From 9d4f76f226c1e545bb4f91b730127a4dd69103bb Mon Sep 17 00:00:00 2001
From: dcherian <dcherian@users.noreply.github.com>
Date: Sat, 17 Feb 2024 22:35:49 +0000
Subject: [PATCH] deploy: 28a0c1a48588cdf9b081953ef30a56bec6fec4fd

---
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 create mode 100644 _static/_sphinx_javascript_frameworks_compat.js
 rename _static/{jquery-3.5.1.js => jquery-3.6.0.js} (98%)
 create mode 100644 _static/styles/bootstrap.css.map
 create mode 100644 _static/styles/pydata-sphinx-theme.css.map
 delete mode 100644 _static/vendor/fontawesome/6.1.2/css/all.min.css
 delete mode 100644 _static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.ttf
 delete mode 100644 _static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.woff2
 delete mode 100644 _static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.ttf
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 delete mode 100644 _static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.ttf
 delete mode 100644 _static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2
 delete mode 100644 _static/vendor/fontawesome/6.1.2/webfonts/fa-v4compatibility.ttf
 delete mode 100644 _static/vendor/fontawesome/6.1.2/webfonts/fa-v4compatibility.woff2
 rename _static/vendor/fontawesome/{6.1.2 => 6.5.1}/LICENSE.txt (98%)
 create mode 100644 _static/vendor/fontawesome/6.5.1/css/all.min.css
 create mode 100644 _static/vendor/fontawesome/6.5.1/js/all.min.js
 create mode 100644 _static/vendor/fontawesome/6.5.1/js/all.min.js.LICENSE.txt
 create mode 100644 _static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.ttf
 create mode 100644 _static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2
 create mode 100644 _static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.ttf
 create mode 100644 _static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2
 create mode 100644 _static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.ttf
 create mode 100644 _static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2
 create mode 100644 _static/vendor/fontawesome/6.5.1/webfonts/fa-v4compatibility.ttf
 create mode 100644 _static/vendor/fontawesome/6.5.1/webfonts/fa-v4compatibility.woff2

diff --git a/.buildinfo b/.buildinfo
index 3e197f71..e3604d08 100644
--- a/.buildinfo
+++ b/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: e5b132d8fc8387ede23eb04150b418a8
+config: 68e090e565481de33689d6dd9af77bfd
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/404.html b/404.html
index 56a5fef6..32531237 100644
--- a/404.html
+++ b/404.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -18,15 +18,15 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="/_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="/_static/styles/bootstrap.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="/_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="/_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="/_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="/_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="/_static/vendor/fontawesome/6.1.2/css/all.min.css?digest=e353d410970836974a52" rel="stylesheet" />
-  <link rel="preload" as="font" type="font/woff2" crossorigin href="/_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="/_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="/_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="/_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="/_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="/_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="/_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
     <link rel="stylesheet" type="text/css" href="/_static/pygments.css" />
     <link rel="stylesheet" href="/_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
@@ -39,12 +39,14 @@
     <link rel="stylesheet" type="text/css" href="/_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="/_static/scripts/bootstrap.js?digest=e353d410970836974a52" />
-<link rel="preload" as="script" href="/_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="/_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="/_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="/_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script data-url_root="#" id="documentation_options" src="/_static/documentation_options.js"></script>
     <script src="/_static/jquery.js"></script>
     <script src="/_static/underscore.js"></script>
+    <script src="/_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="/_static/doctools.js"></script>
     <script src="/_static/clipboard.min.js"></script>
     <script src="/_static/copybutton.js"></script>
@@ -80,7 +82,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -115,12 +125,17 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
+        
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -134,6 +149,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="/intro.html">
@@ -141,13 +157,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="/_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="/_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="/_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="/_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -363,20 +380,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
   <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -403,7 +422,7 @@ <h1></h1>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <h1>Whoops! 404 Page Not Found</h1>
 
@@ -414,22 +433,20 @@ <h1>Whoops! 404 Page Not Found</h1>
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
-</div></div>
-  
 </div>
-
                 </footer>
               
             </div>
             
             
               
+                <div class="bd-sidebar-secondary bd-toc"></div>
+              
             
           </div>
           <footer class="bd-footer-content">
@@ -446,6 +463,7 @@ <h1>Whoops! 404 Page Not Found</h1>
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2023.
@@ -472,8 +490,8 @@ <h1>Whoops! 404 Page Not Found</h1>
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="/_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="/_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="/_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="/_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/CONTRIBUTING.html b/CONTRIBUTING.html
index 1551b4a8..15a3f58b 100644
--- a/CONTRIBUTING.html
+++ b/CONTRIBUTING.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
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@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
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@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -431,20 +446,22 @@
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-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
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 </script>
 
+
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+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
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@@ -486,10 +503,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="contributing-guide">
-<h1>Contributing Guide<a class="headerlink" href="#contributing-guide" title="Permalink to this headline">#</a></h1>
+<h1>Contributing Guide<a class="headerlink" href="#contributing-guide" title="Permalink to this heading">#</a></h1>
 <p>This tutorial repository is a great opportunity to start contributing to Xarray.</p>
 <ul class="simple">
 <li><p>Report bugs, request features or submit feedback as a <a class="reference external" href="https://docs.github.com/en/issues/tracking-your-work-with-issues/about-issues">GitHub Issue</a>. First check existing <a class="reference external" href="https://github.com/xarray-contrib/xarray-tutorial/issues">issues</a> !</p></li>
@@ -500,7 +517,7 @@ <h1>Contributing Guide<a class="headerlink" href="#contributing-guide" title="Pe
 <p>The Project Pythia Foundations material on  <a class="reference external" href="https://foundations.projectpythia.org/foundations/getting-started-github.html">Github</a> and Github workflows is a great place to start if you are new to this.</p>
 </div>
 <section id="content-guidelines">
-<h2>Content Guidelines<a class="headerlink" href="#content-guidelines" title="Permalink to this headline">#</a></h2>
+<h2>Content Guidelines<a class="headerlink" href="#content-guidelines" title="Permalink to this heading">#</a></h2>
 <p>Please note that examples submitted to this repository should follow these
 guidelines:</p>
 <ol class="arabic simple">
@@ -513,7 +530,7 @@ <h2>Content Guidelines<a class="headerlink" href="#content-guidelines" title="Pe
 </ol>
 </section>
 <section id="fork-this-repository">
-<h2>Fork this repository<a class="headerlink" href="#fork-this-repository" title="Permalink to this headline">#</a></h2>
+<h2>Fork this repository<a class="headerlink" href="#fork-this-repository" title="Permalink to this heading">#</a></h2>
 <p>We recommend first forking this repository and creating a local copy:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">clone</span> <span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">YOURACCOUNT</span><span class="o">/</span><span class="n">xarray</span><span class="o">-</span><span class="n">tutorial</span><span class="o">.</span><span class="n">git</span>
 <span class="n">cd</span> <span class="n">xarray</span><span class="o">-</span><span class="n">tutorial</span>
@@ -521,7 +538,7 @@ <h2>Fork this repository<a class="headerlink" href="#fork-this-repository" title
 </div>
 </section>
 <section id="create-a-python-environment">
-<h2>Create a Python environment<a class="headerlink" href="#create-a-python-environment" title="Permalink to this headline">#</a></h2>
+<h2>Create a Python environment<a class="headerlink" href="#create-a-python-environment" title="Permalink to this heading">#</a></h2>
 <p>You’ll need <code class="docutils literal notranslate"><span class="pre">conda</span></code> or <code class="docutils literal notranslate"><span class="pre">mamba</span></code>, which can be installed from <a class="github reference external" href="https://github.com/conda-forge/miniforge">conda-forge/miniforge</a></p>
 <p>We also use <a class="reference external" href="https://conda.github.io/conda-lock/">conda-lock</a> to ensure we have reproducible environments across different operating systems</p>
 <p>We also use <a class="reference external" href="https://pre-commit.com">pre-commit hooks</a> to run styling and other checks before committing code.</p>
@@ -535,7 +552,7 @@ <h2>Create a Python environment<a class="headerlink" href="#create-a-python-envi
 </div>
 </section>
 <section id="add-content">
-<h2>Add content<a class="headerlink" href="#add-content" title="Permalink to this headline">#</a></h2>
+<h2>Add content<a class="headerlink" href="#add-content" title="Permalink to this heading">#</a></h2>
 <p>Develop your new content on a branch. See <a class="reference external" href="https://jupyterbook.org/en/stable/intro.html">JupyterBook Docs</a> for guides on adding <code class="docutils literal notranslate"><span class="pre">.md</span></code>, <code class="docutils literal notranslate"><span class="pre">.ipynb</span></code> and other content.</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">checkout</span> <span class="o">-</span><span class="n">b</span> <span class="n">newcontent</span>
 <span class="n">git</span> <span class="n">add</span> <span class="o">.</span>
@@ -544,14 +561,14 @@ <h2>Add content<a class="headerlink" href="#add-content" title="Permalink to thi
 </div>
 </section>
 <section id="preview-your-changes">
-<h2>Preview your changes<a class="headerlink" href="#preview-your-changes" title="Permalink to this headline">#</a></h2>
+<h2>Preview your changes<a class="headerlink" href="#preview-your-changes" title="Permalink to this heading">#</a></h2>
 <p>Running jupyterbook will execute notebooks and render HTML pages for the website. Be sure to fix any execution errors and preview the website in your web browser to make sure everything looks good!</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">jb</span> <span class="n">build</span> <span class="o">.</span>
 </pre></div>
 </div>
 </section>
 <section id="open-a-pull-request">
-<h2>Open a pull request<a class="headerlink" href="#open-a-pull-request" title="Permalink to this headline">#</a></h2>
+<h2>Open a pull request<a class="headerlink" href="#open-a-pull-request" title="Permalink to this heading">#</a></h2>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">git</span> <span class="n">push</span>
 </pre></div>
 </div>
@@ -584,11 +601,10 @@ <h2>Open a pull request<a class="headerlink" href="#open-a-pull-request" title="
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
        href="workshops/online-tutorial-series/03_computation.html"
@@ -608,10 +624,7 @@ <h2>Open a pull request<a class="headerlink" href="#open-a-pull-request" title="
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
-  
 </div>
-
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@@ -620,6 +633,7 @@ <h2>Open a pull request<a class="headerlink" href="#open-a-pull-request" title="
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
   <div class="sidebar-secondary-item">
   <div class="page-toc tocsection onthispage">
     <i class="fa-solid fa-list"></i> Contents
@@ -653,6 +667,7 @@ <h2>Open a pull request<a class="headerlink" href="#open-a-pull-request" title="
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2023.
@@ -679,8 +694,8 @@ <h2>Open a pull request<a class="headerlink" href="#open-a-pull-request" title="
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index 3de97858..2473d9c7 100644
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+  dependencies:
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-- name: python_abi
-  version: '3.11'
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   manager: conda
   platform: linux-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-3_cp311.conda
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+    multidict: '>=4.5,<7.0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+    yarl: '>=1.0,<2.0'
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-- name: tzdata
-  version: 2023c
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2023c-h71feb2d_0.conda
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+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+    yarl: '>=1.0,<2.0'
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-- name: fonts-conda-forge
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   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    font-ttf-dejavu-sans-mono: ''
-    font-ttf-inconsolata: ''
-    font-ttf-source-code-pro: ''
-    font-ttf-ubuntu: ''
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+    python_abi: 3.11.*
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-- name: libgfortran-ng
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   manager: conda
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+  platform: win-64
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.1.0-h69a702a_0.conda
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+    vc14_runtime: '>=14.29.30139'
+    yarl: '>=1.0,<2.0'
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-- name: libgomp
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.1.0-he5830b7_0.conda
+    frozenlist: '>=1.1.0'
+    python: '>=3.7'
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-- name: _openmp_mutex
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   manager: conda
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+  platform: osx-64
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-    libgomp: '>=7.5.0'
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+    python: '>=3.7'
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-- name: fonts-conda-ecosystem
-  version: '1'
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   manager: conda
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+  platform: osx-arm64
   dependencies:
-    fonts-conda-forge: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
+    python: '>=3.7'
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-- name: libgcc-ng
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   manager: conda
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+  platform: win-64
   dependencies:
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-    _openmp_mutex: '>=4.5'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.1.0-he5830b7_0.conda
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-- name: aws-c-common
-  version: 0.8.20
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.8.20-hd590300_0.conda
+    python: '>=3.9'
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-- name: bzip2
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   manager: conda
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+  platform: osx-64
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-  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h7f98852_4.tar.bz2
+    python: '>=3.9'
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-- name: c-ares
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.19.1-hd590300_0.conda
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-- name: freexl
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   manager: conda
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/freexl-1.0.6-h166bdaf_1.tar.bz2
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-- name: fribidi
-  version: 1.0.10
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.10-h36c2ea0_0.tar.bz2
+    exceptiongroup: '>=1.0.2'
+    idna: '>=2.8'
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+    typing_extensions: '>=4.1'
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-- name: geos
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   manager: conda
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+  platform: osx-64
   dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/geos-3.11.2-hcb278e6_0.conda
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-- name: gettext
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/gettext-0.21.1-h27087fc_0.tar.bz2
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-- name: gflags
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: giflib
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.1-h0b41bf4_3.conda
+    python: '>=3.7'
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-- name: gmp
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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+    python: '>=3.7'
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-- name: graphite2
-  version: 1.3.13
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   manager: conda
   platform: linux-64
   dependencies:
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-    libstdcxx-ng: '>=7.5.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h58526e2_1001.tar.bz2
+    argon2-cffi-bindings: ''
+    python: '>=3.7'
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   optional: false
-- name: icu
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   manager: conda
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+  platform: osx-64
   dependencies:
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-    libstdcxx-ng: '>=12'
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-- name: libjpeg-turbo
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-- name: libnuma
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-- name: libtool
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-- name: libutf8proc
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-- name: libuuid
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-- name: libwebp-base
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-- name: libzlib
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+    typing_extensions: '>=4.0.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: lz4-c
-  version: 1.9.4
+- name: atk-1.0
+  version: 2.38.0
   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
+    libglib: '>=2.74.1,<3.0a0'
     libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.9.4-hcb278e6_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/atk-1.0-2.38.0-hd4edc92_1.tar.bz2
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   optional: false
-- name: lzo
-  version: '2.10'
+- name: atk-1.0
+  version: 2.38.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    libgcc-ng: '>=7.5.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/lzo-2.10-h516909a_1000.tar.bz2
+    libcxx: '>=14.0.4'
+    libglib: '>=2.74.1,<3.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/atk-1.0-2.38.0-h1d18e73_1.tar.bz2
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   optional: false
-- name: ncurses
-  version: '6.4'
+- name: atk-1.0
+  version: 2.38.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.4-hcb278e6_0.conda
+    libcxx: '>=14.0.4'
+    libglib: '>=2.74.1,<3.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/atk-1.0-2.38.0-hcb7b3dd_1.tar.bz2
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   optional: false
-- name: nspr
-  version: '4.35'
+- name: attrs
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   manager: conda
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   dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/nspr-4.35-h27087fc_0.conda
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
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   category: main
   optional: false
-- name: openssl
-  version: 3.1.1
+- name: attrs
+  version: 23.2.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    ca-certificates: ''
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.1.1-hd590300_1.conda
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
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   category: main
   optional: false
-- name: pixman
-  version: 0.40.0
+- name: attrs
+  version: 23.2.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/pixman-0.40.0-h36c2ea0_0.tar.bz2
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
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   category: main
   optional: false
-- name: pthread-stubs
-  version: '0.4'
+- name: attrs
+  version: 23.2.0
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-h36c2ea0_1001.tar.bz2
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
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   optional: false
-- name: rdma-core
-  version: '28.9'
+- name: aws-c-auth
+  version: 0.7.15
   manager: conda
   platform: linux-64
   dependencies:
-    __glibc: '>=2.17,<3.0.a0'
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-c-sdkutils: '>=0.1.14,<0.1.15.0a0'
     libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/rdma-core-28.9-h59595ed_1.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.7.15-h70caa3e_0.conda
   hash:
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   optional: false
-- name: re2
-  version: 2023.03.02
+- name: aws-c-auth
+  version: 0.7.15
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/re2-2023.03.02-h8c504da_0.conda
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-c-sdkutils: '>=0.1.14,<0.1.15.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-auth-0.7.15-hfc9c217_0.conda
   hash:
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-- name: snappy
-  version: 1.1.10
+- name: aws-c-auth
+  version: 0.7.15
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/snappy-1.1.10-h9fff704_0.conda
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-c-sdkutils: '>=0.1.14,<0.1.15.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-auth-0.7.15-h8117f06_0.conda
   hash:
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   optional: false
-- name: tzcode
-  version: 2023c
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+  version: 0.7.15
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/tzcode-2023c-h0b41bf4_0.conda
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
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+    aws-c-sdkutils: '>=0.1.14,<0.1.15.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-c-auth-0.7.15-ha04060b_0.conda
   hash:
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   category: main
   optional: false
-- name: xorg-kbproto
-  version: 1.0.7
+- name: aws-c-cal
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-kbproto-1.0.7-h7f98852_1002.tar.bz2
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    libgcc-ng: '>=12'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.6.9-h14ec70c_3.conda
   hash:
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   optional: false
-- name: xorg-libice
-  version: 1.1.1
+- name: aws-c-cal
+  version: 0.6.9
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hd590300_0.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-cal-0.6.9-he75d6b7_3.conda
   hash:
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   optional: false
-- name: xorg-libxau
-  version: 1.0.11
+- name: aws-c-cal
+  version: 0.6.9
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hd590300_0.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-cal-0.6.9-h4fd42c2_3.conda
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   optional: false
-- name: xorg-libxdmcp
-  version: 1.1.3
+- name: aws-c-cal
+  version: 0.6.9
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.3-h7f98852_0.tar.bz2
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-c-cal-0.6.9-hd33547d_3.conda
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   optional: false
-- name: xorg-renderproto
-  version: 0.11.1
+- name: aws-c-common
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-renderproto-0.11.1-h7f98852_1002.tar.bz2
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.12-hd590300_0.conda
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-- name: xorg-xextproto
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   manager: conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xextproto-7.3.0-h0b41bf4_1003.conda
+  platform: osx-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-common-0.9.12-h10d778d_0.conda
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-- name: xorg-xproto
-  version: 7.0.31
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   manager: conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xproto-7.0.31-h7f98852_1007.tar.bz2
+  platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-common-0.9.12-h93a5062_0.conda
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   optional: false
-- name: xz
-  version: 5.2.6
+- name: aws-c-common
+  version: 0.9.12
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
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+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-c-common-0.9.12-hcfcfb64_0.conda
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   optional: false
-- name: yaml
-  version: 0.2.5
+- name: aws-c-compression
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   manager: conda
   platform: linux-64
   dependencies:
-    libgcc-ng: '>=9.4.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.17-h572eabf_8.conda
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   optional: false
-- name: aws-c-cal
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+- name: aws-c-compression
+  version: 0.2.17
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    openssl: '>=3.1.0,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.5.27-hf85dbcb_0.conda
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+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-compression-0.2.17-h45babc2_8.conda
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   category: main
   optional: false
 - name: aws-c-compression
   version: 0.2.17
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.17-h4b87b72_0.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-compression-0.2.17-h4fd42c2_8.conda
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   category: main
   optional: false
-- name: aws-c-sdkutils
-  version: 0.1.10
+- name: aws-c-compression
+  version: 0.2.17
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.1.10-h4b87b72_0.conda
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+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-c-compression-0.2.17-hd33547d_8.conda
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   category: main
   optional: false
-- name: aws-checksums
-  version: 0.1.16
+- name: aws-c-event-stream
+  version: 0.4.1
   manager: conda
   platform: linux-64
   dependencies:
-    aws-c-common: '>=0.8.20,<0.8.21.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
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     libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.1.16-h4b87b72_0.conda
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.4.1-h17cd1f3_5.conda
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   category: main
   optional: false
-- name: expat
-  version: 2.5.0
+- name: aws-c-event-stream
+  version: 0.4.1
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/expat-2.5.0-hcb278e6_1.conda
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+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-checksums: '>=0.1.17,<0.1.18.0a0'
+    libcxx: '>=15'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-event-stream-0.4.1-h725fa68_5.conda
   hash:
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   category: main
   optional: false
-- name: glog
-  version: 0.6.0
+- name: aws-c-event-stream
+  version: 0.4.1
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/glog-0.6.0-h6f12383_0.tar.bz2
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-checksums: '>=0.1.17,<0.1.18.0a0'
+    libcxx: '>=15'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-event-stream-0.4.1-hf6cc7c5_5.conda
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   optional: false
-- name: hdf4
-  version: 4.2.15
+- name: aws-c-event-stream
+  version: 0.4.1
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    libgcc-ng: '>=12'
-    libjpeg-turbo: '>=2.1.5.1,<3.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h501b40f_6.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
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+    aws-checksums: '>=0.1.17,<0.1.18.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-c-event-stream-0.4.1-hf127292_5.conda
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   category: main
   optional: false
-- name: libblas
-  version: 3.9.0
+- name: aws-c-http
+  version: 0.8.0
   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-17_linux64_openblas.conda
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-compression: '>=0.2.17,<0.2.18.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.8.0-hc6da83f_5.conda
   hash:
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   optional: false
-- name: libbrotlidec
-  version: 1.0.9
+- name: aws-c-http
+  version: 0.8.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.0.9-h166bdaf_8.tar.bz2
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-compression: '>=0.2.17,<0.2.18.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-http-0.8.0-heddac68_5.conda
   hash:
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   category: main
   optional: false
-- name: libbrotlienc
-  version: 1.0.9
+- name: aws-c-http
+  version: 0.8.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    libbrotlicommon: 1.0.9
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.0.9-h166bdaf_8.tar.bz2
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-compression: '>=0.2.17,<0.2.18.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-http-0.8.0-hf1748bb_5.conda
   hash:
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   optional: false
-- name: libedit
-  version: 3.1.20191231
+- name: aws-c-http
+  version: 0.8.0
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    ncurses: '>=6.2,<7.0.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2
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+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-compression: '>=0.2.17,<0.2.18.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-c-http-0.8.0-h0cc4be6_5.conda
   hash:
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   optional: false
-- name: libevent
-  version: 2.1.12
+- name: aws-c-io
+  version: 0.14.3
   manager: conda
   platform: linux-64
   dependencies:
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
     libgcc-ng: '>=12'
-    openssl: '>=3.1.1,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.12-hf998b51_1.conda
+    s2n: '>=1.4.3,<1.4.4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-io-0.14.3-h3c8c088_1.conda
   hash:
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   category: main
   optional: false
-- name: libllvm14
-  version: 14.0.6
+- name: aws-c-io
+  version: 0.14.3
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libllvm14-14.0.6-hcd5def8_3.conda
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-io-0.14.3-h49ca7b5_1.conda
   hash:
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   category: main
   optional: false
-- name: libnghttp2
-  version: 1.52.0
+- name: aws-c-io
+  version: 0.14.3
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    c-ares: '>=1.18.1,<2.0a0'
-    libev: '>=4.33,<4.34.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.52.0-h61bc06f_0.conda
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-io-0.14.3-h8daa835_1.conda
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   category: main
   optional: false
-- name: libpng
-  version: 1.6.39
+- name: aws-c-io
+  version: 0.14.3
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.39-h753d276_0.conda
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-c-io-0.14.3-hf372335_1.conda
   hash:
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   category: main
   optional: false
-- name: libprotobuf
-  version: 3.21.12
+- name: aws-c-mqtt
+  version: 0.10.1
   manager: conda
   platform: linux-64
   dependencies:
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
     libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-3.21.12-h3eb15da_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-mqtt-0.10.1-h0ef3971_3.conda
   hash:
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   category: main
   optional: false
-- name: librttopo
-  version: 1.1.0
+- name: aws-c-mqtt
+  version: 0.10.1
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    geos: '>=3.11.2,<3.11.3.0a0'
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/librttopo-1.1.0-h0d5128d_13.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-mqtt-0.10.1-hcdc93dc_3.conda
   hash:
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   category: main
   optional: false
-- name: libsqlite
-  version: 3.42.0
+- name: aws-c-mqtt
+  version: 0.10.1
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.42.0-h2797004_0.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-mqtt-0.10.1-h7f0f801_3.conda
   hash:
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-    sha256: 72e958870f49174ebc0ddcd4129e9a9f48de815f20aa3b553f136b514f29bb3a
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   category: main
   optional: false
-- name: libssh2
-  version: 1.11.0
+- name: aws-c-mqtt
+  version: 0.10.1
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    libgcc-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    openssl: '>=3.1.1,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.0-h0841786_0.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-c-mqtt-0.10.1-h189e261_3.conda
   hash:
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-    sha256: 50e47fd9c4f7bf841a11647ae7486f65220cfc988ec422a4475fe8d5a823824d
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+    sha256: 5c963b0f806235ee661149ac3a516a43a4c83fc0f48674c6cfe3da58dec5e2c7
   category: main
   optional: false
-- name: libxcb
-  version: '1.15'
+- name: aws-c-s3
+  version: 0.5.0
   manager: conda
   platform: linux-64
   dependencies:
+    aws-c-auth: '>=0.7.15,<0.7.16.0a0'
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-checksums: '>=0.1.17,<0.1.18.0a0'
     libgcc-ng: '>=12'
-    pthread-stubs: ''
-    xorg-libxau: ''
-    xorg-libxdmcp: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda
+    openssl: '>=3.2.1,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.5.0-h1b46bed_2.conda
   hash:
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-    sha256: a670902f0a3173a466c058d2ac22ca1dd0df0453d3a80e0212815c20a16b0485
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+    sha256: 48924ea5282d6ac8481eb9cfb3b370d77746c932920cfaa7ee090ab81f25f32e
   category: main
   optional: false
-- name: libxml2
-  version: 2.11.4
+- name: aws-c-s3
+  version: 0.5.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    icu: '>=72.1,<73.0a0'
-    libgcc-ng: '>=12'
-    libiconv: '>=1.17,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    xz: '>=5.2.6,<6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.11.4-h0d562d8_0.conda
+    aws-c-auth: '>=0.7.15,<0.7.16.0a0'
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-checksums: '>=0.1.17,<0.1.18.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-s3-0.5.0-h04e2de8_2.conda
   hash:
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-    sha256: bc7fa8590c15ffdea5101075ce02de09441c9f378ac1d05e26510d12d25d7099
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   category: main
   optional: false
-- name: libzip
-  version: 1.9.2
+- name: aws-c-s3
+  version: 0.5.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    bzip2: '>=1.0.8,<2.0a0'
-    libgcc-ng: '>=12'
-    libzlib: '>=1.2.12,<1.3.0a0'
-    openssl: '>=3.0.5,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libzip-1.9.2-hc929e4a_1.tar.bz2
+    aws-c-auth: '>=0.7.15,<0.7.16.0a0'
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-checksums: '>=0.1.17,<0.1.18.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-s3-0.5.0-hbb97ff1_2.conda
   hash:
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-    sha256: e2dbd5239f62fbac4f00f828b1de0ea5898d6ed5c1f3049baaf4dfcc4ebdbe7c
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   category: main
   optional: false
-- name: pcre2
-  version: '10.40'
+- name: aws-c-s3
+  version: 0.5.0
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    bzip2: '>=1.0.8,<2.0a0'
-    libgcc-ng: '>=12'
-    libzlib: '>=1.2.12,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.40-hc3806b6_0.tar.bz2
+    aws-c-auth: '>=0.7.15,<0.7.16.0a0'
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-checksums: '>=0.1.17,<0.1.18.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-c-s3-0.5.0-h582d114_2.conda
   hash:
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-    sha256: 7a29ec847556eed4faa1646010baae371ced69059a4ade43851367a076d6108a
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+    sha256: 5e5ba602345afb829118b0c05729fb1ebebe801bc905e6ae659852082ecbfb54
   category: main
   optional: false
-- name: readline
-  version: '8.2'
+- name: aws-c-sdkutils
+  version: 0.1.14
   manager: conda
   platform: linux-64
   dependencies:
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
     libgcc-ng: '>=12'
-    ncurses: '>=6.3,<7.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.1.14-h572eabf_0.conda
   hash:
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-    sha256: 5435cf39d039387fbdc977b0a762357ea909a7694d9528ab40f005e9208744d7
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+    sha256: 5e9ee515fc99105a92938cd28f9229c1abb38d8afb6ec223cfbeee0f9082ebd8
   category: main
   optional: false
-- name: s2n
-  version: 1.3.45
+- name: aws-c-sdkutils
+  version: 0.1.14
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    libgcc-ng: '>=12'
-    openssl: '>=3.1.1,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.3.45-h06160fa_0.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-sdkutils-0.1.14-h45babc2_0.conda
   hash:
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   category: main
   optional: false
-- name: tk
-  version: 8.6.12
+- name: aws-c-sdkutils
+  version: 0.1.14
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    libgcc-ng: '>=9.4.0'
-    libzlib: '>=1.2.11,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.12-h27826a3_0.tar.bz2
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-sdkutils-0.1.14-h4fd42c2_0.conda
   hash:
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-    sha256: 032fd769aad9d4cad40ba261ab222675acb7ec951a8832455fce18ef33fa8df0
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   category: main
   optional: false
-- name: ucx
-  version: 1.14.1
+- name: aws-c-sdkutils
+  version: 0.1.14
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    libgcc-ng: '>=12'
-    libnuma: '>=2.0.16,<3.0a0'
-    libstdcxx-ng: '>=12'
-    rdma-core: '>=28.9,<29.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/ucx-1.14.1-hf587318_2.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-c-sdkutils-0.1.14-hd33547d_0.conda
   hash:
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-    sha256: 3cb73a2177457d092cbe1ac5ad1a7ea2c75c1080516776807014a5d991f146e6
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   category: main
   optional: false
-- name: xorg-libsm
-  version: 1.2.4
+- name: aws-checksums
+  version: 0.1.17
   manager: conda
   platform: linux-64
   dependencies:
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
     libgcc-ng: '>=12'
-    libuuid: '>=2.38.1,<3.0a0'
-    xorg-libice: '>=1.1.1,<2.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-h7391055_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.1.17-h572eabf_7.conda
   hash:
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-    sha256: 089ad5f0453c604e18985480218a84b27009e9e6de9a0fa5f4a20b8778ede1f1
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+    sha256: c29ca126f9dd520cc749e8cb99b07168badb333b4b1b95577bb1788c432fe2d0
   category: main
   optional: false
-- name: zeromq
-  version: 4.3.4
+- name: aws-checksums
+  version: 0.1.17
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    libgcc-ng: '>=9.4.0'
-    libsodium: '>=1.0.18,<1.0.19.0a0'
-    libstdcxx-ng: '>=9.4.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/zeromq-4.3.4-h9c3ff4c_1.tar.bz2
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-checksums-0.1.17-h45babc2_7.conda
   hash:
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+    sha256: 9f6e240ce66f3d120b6bc7d6ac9f3625c039a2f0b4132479ccc9798d08200e8f
   category: main
   optional: false
-- name: zlib
-  version: 1.2.13
+- name: aws-checksums
+  version: 0.1.17
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    libgcc-ng: '>=12'
-    libzlib: 1.2.13
-  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-hd590300_5.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-checksums-0.1.17-h4fd42c2_7.conda
   hash:
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   category: main
   optional: false
-- name: zstd
-  version: 1.5.2
+- name: aws-checksums
+  version: 0.1.17
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.2-h3eb15da_6.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-checksums-0.1.17-hd33547d_7.conda
   hash:
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-    sha256: fbe49a8c8df83c2eccb37c5863ad98baeb29796ec96f2c503783d7b89bf80c98
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   category: main
   optional: false
-- name: aws-c-io
-  version: 0.13.26
+- name: aws-crt-cpp
+  version: 0.26.1
   manager: conda
   platform: linux-64
   dependencies:
-    aws-c-cal: '>=0.5.27,<0.5.28.0a0'
-    aws-c-common: '>=0.8.20,<0.8.21.0a0'
+    aws-c-auth: '>=0.7.15,<0.7.16.0a0'
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-event-stream: '>=0.4.1,<0.4.2.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-c-mqtt: '>=0.10.1,<0.10.2.0a0'
+    aws-c-s3: '>=0.5.0,<0.5.1.0a0'
+    aws-c-sdkutils: '>=0.1.14,<0.1.15.0a0'
     libgcc-ng: '>=12'
-    s2n: '>=1.3.45,<1.3.46.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-io-0.13.26-h0d05201_0.conda
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.26.1-h33f84b2_9.conda
   hash:
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-    sha256: e7b5b6d991ccac4b5909298040c920dfdd97ad030ddeb5ba555a1cb6a0a8f019
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+    sha256: b2fac52808753136a6f17274f0bd63a5dfe9a4278e1a35749cb288a650560949
   category: main
   optional: false
-- name: blosc
-  version: 1.21.4
+- name: aws-crt-cpp
+  version: 0.26.1
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    lz4-c: '>=1.9.3,<1.10.0a0'
-    snappy: '>=1.1.10,<2.0a0'
-    zstd: '>=1.5.2,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.4-h0f2a231_0.conda
+    aws-c-auth: '>=0.7.15,<0.7.16.0a0'
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-event-stream: '>=0.4.1,<0.4.2.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-c-mqtt: '>=0.10.1,<0.10.2.0a0'
+    aws-c-s3: '>=0.5.0,<0.5.1.0a0'
+    aws-c-sdkutils: '>=0.1.14,<0.1.15.0a0'
+    libcxx: '>=16'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-crt-cpp-0.26.1-h7fdfd8c_9.conda
   hash:
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-    sha256: 40d1712aa0f4f8bac2ab5fba6179814f8ff7afbb7ffc55c8e315e7b3930b83f1
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+    sha256: c9fc648d81ca75336dfda7ad2c063ddf02dba4ff58638429b94ac09670ba1de2
   category: main
   optional: false
-- name: boost-cpp
-  version: 1.78.0
+- name: aws-crt-cpp
+  version: 0.26.1
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    bzip2: '>=1.0.8,<2.0a0'
-    icu: '>=72.1,<73.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/boost-cpp-1.78.0-h6582d0a_3.conda
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+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-event-stream: '>=0.4.1,<0.4.2.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-c-mqtt: '>=0.10.1,<0.10.2.0a0'
+    aws-c-s3: '>=0.5.0,<0.5.1.0a0'
+    aws-c-sdkutils: '>=0.1.14,<0.1.15.0a0'
+    libcxx: '>=16'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-crt-cpp-0.26.1-h9b04f48_9.conda
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   category: main
   optional: false
-- name: brotli-bin
-  version: 1.0.9
+- name: aws-crt-cpp
+  version: 0.26.1
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    libbrotlienc: 1.0.9
-    libgcc-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.0.9-h166bdaf_8.tar.bz2
+    aws-c-auth: '>=0.7.15,<0.7.16.0a0'
+    aws-c-cal: '>=0.6.9,<0.6.10.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-event-stream: '>=0.4.1,<0.4.2.0a0'
+    aws-c-http: '>=0.8.0,<0.8.1.0a0'
+    aws-c-io: '>=0.14.3,<0.14.4.0a0'
+    aws-c-mqtt: '>=0.10.1,<0.10.2.0a0'
+    aws-c-s3: '>=0.5.0,<0.5.1.0a0'
+    aws-c-sdkutils: '>=0.1.14,<0.1.15.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-crt-cpp-0.26.1-he292853_9.conda
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   category: main
   optional: false
-- name: freetype
-  version: 2.12.1
+- name: aws-sdk-cpp
+  version: 1.11.242
   manager: conda
   platform: linux-64
   dependencies:
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-event-stream: '>=0.4.1,<0.4.2.0a0'
+    aws-checksums: '>=0.1.17,<0.1.18.0a0'
+    aws-crt-cpp: '>=0.26.1,<0.26.2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
     libgcc-ng: '>=12'
-    libpng: '>=1.6.39,<1.7.0a0'
+    libstdcxx-ng: '>=12'
     libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-hca18f0e_1.conda
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aws-sdk-cpp-1.11.242-h65f022c_0.conda
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   category: main
   optional: false
-- name: krb5
-  version: 1.20.1
+- name: aws-sdk-cpp
+  version: 1.11.242
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    keyutils: '>=1.6.1,<2.0a0'
-    libedit: '>=3.1.20191231,<4.0a0'
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.20.1-h81ceb04_0.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-event-stream: '>=0.4.1,<0.4.2.0a0'
+    aws-checksums: '>=0.1.17,<0.1.18.0a0'
+    aws-crt-cpp: '>=0.26.1,<0.26.2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=15'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aws-sdk-cpp-1.11.242-h2d1bcde_0.conda
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   category: main
   optional: false
-- name: libarchive
-  version: 3.6.2
+- name: aws-sdk-cpp
+  version: 1.11.242
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    bzip2: '>=1.0.8,<2.0a0'
-    libgcc-ng: '>=12'
-    libxml2: '>=2.11.3,<2.12.0a0'
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-event-stream: '>=0.4.1,<0.4.2.0a0'
+    aws-checksums: '>=0.1.17,<0.1.18.0a0'
+    aws-crt-cpp: '>=0.26.1,<0.26.2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=15'
     libzlib: '>=1.2.13,<1.3.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libarchive-3.6.2-h039dbb9_1.conda
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-sdk-cpp-1.11.242-h26e3666_0.conda
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   category: main
   optional: false
-- name: libcblas
-  version: 3.9.0
+- name: aws-sdk-cpp
+  version: 1.11.242
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-17_linux64_openblas.conda
+    aws-c-common: '>=0.9.12,<0.9.13.0a0'
+    aws-c-event-stream: '>=0.4.1,<0.4.2.0a0'
+    aws-checksums: '>=0.1.17,<0.1.18.0a0'
+    aws-crt-cpp: '>=0.26.1,<0.26.2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/aws-sdk-cpp-1.11.242-hf72cfbd_0.conda
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   category: main
   optional: false
-- name: libglib
-  version: 2.76.3
+- name: azure-core-cpp
+  version: 1.10.3
   manager: conda
   platform: linux-64
   dependencies:
-    gettext: '>=0.21.1,<1.0a0'
-    libffi: '>=3.4,<4.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
     libgcc-ng: '>=12'
-    libiconv: '>=1.17,<2.0a0'
     libstdcxx-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.76.3-hebfc3b9_0.conda
+    openssl: '>=3.2.1,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/azure-core-cpp-1.10.3-h91d86a7_1.conda
   hash:
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   category: main
   optional: false
-- name: libgrpc
-  version: 1.54.2
+- name: azure-core-cpp
+  version: 1.10.3
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    c-ares: '>=1.18.1,<2.0a0'
-    libabseil: '>=20230125.2,<20230126.0a0'
-    libgcc-ng: '>=12'
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-    zlib: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.54.2-hb20ce57_2.conda
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=15'
+    openssl: '>=3.2.1,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/azure-core-cpp-1.10.3-hbb1e571_1.conda
   hash:
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   category: main
   optional: false
-- name: liblapack
-  version: 3.9.0
+- name: azure-core-cpp
+  version: 1.10.3
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-17_linux64_openblas.conda
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=15'
+    openssl: '>=3.2.1,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/azure-core-cpp-1.10.3-he231e37_1.conda
   hash:
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   category: main
   optional: false
-- name: libthrift
-  version: 0.18.1
+- name: azure-core-cpp
+  version: 1.10.3
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    libevent: '>=2.1.12,<2.1.13.0a0'
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-    libstdcxx-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libthrift-0.18.1-h8fd135c_2.conda
+    libcurl: '>=8.5.0,<9.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/azure-core-cpp-1.10.3-h249a519_1.conda
   hash:
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   category: main
   optional: false
-- name: libtiff
-  version: 4.5.1
+- name: azure-storage-blobs-cpp
+  version: 12.10.0
   manager: conda
   platform: linux-64
   dependencies:
-    lerc: '>=4.0.0,<5.0a0'
-    libdeflate: '>=1.18,<1.19.0a0'
+    azure-core-cpp: '>=1.10.3,<2.0a0'
+    azure-storage-common-cpp: '>=12.5.0,<13.0a0'
     libgcc-ng: '>=12'
-    libjpeg-turbo: '>=2.1.5.1,<3.0a0'
     libstdcxx-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.5.1-h8b53f26_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.10.0-h00ab1b0_0.conda
   hash:
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   category: main
   optional: false
-- name: nss
-  version: '3.89'
+- name: azure-storage-blobs-cpp
+  version: 12.10.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    __glibc: '>=2.17,<3.0.a0'
-    libgcc-ng: '>=12'
-    libsqlite: '>=3.40.0,<4.0a0'
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-    nspr: '>=4.35,<5.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/nss-3.89-he45b914_0.conda
+    __osx: '>=10.9'
+    azure-core-cpp: '>=1.10.3,<2.0a0'
+    azure-storage-common-cpp: '>=12.5.0,<13.0a0'
+    libcxx: '>=16.0.6'
+  url: https://conda.anaconda.org/conda-forge/osx-64/azure-storage-blobs-cpp-12.10.0-he51d815_0.conda
   hash:
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   category: main
   optional: false
-- name: orc
-  version: 1.8.4
+- name: azure-storage-blobs-cpp
+  version: 12.10.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    libgcc-ng: '>=12'
-    libprotobuf: '>=3.21.12,<3.22.0a0'
-    libstdcxx-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/orc-1.8.4-h2f23424_0.conda
+    __osx: '>=10.9'
+    azure-core-cpp: '>=1.10.3,<2.0a0'
+    azure-storage-common-cpp: '>=12.5.0,<13.0a0'
+    libcxx: '>=16.0.6'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/azure-storage-blobs-cpp-12.10.0-h6aa02a4_0.conda
   hash:
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   category: main
   optional: false
-- name: pandoc
-  version: 3.1.3
+- name: azure-storage-blobs-cpp
+  version: 12.10.0
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    gmp: ''
-    libzlib: '>=1.2.13,<1.3.0a0'
-    zlib: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/pandoc-3.1.3-h32600fe_0.conda
+    azure-core-cpp: '>=1.10.3,<2.0a0'
+    azure-storage-common-cpp: '>=12.5.0,<13.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/azure-storage-blobs-cpp-12.10.0-h91493d7_0.conda
   hash:
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   category: main
   optional: false
-- name: python
-  version: 3.11.4
+- name: azure-storage-common-cpp
+  version: 12.5.0
   manager: conda
   platform: linux-64
   dependencies:
-    bzip2: '>=1.0.8,<2.0a0'
-    ld_impl_linux-64: '>=2.36.1'
-    libexpat: '>=2.5.0,<3.0a0'
-    libffi: '>=3.4,<4.0a0'
+    azure-core-cpp: '>=1.10.3,<2.0a0'
     libgcc-ng: '>=12'
-    libnsl: '>=2.0.0,<2.1.0a0'
-    libsqlite: '>=3.42.0,<4.0a0'
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-- name: colorama
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2
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-- name: cycler
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.11.0-pyhd8ed1ab_0.tar.bz2
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+    zstd: '>=1.5.5,<1.6.0a0'
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-- name: dataclasses
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   manager: conda
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/dataclasses-0.8-pyhc8e2a94_3.tar.bz2
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-- name: debugpy
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   manager: conda
   platform: linux-64
   dependencies:
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-    libstdcxx-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/debugpy-1.6.7-py311hcafe171_0.conda
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+    python: '>=3.9'
+    pyyaml: '>=3.10'
+    tornado: '>=5.1'
+    xyzservices: '>=2021.09.1'
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-- name: decorator
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/decorator-5.1.1-pyhd8ed1ab_0.tar.bz2
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-- name: defusedxml
-  version: 0.7.1
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/defusedxml-0.7.1-pyhd8ed1ab_0.tar.bz2
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-- name: distlib
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+  version: 3.3.4
   manager: conda
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.6-pyhd8ed1ab_0.tar.bz2
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-- name: docopt
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   manager: conda
   platform: linux-64
   dependencies:
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-- name: docutils
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+  platform: osx-64
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-- name: entrypoints
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
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-- name: exceptiongroup
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+  platform: win-64
   dependencies:
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-- name: executing
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/executing-1.2.0-pyhd8ed1ab_0.tar.bz2
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-- name: fasteners
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+  platform: osx-64
   dependencies:
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-- name: filelock
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+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/filelock-3.12.2-pyhd8ed1ab_0.conda
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-- name: flit-core
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/flit-core-3.9.0-pyhd8ed1ab_0.conda
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-- name: fontconfig
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   platform: linux-64
   dependencies:
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-- name: frozenlist
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   manager: conda
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+  platform: osx-64
   dependencies:
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+    libcxx: '>=15.0.7'
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     python_abi: 3.11.*
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-- name: fsspec
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+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2023.6.0-pyh1a96a4e_0.conda
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-- name: gdk-pixbuf
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+  platform: win-64
   dependencies:
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+    python_abi: 3.11.*
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/brotli-python-1.1.0-py311h12c1d0e_1.conda
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-- name: greenlet
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   dependencies:
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-    libstdcxx-ng: '>=12'
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-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/greenlet-2.0.2-py311hb755f60_1.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda
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-- name: grpcio
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   manager: conda
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-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/grpcio-1.54.2-py311hcafe171_2.conda
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-- name: gts
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-  url: https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda
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-- name: idna
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   manager: conda
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/idna-3.4-pyhd8ed1ab_0.tar.bz2
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-- name: imagesize
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-  url: https://conda.anaconda.org/conda-forge/noarch/imagesize-1.4.1-pyhd8ed1ab_0.tar.bz2
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+  url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.26.0-hd590300_0.conda
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-- name: ipython_genutils
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/ipython_genutils-0.2.0-py_1.tar.bz2
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-- name: json5
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-- name: jupyterlab-myst
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+  platform: win-64
   dependencies:
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-- name: kiwisolver
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-    libstdcxx-ng: '>=12'
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-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.4-py311h4dd048b_1.tar.bz2
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.2.2-hbcca054_0.conda
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-- name: libcurl
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+  url: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2024.2.2-hf0a4a13_0.conda
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-- name: libkml
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libkml-1.3.0-h37653c0_1015.tar.bz2
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-- name: libpq
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   dependencies:
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-- name: libwebp
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   manager: conda
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   dependencies:
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-- name: llvmlite
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-- name: locket
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   dependencies:
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-- name: lz4
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   dependencies:
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   optional: false
-- name: msgpack-python
-  version: 1.0.5
+- name: cachetools
+  version: 5.3.2
   manager: conda
   platform: linux-64
   dependencies:
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.0.5-py311ha3edf6b_0.conda
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/cachetools-5.3.2-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: multidict
-  version: 6.0.4
+- name: cachetools
+  version: 5.3.2
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    libgcc-ng: '>=12'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/multidict-6.0.4-py311h2582759_0.conda
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/cachetools-5.3.2-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: munkres
-  version: 1.1.4
+- name: cachetools
+  version: 5.3.2
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/cachetools-5.3.2-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: nest-asyncio
-  version: 1.5.6
+- name: cachetools
+  version: 5.3.2
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    python: '>=3.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.5.6-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/cachetools-5.3.2-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: numpy
-  version: 1.24.4
+- name: cairo
+  version: 1.18.0
   manager: conda
   platform: linux-64
   dependencies:
-    libblas: '>=3.9.0,<4.0a0'
-    libcblas: '>=3.9.0,<4.0a0'
+    fontconfig: '>=2.14.2,<3.0a0'
+    fonts-conda-ecosystem: ''
+    freetype: '>=2.12.1,<3.0a0'
+    icu: '>=73.2,<74.0a0'
     libgcc-ng: '>=12'
-    liblapack: '>=3.9.0,<4.0a0'
+    libglib: '>=2.78.0,<3.0a0'
+    libpng: '>=1.6.39,<1.7.0a0'
     libstdcxx-ng: '>=12'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.24.4-py311h64a7726_0.conda
+    libxcb: '>=1.15,<1.16.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    pixman: '>=0.42.2,<1.0a0'
+    xorg-libice: '>=1.1.1,<2.0a0'
+    xorg-libsm: '>=1.2.4,<2.0a0'
+    xorg-libx11: '>=1.8.6,<2.0a0'
+    xorg-libxext: '>=1.3.4,<2.0a0'
+    xorg-libxrender: '>=0.9.11,<0.10.0a0'
+    zlib: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.0-h3faef2a_0.conda
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   category: main
   optional: false
-- name: openjpeg
-  version: 2.5.0
+- name: cairo
+  version: 1.18.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    libgcc-ng: '>=12'
+    __osx: '>=10.9'
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+    freetype: '>=2.12.1,<3.0a0'
+    icu: '>=73.2,<74.0a0'
+    libcxx: '>=16.0.6'
+    libglib: '>=2.78.0,<3.0a0'
     libpng: '>=1.6.39,<1.7.0a0'
-    libstdcxx-ng: '>=12'
-    libtiff: '>=4.5.0,<4.6.0a0'
     libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.0-hfec8fc6_2.conda
+    pixman: '>=0.42.2,<1.0a0'
+    zlib: ''
+  url: https://conda.anaconda.org/conda-forge/osx-64/cairo-1.18.0-h99e66fa_0.conda
   hash:
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   category: main
   optional: false
-- name: packaging
-  version: '23.1'
+- name: cairo
+  version: 1.18.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/packaging-23.1-pyhd8ed1ab_0.conda
+    __osx: '>=10.9'
+    fontconfig: '>=2.14.2,<3.0a0'
+    fonts-conda-ecosystem: ''
+    freetype: '>=2.12.1,<3.0a0'
+    icu: '>=73.2,<74.0a0'
+    libcxx: '>=16.0.6'
+    libglib: '>=2.78.0,<3.0a0'
+    libpng: '>=1.6.39,<1.7.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    pixman: '>=0.42.2,<1.0a0'
+    zlib: ''
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/cairo-1.18.0-hd1e100b_0.conda
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-- name: pandocfilters
-  version: 1.5.0
+- name: cairo
+  version: 1.18.0
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    python: '!=3.0,!=3.1,!=3.2,!=3.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
+    fontconfig: '>=2.14.2,<3.0a0'
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+    freetype: '>=2.12.1,<3.0a0'
+    icu: '>=73.2,<74.0a0'
+    libglib: '>=2.78.0,<3.0a0'
+    libpng: '>=1.6.39,<1.7.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    pixman: '>=0.42.2,<1.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+    zlib: ''
+  url: https://conda.anaconda.org/conda-forge/win-64/cairo-1.18.0-h1fef639_0.conda
   hash:
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   category: main
   optional: false
-- name: param
-  version: 1.13.0
+- name: cartopy
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   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=2.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/param-1.13.0-pyh1a96a4e_0.conda
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+    libstdcxx-ng: '>=12'
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+    numpy: '>=1.23.5,<2.0a0'
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+    pyproj: '>=3.1.0'
+    pyshp: '>=2.1'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+    shapely: '>=1.7'
+  url: https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.22.0-py311h320fe9a_1.conda
   hash:
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   optional: false
-- name: parso
-  version: 0.8.3
+- name: cartopy
+  version: 0.22.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.3-pyhd8ed1ab_0.tar.bz2
+    __osx: '>=10.9'
+    libcxx: '>=16.0.6'
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+    numpy: '>=1.23.5,<2.0a0'
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+    pyproj: '>=3.1.0'
+    pyshp: '>=2.1'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+    shapely: '>=1.7'
+  url: https://conda.anaconda.org/conda-forge/osx-64/cartopy-0.22.0-py311h1eadf79_1.conda
   hash:
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   category: main
   optional: false
-- name: pickleshare
-  version: 0.7.5
+- name: cartopy
+  version: 0.22.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    python: '>=3'
-  url: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
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+    libcxx: '>=16.0.6'
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+    numpy: '>=1.23.5,<2.0a0'
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+    pyproj: '>=3.1.0'
+    pyshp: '>=2.1'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+    shapely: '>=1.7'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/cartopy-0.22.0-py311h6e08293_1.conda
   hash:
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   optional: false
-- name: pkgutil-resolve-name
-  version: 1.3.10
+- name: cartopy
+  version: 0.22.0
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_0.tar.bz2
+    matplotlib-base: '>=3.4'
+    numpy: '>=1.23.5,<2.0a0'
+    packaging: '>=20'
+    pyproj: '>=3.1.0'
+    pyshp: '>=2.1'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+    shapely: '>=1.7'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/cartopy-0.22.0-py311hf63dbb6_1.conda
   hash:
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   category: main
   optional: false
-- name: prometheus_client
-  version: 0.17.0
+- name: certifi
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   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.17.0-pyhd8ed1ab_0.conda
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
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   optional: false
-- name: psutil
-  version: 5.9.5
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   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/psutil-5.9.5-py311h2582759_0.conda
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
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   optional: false
-- name: ptyprocess
-  version: 0.7.0
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   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/ptyprocess-0.7.0-pyhd3deb0d_0.tar.bz2
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
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-- name: pure_eval
-  version: 0.2.2
+- name: certifi
+  version: 2024.2.2
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    python: '>=3.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/certifi-2024.2.2-pyhd8ed1ab_0.conda
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   optional: false
-- name: pyasn1
-  version: 0.4.8
+- name: cf_xarray
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   manager: conda
   platform: linux-64
   dependencies:
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/pyasn1-0.4.8-py_0.tar.bz2
+    python: '>=3.9'
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+  url: https://conda.anaconda.org/conda-forge/noarch/cf_xarray-0.8.9-pyhd8ed1ab_0.conda
   hash:
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   optional: false
-- name: pycparser
-  version: '2.21'
+- name: cf_xarray
+  version: 0.8.9
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    python: 2.7.*|>=3.4
-  url: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.21-pyhd8ed1ab_0.tar.bz2
+    xarray: ''
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/cf_xarray-0.8.9-pyhd8ed1ab_0.conda
   hash:
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-- name: pygments
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-- name: python-fastjsonschema
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-- name: python-json-logger
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-- name: python-tzdata
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-- name: pytz
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+  platform: win-64
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-- name: pyyaml
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-- name: pyzmq
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-- name: rfc3986-validator
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-- name: send2trash
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-- name: snowballstemmer
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+    pyct: '>=0.4.4'
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-- name: zict
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+- name: colorcet
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   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_0.conda
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-- name: zipp
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   manager: conda
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.15.0-pyhd8ed1ab_0.conda
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-- name: accessible-pygments
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   dependencies:
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     python: '>=3.6'
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-- name: asttokens
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+  platform: osx-64
   dependencies:
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-- name: async-lru
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+  platform: osx-arm64
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-- name: aws-c-auth
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   manager: conda
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+  platform: win-64
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-- name: aws-c-mqtt
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   manager: conda
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-- name: babel
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   manager: conda
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+  platform: osx-64
   dependencies:
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-    pytz: ''
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-- name: backports.functools_lru_cache
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-- name: beautifulsoup4
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   manager: conda
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+  platform: win-64
   dependencies:
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-    soupsieve: '>=1.2'
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-- name: bleach
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/bleach-6.0.0-pyhd8ed1ab_0.conda
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+    openssl: '>=3.2.1,<4.0a0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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-- name: cairo
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   manager: conda
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+  platform: osx-64
   dependencies:
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+    openssl: '>=3.2.1,<4.0a0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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-- name: cffi
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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     python_abi: 3.11.*
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+  url: https://conda.anaconda.org/conda-forge/osx-arm64/cryptography-42.0.3-py311h71175c2_0.conda
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-- name: cfitsio
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   manager: conda
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   dependencies:
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-- name: cftime
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   dependencies:
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-- name: click-plugins
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   manager: conda
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+  platform: osx-64
   dependencies:
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-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/click-plugins-1.1.1-py_0.tar.bz2
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-- name: cligj
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-    python: <4.0
-  url: https://conda.anaconda.org/conda-forge/noarch/cligj-0.7.2-pyhd8ed1ab_1.tar.bz2
+    python: '>=3.8'
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-- name: comm
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-  platform: linux-64
+  platform: win-64
   dependencies:
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-    traitlets: '>=5.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/comm-0.1.3-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: contourpy
-  version: 1.1.0
+- name: cytoolz
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   manager: conda
   platform: linux-64
   dependencies:
     libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
-    numpy: '>=1.16'
     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.1.0-py311h9547e67_0.conda
+    toolz: '>=0.10.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-0.12.3-py311h459d7ec_0.conda
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   category: main
   optional: false
-- name: curl
-  version: 8.1.2
+- name: cytoolz
+  version: 0.12.3
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    krb5: '>=1.20.1,<1.21.0a0'
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-    libgcc-ng: '>=12'
-    libssh2: '>=1.10.0,<2.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/curl-8.1.2-h409715c_0.conda
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+    toolz: '>=0.10.0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/cytoolz-0.12.3-py311he705e18_0.conda
   hash:
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   category: main
   optional: false
 - name: cytoolz
-  version: 0.12.0
+  version: 0.12.3
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    libgcc-ng: '>=12'
     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
     toolz: '>=0.10.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/cytoolz-0.12.0-py311hd4cff14_1.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/cytoolz-0.12.3-py311h05b510d_0.conda
   hash:
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+    sha256: 260980644b0ed686518437f9e86346b0798d7cab6a368a7ab61f085526ae5920
   category: main
   optional: false
-- name: fonttools
-  version: 4.40.0
+- name: cytoolz
+  version: 0.12.3
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    brotli: ''
-    libgcc-ng: '>=12'
-    munkres: ''
     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.40.0-py311h459d7ec_0.conda
+    toolz: '>=0.10.0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/cytoolz-0.12.3-py311ha68e1ae_0.conda
   hash:
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-    sha256: 6a167dddd138c2b271107f0bdda8f7eb635d04d356bd66da608bcf2210209509
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   category: main
   optional: false
-- name: gsw
-  version: 3.6.17
+- name: dask
+  version: 2024.2.0
   manager: conda
   platform: linux-64
   dependencies:
-    libgcc-ng: '>=12'
-    numpy: '>=1.23.5,<2.0a0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/gsw-3.6.17-py311h1f0f07a_0.conda
+    bokeh: '>=2.4.2,!=3.0.*'
+    cytoolz: '>=0.11.0'
+    dask-core: '>=2024.2.0,<2024.2.1.0a0'
+    distributed: '>=2024.2.0,<2024.2.1.0a0'
+    jinja2: '>=2.10.3'
+    lz4: '>=4.3.2'
+    numpy: '>=1.21'
+    pandas: '>=1.3'
+    pyarrow: '>=7.0'
+    pyarrow-hotfix: ''
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-2024.2.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: hdf5
-  version: 1.14.0
+- name: dask
+  version: 2024.2.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    libaec: '>=1.0.6,<2.0a0'
-    libcurl: '>=7.88.1,<9.0a0'
-    libgcc-ng: '>=12'
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-    openssl: '>=3.0.8,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.0-nompi_hb72d44e_103.conda
+    pyarrow-hotfix: ''
+    python: '>=3.9'
+    numpy: '>=1.21'
+    pandas: '>=1.3'
+    jinja2: '>=2.10.3'
+    pyarrow: '>=7.0'
+    lz4: '>=4.3.2'
+    bokeh: '>=2.4.2,!=3.0.*'
+    cytoolz: '>=0.11.0'
+    dask-core: '>=2024.2.0,<2024.2.1.0a0'
+    distributed: '>=2024.2.0,<2024.2.1.0a0'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-2024.2.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: importlib-metadata
-  version: 6.7.0
+- name: dask
+  version: 2024.2.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    python: '>=3.8'
-    zipp: '>=0.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-6.7.0-pyha770c72_0.conda
+    pyarrow-hotfix: ''
+    python: '>=3.9'
+    numpy: '>=1.21'
+    pandas: '>=1.3'
+    jinja2: '>=2.10.3'
+    pyarrow: '>=7.0'
+    lz4: '>=4.3.2'
+    bokeh: '>=2.4.2,!=3.0.*'
+    cytoolz: '>=0.11.0'
+    dask-core: '>=2024.2.0,<2024.2.1.0a0'
+    distributed: '>=2024.2.0,<2024.2.1.0a0'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-2024.2.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: importlib_resources
-  version: 5.12.0
+- name: dask
+  version: 2024.2.0
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    python: '>=3.7'
-    zipp: '>=3.1.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.12.0-pyhd8ed1ab_0.conda
+    pyarrow-hotfix: ''
+    python: '>=3.9'
+    numpy: '>=1.21'
+    pandas: '>=1.3'
+    jinja2: '>=2.10.3'
+    pyarrow: '>=7.0'
+    lz4: '>=4.3.2'
+    bokeh: '>=2.4.2,!=3.0.*'
+    cytoolz: '>=0.11.0'
+    dask-core: '>=2024.2.0,<2024.2.1.0a0'
+    distributed: '>=2024.2.0,<2024.2.1.0a0'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-2024.2.0-pyhd8ed1ab_0.conda
   hash:
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-    sha256: 091cca3e010f7a7353152f0abda2d68cfd83ddde80a15e974d9e18b2047e7be2
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   category: main
   optional: false
-- name: jedi
-  version: 0.18.2
+- name: dask-core
+  version: 2024.2.0
   manager: conda
   platform: linux-64
   dependencies:
-    parso: '>=0.8.0,<0.9.0'
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.2-pyhd8ed1ab_0.conda
+    click: '>=8.1'
+    cloudpickle: '>=1.5.0'
+    fsspec: '>=2021.09.0'
+    importlib_metadata: '>=4.13.0'
+    packaging: '>=20.0'
+    partd: '>=1.2.0'
+    python: '>=3.9'
+    pyyaml: '>=5.3.1'
+    toolz: '>=0.10.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.2.0-pyhd8ed1ab_0.conda
   hash:
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-    sha256: abe63ae6e1b13f83500608d94004cb8d485b264083511d77f79253e775cd546c
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   category: main
   optional: false
-- name: jinja2
-  version: 3.1.2
+- name: dask-core
+  version: 2024.2.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    markupsafe: '>=2.0'
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2
+    python: '>=3.9'
+    packaging: '>=20.0'
+    pyyaml: '>=5.3.1'
+    cloudpickle: '>=1.5.0'
+    toolz: '>=0.10.0'
+    partd: '>=1.2.0'
+    importlib_metadata: '>=4.13.0'
+    fsspec: '>=2021.09.0'
+    click: '>=8.1'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.2.0-pyhd8ed1ab_0.conda
   hash:
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-    sha256: b045faba7130ab263db6a8fdc96b1a3de5fcf85c4a607c5f11a49e76851500b5
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   category: main
   optional: false
-- name: jupyterlab_pygments
-  version: 0.2.2
+- name: dask-core
+  version: 2024.2.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    pygments: '>=2.4.1,<3'
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_pygments-0.2.2-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.9'
+    packaging: '>=20.0'
+    pyyaml: '>=5.3.1'
+    cloudpickle: '>=1.5.0'
+    toolz: '>=0.10.0'
+    partd: '>=1.2.0'
+    importlib_metadata: '>=4.13.0'
+    fsspec: '>=2021.09.0'
+    click: '>=8.1'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.2.0-pyhd8ed1ab_0.conda
   hash:
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-    sha256: 08453e09d5a6bbaeeca839553a5dfd7a377a97550efab96019c334a8042f54f5
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   category: main
   optional: false
-- name: latexcodec
-  version: 2.0.1
+- name: dask-core
+  version: 2024.2.0
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    python: ''
-    six: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/latexcodec-2.0.1-pyh9f0ad1d_0.tar.bz2
+    python: '>=3.9'
+    packaging: '>=20.0'
+    pyyaml: '>=5.3.1'
+    cloudpickle: '>=1.5.0'
+    toolz: '>=0.10.0'
+    partd: '>=1.2.0'
+    importlib_metadata: '>=4.13.0'
+    fsspec: '>=2021.09.0'
+    click: '>=8.1'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2024.2.0-pyhd8ed1ab_0.conda
   hash:
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-    sha256: 5210d31c8f2402dd1ad1b3edcf7a53292b9da5de20cd14d9c243dbf9278b1c4f
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   category: main
   optional: false
-- name: libgd
-  version: 2.3.3
+- name: dask-labextension
+  version: 7.0.0
   manager: conda
   platform: linux-64
   dependencies:
-    expat: '>=2.5.0,<3.0a0'
-    fontconfig: '>=2.14.2,<3.0a0'
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-    libwebp-base: '>=1.3.0,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    zlib: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgd-2.3.3-hfa28ad5_6.conda
+    bokeh: '>=1.0.0,!=2.0.0'
+    distributed: '>=1.24.1'
+    jupyter-server-proxy: '>=1.3.2'
+    jupyterlab: '>=4.0.0,<5'
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-labextension-7.0.0-pyhd8ed1ab_0.conda
   hash:
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+    sha256: bc30bf047145227c78e1082cc80d79a754f879eb74e664237dca1710ba727605
   category: main
   optional: false
-- name: libgoogle-cloud
-  version: 2.12.0
+- name: dask-labextension
+  version: 7.0.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    libabseil: '>=20230125.2,<20230126.0a0'
-    libcrc32c: '>=1.1.2,<1.2.0a0'
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-    openssl: '>=3.1.1,<4.0a0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/libgoogle-cloud-2.12.0-hac9eb74_0.conda
+    python: '>=3.8'
+    distributed: '>=1.24.1'
+    jupyter-server-proxy: '>=1.3.2'
+    bokeh: '>=1.0.0,!=2.0.0'
+    jupyterlab: '>=4.0.0,<5'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-labextension-7.0.0-pyhd8ed1ab_0.conda
   hash:
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+    sha256: bc30bf047145227c78e1082cc80d79a754f879eb74e664237dca1710ba727605
   category: main
   optional: false
-- name: linkify-it-py
-  version: 2.0.0
+- name: dask-labextension
+  version: 7.0.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    python: '>=3.6'
-    uc-micro-py: '>=1.0.1,<2.0.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/linkify-it-py-2.0.0-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.8'
+    distributed: '>=1.24.1'
+    jupyter-server-proxy: '>=1.3.2'
+    bokeh: '>=1.0.0,!=2.0.0'
+    jupyterlab: '>=4.0.0,<5'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-labextension-7.0.0-pyhd8ed1ab_0.conda
   hash:
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+    sha256: bc30bf047145227c78e1082cc80d79a754f879eb74e664237dca1710ba727605
   category: main
   optional: false
-- name: markdown-it-py
-  version: 2.2.0
+- name: dask-labextension
+  version: 7.0.0
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    mdurl: '>=0.1,<1'
-    python: '>=3.7'
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-  url: https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-2.2.0-pyhd8ed1ab_0.conda
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/multipledispatch-0.6.0-py_0.tar.bz2
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-- name: nodeenv
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   manager: conda
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   manager: conda
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+  platform: win-64
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   dependencies:
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-- name: pint
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-- name: postgresql
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   manager: conda
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-- name: pyasn1-modules
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-- name: pyct-core
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-- name: pyu2f
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-- name: pyviz_comms
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-- name: rfc3339-validator
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   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    six: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
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   optional: false
-- name: rsa
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   manager: conda
   platform: linux-64
   dependencies:
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-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/rsa-4.9-pyhd8ed1ab_0.tar.bz2
+    python: 2.7|>=3.6
+  url: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
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-- name: shapely
-  version: 2.0.1
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   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.1-py311h54d622a_1.conda
+    python: 2.7|>=3.6
+  url: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
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-- name: snuggs
-  version: 1.4.7
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   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
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-    pyparsing: '>=2.1.6'
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/snuggs-1.4.7-py_0.tar.bz2
+    python: 2.7|>=3.6
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-- name: terminado
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   manager: conda
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+  platform: win-64
   dependencies:
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-    python: '>=3.7'
-    tornado: '>=6.1.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.1-pyh41d4057_0.conda
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+  url: https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.8-pyhd8ed1ab_0.conda
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   optional: false
-- name: tinycss2
-  version: 1.2.1
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   manager: conda
   platform: linux-64
   dependencies:
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-    webencodings: '>=0.4'
-  url: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.2.1-pyhd8ed1ab_0.tar.bz2
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+    zict: '>=3.0.0'
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-- name: tqdm
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   manager: conda
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+  platform: osx-64
   dependencies:
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-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/tqdm-4.65.0-pyhd8ed1ab_1.conda
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+    dask-core: '>=2024.2.0,<2024.2.1.0a0'
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-- name: typing-extensions
-  version: 4.6.3
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.6.3-hd8ed1ab_0.conda
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+    zict: '>=3.0.0'
+    dask-core: '>=2024.2.0,<2024.2.1.0a0'
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-- name: xerces-c
-  version: 3.2.4
+- name: distributed
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   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    libstdcxx-ng: '>=12'
-  url: https://conda.anaconda.org/conda-forge/linux-64/xerces-c-3.2.4-h8d71039_2.conda
+    python: '>=3.9'
+    packaging: '>=20.0'
+    pyyaml: '>=5.3.1'
+    cloudpickle: '>=1.5.0'
+    click: '>=8.0'
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+    psutil: '>=5.7.2'
+    zict: '>=3.0.0'
+    dask-core: '>=2024.2.0,<2024.2.1.0a0'
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-- name: yarl
-  version: 1.9.2
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   manager: conda
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   dependencies:
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-    libgcc-ng: '>=12'
-    multidict: '>=4.0'
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-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.9.2-py311h459d7ec_0.conda
+    python: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/docopt-0.6.2-py_1.tar.bz2
   hash:
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   optional: false
-- name: aiosqlite
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+- name: docopt
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   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    typing-extensions: '>=3.7.2'
-  url: https://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.19.0-pyhd8ed1ab_0.conda
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   hash:
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   optional: false
-- name: argon2-cffi-bindings
-  version: 21.2.0
+- name: docopt
+  version: 0.6.2
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
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-    libgcc-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py311hd4cff14_3.tar.bz2
+    python: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/docopt-0.6.2-py_1.tar.bz2
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   category: main
   optional: false
-- name: async-timeout
-  version: 4.0.2
+- name: docopt
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   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    typing-extensions: '>=3.6.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/async-timeout-4.0.2-pyhd8ed1ab_0.tar.bz2
+    python: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/docopt-0.6.2-py_1.tar.bz2
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   optional: false
-- name: aws-c-s3
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.3.4-h95e21fb_5.conda
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/docutils-0.17.1-py311h38be061_4.conda
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-- name: brotlipy
-  version: 0.7.0
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   manager: conda
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+  platform: osx-64
   dependencies:
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-    libgcc-ng: '>=12'
     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/brotlipy-0.7.0-py311hd4cff14_1005.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/osx-64/docutils-0.17.1-py311h6eed73b_4.conda
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-- name: cryptography
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/linux-64/cryptography-41.0.1-py311h63ff55d_0.conda
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-- name: datashape
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   manager: conda
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+  platform: win-64
   dependencies:
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-    numpy: '>=1.7'
-    python: ''
-    python-dateutil: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/datashape-0.5.4-py_1.tar.bz2
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/win-64/docutils-0.17.1-py311h1ea47a8_4.conda
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   optional: false
-- name: geotiff
-  version: 1.7.1
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/geotiff-1.7.1-h22adcc9_9.conda
+    python: '>=3.6'
+  url: https://conda.anaconda.org/conda-forge/noarch/entrypoints-0.4-pyhd8ed1ab_0.tar.bz2
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-- name: google-crc32c
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   manager: conda
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-- name: googleapis-common-protos
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   manager: conda
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-- name: importlib_metadata
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-- name: jsonschema
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   manager: conda
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-- name: jupyter_server_terminals
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+  platform: osx-arm64
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-- name: kealib
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+  platform: win-64
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-- name: libnetcdf
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-- name: libspatialite
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   manager: conda
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libspatialite-5.0.1-hca56755_27.conda
+    python: '>=2.7'
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-- name: markdown
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   manager: conda
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   dependencies:
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-    python: '>=3.6'
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+    python: '>=2.7'
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-- name: matplotlib-base
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   manager: conda
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+  platform: win-64
   dependencies:
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+    python: '>=2.7'
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-- name: mdit-py-plugins
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-- name: pandas
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+  platform: osx-64
   dependencies:
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-- name: platformdirs
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   manager: conda
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   dependencies:
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-- name: poppler
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-- name: pybtex
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   manager: conda
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-- name: pyproj
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   manager: conda
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   dependencies:
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+    python: '>=3.6'
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-- name: sqlalchemy
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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+    python: '>=3.6'
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-- name: stack_data
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   manager: conda
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-- name: tiledb
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   manager: conda
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-- name: ukkonen
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/ukkonen-1.0.1-py311h4dd048b_3.tar.bz2
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-- name: wcwidth
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   manager: conda
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   dependencies:
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-- name: zarr
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   manager: conda
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   dependencies:
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-- name: aiohttp
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   manager: conda
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-- name: argon2-cffi
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   manager: conda
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-- name: aws-crt-cpp
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   manager: conda
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-- name: bokeh
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   manager: conda
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+  platform: win-64
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+  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
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-- name: dask-core
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   manager: conda
   platform: linux-64
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   manager: conda
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-  url: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.24-pyhd8ed1ab_0.conda
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-- name: jupyter_events
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   manager: conda
   platform: linux-64
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-- name: jupyter_ydoc
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   manager: conda
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   manager: conda
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-- name: netcdf4
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   manager: conda
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   optional: false
-- name: oauthlib
-  version: 3.2.2
+- name: font-ttf-ubuntu
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   manager: conda
   platform: linux-64
-  dependencies:
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-    cryptography: ''
-    pyjwt: '>=1.0.0'
-    python: '>=3.6'
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-- name: pango
-  version: 1.50.14
+- name: font-ttf-ubuntu
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   manager: conda
-  platform: linux-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/pango-1.50.14-heaa33ce_1.conda
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-- name: prompt-toolkit
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+- name: font-ttf-ubuntu
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   manager: conda
-  platform: linux-64
-  dependencies:
-    python: '>=3.7'
-    wcwidth: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.38-pyha770c72_0.conda
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-- name: pybtex-docutils
-  version: 1.0.2
+- name: font-ttf-ubuntu
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   manager: conda
-  platform: linux-64
-  dependencies:
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-    pybtex: '>=0.16'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/pybtex-docutils-1.0.2-py311h38be061_2.tar.bz2
+  platform: win-64
+  dependencies: {}
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-- name: pyopenssl
-  version: 23.2.0
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   manager: conda
   platform: linux-64
   dependencies:
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-    python: '>=3.6'
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-- name: virtualenv
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   manager: conda
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+  platform: osx-64
   dependencies:
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-    filelock: <4,>=3.12
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-    python: '>=3.8'
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+    libzlib: '>=1.2.13,<1.3.0a0'
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-- name: xarray
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-    packaging: '>=21.3'
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-    python: '>=3.9'
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-- name: ypy-websocket
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   manager: conda
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+  platform: win-64
   dependencies:
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-    y-py: '>=0.5.3,<0.6.0'
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-- name: aws-sdk-cpp
-  version: 1.10.57
+- name: fonts-conda-ecosystem
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/aws-sdk-cpp-1.10.57-h8101662_14.conda
+    fonts-conda-forge: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
   hash:
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-- name: cf_xarray
-  version: 0.8.2
+- name: fonts-conda-ecosystem
+  version: '1'
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    xarray: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/cf_xarray-0.8.2-pyhd8ed1ab_0.conda
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   hash:
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-- name: gtk2
-  version: 2.24.33
+- name: fonts-conda-ecosystem
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   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h90689f9_2.tar.bz2
+    fonts-conda-forge: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
   hash:
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-- name: jupyter_client
-  version: 8.3.0
+- name: fonts-conda-ecosystem
+  version: '1'
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    python: '>=3.8'
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.3.0-pyhd8ed1ab_0.conda
+    fonts-conda-forge: ''
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   hash:
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-- name: librsvg
-  version: 2.56.1
+- name: fonts-conda-forge
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   manager: conda
   platform: linux-64
   dependencies:
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-    gdk-pixbuf: '>=2.42.10,<3.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.56.1-h98fae49_0.conda
+    font-ttf-dejavu-sans-mono: ''
+    font-ttf-inconsolata: ''
+    font-ttf-source-code-pro: ''
+    font-ttf-ubuntu: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
   hash:
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   optional: false
-- name: nbformat
-  version: 5.9.0
+- name: fonts-conda-forge
+  version: '1'
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    jupyter_core: ''
-    python: '>=3.8'
-    python-fastjsonschema: ''
-    traitlets: '>=5.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.9.0-pyhd8ed1ab_0.conda
+    font-ttf-inconsolata: ''
+    font-ttf-source-code-pro: ''
+    font-ttf-ubuntu: ''
+    font-ttf-dejavu-sans-mono: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
   hash:
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   optional: false
-- name: pint-xarray
-  version: '0.3'
+- name: fonts-conda-forge
+  version: '1'
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
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-    pint: '>=0.16'
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-    xarray: '>=0.16.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/pint-xarray-0.3-pyhd8ed1ab_0.tar.bz2
+    font-ttf-inconsolata: ''
+    font-ttf-source-code-pro: ''
+    font-ttf-ubuntu: ''
+    font-ttf-dejavu-sans-mono: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: pre-commit
-  version: 3.3.3
+- name: fonts-conda-forge
+  version: '1'
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    identify: '>=1.0.0'
-    nodeenv: '>=0.11.1'
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-    virtualenv: '>=20.10.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.3.3-pyha770c72_0.conda
+    font-ttf-inconsolata: ''
+    font-ttf-source-code-pro: ''
+    font-ttf-ubuntu: ''
+    font-ttf-dejavu-sans-mono: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
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   optional: false
-- name: prompt_toolkit
-  version: 3.0.38
+- name: fonttools
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/prompt_toolkit-3.0.38-hd8ed1ab_0.conda
+    brotli: ''
+    libgcc-ng: '>=12'
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+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.49.0-py311h459d7ec_0.conda
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   optional: false
-- name: rasterio
-  version: 1.3.7
+- name: fonttools
+  version: 4.49.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    attrs: ''
-    certifi: ''
-    click: '>=4'
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-    cligj: '>=0.5'
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-    proj: '>=9.2.1,<9.2.2.0a0'
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     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
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-  url: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.3.7-py311h41e4db2_2.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/fonttools-4.49.0-py311he705e18_0.conda
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   category: main
   optional: false
-- name: urllib3
-  version: 1.26.15
+- name: fonttools
+  version: 4.48.1
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
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-    idna: '>=2.0.0'
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-    python: <4.0
-  url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.15-pyhd8ed1ab_0.conda
+    brotli: ''
+    munkres: ''
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/fonttools-4.48.1-py311h05b510d_0.conda
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   category: main
   optional: false
-- name: distributed
-  version: 2023.6.1
+- name: fonttools
+  version: 4.49.0
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    cloudpickle: '>=1.5.0'
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-    zict: '>=2.2.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.6.1-pyhd8ed1ab_0.conda
+    brotli: ''
+    munkres: ''
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/fonttools-4.49.0-py311ha68e1ae_0.conda
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   category: main
   optional: false
-- name: graphviz
-  version: 8.0.5
+- name: fqdn
+  version: 1.5.1
   manager: conda
   platform: linux-64
   dependencies:
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-    expat: ''
-    fontconfig: '>=2.14.2,<3.0a0'
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-    zlib: ''
-  url: https://conda.anaconda.org/conda-forge/linux-64/graphviz-8.0.5-h28d9a01_0.conda
+    cached-property: '>=1.3.0'
+    python: '>=2.7,<4'
+  url: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: ipython
-  version: 8.14.0
+- name: fqdn
+  version: 1.5.1
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    __linux: ''
-    backcall: ''
-    decorator: ''
-    jedi: '>=0.16'
-    matplotlib-inline: ''
-    pexpect: '>4.3'
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-    typing_extensions: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.14.0-pyh41d4057_0.conda
+    cached-property: '>=1.3.0'
+    python: '>=2.7,<4'
+  url: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
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   category: main
   optional: false
-- name: libarrow
-  version: 12.0.0
+- name: fqdn
+  version: 1.5.1
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-12.0.0-hc410076_9_cpu.conda
+    cached-property: '>=1.3.0'
+    python: '>=2.7,<4'
+  url: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: nbclient
-  version: 0.7.4
+- name: fqdn
+  version: 1.5.1
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.4-pyhd8ed1ab_0.conda
+    cached-property: '>=1.3.0'
+    python: '>=2.7,<4'
+  url: https://conda.anaconda.org/conda-forge/noarch/fqdn-1.5.1-pyhd8ed1ab_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: requests
-  version: 2.31.0
+- name: freetype
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   manager: conda
   platform: linux-64
   dependencies:
-    certifi: '>=2017.4.17'
-    charset-normalizer: '>=2,<4'
-    idna: '>=2.5,<4'
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-  url: https://conda.anaconda.org/conda-forge/noarch/requests-2.31.0-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+    libpng: '>=1.6.39,<1.7.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/freetype-2.12.1-h267a509_2.conda
   hash:
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   category: main
   optional: false
-- name: google-auth
-  version: 2.21.0
+- name: freetype
+  version: 2.12.1
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    cachetools: '>=2.0.0,<6.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.21.0-pyh1a96a4e_0.conda
+    libpng: '>=1.6.39,<1.7.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/freetype-2.12.1-h60636b9_2.conda
   hash:
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   category: main
   optional: false
-- name: ipykernel
-  version: 6.23.3
+- name: freetype
+  version: 2.12.1
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    __linux: ''
-    comm: '>=0.1.1'
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-    psutil: ''
-    python: '>=3.8'
-    pyzmq: '>=20'
-    tornado: '>=6.1'
-    traitlets: '>=5.4.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.23.3-pyh71e2992_0.conda
+    libpng: '>=1.6.39,<1.7.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/freetype-2.12.1-hadb7bae_2.conda
   hash:
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   category: main
   optional: false
-- name: jupyter-cache
-  version: 0.6.1
+- name: freetype
+  version: 2.12.1
+  manager: conda
+  platform: win-64
+  dependencies:
+    libpng: '>=1.6.39,<1.7.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/freetype-2.12.1-hdaf720e_2.conda
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+    sha256: 2c53ee8879e05e149a9e525481d36adfd660a6abda26fd731376fa64ff03e728
+  category: main
+  optional: false
+- name: freexl
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   manager: conda
   platform: linux-64
   dependencies:
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-    click: ''
-    importlib-metadata: ''
-    nbclient: '>=0.2,<0.8'
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-    python: '>=3.8'
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter-cache-0.6.1-pyhd8ed1ab_0.conda
+    libexpat: '>=2.5.0,<3.0a0'
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+    minizip: '>=4.0.1,<5.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/freexl-2.0.0-h743c826_0.conda
   hash:
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   category: main
   optional: false
-- name: nbconvert-core
-  version: 7.6.0
+- name: freexl
+  version: 2.0.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    beautifulsoup4: ''
-    bleach: ''
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-    entrypoints: '>=0.2.2'
-    jinja2: '>=3.0'
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-    python: '>=3.7'
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-    traitlets: '>=5.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.6.0-pyhd8ed1ab_0.conda
+    libexpat: '>=2.5.0,<3.0a0'
+    libiconv: '>=1.17,<2.0a0'
+    minizip: '>=4.0.1,<5.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/freexl-2.0.0-h3ec172f_0.conda
   hash:
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   category: main
   optional: false
-- name: panel
-  version: 1.1.1
+- name: freexl
+  version: 2.0.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    bleach: ''
-    bokeh: '>=3.1.1,<3.2'
-    linkify-it-py: ''
-    markdown: ''
-    markdown-it-py: <3
-    mdit-py-plugins: ''
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-    param: '>=1.12.0,<3'
-    python: '>=3.8'
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-    typing_extensions: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/panel-1.1.1-pyhd8ed1ab_0.conda
+    libexpat: '>=2.5.0,<3.0a0'
+    libiconv: '>=1.17,<2.0a0'
+    minizip: '>=4.0.1,<5.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/freexl-2.0.0-hfbad9fb_0.conda
   hash:
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   category: main
   optional: false
-- name: pooch
-  version: 1.7.0
+- name: freexl
+  version: 2.0.0
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    packaging: '>=20.0'
-    platformdirs: '>=2.5.0'
-    python: '>=3.7'
-    requests: '>=2.19.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pooch-1.7.0-pyha770c72_3.conda
+    libexpat: '>=2.5.0,<3.0a0'
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+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/freexl-2.0.0-h8276f4a_0.conda
   hash:
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   category: main
   optional: false
-- name: pyarrow
-  version: 12.0.0
+- name: fribidi
+  version: 1.0.10
   manager: conda
   platform: linux-64
   dependencies:
-    libarrow: 12.0.0
-    libgcc-ng: '>=12'
-    libstdcxx-ng: '>=12'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/pyarrow-12.0.0-py311h39c9aba_9_cpu.conda
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-- name: pyct
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+- name: fribidi
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   manager: conda
-  platform: linux-64
-  dependencies:
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-    python: ''
-    pyyaml: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/pyct-0.4.6-py_0.tar.bz2
+  platform: osx-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-64/fribidi-1.0.10-hbcb3906_0.tar.bz2
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-- name: pydap
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   manager: conda
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-    docopt: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/pydap-3.4.0-pyhd8ed1ab_0.conda
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+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/fribidi-1.0.10-h27ca646_0.tar.bz2
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-- name: python-graphviz
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   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-    python: '>=3'
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-- name: requests-oauthlib
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   manager: conda
   platform: linux-64
   dependencies:
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-    python: '>=3.4'
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+    libgcc-ng: '>=12'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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-- name: sphinx
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-4.5.0-pyh6c4a22f_0.tar.bz2
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/osx-64/frozenlist-1.4.1-py311he705e18_0.conda
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-- name: colorcet
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+- name: frozenlist
+  version: 1.4.1
   manager: conda
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+  platform: osx-arm64
   dependencies:
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-    python: '>=2.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/colorcet-3.0.1-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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-- name: dask
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   manager: conda
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+  platform: win-64
   dependencies:
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-    python: '>=3.9'
-  url: https://conda.anaconda.org/conda-forge/noarch/dask-2023.6.1-pyhd8ed1ab_0.conda
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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+  url: https://conda.anaconda.org/conda-forge/win-64/frozenlist-1.4.1-py311ha68e1ae_0.conda
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-- name: google-api-core
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.11.1-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.2.0-pyhca7485f_0.conda
   hash:
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-- name: google-auth-oauthlib
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   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
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-    google-auth: '>=1.0.0'
-    python: '>=3.6'
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-  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-1.0.0-pyhd8ed1ab_0.conda
+    python: '>=3.8'
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   hash:
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-- name: jupyter_server
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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     python: '>=3.8'
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.6.0-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.2.0-pyhca7485f_0.conda
   hash:
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-- name: myst-parser
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   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/myst-parser-0.18.1-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.2.0-pyhca7485f_0.conda
   hash:
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-- name: nbconvert-pandoc
-  version: 7.6.0
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   manager: conda
   platform: linux-64
   dependencies:
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-    pandoc: ''
+    aiohttp: ''
+    decorator: '>4.1.2'
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+    google-auth: '>=1.2'
+    google-auth-oauthlib: ''
+    google-cloud-storage: '>1.40'
     python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.6.0-pyhd8ed1ab_0.conda
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-- name: pydata-sphinx-theme
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   manager: conda
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+  platform: osx-64
   dependencies:
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-    babel: ''
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     python: '>=3.7'
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+    google-auth: '>=1.2'
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+    google-cloud-storage: '>1.40'
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-- name: scipy
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   manager: conda
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-  url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.11.0-py311h64a7726_0.conda
+    requests: ''
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+    google-auth-oauthlib: ''
+    python: '>=3.7'
+    google-auth: '>=1.2'
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+    google-cloud-storage: '>1.40'
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-- name: sphinx-codeautolink
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   manager: conda
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+  platform: win-64
   dependencies:
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+    google-auth: '>=1.2'
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+    google-cloud-storage: '>1.40'
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-- name: sphinx-comments
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   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-comments-0.0.3-pyh9f0ad1d_0.tar.bz2
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-- name: sphinx-copybutton
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   dependencies:
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-- name: sphinx-design
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-- name: sphinx-external-toc
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-- name: sphinx-jupyterbook-latex
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+  platform: osx-64
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-- name: sphinx-multitoc-numbering
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   manager: conda
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-- name: sphinx-notfound-page
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+  platform: win-64
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-- name: sphinx-thebe
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-- name: sphinx-togglebutton
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-- name: sphinxcontrib-bibtex
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-- name: sphinxext-rediraffe
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: cartopy
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   platform: linux-64
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-  url: https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.21.1-py311hd88b842_1.conda
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-- name: datashader
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   manager: conda
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+  platform: osx-64
   dependencies:
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-- name: google-cloud-core
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-- name: holoviews
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-- name: jupyter-lsp
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   manager: conda
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-- name: jupyter-resource-usage
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   manager: conda
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+  platform: win-64
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-- name: jupyter-server-proxy
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-- name: jupyter_server_fileid
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   optional: false
-- name: jupyterlab_server
-  version: 2.23.0
+- name: gettext
+  version: 0.21.1
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    babel: '>=2.10'
-    importlib-metadata: '>=4.8.3'
-    jinja2: '>=3.0.3'
-    json5: '>=0.9.0'
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-    packaging: '>=21.3'
-    python: '>=3.7'
-    requests: '>=2.28'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.23.0-pyhd8ed1ab_0.conda
+    libiconv: '>=1.17,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/gettext-0.21.1-h0186832_0.tar.bz2
   hash:
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-    sha256: 4f19476ef5d4cc712bc0323f36fb06ef5b1a24abcaec4fd87e5efc12ef9d6073
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+    sha256: 093b2f96dc4b48e4952ab8946facec98b34b708a056251fc19c23c3aad30039e
   category: main
   optional: false
-- name: myst-nb
-  version: 0.17.2
+- name: gettext
+  version: 0.21.1
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    importlib-metadata: ''
-    ipykernel: ''
-    ipython: ''
-    jupyter-cache: '>=0.5.0,<0.7.0'
-    myst-parser: '>=0.18.0,<0.19.0'
-    nbclient: ''
-    nbformat: '>=5.0,<6'
-    python: '>=3.7'
-    pyyaml: ''
-    sphinx: '>=4,<6'
-    typing_extensions: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/myst-nb-0.17.2-pyhd8ed1ab_0.conda
+    libiconv: '>=1.17,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/win-64/gettext-0.21.1-h5728263_0.tar.bz2
   hash:
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-    sha256: 37bcf6de8618a0668ef6b364b14e0eceea87b202a3882c59dcd85bc1172a5402
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+    sha256: 71c75b0a4dc2cf95d2860ea0076edf9f5558baeb4dacaeecb32643b199074616
   category: main
   optional: false
-- name: nbconvert
-  version: 7.6.0
+- name: gflags
+  version: 2.2.2
   manager: conda
   platform: linux-64
   dependencies:
-    nbconvert-core: 7.6.0
-    nbconvert-pandoc: 7.6.0
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.6.0-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=7.5.0'
+    libstdcxx-ng: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-he1b5a44_1004.tar.bz2
   hash:
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-    sha256: c4fa59b7a23456c7488863b9521bfca2a62ed5061150402b7f66c6c8b3b332ea
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+    sha256: a853c0cacf53cfc59e1bca8d6e5cdfe9f38fce836f08c2a69e35429c2a492e77
   category: main
   optional: false
-- name: notebook-shim
-  version: 0.2.3
+- name: gflags
+  version: 2.2.2
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    jupyter_server: '>=1.8,<3'
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.3-pyhd8ed1ab_0.conda
+    libcxx: '>=10.0.1'
+  url: https://conda.anaconda.org/conda-forge/osx-64/gflags-2.2.2-hb1e8313_1004.tar.bz2
   hash:
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-    sha256: f028d7ad1f2175cde307db08b60d07e371b9d6f035cfae6c81ea94b4c408c538
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+    sha256: 39540f879057ae529cad131644af111a8c3c48b384ec6212de6a5381e0863948
   category: main
   optional: false
-- name: rioxarray
-  version: 0.14.1
+- name: gflags
+  version: 2.2.2
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    numpy: '>=1.21'
-    packaging: ''
-    pyproj: '>=2.2'
-    python: '>=3.9'
-    rasterio: '>=1.2'
-    scipy: ''
-    xarray: '>=0.17'
-  url: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.14.1-pyhd8ed1ab_0.conda
+    libcxx: '>=11.0.0.rc1'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/gflags-2.2.2-hc88da5d_1004.tar.bz2
   hash:
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-    sha256: b2b72317f24af0a3263ac95026d6c9c4f47771363e8ff2cc40150c2902a407eb
+    md5: aab9ddfad863e9ef81229a1f8852211b
+    sha256: 25d4a20af2e5ace95fdec88970f6d190e77e20074d2f6d3cef766198b76a4289
   category: main
   optional: false
-- name: sphinx-book-theme
-  version: 1.0.1
+- name: giflib
+  version: 5.2.1
   manager: conda
   platform: linux-64
   dependencies:
-    pydata-sphinx-theme: '>=0.13.3'
-    python: '>=3.7'
-    sphinx: '>=4,<7'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-book-theme-1.0.1-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/giflib-5.2.1-h0b41bf4_3.conda
   hash:
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-    sha256: bbd622f59265f80a320afa7cd71d7d95b91ff009796481a7d0875b25c0d079c0
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+    sha256: 41ec165704ccce2faa0437f4f53c03c06261a2cc9ff7614828e51427d9261f4b
   category: main
   optional: false
-- name: geoviews-core
-  version: 1.10.0
+- name: giflib
+  version: 5.2.1
+  manager: conda
+  platform: osx-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-64/giflib-5.2.1-hb7f2c08_3.conda
+  hash:
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+    sha256: 47515e0874bcf67e438e1d5d093b074c1781f055067195f0d00a7790a56d446d
+  category: main
+  optional: false
+- name: giflib
+  version: 5.2.1
+  manager: conda
+  platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/giflib-5.2.1-h1a8c8d9_3.conda
+  hash:
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+    sha256: dbf1e431d3e5e03f8eeb77ec08a4c5d6d5d9af84dbef13d4365e397dd389beb8
+  category: main
+  optional: false
+- name: glog
+  version: 0.6.0
   manager: conda
   platform: linux-64
   dependencies:
-    bokeh: '>=3.1.0,<3.2.0'
-    cartopy: '>=0.18.0'
-    holoviews: '>=1.16.0'
-    numpy: '>=1.0'
-    packaging: ''
-    panel: '>=1.0.0'
-    param: '>=1.9.3'
-    pyproj: ''
-    python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/geoviews-core-1.10.0-pyha770c72_0.conda
+    gflags: '>=2.2.2,<2.3.0a0'
+    libgcc-ng: '>=10.3.0'
+    libstdcxx-ng: '>=10.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/glog-0.6.0-h6f12383_0.tar.bz2
   hash:
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-    sha256: bfdd133933c305ca53f93545af4c5942d855bc4198b3cd5d78707991a83d27b9
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+    sha256: 888cbcfb67f6e3d88a4c4ab9d26c9a406f620c4101a35dc6d2dbadb95f2221d4
   category: main
   optional: false
-- name: google-cloud-storage
-  version: 2.9.0
+- name: glog
+  version: 0.6.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    google-api-core: '>=1.31.5,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
-    google-auth: '>=1.25.0,<3.0dev'
-    google-cloud-core: '>=2.3.0,<3.0dev'
-    google-resumable-media: '>=2.3.2'
-    protobuf: <5.0.0dev
-    python: '>=3.6'
-    requests: '>=2.18.0,<3.0.0dev'
-  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-2.9.0-pyh1a96a4e_0.conda
+    gflags: '>=2.2.2,<2.3.0a0'
+    libcxx: '>=12.0.1'
+  url: https://conda.anaconda.org/conda-forge/osx-64/glog-0.6.0-h8ac2a54_0.tar.bz2
   hash:
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-    sha256: d9c0bea3d55741f34ee70f09ea84d6ece6dee93e9112b516ed526c9f47043a62
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+    sha256: fdb38560094fb4a952346dc72a79b3cb09e23e4d0cae9ba4f524e6e88203d3c8
   category: main
   optional: false
-- name: hvplot
-  version: 0.8.4
+- name: glog
+  version: 0.6.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    bokeh: '>=1.0.0'
-    colorcet: '>=2'
-    holoviews: '>=1.11.0'
-    numpy: '>=1.15'
-    packaging: ''
-    pandas: ''
-    panel: '>=0.11.0'
-    param: '>=1.9.0'
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/hvplot-0.8.4-pyhd8ed1ab_1.conda
+    gflags: '>=2.2.2,<2.3.0a0'
+    libcxx: '>=12.0.1'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/glog-0.6.0-h6da1cb0_0.tar.bz2
   hash:
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-    sha256: 8e4f6a1d12b5c0fa1d4f655015b24b71074cd90cc4d6c7eb59331dacd32e2c4f
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+    sha256: 4d772c42477f64be708594ac45870feba3e838977871118eb25e00deb0e9a73c
   category: main
   optional: false
-- name: jupyter-book
-  version: 0.15.1
+- name: google-api-core
+  version: 2.17.1
   manager: conda
   platform: linux-64
   dependencies:
-    click: '>=7.1,<9'
-    docutils: '>=0.15,<0.19'
-    jinja2: ''
-    jsonschema: <5
-    linkify-it-py: '>=2.0.0,<2.1.0'
-    myst-nb: '>=0.17.1,<0.18.0'
+    google-auth: '>=2.14.1,<3.0.dev0'
+    googleapis-common-protos: '>=1.56.2,<2.0.dev0'
+    protobuf: '>=3.19.5,<5.0.0.dev0,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5'
     python: '>=3.7'
-    pyyaml: ''
-    sphinx: '>=4,<6'
-    sphinx-book-theme: '>=1.0.0,<1.1.0'
-    sphinx-comments: ''
-    sphinx-copybutton: ''
-    sphinx-design: '>=0.3.0,<0.4.0'
-    sphinx-external-toc: '>=0.3.1,<0.4.0'
-    sphinx-jupyterbook-latex: '>=0.5.2,<0.6.0'
-    sphinx-multitoc-numbering: '>=0.1.3,<0.2.0'
-    sphinx-thebe: '>=0.2.0,<0.3.0'
-    sphinx-togglebutton: ''
-    sphinxcontrib-bibtex: '>=2.2.0,<=2.5.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter-book-0.15.1-pyhd8ed1ab_0.conda
+    requests: '>=2.18.0,<3.0.0.dev0'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.17.1-pyhd8ed1ab_0.conda
   hash:
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-    sha256: b50732cd6ab656781f13aa43b8ce420266508235a1fb4ec7d49ca677dbe2a3d0
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   category: main
   optional: false
-- name: jupyter_server_ydoc
-  version: 0.8.0
+- name: google-api-core
+  version: 2.17.1
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    jupyter_server_fileid: '>=0.6.0,<1'
-    jupyter_ydoc: '>=0.2.0,<0.4.0'
     python: '>=3.7'
-    ypy-websocket: '>=0.8.2,<0.9.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_ydoc-0.8.0-pyhd8ed1ab_0.conda
+    google-auth: '>=2.14.1,<3.0.dev0'
+    googleapis-common-protos: '>=1.56.2,<2.0.dev0'
+    protobuf: '>=3.19.5,<5.0.0.dev0,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5'
+    requests: '>=2.18.0,<3.0.0.dev0'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.17.1-pyhd8ed1ab_0.conda
   hash:
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-    sha256: 13dff47cd1ecd3337271f16e65d1376e148f8d18c4cbb87e4aab603d5be628c9
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+    sha256: a92bf55d70fe4868c7c50163ed876939028ba3a2b513c5742282d8fc12a61074
   category: main
   optional: false
-- name: jupyterlab
-  version: 4.0.2
+- name: google-api-core
+  version: 2.17.1
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    async-lru: '>=1.0.0'
-    importlib_metadata: '>=4.8.3'
-    importlib_resources: '>=1.4'
-    ipykernel: ''
-    jinja2: '>=3.0.3'
-    jupyter-lsp: '>=2.0.0'
-    jupyter_core: ''
-    jupyter_server: '>=2.4.0,<3'
-    jupyterlab_server: '>=2.19.0,<3'
-    notebook-shim: '>=0.2'
-    packaging: ''
-    python: '>=3.8'
-    tomli: ''
-    tornado: '>=6.2.0'
-    traitlets: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.2-pyhd8ed1ab_0.conda
+    python: '>=3.7'
+    google-auth: '>=2.14.1,<3.0.dev0'
+    googleapis-common-protos: '>=1.56.2,<2.0.dev0'
+    protobuf: '>=3.19.5,<5.0.0.dev0,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5'
+    requests: '>=2.18.0,<3.0.0.dev0'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.17.1-pyhd8ed1ab_0.conda
   hash:
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-    sha256: 6ba8561371b50500981ee6a6092d98b02b410a2fa23f7024dde5175cf9ce3639
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+    sha256: a92bf55d70fe4868c7c50163ed876939028ba3a2b513c5742282d8fc12a61074
   category: main
   optional: false
-- name: nbclassic
-  version: 1.0.0
+- name: google-api-core
+  version: 2.17.1
   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    argon2-cffi: ''
-    ipykernel: ''
-    ipython_genutils: ''
-    jinja2: ''
-    jupyter_client: '>=6.1.1'
-    jupyter_core: '>=4.6.1'
-    jupyter_server: '>=1.8'
-    nbconvert: '>=5'
-    nbformat: ''
-    nest-asyncio: '>=1.5'
-    notebook-shim: '>=0.2.3'
-    prometheus_client: ''
     python: '>=3.7'
-    pyzmq: '>=17'
-    send2trash: '>=1.8.0'
-    terminado: '>=0.8.3'
-    tornado: '>=6.1'
-    traitlets: '>=4.2.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-1.0.0-pyhb4ecaf3_1.conda
+    google-auth: '>=2.14.1,<3.0.dev0'
+    googleapis-common-protos: '>=1.56.2,<2.0.dev0'
+    protobuf: '>=3.19.5,<5.0.0.dev0,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5'
+    requests: '>=2.18.0,<3.0.0.dev0'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.17.1-pyhd8ed1ab_0.conda
   hash:
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-    sha256: fc2b2e606ccbd0aaa2cdecdd33fc39e2c4bd7b5b96a64b89b3e6ad9ce20eec2f
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+    sha256: a92bf55d70fe4868c7c50163ed876939028ba3a2b513c5742282d8fc12a61074
   category: main
   optional: false
-- name: sphinx-exercise
-  version: 0.4.0
+- name: google-auth
+  version: 2.28.0
   manager: conda
   platform: linux-64
   dependencies:
-    docutils: '>=0.15'
-    python: '>=3.6'
-    sphinx: '>=3.0'
-    sphinx-book-theme: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-exercise-0.4.0-pyhd8ed1ab_0.tar.bz2
+    aiohttp: '>=3.6.2,<4.0.0'
+    cachetools: '>=2.0.0,<6.0'
+    cryptography: '>=38.0.3'
+    pyasn1-modules: '>=0.2.1'
+    pyopenssl: '>=20.0.0'
+    python: '>=3.7'
+    pyu2f: '>=0.1.5'
+    requests: '>=2.20.0,<3.0.0'
+    rsa: '>=3.1.4,<5'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.28.0-pyhca7485f_0.conda
   hash:
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-    sha256: 427fae3ea7536907e30a760f2e5accba9f7e0a6a0dba0200bcf8b8bf2a9d10b8
+    md5: d1fd13c9ca00b6cb8d540dd47eae5848
+    sha256: 1b2675a66ae7ede179fa4e027c40764ed84d922f15c771981054a7cec216446a
   category: main
   optional: false
-- name: dask-labextension
-  version: 6.1.0
+- name: google-auth
+  version: 2.28.0
   manager: conda
-  platform: linux-64
+  platform: osx-64
   dependencies:
-    bokeh: '>=1.0.0,!=2.0.0'
-    distributed: '>=1.24.1'
-    jupyter-server-proxy: '>=1.3.2'
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-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/dask-labextension-6.1.0-pyhd8ed1ab_0.conda
+    python: '>=3.7'
+    pyasn1-modules: '>=0.2.1'
+    rsa: '>=3.1.4,<5'
+    pyopenssl: '>=20.0.0'
+    pyu2f: '>=0.1.5'
+    requests: '>=2.20.0,<3.0.0'
+    cachetools: '>=2.0.0,<6.0'
+    aiohttp: '>=3.6.2,<4.0.0'
+    cryptography: '>=38.0.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.28.0-pyhca7485f_0.conda
   hash:
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   category: main
   optional: false
-- name: gcsfs
-  version: 2023.6.0
+- name: google-auth
+  version: 2.28.0
   manager: conda
-  platform: linux-64
+  platform: osx-arm64
   dependencies:
-    aiohttp: ''
-    decorator: '>4.1.2'
-    fsspec: 2023.6.0
-    google-auth: '>=1.2'
-    google-auth-oauthlib: ''
-    google-cloud-storage: '>1.40'
     python: '>=3.7'
-    requests: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/gcsfs-2023.6.0-pyhd8ed1ab_0.conda
+    pyasn1-modules: '>=0.2.1'
+    rsa: '>=3.1.4,<5'
+    pyopenssl: '>=20.0.0'
+    pyu2f: '>=0.1.5'
+    requests: '>=2.20.0,<3.0.0'
+    cachetools: '>=2.0.0,<6.0'
+    aiohttp: '>=3.6.2,<4.0.0'
+    cryptography: '>=38.0.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.28.0-pyhca7485f_0.conda
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   category: main
   optional: false
-- name: notebook
-  version: 6.5.4
+- name: google-auth
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   manager: conda
-  platform: linux-64
+  platform: win-64
   dependencies:
-    argon2-cffi: ''
-    ipykernel: ''
-    ipython_genutils: ''
-    jinja2: ''
-    jupyter_client: '>=5.3.4'
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-    nbclassic: '>=0.4.7'
-    nbconvert-core: '>=5'
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-    nest-asyncio: '>=1.5'
-    prometheus_client: ''
     python: '>=3.7'
-    pyzmq: '>=17'
-    send2trash: '>=1.8.0'
-    terminado: '>=0.8.3'
-    tornado: '>=6.1'
-    traitlets: '>=4.2.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.4-pyha770c72_0.conda
+    pyasn1-modules: '>=0.2.1'
+    rsa: '>=3.1.4,<5'
+    pyopenssl: '>=20.0.0'
+    pyu2f: '>=0.1.5'
+    requests: '>=2.20.0,<3.0.0'
+    cachetools: '>=2.0.0,<6.0'
+    aiohttp: '>=3.6.2,<4.0.0'
+    cryptography: '>=38.0.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.28.0-pyhca7485f_0.conda
   hash:
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   category: main
   optional: false
-- name: aws-c-common
-  version: 0.8.20
+- name: google-auth-oauthlib
+  version: 1.2.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-common-0.8.20-h0dc2134_0.conda
+  platform: linux-64
+  dependencies:
+    click: '>=6.0.0'
+    google-auth: '>=2.15.0'
+    python: '>=3.6'
+    requests-oauthlib: '>=0.7.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-1.2.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: bzip2
-  version: 1.0.8
+- name: google-auth-oauthlib
+  version: 1.2.0
   manager: conda
   platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-h0d85af4_4.tar.bz2
+  dependencies:
+    python: '>=3.6'
+    requests-oauthlib: '>=0.7.0'
+    click: '>=6.0.0'
+    google-auth: '>=2.15.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-1.2.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: c-ares
-  version: 1.19.1
+- name: google-auth-oauthlib
+  version: 1.2.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/c-ares-1.19.1-h0dc2134_0.conda
+  platform: osx-arm64
+  dependencies:
+    python: '>=3.6'
+    requests-oauthlib: '>=0.7.0'
+    click: '>=6.0.0'
+    google-auth: '>=2.15.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-1.2.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: ca-certificates
-  version: 2023.5.7
+- name: google-auth-oauthlib
+  version: 1.2.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2023.5.7-h8857fd0_0.conda
+  platform: win-64
+  dependencies:
+    python: '>=3.6'
+    requests-oauthlib: '>=0.7.0'
+    click: '>=6.0.0'
+    google-auth: '>=2.15.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-1.2.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: font-ttf-dejavu-sans-mono
-  version: '2.37'
+- name: google-cloud-core
+  version: 2.4.1
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
+  platform: linux-64
+  dependencies:
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+    google-auth: '>=1.25.0,<3.0dev'
+    grpcio: '>=1.38.0,<2.0.0dev'
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.4.1-pyhd8ed1ab_0.conda
   hash:
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-    sha256: 58d7f40d2940dd0a8aa28651239adbf5613254df0f75789919c4e6762054403b
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   category: main
   optional: false
-- name: font-ttf-inconsolata
-  version: '3.000'
+- name: google-cloud-core
+  version: 2.4.1
   manager: conda
   platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
+  dependencies:
+    python: '>=3.8'
+    google-auth: '>=1.25.0,<3.0dev'
+    google-api-core: '>=1.31.6,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
+    grpcio: '>=1.38.0,<2.0.0dev'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.4.1-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: font-ttf-source-code-pro
-  version: '2.038'
+- name: google-cloud-core
+  version: 2.4.1
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
+  platform: osx-arm64
+  dependencies:
+    python: '>=3.8'
+    google-auth: '>=1.25.0,<3.0dev'
+    google-api-core: '>=1.31.6,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
+    grpcio: '>=1.38.0,<2.0.0dev'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.4.1-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: font-ttf-ubuntu
-  version: '0.83'
+- name: google-cloud-core
+  version: 2.4.1
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-hab24e00_0.tar.bz2
+  platform: win-64
+  dependencies:
+    python: '>=3.8'
+    google-auth: '>=1.25.0,<3.0dev'
+    google-api-core: '>=1.31.6,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
+    grpcio: '>=1.38.0,<2.0.0dev'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.4.1-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: freexl
-  version: 1.0.6
+- name: google-cloud-storage
+  version: 2.14.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/freexl-1.0.6-hb7f2c08_1.tar.bz2
+  platform: linux-64
+  dependencies:
+    google-api-core: '>=1.31.5,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
+    google-auth: '>=2.23.3,<3.0dev'
+    google-cloud-core: '>=2.3.0,<3.0dev'
+    google-crc32c: '>=1.0,<2.0dev'
+    google-resumable-media: '>=2.6.0'
+    protobuf: <5.0.0dev
+    python: '>=3.6'
+    requests: '>=2.18.0,<3.0.0dev'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-2.14.0-pyhca7485f_0.conda
   hash:
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   category: main
   optional: false
-- name: fribidi
-  version: 1.0.10
+- name: google-cloud-storage
+  version: 2.14.0
   manager: conda
   platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/fribidi-1.0.10-hbcb3906_0.tar.bz2
+  dependencies:
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+    requests: '>=2.18.0,<3.0.0dev'
+    google-api-core: '>=1.31.5,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
+    google-cloud-core: '>=2.3.0,<3.0dev'
+    google-crc32c: '>=1.0,<2.0dev'
+    protobuf: <5.0.0dev
+    google-resumable-media: '>=2.6.0'
+    google-auth: '>=2.23.3,<3.0dev'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-2.14.0-pyhca7485f_0.conda
   hash:
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-    sha256: 4f6db86ecc4984cd4ac88ca52030726c3cfd11a64dfb15c8602025ee3001a2b5
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   category: main
   optional: false
-- name: giflib
-  version: 5.2.1
+- name: google-cloud-storage
+  version: 2.14.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/giflib-5.2.1-hb7f2c08_3.conda
+  platform: osx-arm64
+  dependencies:
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+    requests: '>=2.18.0,<3.0.0dev'
+    google-api-core: '>=1.31.5,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
+    google-cloud-core: '>=2.3.0,<3.0dev'
+    google-crc32c: '>=1.0,<2.0dev'
+    protobuf: <5.0.0dev
+    google-resumable-media: '>=2.6.0'
+    google-auth: '>=2.23.3,<3.0dev'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-2.14.0-pyhca7485f_0.conda
   hash:
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   category: main
   optional: false
-- name: icu
-  version: '72.1'
+- name: google-cloud-storage
+  version: 2.14.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/icu-72.1-h7336db1_0.conda
+  platform: win-64
+  dependencies:
+    python: '>=3.6'
+    requests: '>=2.18.0,<3.0.0dev'
+    google-api-core: '>=1.31.5,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
+    google-cloud-core: '>=2.3.0,<3.0dev'
+    google-crc32c: '>=1.0,<2.0dev'
+    protobuf: <5.0.0dev
+    google-resumable-media: '>=2.6.0'
+    google-auth: '>=2.23.3,<3.0dev'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-2.14.0-pyhca7485f_0.conda
   hash:
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+    sha256: 175e88ea6e9cf353d63dfbb0007cb6be9240ab795c38ca4b5d5101b576383698
   category: main
   optional: false
-- name: json-c
-  version: '0.16'
+- name: google-crc32c
+  version: 1.1.2
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/json-c-0.16-h01d06f9_0.tar.bz2
+  platform: linux-64
+  dependencies:
+    cffi: '>=1.0.0'
+    libcrc32c: '>=1.1.2,<1.2.0a0'
+    libgcc-ng: '>=12'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/google-crc32c-1.1.2-py311h9b08b9c_5.conda
   hash:
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+    sha256: bbd6d4a5d91b8a9e783a03240e906d3cb6fee85ca912f900c46ef027a9eaa289
   category: main
   optional: false
-- name: libbrotlicommon
-  version: 1.0.9
+- name: google-crc32c
+  version: 1.1.2
   manager: conda
   platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlicommon-1.0.9-hb7f2c08_8.tar.bz2
+  dependencies:
+    cffi: '>=1.0.0'
+    libcrc32c: '>=1.1.2,<1.2.0a0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/osx-64/google-crc32c-1.1.2-py311h0b57020_5.conda
   hash:
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-    sha256: c983101653f5bffea605c4423d84fd5ca28ee36b290cdb6207ec246e293f7d94
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   category: main
   optional: false
-- name: libcxx
-  version: 16.0.6
-  manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libcxx-16.0.6-hd57cbcb_0.conda
+- name: google-crc32c
+  version: 1.1.2
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    cffi: '>=1.0.0'
+    libcrc32c: '>=1.1.2,<1.2.0a0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/google-crc32c-1.1.2-py311h533d1a3_5.conda
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   category: main
   optional: false
-- name: libdeflate
-  version: '1.18'
+- name: google-crc32c
+  version: 1.1.2
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libdeflate-1.18-hac1461d_0.conda
+  platform: win-64
+  dependencies:
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+    libcrc32c: '>=1.1.2,<1.2.0a0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/google-crc32c-1.1.2-py311h48d9ab2_5.conda
   hash:
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-    sha256: b985178bc45f83259c99026d988448277e17171801945769396e2577ce59778c
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   category: main
   optional: false
-- name: libev
-  version: '4.33'
+- name: google-resumable-media
+  version: 2.7.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libev-4.33-haf1e3a3_1.tar.bz2
+  platform: linux-64
+  dependencies:
+    google-crc32c: '>=1.0,<2.0.0dev'
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-resumable-media-2.7.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: libexpat
-  version: 2.5.0
+- name: google-resumable-media
+  version: 2.7.0
   manager: conda
   platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libexpat-2.5.0-hf0c8a7f_1.conda
+  dependencies:
+    python: '>=3.7'
+    google-crc32c: '>=1.0,<2.0.0dev'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-resumable-media-2.7.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: libffi
-  version: 3.4.2
+- name: google-resumable-media
+  version: 2.7.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libffi-3.4.2-h0d85af4_5.tar.bz2
+  platform: osx-arm64
+  dependencies:
+    python: '>=3.7'
+    google-crc32c: '>=1.0,<2.0.0dev'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-resumable-media-2.7.0-pyhd8ed1ab_0.conda
   hash:
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+    sha256: b7f08e89a491cfaa904328b96c1700da18d2cc33affefc2d15077e03ad4ec8bf
   category: main
   optional: false
-- name: libiconv
-  version: '1.17'
+- name: google-resumable-media
+  version: 2.7.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libiconv-1.17-hac89ed1_0.tar.bz2
+  platform: win-64
+  dependencies:
+    python: '>=3.7'
+    google-crc32c: '>=1.0,<2.0.0dev'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-resumable-media-2.7.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: libjpeg-turbo
-  version: 2.1.5.1
+- name: googleapis-common-protos
+  version: 1.62.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libjpeg-turbo-2.1.5.1-hb7f2c08_0.conda
+  platform: linux-64
+  dependencies:
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+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.62.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: libsodium
-  version: 1.0.18
+- name: googleapis-common-protos
+  version: 1.62.0
   manager: conda
   platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libsodium-1.0.18-hbcb3906_1.tar.bz2
+  dependencies:
+    python: '>=3.7'
+    protobuf: '>=3.19.5,<5.0.0dev0,!=3.20.0,!=3.20.1,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.62.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: libtool
-  version: 2.4.7
+- name: googleapis-common-protos
+  version: 1.62.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libtool-2.4.7-hf0c8a7f_0.conda
+  platform: osx-arm64
+  dependencies:
+    python: '>=3.7'
+    protobuf: '>=3.19.5,<5.0.0dev0,!=3.20.0,!=3.20.1,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.62.0-pyhd8ed1ab_0.conda
   hash:
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+    sha256: 70da3fc08a742022c666d9807f0caba60be1ddbf09b6642c168001bace18c724
   category: main
   optional: false
-- name: libutf8proc
-  version: 2.8.0
+- name: googleapis-common-protos
+  version: 1.62.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libutf8proc-2.8.0-hb7f2c08_0.tar.bz2
+  platform: win-64
+  dependencies:
+    python: '>=3.7'
+    protobuf: '>=3.19.5,<5.0.0dev0,!=3.20.0,!=3.20.1,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.62.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: libwebp-base
-  version: 1.3.0
+- name: graphite2
+  version: 1.3.13
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libwebp-base-1.3.0-hb7f2c08_0.conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=7.5.0'
+    libstdcxx-ng: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/graphite2-1.3.13-h58526e2_1001.tar.bz2
   hash:
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-    sha256: 5ed0b7f127f578ddd28e3af86af278df8d5341416935a09ae772a57579cbb11b
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+    sha256: 65da967f3101b737b08222de6a6a14e20e480e7d523a5d1e19ace7b960b5d6b1
   category: main
   optional: false
-- name: libzlib
-  version: 1.2.13
+- name: graphite2
+  version: 1.3.13
   manager: conda
   platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/libzlib-1.2.13-h8a1eda9_5.conda
+  dependencies:
+    libcxx: '>=10.0.1'
+  url: https://conda.anaconda.org/conda-forge/osx-64/graphite2-1.3.13-h2e338ed_1001.tar.bz2
   hash:
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   category: main
   optional: false
-- name: llvm-openmp
-  version: 16.0.6
+- name: graphite2
+  version: 1.3.13
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-16.0.6-hff08bdf_0.conda
+  platform: osx-arm64
+  dependencies:
+    libcxx: '>=11.0.0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/graphite2-1.3.13-h9f76cd9_1001.tar.bz2
   hash:
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   category: main
   optional: false
-- name: lzo
-  version: '2.10'
+- name: graphite2
+  version: 1.3.13
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/lzo-2.10-haf1e3a3_1000.tar.bz2
+  platform: win-64
+  dependencies:
+    vc: 14.*
+  url: https://conda.anaconda.org/conda-forge/win-64/graphite2-1.3.13-1000.tar.bz2
   hash:
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-    sha256: c8a9401eff2efbbcc6da03d0066ee85d72402f7658c240e7968c64052a0d0493
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+    sha256: ed47008df8e57a83f45112985b76ac4339177486bd4d1d1b305d685a832532aa
   category: main
   optional: false
-- name: ncurses
-  version: '6.4'
+- name: graphviz
+  version: 9.0.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/ncurses-6.4-hf0c8a7f_0.conda
+  platform: linux-64
+  dependencies:
+    cairo: '>=1.18.0,<2.0a0'
+    fonts-conda-ecosystem: ''
+    gdk-pixbuf: '>=2.42.10,<3.0a0'
+    gtk2: ''
+    gts: '>=0.7.6,<0.8.0a0'
+    libexpat: '>=2.5.0,<3.0a0'
+    libgcc-ng: '>=12'
+    libgd: '>=2.3.3,<2.4.0a0'
+    libglib: '>=2.78.1,<3.0a0'
+    librsvg: '>=2.56.3,<3.0a0'
+    libstdcxx-ng: '>=12'
+    libwebp-base: '>=1.3.2,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    pango: '>=1.50.14,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/graphviz-9.0.0-h78e8752_1.conda
   hash:
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   category: main
   optional: false
-- name: pixman
-  version: 0.40.0
+- name: graphviz
+  version: 9.0.0
   manager: conda
   platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/pixman-0.40.0-hbcb3906_0.tar.bz2
+  dependencies:
+    __osx: '>=10.9'
+    cairo: '>=1.18.0,<2.0a0'
+    fonts-conda-ecosystem: ''
+    gdk-pixbuf: '>=2.42.10,<3.0a0'
+    gtk2: ''
+    gts: '>=0.7.6,<0.8.0a0'
+    libcxx: '>=16.0.6'
+    libexpat: '>=2.5.0,<3.0a0'
+    libgd: '>=2.3.3,<2.4.0a0'
+    libglib: '>=2.78.1,<3.0a0'
+    librsvg: '>=2.56.3,<3.0a0'
+    libwebp-base: '>=1.3.2,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    pango: '>=1.50.14,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/graphviz-9.0.0-hee74176_1.conda
   hash:
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-    sha256: 50646988679b823958bd99983a9e66fce58a7368fa2bab5712efb5c7ce6199af
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   category: main
   optional: false
-- name: poppler-data
-  version: 0.4.12
+- name: graphviz
+  version: 9.0.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda
+  platform: osx-arm64
+  dependencies:
+    __osx: '>=10.9'
+    cairo: '>=1.18.0,<2.0a0'
+    fonts-conda-ecosystem: ''
+    gdk-pixbuf: '>=2.42.10,<3.0a0'
+    gtk2: ''
+    gts: '>=0.7.6,<0.8.0a0'
+    libcxx: '>=16.0.6'
+    libexpat: '>=2.5.0,<3.0a0'
+    libgd: '>=2.3.3,<2.4.0a0'
+    libglib: '>=2.78.1,<3.0a0'
+    librsvg: '>=2.56.3,<3.0a0'
+    libwebp-base: '>=1.3.2,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    pango: '>=1.50.14,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/graphviz-9.0.0-h3face73_1.conda
   hash:
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   category: main
   optional: false
-- name: pthread-stubs
-  version: '0.4'
+- name: graphviz
+  version: 9.0.0
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/pthread-stubs-0.4-hc929b4f_1001.tar.bz2
+  platform: win-64
+  dependencies:
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+    getopt-win32: '>=0.1,<0.2.0a0'
+    gts: '>=0.7.6,<0.8.0a0'
+    libexpat: '>=2.5.0,<3.0a0'
+    libgd: '>=2.3.3,<2.4.0a0'
+    libglib: '>=2.78.1,<3.0a0'
+    libwebp-base: '>=1.3.2,<2.0a0'
+    pango: '>=1.50.14,<2.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/graphviz-9.0.0-h51cb2cd_1.conda
   hash:
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   category: main
   optional: false
-- name: python_abi
-  version: '3.11'
+- name: greenlet
+  version: 3.0.3
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/python_abi-3.11-3_cp311.conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/greenlet-3.0.3-py311hb755f60_0.conda
   hash:
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-    sha256: 145edb385d464227aca8ce963b9e22f5f36cacac9085eb38f574961ebc69684e
+    md5: 6f4b03b4d1e0da0962ea02113382677c
+    sha256: e6228b46b15ee3f54592c8a1fc1bf3846d519719ac65c238c20e21eb431971ec
   category: main
   optional: false
-- name: tzcode
-  version: 2023c
+- name: greenlet
+  version: 3.0.3
   manager: conda
   platform: osx-64
-  dependencies: {}
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+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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   optional: false
-- name: tzdata
-  version: 2023c
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   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2023c-h71feb2d_0.conda
+  platform: osx-arm64
+  dependencies:
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+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/greenlet-3.0.3-py311h92babd0_0.conda
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-- name: xorg-libxau
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-- name: xorg-libxdmcp
-  version: 1.1.3
+- name: greenlet
+  version: 3.0.3
   manager: conda
-  platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/xorg-libxdmcp-1.1.3-h35c211d_0.tar.bz2
+  platform: win-64
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+    vc14_runtime: '>=14.29.30139'
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   optional: false
-- name: xz
-  version: 5.2.6
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/xz-5.2.6-h775f41a_0.tar.bz2
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   category: main
   optional: false
-- name: yaml
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   manager: conda
   platform: osx-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-64/yaml-0.2.5-h0d85af4_2.tar.bz2
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+    libzlib: '>=1.2.13,<1.3.0a0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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-- name: aws-c-compression
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+- name: grpcio
+  version: 1.60.1
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-compression-0.2.17-h0ead7ca_0.conda
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+    libzlib: '>=1.2.13,<1.3.0a0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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-- name: aws-c-sdkutils
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+  version: 1.60.1
   manager: conda
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+  platform: win-64
   dependencies:
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+    libzlib: '>=1.2.13,<1.3.0a0'
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+    vc: '>=14.2,<15'
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+  url: https://conda.anaconda.org/conda-forge/win-64/grpcio-1.60.1-py311h5bc0dda_0.conda
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   optional: false
-- name: aws-checksums
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/aws-checksums-0.1.16-h0ead7ca_0.conda
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+    numpy: '>=1.23.5,<2.0a0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/gsw-3.6.17-py311h1f0f07a_1.conda
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   optional: false
-- name: expat
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   manager: conda
   platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/expat-2.5.0-hf0c8a7f_1.conda
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+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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   optional: false
-- name: fonts-conda-forge
-  version: '1'
+- name: gsw
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   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    font-ttf-inconsolata: ''
-    font-ttf-source-code-pro: ''
-    font-ttf-dejavu-sans-mono: ''
-    font-ttf-ubuntu: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
+    numpy: '>=1.23.5,<2.0a0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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-- name: geos
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   manager: conda
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/geos-3.11.2-hf0c8a7f_0.conda
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-- name: gettext
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/gettext-0.21.1-h8a4c099_0.tar.bz2
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+    pango: '>=1.50.14,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/gtk2-2.24.33-h7f000aa_3.conda
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   optional: false
-- name: gflags
-  version: 2.2.2
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   manager: conda
   platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/gflags-2.2.2-hb1e8313_1004.tar.bz2
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+  url: https://conda.anaconda.org/conda-forge/osx-64/gtk2-2.24.33-h8ca4665_3.conda
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-- name: graphite2
-  version: 1.3.13
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/graphite2-1.3.13-h2e338ed_1001.tar.bz2
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+    pango: '>=1.50.14,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/gtk2-2.24.33-h7895bb2_3.conda
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-- name: hdf4
-  version: 4.2.15
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+  version: 0.7.6
   manager: conda
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+  platform: linux-64
   dependencies:
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+    libgcc-ng: '>=12'
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+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda
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   optional: false
-- name: lerc
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   manager: conda
   platform: osx-64
   dependencies:
-    libcxx: '>=13.0.1'
-  url: https://conda.anaconda.org/conda-forge/osx-64/lerc-4.0.0-hb486fe8_0.tar.bz2
+    libcxx: '>=15.0.7'
+    libglib: '>=2.76.3,<3.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/gts-0.7.6-h53e17e3_4.conda
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   optional: false
-- name: libabseil
-  version: '20230125.2'
+- name: gts
+  version: 0.7.6
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libabseil-20230125.2-cxx17_h000cb23_2.conda
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+  url: https://conda.anaconda.org/conda-forge/osx-arm64/gts-0.7.6-he42f4ea_4.conda
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   optional: false
-- name: libaec
-  version: 1.0.6
+- name: gts
+  version: 0.7.6
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libaec-1.0.6-hf0c8a7f_1.conda
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   optional: false
-- name: libbrotlidec
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+- name: h11
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   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlidec-1.0.9-hb7f2c08_8.tar.bz2
+    python: '>=3'
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+  url: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
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   optional: false
-- name: libbrotlienc
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   manager: conda
   platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlienc-1.0.9-hb7f2c08_8.tar.bz2
+    typing_extensions: ''
+    python: '>=3'
+  url: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
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   category: main
   optional: false
-- name: libcrc32c
-  version: 1.1.2
+- name: h11
+  version: 0.14.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libcrc32c-1.1.2-he49afe7_0.tar.bz2
+    typing_extensions: ''
+    python: '>=3'
+  url: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
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   category: main
   optional: false
-- name: libedit
-  version: 3.1.20191231
+- name: h11
+  version: 0.14.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    ncurses: '>=6.2,<7.0.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libedit-3.1.20191231-h0678c8f_2.tar.bz2
+    typing_extensions: ''
+    python: '>=3'
+  url: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
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   category: main
   optional: false
-- name: libgfortran5
-  version: 12.2.0
+- name: h2
+  version: 4.1.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    llvm-openmp: '>=8.0.0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran5-12.2.0-he409387_31.conda
+    hpack: '>=4.0,<5'
+    hyperframe: '>=6.0,<7'
+    python: '>=3.6.1'
+  url: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
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   category: main
   optional: false
-- name: libllvm14
-  version: 14.0.6
+- name: h2
+  version: 4.1.0
   manager: conda
   platform: osx-64
   dependencies:
-    libcxx: '>=15'
-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libllvm14-14.0.6-hc8e404f_3.conda
+    python: '>=3.6.1'
+    hpack: '>=4.0,<5'
+    hyperframe: '>=6.0,<7'
+  url: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
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   category: main
   optional: false
-- name: libpng
-  version: 1.6.39
+- name: h2
+  version: 4.1.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libpng-1.6.39-ha978bb4_0.conda
+    python: '>=3.6.1'
+    hpack: '>=4.0,<5'
+    hyperframe: '>=6.0,<7'
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   optional: false
-- name: libprotobuf
-  version: 3.21.12
+- name: h2
+  version: 4.1.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    libcxx: '>=14.0.6'
-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libprotobuf-3.21.12-hbc0c0cd_0.conda
+    python: '>=3.6.1'
+    hpack: '>=4.0,<5'
+    hyperframe: '>=6.0,<7'
+  url: https://conda.anaconda.org/conda-forge/noarch/h2-4.1.0-pyhd8ed1ab_0.tar.bz2
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   category: main
   optional: false
-- name: libsqlite
-  version: 3.42.0
+- name: harfbuzz
+  version: 8.3.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libsqlite-3.42.0-h58db7d2_0.conda
+    cairo: '>=1.18.0,<2.0a0'
+    freetype: '>=2.12.1,<3.0a0'
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+    icu: '>=73.2,<74.0a0'
+    libgcc-ng: '>=12'
+    libglib: '>=2.78.1,<3.0a0'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/harfbuzz-8.3.0-h3d44ed6_0.conda
   hash:
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   category: main
   optional: false
-- name: libxcb
-  version: '1.15'
+- name: harfbuzz
+  version: 8.3.0
   manager: conda
   platform: osx-64
   dependencies:
-    pthread-stubs: ''
-    xorg-libxau: ''
-    xorg-libxdmcp: ''
-  url: https://conda.anaconda.org/conda-forge/osx-64/libxcb-1.15-hb7f2c08_0.conda
+    __osx: '>=10.9'
+    cairo: '>=1.18.0,<2.0a0'
+    freetype: '>=2.12.1,<3.0a0'
+    graphite2: ''
+    icu: '>=73.2,<74.0a0'
+    libcxx: '>=16.0.6'
+    libglib: '>=2.78.1,<3.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/harfbuzz-8.3.0-hf45c392_0.conda
   hash:
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   optional: false
-- name: libxml2
-  version: 2.11.4
+- name: harfbuzz
+  version: 8.3.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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-    libiconv: '>=1.17,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libxml2-2.11.4-hd95e348_0.conda
+    __osx: '>=10.9'
+    cairo: '>=1.18.0,<2.0a0'
+    freetype: '>=2.12.1,<3.0a0'
+    graphite2: ''
+    icu: '>=73.2,<74.0a0'
+    libcxx: '>=16.0.6'
+    libglib: '>=2.78.1,<3.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/harfbuzz-8.3.0-h8f0ba13_0.conda
   hash:
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   category: main
   optional: false
-- name: lz4-c
-  version: 1.9.4
+- name: harfbuzz
+  version: 8.3.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    libcxx: '>=14.0.6'
-  url: https://conda.anaconda.org/conda-forge/osx-64/lz4-c-1.9.4-hf0c8a7f_0.conda
+    cairo: '>=1.18.0,<2.0a0'
+    freetype: '>=2.12.1,<3.0a0'
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+    icu: '>=73.2,<74.0a0'
+    libglib: '>=2.78.1,<3.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/harfbuzz-8.3.0-h7ab893a_0.conda
   hash:
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   category: main
   optional: false
-- name: nspr
-  version: '4.35'
+- name: hdf4
+  version: 4.2.15
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    libcxx: '>=14.0.6'
-  url: https://conda.anaconda.org/conda-forge/osx-64/nspr-4.35-hea0b92c_0.conda
+    libgcc-ng: '>=12'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda
   hash:
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   category: main
   optional: false
-- name: openssl
-  version: 3.1.1
+- name: hdf4
+  version: 4.2.15
   manager: conda
   platform: osx-64
   dependencies:
-    ca-certificates: ''
-  url: https://conda.anaconda.org/conda-forge/osx-64/openssl-3.1.1-h8a1eda9_1.conda
+    libcxx: '>=15.0.7'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/hdf4-4.2.15-h8138101_7.conda
   hash:
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   category: main
   optional: false
-- name: pandoc
-  version: 3.1.3
+- name: hdf4
+  version: 4.2.15
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
+    libcxx: '>=15.0.7'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
     libzlib: '>=1.2.13,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/pandoc-3.1.3-h9d075a6_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/hdf4-4.2.15-h2ee6834_7.conda
   hash:
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   category: main
   optional: false
-- name: pcre2
-  version: '10.40'
+- name: hdf4
+  version: 4.2.15
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    bzip2: '>=1.0.8,<2.0a0'
-    libzlib: '>=1.2.12,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/pcre2-10.40-h1c4e4bc_0.tar.bz2
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
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+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/hdf4-4.2.15-h5557f11_7.conda
   hash:
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   category: main
   optional: false
-- name: re2
-  version: 2023.03.02
+- name: hdf5
+  version: 1.14.3
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    libcxx: '>=14.0.6'
-  url: https://conda.anaconda.org/conda-forge/osx-64/re2-2023.03.02-h096449b_0.conda
+    libaec: '>=1.1.2,<2.0a0'
+    libcurl: '>=8.4.0,<9.0a0'
+    libgcc-ng: '>=12'
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+    libgfortran5: '>=12.3.0'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-nompi_h4f84152_100.conda
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   category: main
   optional: false
-- name: readline
-  version: '8.2'
+- name: hdf5
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   manager: conda
   platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/readline-8.2-h9e318b2_1.conda
+    __osx: '>=10.9'
+    libaec: '>=1.1.2,<2.0a0'
+    libcurl: '>=8.4.0,<9.0a0'
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+    libgfortran: 5.*
+    libgfortran5: '>=13.2.0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/hdf5-1.14.3-nompi_h691f4bf_100.conda
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   category: main
   optional: false
-- name: snappy
-  version: 1.1.10
+- name: hdf5
+  version: 1.14.3
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    libcxx: '>=14.0.6'
-  url: https://conda.anaconda.org/conda-forge/osx-64/snappy-1.1.10-h225ccf5_0.conda
+    __osx: '>=10.9'
+    libaec: '>=1.1.2,<2.0a0'
+    libcurl: '>=8.4.0,<9.0a0'
+    libcxx: '>=16.0.6'
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+    libgfortran5: '>=13.2.0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/hdf5-1.14.3-nompi_h5bb55e9_100.conda
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   category: main
   optional: false
-- name: tk
-  version: 8.6.12
+- name: hdf5
+  version: 1.14.3
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    libzlib: '>=1.2.11,<1.3.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/tk-8.6.12-h5dbffcc_0.tar.bz2
+    libaec: '>=1.1.2,<2.0a0'
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+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/hdf5-1.14.3-nompi_h73e8ff5_100.conda
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-- name: zeromq
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   manager: conda
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   dependencies:
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+    python: '>=3.9'
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-- name: zlib
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   manager: conda
   platform: osx-64
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-- name: zstd
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   manager: conda
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+  platform: osx-arm64
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-- name: aws-c-cal
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: blosc
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: boost-cpp
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-- name: brotli-bin
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-- name: fonts-conda-ecosystem
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   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    fonts-conda-forge: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2
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-- name: freetype
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: glog
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   manager: conda
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   dependencies:
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-- name: krb5
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-- name: libarchive
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+- name: httpcore
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: libevent
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+- name: httpx
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: libgfortran
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+- name: httpx
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   manager: conda
   platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran-5.0.0-11_3_0_h97931a8_31.conda
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-- name: libglib
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+- name: httpx
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   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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+    certifi: ''
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+    python: '>=3.8'
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+  url: https://conda.anaconda.org/conda-forge/noarch/httpx-0.26.0-pyhd8ed1ab_0.conda
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-- name: libgrpc
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+- name: httpx
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   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libgrpc-1.54.2-hfaa49da_2.conda
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+    python: '>=3.8'
+    httpcore: 1.*
+  url: https://conda.anaconda.org/conda-forge/noarch/httpx-0.26.0-pyhd8ed1ab_0.conda
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-- name: libnghttp2
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+- name: hvplot
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   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libnghttp2-1.52.0-he2ab024_0.conda
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+    colorcet: '>=2'
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+    panel: '>=0.11.0'
+    param: '>=1.12.0,<3.0'
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/hvplot-0.9.2-pyhd8ed1ab_0.conda
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   optional: false
-- name: librttopo
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   manager: conda
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-- name: executing
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   dependencies:
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   dependencies:
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-- name: flit-core
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   dependencies:
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-- name: libkml
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-- name: libopenblas
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-- name: libwebp
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   manager: conda
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     python_abi: 3.11.*
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-- name: markupsafe
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-  url: https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.0-pyhd8ed1ab_0.tar.bz2
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-- name: msgpack-python
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   manager: conda
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+  platform: osx-arm64
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     python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/msgpack-python-1.0.5-py311hd2070f0_0.conda
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-- name: multidict
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   manager: conda
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   dependencies:
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-- name: nest-asyncio
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   dependencies:
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-- name: openjpeg
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   manager: conda
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-- name: packaging
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-  url: https://conda.anaconda.org/conda-forge/noarch/packaging-23.1-pyhd8ed1ab_0.conda
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-- name: pandocfilters
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-- name: param
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   dependencies:
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-- name: parso
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   dependencies:
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-- name: pickleshare
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   manager: conda
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pickleshare-0.7.5-py_1003.tar.bz2
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-- name: pkgutil-resolve-name
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   manager: conda
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+  platform: linux-64
   dependencies:
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+    uri-template: ''
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+  url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.21.1-pyhd8ed1ab_0.conda
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-- name: prometheus_client
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   manager: conda
   platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.17.0-pyhd8ed1ab_0.conda
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   category: main
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-- name: psutil
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/psutil-5.9.5-py311h5547dcb_0.conda
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-- name: ptyprocess
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   manager: conda
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+  platform: win-64
   dependencies:
     python: ''
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-- name: pytz
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   manager: conda
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   dependencies:
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-- name: pyyaml
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-- name: pyzmq
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-- name: rfc3986-validator
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   manager: conda
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   dependencies:
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-- name: setuptools
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+  platform: win-64
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-- name: websocket-client
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-  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-http-0.7.8-h7d0dcbb_4.conda
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+    importlib-metadata: '>=4.8.3'
+    jinja2: '>=3.0.3'
+    json5: '>=0.9.0'
+    jsonschema: '>=4.18'
+    jupyter_server: '>=1.21,<3'
+    packaging: '>=21.3'
+    python: '>=3.8'
+    requests: '>=2.31'
+  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.25.3-pyhd8ed1ab_0.conda
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   optional: false
-- name: babel
-  version: 2.12.1
+- name: jupyterlab_server
+  version: 2.25.3
   manager: conda
   platform: osx-64
   dependencies:
-    pytz: ''
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/babel-2.12.1-pyhd8ed1ab_1.conda
+    python: '>=3.8'
+    packaging: '>=21.3'
+    jinja2: '>=3.0.3'
+    importlib-metadata: '>=4.8.3'
+    jupyter_server: '>=1.21,<3'
+    babel: '>=2.10'
+    json5: '>=0.9.0'
+    requests: '>=2.31'
+    jsonschema: '>=4.18'
+  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.25.3-pyhd8ed1ab_0.conda
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-- name: backports.functools_lru_cache
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+- name: jupyterlab_server
+  version: 2.25.3
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    setuptools: ''
-    backports: ''
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/backports.functools_lru_cache-1.6.5-pyhd8ed1ab_0.conda
+    python: '>=3.8'
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+    babel: '>=2.10'
+    json5: '>=0.9.0'
+    requests: '>=2.31'
+    jsonschema: '>=4.18'
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   optional: false
-- name: beautifulsoup4
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+- name: jupyterlab_server
+  version: 2.25.3
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    python: '>=3.6'
-    soupsieve: '>=1.2'
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-    webencodings: ''
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-    six: '>=1.9.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/bleach-6.0.0-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+    packaging: '>=21.3'
+    jinja2: '>=3.0.3'
+    importlib-metadata: '>=4.8.3'
+    jupyter_server: '>=1.21,<3'
+    babel: '>=2.10'
+    json5: '>=0.9.0'
+    requests: '>=2.31'
+    jsonschema: '>=4.18'
+  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.25.3-pyhd8ed1ab_0.conda
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-- name: cairo
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+- name: kealib
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   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    fontconfig: '>=2.14.2,<3.0a0'
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-    freetype: '>=2.12.1,<3.0a0'
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-    zlib: ''
-  url: https://conda.anaconda.org/conda-forge/osx-64/cairo-1.16.0-h09dd18c_1016.conda
+    hdf5: '>=1.14.3,<1.14.4.0a0'
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/kealib-1.5.3-h2f55d51_0.conda
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-- name: cffi
-  version: 1.15.1
+- name: kealib
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   manager: conda
   platform: osx-64
   dependencies:
-    libffi: '>=3.4,<4.0a0'
-    pycparser: ''
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/cffi-1.15.1-py311ha86e640_3.conda
+    hdf5: '>=1.14.3,<1.14.4.0a0'
+    libcxx: '>=15'
+  url: https://conda.anaconda.org/conda-forge/osx-64/kealib-1.5.3-h5f07ac3_0.conda
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-- name: cfitsio
-  version: 4.2.0
+- name: kealib
+  version: 1.5.3
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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-    libcurl: '>=7.86.0,<9.0a0'
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+    hdf5: '>=1.14.3,<1.14.4.0a0'
+    libcxx: '>=15'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/kealib-1.5.3-h210d843_0.conda
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   category: main
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-- name: click-plugins
-  version: 1.1.1
+- name: kealib
+  version: 1.5.3
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    python: ''
-    click: '>=3.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/click-plugins-1.1.1-py_0.tar.bz2
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+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
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-- name: cligj
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+  version: 1.6.1
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-    click: '>=4.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/cligj-0.7.2-pyhd8ed1ab_1.tar.bz2
+    libgcc-ng: '>=10.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2
   hash:
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   optional: false
-- name: comm
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   manager: conda
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+  platform: linux-64
   dependencies:
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-    traitlets: '>=5.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/comm-0.1.3-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.5-py311h9547e67_1.conda
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-- name: curl
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+- name: kiwisolver
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   manager: conda
   platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/curl-8.1.2-hbee3ae8_0.conda
+    libcxx: '>=15.0.7'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
+  url: https://conda.anaconda.org/conda-forge/osx-64/kiwisolver-1.4.5-py311h5fe6e05_1.conda
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-- name: cytoolz
-  version: 0.12.0
+- name: kiwisolver
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   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
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-  url: https://conda.anaconda.org/conda-forge/osx-64/cytoolz-0.12.0-py311h5547dcb_1.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/kiwisolver-1.4.5-py311he4fd1f5_1.conda
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-- name: fonttools
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   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
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     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/fonttools-4.40.0-py311h2725bcf_0.conda
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-- name: hdf5
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   manager: conda
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+  platform: linux-64
   dependencies:
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   hash:
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-- name: importlib-metadata
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   dependencies:
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-    zipp: '>=0.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-6.7.0-pyha770c72_0.conda
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-- name: importlib_resources
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-    zipp: '>=3.1.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.12.0-pyhd8ed1ab_0.conda
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-- name: jedi
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   manager: conda
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/jedi-0.18.2-pyhd8ed1ab_0.conda
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-- name: jinja2
-  version: 3.1.2
+- name: latexcodec
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   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-    markupsafe: '>=2.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/jinja2-3.1.2-pyhd8ed1ab_1.tar.bz2
+    python: ''
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+  url: https://conda.anaconda.org/conda-forge/noarch/latexcodec-2.0.1-pyh9f0ad1d_0.tar.bz2
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-- name: libblas
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-- name: markdown-it-py
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   category: main
   optional: false
-- name: pyct-core
-  version: 0.4.6
+- name: libarchive
+  version: 3.7.2
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    python: ''
-    param: '>=1.7.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pyct-core-0.4.6-py_0.tar.bz2
+    bzip2: '>=1.0.8,<2.0a0'
+    libgcc-ng: '>=12'
+    libxml2: '>=2.12.2,<3.0.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    lzo: '>=2.10,<3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    xz: '>=5.2.6,<6.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libarchive-3.7.2-h2aa1ff5_1.conda
   hash:
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   category: main
   optional: false
-- name: pyobjc-core
-  version: '9.2'
+- name: libarchive
+  version: 3.7.2
   manager: conda
   platform: osx-64
   dependencies:
-    libffi: '>=3.4,<4.0a0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-    setuptools: ''
-  url: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-core-9.2-py311hf110eff_0.conda
+    bzip2: '>=1.0.8,<2.0a0'
+    libiconv: '>=1.17,<2.0a0'
+    libxml2: '>=2.12.2,<3.0.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    lzo: '>=2.10,<3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    xz: '>=5.2.6,<6.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libarchive-3.7.2-hd35d340_1.conda
   hash:
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-    sha256: 17fec1464116ce95acc1967941df0f11e0ebd61097eb98b1b8548cbb828fc25f
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+    sha256: f458515a49c56e117e05fe607493b7683a7bf06d2a625b59e378dbbf7f308895
   category: main
   optional: false
-- name: python-dateutil
-  version: 2.8.2
+- name: libarchive
+  version: 3.7.2
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    python: '>=3.6'
-    six: '>=1.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2
+    bzip2: '>=1.0.8,<2.0a0'
+    libiconv: '>=1.17,<2.0a0'
+    libxml2: '>=2.12.2,<3.0.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    lzo: '>=2.10,<3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    xz: '>=5.2.6,<6.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libarchive-3.7.2-hcacb583_1.conda
   hash:
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+    sha256: 307dd9984deccab782a834022a708ba070950d3d0f3b370ce9331ad1db013576
   category: main
   optional: false
-- name: pyu2f
-  version: 0.1.5
+- name: libarchive
+  version: 3.7.2
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    six: ''
-    python: '>=2.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/pyu2f-0.1.5-pyhd8ed1ab_0.tar.bz2
+    bzip2: '>=1.0.8,<2.0a0'
+    libxml2: '>=2.12.2,<3.0.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    lzo: '>=2.10,<3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+    xz: '>=5.2.6,<6.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/win-64/libarchive-3.7.2-h313118b_1.conda
   hash:
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-    sha256: 667a5a30b65a60b15f38fa4cb09efd6d2762b5a0a9563acd9555eaa5e0b953a2
+    md5: 4b84938cdb30e9cc2dc413208e917e11
+    sha256: 8dd608299e8bc56e0337c6653028e552fea8b952af10fbcc2f4008274add11a1
   category: main
   optional: false
-- name: pyviz_comms
-  version: 2.3.2
+- name: libarrow
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    param: ''
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/pyviz_comms-2.3.2-pyhd8ed1ab_0.conda
+    aws-crt-cpp: '>=0.26.1,<0.26.2.0a0'
+    aws-sdk-cpp: '>=1.11.242,<1.11.243.0a0'
+    bzip2: '>=1.0.8,<2.0a0'
+    glog: '>=0.6.0,<0.7.0a0'
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libbrotlidec: '>=1.1.0,<1.2.0a0'
+    libbrotlienc: '>=1.1.0,<1.2.0a0'
+    libgcc-ng: '>=12'
+    libgoogle-cloud: '>=2.12.0,<2.13.0a0'
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libstdcxx-ng: '>=12'
+    libutf8proc: '>=2.8.0,<3.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    orc: '>=1.9.2,<1.9.3.0a0'
+    re2: ''
+    snappy: '>=1.1.10,<2.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-15.0.0-he2c5238_2_cpu.conda
   hash:
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-    sha256: 9609563a437470800aed7e0b7b05adffac9e754e0b924a7aedaf191571e3d583
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+    sha256: d802220e0157586c7ea382472945b040b54db98f0a3fb6d14f89b663e77cfe8b
   category: main
   optional: false
-- name: rfc3339-validator
-  version: 0.1.4
+- name: libarrow
+  version: 15.0.0
   manager: conda
   platform: osx-64
   dependencies:
-    six: ''
-    python: '>=3.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2
+    __osx: '>=10.13'
+    aws-crt-cpp: '>=0.26.1,<0.26.2.0a0'
+    aws-sdk-cpp: '>=1.11.242,<1.11.243.0a0'
+    bzip2: '>=1.0.8,<2.0a0'
+    glog: '>=0.6.0,<0.7.0a0'
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libbrotlidec: '>=1.1.0,<1.2.0a0'
+    libbrotlienc: '>=1.1.0,<1.2.0a0'
+    libcxx: '>=14'
+    libgoogle-cloud: '>=2.12.0,<2.13.0a0'
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libutf8proc: '>=2.8.0,<3.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    orc: '>=1.9.2,<1.9.3.0a0'
+    re2: ''
+    snappy: '>=1.1.10,<2.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libarrow-15.0.0-h9a9dd9d_2_cpu.conda
   hash:
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-    sha256: 7c7052b51de0b5c558f890bb11f8b5edbb9934a653d76be086b1182b9f54185d
+    md5: 2debacaff79a2ea6c8f65a6ab720ff40
+    sha256: 5bef0cbb8bf8e1297a4cf339ff30b743be5a9545968fbff8d35be302a852b628
   category: main
   optional: false
-- name: rsa
-  version: '4.9'
+- name: libarrow
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    python: '>=3.6'
-    pyasn1: '>=0.1.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/rsa-4.9-pyhd8ed1ab_0.tar.bz2
+    aws-crt-cpp: '>=0.26.1,<0.26.2.0a0'
+    aws-sdk-cpp: '>=1.11.242,<1.11.243.0a0'
+    bzip2: '>=1.0.8,<2.0a0'
+    glog: '>=0.6.0,<0.7.0a0'
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libbrotlidec: '>=1.1.0,<1.2.0a0'
+    libbrotlienc: '>=1.1.0,<1.2.0a0'
+    libcxx: '>=14'
+    libgoogle-cloud: '>=2.12.0,<2.13.0a0'
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libutf8proc: '>=2.8.0,<3.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    orc: '>=1.9.2,<1.9.3.0a0'
+    re2: ''
+    snappy: '>=1.1.10,<2.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libarrow-15.0.0-h906e67b_2_cpu.conda
   hash:
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-    sha256: 23214cdc15a41d14136754857fd9cd46ca3c55a7e751da3b3a48c673f0ee2a57
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+    sha256: ade3ac9c040bee2cf74cbd84a5e0db55b1fda3c4058f483fad47358f89560beb
   category: main
   optional: false
-- name: terminado
-  version: 0.17.1
+- name: libarrow
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    __osx: ''
-    ptyprocess: ''
-    python: '>=3.7'
-    tornado: '>=6.1.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/terminado-0.17.1-pyhd1c38e8_0.conda
+    aws-crt-cpp: '>=0.26.1,<0.26.2.0a0'
+    aws-sdk-cpp: '>=1.11.242,<1.11.243.0a0'
+    bzip2: '>=1.0.8,<2.0a0'
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libbrotlidec: '>=1.1.0,<1.2.0a0'
+    libbrotlienc: '>=1.1.0,<1.2.0a0'
+    libcrc32c: '>=1.1.2,<1.2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libgoogle-cloud: '>=2.12.0,<2.13.0a0'
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libutf8proc: '>=2.8.0,<3.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    orc: '>=1.9.2,<1.9.3.0a0'
+    re2: ''
+    snappy: '>=1.1.10,<2.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/win-64/libarrow-15.0.0-h33d03ac_2_cpu.conda
   hash:
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-    sha256: a2f8382ab390c74af592cc3566dc22e2ed81e5ac69c5b6417d1b7c22e63927bc
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+    sha256: 2d7f88fcff1ac315596736ae7b564b59f856a488626e0c1727a22e21a43b4696
   category: main
   optional: false
-- name: tinycss2
-  version: 1.2.1
+- name: libarrow-acero
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    python: '>=3.5'
-    webencodings: '>=0.4'
-  url: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.2.1-pyhd8ed1ab_0.tar.bz2
+    libarrow: 15.0.0
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-acero-15.0.0-h59595ed_2_cpu.conda
   hash:
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-    sha256: f0db1a2298a5e10e30f4b947566c7229442834702f549dded40a73ecdea7502d
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+    sha256: 9f4d6efa5aca41337407601e4e451b5f84ac0f0f9e101d2477e9a22c86752b70
   category: main
   optional: false
-- name: tqdm
-  version: 4.65.0
+- name: libarrow-acero
+  version: 15.0.0
   manager: conda
   platform: osx-64
   dependencies:
-    colorama: ''
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/tqdm-4.65.0-pyhd8ed1ab_1.conda
+    libarrow: 15.0.0
+    libcxx: '>=14'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libarrow-acero-15.0.0-h000cb23_2_cpu.conda
   hash:
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-    sha256: b35f185a678109940d34f68ac5781c3cbda9b118b8d9886b8f68ab5be6afd4fc
+    md5: 03e7a31ef2679c53536b23ba81d1892a
+    sha256: 260c883c0315d22808a58c57d35bc4012537d21d7fd2912dbb91007f36da952c
   category: main
   optional: false
-- name: typing-extensions
-  version: 4.6.3
+- name: libarrow-acero
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    typing_extensions: 4.6.3
-  url: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.6.3-hd8ed1ab_0.conda
+    libarrow: 15.0.0
+    libcxx: '>=14'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libarrow-acero-15.0.0-h13dd4ca_2_cpu.conda
   hash:
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-    sha256: d2334dab270e13182403cc3a394e3da8e7acb409e94059a6d9223d2ac053f90a
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+    sha256: 31b3e352bc77ec9fd39ae9929490c70523ae18afc2244dd71fb5732f8d863af4
   category: main
   optional: false
-- name: xerces-c
-  version: 3.2.4
+- name: libarrow-acero
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    icu: '>=72.1,<73.0a0'
-    libcurl: '>=7.88.1,<9.0a0'
-    libcxx: '>=14.0.6'
-  url: https://conda.anaconda.org/conda-forge/osx-64/xerces-c-3.2.4-h90c7484_2.conda
+    libarrow: 15.0.0
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libarrow-acero-15.0.0-h63175ca_2_cpu.conda
   hash:
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-    sha256: f10fb724de7e096ff325b3ae8caa270183bfd65ec407e39d91c1070d664dfb5d
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+    sha256: 534f6a93a57c482c23562b4ff92c113570db139fbcdda350d2a6930ce1f3ff2e
   category: main
   optional: false
-- name: yarl
-  version: 1.9.2
+- name: libarrow-dataset
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    idna: '>=2.0'
-    multidict: '>=4.0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/yarl-1.9.2-py311h2725bcf_0.conda
+    libarrow: 15.0.0
+    libarrow-acero: 15.0.0
+    libgcc-ng: '>=12'
+    libparquet: 15.0.0
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-15.0.0-h59595ed_2_cpu.conda
   hash:
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-    sha256: 984153b2df4c386435538be3c26c2e742150e9be38bb6a74a814729c3a6a2c20
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+    sha256: 487e036ad2a8f1cd34505ee53d169cd369fd6bca103b6bec1fc07526a98b8b5b
   category: main
   optional: false
-- name: aiosqlite
-  version: 0.19.0
+- name: libarrow-dataset
+  version: 15.0.0
   manager: conda
   platform: osx-64
   dependencies:
-    python: '>=3.6'
-    typing-extensions: '>=3.7.2'
-  url: https://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.19.0-pyhd8ed1ab_0.conda
+    libarrow: 15.0.0
+    libarrow-acero: 15.0.0
+    libcxx: '>=14'
+    libparquet: 15.0.0
+  url: https://conda.anaconda.org/conda-forge/osx-64/libarrow-dataset-15.0.0-h000cb23_2_cpu.conda
   hash:
-    md5: c60a47f9f29057417165a8af579396a8
-    sha256: 2f4b4d70244be67f49db02fca06ac5449593fe5c523791d5185d1cbc807a5af6
+    md5: 8efe570ba59daac92a424eefd46f954c
+    sha256: 87df75a0e11dc2f90872fc822ea5b3d556f1800cd10e4f384dacd2212021e21f
   category: main
   optional: false
-- name: argon2-cffi-bindings
-  version: 21.2.0
+- name: libarrow-dataset
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    cffi: '>=1.0.1'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-21.2.0-py311h5547dcb_3.tar.bz2
+    libarrow: 15.0.0
+    libarrow-acero: 15.0.0
+    libcxx: '>=14'
+    libparquet: 15.0.0
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libarrow-dataset-15.0.0-h13dd4ca_2_cpu.conda
   hash:
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-    sha256: ec3cf8f2091e4add30482728917fddc9c5c1fa4e53c68c0ebcac8f043ad3cf11
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   category: main
   optional: false
-- name: async-timeout
-  version: 4.0.2
+- name: libarrow-dataset
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    python: '>=3.6'
-    typing-extensions: '>=3.6.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/async-timeout-4.0.2-pyhd8ed1ab_0.tar.bz2
+    libarrow: 15.0.0
+    libarrow-acero: 15.0.0
+    libparquet: 15.0.0
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libarrow-dataset-15.0.0-h63175ca_2_cpu.conda
   hash:
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-    sha256: a08b78e6fadee1ffac0f255363d2a08a0c589c7403fd2a71c1c0b6aafd5e0737
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+    sha256: 01c63d2da883e67433d73a24bc3d7232f6d41851b60cf5a28944584eca8f3c71
   category: main
   optional: false
-- name: aws-c-auth
-  version: 0.6.28
+- name: libarrow-flight
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-    aws-c-sdkutils: '>=0.1.10,<0.1.11.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-auth-0.6.28-hb1389d5_5.conda
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libarrow: 15.0.0
+    libgcc-ng: '>=12'
+    libgrpc: '>=1.60.0,<1.61.0a0'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    libstdcxx-ng: '>=12'
+    ucx: '>=1.15.0,<1.16.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-flight-15.0.0-hdc44a87_2_cpu.conda
   hash:
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-    sha256: ff8be78c2add76803a56b14b484f3c27e726537245d398936de82afb0e70bf2e
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+    sha256: 95c656bc4c8120924619256939dc51ba1c8d226c757243b4a728c1de6bd1ec93
   category: main
   optional: false
-- name: aws-c-mqtt
-  version: 0.8.13
+- name: libarrow-flight
+  version: 15.0.0
   manager: conda
   platform: osx-64
   dependencies:
-    aws-c-common: '>=0.8.20,<0.8.21.0a0'
-    aws-c-http: '>=0.7.8,<0.7.9.0a0'
-    aws-c-io: '>=0.13.26,<0.13.27.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-mqtt-0.8.13-h4efb563_2.conda
+    __osx: '>=10.13'
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libarrow: 15.0.0
+    libcxx: '>=14'
+    libgrpc: '>=1.60.0,<1.61.0a0'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libarrow-flight-15.0.0-h949774c_2_cpu.conda
   hash:
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-    sha256: 02e805b84a53f392c1aae0cc38b6f87462b4342d3225363266b0f31c2561ccca
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+    sha256: eaf259ad59b306a5e687301f4c8fc609c6f07cbba9389661f27888e579b21743
   category: main
   optional: false
-- name: brotlipy
-  version: 0.7.0
+- name: libarrow-flight
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    cffi: '>=1.0.0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/brotlipy-0.7.0-py311h5547dcb_1005.tar.bz2
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libarrow: 15.0.0
+    libcxx: '>=14'
+    libgrpc: '>=1.60.0,<1.61.0a0'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libarrow-flight-15.0.0-h7c660a6_2_cpu.conda
   hash:
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-    sha256: a203fc8595377e74ba47ef8e11d77346a8ad7ca9d92833002a8fd12d050f82e5
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+    sha256: 6f545baa7af0ce7f9745f22178400fca90dd7f6b5ead8b51a610a8398d0383fe
   category: main
   optional: false
-- name: cryptography
-  version: 41.0.1
+- name: libarrow-flight
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    cffi: '>=1.12'
-    openssl: '>=3.1.1,<4.0a0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/cryptography-41.0.1-py311h892b619_0.conda
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libarrow: 15.0.0
+    libgrpc: '>=1.60.0,<1.61.0a0'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libarrow-flight-15.0.0-he112ba8_2_cpu.conda
   hash:
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-    sha256: bc51bff6253a62c4705be526d1ca36bf82a0cd2eeb05a4a4abc9e420d45b26e9
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+    sha256: 9532feabdf08cd089fdbaf34f048f0176873b903c1e856e773791cdbfbd536b1
   category: main
   optional: false
-- name: geotiff
-  version: 1.7.1
+- name: libarrow-flight-sql
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    libcxx: '>=15.0.7'
-    libjpeg-turbo: '>=2.1.5.1,<3.0a0'
-    libtiff: '>=4.5.0,<4.6.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    proj: '>=9.2.1,<9.2.2.0a0'
-    zlib: ''
-  url: https://conda.anaconda.org/conda-forge/osx-64/geotiff-1.7.1-h5cf5d3c_9.conda
+    libarrow: 15.0.0
+    libarrow-flight: 15.0.0
+    libgcc-ng: '>=12'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-flight-sql-15.0.0-hfbc7f12_2_cpu.conda
   hash:
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-    sha256: a32592d6337fc0c90a7825312cc3a33e18cb59dc8e8189dfa581b68fdc7edf4c
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+    sha256: ffe342e9fc4f570d8c491582a1d77781f05d5321fab665de79a7db2b588ef573
   category: main
   optional: false
-- name: google-crc32c
-  version: 1.1.2
+- name: libarrow-flight-sql
+  version: 15.0.0
   manager: conda
   platform: osx-64
   dependencies:
-    cffi: '>=1.0.0'
-    libcrc32c: '>=1.1.2,<1.2.0a0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/google-crc32c-1.1.2-py311h0669569_4.tar.bz2
+    __osx: '>=10.13'
+    libarrow: 15.0.0
+    libarrow-flight: 15.0.0
+    libcxx: '>=14'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libarrow-flight-sql-15.0.0-he85462c_2_cpu.conda
   hash:
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-    sha256: 26c5a7314e99ead2d0b0a1db9855d718f47d4cbb49b287b26321cb920d63e3e1
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+    sha256: 5756362693fb78d8f00a6a139dfca744ba3e16b6ea517fb4cbdc6d46475483dc
   category: main
   optional: false
-- name: googleapis-common-protos
-  version: 1.59.1
+- name: libarrow-flight-sql
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    python: '>=3.7'
-    protobuf: '>=3.19.5,<5.0.0dev0,!=3.20.0,!=3.20.1,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.59.1-pyhd8ed1ab_0.conda
+    libarrow: 15.0.0
+    libarrow-flight: 15.0.0
+    libcxx: '>=14'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libarrow-flight-sql-15.0.0-h6dff610_2_cpu.conda
   hash:
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-    sha256: ae63abdd006dd43854ca08220ee4f7305626bca032631b9d5037aef8e1c65c0a
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+    sha256: d769c352dd13e6593e3d82724886c39846c4189e5939c5ac42641a1f03436026
   category: main
   optional: false
-- name: harfbuzz
-  version: 7.3.0
+- name: libarrow-flight-sql
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    cairo: '>=1.16.0,<2.0a0'
-    freetype: '>=2.12.1,<3.0a0'
-    graphite2: ''
-    icu: '>=72.1,<73.0a0'
-    libcxx: '>=15.0.7'
-    libglib: '>=2.76.2,<3.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/harfbuzz-7.3.0-h413ba03_0.conda
+    libarrow: 15.0.0
+    libarrow-flight: 15.0.0
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libarrow-flight-sql-15.0.0-h8f0bfdc_2_cpu.conda
   hash:
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-    sha256: 694dacf9977452654a920014406db5f4212191abce52191caa3c7cfcd376a5ce
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   category: main
   optional: false
-- name: importlib_metadata
-  version: 6.7.0
+- name: libarrow-gandiva
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    importlib-metadata: '>=6.7.0,<6.7.1.0a0'
-  url: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-6.7.0-hd8ed1ab_0.conda
+    libarrow: 15.0.0
+    libgcc-ng: '>=12'
+    libllvm15: '>=15.0.7,<15.1.0a0'
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libstdcxx-ng: '>=12'
+    libutf8proc: '>=2.8.0,<3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    re2: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-gandiva-15.0.0-hacb8726_2_cpu.conda
   hash:
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-    sha256: f46d34a06e63f220dd04f7ac211dd2b4812b6b8a9e851467cd2e0218174d2dfd
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+    sha256: a5db33832e07e1a1cfff0069cf2bdf10b3f16209282b3d34a7eb5fec260b1134
   category: main
   optional: false
-- name: jsonschema
-  version: 4.17.3
+- name: libarrow-gandiva
+  version: 15.0.0
   manager: conda
   platform: osx-64
   dependencies:
-    typing_extensions: ''
-    importlib-metadata: ''
-    python: '>=3.7'
-    attrs: '>=17.4.0'
-    pyrsistent: '!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0'
-    importlib_resources: '>=1.4.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.17.3-pyhd8ed1ab_0.conda
+    libarrow: 15.0.0
+    libcxx: '>=14'
+    libllvm15: '>=15.0.7,<15.1.0a0'
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libutf8proc: '>=2.8.0,<3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    re2: ''
+  url: https://conda.anaconda.org/conda-forge/osx-64/libarrow-gandiva-15.0.0-h01dce7f_2_cpu.conda
   hash:
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-    sha256: 4f68a23430d1afc5c9b41c46fbac0ade33c0bf57a293c646bfdd6dc65350eada
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+    sha256: f4c106381dd83d931b159e2f99adf21ea416741843066778ecac1e2767b4e8e1
   category: main
   optional: false
-- name: jupyter_server_terminals
-  version: 0.4.4
+- name: libarrow-gandiva
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    python: '>=3.8'
-    terminado: '>=0.8.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.4.4-pyhd8ed1ab_1.conda
+    libarrow: 15.0.0
+    libcxx: '>=14'
+    libllvm15: '>=15.0.7,<15.1.0a0'
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libutf8proc: '>=2.8.0,<3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    re2: ''
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libarrow-gandiva-15.0.0-hf757142_2_cpu.conda
   hash:
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-    sha256: 9f4c5fef9beef9fceed628db7a10b888f3308b37ae257ad3d50046088317ebf1
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+    sha256: d3c0f787ae365524bc1f8bc81c87276896e54519ae08cb447b1347f3d061c719
   category: main
   optional: false
-- name: kealib
-  version: 1.5.1
+- name: libarrow-gandiva
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    hdf5: '>=1.14.0,<1.14.1.0a0'
-    libcxx: '>=15.0.7'
-  url: https://conda.anaconda.org/conda-forge/osx-64/kealib-1.5.1-hde10d81_3.conda
+    libarrow: 15.0.0
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libutf8proc: '>=2.8.0,<3.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    re2: ''
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libarrow-gandiva-15.0.0-hb2eaab1_2_cpu.conda
   hash:
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-    sha256: b3a47cf7c44b99d205cde455d0caa7e551af05262b916e8c1ae2d0747ea441d6
+    md5: 5c4ae8956e92997685b42be74944bd17
+    sha256: ee6e7efb6aac53c780b9ffd7e6573d43d9cbcf76a4223c4ff129a94ff627fc3e
   category: main
   optional: false
-- name: libcblas
-  version: 3.9.0
+- name: libarrow-substrait
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-17_osx64_openblas.conda
+    libarrow: 15.0.0
+    libarrow-acero: 15.0.0
+    libarrow-dataset: 15.0.0
+    libgcc-ng: '>=12'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-15.0.0-hfbc7f12_2_cpu.conda
   hash:
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+    sha256: e81cc5e7025ee02d971ded36c6030f65dfae044b7184fb9c75cb11451278e690
   category: main
   optional: false
-- name: liblapack
-  version: 3.9.0
+- name: libarrow-substrait
+  version: 15.0.0
   manager: conda
   platform: osx-64
   dependencies:
-    libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-17_osx64_openblas.conda
+    __osx: '>=10.13'
+    libarrow: 15.0.0
+    libarrow-acero: 15.0.0
+    libarrow-dataset: 15.0.0
+    libcxx: '>=14'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libarrow-substrait-15.0.0-he85462c_2_cpu.conda
   hash:
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-    sha256: 7ce76f3e9578b62fbd88c094f343c1b09ec3466afccfc08347d31742e6831e97
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+    sha256: ba5c4f20a49c59fbc314a4e599c3e02c68369f4575aee35b5bf6f89efa820e7c
   category: main
   optional: false
-- name: libnetcdf
-  version: 4.9.2
+- name: libarrow-substrait
+  version: 15.0.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    blosc: '>=1.21.4,<2.0a0'
-    bzip2: '>=1.0.8,<2.0a0'
-    curl: ''
-    hdf4: '>=4.2.15,<4.2.16.0a0'
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+    libarrow-acero: 15.0.0
+    libarrow-dataset: 15.0.0
+    libcxx: '>=14'
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-- name: libspatialite
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   manager: conda
-  platform: osx-64
+  platform: win-64
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-- name: markdown
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: mdit-py-plugins
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   manager: conda
   platform: osx-64
   dependencies:
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-- name: platformdirs
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+  version: 3.9.0
   manager: conda
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+  platform: osx-arm64
   dependencies:
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-    typing-extensions: '>=4.6.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-3.8.0-pyhd8ed1ab_0.conda
+    libopenblas: '>=0.3.26,<1.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libblas-3.9.0-21_osxarm64_openblas.conda
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-- name: poppler
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   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/poppler-23.05.0-he041c3a_1.conda
+    mkl: 2024.0.0
+  url: https://conda.anaconda.org/conda-forge/win-64/libblas-3.9.0-21_win64_mkl.conda
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   category: main
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-- name: pybtex
-  version: 0.24.0
+- name: libboost-headers
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   manager: conda
-  platform: osx-64
-  dependencies:
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-    six: ''
-    python: '>=3.6'
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-  url: https://conda.anaconda.org/conda-forge/noarch/pybtex-0.24.0-pyhd8ed1ab_2.tar.bz2
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/libboost-headers-1.84.0-ha770c72_1.conda
   hash:
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-- name: pyobjc-framework-cocoa
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   manager: conda
   platform: osx-64
-  dependencies:
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-    pyobjc-core: 9.2.*
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-  url: https://conda.anaconda.org/conda-forge/osx-64/pyobjc-framework-cocoa-9.2-py311hf110eff_0.conda
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-64/libboost-headers-1.84.0-h694c41f_1.conda
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-- name: pyproj
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   manager: conda
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-  dependencies:
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-    proj: '>=9.2.1,<9.2.2.0a0'
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-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/pyproj-3.6.0-py311h854a015_1.conda
+  platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libboost-headers-1.84.0-hce30654_1.conda
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-- name: sqlalchemy
-  version: 2.0.16
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   manager: conda
-  platform: osx-64
-  dependencies:
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-    python: '>=3.11,<3.12.0a0'
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-  url: https://conda.anaconda.org/conda-forge/osx-64/sqlalchemy-2.0.16-py311h2725bcf_0.conda
+  platform: win-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/win-64/libboost-headers-1.84.0-h57928b3_1.conda
   hash:
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   optional: false
-- name: stack_data
-  version: 0.6.2
+- name: libbrotlicommon
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   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-    asttokens: ''
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-    python: '>=3.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hd590300_1.conda
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   optional: false
-- name: tiledb
-  version: 2.13.2
+- name: libbrotlicommon
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   manager: conda
   platform: osx-64
-  dependencies:
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-    libcxx: '>=14.0.6'
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-  url: https://conda.anaconda.org/conda-forge/osx-64/tiledb-2.13.2-h8b9cbf0_0.conda
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlicommon-1.1.0-h0dc2134_1.conda
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-- name: ukkonen
-  version: 1.0.1
+- name: libbrotlicommon
+  version: 1.1.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlicommon-1.1.0-hb547adb_1.conda
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+- name: libbrotlicommon
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   dependencies:
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-    libcxx: '>=14.0.4'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/ukkonen-1.0.1-py311hd2070f0_3.tar.bz2
+    ucrt: '>=10.0.20348.0'
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   optional: false
-- name: wcwidth
-  version: 0.2.6
+- name: libbrotlidec
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   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.6-pyhd8ed1ab_0.conda
+    libbrotlicommon: 1.1.0
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hd590300_1.conda
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   optional: false
-- name: aiohttp
-  version: 3.8.4
+- name: libbrotlidec
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   manager: conda
   platform: osx-64
   dependencies:
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-    async-timeout: <5.0,>=4.0.0a3
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-  url: https://conda.anaconda.org/conda-forge/osx-64/aiohttp-3.8.4-py311h2725bcf_1.conda
+    libbrotlicommon: 1.1.0
+  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlidec-1.1.0-h0dc2134_1.conda
   hash:
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   optional: false
-- name: argon2-cffi
-  version: 21.3.0
+- name: libbrotlidec
+  version: 1.1.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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-    python: '>=3.6'
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-  url: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-21.3.0-pyhd8ed1ab_0.tar.bz2
+    libbrotlicommon: 1.1.0
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlidec-1.1.0-hb547adb_1.conda
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   category: main
   optional: false
-- name: aws-c-s3
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+- name: libbrotlidec
+  version: 1.1.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-64/aws-c-s3-0.3.4-hefe73a3_5.conda
+    libbrotlicommon: 1.1.0
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libbrotlidec-1.1.0-hcfcfb64_1.conda
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   optional: false
-- name: dask-core
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+- name: libbrotlienc
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   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-    packaging: '>=20.0'
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-    importlib_metadata: '>=4.13.0'
-    fsspec: '>=2021.09.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.6.1-pyhd8ed1ab_0.conda
+    libbrotlicommon: 1.1.0
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hd590300_1.conda
   hash:
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-    sha256: cdb169b7c6cdacc659f92e8934e6b67f2b1e889926ce4207b83e70628bbb5813
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+    sha256: f751b8b1c4754a2a8dfdc3b4040fa7818f35bbf6b10e905a47d3a194b746b071
   category: main
   optional: false
-- name: google-resumable-media
-  version: 2.5.0
+- name: libbrotlienc
+  version: 1.1.0
   manager: conda
   platform: osx-64
   dependencies:
-    python: '>=3.7'
-    google-crc32c: '>=1.0,<2.0.0dev'
-  url: https://conda.anaconda.org/conda-forge/noarch/google-resumable-media-2.5.0-pyhd8ed1ab_0.conda
+    libbrotlicommon: 1.1.0
+  url: https://conda.anaconda.org/conda-forge/osx-64/libbrotlienc-1.1.0-h0dc2134_1.conda
   hash:
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-    sha256: 2f87fd97cf9ce7aa78b8b54dbcc00595a14506e1602ee4df0000cae49dd7e3ef
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   category: main
   optional: false
-- name: identify
-  version: 2.5.24
+- name: libbrotlienc
+  version: 1.1.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    ukkonen: ''
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.24-pyhd8ed1ab_0.conda
+    libbrotlicommon: 1.1.0
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlienc-1.1.0-hb547adb_1.conda
   hash:
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-    sha256: 4027103c59220a68b41aed056d2ce89d46e4971033d259293ca07198a8a81fdc
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   category: main
   optional: false
-- name: jupyter_core
-  version: 5.3.1
+- name: libbrotlienc
+  version: 1.1.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    platformdirs: '>=2.5'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-    traitlets: '>=5.3'
-  url: https://conda.anaconda.org/conda-forge/osx-64/jupyter_core-5.3.1-py311h6eed73b_0.conda
+    libbrotlicommon: 1.1.0
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libbrotlienc-1.1.0-hcfcfb64_1.conda
   hash:
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-    sha256: 90045f63ca46c1cd66c55e7a3fce41f9719c82ec30cedc608d368fbde67b9265
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+    sha256: eae6b76154e594c6d211160c6d1aeed848672618152a562e0eabdfa641d34aca
   category: main
   optional: false
-- name: jupyter_events
-  version: 0.6.3
+- name: libcblas
+  version: 3.9.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    rfc3339-validator: ''
-    python: '>=3.7'
-    pyyaml: '>=5.3'
-    rfc3986-validator: '>=0.1.1'
-    traitlets: '>=5.3'
-    jsonschema: '>=3.2'
-    python-json-logger: '>=2.0.4'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.6.3-pyhd8ed1ab_0.conda
+    libblas: 3.9.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-21_linux64_openblas.conda
   hash:
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+    sha256: 467bbfbfe1a1aeb8b1f9f6485eedd8ed1b6318941bf3702da72336ccf4dc25a6
   category: main
   optional: false
-- name: jupyter_ydoc
-  version: 0.2.4
+- name: libcblas
+  version: 3.9.0
   manager: conda
   platform: osx-64
   dependencies:
-    python: '>=3.7'
-    importlib_metadata: '>=3.6'
-    y-py: '>=0.5.3,<0.6.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_ydoc-0.2.4-pyhd8ed1ab_0.conda
+    libblas: 3.9.0
+  url: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-21_osx64_openblas.conda
   hash:
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+    sha256: e2b1455612d4cfb3ac3170f0c538516ebd0b113780ac6603338245354e1b2f02
   category: main
   optional: false
-- name: libgdal
-  version: 3.7.0
+- name: libcblas
+  version: 3.9.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    blosc: '>=1.21.4,<2.0a0'
-    cfitsio: '>=4.2.0,<4.2.1.0a0'
-    freexl: '>=1.0.6,<2.0a0'
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-    libarchive: '>=3.6.2,<3.7.0a0'
-    libcurl: '>=8.1.2,<9.0a0'
-    libcxx: '>=15.0.7'
-    libdeflate: '>=1.18,<1.19.0a0'
-    libexpat: '>=2.5.0,<3.0a0'
-    libiconv: '>=1.17,<2.0a0'
-    libjpeg-turbo: '>=2.1.5.1,<3.0a0'
-    libkml: '>=1.3.0,<1.4.0a0'
-    libnetcdf: '>=4.9.2,<4.9.3.0a0'
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-    libpq: '>=15.3,<16.0a0'
-    libspatialite: '>=5.0.1,<5.1.0a0'
-    libsqlite: '>=3.42.0,<4.0a0'
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-    libwebp-base: '>=1.3.0,<2.0a0'
-    libxml2: '>=2.11.4,<2.12.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    lz4-c: '>=1.9.3,<1.10.0a0'
-    openjpeg: '>=2.5.0,<3.0a0'
-    openssl: '>=3.1.1,<4.0a0'
-    pcre2: '>=10.40,<10.41.0a0'
-    poppler: '>=23.5.0,<23.6.0a0'
-    postgresql: ''
-    proj: '>=9.2.1,<9.2.2.0a0'
-    tiledb: '>=2.13.2,<2.14.0a0'
-    xerces-c: '>=3.2.4,<3.3.0a0'
-    xz: '>=5.2.6,<6.0a0'
-    zstd: '>=1.5.2,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/libgdal-3.7.0-heafcddf_2.conda
+    libblas: 3.9.0
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-21_osxarm64_openblas.conda
   hash:
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-    sha256: 2d5f8ff54d9c910c3447ea1067dd7c4a52af8516db259a9a223e0de1bf240c77
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   category: main
   optional: false
-- name: numpy
-  version: 1.24.4
+- name: libcblas
+  version: 3.9.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    libblas: '>=3.9.0,<4.0a0'
-    libcblas: '>=3.9.0,<4.0a0'
-    libcxx: '>=15.0.7'
-    liblapack: '>=3.9.0,<4.0a0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.24.4-py311hc44ba51_0.conda
+    libblas: 3.9.0
+  url: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-21_win64_mkl.conda
   hash:
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-    sha256: be6fa93501c16a0e7075b85c6a9010856e0e5b4d80582054450f33f1c39e5226
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+    sha256: 886505d0a4a5b508b2255991395aadecdad140719ba0d413411fec86491a9283
   category: main
   optional: false
-- name: oauthlib
-  version: 3.2.2
+- name: libcrc32c
+  version: 1.1.2
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    cryptography: ''
-    blinker: ''
-    python: '>=3.6'
-    pyjwt: '>=1.0.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/oauthlib-3.2.2-pyhd8ed1ab_0.tar.bz2
+    libgcc-ng: '>=9.4.0'
+    libstdcxx-ng: '>=9.4.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcrc32c-1.1.2-h9c3ff4c_0.tar.bz2
   hash:
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-    sha256: 0cfd5146a91d3974f4abfc2a45de890371d510a77238fe553e036ec8c031dc5b
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+    sha256: fd1d153962764433fe6233f34a72cdeed5dcf8a883a85769e8295ce940b5b0c5
   category: main
   optional: false
-- name: pango
-  version: 1.50.14
+- name: libcrc32c
+  version: 1.1.2
   manager: conda
   platform: osx-64
   dependencies:
-    cairo: '>=1.16.0,<2.0a0'
-    fontconfig: '>=2.14.2,<3.0a0'
-    fonts-conda-ecosystem: ''
-    freetype: '>=2.12.1,<3.0a0'
-    fribidi: '>=1.0.10,<2.0a0'
-    harfbuzz: '>=7.1.0,<8.0a0'
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-    libpng: '>=1.6.39,<1.7.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/pango-1.50.14-hbce5e75_1.conda
+    libcxx: '>=11.1.0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libcrc32c-1.1.2-he49afe7_0.tar.bz2
   hash:
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-    sha256: 842df6f67cd4efa31f02142c009b6d5630eafe5825121a3ac2e04b17c6b17c10
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   category: main
   optional: false
-- name: prompt-toolkit
-  version: 3.0.38
+- name: libcrc32c
+  version: 1.1.2
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    wcwidth: ''
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.38-pyha770c72_0.conda
+    libcxx: '>=11.1.0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libcrc32c-1.1.2-hbdafb3b_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: pybtex-docutils
-  version: 1.0.2
+- name: libcrc32c
+  version: 1.1.2
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    docutils: '>=0.8'
-    pybtex: '>=0.16'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-    setuptools: ''
-  url: https://conda.anaconda.org/conda-forge/osx-64/pybtex-docutils-1.0.2-py311h6eed73b_2.tar.bz2
+    vc: '>=14.1,<15.0a0'
+    vs2015_runtime: '>=14.16.27012'
+  url: https://conda.anaconda.org/conda-forge/win-64/libcrc32c-1.1.2-h0e60522_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: pyopenssl
-  version: 23.2.0
+- name: libcurl
+  version: 8.5.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    python: '>=3.6'
-    cryptography: '>=38.0.0,<42,!=40.0.0,!=40.0.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-23.2.0-pyhd8ed1ab_1.conda
+    krb5: '>=1.21.2,<1.22.0a0'
+    libgcc-ng: '>=12'
+    libnghttp2: '>=1.58.0,<2.0a0'
+    libssh2: '>=1.11.0,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.5.0-hca28451_0.conda
   hash:
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   category: main
   optional: false
-- name: send2trash
-  version: 1.8.2
+- name: libcurl
+  version: 8.5.0
   manager: conda
   platform: osx-64
   dependencies:
-    __osx: ''
-    pyobjc-framework-cocoa: ''
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/send2trash-1.8.2-pyhd1c38e8_0.conda
+    krb5: '>=1.21.2,<1.22.0a0'
+    libnghttp2: '>=1.58.0,<2.0a0'
+    libssh2: '>=1.11.0,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libcurl-8.5.0-h726d00d_0.conda
   hash:
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-    sha256: dca4022bae47618ed738ab7d45ead5202d174b741cfb98e4484acdc6e76da32a
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+    sha256: 7ec7e026be90da0965dfa6b92bbc905c852c13b27f3f83c47156db66ed0668f0
   category: main
   optional: false
-- name: virtualenv
-  version: 20.23.1
+- name: libcurl
+  version: 8.5.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    python: '>=3.8'
-    distlib: <1,>=0.3.6
-    filelock: <4,>=3.12
-    platformdirs: <4,>=3.5.1
-  url: https://conda.anaconda.org/conda-forge/noarch/virtualenv-20.23.1-pyhd8ed1ab_0.conda
+    krb5: '>=1.21.2,<1.22.0a0'
+    libnghttp2: '>=1.58.0,<2.0a0'
+    libssh2: '>=1.11.0,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libcurl-8.5.0-h2d989ff_0.conda
   hash:
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-    sha256: 92dd17aef10e5c35289da3a588cbed3e593c22ee53478a00ccb1fdf92fe0e84e
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   category: main
   optional: false
-- name: ypy-websocket
-  version: 0.8.2
+- name: libcurl
+  version: 8.5.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    python: '>=3.7'
-    aiosqlite: '>=0.17.0,<1'
-    y-py: '>=0.5.3,<0.6.0'
-    aiofiles: '>=22.1.0,<23'
-  url: https://conda.anaconda.org/conda-forge/noarch/ypy-websocket-0.8.2-pyhd8ed1ab_0.conda
+    krb5: '>=1.21.2,<1.22.0a0'
+    libssh2: '>=1.11.0,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libcurl-8.5.0-hd5e4a3a_0.conda
   hash:
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-    sha256: 330b8ecf5bc4c79f7571a40d2e108bac3d2354bab3ab8a7124dfd8fe3ddbfd86
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+    sha256: 8c933416c61445ab51515a5ca8c32ddc4f83180d5dc43684e4a80915022ffe1f
   category: main
   optional: false
-- name: aws-crt-cpp
-  version: 0.20.2
+- name: libcxx
+  version: 16.0.6
   manager: conda
   platform: osx-64
-  dependencies:
-    aws-c-auth: '>=0.6.28,<0.6.29.0a0'
-    aws-c-cal: '>=0.5.27,<0.5.28.0a0'
-    aws-c-common: '>=0.8.20,<0.8.21.0a0'
-    aws-c-event-stream: '>=0.3.0,<0.3.1.0a0'
-    aws-c-http: '>=0.7.8,<0.7.9.0a0'
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   manager: conda
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-- name: numcodecs
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-- name: pre-commit
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   manager: conda
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   dependencies:
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-- name: prompt_toolkit
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-- name: shapely
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-- name: snuggs
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   manager: conda
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   dependencies:
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-- name: urllib3
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   dependencies:
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-- name: aws-sdk-cpp
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-- name: bokeh
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   category: main
   optional: false
-- name: distributed
-  version: 2023.6.1
+- name: libexpat
+  version: 2.5.0
   manager: conda
-  platform: osx-64
-  dependencies:
-    python: '>=3.9'
-    packaging: '>=20.0'
-    pyyaml: '>=5.3.1'
-    cloudpickle: '>=1.5.0'
-    urllib3: '>=1.24.3'
-    click: '>=8.0'
-    msgpack-python: '>=1.0.0'
-    toolz: '>=0.10.0'
-    tblib: '>=1.6.0'
-    jinja2: '>=2.10.3'
-    tornado: '>=6.0.4'
-    locket: '>=1.0.0'
-    sortedcontainers: '>=2.0.5'
-    cytoolz: '>=0.10.1'
-    zict: '>=2.2.0'
-    psutil: '>=5.7.2'
-    dask-core: '>=2023.6.1,<2023.6.2.0a0'
-  url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.6.1-pyhd8ed1ab_0.conda
+  platform: win-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/win-64/libexpat-2.5.0-h63175ca_1.conda
   hash:
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-    sha256: 5e12c88e14554cfdd8d5173bd2935cfe4e5bdc3a89fb7b8435c8835810b0dbda
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+    sha256: 794b2a9be72f176a2767c299574d330ffb76b2ed75d7fd20bee3bbadce5886cf
   category: main
   optional: false
-- name: graphviz
-  version: 8.0.5
+- name: libffi
+  version: 3.4.2
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    cairo: '>=1.16.0,<2.0a0'
-    expat: ''
-    fontconfig: '>=2.14.2,<3.0a0'
-    fonts-conda-ecosystem: ''
-    freetype: '>=2.12.1,<3.0a0'
-    gdk-pixbuf: '>=2.42.10,<3.0a0'
-    gtk2: ''
-    gts: '>=0.7.6,<0.8.0a0'
-    libcxx: '>=15.0.7'
-    libexpat: '>=2.5.0,<3.0a0'
-    libgd: '>=2.3.3,<2.4.0a0'
-    libglib: '>=2.76.2,<3.0a0'
-    librsvg: '>=2.56.0,<3.0a0'
-    libtool: ''
-    libwebp-base: '>=1.3.0,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    pango: '>=1.50.14,<2.0a0'
-    zlib: ''
-  url: https://conda.anaconda.org/conda-forge/osx-64/graphviz-8.0.5-hc7f41f9_0.conda
+    libgcc-ng: '>=9.4.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2
   hash:
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-    sha256: f73c11ad9f589fd75c755ddaf021cbed4546716547d757f80c058377eb226952
+    md5: d645c6d2ac96843a2bfaccd2d62b3ac3
+    sha256: ab6e9856c21709b7b517e940ae7028ae0737546122f83c2aa5d692860c3b149e
   category: main
   optional: false
-- name: ipython
-  version: 8.14.0
+- name: libffi
+  version: 3.4.2
   manager: conda
   platform: osx-64
-  dependencies:
-    typing_extensions: ''
-    decorator: ''
-    __osx: ''
-    stack_data: ''
-    matplotlib-inline: ''
-    backcall: ''
-    appnope: ''
-    pickleshare: ''
-    python: '>=3.9'
-    traitlets: '>=5'
-    pygments: '>=2.4.0'
-    jedi: '>=0.16'
-    pexpect: '>4.3'
-    prompt_toolkit: '>=3.0.30,<3.1.0,!=3.0.37'
-  url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.14.0-pyhd1c38e8_0.conda
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-64/libffi-3.4.2-h0d85af4_5.tar.bz2
   hash:
-    md5: f56fab4cea853c2248105b6cd7d79bf0
-    sha256: ea7524cd33c18c5c0d01e48e0089f339e7e8f1c3a6a8d2416c46b3d50d509894
+    md5: ccb34fb14960ad8b125962d3d79b31a9
+    sha256: 7a2d27a936ceee6942ea4d397f9c7d136f12549d86f7617e8b6bad51e01a941f
   category: main
   optional: false
-- name: matplotlib-base
-  version: 3.7.1
+- name: libffi
+  version: 3.4.2
   manager: conda
-  platform: osx-64
-  dependencies:
-    __osx: '>=10.12'
-    certifi: '>=2020.06.20'
-    contourpy: '>=1.0.1'
-    cycler: '>=0.10'
-    fonttools: '>=4.22.0'
+  platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libffi-3.4.2-h3422bc3_5.tar.bz2
+  hash:
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+    sha256: 41b3d13efb775e340e4dba549ab5c029611ea6918703096b2eaa9c015c0750ca
+  category: main
+  optional: false
+- name: libffi
+  version: 3.4.2
+  manager: conda
+  platform: win-64
+  dependencies:
+    vc: '>=14.1,<15.0a0'
+    vs2015_runtime: '>=14.16.27012'
+  url: https://conda.anaconda.org/conda-forge/win-64/libffi-3.4.2-h8ffe710_5.tar.bz2
+  hash:
+    md5: 2c96d1b6915b408893f9472569dee135
+    sha256: 1951ab740f80660e9bc07d2ed3aefb874d78c107264fd810f24a1a6211d4b1a5
+  category: main
+  optional: false
+- name: libgcc-ng
+  version: 13.2.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    _libgcc_mutex: '0.1'
+    _openmp_mutex: '>=4.5'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h807b86a_5.conda
+  hash:
+    md5: d4ff227c46917d3b4565302a2bbb276b
+    sha256: d32f78bfaac282cfe5205f46d558704ad737b8dbf71f9227788a5ca80facaba4
+  category: main
+  optional: false
+- name: libgd
+  version: 2.3.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    expat: ''
+    fontconfig: '>=2.14.2,<3.0a0'
+    fonts-conda-ecosystem: ''
     freetype: '>=2.12.1,<3.0a0'
-    kiwisolver: '>=1.0.1'
-    libcxx: '>=14.0.6'
-    numpy: '>=1.23.5,<2.0a0'
-    packaging: '>=20.0'
-    pillow: '>=6.2.0'
-    pyparsing: '>=2.3.1'
-    python: '>=3.11,<3.12.0a0'
-    python-dateutil: '>=2.7'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/matplotlib-base-3.7.1-py311h2bf763f_0.conda
+    icu: '>=73.2,<74.0a0'
+    libexpat: '>=2.5.0,<3.0a0'
+    libgcc-ng: '>=12'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libpng: '>=1.6.39,<1.7.0a0'
+    libtiff: '>=4.6.0,<4.7.0a0'
+    libwebp: ''
+    libwebp-base: '>=1.3.2,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    zlib: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgd-2.3.3-h119a65a_9.conda
   hash:
-    md5: d67ac9c9b834ae77ff7b2c59f702803c
-    sha256: 9733644a178cd3911676b0065ed24d5dda0ca7a10d60f124a63fef02a5433861
+    md5: cfebc557e54905dadc355c0e9f003004
+    sha256: b74f95a6e1f3b31a74741b39cba83ed99fc82d17243c0fd3b5ab16ddd48ab89d
   category: main
   optional: false
-- name: nbclient
-  version: 0.7.4
+- name: libgd
+  version: 2.3.3
   manager: conda
   platform: osx-64
   dependencies:
-    python: '>=3.7'
-    jupyter_client: '>=6.1.12'
-    jupyter_core: '>=4.12,!=5.0.*'
-    nbformat: '>=5.1'
-    traitlets: '>=5.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.4-pyhd8ed1ab_0.conda
+    expat: ''
+    fontconfig: '>=2.14.2,<3.0a0'
+    fonts-conda-ecosystem: ''
+    freetype: '>=2.12.1,<3.0a0'
+    icu: '>=73.2,<74.0a0'
+    libexpat: '>=2.5.0,<3.0a0'
+    libiconv: '>=1.17,<2.0a0'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libpng: '>=1.6.39,<1.7.0a0'
+    libtiff: '>=4.6.0,<4.7.0a0'
+    libwebp: ''
+    libwebp-base: '>=1.3.2,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    zlib: ''
+  url: https://conda.anaconda.org/conda-forge/osx-64/libgd-2.3.3-h0dceb68_9.conda
   hash:
-    md5: f7aa15f77d29b11caa1df1eb15383c59
-    sha256: f26afcbbdd4bd1245db514c6ebc6ef18cc12067145dcab229b6f88653575d44c
+    md5: 1feb43971521d430bf826f8398598c5b
+    sha256: 4ed8546ff3356fc42f0e155446a060b14ee4aa96802e2da586532861deb3b917
   category: main
   optional: false
-- name: netcdf4
-  version: 1.6.4
+- name: libgd
+  version: 2.3.3
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    expat: ''
+    fontconfig: '>=2.14.2,<3.0a0'
+    fonts-conda-ecosystem: ''
+    freetype: '>=2.12.1,<3.0a0'
+    icu: '>=73.2,<74.0a0'
+    libexpat: '>=2.5.0,<3.0a0'
+    libiconv: '>=1.17,<2.0a0'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libpng: '>=1.6.39,<1.7.0a0'
+    libtiff: '>=4.6.0,<4.7.0a0'
+    libwebp: ''
+    libwebp-base: '>=1.3.2,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    zlib: ''
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libgd-2.3.3-hfdf3952_9.conda
+  hash:
+    md5: 0d847466f115fbdaaf2b6926f2e33278
+    sha256: cfdecfaa27807abc2728bd8c60b923ce1b44020553e122e9a56fc3acb77acaec
+  category: main
+  optional: false
+- name: libgd
+  version: 2.3.3
+  manager: conda
+  platform: win-64
+  dependencies:
+    expat: ''
+    fontconfig: '>=2.14.2,<3.0a0'
+    fonts-conda-ecosystem: ''
+    freetype: '>=2.12.1,<3.0a0'
+    icu: '>=73.2,<74.0a0'
+    libexpat: '>=2.5.0,<3.0a0'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libpng: '>=1.6.39,<1.7.0a0'
+    libtiff: '>=4.6.0,<4.7.0a0'
+    libwebp: ''
+    libwebp-base: '>=1.3.2,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+    xorg-libxpm: '>=3.5.16,<4.0a0'
+    zlib: ''
+  url: https://conda.anaconda.org/conda-forge/win-64/libgd-2.3.3-h312136b_9.conda
+  hash:
+    md5: 69c987e1f9268d9ade86497c4ab8cc45
+    sha256: fa75f4206eb9cd8e5e24fe1b6381a7450cfcb507c42813fd028a924a4872bc76
+  category: main
+  optional: false
+- name: libgdal
+  version: 3.8.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    blosc: '>=1.21.5,<2.0a0'
+    cfitsio: '>=4.3.1,<4.3.2.0a0'
+    freexl: '>=2.0.0,<3.0a0'
+    geos: '>=3.12.1,<3.12.2.0a0'
+    geotiff: '>=1.7.1,<1.8.0a0'
+    giflib: '>=5.2.1,<5.3.0a0'
+    hdf4: '>=4.2.15,<4.2.16.0a0'
+    hdf5: '>=1.14.3,<1.14.4.0a0'
+    json-c: '>=0.17,<0.18.0a0'
+    kealib: '>=1.5.3,<1.6.0a0'
+    lerc: '>=4.0.0,<5.0a0'
+    libaec: '>=1.1.2,<2.0a0'
+    libarchive: '>=3.7.2,<3.8.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libdeflate: '>=1.19,<1.20.0a0'
+    libexpat: '>=2.5.0,<3.0a0'
+    libgcc-ng: '>=12'
+    libiconv: '>=1.17,<2.0a0'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libkml: '>=1.3.0,<1.4.0a0'
+    libnetcdf: '>=4.9.2,<4.9.3.0a0'
+    libpng: '>=1.6.42,<1.7.0a0'
+    libpq: '>=16.2,<17.0a0'
+    libspatialite: '>=5.1.0,<5.2.0a0'
+    libsqlite: '>=3.45.1,<4.0a0'
+    libstdcxx-ng: '>=12'
+    libtiff: '>=4.6.0,<4.7.0a0'
+    libuuid: '>=2.38.1,<3.0a0'
+    libwebp-base: '>=1.3.2,<2.0a0'
+    libxml2: '>=2.12.5,<3.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    openjpeg: '>=2.5.0,<3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    pcre2: '>=10.42,<10.43.0a0'
+    poppler: '>=24.2.0,<24.3.0a0'
+    postgresql: ''
+    proj: '>=9.3.1,<9.3.2.0a0'
+    tiledb: '>=2.20.0,<2.21.0a0'
+    xerces-c: '>=3.2.5,<3.3.0a0'
+    xz: '>=5.2.6,<6.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgdal-3.8.3-h9323651_3.conda
+  hash:
+    md5: ade2a401e8a96a184e659545b97970cf
+    sha256: a3293d2f4090ec62b0fa5f978d89c44e8077655a3487496b2d169701636f19fb
+  category: main
+  optional: false
+- name: libgdal
+  version: 3.8.3
   manager: conda
   platform: osx-64
   dependencies:
-    certifi: ''
-    cftime: ''
-    hdf5: '>=1.14.0,<1.14.1.0a0'
+    blosc: '>=1.21.5,<2.0a0'
+    cfitsio: '>=4.3.1,<4.3.2.0a0'
+    freexl: '>=2.0.0,<3.0a0'
+    geos: '>=3.12.1,<3.12.2.0a0'
+    geotiff: '>=1.7.1,<1.8.0a0'
+    giflib: '>=5.2.1,<5.3.0a0'
+    hdf4: '>=4.2.15,<4.2.16.0a0'
+    hdf5: '>=1.14.3,<1.14.4.0a0'
+    json-c: '>=0.17,<0.18.0a0'
+    kealib: '>=1.5.3,<1.6.0a0'
+    lerc: '>=4.0.0,<5.0a0'
+    libaec: '>=1.1.2,<2.0a0'
+    libarchive: '>=3.7.2,<3.8.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=16'
+    libdeflate: '>=1.19,<1.20.0a0'
+    libexpat: '>=2.5.0,<3.0a0'
+    libiconv: '>=1.17,<2.0a0'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libkml: '>=1.3.0,<1.4.0a0'
     libnetcdf: '>=4.9.2,<4.9.3.0a0'
+    libpng: '>=1.6.42,<1.7.0a0'
+    libpq: '>=16.2,<17.0a0'
+    libspatialite: '>=5.1.0,<5.2.0a0'
+    libsqlite: '>=3.45.1,<4.0a0'
+    libtiff: '>=4.6.0,<4.7.0a0'
+    libwebp-base: '>=1.3.2,<2.0a0'
+    libxml2: '>=2.12.5,<3.0a0'
     libzlib: '>=1.2.13,<1.3.0a0'
-    numpy: '>=1.23.5,<2.0a0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-    setuptools: ''
-  url: https://conda.anaconda.org/conda-forge/osx-64/netcdf4-1.6.4-nompi_py311h6222480_100.conda
+    lz4-c: '>=1.9.3,<1.10.0a0'
+    openjpeg: '>=2.5.0,<3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    pcre2: '>=10.42,<10.43.0a0'
+    poppler: '>=24.2.0,<24.3.0a0'
+    postgresql: ''
+    proj: '>=9.3.1,<9.3.2.0a0'
+    tiledb: '>=2.20.0,<2.21.0a0'
+    xerces-c: '>=3.2.5,<3.3.0a0'
+    xz: '>=5.2.6,<6.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libgdal-3.8.3-h46636ed_3.conda
   hash:
-    md5: 1120fd60b1ce7f70359af368ccf06658
-    sha256: cd5ef5b1a84282b3474bdeaa89ef004d9521c041e1a0d942bc13a4766927a18c
+    md5: 42b1d80f5b632bd4beeba2558a4149fe
+    sha256: f31913b7cf17142240c6cc64220800585924ba4748521b95490eb540652916e2
   category: main
   optional: false
-- name: rasterio
-  version: 1.3.7
+- name: libgdal
+  version: 3.8.3
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    blosc: '>=1.21.5,<2.0a0'
+    cfitsio: '>=4.3.1,<4.3.2.0a0'
+    freexl: '>=2.0.0,<3.0a0'
+    geos: '>=3.12.1,<3.12.2.0a0'
+    geotiff: '>=1.7.1,<1.8.0a0'
+    giflib: '>=5.2.1,<5.3.0a0'
+    hdf4: '>=4.2.15,<4.2.16.0a0'
+    hdf5: '>=1.14.3,<1.14.4.0a0'
+    json-c: '>=0.17,<0.18.0a0'
+    kealib: '>=1.5.3,<1.6.0a0'
+    lerc: '>=4.0.0,<5.0a0'
+    libaec: '>=1.1.2,<2.0a0'
+    libarchive: '>=3.7.2,<3.8.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=16'
+    libdeflate: '>=1.19,<1.20.0a0'
+    libexpat: '>=2.5.0,<3.0a0'
+    libiconv: '>=1.17,<2.0a0'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libkml: '>=1.3.0,<1.4.0a0'
+    libnetcdf: '>=4.9.2,<4.9.3.0a0'
+    libpng: '>=1.6.42,<1.7.0a0'
+    libpq: '>=16.2,<17.0a0'
+    libspatialite: '>=5.1.0,<5.2.0a0'
+    libsqlite: '>=3.45.1,<4.0a0'
+    libtiff: '>=4.6.0,<4.7.0a0'
+    libwebp-base: '>=1.3.2,<2.0a0'
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+    libzlib: '>=1.2.13,<1.3.0a0'
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+    openjpeg: '>=2.5.0,<3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    pcre2: '>=10.42,<10.43.0a0'
+    poppler: '>=24.2.0,<24.3.0a0'
+    postgresql: ''
+    proj: '>=9.3.1,<9.3.2.0a0'
+    tiledb: '>=2.20.0,<2.21.0a0'
+    xerces-c: '>=3.2.5,<3.3.0a0'
+    xz: '>=5.2.6,<6.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libgdal-3.8.3-ha86f356_3.conda
+  hash:
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+    cfitsio: '>=4.3.1,<4.3.2.0a0'
+    freexl: '>=2.0.0,<3.0a0'
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+    hdf4: '>=4.2.15,<4.2.16.0a0'
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+    libaec: '>=1.1.2,<2.0a0'
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+    lz4-c: '>=1.9.3,<1.10.0a0'
+    openjpeg: '>=2.5.0,<3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    pcre2: '>=10.42,<10.43.0a0'
+    poppler: '>=24.2.0,<24.3.0a0'
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+    proj: '>=9.3.1,<9.3.2.0a0'
+    tiledb: '>=2.20.0,<2.21.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+    xerces-c: '>=3.2.5,<3.3.0a0'
+    xz: '>=5.2.6,<6.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/win-64/libgdal-3.8.3-h7c2897a_3.conda
+  hash:
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+    sha256: 1294c50771a710f91ea07be3fbf15ded4d8a41d594fc86579c26b4bd2bf8eb8a
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+  optional: false
+- name: libgfortran
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   manager: conda
   platform: osx-64
   dependencies:
-    affine: ''
-    attrs: ''
-    certifi: ''
-    click: '>=4'
-    click-plugins: ''
-    cligj: '>=0.5'
-    libcxx: '>=15.0.7'
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-    proj: '>=9.2.1,<9.2.2.0a0'
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-    python_abi: 3.11.*
-    setuptools: '>=0.9.8'
-    snuggs: '>=1.4.1'
-  url: https://conda.anaconda.org/conda-forge/osx-64/rasterio-1.3.7-py311h5f90dc6_2.conda
+    libgfortran5: 13.2.0
+  url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran-5.0.0-13_2_0_h97931a8_3.conda
   hash:
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-    sha256: 93ea01fb4025e4741a3c6d3ea0e616e1944937217e8d04e4c13564df54e471a1
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+    sha256: 4874422e567b68334705c135c17e5acdca1404de8255673ce30ad3510e00be0d
   category: main
   optional: false
-- name: requests
-  version: 2.31.0
+- name: libgfortran
+  version: 5.0.0
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    libgfortran5: 13.2.0
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libgfortran-5.0.0-13_2_0_hd922786_3.conda
+  hash:
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+    sha256: 44e541b4821c96b28b27fef5630883a60ce4fee91fd9c79f25a199f8f73f337b
+  category: main
+  optional: false
+- name: libgfortran-ng
+  version: 13.2.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgfortran5: 13.2.0
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_5.conda
+  hash:
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+    sha256: 238c16c84124d58307376715839aa152bd4a1bf5a043052938ad6c3137d30245
+  category: main
+  optional: false
+- name: libgfortran5
+  version: 13.2.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libgcc-ng: '>=13.2.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-ha4646dd_5.conda
+  hash:
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+    sha256: ba8d94e8493222ce155bb264d9de4200e41498a458e866fedf444de809bde8b6
+  category: main
+  optional: false
+- name: libgfortran5
+  version: 13.2.0
   manager: conda
   platform: osx-64
   dependencies:
-    python: '>=3.7'
-    idna: '>=2.5,<4'
-    certifi: '>=2017.4.17'
-    charset-normalizer: '>=2,<4'
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-  url: https://conda.anaconda.org/conda-forge/noarch/requests-2.31.0-pyhd8ed1ab_0.conda
+    llvm-openmp: '>=8.0.0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libgfortran5-13.2.0-h2873a65_3.conda
   hash:
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-    sha256: 9f629d6fd3c8ac5f2a198639fe7af87c4db2ac9235279164bfe0fcb49d8c4bad
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+    sha256: da3db4b947e30aec7596a3ef92200d17e774cccbbf7efc47802529a4ca5ca31b
   category: main
   optional: false
-- name: xarray
-  version: 2023.6.0
+- name: libgfortran5
+  version: 13.2.0
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    llvm-openmp: '>=8.0.0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libgfortran5-13.2.0-hf226fd6_3.conda
+  hash:
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+    sha256: bafc679eedb468a86aa4636061c55966186399ee0a04b605920d208d97ac579a
+  category: main
+  optional: false
+- name: libglib
+  version: 2.78.3
+  manager: conda
+  platform: linux-64
+  dependencies:
+    gettext: '>=0.21.1,<1.0a0'
+    libffi: '>=3.4,<4.0a0'
+    libgcc-ng: '>=12'
+    libiconv: '>=1.17,<2.0a0'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    pcre2: '>=10.42,<10.43.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.78.3-h783c2da_0.conda
+  hash:
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+    sha256: b1b594294a0fe4c9a51596ef027efed9268d60827e8ae61fb7545c521a631e33
+  category: main
+  optional: false
+- name: libglib
+  version: 2.78.3
   manager: conda
   platform: osx-64
   dependencies:
-    python: '>=3.9'
-    packaging: '>=21.3'
-    numpy: '>=1.21'
-    pandas: '>=1.4'
-  url: https://conda.anaconda.org/conda-forge/noarch/xarray-2023.6.0-pyhd8ed1ab_0.conda
+    __osx: '>=10.9'
+    gettext: '>=0.21.1,<1.0a0'
+    libcxx: '>=16.0.6'
+    libffi: '>=3.4,<4.0a0'
+    libiconv: '>=1.17,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    pcre2: '>=10.42,<10.43.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libglib-2.78.3-h198397b_0.conda
   hash:
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-    sha256: c1fecc97994e41317953641bff5eb2877c3118a3c7e798edd5fbfbd497ea9837
+    md5: e18624e441743b0d744116885b70f092
+    sha256: 90e58879873b05617e0678ecfbf47bc740c1a2ed7840b8f7cd1241813b9037db
   category: main
   optional: false
-- name: zarr
-  version: 2.15.0
+- name: libglib
+  version: 2.78.3
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    __osx: '>=10.9'
+    gettext: '>=0.21.1,<1.0a0'
+    libcxx: '>=16.0.6'
+    libffi: '>=3.4,<4.0a0'
+    libiconv: '>=1.17,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    pcre2: '>=10.42,<10.43.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libglib-2.78.3-hb438215_0.conda
+  hash:
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+    sha256: f26afb1003e810e768138b0c849e9408c0ae8635062aeaf7abae381903a84e53
+  category: main
+  optional: false
+- name: libglib
+  version: 2.78.3
+  manager: conda
+  platform: win-64
+  dependencies:
+    gettext: '>=0.21.1,<1.0a0'
+    libffi: '>=3.4,<4.0a0'
+    libiconv: '>=1.17,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    pcre2: '>=10.42,<10.43.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libglib-2.78.3-h16e383f_0.conda
+  hash:
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+    sha256: 33527a11321609064c649682e709ebede86e24f1264dac1d018aaa00fb3b90bf
+  category: main
+  optional: false
+- name: libgomp
+  version: 13.2.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    _libgcc_mutex: '0.1'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h807b86a_5.conda
+  hash:
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+    sha256: 0d3d4b1b0134283ea02d58e8eb5accf3655464cf7159abf098cc694002f8d34e
+  category: main
+  optional: false
+- name: libgoogle-cloud
+  version: 2.12.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libcrc32c: '>=1.1.2,<1.2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libgcc-ng: '>=12'
+    libgrpc: '>=1.60.0,<1.61.0a0'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    libstdcxx-ng: '>=12'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgoogle-cloud-2.12.0-hef10d8f_5.conda
+  hash:
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+    sha256: 3c80f8da632c01b5beb50bdc4c7c488501793cd7c138427f61e93f98719e8342
+  category: main
+  optional: false
+- name: libgoogle-cloud
+  version: 2.12.0
   manager: conda
   platform: osx-64
   dependencies:
-    fasteners: ''
-    asciitree: ''
-    python: '>=3.5'
-    numpy: '>=1.7'
-    numcodecs: '>=0.10.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/zarr-2.15.0-pyhd8ed1ab_0.conda
+    __osx: '>=10.13'
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libcrc32c: '>=1.1.2,<1.2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=15'
+    libgrpc: '>=1.60.0,<1.61.0a0'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libgoogle-cloud-2.12.0-he77a663_5.conda
   hash:
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-    sha256: 0ad2c7f46c6eb9ef5b0bf9ef2b86d086ca4b38e0233d9670002085b775a92a8c
+    md5: dac48d8fadf9e28c7010f49b56804862
+    sha256: 4cae7eefaeba18daf87f046c1e26026f741d1c3f0f0740bf082e3dbd8454ac67
   category: main
   optional: false
-- name: cf_xarray
-  version: 0.8.2
+- name: libgoogle-cloud
+  version: 2.12.0
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libcrc32c: '>=1.1.2,<1.2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=15'
+    libgrpc: '>=1.60.0,<1.61.0a0'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libgoogle-cloud-2.12.0-h49bbb43_5.conda
+  hash:
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+    sha256: bedf55e777aafb89a371bf0322f15bff952a620278920c100177d61e37aecca9
+  category: main
+  optional: false
+- name: libgoogle-cloud
+  version: 2.12.0
+  manager: conda
+  platform: win-64
+  dependencies:
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libcrc32c: '>=1.1.2,<1.2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libgrpc: '>=1.60.0,<1.61.0a0'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libgoogle-cloud-2.12.0-hc7cbac0_5.conda
+  hash:
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+    sha256: 03f360345841ecb6cdc6a3a3a75a04e29d2f53e5fc180822d9ebef5d131a9007
+  category: main
+  optional: false
+- name: libgrpc
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+  manager: conda
+  platform: linux-64
+  dependencies:
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+    libabseil: '>=20230802.1,<20230803.0a0'
+    libgcc-ng: '>=12'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    re2: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.60.1-h74775cd_0.conda
+  hash:
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+    sha256: 66d776eda66e1d786160e03b4572c8dc9c8377a7f0abfca9a90643b64f1d150e
+  category: main
+  optional: false
+- name: libgrpc
+  version: 1.60.1
+  manager: conda
+  platform: osx-64
+  dependencies:
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+    c-ares: '>=1.26.0,<2.0a0'
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libcxx: '>=16'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    re2: ''
+  url: https://conda.anaconda.org/conda-forge/osx-64/libgrpc-1.60.1-h038e8f1_0.conda
+  hash:
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+    sha256: 4594e993e1ab0fafbee81cfe4ff6b3aea5684035a3244a9edac8e73a1f5da508
+  category: main
+  optional: false
+- name: libgrpc
+  version: 1.60.1
+  manager: conda
+  platform: osx-arm64
+  dependencies:
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+    libabseil: '>=20230802.1,<20230803.0a0'
+    libcxx: '>=16'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    re2: ''
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libgrpc-1.60.1-hfc68871_0.conda
+  hash:
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+    sha256: dfc59f830629504342016514afe9927e2fa4784fc424a40452746c76ad025a8c
+  category: main
+  optional: false
+- name: libgrpc
+  version: 1.60.1
+  manager: conda
+  platform: win-64
+  dependencies:
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+    libabseil: '>=20230802.1,<20230803.0a0'
+    libprotobuf: '>=4.25.1,<4.25.2.0a0'
+    libre2-11: '>=2023.6.2,<2024.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    re2: ''
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libgrpc-1.60.1-h0bf0bfa_0.conda
+  hash:
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+    sha256: 7b3dbadddc653ce72da4726a3d75fcd250e8a1e973879883ceae7ebee7d06f01
+  category: main
+  optional: false
+- name: libhwloc
+  version: 2.9.3
+  manager: conda
+  platform: win-64
+  dependencies:
+    libxml2: '>=2.11.5,<3.0.0a0'
+    pthreads-win32: ''
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   manager: conda
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+  platform: win-64
   dependencies:
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-    python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/cf_xarray-0.8.2-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: google-auth
-  version: 2.21.0
+- name: libkml
+  version: 1.3.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-    six: '>=1.9.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.21.0-pyh1a96a4e_0.conda
+    libboost-headers: ''
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+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    uriparser: '>=0.9.7,<1.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libkml-1.3.0-h01aab08_1018.conda
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   category: main
   optional: false
-- name: ipykernel
-  version: 6.23.3
+- name: libkml
+  version: 1.3.0
   manager: conda
   platform: osx-64
   dependencies:
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-    psutil: ''
-    nest-asyncio: ''
-    __osx: ''
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-    traitlets: '>=5.4.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.23.3-pyh5fb750a_0.conda
+    libboost-headers: ''
+    libcxx: '>=15.0.7'
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+    libzlib: '>=1.2.13,<1.3.0a0'
+    uriparser: '>=0.9.7,<1.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libkml-1.3.0-hab3ca0e_1018.conda
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   optional: false
-- name: jupyter-cache
-  version: 0.6.1
+- name: libkml
+  version: 1.3.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    pyyaml: ''
-    click: ''
-    importlib-metadata: ''
-    tabulate: ''
-    nbformat: ''
-    attrs: ''
-    python: '>=3.8'
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter-cache-0.6.1-pyhd8ed1ab_0.conda
+    libboost-headers: ''
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+    libexpat: '>=2.5.0,<3.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    uriparser: '>=0.9.7,<1.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libkml-1.3.0-h1eb4d9f_1018.conda
   hash:
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   category: main
   optional: false
-- name: libarrow
-  version: 12.0.0
+- name: libkml
+  version: 1.3.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
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     libzlib: '>=1.2.13,<1.3.0a0'
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-  url: https://conda.anaconda.org/conda-forge/osx-64/libarrow-12.0.0-hd5f21ce_9_cpu.conda
+    ucrt: '>=10.0.20348.0'
+    uriparser: '>=0.9.7,<1.0a0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libkml-1.3.0-haf3e7a6_1018.conda
   hash:
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   category: main
   optional: false
-- name: nbconvert-core
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+- name: liblapack
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   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-    beautifulsoup4: ''
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-    tinycss2: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.6.0-pyhd8ed1ab_0.conda
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+  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-21_linux64_openblas.conda
   hash:
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   category: main
   optional: false
-- name: panel
-  version: 1.1.1
+- name: liblapack
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   manager: conda
   platform: osx-64
   dependencies:
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-    typing_extensions: ''
-    packaging: ''
-    markdown: ''
-    bleach: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/panel-1.1.1-pyhd8ed1ab_0.conda
+    libblas: 3.9.0
+  url: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-21_osx64_openblas.conda
   hash:
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   category: main
   optional: false
-- name: pint-xarray
-  version: '0.3'
+- name: liblapack
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   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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-    numpy: '>=1.17'
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-  url: https://conda.anaconda.org/conda-forge/noarch/pint-xarray-0.3-pyhd8ed1ab_0.tar.bz2
+    libblas: 3.9.0
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.9.0-21_osxarm64_openblas.conda
   hash:
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   optional: false
-- name: pooch
-  version: 1.7.0
+- name: liblapack
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   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pooch-1.7.0-pyha770c72_3.conda
+    libblas: 3.9.0
+  url: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-21_win64_mkl.conda
   hash:
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   optional: false
-- name: pyct
-  version: 0.4.6
+- name: libllvm14
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   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    python: ''
-    requests: ''
-    pyyaml: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/pyct-0.4.6-py_0.tar.bz2
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libllvm14-14.0.6-hcd5def8_4.conda
   hash:
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   optional: false
-- name: pydap
-  version: 3.4.0
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   manager: conda
   platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pydap-3.4.0-pyhd8ed1ab_0.conda
+    libcxx: '>=15'
+    libzlib: '>=1.2.13,<1.3.0a0'
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   optional: false
-- name: python-graphviz
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+- name: libllvm14
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   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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-    graphviz: '>=2.46.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/python-graphviz-0.20.1-pyh22cad53_0.tar.bz2
+    libcxx: '>=15'
+    libzlib: '>=1.2.13,<1.3.0a0'
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   hash:
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   optional: false
-- name: requests-oauthlib
-  version: 1.3.1
+- name: libllvm15
+  version: 15.0.7
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-    requests: '>=2.0.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/requests-oauthlib-1.3.1-pyhd8ed1ab_0.tar.bz2
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libxml2: '>=2.12.1,<3.0.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libllvm15-15.0.7-hb3ce162_4.conda
   hash:
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   optional: false
-- name: sphinx
-  version: 4.5.0
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   manager: conda
   platform: osx-64
   dependencies:
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-    sphinxcontrib-jsmath: ''
-    imagesize: ''
-    sphinxcontrib-applehelp: ''
-    sphinxcontrib-devhelp: ''
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-    python: '>=3.6'
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-4.5.0-pyh6c4a22f_0.tar.bz2
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+    libxml2: '>=2.12.1,<3.0.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libllvm15-15.0.7-hbedff68_4.conda
   hash:
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   category: main
   optional: false
-- name: colorcet
-  version: 3.0.1
+- name: libllvm15
+  version: 15.0.7
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    python: '>=2.7'
-    pyct: '>=0.4.4'
-  url: https://conda.anaconda.org/conda-forge/noarch/colorcet-3.0.1-pyhd8ed1ab_0.tar.bz2
+    libcxx: '>=16'
+    libxml2: '>=2.12.1,<3.0.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libllvm15-15.0.7-h2621b3d_4.conda
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   category: main
   optional: false
-- name: google-api-core
-  version: 2.11.1
+- name: libnetcdf
+  version: 4.9.2
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    python: '>=3.7'
-    google-auth: '>=2.14.1,<3.0dev0'
-    googleapis-common-protos: '>=1.56.2,<2.0dev0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.11.1-pyhd8ed1ab_0.conda
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+    bzip2: '>=1.0.8,<2.0a0'
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+    hdf5: '>=1.14.3,<1.14.4.0a0'
+    libaec: '>=1.1.2,<2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
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+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    zlib: ''
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h9612171_113.conda
   hash:
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   category: main
   optional: false
-- name: google-auth-oauthlib
-  version: 1.0.0
+- name: libnetcdf
+  version: 4.9.2
   manager: conda
   platform: osx-64
   dependencies:
-    python: '>=3.6'
-    google-auth: '>=1.0.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-1.0.0-pyhd8ed1ab_0.conda
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+    blosc: '>=1.21.5,<2.0a0'
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+    hdf5: '>=1.14.3,<1.14.4.0a0'
+    libaec: '>=1.1.2,<2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=16.0.6'
+    libxml2: '>=2.12.2,<3.0.0a0'
+    libzip: '>=1.10.1,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    zlib: ''
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libnetcdf-4.9.2-nompi_h7760872_113.conda
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   category: main
   optional: false
-- name: jupyter_server
-  version: 2.6.0
+- name: libnetcdf
+  version: 4.9.2
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    packaging: ''
-    jinja2: ''
-    prometheus_client: ''
-    websocket-client: ''
-    argon2-cffi: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.6.0-pyhd8ed1ab_0.conda
+    __osx: '>=10.9'
+    blosc: '>=1.21.5,<2.0a0'
+    bzip2: '>=1.0.8,<2.0a0'
+    hdf4: '>=4.2.15,<4.2.16.0a0'
+    hdf5: '>=1.14.3,<1.14.4.0a0'
+    libaec: '>=1.1.2,<2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=16.0.6'
+    libxml2: '>=2.12.2,<3.0.0a0'
+    libzip: '>=1.10.1,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+    zlib: ''
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libnetcdf-4.9.2-nompi_h291a7c2_113.conda
   hash:
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   category: main
   optional: false
-- name: myst-parser
-  version: 0.18.1
+- name: libnetcdf
+  version: 4.9.2
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    pyyaml: ''
-    typing-extensions: ''
-    jinja2: ''
-    python: '>=3.7'
-    markdown-it-py: '>=1.0.0,<3.0.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/myst-parser-0.18.1-pyhd8ed1ab_0.tar.bz2
+    blosc: '>=1.21.5,<2.0a0'
+    bzip2: '>=1.0.8,<2.0a0'
+    hdf4: '>=4.2.15,<4.2.16.0a0'
+    hdf5: '>=1.14.3,<1.14.4.0a0'
+    libaec: '>=1.1.2,<2.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libxml2: '>=2.12.2,<3.0.0a0'
+    libzip: '>=1.10.1,<2.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+    zlib: ''
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/win-64/libnetcdf-4.9.2-nompi_h07c049d_113.conda
   hash:
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   category: main
   optional: false
-- name: nbconvert-pandoc
-  version: 7.6.0
+- name: libnghttp2
+  version: 1.58.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    pandoc: ''
-    python: '>=3.7'
-    nbconvert-core: 7.6.0
-  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.6.0-pyhd8ed1ab_0.conda
+    c-ares: '>=1.23.0,<2.0a0'
+    libev: '>=4.33,<5.0a0'
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.58.0-h47da74e_1.conda
   hash:
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   category: main
   optional: false
-- name: pyarrow
-  version: 12.0.0
+- name: libnghttp2
+  version: 1.58.0
   manager: conda
   platform: osx-64
   dependencies:
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-    libcxx: '>=15.0.7'
-    numpy: '>=1.23.5,<2.0a0'
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-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/pyarrow-12.0.0-py311h7c6147c_9_cpu.conda
+    __osx: '>=10.9'
+    c-ares: '>=1.23.0,<2.0a0'
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+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libnghttp2-1.58.0-h64cf6d3_1.conda
   hash:
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   optional: false
-- name: pydata-sphinx-theme
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+- name: libnghttp2
+  version: 1.58.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
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-    beautifulsoup4: ''
-    babel: ''
-    accessible-pygments: ''
-    python: '>=3.7'
-    pygments: '>=2.7'
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-  url: https://conda.anaconda.org/conda-forge/noarch/pydata-sphinx-theme-0.13.3-pyhd8ed1ab_0.conda
+    __osx: '>=10.9'
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+    libcxx: '>=16.0.6'
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+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.0,<4.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libnghttp2-1.58.0-ha4dd798_1.conda
   hash:
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   category: main
   optional: false
-- name: scipy
-  version: 1.11.0
+- name: libnl
+  version: 3.9.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
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-    libcblas: '>=3.9.0,<4.0a0'
-    libcxx: '>=15.0.7'
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-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-64/scipy-1.11.0-py311h16c3c4d_0.conda
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libnl-3.9.0-hd590300_0.conda
   hash:
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   category: main
   optional: false
-- name: sphinx-codeautolink
-  version: 0.15.0
+- name: libnsl
+  version: 2.0.1
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    dataclasses: ''
-    docutils: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-codeautolink-0.15.0-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda
   hash:
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   category: main
   optional: false
-- name: sphinx-comments
-  version: 0.0.3
+- name: libnuma
+  version: 2.0.16
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    python: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-comments-0.0.3-pyh9f0ad1d_0.tar.bz2
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libnuma-2.0.16-h0b41bf4_1.conda
   hash:
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   category: main
   optional: false
-- name: sphinx-copybutton
-  version: 0.5.2
+- name: libopenblas
+  version: 0.3.26
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    python: '>=3'
-    sphinx: '>=1.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-copybutton-0.5.2-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+    libgfortran-ng: ''
+    libgfortran5: '>=12.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.26-pthreads_h413a1c8_0.conda
   hash:
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   category: main
   optional: false
-- name: sphinx-design
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   manager: conda
   platform: osx-64
   dependencies:
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-    sphinx: '>=4,<6'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-design-0.3.0-pyhd8ed1ab_0.tar.bz2
+    libgfortran: 5.*
+    libgfortran5: '>=12.3.0'
+    llvm-openmp: '>=16.0.6'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libopenblas-0.3.26-openmp_hfef2a42_0.conda
   hash:
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   category: main
   optional: false
-- name: sphinx-external-toc
-  version: 0.3.1
+- name: libopenblas
+  version: 0.3.26
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    pyyaml: ''
-    python: '>=3.6'
-    sphinx: '>=3,<5'
-    click: '>=7.1,<9'
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-external-toc-0.3.1-pyhd8ed1ab_0.conda
+    libgfortran: 5.*
+    libgfortran5: '>=12.3.0'
+    llvm-openmp: '>=16.0.6'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.26-openmp_h6c19121_0.conda
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-- name: sphinx-jupyterbook-latex
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   manager: conda
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+  platform: linux-64
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-- name: sphinx-togglebutton
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-- name: sphinxcontrib-bibtex
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-- name: sphinxext-rediraffe
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-- name: cartopy
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   manager: conda
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-- name: dask
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: datashader
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   manager: conda
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   dependencies:
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-    python: '>=3.8'
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-- name: google-cloud-core
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   manager: conda
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   dependencies:
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-- name: holoviews
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   manager: conda
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   dependencies:
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-- name: jupyter-lsp
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-- name: jupyter-resource-usage
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-- name: jupyter-server-proxy
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-- name: jupyter_server_fileid
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-- name: jupyterlab_server
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   manager: conda
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-- name: myst-nb
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+  version: 2023.06.02
   manager: conda
   platform: osx-64
   dependencies:
-    pyyaml: ''
-    typing_extensions: ''
-    ipython: ''
-    importlib-metadata: ''
-    ipykernel: ''
-    nbclient: ''
-    python: '>=3.7'
-    nbformat: '>=5.0,<6'
-    sphinx: '>=4,<6'
-    myst-parser: '>=0.18.0,<0.19.0'
-    jupyter-cache: '>=0.5.0,<0.7.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/myst-nb-0.17.2-pyhd8ed1ab_0.conda
+    __osx: '>=10.9'
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libcxx: '>=16.0.6'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libre2-11-2023.06.02-h4694dbf_0.conda
   hash:
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-    sha256: 37bcf6de8618a0668ef6b364b14e0eceea87b202a3882c59dcd85bc1172a5402
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   category: main
   optional: false
-- name: nbconvert
-  version: 7.6.0
+- name: libre2-11
+  version: 2023.06.02
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    python: '>=3.7'
-    nbconvert-core: 7.6.0
-    nbconvert-pandoc: 7.6.0
-  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.6.0-pyhd8ed1ab_0.conda
+    __osx: '>=10.9'
+    libabseil: '>=20230802.1,<20230803.0a0'
+    libcxx: '>=16.0.6'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libre2-11-2023.06.02-h1753957_0.conda
   hash:
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-    sha256: c4fa59b7a23456c7488863b9521bfca2a62ed5061150402b7f66c6c8b3b332ea
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   category: main
   optional: false
-- name: notebook-shim
-  version: 0.2.3
+- name: libre2-11
+  version: 2023.06.02
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    python: '>=3.7'
-    jupyter_server: '>=1.8,<3'
-  url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.3-pyhd8ed1ab_0.conda
+    libabseil: '>=20230802.1,<20230803.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libre2-11-2023.06.02-h8c5ae5e_0.conda
   hash:
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-    sha256: f028d7ad1f2175cde307db08b60d07e371b9d6f035cfae6c81ea94b4c408c538
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+    sha256: c468915951532d0455737e08e5fb2a4e2a862c123a13feeaa12fe72671070e13
   category: main
   optional: false
-- name: rioxarray
-  version: 0.14.1
+- name: librsvg
+  version: 2.56.3
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    scipy: ''
-    packaging: ''
-    python: '>=3.9'
-    numpy: '>=1.21'
-    rasterio: '>=1.2'
-    pyproj: '>=2.2'
-    xarray: '>=0.17'
-  url: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.14.1-pyhd8ed1ab_0.conda
+    cairo: '>=1.18.0,<2.0a0'
+    gdk-pixbuf: '>=2.42.10,<3.0a0'
+    gettext: '>=0.21.1,<1.0a0'
+    libgcc-ng: '>=12'
+    libglib: '>=2.78.1,<3.0a0'
+    libxml2: '>=2.12.1,<3.0.0a0'
+    pango: '>=1.50.14,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.56.3-he3f83f7_1.conda
   hash:
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-    sha256: b2b72317f24af0a3263ac95026d6c9c4f47771363e8ff2cc40150c2902a407eb
+    md5: 03bd1ddcc942867a19528877143b9852
+    sha256: b82d0c60376da88a2bf15d35d17c176aa923917ad7de4bc62ddef6d02f3518fb
   category: main
   optional: false
-- name: sphinx-book-theme
-  version: 1.0.1
+- name: librsvg
+  version: 2.56.3
   manager: conda
   platform: osx-64
   dependencies:
-    python: '>=3.7'
-    sphinx: '>=4,<7'
-    pydata-sphinx-theme: '>=0.13.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-book-theme-1.0.1-pyhd8ed1ab_0.conda
+    cairo: '>=1.18.0,<2.0a0'
+    gdk-pixbuf: '>=2.42.10,<3.0a0'
+    gettext: '>=0.21.1,<1.0a0'
+    libglib: '>=2.78.1,<3.0a0'
+    libxml2: '>=2.12.1,<3.0.0a0'
+    pango: '>=1.50.14,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/librsvg-2.56.3-h1877882_1.conda
   hash:
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-    sha256: bbd622f59265f80a320afa7cd71d7d95b91ff009796481a7d0875b25c0d079c0
+    md5: 43b31ab0e9cf3538fb3ab138ee663a0b
+    sha256: 29c94b30363cdcae427a2a303de3c634db05f1e28101b6e865e135e72fa8b7ec
   category: main
   optional: false
-- name: geoviews-core
-  version: 1.10.0
+- name: librsvg
+  version: 2.56.3
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    packaging: ''
-    pyproj: ''
-    python: '>=3.8'
-    numpy: '>=1.0'
-    cartopy: '>=0.18.0'
-    param: '>=1.9.3'
-    holoviews: '>=1.16.0'
-    bokeh: '>=3.1.0,<3.2.0'
-    panel: '>=1.0.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/geoviews-core-1.10.0-pyha770c72_0.conda
+    cairo: '>=1.18.0,<2.0a0'
+    gdk-pixbuf: '>=2.42.10,<3.0a0'
+    gettext: '>=0.21.1,<1.0a0'
+    libglib: '>=2.78.1,<3.0a0'
+    libxml2: '>=2.12.1,<3.0.0a0'
+    pango: '>=1.50.14,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/librsvg-2.56.3-h55a2576_1.conda
   hash:
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-    sha256: bfdd133933c305ca53f93545af4c5942d855bc4198b3cd5d78707991a83d27b9
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+    sha256: 59043f2536d61a32378553c4fa7f56e97bca12165c37a45de9e7439a06f5ac16
   category: main
   optional: false
-- name: google-cloud-storage
-  version: 2.9.0
+- name: librttopo
+  version: 1.1.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    python: '>=3.6'
-    requests: '>=2.18.0,<3.0.0dev'
-    google-api-core: '>=1.31.5,<3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0'
-    google-auth: '>=1.25.0,<3.0dev'
-    google-resumable-media: '>=2.3.2'
-    google-cloud-core: '>=2.3.0,<3.0dev'
-    protobuf: <5.0.0dev
-  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-2.9.0-pyh1a96a4e_0.conda
+    geos: '>=3.12.1,<3.12.2.0a0'
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/librttopo-1.1.0-h8917695_15.conda
   hash:
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-    sha256: d9c0bea3d55741f34ee70f09ea84d6ece6dee93e9112b516ed526c9f47043a62
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+    sha256: 03e248787162a1804683c614c0681c2488fa6d9f353cb32e2f8c1158157165ea
   category: main
   optional: false
-- name: hvplot
-  version: 0.8.4
+- name: librttopo
+  version: 1.1.0
   manager: conda
   platform: osx-64
   dependencies:
-    pandas: ''
-    packaging: ''
-    python: '>=3.6'
-    numpy: '>=1.15'
-    bokeh: '>=1.0.0'
-    holoviews: '>=1.11.0'
-    colorcet: '>=2'
-    param: '>=1.9.0'
-    panel: '>=0.11.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/hvplot-0.8.4-pyhd8ed1ab_1.conda
+    __osx: '>=10.9'
+    geos: '>=3.12.1,<3.12.2.0a0'
+    libcxx: '>=16.0.6'
+  url: https://conda.anaconda.org/conda-forge/osx-64/librttopo-1.1.0-hf05f67e_15.conda
   hash:
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-    sha256: 8e4f6a1d12b5c0fa1d4f655015b24b71074cd90cc4d6c7eb59331dacd32e2c4f
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+    sha256: 10c46efefda5cc77143832a186f517e401098907cf9c3ec7406a5c242bb34e33
   category: main
   optional: false
-- name: jupyter-book
-  version: 0.15.1
+- name: librttopo
+  version: 1.1.0
   manager: conda
-  platform: osx-64
+  platform: osx-arm64
   dependencies:
-    pyyaml: ''
-    jinja2: ''
-    sphinx-copybutton: ''
-    sphinx-togglebutton: ''
-    sphinx-comments: ''
-    python: '>=3.7'
-    click: '>=7.1,<9'
-    sphinx: '>=4,<6'
-    sphinx-multitoc-numbering: '>=0.1.3,<0.2.0'
-    sphinxcontrib-bibtex: '>=2.2.0,<=2.5.0'
-    docutils: '>=0.15,<0.19'
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-    sphinx-jupyterbook-latex: '>=0.5.2,<0.6.0'
-    myst-nb: '>=0.17.1,<0.18.0'
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-    sphinx-design: '>=0.3.0,<0.4.0'
-    sphinx-thebe: '>=0.2.0,<0.3.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter-book-0.15.1-pyhd8ed1ab_0.conda
+    __osx: '>=10.9'
+    geos: '>=3.12.1,<3.12.2.0a0'
+    libcxx: '>=16.0.6'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/librttopo-1.1.0-hc8f776e_15.conda
   hash:
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-    sha256: b50732cd6ab656781f13aa43b8ce420266508235a1fb4ec7d49ca677dbe2a3d0
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   category: main
   optional: false
-- name: jupyter_server_ydoc
-  version: 0.8.0
+- name: librttopo
+  version: 1.1.0
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    python: '>=3.7'
-    jupyter_ydoc: '>=0.2.0,<0.4.0'
-    jupyter_server_fileid: '>=0.6.0,<1'
-    ypy-websocket: '>=0.8.2,<0.9.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_ydoc-0.8.0-pyhd8ed1ab_0.conda
+    geos: '>=3.12.1,<3.12.2.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/librttopo-1.1.0-h94c4f80_15.conda
   hash:
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-    sha256: 13dff47cd1ecd3337271f16e65d1376e148f8d18c4cbb87e4aab603d5be628c9
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+    sha256: 1a85091ebed8272b0c9b9e5aacba1d423c6411bfa91d7777c1ede8c7a42c933b
   category: main
   optional: false
-- name: jupyterlab
-  version: 4.0.2
+- name: libsodium
+  version: 1.0.18
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    packaging: ''
-    traitlets: ''
-    ipykernel: ''
-    tomli: ''
-    jupyter_core: ''
-    python: '>=3.8'
-    jinja2: '>=3.0.3'
-    tornado: '>=6.2.0'
-    importlib_metadata: '>=4.8.3'
-    importlib_resources: '>=1.4'
-    jupyter-lsp: '>=2.0.0'
-    async-lru: '>=1.0.0'
-    jupyter_server: '>=2.4.0,<3'
-    jupyterlab_server: '>=2.19.0,<3'
-    notebook-shim: '>=0.2'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.2-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libsodium-1.0.18-h36c2ea0_1.tar.bz2
   hash:
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-    sha256: 6ba8561371b50500981ee6a6092d98b02b410a2fa23f7024dde5175cf9ce3639
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+    sha256: 53da0c8b79659df7b53eebdb80783503ce72fb4b10ed6e9e05cc0e9e4207a130
   category: main
   optional: false
-- name: nbclassic
-  version: 1.0.0
-  manager: conda
-  platform: osx-64
-  dependencies:
-    jinja2: ''
-    nbformat: ''
-    prometheus_client: ''
-    ipykernel: ''
-    ipython_genutils: ''
-    argon2-cffi: ''
-    python: '>=3.7'
-    tornado: '>=6.1'
-    pyzmq: '>=17'
-    terminado: '>=0.8.3'
-    traitlets: '>=4.2.1'
-    jupyter_client: '>=6.1.1'
-    jupyter_core: '>=4.6.1'
-    nest-asyncio: '>=1.5'
-    send2trash: '>=1.8.0'
-    nbconvert: '>=5'
-    jupyter_server: '>=1.8'
-    notebook-shim: '>=0.2.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-1.0.0-pyhb4ecaf3_1.conda
+- name: libsodium
+  version: 1.0.18
+  manager: conda
+  platform: osx-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-64/libsodium-1.0.18-hbcb3906_1.tar.bz2
   hash:
-    md5: a0be31e9bd84d6eae87cdbf74c56b90b
-    sha256: fc2b2e606ccbd0aaa2cdecdd33fc39e2c4bd7b5b96a64b89b3e6ad9ce20eec2f
+    md5: 24632c09ed931af617fe6d5292919cab
+    sha256: 2da45f14e3d383b4b9e3a8bacc95cd2832aac2dbf9fbc70d255d384a310c5660
   category: main
   optional: false
-- name: sphinx-exercise
-  version: 0.4.0
+- name: libsodium
+  version: 1.0.18
   manager: conda
-  platform: osx-64
-  dependencies:
-    sphinx-book-theme: ''
-    python: '>=3.6'
-    docutils: '>=0.15'
-    sphinx: '>=3.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-exercise-0.4.0-pyhd8ed1ab_0.tar.bz2
+  platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libsodium-1.0.18-h27ca646_1.tar.bz2
   hash:
-    md5: cbabcec6050bb9783d6a3f8d01bf98db
-    sha256: 427fae3ea7536907e30a760f2e5accba9f7e0a6a0dba0200bcf8b8bf2a9d10b8
+    md5: 90859688dbca4735b74c02af14c4c793
+    sha256: 1d95fe5e5e6a0700669aab454b2a32f97289c9ed8d1f7667c2ba98327a6f05bc
   category: main
   optional: false
-- name: dask-labextension
-  version: 6.1.0
+- name: libsodium
+  version: 1.0.18
   manager: conda
-  platform: osx-64
+  platform: win-64
   dependencies:
-    python: '>=3.6'
-    jupyterlab: '>=3.0.0'
-    bokeh: '>=1.0.0,!=2.0.0'
-    distributed: '>=1.24.1'
-    jupyter-server-proxy: '>=1.3.2'
-  url: https://conda.anaconda.org/conda-forge/noarch/dask-labextension-6.1.0-pyhd8ed1ab_0.conda
+    vc: '>=14.1,<15.0a0'
+    vs2015_runtime: '>=14.16.27012'
+  url: https://conda.anaconda.org/conda-forge/win-64/libsodium-1.0.18-h8d14728_1.tar.bz2
   hash:
-    md5: a323c077b8c653007d6fe3a340b01240
-    sha256: 64c9aa827bf2231ce8f44d9686a05a7ac1381dc244a3c9603add38c2825d5e4b
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+    sha256: ecc463f0ab6eaf6bc5bd6ff9c17f65595de6c7a38db812222ab8ffde0d3f4bc2
   category: main
   optional: false
-- name: gcsfs
-  version: 2023.6.0
+- name: libspatialite
+  version: 5.1.0
   manager: conda
-  platform: osx-64
+  platform: linux-64
   dependencies:
-    requests: ''
-    aiohttp: ''
-    google-auth-oauthlib: ''
-    python: '>=3.7'
-    google-auth: '>=1.2'
-    decorator: '>4.1.2'
-    google-cloud-storage: '>1.40'
-    fsspec: 2023.6.0
-  url: https://conda.anaconda.org/conda-forge/noarch/gcsfs-2023.6.0-pyhd8ed1ab_0.conda
+    freexl: '>=2.0.0,<3.0a0'
+    geos: '>=3.12.1,<3.12.2.0a0'
+    libgcc-ng: '>=12'
+    librttopo: '>=1.1.0,<1.2.0a0'
+    libsqlite: '>=3.44.2,<4.0a0'
+    libstdcxx-ng: '>=12'
+    libxml2: '>=2.12.2,<3.0.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    proj: '>=9.3.1,<9.3.2.0a0'
+    sqlite: ''
+    zlib: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/libspatialite-5.1.0-h7bd4643_4.conda
   hash:
-    md5: 6369d600f32e61f19bcee2ae4ad19694
-    sha256: 181345a220c9bf21413dc10f42577f37b2536a88f0d8bd2baf8df12618d08987
+    md5: 127d36f9ee392fa81b45e81867ce30ab
+    sha256: 2d07badb81296f42dd0c59b02dbf7d64ca2c78c086226327c1e11e11f71effbd
   category: main
   optional: false
-- name: notebook
-  version: 6.5.4
+- name: libspatialite
+  version: 5.1.0
   manager: conda
   platform: osx-64
   dependencies:
-    jinja2: ''
-    nbformat: ''
-    prometheus_client: ''
-    ipykernel: ''
-    ipython_genutils: ''
-    argon2-cffi: ''
-    python: '>=3.7'
-    tornado: '>=6.1'
-    pyzmq: '>=17'
-    terminado: '>=0.8.3'
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-  url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.4-pyha770c72_0.conda
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+    sqlite: ''
+    zlib: ''
+  url: https://conda.anaconda.org/conda-forge/osx-64/libspatialite-5.1.0-hebe6af1_4.conda
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   optional: false
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   manager: conda
   platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-common-0.8.20-hb547adb_0.conda
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-- name: bzip2
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/bzip2-1.0.8-h3422bc3_4.tar.bz2
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+  url: https://conda.anaconda.org/conda-forge/win-64/libspatialite-5.1.0-hf2f0abc_4.conda
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   manager: conda
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/c-ares-1.19.1-hb547adb_0.conda
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-- name: ca-certificates
-  version: 2023.5.7
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2023.5.7-hf0a4a13_0.conda
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-- name: font-ttf-dejavu-sans-mono
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   manager: conda
   platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2
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-- name: font-ttf-inconsolata
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   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2
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-- name: font-ttf-source-code-pro
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2
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-- name: font-ttf-ubuntu
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/font-ttf-ubuntu-0.83-hab24e00_0.tar.bz2
+  platform: osx-64
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-- name: freexl
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   manager: conda
   platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/freexl-1.0.6-h1a8c8d9_1.tar.bz2
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   optional: false
-- name: fribidi
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/fribidi-1.0.10-h27ca646_0.tar.bz2
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-- name: giflib
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+- name: libstdcxx-ng
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/giflib-5.2.1-h1a8c8d9_3.conda
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-- name: icu
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/icu-72.1-he12128b_0.conda
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+  url: https://conda.anaconda.org/conda-forge/linux-64/libthrift-0.19.0-hb90f79a_1.conda
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-- name: json-c
-  version: '0.16'
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/json-c-0.16-hc449e50_0.tar.bz2
+  platform: osx-64
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   category: main
   optional: false
-- name: libbrotlicommon
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   manager: conda
   platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlicommon-1.0.9-h1a8c8d9_8.tar.bz2
+  dependencies:
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+    libzlib: '>=1.2.13,<1.3.0a0'
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+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libthrift-0.19.0-h026a170_1.conda
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   optional: false
-- name: libcxx
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+- name: libthrift
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-16.0.6-h4653b0c_0.conda
+  platform: win-64
+  dependencies:
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+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.1.3,<4.0a0'
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+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/libthrift-0.19.0-ha2b3283_1.conda
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   category: main
   optional: false
-- name: libdeflate
-  version: '1.18'
+- name: libtiff
+  version: 4.6.0
   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libdeflate-1.18-h1a8c8d9_0.conda
+  platform: linux-64
+  dependencies:
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+    libdeflate: '>=1.19,<1.20.0a0'
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+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.6.0-ha9c0a0a_2.conda
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   category: main
   optional: false
-- name: libev
-  version: '4.33'
+- name: libtiff
+  version: 4.6.0
   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libev-4.33-h642e427_1.tar.bz2
+  platform: osx-64
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+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libtiff-4.6.0-h684deea_2.conda
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   optional: false
-- name: libexpat
-  version: 2.5.0
+- name: libtiff
+  version: 4.6.0
   manager: conda
   platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libexpat-2.5.0-hb7217d7_1.conda
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+    xz: '>=5.2.6,<6.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
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   category: main
   optional: false
-- name: libffi
-  version: 3.4.2
+- name: libtiff
+  version: 4.6.0
   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libffi-3.4.2-h3422bc3_5.tar.bz2
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+    libdeflate: '>=1.19,<1.20.0a0'
+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+    xz: '>=5.2.6,<6.0a0'
+    zstd: '>=1.5.5,<1.6.0a0'
+  url: https://conda.anaconda.org/conda-forge/win-64/libtiff-4.6.0-h6e2ebb7_2.conda
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   optional: false
-- name: libiconv
-  version: '1.17'
+- name: libutf8proc
+  version: 2.8.0
   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libiconv-1.17-he4db4b2_0.tar.bz2
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+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/linux-64/libutf8proc-2.8.0-h166bdaf_0.tar.bz2
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   optional: false
-- name: libjpeg-turbo
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+- name: libutf8proc
+  version: 2.8.0
   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libjpeg-turbo-2.1.5.1-h1a8c8d9_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/libutf8proc-2.8.0-hb7f2c08_0.tar.bz2
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-- name: libsodium
-  version: 1.0.18
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   manager: conda
   platform: osx-arm64
   dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libsodium-1.0.18-h27ca646_1.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libutf8proc-2.8.0-h1a8c8d9_0.tar.bz2
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-- name: libtool
-  version: 2.4.7
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+  version: 2.8.0
   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libtool-2.4.7-hb7217d7_0.conda
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-- name: libutf8proc
-  version: 2.8.0
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libutf8proc-2.8.0-h1a8c8d9_0.tar.bz2
+  platform: linux-64
+  dependencies:
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-- name: libwebp-base
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+- name: libwebp
+  version: 1.3.2
   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libwebp-base-1.3.0-h1a8c8d9_0.conda
+  platform: linux-64
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+    libtiff: '>=4.6.0,<4.7.0a0'
+    libwebp-base: '>=1.3.2,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/libwebp-1.3.2-h658648e_1.conda
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-- name: libzlib
-  version: 1.2.13
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+  version: 1.3.2
   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.2.13-h53f4e23_5.conda
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+  dependencies:
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+    libtiff: '>=4.6.0,<4.7.0a0'
+    libwebp-base: '>=1.3.2,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/libwebp-1.3.2-h44782d1_1.conda
   hash:
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   optional: false
-- name: llvm-openmp
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+- name: libwebp
+  version: 1.3.2
   manager: conda
   platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-16.0.6-h1c12783_0.conda
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+    libtiff: '>=4.6.0,<4.7.0a0'
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   optional: false
-- name: lzo
-  version: '2.10'
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   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/lzo-2.10-h642e427_1000.tar.bz2
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+    vc: '>=14.2,<15'
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   hash:
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   optional: false
-- name: ncurses
-  version: '6.4'
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   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/ncurses-6.4-h7ea286d_0.conda
+  platform: linux-64
+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.3.2-hd590300_0.conda
   hash:
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   category: main
   optional: false
-- name: pandoc
-  version: 3.1.3
+- name: libwebp-base
+  version: 1.3.2
   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pandoc-3.1.3-hce30654_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-64/libwebp-base-1.3.2-h0dc2134_0.conda
   hash:
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   optional: false
-- name: pixman
-  version: 0.40.0
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   manager: conda
   platform: osx-arm64
   dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pixman-0.40.0-h27ca646_0.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/libwebp-base-1.3.2-hb547adb_0.conda
   hash:
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   optional: false
-- name: poppler-data
-  version: 0.4.12
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   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda
+  platform: win-64
+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/win-64/libwebp-base-1.3.2-hcfcfb64_0.conda
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   optional: false
-- name: pthread-stubs
-  version: '0.4'
+- name: libxcb
+  version: '1.15'
   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pthread-stubs-0.4-h27ca646_1001.tar.bz2
+  platform: linux-64
+  dependencies:
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+    xorg-libxdmcp: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.15-h0b41bf4_0.conda
   hash:
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   optional: false
-- name: python_abi
-  version: '3.11'
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+  version: '1.15'
   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/python_abi-3.11-3_cp311.conda
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+    xorg-libxdmcp: ''
+  url: https://conda.anaconda.org/conda-forge/osx-64/libxcb-1.15-hb7f2c08_0.conda
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   optional: false
-- name: tzcode
-  version: 2023c
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   manager: conda
   platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/tzcode-2023c-h1a8c8d9_0.conda
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   optional: false
-- name: tzdata
-  version: 2023c
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   manager: conda
-  platform: osx-arm64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2023c-h71feb2d_0.conda
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   optional: false
-- name: xorg-libxau
-  version: 1.0.11
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/xorg-libxau-1.0.11-hb547adb_0.conda
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   optional: false
-- name: xorg-libxdmcp
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   manager: conda
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-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/xorg-libxdmcp-1.1.3-h27ca646_0.tar.bz2
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-- name: xz
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-- name: yaml
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/yaml-0.2.5-h3422bc3_2.tar.bz2
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-- name: aws-c-compression
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   manager: conda
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-- name: aws-c-sdkutils
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   manager: conda
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+  platform: osx-64
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-- name: aws-checksums
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   dependencies:
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-- name: expat
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: fonts-conda-forge
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   manager: conda
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+  platform: linux-64
   dependencies:
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-    font-ttf-ubuntu: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2
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-- name: geos
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   manager: conda
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-- name: gettext
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-- name: gflags
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: graphite2
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/graphite2-1.3.13-h9f76cd9_1001.tar.bz2
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-- name: hdf4
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+  platform: osx-64
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+    python: '>=3.7'
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-- name: lerc
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   manager: conda
   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/lerc-4.0.0-h9a09cb3_0.tar.bz2
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+    python: '>=3.7'
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-- name: libabseil
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   manager: conda
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libabseil-20230125.2-cxx17_h13dd4ca_2.conda
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+    python: '>=3.7'
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   optional: false
-- name: libaec
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   manager: conda
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-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libaec-1.0.6-hb7217d7_1.conda
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+  url: https://conda.anaconda.org/conda-forge/osx-64/llvm-openmp-17.0.6-hb6ac08f_0.conda
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   optional: false
-- name: libbrotlidec
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   manager: conda
   platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/llvm-openmp-17.0.6-hcd81f8e_0.conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlidec-1.0.9-h1a8c8d9_8.tar.bz2
+    libgcc-ng: '>=12'
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+  url: https://conda.anaconda.org/conda-forge/linux-64/llvmlite-0.42.0-py311ha6695c7_1.conda
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-- name: libbrotlienc
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libbrotlienc-1.0.9-h1a8c8d9_8.tar.bz2
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-- name: libcrc32c
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   manager: conda
   platform: osx-arm64
   dependencies:
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   optional: false
-- name: libedit
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   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libedit-3.1.20191231-hc8eb9b7_2.tar.bz2
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   optional: false
-- name: libgfortran5
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+- name: locket
+  version: 1.0.0
   manager: conda
-  platform: osx-arm64
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   optional: false
-- name: libllvm14
-  version: 14.0.6
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+  version: 1.0.0
   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-    libzlib: '>=1.2.13,<1.3.0a0'
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-- name: libpng
-  version: 1.6.39
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   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libpng-1.6.39-h76d750c_0.conda
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-- name: libsqlite
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+- name: locket
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   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libsqlite-3.42.0-hb31c410_0.conda
+    python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*'
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-- name: libxcb
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+- name: lz4
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
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-    xorg-libxau: ''
-    xorg-libxdmcp: ''
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libxcb-1.15-hf346824_0.conda
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+    python_abi: 3.11.*
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-- name: libxml2
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   manager: conda
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+  platform: osx-64
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+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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-- name: lz4-c
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   manager: conda
   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/lz4-c-1.9.4-hb7217d7_0.conda
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+    python_abi: 3.11.*
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-- name: nspr
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   manager: conda
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/nspr-4.35-hb7217d7_0.conda
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-- name: openssl
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/openssl-3.1.1-h53f4e23_1.conda
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.9.4-hcb278e6_0.conda
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-- name: pcre2
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pcre2-10.40-hb34f9b4_0.tar.bz2
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-- name: re2
-  version: 2023.03.02
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   manager: conda
   platform: osx-arm64
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/re2-2023.03.02-hc5e2d97_0.conda
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/lz4-c-1.9.4-hb7217d7_0.conda
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-- name: readline
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: snappy
-  version: 1.1.10
+- name: lzo
+  version: '2.10'
   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/snappy-1.1.10-h17c5cce_0.conda
+    libgcc-ng: '>=7.5.0'
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-- name: tk
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   manager: conda
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/tk-8.6.12-he1e0b03_0.tar.bz2
+  platform: osx-64
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+  url: https://conda.anaconda.org/conda-forge/osx-64/lzo-2.10-haf1e3a3_1000.tar.bz2
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   optional: false
-- name: zeromq
-  version: 4.3.4
+- name: lzo
+  version: '2.10'
   manager: conda
   platform: osx-arm64
-  dependencies:
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-    libsodium: '>=1.0.18,<1.0.19.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/zeromq-4.3.4-hbdafb3b_1.tar.bz2
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/lzo-2.10-h642e427_1000.tar.bz2
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   optional: false
-- name: zlib
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+- name: lzo
+  version: '2.10'
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.2.13-h53f4e23_5.conda
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-- name: zstd
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+- name: m2w64-gcc-libgfortran
+  version: 5.3.0
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.2-hf913c23_6.conda
+    m2w64-gcc-libs-core: ''
+    msys2-conda-epoch: '20160418'
+  url: https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libgfortran-5.3.0-6.tar.bz2
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   optional: false
-- name: aws-c-cal
-  version: 0.5.27
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+  version: 5.3.0
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-c-cal-0.5.27-h92f41cd_0.conda
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+    msys2-conda-epoch: '20160418'
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   optional: false
-- name: blosc
-  version: 1.21.4
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+  version: 5.3.0
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-    libzlib: '>=1.2.13,<1.3.0a0'
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+    m2w64-libwinpthread-git: ''
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   optional: false
-- name: boost-cpp
-  version: 1.78.0
+- name: m2w64-gmp
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   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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+    msys2-conda-epoch: '20160418'
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   optional: false
-- name: brotli-bin
-  version: 1.0.9
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   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-- name: fonts-conda-ecosystem
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: freetype
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   manager: conda
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-- name: glog
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   manager: conda
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+  platform: win-64
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-- name: libarchive
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-- name: libevent
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-- name: libgfortran
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   dependencies:
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-- name: libglib
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+  platform: win-64
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-- name: libnghttp2
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   manager: conda
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-- name: libprotobuf
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-- name: libssh2
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   manager: conda
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-- name: libtiff
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   manager: conda
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-- name: libzip
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   manager: conda
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   manager: conda
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-- name: python
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   manager: conda
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+    nbformat: '>=5.0,<6'
+    sphinx: '>=4,<6'
+    myst-parser: '>=0.18.0,<0.19.0'
+    jupyter-cache: '>=0.5.0,<0.7.0'
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   optional: false
-- name: imagesize
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/imagesize-1.4.1-pyhd8ed1ab_0.tar.bz2
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+    python: '>=3.7'
+    pyyaml: ''
+    sphinx: '>=4,<6'
+    typing-extensions: ''
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-- name: ipython_genutils
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/ipython_genutils-0.2.0-py_1.tar.bz2
+    pyyaml: ''
+    typing-extensions: ''
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+    python: '>=3.7'
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+    sphinx: '>=4,<6'
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   category: main
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-- name: json5
-  version: 0.9.5
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   manager: conda
   platform: osx-arm64
   dependencies:
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.5-pyh9f0ad1d_0.tar.bz2
+    pyyaml: ''
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+    python: '>=3.7'
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+    sphinx: '>=4,<6'
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   category: main
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-- name: jupyterlab-myst
-  version: 2.0.0
+- name: myst-parser
+  version: 0.18.1
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
+    pyyaml: ''
+    typing-extensions: ''
+    jinja2: ''
     python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-myst-2.0.0-pyhd8ed1ab_0.conda
+    markdown-it-py: '>=1.0.0,<3.0.0'
+    sphinx: '>=4,<6'
+    docutils: '>=0.15,<0.20'
+    mdit-py-plugins: '>=0.3.1,<1'
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   category: main
   optional: false
-- name: kiwisolver
-  version: 1.4.4
+- name: nbclient
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
-    libcxx: '>=14.0.4'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/kiwisolver-1.4.4-py311hd6ee22a_1.tar.bz2
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+    nbformat: '>=5.1'
+    python: '>=3.7'
+    traitlets: '>=5.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.4-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: lcms2
-  version: '2.15'
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/lcms2-2.15-hd835a16_1.conda
+    python: '>=3.7'
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+    jupyter_core: '>=4.12,!=5.0.*'
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+    traitlets: '>=5.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.4-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: libcurl
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+- name: nbclient
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   manager: conda
   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libcurl-8.1.2-h912dcd9_0.conda
+    python: '>=3.7'
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+    jupyter_core: '>=4.12,!=5.0.*'
+    nbformat: '>=5.1'
+    traitlets: '>=5.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.4-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: libgrpc
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+- name: nbclient
+  version: 0.7.4
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-    libabseil: '>=20230125.2,<20230126.0a0'
-    libcxx: '>=15.0.7'
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libgrpc-1.55.1-hc384137_1.conda
+    python: '>=3.7'
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+    jupyter_core: '>=4.12,!=5.0.*'
+    nbformat: '>=5.1'
+    traitlets: '>=5.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/nbclient-0.7.4-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: libkml
-  version: 1.3.0
+- name: nbconvert-core
+  version: 7.16.0
   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
-    boost-cpp: '>=1.78.0,<1.78.1.0a0'
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-    libcxx: '>=14.0.4'
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libkml-1.3.0-h41464e4_1015.tar.bz2
+    beautifulsoup4: ''
+    bleach: ''
+    defusedxml: ''
+    entrypoints: '>=0.2.2'
+    jinja2: '>=3.0'
+    jupyter_core: '>=4.7'
+    jupyterlab_pygments: ''
+    markupsafe: '>=2.0'
+    mistune: '>=2.0.3,<4'
+    nbclient: '>=0.5.0'
+    nbformat: '>=5.1'
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+    pandocfilters: '>=1.4.1'
+    pygments: '>=2.4.1'
+    python: '>=3.8'
+    tinycss2: ''
+    traitlets: '>=5.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.0-pyhd8ed1ab_0.conda
   hash:
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   optional: false
-- name: libopenblas
-  version: 0.3.23
+- name: nbconvert-core
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-    libgfortran5: '>=11.3.0'
-    llvm-openmp: '>=14.0.6'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libopenblas-0.3.23-openmp_hc731615_0.conda
+    packaging: ''
+    beautifulsoup4: ''
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+    bleach: ''
+    tinycss2: ''
+    jupyterlab_pygments: ''
+    python: '>=3.8'
+    jinja2: '>=3.0'
+    entrypoints: '>=0.2.2'
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+    markupsafe: '>=2.0'
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+    pygments: '>=2.4.1'
+    nbclient: '>=0.5.0'
+    mistune: '>=2.0.3,<4'
+  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.0-pyhd8ed1ab_0.conda
   hash:
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   optional: false
-- name: libpq
-  version: '15.3'
+- name: nbconvert-core
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   manager: conda
   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libpq-15.3-h7126958_1.conda
+    packaging: ''
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+    python: '>=3.8'
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+    mistune: '>=2.0.3,<4'
+  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.0-pyhd8ed1ab_0.conda
   hash:
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   optional: false
-- name: libthrift
-  version: 0.18.1
+- name: nbconvert-core
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   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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+    packaging: ''
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+    jupyterlab_pygments: ''
+    python: '>=3.8'
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+  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.16.0-pyhd8ed1ab_0.conda
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   optional: false
-- name: libwebp
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
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+    jsonschema: '>=2.6'
+    jupyter_core: ''
+    python: '>=3.8'
+    python-fastjsonschema: ''
+    traitlets: '>=5.1'
+  url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.9.2-pyhd8ed1ab_0.conda
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   optional: false
-- name: llvmlite
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/llvmlite-0.40.1-py311hea943cd_0.conda
+    jupyter_core: ''
+    python-fastjsonschema: ''
+    python: '>=3.8'
+    traitlets: '>=5.1'
+    jsonschema: '>=2.6'
+  url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.9.2-pyhd8ed1ab_0.conda
   hash:
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   optional: false
-- name: locket
-  version: 1.0.0
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   manager: conda
   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2
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+    python-fastjsonschema: ''
+    python: '>=3.8'
+    traitlets: '>=5.1'
+    jsonschema: '>=2.6'
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   optional: false
-- name: lz4
-  version: 4.3.2
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   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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+    python: '>=3.8'
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+    jsonschema: '>=2.6'
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-- name: markupsafe
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/markupsafe-2.1.3-py311heffc1b2_0.conda
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-- name: mdurl
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.0-pyhd8ed1ab_0.tar.bz2
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-- name: mistune
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   manager: conda
   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/mistune-3.0.0-pyhd8ed1ab_0.conda
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-- name: msgpack-python
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   manager: conda
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+  platform: linux-64
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-- name: multidict
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   manager: conda
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+  platform: osx-64
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-- name: munkres
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   manager: conda
   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2
+    python: '>=3.5'
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-- name: openjpeg
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   manager: conda
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     libzlib: '>=1.2.13,<1.3.0a0'
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-- name: orc
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   manager: conda
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+  platform: osx-64
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     libzlib: '>=1.2.13,<1.3.0a0'
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+    numpy: '>=1.23.5,<2.0a0'
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+    python_abi: 3.11.*
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-- name: packaging
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/packaging-23.1-pyhd8ed1ab_0.conda
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-- name: pandocfilters
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   manager: conda
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+  platform: win-64
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-- name: param
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/param-1.13.0-pyh1a96a4e_0.conda
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-- name: parso
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.3-pyhd8ed1ab_0.tar.bz2
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-- name: pickleshare
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   manager: conda
   platform: osx-arm64
   dependencies:
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-- name: pkgutil-resolve-name
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   manager: conda
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+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_0.tar.bz2
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+    python: 2.7|>=3.7
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-- name: prometheus_client
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.17.0-pyhd8ed1ab_0.conda
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+    python: '>=3.7'
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-- name: psutil
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   manager: conda
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-- name: ptyprocess
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   platform: osx-arm64
   dependencies:
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-- name: pure_eval
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
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-- name: pyasn1
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pyasn1-0.4.8-py_0.tar.bz2
+    libgcc-ng: '>=12'
+    libstdcxx-ng: '>=12'
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-- name: python-tzdata
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-- name: pytz
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-- name: pyyaml
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-- name: rfc3986-validator
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-- name: six
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-- name: sniffio
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   dependencies:
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-- name: snowballstemmer
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-- name: uc-micro-py
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-- name: webencodings
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-- name: wheel
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-- name: xyzservices
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: y-py
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-- name: zict
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-- name: zipp
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   dependencies:
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-- name: accessible-pygments
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+  platform: win-64
   dependencies:
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   manager: conda
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+  platform: linux-64
   dependencies:
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+    python: '!=3.0,!=3.1,!=3.2,!=3.3'
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-- name: anyio
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-- name: asttokens
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.2.1-pyhd8ed1ab_0.conda
+    python: '!=3.0,!=3.1,!=3.2,!=3.3'
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-- name: async-lru
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   manager: conda
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+  platform: win-64
   dependencies:
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+    python: '!=3.0,!=3.1,!=3.2,!=3.3'
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-- name: aws-c-event-stream
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   manager: conda
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-- name: babel
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   manager: conda
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   dependencies:
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-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/babel-2.12.1-pyhd8ed1ab_1.conda
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-- name: backports.functools_lru_cache
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   manager: conda
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+  platform: win-64
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-- name: beautifulsoup4
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   manager: conda
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   dependencies:
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-    soupsieve: '>=1.2'
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-- name: bleach
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   manager: conda
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   dependencies:
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-- name: cairo
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   manager: conda
   platform: osx-arm64
   dependencies:
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+  url: https://conda.anaconda.org/conda-forge/osx-arm64/pango-1.50.14-hcf40dda_2.conda
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-- name: cffi
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   manager: conda
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+  platform: win-64
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-- name: cfitsio
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   manager: conda
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-- name: click-plugins
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+  platform: osx-64
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-- name: cligj
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-- name: comm
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-- name: curl
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   manager: conda
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-- name: cytoolz
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   manager: conda
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+  platform: osx-64
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-- name: fonttools
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   platform: osx-arm64
   dependencies:
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-- name: grpcio
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   manager: conda
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+  platform: win-64
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-- name: hdf5
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   manager: conda
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+  platform: linux-64
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-- name: importlib-metadata
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   manager: conda
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-- name: importlib_resources
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   platform: osx-arm64
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-- name: jedi
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   manager: conda
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-- name: jinja2
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: jupyterlab_pygments
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   manager: conda
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   dependencies:
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-- name: latexcodec
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/latexcodec-2.0.1-pyh9f0ad1d_0.tar.bz2
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-- name: libblas
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   manager: conda
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-- name: libgd
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   manager: conda
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+    python: '>=3.7'
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-- name: libgoogle-cloud
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   manager: conda
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-- name: linkify-it-py
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   manager: conda
   platform: osx-arm64
   dependencies:
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-- name: markdown-it-py
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-2.2.0-pyhd8ed1ab_0.conda
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-- name: matplotlib-inline
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   manager: conda
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+  platform: osx-64
   dependencies:
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-    python: '>=3.6'
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-- name: multipledispatch
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+- name: pickleshare
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   manager: conda
   platform: osx-arm64
   dependencies:
-    python: ''
-    six: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/multipledispatch-0.6.0-py_0.tar.bz2
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-- name: nodeenv
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   manager: conda
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+  platform: win-64
   dependencies:
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-    python: 2.7|>=3.7
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-- name: overrides
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: partd
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   manager: conda
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   dependencies:
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-- name: pexpect
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   manager: conda
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   dependencies:
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-    ptyprocess: '>=0.5'
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   category: main
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   manager: conda
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+  dependencies:
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     python: '>=3.9'
-  url: https://conda.anaconda.org/conda-forge/noarch/pint-0.22-pyhd8ed1ab_1.conda
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-- name: pip
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   manager: conda
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   dependencies:
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-    wheel: ''
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/pip-23.1.2-pyhd8ed1ab_0.conda
+    typing_extensions: ''
+    python: '>=3.9'
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+- name: pint
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+  platform: win-64
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+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/pint-0.23-pyhd8ed1ab_0.conda
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-- name: postgresql
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   manager: conda
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/postgresql-15.3-hb5ad9d5_1.conda
+    numpy: '>=1.17'
+    pint: '>=0.16'
+    python: '>=3.8'
+    xarray: '>=0.16.1'
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   optional: false
-- name: proj
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+- name: pint-xarray
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   manager: conda
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+  platform: osx-64
   dependencies:
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-- name: protobuf
-  version: 4.23.2
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   manager: conda
   platform: osx-arm64
   dependencies:
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-- name: pyasn1-modules
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   manager: conda
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+  platform: win-64
   dependencies:
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   optional: false
-- name: pyct-core
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+- name: pip
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
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-    param: '>=1.7.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pyct-core-0.4.6-py_0.tar.bz2
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   optional: false
-- name: pyobjc-core
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+- name: pip
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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     setuptools: ''
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-core-9.2-py311hb702dc4_0.conda
+    wheel: ''
+    python: '>=3.7'
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   category: main
   optional: false
-- name: python-dateutil
-  version: 2.8.2
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   manager: conda
   platform: osx-arm64
   dependencies:
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-    six: '>=1.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2
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+    python: '>=3.7'
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-- name: pyu2f
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   manager: conda
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+  platform: win-64
   dependencies:
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-    python: '>=2.7'
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+    wheel: ''
+    python: '>=3.7'
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-- name: pyviz_comms
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   manager: conda
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+  platform: linux-64
   dependencies:
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+    libstdcxx-ng: '>=12'
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-- name: rfc3339-validator
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   manager: conda
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+  platform: osx-64
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-- name: rsa
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-- name: terminado
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   manager: conda
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+  platform: win-64
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-- name: tinycss2
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+  platform: linux-64
   dependencies:
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-    webencodings: '>=0.4'
-  url: https://conda.anaconda.org/conda-forge/noarch/tinycss2-1.2.1-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.6'
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-- name: tqdm
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+  platform: osx-64
   dependencies:
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-    python: '>=3.7'
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-- name: typing-extensions
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-- name: xerces-c
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-- name: yarl
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   manager: conda
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-    multidict: '>=4.0'
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-- name: aiosqlite
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   manager: conda
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+    python: '>=3.8'
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-- name: argon2-cffi-bindings
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   manager: conda
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   dependencies:
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+    python: '>=3.8'
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-- name: async-timeout
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   manager: conda
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+  platform: win-64
   dependencies:
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+    python: '>=3.8'
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-- name: aws-c-auth
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: aws-c-mqtt
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   manager: conda
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+  platform: osx-64
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-- name: brotlipy
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   manager: conda
   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/brotlipy-0.7.0-py311he2be06e_1005.tar.bz2
+    python: '>=3.7'
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   optional: false
-- name: cryptography
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: geotiff
-  version: 1.7.1
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   manager: conda
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   dependencies:
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     libzlib: '>=1.2.13,<1.3.0a0'
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-- name: google-crc32c
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   manager: conda
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+    nss: '>=3.97,<4.0a0'
+    openjpeg: '>=2.5.0,<3.0a0'
+    poppler-data: ''
+  url: https://conda.anaconda.org/conda-forge/osx-64/poppler-24.02.0-h0c752f9_0.conda
   hash:
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   category: main
   optional: false
-- name: googleapis-common-protos
-  version: 1.59.1
+- name: poppler
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   manager: conda
   platform: osx-arm64
   dependencies:
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-    protobuf: '>=3.19.5,<5.0.0dev0,!=3.20.0,!=3.20.1,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/googleapis-common-protos-1.59.1-pyhd8ed1ab_0.conda
+    cairo: '>=1.18.0,<2.0a0'
+    fontconfig: '>=2.14.2,<3.0a0'
+    fonts-conda-ecosystem: ''
+    freetype: '>=2.12.1,<3.0a0'
+    gettext: '>=0.21.1,<1.0a0'
+    lcms2: '>=2.16,<3.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
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+    libzlib: '>=1.2.13,<1.3.0a0'
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+    nss: '>=3.97,<4.0a0'
+    openjpeg: '>=2.5.0,<3.0a0'
+    poppler-data: ''
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/poppler-24.02.0-h896e6cb_0.conda
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   category: main
   optional: false
-- name: harfbuzz
-  version: 7.3.0
+- name: poppler
+  version: 24.02.0
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
-    cairo: '>=1.16.0,<2.0a0'
+    cairo: '>=1.18.0,<2.0a0'
     freetype: '>=2.12.1,<3.0a0'
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-    icu: '>=72.1,<73.0a0'
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/harfbuzz-7.3.0-h46e5fef_0.conda
+    lcms2: '>=2.16,<3.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
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+    libjpeg-turbo: '>=3.0.0,<4.0a0'
+    libpng: '>=1.6.42,<1.7.0a0'
+    libtiff: '>=4.6.0,<4.7.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openjpeg: '>=2.5.0,<3.0a0'
+    poppler-data: ''
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/poppler-24.02.0-hc2f3c52_0.conda
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   category: main
   optional: false
-- name: importlib_metadata
-  version: 6.7.0
+- name: poppler-data
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   manager: conda
-  platform: osx-arm64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-6.7.0-hd8ed1ab_0.conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: jsonschema
-  version: 4.17.3
+- name: poppler-data
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   manager: conda
-  platform: osx-arm64
-  dependencies:
-    typing_extensions: ''
-    importlib-metadata: ''
-    python: '>=3.7'
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-  url: https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.17.3-pyhd8ed1ab_0.conda
+  platform: osx-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: jupyter_server_terminals
-  version: 0.4.4
+- name: poppler-data
+  version: 0.4.12
   manager: conda
   platform: osx-arm64
-  dependencies:
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-    terminado: '>=0.8.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_terminals-0.4.4-pyhd8ed1ab_1.conda
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: kealib
-  version: 1.5.1
+- name: poppler-data
+  version: 0.4.12
   manager: conda
-  platform: osx-arm64
-  dependencies:
-    hdf5: '>=1.14.0,<1.14.1.0a0'
-    libcxx: '>=15.0.7'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/kealib-1.5.1-hc851fbe_3.conda
+  platform: win-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: libcblas
-  version: 3.9.0
+- name: postgresql
+  version: '16.2'
   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
-    libblas: 3.9.0
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libcblas-3.9.0-17_osxarm64_openblas.conda
+    krb5: '>=1.21.2,<1.22.0a0'
+    libgcc-ng: '>=12'
+    libpq: '16.2'
+    libxml2: '>=2.12.5,<3.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    readline: '>=8.2,<9.0a0'
+    tzcode: ''
+    tzdata: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/postgresql-16.2-h7387d8b_0.conda
   hash:
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   category: main
   optional: false
-- name: liblapack
-  version: 3.9.0
+- name: postgresql
+  version: '16.2'
   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/liblapack-3.9.0-17_osxarm64_openblas.conda
+    krb5: '>=1.21.2,<1.22.0a0'
+    libpq: '16.2'
+    libxml2: '>=2.12.5,<3.0a0'
+    libzlib: '>=1.2.13,<1.3.0a0'
+    openssl: '>=3.2.1,<4.0a0'
+    readline: '>=8.2,<9.0a0'
+    tzcode: ''
+    tzdata: ''
+  url: https://conda.anaconda.org/conda-forge/osx-64/postgresql-16.2-hbd19fd8_0.conda
   hash:
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   category: main
   optional: false
-- name: libnetcdf
-  version: 4.9.2
+- name: postgresql
+  version: '16.2'
   manager: conda
   platform: osx-arm64
   dependencies:
-    blosc: '>=1.21.4,<2.0a0'
-    bzip2: '>=1.0.8,<2.0a0'
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-    libxml2: '>=2.11.3,<2.12.0a0'
-    libzip: '>=1.9.2,<2.0a0'
+    krb5: '>=1.21.2,<1.22.0a0'
+    libpq: '16.2'
+    libxml2: '>=2.12.5,<3.0a0'
     libzlib: '>=1.2.13,<1.3.0a0'
-    zstd: '>=1.5.2,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libnetcdf-4.9.2-nompi_h0a2dbf5_105.conda
+    openssl: '>=3.2.1,<4.0a0'
+    readline: '>=8.2,<9.0a0'
+    tzcode: ''
+    tzdata: ''
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/postgresql-16.2-h1d0603d_0.conda
   hash:
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   category: main
   optional: false
-- name: libspatialite
-  version: 5.0.1
+- name: postgresql
+  version: '16.2'
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-    libsqlite: '>=3.42.0,<4.0a0'
-    libxml2: '>=2.11.4,<2.12.0a0'
+    krb5: '>=1.21.2,<1.22.0a0'
+    libpq: '16.2'
+    libxml2: '>=2.12.5,<3.0a0'
     libzlib: '>=1.2.13,<1.3.0a0'
-    proj: '>=9.2.1,<9.2.2.0a0'
-    sqlite: ''
-    zlib: ''
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/libspatialite-5.0.1-h31468cf_27.conda
+    openssl: '>=3.2.1,<4.0a0'
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/postgresql-16.2-h1beaf6b_0.conda
   hash:
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   category: main
   optional: false
-- name: markdown
-  version: 3.4.3
+- name: pre-commit
+  version: 3.6.1
   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
-    python: '>=3.6'
-    importlib-metadata: '>=4.4'
-  url: https://conda.anaconda.org/conda-forge/noarch/markdown-3.4.3-pyhd8ed1ab_0.conda
+    cfgv: '>=2.0.0'
+    identify: '>=1.0.0'
+    nodeenv: '>=0.11.1'
+    python: '>=3.9'
+    pyyaml: '>=5.1'
+    virtualenv: '>=20.10.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.6.1-pyha770c72_0.conda
   hash:
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   category: main
   optional: false
-- name: mdit-py-plugins
-  version: 0.4.0
+- name: pre-commit
+  version: 3.6.1
   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-    markdown-it-py: '>=1.0.0,<4.0.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/mdit-py-plugins-0.4.0-pyhd8ed1ab_0.conda
+    python: '>=3.9'
+    pyyaml: '>=5.1'
+    identify: '>=1.0.0'
+    nodeenv: '>=0.11.1'
+    cfgv: '>=2.0.0'
+    virtualenv: '>=20.10.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.6.1-pyha770c72_0.conda
   hash:
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   category: main
   optional: false
-- name: platformdirs
-  version: 3.8.0
+- name: pre-commit
+  version: 3.6.1
   manager: conda
   platform: osx-arm64
   dependencies:
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-    typing-extensions: '>=4.6.3'
-  url: https://conda.anaconda.org/conda-forge/noarch/platformdirs-3.8.0-pyhd8ed1ab_0.conda
+    python: '>=3.9'
+    pyyaml: '>=5.1'
+    identify: '>=1.0.0'
+    nodeenv: '>=0.11.1'
+    cfgv: '>=2.0.0'
+    virtualenv: '>=20.10.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.6.1-pyha770c72_0.conda
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   category: main
   optional: false
-- name: poppler
-  version: 23.05.0
+- name: pre-commit
+  version: 3.6.1
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-    cairo: '>=1.16.0,<2.0a0'
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-    openjpeg: '>=2.5.0,<3.0a0'
-    poppler-data: ''
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/poppler-23.05.0-h16d8c84_1.conda
+    python: '>=3.9'
+    pyyaml: '>=5.1'
+    identify: '>=1.0.0'
+    nodeenv: '>=0.11.1'
+    cfgv: '>=2.0.0'
+    virtualenv: '>=20.10.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/pre-commit-3.6.1-pyha770c72_0.conda
   hash:
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   category: main
   optional: false
-- name: pybtex
-  version: 0.24.0
+- name: proj
+  version: 9.3.1
   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
-    setuptools: ''
-    six: ''
-    python: '>=3.6'
-    latexcodec: '>=1.0.4'
-    pyyaml: '>=3.01'
-  url: https://conda.anaconda.org/conda-forge/noarch/pybtex-0.24.0-pyhd8ed1ab_2.tar.bz2
+    libcurl: '>=8.4.0,<9.0a0'
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+    libstdcxx-ng: '>=12'
+    libtiff: '>=4.6.0,<4.7.0a0'
+    sqlite: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/proj-9.3.1-h1d62c97_0.conda
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-- name: pyobjc-framework-cocoa
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   manager: conda
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+  platform: osx-64
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyobjc-framework-cocoa-9.2-py311hb702dc4_0.conda
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+    libtiff: '>=4.6.0,<4.7.0a0'
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-- name: pyproj
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   manager: conda
   platform: osx-arm64
   dependencies:
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-    python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pyproj-3.6.0-py311h280d66e_1.conda
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+    libtiff: '>=4.6.0,<4.7.0a0'
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-- name: sqlalchemy
-  version: 2.0.16
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   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-    python: '>=3.11,<3.12.0a0'
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/sqlalchemy-2.0.16-py311heffc1b2_0.conda
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   optional: false
-- name: stack_data
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+- name: prometheus_client
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
-    executing: ''
-    asttokens: ''
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-    python: '>=3.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
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-- name: tiledb
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/tiledb-2.13.2-h9bd36d0_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.20.0-pyhd8ed1ab_0.conda
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-- name: ukkonen
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+- name: prometheus_client
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   manager: conda
   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/ukkonen-1.0.1-py311hd6ee22a_3.tar.bz2
+    python: '>=3.8'
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-- name: wcwidth
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   manager: conda
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+  platform: win-64
   dependencies:
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-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.6-pyhd8ed1ab_0.conda
+    python: '>=3.8'
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-- name: aiohttp
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/aiohttp-3.8.4-py311heffc1b2_1.conda
+    python: '>=3.7'
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+  url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
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-- name: argon2-cffi
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   manager: conda
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+  platform: osx-64
   dependencies:
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-- name: aws-c-s3
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+  url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.42-pyha770c72_0.conda
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-- name: dask-core
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: google-resumable-media
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: identify
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   manager: conda
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   dependencies:
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-- name: jupyter_core
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   dependencies:
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+  url: https://conda.anaconda.org/conda-forge/osx-arm64/protobuf-4.25.1-py311he791500_0.conda
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-- name: jupyter_events
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   manager: conda
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   dependencies:
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-- name: jupyter_ydoc
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: libgdal
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   manager: conda
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+    python_abi: 3.11.*
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-- name: numpy
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   manager: conda
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-- name: oauthlib
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   manager: conda
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+  platform: win-64
   dependencies:
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-- name: pango
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   manager: conda
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-- name: prompt-toolkit
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   manager: conda
-  platform: osx-arm64
-  dependencies:
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-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.38-pyha770c72_0.conda
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-- name: pybtex-docutils
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   manager: conda
   platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/pthread-stubs-0.4-h27ca646_1001.tar.bz2
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-    pybtex: '>=0.16'
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/pybtex-docutils-1.0.2-py311h267d04e_2.tar.bz2
+    m2w64-gcc-libs: ''
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-- name: pyopenssl
-  version: 23.2.0
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   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-    cryptography: '>=38.0.0,<42,!=40.0.0,!=40.0.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-23.2.0-pyhd8ed1ab_1.conda
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-- name: send2trash
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
-    __osx: ''
-    pyobjc-framework-cocoa: ''
-    python: '>=3.6'
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-- name: virtualenv
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-    distlib: <1,>=0.3.6
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-- name: ypy-websocket
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   manager: conda
   platform: osx-arm64
   dependencies:
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-- name: aws-crt-cpp
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-crt-cpp-0.20.2-h37dd33e_9.conda
+    python: '>=3.5'
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   optional: false
-- name: cftime
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/cftime-1.6.2-py311h4add359_1.tar.bz2
+    python: '>=3.5'
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-- name: contourpy
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   manager: conda
   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/contourpy-1.1.0-py311he4fd1f5_0.conda
+    python: '>=3.5'
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-- name: datashape
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   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/datashape-0.5.4-py_1.tar.bz2
+    python: '>=3.5'
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   optional: false
-- name: gsw
-  version: 3.6.17
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
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+    libarrow-acero: 15.0.0
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     numpy: '>=1.23.5,<2.0a0'
     python: '>=3.11,<3.12.0a0'
     python_abi: 3.11.*
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/gsw-3.6.17-py311hb49d859_0.conda
+  url: https://conda.anaconda.org/conda-forge/linux-64/pyarrow-15.0.0-py311h39c9aba_2_cpu.conda
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-- name: gtk2
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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+    numpy: '>=1.23.5,<2.0a0'
+    python: '>=3.11,<3.12.0a0'
+    python_abi: 3.11.*
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-- name: jupyter_client
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   manager: conda
   platform: osx-arm64
   dependencies:
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-    python-dateutil: '>=2.8.2'
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-- name: librsvg
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   manager: conda
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+  platform: win-64
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+    libarrow-acero: 15.0.0
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-- name: nbformat
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
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-    python-fastjsonschema: ''
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   manager: conda
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+  platform: osx-64
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-- name: numcodecs
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+- name: pyarrow-hotfix
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   manager: conda
   platform: osx-arm64
   dependencies:
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-- name: pandas
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+  version: '0.6'
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-- name: pre-commit
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   manager: conda
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+  platform: linux-64
   dependencies:
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-    pyyaml: '>=5.1'
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-- name: prompt_toolkit
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-- name: shapely
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   manager: conda
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+    python: '!=3.0,!=3.1,!=3.2,!=3.3,!=3.4,!=3.5'
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-- name: snuggs
-  version: 1.4.7
+- name: pyasn1
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   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/snuggs-1.4.7-py_0.tar.bz2
+    python: '!=3.0,!=3.1,!=3.2,!=3.3,!=3.4,!=3.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/pyasn1-0.5.1-pyhd8ed1ab_0.conda
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-- name: urllib3
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   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
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-    python: <4.0
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-    pysocks: '>=1.5.6,<2.0,!=1.5.7'
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-  url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.15-pyhd8ed1ab_0.conda
+    pyasn1: '>=0.4.6,<0.6.0'
+    python: '>=3.6'
+  url: https://conda.anaconda.org/conda-forge/noarch/pyasn1-modules-0.3.0-pyhd8ed1ab_0.conda
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-- name: aws-sdk-cpp
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+- name: pyasn1-modules
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/aws-sdk-cpp-1.10.57-h9b90b14_14.conda
+    python: '>=3.6'
+    pyasn1: '>=0.4.6,<0.6.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/pyasn1-modules-0.3.0-pyhd8ed1ab_0.conda
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-- name: bokeh
-  version: 3.1.1
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   manager: conda
   platform: osx-arm64
   dependencies:
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-    numpy: '>=1.16'
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-  url: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.1.1-pyhd8ed1ab_0.conda
+    python: '>=3.6'
+    pyasn1: '>=0.4.6,<0.6.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/pyasn1-modules-0.3.0-pyhd8ed1ab_0.conda
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-- name: distributed
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   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.6.1-pyhd8ed1ab_0.conda
+    python: '>=3.6'
+    pyasn1: '>=0.4.6,<0.6.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/pyasn1-modules-0.3.0-pyhd8ed1ab_0.conda
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   optional: false
-- name: graphviz
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+- name: pybtex
+  version: 0.24.0
   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/graphviz-8.0.5-h10878c0_0.conda
+    latexcodec: '>=1.0.4'
+    python: '>=3.6'
+    pyyaml: '>=3.01'
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+  url: https://conda.anaconda.org/conda-forge/noarch/pybtex-0.24.0-pyhd8ed1ab_2.tar.bz2
   hash:
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   optional: false
-- name: ipython
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-    decorator: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/ipython-8.14.0-pyhd1c38e8_0.conda
+    setuptools: ''
+    six: ''
+    python: '>=3.6'
+    latexcodec: '>=1.0.4'
+    pyyaml: '>=3.01'
+  url: https://conda.anaconda.org/conda-forge/noarch/pybtex-0.24.0-pyhd8ed1ab_2.tar.bz2
   hash:
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   optional: false
-- name: matplotlib-base
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   manager: conda
   platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/osx-arm64/matplotlib-base-3.7.1-py311h99a5f44_0.conda
+    setuptools: ''
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+    python: '>=3.6'
+    latexcodec: '>=1.0.4'
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+  url: https://conda.anaconda.org/conda-forge/noarch/pybtex-0.24.0-pyhd8ed1ab_2.tar.bz2
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-- name: sphinxcontrib-bibtex
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-- name: sphinxext-rediraffe
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+  platform: win-64
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-- name: cartopy
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-- name: datashader
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   manager: conda
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   dependencies:
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-- name: google-cloud-core
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-- name: holoviews
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-- name: jupyter-resource-usage
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-- name: jupyter-server-proxy
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-- name: jupyter_server_fileid
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-- name: jupyterlab_server
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-- name: myst-nb
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   manager: conda
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-- name: nbconvert
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-- name: notebook-shim
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-  url: https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.3-pyhd8ed1ab_0.conda
+    __win: ''
+    win_inet_pton: ''
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh0701188_6.tar.bz2
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   category: main
   optional: false
-- name: rioxarray
-  version: 0.14.1
+- name: python
+  version: 3.11.8
   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
-    scipy: ''
-    packaging: ''
-    python: '>=3.9'
-    numpy: '>=1.21'
-    rasterio: '>=1.2'
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   category: main
   optional: false
-- name: sphinx-book-theme
-  version: 1.0.1
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
-    python: '>=3.7'
-    sphinx: '>=4,<7'
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-book-theme-1.0.1-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: geoviews-core
-  version: 1.10.0
+- name: python
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   manager: conda
   platform: osx-arm64
   dependencies:
-    packaging: ''
-    pyproj: ''
-    python: '>=3.8'
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-  url: https://conda.anaconda.org/conda-forge/noarch/geoviews-core-1.10.0-pyha770c72_0.conda
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   optional: false
-- name: google-cloud-storage
-  version: 2.9.0
+- name: python
+  version: 3.11.8
   manager: conda
-  platform: osx-arm64
+  platform: win-64
+  dependencies:
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+    xz: '>=5.2.6,<6.0a0'
+  url: https://conda.anaconda.org/conda-forge/win-64/python-3.11.8-h2628c8c_0_cpython.conda
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+  platform: linux-64
   dependencies:
     python: '>=3.6'
-    requests: '>=2.18.0,<3.0.0dev'
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-  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-2.9.0-pyh1a96a4e_0.conda
+    six: '>=1.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: hvplot
-  version: 0.8.4
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   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
-    pandas: ''
-    packaging: ''
     python: '>=3.6'
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-  url: https://conda.anaconda.org/conda-forge/noarch/hvplot-0.8.4-pyhd8ed1ab_1.conda
+    six: '>=1.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: jupyter-book
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+- name: python-dateutil
+  version: 2.8.2
   manager: conda
   platform: osx-arm64
   dependencies:
-    pyyaml: ''
-    jinja2: ''
-    sphinx-copybutton: ''
-    sphinx-togglebutton: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter-book-0.15.1-pyhd8ed1ab_0.conda
+    python: '>=3.6'
+    six: '>=1.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: jupyter_server_ydoc
-  version: 0.8.0
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+  version: 2.8.2
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-    jupyter_ydoc: '>=0.2.0,<0.4.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_ydoc-0.8.0-pyhd8ed1ab_0.conda
+    python: '>=3.6'
+    six: '>=1.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2
   hash:
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   category: main
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-- name: jupyterlab
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+- name: python-fastjsonschema
+  version: 2.19.1
   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
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-    traitlets: ''
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-    tomli: ''
-    jupyter_core: ''
-    python: '>=3.8'
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.2-pyhd8ed1ab_0.conda
+    python: '>=3.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: nbclassic
-  version: 1.0.0
+- name: python-fastjsonschema
+  version: 2.19.1
   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
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-    nbformat: ''
-    prometheus_client: ''
-    ipykernel: ''
-    ipython_genutils: ''
-    argon2-cffi: ''
-    python: '>=3.7'
-    tornado: '>=6.1'
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-  url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-1.0.0-pyhb4ecaf3_1.conda
+    python: '>=3.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: sphinx-exercise
-  version: 0.4.0
+- name: python-fastjsonschema
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   manager: conda
   platform: osx-arm64
   dependencies:
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-    python: '>=3.6'
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-exercise-0.4.0-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: dask-labextension
-  version: 6.1.0
+- name: python-fastjsonschema
+  version: 2.19.1
   manager: conda
-  platform: osx-arm64
+  platform: win-64
   dependencies:
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-    bokeh: '>=1.0.0,!=2.0.0'
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-  url: https://conda.anaconda.org/conda-forge/noarch/dask-labextension-6.1.0-pyhd8ed1ab_0.conda
+    python: '>=3.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.19.1-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: gcsfs
-  version: 2023.6.0
+- name: python-graphviz
+  version: 0.20.1
   manager: conda
-  platform: osx-arm64
+  platform: linux-64
   dependencies:
-    requests: ''
-    aiohttp: ''
-    google-auth-oauthlib: ''
-    python: '>=3.7'
-    google-auth: '>=1.2'
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-    google-cloud-storage: '>1.40'
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-  url: https://conda.anaconda.org/conda-forge/noarch/gcsfs-2023.6.0-pyhd8ed1ab_0.conda
+    graphviz: '>=2.46.1'
+    python: '>=3'
+  url: https://conda.anaconda.org/conda-forge/noarch/python-graphviz-0.20.1-pyh22cad53_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: notebook
-  version: 6.5.4
+- name: python-graphviz
+  version: 0.20.1
   manager: conda
-  platform: osx-arm64
+  platform: osx-64
   dependencies:
-    jinja2: ''
-    nbformat: ''
-    prometheus_client: ''
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-    ipython_genutils: ''
-    argon2-cffi: ''
-    python: '>=3.7'
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-    nbclassic: '>=0.4.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/notebook-6.5.4-pyha770c72_0.conda
+    python: '>=3'
+    graphviz: '>=2.46.1'
+  url: https://conda.anaconda.org/conda-forge/noarch/python-graphviz-0.20.1-pyh22cad53_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: ca-certificates
-  version: 2023.5.7
+- name: python-graphviz
+  version: 0.20.1
   manager: conda
-  platform: win-64
-  dependencies: {}
-  url: https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2023.5.7-h56e8100_0.conda
+  platform: osx-arm64
+  dependencies:
+    python: '>=3'
+    graphviz: '>=2.46.1'
+  url: https://conda.anaconda.org/conda-forge/noarch/python-graphviz-0.20.1-pyh22cad53_0.tar.bz2
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-- name: c-ares
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-- name: fribidi
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-- name: geos
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-- name: getopt-win32
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-- name: graphite2
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+  platform: linux-64
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-- name: icu
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+  platform: osx-64
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-- name: lerc
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+  platform: osx-arm64
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-- name: libabseil
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   platform: win-64
   dependencies:
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-- name: libaec
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   manager: conda
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+  platform: linux-64
   dependencies:
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-- name: libbrotlicommon
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   manager: conda
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+  platform: osx-64
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-- name: libcrc32c
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-- name: libdeflate
-  version: '1.18'
+- name: pyzmq
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   manager: conda
   platform: win-64
   dependencies:
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+    python: '>=3.11,<3.12.0a0'
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     vc: '>=14.2,<15'
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-  url: https://conda.anaconda.org/conda-forge/win-64/libdeflate-1.18-hcfcfb64_0.conda
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   optional: false
-- name: libffi
-  version: 3.4.2
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   manager: conda
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+  platform: linux-64
   dependencies:
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+  url: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.3.9-py311ha38370a_2.conda
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   optional: false
-- name: libiconv
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+- name: rasterio
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   manager: conda
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+  platform: osx-64
   dependencies:
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-- name: libjpeg-turbo
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+  platform: osx-arm64
+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/osx-arm64/rasterio-1.3.9-py311h31af29f_2.conda
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   platform: win-64
   dependencies:
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-- name: libsodium
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+- name: rdma-core
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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   optional: false
-- name: libsqlite
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+- name: re2
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   manager: conda
-  platform: win-64
+  platform: linux-64
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-- name: zlib
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   manager: conda
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-- name: zstd
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-- name: affine
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+  platform: osx-64
   dependencies:
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-- name: aiofiles
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   manager: conda
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+  platform: osx-arm64
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-- name: alabaster
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-- name: asciitree
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-- name: backcall
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-- name: backports
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-- name: blinker
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-- name: blosc
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-- name: boost-cpp
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-- name: brotli-bin
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+  platform: linux-64
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-- name: cachetools
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-- name: certifi
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   dependencies:
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-- name: cfgv
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   platform: win-64
   dependencies:
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-- name: charset-normalizer
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.1.0-pyhd8ed1ab_0.conda
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   manager: conda
   platform: win-64
   dependencies:
     python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/ipython_genutils-0.2.0-py_1.tar.bz2
+    numpy: ''
+    pyparsing: '>=2.1.6'
+  url: https://conda.anaconda.org/conda-forge/noarch/snuggs-1.4.7-py_0.tar.bz2
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   optional: false
-- name: json5
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    python: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/json5-0.9.5-pyh9f0ad1d_0.tar.bz2
+    python: '>=2.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_0.tar.bz2
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   optional: false
-- name: jupyterlab-myst
-  version: 2.0.0
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+  version: 2.4.0
   manager: conda
-  platform: win-64
+  platform: osx-64
   dependencies:
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-myst-2.0.0-pyhd8ed1ab_0.conda
+    python: '>=2.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_0.tar.bz2
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   category: main
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-- name: kiwisolver
-  version: 1.4.4
+- name: sortedcontainers
+  version: 2.4.0
   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
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-    python_abi: 3.11.*
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-  url: https://conda.anaconda.org/conda-forge/win-64/kiwisolver-1.4.4-py311h005e61a_1.tar.bz2
+    python: '>=2.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_0.tar.bz2
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   category: main
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-- name: libarchive
-  version: 3.6.2
+- name: sortedcontainers
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   manager: conda
   platform: win-64
   dependencies:
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-    libxml2: '>=2.11.3,<2.12.0a0'
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-  url: https://conda.anaconda.org/conda-forge/win-64/libarchive-3.6.2-h6f8411a_1.conda
+    python: '>=2.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/sortedcontainers-2.4.0-pyhd8ed1ab_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: libcurl
-  version: 8.1.2
+- name: soupsieve
+  version: '2.5'
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    krb5: '>=1.20.1,<1.21.0a0'
-    libssh2: '>=1.10.0,<2.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
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-    vc14_runtime: '>=14.29.30139'
-  url: https://conda.anaconda.org/conda-forge/win-64/libcurl-8.1.2-h68f0423_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
   hash:
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   category: main
   optional: false
-- name: libglib
-  version: 2.76.3
+- name: soupsieve
+  version: '2.5'
   manager: conda
-  platform: win-64
+  platform: osx-64
   dependencies:
-    gettext: '>=0.21.1,<1.0a0'
-    libffi: '>=3.4,<4.0a0'
-    libiconv: '>=1.17,<2.0a0'
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-    vc14_runtime: '>=14.29.30139'
-  url: https://conda.anaconda.org/conda-forge/win-64/libglib-2.76.3-he8f3873_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
   hash:
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   category: main
   optional: false
-- name: libgrpc
-  version: 1.55.1
+- name: soupsieve
+  version: '2.5'
   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
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-    libabseil: '>=20230125.2,<20230126.0a0'
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-    vc14_runtime: '>=14.29.30139'
-  url: https://conda.anaconda.org/conda-forge/win-64/libgrpc-1.55.1-h0c1e3fa_1.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
   hash:
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-    sha256: bd89b5b2b30d621b7305e65c157ce5c48f0d2982ea4af552a5b507a8dd26c8be
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   category: main
   optional: false
-- name: libhwloc
-  version: 2.9.1
+- name: soupsieve
+  version: '2.5'
   manager: conda
   platform: win-64
   dependencies:
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-    pthreads-win32: ''
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-  url: https://conda.anaconda.org/conda-forge/win-64/libhwloc-2.9.1-nocuda_h15da153_6.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/soupsieve-2.5-pyhd8ed1ab_1.conda
+  hash:
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+    sha256: 54ae221033db8fbcd4998ccb07f3c3828b4d77e73b0c72b18c1d6a507059059c
+  category: main
+  optional: false
+- name: sphinx
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+  manager: conda
+  platform: linux-64
+  dependencies:
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+    babel: '>=1.3'
+    colorama: '>=0.3.5'
+    docutils: '>=0.14,<0.19'
+    imagesize: ''
+    importlib-metadata: '>=4.4'
+    jinja2: '>=2.3'
+    packaging: ''
+    pygments: '>=2.0'
+    python: '>=3.6'
+    requests: '>=2.5.0'
+    snowballstemmer: '>=1.1'
+    sphinxcontrib-applehelp: ''
+    sphinxcontrib-devhelp: ''
+    sphinxcontrib-htmlhelp: '>=2.0.0'
+    sphinxcontrib-jsmath: ''
+    sphinxcontrib-qthelp: ''
+    sphinxcontrib-serializinghtml: '>=1.1.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-5.0.2-pyh6c4a22f_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: libpq
-  version: '15.3'
+- name: sphinx
+  version: 5.0.2
   manager: conda
-  platform: win-64
+  platform: osx-64
   dependencies:
-    krb5: '>=1.20.1,<1.21.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
-    openssl: '>=3.1.0,<4.0a0'
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-    vc14_runtime: '>=14.29.30139'
-  url: https://conda.anaconda.org/conda-forge/win-64/libpq-15.3-ha9684e8_1.conda
+    packaging: ''
+    sphinxcontrib-jsmath: ''
+    sphinxcontrib-applehelp: ''
+    sphinxcontrib-devhelp: ''
+    sphinxcontrib-qthelp: ''
+    imagesize: ''
+    python: '>=3.6'
+    importlib-metadata: '>=4.4'
+    pygments: '>=2.0'
+    alabaster: '>=0.7,<0.8'
+    requests: '>=2.5.0'
+    jinja2: '>=2.3'
+    snowballstemmer: '>=1.1'
+    babel: '>=1.3'
+    sphinxcontrib-htmlhelp: '>=2.0.0'
+    sphinxcontrib-serializinghtml: '>=1.1.5'
+    colorama: '>=0.3.5'
+    docutils: '>=0.14,<0.19'
+  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-5.0.2-pyh6c4a22f_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: libthrift
-  version: 0.18.1
+- name: sphinx
+  version: 5.0.2
   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
-    libevent: '>=2.1.12,<2.1.13.0a0'
-    libzlib: '>=1.2.13,<1.3.0a0'
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-  url: https://conda.anaconda.org/conda-forge/win-64/libthrift-0.18.1-h06f6336_2.conda
+    packaging: ''
+    sphinxcontrib-jsmath: ''
+    sphinxcontrib-applehelp: ''
+    sphinxcontrib-devhelp: ''
+    sphinxcontrib-qthelp: ''
+    imagesize: ''
+    python: '>=3.6'
+    importlib-metadata: '>=4.4'
+    pygments: '>=2.0'
+    alabaster: '>=0.7,<0.8'
+    requests: '>=2.5.0'
+    jinja2: '>=2.3'
+    snowballstemmer: '>=1.1'
+    babel: '>=1.3'
+    sphinxcontrib-htmlhelp: '>=2.0.0'
+    sphinxcontrib-serializinghtml: '>=1.1.5'
+    colorama: '>=0.3.5'
+    docutils: '>=0.14,<0.19'
+  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-5.0.2-pyh6c4a22f_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: libtiff
-  version: 4.5.1
+- name: sphinx
+  version: 5.0.2
   manager: conda
   platform: win-64
   dependencies:
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-    libdeflate: '>=1.18,<1.19.0a0'
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-    zstd: '>=1.5.2,<1.6.0a0'
-  url: https://conda.anaconda.org/conda-forge/win-64/libtiff-4.5.1-h6c8260b_0.conda
+    packaging: ''
+    sphinxcontrib-jsmath: ''
+    sphinxcontrib-applehelp: ''
+    sphinxcontrib-devhelp: ''
+    sphinxcontrib-qthelp: ''
+    imagesize: ''
+    python: '>=3.6'
+    importlib-metadata: '>=4.4'
+    pygments: '>=2.0'
+    alabaster: '>=0.7,<0.8'
+    requests: '>=2.5.0'
+    jinja2: '>=2.3'
+    snowballstemmer: '>=1.1'
+    babel: '>=1.3'
+    sphinxcontrib-htmlhelp: '>=2.0.0'
+    sphinxcontrib-serializinghtml: '>=1.1.5'
+    colorama: '>=0.3.5'
+    docutils: '>=0.14,<0.19'
+  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-5.0.2-pyh6c4a22f_0.tar.bz2
   hash:
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   category: main
   optional: false
-- name: llvmlite
-  version: 0.40.1
+- name: sphinx-book-theme
+  version: 1.0.1
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    libzlib: '>=1.2.13,<1.3.0a0'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
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-    vs2015_runtime: ''
-  url: https://conda.anaconda.org/conda-forge/win-64/llvmlite-0.40.1-py311h5bc0dda_0.conda
+    pydata-sphinx-theme: '>=0.13.3'
+    python: '>=3.7'
+    sphinx: '>=4,<7'
+  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-book-theme-1.0.1-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: locket
-  version: 1.0.0
+- name: sphinx-book-theme
+  version: 1.0.1
   manager: conda
-  platform: win-64
+  platform: osx-64
   dependencies:
-    python: '>=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*'
-  url: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.7'
+    sphinx: '>=4,<7'
+    pydata-sphinx-theme: '>=0.13.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-book-theme-1.0.1-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: lz4
-  version: 4.3.2
+- name: sphinx-book-theme
+  version: 1.0.1
   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
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-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
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-  url: https://conda.anaconda.org/conda-forge/win-64/lz4-4.3.2-py311haddf500_0.conda
+    python: '>=3.7'
+    sphinx: '>=4,<7'
+    pydata-sphinx-theme: '>=0.13.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-book-theme-1.0.1-pyhd8ed1ab_0.conda
   hash:
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   category: main
   optional: false
-- name: markupsafe
-  version: 2.1.3
+- name: sphinx-book-theme
+  version: 1.0.1
   manager: conda
   platform: win-64
   dependencies:
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
-    ucrt: '>=10.0.20348.0'
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-  url: https://conda.anaconda.org/conda-forge/win-64/markupsafe-2.1.3-py311ha68e1ae_0.conda
+    python: '>=3.7'
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-- name: mdurl
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/mdurl-0.1.0-pyhd8ed1ab_0.tar.bz2
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-- name: mistune
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   manager: conda
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+  platform: osx-64
   dependencies:
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+    docutils: ''
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-- name: msgpack-python
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-- name: multidict
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   platform: win-64
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-- name: munkres
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   manager: conda
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+  platform: linux-64
   dependencies:
     python: ''
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-- name: nest-asyncio
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/nest-asyncio-1.5.6-pyhd8ed1ab_0.tar.bz2
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-- name: orc
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+    sphinx: '>=1.8'
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-- name: packaging
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/packaging-23.1-pyhd8ed1ab_0.conda
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-- name: pandocfilters
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pandocfilters-1.5.0-pyhd8ed1ab_0.tar.bz2
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-- name: param
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/param-1.13.0-pyh1a96a4e_0.conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/parso-0.8.3-pyhd8ed1ab_0.tar.bz2
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-- name: pickleshare
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   dependencies:
     python: '>=3'
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-- name: pkgutil-resolve-name
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   manager: conda
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+  platform: linux-64
   dependencies:
     python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/pkgutil-resolve-name-1.3.10-pyhd8ed1ab_0.tar.bz2
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-- name: prometheus_client
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/prometheus_client-0.17.0-pyhd8ed1ab_0.conda
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-- name: psutil
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-- name: pthread-stubs
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   manager: conda
   platform: win-64
   dependencies:
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-- name: pure_eval
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pure_eval-0.2.2-pyhd8ed1ab_0.tar.bz2
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-- name: pyasn1
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pyasn1-0.4.8-py_0.tar.bz2
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+    python: '>=3.6'
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-- name: pycparser
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pycparser-2.21-pyhd8ed1ab_0.tar.bz2
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-- name: pygments
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   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/pygments-2.15.1-pyhd8ed1ab_0.conda
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-- name: pyjwt
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   manager: conda
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   dependencies:
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-- name: xorg-kbproto
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   dependencies:
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-- name: jupyterlab_pygments
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-- name: latexcodec
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-- name: libxcb
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+- name: tiledb
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-    m2w64-gcc-libs-core: ''
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-  url: https://conda.anaconda.org/conda-forge/win-64/libxcb-1.15-hcd874cb_0.conda
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-- name: linkify-it-py
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   manager: conda
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+  platform: osx-64
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-- name: markdown-it-py
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   manager: conda
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+  platform: osx-arm64
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-    typing_extensions: '>=3.7.4'
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-  url: https://conda.anaconda.org/conda-forge/noarch/markdown-it-py-2.2.0-pyhd8ed1ab_0.conda
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-- name: matplotlib-inline
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   manager: conda
   platform: win-64
   dependencies:
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-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/matplotlib-inline-0.1.6-pyhd8ed1ab_0.tar.bz2
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-- name: multipledispatch
-  version: 0.6.0
+- name: tinycss2
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   manager: conda
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+  platform: linux-64
   dependencies:
-    python: ''
-    six: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/multipledispatch-0.6.0-py_0.tar.bz2
+    python: '>=3.5'
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-- name: nodeenv
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+  version: 1.2.1
   manager: conda
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+  platform: osx-64
   dependencies:
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-    python: 2.7|>=3.7
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+    python: '>=3.5'
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-- name: openjpeg
-  version: 2.5.0
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+  version: 1.2.1
   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/openjpeg-2.5.0-ha2aaf27_2.conda
+    python: '>=3.5'
+    webencodings: '>=0.4'
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-- name: overrides
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   manager: conda
   platform: win-64
   dependencies:
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-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/overrides-7.3.1-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.5'
+    webencodings: '>=0.4'
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-- name: partd
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   manager: conda
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+  platform: linux-64
   dependencies:
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-    locket: ''
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/partd-1.4.0-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
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-- name: pint
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   manager: conda
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+  platform: osx-64
   dependencies:
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-    python: '>=3.9'
-  url: https://conda.anaconda.org/conda-forge/noarch/pint-0.22-pyhd8ed1ab_1.conda
+    libzlib: '>=1.2.13,<1.3.0a0'
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-- name: pip
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-    wheel: ''
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/pip-23.1.2-pyhd8ed1ab_0.conda
+    libzlib: '>=1.2.13,<1.3.0a0'
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-- name: postgresql
-  version: '15.3'
+- name: tk
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   manager: conda
   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/postgresql-15.3-h96452e4_1.conda
+  url: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h5226925_1.conda
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-- name: proj
-  version: 9.2.1
+- name: tomli
+  version: 2.0.1
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/proj-9.2.1-h660b3b0_0.conda
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
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-- name: protobuf
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   manager: conda
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+  platform: osx-64
   dependencies:
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+    python: '>=3.7'
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-- name: pyasn1-modules
-  version: 0.2.7
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+  version: 2.0.1
   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
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+    python: '>=3.7'
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-- name: pyct-core
-  version: 0.4.6
+- name: tomli
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   manager: conda
   platform: win-64
   dependencies:
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-    param: '>=1.7.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pyct-core-0.4.6-py_0.tar.bz2
+    python: '>=3.7'
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-- name: pysocks
-  version: 1.7.1
+- name: toolz
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    __win: ''
-    win_inet_pton: ''
-    python: '>=3.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyh0701188_6.tar.bz2
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/toolz-0.12.1-pyhd8ed1ab_0.conda
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-- name: python-dateutil
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   manager: conda
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+  platform: osx-64
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-    six: '>=1.5'
-  url: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.7'
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-- name: pyu2f
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   manager: conda
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+  platform: osx-arm64
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-- name: pyviz_comms
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-- name: rfc3339-validator
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   manager: conda
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+  platform: linux-64
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-- name: rsa
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-- name: send2trash
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+  platform: osx-arm64
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-- name: tbb
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+  platform: linux-64
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-- name: tinycss2
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-- name: xorg-libsm
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   manager: conda
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-- name: yarl
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-- name: aiosqlite
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-- name: argon2-cffi-bindings
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-- name: async-timeout
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+  platform: linux-64
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-- name: aws-c-auth
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-- name: aws-c-mqtt
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   manager: conda
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-- name: brotlipy
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-- name: cairo
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-- name: click-plugins
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-- name: libspatialite
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-- name: mdit-py-plugins
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-- name: mkl
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-- name: platformdirs
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   dependencies:
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-- name: pybtex
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-- name: pyproj
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   manager: conda
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-- name: sqlalchemy
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-- name: stack_data
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-- name: tiledb
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   manager: conda
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+  platform: linux-64
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-- name: wcwidth
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+  platform: osx-64
   dependencies:
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-- name: xorg-libx11
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-- name: aiohttp
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   manager: conda
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   dependencies:
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     vc: '>=14.2,<15'
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-  url: https://conda.anaconda.org/conda-forge/win-64/aiohttp-3.8.4-py311ha68e1ae_1.conda
+  url: https://conda.anaconda.org/conda-forge/win-64/ukkonen-1.0.1-py311h005e61a_4.conda
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-- name: argon2-cffi
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-21.3.0-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/uri-template-1.3.0-pyhd8ed1ab_0.conda
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-- name: aws-c-s3
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   manager: conda
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+  platform: osx-64
   dependencies:
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+    python: '>=3.7'
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-- name: dask-core
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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+    python: '>=3.7'
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-- name: google-resumable-media
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   manager: conda
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/google-resumable-media-2.5.0-pyhd8ed1ab_0.conda
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-- name: harfbuzz
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   manager: conda
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+  platform: linux-64
   dependencies:
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+    libstdcxx-ng: '>=12'
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-- name: identify
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/identify-2.5.24-pyhd8ed1ab_0.conda
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-- name: jupyter_core
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+  platform: osx-arm64
   dependencies:
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+    libcxx: '>=14.0.6'
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-- name: jupyter_events
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   manager: conda
   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_events-0.6.3-pyhd8ed1ab_0.conda
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-- name: jupyter_ydoc
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   manager: conda
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   dependencies:
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-- name: libblas
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+  platform: osx-arm64
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+    python: '>=3.7'
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-- name: oauthlib
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   manager: conda
   platform: win-64
   dependencies:
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-    python: '>=3.6'
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-- name: poppler
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-  url: https://conda.anaconda.org/conda-forge/win-64/poppler-23.05.0-h45d20d0_1.conda
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-- name: prompt-toolkit
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/prompt-toolkit-3.0.38-pyha770c72_0.conda
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-- name: pybtex-docutils
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   manager: conda
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+  platform: osx-64
   dependencies:
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-    pybtex: '>=0.16'
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-    python_abi: 3.11.*
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-- name: pyopenssl
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   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
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-    cryptography: '>=38.0.0,<42,!=40.0.0,!=40.0.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/pyopenssl-23.2.0-pyhd8ed1ab_1.conda
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   platform: win-64
   dependencies:
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-- name: xorg-libxext
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   manager: conda
   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/xorg-libxext-1.3.4-hcd874cb_2.conda
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-- name: xorg-libxt
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-    m2w64-gcc-libs-core: ''
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-    xorg-libice: 1.0.*
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-  url: https://conda.anaconda.org/conda-forge/win-64/xorg-libxt-1.3.0-hcd874cb_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
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-- name: ypy-websocket
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/ypy-websocket-0.8.2-pyhd8ed1ab_0.conda
+    python: '>=3.8'
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-- name: aws-crt-cpp
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   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/aws-crt-cpp-0.20.2-h0db1998_9.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
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   optional: false
-- name: jupyter_client
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   manager: conda
   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.3.0-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/wcwidth-0.2.13-pyhd8ed1ab_0.conda
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-- name: libcblas
-  version: 3.9.0
+- name: webcolors
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/libcblas-3.9.0-17_win64_mkl.conda
+    python: '>=3.5'
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-- name: libgdal
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/libgdal-3.7.0-h32ef8ef_2.conda
+    python: '>=3.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
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   optional: false
-- name: liblapack
-  version: 3.9.0
+- name: webcolors
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   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/liblapack-3.9.0-17_win64_mkl.conda
+    python: '>=3.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
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   optional: false
-- name: nbformat
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+- name: webcolors
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   manager: conda
   platform: win-64
   dependencies:
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-    python-fastjsonschema: ''
-    python: '>=3.8'
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-    jsonschema: '>=2.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/nbformat-5.9.0-pyhd8ed1ab_0.conda
+    python: '>=3.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/webcolors-1.13-pyhd8ed1ab_0.conda
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-- name: pango
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-- name: pre-commit
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   manager: conda
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   dependencies:
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-- name: prompt_toolkit
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   manager: conda
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-- name: urllib3
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-- name: xorg-libxpm
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   manager: conda
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+  platform: linux-64
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+    python: '>=3.6'
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-- name: distributed
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+    python: '>=3.6'
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-- name: ipython
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-- name: libgd
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   manager: conda
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-- name: nbclient
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   manager: conda
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+    python: '>=3.8'
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-- name: numpy
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+    python: '>=3.8'
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-- name: requests
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-- name: datashape
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-- name: google-auth
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-- name: graphviz
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-- name: gsw
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+  platform: linux-64
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-    python_abi: 3.11.*
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-  url: https://conda.anaconda.org/conda-forge/win-64/gsw-3.6.17-py311h59ca53f_0.conda
+    numpy: '>=1.23'
+    packaging: '>=22'
+    pandas: '>=1.5'
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.1.1-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: ipykernel
-  version: 6.23.3
+- name: xarray
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   manager: conda
-  platform: win-64
+  platform: osx-64
   dependencies:
-    packaging: ''
-    psutil: ''
-    nest-asyncio: ''
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-    python: '>=3.8'
-    tornado: '>=6.1'
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-    traitlets: '>=5.4.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.23.3-pyh6817e22_0.conda
+    python: '>=3.9'
+    numpy: '>=1.23'
+    packaging: '>=22'
+    pandas: '>=1.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.1.1-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: jupyter-cache
-  version: 0.6.1
+- name: xarray
+  version: 2024.1.1
   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
-    pyyaml: ''
-    click: ''
-    importlib-metadata: ''
-    tabulate: ''
-    nbformat: ''
-    attrs: ''
-    python: '>=3.8'
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter-cache-0.6.1-pyhd8ed1ab_0.conda
+    python: '>=3.9'
+    numpy: '>=1.23'
+    packaging: '>=22'
+    pandas: '>=1.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.1.1-pyhd8ed1ab_0.conda
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   category: main
   optional: false
-- name: libarrow
-  version: 12.0.0
+- name: xarray
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   manager: conda
   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/libarrow-12.0.0-h71d8ae8_9_cpu.conda
+    python: '>=3.9'
+    numpy: '>=1.23'
+    packaging: '>=22'
+    pandas: '>=1.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.1.1-pyhd8ed1ab_0.conda
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-- name: nbconvert-core
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-    beautifulsoup4: ''
-    defusedxml: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.6.0-pyhd8ed1ab_0.conda
+- name: xerces-c
+  version: 3.2.5
+  manager: conda
+  platform: linux-64
+  dependencies:
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+    libcurl: '>=8.5.0,<9.0a0'
+    libgcc-ng: '>=12'
+    libnsl: '>=2.0.1,<2.1.0a0'
+    libstdcxx-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xerces-c-3.2.5-hac6953d_0.conda
   hash:
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   category: main
   optional: false
-- name: numba
-  version: 0.57.1
+- name: xerces-c
+  version: 3.2.5
   manager: conda
-  platform: win-64
+  platform: osx-64
   dependencies:
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-    python: '>=3.11,<3.12.0a0'
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-    vc: '>=14.2,<15'
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-  url: https://conda.anaconda.org/conda-forge/win-64/numba-0.57.1-py311h2c0921f_0.conda
+    icu: '>=73.2,<74.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=15'
+  url: https://conda.anaconda.org/conda-forge/osx-64/xerces-c-3.2.5-hbbe9ea5_0.conda
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   category: main
   optional: false
-- name: numcodecs
-  version: 0.11.0
+- name: xerces-c
+  version: 3.2.5
   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
-    entrypoints: ''
-    msgpack-python: ''
-    numpy: '>=1.7'
-    python: '>=3.11,<3.12.0a0'
-    python_abi: 3.11.*
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-  url: https://conda.anaconda.org/conda-forge/win-64/numcodecs-0.11.0-py311h12c1d0e_1.conda
+    icu: '>=73.2,<74.0a0'
+    libcurl: '>=8.5.0,<9.0a0'
+    libcxx: '>=15'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/xerces-c-3.2.5-hf393695_0.conda
   hash:
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   category: main
   optional: false
-- name: pandas
-  version: 2.0.2
+- name: xerces-c
+  version: 3.2.5
   manager: conda
   platform: win-64
   dependencies:
-    numpy: '>=1.23.5,<2.0a0'
-    python: '>=3.11,<3.12.0a0'
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     vc: '>=14.2,<15'
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-  url: https://conda.anaconda.org/conda-forge/win-64/pandas-2.0.2-py311hf63dbb6_0.conda
+  url: https://conda.anaconda.org/conda-forge/win-64/xerces-c-3.2.5-h63175ca_0.conda
   hash:
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   category: main
   optional: false
-- name: pooch
-  version: 1.7.0
+- name: xorg-kbproto
+  version: 1.0.7
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    python: '>=3.7'
-    packaging: '>=20.0'
-    requests: '>=2.19.0'
-    platformdirs: '>=2.5.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pooch-1.7.0-pyha770c72_3.conda
+    libgcc-ng: '>=9.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-kbproto-1.0.7-h7f98852_1002.tar.bz2
   hash:
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   category: main
   optional: false
-- name: pyct
-  version: 0.4.6
+- name: xorg-kbproto
+  version: 1.0.7
   manager: conda
   platform: win-64
   dependencies:
-    python: ''
-    requests: ''
-    pyyaml: ''
-    pyct-core: 0.4.6.*
-  url: https://conda.anaconda.org/conda-forge/noarch/pyct-0.4.6-py_0.tar.bz2
+    m2w64-gcc-libs: ''
+  url: https://conda.anaconda.org/conda-forge/win-64/xorg-kbproto-1.0.7-hcd874cb_1002.tar.bz2
   hash:
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   optional: false
-- name: pydap
-  version: 3.4.0
+- name: xorg-libice
+  version: 1.1.1
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    numpy: ''
-    requests: ''
-    jinja2: ''
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-    docopt: ''
-    webob: ''
-    python: '>=3.7'
-    six: '>=1.4.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/pydap-3.4.0-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.1-hd590300_0.conda
   hash:
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   optional: false
-- name: requests-oauthlib
-  version: 1.3.1
+- name: xorg-libice
+  version: 1.1.1
   manager: conda
   platform: win-64
   dependencies:
-    python: '>=3.4'
-    requests: '>=2.0.0'
-    oauthlib: '>=3.0.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/requests-oauthlib-1.3.1-pyhd8ed1ab_0.tar.bz2
+    m2w64-gcc-libs: ''
+    m2w64-gcc-libs-core: ''
+    xorg-libx11: '>=1.8.4,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/win-64/xorg-libice-1.1.1-hcd874cb_0.conda
   hash:
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   category: main
   optional: false
-- name: shapely
-  version: 2.0.1
+- name: xorg-libsm
+  version: 1.2.4
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-    python: '>=3.11,<3.12.0a0'
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-  url: https://conda.anaconda.org/conda-forge/win-64/shapely-2.0.1-py311h343093d_1.conda
+    libgcc-ng: '>=12'
+    libuuid: '>=2.38.1,<3.0a0'
+    xorg-libice: '>=1.1.1,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libsm-1.2.4-h7391055_0.conda
   hash:
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   category: main
   optional: false
-- name: snuggs
-  version: 1.4.7
+- name: xorg-libsm
+  version: 1.2.4
   manager: conda
   platform: win-64
   dependencies:
-    python: ''
-    numpy: ''
-    pyparsing: '>=2.1.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/snuggs-1.4.7-py_0.tar.bz2
+    m2w64-gcc-libs: ''
+    m2w64-gcc-libs-core: ''
+    xorg-libice: '>=1.1.1,<2.0a0'
+  url: https://conda.anaconda.org/conda-forge/win-64/xorg-libsm-1.2.4-hcd874cb_0.conda
   hash:
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   category: main
   optional: false
-- name: sphinx
-  version: 4.5.0
+- name: xorg-libx11
+  version: 1.8.7
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
-    packaging: ''
-    sphinxcontrib-jsmath: ''
-    imagesize: ''
-    sphinxcontrib-applehelp: ''
-    sphinxcontrib-devhelp: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-4.5.0-pyh6c4a22f_0.tar.bz2
+    libgcc-ng: '>=12'
+    libxcb: '>=1.15,<1.16.0a0'
+    xorg-kbproto: ''
+    xorg-xextproto: '>=7.3.0,<8.0a0'
+    xorg-xproto: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.7-h8ee46fc_0.conda
   hash:
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   category: main
   optional: false
-- name: bokeh
-  version: 3.1.1
+- name: xorg-libx11
+  version: 1.8.7
   manager: conda
   platform: win-64
   dependencies:
-    python: '>=3.8'
-    numpy: '>=1.16'
-    pyyaml: '>=3.10'
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-    xyzservices: '>=2021.09.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/bokeh-3.1.1-pyhd8ed1ab_0.conda
+    libxcb: '>=1.15,<1.16.0a0'
+    m2w64-gcc-libs: ''
+    m2w64-gcc-libs-core: ''
+    xorg-kbproto: ''
+    xorg-xextproto: '>=7.3.0,<8.0a0'
+    xorg-xproto: ''
+  url: https://conda.anaconda.org/conda-forge/win-64/xorg-libx11-1.8.7-hefa74cf_0.conda
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   optional: false
-- name: colorcet
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+- name: xorg-libxau
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-    pyct: '>=0.4.4'
-  url: https://conda.anaconda.org/conda-forge/noarch/colorcet-3.0.1-pyhd8ed1ab_0.tar.bz2
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.11-hd590300_0.conda
   hash:
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   category: main
   optional: false
-- name: google-api-core
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+- name: xorg-libxau
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   manager: conda
-  platform: win-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.11.1-pyhd8ed1ab_0.conda
+  platform: osx-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-64/xorg-libxau-1.0.11-h0dc2134_0.conda
   hash:
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   category: main
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-- name: google-auth-oauthlib
-  version: 1.0.0
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+  version: 1.0.11
+  manager: conda
+  platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/xorg-libxau-1.0.11-hb547adb_0.conda
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   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-1.0.0-pyhd8ed1ab_0.conda
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+    m2w64-gcc-libs-core: ''
+  url: https://conda.anaconda.org/conda-forge/win-64/xorg-libxau-1.0.11-hcd874cb_0.conda
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-- name: jupyter_server
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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+    libgcc-ng: '>=9.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.3-h7f98852_0.tar.bz2
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+  url: https://conda.anaconda.org/conda-forge/osx-64/xorg-libxdmcp-1.1.3-h35c211d_0.tar.bz2
   hash:
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   optional: false
-- name: matplotlib-base
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   manager: conda
-  platform: win-64
-  dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.7.1-py311h6e989c2_0.conda
+  platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/xorg-libxdmcp-1.1.3-h27ca646_0.tar.bz2
   hash:
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   optional: false
-- name: myst-parser
-  version: 0.18.1
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+  version: 1.1.3
   manager: conda
   platform: win-64
   dependencies:
-    pyyaml: ''
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-    jinja2: ''
-    python: '>=3.7'
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-  url: https://conda.anaconda.org/conda-forge/noarch/myst-parser-0.18.1-pyhd8ed1ab_0.tar.bz2
+    m2w64-gcc-libs: ''
+  url: https://conda.anaconda.org/conda-forge/win-64/xorg-libxdmcp-1.1.3-hcd874cb_0.tar.bz2
   hash:
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-- name: nbconvert-pandoc
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-    python: '>=3.7'
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-  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-7.6.0-pyhd8ed1ab_0.conda
+    libgcc-ng: '>=12'
+    xorg-libx11: '>=1.7.2,<2.0a0'
+    xorg-xextproto: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.4-h0b41bf4_2.conda
   hash:
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   optional: false
-- name: netcdf4
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   manager: conda
   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/netcdf4-1.6.4-nompi_py311h896b27b_100.conda
+    m2w64-gcc-libs: ''
+    xorg-libx11: '>=1.7.2,<2.0a0'
+    xorg-xextproto: ''
+  url: https://conda.anaconda.org/conda-forge/win-64/xorg-libxext-1.3.4-hcd874cb_2.conda
   hash:
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   category: main
   optional: false
-- name: pyarrow
-  version: 12.0.0
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   manager: conda
   platform: win-64
   dependencies:
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-    numpy: '>=1.23.5,<2.0a0'
-    python: '>=3.11,<3.12.0a0'
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-  url: https://conda.anaconda.org/conda-forge/win-64/pyarrow-12.0.0-py311h6a6099b_9_cpu.conda
+    m2w64-gcc-libs: ''
+    m2w64-gcc-libs-core: ''
+    xorg-libx11: '>=1.8.6,<2.0a0'
+    xorg-libxext: '>=1.3.4,<2.0a0'
+    xorg-libxt: '>=1.3.0,<2.0a0'
+    xorg-xextproto: '>=7.3.0,<8.0a0'
+    xorg-xproto: ''
+  url: https://conda.anaconda.org/conda-forge/win-64/xorg-libxpm-3.5.17-hcd874cb_0.conda
   hash:
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   optional: false
-- name: pydata-sphinx-theme
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+  version: 0.9.11
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-    beautifulsoup4: ''
-    babel: ''
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-    pygments: '>=2.7'
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+    xorg-libx11: '>=1.8.6,<2.0a0'
+    xorg-renderproto: ''
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hd590300_0.conda
   hash:
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   optional: false
-- name: python-graphviz
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   manager: conda
   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/python-graphviz-0.20.1-pyh22cad53_0.tar.bz2
+    m2w64-gcc-libs: ''
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+    xorg-kbproto: ''
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+    xorg-libsm: '>=1.2.4,<2.0a0'
+    xorg-libx11: '>=1.8.6,<2.0a0'
+    xorg-xproto: ''
+  url: https://conda.anaconda.org/conda-forge/win-64/xorg-libxt-1.3.0-hcd874cb_1.conda
   hash:
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   optional: false
-- name: rasterio
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   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/rasterio-1.3.7-py311h58bba51_2.conda
+    libgcc-ng: '>=9.3.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-renderproto-0.11.1-h7f98852_1002.tar.bz2
   hash:
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-- name: scipy
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/win-64/scipy-1.11.0-py311h37ff6ca_0.conda
+    libgcc-ng: '>=12'
+  url: https://conda.anaconda.org/conda-forge/linux-64/xorg-xextproto-7.3.0-h0b41bf4_1003.conda
   hash:
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-- name: sphinx-codeautolink
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   manager: conda
   platform: win-64
   dependencies:
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+    m2w64-gcc-libs: ''
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-- name: sphinx-comments
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   manager: conda
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+  platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-comments-0.0.3-pyh9f0ad1d_0.tar.bz2
+    libgcc-ng: '>=9.3.0'
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   hash:
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-- name: sphinx-copybutton
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   manager: conda
   platform: win-64
   dependencies:
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-    sphinx: '>=1.8'
-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-copybutton-0.5.2-pyhd8ed1ab_0.conda
+    m2w64-gcc-libs: ''
+  url: https://conda.anaconda.org/conda-forge/win-64/xorg-xproto-7.0.31-hcd874cb_1007.tar.bz2
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   manager: conda
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   manager: conda
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-- name: jupyter_server_fileid
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   manager: conda
   platform: win-64
   dependencies:
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+    python: '>=3.8'
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+    numpy: '>=1.20,!=1.21.0'
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-- name: jupyterlab_server
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   manager: conda
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+  platform: linux-64
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+    libsodium: '>=1.0.18,<1.0.19.0a0'
+    libstdcxx-ng: '>=12'
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-- name: myst-nb
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   manager: conda
-  platform: win-64
+  platform: osx-64
   dependencies:
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+    libsodium: '>=1.0.18,<1.0.19.0a0'
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-- name: nbconvert
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+  version: 4.3.5
   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/nbconvert-7.6.0-pyhd8ed1ab_0.conda
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-- name: notebook-shim
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   manager: conda
   platform: win-64
   dependencies:
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-- name: panel
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   manager: conda
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+  platform: linux-64
   dependencies:
-    requests: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/panel-1.1.1-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_0.conda
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-- name: pint-xarray
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   manager: conda
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+  platform: osx-64
   dependencies:
     python: '>=3.8'
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-    pint: '>=0.16'
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+  url: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_0.conda
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-- name: rioxarray
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-    packaging: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/rioxarray-0.14.1-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_0.conda
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   category: main
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-- name: sphinx-book-theme
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   manager: conda
   platform: win-64
   dependencies:
-    python: '>=3.7'
-    sphinx: '>=4,<7'
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-book-theme-1.0.1-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/zict-3.0.0-pyhd8ed1ab_0.conda
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   category: main
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-- name: google-cloud-storage
-  version: 2.9.0
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+  version: 3.17.0
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-    requests: '>=2.18.0,<3.0.0dev'
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-  url: https://conda.anaconda.org/conda-forge/noarch/google-cloud-storage-2.9.0-pyh1a96a4e_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
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-- name: holoviews
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   manager: conda
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+  platform: osx-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/holoviews-1.16.2-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
   hash:
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-- name: jupyter-book
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   manager: conda
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+  platform: osx-arm64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter-book-0.15.1-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
   hash:
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   optional: false
-- name: jupyter_server_ydoc
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   manager: conda
   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/jupyter_server_ydoc-0.8.0-pyhd8ed1ab_0.conda
+    python: '>=3.8'
+  url: https://conda.anaconda.org/conda-forge/noarch/zipp-3.17.0-pyhd8ed1ab_0.conda
   hash:
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   category: main
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-- name: jupyterlab
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   manager: conda
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+  platform: linux-64
   dependencies:
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-    ipykernel: ''
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+    libgcc-ng: '>=12'
+    libzlib: 1.2.13
+  url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.2.13-hd590300_5.conda
   hash:
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   optional: false
-- name: nbclassic
-  version: 1.0.0
+- name: zlib
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   manager: conda
-  platform: win-64
+  platform: osx-64
   dependencies:
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-    nbformat: ''
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-  url: https://conda.anaconda.org/conda-forge/noarch/nbclassic-1.0.0-pyhb4ecaf3_1.conda
+    libzlib: 1.2.13
+  url: https://conda.anaconda.org/conda-forge/osx-64/zlib-1.2.13-h8a1eda9_5.conda
   hash:
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   optional: false
-- name: sphinx-exercise
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   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
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-    python: '>=3.6'
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-  url: https://conda.anaconda.org/conda-forge/noarch/sphinx-exercise-0.4.0-pyhd8ed1ab_0.tar.bz2
+    libzlib: 1.2.13
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zlib-1.2.13-h53f4e23_5.conda
   hash:
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   optional: false
-- name: dask-labextension
-  version: 6.1.0
+- name: zlib
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   manager: conda
   platform: win-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/dask-labextension-6.1.0-pyhd8ed1ab_0.conda
+    libzlib: 1.2.13
+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/zlib-1.2.13-hcfcfb64_5.conda
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   optional: false
-- name: gcsfs
-  version: 2023.6.0
+- name: zstd
+  version: 1.5.5
   manager: conda
-  platform: win-64
+  platform: linux-64
   dependencies:
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-    aiohttp: ''
-    google-auth-oauthlib: ''
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-    google-auth: '>=1.2'
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-  url: https://conda.anaconda.org/conda-forge/noarch/gcsfs-2023.6.0-pyhd8ed1ab_0.conda
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+    libstdcxx-ng: '>=12'
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.5-hfc55251_0.conda
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   category: main
   optional: false
-- name: geoviews-core
-  version: 1.10.0
+- name: zstd
+  version: 1.5.5
   manager: conda
-  platform: win-64
+  platform: osx-64
   dependencies:
-    packaging: ''
-    pyproj: ''
-    python: '>=3.8'
-    numpy: '>=1.0'
-    cartopy: '>=0.18.0'
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-    panel: '>=1.0.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/geoviews-core-1.10.0-pyha770c72_0.conda
+    libzlib: '>=1.2.13,<1.3.0a0'
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   category: main
   optional: false
-- name: hvplot
-  version: 0.8.4
+- name: zstd
+  version: 1.5.5
   manager: conda
-  platform: win-64
+  platform: osx-arm64
   dependencies:
-    pandas: ''
-    packaging: ''
-    python: '>=3.6'
-    numpy: '>=1.15'
-    bokeh: '>=1.0.0'
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-    panel: '>=0.11.0'
-  url: https://conda.anaconda.org/conda-forge/noarch/hvplot-0.8.4-pyhd8ed1ab_1.conda
+    libzlib: '>=1.2.13,<1.3.0a0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.5-h4f39d0f_0.conda
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   category: main
   optional: false
-- name: notebook
-  version: 6.5.4
+- name: zstd
+  version: 1.5.5
   manager: conda
   platform: win-64
   dependencies:
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-    nbformat: ''
-    prometheus_client: ''
-    ipykernel: ''
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-    sha256: f1fb8078ac594ff6dbca271e1432b4312cc10c16c6fbddfe77d4102c778235cf
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+    ucrt: '>=10.0.20348.0'
+    vc: '>=14.2,<15'
+    vc14_runtime: '>=14.29.30139'
+  url: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.5-h12be248_0.conda
+  hash:
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+    sha256: d540dd56c5ec772b60e4ce7d45f67f01c6614942225885911964ea1e70bb99e3
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HcmV?d00001

diff --git a/_images/472e711340e5e672e04ce783728e850748166a619a2e2086f0adf438a66cc12d.png b/_images/0958b9c62bc5a656fb5f6208487c8801fe00e322a866664ab74bee50215501a4.png
similarity index 99%
rename from _images/472e711340e5e672e04ce783728e850748166a619a2e2086f0adf438a66cc12d.png
rename to _images/0958b9c62bc5a656fb5f6208487c8801fe00e322a866664ab74bee50215501a4.png
index 7afa8b25301d2c6e7b5f4d04a51deb63c5ba2200..22d7ad2ff2634effb595e87bb7a049e8b6314aaf 100644
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delta 51
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diff --git a/_images/0a2dd251fce288c3ed2c62a902d22b7b25777b6b6c3ff3292427eb45d666f4cb.png b/_images/0a2dd251fce288c3ed2c62a902d22b7b25777b6b6c3ff3292427eb45d666f4cb.png
new file mode 100644
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diff --git a/_images/f90ce26d7973eb6ca21f62d80514e891742ce03a7e583d4a59bcc98a8b4148c1.png b/_images/1cf104813e97db64222189723c5b9c52b46a4a6e2a0dfa642e276c40af22ea90.png
similarity index 99%
rename from _images/f90ce26d7973eb6ca21f62d80514e891742ce03a7e583d4a59bcc98a8b4148c1.png
rename to _images/1cf104813e97db64222189723c5b9c52b46a4a6e2a0dfa642e276c40af22ea90.png
index 49f69a4ccfbf591c863ea30dd92a07ba93459a8b..3be16715fcb7153f8180dfc646a4fac0c8ebd3e9 100644
GIT binary patch
delta 45
zcmezSi23g$<_T^J7J9}y3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma$Dc(6Z%h;a2mq<`
B62AZd

delta 45
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rename from _images/ad070858b5c08d23a3fd5f0ab60e21a5770a3402283c31333152468a17b142df.png
rename to _images/1e62a726e9e9438125fd2ca88f31abd3c58e90c15c59964b8ca0e0f213d79273.png
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new file mode 100644
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similarity index 99%
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rename to _images/2621ccf0d19b26cc3f0fa8f4cd80289f52a6161aae819e11923e6cea5bacbc85.png
index 6fa7561fc670ef9dc11926f121eaaca431ce70da..5b177f3595f03ab315146df0f26e38c5218dfa4b 100644
GIT binary patch
delta 48
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delta 48
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deleted file mode 100644
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GIT binary patch
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diff --git a/_images/932928ea2c2fa7b0b93a093013cd280d0d9c5ef3e7bf1837a22779859e7df474.png b/_images/4358238911d3133a1cf4c587785864e0c15b15a1ac23aab32e660ea8eaca6410.png
similarity index 99%
rename from _images/932928ea2c2fa7b0b93a093013cd280d0d9c5ef3e7bf1837a22779859e7df474.png
rename to _images/4358238911d3133a1cf4c587785864e0c15b15a1ac23aab32e660ea8eaca6410.png
index 54b8ecb5a655219662ed52fff30e986233eff7f5..3008d0498f3a116ae41169dad382b7025b432bb8 100644
GIT binary patch
delta 48
zcmeyqkmdVAmI-bO7J9}y3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma$Dc(6H>Pb(W1J`e
E0Ll*%xBvhE

delta 48
zcmeyqkmdVAmI-bO=6Z%Y3K=CO1;tkS`nicE1v&X8Ihjd%`9<max4Agl8`HL?F-{Z!
E0Kl>l(EtDd

diff --git a/_images/43bf61f89e12c9221bc902adf3403d321b881a016b16a2d8b91e5a97305136e4.png b/_images/43bf61f89e12c9221bc902adf3403d321b881a016b16a2d8b91e5a97305136e4.png
new file mode 100644
index 0000000000000000000000000000000000000000..bcf9dc2ac7d76634d98886b5e5a5b51011880014
GIT binary patch
literal 40689
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similarity index 99%
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rename to _images/52aee6f13c831276ea4623b208480dd928089ffc61b4d8f5c1604b38f398b54a.png
index 7086fef735081c1f0f0b8dc20e220232dafeb97d..c5dd9c16c1f08040f1d9a6d72bd2d45f11c39d28 100644
GIT binary patch
delta 48
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delta 48
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similarity index 98%
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rename to _images/53c4762204ef7f46c0d172e5dce906659961a8503e23a485dc0cf2cacc1dcaeb.png
index f0d0f56deb106dc89e784f7e73ce58f1856d677e..2e40e668c2df59470ed195ad0cdf697966cdeb5f 100644
GIT binary patch
delta 48
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delta 48
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index ff3578454559f0bb22e6af21ba99fd0b59db3a65..fc88ed9389d6b631cea597981cf6d9bbff71e852 100644
GIT binary patch
delta 48
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delta 48
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index ddbe194cf8419d782b86d6edfd21139320975f61..0e0443f243da0b9037b62871bd314bc9d9cb5dd6 100644
GIT binary patch
delta 51
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delta 51
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GIT binary patch
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diff --git a/_images/ea5e2260736a5d25d704a9d0d7c3c896c7e19a25b455cf35f448d9c191b63fc4.png b/_images/67ef7a4faa891fce7a3e769e63e4c4c9b8a74076aa9448a8a6e665be0878a91a.png
similarity index 99%
rename from _images/ea5e2260736a5d25d704a9d0d7c3c896c7e19a25b455cf35f448d9c191b63fc4.png
rename to _images/67ef7a4faa891fce7a3e769e63e4c4c9b8a74076aa9448a8a6e665be0878a91a.png
index 5082bbc572568abe3c97224f00fe83b31c711658..23db64683529225c1b0840592db69e5d5459e2d0 100644
GIT binary patch
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diff --git a/_images/c7a150cea4895efe09586db0771a09228dfa1b3c199c61bfa78156739cfcec75.png b/_images/6aa88550f7b7fe93a508059baee9ec32731ef8de2cd6fd18483ebae74f21b543.png
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rename from _images/c7a150cea4895efe09586db0771a09228dfa1b3c199c61bfa78156739cfcec75.png
rename to _images/6aa88550f7b7fe93a508059baee9ec32731ef8de2cd6fd18483ebae74f21b543.png
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literal 0
HcmV?d00001

diff --git a/_images/eb340700645db670320b4ec0e8f5e505d45996e2a3a71e17a3531f44a7f8dd12.png b/_images/84aa772cf2789dbcf3a926a364101f90c021b49a76710c1c4b8b2f5988d106e5.png
similarity index 99%
rename from _images/eb340700645db670320b4ec0e8f5e505d45996e2a3a71e17a3531f44a7f8dd12.png
rename to _images/84aa772cf2789dbcf3a926a364101f90c021b49a76710c1c4b8b2f5988d106e5.png
index a8b87a7c38ace5b4f64ce1016b19213d66df2533..dde0d6cc694596e8e660291603bc0155810637e1 100644
GIT binary patch
delta 45
zcmezJn(@nP#tCi;7J9}y3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma$Dc(6Z%pee1puk7
B61D&U

delta 45
zcmezJn(@nP#tCi;=6Z%Y3K=CO1;tkS`nicE1v&X8Ihjd%`9<max4AglH>UNK0sx~0
B5zhbs

diff --git a/_images/71beeae9cc5a462844a901fd8a09a79a60c308d6e237cbd6a553a180ef22600d.png b/_images/874e085e709100b7209cdc6f79d644dc0cde3eb1af1027891f302eee4173682a.png
similarity index 99%
rename from _images/71beeae9cc5a462844a901fd8a09a79a60c308d6e237cbd6a553a180ef22600d.png
rename to _images/874e085e709100b7209cdc6f79d644dc0cde3eb1af1027891f302eee4173682a.png
index 36c1aba085abda1152d506df4753b83d659ce3be..e789fdd251100cfe2a0f806d6cf69a074f91f924 100644
GIT binary patch
delta 45
zcmX@{fceA&<_T^J7J9}y3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma$Dc(6Z%lji9sroy
B6B+;j

delta 45
zcmX@{fceA&<_T^J=6Z%Y3K=CO1;tkS`nicE1v&X8Ihjd%`9<max4AglH>N#$4*-%f
B5;Fh*

diff --git a/_images/48099256045c762a7f5be662fbc5049533a6ebdc670f56fcf34bfb96aebc867a.png b/_images/8bc1e84381af7b591838c97cead308c2ce4512887b9d60e016638e3cbca77a7c.png
similarity index 99%
rename from _images/48099256045c762a7f5be662fbc5049533a6ebdc670f56fcf34bfb96aebc867a.png
rename to _images/8bc1e84381af7b591838c97cead308c2ce4512887b9d60e016638e3cbca77a7c.png
index 8bfa0c03fa9fb32e52743fbe055042d4b7f5d7f5..1a3a94cd5fe4ef99e7ab1e2a632bd949a79a1de3 100644
GIT binary patch
delta 48
zcmaEJgZ0e~)(LJ37J9}y3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma$Dc(6H>Pb(V`R$#
E0NFee;{X5v

delta 48
zcmaEJgZ0e~)(LJ3=6Z%Y3K=CO1;tkS`nicE1v&X8Ihjd%`9<max4Agl8`HL?F|y?V
E0MFkM`~Uy|

diff --git a/_images/6ef7bdd6a24fe65489deb5042bc54bf658f53be78a61bc16fe336ca47503dc1f.png b/_images/8f471c7dab50884209cdb220a5ddff2b87d908a1436a83f26c573357dfb0f8c7.png
similarity index 96%
rename from _images/6ef7bdd6a24fe65489deb5042bc54bf658f53be78a61bc16fe336ca47503dc1f.png
rename to _images/8f471c7dab50884209cdb220a5ddff2b87d908a1436a83f26c573357dfb0f8c7.png
index 3e006eeeda3b86ddfa84108f98a2ba1a641343bf..3e843a980a4e63c0b085c4100cd552de5967c937 100644
GIT binary patch
delta 51
zcmaEVfaCoEjtOoG7J9}y3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma$Dc(6H>S0wF>Xy`
H;#2?t4J{L6

delta 51
zcmaEVfaCoEjtOoG=6Z%Y3K=CO1;tkS`nicE1v&X8Ihjd%`9<max4Agl8`E0T7`LV|
HaVh`+0UHv0

diff --git a/_images/aa43f46013753f1326438d7dbe0ca84df8b3cbfb841715ec7a2e9eefc197a674.png b/_images/90958817a58ed370cc7ee8ae93368d3c6b31602f3031aa6e89c4aeb12c5e6983.png
similarity index 99%
rename from _images/aa43f46013753f1326438d7dbe0ca84df8b3cbfb841715ec7a2e9eefc197a674.png
rename to _images/90958817a58ed370cc7ee8ae93368d3c6b31602f3031aa6e89c4aeb12c5e6983.png
index 7c950b116c4f05e10dbc61497348d8f9214115dd..5cef0b589e24e586ee3118b777c7e4802383592a 100644
GIT binary patch
delta 48
zcmaF%pXJ$qmI-bO7J9}y3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma$Dc(6H>Pb(V{EVo
E0OeT|Z~y=R

delta 48
zcmaF%pXJ$qmI-bO=6Z%Y3K=CO1;tkS`nicE1v&X8Ihjd%`9<max4Agl8`HL?F*eu(
E0NeZ$i2wiq

diff --git a/_images/585ccbfdcb8735bbfa449434bedc061a0017490a77133a17dae0bd91d17f1834.png b/_images/9c909f839c75f6cb6b3a1ba9256a1ce20d61af5b6c4662f13feac326ea58a301.png
similarity index 99%
rename from _images/585ccbfdcb8735bbfa449434bedc061a0017490a77133a17dae0bd91d17f1834.png
rename to _images/9c909f839c75f6cb6b3a1ba9256a1ce20d61af5b6c4662f13feac326ea58a301.png
index aaa98086be809a3d79fba018c75d3ff4d2c01d98..d73b116dc7565ac95c9a2daf97d99f6c004a4ea0 100644
GIT binary patch
delta 45
zcmbPmoN)pWxhYua8S5xyl#~<{Tj}fPCYBWB<d@`RCh6rDrRyJm77@HLO)D7ydgBo=

delta 45
zcmbPmoN)pWxha_I8R{rxl#~<{Tj}fPCYBWB<d@`RCh6rDrR(43;%MKPrj-l;bUP49

diff --git a/_images/9eb6977994da05ad6ad79aed1c474ee19f2112f1c725b82493b17faf2c9d8192.png b/_images/9eb6977994da05ad6ad79aed1c474ee19f2112f1c725b82493b17faf2c9d8192.png
deleted file mode 100644
index eab9ed963bfe6e1072e4405500914be450411afa..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

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literal 0
HcmV?d00001

diff --git a/_images/f8bdecf73878fa02d20e371420153f90c0fd6f733646c506cba15532be82ff92.png b/_images/a83e560b24297b316b6488d062d99fce70176f505533166503aa00a7832a4059.png
similarity index 99%
rename from _images/f8bdecf73878fa02d20e371420153f90c0fd6f733646c506cba15532be82ff92.png
rename to _images/a83e560b24297b316b6488d062d99fce70176f505533166503aa00a7832a4059.png
index ad1162d5cebb35a5751c2bece47760d2fe427ebb..6dea325b50c5646d3897561e1b821d3748ad9326 100644
GIT binary patch
delta 51
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delta 51
zcmex<iu3y^&IxV`=6Z%Y3K=CO1;tkS`nicE1v&X8Ihjd%`9<max4Agl8`E0T7`LV|
H38n%72(c3H

diff --git a/_images/e8ee132930402631e57d46791de6349ee88b544e89b382c599e093b769dec97e.png b/_images/aa91ea0e600cb3267f2048a74ab939203ee96215ea3157e48de3c1ed5cab8e45.png
similarity index 99%
rename from _images/e8ee132930402631e57d46791de6349ee88b544e89b382c599e093b769dec97e.png
rename to _images/aa91ea0e600cb3267f2048a74ab939203ee96215ea3157e48de3c1ed5cab8e45.png
index 6a7721fb76ee8bceb5497e7a053cf4b0cacbfd21..b1a31e4014f07c199e4eae88b72b2e408e30e115 100644
GIT binary patch
delta 45
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B5(xkR

delta 45
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diff --git a/_images/ab74a7add11877a65230c1e40bff14c4ee535a7524f8dd96684aa0eeb80c019c.png b/_images/ab74a7add11877a65230c1e40bff14c4ee535a7524f8dd96684aa0eeb80c019c.png
new file mode 100644
index 0000000000000000000000000000000000000000..0a858bb69fa2be19c17e9b5c9f843ef0d48a948e
GIT binary patch
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deleted file mode 100644
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GIT binary patch
literal 0
HcmV?d00001

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diff --git a/_images/377de1f14e6b5ca157dabe6019ebf3362d105e4d0db1bbd9381c09022f5d9175.png b/_images/c22c0f5add5c72fa3a20abcdc4a1a982239f43636cd60ea3adf05688abd94514.png
similarity index 97%
rename from _images/377de1f14e6b5ca157dabe6019ebf3362d105e4d0db1bbd9381c09022f5d9175.png
rename to _images/c22c0f5add5c72fa3a20abcdc4a1a982239f43636cd60ea3adf05688abd94514.png
index dca0b4fa57b1c5fef82eb8de492302558d79b0fd..ee48256426a271573cf6a83ec4ebbc3c57c19358 100644
GIT binary patch
delta 48
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E0NqOyG5`Po

delta 48
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diff --git a/_images/75b1fdbd4f7b447525781a761b299c322101575ae2caa135a1295f59848c404d.png b/_images/c277862776f7a6426da44c89aba6e4032ab341478bbaf9f9c08e65b5e8ff7d43.png
similarity index 99%
rename from _images/75b1fdbd4f7b447525781a761b299c322101575ae2caa135a1295f59848c404d.png
rename to _images/c277862776f7a6426da44c89aba6e4032ab341478bbaf9f9c08e65b5e8ff7d43.png
index 907d16875096a16f4a7a33b2d603d7786a11570c..5b2e7ccfebfa3d9832289d0b3c2e1fe109e9687c 100644
GIT binary patch
delta 48
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delta 48
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diff --git a/_images/944e2f806416605060bf594207a974cf00aa98bd65321412260091887069d4f4.png b/_images/c80677a7babfcb634e997325f1feec6f43f8862157ace8775f3ce78f5b07f4a2.png
similarity index 98%
rename from _images/944e2f806416605060bf594207a974cf00aa98bd65321412260091887069d4f4.png
rename to _images/c80677a7babfcb634e997325f1feec6f43f8862157ace8775f3ce78f5b07f4a2.png
index ee756d3636d9fb83a9acc6fb9cc6dfc0f5a0ef5a..d40028633e18dc84d96dbaf201309eeea56c8fa4 100644
GIT binary patch
delta 45
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delta 45
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diff --git a/_images/b75e1d1438ac7d8a27c5010237d3cd62057e21cf216ce68a6898c0aa26832e52.png b/_images/cb37ccf6e5c2b0d2549145b94502e3a43c355cd7a06e086da98bad1da72a04ae.png
similarity index 99%
rename from _images/b75e1d1438ac7d8a27c5010237d3cd62057e21cf216ce68a6898c0aa26832e52.png
rename to _images/cb37ccf6e5c2b0d2549145b94502e3a43c355cd7a06e086da98bad1da72a04ae.png
index 6c0ddbd164b21211e5ef6c33f5897ab311a93e3a..ebdce013fc61eb47593c3ddecd6227f0c6fb2d44 100644
GIT binary patch
delta 45
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delta 45
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diff --git a/_images/d3ae1f08871803fecf01e5ce231108c3fbbfa3a3c6f4acf695cc5981e137012a.png b/_images/d3ae1f08871803fecf01e5ce231108c3fbbfa3a3c6f4acf695cc5981e137012a.png
new file mode 100644
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delta 45
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similarity index 99%
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delta 45
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GIT binary patch
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literal 0
HcmV?d00001

diff --git a/_images/202158675afb7ed881b0de66c5f37f2559ea5999b23532268140b7d587bf6b48.png b/_images/f778d83eca14dce437c8dccbab7d9943edb7acc15f1be8396b1fc4a69d8743a9.png
similarity index 99%
rename from _images/202158675afb7ed881b0de66c5f37f2559ea5999b23532268140b7d587bf6b48.png
rename to _images/f778d83eca14dce437c8dccbab7d9943edb7acc15f1be8396b1fc4a69d8743a9.png
index 97f824680d1e50e626a6aa4ed7219d2fabb110a6..ae1310165d3ffdde58644cd4bbe59265999db5a3 100644
GIT binary patch
delta 45
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B5^w+j

delta 45
zcmcc9!hENNd4ijQxt^hpLPkkRL9vy-er{q(K~8>2PG*u`eo?yqZ7z=XjcMNw0swk!
B5s3f*

diff --git a/_images/68641af56735647a71632cfbb0af452f485bd1e429f349b747019c20fc7023de.png b/_images/faced41c0c2e3fd7c27bdc86b4c937e1fa26b9fbe3e1585879a3a684c621e747.png
similarity index 97%
rename from _images/68641af56735647a71632cfbb0af452f485bd1e429f349b747019c20fc7023de.png
rename to _images/faced41c0c2e3fd7c27bdc86b4c937e1fa26b9fbe3e1585879a3a684c621e747.png
index 147ecdeef9397ddafd9fe625425971e924a28a7c..d79a3a693168aadb4cee57fef9b6fe77f49fe88f 100644
GIT binary patch
delta 48
zcmaEKn&r`HmI-bO7J9}y3K=CO1;tkS`nicE1v&X8Ihjd%`9<ma$Dc(6H>Pb(W2{jH
E0MSPh;s5{u

delta 48
zcmaEKn&r`HmI-bO=6Z%Y3K=CO1;tkS`nicE1v&X8Ihjd%`9<max4Agl8`HL?G1jO8
E0LSVP`v3p{

diff --git a/_static/_sphinx_javascript_frameworks_compat.js b/_static/_sphinx_javascript_frameworks_compat.js
new file mode 100644
index 00000000..8549469d
--- /dev/null
+++ b/_static/_sphinx_javascript_frameworks_compat.js
@@ -0,0 +1,134 @@
+/*
+ * _sphinx_javascript_frameworks_compat.js
+ * ~~~~~~~~~~
+ *
+ * Compatability shim for jQuery and underscores.js.
+ *
+ * WILL BE REMOVED IN Sphinx 6.0
+ * xref RemovedInSphinx60Warning
+ *
+ */
+
+/**
+ * select a different prefix for underscore
+ */
+$u = _.noConflict();
+
+
+/**
+ * small helper function to urldecode strings
+ *
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL
+ */
+jQuery.urldecode = function(x) {
+    if (!x) {
+        return x
+    }
+    return decodeURIComponent(x.replace(/\+/g, ' '));
+};
+
+/**
+ * small helper function to urlencode strings
+ */
+jQuery.urlencode = encodeURIComponent;
+
+/**
+ * This function returns the parsed url parameters of the
+ * current request. Multiple values per key are supported,
+ * it will always return arrays of strings for the value parts.
+ */
+jQuery.getQueryParameters = function(s) {
+    if (typeof s === 'undefined')
+        s = document.location.search;
+    var parts = s.substr(s.indexOf('?') + 1).split('&');
+    var result = {};
+    for (var i = 0; i < parts.length; i++) {
+        var tmp = parts[i].split('=', 2);
+        var key = jQuery.urldecode(tmp[0]);
+        var value = jQuery.urldecode(tmp[1]);
+        if (key in result)
+            result[key].push(value);
+        else
+            result[key] = [value];
+    }
+    return result;
+};
+
+/**
+ * highlight a given string on a jquery object by wrapping it in
+ * span elements with the given class name.
+ */
+jQuery.fn.highlightText = function(text, className) {
+    function highlight(node, addItems) {
+        if (node.nodeType === 3) {
+            var val = node.nodeValue;
+            var pos = val.toLowerCase().indexOf(text);
+            if (pos >= 0 &&
+                !jQuery(node.parentNode).hasClass(className) &&
+                !jQuery(node.parentNode).hasClass("nohighlight")) {
+                var span;
+                var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
+                if (isInSVG) {
+                    span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+                } else {
+                    span = document.createElement("span");
+                    span.className = className;
+                }
+                span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+                node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+                    document.createTextNode(val.substr(pos + text.length)),
+                    node.nextSibling));
+                node.nodeValue = val.substr(0, pos);
+                if (isInSVG) {
+                    var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
+                    var bbox = node.parentElement.getBBox();
+                    rect.x.baseVal.value = bbox.x;
+                    rect.y.baseVal.value = bbox.y;
+                    rect.width.baseVal.value = bbox.width;
+                    rect.height.baseVal.value = bbox.height;
+                    rect.setAttribute('class', className);
+                    addItems.push({
+                        "parent": node.parentNode,
+                        "target": rect});
+                }
+            }
+        }
+        else if (!jQuery(node).is("button, select, textarea")) {
+            jQuery.each(node.childNodes, function() {
+                highlight(this, addItems);
+            });
+        }
+    }
+    var addItems = [];
+    var result = this.each(function() {
+        highlight(this, addItems);
+    });
+    for (var i = 0; i < addItems.length; ++i) {
+        jQuery(addItems[i].parent).before(addItems[i].target);
+    }
+    return result;
+};
+
+/*
+ * backward compatibility for jQuery.browser
+ * This will be supported until firefox bug is fixed.
+ */
+if (!jQuery.browser) {
+    jQuery.uaMatch = function(ua) {
+        ua = ua.toLowerCase();
+
+        var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
+            /(webkit)[ \/]([\w.]+)/.exec(ua) ||
+            /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
+            /(msie) ([\w.]+)/.exec(ua) ||
+            ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
+            [];
+
+        return {
+            browser: match[ 1 ] || "",
+            version: match[ 2 ] || "0"
+        };
+    };
+    jQuery.browser = {};
+    jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
+}
diff --git a/_static/basic.css b/_static/basic.css
index d54be806..5685b52e 100644
--- a/_static/basic.css
+++ b/_static/basic.css
@@ -222,7 +222,7 @@ table.modindextable td {
 /* -- general body styles --------------------------------------------------- */
 
 div.body {
-    min-width: 450px;
+    min-width: 360px;
     max-width: 800px;
 }
 
@@ -236,7 +236,6 @@ div.body p, div.body dd, div.body li, div.body blockquote {
 a.headerlink {
     visibility: hidden;
 }
-
 a.brackets:before,
 span.brackets > a:before{
     content: "[";
@@ -247,6 +246,7 @@ span.brackets > a:after {
     content: "]";
 }
 
+
 h1:hover > a.headerlink,
 h2:hover > a.headerlink,
 h3:hover > a.headerlink,
@@ -334,13 +334,11 @@ aside.sidebar {
 p.sidebar-title {
     font-weight: bold;
 }
-
 div.admonition, div.topic, blockquote {
     clear: left;
 }
 
 /* -- topics ---------------------------------------------------------------- */
-
 div.topic {
     border: 1px solid #ccc;
     padding: 7px;
@@ -428,10 +426,6 @@ table.docutils td, table.docutils th {
     border-bottom: 1px solid #aaa;
 }
 
-table.footnote td, table.footnote th {
-    border: 0 !important;
-}
-
 th {
     text-align: left;
     padding-right: 5px;
@@ -615,6 +609,7 @@ ul.simple p {
     margin-bottom: 0;
 }
 
+/* Docutils 0.17 and older (footnotes & citations) */
 dl.footnote > dt,
 dl.citation > dt {
     float: left;
@@ -632,6 +627,33 @@ dl.citation > dd:after {
     clear: both;
 }
 
+/* Docutils 0.18+ (footnotes & citations) */
+aside.footnote > span,
+div.citation > span {
+    float: left;
+}
+aside.footnote > span:last-of-type,
+div.citation > span:last-of-type {
+  padding-right: 0.5em;
+}
+aside.footnote > p {
+  margin-left: 2em;
+}
+div.citation > p {
+  margin-left: 4em;
+}
+aside.footnote > p:last-of-type,
+div.citation > p:last-of-type {
+    margin-bottom: 0em;
+}
+aside.footnote > p:last-of-type:after,
+div.citation > p:last-of-type:after {
+    content: "";
+    clear: both;
+}
+
+/* Footnotes & citations ends */
+
 dl.field-list {
     display: grid;
     grid-template-columns: fit-content(30%) auto;
diff --git a/_static/doctools.js b/_static/doctools.js
index e1bfd708..c3db08d1 100644
--- a/_static/doctools.js
+++ b/_static/doctools.js
@@ -2,357 +2,263 @@
  * doctools.js
  * ~~~~~~~~~~~
  *
- * Sphinx JavaScript utilities for all documentation.
+ * Base JavaScript utilities for all Sphinx HTML documentation.
  *
  * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
+"use strict";
 
-/**
- * select a different prefix for underscore
- */
-$u = _.noConflict();
-
-/**
- * make the code below compatible with browsers without
- * an installed firebug like debugger
-if (!window.console || !console.firebug) {
-  var names = ["log", "debug", "info", "warn", "error", "assert", "dir",
-    "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace",
-    "profile", "profileEnd"];
-  window.console = {};
-  for (var i = 0; i < names.length; ++i)
-    window.console[names[i]] = function() {};
-}
- */
-
-/**
- * small helper function to urldecode strings
- *
- * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL
- */
-jQuery.urldecode = function(x) {
-  if (!x) {
-    return x
+const _ready = (callback) => {
+  if (document.readyState !== "loading") {
+    callback();
+  } else {
+    document.addEventListener("DOMContentLoaded", callback);
   }
-  return decodeURIComponent(x.replace(/\+/g, ' '));
 };
 
 /**
- * small helper function to urlencode strings
+ * highlight a given string on a node by wrapping it in
+ * span elements with the given class name.
  */
-jQuery.urlencode = encodeURIComponent;
+const _highlight = (node, addItems, text, className) => {
+  if (node.nodeType === Node.TEXT_NODE) {
+    const val = node.nodeValue;
+    const parent = node.parentNode;
+    const pos = val.toLowerCase().indexOf(text);
+    if (
+      pos >= 0 &&
+      !parent.classList.contains(className) &&
+      !parent.classList.contains("nohighlight")
+    ) {
+      let span;
 
-/**
- * This function returns the parsed url parameters of the
- * current request. Multiple values per key are supported,
- * it will always return arrays of strings for the value parts.
- */
-jQuery.getQueryParameters = function(s) {
-  if (typeof s === 'undefined')
-    s = document.location.search;
-  var parts = s.substr(s.indexOf('?') + 1).split('&');
-  var result = {};
-  for (var i = 0; i < parts.length; i++) {
-    var tmp = parts[i].split('=', 2);
-    var key = jQuery.urldecode(tmp[0]);
-    var value = jQuery.urldecode(tmp[1]);
-    if (key in result)
-      result[key].push(value);
-    else
-      result[key] = [value];
-  }
-  return result;
-};
+      const closestNode = parent.closest("body, svg, foreignObject");
+      const isInSVG = closestNode && closestNode.matches("svg");
+      if (isInSVG) {
+        span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+      } else {
+        span = document.createElement("span");
+        span.classList.add(className);
+      }
 
-/**
- * highlight a given string on a jquery object by wrapping it in
- * span elements with the given class name.
- */
-jQuery.fn.highlightText = function(text, className) {
-  function highlight(node, addItems) {
-    if (node.nodeType === 3) {
-      var val = node.nodeValue;
-      var pos = val.toLowerCase().indexOf(text);
-      if (pos >= 0 &&
-          !jQuery(node.parentNode).hasClass(className) &&
-          !jQuery(node.parentNode).hasClass("nohighlight")) {
-        var span;
-        var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
-        if (isInSVG) {
-          span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
-        } else {
-          span = document.createElement("span");
-          span.className = className;
-        }
-        span.appendChild(document.createTextNode(val.substr(pos, text.length)));
-        node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+      span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+      parent.insertBefore(
+        span,
+        parent.insertBefore(
           document.createTextNode(val.substr(pos + text.length)),
-          node.nextSibling));
-        node.nodeValue = val.substr(0, pos);
-        if (isInSVG) {
-          var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
-          var bbox = node.parentElement.getBBox();
-          rect.x.baseVal.value = bbox.x;
-          rect.y.baseVal.value = bbox.y;
-          rect.width.baseVal.value = bbox.width;
-          rect.height.baseVal.value = bbox.height;
-          rect.setAttribute('class', className);
-          addItems.push({
-              "parent": node.parentNode,
-              "target": rect});
-        }
+          node.nextSibling
+        )
+      );
+      node.nodeValue = val.substr(0, pos);
+
+      if (isInSVG) {
+        const rect = document.createElementNS(
+          "http://www.w3.org/2000/svg",
+          "rect"
+        );
+        const bbox = parent.getBBox();
+        rect.x.baseVal.value = bbox.x;
+        rect.y.baseVal.value = bbox.y;
+        rect.width.baseVal.value = bbox.width;
+        rect.height.baseVal.value = bbox.height;
+        rect.setAttribute("class", className);
+        addItems.push({ parent: parent, target: rect });
       }
     }
-    else if (!jQuery(node).is("button, select, textarea")) {
-      jQuery.each(node.childNodes, function() {
-        highlight(this, addItems);
-      });
-    }
+  } else if (node.matches && !node.matches("button, select, textarea")) {
+    node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
   }
-  var addItems = [];
-  var result = this.each(function() {
-    highlight(this, addItems);
-  });
-  for (var i = 0; i < addItems.length; ++i) {
-    jQuery(addItems[i].parent).before(addItems[i].target);
-  }
-  return result;
 };
-
-/*
- * backward compatibility for jQuery.browser
- * This will be supported until firefox bug is fixed.
- */
-if (!jQuery.browser) {
-  jQuery.uaMatch = function(ua) {
-    ua = ua.toLowerCase();
-
-    var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
-      /(webkit)[ \/]([\w.]+)/.exec(ua) ||
-      /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
-      /(msie) ([\w.]+)/.exec(ua) ||
-      ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
-      [];
-
-    return {
-      browser: match[ 1 ] || "",
-      version: match[ 2 ] || "0"
-    };
-  };
-  jQuery.browser = {};
-  jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
-}
+const _highlightText = (thisNode, text, className) => {
+  let addItems = [];
+  _highlight(thisNode, addItems, text, className);
+  addItems.forEach((obj) =>
+    obj.parent.insertAdjacentElement("beforebegin", obj.target)
+  );
+};
 
 /**
  * Small JavaScript module for the documentation.
  */
-var Documentation = {
-
-  init : function() {
-    this.fixFirefoxAnchorBug();
-    this.highlightSearchWords();
-    this.initIndexTable();
-    this.initOnKeyListeners();
+const Documentation = {
+  init: () => {
+    Documentation.highlightSearchWords();
+    Documentation.initDomainIndexTable();
+    Documentation.initOnKeyListeners();
   },
 
   /**
    * i18n support
    */
-  TRANSLATIONS : {},
-  PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; },
-  LOCALE : 'unknown',
+  TRANSLATIONS: {},
+  PLURAL_EXPR: (n) => (n === 1 ? 0 : 1),
+  LOCALE: "unknown",
 
   // gettext and ngettext don't access this so that the functions
   // can safely bound to a different name (_ = Documentation.gettext)
-  gettext : function(string) {
-    var translated = Documentation.TRANSLATIONS[string];
-    if (typeof translated === 'undefined')
-      return string;
-    return (typeof translated === 'string') ? translated : translated[0];
-  },
-
-  ngettext : function(singular, plural, n) {
-    var translated = Documentation.TRANSLATIONS[singular];
-    if (typeof translated === 'undefined')
-      return (n == 1) ? singular : plural;
-    return translated[Documentation.PLURALEXPR(n)];
-  },
-
-  addTranslations : function(catalog) {
-    for (var key in catalog.messages)
-      this.TRANSLATIONS[key] = catalog.messages[key];
-    this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')');
-    this.LOCALE = catalog.locale;
+  gettext: (string) => {
+    const translated = Documentation.TRANSLATIONS[string];
+    switch (typeof translated) {
+      case "undefined":
+        return string; // no translation
+      case "string":
+        return translated; // translation exists
+      default:
+        return translated[0]; // (singular, plural) translation tuple exists
+    }
   },
 
-  /**
-   * add context elements like header anchor links
-   */
-  addContextElements : function() {
-    $('div[id] > :header:first').each(function() {
-      $('<a class="headerlink">\u00B6</a>').
-      attr('href', '#' + this.id).
-      attr('title', _('Permalink to this headline')).
-      appendTo(this);
-    });
-    $('dt[id]').each(function() {
-      $('<a class="headerlink">\u00B6</a>').
-      attr('href', '#' + this.id).
-      attr('title', _('Permalink to this definition')).
-      appendTo(this);
-    });
+  ngettext: (singular, plural, n) => {
+    const translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated !== "undefined")
+      return translated[Documentation.PLURAL_EXPR(n)];
+    return n === 1 ? singular : plural;
   },
 
-  /**
-   * workaround a firefox stupidity
-   * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075
-   */
-  fixFirefoxAnchorBug : function() {
-    if (document.location.hash && $.browser.mozilla)
-      window.setTimeout(function() {
-        document.location.href += '';
-      }, 10);
+  addTranslations: (catalog) => {
+    Object.assign(Documentation.TRANSLATIONS, catalog.messages);
+    Documentation.PLURAL_EXPR = new Function(
+      "n",
+      `return (${catalog.plural_expr})`
+    );
+    Documentation.LOCALE = catalog.locale;
   },
 
   /**
    * highlight the search words provided in the url in the text
    */
-  highlightSearchWords : function() {
-    var params = $.getQueryParameters();
-    var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : [];
-    if (terms.length) {
-      var body = $('div.body');
-      if (!body.length) {
-        body = $('body');
-      }
-      window.setTimeout(function() {
-        $.each(terms, function() {
-          body.highlightText(this.toLowerCase(), 'highlighted');
-        });
-      }, 10);
-      $('<p class="highlight-link"><a href="javascript:Documentation.' +
-        'hideSearchWords()">' + _('Hide Search Matches') + '</a></p>')
-          .appendTo($('#searchbox'));
-    }
-  },
+  highlightSearchWords: () => {
+    const highlight =
+      new URLSearchParams(window.location.search).get("highlight") || "";
+    const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
+    if (terms.length === 0) return; // nothing to do
 
-  /**
-   * init the domain index toggle buttons
-   */
-  initIndexTable : function() {
-    var togglers = $('img.toggler').click(function() {
-      var src = $(this).attr('src');
-      var idnum = $(this).attr('id').substr(7);
-      $('tr.cg-' + idnum).toggle();
-      if (src.substr(-9) === 'minus.png')
-        $(this).attr('src', src.substr(0, src.length-9) + 'plus.png');
-      else
-        $(this).attr('src', src.substr(0, src.length-8) + 'minus.png');
-    }).css('display', '');
-    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) {
-        togglers.click();
-    }
+    // There should never be more than one element matching "div.body"
+    const divBody = document.querySelectorAll("div.body");
+    const body = divBody.length ? divBody[0] : document.querySelector("body");
+    window.setTimeout(() => {
+      terms.forEach((term) => _highlightText(body, term, "highlighted"));
+    }, 10);
+
+    const searchBox = document.getElementById("searchbox");
+    if (searchBox === null) return;
+    searchBox.appendChild(
+      document
+        .createRange()
+        .createContextualFragment(
+          '<p class="highlight-link">' +
+            '<a href="javascript:Documentation.hideSearchWords()">' +
+            Documentation.gettext("Hide Search Matches") +
+            "</a></p>"
+        )
+    );
   },
 
   /**
    * helper function to hide the search marks again
    */
-  hideSearchWords : function() {
-    $('#searchbox .highlight-link').fadeOut(300);
-    $('span.highlighted').removeClass('highlighted');
-    var url = new URL(window.location);
-    url.searchParams.delete('highlight');
-    window.history.replaceState({}, '', url);
+  hideSearchWords: () => {
+    document
+      .querySelectorAll("#searchbox .highlight-link")
+      .forEach((el) => el.remove());
+    document
+      .querySelectorAll("span.highlighted")
+      .forEach((el) => el.classList.remove("highlighted"));
+    const url = new URL(window.location);
+    url.searchParams.delete("highlight");
+    window.history.replaceState({}, "", url);
   },
 
-   /**
+  /**
    * helper function to focus on search bar
    */
-  focusSearchBar : function() {
-    $('input[name=q]').first().focus();
+  focusSearchBar: () => {
+    document.querySelectorAll("input[name=q]")[0]?.focus();
   },
 
   /**
-   * make the url absolute
+   * Initialise the domain index toggle buttons
    */
-  makeURL : function(relativeURL) {
-    return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL;
-  },
+  initDomainIndexTable: () => {
+    const toggler = (el) => {
+      const idNumber = el.id.substr(7);
+      const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`);
+      if (el.src.substr(-9) === "minus.png") {
+        el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`;
+        toggledRows.forEach((el) => (el.style.display = "none"));
+      } else {
+        el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`;
+        toggledRows.forEach((el) => (el.style.display = ""));
+      }
+    };
 
-  /**
-   * get the current relative url
-   */
-  getCurrentURL : function() {
-    var path = document.location.pathname;
-    var parts = path.split(/\//);
-    $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() {
-      if (this === '..')
-        parts.pop();
-    });
-    var url = parts.join('/');
-    return path.substring(url.lastIndexOf('/') + 1, path.length - 1);
+    const togglerElements = document.querySelectorAll("img.toggler");
+    togglerElements.forEach((el) =>
+      el.addEventListener("click", (event) => toggler(event.currentTarget))
+    );
+    togglerElements.forEach((el) => (el.style.display = ""));
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler);
   },
 
-  initOnKeyListeners: function() {
+  initOnKeyListeners: () => {
     // only install a listener if it is really needed
-    if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
-        !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
-        return;
+    if (
+      !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
+      !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
+    )
+      return;
 
-    $(document).keydown(function(event) {
-      var activeElementType = document.activeElement.tagName;
-      // don't navigate when in search box, textarea, dropdown or button
-      if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT'
-          && activeElementType !== 'BUTTON') {
-        if (event.altKey || event.ctrlKey || event.metaKey)
-          return;
+    const blacklistedElements = new Set([
+      "TEXTAREA",
+      "INPUT",
+      "SELECT",
+      "BUTTON",
+    ]);
+    document.addEventListener("keydown", (event) => {
+      if (blacklistedElements.has(document.activeElement.tagName)) return; // bail for input elements
+      if (event.altKey || event.ctrlKey || event.metaKey) return; // bail with special keys
 
-          if (!event.shiftKey) {
-            switch (event.key) {
-              case 'ArrowLeft':
-                if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS)
-                  break;
-                var prevHref = $('link[rel="prev"]').prop('href');
-                if (prevHref) {
-                  window.location.href = prevHref;
-                  return false;
-                }
-                break;
-              case 'ArrowRight':
-                if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS)
-                  break;
-                var nextHref = $('link[rel="next"]').prop('href');
-                if (nextHref) {
-                  window.location.href = nextHref;
-                  return false;
-                }
-                break;
-              case 'Escape':
-                if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
-                  break;
-                Documentation.hideSearchWords();
-                return false;
-          }
-        }
-
-        // some keyboard layouts may need Shift to get /
+      if (!event.shiftKey) {
         switch (event.key) {
-          case '/':
-            if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS)
-              break;
-            Documentation.focusSearchBar();
-            return false;
+          case "ArrowLeft":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const prevLink = document.querySelector('link[rel="prev"]');
+            if (prevLink && prevLink.href) {
+              window.location.href = prevLink.href;
+              event.preventDefault();
+            }
+            break;
+          case "ArrowRight":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const nextLink = document.querySelector('link[rel="next"]');
+            if (nextLink && nextLink.href) {
+              window.location.href = nextLink.href;
+              event.preventDefault();
+            }
+            break;
+          case "Escape":
+            if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
+            Documentation.hideSearchWords();
+            event.preventDefault();
         }
       }
+
+      // some keyboard layouts may need Shift to get /
+      switch (event.key) {
+        case "/":
+          if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
+          Documentation.focusSearchBar();
+          event.preventDefault();
+      }
     });
-  }
+  },
 };
 
 // quick alias for translations
-_ = Documentation.gettext;
+const _ = Documentation.gettext;
 
-$(document).ready(function() {
-  Documentation.init();
-});
+_ready(Documentation.init);
diff --git a/_static/documentation_options.js b/_static/documentation_options.js
index 03c0d01d..162a6ba8 100644
--- a/_static/documentation_options.js
+++ b/_static/documentation_options.js
@@ -8,7 +8,7 @@ var DOCUMENTATION_OPTIONS = {
     LINK_SUFFIX: '.html',
     HAS_SOURCE: true,
     SOURCELINK_SUFFIX: '',
-    NAVIGATION_WITH_KEYS: true,
+    NAVIGATION_WITH_KEYS: false,
     SHOW_SEARCH_SUMMARY: true,
-    ENABLE_SEARCH_SHORTCUTS: true,
+    ENABLE_SEARCH_SHORTCUTS: false,
 };
\ No newline at end of file
diff --git a/_static/jquery-3.5.1.js b/_static/jquery-3.6.0.js
similarity index 98%
rename from _static/jquery-3.5.1.js
rename to _static/jquery-3.6.0.js
index 50937333..fc6c299b 100644
--- a/_static/jquery-3.5.1.js
+++ b/_static/jquery-3.6.0.js
@@ -1,15 +1,15 @@
 /*!
- * jQuery JavaScript Library v3.5.1
+ * jQuery JavaScript Library v3.6.0
  * https://jquery.com/
  *
  * Includes Sizzle.js
  * https://sizzlejs.com/
  *
- * Copyright JS Foundation and other contributors
+ * Copyright OpenJS Foundation and other contributors
  * Released under the MIT license
  * https://jquery.org/license
  *
- * Date: 2020-05-04T22:49Z
+ * Date: 2021-03-02T17:08Z
  */
 ( function( global, factory ) {
 
@@ -76,12 +76,16 @@ var support = {};
 
 var isFunction = function isFunction( obj ) {
 
-      // Support: Chrome <=57, Firefox <=52
-      // In some browsers, typeof returns "function" for HTML <object> elements
-      // (i.e., `typeof document.createElement( "object" ) === "function"`).
-      // We don't want to classify *any* DOM node as a function.
-      return typeof obj === "function" && typeof obj.nodeType !== "number";
-  };
+		// Support: Chrome <=57, Firefox <=52
+		// In some browsers, typeof returns "function" for HTML <object> elements
+		// (i.e., `typeof document.createElement( "object" ) === "function"`).
+		// We don't want to classify *any* DOM node as a function.
+		// Support: QtWeb <=3.8.5, WebKit <=534.34, wkhtmltopdf tool <=0.12.5
+		// Plus for old WebKit, typeof returns "function" for HTML collections
+		// (e.g., `typeof document.getElementsByTagName("div") === "function"`). (gh-4756)
+		return typeof obj === "function" && typeof obj.nodeType !== "number" &&
+			typeof obj.item !== "function";
+	};
 
 
 var isWindow = function isWindow( obj ) {
@@ -147,7 +151,7 @@ function toType( obj ) {
 
 
 var
-	version = "3.5.1",
+	version = "3.6.0",
 
 	// Define a local copy of jQuery
 	jQuery = function( selector, context ) {
@@ -401,7 +405,7 @@ jQuery.extend( {
 			if ( isArrayLike( Object( arr ) ) ) {
 				jQuery.merge( ret,
 					typeof arr === "string" ?
-					[ arr ] : arr
+						[ arr ] : arr
 				);
 			} else {
 				push.call( ret, arr );
@@ -496,9 +500,9 @@ if ( typeof Symbol === "function" ) {
 
 // Populate the class2type map
 jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
-function( _i, name ) {
-	class2type[ "[object " + name + "]" ] = name.toLowerCase();
-} );
+	function( _i, name ) {
+		class2type[ "[object " + name + "]" ] = name.toLowerCase();
+	} );
 
 function isArrayLike( obj ) {
 
@@ -518,14 +522,14 @@ function isArrayLike( obj ) {
 }
 var Sizzle =
 /*!
- * Sizzle CSS Selector Engine v2.3.5
+ * Sizzle CSS Selector Engine v2.3.6
  * https://sizzlejs.com/
  *
  * Copyright JS Foundation and other contributors
  * Released under the MIT license
  * https://js.foundation/
  *
- * Date: 2020-03-14
+ * Date: 2021-02-16
  */
 ( function( window ) {
 var i,
@@ -1108,8 +1112,8 @@ support = Sizzle.support = {};
  * @returns {Boolean} True iff elem is a non-HTML XML node
  */
 isXML = Sizzle.isXML = function( elem ) {
-	var namespace = elem.namespaceURI,
-		docElem = ( elem.ownerDocument || elem ).documentElement;
+	var namespace = elem && elem.namespaceURI,
+		docElem = elem && ( elem.ownerDocument || elem ).documentElement;
 
 	// Support: IE <=8
 	// Assume HTML when documentElement doesn't yet exist, such as inside loading iframes
@@ -3024,9 +3028,9 @@ var rneedsContext = jQuery.expr.match.needsContext;
 
 function nodeName( elem, name ) {
 
-  return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
+	return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
 
-};
+}
 var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
 
 
@@ -3997,8 +4001,8 @@ jQuery.extend( {
 			resolveContexts = Array( i ),
 			resolveValues = slice.call( arguments ),
 
-			// the master Deferred
-			master = jQuery.Deferred(),
+			// the primary Deferred
+			primary = jQuery.Deferred(),
 
 			// subordinate callback factory
 			updateFunc = function( i ) {
@@ -4006,30 +4010,30 @@ jQuery.extend( {
 					resolveContexts[ i ] = this;
 					resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
 					if ( !( --remaining ) ) {
-						master.resolveWith( resolveContexts, resolveValues );
+						primary.resolveWith( resolveContexts, resolveValues );
 					}
 				};
 			};
 
 		// Single- and empty arguments are adopted like Promise.resolve
 		if ( remaining <= 1 ) {
-			adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject,
+			adoptValue( singleValue, primary.done( updateFunc( i ) ).resolve, primary.reject,
 				!remaining );
 
 			// Use .then() to unwrap secondary thenables (cf. gh-3000)
-			if ( master.state() === "pending" ||
+			if ( primary.state() === "pending" ||
 				isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
 
-				return master.then();
+				return primary.then();
 			}
 		}
 
 		// Multiple arguments are aggregated like Promise.all array elements
 		while ( i-- ) {
-			adoptValue( resolveValues[ i ], updateFunc( i ), master.reject );
+			adoptValue( resolveValues[ i ], updateFunc( i ), primary.reject );
 		}
 
-		return master.promise();
+		return primary.promise();
 	}
 } );
 
@@ -4180,8 +4184,8 @@ var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
 			for ( ; i < len; i++ ) {
 				fn(
 					elems[ i ], key, raw ?
-					value :
-					value.call( elems[ i ], i, fn( elems[ i ], key ) )
+						value :
+						value.call( elems[ i ], i, fn( elems[ i ], key ) )
 				);
 			}
 		}
@@ -5089,10 +5093,7 @@ function buildFragment( elems, context, scripts, selection, ignored ) {
 }
 
 
-var
-	rkeyEvent = /^key/,
-	rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/,
-	rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
+var rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
 
 function returnTrue() {
 	return true;
@@ -5387,8 +5388,8 @@ jQuery.event = {
 			event = jQuery.event.fix( nativeEvent ),
 
 			handlers = (
-					dataPriv.get( this, "events" ) || Object.create( null )
-				)[ event.type ] || [],
+				dataPriv.get( this, "events" ) || Object.create( null )
+			)[ event.type ] || [],
 			special = jQuery.event.special[ event.type ] || {};
 
 		// Use the fix-ed jQuery.Event rather than the (read-only) native event
@@ -5512,12 +5513,12 @@ jQuery.event = {
 			get: isFunction( hook ) ?
 				function() {
 					if ( this.originalEvent ) {
-							return hook( this.originalEvent );
+						return hook( this.originalEvent );
 					}
 				} :
 				function() {
 					if ( this.originalEvent ) {
-							return this.originalEvent[ name ];
+						return this.originalEvent[ name ];
 					}
 				},
 
@@ -5656,7 +5657,13 @@ function leverageNative( el, type, expectSync ) {
 						// Cancel the outer synthetic event
 						event.stopImmediatePropagation();
 						event.preventDefault();
-						return result.value;
+
+						// Support: Chrome 86+
+						// In Chrome, if an element having a focusout handler is blurred by
+						// clicking outside of it, it invokes the handler synchronously. If
+						// that handler calls `.remove()` on the element, the data is cleared,
+						// leaving `result` undefined. We need to guard against this.
+						return result && result.value;
 					}
 
 				// If this is an inner synthetic event for an event with a bubbling surrogate
@@ -5821,34 +5828,7 @@ jQuery.each( {
 	targetTouches: true,
 	toElement: true,
 	touches: true,
-
-	which: function( event ) {
-		var button = event.button;
-
-		// Add which for key events
-		if ( event.which == null && rkeyEvent.test( event.type ) ) {
-			return event.charCode != null ? event.charCode : event.keyCode;
-		}
-
-		// Add which for click: 1 === left; 2 === middle; 3 === right
-		if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) {
-			if ( button & 1 ) {
-				return 1;
-			}
-
-			if ( button & 2 ) {
-				return 3;
-			}
-
-			if ( button & 4 ) {
-				return 2;
-			}
-
-			return 0;
-		}
-
-		return event.which;
-	}
+	which: true
 }, jQuery.event.addProp );
 
 jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) {
@@ -5874,6 +5854,12 @@ jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateTyp
 			return true;
 		},
 
+		// Suppress native focus or blur as it's already being fired
+		// in leverageNative.
+		_default: function() {
+			return true;
+		},
+
 		delegateType: delegateType
 	};
 } );
@@ -6541,6 +6527,10 @@ var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
 		// set in CSS while `offset*` properties report correct values.
 		// Behavior in IE 9 is more subtle than in newer versions & it passes
 		// some versions of this test; make sure not to make it pass there!
+		//
+		// Support: Firefox 70+
+		// Only Firefox includes border widths
+		// in computed dimensions. (gh-4529)
 		reliableTrDimensions: function() {
 			var table, tr, trChild, trStyle;
 			if ( reliableTrDimensionsVal == null ) {
@@ -6548,17 +6538,32 @@ var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
 				tr = document.createElement( "tr" );
 				trChild = document.createElement( "div" );
 
-				table.style.cssText = "position:absolute;left:-11111px";
+				table.style.cssText = "position:absolute;left:-11111px;border-collapse:separate";
+				tr.style.cssText = "border:1px solid";
+
+				// Support: Chrome 86+
+				// Height set through cssText does not get applied.
+				// Computed height then comes back as 0.
 				tr.style.height = "1px";
 				trChild.style.height = "9px";
 
+				// Support: Android 8 Chrome 86+
+				// In our bodyBackground.html iframe,
+				// display for all div elements is set to "inline",
+				// which causes a problem only in Android 8 Chrome 86.
+				// Ensuring the div is display: block
+				// gets around this issue.
+				trChild.style.display = "block";
+
 				documentElement
 					.appendChild( table )
 					.appendChild( tr )
 					.appendChild( trChild );
 
 				trStyle = window.getComputedStyle( tr );
-				reliableTrDimensionsVal = parseInt( trStyle.height ) > 3;
+				reliableTrDimensionsVal = ( parseInt( trStyle.height, 10 ) +
+					parseInt( trStyle.borderTopWidth, 10 ) +
+					parseInt( trStyle.borderBottomWidth, 10 ) ) === tr.offsetHeight;
 
 				documentElement.removeChild( table );
 			}
@@ -7022,10 +7027,10 @@ jQuery.each( [ "height", "width" ], function( _i, dimension ) {
 					// Running getBoundingClientRect on a disconnected node
 					// in IE throws an error.
 					( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
-						swap( elem, cssShow, function() {
-							return getWidthOrHeight( elem, dimension, extra );
-						} ) :
-						getWidthOrHeight( elem, dimension, extra );
+					swap( elem, cssShow, function() {
+						return getWidthOrHeight( elem, dimension, extra );
+					} ) :
+					getWidthOrHeight( elem, dimension, extra );
 			}
 		},
 
@@ -7084,7 +7089,7 @@ jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
 					swap( elem, { marginLeft: 0 }, function() {
 						return elem.getBoundingClientRect().left;
 					} )
-				) + "px";
+			) + "px";
 		}
 	}
 );
@@ -7223,7 +7228,7 @@ Tween.propHooks = {
 			if ( jQuery.fx.step[ tween.prop ] ) {
 				jQuery.fx.step[ tween.prop ]( tween );
 			} else if ( tween.elem.nodeType === 1 && (
-					jQuery.cssHooks[ tween.prop ] ||
+				jQuery.cssHooks[ tween.prop ] ||
 					tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
 				jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
 			} else {
@@ -7468,7 +7473,7 @@ function defaultPrefilter( elem, props, opts ) {
 
 			anim.done( function() {
 
-			/* eslint-enable no-loop-func */
+				/* eslint-enable no-loop-func */
 
 				// The final step of a "hide" animation is actually hiding the element
 				if ( !hidden ) {
@@ -7588,7 +7593,7 @@ function Animation( elem, properties, options ) {
 			tweens: [],
 			createTween: function( prop, end ) {
 				var tween = jQuery.Tween( elem, animation.opts, prop, end,
-						animation.opts.specialEasing[ prop ] || animation.opts.easing );
+					animation.opts.specialEasing[ prop ] || animation.opts.easing );
 				animation.tweens.push( tween );
 				return tween;
 			},
@@ -7761,7 +7766,8 @@ jQuery.fn.extend( {
 					anim.stop( true );
 				}
 			};
-			doAnimation.finish = doAnimation;
+
+		doAnimation.finish = doAnimation;
 
 		return empty || optall.queue === false ?
 			this.each( doAnimation ) :
@@ -8401,8 +8407,8 @@ jQuery.fn.extend( {
 				if ( this.setAttribute ) {
 					this.setAttribute( "class",
 						className || value === false ?
-						"" :
-						dataPriv.get( this, "__className__" ) || ""
+							"" :
+							dataPriv.get( this, "__className__" ) || ""
 					);
 				}
 			}
@@ -8417,7 +8423,7 @@ jQuery.fn.extend( {
 		while ( ( elem = this[ i++ ] ) ) {
 			if ( elem.nodeType === 1 &&
 				( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
-					return true;
+				return true;
 			}
 		}
 
@@ -8707,9 +8713,7 @@ jQuery.extend( jQuery.event, {
 				special.bindType || type;
 
 			// jQuery handler
-			handle = (
-					dataPriv.get( cur, "events" ) || Object.create( null )
-				)[ event.type ] &&
+			handle = ( dataPriv.get( cur, "events" ) || Object.create( null ) )[ event.type ] &&
 				dataPriv.get( cur, "handle" );
 			if ( handle ) {
 				handle.apply( cur, data );
@@ -8856,7 +8860,7 @@ var rquery = ( /\?/ );
 
 // Cross-browser xml parsing
 jQuery.parseXML = function( data ) {
-	var xml;
+	var xml, parserErrorElem;
 	if ( !data || typeof data !== "string" ) {
 		return null;
 	}
@@ -8865,12 +8869,17 @@ jQuery.parseXML = function( data ) {
 	// IE throws on parseFromString with invalid input.
 	try {
 		xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
-	} catch ( e ) {
-		xml = undefined;
-	}
+	} catch ( e ) {}
 
-	if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) {
-		jQuery.error( "Invalid XML: " + data );
+	parserErrorElem = xml && xml.getElementsByTagName( "parsererror" )[ 0 ];
+	if ( !xml || parserErrorElem ) {
+		jQuery.error( "Invalid XML: " + (
+			parserErrorElem ?
+				jQuery.map( parserErrorElem.childNodes, function( el ) {
+					return el.textContent;
+				} ).join( "\n" ) :
+				data
+		) );
 	}
 	return xml;
 };
@@ -8971,16 +8980,14 @@ jQuery.fn.extend( {
 			// Can add propHook for "elements" to filter or add form elements
 			var elements = jQuery.prop( this, "elements" );
 			return elements ? jQuery.makeArray( elements ) : this;
-		} )
-		.filter( function() {
+		} ).filter( function() {
 			var type = this.type;
 
 			// Use .is( ":disabled" ) so that fieldset[disabled] works
 			return this.name && !jQuery( this ).is( ":disabled" ) &&
 				rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
 				( this.checked || !rcheckableType.test( type ) );
-		} )
-		.map( function( _i, elem ) {
+		} ).map( function( _i, elem ) {
 			var val = jQuery( this ).val();
 
 			if ( val == null ) {
@@ -9033,7 +9040,8 @@ var
 
 	// Anchor tag for parsing the document origin
 	originAnchor = document.createElement( "a" );
-	originAnchor.href = location.href;
+
+originAnchor.href = location.href;
 
 // Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
 function addToPrefiltersOrTransports( structure ) {
@@ -9414,8 +9422,8 @@ jQuery.extend( {
 			// Context for global events is callbackContext if it is a DOM node or jQuery collection
 			globalEventContext = s.context &&
 				( callbackContext.nodeType || callbackContext.jquery ) ?
-					jQuery( callbackContext ) :
-					jQuery.event,
+				jQuery( callbackContext ) :
+				jQuery.event,
 
 			// Deferreds
 			deferred = jQuery.Deferred(),
@@ -9727,8 +9735,10 @@ jQuery.extend( {
 				response = ajaxHandleResponses( s, jqXHR, responses );
 			}
 
-			// Use a noop converter for missing script
-			if ( !isSuccess && jQuery.inArray( "script", s.dataTypes ) > -1 ) {
+			// Use a noop converter for missing script but not if jsonp
+			if ( !isSuccess &&
+				jQuery.inArray( "script", s.dataTypes ) > -1 &&
+				jQuery.inArray( "json", s.dataTypes ) < 0 ) {
 				s.converters[ "text script" ] = function() {};
 			}
 
@@ -10466,12 +10476,6 @@ jQuery.offset = {
 			options.using.call( elem, props );
 
 		} else {
-			if ( typeof props.top === "number" ) {
-				props.top += "px";
-			}
-			if ( typeof props.left === "number" ) {
-				props.left += "px";
-			}
 			curElem.css( props );
 		}
 	}
@@ -10640,8 +10644,11 @@ jQuery.each( [ "top", "left" ], function( _i, prop ) {
 
 // Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
 jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
-	jQuery.each( { padding: "inner" + name, content: type, "": "outer" + name },
-		function( defaultExtra, funcName ) {
+	jQuery.each( {
+		padding: "inner" + name,
+		content: type,
+		"": "outer" + name
+	}, function( defaultExtra, funcName ) {
 
 		// Margin is only for outerHeight, outerWidth
 		jQuery.fn[ funcName ] = function( margin, value ) {
@@ -10726,7 +10733,8 @@ jQuery.fn.extend( {
 	}
 } );
 
-jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " +
+jQuery.each(
+	( "blur focus focusin focusout resize scroll click dblclick " +
 	"mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
 	"change select submit keydown keypress keyup contextmenu" ).split( " " ),
 	function( _i, name ) {
@@ -10737,7 +10745,8 @@ jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " +
 				this.on( name, null, data, fn ) :
 				this.trigger( name );
 		};
-	} );
+	}
+);
 
 
 
diff --git a/_static/jquery.js b/_static/jquery.js
index b0614034..c4c6022f 100644
--- a/_static/jquery.js
+++ b/_static/jquery.js
@@ -1,2 +1,2 @@
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diff --git a/_static/language_data.js b/_static/language_data.js
index ebe2f03b..2e22b06a 100644
--- a/_static/language_data.js
+++ b/_static/language_data.js
@@ -10,7 +10,7 @@
  *
  */
 
-var stopwords = ["a","and","are","as","at","be","but","by","for","if","in","into","is","it","near","no","not","of","on","or","such","that","the","their","then","there","these","they","this","to","was","will","with"];
+var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"];
 
 
 /* Non-minified version is copied as a separate JS file, is available */
@@ -197,101 +197,3 @@ var Stemmer = function() {
   }
 }
 
-
-
-
-var splitChars = (function() {
-    var result = {};
-    var singles = [96, 180, 187, 191, 215, 247, 749, 885, 903, 907, 909, 930, 1014, 1648,
-         1748, 1809, 2416, 2473, 2481, 2526, 2601, 2609, 2612, 2615, 2653, 2702,
-         2706, 2729, 2737, 2740, 2857, 2865, 2868, 2910, 2928, 2948, 2961, 2971,
-         2973, 3085, 3089, 3113, 3124, 3213, 3217, 3241, 3252, 3295, 3341, 3345,
-         3369, 3506, 3516, 3633, 3715, 3721, 3736, 3744, 3748, 3750, 3756, 3761,
-         3781, 3912, 4239, 4347, 4681, 4695, 4697, 4745, 4785, 4799, 4801, 4823,
-         4881, 5760, 5901, 5997, 6313, 7405, 8024, 8026, 8028, 8030, 8117, 8125,
-         8133, 8181, 8468, 8485, 8487, 8489, 8494, 8527, 11311, 11359, 11687, 11695,
-         11703, 11711, 11719, 11727, 11735, 12448, 12539, 43010, 43014, 43019, 43587,
-         43696, 43713, 64286, 64297, 64311, 64317, 64319, 64322, 64325, 65141];
-    var i, j, start, end;
-    for (i = 0; i < singles.length; i++) {
-        result[singles[i]] = true;
-    }
-    var ranges = [[0, 47], [58, 64], [91, 94], [123, 169], [171, 177], [182, 184], [706, 709],
-         [722, 735], [741, 747], [751, 879], [888, 889], [894, 901], [1154, 1161],
-         [1318, 1328], [1367, 1368], [1370, 1376], [1416, 1487], [1515, 1519], [1523, 1568],
-         [1611, 1631], [1642, 1645], [1750, 1764], [1767, 1773], [1789, 1790], [1792, 1807],
-         [1840, 1868], [1958, 1968], [1970, 1983], [2027, 2035], [2038, 2041], [2043, 2047],
-         [2070, 2073], [2075, 2083], [2085, 2087], [2089, 2307], [2362, 2364], [2366, 2383],
-         [2385, 2391], [2402, 2405], [2419, 2424], [2432, 2436], [2445, 2446], [2449, 2450],
-         [2483, 2485], [2490, 2492], [2494, 2509], [2511, 2523], [2530, 2533], [2546, 2547],
-         [2554, 2564], [2571, 2574], [2577, 2578], [2618, 2648], [2655, 2661], [2672, 2673],
-         [2677, 2692], [2746, 2748], [2750, 2767], [2769, 2783], [2786, 2789], [2800, 2820],
-         [2829, 2830], [2833, 2834], [2874, 2876], [2878, 2907], [2914, 2917], [2930, 2946],
-         [2955, 2957], [2966, 2968], [2976, 2978], [2981, 2983], [2987, 2989], [3002, 3023],
-         [3025, 3045], [3059, 3076], [3130, 3132], [3134, 3159], [3162, 3167], [3170, 3173],
-         [3184, 3191], [3199, 3204], [3258, 3260], [3262, 3293], [3298, 3301], [3312, 3332],
-         [3386, 3388], [3390, 3423], [3426, 3429], [3446, 3449], [3456, 3460], [3479, 3481],
-         [3518, 3519], [3527, 3584], [3636, 3647], [3655, 3663], [3674, 3712], [3717, 3718],
-         [3723, 3724], [3726, 3731], [3752, 3753], [3764, 3772], [3774, 3775], [3783, 3791],
-         [3802, 3803], [3806, 3839], [3841, 3871], [3892, 3903], [3949, 3975], [3980, 4095],
-         [4139, 4158], [4170, 4175], [4182, 4185], [4190, 4192], [4194, 4196], [4199, 4205],
-         [4209, 4212], [4226, 4237], [4250, 4255], [4294, 4303], [4349, 4351], [4686, 4687],
-         [4702, 4703], [4750, 4751], [4790, 4791], [4806, 4807], [4886, 4887], [4955, 4968],
-         [4989, 4991], [5008, 5023], [5109, 5120], [5741, 5742], [5787, 5791], [5867, 5869],
-         [5873, 5887], [5906, 5919], [5938, 5951], [5970, 5983], [6001, 6015], [6068, 6102],
-         [6104, 6107], [6109, 6111], [6122, 6127], [6138, 6159], [6170, 6175], [6264, 6271],
-         [6315, 6319], [6390, 6399], [6429, 6469], [6510, 6511], [6517, 6527], [6572, 6592],
-         [6600, 6607], [6619, 6655], [6679, 6687], [6741, 6783], [6794, 6799], [6810, 6822],
-         [6824, 6916], [6964, 6980], [6988, 6991], [7002, 7042], [7073, 7085], [7098, 7167],
-         [7204, 7231], [7242, 7244], [7294, 7400], [7410, 7423], [7616, 7679], [7958, 7959],
-         [7966, 7967], [8006, 8007], [8014, 8015], [8062, 8063], [8127, 8129], [8141, 8143],
-         [8148, 8149], [8156, 8159], [8173, 8177], [8189, 8303], [8306, 8307], [8314, 8318],
-         [8330, 8335], [8341, 8449], [8451, 8454], [8456, 8457], [8470, 8472], [8478, 8483],
-         [8506, 8507], [8512, 8516], [8522, 8525], [8586, 9311], [9372, 9449], [9472, 10101],
-         [10132, 11263], [11493, 11498], [11503, 11516], [11518, 11519], [11558, 11567],
-         [11622, 11630], [11632, 11647], [11671, 11679], [11743, 11822], [11824, 12292],
-         [12296, 12320], [12330, 12336], [12342, 12343], [12349, 12352], [12439, 12444],
-         [12544, 12548], [12590, 12592], [12687, 12689], [12694, 12703], [12728, 12783],
-         [12800, 12831], [12842, 12880], [12896, 12927], [12938, 12976], [12992, 13311],
-         [19894, 19967], [40908, 40959], [42125, 42191], [42238, 42239], [42509, 42511],
-         [42540, 42559], [42592, 42593], [42607, 42622], [42648, 42655], [42736, 42774],
-         [42784, 42785], [42889, 42890], [42893, 43002], [43043, 43055], [43062, 43071],
-         [43124, 43137], [43188, 43215], [43226, 43249], [43256, 43258], [43260, 43263],
-         [43302, 43311], [43335, 43359], [43389, 43395], [43443, 43470], [43482, 43519],
-         [43561, 43583], [43596, 43599], [43610, 43615], [43639, 43641], [43643, 43647],
-         [43698, 43700], [43703, 43704], [43710, 43711], [43715, 43738], [43742, 43967],
-         [44003, 44015], [44026, 44031], [55204, 55215], [55239, 55242], [55292, 55295],
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diff --git a/_static/scripts/bootstrap.js b/_static/scripts/bootstrap.js
index 766173ab..4e209b0e 100644
--- a/_static/scripts/bootstrap.js
+++ b/_static/scripts/bootstrap.js
@@ -1,3 +1,3 @@
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isSupported(){return"ontouchstart"in document.documentElement||navigator.maxTouchPoints>0}}const He=".bs.carousel",We=".data-api",Fe="next",Be="prev",ze="left",qe="right",Re=`slide${He}`,Ve=`slid${He}`,Ke=`keydown${He}`,Qe=`mouseenter${He}`,Xe=`mouseleave${He}`,Ye=`dragstart${He}`,Ue=`load${He}${We}`,Ge=`click${He}${We}`,Je="carousel",Ze="active",ti=".active",ei=".carousel-item",ii=ti+ei,ni={ArrowLeft:qe,ArrowRight:ze},si={interval:5e3,keyboard:!0,pause:"hover",ride:!1,touch:!0,wrap:!0},oi={interval:"(number|boolean)",keyboard:"boolean",pause:"(string|boolean)",ride:"(boolean|string)",touch:"boolean",wrap:"boolean"};class ri extends ye{constructor(t,e){super(t,e),this._interval=null,this._activeElement=null,this._isSliding=!1,this.touchTimeout=null,this._swipeHelper=null,this._indicatorsElement=ke.findOne(".carousel-indicators",this._element),this._addEventListeners(),this._config.ride===Je&&this.cycle()}static get Default(){return si}static get DefaultType(){return oi}static get NAME(){return"carousel"}next(){this._slide(Fe)}nextWhenVisible(){!document.hidden&&Wt(this._element)&&this.next()}prev(){this._slide(Be)}pause(){this._isSliding&&jt(this._element),this._clearInterval()}cycle(){this._clearInterval(),this._updateInterval(),this._interval=setInterval((()=>this.nextWhenVisible()),this._config.interval)}_maybeEnableCycle(){this._config.ride&&(this._isSliding?de.one(this._element,Ve,(()=>this.cycle())):this.cycle())}to(t){const e=this._getItems();if(t>e.length-1||t<0)return;if(this._isSliding)return void de.one(this._element,Ve,(()=>this.to(t)));const i=this._getItemIndex(this._getActive());if(i===t)return;const n=t>i?Fe:Be;this._slide(n,e[t])}dispose(){this._swipeHelper&&this._swipeHelper.dispose(),super.dispose()}_configAfterMerge(t){return t.defaultInterval=t.interval,t}_addEventListeners(){this._config.keyboard&&de.on(this._element,Ke,(t=>this._keydown(t))),"hover"===this._config.pause&&(de.on(this._element,Qe,(()=>this.pause())),de.on(this._element,Xe,(()=>this._maybeEnableCycle()))),this._config.touch&&Me.isSupported()&&this._addTouchEventListeners()}_addTouchEventListeners(){for(const t of ke.find(".carousel-item img",this._element))de.on(t,Ye,(t=>t.preventDefault()));const t={leftCallback:()=>this._slide(this._directionToOrder(ze)),rightCallback:()=>this._slide(this._directionToOrder(qe)),endCallback:()=>{"hover"===this._config.pause&&(this.pause(),this.touchTimeout&&clearTimeout(this.touchTimeout),this.touchTimeout=setTimeout((()=>this._maybeEnableCycle()),500+this._config.interval))}};this._swipeHelper=new Me(this._element,t)}_keydown(t){if(/input|textarea/i.test(t.target.tagName))return;const e=ni[t.key];e&&(t.preventDefault(),this._slide(this._directionToOrder(e)))}_getItemIndex(t){return this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=ke.findOne(ti,this._indicatorsElement);e.classList.remove(Ze),e.removeAttribute("aria-current");const i=ke.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(Ze),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===Fe,s=e||Ut(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>de.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(Re).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),qt(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(Ze),i.classList.remove(Ze,c,l),this._isSliding=!1,r(Ve)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return ke.findOne(ii,this._element)}_getItems(){return ke.find(ei,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return Kt()?t===ze?Be:Fe:t===ze?Fe:Be}_orderToDirection(t){return Kt()?t===Be?ze:qe:t===Be?qe:ze}static jQueryInterface(t){return this.each((function(){const e=ri.getOrCreateInstance(this,t);if("number"!=typeof t){if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}else e.to(t)}))}}de.on(document,Ge,"[data-bs-slide], [data-bs-slide-to]",(function(t){const e=Pt(this);if(!e||!e.classList.contains(Je))return;t.preventDefault();const i=ri.getOrCreateInstance(e),n=this.getAttribute("data-bs-slide-to");return n?(i.to(n),void i._maybeEnableCycle()):"next"===be.getDataAttribute(this,"slide")?(i.next(),void i._maybeEnableCycle()):(i.prev(),void i._maybeEnableCycle())})),de.on(window,Ue,(()=>{const t=ke.find('[data-bs-ride="carousel"]');for(const e of t)ri.getOrCreateInstance(e)})),Qt(ri);const ai=".bs.collapse",li=`show${ai}`,ci=`shown${ai}`,hi=`hide${ai}`,ui=`hidden${ai}`,di=`click${ai}.data-api`,fi="show",pi="collapse",gi="collapsing",mi=`:scope .${pi} .${pi}`,_i='[data-bs-toggle="collapse"]',bi={parent:null,toggle:!0},vi={parent:"(null|element)",toggle:"boolean"};class yi extends ye{constructor(t,e){super(t,e),this._isTransitioning=!1,this._triggerArray=[];const i=ke.find(_i);for(const t of i){const e=Nt(t),i=ke.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return bi}static get DefaultType(){return vi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>yi.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(de.trigger(this._element,li).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(pi),this._element.classList.add(gi),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(gi),this._element.classList.add(pi,fi),this._element.style[e]="",de.trigger(this._element,ci)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(de.trigger(this._element,hi).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,qt(this._element),this._element.classList.add(gi),this._element.classList.remove(pi,fi);for(const t of this._triggerArray){const e=Pt(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(gi),this._element.classList.add(pi),de.trigger(this._element,ui)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(fi)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ht(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(_i);for(const e of t){const t=Pt(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=ke.find(mi,this._config.parent);return ke.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=yi.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}de.on(document,di,_i,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();const e=Nt(this),i=ke.find(e);for(const t of i)yi.getOrCreateInstance(t,{toggle:!1}).toggle()})),Qt(yi);const wi="dropdown",Ai=".bs.dropdown",Ei=".data-api",Ci="ArrowUp",Ti="ArrowDown",Oi=`hide${Ai}`,xi=`hidden${Ai}`,ki=`show${Ai}`,Li=`shown${Ai}`,Di=`click${Ai}${Ei}`,$i=`keydown${Ai}${Ei}`,Si=`keyup${Ai}${Ei}`,Ii="show",Ni='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Pi=`${Ni}.${Ii}`,ji=".dropdown-menu",Mi=Kt()?"top-end":"top-start",Hi=Kt()?"top-start":"top-end",Wi=Kt()?"bottom-end":"bottom-start",Fi=Kt()?"bottom-start":"bottom-end",Bi=Kt()?"left-start":"right-start",zi=Kt()?"right-start":"left-start",qi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Ri={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Vi extends ye{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=ke.next(this._element,ji)[0]||ke.prev(this._element,ji)[0]||ke.findOne(ji,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return qi}static get DefaultType(){return Ri}static get NAME(){return wi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Ft(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!de.trigger(this._element,ki,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))de.on(t,"mouseover",zt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Ii),this._element.classList.add(Ii),de.trigger(this._element,Li,t)}}hide(){if(Ft(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!de.trigger(this._element,Oi,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))de.off(t,"mouseover",zt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Ii),this._element.classList.remove(Ii),this._element.setAttribute("aria-expanded","false"),be.removeDataAttribute(this._menu,"popper"),de.trigger(this._element,xi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Mt(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${wi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Mt(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Ii)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Bi;if(t.classList.contains("dropstart"))return zi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Hi:Mi:e?Fi:Wi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(be.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=ke.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Wt(t)));i.length&&Ut(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Vi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=ke.find(Pi);for(const i of e){const e=Vi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ci,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ni)?this:ke.prev(this,Ni)[0]||ke.next(this,Ni)[0]||ke.findOne(Ni,t.delegateTarget.parentNode),o=Vi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}de.on(document,$i,Ni,Vi.dataApiKeydownHandler),de.on(document,$i,ji,Vi.dataApiKeydownHandler),de.on(document,Di,Vi.clearMenus),de.on(document,Si,Vi.clearMenus),de.on(document,Di,Ni,(function(t){t.preventDefault(),Vi.getOrCreateInstance(this).toggle()})),Qt(Vi);const Ki=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",Qi=".sticky-top",Xi="padding-right",Yi="margin-right";class Ui{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,Xi,(e=>e+t)),this._setElementAttributes(Ki,Xi,(e=>e+t)),this._setElementAttributes(Qi,Yi,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,Xi),this._resetElementAttributes(Ki,Xi),this._resetElementAttributes(Qi,Yi)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&be.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=be.getDataAttribute(t,e);null!==i?(be.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Mt(t))e(t);else for(const i of ke.find(t,this._element))e(i)}}const Gi="backdrop",Ji="show",Zi=`mousedown.bs.${Gi}`,tn={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},en={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class nn extends ve{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return tn}static get DefaultType(){return en}static get NAME(){return Gi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Ji),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ji),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(de.off(this._element,Zi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),de.on(t,Zi,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Yt(t,this._getElement(),this._config.isAnimated)}}const sn=".bs.focustrap",on=`focusin${sn}`,rn=`keydown.tab${sn}`,an="backward",ln={autofocus:!0,trapElement:null},cn={autofocus:"boolean",trapElement:"element"};class hn extends ve{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return ln}static get DefaultType(){return cn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),de.off(document,sn),de.on(document,on,(t=>this._handleFocusin(t))),de.on(document,rn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,de.off(document,sn))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=ke.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===an?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?an:"forward")}}const un=".bs.modal",dn=`hide${un}`,fn=`hidePrevented${un}`,pn=`hidden${un}`,gn=`show${un}`,mn=`shown${un}`,_n=`resize${un}`,bn=`click.dismiss${un}`,vn=`mousedown.dismiss${un}`,yn=`keydown.dismiss${un}`,wn=`click${un}.data-api`,An="modal-open",En="show",Cn="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},On={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class xn extends ye{constructor(t,e){super(t,e),this._dialog=ke.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new Ui,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return On}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||de.trigger(this._element,gn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(An),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(de.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(En),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){for(const t of[window,this._dialog])de.off(t,un);this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new nn({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new hn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=ke.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(En),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,de.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){de.on(this._element,yn,(t=>{if("Escape"===t.key)return this._config.keyboard?(t.preventDefault(),void this.hide()):void this._triggerBackdropTransition()})),de.on(window,_n,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),de.on(this._element,vn,(t=>{de.one(this._element,bn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(An),this._resetAdjustments(),this._scrollBar.reset(),de.trigger(this._element,pn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(de.trigger(this._element,fn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(Cn)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(Cn),this._queueCallback((()=>{this._element.classList.remove(Cn),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=xn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}de.on(document,wn,'[data-bs-toggle="modal"]',(function(t){const e=Pt(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),de.one(e,gn,(t=>{t.defaultPrevented||de.one(e,pn,(()=>{Wt(this)&&this.focus()}))}));const i=ke.findOne(".modal.show");i&&xn.getInstance(i).hide(),xn.getOrCreateInstance(e).toggle(this)})),we(xn),Qt(xn);const kn=".bs.offcanvas",Ln=".data-api",Dn=`load${kn}${Ln}`,$n="show",Sn="showing",In="hiding",Nn=".offcanvas.show",Pn=`show${kn}`,jn=`shown${kn}`,Mn=`hide${kn}`,Hn=`hidePrevented${kn}`,Wn=`hidden${kn}`,Fn=`resize${kn}`,Bn=`click${kn}${Ln}`,zn=`keydown.dismiss${kn}`,qn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Vn extends ye{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return qn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||de.trigger(this._element,Pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new Ui).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Sn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add($n),this._element.classList.remove(Sn),de.trigger(this._element,jn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(de.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(In),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove($n,In),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new Ui).reset(),de.trigger(this._element,Wn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new nn({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():de.trigger(this._element,Hn)}:null})}_initializeFocusTrap(){return new hn({trapElement:this._element})}_addEventListeners(){de.on(this._element,zn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():de.trigger(this._element,Hn))}))}static jQueryInterface(t){return this.each((function(){const e=Vn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}de.on(document,Bn,'[data-bs-toggle="offcanvas"]',(function(t){const e=Pt(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Ft(this))return;de.one(e,Wn,(()=>{Wt(this)&&this.focus()}));const i=ke.findOne(Nn);i&&i!==e&&Vn.getInstance(i).hide(),Vn.getOrCreateInstance(e).toggle(this)})),de.on(window,Dn,(()=>{for(const t of ke.find(Nn))Vn.getOrCreateInstance(t).show()})),de.on(window,Fn,(()=>{for(const t of ke.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Vn.getOrCreateInstance(t).hide()})),we(Vn),Qt(Vn);const Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Xn=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Yn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)||Xn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Un={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Gn={allowList:Un,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Jn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Zn={entry:"(string|element|function|null)",selector:"(string|element)"};class ts extends ve{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Gn}static get DefaultType(){return Jn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Zn)}_setContent(t,e,i){const n=ke.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Mt(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Yn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return"function"==typeof t?t(this):t}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const es=new Set(["sanitize","allowList","sanitizeFn"]),is="fade",ns="show",ss=".modal",os="hide.bs.modal",rs="hover",as="focus",ls={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},cs={allowList:Un,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,0],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},hs={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class us extends ye{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return cs}static get DefaultType(){return hs}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),de.off(this._element.closest(ss),os,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=de.trigger(this._element,this.constructor.eventName("show")),e=(Bt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),de.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(ns),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))de.on(t,"mouseover",zt);this._queueCallback((()=>{de.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!de.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(ns),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))de.off(t,"mouseover",zt);this._activeTrigger.click=!1,this._activeTrigger[as]=!1,this._activeTrigger[rs]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),de.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(is,ns),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(is),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new ts({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(is)}_isShown(){return this.tip&&this.tip.classList.contains(ns)}_createPopper(t){const e="function"==typeof this._config.placement?this._config.placement.call(this,t,this._element):this._config.placement,i=ls[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)de.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===rs?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===rs?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");de.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?as:rs]=!0,e._enter()})),de.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?as:rs]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},de.on(this._element.closest(ss),os,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=be.getDataAttributes(this._element);for(const t of Object.keys(e))es.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=us.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(us);const ds={...us.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},fs={...us.DefaultType,content:"(null|string|element|function)"};class ps extends us{static get Default(){return ds}static get DefaultType(){return fs}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=ps.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(ps);const gs=".bs.scrollspy",ms=`activate${gs}`,_s=`click${gs}`,bs=`load${gs}.data-api`,vs="active",ys="[href]",ws=".nav-link",As=`${ws}, .nav-item > ${ws}, .list-group-item`,Es={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},Cs={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class Ts extends ye{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return Es}static get DefaultType(){return Cs}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=Ht(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(de.off(this._config.target,_s),de.on(this._config.target,_s,ys,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=ke.find(ys,this._config.target);for(const e of t){if(!e.hash||Ft(e))continue;const t=ke.findOne(e.hash,this._element);Wt(t)&&(this._targetLinks.set(e.hash,e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(vs),this._activateParents(t),de.trigger(this._element,ms,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))ke.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(vs);else for(const e of ke.parents(t,".nav, .list-group"))for(const t of ke.prev(e,As))t.classList.add(vs)}_clearActiveClass(t){t.classList.remove(vs);const e=ke.find(`${ys}.${vs}`,t);for(const t of e)t.classList.remove(vs)}static jQueryInterface(t){return this.each((function(){const e=Ts.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}de.on(window,bs,(()=>{for(const t of ke.find('[data-bs-spy="scroll"]'))Ts.getOrCreateInstance(t)})),Qt(Ts);const Os=".bs.tab",xs=`hide${Os}`,ks=`hidden${Os}`,Ls=`show${Os}`,Ds=`shown${Os}`,$s=`click${Os}`,Ss=`keydown${Os}`,Is=`load${Os}`,Ns="ArrowLeft",Ps="ArrowRight",js="ArrowUp",Ms="ArrowDown",Hs="active",Ws="fade",Fs="show",Bs=":not(.dropdown-toggle)",zs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',qs=`.nav-link${Bs}, .list-group-item${Bs}, [role="tab"]${Bs}, ${zs}`,Rs=`.${Hs}[data-bs-toggle="tab"], .${Hs}[data-bs-toggle="pill"], .${Hs}[data-bs-toggle="list"]`;class Vs extends ye{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, 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e=this._getActiveElem(),i=e?de.trigger(e,xs,{relatedTarget:t}):null;de.trigger(t,Ls,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(Hs),this._activate(Pt(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),de.trigger(t,Ds,{relatedTarget:e})):t.classList.add(Fs)}),t,t.classList.contains(Ws)))}_deactivate(t,e){t&&(t.classList.remove(Hs),t.blur(),this._deactivate(Pt(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),de.trigger(t,ks,{relatedTarget:e})):t.classList.remove(Fs)}),t,t.classList.contains(Ws)))}_keydown(t){if(![Ns,Ps,js,Ms].includes(t.key))return;t.stopPropagation(),t.preventDefault();const 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e},we={find:(t,e=document.documentElement)=>[].concat(...Element.prototype.querySelectorAll.call(e,t)),findOne:(t,e=document.documentElement)=>Element.prototype.querySelector.call(e,t),children:(t,e)=>[].concat(...t.children).filter((t=>t.matches(e))),parents(t,e){const i=[];let n=t.parentNode.closest(e);for(;n;)i.push(n),n=n.parentNode.closest(e);return i},prev(t,e){let i=t.previousElementSibling;for(;i;){if(i.matches(e))return[i];i=i.previousElementSibling}return[]},next(t,e){let i=t.nextElementSibling;for(;i;){if(i.matches(e))return[i];i=i.nextElementSibling}return[]},focusableChildren(t){const e=["a","button","input","textarea","select","details","[tabindex]",'[contenteditable="true"]'].map((t=>`${t}:not([tabindex^="-"])`)).join(",");return this.find(e,t).filter((t=>!Wt(t)&&Bt(t)))},getSelectorFromElement(t){const e=ye(t);return e&&we.findOne(e)?e:null},getElementFromSelector(t){const e=ye(t);return e?we.findOne(e):null},getMultipleElementsFromSelector(t){const e=ye(t);return e?we.find(e):[]}},Ee=(t,e="hide")=>{const i=`click.dismiss${t.EVENT_KEY}`,n=t.NAME;fe.on(document,i,`[data-bs-dismiss="${n}"]`,(function(i){if(["A","AREA"].includes(this.tagName)&&i.preventDefault(),Wt(this))return;const s=we.getElementFromSelector(this)||this.closest(`.${n}`);t.getOrCreateInstance(s)[e]()}))},Ae=".bs.alert",Te=`close${Ae}`,Ce=`closed${Ae}`;class Oe extends ve{static get NAME(){return"alert"}close(){if(fe.trigger(this._element,Te).defaultPrevented)return;this._element.classList.remove("show");const t=this._element.classList.contains("fade");this._queueCallback((()=>this._destroyElement()),this._element,t)}_destroyElement(){this._element.remove(),fe.trigger(this._element,Ce),this.dispose()}static jQueryInterface(t){return this.each((function(){const e=Oe.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}Ee(Oe,"close"),Qt(Oe);const xe='[data-bs-toggle="button"]';class ke extends ve{static get NAME(){return"button"}toggle(){this._element.setAttribute("aria-pressed",this._element.classList.toggle("active"))}static jQueryInterface(t){return this.each((function(){const e=ke.getOrCreateInstance(this);"toggle"===t&&e[t]()}))}}fe.on(document,"click.bs.button.data-api",xe,(t=>{t.preventDefault();const e=t.target.closest(xe);ke.getOrCreateInstance(e).toggle()})),Qt(ke);const Le=".bs.swipe",Se=`touchstart${Le}`,De=`touchmove${Le}`,$e=`touchend${Le}`,Ie=`pointerdown${Le}`,Ne=`pointerup${Le}`,Pe={endCallback:null,leftCallback:null,rightCallback:null},Me={endCallback:"(function|null)",leftCallback:"(function|null)",rightCallback:"(function|null)"};class je extends be{constructor(t,e){super(),this._element=t,t&&je.isSupported()&&(this._config=this._getConfig(e),this._deltaX=0,this._supportPointerEvents=Boolean(window.PointerEvent),this._initEvents())}static get Default(){return Pe}static get DefaultType(){return Me}static get NAME(){return"swipe"}dispose(){fe.off(this._element,Le)}_start(t){this._supportPointerEvents?this._eventIsPointerPenTouch(t)&&(this._deltaX=t.clientX):this._deltaX=t.touches[0].clientX}_end(t){this._eventIsPointerPenTouch(t)&&(this._deltaX=t.clientX-this._deltaX),this._handleSwipe(),Xt(this._config.endCallback)}_move(t){this._deltaX=t.touches&&t.touches.length>1?0:t.touches[0].clientX-this._deltaX}_handleSwipe(){const t=Math.abs(this._deltaX);if(t<=40)return;const e=t/this._deltaX;this._deltaX=0,e&&Xt(e>0?this._config.rightCallback:this._config.leftCallback)}_initEvents(){this._supportPointerEvents?(fe.on(this._element,Ie,(t=>this._start(t))),fe.on(this._element,Ne,(t=>this._end(t))),this._element.classList.add("pointer-event")):(fe.on(this._element,Se,(t=>this._start(t))),fe.on(this._element,De,(t=>this._move(t))),fe.on(this._element,$e,(t=>this._end(t))))}_eventIsPointerPenTouch(t){return this._supportPointerEvents&&("pen"===t.pointerType||"touch"===t.pointerType)}static isSupported(){return"ontouchstart"in document.documentElement||navigator.maxTouchPoints>0}}const Fe=".bs.carousel",He=".data-api",Be="next",We="prev",ze="left",Re="right",qe=`slide${Fe}`,Ve=`slid${Fe}`,Ye=`keydown${Fe}`,Ke=`mouseenter${Fe}`,Qe=`mouseleave${Fe}`,Xe=`dragstart${Fe}`,Ue=`load${Fe}${He}`,Ge=`click${Fe}${He}`,Je="carousel",Ze="active",ti=".active",ei=".carousel-item",ii=ti+ei,ni={ArrowLeft:Re,ArrowRight:ze},si={interval:5e3,keyboard:!0,pause:"hover",ride:!1,touch:!0,wrap:!0},oi={interval:"(number|boolean)",keyboard:"boolean",pause:"(string|boolean)",ride:"(boolean|string)",touch:"boolean",wrap:"boolean"};class ri extends ve{constructor(t,e){super(t,e),this._interval=null,this._activeElement=null,this._isSliding=!1,this.touchTimeout=null,this._swipeHelper=null,this._indicatorsElement=we.findOne(".carousel-indicators",this._element),this._addEventListeners(),this._config.ride===Je&&this.cycle()}static get Default(){return si}static get DefaultType(){return oi}static get NAME(){return"carousel"}next(){this._slide(Be)}nextWhenVisible(){!document.hidden&&Bt(this._element)&&this.next()}prev(){this._slide(We)}pause(){this._isSliding&&jt(this._element),this._clearInterval()}cycle(){this._clearInterval(),this._updateInterval(),this._interval=setInterval((()=>this.nextWhenVisible()),this._config.interval)}_maybeEnableCycle(){this._config.ride&&(this._isSliding?fe.one(this._element,Ve,(()=>this.cycle())):this.cycle())}to(t){const e=this._getItems();if(t>e.length-1||t<0)return;if(this._isSliding)return void fe.one(this._element,Ve,(()=>this.to(t)));const i=this._getItemIndex(this._getActive());if(i===t)return;const n=t>i?Be:We;this._slide(n,e[t])}dispose(){this._swipeHelper&&this._swipeHelper.dispose(),super.dispose()}_configAfterMerge(t){return t.defaultInterval=t.interval,t}_addEventListeners(){this._config.keyboard&&fe.on(this._element,Ye,(t=>this._keydown(t))),"hover"===this._config.pause&&(fe.on(this._element,Ke,(()=>this.pause())),fe.on(this._element,Qe,(()=>this._maybeEnableCycle()))),this._config.touch&&je.isSupported()&&this._addTouchEventListeners()}_addTouchEventListeners(){for(const t of we.find(".carousel-item img",this._element))fe.on(t,Xe,(t=>t.preventDefault()));const t={leftCallback:()=>this._slide(this._directionToOrder(ze)),rightCallback:()=>this._slide(this._directionToOrder(Re)),endCallback:()=>{"hover"===this._config.pause&&(this.pause(),this.touchTimeout&&clearTimeout(this.touchTimeout),this.touchTimeout=setTimeout((()=>this._maybeEnableCycle()),500+this._config.interval))}};this._swipeHelper=new je(this._element,t)}_keydown(t){if(/input|textarea/i.test(t.target.tagName))return;const e=ni[t.key];e&&(t.preventDefault(),this._slide(this._directionToOrder(e)))}_getItemIndex(t){return this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=we.findOne(ti,this._indicatorsElement);e.classList.remove(Ze),e.removeAttribute("aria-current");const i=we.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(Ze),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===Be,s=e||Gt(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>fe.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(qe).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),qt(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(Ze),i.classList.remove(Ze,c,l),this._isSliding=!1,r(Ve)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return we.findOne(ii,this._element)}_getItems(){return we.find(ei,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return Kt()?t===ze?We:Be:t===ze?Be:We}_orderToDirection(t){return Kt()?t===We?ze:Re:t===We?Re:ze}static jQueryInterface(t){return this.each((function(){const e=ri.getOrCreateInstance(this,t);if("number"!=typeof t){if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}else e.to(t)}))}}fe.on(document,Ge,"[data-bs-slide], [data-bs-slide-to]",(function(t){const e=we.getElementFromSelector(this);if(!e||!e.classList.contains(Je))return;t.preventDefault();const i=ri.getOrCreateInstance(e),n=this.getAttribute("data-bs-slide-to");return n?(i.to(n),void i._maybeEnableCycle()):"next"===_e.getDataAttribute(this,"slide")?(i.next(),void i._maybeEnableCycle()):(i.prev(),void i._maybeEnableCycle())})),fe.on(window,Ue,(()=>{const t=we.find('[data-bs-ride="carousel"]');for(const e of t)ri.getOrCreateInstance(e)})),Qt(ri);const ai=".bs.collapse",li=`show${ai}`,ci=`shown${ai}`,hi=`hide${ai}`,di=`hidden${ai}`,ui=`click${ai}.data-api`,fi="show",pi="collapse",mi="collapsing",gi=`:scope .${pi} .${pi}`,_i='[data-bs-toggle="collapse"]',bi={parent:null,toggle:!0},vi={parent:"(null|element)",toggle:"boolean"};class yi extends ve{constructor(t,e){super(t,e),this._isTransitioning=!1,this._triggerArray=[];const i=we.find(_i);for(const t of i){const e=we.getSelectorFromElement(t),i=we.find(e).filter((t=>t===this._element));null!==e&&i.length&&this._triggerArray.push(t)}this._initializeChildren(),this._config.parent||this._addAriaAndCollapsedClass(this._triggerArray,this._isShown()),this._config.toggle&&this.toggle()}static get Default(){return bi}static get DefaultType(){return vi}static get NAME(){return"collapse"}toggle(){this._isShown()?this.hide():this.show()}show(){if(this._isTransitioning||this._isShown())return;let t=[];if(this._config.parent&&(t=this._getFirstLevelChildren(".collapse.show, .collapse.collapsing").filter((t=>t!==this._element)).map((t=>yi.getOrCreateInstance(t,{toggle:!1})))),t.length&&t[0]._isTransitioning)return;if(fe.trigger(this._element,li).defaultPrevented)return;for(const e of t)e.hide();const e=this._getDimension();this._element.classList.remove(pi),this._element.classList.add(mi),this._element.style[e]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(mi),this._element.classList.add(pi,fi),this._element.style[e]="",fe.trigger(this._element,ci)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(fe.trigger(this._element,hi).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,qt(this._element),this._element.classList.add(mi),this._element.classList.remove(pi,fi);for(const t of this._triggerArray){const e=we.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(mi),this._element.classList.add(pi),fe.trigger(this._element,di)}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(fi)}_configAfterMerge(t){return t.toggle=Boolean(t.toggle),t.parent=Ht(t.parent),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=this._getFirstLevelChildren(_i);for(const e of t){const t=we.getElementFromSelector(e);t&&this._addAriaAndCollapsedClass([e],this._isShown(t))}}_getFirstLevelChildren(t){const e=we.find(gi,this._config.parent);return we.find(t,this._config.parent).filter((t=>!e.includes(t)))}_addAriaAndCollapsedClass(t,e){if(t.length)for(const i of t)i.classList.toggle("collapsed",!e),i.setAttribute("aria-expanded",e)}static jQueryInterface(t){const e={};return"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1),this.each((function(){const i=yi.getOrCreateInstance(this,e);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t]()}}))}}fe.on(document,ui,_i,(function(t){("A"===t.target.tagName||t.delegateTarget&&"A"===t.delegateTarget.tagName)&&t.preventDefault();for(const t of we.getMultipleElementsFromSelector(this))yi.getOrCreateInstance(t,{toggle:!1}).toggle()})),Qt(yi);const wi="dropdown",Ei=".bs.dropdown",Ai=".data-api",Ti="ArrowUp",Ci="ArrowDown",Oi=`hide${Ei}`,xi=`hidden${Ei}`,ki=`show${Ei}`,Li=`shown${Ei}`,Si=`click${Ei}${Ai}`,Di=`keydown${Ei}${Ai}`,$i=`keyup${Ei}${Ai}`,Ii="show",Ni='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Pi=`${Ni}.${Ii}`,Mi=".dropdown-menu",ji=Kt()?"top-end":"top-start",Fi=Kt()?"top-start":"top-end",Hi=Kt()?"bottom-end":"bottom-start",Bi=Kt()?"bottom-start":"bottom-end",Wi=Kt()?"left-start":"right-start",zi=Kt()?"right-start":"left-start",Ri={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},qi={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class Vi extends ve{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=we.next(this._element,Mi)[0]||we.prev(this._element,Mi)[0]||we.findOne(Mi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return Ri}static get DefaultType(){return qi}static get NAME(){return wi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(Wt(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!fe.trigger(this._element,ki,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Ii),this._element.classList.add(Ii),fe.trigger(this._element,Li,t)}}hide(){if(Wt(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!fe.trigger(this._element,Oi,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._popper&&this._popper.destroy(),this._menu.classList.remove(Ii),this._element.classList.remove(Ii),this._element.setAttribute("aria-expanded","false"),_e.removeDataAttribute(this._menu,"popper"),fe.trigger(this._element,xi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!Ft(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${wi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===e)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:Ft(this._config.reference)?t=Ht(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const i=this._getPopperConfig();this._popper=Dt(t,this._menu,i)}_isShown(){return this._menu.classList.contains(Ii)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return Wi;if(t.classList.contains("dropstart"))return zi;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?Fi:ji:e?Bi:Hi}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(_e.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...Xt(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=we.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>Bt(t)));i.length&&Gt(i,e,t===Ci,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=Vi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=we.find(Pi);for(const i of e){const e=Vi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ti,Ci].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ni)?this:we.prev(this,Ni)[0]||we.next(this,Ni)[0]||we.findOne(Ni,t.delegateTarget.parentNode),o=Vi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}fe.on(document,Di,Ni,Vi.dataApiKeydownHandler),fe.on(document,Di,Mi,Vi.dataApiKeydownHandler),fe.on(document,Si,Vi.clearMenus),fe.on(document,$i,Vi.clearMenus),fe.on(document,Si,Ni,(function(t){t.preventDefault(),Vi.getOrCreateInstance(this).toggle()})),Qt(Vi);const Yi="backdrop",Ki="show",Qi=`mousedown.bs.${Yi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Ui={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Gi extends be{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Ui}static get NAME(){return Yi}show(t){if(!this._config.isVisible)return void Xt(t);this._append();const e=this._getElement();this._config.isAnimated&&qt(e),e.classList.add(Ki),this._emulateAnimation((()=>{Xt(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),Xt(t)}))):Xt(t)}dispose(){this._isAppended&&(fe.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=Ht(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),fe.on(t,Qi,(()=>{Xt(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){Ut(t,this._getElement(),this._config.isAnimated)}}const Ji=".bs.focustrap",Zi=`focusin${Ji}`,tn=`keydown.tab${Ji}`,en="backward",nn={autofocus:!0,trapElement:null},sn={autofocus:"boolean",trapElement:"element"};class on extends be{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return nn}static get DefaultType(){return sn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),fe.off(document,Ji),fe.on(document,Zi,(t=>this._handleFocusin(t))),fe.on(document,tn,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,fe.off(document,Ji))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=we.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===en?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?en:"forward")}}const rn=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",an=".sticky-top",ln="padding-right",cn="margin-right";class hn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,ln,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e+t)),this._setElementAttributes(an,cn,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,ln),this._resetElementAttributes(rn,ln),this._resetElementAttributes(an,cn)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&_e.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=_e.getDataAttribute(t,e);null!==i?(_e.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(Ft(t))e(t);else for(const i of we.find(t,this._element))e(i)}}const dn=".bs.modal",un=`hide${dn}`,fn=`hidePrevented${dn}`,pn=`hidden${dn}`,mn=`show${dn}`,gn=`shown${dn}`,_n=`resize${dn}`,bn=`click.dismiss${dn}`,vn=`mousedown.dismiss${dn}`,yn=`keydown.dismiss${dn}`,wn=`click${dn}.data-api`,En="modal-open",An="show",Tn="modal-static",Cn={backdrop:!0,focus:!0,keyboard:!0},On={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class xn extends ve{constructor(t,e){super(t,e),this._dialog=we.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new hn,this._addEventListeners()}static get Default(){return Cn}static get DefaultType(){return On}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||fe.trigger(this._element,mn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(En),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(fe.trigger(this._element,un).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){fe.off(window,dn),fe.off(this._dialog,dn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Gi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new on({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=we.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),qt(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,fe.trigger(this._element,gn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){fe.on(this._element,yn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),fe.on(window,_n,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),fe.on(this._element,vn,(t=>{fe.one(this._element,bn,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(En),this._resetAdjustments(),this._scrollBar.reset(),fe.trigger(this._element,pn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(fe.trigger(this._element,fn).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(Tn)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(Tn),this._queueCallback((()=>{this._element.classList.remove(Tn),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=Kt()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=Kt()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=xn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}fe.on(document,wn,'[data-bs-toggle="modal"]',(function(t){const e=we.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),fe.one(e,mn,(t=>{t.defaultPrevented||fe.one(e,pn,(()=>{Bt(this)&&this.focus()}))}));const i=we.findOne(".modal.show");i&&xn.getInstance(i).hide(),xn.getOrCreateInstance(e).toggle(this)})),Ee(xn),Qt(xn);const kn=".bs.offcanvas",Ln=".data-api",Sn=`load${kn}${Ln}`,Dn="show",$n="showing",In="hiding",Nn=".offcanvas.show",Pn=`show${kn}`,Mn=`shown${kn}`,jn=`hide${kn}`,Fn=`hidePrevented${kn}`,Hn=`hidden${kn}`,Bn=`resize${kn}`,Wn=`click${kn}${Ln}`,zn=`keydown.dismiss${kn}`,Rn={backdrop:!0,keyboard:!0,scroll:!1},qn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class Vn extends ve{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Rn}static get DefaultType(){return qn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||fe.trigger(this._element,Pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new hn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($n),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Dn),this._element.classList.remove($n),fe.trigger(this._element,Mn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(fe.trigger(this._element,jn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(In),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Dn,In),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new hn).reset(),fe.trigger(this._element,Hn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Gi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():fe.trigger(this._element,Fn)}:null})}_initializeFocusTrap(){return new on({trapElement:this._element})}_addEventListeners(){fe.on(this._element,zn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():fe.trigger(this._element,Fn))}))}static jQueryInterface(t){return this.each((function(){const e=Vn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}fe.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=we.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),Wt(this))return;fe.one(e,Hn,(()=>{Bt(this)&&this.focus()}));const i=we.findOne(Nn);i&&i!==e&&Vn.getInstance(i).hide(),Vn.getOrCreateInstance(e).toggle(this)})),fe.on(window,Sn,(()=>{for(const t of we.find(Nn))Vn.getOrCreateInstance(t).show()})),fe.on(window,Bn,(()=>{for(const t of we.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&Vn.getOrCreateInstance(t).hide()})),Ee(Vn),Qt(Vn);const Yn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Un={allowList:Yn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Gn={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Jn={entry:"(string|element|function|null)",selector:"(string|element)"};class Zn extends be{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Un}static get DefaultType(){return Gn}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Jn)}_setContent(t,e,i){const n=we.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?Ft(e)?this._putElementInTemplate(Ht(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return Xt(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const ts=new Set(["sanitize","allowList","sanitizeFn"]),es="fade",is="show",ns=".modal",ss="hide.bs.modal",os="hover",rs="focus",as={AUTO:"auto",TOP:"top",RIGHT:Kt()?"left":"right",BOTTOM:"bottom",LEFT:Kt()?"right":"left"},ls={allowList:Yn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},cs={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class hs extends ve{constructor(t,i){if(void 0===e)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,i),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return ls}static get DefaultType(){return cs}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),fe.off(this._element.closest(ns),ss,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=fe.trigger(this._element,this.constructor.eventName("show")),e=(zt(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),fe.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(is),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.on(t,"mouseover",Rt);this._queueCallback((()=>{fe.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!fe.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(is),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))fe.off(t,"mouseover",Rt);this._activeTrigger.click=!1,this._activeTrigger[rs]=!1,this._activeTrigger[os]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),fe.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(es,is),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(es),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Zn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(es)}_isShown(){return this.tip&&this.tip.classList.contains(is)}_createPopper(t){const e=Xt(this._config.placement,[this,t,this._element]),i=as[e.toUpperCase()];return Dt(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return Xt(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...Xt(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)fe.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===os?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===os?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");fe.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?rs:os]=!0,e._enter()})),fe.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?rs:os]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},fe.on(this._element.closest(ns),ss,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=_e.getDataAttributes(this._element);for(const t of Object.keys(e))ts.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:Ht(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=hs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(hs);const ds={...hs.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},us={...hs.DefaultType,content:"(null|string|element|function)"};class fs extends hs{static get Default(){return ds}static get DefaultType(){return us}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=fs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}Qt(fs);const ps=".bs.scrollspy",ms=`activate${ps}`,gs=`click${ps}`,_s=`load${ps}.data-api`,bs="active",vs="[href]",ys=".nav-link",ws=`${ys}, .nav-item > ${ys}, .list-group-item`,Es={offset:null,rootMargin:"0px 0px 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 //# sourceMappingURL=bootstrap.js.map
\ No newline at end of file
diff --git a/_static/scripts/bootstrap.js.LICENSE.txt b/_static/scripts/bootstrap.js.LICENSE.txt
index 91ad10aa..10f979d0 100644
--- a/_static/scripts/bootstrap.js.LICENSE.txt
+++ b/_static/scripts/bootstrap.js.LICENSE.txt
@@ -1,5 +1,5 @@
 /*!
-  * Bootstrap v5.2.3 (https://getbootstrap.com/)
-  * Copyright 2011-2022 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
+  * Bootstrap v5.3.2 (https://getbootstrap.com/)
+  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
   * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
   */
diff --git a/_static/scripts/bootstrap.js.map b/_static/scripts/bootstrap.js.map
index d83e2f7c..64e212b1 100644
--- a/_static/scripts/bootstrap.js.map
+++ b/_static/scripts/bootstrap.js.map
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= 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n  return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n  return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n  return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (process.env.NODE_ENV !== \"production\") {\n    if (!isHTMLElement(arrowElement)) {\n      console.error(['Popper: \"arrow\" element must be an HTMLElement (not an SVGElement).', 'To use an SVG arrow, wrap it in an HTMLElement that will be used as', 'the arrow.'].join(' '));\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    if (process.env.NODE_ENV !== \"production\") {\n      console.error(['Popper: \"arrow\" modifier\\'s `element` must be a child of the popper', 'element.'].join(' '));\n    }\n\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n\n  if (process.env.NODE_ENV !== \"production\") {\n    var transitionProperty = getComputedStyle(state.elements.popper).transitionProperty || '';\n\n    if (adaptive && ['transform', 'top', 'right', 'bottom', 'left'].some(function (property) {\n      return transitionProperty.indexOf(property) >= 0;\n    })) {\n      console.warn(['Popper: Detected CSS transitions on at least one of the following', 'CSS properties: \"transform\", \"top\", \"right\", \"bottom\", \"left\".', '\\n\\n', 'Disable the \"computeStyles\" modifier\\'s `adaptive` option to allow', 'for smooth transitions, or remove these properties from the CSS', 'transition declaration on the popper element if only transitioning', 'opacity or background-color for example.', '\\n\\n', 'We recommend using the popper element as a wrapper around an inner', 'element that can have any CSS property transitioned for animations.'].join(' '));\n    }\n  }\n\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n\n    if (process.env.NODE_ENV !== \"production\") {\n      console.error(['Popper: The `allowedAutoPlacements` option did not allow any', 'placements. Ensure the `placement` option matches the variation', 'of the allowed placements.', 'For example, \"auto\" cannot be used to allow \"bottom-start\".', 'Use \"auto-start\" instead.'].join(' '));\n    }\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport getComputedStyle from \"./dom-utils/getComputedStyle.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport validateModifiers from \"./utils/validateModifiers.js\";\nimport uniqueBy from \"./utils/uniqueBy.js\";\nimport getBasePlacement from \"./utils/getBasePlacement.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nimport { auto } from \"./enums.js\";\nvar INVALID_ELEMENT_ERROR = 'Popper: Invalid reference or popper argument provided. They must be either a DOM element or virtual element.';\nvar INFINITE_LOOP_ERROR = 'Popper: An infinite loop in the modifiers cycle has been detected! The cycle has been interrupted to prevent a browser crash.';\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        }); // Validate the provided modifiers so that the consumer will get warned\n        // if one of the modifiers is invalid for any reason\n\n        if (process.env.NODE_ENV !== \"production\") {\n          var modifiers = uniqueBy([].concat(orderedModifiers, state.options.modifiers), function (_ref) {\n            var name = _ref.name;\n            return name;\n          });\n          validateModifiers(modifiers);\n\n          if (getBasePlacement(state.options.placement) === auto) {\n            var flipModifier = state.orderedModifiers.find(function (_ref2) {\n              var name = _ref2.name;\n              return name === 'flip';\n            });\n\n            if (!flipModifier) {\n              console.error(['Popper: \"auto\" placements require the \"flip\" modifier be', 'present and enabled to work.'].join(' '));\n            }\n          }\n\n          var _getComputedStyle = getComputedStyle(popper),\n              marginTop = _getComputedStyle.marginTop,\n              marginRight = _getComputedStyle.marginRight,\n              marginBottom = _getComputedStyle.marginBottom,\n              marginLeft = _getComputedStyle.marginLeft; // We no longer take into account `margins` on the popper, and it can\n          // cause bugs with positioning, so we'll warn the consumer\n\n\n          if ([marginTop, marginRight, marginBottom, marginLeft].some(function (margin) {\n            return parseFloat(margin);\n          })) {\n            console.warn(['Popper: CSS \"margin\" styles cannot be used to apply padding', 'between the popper and its reference element or boundary.', 'To replicate margin, use the `offset` modifier, as well as', 'the `padding` option in the `preventOverflow` and `flip`', 'modifiers.'].join(' '));\n          }\n        }\n\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          if (process.env.NODE_ENV !== \"production\") {\n            console.error(INVALID_ELEMENT_ERROR);\n          }\n\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n        var __debug_loops__ = 0;\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (process.env.NODE_ENV !== \"production\") {\n            __debug_loops__ += 1;\n\n            if (__debug_loops__ > 100) {\n              console.error(INFINITE_LOOP_ERROR);\n              break;\n            }\n          }\n\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      if (process.env.NODE_ENV !== \"production\") {\n        console.error(INVALID_ELEMENT_ERROR);\n      }\n\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref3) {\n        var name = _ref3.name,\n            _ref3$options = _ref3.options,\n            options = _ref3$options === void 0 ? {} : _ref3$options,\n            effect = _ref3.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n  * Bootstrap v5.2.3 (https://getbootstrap.com/)\n  * Copyright 2011-2022 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n  */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend'; // Shout-out Angus Croll (https://goo.gl/pxwQGp)\n\nconst toType = object => {\n  if (object === null || object === undefined) {\n    return `${object}`;\n  }\n\n  return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n/**\n * Public Util API\n */\n\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID);\n  } while (document.getElementById(prefix));\n\n  return prefix;\n};\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target');\n\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href'); // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n\n    if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n      return null;\n    } // Just in case some CMS puts out a full URL with the anchor appended\n\n\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n    }\n\n    selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null;\n  }\n\n  return selector;\n};\n\nconst getSelectorFromElement = element => {\n  const selector = getSelector(element);\n\n  if (selector) {\n    return document.querySelector(selector) ? selector : null;\n  }\n\n  return null;\n};\n\nconst getElementFromSelector = element => {\n  const selector = getSelector(element);\n  return selector ? document.querySelector(selector) : null;\n};\n\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0;\n  } // Get transition-duration of the element\n\n\n  let {\n    transitionDuration,\n    transitionDelay\n  } = window.getComputedStyle(element);\n  const floatTransitionDuration = Number.parseFloat(transitionDuration);\n  const floatTransitionDelay = Number.parseFloat(transitionDelay); // Return 0 if element or transition duration is not found\n\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0;\n  } // If multiple durations are defined, take the first\n\n\n  transitionDuration = transitionDuration.split(',')[0];\n  transitionDelay = transitionDelay.split(',')[0];\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\n\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END));\n};\n\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false;\n  }\n\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0];\n  }\n\n  return typeof object.nodeType !== 'undefined';\n};\n\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object;\n  }\n\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(object);\n  }\n\n  return null;\n};\n\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false;\n  }\n\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'; // Handle `details` element as its content may falsie appear visible when it is closed\n\n  const closedDetails = element.closest('details:not([open])');\n\n  if (!closedDetails) {\n    return elementIsVisible;\n  }\n\n  if (closedDetails !== element) {\n    const summary = element.closest('summary');\n\n    if (summary && summary.parentNode !== closedDetails) {\n      return false;\n    }\n\n    if (summary === null) {\n      return false;\n    }\n  }\n\n  return elementIsVisible;\n};\n\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true;\n  }\n\n  if (element.classList.contains('disabled')) {\n    return true;\n  }\n\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled;\n  }\n\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\n\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null;\n  } // Can find the shadow root otherwise it'll return the document\n\n\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode();\n    return root instanceof ShadowRoot ? root : null;\n  }\n\n  if (element instanceof ShadowRoot) {\n    return element;\n  } // when we don't find a shadow root\n\n\n  if (!element.parentNode) {\n    return null;\n  }\n\n  return findShadowRoot(element.parentNode);\n};\n\nconst noop = () => {};\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\n\n\nconst reflow = element => {\n  element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery;\n  }\n\n  return null;\n};\n\nconst DOMContentLoadedCallbacks = [];\n\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback();\n        }\n      });\n    }\n\n    DOMContentLoadedCallbacks.push(callback);\n  } else {\n    callback();\n  }\n};\n\nconst isRTL = () => document.documentElement.dir === 'rtl';\n\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery();\n    /* istanbul ignore if */\n\n    if ($) {\n      const name = plugin.NAME;\n      const JQUERY_NO_CONFLICT = $.fn[name];\n      $.fn[name] = plugin.jQueryInterface;\n      $.fn[name].Constructor = plugin;\n\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT;\n        return plugin.jQueryInterface;\n      };\n    }\n  });\n};\n\nconst execute = callback => {\n  if (typeof callback === 'function') {\n    callback();\n  }\n};\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback);\n    return;\n  }\n\n  const durationPadding = 5;\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n  let called = false;\n\n  const handler = ({\n    target\n  }) => {\n    if (target !== transitionElement) {\n      return;\n    }\n\n    called = true;\n    transitionElement.removeEventListener(TRANSITION_END, handler);\n    execute(callback);\n  };\n\n  transitionElement.addEventListener(TRANSITION_END, handler);\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement);\n    }\n  }, emulatedDuration);\n};\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\n\n\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length;\n  let index = list.indexOf(activeElement); // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n  }\n\n  index += shouldGetNext ? 1 : -1;\n\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength;\n  }\n\n  return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\n\nlet uidEvent = 1;\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\n\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element);\n  element.uidEvent = uid;\n  eventRegistry[uid] = eventRegistry[uid] || {};\n  return eventRegistry[uid];\n}\n\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, {\n      delegateTarget: element\n    });\n\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn);\n    }\n\n    return fn.apply(element, [event]);\n  };\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector);\n\n    for (let {\n      target\n    } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue;\n        }\n\n        hydrateObj(event, {\n          delegateTarget: target\n        });\n\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn);\n        }\n\n        return fn.apply(target, [event]);\n      }\n    }\n  };\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string'; // todo: tooltip passes `false` instead of selector, so we need to check\n\n  const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n  let typeEvent = getTypeEvent(originalTypeEvent);\n\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent;\n  }\n\n  return [isDelegated, callable, typeEvent];\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return;\n  }\n\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction); // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n          return fn.call(this, event);\n        }\n      };\n    };\n\n    callable = wrapFunction(callable);\n  }\n\n  const events = getElementEvents(element);\n  const handlers = events[typeEvent] || (events[typeEvent] = {});\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff;\n    return;\n  }\n\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n  const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n  fn.delegationSelector = isDelegated ? handler : null;\n  fn.callable = callable;\n  fn.oneOff = oneOff;\n  fn.uidEvent = uid;\n  handlers[uid] = fn;\n  element.addEventListener(typeEvent, fn, isDelegated);\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector);\n\n  if (!fn) {\n    return;\n  }\n\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n  delete events[typeEvent][fn.uidEvent];\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {};\n\n  for (const handlerKey of Object.keys(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      const event = storeElementEvent[handlerKey];\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n    }\n  }\n}\n\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '');\n  return customEvents[event] || event;\n}\n\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false);\n  },\n\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true);\n  },\n\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return;\n    }\n\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n    const inNamespace = typeEvent !== originalTypeEvent;\n    const events = getElementEvents(element);\n    const storeElementEvent = events[typeEvent] || {};\n    const isNamespace = originalTypeEvent.startsWith('.');\n\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return;\n      }\n\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n      return;\n    }\n\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n      }\n    }\n\n    for (const keyHandlers of Object.keys(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '');\n\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        const event = storeElementEvent[keyHandlers];\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n      }\n    }\n  },\n\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null;\n    }\n\n    const $ = getjQuery();\n    const typeEvent = getTypeEvent(event);\n    const inNamespace = event !== typeEvent;\n    let jQueryEvent = null;\n    let bubbles = true;\n    let nativeDispatch = true;\n    let defaultPrevented = false;\n\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args);\n      $(element).trigger(jQueryEvent);\n      bubbles = !jQueryEvent.isPropagationStopped();\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n      defaultPrevented = jQueryEvent.isDefaultPrevented();\n    }\n\n    let evt = new Event(event, {\n      bubbles,\n      cancelable: true\n    });\n    evt = hydrateObj(evt, args);\n\n    if (defaultPrevented) {\n      evt.preventDefault();\n    }\n\n    if (nativeDispatch) {\n      element.dispatchEvent(evt);\n    }\n\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault();\n    }\n\n    return evt;\n  }\n\n};\n\nfunction hydrateObj(obj, meta) {\n  for (const [key, value] of Object.entries(meta || {})) {\n    try {\n      obj[key] = value;\n    } catch (_unused) {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n\n        get() {\n          return value;\n        }\n\n      });\n    }\n  }\n\n  return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\nconst elementMap = new Map();\nconst Data = {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map());\n    }\n\n    const instanceMap = elementMap.get(element); // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n      return;\n    }\n\n    instanceMap.set(key, instance);\n  },\n\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null;\n    }\n\n    return null;\n  },\n\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return;\n    }\n\n    const instanceMap = elementMap.get(element);\n    instanceMap.delete(key); // free up element references if there are no instances left for an element\n\n    if (instanceMap.size === 0) {\n      elementMap.delete(element);\n    }\n  }\n\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true;\n  }\n\n  if (value === 'false') {\n    return false;\n  }\n\n  if (value === Number(value).toString()) {\n    return Number(value);\n  }\n\n  if (value === '' || value === 'null') {\n    return null;\n  }\n\n  if (typeof value !== 'string') {\n    return value;\n  }\n\n  try {\n    return JSON.parse(decodeURIComponent(value));\n  } catch (_unused) {\n    return value;\n  }\n}\n\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\n\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n  },\n\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n  },\n\n  getDataAttributes(element) {\n    if (!element) {\n      return {};\n    }\n\n    const attributes = {};\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '');\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n      attributes[pureKey] = normalizeData(element.dataset[key]);\n    }\n\n    return attributes;\n  },\n\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n  }\n\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {};\n  }\n\n  static get DefaultType() {\n    return {};\n  }\n\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!');\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n\n    this._typeCheckConfig(config);\n\n    return config;\n  }\n\n  _configAfterMerge(config) {\n    return config;\n  }\n\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n    return { ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    };\n  }\n\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const property of Object.keys(configTypes)) {\n      const expectedTypes = configTypes[property];\n      const value = config[property];\n      const valueType = isElement(value) ? 'element' : toType(value);\n\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n      }\n    }\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst VERSION = '5.2.3';\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super();\n    element = getElement(element);\n\n    if (!element) {\n      return;\n    }\n\n    this._element = element;\n    this._config = this._getConfig(config);\n    Data.set(this._element, this.constructor.DATA_KEY, this);\n  } // Public\n\n\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY);\n    EventHandler.off(this._element, this.constructor.EVENT_KEY);\n\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null;\n    }\n  }\n\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated);\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element);\n    config = this._configAfterMerge(config);\n\n    this._typeCheckConfig(config);\n\n    return config;\n  } // Static\n\n\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY);\n  }\n\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n  }\n\n  static get VERSION() {\n    return VERSION;\n  }\n\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`;\n  }\n\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`;\n  }\n\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`;\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n  const name = component.NAME;\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault();\n    }\n\n    if (isDisabled(this)) {\n      return;\n    }\n\n    const target = getElementFromSelector(this) || this.closest(`.${name}`);\n    const instance = component.getOrCreateInstance(target); // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n\n    instance[method]();\n  });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$f;\n  } // Public\n\n\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n\n    if (closeEvent.defaultPrevented) {\n      return;\n    }\n\n    this._element.classList.remove(CLASS_NAME_SHOW$8);\n\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n  } // Private\n\n\n  _destroyElement() {\n    this._element.remove();\n\n    EventHandler.trigger(this._element, EVENT_CLOSED);\n    this.dispose();\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config](this);\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nenableDismissTrigger(Alert, 'close');\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$e;\n  } // Public\n\n\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this);\n\n      if (config === 'toggle') {\n        data[config]();\n      }\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n  event.preventDefault();\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n  const data = Button.getOrCreateInstance(button);\n  data.toggle();\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n  },\n\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector);\n  },\n\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector));\n  },\n\n  parents(element, selector) {\n    const parents = [];\n    let ancestor = element.parentNode.closest(selector);\n\n    while (ancestor) {\n      parents.push(ancestor);\n      ancestor = ancestor.parentNode.closest(selector);\n    }\n\n    return parents;\n  },\n\n  prev(element, selector) {\n    let previous = element.previousElementSibling;\n\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous];\n      }\n\n      previous = previous.previousElementSibling;\n    }\n\n    return [];\n  },\n\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling;\n\n    while (next) {\n      if (next.matches(selector)) {\n        return [next];\n      }\n\n      next = next.nextElementSibling;\n    }\n\n    return [];\n  },\n\n  focusableChildren(element) {\n    const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n  }\n\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n};\nconst DefaultType$c = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n};\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super();\n    this._element = element;\n\n    if (!element || !Swipe.isSupported()) {\n      return;\n    }\n\n    this._config = this._getConfig(config);\n    this._deltaX = 0;\n    this._supportPointerEvents = Boolean(window.PointerEvent);\n\n    this._initEvents();\n  } // Getters\n\n\n  static get Default() {\n    return Default$c;\n  }\n\n  static get DefaultType() {\n    return DefaultType$c;\n  }\n\n  static get NAME() {\n    return NAME$d;\n  } // Public\n\n\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY$9);\n  } // Private\n\n\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX;\n      return;\n    }\n\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX;\n    }\n  }\n\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX;\n    }\n\n    this._handleSwipe();\n\n    execute(this._config.endCallback);\n  }\n\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n  }\n\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX);\n\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return;\n    }\n\n    const direction = absDeltaX / this._deltaX;\n    this._deltaX = 0;\n\n    if (!direction) {\n      return;\n    }\n\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n  }\n\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n    }\n  }\n\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n  } // Static\n\n\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n};\nconst DefaultType$b = {\n  interval: '(number|boolean)',\n  // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._interval = null;\n    this._activeElement = null;\n    this._isSliding = false;\n    this.touchTimeout = null;\n    this._swipeHelper = null;\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n\n    this._addEventListeners();\n\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle();\n    }\n  } // Getters\n\n\n  static get Default() {\n    return Default$b;\n  }\n\n  static get DefaultType() {\n    return DefaultType$b;\n  }\n\n  static get NAME() {\n    return NAME$c;\n  } // Public\n\n\n  next() {\n    this._slide(ORDER_NEXT);\n  }\n\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next();\n    }\n  }\n\n  prev() {\n    this._slide(ORDER_PREV);\n  }\n\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element);\n    }\n\n    this._clearInterval();\n  }\n\n  cycle() {\n    this._clearInterval();\n\n    this._updateInterval();\n\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n  }\n\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return;\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n      return;\n    }\n\n    this.cycle();\n  }\n\n  to(index) {\n    const items = this._getItems();\n\n    if (index > items.length - 1 || index < 0) {\n      return;\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n      return;\n    }\n\n    const activeIndex = this._getItemIndex(this._getActive());\n\n    if (activeIndex === index) {\n      return;\n    }\n\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n\n    this._slide(order, items[index]);\n  }\n\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose();\n    }\n\n    super.dispose();\n  } // Private\n\n\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval;\n    return config;\n  }\n\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n    }\n\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n      EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n    }\n\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners();\n    }\n  }\n\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n    }\n\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return;\n      } // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n\n      this.pause();\n\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout);\n      }\n\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n    };\n\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    };\n    this._swipeHelper = new Swipe(this._element, swipeConfig);\n  }\n\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return;\n    }\n\n    const direction = KEY_TO_DIRECTION[event.key];\n\n    if (direction) {\n      event.preventDefault();\n\n      this._slide(this._directionToOrder(direction));\n    }\n  }\n\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element);\n  }\n\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return;\n    }\n\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n    activeIndicator.removeAttribute('aria-current');\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n      newActiveIndicator.setAttribute('aria-current', 'true');\n    }\n  }\n\n  _updateInterval() {\n    const element = this._activeElement || this._getActive();\n\n    if (!element) {\n      return;\n    }\n\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n    this._config.interval = elementInterval || this._config.defaultInterval;\n  }\n\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return;\n    }\n\n    const activeElement = this._getActive();\n\n    const isNext = order === ORDER_NEXT;\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n\n    if (nextElement === activeElement) {\n      return;\n    }\n\n    const nextElementIndex = this._getItemIndex(nextElement);\n\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      });\n    };\n\n    const slideEvent = triggerEvent(EVENT_SLIDE);\n\n    if (slideEvent.defaultPrevented) {\n      return;\n    }\n\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // todo: change tests that use empty divs to avoid this check\n      return;\n    }\n\n    const isCycling = Boolean(this._interval);\n    this.pause();\n    this._isSliding = true;\n\n    this._setActiveIndicatorElement(nextElementIndex);\n\n    this._activeElement = nextElement;\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n    nextElement.classList.add(orderClassName);\n    reflow(nextElement);\n    activeElement.classList.add(directionalClassName);\n    nextElement.classList.add(directionalClassName);\n\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName);\n      nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n      activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n      this._isSliding = false;\n      triggerEvent(EVENT_SLID);\n    };\n\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n\n    if (isCycling) {\n      this.cycle();\n    }\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE);\n  }\n\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n  }\n\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element);\n  }\n\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval);\n      this._interval = null;\n    }\n  }\n\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n    }\n\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n  }\n\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config);\n\n      if (typeof config === 'number') {\n        data.to(config);\n        return;\n      }\n\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n\n        data[config]();\n      }\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n  const target = getElementFromSelector(this);\n\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return;\n  }\n\n  event.preventDefault();\n  const carousel = Carousel.getOrCreateInstance(target);\n  const slideIndex = this.getAttribute('data-bs-slide-to');\n\n  if (slideIndex) {\n    carousel.to(slideIndex);\n\n    carousel._maybeEnableCycle();\n\n    return;\n  }\n\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next();\n\n    carousel._maybeEnableCycle();\n\n    return;\n  }\n\n  carousel.prev();\n\n  carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n  parent: null,\n  toggle: true\n};\nconst DefaultType$a = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isTransitioning = false;\n    this._triggerArray = [];\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n\n    for (const elem of toggleList) {\n      const selector = getSelectorFromElement(elem);\n      const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem);\n      }\n    }\n\n    this._initializeChildren();\n\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n    }\n\n    if (this._config.toggle) {\n      this.toggle();\n    }\n  } // Getters\n\n\n  static get Default() {\n    return Default$a;\n  }\n\n  static get DefaultType() {\n    return DefaultType$a;\n  }\n\n  static get NAME() {\n    return NAME$b;\n  } // Public\n\n\n  toggle() {\n    if (this._isShown()) {\n      this.hide();\n    } else {\n      this.show();\n    }\n  }\n\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return;\n    }\n\n    let activeChildren = []; // find active children\n\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n        toggle: false\n      }));\n    }\n\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return;\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide();\n    }\n\n    const dimension = this._getDimension();\n\n    this._element.classList.remove(CLASS_NAME_COLLAPSE);\n\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n\n    this._element.style[dimension] = 0;\n\n    this._addAriaAndCollapsedClass(this._triggerArray, true);\n\n    this._isTransitioning = true;\n\n    const complete = () => {\n      this._isTransitioning = false;\n\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n\n      this._element.style[dimension] = '';\n      EventHandler.trigger(this._element, EVENT_SHOWN$6);\n    };\n\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n    const scrollSize = `scroll${capitalizedDimension}`;\n\n    this._queueCallback(complete, this._element, true);\n\n    this._element.style[dimension] = `${this._element[scrollSize]}px`;\n  }\n\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return;\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n\n    const dimension = this._getDimension();\n\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n    reflow(this._element);\n\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n\n    for (const trigger of this._triggerArray) {\n      const element = getElementFromSelector(trigger);\n\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false);\n      }\n    }\n\n    this._isTransitioning = true;\n\n    const complete = () => {\n      this._isTransitioning = false;\n\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n\n      this._element.classList.add(CLASS_NAME_COLLAPSE);\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n    };\n\n    this._element.style[dimension] = '';\n\n    this._queueCallback(complete, this._element, true);\n  }\n\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW$7);\n  } // Private\n\n\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle); // Coerce string values\n\n    config.parent = getElement(config.parent);\n    return config;\n  }\n\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n  }\n\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return;\n    }\n\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n\n    for (const element of children) {\n      const selected = getElementFromSelector(element);\n\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected));\n      }\n    }\n  }\n\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent); // remove children if greater depth\n\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n  }\n\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return;\n    }\n\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n      element.setAttribute('aria-expanded', isOpen);\n    }\n  } // Static\n\n\n  static jQueryInterface(config) {\n    const _config = {};\n\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false;\n    }\n\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config);\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n\n        data[config]();\n      }\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n    event.preventDefault();\n  }\n\n  const selector = getSelectorFromElement(this);\n  const selectorElements = SelectorEngine.find(selector);\n\n  for (const element of selectorElements) {\n    Collapse.getOrCreateInstance(element, {\n      toggle: false\n    }).toggle();\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n};\nconst DefaultType$9 = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n};\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._popper = null;\n    this._parent = this._element.parentNode; // dropdown wrapper\n    // todo: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.2/forms/input-group/\n\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n    this._inNavbar = this._detectNavbar();\n  } // Getters\n\n\n  static get Default() {\n    return Default$9;\n  }\n\n  static get DefaultType() {\n    return DefaultType$9;\n  }\n\n  static get NAME() {\n    return NAME$a;\n  } // Public\n\n\n  toggle() {\n    return this._isShown() ? this.hide() : this.show();\n  }\n\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return;\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n\n    this._createPopper(); // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n\n\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n\n    this._element.focus();\n\n    this._element.setAttribute('aria-expanded', true);\n\n    this._menu.classList.add(CLASS_NAME_SHOW$6);\n\n    this._element.classList.add(CLASS_NAME_SHOW$6);\n\n    EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n  }\n\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return;\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n\n    this._completeHide(relatedTarget);\n  }\n\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy();\n    }\n\n    super.dispose();\n  }\n\n  update() {\n    this._inNavbar = this._detectNavbar();\n\n    if (this._popper) {\n      this._popper.update();\n    }\n  } // Private\n\n\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    } // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n\n\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n\n    if (this._popper) {\n      this._popper.destroy();\n    }\n\n    this._menu.classList.remove(CLASS_NAME_SHOW$6);\n\n    this._element.classList.remove(CLASS_NAME_SHOW$6);\n\n    this._element.setAttribute('aria-expanded', 'false');\n\n    Manipulator.removeDataAttribute(this._menu, 'popper');\n    EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n  }\n\n  _getConfig(config) {\n    config = super._getConfig(config);\n\n    if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n    }\n\n    return config;\n  }\n\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n    }\n\n    let referenceElement = this._element;\n\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent;\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference);\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference;\n    }\n\n    const popperConfig = this._getPopperConfig();\n\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n  }\n\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n  }\n\n  _getPlacement() {\n    const parentDropdown = this._parent;\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT;\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT;\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER;\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER;\n    } // We need to trim the value because custom properties can also include spaces\n\n\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n    }\n\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n  }\n\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null;\n  }\n\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n\n    return offset;\n  }\n\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    }; // Disable Popper if we have a static display or Dropdown is in Navbar\n\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // todo:v6 remove\n\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }];\n    }\n\n    return { ...defaultBsPopperConfig,\n      ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n    };\n  }\n\n  _selectMenuItem({\n    key,\n    target\n  }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n\n    if (!items.length) {\n      return;\n    } // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n\n\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config]();\n    });\n  }\n\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n      return;\n    }\n\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle);\n\n      if (!context || context._config.autoClose === false) {\n        continue;\n      }\n\n      const composedPath = event.composedPath();\n      const isMenuTarget = composedPath.includes(context._menu);\n\n      if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n        continue;\n      } // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n\n\n      if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue;\n      }\n\n      const relatedTarget = {\n        relatedTarget: context._element\n      };\n\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event;\n      }\n\n      context._completeHide(relatedTarget);\n    }\n  }\n\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n    const isInput = /input|textarea/i.test(event.target.tagName);\n    const isEscapeEvent = event.key === ESCAPE_KEY$2;\n    const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return;\n    }\n\n    if (isInput && !isEscapeEvent) {\n      return;\n    }\n\n    event.preventDefault(); // todo: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.2/forms/input-group/\n\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n    const instance = Dropdown.getOrCreateInstance(getToggleButton);\n\n    if (isUpOrDownEvent) {\n      event.stopPropagation();\n      instance.show();\n\n      instance._selectMenuItem(event);\n\n      return;\n    }\n\n    if (instance._isShown()) {\n      // else is escape and we check if it is shown\n      event.stopPropagation();\n      instance.hide();\n      getToggleButton.focus();\n    }\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n  event.preventDefault();\n  Dropdown.getOrCreateInstance(this).toggle();\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body;\n  } // Public\n\n\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth;\n    return Math.abs(window.innerWidth - documentWidth);\n  }\n\n  hide() {\n    const width = this.getWidth();\n\n    this._disableOverFlow(); // give padding to element to balance the hidden scrollbar width\n\n\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width); // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n\n\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n  }\n\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow');\n\n    this._resetElementAttributes(this._element, PROPERTY_PADDING);\n\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n  }\n\n  isOverflowing() {\n    return this.getWidth() > 0;\n  } // Private\n\n\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow');\n\n    this._element.style.overflow = 'hidden';\n  }\n\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth();\n\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return;\n      }\n\n      this._saveInitialAttribute(element, styleProperty);\n\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n    };\n\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty);\n\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue);\n    }\n  }\n\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty); // We only want to remove the property if the value is `null`; the value can also be zero\n\n      if (value === null) {\n        element.style.removeProperty(styleProperty);\n        return;\n      }\n\n      Manipulator.removeDataAttribute(element, styleProperty);\n      element.style.setProperty(styleProperty, value);\n    };\n\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector);\n      return;\n    }\n\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel);\n    }\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true,\n  // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n\n};\nconst DefaultType$8 = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n};\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isAppended = false;\n    this._element = null;\n  } // Getters\n\n\n  static get Default() {\n    return Default$8;\n  }\n\n  static get DefaultType() {\n    return DefaultType$8;\n  }\n\n  static get NAME() {\n    return NAME$9;\n  } // Public\n\n\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n\n    this._append();\n\n    const element = this._getElement();\n\n    if (this._config.isAnimated) {\n      reflow(element);\n    }\n\n    element.classList.add(CLASS_NAME_SHOW$5);\n\n    this._emulateAnimation(() => {\n      execute(callback);\n    });\n  }\n\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n\n    this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n\n    this._emulateAnimation(() => {\n      this.dispose();\n      execute(callback);\n    });\n  }\n\n  dispose() {\n    if (!this._isAppended) {\n      return;\n    }\n\n    EventHandler.off(this._element, EVENT_MOUSEDOWN);\n\n    this._element.remove();\n\n    this._isAppended = false;\n  } // Private\n\n\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div');\n      backdrop.className = this._config.className;\n\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE$4);\n      }\n\n      this._element = backdrop;\n    }\n\n    return this._element;\n  }\n\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement);\n    return config;\n  }\n\n  _append() {\n    if (this._isAppended) {\n      return;\n    }\n\n    const element = this._getElement();\n\n    this._config.rootElement.append(element);\n\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback);\n    });\n    this._isAppended = true;\n  }\n\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n\n};\nconst DefaultType$7 = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n};\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isActive = false;\n    this._lastTabNavDirection = null;\n  } // Getters\n\n\n  static get Default() {\n    return Default$7;\n  }\n\n  static get DefaultType() {\n    return DefaultType$7;\n  }\n\n  static get NAME() {\n    return NAME$8;\n  } // Public\n\n\n  activate() {\n    if (this._isActive) {\n      return;\n    }\n\n    if (this._config.autofocus) {\n      this._config.trapElement.focus();\n    }\n\n    EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n\n    EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n    this._isActive = true;\n  }\n\n  deactivate() {\n    if (!this._isActive) {\n      return;\n    }\n\n    this._isActive = false;\n    EventHandler.off(document, EVENT_KEY$5);\n  } // Private\n\n\n  _handleFocusin(event) {\n    const {\n      trapElement\n    } = this._config;\n\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return;\n    }\n\n    const elements = SelectorEngine.focusableChildren(trapElement);\n\n    if (elements.length === 0) {\n      trapElement.focus();\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus();\n    } else {\n      elements[0].focus();\n    }\n  }\n\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return;\n    }\n\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n};\nconst DefaultType$6 = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._isShown = false;\n    this._isTransitioning = false;\n    this._scrollBar = new ScrollBarHelper();\n\n    this._addEventListeners();\n  } // Getters\n\n\n  static get Default() {\n    return Default$6;\n  }\n\n  static get DefaultType() {\n    return DefaultType$6;\n  }\n\n  static get NAME() {\n    return NAME$7;\n  } // Public\n\n\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return;\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n      relatedTarget\n    });\n\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n\n    this._isShown = true;\n    this._isTransitioning = true;\n\n    this._scrollBar.hide();\n\n    document.body.classList.add(CLASS_NAME_OPEN);\n\n    this._adjustDialog();\n\n    this._backdrop.show(() => this._showElement(relatedTarget));\n  }\n\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return;\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    this._isShown = false;\n    this._isTransitioning = true;\n\n    this._focustrap.deactivate();\n\n    this._element.classList.remove(CLASS_NAME_SHOW$4);\n\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n  }\n\n  dispose() {\n    for (const htmlElement of [window, this._dialog]) {\n      EventHandler.off(htmlElement, EVENT_KEY$4);\n    }\n\n    this._backdrop.dispose();\n\n    this._focustrap.deactivate();\n\n    super.dispose();\n  }\n\n  handleUpdate() {\n    this._adjustDialog();\n  } // Private\n\n\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop),\n      // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    });\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element);\n    }\n\n    this._element.style.display = 'block';\n\n    this._element.removeAttribute('aria-hidden');\n\n    this._element.setAttribute('aria-modal', true);\n\n    this._element.setAttribute('role', 'dialog');\n\n    this._element.scrollTop = 0;\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n\n    if (modalBody) {\n      modalBody.scrollTop = 0;\n    }\n\n    reflow(this._element);\n\n    this._element.classList.add(CLASS_NAME_SHOW$4);\n\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate();\n      }\n\n      this._isTransitioning = false;\n      EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n        relatedTarget\n      });\n    };\n\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n      if (event.key !== ESCAPE_KEY$1) {\n        return;\n      }\n\n      if (this._config.keyboard) {\n        event.preventDefault();\n        this.hide();\n        return;\n      }\n\n      this._triggerBackdropTransition();\n    });\n    EventHandler.on(window, EVENT_RESIZE$1, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog();\n      }\n    });\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return;\n        }\n\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition();\n\n          return;\n        }\n\n        if (this._config.backdrop) {\n          this.hide();\n        }\n      });\n    });\n  }\n\n  _hideModal() {\n    this._element.style.display = 'none';\n\n    this._element.setAttribute('aria-hidden', true);\n\n    this._element.removeAttribute('aria-modal');\n\n    this._element.removeAttribute('role');\n\n    this._isTransitioning = false;\n\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN);\n\n      this._resetAdjustments();\n\n      this._scrollBar.reset();\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n    });\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE$3);\n  }\n\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const initialOverflowY = this._element.style.overflowY; // return if the following background transition hasn't yet completed\n\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return;\n    }\n\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden';\n    }\n\n    this._element.classList.add(CLASS_NAME_STATIC);\n\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC);\n\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY;\n      }, this._dialog);\n    }, this._dialog);\n\n    this._element.focus();\n  }\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n\n    const scrollbarWidth = this._scrollBar.getWidth();\n\n    const isBodyOverflowing = scrollbarWidth > 0;\n\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n  }\n\n  _resetAdjustments() {\n    this._element.style.paddingLeft = '';\n    this._element.style.paddingRight = '';\n  } // Static\n\n\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config](relatedTarget);\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n  const target = getElementFromSelector(this);\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n\n  EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return;\n    }\n\n    EventHandler.one(target, EVENT_HIDDEN$4, () => {\n      if (isVisible(this)) {\n        this.focus();\n      }\n    });\n  }); // avoid conflict when clicking modal toggler while another one is open\n\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide();\n  }\n\n  const data = Modal.getOrCreateInstance(target);\n  data.toggle(this);\n});\nenableDismissTrigger(Modal);\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n};\nconst DefaultType$5 = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n};\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isShown = false;\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n\n    this._addEventListeners();\n  } // Getters\n\n\n  static get Default() {\n    return Default$5;\n  }\n\n  static get DefaultType() {\n    return DefaultType$5;\n  }\n\n  static get NAME() {\n    return NAME$6;\n  } // Public\n\n\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n\n  show(relatedTarget) {\n    if (this._isShown) {\n      return;\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n      relatedTarget\n    });\n\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n\n    this._isShown = true;\n\n    this._backdrop.show();\n\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide();\n    }\n\n    this._element.setAttribute('aria-modal', true);\n\n    this._element.setAttribute('role', 'dialog');\n\n    this._element.classList.add(CLASS_NAME_SHOWING$1);\n\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate();\n      }\n\n      this._element.classList.add(CLASS_NAME_SHOW$3);\n\n      this._element.classList.remove(CLASS_NAME_SHOWING$1);\n\n      EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n        relatedTarget\n      });\n    };\n\n    this._queueCallback(completeCallBack, this._element, true);\n  }\n\n  hide() {\n    if (!this._isShown) {\n      return;\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    this._focustrap.deactivate();\n\n    this._element.blur();\n\n    this._isShown = false;\n\n    this._element.classList.add(CLASS_NAME_HIDING);\n\n    this._backdrop.hide();\n\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n\n      this._element.removeAttribute('aria-modal');\n\n      this._element.removeAttribute('role');\n\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset();\n      }\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n    };\n\n    this._queueCallback(completeCallback, this._element, true);\n  }\n\n  dispose() {\n    this._backdrop.dispose();\n\n    this._focustrap.deactivate();\n\n    super.dispose();\n  } // Private\n\n\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n\n      this.hide();\n    }; // 'static' option will be translated to true, and booleans will keep their value\n\n\n    const isVisible = Boolean(this._config.backdrop);\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    });\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return;\n      }\n\n      if (!this._config.keyboard) {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n\n      this.hide();\n    });\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config](this);\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n  const target = getElementFromSelector(this);\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n\n  if (isDisabled(this)) {\n    return;\n  }\n\n  EventHandler.one(target, EVENT_HIDDEN$3, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus();\n    }\n  }); // avoid conflict when clicking a toggler of an offcanvas, while another is open\n\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide();\n  }\n\n  const data = Offcanvas.getOrCreateInstance(target);\n  data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show();\n  }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide();\n    }\n  }\n});\nenableDismissTrigger(Offcanvas);\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\n/**\n * A pattern that recognizes a commonly useful subset of URLs that are safe.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\n\nconst SAFE_URL_PATTERN = /^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i;\n/**\n * A pattern that matches safe data URLs. Only matches image, video and audio types.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\n\nconst DATA_URL_PATTERN = /^data:(?:image\\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\\/(?:mpeg|mp4|ogg|webm)|audio\\/(?:mp3|oga|ogg|opus));base64,[\\d+/a-z]+=*$/i;\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase();\n\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue) || DATA_URL_PATTERN.test(attribute.nodeValue));\n    }\n\n    return true;\n  } // Check if a regular expression validates the attribute.\n\n\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\n\nconst DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml;\n  }\n\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml);\n  }\n\n  const domParser = new window.DOMParser();\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase();\n\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove();\n      continue;\n    }\n\n    const attributeList = [].concat(...element.attributes);\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName);\n      }\n    }\n  }\n\n  return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n  allowList: DefaultAllowlist,\n  content: {},\n  // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n};\nconst DefaultType$4 = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n};\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n};\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n  } // Getters\n\n\n  static get Default() {\n    return Default$4;\n  }\n\n  static get DefaultType() {\n    return DefaultType$4;\n  }\n\n  static get NAME() {\n    return NAME$5;\n  } // Public\n\n\n  getContent() {\n    return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n  }\n\n  hasContent() {\n    return this.getContent().length > 0;\n  }\n\n  changeContent(content) {\n    this._checkContent(content);\n\n    this._config.content = { ...this._config.content,\n      ...content\n    };\n    return this;\n  }\n\n  toHtml() {\n    const templateWrapper = document.createElement('div');\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector);\n    }\n\n    const template = templateWrapper.children[0];\n\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '));\n    }\n\n    return template;\n  } // Private\n\n\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config);\n\n    this._checkContent(config.content);\n  }\n\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({\n        selector,\n        entry: content\n      }, DefaultContentType);\n    }\n  }\n\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template);\n\n    if (!templateElement) {\n      return;\n    }\n\n    content = this._resolvePossibleFunction(content);\n\n    if (!content) {\n      templateElement.remove();\n      return;\n    }\n\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement);\n\n      return;\n    }\n\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content);\n      return;\n    }\n\n    templateElement.textContent = content;\n  }\n\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n  }\n\n  _resolvePossibleFunction(arg) {\n    return typeof arg === 'function' ? arg(this) : arg;\n  }\n\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = '';\n      templateElement.append(element);\n      return;\n    }\n\n    templateElement.textContent = element.textContent;\n  }\n\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 0],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n  title: '',\n  trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n};\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n    }\n\n    super(element, config); // Private\n\n    this._isEnabled = true;\n    this._timeout = 0;\n    this._isHovered = null;\n    this._activeTrigger = {};\n    this._popper = null;\n    this._templateFactory = null;\n    this._newContent = null; // Protected\n\n    this.tip = null;\n\n    this._setListeners();\n\n    if (!this._config.selector) {\n      this._fixTitle();\n    }\n  } // Getters\n\n\n  static get Default() {\n    return Default$3;\n  }\n\n  static get DefaultType() {\n    return DefaultType$3;\n  }\n\n  static get NAME() {\n    return NAME$4;\n  } // Public\n\n\n  enable() {\n    this._isEnabled = true;\n  }\n\n  disable() {\n    this._isEnabled = false;\n  }\n\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled;\n  }\n\n  toggle() {\n    if (!this._isEnabled) {\n      return;\n    }\n\n    this._activeTrigger.click = !this._activeTrigger.click;\n\n    if (this._isShown()) {\n      this._leave();\n\n      return;\n    }\n\n    this._enter();\n  }\n\n  dispose() {\n    clearTimeout(this._timeout);\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n    }\n\n    this._disposePopper();\n\n    super.dispose();\n  }\n\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements');\n    }\n\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return;\n    }\n\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n    const shadowRoot = findShadowRoot(this._element);\n\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return;\n    } // todo v6 remove this OR make it optional\n\n\n    this._disposePopper();\n\n    const tip = this._getTipElement();\n\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n\n    const {\n      container\n    } = this._config;\n\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip);\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n    }\n\n    this._popper = this._createPopper(tip);\n    tip.classList.add(CLASS_NAME_SHOW$2); // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n\n      if (this._isHovered === false) {\n        this._leave();\n      }\n\n      this._isHovered = false;\n    };\n\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n\n  hide() {\n    if (!this._isShown()) {\n      return;\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    const tip = this._getTipElement();\n\n    tip.classList.remove(CLASS_NAME_SHOW$2); // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n\n    this._activeTrigger[TRIGGER_CLICK] = false;\n    this._activeTrigger[TRIGGER_FOCUS] = false;\n    this._activeTrigger[TRIGGER_HOVER] = false;\n    this._isHovered = null; // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return;\n      }\n\n      if (!this._isHovered) {\n        this._disposePopper();\n      }\n\n      this._element.removeAttribute('aria-describedby');\n\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n    };\n\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n\n  update() {\n    if (this._popper) {\n      this._popper.update();\n    }\n  } // Protected\n\n\n  _isWithContent() {\n    return Boolean(this._getTitle());\n  }\n\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n    }\n\n    return this.tip;\n  }\n\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml(); // todo: remove this check on v6\n\n\n    if (!tip) {\n      return null;\n    }\n\n    tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2); // todo: on v6 the following can be achieved with CSS only\n\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n    const tipId = getUID(this.constructor.NAME).toString();\n    tip.setAttribute('id', tipId);\n\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE$2);\n    }\n\n    return tip;\n  }\n\n  setContent(content) {\n    this._newContent = content;\n\n    if (this._isShown()) {\n      this._disposePopper();\n\n      this.show();\n    }\n  }\n\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content);\n    } else {\n      this._templateFactory = new TemplateFactory({ ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      });\n    }\n\n    return this._templateFactory;\n  }\n\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    };\n  }\n\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n  } // Private\n\n\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n  }\n\n  _isAnimated() {\n    return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n  }\n\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n  }\n\n  _createPopper(tip) {\n    const placement = typeof this._config.placement === 'function' ? this._config.placement.call(this, tip, this._element) : this._config.placement;\n    const attachment = AttachmentMap[placement.toUpperCase()];\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n  }\n\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n\n    return offset;\n  }\n\n  _resolvePossibleFunction(arg) {\n    return typeof arg === 'function' ? arg.call(this._element) : arg;\n  }\n\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [{\n        name: 'flip',\n        options: {\n          fallbackPlacements: this._config.fallbackPlacements\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }, {\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'arrow',\n        options: {\n          element: `.${this.constructor.NAME}-arrow`\n        }\n      }, {\n        name: 'preSetPlacement',\n        enabled: true,\n        phase: 'beforeMain',\n        fn: data => {\n          // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n          // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n          this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n        }\n      }]\n    };\n    return { ...defaultBsPopperConfig,\n      ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n    };\n  }\n\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ');\n\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n\n          context.toggle();\n        });\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n        const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n\n          context._enter();\n        });\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n\n          context._leave();\n        });\n      }\n    }\n\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide();\n      }\n    };\n\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n  }\n\n  _fixTitle() {\n    const title = this._element.getAttribute('title');\n\n    if (!title) {\n      return;\n    }\n\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title);\n    }\n\n    this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n\n\n    this._element.removeAttribute('title');\n  }\n\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true;\n      return;\n    }\n\n    this._isHovered = true;\n\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show();\n      }\n    }, this._config.delay.show);\n  }\n\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return;\n    }\n\n    this._isHovered = false;\n\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide();\n      }\n    }, this._config.delay.hide);\n  }\n\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout);\n    this._timeout = setTimeout(handler, timeout);\n  }\n\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true);\n  }\n\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element);\n\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute];\n      }\n    }\n\n    config = { ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    };\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n\n    this._typeCheckConfig(config);\n\n    return config;\n  }\n\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container);\n\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      };\n    }\n\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString();\n    }\n\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString();\n    }\n\n    return config;\n  }\n\n  _getDelegateConfig() {\n    const config = {};\n\n    for (const key in this._config) {\n      if (this.constructor.Default[key] !== this._config[key]) {\n        config[key] = this._config[key];\n      }\n    }\n\n    config.selector = false;\n    config.trigger = 'manual'; // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n\n    return config;\n  }\n\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy();\n\n      this._popper = null;\n    }\n\n    if (this.tip) {\n      this.tip.remove();\n      this.tip = null;\n    }\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config]();\n    });\n  }\n\n}\n/**\n * jQuery\n */\n\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = { ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n  trigger: 'click'\n};\nconst DefaultType$2 = { ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n};\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default$2;\n  }\n\n  static get DefaultType() {\n    return DefaultType$2;\n  }\n\n  static get NAME() {\n    return NAME$3;\n  } // Overrides\n\n\n  _isWithContent() {\n    return this._getTitle() || this._getContent();\n  } // Private\n\n\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    };\n  }\n\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content);\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config]();\n    });\n  }\n\n}\n/**\n * jQuery\n */\n\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n  offset: null,\n  // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n  offset: '(number|null)',\n  // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n};\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config); // this._element is the observablesContainer and config.target the menu links wrapper\n\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n    this._activeTarget = null;\n    this._observer = null;\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    };\n    this.refresh(); // initialize\n  } // Getters\n\n\n  static get Default() {\n    return Default$1;\n  }\n\n  static get DefaultType() {\n    return DefaultType$1;\n  }\n\n  static get NAME() {\n    return NAME$2;\n  } // Public\n\n\n  refresh() {\n    this._initializeTargetsAndObservables();\n\n    this._maybeEnableSmoothScroll();\n\n    if (this._observer) {\n      this._observer.disconnect();\n    } else {\n      this._observer = this._getNewObserver();\n    }\n\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section);\n    }\n  }\n\n  dispose() {\n    this._observer.disconnect();\n\n    super.dispose();\n  } // Private\n\n\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body; // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n    }\n\n    return config;\n  }\n\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return;\n    } // unregister any previous listeners\n\n\n    EventHandler.off(this._config.target, EVENT_CLICK);\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash);\n\n      if (observableSection) {\n        event.preventDefault();\n        const root = this._rootElement || window;\n        const height = observableSection.offsetTop - this._element.offsetTop;\n\n        if (root.scrollTo) {\n          root.scrollTo({\n            top: height,\n            behavior: 'smooth'\n          });\n          return;\n        } // Chrome 60 doesn't support `scrollTo`\n\n\n        root.scrollTop = height;\n      }\n    });\n  }\n\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    };\n    return new IntersectionObserver(entries => this._observerCallback(entries), options);\n  } // The logic of selection\n\n\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n\n      this._process(targetElement(entry));\n    };\n\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n    this._previousScrollData.parentScrollTop = parentScrollTop;\n\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null;\n\n        this._clearActiveClass(targetElement(entry));\n\n        continue;\n      }\n\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop; // if we are scrolling down, pick the bigger offsetTop\n\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry); // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n\n        if (!parentScrollTop) {\n          return;\n        }\n\n        continue;\n      } // if we are scrolling up, pick the smallest offsetTop\n\n\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry);\n      }\n    }\n  }\n\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue;\n      }\n\n      const observableSection = SelectorEngine.findOne(anchor.hash, this._element); // ensure that the observableSection exists & is visible\n\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(anchor.hash, anchor);\n\n        this._observableSections.set(anchor.hash, observableSection);\n      }\n    }\n  }\n\n  _process(target) {\n    if (this._activeTarget === target) {\n      return;\n    }\n\n    this._clearActiveClass(this._config.target);\n\n    this._activeTarget = target;\n    target.classList.add(CLASS_NAME_ACTIVE$1);\n\n    this._activateParents(target);\n\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n      relatedTarget: target\n    });\n  }\n\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n      return;\n    }\n\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE$1);\n      }\n    }\n  }\n\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE$1);\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE$1);\n    }\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config]();\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = ':not(.dropdown-toggle)';\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // todo:v6: could be only `tab`\n\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element);\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n\n    if (!this._parent) {\n      return; // todo: should Throw exception on v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    } // Set up initial aria attributes\n\n\n    this._setInitialAttributes(this._parent, this._getChildren());\n\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n  } // Getters\n\n\n  static get NAME() {\n    return NAME$1;\n  } // Public\n\n\n  show() {\n    // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element;\n\n    if (this._elemIsActive(innerElem)) {\n      return;\n    } // Search for active tab on same parent to deactivate it\n\n\n    const active = this._getActiveElem();\n\n    const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n      relatedTarget: innerElem\n    }) : null;\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n      relatedTarget: active\n    });\n\n    if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n      return;\n    }\n\n    this._deactivate(active, innerElem);\n\n    this._activate(innerElem, active);\n  } // Private\n\n\n  _activate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n\n    element.classList.add(CLASS_NAME_ACTIVE);\n\n    this._activate(getElementFromSelector(element)); // Search and activate/show the proper section\n\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW$1);\n        return;\n      }\n\n      element.removeAttribute('tabindex');\n      element.setAttribute('aria-selected', true);\n\n      this._toggleDropDown(element, true);\n\n      EventHandler.trigger(element, EVENT_SHOWN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n\n    element.classList.remove(CLASS_NAME_ACTIVE);\n    element.blur();\n\n    this._deactivate(getElementFromSelector(element)); // Search and deactivate the shown section too\n\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW$1);\n        return;\n      }\n\n      element.setAttribute('aria-selected', false);\n      element.setAttribute('tabindex', '-1');\n\n      this._toggleDropDown(element, false);\n\n      EventHandler.trigger(element, EVENT_HIDDEN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n\n  _keydown(event) {\n    if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)) {\n      return;\n    }\n\n    event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n\n    event.preventDefault();\n    const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n    const nextActiveElement = getNextActiveElement(this._getChildren().filter(element => !isDisabled(element)), event.target, isNext, true);\n\n    if (nextActiveElement) {\n      nextActiveElement.focus({\n        preventScroll: true\n      });\n      Tab.getOrCreateInstance(nextActiveElement).show();\n    }\n  }\n\n  _getChildren() {\n    // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n  }\n\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null;\n  }\n\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist');\n\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child);\n    }\n  }\n\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child);\n\n    const isActive = this._elemIsActive(child);\n\n    const outerElem = this._getOuterElement(child);\n\n    child.setAttribute('aria-selected', isActive);\n\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n    }\n\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1');\n    }\n\n    this._setAttributeIfNotExists(child, 'role', 'tab'); // set attributes to the related panel too\n\n\n    this._setInitialAttributesOnTargetPanel(child);\n  }\n\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = getElementFromSelector(child);\n\n    if (!target) {\n      return;\n    }\n\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `#${child.id}`);\n    }\n  }\n\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element);\n\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return;\n    }\n\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem);\n\n      if (element) {\n        element.classList.toggle(className, open);\n      }\n    };\n\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n    outerElem.setAttribute('aria-expanded', open);\n  }\n\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value);\n    }\n  }\n\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE);\n  } // Try to get the inner element (usually the .nav-link)\n\n\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n  } // Try to get the outer element (usually the .nav-item)\n\n\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem;\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this);\n\n      if (typeof config !== 'string') {\n        return;\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n\n      data[config]();\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n\n  if (isDisabled(this)) {\n    return;\n  }\n\n  Tab.getOrCreateInstance(this).show();\n});\n/**\n * Initialize on focus\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.3): toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\n\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n};\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n};\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._timeout = null;\n    this._hasMouseInteraction = false;\n    this._hasKeyboardInteraction = false;\n\n    this._setListeners();\n  } // Getters\n\n\n  static get Default() {\n    return Default;\n  }\n\n  static get DefaultType() {\n    return DefaultType;\n  }\n\n  static get NAME() {\n    return NAME;\n  } // Public\n\n\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n\n    this._clearTimeout();\n\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE);\n    }\n\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING);\n\n      EventHandler.trigger(this._element, EVENT_SHOWN);\n\n      this._maybeScheduleHide();\n    };\n\n    this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n\n\n    reflow(this._element);\n\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n\n  hide() {\n    if (!this.isShown()) {\n      return;\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n\n\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN);\n    };\n\n    this._element.classList.add(CLASS_NAME_SHOWING);\n\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n\n  dispose() {\n    this._clearTimeout();\n\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW);\n    }\n\n    super.dispose();\n  }\n\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW);\n  } // Private\n\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return;\n    }\n\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return;\n    }\n\n    this._timeout = setTimeout(() => {\n      this.hide();\n    }, this._config.delay);\n  }\n\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        {\n          this._hasMouseInteraction = isInteracting;\n          break;\n        }\n\n      case 'focusin':\n      case 'focusout':\n        {\n          this._hasKeyboardInteraction = isInteracting;\n          break;\n        }\n    }\n\n    if (isInteracting) {\n      this._clearTimeout();\n\n      return;\n    }\n\n    const nextElement = event.relatedTarget;\n\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return;\n    }\n\n    this._maybeScheduleHide();\n  }\n\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n  }\n\n  _clearTimeout() {\n    clearTimeout(this._timeout);\n    this._timeout = null;\n  } // Static\n\n\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config);\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n\n        data[config](this);\n      }\n    });\n  }\n\n}\n/**\n * Data API implementation\n */\n\n\nenableDismissTrigger(Toast);\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// Import and setup functions to control Bootstrap's behavior.\nimport 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(element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","/*!\n  * Bootstrap v5.3.2 (https://getbootstrap.com/)\n  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)\n  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n  */\nimport * as Popper from '@popperjs/core';\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map();\nconst Data = {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map());\n    }\n    const instanceMap = elementMap.get(element);\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`);\n      return;\n    }\n    instanceMap.set(key, instance);\n  },\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null;\n    }\n    return null;\n  },\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return;\n    }\n    const instanceMap = elementMap.get(element);\n    instanceMap.delete(key);\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element);\n    }\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1000000;\nconst MILLISECONDS_MULTIPLIER = 1000;\nconst TRANSITION_END = 'transitionend';\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n  if (selector && window.CSS && window.CSS.escape) {\n    // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n    selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`);\n  }\n  return selector;\n};\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n  if (object === null || object === undefined) {\n    return `${object}`;\n  }\n  return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase();\n};\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n  do {\n    prefix += Math.floor(Math.random() * MAX_UID);\n  } while (document.getElementById(prefix));\n  return prefix;\n};\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0;\n  }\n\n  // Get transition-duration of the element\n  let {\n    transitionDuration,\n    transitionDelay\n  } = window.getComputedStyle(element);\n  const floatTransitionDuration = Number.parseFloat(transitionDuration);\n  const floatTransitionDelay = Number.parseFloat(transitionDelay);\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0;\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0];\n  transitionDelay = transitionDelay.split(',')[0];\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER;\n};\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END));\n};\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false;\n  }\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0];\n  }\n  return typeof object.nodeType !== 'undefined';\n};\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object;\n  }\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object));\n  }\n  return null;\n};\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false;\n  }\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible';\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])');\n  if (!closedDetails) {\n    return elementIsVisible;\n  }\n  if (closedDetails !== element) {\n    const summary = element.closest('summary');\n    if (summary && summary.parentNode !== closedDetails) {\n      return false;\n    }\n    if (summary === null) {\n      return false;\n    }\n  }\n  return elementIsVisible;\n};\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true;\n  }\n  if (element.classList.contains('disabled')) {\n    return true;\n  }\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled;\n  }\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false';\n};\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null;\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode();\n    return root instanceof ShadowRoot ? root : null;\n  }\n  if (element instanceof ShadowRoot) {\n    return element;\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null;\n  }\n  return findShadowRoot(element.parentNode);\n};\nconst noop = () => {};\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight; // eslint-disable-line no-unused-expressions\n};\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery;\n  }\n  return null;\n};\nconst DOMContentLoadedCallbacks = [];\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback();\n        }\n      });\n    }\n    DOMContentLoadedCallbacks.push(callback);\n  } else {\n    callback();\n  }\n};\nconst isRTL = () => document.documentElement.dir === 'rtl';\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery();\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME;\n      const JQUERY_NO_CONFLICT = $.fn[name];\n      $.fn[name] = plugin.jQueryInterface;\n      $.fn[name].Constructor = plugin;\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT;\n        return plugin.jQueryInterface;\n      };\n    }\n  });\n};\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue;\n};\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback);\n    return;\n  }\n  const durationPadding = 5;\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding;\n  let called = false;\n  const handler = ({\n    target\n  }) => {\n    if (target !== transitionElement) {\n      return;\n    }\n    called = true;\n    transitionElement.removeEventListener(TRANSITION_END, handler);\n    execute(callback);\n  };\n  transitionElement.addEventListener(TRANSITION_END, handler);\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement);\n    }\n  }, emulatedDuration);\n};\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length;\n  let index = list.indexOf(activeElement);\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0];\n  }\n  index += shouldGetNext ? 1 : -1;\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength;\n  }\n  return list[Math.max(0, Math.min(index, listLength - 1))];\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/;\nconst stripNameRegex = /\\..*/;\nconst stripUidRegex = /::\\d+$/;\nconst eventRegistry = {}; // Events storage\nlet uidEvent = 1;\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n};\nconst nativeEvents = new Set(['click', 'dblclick', 'mouseup', 'mousedown', 'contextmenu', 'mousewheel', 'DOMMouseScroll', 'mouseover', 'mouseout', 'mousemove', 'selectstart', 'selectend', 'keydown', 'keypress', 'keyup', 'orientationchange', 'touchstart', 'touchmove', 'touchend', 'touchcancel', 'pointerdown', 'pointermove', 'pointerup', 'pointerleave', 'pointercancel', 'gesturestart', 'gesturechange', 'gestureend', 'focus', 'blur', 'change', 'reset', 'select', 'submit', 'focusin', 'focusout', 'load', 'unload', 'beforeunload', 'resize', 'move', 'DOMContentLoaded', 'readystatechange', 'error', 'abort', 'scroll']);\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return uid && `${uid}::${uidEvent++}` || element.uidEvent || uidEvent++;\n}\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element);\n  element.uidEvent = uid;\n  eventRegistry[uid] = eventRegistry[uid] || {};\n  return eventRegistry[uid];\n}\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, {\n      delegateTarget: element\n    });\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn);\n    }\n    return fn.apply(element, [event]);\n  };\n}\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector);\n    for (let {\n      target\n    } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue;\n        }\n        hydrateObj(event, {\n          delegateTarget: target\n        });\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn);\n        }\n        return fn.apply(target, [event]);\n      }\n    }\n  };\n}\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events).find(event => event.callable === callable && event.delegationSelector === delegationSelector);\n}\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string';\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : handler || delegationFunction;\n  let typeEvent = getTypeEvent(originalTypeEvent);\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent;\n  }\n  return [isDelegated, callable, typeEvent];\n}\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return;\n  }\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget)) {\n          return fn.call(this, event);\n        }\n      };\n    };\n    callable = wrapFunction(callable);\n  }\n  const events = getElementEvents(element);\n  const handlers = events[typeEvent] || (events[typeEvent] = {});\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null);\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff;\n    return;\n  }\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''));\n  const fn = isDelegated ? bootstrapDelegationHandler(element, handler, callable) : bootstrapHandler(element, callable);\n  fn.delegationSelector = isDelegated ? handler : null;\n  fn.callable = callable;\n  fn.oneOff = oneOff;\n  fn.uidEvent = uid;\n  handlers[uid] = fn;\n  element.addEventListener(typeEvent, fn, isDelegated);\n}\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector);\n  if (!fn) {\n    return;\n  }\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector));\n  delete events[typeEvent][fn.uidEvent];\n}\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {};\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n    }\n  }\n}\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '');\n  return customEvents[event] || event;\n}\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false);\n  },\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true);\n  },\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return;\n    }\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction);\n    const inNamespace = typeEvent !== originalTypeEvent;\n    const events = getElementEvents(element);\n    const storeElementEvent = events[typeEvent] || {};\n    const isNamespace = originalTypeEvent.startsWith('.');\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return;\n      }\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null);\n      return;\n    }\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1));\n      }\n    }\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '');\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector);\n      }\n    }\n  },\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null;\n    }\n    const $ = getjQuery();\n    const typeEvent = getTypeEvent(event);\n    const inNamespace = event !== typeEvent;\n    let jQueryEvent = null;\n    let bubbles = true;\n    let nativeDispatch = true;\n    let defaultPrevented = false;\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args);\n      $(element).trigger(jQueryEvent);\n      bubbles = !jQueryEvent.isPropagationStopped();\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped();\n      defaultPrevented = jQueryEvent.isDefaultPrevented();\n    }\n    const evt = hydrateObj(new Event(event, {\n      bubbles,\n      cancelable: true\n    }), args);\n    if (defaultPrevented) {\n      evt.preventDefault();\n    }\n    if (nativeDispatch) {\n      element.dispatchEvent(evt);\n    }\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault();\n    }\n    return evt;\n  }\n};\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value;\n    } catch (_unused) {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value;\n        }\n      });\n    }\n  }\n  return obj;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true;\n  }\n  if (value === 'false') {\n    return false;\n  }\n  if (value === Number(value).toString()) {\n    return Number(value);\n  }\n  if (value === '' || value === 'null') {\n    return null;\n  }\n  if (typeof value !== 'string') {\n    return value;\n  }\n  try {\n    return JSON.parse(decodeURIComponent(value));\n  } catch (_unused) {\n    return value;\n  }\n}\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`);\n}\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value);\n  },\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`);\n  },\n  getDataAttributes(element) {\n    if (!element) {\n      return {};\n    }\n    const attributes = {};\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'));\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '');\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length);\n      attributes[pureKey] = normalizeData(element.dataset[key]);\n    }\n    return attributes;\n  },\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`));\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {};\n  }\n  static get DefaultType() {\n    return {};\n  }\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!');\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    return config;\n  }\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {}; // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    };\n  }\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property];\n      const valueType = isElement(value) ? 'element' : toType(value);\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(`${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`);\n      }\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.2';\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super();\n    element = getElement(element);\n    if (!element) {\n      return;\n    }\n    this._element = element;\n    this._config = this._getConfig(config);\n    Data.set(this._element, this.constructor.DATA_KEY, this);\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY);\n    EventHandler.off(this._element, this.constructor.EVENT_KEY);\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null;\n    }\n  }\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated);\n  }\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY);\n  }\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null);\n  }\n  static get VERSION() {\n    return VERSION;\n  }\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`;\n  }\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`;\n  }\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target');\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href');\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || !hrefAttribute.includes('#') && !hrefAttribute.startsWith('.')) {\n      return null;\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`;\n    }\n    selector = hrefAttribute && hrefAttribute !== '#' ? parseSelector(hrefAttribute.trim()) : null;\n  }\n  return selector;\n};\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector));\n  },\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector);\n  },\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector));\n  },\n  parents(element, selector) {\n    const parents = [];\n    let ancestor = element.parentNode.closest(selector);\n    while (ancestor) {\n      parents.push(ancestor);\n      ancestor = ancestor.parentNode.closest(selector);\n    }\n    return parents;\n  },\n  prev(element, selector) {\n    let previous = element.previousElementSibling;\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous];\n      }\n      previous = previous.previousElementSibling;\n    }\n    return [];\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling;\n    while (next) {\n      if (next.matches(selector)) {\n        return [next];\n      }\n      next = next.nextElementSibling;\n    }\n    return [];\n  },\n  focusableChildren(element) {\n    const focusables = ['a', 'button', 'input', 'textarea', 'select', 'details', '[tabindex]', '[contenteditable=\"true\"]'].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',');\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el));\n  },\n  getSelectorFromElement(element) {\n    const selector = getSelector(element);\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null;\n    }\n    return null;\n  },\n  getElementFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.findOne(selector) : null;\n  },\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element);\n    return selector ? SelectorEngine.find(selector) : [];\n  }\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`;\n  const name = component.NAME;\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault();\n    }\n    if (isDisabled(this)) {\n      return;\n    }\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`);\n    const instance = component.getOrCreateInstance(target);\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]();\n  });\n};\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$f = 'alert';\nconst DATA_KEY$a = 'bs.alert';\nconst EVENT_KEY$b = `.${DATA_KEY$a}`;\nconst EVENT_CLOSE = `close${EVENT_KEY$b}`;\nconst EVENT_CLOSED = `closed${EVENT_KEY$b}`;\nconst CLASS_NAME_FADE$5 = 'fade';\nconst CLASS_NAME_SHOW$8 = 'show';\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$f;\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE);\n    if (closeEvent.defaultPrevented) {\n      return;\n    }\n    this._element.classList.remove(CLASS_NAME_SHOW$8);\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE$5);\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated);\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove();\n    EventHandler.trigger(this._element, EVENT_CLOSED);\n    this.dispose();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close');\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$e = 'button';\nconst DATA_KEY$9 = 'bs.button';\nconst EVENT_KEY$a = `.${DATA_KEY$9}`;\nconst DATA_API_KEY$6 = '.data-api';\nconst CLASS_NAME_ACTIVE$3 = 'active';\nconst SELECTOR_DATA_TOGGLE$5 = '[data-bs-toggle=\"button\"]';\nconst EVENT_CLICK_DATA_API$6 = `click${EVENT_KEY$a}${DATA_API_KEY$6}`;\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME$e;\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE$3));\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this);\n      if (config === 'toggle') {\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$6, SELECTOR_DATA_TOGGLE$5, event => {\n  event.preventDefault();\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE$5);\n  const data = Button.getOrCreateInstance(button);\n  data.toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$d = 'swipe';\nconst EVENT_KEY$9 = '.bs.swipe';\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY$9}`;\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY$9}`;\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY$9}`;\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY$9}`;\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY$9}`;\nconst POINTER_TYPE_TOUCH = 'touch';\nconst POINTER_TYPE_PEN = 'pen';\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event';\nconst SWIPE_THRESHOLD = 40;\nconst Default$c = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n};\nconst DefaultType$c = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n};\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super();\n    this._element = element;\n    if (!element || !Swipe.isSupported()) {\n      return;\n    }\n    this._config = this._getConfig(config);\n    this._deltaX = 0;\n    this._supportPointerEvents = Boolean(window.PointerEvent);\n    this._initEvents();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$c;\n  }\n  static get DefaultType() {\n    return DefaultType$c;\n  }\n  static get NAME() {\n    return NAME$d;\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY$9);\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX;\n      return;\n    }\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX;\n    }\n  }\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX;\n    }\n    this._handleSwipe();\n    execute(this._config.endCallback);\n  }\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ? 0 : event.touches[0].clientX - this._deltaX;\n  }\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX);\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return;\n    }\n    const direction = absDeltaX / this._deltaX;\n    this._deltaX = 0;\n    if (!direction) {\n      return;\n    }\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback);\n  }\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event));\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event));\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT);\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event));\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event));\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event));\n    }\n  }\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH);\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$c = 'carousel';\nconst DATA_KEY$8 = 'bs.carousel';\nconst EVENT_KEY$8 = `.${DATA_KEY$8}`;\nconst DATA_API_KEY$5 = '.data-api';\nconst ARROW_LEFT_KEY$1 = 'ArrowLeft';\nconst ARROW_RIGHT_KEY$1 = 'ArrowRight';\nconst TOUCHEVENT_COMPAT_WAIT = 500; // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next';\nconst ORDER_PREV = 'prev';\nconst DIRECTION_LEFT = 'left';\nconst DIRECTION_RIGHT = 'right';\nconst EVENT_SLIDE = `slide${EVENT_KEY$8}`;\nconst EVENT_SLID = `slid${EVENT_KEY$8}`;\nconst EVENT_KEYDOWN$1 = `keydown${EVENT_KEY$8}`;\nconst EVENT_MOUSEENTER$1 = `mouseenter${EVENT_KEY$8}`;\nconst EVENT_MOUSELEAVE$1 = `mouseleave${EVENT_KEY$8}`;\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY$8}`;\nconst EVENT_LOAD_DATA_API$3 = `load${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst EVENT_CLICK_DATA_API$5 = `click${EVENT_KEY$8}${DATA_API_KEY$5}`;\nconst CLASS_NAME_CAROUSEL = 'carousel';\nconst CLASS_NAME_ACTIVE$2 = 'active';\nconst CLASS_NAME_SLIDE = 'slide';\nconst CLASS_NAME_END = 'carousel-item-end';\nconst CLASS_NAME_START = 'carousel-item-start';\nconst CLASS_NAME_NEXT = 'carousel-item-next';\nconst CLASS_NAME_PREV = 'carousel-item-prev';\nconst SELECTOR_ACTIVE = '.active';\nconst SELECTOR_ITEM = '.carousel-item';\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM;\nconst SELECTOR_ITEM_IMG = '.carousel-item img';\nconst SELECTOR_INDICATORS = '.carousel-indicators';\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]';\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]';\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY$1]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY$1]: DIRECTION_LEFT\n};\nconst Default$b = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n};\nconst DefaultType$b = {\n  interval: '(number|boolean)',\n  // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._interval = null;\n    this._activeElement = null;\n    this._isSliding = false;\n    this.touchTimeout = null;\n    this._swipeHelper = null;\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element);\n    this._addEventListeners();\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$b;\n  }\n  static get DefaultType() {\n    return DefaultType$b;\n  }\n  static get NAME() {\n    return NAME$c;\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT);\n  }\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next();\n    }\n  }\n  prev() {\n    this._slide(ORDER_PREV);\n  }\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element);\n    }\n    this._clearInterval();\n  }\n  cycle() {\n    this._clearInterval();\n    this._updateInterval();\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval);\n  }\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle());\n      return;\n    }\n    this.cycle();\n  }\n  to(index) {\n    const items = this._getItems();\n    if (index > items.length - 1 || index < 0) {\n      return;\n    }\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index));\n      return;\n    }\n    const activeIndex = this._getItemIndex(this._getActive());\n    if (activeIndex === index) {\n      return;\n    }\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV;\n    this._slide(order, items[index]);\n  }\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose();\n    }\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval;\n    return config;\n  }\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN$1, event => this._keydown(event));\n    }\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER$1, () => this.pause());\n      EventHandler.on(this._element, EVENT_MOUSELEAVE$1, () => this._maybeEnableCycle());\n    }\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners();\n    }\n  }\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault());\n    }\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return;\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause();\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout);\n      }\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval);\n    };\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    };\n    this._swipeHelper = new Swipe(this._element, swipeConfig);\n  }\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return;\n    }\n    const direction = KEY_TO_DIRECTION[event.key];\n    if (direction) {\n      event.preventDefault();\n      this._slide(this._directionToOrder(direction));\n    }\n  }\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element);\n  }\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return;\n    }\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement);\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE$2);\n    activeIndicator.removeAttribute('aria-current');\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement);\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE$2);\n      newActiveIndicator.setAttribute('aria-current', 'true');\n    }\n  }\n  _updateInterval() {\n    const element = this._activeElement || this._getActive();\n    if (!element) {\n      return;\n    }\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10);\n    this._config.interval = elementInterval || this._config.defaultInterval;\n  }\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return;\n    }\n    const activeElement = this._getActive();\n    const isNext = order === ORDER_NEXT;\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap);\n    if (nextElement === activeElement) {\n      return;\n    }\n    const nextElementIndex = this._getItemIndex(nextElement);\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      });\n    };\n    const slideEvent = triggerEvent(EVENT_SLIDE);\n    if (slideEvent.defaultPrevented) {\n      return;\n    }\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return;\n    }\n    const isCycling = Boolean(this._interval);\n    this.pause();\n    this._isSliding = true;\n    this._setActiveIndicatorElement(nextElementIndex);\n    this._activeElement = nextElement;\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END;\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV;\n    nextElement.classList.add(orderClassName);\n    reflow(nextElement);\n    activeElement.classList.add(directionalClassName);\n    nextElement.classList.add(directionalClassName);\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName);\n      nextElement.classList.add(CLASS_NAME_ACTIVE$2);\n      activeElement.classList.remove(CLASS_NAME_ACTIVE$2, orderClassName, directionalClassName);\n      this._isSliding = false;\n      triggerEvent(EVENT_SLID);\n    };\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated());\n    if (isCycling) {\n      this.cycle();\n    }\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE);\n  }\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element);\n  }\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element);\n  }\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval);\n      this._interval = null;\n    }\n  }\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT;\n    }\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV;\n  }\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT;\n    }\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config);\n      if (typeof config === 'number') {\n        data.to(config);\n        return;\n      }\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$5, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return;\n  }\n  event.preventDefault();\n  const carousel = Carousel.getOrCreateInstance(target);\n  const slideIndex = this.getAttribute('data-bs-slide-to');\n  if (slideIndex) {\n    carousel.to(slideIndex);\n    carousel._maybeEnableCycle();\n    return;\n  }\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next();\n    carousel._maybeEnableCycle();\n    return;\n  }\n  carousel.prev();\n  carousel._maybeEnableCycle();\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$3, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE);\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$b = 'collapse';\nconst DATA_KEY$7 = 'bs.collapse';\nconst EVENT_KEY$7 = `.${DATA_KEY$7}`;\nconst DATA_API_KEY$4 = '.data-api';\nconst EVENT_SHOW$6 = `show${EVENT_KEY$7}`;\nconst EVENT_SHOWN$6 = `shown${EVENT_KEY$7}`;\nconst EVENT_HIDE$6 = `hide${EVENT_KEY$7}`;\nconst EVENT_HIDDEN$6 = `hidden${EVENT_KEY$7}`;\nconst EVENT_CLICK_DATA_API$4 = `click${EVENT_KEY$7}${DATA_API_KEY$4}`;\nconst CLASS_NAME_SHOW$7 = 'show';\nconst CLASS_NAME_COLLAPSE = 'collapse';\nconst CLASS_NAME_COLLAPSING = 'collapsing';\nconst CLASS_NAME_COLLAPSED = 'collapsed';\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`;\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal';\nconst WIDTH = 'width';\nconst HEIGHT = 'height';\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing';\nconst SELECTOR_DATA_TOGGLE$4 = '[data-bs-toggle=\"collapse\"]';\nconst Default$a = {\n  parent: null,\n  toggle: true\n};\nconst DefaultType$a = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isTransitioning = false;\n    this._triggerArray = [];\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE$4);\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem);\n      const filterElement = SelectorEngine.find(selector).filter(foundElement => foundElement === this._element);\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem);\n      }\n    }\n    this._initializeChildren();\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown());\n    }\n    if (this._config.toggle) {\n      this.toggle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$a;\n  }\n  static get DefaultType() {\n    return DefaultType$a;\n  }\n  static get NAME() {\n    return NAME$b;\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide();\n    } else {\n      this.show();\n    }\n  }\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return;\n    }\n    let activeChildren = [];\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES).filter(element => element !== this._element).map(element => Collapse.getOrCreateInstance(element, {\n        toggle: false\n      }));\n    }\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide();\n    }\n    const dimension = this._getDimension();\n    this._element.classList.remove(CLASS_NAME_COLLAPSE);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.style[dimension] = 0;\n    this._addAriaAndCollapsedClass(this._triggerArray, true);\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n      this._element.style[dimension] = '';\n      EventHandler.trigger(this._element, EVENT_SHOWN$6);\n    };\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1);\n    const scrollSize = `scroll${capitalizedDimension}`;\n    this._queueCallback(complete, this._element, true);\n    this._element.style[dimension] = `${this._element[scrollSize]}px`;\n  }\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return;\n    }\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE$6);\n    if (startEvent.defaultPrevented) {\n      return;\n    }\n    const dimension = this._getDimension();\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`;\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_COLLAPSING);\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW$7);\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger);\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false);\n      }\n    }\n    this._isTransitioning = true;\n    const complete = () => {\n      this._isTransitioning = false;\n      this._element.classList.remove(CLASS_NAME_COLLAPSING);\n      this._element.classList.add(CLASS_NAME_COLLAPSE);\n      EventHandler.trigger(this._element, EVENT_HIDDEN$6);\n    };\n    this._element.style[dimension] = '';\n    this._queueCallback(complete, this._element, true);\n  }\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW$7);\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle); // Coerce string values\n    config.parent = getElement(config.parent);\n    return config;\n  }\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT;\n  }\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return;\n    }\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE$4);\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element);\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected));\n      }\n    }\n  }\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent);\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element));\n  }\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return;\n    }\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen);\n      element.setAttribute('aria-expanded', isOpen);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {};\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false;\n    }\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config]();\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$4, SELECTOR_DATA_TOGGLE$4, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || event.delegateTarget && event.delegateTarget.tagName === 'A') {\n    event.preventDefault();\n  }\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, {\n      toggle: false\n    }).toggle();\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$a = 'dropdown';\nconst DATA_KEY$6 = 'bs.dropdown';\nconst EVENT_KEY$6 = `.${DATA_KEY$6}`;\nconst DATA_API_KEY$3 = '.data-api';\nconst ESCAPE_KEY$2 = 'Escape';\nconst TAB_KEY$1 = 'Tab';\nconst ARROW_UP_KEY$1 = 'ArrowUp';\nconst ARROW_DOWN_KEY$1 = 'ArrowDown';\nconst RIGHT_MOUSE_BUTTON = 2; // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE$5 = `hide${EVENT_KEY$6}`;\nconst EVENT_HIDDEN$5 = `hidden${EVENT_KEY$6}`;\nconst EVENT_SHOW$5 = `show${EVENT_KEY$6}`;\nconst EVENT_SHOWN$5 = `shown${EVENT_KEY$6}`;\nconst EVENT_CLICK_DATA_API$3 = `click${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY$6}${DATA_API_KEY$3}`;\nconst CLASS_NAME_SHOW$6 = 'show';\nconst CLASS_NAME_DROPUP = 'dropup';\nconst CLASS_NAME_DROPEND = 'dropend';\nconst CLASS_NAME_DROPSTART = 'dropstart';\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center';\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center';\nconst SELECTOR_DATA_TOGGLE$3 = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)';\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE$3}.${CLASS_NAME_SHOW$6}`;\nconst SELECTOR_MENU = '.dropdown-menu';\nconst SELECTOR_NAVBAR = '.navbar';\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav';\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)';\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start';\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end';\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start';\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end';\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start';\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start';\nconst PLACEMENT_TOPCENTER = 'top';\nconst PLACEMENT_BOTTOMCENTER = 'bottom';\nconst Default$9 = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n};\nconst DefaultType$9 = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n};\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._popper = null;\n    this._parent = this._element.parentNode; // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] || SelectorEngine.prev(this._element, SELECTOR_MENU)[0] || SelectorEngine.findOne(SELECTOR_MENU, this._parent);\n    this._inNavbar = this._detectNavbar();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$9;\n  }\n  static get DefaultType() {\n    return DefaultType$9;\n  }\n  static get NAME() {\n    return NAME$a;\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show();\n  }\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$5, relatedTarget);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._createPopper();\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    this._element.focus();\n    this._element.setAttribute('aria-expanded', true);\n    this._menu.classList.add(CLASS_NAME_SHOW$6);\n    this._element.classList.add(CLASS_NAME_SHOW$6);\n    EventHandler.trigger(this._element, EVENT_SHOWN$5, relatedTarget);\n  }\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return;\n    }\n    const relatedTarget = {\n      relatedTarget: this._element\n    };\n    this._completeHide(relatedTarget);\n  }\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    super.dispose();\n  }\n  update() {\n    this._inNavbar = this._detectNavbar();\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$5, relatedTarget);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    if (this._popper) {\n      this._popper.destroy();\n    }\n    this._menu.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.classList.remove(CLASS_NAME_SHOW$6);\n    this._element.setAttribute('aria-expanded', 'false');\n    Manipulator.removeDataAttribute(this._menu, 'popper');\n    EventHandler.trigger(this._element, EVENT_HIDDEN$5, relatedTarget);\n  }\n  _getConfig(config) {\n    config = super._getConfig(config);\n    if (typeof config.reference === 'object' && !isElement(config.reference) && typeof config.reference.getBoundingClientRect !== 'function') {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME$a.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`);\n    }\n    return config;\n  }\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)');\n    }\n    let referenceElement = this._element;\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent;\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference);\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference;\n    }\n    const popperConfig = this._getPopperConfig();\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig);\n  }\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW$6);\n  }\n  _getPlacement() {\n    const parentDropdown = this._parent;\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER;\n    }\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER;\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end';\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP;\n    }\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM;\n  }\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null;\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    };\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static'); // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }];\n    }\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _selectMenuItem({\n    key,\n    target\n  }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element));\n    if (!items.length) {\n      return;\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY$1, !items.includes(target)).focus();\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || event.type === 'keyup' && event.key !== TAB_KEY$1) {\n      return;\n    }\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN);\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle);\n      if (!context || context._config.autoClose === false) {\n        continue;\n      }\n      const composedPath = event.composedPath();\n      const isMenuTarget = composedPath.includes(context._menu);\n      if (composedPath.includes(context._element) || context._config.autoClose === 'inside' && !isMenuTarget || context._config.autoClose === 'outside' && isMenuTarget) {\n        continue;\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && (event.type === 'keyup' && event.key === TAB_KEY$1 || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue;\n      }\n      const relatedTarget = {\n        relatedTarget: context._element\n      };\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event;\n      }\n      context._completeHide(relatedTarget);\n    }\n  }\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName);\n    const isEscapeEvent = event.key === ESCAPE_KEY$2;\n    const isUpOrDownEvent = [ARROW_UP_KEY$1, ARROW_DOWN_KEY$1].includes(event.key);\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return;\n    }\n    if (isInput && !isEscapeEvent) {\n      return;\n    }\n    event.preventDefault();\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE$3) ? this : SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.next(this, SELECTOR_DATA_TOGGLE$3)[0] || SelectorEngine.findOne(SELECTOR_DATA_TOGGLE$3, event.delegateTarget.parentNode);\n    const instance = Dropdown.getOrCreateInstance(getToggleButton);\n    if (isUpOrDownEvent) {\n      event.stopPropagation();\n      instance.show();\n      instance._selectMenuItem(event);\n      return;\n    }\n    if (instance._isShown()) {\n      // else is escape and we check if it is shown\n      event.stopPropagation();\n      instance.hide();\n      getToggleButton.focus();\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE$3, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus);\nEventHandler.on(document, EVENT_CLICK_DATA_API$3, SELECTOR_DATA_TOGGLE$3, function (event) {\n  event.preventDefault();\n  Dropdown.getOrCreateInstance(this).toggle();\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$9 = 'backdrop';\nconst CLASS_NAME_FADE$4 = 'fade';\nconst CLASS_NAME_SHOW$5 = 'show';\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME$9}`;\nconst Default$8 = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true,\n  // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n};\n\nconst DefaultType$8 = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n};\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isAppended = false;\n    this._element = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$8;\n  }\n  static get DefaultType() {\n    return DefaultType$8;\n  }\n  static get NAME() {\n    return NAME$9;\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._append();\n    const element = this._getElement();\n    if (this._config.isAnimated) {\n      reflow(element);\n    }\n    element.classList.add(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      execute(callback);\n    });\n  }\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback);\n      return;\n    }\n    this._getElement().classList.remove(CLASS_NAME_SHOW$5);\n    this._emulateAnimation(() => {\n      this.dispose();\n      execute(callback);\n    });\n  }\n  dispose() {\n    if (!this._isAppended) {\n      return;\n    }\n    EventHandler.off(this._element, EVENT_MOUSEDOWN);\n    this._element.remove();\n    this._isAppended = false;\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div');\n      backdrop.className = this._config.className;\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE$4);\n      }\n      this._element = backdrop;\n    }\n    return this._element;\n  }\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement);\n    return config;\n  }\n  _append() {\n    if (this._isAppended) {\n      return;\n    }\n    const element = this._getElement();\n    this._config.rootElement.append(element);\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback);\n    });\n    this._isAppended = true;\n  }\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated);\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$8 = 'focustrap';\nconst DATA_KEY$5 = 'bs.focustrap';\nconst EVENT_KEY$5 = `.${DATA_KEY$5}`;\nconst EVENT_FOCUSIN$2 = `focusin${EVENT_KEY$5}`;\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY$5}`;\nconst TAB_KEY = 'Tab';\nconst TAB_NAV_FORWARD = 'forward';\nconst TAB_NAV_BACKWARD = 'backward';\nconst Default$7 = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n};\n\nconst DefaultType$7 = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n};\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n    this._isActive = false;\n    this._lastTabNavDirection = null;\n  }\n\n  // Getters\n  static get Default() {\n    return Default$7;\n  }\n  static get DefaultType() {\n    return DefaultType$7;\n  }\n  static get NAME() {\n    return NAME$8;\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return;\n    }\n    if (this._config.autofocus) {\n      this._config.trapElement.focus();\n    }\n    EventHandler.off(document, EVENT_KEY$5); // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN$2, event => this._handleFocusin(event));\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event));\n    this._isActive = true;\n  }\n  deactivate() {\n    if (!this._isActive) {\n      return;\n    }\n    this._isActive = false;\n    EventHandler.off(document, EVENT_KEY$5);\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const {\n      trapElement\n    } = this._config;\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return;\n    }\n    const elements = SelectorEngine.focusableChildren(trapElement);\n    if (elements.length === 0) {\n      trapElement.focus();\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus();\n    } else {\n      elements[0].focus();\n    }\n  }\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return;\n    }\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top';\nconst SELECTOR_STICKY_CONTENT = '.sticky-top';\nconst PROPERTY_PADDING = 'padding-right';\nconst PROPERTY_MARGIN = 'margin-right';\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body;\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth;\n    return Math.abs(window.innerWidth - documentWidth);\n  }\n  hide() {\n    const width = this.getWidth();\n    this._disableOverFlow();\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width);\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width);\n  }\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow');\n    this._resetElementAttributes(this._element, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING);\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN);\n  }\n  isOverflowing() {\n    return this.getWidth() > 0;\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow');\n    this._element.style.overflow = 'hidden';\n  }\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth();\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return;\n      }\n      this._saveInitialAttribute(element, styleProperty);\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty);\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty);\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue);\n    }\n  }\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty);\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty);\n        return;\n      }\n      Manipulator.removeDataAttribute(element, styleProperty);\n      element.style.setProperty(styleProperty, value);\n    };\n    this._applyManipulationCallback(selector, manipulationCallBack);\n  }\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector);\n      return;\n    }\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel);\n    }\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$7 = 'modal';\nconst DATA_KEY$4 = 'bs.modal';\nconst EVENT_KEY$4 = `.${DATA_KEY$4}`;\nconst DATA_API_KEY$2 = '.data-api';\nconst ESCAPE_KEY$1 = 'Escape';\nconst EVENT_HIDE$4 = `hide${EVENT_KEY$4}`;\nconst EVENT_HIDE_PREVENTED$1 = `hidePrevented${EVENT_KEY$4}`;\nconst EVENT_HIDDEN$4 = `hidden${EVENT_KEY$4}`;\nconst EVENT_SHOW$4 = `show${EVENT_KEY$4}`;\nconst EVENT_SHOWN$4 = `shown${EVENT_KEY$4}`;\nconst EVENT_RESIZE$1 = `resize${EVENT_KEY$4}`;\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY$4}`;\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY$4}`;\nconst EVENT_KEYDOWN_DISMISS$1 = `keydown.dismiss${EVENT_KEY$4}`;\nconst EVENT_CLICK_DATA_API$2 = `click${EVENT_KEY$4}${DATA_API_KEY$2}`;\nconst CLASS_NAME_OPEN = 'modal-open';\nconst CLASS_NAME_FADE$3 = 'fade';\nconst CLASS_NAME_SHOW$4 = 'show';\nconst CLASS_NAME_STATIC = 'modal-static';\nconst OPEN_SELECTOR$1 = '.modal.show';\nconst SELECTOR_DIALOG = '.modal-dialog';\nconst SELECTOR_MODAL_BODY = '.modal-body';\nconst SELECTOR_DATA_TOGGLE$2 = '[data-bs-toggle=\"modal\"]';\nconst Default$6 = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n};\nconst DefaultType$6 = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element);\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._isShown = false;\n    this._isTransitioning = false;\n    this._scrollBar = new ScrollBarHelper();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$6;\n  }\n  static get DefaultType() {\n    return DefaultType$6;\n  }\n  static get NAME() {\n    return NAME$7;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$4, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._isTransitioning = true;\n    this._scrollBar.hide();\n    document.body.classList.add(CLASS_NAME_OPEN);\n    this._adjustDialog();\n    this._backdrop.show(() => this._showElement(relatedTarget));\n  }\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$4);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = false;\n    this._isTransitioning = true;\n    this._focustrap.deactivate();\n    this._element.classList.remove(CLASS_NAME_SHOW$4);\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated());\n  }\n  dispose() {\n    EventHandler.off(window, EVENT_KEY$4);\n    EventHandler.off(this._dialog, EVENT_KEY$4);\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n  handleUpdate() {\n    this._adjustDialog();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop),\n      // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element);\n    }\n    this._element.style.display = 'block';\n    this._element.removeAttribute('aria-hidden');\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.scrollTop = 0;\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog);\n    if (modalBody) {\n      modalBody.scrollTop = 0;\n    }\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW$4);\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate();\n      }\n      this._isTransitioning = false;\n      EventHandler.trigger(this._element, EVENT_SHOWN$4, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated());\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS$1, event => {\n      if (event.key !== ESCAPE_KEY$1) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      this._triggerBackdropTransition();\n    });\n    EventHandler.on(window, EVENT_RESIZE$1, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog();\n      }\n    });\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return;\n        }\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition();\n          return;\n        }\n        if (this._config.backdrop) {\n          this.hide();\n        }\n      });\n    });\n  }\n  _hideModal() {\n    this._element.style.display = 'none';\n    this._element.setAttribute('aria-hidden', true);\n    this._element.removeAttribute('aria-modal');\n    this._element.removeAttribute('role');\n    this._isTransitioning = false;\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN);\n      this._resetAdjustments();\n      this._scrollBar.reset();\n      EventHandler.trigger(this._element, EVENT_HIDDEN$4);\n    });\n  }\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE$3);\n  }\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED$1);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const initialOverflowY = this._element.style.overflowY;\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return;\n    }\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden';\n    }\n    this._element.classList.add(CLASS_NAME_STATIC);\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC);\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY;\n      }, this._dialog);\n    }, this._dialog);\n    this._element.focus();\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight;\n    const scrollbarWidth = this._scrollBar.getWidth();\n    const isBodyOverflowing = scrollbarWidth > 0;\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft';\n      this._element.style[property] = `${scrollbarWidth}px`;\n    }\n  }\n  _resetAdjustments() {\n    this._element.style.paddingLeft = '';\n    this._element.style.paddingRight = '';\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](relatedTarget);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$2, SELECTOR_DATA_TOGGLE$2, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  EventHandler.one(target, EVENT_SHOW$4, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return;\n    }\n    EventHandler.one(target, EVENT_HIDDEN$4, () => {\n      if (isVisible(this)) {\n        this.focus();\n      }\n    });\n  });\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR$1);\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide();\n  }\n  const data = Modal.getOrCreateInstance(target);\n  data.toggle(this);\n});\nenableDismissTrigger(Modal);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$6 = 'offcanvas';\nconst DATA_KEY$3 = 'bs.offcanvas';\nconst EVENT_KEY$3 = `.${DATA_KEY$3}`;\nconst DATA_API_KEY$1 = '.data-api';\nconst EVENT_LOAD_DATA_API$2 = `load${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst ESCAPE_KEY = 'Escape';\nconst CLASS_NAME_SHOW$3 = 'show';\nconst CLASS_NAME_SHOWING$1 = 'showing';\nconst CLASS_NAME_HIDING = 'hiding';\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop';\nconst OPEN_SELECTOR = '.offcanvas.show';\nconst EVENT_SHOW$3 = `show${EVENT_KEY$3}`;\nconst EVENT_SHOWN$3 = `shown${EVENT_KEY$3}`;\nconst EVENT_HIDE$3 = `hide${EVENT_KEY$3}`;\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY$3}`;\nconst EVENT_HIDDEN$3 = `hidden${EVENT_KEY$3}`;\nconst EVENT_RESIZE = `resize${EVENT_KEY$3}`;\nconst EVENT_CLICK_DATA_API$1 = `click${EVENT_KEY$3}${DATA_API_KEY$1}`;\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY$3}`;\nconst SELECTOR_DATA_TOGGLE$1 = '[data-bs-toggle=\"offcanvas\"]';\nconst Default$5 = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n};\nconst DefaultType$5 = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n};\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._isShown = false;\n    this._backdrop = this._initializeBackDrop();\n    this._focustrap = this._initializeFocusTrap();\n    this._addEventListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default$5;\n  }\n  static get DefaultType() {\n    return DefaultType$5;\n  }\n  static get NAME() {\n    return NAME$6;\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget);\n  }\n  show(relatedTarget) {\n    if (this._isShown) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW$3, {\n      relatedTarget\n    });\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._isShown = true;\n    this._backdrop.show();\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide();\n    }\n    this._element.setAttribute('aria-modal', true);\n    this._element.setAttribute('role', 'dialog');\n    this._element.classList.add(CLASS_NAME_SHOWING$1);\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate();\n      }\n      this._element.classList.add(CLASS_NAME_SHOW$3);\n      this._element.classList.remove(CLASS_NAME_SHOWING$1);\n      EventHandler.trigger(this._element, EVENT_SHOWN$3, {\n        relatedTarget\n      });\n    };\n    this._queueCallback(completeCallBack, this._element, true);\n  }\n  hide() {\n    if (!this._isShown) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE$3);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    this._focustrap.deactivate();\n    this._element.blur();\n    this._isShown = false;\n    this._element.classList.add(CLASS_NAME_HIDING);\n    this._backdrop.hide();\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW$3, CLASS_NAME_HIDING);\n      this._element.removeAttribute('aria-modal');\n      this._element.removeAttribute('role');\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset();\n      }\n      EventHandler.trigger(this._element, EVENT_HIDDEN$3);\n    };\n    this._queueCallback(completeCallback, this._element, true);\n  }\n  dispose() {\n    this._backdrop.dispose();\n    this._focustrap.deactivate();\n    super.dispose();\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n        return;\n      }\n      this.hide();\n    };\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop);\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    });\n  }\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    });\n  }\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return;\n      }\n      if (this._config.keyboard) {\n        this.hide();\n        return;\n      }\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED);\n    });\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config](this);\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API$1, SELECTOR_DATA_TOGGLE$1, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this);\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  EventHandler.one(target, EVENT_HIDDEN$3, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus();\n    }\n  });\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR);\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide();\n  }\n  const data = Offcanvas.getOrCreateInstance(target);\n  data.toggle(this);\n});\nEventHandler.on(window, EVENT_LOAD_DATA_API$2, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show();\n  }\n});\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide();\n    }\n  }\n});\nenableDismissTrigger(Offcanvas);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i;\nconst DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n};\n// js-docs-end allow-list\n\nconst uriAttributes = new Set(['background', 'cite', 'href', 'itemtype', 'longdesc', 'poster', 'src', 'xlink:href']);\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i;\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase();\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue));\n    }\n    return true;\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp).some(regex => regex.test(attributeName));\n};\nfunction sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml;\n  }\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml);\n  }\n  const domParser = new window.DOMParser();\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html');\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'));\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase();\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove();\n      continue;\n    }\n    const attributeList = [].concat(...element.attributes);\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || []);\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName);\n      }\n    }\n  }\n  return createdDocument.body.innerHTML;\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$5 = 'TemplateFactory';\nconst Default$4 = {\n  allowList: DefaultAllowlist,\n  content: {},\n  // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n};\nconst DefaultType$4 = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n};\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n};\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super();\n    this._config = this._getConfig(config);\n  }\n\n  // Getters\n  static get Default() {\n    return Default$4;\n  }\n  static get DefaultType() {\n    return DefaultType$4;\n  }\n  static get NAME() {\n    return NAME$5;\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content).map(config => this._resolvePossibleFunction(config)).filter(Boolean);\n  }\n  hasContent() {\n    return this.getContent().length > 0;\n  }\n  changeContent(content) {\n    this._checkContent(content);\n    this._config.content = {\n      ...this._config.content,\n      ...content\n    };\n    return this;\n  }\n  toHtml() {\n    const templateWrapper = document.createElement('div');\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template);\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector);\n    }\n    const template = templateWrapper.children[0];\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass);\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '));\n    }\n    return template;\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config);\n    this._checkContent(config.content);\n  }\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({\n        selector,\n        entry: content\n      }, DefaultContentType);\n    }\n  }\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template);\n    if (!templateElement) {\n      return;\n    }\n    content = this._resolvePossibleFunction(content);\n    if (!content) {\n      templateElement.remove();\n      return;\n    }\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement);\n      return;\n    }\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content);\n      return;\n    }\n    templateElement.textContent = content;\n  }\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this]);\n  }\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = '';\n      templateElement.append(element);\n      return;\n    }\n    templateElement.textContent = element.textContent;\n  }\n}\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$4 = 'tooltip';\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn']);\nconst CLASS_NAME_FADE$2 = 'fade';\nconst CLASS_NAME_MODAL = 'modal';\nconst CLASS_NAME_SHOW$2 = 'show';\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner';\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`;\nconst EVENT_MODAL_HIDE = 'hide.bs.modal';\nconst TRIGGER_HOVER = 'hover';\nconst TRIGGER_FOCUS = 'focus';\nconst TRIGGER_CLICK = 'click';\nconst TRIGGER_MANUAL = 'manual';\nconst EVENT_HIDE$2 = 'hide';\nconst EVENT_HIDDEN$2 = 'hidden';\nconst EVENT_SHOW$2 = 'show';\nconst EVENT_SHOWN$2 = 'shown';\nconst EVENT_INSERTED = 'inserted';\nconst EVENT_CLICK$1 = 'click';\nconst EVENT_FOCUSIN$1 = 'focusin';\nconst EVENT_FOCUSOUT$1 = 'focusout';\nconst EVENT_MOUSEENTER = 'mouseenter';\nconst EVENT_MOUSELEAVE = 'mouseleave';\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n};\nconst Default$3 = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' + '<div class=\"tooltip-arrow\"></div>' + '<div class=\"tooltip-inner\"></div>' + '</div>',\n  title: '',\n  trigger: 'hover focus'\n};\nconst DefaultType$3 = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n};\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)');\n    }\n    super(element, config);\n\n    // Private\n    this._isEnabled = true;\n    this._timeout = 0;\n    this._isHovered = null;\n    this._activeTrigger = {};\n    this._popper = null;\n    this._templateFactory = null;\n    this._newContent = null;\n\n    // Protected\n    this.tip = null;\n    this._setListeners();\n    if (!this._config.selector) {\n      this._fixTitle();\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default$3;\n  }\n  static get DefaultType() {\n    return DefaultType$3;\n  }\n  static get NAME() {\n    return NAME$4;\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true;\n  }\n  disable() {\n    this._isEnabled = false;\n  }\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled;\n  }\n  toggle() {\n    if (!this._isEnabled) {\n      return;\n    }\n    this._activeTrigger.click = !this._activeTrigger.click;\n    if (this._isShown()) {\n      this._leave();\n      return;\n    }\n    this._enter();\n  }\n  dispose() {\n    clearTimeout(this._timeout);\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'));\n    }\n    this._disposePopper();\n    super.dispose();\n  }\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements');\n    }\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return;\n    }\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW$2));\n    const shadowRoot = findShadowRoot(this._element);\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element);\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return;\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper();\n    const tip = this._getTipElement();\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'));\n    const {\n      container\n    } = this._config;\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip);\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED));\n    }\n    this._popper = this._createPopper(tip);\n    tip.classList.add(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop);\n      }\n    }\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN$2));\n      if (this._isHovered === false) {\n        this._leave();\n      }\n      this._isHovered = false;\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  hide() {\n    if (!this._isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE$2));\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const tip = this._getTipElement();\n    tip.classList.remove(CLASS_NAME_SHOW$2);\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop);\n      }\n    }\n    this._activeTrigger[TRIGGER_CLICK] = false;\n    this._activeTrigger[TRIGGER_FOCUS] = false;\n    this._activeTrigger[TRIGGER_HOVER] = false;\n    this._isHovered = null; // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return;\n      }\n      if (!this._isHovered) {\n        this._disposePopper();\n      }\n      this._element.removeAttribute('aria-describedby');\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN$2));\n    };\n    this._queueCallback(complete, this.tip, this._isAnimated());\n  }\n  update() {\n    if (this._popper) {\n      this._popper.update();\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle());\n  }\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate());\n    }\n    return this.tip;\n  }\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml();\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null;\n    }\n    tip.classList.remove(CLASS_NAME_FADE$2, CLASS_NAME_SHOW$2);\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`);\n    const tipId = getUID(this.constructor.NAME).toString();\n    tip.setAttribute('id', tipId);\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE$2);\n    }\n    return tip;\n  }\n  setContent(content) {\n    this._newContent = content;\n    if (this._isShown()) {\n      this._disposePopper();\n      this.show();\n    }\n  }\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content);\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      });\n    }\n    return this._templateFactory;\n  }\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    };\n  }\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title');\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig());\n  }\n  _isAnimated() {\n    return this._config.animation || this.tip && this.tip.classList.contains(CLASS_NAME_FADE$2);\n  }\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW$2);\n  }\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element]);\n    const attachment = AttachmentMap[placement.toUpperCase()];\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment));\n  }\n  _getOffset() {\n    const {\n      offset\n    } = this._config;\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10));\n    }\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element);\n    }\n    return offset;\n  }\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element]);\n  }\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [{\n        name: 'flip',\n        options: {\n          fallbackPlacements: this._config.fallbackPlacements\n        }\n      }, {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }, {\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      }, {\n        name: 'arrow',\n        options: {\n          element: `.${this.constructor.NAME}-arrow`\n        }\n      }, {\n        name: 'preSetPlacement',\n        enabled: true,\n        phase: 'beforeMain',\n        fn: data => {\n          // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n          // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n          this._getTipElement().setAttribute('data-popper-placement', data.state.placement);\n        }\n      }]\n    };\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    };\n  }\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ');\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK$1), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context.toggle();\n        });\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSEENTER) : this.constructor.eventName(EVENT_FOCUSIN$1);\n        const eventOut = trigger === TRIGGER_HOVER ? this.constructor.eventName(EVENT_MOUSELEAVE) : this.constructor.eventName(EVENT_FOCUSOUT$1);\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true;\n          context._enter();\n        });\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event);\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] = context._element.contains(event.relatedTarget);\n          context._leave();\n        });\n      }\n    }\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide();\n      }\n    };\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler);\n  }\n  _fixTitle() {\n    const title = this._element.getAttribute('title');\n    if (!title) {\n      return;\n    }\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title);\n    }\n    this._element.setAttribute('data-bs-original-title', title); // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title');\n  }\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true;\n      return;\n    }\n    this._isHovered = true;\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show();\n      }\n    }, this._config.delay.show);\n  }\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return;\n    }\n    this._isHovered = false;\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide();\n      }\n    }, this._config.delay.hide);\n  }\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout);\n    this._timeout = setTimeout(handler, timeout);\n  }\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true);\n  }\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element);\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute];\n      }\n    }\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    };\n    config = this._mergeConfigObj(config);\n    config = this._configAfterMerge(config);\n    this._typeCheckConfig(config);\n    return config;\n  }\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container);\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      };\n    }\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString();\n    }\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString();\n    }\n    return config;\n  }\n  _getDelegateConfig() {\n    const config = {};\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value;\n      }\n    }\n    config.selector = false;\n    config.trigger = 'manual';\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config;\n  }\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy();\n      this._popper = null;\n    }\n    if (this.tip) {\n      this.tip.remove();\n      this.tip = null;\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$3 = 'popover';\nconst SELECTOR_TITLE = '.popover-header';\nconst SELECTOR_CONTENT = '.popover-body';\nconst Default$2 = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' + '<div class=\"popover-arrow\"></div>' + '<h3 class=\"popover-header\"></h3>' + '<div class=\"popover-body\"></div>' + '</div>',\n  trigger: 'click'\n};\nconst DefaultType$2 = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n};\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default$2;\n  }\n  static get DefaultType() {\n    return DefaultType$2;\n  }\n  static get NAME() {\n    return NAME$3;\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent();\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    };\n  }\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content);\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$2 = 'scrollspy';\nconst DATA_KEY$2 = 'bs.scrollspy';\nconst EVENT_KEY$2 = `.${DATA_KEY$2}`;\nconst DATA_API_KEY = '.data-api';\nconst EVENT_ACTIVATE = `activate${EVENT_KEY$2}`;\nconst EVENT_CLICK = `click${EVENT_KEY$2}`;\nconst EVENT_LOAD_DATA_API$1 = `load${EVENT_KEY$2}${DATA_API_KEY}`;\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item';\nconst CLASS_NAME_ACTIVE$1 = 'active';\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]';\nconst SELECTOR_TARGET_LINKS = '[href]';\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group';\nconst SELECTOR_NAV_LINKS = '.nav-link';\nconst SELECTOR_NAV_ITEMS = '.nav-item';\nconst SELECTOR_LIST_ITEMS = '.list-group-item';\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`;\nconst SELECTOR_DROPDOWN = '.dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE$1 = '.dropdown-toggle';\nconst Default$1 = {\n  offset: null,\n  // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n};\nconst DefaultType$1 = {\n  offset: '(number|null)',\n  // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n};\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element;\n    this._activeTarget = null;\n    this._observer = null;\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    };\n    this.refresh(); // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default$1;\n  }\n  static get DefaultType() {\n    return DefaultType$1;\n  }\n  static get NAME() {\n    return NAME$2;\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables();\n    this._maybeEnableSmoothScroll();\n    if (this._observer) {\n      this._observer.disconnect();\n    } else {\n      this._observer = this._getNewObserver();\n    }\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section);\n    }\n  }\n  dispose() {\n    this._observer.disconnect();\n    super.dispose();\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body;\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin;\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value));\n    }\n    return config;\n  }\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return;\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK);\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash);\n      if (observableSection) {\n        event.preventDefault();\n        const root = this._rootElement || window;\n        const height = observableSection.offsetTop - this._element.offsetTop;\n        if (root.scrollTo) {\n          root.scrollTo({\n            top: height,\n            behavior: 'smooth'\n          });\n          return;\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height;\n      }\n    });\n  }\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    };\n    return new IntersectionObserver(entries => this._observerCallback(entries), options);\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`);\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop;\n      this._process(targetElement(entry));\n    };\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop;\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop;\n    this._previousScrollData.parentScrollTop = parentScrollTop;\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null;\n        this._clearActiveClass(targetElement(entry));\n        continue;\n      }\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop;\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry);\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return;\n        }\n        continue;\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry);\n      }\n    }\n  }\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map();\n    this._observableSections = new Map();\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target);\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue;\n      }\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element);\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor);\n        this._observableSections.set(anchor.hash, observableSection);\n      }\n    }\n  }\n  _process(target) {\n    if (this._activeTarget === target) {\n      return;\n    }\n    this._clearActiveClass(this._config.target);\n    this._activeTarget = target;\n    target.classList.add(CLASS_NAME_ACTIVE$1);\n    this._activateParents(target);\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, {\n      relatedTarget: target\n    });\n  }\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE$1, target.closest(SELECTOR_DROPDOWN)).classList.add(CLASS_NAME_ACTIVE$1);\n      return;\n    }\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE$1);\n      }\n    }\n  }\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE$1);\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE$1}`, parent);\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE$1);\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API$1, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy);\n  }\n});\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME$1 = 'tab';\nconst DATA_KEY$1 = 'bs.tab';\nconst EVENT_KEY$1 = `.${DATA_KEY$1}`;\nconst EVENT_HIDE$1 = `hide${EVENT_KEY$1}`;\nconst EVENT_HIDDEN$1 = `hidden${EVENT_KEY$1}`;\nconst EVENT_SHOW$1 = `show${EVENT_KEY$1}`;\nconst EVENT_SHOWN$1 = `shown${EVENT_KEY$1}`;\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY$1}`;\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY$1}`;\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY$1}`;\nconst ARROW_LEFT_KEY = 'ArrowLeft';\nconst ARROW_RIGHT_KEY = 'ArrowRight';\nconst ARROW_UP_KEY = 'ArrowUp';\nconst ARROW_DOWN_KEY = 'ArrowDown';\nconst HOME_KEY = 'Home';\nconst END_KEY = 'End';\nconst CLASS_NAME_ACTIVE = 'active';\nconst CLASS_NAME_FADE$1 = 'fade';\nconst CLASS_NAME_SHOW$1 = 'show';\nconst CLASS_DROPDOWN = 'dropdown';\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle';\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu';\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = `:not(${SELECTOR_DROPDOWN_TOGGLE})`;\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]';\nconst SELECTOR_OUTER = '.nav-item, .list-group-item';\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]'; // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`;\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`;\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element);\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL);\n    if (!this._parent) {\n      return;\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren());\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event));\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME$1;\n  }\n\n  // Public\n  show() {\n    // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element;\n    if (this._elemIsActive(innerElem)) {\n      return;\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem();\n    const hideEvent = active ? EventHandler.trigger(active, EVENT_HIDE$1, {\n      relatedTarget: innerElem\n    }) : null;\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW$1, {\n      relatedTarget: active\n    });\n    if (showEvent.defaultPrevented || hideEvent && hideEvent.defaultPrevented) {\n      return;\n    }\n    this._deactivate(active, innerElem);\n    this._activate(innerElem, active);\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.add(CLASS_NAME_ACTIVE);\n    this._activate(SelectorEngine.getElementFromSelector(element)); // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.removeAttribute('tabindex');\n      element.setAttribute('aria-selected', true);\n      this._toggleDropDown(element, true);\n      EventHandler.trigger(element, EVENT_SHOWN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return;\n    }\n    element.classList.remove(CLASS_NAME_ACTIVE);\n    element.blur();\n    this._deactivate(SelectorEngine.getElementFromSelector(element)); // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW$1);\n        return;\n      }\n      element.setAttribute('aria-selected', false);\n      element.setAttribute('tabindex', '-1');\n      this._toggleDropDown(element, false);\n      EventHandler.trigger(element, EVENT_HIDDEN$1, {\n        relatedTarget: relatedElem\n      });\n    };\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE$1));\n  }\n  _keydown(event) {\n    if (![ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key)) {\n      return;\n    }\n    event.stopPropagation(); // stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault();\n    const children = this._getChildren().filter(element => !isDisabled(element));\n    let nextActiveElement;\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1];\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key);\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true);\n    }\n    if (nextActiveElement) {\n      nextActiveElement.focus({\n        preventScroll: true\n      });\n      Tab.getOrCreateInstance(nextActiveElement).show();\n    }\n  }\n  _getChildren() {\n    // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent);\n  }\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null;\n  }\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist');\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child);\n    }\n  }\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child);\n    const isActive = this._elemIsActive(child);\n    const outerElem = this._getOuterElement(child);\n    child.setAttribute('aria-selected', isActive);\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation');\n    }\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1');\n    }\n    this._setAttributeIfNotExists(child, 'role', 'tab');\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child);\n  }\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child);\n    if (!target) {\n      return;\n    }\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel');\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`);\n    }\n  }\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element);\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return;\n    }\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem);\n      if (element) {\n        element.classList.toggle(className, open);\n      }\n    };\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE);\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW$1);\n    outerElem.setAttribute('aria-expanded', open);\n  }\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value);\n    }\n  }\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE);\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem);\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this);\n      if (typeof config !== 'string') {\n        return;\n      }\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`);\n      }\n      data[config]();\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault();\n  }\n  if (isDisabled(this)) {\n    return;\n  }\n  Tab.getOrCreateInstance(this).show();\n});\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element);\n  }\n});\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab);\n\n/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n\n/**\n * Constants\n */\n\nconst NAME = 'toast';\nconst DATA_KEY = 'bs.toast';\nconst EVENT_KEY = `.${DATA_KEY}`;\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`;\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`;\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`;\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`;\nconst EVENT_HIDE = `hide${EVENT_KEY}`;\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`;\nconst EVENT_SHOW = `show${EVENT_KEY}`;\nconst EVENT_SHOWN = `shown${EVENT_KEY}`;\nconst CLASS_NAME_FADE = 'fade';\nconst CLASS_NAME_HIDE = 'hide'; // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show';\nconst CLASS_NAME_SHOWING = 'showing';\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n};\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n};\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config);\n    this._timeout = null;\n    this._hasMouseInteraction = false;\n    this._hasKeyboardInteraction = false;\n    this._setListeners();\n  }\n\n  // Getters\n  static get Default() {\n    return Default;\n  }\n  static get DefaultType() {\n    return DefaultType;\n  }\n  static get NAME() {\n    return NAME;\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW);\n    if (showEvent.defaultPrevented) {\n      return;\n    }\n    this._clearTimeout();\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE);\n    }\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING);\n      EventHandler.trigger(this._element, EVENT_SHOWN);\n      this._maybeScheduleHide();\n    };\n    this._element.classList.remove(CLASS_NAME_HIDE); // @deprecated\n    reflow(this._element);\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  hide() {\n    if (!this.isShown()) {\n      return;\n    }\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE);\n    if (hideEvent.defaultPrevented) {\n      return;\n    }\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE); // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW);\n      EventHandler.trigger(this._element, EVENT_HIDDEN);\n    };\n    this._element.classList.add(CLASS_NAME_SHOWING);\n    this._queueCallback(complete, this._element, this._config.animation);\n  }\n  dispose() {\n    this._clearTimeout();\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW);\n    }\n    super.dispose();\n  }\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW);\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return;\n    }\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return;\n    }\n    this._timeout = setTimeout(() => {\n      this.hide();\n    }, this._config.delay);\n  }\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout':\n        {\n          this._hasMouseInteraction = isInteracting;\n          break;\n        }\n      case 'focusin':\n      case 'focusout':\n        {\n          this._hasKeyboardInteraction = isInteracting;\n          break;\n        }\n    }\n    if (isInteracting) {\n      this._clearTimeout();\n      return;\n    }\n    const nextElement = event.relatedTarget;\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return;\n    }\n    this._maybeScheduleHide();\n  }\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false));\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true));\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false));\n  }\n  _clearTimeout() {\n    clearTimeout(this._timeout);\n    this._timeout = null;\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config);\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`);\n        }\n        data[config](this);\n      }\n    });\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast);\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast);\n\nexport { Alert, Button, Carousel, Collapse, Dropdown, Modal, Offcanvas, Popover, ScrollSpy, Tab, Toast, Tooltip };\n//# sourceMappingURL=bootstrap.esm.js.map\n","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if 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diff --git a/_static/scripts/pydata-sphinx-theme.js b/_static/scripts/pydata-sphinx-theme.js
index 3cbeb9b1..25dee3ec 100644
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Symbol(\"webpack error\") : \"__webpack_error__\";\nvar resolveQueue = (queue) => {\n\tif(queue && queue.d < 1) {\n\t\tqueue.d = 1;\n\t\tqueue.forEach((fn) => (fn.r--));\n\t\tqueue.forEach((fn) => (fn.r-- ? fn.r++ : fn()));\n\t}\n}\nvar wrapDeps = (deps) => (deps.map((dep) => {\n\tif(dep !== null && typeof dep === \"object\") {\n\t\tif(dep[webpackQueues]) return dep;\n\t\tif(dep.then) {\n\t\t\tvar queue = [];\n\t\t\tqueue.d = 0;\n\t\t\tdep.then((r) => {\n\t\t\t\tobj[webpackExports] = r;\n\t\t\t\tresolveQueue(queue);\n\t\t\t}, (e) => {\n\t\t\t\tobj[webpackError] = e;\n\t\t\t\tresolveQueue(queue);\n\t\t\t});\n\t\t\tvar obj = {};\n\t\t\tobj[webpackQueues] = (fn) => (fn(queue));\n\t\t\treturn obj;\n\t\t}\n\t}\n\tvar ret = {};\n\tret[webpackQueues] = x => {};\n\tret[webpackExports] = dep;\n\treturn ret;\n}));\n__webpack_require__.a = (module, body, hasAwait) => {\n\tvar queue;\n\thasAwait && ((queue = []).d = -1);\n\tvar depQueues = new Set();\n\tvar exports = module.exports;\n\tvar currentDeps;\n\tvar outerResolve;\n\tvar reject;\n\tvar promise = new Promise((resolve, rej) => {\n\t\treject = rej;\n\t\touterResolve = resolve;\n\t});\n\tpromise[webpackExports] = exports;\n\tpromise[webpackQueues] = (fn) => (queue && fn(queue), depQueues.forEach(fn), promise[\"catch\"](x => {}));\n\tmodule.exports = promise;\n\tbody((deps) => {\n\t\tcurrentDeps = wrapDeps(deps);\n\t\tvar fn;\n\t\tvar getResult = () => (currentDeps.map((d) => {\n\t\t\tif(d[webpackError]) throw d[webpackError];\n\t\t\treturn d[webpackExports];\n\t\t}))\n\t\tvar promise = new Promise((resolve) => {\n\t\t\tfn = () => (resolve(getResult));\n\t\t\tfn.r = 0;\n\t\t\tvar fnQueue = (q) => (q !== queue && !depQueues.has(q) && (depQueues.add(q), q && !q.d && (fn.r++, q.push(fn))));\n\t\t\tcurrentDeps.map((dep) => (dep[webpackQueues](fnQueue)));\n\t\t});\n\t\treturn fn.r ? promise : getResult();\n\t}, (err) => ((err ? reject(promise[webpackError] = err) : outerResolve(exports)), resolveQueue(queue)));\n\tqueue && queue.d < 0 && (queue.d = 0);\n};","/**\n * Compare [semver](https://semver.org/) version strings to find greater, equal or lesser.\n * This library supports the full semver specification, including comparing versions with different number of digits like `1.0.0`, `1.0`, `1`, and pre-release versions like `1.0.0-alpha`.\n * @param v1 - First version to compare\n * @param v2 - Second version to compare\n * @returns Numeric value compatible with the [Array.sort(fn) interface](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/sort#Parameters).\n */\nexport const compareVersions = (v1, v2) => {\n    // validate input and split into segments\n    const n1 = validateAndParse(v1);\n    const n2 = validateAndParse(v2);\n    // pop off the patch\n    const p1 = n1.pop();\n    const p2 = n2.pop();\n    // validate numbers\n    const r = compareSegments(n1, n2);\n    if (r !== 0)\n        return r;\n    // validate pre-release\n    if (p1 && p2) {\n        return compareSegments(p1.split('.'), p2.split('.'));\n    }\n    else if (p1 || p2) {\n        return p1 ? -1 : 1;\n    }\n    return 0;\n};\n/**\n * Validate [semver](https://semver.org/) version strings.\n *\n * @param version Version number to validate\n * @returns `true` if the version number is a valid semver version number, `false` otherwise.\n *\n * @example\n * ```\n * validate('1.0.0-rc.1'); // return true\n * validate('1.0-rc.1'); // return false\n * validate('foo'); // return false\n * ```\n */\nexport const validate = (version) => typeof version === 'string' && /^[v\\d]/.test(version) && semver.test(version);\n/**\n * Compare [semver](https://semver.org/) version strings using the specified operator.\n *\n * @param v1 First version to compare\n * @param v2 Second version to compare\n * @param operator Allowed arithmetic operator to use\n * @returns `true` if the comparison between the firstVersion and the secondVersion satisfies the operator, `false` otherwise.\n *\n * @example\n * ```\n * compare('10.1.8', '10.0.4', '>'); // return true\n * compare('10.0.1', '10.0.1', '='); // return true\n * compare('10.1.1', '10.2.2', '<'); // return true\n * compare('10.1.1', '10.2.2', '<='); // return true\n * compare('10.1.1', '10.2.2', '>='); // return false\n * ```\n */\nexport const compare = (v1, v2, operator) => {\n    // validate input operator\n    assertValidOperator(operator);\n    // since result of compareVersions can only be -1 or 0 or 1\n    // a simple map can be used to replace switch\n    const res = compareVersions(v1, v2);\n    return operatorResMap[operator].includes(res);\n};\n/**\n * Match [npm semver](https://docs.npmjs.com/cli/v6/using-npm/semver) version range.\n *\n * @param version Version number to match\n * @param range Range pattern for version\n * @returns `true` if the version number is within the range, `false` otherwise.\n *\n * @example\n * ```\n * satisfies('1.1.0', '^1.0.0'); // return true\n * satisfies('1.1.0', '~1.0.0'); // return false\n * ```\n */\nexport const satisfies = (version, range) => {\n    // if no range operator then \"=\"\n    const m = range.match(/^([<>=~^]+)/);\n    const op = m ? m[1] : '=';\n    // if gt/lt/eq then operator compare\n    if (op !== '^' && op !== '~')\n        return compare(version, range, op);\n    // else range of either \"~\" or \"^\" is assumed\n    const [v1, v2, v3, , vp] = validateAndParse(version);\n    const [r1, r2, r3, , rp] = validateAndParse(range);\n    const v = [v1, v2, v3];\n    const r = [r1, r2 !== null && r2 !== void 0 ? r2 : 'x', r3 !== null && r3 !== void 0 ? r3 : 'x'];\n    // validate pre-release\n    if (rp) {\n        if (!vp)\n            return false;\n        if (compareSegments(v, r) !== 0)\n            return false;\n        if (compareSegments(vp.split('.'), rp.split('.')) === -1)\n            return false;\n    }\n    // first non-zero number\n    const nonZero = r.findIndex((v) => v !== '0') + 1;\n    // pointer to where segments can be >=\n    const i = op === '~' ? 2 : nonZero > 1 ? nonZero : 1;\n    // before pointer must be equal\n    if (compareSegments(v.slice(0, i), r.slice(0, i)) !== 0)\n        return false;\n    // after pointer must be >=\n    if (compareSegments(v.slice(i), r.slice(i)) === -1)\n        return false;\n    return true;\n};\nconst semver = /^[v^~<>=]*?(\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+)(?:\\.([x*]|\\d+))?(?:-([\\da-z\\-]+(?:\\.[\\da-z\\-]+)*))?(?:\\+[\\da-z\\-]+(?:\\.[\\da-z\\-]+)*)?)?)?$/i;\nconst validateAndParse = (version) => {\n    if (typeof version !== 'string') {\n        throw new TypeError('Invalid argument expected string');\n    }\n    const match = version.match(semver);\n    if (!match) {\n        throw new Error(`Invalid argument not valid semver ('${version}' received)`);\n    }\n    match.shift();\n    return match;\n};\nconst isWildcard = (s) => s === '*' || s === 'x' || s === 'X';\nconst tryParse = (v) => {\n    const n = parseInt(v, 10);\n    return isNaN(n) ? v : n;\n};\nconst forceType = (a, b) => typeof a !== typeof b ? [String(a), String(b)] : [a, b];\nconst compareStrings = (a, b) => {\n    if (isWildcard(a) || isWildcard(b))\n        return 0;\n    const [ap, bp] = forceType(tryParse(a), tryParse(b));\n    if (ap > bp)\n        return 1;\n    if (ap < bp)\n        return -1;\n    return 0;\n};\nconst compareSegments = (a, b) => {\n    for (let i = 0; i < Math.max(a.length, b.length); i++) {\n        const r = compareStrings(a[i] || '0', b[i] || '0');\n        if (r !== 0)\n            return r;\n    }\n    return 0;\n};\nconst operatorResMap = {\n    '>': [1],\n    '>=': [0, 1],\n    '=': [0],\n    '<=': [-1, 0],\n    '<': [-1],\n};\nconst allowedOperators = Object.keys(operatorResMap);\nconst assertValidOperator = (op) => {\n    if (typeof op !== 'string') {\n        throw new TypeError(`Invalid operator type, expected string but got ${typeof op}`);\n    }\n    if (allowedOperators.indexOf(op) === -1) {\n        throw new Error(`Invalid operator, expected one of ${allowedOperators.join('|')}`);\n    }\n};\n//# sourceMappingURL=index.js.map","/* define several functions to replace jQuery methods\n * inspired by https://tobiasahlin.com/blog/move-from-jquery-to-vanilla-javascript/\n */\n\n/**\n * Execute a method if DOM has finished loading\n *\n * @param {function} callback the method to execute\n */\nexport function documentReady(callback) {\n  if (document.readyState != \"loading\") callback();\n  else document.addEventListener(\"DOMContentLoaded\", callback);\n}\n","// Define the custom behavior of the page\nimport { documentReady } from \"./mixin\";\nimport { compare, validate } from \"compare-versions\";\n\nimport \"../styles/pydata-sphinx-theme.scss\";\n\n/*******************************************************************************\n * Theme interaction\n */\n\nvar prefersDark = window.matchMedia(\"(prefers-color-scheme: dark)\");\n\n/**\n * set the the body theme to the one specified by the user browser\n *\n * @param {event} e\n */\nfunction autoTheme(e) {\n  document.documentElement.dataset.theme = prefersDark.matches\n    ? \"dark\"\n    : \"light\";\n}\n\n/**\n * Set the theme using the specified mode.\n * It can be one of [\"auto\", \"dark\", \"light\"]\n *\n * @param {str} mode\n */\nfunction setTheme(mode) {\n  if (mode !== \"light\" && mode !== \"dark\" && mode !== \"auto\") {\n    console.error(`Got invalid theme mode: ${mode}. Resetting to auto.`);\n    mode = \"auto\";\n  }\n\n  // get the theme\n  var colorScheme = prefersDark.matches ? \"dark\" : \"light\";\n  document.documentElement.dataset.mode = mode;\n  var theme = mode == \"auto\" ? colorScheme : mode;\n  document.documentElement.dataset.theme = theme;\n  // TODO: remove this line after Bootstrap upgrade\n  // v5.3 has a colors mode: https://getbootstrap.com/docs/5.3/customize/color-modes/\n  document.querySelectorAll(\".dropdown-menu\").forEach((el) => {\n    if (theme === \"dark\") {\n      el.classList.add(\"dropdown-menu-dark\");\n    } else {\n      el.classList.remove(\"dropdown-menu-dark\");\n    }\n  });\n\n  // save mode and theme\n  localStorage.setItem(\"mode\", mode);\n  localStorage.setItem(\"theme\", theme);\n  console.log(`[PST]: Changed to ${mode} mode using the ${theme} theme.`);\n\n  // add a listener if set on auto\n  prefersDark.onchange = mode == \"auto\" ? autoTheme : \"\";\n}\n\n/**\n * Change the theme option order so that clicking on the btn is always a change\n * from \"auto\"\n */\nfunction cycleMode() {\n  const defaultMode = document.documentElement.dataset.defaultMode || \"auto\";\n  const currentMode = localStorage.getItem(\"mode\") || defaultMode;\n\n  var loopArray = (arr, current) => {\n    var nextPosition = arr.indexOf(current) + 1;\n    if (nextPosition === arr.length) {\n      nextPosition = 0;\n    }\n    return arr[nextPosition];\n  };\n\n  // make sure the next theme after auto is always a change\n  var modeList = prefersDark.matches\n    ? [\"auto\", \"light\", \"dark\"]\n    : [\"auto\", \"dark\", \"light\"];\n  var newMode = loopArray(modeList, currentMode);\n  setTheme(newMode);\n}\n\n/**\n * add the theme listener on the btns of the navbar\n */\nfunction addModeListener() {\n  // the theme was set a first time using the initial mini-script\n  // running setMode will ensure the use of the dark mode if auto is selected\n  setTheme(document.documentElement.dataset.mode);\n\n  // Attach event handlers for toggling themes colors\n  document.querySelectorAll(\".theme-switch-button\").forEach((el) => {\n    el.addEventListener(\"click\", cycleMode);\n  });\n}\n\n/*******************************************************************************\n * TOC interactivity\n */\n\n/**\n * TOC sidebar - add \"active\" class to parent list\n *\n * Bootstrap's scrollspy adds the active class to the <a> link,\n * but for the automatic collapsing we need this on the parent list item.\n *\n * The event is triggered on \"window\" (and not the nav item as documented),\n * see https://github.com/twbs/bootstrap/issues/20086\n */\nfunction addTOCInteractivity() {\n  window.addEventListener(\"activate.bs.scrollspy\", function () {\n    const navLinks = document.querySelectorAll(\".bd-toc-nav a\");\n\n    navLinks.forEach((navLink) => {\n      navLink.parentElement.classList.remove(\"active\");\n    });\n\n    const activeNavLinks = document.querySelectorAll(\".bd-toc-nav a.active\");\n    activeNavLinks.forEach((navLink) => {\n      navLink.parentElement.classList.add(\"active\");\n    });\n  });\n}\n\n/*******************************************************************************\n * Scroll\n */\n\n/**\n * Navigation sidebar scrolling to active page\n */\nfunction scrollToActive() {\n  // If the docs nav doesn't exist, do nothing (e.g., on search page)\n  if (!document.querySelector(\".bd-docs-nav\")) {\n    return;\n  }\n\n  var sidebar = document.querySelector(\"div.bd-sidebar\");\n\n  // Remember the sidebar scroll position between page loads\n  // Inspired on source of revealjs.com\n  let storedScrollTop = parseInt(\n    sessionStorage.getItem(\"sidebar-scroll-top\"),\n    10\n  );\n\n  if (!isNaN(storedScrollTop)) {\n    // If we've got a saved scroll position, just use that\n    sidebar.scrollTop = storedScrollTop;\n    console.log(\"[PST]: Scrolled sidebar using stored browser position...\");\n  } else {\n    // Otherwise, calculate a position to scroll to based on the lowest `active` link\n    var sidebarNav = document.querySelector(\".bd-docs-nav\");\n    var active_pages = sidebarNav.querySelectorAll(\".active\");\n    if (active_pages.length > 0) {\n      // Use the last active page as the offset since it's the page we're on\n      var latest_active = active_pages[active_pages.length - 1];\n      var offset =\n        latest_active.getBoundingClientRect().y -\n        sidebar.getBoundingClientRect().y;\n      // Only scroll the navbar if the active link is lower than 50% of the page\n      if (latest_active.getBoundingClientRect().y > window.innerHeight * 0.5) {\n        let buffer = 0.25; // Buffer so we have some space above the scrolled item\n        sidebar.scrollTop = offset - sidebar.clientHeight * buffer;\n        console.log(\"[PST]: Scrolled sidebar using last active link...\");\n      }\n    }\n  }\n\n  // Store the sidebar scroll position\n  window.addEventListener(\"beforeunload\", () => {\n    sessionStorage.setItem(\"sidebar-scroll-top\", sidebar.scrollTop);\n  });\n}\n\n/*******************************************************************************\n * Search\n */\n\n/**\n * Find any search forms on the page and return their input element\n */\nvar findSearchInput = () => {\n  let forms = document.querySelectorAll(\"form.bd-search\");\n  if (!forms.length) {\n    // no search form found\n    return;\n  } else {\n    var form;\n    if (forms.length == 1) {\n      // there is exactly one search form (persistent or hidden)\n      form = forms[0];\n    } else {\n      // must be at least one persistent form, use the first persistent one\n      form = document.querySelector(\n        \"div:not(.search-button__search-container) > form.bd-search\"\n      );\n    }\n    return form.querySelector(\"input\");\n  }\n};\n\n/**\n * Activate the search field on the page.\n * - If there is a search field already visible it will be activated.\n * - If not, then a search field will pop up.\n */\nvar toggleSearchField = () => {\n  // Find the search input to highlight\n  let input = findSearchInput();\n\n  // if the input field is the hidden one (the one associated with the\n  // search button) then toggle the button state (to show/hide the field)\n  let searchPopupWrapper = document.querySelector(\".search-button__wrapper\");\n  let hiddenInput = searchPopupWrapper.querySelector(\"input\");\n  if (input === hiddenInput) {\n    searchPopupWrapper.classList.toggle(\"show\");\n  }\n  // when toggling off the search field, remove its focus\n  if (document.activeElement === input) {\n    input.blur();\n  } else {\n    input.focus();\n    input.select();\n    input.scrollIntoView({ block: \"center\" });\n  }\n};\n\n/**\n * Add an event listener for toggleSearchField() for Ctrl/Cmd + K\n */\nvar addEventListenerForSearchKeyboard = () => {\n  window.addEventListener(\n    \"keydown\",\n    (event) => {\n      let input = findSearchInput();\n      // toggle on Ctrl+k or ⌘+k\n      if (\n        // Ignore if shift or alt are pressed\n        !event.shiftKey &&\n        !event.altKey &&\n        // On Mac use ⌘, all other OS use Ctrl\n        (useCommandKey\n          ? event.metaKey && !event.ctrlKey\n          : !event.metaKey && event.ctrlKey) &&\n        // Case-insensitive so the shortcut still works with caps lock\n        /^k$/i.test(event.key)\n      ) {\n        event.preventDefault();\n        toggleSearchField();\n      }\n      // also allow Escape key to hide (but not show) the dynamic search field\n      else if (document.activeElement === input && /Escape/i.test(event.key)) {\n        toggleSearchField();\n      }\n    },\n    true\n  );\n};\n\n/**\n * If the user is on a Mac, use command (⌘) instead of control (ctrl) key\n *\n * Note: `navigator.platform` is deprecated; however MDN still recommends using\n * it for the one specific use case of detecting whether a keyboard shortcut\n * should use control or command:\n * https://developer.mozilla.org/en-US/docs/Web/API/Navigator/platform#examples\n */\nvar useCommandKey =\n  navigator.platform.indexOf(\"Mac\") === 0 || navigator.platform === \"iPhone\";\n\n/**\n * Change the search hint to `meta key` if we are a Mac\n */\n\nvar changeSearchShortcutKey = () => {\n  let shortcuts = document.querySelectorAll(\".search-button__kbd-shortcut\");\n  if (useCommandKey) {\n    shortcuts.forEach(\n      (f) => (f.querySelector(\"kbd.kbd-shortcut__modifier\").innerText = \"⌘\")\n    );\n  }\n};\n\n/**\n * Activate callbacks for search button popup\n */\nvar setupSearchButtons = () => {\n  changeSearchShortcutKey();\n  addEventListenerForSearchKeyboard();\n\n  // Add the search button trigger event callback\n  document.querySelectorAll(\".search-button__button\").forEach((btn) => {\n    btn.onclick = toggleSearchField;\n  });\n\n  // Add the search button overlay event callback\n  let overlay = document.querySelector(\".search-button__overlay\");\n  if (overlay) {\n    overlay.onclick = toggleSearchField;\n  }\n};\n\n/*******************************************************************************\n * Version Switcher\n * Note that this depends on two variables existing that are defined in\n * and `html-page-context` hook:\n *\n * - DOCUMENTATION_OPTIONS.pagename\n * - DOCUMENTATION_OPTIONS.theme_switcher_url\n */\n\n/**\n * Check if corresponding page path exists in other version of docs\n * and, if so, go there instead of the homepage of the other docs version\n *\n * @param {event} event the event that trigger the check\n */\nasync function checkPageExistsAndRedirect(event) {\n  // ensure we don't follow the initial link\n  event.preventDefault();\n  let currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  let tryUrl = event.currentTarget.getAttribute(\"href\");\n  let otherDocsHomepage = tryUrl.replace(currentFilePath, \"\");\n  try {\n    let head = await fetch(tryUrl, { method: \"HEAD\" });\n    if (head.ok) {\n      location.href = tryUrl; // the page exists, go there\n    } else {\n      location.href = otherDocsHomepage;\n    }\n  } catch (err) {\n    // something went wrong, probably CORS restriction, fallback to other docs homepage\n    location.href = otherDocsHomepage;\n  }\n}\n\n/**\n * Load and parse the version switcher JSON file from an absolute or relative URL.\n *\n * @param {string} url The URL to load version switcher entries from.\n */\nasync function fetchVersionSwitcherJSON(url) {\n  // first check if it's a valid URL\n  try {\n    var result = new URL(url);\n  } catch (err) {\n    if (err instanceof TypeError) {\n      // assume we got a relative path, and fix accordingly. But first, we need to\n      // use `fetch()` to follow redirects so we get the correct final base URL\n      const origin = await fetch(window.location.origin, { method: \"HEAD\" });\n      result = new URL(url, origin.url);\n    } else {\n      // something unexpected happened\n      throw err;\n    }\n  }\n  // load and return the JSON\n  const response = await fetch(result);\n  const data = await response.json();\n  return data;\n}\n\n// Populate the version switcher from the JSON data\nfunction populateVersionSwitcher(data, versionSwitcherBtns) {\n  const currentFilePath = `${DOCUMENTATION_OPTIONS.pagename}.html`;\n  versionSwitcherBtns.forEach((btn) => {\n    // Set empty strings by default so that these attributes exist and can be used in CSS selectors\n    btn.dataset[\"activeVersionName\"] = \"\";\n    btn.dataset[\"activeVersion\"] = \"\";\n  });\n  // in case there are multiple entries with the same version string, this helps us\n  // decide which entry's `name` to put on the button itself. Without this, it would\n  // always be the *last* version-matching entry; now it will be either the\n  // version-matching entry that is also marked as `\"preferred\": true`, or if that\n  // doesn't exist: the *first* version-matching entry.\n  data = data.map((entry) => {\n    // does this entry match the version that we're currently building/viewing?\n    entry.match =\n      entry.version == DOCUMENTATION_OPTIONS.theme_switcher_version_match;\n    entry.preferred = entry.preferred || false;\n    // if no custom name specified (e.g., \"latest\"), use version string\n    if (!(\"name\" in entry)) {\n      entry.name = entry.version;\n    }\n    return entry;\n  });\n  const hasMatchingPreferredEntry = data\n    .map((entry) => entry.preferred && entry.match)\n    .some(Boolean);\n  var foundMatch = false;\n  // create links to the corresponding page in the other docs versions\n  data.forEach((entry) => {\n    // create the node\n    const anchor = document.createElement(\"a\");\n    anchor.setAttribute(\n      \"class\",\n      \"dropdown-item list-group-item list-group-item-action py-1\"\n    );\n    anchor.setAttribute(\"href\", `${entry.url}${currentFilePath}`);\n    anchor.setAttribute(\"role\", \"option\");\n    const span = document.createElement(\"span\");\n    span.textContent = `${entry.name}`;\n    anchor.appendChild(span);\n    // Add dataset values for the version and name in case people want\n    // to apply CSS styling based on this information.\n    anchor.dataset[\"versionName\"] = entry.name;\n    anchor.dataset[\"version\"] = entry.version;\n    // replace dropdown button text with the preferred display name of the\n    // currently-viewed version, rather than using sphinx's {{ version }} variable.\n    // also highlight the dropdown entry for the currently-viewed version's entry\n    let matchesAndIsPreferred = hasMatchingPreferredEntry && entry.preferred;\n    let matchesAndIsFirst =\n      !hasMatchingPreferredEntry && !foundMatch && entry.match;\n    if (matchesAndIsPreferred || matchesAndIsFirst) {\n      anchor.classList.add(\"active\");\n      versionSwitcherBtns.forEach((btn) => {\n        btn.innerText = entry.name;\n        btn.dataset[\"activeVersionName\"] = entry.name;\n        btn.dataset[\"activeVersion\"] = entry.version;\n      });\n      foundMatch = true;\n    }\n    // There may be multiple version-switcher elements, e.g. one\n    // in a slide-over panel displayed on smaller screens.\n    document.querySelectorAll(\".version-switcher__menu\").forEach((menu) => {\n      // we need to clone the node for each menu, but onclick attributes are not\n      // preserved by `.cloneNode()` so we add onclick here after cloning.\n      let node = anchor.cloneNode(true);\n      node.onclick = checkPageExistsAndRedirect;\n      // on click, AJAX calls will check if the linked page exists before\n      // trying to redirect, and if not, will redirect to the homepage\n      // for that version of the docs.\n      menu.append(node);\n    });\n  });\n}\n\n/*******************************************************************************\n * Warning banner when viewing non-stable version of the docs.\n */\n\n/**\n * Show a warning banner when viewing a non-stable version of the docs.\n *\n * adapted 2023-06 from https://mne.tools/versionwarning.js, which was\n * originally adapted 2020-05 from https://scikit-learn.org/versionwarning.js\n *\n * @param {Array} data The version data used to populate the switcher menu.\n */\nfunction showVersionWarningBanner(data) {\n  var version = DOCUMENTATION_OPTIONS.VERSION;\n  // figure out what latest stable version is\n  var preferredEntries = data.filter((entry) => entry.preferred);\n  if (preferredEntries.length !== 1) {\n    const howMany = preferredEntries.length == 0 ? \"No\" : \"Multiple\";\n    console.log(\n      `[PST] ${howMany} versions marked \"preferred\" found in versions JSON, ignoring.`\n    );\n    return;\n  }\n  const preferredVersion = preferredEntries[0].version;\n  const preferredURL = preferredEntries[0].url;\n  // if already on preferred version, nothing to do\n  const versionsAreComparable = validate(version) && validate(preferredVersion);\n  if (versionsAreComparable && compare(version, preferredVersion, \"=\")) {\n    return;\n  }\n  // now construct the warning banner\n  var outer = document.createElement(\"aside\");\n  // TODO: add to translatable strings\n  outer.setAttribute(\"aria-label\", \"Version warning\");\n  const middle = document.createElement(\"div\");\n  const inner = document.createElement(\"div\");\n  const bold = document.createElement(\"strong\");\n  const button = document.createElement(\"a\");\n  // these classes exist since pydata-sphinx-theme v0.10.0\n  outer.classList = \"bd-header-version-warning container-fluid\";\n  middle.classList = \"bd-header-announcement__content\";\n  inner.classList = \"sidebar-message\";\n  button.classList =\n    \"sd-btn sd-btn-danger sd-shadow-sm sd-text-wrap font-weight-bold ms-3 my-1 align-baseline\";\n  button.href = `${preferredURL}${DOCUMENTATION_OPTIONS.pagename}.html`;\n  button.innerText = \"Switch to stable version\";\n  button.onclick = checkPageExistsAndRedirect;\n  // add the version-dependent text\n  inner.innerText = \"This is documentation for \";\n  const isDev =\n    version.includes(\"dev\") ||\n    version.includes(\"rc\") ||\n    version.includes(\"pre\");\n  const newerThanPreferred =\n    versionsAreComparable && compare(version, preferredVersion, \">\");\n  if (isDev || newerThanPreferred) {\n    bold.innerText = \"an unstable development version\";\n  } else if (versionsAreComparable && compare(version, preferredVersion, \"<\")) {\n    bold.innerText = `an old version (${version})`;\n  } else if (!version) {\n    bold.innerText = \"an unknown version\"; // e.g., an empty string\n  } else {\n    bold.innerText = `version ${version}`;\n  }\n  outer.appendChild(middle);\n  middle.appendChild(inner);\n  inner.appendChild(bold);\n  inner.appendChild(document.createTextNode(\".\"));\n  inner.appendChild(button);\n  const skipLink = document.getElementById(\"pst-skip-link\");\n  skipLink.after(outer);\n}\n\n/*******************************************************************************\n * MutationObserver to move the ReadTheDocs button\n */\n\n/**\n * intercept the RTD flyout and place it in the rtd-footer-container if existing\n * if not it stays where on top of the page\n */\nfunction initRTDObserver() {\n  const mutatedCallback = (mutationList, observer) => {\n    mutationList.forEach((mutation) => {\n      // Check whether the mutation is for RTD, which will have a specific structure\n      if (mutation.addedNodes.length === 0) {\n        return;\n      }\n      if (mutation.addedNodes[0].data === undefined) {\n        return;\n      }\n      if (mutation.addedNodes[0].data.search(\"Inserted RTD Footer\") != -1) {\n        mutation.addedNodes.forEach((node) => {\n          document.getElementById(\"rtd-footer-container\").append(node);\n        });\n      }\n    });\n  };\n\n  const observer = new MutationObserver(mutatedCallback);\n  const config = { childList: true };\n  observer.observe(document.body, config);\n}\n\n// fetch the JSON version data (only once), then use it to populate the version\n// switcher and maybe show the version warning bar\nvar versionSwitcherBtns = document.querySelectorAll(\n  \".version-switcher__button\"\n);\nconst hasSwitcherMenu = versionSwitcherBtns.length > 0;\nconst hasVersionsJSON = DOCUMENTATION_OPTIONS.hasOwnProperty(\n  \"theme_switcher_json_url\"\n);\nconst wantsWarningBanner = DOCUMENTATION_OPTIONS.show_version_warning_banner;\n\nif (hasVersionsJSON && (hasSwitcherMenu || wantsWarningBanner)) {\n  const data = await fetchVersionSwitcherJSON(\n    DOCUMENTATION_OPTIONS.theme_switcher_json_url\n  );\n  populateVersionSwitcher(data, versionSwitcherBtns);\n  if (wantsWarningBanner) {\n    showVersionWarningBanner(data);\n  }\n}\n\n/**\n * Fix bug #1603\n */\nfunction fixMoreLinksInMobileSidebar() {\n  const dropdown = document.querySelector(\n    \".bd-sidebar-primary [id^=pst-nav-more-links]\"\n  );\n  dropdown.classList.add(\"show\");\n}\n\n/*******************************************************************************\n * Call functions after document loading.\n */\n\ndocumentReady(addModeListener);\ndocumentReady(scrollToActive);\ndocumentReady(addTOCInteractivity);\ndocumentReady(setupSearchButtons);\ndocumentReady(initRTDObserver);\ndocumentReady(fixMoreLinksInMobileSidebar);\n","// The module cache\nvar __webpack_module_cache__ = {};\n\n// The require function\nfunction __webpack_require__(moduleId) {\n\t// Check if module is in cache\n\tvar cachedModule = __webpack_module_cache__[moduleId];\n\tif (cachedModule !== undefined) {\n\t\treturn cachedModule.exports;\n\t}\n\t// Create a new module (and put it into the cache)\n\tvar module = __webpack_module_cache__[moduleId] = {\n\t\t// no module.id needed\n\t\t// no module.loaded needed\n\t\texports: {}\n\t};\n\n\t// Execute the module function\n\t__webpack_modules__[moduleId](module, module.exports, __webpack_require__);\n\n\t// Return the exports of the module\n\treturn module.exports;\n}\n\n","// define getter functions for harmony exports\n__webpack_require__.d = (exports, definition) => {\n\tfor(var key in definition) {\n\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n\t\t}\n\t}\n};","__webpack_require__.o = (obj, prop) => (Object.prototype.hasOwnProperty.call(obj, prop))","// startup\n// Load entry module and return exports\n// This entry module used 'module' so it can't be inlined\nvar __webpack_exports__ = __webpack_require__(937);\n"],"names":["webpackQueues","webpackExports","webpackError","resolveQueue","validate","version","test","semver","compare","v1","v2","operator","assertValidOperator","res","n1","validateAndParse","n2","p1","pop","p2","r","compareSegments","split","compareVersions","operatorResMap","includes","TypeError","match","Error","shift","isWildcard","s","tryParse","v","n","parseInt","isNaN","compareStrings","a","b","ap","bp","String","forceType","i","Math","max","length","allowedOperators","Object","keys","op","indexOf","join","documentReady","callback","document","readyState","addEventListener","prefersDark","window","matchMedia","autoTheme","e","documentElement","dataset","theme","matches","setTheme","mode","console","error","colorScheme","querySelectorAll","forEach","el","classList","add","remove","localStorage","setItem","log","onchange","cycleMode","defaultMode","currentMode","getItem","arr","nextPosition","addModeListener","addTOCInteractivity","navLink","parentElement","scrollToActive","querySelector","sidebar","storedScrollTop","sessionStorage","active_pages","latest_active","offset","getBoundingClientRect","y","innerHeight","buffer","scrollTop","clientHeight","findSearchInput","forms","toggleSearchField","input","searchPopupWrapper","toggle","activeElement","blur","focus","select","scrollIntoView","block","useCommandKey","navigator","platform","async","checkPageExistsAndRedirect","event","preventDefault","currentFilePath","DOCUMENTATION_OPTIONS","pagename","tryUrl","currentTarget","getAttribute","otherDocsHomepage","replace","fetch","method","ok","location","href","err","fetchVersionSwitcherJSON","url","result","URL","origin","response","json","populateVersionSwitcher","data","versionSwitcherBtns","btn","hasMatchingPreferredEntry","map","entry","theme_switcher_version_match","preferred","name","some","Boolean","foundMatch","anchor","createElement","setAttribute","span","textContent","appendChild","matchesAndIsPreferred","matchesAndIsFirst","innerText","menu","node","cloneNode","onclick","append","showVersionWarningBanner","VERSION","preferredEntries","filter","howMany","preferredVersion","preferredURL","versionsAreComparable","outer","middle","inner","bold","button","isDev","newerThanPreferred","createTextNode","getElementById","after","initRTDObserver","MutationObserver","mutationList","observer","mutation","addedNodes","undefined","search","observe","body","childList","hasSwitcherMenu","hasVersionsJSON","hasOwnProperty","wantsWarningBanner","show_version_warning_banner","theme_switcher_json_url","fixMoreLinksInMobileSidebar","shortcuts","f","changeSearchShortcutKey","shiftKey","altKey","metaKey","ctrlKey","key","overlay","__webpack_module_cache__","__webpack_require__","moduleId","cachedModule","exports","module","__webpack_modules__","Symbol","queue","d","fn","hasAwait","currentDeps","outerResolve","reject","depQueues","Set","promise","Promise","resolve","rej","x","deps","dep","then","obj","ret","wrapDeps","getResult","fnQueue","q","has","push","definition","o","defineProperty","enumerable","get","prop","prototype","call"],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/searchtools.js b/_static/searchtools.js
index 0a44e858..ac4d5861 100644
--- a/_static/searchtools.js
+++ b/_static/searchtools.js
@@ -8,18 +8,20 @@
  * :license: BSD, see LICENSE for details.
  *
  */
+"use strict";
 
-if (!Scorer) {
-  /**
-   * Simple result scoring code.
-   */
+/**
+ * Simple result scoring code.
+ */
+if (typeof Scorer === "undefined") {
   var Scorer = {
     // Implement the following function to further tweak the score for each result
-    // The function takes a result array [filename, title, anchor, descr, score]
+    // The function takes a result array [docname, title, anchor, descr, score, filename]
     // and returns the new score.
     /*
-    score: function(result) {
-      return result[4];
+    score: result => {
+      const [docname, title, anchor, descr, score, filename] = result
+      return score
     },
     */
 
@@ -28,9 +30,11 @@ if (!Scorer) {
     // or matches in the last dotted part of the object name
     objPartialMatch: 6,
     // Additive scores depending on the priority of the object
-    objPrio: {0:  15,   // used to be importantResults
-              1:  5,   // used to be objectResults
-              2: -5},  // used to be unimportantResults
+    objPrio: {
+      0: 15, // used to be importantResults
+      1: 5, // used to be objectResults
+      2: -5, // used to be unimportantResults
+    },
     //  Used when the priority is not in the mapping.
     objPrioDefault: 0,
 
@@ -39,452 +43,455 @@ if (!Scorer) {
     partialTitle: 7,
     // query found in terms
     term: 5,
-    partialTerm: 2
+    partialTerm: 2,
   };
 }
 
-if (!splitQuery) {
-  function splitQuery(query) {
-    return query.split(/\s+/);
+const _removeChildren = (element) => {
+  while (element && element.lastChild) element.removeChild(element.lastChild);
+};
+
+/**
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping
+ */
+const _escapeRegExp = (string) =>
+  string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
+
+const _displayItem = (item, highlightTerms, searchTerms) => {
+  const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
+  const docUrlRoot = DOCUMENTATION_OPTIONS.URL_ROOT;
+  const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+  const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+  const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+
+  const [docName, title, anchor, descr] = item;
+
+  let listItem = document.createElement("li");
+  let requestUrl;
+  let linkUrl;
+  if (docBuilder === "dirhtml") {
+    // dirhtml builder
+    let dirname = docName + "/";
+    if (dirname.match(/\/index\/$/))
+      dirname = dirname.substring(0, dirname.length - 6);
+    else if (dirname === "index/") dirname = "";
+    requestUrl = docUrlRoot + dirname;
+    linkUrl = requestUrl;
+  } else {
+    // normal html builders
+    requestUrl = docUrlRoot + docName + docFileSuffix;
+    linkUrl = docName + docLinkSuffix;
+  }
+  const params = new URLSearchParams();
+  params.set("highlight", [...highlightTerms].join(" "));
+  let linkEl = listItem.appendChild(document.createElement("a"));
+  linkEl.href = linkUrl + "?" + params.toString() + anchor;
+  linkEl.innerHTML = title;
+  if (descr)
+    listItem.appendChild(document.createElement("span")).innerText =
+      " (" + descr + ")";
+  else if (showSearchSummary)
+    fetch(requestUrl)
+      .then((responseData) => responseData.text())
+      .then((data) => {
+        if (data)
+          listItem.appendChild(
+            Search.makeSearchSummary(data, searchTerms, highlightTerms)
+          );
+      });
+  Search.output.appendChild(listItem);
+};
+const _finishSearch = (resultCount) => {
+  Search.stopPulse();
+  Search.title.innerText = _("Search Results");
+  if (!resultCount)
+    Search.status.innerText = Documentation.gettext(
+      "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories."
+    );
+  else
+    Search.status.innerText = _(
+      `Search finished, found ${resultCount} page(s) matching the search query.`
+    );
+};
+const _displayNextItem = (
+  results,
+  resultCount,
+  highlightTerms,
+  searchTerms
+) => {
+  // results left, load the summary and display it
+  // this is intended to be dynamic (don't sub resultsCount)
+  if (results.length) {
+    _displayItem(results.pop(), highlightTerms, searchTerms);
+    setTimeout(
+      () => _displayNextItem(results, resultCount, highlightTerms, searchTerms),
+      5
+    );
   }
+  // search finished, update title and status message
+  else _finishSearch(resultCount);
+};
+
+/**
+ * Default splitQuery function. Can be overridden in ``sphinx.search`` with a
+ * custom function per language.
+ *
+ * The regular expression works by splitting the string on consecutive characters
+ * that are not Unicode letters, numbers, underscores, or emoji characters.
+ * This is the same as ``\W+`` in Python, preserving the surrogate pair area.
+ */
+if (typeof splitQuery === "undefined") {
+  var splitQuery = (query) => query
+      .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu)
+      .filter(term => term)  // remove remaining empty strings
 }
 
 /**
  * Search Module
  */
-var Search = {
-
-  _index : null,
-  _queued_query : null,
-  _pulse_status : -1,
-
-  htmlToText : function(htmlString) {
-      var virtualDocument = document.implementation.createHTMLDocument('virtual');
-      var htmlElement = $(htmlString, virtualDocument);
-      htmlElement.find('.headerlink').remove();
-      docContent = htmlElement.find('[role=main]')[0];
-      if(docContent === undefined) {
-          console.warn("Content block not found. Sphinx search tries to obtain it " +
-                       "via '[role=main]'. Could you check your theme or template.");
-          return "";
-      }
-      return docContent.textContent || docContent.innerText;
+const Search = {
+  _index: null,
+  _queued_query: null,
+  _pulse_status: -1,
+
+  htmlToText: (htmlString) => {
+    const htmlElement = document
+      .createRange()
+      .createContextualFragment(htmlString);
+    _removeChildren(htmlElement.querySelectorAll(".headerlink"));
+    const docContent = htmlElement.querySelector('[role="main"]');
+    if (docContent !== undefined) return docContent.textContent;
+    console.warn(
+      "Content block not found. Sphinx search tries to obtain it via '[role=main]'. Could you check your theme or template."
+    );
+    return "";
   },
 
-  init : function() {
-      var params = $.getQueryParameters();
-      if (params.q) {
-          var query = params.q[0];
-          $('input[name="q"]')[0].value = query;
-          this.performSearch(query);
-      }
+  init: () => {
+    const query = new URLSearchParams(window.location.search).get("q");
+    document
+      .querySelectorAll('input[name="q"]')
+      .forEach((el) => (el.value = query));
+    if (query) Search.performSearch(query);
   },
 
-  loadIndex : function(url) {
-    $.ajax({type: "GET", url: url, data: null,
-            dataType: "script", cache: true,
-            complete: function(jqxhr, textstatus) {
-              if (textstatus != "success") {
-                document.getElementById("searchindexloader").src = url;
-              }
-            }});
-  },
+  loadIndex: (url) =>
+    (document.body.appendChild(document.createElement("script")).src = url),
 
-  setIndex : function(index) {
-    var q;
-    this._index = index;
-    if ((q = this._queued_query) !== null) {
-      this._queued_query = null;
-      Search.query(q);
+  setIndex: (index) => {
+    Search._index = index;
+    if (Search._queued_query !== null) {
+      const query = Search._queued_query;
+      Search._queued_query = null;
+      Search.query(query);
     }
   },
 
-  hasIndex : function() {
-      return this._index !== null;
-  },
+  hasIndex: () => Search._index !== null,
 
-  deferQuery : function(query) {
-      this._queued_query = query;
-  },
+  deferQuery: (query) => (Search._queued_query = query),
 
-  stopPulse : function() {
-      this._pulse_status = 0;
-  },
+  stopPulse: () => (Search._pulse_status = -1),
 
-  startPulse : function() {
-    if (this._pulse_status >= 0)
-        return;
-    function pulse() {
-      var i;
+  startPulse: () => {
+    if (Search._pulse_status >= 0) return;
+
+    const pulse = () => {
       Search._pulse_status = (Search._pulse_status + 1) % 4;
-      var dotString = '';
-      for (i = 0; i < Search._pulse_status; i++)
-        dotString += '.';
-      Search.dots.text(dotString);
-      if (Search._pulse_status > -1)
-        window.setTimeout(pulse, 500);
-    }
+      Search.dots.innerText = ".".repeat(Search._pulse_status);
+      if (Search._pulse_status >= 0) window.setTimeout(pulse, 500);
+    };
     pulse();
   },
 
   /**
    * perform a search for something (or wait until index is loaded)
    */
-  performSearch : function(query) {
+  performSearch: (query) => {
     // create the required interface elements
-    this.out = $('#search-results');
-    this.title = $('<h2>' + _('Searching') + '</h2>').appendTo(this.out);
-    this.dots = $('<span></span>').appendTo(this.title);
-    this.status = $('<p class="search-summary">&nbsp;</p>').appendTo(this.out);
-    this.output = $('<ul class="search"/>').appendTo(this.out);
-
-    $('#search-progress').text(_('Preparing search...'));
-    this.startPulse();
+    const searchText = document.createElement("h2");
+    searchText.textContent = _("Searching");
+    const searchSummary = document.createElement("p");
+    searchSummary.classList.add("search-summary");
+    searchSummary.innerText = "";
+    const searchList = document.createElement("ul");
+    searchList.classList.add("search");
+
+    const out = document.getElementById("search-results");
+    Search.title = out.appendChild(searchText);
+    Search.dots = Search.title.appendChild(document.createElement("span"));
+    Search.status = out.appendChild(searchSummary);
+    Search.output = out.appendChild(searchList);
+
+    const searchProgress = document.getElementById("search-progress");
+    // Some themes don't use the search progress node
+    if (searchProgress) {
+      searchProgress.innerText = _("Preparing search...");
+    }
+    Search.startPulse();
 
     // index already loaded, the browser was quick!
-    if (this.hasIndex())
-      this.query(query);
-    else
-      this.deferQuery(query);
+    if (Search.hasIndex()) Search.query(query);
+    else Search.deferQuery(query);
   },
 
   /**
    * execute search (requires search index to be loaded)
    */
-  query : function(query) {
-    var i;
-
-    // stem the searchterms and add them to the correct list
-    var stemmer = new Stemmer();
-    var searchterms = [];
-    var excluded = [];
-    var hlterms = [];
-    var tmp = splitQuery(query);
-    var objectterms = [];
-    for (i = 0; i < tmp.length; i++) {
-      if (tmp[i] !== "") {
-          objectterms.push(tmp[i].toLowerCase());
-      }
+  query: (query) => {
+    // stem the search terms and add them to the correct list
+    const stemmer = new Stemmer();
+    const searchTerms = new Set();
+    const excludedTerms = new Set();
+    const highlightTerms = new Set();
+    const objectTerms = new Set(splitQuery(query.toLowerCase().trim()));
+    splitQuery(query.trim()).forEach((queryTerm) => {
+      const queryTermLower = queryTerm.toLowerCase();
+
+      // maybe skip this "word"
+      // stopwords array is from language_data.js
+      if (
+        stopwords.indexOf(queryTermLower) !== -1 ||
+        queryTerm.match(/^\d+$/)
+      )
+        return;
 
-      if ($u.indexOf(stopwords, tmp[i].toLowerCase()) != -1 || tmp[i] === "") {
-        // skip this "word"
-        continue;
-      }
       // stem the word
-      var word = stemmer.stemWord(tmp[i].toLowerCase());
-      var toAppend;
+      let word = stemmer.stemWord(queryTermLower);
       // select the correct list
-      if (word[0] == '-') {
-        toAppend = excluded;
-        word = word.substr(1);
-      }
+      if (word[0] === "-") excludedTerms.add(word.substr(1));
       else {
-        toAppend = searchterms;
-        hlterms.push(tmp[i].toLowerCase());
+        searchTerms.add(word);
+        highlightTerms.add(queryTermLower);
       }
-      // only add if not already in the list
-      if (!$u.contains(toAppend, word))
-        toAppend.push(word);
-    }
-    var highlightstring = '?highlight=' + $.urlencode(hlterms.join(" "));
-
-    // console.debug('SEARCH: searching for:');
-    // console.info('required: ', searchterms);
-    // console.info('excluded: ', excluded);
+    });
 
-    // prepare search
-    var terms = this._index.terms;
-    var titleterms = this._index.titleterms;
+    // console.debug("SEARCH: searching for:");
+    // console.info("required: ", [...searchTerms]);
+    // console.info("excluded: ", [...excludedTerms]);
 
-    // array of [filename, title, anchor, descr, score]
-    var results = [];
-    $('#search-progress').empty();
+    // array of [docname, title, anchor, descr, score, filename]
+    let results = [];
+    _removeChildren(document.getElementById("search-progress"));
 
     // lookup as object
-    for (i = 0; i < objectterms.length; i++) {
-      var others = [].concat(objectterms.slice(0, i),
-                             objectterms.slice(i+1, objectterms.length));
-      results = results.concat(this.performObjectSearch(objectterms[i], others));
-    }
+    objectTerms.forEach((term) =>
+      results.push(...Search.performObjectSearch(term, objectTerms))
+    );
 
     // lookup as search terms in fulltext
-    results = results.concat(this.performTermsSearch(searchterms, excluded, terms, titleterms));
+    results.push(...Search.performTermsSearch(searchTerms, excludedTerms));
 
     // let the scorer override scores with a custom scoring function
-    if (Scorer.score) {
-      for (i = 0; i < results.length; i++)
-        results[i][4] = Scorer.score(results[i]);
-    }
+    if (Scorer.score) results.forEach((item) => (item[4] = Scorer.score(item)));
 
     // now sort the results by score (in opposite order of appearance, since the
     // display function below uses pop() to retrieve items) and then
     // alphabetically
-    results.sort(function(a, b) {
-      var left = a[4];
-      var right = b[4];
-      if (left > right) {
-        return 1;
-      } else if (left < right) {
-        return -1;
-      } else {
+    results.sort((a, b) => {
+      const leftScore = a[4];
+      const rightScore = b[4];
+      if (leftScore === rightScore) {
         // same score: sort alphabetically
-        left = a[1].toLowerCase();
-        right = b[1].toLowerCase();
-        return (left > right) ? -1 : ((left < right) ? 1 : 0);
+        const leftTitle = a[1].toLowerCase();
+        const rightTitle = b[1].toLowerCase();
+        if (leftTitle === rightTitle) return 0;
+        return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
       }
+      return leftScore > rightScore ? 1 : -1;
     });
 
+    // remove duplicate search results
+    // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
+    let seen = new Set();
+    results = results.reverse().reduce((acc, result) => {
+      let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(',');
+      if (!seen.has(resultStr)) {
+        acc.push(result);
+        seen.add(resultStr);
+      }
+      return acc;
+    }, []);
+
+    results = results.reverse();
+
     // for debugging
     //Search.lastresults = results.slice();  // a copy
-    //console.info('search results:', Search.lastresults);
+    // console.info("search results:", Search.lastresults);
 
     // print the results
-    var resultCount = results.length;
-    function displayNextItem() {
-      // results left, load the summary and display it
-      if (results.length) {
-        var item = results.pop();
-        var listItem = $('<li></li>');
-        var requestUrl = "";
-        var linkUrl = "";
-        if (DOCUMENTATION_OPTIONS.BUILDER === 'dirhtml') {
-          // dirhtml builder
-          var dirname = item[0] + '/';
-          if (dirname.match(/\/index\/$/)) {
-            dirname = dirname.substring(0, dirname.length-6);
-          } else if (dirname == 'index/') {
-            dirname = '';
-          }
-          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + dirname;
-          linkUrl = requestUrl;
-
-        } else {
-          // normal html builders
-          requestUrl = DOCUMENTATION_OPTIONS.URL_ROOT + item[0] + DOCUMENTATION_OPTIONS.FILE_SUFFIX;
-          linkUrl = item[0] + DOCUMENTATION_OPTIONS.LINK_SUFFIX;
-        }
-        listItem.append($('<a/>').attr('href',
-            linkUrl +
-            highlightstring + item[2]).html(item[1]));
-        if (item[3]) {
-          listItem.append($('<span> (' + item[3] + ')</span>'));
-          Search.output.append(listItem);
-          setTimeout(function() {
-            displayNextItem();
-          }, 5);
-        } else if (DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY) {
-          $.ajax({url: requestUrl,
-                  dataType: "text",
-                  complete: function(jqxhr, textstatus) {
-                    var data = jqxhr.responseText;
-                    if (data !== '' && data !== undefined) {
-                      var summary = Search.makeSearchSummary(data, searchterms, hlterms);
-                      if (summary) {
-                        listItem.append(summary);
-                      }
-                    }
-                    Search.output.append(listItem);
-                    setTimeout(function() {
-                      displayNextItem();
-                    }, 5);
-                  }});
-        } else {
-          // just display title
-          Search.output.append(listItem);
-          setTimeout(function() {
-            displayNextItem();
-          }, 5);
-        }
-      }
-      // search finished, update title and status message
-      else {
-        Search.stopPulse();
-        Search.title.text(_('Search Results'));
-        if (!resultCount)
-          Search.status.text(_('Your search did not match any documents. Please make sure that all words are spelled correctly and that you\'ve selected enough categories.'));
-        else
-            Search.status.text(_('Search finished, found %s page(s) matching the search query.').replace('%s', resultCount));
-        Search.status.fadeIn(500);
-      }
-    }
-    displayNextItem();
+    _displayNextItem(results, results.length, highlightTerms, searchTerms);
   },
 
   /**
    * search for object names
    */
-  performObjectSearch : function(object, otherterms) {
-    var filenames = this._index.filenames;
-    var docnames = this._index.docnames;
-    var objects = this._index.objects;
-    var objnames = this._index.objnames;
-    var titles = this._index.titles;
-
-    var i;
-    var results = [];
-
-    for (var prefix in objects) {
-      for (var iMatch = 0; iMatch != objects[prefix].length; ++iMatch) {
-        var match = objects[prefix][iMatch];
-        var name = match[4];
-        var fullname = (prefix ? prefix + '.' : '') + name;
-        var fullnameLower = fullname.toLowerCase()
-        if (fullnameLower.indexOf(object) > -1) {
-          var score = 0;
-          var parts = fullnameLower.split('.');
-          // check for different match types: exact matches of full name or
-          // "last name" (i.e. last dotted part)
-          if (fullnameLower == object || parts[parts.length - 1] == object) {
-            score += Scorer.objNameMatch;
-          // matches in last name
-          } else if (parts[parts.length - 1].indexOf(object) > -1) {
-            score += Scorer.objPartialMatch;
-          }
-          var objname = objnames[match[1]][2];
-          var title = titles[match[0]];
-          // If more than one term searched for, we require other words to be
-          // found in the name/title/description
-          if (otherterms.length > 0) {
-            var haystack = (prefix + ' ' + name + ' ' +
-                            objname + ' ' + title).toLowerCase();
-            var allfound = true;
-            for (i = 0; i < otherterms.length; i++) {
-              if (haystack.indexOf(otherterms[i]) == -1) {
-                allfound = false;
-                break;
-              }
-            }
-            if (!allfound) {
-              continue;
-            }
-          }
-          var descr = objname + _(', in ') + title;
-
-          var anchor = match[3];
-          if (anchor === '')
-            anchor = fullname;
-          else if (anchor == '-')
-            anchor = objnames[match[1]][1] + '-' + fullname;
-          // add custom score for some objects according to scorer
-          if (Scorer.objPrio.hasOwnProperty(match[2])) {
-            score += Scorer.objPrio[match[2]];
-          } else {
-            score += Scorer.objPrioDefault;
-          }
-          results.push([docnames[match[0]], fullname, '#'+anchor, descr, score, filenames[match[0]]]);
-        }
+  performObjectSearch: (object, objectTerms) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const objects = Search._index.objects;
+    const objNames = Search._index.objnames;
+    const titles = Search._index.titles;
+
+    const results = [];
+
+    const objectSearchCallback = (prefix, match) => {
+      const name = match[4]
+      const fullname = (prefix ? prefix + "." : "") + name;
+      const fullnameLower = fullname.toLowerCase();
+      if (fullnameLower.indexOf(object) < 0) return;
+
+      let score = 0;
+      const parts = fullnameLower.split(".");
+
+      // check for different match types: exact matches of full name or
+      // "last name" (i.e. last dotted part)
+      if (fullnameLower === object || parts.slice(-1)[0] === object)
+        score += Scorer.objNameMatch;
+      else if (parts.slice(-1)[0].indexOf(object) > -1)
+        score += Scorer.objPartialMatch; // matches in last name
+
+      const objName = objNames[match[1]][2];
+      const title = titles[match[0]];
+
+      // If more than one term searched for, we require other words to be
+      // found in the name/title/description
+      const otherTerms = new Set(objectTerms);
+      otherTerms.delete(object);
+      if (otherTerms.size > 0) {
+        const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase();
+        if (
+          [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0)
+        )
+          return;
       }
-    }
 
+      let anchor = match[3];
+      if (anchor === "") anchor = fullname;
+      else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname;
+
+      const descr = objName + _(", in ") + title;
+
+      // add custom score for some objects according to scorer
+      if (Scorer.objPrio.hasOwnProperty(match[2]))
+        score += Scorer.objPrio[match[2]];
+      else score += Scorer.objPrioDefault;
+
+      results.push([
+        docNames[match[0]],
+        fullname,
+        "#" + anchor,
+        descr,
+        score,
+        filenames[match[0]],
+      ]);
+    };
+    Object.keys(objects).forEach((prefix) =>
+      objects[prefix].forEach((array) =>
+        objectSearchCallback(prefix, array)
+      )
+    );
     return results;
   },
 
-  /**
-   * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions
-   */
-  escapeRegExp : function(string) {
-    return string.replace(/[.*+\-?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
-  },
-
   /**
    * search for full-text terms in the index
    */
-  performTermsSearch : function(searchterms, excluded, terms, titleterms) {
-    var docnames = this._index.docnames;
-    var filenames = this._index.filenames;
-    var titles = this._index.titles;
+  performTermsSearch: (searchTerms, excludedTerms) => {
+    // prepare search
+    const terms = Search._index.terms;
+    const titleTerms = Search._index.titleterms;
+    const docNames = Search._index.docnames;
+    const filenames = Search._index.filenames;
+    const titles = Search._index.titles;
 
-    var i, j, file;
-    var fileMap = {};
-    var scoreMap = {};
-    var results = [];
+    const scoreMap = new Map();
+    const fileMap = new Map();
 
     // perform the search on the required terms
-    for (i = 0; i < searchterms.length; i++) {
-      var word = searchterms[i];
-      var files = [];
-      var _o = [
-        {files: terms[word], score: Scorer.term},
-        {files: titleterms[word], score: Scorer.title}
+    searchTerms.forEach((word) => {
+      const files = [];
+      const arr = [
+        { files: terms[word], score: Scorer.term },
+        { files: titleTerms[word], score: Scorer.title },
       ];
       // add support for partial matches
       if (word.length > 2) {
-        var word_regex = this.escapeRegExp(word);
-        for (var w in terms) {
-          if (w.match(word_regex) && !terms[word]) {
-            _o.push({files: terms[w], score: Scorer.partialTerm})
-          }
-        }
-        for (var w in titleterms) {
-          if (w.match(word_regex) && !titleterms[word]) {
-              _o.push({files: titleterms[w], score: Scorer.partialTitle})
-          }
-        }
+        const escapedWord = _escapeRegExp(word);
+        Object.keys(terms).forEach((term) => {
+          if (term.match(escapedWord) && !terms[word])
+            arr.push({ files: terms[term], score: Scorer.partialTerm });
+        });
+        Object.keys(titleTerms).forEach((term) => {
+          if (term.match(escapedWord) && !titleTerms[word])
+            arr.push({ files: titleTerms[word], score: Scorer.partialTitle });
+        });
       }
 
       // no match but word was a required one
-      if ($u.every(_o, function(o){return o.files === undefined;})) {
-        break;
-      }
+      if (arr.every((record) => record.files === undefined)) return;
+
       // found search word in contents
-      $u.each(_o, function(o) {
-        var _files = o.files;
-        if (_files === undefined)
-          return
-
-        if (_files.length === undefined)
-          _files = [_files];
-        files = files.concat(_files);
-
-        // set score for the word in each file to Scorer.term
-        for (j = 0; j < _files.length; j++) {
-          file = _files[j];
-          if (!(file in scoreMap))
-            scoreMap[file] = {};
-          scoreMap[file][word] = o.score;
-        }
+      arr.forEach((record) => {
+        if (record.files === undefined) return;
+
+        let recordFiles = record.files;
+        if (recordFiles.length === undefined) recordFiles = [recordFiles];
+        files.push(...recordFiles);
+
+        // set score for the word in each file
+        recordFiles.forEach((file) => {
+          if (!scoreMap.has(file)) scoreMap.set(file, {});
+          scoreMap.get(file)[word] = record.score;
+        });
       });
 
       // create the mapping
-      for (j = 0; j < files.length; j++) {
-        file = files[j];
-        if (file in fileMap && fileMap[file].indexOf(word) === -1)
-          fileMap[file].push(word);
-        else
-          fileMap[file] = [word];
-      }
-    }
+      files.forEach((file) => {
+        if (fileMap.has(file) && fileMap.get(file).indexOf(word) === -1)
+          fileMap.get(file).push(word);
+        else fileMap.set(file, [word]);
+      });
+    });
 
     // now check if the files don't contain excluded terms
-    for (file in fileMap) {
-      var valid = true;
-
+    const results = [];
+    for (const [file, wordList] of fileMap) {
       // check if all requirements are matched
-      var filteredTermCount = // as search terms with length < 3 are discarded: ignore
-        searchterms.filter(function(term){return term.length > 2}).length
+
+      // as search terms with length < 3 are discarded
+      const filteredTermCount = [...searchTerms].filter(
+        (term) => term.length > 2
+      ).length;
       if (
-        fileMap[file].length != searchterms.length &&
-        fileMap[file].length != filteredTermCount
-      ) continue;
+        wordList.length !== searchTerms.size &&
+        wordList.length !== filteredTermCount
+      )
+        continue;
 
       // ensure that none of the excluded terms is in the search result
-      for (i = 0; i < excluded.length; i++) {
-        if (terms[excluded[i]] == file ||
-            titleterms[excluded[i]] == file ||
-            $u.contains(terms[excluded[i]] || [], file) ||
-            $u.contains(titleterms[excluded[i]] || [], file)) {
-          valid = false;
-          break;
-        }
-      }
+      if (
+        [...excludedTerms].some(
+          (term) =>
+            terms[term] === file ||
+            titleTerms[term] === file ||
+            (terms[term] || []).includes(file) ||
+            (titleTerms[term] || []).includes(file)
+        )
+      )
+        break;
 
-      // if we have still a valid result we can add it to the result list
-      if (valid) {
-        // select one (max) score for the file.
-        // for better ranking, we should calculate ranking by using words statistics like basic tf-idf...
-        var score = $u.max($u.map(fileMap[file], function(w){return scoreMap[file][w]}));
-        results.push([docnames[file], titles[file], '', null, score, filenames[file]]);
-      }
+      // select one (max) score for the file.
+      const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w]));
+      // add result to the result list
+      results.push([
+        docNames[file],
+        titles[file],
+        "",
+        null,
+        score,
+        filenames[file],
+      ]);
     }
     return results;
   },
@@ -492,34 +499,33 @@ var Search = {
   /**
    * helper function to return a node containing the
    * search summary for a given text. keywords is a list
-   * of stemmed words, hlwords is the list of normal, unstemmed
+   * of stemmed words, highlightWords is the list of normal, unstemmed
    * words. the first one is used to find the occurrence, the
    * latter for highlighting it.
    */
-  makeSearchSummary : function(htmlText, keywords, hlwords) {
-    var text = Search.htmlToText(htmlText);
-    if (text == "") {
-      return null;
-    }
-    var textLower = text.toLowerCase();
-    var start = 0;
-    $.each(keywords, function() {
-      var i = textLower.indexOf(this.toLowerCase());
-      if (i > -1)
-        start = i;
-    });
-    start = Math.max(start - 120, 0);
-    var excerpt = ((start > 0) ? '...' : '') +
-      $.trim(text.substr(start, 240)) +
-      ((start + 240 - text.length) ? '...' : '');
-    var rv = $('<p class="context"></p>').text(excerpt);
-    $.each(hlwords, function() {
-      rv = rv.highlightText(this, 'highlighted');
-    });
-    return rv;
-  }
+  makeSearchSummary: (htmlText, keywords, highlightWords) => {
+    const text = Search.htmlToText(htmlText).toLowerCase();
+    if (text === "") return null;
+
+    const actualStartPosition = [...keywords]
+      .map((k) => text.indexOf(k.toLowerCase()))
+      .filter((i) => i > -1)
+      .slice(-1)[0];
+    const startWithContext = Math.max(actualStartPosition - 120, 0);
+
+    const top = startWithContext === 0 ? "" : "...";
+    const tail = startWithContext + 240 < text.length ? "..." : "";
+
+    let summary = document.createElement("div");
+    summary.classList.add("context");
+    summary.innerText = top + text.substr(startWithContext, 240).trim() + tail;
+
+    highlightWords.forEach((highlightWord) =>
+      _highlightText(summary, highlightWord, "highlighted")
+    );
+
+    return summary;
+  },
 };
 
-$(document).ready(function() {
-  Search.init();
-});
+_ready(Search.init);
diff --git a/_static/styles/bootstrap.css b/_static/styles/bootstrap.css
index 0aa5f54f..82b03c0c 100644
--- a/_static/styles/bootstrap.css
+++ b/_static/styles/bootstrap.css
@@ -1,6 +1,6 @@
 /*!
- * Bootstrap  v5.2.3 (https://getbootstrap.com/)
- * Copyright 2011-2022 The Bootstrap Authors
- * Copyright 2011-2022 Twitter, Inc.
+ * Bootstrap  v5.3.2 (https://getbootstrap.com/)
+ * Copyright 2011-2023 The Bootstrap Authors
  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
- */:root{--bs-blue:#0d6efd;--bs-indigo:#6610f2;--bs-purple:#6f42c1;--bs-pink:#d63384;--bs-red:#dc3545;--bs-orange:#fd7e14;--bs-yellow:#ffc107;--bs-green:#198754;--bs-teal:#20c997;--bs-cyan:#0dcaf0;--bs-black:#000;--bs-white:#fff;--bs-gray:#6c757d;--bs-gray-dark:#343a40;--bs-gray-100:#f8f9fa;--bs-gray-200:#e9ecef;--bs-gray-300:#dee2e6;--bs-gray-400:#ced4da;--bs-gray-500:#adb5bd;--bs-gray-600:#6c757d;--bs-gray-700:#495057;--bs-gray-800:#343a40;--bs-gray-900:#212529;--bs-primary:#0d6efd;--bs-secondary:#6c757d;--bs-success:#198754;--bs-info:#0dcaf0;--bs-warning:#ffc107;--bs-danger:#dc3545;--bs-light:#f8f9fa;--bs-dark:#212529;--bs-primary-rgb:13,110,253;--bs-secondary-rgb:108,117,125;--bs-success-rgb:25,135,84;--bs-info-rgb:13,202,240;--bs-warning-rgb:255,193,7;--bs-danger-rgb:220,53,69;--bs-light-rgb:248,249,250;--bs-dark-rgb:33,37,41;--bs-white-rgb:255,255,255;--bs-black-rgb:0,0,0;--bs-body-color-rgb:33,37,41;--bs-body-bg-rgb:255,255,255;--bs-font-sans-serif:system-ui,-apple-system,"Segoe UI",Roboto,"Helvetica Neue","Noto Sans","Liberation Sans",Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol","Noto Color Emoji";--bs-font-monospace:SFMono-Regular,Menlo,Monaco,Consolas,"Liberation Mono","Courier New",monospace;--bs-gradient:linear-gradient(180deg,hsla(0,0%,100%,.15),hsla(0,0%,100%,0));--bs-body-font-family:var(--bs-font-sans-serif);--bs-body-font-size:1rem;--bs-body-font-weight:400;--bs-body-line-height:1.5;--bs-body-color:#212529;--bs-body-bg:#fff;--bs-border-width:1px;--bs-border-style:solid;--bs-border-color:#dee2e6;--bs-border-color-translucent:rgba(0,0,0,.175);--bs-border-radius:0.375rem;--bs-border-radius-sm:0.25rem;--bs-border-radius-lg:0.5rem;--bs-border-radius-xl:1rem;--bs-border-radius-2xl:2rem;--bs-border-radius-pill:50rem;--bs-link-color:#0d6efd;--bs-link-hover-color:#0a58ca;--bs-code-color:#d63384;--bs-highlight-bg:#fff3cd}*,:after,:before{box-sizing:border-box}@media(prefers-reduced-motion:no-preference){:root{scroll-behavior:smooth}}body{-webkit-text-size-adjust:100%;-webkit-tap-highlight-color:rgba(0,0,0,0);background-color:var(--bs-body-bg);color:var(--bs-body-color);font-family:var(--bs-body-font-family);font-size:var(--bs-body-font-size);font-weight:var(--bs-body-font-weight);line-height:var(--bs-body-line-height);margin:0;text-align:var(--bs-body-text-align)}hr{border:0;border-top:1px solid;color:inherit;margin:1rem 0;opacity:.25}.h1,.h2,.h3,.h4,.h5,.h6,h1,h2,h3,h4,h5,h6{font-weight:500;line-height:1.2;margin-bottom:.5rem;margin-top:0}.h1,h1{font-size:calc(1.375rem + 1.5vw)}@media(min-width:1200px){.h1,h1{font-size:2.5rem}}.h2,h2{font-size:calc(1.325rem + .9vw)}@media(min-width:1200px){.h2,h2{font-size:2rem}}.h3,h3{font-size:calc(1.3rem + .6vw)}@media(min-width:1200px){.h3,h3{font-size:1.75rem}}.h4,h4{font-size:calc(1.275rem + .3vw)}@media(min-width:1200px){.h4,h4{font-size:1.5rem}}.h5,h5{font-size:1.25rem}.h6,h6{font-size:1rem}p{margin-bottom:1rem;margin-top:0}abbr[title]{cursor:help;text-decoration:underline dotted;text-decoration-skip-ink:none}address{font-style:normal;line-height:inherit;margin-bottom:1rem}ol,ul{padding-left:2rem}dl,ol,ul{margin-bottom:1rem;margin-top:0}ol ol,ol ul,ul ol,ul ul{margin-bottom:0}dt{font-weight:700}dd{margin-bottom:.5rem;margin-left:0}blockquote{margin:0 0 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var(--bs-breadcrumb-padding-x)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item:before{color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider,"/");float:left;padding-right:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x:0.75rem;--bs-pagination-padding-y:0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color:var(--bs-link-color);--bs-pagination-bg:#fff;--bs-pagination-border-width:1px;--bs-pagination-border-color:#dee2e6;--bs-pagination-border-radius:0.375rem;--bs-pagination-hover-color:var(--bs-link-hover-color);--bs-pagination-hover-bg:#e9ecef;--bs-pagination-hover-border-color:#dee2e6;--bs-pagination-focus-color:var(--bs-link-hover-color);--bs-pagination-focus-bg:#e9ecef;--bs-pagination-focus-box-shadow:0 0 0 0.25rem 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var(--bs-breadcrumb-padding-x)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item:before{color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider,"/");float:left;padding-right:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x:0.75rem;--bs-pagination-padding-y:0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color:var(--bs-link-color);--bs-pagination-bg:var(--bs-body-bg);--bs-pagination-border-width:var(--bs-border-width);--bs-pagination-border-color:var(--bs-border-color);--bs-pagination-border-radius:var(--bs-border-radius);--bs-pagination-hover-color:var(--bs-link-hover-color);--bs-pagination-hover-bg:var(--bs-tertiary-bg);--bs-pagination-hover-border-color:var(--bs-border-color);--bs-pagination-focus-color:var(--bs-link-hover-color);--bs-pagination-focus-bg:var(--bs-secondary-bg);--bs-pagination-focus-box-shadow:0 0 0 0.25rem rgba(13,110,253,.25);--bs-pagination-active-color:#fff;--bs-pagination-active-bg:#0d6efd;--bs-pagination-active-border-color:#0d6efd;--bs-pagination-disabled-color:var(--bs-secondary-color);--bs-pagination-disabled-bg:var(--bs-secondary-bg);--bs-pagination-disabled-border-color:var(--bs-border-color);display:flex;list-style:none;padding-left:0}.page-link{background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);color:var(--bs-pagination-color);display:block;font-size:var(--bs-pagination-font-size);padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);position:relative;text-decoration:none;transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s 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var(--bs-list-group-item-padding-x);position:relative;text-decoration:none}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-left-radius:inherit;border-bottom-right-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{background-color:var(--bs-list-group-disabled-bg);color:var(--bs-list-group-disabled-color);pointer-events:none}.list-group-item.active{background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color);color:var(--bs-list-group-active-color);z-index:2}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{border-top-width:var(--bs-list-group-border-width);margin-top:calc(var(--bs-list-group-border-width)*-1)}.list-group-horizontal{flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}@media(min-width:540px){.list-group-horizontal-sm{flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media(min-width:720px){.list-group-horizontal-md{flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-md>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media(min-width:960px){.list-group-horizontal-lg{flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}@media(min-width:1200px){.list-group-horizontal-xl{flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-bottom-left-radius:0;border-top-right-radius:var(--bs-list-group-border-radius)}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-left-width:0;border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{border-left-width:var(--bs-list-group-border-width);margin-left:calc(var(--bs-list-group-border-width)*-1)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{--bs-list-group-color:var(--bs-primary-text-emphasis);--bs-list-group-bg:var(--bs-primary-bg-subtle);--bs-list-group-border-color:var(--bs-primary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-primary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-primary-border-subtle);--bs-list-group-active-color:var(--bs-primary-bg-subtle);--bs-list-group-active-bg:var(--bs-primary-text-emphasis);--bs-list-group-active-border-color:var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color:var(--bs-secondary-text-emphasis);--bs-list-group-bg:var(--bs-secondary-bg-subtle);--bs-list-group-border-color:var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-secondary-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-secondary-border-subtle);--bs-list-group-active-color:var(--bs-secondary-bg-subtle);--bs-list-group-active-bg:var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color:var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color:var(--bs-success-text-emphasis);--bs-list-group-bg:var(--bs-success-bg-subtle);--bs-list-group-border-color:var(--bs-success-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-success-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-success-border-subtle);--bs-list-group-active-color:var(--bs-success-bg-subtle);--bs-list-group-active-bg:var(--bs-success-text-emphasis);--bs-list-group-active-border-color:var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color:var(--bs-info-text-emphasis);--bs-list-group-bg:var(--bs-info-bg-subtle);--bs-list-group-border-color:var(--bs-info-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-info-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-info-border-subtle);--bs-list-group-active-color:var(--bs-info-bg-subtle);--bs-list-group-active-bg:var(--bs-info-text-emphasis);--bs-list-group-active-border-color:var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color:var(--bs-warning-text-emphasis);--bs-list-group-bg:var(--bs-warning-bg-subtle);--bs-list-group-border-color:var(--bs-warning-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-warning-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-warning-border-subtle);--bs-list-group-active-color:var(--bs-warning-bg-subtle);--bs-list-group-active-bg:var(--bs-warning-text-emphasis);--bs-list-group-active-border-color:var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color:var(--bs-danger-text-emphasis);--bs-list-group-bg:var(--bs-danger-bg-subtle);--bs-list-group-border-color:var(--bs-danger-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-danger-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-danger-border-subtle);--bs-list-group-active-color:var(--bs-danger-bg-subtle);--bs-list-group-active-bg:var(--bs-danger-text-emphasis);--bs-list-group-active-border-color:var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color:var(--bs-light-text-emphasis);--bs-list-group-bg:var(--bs-light-bg-subtle);--bs-list-group-border-color:var(--bs-light-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-light-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-light-border-subtle);--bs-list-group-active-color:var(--bs-light-bg-subtle);--bs-list-group-active-bg:var(--bs-light-text-emphasis);--bs-list-group-active-border-color:var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color:var(--bs-dark-text-emphasis);--bs-list-group-bg:var(--bs-dark-bg-subtle);--bs-list-group-border-color:var(--bs-dark-border-subtle);--bs-list-group-action-hover-color:var(--bs-emphasis-color);--bs-list-group-action-hover-bg:var(--bs-dark-border-subtle);--bs-list-group-action-active-color:var(--bs-emphasis-color);--bs-list-group-action-active-bg:var(--bs-dark-border-subtle);--bs-list-group-active-color:var(--bs-dark-bg-subtle);--bs-list-group-active-bg:var(--bs-dark-text-emphasis);--bs-list-group-active-border-color:var(--bs-dark-text-emphasis)}.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0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:rgba(0,0,0,0)}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:0.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: var(--pst-color-surface);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: var(--pst-color-surface);--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;flex-wrap:wrap;justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width)*-1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n+3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;align-items:flex-start;justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width)*-1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: 0.5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: 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1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: 0.5rem;--bs-navbar-toggler-padding-y: 0.25rem;--bs-navbar-toggler-padding-x: 0.75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833, 37, 41, 0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: 0.25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;flex-wrap:wrap;align-items:center;justify-content:space-between;padding:var(--bs-navbar-padding-y) 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.offcanvas-body{display:flex;flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme=dark]{--bs-navbar-color: rgba(255, 255, 255, 0.55);--bs-navbar-hover-color: rgba(255, 255, 255, 0.75);--bs-navbar-disabled-color: rgba(255, 255, 255, 0.25);--bs-navbar-active-color: #fff;--bs-navbar-brand-color: #fff;--bs-navbar-brand-hover-color: #fff;--bs-navbar-toggler-border-color: rgba(255, 255, 255, 0.1);--bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\")}[data-bs-theme=dark] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255, 255, 255, 0.55%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e\")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: 0.5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: 0.5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: 0.75rem;position:relative;display:flex;flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-0.5*var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius)}.card-header-tabs{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-bottom:calc(-1*var(--bs-card-cap-padding-y));margin-left:calc(-0.5*var(--bs-card-cap-padding-x));border-bottom:0}.card-header-tabs .nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-left:calc(-0.5*var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media(min-width: 540px){.card-group{display:flex;flex-flow:row wrap}.card-group>.card{flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out, border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media(prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1*var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:\"\";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\");--bs-accordion-btn-active-icon: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e\")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: 0.5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, \"/\") /* rtl: var(--bs-breadcrumb-divider, \"/\") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width)*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;flex-direction:column;justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: 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var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 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960px){.list-group-horizontal-lg{flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e\");--bs-btn-close-opacity: 0.5;--bs-btn-close-hover-opacity: 0.75;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto 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calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: 0.5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform .3s ease-out;transform:translate(0, -50px)}@media(prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static 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!important}.pt-lg-0{padding-top:0 !important}.pt-lg-1{padding-top:.25rem !important}.pt-lg-2{padding-top:.5rem !important}.pt-lg-3{padding-top:1rem !important}.pt-lg-4{padding-top:1.5rem !important}.pt-lg-5{padding-top:3rem !important}.pe-lg-0{padding-right:0 !important}.pe-lg-1{padding-right:.25rem !important}.pe-lg-2{padding-right:.5rem !important}.pe-lg-3{padding-right:1rem !important}.pe-lg-4{padding-right:1.5rem !important}.pe-lg-5{padding-right:3rem !important}.pb-lg-0{padding-bottom:0 !important}.pb-lg-1{padding-bottom:.25rem !important}.pb-lg-2{padding-bottom:.5rem !important}.pb-lg-3{padding-bottom:1rem !important}.pb-lg-4{padding-bottom:1.5rem !important}.pb-lg-5{padding-bottom:3rem !important}.ps-lg-0{padding-left:0 !important}.ps-lg-1{padding-left:.25rem !important}.ps-lg-2{padding-left:.5rem !important}.ps-lg-3{padding-left:1rem !important}.ps-lg-4{padding-left:1.5rem !important}.ps-lg-5{padding-left:3rem !important}.gap-lg-0{gap:0 !important}.gap-lg-1{gap:.25rem !important}.gap-lg-2{gap:.5rem !important}.gap-lg-3{gap:1rem !important}.gap-lg-4{gap:1.5rem !important}.gap-lg-5{gap:3rem !important}.row-gap-lg-0{row-gap:0 !important}.row-gap-lg-1{row-gap:.25rem !important}.row-gap-lg-2{row-gap:.5rem !important}.row-gap-lg-3{row-gap:1rem !important}.row-gap-lg-4{row-gap:1.5rem !important}.row-gap-lg-5{row-gap:3rem !important}.column-gap-lg-0{column-gap:0 !important}.column-gap-lg-1{column-gap:.25rem !important}.column-gap-lg-2{column-gap:.5rem !important}.column-gap-lg-3{column-gap:1rem !important}.column-gap-lg-4{column-gap:1.5rem !important}.column-gap-lg-5{column-gap:3rem !important}.text-lg-start{text-align:left !important}.text-lg-end{text-align:right !important}.text-lg-center{text-align:center !important}}@media(min-width: 1200px){.float-xl-start{float:left !important}.float-xl-end{float:right !important}.float-xl-none{float:none !important}.object-fit-xl-contain{object-fit:contain !important}.object-fit-xl-cover{object-fit:cover !important}.object-fit-xl-fill{object-fit:fill !important}.object-fit-xl-scale{object-fit:scale-down !important}.object-fit-xl-none{object-fit:none !important}.d-xl-inline{display:inline !important}.d-xl-inline-block{display:inline-block !important}.d-xl-block{display:block !important}.d-xl-grid{display:grid !important}.d-xl-inline-grid{display:inline-grid !important}.d-xl-table{display:table !important}.d-xl-table-row{display:table-row !important}.d-xl-table-cell{display:table-cell !important}.d-xl-flex{display:flex !important}.d-xl-inline-flex{display:inline-flex !important}.d-xl-none{display:none !important}.flex-xl-fill{flex:1 1 auto !important}.flex-xl-row{flex-direction:row !important}.flex-xl-column{flex-direction:column !important}.flex-xl-row-reverse{flex-direction:row-reverse !important}.flex-xl-column-reverse{flex-direction:column-reverse !important}.flex-xl-grow-0{flex-grow:0 !important}.flex-xl-grow-1{flex-grow:1 !important}.flex-xl-shrink-0{flex-shrink:0 !important}.flex-xl-shrink-1{flex-shrink:1 !important}.flex-xl-wrap{flex-wrap:wrap !important}.flex-xl-nowrap{flex-wrap:nowrap !important}.flex-xl-wrap-reverse{flex-wrap:wrap-reverse !important}.justify-content-xl-start{justify-content:flex-start !important}.justify-content-xl-end{justify-content:flex-end !important}.justify-content-xl-center{justify-content:center !important}.justify-content-xl-between{justify-content:space-between !important}.justify-content-xl-around{justify-content:space-around !important}.justify-content-xl-evenly{justify-content:space-evenly !important}.align-items-xl-start{align-items:flex-start !important}.align-items-xl-end{align-items:flex-end !important}.align-items-xl-center{align-items:center !important}.align-items-xl-baseline{align-items:baseline !important}.align-items-xl-stretch{align-items:stretch !important}.align-content-xl-start{align-content:flex-start !important}.align-content-xl-end{align-content:flex-end !important}.align-content-xl-center{align-content:center !important}.align-content-xl-between{align-content:space-between !important}.align-content-xl-around{align-content:space-around !important}.align-content-xl-stretch{align-content:stretch !important}.align-self-xl-auto{align-self:auto !important}.align-self-xl-start{align-self:flex-start !important}.align-self-xl-end{align-self:flex-end !important}.align-self-xl-center{align-self:center !important}.align-self-xl-baseline{align-self:baseline !important}.align-self-xl-stretch{align-self:stretch !important}.order-xl-first{order:-1 !important}.order-xl-0{order:0 !important}.order-xl-1{order:1 !important}.order-xl-2{order:2 !important}.order-xl-3{order:3 !important}.order-xl-4{order:4 !important}.order-xl-5{order:5 !important}.order-xl-last{order:6 !important}.m-xl-0{margin:0 !important}.m-xl-1{margin:.25rem !important}.m-xl-2{margin:.5rem !important}.m-xl-3{margin:1rem !important}.m-xl-4{margin:1.5rem !important}.m-xl-5{margin:3rem !important}.m-xl-auto{margin:auto !important}.mx-xl-0{margin-right:0 !important;margin-left:0 !important}.mx-xl-1{margin-right:.25rem !important;margin-left:.25rem !important}.mx-xl-2{margin-right:.5rem !important;margin-left:.5rem !important}.mx-xl-3{margin-right:1rem !important;margin-left:1rem !important}.mx-xl-4{margin-right:1.5rem !important;margin-left:1.5rem !important}.mx-xl-5{margin-right:3rem !important;margin-left:3rem !important}.mx-xl-auto{margin-right:auto !important;margin-left:auto !important}.my-xl-0{margin-top:0 !important;margin-bottom:0 !important}.my-xl-1{margin-top:.25rem !important;margin-bottom:.25rem !important}.my-xl-2{margin-top:.5rem !important;margin-bottom:.5rem !important}.my-xl-3{margin-top:1rem !important;margin-bottom:1rem !important}.my-xl-4{margin-top:1.5rem !important;margin-bottom:1.5rem !important}.my-xl-5{margin-top:3rem !important;margin-bottom:3rem !important}.my-xl-auto{margin-top:auto !important;margin-bottom:auto !important}.mt-xl-0{margin-top:0 !important}.mt-xl-1{margin-top:.25rem !important}.mt-xl-2{margin-top:.5rem !important}.mt-xl-3{margin-top:1rem !important}.mt-xl-4{margin-top:1.5rem !important}.mt-xl-5{margin-top:3rem !important}.mt-xl-auto{margin-top:auto !important}.me-xl-0{margin-right:0 !important}.me-xl-1{margin-right:.25rem !important}.me-xl-2{margin-right:.5rem !important}.me-xl-3{margin-right:1rem !important}.me-xl-4{margin-right:1.5rem !important}.me-xl-5{margin-right:3rem !important}.me-xl-auto{margin-right:auto !important}.mb-xl-0{margin-bottom:0 !important}.mb-xl-1{margin-bottom:.25rem !important}.mb-xl-2{margin-bottom:.5rem !important}.mb-xl-3{margin-bottom:1rem !important}.mb-xl-4{margin-bottom:1.5rem !important}.mb-xl-5{margin-bottom:3rem !important}.mb-xl-auto{margin-bottom:auto !important}.ms-xl-0{margin-left:0 !important}.ms-xl-1{margin-left:.25rem !important}.ms-xl-2{margin-left:.5rem !important}.ms-xl-3{margin-left:1rem !important}.ms-xl-4{margin-left:1.5rem !important}.ms-xl-5{margin-left:3rem !important}.ms-xl-auto{margin-left:auto !important}.p-xl-0{padding:0 !important}.p-xl-1{padding:.25rem !important}.p-xl-2{padding:.5rem !important}.p-xl-3{padding:1rem !important}.p-xl-4{padding:1.5rem !important}.p-xl-5{padding:3rem !important}.px-xl-0{padding-right:0 !important;padding-left:0 !important}.px-xl-1{padding-right:.25rem !important;padding-left:.25rem !important}.px-xl-2{padding-right:.5rem !important;padding-left:.5rem !important}.px-xl-3{padding-right:1rem !important;padding-left:1rem !important}.px-xl-4{padding-right:1.5rem !important;padding-left:1.5rem !important}.px-xl-5{padding-right:3rem !important;padding-left:3rem !important}.py-xl-0{padding-top:0 !important;padding-bottom:0 !important}.py-xl-1{padding-top:.25rem !important;padding-bottom:.25rem !important}.py-xl-2{padding-top:.5rem !important;padding-bottom:.5rem !important}.py-xl-3{padding-top:1rem !important;padding-bottom:1rem !important}.py-xl-4{padding-top:1.5rem !important;padding-bottom:1.5rem !important}.py-xl-5{padding-top:3rem !important;padding-bottom:3rem !important}.pt-xl-0{padding-top:0 !important}.pt-xl-1{padding-top:.25rem !important}.pt-xl-2{padding-top:.5rem !important}.pt-xl-3{padding-top:1rem !important}.pt-xl-4{padding-top:1.5rem !important}.pt-xl-5{padding-top:3rem !important}.pe-xl-0{padding-right:0 !important}.pe-xl-1{padding-right:.25rem !important}.pe-xl-2{padding-right:.5rem !important}.pe-xl-3{padding-right:1rem !important}.pe-xl-4{padding-right:1.5rem !important}.pe-xl-5{padding-right:3rem !important}.pb-xl-0{padding-bottom:0 !important}.pb-xl-1{padding-bottom:.25rem !important}.pb-xl-2{padding-bottom:.5rem !important}.pb-xl-3{padding-bottom:1rem !important}.pb-xl-4{padding-bottom:1.5rem !important}.pb-xl-5{padding-bottom:3rem !important}.ps-xl-0{padding-left:0 !important}.ps-xl-1{padding-left:.25rem !important}.ps-xl-2{padding-left:.5rem !important}.ps-xl-3{padding-left:1rem !important}.ps-xl-4{padding-left:1.5rem !important}.ps-xl-5{padding-left:3rem !important}.gap-xl-0{gap:0 !important}.gap-xl-1{gap:.25rem !important}.gap-xl-2{gap:.5rem !important}.gap-xl-3{gap:1rem !important}.gap-xl-4{gap:1.5rem !important}.gap-xl-5{gap:3rem !important}.row-gap-xl-0{row-gap:0 !important}.row-gap-xl-1{row-gap:.25rem !important}.row-gap-xl-2{row-gap:.5rem !important}.row-gap-xl-3{row-gap:1rem !important}.row-gap-xl-4{row-gap:1.5rem !important}.row-gap-xl-5{row-gap:3rem !important}.column-gap-xl-0{column-gap:0 !important}.column-gap-xl-1{column-gap:.25rem !important}.column-gap-xl-2{column-gap:.5rem !important}.column-gap-xl-3{column-gap:1rem !important}.column-gap-xl-4{column-gap:1.5rem !important}.column-gap-xl-5{column-gap:3rem !important}.text-xl-start{text-align:left !important}.text-xl-end{text-align:right !important}.text-xl-center{text-align:center !important}}@media(min-width: 1200px){.fs-1{font-size:2.5rem !important}.fs-2{font-size:2rem !important}.fs-3{font-size:1.75rem !important}.fs-4{font-size:1.5rem !important}}@media print{.d-print-inline{display:inline !important}.d-print-inline-block{display:inline-block !important}.d-print-block{display:block !important}.d-print-grid{display:grid !important}.d-print-inline-grid{display:inline-grid !important}.d-print-table{display:table !important}.d-print-table-row{display:table-row !important}.d-print-table-cell{display:table-cell !important}.d-print-flex{display:flex !important}.d-print-inline-flex{display:inline-flex !important}.d-print-none{display:none !important}}","@mixin bsBanner($file) {\n  /*!\n   * Bootstrap #{$file} v5.3.2 (https://getbootstrap.com/)\n   * Copyright 2011-2023 The Bootstrap Authors\n   * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n   */\n}\n",":root,\n[data-bs-theme=\"light\"] {\n  // Note: Custom variable values only support SassScript inside `#{}`.\n\n  // Colors\n  //\n  // Generate palettes for full colors, grays, and theme colors.\n\n  @each $color, $value in $colors {\n    --#{$prefix}#{$color}: #{$value};\n  }\n\n  @each $color, $value in $grays {\n    --#{$prefix}gray-#{$color}: #{$value};\n  }\n\n  @each $color, $value in $theme-colors {\n    --#{$prefix}#{$color}: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-rgb {\n    --#{$prefix}#{$color}-rgb: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-text {\n    --#{$prefix}#{$color}-text-emphasis: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-bg-subtle {\n    --#{$prefix}#{$color}-bg-subtle: #{$value};\n  }\n\n  @each $color, $value in $theme-colors-border-subtle {\n    --#{$prefix}#{$color}-border-subtle: #{$value};\n  }\n\n  --#{$prefix}white-rgb: #{to-rgb($white)};\n  --#{$prefix}black-rgb: #{to-rgb($black)};\n\n  // Fonts\n\n  // Note: Use `inspect` for lists so that quoted items keep the quotes.\n  // See https://github.com/sass/sass/issues/2383#issuecomment-336349172\n  --#{$prefix}font-sans-serif: #{inspect($font-family-sans-serif)};\n  --#{$prefix}font-monospace: #{inspect($font-family-monospace)};\n  --#{$prefix}gradient: #{$gradient};\n\n  // Root and body\n  // scss-docs-start root-body-variables\n  @if $font-size-root != null {\n    --#{$prefix}root-font-size: #{$font-size-root};\n  }\n  --#{$prefix}body-font-family: #{inspect($font-family-base)};\n  @include rfs($font-size-base, --#{$prefix}body-font-size);\n  --#{$prefix}body-font-weight: #{$font-weight-base};\n  --#{$prefix}body-line-height: #{$line-height-base};\n  @if $body-text-align != null {\n    --#{$prefix}body-text-align: #{$body-text-align};\n  }\n\n  --#{$prefix}body-color: #{$body-color};\n  --#{$prefix}body-color-rgb: #{to-rgb($body-color)};\n  --#{$prefix}body-bg: #{$body-bg};\n  --#{$prefix}body-bg-rgb: #{to-rgb($body-bg)};\n\n  --#{$prefix}emphasis-color: #{$body-emphasis-color};\n  --#{$prefix}emphasis-color-rgb: #{to-rgb($body-emphasis-color)};\n\n  --#{$prefix}secondary-color: #{$body-secondary-color};\n  --#{$prefix}secondary-color-rgb: #{to-rgb($body-secondary-color)};\n  --#{$prefix}secondary-bg: #{$body-secondary-bg};\n  --#{$prefix}secondary-bg-rgb: #{to-rgb($body-secondary-bg)};\n\n  --#{$prefix}tertiary-color: #{$body-tertiary-color};\n  --#{$prefix}tertiary-color-rgb: #{to-rgb($body-tertiary-color)};\n  --#{$prefix}tertiary-bg: #{$body-tertiary-bg};\n  --#{$prefix}tertiary-bg-rgb: #{to-rgb($body-tertiary-bg)};\n  // scss-docs-end root-body-variables\n\n  --#{$prefix}heading-color: #{$headings-color};\n\n  --#{$prefix}link-color: #{$link-color};\n  --#{$prefix}link-color-rgb: #{to-rgb($link-color)};\n  --#{$prefix}link-decoration: #{$link-decoration};\n\n  --#{$prefix}link-hover-color: #{$link-hover-color};\n  --#{$prefix}link-hover-color-rgb: #{to-rgb($link-hover-color)};\n\n  @if $link-hover-decoration != null {\n    --#{$prefix}link-hover-decoration: #{$link-hover-decoration};\n  }\n\n  --#{$prefix}code-color: #{$code-color};\n  --#{$prefix}highlight-color: #{$mark-color};\n  --#{$prefix}highlight-bg: #{$mark-bg};\n\n  // scss-docs-start root-border-var\n  --#{$prefix}border-width: #{$border-width};\n  --#{$prefix}border-style: #{$border-style};\n  --#{$prefix}border-color: #{$border-color};\n  --#{$prefix}border-color-translucent: #{$border-color-translucent};\n\n  --#{$prefix}border-radius: #{$border-radius};\n  --#{$prefix}border-radius-sm: #{$border-radius-sm};\n  --#{$prefix}border-radius-lg: #{$border-radius-lg};\n  --#{$prefix}border-radius-xl: #{$border-radius-xl};\n  --#{$prefix}border-radius-xxl: #{$border-radius-xxl};\n  --#{$prefix}border-radius-2xl: var(--#{$prefix}border-radius-xxl); // Deprecated in v5.3.0 for consistency\n  --#{$prefix}border-radius-pill: #{$border-radius-pill};\n  // scss-docs-end root-border-var\n\n  --#{$prefix}box-shadow: #{$box-shadow};\n  --#{$prefix}box-shadow-sm: #{$box-shadow-sm};\n  --#{$prefix}box-shadow-lg: #{$box-shadow-lg};\n  --#{$prefix}box-shadow-inset: #{$box-shadow-inset};\n\n  // Focus styles\n  // scss-docs-start root-focus-variables\n  --#{$prefix}focus-ring-width: #{$focus-ring-width};\n  --#{$prefix}focus-ring-opacity: #{$focus-ring-opacity};\n  --#{$prefix}focus-ring-color: #{$focus-ring-color};\n  // scss-docs-end root-focus-variables\n\n  // scss-docs-start root-form-validation-variables\n  --#{$prefix}form-valid-color: #{$form-valid-color};\n  --#{$prefix}form-valid-border-color: #{$form-valid-border-color};\n  --#{$prefix}form-invalid-color: #{$form-invalid-color};\n  --#{$prefix}form-invalid-border-color: #{$form-invalid-border-color};\n  // scss-docs-end root-form-validation-variables\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark, true) {\n    color-scheme: dark;\n\n    // scss-docs-start root-dark-mode-vars\n    --#{$prefix}body-color: #{$body-color-dark};\n    --#{$prefix}body-color-rgb: #{to-rgb($body-color-dark)};\n    --#{$prefix}body-bg: #{$body-bg-dark};\n    --#{$prefix}body-bg-rgb: #{to-rgb($body-bg-dark)};\n\n    --#{$prefix}emphasis-color: #{$body-emphasis-color-dark};\n    --#{$prefix}emphasis-color-rgb: #{to-rgb($body-emphasis-color-dark)};\n\n    --#{$prefix}secondary-color: #{$body-secondary-color-dark};\n    --#{$prefix}secondary-color-rgb: #{to-rgb($body-secondary-color-dark)};\n    --#{$prefix}secondary-bg: #{$body-secondary-bg-dark};\n    --#{$prefix}secondary-bg-rgb: #{to-rgb($body-secondary-bg-dark)};\n\n    --#{$prefix}tertiary-color: #{$body-tertiary-color-dark};\n    --#{$prefix}tertiary-color-rgb: #{to-rgb($body-tertiary-color-dark)};\n    --#{$prefix}tertiary-bg: #{$body-tertiary-bg-dark};\n    --#{$prefix}tertiary-bg-rgb: #{to-rgb($body-tertiary-bg-dark)};\n\n    @each $color, $value in $theme-colors-text-dark {\n      --#{$prefix}#{$color}-text-emphasis: #{$value};\n    }\n\n    @each $color, $value in $theme-colors-bg-subtle-dark {\n      --#{$prefix}#{$color}-bg-subtle: #{$value};\n    }\n\n    @each $color, $value in $theme-colors-border-subtle-dark {\n      --#{$prefix}#{$color}-border-subtle: #{$value};\n    }\n\n    --#{$prefix}heading-color: #{$headings-color-dark};\n\n    --#{$prefix}link-color: #{$link-color-dark};\n    --#{$prefix}link-hover-color: #{$link-hover-color-dark};\n    --#{$prefix}link-color-rgb: #{to-rgb($link-color-dark)};\n    --#{$prefix}link-hover-color-rgb: #{to-rgb($link-hover-color-dark)};\n\n    --#{$prefix}code-color: #{$code-color-dark};\n    --#{$prefix}highlight-color: #{$mark-color-dark};\n    --#{$prefix}highlight-bg: #{$mark-bg-dark};\n\n    --#{$prefix}border-color: #{$border-color-dark};\n    --#{$prefix}border-color-translucent: #{$border-color-translucent-dark};\n\n    --#{$prefix}form-valid-color: #{$form-valid-color-dark};\n    --#{$prefix}form-valid-border-color: #{$form-valid-border-color-dark};\n    --#{$prefix}form-invalid-color: #{$form-invalid-color-dark};\n    --#{$prefix}form-invalid-border-color: #{$form-invalid-border-color-dark};\n    // scss-docs-end root-dark-mode-vars\n  }\n}\n","// stylelint-disable scss/dimension-no-non-numeric-values\n\n// SCSS RFS mixin\n//\n// Automated responsive values for font sizes, paddings, margins and much more\n//\n// Licensed under MIT (https://github.com/twbs/rfs/blob/main/LICENSE)\n\n// Configuration\n\n// Base value\n$rfs-base-value: 1.25rem !default;\n$rfs-unit: rem !default;\n\n@if $rfs-unit != rem and $rfs-unit != px {\n  @error \"`#{$rfs-unit}` is not a valid unit for $rfs-unit. Use `px` or `rem`.\";\n}\n\n// Breakpoint at where values start decreasing if screen width is smaller\n$rfs-breakpoint: 1200px !default;\n$rfs-breakpoint-unit: px !default;\n\n@if $rfs-breakpoint-unit != px and $rfs-breakpoint-unit != em and $rfs-breakpoint-unit != rem {\n  @error \"`#{$rfs-breakpoint-unit}` is not a valid unit for $rfs-breakpoint-unit. Use `px`, `em` or `rem`.\";\n}\n\n// Resize values based on screen height and width\n$rfs-two-dimensional: false !default;\n\n// Factor of decrease\n$rfs-factor: 10 !default;\n\n@if type-of($rfs-factor) != number or $rfs-factor <= 1 {\n  @error \"`#{$rfs-factor}` is not a valid  $rfs-factor, it must be greater than 1.\";\n}\n\n// Mode. Possibilities: \"min-media-query\", \"max-media-query\"\n$rfs-mode: min-media-query !default;\n\n// Generate enable or disable classes. Possibilities: false, \"enable\" or \"disable\"\n$rfs-class: false !default;\n\n// 1 rem = $rfs-rem-value px\n$rfs-rem-value: 16 !default;\n\n// Safari iframe resize bug: https://github.com/twbs/rfs/issues/14\n$rfs-safari-iframe-resize-bug-fix: false !default;\n\n// Disable RFS by setting $enable-rfs to false\n$enable-rfs: true !default;\n\n// Cache $rfs-base-value unit\n$rfs-base-value-unit: unit($rfs-base-value);\n\n@function divide($dividend, $divisor, $precision: 10) {\n  $sign: if($dividend > 0 and $divisor > 0 or $dividend < 0 and $divisor < 0, 1, -1);\n  $dividend: abs($dividend);\n  $divisor: abs($divisor);\n  @if $dividend == 0 {\n    @return 0;\n  }\n  @if $divisor == 0 {\n    @error \"Cannot divide by 0\";\n  }\n  $remainder: $dividend;\n  $result: 0;\n  $factor: 10;\n  @while ($remainder > 0 and $precision >= 0) {\n    $quotient: 0;\n    @while ($remainder >= $divisor) {\n      $remainder: $remainder - $divisor;\n      $quotient: $quotient + 1;\n    }\n    $result: $result * 10 + $quotient;\n    $factor: $factor * .1;\n    $remainder: $remainder * 10;\n    $precision: $precision - 1;\n    @if ($precision < 0 and $remainder >= $divisor * 5) {\n      $result: $result + 1;\n    }\n  }\n  $result: $result * $factor * $sign;\n  $dividend-unit: unit($dividend);\n  $divisor-unit: unit($divisor);\n  $unit-map: (\n    \"px\": 1px,\n    \"rem\": 1rem,\n    \"em\": 1em,\n    \"%\": 1%\n  );\n  @if ($dividend-unit != $divisor-unit and map-has-key($unit-map, $dividend-unit)) {\n    $result: $result * map-get($unit-map, $dividend-unit);\n  }\n  @return $result;\n}\n\n// Remove px-unit from $rfs-base-value for calculations\n@if $rfs-base-value-unit == px {\n  $rfs-base-value: divide($rfs-base-value, $rfs-base-value * 0 + 1);\n}\n@else if $rfs-base-value-unit == rem {\n  $rfs-base-value: divide($rfs-base-value, divide($rfs-base-value * 0 + 1, $rfs-rem-value));\n}\n\n// Cache $rfs-breakpoint unit to prevent multiple calls\n$rfs-breakpoint-unit-cache: unit($rfs-breakpoint);\n\n// Remove unit from $rfs-breakpoint for calculations\n@if $rfs-breakpoint-unit-cache == px {\n  $rfs-breakpoint: divide($rfs-breakpoint, $rfs-breakpoint * 0 + 1);\n}\n@else if $rfs-breakpoint-unit-cache == rem or $rfs-breakpoint-unit-cache == \"em\" {\n  $rfs-breakpoint: divide($rfs-breakpoint, divide($rfs-breakpoint * 0 + 1, $rfs-rem-value));\n}\n\n// Calculate the media query value\n$rfs-mq-value: if($rfs-breakpoint-unit == px, #{$rfs-breakpoint}px, #{divide($rfs-breakpoint, $rfs-rem-value)}#{$rfs-breakpoint-unit});\n$rfs-mq-property-width: if($rfs-mode == max-media-query, max-width, min-width);\n$rfs-mq-property-height: if($rfs-mode == max-media-query, max-height, min-height);\n\n// Internal mixin used to determine which media query needs to be used\n@mixin _rfs-media-query {\n  @if $rfs-two-dimensional {\n    @if $rfs-mode == max-media-query {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}), (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n    @else {\n      @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) and (#{$rfs-mq-property-height}: #{$rfs-mq-value}) {\n        @content;\n      }\n    }\n  }\n  @else {\n    @media (#{$rfs-mq-property-width}: #{$rfs-mq-value}) {\n      @content;\n    }\n  }\n}\n\n// Internal mixin that adds disable classes to the selector if needed.\n@mixin _rfs-rule {\n  @if $rfs-class == disable and $rfs-mode == max-media-query {\n    // Adding an extra class increases specificity, which prevents the media query to override the property\n    &,\n    .disable-rfs &,\n    &.disable-rfs {\n      @content;\n    }\n  }\n  @else if $rfs-class == enable and $rfs-mode == min-media-query {\n    .enable-rfs &,\n    &.enable-rfs {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Internal mixin that adds enable classes to the selector if needed.\n@mixin _rfs-media-query-rule {\n\n  @if $rfs-class == enable {\n    @if $rfs-mode == min-media-query {\n      @content;\n    }\n\n    @include _rfs-media-query () {\n      .enable-rfs &,\n      &.enable-rfs {\n        @content;\n      }\n    }\n  }\n  @else {\n    @if $rfs-class == disable and $rfs-mode == min-media-query {\n      .disable-rfs &,\n      &.disable-rfs {\n        @content;\n      }\n    }\n    @include _rfs-media-query () {\n      @content;\n    }\n  }\n}\n\n// Helper function to get the formatted non-responsive value\n@function rfs-value($values) {\n  // Convert to list\n  $values: if(type-of($values) != list, ($values,), $values);\n\n  $val: \"\";\n\n  // Loop over each value and calculate value\n  @each $value in $values {\n    @if $value == 0 {\n      $val: $val + \" 0\";\n    }\n    @else {\n      // Cache $value unit\n      $unit: if(type-of($value) == \"number\", unit($value), false);\n\n      @if $unit == px {\n        // Convert to rem if needed\n        $val: $val + \" \" + if($rfs-unit == rem, #{divide($value, $value * 0 + $rfs-rem-value)}rem, $value);\n      }\n      @else if $unit == rem {\n        // Convert to px if needed\n        $val: $val + \" \" + if($rfs-unit == px, #{divide($value, $value * 0 + 1) * $rfs-rem-value}px, $value);\n      } @else {\n        // If $value isn't a number (like inherit) or $value has a unit (not px or rem, like 1.5em) or $ is 0, just print the value\n        $val: $val + \" \" + $value;\n      }\n    }\n  }\n\n  // Remove first space\n  @return unquote(str-slice($val, 2));\n}\n\n// Helper function to get the responsive value calculated by RFS\n@function rfs-fluid-value($values) {\n  // Convert to list\n  $values: if(type-of($values) != list, ($values,), $values);\n\n  $val: \"\";\n\n  // Loop over each value and calculate value\n  @each $value in $values {\n    @if $value == 0 {\n      $val: $val + \" 0\";\n    } @else {\n      // Cache $value unit\n      $unit: if(type-of($value) == \"number\", unit($value), false);\n\n      // If $value isn't a number (like inherit) or $value has a unit (not px or rem, like 1.5em) or $ is 0, just print the value\n      @if not $unit or $unit != px and $unit != rem {\n        $val: $val + \" \" + $value;\n      } @else {\n        // Remove unit from $value for calculations\n        $value: divide($value, $value * 0 + if($unit == px, 1, divide(1, $rfs-rem-value)));\n\n        // Only add the media query if the value is greater than the minimum value\n        @if abs($value) <= $rfs-base-value or not $enable-rfs {\n          $val: $val + \" \" + if($rfs-unit == rem, #{divide($value, $rfs-rem-value)}rem, #{$value}px);\n        }\n        @else {\n          // Calculate the minimum value\n          $value-min: $rfs-base-value + divide(abs($value) - $rfs-base-value, $rfs-factor);\n\n          // Calculate difference between $value and the minimum value\n          $value-diff: abs($value) - $value-min;\n\n          // Base value formatting\n          $min-width: if($rfs-unit == rem, #{divide($value-min, $rfs-rem-value)}rem, #{$value-min}px);\n\n          // Use negative value if needed\n          $min-width: if($value < 0, -$min-width, $min-width);\n\n          // Use `vmin` if two-dimensional is enabled\n          $variable-unit: if($rfs-two-dimensional, vmin, vw);\n\n          // Calculate the variable width between 0 and $rfs-breakpoint\n          $variable-width: #{divide($value-diff * 100, $rfs-breakpoint)}#{$variable-unit};\n\n          // Return the calculated value\n          $val: $val + \" calc(\" + $min-width + if($value < 0, \" - \", \" + \") + $variable-width + \")\";\n        }\n      }\n    }\n  }\n\n  // Remove first space\n  @return unquote(str-slice($val, 2));\n}\n\n// RFS mixin\n@mixin rfs($values, $property: font-size) {\n  @if $values != null {\n    $val: rfs-value($values);\n    $fluid-val: rfs-fluid-value($values);\n\n    // Do not print the media query if responsive & non-responsive values are the same\n    @if $val == $fluid-val {\n      #{$property}: $val;\n    }\n    @else {\n      @include _rfs-rule () {\n        #{$property}: if($rfs-mode == max-media-query, $val, $fluid-val);\n\n        // Include safari iframe resize fix if needed\n        min-width: if($rfs-safari-iframe-resize-bug-fix, (0 * 1vw), null);\n      }\n\n      @include _rfs-media-query-rule () {\n        #{$property}: if($rfs-mode == max-media-query, $fluid-val, $val);\n      }\n    }\n  }\n}\n\n// Shorthand helper mixins\n@mixin font-size($value) {\n  @include rfs($value);\n}\n\n@mixin padding($value) {\n  @include rfs($value, padding);\n}\n\n@mixin padding-top($value) {\n  @include rfs($value, padding-top);\n}\n\n@mixin padding-right($value) {\n  @include rfs($value, padding-right);\n}\n\n@mixin padding-bottom($value) {\n  @include rfs($value, padding-bottom);\n}\n\n@mixin padding-left($value) {\n  @include rfs($value, padding-left);\n}\n\n@mixin margin($value) {\n  @include rfs($value, margin);\n}\n\n@mixin margin-top($value) {\n  @include rfs($value, margin-top);\n}\n\n@mixin margin-right($value) {\n  @include rfs($value, margin-right);\n}\n\n@mixin margin-bottom($value) {\n  @include rfs($value, margin-bottom);\n}\n\n@mixin margin-left($value) {\n  @include rfs($value, margin-left);\n}\n","// scss-docs-start color-mode-mixin\n@mixin color-mode($mode: light, $root: false) {\n  @if $color-mode-type == \"media-query\" {\n    @if $root == true {\n      @media (prefers-color-scheme: $mode) {\n        :root {\n          @content;\n        }\n      }\n    } @else {\n      @media (prefers-color-scheme: $mode) {\n        @content;\n      }\n    }\n  } @else {\n    [data-bs-theme=\"#{$mode}\"] {\n      @content;\n    }\n  }\n}\n// scss-docs-end color-mode-mixin\n","// stylelint-disable declaration-no-important, selector-no-qualifying-type, property-no-vendor-prefix\n\n\n// Reboot\n//\n// Normalization of HTML elements, manually forked from Normalize.css to remove\n// styles targeting irrelevant browsers while applying new styles.\n//\n// Normalize is licensed MIT. https://github.com/necolas/normalize.css\n\n\n// Document\n//\n// Change from `box-sizing: content-box` so that `width` is not affected by `padding` or `border`.\n\n*,\n*::before,\n*::after {\n  box-sizing: border-box;\n}\n\n\n// Root\n//\n// Ability to the value of the root font sizes, affecting the value of `rem`.\n// null by default, thus nothing is generated.\n\n:root {\n  @if $font-size-root != null {\n    @include font-size(var(--#{$prefix}root-font-size));\n  }\n\n  @if $enable-smooth-scroll {\n    @media (prefers-reduced-motion: no-preference) {\n      scroll-behavior: smooth;\n    }\n  }\n}\n\n\n// Body\n//\n// 1. Remove the margin in all browsers.\n// 2. As a best practice, apply a default `background-color`.\n// 3. Prevent adjustments of font size after orientation changes in iOS.\n// 4. Change the default tap highlight to be completely transparent in iOS.\n\n// scss-docs-start reboot-body-rules\nbody {\n  margin: 0; // 1\n  font-family: var(--#{$prefix}body-font-family);\n  @include font-size(var(--#{$prefix}body-font-size));\n  font-weight: var(--#{$prefix}body-font-weight);\n  line-height: var(--#{$prefix}body-line-height);\n  color: var(--#{$prefix}body-color);\n  text-align: var(--#{$prefix}body-text-align);\n  background-color: var(--#{$prefix}body-bg); // 2\n  -webkit-text-size-adjust: 100%; // 3\n  -webkit-tap-highlight-color: rgba($black, 0); // 4\n}\n// scss-docs-end reboot-body-rules\n\n\n// Content grouping\n//\n// 1. Reset Firefox's gray color\n\nhr {\n  margin: $hr-margin-y 0;\n  color: $hr-color; // 1\n  border: 0;\n  border-top: $hr-border-width solid $hr-border-color;\n  opacity: $hr-opacity;\n}\n\n\n// Typography\n//\n// 1. Remove top margins from headings\n//    By default, `<h1>`-`<h6>` all receive top and bottom margins. We nuke the top\n//    margin for easier control within type scales as it avoids margin collapsing.\n\n%heading {\n  margin-top: 0; // 1\n  margin-bottom: $headings-margin-bottom;\n  font-family: $headings-font-family;\n  font-style: $headings-font-style;\n  font-weight: $headings-font-weight;\n  line-height: $headings-line-height;\n  color: var(--#{$prefix}heading-color);\n}\n\nh1 {\n  @extend %heading;\n  @include font-size($h1-font-size);\n}\n\nh2 {\n  @extend %heading;\n  @include font-size($h2-font-size);\n}\n\nh3 {\n  @extend %heading;\n  @include font-size($h3-font-size);\n}\n\nh4 {\n  @extend %heading;\n  @include font-size($h4-font-size);\n}\n\nh5 {\n  @extend %heading;\n  @include font-size($h5-font-size);\n}\n\nh6 {\n  @extend %heading;\n  @include font-size($h6-font-size);\n}\n\n\n// Reset margins on paragraphs\n//\n// Similarly, the top margin on `<p>`s get reset. However, we also reset the\n// bottom margin to use `rem` units instead of `em`.\n\np {\n  margin-top: 0;\n  margin-bottom: $paragraph-margin-bottom;\n}\n\n\n// Abbreviations\n//\n// 1. Add the correct text decoration in Chrome, Edge, Opera, and Safari.\n// 2. Add explicit cursor to indicate changed behavior.\n// 3. Prevent the text-decoration to be skipped.\n\nabbr[title] {\n  text-decoration: underline dotted; // 1\n  cursor: help; // 2\n  text-decoration-skip-ink: none; // 3\n}\n\n\n// Address\n\naddress {\n  margin-bottom: 1rem;\n  font-style: normal;\n  line-height: inherit;\n}\n\n\n// Lists\n\nol,\nul {\n  padding-left: 2rem;\n}\n\nol,\nul,\ndl {\n  margin-top: 0;\n  margin-bottom: 1rem;\n}\n\nol ol,\nul ul,\nol ul,\nul ol {\n  margin-bottom: 0;\n}\n\ndt {\n  font-weight: $dt-font-weight;\n}\n\n// 1. Undo browser default\n\ndd {\n  margin-bottom: .5rem;\n  margin-left: 0; // 1\n}\n\n\n// Blockquote\n\nblockquote {\n  margin: 0 0 1rem;\n}\n\n\n// Strong\n//\n// Add the correct font weight in Chrome, Edge, and Safari\n\nb,\nstrong {\n  font-weight: $font-weight-bolder;\n}\n\n\n// Small\n//\n// Add the correct font size in all browsers\n\nsmall {\n  @include font-size($small-font-size);\n}\n\n\n// Mark\n\nmark {\n  padding: $mark-padding;\n  color: var(--#{$prefix}highlight-color);\n  background-color: var(--#{$prefix}highlight-bg);\n}\n\n\n// Sub and Sup\n//\n// Prevent `sub` and `sup` elements from affecting the line height in\n// all browsers.\n\nsub,\nsup {\n  position: relative;\n  @include font-size($sub-sup-font-size);\n  line-height: 0;\n  vertical-align: baseline;\n}\n\nsub { bottom: -.25em; }\nsup { top: -.5em; }\n\n\n// Links\n\na {\n  color: rgba(var(--#{$prefix}link-color-rgb), var(--#{$prefix}link-opacity, 1));\n  text-decoration: $link-decoration;\n\n  &:hover {\n    --#{$prefix}link-color-rgb: var(--#{$prefix}link-hover-color-rgb);\n    text-decoration: $link-hover-decoration;\n  }\n}\n\n// And undo these styles for placeholder links/named anchors (without href).\n// It would be more straightforward to just use a[href] in previous block, but that\n// causes specificity issues in many other styles that are too complex to fix.\n// See https://github.com/twbs/bootstrap/issues/19402\n\na:not([href]):not([class]) {\n  &,\n  &:hover {\n    color: inherit;\n    text-decoration: none;\n  }\n}\n\n\n// Code\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: $font-family-code;\n  @include font-size(1em); // Correct the odd `em` font sizing in all browsers.\n}\n\n// 1. Remove browser default top margin\n// 2. Reset browser default of `1em` to use `rem`s\n// 3. Don't allow content to break outside\n\npre {\n  display: block;\n  margin-top: 0; // 1\n  margin-bottom: 1rem; // 2\n  overflow: auto; // 3\n  @include font-size($code-font-size);\n  color: $pre-color;\n\n  // Account for some code outputs that place code tags in pre tags\n  code {\n    @include font-size(inherit);\n    color: inherit;\n    word-break: normal;\n  }\n}\n\ncode {\n  @include font-size($code-font-size);\n  color: var(--#{$prefix}code-color);\n  word-wrap: break-word;\n\n  // Streamline the style when inside anchors to avoid broken underline and more\n  a > & {\n    color: inherit;\n  }\n}\n\nkbd {\n  padding: $kbd-padding-y $kbd-padding-x;\n  @include font-size($kbd-font-size);\n  color: $kbd-color;\n  background-color: $kbd-bg;\n  @include border-radius($border-radius-sm);\n\n  kbd {\n    padding: 0;\n    @include font-size(1em);\n    font-weight: $nested-kbd-font-weight;\n  }\n}\n\n\n// Figures\n//\n// Apply a consistent margin strategy (matches our type styles).\n\nfigure {\n  margin: 0 0 1rem;\n}\n\n\n// Images and content\n\nimg,\nsvg {\n  vertical-align: middle;\n}\n\n\n// Tables\n//\n// Prevent double borders\n\ntable {\n  caption-side: bottom;\n  border-collapse: collapse;\n}\n\ncaption {\n  padding-top: $table-cell-padding-y;\n  padding-bottom: $table-cell-padding-y;\n  color: $table-caption-color;\n  text-align: left;\n}\n\n// 1. Removes font-weight bold by inheriting\n// 2. Matches default `<td>` alignment by inheriting `text-align`.\n// 3. Fix alignment for Safari\n\nth {\n  font-weight: $table-th-font-weight; // 1\n  text-align: inherit; // 2\n  text-align: -webkit-match-parent; // 3\n}\n\nthead,\ntbody,\ntfoot,\ntr,\ntd,\nth {\n  border-color: inherit;\n  border-style: solid;\n  border-width: 0;\n}\n\n\n// Forms\n//\n// 1. Allow labels to use `margin` for spacing.\n\nlabel {\n  display: inline-block; // 1\n}\n\n// Remove the default `border-radius` that macOS Chrome adds.\n// See https://github.com/twbs/bootstrap/issues/24093\n\nbutton {\n  // stylelint-disable-next-line property-disallowed-list\n  border-radius: 0;\n}\n\n// Explicitly remove focus outline in Chromium when it shouldn't be\n// visible (e.g. as result of mouse click or touch tap). It already\n// should be doing this automatically, but seems to currently be\n// confused and applies its very visible two-tone outline anyway.\n\nbutton:focus:not(:focus-visible) {\n  outline: 0;\n}\n\n// 1. Remove the margin in Firefox and Safari\n\ninput,\nbutton,\nselect,\noptgroup,\ntextarea {\n  margin: 0; // 1\n  font-family: inherit;\n  @include font-size(inherit);\n  line-height: inherit;\n}\n\n// Remove the inheritance of text transform in Firefox\nbutton,\nselect {\n  text-transform: none;\n}\n// Set the cursor for non-`<button>` buttons\n//\n// Details at https://github.com/twbs/bootstrap/pull/30562\n[role=\"button\"] {\n  cursor: pointer;\n}\n\nselect {\n  // Remove the inheritance of word-wrap in Safari.\n  // See https://github.com/twbs/bootstrap/issues/24990\n  word-wrap: normal;\n\n  // Undo the opacity change from Chrome\n  &:disabled {\n    opacity: 1;\n  }\n}\n\n// Remove the dropdown arrow only from text type inputs built with datalists in Chrome.\n// See https://stackoverflow.com/a/54997118\n\n[list]:not([type=\"date\"]):not([type=\"datetime-local\"]):not([type=\"month\"]):not([type=\"week\"]):not([type=\"time\"])::-webkit-calendar-picker-indicator {\n  display: none !important;\n}\n\n// 1. Prevent a WebKit bug where (2) destroys native `audio` and `video`\n//    controls in Android 4.\n// 2. Correct the inability to style clickable types in iOS and Safari.\n// 3. Opinionated: add \"hand\" cursor to non-disabled button elements.\n\nbutton,\n[type=\"button\"], // 1\n[type=\"reset\"],\n[type=\"submit\"] {\n  -webkit-appearance: button; // 2\n\n  @if $enable-button-pointers {\n    &:not(:disabled) {\n      cursor: pointer; // 3\n    }\n  }\n}\n\n// Remove inner border and padding from Firefox, but don't restore the outline like Normalize.\n\n::-moz-focus-inner {\n  padding: 0;\n  border-style: none;\n}\n\n// 1. Textareas should really only resize vertically so they don't break their (horizontal) containers.\n\ntextarea {\n  resize: vertical; // 1\n}\n\n// 1. Browsers set a default `min-width: min-content;` on fieldsets,\n//    unlike e.g. `<div>`s, which have `min-width: 0;` by default.\n//    So we reset that to ensure fieldsets behave more like a standard block element.\n//    See https://github.com/twbs/bootstrap/issues/12359\n//    and https://html.spec.whatwg.org/multipage/#the-fieldset-and-legend-elements\n// 2. Reset the default outline behavior of fieldsets so they don't affect page layout.\n\nfieldset {\n  min-width: 0; // 1\n  padding: 0; // 2\n  margin: 0; // 2\n  border: 0; // 2\n}\n\n// 1. By using `float: left`, the legend will behave like a block element.\n//    This way the border of a fieldset wraps around the legend if present.\n// 2. Fix wrapping bug.\n//    See https://github.com/twbs/bootstrap/issues/29712\n\nlegend {\n  float: left; // 1\n  width: 100%;\n  padding: 0;\n  margin-bottom: $legend-margin-bottom;\n  @include font-size($legend-font-size);\n  font-weight: $legend-font-weight;\n  line-height: inherit;\n\n  + * {\n    clear: left; // 2\n  }\n}\n\n// Fix height of inputs with a type of datetime-local, date, month, week, or time\n// See https://github.com/twbs/bootstrap/issues/18842\n\n::-webkit-datetime-edit-fields-wrapper,\n::-webkit-datetime-edit-text,\n::-webkit-datetime-edit-minute,\n::-webkit-datetime-edit-hour-field,\n::-webkit-datetime-edit-day-field,\n::-webkit-datetime-edit-month-field,\n::-webkit-datetime-edit-year-field {\n  padding: 0;\n}\n\n::-webkit-inner-spin-button {\n  height: auto;\n}\n\n// 1. This overrides the extra rounded corners on search inputs in iOS so that our\n//    `.form-control` class can properly style them. Note that this cannot simply\n//    be added to `.form-control` as it's not specific enough. For details, see\n//    https://github.com/twbs/bootstrap/issues/11586.\n// 2. Correct the outline style in Safari.\n\n[type=\"search\"] {\n  -webkit-appearance: textfield; // 1\n  outline-offset: -2px; // 2\n}\n\n// 1. A few input types should stay LTR\n// See https://rtlstyling.com/posts/rtl-styling#form-inputs\n// 2. RTL only output\n// See https://rtlcss.com/learn/usage-guide/control-directives/#raw\n\n/* rtl:raw:\n[type=\"tel\"],\n[type=\"url\"],\n[type=\"email\"],\n[type=\"number\"] {\n  direction: ltr;\n}\n*/\n\n// Remove the inner padding in Chrome and Safari on macOS.\n\n::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n// Remove padding around color pickers in webkit browsers\n\n::-webkit-color-swatch-wrapper {\n  padding: 0;\n}\n\n\n// 1. Inherit font family and line height for file input buttons\n// 2. Correct the inability to style clickable types in iOS and Safari.\n\n::file-selector-button {\n  font: inherit; // 1\n  -webkit-appearance: button; // 2\n}\n\n// Correct element displays\n\noutput {\n  display: inline-block;\n}\n\n// Remove border from iframe\n\niframe {\n  border: 0;\n}\n\n// Summary\n//\n// 1. Add the correct display in all browsers\n\nsummary {\n  display: list-item; // 1\n  cursor: pointer;\n}\n\n\n// Progress\n//\n// Add the correct vertical alignment in Chrome, Firefox, and Opera.\n\nprogress {\n  vertical-align: baseline;\n}\n\n\n// Hidden attribute\n//\n// Always hide an element with the `hidden` HTML attribute.\n\n[hidden] {\n  display: none !important;\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n$accordion-button-focus-border-color:     $input-focus-border-color !default;\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-active-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n","// stylelint-disable property-disallowed-list\n// Single side border-radius\n\n// Helper function to replace negative values with 0\n@function valid-radius($radius) {\n  $return: ();\n  @each $value in $radius {\n    @if type-of($value) == number {\n      $return: append($return, max($value, 0));\n    } @else {\n      $return: append($return, $value);\n    }\n  }\n  @return $return;\n}\n\n// scss-docs-start border-radius-mixins\n@mixin border-radius($radius: $border-radius, $fallback-border-radius: false) {\n  @if $enable-rounded {\n    border-radius: valid-radius($radius);\n  }\n  @else if $fallback-border-radius != false {\n    border-radius: $fallback-border-radius;\n  }\n}\n\n@mixin border-top-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n    border-top-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-right-radius: valid-radius($radius);\n    border-bottom-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-right-radius: valid-radius($radius);\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-top-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-left-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-top-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-top-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-end-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-right-radius: valid-radius($radius);\n  }\n}\n\n@mixin border-bottom-start-radius($radius: $border-radius) {\n  @if $enable-rounded {\n    border-bottom-left-radius: valid-radius($radius);\n  }\n}\n// scss-docs-end border-radius-mixins\n","//\n// Headings\n//\n.h1 {\n  @extend h1;\n}\n\n.h2 {\n  @extend h2;\n}\n\n.h3 {\n  @extend h3;\n}\n\n.h4 {\n  @extend h4;\n}\n\n.h5 {\n  @extend h5;\n}\n\n.h6 {\n  @extend h6;\n}\n\n\n.lead {\n  @include font-size($lead-font-size);\n  font-weight: $lead-font-weight;\n}\n\n// Type display classes\n@each $display, $font-size in $display-font-sizes {\n  .display-#{$display} {\n    @include font-size($font-size);\n    font-family: $display-font-family;\n    font-style: $display-font-style;\n    font-weight: $display-font-weight;\n    line-height: $display-line-height;\n  }\n}\n\n//\n// Emphasis\n//\n.small {\n  @extend small;\n}\n\n.mark {\n  @extend mark;\n}\n\n//\n// Lists\n//\n\n.list-unstyled {\n  @include list-unstyled();\n}\n\n// Inline turns list items into inline-block\n.list-inline {\n  @include list-unstyled();\n}\n.list-inline-item {\n  display: inline-block;\n\n  &:not(:last-child) {\n    margin-right: $list-inline-padding;\n  }\n}\n\n\n//\n// Misc\n//\n\n// Builds on `abbr`\n.initialism {\n  @include font-size($initialism-font-size);\n  text-transform: uppercase;\n}\n\n// Blockquotes\n.blockquote {\n  margin-bottom: $blockquote-margin-y;\n  @include font-size($blockquote-font-size);\n\n  > :last-child {\n    margin-bottom: 0;\n  }\n}\n\n.blockquote-footer {\n  margin-top: -$blockquote-margin-y;\n  margin-bottom: $blockquote-margin-y;\n  @include font-size($blockquote-footer-font-size);\n  color: $blockquote-footer-color;\n\n  &::before {\n    content: \"\\2014\\00A0\"; // em dash, nbsp\n  }\n}\n","// Lists\n\n// Unstyled keeps list items block level, just removes default browser padding and list-style\n@mixin list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n","// Override bootstrap variables\n$spacer: 1rem;\n\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1400px,\n);\n\n$grid-breakpoints: (\n  xs: 0,\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1200px,\n);\n\n$dropdown-link-hover-bg: var(--pst-color-surface);\n// --pst-color-surface can also be assigned to the dark variant because it is\n// scoped to different values depending on light/dark theme\n$dropdown-dark-link-hover-bg: var(--pst-color-surface);\n$dropdown-link-active-bg: var(--pst-color-surface);\n$dropdown-dark-link-active-bg: var(--pst-color-surface);\n","// Responsive images (ensure images don't scale beyond their parents)\n//\n// This is purposefully opt-in via an explicit class rather than being the default for all `<img>`s.\n// We previously tried the \"images are responsive by default\" approach in Bootstrap v2,\n// and abandoned it in Bootstrap v3 because it breaks lots of third-party widgets (including Google Maps)\n// which weren't expecting the images within themselves to be involuntarily resized.\n// See also https://github.com/twbs/bootstrap/issues/18178\n.img-fluid {\n  @include img-fluid();\n}\n\n\n// Image thumbnails\n.img-thumbnail {\n  padding: $thumbnail-padding;\n  background-color: $thumbnail-bg;\n  border: $thumbnail-border-width solid $thumbnail-border-color;\n  @include border-radius($thumbnail-border-radius);\n  @include box-shadow($thumbnail-box-shadow);\n\n  // Keep them at most 100% wide\n  @include img-fluid();\n}\n\n//\n// Figures\n//\n\n.figure {\n  // Ensures the caption's text aligns with the image.\n  display: inline-block;\n}\n\n.figure-img {\n  margin-bottom: $spacer * .5;\n  line-height: 1;\n}\n\n.figure-caption {\n  @include font-size($figure-caption-font-size);\n  color: $figure-caption-color;\n}\n","// Image Mixins\n// - Responsive image\n// - Retina image\n\n\n// Responsive image\n//\n// Keep images from scaling beyond the width of their parents.\n\n@mixin img-fluid {\n  // Part 1: Set a maximum relative to the parent\n  max-width: 100%;\n  // Part 2: Override the height to auto, otherwise images will be stretched\n  // when setting a width and height attribute on the img element.\n  height: auto;\n}\n","// Container widths\n//\n// Set the container width, and override it for fixed navbars in media queries.\n\n@if $enable-container-classes {\n  // Single container class with breakpoint max-widths\n  .container,\n  // 100% wide container at all breakpoints\n  .container-fluid {\n    @include make-container();\n  }\n\n  // Responsive containers that are 100% wide until a breakpoint\n  @each $breakpoint, $container-max-width in $container-max-widths {\n    .container-#{$breakpoint} {\n      @extend .container-fluid;\n    }\n\n    @include media-breakpoint-up($breakpoint, $grid-breakpoints) {\n      %responsive-container-#{$breakpoint} {\n        max-width: $container-max-width;\n      }\n\n      // Extend each breakpoint which is smaller or equal to the current breakpoint\n      $extend-breakpoint: true;\n\n      @each $name, $width in $grid-breakpoints {\n        @if ($extend-breakpoint) {\n          .container#{breakpoint-infix($name, $grid-breakpoints)} {\n            @extend %responsive-container-#{$breakpoint};\n          }\n\n          // Once the current breakpoint is reached, stop extending\n          @if ($breakpoint == $name) {\n            $extend-breakpoint: false;\n          }\n        }\n      }\n    }\n  }\n}\n","// Container mixins\n\n@mixin make-container($gutter: $container-padding-x) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  width: 100%;\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-right: auto;\n  margin-left: auto;\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n","// Row\n//\n// Rows contain your columns.\n\n:root {\n  @each $name, $value in $grid-breakpoints {\n    --#{$prefix}breakpoint-#{$name}: #{$value};\n  }\n}\n\n@if $enable-grid-classes {\n  .row {\n    @include make-row();\n\n    > * {\n      @include make-col-ready();\n    }\n  }\n}\n\n@if $enable-cssgrid {\n  .grid {\n    display: grid;\n    grid-template-rows: repeat(var(--#{$prefix}rows, 1), 1fr);\n    grid-template-columns: repeat(var(--#{$prefix}columns, #{$grid-columns}), 1fr);\n    gap: var(--#{$prefix}gap, #{$grid-gutter-width});\n\n    @include make-cssgrid();\n  }\n}\n\n\n// Columns\n//\n// Common styles for small and large grid columns\n\n@if $enable-grid-classes {\n  @include make-grid-columns();\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is and invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","//\n// Basic Bootstrap table\n//\n\n.table {\n  // Reset needed for nesting tables\n  --#{$prefix}table-color-type: initial;\n  --#{$prefix}table-bg-type: initial;\n  --#{$prefix}table-color-state: initial;\n  --#{$prefix}table-bg-state: initial;\n  // End of reset\n  --#{$prefix}table-color: #{$table-color};\n  --#{$prefix}table-bg: #{$table-bg};\n  --#{$prefix}table-border-color: #{$table-border-color};\n  --#{$prefix}table-accent-bg: #{$table-accent-bg};\n  --#{$prefix}table-striped-color: #{$table-striped-color};\n  --#{$prefix}table-striped-bg: #{$table-striped-bg};\n  --#{$prefix}table-active-color: #{$table-active-color};\n  --#{$prefix}table-active-bg: #{$table-active-bg};\n  --#{$prefix}table-hover-color: #{$table-hover-color};\n  --#{$prefix}table-hover-bg: #{$table-hover-bg};\n\n  width: 100%;\n  margin-bottom: $spacer;\n  vertical-align: $table-cell-vertical-align;\n  border-color: var(--#{$prefix}table-border-color);\n\n  // Target th & td\n  // We need the child combinator to prevent styles leaking to nested tables which doesn't have a `.table` class.\n  // We use the universal selectors here to simplify the selector (else we would need 6 different selectors).\n  // Another advantage is that this generates less code and makes the selector less specific making it easier to override.\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    padding: $table-cell-padding-y $table-cell-padding-x;\n    // Following the precept of cascades: https://codepen.io/miriamsuzanne/full/vYNgodb\n    color: var(--#{$prefix}table-color-state, var(--#{$prefix}table-color-type, var(--#{$prefix}table-color)));\n    background-color: var(--#{$prefix}table-bg);\n    border-bottom-width: $table-border-width;\n    box-shadow: inset 0 0 0 9999px var(--#{$prefix}table-bg-state, var(--#{$prefix}table-bg-type, var(--#{$prefix}table-accent-bg)));\n  }\n\n  > tbody {\n    vertical-align: inherit;\n  }\n\n  > thead {\n    vertical-align: bottom;\n  }\n}\n\n.table-group-divider {\n  border-top: calc(#{$table-border-width} * 2) solid $table-group-separator-color; // stylelint-disable-line function-disallowed-list\n}\n\n//\n// Change placement of captions with a class\n//\n\n.caption-top {\n  caption-side: top;\n}\n\n\n//\n// Condensed table w/ half padding\n//\n\n.table-sm {\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    padding: $table-cell-padding-y-sm $table-cell-padding-x-sm;\n  }\n}\n\n\n// Border versions\n//\n// Add or remove borders all around the table and between all the columns.\n//\n// When borders are added on all sides of the cells, the corners can render odd when\n// these borders do not have the same color or if they are semi-transparent.\n// Therefor we add top and border bottoms to the `tr`s and left and right borders\n// to the `td`s or `th`s\n\n.table-bordered {\n  > :not(caption) > * {\n    border-width: $table-border-width 0;\n\n    // stylelint-disable-next-line selector-max-universal\n    > * {\n      border-width: 0 $table-border-width;\n    }\n  }\n}\n\n.table-borderless {\n  // stylelint-disable-next-line selector-max-universal\n  > :not(caption) > * > * {\n    border-bottom-width: 0;\n  }\n\n  > :not(:first-child) {\n    border-top-width: 0;\n  }\n}\n\n// Zebra-striping\n//\n// Default zebra-stripe styles (alternating gray and transparent backgrounds)\n\n// For rows\n.table-striped {\n  > tbody > tr:nth-of-type(#{$table-striped-order}) > * {\n    --#{$prefix}table-color-type: var(--#{$prefix}table-striped-color);\n    --#{$prefix}table-bg-type: var(--#{$prefix}table-striped-bg);\n  }\n}\n\n// For columns\n.table-striped-columns {\n  > :not(caption) > tr > :nth-child(#{$table-striped-columns-order}) {\n    --#{$prefix}table-color-type: var(--#{$prefix}table-striped-color);\n    --#{$prefix}table-bg-type: var(--#{$prefix}table-striped-bg);\n  }\n}\n\n// Active table\n//\n// The `.table-active` class can be added to highlight rows or cells\n\n.table-active {\n  --#{$prefix}table-color-state: var(--#{$prefix}table-active-color);\n  --#{$prefix}table-bg-state: var(--#{$prefix}table-active-bg);\n}\n\n// Hover effect\n//\n// Placed here since it has to come after the potential zebra striping\n\n.table-hover {\n  > tbody > tr:hover > * {\n    --#{$prefix}table-color-state: var(--#{$prefix}table-hover-color);\n    --#{$prefix}table-bg-state: var(--#{$prefix}table-hover-bg);\n  }\n}\n\n\n// Table variants\n//\n// Table variants set the table cell backgrounds, border colors\n// and the colors of the striped, hovered & active tables\n\n@each $color, $value in $table-variants {\n  @include table-variant($color, $value);\n}\n\n// Responsive tables\n//\n// Generate series of `.table-responsive-*` classes for configuring the screen\n// size of where your table will overflow.\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n  @include media-breakpoint-down($breakpoint) {\n    .table-responsive#{$infix} {\n      overflow-x: auto;\n      -webkit-overflow-scrolling: touch;\n    }\n  }\n}\n","// scss-docs-start table-variant\n@mixin table-variant($state, $background) {\n  .table-#{$state} {\n    $color: color-contrast(opaque($body-bg, $background));\n    $hover-bg: mix($color, $background, percentage($table-hover-bg-factor));\n    $striped-bg: mix($color, $background, percentage($table-striped-bg-factor));\n    $active-bg: mix($color, $background, percentage($table-active-bg-factor));\n    $table-border-color: mix($color, $background, percentage($table-border-factor));\n\n    --#{$prefix}table-color: #{$color};\n    --#{$prefix}table-bg: #{$background};\n    --#{$prefix}table-border-color: #{$table-border-color};\n    --#{$prefix}table-striped-bg: #{$striped-bg};\n    --#{$prefix}table-striped-color: #{color-contrast($striped-bg)};\n    --#{$prefix}table-active-bg: #{$active-bg};\n    --#{$prefix}table-active-color: #{color-contrast($active-bg)};\n    --#{$prefix}table-hover-bg: #{$hover-bg};\n    --#{$prefix}table-hover-color: #{color-contrast($hover-bg)};\n\n    color: var(--#{$prefix}table-color);\n    border-color: var(--#{$prefix}table-border-color);\n  }\n}\n// scss-docs-end table-variant\n","//\n// Labels\n//\n\n.form-label {\n  margin-bottom: $form-label-margin-bottom;\n  @include font-size($form-label-font-size);\n  font-style: $form-label-font-style;\n  font-weight: $form-label-font-weight;\n  color: $form-label-color;\n}\n\n// For use with horizontal and inline forms, when you need the label (or legend)\n// text to align with the form controls.\n.col-form-label {\n  padding-top: add($input-padding-y, $input-border-width);\n  padding-bottom: add($input-padding-y, $input-border-width);\n  margin-bottom: 0; // Override the `<legend>` default\n  @include font-size(inherit); // Override the `<legend>` default\n  font-style: $form-label-font-style;\n  font-weight: $form-label-font-weight;\n  line-height: $input-line-height;\n  color: $form-label-color;\n}\n\n.col-form-label-lg {\n  padding-top: add($input-padding-y-lg, $input-border-width);\n  padding-bottom: add($input-padding-y-lg, $input-border-width);\n  @include font-size($input-font-size-lg);\n}\n\n.col-form-label-sm {\n  padding-top: add($input-padding-y-sm, $input-border-width);\n  padding-bottom: add($input-padding-y-sm, $input-border-width);\n  @include font-size($input-font-size-sm);\n}\n","//\n// Form text\n//\n\n.form-text {\n  margin-top: $form-text-margin-top;\n  @include font-size($form-text-font-size);\n  font-style: $form-text-font-style;\n  font-weight: $form-text-font-weight;\n  color: $form-text-color;\n}\n","//\n// General form controls (plus a few specific high-level interventions)\n//\n\n.form-control {\n  display: block;\n  width: 100%;\n  padding: $input-padding-y $input-padding-x;\n  font-family: $input-font-family;\n  @include font-size($input-font-size);\n  font-weight: $input-font-weight;\n  line-height: $input-line-height;\n  color: $input-color;\n  appearance: none; // Fix appearance for date inputs in Safari\n  background-color: $input-bg;\n  background-clip: padding-box;\n  border: $input-border-width solid $input-border-color;\n\n  // Note: This has no effect on <select>s in some browsers, due to the limited stylability of `<select>`s in CSS.\n  @include border-radius($input-border-radius, 0);\n\n  @include box-shadow($input-box-shadow);\n  @include transition($input-transition);\n\n  &[type=\"file\"] {\n    overflow: hidden; // prevent pseudo element button overlap\n\n    &:not(:disabled):not([readonly]) {\n      cursor: pointer;\n    }\n  }\n\n  // Customize the `:focus` state to imitate native WebKit styles.\n  &:focus {\n    color: $input-focus-color;\n    background-color: $input-focus-bg;\n    border-color: $input-focus-border-color;\n    outline: 0;\n    @if $enable-shadows {\n      @include box-shadow($input-box-shadow, $input-focus-box-shadow);\n    } @else {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      box-shadow: $input-focus-box-shadow;\n    }\n  }\n\n  &::-webkit-date-and-time-value {\n    // On Android Chrome, form-control's \"width: 100%\" makes the input width too small\n    // Tested under Android 11 / Chrome 89, Android 12 / Chrome 100, Android 13 / Chrome 109\n    //\n    // On iOS Safari, form-control's \"appearance: none\" + \"width: 100%\" makes the input width too small\n    // Tested under iOS 16.2 / Safari 16.2\n    min-width: 85px; // Seems to be a good minimum safe width\n\n    // Add some height to date inputs on iOS\n    // https://github.com/twbs/bootstrap/issues/23307\n    // TODO: we can remove this workaround once https://bugs.webkit.org/show_bug.cgi?id=198959 is resolved\n    // Multiply line-height by 1em if it has no unit\n    height: if(unit($input-line-height) == \"\", $input-line-height * 1em, $input-line-height);\n\n    // Android Chrome type=\"date\" is taller than the other inputs\n    // because of \"margin: 1px 24px 1px 4px\" inside the shadow DOM\n    // Tested under Android 11 / Chrome 89, Android 12 / Chrome 100, Android 13 / Chrome 109\n    margin: 0;\n  }\n\n  // Prevent excessive date input height in Webkit\n  // https://github.com/twbs/bootstrap/issues/34433\n  &::-webkit-datetime-edit {\n    display: block;\n    padding: 0;\n  }\n\n  // Placeholder\n  &::placeholder {\n    color: $input-placeholder-color;\n    // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526.\n    opacity: 1;\n  }\n\n  // Disabled inputs\n  //\n  // HTML5 says that controls under a fieldset > legend:first-child won't be\n  // disabled if the fieldset is disabled. Due to implementation difficulty, we\n  // don't honor that edge case; we style them as disabled anyway.\n  &:disabled {\n    color: $input-disabled-color;\n    background-color: $input-disabled-bg;\n    border-color: $input-disabled-border-color;\n    // iOS fix for unreadable disabled content; see https://github.com/twbs/bootstrap/issues/11655.\n    opacity: 1;\n  }\n\n  // File input buttons theming\n  &::file-selector-button {\n    padding: $input-padding-y $input-padding-x;\n    margin: (-$input-padding-y) (-$input-padding-x);\n    margin-inline-end: $input-padding-x;\n    color: $form-file-button-color;\n    @include gradient-bg($form-file-button-bg);\n    pointer-events: none;\n    border-color: inherit;\n    border-style: solid;\n    border-width: 0;\n    border-inline-end-width: $input-border-width;\n    border-radius: 0; // stylelint-disable-line property-disallowed-list\n    @include transition($btn-transition);\n  }\n\n  &:hover:not(:disabled):not([readonly])::file-selector-button {\n    background-color: $form-file-button-hover-bg;\n  }\n}\n\n// Readonly controls as plain text\n//\n// Apply class to a readonly input to make it appear like regular plain\n// text (without any border, background color, focus indicator)\n\n.form-control-plaintext {\n  display: block;\n  width: 100%;\n  padding: $input-padding-y 0;\n  margin-bottom: 0; // match inputs if this class comes on inputs with default margins\n  line-height: $input-line-height;\n  color: $input-plaintext-color;\n  background-color: transparent;\n  border: solid transparent;\n  border-width: $input-border-width 0;\n\n  &:focus {\n    outline: 0;\n  }\n\n  &.form-control-sm,\n  &.form-control-lg {\n    padding-right: 0;\n    padding-left: 0;\n  }\n}\n\n// Form control sizing\n//\n// Build on `.form-control` with modifier classes to decrease or increase the\n// height and font-size of form controls.\n//\n// Repeated in `_input_group.scss` to avoid Sass extend issues.\n\n.form-control-sm {\n  min-height: $input-height-sm;\n  padding: $input-padding-y-sm $input-padding-x-sm;\n  @include font-size($input-font-size-sm);\n  @include border-radius($input-border-radius-sm);\n\n  &::file-selector-button {\n    padding: $input-padding-y-sm $input-padding-x-sm;\n    margin: (-$input-padding-y-sm) (-$input-padding-x-sm);\n    margin-inline-end: $input-padding-x-sm;\n  }\n}\n\n.form-control-lg {\n  min-height: $input-height-lg;\n  padding: $input-padding-y-lg $input-padding-x-lg;\n  @include font-size($input-font-size-lg);\n  @include border-radius($input-border-radius-lg);\n\n  &::file-selector-button {\n    padding: $input-padding-y-lg $input-padding-x-lg;\n    margin: (-$input-padding-y-lg) (-$input-padding-x-lg);\n    margin-inline-end: $input-padding-x-lg;\n  }\n}\n\n// Make sure textareas don't shrink too much when resized\n// https://github.com/twbs/bootstrap/pull/29124\n// stylelint-disable selector-no-qualifying-type\ntextarea {\n  &.form-control {\n    min-height: $input-height;\n  }\n\n  &.form-control-sm {\n    min-height: $input-height-sm;\n  }\n\n  &.form-control-lg {\n    min-height: $input-height-lg;\n  }\n}\n// stylelint-enable selector-no-qualifying-type\n\n.form-control-color {\n  width: $form-color-width;\n  height: $input-height;\n  padding: $input-padding-y;\n\n  &:not(:disabled):not([readonly]) {\n    cursor: pointer;\n  }\n\n  &::-moz-color-swatch {\n    border: 0 !important; // stylelint-disable-line declaration-no-important\n    @include border-radius($input-border-radius);\n  }\n\n  &::-webkit-color-swatch {\n    border: 0 !important; // stylelint-disable-line declaration-no-important\n    @include border-radius($input-border-radius);\n  }\n\n  &.form-control-sm { height: $input-height-sm; }\n  &.form-control-lg { height: $input-height-lg; }\n}\n","// stylelint-disable property-disallowed-list\n@mixin transition($transition...) {\n  @if length($transition) == 0 {\n    $transition: $transition-base;\n  }\n\n  @if length($transition) > 1 {\n    @each $value in $transition {\n      @if $value == null or $value == none {\n        @warn \"The keyword 'none' or 'null' must be used as a single argument.\";\n      }\n    }\n  }\n\n  @if $enable-transitions {\n    @if nth($transition, 1) != null {\n      transition: $transition;\n    }\n\n    @if $enable-reduced-motion and nth($transition, 1) != null and nth($transition, 1) != none {\n      @media (prefers-reduced-motion: reduce) {\n        transition: none;\n      }\n    }\n  }\n}\n","// Gradients\n\n// scss-docs-start gradient-bg-mixin\n@mixin gradient-bg($color: null) {\n  background-color: $color;\n\n  @if $enable-gradients {\n    background-image: var(--#{$prefix}gradient);\n  }\n}\n// scss-docs-end gradient-bg-mixin\n\n// scss-docs-start gradient-mixins\n// Horizontal gradient, from left to right\n//\n// Creates two color stops, start and end, by specifying a color and position for each color stop.\n@mixin gradient-x($start-color: $gray-700, $end-color: $gray-800, $start-percent: 0%, $end-percent: 100%) {\n  background-image: linear-gradient(to right, $start-color $start-percent, $end-color $end-percent);\n}\n\n// Vertical gradient, from top to bottom\n//\n// Creates two color stops, start and end, by specifying a color and position for each color stop.\n@mixin gradient-y($start-color: $gray-700, $end-color: $gray-800, $start-percent: null, $end-percent: null) {\n  background-image: linear-gradient(to bottom, $start-color $start-percent, $end-color $end-percent);\n}\n\n@mixin gradient-directional($start-color: $gray-700, $end-color: $gray-800, $deg: 45deg) {\n  background-image: linear-gradient($deg, $start-color, $end-color);\n}\n\n@mixin gradient-x-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient(to right, $start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-y-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient($start-color, $mid-color $color-stop, $end-color);\n}\n\n@mixin gradient-radial($inner-color: $gray-700, $outer-color: $gray-800) {\n  background-image: radial-gradient(circle, $inner-color, $outer-color);\n}\n\n@mixin gradient-striped($color: rgba($white, .15), $angle: 45deg) {\n  background-image: linear-gradient($angle, $color 25%, transparent 25%, transparent 50%, $color 50%, $color 75%, transparent 75%, transparent);\n}\n// scss-docs-end gradient-mixins\n","// Select\n//\n// Replaces the browser default select with a custom one, mostly pulled from\n// https://primer.github.io/.\n\n.form-select {\n  --#{$prefix}form-select-bg-img: #{escape-svg($form-select-indicator)};\n\n  display: block;\n  width: 100%;\n  padding: $form-select-padding-y $form-select-indicator-padding $form-select-padding-y $form-select-padding-x;\n  font-family: $form-select-font-family;\n  @include font-size($form-select-font-size);\n  font-weight: $form-select-font-weight;\n  line-height: $form-select-line-height;\n  color: $form-select-color;\n  appearance: none;\n  background-color: $form-select-bg;\n  background-image: var(--#{$prefix}form-select-bg-img), var(--#{$prefix}form-select-bg-icon, none);\n  background-repeat: no-repeat;\n  background-position: $form-select-bg-position;\n  background-size: $form-select-bg-size;\n  border: $form-select-border-width solid $form-select-border-color;\n  @include border-radius($form-select-border-radius, 0);\n  @include box-shadow($form-select-box-shadow);\n  @include transition($form-select-transition);\n\n  &:focus {\n    border-color: $form-select-focus-border-color;\n    outline: 0;\n    @if $enable-shadows {\n      @include box-shadow($form-select-box-shadow, $form-select-focus-box-shadow);\n    } @else {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      box-shadow: $form-select-focus-box-shadow;\n    }\n  }\n\n  &[multiple],\n  &[size]:not([size=\"1\"]) {\n    padding-right: $form-select-padding-x;\n    background-image: none;\n  }\n\n  &:disabled {\n    color: $form-select-disabled-color;\n    background-color: $form-select-disabled-bg;\n    border-color: $form-select-disabled-border-color;\n  }\n\n  // Remove outline from select box in FF\n  &:-moz-focusring {\n    color: transparent;\n    text-shadow: 0 0 0 $form-select-color;\n  }\n}\n\n.form-select-sm {\n  padding-top: $form-select-padding-y-sm;\n  padding-bottom: $form-select-padding-y-sm;\n  padding-left: $form-select-padding-x-sm;\n  @include font-size($form-select-font-size-sm);\n  @include border-radius($form-select-border-radius-sm);\n}\n\n.form-select-lg {\n  padding-top: $form-select-padding-y-lg;\n  padding-bottom: $form-select-padding-y-lg;\n  padding-left: $form-select-padding-x-lg;\n  @include font-size($form-select-font-size-lg);\n  @include border-radius($form-select-border-radius-lg);\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .form-select {\n      --#{$prefix}form-select-bg-img: #{escape-svg($form-select-indicator-dark)};\n    }\n  }\n}\n","//\n// Check/radio\n//\n\n.form-check {\n  display: block;\n  min-height: $form-check-min-height;\n  padding-left: $form-check-padding-start;\n  margin-bottom: $form-check-margin-bottom;\n\n  .form-check-input {\n    float: left;\n    margin-left: $form-check-padding-start * -1;\n  }\n}\n\n.form-check-reverse {\n  padding-right: $form-check-padding-start;\n  padding-left: 0;\n  text-align: right;\n\n  .form-check-input {\n    float: right;\n    margin-right: $form-check-padding-start * -1;\n    margin-left: 0;\n  }\n}\n\n.form-check-input {\n  --#{$prefix}form-check-bg: #{$form-check-input-bg};\n\n  flex-shrink: 0;\n  width: $form-check-input-width;\n  height: $form-check-input-width;\n  margin-top: ($line-height-base - $form-check-input-width) * .5; // line-height minus check height\n  vertical-align: top;\n  appearance: none;\n  background-color: var(--#{$prefix}form-check-bg);\n  background-image: var(--#{$prefix}form-check-bg-image);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: contain;\n  border: $form-check-input-border;\n  print-color-adjust: exact; // Keep themed appearance for print\n  @include transition($form-check-transition);\n\n  &[type=\"checkbox\"] {\n    @include border-radius($form-check-input-border-radius);\n  }\n\n  &[type=\"radio\"] {\n    // stylelint-disable-next-line property-disallowed-list\n    border-radius: $form-check-radio-border-radius;\n  }\n\n  &:active {\n    filter: $form-check-input-active-filter;\n  }\n\n  &:focus {\n    border-color: $form-check-input-focus-border;\n    outline: 0;\n    box-shadow: $form-check-input-focus-box-shadow;\n  }\n\n  &:checked {\n    background-color: $form-check-input-checked-bg-color;\n    border-color: $form-check-input-checked-border-color;\n\n    &[type=\"checkbox\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-checked-bg-image)};\n      }\n    }\n\n    &[type=\"radio\"] {\n      @if $enable-gradients {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-radio-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-check-bg-image: #{escape-svg($form-check-radio-checked-bg-image)};\n      }\n    }\n  }\n\n  &[type=\"checkbox\"]:indeterminate {\n    background-color: $form-check-input-indeterminate-bg-color;\n    border-color: $form-check-input-indeterminate-border-color;\n\n    @if $enable-gradients {\n      --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-indeterminate-bg-image)}, var(--#{$prefix}gradient);\n    } @else {\n      --#{$prefix}form-check-bg-image: #{escape-svg($form-check-input-indeterminate-bg-image)};\n    }\n  }\n\n  &:disabled {\n    pointer-events: none;\n    filter: none;\n    opacity: $form-check-input-disabled-opacity;\n  }\n\n  // Use disabled attribute in addition of :disabled pseudo-class\n  // See: https://github.com/twbs/bootstrap/issues/28247\n  &[disabled],\n  &:disabled {\n    ~ .form-check-label {\n      cursor: default;\n      opacity: $form-check-label-disabled-opacity;\n    }\n  }\n}\n\n.form-check-label {\n  color: $form-check-label-color;\n  cursor: $form-check-label-cursor;\n}\n\n//\n// Switch\n//\n\n.form-switch {\n  padding-left: $form-switch-padding-start;\n\n  .form-check-input {\n    --#{$prefix}form-switch-bg: #{escape-svg($form-switch-bg-image)};\n\n    width: $form-switch-width;\n    margin-left: $form-switch-padding-start * -1;\n    background-image: var(--#{$prefix}form-switch-bg);\n    background-position: left center;\n    @include border-radius($form-switch-border-radius);\n    @include transition($form-switch-transition);\n\n    &:focus {\n      --#{$prefix}form-switch-bg: #{escape-svg($form-switch-focus-bg-image)};\n    }\n\n    &:checked {\n      background-position: $form-switch-checked-bg-position;\n\n      @if $enable-gradients {\n        --#{$prefix}form-switch-bg: #{escape-svg($form-switch-checked-bg-image)}, var(--#{$prefix}gradient);\n      } @else {\n        --#{$prefix}form-switch-bg: #{escape-svg($form-switch-checked-bg-image)};\n      }\n    }\n  }\n\n  &.form-check-reverse {\n    padding-right: $form-switch-padding-start;\n    padding-left: 0;\n\n    .form-check-input {\n      margin-right: $form-switch-padding-start * -1;\n      margin-left: 0;\n    }\n  }\n}\n\n.form-check-inline {\n  display: inline-block;\n  margin-right: $form-check-inline-margin-end;\n}\n\n.btn-check {\n  position: absolute;\n  clip: rect(0, 0, 0, 0);\n  pointer-events: none;\n\n  &[disabled],\n  &:disabled {\n    + .btn {\n      pointer-events: none;\n      filter: none;\n      opacity: $form-check-btn-check-disabled-opacity;\n    }\n  }\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .form-switch .form-check-input:not(:checked):not(:focus) {\n      --#{$prefix}form-switch-bg: #{escape-svg($form-switch-bg-image-dark)};\n    }\n  }\n}\n","// Range\n//\n// Style range inputs the same across browsers. Vendor-specific rules for pseudo\n// elements cannot be mixed. As such, there are no shared styles for focus or\n// active states on prefixed selectors.\n\n.form-range {\n  width: 100%;\n  height: add($form-range-thumb-height, $form-range-thumb-focus-box-shadow-width * 2);\n  padding: 0; // Need to reset padding\n  appearance: none;\n  background-color: transparent;\n\n  &:focus {\n    outline: 0;\n\n    // Pseudo-elements must be split across multiple rulesets to have an effect.\n    // No box-shadow() mixin for focus accessibility.\n    &::-webkit-slider-thumb { box-shadow: $form-range-thumb-focus-box-shadow; }\n    &::-moz-range-thumb     { box-shadow: $form-range-thumb-focus-box-shadow; }\n  }\n\n  &::-moz-focus-outer {\n    border: 0;\n  }\n\n  &::-webkit-slider-thumb {\n    width: $form-range-thumb-width;\n    height: $form-range-thumb-height;\n    margin-top: ($form-range-track-height - $form-range-thumb-height) * .5; // Webkit specific\n    appearance: none;\n    @include gradient-bg($form-range-thumb-bg);\n    border: $form-range-thumb-border;\n    @include border-radius($form-range-thumb-border-radius);\n    @include box-shadow($form-range-thumb-box-shadow);\n    @include transition($form-range-thumb-transition);\n\n    &:active {\n      @include gradient-bg($form-range-thumb-active-bg);\n    }\n  }\n\n  &::-webkit-slider-runnable-track {\n    width: $form-range-track-width;\n    height: $form-range-track-height;\n    color: transparent; // Why?\n    cursor: $form-range-track-cursor;\n    background-color: $form-range-track-bg;\n    border-color: transparent;\n    @include border-radius($form-range-track-border-radius);\n    @include box-shadow($form-range-track-box-shadow);\n  }\n\n  &::-moz-range-thumb {\n    width: $form-range-thumb-width;\n    height: $form-range-thumb-height;\n    appearance: none;\n    @include gradient-bg($form-range-thumb-bg);\n    border: $form-range-thumb-border;\n    @include border-radius($form-range-thumb-border-radius);\n    @include box-shadow($form-range-thumb-box-shadow);\n    @include transition($form-range-thumb-transition);\n\n    &:active {\n      @include gradient-bg($form-range-thumb-active-bg);\n    }\n  }\n\n  &::-moz-range-track {\n    width: $form-range-track-width;\n    height: $form-range-track-height;\n    color: transparent;\n    cursor: $form-range-track-cursor;\n    background-color: $form-range-track-bg;\n    border-color: transparent; // Firefox specific?\n    @include border-radius($form-range-track-border-radius);\n    @include box-shadow($form-range-track-box-shadow);\n  }\n\n  &:disabled {\n    pointer-events: none;\n\n    &::-webkit-slider-thumb {\n      background-color: $form-range-thumb-disabled-bg;\n    }\n\n    &::-moz-range-thumb {\n      background-color: $form-range-thumb-disabled-bg;\n    }\n  }\n}\n",".form-floating {\n  position: relative;\n\n  > .form-control,\n  > .form-control-plaintext,\n  > .form-select {\n    height: $form-floating-height;\n    min-height: $form-floating-height;\n    line-height: $form-floating-line-height;\n  }\n\n  > label {\n    position: absolute;\n    top: 0;\n    left: 0;\n    z-index: 2;\n    height: 100%; // allow textareas\n    padding: $form-floating-padding-y $form-floating-padding-x;\n    overflow: hidden;\n    text-align: start;\n    text-overflow: ellipsis;\n    white-space: nowrap;\n    pointer-events: none;\n    border: $input-border-width solid transparent; // Required for aligning label's text with the input as it affects inner box model\n    transform-origin: 0 0;\n    @include transition($form-floating-transition);\n  }\n\n  > .form-control,\n  > .form-control-plaintext {\n    padding: $form-floating-padding-y $form-floating-padding-x;\n\n    &::placeholder {\n      color: transparent;\n    }\n\n    &:focus,\n    &:not(:placeholder-shown) {\n      padding-top: $form-floating-input-padding-t;\n      padding-bottom: $form-floating-input-padding-b;\n    }\n    // Duplicated because `:-webkit-autofill` invalidates other selectors when grouped\n    &:-webkit-autofill {\n      padding-top: $form-floating-input-padding-t;\n      padding-bottom: $form-floating-input-padding-b;\n    }\n  }\n\n  > .form-select {\n    padding-top: $form-floating-input-padding-t;\n    padding-bottom: $form-floating-input-padding-b;\n  }\n\n  > .form-control:focus,\n  > .form-control:not(:placeholder-shown),\n  > .form-control-plaintext,\n  > .form-select {\n    ~ label {\n      color: rgba(var(--#{$prefix}body-color-rgb), #{$form-floating-label-opacity});\n      transform: $form-floating-label-transform;\n\n      &::after {\n        position: absolute;\n        inset: $form-floating-padding-y ($form-floating-padding-x * .5);\n        z-index: -1;\n        height: $form-floating-label-height;\n        content: \"\";\n        background-color: $input-bg;\n        @include border-radius($input-border-radius);\n      }\n    }\n  }\n  // Duplicated because `:-webkit-autofill` invalidates other selectors when grouped\n  > .form-control:-webkit-autofill {\n    ~ label {\n      color: rgba(var(--#{$prefix}body-color-rgb), #{$form-floating-label-opacity});\n      transform: $form-floating-label-transform;\n    }\n  }\n\n  > .form-control-plaintext {\n    ~ label {\n      border-width: $input-border-width 0; // Required to properly position label text - as explained above\n    }\n  }\n\n  > :disabled ~ label,\n  > .form-control:disabled ~ label { // Required for `.form-control`s because of specificity\n    color: $form-floating-label-disabled-color;\n\n    &::after {\n      background-color: $input-disabled-bg;\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.input-group {\n  position: relative;\n  display: flex;\n  flex-wrap: wrap; // For form validation feedback\n  align-items: stretch;\n  width: 100%;\n\n  > .form-control,\n  > .form-select,\n  > .form-floating {\n    position: relative; // For focus state's z-index\n    flex: 1 1 auto;\n    width: 1%;\n    min-width: 0; // https://stackoverflow.com/questions/36247140/why-dont-flex-items-shrink-past-content-size\n  }\n\n  // Bring the \"active\" form control to the top of surrounding elements\n  > .form-control:focus,\n  > .form-select:focus,\n  > .form-floating:focus-within {\n    z-index: 5;\n  }\n\n  // Ensure buttons are always above inputs for more visually pleasing borders.\n  // This isn't needed for `.input-group-text` since it shares the same border-color\n  // as our inputs.\n  .btn {\n    position: relative;\n    z-index: 2;\n\n    &:focus {\n      z-index: 5;\n    }\n  }\n}\n\n\n// Textual addons\n//\n// Serves as a catch-all element for any text or radio/checkbox input you wish\n// to prepend or append to an input.\n\n.input-group-text {\n  display: flex;\n  align-items: center;\n  padding: $input-group-addon-padding-y $input-group-addon-padding-x;\n  @include font-size($input-font-size); // Match inputs\n  font-weight: $input-group-addon-font-weight;\n  line-height: $input-line-height;\n  color: $input-group-addon-color;\n  text-align: center;\n  white-space: nowrap;\n  background-color: $input-group-addon-bg;\n  border: $input-border-width solid $input-group-addon-border-color;\n  @include border-radius($input-border-radius);\n}\n\n\n// Sizing\n//\n// Remix the default form control sizing classes into new ones for easier\n// manipulation.\n\n.input-group-lg > .form-control,\n.input-group-lg > .form-select,\n.input-group-lg > .input-group-text,\n.input-group-lg > .btn {\n  padding: $input-padding-y-lg $input-padding-x-lg;\n  @include font-size($input-font-size-lg);\n  @include border-radius($input-border-radius-lg);\n}\n\n.input-group-sm > .form-control,\n.input-group-sm > .form-select,\n.input-group-sm > .input-group-text,\n.input-group-sm > .btn {\n  padding: $input-padding-y-sm $input-padding-x-sm;\n  @include font-size($input-font-size-sm);\n  @include border-radius($input-border-radius-sm);\n}\n\n.input-group-lg > .form-select,\n.input-group-sm > .form-select {\n  padding-right: $form-select-padding-x + $form-select-indicator-padding;\n}\n\n\n// Rounded corners\n//\n// These rulesets must come after the sizing ones to properly override sm and lg\n// border-radius values when extending. They're more specific than we'd like\n// with the `.input-group >` part, but without it, we cannot override the sizing.\n\n// stylelint-disable-next-line no-duplicate-selectors\n.input-group {\n  &:not(.has-validation) {\n    > :not(:last-child):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n    > .dropdown-toggle:nth-last-child(n + 3),\n    > .form-floating:not(:last-child) > .form-control,\n    > .form-floating:not(:last-child) > .form-select {\n      @include border-end-radius(0);\n    }\n  }\n\n  &.has-validation {\n    > :nth-last-child(n + 3):not(.dropdown-toggle):not(.dropdown-menu):not(.form-floating),\n    > .dropdown-toggle:nth-last-child(n + 4),\n    > .form-floating:nth-last-child(n + 3) > .form-control,\n    > .form-floating:nth-last-child(n + 3) > .form-select {\n      @include border-end-radius(0);\n    }\n  }\n\n  $validation-messages: \"\";\n  @each $state in map-keys($form-validation-states) {\n    $validation-messages: $validation-messages + \":not(.\" + unquote($state) + \"-tooltip)\" + \":not(.\" + unquote($state) + \"-feedback)\";\n  }\n\n  > :not(:first-child):not(.dropdown-menu)#{$validation-messages} {\n    margin-left: calc(#{$input-border-width} * -1); // stylelint-disable-line function-disallowed-list\n    @include border-start-radius(0);\n  }\n\n  > .form-floating:not(:first-child) > .form-control,\n  > .form-floating:not(:first-child) > .form-select {\n    @include border-start-radius(0);\n  }\n}\n","// This mixin uses an `if()` technique to be compatible with Dart Sass\n// See https://github.com/sass/sass/issues/1873#issuecomment-152293725 for more details\n\n// scss-docs-start form-validation-mixins\n@mixin form-validation-state-selector($state) {\n  @if ($state == \"valid\" or $state == \"invalid\") {\n    .was-validated #{if(&, \"&\", \"\")}:#{$state},\n    #{if(&, \"&\", \"\")}.is-#{$state} {\n      @content;\n    }\n  } @else {\n    #{if(&, \"&\", \"\")}.is-#{$state} {\n      @content;\n    }\n  }\n}\n\n@mixin form-validation-state(\n  $state,\n  $color,\n  $icon,\n  $tooltip-color: color-contrast($color),\n  $tooltip-bg-color: rgba($color, $form-feedback-tooltip-opacity),\n  $focus-box-shadow: 0 0 $input-btn-focus-blur $input-focus-width rgba($color, $input-btn-focus-color-opacity),\n  $border-color: $color\n) {\n  .#{$state}-feedback {\n    display: none;\n    width: 100%;\n    margin-top: $form-feedback-margin-top;\n    @include font-size($form-feedback-font-size);\n    font-style: $form-feedback-font-style;\n    color: $color;\n  }\n\n  .#{$state}-tooltip {\n    position: absolute;\n    top: 100%;\n    z-index: 5;\n    display: none;\n    max-width: 100%; // Contain to parent when possible\n    padding: $form-feedback-tooltip-padding-y $form-feedback-tooltip-padding-x;\n    margin-top: .1rem;\n    @include font-size($form-feedback-tooltip-font-size);\n    line-height: $form-feedback-tooltip-line-height;\n    color: $tooltip-color;\n    background-color: $tooltip-bg-color;\n    @include border-radius($form-feedback-tooltip-border-radius);\n  }\n\n  @include form-validation-state-selector($state) {\n    ~ .#{$state}-feedback,\n    ~ .#{$state}-tooltip {\n      display: block;\n    }\n  }\n\n  .form-control {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      @if $enable-validation-icons {\n        padding-right: $input-height-inner;\n        background-image: escape-svg($icon);\n        background-repeat: no-repeat;\n        background-position: right $input-height-inner-quarter center;\n        background-size: $input-height-inner-half $input-height-inner-half;\n      }\n\n      &:focus {\n        border-color: $border-color;\n        box-shadow: $focus-box-shadow;\n      }\n    }\n  }\n\n  // stylelint-disable-next-line selector-no-qualifying-type\n  textarea.form-control {\n    @include form-validation-state-selector($state) {\n      @if $enable-validation-icons {\n        padding-right: $input-height-inner;\n        background-position: top $input-height-inner-quarter right $input-height-inner-quarter;\n      }\n    }\n  }\n\n  .form-select {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      @if $enable-validation-icons {\n        &:not([multiple]):not([size]),\n        &:not([multiple])[size=\"1\"] {\n          --#{$prefix}form-select-bg-icon: #{escape-svg($icon)};\n          padding-right: $form-select-feedback-icon-padding-end;\n          background-position: $form-select-bg-position, $form-select-feedback-icon-position;\n          background-size: $form-select-bg-size, $form-select-feedback-icon-size;\n        }\n      }\n\n      &:focus {\n        border-color: $border-color;\n        box-shadow: $focus-box-shadow;\n      }\n    }\n  }\n\n  .form-control-color {\n    @include form-validation-state-selector($state) {\n      @if $enable-validation-icons {\n        width: add($form-color-width, $input-height-inner);\n      }\n    }\n  }\n\n  .form-check-input {\n    @include form-validation-state-selector($state) {\n      border-color: $border-color;\n\n      &:checked {\n        background-color: $color;\n      }\n\n      &:focus {\n        box-shadow: $focus-box-shadow;\n      }\n\n      ~ .form-check-label {\n        color: $color;\n      }\n    }\n  }\n  .form-check-inline .form-check-input {\n    ~ .#{$state}-feedback {\n      margin-left: .5em;\n    }\n  }\n\n  .input-group {\n    > .form-control:not(:focus),\n    > .form-select:not(:focus),\n    > .form-floating:not(:focus-within) {\n      @include form-validation-state-selector($state) {\n        @if $state == \"valid\" {\n          z-index: 3;\n        } @else if $state == \"invalid\" {\n          z-index: 4;\n        }\n      }\n    }\n  }\n}\n// scss-docs-end form-validation-mixins\n","//\n// Base styles\n//\n\n.btn {\n  // scss-docs-start btn-css-vars\n  --#{$prefix}btn-padding-x: #{$btn-padding-x};\n  --#{$prefix}btn-padding-y: #{$btn-padding-y};\n  --#{$prefix}btn-font-family: #{$btn-font-family};\n  @include rfs($btn-font-size, --#{$prefix}btn-font-size);\n  --#{$prefix}btn-font-weight: #{$btn-font-weight};\n  --#{$prefix}btn-line-height: #{$btn-line-height};\n  --#{$prefix}btn-color: #{$btn-color};\n  --#{$prefix}btn-bg: transparent;\n  --#{$prefix}btn-border-width: #{$btn-border-width};\n  --#{$prefix}btn-border-color: transparent;\n  --#{$prefix}btn-border-radius: #{$btn-border-radius};\n  --#{$prefix}btn-hover-border-color: transparent;\n  --#{$prefix}btn-box-shadow: #{$btn-box-shadow};\n  --#{$prefix}btn-disabled-opacity: #{$btn-disabled-opacity};\n  --#{$prefix}btn-focus-box-shadow: 0 0 0 #{$btn-focus-width} rgba(var(--#{$prefix}btn-focus-shadow-rgb), .5);\n  // scss-docs-end btn-css-vars\n\n  display: inline-block;\n  padding: var(--#{$prefix}btn-padding-y) var(--#{$prefix}btn-padding-x);\n  font-family: var(--#{$prefix}btn-font-family);\n  @include font-size(var(--#{$prefix}btn-font-size));\n  font-weight: var(--#{$prefix}btn-font-weight);\n  line-height: var(--#{$prefix}btn-line-height);\n  color: var(--#{$prefix}btn-color);\n  text-align: center;\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: $btn-white-space;\n  vertical-align: middle;\n  cursor: if($enable-button-pointers, pointer, null);\n  user-select: none;\n  border: var(--#{$prefix}btn-border-width) solid var(--#{$prefix}btn-border-color);\n  @include border-radius(var(--#{$prefix}btn-border-radius));\n  @include gradient-bg(var(--#{$prefix}btn-bg));\n  @include box-shadow(var(--#{$prefix}btn-box-shadow));\n  @include transition($btn-transition);\n\n  &:hover {\n    color: var(--#{$prefix}btn-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    background-color: var(--#{$prefix}btn-hover-bg);\n    border-color: var(--#{$prefix}btn-hover-border-color);\n  }\n\n  .btn-check + &:hover {\n    // override for the checkbox/radio buttons\n    color: var(--#{$prefix}btn-color);\n    background-color: var(--#{$prefix}btn-bg);\n    border-color: var(--#{$prefix}btn-border-color);\n  }\n\n  &:focus-visible {\n    color: var(--#{$prefix}btn-hover-color);\n    @include gradient-bg(var(--#{$prefix}btn-hover-bg));\n    border-color: var(--#{$prefix}btn-hover-border-color);\n    outline: 0;\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-box-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  .btn-check:focus-visible + & {\n    border-color: var(--#{$prefix}btn-hover-border-color);\n    outline: 0;\n    // Avoid using mixin so we can pass custom focus shadow properly\n    @if $enable-shadows {\n      box-shadow: var(--#{$prefix}btn-box-shadow), var(--#{$prefix}btn-focus-box-shadow);\n    } @else {\n      box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n    }\n  }\n\n  .btn-check:checked + &,\n  :not(.btn-check) + &:active,\n  &:first-child:active,\n  &.active,\n  &.show {\n    color: var(--#{$prefix}btn-active-color);\n    background-color: var(--#{$prefix}btn-active-bg);\n    // Remove CSS gradients if they're enabled\n    background-image: if($enable-gradients, none, null);\n    border-color: var(--#{$prefix}btn-active-border-color);\n    @include box-shadow(var(--#{$prefix}btn-active-shadow));\n\n    &:focus-visible {\n      // Avoid using mixin so we can pass custom focus shadow properly\n      @if $enable-shadows {\n        box-shadow: var(--#{$prefix}btn-active-shadow), var(--#{$prefix}btn-focus-box-shadow);\n      } @else {\n        box-shadow: var(--#{$prefix}btn-focus-box-shadow);\n      }\n    }\n  }\n\n  &:disabled,\n  &.disabled,\n  fieldset:disabled & {\n    color: var(--#{$prefix}btn-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}btn-disabled-bg);\n    background-image: if($enable-gradients, none, null);\n    border-color: var(--#{$prefix}btn-disabled-border-color);\n    opacity: var(--#{$prefix}btn-disabled-opacity);\n    @include box-shadow(none);\n  }\n}\n\n\n//\n// Alternate buttons\n//\n\n// scss-docs-start btn-variant-loops\n@each $color, $value in $theme-colors {\n  .btn-#{$color} {\n    @if $color == \"light\" {\n      @include button-variant(\n        $value,\n        $value,\n        $hover-background: shade-color($value, $btn-hover-bg-shade-amount),\n        $hover-border: shade-color($value, $btn-hover-border-shade-amount),\n        $active-background: shade-color($value, $btn-active-bg-shade-amount),\n        $active-border: shade-color($value, $btn-active-border-shade-amount)\n      );\n    } @else if $color == \"dark\" {\n      @include button-variant(\n        $value,\n        $value,\n        $hover-background: tint-color($value, $btn-hover-bg-tint-amount),\n        $hover-border: tint-color($value, $btn-hover-border-tint-amount),\n        $active-background: tint-color($value, $btn-active-bg-tint-amount),\n        $active-border: tint-color($value, $btn-active-border-tint-amount)\n      );\n    } @else {\n      @include button-variant($value, $value);\n    }\n  }\n}\n\n@each $color, $value in $theme-colors {\n  .btn-outline-#{$color} {\n    @include button-outline-variant($value);\n  }\n}\n// scss-docs-end btn-variant-loops\n\n\n//\n// Link buttons\n//\n\n// Make a button look and behave like a link\n.btn-link {\n  --#{$prefix}btn-font-weight: #{$font-weight-normal};\n  --#{$prefix}btn-color: #{$btn-link-color};\n  --#{$prefix}btn-bg: transparent;\n  --#{$prefix}btn-border-color: transparent;\n  --#{$prefix}btn-hover-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-hover-border-color: transparent;\n  --#{$prefix}btn-active-color: #{$btn-link-hover-color};\n  --#{$prefix}btn-active-border-color: transparent;\n  --#{$prefix}btn-disabled-color: #{$btn-link-disabled-color};\n  --#{$prefix}btn-disabled-border-color: transparent;\n  --#{$prefix}btn-box-shadow: 0 0 0 #000; // Can't use `none` as keyword negates all values when used with multiple shadows\n  --#{$prefix}btn-focus-shadow-rgb: #{$btn-link-focus-shadow-rgb};\n\n  text-decoration: $link-decoration;\n  @if $enable-gradients {\n    background-image: none;\n  }\n\n  &:hover,\n  &:focus-visible {\n    text-decoration: $link-hover-decoration;\n  }\n\n  &:focus-visible {\n    color: var(--#{$prefix}btn-color);\n  }\n\n  &:hover {\n    color: var(--#{$prefix}btn-hover-color);\n  }\n\n  // No need for an active state here\n}\n\n\n//\n// Button Sizes\n//\n\n.btn-lg {\n  @include button-size($btn-padding-y-lg, $btn-padding-x-lg, $btn-font-size-lg, $btn-border-radius-lg);\n}\n\n.btn-sm {\n  @include button-size($btn-padding-y-sm, $btn-padding-x-sm, $btn-font-size-sm, $btn-border-radius-sm);\n}\n","// Button variants\n//\n// Easily pump out default styles, as well as :hover, :focus, :active,\n// and disabled options for all buttons\n\n// scss-docs-start btn-variant-mixin\n@mixin button-variant(\n  $background,\n  $border,\n  $color: color-contrast($background),\n  $hover-background: if($color == $color-contrast-light, shade-color($background, $btn-hover-bg-shade-amount), tint-color($background, $btn-hover-bg-tint-amount)),\n  $hover-border: if($color == $color-contrast-light, shade-color($border, $btn-hover-border-shade-amount), tint-color($border, $btn-hover-border-tint-amount)),\n  $hover-color: color-contrast($hover-background),\n  $active-background: if($color == $color-contrast-light, shade-color($background, $btn-active-bg-shade-amount), tint-color($background, $btn-active-bg-tint-amount)),\n  $active-border: if($color == $color-contrast-light, shade-color($border, $btn-active-border-shade-amount), tint-color($border, $btn-active-border-tint-amount)),\n  $active-color: color-contrast($active-background),\n  $disabled-background: $background,\n  $disabled-border: $border,\n  $disabled-color: color-contrast($disabled-background)\n) {\n  --#{$prefix}btn-color: #{$color};\n  --#{$prefix}btn-bg: #{$background};\n  --#{$prefix}btn-border-color: #{$border};\n  --#{$prefix}btn-hover-color: #{$hover-color};\n  --#{$prefix}btn-hover-bg: #{$hover-background};\n  --#{$prefix}btn-hover-border-color: #{$hover-border};\n  --#{$prefix}btn-focus-shadow-rgb: #{to-rgb(mix($color, $border, 15%))};\n  --#{$prefix}btn-active-color: #{$active-color};\n  --#{$prefix}btn-active-bg: #{$active-background};\n  --#{$prefix}btn-active-border-color: #{$active-border};\n  --#{$prefix}btn-active-shadow: #{$btn-active-box-shadow};\n  --#{$prefix}btn-disabled-color: #{$disabled-color};\n  --#{$prefix}btn-disabled-bg: #{$disabled-background};\n  --#{$prefix}btn-disabled-border-color: #{$disabled-border};\n}\n// scss-docs-end btn-variant-mixin\n\n// scss-docs-start btn-outline-variant-mixin\n@mixin button-outline-variant(\n  $color,\n  $color-hover: color-contrast($color),\n  $active-background: $color,\n  $active-border: $color,\n  $active-color: color-contrast($active-background)\n) {\n  --#{$prefix}btn-color: #{$color};\n  --#{$prefix}btn-border-color: #{$color};\n  --#{$prefix}btn-hover-color: #{$color-hover};\n  --#{$prefix}btn-hover-bg: #{$active-background};\n  --#{$prefix}btn-hover-border-color: #{$active-border};\n  --#{$prefix}btn-focus-shadow-rgb: #{to-rgb($color)};\n  --#{$prefix}btn-active-color: #{$active-color};\n  --#{$prefix}btn-active-bg: #{$active-background};\n  --#{$prefix}btn-active-border-color: #{$active-border};\n  --#{$prefix}btn-active-shadow: #{$btn-active-box-shadow};\n  --#{$prefix}btn-disabled-color: #{$color};\n  --#{$prefix}btn-disabled-bg: transparent;\n  --#{$prefix}btn-disabled-border-color: #{$color};\n  --#{$prefix}gradient: none;\n}\n// scss-docs-end btn-outline-variant-mixin\n\n// scss-docs-start btn-size-mixin\n@mixin button-size($padding-y, $padding-x, $font-size, $border-radius) {\n  --#{$prefix}btn-padding-y: #{$padding-y};\n  --#{$prefix}btn-padding-x: #{$padding-x};\n  @include rfs($font-size, --#{$prefix}btn-font-size);\n  --#{$prefix}btn-border-radius: #{$border-radius};\n}\n// scss-docs-end btn-size-mixin\n",".fade {\n  @include transition($transition-fade);\n\n  &:not(.show) {\n    opacity: 0;\n  }\n}\n\n// scss-docs-start collapse-classes\n.collapse {\n  &:not(.show) {\n    display: none;\n  }\n}\n\n.collapsing {\n  height: 0;\n  overflow: hidden;\n  @include transition($transition-collapse);\n\n  &.collapse-horizontal {\n    width: 0;\n    height: auto;\n    @include transition($transition-collapse-width);\n  }\n}\n// scss-docs-end collapse-classes\n","// The dropdown wrapper (`<div>`)\n.dropup,\n.dropend,\n.dropdown,\n.dropstart,\n.dropup-center,\n.dropdown-center {\n  position: relative;\n}\n\n.dropdown-toggle {\n  white-space: nowrap;\n\n  // Generate the caret automatically\n  @include caret();\n}\n\n// The dropdown menu\n.dropdown-menu {\n  // scss-docs-start dropdown-css-vars\n  --#{$prefix}dropdown-zindex: #{$zindex-dropdown};\n  --#{$prefix}dropdown-min-width: #{$dropdown-min-width};\n  --#{$prefix}dropdown-padding-x: #{$dropdown-padding-x};\n  --#{$prefix}dropdown-padding-y: #{$dropdown-padding-y};\n  --#{$prefix}dropdown-spacer: #{$dropdown-spacer};\n  @include rfs($dropdown-font-size, --#{$prefix}dropdown-font-size);\n  --#{$prefix}dropdown-color: #{$dropdown-color};\n  --#{$prefix}dropdown-bg: #{$dropdown-bg};\n  --#{$prefix}dropdown-border-color: #{$dropdown-border-color};\n  --#{$prefix}dropdown-border-radius: #{$dropdown-border-radius};\n  --#{$prefix}dropdown-border-width: #{$dropdown-border-width};\n  --#{$prefix}dropdown-inner-border-radius: #{$dropdown-inner-border-radius};\n  --#{$prefix}dropdown-divider-bg: #{$dropdown-divider-bg};\n  --#{$prefix}dropdown-divider-margin-y: #{$dropdown-divider-margin-y};\n  --#{$prefix}dropdown-box-shadow: #{$dropdown-box-shadow};\n  --#{$prefix}dropdown-link-color: #{$dropdown-link-color};\n  --#{$prefix}dropdown-link-hover-color: #{$dropdown-link-hover-color};\n  --#{$prefix}dropdown-link-hover-bg: #{$dropdown-link-hover-bg};\n  --#{$prefix}dropdown-link-active-color: #{$dropdown-link-active-color};\n  --#{$prefix}dropdown-link-active-bg: #{$dropdown-link-active-bg};\n  --#{$prefix}dropdown-link-disabled-color: #{$dropdown-link-disabled-color};\n  --#{$prefix}dropdown-item-padding-x: #{$dropdown-item-padding-x};\n  --#{$prefix}dropdown-item-padding-y: #{$dropdown-item-padding-y};\n  --#{$prefix}dropdown-header-color: #{$dropdown-header-color};\n  --#{$prefix}dropdown-header-padding-x: #{$dropdown-header-padding-x};\n  --#{$prefix}dropdown-header-padding-y: #{$dropdown-header-padding-y};\n  // scss-docs-end dropdown-css-vars\n\n  position: absolute;\n  z-index: var(--#{$prefix}dropdown-zindex);\n  display: none; // none by default, but block on \"open\" of the menu\n  min-width: var(--#{$prefix}dropdown-min-width);\n  padding: var(--#{$prefix}dropdown-padding-y) var(--#{$prefix}dropdown-padding-x);\n  margin: 0; // Override default margin of ul\n  @include font-size(var(--#{$prefix}dropdown-font-size));\n  color: var(--#{$prefix}dropdown-color);\n  text-align: left; // Ensures proper alignment if parent has it changed (e.g., modal footer)\n  list-style: none;\n  background-color: var(--#{$prefix}dropdown-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}dropdown-border-width) solid var(--#{$prefix}dropdown-border-color);\n  @include border-radius(var(--#{$prefix}dropdown-border-radius));\n  @include box-shadow(var(--#{$prefix}dropdown-box-shadow));\n\n  &[data-bs-popper] {\n    top: 100%;\n    left: 0;\n    margin-top: var(--#{$prefix}dropdown-spacer);\n  }\n\n  @if $dropdown-padding-y == 0 {\n    > .dropdown-item:first-child,\n    > li:first-child .dropdown-item {\n      @include border-top-radius(var(--#{$prefix}dropdown-inner-border-radius));\n    }\n    > .dropdown-item:last-child,\n    > li:last-child .dropdown-item {\n      @include border-bottom-radius(var(--#{$prefix}dropdown-inner-border-radius));\n    }\n\n  }\n}\n\n// scss-docs-start responsive-breakpoints\n// We deliberately hardcode the `bs-` prefix because we check\n// this custom property in JS to determine Popper's positioning\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .dropdown-menu#{$infix}-start {\n      --bs-position: start;\n\n      &[data-bs-popper] {\n        right: auto;\n        left: 0;\n      }\n    }\n\n    .dropdown-menu#{$infix}-end {\n      --bs-position: end;\n\n      &[data-bs-popper] {\n        right: 0;\n        left: auto;\n      }\n    }\n  }\n}\n// scss-docs-end responsive-breakpoints\n\n// Allow for dropdowns to go bottom up (aka, dropup-menu)\n// Just add .dropup after the standard .dropdown class and you're set.\n.dropup {\n  .dropdown-menu[data-bs-popper] {\n    top: auto;\n    bottom: 100%;\n    margin-top: 0;\n    margin-bottom: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(up);\n  }\n}\n\n.dropend {\n  .dropdown-menu[data-bs-popper] {\n    top: 0;\n    right: auto;\n    left: 100%;\n    margin-top: 0;\n    margin-left: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(end);\n    &::after {\n      vertical-align: 0;\n    }\n  }\n}\n\n.dropstart {\n  .dropdown-menu[data-bs-popper] {\n    top: 0;\n    right: 100%;\n    left: auto;\n    margin-top: 0;\n    margin-right: var(--#{$prefix}dropdown-spacer);\n  }\n\n  .dropdown-toggle {\n    @include caret(start);\n    &::before {\n      vertical-align: 0;\n    }\n  }\n}\n\n\n// Dividers (basically an `<hr>`) within the dropdown\n.dropdown-divider {\n  height: 0;\n  margin: var(--#{$prefix}dropdown-divider-margin-y) 0;\n  overflow: hidden;\n  border-top: 1px solid var(--#{$prefix}dropdown-divider-bg);\n  opacity: 1; // Revisit in v6 to de-dupe styles that conflict with <hr> element\n}\n\n// Links, buttons, and more within the dropdown menu\n//\n// `<button>`-specific styles are denoted with `// For <button>s`\n.dropdown-item {\n  display: block;\n  width: 100%; // For `<button>`s\n  padding: var(--#{$prefix}dropdown-item-padding-y) var(--#{$prefix}dropdown-item-padding-x);\n  clear: both;\n  font-weight: $font-weight-normal;\n  color: var(--#{$prefix}dropdown-link-color);\n  text-align: inherit; // For `<button>`s\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: nowrap; // prevent links from randomly breaking onto new lines\n  background-color: transparent; // For `<button>`s\n  border: 0; // For `<button>`s\n  @include border-radius(var(--#{$prefix}dropdown-item-border-radius, 0));\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}dropdown-link-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    @include gradient-bg(var(--#{$prefix}dropdown-link-hover-bg));\n  }\n\n  &.active,\n  &:active {\n    color: var(--#{$prefix}dropdown-link-active-color);\n    text-decoration: none;\n    @include gradient-bg(var(--#{$prefix}dropdown-link-active-bg));\n  }\n\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}dropdown-link-disabled-color);\n    pointer-events: none;\n    background-color: transparent;\n    // Remove CSS gradients if they're enabled\n    background-image: if($enable-gradients, none, null);\n  }\n}\n\n.dropdown-menu.show {\n  display: block;\n}\n\n// Dropdown section headers\n.dropdown-header {\n  display: block;\n  padding: var(--#{$prefix}dropdown-header-padding-y) var(--#{$prefix}dropdown-header-padding-x);\n  margin-bottom: 0; // for use with heading elements\n  @include font-size($font-size-sm);\n  color: var(--#{$prefix}dropdown-header-color);\n  white-space: nowrap; // as with > li > a\n}\n\n// Dropdown text\n.dropdown-item-text {\n  display: block;\n  padding: var(--#{$prefix}dropdown-item-padding-y) var(--#{$prefix}dropdown-item-padding-x);\n  color: var(--#{$prefix}dropdown-link-color);\n}\n\n// Dark dropdowns\n.dropdown-menu-dark {\n  // scss-docs-start dropdown-dark-css-vars\n  --#{$prefix}dropdown-color: #{$dropdown-dark-color};\n  --#{$prefix}dropdown-bg: #{$dropdown-dark-bg};\n  --#{$prefix}dropdown-border-color: #{$dropdown-dark-border-color};\n  --#{$prefix}dropdown-box-shadow: #{$dropdown-dark-box-shadow};\n  --#{$prefix}dropdown-link-color: #{$dropdown-dark-link-color};\n  --#{$prefix}dropdown-link-hover-color: #{$dropdown-dark-link-hover-color};\n  --#{$prefix}dropdown-divider-bg: #{$dropdown-dark-divider-bg};\n  --#{$prefix}dropdown-link-hover-bg: #{$dropdown-dark-link-hover-bg};\n  --#{$prefix}dropdown-link-active-color: #{$dropdown-dark-link-active-color};\n  --#{$prefix}dropdown-link-active-bg: #{$dropdown-dark-link-active-bg};\n  --#{$prefix}dropdown-link-disabled-color: #{$dropdown-dark-link-disabled-color};\n  --#{$prefix}dropdown-header-color: #{$dropdown-dark-header-color};\n  // scss-docs-end dropdown-dark-css-vars\n}\n","// scss-docs-start caret-mixins\n@mixin caret-down($width: $caret-width) {\n  border-top: $width solid;\n  border-right: $width solid transparent;\n  border-bottom: 0;\n  border-left: $width solid transparent;\n}\n\n@mixin caret-up($width: $caret-width) {\n  border-top: 0;\n  border-right: $width solid transparent;\n  border-bottom: $width solid;\n  border-left: $width solid transparent;\n}\n\n@mixin caret-end($width: $caret-width) {\n  border-top: $width solid transparent;\n  border-right: 0;\n  border-bottom: $width solid transparent;\n  border-left: $width solid;\n}\n\n@mixin caret-start($width: $caret-width) {\n  border-top: $width solid transparent;\n  border-right: $width solid;\n  border-bottom: $width solid transparent;\n}\n\n@mixin caret(\n  $direction: down,\n  $width: $caret-width,\n  $spacing: $caret-spacing,\n  $vertical-align: $caret-vertical-align\n) {\n  @if $enable-caret {\n    &::after {\n      display: inline-block;\n      margin-left: $spacing;\n      vertical-align: $vertical-align;\n      content: \"\";\n      @if $direction == down {\n        @include caret-down($width);\n      } @else if $direction == up {\n        @include caret-up($width);\n      } @else if $direction == end {\n        @include caret-end($width);\n      }\n    }\n\n    @if $direction == start {\n      &::after {\n        display: none;\n      }\n\n      &::before {\n        display: inline-block;\n        margin-right: $spacing;\n        vertical-align: $vertical-align;\n        content: \"\";\n        @include caret-start($width);\n      }\n    }\n\n    &:empty::after {\n      margin-left: 0;\n    }\n  }\n}\n// scss-docs-end caret-mixins\n","// Make the div behave like a button\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-flex;\n  vertical-align: middle; // match .btn alignment given font-size hack above\n\n  > .btn {\n    position: relative;\n    flex: 1 1 auto;\n  }\n\n  // Bring the hover, focused, and \"active\" buttons to the front to overlay\n  // the borders properly\n  > .btn-check:checked + .btn,\n  > .btn-check:focus + .btn,\n  > .btn:hover,\n  > .btn:focus,\n  > .btn:active,\n  > .btn.active {\n    z-index: 1;\n  }\n}\n\n// Optional: Group multiple button groups together for a toolbar\n.btn-toolbar {\n  display: flex;\n  flex-wrap: wrap;\n  justify-content: flex-start;\n\n  .input-group {\n    width: auto;\n  }\n}\n\n.btn-group {\n  @include border-radius($btn-border-radius);\n\n  // Prevent double borders when buttons are next to each other\n  > :not(.btn-check:first-child) + .btn,\n  > .btn-group:not(:first-child) {\n    margin-left: calc(#{$btn-border-width} * -1); // stylelint-disable-line function-disallowed-list\n  }\n\n  // Reset rounded corners\n  > .btn:not(:last-child):not(.dropdown-toggle),\n  > .btn.dropdown-toggle-split:first-child,\n  > .btn-group:not(:last-child) > .btn {\n    @include border-end-radius(0);\n  }\n\n  // The left radius should be 0 if the button is:\n  // - the \"third or more\" child\n  // - the second child and the previous element isn't `.btn-check` (making it the first child visually)\n  // - part of a btn-group which isn't the first child\n  > .btn:nth-child(n + 3),\n  > :not(.btn-check) + .btn,\n  > .btn-group:not(:first-child) > .btn {\n    @include border-start-radius(0);\n  }\n}\n\n// Sizing\n//\n// Remix the default button sizing classes into new ones for easier manipulation.\n\n.btn-group-sm > .btn { @extend .btn-sm; }\n.btn-group-lg > .btn { @extend .btn-lg; }\n\n\n//\n// Split button dropdowns\n//\n\n.dropdown-toggle-split {\n  padding-right: $btn-padding-x * .75;\n  padding-left: $btn-padding-x * .75;\n\n  &::after,\n  .dropup &::after,\n  .dropend &::after {\n    margin-left: 0;\n  }\n\n  .dropstart &::before {\n    margin-right: 0;\n  }\n}\n\n.btn-sm + .dropdown-toggle-split {\n  padding-right: $btn-padding-x-sm * .75;\n  padding-left: $btn-padding-x-sm * .75;\n}\n\n.btn-lg + .dropdown-toggle-split {\n  padding-right: $btn-padding-x-lg * .75;\n  padding-left: $btn-padding-x-lg * .75;\n}\n\n\n// The clickable button for toggling the menu\n// Set the same inset shadow as the :active state\n.btn-group.show .dropdown-toggle {\n  @include box-shadow($btn-active-box-shadow);\n\n  // Show no shadow for `.btn-link` since it has no other button styles.\n  &.btn-link {\n    @include box-shadow(none);\n  }\n}\n\n\n//\n// Vertical button groups\n//\n\n.btn-group-vertical {\n  flex-direction: column;\n  align-items: flex-start;\n  justify-content: center;\n\n  > .btn,\n  > .btn-group {\n    width: 100%;\n  }\n\n  > .btn:not(:first-child),\n  > .btn-group:not(:first-child) {\n    margin-top: calc(#{$btn-border-width} * -1); // stylelint-disable-line function-disallowed-list\n  }\n\n  // Reset rounded corners\n  > .btn:not(:last-child):not(.dropdown-toggle),\n  > .btn-group:not(:last-child) > .btn {\n    @include border-bottom-radius(0);\n  }\n\n  > .btn ~ .btn,\n  > .btn-group:not(:first-child) > .btn {\n    @include border-top-radius(0);\n  }\n}\n","// Base class\n//\n// Kickstart any navigation component with a set of style resets. Works with\n// `<nav>`s, `<ul>`s or `<ol>`s.\n\n.nav {\n  // scss-docs-start nav-css-vars\n  --#{$prefix}nav-link-padding-x: #{$nav-link-padding-x};\n  --#{$prefix}nav-link-padding-y: #{$nav-link-padding-y};\n  @include rfs($nav-link-font-size, --#{$prefix}nav-link-font-size);\n  --#{$prefix}nav-link-font-weight: #{$nav-link-font-weight};\n  --#{$prefix}nav-link-color: #{$nav-link-color};\n  --#{$prefix}nav-link-hover-color: #{$nav-link-hover-color};\n  --#{$prefix}nav-link-disabled-color: #{$nav-link-disabled-color};\n  // scss-docs-end nav-css-vars\n\n  display: flex;\n  flex-wrap: wrap;\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n\n.nav-link {\n  display: block;\n  padding: var(--#{$prefix}nav-link-padding-y) var(--#{$prefix}nav-link-padding-x);\n  @include font-size(var(--#{$prefix}nav-link-font-size));\n  font-weight: var(--#{$prefix}nav-link-font-weight);\n  color: var(--#{$prefix}nav-link-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background: none;\n  border: 0;\n  @include transition($nav-link-transition);\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}nav-link-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n\n  &:focus-visible {\n    outline: 0;\n    box-shadow: $nav-link-focus-box-shadow;\n  }\n\n  // Disabled state lightens text\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}nav-link-disabled-color);\n    pointer-events: none;\n    cursor: default;\n  }\n}\n\n//\n// Tabs\n//\n\n.nav-tabs {\n  // scss-docs-start nav-tabs-css-vars\n  --#{$prefix}nav-tabs-border-width: #{$nav-tabs-border-width};\n  --#{$prefix}nav-tabs-border-color: #{$nav-tabs-border-color};\n  --#{$prefix}nav-tabs-border-radius: #{$nav-tabs-border-radius};\n  --#{$prefix}nav-tabs-link-hover-border-color: #{$nav-tabs-link-hover-border-color};\n  --#{$prefix}nav-tabs-link-active-color: #{$nav-tabs-link-active-color};\n  --#{$prefix}nav-tabs-link-active-bg: #{$nav-tabs-link-active-bg};\n  --#{$prefix}nav-tabs-link-active-border-color: #{$nav-tabs-link-active-border-color};\n  // scss-docs-end nav-tabs-css-vars\n\n  border-bottom: var(--#{$prefix}nav-tabs-border-width) solid var(--#{$prefix}nav-tabs-border-color);\n\n  .nav-link {\n    margin-bottom: calc(-1 * var(--#{$prefix}nav-tabs-border-width)); // stylelint-disable-line function-disallowed-list\n    border: var(--#{$prefix}nav-tabs-border-width) solid transparent;\n    @include border-top-radius(var(--#{$prefix}nav-tabs-border-radius));\n\n    &:hover,\n    &:focus {\n      // Prevents active .nav-link tab overlapping focus outline of previous/next .nav-link\n      isolation: isolate;\n      border-color: var(--#{$prefix}nav-tabs-link-hover-border-color);\n    }\n  }\n\n  .nav-link.active,\n  .nav-item.show .nav-link {\n    color: var(--#{$prefix}nav-tabs-link-active-color);\n    background-color: var(--#{$prefix}nav-tabs-link-active-bg);\n    border-color: var(--#{$prefix}nav-tabs-link-active-border-color);\n  }\n\n  .dropdown-menu {\n    // Make dropdown border overlap tab border\n    margin-top: calc(-1 * var(--#{$prefix}nav-tabs-border-width)); // stylelint-disable-line function-disallowed-list\n    // Remove the top rounded corners here since there is a hard edge above the menu\n    @include border-top-radius(0);\n  }\n}\n\n\n//\n// Pills\n//\n\n.nav-pills {\n  // scss-docs-start nav-pills-css-vars\n  --#{$prefix}nav-pills-border-radius: #{$nav-pills-border-radius};\n  --#{$prefix}nav-pills-link-active-color: #{$nav-pills-link-active-color};\n  --#{$prefix}nav-pills-link-active-bg: #{$nav-pills-link-active-bg};\n  // scss-docs-end nav-pills-css-vars\n\n  .nav-link {\n    @include border-radius(var(--#{$prefix}nav-pills-border-radius));\n  }\n\n  .nav-link.active,\n  .show > .nav-link {\n    color: var(--#{$prefix}nav-pills-link-active-color);\n    @include gradient-bg(var(--#{$prefix}nav-pills-link-active-bg));\n  }\n}\n\n\n//\n// Underline\n//\n\n.nav-underline {\n  // scss-docs-start nav-underline-css-vars\n  --#{$prefix}nav-underline-gap: #{$nav-underline-gap};\n  --#{$prefix}nav-underline-border-width: #{$nav-underline-border-width};\n  --#{$prefix}nav-underline-link-active-color: #{$nav-underline-link-active-color};\n  // scss-docs-end nav-underline-css-vars\n\n  gap: var(--#{$prefix}nav-underline-gap);\n\n  .nav-link {\n    padding-right: 0;\n    padding-left: 0;\n    border-bottom: var(--#{$prefix}nav-underline-border-width) solid transparent;\n\n    &:hover,\n    &:focus {\n      border-bottom-color: currentcolor;\n    }\n  }\n\n  .nav-link.active,\n  .show > .nav-link {\n    font-weight: $font-weight-bold;\n    color: var(--#{$prefix}nav-underline-link-active-color);\n    border-bottom-color: currentcolor;\n  }\n}\n\n\n//\n// Justified variants\n//\n\n.nav-fill {\n  > .nav-link,\n  .nav-item {\n    flex: 1 1 auto;\n    text-align: center;\n  }\n}\n\n.nav-justified {\n  > .nav-link,\n  .nav-item {\n    flex-basis: 0;\n    flex-grow: 1;\n    text-align: center;\n  }\n}\n\n.nav-fill,\n.nav-justified {\n  .nav-item .nav-link {\n    width: 100%; // Make sure button will grow\n  }\n}\n\n\n// Tabbable tabs\n//\n// Hide tabbable panes to start, show them when `.active`\n\n.tab-content {\n  > .tab-pane {\n    display: none;\n  }\n  > .active {\n    display: block;\n  }\n}\n","// Navbar\n//\n// Provide a static navbar from which we expand to create full-width, fixed, and\n// other navbar variations.\n\n.navbar {\n  // scss-docs-start navbar-css-vars\n  --#{$prefix}navbar-padding-x: #{if($navbar-padding-x == null, 0, $navbar-padding-x)};\n  --#{$prefix}navbar-padding-y: #{$navbar-padding-y};\n  --#{$prefix}navbar-color: #{$navbar-light-color};\n  --#{$prefix}navbar-hover-color: #{$navbar-light-hover-color};\n  --#{$prefix}navbar-disabled-color: #{$navbar-light-disabled-color};\n  --#{$prefix}navbar-active-color: #{$navbar-light-active-color};\n  --#{$prefix}navbar-brand-padding-y: #{$navbar-brand-padding-y};\n  --#{$prefix}navbar-brand-margin-end: #{$navbar-brand-margin-end};\n  --#{$prefix}navbar-brand-font-size: #{$navbar-brand-font-size};\n  --#{$prefix}navbar-brand-color: #{$navbar-light-brand-color};\n  --#{$prefix}navbar-brand-hover-color: #{$navbar-light-brand-hover-color};\n  --#{$prefix}navbar-nav-link-padding-x: #{$navbar-nav-link-padding-x};\n  --#{$prefix}navbar-toggler-padding-y: #{$navbar-toggler-padding-y};\n  --#{$prefix}navbar-toggler-padding-x: #{$navbar-toggler-padding-x};\n  --#{$prefix}navbar-toggler-font-size: #{$navbar-toggler-font-size};\n  --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-light-toggler-icon-bg)};\n  --#{$prefix}navbar-toggler-border-color: #{$navbar-light-toggler-border-color};\n  --#{$prefix}navbar-toggler-border-radius: #{$navbar-toggler-border-radius};\n  --#{$prefix}navbar-toggler-focus-width: #{$navbar-toggler-focus-width};\n  --#{$prefix}navbar-toggler-transition: #{$navbar-toggler-transition};\n  // scss-docs-end navbar-css-vars\n\n  position: relative;\n  display: flex;\n  flex-wrap: wrap; // allow us to do the line break for collapsing content\n  align-items: center;\n  justify-content: space-between; // space out brand from logo\n  padding: var(--#{$prefix}navbar-padding-y) var(--#{$prefix}navbar-padding-x);\n  @include gradient-bg();\n\n  // Because flex properties aren't inherited, we need to redeclare these first\n  // few properties so that content nested within behave properly.\n  // The `flex-wrap` property is inherited to simplify the expanded navbars\n  %container-flex-properties {\n    display: flex;\n    flex-wrap: inherit;\n    align-items: center;\n    justify-content: space-between;\n  }\n\n  > .container,\n  > .container-fluid {\n    @extend %container-flex-properties;\n  }\n\n  @each $breakpoint, $container-max-width in $container-max-widths {\n    > .container#{breakpoint-infix($breakpoint, $container-max-widths)} {\n      @extend %container-flex-properties;\n    }\n  }\n}\n\n\n// Navbar brand\n//\n// Used for brand, project, or site names.\n\n.navbar-brand {\n  padding-top: var(--#{$prefix}navbar-brand-padding-y);\n  padding-bottom: var(--#{$prefix}navbar-brand-padding-y);\n  margin-right: var(--#{$prefix}navbar-brand-margin-end);\n  @include font-size(var(--#{$prefix}navbar-brand-font-size));\n  color: var(--#{$prefix}navbar-brand-color);\n  text-decoration: if($link-decoration == none, null, none);\n  white-space: nowrap;\n\n  &:hover,\n  &:focus {\n    color: var(--#{$prefix}navbar-brand-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n}\n\n\n// Navbar nav\n//\n// Custom navbar navigation (doesn't require `.nav`, but does make use of `.nav-link`).\n\n.navbar-nav {\n  // scss-docs-start navbar-nav-css-vars\n  --#{$prefix}nav-link-padding-x: 0;\n  --#{$prefix}nav-link-padding-y: #{$nav-link-padding-y};\n  @include rfs($nav-link-font-size, --#{$prefix}nav-link-font-size);\n  --#{$prefix}nav-link-font-weight: #{$nav-link-font-weight};\n  --#{$prefix}nav-link-color: var(--#{$prefix}navbar-color);\n  --#{$prefix}nav-link-hover-color: var(--#{$prefix}navbar-hover-color);\n  --#{$prefix}nav-link-disabled-color: var(--#{$prefix}navbar-disabled-color);\n  // scss-docs-end navbar-nav-css-vars\n\n  display: flex;\n  flex-direction: column; // cannot use `inherit` to get the `.navbar`s value\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n\n  .nav-link {\n    &.active,\n    &.show {\n      color: var(--#{$prefix}navbar-active-color);\n    }\n  }\n\n  .dropdown-menu {\n    position: static;\n  }\n}\n\n\n// Navbar text\n//\n//\n\n.navbar-text {\n  padding-top: $nav-link-padding-y;\n  padding-bottom: $nav-link-padding-y;\n  color: var(--#{$prefix}navbar-color);\n\n  a,\n  a:hover,\n  a:focus  {\n    color: var(--#{$prefix}navbar-active-color);\n  }\n}\n\n\n// Responsive navbar\n//\n// Custom styles for responsive collapsing and toggling of navbar contents.\n// Powered by the collapse Bootstrap JavaScript plugin.\n\n// When collapsed, prevent the toggleable navbar contents from appearing in\n// the default flexbox row orientation. Requires the use of `flex-wrap: wrap`\n// on the `.navbar` parent.\n.navbar-collapse {\n  flex-basis: 100%;\n  flex-grow: 1;\n  // For always expanded or extra full navbars, ensure content aligns itself\n  // properly vertically. Can be easily overridden with flex utilities.\n  align-items: center;\n}\n\n// Button for toggling the navbar when in its collapsed state\n.navbar-toggler {\n  padding: var(--#{$prefix}navbar-toggler-padding-y) var(--#{$prefix}navbar-toggler-padding-x);\n  @include font-size(var(--#{$prefix}navbar-toggler-font-size));\n  line-height: 1;\n  color: var(--#{$prefix}navbar-color);\n  background-color: transparent; // remove default button style\n  border: var(--#{$prefix}border-width) solid var(--#{$prefix}navbar-toggler-border-color); // remove default button style\n  @include border-radius(var(--#{$prefix}navbar-toggler-border-radius));\n  @include transition(var(--#{$prefix}navbar-toggler-transition));\n\n  &:hover {\n    text-decoration: none;\n  }\n\n  &:focus {\n    text-decoration: none;\n    outline: 0;\n    box-shadow: 0 0 0 var(--#{$prefix}navbar-toggler-focus-width);\n  }\n}\n\n// Keep as a separate element so folks can easily override it with another icon\n// or image file as needed.\n.navbar-toggler-icon {\n  display: inline-block;\n  width: 1.5em;\n  height: 1.5em;\n  vertical-align: middle;\n  background-image: var(--#{$prefix}navbar-toggler-icon-bg);\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: 100%;\n}\n\n.navbar-nav-scroll {\n  max-height: var(--#{$prefix}scroll-height, 75vh);\n  overflow-y: auto;\n}\n\n// scss-docs-start navbar-expand-loop\n// Generate series of `.navbar-expand-*` responsive classes for configuring\n// where your navbar collapses.\n.navbar-expand {\n  @each $breakpoint in map-keys($grid-breakpoints) {\n    $next: breakpoint-next($breakpoint, $grid-breakpoints);\n    $infix: breakpoint-infix($next, $grid-breakpoints);\n\n    // stylelint-disable-next-line scss/selector-no-union-class-name\n    &#{$infix} {\n      @include media-breakpoint-up($next) {\n        flex-wrap: nowrap;\n        justify-content: flex-start;\n\n        .navbar-nav {\n          flex-direction: row;\n\n          .dropdown-menu {\n            position: absolute;\n          }\n\n          .nav-link {\n            padding-right: var(--#{$prefix}navbar-nav-link-padding-x);\n            padding-left: var(--#{$prefix}navbar-nav-link-padding-x);\n          }\n        }\n\n        .navbar-nav-scroll {\n          overflow: visible;\n        }\n\n        .navbar-collapse {\n          display: flex !important; // stylelint-disable-line declaration-no-important\n          flex-basis: auto;\n        }\n\n        .navbar-toggler {\n          display: none;\n        }\n\n        .offcanvas {\n          // stylelint-disable declaration-no-important\n          position: static;\n          z-index: auto;\n          flex-grow: 1;\n          width: auto !important;\n          height: auto !important;\n          visibility: visible !important;\n          background-color: transparent !important;\n          border: 0 !important;\n          transform: none !important;\n          @include box-shadow(none);\n          @include transition(none);\n          // stylelint-enable declaration-no-important\n\n          .offcanvas-header {\n            display: none;\n          }\n\n          .offcanvas-body {\n            display: flex;\n            flex-grow: 0;\n            padding: 0;\n            overflow-y: visible;\n          }\n        }\n      }\n    }\n  }\n}\n// scss-docs-end navbar-expand-loop\n\n// Navbar themes\n//\n// Styles for switching between navbars with light or dark background.\n\n.navbar-light {\n  @include deprecate(\"`.navbar-light`\", \"v5.2.0\", \"v6.0.0\", true);\n}\n\n.navbar-dark,\n.navbar[data-bs-theme=\"dark\"] {\n  // scss-docs-start navbar-dark-css-vars\n  --#{$prefix}navbar-color: #{$navbar-dark-color};\n  --#{$prefix}navbar-hover-color: #{$navbar-dark-hover-color};\n  --#{$prefix}navbar-disabled-color: #{$navbar-dark-disabled-color};\n  --#{$prefix}navbar-active-color: #{$navbar-dark-active-color};\n  --#{$prefix}navbar-brand-color: #{$navbar-dark-brand-color};\n  --#{$prefix}navbar-brand-hover-color: #{$navbar-dark-brand-hover-color};\n  --#{$prefix}navbar-toggler-border-color: #{$navbar-dark-toggler-border-color};\n  --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-dark-toggler-icon-bg)};\n  // scss-docs-end navbar-dark-css-vars\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .navbar-toggler-icon {\n      --#{$prefix}navbar-toggler-icon-bg: #{escape-svg($navbar-dark-toggler-icon-bg)};\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.card {\n  // scss-docs-start card-css-vars\n  --#{$prefix}card-spacer-y: #{$card-spacer-y};\n  --#{$prefix}card-spacer-x: #{$card-spacer-x};\n  --#{$prefix}card-title-spacer-y: #{$card-title-spacer-y};\n  --#{$prefix}card-title-color: #{$card-title-color};\n  --#{$prefix}card-subtitle-color: #{$card-subtitle-color};\n  --#{$prefix}card-border-width: #{$card-border-width};\n  --#{$prefix}card-border-color: #{$card-border-color};\n  --#{$prefix}card-border-radius: #{$card-border-radius};\n  --#{$prefix}card-box-shadow: #{$card-box-shadow};\n  --#{$prefix}card-inner-border-radius: #{$card-inner-border-radius};\n  --#{$prefix}card-cap-padding-y: #{$card-cap-padding-y};\n  --#{$prefix}card-cap-padding-x: #{$card-cap-padding-x};\n  --#{$prefix}card-cap-bg: #{$card-cap-bg};\n  --#{$prefix}card-cap-color: #{$card-cap-color};\n  --#{$prefix}card-height: #{$card-height};\n  --#{$prefix}card-color: #{$card-color};\n  --#{$prefix}card-bg: #{$card-bg};\n  --#{$prefix}card-img-overlay-padding: #{$card-img-overlay-padding};\n  --#{$prefix}card-group-margin: #{$card-group-margin};\n  // scss-docs-end card-css-vars\n\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  min-width: 0; // See https://github.com/twbs/bootstrap/pull/22740#issuecomment-305868106\n  height: var(--#{$prefix}card-height);\n  color: var(--#{$prefix}body-color);\n  word-wrap: break-word;\n  background-color: var(--#{$prefix}card-bg);\n  background-clip: border-box;\n  border: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n  @include border-radius(var(--#{$prefix}card-border-radius));\n  @include box-shadow(var(--#{$prefix}card-box-shadow));\n\n  > hr {\n    margin-right: 0;\n    margin-left: 0;\n  }\n\n  > .list-group {\n    border-top: inherit;\n    border-bottom: inherit;\n\n    &:first-child {\n      border-top-width: 0;\n      @include border-top-radius(var(--#{$prefix}card-inner-border-radius));\n    }\n\n    &:last-child  {\n      border-bottom-width: 0;\n      @include border-bottom-radius(var(--#{$prefix}card-inner-border-radius));\n    }\n  }\n\n  // Due to specificity of the above selector (`.card > .list-group`), we must\n  // use a child selector here to prevent double borders.\n  > .card-header + .list-group,\n  > .list-group + .card-footer {\n    border-top: 0;\n  }\n}\n\n.card-body {\n  // Enable `flex-grow: 1` for decks and groups so that card blocks take up\n  // as much space as possible, ensuring footers are aligned to the bottom.\n  flex: 1 1 auto;\n  padding: var(--#{$prefix}card-spacer-y) var(--#{$prefix}card-spacer-x);\n  color: var(--#{$prefix}card-color);\n}\n\n.card-title {\n  margin-bottom: var(--#{$prefix}card-title-spacer-y);\n  color: var(--#{$prefix}card-title-color);\n}\n\n.card-subtitle {\n  margin-top: calc(-.5 * var(--#{$prefix}card-title-spacer-y)); // stylelint-disable-line function-disallowed-list\n  margin-bottom: 0;\n  color: var(--#{$prefix}card-subtitle-color);\n}\n\n.card-text:last-child {\n  margin-bottom: 0;\n}\n\n.card-link {\n  &:hover {\n    text-decoration: if($link-hover-decoration == underline, none, null);\n  }\n\n  + .card-link {\n    margin-left: var(--#{$prefix}card-spacer-x);\n  }\n}\n\n//\n// Optional textual caps\n//\n\n.card-header {\n  padding: var(--#{$prefix}card-cap-padding-y) var(--#{$prefix}card-cap-padding-x);\n  margin-bottom: 0; // Removes the default margin-bottom of <hN>\n  color: var(--#{$prefix}card-cap-color);\n  background-color: var(--#{$prefix}card-cap-bg);\n  border-bottom: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n\n  &:first-child {\n    @include border-radius(var(--#{$prefix}card-inner-border-radius) var(--#{$prefix}card-inner-border-radius) 0 0);\n  }\n}\n\n.card-footer {\n  padding: var(--#{$prefix}card-cap-padding-y) var(--#{$prefix}card-cap-padding-x);\n  color: var(--#{$prefix}card-cap-color);\n  background-color: var(--#{$prefix}card-cap-bg);\n  border-top: var(--#{$prefix}card-border-width) solid var(--#{$prefix}card-border-color);\n\n  &:last-child {\n    @include border-radius(0 0 var(--#{$prefix}card-inner-border-radius) var(--#{$prefix}card-inner-border-radius));\n  }\n}\n\n\n//\n// Header navs\n//\n\n.card-header-tabs {\n  margin-right: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  margin-bottom: calc(-1 * var(--#{$prefix}card-cap-padding-y)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  border-bottom: 0;\n\n  .nav-link.active {\n    background-color: var(--#{$prefix}card-bg);\n    border-bottom-color: var(--#{$prefix}card-bg);\n  }\n}\n\n.card-header-pills {\n  margin-right: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}card-cap-padding-x)); // stylelint-disable-line function-disallowed-list\n}\n\n// Card image\n.card-img-overlay {\n  position: absolute;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  padding: var(--#{$prefix}card-img-overlay-padding);\n  @include border-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n.card-img,\n.card-img-top,\n.card-img-bottom {\n  width: 100%; // Required because we use flexbox and this inherently applies align-self: stretch\n}\n\n.card-img,\n.card-img-top {\n  @include border-top-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n.card-img,\n.card-img-bottom {\n  @include border-bottom-radius(var(--#{$prefix}card-inner-border-radius));\n}\n\n\n//\n// Card groups\n//\n\n.card-group {\n  // The child selector allows nested `.card` within `.card-group`\n  // to display properly.\n  > .card {\n    margin-bottom: var(--#{$prefix}card-group-margin);\n  }\n\n  @include media-breakpoint-up(sm) {\n    display: flex;\n    flex-flow: row wrap;\n    // The child selector allows nested `.card` within `.card-group`\n    // to display properly.\n    > .card {\n      // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      flex: 1 0 0%;\n      margin-bottom: 0;\n\n      + .card {\n        margin-left: 0;\n        border-left: 0;\n      }\n\n      // Handle rounded corners\n      @if $enable-rounded {\n        &:not(:last-child) {\n          @include border-end-radius(0);\n\n          .card-img-top,\n          .card-header {\n            // stylelint-disable-next-line property-disallowed-list\n            border-top-right-radius: 0;\n          }\n          .card-img-bottom,\n          .card-footer {\n            // stylelint-disable-next-line property-disallowed-list\n            border-bottom-right-radius: 0;\n          }\n        }\n\n        &:not(:first-child) {\n          @include border-start-radius(0);\n\n          .card-img-top,\n          .card-header {\n            // stylelint-disable-next-line property-disallowed-list\n            border-top-left-radius: 0;\n          }\n          .card-img-bottom,\n          .card-footer {\n            // stylelint-disable-next-line property-disallowed-list\n            border-bottom-left-radius: 0;\n          }\n        }\n      }\n    }\n  }\n}\n","//\n// Base styles\n//\n\n.accordion {\n  // scss-docs-start accordion-css-vars\n  --#{$prefix}accordion-color: #{$accordion-color};\n  --#{$prefix}accordion-bg: #{$accordion-bg};\n  --#{$prefix}accordion-transition: #{$accordion-transition};\n  --#{$prefix}accordion-border-color: #{$accordion-border-color};\n  --#{$prefix}accordion-border-width: #{$accordion-border-width};\n  --#{$prefix}accordion-border-radius: #{$accordion-border-radius};\n  --#{$prefix}accordion-inner-border-radius: #{$accordion-inner-border-radius};\n  --#{$prefix}accordion-btn-padding-x: #{$accordion-button-padding-x};\n  --#{$prefix}accordion-btn-padding-y: #{$accordion-button-padding-y};\n  --#{$prefix}accordion-btn-color: #{$accordion-button-color};\n  --#{$prefix}accordion-btn-bg: #{$accordion-button-bg};\n  --#{$prefix}accordion-btn-icon: #{escape-svg($accordion-button-icon)};\n  --#{$prefix}accordion-btn-icon-width: #{$accordion-icon-width};\n  --#{$prefix}accordion-btn-icon-transform: #{$accordion-icon-transform};\n  --#{$prefix}accordion-btn-icon-transition: #{$accordion-icon-transition};\n  --#{$prefix}accordion-btn-active-icon: #{escape-svg($accordion-button-active-icon)};\n  --#{$prefix}accordion-btn-focus-border-color: #{$accordion-button-focus-border-color};\n  --#{$prefix}accordion-btn-focus-box-shadow: #{$accordion-button-focus-box-shadow};\n  --#{$prefix}accordion-body-padding-x: #{$accordion-body-padding-x};\n  --#{$prefix}accordion-body-padding-y: #{$accordion-body-padding-y};\n  --#{$prefix}accordion-active-color: #{$accordion-button-active-color};\n  --#{$prefix}accordion-active-bg: #{$accordion-button-active-bg};\n  // scss-docs-end accordion-css-vars\n}\n\n.accordion-button {\n  position: relative;\n  display: flex;\n  align-items: center;\n  width: 100%;\n  padding: var(--#{$prefix}accordion-btn-padding-y) var(--#{$prefix}accordion-btn-padding-x);\n  @include font-size($font-size-base);\n  color: var(--#{$prefix}accordion-btn-color);\n  text-align: left; // Reset button style\n  background-color: var(--#{$prefix}accordion-btn-bg);\n  border: 0;\n  @include border-radius(0);\n  overflow-anchor: none;\n  @include transition(var(--#{$prefix}accordion-transition));\n\n  &:not(.collapsed) {\n    color: var(--#{$prefix}accordion-active-color);\n    background-color: var(--#{$prefix}accordion-active-bg);\n    box-shadow: inset 0 calc(-1 * var(--#{$prefix}accordion-border-width)) 0 var(--#{$prefix}accordion-border-color); // stylelint-disable-line function-disallowed-list\n\n    &::after {\n      background-image: var(--#{$prefix}accordion-btn-active-icon);\n      transform: var(--#{$prefix}accordion-btn-icon-transform);\n    }\n  }\n\n  // Accordion icon\n  &::after {\n    flex-shrink: 0;\n    width: var(--#{$prefix}accordion-btn-icon-width);\n    height: var(--#{$prefix}accordion-btn-icon-width);\n    margin-left: auto;\n    content: \"\";\n    background-image: var(--#{$prefix}accordion-btn-icon);\n    background-repeat: no-repeat;\n    background-size: var(--#{$prefix}accordion-btn-icon-width);\n    @include transition(var(--#{$prefix}accordion-btn-icon-transition));\n  }\n\n  &:hover {\n    z-index: 2;\n  }\n\n  &:focus {\n    z-index: 3;\n    border-color: var(--#{$prefix}accordion-btn-focus-border-color);\n    outline: 0;\n    box-shadow: var(--#{$prefix}accordion-btn-focus-box-shadow);\n  }\n}\n\n.accordion-header {\n  margin-bottom: 0;\n}\n\n.accordion-item {\n  color: var(--#{$prefix}accordion-color);\n  background-color: var(--#{$prefix}accordion-bg);\n  border: var(--#{$prefix}accordion-border-width) solid var(--#{$prefix}accordion-border-color);\n\n  &:first-of-type {\n    @include border-top-radius(var(--#{$prefix}accordion-border-radius));\n\n    .accordion-button {\n      @include border-top-radius(var(--#{$prefix}accordion-inner-border-radius));\n    }\n  }\n\n  &:not(:first-of-type) {\n    border-top: 0;\n  }\n\n  // Only set a border-radius on the last item if the accordion is collapsed\n  &:last-of-type {\n    @include border-bottom-radius(var(--#{$prefix}accordion-border-radius));\n\n    .accordion-button {\n      &.collapsed {\n        @include border-bottom-radius(var(--#{$prefix}accordion-inner-border-radius));\n      }\n    }\n\n    .accordion-collapse {\n      @include border-bottom-radius(var(--#{$prefix}accordion-border-radius));\n    }\n  }\n}\n\n.accordion-body {\n  padding: var(--#{$prefix}accordion-body-padding-y) var(--#{$prefix}accordion-body-padding-x);\n}\n\n\n// Flush accordion items\n//\n// Remove borders and border-radius to keep accordion items edge-to-edge.\n\n.accordion-flush {\n  .accordion-collapse {\n    border-width: 0;\n  }\n\n  .accordion-item {\n    border-right: 0;\n    border-left: 0;\n    @include border-radius(0);\n\n    &:first-child { border-top: 0; }\n    &:last-child { border-bottom: 0; }\n\n    .accordion-button {\n      &,\n      &.collapsed {\n        @include border-radius(0);\n      }\n    }\n  }\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .accordion-button::after {\n      --#{$prefix}accordion-btn-icon: #{escape-svg($accordion-button-icon-dark)};\n      --#{$prefix}accordion-btn-active-icon: #{escape-svg($accordion-button-active-icon-dark)};\n    }\n  }\n}\n",".breadcrumb {\n  // scss-docs-start breadcrumb-css-vars\n  --#{$prefix}breadcrumb-padding-x: #{$breadcrumb-padding-x};\n  --#{$prefix}breadcrumb-padding-y: #{$breadcrumb-padding-y};\n  --#{$prefix}breadcrumb-margin-bottom: #{$breadcrumb-margin-bottom};\n  @include rfs($breadcrumb-font-size, --#{$prefix}breadcrumb-font-size);\n  --#{$prefix}breadcrumb-bg: #{$breadcrumb-bg};\n  --#{$prefix}breadcrumb-border-radius: #{$breadcrumb-border-radius};\n  --#{$prefix}breadcrumb-divider-color: #{$breadcrumb-divider-color};\n  --#{$prefix}breadcrumb-item-padding-x: #{$breadcrumb-item-padding-x};\n  --#{$prefix}breadcrumb-item-active-color: #{$breadcrumb-active-color};\n  // scss-docs-end breadcrumb-css-vars\n\n  display: flex;\n  flex-wrap: wrap;\n  padding: var(--#{$prefix}breadcrumb-padding-y) var(--#{$prefix}breadcrumb-padding-x);\n  margin-bottom: var(--#{$prefix}breadcrumb-margin-bottom);\n  @include font-size(var(--#{$prefix}breadcrumb-font-size));\n  list-style: none;\n  background-color: var(--#{$prefix}breadcrumb-bg);\n  @include border-radius(var(--#{$prefix}breadcrumb-border-radius));\n}\n\n.breadcrumb-item {\n  // The separator between breadcrumbs (by default, a forward-slash: \"/\")\n  + .breadcrumb-item {\n    padding-left: var(--#{$prefix}breadcrumb-item-padding-x);\n\n    &::before {\n      float: left; // Suppress inline spacings and underlining of the separator\n      padding-right: var(--#{$prefix}breadcrumb-item-padding-x);\n      color: var(--#{$prefix}breadcrumb-divider-color);\n      content: var(--#{$prefix}breadcrumb-divider, escape-svg($breadcrumb-divider)) #{\"/* rtl:\"} var(--#{$prefix}breadcrumb-divider, escape-svg($breadcrumb-divider-flipped)) #{\"*/\"};\n    }\n  }\n\n  &.active {\n    color: var(--#{$prefix}breadcrumb-item-active-color);\n  }\n}\n",".pagination {\n  // scss-docs-start pagination-css-vars\n  --#{$prefix}pagination-padding-x: #{$pagination-padding-x};\n  --#{$prefix}pagination-padding-y: #{$pagination-padding-y};\n  @include rfs($pagination-font-size, --#{$prefix}pagination-font-size);\n  --#{$prefix}pagination-color: #{$pagination-color};\n  --#{$prefix}pagination-bg: #{$pagination-bg};\n  --#{$prefix}pagination-border-width: #{$pagination-border-width};\n  --#{$prefix}pagination-border-color: #{$pagination-border-color};\n  --#{$prefix}pagination-border-radius: #{$pagination-border-radius};\n  --#{$prefix}pagination-hover-color: #{$pagination-hover-color};\n  --#{$prefix}pagination-hover-bg: #{$pagination-hover-bg};\n  --#{$prefix}pagination-hover-border-color: #{$pagination-hover-border-color};\n  --#{$prefix}pagination-focus-color: #{$pagination-focus-color};\n  --#{$prefix}pagination-focus-bg: #{$pagination-focus-bg};\n  --#{$prefix}pagination-focus-box-shadow: #{$pagination-focus-box-shadow};\n  --#{$prefix}pagination-active-color: #{$pagination-active-color};\n  --#{$prefix}pagination-active-bg: #{$pagination-active-bg};\n  --#{$prefix}pagination-active-border-color: #{$pagination-active-border-color};\n  --#{$prefix}pagination-disabled-color: #{$pagination-disabled-color};\n  --#{$prefix}pagination-disabled-bg: #{$pagination-disabled-bg};\n  --#{$prefix}pagination-disabled-border-color: #{$pagination-disabled-border-color};\n  // scss-docs-end pagination-css-vars\n\n  display: flex;\n  @include list-unstyled();\n}\n\n.page-link {\n  position: relative;\n  display: block;\n  padding: var(--#{$prefix}pagination-padding-y) var(--#{$prefix}pagination-padding-x);\n  @include font-size(var(--#{$prefix}pagination-font-size));\n  color: var(--#{$prefix}pagination-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background-color: var(--#{$prefix}pagination-bg);\n  border: var(--#{$prefix}pagination-border-width) solid var(--#{$prefix}pagination-border-color);\n  @include transition($pagination-transition);\n\n  &:hover {\n    z-index: 2;\n    color: var(--#{$prefix}pagination-hover-color);\n    text-decoration: if($link-hover-decoration == underline, none, null);\n    background-color: var(--#{$prefix}pagination-hover-bg);\n    border-color: var(--#{$prefix}pagination-hover-border-color);\n  }\n\n  &:focus {\n    z-index: 3;\n    color: var(--#{$prefix}pagination-focus-color);\n    background-color: var(--#{$prefix}pagination-focus-bg);\n    outline: $pagination-focus-outline;\n    box-shadow: var(--#{$prefix}pagination-focus-box-shadow);\n  }\n\n  &.active,\n  .active > & {\n    z-index: 3;\n    color: var(--#{$prefix}pagination-active-color);\n    @include gradient-bg(var(--#{$prefix}pagination-active-bg));\n    border-color: var(--#{$prefix}pagination-active-border-color);\n  }\n\n  &.disabled,\n  .disabled > & {\n    color: var(--#{$prefix}pagination-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}pagination-disabled-bg);\n    border-color: var(--#{$prefix}pagination-disabled-border-color);\n  }\n}\n\n.page-item {\n  &:not(:first-child) .page-link {\n    margin-left: $pagination-margin-start;\n  }\n\n  @if $pagination-margin-start == calc(#{$pagination-border-width} * -1) {\n    &:first-child {\n      .page-link {\n        @include border-start-radius(var(--#{$prefix}pagination-border-radius));\n      }\n    }\n\n    &:last-child {\n      .page-link {\n        @include border-end-radius(var(--#{$prefix}pagination-border-radius));\n      }\n    }\n  } @else {\n    // Add border-radius to all pageLinks in case they have left margin\n    .page-link {\n      @include border-radius(var(--#{$prefix}pagination-border-radius));\n    }\n  }\n}\n\n\n//\n// Sizing\n//\n\n.pagination-lg {\n  @include pagination-size($pagination-padding-y-lg, $pagination-padding-x-lg, $font-size-lg, $pagination-border-radius-lg);\n}\n\n.pagination-sm {\n  @include pagination-size($pagination-padding-y-sm, $pagination-padding-x-sm, $font-size-sm, $pagination-border-radius-sm);\n}\n","// Pagination\n\n// scss-docs-start pagination-mixin\n@mixin pagination-size($padding-y, $padding-x, $font-size, $border-radius) {\n  --#{$prefix}pagination-padding-x: #{$padding-x};\n  --#{$prefix}pagination-padding-y: #{$padding-y};\n  @include rfs($font-size, --#{$prefix}pagination-font-size);\n  --#{$prefix}pagination-border-radius: #{$border-radius};\n}\n// scss-docs-end pagination-mixin\n","// Base class\n//\n// Requires one of the contextual, color modifier classes for `color` and\n// `background-color`.\n\n.badge {\n  // scss-docs-start badge-css-vars\n  --#{$prefix}badge-padding-x: #{$badge-padding-x};\n  --#{$prefix}badge-padding-y: #{$badge-padding-y};\n  @include rfs($badge-font-size, --#{$prefix}badge-font-size);\n  --#{$prefix}badge-font-weight: #{$badge-font-weight};\n  --#{$prefix}badge-color: #{$badge-color};\n  --#{$prefix}badge-border-radius: #{$badge-border-radius};\n  // scss-docs-end badge-css-vars\n\n  display: inline-block;\n  padding: var(--#{$prefix}badge-padding-y) var(--#{$prefix}badge-padding-x);\n  @include font-size(var(--#{$prefix}badge-font-size));\n  font-weight: var(--#{$prefix}badge-font-weight);\n  line-height: 1;\n  color: var(--#{$prefix}badge-color);\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  @include border-radius(var(--#{$prefix}badge-border-radius));\n  @include gradient-bg();\n\n  // Empty badges collapse automatically\n  &:empty {\n    display: none;\n  }\n}\n\n// Quick fix for badges in buttons\n.btn .badge {\n  position: relative;\n  top: -1px;\n}\n","//\n// Base styles\n//\n\n.alert {\n  // scss-docs-start alert-css-vars\n  --#{$prefix}alert-bg: transparent;\n  --#{$prefix}alert-padding-x: #{$alert-padding-x};\n  --#{$prefix}alert-padding-y: #{$alert-padding-y};\n  --#{$prefix}alert-margin-bottom: #{$alert-margin-bottom};\n  --#{$prefix}alert-color: inherit;\n  --#{$prefix}alert-border-color: transparent;\n  --#{$prefix}alert-border: #{$alert-border-width} solid var(--#{$prefix}alert-border-color);\n  --#{$prefix}alert-border-radius: #{$alert-border-radius};\n  --#{$prefix}alert-link-color: inherit;\n  // scss-docs-end alert-css-vars\n\n  position: relative;\n  padding: var(--#{$prefix}alert-padding-y) var(--#{$prefix}alert-padding-x);\n  margin-bottom: var(--#{$prefix}alert-margin-bottom);\n  color: var(--#{$prefix}alert-color);\n  background-color: var(--#{$prefix}alert-bg);\n  border: var(--#{$prefix}alert-border);\n  @include border-radius(var(--#{$prefix}alert-border-radius));\n}\n\n// Headings for larger alerts\n.alert-heading {\n  // Specified to prevent conflicts of changing $headings-color\n  color: inherit;\n}\n\n// Provide class for links that match alerts\n.alert-link {\n  font-weight: $alert-link-font-weight;\n  color: var(--#{$prefix}alert-link-color);\n}\n\n\n// Dismissible alerts\n//\n// Expand the right padding and account for the close button's positioning.\n\n.alert-dismissible {\n  padding-right: $alert-dismissible-padding-r;\n\n  // Adjust close link position\n  .btn-close {\n    position: absolute;\n    top: 0;\n    right: 0;\n    z-index: $stretched-link-z-index + 1;\n    padding: $alert-padding-y * 1.25 $alert-padding-x;\n  }\n}\n\n\n// scss-docs-start alert-modifiers\n// Generate contextual modifier classes for colorizing the alert\n@each $state in map-keys($theme-colors) {\n  .alert-#{$state} {\n    --#{$prefix}alert-color: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}alert-bg: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}alert-border-color: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}alert-link-color: var(--#{$prefix}#{$state}-text-emphasis);\n  }\n}\n// scss-docs-end alert-modifiers\n","// Disable animation if transitions are disabled\n\n// scss-docs-start progress-keyframes\n@if $enable-transitions {\n  @keyframes progress-bar-stripes {\n    0% { background-position-x: $progress-height; }\n  }\n}\n// scss-docs-end progress-keyframes\n\n.progress,\n.progress-stacked {\n  // scss-docs-start progress-css-vars\n  --#{$prefix}progress-height: #{$progress-height};\n  @include rfs($progress-font-size, --#{$prefix}progress-font-size);\n  --#{$prefix}progress-bg: #{$progress-bg};\n  --#{$prefix}progress-border-radius: #{$progress-border-radius};\n  --#{$prefix}progress-box-shadow: #{$progress-box-shadow};\n  --#{$prefix}progress-bar-color: #{$progress-bar-color};\n  --#{$prefix}progress-bar-bg: #{$progress-bar-bg};\n  --#{$prefix}progress-bar-transition: #{$progress-bar-transition};\n  // scss-docs-end progress-css-vars\n\n  display: flex;\n  height: var(--#{$prefix}progress-height);\n  overflow: hidden; // force rounded corners by cropping it\n  @include font-size(var(--#{$prefix}progress-font-size));\n  background-color: var(--#{$prefix}progress-bg);\n  @include border-radius(var(--#{$prefix}progress-border-radius));\n  @include box-shadow(var(--#{$prefix}progress-box-shadow));\n}\n\n.progress-bar {\n  display: flex;\n  flex-direction: column;\n  justify-content: center;\n  overflow: hidden;\n  color: var(--#{$prefix}progress-bar-color);\n  text-align: center;\n  white-space: nowrap;\n  background-color: var(--#{$prefix}progress-bar-bg);\n  @include transition(var(--#{$prefix}progress-bar-transition));\n}\n\n.progress-bar-striped {\n  @include gradient-striped();\n  background-size: var(--#{$prefix}progress-height) var(--#{$prefix}progress-height);\n}\n\n.progress-stacked > .progress {\n  overflow: visible;\n}\n\n.progress-stacked > .progress > .progress-bar {\n  width: 100%;\n}\n\n@if $enable-transitions {\n  .progress-bar-animated {\n    animation: $progress-bar-animation-timing progress-bar-stripes;\n\n    @if $enable-reduced-motion {\n      @media (prefers-reduced-motion: reduce) {\n        animation: none;\n      }\n    }\n  }\n}\n","// Base class\n//\n// Easily usable on <ul>, <ol>, or <div>.\n\n.list-group {\n  // scss-docs-start list-group-css-vars\n  --#{$prefix}list-group-color: #{$list-group-color};\n  --#{$prefix}list-group-bg: #{$list-group-bg};\n  --#{$prefix}list-group-border-color: #{$list-group-border-color};\n  --#{$prefix}list-group-border-width: #{$list-group-border-width};\n  --#{$prefix}list-group-border-radius: #{$list-group-border-radius};\n  --#{$prefix}list-group-item-padding-x: #{$list-group-item-padding-x};\n  --#{$prefix}list-group-item-padding-y: #{$list-group-item-padding-y};\n  --#{$prefix}list-group-action-color: #{$list-group-action-color};\n  --#{$prefix}list-group-action-hover-color: #{$list-group-action-hover-color};\n  --#{$prefix}list-group-action-hover-bg: #{$list-group-hover-bg};\n  --#{$prefix}list-group-action-active-color: #{$list-group-action-active-color};\n  --#{$prefix}list-group-action-active-bg: #{$list-group-action-active-bg};\n  --#{$prefix}list-group-disabled-color: #{$list-group-disabled-color};\n  --#{$prefix}list-group-disabled-bg: #{$list-group-disabled-bg};\n  --#{$prefix}list-group-active-color: #{$list-group-active-color};\n  --#{$prefix}list-group-active-bg: #{$list-group-active-bg};\n  --#{$prefix}list-group-active-border-color: #{$list-group-active-border-color};\n  // scss-docs-end list-group-css-vars\n\n  display: flex;\n  flex-direction: column;\n\n  // No need to set list-style: none; since .list-group-item is block level\n  padding-left: 0; // reset padding because ul and ol\n  margin-bottom: 0;\n  @include border-radius(var(--#{$prefix}list-group-border-radius));\n}\n\n.list-group-numbered {\n  list-style-type: none;\n  counter-reset: section;\n\n  > .list-group-item::before {\n    // Increments only this instance of the section counter\n    content: counters(section, \".\") \". \";\n    counter-increment: section;\n  }\n}\n\n// Interactive list items\n//\n// Use anchor or button elements instead of `li`s or `div`s to create interactive\n// list items. Includes an extra `.active` modifier class for selected items.\n\n.list-group-item-action {\n  width: 100%; // For `<button>`s (anchors become 100% by default though)\n  color: var(--#{$prefix}list-group-action-color);\n  text-align: inherit; // For `<button>`s (anchors inherit)\n\n  // Hover state\n  &:hover,\n  &:focus {\n    z-index: 1; // Place hover/focus items above their siblings for proper border styling\n    color: var(--#{$prefix}list-group-action-hover-color);\n    text-decoration: none;\n    background-color: var(--#{$prefix}list-group-action-hover-bg);\n  }\n\n  &:active {\n    color: var(--#{$prefix}list-group-action-active-color);\n    background-color: var(--#{$prefix}list-group-action-active-bg);\n  }\n}\n\n// Individual list items\n//\n// Use on `li`s or `div`s within the `.list-group` parent.\n\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: var(--#{$prefix}list-group-item-padding-y) var(--#{$prefix}list-group-item-padding-x);\n  color: var(--#{$prefix}list-group-color);\n  text-decoration: if($link-decoration == none, null, none);\n  background-color: var(--#{$prefix}list-group-bg);\n  border: var(--#{$prefix}list-group-border-width) solid var(--#{$prefix}list-group-border-color);\n\n  &:first-child {\n    @include border-top-radius(inherit);\n  }\n\n  &:last-child {\n    @include border-bottom-radius(inherit);\n  }\n\n  &.disabled,\n  &:disabled {\n    color: var(--#{$prefix}list-group-disabled-color);\n    pointer-events: none;\n    background-color: var(--#{$prefix}list-group-disabled-bg);\n  }\n\n  // Include both here for `<a>`s and `<button>`s\n  &.active {\n    z-index: 2; // Place active items above their siblings for proper border styling\n    color: var(--#{$prefix}list-group-active-color);\n    background-color: var(--#{$prefix}list-group-active-bg);\n    border-color: var(--#{$prefix}list-group-active-border-color);\n  }\n\n  // stylelint-disable-next-line scss/selector-no-redundant-nesting-selector\n  & + .list-group-item {\n    border-top-width: 0;\n\n    &.active {\n      margin-top: calc(-1 * var(--#{$prefix}list-group-border-width)); // stylelint-disable-line function-disallowed-list\n      border-top-width: var(--#{$prefix}list-group-border-width);\n    }\n  }\n}\n\n// Horizontal\n//\n// Change the layout of list group items from vertical (default) to horizontal.\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .list-group-horizontal#{$infix} {\n      flex-direction: row;\n\n      > .list-group-item {\n        &:first-child:not(:last-child) {\n          @include border-bottom-start-radius(var(--#{$prefix}list-group-border-radius));\n          @include border-top-end-radius(0);\n        }\n\n        &:last-child:not(:first-child) {\n          @include border-top-end-radius(var(--#{$prefix}list-group-border-radius));\n          @include border-bottom-start-radius(0);\n        }\n\n        &.active {\n          margin-top: 0;\n        }\n\n        + .list-group-item {\n          border-top-width: var(--#{$prefix}list-group-border-width);\n          border-left-width: 0;\n\n          &.active {\n            margin-left: calc(-1 * var(--#{$prefix}list-group-border-width)); // stylelint-disable-line function-disallowed-list\n            border-left-width: var(--#{$prefix}list-group-border-width);\n          }\n        }\n      }\n    }\n  }\n}\n\n\n// Flush list items\n//\n// Remove borders and border-radius to keep list group items edge-to-edge. Most\n// useful within other components (e.g., cards).\n\n.list-group-flush {\n  @include border-radius(0);\n\n  > .list-group-item {\n    border-width: 0 0 var(--#{$prefix}list-group-border-width);\n\n    &:last-child {\n      border-bottom-width: 0;\n    }\n  }\n}\n\n\n// scss-docs-start list-group-modifiers\n// List group contextual variants\n//\n// Add modifier classes to change text and background color on individual items.\n// Organizationally, this must come after the `:hover` states.\n\n@each $state in map-keys($theme-colors) {\n  .list-group-item-#{$state} {\n    --#{$prefix}list-group-color: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}list-group-bg: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}list-group-border-color: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-action-hover-color: var(--#{$prefix}emphasis-color);\n    --#{$prefix}list-group-action-hover-bg: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-action-active-color: var(--#{$prefix}emphasis-color);\n    --#{$prefix}list-group-action-active-bg: var(--#{$prefix}#{$state}-border-subtle);\n    --#{$prefix}list-group-active-color: var(--#{$prefix}#{$state}-bg-subtle);\n    --#{$prefix}list-group-active-bg: var(--#{$prefix}#{$state}-text-emphasis);\n    --#{$prefix}list-group-active-border-color: var(--#{$prefix}#{$state}-text-emphasis);\n  }\n}\n// scss-docs-end list-group-modifiers\n","// Transparent background and border properties included for button version.\n// iOS requires the button element instead of an anchor tag.\n// If you want the anchor version, it requires `href=\"#\"`.\n// See https://developer.mozilla.org/en-US/docs/Web/Events/click#Safari_Mobile\n\n.btn-close {\n  // scss-docs-start close-css-vars\n  --#{$prefix}btn-close-color: #{$btn-close-color};\n  --#{$prefix}btn-close-bg: #{ escape-svg($btn-close-bg) };\n  --#{$prefix}btn-close-opacity: #{$btn-close-opacity};\n  --#{$prefix}btn-close-hover-opacity: #{$btn-close-hover-opacity};\n  --#{$prefix}btn-close-focus-shadow: #{$btn-close-focus-shadow};\n  --#{$prefix}btn-close-focus-opacity: #{$btn-close-focus-opacity};\n  --#{$prefix}btn-close-disabled-opacity: #{$btn-close-disabled-opacity};\n  --#{$prefix}btn-close-white-filter: #{$btn-close-white-filter};\n  // scss-docs-end close-css-vars\n\n  box-sizing: content-box;\n  width: $btn-close-width;\n  height: $btn-close-height;\n  padding: $btn-close-padding-y $btn-close-padding-x;\n  color: var(--#{$prefix}btn-close-color);\n  background: transparent var(--#{$prefix}btn-close-bg) center / $btn-close-width auto no-repeat; // include transparent for button elements\n  border: 0; // for button elements\n  @include border-radius();\n  opacity: var(--#{$prefix}btn-close-opacity);\n\n  // Override <a>'s hover style\n  &:hover {\n    color: var(--#{$prefix}btn-close-color);\n    text-decoration: none;\n    opacity: var(--#{$prefix}btn-close-hover-opacity);\n  }\n\n  &:focus {\n    outline: 0;\n    box-shadow: var(--#{$prefix}btn-close-focus-shadow);\n    opacity: var(--#{$prefix}btn-close-focus-opacity);\n  }\n\n  &:disabled,\n  &.disabled {\n    pointer-events: none;\n    user-select: none;\n    opacity: var(--#{$prefix}btn-close-disabled-opacity);\n  }\n}\n\n@mixin btn-close-white() {\n  filter: var(--#{$prefix}btn-close-white-filter);\n}\n\n.btn-close-white {\n  @include btn-close-white();\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    .btn-close {\n      @include btn-close-white();\n    }\n  }\n}\n",".toast {\n  // scss-docs-start toast-css-vars\n  --#{$prefix}toast-zindex: #{$zindex-toast};\n  --#{$prefix}toast-padding-x: #{$toast-padding-x};\n  --#{$prefix}toast-padding-y: #{$toast-padding-y};\n  --#{$prefix}toast-spacing: #{$toast-spacing};\n  --#{$prefix}toast-max-width: #{$toast-max-width};\n  @include rfs($toast-font-size, --#{$prefix}toast-font-size);\n  --#{$prefix}toast-color: #{$toast-color};\n  --#{$prefix}toast-bg: #{$toast-background-color};\n  --#{$prefix}toast-border-width: #{$toast-border-width};\n  --#{$prefix}toast-border-color: #{$toast-border-color};\n  --#{$prefix}toast-border-radius: #{$toast-border-radius};\n  --#{$prefix}toast-box-shadow: #{$toast-box-shadow};\n  --#{$prefix}toast-header-color: #{$toast-header-color};\n  --#{$prefix}toast-header-bg: #{$toast-header-background-color};\n  --#{$prefix}toast-header-border-color: #{$toast-header-border-color};\n  // scss-docs-end toast-css-vars\n\n  width: var(--#{$prefix}toast-max-width);\n  max-width: 100%;\n  @include font-size(var(--#{$prefix}toast-font-size));\n  color: var(--#{$prefix}toast-color);\n  pointer-events: auto;\n  background-color: var(--#{$prefix}toast-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}toast-border-width) solid var(--#{$prefix}toast-border-color);\n  box-shadow: var(--#{$prefix}toast-box-shadow);\n  @include border-radius(var(--#{$prefix}toast-border-radius));\n\n  &.showing {\n    opacity: 0;\n  }\n\n  &:not(.show) {\n    display: none;\n  }\n}\n\n.toast-container {\n  --#{$prefix}toast-zindex: #{$zindex-toast};\n\n  position: absolute;\n  z-index: var(--#{$prefix}toast-zindex);\n  width: max-content;\n  max-width: 100%;\n  pointer-events: none;\n\n  > :not(:last-child) {\n    margin-bottom: var(--#{$prefix}toast-spacing);\n  }\n}\n\n.toast-header {\n  display: flex;\n  align-items: center;\n  padding: var(--#{$prefix}toast-padding-y) var(--#{$prefix}toast-padding-x);\n  color: var(--#{$prefix}toast-header-color);\n  background-color: var(--#{$prefix}toast-header-bg);\n  background-clip: padding-box;\n  border-bottom: var(--#{$prefix}toast-border-width) solid var(--#{$prefix}toast-header-border-color);\n  @include border-top-radius(calc(var(--#{$prefix}toast-border-radius) - var(--#{$prefix}toast-border-width)));\n\n  .btn-close {\n    margin-right: calc(-.5 * var(--#{$prefix}toast-padding-x)); // stylelint-disable-line function-disallowed-list\n    margin-left: var(--#{$prefix}toast-padding-x);\n  }\n}\n\n.toast-body {\n  padding: var(--#{$prefix}toast-padding-x);\n  word-wrap: break-word;\n}\n","// stylelint-disable function-disallowed-list\n\n// .modal-open      - body class for killing the scroll\n// .modal           - container to scroll within\n// .modal-dialog    - positioning shell for the actual modal\n// .modal-content   - actual modal w/ bg and corners and stuff\n\n\n// Container that the modal scrolls within\n.modal {\n  // scss-docs-start modal-css-vars\n  --#{$prefix}modal-zindex: #{$zindex-modal};\n  --#{$prefix}modal-width: #{$modal-md};\n  --#{$prefix}modal-padding: #{$modal-inner-padding};\n  --#{$prefix}modal-margin: #{$modal-dialog-margin};\n  --#{$prefix}modal-color: #{$modal-content-color};\n  --#{$prefix}modal-bg: #{$modal-content-bg};\n  --#{$prefix}modal-border-color: #{$modal-content-border-color};\n  --#{$prefix}modal-border-width: #{$modal-content-border-width};\n  --#{$prefix}modal-border-radius: #{$modal-content-border-radius};\n  --#{$prefix}modal-box-shadow: #{$modal-content-box-shadow-xs};\n  --#{$prefix}modal-inner-border-radius: #{$modal-content-inner-border-radius};\n  --#{$prefix}modal-header-padding-x: #{$modal-header-padding-x};\n  --#{$prefix}modal-header-padding-y: #{$modal-header-padding-y};\n  --#{$prefix}modal-header-padding: #{$modal-header-padding}; // Todo in v6: Split this padding into x and y\n  --#{$prefix}modal-header-border-color: #{$modal-header-border-color};\n  --#{$prefix}modal-header-border-width: #{$modal-header-border-width};\n  --#{$prefix}modal-title-line-height: #{$modal-title-line-height};\n  --#{$prefix}modal-footer-gap: #{$modal-footer-margin-between};\n  --#{$prefix}modal-footer-bg: #{$modal-footer-bg};\n  --#{$prefix}modal-footer-border-color: #{$modal-footer-border-color};\n  --#{$prefix}modal-footer-border-width: #{$modal-footer-border-width};\n  // scss-docs-end modal-css-vars\n\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: var(--#{$prefix}modal-zindex);\n  display: none;\n  width: 100%;\n  height: 100%;\n  overflow-x: hidden;\n  overflow-y: auto;\n  // Prevent Chrome on Windows from adding a focus outline. For details, see\n  // https://github.com/twbs/bootstrap/pull/10951.\n  outline: 0;\n  // We deliberately don't use `-webkit-overflow-scrolling: touch;` due to a\n  // gnarly iOS Safari bug: https://bugs.webkit.org/show_bug.cgi?id=158342\n  // See also https://github.com/twbs/bootstrap/issues/17695\n}\n\n// Shell div to position the modal with bottom padding\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: var(--#{$prefix}modal-margin);\n  // allow clicks to pass through for custom click handling to close modal\n  pointer-events: none;\n\n  // When fading in the modal, animate it to slide down\n  .modal.fade & {\n    @include transition($modal-transition);\n    transform: $modal-fade-transform;\n  }\n  .modal.show & {\n    transform: $modal-show-transform;\n  }\n\n  // When trying to close, animate focus to scale\n  .modal.modal-static & {\n    transform: $modal-scale-transform;\n  }\n}\n\n.modal-dialog-scrollable {\n  height: calc(100% - var(--#{$prefix}modal-margin) * 2);\n\n  .modal-content {\n    max-height: 100%;\n    overflow: hidden;\n  }\n\n  .modal-body {\n    overflow-y: auto;\n  }\n}\n\n.modal-dialog-centered {\n  display: flex;\n  align-items: center;\n  min-height: calc(100% - var(--#{$prefix}modal-margin) * 2);\n}\n\n// Actual modal\n.modal-content {\n  position: relative;\n  display: flex;\n  flex-direction: column;\n  width: 100%; // Ensure `.modal-content` extends the full width of the parent `.modal-dialog`\n  // counteract the pointer-events: none; in the .modal-dialog\n  color: var(--#{$prefix}modal-color);\n  pointer-events: auto;\n  background-color: var(--#{$prefix}modal-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}modal-border-width) solid var(--#{$prefix}modal-border-color);\n  @include border-radius(var(--#{$prefix}modal-border-radius));\n  @include box-shadow(var(--#{$prefix}modal-box-shadow));\n  // Remove focus outline from opened modal\n  outline: 0;\n}\n\n// Modal background\n.modal-backdrop {\n  // scss-docs-start modal-backdrop-css-vars\n  --#{$prefix}backdrop-zindex: #{$zindex-modal-backdrop};\n  --#{$prefix}backdrop-bg: #{$modal-backdrop-bg};\n  --#{$prefix}backdrop-opacity: #{$modal-backdrop-opacity};\n  // scss-docs-end modal-backdrop-css-vars\n\n  @include overlay-backdrop(var(--#{$prefix}backdrop-zindex), var(--#{$prefix}backdrop-bg), var(--#{$prefix}backdrop-opacity));\n}\n\n// Modal header\n// Top section of the modal w/ title and dismiss\n.modal-header {\n  display: flex;\n  flex-shrink: 0;\n  align-items: center;\n  justify-content: space-between; // Put modal header elements (title and dismiss) on opposite ends\n  padding: var(--#{$prefix}modal-header-padding);\n  border-bottom: var(--#{$prefix}modal-header-border-width) solid var(--#{$prefix}modal-header-border-color);\n  @include border-top-radius(var(--#{$prefix}modal-inner-border-radius));\n\n  .btn-close {\n    padding: calc(var(--#{$prefix}modal-header-padding-y) * .5) calc(var(--#{$prefix}modal-header-padding-x) * .5);\n    margin: calc(-.5 * var(--#{$prefix}modal-header-padding-y)) calc(-.5 * var(--#{$prefix}modal-header-padding-x)) calc(-.5 * var(--#{$prefix}modal-header-padding-y)) auto;\n  }\n}\n\n// Title text within header\n.modal-title {\n  margin-bottom: 0;\n  line-height: var(--#{$prefix}modal-title-line-height);\n}\n\n// Modal body\n// Where all modal content resides (sibling of .modal-header and .modal-footer)\n.modal-body {\n  position: relative;\n  // Enable `flex-grow: 1` so that the body take up as much space as possible\n  // when there should be a fixed height on `.modal-dialog`.\n  flex: 1 1 auto;\n  padding: var(--#{$prefix}modal-padding);\n}\n\n// Footer (for actions)\n.modal-footer {\n  display: flex;\n  flex-shrink: 0;\n  flex-wrap: wrap;\n  align-items: center; // vertically center\n  justify-content: flex-end; // Right align buttons with flex property because text-align doesn't work on flex items\n  padding: calc(var(--#{$prefix}modal-padding) - var(--#{$prefix}modal-footer-gap) * .5);\n  background-color: var(--#{$prefix}modal-footer-bg);\n  border-top: var(--#{$prefix}modal-footer-border-width) solid var(--#{$prefix}modal-footer-border-color);\n  @include border-bottom-radius(var(--#{$prefix}modal-inner-border-radius));\n\n  // Place margin between footer elements\n  // This solution is far from ideal because of the universal selector usage,\n  // but is needed to fix https://github.com/twbs/bootstrap/issues/24800\n  > * {\n    margin: calc(var(--#{$prefix}modal-footer-gap) * .5); // Todo in v6: replace with gap on parent class\n  }\n}\n\n// Scale up the modal\n@include media-breakpoint-up(sm) {\n  .modal {\n    --#{$prefix}modal-margin: #{$modal-dialog-margin-y-sm-up};\n    --#{$prefix}modal-box-shadow: #{$modal-content-box-shadow-sm-up};\n  }\n\n  // Automatically set modal's width for larger viewports\n  .modal-dialog {\n    max-width: var(--#{$prefix}modal-width);\n    margin-right: auto;\n    margin-left: auto;\n  }\n\n  .modal-sm {\n    --#{$prefix}modal-width: #{$modal-sm};\n  }\n}\n\n@include media-breakpoint-up(lg) {\n  .modal-lg,\n  .modal-xl {\n    --#{$prefix}modal-width: #{$modal-lg};\n  }\n}\n\n@include media-breakpoint-up(xl) {\n  .modal-xl {\n    --#{$prefix}modal-width: #{$modal-xl};\n  }\n}\n\n// scss-docs-start modal-fullscreen-loop\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n  $postfix: if($infix != \"\", $infix + \"-down\", \"\");\n\n  @include media-breakpoint-down($breakpoint) {\n    .modal-fullscreen#{$postfix} {\n      width: 100vw;\n      max-width: none;\n      height: 100%;\n      margin: 0;\n\n      .modal-content {\n        height: 100%;\n        border: 0;\n        @include border-radius(0);\n      }\n\n      .modal-header,\n      .modal-footer {\n        @include border-radius(0);\n      }\n\n      .modal-body {\n        overflow-y: auto;\n      }\n    }\n  }\n}\n// scss-docs-end modal-fullscreen-loop\n","// Shared between modals and offcanvases\n@mixin overlay-backdrop($zindex, $backdrop-bg, $backdrop-opacity) {\n  position: fixed;\n  top: 0;\n  left: 0;\n  z-index: $zindex;\n  width: 100vw;\n  height: 100vh;\n  background-color: $backdrop-bg;\n\n  // Fade for backdrop\n  &.fade { opacity: 0; }\n  &.show { opacity: $backdrop-opacity; }\n}\n","// Base class\n.tooltip {\n  // scss-docs-start tooltip-css-vars\n  --#{$prefix}tooltip-zindex: #{$zindex-tooltip};\n  --#{$prefix}tooltip-max-width: #{$tooltip-max-width};\n  --#{$prefix}tooltip-padding-x: #{$tooltip-padding-x};\n  --#{$prefix}tooltip-padding-y: #{$tooltip-padding-y};\n  --#{$prefix}tooltip-margin: #{$tooltip-margin};\n  @include rfs($tooltip-font-size, --#{$prefix}tooltip-font-size);\n  --#{$prefix}tooltip-color: #{$tooltip-color};\n  --#{$prefix}tooltip-bg: #{$tooltip-bg};\n  --#{$prefix}tooltip-border-radius: #{$tooltip-border-radius};\n  --#{$prefix}tooltip-opacity: #{$tooltip-opacity};\n  --#{$prefix}tooltip-arrow-width: #{$tooltip-arrow-width};\n  --#{$prefix}tooltip-arrow-height: #{$tooltip-arrow-height};\n  // scss-docs-end tooltip-css-vars\n\n  z-index: var(--#{$prefix}tooltip-zindex);\n  display: block;\n  margin: var(--#{$prefix}tooltip-margin);\n  @include deprecate(\"`$tooltip-margin`\", \"v5\", \"v5.x\", true);\n  // Our parent element can be arbitrary since tooltips are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  @include reset-text();\n  @include font-size(var(--#{$prefix}tooltip-font-size));\n  // Allow breaking very long words so they don't overflow the tooltip's bounds\n  word-wrap: break-word;\n  opacity: 0;\n\n  &.show { opacity: var(--#{$prefix}tooltip-opacity); }\n\n  .tooltip-arrow {\n    display: block;\n    width: var(--#{$prefix}tooltip-arrow-width);\n    height: var(--#{$prefix}tooltip-arrow-height);\n\n    &::before {\n      position: absolute;\n      content: \"\";\n      border-color: transparent;\n      border-style: solid;\n    }\n  }\n}\n\n.bs-tooltip-top .tooltip-arrow {\n  bottom: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n\n  &::before {\n    top: -1px;\n    border-width: var(--#{$prefix}tooltip-arrow-height) calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    border-top-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-end .tooltip-arrow {\n  left: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n  width: var(--#{$prefix}tooltip-arrow-height);\n  height: var(--#{$prefix}tooltip-arrow-width);\n\n  &::before {\n    right: -1px;\n    border-width: calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height) calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    border-right-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-tooltip-bottom .tooltip-arrow {\n  top: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n\n  &::before {\n    bottom: -1px;\n    border-width: 0 calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height); // stylelint-disable-line function-disallowed-list\n    border-bottom-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-tooltip-start .tooltip-arrow {\n  right: calc(-1 * var(--#{$prefix}tooltip-arrow-height)); // stylelint-disable-line function-disallowed-list\n  width: var(--#{$prefix}tooltip-arrow-height);\n  height: var(--#{$prefix}tooltip-arrow-width);\n\n  &::before {\n    left: -1px;\n    border-width: calc(var(--#{$prefix}tooltip-arrow-width) * .5) 0 calc(var(--#{$prefix}tooltip-arrow-width) * .5) var(--#{$prefix}tooltip-arrow-height); // stylelint-disable-line function-disallowed-list\n    border-left-color: var(--#{$prefix}tooltip-bg);\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-tooltip-auto {\n  &[data-popper-placement^=\"top\"] {\n    @extend .bs-tooltip-top;\n  }\n  &[data-popper-placement^=\"right\"] {\n    @extend .bs-tooltip-end;\n  }\n  &[data-popper-placement^=\"bottom\"] {\n    @extend .bs-tooltip-bottom;\n  }\n  &[data-popper-placement^=\"left\"] {\n    @extend .bs-tooltip-start;\n  }\n}\n\n// Wrapper for the tooltip content\n.tooltip-inner {\n  max-width: var(--#{$prefix}tooltip-max-width);\n  padding: var(--#{$prefix}tooltip-padding-y) var(--#{$prefix}tooltip-padding-x);\n  color: var(--#{$prefix}tooltip-color);\n  text-align: center;\n  background-color: var(--#{$prefix}tooltip-bg);\n  @include border-radius(var(--#{$prefix}tooltip-border-radius));\n}\n","@mixin reset-text {\n  font-family: $font-family-base;\n  // We deliberately do NOT reset font-size or overflow-wrap / word-wrap.\n  font-style: normal;\n  font-weight: $font-weight-normal;\n  line-height: $line-height-base;\n  text-align: left; // Fallback for where `start` is not supported\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  white-space: normal;\n  word-spacing: normal;\n  line-break: auto;\n}\n",".popover {\n  // scss-docs-start popover-css-vars\n  --#{$prefix}popover-zindex: #{$zindex-popover};\n  --#{$prefix}popover-max-width: #{$popover-max-width};\n  @include rfs($popover-font-size, --#{$prefix}popover-font-size);\n  --#{$prefix}popover-bg: #{$popover-bg};\n  --#{$prefix}popover-border-width: #{$popover-border-width};\n  --#{$prefix}popover-border-color: #{$popover-border-color};\n  --#{$prefix}popover-border-radius: #{$popover-border-radius};\n  --#{$prefix}popover-inner-border-radius: #{$popover-inner-border-radius};\n  --#{$prefix}popover-box-shadow: #{$popover-box-shadow};\n  --#{$prefix}popover-header-padding-x: #{$popover-header-padding-x};\n  --#{$prefix}popover-header-padding-y: #{$popover-header-padding-y};\n  @include rfs($popover-header-font-size, --#{$prefix}popover-header-font-size);\n  --#{$prefix}popover-header-color: #{$popover-header-color};\n  --#{$prefix}popover-header-bg: #{$popover-header-bg};\n  --#{$prefix}popover-body-padding-x: #{$popover-body-padding-x};\n  --#{$prefix}popover-body-padding-y: #{$popover-body-padding-y};\n  --#{$prefix}popover-body-color: #{$popover-body-color};\n  --#{$prefix}popover-arrow-width: #{$popover-arrow-width};\n  --#{$prefix}popover-arrow-height: #{$popover-arrow-height};\n  --#{$prefix}popover-arrow-border: var(--#{$prefix}popover-border-color);\n  // scss-docs-end popover-css-vars\n\n  z-index: var(--#{$prefix}popover-zindex);\n  display: block;\n  max-width: var(--#{$prefix}popover-max-width);\n  // Our parent element can be arbitrary since tooltips are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  @include reset-text();\n  @include font-size(var(--#{$prefix}popover-font-size));\n  // Allow breaking very long words so they don't overflow the popover's bounds\n  word-wrap: break-word;\n  background-color: var(--#{$prefix}popover-bg);\n  background-clip: padding-box;\n  border: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-border-color);\n  @include border-radius(var(--#{$prefix}popover-border-radius));\n  @include box-shadow(var(--#{$prefix}popover-box-shadow));\n\n  .popover-arrow {\n    display: block;\n    width: var(--#{$prefix}popover-arrow-width);\n    height: var(--#{$prefix}popover-arrow-height);\n\n    &::before,\n    &::after {\n      position: absolute;\n      display: block;\n      content: \"\";\n      border-color: transparent;\n      border-style: solid;\n      border-width: 0;\n    }\n  }\n}\n\n.bs-popover-top {\n  > .popover-arrow {\n    bottom: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n\n    &::before,\n    &::after {\n      border-width: var(--#{$prefix}popover-arrow-height) calc(var(--#{$prefix}popover-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      bottom: 0;\n      border-top-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      bottom: var(--#{$prefix}popover-border-width);\n      border-top-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-popover-end {\n  > .popover-arrow {\n    left: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n    width: var(--#{$prefix}popover-arrow-height);\n    height: var(--#{$prefix}popover-arrow-width);\n\n    &::before,\n    &::after {\n      border-width: calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height) calc(var(--#{$prefix}popover-arrow-width) * .5) 0; // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      left: 0;\n      border-right-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      left: var(--#{$prefix}popover-border-width);\n      border-right-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-popover-bottom {\n  > .popover-arrow {\n    top: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n\n    &::before,\n    &::after {\n      border-width: 0 calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height); // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      top: 0;\n      border-bottom-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      top: var(--#{$prefix}popover-border-width);\n      border-bottom-color: var(--#{$prefix}popover-bg);\n    }\n  }\n\n  // This will remove the popover-header's border just below the arrow\n  .popover-header::before {\n    position: absolute;\n    top: 0;\n    left: 50%;\n    display: block;\n    width: var(--#{$prefix}popover-arrow-width);\n    margin-left: calc(-.5 * var(--#{$prefix}popover-arrow-width)); // stylelint-disable-line function-disallowed-list\n    content: \"\";\n    border-bottom: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-header-bg);\n  }\n}\n\n/* rtl:begin:ignore */\n.bs-popover-start {\n  > .popover-arrow {\n    right: calc(-1 * (var(--#{$prefix}popover-arrow-height)) - var(--#{$prefix}popover-border-width)); // stylelint-disable-line function-disallowed-list\n    width: var(--#{$prefix}popover-arrow-height);\n    height: var(--#{$prefix}popover-arrow-width);\n\n    &::before,\n    &::after {\n      border-width: calc(var(--#{$prefix}popover-arrow-width) * .5) 0 calc(var(--#{$prefix}popover-arrow-width) * .5) var(--#{$prefix}popover-arrow-height); // stylelint-disable-line function-disallowed-list\n    }\n\n    &::before {\n      right: 0;\n      border-left-color: var(--#{$prefix}popover-arrow-border);\n    }\n\n    &::after {\n      right: var(--#{$prefix}popover-border-width);\n      border-left-color: var(--#{$prefix}popover-bg);\n    }\n  }\n}\n\n/* rtl:end:ignore */\n\n.bs-popover-auto {\n  &[data-popper-placement^=\"top\"] {\n    @extend .bs-popover-top;\n  }\n  &[data-popper-placement^=\"right\"] {\n    @extend .bs-popover-end;\n  }\n  &[data-popper-placement^=\"bottom\"] {\n    @extend .bs-popover-bottom;\n  }\n  &[data-popper-placement^=\"left\"] {\n    @extend .bs-popover-start;\n  }\n}\n\n// Offset the popover to account for the popover arrow\n.popover-header {\n  padding: var(--#{$prefix}popover-header-padding-y) var(--#{$prefix}popover-header-padding-x);\n  margin-bottom: 0; // Reset the default from Reboot\n  @include font-size(var(--#{$prefix}popover-header-font-size));\n  color: var(--#{$prefix}popover-header-color);\n  background-color: var(--#{$prefix}popover-header-bg);\n  border-bottom: var(--#{$prefix}popover-border-width) solid var(--#{$prefix}popover-border-color);\n  @include border-top-radius(var(--#{$prefix}popover-inner-border-radius));\n\n  &:empty {\n    display: none;\n  }\n}\n\n.popover-body {\n  padding: var(--#{$prefix}popover-body-padding-y) var(--#{$prefix}popover-body-padding-x);\n  color: var(--#{$prefix}popover-body-color);\n}\n","// Notes on the classes:\n//\n// 1. .carousel.pointer-event should ideally be pan-y (to allow for users to scroll vertically)\n//    even when their scroll action started on a carousel, but for compatibility (with Firefox)\n//    we're preventing all actions instead\n// 2. The .carousel-item-start and .carousel-item-end is used to indicate where\n//    the active slide is heading.\n// 3. .active.carousel-item is the current slide.\n// 4. .active.carousel-item-start and .active.carousel-item-end is the current\n//    slide in its in-transition state. Only one of these occurs at a time.\n// 5. .carousel-item-next.carousel-item-start and .carousel-item-prev.carousel-item-end\n//    is the upcoming slide in transition.\n\n.carousel {\n  position: relative;\n}\n\n.carousel.pointer-event {\n  touch-action: pan-y;\n}\n\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n  @include clearfix();\n}\n\n.carousel-item {\n  position: relative;\n  display: none;\n  float: left;\n  width: 100%;\n  margin-right: -100%;\n  backface-visibility: hidden;\n  @include transition($carousel-transition);\n}\n\n.carousel-item.active,\n.carousel-item-next,\n.carousel-item-prev {\n  display: block;\n}\n\n.carousel-item-next:not(.carousel-item-start),\n.active.carousel-item-end {\n  transform: translateX(100%);\n}\n\n.carousel-item-prev:not(.carousel-item-end),\n.active.carousel-item-start {\n  transform: translateX(-100%);\n}\n\n\n//\n// Alternate transitions\n//\n\n.carousel-fade {\n  .carousel-item {\n    opacity: 0;\n    transition-property: opacity;\n    transform: none;\n  }\n\n  .carousel-item.active,\n  .carousel-item-next.carousel-item-start,\n  .carousel-item-prev.carousel-item-end {\n    z-index: 1;\n    opacity: 1;\n  }\n\n  .active.carousel-item-start,\n  .active.carousel-item-end {\n    z-index: 0;\n    opacity: 0;\n    @include transition(opacity 0s $carousel-transition-duration);\n  }\n}\n\n\n//\n// Left/right controls for nav\n//\n\n.carousel-control-prev,\n.carousel-control-next {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  z-index: 1;\n  // Use flex for alignment (1-3)\n  display: flex; // 1. allow flex styles\n  align-items: center; // 2. vertically center contents\n  justify-content: center; // 3. horizontally center contents\n  width: $carousel-control-width;\n  padding: 0;\n  color: $carousel-control-color;\n  text-align: center;\n  background: none;\n  border: 0;\n  opacity: $carousel-control-opacity;\n  @include transition($carousel-control-transition);\n\n  // Hover/focus state\n  &:hover,\n  &:focus {\n    color: $carousel-control-color;\n    text-decoration: none;\n    outline: 0;\n    opacity: $carousel-control-hover-opacity;\n  }\n}\n.carousel-control-prev {\n  left: 0;\n  background-image: if($enable-gradients, linear-gradient(90deg, rgba($black, .25), rgba($black, .001)), null);\n}\n.carousel-control-next {\n  right: 0;\n  background-image: if($enable-gradients, linear-gradient(270deg, rgba($black, .25), rgba($black, .001)), null);\n}\n\n// Icons for within\n.carousel-control-prev-icon,\n.carousel-control-next-icon {\n  display: inline-block;\n  width: $carousel-control-icon-width;\n  height: $carousel-control-icon-width;\n  background-repeat: no-repeat;\n  background-position: 50%;\n  background-size: 100% 100%;\n}\n\n/* rtl:options: {\n  \"autoRename\": true,\n  \"stringMap\":[ {\n    \"name\"    : \"prev-next\",\n    \"search\"  : \"prev\",\n    \"replace\" : \"next\"\n  } ]\n} */\n.carousel-control-prev-icon {\n  background-image: escape-svg($carousel-control-prev-icon-bg);\n}\n.carousel-control-next-icon {\n  background-image: escape-svg($carousel-control-next-icon-bg);\n}\n\n// Optional indicator pips/controls\n//\n// Add a container (such as a list) with the following class and add an item (ideally a focusable control,\n// like a button) with data-bs-target for each slide your carousel holds.\n\n.carousel-indicators {\n  position: absolute;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 2;\n  display: flex;\n  justify-content: center;\n  padding: 0;\n  // Use the .carousel-control's width as margin so we don't overlay those\n  margin-right: $carousel-control-width;\n  margin-bottom: 1rem;\n  margin-left: $carousel-control-width;\n\n  [data-bs-target] {\n    box-sizing: content-box;\n    flex: 0 1 auto;\n    width: $carousel-indicator-width;\n    height: $carousel-indicator-height;\n    padding: 0;\n    margin-right: $carousel-indicator-spacer;\n    margin-left: $carousel-indicator-spacer;\n    text-indent: -999px;\n    cursor: pointer;\n    background-color: $carousel-indicator-active-bg;\n    background-clip: padding-box;\n    border: 0;\n    // Use transparent borders to increase the hit area by 10px on top and bottom.\n    border-top: $carousel-indicator-hit-area-height solid transparent;\n    border-bottom: $carousel-indicator-hit-area-height solid transparent;\n    opacity: $carousel-indicator-opacity;\n    @include transition($carousel-indicator-transition);\n  }\n\n  .active {\n    opacity: $carousel-indicator-active-opacity;\n  }\n}\n\n\n// Optional captions\n//\n//\n\n.carousel-caption {\n  position: absolute;\n  right: (100% - $carousel-caption-width) * .5;\n  bottom: $carousel-caption-spacer;\n  left: (100% - $carousel-caption-width) * .5;\n  padding-top: $carousel-caption-padding-y;\n  padding-bottom: $carousel-caption-padding-y;\n  color: $carousel-caption-color;\n  text-align: center;\n}\n\n// Dark mode carousel\n\n@mixin carousel-dark() {\n  .carousel-control-prev-icon,\n  .carousel-control-next-icon {\n    filter: $carousel-dark-control-icon-filter;\n  }\n\n  .carousel-indicators [data-bs-target] {\n    background-color: $carousel-dark-indicator-active-bg;\n  }\n\n  .carousel-caption {\n    color: $carousel-dark-caption-color;\n  }\n}\n\n.carousel-dark {\n  @include carousel-dark();\n}\n\n@if $enable-dark-mode {\n  @include color-mode(dark) {\n    @if $color-mode-type == \"media-query\" {\n      .carousel {\n        @include carousel-dark();\n      }\n    } @else {\n      .carousel,\n      &.carousel {\n        @include carousel-dark();\n      }\n    }\n  }\n}\n","// scss-docs-start clearfix\n@mixin clearfix() {\n  &::after {\n    display: block;\n    clear: both;\n    content: \"\";\n  }\n}\n// scss-docs-end clearfix\n","//\n// Rotating border\n//\n\n.spinner-grow,\n.spinner-border {\n  display: inline-block;\n  width: var(--#{$prefix}spinner-width);\n  height: var(--#{$prefix}spinner-height);\n  vertical-align: var(--#{$prefix}spinner-vertical-align);\n  // stylelint-disable-next-line property-disallowed-list\n  border-radius: 50%;\n  animation: var(--#{$prefix}spinner-animation-speed) linear infinite var(--#{$prefix}spinner-animation-name);\n}\n\n// scss-docs-start spinner-border-keyframes\n@keyframes spinner-border {\n  to { transform: rotate(360deg) #{\"/* rtl:ignore */\"}; }\n}\n// scss-docs-end spinner-border-keyframes\n\n.spinner-border {\n  // scss-docs-start spinner-border-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width};\n  --#{$prefix}spinner-height: #{$spinner-height};\n  --#{$prefix}spinner-vertical-align: #{$spinner-vertical-align};\n  --#{$prefix}spinner-border-width: #{$spinner-border-width};\n  --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed};\n  --#{$prefix}spinner-animation-name: spinner-border;\n  // scss-docs-end spinner-border-css-vars\n\n  border: var(--#{$prefix}spinner-border-width) solid currentcolor;\n  border-right-color: transparent;\n}\n\n.spinner-border-sm {\n  // scss-docs-start spinner-border-sm-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width-sm};\n  --#{$prefix}spinner-height: #{$spinner-height-sm};\n  --#{$prefix}spinner-border-width: #{$spinner-border-width-sm};\n  // scss-docs-end spinner-border-sm-css-vars\n}\n\n//\n// Growing circle\n//\n\n// scss-docs-start spinner-grow-keyframes\n@keyframes spinner-grow {\n  0% {\n    transform: scale(0);\n  }\n  50% {\n    opacity: 1;\n    transform: none;\n  }\n}\n// scss-docs-end spinner-grow-keyframes\n\n.spinner-grow {\n  // scss-docs-start spinner-grow-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width};\n  --#{$prefix}spinner-height: #{$spinner-height};\n  --#{$prefix}spinner-vertical-align: #{$spinner-vertical-align};\n  --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed};\n  --#{$prefix}spinner-animation-name: spinner-grow;\n  // scss-docs-end spinner-grow-css-vars\n\n  background-color: currentcolor;\n  opacity: 0;\n}\n\n.spinner-grow-sm {\n  --#{$prefix}spinner-width: #{$spinner-width-sm};\n  --#{$prefix}spinner-height: #{$spinner-height-sm};\n}\n\n@if $enable-reduced-motion {\n  @media (prefers-reduced-motion: reduce) {\n    .spinner-border,\n    .spinner-grow {\n      --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed * 2};\n    }\n  }\n}\n","// stylelint-disable function-disallowed-list\n\n%offcanvas-css-vars {\n  // scss-docs-start offcanvas-css-vars\n  --#{$prefix}offcanvas-zindex: #{$zindex-offcanvas};\n  --#{$prefix}offcanvas-width: #{$offcanvas-horizontal-width};\n  --#{$prefix}offcanvas-height: #{$offcanvas-vertical-height};\n  --#{$prefix}offcanvas-padding-x: #{$offcanvas-padding-x};\n  --#{$prefix}offcanvas-padding-y: #{$offcanvas-padding-y};\n  --#{$prefix}offcanvas-color: #{$offcanvas-color};\n  --#{$prefix}offcanvas-bg: #{$offcanvas-bg-color};\n  --#{$prefix}offcanvas-border-width: #{$offcanvas-border-width};\n  --#{$prefix}offcanvas-border-color: #{$offcanvas-border-color};\n  --#{$prefix}offcanvas-box-shadow: #{$offcanvas-box-shadow};\n  --#{$prefix}offcanvas-transition: #{transform $offcanvas-transition-duration ease-in-out};\n  --#{$prefix}offcanvas-title-line-height: #{$offcanvas-title-line-height};\n  // scss-docs-end offcanvas-css-vars\n}\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $next: breakpoint-next($breakpoint, $grid-breakpoints);\n  $infix: breakpoint-infix($next, $grid-breakpoints);\n\n  .offcanvas#{$infix} {\n    @extend %offcanvas-css-vars;\n  }\n}\n\n@each $breakpoint in map-keys($grid-breakpoints) {\n  $next: breakpoint-next($breakpoint, $grid-breakpoints);\n  $infix: breakpoint-infix($next, $grid-breakpoints);\n\n  .offcanvas#{$infix} {\n    @include media-breakpoint-down($next) {\n      position: fixed;\n      bottom: 0;\n      z-index: var(--#{$prefix}offcanvas-zindex);\n      display: flex;\n      flex-direction: column;\n      max-width: 100%;\n      color: var(--#{$prefix}offcanvas-color);\n      visibility: hidden;\n      background-color: var(--#{$prefix}offcanvas-bg);\n      background-clip: padding-box;\n      outline: 0;\n      @include box-shadow(var(--#{$prefix}offcanvas-box-shadow));\n      @include transition(var(--#{$prefix}offcanvas-transition));\n\n      &.offcanvas-start {\n        top: 0;\n        left: 0;\n        width: var(--#{$prefix}offcanvas-width);\n        border-right: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateX(-100%);\n      }\n\n      &.offcanvas-end {\n        top: 0;\n        right: 0;\n        width: var(--#{$prefix}offcanvas-width);\n        border-left: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateX(100%);\n      }\n\n      &.offcanvas-top {\n        top: 0;\n        right: 0;\n        left: 0;\n        height: var(--#{$prefix}offcanvas-height);\n        max-height: 100%;\n        border-bottom: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateY(-100%);\n      }\n\n      &.offcanvas-bottom {\n        right: 0;\n        left: 0;\n        height: var(--#{$prefix}offcanvas-height);\n        max-height: 100%;\n        border-top: var(--#{$prefix}offcanvas-border-width) solid var(--#{$prefix}offcanvas-border-color);\n        transform: translateY(100%);\n      }\n\n      &.showing,\n      &.show:not(.hiding) {\n        transform: none;\n      }\n\n      &.showing,\n      &.hiding,\n      &.show {\n        visibility: visible;\n      }\n    }\n\n    @if not ($infix == \"\") {\n      @include media-breakpoint-up($next) {\n        --#{$prefix}offcanvas-height: auto;\n        --#{$prefix}offcanvas-border-width: 0;\n        background-color: transparent !important; // stylelint-disable-line declaration-no-important\n\n        .offcanvas-header {\n          display: none;\n        }\n\n        .offcanvas-body {\n          display: flex;\n          flex-grow: 0;\n          padding: 0;\n          overflow-y: visible;\n          // Reset `background-color` in case `.bg-*` classes are used in offcanvas\n          background-color: transparent !important; // stylelint-disable-line declaration-no-important\n        }\n      }\n    }\n  }\n}\n\n.offcanvas-backdrop {\n  @include overlay-backdrop($zindex-offcanvas-backdrop, $offcanvas-backdrop-bg, $offcanvas-backdrop-opacity);\n}\n\n.offcanvas-header {\n  display: flex;\n  align-items: center;\n  justify-content: space-between;\n  padding: var(--#{$prefix}offcanvas-padding-y) var(--#{$prefix}offcanvas-padding-x);\n\n  .btn-close {\n    padding: calc(var(--#{$prefix}offcanvas-padding-y) * .5) calc(var(--#{$prefix}offcanvas-padding-x) * .5);\n    margin-top: calc(-.5 * var(--#{$prefix}offcanvas-padding-y));\n    margin-right: calc(-.5 * var(--#{$prefix}offcanvas-padding-x));\n    margin-bottom: calc(-.5 * var(--#{$prefix}offcanvas-padding-y));\n  }\n}\n\n.offcanvas-title {\n  margin-bottom: 0;\n  line-height: var(--#{$prefix}offcanvas-title-line-height);\n}\n\n.offcanvas-body {\n  flex-grow: 1;\n  padding: var(--#{$prefix}offcanvas-padding-y) var(--#{$prefix}offcanvas-padding-x);\n  overflow-y: auto;\n}\n",".placeholder {\n  display: inline-block;\n  min-height: 1em;\n  vertical-align: middle;\n  cursor: wait;\n  background-color: currentcolor;\n  opacity: $placeholder-opacity-max;\n\n  &.btn::before {\n    display: inline-block;\n    content: \"\";\n  }\n}\n\n// Sizing\n.placeholder-xs {\n  min-height: .6em;\n}\n\n.placeholder-sm {\n  min-height: .8em;\n}\n\n.placeholder-lg {\n  min-height: 1.2em;\n}\n\n// Animation\n.placeholder-glow {\n  .placeholder {\n    animation: placeholder-glow 2s ease-in-out infinite;\n  }\n}\n\n@keyframes placeholder-glow {\n  50% {\n    opacity: $placeholder-opacity-min;\n  }\n}\n\n.placeholder-wave {\n  mask-image: linear-gradient(130deg, $black 55%, rgba(0, 0, 0, (1 - $placeholder-opacity-min)) 75%, $black 95%);\n  mask-size: 200% 100%;\n  animation: placeholder-wave 2s linear infinite;\n}\n\n@keyframes placeholder-wave {\n  100% {\n    mask-position: -200% 0%;\n  }\n}\n","// All-caps `RGBA()` function used because of this Sass bug: https://github.com/sass/node-sass/issues/2251\n@each $color, $value in $theme-colors {\n  .text-bg-#{$color} {\n    color: color-contrast($value) if($enable-important-utilities, !important, null);\n    background-color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}bg-opacity, 1)) if($enable-important-utilities, !important, null);\n  }\n}\n","// All-caps `RGBA()` function used because of this Sass bug: https://github.com/sass/node-sass/issues/2251\n@each $color, $value in $theme-colors {\n  .link-#{$color} {\n    color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n    text-decoration-color: RGBA(var(--#{$prefix}#{$color}-rgb), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n\n    @if $link-shade-percentage != 0 {\n      &:hover,\n      &:focus {\n        $hover-color: if(color-contrast($value) == $color-contrast-light, shade-color($value, $link-shade-percentage), tint-color($value, $link-shade-percentage));\n        color: RGBA(#{to-rgb($hover-color)}, var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n        text-decoration-color: RGBA(to-rgb($hover-color), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n      }\n    }\n  }\n}\n\n// One-off special link helper as a bridge until v6\n.link-body-emphasis {\n  color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-opacity, 1)) if($enable-important-utilities, !important, null);\n  text-decoration-color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-underline-opacity, 1)) if($enable-important-utilities, !important, null);\n\n  @if $link-shade-percentage != 0 {\n    &:hover,\n    &:focus {\n      color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-opacity, .75)) if($enable-important-utilities, !important, null);\n      text-decoration-color: RGBA(var(--#{$prefix}emphasis-color-rgb), var(--#{$prefix}link-underline-opacity, .75)) if($enable-important-utilities, !important, null);\n    }\n  }\n}\n",".focus-ring:focus {\n  outline: 0;\n  // By default, there is no `--bs-focus-ring-x`, `--bs-focus-ring-y`, or `--bs-focus-ring-blur`, but we provide CSS variables with fallbacks to initial `0` values\n  box-shadow: var(--#{$prefix}focus-ring-x, 0) var(--#{$prefix}focus-ring-y, 0) var(--#{$prefix}focus-ring-blur, 0) var(--#{$prefix}focus-ring-width) var(--#{$prefix}focus-ring-color);\n}\n",".icon-link {\n  display: inline-flex;\n  gap: $icon-link-gap;\n  align-items: center;\n  text-decoration-color: rgba(var(--#{$prefix}link-color-rgb), var(--#{$prefix}link-opacity, .5));\n  text-underline-offset: $icon-link-underline-offset;\n  backface-visibility: hidden;\n\n  > .bi {\n    flex-shrink: 0;\n    width: $icon-link-icon-size;\n    height: $icon-link-icon-size;\n    fill: currentcolor;\n    @include transition($icon-link-icon-transition);\n  }\n}\n\n.icon-link-hover {\n  &:hover,\n  &:focus-visible {\n    > .bi {\n      transform: var(--#{$prefix}icon-link-transform, $icon-link-icon-transform);\n    }\n  }\n}\n","// Credit: Nicolas Gallagher and SUIT CSS.\n\n.ratio {\n  position: relative;\n  width: 100%;\n\n  &::before {\n    display: block;\n    padding-top: var(--#{$prefix}aspect-ratio);\n    content: \"\";\n  }\n\n  > * {\n    position: absolute;\n    top: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n  }\n}\n\n@each $key, $ratio in $aspect-ratios {\n  .ratio-#{$key} {\n    --#{$prefix}aspect-ratio: #{$ratio};\n  }\n}\n","// Shorthand\n\n.fixed-top {\n  position: fixed;\n  top: 0;\n  right: 0;\n  left: 0;\n  z-index: $zindex-fixed;\n}\n\n.fixed-bottom {\n  position: fixed;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: $zindex-fixed;\n}\n\n// Responsive sticky top and bottom\n@each $breakpoint in map-keys($grid-breakpoints) {\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    .sticky#{$infix}-top {\n      position: sticky;\n      top: 0;\n      z-index: $zindex-sticky;\n    }\n\n    .sticky#{$infix}-bottom {\n      position: sticky;\n      bottom: 0;\n      z-index: $zindex-sticky;\n    }\n  }\n}\n","// scss-docs-start stacks\n.hstack {\n  display: flex;\n  flex-direction: row;\n  align-items: center;\n  align-self: stretch;\n}\n\n.vstack {\n  display: flex;\n  flex: 1 1 auto;\n  flex-direction: column;\n  align-self: stretch;\n}\n// scss-docs-end stacks\n","//\n// Visually hidden\n//\n\n.visually-hidden,\n.visually-hidden-focusable:not(:focus):not(:focus-within) {\n  @include visually-hidden();\n}\n","// stylelint-disable declaration-no-important\n\n// Hide content visually while keeping it accessible to assistive technologies\n//\n// See: https://www.a11yproject.com/posts/2013-01-11-how-to-hide-content/\n// See: https://kittygiraudel.com/2016/10/13/css-hide-and-seek/\n\n@mixin visually-hidden() {\n  width: 1px !important;\n  height: 1px !important;\n  padding: 0 !important;\n  margin: -1px !important; // Fix for https://github.com/twbs/bootstrap/issues/25686\n  overflow: hidden !important;\n  clip: rect(0, 0, 0, 0) !important;\n  white-space: nowrap !important;\n  border: 0 !important;\n\n  // Fix for positioned table caption that could become anonymous cells\n  &:not(caption) {\n    position: absolute !important;\n  }\n}\n\n// Use to only display content when it's focused, or one of its child elements is focused\n// (i.e. when focus is within the element/container that the class was applied to)\n//\n// Useful for \"Skip to main content\" links; see https://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1\n\n@mixin visually-hidden-focusable() {\n  &:not(:focus):not(:focus-within) {\n    @include visually-hidden();\n  }\n}\n","//\n// Stretched link\n//\n\n.stretched-link {\n  &::#{$stretched-link-pseudo-element} {\n    position: absolute;\n    top: 0;\n    right: 0;\n    bottom: 0;\n    left: 0;\n    z-index: $stretched-link-z-index;\n    content: \"\";\n  }\n}\n","//\n// Text truncation\n//\n\n.text-truncate {\n  @include text-truncate();\n}\n","// Text truncate\n// Requires inline-block or block for proper styling\n\n@mixin text-truncate() {\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n",".vr {\n  display: inline-block;\n  align-self: stretch;\n  width: $vr-border-width;\n  min-height: 1em;\n  background-color: currentcolor;\n  opacity: $hr-opacity;\n}\n","// Utility generator\n// Used to generate utilities & print utilities\n@mixin generate-utility($utility, $infix: \"\", $is-rfs-media-query: false) {\n  $values: map-get($utility, values);\n\n  // If the values are a list or string, convert it into a map\n  @if type-of($values) == \"string\" or type-of(nth($values, 1)) != \"list\" {\n    $values: zip($values, $values);\n  }\n\n  @each $key, $value in $values {\n    $properties: map-get($utility, property);\n\n    // Multiple properties are possible, for example with vertical or horizontal margins or paddings\n    @if type-of($properties) == \"string\" {\n      $properties: append((), $properties);\n    }\n\n    // Use custom class if present\n    $property-class: if(map-has-key($utility, class), map-get($utility, class), nth($properties, 1));\n    $property-class: if($property-class == null, \"\", $property-class);\n\n    // Use custom CSS variable name if present, otherwise default to `class`\n    $css-variable-name: if(map-has-key($utility, css-variable-name), map-get($utility, css-variable-name), map-get($utility, class));\n\n    // State params to generate pseudo-classes\n    $state: if(map-has-key($utility, state), map-get($utility, state), ());\n\n    $infix: if($property-class == \"\" and str-slice($infix, 1, 1) == \"-\", str-slice($infix, 2), $infix);\n\n    // Don't prefix if value key is null (e.g. with shadow class)\n    $property-class-modifier: if($key, if($property-class == \"\" and $infix == \"\", \"\", \"-\") + $key, \"\");\n\n    @if map-get($utility, rfs) {\n      // Inside the media query\n      @if $is-rfs-media-query {\n        $val: rfs-value($value);\n\n        // Do not render anything if fluid and non fluid values are the same\n        $value: if($val == rfs-fluid-value($value), null, $val);\n      }\n      @else {\n        $value: rfs-fluid-value($value);\n      }\n    }\n\n    $is-css-var: map-get($utility, css-var);\n    $is-local-vars: map-get($utility, local-vars);\n    $is-rtl: map-get($utility, rtl);\n\n    @if $value != null {\n      @if $is-rtl == false {\n        /* rtl:begin:remove */\n      }\n\n      @if $is-css-var {\n        .#{$property-class + $infix + $property-class-modifier} {\n          --#{$prefix}#{$css-variable-name}: #{$value};\n        }\n\n        @each $pseudo in $state {\n          .#{$property-class + $infix + $property-class-modifier}-#{$pseudo}:#{$pseudo} {\n            --#{$prefix}#{$css-variable-name}: #{$value};\n          }\n        }\n      } @else {\n        .#{$property-class + $infix + $property-class-modifier} {\n          @each $property in $properties {\n            @if $is-local-vars {\n              @each $local-var, $variable in $is-local-vars {\n                --#{$prefix}#{$local-var}: #{$variable};\n              }\n            }\n            #{$property}: $value if($enable-important-utilities, !important, null);\n          }\n        }\n\n        @each $pseudo in $state {\n          .#{$property-class + $infix + $property-class-modifier}-#{$pseudo}:#{$pseudo} {\n            @each $property in $properties {\n              @if $is-local-vars {\n                @each $local-var, $variable in $is-local-vars {\n                  --#{$prefix}#{$local-var}: #{$variable};\n                }\n              }\n              #{$property}: $value if($enable-important-utilities, !important, null);\n            }\n          }\n        }\n      }\n\n      @if $is-rtl == false {\n        /* rtl:end:remove */\n      }\n    }\n  }\n}\n","// Loop over each breakpoint\n@each $breakpoint in map-keys($grid-breakpoints) {\n\n  // Generate media query if needed\n  @include media-breakpoint-up($breakpoint) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    // Loop over each utility property\n    @each $key, $utility in $utilities {\n      // The utility can be disabled with `false`, thus check if the utility is a map first\n      // Only proceed if responsive media queries are enabled or if it's the base media query\n      @if type-of($utility) == \"map\" and (map-get($utility, responsive) or $infix == \"\") {\n        @include generate-utility($utility, $infix);\n      }\n    }\n  }\n}\n\n// RFS rescaling\n@media (min-width: $rfs-mq-value) {\n  @each $breakpoint in map-keys($grid-breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);\n\n    @if (map-get($grid-breakpoints, $breakpoint) < $rfs-breakpoint) {\n      // Loop over each utility property\n      @each $key, $utility in $utilities {\n        // The utility can be disabled with `false`, thus check if the utility is a map first\n        // Only proceed if responsive media queries are enabled or if it's the base media query\n        @if type-of($utility) == \"map\" and map-get($utility, rfs) and (map-get($utility, responsive) or $infix == \"\") {\n          @include generate-utility($utility, $infix, true);\n        }\n      }\n    }\n  }\n}\n\n\n// Print utilities\n@media print {\n  @each $key, $utility in $utilities {\n    // The utility can be disabled with `false`, thus check if the utility is a map first\n    // Then check if the utility needs print styles\n    @if type-of($utility) == \"map\" and map-get($utility, print) == true {\n      @include generate-utility($utility, \"-print\");\n    }\n  }\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/styles/pydata-sphinx-theme.css b/_static/styles/pydata-sphinx-theme.css
index ca295d8a..b81ac474 100644
--- a/_static/styles/pydata-sphinx-theme.css
+++ b/_static/styles/pydata-sphinx-theme.css
@@ -1 +1,2 @@
-html{--pst-header-height:4rem;--pst-header-article-height:calc(var(--pst-header-height)*2/3);--pst-sidebar-secondary:17rem;--pst-font-size-base:1rem;--pst-font-size-h1:2.5rem;--pst-font-size-h2:2rem;--pst-font-size-h3:1.75rem;--pst-font-size-h4:1.5rem;--pst-font-size-h5:1.25rem;--pst-font-size-h6:1.1rem;--pst-font-size-milli:0.9rem;--pst-sidebar-font-size:0.9rem;--pst-sidebar-font-size-mobile:1.1rem;--pst-sidebar-header-font-size:1.2rem;--pst-sidebar-header-font-weight:600;--pst-admonition-font-weight-heading:600;--pst-font-weight-caption:300;--pst-font-weight-heading:400;--pst-font-family-base-system:-apple-system,BlinkMacSystemFont,Segoe UI,"Helvetica Neue",Arial,sans-serif,Apple Color Emoji,Segoe UI Emoji,Segoe UI Symbol;--pst-font-family-monospace-system:"SFMono-Regular",Menlo,Consolas,Monaco,Liberation Mono,Lucida 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0;padding:1rem}pre::-webkit-scrollbar{height:.5rem;width:.5rem}pre::-webkit-scrollbar-thumb{background:var(--pst-color-text-muted);border-radius:.25rem}pre::-webkit-scrollbar-track{background:transparent}pre::-webkit-scrollbar-thumb{background:var(--pst-color-on-surface)}pre::-webkit-scrollbar-thumb:hover,pre:hover::-webkit-scrollbar-thumb{background:var(--pst-color-text-muted)}pre .linenos{opacity:.5;padding-right:10px}.skip-link{background-color:var(--pst-color-background);border-bottom:1px solid var(--pst-color-border);color:var(--pst-color-link);left:0;padding:.5rem;position:fixed;right:0;text-align:center;top:0;transform:translateY(-100%);transition:transform .15s ease-in-out;z-index:1055}.skip-link:focus{transform:translateY(0)}.bd-container{display:flex;flex-grow:1;justify-content:center}.bd-container 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details.toggle-details summary{border-left:3px solid var(--pst-color-primary)}html div.rendered_html html .jp-RenderedHTMLCommon table{table-layout:auto}html[data-theme=dark] .bd-content .nboutput .output_area.rendered_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}html[data-theme=dark] .bd-content .nboutput .output_area.stderr{background:var(--pst-color-danger)}div.nblast.container{margin-bottom:1rem}div.cell_output .output{max-width:100%;overflow-x:auto}html[data-theme=dark] .bd-content div.cell_output img,html[data-theme=dark] .bd-content div.cell_output .text_html{color:var(--pst-color-on-background);background-color:var(--pst-color-text-base);border-radius:.25rem;padding:.5rem}.bd-content div.cell_input{display:flex;flex-direction:column;justify-content:stretch}.bd-content div.cell_input,.bd-content div.output{border-radius:.25rem}.bd-content div.output table{table-layout:auto}html[data-theme=dark] .bd-content img.leaflet-tile.leaflet-tile-loaded{border-radius:0;padding:0}.bd-search-container div#search-results>h2{font-size:var(--pst-font-size-icon);margin-top:0}.bd-search-container div#search-results p.search-summary{color:var(--pst-color-text-muted)}.bd-search-container ul.search{margin:0;list-style:none}.bd-search-container ul.search li{background-image:none;padding:1rem 0;margin:1rem 0;border-top:1px solid var(--pst-color-text-muted)}.bd-search-container ul.search li>a{font-size:1.2em}.bd-search-container ul.search li div.context,.bd-search-container ul.search li p.context{color:var(--pst-color-text-base);margin:.5em 0 0 0}.bd-search-container ul.search li div.context a:before,.bd-search-container ul.search li p.context a:before{content:\"#\";padding-right:.2em;color:var(--pst-color-text-muted)}","html {\n  /*****************************************************************************\n  * Overall Layout Variables\n  */\n\n  // Header height will impact the top offset for many sections\n  // Article header is 66% of Header\n  --pst-header-height: 4rem;\n  --pst-header-article-height: calc(var(--pst-header-height) * 2 / 3);\n  --pst-sidebar-secondary: 17rem;\n}\n\n/*******************************************************************************\n* Breakpoints that trigger UI changes\n*\n* Note that media-breakpoint-down begins at the next highest level!\n* So we should choose a media-breakpoint-down one *lower* than when we want to start\n* example: media-breakpoint-up(md) and media-breakpoint-down(sm) trigger at the same time\n* ref: https://github.com/twbs/bootstrap/issues/31214\n*/\n$breakpoint-sidebar-primary: lg; // When we collapse the primary sidebar\n$breakpoint-sidebar-secondary: xl; // When we collapse the secondary sidebar\n$breakpoint-page-width: 88rem; // taken from sphinx-basic-ng, which we are ultimately going to inherit\n\n/*******************************************************************************\n* Define the animation behaviour\n*/\n$animation-time: 200ms;\n\n/*******************************************************************************\n* UI shaping and padding\n*/\n$admonition-border-radius: 0.25rem;\n","html {\n  /*****************************************************************************\n  * Font features used in this theme\n  */\n\n  // base font size - applied at body/html level\n  --pst-font-size-base: 1rem;\n\n  // heading font sizes based on bootstrap sizing\n  --pst-font-size-h1: 2.5rem;\n  --pst-font-size-h2: 2rem;\n  --pst-font-size-h3: 1.75rem;\n  --pst-font-size-h4: 1.5rem;\n  --pst-font-size-h5: 1.25rem;\n  --pst-font-size-h6: 1.1rem;\n\n  // smaller than heading font sizes\n  --pst-font-size-milli: 0.9rem;\n\n  // Sidebar styles\n  --pst-sidebar-font-size: 0.9rem;\n  --pst-sidebar-font-size-mobile: 1.1rem;\n  --pst-sidebar-header-font-size: 1.2rem;\n  --pst-sidebar-header-font-weight: 600;\n\n  // Admonition styles\n  --pst-admonition-font-weight-heading: 600;\n\n  // Font weights\n  --pst-font-weight-caption: 300;\n  --pst-font-weight-heading: 400;\n\n  // Font family\n  // These are adapted from https://systemfontstack.com/ */\n  --pst-font-family-base-system: -apple-system, BlinkMacSystemFont, Segoe UI,\n    \"Helvetica Neue\", Arial, sans-serif, Apple Color Emoji, Segoe UI Emoji,\n    Segoe UI Symbol;\n  --pst-font-family-monospace-system: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n    Liberation Mono, Lucida Console, monospace;\n\n  --pst-font-family-base: var(--pst-font-family-base-system);\n  --pst-font-family-heading: var(--pst-font-family-base-system);\n  --pst-font-family-monospace: var(--pst-font-family-monospace-system);\n}\n","html {\n  /*****************************************************************************\n  * Icon\n  */\n\n  // Font size across all icons\n  --pst-font-size-icon: 1.5rem;\n\n  // Font Awesome default icons\n  --pst-icon-check-circle: \"\\f058\"; // fa-solid fa-circle-check\n  --pst-icon-info-circle: \"\\f05a\"; // fa-solid fa-circle-info\n  --pst-icon-exclamation-triangle: \"\\f071\"; // fa-solid fa-triangle-exclamation\n  --pst-icon-exclamation-circle: \"\\f06a\"; // fa-solid fa-circle-exclamation\n  --pst-icon-times-circle: \"\\f057\"; // fa-solid fa-circle-xmark\n  --pst-icon-lightbulb: \"\\f0eb\"; // fa-solid fa-lightbulb\n  --pst-icon-download: \"\\f019\"; // fa-solid fa-download\n  --pst-icon-angle-left: \"\\f104\"; // fa-solid fa-angle-left\n  --pst-icon-angle-right: \"\\f105\"; // fa-solid fa-angle-right\n  --pst-icon-external-link: \"\\f35d\"; // fa-solid fa-up-right-from-square\n  --pst-icon-search-minus: \"\\f010\"; // fa-solid fa-magnifying-glass-minus\n  --pst-icon-github: \"\\f09b\"; // fa-brands fa-github\n  --pst-icon-gitlab: \"\\f296\"; // fa-brands fa-gitlab\n  --pst-icon-share: \"\\f064\"; // fa-solid fa-share\n  --pst-icon-bell: \"\\f0f3\"; // fa-solid fa-bell\n  --pst-icon-pencil: \"\\f303\"; // fa-solid fa-pencil\n\n  // Bootstrap icons\n  --pst-breadcrumb-divider: \"\\f105\";\n}\n","html {\n  /*****************************************************************************\n  * Admonitions\n  **/\n\n  --pst-icon-admonition-default: var(--pst-icon-bell);\n  --pst-icon-admonition-note: var(--pst-icon-info-circle);\n  --pst-icon-admonition-attention: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-caution: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-warning: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-danger: var(--pst-icon-exclamation-triangle);\n  --pst-icon-admonition-error: var(--pst-icon-times-circle);\n  --pst-icon-admonition-hint: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-tip: var(--pst-icon-lightbulb);\n  --pst-icon-admonition-important: var(--pst-icon-exclamation-circle);\n  --pst-icon-admonition-seealso: var(--pst-icon-share);\n  --pst-icon-admonition-todo: var(--pst-icon-pencil);\n}\n","html {\n  /*****************************************************************************\n  * versionmodified\n  **/\n\n  --pst-icon-versionmodified-default: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-added: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-changed: var(--pst-icon-exclamation-circle);\n  --pst-icon-versionmodified-deprecated: var(--pst-icon-exclamation-circle);\n}\n","html {\n  font-size: var(--pst-font-size-base);\n  scroll-padding-top: calc(var(--pst-header-height) + 1rem);\n}\n\nbody {\n  background-color: var(--pst-color-background);\n  font-family: var(--pst-font-family-base);\n  font-weight: 400;\n  line-height: 1.65;\n  color: var(--pst-color-text-base);\n  min-height: 100vh;\n  display: flex;\n  flex-direction: column;\n\n  // hack to avoid the black background on some browser including Safari\n  &::-webkit-scrollbar-track {\n    background: var(--pst-color-background);\n  }\n}\n\np {\n  margin-bottom: 1.15rem;\n  font-size: 1em;\n  color: var(--pst-color-text-base);\n\n  /* section header in docstring pages */\n  &.rubric {\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n\n  &.centered {\n    text-align: center;\n  }\n}\n\na {\n  @include link-style-default;\n\n  // The # anchor that appears on hover over headings\n  &.headerlink {\n    color: var(--pst-color-secondary);\n    opacity: 0.7;\n    font-size: 0.8em;\n    padding: 0 4px 0 4px;\n    margin-left: 0.2em;\n    text-decoration: none;\n    transition: all 0.2s ease-out;\n    user-select: none;\n\n    &:hover {\n      opacity: 1;\n    }\n  }\n\n  // set up a icon next to the shorten links from github and gitlab\n  &.github,\n  &.gitlab {\n    &::before {\n      color: var(--pst-color-text-muted);\n      font: var(--fa-font-brands);\n      margin-right: 0.25rem;\n    }\n  }\n\n  &.github::before {\n    content: var(--pst-icon-github);\n  }\n\n  &.gitlab::before {\n    content: var(--pst-icon-gitlab);\n  }\n}\n\n.heading-style {\n  margin: 2.75rem 0 1.05rem;\n  font-family: var(--pst-font-family-heading);\n  font-weight: var(--pst-font-weight-heading);\n  line-height: 1.15;\n}\n\nh1 {\n  @extend .heading-style;\n  margin-top: 0;\n  font-size: var(--pst-font-size-h1);\n  color: var(--pst-heading-color);\n}\n\nh2 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h2);\n  color: var(--pst-heading-color);\n}\n\nh3 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h3);\n  color: var(--pst-heading-color);\n}\n\nh4 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h4);\n  color: var(--pst-heading-color);\n}\n\nh5 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h5);\n  color: var(--pst-color-text-base);\n}\n\nh6 {\n  @extend .heading-style;\n  font-size: var(--pst-font-size-h6);\n  color: var(--pst-color-text-base);\n}\n\nsmall,\n.text_small {\n  font-size: var(--pst-font-size-milli);\n}\n\nhr {\n  border: 0;\n  border-top: 1px solid var(--pst-color-border);\n}\n\npre,\ncode,\nkbd,\nsamp {\n  font-family: var(--pst-font-family-monospace);\n}\n\nkbd {\n  // use theme negative\n  background-color: var(--pst-color-on-background);\n  color: var(--pst-color-text-muted);\n\n  // Compound keyboard elements will have nested kbd in them, so this prevents double lines\n  &:not(.compound) {\n    border: 1px solid var(--pst-color-border);\n    margin: 0 0.1rem;\n    padding: 0.1rem 0.4rem;\n    box-shadow: 1px 1px 1px var(--pst-color-shadow);\n  }\n}\n\ncode {\n  color: var(--pst-color-inline-code);\n}\n\npre {\n  margin: 1.5em 0 1.5em 0;\n  padding: 1rem;\n  background-color: var(--pst-color-surface);\n  color: var(--pst-color-text-base);\n  line-height: 1.2em;\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  .linenos {\n    // minimum opacity to make the line numbers WCAG AA conformant\n    opacity: 0.8;\n    padding-right: 10px;\n  }\n}\n\n// the back to top btn\n#pst-back-to-top {\n  z-index: $zindex-tooltip;\n  position: fixed;\n  display: none;\n  top: 90vh;\n  left: 50vw;\n  transform: translate(-50%);\n  color: var(--pst-color-secondary-text);\n  background-color: var(--pst-color-secondary);\n  border: none;\n}\n","/**\n * Consistent styling for links\n **/\n\n// Define some useful variables for links styling consistency\n//\n//  Thickness of the underline for links\n// the default will be either:\n//  - 1px\n// - 0.0625rem if it's thicker than 1px because the user has changed the text\n//   size in their browser\n$link-underline-thickness: unquote(\"max(1px, .0625rem)\") !default;\n// Offset of link underlines from text baseline\n// The default is 3px expressed as ems, as calculated against the default body\n// font size (on desktop).\n$link-underline-offset: 0.1578em !default;\n// Thickness of link underlines in hover state\n// The default for each link will be the thickest of the following:\n//  - 3px\n//  - 0.1875rem, if it's thicker than 3px because the user has changed the text\n//    size in their browser\n//  - 0.12em (relative to the link's text size)\n$link-hover-decoration-thickness: unquote(\"max(3px, .1875rem, .12em)\") !default;\n\n//  Ensures links have an underline decoration by default - needed to meet\n// WCAG SC 1.4.1\n@mixin link-decoration {\n  text-decoration: underline;\n\n  @if $link-underline-thickness {\n    text-decoration-thickness: $link-underline-thickness;\n  }\n\n  @if $link-underline-offset {\n    text-underline-offset: $link-underline-offset;\n  }\n}\n\n// Ensures links have an underline decoration on hover - distinct from the\n// default behaviour\n@mixin link-decoration-hover {\n  @if $link-hover-decoration-thickness {\n    text-decoration-thickness: $link-hover-decoration-thickness;\n    // Disable ink skipping on underlines on hover. Browsers haven't\n    // standardised on this part of the spec yet, so set both properties\n    text-decoration-skip-ink: none; // Chromium, Firefox\n    text-decoration-skip: none; // Safari\n  }\n}\n\n// Simple hover style - can be used alone or in conjunction with other mixins\n// Add the text underline and change in thickness on hover\n@mixin link-style-hover {\n  &:hover {\n    @include link-decoration;\n    @include link-decoration-hover;\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Default link styles\n//\n// Defines: default unvisited, visited, hover, and active.\n// TODO: @trallard to improve focus styles in subsequent PR\n@mixin link-style-default {\n  // So that really long links don't spill out of their container\n  word-wrap: break-word;\n\n  color: var(--pst-color-link);\n  @include link-decoration;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to add active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link);\n  }\n\n  // Visited should still be hoverable\n  &:visited {\n    color: var(--pst-color-link);\n    &:hover {\n      color: var(--pst-color-link-hover);\n    }\n  }\n  @include focus-indicator;\n}\n\n// Text link styles\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation bar links.\n@mixin link-style-text {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @include link-decoration;\n    @include link-decoration-hover;\n  }\n  @include focus-indicator;\n}\n\n// Sidebar and TOC links\n//\n// Makes links use the muted text colour and removes the underline.\n// Use this mixin for navigation the primary sidebar and table of contents.\n// Active and hover should work together rather than one overriding the other.\n@mixin link-sidebar {\n  color: var(--pst-color-text-muted);\n  text-decoration: none;\n\n  &:hover {\n    text-decoration: underline;\n    background-color: transparent;\n    color: var(--pst-color-link-hover);\n    @include link-decoration-hover;\n  }\n\n  // TODO: @trallard to update active styles in subsequent PR\n  &:active {\n    color: var(--pst-color-link-hover);\n  }\n}\n\n// Sidebar current page link styles\n//\n// Adds a vertical line on the left hand side of the link to indicate that\n// it's the current page. Note this is distinct from an active state.\n// Used on the primary sidebar and the TOC.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-sidebar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    box-shadow: inset\n      $link-hover-decoration-thickness\n      0px\n      0px\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar current page link styles\n//\n// Adds a bottom underline, this leaves enough space for the hover state without\n// cluttering the navbar.\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin link-navbar-current {\n  font-weight: 600;\n  color: var(--pst-color-primary);\n  @if $link-hover-decoration-thickness {\n    border-bottom: $link-hover-decoration-thickness\n      solid\n      var(--pst-color-primary);\n  }\n}\n\n// Navigation bar icon links hover styles\n//\n// Adds a bottom box-shadow - since there is no text we cannot use text-decoration\n// We want the side box shadow to have the same thickness as the hover underline\n@mixin icon-navbar-hover {\n  &:hover {\n    color: var(--pst-color-link-hover);\n    @if $link-hover-decoration-thickness {\n      box-shadow: 0px\n        $link-hover-decoration-thickness\n        0px\n        var(--pst-color-link-hover);\n    }\n  }\n}\n\n// Focus indicator\n@mixin focus-indicator {\n  &:focus-visible {\n    outline: 2px solid var(--pst-color-accent);\n  }\n}\n","// Variables\n//\n// Variables should follow the `$component-state-property-size` formula for\n// consistent naming. Ex: $nav-link-disabled-color and $modal-content-box-shadow-xs.\n\n// Color system\n\n// scss-docs-start gray-color-variables\n$white:    #fff !default;\n$gray-100: #f8f9fa !default;\n$gray-200: #e9ecef !default;\n$gray-300: #dee2e6 !default;\n$gray-400: #ced4da !default;\n$gray-500: #adb5bd !default;\n$gray-600: #6c757d !default;\n$gray-700: #495057 !default;\n$gray-800: #343a40 !default;\n$gray-900: #212529 !default;\n$black:    #000 !default;\n// scss-docs-end gray-color-variables\n\n// fusv-disable\n// scss-docs-start gray-colors-map\n$grays: (\n  \"100\": $gray-100,\n  \"200\": $gray-200,\n  \"300\": $gray-300,\n  \"400\": $gray-400,\n  \"500\": $gray-500,\n  \"600\": $gray-600,\n  \"700\": $gray-700,\n  \"800\": $gray-800,\n  \"900\": $gray-900\n) !default;\n// scss-docs-end gray-colors-map\n// fusv-enable\n\n// scss-docs-start color-variables\n$blue:    #0d6efd !default;\n$indigo:  #6610f2 !default;\n$purple:  #6f42c1 !default;\n$pink:    #d63384 !default;\n$red:     #dc3545 !default;\n$orange:  #fd7e14 !default;\n$yellow:  #ffc107 !default;\n$green:   #198754 !default;\n$teal:    #20c997 !default;\n$cyan:    #0dcaf0 !default;\n// scss-docs-end color-variables\n\n// scss-docs-start colors-map\n$colors: (\n  \"blue\":       $blue,\n  \"indigo\":     $indigo,\n  \"purple\":     $purple,\n  \"pink\":       $pink,\n  \"red\":        $red,\n  \"orange\":     $orange,\n  \"yellow\":     $yellow,\n  \"green\":      $green,\n  \"teal\":       $teal,\n  \"cyan\":       $cyan,\n  \"black\":      $black,\n  \"white\":      $white,\n  \"gray\":       $gray-600,\n  \"gray-dark\":  $gray-800\n) !default;\n// scss-docs-end colors-map\n\n// The contrast ratio to reach against white, to determine if color changes from \"light\" to \"dark\". Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n$min-contrast-ratio:   4.5 !default;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$color-contrast-dark:      $black !default;\n$color-contrast-light:     $white !default;\n\n// fusv-disable\n$blue-100: tint-color($blue, 80%) !default;\n$blue-200: tint-color($blue, 60%) !default;\n$blue-300: tint-color($blue, 40%) !default;\n$blue-400: tint-color($blue, 20%) !default;\n$blue-500: $blue !default;\n$blue-600: shade-color($blue, 20%) !default;\n$blue-700: shade-color($blue, 40%) !default;\n$blue-800: shade-color($blue, 60%) !default;\n$blue-900: shade-color($blue, 80%) !default;\n\n$indigo-100: tint-color($indigo, 80%) !default;\n$indigo-200: tint-color($indigo, 60%) !default;\n$indigo-300: tint-color($indigo, 40%) !default;\n$indigo-400: tint-color($indigo, 20%) !default;\n$indigo-500: $indigo !default;\n$indigo-600: shade-color($indigo, 20%) !default;\n$indigo-700: shade-color($indigo, 40%) !default;\n$indigo-800: shade-color($indigo, 60%) !default;\n$indigo-900: shade-color($indigo, 80%) !default;\n\n$purple-100: tint-color($purple, 80%) !default;\n$purple-200: tint-color($purple, 60%) !default;\n$purple-300: tint-color($purple, 40%) !default;\n$purple-400: tint-color($purple, 20%) !default;\n$purple-500: $purple !default;\n$purple-600: shade-color($purple, 20%) !default;\n$purple-700: shade-color($purple, 40%) !default;\n$purple-800: shade-color($purple, 60%) !default;\n$purple-900: shade-color($purple, 80%) !default;\n\n$pink-100: tint-color($pink, 80%) !default;\n$pink-200: tint-color($pink, 60%) !default;\n$pink-300: tint-color($pink, 40%) !default;\n$pink-400: tint-color($pink, 20%) !default;\n$pink-500: $pink !default;\n$pink-600: shade-color($pink, 20%) !default;\n$pink-700: shade-color($pink, 40%) !default;\n$pink-800: shade-color($pink, 60%) !default;\n$pink-900: shade-color($pink, 80%) !default;\n\n$red-100: tint-color($red, 80%) !default;\n$red-200: tint-color($red, 60%) !default;\n$red-300: tint-color($red, 40%) !default;\n$red-400: tint-color($red, 20%) !default;\n$red-500: $red !default;\n$red-600: shade-color($red, 20%) !default;\n$red-700: shade-color($red, 40%) !default;\n$red-800: shade-color($red, 60%) !default;\n$red-900: shade-color($red, 80%) !default;\n\n$orange-100: tint-color($orange, 80%) !default;\n$orange-200: tint-color($orange, 60%) !default;\n$orange-300: tint-color($orange, 40%) !default;\n$orange-400: tint-color($orange, 20%) !default;\n$orange-500: $orange !default;\n$orange-600: shade-color($orange, 20%) !default;\n$orange-700: shade-color($orange, 40%) !default;\n$orange-800: shade-color($orange, 60%) !default;\n$orange-900: shade-color($orange, 80%) !default;\n\n$yellow-100: tint-color($yellow, 80%) !default;\n$yellow-200: tint-color($yellow, 60%) !default;\n$yellow-300: tint-color($yellow, 40%) !default;\n$yellow-400: tint-color($yellow, 20%) !default;\n$yellow-500: $yellow !default;\n$yellow-600: shade-color($yellow, 20%) !default;\n$yellow-700: shade-color($yellow, 40%) !default;\n$yellow-800: shade-color($yellow, 60%) !default;\n$yellow-900: shade-color($yellow, 80%) !default;\n\n$green-100: tint-color($green, 80%) !default;\n$green-200: tint-color($green, 60%) !default;\n$green-300: tint-color($green, 40%) !default;\n$green-400: tint-color($green, 20%) !default;\n$green-500: $green !default;\n$green-600: shade-color($green, 20%) !default;\n$green-700: shade-color($green, 40%) !default;\n$green-800: shade-color($green, 60%) !default;\n$green-900: shade-color($green, 80%) !default;\n\n$teal-100: tint-color($teal, 80%) !default;\n$teal-200: tint-color($teal, 60%) !default;\n$teal-300: tint-color($teal, 40%) !default;\n$teal-400: tint-color($teal, 20%) !default;\n$teal-500: $teal !default;\n$teal-600: shade-color($teal, 20%) !default;\n$teal-700: shade-color($teal, 40%) !default;\n$teal-800: shade-color($teal, 60%) !default;\n$teal-900: shade-color($teal, 80%) !default;\n\n$cyan-100: tint-color($cyan, 80%) !default;\n$cyan-200: tint-color($cyan, 60%) !default;\n$cyan-300: tint-color($cyan, 40%) !default;\n$cyan-400: tint-color($cyan, 20%) !default;\n$cyan-500: $cyan !default;\n$cyan-600: shade-color($cyan, 20%) !default;\n$cyan-700: shade-color($cyan, 40%) !default;\n$cyan-800: shade-color($cyan, 60%) !default;\n$cyan-900: shade-color($cyan, 80%) !default;\n\n$blues: (\n  \"blue-100\": $blue-100,\n  \"blue-200\": $blue-200,\n  \"blue-300\": $blue-300,\n  \"blue-400\": $blue-400,\n  \"blue-500\": $blue-500,\n  \"blue-600\": $blue-600,\n  \"blue-700\": $blue-700,\n  \"blue-800\": $blue-800,\n  \"blue-900\": $blue-900\n) !default;\n\n$indigos: (\n  \"indigo-100\": $indigo-100,\n  \"indigo-200\": $indigo-200,\n  \"indigo-300\": $indigo-300,\n  \"indigo-400\": $indigo-400,\n  \"indigo-500\": $indigo-500,\n  \"indigo-600\": $indigo-600,\n  \"indigo-700\": $indigo-700,\n  \"indigo-800\": $indigo-800,\n  \"indigo-900\": $indigo-900\n) !default;\n\n$purples: (\n  \"purple-100\": $purple-100,\n  \"purple-200\": $purple-200,\n  \"purple-300\": $purple-300,\n  \"purple-400\": $purple-400,\n  \"purple-500\": $purple-500,\n  \"purple-600\": $purple-600,\n  \"purple-700\": $purple-700,\n  \"purple-800\": $purple-800,\n  \"purple-900\": $purple-900\n) !default;\n\n$pinks: (\n  \"pink-100\": $pink-100,\n  \"pink-200\": $pink-200,\n  \"pink-300\": $pink-300,\n  \"pink-400\": $pink-400,\n  \"pink-500\": $pink-500,\n  \"pink-600\": $pink-600,\n  \"pink-700\": $pink-700,\n  \"pink-800\": $pink-800,\n  \"pink-900\": $pink-900\n) !default;\n\n$reds: (\n  \"red-100\": $red-100,\n  \"red-200\": $red-200,\n  \"red-300\": $red-300,\n  \"red-400\": $red-400,\n  \"red-500\": $red-500,\n  \"red-600\": $red-600,\n  \"red-700\": $red-700,\n  \"red-800\": $red-800,\n  \"red-900\": $red-900\n) !default;\n\n$oranges: (\n  \"orange-100\": $orange-100,\n  \"orange-200\": $orange-200,\n  \"orange-300\": $orange-300,\n  \"orange-400\": $orange-400,\n  \"orange-500\": $orange-500,\n  \"orange-600\": $orange-600,\n  \"orange-700\": $orange-700,\n  \"orange-800\": $orange-800,\n  \"orange-900\": $orange-900\n) !default;\n\n$yellows: (\n  \"yellow-100\": $yellow-100,\n  \"yellow-200\": $yellow-200,\n  \"yellow-300\": $yellow-300,\n  \"yellow-400\": $yellow-400,\n  \"yellow-500\": $yellow-500,\n  \"yellow-600\": $yellow-600,\n  \"yellow-700\": $yellow-700,\n  \"yellow-800\": $yellow-800,\n  \"yellow-900\": $yellow-900\n) !default;\n\n$greens: (\n  \"green-100\": $green-100,\n  \"green-200\": $green-200,\n  \"green-300\": $green-300,\n  \"green-400\": $green-400,\n  \"green-500\": $green-500,\n  \"green-600\": $green-600,\n  \"green-700\": $green-700,\n  \"green-800\": $green-800,\n  \"green-900\": $green-900\n) !default;\n\n$teals: (\n  \"teal-100\": $teal-100,\n  \"teal-200\": $teal-200,\n  \"teal-300\": $teal-300,\n  \"teal-400\": $teal-400,\n  \"teal-500\": $teal-500,\n  \"teal-600\": $teal-600,\n  \"teal-700\": $teal-700,\n  \"teal-800\": $teal-800,\n  \"teal-900\": $teal-900\n) !default;\n\n$cyans: (\n  \"cyan-100\": $cyan-100,\n  \"cyan-200\": $cyan-200,\n  \"cyan-300\": $cyan-300,\n  \"cyan-400\": $cyan-400,\n  \"cyan-500\": $cyan-500,\n  \"cyan-600\": $cyan-600,\n  \"cyan-700\": $cyan-700,\n  \"cyan-800\": $cyan-800,\n  \"cyan-900\": $cyan-900\n) !default;\n// fusv-enable\n\n// scss-docs-start theme-color-variables\n$primary:       $blue !default;\n$secondary:     $gray-600 !default;\n$success:       $green !default;\n$info:          $cyan !default;\n$warning:       $yellow !default;\n$danger:        $red !default;\n$light:         $gray-100 !default;\n$dark:          $gray-900 !default;\n// scss-docs-end theme-color-variables\n\n// scss-docs-start theme-colors-map\n$theme-colors: (\n  \"primary\":    $primary,\n  \"secondary\":  $secondary,\n  \"success\":    $success,\n  \"info\":       $info,\n  \"warning\":    $warning,\n  \"danger\":     $danger,\n  \"light\":      $light,\n  \"dark\":       $dark\n) !default;\n// scss-docs-end theme-colors-map\n\n// scss-docs-start theme-text-variables\n$primary-text-emphasis:   shade-color($primary, 60%) !default;\n$secondary-text-emphasis: shade-color($secondary, 60%) !default;\n$success-text-emphasis:   shade-color($success, 60%) !default;\n$info-text-emphasis:      shade-color($info, 60%) !default;\n$warning-text-emphasis:   shade-color($warning, 60%) !default;\n$danger-text-emphasis:    shade-color($danger, 60%) !default;\n$light-text-emphasis:     $gray-700 !default;\n$dark-text-emphasis:      $gray-700 !default;\n// scss-docs-end theme-text-variables\n\n// scss-docs-start theme-bg-subtle-variables\n$primary-bg-subtle:       tint-color($primary, 80%) !default;\n$secondary-bg-subtle:     tint-color($secondary, 80%) !default;\n$success-bg-subtle:       tint-color($success, 80%) !default;\n$info-bg-subtle:          tint-color($info, 80%) !default;\n$warning-bg-subtle:       tint-color($warning, 80%) !default;\n$danger-bg-subtle:        tint-color($danger, 80%) !default;\n$light-bg-subtle:         mix($gray-100, $white) !default;\n$dark-bg-subtle:          $gray-400 !default;\n// scss-docs-end theme-bg-subtle-variables\n\n// scss-docs-start theme-border-subtle-variables\n$primary-border-subtle:   tint-color($primary, 60%) !default;\n$secondary-border-subtle: tint-color($secondary, 60%) !default;\n$success-border-subtle:   tint-color($success, 60%) !default;\n$info-border-subtle:      tint-color($info, 60%) !default;\n$warning-border-subtle:   tint-color($warning, 60%) !default;\n$danger-border-subtle:    tint-color($danger, 60%) !default;\n$light-border-subtle:     $gray-200 !default;\n$dark-border-subtle:      $gray-500 !default;\n// scss-docs-end theme-border-subtle-variables\n\n// Characters which are escaped by the escape-svg function\n$escaped-characters: (\n  (\"<\", \"%3c\"),\n  (\">\", \"%3e\"),\n  (\"#\", \"%23\"),\n  (\"(\", \"%28\"),\n  (\")\", \"%29\"),\n) !default;\n\n// Options\n//\n// Quickly modify global styling by enabling or disabling optional features.\n\n$enable-caret:                true !default;\n$enable-rounded:              true !default;\n$enable-shadows:              false !default;\n$enable-gradients:            false !default;\n$enable-transitions:          true !default;\n$enable-reduced-motion:       true !default;\n$enable-smooth-scroll:        true !default;\n$enable-grid-classes:         true !default;\n$enable-container-classes:    true !default;\n$enable-cssgrid:              false !default;\n$enable-button-pointers:      true !default;\n$enable-rfs:                  true !default;\n$enable-validation-icons:     true !default;\n$enable-negative-margins:     false !default;\n$enable-deprecation-messages: true !default;\n$enable-important-utilities:  true !default;\n\n$enable-dark-mode:            true !default;\n$color-mode-type:             data !default; // `data` or `media-query`\n\n// Prefix for :root CSS variables\n\n$variable-prefix:             bs- !default; // Deprecated in v5.2.0 for the shorter `$prefix`\n$prefix:                      $variable-prefix !default;\n\n// Gradient\n//\n// The gradient which is added to components if `$enable-gradients` is `true`\n// This gradient is also added to elements with `.bg-gradient`\n// scss-docs-start variable-gradient\n$gradient: linear-gradient(180deg, rgba($white, .15), rgba($white, 0)) !default;\n// scss-docs-end variable-gradient\n\n// Spacing\n//\n// Control the default styling of most Bootstrap elements by modifying these\n// variables. Mostly focused on spacing.\n// You can add more entries to the $spacers map, should you need more variation.\n\n// scss-docs-start spacer-variables-maps\n$spacer: 1rem !default;\n$spacers: (\n  0: 0,\n  1: $spacer * .25,\n  2: $spacer * .5,\n  3: $spacer,\n  4: $spacer * 1.5,\n  5: $spacer * 3,\n) !default;\n// scss-docs-end spacer-variables-maps\n\n// Position\n//\n// Define the edge positioning anchors of the position utilities.\n\n// scss-docs-start position-map\n$position-values: (\n  0: 0,\n  50: 50%,\n  100: 100%\n) !default;\n// scss-docs-end position-map\n\n// Body\n//\n// Settings for the `<body>` element.\n\n$body-text-align:           null !default;\n$body-color:                $gray-900 !default;\n$body-bg:                   $white !default;\n\n$body-secondary-color:      rgba($body-color, .75) !default;\n$body-secondary-bg:         $gray-200 !default;\n\n$body-tertiary-color:       rgba($body-color, .5) !default;\n$body-tertiary-bg:          $gray-100 !default;\n\n$body-emphasis-color:       $black !default;\n\n// Links\n//\n// Style anchor elements.\n\n$link-color:                              $primary !default;\n$link-decoration:                         underline !default;\n$link-shade-percentage:                   20% !default;\n$link-hover-color:                        shift-color($link-color, $link-shade-percentage) !default;\n$link-hover-decoration:                   null !default;\n\n$stretched-link-pseudo-element:           after !default;\n$stretched-link-z-index:                  1 !default;\n\n// Icon links\n// scss-docs-start icon-link-variables\n$icon-link-gap:               .375rem !default;\n$icon-link-underline-offset:  .25em !default;\n$icon-link-icon-size:         1em !default;\n$icon-link-icon-transition:   .2s ease-in-out transform !default;\n$icon-link-icon-transform:    translate3d(.25em, 0, 0) !default;\n// scss-docs-end icon-link-variables\n\n// Paragraphs\n//\n// Style p element.\n\n$paragraph-margin-bottom:   1rem !default;\n\n\n// Grid breakpoints\n//\n// Define the minimum dimensions at which your layout will change,\n// adapting to different screen sizes, for use in media queries.\n\n// scss-docs-start grid-breakpoints\n$grid-breakpoints: (\n  xs: 0,\n  sm: 576px,\n  md: 768px,\n  lg: 992px,\n  xl: 1200px,\n  xxl: 1400px\n) !default;\n// scss-docs-end grid-breakpoints\n\n@include _assert-ascending($grid-breakpoints, \"$grid-breakpoints\");\n@include _assert-starts-at-zero($grid-breakpoints, \"$grid-breakpoints\");\n\n\n// Grid containers\n//\n// Define the maximum width of `.container` for different screen sizes.\n\n// scss-docs-start container-max-widths\n$container-max-widths: (\n  sm: 540px,\n  md: 720px,\n  lg: 960px,\n  xl: 1140px,\n  xxl: 1320px\n) !default;\n// scss-docs-end container-max-widths\n\n@include _assert-ascending($container-max-widths, \"$container-max-widths\");\n\n\n// Grid columns\n//\n// Set the number of columns and specify the width of the gutters.\n\n$grid-columns:                12 !default;\n$grid-gutter-width:           1.5rem !default;\n$grid-row-columns:            6 !default;\n\n// Container padding\n\n$container-padding-x: $grid-gutter-width !default;\n\n\n// Components\n//\n// Define common padding and border radius sizes and more.\n\n// scss-docs-start border-variables\n$border-width:                1px !default;\n$border-widths: (\n  1: 1px,\n  2: 2px,\n  3: 3px,\n  4: 4px,\n  5: 5px\n) !default;\n$border-style:                solid !default;\n$border-color:                $gray-300 !default;\n$border-color-translucent:    rgba($black, .175) !default;\n// scss-docs-end border-variables\n\n// scss-docs-start border-radius-variables\n$border-radius:               .375rem !default;\n$border-radius-sm:            .25rem !default;\n$border-radius-lg:            .5rem !default;\n$border-radius-xl:            1rem !default;\n$border-radius-xxl:           2rem !default;\n$border-radius-pill:          50rem !default;\n// scss-docs-end border-radius-variables\n// fusv-disable\n$border-radius-2xl:           $border-radius-xxl !default; // Deprecated in v5.3.0\n// fusv-enable\n\n// scss-docs-start box-shadow-variables\n$box-shadow:                  0 .5rem 1rem rgba($black, .15) !default;\n$box-shadow-sm:               0 .125rem .25rem rgba($black, .075) !default;\n$box-shadow-lg:               0 1rem 3rem rgba($black, .175) !default;\n$box-shadow-inset:            inset 0 1px 2px rgba($black, .075) !default;\n// scss-docs-end box-shadow-variables\n\n$component-active-color:      $white !default;\n$component-active-bg:         $primary !default;\n\n// scss-docs-start focus-ring-variables\n$focus-ring-width:      .25rem !default;\n$focus-ring-opacity:    .25 !default;\n$focus-ring-color:      rgba($primary, $focus-ring-opacity) !default;\n$focus-ring-blur:       0 !default;\n$focus-ring-box-shadow: 0 0 $focus-ring-blur $focus-ring-width $focus-ring-color !default;\n// scss-docs-end focus-ring-variables\n\n// scss-docs-start caret-variables\n$caret-width:                 .3em !default;\n$caret-vertical-align:        $caret-width * .85 !default;\n$caret-spacing:               $caret-width * .85 !default;\n// scss-docs-end caret-variables\n\n$transition-base:             all .2s ease-in-out !default;\n$transition-fade:             opacity .15s linear !default;\n// scss-docs-start collapse-transition\n$transition-collapse:         height .35s ease !default;\n$transition-collapse-width:   width .35s ease !default;\n// scss-docs-end collapse-transition\n\n// stylelint-disable function-disallowed-list\n// scss-docs-start aspect-ratios\n$aspect-ratios: (\n  \"1x1\": 100%,\n  \"4x3\": calc(3 / 4 * 100%),\n  \"16x9\": calc(9 / 16 * 100%),\n  \"21x9\": calc(9 / 21 * 100%)\n) !default;\n// scss-docs-end aspect-ratios\n// stylelint-enable function-disallowed-list\n\n// Typography\n//\n// Font, line-height, and color for body text, headings, and more.\n\n// scss-docs-start font-variables\n// stylelint-disable value-keyword-case\n$font-family-sans-serif:      system-ui, -apple-system, \"Segoe UI\", Roboto, \"Helvetica Neue\", \"Noto Sans\", \"Liberation Sans\", Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\", \"Noto Color Emoji\" !default;\n$font-family-monospace:       SFMono-Regular, Menlo, Monaco, Consolas, \"Liberation Mono\", \"Courier New\", monospace !default;\n// stylelint-enable value-keyword-case\n$font-family-base:            var(--#{$prefix}font-sans-serif) !default;\n$font-family-code:            var(--#{$prefix}font-monospace) !default;\n\n// $font-size-root affects the value of `rem`, which is used for as well font sizes, paddings, and margins\n// $font-size-base affects the font size of the body text\n$font-size-root:              null !default;\n$font-size-base:              1rem !default; // Assumes the browser default, typically `16px`\n$font-size-sm:                $font-size-base * .875 !default;\n$font-size-lg:                $font-size-base * 1.25 !default;\n\n$font-weight-lighter:         lighter !default;\n$font-weight-light:           300 !default;\n$font-weight-normal:          400 !default;\n$font-weight-medium:          500 !default;\n$font-weight-semibold:        600 !default;\n$font-weight-bold:            700 !default;\n$font-weight-bolder:          bolder !default;\n\n$font-weight-base:            $font-weight-normal !default;\n\n$line-height-base:            1.5 !default;\n$line-height-sm:              1.25 !default;\n$line-height-lg:              2 !default;\n\n$h1-font-size:                $font-size-base * 2.5 !default;\n$h2-font-size:                $font-size-base * 2 !default;\n$h3-font-size:                $font-size-base * 1.75 !default;\n$h4-font-size:                $font-size-base * 1.5 !default;\n$h5-font-size:                $font-size-base * 1.25 !default;\n$h6-font-size:                $font-size-base !default;\n// scss-docs-end font-variables\n\n// scss-docs-start font-sizes\n$font-sizes: (\n  1: $h1-font-size,\n  2: $h2-font-size,\n  3: $h3-font-size,\n  4: $h4-font-size,\n  5: $h5-font-size,\n  6: $h6-font-size\n) !default;\n// scss-docs-end font-sizes\n\n// scss-docs-start headings-variables\n$headings-margin-bottom:      $spacer * .5 !default;\n$headings-font-family:        null !default;\n$headings-font-style:         null !default;\n$headings-font-weight:        500 !default;\n$headings-line-height:        1.2 !default;\n$headings-color:              inherit !default;\n// scss-docs-end headings-variables\n\n// scss-docs-start display-headings\n$display-font-sizes: (\n  1: 5rem,\n  2: 4.5rem,\n  3: 4rem,\n  4: 3.5rem,\n  5: 3rem,\n  6: 2.5rem\n) !default;\n\n$display-font-family: null !default;\n$display-font-style:  null !default;\n$display-font-weight: 300 !default;\n$display-line-height: $headings-line-height !default;\n// scss-docs-end display-headings\n\n// scss-docs-start type-variables\n$lead-font-size:              $font-size-base * 1.25 !default;\n$lead-font-weight:            300 !default;\n\n$small-font-size:             .875em !default;\n\n$sub-sup-font-size:           .75em !default;\n\n// fusv-disable\n$text-muted:                  var(--#{$prefix}secondary-color) !default; // Deprecated in 5.3.0\n// fusv-enable\n\n$initialism-font-size:        $small-font-size !default;\n\n$blockquote-margin-y:         $spacer !default;\n$blockquote-font-size:        $font-size-base * 1.25 !default;\n$blockquote-footer-color:     $gray-600 !default;\n$blockquote-footer-font-size: $small-font-size !default;\n\n$hr-margin-y:                 $spacer !default;\n$hr-color:                    inherit !default;\n\n// fusv-disable\n$hr-bg-color:                 null !default; // Deprecated in v5.2.0\n$hr-height:                   null !default; // Deprecated in v5.2.0\n// fusv-enable\n\n$hr-border-color:             null !default; // Allows for inherited colors\n$hr-border-width:             var(--#{$prefix}border-width) !default;\n$hr-opacity:                  .25 !default;\n\n// scss-docs-start vr-variables\n$vr-border-width:             var(--#{$prefix}border-width) !default;\n// scss-docs-end vr-variables\n\n$legend-margin-bottom:        .5rem !default;\n$legend-font-size:            1.5rem !default;\n$legend-font-weight:          null !default;\n\n$dt-font-weight:              $font-weight-bold !default;\n\n$list-inline-padding:         .5rem !default;\n\n$mark-padding:                .1875em !default;\n$mark-color:                  $body-color !default;\n$mark-bg:                     $yellow-100 !default;\n// scss-docs-end type-variables\n\n\n// Tables\n//\n// Customizes the `.table` component with basic values, each used across all table variations.\n\n// scss-docs-start table-variables\n$table-cell-padding-y:        .5rem !default;\n$table-cell-padding-x:        .5rem !default;\n$table-cell-padding-y-sm:     .25rem !default;\n$table-cell-padding-x-sm:     .25rem !default;\n\n$table-cell-vertical-align:   top !default;\n\n$table-color:                 var(--#{$prefix}emphasis-color) !default;\n$table-bg:                    var(--#{$prefix}body-bg) !default;\n$table-accent-bg:             transparent !default;\n\n$table-th-font-weight:        null !default;\n\n$table-striped-color:         $table-color !default;\n$table-striped-bg-factor:     .05 !default;\n$table-striped-bg:            rgba(var(--#{$prefix}emphasis-color-rgb), $table-striped-bg-factor) !default;\n\n$table-active-color:          $table-color !default;\n$table-active-bg-factor:      .1 !default;\n$table-active-bg:             rgba(var(--#{$prefix}emphasis-color-rgb), $table-active-bg-factor) !default;\n\n$table-hover-color:           $table-color !default;\n$table-hover-bg-factor:       .075 !default;\n$table-hover-bg:              rgba(var(--#{$prefix}emphasis-color-rgb), $table-hover-bg-factor) !default;\n\n$table-border-factor:         .2 !default;\n$table-border-width:          var(--#{$prefix}border-width) !default;\n$table-border-color:          var(--#{$prefix}border-color) !default;\n\n$table-striped-order:         odd !default;\n$table-striped-columns-order: even !default;\n\n$table-group-separator-color: currentcolor !default;\n\n$table-caption-color:         var(--#{$prefix}secondary-color) !default;\n\n$table-bg-scale:              -80% !default;\n// scss-docs-end table-variables\n\n// scss-docs-start table-loop\n$table-variants: (\n  \"primary\":    shift-color($primary, $table-bg-scale),\n  \"secondary\":  shift-color($secondary, $table-bg-scale),\n  \"success\":    shift-color($success, $table-bg-scale),\n  \"info\":       shift-color($info, $table-bg-scale),\n  \"warning\":    shift-color($warning, $table-bg-scale),\n  \"danger\":     shift-color($danger, $table-bg-scale),\n  \"light\":      $light,\n  \"dark\":       $dark,\n) !default;\n// scss-docs-end table-loop\n\n\n// Buttons + Forms\n//\n// Shared variables that are reassigned to `$input-` and `$btn-` specific variables.\n\n// scss-docs-start input-btn-variables\n$input-btn-padding-y:         .375rem !default;\n$input-btn-padding-x:         .75rem !default;\n$input-btn-font-family:       null !default;\n$input-btn-font-size:         $font-size-base !default;\n$input-btn-line-height:       $line-height-base !default;\n\n$input-btn-focus-width:         $focus-ring-width !default;\n$input-btn-focus-color-opacity: $focus-ring-opacity !default;\n$input-btn-focus-color:         $focus-ring-color !default;\n$input-btn-focus-blur:          $focus-ring-blur !default;\n$input-btn-focus-box-shadow:    $focus-ring-box-shadow !default;\n\n$input-btn-padding-y-sm:      .25rem !default;\n$input-btn-padding-x-sm:      .5rem !default;\n$input-btn-font-size-sm:      $font-size-sm !default;\n\n$input-btn-padding-y-lg:      .5rem !default;\n$input-btn-padding-x-lg:      1rem !default;\n$input-btn-font-size-lg:      $font-size-lg !default;\n\n$input-btn-border-width:      var(--#{$prefix}border-width) !default;\n// scss-docs-end input-btn-variables\n\n\n// Buttons\n//\n// For each of Bootstrap's buttons, define text, background, and border color.\n\n// scss-docs-start btn-variables\n$btn-color:                   var(--#{$prefix}body-color) !default;\n$btn-padding-y:               $input-btn-padding-y !default;\n$btn-padding-x:               $input-btn-padding-x !default;\n$btn-font-family:             $input-btn-font-family !default;\n$btn-font-size:               $input-btn-font-size !default;\n$btn-line-height:             $input-btn-line-height !default;\n$btn-white-space:             null !default; // Set to `nowrap` to prevent text wrapping\n\n$btn-padding-y-sm:            $input-btn-padding-y-sm !default;\n$btn-padding-x-sm:            $input-btn-padding-x-sm !default;\n$btn-font-size-sm:            $input-btn-font-size-sm !default;\n\n$btn-padding-y-lg:            $input-btn-padding-y-lg !default;\n$btn-padding-x-lg:            $input-btn-padding-x-lg !default;\n$btn-font-size-lg:            $input-btn-font-size-lg !default;\n\n$btn-border-width:            $input-btn-border-width !default;\n\n$btn-font-weight:             $font-weight-normal !default;\n$btn-box-shadow:              inset 0 1px 0 rgba($white, .15), 0 1px 1px rgba($black, .075) !default;\n$btn-focus-width:             $input-btn-focus-width !default;\n$btn-focus-box-shadow:        $input-btn-focus-box-shadow !default;\n$btn-disabled-opacity:        .65 !default;\n$btn-active-box-shadow:       inset 0 3px 5px rgba($black, .125) !default;\n\n$btn-link-color:              var(--#{$prefix}link-color) !default;\n$btn-link-hover-color:        var(--#{$prefix}link-hover-color) !default;\n$btn-link-disabled-color:     $gray-600 !default;\n$btn-link-focus-shadow-rgb:   to-rgb(mix(color-contrast($link-color), $link-color, 15%)) !default;\n\n// Allows for customizing button radius independently from global border radius\n$btn-border-radius:           var(--#{$prefix}border-radius) !default;\n$btn-border-radius-sm:        var(--#{$prefix}border-radius-sm) !default;\n$btn-border-radius-lg:        var(--#{$prefix}border-radius-lg) !default;\n\n$btn-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$btn-hover-bg-shade-amount:       15% !default;\n$btn-hover-bg-tint-amount:        15% !default;\n$btn-hover-border-shade-amount:   20% !default;\n$btn-hover-border-tint-amount:    10% !default;\n$btn-active-bg-shade-amount:      20% !default;\n$btn-active-bg-tint-amount:       20% !default;\n$btn-active-border-shade-amount:  25% !default;\n$btn-active-border-tint-amount:   10% !default;\n// scss-docs-end btn-variables\n\n\n// Forms\n\n// scss-docs-start form-text-variables\n$form-text-margin-top:                  .25rem !default;\n$form-text-font-size:                   $small-font-size !default;\n$form-text-font-style:                  null !default;\n$form-text-font-weight:                 null !default;\n$form-text-color:                       var(--#{$prefix}secondary-color) !default;\n// scss-docs-end form-text-variables\n\n// scss-docs-start form-label-variables\n$form-label-margin-bottom:              .5rem !default;\n$form-label-font-size:                  null !default;\n$form-label-font-style:                 null !default;\n$form-label-font-weight:                null !default;\n$form-label-color:                      null !default;\n// scss-docs-end form-label-variables\n\n// scss-docs-start form-input-variables\n$input-padding-y:                       $input-btn-padding-y !default;\n$input-padding-x:                       $input-btn-padding-x !default;\n$input-font-family:                     $input-btn-font-family !default;\n$input-font-size:                       $input-btn-font-size !default;\n$input-font-weight:                     $font-weight-base !default;\n$input-line-height:                     $input-btn-line-height !default;\n\n$input-padding-y-sm:                    $input-btn-padding-y-sm !default;\n$input-padding-x-sm:                    $input-btn-padding-x-sm !default;\n$input-font-size-sm:                    $input-btn-font-size-sm !default;\n\n$input-padding-y-lg:                    $input-btn-padding-y-lg !default;\n$input-padding-x-lg:                    $input-btn-padding-x-lg !default;\n$input-font-size-lg:                    $input-btn-font-size-lg !default;\n\n$input-bg:                              var(--#{$prefix}body-bg) !default;\n$input-disabled-color:                  null !default;\n$input-disabled-bg:                     var(--#{$prefix}secondary-bg) !default;\n$input-disabled-border-color:           null !default;\n\n$input-color:                           var(--#{$prefix}body-color) !default;\n$input-border-color:                    var(--#{$prefix}border-color) !default;\n$input-border-width:                    $input-btn-border-width !default;\n$input-box-shadow:                      var(--#{$prefix}box-shadow-inset) !default;\n\n$input-border-radius:                   var(--#{$prefix}border-radius) !default;\n$input-border-radius-sm:                var(--#{$prefix}border-radius-sm) !default;\n$input-border-radius-lg:                var(--#{$prefix}border-radius-lg) !default;\n\n$input-focus-bg:                        $input-bg !default;\n$input-focus-border-color:              tint-color($component-active-bg, 50%) !default;\n$input-focus-color:                     $input-color !default;\n$input-focus-width:                     $input-btn-focus-width !default;\n$input-focus-box-shadow:                $input-btn-focus-box-shadow !default;\n\n$input-placeholder-color:               var(--#{$prefix}secondary-color) !default;\n$input-plaintext-color:                 var(--#{$prefix}body-color) !default;\n\n$input-height-border:                   calc(#{$input-border-width} * 2) !default; // stylelint-disable-line function-disallowed-list\n\n$input-height-inner:                    add($input-line-height * 1em, $input-padding-y * 2) !default;\n$input-height-inner-half:               add($input-line-height * .5em, $input-padding-y) !default;\n$input-height-inner-quarter:            add($input-line-height * .25em, $input-padding-y * .5) !default;\n\n$input-height:                          add($input-line-height * 1em, add($input-padding-y * 2, $input-height-border, false)) !default;\n$input-height-sm:                       add($input-line-height * 1em, add($input-padding-y-sm * 2, $input-height-border, false)) !default;\n$input-height-lg:                       add($input-line-height * 1em, add($input-padding-y-lg * 2, $input-height-border, false)) !default;\n\n$input-transition:                      border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$form-color-width:                      3rem !default;\n// scss-docs-end form-input-variables\n\n// scss-docs-start form-check-variables\n$form-check-input-width:                  1em !default;\n$form-check-min-height:                   $font-size-base * $line-height-base !default;\n$form-check-padding-start:                $form-check-input-width + .5em !default;\n$form-check-margin-bottom:                .125rem !default;\n$form-check-label-color:                  null !default;\n$form-check-label-cursor:                 null !default;\n$form-check-transition:                   null !default;\n\n$form-check-input-active-filter:          brightness(90%) !default;\n\n$form-check-input-bg:                     $input-bg !default;\n$form-check-input-border:                 var(--#{$prefix}border-width) solid var(--#{$prefix}border-color) !default;\n$form-check-input-border-radius:          .25em !default;\n$form-check-radio-border-radius:          50% !default;\n$form-check-input-focus-border:           $input-focus-border-color !default;\n$form-check-input-focus-box-shadow:       $focus-ring-box-shadow !default;\n\n$form-check-input-checked-color:          $component-active-color !default;\n$form-check-input-checked-bg-color:       $component-active-bg !default;\n$form-check-input-checked-border-color:   $form-check-input-checked-bg-color !default;\n$form-check-input-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-checked-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='m6 10 3 3 6-6'/></svg>\") !default;\n$form-check-radio-checked-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='2' fill='#{$form-check-input-checked-color}'/></svg>\") !default;\n\n$form-check-input-indeterminate-color:          $component-active-color !default;\n$form-check-input-indeterminate-bg-color:       $component-active-bg !default;\n$form-check-input-indeterminate-border-color:   $form-check-input-indeterminate-bg-color !default;\n$form-check-input-indeterminate-bg-image:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 20 20'><path fill='none' stroke='#{$form-check-input-indeterminate-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='3' d='M6 10h8'/></svg>\") !default;\n\n$form-check-input-disabled-opacity:        .5 !default;\n$form-check-label-disabled-opacity:        $form-check-input-disabled-opacity !default;\n$form-check-btn-check-disabled-opacity:    $btn-disabled-opacity !default;\n\n$form-check-inline-margin-end:    1rem !default;\n// scss-docs-end form-check-variables\n\n// scss-docs-start form-switch-variables\n$form-switch-color:               rgba($black, .25) !default;\n$form-switch-width:               2em !default;\n$form-switch-padding-start:       $form-switch-width + .5em !default;\n$form-switch-bg-image:            url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-color}'/></svg>\") !default;\n$form-switch-border-radius:       $form-switch-width !default;\n$form-switch-transition:          background-position .15s ease-in-out !default;\n\n$form-switch-focus-color:         $input-focus-border-color !default;\n$form-switch-focus-bg-image:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-focus-color}'/></svg>\") !default;\n\n$form-switch-checked-color:       $component-active-color !default;\n$form-switch-checked-bg-image:    url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='-4 -4 8 8'><circle r='3' fill='#{$form-switch-checked-color}'/></svg>\") !default;\n$form-switch-checked-bg-position: right center !default;\n// scss-docs-end form-switch-variables\n\n// scss-docs-start input-group-variables\n$input-group-addon-padding-y:           $input-padding-y !default;\n$input-group-addon-padding-x:           $input-padding-x !default;\n$input-group-addon-font-weight:         $input-font-weight !default;\n$input-group-addon-color:               $input-color !default;\n$input-group-addon-bg:                  var(--#{$prefix}tertiary-bg) !default;\n$input-group-addon-border-color:        $input-border-color !default;\n// scss-docs-end input-group-variables\n\n// scss-docs-start form-select-variables\n$form-select-padding-y:             $input-padding-y !default;\n$form-select-padding-x:             $input-padding-x !default;\n$form-select-font-family:           $input-font-family !default;\n$form-select-font-size:             $input-font-size !default;\n$form-select-indicator-padding:     $form-select-padding-x * 3 !default; // Extra padding for background-image\n$form-select-font-weight:           $input-font-weight !default;\n$form-select-line-height:           $input-line-height !default;\n$form-select-color:                 $input-color !default;\n$form-select-bg:                    $input-bg !default;\n$form-select-disabled-color:        null !default;\n$form-select-disabled-bg:           $input-disabled-bg !default;\n$form-select-disabled-border-color: $input-disabled-border-color !default;\n$form-select-bg-position:           right $form-select-padding-x center !default;\n$form-select-bg-size:               16px 12px !default; // In pixels because image dimensions\n$form-select-indicator-color:       $gray-800 !default;\n$form-select-indicator:             url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'><path fill='none' stroke='#{$form-select-indicator-color}' stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='m2 5 6 6 6-6'/></svg>\") !default;\n\n$form-select-feedback-icon-padding-end: $form-select-padding-x * 2.5 + $form-select-indicator-padding !default;\n$form-select-feedback-icon-position:    center right $form-select-indicator-padding !default;\n$form-select-feedback-icon-size:        $input-height-inner-half $input-height-inner-half !default;\n\n$form-select-border-width:        $input-border-width !default;\n$form-select-border-color:        $input-border-color !default;\n$form-select-border-radius:       $input-border-radius !default;\n$form-select-box-shadow:          var(--#{$prefix}box-shadow-inset) !default;\n\n$form-select-focus-border-color:  $input-focus-border-color !default;\n$form-select-focus-width:         $input-focus-width !default;\n$form-select-focus-box-shadow:    0 0 0 $form-select-focus-width $input-btn-focus-color !default;\n\n$form-select-padding-y-sm:        $input-padding-y-sm !default;\n$form-select-padding-x-sm:        $input-padding-x-sm !default;\n$form-select-font-size-sm:        $input-font-size-sm !default;\n$form-select-border-radius-sm:    $input-border-radius-sm !default;\n\n$form-select-padding-y-lg:        $input-padding-y-lg !default;\n$form-select-padding-x-lg:        $input-padding-x-lg !default;\n$form-select-font-size-lg:        $input-font-size-lg !default;\n$form-select-border-radius-lg:    $input-border-radius-lg !default;\n\n$form-select-transition:          $input-transition !default;\n// scss-docs-end form-select-variables\n\n// scss-docs-start form-range-variables\n$form-range-track-width:          100% !default;\n$form-range-track-height:         .5rem !default;\n$form-range-track-cursor:         pointer !default;\n$form-range-track-bg:             var(--#{$prefix}secondary-bg) !default;\n$form-range-track-border-radius:  1rem !default;\n$form-range-track-box-shadow:     var(--#{$prefix}box-shadow-inset) !default;\n\n$form-range-thumb-width:                   1rem !default;\n$form-range-thumb-height:                  $form-range-thumb-width !default;\n$form-range-thumb-bg:                      $component-active-bg !default;\n$form-range-thumb-border:                  0 !default;\n$form-range-thumb-border-radius:           1rem !default;\n$form-range-thumb-box-shadow:              0 .1rem .25rem rgba($black, .1) !default;\n$form-range-thumb-focus-box-shadow:        0 0 0 1px $body-bg, $input-focus-box-shadow !default;\n$form-range-thumb-focus-box-shadow-width:  $input-focus-width !default; // For focus box shadow issue in Edge\n$form-range-thumb-active-bg:               tint-color($component-active-bg, 70%) !default;\n$form-range-thumb-disabled-bg:             var(--#{$prefix}secondary-color) !default;\n$form-range-thumb-transition:              background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n// scss-docs-end form-range-variables\n\n// scss-docs-start form-file-variables\n$form-file-button-color:          $input-color !default;\n$form-file-button-bg:             var(--#{$prefix}tertiary-bg) !default;\n$form-file-button-hover-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end form-file-variables\n\n// scss-docs-start form-floating-variables\n$form-floating-height:                  add(3.5rem, $input-height-border) !default;\n$form-floating-line-height:             1.25 !default;\n$form-floating-padding-x:               $input-padding-x !default;\n$form-floating-padding-y:               1rem !default;\n$form-floating-input-padding-t:         1.625rem !default;\n$form-floating-input-padding-b:         .625rem !default;\n$form-floating-label-height:            1.5em !default;\n$form-floating-label-opacity:           .65 !default;\n$form-floating-label-transform:         scale(.85) translateY(-.5rem) translateX(.15rem) !default;\n$form-floating-label-disabled-color:    $gray-600 !default;\n$form-floating-transition:              opacity .1s ease-in-out, transform .1s ease-in-out !default;\n// scss-docs-end form-floating-variables\n\n// Form validation\n\n// scss-docs-start form-feedback-variables\n$form-feedback-margin-top:          $form-text-margin-top !default;\n$form-feedback-font-size:           $form-text-font-size !default;\n$form-feedback-font-style:          $form-text-font-style !default;\n$form-feedback-valid-color:         $success !default;\n$form-feedback-invalid-color:       $danger !default;\n\n$form-feedback-icon-valid-color:    $form-feedback-valid-color !default;\n$form-feedback-icon-valid:          url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 8 8'><path fill='#{$form-feedback-icon-valid-color}' d='M2.3 6.73.6 4.53c-.4-1.04.46-1.4 1.1-.8l1.1 1.4 3.4-3.8c.6-.63 1.6-.27 1.2.7l-4 4.6c-.43.5-.8.4-1.1.1z'/></svg>\") !default;\n$form-feedback-icon-invalid-color:  $form-feedback-invalid-color !default;\n$form-feedback-icon-invalid:        url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 12 12' width='12' height='12' fill='none' stroke='#{$form-feedback-icon-invalid-color}'><circle cx='6' cy='6' r='4.5'/><path stroke-linejoin='round' d='M5.8 3.6h.4L6 6.5z'/><circle cx='6' cy='8.2' r='.6' fill='#{$form-feedback-icon-invalid-color}' stroke='none'/></svg>\") !default;\n// scss-docs-end form-feedback-variables\n\n// scss-docs-start form-validation-colors\n$form-valid-color:                  $form-feedback-valid-color !default;\n$form-valid-border-color:           $form-feedback-valid-color !default;\n$form-invalid-color:                $form-feedback-invalid-color !default;\n$form-invalid-border-color:         $form-feedback-invalid-color !default;\n// scss-docs-end form-validation-colors\n\n// scss-docs-start form-validation-states\n$form-validation-states: (\n  \"valid\": (\n    \"color\": var(--#{$prefix}form-valid-color),\n    \"icon\": $form-feedback-icon-valid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}success),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}success-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-valid-border-color),\n  ),\n  \"invalid\": (\n    \"color\": var(--#{$prefix}form-invalid-color),\n    \"icon\": $form-feedback-icon-invalid,\n    \"tooltip-color\": #fff,\n    \"tooltip-bg-color\": var(--#{$prefix}danger),\n    \"focus-box-shadow\": 0 0 $input-btn-focus-blur $input-focus-width rgba(var(--#{$prefix}danger-rgb), $input-btn-focus-color-opacity),\n    \"border-color\": var(--#{$prefix}form-invalid-border-color),\n  )\n) !default;\n// scss-docs-end form-validation-states\n\n// Z-index master list\n//\n// Warning: Avoid customizing these values. They're used for a bird's eye view\n// of components dependent on the z-axis and are designed to all work together.\n\n// scss-docs-start zindex-stack\n$zindex-dropdown:                   1000 !default;\n$zindex-sticky:                     1020 !default;\n$zindex-fixed:                      1030 !default;\n$zindex-offcanvas-backdrop:         1040 !default;\n$zindex-offcanvas:                  1045 !default;\n$zindex-modal-backdrop:             1050 !default;\n$zindex-modal:                      1055 !default;\n$zindex-popover:                    1070 !default;\n$zindex-tooltip:                    1080 !default;\n$zindex-toast:                      1090 !default;\n// scss-docs-end zindex-stack\n\n// scss-docs-start zindex-levels-map\n$zindex-levels: (\n  n1: -1,\n  0: 0,\n  1: 1,\n  2: 2,\n  3: 3\n) !default;\n// scss-docs-end zindex-levels-map\n\n\n// Navs\n\n// scss-docs-start nav-variables\n$nav-link-padding-y:                .5rem !default;\n$nav-link-padding-x:                1rem !default;\n$nav-link-font-size:                null !default;\n$nav-link-font-weight:              null !default;\n$nav-link-color:                    var(--#{$prefix}link-color) !default;\n$nav-link-hover-color:              var(--#{$prefix}link-hover-color) !default;\n$nav-link-transition:               color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out !default;\n$nav-link-disabled-color:           var(--#{$prefix}secondary-color) !default;\n$nav-link-focus-box-shadow:         $focus-ring-box-shadow !default;\n\n$nav-tabs-border-color:             var(--#{$prefix}border-color) !default;\n$nav-tabs-border-width:             var(--#{$prefix}border-width) !default;\n$nav-tabs-border-radius:            var(--#{$prefix}border-radius) !default;\n$nav-tabs-link-hover-border-color:  var(--#{$prefix}secondary-bg) var(--#{$prefix}secondary-bg) $nav-tabs-border-color !default;\n$nav-tabs-link-active-color:        var(--#{$prefix}emphasis-color) !default;\n$nav-tabs-link-active-bg:           var(--#{$prefix}body-bg) !default;\n$nav-tabs-link-active-border-color: var(--#{$prefix}border-color) var(--#{$prefix}border-color) $nav-tabs-link-active-bg !default;\n\n$nav-pills-border-radius:           var(--#{$prefix}border-radius) !default;\n$nav-pills-link-active-color:       $component-active-color !default;\n$nav-pills-link-active-bg:          $component-active-bg !default;\n\n$nav-underline-gap:                 1rem !default;\n$nav-underline-border-width:        .125rem !default;\n$nav-underline-link-active-color:   var(--#{$prefix}emphasis-color) !default;\n// scss-docs-end nav-variables\n\n\n// Navbar\n\n// scss-docs-start navbar-variables\n$navbar-padding-y:                  $spacer * .5 !default;\n$navbar-padding-x:                  null !default;\n\n$navbar-nav-link-padding-x:         .5rem !default;\n\n$navbar-brand-font-size:            $font-size-lg !default;\n// Compute the navbar-brand padding-y so the navbar-brand will have the same height as navbar-text and nav-link\n$nav-link-height:                   $font-size-base * $line-height-base + $nav-link-padding-y * 2 !default;\n$navbar-brand-height:               $navbar-brand-font-size * $line-height-base !default;\n$navbar-brand-padding-y:            ($nav-link-height - $navbar-brand-height) * .5 !default;\n$navbar-brand-margin-end:           1rem !default;\n\n$navbar-toggler-padding-y:          .25rem !default;\n$navbar-toggler-padding-x:          .75rem !default;\n$navbar-toggler-font-size:          $font-size-lg !default;\n$navbar-toggler-border-radius:      $btn-border-radius !default;\n$navbar-toggler-focus-width:        $btn-focus-width !default;\n$navbar-toggler-transition:         box-shadow .15s ease-in-out !default;\n\n$navbar-light-color:                rgba(var(--#{$prefix}emphasis-color-rgb), .65) !default;\n$navbar-light-hover-color:          rgba(var(--#{$prefix}emphasis-color-rgb), .8) !default;\n$navbar-light-active-color:         rgba(var(--#{$prefix}emphasis-color-rgb), 1) !default;\n$navbar-light-disabled-color:       rgba(var(--#{$prefix}emphasis-color-rgb), .3) !default;\n$navbar-light-icon-color:           rgba($body-color, .75) !default;\n$navbar-light-toggler-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-light-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-light-toggler-border-color: rgba(var(--#{$prefix}emphasis-color-rgb), .15) !default;\n$navbar-light-brand-color:          $navbar-light-active-color !default;\n$navbar-light-brand-hover-color:    $navbar-light-active-color !default;\n// scss-docs-end navbar-variables\n\n// scss-docs-start navbar-dark-variables\n$navbar-dark-color:                 rgba($white, .55) !default;\n$navbar-dark-hover-color:           rgba($white, .75) !default;\n$navbar-dark-active-color:          $white !default;\n$navbar-dark-disabled-color:        rgba($white, .25) !default;\n$navbar-dark-icon-color:            $navbar-dark-color !default;\n$navbar-dark-toggler-icon-bg:       url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'><path stroke='#{$navbar-dark-icon-color}' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/></svg>\") !default;\n$navbar-dark-toggler-border-color:  rgba($white, .1) !default;\n$navbar-dark-brand-color:           $navbar-dark-active-color !default;\n$navbar-dark-brand-hover-color:     $navbar-dark-active-color !default;\n// scss-docs-end navbar-dark-variables\n\n\n// Dropdowns\n//\n// Dropdown menu container and contents.\n\n// scss-docs-start dropdown-variables\n$dropdown-min-width:                10rem !default;\n$dropdown-padding-x:                0 !default;\n$dropdown-padding-y:                .5rem !default;\n$dropdown-spacer:                   .125rem !default;\n$dropdown-font-size:                $font-size-base !default;\n$dropdown-color:                    var(--#{$prefix}body-color) !default;\n$dropdown-bg:                       var(--#{$prefix}body-bg) !default;\n$dropdown-border-color:             var(--#{$prefix}border-color-translucent) !default;\n$dropdown-border-radius:            var(--#{$prefix}border-radius) !default;\n$dropdown-border-width:             var(--#{$prefix}border-width) !default;\n$dropdown-inner-border-radius:      calc(#{$dropdown-border-radius} - #{$dropdown-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$dropdown-divider-bg:               $dropdown-border-color !default;\n$dropdown-divider-margin-y:         $spacer * .5 !default;\n$dropdown-box-shadow:               var(--#{$prefix}box-shadow) !default;\n\n$dropdown-link-color:               var(--#{$prefix}body-color) !default;\n$dropdown-link-hover-color:         $dropdown-link-color !default;\n$dropdown-link-hover-bg:            var(--#{$prefix}tertiary-bg) !default;\n\n$dropdown-link-active-color:        $component-active-color !default;\n$dropdown-link-active-bg:           $component-active-bg !default;\n\n$dropdown-link-disabled-color:      var(--#{$prefix}tertiary-color) !default;\n\n$dropdown-item-padding-y:           $spacer * .25 !default;\n$dropdown-item-padding-x:           $spacer !default;\n\n$dropdown-header-color:             $gray-600 !default;\n$dropdown-header-padding-x:         $dropdown-item-padding-x !default;\n$dropdown-header-padding-y:         $dropdown-padding-y !default;\n// fusv-disable\n$dropdown-header-padding:           $dropdown-header-padding-y $dropdown-header-padding-x !default; // Deprecated in v5.2.0\n// fusv-enable\n// scss-docs-end dropdown-variables\n\n// scss-docs-start dropdown-dark-variables\n$dropdown-dark-color:               $gray-300 !default;\n$dropdown-dark-bg:                  $gray-800 !default;\n$dropdown-dark-border-color:        $dropdown-border-color !default;\n$dropdown-dark-divider-bg:          $dropdown-divider-bg !default;\n$dropdown-dark-box-shadow:          null !default;\n$dropdown-dark-link-color:          $dropdown-dark-color !default;\n$dropdown-dark-link-hover-color:    $white !default;\n$dropdown-dark-link-hover-bg:       rgba($white, .15) !default;\n$dropdown-dark-link-active-color:   $dropdown-link-active-color !default;\n$dropdown-dark-link-active-bg:      $dropdown-link-active-bg !default;\n$dropdown-dark-link-disabled-color: $gray-500 !default;\n$dropdown-dark-header-color:        $gray-500 !default;\n// scss-docs-end dropdown-dark-variables\n\n\n// Pagination\n\n// scss-docs-start pagination-variables\n$pagination-padding-y:              .375rem !default;\n$pagination-padding-x:              .75rem !default;\n$pagination-padding-y-sm:           .25rem !default;\n$pagination-padding-x-sm:           .5rem !default;\n$pagination-padding-y-lg:           .75rem !default;\n$pagination-padding-x-lg:           1.5rem !default;\n\n$pagination-font-size:              $font-size-base !default;\n\n$pagination-color:                  var(--#{$prefix}link-color) !default;\n$pagination-bg:                     var(--#{$prefix}body-bg) !default;\n$pagination-border-radius:          var(--#{$prefix}border-radius) !default;\n$pagination-border-width:           var(--#{$prefix}border-width) !default;\n$pagination-margin-start:           calc(#{$pagination-border-width} * -1) !default; // stylelint-disable-line function-disallowed-list\n$pagination-border-color:           var(--#{$prefix}border-color) !default;\n\n$pagination-focus-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-focus-bg:               var(--#{$prefix}secondary-bg) !default;\n$pagination-focus-box-shadow:       $focus-ring-box-shadow !default;\n$pagination-focus-outline:          0 !default;\n\n$pagination-hover-color:            var(--#{$prefix}link-hover-color) !default;\n$pagination-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$pagination-hover-border-color:     var(--#{$prefix}border-color) !default; // Todo in v6: remove this?\n\n$pagination-active-color:           $component-active-color !default;\n$pagination-active-bg:              $component-active-bg !default;\n$pagination-active-border-color:    $component-active-bg !default;\n\n$pagination-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$pagination-disabled-bg:            var(--#{$prefix}secondary-bg) !default;\n$pagination-disabled-border-color:  var(--#{$prefix}border-color) !default;\n\n$pagination-transition:              color .15s ease-in-out, background-color .15s ease-in-out, border-color .15s ease-in-out, box-shadow .15s ease-in-out !default;\n\n$pagination-border-radius-sm:       var(--#{$prefix}border-radius-sm) !default;\n$pagination-border-radius-lg:       var(--#{$prefix}border-radius-lg) !default;\n// scss-docs-end pagination-variables\n\n\n// Placeholders\n\n// scss-docs-start placeholders\n$placeholder-opacity-max:           .5 !default;\n$placeholder-opacity-min:           .2 !default;\n// scss-docs-end placeholders\n\n// Cards\n\n// scss-docs-start card-variables\n$card-spacer-y:                     $spacer !default;\n$card-spacer-x:                     $spacer !default;\n$card-title-spacer-y:               $spacer * .5 !default;\n$card-title-color:                  null !default;\n$card-subtitle-color:               null !default;\n$card-border-width:                 var(--#{$prefix}border-width) !default;\n$card-border-color:                 var(--#{$prefix}border-color-translucent) !default;\n$card-border-radius:                var(--#{$prefix}border-radius) !default;\n$card-box-shadow:                   null !default;\n$card-inner-border-radius:          subtract($card-border-radius, $card-border-width) !default;\n$card-cap-padding-y:                $card-spacer-y * .5 !default;\n$card-cap-padding-x:                $card-spacer-x !default;\n$card-cap-bg:                       rgba(var(--#{$prefix}body-color-rgb), .03) !default;\n$card-cap-color:                    null !default;\n$card-height:                       null !default;\n$card-color:                        null !default;\n$card-bg:                           var(--#{$prefix}body-bg) !default;\n$card-img-overlay-padding:          $spacer !default;\n$card-group-margin:                 $grid-gutter-width * .5 !default;\n// scss-docs-end card-variables\n\n// Accordion\n\n// scss-docs-start accordion-variables\n$accordion-padding-y:                     1rem !default;\n$accordion-padding-x:                     1.25rem !default;\n$accordion-color:                         var(--#{$prefix}body-color) !default;\n$accordion-bg:                            var(--#{$prefix}body-bg) !default;\n$accordion-border-width:                  var(--#{$prefix}border-width) !default;\n$accordion-border-color:                  var(--#{$prefix}border-color) !default;\n$accordion-border-radius:                 var(--#{$prefix}border-radius) !default;\n$accordion-inner-border-radius:           subtract($accordion-border-radius, $accordion-border-width) !default;\n\n$accordion-body-padding-y:                $accordion-padding-y !default;\n$accordion-body-padding-x:                $accordion-padding-x !default;\n\n$accordion-button-padding-y:              $accordion-padding-y !default;\n$accordion-button-padding-x:              $accordion-padding-x !default;\n$accordion-button-color:                  var(--#{$prefix}body-color) !default;\n$accordion-button-bg:                     var(--#{$prefix}accordion-bg) !default;\n$accordion-transition:                    $btn-transition, border-radius .15s ease !default;\n$accordion-button-active-bg:              var(--#{$prefix}primary-bg-subtle) !default;\n$accordion-button-active-color:           var(--#{$prefix}primary-text-emphasis) !default;\n\n$accordion-button-focus-border-color:     $input-focus-border-color !default;\n$accordion-button-focus-box-shadow:       $btn-focus-box-shadow !default;\n\n$accordion-icon-width:                    1.25rem !default;\n$accordion-icon-color:                    $body-color !default;\n$accordion-icon-active-color:             $primary-text-emphasis !default;\n$accordion-icon-transition:               transform .2s ease-in-out !default;\n$accordion-icon-transform:                rotate(-180deg) !default;\n\n$accordion-button-icon:         url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n$accordion-button-active-icon:  url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$accordion-icon-active-color}'><path fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n// scss-docs-end accordion-variables\n\n// Tooltips\n\n// scss-docs-start tooltip-variables\n$tooltip-font-size:                 $font-size-sm !default;\n$tooltip-max-width:                 200px !default;\n$tooltip-color:                     var(--#{$prefix}body-bg) !default;\n$tooltip-bg:                        var(--#{$prefix}emphasis-color) !default;\n$tooltip-border-radius:             var(--#{$prefix}border-radius) !default;\n$tooltip-opacity:                   .9 !default;\n$tooltip-padding-y:                 $spacer * .25 !default;\n$tooltip-padding-x:                 $spacer * .5 !default;\n$tooltip-margin:                    null !default; // TODO: remove this in v6\n\n$tooltip-arrow-width:               .8rem !default;\n$tooltip-arrow-height:              .4rem !default;\n// fusv-disable\n$tooltip-arrow-color:               null !default; // Deprecated in Bootstrap 5.2.0 for CSS variables\n// fusv-enable\n// scss-docs-end tooltip-variables\n\n// Form tooltips must come after regular tooltips\n// scss-docs-start tooltip-feedback-variables\n$form-feedback-tooltip-padding-y:     $tooltip-padding-y !default;\n$form-feedback-tooltip-padding-x:     $tooltip-padding-x !default;\n$form-feedback-tooltip-font-size:     $tooltip-font-size !default;\n$form-feedback-tooltip-line-height:   null !default;\n$form-feedback-tooltip-opacity:       $tooltip-opacity !default;\n$form-feedback-tooltip-border-radius: $tooltip-border-radius !default;\n// scss-docs-end tooltip-feedback-variables\n\n\n// Popovers\n\n// scss-docs-start popover-variables\n$popover-font-size:                 $font-size-sm !default;\n$popover-bg:                        var(--#{$prefix}body-bg) !default;\n$popover-max-width:                 276px !default;\n$popover-border-width:              var(--#{$prefix}border-width) !default;\n$popover-border-color:              var(--#{$prefix}border-color-translucent) !default;\n$popover-border-radius:             var(--#{$prefix}border-radius-lg) !default;\n$popover-inner-border-radius:       calc(#{$popover-border-radius} - #{$popover-border-width}) !default; // stylelint-disable-line function-disallowed-list\n$popover-box-shadow:                var(--#{$prefix}box-shadow) !default;\n\n$popover-header-font-size:          $font-size-base !default;\n$popover-header-bg:                 var(--#{$prefix}secondary-bg) !default;\n$popover-header-color:              $headings-color !default;\n$popover-header-padding-y:          .5rem !default;\n$popover-header-padding-x:          $spacer !default;\n\n$popover-body-color:                var(--#{$prefix}body-color) !default;\n$popover-body-padding-y:            $spacer !default;\n$popover-body-padding-x:            $spacer !default;\n\n$popover-arrow-width:               1rem !default;\n$popover-arrow-height:              .5rem !default;\n// scss-docs-end popover-variables\n\n// fusv-disable\n// Deprecated in Bootstrap 5.2.0 for CSS variables\n$popover-arrow-color:               $popover-bg !default;\n$popover-arrow-outer-color:         var(--#{$prefix}border-color-translucent) !default;\n// fusv-enable\n\n\n// Toasts\n\n// scss-docs-start toast-variables\n$toast-max-width:                   350px !default;\n$toast-padding-x:                   .75rem !default;\n$toast-padding-y:                   .5rem !default;\n$toast-font-size:                   .875rem !default;\n$toast-color:                       null !default;\n$toast-background-color:            rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-border-width:                var(--#{$prefix}border-width) !default;\n$toast-border-color:                var(--#{$prefix}border-color-translucent) !default;\n$toast-border-radius:               var(--#{$prefix}border-radius) !default;\n$toast-box-shadow:                  var(--#{$prefix}box-shadow) !default;\n$toast-spacing:                     $container-padding-x !default;\n\n$toast-header-color:                var(--#{$prefix}secondary-color) !default;\n$toast-header-background-color:     rgba(var(--#{$prefix}body-bg-rgb), .85) !default;\n$toast-header-border-color:         $toast-border-color !default;\n// scss-docs-end toast-variables\n\n\n// Badges\n\n// scss-docs-start badge-variables\n$badge-font-size:                   .75em !default;\n$badge-font-weight:                 $font-weight-bold !default;\n$badge-color:                       $white !default;\n$badge-padding-y:                   .35em !default;\n$badge-padding-x:                   .65em !default;\n$badge-border-radius:               var(--#{$prefix}border-radius) !default;\n// scss-docs-end badge-variables\n\n\n// Modals\n\n// scss-docs-start modal-variables\n$modal-inner-padding:               $spacer !default;\n\n$modal-footer-margin-between:       .5rem !default;\n\n$modal-dialog-margin:               .5rem !default;\n$modal-dialog-margin-y-sm-up:       1.75rem !default;\n\n$modal-title-line-height:           $line-height-base !default;\n\n$modal-content-color:               null !default;\n$modal-content-bg:                  var(--#{$prefix}body-bg) !default;\n$modal-content-border-color:        var(--#{$prefix}border-color-translucent) !default;\n$modal-content-border-width:        var(--#{$prefix}border-width) !default;\n$modal-content-border-radius:       var(--#{$prefix}border-radius-lg) !default;\n$modal-content-inner-border-radius: subtract($modal-content-border-radius, $modal-content-border-width) !default;\n$modal-content-box-shadow-xs:       var(--#{$prefix}box-shadow-sm) !default;\n$modal-content-box-shadow-sm-up:    var(--#{$prefix}box-shadow) !default;\n\n$modal-backdrop-bg:                 $black !default;\n$modal-backdrop-opacity:            .5 !default;\n\n$modal-header-border-color:         var(--#{$prefix}border-color) !default;\n$modal-header-border-width:         $modal-content-border-width !default;\n$modal-header-padding-y:            $modal-inner-padding !default;\n$modal-header-padding-x:            $modal-inner-padding !default;\n$modal-header-padding:              $modal-header-padding-y $modal-header-padding-x !default; // Keep this for backwards compatibility\n\n$modal-footer-bg:                   null !default;\n$modal-footer-border-color:         $modal-header-border-color !default;\n$modal-footer-border-width:         $modal-header-border-width !default;\n\n$modal-sm:                          300px !default;\n$modal-md:                          500px !default;\n$modal-lg:                          800px !default;\n$modal-xl:                          1140px !default;\n\n$modal-fade-transform:              translate(0, -50px) !default;\n$modal-show-transform:              none !default;\n$modal-transition:                  transform .3s ease-out !default;\n$modal-scale-transform:             scale(1.02) !default;\n// scss-docs-end modal-variables\n\n\n// Alerts\n//\n// Define alert colors, border radius, and padding.\n\n// scss-docs-start alert-variables\n$alert-padding-y:               $spacer !default;\n$alert-padding-x:               $spacer !default;\n$alert-margin-bottom:           1rem !default;\n$alert-border-radius:           var(--#{$prefix}border-radius) !default;\n$alert-link-font-weight:        $font-weight-bold !default;\n$alert-border-width:            var(--#{$prefix}border-width) !default;\n$alert-dismissible-padding-r:   $alert-padding-x * 3 !default; // 3x covers width of x plus default padding on either side\n// scss-docs-end alert-variables\n\n// fusv-disable\n$alert-bg-scale:                -80% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-border-scale:            -70% !default; // Deprecated in v5.2.0, to be removed in v6\n$alert-color-scale:             40% !default; // Deprecated in v5.2.0, to be removed in v6\n// fusv-enable\n\n// Progress bars\n\n// scss-docs-start progress-variables\n$progress-height:                   1rem !default;\n$progress-font-size:                $font-size-base * .75 !default;\n$progress-bg:                       var(--#{$prefix}secondary-bg) !default;\n$progress-border-radius:            var(--#{$prefix}border-radius) !default;\n$progress-box-shadow:               var(--#{$prefix}box-shadow-inset) !default;\n$progress-bar-color:                $white !default;\n$progress-bar-bg:                   $primary !default;\n$progress-bar-animation-timing:     1s linear infinite !default;\n$progress-bar-transition:           width .6s ease !default;\n// scss-docs-end progress-variables\n\n\n// List group\n\n// scss-docs-start list-group-variables\n$list-group-color:                  var(--#{$prefix}body-color) !default;\n$list-group-bg:                     var(--#{$prefix}body-bg) !default;\n$list-group-border-color:           var(--#{$prefix}border-color) !default;\n$list-group-border-width:           var(--#{$prefix}border-width) !default;\n$list-group-border-radius:          var(--#{$prefix}border-radius) !default;\n\n$list-group-item-padding-y:         $spacer * .5 !default;\n$list-group-item-padding-x:         $spacer !default;\n// fusv-disable\n$list-group-item-bg-scale:          -80% !default; // Deprecated in v5.3.0\n$list-group-item-color-scale:       40% !default; // Deprecated in v5.3.0\n// fusv-enable\n\n$list-group-hover-bg:               var(--#{$prefix}tertiary-bg) !default;\n$list-group-active-color:           $component-active-color !default;\n$list-group-active-bg:              $component-active-bg !default;\n$list-group-active-border-color:    $list-group-active-bg !default;\n\n$list-group-disabled-color:         var(--#{$prefix}secondary-color) !default;\n$list-group-disabled-bg:            $list-group-bg !default;\n\n$list-group-action-color:           var(--#{$prefix}secondary-color) !default;\n$list-group-action-hover-color:     var(--#{$prefix}emphasis-color) !default;\n\n$list-group-action-active-color:    var(--#{$prefix}body-color) !default;\n$list-group-action-active-bg:       var(--#{$prefix}secondary-bg) !default;\n// scss-docs-end list-group-variables\n\n\n// Image thumbnails\n\n// scss-docs-start thumbnail-variables\n$thumbnail-padding:                 .25rem !default;\n$thumbnail-bg:                      var(--#{$prefix}body-bg) !default;\n$thumbnail-border-width:            var(--#{$prefix}border-width) !default;\n$thumbnail-border-color:            var(--#{$prefix}border-color) !default;\n$thumbnail-border-radius:           var(--#{$prefix}border-radius) !default;\n$thumbnail-box-shadow:              var(--#{$prefix}box-shadow-sm) !default;\n// scss-docs-end thumbnail-variables\n\n\n// Figures\n\n// scss-docs-start figure-variables\n$figure-caption-font-size:          $small-font-size !default;\n$figure-caption-color:              var(--#{$prefix}secondary-color) !default;\n// scss-docs-end figure-variables\n\n\n// Breadcrumbs\n\n// scss-docs-start breadcrumb-variables\n$breadcrumb-font-size:              null !default;\n$breadcrumb-padding-y:              0 !default;\n$breadcrumb-padding-x:              0 !default;\n$breadcrumb-item-padding-x:         .5rem !default;\n$breadcrumb-margin-bottom:          1rem !default;\n$breadcrumb-bg:                     null !default;\n$breadcrumb-divider-color:          var(--#{$prefix}secondary-color) !default;\n$breadcrumb-active-color:           var(--#{$prefix}secondary-color) !default;\n$breadcrumb-divider:                quote(\"/\") !default;\n$breadcrumb-divider-flipped:        $breadcrumb-divider !default;\n$breadcrumb-border-radius:          null !default;\n// scss-docs-end breadcrumb-variables\n\n// Carousel\n\n// scss-docs-start carousel-variables\n$carousel-control-color:             $white !default;\n$carousel-control-width:             15% !default;\n$carousel-control-opacity:           .5 !default;\n$carousel-control-hover-opacity:     .9 !default;\n$carousel-control-transition:        opacity .15s ease !default;\n\n$carousel-indicator-width:           30px !default;\n$carousel-indicator-height:          3px !default;\n$carousel-indicator-hit-area-height: 10px !default;\n$carousel-indicator-spacer:          3px !default;\n$carousel-indicator-opacity:         .5 !default;\n$carousel-indicator-active-bg:       $white !default;\n$carousel-indicator-active-opacity:  1 !default;\n$carousel-indicator-transition:      opacity .6s ease !default;\n\n$carousel-caption-width:             70% !default;\n$carousel-caption-color:             $white !default;\n$carousel-caption-padding-y:         1.25rem !default;\n$carousel-caption-spacer:            1.25rem !default;\n\n$carousel-control-icon-width:        2rem !default;\n\n$carousel-control-prev-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M11.354 1.646a.5.5 0 0 1 0 .708L5.707 8l5.647 5.646a.5.5 0 0 1-.708.708l-6-6a.5.5 0 0 1 0-.708l6-6a.5.5 0 0 1 .708 0z'/></svg>\") !default;\n$carousel-control-next-icon-bg:      url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$carousel-control-color}'><path d='M4.646 1.646a.5.5 0 0 1 .708 0l6 6a.5.5 0 0 1 0 .708l-6 6a.5.5 0 0 1-.708-.708L10.293 8 4.646 2.354a.5.5 0 0 1 0-.708z'/></svg>\") !default;\n\n$carousel-transition-duration:       .6s !default;\n$carousel-transition:                transform $carousel-transition-duration ease-in-out !default; // Define transform transition first if using multiple transitions (e.g., `transform 2s ease, opacity .5s ease-out`)\n// scss-docs-end carousel-variables\n\n// scss-docs-start carousel-dark-variables\n$carousel-dark-indicator-active-bg:  $black !default;\n$carousel-dark-caption-color:        $black !default;\n$carousel-dark-control-icon-filter:  invert(1) grayscale(100) !default;\n// scss-docs-end carousel-dark-variables\n\n\n// Spinners\n\n// scss-docs-start spinner-variables\n$spinner-width:           2rem !default;\n$spinner-height:          $spinner-width !default;\n$spinner-vertical-align:  -.125em !default;\n$spinner-border-width:    .25em !default;\n$spinner-animation-speed: .75s !default;\n\n$spinner-width-sm:        1rem !default;\n$spinner-height-sm:       $spinner-width-sm !default;\n$spinner-border-width-sm: .2em !default;\n// scss-docs-end spinner-variables\n\n\n// Close\n\n// scss-docs-start close-variables\n$btn-close-width:            1em !default;\n$btn-close-height:           $btn-close-width !default;\n$btn-close-padding-x:        .25em !default;\n$btn-close-padding-y:        $btn-close-padding-x !default;\n$btn-close-color:            $black !default;\n$btn-close-bg:               url(\"data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='#{$btn-close-color}'><path d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/></svg>\") !default;\n$btn-close-focus-shadow:     $focus-ring-box-shadow !default;\n$btn-close-opacity:          .5 !default;\n$btn-close-hover-opacity:    .75 !default;\n$btn-close-focus-opacity:    1 !default;\n$btn-close-disabled-opacity: .25 !default;\n$btn-close-white-filter:     invert(1) grayscale(100%) brightness(200%) !default;\n// scss-docs-end close-variables\n\n\n// Offcanvas\n\n// scss-docs-start offcanvas-variables\n$offcanvas-padding-y:               $modal-inner-padding !default;\n$offcanvas-padding-x:               $modal-inner-padding !default;\n$offcanvas-horizontal-width:        400px !default;\n$offcanvas-vertical-height:         30vh !default;\n$offcanvas-transition-duration:     .3s !default;\n$offcanvas-border-color:            $modal-content-border-color !default;\n$offcanvas-border-width:            $modal-content-border-width !default;\n$offcanvas-title-line-height:       $modal-title-line-height !default;\n$offcanvas-bg-color:                var(--#{$prefix}body-bg) !default;\n$offcanvas-color:                   var(--#{$prefix}body-color) !default;\n$offcanvas-box-shadow:              $modal-content-box-shadow-xs !default;\n$offcanvas-backdrop-bg:             $modal-backdrop-bg !default;\n$offcanvas-backdrop-opacity:        $modal-backdrop-opacity !default;\n// scss-docs-end offcanvas-variables\n\n// Code\n\n$code-font-size:                    $small-font-size !default;\n$code-color:                        $pink !default;\n\n$kbd-padding-y:                     .1875rem !default;\n$kbd-padding-x:                     .375rem !default;\n$kbd-font-size:                     $code-font-size !default;\n$kbd-color:                         var(--#{$prefix}body-bg) !default;\n$kbd-bg:                            var(--#{$prefix}body-color) !default;\n$nested-kbd-font-weight:            null !default; // Deprecated in v5.2.0, removing in v6\n\n$pre-color:                         null !default;\n","/***\n * Rules for the UX/UI of skip navigation link btn. \n *It's only visible to people\n * navigating with keyboard for accessibility purposes\n * ref: https://www.youtube.com/watch?v=VUR0I5mqq7I\n ***/\n\n.skip-link {\n  position: fixed;\n  top: 0;\n  left: 0;\n  right: 0;\n  text-align: center;\n  background-color: var(--pst-color-warning);\n  // Ensure we are using a WCAG conformant colour\n  color: var(--pst-color-warning-text) !important;\n  padding: 0.5rem;\n  z-index: $zindex-modal;\n  border-bottom: 1px solid var(--pst-color-border);\n\n  // This shows / hides the button\n  transform: translateY(-100%);\n  transition: transform 150ms ease-in-out;\n  &:focus {\n    transform: translateY(0%);\n    // ensure this is visible\n    outline: 3px solid $foundation-black;\n  }\n}\n",".bd-container {\n  flex-grow: 1;\n  display: flex;\n  justify-content: center;\n\n  .bd-container__inner {\n    display: flex;\n  }\n}\n\n.bd-page-width {\n  width: 100%;\n  @include media-breakpoint-up(lg) {\n    max-width: $breakpoint-page-width;\n  }\n}\n","// Breakpoint viewport sizes and media queries.\n//\n// Breakpoints are defined as a map of (name: minimum width), order from small to large:\n//\n//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px)\n//\n// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.\n\n// Name of the next breakpoint, or null for the last breakpoint.\n//\n//    >> breakpoint-next(sm)\n//    md\n//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    md\n//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl xxl))\n//    md\n@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {\n  $n: index($breakpoint-names, $name);\n  @if not $n {\n    @error \"breakpoint `#{$name}` not found in `#{$breakpoints}`\";\n  }\n  @return if($n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);\n}\n\n// Minimum breakpoint width. Null for the smallest (first) breakpoint.\n//\n//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    576px\n@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {\n  $min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    767.98px\n@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {\n  $max: map-get($breakpoints, $name);\n  @return if($max and $max > 0, $max - .02, null);\n}\n\n// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.\n// Useful for making responsive utilities.\n//\n//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"\"  (Returns a blank string)\n//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px, xxl: 1400px))\n//    \"-sm\"\n@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {\n  @return if(breakpoint-min($name, $breakpoints) == null, \"\", \"-#{$name}\");\n}\n\n// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.\n// Makes the @content apply to the given breakpoint and wider.\n@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($name, $breakpoints);\n  @if $min {\n    @media (min-width: $min) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media of at most the maximum breakpoint width. No query for the largest breakpoint.\n// Makes the @content apply to the given breakpoint and narrower.\n@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {\n  $max: breakpoint-max($name, $breakpoints);\n  @if $max {\n    @media (max-width: $max) {\n      @content;\n    }\n  } @else {\n    @content;\n  }\n}\n\n// Media that spans multiple breakpoint widths.\n// Makes the @content apply between the min and max breakpoints\n@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {\n  $min: breakpoint-min($lower, $breakpoints);\n  $max: breakpoint-max($upper, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($lower, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($upper, $breakpoints) {\n      @content;\n    }\n  }\n}\n\n// Media between the breakpoint's minimum and maximum widths.\n// No minimum for the smallest breakpoint, and no maximum for the largest one.\n// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.\n@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {\n  $min:  breakpoint-min($name, $breakpoints);\n  $next: breakpoint-next($name, $breakpoints);\n  $max:  breakpoint-max($next, $breakpoints);\n\n  @if $min != null and $max != null {\n    @media (min-width: $min) and (max-width: $max) {\n      @content;\n    }\n  } @else if $max == null {\n    @include media-breakpoint-up($name, $breakpoints) {\n      @content;\n    }\n  } @else if $min == null {\n    @include media-breakpoint-down($next, $breakpoints) {\n      @content;\n    }\n  }\n}\n",".bd-header-version-warning,\n.bd-header-announcement {\n  min-height: 3rem;\n  width: 100%;\n  display: flex;\n  position: relative;\n  align-items: center;\n  justify-content: center;\n  text-align: center;\n  padding: 0.5rem 12.5%; // Horizontal padding so the width is 75%\n  // One breakpoint less than $breakpoint-sidebar-primary. See variables/_layout.scss for more info.\n  @include media-breakpoint-down(lg) {\n    // Announcements can take a bit more width on mobile\n    padding: 0.5rem 2%;\n  }\n\n  p {\n    font-weight: bold;\n    margin: 0;\n  }\n\n  &:after {\n    position: absolute;\n    width: 100%;\n    height: 100%;\n    left: 0;\n    top: 0;\n    content: \"\";\n    z-index: -1; // So it doesn't hover over the content\n  }\n\n  &:empty {\n    display: none;\n  }\n\n  // Ensure there is enough contrast against the background\n  a {\n    color: var(--pst-color-inline-code-links);\n  }\n}\n\n// Bg color is now defined in the theme color palette - using our secondary color\n.bd-header-announcement {\n  &:after {\n    background-color: var(--pst-color-secondary-bg);\n  }\n}\n\n.bd-header-version-warning {\n  &:after {\n    background-color: var(--pst-color-danger-bg);\n  }\n}\n","/**\n * Main content area\n */\n.bd-main {\n  flex-grow: 1;\n  flex-direction: column;\n  display: flex;\n  min-width: 0;\n\n  .bd-content {\n    display: flex;\n    justify-content: center;\n    height: 100%;\n    .bd-article-container {\n      justify-content: start;\n      display: flex;\n      flex-direction: column;\n      // Max-width is slightly more than the W3 since our docs often have images.\n      // We shoot for about 100 characters per line instead of 80.\n      // ref: https://www.w3.org/WAI/tutorials/page-structure/styling/#line-length\n      width: 100%;\n      max-width: 60em;\n      overflow-x: auto; // Prevent wide content from pushing off the secondary sidebar\n      padding: 1rem;\n      .bd-article {\n        // Give a bit more verticle spacing on wide screens\n        @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n          padding-top: 1.5rem;\n          padding-left: 2rem;\n        }\n      }\n    }\n  }\n}\n",".bd-footer {\n  width: 100%;\n  border-top: 1px solid var(--pst-color-border);\n\n  .bd-footer__inner {\n    display: flex;\n    flex-grow: 1;\n    padding: 1rem;\n    margin: auto;\n  }\n\n  .footer-items__start,\n  .footer-items__center,\n  .footer-items__end {\n    display: flex;\n    flex-direction: column;\n    gap: 0.5rem;\n    justify-content: center;\n    flex-grow: 1;\n  }\n\n  .footer-items__center {\n    text-align: center;\n  }\n\n  .footer-items__end {\n    text-align: end;\n  }\n\n  // So that paragraphs don't take up extra room\n  .footer-item p {\n    margin-bottom: 0;\n  }\n}\n",".bd-footer-article {\n  margin-top: auto;\n\n  .footer-article-items {\n    display: flex;\n    flex-direction: column;\n  }\n}\n",".bd-footer-content {\n  .footer-content-items {\n    display: flex;\n    flex-direction: column;\n    margin-top: auto;\n  }\n}\n","/**\n * Header at the top of the page\n * It includes the announcement bar and the navigation bar.\n */\n\n// Styling for the Icon links can be found in components/_icon-links.scss\n\n// If we want the shadow to only point downward in the future, set\n// box-shadow to: 0 0.125rem 0.25rem -0.125rem rgba(0, 0, 0, 0.11);\n.bd-header {\n  position: sticky;\n  top: 0;\n  z-index: $zindex-fixed;\n\n  // Overrides bootstrap\n  background: var(--pst-color-on-background) !important;\n  box-shadow: 0 0.125rem 0.25rem 0 var(--pst-color-shadow);\n\n  width: 100%;\n  padding: 0;\n  max-width: 100vw;\n  justify-content: center;\n  .bd-header__inner {\n    display: flex;\n    align-items: center;\n    height: fit-content;\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n\n  // These items will define the height of the header\n  .navbar-item {\n    height: var(--pst-header-height);\n    max-height: var(--pst-header-height);\n    display: flex;\n    align-items: center;\n  }\n\n  // Hide the header items on mobile\n  .navbar-header-items {\n    display: none;\n    flex-shrink: 1;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: flex;\n      flex-grow: 1;\n      padding: 0 0 0 0.5rem;\n    }\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center,\n  .navbar-header-items__start {\n    display: flex;\n    align-items: center;\n    flex-flow: wrap;\n    // In case we wrap our items to multiple rows on small screens\n    row-gap: 0;\n  }\n\n  .navbar-header-items__end,\n  .navbar-header-items__center {\n    column-gap: 1rem;\n  }\n\n  // A little smaller because this is displayed by default on mobile\n  .navbar-header-items__start {\n    flex-shrink: 0;\n    margin-right: auto;\n    gap: 0.5rem;\n  }\n\n  .navbar-header-items__end {\n    // End navbar items should snap to the right\n    justify-content: end;\n  }\n\n  // Contains the navigation links within the navbar\n  .navbar-nav {\n    display: flex;\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      // Center align on wide screens so the dropdown button is centered properly\n      align-items: center;\n    }\n\n    li a.nav-link {\n      @include link-style-text;\n    }\n\n    // Current page is always underlined in the navbar\n    > .current > .nav-link {\n      @include link-navbar-current;\n    }\n\n    // Dropdowns for the extra links\n    .dropdown {\n      button {\n        display: unset;\n        color: var(--pst-color-text-muted);\n        border: none;\n        @include link-style-hover;\n        @include focus-indicator;\n      }\n\n      .dropdown-menu {\n        z-index: $zindex-popover;\n        border: 1px solid var(--pst-color-border);\n        box-shadow: 0 0 0.3rem 0.1rem var(--pst-color-shadow);\n        background-color: var(--pst-color-on-background);\n        padding: 0.5rem 0;\n        margin: 0.5rem 0;\n        min-width: 20rem;\n\n        .dropdown-item {\n          // Give the items in the dropdown some breathing room but let the hit\n          // and hover area of the items extend to the edges of the menu\n          padding: 0.25rem 1.5rem;\n\n          // Override Bootstrap\n          &:focus:not(:hover):not(:active) {\n            background-color: inherit;\n          }\n        }\n\n        // Hide the menu unless show has been clicked\n        &:not(.show) {\n          display: none;\n        }\n      }\n    }\n  }\n}\n\n// inline the element in the navbar as long as they fit and use display block when collapsing\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  .navbar-center-items .navbar-item {\n    display: inline-block;\n  }\n}\n\n.nav-link {\n  @include link-style-hover;\n\n  // Override Bootstrap\n  transition: none;\n\n  &.nav-external:after {\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-external-link);\n    font-size: 0.75em;\n    margin-left: 0.3em;\n  }\n}\n\n.bd-navbar-elements li.nav-item i {\n  font-size: 0.7rem;\n  padding-left: 2px;\n  vertical-align: middle;\n}\n\n/**\n * Showing and hiding the sidebar toggle buttons and header items\n */\n\n// Hide the header items on mobile\n.bd-header {\n  // Toggle labels\n  label {\n    &.sidebar-toggle {\n      display: flex;\n      cursor: pointer;\n      font-size: var(--pst-font-size-icon);\n      align-items: center;\n      color: var(--pst-color-muted);\n      margin-bottom: 0;\n      padding-bottom: 0.25rem;\n    }\n\n    &.primary-toggle {\n      margin-right: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-primary) {\n        display: none;\n      }\n    }\n\n    &.secondary-toggle {\n      margin-left: 1rem;\n      @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n        display: none;\n      }\n    }\n    @include icon-navbar-hover;\n    @include focus-indicator;\n  }\n\n  // Hide the navbar header items on mobile because they're in the sidebar\n  .navbar-header-items {\n    display: none;\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: inherit;\n    }\n  }\n}\n\n// THe elements next to the hamburger menu only show on narrow screens\n.navbar-persistent--mobile {\n  margin-left: auto;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: none;\n  }\n}\n\n// The navbar-persistent content should only show on wide screens\n.navbar-persistent--container {\n  display: none;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: flex;\n  }\n}\n",".header-article__inner {\n  display: flex;\n  padding: 0 0.5rem;\n\n  // The items define the height so that it disappears if there are no items\n  .header-article-item {\n    min-height: var(--pst-header-article-height);\n    height: var(--pst-header-article-height);\n  }\n\n  .header-article-items__start,\n  .header-article-items__end {\n    display: flex;\n    align-items: start;\n    gap: 0.5rem;\n  }\n\n  .header-article-items__end {\n    margin-left: auto;\n  }\n}\n","/**\n * The primary sidebar on the left.\n * e.g., between-pages navigation.\n */\n\n.bd-sidebar-primary {\n  display: flex;\n  flex-direction: column;\n  gap: 1rem;\n  max-height: calc(100vh - var(--pst-header-height));\n  position: sticky;\n  top: var(--pst-header-height);\n  @include make-col(3);\n\n  // Borders padding and whitespace\n  padding: 2rem 1rem 1rem 1rem;\n  border-right: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // override bootstrap when navlink are displayed in the sidebar\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n  }\n\n  &.no-sidebar {\n    border-right: 0;\n  }\n\n  &.hide-on-wide {\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  // Headers shouldn't be colored in the sidebars and some extensions add headers\n  h1,\n  h2,\n  h3,\n  h4 {\n    color: var(--pst-color-text-base);\n  }\n\n  .sidebar-primary-items__start,\n  .sidebar-primary-items__end {\n    .sidebar-primary-item {\n      padding: 0.5rem 0;\n    }\n  }\n\n  // Hide the sidebar header items on widescreen since they are visible in the header\n  .sidebar-header-items {\n    display: flex;\n    flex-direction: column;\n\n    .sidebar-header-items__title {\n      font-weight: var(--pst-sidebar-header-font-weight);\n      font-size: var(--pst-sidebar-header-font-size);\n      color: var(--pst-color-text-base);\n      margin-bottom: 0.5rem;\n    }\n\n    // The dropdown toggle for extra links just shows them all instead.\n    .nav-item.dropdown {\n      // On mobile, the dropdown behaves like any other link, no hiding\n      button {\n        display: none;\n      }\n\n      .dropdown-menu {\n        display: flex;\n        flex-direction: column;\n        padding: 0;\n        margin: 0;\n        border: none;\n        background-color: inherit;\n        font-size: inherit;\n      }\n    }\n\n    // Center header items get displayed vertically, end items are displayed horizontally\n    .sidebar-header-items__center {\n      display: flex;\n      flex-direction: column;\n    }\n\n    // Positioning end items\n    .sidebar-header-items__end {\n      display: flex;\n      align-items: center;\n      gap: 0.5rem;\n    }\n\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      display: none;\n    }\n  }\n\n  .sidebar-primary-items__start {\n    // Add a border on mobile to separate it from the header sidebar area\n    border-top: 1px solid var(--pst-color-border);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      border-top: none;\n    }\n  }\n\n  .sidebar-primary-items__end {\n    margin-top: auto;\n    margin-bottom: 1em;\n  }\n  .list-caption {\n    list-style: none;\n    padding-left: 0px;\n  }\n  li {\n    position: relative;\n    // If it has children, add a bit more padding to wrap the content to avoid\n    // overlapping with the <label>\n    &.has-children {\n      > .reference {\n        padding-right: 30px;\n      }\n    }\n  }\n  // Navigation item chevrons\n  label.toctree-toggle {\n    position: absolute;\n    top: 0;\n    right: 0;\n    height: 30px;\n    width: 30px;\n\n    cursor: pointer;\n\n    display: flex;\n    justify-content: center;\n    align-items: center;\n\n    &:hover {\n      background: var(--pst-color-surface);\n    }\n\n    i {\n      display: inline-block;\n      font-size: 0.75rem;\n      text-align: center;\n      &:hover {\n        color: var(--pst-color-primary);\n      }\n    }\n  }\n  .label-parts {\n    width: 100%;\n    height: 100%;\n    &:hover {\n      background: none;\n    }\n    i {\n      width: 30px;\n      position: absolute;\n      top: 0.3em; // aligning chevron with text\n      right: 0em; // aligning chevron to the right\n    }\n  }\n}\n\n/* Between-page links and captions */\nnav.bd-links {\n  margin-right: -1rem;\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    display: block;\n  }\n\n  ul {\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  li > a {\n    display: block;\n    padding: 0.25rem 0.65rem;\n    @include link-sidebar;\n    box-shadow: none;\n\n    &.reference.external {\n      &:after {\n        font: var(--fa-font-solid);\n        content: var(--pst-icon-external-link);\n        font-size: 0.75em;\n        margin-left: 0.3em;\n      }\n    }\n  }\n\n  .current {\n    > a {\n      @include link-sidebar-current;\n      background-color: transparent;\n    }\n  }\n\n  // Title\n  p.bd-links__title {\n    font-size: var(--pst-sidebar-header-font-size);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n\n  // Toctree captions\n  p.caption {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    position: relative;\n    margin-top: 1.25rem;\n    margin-bottom: 0.5rem;\n    color: var(--pst-color-text-base);\n    &:first-child {\n      margin-top: 0;\n    }\n\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-primary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n@mixin make-row($gutter: $grid-gutter-width) {\n  --#{$prefix}gutter-x: #{$gutter};\n  --#{$prefix}gutter-y: 0;\n  display: flex;\n  flex-wrap: wrap;\n  // TODO: Revisit calc order after https://github.com/react-bootstrap/react-bootstrap/issues/6039 is fixed\n  margin-top: calc(-1 * var(--#{$prefix}gutter-y)); // stylelint-disable-line function-disallowed-list\n  margin-right: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n  margin-left: calc(-.5 * var(--#{$prefix}gutter-x)); // stylelint-disable-line function-disallowed-list\n}\n\n@mixin make-col-ready() {\n  // Add box sizing if only the grid is loaded\n  box-sizing: if(variable-exists(include-column-box-sizing) and $include-column-box-sizing, border-box, null);\n  // Prevent columns from becoming too narrow when at smaller grid tiers by\n  // always setting `width: 100%;`. This works because we set the width\n  // later on to override this initial width.\n  flex-shrink: 0;\n  width: 100%;\n  max-width: 100%; // Prevent `.col-auto`, `.col` (& responsive variants) from breaking out the grid\n  padding-right: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  padding-left: calc(var(--#{$prefix}gutter-x) * .5); // stylelint-disable-line function-disallowed-list\n  margin-top: var(--#{$prefix}gutter-y);\n}\n\n@mixin make-col($size: false, $columns: $grid-columns) {\n  @if $size {\n    flex: 0 0 auto;\n    width: percentage(divide($size, $columns));\n\n  } @else {\n    flex: 1 1 0;\n    max-width: 100%;\n  }\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n}\n\n@mixin make-col-offset($size, $columns: $grid-columns) {\n  $num: divide($size, $columns);\n  margin-left: if($num == 0, 0, percentage($num));\n}\n\n// Row columns\n//\n// Specify on a parent element(e.g., .row) to force immediate children into NN\n// number of columns. Supports wrapping to new lines, but does not do a Masonry\n// style grid.\n@mixin row-cols($count) {\n  > * {\n    flex: 0 0 auto;\n    width: percentage(divide(1, $count));\n  }\n}\n\n// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `$grid-columns`.\n\n@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      // Provide basic `.col-{bp}` classes for equal-width flexbox columns\n      .col#{$infix} {\n        flex: 1 0 0%; // Flexbugs #4: https://github.com/philipwalton/flexbugs#flexbug-4\n      }\n\n      .row-cols#{$infix}-auto > * {\n        @include make-col-auto();\n      }\n\n      @if $grid-row-columns > 0 {\n        @for $i from 1 through $grid-row-columns {\n          .row-cols#{$infix}-#{$i} {\n            @include row-cols($i);\n          }\n        }\n      }\n\n      .col#{$infix}-auto {\n        @include make-col-auto();\n      }\n\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .col#{$infix}-#{$i} {\n            @include make-col($i, $columns);\n          }\n        }\n\n        // `$columns - 1` because offsetting by the width of an entire row isn't possible\n        @for $i from 0 through ($columns - 1) {\n          @if not ($infix == \"\" and $i == 0) { // Avoid emitting useless .offset-0\n            .offset#{$infix}-#{$i} {\n              @include make-col-offset($i, $columns);\n            }\n          }\n        }\n      }\n\n      // Gutters\n      //\n      // Make use of `.g-*`, `.gx-*` or `.gy-*` utilities to change spacing between the columns.\n      @each $key, $value in $gutters {\n        .g#{$infix}-#{$key},\n        .gx#{$infix}-#{$key} {\n          --#{$prefix}gutter-x: #{$value};\n        }\n\n        .g#{$infix}-#{$key},\n        .gy#{$infix}-#{$key} {\n          --#{$prefix}gutter-y: #{$value};\n        }\n      }\n    }\n  }\n}\n\n@mixin make-cssgrid($columns: $grid-columns, $breakpoints: $grid-breakpoints) {\n  @each $breakpoint in map-keys($breakpoints) {\n    $infix: breakpoint-infix($breakpoint, $breakpoints);\n\n    @include media-breakpoint-up($breakpoint, $breakpoints) {\n      @if $columns > 0 {\n        @for $i from 1 through $columns {\n          .g-col#{$infix}-#{$i} {\n            grid-column: auto / span $i;\n          }\n        }\n\n        // Start with `1` because `0` is and invalid value.\n        // Ends with `$columns - 1` because offsetting by the width of an entire row isn't possible.\n        @for $i from 1 through ($columns - 1) {\n          .g-start#{$infix}-#{$i} {\n            grid-column-start: $i;\n          }\n        }\n      }\n    }\n  }\n}\n","/**\n * Secondary sidebar on the right.\n * e.g., in-page table of contents.\n */\n.bd-sidebar-secondary {\n  display: flex;\n  order: 2;\n  flex-shrink: 0;\n  flex-direction: column;\n  position: sticky;\n  top: var(--pst-header-height);\n  max-height: calc(100vh - var(--pst-header-height));\n  padding: 2rem 1rem 1rem 1rem;\n  width: var(--pst-sidebar-secondary);\n  font-size: var(--pst-sidebar-font-size-mobile);\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    font-size: var(--pst-sidebar-font-size);\n  }\n\n  // Color and border\n  background-color: var(--pst-color-background);\n  overflow-y: auto;\n}\n\n.sidebar-secondary-item {\n  padding: 0.5rem 0.5rem;\n  @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n    border-left: 1px solid var(--pst-color-border);\n    padding-left: 1rem;\n  }\n\n  i {\n    padding-right: 0.5rem;\n  }\n}\n","/*******************************************************************************\n* Rules for the UX/UI of sidebar sliding drawers on mobile\n* Note that this sheet controls styles across many parts of the theme\n* It is aggregated into this one sheet instead of being split across\n* components in order to keep it easier to debug in one place.\n* It is broken up into major sections below.\n*/\n\n/*******************************************************************************\n* Buttons and overlays\n*/\ninput.sidebar-toggle {\n  display: none;\n}\n\n// Background overlays\nlabel.overlay {\n  background-color: black;\n  opacity: 0.5;\n  height: 0;\n  width: 0;\n  position: fixed;\n  top: 0;\n  left: 0;\n  transition: opacity $animation-time ease-out;\n  z-index: $zindex-modal-backdrop;\n}\n\ninput {\n  // Show the correct overlay when its input is checked\n  &#__primary:checked + label.overlay.overlay-primary,\n  &#__secondary:checked + label.overlay.overlay-secondary {\n    height: 100vh;\n    width: 100vw;\n  }\n\n  // Primary sidebar slides in from the left\n  &#__primary:checked ~ .bd-container .bd-sidebar-primary {\n    visibility: visible;\n    margin-left: 0;\n  }\n\n  // Secondary sidebar slides in from the right\n  &#__secondary:checked ~ .bd-container .bd-sidebar-secondary {\n    visibility: visible;\n    margin-right: 0;\n  }\n}\n\n/*******************************************************************************\n* Sidebar drawer behavior\n*/\n\n/**\n * Behavior for sliding drawer elements that will be toggled with an input\n *\n * NOTE: We use this mixin to define the toggle behavior on narrow screens,\n * And the wide-screen behavior of the sections is defined in their own section\n * .scss files.\n */\n@mixin sliding-drawer($side: \"left\") {\n  position: fixed;\n  top: 0;\n  z-index: $zindex-modal;\n  height: 100vh;\n  max-height: 100vh;\n  width: 75%;\n  flex-grow: 0.75;\n  max-width: 350px;\n  transition: visibility $animation-time ease-out,\n    margin $animation-time ease-out;\n  visibility: hidden;\n\n  @if $side == \"right\" {\n    margin-right: -75%;\n    right: 0;\n  } @else {\n    margin-left: -75%;\n    left: 0;\n  }\n}\n\n// Primary sidebar hides/shows at earlier widths\n@include media-breakpoint-up($breakpoint-sidebar-primary) {\n  label.sidebar-toggle.primary-toggle {\n    display: none;\n  }\n\n  input#__primary {\n    &:checked + label.overlay.overlay-primary {\n      height: 0;\n      width: 0;\n    }\n  }\n\n  .bd-sidebar-primary {\n    margin-left: 0;\n    visibility: visible;\n  }\n}\n\n.bd-sidebar-primary {\n  @include media-breakpoint-down($breakpoint-sidebar-primary) {\n    @include sliding-drawer(\"left\");\n  }\n}\n\n.bd-sidebar-secondary {\n  @include media-breakpoint-down($breakpoint-sidebar-secondary) {\n    @include sliding-drawer(\"right\");\n  }\n}\n","/**\n * Breadcrumbs for parent pages meant for the article header\n */\nul.bd-breadcrumbs {\n  list-style: none;\n  padding-left: 0;\n  display: flex;\n  flex-wrap: wrap;\n\n  // Font size slightly smaller to avoid cluttering up space too much\n  font-size: 0.8rem;\n\n  li.breadcrumb-item {\n    display: flex;\n    align-items: center;\n\n    // Style should look like heavier in-page links\n    // keeping visited in the default link colour\n    font-weight: bold;\n    a {\n      @include link-style-text;\n    }\n\n    // Items that aren't the home have a caret to the left\n    &:not(.breadcrumb-home):before {\n      font: var(--fa-font-solid);\n      font-size: 0.8rem;\n      content: var(--pst-breadcrumb-divider);\n      color: var(--pst-color-text-muted);\n      padding: 0 0.5rem;\n    }\n  }\n}\n","/**\n * Icon links in the navbar\n */\n\n.navbar-icon-links {\n  display: flex;\n  flex-direction: row;\n  column-gap: 1rem;\n  flex-wrap: wrap;\n\n  // Remove the padding so that we can define it with flexbox gap above\n  li.nav-item a.nav-link {\n    padding-left: 0;\n    padding-right: 0;\n    @include icon-navbar-hover;\n  }\n\n  // Spacing and centering\n  a span {\n    display: flex;\n    align-items: center;\n  }\n\n  // Icons styling\n  i {\n    &.fa-brands,\n    &.fa-regular,\n    &.fa-solid {\n      vertical-align: middle;\n      font-style: normal;\n      font-size: var(--pst-font-size-icon);\n    }\n\n    /* Social media buttons hard-code the brand color */\n    &.fa-square-twitter:before {\n      color: #55acee;\n    }\n\n    &.fa-square-gitlab:before {\n      color: #548;\n    }\n\n    &.fa-bitbucket:before {\n      color: #0052cc;\n    }\n  }\n\n  // Force images to be icon-sized\n  img.icon-link-image {\n    height: 1.5em;\n    border-radius: 0.2rem;\n  }\n}\n","/**\n * Logo in the navbar\n */\n\n.navbar-brand {\n  position: relative;\n  height: var(--pst-header-height);\n  max-height: var(--pst-header-height);\n  padding: 0.5rem 0;\n  width: auto;\n  margin: 0;\n  display: flex;\n  // Ensure that the logo stays the same length while other content shrinks\n  flex-shrink: 0;\n  align-items: center;\n  gap: 0.5rem;\n\n  // If there's no logo image, we use a p element w/ the site title\n  p {\n    margin-bottom: 0;\n  }\n\n  // If there's a logo, it'll be in an img block\n  img {\n    max-width: 100%;\n    height: 100%;\n    width: auto;\n  }\n\n  // remove underline from brand title on default state\n  a {\n    text-decoration: none;\n  }\n  &:hover {\n    @include link-style-hover;\n  }\n  &:visited {\n    &:hover {\n      @include link-style-hover;\n    }\n  }\n}\n","/**\n * Navigation text links in the navbar\n */\n.navbar-nav {\n  ul {\n    display: block;\n    list-style: none;\n\n    // Reduce padding of nested `ul` items a bit\n    ul {\n      padding: 0 0 0 1rem;\n    }\n  }\n\n  // Navbar links - do not have an underline by default\n  li {\n    display: flex;\n    flex-direction: column;\n\n    a {\n      display: flex;\n      align-items: center;\n      height: 100%;\n      padding-top: 0.25rem;\n      padding-bottom: 0.25rem;\n      @include link-style-text;\n    }\n  }\n\n  /**\n   * Togglable expand/collapse\n   * This is only applicable to the primary sidebar which has these checkboxes\n   */\n  .toctree-checkbox {\n    position: absolute;\n    display: none;\n  }\n\n  .toctree-checkbox {\n    ~ ul {\n      display: none;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(0deg);\n    }\n  }\n  .toctree-checkbox:checked {\n    ~ ul {\n      display: block;\n    }\n    ~ label .fa-chevron-down {\n      transform: rotate(180deg);\n    }\n  }\n}\n","/**\n * The list of in-page TOC links\n */\n.page-toc {\n  .section-nav {\n    padding-left: 0;\n    border-bottom: none;\n\n    ul {\n      padding-left: 1rem;\n    }\n  }\n\n  // override bootstrap settings\n  .nav-link {\n    font-size: var(--pst-sidebar-font-size-mobile);\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      font-size: var(--pst-sidebar-font-size);\n    }\n  }\n\n  .onthispage {\n    color: var(--pst-color-text-base);\n    font-weight: var(--pst-sidebar-header-font-weight);\n    margin-bottom: 0.5rem;\n  }\n}\n","/**\n* Previous / Next navigation buttons\n**/\n.prev-next-area {\n  width: 100%;\n\n  p {\n    margin: 0 0.3em;\n    line-height: 1.3em;\n  }\n\n  i {\n    font-size: 1.2em;\n  }\n\n  a {\n    // So that buttons align with icons\n    display: flex;\n    align-items: center;\n    border: none;\n    padding: 10px;\n    max-width: 45%;\n    overflow-x: hidden;\n    color: var(--pst-color-text-muted);\n    text-decoration: none;\n\n    p.prev-next-title {\n      @include link-style-default;\n      font-weight: var(--pst-admonition-font-weight-heading);\n      font-size: 1.1em;\n    }\n\n    &:hover p.prev-next-title {\n      @include link-style-hover;\n    }\n    // Exception here - keep visited in the default link colour\n    // it still should hover on the default link hover colour\n    &:visited p.prev-next-title {\n      color: var(--pst-color-link);\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n\n    .prev-next-info {\n      flex-direction: column;\n      margin: 0 0.5em;\n\n      .prev-next-subtitle {\n        text-transform: capitalize;\n      }\n    }\n\n    &.left-prev {\n      float: left;\n    }\n\n    &.right-next {\n      float: right;\n\n      div.prev-next-info {\n        text-align: right;\n      }\n    }\n  }\n}\n","/**\n * Search field\n **/\n.bd-search {\n  position: relative;\n  padding-left: 0.5rem;\n  gap: 0.5rem;\n  background-color: var(--pst-color-background);\n  border-radius: $admonition-border-radius;\n  border: 1px solid var(--pst-color-border);\n  color: var(--pst-color-text-base);\n\n  // Background should always be same color regardless of active or not\n  &:active {\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n\n  .icon {\n    position: absolute;\n    color: var(--pst-color-border);\n    left: 25px;\n  }\n\n  .fa-solid.fa-magnifying-glass {\n    position: absolute;\n    left: calc((2.5rem - 0.7em) / 2);\n    color: var(--pst-color-text-muted);\n  }\n\n  input {\n    // Inner-text of the search bar\n    &::placeholder {\n      color: var(--pst-color-text-muted);\n    }\n\n    // Remove the little \"x\" that pops up when you start typing\n    &::-webkit-search-cancel-button,\n    &::-webkit-search-decoration {\n      -webkit-appearance: none;\n      appearance: none;\n    }\n  }\n\n  // Shows off the keyboard shortcuts for the button\n  .search-button__kbd-shortcut {\n    display: flex;\n    position: absolute;\n    right: 0.5rem;\n    color: var(--pst-color-border);\n  }\n}\n\n.form-control {\n  background-color: var(--pst-color-background);\n  color: var(--pst-color-text-base);\n\n  &:focus,\n  &:focus-visible {\n    border: none;\n    box-shadow: none;\n    outline: 3px solid var(--pst-color-accent);\n    background-color: var(--pst-color-background);\n    color: var(--pst-color-text-muted);\n  }\n}\n\n/**\n * Search button - located in the navbar\n */\n\n// Search link icon should be a bit bigger since it is separate from icon links\n.search-button {\n  display: flex;\n  align-items: center;\n  align-content: center;\n  color: var(--pst-color-text-muted);\n  border-radius: 0;\n  @include icon-navbar-hover;\n  @include focus-indicator;\n\n  i {\n    font-size: 1.3rem;\n  }\n}\n\n// __search-container will only show up when we use the search pop-up bar\n.search-button__search-container,\n.search-button__overlay {\n  display: none;\n}\n.search-button__wrapper.show {\n  .search-button__search-container {\n    display: flex;\n    // Center in middle of screen just underneath header\n    position: fixed;\n    z-index: $zindex-modal;\n    top: 30%;\n    left: 50%;\n    transform: translate(-50%, -50%);\n    right: 1rem;\n    margin-top: 0.5rem;\n    width: 90%;\n    max-width: 800px;\n  }\n\n  .search-button__overlay {\n    display: flex;\n    position: fixed;\n    z-index: $zindex-modal-backdrop;\n    background-color: black;\n    opacity: 0.5;\n    width: 100%;\n    height: 100%;\n    top: 0px;\n    left: 0px;\n  }\n\n  form.bd-search {\n    flex-grow: 1;\n    padding-top: 0;\n    padding-bottom: 0;\n  }\n\n  // Font and input text a bit bigger\n  svg,\n  input {\n    font-size: var(--pst-font-size-icon);\n  }\n}\n\n/**\n * The search button component that looks like a field.\n * Lives at components/search-button-field.html\n */\n.search-button-field {\n  display: inline-flex;\n  align-items: center;\n  border: var(--pst-color-border) solid 1px;\n  border-radius: 1.5em;\n  color: var(--pst-color-text-muted);\n  padding: 0.5em;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    border: 2px solid var(--pst-color-link-hover);\n  }\n  &:focus-visible {\n    border: 2px solid var(--pst-color-accent);\n  }\n\n  // The keyboard shotcut text\n  .search-button__default-text {\n    font-size: var(--bs-nav-link-font-size);\n    font-weight: var(--bs-nav-link-font-weight);\n    margin-right: 0.5em;\n    margin-left: 0.5em;\n  }\n\n  .kbd-shortcut__modifier {\n    font-size: 0.75em;\n  }\n\n  // Ensures that all the text lines up in the middle\n  > * {\n    align-items: center;\n  }\n\n  // Only the icon should be visible on narrow screens\n  > :not(svg) {\n    display: none;\n\n    @include media-breakpoint-up(lg) {\n      display: flex;\n    }\n  }\n}\n","/**\n * The 'Hide Search Matches' button.\n * This only shows up when a person lands on a page after clicking a search result.\n * Clicking it removes the highlighting of the search term from the page.\n * We want it to behave like a button.\n */\ndiv#searchbox {\n  // Leave `#searchbox` rules empty so that it doesn't show at all when it is empty\n  p.highlight-link {\n    margin: 1rem 0;\n    width: fit-content;\n\n    // A bit more margin on wide screens to mimic article behavior\n    @include media-breakpoint-up($breakpoint-sidebar-secondary) {\n      margin-left: 2rem;\n    }\n\n    // Put outer shadow on this one so that we can darken the link w/ an inner shadow\n    @include box-shadow();\n\n    // Style the button to look like a Sphinx Design button\n    a {\n      border-radius: 0.25rem;\n      font-size: 1.25rem;\n      padding: 0.75rem;\n      background-color: var(--pst-color-primary);\n      color: var(--pst-color-primary-text);\n      text-decoration: none;\n\n      // The box shadow is inset so that it darkens the button on hover\n      transition: box-shadow 0.25s ease-out;\n      &:hover {\n        box-shadow: inset 0px 0px 50px 50px rgba(0, 0, 0, 0.25);\n      }\n\n      &:before {\n        content: var(--pst-icon-search-minus);\n        color: unset;\n        font: var(--fa-font-solid);\n        margin-right: 0.5rem;\n      }\n    }\n  }\n}\n","/*********************************************\n* SASS Mixins\n*********************************************/\n\n/**\n * A consistent box shadow style we apply across elements.\n */\n@mixin box-shadow() {\n  box-shadow: 0 0.2rem 0.5rem var(--pst-color-shadow),\n    0 0 0.0625rem var(--pst-color-shadow) !important;\n}\n\n/**\n   * Set background of some cell outputs to white-ish to make sure colors work\n   * This is because many libraries make output that only looks good on white\n   */\n@mixin cell-output-background {\n  color: var(--pst-color-on-background);\n  background-color: var(--pst-color-text-base);\n  border-radius: 0.25rem;\n  padding: 0.5rem;\n}\n","/**\n * Light/dark theme switcher\n */\n\n.theme-switch-button {\n  // overide bootstrap settings\n  margin: 0 -0.5rem;\n  padding: 0; // We pad the `span` not the container\n  color: var(--pst-color-text-muted);\n  border-radius: 0;\n  @include focus-indicator;\n\n  span {\n    display: none;\n    padding: 0.5em;\n\n    @include icon-navbar-hover;\n    &:active {\n      text-decoration: none;\n      color: var(--pst-color-link-hover);\n    }\n  }\n}\n\nhtml[data-mode=\"auto\"] .theme-switch-button span[data-mode=\"auto\"] {\n  display: flex;\n}\nhtml[data-mode=\"light\"] .theme-switch-button span[data-mode=\"light\"] {\n  display: flex;\n}\nhtml[data-mode=\"dark\"] .theme-switch-button span[data-mode=\"dark\"] {\n  display: flex;\n}\n","button.btn.version-switcher__button {\n  border-color: var(--pst-color-border);\n  color: var(--pst-color-text-base);\n  // Add a margin on narrow screens to avoid feeling cramped\n  margin-bottom: 1em;\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    margin-bottom: unset;\n  }\n\n  @include link-style-hover;\n  @include focus-indicator;\n  &:active {\n    color: var(--pst-color-text-base);\n    border-color: var(--pst-color-border);\n  }\n}\n\n.version-switcher__menu {\n  border-color: var(--pst-color-border);\n  border-radius: var(--bs-dropdown-border-radius);\n\n  a.list-group-item {\n    background-color: var(--pst-color-on-background);\n    color: var(--pst-color-text-base);\n    padding: 0.75rem 1.25rem;\n\n    &:not(:last-child) {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n    @include link-style-hover;\n    &:hover {\n      background-color: var(--pst-color-surface);\n    }\n    &.active {\n      @include link-sidebar-current;\n      position: relative;\n      z-index: 1;\n\n      span:before {\n        content: \"\";\n        width: 100%;\n        height: 100%;\n        position: absolute;\n        z-index: -1;\n        left: 0;\n        top: 0;\n      }\n    }\n  }\n}\n\n// Font behavior on mobile\nbutton.version-switcher__button,\n.version-switcher__menu {\n  font-size: 1.1em; // A bit smaller than other menu font\n  z-index: $zindex-modal; // higher than the sidebars\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    font-size: unset;\n  }\n}\n","/* Collapsing of the TOC sidebar while scrolling */\n/* Nav: hide second level (shown on .active) */\n\nnav.page-toc {\n  // A little extra space before the buttons\n  margin-bottom: 1rem;\n}\n\n.bd-toc .nav,\n.list-caption {\n  .nav {\n    display: none;\n\n    // So we can manually specify a level as visible in the config\n    &.visible {\n      display: block;\n    }\n  }\n\n  > .active > ul {\n    display: block;\n  }\n}\n\n// Each entry of the in-page TOC\n.toc-entry {\n  display: block;\n  a > code {\n    color: var(--pst-color-text-muted);\n  }\n\n  a.nav-link {\n    display: block;\n    padding: 0.125rem 0;\n\n    // Padding w/ negative margin so the top TOC item highlight overlaps w/ the TOC border\n    padding-left: 1rem;\n    margin-left: -1rem;\n\n    @include link-sidebar;\n\n    &.active {\n      @include link-sidebar-current;\n      background-color: transparent;\n\n      &:hover {\n        color: var(--pst-color-link-hover);\n      }\n    }\n  }\n}\n","div.versionadded,\ndiv.versionchanged,\ndiv.deprecated {\n  vertical-align: middle;\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n  position: relative;\n\n  > p {\n    margin-bottom: 0.6rem;\n    margin-top: 0.6rem;\n  }\n}\n\ndiv.versionadded {\n  border-color: var(--pst-color-success);\n  background-color: var(--pst-color-success-bg);\n}\n\ndiv.versionchanged {\n  border-color: var(--pst-color-warning);\n  background-color: var(--pst-color-warning-bg);\n}\n\ndiv.deprecated {\n  border-color: var(--pst-color-danger);\n  background-color: var(--pst-color-danger-bg);\n}\n\nspan.versionmodified {\n  font-weight: 600;\n\n  &:before {\n    margin-right: 0.6rem;\n    color: var(--pst-color-info);\n    font: var(--fa-font-solid);\n    content: var(--pst-icon-versionmodified-default);\n  }\n}\n\nspan.versionmodified.added {\n  &:before {\n    color: var(--pst-color-success);\n    content: var(--pst-icon-versionmodified-added);\n  }\n}\n\nspan.versionmodified.changed {\n  &:before {\n    color: var(--pst-color-warning);\n    content: var(--pst-icon-versionmodified-changed);\n  }\n}\n\nspan.versionmodified.deprecated {\n  &:before {\n    color: var(--pst-color-danger);\n    content: var(--pst-icon-versionmodified-deprecated);\n  }\n}\n",".sidebar-indices-items {\n  display: flex;\n  flex-direction: column;\n  border-top: 1px solid var(--pst-color-border);\n\n  @include media-breakpoint-up($breakpoint-sidebar-primary) {\n    border-top: none;\n  }\n\n  .sidebar-indices-items__title {\n    font-weight: var(--pst-sidebar-header-font-weight);\n    font-size: var(--pst-sidebar-header-font-size);\n    color: var(--pst-color-text-base);\n    margin-bottom: 0.5rem;\n  }\n\n  ul.indices-link {\n    margin-right: -1rem;\n    list-style: none;\n    padding: 0;\n\n    li > a {\n      display: block;\n      padding: 0.25rem 0;\n      color: var(--pst-color-text-muted);\n\n      &:hover {\n        color: var(--pst-color-primary);\n        text-decoration: none;\n        background-color: transparent;\n      }\n    }\n  }\n}\n",".bd-sidebar-primary div#rtd-footer-container {\n  position: sticky;\n  bottom: -1rem;\n  margin: -1rem; // ignore sidebar padding\n\n  .rst-versions.rst-badge {\n    position: unset;\n    font-size: 0.9em;\n    font-family: var(--pst-font-family-base);\n    max-width: unset;\n\n    .rst-current-version {\n      display: flex;\n      align-items: center;\n      gap: 0.2rem;\n      height: 2.5rem;\n      transition: background-color 0.2s ease-out;\n      background-color: var(--pst-color-background);\n      color: var(--pst-color-success);\n      border-top: 1px solid var(--pst-color-border);\n    }\n\n    .fa.fa-book {\n      color: var(--pst-color-text-muted);\n      margin-right: auto;\n\n      &::after {\n        color: var(--pst-color-text-base);\n        content: \"Read The Docs\";\n        font-family: var(--pst-font-family-base);\n        font-weight: var(--pst-admonition-font-weight-heading);\n      }\n    }\n    .fa.fa-caret-down {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  .rst-versions.rst-badge.shift-up {\n    .rst-current-version {\n      border-bottom: 1px solid var(--pst-color-border);\n    }\n  }\n\n  .rst-other-versions {\n    background-color: var(--pst-color-surface);\n    color: var(--pst-color-text-base);\n\n    dl {\n      dd a {\n        color: var(--pst-color-text-muted);\n      }\n    }\n\n    hr {\n      background-color: var(--pst-color-border);\n    }\n\n    small a {\n      color: var(--pst-color-link);\n    }\n\n    input {\n      padding-left: 0.5rem;\n      border: 1px solid var(--pst-color-border);\n      background-color: var(--pst-color-surface);\n    }\n  }\n}\n","/**\n * Admonitions and blocks of styled content.\n * Admonitions CSS originally inspired by https://squidfunk.github.io/mkdocs-material/getting-started/\n */\n$admonition-border-radius: 0.25rem;\ndiv.admonition,\n.admonition {\n  margin: 1.5625em auto;\n  padding: 0 0.6rem 0.8rem 0.6rem;\n  overflow: hidden;\n  page-break-inside: avoid;\n  border-left: 0.2rem solid;\n  border-color: var(--pst-color-info);\n  border-radius: $admonition-border-radius;\n  background-color: var(--pst-color-on-background);\n  @include box-shadow();\n\n  // Last item should have no spacing since we'll control that w/ padding\n  *:last-child {\n    margin-bottom: 0;\n  }\n\n  // Items after the title should be indented\n  p.admonition-title ~ * {\n    margin-left: 1.4rem;\n    margin-right: 1.4rem;\n  }\n\n  // Lists need to have left margin so they don't spill into it\n  > ol,\n  > ul {\n    margin-left: 1em;\n  }\n\n  // Defaults for all admonitions\n  > .admonition-title {\n    margin: 0 -0.6rem;\n    padding: 0.4rem 0.6rem 0.4rem 2rem;\n    font-weight: var(--pst-admonition-font-weight-heading);\n    position: relative;\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-color-info-bg);\n    // now that we use solid colors we want the title on top\n    z-index: 1;\n\n    &:after {\n      position: absolute;\n      left: 0.5rem;\n      width: 1rem;\n      height: 1rem;\n      color: var(--pst-color-info);\n      font: var(--fa-font-solid);\n      line-height: inherit;\n      content: var(--pst-icon-admonition-default);\n      opacity: 1;\n    }\n\n    // Next element after title needs some extra upper-space\n    + * {\n      margin-top: 0.4em;\n    }\n  }\n\n  &.attention {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-attention);\n      }\n    }\n  }\n\n  &.caution {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-caution);\n      }\n    }\n  }\n\n  &.warning {\n    border-color: var(--pst-color-warning);\n    > .admonition-title {\n      background-color: var(--pst-color-warning-bg);\n\n      &:after {\n        color: var(--pst-color-warning);\n        content: var(--pst-icon-admonition-warning);\n      }\n    }\n  }\n\n  &.danger {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-danger);\n      }\n    }\n  }\n\n  &.error {\n    border-color: var(--pst-color-danger);\n    > .admonition-title {\n      background-color: var(--pst-color-danger-bg);\n\n      &:after {\n        color: var(--pst-color-danger);\n        content: var(--pst-icon-admonition-error);\n      }\n    }\n  }\n\n  &.hint {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-hint);\n      }\n    }\n  }\n\n  &.tip {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-tip);\n      }\n    }\n  }\n\n  &.important {\n    border-color: var(--pst-color-attention);\n    > .admonition-title {\n      background-color: var(--pst-color-attention-bg);\n\n      &:after {\n        color: var(--pst-color-attention);\n        content: var(--pst-icon-admonition-important);\n      }\n    }\n  }\n\n  &.note {\n    border-color: var(--pst-color-info);\n    > .admonition-title {\n      background-color: var(--pst-color-info-bg);\n\n      &:after {\n        color: var(--pst-color-info);\n        content: var(--pst-icon-admonition-note);\n      }\n    }\n  }\n\n  &.seealso {\n    border-color: var(--pst-color-success);\n    > .admonition-title {\n      background-color: var(--pst-color-success-bg);\n\n      &:after {\n        color: var(--pst-color-success);\n        content: var(--pst-icon-admonition-seealso);\n      }\n    }\n  }\n\n  &.admonition-todo {\n    border-color: var(--pst-color-secondary);\n    > .admonition-title {\n      background-color: var(--pst-color-secondary-bg);\n\n      &:after {\n        color: var(--pst-color-secondary);\n        content: var(--pst-icon-admonition-todo);\n      }\n    }\n  }\n\n  /**\n   * Special-case for a `sidebar` class that makes the admonition float to\n   * the right like the {sidebar} directive.\n   */\n  &.sidebar {\n    max-width: 40%;\n    float: right;\n    clear: both;\n    margin-left: 0.5rem;\n    margin-top: 0;\n\n    // Undo the .sidebar directive border\n    border-width: 0 0 0 0.2rem;\n\n    // TODO: these semantic-color-names border-color rules might no longer be\n    //       needed when we drop support for Sphinx 4 / docutils 0.17\n    &.attention,\n    &.important {\n      border-color: var(--pst-color-attention);\n    }\n\n    &.caution,\n    &.warning {\n      border-color: var(--pst-color-warning);\n    }\n\n    &.danger,\n    &.error {\n      border-color: var(--pst-color-danger);\n    }\n\n    &.hint,\n    &.tip,\n    &.seealso {\n      border-color: var(--pst-color-success);\n    }\n\n    &.note,\n    &.todo {\n      border-color: var(--pst-color-info);\n    }\n\n    // No inner margin since we have less horizontal space w/ the sidebar\n    p.admonition-title ~ * {\n      margin-left: 0rem;\n      margin-right: 0rem;\n    }\n  }\n}\n\n/**************************************************************\n * Similar content blocks that are not technically admonitions.\n */\n\n/**\n * Topics and the {contents} directive\n */\n// Docutils <= 0.17\ndiv.topic,\ndiv.topic.contents,\n// Docutils >= 0.18\nnav.contents,\naside.topic {\n  display: flex;\n  flex-direction: column;\n  background-color: var(--pst-color-surface);\n  border-color: var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  padding: 1rem 1.25rem;\n  @include box-shadow();\n\n  .topic-title {\n    margin: 0 0 0.5rem 0;\n  }\n\n  // Over-ride text color to ensure enough contrast\n  p {\n    color: var(--pst-color-on-surface) !important;\n  }\n\n  // Over-ride large default padding\n  ul.simple {\n    padding-left: 1rem;\n\n    ul {\n      // So that sub-lists will have a bit less padding\n      padding-left: 2em;\n    }\n  }\n}\n\n/**\n * Sidebar directive\n */\naside.sidebar {\n  border: 1px solid var(--pst-color-border);\n  background-color: var(--pst-color-surface);\n  border-radius: $admonition-border-radius;\n  // to match the admonition-styled sidebars:\n  margin-left: 0.5rem;\n  padding: 0;\n  > *:last-child {\n    padding-bottom: 1rem;\n  }\n\n  p.sidebar-title {\n    position: relative;\n    margin-bottom: 0;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n    border-bottom: 1px solid var(--pst-color-border);\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-admonition-font-weight-heading);\n  }\n\n  // Add margin to the first non-`.sidebar-title` item\n  > *:not(.sidebar-title):first-child,\n  > p.sidebar-title + * {\n    margin-top: 1rem;\n  }\n\n  > * {\n    padding-left: 1rem;\n    padding-right: 1rem;\n  }\n}\n\n/**\n * Rubrics look kind of like section headers\n */\np.rubric {\n  display: flex;\n  flex-direction: column;\n}\n\n/**\n * Seealso is kind of like a vertically-collapsed admonition\n */\n.seealso dd {\n  margin-top: 0;\n  margin-bottom: 0;\n}\n","/**\n * Miscellaneous color functions and mixins\n**/\n\n// loading the math module\n@use \"sass:math\";\n\n// We must add ::before pseudo-element to some theme components (such as admonitions)\n// because users were instructed to customize the background color this way.\n@mixin legacy-backdrop-placeholder {\n  &:before {\n    content: \"\";\n    width: 100%;\n    height: 100%;\n    position: absolute;\n    left: 0;\n    top: 0;\n    z-index: -1;\n    // So that hovering over the text within background is still possible.\n    // Otherwise the background overlays the text and you cannot click or select easily.\n    // ref: https://developer.mozilla.org/en-US/docs/Web/CSS/pointer-events\n    pointer-events: none;\n  }\n}\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetc\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/**\n  * Function to check if the color needs converting to a \"color\" type\n  * if it is a string we cannot use other color manipulation functions\n  * It is used to create the sphinx-design colours as these are often interpolated\n  */\n// @param {String/Color} $color - Color definition from map\n// @return {Color} - Color type (in hex)\n@function check-color($color) {\n  @if type-of($color) == string {\n    $color: from-hex($color);\n  }\n  @return $color;\n}\n\n/**\n  * Function to convert the string representation of a color to a color type (hex)\n  */\n// @param {String} $string - String representation of a color\n@function from-hex($string) {\n  $string-lower: to-lower-case($string);\n  $r: \"\";\n  $g: \"\";\n  $b: \"\";\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $length: str-length($string);\n  $max: if($length == 4, 1, 2);\n\n  // Check for length accuracy\n  @if $length != 4 and $length != 7 {\n    @return $string;\n  }\n\n  // Loop from the second character (omitting #)\n  @for $i from 2 through $length {\n    $c: str-slice($string-lower, $i, $i);\n\n    // If wrong character, return\n    @if index($hex, $c) == null {\n      @return $string;\n    }\n\n    @if str-length($r) < $max {\n      $r: $r + $c;\n    } @else if str-length($g) < $max {\n      $g: $g + $c;\n    } @else if str-length($b) < $max {\n      $b: $b + $c;\n    }\n  }\n\n  @if $length == 4 {\n    $r: $r + $r;\n    $g: $g + $g;\n    $b: $b + $b;\n  }\n\n  @return rgb(_hex-to-dec($r), _hex-to-dec($g), _hex-to-dec($b));\n}\n\n@function _hex-to-dec($string) {\n  $hex: \"0\" \"1\" \"2\" \"3\" \"4\" \"5\" \"6\" \"7\" \"8\" \"9\" \"a\" \"b\" \"c\" \"d\" \"e\" \"f\";\n  $string: to-lower-case($string);\n  $length: str-length($string);\n\n  $dec: 0;\n  @for $i from 1 through $length {\n    $factor: 1 + (15 * ($length - $i));\n    $index: index($hex, str-slice($string, $i, $i));\n    $dec: $dec + $factor * ($index - 1);\n  }\n\n  @return $dec;\n}\n","// Style API docs from sphinx' autodoc / autosummary\n\n/*******************************************************************************\n* Styling for field lists\n*/\n\n/* grey highlighting of 'parameter' and 'returns' field */\ntable.field-list {\n  border-collapse: separate;\n  border-spacing: 10px;\n  margin-left: 1px;\n\n  th.field-name {\n    padding: 1px 8px 1px 5px;\n    white-space: nowrap;\n    background-color: var(--pst-color-surface);\n  }\n\n  /* italic font for parameter types */\n  td.field-body {\n    p {\n      font-style: italic;\n\n      > strong {\n        font-style: normal;\n      }\n    }\n\n    /* reduced space around parameter description */\n    blockquote {\n      border-left: none;\n      margin: 0em 0em 0.3em;\n      padding-left: 30px;\n    }\n  }\n}\n\n/*******************************************************************************\n* Styling for autosummary tables\n*/\n\n.table.autosummary {\n  // The first column (with the signature) should not wrap\n  td:first-child {\n    white-space: nowrap;\n  }\n}\n\n/* overriding basic.css to use our own monospace font */\n.sig {\n  font-family: var(--pst-font-family-monospace);\n}\n\n/* C++ specific styling - overriding the basic.css to avoid custom colors*/\n\n.sig-inline.c-texpr,\n.sig-inline.cpp-texpr {\n  font-family: unset;\n}\n\n.sig.c .k,\n.sig.c .kt,\n.sig.cpp .k,\n.sig.cpp .kt {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .m,\n.sig.cpp .m {\n  color: var(--pst-color-text-base);\n}\n\n.sig.c .s,\n.sig.c .sc,\n.sig.cpp .s,\n.sig.cpp .sc {\n  color: var(--pst-color-text-base);\n}\n\n// addition\n\n// .sig.c .sig-name .n,\n// .sig.cpp .sig-name .n {\n//   color: var(--pst-color-inline-code);\n// }\n\n.sig-name {\n  color: var(--pst-color-inline-code);\n}\n\n.sig-param .o,\n.sig-param .default_value {\n  color: var(--pst-color-text-muted);\n  font-weight: normal;\n}\n\n// change target color for dark theme\ndt:target,\nspan.highlighted {\n  background-color: var(--pst-color-target);\n}\n\n.viewcode-back {\n  font-family: var(--pst-font-family-base);\n}\n\n.viewcode-block:target {\n  border-top: 1px solid var(--pst-color-border);\n  border-bottom: 1px solid var(--pst-color-border);\n  position: relative;\n  background-color: var(--pst-color-target);\n}\n\n/*******************************************************************************\n* Styling for autosummary titles like \"parameters\" and \"returns\"\n*/\n\n// the API selector\n// from https://github.com/pradyunsg/furo/blob/main/src/furo/assets/styles/content/_api.sass#L6)\ndl[class]:not(.option-list):not(.field-list):not(.footnote):not(.glossary):not(.simple) {\n  //increase margin bottom after the dl elements\n  margin-bottom: 3rem;\n\n  dd {\n    margin-left: 2rem;\n\n    // Fix until this will be solved to Sphinx https://github.com/sphinx-doc/sphinx/issues/10815\n    & > dl.simple > dt {\n      display: flex;\n    }\n  }\n\n  dl.field-list {\n    display: grid;\n    grid-template-columns: unset;\n  }\n\n  dt.field-odd,\n  dt.field-even {\n    margin-top: 0.2rem;\n    margin-bottom: 0.1rem;\n    background-color: var(--pst-color-surface);\n  }\n}\n","/**\n * Code block styling\n * Note that we inherit a lot of styling from Bootstrap so not many rules here.\n */\n\n// General code block behavior\n// Unset bootstrap behavior\ndiv[class*=\"highlight-\"],\ndiv.highlight,\ndiv.literal-block-wrapper {\n  display: flex;\n  flex-direction: column;\n  width: unset;\n  border-radius: $admonition-border-radius;\n}\n\n// Code blocks with captions\n// There's a wrapper when the code block has a title\ndiv.literal-block-wrapper {\n  border: 1px solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n\n  // This is where the title goes\n  div.code-block-caption {\n    margin: 0;\n    border-bottom: 1px solid var(--pst-color-border);\n    padding: 0.5rem;\n    font-size: 1rem;\n    font-weight: var(--pst-font-weight-caption);\n\n    a.headerlink {\n      font-size: inherit;\n    }\n  }\n\n  // Remove the upper border radius since we want it to connect with the title\n  // Remove the box shadow so the wrapper gets the shadow instead\n  div[class*=\"highlight-\"] {\n    margin: 0;\n    border-radius: 0;\n    pre {\n      border: none;\n      box-shadow: none;\n    }\n  }\n}\n\n/**\n * In-line code\n */\ncode.literal {\n  padding: 0.1rem 0.25rem;\n  background-color: var(--pst-color-surface);\n  border: 1px solid var(--pst-color-border);\n  border-radius: 0.25rem;\n}\n\na > code {\n  color: var(--pst-color-inline-code-links);\n}\n\n// Fix for Sphinx's \"highlight\" directive - this is an issue with our accessible pygments theme\n// and the colour we are using for the background of the code blocks.\nhtml[data-theme=\"light\"] .highlight .nf {\n  color: #0078a1 !important;\n}\n\n// Minimum opacity needed for linenos to be WCAG AA conformant\nspan.linenos {\n  opacity: 0.8 !important;\n}\n","figure {\n  a.headerlink {\n    // So that header link doesn't push caption to be off-center.\n    position: absolute;\n    font-size: inherit;\n  }\n  // Default headerlink hover doesn't trigger on figures\n  &:hover a.headerlink {\n    visibility: visible;\n  }\n\n  figcaption {\n    font-family: var(--pst-font-family-heading);\n    font-weight: var(--pst-font-weight-caption);\n    color: var(--pst-color-text-muted);\n    margin-left: auto;\n    margin-right: auto;\n\n    table.table {\n      width: fit-content;\n      margin-left: auto;\n      margin-right: auto;\n    }\n  }\n}\n","// For consistency, add bracket around footnotes/citations which are\n// cited more than once. E.g. [Newton](1,2) instead of Newton(1,2)\ndt.label > span.brackets:not(:only-child):before {\n  content: \"[\";\n}\n\ndt.label > span.brackets:not(:only-child):after {\n  content: \"]\";\n}\n\n// Make footnote as a superscript\na.footnote-reference {\n  vertical-align: super;\n  font-size: small;\n}\n\n// Docutils 0.18 uses an `aside.footnote` container with different internal structure\naside.footnote {\n  margin-bottom: 0.5rem;\n  &:last-child {\n    margin-bottom: 1rem;\n  }\n  span.label,\n  span.backrefs {\n    font-weight: bold;\n  }\n\n  &:target {\n    background-color: var(--pst-color-target);\n  }\n}\n","/**\n * Hacky fixes that don't fit cleanly into other sections\n */\n\n// Ensure user highlighting/selecting behaves properly\n// From https://stackoverflow.com/a/34372191\ntable.highlighttable td.linenos,\nspan.linenos,\ndiv.doctest > div.highlight span.gp {\n  /* gp: Generic.Prompt */\n  user-select: none;\n  -webkit-user-select: text; /* Safari fallback only */\n  -webkit-user-select: none; /* Chrome/Safari */\n  -moz-user-select: none; /* Firefox */\n  -ms-user-select: none; /* IE10+ */\n}\n","// Override bootstrap by restoring the basic theme default.\ndd {\n  margin-top: 3px;\n  margin-bottom: 10px;\n  margin-left: 30px;\n}\n\nol,\nul {\n  padding-inline-start: 2rem;\n  li > p:first-child {\n    margin-bottom: 0.25rem;\n    margin-top: 0.25rem;\n  }\n}\n","// GitHub blockquote style\nblockquote {\n  padding: 1em 1em;\n  color: var(--pst-color-text-muted);\n  border-left: 0.25em solid var(--pst-color-border);\n  border-radius: $admonition-border-radius;\n  position: relative;\n\n  p {\n    color: var(--pst-color-text-base);\n  }\n\n  // remove padding from included line-block to avoid duplication\n  .line-block {\n    margin: 0 0;\n  }\n\n  // remove margin bottom for the last p\n  p:last-child {\n    margin-bottom: 0;\n  }\n\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-surface);\n\n  //hack to make the text in the blockquote selectable\n  &:before {\n    z-index: -1;\n  }\n}\n","/**\n * Span-level styling within content\n */\n\nspan.guilabel {\n  border: 1px solid var(--pst-color-info);\n  color: var(--pst-color-info);\n  font-size: 80%;\n  font-weight: 700;\n  border-radius: 4px;\n  padding: 2.4px 6px;\n  margin: auto 2px;\n  position: relative;\n  @include legacy-backdrop-placeholder;\n  background-color: var(--pst-color-info-bg);\n}\n\na.reference.download:before {\n  content: var(--pst-icon-download);\n  font: var(--fa-font-solid);\n  font-size: 0.8em;\n  padding: 0 0.25em;\n  color: var(--pst-color-text-muted);\n}\n","/**\n * Tables\n */\n\n// ensure table will fit in the article width and make them y-scrollable\ntable {\n  display: table;\n  overflow: auto;\n\n  // default to table-center\n  margin-left: auto;\n  margin-right: auto;\n\n  &.table-right {\n    margin-right: 0;\n  }\n\n  &.table-left {\n    margin-left: 0;\n  }\n}\n\n// customize table caption from bootstrap\n// to display them on top and centered\ntable caption {\n  text-align: center;\n  caption-side: top;\n  color: var(--pst-color-text-muted);\n}\n\n// MyST Markdown tables use these classes to control alignment\nth,\ntd {\n  &.text-align\\:left {\n    text-align: left;\n  }\n\n  &.text-align\\:right {\n    text-align: right;\n  }\n\n  &.text-align\\:center {\n    text-align: center;\n  }\n}\n\n// override bootstrap background colors\n.table {\n  --bs-table-bg: transparent;\n}\n","/**\n * Style the toctree component in pages (avoid modifying the navbars)\n */\n.toctree-wrapper {\n  p.caption {\n    font-size: 1.5em;\n    margin-bottom: 0em;\n  }\n\n  & > ul {\n    padding-left: 0;\n  }\n\n  li[class^=\"toctree-l\"] {\n    list-style: none;\n    margin-bottom: 0.2em;\n\n    & > a {\n      list-style: none;\n      font-size: 1.1em;\n    }\n\n    & > ul {\n      list-style: none;\n      padding-inline-start: 1.5em;\n    }\n  }\n\n  // slightly bigger font for l1\n  .toctree-l1 > a {\n    font-size: 1.3em;\n  }\n}\n\ndiv.topic.contents,  // Docutils <= 0.17\nnav.contents  // Docutils >= 0.18\n{\n  // Style similarly to toctree\n  ul.simple {\n    list-style: none;\n    padding-left: 0;\n  }\n}\n","/**\n * Mathematics via MathJax.\n *\n * This is designed for MathJax v3\n * ref: https://www.sphinx-doc.org/en/master/usage/extensions/math.html#module-sphinx.ext.mathjax\n */\n\n// Applies to all math elements\nspan.math,\ndiv.math {\n  align-items: center;\n  display: flex;\n  max-width: 100%;\n  // This will be over-ridden for the y-direction and divs\n  overflow: hidden;\n}\n\n// Inline-only\nspan.math {\n  display: inline-flex;\n}\n\n// Block-level only\ndiv.math {\n  gap: 0.5em;\n  // So that the eqno shows up after the equation\n  flex-direction: row-reverse;\n\n  // The equation number / link\n  span.eqno a.headerlink {\n    position: relative;\n    font-size: 1em;\n  }\n\n  // The math container\n  mjx-container {\n    flex-grow: 1;\n    padding-bottom: 0.2rem;\n    overflow: auto;\n\n    // Set height to 0 so that it does not cause scrollbars to appear\n    // ref: https://github.com/mathjax/MathJax/issues/2521\n    mjx-assistive-mml {\n      height: 0;\n    }\n  }\n}\n","/**\n * ABlog\n * ref: https://ablog.readthedocs.io/\n */\n\n/**\n * Sidebar template components\n */\n.ablog-sidebar-item {\n  h2,\n  h3 {\n    font-size: var(--pst-sidebar-header-font-size);\n    // Remove unnecessary vertical whitespace\n    margin-top: 0.5rem;\n\n    // The headers are all links, but this makes them hard to parse\n    // So we change the colors to make them look like headers\n    a {\n      color: var(--pst-color-text-base);\n    }\n  }\n\n  ul {\n    // No bullet points for the primary sidebar items\n    list-style: none;\n    padding-left: 0;\n    // Otherwise a scrollbar randomly shows up\n    overflow-y: hidden;\n    // List of recent post items\n    display: flex;\n    flex-direction: column;\n    gap: 0.5em;\n    margin-bottom: 0;\n\n    // The ablog cloud should move horizontally\n    &.ablog-cloud {\n      flex-direction: row;\n      flex-flow: wrap;\n      gap: 0.5rem;\n\n      // Vertical-align tag clouds\n      li {\n        // Center the tag cloud items\n        display: flex;\n        align-items: center;\n      }\n    }\n  }\n}\n\n/**\n * Previous / next buttons at the bottom\n */\n.ablog__prev-next {\n  font-size: 1.2em;\n  display: flex;\n  padding: 1rem 0;\n\n  // The bottom previous / next arrows\n  > span {\n    // To ensure that the whole thing fits on one line even if there are long titles\n    display: flex;\n    max-width: 45%;\n\n    // Links within each span have the collection of icon + text\n    a {\n      display: flex;\n      align-items: center;\n      margin-left: auto;\n      gap: 1rem;\n      line-height: 1.5rem;\n\n      i:before {\n        color: var(--pst-color-text-base);\n      }\n    }\n  }\n\n  // The first span is for the previous page and aligns to the left\n  span.ablog__prev {\n    i.fa-arrow-circle-left:before {\n      content: var(--pst-icon-angle-left);\n    }\n  }\n\n  // The second span is just an empty space so we remove it because we're\n  // positioning with flex\n  span.ablog__spacer {\n    display: none;\n  }\n\n  // The third span is aligned to the right\n  span.ablog__next {\n    margin-left: auto;\n    text-align: right;\n\n    i.fa-arrow-circle-right:before {\n      content: var(--pst-icon-angle-right);\n    }\n  }\n}\n\n/**\n * {postlist} directive and posts page\n */\n.ablog__collection,\n.postlist {\n  padding-left: 0;\n\n  .ablog-post {\n    list-style: none;\n\n    // Post metadata tags (author, links ,etc) should be a bit smaller\n    .ablog-archive {\n      display: flex;\n      flex-direction: row;\n      flex-wrap: wrap;\n      gap: 1rem;\n      list-style: none;\n      font-size: 0.75rem;\n      padding-left: 0;\n    }\n\n    // Title line should be a bit bigger and bold to stand out\n    .ablog-post-title {\n      margin-top: 0;\n      font-size: 1.25rem;\n\n      a {\n        font-weight: bold;\n      }\n    }\n\n    // Read more button should be a bit bigger\n    .ablog-post-expand {\n      margin-bottom: 0.5rem;\n    }\n  }\n}\n","/**\n * Special cases for Bootstrap functionality\n */\n\n// Bootstrap adds margin to their general container class. However, sphinx/docutils\n// can also generate output with the container class, but in those cases we should\n// not add the margin from bootstrap. Same for max-width.\n.docutils.container {\n  padding-left: unset;\n  padding-right: unset;\n  margin-left: unset;\n  margin-right: unset;\n  max-width: unset;\n  width: unset;\n}\n","/**\n * Sphinx Copybutton\n * ref: https://sphinx-copybutton.readthedocs.io/\n */\n\ndiv.highlight button.copybtn {\n  // Nicer spacing\n  display: flex;\n  align-items: center;\n  justify-content: center;\n\n  // Removes the button background so we more naturally blend with the code cell.\n  background-color: unset;\n\n  // Don't over-ride the success color\n  &:not(.success) {\n    color: var(--pst-color-muted);\n  }\n  border: none;\n  background-color: var(--pst-color-surface);\n\n  &:hover {\n    &:not(.success) {\n      color: var(--pst-color-text);\n      background-color: var(--pst-color-shadow);\n    }\n  }\n\n  // Tooltip styling\n  &.o-tooltip--left:after {\n    color: var(--pst-color-text);\n    background-color: var(--pst-color-surface);\n  }\n}\n","// adapt ethical ad to the theme\n#ethical-ad-placement {\n  .ethical-sidebar a,\n  .ethical-sidebar a:visited,\n  .ethical-sidebar a:hover,\n  .ethical-sidebar a:active,\n  .ethical-footer a,\n  .ethical-footer a:visited,\n  .ethical-footer a:hover,\n  .ethical-footer a:active {\n    color: var(--pst-color-text-base);\n  }\n\n  .ethical-sidebar,\n  .ethical-footer {\n    background-color: var(--pst-color-background);\n    border: 1px solid var(--pst-color-border);\n    border-radius: 5px;\n    color: var(--pst-color-text-base);\n    font-size: 14px;\n    line-height: 20px;\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/******************************************************************************\n * Jupyter Sphinx\n */\n\n.bd-content div.jupyter_container {\n  // We don't want borders around the whole container, just around code cells\n  border: none;\n  background-color: unset;\n  box-shadow: none;\n\n  // Code cells should have the same style as our other code objects\n  div.output,\n  div.highlight {\n    border-radius: 0.25rem;\n  }\n  div.highlight {\n    background-color: var(--pst-color-surface);\n  }\n\n  // Ensure the style is the same as our code cells. Jupyter Sphinx makes it tiny.\n  .cell_input,\n  .cell_output {\n    border-radius: 0.25rem;\n    pre {\n      padding: 1rem;\n    }\n  }\n}\n","/**\n * Special-cases for packages in the PyData ecosystem\n */\n\n// xarray output display in bootstrap\n.xr-wrap[hidden] {\n  display: block !important;\n}\n","/*******************************************************************************\n* master color map. Only the colors that actually differ between light and dark\n* themes are specified separately.\n*\n* To see the full list of colors see https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1234%3A765&t=ifcFT1JtnrSshGfi-1\n*/\n\n/**\n* Function to get items from nested maps\n*/\n// @param {Map} $map - Map\n// @param {Arglist} $keys - Keys to fetch\n// @return {*}\n@function map-deep-get($map, $keys...) {\n  @each $key in $keys {\n    $map: map-get($map, $key);\n  }\n  @return $map;\n}\n\n/* Assign base colors for the PyData theme */\n$color-palette: (\n  // Primary color\n  \"teal\":\n    (\n      \"50\": #f4fbfc,\n      \"100\": #e9f6f8,\n      \"200\": #d0ecf1,\n      \"300\": #abdde6,\n      \"400\": #3fb1c5,\n      \"500\": #0a7d91,\n      \"600\": #085d6c,\n      \"700\": #064752,\n      \"800\": #042c33,\n      \"900\": #021b1f,\n    ),\n  // Secondary color\n  \"violet\":\n    (\n      \"50\": #f4eefb,\n      \"100\": #e0c7ff,\n      \"200\": #d5b4fd,\n      \"300\": #b780ff,\n      \"400\": #9c5ffd,\n      \"500\": #8045e5,\n      \"600\": #6432bd,\n      \"700\": #4b258f,\n      \"800\": #341a61,\n      \"900\": #1e0e39,\n    ),\n  // Neutrals\n  \"gray\":\n    (\n      \"50\": #f9f9fa,\n      \"100\": #f3f4f5,\n      \"200\": #e5e7ea,\n      \"300\": #d1d5da,\n      \"400\": #9ca4af,\n      \"500\": #677384,\n      \"600\": #48566b,\n      \"700\": #29313d,\n      \"800\": #222832,\n      \"900\": #14181e,\n    ),\n  // Accent color\n  \"pink\":\n    (\n      \"50\": #fcf8fd,\n      \"100\": #fcf0fa,\n      \"200\": #f8dff5,\n      \"300\": #f3c7ee,\n      \"400\": #e47fd7,\n      \"500\": #c132af,\n      \"600\": #912583,\n      \"700\": #6e1c64,\n      \"800\": #46123f,\n      \"900\": #2b0b27,\n    ),\n  \"foundation\": (\n    \"white\": #ffffff,\n    // gray-900\n    \"black\": #14181e,\n  )\n);\n\n:root {\n  // Add theme colours to the html root element\n  @each $group-color, $color in $color-palette {\n    @each $color-name, $definition in $color {\n      --pst-#{$group-color}-#{$color-name}: #{$definition};\n    }\n  }\n}\n\n// Static SCSS variables used thoroughout the theme\n// Minimum contrast ratio used for the theme.\n// Acceptable values for WCAG 2.0 are 3, 4.5 and 7.\n// See https://www.w3.org/TR/WCAG20/#visual-audio-contrast-contrast\n// 4.5 - is for text that is 14pt or less\n$min-contrast-ratio-4: 4.5;\n// 3 is for text that is 18pt or bold, or for non-text elements\n$min-contrast-ratio-3: 3;\n\n// Customize the light and dark text colors for use in our color contrast function.\n$foundation-black: #14181e;\n$foundation-white: #ffffff;\n// This is a custom - calculated  color between gray 100 and 200 - to reduce\n// the contrast ratio (avoid a jarring effect)\n$base-light-text: #ced6dd;\n// used in sphinx_design - gray 100\n$foundation-light-gray: #f3f4f5;\n// used in sphinx_design - gray 700\n$foundation-muted-gray: #29313d;\n// used in sphinx_design - gray 800\n$foundation-dark-gray: #222832;\n\n$pst-semantic-colors: (\n  \"primary\": (\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"teal\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"teal\", \"800\")},\n  ),\n  \"secondary\": (\n    \"light\": #{map-deep-get($color-palette, \"violet\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"violet\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"violet\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"violet\", \"800\")},\n  ),\n  \"accent\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"500\")},\n    \"bg-light\": #{map-deep-get($color-palette, \"pink\", \"200\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"400\")},\n    \"bg-dark\": #{map-deep-get($color-palette, \"pink\", \"800\")},\n  ),\n  \"info\": (\n    \"light\": #276be9,\n    \"bg-light\": #dce7fc,\n    \"dark\": #79a3f2,\n    \"bg-dark\": #06245d,\n  ),\n  \"warning\": (\n    \"light\": #f66a0a,\n    \"bg-light\": #f8e3d0,\n    \"dark\": #ff9245,\n    \"bg-dark\": #652a02,\n  ),\n  \"success\": (\n    \"light\": #00843f,\n    \"bg-light\": #d6ece1,\n    \"dark\": #5fb488,\n    \"bg-dark\": #002f17,\n  ),\n  // This is is based on the warning color\n  \"attention\":\n    (\n      \"light\": var(--pst-color-warning),\n      \"bg-light\": var(--pst-color-warning-bg),\n      \"dark\": var(--pst-color-warning),\n      \"bg-dark\": var(--pst-color-warning-bg),\n    ),\n  \"danger\": (\n    \"light\": #d72d47,\n    \"bg-light\": #f9e1e4,\n    \"dark\": #e78894,\n    \"bg-dark\": #4e111b,\n  ),\n  \"text-base\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    \"dark\": $base-light-text,\n  ),\n  \"text-muted\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"400\")},\n  ),\n  \"heading-color\": (\n    \"light\": #{$foundation-white},\n    \"dark\": #{$foundation-black},\n  ),\n  \"shadow\": (\n    \"light\": rgba(0, 0, 0, 0.1),\n    \"dark\": rgba(0, 0, 0, 0.2),\n  ),\n  \"border\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"300\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"600\")},\n  ),\n  \"border-muted\": (\n    \"light\": rgba(23, 23, 26, 0.2),\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  \"inline-code\": (\n    \"light\": #{map-deep-get($color-palette, \"pink\", \"600\")},\n    \"dark\": #{map-deep-get($color-palette, \"pink\", \"300\")},\n  ),\n  \"inline-code-links\": (\n    // need to make sure there is enough contrast against the code bg\n    \"light\": #{map-deep-get($color-palette, \"teal\", \"600\")},\n    // keep primary color for dark mode\n    \"dark\": #{map-deep-get($color-palette, \"teal\", \"400\")},\n  ),\n  \"target\": (\n    \"light\": #f3cf95,\n    \"dark\": #675c04,\n  ),\n  // DEPTH COLORS - you can see the elevation colours and shades\n  // in the Figma file https://www.figma.com/file/rUrrHGhUBBIAAjQ82x6pz9/PyData-Design-system---proposal-for-implementation-(2)?node-id=1492%3A922&t=sQeQZehkOzposYEg-1\n  // background: color of the canvas / the furthest back layer\n  \"background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"foundation\", \"black\")},\n    ),\n  // on-background: provides slight contrast against background\n  // (by use of shadows in light theme)\n  \"on-background\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"foundation\", \"white\")},\n      \"dark\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n    ),\n  \"surface\": (\n    \"light\": #{map-deep-get($color-palette, \"gray\", \"100\")},\n    \"dark\": #{map-deep-get($color-palette, \"gray\", \"700\")},\n  ),\n  // on_surface: object on top of surface object (without shadows)\n  \"on-surface\":\n    (\n      \"light\": #{map-deep-get($color-palette, \"gray\", \"800\")},\n      \"dark\": $foundation-light-gray,\n    ),\n);\n\n/*******************************************************************************\n* write the color rules for each theme (light/dark)\n*/\n\n/* NOTE:\n * Mixins enable us to reuse the same definitions for the different modes\n * https://sass-lang.com/documentation/at-rules/mixin\n * #{something} inserts a variable into a CSS selector or property name\n * https://sass-lang.com/documentation/interpolation\n */\n@mixin theme-colors($mode) {\n  // check if this color is defined differently for light/dark\n  @each $col-name, $definition in $pst-semantic-colors {\n    @if type-of($definition) == map {\n      @each $key, $val in $definition {\n        @if str-index($key, $mode) != null {\n          // since now we define the bg colours in the semantic colours and not\n          // by changing opacity, we need to check if the key contains bg and the\n          // correct mode (light/dark)\n          @if str-index($key, \"bg\") != null {\n            --pst-color-#{$col-name}-bg: #{$val};\n          } @else {\n            --pst-color-#{$col-name}: #{$val};\n          }\n        }\n      }\n    } @else {\n      --pst-color-#{$col-name}: #{$definition};\n    }\n  }\n\n  // assign the \"duplicate\" colors (ones that just reference other variables)\n  & {\n    --pst-color-link: var(--pst-color-primary);\n    --pst-color-link-hover: var(--pst-color-secondary);\n  }\n  // adapt to light/dark-specific content\n  @if $mode == \"light\" {\n    .only-dark,\n    .only-dark ~ figcaption {\n      display: none !important;\n    }\n  } @else {\n    .only-light,\n    .only-light ~ figcaption {\n      display: none !important;\n    }\n    /* Adjust images in dark mode (unless they have class .only-dark or\n     * .dark-light, in which case assume they're already optimized for dark\n     * mode).\n     */\n    img:not(.only-dark):not(.dark-light) {\n      filter: brightness(0.8) contrast(1.2);\n    }\n    /* Give images a light background in dark mode in case they have\n    *  transparency and black text (unless they have class .only-dark or .dark-light, in\n    *  which case assume they're already optimized for dark mode).\n    */\n    .bd-content img:not(.only-dark):not(.dark-light) {\n      background: rgb(255, 255, 255);\n      border-radius: 0.25rem;\n    }\n    // MathJax SVG outputs should be filled to same color as text.\n    .MathJax_SVG * {\n      fill: var(--pst-color-text-base);\n    }\n  }\n}\n\n/* Defaults to light mode if data-theme is not set */\nhtml:not([data-theme]) {\n  @include theme-colors(\"light\");\n}\n\n/* NOTE: @each {...} is like a for-loop\n * https://sass-lang.com/documentation/at-rules/control/each\n */\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    @include theme-colors($mode);\n    color-scheme: $mode;\n  }\n}\n\n// assign classes too, for runtime use of theme colors\n@each $col-name, $definition in $pst-semantic-colors {\n  .pst-color-#{$col-name} {\n    color: var(--pst-color-#{$col-name});\n  }\n}\n","/*******************************************************************************\n * Special-cases for the sphinx-design library, mainly to make it compatible\n * with the dark/light themes of pydata-sphinx-theme.\n *\n * NOTE: sphinx-design uses !important quite liberally, so here we must do the\n * same for our overrides to have any effect.\n */\n@use \"../variables/color\" as pst-color;\n@use \"sass:meta\";\n@use \"sass:color\";\n\n/*******************************************************************************\n  * Color and variables\n  *\n  * This is a list of the semantic color names from sphinx-design (we only\n  * need to override variables that sphinx-design has actually defined).\n  * https://github.com/executablebooks/sphinx-design/blob/9226a12a/style/_colors.scss#L31-L43\n  */\n$sd-semantic-color-names: (\n  \"primary\",\n  \"secondary\",\n  \"success\",\n  \"info\",\n  \"warning\",\n  \"danger\",\n  \"light\",\n  \"muted\",\n  \"dark\",\n  \"black\",\n  \"white\"\n);\n\n/**\n  * Here we create some extra --pst-color-* variables and use\n  * them to override the value of the corresponding sphinx-design variables.\n  * This is easier than re-writing the sphinx-design rules. Even easier would be\n  * directly assigning our values to the --sd-color-* variables, but then our\n  * downstream users couldn't override *our* colors and have it affect buttons\n  * and badges.\n  *\n  * First, define the extra keys needed to cover the full range of semantic\n  * color names used in sphinx-design, then merge them with the names we\n  * already define for our own needs.\n  * see https://sphinx-design.readthedocs.io/en/latest/css_variables.html\n  */\n$extra-semantic-colors: (\n  \"white\": $foundation-white,\n  \"light\": (\n    light: $foundation-light-gray,\n    bg-light: color.scale($foundation-light-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-light-gray, $lightness: -30%),\n  ),\n  \"muted\": (\n    light: $foundation-muted-gray,\n    bg-light: color.scale($foundation-muted-gray, $lightness: 30%),\n    dark: $foundation-light-gray,\n    bg-dark: color.scale($foundation-muted-gray, $lightness: -30%),\n  ),\n  \"dark\": $foundation-dark-gray,\n  \"black\": $foundation-black,\n);\n\n$all-colors: map-merge($pst-semantic-colors, $extra-semantic-colors);\n\n@mixin create-sd-colors($value, $name) {\n  // define the pst variables, so that downstream user overrides will work\n  --pst-color-#{$name}: #{$value};\n  // we are now using a11y-combination to calculate the text color - this is based\n  // on the WCAG color contrast guidelines\n  --pst-color-#{$name}-text: #{a11y-combination($value)};\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --pst-color-#{$name}-highlight: #{darken($value, 15%)};\n  // override the sphinx-design variables\n  --sd-color-#{$name}: var(--pst-color-#{$name});\n  --sd-color-#{$name}-text: var(--pst-color-#{$name}-text);\n  //TODO: highlight seems to be used for buttons @trallard to fix on a11y follow-up work\n  --sd-color-#{$name}-highlight: var(--pst-color-#{$name}-highlight);\n}\n\n// Now we override the --sd-color-* variables.\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    // check if this color is defined differently for light/dark\n    @each $name in $sd-semantic-color-names {\n      $definition: map-get($all-colors, $name);\n      @if type-of($definition) == map {\n        @each $key, $value in $definition {\n          @if str-index($key, $mode) != null {\n            // since now we define the bg colours in the semantic colours and not\n            // by changing opacity, we need to check if the key contains bg and the\n            // correct mode (light/dark)\n            @if str-index($key, \"bg\") != null {\n              --sd-color-#{$name}-bg: #{$value};\n              // create local variable\n              $bg-var: --sd-color-#{$name}-bg;\n              $value: check-color($value);\n              --sd-color-#{$name}-bg-text: #{a11y-combination($value)};\n            } @else {\n              $value: check-color($value);\n              @include create-sd-colors($value, $name);\n            }\n          }\n        }\n      } @else {\n        $value: map-get($all-colors, $name);\n        @include create-sd-colors($value, $name);\n      }\n    }\n  }\n}\n\n// Make sure the color border variables are set using our variables\n@each $mode in (light, dark) {\n  html[data-theme=\"#{$mode}\"] {\n    --sd-color-card-border: var(--pst-color-border);\n  }\n}\n\n/*******************************************************************************\n  * shadows\n  */\nhtml[data-theme=\"light\"] {\n  .sd-shadow-xs,\n  .sd-shadow-sm,\n  .sd-shadow-md,\n  .sd-shadow-lg {\n    @include box-shadow();\n  }\n}\n\n/*******************************************************************************\n  * cards\n  */\n\n.bd-content .sd-card {\n  border: 1px solid var(--pst-color-border);\n\n  // TODO - --pst-color-panel-background is not defined... where is this coming from?\n  .sd-card-header {\n    background-color: var(--pst-color-panel-background);\n    border-bottom: 1px solid var(--pst-color-border);\n  }\n  .sd-card-footer {\n    background-color: var(--pst-color-panel-background);\n    border-top: 1px solid var(--pst-color-border);\n  }\n\n  .sd-card-body {\n    background-color: var(--pst-color-panel-background);\n  }\n}\n/*******************************************************************************\n  * tabs\n  */\n\n.bd-content .sd-tab-set {\n  > input {\n    // Active tab label\n    &:checked + label {\n      border-color: transparent transparent var(--pst-color-primary); // top LR bottom\n      color: var(--pst-color-primary);\n    }\n\n    // Hover label\n    &:not(:checked) + label:hover {\n      border-color: var(--pst-color-secondary);\n      color: var(--pst-color-secondary);\n    }\n  }\n\n  // Tab label\n  > label {\n    color: var(--pst-color-text-muted);\n    border-top: 0.125rem solid transparent; // so hover isn't just color change\n    padding-top: 0.5em; // same as bottom padding, so hover overline looks OK\n    // Hovered label\n    html &:hover {\n      color: var(--pst-color-secondary);\n      border-color: var(--pst-color-secondary);\n    }\n  }\n}\n\n/*******************************************************************************\n* Dropdowns\n*/\n\ndetails.sd-dropdown {\n  // Remove all borders to over-ride SD behavior, and we'll add our own later\n  border: 0px !important;\n  summary.sd-card-header {\n    border: 0 !important;\n    & + div.sd-summary-content {\n      border: 0;\n    }\n  }\n  // Drop shadow should behave same as admonitions\n  @include box-shadow();\n\n  // Header is where the \"clickable\" box goes\n  summary.sd-card-header {\n    display: flex;\n    align-items: center;\n    position: relative; // So background color works\n    font-weight: 600;\n    padding-top: 0.5rem;\n    padding-bottom: 0.5rem;\n\n    // Set a variable that we can re-use for colors later\n    // We must set this in the current and content sibling container\n    // so that it is defined in both places\n    --pst-sd-dropdown-color: var(--pst-gray-500);\n    --pst-sd-dropdown-bg-color: var(--pst-color-surface);\n    & + div.sd-summary-content {\n      --pst-sd-dropdown-color: var(--sd-color-card-border);\n    }\n    @each $name in $sd-semantic-color-names {\n      &.sd-bg-#{$name} {\n        --pst-sd-dropdown-color: var(--sd-color-#{$name});\n        --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        // Otherwise it won't be defined in the sibling element\n        & + div.sd-summary-content {\n          --pst-sd-dropdown-color: var(--sd-color-#{$name});\n          --pst-sd-dropdown-bg-color: var(--sd-color-#{$name}-bg);\n        }\n      }\n      &.sd-bg-text-#{$name} {\n        // Use the WCAG conformant text color\n        color: var(--sd-color-#{$name}-bg-text) !important;\n      }\n    }\n\n    @include legacy-backdrop-placeholder;\n    background-color: var(--pst-sd-dropdown-bg-color) !important;\n\n    // Add a left border with the same structure as our admonitions\n    border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n    & + div.sd-summary-content {\n      border-left: 0.2rem solid var(--pst-sd-dropdown-color) !important;\n      border-bottom-left-radius: calc(0.25rem - 1px);\n      background-color: var(--pst-color-on-background);\n    }\n    span.sd-summary-icon {\n      display: inline-flex;\n      align-items: center;\n      color: var(--pst-sd-dropdown-color) !important;\n      svg {\n        opacity: 1;\n      }\n    }\n\n    // Positioning of the caret\n    .sd-summary-up,\n    .sd-summary-down {\n      top: 0.7rem;\n    }\n  }\n}\n","/**\n * Sphinx togglebutton\n */\n\n.bd-content {\n  // Admonition toggles\n  .admonition {\n    button.toggle-button {\n      color: inherit;\n    }\n  }\n\n  // Details buttons\n  details.toggle-details {\n    // Over-ride border color to re-use our primary color\n    summary {\n      border-left: 3px solid var(--pst-color-primary);\n    }\n  }\n}\n","/**\n * Styles for various Sphinx execution libraries to display pre-executed notebooks.\n * For now, where these define output sections, we simply revert their background\n * to be a \"light theme\" background. This ensures that inputs/outputs behave similarly,\n * because the CSS is often controlled by each package.\n * In the future, we might add dark theme support for specific packages.\n */\n\n/*******************************************************************************\n * nbsphinx\n */\nhtml div.rendered_html\n// NBsphinx ipywidgets output selector\nhtml .jp-RenderedHTMLCommon {\n  table {\n    table-layout: auto;\n  }\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  .nboutput {\n    .output_area.rendered_html {\n      @include cell-output-background;\n    }\n\n    .output_area.stderr {\n      background: var(--pst-color-danger);\n    }\n  }\n}\n\n// Add extra padding to the final item in an nbsphinx container\ndiv.nblast.container {\n  margin-bottom: 1rem;\n}\n\n/*******************************************************************************\n * myst NB\n */\n\ndiv.cell_output .output {\n  max-width: 100%;\n  overflow-x: auto;\n}\n\n// Dark theme special-cases\nhtml[data-theme=\"dark\"] .bd-content {\n  div.cell_output {\n    img,\n    .text_html {\n      @include cell-output-background;\n    }\n  }\n}\n\n// Prevent tables from scrunching together\n.bd-content {\n  div.cell_input {\n    display: flex;\n    flex-direction: column;\n    justify-content: stretch;\n  }\n\n  div.cell_input,\n  div.output {\n    border-radius: $admonition-border-radius;\n  }\n\n  div.output {\n    table {\n      table-layout: auto;\n    }\n  }\n}\n","/**\n * style for the various mapping libs based on leaflet (folium, geemap, ipyleaflet)\n * mainly ensure the good display of the maps in both themes and avoid the customization\n * of the tiles\n */\n\n/**\n * avoid border override from pydata-sphinx-theme\n * minimal selctor to get the priority\n */\nhtml[data-theme=\"dark\"] .bd-content img.leaflet-tile.leaflet-tile-loaded {\n  border-radius: 0;\n  padding: 0;\n}\n","/**\n * /search.html page special-cases\n */\n\n.bd-search-container {\n  /*******************************************\n  * Search results\n  */\n  // Whitespace\n  div#search-results {\n    > h2 {\n      font-size: var(--pst-font-size-icon);\n      margin-top: 0;\n    }\n\n    p.search-summary {\n      color: var(--pst-color-text-muted);\n    }\n  }\n\n  ul.search {\n    margin: 0;\n    list-style: none;\n\n    li {\n      background-image: none;\n      padding: 1rem 0;\n      margin: 1rem 0;\n      border-top: 1px solid var(--pst-color-text-muted);\n\n      // First link is the page title, it should be a bit bigger\n      > a {\n        font-size: 1.2em;\n      }\n\n      div.context,\n      p.context {\n        color: var(--pst-color-text-base);\n        margin: 0.5em 0 0 0;\n\n        // Add a # before page section titles to make it clear they are sections\n        a:before {\n          content: \"#\";\n          padding-right: 0.2em;\n          color: var(--pst-color-text-muted);\n        }\n      }\n    }\n  }\n}\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/_static/vendor/fontawesome/6.1.2/css/all.min.css b/_static/vendor/fontawesome/6.1.2/css/all.min.css
deleted file mode 100644
index aad4b1d9..00000000
--- a/_static/vendor/fontawesome/6.1.2/css/all.min.css
+++ /dev/null
@@ -1,5 +0,0 @@
-/*!
- * Font Awesome Free 6.1.2 by @fontawesome - https://fontawesome.com
- * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
- * Copyright 2022 Fonticons, Inc.
- */.fa{font-family:var(--fa-style-family,"Font Awesome 6 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diff --git a/_static/vendor/fontawesome/6.1.2/LICENSE.txt b/_static/vendor/fontawesome/6.5.1/LICENSE.txt
similarity index 98%
rename from _static/vendor/fontawesome/6.1.2/LICENSE.txt
rename to _static/vendor/fontawesome/6.5.1/LICENSE.txt
index cc557ece..39e18e3d 100644
--- a/_static/vendor/fontawesome/6.1.2/LICENSE.txt
+++ b/_static/vendor/fontawesome/6.5.1/LICENSE.txt
@@ -23,7 +23,7 @@ as SVG and JS file types.
 In the Font Awesome Free download, the SIL OFL license applies to all icons
 packaged as web and desktop font files.
 
-Copyright (c) 2022 Fonticons, Inc. (https://fontawesome.com)
+Copyright (c) 2023 Fonticons, Inc. (https://fontawesome.com)
 with Reserved Font Name: "Font Awesome".
 
 This Font Software is licensed under the SIL Open Font License, Version 1.1.
@@ -123,7 +123,7 @@ OTHER DEALINGS IN THE FONT SOFTWARE.
 In the Font Awesome Free download, the MIT license applies to all non-font and
 non-icon files.
 
-Copyright 2022 Fonticons, Inc.
+Copyright 2023 Fonticons, Inc.
 
 Permission is hereby granted, free of charge, to any person obtaining a copy of
 this software and associated documentation files (the "Software"), to deal in the
diff --git a/_static/vendor/fontawesome/6.5.1/css/all.min.css b/_static/vendor/fontawesome/6.5.1/css/all.min.css
new file mode 100644
index 00000000..5f2038f0
--- /dev/null
+++ b/_static/vendor/fontawesome/6.5.1/css/all.min.css
@@ -0,0 +1,5 @@
+/*!
+ * Font Awesome Free 6.5.1 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */.fa{font-family:var(--fa-style-family,"Font Awesome 6 Free");font-weight:var(--fa-style,900)}.fa,.fa-brands,.fa-classic,.fa-regular,.fa-sharp,.fa-solid,.fab,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:var(--fa-display,inline-block);font-style:normal;font-variant:normal;line-height:1;text-rendering:auto}.fa-classic,.fa-regular,.fa-solid,.far,.fas{font-family:Font Awesome\ 6 Free}.fa-brands,.fab{font-family:Font Awesome\ 6 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diff --git a/_static/vendor/fontawesome/6.5.1/js/all.min.js.LICENSE.txt b/_static/vendor/fontawesome/6.5.1/js/all.min.js.LICENSE.txt
new file mode 100644
index 00000000..ef6dda40
--- /dev/null
+++ b/_static/vendor/fontawesome/6.5.1/js/all.min.js.LICENSE.txt
@@ -0,0 +1,5 @@
+/*!
+ * Font Awesome Free 6.5.1 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
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new file mode 100644
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diff --git a/_static/vendor/fontawesome/6.5.1/webfonts/fa-v4compatibility.ttf b/_static/vendor/fontawesome/6.5.1/webfonts/fa-v4compatibility.ttf
new file mode 100644
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HcmV?d00001

diff --git a/_static/webpack-macros.html b/_static/webpack-macros.html
index 58db7859..243a8589 100644
--- a/_static/webpack-macros.html
+++ b/_static/webpack-macros.html
@@ -4,27 +4,28 @@
 -->
 {# Load FontAwesome icons #}
 {% macro head_pre_icons() %}
-  <link href="{{ pathto('_static/vendor/fontawesome/6.1.2/css/all.min.css', 1) }}?digest=e353d410970836974a52" rel="stylesheet" />
-  <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2', 1) }}" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.woff2', 1) }}" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2', 1) }}" />
+  <link href="{{ pathto('_static/vendor/fontawesome/6.5.1/css/all.min.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2', 1) }}" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2', 1) }}" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2', 1) }}" />
 {% endmacro %}
 
 {% macro head_pre_assets() %}
   <!-- Loaded before other Sphinx assets -->
-  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="{{ pathto('_static/styles/bootstrap.css', 1) }}?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="{{ pathto('_static/styles/theme.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/bootstrap.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="{{ pathto('_static/styles/pydata-sphinx-theme.css', 1) }}?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 {% endmacro %}
 
 {% macro head_js_preload() %}
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=e353d410970836974a52" />
-<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=8d27b9dea8ad943066ae" />
+  <script src="{{ pathto('_static/vendor/fontawesome/6.5.1/js/all.min.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
 {% endmacro %}
 
 {% macro body_post() %}
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=e353d410970836974a52"></script>
-<script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=e353d410970836974a52"></script>
+  <script src="{{ pathto('_static/scripts/bootstrap.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
+<script src="{{ pathto('_static/scripts/pydata-sphinx-theme.js', 1) }}?digest=8d27b9dea8ad943066ae"></script>
 {% endmacro %}
\ No newline at end of file
diff --git a/advanced/accessors/01_accessor_examples.html b/advanced/accessors/01_accessor_examples.html
index 9d9ed000..8645f151 100644
--- a/advanced/accessors/01_accessor_examples.html
+++ b/advanced/accessors/01_accessor_examples.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../../_static/styles/bootstrap.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../_static/vendor/fontawesome/6.1.2/css/all.min.css?digest=e353d410970836974a52" rel="stylesheet" />
-  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
     <link rel="stylesheet" type="text/css" href="../../_static/pygments.css" />
     <link rel="stylesheet" href="../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
@@ -40,12 +40,14 @@
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=e353d410970836974a52" />
-<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script data-url_root="../../" id="documentation_options" src="../../_static/documentation_options.js"></script>
     <script src="../../_static/jquery.js"></script>
     <script src="../../_static/underscore.js"></script>
+    <script src="../../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../../_static/doctools.js"></script>
     <script src="../../_static/clipboard.min.js"></script>
     <script src="../../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
   <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -517,18 +534,18 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="creating-custom-accessors">
-<h1>Creating custom accessors<a class="headerlink" href="#creating-custom-accessors" title="Permalink to this headline">#</a></h1>
+<h1>Creating custom accessors<a class="headerlink" href="#creating-custom-accessors" title="Permalink to this heading">#</a></h1>
 <section id="introduction">
-<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this headline">#</a></h2>
+<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this heading">#</a></h2>
 <p>An accessor is a way of attaching a custom function to xarray objects so that it can be called as if it were a method while retaining a clear separation between the “core” xarray API and custom API. It enables you to easily <em>extend</em> (which is why you’ll sometimes see it referred to as an extension) and customize xarray’s functionality while limiting naming conflicts and minimizing the chances of your code breaking with xarray upgrades.</p>
 <p>If you’ve used <a class="reference external" href="https://corteva.github.io/rioxarray/stable/">rioxarray</a> (e.g. <code class="docutils literal notranslate"><span class="pre">da.rio.crs</span></code>) or <a class="reference external" href="https://hvplot.holoviz.org/">hvplot</a> (e.g. <code class="docutils literal notranslate"><span class="pre">ds.hvplot()</span></code>), you may have already used an xarray accessor without knowing it!</p>
 <p>The <a class="reference external" href="https://docs.xarray.dev/en/stable/internals/extending-xarray.html">Xarray documentation</a> has some more technical details, and this tutorial provides example custom accessors and their uses.</p>
 </section>
 <section id="why-create-a-custom-accessor">
-<h2>Why create a custom accessor<a class="headerlink" href="#why-create-a-custom-accessor" title="Permalink to this headline">#</a></h2>
+<h2>Why create a custom accessor<a class="headerlink" href="#why-create-a-custom-accessor" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>You can easily create a custom suite of tools that work on Xarray objects</p></li>
 <li><p>It keeps your workflows cleaner and simpler</p></li>
@@ -538,7 +555,7 @@ <h2>Why create a custom accessor<a class="headerlink" href="#why-create-a-custom
 </ul>
 </section>
 <section id="easy-steps-to-create-your-own-accessor">
-<h2>Easy steps to create your own accessor<a class="headerlink" href="#easy-steps-to-create-your-own-accessor" title="Permalink to this headline">#</a></h2>
+<h2>Easy steps to create your own accessor<a class="headerlink" href="#easy-steps-to-create-your-own-accessor" title="Permalink to this heading">#</a></h2>
 <ol class="arabic simple">
 <li><p>Create your custom class, including the mandatory <code class="docutils literal notranslate"><span class="pre">__init__</span></code> method</p></li>
 <li><p>Add the <code class="docutils literal notranslate"><span class="pre">xr.register_dataarray_accessor()</span></code> or <code class="docutils literal notranslate"><span class="pre">xr.register_dataset_accessor()</span></code></p></li>
@@ -546,7 +563,7 @@ <h2>Easy steps to create your own accessor<a class="headerlink" href="#easy-step
 </ol>
 </section>
 <section id="example-1-accessing-scipy-functionality">
-<h2>Example 1: accessing scipy functionality<a class="headerlink" href="#example-1-accessing-scipy-functionality" title="Permalink to this headline">#</a></h2>
+<h2>Example 1: accessing scipy functionality<a class="headerlink" href="#example-1-accessing-scipy-functionality" title="Permalink to this heading">#</a></h2>
 <p>For example, imagine you’re a statistician who regularly uses a special <code class="docutils literal notranslate"><span class="pre">skewness</span></code> function which acts on dataarrays but is only of interest to people in your specific field.</p>
 <p>You can create a method which applies this skewness function to an xarray object and then register the method under a custom <code class="docutils literal notranslate"><span class="pre">stats</span></code> accessor like this:</p>
 <div class="cell docutils container">
@@ -947,17 +964,17 @@ <h2>Example 1: accessing scipy functionality<a class="headerlink" href="#example
 Data variables:
     air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
     skewair  (lat, lon) float32 -0.2931 -0.2827 -0.2719 ... -0.1893 -0.1869
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-486c3d28-1766-4868-b656-df837c34f754' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-486c3d28-1766-4868-b656-df837c34f754' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8c35a78b-0078-4a23-92e8-cc9bec0d1126' class='xr-section-summary-in' type='checkbox'  ><label for='section-8c35a78b-0078-4a23-92e8-cc9bec0d1126' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-9a3cc03d-758f-4903-89ae-5c5c66104959' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a3cc03d-758f-4903-89ae-5c5c66104959' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-002069b0-caae-4b50-9dc4-42801411b982' class='xr-var-data-in' type='checkbox'><label for='data-002069b0-caae-4b50-9dc4-42801411b982' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f9154cd7-71a2-49cd-8a28-36f9372596d2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f9154cd7-71a2-49cd-8a28-36f9372596d2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0328fcb1-863b-48d6-961d-3e2b7f5716e2' class='xr-section-summary-in' type='checkbox'  ><label for='section-0328fcb1-863b-48d6-961d-3e2b7f5716e2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-bdc6e5d7-e1b8-4697-b319-97de67d8be74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bdc6e5d7-e1b8-4697-b319-97de67d8be74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9876f0d5-b836-4e7f-8681-613e28527479' class='xr-var-data-in' type='checkbox'><label for='data-9876f0d5-b836-4e7f-8681-613e28527479' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-94d57411-737f-4792-bd42-22082e6553bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94d57411-737f-4792-bd42-22082e6553bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3da364c6-b50a-490e-ae8a-b8c385b300bd' class='xr-var-data-in' type='checkbox'><label for='data-3da364c6-b50a-490e-ae8a-b8c385b300bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-8541e31b-3f06-457e-af21-02a7eb523cca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8541e31b-3f06-457e-af21-02a7eb523cca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2201b2ba-85cc-4e1b-9440-9d3c28766551' class='xr-var-data-in' type='checkbox'><label for='data-2201b2ba-85cc-4e1b-9440-9d3c28766551' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-70c01de1-4fed-4833-a9fa-e8007ab94456' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70c01de1-4fed-4833-a9fa-e8007ab94456' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f250cabf-bc5b-49fe-9b90-a37976c40a13' class='xr-var-data-in' type='checkbox'><label for='data-f250cabf-bc5b-49fe-9b90-a37976c40a13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-2941ef57-6f2a-41f7-986e-89c7f6784c66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2941ef57-6f2a-41f7-986e-89c7f6784c66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74168e32-b6de-429d-b135-b5f966e71b0a' class='xr-var-data-in' type='checkbox'><label for='data-74168e32-b6de-429d-b135-b5f966e71b0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f756c799-71ec-48f6-a934-9ebdfff0990e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f756c799-71ec-48f6-a934-9ebdfff0990e' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-7af40a79-649c-45b3-9fd4-9ab7b0cfcb3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7af40a79-649c-45b3-9fd4-9ab7b0cfcb3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-136b4ec4-2b79-4b34-b56f-66815fb3d6af' class='xr-var-data-in' type='checkbox'><label for='data-136b4ec4-2b79-4b34-b56f-66815fb3d6af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c389772-ffd1-4651-be48-78362c410eba' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2c389772-ffd1-4651-be48-78362c410eba' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-dbf01769-6997-4a36-b188-f45fbaeba59b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbf01769-6997-4a36-b188-f45fbaeba59b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36f2b4ae-f69f-437a-a338-881cae6e8f5e' class='xr-var-data-in' type='checkbox'><label for='data-36f2b4ae-f69f-437a-a338-881cae6e8f5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -997,7 +1014,7 @@ <h2>Example 1: accessing scipy functionality<a class="headerlink" href="#example
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skewair</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2931 -0.2827 ... -0.1893 -0.1869</div><input id='attrs-b395987e-6a8e-4265-a7f5-2c91288283ed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b395987e-6a8e-4265-a7f5-2c91288283ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-232452ee-6016-4f1b-92d4-5801add750d9' class='xr-var-data-in' type='checkbox'><label for='data-232452ee-6016-4f1b-92d4-5801add750d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-0.2931476 , -0.28266272, -0.27186424, ...,  0.17988075,
+         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>skewair</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.2931 -0.2827 ... -0.1893 -0.1869</div><input id='attrs-19105966-b40e-4518-8525-e15cac9631eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-19105966-b40e-4518-8525-e15cac9631eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-475bc207-f6d1-438f-8550-52af899ab886' class='xr-var-data-in' type='checkbox'><label for='data-475bc207-f6d1-438f-8550-52af899ab886' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-0.2931476 , -0.28266272, -0.27186424, ...,  0.17988075,
          0.19492772,  0.18501303],
        [-0.43506402, -0.41124222, -0.39784586, ...,  0.20494737,
          0.15140377,  0.07443903],
@@ -1009,16 +1026,16 @@ <h2>Example 1: accessing scipy functionality<a class="headerlink" href="#example
        [-0.16570069, -0.15133129, -0.14611374, ..., -0.14533104,
         -0.16578567, -0.1651542 ],
        [-0.1693059 , -0.1888289 , -0.19077516, ..., -0.11210649,
-        -0.18933235, -0.18690756]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3bec180-bc0e-4856-a9cf-0c517d736ceb' class='xr-section-summary-in' type='checkbox'  ><label for='section-a3bec180-bc0e-4856-a9cf-0c517d736ceb' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1e9a0e27-de53-4e88-a97e-07d163231844' class='xr-index-data-in' type='checkbox'/><label for='index-1e9a0e27-de53-4e88-a97e-07d163231844' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+        -0.18933235, -0.18690756]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eafbe8f4-5300-46aa-9b65-909bcfea7257' class='xr-section-summary-in' type='checkbox'  ><label for='section-eafbe8f4-5300-46aa-9b65-909bcfea7257' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8e082c8c-4e4e-474e-b229-21a465d79714' class='xr-index-data-in' type='checkbox'/><label for='index-8e082c8c-4e4e-474e-b229-21a465d79714' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1d4b5ee7-1808-4e34-ac15-ad8234bb3be0' class='xr-index-data-in' type='checkbox'/><label for='index-1d4b5ee7-1808-4e34-ac15-ad8234bb3be0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1f9f5141-8fbc-47e4-b2b2-1625a1ac5f88' class='xr-index-data-in' type='checkbox'/><label for='index-1f9f5141-8fbc-47e4-b2b2-1625a1ac5f88' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cc0e6725-704e-42ed-ada0-eca7e001a7b7' class='xr-index-data-in' type='checkbox'/><label for='index-cc0e6725-704e-42ed-ada0-eca7e001a7b7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-031148e1-158b-4c84-bf33-3e9475c09af7' class='xr-index-data-in' type='checkbox'/><label for='index-031148e1-158b-4c84-bf33-3e9475c09af7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1029,13 +1046,13 @@ <h2>Example 1: accessing scipy functionality<a class="headerlink" href="#example
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a75540c8-5ff0-4f4a-bd8d-afa481867aa6' class='xr-section-summary-in' type='checkbox'  ><label for='section-a75540c8-5ff0-4f4a-bd8d-afa481867aa6' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ed1d986-5ad3-4bf4-87bb-7ce5c70343a4' class='xr-section-summary-in' type='checkbox'  ><label for='section-9ed1d986-5ad3-4bf4-87bb-7ce5c70343a4' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Notice how the presence of <code class="docutils literal notranslate"><span class="pre">.stats</span></code> clearly differentiates our new “accessor method” from core xarray methods.</p>
 </section>
 <section id="example-2-creating-your-own-workflows">
-<h2>Example 2: creating your own workflows<a class="headerlink" href="#example-2-creating-your-own-workflows" title="Permalink to this headline">#</a></h2>
+<h2>Example 2: creating your own workflows<a class="headerlink" href="#example-2-creating-your-own-workflows" title="Permalink to this heading">#</a></h2>
 <p>Perhaps you find yourself running similar code for multiple xarray objects or across related projects. By packing your code into an extension, it makes it easy to repeat the same operation while reducing the likelihood of [human introduced] errors.</p>
 <p>Here we wrap the reorganization of InSAR ice velocity data illustrated in <a class="reference external" href="https://tutorial.xarray.dev/data_cleaning/ice_velocity.html?highlight=ice_velocity">this tutorial</a> into a custom Xarray extension that makes it easy to re-apply each time you begin working with a new InSAR velocity dataset. Please see the linked tutorial for details on the data, applications, and each step in this process.</p>
 <div class="cell docutils container">
@@ -1553,19 +1570,19 @@ <h2>Example 2: creating your own workflows<a class="headerlink" href="#example-2
     vx2012   (y, x) float32 ...
     vy2012   (y, x) float32 ...
     err2012  (y, x) float32 ...
-Attributes: (21)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0f81c5b7-7e21-4ad3-ba66-3770f202efbc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0f81c5b7-7e21-4ad3-ba66-3770f202efbc' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9fd13460-80b8-4a6e-8926-e3ddc54f8094' class='xr-section-summary-in' type='checkbox'  ><label for='section-9fd13460-80b8-4a6e-8926-e3ddc54f8094' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-b7069570-e87b-41dc-bc5b-066385beb139' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7069570-e87b-41dc-bc5b-066385beb139' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ae6d0ed-94b0-4c0d-94e3-9a7e0f97797b' class='xr-var-data-in' type='checkbox'><label for='data-0ae6d0ed-94b0-4c0d-94e3-9a7e0f97797b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-bfde1152-21df-43ad-827b-da8fe4f96260' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bfde1152-21df-43ad-827b-da8fe4f96260' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00f50624-e465-4f2a-b597-2514deccec36' class='xr-var-data-in' type='checkbox'><label for='data-00f50624-e465-4f2a-b597-2514deccec36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aa578e00-4e3d-42a8-ba57-e312bfcd90c5' class='xr-section-summary-in' type='checkbox'  ><label for='section-aa578e00-4e3d-42a8-ba57-e312bfcd90c5' class='xr-section-summary' >Data variables: <span>(30)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18142802-3631-49a5-b9bf-aa0d3e5d9c71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18142802-3631-49a5-b9bf-aa0d3e5d9c71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57b824b1-7b06-49f3-8f65-4b8827a70f1b' class='xr-var-data-in' type='checkbox'><label for='data-57b824b1-7b06-49f3-8f65-4b8827a70f1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d95b3c1b-a5c1-4e24-9f78-7282cee416c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d95b3c1b-a5c1-4e24-9f78-7282cee416c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01570529-e12e-466d-a404-8e8fe63c9565' class='xr-var-data-in' type='checkbox'><label for='data-01570529-e12e-466d-a404-8e8fe63c9565' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1a6597f2-a5a2-42ca-8749-b931037ffa95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a6597f2-a5a2-42ca-8749-b931037ffa95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d80614dd-9d60-4b05-b2e4-f37e062739fe' class='xr-var-data-in' type='checkbox'><label for='data-d80614dd-9d60-4b05-b2e4-f37e062739fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b9552b23-4d3d-435a-b45d-11b7d15e8656' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9552b23-4d3d-435a-b45d-11b7d15e8656' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94dc7b59-8348-41fc-b9cb-b5309f79a265' class='xr-var-data-in' type='checkbox'><label for='data-94dc7b59-8348-41fc-b9cb-b5309f79a265' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1c2adbb6-a8c6-409d-8cea-e23b50af4b7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c2adbb6-a8c6-409d-8cea-e23b50af4b7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e9e1ad6-734e-4357-818b-5cc990c14999' class='xr-var-data-in' type='checkbox'><label for='data-9e9e1ad6-734e-4357-818b-5cc990c14999' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-68c6b147-6b69-4246-a938-9df168483ddd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68c6b147-6b69-4246-a938-9df168483ddd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9b4c25a-1a11-4d31-adff-17b2212c17d0' class='xr-var-data-in' type='checkbox'><label for='data-a9b4c25a-1a11-4d31-adff-17b2212c17d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6eb1827-faaa-4eec-81d6-4cb66b7f0598' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6eb1827-faaa-4eec-81d6-4cb66b7f0598' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a12744c6-3b35-4093-9d2b-ad3fbab8f3cc' class='xr-var-data-in' type='checkbox'><label for='data-a12744c6-3b35-4093-9d2b-ad3fbab8f3cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6769f90a-a5a7-451b-88df-b28dbd464047' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6769f90a-a5a7-451b-88df-b28dbd464047' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-744623a4-c7ff-4fd2-85a7-73f67ae860e1' class='xr-var-data-in' type='checkbox'><label for='data-744623a4-c7ff-4fd2-85a7-73f67ae860e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-818e18a2-62d5-479a-9631-e345947c4b34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-818e18a2-62d5-479a-9631-e345947c4b34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08a2d022-d9e9-42c4-b138-b0eb7196ac82' class='xr-var-data-in' type='checkbox'><label for='data-08a2d022-d9e9-42c4-b138-b0eb7196ac82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0af3f4ca-fb29-409d-914d-64fbea77fc53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0af3f4ca-fb29-409d-914d-64fbea77fc53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72ff581f-9443-4bb7-9f40-7844d8f96213' class='xr-var-data-in' type='checkbox'><label for='data-72ff581f-9443-4bb7-9f40-7844d8f96213' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4f5f9fe9-5e68-455b-9923-f51ea29865e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f5f9fe9-5e68-455b-9923-f51ea29865e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e502feb3-1bd3-4280-ac73-28963bb7852d' class='xr-var-data-in' type='checkbox'><label for='data-e502feb3-1bd3-4280-ac73-28963bb7852d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0f01036-a3b3-42c4-97d0-4757025f36d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0f01036-a3b3-42c4-97d0-4757025f36d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e0a7d00-aee2-404d-a6c5-34b15cb5150d' class='xr-var-data-in' type='checkbox'><label for='data-5e0a7d00-aee2-404d-a6c5-34b15cb5150d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-feab4b59-1967-4537-a027-ef25d685ba56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-feab4b59-1967-4537-a027-ef25d685ba56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ddfd937-4d22-41be-adc7-0011484fe3cc' class='xr-var-data-in' type='checkbox'><label for='data-5ddfd937-4d22-41be-adc7-0011484fe3cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-32f92aae-3d27-4131-b552-d1326b64a934' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32f92aae-3d27-4131-b552-d1326b64a934' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ce983e9-5100-4e97-b60b-2782e0102f08' class='xr-var-data-in' type='checkbox'><label for='data-7ce983e9-5100-4e97-b60b-2782e0102f08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-939f9d65-8dea-4574-ad1a-048b7130c75f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-939f9d65-8dea-4574-ad1a-048b7130c75f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89e0b78f-98be-4c49-ad4d-1f1af4d726dc' class='xr-var-data-in' type='checkbox'><label for='data-89e0b78f-98be-4c49-ad4d-1f1af4d726dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19cff2f2-bbc8-4e3f-ace8-a30b19618dac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19cff2f2-bbc8-4e3f-ace8-a30b19618dac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc2cd976-ca05-4492-9d06-284d97d0b5bf' class='xr-var-data-in' type='checkbox'><label for='data-cc2cd976-ca05-4492-9d06-284d97d0b5bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dede07e1-df2e-4d4a-b03e-4104e673b353' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dede07e1-df2e-4d4a-b03e-4104e673b353' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd2be83f-8531-4938-9463-90cbd6f71660' class='xr-var-data-in' type='checkbox'><label for='data-bd2be83f-8531-4938-9463-90cbd6f71660' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6ba8df4c-32ea-43de-9c12-19bdb339d215' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ba8df4c-32ea-43de-9c12-19bdb339d215' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e07f023e-ac34-451c-8ce1-61cc482b4028' class='xr-var-data-in' type='checkbox'><label for='data-e07f023e-ac34-451c-8ce1-61cc482b4028' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba7139d0-207a-4222-8984-f25d20c7f69a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba7139d0-207a-4222-8984-f25d20c7f69a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca777609-38ad-4216-8bd8-98c3895ce247' class='xr-var-data-in' type='checkbox'><label for='data-ca777609-38ad-4216-8bd8-98c3895ce247' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d968cce3-1391-426e-a8b4-83b2baeeaa7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d968cce3-1391-426e-a8b4-83b2baeeaa7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cca7343-b78b-41d6-911d-6a620be2dd9b' class='xr-var-data-in' type='checkbox'><label for='data-6cca7343-b78b-41d6-911d-6a620be2dd9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58a4a1d1-e7c3-4c19-adbc-622d94fcf1fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58a4a1d1-e7c3-4c19-adbc-622d94fcf1fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a13f2a5-be44-45c6-b1cb-e2b5e652f955' class='xr-var-data-in' type='checkbox'><label for='data-5a13f2a5-be44-45c6-b1cb-e2b5e652f955' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d0cbcf3b-4efc-46c0-b30b-ff2cc81885b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0cbcf3b-4efc-46c0-b30b-ff2cc81885b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5790961-3bdb-45e5-b1ff-9a7beb7c4354' class='xr-var-data-in' type='checkbox'><label for='data-d5790961-3bdb-45e5-b1ff-9a7beb7c4354' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ccaf6177-49fe-46b7-ae45-4acc68a5d44f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccaf6177-49fe-46b7-ae45-4acc68a5d44f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7604b28f-a6ab-41ef-ae8a-8a76fb81643b' class='xr-var-data-in' type='checkbox'><label for='data-7604b28f-a6ab-41ef-ae8a-8a76fb81643b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-de07b978-1459-4751-a9cb-5b527ae4bcc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de07b978-1459-4751-a9cb-5b527ae4bcc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a6cd74a-0c53-476a-8f9c-7a1fc32580fc' class='xr-var-data-in' type='checkbox'><label for='data-5a6cd74a-0c53-476a-8f9c-7a1fc32580fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd89e730-67ed-4068-8b98-0b2dc321e708' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd89e730-67ed-4068-8b98-0b2dc321e708' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6d37e78-f9b8-41cb-84e1-deed4ddbd616' class='xr-var-data-in' type='checkbox'><label for='data-a6d37e78-f9b8-41cb-84e1-deed4ddbd616' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-54f38092-42e6-4817-9734-70e9379468e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54f38092-42e6-4817-9734-70e9379468e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7324055-82e5-49fe-909f-55fe69974df4' class='xr-var-data-in' type='checkbox'><label for='data-a7324055-82e5-49fe-909f-55fe69974df4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5b4c3bff-a03a-4689-8756-f027edc1c224' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b4c3bff-a03a-4689-8756-f027edc1c224' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4964fd1e-ab5c-49d3-8073-8a257e302d27' class='xr-var-data-in' type='checkbox'><label for='data-4964fd1e-ab5c-49d3-8073-8a257e302d27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-32ea4b42-8c77-43b4-940d-eaf985f8b48b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32ea4b42-8c77-43b4-940d-eaf985f8b48b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a9f0d81-0d6d-4655-94bc-a5a9c615e7c6' class='xr-var-data-in' type='checkbox'><label for='data-0a9f0d81-0d6d-4655-94bc-a5a9c615e7c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ef41362-0e18-4034-b911-0677c2f3ee92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ef41362-0e18-4034-b911-0677c2f3ee92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe119474-d322-4ab9-8e66-10390929bbb3' class='xr-var-data-in' type='checkbox'><label for='data-fe119474-d322-4ab9-8e66-10390929bbb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e4b9b0cf-eefa-46cc-9ee1-7b8f684cb59f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4b9b0cf-eefa-46cc-9ee1-7b8f684cb59f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b2b63cc-8e65-455d-97c2-56c09700345f' class='xr-var-data-in' type='checkbox'><label for='data-0b2b63cc-8e65-455d-97c2-56c09700345f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-721b8b08-a933-440a-ae85-a901ab8fc53a' class='xr-section-summary-in' type='checkbox'  ><label for='section-721b8b08-a933-440a-ae85-a901ab8fc53a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dc1de8be-737e-4b91-b0bf-6245fcdc12c8' class='xr-index-data-in' type='checkbox'/><label for='index-dc1de8be-737e-4b91-b0bf-6245fcdc12c8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
+Attributes: (21)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fccdf174-fa12-4d91-b507-735324ddf371' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fccdf174-fa12-4d91-b507-735324ddf371' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-be65f3c5-b379-41bd-9d39-66e794e89c6b' class='xr-section-summary-in' type='checkbox'  ><label for='section-be65f3c5-b379-41bd-9d39-66e794e89c6b' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-c76e72ba-ad1f-4240-851f-da12f3def98c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c76e72ba-ad1f-4240-851f-da12f3def98c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6fe23c6-1aa2-4d78-b3de-2ffc95eea88c' class='xr-var-data-in' type='checkbox'><label for='data-a6fe23c6-1aa2-4d78-b3de-2ffc95eea88c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-0bfc5d82-f3a1-4bcc-8364-43731c8d44e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0bfc5d82-f3a1-4bcc-8364-43731c8d44e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ee29548-c782-4058-bdfa-951efb3420fd' class='xr-var-data-in' type='checkbox'><label for='data-5ee29548-c782-4058-bdfa-951efb3420fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9967a6f9-c005-4f1d-b3e0-76467d5d1b46' class='xr-section-summary-in' type='checkbox'  ><label for='section-9967a6f9-c005-4f1d-b3e0-76467d5d1b46' class='xr-section-summary' >Data variables: <span>(30)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4a47ea7-4784-4205-846d-01ba25c3d7c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4a47ea7-4784-4205-846d-01ba25c3d7c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-374d9e53-5f12-4068-ace6-2c444e51d25f' class='xr-var-data-in' type='checkbox'><label for='data-374d9e53-5f12-4068-ace6-2c444e51d25f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7bd094bd-e1f6-4c4d-af33-4eacb6176ba7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bd094bd-e1f6-4c4d-af33-4eacb6176ba7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08ebc53f-22bd-44cf-be05-63b8097b4bf9' class='xr-var-data-in' type='checkbox'><label for='data-08ebc53f-22bd-44cf-be05-63b8097b4bf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5fe6dc9-3aeb-4e75-821a-1a4a571e8dff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5fe6dc9-3aeb-4e75-821a-1a4a571e8dff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6656218d-6d2e-4384-a0ff-f88d6b46af8e' class='xr-var-data-in' type='checkbox'><label for='data-6656218d-6d2e-4384-a0ff-f88d6b46af8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f362512-2a9e-41de-8a85-731a92dfcb73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f362512-2a9e-41de-8a85-731a92dfcb73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e825c047-d529-4f19-be0f-fd9ff155753a' class='xr-var-data-in' type='checkbox'><label for='data-e825c047-d529-4f19-be0f-fd9ff155753a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d616557a-c133-4f3c-bf6f-c6372dc5491b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d616557a-c133-4f3c-bf6f-c6372dc5491b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23406775-74c6-4c8e-9347-1e27cc6f460e' class='xr-var-data-in' type='checkbox'><label for='data-23406775-74c6-4c8e-9347-1e27cc6f460e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4b01d10-4f81-403f-9376-44be0015c97f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4b01d10-4f81-403f-9376-44be0015c97f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e475e097-37da-4bd3-b76b-9a1ee7fa5eab' class='xr-var-data-in' type='checkbox'><label for='data-e475e097-37da-4bd3-b76b-9a1ee7fa5eab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2858a7eb-8d04-49e2-8501-a778aa26ac40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2858a7eb-8d04-49e2-8501-a778aa26ac40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f154f463-5b32-4aee-9a9d-beb8c19f7192' class='xr-var-data-in' type='checkbox'><label for='data-f154f463-5b32-4aee-9a9d-beb8c19f7192' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-705d5af0-f630-4105-b188-f62726e480ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-705d5af0-f630-4105-b188-f62726e480ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b0b2a57-cbca-4c40-b527-16dc4f070193' class='xr-var-data-in' type='checkbox'><label for='data-5b0b2a57-cbca-4c40-b527-16dc4f070193' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-98548998-14e7-463d-b6bb-58fca3539859' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98548998-14e7-463d-b6bb-58fca3539859' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-225942ac-fd81-472c-a456-f8bae120fbdc' class='xr-var-data-in' type='checkbox'><label for='data-225942ac-fd81-472c-a456-f8bae120fbdc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd68aad3-c404-4d5f-9bfb-82c0ff0cf243' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd68aad3-c404-4d5f-9bfb-82c0ff0cf243' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41d29b67-4544-4383-bfea-8504371d0c70' class='xr-var-data-in' type='checkbox'><label for='data-41d29b67-4544-4383-bfea-8504371d0c70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f72edced-6aad-4f4b-b1e5-d2e977d4274c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f72edced-6aad-4f4b-b1e5-d2e977d4274c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e60e0d9-03dd-4b85-be15-eb2d50f6af61' class='xr-var-data-in' type='checkbox'><label for='data-9e60e0d9-03dd-4b85-be15-eb2d50f6af61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ec28396a-2aa8-4087-92e1-8a86904425bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec28396a-2aa8-4087-92e1-8a86904425bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44952306-0703-4eec-a2fa-c0dbb082b026' class='xr-var-data-in' type='checkbox'><label for='data-44952306-0703-4eec-a2fa-c0dbb082b026' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6b58b706-a2e8-4804-96b6-bcc4662c7a43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b58b706-a2e8-4804-96b6-bcc4662c7a43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-520f9a06-44d5-4b92-9304-d378fb2cf4b0' class='xr-var-data-in' type='checkbox'><label for='data-520f9a06-44d5-4b92-9304-d378fb2cf4b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-06ebde39-723a-4948-8efe-7f7be8e079f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06ebde39-723a-4948-8efe-7f7be8e079f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3bddeaf-d509-4808-ae6c-78a22326731b' class='xr-var-data-in' type='checkbox'><label for='data-f3bddeaf-d509-4808-ae6c-78a22326731b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c77c1f46-2216-41bf-afe8-dbef620deb6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c77c1f46-2216-41bf-afe8-dbef620deb6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c314ef0-a4a6-4979-b549-ccbc0850cc17' class='xr-var-data-in' type='checkbox'><label for='data-0c314ef0-a4a6-4979-b549-ccbc0850cc17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9af5c026-8bed-4547-8d01-420bbcc6afe3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9af5c026-8bed-4547-8d01-420bbcc6afe3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b912cbe-80c9-4bad-b7fa-d0d89729be16' class='xr-var-data-in' type='checkbox'><label for='data-7b912cbe-80c9-4bad-b7fa-d0d89729be16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9320b292-999b-4984-8f12-1df3c510791e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9320b292-999b-4984-8f12-1df3c510791e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db26bfe3-5094-4aa2-a01d-d2889a681937' class='xr-var-data-in' type='checkbox'><label for='data-db26bfe3-5094-4aa2-a01d-d2889a681937' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-440a7908-a42e-4dc1-ba13-a5bab029ef7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-440a7908-a42e-4dc1-ba13-a5bab029ef7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb43df84-f939-47d7-ae30-4efb6ac9a33c' class='xr-var-data-in' type='checkbox'><label for='data-eb43df84-f939-47d7-ae30-4efb6ac9a33c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-94802295-a421-4f5c-b8c9-4068a14f46c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94802295-a421-4f5c-b8c9-4068a14f46c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-785a74a0-7b4d-4e25-9bb5-f43af224800c' class='xr-var-data-in' type='checkbox'><label for='data-785a74a0-7b4d-4e25-9bb5-f43af224800c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-63c98f36-18ba-4c8f-9633-1ea577a5ef1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63c98f36-18ba-4c8f-9633-1ea577a5ef1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56111d14-2d26-49db-8622-c796f70646d0' class='xr-var-data-in' type='checkbox'><label for='data-56111d14-2d26-49db-8622-c796f70646d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3b35ecae-c4f7-4c06-9d34-390417258075' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b35ecae-c4f7-4c06-9d34-390417258075' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-527b1c80-99d3-46be-825a-e620bde2ec51' class='xr-var-data-in' type='checkbox'><label for='data-527b1c80-99d3-46be-825a-e620bde2ec51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-debaa5d7-deab-4bb9-871d-4ef641ed1e6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-debaa5d7-deab-4bb9-871d-4ef641ed1e6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58f0faa3-9aba-4470-b9d5-bc7c9cfe57d3' class='xr-var-data-in' type='checkbox'><label for='data-58f0faa3-9aba-4470-b9d5-bc7c9cfe57d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-95fd6237-ef87-44cc-9ca8-4262b3bff7a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95fd6237-ef87-44cc-9ca8-4262b3bff7a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-518fb6dc-e618-4a9b-83f3-47def73c4059' class='xr-var-data-in' type='checkbox'><label for='data-518fb6dc-e618-4a9b-83f3-47def73c4059' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b4958681-0cb9-4594-9c21-6b4a628e4a71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4958681-0cb9-4594-9c21-6b4a628e4a71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24772b60-5f86-4c74-a123-afe87d2b3d9b' class='xr-var-data-in' type='checkbox'><label for='data-24772b60-5f86-4c74-a123-afe87d2b3d9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-35d7c769-df81-423a-a02e-692b2d6cfbd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35d7c769-df81-423a-a02e-692b2d6cfbd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1d11202-425b-49af-b75e-75256903654e' class='xr-var-data-in' type='checkbox'><label for='data-e1d11202-425b-49af-b75e-75256903654e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38022dda-8534-4ae0-b95f-272a6121fda3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38022dda-8534-4ae0-b95f-272a6121fda3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dabed51d-dff0-440e-a0df-39e371cd005f' class='xr-var-data-in' type='checkbox'><label for='data-dabed51d-dff0-440e-a0df-39e371cd005f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aaa9364f-a11e-4aa1-8dee-9616bc5dc194' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aaa9364f-a11e-4aa1-8dee-9616bc5dc194' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60531959-2cc4-41a0-a5eb-0e1a2755ea88' class='xr-var-data-in' type='checkbox'><label for='data-60531959-2cc4-41a0-a5eb-0e1a2755ea88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-16445337-8578-4579-bc6c-ac529f7edbd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16445337-8578-4579-bc6c-ac529f7edbd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4dcb7ea-80b1-4054-a7ee-970e0e45919a' class='xr-var-data-in' type='checkbox'><label for='data-e4dcb7ea-80b1-4054-a7ee-970e0e45919a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c21c4ccb-769e-4811-b031-b394c978b93b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c21c4ccb-769e-4811-b031-b394c978b93b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0ed0286-f7cb-4033-8168-91f1adc37289' class='xr-var-data-in' type='checkbox'><label for='data-f0ed0286-f7cb-4033-8168-91f1adc37289' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d105f502-45d3-4723-9b33-0da5af64096e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d105f502-45d3-4723-9b33-0da5af64096e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e497808-5dbb-4e64-8191-c400e9fc758b' class='xr-var-data-in' type='checkbox'><label for='data-4e497808-5dbb-4e64-8191-c400e9fc758b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-185343d1-b524-432a-aca1-65ace3d2bfd1' class='xr-section-summary-in' type='checkbox'  ><label for='section-185343d1-b524-432a-aca1-65ace3d2bfd1' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b76f046f-e9ee-43bb-8f27-6a801ac2d166' class='xr-index-data-in' type='checkbox'/><label for='index-b76f046f-e9ee-43bb-8f27-6a801ac2d166' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
        -1578700.0, -1578250.0, -1577800.0, -1577350.0,
        ...
        -1360900.0, -1360450.0, -1360000.0, -1359550.0, -1359100.0, -1358650.0,
        -1358200.0, -1357750.0, -1357300.0, -1356850.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e64573e4-f661-43fa-b1fa-4f7a063342c4' class='xr-index-data-in' type='checkbox'/><label for='index-e64573e4-f661-43fa-b1fa-4f7a063342c4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ac25b65f-f934-46ae-8009-677c94a9e51e' class='xr-index-data-in' type='checkbox'/><label for='index-ac25b65f-f934-46ae-8009-677c94a9e51e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
        -700550.0, -700100.0, -699650.0, -699200.0,
        ...
        -347750.0, -347300.0, -346850.0, -346400.0, -345950.0, -345500.0,
        -345050.0, -344600.0, -344150.0, -343700.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-537eb72a-b30b-4a3d-be54-8f4af5be09c1' class='xr-section-summary-in' type='checkbox'  ><label for='section-537eb72a-b30b-4a3d-be54-8f4af5be09c1' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-151a1c8b-4dc7-4000-8550-736d14626b94' class='xr-section-summary-in' type='checkbox'  ><label for='section-151a1c8b-4dc7-4000-8550-736d14626b94' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1946,9 +1963,9 @@ <h2>Example 2: creating your own workflows<a class="headerlink" href="#example-2
     vx       (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan
     vy       (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan
     err      (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan
-Attributes: (2)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-33038ce1-6f0d-44e9-9dcb-eeb86d5cbb2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-33038ce1-6f0d-44e9-9dcb-eeb86d5cbb2f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 500</li><li><span class='xr-has-index'>y</span>: 800</li><li><span>time</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9ba78d6b-8a23-4b45-9ebf-c069e38fedd7' class='xr-section-summary-in' type='checkbox'  ><label for='section-9ba78d6b-8a23-4b45-9ebf-c069e38fedd7' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-63a40475-7266-477d-a38b-b9dcff067213' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63a40475-7266-477d-a38b-b9dcff067213' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60e41ff6-08f0-45c5-9032-6ca985803a8b' class='xr-var-data-in' type='checkbox'><label for='data-60e41ff6-08f0-45c5-9032-6ca985803a8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-6415da6d-364c-463e-85cc-25c1591196e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6415da6d-364c-463e-85cc-25c1591196e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-266f34f0-b6c4-4044-9ab7-101372278019' class='xr-var-data-in' type='checkbox'><label for='data-266f34f0-b6c4-4044-9ab7-101372278019' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5a24d4a1-dd8f-4b7f-8271-b9d356099b91' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5a24d4a1-dd8f-4b7f-8271-b9d356099b91' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-06ecf06f-2957-4c26-9d24-1adb43e9fe26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06ecf06f-2957-4c26-9d24-1adb43e9fe26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-555f8e9a-e5ac-45d1-899e-ba3f3d5a459e' class='xr-var-data-in' type='checkbox'><label for='data-555f8e9a-e5ac-45d1-899e-ba3f3d5a459e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,
+Attributes: (2)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8979f2e6-c9fc-41a1-9603-f1b98e17e576' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8979f2e6-c9fc-41a1-9603-f1b98e17e576' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 500</li><li><span class='xr-has-index'>y</span>: 800</li><li><span>time</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-418f964e-0eb1-4c46-a3ed-04a86e22d187' class='xr-section-summary-in' type='checkbox'  ><label for='section-418f964e-0eb1-4c46-a3ed-04a86e22d187' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-5f0f3925-8641-43b2-b3a6-b109966cb858' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f0f3925-8641-43b2-b3a6-b109966cb858' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81c5f968-116e-492c-a6fc-0b714154b82b' class='xr-var-data-in' type='checkbox'><label for='data-81c5f968-116e-492c-a6fc-0b714154b82b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-c9ccef5c-b3b1-48fe-8a62-38b53a4c2eac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c9ccef5c-b3b1-48fe-8a62-38b53a4c2eac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a94d3027-1f12-4ab0-ad65-fc509c638a4b' class='xr-var-data-in' type='checkbox'><label for='data-a94d3027-1f12-4ab0-ad65-fc509c638a4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ccc40b79-4bb5-4e97-8eb6-2b92da1941b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ccc40b79-4bb5-4e97-8eb6-2b92da1941b1' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-2600ff5d-0c74-4bb3-a9e6-445e4363fbdd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2600ff5d-0c74-4bb3-a9e6-445e4363fbdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36602e15-866c-413c-9ed0-8bd2bc79b2e2' class='xr-var-data-in' type='checkbox'><label for='data-36602e15-866c-413c-9ed0-8bd2bc79b2e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
         [         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
@@ -1988,7 +2005,7 @@ <h2>Example 2: creating your own workflows<a class="headerlink" href="#example-2
         [         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
         [         nan,          nan,          nan, ...,          nan,
-                  nan,          nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-59f42851-ff31-49ed-a996-e9f1de610c28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59f42851-ff31-49ed-a996-e9f1de610c28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef2ff733-366b-4cb6-9182-91899f403c8c' class='xr-var-data-in' type='checkbox'><label for='data-ef2ff733-366b-4cb6-9182-91899f403c8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[        nan,         nan,         nan, ...,         nan,
+                  nan,          nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-435c865b-ebd4-48de-a504-33be89317ab1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-435c865b-ebd4-48de-a504-33be89317ab1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af1cc3df-253c-407c-a4eb-fd0973667843' class='xr-var-data-in' type='checkbox'><label for='data-af1cc3df-253c-407c-a4eb-fd0973667843' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[        nan,         nan,         nan, ...,         nan,
                  nan,         nan],
         [        nan,         nan,         nan, ...,         nan,
                  nan,         nan],
@@ -2028,7 +2045,7 @@ <h2>Example 2: creating your own workflows<a class="headerlink" href="#example-2
         [        nan,         nan,         nan, ...,         nan,
                  nan,         nan],
         [        nan,         nan,         nan, ...,         nan,
-                 nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-04c6e241-8503-4279-9294-b70046253d5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04c6e241-8503-4279-9294-b70046253d5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca2ad770-bf82-4e1c-9f9c-afcbdffa6e7d' class='xr-var-data-in' type='checkbox'><label for='data-ca2ad770-bf82-4e1c-9f9c-afcbdffa6e7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,
+                 nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-f84b3708-894b-44f8-991e-b92c7e4b3b34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f84b3708-894b-44f8-991e-b92c7e4b3b34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d741130d-f8ec-445a-9482-dca48963c7b1' class='xr-var-data-in' type='checkbox'><label for='data-d741130d-f8ec-445a-9482-dca48963c7b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,
                nan],
         [      nan,       nan,       nan, ...,       nan,       nan,
                nan],
@@ -2068,21 +2085,21 @@ <h2>Example 2: creating your own workflows<a class="headerlink" href="#example-2
         [      nan,       nan,       nan, ...,       nan,       nan,
                nan],
         [      nan,       nan,       nan, ...,       nan,       nan,
-               nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4483f4d1-4dcd-465d-bdd4-2b57ca1acefd' class='xr-section-summary-in' type='checkbox'  ><label for='section-4483f4d1-4dcd-465d-bdd4-2b57ca1acefd' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0c01618a-6334-4a23-b5df-d6cff6900be3' class='xr-index-data-in' type='checkbox'/><label for='index-0c01618a-6334-4a23-b5df-d6cff6900be3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
+               nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-decc4c8a-4cc9-47b2-a2e4-db680c6445c6' class='xr-section-summary-in' type='checkbox'  ><label for='section-decc4c8a-4cc9-47b2-a2e4-db680c6445c6' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-60b52288-5635-4ee3-8980-450ceb6de66d' class='xr-index-data-in' type='checkbox'/><label for='index-60b52288-5635-4ee3-8980-450ceb6de66d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
        -1578700.0, -1578250.0, -1577800.0, -1577350.0,
        ...
        -1360900.0, -1360450.0, -1360000.0, -1359550.0, -1359100.0, -1358650.0,
        -1358200.0, -1357750.0, -1357300.0, -1356850.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d87089f2-7f71-45da-ad36-c3724bd727ce' class='xr-index-data-in' type='checkbox'/><label for='index-d87089f2-7f71-45da-ad36-c3724bd727ce' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5a386faa-3eb1-48cf-bd26-8730ff0183bd' class='xr-index-data-in' type='checkbox'/><label for='index-5a386faa-3eb1-48cf-bd26-8730ff0183bd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
        -700550.0, -700100.0, -699650.0, -699200.0,
        ...
        -347750.0, -347300.0, -346850.0, -346400.0, -345950.0, -345500.0,
        -345050.0, -344600.0, -344150.0, -343700.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d1466afb-e806-412e-b6f1-5fc2b92de67b' class='xr-section-summary-in' type='checkbox'  ><label for='section-d1466afb-e806-412e-b6f1-5fc2b92de67b' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a17410d-9e7a-4792-8515-aef8c6f1359a' class='xr-section-summary-in' type='checkbox'  ><label for='section-3a17410d-9e7a-4792-8515-aef8c6f1359a' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="example-3-creating-your-own-workflows-with-locally-stored-corrections">
-<h2>Example 3: creating your own workflows with locally stored corrections<a class="headerlink" href="#example-3-creating-your-own-workflows-with-locally-stored-corrections" title="Permalink to this headline">#</a></h2>
+<h2>Example 3: creating your own workflows with locally stored corrections<a class="headerlink" href="#example-3-creating-your-own-workflows-with-locally-stored-corrections" title="Permalink to this heading">#</a></h2>
 <p>Consider someone who frequently converts their elevations to be relative to the geoid (rather than the ellipsoid) using a custom, local conversion (otherwise, we’d recommend using an established conversion library like <a class="reference external" href="https://pypi.org/project/pyproj/">pyproj</a> to switch between datums).</p>
 <p>An accessor provides an elegant way to build (once) and apply (as often as needed!) this custom conversion on top of the existing xarray ecosystem without the need to copy-paste the code into the start of each project. By standardizing our approach and adding a few sanity checks within the accessor, we also eliminate the risk of accidentally applying the correction multiple times.</p>
 <div class="cell docutils container">
@@ -2267,11 +2284,10 @@ <h2>Example 3: creating your own workflows with locally stored corrections<a cla
 
               
               
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@@ -2291,10 +2307,7 @@ <h2>Example 3: creating your own workflows with locally stored corrections<a cla
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@@ -2303,6 +2316,7 @@ <h2>Example 3: creating your own workflows with locally stored corrections<a cla
               
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@@ -2336,6 +2350,7 @@ <h2>Example 3: creating your own workflows with locally stored corrections<a cla
   
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@@ -2362,8 +2377,8 @@ <h2>Example 3: creating your own workflows with locally stored corrections<a cla
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diff --git a/advanced/accessors/accessors.html b/advanced/accessors/accessors.html
index 5b5dd6b7..750c6e94 100644
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+++ b/advanced/accessors/accessors.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
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@@ -471,10 +488,10 @@ <h1>apply_ufunc</h1>
               
                 
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   <section class="tex2jax_ignore mathjax_ignore" id="apply-ufunc">
-<h1>apply_ufunc<a class="headerlink" href="#apply-ufunc" title="Permalink to this headline">#</a></h1>
+<h1>apply_ufunc<a class="headerlink" href="#apply-ufunc" title="Permalink to this heading">#</a></h1>
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+
   
 
 <a class="navbar-brand logo" href="../../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
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-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
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+
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 document.write(`
   <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -518,10 +535,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="automatic-vectorization">
-<span id="vectorize"></span><h1>Automatic Vectorization<a class="headerlink" href="#automatic-vectorization" title="Permalink to this headline">#</a></h1>
+<span id="vectorize"></span><h1>Automatic Vectorization<a class="headerlink" href="#automatic-vectorization" title="Permalink to this heading">#</a></h1>
 <p>Previously we looked at <a class="reference internal" href="simple_numpy_apply_ufunc.html#gentle-intro"><span class="std std-ref">applying functions</span></a> on numpy arrays, and the concept of <a class="reference internal" href="core-dimensions.html"><span class="doc std std-doc">core dimensions</span></a>.
 We learned that functions commonly support specifying “core dimensions” through the <code class="docutils literal notranslate"><span class="pre">axis</span></code> keyword
 argument.</p>
@@ -546,7 +563,7 @@ <h2> Contents </h2>
 <li><p>Learn how to apply such functions without loops using <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> by providing the <code class="docutils literal notranslate"><span class="pre">vectorize</span></code> keyword argument.</p></li>
 </ol>
 <section id="core-dimensions-and-looping">
-<h2>Core dimensions and looping<a class="headerlink" href="#core-dimensions-and-looping" title="Permalink to this headline">#</a></h2>
+<h2>Core dimensions and looping<a class="headerlink" href="#core-dimensions-and-looping" title="Permalink to this heading">#</a></h2>
 <p>Let’s say we want to
 interpolate an array with two dimensions (<code class="docutils literal notranslate"><span class="pre">space</span></code>, <code class="docutils literal notranslate"><span class="pre">time</span></code>) over the <code class="docutils literal notranslate"><span class="pre">time</span></code> dimension, we might</p>
 <ol class="arabic simple">
@@ -577,7 +594,7 @@ <h2>Core dimensions and looping<a class="headerlink" href="#core-dimensions-and-
 </div>
 </section>
 <section id="vectorization">
-<h2>Vectorization<a class="headerlink" href="#vectorization" title="Permalink to this headline">#</a></h2>
+<h2>Vectorization<a class="headerlink" href="#vectorization" title="Permalink to this heading">#</a></h2>
 <p>The pattern of looping over any number of “loop dimensions” and applying a function along “core dimensions”
 is so common that numpy provides wrappers that automate these steps:</p>
 <ol class="arabic simple">
@@ -589,7 +606,7 @@ <h2>Vectorization<a class="headerlink" href="#vectorization" title="Permalink to
 that to automatically apply <code class="docutils literal notranslate"><span class="pre">np.interp</span></code> along a single axis of a nD array</p>
 </section>
 <section id="load-data">
-<h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this headline">#</a></h2>
+<h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this heading">#</a></h2>
 <p>First lets load an example dataset</p>
 <div class="admonition tip">
 <p class="admonition-title">Tip</p>
@@ -997,7 +1014,7 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-36331f5a-d0cf-4be9-a75a-b80a3366388f' class='xr-array-in' type='checkbox' ><label for='section-36331f5a-d0cf-4be9-a75a-b80a3366388f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.8 297.1 295.9 296.2 296.8 ... 245.3 244.2 241.9 241.8 241.8</span></div><div class='xr-array-data'><pre>array([[[296.29   , 296.79   , 297.1    ],
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8e59f0c2-fd93-4527-b5bf-a0c4bbe715d1' class='xr-array-in' type='checkbox' ><label for='section-8e59f0c2-fd93-4527-b5bf-a0c4bbe715d1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.8 297.1 295.9 296.2 296.8 ... 245.3 244.2 241.9 241.8 241.8</span></div><div class='xr-array-data'><pre>array([[[296.29   , 296.79   , 297.1    ],
         [295.9    , 296.19998, 296.79   ],
         [296.6    , 296.19998, 296.4    ],
         [297.     , 296.69998, 296.1    ],
@@ -1037,20 +1054,20 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
         [267.69998, 266.29   , 264.4    ],
         [256.6    , 254.7    , 252.09999],
         [246.29999, 245.29999, 244.2    ],
-        [241.89   , 241.79999, 241.79999]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-ac0c49c3-8adb-43a5-9d2f-27ecf7884c50' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ac0c49c3-8adb-43a5-9d2f-27ecf7884c50' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>15.0 17.5 20.0 ... 70.0 72.5 75.0</div><input id='attrs-7af865ca-9f05-45e0-8e68-e14280b1f179' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7af865ca-9f05-45e0-8e68-e14280b1f179' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a0e8526-a93f-4def-b1bb-41605151a794' class='xr-var-data-in' type='checkbox'><label for='data-8a0e8526-a93f-4def-b1bb-41605151a794' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([15. , 17.5, 20. , 22.5, 25. , 27.5, 30. , 32.5, 35. , 37.5, 40. , 42.5,
+        [241.89   , 241.79999, 241.79999]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a43a8c74-35eb-40be-8365-0c3f4d4522c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a43a8c74-35eb-40be-8365-0c3f4d4522c4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>15.0 17.5 20.0 ... 70.0 72.5 75.0</div><input id='attrs-803dd83c-ecb9-4d31-a8c4-89ce00d4a255' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-803dd83c-ecb9-4d31-a8c4-89ce00d4a255' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58231530-a3b5-4055-a997-3dcfc687f487' class='xr-var-data-in' type='checkbox'><label for='data-58231530-a3b5-4055-a997-3dcfc687f487' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([15. , 17.5, 20. , 22.5, 25. , 27.5, 30. , 32.5, 35. , 37.5, 40. , 42.5,
        45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5,
-       75. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0</div><input id='attrs-0268afdc-2754-4baa-abc9-8d6fa3f37110' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0268afdc-2754-4baa-abc9-8d6fa3f37110' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9972307c-16f8-4412-a341-0fcbd94383a3' class='xr-var-data-in' type='checkbox'><label for='data-9972307c-16f8-4412-a341-0fcbd94383a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-405f5c97-493e-4543-bb63-4b94f4e24d8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-405f5c97-493e-4543-bb63-4b94f4e24d8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c22878ce-c323-42b6-b2c5-9d41b4d7e9de' class='xr-var-data-in' type='checkbox'><label for='data-c22878ce-c323-42b6-b2c5-9d41b4d7e9de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       75. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0</div><input id='attrs-7d13527a-3ed4-49dd-9171-51d46d8265f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d13527a-3ed4-49dd-9171-51d46d8265f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6641b89-7158-4758-83c9-9844f22afac6' class='xr-var-data-in' type='checkbox'><label for='data-c6641b89-7158-4758-83c9-9844f22afac6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-dae44c17-5043-4cb7-bdb0-89413dac625a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dae44c17-5043-4cb7-bdb0-89413dac625a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a100ec7-ae3b-4785-a478-a8ae5e74a039' class='xr-var-data-in' type='checkbox'><label for='data-6a100ec7-ae3b-4785-a478-a8ae5e74a039' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, &#x27;2013-01-01T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bf8cebf4-4f4f-4721-90e1-3f09278a0100' class='xr-section-summary-in' type='checkbox'  ><label for='section-bf8cebf4-4f4f-4721-90e1-3f09278a0100' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3d2b257f-284a-4b2e-8bd4-d8d011746f3c' class='xr-index-data-in' type='checkbox'/><label for='index-3d2b257f-284a-4b2e-8bd4-d8d011746f3c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([15.0, 17.5, 20.0, 22.5, 25.0, 27.5, 30.0, 32.5, 35.0, 37.5, 40.0, 42.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0eec0c22-c60e-4dd0-a6ce-f1facdb2facd' class='xr-section-summary-in' type='checkbox'  ><label for='section-0eec0c22-c60e-4dd0-a6ce-f1facdb2facd' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c227f806-327d-48ec-9e17-92f93db28fb2' class='xr-index-data-in' type='checkbox'/><label for='index-c227f806-327d-48ec-9e17-92f93db28fb2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([15.0, 17.5, 20.0, 22.5, 25.0, 27.5, 30.0, 32.5, 35.0, 37.5, 40.0, 42.5,
        45.0, 47.5, 50.0, 52.5, 55.0, 57.5, 60.0, 62.5, 65.0, 67.5, 70.0, 72.5,
        75.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7e8f80ed-ab57-4601-8852-c377c4279d82' class='xr-index-data-in' type='checkbox'/><label for='index-7e8f80ed-ab57-4601-8852-c377c4279d82' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a4addf5b-022b-4b00-860f-48a24bc75e46' class='xr-index-data-in' type='checkbox'/><label for='index-a4addf5b-022b-4b00-860f-48a24bc75e46' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-893152a2-d06a-4b08-aa68-d8d5bcdaf6ef' class='xr-index-data-in' type='checkbox'/><label for='index-893152a2-d06a-4b08-aa68-d8d5bcdaf6ef' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-926169b6-80f3-4575-91f7-00b801892ebb' class='xr-index-data-in' type='checkbox'/><label for='index-926169b6-80f3-4575-91f7-00b801892ebb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-90631ae2-7b56-4600-9bef-d036c50ac7ae' class='xr-section-summary-in' type='checkbox'  ><label for='section-90631ae2-7b56-4600-9bef-d036c50ac7ae' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef0de93f-64c0-41b6-be7c-a0f02f932174' class='xr-section-summary-in' type='checkbox'  ><label for='section-ef0de93f-64c0-41b6-be7c-a0f02f932174' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="review">
-<h2>Review<a class="headerlink" href="#review" title="Permalink to this headline">#</a></h2>
+<h2>Review<a class="headerlink" href="#review" title="Permalink to this heading">#</a></h2>
 <p>We’ll work with the <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> call from the section on <a class="reference internal" href="complex-output-numpy.html#complex-output-change-size"><span class="std std-ref">handling dimensions that change size</span></a>. See the “Handling Complex Output” section for how to get here.</p>
 <p>This version only works with 1D vectors. We will expand that to work with inputs of any number of dimensions.</p>
 <div class="cell docutils container">
@@ -1438,7 +1455,7 @@ <h2>Review<a class="headerlink" href="#review" title="Permalink to this headline
 Coordinates:
     lon      float32 200.0
     time     datetime64[ns] 2013-01-01
-Dimensions without coordinates: lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-23814b08-c48d-4da1-8695-fc93a906c69a' class='xr-array-in' type='checkbox' ><label for='section-23814b08-c48d-4da1-8695-fc93a906c69a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 243.7 243.1 242.5 241.8 241.2</span></div><div class='xr-array-data'><pre>array([296.29000854, 296.19545954, 296.10091053, 296.00636153,
+Dimensions without coordinates: lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9b8bcd53-1982-4d42-9409-985c2c92b012' class='xr-array-in' type='checkbox' ><label for='section-9b8bcd53-1982-4d42-9409-985c2c92b012' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 243.7 243.1 242.5 241.8 241.2</span></div><div class='xr-array-data'><pre>array([296.29000854, 296.19545954, 296.10091053, 296.00636153,
        295.91181252, 296.04848133, 296.21818126, 296.38788119,
        296.55758112, 296.67273227, 296.76970048, 296.8666687 ,
        296.96363692, 296.75757483, 296.36969457, 295.9818143 ,
@@ -1462,11 +1479,11 @@ <h2>Review<a class="headerlink" href="#review" title="Permalink to this headline
        271.59090909, 269.65151515, 267.71212121, 265.        ,
        261.        , 257.        , 253.        , 249.62424168,
        248.12120842, 246.61817516, 245.1151419 , 243.72120019,
-       243.09089938, 242.46059857, 241.83029776, 241.19999695])</pre></div></div></li><li class='xr-section-item'><input id='section-0129d151-69da-4ff7-b06e-1bb45be46368' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0129d151-69da-4ff7-b06e-1bb45be46368' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-b6629cd4-35cb-4672-a6db-83e5d592fb97' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6629cd4-35cb-4672-a6db-83e5d592fb97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ad57fb3-ced0-42d4-89ce-96653ce61269' class='xr-var-data-in' type='checkbox'><label for='data-2ad57fb3-ced0-42d4-89ce-96653ce61269' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-7e67c1f9-9758-4bd0-985b-0cb2efa63476' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e67c1f9-9758-4bd0-985b-0cb2efa63476' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6f9765a-9152-41cb-bc6b-021dfb4dd4dd' class='xr-var-data-in' type='checkbox'><label for='data-b6f9765a-9152-41cb-bc6b-021dfb4dd4dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60215090-4e05-4868-b6c2-cd5d825bf47c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-60215090-4e05-4868-b6c2-cd5d825bf47c' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-36c364d9-cec3-43b8-9657-928957583c5f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-36c364d9-cec3-43b8-9657-928957583c5f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       243.09089938, 242.46059857, 241.83029776, 241.19999695])</pre></div></div></li><li class='xr-section-item'><input id='section-986269f3-e2c5-439c-b198-e25ad323ce37' class='xr-section-summary-in' type='checkbox'  checked><label for='section-986269f3-e2c5-439c-b198-e25ad323ce37' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-5f2d702c-779d-415b-a21c-266e40a748f5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f2d702c-779d-415b-a21c-266e40a748f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-650b8742-c4fb-454e-8187-fc5a3b409177' class='xr-var-data-in' type='checkbox'><label for='data-650b8742-c4fb-454e-8187-fc5a3b409177' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-852dec39-f1b7-4dfa-b859-fad208db6709' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-852dec39-f1b7-4dfa-b859-fad208db6709' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cbe4bb7-3b5f-496f-95f0-fb32de40373b' class='xr-var-data-in' type='checkbox'><label for='data-1cbe4bb7-3b5f-496f-95f0-fb32de40373b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4dab70cf-5802-49b9-bbb2-d4e6d81ffd95' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4dab70cf-5802-49b9-bbb2-d4e6d81ffd95' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-46f0759c-014b-4ff4-8202-9d8efebca904' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-46f0759c-014b-4ff4-8202-9d8efebca904' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="try-nd-input">
-<h2>Try nD input<a class="headerlink" href="#try-nd-input" title="Permalink to this headline">#</a></h2>
+<h2>Try nD input<a class="headerlink" href="#try-nd-input" title="Permalink to this heading">#</a></h2>
 <p>Our goal is to interpolate latitude at every longitude and time, such that we go from a dataset with dimensions <code class="docutils literal notranslate"><span class="pre">(time:</span> <span class="pre">4,</span> <span class="pre">lat:</span> <span class="pre">25,</span> <span class="pre">lon:</span> <span class="pre">3)</span></code> to <code class="docutils literal notranslate"><span class="pre">(time:</span> <span class="pre">4,</span> <span class="pre">lat:</span> <span class="pre">100,</span> <span class="pre">lon:</span> <span class="pre">3)</span></code>.</p>
 <p>If we blindly try passing <code class="docutils literal notranslate"><span class="pre">air</span></code> (a 3D DataArray), we get a hard-to-understand error</p>
 <div class="cell tag_raises-exception docutils container">
@@ -1532,7 +1549,7 @@ <h2>Try nD input<a class="headerlink" href="#try-nd-input" title="Permalink to t
 <p>Instead of passing the full 3D array we want loop over all combinations of <code class="docutils literal notranslate"><span class="pre">lon</span></code> and <code class="docutils literal notranslate"><span class="pre">time</span></code>; and apply our function to each corresponding vector of data along <code class="docutils literal notranslate"><span class="pre">lat</span></code>.</p>
 </section>
 <section id="vectorization-with-np-vectorize">
-<h2>Vectorization with <code class="docutils literal notranslate"><span class="pre">np.vectorize</span></code><a class="headerlink" href="#vectorization-with-np-vectorize" title="Permalink to this headline">#</a></h2>
+<h2>Vectorization with <code class="docutils literal notranslate"><span class="pre">np.vectorize</span></code><a class="headerlink" href="#vectorization-with-np-vectorize" title="Permalink to this heading">#</a></h2>
 <p><code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> makes it easy to loop over the loop dimensions by specifying <code class="docutils literal notranslate"><span class="pre">vectorize=True</span></code>:</p>
 <div class="highlight-none notranslate"><div class="highlight"><pre><span></span>vectorize : bool, optional
     If True, then assume ``func`` only takes arrays defined over core
@@ -1949,7 +1966,7 @@ <h2>Vectorization with <code class="docutils literal notranslate"><span class="p
 Coordinates:
   * lon      (lon) float32 200.0 202.5 205.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2013-01-01T18:00:00
-Dimensions without coordinates: lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lon</span>: 3</li><li><span>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8d6a1c65-a623-4361-b97d-e3ce868f2d42' class='xr-array-in' type='checkbox' ><label for='section-8d6a1c65-a623-4361-b97d-e3ce868f2d42' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 244.1 243.5 243.0 242.4 241.8</span></div><div class='xr-array-data'><pre>array([[[296.29000854, 296.19545954, 296.10091053, ..., 242.46059857,
+Dimensions without coordinates: lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lon</span>: 3</li><li><span>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2bd13e3d-0987-4398-93cb-655f1781c071' class='xr-array-in' type='checkbox' ><label for='section-2bd13e3d-0987-4398-93cb-655f1781c071' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 244.1 243.5 243.0 242.4 241.8</span></div><div class='xr-array-data'><pre>array([[[296.29000854, 296.19545954, 296.10091053, ..., 242.46059857,
          241.83029776, 241.19999695],
         [296.79000854, 296.64697173, 296.50393492, ..., 243.46969697,
          242.98484848, 242.5       ],
@@ -1975,11 +1992,11 @@ <h2>Vectorization with <code class="docutils literal notranslate"><span class="p
         [297.69998169, 297.65150128, 297.60302087, ..., 243.49695749,
          242.64847264, 241.79998779],
         [297.5       , 297.40303178, 297.30606357, ..., 242.9636286 ,
-         242.38180819, 241.79998779]]])</pre></div></div></li><li class='xr-section-item'><input id='section-02a0fff8-7e03-400b-af5b-136788d6b22b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-02a0fff8-7e03-400b-af5b-136788d6b22b' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0</div><input id='attrs-e9f1c08e-7ac5-4020-b7ac-d771e2aa2a85' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9f1c08e-7ac5-4020-b7ac-d771e2aa2a85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9192840e-3967-41b2-81a9-b058968b4908' class='xr-var-data-in' type='checkbox'><label for='data-9192840e-3967-41b2-81a9-b058968b4908' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-f59542f1-8a29-4644-97f8-910081c30efe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f59542f1-8a29-4644-97f8-910081c30efe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1018bf91-c044-4b31-a886-8997470238b1' class='xr-var-data-in' type='checkbox'><label for='data-1018bf91-c044-4b31-a886-8997470238b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+         242.38180819, 241.79998779]]])</pre></div></div></li><li class='xr-section-item'><input id='section-f204be31-348c-4184-8fa0-27184546f223' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f204be31-348c-4184-8fa0-27184546f223' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0</div><input id='attrs-be9c98e4-c2ed-4c8c-b915-c30c9f0f9ddb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be9c98e4-c2ed-4c8c-b915-c30c9f0f9ddb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd8c4e2d-ba02-473c-b669-6ab2d575837d' class='xr-var-data-in' type='checkbox'><label for='data-bd8c4e2d-ba02-473c-b669-6ab2d575837d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-38b0829f-6755-4ba3-9a84-1c6c1cd12f0e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38b0829f-6755-4ba3-9a84-1c6c1cd12f0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52b05c4c-cf50-4884-a63f-3456d549d9b0' class='xr-var-data-in' type='checkbox'><label for='data-52b05c4c-cf50-4884-a63f-3456d549d9b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, &#x27;2013-01-01T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3bbfffe1-0264-481e-a359-c70d4bff9bb4' class='xr-section-summary-in' type='checkbox'  ><label for='section-3bbfffe1-0264-481e-a359-c70d4bff9bb4' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bda4ea4a-b317-4a64-9a4f-0a01b6be35ce' class='xr-index-data-in' type='checkbox'/><label for='index-bda4ea4a-b317-4a64-9a4f-0a01b6be35ce' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ea5cd32c-68b2-4103-abd7-5355e2f0ea7b' class='xr-index-data-in' type='checkbox'/><label for='index-ea5cd32c-68b2-4103-abd7-5355e2f0ea7b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d051c0ce-f048-4b58-8a36-54291dabc999' class='xr-section-summary-in' type='checkbox'  ><label for='section-d051c0ce-f048-4b58-8a36-54291dabc999' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4ffd1f32-9e34-444b-8bf9-60071feec3a0' class='xr-index-data-in' type='checkbox'/><label for='index-4ffd1f32-9e34-444b-8bf9-60071feec3a0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f7be1872-1faf-47e9-9f31-a594fa06b631' class='xr-index-data-in' type='checkbox'/><label for='index-f7be1872-1faf-47e9-9f31-a594fa06b631' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07345054-7a12-406d-932b-b4e3e933eefc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-07345054-7a12-406d-932b-b4e3e933eefc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f7e4444-c951-4316-bc4b-85cfd7a2c957' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2f7e4444-c951-4316-bc4b-85cfd7a2c957' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Wow that worked!</p>
 <p>Notice that</p>
@@ -1999,7 +2016,7 @@ <h2>Vectorization with <code class="docutils literal notranslate"><span class="p
 </div>
 </section>
 <section id="conclusion">
-<h2>Conclusion<a class="headerlink" href="#conclusion" title="Permalink to this headline">#</a></h2>
+<h2>Conclusion<a class="headerlink" href="#conclusion" title="Permalink to this heading">#</a></h2>
 <p>This is why <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> is so convenient; it takes care of a lot of code necessary to apply functions that consume and produce numpy arrays to xarray objects.</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">vectorize</span></code> keyword argument, when set to True, will use <code class="docutils literal notranslate"><span class="pre">numpy.vectorize</span></code> to apply the function by looping over the “loop dimensions” — dimensions that are not the core dimensions for the applied function.</p>
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@@ -2030,11 +2047,10 @@ <h2>Conclusion<a class="headerlink" href="#conclusion" title="Permalink to this
 
               
               
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@@ -515,10 +532,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="handling-complex-output">
-<span id="complex-output"></span><h1>Handling complex output<a class="headerlink" href="#handling-complex-output" title="Permalink to this headline">#</a></h1>
+<span id="complex-output"></span><h1>Handling complex output<a class="headerlink" href="#handling-complex-output" title="Permalink to this heading">#</a></h1>
 <p>We’ve seen how to use <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> to handle relatively simple functions that transform every element, or reduce along a single dimension.</p>
 <p>This lesson will show you how to handle cases where the output is more complex in two ways:</p>
 <ol class="arabic simple">
@@ -526,7 +543,7 @@ <h2> Contents </h2>
 <li><p>Handling the change in size of an existing dimension by specifying <code class="docutils literal notranslate"><span class="pre">exclude_dims</span></code> in addition to <code class="docutils literal notranslate"><span class="pre">output_core_dims</span></code></p></li>
 </ol>
 <section id="introduction">
-<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this headline">#</a></h2>
+<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this heading">#</a></h2>
 <p>A good example of a function that returns relatively complex output is numpy’s 1D interpolate function <code class="docutils literal notranslate"><span class="pre">numpy.interp</span></code>:</p>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span>    Signature: np.interp(x, xp, fp, left=None, right=None, period=None)
     Docstring:
@@ -944,12 +961,12 @@ <h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to t
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4142b737-bdff-487d-96d1-9f11edc7cbbd' class='xr-array-in' type='checkbox' ><label for='section-4142b737-bdff-487d-96d1-9f11edc7cbbd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 295.9 296.6 297.0 295.4 293.8 ... 274.5 266.5 250.0 243.8 241.2</span></div><div class='xr-array-data'><pre>array([296.29   , 295.9    , ..., 243.79999, 241.2    ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-eb4e1125-c9a5-4b00-bb9e-4fd24b92394f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eb4e1125-c9a5-4b00-bb9e-4fd24b92394f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>15.0 17.5 20.0 ... 70.0 72.5 75.0</div><input id='attrs-1e52363f-0f18-444d-8268-ace57c4ccea5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e52363f-0f18-444d-8268-ace57c4ccea5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-daca55af-9c49-4608-9bbd-fc048c21382f' class='xr-var-data-in' type='checkbox'><label for='data-daca55af-9c49-4608-9bbd-fc048c21382f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([15. , 17.5, 20. , 22.5, 25. , 27.5, 30. , 32.5, 35. , 37.5, 40. , 42.5,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-85718bd5-68d6-4d64-b071-7fb38f33c957' class='xr-array-in' type='checkbox' ><label for='section-85718bd5-68d6-4d64-b071-7fb38f33c957' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 295.9 296.6 297.0 295.4 293.8 ... 274.5 266.5 250.0 243.8 241.2</span></div><div class='xr-array-data'><pre>array([296.29   , 295.9    , ..., 243.79999, 241.2    ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-1b897719-e1ec-47ec-9fad-8f156b4b289c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b897719-e1ec-47ec-9fad-8f156b4b289c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>15.0 17.5 20.0 ... 70.0 72.5 75.0</div><input id='attrs-f86c200b-fe41-4f1a-9e85-fca1ed974ebf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f86c200b-fe41-4f1a-9e85-fca1ed974ebf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8b917f6-3e36-40bb-b20e-2c82ceb7ae5c' class='xr-var-data-in' type='checkbox'><label for='data-b8b917f6-3e36-40bb-b20e-2c82ceb7ae5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([15. , 17.5, 20. , 22.5, 25. , 27.5, 30. , 32.5, 35. , 37.5, 40. , 42.5,
        45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5,
-       75. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-8ecb799f-8eaa-46d3-bb87-7b13b01591b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ecb799f-8eaa-46d3-bb87-7b13b01591b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acf36ebe-ebc8-4bba-91dd-6b4498ba8406' class='xr-var-data-in' type='checkbox'><label for='data-acf36ebe-ebc8-4bba-91dd-6b4498ba8406' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-9b9a51d3-975a-45cd-8af4-656a536290e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b9a51d3-975a-45cd-8af4-656a536290e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75bdfcde-8032-434f-a7ca-147df222a10b' class='xr-var-data-in' type='checkbox'><label for='data-75bdfcde-8032-434f-a7ca-147df222a10b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a21c9190-6563-4ca0-ab3d-4c40507b8111' class='xr-section-summary-in' type='checkbox'  ><label for='section-a21c9190-6563-4ca0-ab3d-4c40507b8111' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-31ba5b67-6874-4903-93e8-ecf68a917bab' class='xr-index-data-in' type='checkbox'/><label for='index-31ba5b67-6874-4903-93e8-ecf68a917bab' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([15.0, 17.5, 20.0, 22.5, 25.0, 27.5, 30.0, 32.5, 35.0, 37.5, 40.0, 42.5,
+       75. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-4f8ad28c-b581-4bb1-bf29-c639b83aaba2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f8ad28c-b581-4bb1-bf29-c639b83aaba2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95a0277d-e96e-42fc-8cc3-bfd68f0d9dbf' class='xr-var-data-in' type='checkbox'><label for='data-95a0277d-e96e-42fc-8cc3-bfd68f0d9dbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-6ed4cc42-0e6d-468b-b649-2a9d83c1e1cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ed4cc42-0e6d-468b-b649-2a9d83c1e1cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9b29c4f-7ec6-4b7c-ac36-21192e98c3bd' class='xr-var-data-in' type='checkbox'><label for='data-b9b29c4f-7ec6-4b7c-ac36-21192e98c3bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26e9ef83-22db-4d25-8a8d-9c826ef0ecfd' class='xr-section-summary-in' type='checkbox'  ><label for='section-26e9ef83-22db-4d25-8a8d-9c826ef0ecfd' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d61514d6-6ea6-4243-adf2-d57fbf380f9c' class='xr-index-data-in' type='checkbox'/><label for='index-d61514d6-6ea6-4243-adf2-d57fbf380f9c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([15.0, 17.5, 20.0, 22.5, 25.0, 27.5, 30.0, 32.5, 35.0, 37.5, 40.0, 42.5,
        45.0, 47.5, 50.0, 52.5, 55.0, 57.5, 60.0, 62.5, 65.0, 67.5, 70.0, 72.5,
        75.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f1b80ec1-4653-4fb7-a005-d5303baf2239' class='xr-section-summary-in' type='checkbox'  ><label for='section-f1b80ec1-4653-4fb7-a005-d5303baf2239' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-17406115-e53b-4500-ad04-a98b93c47eb9' class='xr-section-summary-in' type='checkbox'  ><label for='section-17406115-e53b-4500-ad04-a98b93c47eb9' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -967,7 +984,7 @@ <h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to t
 </div>
 </section>
 <section id="adding-a-new-dimension">
-<span id="interp-add-new-dim"></span><h2>Adding a new dimension<a class="headerlink" href="#adding-a-new-dimension" title="Permalink to this headline">#</a></h2>
+<span id="interp-add-new-dim"></span><h2>Adding a new dimension<a class="headerlink" href="#adding-a-new-dimension" title="Permalink to this heading">#</a></h2>
 <p>1D interpolation transforms the size of the input along a single dimension.</p>
 <p>Logically, we can think of this as removing the old dimension and adding a new dimension.</p>
 <p>We provide this information to <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> using the <code class="docutils literal notranslate"><span class="pre">output_core_dims</span></code> keyword argument</p>
@@ -1368,7 +1385,7 @@ <h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to t
 Coordinates:
     lon      float32 200.0
     time     datetime64[ns] 2013-01-01
-Dimensions without coordinates: lat_interp</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>lat_interp</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d6ffb227-798a-426b-a735-25d368e38e67' class='xr-array-in' type='checkbox' ><label for='section-d6ffb227-798a-426b-a735-25d368e38e67' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 243.7 243.1 242.5 241.8 241.2</span></div><div class='xr-array-data'><pre>array([296.29000854, 296.19545954, ..., 241.83029776, 241.19999695])</pre></div></div></li><li class='xr-section-item'><input id='section-d590b61d-2555-4c72-8cf4-0e1324fde8e4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d590b61d-2555-4c72-8cf4-0e1324fde8e4' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-fc268dd3-8319-4763-a509-3744c4e9cfb1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fc268dd3-8319-4763-a509-3744c4e9cfb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6e8d8ca-1a2a-41ac-8316-05aaab548584' class='xr-var-data-in' type='checkbox'><label for='data-e6e8d8ca-1a2a-41ac-8316-05aaab548584' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-a2fbe0e0-84be-40a5-bf75-9a219b849191' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2fbe0e0-84be-40a5-bf75-9a219b849191' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd6f39f-9ef9-40be-957c-f9b18629fa94' class='xr-var-data-in' type='checkbox'><label for='data-ddd6f39f-9ef9-40be-957c-f9b18629fa94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e886e314-891e-4864-bce7-af1893335ca5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e886e314-891e-4864-bce7-af1893335ca5' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a1278845-b815-48e0-bc68-c9644f39b5e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a1278845-b815-48e0-bc68-c9644f39b5e4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: lat_interp</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>lat_interp</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2950978b-2a7c-4287-8b43-b8262ba4780e' class='xr-array-in' type='checkbox' ><label for='section-2950978b-2a7c-4287-8b43-b8262ba4780e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 243.7 243.1 242.5 241.8 241.2</span></div><div class='xr-array-data'><pre>array([296.29000854, 296.19545954, ..., 241.83029776, 241.19999695])</pre></div></div></li><li class='xr-section-item'><input id='section-3703609f-8264-4168-94f9-3a5a957f0626' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3703609f-8264-4168-94f9-3a5a957f0626' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-9375bc7c-7175-4d8b-86c5-c1ded9e0a568' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9375bc7c-7175-4d8b-86c5-c1ded9e0a568' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33327757-94a2-42d5-ab00-6275d04d91a4' class='xr-var-data-in' type='checkbox'><label for='data-33327757-94a2-42d5-ab00-6275d04d91a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-90fc1de7-5bf6-43ac-a6bf-2bd1782c32e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90fc1de7-5bf6-43ac-a6bf-2bd1782c32e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c0baf72-9819-4dd3-aa59-a83e81e9fe8e' class='xr-var-data-in' type='checkbox'><label for='data-2c0baf72-9819-4dd3-aa59-a83e81e9fe8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c9f97182-febc-4aae-a6c2-c36cd25f35e9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c9f97182-febc-4aae-a6c2-c36cd25f35e9' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8072db4b-409e-44b1-b422-185b827346ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8072db4b-409e-44b1-b422-185b827346ec' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="exercise admonition" id="newdim">
 
@@ -1400,7 +1417,7 @@ <h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to t
 </div>
 </section>
 <section id="dimensions-that-change-size">
-<span id="complex-output-change-size"></span><h2>Dimensions that change size<a class="headerlink" href="#dimensions-that-change-size" title="Permalink to this headline">#</a></h2>
+<span id="complex-output-change-size"></span><h2>Dimensions that change size<a class="headerlink" href="#dimensions-that-change-size" title="Permalink to this heading">#</a></h2>
 <p>Imagine that you want the output to have the same dimension name <code class="docutils literal notranslate"><span class="pre">&quot;lat&quot;</span></code> i.e. applying<code class="docutils literal notranslate"><span class="pre">np.interp</span></code> changes the size of the <code class="docutils literal notranslate"><span class="pre">&quot;lat&quot;</span></code> dimension.</p>
 <p>We get an a error if we specify <code class="docutils literal notranslate"><span class="pre">&quot;lat&quot;</span></code> in <code class="docutils literal notranslate"><span class="pre">output_core_dims</span></code></p>
 <div class="cell tag_raises-exception docutils container">
@@ -1419,7 +1436,25 @@ <h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to t
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: size of dimension &#39;lat&#39; on inputs was unexpectedly changed by applied function from 25 to 100. Only dimensions specified in ``exclude_dims`` with xarray.apply_ufunc are allowed to change size.
+<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: size of dimension &#39;lat&#39; on inputs was unexpectedly changed by applied function from 25 to 100. Only dimensions specified in ``exclude_dims`` with xarray.apply_ufunc are allowed to change size. The data returned was:
+
+<span class="n">array</span><span class="p">([</span><span class="mf">296.290009</span><span class="p">,</span> <span class="mf">296.19546</span> <span class="p">,</span> <span class="mf">296.100911</span><span class="p">,</span> <span class="mf">296.006362</span><span class="p">,</span> <span class="mf">295.911813</span><span class="p">,</span> <span class="mf">296.048481</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">296</span><span class="mf">.218181</span><span class="p">,</span> <span class="mf">296.387881</span><span class="p">,</span> <span class="mf">296.557581</span><span class="p">,</span> <span class="mf">296.672732</span><span class="p">,</span> <span class="mf">296.7697</span>  <span class="p">,</span> <span class="mf">296.866669</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">296</span><span class="mf">.963637</span><span class="p">,</span> <span class="mf">296.757575</span><span class="p">,</span> <span class="mf">296.369695</span><span class="p">,</span> <span class="mf">295.981814</span><span class="p">,</span> <span class="mf">295.593934</span><span class="p">,</span> <span class="mf">295.204844</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">294</span><span class="mf">.814545</span><span class="p">,</span> <span class="mf">294.424245</span><span class="p">,</span> <span class="mf">294.033946</span><span class="p">,</span> <span class="mf">293.727281</span><span class="p">,</span> <span class="mf">293.560008</span><span class="p">,</span> <span class="mf">293.392734</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">293</span><span class="mf">.225461</span><span class="p">,</span> <span class="mf">292.924247</span><span class="p">,</span> <span class="mf">292.221211</span><span class="p">,</span> <span class="mf">291.518175</span><span class="p">,</span> <span class="mf">290.815138</span><span class="p">,</span> <span class="mf">290.130285</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">289</span><span class="mf">.572712</span><span class="p">,</span> <span class="mf">289.015139</span><span class="p">,</span> <span class="mf">288.457567</span><span class="p">,</span> <span class="mf">287.899994</span><span class="p">,</span> <span class="mf">287.560601</span><span class="p">,</span> <span class="mf">287.221209</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">286</span><span class="mf">.881817</span><span class="p">,</span> <span class="mf">286.542424</span><span class="p">,</span> <span class="mf">286.096971</span><span class="p">,</span> <span class="mf">285.636366</span><span class="p">,</span> <span class="mf">285.175762</span><span class="p">,</span> <span class="mf">284.715157</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">284</span><span class="mf">.270916</span><span class="p">,</span> <span class="mf">283.832128</span><span class="p">,</span> <span class="mf">283.393341</span><span class="p">,</span> <span class="mf">282.954554</span><span class="p">,</span> <span class="mf">282.36728</span> <span class="p">,</span> <span class="mf">281.690914</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">281</span><span class="mf">.014549</span><span class="p">,</span> <span class="mf">280.338183</span><span class="p">,</span> <span class="mf">279.80606</span> <span class="p">,</span> <span class="mf">279.41818</span> <span class="p">,</span> <span class="mf">279.030299</span><span class="p">,</span> <span class="mf">278.642419</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">278</span><span class="mf">.299086</span><span class="p">,</span> <span class="mf">278.029999</span><span class="p">,</span> <span class="mf">277.760911</span><span class="p">,</span> <span class="mf">277.491824</span><span class="p">,</span> <span class="mf">277.254249</span><span class="p">,</span> <span class="mf">277.111213</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">276</span><span class="mf">.968176</span><span class="p">,</span> <span class="mf">276.825139</span><span class="p">,</span> <span class="mf">276.67574</span> <span class="p">,</span> <span class="mf">276.481803</span><span class="p">,</span> <span class="mf">276.287867</span><span class="p">,</span> <span class="mf">276.09393</span> <span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">275</span><span class="mf">.899994</span><span class="p">,</span> <span class="mf">275.630907</span><span class="p">,</span> <span class="mf">275.361819</span><span class="p">,</span> <span class="mf">275.092732</span><span class="p">,</span> <span class="mf">274.823644</span><span class="p">,</span> <span class="mf">274.558791</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">274</span><span class="mf">.294542</span><span class="p">,</span> <span class="mf">274.030293</span><span class="p">,</span> <span class="mf">273.766044</span><span class="p">,</span> <span class="mf">273.409077</span><span class="p">,</span> <span class="mf">273.021204</span><span class="p">,</span> <span class="mf">272.633331</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">272</span><span class="mf">.245458</span><span class="p">,</span> <span class="mf">272.463642</span><span class="p">,</span> <span class="mf">273.045458</span><span class="p">,</span> <span class="mf">273.627275</span><span class="p">,</span> <span class="mf">274.209092</span><span class="p">,</span> <span class="mf">273.530303</span><span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">271</span><span class="mf">.590909</span><span class="p">,</span> <span class="mf">269.651515</span><span class="p">,</span> <span class="mf">267.712121</span><span class="p">,</span> <span class="mf">265.</span>      <span class="p">,</span> <span class="mf">261.</span>      <span class="p">,</span> <span class="mf">257.</span>      <span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">253</span><span class="o">.</span>      <span class="p">,</span> <span class="mf">249.624242</span><span class="p">,</span> <span class="mf">248.121208</span><span class="p">,</span> <span class="mf">246.618175</span><span class="p">,</span> <span class="mf">245.115142</span><span class="p">,</span> <span class="mf">243.7212</span>  <span class="p">,</span>
+<span class="g g-Whitespace">       </span><span class="mi">243</span><span class="mf">.090899</span><span class="p">,</span> <span class="mf">242.460599</span><span class="p">,</span> <span class="mf">241.830298</span><span class="p">,</span> <span class="mf">241.199997</span><span class="p">])</span>
 </pre></div>
 </div>
 </div>
@@ -1822,11 +1857,11 @@ <h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to t
 Coordinates:
     lon      float32 200.0
     time     datetime64[ns] 2013-01-01
-Dimensions without coordinates: lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5f3730d7-438b-44a6-bde9-30f06ccf4509' class='xr-array-in' type='checkbox' ><label for='section-5f3730d7-438b-44a6-bde9-30f06ccf4509' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 243.7 243.1 242.5 241.8 241.2</span></div><div class='xr-array-data'><pre>array([296.29000854, 296.19545954, ..., 241.83029776, 241.19999695])</pre></div></div></li><li class='xr-section-item'><input id='section-f5de789e-715e-4641-b7f2-4c8ac26bfc3b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f5de789e-715e-4641-b7f2-4c8ac26bfc3b' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-846680cd-c9db-46e8-a69a-dc34382121eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-846680cd-c9db-46e8-a69a-dc34382121eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ad3be41-cfd8-415b-a025-22caf0b30f7e' class='xr-var-data-in' type='checkbox'><label for='data-3ad3be41-cfd8-415b-a025-22caf0b30f7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-da6687c2-8c8b-43af-9a23-d96ad36d3c3d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-da6687c2-8c8b-43af-9a23-d96ad36d3c3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b426e566-f742-4b5e-a3d3-92943431cc36' class='xr-var-data-in' type='checkbox'><label for='data-b426e566-f742-4b5e-a3d3-92943431cc36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc831b6b-5c45-479d-a0b8-fa29dc156c6b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cc831b6b-5c45-479d-a0b8-fa29dc156c6b' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-128b2235-b945-4ab4-9624-8e3237e04b11' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-128b2235-b945-4ab4-9624-8e3237e04b11' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-752f83c6-675f-4207-a232-5edb38cecba8' class='xr-array-in' type='checkbox' ><label for='section-752f83c6-675f-4207-a232-5edb38cecba8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 243.7 243.1 242.5 241.8 241.2</span></div><div class='xr-array-data'><pre>array([296.29000854, 296.19545954, ..., 241.83029776, 241.19999695])</pre></div></div></li><li class='xr-section-item'><input id='section-5edff6be-6012-4d7b-9a26-9dd8db941ccb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5edff6be-6012-4d7b-9a26-9dd8db941ccb' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-582067ec-5907-4eaa-ab26-26dfbdf1b9a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-582067ec-5907-4eaa-ab26-26dfbdf1b9a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eed54c40-63b9-4324-8770-b3eb25e00a10' class='xr-var-data-in' type='checkbox'><label for='data-eed54c40-63b9-4324-8770-b3eb25e00a10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-0dafb820-f563-456e-97c1-2dc65aba7b69' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0dafb820-f563-456e-97c1-2dc65aba7b69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b551c36-15c5-4a9d-804d-a8e93f60a087' class='xr-var-data-in' type='checkbox'><label for='data-0b551c36-15c5-4a9d-804d-a8e93f60a087' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1cfd0bff-3a35-4b6d-9d7d-a6e571a802c6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1cfd0bff-3a35-4b6d-9d7d-a6e571a802c6' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-02f83ba3-5a43-49bd-89c1-fd7cd2b1e02d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-02f83ba3-5a43-49bd-89c1-fd7cd2b1e02d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="returning-multiple-variables">
-<h2>Returning multiple variables<a class="headerlink" href="#returning-multiple-variables" title="Permalink to this headline">#</a></h2>
+<h2>Returning multiple variables<a class="headerlink" href="#returning-multiple-variables" title="Permalink to this heading">#</a></h2>
 <p>Another common, but more complex, case is to handle multiple outputs returned by the function.</p>
 <p>As an example we will write a function that returns the minimum and maximum value along the last axis of the array.</p>
 <p>We will work with a 2D array, and apply the function <code class="docutils literal notranslate"><span class="pre">minmax</span></code> along the <code class="docutils literal notranslate"><span class="pre">&quot;lat&quot;</span></code> dimension:</p>
@@ -2226,27 +2261,27 @@ <h2>Returning multiple variables<a class="headerlink" href="#returning-multiple-
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6b99d47d-2d57-4efa-9d8c-83480f0c21b4' class='xr-array-in' type='checkbox' ><label for='section-6b99d47d-2d57-4efa-9d8c-83480f0c21b4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.8 297.6 296.9 296.8 296.6</span></div><div class='xr-array-data'><pre>array([[241.2    , 242.5    , ..., 235.5    , 238.59999],
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7a9877c6-436f-4743-8b75-094e7fa51534' class='xr-array-in' type='checkbox' ><label for='section-7a9877c6-436f-4743-8b75-094e7fa51534' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.8 297.6 296.9 296.8 296.6</span></div><div class='xr-array-data'><pre>array([[241.2    , 242.5    , ..., 235.5    , 238.59999],
        [243.79999, 244.5    , ..., 235.29999, 239.29999],
        ...,
        [295.9    , 296.19998, ..., 295.9    , 295.19998],
-       [296.29   , 296.79   , ..., 296.79   , 296.6    ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-ce425277-111c-4780-ac80-c4ab3852d18e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ce425277-111c-4780-ac80-c4ab3852d18e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-3d10d49a-278e-4429-bad7-900477472371' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d10d49a-278e-4429-bad7-900477472371' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0474e97-2d00-4ab7-9a0b-af6420f5613f' class='xr-var-data-in' type='checkbox'><label for='data-b0474e97-2d00-4ab7-9a0b-af6420f5613f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+       [296.29   , 296.79   , ..., 296.79   , 296.6    ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-2f1f691c-f69b-492f-a673-532077828e00' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2f1f691c-f69b-492f-a673-532077828e00' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-efd2bc6c-0010-4605-a77f-18860dbc9a6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efd2bc6c-0010-4605-a77f-18860dbc9a6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e18d4ae7-1989-49bf-b2ab-dd15e4e9c6a9' class='xr-var-data-in' type='checkbox'><label for='data-e18d4ae7-1989-49bf-b2ab-dd15e4e9c6a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-3ae8701e-b2c2-46d8-b4f5-5f832f945658' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ae8701e-b2c2-46d8-b4f5-5f832f945658' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbb7915c-a1b8-4c90-b116-5c727505b147' class='xr-var-data-in' type='checkbox'><label for='data-dbb7915c-a1b8-4c90-b116-5c727505b147' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-9468ad7e-03f6-449d-983b-89d8d5ac7a7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9468ad7e-03f6-449d-983b-89d8d5ac7a7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-953828f6-6c53-4cb1-bc82-b339bdda42a1' class='xr-var-data-in' type='checkbox'><label for='data-953828f6-6c53-4cb1-bc82-b339bdda42a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-cf41cfbf-37af-4649-91c0-0008cb60ff7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf41cfbf-37af-4649-91c0-0008cb60ff7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d62b8398-ea4d-4408-9e2c-a6f11f6a1fc7' class='xr-var-data-in' type='checkbox'><label for='data-d62b8398-ea4d-4408-9e2c-a6f11f6a1fc7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff1f6fa7-09cc-41d7-818f-daf49472d887' class='xr-section-summary-in' type='checkbox'  ><label for='section-ff1f6fa7-09cc-41d7-818f-daf49472d887' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eb437bc9-b895-441e-af62-e8e399fcfa4d' class='xr-index-data-in' type='checkbox'/><label for='index-eb437bc9-b895-441e-af62-e8e399fcfa4d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-fd717639-59cd-4e73-adb8-9566116fba51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd717639-59cd-4e73-adb8-9566116fba51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0015dff-5089-472d-87d2-239d144d234d' class='xr-var-data-in' type='checkbox'><label for='data-a0015dff-5089-472d-87d2-239d144d234d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07e95e89-b237-4166-b779-93c1da664711' class='xr-section-summary-in' type='checkbox'  ><label for='section-07e95e89-b237-4166-b779-93c1da664711' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5e842eb7-9682-445f-86cd-c1615238ad59' class='xr-index-data-in' type='checkbox'/><label for='index-5e842eb7-9682-445f-86cd-c1615238ad59' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a63776a1-3505-4267-96ef-cab34e65fc4d' class='xr-index-data-in' type='checkbox'/><label for='index-a63776a1-3505-4267-96ef-cab34e65fc4d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2c88134b-e8cd-408b-8277-486a06def4a2' class='xr-index-data-in' type='checkbox'/><label for='index-2c88134b-e8cd-408b-8277-486a06def4a2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-716621a6-22eb-4e41-96fd-9eec4060a33b' class='xr-section-summary-in' type='checkbox'  ><label for='section-716621a6-22eb-4e41-96fd-9eec4060a33b' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-991a39c5-9e94-4e49-bfaa-43be3461afe6' class='xr-section-summary-in' type='checkbox'  ><label for='section-991a39c5-9e94-4e49-bfaa-43be3461afe6' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>By default, Xarray assumes one array is returned by the applied function.</p>
 <p>Here we have two returned arrays, and the input core dimension <code class="docutils literal notranslate"><span class="pre">&quot;lat&quot;</span></code> is removed (or reduced over).</p>
@@ -2631,18 +2666,18 @@ <h2>Returning multiple variables<a class="headerlink" href="#returning-multiple-
 241.2 242.5 243.5 244.0 243.4 242.4 ... 227.5 228.8 230.6 232.8 235.3 238.6
 Coordinates:
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-    time     datetime64[ns] 2013-01-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8b5c5d4b-15d7-462a-ae79-790195cd817d' class='xr-array-in' type='checkbox' ><label for='section-8b5c5d4b-15d7-462a-ae79-790195cd817d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 243.4 242.4 ... 228.8 230.6 232.8 235.3 238.6</span></div><div class='xr-array-data'><pre>array([241.2    , 242.5    , ..., 235.29999, 238.59999], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6fac258d-9f77-43ce-82cd-f5a74fb0c63c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6fac258d-9f77-43ce-82cd-f5a74fb0c63c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-a3d6f0cd-87d0-4c08-a457-6eee71e97d0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3d6f0cd-87d0-4c08-a457-6eee71e97d0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-593ddf6d-f43c-4fc5-ba36-f5111dced3d3' class='xr-var-data-in' type='checkbox'><label for='data-593ddf6d-f43c-4fc5-ba36-f5111dced3d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+    time     datetime64[ns] 2013-01-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-21cd39a7-6da1-4e8f-9a10-c0e585815dd8' class='xr-array-in' type='checkbox' ><label for='section-21cd39a7-6da1-4e8f-9a10-c0e585815dd8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 243.4 242.4 ... 228.8 230.6 232.8 235.3 238.6</span></div><div class='xr-array-data'><pre>array([241.2    , 242.5    , ..., 235.29999, 238.59999], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-fc04771b-b96b-49d1-9956-2758eeb7451c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fc04771b-b96b-49d1-9956-2758eeb7451c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-4b71ecd2-fb83-4e93-83b0-a0826a725465' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b71ecd2-fb83-4e93-83b0-a0826a725465' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a74a43d-296a-4503-b4df-9f974d75e266' class='xr-var-data-in' type='checkbox'><label for='data-5a74a43d-296a-4503-b4df-9f974d75e266' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-d7e3ea49-4e8b-4426-ab2c-e534d1f61952' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7e3ea49-4e8b-4426-ab2c-e534d1f61952' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cce1a738-069a-415c-877d-0c08ac5c2f39' class='xr-var-data-in' type='checkbox'><label for='data-cce1a738-069a-415c-877d-0c08ac5c2f39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ed4f6fa2-474d-4979-a7d7-4d65426b19cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-ed4f6fa2-474d-4979-a7d7-4d65426b19cc' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-87132ac8-2f8f-4848-89af-70080693d3f8' class='xr-index-data-in' type='checkbox'/><label for='index-87132ac8-2f8f-4848-89af-70080693d3f8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-bf212470-7978-4077-8274-baba82792fa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf212470-7978-4077-8274-baba82792fa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3195f16-d466-4e66-a02f-9f9fa93b203e' class='xr-var-data-in' type='checkbox'><label for='data-f3195f16-d466-4e66-a02f-9f9fa93b203e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-386c4175-6531-48d6-80a0-5f5ea8109980' class='xr-section-summary-in' type='checkbox'  ><label for='section-386c4175-6531-48d6-80a0-5f5ea8109980' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2b4f10c1-76f5-47c0-b5c9-83345b75d458' class='xr-index-data-in' type='checkbox'/><label for='index-2b4f10c1-76f5-47c0-b5c9-83345b75d458' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75257642-45a4-40e7-9818-8de46de71205' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-75257642-45a4-40e7-9818-8de46de71205' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-61203716-3e94-48c2-835d-3543b9a7f48b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-61203716-3e94-48c2-835d-3543b9a7f48b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="exercise admonition" id="generalize">
 
@@ -2699,11 +2734,10 @@ <h2>Returning multiple variables<a class="headerlink" href="#returning-multiple-
 
               
               
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@@ -514,10 +531,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
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   <section class="tex2jax_ignore mathjax_ignore" id="core-dimensions">
-<h1>Core dimensions<a class="headerlink" href="#core-dimensions" title="Permalink to this headline">#</a></h1>
+<h1>Core dimensions<a class="headerlink" href="#core-dimensions" title="Permalink to this heading">#</a></h1>
 <p><a class="reference internal" href="simple_numpy_apply_ufunc.html#gentle-intro"><span class="std std-ref">Previously</span></a> we learned to use <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> on simple functions that acted element by element.</p>
 <p>Here we move on to slightly more complex functions like <code class="docutils literal notranslate"><span class="pre">np.mean</span></code> that can act along a subset of an input array’s dimensions.</p>
 <p>Such operations involve the concept of “core dimensions”.</p>
@@ -527,7 +544,7 @@ <h1>Core dimensions<a class="headerlink" href="#core-dimensions" title="Permalin
 <li><p>Learn that “core dimensions” are automatically moved or transposed to the end of the array.</p></li>
 </ul>
 <section id="introduction">
-<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this headline">#</a></h2>
+<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this heading">#</a></h2>
 <p>For using more complex operations that consider some array values collectively,
 it’s important to understand the idea of <strong>core dimensions</strong>.
 Usually, they correspond to the fundamental dimensions over
@@ -540,7 +557,7 @@ <h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to t
 </div>
 </section>
 <section id="setup">
-<h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">#</a></h2>
+<h2>Setup<a class="headerlink" href="#setup" title="Permalink to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%</span><span class="k">xmode</span> minimal
@@ -945,17 +962,17 @@ <h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-55f44f1d-97a3-4707-b184-f37acb9ef0b0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-55f44f1d-97a3-4707-b184-f37acb9ef0b0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-61a6254e-8a45-49a9-a05c-31d3e5f02ff4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61a6254e-8a45-49a9-a05c-31d3e5f02ff4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-763e1c7c-7585-4fc2-95f1-bd9c9ed4a02f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-763e1c7c-7585-4fc2-95f1-bd9c9ed4a02f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f00da30c-bd9d-40bc-80ad-376aa6153a43' class='xr-var-data-in' type='checkbox'><label for='data-f00da30c-bd9d-40bc-80ad-376aa6153a43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5cf1da68-122b-415e-b7c4-bdd9d8dcab9a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5cf1da68-122b-415e-b7c4-bdd9d8dcab9a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7bbfe4ea-7a90-4749-930a-1456cf1b35da' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7bbfe4ea-7a90-4749-930a-1456cf1b35da' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-ee831d86-70e8-42c5-8b3c-fec6fbb224d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee831d86-70e8-42c5-8b3c-fec6fbb224d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f327774c-e948-47f2-8557-28e4adcda9a4' class='xr-var-data-in' type='checkbox'><label for='data-f327774c-e948-47f2-8557-28e4adcda9a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-4095da1c-0ae0-4b57-afa1-567e18890ff6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4095da1c-0ae0-4b57-afa1-567e18890ff6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38c2768d-b1e6-481a-9869-590ef0f1bc2e' class='xr-var-data-in' type='checkbox'><label for='data-38c2768d-b1e6-481a-9869-590ef0f1bc2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-81f0f099-ae1a-45cb-8662-b6186c7b1512' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81f0f099-ae1a-45cb-8662-b6186c7b1512' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70b0abff-864b-4e1f-a3e0-938e3a78e60d' class='xr-var-data-in' type='checkbox'><label for='data-70b0abff-864b-4e1f-a3e0-938e3a78e60d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-fcff2805-8b4b-4d7a-b277-afb5e6a6068b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcff2805-8b4b-4d7a-b277-afb5e6a6068b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f5c8e0b-fe74-4798-a423-61c36587464c' class='xr-var-data-in' type='checkbox'><label for='data-3f5c8e0b-fe74-4798-a423-61c36587464c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-8b6ce474-5c92-4986-8ff0-2ce87e9b1dea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b6ce474-5c92-4986-8ff0-2ce87e9b1dea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52af2590-bfe9-4a65-b3d4-49eb53607802' class='xr-var-data-in' type='checkbox'><label for='data-52af2590-bfe9-4a65-b3d4-49eb53607802' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-245d97ae-dfc9-4056-b83c-6a0dae44608c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-245d97ae-dfc9-4056-b83c-6a0dae44608c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-b25a2e44-f9ab-4528-a081-64f1fe74c2e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b25a2e44-f9ab-4528-a081-64f1fe74c2e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed6f57e8-8531-4216-8c4d-712b92c32ba0' class='xr-var-data-in' type='checkbox'><label for='data-ed6f57e8-8531-4216-8c4d-712b92c32ba0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , ..., 235.5    , 238.59999],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-99e5707d-8c87-46e4-b0c9-658ea86b026c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-99e5707d-8c87-46e4-b0c9-658ea86b026c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-3f1f61bd-b313-41a8-8b1c-ec56fa226476' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f1f61bd-b313-41a8-8b1c-ec56fa226476' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9f6f5f5-3b98-4130-a277-9f3e1d6e3001' class='xr-var-data-in' type='checkbox'><label for='data-e9f6f5f5-3b98-4130-a277-9f3e1d6e3001' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , ..., 235.5    , 238.59999],
         [243.79999, 244.5    , ..., 235.29999, 239.29999],
         ...,
         [295.9    , 296.19998, ..., 295.9    , 295.19998],
@@ -979,16 +996,16 @@ <h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">
         [249.89   , 249.29   , ..., 240.29   , 241.68999],
         ...,
         [296.09   , 296.88998, ..., 295.69   , 295.19   ],
-        [297.69   , 298.09   , ..., 296.19   , 295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-180ef32e-692c-4a65-ad54-914c7d57390e' class='xr-section-summary-in' type='checkbox'  ><label for='section-180ef32e-692c-4a65-ad54-914c7d57390e' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7ee5b52e-dc6b-4c46-9287-a273cfcb41c7' class='xr-index-data-in' type='checkbox'/><label for='index-7ee5b52e-dc6b-4c46-9287-a273cfcb41c7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+        [297.69   , 298.09   , ..., 296.19   , 295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ac78ff8-10ae-4ef3-b1c1-5c0151d6a1cf' class='xr-section-summary-in' type='checkbox'  ><label for='section-3ac78ff8-10ae-4ef3-b1c1-5c0151d6a1cf' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b1b70883-017d-46e0-958f-44ae1f950587' class='xr-index-data-in' type='checkbox'/><label for='index-b1b70883-017d-46e0-958f-44ae1f950587' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3456c716-5985-4acf-b648-226d653dad3e' class='xr-index-data-in' type='checkbox'/><label for='index-3456c716-5985-4acf-b648-226d653dad3e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-87675813-86ff-4d2d-976a-f08038c75d91' class='xr-index-data-in' type='checkbox'/><label for='index-87675813-86ff-4d2d-976a-f08038c75d91' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-596d2e90-5598-462c-8fd0-22b1e80ae5d0' class='xr-index-data-in' type='checkbox'/><label for='index-596d2e90-5598-462c-8fd0-22b1e80ae5d0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d55d86e2-0acc-427f-a141-92271e5c171d' class='xr-index-data-in' type='checkbox'/><label for='index-d55d86e2-0acc-427f-a141-92271e5c171d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -999,12 +1016,12 @@ <h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad9c1d57-75af-46a0-ac4b-972810158120' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ad9c1d57-75af-46a0-ac4b-972810158120' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-40e280a7-7a5c-474b-aa47-7aee4b9497ff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-40e280a7-7a5c-474b-aa47-7aee4b9497ff' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="reducing-with-np-mean">
-<h2>Reducing with <code class="docutils literal notranslate"><span class="pre">np.mean</span></code><a class="headerlink" href="#reducing-with-np-mean" title="Permalink to this headline">#</a></h2>
+<h2>Reducing with <code class="docutils literal notranslate"><span class="pre">np.mean</span></code><a class="headerlink" href="#reducing-with-np-mean" title="Permalink to this heading">#</a></h2>
 <p>Let’s write a function that computes the mean along <code class="docutils literal notranslate"><span class="pre">time</span></code> for a provided xarray object.</p>
 <p>This function requires one core dimension <code class="docutils literal notranslate"><span class="pre">time</span></code>. For <code class="docutils literal notranslate"><span class="pre">ds.air</span></code> note that <code class="docutils literal notranslate"><span class="pre">time</span></code> is the 0th axis.</p>
 <div class="cell docutils container">
@@ -1406,27 +1423,27 @@ <h2>Reducing with <code class="docutils literal notranslate"><span class="pre">n
 260.4 260.2 259.9 259.5 259.0 258.6 ... 298.0 297.9 297.8 297.3 297.3 297.3
 Coordinates:
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
-  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9ac8c2a4-9f25-456c-8cfa-9856e5822b14' class='xr-array-in' type='checkbox' ><label for='section-9ac8c2a4-9f25-456c-8cfa-9856e5822b14' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>260.4 260.2 259.9 259.5 259.0 258.6 ... 297.9 297.8 297.3 297.3 297.3</span></div><div class='xr-array-data'><pre>array([[260.37564, 260.1826 , ..., 251.93733, 253.43741],
+  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-78a17349-9ef7-472f-a149-5b424e29854f' class='xr-array-in' type='checkbox' ><label for='section-78a17349-9ef7-472f-a149-5b424e29854f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>260.4 260.2 259.9 259.5 259.0 258.6 ... 297.9 297.8 297.3 297.3 297.3</span></div><div class='xr-array-data'><pre>array([[260.37564, 260.1826 , ..., 251.93733, 253.43741],
        [262.7337 , 262.7936 , ..., 251.5852 , 254.35849],
        ...,
        [298.1287 , 297.93646, ..., 296.77686, 296.44348],
-       [298.36594, 298.38593, ..., 297.28104, 297.30502]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6de5c9fa-e529-45d9-b061-f2aac2c61664' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6de5c9fa-e529-45d9-b061-f2aac2c61664' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-d5118fa3-b8d8-4ff6-bb9a-12c08a6f1952' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5118fa3-b8d8-4ff6-bb9a-12c08a6f1952' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4eaeb134-15b7-4c68-8edb-30b172502c21' class='xr-var-data-in' type='checkbox'><label for='data-4eaeb134-15b7-4c68-8edb-30b172502c21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+       [298.36594, 298.38593, ..., 297.28104, 297.30502]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-ad13177c-93c3-48af-909e-79cc4fd6b3fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ad13177c-93c3-48af-909e-79cc4fd6b3fa' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-e68e9724-5b72-48ac-bc45-771758b8d74d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e68e9724-5b72-48ac-bc45-771758b8d74d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4acb76a1-2f12-430d-b6c5-3565dc9051e9' class='xr-var-data-in' type='checkbox'><label for='data-4acb76a1-2f12-430d-b6c5-3565dc9051e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-68dc191a-7eb8-4ee5-9005-e2eb7fa8005f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68dc191a-7eb8-4ee5-9005-e2eb7fa8005f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf93e475-6a5d-49cf-87e1-638a5077958f' class='xr-var-data-in' type='checkbox'><label for='data-cf93e475-6a5d-49cf-87e1-638a5077958f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ba037cb8-f9b8-4bd7-8eea-6f31fda0cda2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba037cb8-f9b8-4bd7-8eea-6f31fda0cda2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-622e013f-d943-46ad-a83f-18aa0fafc4d0' class='xr-var-data-in' type='checkbox'><label for='data-622e013f-d943-46ad-a83f-18aa0fafc4d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-608cae66-227f-4b03-8fe7-e492543946d3' class='xr-section-summary-in' type='checkbox'  ><label for='section-608cae66-227f-4b03-8fe7-e492543946d3' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8848fc62-dfdb-4213-8d2b-742cb8c20a44' class='xr-index-data-in' type='checkbox'/><label for='index-8848fc62-dfdb-4213-8d2b-742cb8c20a44' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee979112-3e77-416f-8ffb-13a3d9a5174d' class='xr-section-summary-in' type='checkbox'  ><label for='section-ee979112-3e77-416f-8ffb-13a3d9a5174d' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ce1eaae4-d0c7-4170-bb58-453f74022fd9' class='xr-index-data-in' type='checkbox'/><label for='index-ce1eaae4-d0c7-4170-bb58-453f74022fd9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3767402d-cc17-4d7e-a3a0-13c6bd28b3c5' class='xr-index-data-in' type='checkbox'/><label for='index-3767402d-cc17-4d7e-a3a0-13c6bd28b3c5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8f99d938-4459-48c1-a420-69ba6e9c57fd' class='xr-index-data-in' type='checkbox'/><label for='index-8f99d938-4459-48c1-a420-69ba6e9c57fd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a2f2cc51-6acb-427d-b960-e191b550e4d6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a2f2cc51-6acb-427d-b960-e191b550e4d6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e77f64b3-0290-48bc-af53-c883bf9b960f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e77f64b3-0290-48bc-af53-c883bf9b960f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1459,7 +1476,16 @@ <h2>Reducing with <code class="docutils literal notranslate"><span class="pre">n
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: applied function returned data with unexpected number of dimensions. Received 2 dimension(s) but expected 3 dimensions with names: (&#39;time&#39;, &#39;lat&#39;, &#39;lon&#39;)
+<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: applied function returned data with an unexpected number of dimensions. Received 2 dimension(s) but expected 3 dimensions with names (&#39;time&#39;, &#39;lat&#39;, &#39;lon&#39;), from:
+
+<span class="n">array</span><span class="p">([[</span><span class="mf">260.37564</span><span class="p">,</span> <span class="mf">260.1826</span> <span class="p">,</span> <span class="mf">259.88593</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">250.81511</span><span class="p">,</span> <span class="mf">251.93733</span><span class="p">,</span> <span class="mf">253.43741</span><span class="p">],</span>
+       <span class="p">[</span><span class="mf">262.7337</span> <span class="p">,</span> <span class="mf">262.7936</span> <span class="p">,</span> <span class="mf">262.7489</span> <span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">249.75496</span><span class="p">,</span> <span class="mf">251.5852</span> <span class="p">,</span> <span class="mf">254.35849</span><span class="p">],</span>
+       <span class="p">[</span><span class="mf">264.7681</span> <span class="p">,</span> <span class="mf">264.3271</span> <span class="p">,</span> <span class="mf">264.0614</span> <span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">250.60707</span><span class="p">,</span> <span class="mf">253.58247</span><span class="p">,</span> <span class="mf">257.71475</span><span class="p">],</span>
+       <span class="o">...</span><span class="p">,</span>
+       <span class="p">[</span><span class="mf">297.64932</span><span class="p">,</span> <span class="mf">296.95294</span><span class="p">,</span> <span class="mf">296.62912</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">296.81033</span><span class="p">,</span> <span class="mf">296.28793</span><span class="p">,</span> <span class="mf">295.81622</span><span class="p">],</span>
+       <span class="p">[</span><span class="mf">298.1287</span> <span class="p">,</span> <span class="mf">297.93646</span><span class="p">,</span> <span class="mf">297.47006</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">296.8591</span> <span class="p">,</span> <span class="mf">296.77686</span><span class="p">,</span> <span class="mf">296.44348</span><span class="p">],</span>
+       <span class="p">[</span><span class="mf">298.36594</span><span class="p">,</span> <span class="mf">298.38593</span><span class="p">,</span> <span class="mf">298.11386</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">297.33777</span><span class="p">,</span> <span class="mf">297.28104</span><span class="p">,</span> <span class="mf">297.30502</span><span class="p">]],</span>
+      <span class="n">dtype</span><span class="o">=</span><span class="n">float32</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -1487,7 +1513,16 @@ <h2>Reducing with <code class="docutils literal notranslate"><span class="pre">n
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: size of dimension &#39;lat&#39; on inputs was unexpectedly changed by applied function from 25 to 53. Only dimensions specified in ``exclude_dims`` with xarray.apply_ufunc are allowed to change size.
+<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: size of dimension &#39;lat&#39; on inputs was unexpectedly changed by applied function from 25 to 53. Only dimensions specified in ``exclude_dims`` with xarray.apply_ufunc are allowed to change size. The data returned was:
+
+<span class="n">array</span><span class="p">([[</span><span class="mf">279.39798</span><span class="p">,</span> <span class="mf">279.05722</span><span class="p">,</span> <span class="mf">279.0104</span> <span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">279.63</span>   <span class="p">,</span> <span class="mf">279.398</span>  <span class="p">,</span> <span class="mf">279.27</span>   <span class="p">],</span>
+       <span class="p">[</span><span class="mf">279.6664</span> <span class="p">,</span> <span class="mf">279.538</span>  <span class="p">,</span> <span class="mf">279.2808</span> <span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">279.934</span>  <span class="p">,</span> <span class="mf">279.66602</span><span class="p">,</span> <span class="mf">279.354</span>  <span class="p">],</span>
+       <span class="p">[</span><span class="mf">279.66122</span><span class="p">,</span> <span class="mf">279.7296</span> <span class="p">,</span> <span class="mf">279.5508</span> <span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">280.534</span>  <span class="p">,</span> <span class="mf">280.31796</span><span class="p">,</span> <span class="mf">279.88202</span><span class="p">],</span>
+       <span class="o">...</span><span class="p">,</span>
+       <span class="p">[</span><span class="mf">279.9508</span> <span class="p">,</span> <span class="mf">279.77563</span><span class="p">,</span> <span class="mf">279.682</span>  <span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">279.802</span>  <span class="p">,</span> <span class="mf">279.766</span>  <span class="p">,</span> <span class="mf">279.42596</span><span class="p">],</span>
+       <span class="p">[</span><span class="mf">280.31522</span><span class="p">,</span> <span class="mf">280.27002</span><span class="p">,</span> <span class="mf">280.19763</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">280.346</span>  <span class="p">,</span> <span class="mf">280.34198</span><span class="p">,</span> <span class="mf">279.96997</span><span class="p">],</span>
+       <span class="p">[</span><span class="mf">280.6624</span> <span class="p">,</span> <span class="mf">280.79764</span><span class="p">,</span> <span class="mf">280.81403</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">280.77798</span><span class="p">,</span> <span class="mf">280.834</span>  <span class="p">,</span> <span class="mf">280.48196</span><span class="p">]],</span>
+      <span class="n">dtype</span><span class="o">=</span><span class="n">float32</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -1523,7 +1558,16 @@ <h2>Reducing with <code class="docutils literal notranslate"><span class="pre">n
 result.shape: (53, 2920)
 </pre></div>
 </div>
-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: size of dimension &#39;lat&#39; on inputs was unexpectedly changed by applied function from 25 to 53. Only dimensions specified in ``exclude_dims`` with xarray.apply_ufunc are allowed to change size.
+<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: size of dimension &#39;lat&#39; on inputs was unexpectedly changed by applied function from 25 to 53. Only dimensions specified in ``exclude_dims`` with xarray.apply_ufunc are allowed to change size. The data returned was:
+
+<span class="n">array</span><span class="p">([[</span><span class="mf">279.39798</span><span class="p">,</span> <span class="mf">279.05722</span><span class="p">,</span> <span class="mf">279.0104</span> <span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">279.63</span>   <span class="p">,</span> <span class="mf">279.398</span>  <span class="p">,</span> <span class="mf">279.27</span>   <span class="p">],</span>
+       <span class="p">[</span><span class="mf">279.6664</span> <span class="p">,</span> <span class="mf">279.538</span>  <span class="p">,</span> <span class="mf">279.2808</span> <span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">279.934</span>  <span class="p">,</span> <span class="mf">279.66602</span><span class="p">,</span> <span class="mf">279.354</span>  <span class="p">],</span>
+       <span class="p">[</span><span class="mf">279.66122</span><span class="p">,</span> <span class="mf">279.7296</span> <span class="p">,</span> <span class="mf">279.5508</span> <span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">280.534</span>  <span class="p">,</span> <span class="mf">280.31796</span><span class="p">,</span> <span class="mf">279.88202</span><span class="p">],</span>
+       <span class="o">...</span><span class="p">,</span>
+       <span class="p">[</span><span class="mf">279.9508</span> <span class="p">,</span> <span class="mf">279.77563</span><span class="p">,</span> <span class="mf">279.682</span>  <span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">279.802</span>  <span class="p">,</span> <span class="mf">279.766</span>  <span class="p">,</span> <span class="mf">279.42596</span><span class="p">],</span>
+       <span class="p">[</span><span class="mf">280.31522</span><span class="p">,</span> <span class="mf">280.27002</span><span class="p">,</span> <span class="mf">280.19763</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">280.346</span>  <span class="p">,</span> <span class="mf">280.34198</span><span class="p">,</span> <span class="mf">279.96997</span><span class="p">],</span>
+       <span class="p">[</span><span class="mf">280.6624</span> <span class="p">,</span> <span class="mf">280.79764</span><span class="p">,</span> <span class="mf">280.81403</span><span class="p">,</span> <span class="o">...</span><span class="p">,</span> <span class="mf">280.77798</span><span class="p">,</span> <span class="mf">280.834</span>  <span class="p">,</span> <span class="mf">280.48196</span><span class="p">]],</span>
+      <span class="n">dtype</span><span class="o">=</span><span class="n">float32</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>
@@ -1948,27 +1992,27 @@ <h2>Reducing with <code class="docutils literal notranslate"><span class="pre">n
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
 Data variables:
-    air      (lat, lon) float32 260.4 260.2 259.9 259.5 ... 297.3 297.3 297.3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3221638a-bfd8-4275-ac6b-55e6e54f7da3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3221638a-bfd8-4275-ac6b-55e6e54f7da3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-af2d08df-e021-486d-835c-9c488c172faa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-af2d08df-e021-486d-835c-9c488c172faa' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-5fb2c9b6-995f-4f93-ad4f-c632c20aa45f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fb2c9b6-995f-4f93-ad4f-c632c20aa45f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b0fe957-142c-4190-8270-fec58e5c711c' class='xr-var-data-in' type='checkbox'><label for='data-3b0fe957-142c-4190-8270-fec58e5c711c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    air      (lat, lon) float32 260.4 260.2 259.9 259.5 ... 297.3 297.3 297.3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a44a4780-addf-42d2-96db-3977cd745f84' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a44a4780-addf-42d2-96db-3977cd745f84' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1b67f756-c295-42f2-95b9-47f2cf5a20f6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b67f756-c295-42f2-95b9-47f2cf5a20f6' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-669b0c10-210a-4980-9523-bf5f266f59ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-669b0c10-210a-4980-9523-bf5f266f59ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7cc1ada-f19a-4eb0-b908-19880f747cd6' class='xr-var-data-in' type='checkbox'><label for='data-a7cc1ada-f19a-4eb0-b908-19880f747cd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-e0c1df3c-d8ce-4cb0-868e-99af75cd59ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0c1df3c-d8ce-4cb0-868e-99af75cd59ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48918cd6-20e7-4c62-bc10-068340bdc0c3' class='xr-var-data-in' type='checkbox'><label for='data-48918cd6-20e7-4c62-bc10-068340bdc0c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-871d93c4-dacf-46a6-8022-198629a15f33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-871d93c4-dacf-46a6-8022-198629a15f33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d2f0022-ee73-418e-aa6a-ade0fd991192' class='xr-var-data-in' type='checkbox'><label for='data-2d2f0022-ee73-418e-aa6a-ade0fd991192' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-39e58438-02e6-4551-8538-6d5cf4c9b701' class='xr-section-summary-in' type='checkbox'  checked><label for='section-39e58438-02e6-4551-8538-6d5cf4c9b701' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>260.4 260.2 259.9 ... 297.3 297.3</div><input id='attrs-8b58d050-3334-49b7-bf8e-26618c19a5dc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b58d050-3334-49b7-bf8e-26618c19a5dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eab8d39c-eeae-4058-a08a-fbd7cc4a3830' class='xr-var-data-in' type='checkbox'><label for='data-eab8d39c-eeae-4058-a08a-fbd7cc4a3830' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[260.37564, 260.1826 , ..., 251.93733, 253.43741],
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e45fcb11-6fa2-4109-8952-ac964e31fd06' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e45fcb11-6fa2-4109-8952-ac964e31fd06' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>260.4 260.2 259.9 ... 297.3 297.3</div><input id='attrs-e898ba12-7b53-4389-aae3-068631517f37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e898ba12-7b53-4389-aae3-068631517f37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-411e9d91-1515-4e6f-8af6-576507ddba6c' class='xr-var-data-in' type='checkbox'><label for='data-411e9d91-1515-4e6f-8af6-576507ddba6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[260.37564, 260.1826 , ..., 251.93733, 253.43741],
        [262.7337 , 262.7936 , ..., 251.5852 , 254.35849],
        ...,
        [298.1287 , 297.93646, ..., 296.77686, 296.44348],
-       [298.36594, 298.38593, ..., 297.28104, 297.30502]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e1ddbc9-8aad-4365-bc23-4dacff7f5086' class='xr-section-summary-in' type='checkbox'  ><label for='section-6e1ddbc9-8aad-4365-bc23-4dacff7f5086' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-652f4bcb-243a-4e6e-a6da-86d60a1c0e65' class='xr-index-data-in' type='checkbox'/><label for='index-652f4bcb-243a-4e6e-a6da-86d60a1c0e65' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       [298.36594, 298.38593, ..., 297.28104, 297.30502]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dbe53f63-648c-4f19-8f6b-bab9f67eec8c' class='xr-section-summary-in' type='checkbox'  ><label for='section-dbe53f63-648c-4f19-8f6b-bab9f67eec8c' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7e664d65-3074-4f48-943b-7c43650a4617' class='xr-index-data-in' type='checkbox'/><label for='index-7e664d65-3074-4f48-943b-7c43650a4617' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1b2b92ed-cf11-4891-8e3f-9865e35ee25b' class='xr-index-data-in' type='checkbox'/><label for='index-1b2b92ed-cf11-4891-8e3f-9865e35ee25b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-069b1f8a-f7b0-47a1-8881-455b92a6ebc4' class='xr-index-data-in' type='checkbox'/><label for='index-069b1f8a-f7b0-47a1-8881-455b92a6ebc4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec4fb028-0016-4512-b827-2245700c95bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec4fb028-0016-4512-b827-2245700c95bf' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5733cfef-972c-4de3-889a-6ca7ac244ff8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5733cfef-972c-4de3-889a-6ca7ac244ff8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
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-<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script data-url_root="../../" id="documentation_options" src="../../_static/documentation_options.js"></script>
     <script src="../../_static/jquery.js"></script>
     <script src="../../_static/underscore.js"></script>
+    <script src="../../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../../_static/doctools.js"></script>
     <script src="../../_static/clipboard.min.js"></script>
     <script src="../../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
   <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -533,10 +550,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="handling-dask-arrays">
-<h1>Handling dask arrays<a class="headerlink" href="#handling-dask-arrays" title="Permalink to this headline">#</a></h1>
+<h1>Handling dask arrays<a class="headerlink" href="#handling-dask-arrays" title="Permalink to this heading">#</a></h1>
 <p>We have previously worked over applying functions to NumPy arrays contained in Xarray objects.
 <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> also lets you easily perform many of the steps involving in applying
 functions that expect and return Dask arrays.</p>
@@ -553,7 +570,7 @@ <h1>Handling dask arrays<a class="headerlink" href="#handling-dask-arrays" title
 <p>We’ll reduce the length of error messages using <code class="docutils literal notranslate"><span class="pre">%xmode</span> <span class="pre">minimal</span></code> See the <a class="reference external" href="https://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-xmode">ipython documentation</a> for details.</p>
 </div>
 <section id="setup">
-<h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">#</a></h2>
+<h2>Setup<a class="headerlink" href="#setup" title="Permalink to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%</span><span class="k">xmode</span> minimal
@@ -592,7 +609,7 @@ <h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">
     <div style="width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;"> </div>
     <div style="margin-left: 48px;">
         <h3 style="margin-bottom: 0px;">Client</h3>
-        <p style="color: #9D9D9D; margin-bottom: 0px;">Client-0af1c766-c3cd-11ee-8d55-7c1e5204f762</p>
+        <p style="color: #9D9D9D; margin-bottom: 0px;">Client-742238c3-cde4-11ee-8d99-6045bdb39b6d</p>
         <table style="width: 100%; text-align: left;">
 
         <tr>
@@ -627,7 +644,7 @@ <h3 style="margin-bottom: 0px;">Client</h3>
     </div>
     <div style="margin-left: 48px;">
         <h3 style="margin-bottom: 0px; margin-top: 0px;">LocalCluster</h3>
-        <p style="color: #9D9D9D; margin-bottom: 0px;">85fac0be</p>
+        <p style="color: #9D9D9D; margin-bottom: 0px;">40a3cc6c</p>
         <table style="width: 100%; text-align: left;">
             <tr>
                 <td style="text-align: left;">
@@ -664,11 +681,11 @@ <h3 style="display: inline;">Scheduler Info</h3>
         <div style="width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;"> </div>
         <div style="margin-left: 48px;">
             <h3 style="margin-bottom: 0px;">Scheduler</h3>
-            <p style="color: #9D9D9D; margin-bottom: 0px;">Scheduler-f1ca320d-d327-4b83-8809-39032f801c68</p>
+            <p style="color: #9D9D9D; margin-bottom: 0px;">Scheduler-c6ee7b92-3b96-496e-b498-1d4be8c5f3c7</p>
             <table style="width: 100%; text-align: left;">
                 <tr>
                     <td style="text-align: left;">
-                        <strong>Comm:</strong> tcp://127.0.0.1:38815
+                        <strong>Comm:</strong> tcp://127.0.0.1:45657
                     </td>
                     <td style="text-align: left;">
                         <strong>Workers:</strong> 4
@@ -710,7 +727,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 0</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:35483
+                            <strong>Comm: </strong> tcp://127.0.0.1:42009
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -718,7 +735,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 0</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:42819/status" target="_blank">http://127.0.0.1:42819/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:42887/status" target="_blank">http://127.0.0.1:42887/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -726,13 +743,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 0</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:34251
+                            <strong>Nanny: </strong> tcp://127.0.0.1:37741
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-ajp_7v7l
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-og6fjuo7
                         </td>
                     </tr>
 
@@ -755,7 +772,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 1</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:35493
+                            <strong>Comm: </strong> tcp://127.0.0.1:38845
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -763,7 +780,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 1</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:46569/status" target="_blank">http://127.0.0.1:46569/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:33093/status" target="_blank">http://127.0.0.1:33093/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -771,13 +788,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 1</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:33463
+                            <strong>Nanny: </strong> tcp://127.0.0.1:46711
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-u3is2nll
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-fun48k6v
                         </td>
                     </tr>
 
@@ -800,7 +817,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 2</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:37679
+                            <strong>Comm: </strong> tcp://127.0.0.1:34689
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -808,7 +825,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 2</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:44323/status" target="_blank">http://127.0.0.1:44323/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:33701/status" target="_blank">http://127.0.0.1:33701/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -816,13 +833,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 2</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:43913
+                            <strong>Nanny: </strong> tcp://127.0.0.1:38497
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-2shi00hh
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-wwyimwwd
                         </td>
                     </tr>
 
@@ -845,7 +862,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:39873
+                            <strong>Comm: </strong> tcp://127.0.0.1:42529
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -853,7 +870,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:38005/status" target="_blank">http://127.0.0.1:38005/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:36163/status" target="_blank">http://127.0.0.1:36163/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -861,13 +878,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:33659
+                            <strong>Nanny: </strong> tcp://127.0.0.1:44171
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-esi_bolr
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-14kbs3pb
                         </td>
                     </tr>
 
@@ -1298,17 +1315,17 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5dd259d1-4c2c-4d2b-a4d4-7d2490d7fda3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5dd259d1-4c2c-4d2b-a4d4-7d2490d7fda3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c0074a38-e371-48d7-bfad-50f17958b1bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c0074a38-e371-48d7-bfad-50f17958b1bf' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a0b5bf0d-8553-4358-ae2a-d83caa917049' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0b5bf0d-8553-4358-ae2a-d83caa917049' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87760a74-bce8-4ead-a6b4-087f11b6f1d2' class='xr-var-data-in' type='checkbox'><label for='data-87760a74-bce8-4ead-a6b4-087f11b6f1d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a4684c3b-3623-4a69-a1ed-11ae59b25bd9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a4684c3b-3623-4a69-a1ed-11ae59b25bd9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b31e2a58-ba55-4268-b040-a23349c13bf1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b31e2a58-ba55-4268-b040-a23349c13bf1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-6a60b1a5-6619-4aae-b946-f0fc3e42736d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a60b1a5-6619-4aae-b946-f0fc3e42736d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2e7003b-8043-4b50-9dfb-1b6533c007a3' class='xr-var-data-in' type='checkbox'><label for='data-e2e7003b-8043-4b50-9dfb-1b6533c007a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-2a4711b2-779a-4cac-b9f4-55c9872941ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a4711b2-779a-4cac-b9f4-55c9872941ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-566aa538-c824-4625-ae52-0c8b9e6ea929' class='xr-var-data-in' type='checkbox'><label for='data-566aa538-c824-4625-ae52-0c8b9e6ea929' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-4ad8e2aa-ef9b-4464-b939-7cfbeb1bafb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ad8e2aa-ef9b-4464-b939-7cfbeb1bafb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-016d3f45-d966-44c4-a207-b12c6a457c52' class='xr-var-data-in' type='checkbox'><label for='data-016d3f45-d966-44c4-a207-b12c6a457c52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-b46e9024-6be5-490b-8c4a-784ca17bf58d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b46e9024-6be5-490b-8c4a-784ca17bf58d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c69f58f-7eee-4016-8ee1-2a03a07cc234' class='xr-var-data-in' type='checkbox'><label for='data-4c69f58f-7eee-4016-8ee1-2a03a07cc234' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-69cdb6a5-0eb0-46cd-8e0a-12936e9f3e27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69cdb6a5-0eb0-46cd-8e0a-12936e9f3e27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e93b698-e885-4667-a0a4-ca41cd3ae1ea' class='xr-var-data-in' type='checkbox'><label for='data-3e93b698-e885-4667-a0a4-ca41cd3ae1ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9e996833-d403-4d0d-bdfc-a62711fe7225' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9e996833-d403-4d0d-bdfc-a62711fe7225' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 25, 53), meta=np.ndarray&gt;</div><input id='attrs-dbd9b250-70d4-4494-b587-27aa13e87908' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbd9b250-70d4-4494-b587-27aa13e87908' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8777cdfc-79aa-499d-8abd-2f092aa4a1c4' class='xr-var-data-in' type='checkbox'><label for='data-8777cdfc-79aa-499d-8abd-2f092aa4a1c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><table>
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4cd7c03c-d18d-4196-bf0a-3a7d75a4b219' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4cd7c03c-d18d-4196-bf0a-3a7d75a4b219' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 25, 53), meta=np.ndarray&gt;</div><input id='attrs-8bb2488b-8199-4ff3-81d3-472e4d333ea8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bb2488b-8199-4ff3-81d3-472e4d333ea8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbc8d957-9e8e-4b58-87c0-dbba33672d3d' class='xr-var-data-in' type='checkbox'><label for='data-dbc8d957-9e8e-4b58-87c0-dbba33672d3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -1422,16 +1439,16 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
 </svg>
         </td>
     </tr>
-</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b7dea43-3b0d-4db5-8c73-79936a9557dd' class='xr-section-summary-in' type='checkbox'  ><label for='section-0b7dea43-3b0d-4db5-8c73-79936a9557dd' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cb87bab3-c6ac-4602-8e42-2c3bd90d15f8' class='xr-index-data-in' type='checkbox'/><label for='index-cb87bab3-c6ac-4602-8e42-2c3bd90d15f8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-06038c88-3e12-4225-becd-fba2984e7062' class='xr-section-summary-in' type='checkbox'  ><label for='section-06038c88-3e12-4225-becd-fba2984e7062' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5e4a2851-9a37-4223-a0f9-559bdae57a39' class='xr-index-data-in' type='checkbox'/><label for='index-5e4a2851-9a37-4223-a0f9-559bdae57a39' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-19361207-a66a-4250-86de-f4c021c40c22' class='xr-index-data-in' type='checkbox'/><label for='index-19361207-a66a-4250-86de-f4c021c40c22' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c50fba27-6c51-4c36-b9d5-ab5088d27566' class='xr-index-data-in' type='checkbox'/><label for='index-c50fba27-6c51-4c36-b9d5-ab5088d27566' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bd352aa1-90e6-49c2-ac26-9c5563418af6' class='xr-index-data-in' type='checkbox'/><label for='index-bd352aa1-90e6-49c2-ac26-9c5563418af6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d4792bf3-e01f-4677-8f6c-aefdb00357b8' class='xr-index-data-in' type='checkbox'/><label for='index-d4792bf3-e01f-4677-8f6c-aefdb00357b8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1442,12 +1459,12 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-320c71d1-e5bf-43c9-b3b3-befa5b9d1981' class='xr-section-summary-in' type='checkbox'  checked><label for='section-320c71d1-e5bf-43c9-b3b3-befa5b9d1981' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c3d816e7-0b51-48bf-abdc-6deac3cc51fe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c3d816e7-0b51-48bf-abdc-6deac3cc51fe' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="a-simple-example">
-<h2>A simple example<a class="headerlink" href="#a-simple-example" title="Permalink to this headline">#</a></h2>
+<h2>A simple example<a class="headerlink" href="#a-simple-example" title="Permalink to this heading">#</a></h2>
 <p>All the concepts from applying numpy functions carry over.</p>
 <p>However the handling of dask arrays needs to be explicitly activated.</p>
 <p>There are three options for the <code class="docutils literal notranslate"><span class="pre">dask</span></code> kwarg.</p>
@@ -2002,7 +2019,7 @@ <h2>A simple example<a class="headerlink" href="#a-simple-example" title="Permal
 Coordinates:
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-201cad7b-3472-4ec8-8da9-06a10fd29003' class='xr-array-in' type='checkbox' ><label for='section-201cad7b-3472-4ec8-8da9-06a10fd29003' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(100, 25, 53), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f7d0d36b-1b45-4f59-b7c4-f7edeca3b5d3' class='xr-array-in' type='checkbox' ><label for='section-f7d0d36b-1b45-4f59-b7c4-f7edeca3b5d3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(100, 25, 53), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -2116,26 +2133,26 @@ <h2>A simple example<a class="headerlink" href="#a-simple-example" title="Permal
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-5b659fef-aaac-4362-bc3d-6781580cd354' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5b659fef-aaac-4362-bc3d-6781580cd354' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-af302410-9be1-47b5-9bdf-f4ca05847659' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af302410-9be1-47b5-9bdf-f4ca05847659' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bd8c3f0-5ded-497b-9aca-497171329785' class='xr-var-data-in' type='checkbox'><label for='data-8bd8c3f0-5ded-497b-9aca-497171329785' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+</table></div></div></li><li class='xr-section-item'><input id='section-65e20254-b4dd-45a9-b3f3-a9338a4125dd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-65e20254-b4dd-45a9-b3f3-a9338a4125dd' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-f6e0eb88-1255-44b6-b98c-e492f73917a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6e0eb88-1255-44b6-b98c-e492f73917a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44413ac4-c6fc-4dfc-a3f9-e5a9fd100222' class='xr-var-data-in' type='checkbox'><label for='data-44413ac4-c6fc-4dfc-a3f9-e5a9fd100222' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-319d3a2d-1490-4d1b-aa97-991f492d4318' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-319d3a2d-1490-4d1b-aa97-991f492d4318' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf890c31-bce2-438f-8d92-2a1172784241' class='xr-var-data-in' type='checkbox'><label for='data-bf890c31-bce2-438f-8d92-2a1172784241' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-efa92086-a6bb-47dd-9976-b9fa4882aaf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efa92086-a6bb-47dd-9976-b9fa4882aaf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-997d7ce9-dc15-456a-b8ba-7b3354e805a0' class='xr-var-data-in' type='checkbox'><label for='data-997d7ce9-dc15-456a-b8ba-7b3354e805a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-28b7adf3-795e-469e-84e8-42f9f46a19d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28b7adf3-795e-469e-84e8-42f9f46a19d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-372d8955-8686-4cad-906b-d3caa39bc983' class='xr-var-data-in' type='checkbox'><label for='data-372d8955-8686-4cad-906b-d3caa39bc983' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-2991be98-d1a5-4197-9b33-9ca2abe24122' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2991be98-d1a5-4197-9b33-9ca2abe24122' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d038ae04-cc9a-4cda-865c-17a5d16b6ed0' class='xr-var-data-in' type='checkbox'><label for='data-d038ae04-cc9a-4cda-865c-17a5d16b6ed0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a77e14b3-f6ba-4fd4-a7b7-aaae1bf227aa' class='xr-section-summary-in' type='checkbox'  ><label for='section-a77e14b3-f6ba-4fd4-a7b7-aaae1bf227aa' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ab61e6be-02c6-4c44-9030-b36c6f375d49' class='xr-index-data-in' type='checkbox'/><label for='index-ab61e6be-02c6-4c44-9030-b36c6f375d49' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c54f4b14-438b-4209-8647-7e8f9b5a8599' class='xr-section-summary-in' type='checkbox'  ><label for='section-c54f4b14-438b-4209-8647-7e8f9b5a8599' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c8215d5d-fc2c-4be1-927b-6bd3a61439a9' class='xr-index-data-in' type='checkbox'/><label for='index-c8215d5d-fc2c-4be1-927b-6bd3a61439a9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ed6079e1-a990-4fb1-a81b-10fe3b425092' class='xr-index-data-in' type='checkbox'/><label for='index-ed6079e1-a990-4fb1-a81b-10fe3b425092' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-06025316-e244-44b1-ba13-2f067ef9bd0c' class='xr-index-data-in' type='checkbox'/><label for='index-06025316-e244-44b1-ba13-2f067ef9bd0c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-50ac3c78-833d-42db-b868-b4353dce26e6' class='xr-index-data-in' type='checkbox'/><label for='index-50ac3c78-833d-42db-b868-b4353dce26e6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-00f40a67-db6e-4f0e-899d-b8a22f993d0c' class='xr-index-data-in' type='checkbox'/><label for='index-00f40a67-db6e-4f0e-899d-b8a22f993d0c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2146,10 +2163,10 @@ <h2>A simple example<a class="headerlink" href="#a-simple-example" title="Permal
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f7cda7e2-c7d2-43d8-abb8-51b00b9583a5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f7cda7e2-c7d2-43d8-abb8-51b00b9583a5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac6b7e29-9eb1-44ea-8d32-6fda71110993' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac6b7e29-9eb1-44ea-8d32-6fda71110993' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <section id="understanding-what-s-happening">
-<h3>Understanding what’s happening<a class="headerlink" href="#understanding-what-s-happening" title="Permalink to this headline">#</a></h3>
+<h3>Understanding what’s happening<a class="headerlink" href="#understanding-what-s-happening" title="Permalink to this heading">#</a></h3>
 <p>Let’s again use the wrapper trick to understand what <code class="docutils literal notranslate"><span class="pre">squared_error</span></code> receives.</p>
 <p>We see that it receives a dask array (analogous to the numpy array in the previous example).</p>
 <div class="cell docutils container">
@@ -2537,7 +2554,7 @@ <h3>Understanding what’s happening<a class="headerlink" href="#understanding-w
 Coordinates:
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0fcc502f-f30e-4279-bfd1-8aa919299b1d' class='xr-array-in' type='checkbox' ><label for='section-0fcc502f-f30e-4279-bfd1-8aa919299b1d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(100, 25, 53), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dbcc0f51-2c08-4840-ac80-8fe255c49a36' class='xr-array-in' type='checkbox' ><label for='section-dbcc0f51-2c08-4840-ac80-8fe255c49a36' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(100, 25, 53), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -2651,26 +2668,26 @@ <h3>Understanding what’s happening<a class="headerlink" href="#understanding-w
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-69795d79-1606-4e85-b1ce-5aff4df2dde8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-69795d79-1606-4e85-b1ce-5aff4df2dde8' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-c1a2879c-fd21-4b01-bbfb-631209e93d43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1a2879c-fd21-4b01-bbfb-631209e93d43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e792811e-5f7c-4cd4-af64-07c455e24c57' class='xr-var-data-in' type='checkbox'><label for='data-e792811e-5f7c-4cd4-af64-07c455e24c57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+</table></div></div></li><li class='xr-section-item'><input id='section-bead1241-6323-4849-a21a-ac24578dc045' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bead1241-6323-4849-a21a-ac24578dc045' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-8f91dc6c-934e-4491-b9a4-10b203d9d33c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f91dc6c-934e-4491-b9a4-10b203d9d33c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f69d6e33-57ab-4324-a68d-1d9c710c6fb7' class='xr-var-data-in' type='checkbox'><label for='data-f69d6e33-57ab-4324-a68d-1d9c710c6fb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-6ee3df86-e891-4d6d-88ba-5cccedeb8537' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ee3df86-e891-4d6d-88ba-5cccedeb8537' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe45ad43-c6f8-4b83-81e6-343a2e174a13' class='xr-var-data-in' type='checkbox'><label for='data-fe45ad43-c6f8-4b83-81e6-343a2e174a13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-367fb05c-2500-4a69-b0eb-7967f02ed410' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-367fb05c-2500-4a69-b0eb-7967f02ed410' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5861f4f-434a-41ea-b848-0c2e4985c960' class='xr-var-data-in' type='checkbox'><label for='data-f5861f4f-434a-41ea-b848-0c2e4985c960' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-22d1889d-b8d7-4da3-a18f-4bcd97dc240a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22d1889d-b8d7-4da3-a18f-4bcd97dc240a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23b2b6d8-f3f2-4b87-8450-157b8e47699f' class='xr-var-data-in' type='checkbox'><label for='data-23b2b6d8-f3f2-4b87-8450-157b8e47699f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-6278a7d4-f6e5-452c-9f65-d481ad99eeba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6278a7d4-f6e5-452c-9f65-d481ad99eeba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71dbd297-42b5-4c5c-bab1-8d569c061040' class='xr-var-data-in' type='checkbox'><label for='data-71dbd297-42b5-4c5c-bab1-8d569c061040' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-034fa777-f94d-4e90-b6e1-a30979d0dad4' class='xr-section-summary-in' type='checkbox'  ><label for='section-034fa777-f94d-4e90-b6e1-a30979d0dad4' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9b1e35bb-8e4d-4b75-9d07-7b2c7b471512' class='xr-index-data-in' type='checkbox'/><label for='index-9b1e35bb-8e4d-4b75-9d07-7b2c7b471512' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f3c6f43-7dec-4c62-987c-6499001c4e6d' class='xr-section-summary-in' type='checkbox'  ><label for='section-5f3c6f43-7dec-4c62-987c-6499001c4e6d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3e3fd1a8-d56f-4ace-8cb6-dc3dcdb3ab97' class='xr-index-data-in' type='checkbox'/><label for='index-3e3fd1a8-d56f-4ace-8cb6-dc3dcdb3ab97' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-639f9f39-8791-4d8c-96e5-cb3a4c6a8b26' class='xr-index-data-in' type='checkbox'/><label for='index-639f9f39-8791-4d8c-96e5-cb3a4c6a8b26' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-df54d914-2aeb-4367-852e-98d091f9a4b3' class='xr-index-data-in' type='checkbox'/><label for='index-df54d914-2aeb-4367-852e-98d091f9a4b3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-755d0987-4790-4476-b432-a4e87f2fba33' class='xr-index-data-in' type='checkbox'/><label for='index-755d0987-4790-4476-b432-a4e87f2fba33' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7abc5efc-f063-462c-8295-662e36eb9604' class='xr-index-data-in' type='checkbox'/><label for='index-7abc5efc-f063-462c-8295-662e36eb9604' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2681,12 +2698,12 @@ <h3>Understanding what’s happening<a class="headerlink" href="#understanding-w
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d68cfdd0-748f-44d7-ae97-b927595e12a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d68cfdd0-748f-44d7-ae97-b927595e12a3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ffe109f-3bfb-4a01-ad95-5417aeee45a1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3ffe109f-3bfb-4a01-ad95-5417aeee45a1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 </section>
 <section id="core-dimensions">
-<h2>Core dimensions<a class="headerlink" href="#core-dimensions" title="Permalink to this headline">#</a></h2>
+<h2>Core dimensions<a class="headerlink" href="#core-dimensions" title="Permalink to this heading">#</a></h2>
 <p><code class="docutils literal notranslate"><span class="pre">squared_error</span></code> operated on a per-element basis. How about a reduction like <code class="docutils literal notranslate"><span class="pre">np.mean</span></code>?</p>
 <p>Such functions involve the concept of “core dimensions”. This concept is independent of the underlying array type, and is a property of the applied function. See the <a class="reference internal" href="core-dimensions.html"><span class="doc std std-doc">core dimensions with NumPy</span></a> tutorial for more.</p>
 <div class="exercise admonition" id="daskmean">
@@ -2741,9 +2758,9 @@ <h2>Core dimensions<a class="headerlink" href="#core-dimensions" title="Permalin
 </div>
 </section>
 <section id="automatically-parallelizing-dask-unaware-functions">
-<h2>Automatically parallelizing dask-unaware functions<a class="headerlink" href="#automatically-parallelizing-dask-unaware-functions" title="Permalink to this headline">#</a></h2>
+<h2>Automatically parallelizing dask-unaware functions<a class="headerlink" href="#automatically-parallelizing-dask-unaware-functions" title="Permalink to this heading">#</a></h2>
 <section id="basics">
-<h3>Basics<a class="headerlink" href="#basics" title="Permalink to this headline">#</a></h3>
+<h3>Basics<a class="headerlink" href="#basics" title="Permalink to this heading">#</a></h3>
 <p>Not all functions can handle dask arrays appropriately by default.</p>
 <p>A very useful <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> feature is the ability to apply arbitrary functions
 in parallel to each block. This ability can be activated using
@@ -2764,8 +2781,8 @@ <h3>Basics<a class="headerlink" href="#basics" title="Permalink to this headline
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/dask/array/core.py:1711: FutureWarning: The `numpy.trapz` function is not implemented by Dask array. You may want to use the da.map_blocks function or something similar to silence this warning. Your code may stop working in a future release.
-  warnings.warn(
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3481/2065701532.py:4: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+  sp.integrate.trapz(
 </pre></div>
 </div>
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>array([[12588.54  , 12582.26  , ..., 15430.039 , 15493.165 ],
@@ -3162,12 +3179,12 @@ <h3>Basics<a class="headerlink" href="#basics" title="Permalink to this headline
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Data variables:
-    air      (time, lat) float32 dask.array&lt;chunksize=(100, 25), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f331b65b-60a6-486f-bbf9-9e4de54984a9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f331b65b-60a6-486f-bbf9-9e4de54984a9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7078c47b-10b8-427e-87df-8bcb207fd6e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7078c47b-10b8-427e-87df-8bcb207fd6e1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-6d06ed5e-094f-4bd8-bb89-a49f55198525' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d06ed5e-094f-4bd8-bb89-a49f55198525' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47b346f1-8634-4533-b5eb-eb05e359abfd' class='xr-var-data-in' type='checkbox'><label for='data-47b346f1-8634-4533-b5eb-eb05e359abfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    air      (time, lat) float32 dask.array&lt;chunksize=(100, 25), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8d746ed1-2c20-4b2a-87b1-0606d72734eb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8d746ed1-2c20-4b2a-87b1-0606d72734eb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-660d7c35-8300-4f58-a6cb-ff59c4528ae4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-660d7c35-8300-4f58-a6cb-ff59c4528ae4' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-e4cd4a06-4553-47b9-a2ef-3c1dee890c78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4cd4a06-4553-47b9-a2ef-3c1dee890c78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11575802-6d9b-4569-ac7c-23c6a6446e81' class='xr-var-data-in' type='checkbox'><label for='data-11575802-6d9b-4569-ac7c-23c6a6446e81' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-3af4ab77-b216-41d7-863f-da240302bc0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3af4ab77-b216-41d7-863f-da240302bc0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63987eb3-f700-4084-b294-4c2c96518592' class='xr-var-data-in' type='checkbox'><label for='data-63987eb3-f700-4084-b294-4c2c96518592' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-bff45950-fc15-4c6c-85e3-591e5abea976' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bff45950-fc15-4c6c-85e3-591e5abea976' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a99961b-b32f-4860-a13f-bec9d305344a' class='xr-var-data-in' type='checkbox'><label for='data-0a99961b-b32f-4860-a13f-bec9d305344a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ebde302-c4d2-458d-a218-d17acb80314e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0ebde302-c4d2-458d-a218-d17acb80314e' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 25), meta=np.ndarray&gt;</div><input id='attrs-7e8833b7-330f-4ef0-9407-72b1d4652456' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7e8833b7-330f-4ef0-9407-72b1d4652456' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8acc7e86-59e3-4103-8bef-3e496e9995fe' class='xr-var-data-in' type='checkbox'><label for='data-8acc7e86-59e3-4103-8bef-3e496e9995fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d28b2386-7988-4adb-ba68-c5776f6b53fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d28b2386-7988-4adb-ba68-c5776f6b53fa' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 25), meta=np.ndarray&gt;</div><input id='attrs-526cbbd6-cd69-457c-8cfc-c3852e60ff1a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-526cbbd6-cd69-457c-8cfc-c3852e60ff1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0be7a7e-411b-4be7-8744-a69fe625cd92' class='xr-var-data-in' type='checkbox'><label for='data-e0be7a7e-411b-4be7-8744-a69fe625cd92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -3240,10 +3257,10 @@ <h3>Basics<a class="headerlink" href="#basics" title="Permalink to this headline
 </svg>
         </td>
     </tr>
-</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ebdadcb6-447a-412a-9b37-ff3d372a7f4b' class='xr-section-summary-in' type='checkbox'  ><label for='section-ebdadcb6-447a-412a-9b37-ff3d372a7f4b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-878267a3-0314-450c-9024-6439a1299e8d' class='xr-index-data-in' type='checkbox'/><label for='index-878267a3-0314-450c-9024-6439a1299e8d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-520b4889-c874-4a6a-b5bd-bfa0b19c71e1' class='xr-section-summary-in' type='checkbox'  ><label for='section-520b4889-c874-4a6a-b5bd-bfa0b19c71e1' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a9bf406d-f39f-4851-ae53-c1d9168cd1cf' class='xr-index-data-in' type='checkbox'/><label for='index-a9bf406d-f39f-4851-ae53-c1d9168cd1cf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d8825be6-8a97-4de0-8af9-d0291de97d71' class='xr-index-data-in' type='checkbox'/><label for='index-d8825be6-8a97-4de0-8af9-d0291de97d71' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8de11fcc-8d4f-4fef-95d2-aa3be5740d1a' class='xr-index-data-in' type='checkbox'/><label for='index-8de11fcc-8d4f-4fef-95d2-aa3be5740d1a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3254,7 +3271,7 @@ <h3>Basics<a class="headerlink" href="#basics" title="Permalink to this headline
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-269f39a4-7477-4b6a-ab3f-47d1a747bafd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-269f39a4-7477-4b6a-ab3f-47d1a747bafd' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e7cd2345-1c32-4e9f-984b-0678239923d8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e7cd2345-1c32-4e9f-984b-0678239923d8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>And make sure the returned data is a dask array</p>
 <div class="cell docutils container">
@@ -3718,20 +3735,20 @@ <h3>Basics<a class="headerlink" href="#basics" title="Permalink to this headline
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Data variables:
-    air      (time, lat) float32 1.259e+04 1.258e+04 ... 1.55e+04 1.554e+04</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1ad4856d-c6ee-401b-a9fb-88c051ab4569' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1ad4856d-c6ee-401b-a9fb-88c051ab4569' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9b81e186-1c30-4d43-aa04-c308e4d0dfbf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b81e186-1c30-4d43-aa04-c308e4d0dfbf' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-8325e06a-6a9c-475c-8c20-a501e332f717' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8325e06a-6a9c-475c-8c20-a501e332f717' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a08707ba-929a-4028-9d5b-e9f137a9ede6' class='xr-var-data-in' type='checkbox'><label for='data-a08707ba-929a-4028-9d5b-e9f137a9ede6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    air      (time, lat) float32 1.259e+04 1.258e+04 ... 1.55e+04 1.554e+04</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5a3ed518-3d9a-4b1c-af7b-194cfa34346f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5a3ed518-3d9a-4b1c-af7b-194cfa34346f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c589c2a2-9027-4aed-a8be-4c55132955b3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c589c2a2-9027-4aed-a8be-4c55132955b3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-e910eb42-1c8a-4761-9b21-4b99d853a6e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e910eb42-1c8a-4761-9b21-4b99d853a6e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0b013be-024e-44cd-824c-ba68142f6788' class='xr-var-data-in' type='checkbox'><label for='data-f0b013be-024e-44cd-824c-ba68142f6788' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-1d9b55b2-8cfc-4e03-a881-5248d431f800' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d9b55b2-8cfc-4e03-a881-5248d431f800' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c0dbf28-c925-4197-aa51-989348699f13' class='xr-var-data-in' type='checkbox'><label for='data-6c0dbf28-c925-4197-aa51-989348699f13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-99362ee7-5c28-4d4c-a5d6-19cb6742a780' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99362ee7-5c28-4d4c-a5d6-19cb6742a780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e09f7d85-d3a0-426f-99fe-732cbaabf873' class='xr-var-data-in' type='checkbox'><label for='data-e09f7d85-d3a0-426f-99fe-732cbaabf873' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-23e9203e-ed4a-4a0a-901b-2bf79ec6e1d2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-23e9203e-ed4a-4a0a-901b-2bf79ec6e1d2' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.259e+04 1.258e+04 ... 1.554e+04</div><input id='attrs-5026be23-735b-4075-ab7f-701d9edd016e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5026be23-735b-4075-ab7f-701d9edd016e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8aa36eaf-4206-4625-898f-0f8129af86c8' class='xr-var-data-in' type='checkbox'><label for='data-8aa36eaf-4206-4625-898f-0f8129af86c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[12588.54  , 12582.26  , ..., 15430.039 , 15493.165 ],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ba6527e-0ca5-44b6-b82e-7db2203965d6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4ba6527e-0ca5-44b6-b82e-7db2203965d6' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.259e+04 1.258e+04 ... 1.554e+04</div><input id='attrs-37fb722d-1b52-4182-b2f0-2a2f8085fc9b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-37fb722d-1b52-4182-b2f0-2a2f8085fc9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3c3e3fa-877e-48b3-b170-8f8dadfa32ee' class='xr-var-data-in' type='checkbox'><label for='data-d3c3e3fa-877e-48b3-b170-8f8dadfa32ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[12588.54  , 12582.26  , ..., 15430.039 , 15493.165 ],
        [12571.841 , 12567.279 , ..., 15413.14  , 15477.346 ],
        ...,
        [12726.679 , 12634.4795, ..., 15454.13  , 15511.4795],
        [12767.33  , 12630.78  , ..., 15495.53  , 15538.18  ]],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a1d7ac7-499c-4343-a591-61eee1de5b54' class='xr-section-summary-in' type='checkbox'  ><label for='section-9a1d7ac7-499c-4343-a591-61eee1de5b54' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ef57c05b-ec8f-4403-b952-d6fe82671f19' class='xr-index-data-in' type='checkbox'/><label for='index-ef57c05b-ec8f-4403-b952-d6fe82671f19' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-83b0f105-62d0-42f5-8305-9377eabf2bed' class='xr-section-summary-in' type='checkbox'  ><label for='section-83b0f105-62d0-42f5-8305-9377eabf2bed' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c34adcb9-444a-4607-a883-aced61542957' class='xr-index-data-in' type='checkbox'/><label for='index-c34adcb9-444a-4607-a883-aced61542957' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-432acab1-73e6-46f2-ac2d-173cb73abc34' class='xr-index-data-in' type='checkbox'/><label for='index-432acab1-73e6-46f2-ac2d-173cb73abc34' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1045b966-0120-499e-b162-e1ce3b73523d' class='xr-index-data-in' type='checkbox'/><label for='index-1045b966-0120-499e-b162-e1ce3b73523d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3742,18 +3759,18 @@ <h3>Basics<a class="headerlink" href="#basics" title="Permalink to this headline
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a383740-cc19-4cb0-8cc1-fd4df57fe392' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4a383740-cc19-4cb0-8cc1-fd4df57fe392' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9290e247-608d-4a56-813f-7061525ccfb4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9290e247-608d-4a56-813f-7061525ccfb4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="understanding-dask-parallelized">
-<h3>Understanding <code class="docutils literal notranslate"><span class="pre">dask=&quot;parallelized&quot;</span></code><a class="headerlink" href="#understanding-dask-parallelized" title="Permalink to this headline">#</a></h3>
+<h3>Understanding <code class="docutils literal notranslate"><span class="pre">dask=&quot;parallelized&quot;</span></code><a class="headerlink" href="#understanding-dask-parallelized" title="Permalink to this heading">#</a></h3>
 <p>It is very important to understand what <code class="docutils literal notranslate"><span class="pre">dask=&quot;parallelized&quot;</span></code> does. To fully understand it, requires understanding some core concepts.</p>
 <div class="admonition seealso">
 <p class="admonition-title">See also</p>
 <p>For <code class="docutils literal notranslate"><span class="pre">dask=&quot;parallelized&quot;</span></code> <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> will call <code class="docutils literal notranslate"><span class="pre">dask.array.apply_gufunc</span></code>. See the dask documentation on <a class="reference external" href="https://docs.dask.org/en/stable/array-gufunc.html">generalized ufuncs</a> and <a class="reference external" href="https://docs.dask.org/en/stable/generated/dask.array.gufunc.apply_gufunc.html"><code class="docutils literal notranslate"><span class="pre">apply_gufunc</span></code></a> for more.</p>
 </div>
 <section id="embarrassingly-parallel-or-blockwise-operations">
-<h4>Embarrassingly parallel or blockwise operations<a class="headerlink" href="#embarrassingly-parallel-or-blockwise-operations" title="Permalink to this headline">#</a></h4>
+<h4>Embarrassingly parallel or blockwise operations<a class="headerlink" href="#embarrassingly-parallel-or-blockwise-operations" title="Permalink to this heading">#</a></h4>
 <p><code class="docutils literal notranslate"><span class="pre">dask=&quot;parallelized&quot;</span></code> works well for “blockwise” or “embarrassingly parallel” operations (<a class="reference external" href="https://en.wikipedia.org/wiki/Embarrassingly_parallel">Wikipedia</a>).</p>
 <p>These are operations where one block or chunk of the output array corresponds to one block or chunk of the input array. Specifically, the blocks or chunks of the <em>core dimension</em> is what matters. Importantly, no communication between blocks is necessary to create the output, which makes parallelization quite simple or “embarrassing”.</p>
 <p>Let’s look at the dask repr for <code class="docutils literal notranslate"><span class="pre">ds</span></code> and note chunksizes are (100,25,53) for a array with shape (2920, 25, 53). This means that each block or chunk of the array contains all <code class="docutils literal notranslate"><span class="pre">lat</span></code>, <code class="docutils literal notranslate"><span class="pre">lon</span></code> points and a subset of <code class="docutils literal notranslate"><span class="pre">time</span></code> points.</p>
@@ -3909,7 +3926,7 @@ <h4>Embarrassingly parallel or blockwise operations<a class="headerlink" href="#
 </div>
 </section>
 <section id="understanding-execution">
-<h4>Understanding execution<a class="headerlink" href="#understanding-execution" title="Permalink to this headline">#</a></h4>
+<h4>Understanding execution<a class="headerlink" href="#understanding-execution" title="Permalink to this heading">#</a></h4>
 <p>We are layering many concepts together there so it is important to understand how the function is executed, and what input it will receive. Again we will use our wrapper trick.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3936,6 +3953,10 @@ <h4>Understanding execution<a class="headerlink" href="#understanding-execution"
 received array of type &lt;class &#39;numpy.ndarray&#39;&gt;, shape (1, 1)
 </pre></div>
 </div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+  result = sp.integrate.trapz(array, **kwargs)
+</pre></div>
+</div>
 <div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
 <defs>
 <symbol id="icon-database" viewBox="0 0 32 32">
@@ -4305,12 +4326,12 @@ <h4>Understanding execution<a class="headerlink" href="#understanding-execution"
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Data variables:
-    air      (time, lat) float32 dask.array&lt;chunksize=(100, 25), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-6051d1d3-6c7a-49af-ae3e-a79d759256cd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6051d1d3-6c7a-49af-ae3e-a79d759256cd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-85196a26-1373-40f3-995f-84315aabd5f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-85196a26-1373-40f3-995f-84315aabd5f0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-92561b4b-01ea-4c83-b3d0-8ccfa6c43387' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92561b4b-01ea-4c83-b3d0-8ccfa6c43387' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61623dba-644a-413c-baea-3b17d68dc2fb' class='xr-var-data-in' type='checkbox'><label for='data-61623dba-644a-413c-baea-3b17d68dc2fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    air      (time, lat) float32 dask.array&lt;chunksize=(100, 25), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bff9a5ff-3984-416d-8ed8-76d422e74529' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bff9a5ff-3984-416d-8ed8-76d422e74529' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e95fcef2-c276-4138-bdcb-5359f24415d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e95fcef2-c276-4138-bdcb-5359f24415d5' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-d9d66d37-3a85-4d5f-a468-3875f395e85f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9d66d37-3a85-4d5f-a468-3875f395e85f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09079d99-eb68-4736-88df-50685c99f39a' class='xr-var-data-in' type='checkbox'><label for='data-09079d99-eb68-4736-88df-50685c99f39a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-f2239f22-f0e6-4f2c-8c40-ca91db569548' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2239f22-f0e6-4f2c-8c40-ca91db569548' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05b7db65-34ef-436b-92bf-d17080f8c339' class='xr-var-data-in' type='checkbox'><label for='data-05b7db65-34ef-436b-92bf-d17080f8c339' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-adf0281b-66c0-4ff4-bca7-dbe45be89dbd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adf0281b-66c0-4ff4-bca7-dbe45be89dbd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14d0c65d-a668-45ce-9b96-c9bcbd6fefad' class='xr-var-data-in' type='checkbox'><label for='data-14d0c65d-a668-45ce-9b96-c9bcbd6fefad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f50a4413-b685-4753-87a4-b005b3706d82' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f50a4413-b685-4753-87a4-b005b3706d82' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 25), meta=np.ndarray&gt;</div><input id='attrs-48616933-3b89-4bb8-8aea-b494c422706a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48616933-3b89-4bb8-8aea-b494c422706a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76aa9613-39eb-4e41-9ab1-347f71472531' class='xr-var-data-in' type='checkbox'><label for='data-76aa9613-39eb-4e41-9ab1-347f71472531' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd0df40c-f0d3-4fc0-8481-787dc36755f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bd0df40c-f0d3-4fc0-8481-787dc36755f0' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 25), meta=np.ndarray&gt;</div><input id='attrs-2507d1ce-6885-421b-bf68-ec3fa2de6177' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2507d1ce-6885-421b-bf68-ec3fa2de6177' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6924edec-1b1f-4d05-8df2-375733b2a68e' class='xr-var-data-in' type='checkbox'><label for='data-6924edec-1b1f-4d05-8df2-375733b2a68e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -4383,10 +4404,10 @@ <h4>Understanding execution<a class="headerlink" href="#understanding-execution"
 </svg>
         </td>
     </tr>
-</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-fdb040fd-f679-4ecb-9322-ff2893df9ee1' class='xr-section-summary-in' type='checkbox'  ><label for='section-fdb040fd-f679-4ecb-9322-ff2893df9ee1' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ee73266a-3fde-44b9-921f-d1734e761413' class='xr-index-data-in' type='checkbox'/><label for='index-ee73266a-3fde-44b9-921f-d1734e761413' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-55c18bcd-0ffc-4631-bd8f-4e03cfd93b4e' class='xr-section-summary-in' type='checkbox'  ><label for='section-55c18bcd-0ffc-4631-bd8f-4e03cfd93b4e' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-edb44ad6-b1b4-459a-87f0-ffaf426e5156' class='xr-index-data-in' type='checkbox'/><label for='index-edb44ad6-b1b4-459a-87f0-ffaf426e5156' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d3e5f5ba-c55e-4aab-8f72-7a8afdc15e31' class='xr-index-data-in' type='checkbox'/><label for='index-d3e5f5ba-c55e-4aab-8f72-7a8afdc15e31' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ac208a27-0fd5-4738-b2fd-36a1dd918f67' class='xr-index-data-in' type='checkbox'/><label for='index-ac208a27-0fd5-4738-b2fd-36a1dd918f67' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -4397,7 +4418,7 @@ <h4>Understanding execution<a class="headerlink" href="#understanding-execution"
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-700c06f4-a723-4f74-b9c2-3f755d3df3e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-700c06f4-a723-4f74-b9c2-3f755d3df3e4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e907a81a-8b6c-47f5-a3bf-bb4ad75ae02c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e907a81a-8b6c-47f5-a3bf-bb4ad75ae02c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Note that we received an Xarray object back (<code class="docutils literal notranslate"><span class="pre">integrated</span></code>) but our wrapper function was called with a numpy array of shape <code class="docutils literal notranslate"><span class="pre">(1,1,1)</span></code>.</p>
 <div class="admonition important">
@@ -4429,6 +4450,38 @@ <h4>Understanding execution<a class="headerlink" href="#understanding-execution"
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+/tmp/ipykernel_3481/2804912483.py:3: DeprecationWarning: &#39;scipy.integrate.trapz&#39; is deprecated in favour of &#39;scipy.integrate.trapezoid&#39; and will be removed in SciPy 1.14.0
+</pre></div>
+</div>
 <div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
 <defs>
 <symbol id="icon-database" viewBox="0 0 32 32">
@@ -4798,20 +4851,20 @@ <h4>Understanding execution<a class="headerlink" href="#understanding-execution"
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Data variables:
-    air      (time, lat) float32 1.259e+04 1.258e+04 ... 1.55e+04 1.554e+04</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bd3a9c1a-5e36-4477-bd51-48e07857468d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bd3a9c1a-5e36-4477-bd51-48e07857468d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f5e712cc-d61e-488c-b026-45bf841df5c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f5e712cc-d61e-488c-b026-45bf841df5c4' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-72528cb1-33aa-469e-8d75-a51421604b64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72528cb1-33aa-469e-8d75-a51421604b64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02b2db58-dcba-4bab-afa4-ab2ccaa33453' class='xr-var-data-in' type='checkbox'><label for='data-02b2db58-dcba-4bab-afa4-ab2ccaa33453' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    air      (time, lat) float32 1.259e+04 1.258e+04 ... 1.55e+04 1.554e+04</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7d33f5ca-3d94-47ed-9fde-aa4e532fae42' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7d33f5ca-3d94-47ed-9fde-aa4e532fae42' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d2b5cdfc-c072-4c70-bafc-b3910d3fea22' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d2b5cdfc-c072-4c70-bafc-b3910d3fea22' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-e1aba557-1725-4288-bc6c-3348e9305a71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1aba557-1725-4288-bc6c-3348e9305a71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43767aa4-9168-434c-baca-f475e9f31236' class='xr-var-data-in' type='checkbox'><label for='data-43767aa4-9168-434c-baca-f475e9f31236' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-98930d35-00d3-4096-8055-7c4d08116738' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98930d35-00d3-4096-8055-7c4d08116738' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb9fb563-e4d3-45a5-acb4-11bf1a8b3c7b' class='xr-var-data-in' type='checkbox'><label for='data-bb9fb563-e4d3-45a5-acb4-11bf1a8b3c7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-2e378808-e8ea-4d38-ac9f-e6031e0e6f04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e378808-e8ea-4d38-ac9f-e6031e0e6f04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00eb6620-dbf2-4ea0-b20d-e59fd8cdb451' class='xr-var-data-in' type='checkbox'><label for='data-00eb6620-dbf2-4ea0-b20d-e59fd8cdb451' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-35886e94-8872-40c1-8c32-588c49339c94' class='xr-section-summary-in' type='checkbox'  checked><label for='section-35886e94-8872-40c1-8c32-588c49339c94' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.259e+04 1.258e+04 ... 1.554e+04</div><input id='attrs-6bf2d5fd-dc7b-4c38-8247-030ebbed87fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6bf2d5fd-dc7b-4c38-8247-030ebbed87fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87c9473d-25f5-447d-b184-72e38b83e348' class='xr-var-data-in' type='checkbox'><label for='data-87c9473d-25f5-447d-b184-72e38b83e348' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[12588.54  , 12582.26  , ..., 15430.039 , 15493.165 ],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1d8e9ff1-dc6c-45ef-91b4-3306cd0e3435' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1d8e9ff1-dc6c-45ef-91b4-3306cd0e3435' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.259e+04 1.258e+04 ... 1.554e+04</div><input id='attrs-2469b090-fca9-4a87-8583-e4e18617ce51' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2469b090-fca9-4a87-8583-e4e18617ce51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d22222aa-b696-4015-b842-42960b921fca' class='xr-var-data-in' type='checkbox'><label for='data-d22222aa-b696-4015-b842-42960b921fca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[12588.54  , 12582.26  , ..., 15430.039 , 15493.165 ],
        [12571.841 , 12567.279 , ..., 15413.14  , 15477.346 ],
        ...,
        [12726.679 , 12634.4795, ..., 15454.13  , 15511.4795],
        [12767.33  , 12630.78  , ..., 15495.53  , 15538.18  ]],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cc23c3f-5c56-437b-9846-d4869f163e73' class='xr-section-summary-in' type='checkbox'  ><label for='section-6cc23c3f-5c56-437b-9846-d4869f163e73' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7a4ca94c-cee6-4c34-91e9-1d9e60476cf3' class='xr-index-data-in' type='checkbox'/><label for='index-7a4ca94c-cee6-4c34-91e9-1d9e60476cf3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2fc63d73-be4e-412b-a00b-6149c2449ee9' class='xr-section-summary-in' type='checkbox'  ><label for='section-2fc63d73-be4e-412b-a00b-6149c2449ee9' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-49a06350-aaa8-4b4c-908f-4b79130e5fb2' class='xr-index-data-in' type='checkbox'/><label for='index-49a06350-aaa8-4b4c-908f-4b79130e5fb2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cc40f685-7507-4c45-a9b4-0a3a42b3d333' class='xr-index-data-in' type='checkbox'/><label for='index-cc40f685-7507-4c45-a9b4-0a3a42b3d333' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b4e83228-5e03-47a0-b80a-ca804cae0657' class='xr-index-data-in' type='checkbox'/><label for='index-b4e83228-5e03-47a0-b80a-ca804cae0657' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -4822,7 +4875,7 @@ <h4>Understanding execution<a class="headerlink" href="#understanding-execution"
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47330060-efde-4712-b4ab-1045f03e60b9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-47330060-efde-4712-b4ab-1045f03e60b9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-151967cc-15b2-4085-b8a2-adb2b41e65ba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-151967cc-15b2-4085-b8a2-adb2b41e65ba' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>We see that <code class="docutils literal notranslate"><span class="pre">integrate_wrapper</span></code> is called many times! As many times as there are blocks in the array in fact, which is 30 here (<code class="docutils literal notranslate"><span class="pre">ds.air.data.numblocks</span></code>).</p>
 <p>Our function is independently executed on each block of the array, and then the results are concatenated to form the final result.</p>
@@ -4842,13 +4895,13 @@ <h4>Understanding execution<a class="headerlink" href="#understanding-execution"
 </section>
 </section>
 <section id="more-complex-situations">
-<h2>More complex situations<a class="headerlink" href="#more-complex-situations" title="Permalink to this headline">#</a></h2>
+<h2>More complex situations<a class="headerlink" href="#more-complex-situations" title="Permalink to this heading">#</a></h2>
 <p>Here we quickly demonstrate that all the concepts from the numpy material earlier carry over.</p>
 <p>Xarray needs a lot of extra metadata, so depending
 on the function, extra arguments such as <code class="docutils literal notranslate"><span class="pre">output_dtypes</span></code> and <code class="docutils literal notranslate"><span class="pre">output_sizes</span></code> may
 be necessary for supporting dask arrays. We demonstrate this below.</p>
 <section id="adding-new-dimensions">
-<h3>Adding new dimensions<a class="headerlink" href="#adding-new-dimensions" title="Permalink to this headline">#</a></h3>
+<h3>Adding new dimensions<a class="headerlink" href="#adding-new-dimensions" title="Permalink to this heading">#</a></h3>
 <p>We use the <a class="reference internal" href="complex-output-numpy.html#newdim"><span class="std std-ref">expand_dims example</span></a> that changes the size of the input along a single dimension.</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">add_new_dim</span><span class="p">(</span><span class="n">array</span><span class="p">):</span>
     <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">expand_dims</span><span class="p">(</span><span class="n">array</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
@@ -5273,7 +5326,7 @@ <h3>Adding new dimensions<a class="headerlink" href="#adding-new-dimensions" tit
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
-Dimensions without coordinates: newdim</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li><li><span>newdim</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0990145b-0cd1-42dc-85b0-e623a50f6511' class='xr-array-in' type='checkbox' ><label for='section-0990145b-0cd1-42dc-85b0-e623a50f6511' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(2, 25, 2, 1), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+Dimensions without coordinates: newdim</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li><li><span>newdim</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9d64e1c7-4642-47ff-8efa-7109c2ac18c0' class='xr-array-in' type='checkbox' ><label for='section-9d64e1c7-4642-47ff-8efa-7109c2ac18c0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(2, 25, 2, 1), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -5450,26 +5503,26 @@ <h3>Adding new dimensions<a class="headerlink" href="#adding-new-dimensions" tit
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-282a1dd3-7efb-4b52-9f0a-5a27b67253db' class='xr-section-summary-in' type='checkbox'  checked><label for='section-282a1dd3-7efb-4b52-9f0a-5a27b67253db' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-46ab3318-876a-4bf3-9104-5746a58a3d02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46ab3318-876a-4bf3-9104-5746a58a3d02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa86ac8f-a551-4781-8e15-eb4713defd62' class='xr-var-data-in' type='checkbox'><label for='data-aa86ac8f-a551-4781-8e15-eb4713defd62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+</table></div></div></li><li class='xr-section-item'><input id='section-3963b162-b199-468b-ace4-ca4448331b09' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3963b162-b199-468b-ace4-ca4448331b09' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-fd22d62d-1354-4f30-9872-dafb32da0186' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd22d62d-1354-4f30-9872-dafb32da0186' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34f47d9d-dad5-4adb-970b-599fec386448' class='xr-var-data-in' type='checkbox'><label for='data-34f47d9d-dad5-4adb-970b-599fec386448' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-2d2b111d-2546-4b1e-8d17-b2b31807d9fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d2b111d-2546-4b1e-8d17-b2b31807d9fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd463d1a-09c4-4c80-9903-f4cd18913fc6' class='xr-var-data-in' type='checkbox'><label for='data-fd463d1a-09c4-4c80-9903-f4cd18913fc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-6186bd19-0cbc-4a89-a135-3ae864e74119' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6186bd19-0cbc-4a89-a135-3ae864e74119' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1b241e7-3b54-4aa2-9a82-90538e4492fa' class='xr-var-data-in' type='checkbox'><label for='data-d1b241e7-3b54-4aa2-9a82-90538e4492fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-520f7a45-e92b-4041-9091-d701a4531bcc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-520f7a45-e92b-4041-9091-d701a4531bcc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af73c61e-92b7-40d5-a401-ec51c636da70' class='xr-var-data-in' type='checkbox'><label for='data-af73c61e-92b7-40d5-a401-ec51c636da70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-dca43cfe-41ad-412d-9650-eca54736ad9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dca43cfe-41ad-412d-9650-eca54736ad9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c0bdb9e-84be-4cc7-9133-903c3755ee62' class='xr-var-data-in' type='checkbox'><label for='data-8c0bdb9e-84be-4cc7-9133-903c3755ee62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-55a3498a-da3f-4537-9bd5-28d90d2fe998' class='xr-section-summary-in' type='checkbox'  ><label for='section-55a3498a-da3f-4537-9bd5-28d90d2fe998' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5b20a0f0-b8ea-4941-8888-d632f993266a' class='xr-index-data-in' type='checkbox'/><label for='index-5b20a0f0-b8ea-4941-8888-d632f993266a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1f52f4ed-ff54-443c-8044-4d21ae6ee775' class='xr-section-summary-in' type='checkbox'  ><label for='section-1f52f4ed-ff54-443c-8044-4d21ae6ee775' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3082c602-f1d3-413d-9ed4-dba89d563b35' class='xr-index-data-in' type='checkbox'/><label for='index-3082c602-f1d3-413d-9ed4-dba89d563b35' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c3ceaddb-9aa2-47a7-a16f-47325f5269ad' class='xr-index-data-in' type='checkbox'/><label for='index-c3ceaddb-9aa2-47a7-a16f-47325f5269ad' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d9b966c7-9a69-49b9-8f02-79d0ccfd89f6' class='xr-index-data-in' type='checkbox'/><label for='index-d9b966c7-9a69-49b9-8f02-79d0ccfd89f6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0b6eb27c-72a7-4834-ae71-38fb92f8ccec' class='xr-index-data-in' type='checkbox'/><label for='index-0b6eb27c-72a7-4834-ae71-38fb92f8ccec' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-88908635-77f8-4111-a53c-fe2031167b88' class='xr-index-data-in' type='checkbox'/><label for='index-88908635-77f8-4111-a53c-fe2031167b88' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -5480,11 +5533,11 @@ <h3>Adding new dimensions<a class="headerlink" href="#adding-new-dimensions" tit
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68e1757a-0bf2-4cb4-81a2-6491f0e69914' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-68e1757a-0bf2-4cb4-81a2-6491f0e69914' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1dfaa5c4-15df-443c-b18e-6234814619f1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1dfaa5c4-15df-443c-b18e-6234814619f1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="dimensions-that-change-size">
-<h3>Dimensions that change size<a class="headerlink" href="#dimensions-that-change-size" title="Permalink to this headline">#</a></h3>
+<h3>Dimensions that change size<a class="headerlink" href="#dimensions-that-change-size" title="Permalink to this heading">#</a></h3>
 <p>We will now repeat the <a class="reference internal" href="complex-output-numpy.html#interp-add-new-dim"><span class="std std-ref">interpolation example from earlier</span></a> with <code class="docutils literal notranslate"><span class="pre">&quot;lat&quot;</span></code> as the output core dimension. See the numpy notebook on <a class="reference internal" href="complex-output-numpy.html#complex-output"><span class="std std-ref">complex output</span></a> for more.</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">newlat</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">15</span><span class="p">,</span> <span class="mi">75</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
 
@@ -5530,11 +5583,10 @@ <h3>Dimensions that change size<a class="headerlink" href="#dimensions-that-chan
 
 Traceback:
 ---------
-  File &quot;/home/runner/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/dask/array/core.py&quot;, line 462, in apply_infer_dtype
+  File &quot;/home/runner/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/dask/array/core.py&quot;, line 463, in apply_infer_dtype
     o = func(*args, **kwargs)
         ^^^^^^^^^^^^^^^^^^^^^
-  File &quot;&lt;__array_function__ internals&gt;&quot;, line 200, in interp
-  File &quot;/home/runner/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/numpy/lib/function_base.py&quot;, line 1595, in interp
+  File &quot;/home/runner/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/numpy/lib/function_base.py&quot;, line 1599, in interp
     return interp_func(x, xp, fp, left, right)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
@@ -5936,7 +5988,7 @@ <h3>Dimensions that change size<a class="headerlink" href="#dimensions-that-chan
 Coordinates:
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
-Dimensions without coordinates: lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li><li><span>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-05bb3025-010d-46b1-91d3-59f21a41643e' class='xr-array-in' type='checkbox' ><label for='section-05bb3025-010d-46b1-91d3-59f21a41643e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(100, 53, 100), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+Dimensions without coordinates: lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li><li><span>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f957b794-2c15-47d1-ba68-feb89b891e3d' class='xr-array-in' type='checkbox' ><label for='section-f957b794-2c15-47d1-ba68-feb89b891e3d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(100, 53, 100), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -6050,21 +6102,21 @@ <h3>Dimensions that change size<a class="headerlink" href="#dimensions-that-chan
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-d2fb0b0f-66c0-4fec-be9f-6751b31726db' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d2fb0b0f-66c0-4fec-be9f-6751b31726db' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-3f0ee0bf-80c7-400c-8b81-f5424473e1cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f0ee0bf-80c7-400c-8b81-f5424473e1cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfdb2e5a-c9d8-4012-95fb-84a1b2f71952' class='xr-var-data-in' type='checkbox'><label for='data-bfdb2e5a-c9d8-4012-95fb-84a1b2f71952' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+</table></div></div></li><li class='xr-section-item'><input id='section-6c6566cc-7e0d-47ec-895c-b4a29ec0c84e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6c6566cc-7e0d-47ec-895c-b4a29ec0c84e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-1cdebd17-2644-4b23-a188-649f63c95c39' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1cdebd17-2644-4b23-a188-649f63c95c39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-184776cf-db39-4737-9f48-0c4b138d38f7' class='xr-var-data-in' type='checkbox'><label for='data-184776cf-db39-4737-9f48-0c4b138d38f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-fbf5f62b-2d64-4cd1-9c66-029f770bddeb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fbf5f62b-2d64-4cd1-9c66-029f770bddeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec3abb96-99b8-4b1c-b796-7d98f1f20b3c' class='xr-var-data-in' type='checkbox'><label for='data-ec3abb96-99b8-4b1c-b796-7d98f1f20b3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-ee34111a-7081-4315-ad90-23482b4040f6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ee34111a-7081-4315-ad90-23482b4040f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8dde4da-f9f9-4442-baa1-515b02a010be' class='xr-var-data-in' type='checkbox'><label for='data-a8dde4da-f9f9-4442-baa1-515b02a010be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a7879536-1f0f-4b22-abfe-0c708a8913b2' class='xr-section-summary-in' type='checkbox'  ><label for='section-a7879536-1f0f-4b22-abfe-0c708a8913b2' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a500fcc9-e534-4e16-b759-b406213034c1' class='xr-index-data-in' type='checkbox'/><label for='index-a500fcc9-e534-4e16-b759-b406213034c1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b3743bc-7bc4-4efd-9758-01ea4ae2997b' class='xr-section-summary-in' type='checkbox'  ><label for='section-8b3743bc-7bc4-4efd-9758-01ea4ae2997b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8024faa9-0d83-4562-b15b-64148d53a4d0' class='xr-index-data-in' type='checkbox'/><label for='index-8024faa9-0d83-4562-b15b-64148d53a4d0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fac34ce7-1d44-4d1e-b40a-55e85457bd8d' class='xr-index-data-in' type='checkbox'/><label for='index-fac34ce7-1d44-4d1e-b40a-55e85457bd8d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c745a9b0-abf9-4975-a481-123b4efe3982' class='xr-index-data-in' type='checkbox'/><label for='index-c745a9b0-abf9-4975-a481-123b4efe3982' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -6075,7 +6127,7 @@ <h3>Dimensions that change size<a class="headerlink" href="#dimensions-that-chan
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-85741248-3364-49bf-ab72-8e97cf22a88b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-85741248-3364-49bf-ab72-8e97cf22a88b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8950baa2-3b61-4906-857f-9d3767f70b7e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8950baa2-3b61-4906-857f-9d3767f70b7e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="admonition tip">
 <p class="admonition-title">Tip</p>
@@ -6083,7 +6135,7 @@ <h3>Dimensions that change size<a class="headerlink" href="#dimensions-that-chan
 </div>
 </section>
 <section id="automatic-vectorizing">
-<h3>Automatic Vectorizing<a class="headerlink" href="#automatic-vectorizing" title="Permalink to this headline">#</a></h3>
+<h3>Automatic Vectorizing<a class="headerlink" href="#automatic-vectorizing" title="Permalink to this heading">#</a></h3>
 <p><a class="reference internal" href="automatic-vectorizing-numpy.html#vectorize"><span class="std std-ref">Automatic vectorizing</span></a> with <code class="docutils literal notranslate"><span class="pre">vectorize=True</span></code> also carries over!</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -6475,15 +6527,15 @@ <h3>Automatic Vectorizing<a class="headerlink" href="#automatic-vectorizing" tit
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Dimensions without coordinates: lat
 Data variables:
-    air      (time, lon, lat) float32 dask.array&lt;chunksize=(100, 53, 100), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e64a28d4-6dcb-44ab-8a4c-1c329e36c9f8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e64a28d4-6dcb-44ab-8a4c-1c329e36c9f8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li><li><span>lat</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-56153bf2-da5c-4ac7-86d6-bd2ccea2d69e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-56153bf2-da5c-4ac7-86d6-bd2ccea2d69e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-d72c44d1-c83a-417b-b1c8-7559c10dd33c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d72c44d1-c83a-417b-b1c8-7559c10dd33c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b9fcb50-6d2d-4083-9f49-e0da2c789853' class='xr-var-data-in' type='checkbox'><label for='data-0b9fcb50-6d2d-4083-9f49-e0da2c789853' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+    air      (time, lon, lat) float32 dask.array&lt;chunksize=(100, 53, 100), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b858f133-b90f-4da1-bd82-9982fc6defd6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b858f133-b90f-4da1-bd82-9982fc6defd6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li><li><span>lat</span>: 100</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a9b2fa1f-02a5-4885-86e8-7a26cf523409' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a9b2fa1f-02a5-4885-86e8-7a26cf523409' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-b4e9496d-071b-438b-97ad-d91a9a395e36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b4e9496d-071b-438b-97ad-d91a9a395e36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de8e2381-a9f2-40fc-bd07-956ce901882d' class='xr-var-data-in' type='checkbox'><label for='data-de8e2381-a9f2-40fc-bd07-956ce901882d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-c714278b-9aa9-478e-8b31-f1894ec2047f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c714278b-9aa9-478e-8b31-f1894ec2047f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-414001f6-4f3f-44bf-b14c-29f8e49316a0' class='xr-var-data-in' type='checkbox'><label for='data-414001f6-4f3f-44bf-b14c-29f8e49316a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-82ba9c77-8fd3-469a-937b-0017047bdaa5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82ba9c77-8fd3-469a-937b-0017047bdaa5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69a6e6b1-0664-4287-af9f-d948dc7436be' class='xr-var-data-in' type='checkbox'><label for='data-69a6e6b1-0664-4287-af9f-d948dc7436be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3bd7d3c1-c95b-4bce-975a-1522df9edbef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3bd7d3c1-c95b-4bce-975a-1522df9edbef' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 53, 100), meta=np.ndarray&gt;</div><input id='attrs-b7872aeb-65e2-41f0-82bd-54981f892fdb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7872aeb-65e2-41f0-82bd-54981f892fdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a94427e-fd1e-46e7-ad06-c010ff43f47d' class='xr-var-data-in' type='checkbox'><label for='data-6a94427e-fd1e-46e7-ad06-c010ff43f47d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75164325-e01d-42f6-80e0-edf484c38e0c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-75164325-e01d-42f6-80e0-edf484c38e0c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lon, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 53, 100), meta=np.ndarray&gt;</div><input id='attrs-5e231aad-eab5-4bed-bc0c-2ca9de0e5ed4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5e231aad-eab5-4bed-bc0c-2ca9de0e5ed4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b84ccc5-e877-4007-bb2a-5bda597568a1' class='xr-var-data-in' type='checkbox'><label for='data-8b84ccc5-e877-4007-bb2a-5bda597568a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -6597,13 +6649,13 @@ <h3>Automatic Vectorizing<a class="headerlink" href="#automatic-vectorizing" tit
 </svg>
         </td>
     </tr>
-</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-b499d0ca-a368-47f0-98f6-7afcba529f87' class='xr-section-summary-in' type='checkbox'  ><label for='section-b499d0ca-a368-47f0-98f6-7afcba529f87' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3be70b16-31ff-481b-a011-79cce72e7b10' class='xr-index-data-in' type='checkbox'/><label for='index-3be70b16-31ff-481b-a011-79cce72e7b10' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-98969576-11c0-4587-8363-4d9fffba823e' class='xr-section-summary-in' type='checkbox'  ><label for='section-98969576-11c0-4587-8363-4d9fffba823e' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5a3d6dff-d518-4a60-b363-14b683cd2839' class='xr-index-data-in' type='checkbox'/><label for='index-5a3d6dff-d518-4a60-b363-14b683cd2839' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1b0a31b6-1c3b-49b2-97ce-c3f3c4577a77' class='xr-index-data-in' type='checkbox'/><label for='index-1b0a31b6-1c3b-49b2-97ce-c3f3c4577a77' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cf5ee37f-fa30-4e14-925c-cc501b4a4681' class='xr-index-data-in' type='checkbox'/><label for='index-cf5ee37f-fa30-4e14-925c-cc501b4a4681' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -6614,7 +6666,7 @@ <h3>Automatic Vectorizing<a class="headerlink" href="#automatic-vectorizing" tit
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34dea015-6050-44c3-bc7f-f168a320f281' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-34dea015-6050-44c3-bc7f-f168a320f281' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0089e2c7-514d-467c-9964-2ded593e09d6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0089e2c7-514d-467c-9964-2ded593e09d6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Again, it is important to understand the conceptual flow of information between the variuus packages when executing <code class="docutils literal notranslate"><span class="pre">interped.compute()</span></code> which looks ilke</p>
 <p><code class="docutils literal notranslate"><span class="pre">xarray.apply_ufunc</span></code> ↔ <code class="docutils literal notranslate"><span class="pre">dask.array.apply_gufunc</span></code> ↔ <code class="docutils literal notranslate"><span class="pre">numpy.vectorize</span></code> ↔ <code class="docutils literal notranslate"><span class="pre">numpy.interp</span></code></p>
@@ -6633,7 +6685,7 @@ <h3>Automatic Vectorizing<a class="headerlink" href="#automatic-vectorizing" tit
 </section>
 </section>
 <section id="clean-up-the-cluster">
-<h2>Clean up the cluster<a class="headerlink" href="#clean-up-the-cluster" title="Permalink to this headline">#</a></h2>
+<h2>Clean up the cluster<a class="headerlink" href="#clean-up-the-cluster" title="Permalink to this heading">#</a></h2>
 <div class="cell tag_remove-output docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">client</span><span class="o">.</span><span class="n">close</span><span class="p">();</span>
@@ -6669,11 +6721,10 @@ <h2>Clean up the cluster<a class="headerlink" href="#clean-up-the-cluster" title
 
               
               
-                <footer class="bd-footer-article">
+              
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@@ -6693,10 +6744,7 @@ <h2>Clean up the cluster<a class="headerlink" href="#clean-up-the-cluster" title
       </div>
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@@ -6705,6 +6753,7 @@ <h2>Clean up the cluster<a class="headerlink" href="#clean-up-the-cluster" title
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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   <div class="page-toc tocsection onthispage">
     <i class="fa-solid fa-list"></i> Contents
@@ -6754,6 +6803,7 @@ <h2>Clean up the cluster<a class="headerlink" href="#clean-up-the-cluster" title
   
   <div class="footer-item">
     
+
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       © Copyright 2023.
@@ -6780,8 +6830,8 @@ <h2>Clean up the cluster<a class="headerlink" href="#clean-up-the-cluster" title
   </div>
   
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-  <script src="../../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
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+  <script src="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/advanced/apply_ufunc/example-interp.html b/advanced/apply_ufunc/example-interp.html
index 8c856d51..d89729c0 100644
--- a/advanced/apply_ufunc/example-interp.html
+++ b/advanced/apply_ufunc/example-interp.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
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@@ -19,15 +19,15 @@
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-  <link href="../../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
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+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
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-<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
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@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
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+
   
 
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@@ -144,13 +158,14 @@
   
   
   
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-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
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@@ -462,20 +477,22 @@
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@@ -520,10 +537,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="np-interp-an-end-to-end-example">
-<h1>np.interp : An end-to-end example<a class="headerlink" href="#np-interp-an-end-to-end-example" title="Permalink to this headline">#</a></h1>
+<h1>np.interp : An end-to-end example<a class="headerlink" href="#np-interp-an-end-to-end-example" title="Permalink to this heading">#</a></h1>
 <p><strong>Author</strong> <a class="reference external" href="https://cherian.net">Deepak Cherian (NCAR)</a></p>
 <p>This example will illustrate how to conveniently apply an unvectorized function <code class="docutils literal notranslate"><span class="pre">func</span></code> to xarray objects using <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code>. <code class="docutils literal notranslate"><span class="pre">func</span></code> expects 1D numpy arrays and returns a 1D numpy array. Our goal is to conveniently apply this function along a dimension of xarray objects that may or may not wrap dask arrays with a signature.</p>
 <p>We will illustrate this using <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.interp.html"><code class="docutils literal notranslate"><span class="pre">np.interp</span></code></a>:</p>
@@ -540,7 +557,7 @@ <h1>np.interp : An end-to-end example<a class="headerlink" href="#np-interp-an-e
 </pre></div>
 </div>
 <section id="learning-goals">
-<h2>Learning goals<a class="headerlink" href="#learning-goals" title="Permalink to this headline">#</a></h2>
+<h2>Learning goals<a class="headerlink" href="#learning-goals" title="Permalink to this heading">#</a></h2>
 <p>Our goal is to use <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> with a general function so that we can reuse our code to apply to different xarray datasets or along different dimensions. Specifically, this example will illustrate</p>
 <ol class="arabic simple">
 <li><p>Specifying core dimensions with <code class="docutils literal notranslate"><span class="pre">input_core_dims</span></code></p></li>
@@ -557,7 +574,7 @@ <h2>Learning goals<a class="headerlink" href="#learning-goals" title="Permalink
 </div>
 </section>
 <section id="load-data">
-<h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this headline">#</a></h2>
+<h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this heading">#</a></h2>
 <p>First lets load an example dataset</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -963,7 +980,7 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b26efaa1-11b7-4f6a-856a-a3e04b497795' class='xr-array-in' type='checkbox' ><label for='section-b26efaa1-11b7-4f6a-856a-a3e04b497795' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.8 297.1 295.9 296.2 296.8 ... 245.3 244.2 241.9 241.8 241.8</span></div><div class='xr-array-data'><pre>array([[[296.29   , 296.79   , 297.1    ],
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4814baec-addc-4b02-85e5-accd38c4730f' class='xr-array-in' type='checkbox' ><label for='section-4814baec-addc-4b02-85e5-accd38c4730f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.8 297.1 295.9 296.2 296.8 ... 245.3 244.2 241.9 241.8 241.8</span></div><div class='xr-array-data'><pre>array([[[296.29   , 296.79   , 297.1    ],
         [295.9    , 296.19998, 296.79   ],
         ...,
         [243.79999, 244.5    , 244.7    ],
@@ -985,16 +1002,16 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
         [297.     , 297.5    , 297.1    ],
         ...,
         [246.29999, 245.29999, 244.2    ],
-        [241.89   , 241.79999, 241.79999]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6381bb38-b7a3-430a-9b26-b8e8bd177f78' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6381bb38-b7a3-430a-9b26-b8e8bd177f78' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>15.0 17.5 20.0 ... 70.0 72.5 75.0</div><input id='attrs-a832824b-0b1e-447f-8ec2-bde0d25d5f37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a832824b-0b1e-447f-8ec2-bde0d25d5f37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f20e420-c4ff-4f2b-a1e0-0abd5d0f4fcd' class='xr-var-data-in' type='checkbox'><label for='data-5f20e420-c4ff-4f2b-a1e0-0abd5d0f4fcd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([15. , 17.5, 20. , 22.5, 25. , 27.5, 30. , 32.5, 35. , 37.5, 40. , 42.5,
+        [241.89   , 241.79999, 241.79999]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b29a507d-15e4-4667-9930-f6791eaa05d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b29a507d-15e4-4667-9930-f6791eaa05d5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>15.0 17.5 20.0 ... 70.0 72.5 75.0</div><input id='attrs-d1836051-4d30-44f5-a3c4-04746cc74bc9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1836051-4d30-44f5-a3c4-04746cc74bc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-481c6db1-f9e4-4ad6-af45-b2389283ea91' class='xr-var-data-in' type='checkbox'><label for='data-481c6db1-f9e4-4ad6-af45-b2389283ea91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([15. , 17.5, 20. , 22.5, 25. , 27.5, 30. , 32.5, 35. , 37.5, 40. , 42.5,
        45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5,
-       75. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0</div><input id='attrs-c27787d3-d695-45ed-831c-9d45b889dccc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c27787d3-d695-45ed-831c-9d45b889dccc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8cbd1f1-ba23-4cca-891e-82aab3c347fd' class='xr-var-data-in' type='checkbox'><label for='data-a8cbd1f1-ba23-4cca-891e-82aab3c347fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-d14f1588-83c2-4f9c-af41-d61812fed405' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d14f1588-83c2-4f9c-af41-d61812fed405' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1bd719e-5544-4ae3-8963-f4046f9c22c9' class='xr-var-data-in' type='checkbox'><label for='data-d1bd719e-5544-4ae3-8963-f4046f9c22c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       75. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0</div><input id='attrs-645ba73f-bb07-4c04-89a4-f5abf656a657' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-645ba73f-bb07-4c04-89a4-f5abf656a657' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7cece06-c123-4dc5-b3cf-0888be0e222e' class='xr-var-data-in' type='checkbox'><label for='data-c7cece06-c123-4dc5-b3cf-0888be0e222e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-8a229d3a-3af4-4ae0-82f6-d84d3495db37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a229d3a-3af4-4ae0-82f6-d84d3495db37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fafd730-6889-4c9b-8956-1c96bf14d14e' class='xr-var-data-in' type='checkbox'><label for='data-8fafd730-6889-4c9b-8956-1c96bf14d14e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, &#x27;2013-01-01T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d5943fe0-de13-401c-964d-9903a3685058' class='xr-section-summary-in' type='checkbox'  ><label for='section-d5943fe0-de13-401c-964d-9903a3685058' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7dcefb0d-0bae-448e-a7e5-10345573811a' class='xr-index-data-in' type='checkbox'/><label for='index-7dcefb0d-0bae-448e-a7e5-10345573811a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([15.0, 17.5, 20.0, 22.5, 25.0, 27.5, 30.0, 32.5, 35.0, 37.5, 40.0, 42.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-428a5749-22e1-4a29-8077-4a8c5880539d' class='xr-section-summary-in' type='checkbox'  ><label for='section-428a5749-22e1-4a29-8077-4a8c5880539d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0d49bce4-d9ac-4bdb-a41d-c79ad3c4d68c' class='xr-index-data-in' type='checkbox'/><label for='index-0d49bce4-d9ac-4bdb-a41d-c79ad3c4d68c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([15.0, 17.5, 20.0, 22.5, 25.0, 27.5, 30.0, 32.5, 35.0, 37.5, 40.0, 42.5,
        45.0, 47.5, 50.0, 52.5, 55.0, 57.5, 60.0, 62.5, 65.0, 67.5, 70.0, 72.5,
        75.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6e1c1ada-9aa7-4ccf-a5b1-c43cdebc5e73' class='xr-index-data-in' type='checkbox'/><label for='index-6e1c1ada-9aa7-4ccf-a5b1-c43cdebc5e73' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-43bec3b9-aa23-40c6-9456-7e25cb3ad72a' class='xr-index-data-in' type='checkbox'/><label for='index-43bec3b9-aa23-40c6-9456-7e25cb3ad72a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-712e4f75-166e-46bc-9dd2-d09aff46eda4' class='xr-index-data-in' type='checkbox'/><label for='index-712e4f75-166e-46bc-9dd2-d09aff46eda4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-965b2c8c-bf3e-428a-acb5-b105e27f5ae2' class='xr-index-data-in' type='checkbox'/><label for='index-965b2c8c-bf3e-428a-acb5-b105e27f5ae2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-28d2355c-f71a-48bb-98c0-69fc5e19bd3c' class='xr-section-summary-in' type='checkbox'  ><label for='section-28d2355c-f71a-48bb-98c0-69fc5e19bd3c' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e79b3081-bdd9-4c88-a4fa-9e87c4196dff' class='xr-section-summary-in' type='checkbox'  ><label for='section-e79b3081-bdd9-4c88-a4fa-9e87c4196dff' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>The function we will apply is <code class="docutils literal notranslate"><span class="pre">np.interp</span></code> which expects 1D numpy arrays. This functionality is already implemented in xarray so we use that capability to make sure we are not making mistakes.</p>
 <div class="cell docutils container">
@@ -1385,7 +1402,7 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lat</span>: 100</li><li><span class='xr-has-index'>lon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cfa1df52-e95c-4514-8d94-3aa593cd5517' class='xr-array-in' type='checkbox' ><label for='section-cfa1df52-e95c-4514-8d94-3aa593cd5517' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.8 297.1 296.2 296.6 297.0 ... 242.6 242.4 241.9 241.8 241.8</span></div><div class='xr-array-data'><pre>array([[[296.29000854, 296.79000854, 297.1000061 ],
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lat</span>: 100</li><li><span class='xr-has-index'>lon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2662102c-9f4d-480d-a0a3-0ca923687a0e' class='xr-array-in' type='checkbox' ><label for='section-2662102c-9f4d-480d-a0a3-0ca923687a0e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.8 297.1 296.2 296.6 297.0 ... 242.6 242.4 241.9 241.8 241.8</span></div><div class='xr-array-data'><pre>array([[[296.29000854, 296.79000854, 297.1000061 ],
         [296.19545954, 296.64697173, 297.02485518],
         ...,
         [241.83029767, 242.98484846, 243.79090837],
@@ -1407,9 +1424,9 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
         [297.37878788, 297.65150128, 297.40303179],
         ...,
         [242.9590874 , 242.64847269, 242.38180817],
-        [241.88999927, 241.79998785, 241.79998776]]])</pre></div></div></li><li class='xr-section-item'><input id='section-e0e8dc63-4296-4e3f-8990-34629f239dce' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e0e8dc63-4296-4e3f-8990-34629f239dce' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0</div><input id='attrs-c167236e-0e64-4b40-adfb-2f534b5e5262' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c167236e-0e64-4b40-adfb-2f534b5e5262' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8ec05e7-3939-45f9-bfce-716608fb1993' class='xr-var-data-in' type='checkbox'><label for='data-f8ec05e7-3939-45f9-bfce-716608fb1993' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-56657326-9e89-49f0-a821-6b210e020dc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56657326-9e89-49f0-a821-6b210e020dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-732b7290-bbb5-44dd-b05e-296aeb780eab' class='xr-var-data-in' type='checkbox'><label for='data-732b7290-bbb5-44dd-b05e-296aeb780eab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+        [241.88999927, 241.79998785, 241.79998776]]])</pre></div></div></li><li class='xr-section-item'><input id='section-94a82ba2-8096-4438-94a8-1387c037d4c2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-94a82ba2-8096-4438-94a8-1387c037d4c2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0</div><input id='attrs-e41d1dad-634a-4ed6-a255-761d6def377e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e41d1dad-634a-4ed6-a255-761d6def377e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64497c81-cead-4275-b28f-59026da7ab53' class='xr-var-data-in' type='checkbox'><label for='data-64497c81-cead-4275-b28f-59026da7ab53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-d4bc0fb9-3ae0-4492-95a2-87e5b3736ba7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4bc0fb9-3ae0-4492-95a2-87e5b3736ba7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35001004-a3d8-4d15-b09a-31a51376fef5' class='xr-var-data-in' type='checkbox'><label for='data-35001004-a3d8-4d15-b09a-31a51376fef5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, &#x27;2013-01-01T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 15.61 16.21 ... 74.39 75.0</div><input id='attrs-c3bca420-f7d7-44ed-845b-9ac89f73cc65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3bca420-f7d7-44ed-845b-9ac89f73cc65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bca2501-8b08-4d19-9c00-792e08a8a281' class='xr-var-data-in' type='checkbox'><label for='data-9bca2501-8b08-4d19-9c00-792e08a8a281' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([15.      , 15.606061, 16.212121, 16.818182, 17.424242, 18.030303,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 15.61 16.21 ... 74.39 75.0</div><input id='attrs-bd4c8d19-63de-43d4-b777-e6e7bf2f34ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd4c8d19-63de-43d4-b777-e6e7bf2f34ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6506edd-8c79-4cd6-bc2f-0802fb79bd3d' class='xr-var-data-in' type='checkbox'><label for='data-b6506edd-8c79-4cd6-bc2f-0802fb79bd3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([15.      , 15.606061, 16.212121, 16.818182, 17.424242, 18.030303,
        18.636364, 19.242424, 19.848485, 20.454545, 21.060606, 21.666667,
        22.272727, 22.878788, 23.484848, 24.090909, 24.69697 , 25.30303 ,
        25.909091, 26.515152, 27.121212, 27.727273, 28.333333, 28.939394,
@@ -1425,9 +1442,9 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
        62.272727, 62.878788, 63.484848, 64.090909, 64.69697 , 65.30303 ,
        65.909091, 66.515152, 67.121212, 67.727273, 68.333333, 68.939394,
        69.545455, 70.151515, 70.757576, 71.363636, 71.969697, 72.575758,
-       73.181818, 73.787879, 74.393939, 75.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-74d2b97b-ac97-4762-9c9e-e235cd26d604' class='xr-section-summary-in' type='checkbox'  ><label for='section-74d2b97b-ac97-4762-9c9e-e235cd26d604' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ee8361f8-6b71-4971-b73d-acda56c2ab9a' class='xr-index-data-in' type='checkbox'/><label for='index-ee8361f8-6b71-4971-b73d-acda56c2ab9a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56c5e3dc-566d-4c21-9c86-b064663a7464' class='xr-index-data-in' type='checkbox'/><label for='index-56c5e3dc-566d-4c21-9c86-b064663a7464' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+       73.181818, 73.787879, 74.393939, 75.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a9bfe73-adde-4541-ab2b-3bf2f55d6830' class='xr-section-summary-in' type='checkbox'  ><label for='section-3a9bfe73-adde-4541-ab2b-3bf2f55d6830' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e8698697-56f9-4c08-ad80-20c04a55d03d' class='xr-index-data-in' type='checkbox'/><label for='index-e8698697-56f9-4c08-ad80-20c04a55d03d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fb374b87-1dcb-4ff2-b8d4-31a591187684' class='xr-index-data-in' type='checkbox'/><label for='index-fb374b87-1dcb-4ff2-b8d4-31a591187684' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5d0aa76f-6bb8-4dc3-a2b6-30b0c364bed7' class='xr-index-data-in' type='checkbox'/><label for='index-5d0aa76f-6bb8-4dc3-a2b6-30b0c364bed7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              15.0, 15.606060606060606,  16.21212121212121,
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-164bb47e-3d1c-4370-9e8e-ba023d244788' class='xr-index-data-in' type='checkbox'/><label for='index-164bb47e-3d1c-4370-9e8e-ba023d244788' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              15.0, 15.606060606060606,  16.21212121212121,
         16.81818181818182, 17.424242424242426,  18.03030303030303,
        18.636363636363637, 19.242424242424242, 19.848484848484848,
        20.454545454545453, 21.060606060606062, 21.666666666666668,
@@ -1461,7 +1478,7 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
         71.36363636363637,  71.96969696969697,  72.57575757575758,
         73.18181818181819,  73.78787878787878,   74.3939393939394,
                      75.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7228deca-6b9b-42cd-89ac-d6f6ba78fc20' class='xr-section-summary-in' type='checkbox'  ><label for='section-7228deca-6b9b-42cd-89ac-d6f6ba78fc20' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a207313e-8027-4c08-b56f-cdf5d3a3c1c1' class='xr-section-summary-in' type='checkbox'  ><label for='section-a207313e-8027-4c08-b56f-cdf5d3a3c1c1' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Let’s define a function that works with one vector of data along <code class="docutils literal notranslate"><span class="pre">lat</span></code> at a time.</p>
 <div class="cell docutils container">
@@ -1483,7 +1500,7 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
 <p>This function consumes and returns numpy arrays, which means we need to do a lot of work to convert the result back to an xarray object with meaningful metadata. This is where <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> is very useful.</p>
 </section>
 <section id="apply-ufunc">
-<h2><code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code><a class="headerlink" href="#apply-ufunc" title="Permalink to this headline">#</a></h2>
+<h2><code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code><a class="headerlink" href="#apply-ufunc" title="Permalink to this heading">#</a></h2>
 <div class="highlight-none notranslate"><div class="highlight"><pre><span></span>Apply a vectorized function for unlabeled arrays on xarray objects.
 
 The function will be mapped over the data variable(s) of the input arguments using 
@@ -1504,7 +1521,25 @@ <h2><code class="docutils literal notranslate"><span class="pre">apply_ufunc</sp
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: size of dimension &#39;lat&#39; on inputs was unexpectedly changed by applied function from 25 to 100. Only dimensions specified in ``exclude_dims`` with xarray.apply_ufunc are allowed to change size.
+<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: size of dimension &#39;lat&#39; on inputs was unexpectedly changed by applied function from 25 to 100. Only dimensions specified in ``exclude_dims`` with xarray.apply_ufunc are allowed to change size. The data returned was:
+
+<span class="n">array</span><span class="p">([</span><span class="mf">296.290009</span><span class="p">,</span> <span class="mf">296.19546</span> <span class="p">,</span> <span class="mf">296.100911</span><span class="p">,</span> <span class="mf">296.006362</span><span class="p">,</span> <span class="mf">295.911813</span><span class="p">,</span> <span class="mf">296.048481</span><span class="p">,</span>
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 </pre></div>
 </div>
 </div>
@@ -1512,7 +1547,7 @@ <h2><code class="docutils literal notranslate"><span class="pre">apply_ufunc</sp
 <p><code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> needs to know a lot of information about what our function does so that it can reconstruct the outputs. In this case, the size of dimension lat has changed and we need to explicitly specify that this will happen. xarray helpfully tells us that we need to specify the kwarg <code class="docutils literal notranslate"><span class="pre">exclude_dims</span></code>.</p>
 </section>
 <section id="exclude-dims">
-<h2><code class="docutils literal notranslate"><span class="pre">exclude_dims</span></code><a class="headerlink" href="#exclude-dims" title="Permalink to this headline">#</a></h2>
+<h2><code class="docutils literal notranslate"><span class="pre">exclude_dims</span></code><a class="headerlink" href="#exclude-dims" title="Permalink to this heading">#</a></h2>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span>exclude_dims : set, optional
         Core dimensions on the inputs to exclude from alignment and
         broadcasting entirely. Any input coordinates along these dimensions
@@ -1541,7 +1576,7 @@ <h2><code class="docutils literal notranslate"><span class="pre">exclude_dims</s
 </div>
 </section>
 <section id="core-dimensions">
-<h2>Core dimensions<a class="headerlink" href="#core-dimensions" title="Permalink to this headline">#</a></h2>
+<h2>Core dimensions<a class="headerlink" href="#core-dimensions" title="Permalink to this heading">#</a></h2>
 <p>Core dimensions are central to using <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code>. In our case, our function expects to receive a 1D vector along <code class="docutils literal notranslate"><span class="pre">lat</span></code> — this is the dimension that is “core” to the function’s functionality. Multiple core dimensions are possible. <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> needs to know which dimensions of each variable are core dimensions.</p>
 <div class="highlight-none notranslate"><div class="highlight"><pre><span></span>input_core_dims : Sequence[Sequence], optional
     List of the same length as ``args`` giving the list of core dimensions
@@ -1582,7 +1617,25 @@ <h2>Core dimensions<a class="headerlink" href="#core-dimensions" title="Permalin
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: applied function returned data with unexpected number of dimensions. Received 1 dimension(s) but expected 0 dimensions with names: ()
+<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="ne">ValueError</span>: applied function returned data with an unexpected number of dimensions. Received 1 dimension(s) but expected 0 dimensions with names (), from:
+
+<span class="n">array</span><span class="p">([</span><span class="mf">296.290009</span><span class="p">,</span> <span class="mf">296.19546</span> <span class="p">,</span> <span class="mf">296.100911</span><span class="p">,</span> <span class="mf">296.006362</span><span class="p">,</span> <span class="mf">295.911813</span><span class="p">,</span> <span class="mf">296.048481</span><span class="p">,</span>
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 </pre></div>
 </div>
 </div>
@@ -1971,7 +2024,7 @@ <h2>Core dimensions<a class="headerlink" href="#core-dimensions" title="Permalin
 Coordinates:
     lon      float32 200.0
     time     datetime64[ns] 2013-01-01
-Dimensions without coordinates: lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f31e9ecb-1dc9-4ce9-992c-ef985eb2b4e1' class='xr-array-in' type='checkbox' ><label for='section-f31e9ecb-1dc9-4ce9-992c-ef985eb2b4e1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 243.7 243.1 242.5 241.8 241.2</span></div><div class='xr-array-data'><pre>array([296.29000854, 296.19545954, ..., 241.83029776, 241.19999695])</pre></div></div></li><li class='xr-section-item'><input id='section-504cd675-bf1c-4138-92ce-6c9b3a7dbfd7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-504cd675-bf1c-4138-92ce-6c9b3a7dbfd7' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-02ad2a71-abb3-4e81-93f3-9afa6d4d1b3b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-02ad2a71-abb3-4e81-93f3-9afa6d4d1b3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3beaaa08-37d5-41f3-bbde-6dec76f82796' class='xr-var-data-in' type='checkbox'><label for='data-3beaaa08-37d5-41f3-bbde-6dec76f82796' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-4dec0e66-b724-49b4-b53d-09e830feac48' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4dec0e66-b724-49b4-b53d-09e830feac48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bf96fc5-3fc9-4e64-a27f-802abeb706a4' class='xr-var-data-in' type='checkbox'><label for='data-7bf96fc5-3fc9-4e64-a27f-802abeb706a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d6f16922-9856-4a20-a0d7-801f7a8ab70e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d6f16922-9856-4a20-a0d7-801f7a8ab70e' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ad61d084-a9ae-413a-96ab-abe476325814' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ad61d084-a9ae-413a-96ab-abe476325814' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-17d4938a-ce86-467a-a771-9b32c8ea3f6c' class='xr-array-in' type='checkbox' ><label for='section-17d4938a-ce86-467a-a771-9b32c8ea3f6c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 243.7 243.1 242.5 241.8 241.2</span></div><div class='xr-array-data'><pre>array([296.29000854, 296.19545954, ..., 241.83029776, 241.19999695])</pre></div></div></li><li class='xr-section-item'><input id='section-cdbff0a7-577e-4192-a857-652765478f0d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cdbff0a7-577e-4192-a857-652765478f0d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-0bc1bb95-9261-45e5-ac9f-448c42513fe2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0bc1bb95-9261-45e5-ac9f-448c42513fe2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e36821d0-4440-4d98-89be-47c542c43d54' class='xr-var-data-in' type='checkbox'><label for='data-e36821d0-4440-4d98-89be-47c542c43d54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-8112401d-9ed5-472e-b7e5-074d94a563ff' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8112401d-9ed5-472e-b7e5-074d94a563ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be84878f-1ea7-4eed-a38c-0db3537fce2f' class='xr-var-data-in' type='checkbox'><label for='data-be84878f-1ea7-4eed-a38c-0db3537fce2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-81f8e5c7-5bc7-4e9b-9f37-549b1a680458' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-81f8e5c7-5bc7-4e9b-9f37-549b1a680458' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-814ce2bd-78f1-4bdb-a698-6571cc74d45e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-814ce2bd-78f1-4bdb-a698-6571cc74d45e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Finally we get some output! Let’s check that this is right</p>
 <div class="cell docutils container">
@@ -1994,7 +2047,7 @@ <h2>Core dimensions<a class="headerlink" href="#core-dimensions" title="Permalin
 <p>No errors are raised so it is right!</p>
 </section>
 <section id="automatic-vectorization-with-np-vectorize">
-<h2>Automatic vectorization with <code class="docutils literal notranslate"><span class="pre">np.vectorize</span></code><a class="headerlink" href="#automatic-vectorization-with-np-vectorize" title="Permalink to this headline">#</a></h2>
+<h2>Automatic vectorization with <code class="docutils literal notranslate"><span class="pre">np.vectorize</span></code><a class="headerlink" href="#automatic-vectorization-with-np-vectorize" title="Permalink to this heading">#</a></h2>
 <p>Now our function currently only works on one vector of data which is not so useful given our 3D dataset.
 Let’s try passing the whole dataset. We add a <code class="docutils literal notranslate"><span class="pre">print</span></code> statement so we can see what our function receives.</p>
 <div class="cell tag_raises-exception docutils container">
@@ -2481,7 +2534,7 @@ <h2>Automatic vectorization with <code class="docutils literal notranslate"><spa
 Coordinates:
   * lon      (lon) float32 200.0 202.5 205.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2013-01-01T18:00:00
-  * lat      (lat) float64 15.0 15.61 16.21 16.82 ... 73.18 73.79 74.39 75.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lon</span>: 3</li><li><span class='xr-has-index'>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dc483d0d-737e-437f-b8bb-4da4f05e3d2f' class='xr-array-in' type='checkbox' ><label for='section-dc483d0d-737e-437f-b8bb-4da4f05e3d2f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 244.1 243.5 243.0 242.4 241.8</span></div><div class='xr-array-data'><pre>array([[[296.29000854, 296.19545954, ..., 241.83029776, 241.19999695],
+  * lat      (lat) float64 15.0 15.61 16.21 16.82 ... 73.18 73.79 74.39 75.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lon</span>: 3</li><li><span class='xr-has-index'>lat</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2ca53b26-34e1-4c51-a9eb-9ba49bb80938' class='xr-array-in' type='checkbox' ><label for='section-2ca53b26-34e1-4c51-a9eb-9ba49bb80938' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.3 296.2 296.1 296.0 295.9 296.0 ... 244.1 243.5 243.0 242.4 241.8</span></div><div class='xr-array-data'><pre>array([[[296.29000854, 296.19545954, ..., 241.83029776, 241.19999695],
         [296.79000854, 296.64697173, ..., 242.98484848, 242.5       ],
         [297.1000061 , 297.02485518, ..., 243.79090835, 243.5       ]],
 
@@ -2495,9 +2548,9 @@ <h2>Automatic vectorization with <code class="docutils literal notranslate"><spa
 
        [[297.5       , 297.37878788, ..., 242.95908749, 241.88999939],
         [297.69998169, 297.65150128, ..., 242.64847264, 241.79998779],
-        [297.5       , 297.40303178, ..., 242.38180819, 241.79998779]]])</pre></div></div></li><li class='xr-section-item'><input id='section-d6780e46-7809-41c0-8594-42a063c3f2e6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d6780e46-7809-41c0-8594-42a063c3f2e6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0</div><input id='attrs-4becea3d-d384-4cfa-9c91-00adc098910e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4becea3d-d384-4cfa-9c91-00adc098910e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49767d9e-a0d6-462a-a5ce-d64bf7bc9854' class='xr-var-data-in' type='checkbox'><label for='data-49767d9e-a0d6-462a-a5ce-d64bf7bc9854' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-bd93a0dc-f017-4391-83ef-cd1a34c093c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd93a0dc-f017-4391-83ef-cd1a34c093c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42e58863-cc7c-4c50-8d7c-203b2b5070b6' class='xr-var-data-in' type='checkbox'><label for='data-42e58863-cc7c-4c50-8d7c-203b2b5070b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+        [297.5       , 297.40303178, ..., 242.38180819, 241.79998779]]])</pre></div></div></li><li class='xr-section-item'><input id='section-af269ddc-b26f-487f-a668-338ba81e8a7c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-af269ddc-b26f-487f-a668-338ba81e8a7c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0</div><input id='attrs-7b1b6777-723b-4401-b655-91fdf017dece' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b1b6777-723b-4401-b655-91fdf017dece' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddd43a67-31b8-4987-b47a-97c6635feb55' class='xr-var-data-in' type='checkbox'><label for='data-ddd43a67-31b8-4987-b47a-97c6635feb55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-c2d64a26-db79-4239-ab7f-6d3cd59cadc7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c2d64a26-db79-4239-ab7f-6d3cd59cadc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d52485ce-8ae5-4721-a5cc-3440f37a58f1' class='xr-var-data-in' type='checkbox'><label for='data-d52485ce-8ae5-4721-a5cc-3440f37a58f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, &#x27;2013-01-01T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 15.61 16.21 ... 74.39 75.0</div><input id='attrs-c26c8a67-d460-4fdc-aa3f-e52f86bfd750' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c26c8a67-d460-4fdc-aa3f-e52f86bfd750' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54b79510-fedb-46b5-948c-e2b15dc66707' class='xr-var-data-in' type='checkbox'><label for='data-54b79510-fedb-46b5-948c-e2b15dc66707' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([15.      , 15.606061, 16.212121, 16.818182, 17.424242, 18.030303,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>15.0 15.61 16.21 ... 74.39 75.0</div><input id='attrs-5dbdc319-0c18-4885-a223-6cf1c1483698' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5dbdc319-0c18-4885-a223-6cf1c1483698' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c44c5121-89c4-4283-8161-ee8aac72b80c' class='xr-var-data-in' type='checkbox'><label for='data-c44c5121-89c4-4283-8161-ee8aac72b80c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([15.      , 15.606061, 16.212121, 16.818182, 17.424242, 18.030303,
        18.636364, 19.242424, 19.848485, 20.454545, 21.060606, 21.666667,
        22.272727, 22.878788, 23.484848, 24.090909, 24.69697 , 25.30303 ,
        25.909091, 26.515152, 27.121212, 27.727273, 28.333333, 28.939394,
@@ -2513,9 +2566,9 @@ <h2>Automatic vectorization with <code class="docutils literal notranslate"><spa
        62.272727, 62.878788, 63.484848, 64.090909, 64.69697 , 65.30303 ,
        65.909091, 66.515152, 67.121212, 67.727273, 68.333333, 68.939394,
        69.545455, 70.151515, 70.757576, 71.363636, 71.969697, 72.575758,
-       73.181818, 73.787879, 74.393939, 75.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb52a9df-481d-40dd-a220-eff9f2b376e5' class='xr-section-summary-in' type='checkbox'  ><label for='section-eb52a9df-481d-40dd-a220-eff9f2b376e5' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-26cfc06d-11d4-4421-accb-eda628e09b35' class='xr-index-data-in' type='checkbox'/><label for='index-26cfc06d-11d4-4421-accb-eda628e09b35' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2309c637-1c0e-4cca-a713-81e8fffb06f5' class='xr-index-data-in' type='checkbox'/><label for='index-2309c637-1c0e-4cca-a713-81e8fffb06f5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+       73.181818, 73.787879, 74.393939, 75.      ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1c335917-72f4-4b32-a723-1a2e188a8486' class='xr-section-summary-in' type='checkbox'  ><label for='section-1c335917-72f4-4b32-a723-1a2e188a8486' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fdacb7b3-ccf0-4109-ab31-c1dcdcf6bcdb' class='xr-index-data-in' type='checkbox'/><label for='index-fdacb7b3-ccf0-4109-ab31-c1dcdcf6bcdb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cbcd6d5a-9d72-4eac-95db-8026ba58dec2' class='xr-index-data-in' type='checkbox'/><label for='index-cbcd6d5a-9d72-4eac-95db-8026ba58dec2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c44de6e1-4996-416a-968f-8bef45ad0a92' class='xr-index-data-in' type='checkbox'/><label for='index-c44de6e1-4996-416a-968f-8bef45ad0a92' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              15.0, 15.606060606060606,  16.21212121212121,
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-36be710b-54a4-403d-8d34-6b04d19a5a93' class='xr-index-data-in' type='checkbox'/><label for='index-36be710b-54a4-403d-8d34-6b04d19a5a93' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([              15.0, 15.606060606060606,  16.21212121212121,
         16.81818181818182, 17.424242424242426,  18.03030303030303,
        18.636363636363637, 19.242424242424242, 19.848484848484848,
        20.454545454545453, 21.060606060606062, 21.666666666666668,
@@ -2549,7 +2602,7 @@ <h2>Automatic vectorization with <code class="docutils literal notranslate"><spa
         71.36363636363637,  71.96969696969697,  72.57575757575758,
         73.18181818181819,  73.78787878787878,   74.3939393939394,
                      75.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a38ba4c1-1625-4d34-90a1-125308830101' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a38ba4c1-1625-4d34-90a1-125308830101' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d991cc13-9acd-4084-856d-86c973158f35' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d991cc13-9acd-4084-856d-86c973158f35' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Notice that the printed input shapes are all 1D and correspond to one vector along the <code class="docutils literal notranslate"><span class="pre">lat</span></code> dimension.</p>
 <p>The result is now an xarray object with coordinate values copied over from <code class="docutils literal notranslate"><span class="pre">data</span></code>. This is why <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> is so convenient; it takes care of a lot of boilerplate necessary to apply functions that consume and produce numpy arrays to xarray objects.</p>
@@ -2561,7 +2614,7 @@ <h2>Automatic vectorization with <code class="docutils literal notranslate"><spa
 </div>
 </section>
 <section id="parallelization-with-dask">
-<h2>Parallelization with dask<a class="headerlink" href="#parallelization-with-dask" title="Permalink to this headline">#</a></h2>
+<h2>Parallelization with dask<a class="headerlink" href="#parallelization-with-dask" title="Permalink to this heading">#</a></h2>
 <p>So far our function can only handle numpy arrays. A real benefit of <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> is the ability to easily parallelize over dask chunks <em>when needed</em>.</p>
 <p>We want to apply this function in a vectorized fashion over each chunk of the dask array. This is possible using dask’s <code class="docutils literal notranslate"><span class="pre">blockwise</span></code>, <code class="docutils literal notranslate"><span class="pre">map_blocks</span></code>, or <code class="docutils literal notranslate"><span class="pre">apply_gufunc</span></code>. Xarray’s <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> wraps dask’s <code class="docutils literal notranslate"><span class="pre">apply_gufunc</span></code> and asking it to map the function over chunks using <code class="docutils literal notranslate"><span class="pre">apply_gufunc</span></code> is as simple as specifying <code class="docutils literal notranslate"><span class="pre">dask=&quot;parallelized&quot;</span></code>. With this level of flexibility we need to provide dask with some extra information:</p>
 <ol class="arabic simple">
@@ -2614,7 +2667,7 @@ <h2>Parallelization with dask<a class="headerlink" href="#parallelization-with-d
 <p>Yay! our function is receiving 1D vectors, so we’ve successfully parallelized applying a 1D function over a block. If you have a distributed dashboard up, you should see computes happening as equality is checked.</p>
 </section>
 <section id="high-performance-vectorization-gufuncs-numba-guvectorize">
-<h2>High performance vectorization: gufuncs, numba &amp; guvectorize<a class="headerlink" href="#high-performance-vectorization-gufuncs-numba-guvectorize" title="Permalink to this headline">#</a></h2>
+<h2>High performance vectorization: gufuncs, numba &amp; guvectorize<a class="headerlink" href="#high-performance-vectorization-gufuncs-numba-guvectorize" title="Permalink to this heading">#</a></h2>
 <p><code class="docutils literal notranslate"><span class="pre">np.vectorize</span></code> is a very convenient function but is unfortunately slow. It is only marginally faster than writing a for loop in Python and looping. A common way to get around this is to write a base interpolation function that can handle nD arrays in a compiled language like Fortran and then pass that to <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code>.</p>
 <p>Another option is to use the numba package which provides a very <a class="reference external" href="https://numba.pydata.org/numba-doc/latest/user/vectorize.html#the-guvectorize-decorator">convenient <code class="docutils literal notranslate"><span class="pre">guvectorize</span></code> decorator</a>. Any decorated function gets compiled and will loop over any non-core dimension in parallel when necessary.</p>
 <p>We need to specify some extra information:</p>
@@ -2665,22 +2718,6 @@ <h2>High performance vectorization: gufuncs, numba &amp; guvectorize<a class="he
 </pre></div>
 </div>
 </div>
-<div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>data: &lt;object type:UniTuple(int64 x 1)&gt; | x:&lt;object type:UniTuple(int64 x 1)&gt; | xi: &lt;object type:UniTuple(int64 x 1)&gt;
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-data: &lt;object type:UniTuple(int64 x 1)&gt; | x:&lt;object type:UniTuple(int64 x 1)&gt; | xi: &lt;object type:UniTuple(int64 x 1)&gt;
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-data: &lt;object type:UniTuple(int64 x 1)&gt; | x:&lt;object type:UniTuple(int64 x 1)&gt; | xi: &lt;object type:UniTuple(int64 x 1)&gt;
-</pre></div>
-</div>
-</div>
 </div>
 <p>Yay! Our function is receiving 1D vectors and is working automatically with dask arrays.</p>
 <p>Finally let’s comment out the print line and wrap everything up in a nice reusable function</p>
@@ -2726,7 +2763,7 @@ <h2>High performance vectorization: gufuncs, numba &amp; guvectorize<a class="he
 </div>
 </section>
 <section id="summary">
-<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headline">#</a></h2>
+<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this heading">#</a></h2>
 <p>This technique is generalizable to any 1D function that <a class="reference external" href="https://numba.readthedocs.io/en/stable/reference/pysupported.html#pysupported">can be compiled</a> by Numba.</p>
 </section>
 </section>
@@ -2756,11 +2793,10 @@ <h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headli
 
               
               
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index 877a4e09..e2a6fd6b 100644
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   <a class="reference internal image-reference" href="https://numba.pydata.org/_static/numba-blue-horizontal-rgb.svg"><img alt="https://numba.pydata.org/_static/numba-blue-horizontal-rgb.svg" class="align-right" src="https://numba.pydata.org/_static/numba-blue-horizontal-rgb.svg" width="40%" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="fast-vectorization-with-numba">
-<h1>Fast vectorization with Numba<a class="headerlink" href="#fast-vectorization-with-numba" title="Permalink to this headline">#</a></h1>
+<h1>Fast vectorization with Numba<a class="headerlink" href="#fast-vectorization-with-numba" title="Permalink to this heading">#</a></h1>
 <p><code class="docutils literal notranslate"><span class="pre">np.vectorize</span></code> is a very convenient function but is unfortunately slow. It is only marginally faster than writing a for loop in Python and looping.</p>
 <p>A common way to get around this is to write a base interpolation function that can handle nD arrays in a compiled language like C or Fortran and then pass that to <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code>.</p>
 <p>Another option is to use the <a class="reference external" href="https://numba.pydata.org/">numba package</a> which provides two very convenient decorators to build <a class="reference external" href="https://numba.readthedocs.io/en/stable/user/vectorize.html">numpy universal functions or ufuncs</a>:</p>
@@ -531,7 +548,7 @@ <h1>Fast vectorization with Numba<a class="headerlink" href="#fast-vectorization
 <p>For <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> the key concept is that we must provide <code class="docutils literal notranslate"><span class="pre">vectorize=False</span></code> (the default) when using Numba vectorized functions.
 Numba handles the vectorization (or looping) and <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> handles converting Xarray objects to bare arrays and handling metadata.</p>
 <section id="load-data">
-<h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this headline">#</a></h2>
+<h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%</span><span class="k">xmode</span> minimal
@@ -924,13 +941,13 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
   * x        (x) int64 12 13 14
 Dimensions without coordinates: y
 Attributes:
-    foo:      bar</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 3</li><li><span>y</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-57bd21a3-dd6b-4388-ba72-d16244b32fc4' class='xr-array-in' type='checkbox' checked><label for='section-57bd21a3-dd6b-4388-ba72-d16244b32fc4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9 10 11</span></div><div class='xr-array-data'><pre>array([[ 0,  1,  2,  3],
+    foo:      bar</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 3</li><li><span>y</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d0cf7b5e-fe79-41e5-b13c-aa4117f26e36' class='xr-array-in' type='checkbox' checked><label for='section-d0cf7b5e-fe79-41e5-b13c-aa4117f26e36' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9 10 11</span></div><div class='xr-array-data'><pre>array([[ 0,  1,  2,  3],
        [ 4,  5,  6,  7],
-       [ 8,  9, 10, 11]])</pre></div></div></li><li class='xr-section-item'><input id='section-efad9134-0ffe-4a42-acff-005500ec3d5f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-efad9134-0ffe-4a42-acff-005500ec3d5f' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>12 13 14</div><input id='attrs-238c1892-d563-499c-8a05-bc11a508c2c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-238c1892-d563-499c-8a05-bc11a508c2c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c06450a2-9ad2-4da5-a591-ad2a7e93f5a4' class='xr-var-data-in' type='checkbox'><label for='data-c06450a2-9ad2-4da5-a591-ad2a7e93f5a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([12, 13, 14])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59646618-a2cf-4cee-a9fe-2dcd2a6fe551' class='xr-section-summary-in' type='checkbox'  ><label for='section-59646618-a2cf-4cee-a9fe-2dcd2a6fe551' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cf4188c3-0ccd-48bb-9325-ee2aa814e8ed' class='xr-index-data-in' type='checkbox'/><label for='index-cf4188c3-0ccd-48bb-9325-ee2aa814e8ed' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([12, 13, 14], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-df697292-74fc-42b2-86a1-eaad485b5077' class='xr-section-summary-in' type='checkbox'  checked><label for='section-df697292-74fc-42b2-86a1-eaad485b5077' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>foo :</span></dt><dd>bar</dd></dl></div></li></ul></div></div></div></div>
+       [ 8,  9, 10, 11]])</pre></div></div></li><li class='xr-section-item'><input id='section-d7a1e9a4-3292-45b5-9cdf-01804ec6e614' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d7a1e9a4-3292-45b5-9cdf-01804ec6e614' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>12 13 14</div><input id='attrs-07700c4f-3abc-48bf-81ac-f0621beb248b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-07700c4f-3abc-48bf-81ac-f0621beb248b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af393ab3-0497-48f7-afe4-b1860301017c' class='xr-var-data-in' type='checkbox'><label for='data-af393ab3-0497-48f7-afe4-b1860301017c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([12, 13, 14])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34e1a2a4-928e-4766-8e7d-ab7b416bb8bc' class='xr-section-summary-in' type='checkbox'  ><label for='section-34e1a2a4-928e-4766-8e7d-ab7b416bb8bc' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-72ab3619-b199-4daf-a028-77252aa3e8f1' class='xr-index-data-in' type='checkbox'/><label for='index-72ab3619-b199-4daf-a028-77252aa3e8f1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([12, 13, 14], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ec6fc72-8380-4618-8bc3-85a5f89a6361' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3ec6fc72-8380-4618-8bc3-85a5f89a6361' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>foo :</span></dt><dd>bar</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="vectorize">
-<h2><code class="docutils literal notranslate"><span class="pre">vectorize</span></code><a class="headerlink" href="#vectorize" title="Permalink to this headline">#</a></h2>
+<h2><code class="docutils literal notranslate"><span class="pre">vectorize</span></code><a class="headerlink" href="#vectorize" title="Permalink to this heading">#</a></h2>
 <p>Our <code class="docutils literal notranslate"><span class="pre">squared_error</span></code> example from earlier works element-by-element, and is a great example for <code class="docutils literal notranslate"><span class="pre">vectorize</span></code></p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1322,13 +1339,13 @@ <h2><code class="docutils literal notranslate"><span class="pre">vectorize</span
        [ 49.,  64.,  81., 100.]])
 Coordinates:
   * x        (x) int64 12 13 14
-Dimensions without coordinates: y</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 3</li><li><span>y</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b0e3ac65-4cf1-4dc1-b128-73d9410277f0' class='xr-array-in' type='checkbox' checked><label for='section-b0e3ac65-4cf1-4dc1-b128-73d9410277f0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.0 0.0 1.0 4.0 9.0 16.0 25.0 36.0 49.0 64.0 81.0 100.0</span></div><div class='xr-array-data'><pre>array([[  1.,   0.,   1.,   4.],
+Dimensions without coordinates: y</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 3</li><li><span>y</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-40b189bf-dfe6-4d20-ad4d-c76b4f4fa2f3' class='xr-array-in' type='checkbox' checked><label for='section-40b189bf-dfe6-4d20-ad4d-c76b4f4fa2f3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.0 0.0 1.0 4.0 9.0 16.0 25.0 36.0 49.0 64.0 81.0 100.0</span></div><div class='xr-array-data'><pre>array([[  1.,   0.,   1.,   4.],
        [  9.,  16.,  25.,  36.],
-       [ 49.,  64.,  81., 100.]])</pre></div></div></li><li class='xr-section-item'><input id='section-87b83b46-ea9d-432f-b699-fece80f6f64c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-87b83b46-ea9d-432f-b699-fece80f6f64c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>12 13 14</div><input id='attrs-e23bc6b1-84c8-4218-b6df-a7f4c4da60b8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e23bc6b1-84c8-4218-b6df-a7f4c4da60b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8de4dcfa-fd36-483f-bdda-dbd8c3b18f44' class='xr-var-data-in' type='checkbox'><label for='data-8de4dcfa-fd36-483f-bdda-dbd8c3b18f44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([12, 13, 14])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36cbc640-b159-439e-a31a-9832a6c40544' class='xr-section-summary-in' type='checkbox'  ><label for='section-36cbc640-b159-439e-a31a-9832a6c40544' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6bec9caf-1ffb-4ec6-898b-0db51b346f2f' class='xr-index-data-in' type='checkbox'/><label for='index-6bec9caf-1ffb-4ec6-898b-0db51b346f2f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([12, 13, 14], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-431ae003-59a2-4e27-b518-ec041d635f94' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-431ae003-59a2-4e27-b518-ec041d635f94' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [ 49.,  64.,  81., 100.]])</pre></div></div></li><li class='xr-section-item'><input id='section-b9494cc5-d61d-4c71-80fc-23ee4f75949f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b9494cc5-d61d-4c71-80fc-23ee4f75949f' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>12 13 14</div><input id='attrs-577942b1-6e5b-4fc7-85ca-e95c03db64c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-577942b1-6e5b-4fc7-85ca-e95c03db64c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7283772-b881-4993-b20b-b764803f2917' class='xr-var-data-in' type='checkbox'><label for='data-a7283772-b881-4993-b20b-b764803f2917' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([12, 13, 14])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ea2ac92-638f-4bf2-abb9-3b18665c2e67' class='xr-section-summary-in' type='checkbox'  ><label for='section-7ea2ac92-638f-4bf2-abb9-3b18665c2e67' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ef3f980d-cd48-4764-93d3-1e6eb12f0bbf' class='xr-index-data-in' type='checkbox'/><label for='index-ef3f980d-cd48-4764-93d3-1e6eb12f0bbf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([12, 13, 14], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac136cb4-ee32-4ac6-877d-e242b603d11c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac136cb4-ee32-4ac6-877d-e242b603d11c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="guvectorize">
-<h2><code class="docutils literal notranslate"><span class="pre">guvectorize</span></code><a class="headerlink" href="#guvectorize" title="Permalink to this headline">#</a></h2>
+<h2><code class="docutils literal notranslate"><span class="pre">guvectorize</span></code><a class="headerlink" href="#guvectorize" title="Permalink to this heading">#</a></h2>
 <p><code class="docutils literal notranslate"><span class="pre">guvectorize</span></code> is for functions that work on small subsets of the data. Quoting the Numba documentation</p>
 <blockquote>
 <div><p>While <code class="docutils literal notranslate"><span class="pre">vectorize()</span></code> allows you to write ufuncs that work on one element at a time, the <code class="docutils literal notranslate"><span class="pre">guvectorize()</span></code> decorator takes the concept one step further and allows you to write ufuncs that will work on an arbitrary number of elements of input arrays, and take and return arrays of differing dimensions. The typical example is a running median or a convolution filter.</p>
@@ -1754,10 +1771,10 @@ <h2><code class="docutils literal notranslate"><span class="pre">guvectorize</sp
        [ 4,  8, 12]])
 Coordinates:
   * x        (x) int64 12 13 14
-Dimensions without coordinates: y</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>y</span>: 4</li><li><span class='xr-has-index'>x</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b635a5ff-8a3f-44ed-b7c9-5c53f2cf97e9' class='xr-array-in' type='checkbox' checked><label for='section-b635a5ff-8a3f-44ed-b7c9-5c53f2cf97e9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 5 9 2 6 10 3 7 11 4 8 12</span></div><div class='xr-array-data'><pre>array([[ 1,  5,  9],
+Dimensions without coordinates: y</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>y</span>: 4</li><li><span class='xr-has-index'>x</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ff19fdf7-d2e5-43b1-a471-fd0584ccb15d' class='xr-array-in' type='checkbox' checked><label for='section-ff19fdf7-d2e5-43b1-a471-fd0584ccb15d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 5 9 2 6 10 3 7 11 4 8 12</span></div><div class='xr-array-data'><pre>array([[ 1,  5,  9],
        [ 2,  6, 10],
        [ 3,  7, 11],
-       [ 4,  8, 12]])</pre></div></div></li><li class='xr-section-item'><input id='section-a457760d-6f35-45aa-ad50-30677fa9cd40' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a457760d-6f35-45aa-ad50-30677fa9cd40' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>12 13 14</div><input id='attrs-6827ecf7-884e-445d-a137-c54f8128cf0f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6827ecf7-884e-445d-a137-c54f8128cf0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a042e5bb-f599-4be1-bf60-e0b01598d801' class='xr-var-data-in' type='checkbox'><label for='data-a042e5bb-f599-4be1-bf60-e0b01598d801' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([12, 13, 14])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-58944e48-356b-4c3e-9d36-3279002e7ffd' class='xr-section-summary-in' type='checkbox'  ><label for='section-58944e48-356b-4c3e-9d36-3279002e7ffd' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a65d0495-2897-47f5-b125-46051845b234' class='xr-index-data-in' type='checkbox'/><label for='index-a65d0495-2897-47f5-b125-46051845b234' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([12, 13, 14], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-776db4c7-df5b-4dac-9903-3700218fdd32' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-776db4c7-df5b-4dac-9903-3700218fdd32' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [ 4,  8, 12]])</pre></div></div></li><li class='xr-section-item'><input id='section-cfd29cde-e6e6-454a-9a26-e10363c129bc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cfd29cde-e6e6-454a-9a26-e10363c129bc' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>12 13 14</div><input id='attrs-7c09b638-d8eb-4a32-b579-e65645d07a84' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7c09b638-d8eb-4a32-b579-e65645d07a84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11879240-6b22-4ab1-af22-f01131f17d70' class='xr-var-data-in' type='checkbox'><label for='data-11879240-6b22-4ab1-af22-f01131f17d70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([12, 13, 14])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-18063b55-8762-465e-a624-d2956e860822' class='xr-section-summary-in' type='checkbox'  ><label for='section-18063b55-8762-465e-a624-d2956e860822' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-07998033-cd5c-4c9c-9eff-0cc3ec285cd6' class='xr-index-data-in' type='checkbox'/><label for='index-07998033-cd5c-4c9c-9eff-0cc3ec285cd6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([12, 13, 14], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-141a00ed-baaa-443f-9fd3-53e815229af2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-141a00ed-baaa-443f-9fd3-53e815229af2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Notice the following:</p>
 <ol class="arabic simple">
@@ -1767,7 +1784,7 @@ <h2><code class="docutils literal notranslate"><span class="pre">guvectorize</sp
 </ol>
 </section>
 <section id="with-dask">
-<h2>With dask<a class="headerlink" href="#with-dask" title="Permalink to this headline">#</a></h2>
+<h2>With dask<a class="headerlink" href="#with-dask" title="Permalink to this heading">#</a></h2>
 <p>Use the chunked DataArray</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2146,7 +2163,7 @@ <h2>With dask<a class="headerlink" href="#with-dask" title="Permalink to this he
   * x        (x) int64 12 13 14
 Dimensions without coordinates: y
 Attributes:
-    foo:      bar</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 3</li><li><span>y</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c174defb-9797-477d-ada5-2a816fe8746c' class='xr-array-in' type='checkbox' checked><label for='section-c174defb-9797-477d-ada5-2a816fe8746c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(3, 1), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+    foo:      bar</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 3</li><li><span>y</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-788e468c-07da-4b36-a252-01fdb8fe8c7f' class='xr-array-in' type='checkbox' checked><label for='section-788e468c-07da-4b36-a252-01fdb8fe8c7f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(3, 1), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -2204,7 +2221,7 @@ <h2>With dask<a class="headerlink" href="#with-dask" title="Permalink to this he
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-190b9af1-4c9c-45a1-8d63-28b98db39043' class='xr-section-summary-in' type='checkbox'  checked><label for='section-190b9af1-4c9c-45a1-8d63-28b98db39043' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>12 13 14</div><input id='attrs-331f6cf9-dbda-4c59-aad4-d051e90554b0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-331f6cf9-dbda-4c59-aad4-d051e90554b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da5aaaed-9185-4b7c-99e0-b2aec7874224' class='xr-var-data-in' type='checkbox'><label for='data-da5aaaed-9185-4b7c-99e0-b2aec7874224' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([12, 13, 14])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d80ce593-71b8-4eb2-9938-0c27b884bcd4' class='xr-section-summary-in' type='checkbox'  ><label for='section-d80ce593-71b8-4eb2-9938-0c27b884bcd4' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-be3c31b4-016b-43a8-ab6f-5dd99245223c' class='xr-index-data-in' type='checkbox'/><label for='index-be3c31b4-016b-43a8-ab6f-5dd99245223c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([12, 13, 14], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e99c1c0c-776a-4399-9231-29d1c10a9e26' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e99c1c0c-776a-4399-9231-29d1c10a9e26' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>foo :</span></dt><dd>bar</dd></dl></div></li></ul></div></div></div></div>
+</table></div></div></li><li class='xr-section-item'><input id='section-3cbfaa3e-ef53-4d06-9379-0708a77cc4c8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3cbfaa3e-ef53-4d06-9379-0708a77cc4c8' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>12 13 14</div><input id='attrs-2326280c-6fb0-44a4-88b0-d00e8ccf5b20' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2326280c-6fb0-44a4-88b0-d00e8ccf5b20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38fdf353-f1ba-4f94-a32f-a93c63be4bd7' class='xr-var-data-in' type='checkbox'><label for='data-38fdf353-f1ba-4f94-a32f-a93c63be4bd7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([12, 13, 14])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d2e81ad2-da02-423e-9ab5-6170f56569ee' class='xr-section-summary-in' type='checkbox'  ><label for='section-d2e81ad2-da02-423e-9ab5-6170f56569ee' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4bf6a684-aea6-44b2-ae4b-0b29453d7d56' class='xr-index-data-in' type='checkbox'/><label for='index-4bf6a684-aea6-44b2-ae4b-0b29453d7d56' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([12, 13, 14], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0abf31d0-9301-4b54-9e88-c46d13e3e821' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0abf31d0-9301-4b54-9e88-c46d13e3e821' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>foo :</span></dt><dd>bar</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="exercise admonition" id="g">
 
@@ -2231,7 +2248,7 @@ <h2>With dask<a class="headerlink" href="#with-dask" title="Permalink to this he
 </div>
 </section>
 <section id="next">
-<h2>Next<a class="headerlink" href="#next" title="Permalink to this headline">#</a></h2>
+<h2>Next<a class="headerlink" href="#next" title="Permalink to this heading">#</a></h2>
 <p>For more, see the numpy.interp end-to-end example in the left sidebar.</p>
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@@ -2261,11 +2278,10 @@ <h2>Next<a class="headerlink" href="#next" title="Permalink to this headline">#<
 
               
               
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@@ -2285,10 +2301,7 @@ <h2>Next<a class="headerlink" href="#next" title="Permalink to this headline">#<
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+++ b/advanced/apply_ufunc/simple_numpy_apply_ufunc.html
@@ -3,7 +3,7 @@
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-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
 `);
 </script>
 
+
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 document.write(`
   <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -518,10 +535,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="a-gentle-introduction">
-<span id="gentle-intro"></span><h1>A gentle introduction<a class="headerlink" href="#a-gentle-introduction" title="Permalink to this headline">#</a></h1>
+<span id="gentle-intro"></span><h1>A gentle introduction<a class="headerlink" href="#a-gentle-introduction" title="Permalink to this heading">#</a></h1>
 <p>Many, but not all, useful array methods are wrapped by Xarray and accessible
 as methods on Xarray objects. For example <code class="docutils literal notranslate"><span class="pre">DataArray.mean</span></code> calls <code class="docutils literal notranslate"><span class="pre">numpy.nanmean</span></code>.
 A very common use-case is to apply functions that expect and return NumPy
@@ -544,7 +561,7 @@ <h2> Contents </h2>
 <p>We’ll reduce the length of error messages using <code class="docutils literal notranslate"><span class="pre">%xmode</span> <span class="pre">minimal</span></code> See the <a class="reference external" href="https://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-xmode">ipython documentation</a> for details.</p>
 </div>
 <section id="setup">
-<h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">#</a></h2>
+<h2>Setup<a class="headerlink" href="#setup" title="Permalink to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="o">%</span><span class="k">xmode</span> minimal
@@ -949,17 +966,17 @@ <h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-50bbeff1-89b3-45d0-917d-389e85de8fb0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-50bbeff1-89b3-45d0-917d-389e85de8fb0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-33e7c46e-f5be-462c-ad62-441e1ceae215' class='xr-section-summary-in' type='checkbox'  checked><label for='section-33e7c46e-f5be-462c-ad62-441e1ceae215' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-e899e7f8-a0bf-43e7-b050-c354c59cd6df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e899e7f8-a0bf-43e7-b050-c354c59cd6df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0be6714b-6680-4646-84e2-15b843833811' class='xr-var-data-in' type='checkbox'><label for='data-0be6714b-6680-4646-84e2-15b843833811' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-da97a28d-13dc-44dc-b6ee-6593826fef0f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-da97a28d-13dc-44dc-b6ee-6593826fef0f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-58aa2b52-47b7-4b1d-9036-ecdfad928b44' class='xr-section-summary-in' type='checkbox'  checked><label for='section-58aa2b52-47b7-4b1d-9036-ecdfad928b44' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-3e64d123-e1de-4334-a6b5-0305f2b3f728' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e64d123-e1de-4334-a6b5-0305f2b3f728' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e91c402-b92d-4c38-8a36-a2a7e33d37df' class='xr-var-data-in' type='checkbox'><label for='data-3e91c402-b92d-4c38-8a36-a2a7e33d37df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ed2e8c03-459c-4032-ba83-e0f603ae7578' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed2e8c03-459c-4032-ba83-e0f603ae7578' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6390b01-aba7-4c35-9b3c-1b49572fc978' class='xr-var-data-in' type='checkbox'><label for='data-e6390b01-aba7-4c35-9b3c-1b49572fc978' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-27cb1b5e-1862-407f-85b3-f04f1635344d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27cb1b5e-1862-407f-85b3-f04f1635344d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95436168-1bd7-4c32-aa8e-88fe9e7c7343' class='xr-var-data-in' type='checkbox'><label for='data-95436168-1bd7-4c32-aa8e-88fe9e7c7343' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-0dfe1632-470e-42e1-83f3-f059fe099fcc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dfe1632-470e-42e1-83f3-f059fe099fcc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9df3607-44aa-4372-91e1-06390e8acf00' class='xr-var-data-in' type='checkbox'><label for='data-c9df3607-44aa-4372-91e1-06390e8acf00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-bfcbd65b-ce74-442f-96d1-76490eac1fb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfcbd65b-ce74-442f-96d1-76490eac1fb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f8a36ac-d727-4e7d-9cb1-0cc156d0a5fd' class='xr-var-data-in' type='checkbox'><label for='data-0f8a36ac-d727-4e7d-9cb1-0cc156d0a5fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a40b7f4-e10b-416d-aa6a-b0da78ebb678' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a40b7f4-e10b-416d-aa6a-b0da78ebb678' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-3ac11d3e-c54d-4ba6-add4-399771b32666' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ac11d3e-c54d-4ba6-add4-399771b32666' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34fe9d53-e3eb-48ab-8910-58c62fda10de' class='xr-var-data-in' type='checkbox'><label for='data-34fe9d53-e3eb-48ab-8910-58c62fda10de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , ..., 235.5    , 238.59999],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8efcc8fa-35cf-48c1-8ad4-6eb253a53efe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8efcc8fa-35cf-48c1-8ad4-6eb253a53efe' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-13bef562-23dc-4bea-a8fe-43a05cce7120' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13bef562-23dc-4bea-a8fe-43a05cce7120' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38c64c92-a2eb-4b9c-a9f7-b7d3ffa331c5' class='xr-var-data-in' type='checkbox'><label for='data-38c64c92-a2eb-4b9c-a9f7-b7d3ffa331c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , ..., 235.5    , 238.59999],
         [243.79999, 244.5    , ..., 235.29999, 239.29999],
         ...,
         [295.9    , 296.19998, ..., 295.9    , 295.19998],
@@ -983,16 +1000,16 @@ <h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">
         [249.89   , 249.29   , ..., 240.29   , 241.68999],
         ...,
         [296.09   , 296.88998, ..., 295.69   , 295.19   ],
-        [297.69   , 298.09   , ..., 296.19   , 295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee245981-09b7-4f1b-bc03-813b3b628f29' class='xr-section-summary-in' type='checkbox'  ><label for='section-ee245981-09b7-4f1b-bc03-813b3b628f29' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ad7fa737-14bb-41ae-86e9-95a4de5c174a' class='xr-index-data-in' type='checkbox'/><label for='index-ad7fa737-14bb-41ae-86e9-95a4de5c174a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+        [297.69   , 298.09   , ..., 296.19   , 295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-342af01d-d467-46c7-8ce9-bd34795eaf91' class='xr-section-summary-in' type='checkbox'  ><label for='section-342af01d-d467-46c7-8ce9-bd34795eaf91' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d35eeb5-3d4c-4ccb-9197-42a45ad6494c' class='xr-index-data-in' type='checkbox'/><label for='index-9d35eeb5-3d4c-4ccb-9197-42a45ad6494c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-54f48ebc-5066-46fc-973a-7b6c0ac8a824' class='xr-index-data-in' type='checkbox'/><label for='index-54f48ebc-5066-46fc-973a-7b6c0ac8a824' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dc344765-00d5-4ac7-94aa-bc643826f5b8' class='xr-index-data-in' type='checkbox'/><label for='index-dc344765-00d5-4ac7-94aa-bc643826f5b8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-25776098-4dac-420f-87ea-fba65d5c022f' class='xr-index-data-in' type='checkbox'/><label for='index-25776098-4dac-420f-87ea-fba65d5c022f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-202f5be7-7fd8-4bba-98b2-63627775dc17' class='xr-index-data-in' type='checkbox'/><label for='index-202f5be7-7fd8-4bba-98b2-63627775dc17' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1003,12 +1020,12 @@ <h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d792ccfb-07e3-45a0-9aa4-3e90093c2008' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d792ccfb-07e3-45a0-9aa4-3e90093c2008' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ab1abfc-5509-469b-a91e-8606bc1b32d6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3ab1abfc-5509-469b-a91e-8606bc1b32d6' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="a-simple-example-pure-numpy">
-<h2>A simple example: pure numpy<a class="headerlink" href="#a-simple-example-pure-numpy" title="Permalink to this headline">#</a></h2>
+<h2>A simple example: pure numpy<a class="headerlink" href="#a-simple-example-pure-numpy" title="Permalink to this heading">#</a></h2>
 <p>Simple functions that act independently on each value should work without any
 additional arguments.</p>
 <p>Consider the following <code class="docutils literal notranslate"><span class="pre">squared_error</span></code> function</p>
@@ -1462,7 +1479,7 @@ <h2>A simple example: pure numpy<a class="headerlink" href="#a-simple-example-pu
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d373ea76-5f93-49db-be60-38b3044830af' class='xr-array-in' type='checkbox' ><label for='section-d373ea76-5f93-49db-be60-38b3044830af' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.77e+04 5.832e+04 5.881e+04 ... 8.731e+04 8.714e+04 8.684e+04</span></div><div class='xr-array-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bef20513-2d42-4b67-b85c-44485513075c' class='xr-array-in' type='checkbox' ><label for='section-bef20513-2d42-4b67-b85c-44485513075c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.77e+04 5.832e+04 5.881e+04 ... 8.731e+04 8.714e+04 8.684e+04</span></div><div class='xr-array-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
         [58951.836, 59292.25 , ..., 54896.484, 56786.883],
         ...,
         [86966.01 , 87143.03 , ..., 86966.01 , 86553.63 ],
@@ -1486,26 +1503,26 @@ <h2>A simple example: pure numpy<a class="headerlink" href="#a-simple-example-pu
         [61946.23 , 61647.92 , ..., 57259.7  , 57931.67 ],
         ...,
         [87078.11 , 87550.88 , ..., 86842.195, 86547.76 ],
-        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-88a8ac2e-0c59-46c6-9171-44ffc9f598d9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-88a8ac2e-0c59-46c6-9171-44ffc9f598d9' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a511cbc6-d291-43d8-bbea-3f834387f4f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a511cbc6-d291-43d8-bbea-3f834387f4f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99a2b8fe-3320-4657-9ef6-c174a712de10' class='xr-var-data-in' type='checkbox'><label for='data-99a2b8fe-3320-4657-9ef6-c174a712de10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c286c65f-3986-499d-b16f-d7e65c71290e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c286c65f-3986-499d-b16f-d7e65c71290e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-06a266e1-d5bd-47ec-8853-326e8ef01a0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06a266e1-d5bd-47ec-8853-326e8ef01a0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4a34024-2305-411c-af53-13b80c077466' class='xr-var-data-in' type='checkbox'><label for='data-d4a34024-2305-411c-af53-13b80c077466' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-616eec17-48e8-4149-9758-84dc6aede1e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-616eec17-48e8-4149-9758-84dc6aede1e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08ea70c1-c564-4a00-b166-dff2c4654104' class='xr-var-data-in' type='checkbox'><label for='data-08ea70c1-c564-4a00-b166-dff2c4654104' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-441cb9e0-c643-4804-8fc7-c0d9e59de1cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-441cb9e0-c643-4804-8fc7-c0d9e59de1cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4749dfa6-c4e4-4c98-b19e-77295739f1a3' class='xr-var-data-in' type='checkbox'><label for='data-4749dfa6-c4e4-4c98-b19e-77295739f1a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-0747d6ef-c742-460e-861d-443c448658d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0747d6ef-c742-460e-861d-443c448658d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-236baf18-3f03-42e0-869c-ea750b5d9540' class='xr-var-data-in' type='checkbox'><label for='data-236baf18-3f03-42e0-869c-ea750b5d9540' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-48ad63f2-bdee-4ebf-93ac-ce16b1df5a1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48ad63f2-bdee-4ebf-93ac-ce16b1df5a1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f96decc6-281b-431f-ba88-31664b4fd189' class='xr-var-data-in' type='checkbox'><label for='data-f96decc6-281b-431f-ba88-31664b4fd189' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6f062c7e-9723-40b1-b93a-2437be9623f5' class='xr-section-summary-in' type='checkbox'  ><label for='section-6f062c7e-9723-40b1-b93a-2437be9623f5' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8d1ffda5-4180-42a0-80c9-5fd558fd1399' class='xr-index-data-in' type='checkbox'/><label for='index-8d1ffda5-4180-42a0-80c9-5fd558fd1399' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-11e3f24d-29b9-4110-8487-03fe87b764a3' class='xr-section-summary-in' type='checkbox'  ><label for='section-11e3f24d-29b9-4110-8487-03fe87b764a3' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0d9ca96-7f9b-4104-ab31-c0754730f92c' class='xr-index-data-in' type='checkbox'/><label for='index-e0d9ca96-7f9b-4104-ab31-c0754730f92c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f8b9dd97-70c0-4c01-b137-af91a42765a4' class='xr-index-data-in' type='checkbox'/><label for='index-f8b9dd97-70c0-4c01-b137-af91a42765a4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0b4cdf74-b229-4864-a5dc-398476bd4ae1' class='xr-index-data-in' type='checkbox'/><label for='index-0b4cdf74-b229-4864-a5dc-398476bd4ae1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e6f4d0da-c68b-4ee1-9180-68be77432c26' class='xr-index-data-in' type='checkbox'/><label for='index-e6f4d0da-c68b-4ee1-9180-68be77432c26' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0b694af-b476-4078-b9d5-89e3dbcd7126' class='xr-index-data-in' type='checkbox'/><label for='index-e0b694af-b476-4078-b9d5-89e3dbcd7126' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1516,7 +1533,7 @@ <h2>A simple example: pure numpy<a class="headerlink" href="#a-simple-example-pu
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5b34ef9f-e66e-44f9-8641-52d21c182186' class='xr-section-summary-in' type='checkbox'  ><label for='section-5b34ef9f-e66e-44f9-8641-52d21c182186' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-15a8bce8-c3f0-4c33-aec8-1baec6d44923' class='xr-section-summary-in' type='checkbox'  ><label for='section-15a8bce8-c3f0-4c33-aec8-1baec6d44923' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>A shorter version uses <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.copy.html">DataArray.copy</a></p>
 <div class="cell docutils container">
@@ -1906,7 +1923,7 @@ <h2>A simple example: pure numpy<a class="headerlink" href="#a-simple-example-pu
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bcb591cb-56c3-4dbf-a6d4-bfbb1b9fe638' class='xr-array-in' type='checkbox' ><label for='section-bcb591cb-56c3-4dbf-a6d4-bfbb1b9fe638' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.77e+04 5.832e+04 5.881e+04 ... 8.731e+04 8.714e+04 8.684e+04</span></div><div class='xr-array-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f00db9af-3786-42d2-9e96-726bb748d0f9' class='xr-array-in' type='checkbox' ><label for='section-f00db9af-3786-42d2-9e96-726bb748d0f9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.77e+04 5.832e+04 5.881e+04 ... 8.731e+04 8.714e+04 8.684e+04</span></div><div class='xr-array-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
         [58951.836, 59292.25 , ..., 54896.484, 56786.883],
         ...,
         [86966.01 , 87143.03 , ..., 86966.01 , 86553.63 ],
@@ -1930,26 +1947,26 @@ <h2>A simple example: pure numpy<a class="headerlink" href="#a-simple-example-pu
         [61946.23 , 61647.92 , ..., 57259.7  , 57931.67 ],
         ...,
         [87078.11 , 87550.88 , ..., 86842.195, 86547.76 ],
-        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-4afc77a7-6b6e-4322-aa54-288ca86bbf4c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4afc77a7-6b6e-4322-aa54-288ca86bbf4c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-452483c9-6c15-433d-b93b-db592cf210d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-452483c9-6c15-433d-b93b-db592cf210d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94e0506a-c982-4d8b-ab66-bcb95e464ea6' class='xr-var-data-in' type='checkbox'><label for='data-94e0506a-c982-4d8b-ab66-bcb95e464ea6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9da3c248-9472-4654-bd44-75d96253e101' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9da3c248-9472-4654-bd44-75d96253e101' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-540433ef-024e-4fa6-8367-b180b70d3804' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-540433ef-024e-4fa6-8367-b180b70d3804' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-128370f3-110e-40c5-98c0-71c02ba2cf0d' class='xr-var-data-in' type='checkbox'><label for='data-128370f3-110e-40c5-98c0-71c02ba2cf0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-680f4096-ef5f-4bd9-be71-adfa9dca07f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-680f4096-ef5f-4bd9-be71-adfa9dca07f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7786bfc-42d8-43be-8b36-192d0a41d721' class='xr-var-data-in' type='checkbox'><label for='data-e7786bfc-42d8-43be-8b36-192d0a41d721' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-a1e7900a-e5fe-4227-a750-583c33828393' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1e7900a-e5fe-4227-a750-583c33828393' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ea4cfdd-7162-4c88-ae25-a03d27857d59' class='xr-var-data-in' type='checkbox'><label for='data-1ea4cfdd-7162-4c88-ae25-a03d27857d59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-a4bb8248-cfb7-4dde-9964-1693c02f60cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4bb8248-cfb7-4dde-9964-1693c02f60cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32cc4743-adac-4c5b-91b2-7e51f196783d' class='xr-var-data-in' type='checkbox'><label for='data-32cc4743-adac-4c5b-91b2-7e51f196783d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-94871128-f56c-4c12-85f4-2906d95d4e2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94871128-f56c-4c12-85f4-2906d95d4e2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-500b16d7-ae31-456f-94fb-a296859d5a40' class='xr-var-data-in' type='checkbox'><label for='data-500b16d7-ae31-456f-94fb-a296859d5a40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-509c841f-54ed-4286-b202-8d0897aa5c3f' class='xr-section-summary-in' type='checkbox'  ><label for='section-509c841f-54ed-4286-b202-8d0897aa5c3f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-85f196c0-07e4-4e78-846a-4d3a2fcdc968' class='xr-index-data-in' type='checkbox'/><label for='index-85f196c0-07e4-4e78-846a-4d3a2fcdc968' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1f00476c-fe8e-4fab-a947-6b11ea98d08d' class='xr-section-summary-in' type='checkbox'  ><label for='section-1f00476c-fe8e-4fab-a947-6b11ea98d08d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4259606e-c10e-42ea-9e05-c9e833caadcc' class='xr-index-data-in' type='checkbox'/><label for='index-4259606e-c10e-42ea-9e05-c9e833caadcc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6d04c297-7c22-4ac0-83d0-46e7f99fca3a' class='xr-index-data-in' type='checkbox'/><label for='index-6d04c297-7c22-4ac0-83d0-46e7f99fca3a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c7240329-0531-4937-8e6d-a1168b3455b3' class='xr-index-data-in' type='checkbox'/><label for='index-c7240329-0531-4937-8e6d-a1168b3455b3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c8520924-cfcc-4ec4-b79b-0b52212e438b' class='xr-index-data-in' type='checkbox'/><label for='index-c8520924-cfcc-4ec4-b79b-0b52212e438b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0d9c32a-5e70-427c-8859-d011496599b5' class='xr-index-data-in' type='checkbox'/><label for='index-e0d9c32a-5e70-427c-8859-d011496599b5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1960,7 +1977,7 @@ <h2>A simple example: pure numpy<a class="headerlink" href="#a-simple-example-pu
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d76e806e-6d9a-49c6-b779-43618da8ccc2' class='xr-section-summary-in' type='checkbox'  ><label for='section-d76e806e-6d9a-49c6-b779-43618da8ccc2' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-903c14a6-f6e4-4468-aafd-63ad8341e6d9' class='xr-section-summary-in' type='checkbox'  ><label for='section-903c14a6-f6e4-4468-aafd-63ad8341e6d9' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="admonition caution">
 <p class="admonition-title">Caution</p>
@@ -1969,7 +1986,7 @@ <h2>A simple example: pure numpy<a class="headerlink" href="#a-simple-example-pu
 </div>
 </section>
 <section id="apply-ufunc">
-<h2>apply_ufunc<a class="headerlink" href="#apply-ufunc" title="Permalink to this headline">#</a></h2>
+<h2>apply_ufunc<a class="headerlink" href="#apply-ufunc" title="Permalink to this heading">#</a></h2>
 <p><code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> can handle more complicated functions. Here’s how to use it with <code class="docutils literal notranslate"><span class="pre">squared_error</span></code></p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2346,7 +2363,7 @@ <h2>apply_ufunc<a class="headerlink" href="#apply-ufunc" title="Permalink to thi
 Coordinates:
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4f812ccb-f74e-4d81-b20e-43cccf282353' class='xr-array-in' type='checkbox' ><label for='section-4f812ccb-f74e-4d81-b20e-43cccf282353' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.77e+04 5.832e+04 5.881e+04 ... 8.731e+04 8.714e+04 8.684e+04</span></div><div class='xr-array-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e1969525-11dc-4917-8dae-e3de34e83c10' class='xr-array-in' type='checkbox' ><label for='section-e1969525-11dc-4917-8dae-e3de34e83c10' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.77e+04 5.832e+04 5.881e+04 ... 8.731e+04 8.714e+04 8.684e+04</span></div><div class='xr-array-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
         [58951.836, 59292.25 , ..., 54896.484, 56786.883],
         ...,
         [86966.01 , 87143.03 , ..., 86966.01 , 86553.63 ],
@@ -2370,26 +2387,26 @@ <h2>apply_ufunc<a class="headerlink" href="#apply-ufunc" title="Permalink to thi
         [61946.23 , 61647.92 , ..., 57259.7  , 57931.67 ],
         ...,
         [87078.11 , 87550.88 , ..., 86842.195, 86547.76 ],
-        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-578ab786-80b9-4c6f-9b0f-38fecc4411a6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-578ab786-80b9-4c6f-9b0f-38fecc4411a6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-fad13b29-d920-411e-9746-a5663daaaa59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fad13b29-d920-411e-9746-a5663daaaa59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2416c16-443d-4442-a884-164f1a06c2ce' class='xr-var-data-in' type='checkbox'><label for='data-c2416c16-443d-4442-a884-164f1a06c2ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-22f9d9c8-ac04-45ae-89b0-71f5b587cf2b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-22f9d9c8-ac04-45ae-89b0-71f5b587cf2b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-ecb0fe45-8eb7-467a-815e-eda3cafe4fa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecb0fe45-8eb7-467a-815e-eda3cafe4fa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-879d84cf-4f75-4ed5-828f-23d2c99b11b4' class='xr-var-data-in' type='checkbox'><label for='data-879d84cf-4f75-4ed5-828f-23d2c99b11b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-4fcf49ab-ddde-4e4f-969e-c4c36ce217aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fcf49ab-ddde-4e4f-969e-c4c36ce217aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7beac1ae-29eb-4860-ba74-45ae60701df3' class='xr-var-data-in' type='checkbox'><label for='data-7beac1ae-29eb-4860-ba74-45ae60701df3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-bd3011a4-a964-4c58-8ebf-0ca3555de3cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd3011a4-a964-4c58-8ebf-0ca3555de3cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b70e2ab7-8aa9-4d82-ba8f-5133e1816c95' class='xr-var-data-in' type='checkbox'><label for='data-b70e2ab7-8aa9-4d82-ba8f-5133e1816c95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9a6c9117-5fd1-44e7-ba2a-c0208eb56a53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a6c9117-5fd1-44e7-ba2a-c0208eb56a53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8a2c638-88db-4e41-88cf-37039b184f3e' class='xr-var-data-in' type='checkbox'><label for='data-e8a2c638-88db-4e41-88cf-37039b184f3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-13549c0a-bc41-48ee-a502-d38806738aaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13549c0a-bc41-48ee-a502-d38806738aaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5b93835-735d-4415-85ff-830c13b02886' class='xr-var-data-in' type='checkbox'><label for='data-f5b93835-735d-4415-85ff-830c13b02886' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9933c125-1822-48d0-855b-73ef97242130' class='xr-section-summary-in' type='checkbox'  ><label for='section-9933c125-1822-48d0-855b-73ef97242130' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fcdc738f-092a-4fc1-8d21-557341ce6704' class='xr-index-data-in' type='checkbox'/><label for='index-fcdc738f-092a-4fc1-8d21-557341ce6704' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f411c8c-2b74-4194-8752-fbebe74f96d6' class='xr-section-summary-in' type='checkbox'  ><label for='section-8f411c8c-2b74-4194-8752-fbebe74f96d6' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e083c6ec-02e7-4ce1-a3a5-393e025a105e' class='xr-index-data-in' type='checkbox'/><label for='index-e083c6ec-02e7-4ce1-a3a5-393e025a105e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ee679fb0-4bf1-4240-9f39-0309493f70e5' class='xr-index-data-in' type='checkbox'/><label for='index-ee679fb0-4bf1-4240-9f39-0309493f70e5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1e11f24f-a48d-4ebe-a46d-059ddbf7f3d4' class='xr-index-data-in' type='checkbox'/><label for='index-1e11f24f-a48d-4ebe-a46d-059ddbf7f3d4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0f44a71b-9473-48e4-b9b4-04d7ad803354' class='xr-index-data-in' type='checkbox'/><label for='index-0f44a71b-9473-48e4-b9b4-04d7ad803354' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f7c9fe5e-923f-48ba-a338-8e73ddba46a6' class='xr-index-data-in' type='checkbox'/><label for='index-f7c9fe5e-923f-48ba-a338-8e73ddba46a6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2400,11 +2417,11 @@ <h2>apply_ufunc<a class="headerlink" href="#apply-ufunc" title="Permalink to thi
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32fe1b61-ccb9-4870-9fbc-d1c8cc61df23' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-32fe1b61-ccb9-4870-9fbc-d1c8cc61df23' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3571e431-1686-49a1-83cc-2658ca4340c7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3571e431-1686-49a1-83cc-2658ca4340c7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="how-does-apply-ufunc-work">
-<h2>How does apply_ufunc work?<a class="headerlink" href="#how-does-apply-ufunc-work" title="Permalink to this headline">#</a></h2>
+<h2>How does apply_ufunc work?<a class="headerlink" href="#how-does-apply-ufunc-work" title="Permalink to this heading">#</a></h2>
 <p>This line</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">xr</span><span class="o">.</span><span class="n">apply_ufunc</span><span class="p">(</span><span class="n">squared_error</span><span class="p">,</span> <span class="n">ds</span><span class="o">.</span><span class="n">air</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
 </pre></div>
@@ -2800,7 +2817,7 @@ <h2>How does apply_ufunc work?<a class="headerlink" href="#how-does-apply-ufunc-
 Coordinates:
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dafbfe70-8d9c-4fcb-97d0-797c2a7fbc49' class='xr-array-in' type='checkbox' ><label for='section-dafbfe70-8d9c-4fcb-97d0-797c2a7fbc49' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.77e+04 5.832e+04 5.881e+04 ... 8.731e+04 8.714e+04 8.684e+04</span></div><div class='xr-array-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-42e7cf95-2047-411c-b5b7-181d984406fd' class='xr-array-in' type='checkbox' ><label for='section-42e7cf95-2047-411c-b5b7-181d984406fd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.77e+04 5.832e+04 5.881e+04 ... 8.731e+04 8.714e+04 8.684e+04</span></div><div class='xr-array-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
         [58951.836, 59292.25 , ..., 54896.484, 56786.883],
         ...,
         [86966.01 , 87143.03 , ..., 86966.01 , 86553.63 ],
@@ -2824,26 +2841,26 @@ <h2>How does apply_ufunc work?<a class="headerlink" href="#how-does-apply-ufunc-
         [61946.23 , 61647.92 , ..., 57259.7  , 57931.67 ],
         ...,
         [87078.11 , 87550.88 , ..., 86842.195, 86547.76 ],
-        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9cca835b-e386-448b-ba19-785a763e8d71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9cca835b-e386-448b-ba19-785a763e8d71' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-9d83dd0a-7181-4efe-bd18-1d44923e749c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d83dd0a-7181-4efe-bd18-1d44923e749c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71d88c97-3db0-4b58-8891-9d2f2c500af7' class='xr-var-data-in' type='checkbox'><label for='data-71d88c97-3db0-4b58-8891-9d2f2c500af7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-3541b176-e87d-4e4c-8444-ff6802099fea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3541b176-e87d-4e4c-8444-ff6802099fea' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-8e8dbe5d-6b53-4f6f-88e9-d1569f257340' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e8dbe5d-6b53-4f6f-88e9-d1569f257340' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9b00060-322b-440d-8bf8-c97b610f13bd' class='xr-var-data-in' type='checkbox'><label for='data-a9b00060-322b-440d-8bf8-c97b610f13bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-149b17e4-41ec-4fec-bdc7-e0c2f596d2a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-149b17e4-41ec-4fec-bdc7-e0c2f596d2a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fedc8ff5-b0ba-41b5-aca3-f00b648bcd31' class='xr-var-data-in' type='checkbox'><label for='data-fedc8ff5-b0ba-41b5-aca3-f00b648bcd31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-cc9a2fe9-9c7a-4726-ac7b-18f3c40a9cf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc9a2fe9-9c7a-4726-ac7b-18f3c40a9cf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3abbced1-ee24-47d0-a0c9-f8421867b709' class='xr-var-data-in' type='checkbox'><label for='data-3abbced1-ee24-47d0-a0c9-f8421867b709' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-1ac9a7c3-9a25-47f9-b7a6-d48d4fbbb7e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ac9a7c3-9a25-47f9-b7a6-d48d4fbbb7e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b14655d-496b-4992-a1e7-5016ba4f4193' class='xr-var-data-in' type='checkbox'><label for='data-1b14655d-496b-4992-a1e7-5016ba4f4193' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-5186618b-af34-407b-bad0-7cad93647af3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5186618b-af34-407b-bad0-7cad93647af3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e49fedf1-2d71-47ab-8d28-8232c421ff60' class='xr-var-data-in' type='checkbox'><label for='data-e49fedf1-2d71-47ab-8d28-8232c421ff60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-82d99d08-77d4-4886-ac54-f8943bfc7f46' class='xr-section-summary-in' type='checkbox'  ><label for='section-82d99d08-77d4-4886-ac54-f8943bfc7f46' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4144bc8d-2a54-4a46-a7a2-1b3f5ffb87d2' class='xr-index-data-in' type='checkbox'/><label for='index-4144bc8d-2a54-4a46-a7a2-1b3f5ffb87d2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6769a8ff-5bc8-49ee-86bd-6e54a18f4290' class='xr-section-summary-in' type='checkbox'  ><label for='section-6769a8ff-5bc8-49ee-86bd-6e54a18f4290' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b8a69ed9-553d-41da-94ee-75bd7b34782d' class='xr-index-data-in' type='checkbox'/><label for='index-b8a69ed9-553d-41da-94ee-75bd7b34782d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-86c31e3c-2632-4b08-8b2a-f980b49fddea' class='xr-index-data-in' type='checkbox'/><label for='index-86c31e3c-2632-4b08-8b2a-f980b49fddea' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e7560b1c-4d77-4a99-afba-3e7bacf7b701' class='xr-index-data-in' type='checkbox'/><label for='index-e7560b1c-4d77-4a99-afba-3e7bacf7b701' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c8a50ed1-afd9-426e-b0c3-b436f54a0df6' class='xr-index-data-in' type='checkbox'/><label for='index-c8a50ed1-afd9-426e-b0c3-b436f54a0df6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6598aee6-3b33-483f-bd53-9ff2b1b2c534' class='xr-index-data-in' type='checkbox'/><label for='index-6598aee6-3b33-483f-bd53-9ff2b1b2c534' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2854,7 +2871,7 @@ <h2>How does apply_ufunc work?<a class="headerlink" href="#how-does-apply-ufunc-
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5803f5f-2e2b-4f7c-8e56-1476f491b1fd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b5803f5f-2e2b-4f7c-8e56-1476f491b1fd' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-82b37d43-0673-4ac9-84fc-d20d81d20047' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-82b37d43-0673-4ac9-84fc-d20d81d20047' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>We see that <code class="docutils literal notranslate"><span class="pre">wrapper</span></code> receives the underlying numpy array (<code class="docutils literal notranslate"><span class="pre">ds.air.data</span></code>), and the integer <code class="docutils literal notranslate"><span class="pre">1</span></code>.</p>
 <p>Essentially, <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> does the following:</p>
@@ -2870,7 +2887,7 @@ <h2>How does apply_ufunc work?<a class="headerlink" href="#how-does-apply-ufunc-
 </div>
 </section>
 <section id="handling-attributes">
-<h2>Handling attributes<a class="headerlink" href="#handling-attributes" title="Permalink to this headline">#</a></h2>
+<h2>Handling attributes<a class="headerlink" href="#handling-attributes" title="Permalink to this heading">#</a></h2>
 <p>By default, attributes are omitted since they may now be inaccurate</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2919,7 +2936,7 @@ <h2>Handling attributes<a class="headerlink" href="#handling-attributes" title="
 </div>
 </section>
 <section id="handling-datasets">
-<h2>Handling datasets<a class="headerlink" href="#handling-datasets" title="Permalink to this headline">#</a></h2>
+<h2>Handling datasets<a class="headerlink" href="#handling-datasets" title="Permalink to this heading">#</a></h2>
 <p><code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> easily handles both DataArrays and Datasets.</p>
 <p>When passed a Dataset, <code class="docutils literal notranslate"><span class="pre">apply_ufunc</span></code> will loop over the data variables and sequentially pass those to <code class="docutils literal notranslate"><span class="pre">squared_error</span></code>.</p>
 <p>So <code class="docutils literal notranslate"><span class="pre">squared_error</span></code> always receives a <em>single</em> numpy array.</p>
@@ -3317,17 +3334,17 @@ <h2>Handling datasets<a class="headerlink" href="#handling-datasets" title="Perm
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Data variables:
     air      (time, lat, lon) float32 5.77e+04 5.832e+04 ... 8.714e+04 8.684e+04
-    air2     (time, lat) float32 3.384e+09 3.533e+09 ... 7.686e+09 7.853e+09</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5fd796d8-d855-4d32-928e-9caa8da0b958' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5fd796d8-d855-4d32-928e-9caa8da0b958' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-721482ef-6bda-42eb-a768-f5c0bbfa8c79' class='xr-section-summary-in' type='checkbox'  checked><label for='section-721482ef-6bda-42eb-a768-f5c0bbfa8c79' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-333cc3b4-52a9-4a38-9b56-f5009b06b225' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-333cc3b4-52a9-4a38-9b56-f5009b06b225' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-029db549-f582-457c-b852-64f4f2848505' class='xr-var-data-in' type='checkbox'><label for='data-029db549-f582-457c-b852-64f4f2848505' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    air2     (time, lat) float32 3.384e+09 3.533e+09 ... 7.686e+09 7.853e+09</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9ec2a0bf-611f-4091-9af9-be96854d6603' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9ec2a0bf-611f-4091-9af9-be96854d6603' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6c86bf3b-235d-4da8-a683-a8c8d8254c20' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6c86bf3b-235d-4da8-a683-a8c8d8254c20' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-87b70a87-a6f8-471f-8e1a-b94841791df9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87b70a87-a6f8-471f-8e1a-b94841791df9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad6bc768-a04b-4c20-9144-e07730ac3251' class='xr-var-data-in' type='checkbox'><label for='data-ad6bc768-a04b-4c20-9144-e07730ac3251' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-6af17751-066c-46cb-9fcb-8f1bbd43a182' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6af17751-066c-46cb-9fcb-8f1bbd43a182' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78fc3281-040d-49c2-8e2c-40626245317b' class='xr-var-data-in' type='checkbox'><label for='data-78fc3281-040d-49c2-8e2c-40626245317b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-3c39620b-2d15-4b08-9f2d-5e689c3be316' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c39620b-2d15-4b08-9f2d-5e689c3be316' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6b1361f-1e42-4cdd-b916-3ca1034eb23e' class='xr-var-data-in' type='checkbox'><label for='data-e6b1361f-1e42-4cdd-b916-3ca1034eb23e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-130e2385-c681-4db3-a627-75a9c56e677f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-130e2385-c681-4db3-a627-75a9c56e677f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84e5c90e-cffd-4994-b3f6-d78e845c3e8b' class='xr-var-data-in' type='checkbox'><label for='data-84e5c90e-cffd-4994-b3f6-d78e845c3e8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-8c0c709f-f227-4276-91e7-398fcabf1806' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c0c709f-f227-4276-91e7-398fcabf1806' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19446200-4fbb-47d3-80ba-79ccdae0115a' class='xr-var-data-in' type='checkbox'><label for='data-19446200-4fbb-47d3-80ba-79ccdae0115a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e2e4b8f-d80b-48ab-9580-6fb60c72ece4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6e2e4b8f-d80b-48ab-9580-6fb60c72ece4' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.77e+04 5.832e+04 ... 8.684e+04</div><input id='attrs-54222708-a711-4b83-85a1-7ace7fc8730e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-54222708-a711-4b83-85a1-7ace7fc8730e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a6809ef-bf3c-490f-ae1a-1800c01cf166' class='xr-var-data-in' type='checkbox'><label for='data-3a6809ef-bf3c-490f-ae1a-1800c01cf166' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-381d4c3e-9940-49f8-9d84-ff05954aebfd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-381d4c3e-9940-49f8-9d84-ff05954aebfd' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.77e+04 5.832e+04 ... 8.684e+04</div><input id='attrs-83f47a65-e404-439b-98f5-22bc121a7def' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-83f47a65-e404-439b-98f5-22bc121a7def' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b2f5a0a-95ee-4134-9b8b-68a48481ead3' class='xr-var-data-in' type='checkbox'><label for='data-3b2f5a0a-95ee-4134-9b8b-68a48481ead3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
         [58951.836, 59292.25 , ..., 54896.484, 56786.883],
         ...,
         [86966.01 , 87143.03 , ..., 86966.01 , 86553.63 ],
@@ -3351,21 +3368,21 @@ <h2>Handling datasets<a class="headerlink" href="#handling-datasets" title="Perm
         [61946.23 , 61647.92 , ..., 57259.7  , 57931.67 ],
         ...,
         [87078.11 , 87550.88 , ..., 86842.195, 86547.76 ],
-        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.384e+09 3.533e+09 ... 7.853e+09</div><input id='attrs-42d5a18c-09d1-42eb-a6fe-74787fb471bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42d5a18c-09d1-42eb-a6fe-74787fb471bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ecb35b5-7ee8-4152-8f35-663ebef5e9b6' class='xr-var-data-in' type='checkbox'><label for='data-8ecb35b5-7ee8-4152-8f35-663ebef5e9b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3.3844979e+09, 3.5328084e+09, ..., 7.6660188e+09, 7.7065160e+09],
+        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.384e+09 3.533e+09 ... 7.853e+09</div><input id='attrs-9f630e48-cc30-437e-bbec-d17354130f36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f630e48-cc30-437e-bbec-d17354130f36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b29158e-be3c-46ce-b6d4-17960e30dbf1' class='xr-var-data-in' type='checkbox'><label for='data-5b29158e-be3c-46ce-b6d4-17960e30dbf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3.3844979e+09, 3.5328084e+09, ..., 7.6660188e+09, 7.7065160e+09],
        [3.4352970e+09, 3.5212306e+09, ..., 7.6971546e+09, 7.7065160e+09],
        ...,
        [3.6495762e+09, 3.8992545e+09, ..., 7.7065160e+09, 7.8637681e+09],
        [3.6081774e+09, 3.8992545e+09, ..., 7.6857288e+09, 7.8532096e+09]],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d35ac6a-d3ee-48ef-9e55-16f2114b7cbb' class='xr-section-summary-in' type='checkbox'  ><label for='section-6d35ac6a-d3ee-48ef-9e55-16f2114b7cbb' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7c589237-f565-4919-95f7-26823be043e0' class='xr-index-data-in' type='checkbox'/><label for='index-7c589237-f565-4919-95f7-26823be043e0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-460dcf0b-0695-499a-a08d-19dd6eea6078' class='xr-section-summary-in' type='checkbox'  ><label for='section-460dcf0b-0695-499a-a08d-19dd6eea6078' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fe3b3bdb-815e-4652-989f-dbec2267595e' class='xr-index-data-in' type='checkbox'/><label for='index-fe3b3bdb-815e-4652-989f-dbec2267595e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4740b9dc-a44d-4d6f-93fb-ea5d66017e7b' class='xr-index-data-in' type='checkbox'/><label for='index-4740b9dc-a44d-4d6f-93fb-ea5d66017e7b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-11660a0b-02cd-40e6-b9af-4818e020d236' class='xr-index-data-in' type='checkbox'/><label for='index-11660a0b-02cd-40e6-b9af-4818e020d236' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ff0cce12-bfa5-4d5c-8e95-e67a207cd67f' class='xr-index-data-in' type='checkbox'/><label for='index-ff0cce12-bfa5-4d5c-8e95-e67a207cd67f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-500bd449-453d-46fe-aaaa-7cf79c4bf627' class='xr-index-data-in' type='checkbox'/><label for='index-500bd449-453d-46fe-aaaa-7cf79c4bf627' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3376,7 +3393,7 @@ <h2>Handling datasets<a class="headerlink" href="#handling-datasets" title="Perm
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f16a3d36-d141-4271-a437-a7af051735bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f16a3d36-d141-4271-a437-a7af051735bf' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-82aac60c-e837-46ba-b79f-42b88d027413' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-82aac60c-e837-46ba-b79f-42b88d027413' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3756,17 +3773,17 @@ <h2>Handling datasets<a class="headerlink" href="#handling-datasets" title="Perm
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Data variables:
     air      (time, lat, lon) float32 5.77e+04 5.832e+04 ... 8.714e+04 8.684e+04
-    air2     (time, lat) float32 3.384e+09 3.533e+09 ... 7.686e+09 7.853e+09</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5072c8b4-bcc7-4346-b2f0-fa5fe8f4585c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5072c8b4-bcc7-4346-b2f0-fa5fe8f4585c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e8e80091-72e8-4cfc-973d-f0fdae2a3240' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e8e80091-72e8-4cfc-973d-f0fdae2a3240' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-842a04e2-85a6-437b-83d1-a55597339019' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-842a04e2-85a6-437b-83d1-a55597339019' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f90d651-9ff9-4701-91b2-1507f068bef4' class='xr-var-data-in' type='checkbox'><label for='data-6f90d651-9ff9-4701-91b2-1507f068bef4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    air2     (time, lat) float32 3.384e+09 3.533e+09 ... 7.686e+09 7.853e+09</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7582c8da-e02a-4ce5-9415-5e7487893a30' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7582c8da-e02a-4ce5-9415-5e7487893a30' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-04e59b1c-eeb7-4312-8b69-4d8cb2ea81eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-04e59b1c-eeb7-4312-8b69-4d8cb2ea81eb' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-fe6dc5e4-d417-4a4f-989a-2492d0b85c93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe6dc5e4-d417-4a4f-989a-2492d0b85c93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-804a22d7-1f7b-4c28-b08a-954666e3c84b' class='xr-var-data-in' type='checkbox'><label for='data-804a22d7-1f7b-4c28-b08a-954666e3c84b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-b2986a01-5f58-4b94-8404-9f451e9db5ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2986a01-5f58-4b94-8404-9f451e9db5ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37914d92-f3a4-4205-99f0-7b275326ceed' class='xr-var-data-in' type='checkbox'><label for='data-37914d92-f3a4-4205-99f0-7b275326ceed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ae8eadf9-60d8-4733-95bf-ab6f38ac6169' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae8eadf9-60d8-4733-95bf-ab6f38ac6169' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31f73f21-8f74-4338-b7e2-c02d4c2344ce' class='xr-var-data-in' type='checkbox'><label for='data-31f73f21-8f74-4338-b7e2-c02d4c2344ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-beab0e1a-df56-4507-90de-6145ae097022' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-beab0e1a-df56-4507-90de-6145ae097022' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fa107fb-c1af-4ef6-a5e8-416790eccb19' class='xr-var-data-in' type='checkbox'><label for='data-1fa107fb-c1af-4ef6-a5e8-416790eccb19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-f94033f2-c157-4145-8529-3ab712b4f098' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f94033f2-c157-4145-8529-3ab712b4f098' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cf41ec6-6397-4b0e-b0cd-162df2f7f2db' class='xr-var-data-in' type='checkbox'><label for='data-6cf41ec6-6397-4b0e-b0cd-162df2f7f2db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-050080a3-721b-48a8-ac8a-21e81ce77018' class='xr-section-summary-in' type='checkbox'  checked><label for='section-050080a3-721b-48a8-ac8a-21e81ce77018' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.77e+04 5.832e+04 ... 8.684e+04</div><input id='attrs-5dce78c8-406a-4299-9af5-ead87ea294e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5dce78c8-406a-4299-9af5-ead87ea294e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73fef545-b9c2-42c8-948b-c1d2b70122d5' class='xr-var-data-in' type='checkbox'><label for='data-73fef545-b9c2-42c8-948b-c1d2b70122d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e9fb263-6cd0-4bc4-bd56-585db80b500e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3e9fb263-6cd0-4bc4-bd56-585db80b500e' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.77e+04 5.832e+04 ... 8.684e+04</div><input id='attrs-8fb2fe73-e208-4084-b1dd-f9ca4f4d86fc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8fb2fe73-e208-4084-b1dd-f9ca4f4d86fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58b7ed10-627a-4dd3-9829-8b9a2c15a1e3' class='xr-var-data-in' type='checkbox'><label for='data-58b7ed10-627a-4dd3-9829-8b9a2c15a1e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
         [58951.836, 59292.25 , ..., 54896.484, 56786.883],
         ...,
         [86966.01 , 87143.03 , ..., 86966.01 , 86553.63 ],
@@ -3790,21 +3807,21 @@ <h2>Handling datasets<a class="headerlink" href="#handling-datasets" title="Perm
         [61946.23 , 61647.92 , ..., 57259.7  , 57931.67 ],
         ...,
         [87078.11 , 87550.88 , ..., 86842.195, 86547.76 ],
-        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.384e+09 3.533e+09 ... 7.853e+09</div><input id='attrs-7d3b7ac8-92bf-45f9-b2a7-c06464b8e5d1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7d3b7ac8-92bf-45f9-b2a7-c06464b8e5d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b20a6336-b920-4611-bda5-082508a32c0b' class='xr-var-data-in' type='checkbox'><label for='data-b20a6336-b920-4611-bda5-082508a32c0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3.3844979e+09, 3.5328084e+09, ..., 7.6660188e+09, 7.7065160e+09],
+        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>3.384e+09 3.533e+09 ... 7.853e+09</div><input id='attrs-46a3f46d-8c6b-4a31-9a94-c0b5ea91aac1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-46a3f46d-8c6b-4a31-9a94-c0b5ea91aac1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b3fe7b6-e411-429b-a1c3-420a125366d0' class='xr-var-data-in' type='checkbox'><label for='data-1b3fe7b6-e411-429b-a1c3-420a125366d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3.3844979e+09, 3.5328084e+09, ..., 7.6660188e+09, 7.7065160e+09],
        [3.4352970e+09, 3.5212306e+09, ..., 7.6971546e+09, 7.7065160e+09],
        ...,
        [3.6495762e+09, 3.8992545e+09, ..., 7.7065160e+09, 7.8637681e+09],
        [3.6081774e+09, 3.8992545e+09, ..., 7.6857288e+09, 7.8532096e+09]],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3d44a2b-b723-4330-a542-73484f83edee' class='xr-section-summary-in' type='checkbox'  ><label for='section-e3d44a2b-b723-4330-a542-73484f83edee' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-65152ea5-02e1-49f7-bfec-c141d6554d75' class='xr-index-data-in' type='checkbox'/><label for='index-65152ea5-02e1-49f7-bfec-c141d6554d75' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b535043-2121-425c-aef2-c4933e2dc47f' class='xr-section-summary-in' type='checkbox'  ><label for='section-6b535043-2121-425c-aef2-c4933e2dc47f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d4200e82-f36f-490a-926f-b1222cc52058' class='xr-index-data-in' type='checkbox'/><label for='index-d4200e82-f36f-490a-926f-b1222cc52058' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-82c8e474-5ed2-4a58-bdd9-2e059f4facd5' class='xr-index-data-in' type='checkbox'/><label for='index-82c8e474-5ed2-4a58-bdd9-2e059f4facd5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d1e4e107-34a4-4107-9b60-20b991f185eb' class='xr-index-data-in' type='checkbox'/><label for='index-d1e4e107-34a4-4107-9b60-20b991f185eb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-986b7d3e-0df3-48f7-8142-0f3dbe08c112' class='xr-index-data-in' type='checkbox'/><label for='index-986b7d3e-0df3-48f7-8142-0f3dbe08c112' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ffb0a3c7-8ae8-49c1-a38a-6f1d9818af18' class='xr-index-data-in' type='checkbox'/><label for='index-ffb0a3c7-8ae8-49c1-a38a-6f1d9818af18' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3815,11 +3832,11 @@ <h2>Handling datasets<a class="headerlink" href="#handling-datasets" title="Perm
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5d54bdaf-d6a9-46bc-9bfd-d2ce4d18c208' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5d54bdaf-d6a9-46bc-9bfd-d2ce4d18c208' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dffe1a9c-8d19-472a-b170-7ff63970e108' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dffe1a9c-8d19-472a-b170-7ff63970e108' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="passing-positional-and-keyword-arguments">
-<h2>Passing positional and keyword arguments<a class="headerlink" href="#passing-positional-and-keyword-arguments" title="Permalink to this headline">#</a></h2>
+<h2>Passing positional and keyword arguments<a class="headerlink" href="#passing-positional-and-keyword-arguments" title="Permalink to this heading">#</a></h2>
 <div class="admonition seealso">
 <p class="admonition-title">See also</p>
 <p>See the Python tutorial on <a class="reference external" href="https://docs.python.org/3/tutorial/controlflow.html#defining-functions">defining functions</a> for more on positional and keyword arguments.</p>
@@ -4205,7 +4222,7 @@ <h2>Passing positional and keyword arguments<a class="headerlink" href="#passing
 Coordinates:
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e00cb0da-f195-4c7c-a176-84ca4ad1e463' class='xr-array-in' type='checkbox' ><label for='section-e00cb0da-f195-4c7c-a176-84ca4ad1e463' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.77e+04 5.832e+04 5.881e+04 ... 8.731e+04 8.714e+04 8.684e+04</span></div><div class='xr-array-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-878bc5b8-37b0-4e8d-88a7-73265e362dc5' class='xr-array-in' type='checkbox' ><label for='section-878bc5b8-37b0-4e8d-88a7-73265e362dc5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.77e+04 5.832e+04 5.881e+04 ... 8.731e+04 8.714e+04 8.684e+04</span></div><div class='xr-array-data'><pre>array([[[57696.04 , 58322.25 , ..., 54990.25 , 56453.754],
         [58951.836, 59292.25 , ..., 54896.484, 56786.883],
         ...,
         [86966.01 , 87143.03 , ..., 86966.01 , 86553.63 ],
@@ -4229,26 +4246,26 @@ <h2>Passing positional and keyword arguments<a class="headerlink" href="#passing
         [61946.23 , 61647.92 , ..., 57259.7  , 57931.67 ],
         ...,
         [87078.11 , 87550.88 , ..., 86842.195, 86547.76 ],
-        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b64bf07c-5e4e-41e4-ad9d-95a0f48e0d96' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b64bf07c-5e4e-41e4-ad9d-95a0f48e0d96' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-c8fb7677-6b13-4d25-abcb-7959d9e8cd03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8fb7677-6b13-4d25-abcb-7959d9e8cd03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b66f5346-5bab-4f0a-b12a-5e39cf515625' class='xr-var-data-in' type='checkbox'><label for='data-b66f5346-5bab-4f0a-b12a-5e39cf515625' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        [88024.96 , 88262.47 , ..., 87137.14 , 86842.195]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-361da10c-b2b6-41ad-bbe4-8c9e88564e95' class='xr-section-summary-in' type='checkbox'  checked><label for='section-361da10c-b2b6-41ad-bbe4-8c9e88564e95' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-050e9677-0ea1-49bf-a9d7-98825cae87a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-050e9677-0ea1-49bf-a9d7-98825cae87a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b557b56-5f26-4b57-87ea-d3f5a7962deb' class='xr-var-data-in' type='checkbox'><label for='data-5b557b56-5f26-4b57-87ea-d3f5a7962deb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-f2151eb7-014c-4e1b-993d-6030297be149' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2151eb7-014c-4e1b-993d-6030297be149' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f26abc12-4ea7-4aba-97a7-518ad8100f37' class='xr-var-data-in' type='checkbox'><label for='data-f26abc12-4ea7-4aba-97a7-518ad8100f37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-a291e468-f862-43ac-a594-6b4c27c0b7ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a291e468-f862-43ac-a594-6b4c27c0b7ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f9dbf26-a575-4166-b263-7c83f235184b' class='xr-var-data-in' type='checkbox'><label for='data-6f9dbf26-a575-4166-b263-7c83f235184b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-a9704a3c-541a-4289-90ef-4771ef51a0e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9704a3c-541a-4289-90ef-4771ef51a0e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad188b02-fd03-4d1c-b4e0-2ed000840ecd' class='xr-var-data-in' type='checkbox'><label for='data-ad188b02-fd03-4d1c-b4e0-2ed000840ecd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-98a6fc8c-d419-4c1b-954a-f462ea1d87e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98a6fc8c-d419-4c1b-954a-f462ea1d87e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9ddaf95-cb44-451b-a289-b88066dd4229' class='xr-var-data-in' type='checkbox'><label for='data-e9ddaf95-cb44-451b-a289-b88066dd4229' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-38c54958-1d15-4963-a3cd-2ffc1c4fb7bd' class='xr-section-summary-in' type='checkbox'  ><label for='section-38c54958-1d15-4963-a3cd-2ffc1c4fb7bd' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-04dce9af-9053-4a23-9ebb-3bc99e63eb09' class='xr-index-data-in' type='checkbox'/><label for='index-04dce9af-9053-4a23-9ebb-3bc99e63eb09' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0f48dc92-3824-40bd-8fba-6254dde05152' class='xr-section-summary-in' type='checkbox'  ><label for='section-0f48dc92-3824-40bd-8fba-6254dde05152' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b606a8c6-3ead-4481-b4e4-dde383bc520f' class='xr-index-data-in' type='checkbox'/><label for='index-b606a8c6-3ead-4481-b4e4-dde383bc520f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-82fd49ba-79ac-476e-9763-438e0f228793' class='xr-index-data-in' type='checkbox'/><label for='index-82fd49ba-79ac-476e-9763-438e0f228793' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f3c2dbf9-bbb6-4299-a565-66eb37a2efe0' class='xr-index-data-in' type='checkbox'/><label for='index-f3c2dbf9-bbb6-4299-a565-66eb37a2efe0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a0f3355d-e4af-491f-b4be-76f0f2e91709' class='xr-index-data-in' type='checkbox'/><label for='index-a0f3355d-e4af-491f-b4be-76f0f2e91709' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c56bb004-f791-4b09-a7a5-2107cbd2929c' class='xr-index-data-in' type='checkbox'/><label for='index-c56bb004-f791-4b09-a7a5-2107cbd2929c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -4259,7 +4276,7 @@ <h2>Passing positional and keyword arguments<a class="headerlink" href="#passing
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5abdfc56-5f7a-4388-992a-021a4d8d44dc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5abdfc56-5f7a-4388-992a-021a4d8d44dc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-22dae364-5d88-44e9-9ef3-e214e21ba15b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-22dae364-5d88-44e9-9ef3-e214e21ba15b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 </section>
@@ -4289,11 +4306,10 @@ <h2>Passing positional and keyword arguments<a class="headerlink" href="#passing
 
               
               
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@@ -4359,6 +4373,7 @@ <h2>Passing positional and keyword arguments<a class="headerlink" href="#passing
   
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@@ -4385,8 +4400,8 @@ <h2>Passing positional and keyword arguments<a class="headerlink" href="#passing
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index 7d704b5b..545dff47 100644
--- a/advanced/backends/1.Backend_without_Lazy_Loading.html
+++ b/advanced/backends/1.Backend_without_Lazy_Loading.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
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   <!-- Loaded before other Sphinx assets -->
-  <link href="../../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
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+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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@@ -40,12 +40,14 @@
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   <!-- Pre-loaded scripts that we'll load fully later -->
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-<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script data-url_root="../../" id="documentation_options" src="../../_static/documentation_options.js"></script>
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+    <script src="../../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../../_static/doctools.js"></script>
     <script src="../../_static/clipboard.min.js"></script>
     <script src="../../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
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           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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+
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     <div class="bd-container__inner bd-page-width">
       
+      
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@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../../intro.html">
@@ -144,13 +158,14 @@
   
   
   
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-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
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+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -519,13 +536,13 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="binary-data-without-lazy-loading">
-<h1>Binary data without lazy loading<a class="headerlink" href="#binary-data-without-lazy-loading" title="Permalink to this headline">#</a></h1>
+<h1>Binary data without lazy loading<a class="headerlink" href="#binary-data-without-lazy-loading" title="Permalink to this heading">#</a></h1>
 <p><strong>Author</strong>: Aureliana Barghini (<a class="reference external" href="https://www.bopen.eu/">B-Open</a>)</p>
 <section id="backendentrypoint">
-<h2>BackendEntrypoint<a class="headerlink" href="#backendentrypoint" title="Permalink to this headline">#</a></h2>
+<h2>BackendEntrypoint<a class="headerlink" href="#backendentrypoint" title="Permalink to this heading">#</a></h2>
 <p>Implement a subclass of <code class="docutils literal notranslate"><span class="pre">BackendEntrypoint</span></code> that expose a method <code class="docutils literal notranslate"><span class="pre">open_dataset</span></code>:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">xarray.backends</span> <span class="kn">import</span> <span class="n">BackendEntrypoint</span>
 
@@ -543,7 +560,7 @@ <h2>BackendEntrypoint<a class="headerlink" href="#backendentrypoint" title="Perm
 </div>
 </section>
 <section id="backendentrypoint-integration">
-<h2>BackendEntrypoint integration<a class="headerlink" href="#backendentrypoint-integration" title="Permalink to this headline">#</a></h2>
+<h2>BackendEntrypoint integration<a class="headerlink" href="#backendentrypoint-integration" title="Permalink to this heading">#</a></h2>
 <p>Declare this class as an external plugin in your <code class="docutils literal notranslate"><span class="pre">setup.py</span></code>:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">setuptools</span><span class="o">.</span><span class="n">setup</span><span class="p">(</span>
     <span class="o">...</span>
@@ -559,7 +576,7 @@ <h2>BackendEntrypoint integration<a class="headerlink" href="#backendentrypoint-
 </div>
 </section>
 <section id="example-backend-for-binary-files">
-<h2>Example backend for binary files<a class="headerlink" href="#example-backend-for-binary-files" title="Permalink to this headline">#</a></h2>
+<h2>Example backend for binary files<a class="headerlink" href="#example-backend-for-binary-files" title="Permalink to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
@@ -569,7 +586,7 @@ <h2>Example backend for binary files<a class="headerlink" href="#example-backend
 </div>
 </div>
 <section id="create-sample-files">
-<h3>Create sample files<a class="headerlink" href="#create-sample-files" title="Permalink to this headline">#</a></h3>
+<h3>Create sample files<a class="headerlink" href="#create-sample-files" title="Permalink to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">arr</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">30000000</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">)</span>
@@ -585,7 +602,7 @@ <h3>Create sample files<a class="headerlink" href="#create-sample-files" title="
 </div>
 </section>
 <section id="define-the-entrypoint">
-<h3>Define the entrypoint<a class="headerlink" href="#define-the-entrypoint" title="Permalink to this headline">#</a></h3>
+<h3>Define the entrypoint<a class="headerlink" href="#define-the-entrypoint" title="Permalink to this heading">#</a></h3>
 <p>Example of backend to open binary files</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -610,7 +627,7 @@ <h3>Define the entrypoint<a class="headerlink" href="#define-the-entrypoint" tit
 </div>
 </section>
 <section id="it-works">
-<h3>It Works!<a class="headerlink" href="#it-works" title="Permalink to this headline">#</a></h3>
+<h3>It Works!<a class="headerlink" href="#it-works" title="Permalink to this heading">#</a></h3>
 <p>But it may be memory demanding</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -986,12 +1003,12 @@ <h3>It Works!<a class="headerlink" href="#it-works" title="Permalink to this hea
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;foo&#x27; (x: 30000000)&gt;
 [30000000 values with dtype=int64]
 Coordinates:
-  * x        (x) int64 0 10 20 30 40 ... 299999960 299999970 299999980 299999990</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 30000000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d33a5252-c52d-4f95-8bbc-00662e00f008' class='xr-array-in' type='checkbox' checked><label for='section-d33a5252-c52d-4f95-8bbc-00662e00f008' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[30000000 values with dtype=int64]</pre></div></div></li><li class='xr-section-item'><input id='section-bd420f0a-510a-4a46-82f6-c5e19cefe86b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bd420f0a-510a-4a46-82f6-c5e19cefe86b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 10 20 ... 299999980 299999990</div><input id='attrs-e80cd77a-05b5-4ad1-8ccb-70578d715398' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e80cd77a-05b5-4ad1-8ccb-70578d715398' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a22c785-6089-41b5-80ba-8d654a980114' class='xr-var-data-in' type='checkbox'><label for='data-4a22c785-6089-41b5-80ba-8d654a980114' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([        0,        10,        20, ..., 299999970, 299999980, 299999990])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c451547e-5de7-4ec9-83d1-b4024e468d80' class='xr-section-summary-in' type='checkbox'  ><label for='section-c451547e-5de7-4ec9-83d1-b4024e468d80' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d32a8569-993c-4e23-8aff-9b1c6f568095' class='xr-index-data-in' type='checkbox'/><label for='index-d32a8569-993c-4e23-8aff-9b1c6f568095' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([        0,        10,        20,        30,        40,        50,
+  * x        (x) int64 0 10 20 30 40 ... 299999960 299999970 299999980 299999990</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 30000000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bb2b20b5-a335-44c0-98cc-90237b20959b' class='xr-array-in' type='checkbox' checked><label for='section-bb2b20b5-a335-44c0-98cc-90237b20959b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[30000000 values with dtype=int64]</pre></div></div></li><li class='xr-section-item'><input id='section-0adb4e2f-7582-4346-9c86-77c6ada0a409' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0adb4e2f-7582-4346-9c86-77c6ada0a409' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 10 20 ... 299999980 299999990</div><input id='attrs-202ab4c8-ff96-4764-a8a5-55d9c60d5840' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-202ab4c8-ff96-4764-a8a5-55d9c60d5840' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43541e5c-3858-42ad-ba78-31d542fc22ac' class='xr-var-data-in' type='checkbox'><label for='data-43541e5c-3858-42ad-ba78-31d542fc22ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([        0,        10,        20, ..., 299999970, 299999980, 299999990])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d94d16ad-5fad-48a1-be2f-09a7ded63123' class='xr-section-summary-in' type='checkbox'  ><label for='section-d94d16ad-5fad-48a1-be2f-09a7ded63123' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6cbf1e4a-5d4c-48d6-8c0f-fe14877c022d' class='xr-index-data-in' type='checkbox'/><label for='index-6cbf1e4a-5d4c-48d6-8c0f-fe14877c022d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([        0,        10,        20,        30,        40,        50,
               60,        70,        80,        90,
        ...
        299999900, 299999910, 299999920, 299999930, 299999940, 299999950,
        299999960, 299999970, 299999980, 299999990],
-      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=30000000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-82c610d3-27f1-4189-9b31-2f6bc429ffe1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-82c610d3-27f1-4189-9b31-2f6bc429ffe1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=30000000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2380ef03-356d-40ff-8a71-c9f80690f647' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2380ef03-356d-40ff-8a71-c9f80690f647' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
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@@ -1367,12 +1384,12 @@ <h3>It Works!<a class="headerlink" href="#it-works" title="Permalink to this hea
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;foo&#x27; (x: 30000000)&gt;
 [30000000 values with dtype=float64]
 Coordinates:
-  * x        (x) int64 0 10 20 30 40 ... 299999960 299999970 299999980 299999990</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 30000000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9f51e7c7-577f-46a8-bbe2-e9dbc24a26a8' class='xr-array-in' type='checkbox' checked><label for='section-9f51e7c7-577f-46a8-bbe2-e9dbc24a26a8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[30000000 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-a5e709e8-30f8-4f0b-976f-e9a8a06659ba' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5e709e8-30f8-4f0b-976f-e9a8a06659ba' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 10 20 ... 299999980 299999990</div><input id='attrs-49927c67-550b-496b-9a3e-91b50d0cdb6a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49927c67-550b-496b-9a3e-91b50d0cdb6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34e27276-4f50-457a-9271-a64280903bda' class='xr-var-data-in' type='checkbox'><label for='data-34e27276-4f50-457a-9271-a64280903bda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([        0,        10,        20, ..., 299999970, 299999980, 299999990])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59a439a9-53fb-40ac-a047-e96534be829b' class='xr-section-summary-in' type='checkbox'  ><label for='section-59a439a9-53fb-40ac-a047-e96534be829b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-18e488d6-46e3-4324-8f22-990b3e69be50' class='xr-index-data-in' type='checkbox'/><label for='index-18e488d6-46e3-4324-8f22-990b3e69be50' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([        0,        10,        20,        30,        40,        50,
+  * x        (x) int64 0 10 20 30 40 ... 299999960 299999970 299999980 299999990</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 30000000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8a759b65-ca59-4030-8f5e-f72842a5ecd7' class='xr-array-in' type='checkbox' checked><label for='section-8a759b65-ca59-4030-8f5e-f72842a5ecd7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[30000000 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-a055a0c0-fbd1-4133-a104-c8f0a91d46f8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a055a0c0-fbd1-4133-a104-c8f0a91d46f8' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 10 20 ... 299999980 299999990</div><input id='attrs-5f4f0423-f264-494d-ab2a-bfe9fe63f93f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f4f0423-f264-494d-ab2a-bfe9fe63f93f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0803ef8d-d7cd-43ce-8911-3edc528896d1' class='xr-var-data-in' type='checkbox'><label for='data-0803ef8d-d7cd-43ce-8911-3edc528896d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([        0,        10,        20, ..., 299999970, 299999980, 299999990])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7a76662e-b823-41e6-a218-c24a6303103e' class='xr-section-summary-in' type='checkbox'  ><label for='section-7a76662e-b823-41e6-a218-c24a6303103e' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5864c38e-3e01-4574-9f53-970ad8d40e8f' class='xr-index-data-in' type='checkbox'/><label for='index-5864c38e-3e01-4574-9f53-970ad8d40e8f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([        0,        10,        20,        30,        40,        50,
               60,        70,        80,        90,
        ...
        299999900, 299999910, 299999920, 299999930, 299999940, 299999950,
        299999960, 299999970, 299999980, 299999990],
-      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=30000000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-04c0ce96-29ea-4e47-bb58-04d40e0e8ea3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-04c0ce96-29ea-4e47-bb58-04d40e0e8ea3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;, length=30000000))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc6319ef-6316-4dca-acda-a60310998cb4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bc6319ef-6316-4dca-acda-a60310998cb4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
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@@ -1747,7 +1764,7 @@ <h3>It Works!<a class="headerlink" href="#it-works" title="Permalink to this hea
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;foo&#x27; (x: 11)&gt;
 [11 values with dtype=float64]
 Coordinates:
-  * x        (x) int64 0 10 20 30 40 50 60 70 80 90 100</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 11</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6b0522b2-5978-4e64-ad67-18667a318cf1' class='xr-array-in' type='checkbox' checked><label for='section-6b0522b2-5978-4e64-ad67-18667a318cf1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[11 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-943102be-7723-4df0-b40a-88c573ed1297' class='xr-section-summary-in' type='checkbox'  checked><label for='section-943102be-7723-4df0-b40a-88c573ed1297' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 10 20 30 40 50 60 70 80 90 100</div><input id='attrs-f358e9a0-b333-43d8-9409-8d5d7e8824c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f358e9a0-b333-43d8-9409-8d5d7e8824c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72596887-b1e1-45d9-a1c5-6978a161be2a' class='xr-var-data-in' type='checkbox'><label for='data-72596887-b1e1-45d9-a1c5-6978a161be2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,  10,  20,  30,  40,  50,  60,  70,  80,  90, 100])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc46ff3b-82c7-4a94-a36f-71ec333b64b5' class='xr-section-summary-in' type='checkbox'  ><label for='section-bc46ff3b-82c7-4a94-a36f-71ec333b64b5' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d9b40a10-065d-4102-9775-b78b13f58e6c' class='xr-index-data-in' type='checkbox'/><label for='index-d9b40a10-065d-4102-9775-b78b13f58e6c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-066e2c83-f0e2-4530-8dd1-43ece6512eee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-066e2c83-f0e2-4530-8dd1-43ece6512eee' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+  * x        (x) int64 0 10 20 30 40 50 60 70 80 90 100</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 11</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a4d7996c-3e74-4783-ac34-9f5785dfc446' class='xr-array-in' type='checkbox' checked><label for='section-a4d7996c-3e74-4783-ac34-9f5785dfc446' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[11 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-b5092ee9-1e74-4d1e-ae2b-114e6302d6de' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5092ee9-1e74-4d1e-ae2b-114e6302d6de' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 10 20 30 40 50 60 70 80 90 100</div><input id='attrs-5cc26756-7219-4368-81ee-03e16301f304' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5cc26756-7219-4368-81ee-03e16301f304' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8fe8541-a11e-4417-b964-c23a9e4bc3a1' class='xr-var-data-in' type='checkbox'><label for='data-c8fe8541-a11e-4417-b964-c23a9e4bc3a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,  10,  20,  30,  40,  50,  60,  70,  80,  90, 100])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0da66f30-ee75-4165-a77c-dad765122381' class='xr-section-summary-in' type='checkbox'  ><label for='section-0da66f30-ee75-4165-a77c-dad765122381' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c4031358-1aae-4fb3-9c4a-bdf0b2778ff1' class='xr-index-data-in' type='checkbox'/><label for='index-c4031358-1aae-4fb3-9c4a-bdf0b2778ff1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53387b63-153c-40d4-8cde-5812427faf71' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-53387b63-153c-40d4-8cde-5812427faf71' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 </section>
@@ -1778,11 +1795,10 @@ <h3>It Works!<a class="headerlink" href="#it-works" title="Permalink to this hea
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
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@@ -1802,10 +1818,7 @@ <h3>It Works!<a class="headerlink" href="#it-works" title="Permalink to this hea
       </div>
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@@ -1814,6 +1827,7 @@ <h3>It Works!<a class="headerlink" href="#it-works" title="Permalink to this hea
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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   <div class="page-toc tocsection onthispage">
     <i class="fa-solid fa-list"></i> Contents
@@ -1849,6 +1863,7 @@ <h3>It Works!<a class="headerlink" href="#it-works" title="Permalink to this hea
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2023.
@@ -1875,8 +1890,8 @@ <h3>It Works!<a class="headerlink" href="#it-works" title="Permalink to this hea
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/advanced/backends/2.Backend_with_Lazy_Loading.html b/advanced/backends/2.Backend_with_Lazy_Loading.html
index 03bdf2da..e0ace686 100644
--- a/advanced/backends/2.Backend_with_Lazy_Loading.html
+++ b/advanced/backends/2.Backend_with_Lazy_Loading.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../../_static/styles/bootstrap.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../_static/vendor/fontawesome/6.1.2/css/all.min.css?digest=e353d410970836974a52" rel="stylesheet" />
-  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
     <link rel="stylesheet" type="text/css" href="../../_static/pygments.css" />
     <link rel="stylesheet" href="../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
@@ -40,12 +40,14 @@
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=e353d410970836974a52" />
-<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script data-url_root="../../" id="documentation_options" src="../../_static/documentation_options.js"></script>
     <script src="../../_static/jquery.js"></script>
     <script src="../../_static/underscore.js"></script>
+    <script src="../../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../../_static/doctools.js"></script>
     <script src="../../_static/clipboard.min.js"></script>
     <script src="../../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
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@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
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-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
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-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -515,10 +532,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="binary-data-with-lazy-loading">
-<h1>Binary data with lazy loading<a class="headerlink" href="#binary-data-with-lazy-loading" title="Permalink to this headline">#</a></h1>
+<h1>Binary data with lazy loading<a class="headerlink" href="#binary-data-with-lazy-loading" title="Permalink to this heading">#</a></h1>
 <p><strong>Author</strong>: Aureliana Barghini (<a class="reference external" href="https://www.bopen.eu/">B-Open</a>)</p>
 <p>If you want to make your backend effective with big datasets, then you should
 support lazy loading. <br/>
@@ -533,7 +550,7 @@ <h1>Binary data with lazy loading<a class="headerlink" href="#binary-data-with-l
 </li>
 </ul>
 <br/><section id="create-sample-files">
-<h2>Create sample files<a class="headerlink" href="#create-sample-files" title="Permalink to this headline">#</a></h2>
+<h2>Create sample files<a class="headerlink" href="#create-sample-files" title="Permalink to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
@@ -560,7 +577,7 @@ <h2>Create sample files<a class="headerlink" href="#create-sample-files" title="
 </div>
 </section>
 <section id="binarybackendarray">
-<h2>BinaryBackendArray<a class="headerlink" href="#binarybackendarray" title="Permalink to this headline">#</a></h2>
+<h2>BinaryBackendArray<a class="headerlink" href="#binarybackendarray" title="Permalink to this heading">#</a></h2>
 <p>The BackendArray subclass shall implement the following method and attributes:</p>
 <ul class="simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">_raw_indexing_method</span></code> method, supporting <strong>item selection</strong> and <strong>slicing</strong></p></li>
@@ -617,7 +634,7 @@ <h2>BinaryBackendArray<a class="headerlink" href="#binarybackendarray" title="Pe
 </div>
 </section>
 <section id="binarybackend-entrypoint">
-<h2>BinaryBackend Entrypoint<a class="headerlink" href="#binarybackend-entrypoint" title="Permalink to this headline">#</a></h2>
+<h2>BinaryBackend Entrypoint<a class="headerlink" href="#binarybackend-entrypoint" title="Permalink to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="k">class</span> <span class="nc">BinaryBackend</span><span class="p">(</span><span class="n">xr</span><span class="o">.</span><span class="n">backends</span><span class="o">.</span><span class="n">BackendEntrypoint</span><span class="p">):</span>
@@ -641,7 +658,7 @@ <h2>BinaryBackend Entrypoint<a class="headerlink" href="#binarybackend-entrypoin
 </div>
 </section>
 <section id="reduced-memory-usage-with-dask">
-<h2>Reduced memory usage with dask<a class="headerlink" href="#reduced-memory-usage-with-dask" title="Permalink to this headline">#</a></h2>
+<h2>Reduced memory usage with dask<a class="headerlink" href="#reduced-memory-usage-with-dask" title="Permalink to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">arr</span> <span class="o">=</span> <span class="n">xr</span><span class="o">.</span><span class="n">open_dataarray</span><span class="p">(</span><span class="s2">&quot;foo.bin&quot;</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="n">BinaryBackend</span><span class="p">,</span> <span class="n">chunks</span><span class="o">=</span><span class="mi">10000</span><span class="p">)</span>
@@ -1015,7 +1032,7 @@ <h2>Reduced memory usage with dask<a class="headerlink" href="#reduced-memory-us
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;foo&#x27; (x: 30000000)&gt;
 dask.array&lt;open_dataset-foo, shape=(30000000,), dtype=int64, chunksize=(10000,), chunktype=numpy.ndarray&gt;
-Dimensions without coordinates: x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span>x</span>: 30000000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9978a687-ae3e-4666-8df0-f59d3092c3a5' class='xr-array-in' type='checkbox' checked><label for='section-9978a687-ae3e-4666-8df0-f59d3092c3a5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(10000,), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+Dimensions without coordinates: x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span>x</span>: 30000000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4c4d8f4a-e3ea-440f-997f-58f1527811d1' class='xr-array-in' type='checkbox' checked><label for='section-4c4d8f4a-e3ea-440f-997f-58f1527811d1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(10000,), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
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@@ -1088,7 +1105,7 @@ <h2>Reduced memory usage with dask<a class="headerlink" href="#reduced-memory-us
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+</table></div></div></li><li class='xr-section-item'><input id='section-6da42324-1f4f-4b12-a093-9b26858d53a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6da42324-1f4f-4b12-a093-9b26858d53a3' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-2bc6cce9-9b1e-4cdd-806c-66e56dd11974' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2bc6cce9-9b1e-4cdd-806c-66e56dd11974' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0ed8a9d2-48a3-4d1b-8347-81091dd5ca6f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0ed8a9d2-48a3-4d1b-8347-81091dd5ca6f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
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@@ -1461,7 +1478,7 @@ <h2>Reduced memory usage with dask<a class="headerlink" href="#reduced-memory-us
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-dask.array&lt;mean_agg-aggregate, shape=(), dtype=float64, chunksize=(), chunktype=numpy.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8024a52d-a8a3-471d-93ee-f53a59373c1a' class='xr-array-in' type='checkbox' checked><label for='section-8024a52d-a8a3-471d-93ee-f53a59373c1a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+dask.array&lt;mean_agg-aggregate, shape=(), dtype=float64, chunksize=(), chunktype=numpy.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6135616d-69a6-42dd-a9a2-e29984867245' class='xr-array-in' type='checkbox' checked><label for='section-6135616d-69a6-42dd-a9a2-e29984867245' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
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@@ -1500,7 +1517,7 @@ <h2>Reduced memory usage with dask<a class="headerlink" href="#reduced-memory-us
         
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+</table></div></div></li><li class='xr-section-item'><input id='section-3ac2b889-cdf4-46f8-93a8-680afbae891c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3ac2b889-cdf4-46f8-93a8-680afbae891c' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-eab7357c-462f-4002-86c1-655c25bc8c94' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eab7357c-462f-4002-86c1-655c25bc8c94' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4292657b-5a48-42c7-8541-fa04b9b40559' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4292657b-5a48-42c7-8541-fa04b9b40559' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
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@@ -1874,7 +1891,7 @@ <h2>Reduced memory usage with dask<a class="headerlink" href="#reduced-memory-us
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 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;foo&#x27; (x: 10)&gt;
 dask.array&lt;getitem, shape=(10,), dtype=int64, chunksize=(10,), chunktype=numpy.ndarray&gt;
-Dimensions without coordinates: x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span>x</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3f4db918-9e7b-4a21-808d-ed0c2e13c252' class='xr-array-in' type='checkbox' checked><label for='section-3f4db918-9e7b-4a21-808d-ed0c2e13c252' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(10,), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+Dimensions without coordinates: x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span>x</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-66ea756f-6fe3-4fd5-8db6-290a9cf952ea' class='xr-array-in' type='checkbox' checked><label for='section-66ea756f-6fe3-4fd5-8db6-290a9cf952ea' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(10,), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
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@@ -1929,7 +1946,7 @@ <h2>Reduced memory usage with dask<a class="headerlink" href="#reduced-memory-us
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-</table></div></div></li><li class='xr-section-item'><input id='section-5708ad2a-be40-4597-aa37-9a5bb6dada33' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5708ad2a-be40-4597-aa37-9a5bb6dada33' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-49519df7-e4c7-444c-b7f8-6de00fd7bab7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-49519df7-e4c7-444c-b7f8-6de00fd7bab7' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-cf1f129e-3025-4fb1-9b32-a8616945dff8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cf1f129e-3025-4fb1-9b32-a8616945dff8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+</table></div></div></li><li class='xr-section-item'><input id='section-c8f63796-39a2-42fd-ae76-c7bdd9d631b6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c8f63796-39a2-42fd-ae76-c7bdd9d631b6' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-53b7ac74-e78f-4865-a5d1-807c44e1e8ce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-53b7ac74-e78f-4865-a5d1-807c44e1e8ce' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c20ed7cf-f3bc-4a3e-8342-203774b879e8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c20ed7cf-f3bc-4a3e-8342-203774b879e8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
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 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;foo&#x27; (x: 10)&gt;
 array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
-Dimensions without coordinates: x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span>x</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5d8479cf-d79d-4400-b1b0-34c3cf10f3fd' class='xr-array-in' type='checkbox' checked><label for='section-5d8479cf-d79d-4400-b1b0-34c3cf10f3fd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9</span></div><div class='xr-array-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></div></li><li class='xr-section-item'><input id='section-61daf7a2-2964-40f6-a90b-3d63ef7971d8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-61daf7a2-2964-40f6-a90b-3d63ef7971d8' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f0d96226-b7f7-4c37-883b-1e16cadb0737' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f0d96226-b7f7-4c37-883b-1e16cadb0737' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-18c5ffc9-0612-47b8-a3dd-ef3607bdb0c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-18c5ffc9-0612-47b8-a3dd-ef3607bdb0c4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span>x</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4a662851-9300-4b67-8867-349d0a51d3c2' class='xr-array-in' type='checkbox' checked><label for='section-4a662851-9300-4b67-8867-349d0a51d3c2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9</span></div><div class='xr-array-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></div></li><li class='xr-section-item'><input id='section-c8a36cd4-b8f5-4ee6-8273-8f62fd5a452a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c8a36cd4-b8f5-4ee6-8273-8f62fd5a452a' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-bd71d799-fd4f-47c8-a9ca-f6abe8a03cfc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bd71d799-fd4f-47c8-a9ca-f6abe8a03cfc' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0a35f4f9-85fe-45de-bdc3-9fb6222d19f8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0a35f4f9-85fe-45de-bdc3-9fb6222d19f8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
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 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;foo&#x27; (x: 30000000)&gt;
 array([       0,        1,        2, ..., 29999997, 29999998, 29999999])
-Dimensions without coordinates: x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span>x</span>: 30000000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-442d620b-a205-4b03-8c7d-f7c42b420b71' class='xr-array-in' type='checkbox' checked><label for='section-442d620b-a205-4b03-8c7d-f7c42b420b71' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 ... 29999994 29999995 29999996 29999997 29999998 29999999</span></div><div class='xr-array-data'><pre>array([       0,        1,        2, ..., 29999997, 29999998, 29999999])</pre></div></div></li><li class='xr-section-item'><input id='section-f6638ba8-8036-485d-9fc5-0ce911a0a2b1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f6638ba8-8036-485d-9fc5-0ce911a0a2b1' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-589cf40f-787a-4da7-8b56-242989c4c0ab' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-589cf40f-787a-4da7-8b56-242989c4c0ab' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-be70b42a-10db-4b3f-bd2f-a4a4a24eafe5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-be70b42a-10db-4b3f-bd2f-a4a4a24eafe5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'foo'</div><ul class='xr-dim-list'><li><span>x</span>: 30000000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dd1a238a-0727-4919-bf9b-eab30c193037' class='xr-array-in' type='checkbox' checked><label for='section-dd1a238a-0727-4919-bf9b-eab30c193037' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 ... 29999994 29999995 29999996 29999997 29999998 29999999</span></div><div class='xr-array-data'><pre>array([       0,        1,        2, ..., 29999997, 29999998, 29999999])</pre></div></div></li><li class='xr-section-item'><input id='section-4675676e-3d94-4293-95b0-72f1d18be52a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4675676e-3d94-4293-95b0-72f1d18be52a' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-353c245e-d7b1-4b72-a358-78aa117be1ee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-353c245e-d7b1-4b72-a358-78aa117be1ee' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-97494893-eff4-4536-8e4b-438ab461a34a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-97494893-eff4-4536-8e4b-438ab461a34a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
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@@ -2707,11 +2724,10 @@ <h2>Reduced memory usage with dask<a class="headerlink" href="#reduced-memory-us
 
               
               
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@@ -483,12 +500,12 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="creating-new-backends">
-<h1>Creating new backends<a class="headerlink" href="#creating-new-backends" title="Permalink to this headline">#</a></h1>
+<h1>Creating new backends<a class="headerlink" href="#creating-new-backends" title="Permalink to this heading">#</a></h1>
 <section id="introduction">
-<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this headline">#</a></h2>
+<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this heading">#</a></h2>
 <p>You can <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/io.html">read different type of files</a>) in <code class="docutils literal notranslate"><span class="pre">xr.open_dataset</span></code> by specifying the engine to be used:</p>
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">xarray</span> <span class="k">as</span> <span class="nn">xr</span>
 <span class="n">xr</span><span class="o">.</span><span class="n">open_dataset</span><span class="p">(</span><span class="s2">&quot;my_file.grib&quot;</span> <span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s2">&quot;cfgrib&quot;</span><span class="p">)</span>
@@ -513,7 +530,7 @@ <h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to t
 </ul>
 </section>
 <section id="why-using-the-xarray-backend-api">
-<h2>Why using the Xarray backend API<a class="headerlink" href="#why-using-the-xarray-backend-api" title="Permalink to this headline">#</a></h2>
+<h2>Why using the Xarray backend API<a class="headerlink" href="#why-using-the-xarray-backend-api" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>Your users don’t need to learn a new interface that is they can use <code class="docutils literal notranslate"><span class="pre">xr.open_dataset</span></code> with <code class="docutils literal notranslate"><span class="pre">engine</span></code> kwarg.</p></li>
 <li><p>With little extra effort you can have lazy loading with Dask. you have to implement a function for reading blocks and Xarray will manage lazy loading with Dask for you</p></li>
@@ -521,7 +538,7 @@ <h2>Why using the Xarray backend API<a class="headerlink" href="#why-using-the-x
 </ul>
 </section>
 <section id="next">
-<h2>Next<a class="headerlink" href="#next" title="Permalink to this headline">#</a></h2>
+<h2>Next<a class="headerlink" href="#next" title="Permalink to this heading">#</a></h2>
 <p>See the <a class="reference external" href="https://docs.xarray.dev/en/stable/internals/how-to-add-new-backend.html">documentation</a> for more.</p>
 <p>Follow the tutorial on creating a new backend for binary files.</p>
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@@ -558,11 +575,10 @@ <h2>Next<a class="headerlink" href="#next" title="Permalink to this headline">#<
 
               
               
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@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -431,20 +446,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
   <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -471,10 +488,10 @@ <h1>map_blocks</h1>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="map-blocks">
-<h1>map_blocks<a class="headerlink" href="#map-blocks" title="Permalink to this headline">#</a></h1>
+<h1>map_blocks<a class="headerlink" href="#map-blocks" title="Permalink to this heading">#</a></h1>
 <div class="toctree-wrapper compound">
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="simple_map_blocks.html">A gentle introduction</a></li>
@@ -507,11 +524,10 @@ <h1>map_blocks<a class="headerlink" href="#map-blocks" title="Permalink to this
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
        href="../apply_ufunc/example-interp.html"
@@ -531,16 +547,15 @@ <h1>map_blocks<a class="headerlink" href="#map-blocks" title="Permalink to this
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
-  
 </div>
-
                 </footer>
               
             </div>
             
             
               
+                <div class="bd-sidebar-secondary bd-toc"></div>
+              
             
           </div>
           <footer class="bd-footer-content">
@@ -557,6 +572,7 @@ <h1>map_blocks<a class="headerlink" href="#map-blocks" title="Permalink to this
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2023.
@@ -583,8 +599,8 @@ <h1>map_blocks<a class="headerlink" href="#map-blocks" title="Permalink to this
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/advanced/map_blocks/simple_map_blocks.html b/advanced/map_blocks/simple_map_blocks.html
index 8ec44da8..b91dc149 100644
--- a/advanced/map_blocks/simple_map_blocks.html
+++ b/advanced/map_blocks/simple_map_blocks.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../../_static/styles/bootstrap.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../../_static/vendor/fontawesome/6.1.2/css/all.min.css?digest=e353d410970836974a52" rel="stylesheet" />
-  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
     <link rel="stylesheet" type="text/css" href="../../_static/pygments.css" />
     <link rel="stylesheet" href="../../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
@@ -40,12 +40,14 @@
     <link rel="stylesheet" type="text/css" href="../../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=e353d410970836974a52" />
-<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script data-url_root="../../" id="documentation_options" src="../../_static/documentation_options.js"></script>
     <script src="../../_static/jquery.js"></script>
     <script src="../../_static/underscore.js"></script>
+    <script src="../../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../../_static/doctools.js"></script>
     <script src="../../_static/clipboard.min.js"></script>
     <script src="../../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
   <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -517,18 +534,18 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="a-gentle-introduction">
-<h1>A gentle introduction<a class="headerlink" href="#a-gentle-introduction" title="Permalink to this headline">#</a></h1>
+<h1>A gentle introduction<a class="headerlink" href="#a-gentle-introduction" title="Permalink to this heading">#</a></h1>
 <p><code class="docutils literal notranslate"><span class="pre">map_blocks</span></code> is inspired by the <code class="docutils literal notranslate"><span class="pre">dask.array</span></code> function of the same name and lets
 you map a function on blocks of the xarray object (including Datasets!).</p>
 <p>At <em>compute</em> time, your function will receive an xarray object with concrete
 (computed) values along with appropriate metadata. This function should return
 an xarray object.</p>
 <section id="setup">
-<h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">#</a></h2>
+<h2>Setup<a class="headerlink" href="#setup" title="Permalink to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">dask</span>
@@ -556,7 +573,7 @@ <h2>Setup<a class="headerlink" href="#setup" title="Permalink to this headline">
     <div style="width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;"> </div>
     <div style="margin-left: 48px;">
         <h3 style="margin-bottom: 0px;">Client</h3>
-        <p style="color: #9D9D9D; margin-bottom: 0px;">Client-1c0dc045-c3cd-11ee-8e20-7c1e5204f762</p>
+        <p style="color: #9D9D9D; margin-bottom: 0px;">Client-846154ec-cde4-11ee-8e76-6045bdb39b6d</p>
         <table style="width: 100%; text-align: left;">
 
         <tr>
@@ -591,7 +608,7 @@ <h3 style="margin-bottom: 0px;">Client</h3>
     </div>
     <div style="margin-left: 48px;">
         <h3 style="margin-bottom: 0px; margin-top: 0px;">LocalCluster</h3>
-        <p style="color: #9D9D9D; margin-bottom: 0px;">91d9fab0</p>
+        <p style="color: #9D9D9D; margin-bottom: 0px;">887a9c54</p>
         <table style="width: 100%; text-align: left;">
             <tr>
                 <td style="text-align: left;">
@@ -628,11 +645,11 @@ <h3 style="display: inline;">Scheduler Info</h3>
         <div style="width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;"> </div>
         <div style="margin-left: 48px;">
             <h3 style="margin-bottom: 0px;">Scheduler</h3>
-            <p style="color: #9D9D9D; margin-bottom: 0px;">Scheduler-c31a7ede-a7ad-4eea-89d6-6197ecdae264</p>
+            <p style="color: #9D9D9D; margin-bottom: 0px;">Scheduler-db32dcac-46ff-43bc-b368-496df1056dc2</p>
             <table style="width: 100%; text-align: left;">
                 <tr>
                     <td style="text-align: left;">
-                        <strong>Comm:</strong> tcp://127.0.0.1:46281
+                        <strong>Comm:</strong> tcp://127.0.0.1:46747
                     </td>
                     <td style="text-align: left;">
                         <strong>Workers:</strong> 4
@@ -674,7 +691,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 0</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:41607
+                            <strong>Comm: </strong> tcp://127.0.0.1:38977
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -682,7 +699,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 0</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:35489/status" target="_blank">http://127.0.0.1:35489/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:37841/status" target="_blank">http://127.0.0.1:37841/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -690,13 +707,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 0</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:32967
+                            <strong>Nanny: </strong> tcp://127.0.0.1:37741
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-etao7foc
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-kpg_a7pj
                         </td>
                     </tr>
 
@@ -719,7 +736,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 1</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:41237
+                            <strong>Comm: </strong> tcp://127.0.0.1:36241
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -727,7 +744,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 1</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:38047/status" target="_blank">http://127.0.0.1:38047/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:40947/status" target="_blank">http://127.0.0.1:40947/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -735,13 +752,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 1</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:35301
+                            <strong>Nanny: </strong> tcp://127.0.0.1:39127
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-cd6mtba5
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-bhj3jvbz
                         </td>
                     </tr>
 
@@ -764,7 +781,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 2</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:41677
+                            <strong>Comm: </strong> tcp://127.0.0.1:45831
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -772,7 +789,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 2</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:34959/status" target="_blank">http://127.0.0.1:34959/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:45115/status" target="_blank">http://127.0.0.1:45115/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -780,13 +797,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 2</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:40917
+                            <strong>Nanny: </strong> tcp://127.0.0.1:36341
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-7kmtxx8m
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-ujrcqz91
                         </td>
                     </tr>
 
@@ -809,7 +826,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:33497
+                            <strong>Comm: </strong> tcp://127.0.0.1:46873
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -817,7 +834,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:33439/status" target="_blank">http://127.0.0.1:33439/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:38183/status" target="_blank">http://127.0.0.1:38183/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -825,13 +842,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:41321
+                            <strong>Nanny: </strong> tcp://127.0.0.1:46017
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-x2bwm_vu
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-gkr01wp1
                         </td>
                     </tr>
 
@@ -1264,17 +1281,17 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-37d050c9-8261-4fc8-93da-fbe3b0b61da1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-37d050c9-8261-4fc8-93da-fbe3b0b61da1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8a9ea82b-fa90-40ea-bbd8-0251dd1fbc29' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8a9ea82b-fa90-40ea-bbd8-0251dd1fbc29' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-163922d6-9c83-4a52-9767-9d3551993fed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-163922d6-9c83-4a52-9767-9d3551993fed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-720e5968-d98e-4068-ac5c-36a9847367e6' class='xr-var-data-in' type='checkbox'><label for='data-720e5968-d98e-4068-ac5c-36a9847367e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-33730838-afad-411a-9b57-6468e8a9527c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-33730838-afad-411a-9b57-6468e8a9527c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-19a536bf-824d-4fbb-b7dc-43017fadb591' class='xr-section-summary-in' type='checkbox'  checked><label for='section-19a536bf-824d-4fbb-b7dc-43017fadb591' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-f28539d9-2cab-48f9-949f-b0c827b85daf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f28539d9-2cab-48f9-949f-b0c827b85daf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af759cfd-e132-4f92-a4c6-d29ad06a0257' class='xr-var-data-in' type='checkbox'><label for='data-af759cfd-e132-4f92-a4c6-d29ad06a0257' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-6d66543f-07b2-4117-b9e3-3d4392b41cb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d66543f-07b2-4117-b9e3-3d4392b41cb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8075f2e-7d6b-45c2-8ca6-ef33fef79e1b' class='xr-var-data-in' type='checkbox'><label for='data-d8075f2e-7d6b-45c2-8ca6-ef33fef79e1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-6892ba46-acc8-4420-a8c9-2f59b79e9659' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6892ba46-acc8-4420-a8c9-2f59b79e9659' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2faa5e41-89f2-453e-b93f-de32a965c54e' class='xr-var-data-in' type='checkbox'><label for='data-2faa5e41-89f2-453e-b93f-de32a965c54e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-2ee4e460-5c13-421a-8841-1276503bade8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ee4e460-5c13-421a-8841-1276503bade8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ba899d5-b4a9-4768-ab44-ad269b1837af' class='xr-var-data-in' type='checkbox'><label for='data-5ba899d5-b4a9-4768-ab44-ad269b1837af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-38a6c95d-8ef1-40ef-88c0-b9de762bb021' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38a6c95d-8ef1-40ef-88c0-b9de762bb021' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0bfdc39-7f3f-4792-a8b6-6dba81e7257e' class='xr-var-data-in' type='checkbox'><label for='data-a0bfdc39-7f3f-4792-a8b6-6dba81e7257e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-136b0797-5130-4dcc-b928-68f7a1ac57dc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-136b0797-5130-4dcc-b928-68f7a1ac57dc' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 25, 53), meta=np.ndarray&gt;</div><input id='attrs-dc6ee78c-9555-4e51-a103-6e89ca816f03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc6ee78c-9555-4e51-a103-6e89ca816f03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71a6857b-0aff-492c-a8cb-b37072ef0304' class='xr-var-data-in' type='checkbox'><label for='data-71a6857b-0aff-492c-a8cb-b37072ef0304' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><table>
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eaa0a3a7-47d0-4d0e-8713-b1abaacc53ce' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eaa0a3a7-47d0-4d0e-8713-b1abaacc53ce' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 25, 53), meta=np.ndarray&gt;</div><input id='attrs-ba80748c-9eaa-48cc-8f79-60d423a5c23f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba80748c-9eaa-48cc-8f79-60d423a5c23f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e97ed54-cf10-414a-bd91-589f16d94ff5' class='xr-var-data-in' type='checkbox'><label for='data-3e97ed54-cf10-414a-bd91-589f16d94ff5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -1388,16 +1405,16 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
 </svg>
         </td>
     </tr>
-</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad776987-4e25-4f36-b438-3e213164cee5' class='xr-section-summary-in' type='checkbox'  ><label for='section-ad776987-4e25-4f36-b438-3e213164cee5' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9a6d8321-539b-4a7a-b48f-32c95a70f3ee' class='xr-index-data-in' type='checkbox'/><label for='index-9a6d8321-539b-4a7a-b48f-32c95a70f3ee' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1941f5fa-3a0c-43a9-8a60-e0a10392ffae' class='xr-section-summary-in' type='checkbox'  ><label for='section-1941f5fa-3a0c-43a9-8a60-e0a10392ffae' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bd4977dc-56ac-415f-bb5e-49a7d5517f35' class='xr-index-data-in' type='checkbox'/><label for='index-bd4977dc-56ac-415f-bb5e-49a7d5517f35' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-61ebfbd7-cdbe-4aaf-9792-2c2c7200244a' class='xr-index-data-in' type='checkbox'/><label for='index-61ebfbd7-cdbe-4aaf-9792-2c2c7200244a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-394710c1-ba4f-43e2-8ee0-aaa8a0599028' class='xr-index-data-in' type='checkbox'/><label for='index-394710c1-ba4f-43e2-8ee0-aaa8a0599028' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c259d6ba-9407-44d3-95b7-7e9c2e728886' class='xr-index-data-in' type='checkbox'/><label for='index-c259d6ba-9407-44d3-95b7-7e9c2e728886' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e4d70e8a-f01f-44de-b92a-38712633066e' class='xr-index-data-in' type='checkbox'/><label for='index-e4d70e8a-f01f-44de-b92a-38712633066e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1408,12 +1425,12 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad014b9d-1ece-4d2c-b642-c52910ec16b9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ad014b9d-1ece-4d2c-b642-c52910ec16b9' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-483160bb-066d-47f0-9501-a7bd17a06c2f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-483160bb-066d-47f0-9501-a7bd17a06c2f' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="simple-example">
-<h2>Simple example<a class="headerlink" href="#simple-example" title="Permalink to this headline">#</a></h2>
+<h2>Simple example<a class="headerlink" href="#simple-example" title="Permalink to this heading">#</a></h2>
 <p>Here is an example</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1793,20 +1810,20 @@ <h2>Simple example<a class="headerlink" href="#simple-example" title="Permalink
   fill: currentColor;
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;
-Dimensions:  (time: 2920, lon: 53)
+Dimensions:  (lon: 53, time: 2920)
 Coordinates:
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Data variables:
-    air      (time, lon) float32 dask.array&lt;chunksize=(100, 53), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7cf20237-060f-4691-af8d-3f6603889884' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7cf20237-060f-4691-af8d-3f6603889884' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-15358abb-3bdf-49e6-b02b-8fa34d2e7295' class='xr-section-summary-in' type='checkbox'  checked><label for='section-15358abb-3bdf-49e6-b02b-8fa34d2e7295' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-eb22bd1d-ff21-456c-94c1-22972534a671' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb22bd1d-ff21-456c-94c1-22972534a671' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4298a66e-b6d6-452f-996c-d3d929ff6bb9' class='xr-var-data-in' type='checkbox'><label for='data-4298a66e-b6d6-452f-996c-d3d929ff6bb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
-       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
-       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-5fe1b78e-d614-4b65-8981-5d710fda4a4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fe1b78e-d614-4b65-8981-5d710fda4a4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6fc42ef-9749-4f6b-a7df-66ac52228f4d' class='xr-var-data-in' type='checkbox'><label for='data-e6fc42ef-9749-4f6b-a7df-66ac52228f4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+    air      (time, lon) float32 dask.array&lt;chunksize=(100, 53), meta=np.ndarray&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-94c22262-5370-4b42-9943-129fdd651ac5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-94c22262-5370-4b42-9943-129fdd651ac5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-37541af7-8a49-49f5-8fbf-8ab344a0125e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37541af7-8a49-49f5-8fbf-8ab344a0125e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-cf264f50-67f1-4e38-babd-f79d95978454' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf264f50-67f1-4e38-babd-f79d95978454' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afab063e-27df-4f51-a281-873e0e6f2703' class='xr-var-data-in' type='checkbox'><label for='data-afab063e-27df-4f51-a281-873e0e6f2703' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc6c9476-21e5-4b21-8553-0e7194c8c01d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fc6c9476-21e5-4b21-8553-0e7194c8c01d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 53), meta=np.ndarray&gt;</div><input id='attrs-3636a842-f5b8-4835-b7ac-66225aa0ea77' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3636a842-f5b8-4835-b7ac-66225aa0ea77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85d4b56d-5740-4b3c-8cea-df52604d24e8' class='xr-var-data-in' type='checkbox'><label for='data-85d4b56d-5740-4b3c-8cea-df52604d24e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-2aa8fd94-c327-47ab-aec5-dc0db67f28d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2aa8fd94-c327-47ab-aec5-dc0db67f28d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc1f5fb0-d034-4a8a-95f9-172f615fc15a' class='xr-var-data-in' type='checkbox'><label for='data-dc1f5fb0-d034-4a8a-95f9-172f615fc15a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
+       &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-66fd1ec3-9987-4404-9e60-b9844f418c5c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66fd1ec3-9987-4404-9e60-b9844f418c5c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(100, 53), meta=np.ndarray&gt;</div><input id='attrs-feb53e82-a857-4398-aeb8-c74282cc5603' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-feb53e82-a857-4398-aeb8-c74282cc5603' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbca6f3a-3580-4cbd-8ae4-c47db914adc7' class='xr-var-data-in' type='checkbox'><label for='data-fbca6f3a-3580-4cbd-8ae4-c47db914adc7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -1879,7 +1896,13 @@ <h2>Simple example<a class="headerlink" href="#simple-example" title="Permalink
 </svg>
         </td>
     </tr>
-</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-b4b347c7-a057-44f0-acb6-6c20b39854cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-b4b347c7-a057-44f0-acb6-6c20b39854cc' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8eecca65-5019-4bab-a87d-f96c9dc0ec50' class='xr-index-data-in' type='checkbox'/><label for='index-8eecca65-5019-4bab-a87d-f96c9dc0ec50' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-5048935c-4131-4cd1-afc4-204de97940c1' class='xr-section-summary-in' type='checkbox'  ><label for='section-5048935c-4131-4cd1-afc4-204de97940c1' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5758548e-0ba4-44ba-8d1f-df562ba4149a' class='xr-index-data-in' type='checkbox'/><label for='index-5758548e-0ba4-44ba-8d1f-df562ba4149a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
+       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
+       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
+       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
+       325.0, 327.5, 330.0],
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1b5117c7-3d97-41db-94b4-7f1c63744ce1' class='xr-index-data-in' type='checkbox'/><label for='index-1b5117c7-3d97-41db-94b4-7f1c63744ce1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1890,13 +1913,7 @@ <h2>Simple example<a class="headerlink" href="#simple-example" title="Permalink
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-69aff511-b888-4ba1-a9c6-f68e73d6ef5c' class='xr-index-data-in' type='checkbox'/><label for='index-69aff511-b888-4ba1-a9c6-f68e73d6ef5c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
-       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
-       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
-       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
-       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
-       325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8f4df78-230c-4eca-9af9-c6078cbcc4f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d8f4df78-230c-4eca-9af9-c6078cbcc4f9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-22283781-e462-496b-b7bd-ee6069d741e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-22283781-e462-496b-b7bd-ee6069d741e4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1912,7 +1929,7 @@ <h2>Simple example<a class="headerlink" href="#simple-example" title="Permalink
 </div>
 </div>
 <section id="exercise">
-<h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this headline">#</a></h3>
+<h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this heading">#</a></h3>
 <p>Try applying the following function with <code class="docutils literal notranslate"><span class="pre">map_blocks</span></code>. Specify <code class="docutils literal notranslate"><span class="pre">scale</span></code> as an
 argument and <code class="docutils literal notranslate"><span class="pre">offset</span></code> as a kwarg.</p>
 <p>The docstring should help:
@@ -1923,7 +1940,7 @@ <h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this head
 </div>
 </section>
 <section id="more-advanced-functions">
-<h3>More advanced functions<a class="headerlink" href="#more-advanced-functions" title="Permalink to this headline">#</a></h3>
+<h3>More advanced functions<a class="headerlink" href="#more-advanced-functions" title="Permalink to this heading">#</a></h3>
 <p><code class="docutils literal notranslate"><span class="pre">map_blocks</span></code> needs to know what the returned object looks like <em>exactly</em>. It
 does so by passing a 0-shaped xarray object to the function and examining the
 result. This approach cannot work in all cases For such advanced use cases,
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@@ -2034,6 +2048,7 @@ <h3>More advanced functions<a class="headerlink" href="#more-advanced-functions"
   
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@@ -471,10 +488,10 @@ <h1>Parallelizing custom functions</h1>
               
                 
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-<h1>Parallelizing custom functions<a class="headerlink" href="#parallelizing-custom-functions" title="Permalink to this headline">#</a></h1>
+<h1>Parallelizing custom functions<a class="headerlink" href="#parallelizing-custom-functions" title="Permalink to this heading">#</a></h1>
 <p>Almost all of xarray’s built-in operations work on Dask arrays.</p>
 <p>Sometimes analysis calls for functions that aren’t in xarray’s API (e.g. scipy).
 There are three ways to apply these functions in parallel on each block of your
@@ -516,11 +533,10 @@ <h1>Parallelizing custom functions<a class="headerlink" href="#parallelizing-cus
 
               
               
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@@ -526,11 +543,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
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   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="creating-data-structures">
-<h1>Creating Data Structures<a class="headerlink" href="#creating-data-structures" title="Permalink to this headline">#</a></h1>
+<h1>Creating Data Structures<a class="headerlink" href="#creating-data-structures" title="Permalink to this heading">#</a></h1>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
@@ -929,17 +946,17 @@ <h1>Creating Data Structures<a class="headerlink" href="#creating-data-structure
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e1f2f7e1-cd55-4270-beb3-0ad28df9fd29' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e1f2f7e1-cd55-4270-beb3-0ad28df9fd29' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-18cd198c-6d45-47a0-a87d-8193c322ec18' class='xr-section-summary-in' type='checkbox'  checked><label for='section-18cd198c-6d45-47a0-a87d-8193c322ec18' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-60bd2478-9976-4532-9a6e-ecf30144ef5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60bd2478-9976-4532-9a6e-ecf30144ef5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c0caccf-fb00-4d62-93b8-1046840f0b7d' class='xr-var-data-in' type='checkbox'><label for='data-4c0caccf-fb00-4d62-93b8-1046840f0b7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3f279d04-b823-4b01-af93-051a98d64202' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3f279d04-b823-4b01-af93-051a98d64202' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8ef4a5f7-0f49-40ee-bf8c-1be652807a59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8ef4a5f7-0f49-40ee-bf8c-1be652807a59' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-7204ee91-e1c4-4761-9d6d-6d602fa2d7d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7204ee91-e1c4-4761-9d6d-6d602fa2d7d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-805f35b9-da73-4945-ace6-4043837bff8c' class='xr-var-data-in' type='checkbox'><label for='data-805f35b9-da73-4945-ace6-4043837bff8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-01e1bbbe-cbbb-4086-a0d5-900c281c5cae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01e1bbbe-cbbb-4086-a0d5-900c281c5cae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffb6c5ba-6cfd-4e48-877f-aa982e45759a' class='xr-var-data-in' type='checkbox'><label for='data-ffb6c5ba-6cfd-4e48-877f-aa982e45759a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-5df0b416-dd99-41f2-b1a1-14d5f58363a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5df0b416-dd99-41f2-b1a1-14d5f58363a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8943ecdb-e130-4183-aae8-be18560c389a' class='xr-var-data-in' type='checkbox'><label for='data-8943ecdb-e130-4183-aae8-be18560c389a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-a120a4b2-886c-4d45-9e2e-01fd4282ee62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a120a4b2-886c-4d45-9e2e-01fd4282ee62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0a83c58-2871-40c5-aa96-2bd96a52fa8a' class='xr-var-data-in' type='checkbox'><label for='data-e0a83c58-2871-40c5-aa96-2bd96a52fa8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-1dcba9a6-da84-4455-90d7-317fe041291e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dcba9a6-da84-4455-90d7-317fe041291e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6552f866-1729-4ba8-a3b8-0aa4d24876c3' class='xr-var-data-in' type='checkbox'><label for='data-6552f866-1729-4ba8-a3b8-0aa4d24876c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fb4a645b-2d03-4672-b24d-38f6fb700145' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fb4a645b-2d03-4672-b24d-38f6fb700145' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-df5bff0e-0158-4f87-b326-54267c212146' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df5bff0e-0158-4f87-b326-54267c212146' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-009afc37-6965-4da4-b510-1365691a24f4' class='xr-var-data-in' type='checkbox'><label for='data-009afc37-6965-4da4-b510-1365691a24f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b4b5acd0-0348-4f9f-b1f1-d2b1485d0650' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b4b5acd0-0348-4f9f-b1f1-d2b1485d0650' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-5725cc86-374b-4086-9de0-322cf711e9d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5725cc86-374b-4086-9de0-322cf711e9d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a0f2e1e-a0e1-4908-8ba8-503b2b80df27' class='xr-var-data-in' type='checkbox'><label for='data-7a0f2e1e-a0e1-4908-8ba8-503b2b80df27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -979,16 +996,16 @@ <h1>Creating Data Structures<a class="headerlink" href="#creating-data-structure
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ea84363-3b36-41e8-8c80-0a709daa27ac' class='xr-section-summary-in' type='checkbox'  ><label for='section-0ea84363-3b36-41e8-8c80-0a709daa27ac' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f7d222d5-b51d-490f-8b03-6f1031e7b079' class='xr-index-data-in' type='checkbox'/><label for='index-f7d222d5-b51d-490f-8b03-6f1031e7b079' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-86245029-c450-4aa0-931a-e4167632e003' class='xr-section-summary-in' type='checkbox'  ><label for='section-86245029-c450-4aa0-931a-e4167632e003' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2b2f8520-b4a1-44da-8124-7ef602b83d68' class='xr-index-data-in' type='checkbox'/><label for='index-2b2f8520-b4a1-44da-8124-7ef602b83d68' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eb4d95b7-2279-49a1-8e7c-062de062f43b' class='xr-index-data-in' type='checkbox'/><label for='index-eb4d95b7-2279-49a1-8e7c-062de062f43b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c827c3b1-5885-45f5-9bdb-5ee31acc9421' class='xr-index-data-in' type='checkbox'/><label for='index-c827c3b1-5885-45f5-9bdb-5ee31acc9421' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f30b5391-8773-421f-8caf-28fba415ed13' class='xr-index-data-in' type='checkbox'/><label for='index-f30b5391-8773-421f-8caf-28fba415ed13' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-500546c9-0c4e-458d-bd2a-784f51d34af4' class='xr-index-data-in' type='checkbox'/><label for='index-500546c9-0c4e-458d-bd2a-784f51d34af4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -999,11 +1016,11 @@ <h1>Creating Data Structures<a class="headerlink" href="#creating-data-structure
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6df8a7d4-3714-4e5b-bb24-65871f341343' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6df8a7d4-3714-4e5b-bb24-65871f341343' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5e5f7fd8-55ab-454a-90c6-519efec715a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5e5f7fd8-55ab-454a-90c6-519efec715a5' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <section id="dataarray">
-<h2>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this headline">#</a></h2>
+<h2>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this heading">#</a></h2>
 <p>The <code class="docutils literal notranslate"><span class="pre">DataArray</span></code> class is used to attach a name, dimension names, labels, and
 attributes to an array.</p>
 <p>Our goal will be to recreate the <code class="docutils literal notranslate"><span class="pre">ds.air</span></code> DataArray starting with the underlying numpy data</p>
@@ -1394,7 +1411,7 @@ <h2>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this he
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ccda1ac0-3e6e-40ca-89da-6dd02b25ebab' class='xr-array-in' type='checkbox' ><label for='section-ccda1ac0-3e6e-40ca-89da-6dd02b25ebab' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b20244ab-adfd-4f60-bc29-0bc4ba05b5ed' class='xr-array-in' type='checkbox' ><label for='section-b20244ab-adfd-4f60-bc29-0bc4ba05b5ed' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -1434,26 +1451,26 @@ <h2>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this he
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-720f5687-38cb-412a-929b-dd1fae35b833' class='xr-section-summary-in' type='checkbox'  checked><label for='section-720f5687-38cb-412a-929b-dd1fae35b833' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a76203a3-20bb-47d0-b832-851c638c22f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a76203a3-20bb-47d0-b832-851c638c22f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34e591e6-389c-4514-ac05-eefb8cd81106' class='xr-var-data-in' type='checkbox'><label for='data-34e591e6-389c-4514-ac05-eefb8cd81106' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e0eaa129-32e1-454b-a196-929dce47143b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e0eaa129-32e1-454b-a196-929dce47143b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-8d9653c8-4e6e-4c4e-9c60-d063678ad6a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d9653c8-4e6e-4c4e-9c60-d063678ad6a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5db13cac-847e-4e42-8c9f-f7a65a4a0d67' class='xr-var-data-in' type='checkbox'><label for='data-5db13cac-847e-4e42-8c9f-f7a65a4a0d67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-c913a109-d8ae-4475-bef5-c8b5b74bde5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c913a109-d8ae-4475-bef5-c8b5b74bde5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f29b9593-3f8f-4ded-8848-48da25d8dd59' class='xr-var-data-in' type='checkbox'><label for='data-f29b9593-3f8f-4ded-8848-48da25d8dd59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-727e3dea-c4a2-44dc-a2bf-d067bb29c508' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-727e3dea-c4a2-44dc-a2bf-d067bb29c508' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2627cc12-32f4-4ec5-b9a2-1a13fffefeae' class='xr-var-data-in' type='checkbox'><label for='data-2627cc12-32f4-4ec5-b9a2-1a13fffefeae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-acbb28f4-54a5-4ebc-be04-9e9edcbbca80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acbb28f4-54a5-4ebc-be04-9e9edcbbca80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1b17bd9-82b5-4d6f-aff1-dc8a7305c1b1' class='xr-var-data-in' type='checkbox'><label for='data-d1b17bd9-82b5-4d6f-aff1-dc8a7305c1b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9e27aa1f-8c03-4565-b28f-5d3e4c314bdd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e27aa1f-8c03-4565-b28f-5d3e4c314bdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71a1575f-d545-4095-a127-ed7fa5e50fbd' class='xr-var-data-in' type='checkbox'><label for='data-71a1575f-d545-4095-a127-ed7fa5e50fbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60d30b80-e0b6-40ff-bccf-3406a8c1105c' class='xr-section-summary-in' type='checkbox'  ><label for='section-60d30b80-e0b6-40ff-bccf-3406a8c1105c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c90883e7-94a5-4230-9aec-3ff3aae62472' class='xr-index-data-in' type='checkbox'/><label for='index-c90883e7-94a5-4230-9aec-3ff3aae62472' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae8d6532-0293-474f-a2ef-28cf5e6138cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-ae8d6532-0293-474f-a2ef-28cf5e6138cc' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3518120c-1c7f-4f8a-a6e3-d8abc8e27889' class='xr-index-data-in' type='checkbox'/><label for='index-3518120c-1c7f-4f8a-a6e3-d8abc8e27889' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b6392a86-aa3b-4b1c-97c3-9717d12ce324' class='xr-index-data-in' type='checkbox'/><label for='index-b6392a86-aa3b-4b1c-97c3-9717d12ce324' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f402d2d8-7437-4d79-821b-2b98aabad684' class='xr-index-data-in' type='checkbox'/><label for='index-f402d2d8-7437-4d79-821b-2b98aabad684' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bde8542a-f03b-4818-834e-3ec73719ceb7' class='xr-index-data-in' type='checkbox'/><label for='index-bde8542a-f03b-4818-834e-3ec73719ceb7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f04e2cf7-e717-4e63-8b68-460a40b64920' class='xr-index-data-in' type='checkbox'/><label for='index-f04e2cf7-e717-4e63-8b68-460a40b64920' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1464,7 +1481,7 @@ <h2>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this he
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a28783b-0d4c-41f1-a65a-a4c763c95ce4' class='xr-section-summary-in' type='checkbox'  ><label for='section-0a28783b-0d4c-41f1-a65a-a4c763c95ce4' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0fc16cd8-ff63-4692-8f21-248e34d88ec3' class='xr-section-summary-in' type='checkbox'  ><label for='section-0fc16cd8-ff63-4692-8f21-248e34d88ec3' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1846,7 +1863,7 @@ <h2>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this he
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (dim_0: 2920, dim_1: 25, dim_2: 53)&gt;
 241.2 242.5 243.5 244.0 244.1 243.9 ... 297.9 297.4 297.2 296.5 296.2 295.7
-Dimensions without coordinates: dim_0, dim_1, dim_2</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>dim_0</span>: 2920</li><li><span>dim_1</span>: 25</li><li><span>dim_2</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-72b41a09-7f61-42b4-b4af-2a90cbc97d2d' class='xr-array-in' type='checkbox' ><label for='section-72b41a09-7f61-42b4-b4af-2a90cbc97d2d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+Dimensions without coordinates: dim_0, dim_1, dim_2</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>dim_0</span>: 2920</li><li><span>dim_1</span>: 25</li><li><span>dim_2</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e5751d56-6efd-4710-80b8-873184d911d9' class='xr-array-in' type='checkbox' ><label for='section-e5751d56-6efd-4710-80b8-873184d911d9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -1886,11 +1903,11 @@ <h2>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this he
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-809582ae-10cf-4bcf-a2ad-180b79d2d3a1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-809582ae-10cf-4bcf-a2ad-180b79d2d3a1' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8f04a562-fe29-4648-a7d0-be640de7b8d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8f04a562-fe29-4648-a7d0-be640de7b8d4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b2d3f549-b09a-44bf-8821-ad10819b0603' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b2d3f549-b09a-44bf-8821-ad10819b0603' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c792fcf5-cb1e-4597-8a92-75c950ffc954' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c792fcf5-cb1e-4597-8a92-75c950ffc954' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d1ae423d-f27b-4673-84a9-34b4ea5d7d76' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d1ae423d-f27b-4673-84a9-34b4ea5d7d76' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8b2f7b22-7d29-4cbb-bfc8-95b5b0bd2c6f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8b2f7b22-7d29-4cbb-bfc8-95b5b0bd2c6f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>This works. Notice that the default dimension names are not so useful: <code class="docutils literal notranslate"><span class="pre">dim_0</span></code>, <code class="docutils literal notranslate"><span class="pre">dim_1</span></code>, <code class="docutils literal notranslate"><span class="pre">dim_2</span></code></p>
 <section id="dimension-names">
-<h3>Dimension Names<a class="headerlink" href="#dimension-names" title="Permalink to this headline">#</a></h3>
+<h3>Dimension Names<a class="headerlink" href="#dimension-names" title="Permalink to this heading">#</a></h3>
 <p>We can change this by specifying dimension names in the appropriate order using the <code class="docutils literal notranslate"><span class="pre">dims</span></code> kwarg</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2264,7 +2281,7 @@ <h3>Dimension Names<a class="headerlink" href="#dimension-names" title="Permalin
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 2920, lat: 25, lon: 53)&gt;
 241.2 242.5 243.5 244.0 244.1 243.9 ... 297.9 297.4 297.2 296.5 296.2 295.7
-Dimensions without coordinates: time, lat, lon</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span>lat</span>: 25</li><li><span>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e7127996-4469-4bfe-be96-ba799d379cfe' class='xr-array-in' type='checkbox' ><label for='section-e7127996-4469-4bfe-be96-ba799d379cfe' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+Dimensions without coordinates: time, lat, lon</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span>lat</span>: 25</li><li><span>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7cc0f603-44b1-4939-9ca7-6b13d698ad9c' class='xr-array-in' type='checkbox' ><label for='section-7cc0f603-44b1-4939-9ca7-6b13d698ad9c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -2304,12 +2321,12 @@ <h3>Dimension Names<a class="headerlink" href="#dimension-names" title="Permalin
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-28275705-7dad-440f-ad08-562844181949' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-28275705-7dad-440f-ad08-562844181949' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e7a6b8bf-7b83-4056-8bb8-f1a5a6686a58' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e7a6b8bf-7b83-4056-8bb8-f1a5a6686a58' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-02904609-87f5-411b-9f68-9998233f9489' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-02904609-87f5-411b-9f68-9998233f9489' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6de0b495-1949-4b78-b447-e5904a0c942e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6de0b495-1949-4b78-b447-e5904a0c942e' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-faa73b82-ada1-4914-87b0-90cf274f343e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-faa73b82-ada1-4914-87b0-90cf274f343e' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-3e6fd31d-82b6-4ba1-8864-891055c3c386' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3e6fd31d-82b6-4ba1-8864-891055c3c386' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Much better! But notice we have no entries under “Coordinates”.</p>
 </section>
 <section id="coordinates">
-<h3>Coordinates<a class="headerlink" href="#coordinates" title="Permalink to this headline">#</a></h3>
+<h3>Coordinates<a class="headerlink" href="#coordinates" title="Permalink to this heading">#</a></h3>
 <p>While associating names with dimensions (or axes) of an array is quite useful, attaching coordinate labels to DataArrays makes a lot of analysis quite convenient.</p>
 <p>First we’ll simply add values for <code class="docutils literal notranslate"><span class="pre">lon</span></code> using the <code class="docutils literal notranslate"><span class="pre">coords</span></code> kwarg. For this datasets, longitudes are regularly spaced at 2.5° intervals between 200°E and 330°E.</p>
 <p><code class="docutils literal notranslate"><span class="pre">coords</span></code> takes a dictionary that maps the name of a dimension to one of</p>
@@ -2696,7 +2713,7 @@ <h3>Coordinates<a class="headerlink" href="#coordinates" title="Permalink to thi
 241.2 242.5 243.5 244.0 244.1 243.9 ... 297.9 297.4 297.2 296.5 296.2 295.7
 Coordinates:
   * lon      (lon) float64 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-Dimensions without coordinates: time, lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5c4de452-bc1a-437e-88df-5a69e2e5522d' class='xr-array-in' type='checkbox' ><label for='section-5c4de452-bc1a-437e-88df-5a69e2e5522d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+Dimensions without coordinates: time, lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bcf4b33d-3200-4676-bec2-5a3e77e19df5' class='xr-array-in' type='checkbox' ><label for='section-bcf4b33d-3200-4676-bec2-5a3e77e19df5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -2736,18 +2753,18 @@ <h3>Coordinates<a class="headerlink" href="#coordinates" title="Permalink to thi
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-cfa97886-ec14-4660-9475-903040d07b5e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cfa97886-ec14-4660-9475-903040d07b5e' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-2735d546-80c2-47cf-91ca-c77897314b1f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2735d546-80c2-47cf-91ca-c77897314b1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-164c1b2e-96a5-469d-be3c-00c6d5a3697b' class='xr-var-data-in' type='checkbox'><label for='data-164c1b2e-96a5-469d-be3c-00c6d5a3697b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-aa6017a7-ea17-4c9d-99fc-6e89f9bd36b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aa6017a7-ea17-4c9d-99fc-6e89f9bd36b1' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-43f7c4d7-91c0-4896-a6ff-bb7c2e733cfe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-43f7c4d7-91c0-4896-a6ff-bb7c2e733cfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-383bc5de-99a8-46a7-bf9b-ef02d13b82f4' class='xr-var-data-in' type='checkbox'><label for='data-383bc5de-99a8-46a7-bf9b-ef02d13b82f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-21bdc170-2a04-4bc2-a75d-eab435a6b8bd' class='xr-section-summary-in' type='checkbox'  ><label for='section-21bdc170-2a04-4bc2-a75d-eab435a6b8bd' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ff15c706-6463-4fbc-bc66-aff6a808d727' class='xr-index-data-in' type='checkbox'/><label for='index-ff15c706-6463-4fbc-bc66-aff6a808d727' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34341b11-32ef-49c6-93d5-91212244019b' class='xr-section-summary-in' type='checkbox'  ><label for='section-34341b11-32ef-49c6-93d5-91212244019b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fae86137-f0ee-48b7-ae59-6fd1fc53d24e' class='xr-index-data-in' type='checkbox'/><label for='index-fae86137-f0ee-48b7-ae59-6fd1fc53d24e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7a30e41f-dc0e-4c5c-8685-8ca9f60914a8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7a30e41f-dc0e-4c5c-8685-8ca9f60914a8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f582e407-2a2d-45cd-b851-277cd2800f07' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f582e407-2a2d-45cd-b851-277cd2800f07' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Assigning a plain numpy array is equivalent to creating a DataArray with those values and the same dimension  name</p>
 <div class="cell docutils container">
@@ -3126,7 +3143,7 @@ <h3>Coordinates<a class="headerlink" href="#coordinates" title="Permalink to thi
 241.2 242.5 243.5 244.0 244.1 243.9 ... 297.9 297.4 297.2 296.5 296.2 295.7
 Coordinates:
   * lon      (lon) float64 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-Dimensions without coordinates: time, lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-27fb5593-8cdf-4fae-ba2d-0e89a4d764cb' class='xr-array-in' type='checkbox' ><label for='section-27fb5593-8cdf-4fae-ba2d-0e89a4d764cb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+Dimensions without coordinates: time, lat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4c33c2df-2451-4f74-ad53-2cf393379012' class='xr-array-in' type='checkbox' ><label for='section-4c33c2df-2451-4f74-ad53-2cf393379012' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -3166,18 +3183,18 @@ <h3>Coordinates<a class="headerlink" href="#coordinates" title="Permalink to thi
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-46378cf9-32b0-4590-8879-e5f64d62e97c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-46378cf9-32b0-4590-8879-e5f64d62e97c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-61bfa613-2783-454c-8c84-b26f79243278' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61bfa613-2783-454c-8c84-b26f79243278' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80caa38f-84d1-40bf-b5fc-2c02d71b99e6' class='xr-var-data-in' type='checkbox'><label for='data-80caa38f-84d1-40bf-b5fc-2c02d71b99e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6f1fbd29-3bf7-44c3-bfa6-b44e56feb23f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f1fbd29-3bf7-44c3-bfa6-b44e56feb23f' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-0f517fd5-548a-4fb9-9175-75416317ecfa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0f517fd5-548a-4fb9-9175-75416317ecfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cec9a731-9766-4191-9950-6525ec6d6d52' class='xr-var-data-in' type='checkbox'><label for='data-cec9a731-9766-4191-9950-6525ec6d6d52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44df997d-5577-4c58-9be6-6e3c351f1289' class='xr-section-summary-in' type='checkbox'  ><label for='section-44df997d-5577-4c58-9be6-6e3c351f1289' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-981ec5ed-113d-44b3-ad3e-06dd2a8a527f' class='xr-index-data-in' type='checkbox'/><label for='index-981ec5ed-113d-44b3-ad3e-06dd2a8a527f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89ff8561-0cc6-4254-baac-51f7dd56058c' class='xr-section-summary-in' type='checkbox'  ><label for='section-89ff8561-0cc6-4254-baac-51f7dd56058c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-21f9e2f0-a17d-4f00-92d7-00a24806aa5b' class='xr-index-data-in' type='checkbox'/><label for='index-21f9e2f0-a17d-4f00-92d7-00a24806aa5b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5a512604-1fdc-4107-9563-eafdf61d1cc5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5a512604-1fdc-4107-9563-eafdf61d1cc5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76b3b4ab-8f80-4968-9454-89943908df66' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-76b3b4ab-8f80-4968-9454-89943908df66' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>We can also assign coordinates after a DataArray has been created.</p>
 <div class="cell docutils container">
@@ -3556,7 +3573,7 @@ <h3>Coordinates<a class="headerlink" href="#coordinates" title="Permalink to thi
 Coordinates:
   * lon      (lon) float64 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
   * lat      (lat) float64 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
-Dimensions without coordinates: time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d759d074-bc59-4ed2-a7f4-6727f4558f40' class='xr-array-in' type='checkbox' ><label for='section-d759d074-bc59-4ed2-a7f4-6727f4558f40' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+Dimensions without coordinates: time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-11d8ca23-a77b-48a2-93bb-f4e11961bdaf' class='xr-array-in' type='checkbox' ><label for='section-11d8ca23-a77b-48a2-93bb-f4e11961bdaf' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -3596,27 +3613,27 @@ <h3>Coordinates<a class="headerlink" href="#coordinates" title="Permalink to thi
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-662834f9-be11-4137-a522-7522187787e2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-662834f9-be11-4137-a522-7522187787e2' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-db28babe-45e5-4cd1-8899-b0e9094d6c90' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db28babe-45e5-4cd1-8899-b0e9094d6c90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca2a3f24-03e8-41c1-a8e0-d110ef1c60bc' class='xr-var-data-in' type='checkbox'><label for='data-ca2a3f24-03e8-41c1-a8e0-d110ef1c60bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7ea2b9dd-8303-4aa1-b747-b8b86a64ab95' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7ea2b9dd-8303-4aa1-b747-b8b86a64ab95' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-cbf91933-9308-4986-8a06-aaedae81c0be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cbf91933-9308-4986-8a06-aaedae81c0be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd8af5cc-b8e7-4c8d-bd9c-c76ae8562c11' class='xr-var-data-in' type='checkbox'><label for='data-dd8af5cc-b8e7-4c8d-bd9c-c76ae8562c11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-272ce57c-a637-47bb-b853-5b0cded26a25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-272ce57c-a637-47bb-b853-5b0cded26a25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6301404-8dbb-442a-bdee-577cc677eefb' class='xr-var-data-in' type='checkbox'><label for='data-c6301404-8dbb-442a-bdee-577cc677eefb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-6518fbe7-1f94-4e4d-a55d-12525ca88d82' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6518fbe7-1f94-4e4d-a55d-12525ca88d82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8deb6ac9-2eb4-473d-ba06-e43be2082035' class='xr-var-data-in' type='checkbox'><label for='data-8deb6ac9-2eb4-473d-ba06-e43be2082035' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b87d7a26-8362-46c9-9ce6-302e00cc6594' class='xr-section-summary-in' type='checkbox'  ><label for='section-b87d7a26-8362-46c9-9ce6-302e00cc6594' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-959a69d4-7ddb-47fa-a14f-09d595bddf22' class='xr-index-data-in' type='checkbox'/><label for='index-959a69d4-7ddb-47fa-a14f-09d595bddf22' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       15. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0472a6b3-bd7c-410d-843d-9791679956c2' class='xr-section-summary-in' type='checkbox'  ><label for='section-0472a6b3-bd7c-410d-843d-9791679956c2' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8a59be6e-171e-4590-a7d5-8da11474aae8' class='xr-index-data-in' type='checkbox'/><label for='index-8a59be6e-171e-4590-a7d5-8da11474aae8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9f42e4c2-a79f-4e4c-8e1c-8675716ac221' class='xr-index-data-in' type='checkbox'/><label for='index-9f42e4c2-a79f-4e4c-8e1c-8675716ac221' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c56d6dca-cb7e-4c35-a131-39d79b68e4ea' class='xr-index-data-in' type='checkbox'/><label for='index-c56d6dca-cb7e-4c35-a131-39d79b68e4ea' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3920f206-4163-409a-8cdf-5942c22bdaad' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3920f206-4163-409a-8cdf-5942c22bdaad' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8aac6a0c-d23e-4694-acc1-471c4bb85f9c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8aac6a0c-d23e-4694-acc1-471c4bb85f9c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="attributes">
-<h3>Attributes<a class="headerlink" href="#attributes" title="Permalink to this headline">#</a></h3>
+<h3>Attributes<a class="headerlink" href="#attributes" title="Permalink to this heading">#</a></h3>
 <p>Arbitrary attributes can be assigned using the <code class="docutils literal notranslate"><span class="pre">.attrs</span></code> property</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3996,7 +4013,7 @@ <h3>Attributes<a class="headerlink" href="#attributes" title="Permalink to this
   * lat      (lat) float64 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
 Dimensions without coordinates: time
 Attributes:
-    attribute:  hello</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-86d6a972-7b09-4631-b434-d612a047a7cd' class='xr-array-in' type='checkbox' ><label for='section-86d6a972-7b09-4631-b434-d612a047a7cd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    attribute:  hello</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4cef7e6c-6eca-4612-af0c-87ed982e2e52' class='xr-array-in' type='checkbox' ><label for='section-4cef7e6c-6eca-4612-af0c-87ed982e2e52' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -4036,23 +4053,23 @@ <h3>Attributes<a class="headerlink" href="#attributes" title="Permalink to this
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-45eaa659-815f-45ad-be45-861d4ee5ac93' class='xr-section-summary-in' type='checkbox'  checked><label for='section-45eaa659-815f-45ad-be45-861d4ee5ac93' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-c1efe141-db04-452b-832d-6980bb70d574' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1efe141-db04-452b-832d-6980bb70d574' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64783864-3f0b-4d2b-a85a-4cee4a92d0c0' class='xr-var-data-in' type='checkbox'><label for='data-64783864-3f0b-4d2b-a85a-4cee4a92d0c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-d26f3309-03ef-43a4-8c8c-db28ac8398e4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d26f3309-03ef-43a4-8c8c-db28ac8398e4' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-7b3a81b9-4ced-408a-9564-62de1940b484' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b3a81b9-4ced-408a-9564-62de1940b484' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a1167bf-639a-449e-ad3b-253aa49a6ebb' class='xr-var-data-in' type='checkbox'><label for='data-8a1167bf-639a-449e-ad3b-253aa49a6ebb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-fa648f62-f304-4627-b427-769fd5b13352' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa648f62-f304-4627-b427-769fd5b13352' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4eb48d6-b9c3-47e8-af3c-49a617298e5f' class='xr-var-data-in' type='checkbox'><label for='data-c4eb48d6-b9c3-47e8-af3c-49a617298e5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-7497a4c6-3ac1-4a2f-adcf-84faf4658fcf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7497a4c6-3ac1-4a2f-adcf-84faf4658fcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a53bdba-415c-4016-9eed-a6aa86e9bf6b' class='xr-var-data-in' type='checkbox'><label for='data-3a53bdba-415c-4016-9eed-a6aa86e9bf6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f119d04-4c08-409e-b501-00e3aa0c288c' class='xr-section-summary-in' type='checkbox'  ><label for='section-8f119d04-4c08-409e-b501-00e3aa0c288c' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3007fa23-512a-45f7-a8a0-2c96d5f011c3' class='xr-index-data-in' type='checkbox'/><label for='index-3007fa23-512a-45f7-a8a0-2c96d5f011c3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       15. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd545efb-cacd-49e4-b9e0-a37359e7a3b5' class='xr-section-summary-in' type='checkbox'  ><label for='section-dd545efb-cacd-49e4-b9e0-a37359e7a3b5' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-42c050f9-c82b-4319-abab-5352668b33c9' class='xr-index-data-in' type='checkbox'/><label for='index-42c050f9-c82b-4319-abab-5352668b33c9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0d0d63ba-b68a-4f2a-acac-7e122c060231' class='xr-index-data-in' type='checkbox'/><label for='index-0d0d63ba-b68a-4f2a-acac-7e122c060231' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-17efbd11-e281-4d31-9704-1fa3a1f309d6' class='xr-index-data-in' type='checkbox'/><label for='index-17efbd11-e281-4d31-9704-1fa3a1f309d6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-afc3c769-f613-4e52-855a-784afbb297be' class='xr-section-summary-in' type='checkbox'  checked><label for='section-afc3c769-f613-4e52-855a-784afbb297be' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fdafe540-6170-45c1-b77b-c8d311873f09' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fdafe540-6170-45c1-b77b-c8d311873f09' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>or specified in the constructor</p>
 <div class="cell docutils container">
@@ -4434,7 +4451,7 @@ <h3>Attributes<a class="headerlink" href="#attributes" title="Permalink to this
   * lon      (lon) float64 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
 Dimensions without coordinates: time, lat
 Attributes:
-    attribute:  hello</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-59237b46-a97b-4fc3-aeb3-cc7f167d81cf' class='xr-array-in' type='checkbox' ><label for='section-59237b46-a97b-4fc3-aeb3-cc7f167d81cf' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    attribute:  hello</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ccce3927-8e35-4d7a-9dbf-5556901c7223' class='xr-array-in' type='checkbox' ><label for='section-ccce3927-8e35-4d7a-9dbf-5556901c7223' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -4474,22 +4491,22 @@ <h3>Attributes<a class="headerlink" href="#attributes" title="Permalink to this
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7f04af51-9d46-40cf-8f43-e967bb9fdcc8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7f04af51-9d46-40cf-8f43-e967bb9fdcc8' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ffc89eed-5ee1-4d09-b761-07f0ae6736de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ffc89eed-5ee1-4d09-b761-07f0ae6736de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91b511b0-b9d8-411e-adce-00ae09174fa4' class='xr-var-data-in' type='checkbox'><label for='data-91b511b0-b9d8-411e-adce-00ae09174fa4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-d36fdc60-4bd6-4723-be8d-2a0c8aba424c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d36fdc60-4bd6-4723-be8d-2a0c8aba424c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-000fd893-d229-4ce8-bd1f-71963f06cd59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-000fd893-d229-4ce8-bd1f-71963f06cd59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e0f9883-80e8-4459-ad03-945ddbf397b9' class='xr-var-data-in' type='checkbox'><label for='data-4e0f9883-80e8-4459-ad03-945ddbf397b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f075d107-e2f7-4060-afe4-4b34caf7c57c' class='xr-section-summary-in' type='checkbox'  ><label for='section-f075d107-e2f7-4060-afe4-4b34caf7c57c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-122f2fdd-c38f-4043-8a27-db6d5d831a1a' class='xr-index-data-in' type='checkbox'/><label for='index-122f2fdd-c38f-4043-8a27-db6d5d831a1a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8637fe05-fddd-44c2-a294-e33b7824bbbb' class='xr-section-summary-in' type='checkbox'  ><label for='section-8637fe05-fddd-44c2-a294-e33b7824bbbb' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-41b30ec8-eeed-4705-90d9-6957d102c1ca' class='xr-index-data-in' type='checkbox'/><label for='index-41b30ec8-eeed-4705-90d9-6957d102c1ca' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4327246-65a9-4137-a664-6cdcfa121a78' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a4327246-65a9-4137-a664-6cdcfa121a78' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7c493973-427b-4df3-a972-d1dd667ae08c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7c493973-427b-4df3-a972-d1dd667ae08c' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="non-dimension-coordinates">
-<h3>Non-dimension coordinates<a class="headerlink" href="#non-dimension-coordinates" title="Permalink to this headline">#</a></h3>
+<h3>Non-dimension coordinates<a class="headerlink" href="#non-dimension-coordinates" title="Permalink to this heading">#</a></h3>
 <p>Sometimes we want to attach coordinate variables along an existing dimension. Notice that</p>
 <ol class="arabic simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">itime</span></code> is not bolded and</p></li>
@@ -4875,7 +4892,7 @@ <h3>Non-dimension coordinates<a class="headerlink" href="#non-dimension-coordina
     itime    (time) int64 0 1 2 3 4 5 6 7 ... 2913 2914 2915 2916 2917 2918 2919
 Dimensions without coordinates: time
 Attributes:
-    attribute:  hello</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-12ef857d-22a3-4cbe-a751-3a5bcccaf879' class='xr-array-in' type='checkbox' ><label for='section-12ef857d-22a3-4cbe-a751-3a5bcccaf879' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    attribute:  hello</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f23e27ab-ec15-442f-9560-70716e81194e' class='xr-array-in' type='checkbox' ><label for='section-f23e27ab-ec15-442f-9560-70716e81194e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -4915,27 +4932,27 @@ <h3>Non-dimension coordinates<a class="headerlink" href="#non-dimension-coordina
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9ad7e662-0e81-41ad-9d8d-7d750d442b0c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ad7e662-0e81-41ad-9d8d-7d750d442b0c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-3eb13b91-5a7e-4003-8f2a-50f1adcd337f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3eb13b91-5a7e-4003-8f2a-50f1adcd337f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de19655f-a80d-4f77-afcb-6b2b9e7eaaad' class='xr-var-data-in' type='checkbox'><label for='data-de19655f-a80d-4f77-afcb-6b2b9e7eaaad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-4c1a92ff-cc41-43ba-bb44-a122fa8683ba' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c1a92ff-cc41-43ba-bb44-a122fa8683ba' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-1d981f43-5a6f-4f27-ba04-8e07ad0fd27b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d981f43-5a6f-4f27-ba04-8e07ad0fd27b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11e8fc33-10a4-4010-88f7-8dc221a2df3e' class='xr-var-data-in' type='checkbox'><label for='data-11e8fc33-10a4-4010-88f7-8dc221a2df3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-049dadfd-1a95-413e-8ce2-0007d4dd5e5e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-049dadfd-1a95-413e-8ce2-0007d4dd5e5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a558936c-fa40-4811-ac2b-1ea5b11474d8' class='xr-var-data-in' type='checkbox'><label for='data-a558936c-fa40-4811-ac2b-1ea5b11474d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-d385ef7a-2143-4848-a5c8-b23f756c2fd9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d385ef7a-2143-4848-a5c8-b23f756c2fd9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7d6e1b4-4623-4316-90e2-ce2be124c48e' class='xr-var-data-in' type='checkbox'><label for='data-a7d6e1b4-4623-4316-90e2-ce2be124c48e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-47536fb1-993f-4550-aaad-81ce8e8b4b5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47536fb1-993f-4550-aaad-81ce8e8b4b5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e1be39c-aa80-4858-904e-c7ce070aedf0' class='xr-var-data-in' type='checkbox'><label for='data-0e1be39c-aa80-4858-904e-c7ce070aedf0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce3046a1-6b9b-4ea5-b781-1c55ef83bced' class='xr-section-summary-in' type='checkbox'  ><label for='section-ce3046a1-6b9b-4ea5-b781-1c55ef83bced' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d3bd799f-7319-4186-95cd-2eb73623b573' class='xr-index-data-in' type='checkbox'/><label for='index-d3bd799f-7319-4186-95cd-2eb73623b573' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-722f7b67-364e-4835-bb4a-467f0c0ef31e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-722f7b67-364e-4835-bb4a-467f0c0ef31e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12046be1-1944-48c4-8a63-0c82dac1b493' class='xr-var-data-in' type='checkbox'><label for='data-12046be1-1944-48c4-8a63-0c82dac1b493' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4c906b0-eef5-4189-a319-712e6d0ed49f' class='xr-section-summary-in' type='checkbox'  ><label for='section-a4c906b0-eef5-4189-a319-712e6d0ed49f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-946ed023-3742-41f2-a803-4cb715f81796' class='xr-index-data-in' type='checkbox'/><label for='index-946ed023-3742-41f2-a803-4cb715f81796' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-72379a5c-862c-464c-997d-fa92e6cb7fba' class='xr-index-data-in' type='checkbox'/><label for='index-72379a5c-862c-464c-997d-fa92e6cb7fba' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a8bb7094-09cc-4645-82eb-ff75c31c039b' class='xr-index-data-in' type='checkbox'/><label for='index-a8bb7094-09cc-4645-82eb-ff75c31c039b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa7a2370-757d-4abf-863b-2b80403a8c45' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fa7a2370-757d-4abf-863b-2b80403a8c45' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c1eb070-4a75-4504-91c3-9f5c4f61d553' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c1eb070-4a75-4504-91c3-9f5c4f61d553' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="exercises">
-<h3>Exercises<a class="headerlink" href="#exercises" title="Permalink to this headline">#</a></h3>
+<h3>Exercises<a class="headerlink" href="#exercises" title="Permalink to this heading">#</a></h3>
 <p>create a <code class="docutils literal notranslate"><span class="pre">DataArray</span></code> named “height” from random data <code class="docutils literal notranslate"><span class="pre">rng.random((180,</span> <span class="pre">360))</span> <span class="pre">*</span> <span class="pre">400</span></code></p>
 <ol class="arabic simple">
 <li><p>with dimensions named “latitude” and “longitude”</p></li>
@@ -5323,7 +5340,7 @@ <h3>Exercises<a class="headerlink" href="#exercises" title="Permalink to this he
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;height&#x27; (latitude: 180, longitude: 360)&gt;
 254.8 107.9 16.39 6.611 325.3 365.1 ... 77.56 224.5 325.4 130.9 101.7 159.5
-Dimensions without coordinates: latitude, longitude</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'height'</div><ul class='xr-dim-list'><li><span>latitude</span>: 180</li><li><span>longitude</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-42122314-0222-4486-b87b-27dbba7bc9d1' class='xr-array-in' type='checkbox' ><label for='section-42122314-0222-4486-b87b-27dbba7bc9d1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>254.8 107.9 16.39 6.611 325.3 365.1 ... 224.5 325.4 130.9 101.7 159.5</span></div><div class='xr-array-data'><pre>array([[254.78467493, 107.91468551,  16.38940957, ..., 360.44323737,
+Dimensions without coordinates: latitude, longitude</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'height'</div><ul class='xr-dim-list'><li><span>latitude</span>: 180</li><li><span>longitude</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f839bc6c-fde0-4cc9-bcb1-0cb3713b48f2' class='xr-array-in' type='checkbox' ><label for='section-f839bc6c-fde0-4cc9-bcb1-0cb3713b48f2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>254.8 107.9 16.39 6.611 325.3 365.1 ... 224.5 325.4 130.9 101.7 159.5</span></div><div class='xr-array-data'><pre>array([[254.78467493, 107.91468551,  16.38940957, ..., 360.44323737,
         136.69706008,  95.57748468],
        [328.71680109, 233.99307209, 190.63536868, ..., 376.94421292,
         320.89846253,  48.94701864],
@@ -5335,7 +5352,7 @@ <h3>Exercises<a class="headerlink" href="#exercises" title="Permalink to this he
        [145.41534826,  16.18463217, 236.01756475, ..., 388.09452038,
          96.19908112, 183.22058129],
        [393.64705664,   2.99353683, 129.50138154, ..., 130.89893988,
-        101.70591237, 159.53358201]])</pre></div></div></li><li class='xr-section-item'><input id='section-e480d760-6156-4e1d-a008-9f139ddde280' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e480d760-6156-4e1d-a008-9f139ddde280' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-664f6fc4-91b5-4481-ab20-8670d235ecba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-664f6fc4-91b5-4481-ab20-8670d235ecba' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-82d8dced-003c-4c7a-9f3c-192150875ce9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-82d8dced-003c-4c7a-9f3c-192150875ce9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+        101.70591237, 159.53358201]])</pre></div></div></li><li class='xr-section-item'><input id='section-b6c4ca1b-48e7-4110-a64e-b3741cb9f091' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b6c4ca1b-48e7-4110-a64e-b3741cb9f091' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-bc1ecc0e-b8df-45a0-9166-b312f75bb3ef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bc1ecc0e-b8df-45a0-9166-b312f75bb3ef' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-dcacdb60-2a60-47a1-9675-3a97f7969bcf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dcacdb60-2a60-47a1-9675-3a97f7969bcf' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 <ol class="arabic simple" start="2">
@@ -5734,7 +5751,7 @@ <h3>Exercises<a class="headerlink" href="#exercises" title="Permalink to this he
 192.4 101.9 45.38 76.42 56.98 3.814 ... 16.73 47.68 199.2 47.88 303.5 121.3
 Coordinates:
   * latitude   (latitude) int64 -90 -89 -88 -87 -86 -85 ... 84 85 86 87 88 89
-  * longitude  (longitude) int64 -180 -179 -178 -177 -176 ... 176 177 178 179</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 180</li><li><span class='xr-has-index'>longitude</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d7ef0bc0-0211-4bbe-bbb2-9ad488b0f9ef' class='xr-array-in' type='checkbox' ><label for='section-d7ef0bc0-0211-4bbe-bbb2-9ad488b0f9ef' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>192.4 101.9 45.38 76.42 56.98 3.814 ... 47.68 199.2 47.88 303.5 121.3</span></div><div class='xr-array-data'><pre>array([[192.38461717, 101.94504527,  45.37535659, ..., 111.38234931,
+  * longitude  (longitude) int64 -180 -179 -178 -177 -176 ... 176 177 178 179</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 180</li><li><span class='xr-has-index'>longitude</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3d0151f9-81c4-4090-a47e-7ce5cd95bb69' class='xr-array-in' type='checkbox' ><label for='section-3d0151f9-81c4-4090-a47e-7ce5cd95bb69' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>192.4 101.9 45.38 76.42 56.98 3.814 ... 47.68 199.2 47.88 303.5 121.3</span></div><div class='xr-array-data'><pre>array([[192.38461717, 101.94504527,  45.37535659, ..., 111.38234931,
         370.70916505,   1.80825302],
        [225.29060084,   4.84789243,  94.62683468, ...,  80.62425906,
         185.74823084, 355.20629981],
@@ -5746,7 +5763,7 @@ <h3>Exercises<a class="headerlink" href="#exercises" title="Permalink to this he
        [269.50343289,  60.07507526, 166.78187762, ..., 147.63810345,
           2.0815061 , 185.67065187],
        [368.6121118 ,  56.77162384, 132.49547701, ...,  47.87980237,
-        303.46883671, 121.31770668]])</pre></div></div></li><li class='xr-section-item'><input id='section-0c7c3dbe-5642-4bc7-937c-00fa71fce6e3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c7c3dbe-5642-4bc7-937c-00fa71fce6e3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-90 -89 -88 -87 -86 ... 86 87 88 89</div><input id='attrs-7eb4a0e2-3840-4443-bf3b-4f4fa30dba12' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7eb4a0e2-3840-4443-bf3b-4f4fa30dba12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-863cabfe-c069-42d3-bbe6-d5df6a927afd' class='xr-var-data-in' type='checkbox'><label for='data-863cabfe-c069-42d3-bbe6-d5df6a927afd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81, -80, -79, -78, -77,
+        303.46883671, 121.31770668]])</pre></div></div></li><li class='xr-section-item'><input id='section-67bc2f17-eec8-407f-bde7-7414ae9d54ff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-67bc2f17-eec8-407f-bde7-7414ae9d54ff' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-90 -89 -88 -87 -86 ... 86 87 88 89</div><input id='attrs-98554e96-471a-4a2b-a1e1-f3f8a68b6d4d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98554e96-471a-4a2b-a1e1-f3f8a68b6d4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8baa9f96-4210-4d60-b5d9-5a4bc56981f3' class='xr-var-data-in' type='checkbox'><label for='data-8baa9f96-4210-4d60-b5d9-5a4bc56981f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81, -80, -79, -78, -77,
        -76, -75, -74, -73, -72, -71, -70, -69, -68, -67, -66, -65, -64, -63,
        -62, -61, -60, -59, -58, -57, -56, -55, -54, -53, -52, -51, -50, -49,
        -48, -47, -46, -45, -44, -43, -42, -41, -40, -39, -38, -37, -36, -35,
@@ -5758,13 +5775,13 @@ <h3>Exercises<a class="headerlink" href="#exercises" title="Permalink to this he
         36,  37,  38,  39,  40,  41,  42,  43,  44,  45,  46,  47,  48,  49,
         50,  51,  52,  53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,
         64,  65,  66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,
-        78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-180 -179 -178 -177 ... 177 178 179</div><input id='attrs-9a3988c3-1c23-46bd-808b-eca60b643453' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a3988c3-1c23-46bd-808b-eca60b643453' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fb41e79-5da8-4343-8b75-5ddefd69b350' class='xr-var-data-in' type='checkbox'><label for='data-9fb41e79-5da8-4343-8b75-5ddefd69b350' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-180, -179, -178, ...,  177,  178,  179])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c8b16321-d1f6-4017-92c7-8b8e9a660d33' class='xr-section-summary-in' type='checkbox'  ><label for='section-c8b16321-d1f6-4017-92c7-8b8e9a660d33' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-77425574-e03e-45a7-aefe-2a77012ef39c' class='xr-index-data-in' type='checkbox'/><label for='index-77425574-e03e-45a7-aefe-2a77012ef39c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81,
+        78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-180 -179 -178 -177 ... 177 178 179</div><input id='attrs-a586a096-2026-40fb-850e-8f8845569e7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a586a096-2026-40fb-850e-8f8845569e7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b0df3f3-31fc-450e-9baf-05a63d380e47' class='xr-var-data-in' type='checkbox'><label for='data-2b0df3f3-31fc-450e-9baf-05a63d380e47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-180, -179, -178, ...,  177,  178,  179])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d9e53d37-be1b-4ddc-9158-dc2929e51c44' class='xr-section-summary-in' type='checkbox'  ><label for='section-d9e53d37-be1b-4ddc-9158-dc2929e51c44' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4b94a6dd-9226-45fb-ac45-d0f3bfdbcadf' class='xr-index-data-in' type='checkbox'/><label for='index-4b94a6dd-9226-45fb-ac45-d0f3bfdbcadf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81,
        ...
         80,  81,  82,  83,  84,  85,  86,  87,  88,  89],
-      dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0789882e-2faf-4c5a-952d-dd46b452724a' class='xr-index-data-in' type='checkbox'/><label for='index-0789882e-2faf-4c5a-952d-dd46b452724a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-180, -179, -178, -177, -176, -175, -174, -173, -172, -171,
+      dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-af0c7003-95d5-42fc-af94-3eb17611fb03' class='xr-index-data-in' type='checkbox'/><label for='index-af0c7003-95d5-42fc-af94-3eb17611fb03' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-180, -179, -178, -177, -176, -175, -174, -173, -172, -171,
        ...
         170,  171,  172,  173,  174,  175,  176,  177,  178,  179],
-      dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47d05eb8-7a87-40c5-9846-093d7b64b7bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-47d05eb8-7a87-40c5-9846-093d7b64b7bf' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-114246b8-e28d-44da-9bc5-00d9f3eec486' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-114246b8-e28d-44da-9bc5-00d9f3eec486' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 <ol class="arabic simple" start="3">
@@ -6164,7 +6181,7 @@ <h3>Exercises<a class="headerlink" href="#exercises" title="Permalink to this he
   * latitude   (latitude) int64 -90 -89 -88 -87 -86 -85 ... 84 85 86 87 88 89
   * longitude  (longitude) int64 -180 -179 -178 -177 -176 ... 176 177 178 179
 Attributes:
-    type:     ellipsoid</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'height'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 180</li><li><span class='xr-has-index'>longitude</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4771cd9d-1bdb-4533-bc66-56e52abc3b47' class='xr-array-in' type='checkbox' ><label for='section-4771cd9d-1bdb-4533-bc66-56e52abc3b47' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>386.1 179.0 228.3 220.4 128.0 69.01 ... 5.998 313.2 272.4 333.2 24.13</span></div><div class='xr-array-data'><pre>array([[386.07529837, 179.02970377, 228.25957506, ..., 379.99256392,
+    type:     ellipsoid</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'height'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 180</li><li><span class='xr-has-index'>longitude</span>: 360</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f8168fda-9e90-4ef3-9521-e66b59513524' class='xr-array-in' type='checkbox' ><label for='section-f8168fda-9e90-4ef3-9521-e66b59513524' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>386.1 179.0 228.3 220.4 128.0 69.01 ... 5.998 313.2 272.4 333.2 24.13</span></div><div class='xr-array-data'><pre>array([[386.07529837, 179.02970377, 228.25957506, ..., 379.99256392,
         281.57477967, 310.84352388],
        [353.4034526 , 192.65838344,  93.49341533, ..., 225.87821852,
         391.18615172,  65.58503322],
@@ -6176,7 +6193,7 @@ <h3>Exercises<a class="headerlink" href="#exercises" title="Permalink to this he
        [187.25374319, 259.83962302, 169.4764494 , ..., 314.26182972,
         119.98483324, 332.83021087],
        [181.1893609 ,   8.17463794,  13.33950606, ..., 272.39776632,
-        333.18204102,  24.12761496]])</pre></div></div></li><li class='xr-section-item'><input id='section-697acadc-ffa6-4018-a518-3ada8981e681' class='xr-section-summary-in' type='checkbox'  checked><label for='section-697acadc-ffa6-4018-a518-3ada8981e681' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-90 -89 -88 -87 -86 ... 86 87 88 89</div><input id='attrs-65b94a0f-c0d0-4d41-a89f-fd30a9acddcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65b94a0f-c0d0-4d41-a89f-fd30a9acddcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-472f1042-11e6-4649-b2d4-5c0325e5eff0' class='xr-var-data-in' type='checkbox'><label for='data-472f1042-11e6-4649-b2d4-5c0325e5eff0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>type :</span></dt><dd>geodetic</dd></dl></div><div class='xr-var-data'><pre>array([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81, -80, -79, -78, -77,
+        333.18204102,  24.12761496]])</pre></div></div></li><li class='xr-section-item'><input id='section-93b3fbe9-1bf6-4371-8d7b-91e006a9c102' class='xr-section-summary-in' type='checkbox'  checked><label for='section-93b3fbe9-1bf6-4371-8d7b-91e006a9c102' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-90 -89 -88 -87 -86 ... 86 87 88 89</div><input id='attrs-144c4f89-70dd-402e-bd1b-3a14f632bb04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-144c4f89-70dd-402e-bd1b-3a14f632bb04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f2a3e68-ba14-4753-8fc0-44d631119298' class='xr-var-data-in' type='checkbox'><label for='data-1f2a3e68-ba14-4753-8fc0-44d631119298' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>type :</span></dt><dd>geodetic</dd></dl></div><div class='xr-var-data'><pre>array([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81, -80, -79, -78, -77,
        -76, -75, -74, -73, -72, -71, -70, -69, -68, -67, -66, -65, -64, -63,
        -62, -61, -60, -59, -58, -57, -56, -55, -54, -53, -52, -51, -50, -49,
        -48, -47, -46, -45, -44, -43, -42, -41, -40, -39, -38, -37, -36, -35,
@@ -6188,18 +6205,18 @@ <h3>Exercises<a class="headerlink" href="#exercises" title="Permalink to this he
         36,  37,  38,  39,  40,  41,  42,  43,  44,  45,  46,  47,  48,  49,
         50,  51,  52,  53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,
         64,  65,  66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,
-        78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-180 -179 -178 -177 ... 177 178 179</div><input id='attrs-4a3bc93b-93c1-4bd5-9ecf-a65817ffc23b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a3bc93b-93c1-4bd5-9ecf-a65817ffc23b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2532f6fe-4dbc-4806-b50c-1270c5691a3a' class='xr-var-data-in' type='checkbox'><label for='data-2532f6fe-4dbc-4806-b50c-1270c5691a3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>prime_meridian :</span></dt><dd>greenwich</dd></dl></div><div class='xr-var-data'><pre>array([-180, -179, -178, ...,  177,  178,  179])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8ef943a2-404b-4605-932f-81068241dc2a' class='xr-section-summary-in' type='checkbox'  ><label for='section-8ef943a2-404b-4605-932f-81068241dc2a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b5711edf-ca7a-4433-b828-a77a356179d7' class='xr-index-data-in' type='checkbox'/><label for='index-b5711edf-ca7a-4433-b828-a77a356179d7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81,
+        78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-180 -179 -178 -177 ... 177 178 179</div><input id='attrs-fb754dc8-3ed4-4396-8af9-db369efeb8cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb754dc8-3ed4-4396-8af9-db369efeb8cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75652bdc-270d-40e5-a573-928a0b6fe72b' class='xr-var-data-in' type='checkbox'><label for='data-75652bdc-270d-40e5-a573-928a0b6fe72b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>prime_meridian :</span></dt><dd>greenwich</dd></dl></div><div class='xr-var-data'><pre>array([-180, -179, -178, ...,  177,  178,  179])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6c8a5ec6-8536-4187-9495-0626c1e6f1d4' class='xr-section-summary-in' type='checkbox'  ><label for='section-6c8a5ec6-8536-4187-9495-0626c1e6f1d4' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dcfe2c16-2bdc-4a54-872b-75cdf67e204b' class='xr-index-data-in' type='checkbox'/><label for='index-dcfe2c16-2bdc-4a54-872b-75cdf67e204b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81,
        ...
         80,  81,  82,  83,  84,  85,  86,  87,  88,  89],
-      dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5dc9287b-7c58-4e5b-807b-7d79f63c2668' class='xr-index-data-in' type='checkbox'/><label for='index-5dc9287b-7c58-4e5b-807b-7d79f63c2668' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-180, -179, -178, -177, -176, -175, -174, -173, -172, -171,
+      dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2be8609c-9fa6-4509-a6fe-22bd7fe0cb24' class='xr-index-data-in' type='checkbox'/><label for='index-2be8609c-9fa6-4509-a6fe-22bd7fe0cb24' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-180, -179, -178, -177, -176, -175, -174, -173, -172, -171,
        ...
         170,  171,  172,  173,  174,  175,  176,  177,  178,  179],
-      dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-215022b8-df38-48d2-98b2-2c646c10ad57' class='xr-section-summary-in' type='checkbox'  checked><label for='section-215022b8-df38-48d2-98b2-2c646c10ad57' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>type :</span></dt><dd>ellipsoid</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-93bab8f6-d988-46b2-ad5d-a09f76f8ba6f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-93bab8f6-d988-46b2-ad5d-a09f76f8ba6f' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>type :</span></dt><dd>ellipsoid</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 </section>
 <section id="dataset">
-<h2>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headline">#</a></h2>
+<h2>Dataset<a class="headerlink" href="#dataset" title="Permalink to this heading">#</a></h2>
 <p><code class="docutils literal notranslate"><span class="pre">Dataset</span></code> objects collect multiple data variables, each with possibly different
 dimensions.</p>
 <p>The constructor of <code class="docutils literal notranslate"><span class="pre">Dataset</span></code> takes three parameters:</p>
@@ -6583,10 +6600,10 @@ <h2>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headli
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;
 Dimensions:  ()
 Data variables:
-    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fa011fad-5bb8-499c-aaf8-746ff05e1c11' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fa011fad-5bb8-499c-aaf8-746ff05e1c11' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6785eb5c-f2f1-4a24-ac5d-851e86cccaa0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6785eb5c-f2f1-4a24-ac5d-851e86cccaa0' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a5e4cd12-ff76-4cfb-9232-484fc2aa0269' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a5e4cd12-ff76-4cfb-9232-484fc2aa0269' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e3f19b99-2033-4d43-b62e-c4b240a5435a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e3f19b99-2033-4d43-b62e-c4b240a5435a' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f640e635-631e-4e3b-abad-3fc45abf5b82' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f640e635-631e-4e3b-abad-3fc45abf5b82' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+    *empty*</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7ea8611a-3ad7-4b81-b23b-4845dca5dc42' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ea8611a-3ad7-4b81-b23b-4845dca5dc42' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-13a00c70-d8a4-405b-9a43-b86e4fa2fc98' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-13a00c70-d8a4-405b-9a43-b86e4fa2fc98' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a4375a34-0536-4e98-8150-947aaddbe799' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a4375a34-0536-4e98-8150-947aaddbe799' class='xr-section-summary'  title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-dd94ddb4-e516-4c5f-810a-3f9ded14b869' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dd94ddb4-e516-4c5f-810a-3f9ded14b869' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d4bd49db-1029-4b9d-830f-127a234788a4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d4bd49db-1029-4b9d-830f-127a234788a4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <section id="data-variables">
-<h3>Data Variables<a class="headerlink" href="#data-variables" title="Permalink to this headline">#</a></h3>
+<h3>Data Variables<a class="headerlink" href="#data-variables" title="Permalink to this heading">#</a></h3>
 <p>Let’s create a <code class="docutils literal notranslate"><span class="pre">Dataset</span></code> with two data variables: <code class="docutils literal notranslate"><span class="pre">da</span></code> and <code class="docutils literal notranslate"><span class="pre">da2</span></code></p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -6968,14 +6985,14 @@ <h3>Data Variables<a class="headerlink" href="#data-variables" title="Permalink
 Dimensions without coordinates: time
 Data variables:
     air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
-    air2     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2f13e0b0-6924-4e87-a0b9-314b6237235b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2f13e0b0-6924-4e87-a0b9-314b6237235b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3e59da1d-b38d-40f6-abd8-8cb477120145' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3e59da1d-b38d-40f6-abd8-8cb477120145' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-48236ab2-a2c2-4857-b9e3-808b9bddfdac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48236ab2-a2c2-4857-b9e3-808b9bddfdac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e3fce33-29ed-4d5e-a2f2-7c15844cdb98' class='xr-var-data-in' type='checkbox'><label for='data-4e3fce33-29ed-4d5e-a2f2-7c15844cdb98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+    air2     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-02eb45e1-97d1-424b-9f53-da33f3c9f4ad' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-02eb45e1-97d1-424b-9f53-da33f3c9f4ad' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ac5aacc5-c02b-4695-ac47-d37e2aeee939' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ac5aacc5-c02b-4695-ac47-d37e2aeee939' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-173b50d4-5397-4695-915d-a83e78280526' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-173b50d4-5397-4695-915d-a83e78280526' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-822f9611-3a6d-4977-98cb-5c98c53b8756' class='xr-var-data-in' type='checkbox'><label for='data-822f9611-3a6d-4977-98cb-5c98c53b8756' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-9f3724eb-f83f-4aba-8f50-1b0816e7ba2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f3724eb-f83f-4aba-8f50-1b0816e7ba2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c8a59c2-f472-4382-a0dd-51a05e512dca' class='xr-var-data-in' type='checkbox'><label for='data-0c8a59c2-f472-4382-a0dd-51a05e512dca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-31809b87-7af4-4db5-a883-b847108cc1a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-31809b87-7af4-4db5-a883-b847108cc1a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aefac31-8bd2-4a75-8d09-4dcbe0888ed3' class='xr-var-data-in' type='checkbox'><label for='data-2aefac31-8bd2-4a75-8d09-4dcbe0888ed3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-db35cbea-d21e-4d9f-820b-093db9105752' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db35cbea-d21e-4d9f-820b-093db9105752' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0e203a7-50b0-42fc-9d24-a2143d9afab3' class='xr-var-data-in' type='checkbox'><label for='data-f0e203a7-50b0-42fc-9d24-a2143d9afab3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dac6f279-e848-442f-866f-708daa1dcc6c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dac6f279-e848-442f-866f-708daa1dcc6c' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-024f5569-86bd-40c4-8f7a-7a65abead982' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-024f5569-86bd-40c4-8f7a-7a65abead982' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72f1cb97-fd00-40a3-a9a7-f0969a0ee079' class='xr-var-data-in' type='checkbox'><label for='data-72f1cb97-fd00-40a3-a9a7-f0969a0ee079' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-784c8827-f6db-4669-94bb-f4a8581cceac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-784c8827-f6db-4669-94bb-f4a8581cceac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c383f2c4-0d34-45eb-b272-4c8ca17d60e7' class='xr-var-data-in' type='checkbox'><label for='data-c383f2c4-0d34-45eb-b272-4c8ca17d60e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-837b02ba-c302-4340-8694-36b6750a37e4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-837b02ba-c302-4340-8694-36b6750a37e4' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-fd3777ad-a9cc-43cb-875b-685bfbea0d8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd3777ad-a9cc-43cb-875b-685bfbea0d8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a29e959b-5eba-4085-b567-6919ea4fe4b8' class='xr-var-data-in' type='checkbox'><label for='data-a29e959b-5eba-4085-b567-6919ea4fe4b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -7015,7 +7032,7 @@ <h3>Data Variables<a class="headerlink" href="#data-variables" title="Permalink
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-9a5f5277-0a33-49a8-b6d2-868d5aeded49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a5f5277-0a33-49a8-b6d2-868d5aeded49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e32ba8c3-41fa-4fb6-9252-659aca0cb024' class='xr-var-data-in' type='checkbox'><label for='data-e32ba8c3-41fa-4fb6-9252-659aca0cb024' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-4301a8cb-addb-4694-842c-3fb5cad30131' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4301a8cb-addb-4694-842c-3fb5cad30131' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4aeb1d7-8f58-4fe3-80cd-d090f2f35f93' class='xr-var-data-in' type='checkbox'><label for='data-a4aeb1d7-8f58-4fe3-80cd-d090f2f35f93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -7055,16 +7072,16 @@ <h3>Data Variables<a class="headerlink" href="#data-variables" title="Permalink
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b68a2b9b-3ef9-40eb-84fc-1dc3a8b17792' class='xr-section-summary-in' type='checkbox'  ><label for='section-b68a2b9b-3ef9-40eb-84fc-1dc3a8b17792' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0f175b64-374e-4b7a-81d8-6dd5461b4865' class='xr-index-data-in' type='checkbox'/><label for='index-0f175b64-374e-4b7a-81d8-6dd5461b4865' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ba455e9-027c-49c0-8858-3b7d8ee0bf99' class='xr-section-summary-in' type='checkbox'  ><label for='section-3ba455e9-027c-49c0-8858-3b7d8ee0bf99' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d345c58a-3ff4-43f8-bca0-c51a47f0d003' class='xr-index-data-in' type='checkbox'/><label for='index-d345c58a-3ff4-43f8-bca0-c51a47f0d003' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0ce5fae6-c5dc-4940-9f03-71319d1c26f0' class='xr-index-data-in' type='checkbox'/><label for='index-0ce5fae6-c5dc-4940-9f03-71319d1c26f0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-06530d27-77b1-4905-8d05-2cff9c98848d' class='xr-index-data-in' type='checkbox'/><label for='index-06530d27-77b1-4905-8d05-2cff9c98848d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a1956a40-0c53-4ee0-a8a5-ec7ea841d57b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a1956a40-0c53-4ee0-a8a5-ec7ea841d57b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d802dc46-f3e6-43a1-9a49-487d3dbc7773' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d802dc46-f3e6-43a1-9a49-487d3dbc7773' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>You can directly assign a new data variables</p>
 <div class="cell docutils container">
@@ -7448,14 +7465,14 @@ <h3>Data Variables<a class="headerlink" href="#data-variables" title="Permalink
 Data variables:
     air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
     air2     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
-    air3     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ef7f2469-b5fa-4c92-b80e-a30d297098b8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ef7f2469-b5fa-4c92-b80e-a30d297098b8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9078f731-82f8-48b9-be84-af6b9db375df' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9078f731-82f8-48b9-be84-af6b9db375df' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-d4f88e61-1f38-4409-8298-ec9f9d6eef50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d4f88e61-1f38-4409-8298-ec9f9d6eef50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5715d39a-29fe-4f08-92e3-9a27b0b02c37' class='xr-var-data-in' type='checkbox'><label for='data-5715d39a-29fe-4f08-92e3-9a27b0b02c37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+    air3     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e874aaff-a977-4347-b5e8-c2b81620eb8a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e874aaff-a977-4347-b5e8-c2b81620eb8a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2c8c1676-826b-4ed6-82bf-d0e3f85e3d84' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2c8c1676-826b-4ed6-82bf-d0e3f85e3d84' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-5c94389a-383e-475d-add3-54dc832c2de8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c94389a-383e-475d-add3-54dc832c2de8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc9a895c-dfae-4bc0-8761-0c9658323a8e' class='xr-var-data-in' type='checkbox'><label for='data-cc9a895c-dfae-4bc0-8761-0c9658323a8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-8a1ac482-754a-47a1-81ec-60a4cce80ba0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a1ac482-754a-47a1-81ec-60a4cce80ba0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a760735-39f1-4f95-b06a-8ce4107ae229' class='xr-var-data-in' type='checkbox'><label for='data-2a760735-39f1-4f95-b06a-8ce4107ae229' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-14927912-89e8-4782-9879-b11f0eece508' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-14927912-89e8-4782-9879-b11f0eece508' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-503efa6a-e9a5-4a87-92ed-6aae5884d657' class='xr-var-data-in' type='checkbox'><label for='data-503efa6a-e9a5-4a87-92ed-6aae5884d657' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-df21f5f4-13f7-4ba1-85bb-9ab7847ba977' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df21f5f4-13f7-4ba1-85bb-9ab7847ba977' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-150a372b-ebe3-4f27-9202-5ba4300d045b' class='xr-var-data-in' type='checkbox'><label for='data-150a372b-ebe3-4f27-9202-5ba4300d045b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-182e9ed6-def0-4cb5-82a3-7a8a5508797b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-182e9ed6-def0-4cb5-82a3-7a8a5508797b' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-9d40c3c6-5eb7-4cb4-a9bc-3f76adf9220e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d40c3c6-5eb7-4cb4-a9bc-3f76adf9220e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74c886a3-2ca9-401c-863e-3fa280ec3918' class='xr-var-data-in' type='checkbox'><label for='data-74c886a3-2ca9-401c-863e-3fa280ec3918' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-1c0ab3c2-426f-49eb-bc32-0ce7b0772bcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c0ab3c2-426f-49eb-bc32-0ce7b0772bcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb821d99-af62-4008-954a-9efba7a3a88b' class='xr-var-data-in' type='checkbox'><label for='data-bb821d99-af62-4008-954a-9efba7a3a88b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d08d25ad-20d4-46fa-9f2d-c83f3544bdb0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d08d25ad-20d4-46fa-9f2d-c83f3544bdb0' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-23e999cf-fb73-45f6-a21c-e2da28ee8976' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23e999cf-fb73-45f6-a21c-e2da28ee8976' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00e90006-e0f2-4aad-8866-b3036217cbbf' class='xr-var-data-in' type='checkbox'><label for='data-00e90006-e0f2-4aad-8866-b3036217cbbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -7495,7 +7512,7 @@ <h3>Data Variables<a class="headerlink" href="#data-variables" title="Permalink
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-2ac27c82-1345-422f-909e-3428c3cbdd3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ac27c82-1345-422f-909e-3428c3cbdd3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbfbd894-1f33-4d3d-aae2-f278800fa02a' class='xr-var-data-in' type='checkbox'><label for='data-dbfbd894-1f33-4d3d-aae2-f278800fa02a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-f38b8574-e074-43aa-b5cf-6cd774ca99e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f38b8574-e074-43aa-b5cf-6cd774ca99e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-322abc9d-5958-4654-bc0a-688b29df8058' class='xr-var-data-in' type='checkbox'><label for='data-322abc9d-5958-4654-bc0a-688b29df8058' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -7535,7 +7552,7 @@ <h3>Data Variables<a class="headerlink" href="#data-variables" title="Permalink
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air3</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-41a05c01-1e8b-47c1-9f70-eec9c8f68957' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41a05c01-1e8b-47c1-9f70-eec9c8f68957' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-614e3107-63df-4af5-b85c-3a98c79f1fd0' class='xr-var-data-in' type='checkbox'><label for='data-614e3107-63df-4af5-b85c-3a98c79f1fd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air3</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-1f8693a4-162a-47c6-9203-6738c1914662' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f8693a4-162a-47c6-9203-6738c1914662' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e630398-4dcd-4d85-9e5a-f35c85f03f96' class='xr-var-data-in' type='checkbox'><label for='data-6e630398-4dcd-4d85-9e5a-f35c85f03f96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -7575,20 +7592,20 @@ <h3>Data Variables<a class="headerlink" href="#data-variables" title="Permalink
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db16000a-495e-4c9d-923a-3d59d0819266' class='xr-section-summary-in' type='checkbox'  ><label for='section-db16000a-495e-4c9d-923a-3d59d0819266' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f6653c67-8853-43c2-b524-f3793e24975d' class='xr-index-data-in' type='checkbox'/><label for='index-f6653c67-8853-43c2-b524-f3793e24975d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c28771c9-cfb4-4d3f-8e91-29f30ca45ad5' class='xr-section-summary-in' type='checkbox'  ><label for='section-c28771c9-cfb4-4d3f-8e91-29f30ca45ad5' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d6d16588-805b-4291-9e5a-6b8e76e3c952' class='xr-index-data-in' type='checkbox'/><label for='index-d6d16588-805b-4291-9e5a-6b8e76e3c952' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-950f806d-b007-4c70-b68a-523a3b67014c' class='xr-index-data-in' type='checkbox'/><label for='index-950f806d-b007-4c70-b68a-523a3b67014c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a2a2a062-571b-4763-a01e-d489bc086759' class='xr-index-data-in' type='checkbox'/><label for='index-a2a2a062-571b-4763-a01e-d489bc086759' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c1c459bf-8d04-4889-bb5c-4cca6f44cb89' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c1c459bf-8d04-4889-bb5c-4cca6f44cb89' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-be0c3c1a-2760-44b5-9042-f9d2a045ba05' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-be0c3c1a-2760-44b5-9042-f9d2a045ba05' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="id1">
-<h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headline">#</a></h3>
+<h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this heading">#</a></h3>
 <p>Coordinate variables can be assigned using the <code class="docutils literal notranslate"><span class="pre">coords</span></code> kwarg to <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code>. Here we use <code class="docutils literal notranslate"><span class="pre">date_range</span></code> from pandas to create a time vector</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -7600,6 +7617,10 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3787/2620785341.py:3: FutureWarning: &#39;H&#39; is deprecated and will be removed in a future version, please use &#39;h&#39; instead.
+  coords={&quot;time&quot;: pd.date_range(&quot;2013-01-01&quot;, &quot;2014-12-31 18:00&quot;, freq=&quot;6H&quot;)},
+</pre></div>
+</div>
 <div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
 <defs>
 <symbol id="icon-database" viewBox="0 0 32 32">
@@ -7972,17 +7993,17 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Data variables:
     air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
-    air2     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-879760aa-f947-4f79-bd6e-102b2c7b5509' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-879760aa-f947-4f79-bd6e-102b2c7b5509' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fb4e94e8-8364-4cad-826e-b0a12b9c4840' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fb4e94e8-8364-4cad-826e-b0a12b9c4840' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-da5f87d8-abb2-4128-8138-93ad2edeae2e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-da5f87d8-abb2-4128-8138-93ad2edeae2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-689082c7-5cf7-4ac3-a1ac-09cc268122c6' class='xr-var-data-in' type='checkbox'><label for='data-689082c7-5cf7-4ac3-a1ac-09cc268122c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+    air2     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8b138003-8273-4d93-8a00-8e8e035d91d2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8b138003-8273-4d93-8a00-8e8e035d91d2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-16ce808a-c7a8-4c2a-8de7-44243976a3f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-16ce808a-c7a8-4c2a-8de7-44243976a3f2' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-fbf22e48-7ef0-4df3-ac8e-b156420a2b41' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fbf22e48-7ef0-4df3-ac8e-b156420a2b41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1647a9b-0360-4670-958d-ade3a6523c7c' class='xr-var-data-in' type='checkbox'><label for='data-d1647a9b-0360-4670-958d-ade3a6523c7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-f4a357ef-9e0c-4518-853a-bc6fe1c1af55' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f4a357ef-9e0c-4518-853a-bc6fe1c1af55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2c32387-8538-4dc9-a6ac-2cd3ae24e6a9' class='xr-var-data-in' type='checkbox'><label for='data-d2c32387-8538-4dc9-a6ac-2cd3ae24e6a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-36cde219-caad-4b6a-b935-b0bb1e068aa3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36cde219-caad-4b6a-b935-b0bb1e068aa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c428415a-e61a-4f8d-a434-f150d5bc3304' class='xr-var-data-in' type='checkbox'><label for='data-c428415a-e61a-4f8d-a434-f150d5bc3304' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-a3f78e16-c7ca-46a9-ad39-081f10278b2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3f78e16-c7ca-46a9-ad39-081f10278b2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d6876af-358f-414c-a90c-0a34b2b5bdf7' class='xr-var-data-in' type='checkbox'><label for='data-7d6876af-358f-414c-a90c-0a34b2b5bdf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-69b42dfc-15da-4889-b996-adcde0805de5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69b42dfc-15da-4889-b996-adcde0805de5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8338ac3a-bff6-4946-9247-5c6c3396fc70' class='xr-var-data-in' type='checkbox'><label for='data-8338ac3a-bff6-4946-9247-5c6c3396fc70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-b00a6d88-8ab2-45de-9781-592bf3764493' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b00a6d88-8ab2-45de-9781-592bf3764493' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45b7ae4a-6bbb-4ee6-8eaf-1d4e61b33848' class='xr-var-data-in' type='checkbox'><label for='data-45b7ae4a-6bbb-4ee6-8eaf-1d4e61b33848' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-c40f0224-0778-4b94-9349-7a1f53e08dde' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c40f0224-0778-4b94-9349-7a1f53e08dde' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53670d42-f3f8-4f5a-aaf0-3e0b6c5e0bad' class='xr-var-data-in' type='checkbox'><label for='data-53670d42-f3f8-4f5a-aaf0-3e0b6c5e0bad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e0818ee7-1274-45a0-ab74-665721226091' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e0818ee7-1274-45a0-ab74-665721226091' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-8b7ae615-fe48-4354-b1d6-9f205fb4d18f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b7ae615-fe48-4354-b1d6-9f205fb4d18f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d942045-d48e-495e-b344-e76e3336818e' class='xr-var-data-in' type='checkbox'><label for='data-5d942045-d48e-495e-b344-e76e3336818e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44128436-3399-473d-8e64-882a9e6b6a83' class='xr-section-summary-in' type='checkbox'  checked><label for='section-44128436-3399-473d-8e64-882a9e6b6a83' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-a18086c6-fcec-479b-843e-399b1ec8e446' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a18086c6-fcec-479b-843e-399b1ec8e446' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7260cd86-0139-49e2-99ad-b666c1b637ac' class='xr-var-data-in' type='checkbox'><label for='data-7260cd86-0139-49e2-99ad-b666c1b637ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -8022,7 +8043,7 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-b0cc01aa-0d73-4d1a-9347-68e70f80e551' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0cc01aa-0d73-4d1a-9347-68e70f80e551' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d64d3bb-e90f-4ed7-a0ab-07710fe5474d' class='xr-var-data-in' type='checkbox'><label for='data-5d64d3bb-e90f-4ed7-a0ab-07710fe5474d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-48c29bc3-ef73-4346-b5a0-4723ab5c874b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48c29bc3-ef73-4346-b5a0-4723ab5c874b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d6a226f-5a59-482a-8307-a19e7d7e4ce4' class='xr-var-data-in' type='checkbox'><label for='data-0d6a226f-5a59-482a-8307-a19e7d7e4ce4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -8062,16 +8083,16 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-042a750f-f141-4bba-afb0-88749df93257' class='xr-section-summary-in' type='checkbox'  ><label for='section-042a750f-f141-4bba-afb0-88749df93257' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6ef7a54a-cb8d-43de-9a6d-59cfdb889b10' class='xr-index-data-in' type='checkbox'/><label for='index-6ef7a54a-cb8d-43de-9a6d-59cfdb889b10' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4801bf6-51cf-47c9-bf14-aae7546edc72' class='xr-section-summary-in' type='checkbox'  ><label for='section-c4801bf6-51cf-47c9-bf14-aae7546edc72' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2c6d6899-a643-4b17-aef2-cc98fe3320d9' class='xr-index-data-in' type='checkbox'/><label for='index-2c6d6899-a643-4b17-aef2-cc98fe3320d9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c410237d-9f9d-4391-84c1-f70edda68ac2' class='xr-index-data-in' type='checkbox'/><label for='index-c410237d-9f9d-4391-84c1-f70edda68ac2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-816aed05-f054-4b48-b514-958d32f81693' class='xr-index-data-in' type='checkbox'/><label for='index-816aed05-f054-4b48-b514-958d32f81693' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-69711b09-3efe-4e78-aa54-3f11b6c37f84' class='xr-index-data-in' type='checkbox'/><label for='index-69711b09-3efe-4e78-aa54-3f11b6c37f84' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9f92a5c3-5fd3-4640-8559-a2197e2c21b0' class='xr-index-data-in' type='checkbox'/><label for='index-9f92a5c3-5fd3-4640-8559-a2197e2c21b0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -8082,7 +8103,7 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=&#x27;6H&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ced27b9-4cd0-4a74-b36c-54b1971a6dbf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0ced27b9-4cd0-4a74-b36c-54b1971a6dbf' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=&#x27;6h&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1502fea9-b5bb-445c-bb93-e9fa227590ed' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1502fea9-b5bb-445c-bb93-e9fa227590ed' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Again we can assign coordinate variables after a Dataset has been created.</p>
 <div class="cell docutils container">
@@ -8465,14 +8486,14 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
 Data variables:
     air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
     air2     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
-    air3     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b5b1634a-80b7-40dd-8d08-50abc25737c5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b5b1634a-80b7-40dd-8d08-50abc25737c5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fdfbe7b5-2b77-4935-9380-a83df1a4f95a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fdfbe7b5-2b77-4935-9380-a83df1a4f95a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-6421bb4f-b0df-4784-b68a-b99ca4046dee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6421bb4f-b0df-4784-b68a-b99ca4046dee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26017ffb-7d01-496d-a40e-a0da93f9bb8d' class='xr-var-data-in' type='checkbox'><label for='data-26017ffb-7d01-496d-a40e-a0da93f9bb8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+    air3     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d06cabaf-ee02-4943-b484-d22fc4636a5a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d06cabaf-ee02-4943-b484-d22fc4636a5a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-61adef34-8cf6-4c84-ada7-e1050a68ce6a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61adef34-8cf6-4c84-ada7-e1050a68ce6a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-43585e88-3fc6-476a-aa65-7226b7c1877e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-43585e88-3fc6-476a-aa65-7226b7c1877e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01c9dc9c-4ca7-4a35-8e34-305c9ad4ac02' class='xr-var-data-in' type='checkbox'><label for='data-01c9dc9c-4ca7-4a35-8e34-305c9ad4ac02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-00f9b54e-487a-486e-8a17-b2f5b6ccd691' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-00f9b54e-487a-486e-8a17-b2f5b6ccd691' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a908fb83-7354-488d-87df-418762a19aa8' class='xr-var-data-in' type='checkbox'><label for='data-a908fb83-7354-488d-87df-418762a19aa8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-fd51ca37-e811-418b-8b65-a20d5a707498' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd51ca37-e811-418b-8b65-a20d5a707498' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95afb433-e174-4bc6-8d50-678fc406c648' class='xr-var-data-in' type='checkbox'><label for='data-95afb433-e174-4bc6-8d50-678fc406c648' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-8a52af9d-b2f1-44b0-a1c4-768eb86e6697' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a52af9d-b2f1-44b0-a1c4-768eb86e6697' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8875b16-4afe-462a-9ac0-1329c2114245' class='xr-var-data-in' type='checkbox'><label for='data-b8875b16-4afe-462a-9ac0-1329c2114245' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd617515-4206-4388-8205-ae8fec608480' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bd617515-4206-4388-8205-ae8fec608480' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-0ec418e4-b507-4154-8439-c6e1e02ba1c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ec418e4-b507-4154-8439-c6e1e02ba1c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b137f1ce-b265-458f-9113-aa972b4e2b17' class='xr-var-data-in' type='checkbox'><label for='data-b137f1ce-b265-458f-9113-aa972b4e2b17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-2ff5530c-89b2-4229-a138-961ecaa7cdbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ff5530c-89b2-4229-a138-961ecaa7cdbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-108acb58-4e4d-4672-a7b7-bfe3d112ced2' class='xr-var-data-in' type='checkbox'><label for='data-108acb58-4e4d-4672-a7b7-bfe3d112ced2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bfafb055-04f9-45d7-986b-32b72f5b8d97' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bfafb055-04f9-45d7-986b-32b72f5b8d97' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-00a01f92-afff-4ea0-978b-2d658c0a4f99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00a01f92-afff-4ea0-978b-2d658c0a4f99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-661cb548-b040-4237-91e5-c88ea66eb18f' class='xr-var-data-in' type='checkbox'><label for='data-661cb548-b040-4237-91e5-c88ea66eb18f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -8512,7 +8533,7 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-e2d8bcfc-b15a-410c-95bd-ec6397caacc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2d8bcfc-b15a-410c-95bd-ec6397caacc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2922c911-b3dd-49bb-8bcb-f7b69e9521e3' class='xr-var-data-in' type='checkbox'><label for='data-2922c911-b3dd-49bb-8bcb-f7b69e9521e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-b25a5dfe-482e-4da3-a30b-e8b4dcb333dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b25a5dfe-482e-4da3-a30b-e8b4dcb333dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0575ef20-e1c0-44d1-b465-a8f87945fd7c' class='xr-var-data-in' type='checkbox'><label for='data-0575ef20-e1c0-44d1-b465-a8f87945fd7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -8552,7 +8573,7 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air3</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-d03bcc3b-45d5-4627-ae37-a5078832705d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d03bcc3b-45d5-4627-ae37-a5078832705d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b012f473-a656-44a5-aa5c-cb003dea6aa3' class='xr-var-data-in' type='checkbox'><label for='data-b012f473-a656-44a5-aa5c-cb003dea6aa3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air3</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-ef0635f2-077a-4ee7-a0d6-8e8c563d0438' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef0635f2-077a-4ee7-a0d6-8e8c563d0438' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f2c1b24-ec18-40c5-9eec-96d5c724fe1a' class='xr-var-data-in' type='checkbox'><label for='data-2f2c1b24-ec18-40c5-9eec-96d5c724fe1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -8592,16 +8613,16 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db37dd2c-ed22-4097-84d8-f4713806c58f' class='xr-section-summary-in' type='checkbox'  ><label for='section-db37dd2c-ed22-4097-84d8-f4713806c58f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ebfdd541-978e-45e1-a6bf-9828854473cb' class='xr-index-data-in' type='checkbox'/><label for='index-ebfdd541-978e-45e1-a6bf-9828854473cb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d74eabb2-a11d-4f00-983a-d8b03f1b636b' class='xr-section-summary-in' type='checkbox'  ><label for='section-d74eabb2-a11d-4f00-983a-d8b03f1b636b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e29eb695-689f-49d5-bc93-7e0d090f0eda' class='xr-index-data-in' type='checkbox'/><label for='index-e29eb695-689f-49d5-bc93-7e0d090f0eda' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-469a2257-af97-4513-bda8-c4bd93604cbb' class='xr-index-data-in' type='checkbox'/><label for='index-469a2257-af97-4513-bda8-c4bd93604cbb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9ff50160-8172-47bc-85ec-e0d5cad9d74b' class='xr-index-data-in' type='checkbox'/><label for='index-9ff50160-8172-47bc-85ec-e0d5cad9d74b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-81ab59f3-b740-471e-8ee5-67881103c92b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-81ab59f3-b740-471e-8ee5-67881103c92b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b443a157-5a0b-4226-bb8e-7e19ebc8e303' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b443a157-5a0b-4226-bb8e-7e19ebc8e303' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -8611,6 +8632,10 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3787/664840668.py:1: FutureWarning: &#39;H&#39; is deprecated and will be removed in a future version, please use &#39;h&#39; instead.
+  ds.coords[&quot;time&quot;] = pd.date_range(&quot;2013-01-01&quot;, &quot;2014-12-31 18:00&quot;, freq=&quot;6H&quot;)
+</pre></div>
+</div>
 <div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
 <defs>
 <symbol id="icon-database" viewBox="0 0 32 32">
@@ -8984,17 +9009,17 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
 Data variables:
     air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
     air2     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
-    air3     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bab63c7e-1e1f-4490-9d60-4d631ccfefa3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bab63c7e-1e1f-4490-9d60-4d631ccfefa3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b0eb133d-a38a-45f2-af92-2f1de9d2673e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b0eb133d-a38a-45f2-af92-2f1de9d2673e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-c12e8d6c-d70b-4334-92d2-f76bb681d06a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c12e8d6c-d70b-4334-92d2-f76bb681d06a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ef71a4d-978e-41a4-b727-e16ac143fd27' class='xr-var-data-in' type='checkbox'><label for='data-2ef71a4d-978e-41a4-b727-e16ac143fd27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+    air3     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dbda3957-d1db-4491-b29d-49d9ece0c6e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dbda3957-d1db-4491-b29d-49d9ece0c6e4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-89f45123-548f-49f0-8ba9-50f2c69f77ac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89f45123-548f-49f0-8ba9-50f2c69f77ac' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-aa4473d4-b262-43c6-b4fd-0807da0c8501' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aa4473d4-b262-43c6-b4fd-0807da0c8501' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3f635f7-b2ce-43fe-86ee-8d8e2823a463' class='xr-var-data-in' type='checkbox'><label for='data-c3f635f7-b2ce-43fe-86ee-8d8e2823a463' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-042a8ce8-c69e-46ab-b518-988cb7d86940' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-042a8ce8-c69e-46ab-b518-988cb7d86940' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfbf6975-f04b-4ae2-95cc-e14e43d911c9' class='xr-var-data-in' type='checkbox'><label for='data-bfbf6975-f04b-4ae2-95cc-e14e43d911c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-e9c5232e-8000-4c3c-a631-ea31b8f303d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9c5232e-8000-4c3c-a631-ea31b8f303d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7826469a-0574-4379-8302-f63d04e77e91' class='xr-var-data-in' type='checkbox'><label for='data-7826469a-0574-4379-8302-f63d04e77e91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-806a2918-ce24-48e5-bc52-ad5e00a0c4c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-806a2918-ce24-48e5-bc52-ad5e00a0c4c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7a36aca-98fa-430e-a261-02b0d5629260' class='xr-var-data-in' type='checkbox'><label for='data-e7a36aca-98fa-430e-a261-02b0d5629260' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-e10a66da-8716-44ab-a23a-c0e24233bfe8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e10a66da-8716-44ab-a23a-c0e24233bfe8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e8ae287-2862-45f3-a07b-d628b8e7ef57' class='xr-var-data-in' type='checkbox'><label for='data-9e8ae287-2862-45f3-a07b-d628b8e7ef57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-b2062bf9-07c7-4fbf-9e46-13a0d0401fdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2062bf9-07c7-4fbf-9e46-13a0d0401fdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7d9feb0-5d09-44f7-876b-2858fa291fa1' class='xr-var-data-in' type='checkbox'><label for='data-b7d9feb0-5d09-44f7-876b-2858fa291fa1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-c8388d3e-6878-486f-aa5b-f0013ab2835f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c8388d3e-6878-486f-aa5b-f0013ab2835f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-994547ed-5282-4bbb-b7fa-2cb6306d2266' class='xr-var-data-in' type='checkbox'><label for='data-994547ed-5282-4bbb-b7fa-2cb6306d2266' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c8cbd94c-0b7f-4ce7-adfc-52e6b1c377e5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c8cbd94c-0b7f-4ce7-adfc-52e6b1c377e5' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-66ad871e-c8ef-4dd4-9207-ced39e3ffdb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66ad871e-c8ef-4dd4-9207-ced39e3ffdb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6375974-4ebf-402b-b409-ad7938247dee' class='xr-var-data-in' type='checkbox'><label for='data-f6375974-4ebf-402b-b409-ad7938247dee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8aa88bc6-551a-43ee-b01b-a288f849e043' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8aa88bc6-551a-43ee-b01b-a288f849e043' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-3669501f-b9d2-4a80-ac0c-802f3d95e40d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3669501f-b9d2-4a80-ac0c-802f3d95e40d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5881346-b13b-4bd5-8a03-3d859f83acff' class='xr-var-data-in' type='checkbox'><label for='data-e5881346-b13b-4bd5-8a03-3d859f83acff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -9034,7 +9059,7 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-3a409418-a377-4bce-b67d-4b30142642ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a409418-a377-4bce-b67d-4b30142642ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3416114-2a0a-4a88-a993-9a3e37b8cbd7' class='xr-var-data-in' type='checkbox'><label for='data-a3416114-2a0a-4a88-a993-9a3e37b8cbd7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-286e5e50-e4ad-4b91-bda9-e31b6dc8eaa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-286e5e50-e4ad-4b91-bda9-e31b6dc8eaa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f2ca773-96e6-4770-828d-f14a75b14b67' class='xr-var-data-in' type='checkbox'><label for='data-0f2ca773-96e6-4770-828d-f14a75b14b67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -9074,7 +9099,7 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air3</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-dae4ecd0-ffd3-4bf1-af3b-1af3ae215391' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dae4ecd0-ffd3-4bf1-af3b-1af3ae215391' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-209a7ece-f911-4b99-8acc-ed7b7aa91892' class='xr-var-data-in' type='checkbox'><label for='data-209a7ece-f911-4b99-8acc-ed7b7aa91892' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air3</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-7b9f15a8-4689-4092-9a90-6871246c7bce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b9f15a8-4689-4092-9a90-6871246c7bce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc370368-740f-406b-a414-e7b107e93bf8' class='xr-var-data-in' type='checkbox'><label for='data-bc370368-740f-406b-a414-e7b107e93bf8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -9114,16 +9139,16 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3209f62b-9bbf-442b-8297-a607510d6c48' class='xr-section-summary-in' type='checkbox'  ><label for='section-3209f62b-9bbf-442b-8297-a607510d6c48' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e58100bc-630a-43ed-8db1-8c9e144ff9d9' class='xr-index-data-in' type='checkbox'/><label for='index-e58100bc-630a-43ed-8db1-8c9e144ff9d9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e1a0a3a-622b-4c01-afbe-ab7d708ec956' class='xr-section-summary-in' type='checkbox'  ><label for='section-7e1a0a3a-622b-4c01-afbe-ab7d708ec956' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2b5139b0-e78d-4f89-bafd-ea0915861522' class='xr-index-data-in' type='checkbox'/><label for='index-2b5139b0-e78d-4f89-bafd-ea0915861522' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-01ef49e3-872e-4d9f-b0a4-b21f3ed6ebbe' class='xr-index-data-in' type='checkbox'/><label for='index-01ef49e3-872e-4d9f-b0a4-b21f3ed6ebbe' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fc5206e1-663f-4f03-9849-5bad2bdcd384' class='xr-index-data-in' type='checkbox'/><label for='index-fc5206e1-663f-4f03-9849-5bad2bdcd384' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e1908c46-8672-4eae-bee3-d6c1009b6930' class='xr-index-data-in' type='checkbox'/><label for='index-e1908c46-8672-4eae-bee3-d6c1009b6930' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-661bed88-70f2-436c-94f9-7cc346f24d92' class='xr-index-data-in' type='checkbox'/><label for='index-661bed88-70f2-436c-94f9-7cc346f24d92' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -9134,11 +9159,11 @@ <h3>Coordinates<a class="headerlink" href="#id1" title="Permalink to this headli
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=&#x27;6H&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ba27caf-120f-42b1-a8a8-bdaabcf65eb1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3ba27caf-120f-42b1-a8a8-bdaabcf65eb1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=&#x27;6h&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88dada3d-a270-41a2-b9e8-efe328125bc1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-88dada3d-a270-41a2-b9e8-efe328125bc1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="id2">
-<h3>Attributes<a class="headerlink" href="#id2" title="Permalink to this headline">#</a></h3>
+<h3>Attributes<a class="headerlink" href="#id2" title="Permalink to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">xr</span><span class="o">.</span><span class="n">Dataset</span><span class="p">(</span>
@@ -9150,6 +9175,10 @@ <h3>Attributes<a class="headerlink" href="#id2" title="Permalink to this headlin
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3787/3710195814.py:3: FutureWarning: &#39;H&#39; is deprecated and will be removed in a future version, please use &#39;h&#39; instead.
+  coords={&quot;time&quot;: pd.date_range(&quot;2013-01-01&quot;, &quot;2014-12-31 18:00&quot;, freq=&quot;6H&quot;)},
+</pre></div>
+</div>
 <div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
 <defs>
 <symbol id="icon-database" viewBox="0 0 32 32">
@@ -9524,17 +9553,17 @@ <h3>Attributes<a class="headerlink" href="#id2" title="Permalink to this headlin
     air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
     air2     (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
 Attributes:
-    key0:     value0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-91c01745-d9a9-4b4d-98d6-8a39a261f0e9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-91c01745-d9a9-4b4d-98d6-8a39a261f0e9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-057632f0-d637-4190-b72d-0c0fc6d3b69e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-057632f0-d637-4190-b72d-0c0fc6d3b69e' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-492fadc6-4970-46de-9fa2-6ca6a8498a3a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-492fadc6-4970-46de-9fa2-6ca6a8498a3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdb7d2a6-8ae5-452f-9acd-d59bc458de2d' class='xr-var-data-in' type='checkbox'><label for='data-fdb7d2a6-8ae5-452f-9acd-d59bc458de2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+    key0:     value0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ec57c740-b8f4-4154-9424-8b6f8c0b7b68' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ec57c740-b8f4-4154-9424-8b6f8c0b7b68' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9b2692a5-d8ae-4295-a233-ff5020eba40c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b2692a5-d8ae-4295-a233-ff5020eba40c' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-0628375c-8fab-44f0-9993-3945941a7431' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0628375c-8fab-44f0-9993-3945941a7431' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b281038c-c1a6-4f96-b8d8-1ba928dc1a62' class='xr-var-data-in' type='checkbox'><label for='data-b281038c-c1a6-4f96-b8d8-1ba928dc1a62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-c510ac86-37e1-44f0-8e49-0596961d1ec3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c510ac86-37e1-44f0-8e49-0596961d1ec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de2df5d2-3519-41a7-a811-c1b2abd4bf1a' class='xr-var-data-in' type='checkbox'><label for='data-de2df5d2-3519-41a7-a811-c1b2abd4bf1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+       325. , 327.5, 330. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-68a9fe8c-7c19-40c3-98fd-207212788bee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68a9fe8c-7c19-40c3-98fd-207212788bee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45a32b7b-5edd-421f-bb32-95cebda6d189' class='xr-var-data-in' type='checkbox'><label for='data-45a32b7b-5edd-421f-bb32-95cebda6d189' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-61431e0b-1bca-4575-bbbb-511097af8d94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61431e0b-1bca-4575-bbbb-511097af8d94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-686d0330-6769-40a2-ab9b-21279741110f' class='xr-var-data-in' type='checkbox'><label for='data-686d0330-6769-40a2-ab9b-21279741110f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-b81330b9-b460-450d-8fc4-c7d87a3ff0e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b81330b9-b460-450d-8fc4-c7d87a3ff0e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a184ad5e-7c25-4c7c-8520-cb1a9745860e' class='xr-var-data-in' type='checkbox'><label for='data-a184ad5e-7c25-4c7c-8520-cb1a9745860e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>itime</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 2916 2917 2918 2919</div><input id='attrs-41b068f9-d88c-4079-8068-c0154a665852' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41b068f9-d88c-4079-8068-c0154a665852' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbc577f4-8c63-4e9a-8760-cbe3dff88974' class='xr-var-data-in' type='checkbox'><label for='data-fbc577f4-8c63-4e9a-8760-cbe3dff88974' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>name :</span></dt><dd>value</dd></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 2917, 2918, 2919])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-34249322-0be2-4fc3-aff3-ac13527e5ea3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-34249322-0be2-4fc3-aff3-ac13527e5ea3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecec590f-8a93-4ed0-bb6d-f2c07f49919e' class='xr-var-data-in' type='checkbox'><label for='data-ecec590f-8a93-4ed0-bb6d-f2c07f49919e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-700e48a7-7769-4a52-9d7d-99847374e4c6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-700e48a7-7769-4a52-9d7d-99847374e4c6' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-5cab06a3-d7da-4bc8-8716-e463e53faeba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cab06a3-d7da-4bc8-8716-e463e53faeba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c50fd967-037e-4a38-a093-85136d8a7bde' class='xr-var-data-in' type='checkbox'><label for='data-c50fd967-037e-4a38-a093-85136d8a7bde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7824da83-33e1-4469-afa1-b6b18df9ab7a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7824da83-33e1-4469-afa1-b6b18df9ab7a' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-da1c53b9-5072-440a-8582-b2e38f8a3f6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da1c53b9-5072-440a-8582-b2e38f8a3f6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-807c7256-dfa4-436c-899e-7a501b248d7a' class='xr-var-data-in' type='checkbox'><label for='data-807c7256-dfa4-436c-899e-7a501b248d7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -9574,7 +9603,7 @@ <h3>Attributes<a class="headerlink" href="#id2" title="Permalink to this headlin
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-34440965-f0e2-4364-9432-90aaa3b957f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34440965-f0e2-4364-9432-90aaa3b957f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04db82ff-ebc5-433e-948d-3f9864919c2f' class='xr-var-data-in' type='checkbox'><label for='data-04db82ff-ebc5-433e-948d-3f9864919c2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+         295.69   ]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>air2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-609330d5-1208-453f-8fa0-2787d235c01d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-609330d5-1208-453f-8fa0-2787d235c01d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c06eeda-0d06-418a-a7bd-bd3111216b1b' class='xr-var-data-in' type='checkbox'><label for='data-3c06eeda-0d06-418a-a7bd-bd3111216b1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>attribute :</span></dt><dd>hello</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -9614,16 +9643,16 @@ <h3>Attributes<a class="headerlink" href="#id2" title="Permalink to this headlin
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3db23b6-5caf-4c3f-9d01-352485b13917' class='xr-section-summary-in' type='checkbox'  ><label for='section-a3db23b6-5caf-4c3f-9d01-352485b13917' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ce04406f-700f-4c20-af35-00e66ad2a8a2' class='xr-index-data-in' type='checkbox'/><label for='index-ce04406f-700f-4c20-af35-00e66ad2a8a2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ed474f75-73d9-44b1-adda-c64dcb4236d0' class='xr-section-summary-in' type='checkbox'  ><label for='section-ed474f75-73d9-44b1-adda-c64dcb4236d0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ee2a27f2-ff58-446c-85f5-24e2ffec546d' class='xr-index-data-in' type='checkbox'/><label for='index-ee2a27f2-ff58-446c-85f5-24e2ffec546d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9c3fce80-f6ab-458e-9225-73babf0c9a9c' class='xr-index-data-in' type='checkbox'/><label for='index-9c3fce80-f6ab-458e-9225-73babf0c9a9c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f5b76669-d99c-43cf-aac9-7fc670ef77f8' class='xr-index-data-in' type='checkbox'/><label for='index-f5b76669-d99c-43cf-aac9-7fc670ef77f8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-53060436-2ab9-4332-b11a-85d9231485fe' class='xr-index-data-in' type='checkbox'/><label for='index-53060436-2ab9-4332-b11a-85d9231485fe' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b2115c0e-2c50-4ddb-a770-f3fa406a1406' class='xr-index-data-in' type='checkbox'/><label for='index-b2115c0e-2c50-4ddb-a770-f3fa406a1406' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -9634,7 +9663,7 @@ <h3>Attributes<a class="headerlink" href="#id2" title="Permalink to this headlin
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=&#x27;6H&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-087b5c50-00cc-4f6a-bc2c-3883b31935ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-087b5c50-00cc-4f6a-bc2c-3883b31935ea' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>key0 :</span></dt><dd>value0</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=&#x27;6h&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fd4c374d-8515-4500-bc23-1cbbf834bc6d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd4c374d-8515-4500-bc23-1cbbf834bc6d' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>key0 :</span></dt><dd>value0</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -9645,7 +9674,7 @@ <h3>Attributes<a class="headerlink" href="#id2" title="Permalink to this headlin
 </div>
 </section>
 <section id="id3">
-<h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline">#</a></h3>
+<h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this heading">#</a></h3>
 <ol class="arabic simple">
 <li><p>create a Dataset with two variables along <code class="docutils literal notranslate"><span class="pre">latitude</span></code> and <code class="docutils literal notranslate"><span class="pre">longitude</span></code>:
 <code class="docutils literal notranslate"><span class="pre">height</span></code> and <code class="docutils literal notranslate"><span class="pre">gravity_anomaly</span></code></p></li>
@@ -10049,7 +10078,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
 Dimensions without coordinates: latitude, longitude
 Data variables:
     height           (latitude, longitude) float64 13.55 87.99 ... 74.78 241.7
-    gravity_anomaly  (latitude, longitude) float64 176.5 24.42 ... -39.73 -153.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2b8b9fb4-b129-4cf5-8dd2-e7efd782ac26' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b8b9fb4-b129-4cf5-8dd2-e7efd782ac26' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>latitude</span>: 180</li><li><span>longitude</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b986c555-c787-4405-a1e2-dc2df4ef2330' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b986c555-c787-4405-a1e2-dc2df4ef2330' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-cecb8ab2-ac2e-48f8-893b-c3783e3da73b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cecb8ab2-ac2e-48f8-893b-c3783e3da73b' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.55 87.99 159.5 ... 74.78 241.7</div><input id='attrs-63b53e10-9977-44ed-b190-00c594e7d8a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63b53e10-9977-44ed-b190-00c594e7d8a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd948508-7dc5-47c3-b583-5f7dc2bf22ac' class='xr-var-data-in' type='checkbox'><label for='data-bd948508-7dc5-47c3-b583-5f7dc2bf22ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 13.54691872,  87.99273786, 159.54868488, ..., 316.35388169,
+    gravity_anomaly  (latitude, longitude) float64 176.5 24.42 ... -39.73 -153.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-941e34af-af32-4f8f-9bb4-4f20ba64cd39' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-941e34af-af32-4f8f-9bb4-4f20ba64cd39' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>latitude</span>: 180</li><li><span>longitude</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0d71c68a-f722-493b-9ca1-33dd3c6c91d2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0d71c68a-f722-493b-9ca1-33dd3c6c91d2' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-cf582504-c206-4ed3-adec-043b6bfcb1bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cf582504-c206-4ed3-adec-043b6bfcb1bb' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.55 87.99 159.5 ... 74.78 241.7</div><input id='attrs-e384060c-ec01-40ab-9b3f-8a022fa809b7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e384060c-ec01-40ab-9b3f-8a022fa809b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-430eccce-4f87-494b-ac6c-b6cf154d08ba' class='xr-var-data-in' type='checkbox'><label for='data-430eccce-4f87-494b-ac6c-b6cf154d08ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 13.54691872,  87.99273786, 159.54868488, ..., 316.35388169,
         385.05054367,  79.52141227],
        [237.64840474, 134.66282006, 283.89118403, ..., 325.11509026,
          98.6911408 , 326.69426325],
@@ -10061,7 +10090,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
        [183.88007125, 268.54517733,  17.19731571, ...,  86.68732062,
         256.25922254,  67.89244805],
        [333.9030059 , 298.54710121, 229.92920942, ...,  53.94815534,
-         74.78297579, 241.6784466 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravity_anomaly</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>176.5 24.42 ... -39.73 -153.0</div><input id='attrs-f01797bd-aa69-496b-ac29-a4abd1d3b980' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f01797bd-aa69-496b-ac29-a4abd1d3b980' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-201d7873-67c8-40cb-8865-bd0f8b0c651d' class='xr-var-data-in' type='checkbox'><label for='data-201d7873-67c8-40cb-8865-bd0f8b0c651d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 176.46655942,   24.42247378, -164.59062911, ..., -127.10433047,
+         74.78297579, 241.6784466 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravity_anomaly</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>176.5 24.42 ... -39.73 -153.0</div><input id='attrs-70ad41a1-5670-4911-a300-a3b01c111d83' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-70ad41a1-5670-4911-a300-a3b01c111d83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dafe6430-0eae-43fa-b6fe-8d0b9cf67ac9' class='xr-var-data-in' type='checkbox'><label for='data-dafe6430-0eae-43fa-b6fe-8d0b9cf67ac9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 176.46655942,   24.42247378, -164.59062911, ..., -127.10433047,
          135.65092712,  155.35726592],
        [-189.54627636, -183.30638727, -139.59606836, ...,  -90.39018625,
            1.40290718,   82.57029248],
@@ -10073,7 +10102,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
        [ -77.32744202, -111.60989287,  161.84825017, ...,  158.40898055,
           64.03978768, -133.18816444],
        [-138.90826174,  -59.16624227,  -76.52533648, ..., -110.57116465,
-         -39.72632836, -153.01701111]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b7fdd76-cb7b-49af-84b8-2f8bce03b50d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1b7fdd76-cb7b-49af-84b8-2f8bce03b50d' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-90564557-9a8c-4b6d-8bf4-ecbb381f9fbb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-90564557-9a8c-4b6d-8bf4-ecbb381f9fbb' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+         -39.72632836, -153.01701111]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a81c37fb-dc6c-4fe0-b403-7fdcf596432e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a81c37fb-dc6c-4fe0-b403-7fdcf596432e' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f933c4af-b89f-4956-b723-411bfbfc256d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f933c4af-b89f-4956-b723-411bfbfc256d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 <ol class="arabic simple" start="2">
@@ -10469,7 +10498,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
   * longitude        (longitude) int64 -180 -179 -178 -177 ... 176 177 178 179
 Data variables:
     height           (latitude, longitude) float64 13.55 87.99 ... 74.78 241.7
-    gravity_anomaly  (latitude, longitude) float64 176.5 24.42 ... -39.73 -153.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-df0c34e3-6690-40b9-8816-21d2944a529f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-df0c34e3-6690-40b9-8816-21d2944a529f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 180</li><li><span class='xr-has-index'>longitude</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b1298c68-b24a-4bc4-ba37-306a03db6fd3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b1298c68-b24a-4bc4-ba37-306a03db6fd3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-90 -89 -88 -87 -86 ... 86 87 88 89</div><input id='attrs-d168b18b-2b8a-4ec7-9f2a-e13556f08761' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d168b18b-2b8a-4ec7-9f2a-e13556f08761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3186b6b-db70-47e3-931d-b06512a29d5f' class='xr-var-data-in' type='checkbox'><label for='data-b3186b6b-db70-47e3-931d-b06512a29d5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81, -80, -79, -78, -77,
+    gravity_anomaly  (latitude, longitude) float64 176.5 24.42 ... -39.73 -153.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b9edc88a-0697-42ad-ae07-459e28f999f3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b9edc88a-0697-42ad-ae07-459e28f999f3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 180</li><li><span class='xr-has-index'>longitude</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d618f875-10cf-4bc5-b4bc-150b32fc0a5f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d618f875-10cf-4bc5-b4bc-150b32fc0a5f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-90 -89 -88 -87 -86 ... 86 87 88 89</div><input id='attrs-41841f45-b49b-4931-951d-ac220db4903e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-41841f45-b49b-4931-951d-ac220db4903e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98fe3d2b-397b-49eb-870d-4b8ae0e93961' class='xr-var-data-in' type='checkbox'><label for='data-98fe3d2b-397b-49eb-870d-4b8ae0e93961' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81, -80, -79, -78, -77,
        -76, -75, -74, -73, -72, -71, -70, -69, -68, -67, -66, -65, -64, -63,
        -62, -61, -60, -59, -58, -57, -56, -55, -54, -53, -52, -51, -50, -49,
        -48, -47, -46, -45, -44, -43, -42, -41, -40, -39, -38, -37, -36, -35,
@@ -10481,7 +10510,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
         36,  37,  38,  39,  40,  41,  42,  43,  44,  45,  46,  47,  48,  49,
         50,  51,  52,  53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,
         64,  65,  66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,
-        78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-180 -179 -178 -177 ... 177 178 179</div><input id='attrs-a493abd3-cdf4-44f6-8242-9320d2295973' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a493abd3-cdf4-44f6-8242-9320d2295973' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-028f1019-8b4c-45c7-b2bc-d20b06c991f0' class='xr-var-data-in' type='checkbox'><label for='data-028f1019-8b4c-45c7-b2bc-d20b06c991f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-180, -179, -178, ...,  177,  178,  179])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-550de799-39c6-4fe4-9538-7dfd7b1a7b8e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-550de799-39c6-4fe4-9538-7dfd7b1a7b8e' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.55 87.99 159.5 ... 74.78 241.7</div><input id='attrs-e9593daf-092b-44fd-8a4d-54003ab42f0a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9593daf-092b-44fd-8a4d-54003ab42f0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b761fbc0-8f54-41d7-839e-bce06141b257' class='xr-var-data-in' type='checkbox'><label for='data-b761fbc0-8f54-41d7-839e-bce06141b257' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 13.54691872,  87.99273786, 159.54868488, ..., 316.35388169,
+        78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-180 -179 -178 -177 ... 177 178 179</div><input id='attrs-0e7276db-85eb-4c68-be2d-9b2e255c273c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0e7276db-85eb-4c68-be2d-9b2e255c273c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b78611c-7e2b-47e5-89c7-dd8938f62c9b' class='xr-var-data-in' type='checkbox'><label for='data-8b78611c-7e2b-47e5-89c7-dd8938f62c9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-180, -179, -178, ...,  177,  178,  179])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-38a3cb31-10f3-40f9-adab-504f4b3417d4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-38a3cb31-10f3-40f9-adab-504f4b3417d4' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.55 87.99 159.5 ... 74.78 241.7</div><input id='attrs-3e37d92f-bc73-491a-a4ad-706d96c0cc42' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3e37d92f-bc73-491a-a4ad-706d96c0cc42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bb1721d-408f-4516-a80a-90261cbfaa46' class='xr-var-data-in' type='checkbox'><label for='data-7bb1721d-408f-4516-a80a-90261cbfaa46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 13.54691872,  87.99273786, 159.54868488, ..., 316.35388169,
         385.05054367,  79.52141227],
        [237.64840474, 134.66282006, 283.89118403, ..., 325.11509026,
          98.6911408 , 326.69426325],
@@ -10493,7 +10522,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
        [183.88007125, 268.54517733,  17.19731571, ...,  86.68732062,
         256.25922254,  67.89244805],
        [333.9030059 , 298.54710121, 229.92920942, ...,  53.94815534,
-         74.78297579, 241.6784466 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravity_anomaly</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>176.5 24.42 ... -39.73 -153.0</div><input id='attrs-12a8ee5e-a7e9-4810-8113-cd2b89fea945' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12a8ee5e-a7e9-4810-8113-cd2b89fea945' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-873c7125-f082-4e21-beb0-97e01c9de61d' class='xr-var-data-in' type='checkbox'><label for='data-873c7125-f082-4e21-beb0-97e01c9de61d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 176.46655942,   24.42247378, -164.59062911, ..., -127.10433047,
+         74.78297579, 241.6784466 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravity_anomaly</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>176.5 24.42 ... -39.73 -153.0</div><input id='attrs-8893e081-da27-4cca-8a6b-eb087061e6e6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8893e081-da27-4cca-8a6b-eb087061e6e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bae9ebbe-83ed-41f3-976a-37c82d8293df' class='xr-var-data-in' type='checkbox'><label for='data-bae9ebbe-83ed-41f3-976a-37c82d8293df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 176.46655942,   24.42247378, -164.59062911, ..., -127.10433047,
          135.65092712,  155.35726592],
        [-189.54627636, -183.30638727, -139.59606836, ...,  -90.39018625,
            1.40290718,   82.57029248],
@@ -10505,13 +10534,13 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
        [ -77.32744202, -111.60989287,  161.84825017, ...,  158.40898055,
           64.03978768, -133.18816444],
        [-138.90826174,  -59.16624227,  -76.52533648, ..., -110.57116465,
-         -39.72632836, -153.01701111]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77099a51-b6b2-4b97-94f5-4eb113768a27' class='xr-section-summary-in' type='checkbox'  ><label for='section-77099a51-b6b2-4b97-94f5-4eb113768a27' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4f77f71b-7379-4e9d-8083-55575fe316cb' class='xr-index-data-in' type='checkbox'/><label for='index-4f77f71b-7379-4e9d-8083-55575fe316cb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81,
+         -39.72632836, -153.01701111]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f4878d37-d910-4a64-a86b-3abfbb531d84' class='xr-section-summary-in' type='checkbox'  ><label for='section-f4878d37-d910-4a64-a86b-3abfbb531d84' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3161f4ca-585f-4d1b-bcee-ac0507ded8ac' class='xr-index-data-in' type='checkbox'/><label for='index-3161f4ca-585f-4d1b-bcee-ac0507ded8ac' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81,
        ...
         80,  81,  82,  83,  84,  85,  86,  87,  88,  89],
-      dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dedfcf17-1ea7-427d-892a-73d25715d3c1' class='xr-index-data-in' type='checkbox'/><label for='index-dedfcf17-1ea7-427d-892a-73d25715d3c1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-180, -179, -178, -177, -176, -175, -174, -173, -172, -171,
+      dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7dcabab4-f197-437d-bb5f-07899932ee97' class='xr-index-data-in' type='checkbox'/><label for='index-7dcabab4-f197-437d-bb5f-07899932ee97' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-180, -179, -178, -177, -176, -175, -174, -173, -172, -171,
        ...
         170,  171,  172,  173,  174,  175,  176,  177,  178,  179],
-      dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5fb90bec-857c-4175-9f0b-9a37563ceb5a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5fb90bec-857c-4175-9f0b-9a37563ceb5a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cbafbda-9015-402d-b188-247122a42cd9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6cbafbda-9015-402d-b188-247122a42cd9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <ol class="arabic simple" start="3">
 <li><p>add metadata to coordinates and variables:</p></li>
@@ -10923,7 +10952,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
   * longitude        (longitude) int64 -180 -179 -178 -177 ... 176 177 178 179
 Data variables:
     height           (latitude, longitude) float64 13.55 87.99 ... 74.78 241.7
-    gravity_anomaly  (latitude, longitude) float64 176.5 24.42 ... -39.73 -153.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5ab2bdb2-099c-4e69-8afb-7f8ef41150e1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5ab2bdb2-099c-4e69-8afb-7f8ef41150e1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 180</li><li><span class='xr-has-index'>longitude</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4d0bd7ec-ddf3-4abd-af24-711ec6b447f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4d0bd7ec-ddf3-4abd-af24-711ec6b447f1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-90 -89 -88 -87 -86 ... 86 87 88 89</div><input id='attrs-d1fcf0c9-9bf2-43d5-b1f1-97c51c7a4012' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1fcf0c9-9bf2-43d5-b1f1-97c51c7a4012' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-110847bc-42e1-49d8-a513-ddc29a563f9f' class='xr-var-data-in' type='checkbox'><label for='data-110847bc-42e1-49d8-a513-ddc29a563f9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>type :</span></dt><dd>geodetic</dd></dl></div><div class='xr-var-data'><pre>array([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81, -80, -79, -78, -77,
+    gravity_anomaly  (latitude, longitude) float64 176.5 24.42 ... -39.73 -153.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c6f3da76-b7e9-4cde-b941-2c00a824fe94' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c6f3da76-b7e9-4cde-b941-2c00a824fe94' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 180</li><li><span class='xr-has-index'>longitude</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b8137911-7ea9-4970-b5f4-c1c48d7667ae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b8137911-7ea9-4970-b5f4-c1c48d7667ae' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-90 -89 -88 -87 -86 ... 86 87 88 89</div><input id='attrs-0715b93e-fcf8-4143-8389-0ca5564505d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0715b93e-fcf8-4143-8389-0ca5564505d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e573df0b-e0e7-4f9e-a1be-5892218dceef' class='xr-var-data-in' type='checkbox'><label for='data-e573df0b-e0e7-4f9e-a1be-5892218dceef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>type :</span></dt><dd>geodetic</dd></dl></div><div class='xr-var-data'><pre>array([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81, -80, -79, -78, -77,
        -76, -75, -74, -73, -72, -71, -70, -69, -68, -67, -66, -65, -64, -63,
        -62, -61, -60, -59, -58, -57, -56, -55, -54, -53, -52, -51, -50, -49,
        -48, -47, -46, -45, -44, -43, -42, -41, -40, -39, -38, -37, -36, -35,
@@ -10935,7 +10964,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
         36,  37,  38,  39,  40,  41,  42,  43,  44,  45,  46,  47,  48,  49,
         50,  51,  52,  53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,
         64,  65,  66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,
-        78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-180 -179 -178 -177 ... 177 178 179</div><input id='attrs-b522fc80-9a40-46d8-a642-86b6eb79a743' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b522fc80-9a40-46d8-a642-86b6eb79a743' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c170700e-56ae-4756-847f-b52fd4d3cf5e' class='xr-var-data-in' type='checkbox'><label for='data-c170700e-56ae-4756-847f-b52fd4d3cf5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>prime_meridian :</span></dt><dd>greenwich</dd></dl></div><div class='xr-var-data'><pre>array([-180, -179, -178, ...,  177,  178,  179])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db2b3144-78b9-4755-baef-547d9fc2dff9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-db2b3144-78b9-4755-baef-547d9fc2dff9' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.55 87.99 159.5 ... 74.78 241.7</div><input id='attrs-bb447507-03a3-4d53-b718-f04b4c1d4038' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb447507-03a3-4d53-b718-f04b4c1d4038' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c42d86fb-4a25-4cb3-9f40-0a5a36146379' class='xr-var-data-in' type='checkbox'><label for='data-c42d86fb-4a25-4cb3-9f40-0a5a36146379' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ellipsoid :</span></dt><dd>wgs84</dd></dl></div><div class='xr-var-data'><pre>array([[ 13.54691872,  87.99273786, 159.54868488, ..., 316.35388169,
+        78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-180 -179 -178 -177 ... 177 178 179</div><input id='attrs-79ae64af-689c-43be-b655-1d1f390675d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79ae64af-689c-43be-b655-1d1f390675d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38b5ed66-eb3a-4f7b-84b9-2ebaa595c97b' class='xr-var-data-in' type='checkbox'><label for='data-38b5ed66-eb3a-4f7b-84b9-2ebaa595c97b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>prime_meridian :</span></dt><dd>greenwich</dd></dl></div><div class='xr-var-data'><pre>array([-180, -179, -178, ...,  177,  178,  179])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d126f3d8-930d-425b-8799-b28e95a64e43' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d126f3d8-930d-425b-8799-b28e95a64e43' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>height</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>13.55 87.99 159.5 ... 74.78 241.7</div><input id='attrs-abaa3664-46d8-42d8-8ff2-989028d0be3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abaa3664-46d8-42d8-8ff2-989028d0be3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d97c7c6b-59b1-4876-9546-ca63b63b429b' class='xr-var-data-in' type='checkbox'><label for='data-d97c7c6b-59b1-4876-9546-ca63b63b429b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ellipsoid :</span></dt><dd>wgs84</dd></dl></div><div class='xr-var-data'><pre>array([[ 13.54691872,  87.99273786, 159.54868488, ..., 316.35388169,
         385.05054367,  79.52141227],
        [237.64840474, 134.66282006, 283.89118403, ..., 325.11509026,
          98.6911408 , 326.69426325],
@@ -10947,7 +10976,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
        [183.88007125, 268.54517733,  17.19731571, ...,  86.68732062,
         256.25922254,  67.89244805],
        [333.9030059 , 298.54710121, 229.92920942, ...,  53.94815534,
-         74.78297579, 241.6784466 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravity_anomaly</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>176.5 24.42 ... -39.73 -153.0</div><input id='attrs-8fcad9f2-b889-4a96-aa84-073e7b625e26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fcad9f2-b889-4a96-aa84-073e7b625e26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c5ee425-be53-48db-ba41-8e50582af9ba' class='xr-var-data-in' type='checkbox'><label for='data-6c5ee425-be53-48db-ba41-8e50582af9ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ellipsoid :</span></dt><dd>grs80</dd></dl></div><div class='xr-var-data'><pre>array([[ 176.46655942,   24.42247378, -164.59062911, ..., -127.10433047,
+         74.78297579, 241.6784466 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gravity_anomaly</span></div><div class='xr-var-dims'>(latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>176.5 24.42 ... -39.73 -153.0</div><input id='attrs-62eadba1-50e0-443b-af69-dbe653725862' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62eadba1-50e0-443b-af69-dbe653725862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c855b55-c114-404c-8ff4-6c1d609d3544' class='xr-var-data-in' type='checkbox'><label for='data-8c855b55-c114-404c-8ff4-6c1d609d3544' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>ellipsoid :</span></dt><dd>grs80</dd></dl></div><div class='xr-var-data'><pre>array([[ 176.46655942,   24.42247378, -164.59062911, ..., -127.10433047,
          135.65092712,  155.35726592],
        [-189.54627636, -183.30638727, -139.59606836, ...,  -90.39018625,
            1.40290718,   82.57029248],
@@ -10959,13 +10988,13 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
        [ -77.32744202, -111.60989287,  161.84825017, ...,  158.40898055,
           64.03978768, -133.18816444],
        [-138.90826174,  -59.16624227,  -76.52533648, ..., -110.57116465,
-         -39.72632836, -153.01701111]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3188d7c6-9e4f-4f7b-a33b-e46bf4cc01b3' class='xr-section-summary-in' type='checkbox'  ><label for='section-3188d7c6-9e4f-4f7b-a33b-e46bf4cc01b3' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c6cc82b9-69dd-4651-a434-6d494ec7ef0b' class='xr-index-data-in' type='checkbox'/><label for='index-c6cc82b9-69dd-4651-a434-6d494ec7ef0b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81,
+         -39.72632836, -153.01701111]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3ebc7d96-45ae-463a-be0e-2f469c44bd4f' class='xr-section-summary-in' type='checkbox'  ><label for='section-3ebc7d96-45ae-463a-be0e-2f469c44bd4f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8a4869db-5d6c-46d9-beb6-d019e732feae' class='xr-index-data-in' type='checkbox'/><label for='index-8a4869db-5d6c-46d9-beb6-d019e732feae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-90, -89, -88, -87, -86, -85, -84, -83, -82, -81,
        ...
         80,  81,  82,  83,  84,  85,  86,  87,  88,  89],
-      dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-047bc795-7f93-4fda-a6fd-29780d287006' class='xr-index-data-in' type='checkbox'/><label for='index-047bc795-7f93-4fda-a6fd-29780d287006' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-180, -179, -178, -177, -176, -175, -174, -173, -172, -171,
+      dtype=&#x27;int64&#x27;, name=&#x27;latitude&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-790870b8-5662-4fee-89ab-2d82dffb9160' class='xr-index-data-in' type='checkbox'/><label for='index-790870b8-5662-4fee-89ab-2d82dffb9160' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-180, -179, -178, -177, -176, -175, -174, -173, -172, -171,
        ...
         170,  171,  172,  173,  174,  175,  176,  177,  178,  179],
-      dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-06cb0db4-ec72-4252-85a5-d317eb4406ce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-06cb0db4-ec72-4252-85a5-d317eb4406ce' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;int64&#x27;, name=&#x27;longitude&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a8d2e9fc-280c-439f-97c2-fe9af7ca227b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a8d2e9fc-280c-439f-97c2-fe9af7ca227b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 </section>
@@ -10997,11 +11026,10 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
        href="01_datastructures.html"
@@ -11021,10 +11049,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
       </div>
       <i class="fa-solid fa-angle-right"></i>
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@@ -11033,6 +11058,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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   <div class="page-toc tocsection onthispage">
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@@ -11075,6 +11101,7 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
   
   <div class="footer-item">
     
+
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       © Copyright 2023.
@@ -11101,8 +11128,8 @@ <h3>Exercises<a class="headerlink" href="#id3" title="Permalink to this headline
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/fundamentals/01.1_io.html b/fundamentals/01.1_io.html
index acb75e1f..a9c2f874 100644
--- a/fundamentals/01.1_io.html
+++ b/fundamentals/01.1_io.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../_static/styles/bootstrap.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
-  <link href="../_static/vendor/fontawesome/6.1.2/css/all.min.css?digest=e353d410970836974a52" rel="stylesheet" />
-  <link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.1.2/webfonts/fa-solid-900.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.1.2/webfonts/fa-brands-400.woff2" />
-<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
     <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
     <link rel="stylesheet" href="../_static/styles/sphinx-book-theme.css?digest=14f4ca6b54d191a8c7657f6c759bf11a5fb86285" type="text/css" />
@@ -40,12 +40,14 @@
     <link rel="stylesheet" type="text/css" href="../_static/design-style.4045f2051d55cab465a707391d5b2007.min.css" />
   
   <!-- Pre-loaded scripts that we'll load fully later -->
-  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=e353d410970836974a52" />
-<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
     <script src="../_static/jquery.js"></script>
     <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../_static/doctools.js"></script>
     <script src="../_static/clipboard.min.js"></script>
     <script src="../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
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@@ -514,10 +531,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="reading-and-writing-files">
-<h1>Reading and writing files<a class="headerlink" href="#reading-and-writing-files" title="Permalink to this headline">#</a></h1>
+<h1>Reading and writing files<a class="headerlink" href="#reading-and-writing-files" title="Permalink to this heading">#</a></h1>
 <p>One of Xarray’s most widely used features is its ability to <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/io.html">read from and write
 to a variety of data formats</a>.
 For example, Xarray can read the following formats using <code class="docutils literal notranslate"><span class="pre">open_dataset</span></code>/<code class="docutils literal notranslate"><span class="pre">open_mfdataset</span></code>:</p>
@@ -534,7 +551,7 @@ <h1>Reading and writing files<a class="headerlink" href="#reading-and-writing-fi
 </ul>
 <a class="reference internal image-reference" href="https://www.unidata.ucar.edu/images/logos/netcdf-400x400.png"><img alt="https://www.unidata.ucar.edu/images/logos/netcdf-400x400.png" class="align-right" src="https://www.unidata.ucar.edu/images/logos/netcdf-400x400.png" style="width: 20%;" /></a>
 <section id="netcdf">
-<h2>NetCDF<a class="headerlink" href="#netcdf" title="Permalink to this headline">#</a></h2>
+<h2>NetCDF<a class="headerlink" href="#netcdf" title="Permalink to this heading">#</a></h2>
 <p>The recommended way to store xarray data structures is NetCDF, which is a binary
 file format for self-described datasets that originated in the geosciences.
 Xarray is based on the netCDF data model, so netCDF files on disk directly
@@ -975,7 +992,7 @@ <h2>NetCDF<a class="headerlink" href="#netcdf" title="Permalink to this headline
   * z        (z) int64 -3 -2 -1 0 1 2
 Data variables:
     a        (x, y) float64 ...
-    b        (z, x) float64 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1ece5f9d-fd4f-4bee-8718-2d99beeb8c20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1ece5f9d-fd4f-4bee-8718-2d99beeb8c20' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4</li><li><span class='xr-has-index'>y</span>: 2</li><li><span class='xr-has-index'>z</span>: 6</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ab7f4b4d-e5e8-4e0b-a7bb-9bf6429434a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ab7f4b4d-e5e8-4e0b-a7bb-9bf6429434a4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-80464c91-4f8a-4628-b5e6-333a1243715c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-80464c91-4f8a-4628-b5e6-333a1243715c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd5deee4-3e10-4c92-a34b-4f1a1b8d09fa' class='xr-var-data-in' type='checkbox'><label for='data-fd5deee4-3e10-4c92-a34b-4f1a1b8d09fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1</div><input id='attrs-35aa473f-edce-47be-b8fd-e4dbabb4ab27' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-35aa473f-edce-47be-b8fd-e4dbabb4ab27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d62f2fdb-6147-4d2d-b842-4014e471886f' class='xr-var-data-in' type='checkbox'><label for='data-d62f2fdb-6147-4d2d-b842-4014e471886f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-3 -2 -1 0 1 2</div><input id='attrs-fd619c2d-91b2-4a09-89da-e42c838b8549' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd619c2d-91b2-4a09-89da-e42c838b8549' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71f23be8-0f9c-47e5-9789-d2a141d648a4' class='xr-var-data-in' type='checkbox'><label for='data-71f23be8-0f9c-47e5-9789-d2a141d648a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-3, -2, -1,  0,  1,  2])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8291b436-0119-473f-8da9-ab1f2eab6547' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8291b436-0119-473f-8da9-ab1f2eab6547' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2653f64d-6a56-4874-a66b-b46bbb0ec022' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2653f64d-6a56-4874-a66b-b46bbb0ec022' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eed543d7-27e1-4baa-9c25-b48e256e84f3' class='xr-var-data-in' type='checkbox'><label for='data-eed543d7-27e1-4baa-9c25-b48e256e84f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[8 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(z, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5381470d-6987-40e9-817d-a1067a87d053' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5381470d-6987-40e9-817d-a1067a87d053' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-360434f5-6487-4acc-a39a-fa522b1ddc72' class='xr-var-data-in' type='checkbox'><label for='data-360434f5-6487-4acc-a39a-fa522b1ddc72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[24 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c871cdc-ae30-43fb-ae69-a6f0e167ba41' class='xr-section-summary-in' type='checkbox'  ><label for='section-3c871cdc-ae30-43fb-ae69-a6f0e167ba41' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-491917fb-4b91-4445-978c-1bc463973abf' class='xr-index-data-in' type='checkbox'/><label for='index-491917fb-4b91-4445-978c-1bc463973abf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d20f9324-c448-4bea-960b-625e3e7c14e6' class='xr-index-data-in' type='checkbox'/><label for='index-d20f9324-c448-4bea-960b-625e3e7c14e6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1], dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-88bfc3a7-08db-4fcb-a88f-17fbb1a3e0f9' class='xr-index-data-in' type='checkbox'/><label for='index-88bfc3a7-08db-4fcb-a88f-17fbb1a3e0f9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-3, -2, -1, 0, 1, 2], dtype=&#x27;int64&#x27;, name=&#x27;z&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c812f95-c65f-4431-baeb-855cec4e114c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2c812f95-c65f-4431-baeb-855cec4e114c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+    b        (z, x) float64 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c43c00c3-4c9b-4986-9d36-1d25462d8fe0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c43c00c3-4c9b-4986-9d36-1d25462d8fe0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4</li><li><span class='xr-has-index'>y</span>: 2</li><li><span class='xr-has-index'>z</span>: 6</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9cff0fb1-48b8-4102-8f1f-50a891f07b75' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9cff0fb1-48b8-4102-8f1f-50a891f07b75' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-168faa62-9d20-48d7-a859-d4e0e6fc87f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-168faa62-9d20-48d7-a859-d4e0e6fc87f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ae98ea5-7521-4692-ab04-a58d5602b8bb' class='xr-var-data-in' type='checkbox'><label for='data-6ae98ea5-7521-4692-ab04-a58d5602b8bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1</div><input id='attrs-d62bfd4f-015d-466a-b83b-4a14c6d10c49' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d62bfd4f-015d-466a-b83b-4a14c6d10c49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66275047-af9d-4c9c-a5c1-8254a54ea6c4' class='xr-var-data-in' type='checkbox'><label for='data-66275047-af9d-4c9c-a5c1-8254a54ea6c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-3 -2 -1 0 1 2</div><input id='attrs-bd3c3aa3-fcc7-4b91-b427-51cbd863f1cd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bd3c3aa3-fcc7-4b91-b427-51cbd863f1cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcf941cd-625e-47e5-8f59-0626c4a6da8a' class='xr-var-data-in' type='checkbox'><label for='data-bcf941cd-625e-47e5-8f59-0626c4a6da8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-3, -2, -1,  0,  1,  2])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f6a834b3-f781-458c-977e-faafe3c4ebdb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f6a834b3-f781-458c-977e-faafe3c4ebdb' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7b97d935-3191-4c27-a7c2-6977ae0a5bf2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b97d935-3191-4c27-a7c2-6977ae0a5bf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c726d86c-2f8f-4ff4-81a0-3f74e41808c5' class='xr-var-data-in' type='checkbox'><label for='data-c726d86c-2f8f-4ff4-81a0-3f74e41808c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[8 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(z, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-507aaafa-8ed5-48c5-904b-0ba55444f3f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-507aaafa-8ed5-48c5-904b-0ba55444f3f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36d976ad-bce5-434c-b312-0f62006bea7b' class='xr-var-data-in' type='checkbox'><label for='data-36d976ad-bce5-434c-b312-0f62006bea7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[24 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1234ca9e-dbed-4591-aee2-ecfad80d2b4f' class='xr-section-summary-in' type='checkbox'  ><label for='section-1234ca9e-dbed-4591-aee2-ecfad80d2b4f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a8bedcd9-37c9-401b-8202-c23ba8aacb87' class='xr-index-data-in' type='checkbox'/><label for='index-a8bedcd9-37c9-401b-8202-c23ba8aacb87' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dfdff872-b81d-44c0-9f05-61457e66093a' class='xr-index-data-in' type='checkbox'/><label for='index-dfdff872-b81d-44c0-9f05-61457e66093a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1], dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ae91de2f-de0d-486d-b971-a898f6ee8aa9' class='xr-index-data-in' type='checkbox'/><label for='index-ae91de2f-de0d-486d-b971-a898f6ee8aa9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-3, -2, -1, 0, 1, 2], dtype=&#x27;int64&#x27;, name=&#x27;z&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-92e62de0-d648-4505-8fec-c397dbea9fa2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-92e62de0-d648-4505-8fec-c397dbea9fa2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1351,12 +1368,12 @@ <h2>NetCDF<a class="headerlink" href="#netcdf" title="Permalink to this headline
 [8 values with dtype=float64]
 Coordinates:
   * x        (x) int64 0 1 2 3
-  * y        (y) int64 -2 -1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'a'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4</li><li><span class='xr-has-index'>y</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8044880b-b23d-4b8b-9c8b-887b344c5941' class='xr-array-in' type='checkbox' checked><label for='section-8044880b-b23d-4b8b-9c8b-887b344c5941' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[8 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-81ba5239-1795-4de1-8a02-cdb4809ffd93' class='xr-section-summary-in' type='checkbox'  checked><label for='section-81ba5239-1795-4de1-8a02-cdb4809ffd93' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-632a42a9-468e-45f4-b83c-00e1b82ae16c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-632a42a9-468e-45f4-b83c-00e1b82ae16c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fac9112-dd5a-4d1d-a7ea-93f33593b961' class='xr-var-data-in' type='checkbox'><label for='data-6fac9112-dd5a-4d1d-a7ea-93f33593b961' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1</div><input id='attrs-44b541c8-2abf-46b1-ab11-30e5bb6937b8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-44b541c8-2abf-46b1-ab11-30e5bb6937b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c6fb3c6-24ee-4e4c-aa96-9f5a3a6c2797' class='xr-var-data-in' type='checkbox'><label for='data-2c6fb3c6-24ee-4e4c-aa96-9f5a3a6c2797' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44cd4d71-d418-463c-9915-f1b6769ca485' class='xr-section-summary-in' type='checkbox'  ><label for='section-44cd4d71-d418-463c-9915-f1b6769ca485' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6529d634-9d5c-422a-ab3e-fc0e64bb171a' class='xr-index-data-in' type='checkbox'/><label for='index-6529d634-9d5c-422a-ab3e-fc0e64bb171a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-96e27f8e-c7f9-4b18-bcb1-1e3df8ce936c' class='xr-index-data-in' type='checkbox'/><label for='index-96e27f8e-c7f9-4b18-bcb1-1e3df8ce936c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1], dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d751dba-9495-4920-ad30-caf50e08873c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0d751dba-9495-4920-ad30-caf50e08873c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+  * y        (y) int64 -2 -1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'a'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4</li><li><span class='xr-has-index'>y</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ad68f1b2-d4c2-4d70-bff9-0327296af9f0' class='xr-array-in' type='checkbox' checked><label for='section-ad68f1b2-d4c2-4d70-bff9-0327296af9f0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[8 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-4dff10bc-7570-42ce-b1ac-7455137ca42a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4dff10bc-7570-42ce-b1ac-7455137ca42a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-564cdbb0-214d-412b-8ca6-966aa4532369' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-564cdbb0-214d-412b-8ca6-966aa4532369' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-852a58b8-ac40-464c-b8f1-5fb407f0d0db' class='xr-var-data-in' type='checkbox'><label for='data-852a58b8-ac40-464c-b8f1-5fb407f0d0db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1</div><input id='attrs-ecf898f7-11ff-470a-ad62-118e10eb6cee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ecf898f7-11ff-470a-ad62-118e10eb6cee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86307261-53e0-461a-8b85-ab5604c38db0' class='xr-var-data-in' type='checkbox'><label for='data-86307261-53e0-461a-8b85-ab5604c38db0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2dd0e6c6-53ca-44e9-bf04-b7ec4a38a64a' class='xr-section-summary-in' type='checkbox'  ><label for='section-2dd0e6c6-53ca-44e9-bf04-b7ec4a38a64a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f590cb7e-7f87-4805-a009-6eeeadfd5132' class='xr-index-data-in' type='checkbox'/><label for='index-f590cb7e-7f87-4805-a009-6eeeadfd5132' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5f8ff620-7492-4b24-916c-593938cbcc1e' class='xr-index-data-in' type='checkbox'/><label for='index-5f8ff620-7492-4b24-916c-593938cbcc1e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1], dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-36aabaf4-67d7-4aaa-8fc8-4240bf3c6d2b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-36aabaf4-67d7-4aaa-8fc8-4240bf3c6d2b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <a class="reference internal image-reference" href="https://zarr.readthedocs.io/en/stable/_static/logo1.png"><img alt="https://zarr.readthedocs.io/en/stable/_static/logo1.png" class="align-right" src="https://zarr.readthedocs.io/en/stable/_static/logo1.png" style="width: 20%;" /></a>
 </section>
 <section id="zarr">
-<h2>Zarr<a class="headerlink" href="#zarr" title="Permalink to this headline">#</a></h2>
+<h2>Zarr<a class="headerlink" href="#zarr" title="Permalink to this heading">#</a></h2>
 <p><a class="reference external" href="https://zarr.readthedocs.io/en/stable/">Zarr</a> is a Python package and data
 format providing an implementation of chunked, compressed, N-dimensional arrays.
 Zarr has the ability to store arrays in a range of ways, including in memory, in
@@ -1370,7 +1387,7 @@ <h2>Zarr<a class="headerlink" href="#zarr" title="Permalink to this headline">#<
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.backends.zarr.ZarrStore at 0x7f23c85d89e0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.backends.zarr.ZarrStore at 0x7f190a47cec0&gt;
 </pre></div>
 </div>
 </div>
@@ -1754,7 +1771,7 @@ <h2>Zarr<a class="headerlink" href="#zarr" title="Permalink to this headline">#<
   * z        (z) int64 -3 -2 -1 0 1 2
 Data variables:
     a        (x, y) float64 ...
-    b        (z, x) float64 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b0325702-6cd2-4619-a6b6-05b6a916486a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b0325702-6cd2-4619-a6b6-05b6a916486a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4</li><li><span class='xr-has-index'>y</span>: 2</li><li><span class='xr-has-index'>z</span>: 6</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-81fe236b-1465-42d3-a631-1fc40ba23bee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-81fe236b-1465-42d3-a631-1fc40ba23bee' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-b5251817-637b-405c-9444-85d39d978504' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5251817-637b-405c-9444-85d39d978504' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a86542cc-c17c-42c5-ac1b-b9d189d43569' class='xr-var-data-in' type='checkbox'><label for='data-a86542cc-c17c-42c5-ac1b-b9d189d43569' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1</div><input id='attrs-d1cd8f44-8268-4f1e-8adb-bb13cd76a93e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d1cd8f44-8268-4f1e-8adb-bb13cd76a93e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5e6c40f-735d-436b-be70-8e0f53cd5eae' class='xr-var-data-in' type='checkbox'><label for='data-b5e6c40f-735d-436b-be70-8e0f53cd5eae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-3 -2 -1 0 1 2</div><input id='attrs-f326d815-40e9-43e6-80ea-e6dbcfe87a02' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f326d815-40e9-43e6-80ea-e6dbcfe87a02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83541317-6831-4747-beb3-e1161da50f6e' class='xr-var-data-in' type='checkbox'><label for='data-83541317-6831-4747-beb3-e1161da50f6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-3, -2, -1,  0,  1,  2])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-030cb6f9-5e00-4724-86c5-f9d38c75484b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-030cb6f9-5e00-4724-86c5-f9d38c75484b' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-879b2c55-6ba8-4151-91ff-ebe62cea2f95' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-879b2c55-6ba8-4151-91ff-ebe62cea2f95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7eba7eec-942c-40e4-a709-6fc7919c1661' class='xr-var-data-in' type='checkbox'><label for='data-7eba7eec-942c-40e4-a709-6fc7919c1661' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[8 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(z, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d12e6d49-03ff-4369-bb25-ab3391c77ff4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d12e6d49-03ff-4369-bb25-ab3391c77ff4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ab4a542-072f-457e-93e5-e1f9d70ba716' class='xr-var-data-in' type='checkbox'><label for='data-3ab4a542-072f-457e-93e5-e1f9d70ba716' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[24 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77a4924e-6a86-4227-92d5-e90cb0a5c808' class='xr-section-summary-in' type='checkbox'  ><label for='section-77a4924e-6a86-4227-92d5-e90cb0a5c808' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f3b0bc81-2b4e-4930-b46c-ba5bb0b5c804' class='xr-index-data-in' type='checkbox'/><label for='index-f3b0bc81-2b4e-4930-b46c-ba5bb0b5c804' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6bae08ee-4011-45b9-a46a-23720c62e2c0' class='xr-index-data-in' type='checkbox'/><label for='index-6bae08ee-4011-45b9-a46a-23720c62e2c0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1], dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-078ba3ec-65dc-4af8-bb25-f07929ccfda3' class='xr-index-data-in' type='checkbox'/><label for='index-078ba3ec-65dc-4af8-bb25-f07929ccfda3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-3, -2, -1, 0, 1, 2], dtype=&#x27;int64&#x27;, name=&#x27;z&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-69b32d71-5cab-4d30-8eb3-65ad0f5d1b7c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-69b32d71-5cab-4d30-8eb3-65ad0f5d1b7c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+    b        (z, x) float64 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ac9a2bd2-f90e-40b1-9905-d90ac0eb1635' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac9a2bd2-f90e-40b1-9905-d90ac0eb1635' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4</li><li><span class='xr-has-index'>y</span>: 2</li><li><span class='xr-has-index'>z</span>: 6</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-592b3954-ffb6-4eb3-b645-95bb8eb3229b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-592b3954-ffb6-4eb3-b645-95bb8eb3229b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-e9b6c75b-cd59-4a5e-a03e-41eb517b2e00' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9b6c75b-cd59-4a5e-a03e-41eb517b2e00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a8c732c-d3e4-4459-a3f9-5605bb6c1948' class='xr-var-data-in' type='checkbox'><label for='data-5a8c732c-d3e4-4459-a3f9-5605bb6c1948' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1</div><input id='attrs-98c61885-82bf-4539-b862-50b28365525a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98c61885-82bf-4539-b862-50b28365525a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f473a9a0-1767-4fe4-a1aa-f8db2fa00735' class='xr-var-data-in' type='checkbox'><label for='data-f473a9a0-1767-4fe4-a1aa-f8db2fa00735' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>z</span></div><div class='xr-var-dims'>(z)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-3 -2 -1 0 1 2</div><input id='attrs-b0cba8b7-da72-4070-b095-146328922aaa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b0cba8b7-da72-4070-b095-146328922aaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-112ef708-1f74-4619-988b-3f9458791bab' class='xr-var-data-in' type='checkbox'><label for='data-112ef708-1f74-4619-988b-3f9458791bab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-3, -2, -1,  0,  1,  2])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec99452d-01ab-4289-a292-f42028459328' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec99452d-01ab-4289-a292-f42028459328' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(x, y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c12d7e54-b48b-47fd-93bc-ea52bf201386' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c12d7e54-b48b-47fd-93bc-ea52bf201386' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b740f30-9291-4db6-8451-552081b045dc' class='xr-var-data-in' type='checkbox'><label for='data-2b740f30-9291-4db6-8451-552081b045dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[8 values with dtype=float64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>b</span></div><div class='xr-var-dims'>(z, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1d8c01cb-935f-4a57-bee6-236d7c2182d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1d8c01cb-935f-4a57-bee6-236d7c2182d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c365dfef-91dc-4b48-92c5-6b2adae9dd63' class='xr-var-data-in' type='checkbox'><label for='data-c365dfef-91dc-4b48-92c5-6b2adae9dd63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[24 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34583bc5-a92e-4aff-88c5-df7c6f7cc5a8' class='xr-section-summary-in' type='checkbox'  ><label for='section-34583bc5-a92e-4aff-88c5-df7c6f7cc5a8' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d8a2e903-02e9-442b-b399-f0e8002613ad' class='xr-index-data-in' type='checkbox'/><label for='index-d8a2e903-02e9-442b-b399-f0e8002613ad' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-376098a1-82a9-4384-9469-d868ded0621f' class='xr-index-data-in' type='checkbox'/><label for='index-376098a1-82a9-4384-9469-d868ded0621f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1], dtype=&#x27;int64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>z</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b497b98b-8d5d-4640-ba2a-db6739f85d53' class='xr-index-data-in' type='checkbox'/><label for='index-b497b98b-8d5d-4640-ba2a-db6739f85d53' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-3, -2, -1, 0, 1, 2], dtype=&#x27;int64&#x27;, name=&#x27;z&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-24f60222-44b3-470d-9421-a9d99f41940b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-24f60222-44b3-470d-9421-a9d99f41940b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>setting the <code class="docutils literal notranslate"><span class="pre">chunks</span></code> parameter to <code class="docutils literal notranslate"><span class="pre">None</span></code> avoids <code class="docutils literal notranslate"><span class="pre">dask</span></code> (more on that in a later
 session)</p>
@@ -1768,14 +1785,14 @@ <h2>Zarr<a class="headerlink" href="#zarr" title="Permalink to this headline">#<
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.backends.zarr.ZarrStore at 0x7f23c85d8970&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.backends.zarr.ZarrStore at 0x7f190a47dac0&gt;
 </pre></div>
 </div>
 </div>
 </div>
 </section>
 <section id="raster-files-using-rioxarray">
-<h2>Raster files using rioxarray<a class="headerlink" href="#raster-files-using-rioxarray" title="Permalink to this headline">#</a></h2>
+<h2>Raster files using rioxarray<a class="headerlink" href="#raster-files-using-rioxarray" title="Permalink to this heading">#</a></h2>
 <p><a class="reference external" href="https://corteva.github.io/rioxarray/">rioxarray</a> is an <em>Xarray extension</em> that allows reading and writing a wide variety of geospatial image formats compatible with Geographic Information Systems (GIS), for example GeoTIFF.</p>
 <p>If rioxarray is installed your environment it will be automatically detected and give you access to the <code class="docutils literal notranslate"><span class="pre">.rio</span></code> accessor:</p>
 <div class="cell docutils container">
@@ -2167,10 +2184,10 @@ <h2>Raster files using rioxarray<a class="headerlink" href="#raster-files-using-
 Coordinates:
   * y            (y) float64 47.5 47.6 47.7 47.8
   * x            (x) float64 -122.9 -122.7
-    spatial_ref  int64 0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 4</li><li><span class='xr-has-index'>x</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ade2182c-17db-4ce6-8557-91ad726bd222' class='xr-array-in' type='checkbox' checked><label for='section-ade2182c-17db-4ce6-8557-91ad726bd222' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.764 0.4002 0.9787 2.241 1.868 -0.9773 0.9501 -0.1514</span></div><div class='xr-array-data'><pre>array([[ 1.76405235,  0.40015721],
+    spatial_ref  int64 0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 4</li><li><span class='xr-has-index'>x</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1a19aa83-cd29-409f-941c-68548b806a8d' class='xr-array-in' type='checkbox' checked><label for='section-1a19aa83-cd29-409f-941c-68548b806a8d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.764 0.4002 0.9787 2.241 1.868 -0.9773 0.9501 -0.1514</span></div><div class='xr-array-data'><pre>array([[ 1.76405235,  0.40015721],
        [ 0.97873798,  2.2408932 ],
        [ 1.86755799, -0.97727788],
-       [ 0.95008842, -0.15135721]])</pre></div></div></li><li class='xr-section-item'><input id='section-4b6025f5-8573-45b1-bd27-57403509ea86' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4b6025f5-8573-45b1-bd27-57403509ea86' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.5 47.6 47.7 47.8</div><input id='attrs-08fe62da-3770-481e-bc96-86839c30f2fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08fe62da-3770-481e-bc96-86839c30f2fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1c91141-0c14-41d0-9313-d648f9a5b5f8' class='xr-var-data-in' type='checkbox'><label for='data-c1c91141-0c14-41d0-9313-d648f9a5b5f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([47.5, 47.6, 47.7, 47.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-122.9 -122.7</div><input id='attrs-2d1f2a3c-0260-4d9f-916e-a14364f7f0a2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2d1f2a3c-0260-4d9f-916e-a14364f7f0a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fae5aa06-7687-46ff-8fc6-8a7d8a86f400' class='xr-var-data-in' type='checkbox'><label for='data-fae5aa06-7687-46ff-8fc6-8a7d8a86f400' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-122.9, -122.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-d85a4edb-b543-4016-be65-f9fba1c017da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d85a4edb-b543-4016-be65-f9fba1c017da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09b49199-f0a4-4478-8f60-40bc2ecfebd2' class='xr-var-data-in' type='checkbox'><label for='data-09b49199-f0a4-4478-8f60-40bc2ecfebd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0516cda1-eab7-4ebb-8c9b-47d0600dcf87' class='xr-section-summary-in' type='checkbox'  ><label for='section-0516cda1-eab7-4ebb-8c9b-47d0600dcf87' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-05d351a4-c5f8-4f7e-a1f2-e691b0546478' class='xr-index-data-in' type='checkbox'/><label for='index-05d351a4-c5f8-4f7e-a1f2-e691b0546478' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([47.5, 47.6, 47.699999999999996, 47.8], dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1eec9380-8b64-4c15-bd1d-6d93d36bbc5d' class='xr-index-data-in' type='checkbox'/><label for='index-1eec9380-8b64-4c15-bd1d-6d93d36bbc5d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-122.9, -122.7], dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1dbd1812-3533-489a-814f-2e394b54552b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1dbd1812-3533-489a-814f-2e394b54552b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [ 0.95008842, -0.15135721]])</pre></div></div></li><li class='xr-section-item'><input id='section-5b2d3177-fe47-46fd-9b54-80a4a2e3244a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5b2d3177-fe47-46fd-9b54-80a4a2e3244a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>47.5 47.6 47.7 47.8</div><input id='attrs-1c60c58a-3627-40e4-b7c3-accd0a94d8e2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1c60c58a-3627-40e4-b7c3-accd0a94d8e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d4f0848-80e8-41e1-aba6-d9c2e4c2b7a9' class='xr-var-data-in' type='checkbox'><label for='data-0d4f0848-80e8-41e1-aba6-d9c2e4c2b7a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([47.5, 47.6, 47.7, 47.8])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-122.9 -122.7</div><input id='attrs-a194300f-b0c7-4f47-acc1-3f1294d5cfba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a194300f-b0c7-4f47-acc1-3f1294d5cfba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35796b18-efd2-4dba-a2fd-bda874599195' class='xr-var-data-in' type='checkbox'><label for='data-35796b18-efd2-4dba-a2fd-bda874599195' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-122.9, -122.7])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-d7160240-6f73-48a7-86f1-1150a0f97f55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7160240-6f73-48a7-86f1-1150a0f97f55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6a49c5c-1d9a-4ebd-a812-b0a83c1a6130' class='xr-var-data-in' type='checkbox'><label for='data-a6a49c5c-1d9a-4ebd-a812-b0a83c1a6130' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4974b200-4ed9-4286-a7fa-c780208db56c' class='xr-section-summary-in' type='checkbox'  ><label for='section-4974b200-4ed9-4286-a7fa-c780208db56c' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aa47f739-624a-42a0-a3ba-3995c8a08475' class='xr-index-data-in' type='checkbox'/><label for='index-aa47f739-624a-42a0-a3ba-3995c8a08475' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([47.5, 47.6, 47.699999999999996, 47.8], dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1a71fc95-7707-4aff-8f12-d1d2a7098649' class='xr-index-data-in' type='checkbox'/><label for='index-1a71fc95-7707-4aff-8f12-d1d2a7098649' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-122.9, -122.7], dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-536b89fa-8810-4a45-8d69-b06d301d5715' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-536b89fa-8810-4a45-8d69-b06d301d5715' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
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@@ -471,10 +488,10 @@ <h1>Data Structures</h1>
               
                 
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 <li class="toctree-l1"><a class="reference internal" href="01_datastructures.html">Xarray’s Data structures</a></li>
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@@ -559,6 +574,7 @@ <h1>Data Structures<a class="headerlink" href="#data-structures" title="Permalin
   
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diff --git a/fundamentals/01_datastructures.html b/fundamentals/01_datastructures.html
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+++ b/fundamentals/01_datastructures.html
@@ -3,7 +3,7 @@
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@@ -527,11 +544,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="xarray-s-data-structures">
-<h1>Xarray’s Data structures<a class="headerlink" href="#xarray-s-data-structures" title="Permalink to this headline">#</a></h1>
+<h1>Xarray’s Data structures<a class="headerlink" href="#xarray-s-data-structures" title="Permalink to this heading">#</a></h1>
 <p>In this lesson, we cover the basics of Xarray data structures. Our
 learning goals are as follows. By the end of the lesson, we will be able to:</p>
 <ul class="simple">
@@ -539,7 +556,7 @@ <h1>Xarray’s Data structures<a class="headerlink" href="#xarray-s-data-structu
 </ul>
 <hr class="docutils" />
 <section id="introduction">
-<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this headline">#</a></h2>
+<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this heading">#</a></h2>
 <p>Multi-dimensional (a.k.a. N-dimensional, ND) arrays (sometimes called “tensors”)
 are an essential part of computational science. They are encountered in a wide
 range of fields, including physics, astronomy, geoscience, bioinformatics,
@@ -579,7 +596,7 @@ <h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to t
 back to look at it weeks or months later.</p>
 </section>
 <section id="data-structures">
-<h2>Data structures<a class="headerlink" href="#data-structures" title="Permalink to this headline">#</a></h2>
+<h2>Data structures<a class="headerlink" href="#data-structures" title="Permalink to this heading">#</a></h2>
 <p>Xarray provides two data structures: the <code class="docutils literal notranslate"><span class="pre">DataArray</span></code> and <code class="docutils literal notranslate"><span class="pre">Dataset</span></code>. The
 <code class="docutils literal notranslate"><span class="pre">DataArray</span></code> class attaches dimension names, coordinates and attributes to
 multi-dimensional arrays while <code class="docutils literal notranslate"><span class="pre">Dataset</span></code> combines multiple arrays.</p>
@@ -596,7 +613,7 @@ <h2>Data structures<a class="headerlink" href="#data-structures" title="Permalin
 </div>
 </div>
 <section id="dataset">
-<h3>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headline">#</a></h3>
+<h3>Dataset<a class="headerlink" href="#dataset" title="Permalink to this heading">#</a></h3>
 <p><code class="docutils literal notranslate"><span class="pre">Dataset</span></code> objects are dictionary-like containers of DataArrays, mapping a variable name to each DataArray.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -982,17 +999,17 @@ <h3>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headli
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c09b76e9-d9db-4b3d-82da-ae1bccd816b8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c09b76e9-d9db-4b3d-82da-ae1bccd816b8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-47453b63-a506-436f-83db-94fe26fecb76' class='xr-section-summary-in' type='checkbox'  checked><label for='section-47453b63-a506-436f-83db-94fe26fecb76' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-67621fb5-178e-48db-9a17-51896701a781' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67621fb5-178e-48db-9a17-51896701a781' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7050ce94-1441-494e-bbfa-729fa09a3b33' class='xr-var-data-in' type='checkbox'><label for='data-7050ce94-1441-494e-bbfa-729fa09a3b33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-861a095e-f17e-4e7e-9a9c-27fcc7cb9753' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-861a095e-f17e-4e7e-9a9c-27fcc7cb9753' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f417d227-3721-45c8-9c19-a0b7afb6908d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f417d227-3721-45c8-9c19-a0b7afb6908d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-d9f43430-11cd-4d54-80b2-0f4b77ae4a0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9f43430-11cd-4d54-80b2-0f4b77ae4a0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e96f22ab-7f42-48ff-89ac-43def2958588' class='xr-var-data-in' type='checkbox'><label for='data-e96f22ab-7f42-48ff-89ac-43def2958588' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ca7447c5-8e16-482e-901f-0c8ff6afe208' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca7447c5-8e16-482e-901f-0c8ff6afe208' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5d5a740-74d8-4889-9d95-4e5fe1df04aa' class='xr-var-data-in' type='checkbox'><label for='data-e5d5a740-74d8-4889-9d95-4e5fe1df04aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-9ca453e7-ee41-4090-be18-325ee5a71e93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ca453e7-ee41-4090-be18-325ee5a71e93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3201cd50-20f3-465f-bbc6-569cbb94e683' class='xr-var-data-in' type='checkbox'><label for='data-3201cd50-20f3-465f-bbc6-569cbb94e683' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-20b76b49-6e7d-41c5-9bf1-9c8f9ab3f510' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20b76b49-6e7d-41c5-9bf1-9c8f9ab3f510' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef1aac19-7d7c-4c69-bafc-2323f409199b' class='xr-var-data-in' type='checkbox'><label for='data-ef1aac19-7d7c-4c69-bafc-2323f409199b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-6204c4bf-3947-4d6f-8089-3121261a84b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6204c4bf-3947-4d6f-8089-3121261a84b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b562d24-9587-45b4-8cb4-230d871de3a1' class='xr-var-data-in' type='checkbox'><label for='data-4b562d24-9587-45b4-8cb4-230d871de3a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe1b6417-b491-4100-a08a-00cb1fd9d3cf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fe1b6417-b491-4100-a08a-00cb1fd9d3cf' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-df090804-cca2-4bf3-b785-8f92c5a4badb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df090804-cca2-4bf3-b785-8f92c5a4badb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e41f9ebc-e6ce-428a-ad2d-c28f7673c5c2' class='xr-var-data-in' type='checkbox'><label for='data-e41f9ebc-e6ce-428a-ad2d-c28f7673c5c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-11d78e60-50f0-4f91-b53c-5391c4605950' class='xr-section-summary-in' type='checkbox'  checked><label for='section-11d78e60-50f0-4f91-b53c-5391c4605950' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-6f5888fe-74e7-46a9-97ee-179be4b238d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f5888fe-74e7-46a9-97ee-179be4b238d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73382db6-397b-4b24-b4a3-ea6eb59d8389' class='xr-var-data-in' type='checkbox'><label for='data-73382db6-397b-4b24-b4a3-ea6eb59d8389' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -1032,16 +1049,16 @@ <h3>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6f85fae4-7f6a-4b8f-83df-e57c65076363' class='xr-section-summary-in' type='checkbox'  ><label for='section-6f85fae4-7f6a-4b8f-83df-e57c65076363' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-886a9d50-2084-4593-9e60-635a07777ff1' class='xr-index-data-in' type='checkbox'/><label for='index-886a9d50-2084-4593-9e60-635a07777ff1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8787c7b1-fde0-4d5f-a29d-fa393e2b9923' class='xr-section-summary-in' type='checkbox'  ><label for='section-8787c7b1-fde0-4d5f-a29d-fa393e2b9923' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ec5f99b9-5218-49fb-b489-73f761c6ee0c' class='xr-index-data-in' type='checkbox'/><label for='index-ec5f99b9-5218-49fb-b489-73f761c6ee0c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-12f27dd6-a025-4309-a93b-15040841ba32' class='xr-index-data-in' type='checkbox'/><label for='index-12f27dd6-a025-4309-a93b-15040841ba32' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c13c8b40-4bae-4246-9b33-21818b50364f' class='xr-index-data-in' type='checkbox'/><label for='index-c13c8b40-4bae-4246-9b33-21818b50364f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-772374ef-6938-41ef-b655-2839b240fc5f' class='xr-index-data-in' type='checkbox'/><label for='index-772374ef-6938-41ef-b655-2839b240fc5f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-282d7a57-4614-4f7e-a01e-f87046c69638' class='xr-index-data-in' type='checkbox'/><label for='index-282d7a57-4614-4f7e-a01e-f87046c69638' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1052,7 +1069,7 @@ <h3>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headli
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-39ffe5c9-c5b4-4161-b323-f0122589dfb4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-39ffe5c9-c5b4-4161-b323-f0122589dfb4' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-968d0d05-76d6-4245-8ea2-95ab73d28909' class='xr-section-summary-in' type='checkbox'  checked><label for='section-968d0d05-76d6-4245-8ea2-95ab73d28909' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>We can access “layers” of the Dataset (individual DataArrays) with dictionary syntax</p>
@@ -1483,7 +1500,7 @@ <h3>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headli
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c9567d52-6841-48ff-9c18-5067b7fd4d00' class='xr-array-in' type='checkbox' checked><label for='section-c9567d52-6841-48ff-9c18-5067b7fd4d00' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dcaaefc4-a0b7-476e-880a-ba364ce58cf7' class='xr-array-in' type='checkbox' checked><label for='section-dcaaefc4-a0b7-476e-880a-ba364ce58cf7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -1523,26 +1540,26 @@ <h3>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-1cc30e4b-fe56-4393-96bf-b3d0b7c9ecb8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1cc30e4b-fe56-4393-96bf-b3d0b7c9ecb8' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-e62aa246-4c6b-4e62-bdbc-a9bbb6012349' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e62aa246-4c6b-4e62-bdbc-a9bbb6012349' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9725a24-e86a-4cc3-b35b-7b480bdf23b3' class='xr-var-data-in' type='checkbox'><label for='data-c9725a24-e86a-4cc3-b35b-7b480bdf23b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-3d8e2aa7-c4bf-4fa3-94ca-9524d979c195' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3d8e2aa7-c4bf-4fa3-94ca-9524d979c195' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-922b3086-1b8d-4df7-9a41-1af69f0ee104' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-922b3086-1b8d-4df7-9a41-1af69f0ee104' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c399e6c1-f022-416e-b1e1-dadf67887c8e' class='xr-var-data-in' type='checkbox'><label for='data-c399e6c1-f022-416e-b1e1-dadf67887c8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-3941e2f4-e7a1-400c-83cb-55cb5a7527c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3941e2f4-e7a1-400c-83cb-55cb5a7527c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f00c6bc0-e3d0-4763-aa78-cad12942768a' class='xr-var-data-in' type='checkbox'><label for='data-f00c6bc0-e3d0-4763-aa78-cad12942768a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-4d541fb5-5380-405e-9ace-0d2507003e96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d541fb5-5380-405e-9ace-0d2507003e96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3e7d774-fc87-4dbb-b74f-06696d54070e' class='xr-var-data-in' type='checkbox'><label for='data-f3e7d774-fc87-4dbb-b74f-06696d54070e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-2a8a1757-b9eb-4219-bddb-1ec7a5ba4703' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a8a1757-b9eb-4219-bddb-1ec7a5ba4703' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-805bdfb6-b73f-4ceb-acd1-40963f6cbb72' class='xr-var-data-in' type='checkbox'><label for='data-805bdfb6-b73f-4ceb-acd1-40963f6cbb72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-8546ca5a-229f-4b80-b63d-99a751487399' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8546ca5a-229f-4b80-b63d-99a751487399' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a03a1375-2502-496a-8b37-f0a1d5525744' class='xr-var-data-in' type='checkbox'><label for='data-a03a1375-2502-496a-8b37-f0a1d5525744' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4a74d2b-14e6-4305-83da-f4afed227aa1' class='xr-section-summary-in' type='checkbox'  ><label for='section-a4a74d2b-14e6-4305-83da-f4afed227aa1' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7b2c753d-5cb5-456a-95ce-1fcde0e6ee65' class='xr-index-data-in' type='checkbox'/><label for='index-7b2c753d-5cb5-456a-95ce-1fcde0e6ee65' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c56ea597-1d76-46c0-b585-729a5e45cc18' class='xr-section-summary-in' type='checkbox'  ><label for='section-c56ea597-1d76-46c0-b585-729a5e45cc18' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-14df16e3-8b45-4262-845b-78633505d4d6' class='xr-index-data-in' type='checkbox'/><label for='index-14df16e3-8b45-4262-845b-78633505d4d6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8748bb71-0107-4ea3-b9ef-78d5cf4ca694' class='xr-index-data-in' type='checkbox'/><label for='index-8748bb71-0107-4ea3-b9ef-78d5cf4ca694' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4c5dbe6f-1692-48b1-bc8b-914295d9564f' class='xr-index-data-in' type='checkbox'/><label for='index-4c5dbe6f-1692-48b1-bc8b-914295d9564f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ae9c9fe5-b29e-45f9-be1b-ae4e8525cb39' class='xr-index-data-in' type='checkbox'/><label for='index-ae9c9fe5-b29e-45f9-be1b-ae4e8525cb39' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-65993dc7-6aae-4c09-a900-2bf18b4f50a3' class='xr-index-data-in' type='checkbox'/><label for='index-65993dc7-6aae-4c09-a900-2bf18b4f50a3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1553,7 +1570,7 @@ <h3>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headli
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0220d47e-b5bf-4340-b360-2824cb78fc0c' class='xr-section-summary-in' type='checkbox'  ><label for='section-0220d47e-b5bf-4340-b360-2824cb78fc0c' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45039d24-36a7-44e2-a824-f5786fef43dc' class='xr-section-summary-in' type='checkbox'  ><label for='section-45039d24-36a7-44e2-a824-f5786fef43dc' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>We can save some typing by using the “attribute” or “dot” notation. This won’t work for variable names that clash with built-in
 method names (for example, <code class="docutils literal notranslate"><span class="pre">mean</span></code>).</p>
@@ -1984,7 +2001,7 @@ <h3>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headli
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-71f92c19-afa1-4b60-92eb-74c36714c1cd' class='xr-array-in' type='checkbox' checked><label for='section-71f92c19-afa1-4b60-92eb-74c36714c1cd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-50d0c224-ea10-4360-8087-7d8b6ea9a914' class='xr-array-in' type='checkbox' checked><label for='section-50d0c224-ea10-4360-8087-7d8b6ea9a914' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -2024,26 +2041,26 @@ <h3>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-59b23432-9222-4bd3-89e5-7323eb2c73c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-59b23432-9222-4bd3-89e5-7323eb2c73c4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-151060d4-71a8-4703-bc9d-256546a5c359' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-151060d4-71a8-4703-bc9d-256546a5c359' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa17e108-e8d1-44ab-8da6-0188c92a92c4' class='xr-var-data-in' type='checkbox'><label for='data-fa17e108-e8d1-44ab-8da6-0188c92a92c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c0c21c96-5c04-4b2d-bcab-154751e58eb1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c0c21c96-5c04-4b2d-bcab-154751e58eb1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-1fd78208-de8d-48db-b926-8212bc95112b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fd78208-de8d-48db-b926-8212bc95112b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56e724d0-3d65-485c-a831-9fa4015c46b0' class='xr-var-data-in' type='checkbox'><label for='data-56e724d0-3d65-485c-a831-9fa4015c46b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-45fa88fd-76b9-4509-8f3c-9a1dd0f01c33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45fa88fd-76b9-4509-8f3c-9a1dd0f01c33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4f20ef4-a269-4feb-85eb-081e2a9f88db' class='xr-var-data-in' type='checkbox'><label for='data-c4f20ef4-a269-4feb-85eb-081e2a9f88db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-67382964-a6c6-42cd-b25d-e7f72fe715b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67382964-a6c6-42cd-b25d-e7f72fe715b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4dc4852-42ac-4060-a204-8d377159c048' class='xr-var-data-in' type='checkbox'><label for='data-b4dc4852-42ac-4060-a204-8d377159c048' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-5fdb050d-60d0-4ab8-bb07-23a4e113bd6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fdb050d-60d0-4ab8-bb07-23a4e113bd6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0126670-8611-4c59-b028-7594fcf9ac46' class='xr-var-data-in' type='checkbox'><label for='data-f0126670-8611-4c59-b028-7594fcf9ac46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-444c4b7e-dd7a-4699-b570-dfeef0932406' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-444c4b7e-dd7a-4699-b570-dfeef0932406' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19a36ae7-40df-4c64-a32c-b4c88a7e6d75' class='xr-var-data-in' type='checkbox'><label for='data-19a36ae7-40df-4c64-a32c-b4c88a7e6d75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-94d51021-75c7-4e4d-86e0-cb40367b57aa' class='xr-section-summary-in' type='checkbox'  ><label for='section-94d51021-75c7-4e4d-86e0-cb40367b57aa' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6ee9e2a6-4c62-4cb0-b5c6-c3deee4658ee' class='xr-index-data-in' type='checkbox'/><label for='index-6ee9e2a6-4c62-4cb0-b5c6-c3deee4658ee' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb501096-80fa-472e-8cb7-c3ddbec3acc6' class='xr-section-summary-in' type='checkbox'  ><label for='section-cb501096-80fa-472e-8cb7-c3ddbec3acc6' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-77222daf-f24c-4993-af75-abfd64ccec85' class='xr-index-data-in' type='checkbox'/><label for='index-77222daf-f24c-4993-af75-abfd64ccec85' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c3185b5f-f36e-4cbd-b99f-e4385f7782a8' class='xr-index-data-in' type='checkbox'/><label for='index-c3185b5f-f36e-4cbd-b99f-e4385f7782a8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c9d82cda-ba81-4e91-a2ab-8614a01b8014' class='xr-index-data-in' type='checkbox'/><label for='index-c9d82cda-ba81-4e91-a2ab-8614a01b8014' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-822a60d8-337c-4a68-9ef3-4b456c366e1b' class='xr-index-data-in' type='checkbox'/><label for='index-822a60d8-337c-4a68-9ef3-4b456c366e1b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1eac3b33-d417-456f-91f4-7578e6b300ad' class='xr-index-data-in' type='checkbox'/><label for='index-1eac3b33-d417-456f-91f4-7578e6b300ad' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2054,10 +2071,10 @@ <h3>Dataset<a class="headerlink" href="#dataset" title="Permalink to this headli
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2fffff02-dd09-4973-9b8c-46cb56455fe2' class='xr-section-summary-in' type='checkbox'  ><label for='section-2fffff02-dd09-4973-9b8c-46cb56455fe2' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e406800-eb14-49e3-b672-5b75d3f95c3b' class='xr-section-summary-in' type='checkbox'  ><label for='section-7e406800-eb14-49e3-b672-5b75d3f95c3b' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <section id="what-is-all-this-anyway-string-representations">
-<h4>What is all this anyway? (String representations)<a class="headerlink" href="#what-is-all-this-anyway-string-representations" title="Permalink to this headline">#</a></h4>
+<h4>What is all this anyway? (String representations)<a class="headerlink" href="#what-is-all-this-anyway-string-representations" title="Permalink to this heading">#</a></h4>
 <p>Xarray has two representation types: <code class="docutils literal notranslate"><span class="pre">&quot;html&quot;</span></code> (which is only available in
 notebooks) and <code class="docutils literal notranslate"><span class="pre">&quot;text&quot;</span></code>. To choose between them, use the <code class="docutils literal notranslate"><span class="pre">display_style</span></code> option.</p>
 <p>So far, our notebook has automatically displayed the <code class="docutils literal notranslate"><span class="pre">&quot;html&quot;</span></code> representation (which we will continue using).
@@ -2447,17 +2464,17 @@ <h4>What is all this anyway? (String representations)<a class="headerlink" href=
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-91e58a87-2ca9-4831-af4c-43e555687c64' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-91e58a87-2ca9-4831-af4c-43e555687c64' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2336ef3f-a535-4c2c-8317-85d72bb4e7fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2336ef3f-a535-4c2c-8317-85d72bb4e7fa' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-f7ad6235-2c36-41c6-81aa-cf0c57bbc741' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7ad6235-2c36-41c6-81aa-cf0c57bbc741' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1332e810-65b7-4e49-8264-4d52eaedae84' class='xr-var-data-in' type='checkbox'><label for='data-1332e810-65b7-4e49-8264-4d52eaedae84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c60c6911-9a35-4784-9703-f2cb2fd67984' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c60c6911-9a35-4784-9703-f2cb2fd67984' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3aec8fc6-e018-4784-a5c2-e9c71bfa7457' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3aec8fc6-e018-4784-a5c2-e9c71bfa7457' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-881a9261-b543-46ed-9539-4efde0ab05e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-881a9261-b543-46ed-9539-4efde0ab05e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70b158fb-4716-4664-8f47-3361b5e191e2' class='xr-var-data-in' type='checkbox'><label for='data-70b158fb-4716-4664-8f47-3361b5e191e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-a97381da-2f79-4856-9b37-dd2568bfd812' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a97381da-2f79-4856-9b37-dd2568bfd812' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3542ba2d-b71f-4469-a4ed-577eec417d36' class='xr-var-data-in' type='checkbox'><label for='data-3542ba2d-b71f-4469-a4ed-577eec417d36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-621a9c36-fbc4-4e8f-a36f-01888050ff56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-621a9c36-fbc4-4e8f-a36f-01888050ff56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c42fcc2-13b7-4049-8c96-698cf5eb4adc' class='xr-var-data-in' type='checkbox'><label for='data-0c42fcc2-13b7-4049-8c96-698cf5eb4adc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-b7333b45-be5b-4fb6-9ddc-6ac663efaefa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7333b45-be5b-4fb6-9ddc-6ac663efaefa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c761838-52d0-46dc-a8ad-cfdd3cb772e8' class='xr-var-data-in' type='checkbox'><label for='data-7c761838-52d0-46dc-a8ad-cfdd3cb772e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-76b50779-c576-404b-b8c7-262a981a9fa5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76b50779-c576-404b-b8c7-262a981a9fa5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-485c1ec7-f09a-4e65-827f-6482ecebebc6' class='xr-var-data-in' type='checkbox'><label for='data-485c1ec7-f09a-4e65-827f-6482ecebebc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cde0a368-0050-4730-9981-44bc0190e9a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cde0a368-0050-4730-9981-44bc0190e9a4' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-8f5231b6-8486-4b2f-bcde-031f74e30e68' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f5231b6-8486-4b2f-bcde-031f74e30e68' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-324a71ed-2d2f-4e2e-aa8d-d51fced84b89' class='xr-var-data-in' type='checkbox'><label for='data-324a71ed-2d2f-4e2e-aa8d-d51fced84b89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-487eea8c-b752-467c-a615-3e89c02beb4c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-487eea8c-b752-467c-a615-3e89c02beb4c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-b6221e31-03bf-4339-b625-cd8b1a01e0d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6221e31-03bf-4339-b625-cd8b1a01e0d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-119c0a95-1812-4bae-93e4-d9bc45f2c66c' class='xr-var-data-in' type='checkbox'><label for='data-119c0a95-1812-4bae-93e4-d9bc45f2c66c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -2497,16 +2514,16 @@ <h4>What is all this anyway? (String representations)<a class="headerlink" href=
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-118e76df-18a4-4069-9bdf-ec200dc9bfcd' class='xr-section-summary-in' type='checkbox'  ><label for='section-118e76df-18a4-4069-9bdf-ec200dc9bfcd' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bf956d02-70c6-4e5c-9a5e-c3eaa3369421' class='xr-index-data-in' type='checkbox'/><label for='index-bf956d02-70c6-4e5c-9a5e-c3eaa3369421' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b56d3fbb-cba6-4511-a464-591e88d148a2' class='xr-section-summary-in' type='checkbox'  ><label for='section-b56d3fbb-cba6-4511-a464-591e88d148a2' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4c936e61-01d7-412e-b5ff-9c0e3c672836' class='xr-index-data-in' type='checkbox'/><label for='index-4c936e61-01d7-412e-b5ff-9c0e3c672836' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-54ad30b1-c14a-4c77-9068-c3a3dc7a4f75' class='xr-index-data-in' type='checkbox'/><label for='index-54ad30b1-c14a-4c77-9068-c3a3dc7a4f75' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8c6b8352-c59f-4f9a-a12e-a27702f3fac9' class='xr-index-data-in' type='checkbox'/><label for='index-8c6b8352-c59f-4f9a-a12e-a27702f3fac9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9331525e-d71c-493a-b327-7da2ae8fbb32' class='xr-index-data-in' type='checkbox'/><label for='index-9331525e-d71c-493a-b327-7da2ae8fbb32' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b2d07b06-5beb-42ea-81af-41972f8c520e' class='xr-index-data-in' type='checkbox'/><label for='index-b2d07b06-5beb-42ea-81af-41972f8c520e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2517,7 +2534,7 @@ <h4>What is all this anyway? (String representations)<a class="headerlink" href=
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1c8f5f5d-2e75-441a-aae9-950eaaafb5a2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1c8f5f5d-2e75-441a-aae9-950eaaafb5a2' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aa50c05c-0f05-4472-a9ba-5411183937b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aa50c05c-0f05-4472-a9ba-5411183937b1' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>The output consists of:</p>
@@ -2561,7 +2578,7 @@ <h4>What is all this anyway? (String representations)<a class="headerlink" href=
 </section>
 </section>
 <section id="dataarray">
-<h3>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this headline">#</a></h3>
+<h3>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this heading">#</a></h3>
 <p>The <code class="docutils literal notranslate"><span class="pre">DataArray</span></code> class consists of an array (data) and its associated dimension names, labels, and attributes (metadata).</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2991,7 +3008,7 @@ <h3>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this he
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-788614ed-9ff9-4a7e-970b-705c325e79b3' class='xr-array-in' type='checkbox' checked><label for='section-788614ed-9ff9-4a7e-970b-705c325e79b3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b0553eb7-7061-4807-87bd-f54383bbe9df' class='xr-array-in' type='checkbox' checked><label for='section-b0553eb7-7061-4807-87bd-f54383bbe9df' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -3031,26 +3048,26 @@ <h3>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this he
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9cac1ffd-66fd-4b09-854a-c003f5ae4eb7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9cac1ffd-66fd-4b09-854a-c003f5ae4eb7' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-5285f0d7-7bec-40cf-8f5e-1c43211ab8e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5285f0d7-7bec-40cf-8f5e-1c43211ab8e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50695006-88e9-4444-9eff-fe8aa6b8e4c8' class='xr-var-data-in' type='checkbox'><label for='data-50695006-88e9-4444-9eff-fe8aa6b8e4c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-313874ba-aaa0-4b69-acce-9b1eb7e8dd5f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-313874ba-aaa0-4b69-acce-9b1eb7e8dd5f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-f7b99bc4-7738-4b8a-9804-2540d8f0399b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7b99bc4-7738-4b8a-9804-2540d8f0399b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e43d49e3-1bb2-41f4-8a34-a318e5bc6920' class='xr-var-data-in' type='checkbox'><label for='data-e43d49e3-1bb2-41f4-8a34-a318e5bc6920' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-31ed1896-0f5c-4361-869b-b2c11a723198' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31ed1896-0f5c-4361-869b-b2c11a723198' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-821283e0-9b0e-4b9e-9ce4-3651756c1ea9' class='xr-var-data-in' type='checkbox'><label for='data-821283e0-9b0e-4b9e-9ce4-3651756c1ea9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-bcf3bf90-9281-455a-b5dc-7db1c8e3e322' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bcf3bf90-9281-455a-b5dc-7db1c8e3e322' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a4fab1a-93d4-44cd-8edf-ffc5afb17ee1' class='xr-var-data-in' type='checkbox'><label for='data-6a4fab1a-93d4-44cd-8edf-ffc5afb17ee1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-40f79218-712e-4706-9fc5-0255e1852c9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40f79218-712e-4706-9fc5-0255e1852c9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-408e25a8-2ade-47e4-989b-245bdf6b63b9' class='xr-var-data-in' type='checkbox'><label for='data-408e25a8-2ade-47e4-989b-245bdf6b63b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-c5632373-f864-4c10-8e8a-a28746e0b9f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5632373-f864-4c10-8e8a-a28746e0b9f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-196a9afa-bf93-47ee-850b-16939700a12c' class='xr-var-data-in' type='checkbox'><label for='data-196a9afa-bf93-47ee-850b-16939700a12c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b3e8538-079d-44a9-a9ed-23a03b55090f' class='xr-section-summary-in' type='checkbox'  ><label for='section-3b3e8538-079d-44a9-a9ed-23a03b55090f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-95f262ae-a210-4a17-a131-0e96c96d177a' class='xr-index-data-in' type='checkbox'/><label for='index-95f262ae-a210-4a17-a131-0e96c96d177a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8cdd119a-ba21-4315-b25e-9f1dd4b14b33' class='xr-section-summary-in' type='checkbox'  ><label for='section-8cdd119a-ba21-4315-b25e-9f1dd4b14b33' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7e1381a1-6cc1-41f4-9371-7375821f5881' class='xr-index-data-in' type='checkbox'/><label for='index-7e1381a1-6cc1-41f4-9371-7375821f5881' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-15d5e257-a131-4876-8e2e-490bb8ebf490' class='xr-index-data-in' type='checkbox'/><label for='index-15d5e257-a131-4876-8e2e-490bb8ebf490' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ab7f65b7-80b7-4ba3-839d-7c371e96d2f6' class='xr-index-data-in' type='checkbox'/><label for='index-ab7f65b7-80b7-4ba3-839d-7c371e96d2f6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b7fd7473-bd35-4fe1-bb5a-27ad0c9b671d' class='xr-index-data-in' type='checkbox'/><label for='index-b7fd7473-bd35-4fe1-bb5a-27ad0c9b671d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e18c8fb4-b14a-45fa-b07e-5b1d0a712ab2' class='xr-index-data-in' type='checkbox'/><label for='index-e18c8fb4-b14a-45fa-b07e-5b1d0a712ab2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3061,10 +3078,10 @@ <h3>DataArray<a class="headerlink" href="#dataarray" title="Permalink to this he
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64c290d6-a6fd-4425-8855-f6b56e595ca3' class='xr-section-summary-in' type='checkbox'  ><label for='section-64c290d6-a6fd-4425-8855-f6b56e595ca3' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4496a6c-852f-4f0e-a023-147157941ead' class='xr-section-summary-in' type='checkbox'  ><label for='section-c4496a6c-852f-4f0e-a023-147157941ead' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <section id="string-representations">
-<h4>String representations<a class="headerlink" href="#string-representations" title="Permalink to this headline">#</a></h4>
+<h4>String representations<a class="headerlink" href="#string-representations" title="Permalink to this heading">#</a></h4>
 <p>We can use the same two representations (<code class="docutils literal notranslate"><span class="pre">&quot;html&quot;</span></code>, which is only available in
 notebooks, and <code class="docutils literal notranslate"><span class="pre">&quot;text&quot;</span></code>) to display our <code class="docutils literal notranslate"><span class="pre">DataArray</span></code>.</p>
 <div class="cell docutils container">
@@ -3495,7 +3512,7 @@ <h4>String representations<a class="headerlink" href="#string-representations" t
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2179b091-9bef-4be0-abc1-256eb014246d' class='xr-array-in' type='checkbox' checked><label for='section-2179b091-9bef-4be0-abc1-256eb014246d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f7d5316d-62f4-412f-9a23-4de0e4c1d23e' class='xr-array-in' type='checkbox' checked><label for='section-f7d5316d-62f4-412f-9a23-4de0e4c1d23e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -3535,26 +3552,26 @@ <h4>String representations<a class="headerlink" href="#string-representations" t
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-5a7415b6-a4ce-4934-9ccc-7d068ee9f4f4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5a7415b6-a4ce-4934-9ccc-7d068ee9f4f4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-aba40f10-37b1-46f3-a6f5-b8217aa5e6ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aba40f10-37b1-46f3-a6f5-b8217aa5e6ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f22856fb-15f3-456d-88bc-b69d8cf29da3' class='xr-var-data-in' type='checkbox'><label for='data-f22856fb-15f3-456d-88bc-b69d8cf29da3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-2cbf334b-1385-4696-9d92-beca02d80e38' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2cbf334b-1385-4696-9d92-beca02d80e38' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-8cabb486-4cd7-400b-a719-3f1b72c82b08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cabb486-4cd7-400b-a719-3f1b72c82b08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa9ff965-6147-41df-bb3e-55c2fc2543c9' class='xr-var-data-in' type='checkbox'><label for='data-fa9ff965-6147-41df-bb3e-55c2fc2543c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-fbffbeb2-6d29-451f-8620-a75d08fb790d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbffbeb2-6d29-451f-8620-a75d08fb790d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e69ebc33-3163-4113-8d29-649e24e76c70' class='xr-var-data-in' type='checkbox'><label for='data-e69ebc33-3163-4113-8d29-649e24e76c70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-02190f65-2d31-4e04-ab2d-c4520a3e6252' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02190f65-2d31-4e04-ab2d-c4520a3e6252' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5dd26fb-478e-4e3d-ad91-b969af4514e3' class='xr-var-data-in' type='checkbox'><label for='data-a5dd26fb-478e-4e3d-ad91-b969af4514e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-3bada748-8f6a-436d-8d58-865dc0443de5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bada748-8f6a-436d-8d58-865dc0443de5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0aefb33d-010e-4ccb-addf-1454a28e7e67' class='xr-var-data-in' type='checkbox'><label for='data-0aefb33d-010e-4ccb-addf-1454a28e7e67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-3a227484-0ad4-44ea-ad1a-6e275da714b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a227484-0ad4-44ea-ad1a-6e275da714b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6c193c0-8902-4642-ab17-e4213b738ef6' class='xr-var-data-in' type='checkbox'><label for='data-b6c193c0-8902-4642-ab17-e4213b738ef6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d264a046-8ac3-4e16-bb55-2186cf1bef0f' class='xr-section-summary-in' type='checkbox'  ><label for='section-d264a046-8ac3-4e16-bb55-2186cf1bef0f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bc05f0aa-0b20-405c-9505-b0c96302fd18' class='xr-index-data-in' type='checkbox'/><label for='index-bc05f0aa-0b20-405c-9505-b0c96302fd18' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c180694e-1437-4bd0-b387-ece38c260f8a' class='xr-section-summary-in' type='checkbox'  ><label for='section-c180694e-1437-4bd0-b387-ece38c260f8a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-92691836-e1e1-4104-9183-51ee2cd36268' class='xr-index-data-in' type='checkbox'/><label for='index-92691836-e1e1-4104-9183-51ee2cd36268' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0209e077-2cc2-42ef-8551-b16db41da938' class='xr-index-data-in' type='checkbox'/><label for='index-0209e077-2cc2-42ef-8551-b16db41da938' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-390b2c44-8c6d-4065-956b-fc474c408a4a' class='xr-index-data-in' type='checkbox'/><label for='index-390b2c44-8c6d-4065-956b-fc474c408a4a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1245a551-cfdf-4078-8f27-8000c626d053' class='xr-index-data-in' type='checkbox'/><label for='index-1245a551-cfdf-4078-8f27-8000c626d053' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a64dc8f1-00d6-44dc-83cc-9dac7ffc2907' class='xr-index-data-in' type='checkbox'/><label for='index-a64dc8f1-00d6-44dc-83cc-9dac7ffc2907' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3565,7 +3582,7 @@ <h4>String representations<a class="headerlink" href="#string-representations" t
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
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-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
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 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
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+
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-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
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 `);
 </script>
@@ -538,12 +555,12 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="indexing-and-selecting-data">
-<h1>Indexing and Selecting Data<a class="headerlink" href="#indexing-and-selecting-data" title="Permalink to this headline">#</a></h1>
+<h1>Indexing and Selecting Data<a class="headerlink" href="#indexing-and-selecting-data" title="Permalink to this heading">#</a></h1>
 <section id="learning-objectives">
-<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this headline">#</a></h2>
+<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>Understanding the difference between position and label-based indexing</p></li>
 <li><p>Select data by position using <code class="docutils literal notranslate"><span class="pre">.isel</span></code> with values or slices</p></li>
@@ -553,7 +570,7 @@ <h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="
 </ul>
 </section>
 <section id="introduction">
-<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this headline">#</a></h2>
+<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this heading">#</a></h2>
 <p>Xarray offers extremely flexible indexing routines that combine the best features of NumPy and Pandas for data selection.</p>
 <p>The most basic way to access elements of a <code class="docutils literal notranslate"><span class="pre">DataArray</span></code> object is to use Python’s <code class="docutils literal notranslate"><span class="pre">[]</span></code> syntax, such as <code class="docutils literal notranslate"><span class="pre">array[i,</span> <span class="pre">j]</span></code>, where <code class="docutils literal notranslate"><span class="pre">i</span></code> and <code class="docutils literal notranslate"><span class="pre">j</span></code> are both integers.</p>
 <p>As xarray objects can store coordinates corresponding to each dimension of an array, label-based indexing is also possible (e.g. <code class="docutils literal notranslate"><span class="pre">.sel(latitude=0)</span></code>, similar to <code class="docutils literal notranslate"><span class="pre">pandas.DataFrame.loc</span></code>). In label-based indexing, the element position <code class="docutils literal notranslate"><span class="pre">i</span></code> is automatically looked-up from the coordinate values.</p>
@@ -561,7 +578,7 @@ <h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to t
 <p>This indexing and selection capability of Xarray not only enhances data exploration and analysis workflows but also promotes reproducibility and efficiency by providing a convenient interface for working with multi-dimensional data structures.</p>
 </section>
 <section id="quick-overview">
-<h2>Quick Overview<a class="headerlink" href="#quick-overview" title="Permalink to this headline">#</a></h2>
+<h2>Quick Overview<a class="headerlink" href="#quick-overview" title="Permalink to this heading">#</a></h2>
 <p>In total, xarray supports four different kinds of indexing, as described below and summarized in this table:</p>
 <table class="colwidths-auto table">
 <thead>
@@ -986,17 +1003,17 @@ <h2>Quick Overview<a class="headerlink" href="#quick-overview" title="Permalink
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Data variables:
     air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-e60e3071-17d3-4b97-ba4e-a924e7d19539' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e60e3071-17d3-4b97-ba4e-a924e7d19539' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-46b7509a-c611-4ded-893b-4bfca6677d7b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-46b7509a-c611-4ded-893b-4bfca6677d7b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-6bf87fc2-63ce-4eee-9283-2243b432c26c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bf87fc2-63ce-4eee-9283-2243b432c26c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ddf0ea7-fe4f-49de-977a-34b16f95887c' class='xr-var-data-in' type='checkbox'><label for='data-5ddf0ea7-fe4f-49de-977a-34b16f95887c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-354e30af-9fdb-4154-a563-72e1403179d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-354e30af-9fdb-4154-a563-72e1403179d7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-65cfbe2f-e513-4038-8390-e7be0770280a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-65cfbe2f-e513-4038-8390-e7be0770280a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-4fb8c0ce-432e-44f5-99ec-59672a9cacfe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fb8c0ce-432e-44f5-99ec-59672a9cacfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4181e001-52a4-4eeb-9613-e155d78c8534' class='xr-var-data-in' type='checkbox'><label for='data-4181e001-52a4-4eeb-9613-e155d78c8534' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ad517b4c-0ecf-4119-a4fc-ad7816efba4c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad517b4c-0ecf-4119-a4fc-ad7816efba4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db0e8735-7ef6-4352-aec7-7107fcd1d965' class='xr-var-data-in' type='checkbox'><label for='data-db0e8735-7ef6-4352-aec7-7107fcd1d965' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-58afb563-c3ef-43b2-b655-07228dfef0bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58afb563-c3ef-43b2-b655-07228dfef0bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a452cd35-28e9-43cf-bdc2-d59a2b807510' class='xr-var-data-in' type='checkbox'><label for='data-a452cd35-28e9-43cf-bdc2-d59a2b807510' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-4e5372b8-c44e-41ff-a2b2-1880e7e9ad91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e5372b8-c44e-41ff-a2b2-1880e7e9ad91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d69cea5-00f8-44cb-9a66-18149dc70f75' class='xr-var-data-in' type='checkbox'><label for='data-1d69cea5-00f8-44cb-9a66-18149dc70f75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-451be3cc-1d28-4d7c-84af-f470129c9881' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-451be3cc-1d28-4d7c-84af-f470129c9881' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78f7eb99-a8c0-400f-a14e-50e71d44527d' class='xr-var-data-in' type='checkbox'><label for='data-78f7eb99-a8c0-400f-a14e-50e71d44527d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-699c1c2f-a8c1-42c6-9cd1-628b0515dea5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-699c1c2f-a8c1-42c6-9cd1-628b0515dea5' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-db2c2997-1a36-4581-b5fc-640feb190c3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db2c2997-1a36-4581-b5fc-640feb190c3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cd09fa1-936d-4740-8e7d-823e83a45897' class='xr-var-data-in' type='checkbox'><label for='data-9cd09fa1-936d-4740-8e7d-823e83a45897' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-001c5b50-b6a8-4a0f-804d-6a29d3bc20f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-001c5b50-b6a8-4a0f-804d-6a29d3bc20f2' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-0e43b815-de74-4a01-ad6d-16c4934216a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e43b815-de74-4a01-ad6d-16c4934216a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34309e29-d1a6-45c4-b574-b7f82940d333' class='xr-var-data-in' type='checkbox'><label for='data-34309e29-d1a6-45c4-b574-b7f82940d333' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -1036,16 +1053,16 @@ <h2>Quick Overview<a class="headerlink" href="#quick-overview" title="Permalink
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c6c54b16-3e85-469a-a825-5f81be465c22' class='xr-section-summary-in' type='checkbox'  ><label for='section-c6c54b16-3e85-469a-a825-5f81be465c22' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1fac7b09-9739-442a-b0fc-706d5ffdf41b' class='xr-index-data-in' type='checkbox'/><label for='index-1fac7b09-9739-442a-b0fc-706d5ffdf41b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-48c09d63-5b6e-46e5-90bd-5d29d86fcbd2' class='xr-section-summary-in' type='checkbox'  ><label for='section-48c09d63-5b6e-46e5-90bd-5d29d86fcbd2' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ad5425be-062e-42d1-9b1b-aea28bdf4861' class='xr-index-data-in' type='checkbox'/><label for='index-ad5425be-062e-42d1-9b1b-aea28bdf4861' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6f029d9f-f879-4979-bf68-1fac0355d9d2' class='xr-index-data-in' type='checkbox'/><label for='index-6f029d9f-f879-4979-bf68-1fac0355d9d2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-26c61f4e-da97-45d5-a533-4a2b89a4c6c4' class='xr-index-data-in' type='checkbox'/><label for='index-26c61f4e-da97-45d5-a533-4a2b89a4c6c4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1df29ecf-26a8-4449-b884-2f7a7ec59491' class='xr-index-data-in' type='checkbox'/><label for='index-1df29ecf-26a8-4449-b884-2f7a7ec59491' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-faaf4582-2352-436c-8bf2-8b4b469d5382' class='xr-index-data-in' type='checkbox'/><label for='index-faaf4582-2352-436c-8bf2-8b4b469d5382' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1056,7 +1073,7 @@ <h2>Quick Overview<a class="headerlink" href="#quick-overview" title="Permalink
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2479069c-5352-4bcd-8090-909013db33f5' class='xr-section-summary-in' type='checkbox'  ><label for='section-2479069c-5352-4bcd-8090-909013db33f5' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-13d8b7a8-185a-4447-9c0a-caf9b1ecb123' class='xr-section-summary-in' type='checkbox'  ><label for='section-13d8b7a8-185a-4447-9c0a-caf9b1ecb123' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -1068,10 +1085,10 @@ <h2>Quick Overview<a class="headerlink" href="#quick-overview" title="Permalink
 </div>
 </section>
 <section id="position-based-indexing">
-<h2>Position-based Indexing<a class="headerlink" href="#position-based-indexing" title="Permalink to this headline">#</a></h2>
+<h2>Position-based Indexing<a class="headerlink" href="#position-based-indexing" title="Permalink to this heading">#</a></h2>
 <p>Indexing a <code class="docutils literal notranslate"><span class="pre">DataArray</span></code> directly works (mostly) just like it does for numpy <code class="docutils literal notranslate"><span class="pre">ndarrays</span></code>, except that the returned object is always another <code class="docutils literal notranslate"><span class="pre">DataArray</span></code>:</p>
 <section id="numpy-positional-indexing">
-<h3>NumPy Positional Indexing<a class="headerlink" href="#numpy-positional-indexing" title="Permalink to this headline">#</a></h3>
+<h3>NumPy Positional Indexing<a class="headerlink" href="#numpy-positional-indexing" title="Permalink to this heading">#</a></h3>
 <p>When working with numpy, indexing is done by position (slices/ranges/scalars).</p>
 <p>For example:</p>
 <div class="cell docutils container">
@@ -1116,11 +1133,11 @@ <h3>NumPy Positional Indexing<a class="headerlink" href="#numpy-positional-index
 </div>
 </section>
 <section id="positional-indexing-with-xarray">
-<h3>Positional Indexing with Xarray<a class="headerlink" href="#positional-indexing-with-xarray" title="Permalink to this headline">#</a></h3>
+<h3>Positional Indexing with Xarray<a class="headerlink" href="#positional-indexing-with-xarray" title="Permalink to this heading">#</a></h3>
 <p>Xarray offers extremely flexible indexing routines that combine the best
 features of NumPy and pandas for data selection.</p>
 <section id="numpy-style-indexing-with-xarray">
-<h4>NumPy style indexing with Xarray<a class="headerlink" href="#numpy-style-indexing-with-xarray" title="Permalink to this headline">#</a></h4>
+<h4>NumPy style indexing with Xarray<a class="headerlink" href="#numpy-style-indexing-with-xarray" title="Permalink to this heading">#</a></h4>
 <p>NumPy style indexing works exactly the same with Xarray but it also preserves labels and metadata.</p>
 <p>This approach however does not take advantage of the dimension names and coordinate location information that is present in a Xarray object.</p>
 <div class="cell docutils container">
@@ -1499,10 +1516,10 @@ <h4>NumPy style indexing with Xarray<a class="headerlink" href="#numpy-style-ind
     lat      float32 25.0
     lon      float32 300.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
-Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dcc2f51c-5826-4a4b-8ebe-97901be6651b' class='xr-array-in' type='checkbox' ><label for='section-dcc2f51c-5826-4a4b-8ebe-97901be6651b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>295.0 294.4 294.5 295.4 295.2 294.4 ... 297.7 297.3 297.3 297.8 298.0</span></div><div class='xr-array-data'><pre>array([295.  , 294.4 , 294.5 , ..., 297.29, 297.79, 297.99], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-758d28dc-18ba-4e06-b60f-47155ba5aae1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-758d28dc-18ba-4e06-b60f-47155ba5aae1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>25.0</div><input id='attrs-ab30a917-fe73-4bf4-a356-8851ce52fb81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab30a917-fe73-4bf4-a356-8851ce52fb81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a72de4b2-40c3-4c9d-acb6-fc00cbf9ec6a' class='xr-var-data-in' type='checkbox'><label for='data-a72de4b2-40c3-4c9d-acb6-fc00cbf9ec6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(25., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>300.0</div><input id='attrs-28bfa7f9-0f89-4aa2-a93a-595baa78f765' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28bfa7f9-0f89-4aa2-a93a-595baa78f765' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-052d8d87-e45c-49d5-950e-e7aba8efae28' class='xr-var-data-in' type='checkbox'><label for='data-052d8d87-e45c-49d5-950e-e7aba8efae28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(300., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-d0447e08-e6d0-485e-b8d7-b56c9454f023' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0447e08-e6d0-485e-b8d7-b56c9454f023' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a2bb31a-3d74-49ab-b2c6-cc05b9224b63' class='xr-var-data-in' type='checkbox'><label for='data-5a2bb31a-3d74-49ab-b2c6-cc05b9224b63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-50d4f49b-d63b-4f3d-8f2a-747584d2022d' class='xr-array-in' type='checkbox' ><label for='section-50d4f49b-d63b-4f3d-8f2a-747584d2022d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>295.0 294.4 294.5 295.4 295.2 294.4 ... 297.7 297.3 297.3 297.8 298.0</span></div><div class='xr-array-data'><pre>array([295.  , 294.4 , 294.5 , ..., 297.29, 297.79, 297.99], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-cdd66065-5613-41a0-972b-2808c22a94db' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cdd66065-5613-41a0-972b-2808c22a94db' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>25.0</div><input id='attrs-6e90025a-2b6a-4757-8ca9-f912a061c500' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e90025a-2b6a-4757-8ca9-f912a061c500' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-273e0f4d-3e7e-4383-ac5d-0aaa130c4d5d' class='xr-var-data-in' type='checkbox'><label for='data-273e0f4d-3e7e-4383-ac5d-0aaa130c4d5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(25., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>300.0</div><input id='attrs-604214af-eee2-4e55-9ca8-1eeb14a3194e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-604214af-eee2-4e55-9ca8-1eeb14a3194e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5061ebe-5b08-48b4-992d-25da31ba37ad' class='xr-var-data-in' type='checkbox'><label for='data-f5061ebe-5b08-48b4-992d-25da31ba37ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(300., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-b812d532-e219-4232-a001-c4374fb18dc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b812d532-e219-4232-a001-c4374fb18dc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fc51379-7d20-407f-bf26-afb478324ccd' class='xr-var-data-in' type='checkbox'><label for='data-1fc51379-7d20-407f-bf26-afb478324ccd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c77ac32a-a41a-4eb4-a7f1-04e63ae2f14c' class='xr-section-summary-in' type='checkbox'  ><label for='section-c77ac32a-a41a-4eb4-a7f1-04e63ae2f14c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-98efe0a8-4b5f-4a22-8094-06bd15a0616c' class='xr-index-data-in' type='checkbox'/><label for='index-98efe0a8-4b5f-4a22-8094-06bd15a0616c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c8da492e-8a50-4353-9392-86d38751baf9' class='xr-section-summary-in' type='checkbox'  ><label for='section-c8da492e-8a50-4353-9392-86d38751baf9' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e6751281-9bf8-43f3-b9b5-3fc87549a72e' class='xr-index-data-in' type='checkbox'/><label for='index-e6751281-9bf8-43f3-b9b5-3fc87549a72e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1513,11 +1530,11 @@ <h4>NumPy style indexing with Xarray<a class="headerlink" href="#numpy-style-ind
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-92b3a21b-d344-4f8d-b88b-5c1c0a5de85e' class='xr-section-summary-in' type='checkbox'  ><label for='section-92b3a21b-d344-4f8d-b88b-5c1c0a5de85e' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c9a8e03-6401-412d-a3c9-991becf6dce7' class='xr-section-summary-in' type='checkbox'  ><label for='section-2c9a8e03-6401-412d-a3c9-991becf6dce7' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="positional-indexing-using-dimension-names">
-<h4>Positional Indexing Using Dimension Names<a class="headerlink" href="#positional-indexing-using-dimension-names" title="Permalink to this headline">#</a></h4>
+<h4>Positional Indexing Using Dimension Names<a class="headerlink" href="#positional-indexing-using-dimension-names" title="Permalink to this heading">#</a></h4>
 <p>Remembering the axis order can be challenging even with 2D arrays:</p>
 <ul class="simple">
 <li><p>is <code class="docutils literal notranslate"><span class="pre">np_array[0,3]</span></code> the first row and third column or first column and third row?</p></li>
@@ -1532,7 +1549,7 @@ <h4>Positional Indexing Using Dimension Names<a class="headerlink" href="#positi
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/af7c0b63c70200caf8d24b3d3108bd3225fab7c2e60c417dc16200cbd760e077.png" src="../_images/af7c0b63c70200caf8d24b3d3108bd3225fab7c2e60c417dc16200cbd760e077.png" />
+<img alt="../_images/0a2dd251fce288c3ed2c62a902d22b7b25777b6b6c3ff3292427eb45d666f4cb.png" src="../_images/0a2dd251fce288c3ed2c62a902d22b7b25777b6b6c3ff3292427eb45d666f4cb.png" />
 </div>
 </div>
 <p>Slicing is also possible similarly:</p>
@@ -1543,7 +1560,7 @@ <h4>Positional Indexing Using Dimension Names<a class="headerlink" href="#positi
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/ba318b82baf64b2e9be0b631e128387023521fd25f633400ec4b3fc94ad1d04d.png" src="../_images/ba318b82baf64b2e9be0b631e128387023521fd25f633400ec4b3fc94ad1d04d.png" />
+<img alt="../_images/1f78207b260f04b69206c885d80d1edb313e48dbd93bc4bde5a47e8f0b35bfd9.png" src="../_images/1f78207b260f04b69206c885d80d1edb313e48dbd93bc4bde5a47e8f0b35bfd9.png" />
 </div>
 </div>
 <div class="admonition note">
@@ -1590,7 +1607,7 @@ <h4>Positional Indexing Using Dimension Names<a class="headerlink" href="#positi
 </section>
 </section>
 <section id="label-based-indexing">
-<h2>Label-based Indexing<a class="headerlink" href="#label-based-indexing" title="Permalink to this headline">#</a></h2>
+<h2>Label-based Indexing<a class="headerlink" href="#label-based-indexing" title="Permalink to this heading">#</a></h2>
 <p>To select data by coordinate labels instead of integer indices we can use the same syntax, using <code class="docutils literal notranslate"><span class="pre">sel</span></code> instead of <code class="docutils literal notranslate"><span class="pre">isel</span></code>:</p>
 <p>For example, let’s select all data for Lat 25 °N and Lon 210 °E using <code class="docutils literal notranslate"><span class="pre">sel</span></code> :</p>
 <div class="cell tag_hide-output docutils container">
@@ -1605,7 +1622,7 @@ <h2>Label-based Indexing<a class="headerlink" href="#label-based-indexing" title
 <span class="expanded">Hide code cell output</span>
 </summary>
 <div class="cell_output docutils container">
-<img alt="../_images/d8c8e8c8aa327e53322d5e27d4b0090b2dbf3d2f76c107df62d061cdad1126ca.png" src="../_images/d8c8e8c8aa327e53322d5e27d4b0090b2dbf3d2f76c107df62d061cdad1126ca.png" />
+<img alt="../_images/d8d2c5513b08243e1365df41b9969228291256477b2b4db79457e59deecf7197.png" src="../_images/d8d2c5513b08243e1365df41b9969228291256477b2b4db79457e59deecf7197.png" />
 </div>
 </details>
 </div>
@@ -1987,7 +2004,7 @@ <h2>Label-based Indexing<a class="headerlink" href="#label-based-indexing" title
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * lon      (lon) float32 210.0 212.5 215.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
-Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-01771e62-9d90-491a-b17a-6cff24bf4233' class='xr-array-in' type='checkbox' ><label for='section-01771e62-9d90-491a-b17a-6cff24bf4233' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>244.1 243.9 243.6 243.4 242.4 241.7 ... 298.1 297.8 298.9 298.7 298.4</span></div><div class='xr-array-data'><pre>array([[[244.09999, 243.89   , 243.59999],
+Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f656f712-c670-4f57-a9c0-fcfea3c798d9' class='xr-array-in' type='checkbox' ><label for='section-f656f712-c670-4f57-a9c0-fcfea3c798d9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>244.1 243.9 243.6 243.4 242.4 241.7 ... 298.1 297.8 298.9 298.7 298.4</span></div><div class='xr-array-data'><pre>array([[[244.09999, 243.89   , 243.59999],
         [243.39   , 242.39   , 241.7    ],
         [246.     , 244.39   , 243.09999],
         ...,
@@ -2027,15 +2044,15 @@ <h2>Label-based Indexing<a class="headerlink" href="#label-based-indexing" title
         ...,
         [297.29   , 297.29   , 297.38998],
         [298.19   , 298.09   , 297.79   ],
-        [298.88998, 298.69   , 298.38998]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-807b8887-c761-488c-ab09-3bb5e79a6c59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-807b8887-c761-488c-ab09-3bb5e79a6c59' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-49dfca74-e55d-4015-a836-7fb6b8cf6b11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49dfca74-e55d-4015-a836-7fb6b8cf6b11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3182649e-ed65-4b1c-88e5-045900db5cd6' class='xr-var-data-in' type='checkbox'><label for='data-3182649e-ed65-4b1c-88e5-045900db5cd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        [298.88998, 298.69   , 298.38998]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-80911f93-3038-405f-900d-ab7207411649' class='xr-section-summary-in' type='checkbox'  checked><label for='section-80911f93-3038-405f-900d-ab7207411649' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-178b59ec-a1b3-4534-a05f-1bdb65f7e62a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-178b59ec-a1b3-4534-a05f-1bdb65f7e62a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-100a96c0-9e01-4a37-9bc3-10d7280e0b82' class='xr-var-data-in' type='checkbox'><label for='data-100a96c0-9e01-4a37-9bc3-10d7280e0b82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>210.0 212.5 215.0</div><input id='attrs-09f4fdf4-93ef-41e9-a940-d7353e874f02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09f4fdf4-93ef-41e9-a940-d7353e874f02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6523bb72-8b2e-440a-a62f-0af944100e1f' class='xr-var-data-in' type='checkbox'><label for='data-6523bb72-8b2e-440a-a62f-0af944100e1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([210. , 212.5, 215. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-95373291-3645-42d9-ab0d-ececf46b9170' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95373291-3645-42d9-ab0d-ececf46b9170' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e75c0c5b-1bd2-4275-b942-9d6f05ed1d16' class='xr-var-data-in' type='checkbox'><label for='data-e75c0c5b-1bd2-4275-b942-9d6f05ed1d16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>210.0 212.5 215.0</div><input id='attrs-d3ae3d96-a5d1-48a7-b9d1-d301022d7a7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3ae3d96-a5d1-48a7-b9d1-d301022d7a7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ae465c7-9cfb-4354-94c4-edfdaf197497' class='xr-var-data-in' type='checkbox'><label for='data-4ae465c7-9cfb-4354-94c4-edfdaf197497' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([210. , 212.5, 215. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-bd989306-f7c2-4578-b9be-f7450210898a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd989306-f7c2-4578-b9be-f7450210898a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03c19b03-7503-4b7b-82f2-52934bec6a57' class='xr-var-data-in' type='checkbox'><label for='data-03c19b03-7503-4b7b-82f2-52934bec6a57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0644b0cb-2183-4990-b6d3-66489afd6155' class='xr-section-summary-in' type='checkbox'  ><label for='section-0644b0cb-2183-4990-b6d3-66489afd6155' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a85c4e07-ca82-47c3-883a-f553fd03d40d' class='xr-index-data-in' type='checkbox'/><label for='index-a85c4e07-ca82-47c3-883a-f553fd03d40d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c290f85-e512-4cd3-84f9-a31242b5cadc' class='xr-section-summary-in' type='checkbox'  ><label for='section-0c290f85-e512-4cd3-84f9-a31242b5cadc' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7a66fe9b-937e-4749-9d3d-24cc6d231d64' class='xr-index-data-in' type='checkbox'/><label for='index-7a66fe9b-937e-4749-9d3d-24cc6d231d64' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-53be522c-8cdf-4785-9b37-18c984e6a621' class='xr-index-data-in' type='checkbox'/><label for='index-53be522c-8cdf-4785-9b37-18c984e6a621' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([210.0, 212.5, 215.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-669d3bd3-37b2-41bd-9622-adf983235efa' class='xr-index-data-in' type='checkbox'/><label for='index-669d3bd3-37b2-41bd-9622-adf983235efa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-98b8374e-40d4-4886-b9bd-82af73d6c0d9' class='xr-index-data-in' type='checkbox'/><label for='index-98b8374e-40d4-4886-b9bd-82af73d6c0d9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([210.0, 212.5, 215.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4cfdc52e-d33d-43dc-a9da-437f3c7b3fb0' class='xr-index-data-in' type='checkbox'/><label for='index-4cfdc52e-d33d-43dc-a9da-437f3c7b3fb0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2046,7 +2063,7 @@ <h2>Label-based Indexing<a class="headerlink" href="#label-based-indexing" title
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2d79fc53-9f08-46c7-baec-afc3fbb20074' class='xr-section-summary-in' type='checkbox'  ><label for='section-2d79fc53-9f08-46c7-baec-afc3fbb20074' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-695a2768-70de-47ab-aa4c-9b1ea28ac7a1' class='xr-section-summary-in' type='checkbox'  ><label for='section-695a2768-70de-47ab-aa4c-9b1ea28ac7a1' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2425,7 +2442,7 @@ <h2>Label-based Indexing<a class="headerlink" href="#label-based-indexing" title
   * lat      (lat) float32 50.0 47.5 45.0 42.5 40.0 ... 35.0 32.5 30.0 27.5 25.0
   * lon      (lon) float32 210.0 212.5 215.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
-Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 11</li><li><span class='xr-has-index'>lon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f123f86a-5993-44a1-8768-8152bbb03059' class='xr-array-in' type='checkbox' ><label for='section-f123f86a-5993-44a1-8768-8152bbb03059' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>279.5 280.1 280.6 279.4 280.3 281.3 ... 294.6 294.2 295.5 295.6 295.1</span></div><div class='xr-array-data'><pre>array([[[279.5    , 280.1    , 280.6    ],
+Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 11</li><li><span class='xr-has-index'>lon</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dc73f2cd-5a67-4730-a075-667508c1efbd' class='xr-array-in' type='checkbox' ><label for='section-dc73f2cd-5a67-4730-a075-667508c1efbd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>279.5 280.1 280.6 279.4 280.3 281.3 ... 294.6 294.2 295.5 295.6 295.1</span></div><div class='xr-array-data'><pre>array([[[279.5    , 280.1    , 280.6    ],
         [279.4    , 280.29   , 281.29   ],
         [280.29   , 282.     , 283.29   ],
         ...,
@@ -2465,11 +2482,11 @@ <h2>Label-based Indexing<a class="headerlink" href="#label-based-indexing" title
         ...,
         [293.59   , 293.59   , 293.49   ],
         [294.99   , 294.59   , 294.19   ],
-        [295.49   , 295.59   , 295.09   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-1685123b-63b6-450e-bb7c-5603a2c25b0c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1685123b-63b6-450e-bb7c-5603a2c25b0c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0 47.5 45.0 ... 30.0 27.5 25.0</div><input id='attrs-b1458fd2-4f41-4516-b2e1-b89ca6b9369a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1458fd2-4f41-4516-b2e1-b89ca6b9369a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bba3b10a-edc5-4cf9-ac91-457030e24134' class='xr-var-data-in' type='checkbox'><label for='data-bba3b10a-edc5-4cf9-ac91-457030e24134' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([50. , 47.5, 45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. ],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>210.0 212.5 215.0</div><input id='attrs-27498ad9-7025-4165-a0ea-f2ff8771426c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27498ad9-7025-4165-a0ea-f2ff8771426c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c15b5d56-0d02-413c-9a23-2e4b642338ab' class='xr-var-data-in' type='checkbox'><label for='data-c15b5d56-0d02-413c-9a23-2e4b642338ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([210. , 212.5, 215. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-7358a532-6159-4bf3-8e47-4e18e75b1435' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7358a532-6159-4bf3-8e47-4e18e75b1435' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5853f4fc-f578-466f-a8e6-ae0f2106cff9' class='xr-var-data-in' type='checkbox'><label for='data-5853f4fc-f578-466f-a8e6-ae0f2106cff9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+        [295.49   , 295.59   , 295.09   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-5150a06c-6b8c-4674-bb9a-3671b3063e75' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5150a06c-6b8c-4674-bb9a-3671b3063e75' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0 47.5 45.0 ... 30.0 27.5 25.0</div><input id='attrs-9229d596-d964-4534-beb3-04ad90b106fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9229d596-d964-4534-beb3-04ad90b106fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33fd4bac-1576-49ae-b2eb-a9e56bab04e1' class='xr-var-data-in' type='checkbox'><label for='data-33fd4bac-1576-49ae-b2eb-a9e56bab04e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([50. , 47.5, 45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. ],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>210.0 212.5 215.0</div><input id='attrs-8a09b833-b8f1-4449-b056-fe842a4ef839' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a09b833-b8f1-4449-b056-fe842a4ef839' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60a29fb2-39c0-4330-9389-e2daf53a994d' class='xr-var-data-in' type='checkbox'><label for='data-60a29fb2-39c0-4330-9389-e2daf53a994d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([210. , 212.5, 215. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-cd7a5cde-d801-459a-b648-e9f303855289' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd7a5cde-d801-459a-b648-e9f303855289' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0d949a6-76fb-46e2-8d6c-16cbb78f2f97' class='xr-var-data-in' type='checkbox'><label for='data-a0d949a6-76fb-46e2-8d6c-16cbb78f2f97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7f018618-9d82-44e2-9e95-63eca17ffa18' class='xr-section-summary-in' type='checkbox'  ><label for='section-7f018618-9d82-44e2-9e95-63eca17ffa18' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-67f4a506-4ead-4b6e-82e0-01b30c00926d' class='xr-index-data-in' type='checkbox'/><label for='index-67f4a506-4ead-4b6e-82e0-01b30c00926d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0, 47.5, 45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-166feb96-98a2-49d0-8ced-ff964c60d1fc' class='xr-index-data-in' type='checkbox'/><label for='index-166feb96-98a2-49d0-8ced-ff964c60d1fc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([210.0, 212.5, 215.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9c8862e8-18af-4739-9803-62ca4cd2cd2f' class='xr-index-data-in' type='checkbox'/><label for='index-9c8862e8-18af-4739-9803-62ca4cd2cd2f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e09cc64-57aa-4eba-941d-8e1974ed10cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-3e09cc64-57aa-4eba-941d-8e1974ed10cc' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-779c76f7-b921-4573-8409-ad2482669511' class='xr-index-data-in' type='checkbox'/><label for='index-779c76f7-b921-4573-8409-ad2482669511' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([50.0, 47.5, 45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-adc45077-acd9-4bdf-9b9c-69c6c8ff4c48' class='xr-index-data-in' type='checkbox'/><label for='index-adc45077-acd9-4bdf-9b9c-69c6c8ff4c48' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([210.0, 212.5, 215.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f060666a-a916-41b6-be7b-c5cbb31af486' class='xr-index-data-in' type='checkbox'/><label for='index-f060666a-a916-41b6-be7b-c5cbb31af486' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2480,10 +2497,10 @@ <h2>Label-based Indexing<a class="headerlink" href="#label-based-indexing" title
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ed497306-68f4-4544-bb30-941bed2392b7' class='xr-section-summary-in' type='checkbox'  ><label for='section-ed497306-68f4-4544-bb30-941bed2392b7' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53a907ce-9469-437b-951a-b99dec93d87d' class='xr-section-summary-in' type='checkbox'  ><label for='section-53a907ce-9469-437b-951a-b99dec93d87d' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <section id="dropping-using-drop-sel">
-<h3>Dropping using <code class="docutils literal notranslate"><span class="pre">drop_sel</span></code><a class="headerlink" href="#dropping-using-drop-sel" title="Permalink to this headline">#</a></h3>
+<h3>Dropping using <code class="docutils literal notranslate"><span class="pre">drop_sel</span></code><a class="headerlink" href="#dropping-using-drop-sel" title="Permalink to this heading">#</a></h3>
 <p>If instead of selecting data we want to drop it, we can use <code class="docutils literal notranslate"><span class="pre">drop_sel</span></code> method with syntax similar to <code class="docutils literal notranslate"><span class="pre">sel</span></code>:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2861,7 +2878,7 @@ <h3>Dropping using <code class="docutils literal notranslate"><span class="pre">
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * lon      (lon) float32 202.5 205.0 207.5 210.0 ... 322.5 325.0 327.5 330.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
-Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 24</li><li><span class='xr-has-index'>lon</span>: 52</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c4131222-b0ac-479b-946a-027f57bbea70' class='xr-array-in' type='checkbox' ><label for='section-c4131222-b0ac-479b-946a-027f57bbea70' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>242.5 243.5 244.0 244.1 243.9 243.6 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[242.5    , 243.5    , 244.     , ..., 232.79999, 235.5    ,
+Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 24</li><li><span class='xr-has-index'>lon</span>: 52</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-51bd376f-15cc-43f3-9536-0e920e8a98cc' class='xr-array-in' type='checkbox' ><label for='section-51bd376f-15cc-43f3-9536-0e920e8a98cc' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>242.5 243.5 244.0 244.1 243.9 243.6 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[242.5    , 243.5    , 244.     , ..., 232.79999, 235.5    ,
          238.59999],
         [244.5    , 244.7    , 244.2    , ..., 232.79999, 235.29999,
          239.29999],
@@ -2901,25 +2918,25 @@ <h3>Dropping using <code class="docutils literal notranslate"><span class="pre">
         [296.88998, 297.19   , 297.49   , ..., 295.69   , 295.69   ,
          295.19   ],
         [298.09   , 298.09   , 298.49   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-4d593c7c-b4ca-49fc-a19c-902df005ce6b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4d593c7c-b4ca-49fc-a19c-902df005ce6b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-e76407d6-cd48-4cb5-b39f-e3720026565d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e76407d6-cd48-4cb5-b39f-e3720026565d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-515f95d8-96f3-4a7d-96b4-3e7e0543d1e3' class='xr-var-data-in' type='checkbox'><label for='data-515f95d8-96f3-4a7d-96b4-3e7e0543d1e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 47.5, 45. ,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-4c42321d-d756-4d64-bc24-ef9ec8dcedcc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c42321d-d756-4d64-bc24-ef9ec8dcedcc' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-99b08dcd-b875-448d-b4cc-2a957023a4e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99b08dcd-b875-448d-b4cc-2a957023a4e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-001181f7-8f63-499c-813c-12029114881e' class='xr-var-data-in' type='checkbox'><label for='data-001181f7-8f63-499c-813c-12029114881e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 47.5, 45. ,
        42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5, 15. ],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>202.5 205.0 207.5 ... 327.5 330.0</div><input id='attrs-3a379735-9d11-4ce3-acc0-8103d6e3e9c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a379735-9d11-4ce3-acc0-8103d6e3e9c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2767cb92-411b-4a16-a4f3-89c6dda0ffe4' class='xr-var-data-in' type='checkbox'><label for='data-2767cb92-411b-4a16-a4f3-89c6dda0ffe4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5, 225. ,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>202.5 205.0 207.5 ... 327.5 330.0</div><input id='attrs-8047d4b4-ff1e-46c9-90bc-76c23aa59d61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8047d4b4-ff1e-46c9-90bc-76c23aa59d61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f9deb3d-21e0-4181-b693-c3990ee6d862' class='xr-var-data-in' type='checkbox'><label for='data-6f9deb3d-21e0-4181-b693-c3990ee6d862' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5, 225. ,
        227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5, 250. ,
        252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5, 275. ,
        277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5, 300. ,
        302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5, 325. ,
-       327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9f4213e7-b481-49de-b50e-7ae496338443' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f4213e7-b481-49de-b50e-7ae496338443' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-83728ab5-1768-4589-b7c3-e50cf18d41bd' class='xr-var-data-in' type='checkbox'><label for='data-83728ab5-1768-4589-b7c3-e50cf18d41bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-11ff24f5-2458-45c9-80d1-caf209fc9776' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11ff24f5-2458-45c9-80d1-caf209fc9776' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-427b47f4-5ed5-4db1-8fb7-c37df222cd2a' class='xr-var-data-in' type='checkbox'><label for='data-427b47f4-5ed5-4db1-8fb7-c37df222cd2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0125e2b2-c4b4-4895-86a6-5b7041d1d600' class='xr-section-summary-in' type='checkbox'  ><label for='section-0125e2b2-c4b4-4895-86a6-5b7041d1d600' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-560ed617-1563-4ad1-a778-36f192c0f40c' class='xr-index-data-in' type='checkbox'/><label for='index-560ed617-1563-4ad1-a778-36f192c0f40c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 47.5, 45.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d3035be4-7e97-4560-95b3-7c75c4d4197a' class='xr-section-summary-in' type='checkbox'  ><label for='section-d3035be4-7e97-4560-95b3-7c75c4d4197a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b483d87b-3702-4807-ac76-046472a7c9e3' class='xr-index-data-in' type='checkbox'/><label for='index-b483d87b-3702-4807-ac76-046472a7c9e3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 47.5, 45.0,
        42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5, 15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e3b87835-2ce1-48a2-99ad-9fc2de131621' class='xr-index-data-in' type='checkbox'/><label for='index-e3b87835-2ce1-48a2-99ad-9fc2de131621' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5, 225.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4f1bfcd9-502d-4adf-a5bf-9d6c4fb791f0' class='xr-index-data-in' type='checkbox'/><label for='index-4f1bfcd9-502d-4adf-a5bf-9d6c4fb791f0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5, 225.0,
        227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5, 250.0,
        252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5, 275.0,
        277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5, 300.0,
        302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5, 325.0,
        327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-52523942-0cf8-48c7-8cbd-32a149bef01f' class='xr-index-data-in' type='checkbox'/><label for='index-52523942-0cf8-48c7-8cbd-32a149bef01f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-360e064d-d8d8-4380-8e32-cd50364bb643' class='xr-index-data-in' type='checkbox'/><label for='index-360e064d-d8d8-4380-8e32-cd50364bb643' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2930,13 +2947,13 @@ <h3>Dropping using <code class="docutils literal notranslate"><span class="pre">
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fecc1b56-72e1-407b-bf23-da8b2546d624' class='xr-section-summary-in' type='checkbox'  ><label for='section-fecc1b56-72e1-407b-bf23-da8b2546d624' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac94ecb2-1992-48a0-90e3-cf96e9c9cfe4' class='xr-section-summary-in' type='checkbox'  ><label for='section-ac94ecb2-1992-48a0-90e3-cf96e9c9cfe4' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>So far, all the above will require us to specify exact coordinate values, but what if we don’t have the exact values? We can use nearest neighbor lookups to address this issue:</p>
 </section>
 </section>
 <section id="nearest-neighbor-lookups">
-<h2>Nearest Neighbor Lookups<a class="headerlink" href="#nearest-neighbor-lookups" title="Permalink to this headline">#</a></h2>
+<h2>Nearest Neighbor Lookups<a class="headerlink" href="#nearest-neighbor-lookups" title="Permalink to this heading">#</a></h2>
 <p>The label based selection methods <code class="docutils literal notranslate"><span class="pre">sel()</span></code> support <code class="docutils literal notranslate"><span class="pre">method</span></code> and <code class="docutils literal notranslate"><span class="pre">tolerance</span></code> keyword argument. The <code class="docutils literal notranslate"><span class="pre">method</span></code> parameter allows for enabling nearest neighbor (inexact) lookups by use of the methods <code class="docutils literal notranslate"><span class="pre">pad</span></code>, <code class="docutils literal notranslate"><span class="pre">backfill</span></code> or <code class="docutils literal notranslate"><span class="pre">nearest</span></code>:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3314,11 +3331,11 @@ <h2>Nearest Neighbor Lookups<a class="headerlink" href="#nearest-neighbor-lookup
     lat      float32 52.5
     lon      float32 252.5
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
-Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0cbe5c63-f7fe-4164-87c0-a27df2e0c47e' class='xr-array-in' type='checkbox' ><label for='section-0cbe5c63-f7fe-4164-87c0-a27df2e0c47e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>262.7 263.2 270.9 274.1 273.3 270.6 ... 253.4 261.6 264.2 265.2 267.0</span></div><div class='xr-array-data'><pre>array([262.69998, 263.19998, 270.9    , ..., 264.19   , 265.19   ,
-       266.99   ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6a7c97b5-2869-4735-a443-8b2f13012dd6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a7c97b5-2869-4735-a443-8b2f13012dd6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>52.5</div><input id='attrs-64e650b2-2249-44dc-95e3-ef675e0e711a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64e650b2-2249-44dc-95e3-ef675e0e711a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc44567b-76de-4544-9b1d-12a59fd16202' class='xr-var-data-in' type='checkbox'><label for='data-dc44567b-76de-4544-9b1d-12a59fd16202' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(52.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.5</div><input id='attrs-d0e92ebb-c68a-4ffa-a639-1bbbbde916a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0e92ebb-c68a-4ffa-a639-1bbbbde916a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d94726e-2c03-4199-9601-6cb95d6f9343' class='xr-var-data-in' type='checkbox'><label for='data-4d94726e-2c03-4199-9601-6cb95d6f9343' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(252.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-f429bb78-ff16-4f98-a5de-dc2f4003e279' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f429bb78-ff16-4f98-a5de-dc2f4003e279' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1164b84-b7d8-49ab-b412-b356c90c33cc' class='xr-var-data-in' type='checkbox'><label for='data-d1164b84-b7d8-49ab-b412-b356c90c33cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2b9be8da-4a0a-4453-a1f1-9bfcebac5d38' class='xr-array-in' type='checkbox' ><label for='section-2b9be8da-4a0a-4453-a1f1-9bfcebac5d38' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>262.7 263.2 270.9 274.1 273.3 270.6 ... 253.4 261.6 264.2 265.2 267.0</span></div><div class='xr-array-data'><pre>array([262.69998, 263.19998, 270.9    , ..., 264.19   , 265.19   ,
+       266.99   ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-173dc117-44cd-4414-9c24-6a6330624fbe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-173dc117-44cd-4414-9c24-6a6330624fbe' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>52.5</div><input id='attrs-398cce56-7cba-423c-8541-222c716a9d7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-398cce56-7cba-423c-8541-222c716a9d7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ee4b49d-446d-468b-ab35-1348ceaca3fb' class='xr-var-data-in' type='checkbox'><label for='data-9ee4b49d-446d-468b-ab35-1348ceaca3fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(52.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.5</div><input id='attrs-0188cec1-c887-4ffe-bd06-c1c31b3ac582' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0188cec1-c887-4ffe-bd06-c1c31b3ac582' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da6cad59-203f-43b1-b463-385174f71955' class='xr-var-data-in' type='checkbox'><label for='data-da6cad59-203f-43b1-b463-385174f71955' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(252.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-d3eb3e26-4d70-41e0-a345-e4eab4dc7ec4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3eb3e26-4d70-41e0-a345-e4eab4dc7ec4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e716bb74-6dd6-4627-acc2-dc1a876f45ad' class='xr-var-data-in' type='checkbox'><label for='data-e716bb74-6dd6-4627-acc2-dc1a876f45ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d6726ae1-03d9-4e35-8f84-665d3af12069' class='xr-section-summary-in' type='checkbox'  ><label for='section-d6726ae1-03d9-4e35-8f84-665d3af12069' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f422da34-5216-49f8-9346-fa6cf78f08c5' class='xr-index-data-in' type='checkbox'/><label for='index-f422da34-5216-49f8-9346-fa6cf78f08c5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f813d227-9c57-4db7-bc3b-d16a04c1a985' class='xr-section-summary-in' type='checkbox'  ><label for='section-f813d227-9c57-4db7-bc3b-d16a04c1a985' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f8d62062-8ccb-4197-adb9-86c73b6f6366' class='xr-index-data-in' type='checkbox'/><label for='index-f8d62062-8ccb-4197-adb9-86c73b6f6366' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3329,7 +3346,7 @@ <h2>Nearest Neighbor Lookups<a class="headerlink" href="#nearest-neighbor-lookup
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fcb10476-5e2c-464b-9a10-58608813bd7f' class='xr-section-summary-in' type='checkbox'  ><label for='section-fcb10476-5e2c-464b-9a10-58608813bd7f' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d0c47bd-d458-4c8a-adad-81eb754c2caf' class='xr-section-summary-in' type='checkbox'  ><label for='section-6d0c47bd-d458-4c8a-adad-81eb754c2caf' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p><code class="docutils literal notranslate"><span class="pre">tolerance</span></code> argument limits the maximum distance for valid matches with an inexact lookup:</p>
 <div class="cell docutils container">
@@ -3708,11 +3725,11 @@ <h2>Nearest Neighbor Lookups<a class="headerlink" href="#nearest-neighbor-lookup
     lat      float32 52.5
     lon      float32 252.5
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
-Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6b11361e-f766-4ee6-9c86-1b90dd35eb85' class='xr-array-in' type='checkbox' ><label for='section-6b11361e-f766-4ee6-9c86-1b90dd35eb85' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>262.7 263.2 270.9 274.1 273.3 270.6 ... 253.4 261.6 264.2 265.2 267.0</span></div><div class='xr-array-data'><pre>array([262.69998, 263.19998, 270.9    , ..., 264.19   , 265.19   ,
-       266.99   ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-d074b141-d487-43be-ae16-5fb027c404c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d074b141-d487-43be-ae16-5fb027c404c4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>52.5</div><input id='attrs-6e4f33ff-2205-4410-901b-c63606176eb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e4f33ff-2205-4410-901b-c63606176eb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fac7afd-2edf-41e3-95eb-f9c1be299161' class='xr-var-data-in' type='checkbox'><label for='data-0fac7afd-2edf-41e3-95eb-f9c1be299161' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(52.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.5</div><input id='attrs-2aa7aae2-a9a0-4cae-b0df-79de63665f0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2aa7aae2-a9a0-4cae-b0df-79de63665f0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7577a70f-29f7-47bd-acb7-312effcb7149' class='xr-var-data-in' type='checkbox'><label for='data-7577a70f-29f7-47bd-acb7-312effcb7149' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(252.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-d3e5ec68-d6d0-4e77-a424-c4778018a0f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3e5ec68-d6d0-4e77-a424-c4778018a0f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6d0833b-c66b-4d29-9546-4c65fd5cbf1b' class='xr-var-data-in' type='checkbox'><label for='data-c6d0833b-c66b-4d29-9546-4c65fd5cbf1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cf3aabab-fe38-4619-ae94-784b0c58d80c' class='xr-array-in' type='checkbox' ><label for='section-cf3aabab-fe38-4619-ae94-784b0c58d80c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>262.7 263.2 270.9 274.1 273.3 270.6 ... 253.4 261.6 264.2 265.2 267.0</span></div><div class='xr-array-data'><pre>array([262.69998, 263.19998, 270.9    , ..., 264.19   , 265.19   ,
+       266.99   ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-64a75c7c-3798-4f5c-8e8d-0d6e4a11bc9d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-64a75c7c-3798-4f5c-8e8d-0d6e4a11bc9d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>52.5</div><input id='attrs-6afadbc7-3455-4453-bbd9-bbb8ba67f533' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6afadbc7-3455-4453-bbd9-bbb8ba67f533' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0188ae2-b77c-4360-801e-cd1cabcaac70' class='xr-var-data-in' type='checkbox'><label for='data-d0188ae2-b77c-4360-801e-cd1cabcaac70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(52.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.5</div><input id='attrs-c341b893-f296-4a3f-8c9d-476e866edb47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c341b893-f296-4a3f-8c9d-476e866edb47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9baf278-8e53-4656-b0da-b4b932d4dc2e' class='xr-var-data-in' type='checkbox'><label for='data-e9baf278-8e53-4656-b0da-b4b932d4dc2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(252.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-988cb2d6-7ef8-4102-83b4-c4f08db08593' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-988cb2d6-7ef8-4102-83b4-c4f08db08593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a19523f8-a445-4694-a593-b6e4e4047e78' class='xr-var-data-in' type='checkbox'><label for='data-a19523f8-a445-4694-a593-b6e4e4047e78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45d75451-083c-424e-95b5-82e4d0f8920c' class='xr-section-summary-in' type='checkbox'  ><label for='section-45d75451-083c-424e-95b5-82e4d0f8920c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7eb1cd94-434a-401a-abc5-27996a5e58e2' class='xr-index-data-in' type='checkbox'/><label for='index-7eb1cd94-434a-401a-abc5-27996a5e58e2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eac1745d-dffd-4ea3-b042-b574a4a7605b' class='xr-section-summary-in' type='checkbox'  ><label for='section-eac1745d-dffd-4ea3-b042-b574a4a7605b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-12318799-b5b3-4d8f-9d2d-73aa40c2356b' class='xr-index-data-in' type='checkbox'/><label for='index-12318799-b5b3-4d8f-9d2d-73aa40c2356b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3723,7 +3740,7 @@ <h2>Nearest Neighbor Lookups<a class="headerlink" href="#nearest-neighbor-lookup
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4eaa143b-e36b-4cb2-bdfe-a82e28223e59' class='xr-section-summary-in' type='checkbox'  ><label for='section-4eaa143b-e36b-4cb2-bdfe-a82e28223e59' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2b8552f4-c4ec-446b-803f-4892b8a5255d' class='xr-section-summary-in' type='checkbox'  ><label for='section-2b8552f4-c4ec-446b-803f-4892b8a5255d' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="admonition tip">
 <p class="admonition-title">Tip</p>
@@ -4108,11 +4125,11 @@ <h2>Nearest Neighbor Lookups<a class="headerlink" href="#nearest-neighbor-lookup
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Data variables:
     air      (time) float32 262.7 263.2 270.9 274.1 ... 261.6 264.2 265.2 267.0
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3a5ba465-3f26-4439-ab58-b2d48e35205d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a5ba465-3f26-4439-ab58-b2d48e35205d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a2b5f5a7-9157-43a8-b9e0-7c0a6c80f812' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a2b5f5a7-9157-43a8-b9e0-7c0a6c80f812' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>52.5</div><input id='attrs-1d3cd94d-d1f2-4427-b64c-d4e677754d2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d3cd94d-d1f2-4427-b64c-d4e677754d2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bb30454-348d-4fdd-8819-43bd2c5c0b41' class='xr-var-data-in' type='checkbox'><label for='data-2bb30454-348d-4fdd-8819-43bd2c5c0b41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(52.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.5</div><input id='attrs-9b8f7b8b-c92b-433e-8119-afa93dc58764' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b8f7b8b-c92b-433e-8119-afa93dc58764' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-973f0933-c870-4ed6-8cc2-810b46d37cc4' class='xr-var-data-in' type='checkbox'><label for='data-973f0933-c870-4ed6-8cc2-810b46d37cc4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(252.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-27ffb02c-5bdc-4a39-ab3f-45ad4d25c302' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27ffb02c-5bdc-4a39-ab3f-45ad4d25c302' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be67b6bb-4e0f-43de-ba8f-4ff63fb22224' class='xr-var-data-in' type='checkbox'><label for='data-be67b6bb-4e0f-43de-ba8f-4ff63fb22224' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-916b286e-b5e5-49d9-bc2f-e09236bddcc8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-916b286e-b5e5-49d9-bc2f-e09236bddcc8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-99e2ac2a-de21-448c-8568-271a7879bb14' class='xr-section-summary-in' type='checkbox'  checked><label for='section-99e2ac2a-de21-448c-8568-271a7879bb14' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>52.5</div><input id='attrs-d04ef27c-3d5a-41a1-86e3-4bea8e6e1f55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d04ef27c-3d5a-41a1-86e3-4bea8e6e1f55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60fe9c2d-8561-4f5e-bf1e-af41c2fc6190' class='xr-var-data-in' type='checkbox'><label for='data-60fe9c2d-8561-4f5e-bf1e-af41c2fc6190' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(52.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.5</div><input id='attrs-7e511935-1709-4816-aaa1-ba0f6eb0829d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e511935-1709-4816-aaa1-ba0f6eb0829d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c293b38-584c-4a32-aff0-8ae6e52ddd22' class='xr-var-data-in' type='checkbox'><label for='data-1c293b38-584c-4a32-aff0-8ae6e52ddd22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(252.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-d33057fe-864d-48e6-99d2-10741e53d53e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d33057fe-864d-48e6-99d2-10741e53d53e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe153256-e29b-4c0b-966f-957196ebebc1' class='xr-var-data-in' type='checkbox'><label for='data-fe153256-e29b-4c0b-966f-957196ebebc1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-142e63c4-07ae-4a47-9878-2ec0a4acf3b6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-142e63c4-07ae-4a47-9878-2ec0a4acf3b6' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>262.7 263.2 270.9 ... 265.2 267.0</div><input id='attrs-9cb5fb80-5189-4784-b8fb-cf69c4e7c2a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cb5fb80-5189-4784-b8fb-cf69c4e7c2a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a0d4b24-1eea-45b5-8b57-77ac385d3db8' class='xr-var-data-in' type='checkbox'><label for='data-7a0d4b24-1eea-45b5-8b57-77ac385d3db8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([262.69998, 263.19998, 270.9    , ..., 264.19   , 265.19   ,
-       266.99   ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-571386aa-81b2-4430-88b8-41977fd7df5d' class='xr-section-summary-in' type='checkbox'  ><label for='section-571386aa-81b2-4430-88b8-41977fd7df5d' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-07bd88db-80b6-49b2-9246-0bd1cfb51749' class='xr-index-data-in' type='checkbox'/><label for='index-07bd88db-80b6-49b2-9246-0bd1cfb51749' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bbc6ac99-8386-4bd4-94ff-be3029b2f519' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bbc6ac99-8386-4bd4-94ff-be3029b2f519' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>262.7 263.2 270.9 ... 265.2 267.0</div><input id='attrs-64f715a8-0a2d-469b-9261-c7f9da710ddf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64f715a8-0a2d-469b-9261-c7f9da710ddf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d380eb0d-8d2f-459d-bf5b-c1daeea5b901' class='xr-var-data-in' type='checkbox'><label for='data-d380eb0d-8d2f-459d-bf5b-c1daeea5b901' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([262.69998, 263.19998, 270.9    , ..., 264.19   , 265.19   ,
+       266.99   ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ed63de35-efea-4711-b0a8-cf0d494ae0d7' class='xr-section-summary-in' type='checkbox'  ><label for='section-ed63de35-efea-4711-b0a8-cf0d494ae0d7' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1bd8a17f-a2d6-4a55-b109-8ab13e21fa7d' class='xr-index-data-in' type='checkbox'/><label for='index-1bd8a17f-a2d6-4a55-b109-8ab13e21fa7d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -4123,16 +4140,16 @@ <h2>Nearest Neighbor Lookups<a class="headerlink" href="#nearest-neighbor-lookup
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1a5e518b-20c9-46cf-9e35-adb58a82fc63' class='xr-section-summary-in' type='checkbox'  ><label for='section-1a5e518b-20c9-46cf-9e35-adb58a82fc63' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-748f2761-a478-4a0e-9ffd-950c5643882b' class='xr-section-summary-in' type='checkbox'  ><label for='section-748f2761-a478-4a0e-9ffd-950c5643882b' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="datetime-indexing">
-<h2>Datetime Indexing<a class="headerlink" href="#datetime-indexing" title="Permalink to this headline">#</a></h2>
+<h2>Datetime Indexing<a class="headerlink" href="#datetime-indexing" title="Permalink to this heading">#</a></h2>
 <p>Datetime indexing is a critical feature when working with time series data, which is a common occurrence in many fields, including finance, economics, and environmental sciences. Essentially, datetime indexing allows you to select data points or a series of data points that correspond to certain date or time criteria. This becomes essential for time-series analysis where the date or time information associated with each data point can be as critical as the data point itself.</p>
 <p>Let’s see some of the techniques to perform datetime indexing in Xarray:</p>
 <section id="selecting-data-based-on-single-datetime">
-<h3>Selecting data based on single datetime<a class="headerlink" href="#selecting-data-based-on-single-datetime" title="Permalink to this headline">#</a></h3>
+<h3>Selecting data based on single datetime<a class="headerlink" href="#selecting-data-based-on-single-datetime" title="Permalink to this heading">#</a></h3>
 <p>Let’s say we have a Dataset ds and we want to select data at a particular date and time, for instance, ‘2013-01-01’ at 6AM. We can do this by using the <code class="docutils literal notranslate"><span class="pre">sel</span></code> (select) method, like so:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -4512,14 +4529,14 @@ <h3>Selecting data based on single datetime<a class="headerlink" href="#selectin
     time     datetime64[ns] 2013-01-01T06:00:00
 Data variables:
     air      (lat, lon) float32 242.1 242.7 243.1 243.4 ... 296.4 296.4 296.6
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-11d27416-fc41-4847-abf3-336bdd6b5114' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-11d27416-fc41-4847-abf3-336bdd6b5114' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b5f858bf-8e36-48f8-a1cf-0826c771fa9c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5f858bf-8e36-48f8-a1cf-0826c771fa9c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-b09ae11f-0ebb-4e9d-b74e-df950d9b25f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b09ae11f-0ebb-4e9d-b74e-df950d9b25f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b585f36a-b3dd-4687-b787-ad10cc8485f5' class='xr-var-data-in' type='checkbox'><label for='data-b585f36a-b3dd-4687-b787-ad10cc8485f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-adb598df-efc2-47e0-b133-a18ed2543f3c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-adb598df-efc2-47e0-b133-a18ed2543f3c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-541776b6-c8bf-4548-90e5-dd8d1b64f0f6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-541776b6-c8bf-4548-90e5-dd8d1b64f0f6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-550775b1-1827-4ed6-b8c1-1339ed8edc5f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-550775b1-1827-4ed6-b8c1-1339ed8edc5f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0764aa4c-3eeb-4a23-bd5e-664280e5cb5d' class='xr-var-data-in' type='checkbox'><label for='data-0764aa4c-3eeb-4a23-bd5e-664280e5cb5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-2ed9109d-3a5a-4d64-94b8-e9cbec57610c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ed9109d-3a5a-4d64-94b8-e9cbec57610c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-979479c6-e1a5-4e3a-a059-ebdeae01718b' class='xr-var-data-in' type='checkbox'><label for='data-979479c6-e1a5-4e3a-a059-ebdeae01718b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-4b4aa02d-bf5c-4b43-b9f1-d2a33c6cecf9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b4aa02d-bf5c-4b43-b9f1-d2a33c6cecf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31f3287c-5c90-4376-99c1-6cc7d0e2b05f' class='xr-var-data-in' type='checkbox'><label for='data-31f3287c-5c90-4376-99c1-6cc7d0e2b05f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01T06:00:00</div><input id='attrs-8c549a26-8d44-4f72-bc4a-9d9f9759196e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c549a26-8d44-4f72-bc4a-9d9f9759196e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1255df4-32c4-4162-845d-9026b9b6d50b' class='xr-var-data-in' type='checkbox'><label for='data-b1255df4-32c4-4162-845d-9026b9b6d50b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T06:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9cf535c7-2098-4dd9-a8e9-805562893da0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9cf535c7-2098-4dd9-a8e9-805562893da0' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>242.1 242.7 243.1 ... 296.4 296.6</div><input id='attrs-41ae3c79-6eda-416c-aec3-e35486d46d57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41ae3c79-6eda-416c-aec3-e35486d46d57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c7c79a1-07ad-499b-b785-6bbca6fea3b9' class='xr-var-data-in' type='checkbox'><label for='data-1c7c79a1-07ad-499b-b785-6bbca6fea3b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[242.09999, 242.7    , 243.09999, ..., 232.     , 233.59999,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01T06:00:00</div><input id='attrs-8ae7af98-d0dd-4ed9-97a3-5ba7fb90c613' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ae7af98-d0dd-4ed9-97a3-5ba7fb90c613' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b11d24fc-f1a9-47f2-80a5-a23f98c58426' class='xr-var-data-in' type='checkbox'><label for='data-b11d24fc-f1a9-47f2-80a5-a23f98c58426' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T06:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de807082-eec9-4a84-9c3f-fc694b195fbf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-de807082-eec9-4a84-9c3f-fc694b195fbf' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>242.1 242.7 243.1 ... 296.4 296.6</div><input id='attrs-4c81a018-eac5-4569-bd88-3d6ed7c7d9ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c81a018-eac5-4569-bd88-3d6ed7c7d9ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebcb8f51-0b1f-4d30-a758-679625129308' class='xr-var-data-in' type='checkbox'><label for='data-ebcb8f51-0b1f-4d30-a758-679625129308' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[242.09999, 242.7    , 243.09999, ..., 232.     , 233.59999,
         235.79999],
        [243.59999, 244.09999, 244.2    , ..., 231.     , 232.5    ,
         235.7    ],
@@ -4531,16 +4548,16 @@ <h3>Selecting data based on single datetime<a class="headerlink" href="#selectin
        [296.19998, 296.69998, 296.79   , ..., 295.6    , 295.5    ,
         295.1    ],
        [296.29   , 297.19998, 297.4    , ..., 296.4    , 296.4    ,
-        296.6    ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c7c152d-3ccf-4e0f-a1af-b9b7bd7e0e5c' class='xr-section-summary-in' type='checkbox'  ><label for='section-8c7c152d-3ccf-4e0f-a1af-b9b7bd7e0e5c' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a8485e3c-8b4f-4bd6-9345-bf13b84f130b' class='xr-index-data-in' type='checkbox'/><label for='index-a8485e3c-8b4f-4bd6-9345-bf13b84f130b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+        296.6    ]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba0020be-b75b-4aa9-9244-99027a7cc629' class='xr-section-summary-in' type='checkbox'  ><label for='section-ba0020be-b75b-4aa9-9244-99027a7cc629' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c18d33e4-8c87-4f91-8740-18edbc22b334' class='xr-index-data-in' type='checkbox'/><label for='index-c18d33e4-8c87-4f91-8740-18edbc22b334' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6444c0b2-e6b6-46c0-9fab-4cfb3b8054ef' class='xr-index-data-in' type='checkbox'/><label for='index-6444c0b2-e6b6-46c0-9fab-4cfb3b8054ef' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5ceb61ae-bc2a-4f80-8bb9-634e035a84f6' class='xr-index-data-in' type='checkbox'/><label for='index-5ceb61ae-bc2a-4f80-8bb9-634e035a84f6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b693f7d-fd2e-4f76-84b6-95afa8e23d14' class='xr-section-summary-in' type='checkbox'  ><label for='section-6b693f7d-fd2e-4f76-84b6-95afa8e23d14' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b0f756e-12c5-4d13-8118-15f105d08079' class='xr-section-summary-in' type='checkbox'  ><label for='section-0b0f756e-12c5-4d13-8118-15f105d08079' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>By default, datetime selection will return a range of values that match the provided string. For e.g. <code class="docutils literal notranslate"><span class="pre">time=&quot;2013-01-01&quot;</span></code> will return all timestamps for that day (4 of them here):</p>
@@ -4922,16 +4939,16 @@ <h3>Selecting data based on single datetime<a class="headerlink" href="#selectin
   * time     (time) datetime64[ns] 2013-01-01 ... 2013-01-01T18:00:00
 Data variables:
     air      (time, lat, lon) float32 241.2 242.5 243.5 ... 297.8 298.0 297.9
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7e06141e-047b-4410-ae3d-342ccd12aa5d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7e06141e-047b-4410-ae3d-342ccd12aa5d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cd3575ee-8a41-4fc5-a53f-0c9a950e1c79' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cd3575ee-8a41-4fc5-a53f-0c9a950e1c79' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-bfa1f4dd-ff0b-4b42-b558-a621820b24a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfa1f4dd-ff0b-4b42-b558-a621820b24a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af03111f-8802-4829-a360-3314c3998229' class='xr-var-data-in' type='checkbox'><label for='data-af03111f-8802-4829-a360-3314c3998229' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c9add026-bece-4b39-96fb-de5c2038cded' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c9add026-bece-4b39-96fb-de5c2038cded' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 4</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-82e7cd0c-7f70-4588-bbd5-a93386fd8a48' class='xr-section-summary-in' type='checkbox'  checked><label for='section-82e7cd0c-7f70-4588-bbd5-a93386fd8a48' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-5ee710db-3703-4197-987b-f28f3b2eb808' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ee710db-3703-4197-987b-f28f3b2eb808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43dd855b-a3f3-43ba-aa6e-536db9bfbfad' class='xr-var-data-in' type='checkbox'><label for='data-43dd855b-a3f3-43ba-aa6e-536db9bfbfad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-cfbf3e40-35e4-49a0-988b-725253a4ac1f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfbf3e40-35e4-49a0-988b-725253a4ac1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7307938-40f0-4741-a212-a483e635b739' class='xr-var-data-in' type='checkbox'><label for='data-e7307938-40f0-4741-a212-a483e635b739' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-147c8682-4bf8-4d92-8978-be3195ac86f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-147c8682-4bf8-4d92-8978-be3195ac86f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00799d17-cbb1-450e-91d6-b2c86f991a99' class='xr-var-data-in' type='checkbox'><label for='data-00799d17-cbb1-450e-91d6-b2c86f991a99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-593e27d2-66cd-40ce-969a-8e0f58413a10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-593e27d2-66cd-40ce-969a-8e0f58413a10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dbe30af-ea02-4528-8cd4-ce7adf133c0d' class='xr-var-data-in' type='checkbox'><label for='data-8dbe30af-ea02-4528-8cd4-ce7adf133c0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-01T18:00:00</div><input id='attrs-4bc86fd3-48df-482a-9fc7-41ceccb6040a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bc86fd3-48df-482a-9fc7-41ceccb6040a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-650e6191-bc1c-4574-9012-21f8fdd3daa4' class='xr-var-data-in' type='checkbox'><label for='data-650e6191-bc1c-4574-9012-21f8fdd3daa4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, &#x27;2013-01-01T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3cbe634c-28a6-43a7-ad98-a22f77d832a2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3cbe634c-28a6-43a7-ad98-a22f77d832a2' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 298.0 297.9</div><input id='attrs-e68405e1-f329-4b9b-a636-59c5f79075b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e68405e1-f329-4b9b-a636-59c5f79075b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d26abc2-8ddf-46c9-ba11-b054f82215f2' class='xr-var-data-in' type='checkbox'><label for='data-6d26abc2-8ddf-46c9-ba11-b054f82215f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-86072faa-2d55-45f9-a78e-0f8b820db6df' class='xr-section-summary-in' type='checkbox'  checked><label for='section-86072faa-2d55-45f9-a78e-0f8b820db6df' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 298.0 297.9</div><input id='attrs-29d5139c-11e3-4d83-8978-3a9eedefeb1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d5139c-11e3-4d83-8978-3a9eedefeb1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-130b9e9c-f594-4f07-bc16-cfef8fecc73c' class='xr-var-data-in' type='checkbox'><label for='data-130b9e9c-f594-4f07-bc16-cfef8fecc73c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -4971,18 +4988,18 @@ <h3>Selecting data based on single datetime<a class="headerlink" href="#selectin
         [297.     , 297.5    , 297.1    , ..., 296.79   , 296.6    ,
          296.29   ],
         [297.5    , 297.69998, 297.5    , ..., 297.79   , 298.     ,
-         297.9    ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f8246660-304b-4607-9581-033f9f738d1f' class='xr-section-summary-in' type='checkbox'  ><label for='section-f8246660-304b-4607-9581-033f9f738d1f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a591d20b-7579-4231-9f20-10178fa1738d' class='xr-index-data-in' type='checkbox'/><label for='index-a591d20b-7579-4231-9f20-10178fa1738d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         297.9    ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c136c38e-853b-4e51-b4a8-4a89de19a537' class='xr-section-summary-in' type='checkbox'  ><label for='section-c136c38e-853b-4e51-b4a8-4a89de19a537' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-22a7463b-1375-49b3-9cad-1bc9e2ada389' class='xr-index-data-in' type='checkbox'/><label for='index-22a7463b-1375-49b3-9cad-1bc9e2ada389' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-14df9f14-ad71-4fb2-90a4-ffdfb3d8d391' class='xr-index-data-in' type='checkbox'/><label for='index-14df9f14-ad71-4fb2-90a4-ffdfb3d8d391' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-da34aa1c-aaf7-4fec-b566-cb37439bacc4' class='xr-index-data-in' type='checkbox'/><label for='index-da34aa1c-aaf7-4fec-b566-cb37439bacc4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-07ea0ca5-ad79-44ce-bd14-6612619f31dd' class='xr-index-data-in' type='checkbox'/><label for='index-07ea0ca5-ad79-44ce-bd14-6612619f31dd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9c467786-a336-4349-b954-f26b903ef293' class='xr-index-data-in' type='checkbox'/><label for='index-9c467786-a336-4349-b954-f26b903ef293' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af91f4d6-58f7-45ee-a2b1-75cfea86fa43' class='xr-section-summary-in' type='checkbox'  ><label for='section-af91f4d6-58f7-45ee-a2b1-75cfea86fa43' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d65a28b-717e-4d00-8f7a-7ef7f06624fb' class='xr-section-summary-in' type='checkbox'  ><label for='section-0d65a28b-717e-4d00-8f7a-7ef7f06624fb' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>We can use this feature to select all points in a year:</p>
@@ -5364,17 +5381,17 @@ <h3>Selecting data based on single datetime<a class="headerlink" href="#selectin
   * time     (time) datetime64[ns] 2014-01-01 ... 2014-12-31T18:00:00
 Data variables:
     air      (time, lat, lon) float32 252.3 251.2 250.0 ... 296.5 296.2 295.7
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5efe1b67-fa74-4504-985b-8e0ae4aee61e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5efe1b67-fa74-4504-985b-8e0ae4aee61e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-141db47c-8e35-47c0-9bc8-88da0e8055d6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-141db47c-8e35-47c0-9bc8-88da0e8055d6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-f240775a-e492-4ebd-9a1a-6a5eece18a31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f240775a-e492-4ebd-9a1a-6a5eece18a31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17fc0d86-8589-4f05-8587-333af051f43c' class='xr-var-data-in' type='checkbox'><label for='data-17fc0d86-8589-4f05-8587-333af051f43c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1fa835bd-2b6f-403d-afe8-f35c98b634c4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1fa835bd-2b6f-403d-afe8-f35c98b634c4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6dd6c777-beac-47d0-b0ac-42ee1abc1c74' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6dd6c777-beac-47d0-b0ac-42ee1abc1c74' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-b1de7eb0-a7de-45a0-be73-3200e018d147' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1de7eb0-a7de-45a0-be73-3200e018d147' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5aa0c743-afa1-4d1e-985a-030b81b189b6' class='xr-var-data-in' type='checkbox'><label for='data-5aa0c743-afa1-4d1e-985a-030b81b189b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-b562e113-4a0b-4502-826f-091cdf03c5f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b562e113-4a0b-4502-826f-091cdf03c5f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bbef6fb-519e-45cd-8246-de155a16c06f' class='xr-var-data-in' type='checkbox'><label for='data-2bbef6fb-519e-45cd-8246-de155a16c06f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-2b6f56f3-6688-4149-bd0f-e3bc3326df0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b6f56f3-6688-4149-bd0f-e3bc3326df0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4192e30-aa31-41a2-908f-e8e24da1ca72' class='xr-var-data-in' type='checkbox'><label for='data-a4192e30-aa31-41a2-908f-e8e24da1ca72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-ce863aac-e634-40a8-9585-b9a91c65d7f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce863aac-e634-40a8-9585-b9a91c65d7f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eee20d70-8a54-4acb-8147-b835bf5c141f' class='xr-var-data-in' type='checkbox'><label for='data-eee20d70-8a54-4acb-8147-b835bf5c141f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-01-01T00:00:00.000000000&#x27;, &#x27;2014-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-bb21dae7-eb0a-4944-8b7e-161a8784350e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb21dae7-eb0a-4944-8b7e-161a8784350e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-103460a9-4f2f-4708-9347-9d9e44ee4b1a' class='xr-var-data-in' type='checkbox'><label for='data-103460a9-4f2f-4708-9347-9d9e44ee4b1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-01-01T00:00:00.000000000&#x27;, &#x27;2014-01-01T06:00:00.000000000&#x27;,
        &#x27;2014-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33011a5d-b2cf-4f57-ab91-5093bb51443d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-33011a5d-b2cf-4f57-ab91-5093bb51443d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.3 251.2 250.0 ... 296.2 295.7</div><input id='attrs-d5f2156c-c068-4b5c-82a5-69f827ad843e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5f2156c-c068-4b5c-82a5-69f827ad843e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-419506d3-f06b-415d-9955-ce5e4d743928' class='xr-var-data-in' type='checkbox'><label for='data-419506d3-f06b-415d-9955-ce5e4d743928' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[252.29999, 251.2    , 250.     , ..., 240.29999, 241.59999,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4d32fd1-da1f-4481-9c10-b8577ca6c5f9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d4d32fd1-da1f-4481-9c10-b8577ca6c5f9' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.3 251.2 250.0 ... 296.2 295.7</div><input id='attrs-0b3fb39d-99c3-4ffa-b54e-5a974a874813' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b3fb39d-99c3-4ffa-b54e-5a974a874813' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73077247-6ebf-4a3c-8ea4-2d735c9ecab3' class='xr-var-data-in' type='checkbox'><label for='data-73077247-6ebf-4a3c-8ea4-2d735c9ecab3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[252.29999, 251.2    , 250.     , ..., 240.29999, 241.59999,
          243.2    ],
         [252.39   , 252.79999, 253.     , ..., 235.59999, 238.29999,
          242.29999],
@@ -5414,16 +5431,16 @@ <h3>Selecting data based on single datetime<a class="headerlink" href="#selectin
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af1c4c77-08b9-40fa-b06f-34b2c806f5a1' class='xr-section-summary-in' type='checkbox'  ><label for='section-af1c4c77-08b9-40fa-b06f-34b2c806f5a1' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6450c5cd-a111-4d6e-ba84-e0e420e0eac6' class='xr-index-data-in' type='checkbox'/><label for='index-6450c5cd-a111-4d6e-ba84-e0e420e0eac6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c71c4c89-1621-4de0-981e-69fe4458cf41' class='xr-section-summary-in' type='checkbox'  ><label for='section-c71c4c89-1621-4de0-981e-69fe4458cf41' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e548b3e2-519f-4adb-a2d9-3cb25045254c' class='xr-index-data-in' type='checkbox'/><label for='index-e548b3e2-519f-4adb-a2d9-3cb25045254c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ecf6fdbb-faf0-4ea9-b9e4-20f49895f23f' class='xr-index-data-in' type='checkbox'/><label for='index-ecf6fdbb-faf0-4ea9-b9e4-20f49895f23f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d671cc36-9279-47d7-a239-ce5d92799b9c' class='xr-index-data-in' type='checkbox'/><label for='index-d671cc36-9279-47d7-a239-ce5d92799b9c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-470067a1-ec42-47c1-8ba8-b68e0c57299a' class='xr-index-data-in' type='checkbox'/><label for='index-470067a1-ec42-47c1-8ba8-b68e0c57299a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2014-01-01 00:00:00&#x27;, &#x27;2014-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-28506ada-1434-4b24-8dca-bc6f67467ff7' class='xr-index-data-in' type='checkbox'/><label for='index-28506ada-1434-4b24-8dca-bc6f67467ff7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2014-01-01 00:00:00&#x27;, &#x27;2014-01-01 06:00:00&#x27;,
                &#x27;2014-01-01 12:00:00&#x27;, &#x27;2014-01-01 18:00:00&#x27;,
                &#x27;2014-01-02 00:00:00&#x27;, &#x27;2014-01-02 06:00:00&#x27;,
                &#x27;2014-01-02 12:00:00&#x27;, &#x27;2014-01-02 18:00:00&#x27;,
@@ -5434,7 +5451,7 @@ <h3>Selecting data based on single datetime<a class="headerlink" href="#selectin
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1460, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f2d0cecd-280a-4072-a934-696a82c8c08a' class='xr-section-summary-in' type='checkbox'  ><label for='section-f2d0cecd-280a-4072-a934-696a82c8c08a' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1460, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b1826899-980a-469b-b06a-b78e9b58c23d' class='xr-section-summary-in' type='checkbox'  ><label for='section-b1826899-980a-469b-b06a-b78e9b58c23d' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>or a month:</p>
@@ -5816,14 +5833,14 @@ <h3>Selecting data based on single datetime<a class="headerlink" href="#selectin
   * time     (time) datetime64[ns] 2014-05-01 ... 2014-05-31T18:00:00
 Data variables:
     air      (time, lat, lon) float32 264.9 265.0 265.0 ... 296.5 296.2 296.2
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-eb8069b2-3a89-4502-841c-a89329504169' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eb8069b2-3a89-4502-841c-a89329504169' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 124</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-21b8b91d-11ec-40a7-88f6-abcebc30fb3b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-21b8b91d-11ec-40a7-88f6-abcebc30fb3b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-77d5a470-ca07-4d4f-9915-ce61ebe2196d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77d5a470-ca07-4d4f-9915-ce61ebe2196d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1841ad6d-eb8a-4b8e-896a-e702e589bc9d' class='xr-var-data-in' type='checkbox'><label for='data-1841ad6d-eb8a-4b8e-896a-e702e589bc9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-af93ea7e-fbab-4c82-bc24-293e7ec835f6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af93ea7e-fbab-4c82-bc24-293e7ec835f6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 124</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-edf15f2f-1c5c-4961-b1f2-9bc7e1653707' class='xr-section-summary-in' type='checkbox'  checked><label for='section-edf15f2f-1c5c-4961-b1f2-9bc7e1653707' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-84948e1e-9c56-40ee-9d60-be6fac16c763' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84948e1e-9c56-40ee-9d60-be6fac16c763' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49f141d9-cc10-40e7-81d9-06c973355f0e' class='xr-var-data-in' type='checkbox'><label for='data-49f141d9-cc10-40e7-81d9-06c973355f0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-1aa8a279-1bd0-4582-95d1-2b6d32b9a5d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1aa8a279-1bd0-4582-95d1-2b6d32b9a5d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6145f216-8d26-4351-ba4b-5b67cde04814' class='xr-var-data-in' type='checkbox'><label for='data-6145f216-8d26-4351-ba4b-5b67cde04814' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-63cb7bcb-5841-4a35-89a5-1e14641667e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63cb7bcb-5841-4a35-89a5-1e14641667e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78a9a437-0657-4ed3-8cff-3578f9f47132' class='xr-var-data-in' type='checkbox'><label for='data-78a9a437-0657-4ed3-8cff-3578f9f47132' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-05-01 ... 2014-05-31T18:00:00</div><input id='attrs-dc23ae3f-7fb0-4d53-a577-0f75e7603127' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc23ae3f-7fb0-4d53-a577-0f75e7603127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-677b4ba6-9e62-41d1-84ed-183b153d642d' class='xr-var-data-in' type='checkbox'><label for='data-677b4ba6-9e62-41d1-84ed-183b153d642d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-05-01T00:00:00.000000000&#x27;, &#x27;2014-05-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-05-01 ... 2014-05-31T18:00:00</div><input id='attrs-3ff31f25-a05d-4d4b-a84d-d13d797d0680' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ff31f25-a05d-4d4b-a84d-d13d797d0680' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-955c37fe-9865-4f54-9c7f-6ed732faaea0' class='xr-var-data-in' type='checkbox'><label for='data-955c37fe-9865-4f54-9c7f-6ed732faaea0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-05-01T00:00:00.000000000&#x27;, &#x27;2014-05-01T06:00:00.000000000&#x27;,
        &#x27;2014-05-01T12:00:00.000000000&#x27;, &#x27;2014-05-01T18:00:00.000000000&#x27;,
        &#x27;2014-05-02T00:00:00.000000000&#x27;, &#x27;2014-05-02T06:00:00.000000000&#x27;,
        &#x27;2014-05-02T12:00:00.000000000&#x27;, &#x27;2014-05-02T18:00:00.000000000&#x27;,
@@ -5885,7 +5902,7 @@ <h3>Selecting data based on single datetime<a class="headerlink" href="#selectin
        &#x27;2014-05-30T12:00:00.000000000&#x27;, &#x27;2014-05-30T18:00:00.000000000&#x27;,
        &#x27;2014-05-31T00:00:00.000000000&#x27;, &#x27;2014-05-31T06:00:00.000000000&#x27;,
        &#x27;2014-05-31T12:00:00.000000000&#x27;, &#x27;2014-05-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-10b7ba02-4313-4293-bb51-c53551a6fd31' class='xr-section-summary-in' type='checkbox'  checked><label for='section-10b7ba02-4313-4293-bb51-c53551a6fd31' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>264.9 265.0 265.0 ... 296.2 296.2</div><input id='attrs-2d25ff24-d33c-4985-ba24-71e2e991a3d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d25ff24-d33c-4985-ba24-71e2e991a3d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bca27ae-9be1-4180-aade-2390c272185a' class='xr-var-data-in' type='checkbox'><label for='data-6bca27ae-9be1-4180-aade-2390c272185a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[264.9    , 265.     , 265.     , ..., 252.39   , 252.89   ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1f06acfa-adf4-4f25-8dcc-e98dcc82f4dc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1f06acfa-adf4-4f25-8dcc-e98dcc82f4dc' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>264.9 265.0 265.0 ... 296.2 296.2</div><input id='attrs-f9cbf52a-719c-4d07-babf-c319aff57925' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9cbf52a-719c-4d07-babf-c319aff57925' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f00257b-150d-4ac0-9566-69a1adbf2a2c' class='xr-var-data-in' type='checkbox'><label for='data-2f00257b-150d-4ac0-9566-69a1adbf2a2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[264.9    , 265.     , 265.     , ..., 252.39   , 252.89   ,
          253.7    ],
         [272.     , 272.29   , 272.6    , ..., 249.29999, 250.2    ,
          252.39   ],
@@ -5925,16 +5942,16 @@ <h3>Selecting data based on single datetime<a class="headerlink" href="#selectin
         [297.9    , 297.9    , 297.4    , ..., 296.29   , 295.9    ,
          295.4    ],
         [297.9    , 297.6    , 297.5    , ..., 296.5    , 296.19998,
-         296.19998]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cbc5536e-846f-4834-ad73-796bdc6e5937' class='xr-section-summary-in' type='checkbox'  ><label for='section-cbc5536e-846f-4834-ad73-796bdc6e5937' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8d58a4d7-5651-4421-ab5b-570d614c348a' class='xr-index-data-in' type='checkbox'/><label for='index-8d58a4d7-5651-4421-ab5b-570d614c348a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         296.19998]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ec99ed7b-ac0c-4444-8589-bbd9bf80518f' class='xr-section-summary-in' type='checkbox'  ><label for='section-ec99ed7b-ac0c-4444-8589-bbd9bf80518f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2c868220-e612-4fc9-bd23-3d4c6d2bb620' class='xr-index-data-in' type='checkbox'/><label for='index-2c868220-e612-4fc9-bd23-3d4c6d2bb620' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-78d43ee9-73a3-4690-9caa-91ebfa19a0fe' class='xr-index-data-in' type='checkbox'/><label for='index-78d43ee9-73a3-4690-9caa-91ebfa19a0fe' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3cde3113-a01a-4009-97d2-c9cc79b11029' class='xr-index-data-in' type='checkbox'/><label for='index-3cde3113-a01a-4009-97d2-c9cc79b11029' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a1780fe0-4f13-4ed9-a95d-0cf8ee90abec' class='xr-index-data-in' type='checkbox'/><label for='index-a1780fe0-4f13-4ed9-a95d-0cf8ee90abec' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2014-05-01 00:00:00&#x27;, &#x27;2014-05-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2e5f540e-3728-4880-ae07-8b61c8edb211' class='xr-index-data-in' type='checkbox'/><label for='index-2e5f540e-3728-4880-ae07-8b61c8edb211' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2014-05-01 00:00:00&#x27;, &#x27;2014-05-01 06:00:00&#x27;,
                &#x27;2014-05-01 12:00:00&#x27;, &#x27;2014-05-01 18:00:00&#x27;,
                &#x27;2014-05-02 00:00:00&#x27;, &#x27;2014-05-02 06:00:00&#x27;,
                &#x27;2014-05-02 12:00:00&#x27;, &#x27;2014-05-02 18:00:00&#x27;,
@@ -5945,12 +5962,12 @@ <h3>Selecting data based on single datetime<a class="headerlink" href="#selectin
                &#x27;2014-05-30 12:00:00&#x27;, &#x27;2014-05-30 18:00:00&#x27;,
                &#x27;2014-05-31 00:00:00&#x27;, &#x27;2014-05-31 06:00:00&#x27;,
                &#x27;2014-05-31 12:00:00&#x27;, &#x27;2014-05-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=124, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f4ddc3f4-68a0-4236-9ed9-bd22ef675ddc' class='xr-section-summary-in' type='checkbox'  ><label for='section-f4ddc3f4-68a0-4236-9ed9-bd22ef675ddc' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=124, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1ec119f4-499c-49be-8d4a-93ed1169b6cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-1ec119f4-499c-49be-8d4a-93ed1169b6cc' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="selecting-data-for-a-range-of-dates">
-<h3>Selecting data for a range of dates<a class="headerlink" href="#selecting-data-for-a-range-of-dates" title="Permalink to this headline">#</a></h3>
+<h3>Selecting data for a range of dates<a class="headerlink" href="#selecting-data-for-a-range-of-dates" title="Permalink to this heading">#</a></h3>
 <p>Now, let’s say we want to select data between a certain range of dates. We can still use the <code class="docutils literal notranslate"><span class="pre">sel</span></code> method, but this time we will combine it with slice:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -6331,17 +6348,17 @@ <h3>Selecting data for a range of dates<a class="headerlink" href="#selecting-da
   * time     (time) datetime64[ns] 2013-01-01 ... 2013-12-31T18:00:00
 Data variables:
     air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.1 295.1 294.7
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7f1880d1-06ce-4c87-8b9b-5d13908c2aea' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7f1880d1-06ce-4c87-8b9b-5d13908c2aea' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f1bf79ba-cb6b-4d93-b12b-3550c4a844ec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f1bf79ba-cb6b-4d93-b12b-3550c4a844ec' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-03ef3e5b-264e-4185-a991-b8c7fe597493' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03ef3e5b-264e-4185-a991-b8c7fe597493' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86d93522-4d97-415b-b686-514e8a420166' class='xr-var-data-in' type='checkbox'><label for='data-86d93522-4d97-415b-b686-514e8a420166' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5bccc289-7a10-4bf5-8aeb-e0c17c3cef0d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5bccc289-7a10-4bf5-8aeb-e0c17c3cef0d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-168563ea-7d8e-4679-a745-c5b65a9a213f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-168563ea-7d8e-4679-a745-c5b65a9a213f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-0a9a4b1b-72a1-448b-9049-ab302ff82b0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a9a4b1b-72a1-448b-9049-ab302ff82b0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d524fa0f-ed9e-43d4-a7fd-2ee1e29ff63e' class='xr-var-data-in' type='checkbox'><label for='data-d524fa0f-ed9e-43d4-a7fd-2ee1e29ff63e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-0273ecb5-6bd7-4dfe-aaea-99b05cfdd4ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0273ecb5-6bd7-4dfe-aaea-99b05cfdd4ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a728abd-f5de-4a8a-b911-56d1068da9b6' class='xr-var-data-in' type='checkbox'><label for='data-7a728abd-f5de-4a8a-b911-56d1068da9b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-8c79c104-ab32-43b5-9184-c26925084359' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c79c104-ab32-43b5-9184-c26925084359' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccf840fe-2133-48f1-ba78-8b9afdef1bb3' class='xr-var-data-in' type='checkbox'><label for='data-ccf840fe-2133-48f1-ba78-8b9afdef1bb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-12-31T18:00:00</div><input id='attrs-4ace0d0d-56be-4253-8a3e-747449d7c808' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ace0d0d-56be-4253-8a3e-747449d7c808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8efdf2c7-680b-4256-8bc2-4a09d0ba53bb' class='xr-var-data-in' type='checkbox'><label for='data-8efdf2c7-680b-4256-8bc2-4a09d0ba53bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-12-31T18:00:00</div><input id='attrs-7e29f961-6bfe-479b-83a8-6b91d467f502' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e29f961-6bfe-479b-83a8-6b91d467f502' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe1d4eae-471f-487d-b5c8-3a8114aef13f' class='xr-var-data-in' type='checkbox'><label for='data-fe1d4eae-471f-487d-b5c8-3a8114aef13f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2013-12-31T06:00:00.000000000&#x27;,
        &#x27;2013-12-31T12:00:00.000000000&#x27;, &#x27;2013-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-122d7e2c-ab79-44d5-a332-e57ebff67262' class='xr-section-summary-in' type='checkbox'  checked><label for='section-122d7e2c-ab79-44d5-a332-e57ebff67262' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 295.1 294.7</div><input id='attrs-16e9a611-a881-46b8-8740-9f9456fecd33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16e9a611-a881-46b8-8740-9f9456fecd33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98a56d51-b07a-4ef2-a6ff-a6251ba68825' class='xr-var-data-in' type='checkbox'><label for='data-98a56d51-b07a-4ef2-a6ff-a6251ba68825' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60d735b1-5fae-4db8-862e-d7153ca285f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-60d735b1-5fae-4db8-862e-d7153ca285f2' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 295.1 294.7</div><input id='attrs-e20869dc-27c8-4fb3-acb4-80076ae7f562' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e20869dc-27c8-4fb3-acb4-80076ae7f562' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2ea6078-fc02-405d-a562-e6917f97eb37' class='xr-var-data-in' type='checkbox'><label for='data-c2ea6078-fc02-405d-a562-e6917f97eb37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -6381,16 +6398,16 @@ <h3>Selecting data for a range of dates<a class="headerlink" href="#selecting-da
         [297.1    , 296.79   , 296.5    , ..., 295.6    , 295.1    ,
          294.5    ],
         [297.29   , 297.69998, 297.69998, ..., 296.1    , 295.1    ,
-         294.69998]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8833a4ce-4516-40e8-aabb-fe04febd03ce' class='xr-section-summary-in' type='checkbox'  ><label for='section-8833a4ce-4516-40e8-aabb-fe04febd03ce' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aae5488a-7d10-4c08-a41f-57fa011469a7' class='xr-index-data-in' type='checkbox'/><label for='index-aae5488a-7d10-4c08-a41f-57fa011469a7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         294.69998]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3c4a635-0fb9-4b01-9334-496503450fb6' class='xr-section-summary-in' type='checkbox'  ><label for='section-a3c4a635-0fb9-4b01-9334-496503450fb6' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-da6a953f-1d9b-4743-ab35-b825ccec41cd' class='xr-index-data-in' type='checkbox'/><label for='index-da6a953f-1d9b-4743-ab35-b825ccec41cd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-95f0e66e-3514-436e-a06f-f2b2915607e9' class='xr-index-data-in' type='checkbox'/><label for='index-95f0e66e-3514-436e-a06f-f2b2915607e9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d2cc8665-9513-4651-957d-b7937f4ecbc6' class='xr-index-data-in' type='checkbox'/><label for='index-d2cc8665-9513-4651-957d-b7937f4ecbc6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-99c285e8-7675-48ea-8ec3-4e8a8d146c11' class='xr-index-data-in' type='checkbox'/><label for='index-99c285e8-7675-48ea-8ec3-4e8a8d146c11' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-58a6d55c-df16-4caf-be8a-9976f8c6598f' class='xr-index-data-in' type='checkbox'/><label for='index-58a6d55c-df16-4caf-be8a-9976f8c6598f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -6401,7 +6418,7 @@ <h3>Selecting data for a range of dates<a class="headerlink" href="#selecting-da
                &#x27;2013-12-30 12:00:00&#x27;, &#x27;2013-12-30 18:00:00&#x27;,
                &#x27;2013-12-31 00:00:00&#x27;, &#x27;2013-12-31 06:00:00&#x27;,
                &#x27;2013-12-31 12:00:00&#x27;, &#x27;2013-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1460, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a40decc1-d199-4de5-be64-5e1a032ce791' class='xr-section-summary-in' type='checkbox'  ><label for='section-a40decc1-d199-4de5-be64-5e1a032ce791' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1460, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-73bdbc8a-f24c-4785-a72e-8778906068fe' class='xr-section-summary-in' type='checkbox'  ><label for='section-73bdbc8a-f24c-4785-a72e-8778906068fe' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="admonition note">
@@ -6410,7 +6427,7 @@ <h3>Selecting data for a range of dates<a class="headerlink" href="#selecting-da
 </div>
 </section>
 <section id="indexing-with-a-datetimeindex-or-date-string-list">
-<h3>Indexing with a DatetimeIndex or date string list<a class="headerlink" href="#indexing-with-a-datetimeindex-or-date-string-list" title="Permalink to this headline">#</a></h3>
+<h3>Indexing with a DatetimeIndex or date string list<a class="headerlink" href="#indexing-with-a-datetimeindex-or-date-string-list" title="Permalink to this heading">#</a></h3>
 <p>Another technique is to use a list of datetime objects or date strings for indexing. For example, you could select data for specific, non-contiguous dates like this:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -6791,15 +6808,15 @@ <h3>Indexing with a DatetimeIndex or date string list<a class="headerlink" href=
   * time     (time) datetime64[ns] 2013-07-09 2013-10-11 2013-12-24
 Data variables:
     air      (time, lat, lon) float32 279.0 278.6 278.1 ... 296.8 296.6 296.5
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1ba488b2-6a8c-4562-9fb2-2e39ebbd4da4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1ba488b2-6a8c-4562-9fb2-2e39ebbd4da4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 3</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a7f920fc-ff17-4469-a52b-8569779dc73f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a7f920fc-ff17-4469-a52b-8569779dc73f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-f3b3a2ca-ce03-4e53-a8bb-d4d78c9be373' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3b3a2ca-ce03-4e53-a8bb-d4d78c9be373' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-944ea327-c1de-44e2-8483-9855d892454b' class='xr-var-data-in' type='checkbox'><label for='data-944ea327-c1de-44e2-8483-9855d892454b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fdadcaa8-4418-498a-ac98-ec3650a60eee' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fdadcaa8-4418-498a-ac98-ec3650a60eee' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 3</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-235d192a-627c-445f-8288-b6486a566866' class='xr-section-summary-in' type='checkbox'  checked><label for='section-235d192a-627c-445f-8288-b6486a566866' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-e706a0a0-5f09-42a6-9aa5-a9b3f19d9b70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e706a0a0-5f09-42a6-9aa5-a9b3f19d9b70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cf46d39-424d-402f-bf6f-293ee95f7506' class='xr-var-data-in' type='checkbox'><label for='data-2cf46d39-424d-402f-bf6f-293ee95f7506' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-2e1fde12-b02c-419b-a6e3-b9df41f5b1d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e1fde12-b02c-419b-a6e3-b9df41f5b1d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-540ca535-7ae2-4906-bf1e-fa3062af7d60' class='xr-var-data-in' type='checkbox'><label for='data-540ca535-7ae2-4906-bf1e-fa3062af7d60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-94fcf28d-7117-420a-b99d-453c72c9debb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94fcf28d-7117-420a-b99d-453c72c9debb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-138db5b9-e07d-4bc2-8994-baac938b7cf1' class='xr-var-data-in' type='checkbox'><label for='data-138db5b9-e07d-4bc2-8994-baac938b7cf1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-07-09 2013-10-11 2013-12-24</div><input id='attrs-6a673eb9-594d-4fef-9bea-c48c8d80357d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a673eb9-594d-4fef-9bea-c48c8d80357d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cecc3ad-d481-43fd-aab0-5ffe9e5fddff' class='xr-var-data-in' type='checkbox'><label for='data-4cecc3ad-d481-43fd-aab0-5ffe9e5fddff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-07-09T00:00:00.000000000&#x27;, &#x27;2013-10-11T00:00:00.000000000&#x27;,
-       &#x27;2013-12-24T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8fb236bc-6fca-4922-a8b0-5b40e305495a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8fb236bc-6fca-4922-a8b0-5b40e305495a' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>279.0 278.6 278.1 ... 296.6 296.5</div><input id='attrs-91075321-7a70-45b9-9d6d-d4be5139ec29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91075321-7a70-45b9-9d6d-d4be5139ec29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bd3d416a-2336-445e-8c49-262e18c32c53' class='xr-var-data-in' type='checkbox'><label for='data-bd3d416a-2336-445e-8c49-262e18c32c53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[279.     , 278.6    , 278.1    , ..., 269.6    , 272.     ,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-07-09 2013-10-11 2013-12-24</div><input id='attrs-b7ccc512-4cd5-448e-919d-1273c6e703bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7ccc512-4cd5-448e-919d-1273c6e703bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1663072b-b14c-4d3d-954a-dd0b0f569b3f' class='xr-var-data-in' type='checkbox'><label for='data-1663072b-b14c-4d3d-954a-dd0b0f569b3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-07-09T00:00:00.000000000&#x27;, &#x27;2013-10-11T00:00:00.000000000&#x27;,
+       &#x27;2013-12-24T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-324a46ac-dbb7-4e52-8333-595a40411768' class='xr-section-summary-in' type='checkbox'  checked><label for='section-324a46ac-dbb7-4e52-8333-595a40411768' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>279.0 278.6 278.1 ... 296.6 296.5</div><input id='attrs-4f5fe192-73e3-47e4-947f-8fdbe2812f6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f5fe192-73e3-47e4-947f-8fdbe2812f6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c91d9c8-de0e-48e2-af7e-b0e39501a19a' class='xr-var-data-in' type='checkbox'><label for='data-4c91d9c8-de0e-48e2-af7e-b0e39501a19a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[279.     , 278.6    , 278.1    , ..., 269.6    , 272.     ,
          274.5    ],
         [277.29   , 277.     , 276.5    , ..., 267.4    , 269.29   ,
          271.69998],
@@ -6839,21 +6856,21 @@ <h3>Indexing with a DatetimeIndex or date string list<a class="headerlink" href=
         [298.1    , 297.6    , 297.     , ..., 295.6    , 295.29   ,
          294.69998],
         [298.4    , 298.1    , 297.6    , ..., 296.79   , 296.6    ,
-         296.5    ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-31711f37-c8e6-4386-b478-09ccb546009d' class='xr-section-summary-in' type='checkbox'  ><label for='section-31711f37-c8e6-4386-b478-09ccb546009d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7319e2e0-7d84-4824-b26f-8e5248e8949c' class='xr-index-data-in' type='checkbox'/><label for='index-7319e2e0-7d84-4824-b26f-8e5248e8949c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         296.5    ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8cf14c9-9a37-4fb3-a0cc-02d79e3fce2a' class='xr-section-summary-in' type='checkbox'  ><label for='section-b8cf14c9-9a37-4fb3-a0cc-02d79e3fce2a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1e4777f3-cdd3-4c76-abd6-a123a5d30076' class='xr-index-data-in' type='checkbox'/><label for='index-1e4777f3-cdd3-4c76-abd6-a123a5d30076' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fd55389f-267d-466d-9311-3b5364c2b73b' class='xr-index-data-in' type='checkbox'/><label for='index-fd55389f-267d-466d-9311-3b5364c2b73b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ae8269ca-d693-44ea-865f-b45f968d723c' class='xr-index-data-in' type='checkbox'/><label for='index-ae8269ca-d693-44ea-865f-b45f968d723c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-69d91349-7d9f-48f8-8a7c-bcecdab2c9b2' class='xr-index-data-in' type='checkbox'/><label for='index-69d91349-7d9f-48f8-8a7c-bcecdab2c9b2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-07-09&#x27;, &#x27;2013-10-11&#x27;, &#x27;2013-12-24&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-28a7ba7e-e901-4f0b-aba1-c1977711856e' class='xr-section-summary-in' type='checkbox'  ><label for='section-28a7ba7e-e901-4f0b-aba1-c1977711856e' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3bcc2010-5d00-4c40-9845-77e54add1306' class='xr-index-data-in' type='checkbox'/><label for='index-3bcc2010-5d00-4c40-9845-77e54add1306' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-07-09&#x27;, &#x27;2013-10-11&#x27;, &#x27;2013-12-24&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-487dee1a-3d77-40cd-bd46-fa3577d1d8a6' class='xr-section-summary-in' type='checkbox'  ><label for='section-487dee1a-3d77-40cd-bd46-fa3577d1d8a6' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="fancy-indexing-based-on-year-month-day-or-other-datetime-components">
-<h3>Fancy indexing based on year, month, day, or other datetime components<a class="headerlink" href="#fancy-indexing-based-on-year-month-day-or-other-datetime-components" title="Permalink to this headline">#</a></h3>
+<h3>Fancy indexing based on year, month, day, or other datetime components<a class="headerlink" href="#fancy-indexing-based-on-year-month-day-or-other-datetime-components" title="Permalink to this heading">#</a></h3>
 <p>In addition to the basic datetime indexing techniques, Xarray also supports “fancy” indexing options, which can provide more flexibility and efficiency in your data analysis tasks. You can directly access datetime components such as year, month, day, hour, etc. using the <code class="docutils literal notranslate"><span class="pre">.dt</span></code> accessor. Here is an example of selecting all data points from July across all years:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -7233,17 +7250,17 @@ <h3>Fancy indexing based on year, month, day, or other datetime components<a cla
   * time     (time) datetime64[ns] 2013-07-01 ... 2014-07-31T18:00:00
 Data variables:
     air      (time, lat, lon) float32 273.7 273.0 272.5 ... 297.5 297.6 297.8
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-64a47a7a-e3ab-455f-b3c5-6b7e014e1a86' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-64a47a7a-e3ab-455f-b3c5-6b7e014e1a86' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 248</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8e1e3c71-8dbe-4c70-9c8f-52598d2ede73' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e1e3c71-8dbe-4c70-9c8f-52598d2ede73' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-acb2e03a-7177-4dd3-b2ff-b919f52a7456' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acb2e03a-7177-4dd3-b2ff-b919f52a7456' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3861310-9d5c-48e7-9384-12a63c66cbad' class='xr-var-data-in' type='checkbox'><label for='data-e3861310-9d5c-48e7-9384-12a63c66cbad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4b0bda3d-b6a4-45af-bb28-5267bc8bb50b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b0bda3d-b6a4-45af-bb28-5267bc8bb50b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 248</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d0da452b-fcd2-4647-b45e-478e6c3e96d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d0da452b-fcd2-4647-b45e-478e6c3e96d5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a757b351-5909-43a8-bb26-c719a4e17a56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a757b351-5909-43a8-bb26-c719a4e17a56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c2d1da3-a328-4810-a3d1-149338c5301d' class='xr-var-data-in' type='checkbox'><label for='data-9c2d1da3-a328-4810-a3d1-149338c5301d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-cd02f808-efc0-4fad-b229-55282ae7a86b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd02f808-efc0-4fad-b229-55282ae7a86b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c5ae57d-8a2b-4d47-b174-d1a2a12a1f16' class='xr-var-data-in' type='checkbox'><label for='data-3c5ae57d-8a2b-4d47-b174-d1a2a12a1f16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-f44e2135-c3d0-4070-99c9-15995b94bc2f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f44e2135-c3d0-4070-99c9-15995b94bc2f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b66b6297-c16a-416b-bbc9-0743b1f03c38' class='xr-var-data-in' type='checkbox'><label for='data-b66b6297-c16a-416b-bbc9-0743b1f03c38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-07-01 ... 2014-07-31T18:00:00</div><input id='attrs-9c9d2687-9321-40d1-8e17-57af9f950d6b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c9d2687-9321-40d1-8e17-57af9f950d6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ab9b6cc-9907-4509-af16-53dceb27cf11' class='xr-var-data-in' type='checkbox'><label for='data-6ab9b6cc-9907-4509-af16-53dceb27cf11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-07-01T00:00:00.000000000&#x27;, &#x27;2013-07-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-07-01 ... 2014-07-31T18:00:00</div><input id='attrs-4bbd1b9d-e0a5-479e-9d80-ec60a4fe5347' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bbd1b9d-e0a5-479e-9d80-ec60a4fe5347' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bfe1f5a-d0ac-41dd-af22-81a9d55abc8c' class='xr-var-data-in' type='checkbox'><label for='data-8bfe1f5a-d0ac-41dd-af22-81a9d55abc8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-07-01T00:00:00.000000000&#x27;, &#x27;2013-07-01T06:00:00.000000000&#x27;,
        &#x27;2013-07-01T12:00:00.000000000&#x27;, ..., &#x27;2014-07-31T06:00:00.000000000&#x27;,
        &#x27;2014-07-31T12:00:00.000000000&#x27;, &#x27;2014-07-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c58d4ce-b37a-47a8-a303-213a1a0d34bb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c58d4ce-b37a-47a8-a303-213a1a0d34bb' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>273.7 273.0 272.5 ... 297.6 297.8</div><input id='attrs-17ced381-eb49-4e1c-8861-e15b10f2e8b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17ced381-eb49-4e1c-8861-e15b10f2e8b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21afd780-30eb-4270-85c9-c2948c99eb48' class='xr-var-data-in' type='checkbox'><label for='data-21afd780-30eb-4270-85c9-c2948c99eb48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[273.69998, 273.     , 272.5    , ..., 265.29   , 266.6    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-577d4144-d86b-4163-9119-0e42afae819d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-577d4144-d86b-4163-9119-0e42afae819d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>273.7 273.0 272.5 ... 297.6 297.8</div><input id='attrs-a20dd8e7-5656-4e4f-a9ab-55eeb0c3dd40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a20dd8e7-5656-4e4f-a9ab-55eeb0c3dd40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-916c85a6-fec4-4a8e-a884-77c43bb561b8' class='xr-var-data-in' type='checkbox'><label for='data-916c85a6-fec4-4a8e-a884-77c43bb561b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[273.69998, 273.     , 272.5    , ..., 265.29   , 266.6    ,
          268.19998],
         [275.5    , 275.19998, 274.9    , ..., 265.4    , 267.29   ,
          269.69998],
@@ -7283,16 +7300,16 @@ <h3>Fancy indexing based on year, month, day, or other datetime components<a cla
         [299.79   , 299.6    , 299.1    , ..., 297.4    , 297.29   ,
          297.19998],
         [299.69998, 299.5    , 299.1    , ..., 297.5    , 297.6    ,
-         297.79   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bea4a05e-8d9d-445c-8432-a9de14e3ed2f' class='xr-section-summary-in' type='checkbox'  ><label for='section-bea4a05e-8d9d-445c-8432-a9de14e3ed2f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7cb00eae-8be8-4eca-91a4-fcedbdbc1214' class='xr-index-data-in' type='checkbox'/><label for='index-7cb00eae-8be8-4eca-91a4-fcedbdbc1214' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         297.79   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-654ff1b7-ee27-4d15-b1b6-c255ae5e728d' class='xr-section-summary-in' type='checkbox'  ><label for='section-654ff1b7-ee27-4d15-b1b6-c255ae5e728d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7f90f699-8e59-4996-b998-195a87f5051c' class='xr-index-data-in' type='checkbox'/><label for='index-7f90f699-8e59-4996-b998-195a87f5051c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0a216351-5ddc-4baf-a627-590535de6ffc' class='xr-index-data-in' type='checkbox'/><label for='index-0a216351-5ddc-4baf-a627-590535de6ffc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-95e437ab-8422-45a7-a20f-93ac9af1d3fa' class='xr-index-data-in' type='checkbox'/><label for='index-95e437ab-8422-45a7-a20f-93ac9af1d3fa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-44221961-f07b-4e35-824b-af69e3a85cf3' class='xr-index-data-in' type='checkbox'/><label for='index-44221961-f07b-4e35-824b-af69e3a85cf3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-07-01 00:00:00&#x27;, &#x27;2013-07-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-70ae2293-8009-4f4a-a5ae-f3ab64b08445' class='xr-index-data-in' type='checkbox'/><label for='index-70ae2293-8009-4f4a-a5ae-f3ab64b08445' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-07-01 00:00:00&#x27;, &#x27;2013-07-01 06:00:00&#x27;,
                &#x27;2013-07-01 12:00:00&#x27;, &#x27;2013-07-01 18:00:00&#x27;,
                &#x27;2013-07-02 00:00:00&#x27;, &#x27;2013-07-02 06:00:00&#x27;,
                &#x27;2013-07-02 12:00:00&#x27;, &#x27;2013-07-02 18:00:00&#x27;,
@@ -7303,7 +7320,7 @@ <h3>Fancy indexing based on year, month, day, or other datetime components<a cla
                &#x27;2014-07-30 12:00:00&#x27;, &#x27;2014-07-30 18:00:00&#x27;,
                &#x27;2014-07-31 00:00:00&#x27;, &#x27;2014-07-31 06:00:00&#x27;,
                &#x27;2014-07-31 12:00:00&#x27;, &#x27;2014-07-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=248, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-50bb8845-e185-4502-beeb-5d3e901fa767' class='xr-section-summary-in' type='checkbox'  ><label for='section-50bb8845-e185-4502-beeb-5d3e901fa767' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=248, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c9245bc1-d37f-477f-b473-22c8f7508ad7' class='xr-section-summary-in' type='checkbox'  ><label for='section-c9245bc1-d37f-477f-b473-22c8f7508ad7' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Or, if you wanted to select data from a specific day of each month, you could use:</p>
@@ -7685,14 +7702,14 @@ <h3>Fancy indexing based on year, month, day, or other datetime components<a cla
   * time     (time) datetime64[ns] 2013-01-15 ... 2014-12-15T18:00:00
 Data variables:
     air      (time, lat, lon) float32 243.8 243.4 242.8 ... 297.1 296.9 296.9
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-eb72a389-9c93-40ae-b82c-bdb0abb15871' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eb72a389-9c93-40ae-b82c-bdb0abb15871' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 96</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c526d2d3-bb92-4e3a-b592-4b0c9f911b55' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c526d2d3-bb92-4e3a-b592-4b0c9f911b55' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-63e9fc47-1a19-44f9-8dd1-c7ed7d03b248' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63e9fc47-1a19-44f9-8dd1-c7ed7d03b248' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee9a836c-23c1-4d51-98b2-0044f90ace71' class='xr-var-data-in' type='checkbox'><label for='data-ee9a836c-23c1-4d51-98b2-0044f90ace71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1815ea2b-0d79-4b4b-a21c-ca1000bc2e9a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1815ea2b-0d79-4b4b-a21c-ca1000bc2e9a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 96</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7c10c562-881b-4192-985e-b915ca9fbf12' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7c10c562-881b-4192-985e-b915ca9fbf12' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-3f92484a-9114-4ad6-bea6-b4760087e828' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f92484a-9114-4ad6-bea6-b4760087e828' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8a4f5f2-fcdd-4f85-afb4-9a17fab4474b' class='xr-var-data-in' type='checkbox'><label for='data-d8a4f5f2-fcdd-4f85-afb4-9a17fab4474b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-e9ce8f40-7e3e-4c0c-85d0-8b8881632ae2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9ce8f40-7e3e-4c0c-85d0-8b8881632ae2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fb02dc1-0f2e-4e44-988a-83d8c7c75846' class='xr-var-data-in' type='checkbox'><label for='data-1fb02dc1-0f2e-4e44-988a-83d8c7c75846' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-fc2733a2-ecfd-4502-a907-935264114c14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc2733a2-ecfd-4502-a907-935264114c14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7e16cad-f531-4b00-93eb-79d8b168b238' class='xr-var-data-in' type='checkbox'><label for='data-c7e16cad-f531-4b00-93eb-79d8b168b238' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-15 ... 2014-12-15T18:00:00</div><input id='attrs-638bbd58-e9a0-492b-9039-61712d8ef7fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-638bbd58-e9a0-492b-9039-61712d8ef7fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52d79010-328b-49f2-824a-1866132ef446' class='xr-var-data-in' type='checkbox'><label for='data-52d79010-328b-49f2-824a-1866132ef446' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-15T00:00:00.000000000&#x27;, &#x27;2013-01-15T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-15 ... 2014-12-15T18:00:00</div><input id='attrs-6e535d9c-cfe8-478b-8676-a35482e5db8f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e535d9c-cfe8-478b-8676-a35482e5db8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efc4c513-1445-440b-af48-b2ad0549d784' class='xr-var-data-in' type='checkbox'><label for='data-efc4c513-1445-440b-af48-b2ad0549d784' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-15T00:00:00.000000000&#x27;, &#x27;2013-01-15T06:00:00.000000000&#x27;,
        &#x27;2013-01-15T12:00:00.000000000&#x27;, &#x27;2013-01-15T18:00:00.000000000&#x27;,
        &#x27;2013-02-15T00:00:00.000000000&#x27;, &#x27;2013-02-15T06:00:00.000000000&#x27;,
        &#x27;2013-02-15T12:00:00.000000000&#x27;, &#x27;2013-02-15T18:00:00.000000000&#x27;,
@@ -7740,7 +7757,7 @@ <h3>Fancy indexing based on year, month, day, or other datetime components<a cla
        &#x27;2014-11-15T12:00:00.000000000&#x27;, &#x27;2014-11-15T18:00:00.000000000&#x27;,
        &#x27;2014-12-15T00:00:00.000000000&#x27;, &#x27;2014-12-15T06:00:00.000000000&#x27;,
        &#x27;2014-12-15T12:00:00.000000000&#x27;, &#x27;2014-12-15T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b46a5b4c-73e7-4445-aeef-1d131edc9c65' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b46a5b4c-73e7-4445-aeef-1d131edc9c65' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>243.8 243.4 242.8 ... 296.9 296.9</div><input id='attrs-ee57142d-b497-4db7-8656-840d97c4927e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee57142d-b497-4db7-8656-840d97c4927e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f97b7d8-8745-4042-bda5-719e116d89cf' class='xr-var-data-in' type='checkbox'><label for='data-7f97b7d8-8745-4042-bda5-719e116d89cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[243.79999, 243.39   , 242.79999, ..., 232.59999, 233.2    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-345d2c15-a9ad-4dda-a84a-e2ef9fb23413' class='xr-section-summary-in' type='checkbox'  checked><label for='section-345d2c15-a9ad-4dda-a84a-e2ef9fb23413' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>243.8 243.4 242.8 ... 296.9 296.9</div><input id='attrs-f725b1cc-dbb0-4d78-887a-d3205975a277' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f725b1cc-dbb0-4d78-887a-d3205975a277' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-094a2d03-4ad7-4b05-86af-1b49ccf410ee' class='xr-var-data-in' type='checkbox'><label for='data-094a2d03-4ad7-4b05-86af-1b49ccf410ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[243.79999, 243.39   , 242.79999, ..., 232.59999, 233.2    ,
          234.7    ],
         [247.     , 246.79999, 246.2    , ..., 233.7    , 233.89   ,
          236.     ],
@@ -7780,16 +7797,16 @@ <h3>Fancy indexing based on year, month, day, or other datetime components<a cla
         [298.1    , 297.38998, 296.88998, ..., 296.29   , 296.1    ,
          295.88998],
         [298.38998, 298.38998, 298.19998, ..., 297.1    , 296.88998,
-         296.88998]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5cbc8abe-70fd-4f25-b3b4-d510c289e2d5' class='xr-section-summary-in' type='checkbox'  ><label for='section-5cbc8abe-70fd-4f25-b3b4-d510c289e2d5' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3bd3a782-1711-47fa-b508-44b67ca8f972' class='xr-index-data-in' type='checkbox'/><label for='index-3bd3a782-1711-47fa-b508-44b67ca8f972' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         296.88998]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-818575a8-6455-43bd-856a-b55c1bd643f8' class='xr-section-summary-in' type='checkbox'  ><label for='section-818575a8-6455-43bd-856a-b55c1bd643f8' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b97d4a78-97ec-4d49-9b03-8dfc04828cc3' class='xr-index-data-in' type='checkbox'/><label for='index-b97d4a78-97ec-4d49-9b03-8dfc04828cc3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-108289a7-604e-4369-87da-67d84bb0b72b' class='xr-index-data-in' type='checkbox'/><label for='index-108289a7-604e-4369-87da-67d84bb0b72b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d8cd86ef-afe8-404f-9245-7da95802db1b' class='xr-index-data-in' type='checkbox'/><label for='index-d8cd86ef-afe8-404f-9245-7da95802db1b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6b41a4d9-8190-4e01-8d35-a3aae6cd41dd' class='xr-index-data-in' type='checkbox'/><label for='index-6b41a4d9-8190-4e01-8d35-a3aae6cd41dd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-15 00:00:00&#x27;, &#x27;2013-01-15 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f5372d66-8fcd-488a-9b7d-6efaad4a8a04' class='xr-index-data-in' type='checkbox'/><label for='index-f5372d66-8fcd-488a-9b7d-6efaad4a8a04' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-15 00:00:00&#x27;, &#x27;2013-01-15 06:00:00&#x27;,
                &#x27;2013-01-15 12:00:00&#x27;, &#x27;2013-01-15 18:00:00&#x27;,
                &#x27;2013-02-15 00:00:00&#x27;, &#x27;2013-02-15 06:00:00&#x27;,
                &#x27;2013-02-15 12:00:00&#x27;, &#x27;2013-02-15 18:00:00&#x27;,
@@ -7837,13 +7854,13 @@ <h3>Fancy indexing based on year, month, day, or other datetime components<a cla
                &#x27;2014-11-15 12:00:00&#x27;, &#x27;2014-11-15 18:00:00&#x27;,
                &#x27;2014-12-15 00:00:00&#x27;, &#x27;2014-12-15 06:00:00&#x27;,
                &#x27;2014-12-15 12:00:00&#x27;, &#x27;2014-12-15 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d40b4071-768a-4199-bd6e-39a1b9eadf85' class='xr-section-summary-in' type='checkbox'  ><label for='section-d40b4071-768a-4199-bd6e-39a1b9eadf85' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c448b72b-aaba-48ed-bb43-f5ae8b7b2eee' class='xr-section-summary-in' type='checkbox'  ><label for='section-c448b72b-aaba-48ed-bb43-f5ae8b7b2eee' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 </section>
 <section id="exercises">
-<h2>Exercises<a class="headerlink" href="#exercises" title="Permalink to this headline">#</a></h2>
+<h2>Exercises<a class="headerlink" href="#exercises" title="Permalink to this heading">#</a></h2>
 <p>Practice the syntax you’ve learned so far:</p>
 <div class="exercise admonition" id="indexing-1">
 
@@ -7895,7 +7912,7 @@ <h2>Exercises<a class="headerlink" href="#exercises" title="Permalink to this he
 </div>
 </section>
 <section id="summary">
-<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headline">#</a></h2>
+<h2>Summary<a class="headerlink" href="#summary" title="Permalink to this heading">#</a></h2>
 <p>In total, Xarray supports four different kinds of indexing, as described below and summarized in this table:</p>
 <table class="colwidths-auto table">
 <thead>
@@ -7931,7 +7948,7 @@ <h2>Summary<a class="headerlink" href="#summary" title="Permalink to this headli
 <p>For enhanced indexing capabilities across all methods, you can utilize DataArray objects as an indexer. For more detailed information, please see the Advanced Indexing notebook.</p>
 </section>
 <section id="more-resources">
-<h2>More Resources<a class="headerlink" href="#more-resources" title="Permalink to this headline">#</a></h2>
+<h2>More Resources<a class="headerlink" href="#more-resources" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p><a class="reference external" href="https://docs.xarray.dev/en/stable/indexing.html">Xarray Docs - Indexing and Selecting Data</a></p></li>
 </ul>
@@ -7963,11 +7980,10 @@ <h2>More Resources<a class="headerlink" href="#more-resources" title="Permalink
 
               
               
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diff --git a/fundamentals/02.2_manipulating_dimensions.html b/fundamentals/02.2_manipulating_dimensions.html
index eddbb877..135ee758 100644
--- a/fundamentals/02.2_manipulating_dimensions.html
+++ b/fundamentals/02.2_manipulating_dimensions.html
@@ -3,7 +3,7 @@
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-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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@@ -19,15 +19,15 @@
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@@ -512,11 +529,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="manipulating-dimensions-data-resolution">
-<h1>Manipulating Dimensions (Data Resolution)<a class="headerlink" href="#manipulating-dimensions-data-resolution" title="Permalink to this headline">#</a></h1>
+<h1>Manipulating Dimensions (Data Resolution)<a class="headerlink" href="#manipulating-dimensions-data-resolution" title="Permalink to this heading">#</a></h1>
 <p>Sometimes we need to change the resolution of our data. We might need to look at inferred values between dimension (grid) spaces
 or change the dimension spacing completely (for instance to add another variable). Learning goals:</p>
 <ul class="simple">
@@ -548,6 +565,10 @@ <h1>Manipulating Dimensions (Data Resolution)<a class="headerlink" href="#manipu
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_3887/39313188.py:6: FutureWarning: &#39;M&#39; is deprecated and will be removed in a future version, please use &#39;ME&#39; instead.
+  &quot;y&quot;: pd.date_range(&quot;2009-01-05&quot;, periods=6, freq=&quot;M&quot;),
+</pre></div>
+</div>
 <div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
 <defs>
 <symbol id="icon-database" viewBox="0 0 32 32">
@@ -922,22 +943,22 @@ <h1>Manipulating Dimensions (Data Resolution)<a class="headerlink" href="#manipu
         -0.74216502]])
 Coordinates:
   * x        (x) float64 -3.2 2.1 5.3 6.5
-  * y        (y) datetime64[ns] 2009-01-31 2009-02-28 ... 2009-05-31 2009-06-30</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4</li><li><span class='xr-has-index'>y</span>: 6</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-549517a6-6286-48cc-abc8-f51a56aeade2' class='xr-array-in' type='checkbox' checked><label for='section-549517a6-6286-48cc-abc8-f51a56aeade2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.764 0.4002 0.9787 2.241 1.868 ... -2.553 0.6536 0.8644 -0.7422</span></div><div class='xr-array-data'><pre>array([[ 1.76405235,  0.40015721,  0.97873798,  2.2408932 ,  1.86755799,
+  * y        (y) datetime64[ns] 2009-01-31 2009-02-28 ... 2009-05-31 2009-06-30</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 4</li><li><span class='xr-has-index'>y</span>: 6</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d46133f3-8b8c-4076-abd3-40b60d89c0a4' class='xr-array-in' type='checkbox' checked><label for='section-d46133f3-8b8c-4076-abd3-40b60d89c0a4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.764 0.4002 0.9787 2.241 1.868 ... -2.553 0.6536 0.8644 -0.7422</span></div><div class='xr-array-data'><pre>array([[ 1.76405235,  0.40015721,  0.97873798,  2.2408932 ,  1.86755799,
         -0.97727788],
        [ 0.95008842, -0.15135721, -0.10321885,  0.4105985 ,  0.14404357,
          1.45427351],
        [ 0.76103773,  0.12167502,  0.44386323,  0.33367433,  1.49407907,
         -0.20515826],
        [ 0.3130677 , -0.85409574, -2.55298982,  0.6536186 ,  0.8644362 ,
-        -0.74216502]])</pre></div></div></li><li class='xr-section-item'><input id='section-79908452-efc7-4c65-9cb7-a031eb6eba85' class='xr-section-summary-in' type='checkbox'  checked><label for='section-79908452-efc7-4c65-9cb7-a031eb6eba85' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.2 2.1 5.3 6.5</div><input id='attrs-aacfc390-0a20-4527-b160-a0b472e755de' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-aacfc390-0a20-4527-b160-a0b472e755de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73cabf2f-c81a-44b1-8ec1-6d6cbd1f43d1' class='xr-var-data-in' type='checkbox'><label for='data-73cabf2f-c81a-44b1-8ec1-6d6cbd1f43d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-3.2,  2.1,  5.3,  6.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2009-01-31 ... 2009-06-30</div><input id='attrs-04a82c0a-230a-46b4-93f6-500cce676a00' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-04a82c0a-230a-46b4-93f6-500cce676a00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62c7acc5-a261-4a00-a28b-6cd47a5791a5' class='xr-var-data-in' type='checkbox'><label for='data-62c7acc5-a261-4a00-a28b-6cd47a5791a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2009-01-31T00:00:00.000000000&#x27;, &#x27;2009-02-28T00:00:00.000000000&#x27;,
+        -0.74216502]])</pre></div></div></li><li class='xr-section-item'><input id='section-945cdf3e-3ac6-49b0-9876-b0d9ef29c4cd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-945cdf3e-3ac6-49b0-9876-b0d9ef29c4cd' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-3.2 2.1 5.3 6.5</div><input id='attrs-290f5d9a-71d8-4ef1-b053-ec4b7dca5468' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-290f5d9a-71d8-4ef1-b053-ec4b7dca5468' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-343c05a9-9e56-4bc0-b426-6cfaf970c34b' class='xr-var-data-in' type='checkbox'><label for='data-343c05a9-9e56-4bc0-b426-6cfaf970c34b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-3.2,  2.1,  5.3,  6.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2009-01-31 ... 2009-06-30</div><input id='attrs-8dad575e-5958-4356-85ca-95cf16e28f49' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8dad575e-5958-4356-85ca-95cf16e28f49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aacaf22b-624e-4ad2-9bf6-395bca448852' class='xr-var-data-in' type='checkbox'><label for='data-aacaf22b-624e-4ad2-9bf6-395bca448852' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2009-01-31T00:00:00.000000000&#x27;, &#x27;2009-02-28T00:00:00.000000000&#x27;,
        &#x27;2009-03-31T00:00:00.000000000&#x27;, &#x27;2009-04-30T00:00:00.000000000&#x27;,
        &#x27;2009-05-31T00:00:00.000000000&#x27;, &#x27;2009-06-30T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8baab61-65fd-488c-927f-c613558731cf' class='xr-section-summary-in' type='checkbox'  ><label for='section-d8baab61-65fd-488c-927f-c613558731cf' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d822f83-4bb4-43ac-936a-99ee235ce3df' class='xr-index-data-in' type='checkbox'/><label for='index-9d822f83-4bb4-43ac-936a-99ee235ce3df' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-3.2, 2.1, 5.3, 6.5], dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e4638243-e291-4060-8269-abf074786a4b' class='xr-index-data-in' type='checkbox'/><label for='index-e4638243-e291-4060-8269-abf074786a4b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2009-01-31&#x27;, &#x27;2009-02-28&#x27;, &#x27;2009-03-31&#x27;, &#x27;2009-04-30&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3f5aee8f-d2c3-4a34-98ce-a904c276763c' class='xr-section-summary-in' type='checkbox'  ><label for='section-3f5aee8f-d2c3-4a34-98ce-a904c276763c' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7ae585a9-ca09-4ee9-8e6e-89efdf24fd4a' class='xr-index-data-in' type='checkbox'/><label for='index-7ae585a9-ca09-4ee9-8e6e-89efdf24fd4a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-3.2, 2.1, 5.3, 6.5], dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-53c0ae34-4461-4780-b84b-7f17608b87a5' class='xr-index-data-in' type='checkbox'/><label for='index-53c0ae34-4461-4780-b84b-7f17608b87a5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2009-01-31&#x27;, &#x27;2009-02-28&#x27;, &#x27;2009-03-31&#x27;, &#x27;2009-04-30&#x27;,
                &#x27;2009-05-31&#x27;, &#x27;2009-06-30&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;y&#x27;, freq=&#x27;M&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-03c79e0b-91e5-423b-93bb-3696607faa74' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-03c79e0b-91e5-423b-93bb-3696607faa74' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;y&#x27;, freq=&#x27;ME&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d52c9c91-58a9-43a0-bc0d-3f6d2d1b351d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d52c9c91-58a9-43a0-bc0d-3f6d2d1b351d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <section id="interpolation">
-<h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to this headline">#</a></h2>
+<h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to this heading">#</a></h2>
 <p>If we want to look at values between the current grid cells (interpolation), we
 can do that with <code class="docutils literal notranslate"><span class="pre">interp</span></code> (requires <code class="docutils literal notranslate"><span class="pre">scipy</span></code>):</p>
 <div class="cell tag_hide-output docutils container">
@@ -1362,7 +1383,7 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
          3.98667848e-01,  4.59488166e-01,  5.20308484e-01]])
 Coordinates:
   * x        (x) float64 2.0 2.444 2.889 3.333 3.778 4.222 4.667 5.111 5.556 6.0
-  * y        (y) datetime64[ns] 2009-04-01 2009-04-02 ... 2009-04-29 2009-04-30</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 10</li><li><span class='xr-has-index'>y</span>: 30</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4edfd0d4-210d-4828-a15c-131325ec9bdb' class='xr-array-in' type='checkbox' checked><label for='section-4edfd0d4-210d-4828-a15c-131325ec9bdb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.06521 -0.04761 -0.03001 -0.01241 ... 0.3378 0.3987 0.4595 0.5203</span></div><div class='xr-array-data'><pre>array([[-6.52066740e-02, -4.76087761e-02, -3.00108783e-02,
+  * y        (y) datetime64[ns] 2009-04-01 2009-04-02 ... 2009-04-29 2009-04-30</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 10</li><li><span class='xr-has-index'>y</span>: 30</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1636dc37-caea-481b-9783-f32e512bedda' class='xr-array-in' type='checkbox' checked><label for='section-1636dc37-caea-481b-9783-f32e512bedda' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.06521 -0.04761 -0.03001 -0.01241 ... 0.3378 0.3987 0.4595 0.5203</span></div><div class='xr-array-data'><pre>array([[-6.52066740e-02, -4.76087761e-02, -3.00108783e-02,
         -1.24129804e-02,  5.18491747e-03,  2.27828153e-02,
          4.03807132e-02,  5.79786111e-02,  7.55765089e-02,
          9.31744068e-02,  1.10772305e-01,  1.28370203e-01,
@@ -1402,8 +1423,8 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
         -1.48715010e-01, -8.78946927e-02, -2.70743751e-02,
          3.37459426e-02,  9.45662602e-02,  1.55386578e-01,
          2.16206896e-01,  2.77027213e-01,  3.37847531e-01,
-         3.98667848e-01,  4.59488166e-01,  5.20308484e-01]])</pre></div></div></li><li class='xr-section-item'><input id='section-c9d008c3-2d9b-4d74-978d-5a7f6c3bf9e5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c9d008c3-2d9b-4d74-978d-5a7f6c3bf9e5' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0 2.444 2.889 ... 5.111 5.556 6.0</div><input id='attrs-344600ef-a56a-4ff9-8b53-9f00992d23f0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-344600ef-a56a-4ff9-8b53-9f00992d23f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3672672-15b4-4690-acfc-45268699c882' class='xr-var-data-in' type='checkbox'><label for='data-c3672672-15b4-4690-acfc-45268699c882' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([2.      , 2.444444, 2.888889, 3.333333, 3.777778, 4.222222, 4.666667,
-       5.111111, 5.555556, 6.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2009-04-01 ... 2009-04-30</div><input id='attrs-442643aa-4a39-4b1d-add2-d4c3cc962c1c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-442643aa-4a39-4b1d-add2-d4c3cc962c1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfb95b58-f827-4976-8b78-640d85e47a6c' class='xr-var-data-in' type='checkbox'><label for='data-bfb95b58-f827-4976-8b78-640d85e47a6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2009-04-01T00:00:00.000000000&#x27;, &#x27;2009-04-02T00:00:00.000000000&#x27;,
+         3.98667848e-01,  4.59488166e-01,  5.20308484e-01]])</pre></div></div></li><li class='xr-section-item'><input id='section-715ec3d2-5f1c-4e5a-9ccd-93b790c4ac82' class='xr-section-summary-in' type='checkbox'  checked><label for='section-715ec3d2-5f1c-4e5a-9ccd-93b790c4ac82' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0 2.444 2.889 ... 5.111 5.556 6.0</div><input id='attrs-68128a37-29ab-45cf-a4fb-9c1bf0fc4369' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68128a37-29ab-45cf-a4fb-9c1bf0fc4369' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3a858d7-1ce3-4557-956f-017c98d03e76' class='xr-var-data-in' type='checkbox'><label for='data-e3a858d7-1ce3-4557-956f-017c98d03e76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([2.      , 2.444444, 2.888889, 3.333333, 3.777778, 4.222222, 4.666667,
+       5.111111, 5.555556, 6.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2009-04-01 ... 2009-04-30</div><input id='attrs-d2ece6b5-a394-4605-bec1-9634bcda6ceb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2ece6b5-a394-4605-bec1-9634bcda6ceb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9ee0654-abcd-484a-9d5e-b0fa7c445a5c' class='xr-var-data-in' type='checkbox'><label for='data-e9ee0654-abcd-484a-9d5e-b0fa7c445a5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2009-04-01T00:00:00.000000000&#x27;, &#x27;2009-04-02T00:00:00.000000000&#x27;,
        &#x27;2009-04-03T00:00:00.000000000&#x27;, &#x27;2009-04-04T00:00:00.000000000&#x27;,
        &#x27;2009-04-05T00:00:00.000000000&#x27;, &#x27;2009-04-06T00:00:00.000000000&#x27;,
        &#x27;2009-04-07T00:00:00.000000000&#x27;, &#x27;2009-04-08T00:00:00.000000000&#x27;,
@@ -1418,11 +1439,11 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
        &#x27;2009-04-25T00:00:00.000000000&#x27;, &#x27;2009-04-26T00:00:00.000000000&#x27;,
        &#x27;2009-04-27T00:00:00.000000000&#x27;, &#x27;2009-04-28T00:00:00.000000000&#x27;,
        &#x27;2009-04-29T00:00:00.000000000&#x27;, &#x27;2009-04-30T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0deee256-83e0-4feb-935b-6a9a2c2b67be' class='xr-section-summary-in' type='checkbox'  ><label for='section-0deee256-83e0-4feb-935b-6a9a2c2b67be' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-82ef0121-1ef3-4f46-adef-f7fdf95c03c6' class='xr-index-data-in' type='checkbox'/><label for='index-82ef0121-1ef3-4f46-adef-f7fdf95c03c6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               2.0, 2.4444444444444446,  2.888888888888889,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e589921-a312-4cd6-b970-898e25fdee4f' class='xr-section-summary-in' type='checkbox'  ><label for='section-1e589921-a312-4cd6-b970-898e25fdee4f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0db68360-bf6b-402d-8b84-fd21b018bb2d' class='xr-index-data-in' type='checkbox'/><label for='index-0db68360-bf6b-402d-8b84-fd21b018bb2d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               2.0, 2.4444444444444446,  2.888888888888889,
         3.333333333333333, 3.7777777777777777,  4.222222222222222,
         4.666666666666666,  5.111111111111111,  5.555555555555555,
                       6.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-46662986-c5bf-4684-8f3e-0ab2b6dd534d' class='xr-index-data-in' type='checkbox'/><label for='index-46662986-c5bf-4684-8f3e-0ab2b6dd534d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2009-04-01&#x27;, &#x27;2009-04-02&#x27;, &#x27;2009-04-03&#x27;, &#x27;2009-04-04&#x27;,
+      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cfe06c72-c497-45b8-9e59-23e40af1e5aa' class='xr-index-data-in' type='checkbox'/><label for='index-cfe06c72-c497-45b8-9e59-23e40af1e5aa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2009-04-01&#x27;, &#x27;2009-04-02&#x27;, &#x27;2009-04-03&#x27;, &#x27;2009-04-04&#x27;,
                &#x27;2009-04-05&#x27;, &#x27;2009-04-06&#x27;, &#x27;2009-04-07&#x27;, &#x27;2009-04-08&#x27;,
                &#x27;2009-04-09&#x27;, &#x27;2009-04-10&#x27;, &#x27;2009-04-11&#x27;, &#x27;2009-04-12&#x27;,
                &#x27;2009-04-13&#x27;, &#x27;2009-04-14&#x27;, &#x27;2009-04-15&#x27;, &#x27;2009-04-16&#x27;,
@@ -1430,7 +1451,7 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
                &#x27;2009-04-21&#x27;, &#x27;2009-04-22&#x27;, &#x27;2009-04-23&#x27;, &#x27;2009-04-24&#x27;,
                &#x27;2009-04-25&#x27;, &#x27;2009-04-26&#x27;, &#x27;2009-04-27&#x27;, &#x27;2009-04-28&#x27;,
                &#x27;2009-04-29&#x27;, &#x27;2009-04-30&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;y&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0edea550-5a50-4564-874a-d4ce683f3bfd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0edea550-5a50-4564-874a-d4ce683f3bfd' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;y&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75bc5b47-5a34-4aec-9e69-7491dcd05b13' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-75bc5b47-5a34-4aec-9e69-7491dcd05b13' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 <p>when trying to extrapolate, the resulting values will be <code class="docutils literal notranslate"><span class="pre">nan</span></code>.</p>
@@ -1862,7 +1883,7 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
          3.55370531e-01,  3.60147652e-01,  3.64924773e-01]])
 Coordinates:
   * x        (x) float64 2.0 2.222 2.444 2.667 2.889 3.111 3.333 3.556 3.778 4.0
-  * y        (y) datetime64[ns] 2009-04-01 2009-04-02 ... 2009-04-29 2009-04-30</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 10</li><li><span class='xr-has-index'>y</span>: 30</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a3d98139-254a-4ab3-91ad-ef4c1aba328b' class='xr-array-in' type='checkbox' checked><label for='section-a3d98139-254a-4ab3-91ad-ef4c1aba328b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.06521 -0.04761 -0.03001 -0.01241 ... 0.3506 0.3554 0.3601 0.3649</span></div><div class='xr-array-data'><pre>array([[-6.52066740e-02, -4.76087761e-02, -3.00108783e-02,
+  * y        (y) datetime64[ns] 2009-04-01 2009-04-02 ... 2009-04-29 2009-04-30</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 10</li><li><span class='xr-has-index'>y</span>: 30</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-62a2ca48-f26e-43bb-a0b4-fd0d114d2322' class='xr-array-in' type='checkbox' checked><label for='section-62a2ca48-f26e-43bb-a0b4-fd0d114d2322' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.06521 -0.04761 -0.03001 -0.01241 ... 0.3506 0.3554 0.3601 0.3649</span></div><div class='xr-array-data'><pre>array([[-6.52066740e-02, -4.76087761e-02, -3.00108783e-02,
         -1.24129804e-02,  5.18491747e-03,  2.27828153e-02,
          4.03807132e-02,  5.79786111e-02,  7.55765089e-02,
          9.31744068e-02,  1.10772305e-01,  1.28370203e-01,
@@ -1902,8 +1923,8 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
          3.12376440e-01,  3.17153561e-01,  3.21930682e-01,
          3.26707803e-01,  3.31484925e-01,  3.36262046e-01,
          3.41039167e-01,  3.45816288e-01,  3.50593410e-01,
-         3.55370531e-01,  3.60147652e-01,  3.64924773e-01]])</pre></div></div></li><li class='xr-section-item'><input id='section-a8ff9479-c92e-48b9-85de-b34b3dbc4e7b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a8ff9479-c92e-48b9-85de-b34b3dbc4e7b' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0 2.222 2.444 ... 3.556 3.778 4.0</div><input id='attrs-e35adaf5-b604-413d-98ea-942ed9d2d407' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e35adaf5-b604-413d-98ea-942ed9d2d407' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15edffa7-f40b-4efc-b0cc-44b97c84b28a' class='xr-var-data-in' type='checkbox'><label for='data-15edffa7-f40b-4efc-b0cc-44b97c84b28a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([2.      , 2.222222, 2.444444, 2.666667, 2.888889, 3.111111, 3.333333,
-       3.555556, 3.777778, 4.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2009-04-01 ... 2009-04-30</div><input id='attrs-640346ff-c278-47e5-a684-430f29f601f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-640346ff-c278-47e5-a684-430f29f601f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e112ee77-76e4-4a01-a2c7-f8a239d7eac8' class='xr-var-data-in' type='checkbox'><label for='data-e112ee77-76e4-4a01-a2c7-f8a239d7eac8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2009-04-01T00:00:00.000000000&#x27;, &#x27;2009-04-02T00:00:00.000000000&#x27;,
+         3.55370531e-01,  3.60147652e-01,  3.64924773e-01]])</pre></div></div></li><li class='xr-section-item'><input id='section-f08cad93-ee94-4918-9c81-548d9c061a36' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f08cad93-ee94-4918-9c81-548d9c061a36' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0 2.222 2.444 ... 3.556 3.778 4.0</div><input id='attrs-57ce5bfe-b140-4b78-8606-7a994768debf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-57ce5bfe-b140-4b78-8606-7a994768debf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a133d2c-956a-40f7-977b-bc8644be3eb7' class='xr-var-data-in' type='checkbox'><label for='data-9a133d2c-956a-40f7-977b-bc8644be3eb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([2.      , 2.222222, 2.444444, 2.666667, 2.888889, 3.111111, 3.333333,
+       3.555556, 3.777778, 4.      ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2009-04-01 ... 2009-04-30</div><input id='attrs-200e33b5-9ee7-425a-8dbe-efb87c2b2fda' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-200e33b5-9ee7-425a-8dbe-efb87c2b2fda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a246067a-7287-464d-a79c-bb982c4ebd64' class='xr-var-data-in' type='checkbox'><label for='data-a246067a-7287-464d-a79c-bb982c4ebd64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2009-04-01T00:00:00.000000000&#x27;, &#x27;2009-04-02T00:00:00.000000000&#x27;,
        &#x27;2009-04-03T00:00:00.000000000&#x27;, &#x27;2009-04-04T00:00:00.000000000&#x27;,
        &#x27;2009-04-05T00:00:00.000000000&#x27;, &#x27;2009-04-06T00:00:00.000000000&#x27;,
        &#x27;2009-04-07T00:00:00.000000000&#x27;, &#x27;2009-04-08T00:00:00.000000000&#x27;,
@@ -1918,11 +1939,11 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
        &#x27;2009-04-25T00:00:00.000000000&#x27;, &#x27;2009-04-26T00:00:00.000000000&#x27;,
        &#x27;2009-04-27T00:00:00.000000000&#x27;, &#x27;2009-04-28T00:00:00.000000000&#x27;,
        &#x27;2009-04-29T00:00:00.000000000&#x27;, &#x27;2009-04-30T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5780e0a5-2130-4121-9571-589b7548e99b' class='xr-section-summary-in' type='checkbox'  ><label for='section-5780e0a5-2130-4121-9571-589b7548e99b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3f5a806b-bfe8-469e-8449-6c53c1e7ac63' class='xr-index-data-in' type='checkbox'/><label for='index-3f5a806b-bfe8-469e-8449-6c53c1e7ac63' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               2.0, 2.2222222222222223, 2.4444444444444446,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-577eb321-c752-42f2-af37-2e94347cb64a' class='xr-section-summary-in' type='checkbox'  ><label for='section-577eb321-c752-42f2-af37-2e94347cb64a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56599267-c3fd-44ca-8911-63b8fde70d02' class='xr-index-data-in' type='checkbox'/><label for='index-56599267-c3fd-44ca-8911-63b8fde70d02' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([               2.0, 2.2222222222222223, 2.4444444444444446,
        2.6666666666666665,  2.888888888888889,  3.111111111111111,
         3.333333333333333, 3.5555555555555554, 3.7777777777777777,
                       4.0],
-      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-60b3b0ea-7ebf-4b98-9282-a4683c4e2e7f' class='xr-index-data-in' type='checkbox'/><label for='index-60b3b0ea-7ebf-4b98-9282-a4683c4e2e7f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2009-04-01&#x27;, &#x27;2009-04-02&#x27;, &#x27;2009-04-03&#x27;, &#x27;2009-04-04&#x27;,
+      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1fe0a121-0dd7-4182-ae1c-b7a04a378d1d' class='xr-index-data-in' type='checkbox'/><label for='index-1fe0a121-0dd7-4182-ae1c-b7a04a378d1d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2009-04-01&#x27;, &#x27;2009-04-02&#x27;, &#x27;2009-04-03&#x27;, &#x27;2009-04-04&#x27;,
                &#x27;2009-04-05&#x27;, &#x27;2009-04-06&#x27;, &#x27;2009-04-07&#x27;, &#x27;2009-04-08&#x27;,
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                &#x27;2009-04-13&#x27;, &#x27;2009-04-14&#x27;, &#x27;2009-04-15&#x27;, &#x27;2009-04-16&#x27;,
@@ -1930,7 +1951,7 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
                &#x27;2009-04-21&#x27;, &#x27;2009-04-22&#x27;, &#x27;2009-04-23&#x27;, &#x27;2009-04-24&#x27;,
                &#x27;2009-04-25&#x27;, &#x27;2009-04-26&#x27;, &#x27;2009-04-27&#x27;, &#x27;2009-04-28&#x27;,
                &#x27;2009-04-29&#x27;, &#x27;2009-04-30&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;y&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ccf746f-2e90-460b-a916-5d008657fd20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6ccf746f-2e90-460b-a916-5d008657fd20' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;y&#x27;, freq=&#x27;D&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f77478ca-f1b9-4a28-b965-f9bb12b3267a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f77478ca-f1b9-4a28-b965-f9bb12b3267a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 </section>
@@ -1961,11 +1982,10 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
        href="02.1_indexing_Basic.html"
@@ -1985,10 +2005,7 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
-  
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-
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@@ -1997,6 +2014,7 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
   <div class="sidebar-secondary-item">
   <div class="page-toc tocsection onthispage">
     <i class="fa-solid fa-list"></i> Contents
@@ -2025,6 +2043,7 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2023.
@@ -2051,8 +2070,8 @@ <h2>Interpolation<a class="headerlink" href="#interpolation" title="Permalink to
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
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+<script src="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
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diff --git a/fundamentals/02.3_aligning_data_objects.html b/fundamentals/02.3_aligning_data_objects.html
index d6cb0ed2..1f10c091 100644
--- a/fundamentals/02.3_aligning_data_objects.html
+++ b/fundamentals/02.3_aligning_data_objects.html
@@ -3,7 +3,7 @@
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-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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-<link href="../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
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+
   
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@@ -118,12 +128,15 @@
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-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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+
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+
   
 
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@@ -144,13 +158,14 @@
   
   
   
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-    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
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@@ -462,20 +477,22 @@
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+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
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@@ -525,11 +542,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="computing-with-multiple-objects">
-<h1>Computing with Multiple Objects<a class="headerlink" href="#computing-with-multiple-objects" title="Permalink to this headline">#</a></h1>
+<h1>Computing with Multiple Objects<a class="headerlink" href="#computing-with-multiple-objects" title="Permalink to this heading">#</a></h1>
 <p>Learning goals:</p>
 <ul class="simple">
 <li><p>Perform operations across multiple datasets</p></li>
@@ -932,9 +949,9 @@ <h1>Computing with Multiple Objects<a class="headerlink" href="#computing-with-m
        [ 8,  9, 10, 11]])
 Coordinates:
   * space    (space) &lt;U1 &#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;
-  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 3</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-162d6e83-7334-4d29-9fa5-3406a1c2b979' class='xr-array-in' type='checkbox' checked><label for='section-162d6e83-7334-4d29-9fa5-3406a1c2b979' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9 10 11</span></div><div class='xr-array-data'><pre>array([[ 0,  1,  2,  3],
+  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 3</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e88c8e2c-0eaf-4f7d-9b12-efc03d229d52' class='xr-array-in' type='checkbox' checked><label for='section-e88c8e2c-0eaf-4f7d-9b12-efc03d229d52' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9 10 11</span></div><div class='xr-array-data'><pre>array([[ 0,  1,  2,  3],
        [ 4,  5,  6,  7],
-       [ 8,  9, 10, 11]])</pre></div></div></li><li class='xr-section-item'><input id='section-0683831f-6b54-415a-b88e-7492ee3a160a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0683831f-6b54-415a-b88e-7492ee3a160a' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</div><input id='attrs-257ac699-e58d-421a-86a0-c1b76adb000b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-257ac699-e58d-421a-86a0-c1b76adb000b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42851e7f-cec7-4675-bc37-9a961a92df4f' class='xr-var-data-in' type='checkbox'><label for='data-42851e7f-cec7-4675-bc37-9a961a92df4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-30ce945a-d62c-4bfd-9feb-9709acbb0a4f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30ce945a-d62c-4bfd-9feb-9709acbb0a4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f9afdcc-724b-4f28-b17b-2c6d99340b24' class='xr-var-data-in' type='checkbox'><label for='data-0f9afdcc-724b-4f28-b17b-2c6d99340b24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5551bb2e-7d51-4fbe-9a03-4238dfe1b7aa' class='xr-section-summary-in' type='checkbox'  ><label for='section-5551bb2e-7d51-4fbe-9a03-4238dfe1b7aa' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5f30e10c-793f-420b-a2e7-e705bdc67fac' class='xr-index-data-in' type='checkbox'/><label for='index-5f30e10c-793f-420b-a2e7-e705bdc67fac' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-736166ba-9056-4b9b-85b9-ed67fe5ffe61' class='xr-index-data-in' type='checkbox'/><label for='index-736166ba-9056-4b9b-85b9-ed67fe5ffe61' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e085f5e-bba7-4756-81c0-f2baf3081c90' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2e085f5e-bba7-4756-81c0-f2baf3081c90' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [ 8,  9, 10, 11]])</pre></div></div></li><li class='xr-section-item'><input id='section-371f7e6b-0317-45aa-81dc-3b5eb9f09f2c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-371f7e6b-0317-45aa-81dc-3b5eb9f09f2c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</div><input id='attrs-fb54a89b-c593-41b6-b592-882f0faf62b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb54a89b-c593-41b6-b592-882f0faf62b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68274a5a-7529-4cc3-b007-4eacc48aea55' class='xr-var-data-in' type='checkbox'><label for='data-68274a5a-7529-4cc3-b007-4eacc48aea55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-dca5c1b7-c993-4235-85da-d6c5e5ca675e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dca5c1b7-c993-4235-85da-d6c5e5ca675e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9faabab1-ec02-4f9f-991d-c13cc8be9b0d' class='xr-var-data-in' type='checkbox'><label for='data-9faabab1-ec02-4f9f-991d-c13cc8be9b0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-948056ff-ec7f-4c62-b839-9ced9289043d' class='xr-section-summary-in' type='checkbox'  ><label for='section-948056ff-ec7f-4c62-b839-9ced9289043d' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ee0f031d-7e39-4813-a668-073ae9af7c63' class='xr-index-data-in' type='checkbox'/><label for='index-ee0f031d-7e39-4813-a668-073ae9af7c63' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-542cf872-aa47-4c09-ad05-4e3879fad0c6' class='xr-index-data-in' type='checkbox'/><label for='index-542cf872-aa47-4c09-ad05-4e3879fad0c6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-244bd76b-d773-4f73-91e1-5ddbeef72752' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-244bd76b-d773-4f73-91e1-5ddbeef72752' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1314,7 +1331,7 @@ <h1>Computing with Multiple Objects<a class="headerlink" href="#computing-with-m
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (space: 2)&gt;
 array([0, 1])
 Coordinates:
-  * space    (space) &lt;U1 &#x27;b&#x27; &#x27;d&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f1724aab-36b4-4ea6-8478-3b306e366fa4' class='xr-array-in' type='checkbox' checked><label for='section-f1724aab-36b4-4ea6-8478-3b306e366fa4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1</span></div><div class='xr-array-data'><pre>array([0, 1])</pre></div></div></li><li class='xr-section-item'><input id='section-2864afb0-230d-4ac4-9cb9-041d272291fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2864afb0-230d-4ac4-9cb9-041d272291fa' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27; &#x27;d&#x27;</div><input id='attrs-73d09664-cf92-483a-ae14-b67439176236' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-73d09664-cf92-483a-ae14-b67439176236' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a36de428-afa7-4421-9da1-ff938806c56b' class='xr-var-data-in' type='checkbox'><label for='data-a36de428-afa7-4421-9da1-ff938806c56b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b&#x27;, &#x27;d&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9577c314-2b8f-4951-963a-ff8426c4dfc2' class='xr-section-summary-in' type='checkbox'  ><label for='section-9577c314-2b8f-4951-963a-ff8426c4dfc2' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-113b7dd6-7c2d-4bad-8450-928f4546ca5d' class='xr-index-data-in' type='checkbox'/><label for='index-113b7dd6-7c2d-4bad-8450-928f4546ca5d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b&#x27;, &#x27;d&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2da03051-b5c0-4c0d-afba-96c70f4160d9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2da03051-b5c0-4c0d-afba-96c70f4160d9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+  * space    (space) &lt;U1 &#x27;b&#x27; &#x27;d&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9b7f0d85-cf4f-4565-999c-c4592ee7686b' class='xr-array-in' type='checkbox' checked><label for='section-9b7f0d85-cf4f-4565-999c-c4592ee7686b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1</span></div><div class='xr-array-data'><pre>array([0, 1])</pre></div></div></li><li class='xr-section-item'><input id='section-878ea105-e036-486d-8949-acea07fa5d28' class='xr-section-summary-in' type='checkbox'  checked><label for='section-878ea105-e036-486d-8949-acea07fa5d28' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27; &#x27;d&#x27;</div><input id='attrs-096c2ceb-766f-44e2-bc9b-57f862fd0c89' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-096c2ceb-766f-44e2-bc9b-57f862fd0c89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99b4d7aa-9515-44f0-842c-1a6c217d15f1' class='xr-var-data-in' type='checkbox'><label for='data-99b4d7aa-9515-44f0-842c-1a6c217d15f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b&#x27;, &#x27;d&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-595fc7ee-9af4-42be-91bc-475d93070257' class='xr-section-summary-in' type='checkbox'  ><label for='section-595fc7ee-9af4-42be-91bc-475d93070257' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6577806c-e808-438c-83f9-4eecfbe41ec9' class='xr-index-data-in' type='checkbox'/><label for='index-6577806c-e808-438c-83f9-4eecfbe41ec9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b&#x27;, &#x27;d&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4cdd1178-ba38-41e1-a454-a6b52fbb8c52' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4cdd1178-ba38-41e1-a454-a6b52fbb8c52' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Note that <code class="docutils literal notranslate"><span class="pre">arr1</span></code> is 2D; while <code class="docutils literal notranslate"><span class="pre">arr2</span></code> is 1D along <code class="docutils literal notranslate"><span class="pre">space</span></code> and has values at two locations only.</p>
 <p>Now subtract the two.</p>
@@ -1692,7 +1709,7 @@ <h1>Computing with Multiple Objects<a class="headerlink" href="#computing-with-m
 array([[4, 5, 6, 7]])
 Coordinates:
   * space    (space) &lt;U1 &#x27;b&#x27;
-  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 1</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fbe82d47-bc11-4ee5-b113-aca183421ce9' class='xr-array-in' type='checkbox' checked><label for='section-fbe82d47-bc11-4ee5-b113-aca183421ce9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4 5 6 7</span></div><div class='xr-array-data'><pre>array([[4, 5, 6, 7]])</pre></div></div></li><li class='xr-section-item'><input id='section-d9b6533f-df90-4d24-a395-0ed2777edf09' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9b6533f-df90-4d24-a395-0ed2777edf09' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27;</div><input id='attrs-39db3e2c-b1cd-4405-a7f7-3dedf283234a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-39db3e2c-b1cd-4405-a7f7-3dedf283234a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2b5763c-248b-49e1-b4bf-c38bfce51d73' class='xr-var-data-in' type='checkbox'><label for='data-d2b5763c-248b-49e1-b4bf-c38bfce51d73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-d5982f9b-df3b-42b2-b3e5-8dd350b66f66' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5982f9b-df3b-42b2-b3e5-8dd350b66f66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-234340e3-d657-4192-8fc5-09cf057c226d' class='xr-var-data-in' type='checkbox'><label for='data-234340e3-d657-4192-8fc5-09cf057c226d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a569ffbd-3997-49db-97ff-8afef1a45577' class='xr-section-summary-in' type='checkbox'  ><label for='section-a569ffbd-3997-49db-97ff-8afef1a45577' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6773c7ae-8131-4930-817b-c1a0a80975c4' class='xr-index-data-in' type='checkbox'/><label for='index-6773c7ae-8131-4930-817b-c1a0a80975c4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-69c1ffc8-bc23-48ba-a4af-372465e79c21' class='xr-index-data-in' type='checkbox'/><label for='index-69c1ffc8-bc23-48ba-a4af-372465e79c21' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c837110d-8379-48a4-8a6c-9a521c583efe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c837110d-8379-48a4-8a6c-9a521c583efe' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 1</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f330a974-4bc6-4864-8158-142fb5b41b89' class='xr-array-in' type='checkbox' checked><label for='section-f330a974-4bc6-4864-8158-142fb5b41b89' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4 5 6 7</span></div><div class='xr-array-data'><pre>array([[4, 5, 6, 7]])</pre></div></div></li><li class='xr-section-item'><input id='section-cb8392ac-1a26-44a3-aa9f-136de5ccdbc9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb8392ac-1a26-44a3-aa9f-136de5ccdbc9' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27;</div><input id='attrs-25d03ca3-8a78-412a-b3e7-5657df04ab26' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-25d03ca3-8a78-412a-b3e7-5657df04ab26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9451b83d-9a10-4e24-a18d-03e727f4544c' class='xr-var-data-in' type='checkbox'><label for='data-9451b83d-9a10-4e24-a18d-03e727f4544c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-e6f58139-8fbd-4dd7-8c80-2bbdf4b5abfc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e6f58139-8fbd-4dd7-8c80-2bbdf4b5abfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90d1e668-7df2-4911-b977-2fb070b2955a' class='xr-var-data-in' type='checkbox'><label for='data-90d1e668-7df2-4911-b977-2fb070b2955a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-adb87ec3-070c-465e-82ab-a7aac5f3fad5' class='xr-section-summary-in' type='checkbox'  ><label for='section-adb87ec3-070c-465e-82ab-a7aac5f3fad5' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-add1a1d1-78c5-4357-ac21-bcdc71d5a4fb' class='xr-index-data-in' type='checkbox'/><label for='index-add1a1d1-78c5-4357-ac21-bcdc71d5a4fb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7e196410-6807-4b59-b2ab-c107e54d4ecb' class='xr-index-data-in' type='checkbox'/><label for='index-7e196410-6807-4b59-b2ab-c107e54d4ecb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43f1a11d-7802-4634-bed8-e147fe544f20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-43f1a11d-7802-4634-bed8-e147fe544f20' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>To understand this output, we must understand two fundamental concepts underlying computation with Xarray objects</p>
 <ol class="arabic simple">
@@ -1700,7 +1717,7 @@ <h1>Computing with Multiple Objects<a class="headerlink" href="#computing-with-m
 <li><p>Alignment: The objects need to have values at the same coordinate labels</p></li>
 </ol>
 <section id="broadcasting-adjusting-arrays-to-the-same-shape">
-<h2>Broadcasting: adjusting arrays to the same shape<a class="headerlink" href="#broadcasting-adjusting-arrays-to-the-same-shape" title="Permalink to this headline">#</a></h2>
+<h2>Broadcasting: adjusting arrays to the same shape<a class="headerlink" href="#broadcasting-adjusting-arrays-to-the-same-shape" title="Permalink to this heading">#</a></h2>
 <p><strong>Broadcasting</strong> allows an operator or a function to act on two or more arrays
 to operate even if these arrays do not have the same shape. That said, not all
 the dimensions can be subjected to broadcasting; they must meet certain rules.
@@ -2099,7 +2116,7 @@ <h2>Broadcasting: adjusting arrays to the same shape<a class="headerlink" href="
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;array1&#x27; (space: 3)&gt;
 array([0, 1, 2])
 Coordinates:
-  * space    (space) &lt;U1 &#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'array1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5c8009f1-08d1-4e6e-a2bf-f5acd7e45c18' class='xr-array-in' type='checkbox' checked><label for='section-5c8009f1-08d1-4e6e-a2bf-f5acd7e45c18' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2</span></div><div class='xr-array-data'><pre>array([0, 1, 2])</pre></div></div></li><li class='xr-section-item'><input id='section-6cc8fa2c-6c10-4551-8065-b4a11127f7a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6cc8fa2c-6c10-4551-8065-b4a11127f7a5' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</div><input id='attrs-5f7e7dcc-a4e1-4f3a-9011-7d89d6ab95ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f7e7dcc-a4e1-4f3a-9011-7d89d6ab95ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b64d9b0-622c-42f7-98a7-e98ac42db0f0' class='xr-var-data-in' type='checkbox'><label for='data-6b64d9b0-622c-42f7-98a7-e98ac42db0f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-367c4d93-f943-46cd-a344-1cf5e0e41e4b' class='xr-section-summary-in' type='checkbox'  ><label for='section-367c4d93-f943-46cd-a344-1cf5e0e41e4b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-12b3701f-c098-497a-b5fd-fb0f0ea30ce5' class='xr-index-data-in' type='checkbox'/><label for='index-12b3701f-c098-497a-b5fd-fb0f0ea30ce5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d58b24a-5158-43fb-b211-d1c858295564' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6d58b24a-5158-43fb-b211-d1c858295564' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div><div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
+  * space    (space) &lt;U1 &#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'array1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1dc031eb-ff21-413c-b762-bca5f13a975b' class='xr-array-in' type='checkbox' checked><label for='section-1dc031eb-ff21-413c-b762-bca5f13a975b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2</span></div><div class='xr-array-data'><pre>array([0, 1, 2])</pre></div></div></li><li class='xr-section-item'><input id='section-26e91e9b-66df-436a-bb18-9fee08f33c9c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-26e91e9b-66df-436a-bb18-9fee08f33c9c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</div><input id='attrs-9adb80a2-f00e-4513-b9fe-88ed5f113d0e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9adb80a2-f00e-4513-b9fe-88ed5f113d0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c11f44c4-e167-4e45-9d89-584aea2a36c7' class='xr-var-data-in' type='checkbox'><label for='data-c11f44c4-e167-4e45-9d89-584aea2a36c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d5708c1f-b0e9-4bcb-a0e3-98a4f489febd' class='xr-section-summary-in' type='checkbox'  ><label for='section-d5708c1f-b0e9-4bcb-a0e3-98a4f489febd' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-33606af1-c180-4412-a08f-8bee3e66a968' class='xr-index-data-in' type='checkbox'/><label for='index-33606af1-c180-4412-a08f-8bee3e66a968' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a63f952-4ad2-4d8a-aeed-f7aa717e7b3d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6a63f952-4ad2-4d8a-aeed-f7aa717e7b3d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div><div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
 <defs>
 <symbol id="icon-database" viewBox="0 0 32 32">
 <path d="M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z"></path>
@@ -2465,7 +2482,7 @@ <h2>Broadcasting: adjusting arrays to the same shape<a class="headerlink" href="
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;array2&#x27; (time: 4)&gt;
 array([0, 1, 2, 3])
 Coordinates:
-  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'array2'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-481108ef-2f33-49c9-8761-53a98c9f186c' class='xr-array-in' type='checkbox' checked><label for='section-481108ef-2f33-49c9-8761-53a98c9f186c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3</span></div><div class='xr-array-data'><pre>array([0, 1, 2, 3])</pre></div></div></li><li class='xr-section-item'><input id='section-5e064b08-efe4-4d8c-873b-7dabb336fa5f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5e064b08-efe4-4d8c-873b-7dabb336fa5f' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-3ecb0b57-753c-4552-a2b2-d123744a6a8d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ecb0b57-753c-4552-a2b2-d123744a6a8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87d75007-af9c-42df-8cf7-3e1e5e4c6ad7' class='xr-var-data-in' type='checkbox'><label for='data-87d75007-af9c-42df-8cf7-3e1e5e4c6ad7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a1789b9-b837-4c99-8752-03df6fa7dc1c' class='xr-section-summary-in' type='checkbox'  ><label for='section-0a1789b9-b837-4c99-8752-03df6fa7dc1c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3158ac5c-f76f-4de2-aeeb-5bf938df7f42' class='xr-index-data-in' type='checkbox'/><label for='index-3158ac5c-f76f-4de2-aeeb-5bf938df7f42' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee7c5f86-711b-4fba-a2df-8ada05436d6b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ee7c5f86-711b-4fba-a2df-8ada05436d6b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'array2'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-039648f2-7623-4fd2-a17d-bf8011a08e5b' class='xr-array-in' type='checkbox' checked><label for='section-039648f2-7623-4fd2-a17d-bf8011a08e5b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3</span></div><div class='xr-array-data'><pre>array([0, 1, 2, 3])</pre></div></div></li><li class='xr-section-item'><input id='section-7d3d6a4e-ec3a-49c9-9101-0583f0e6f2fc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7d3d6a4e-ec3a-49c9-9101-0583f0e6f2fc' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-a3c242c1-031b-45e1-9a77-6aaa1b51b4ad' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a3c242c1-031b-45e1-9a77-6aaa1b51b4ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3760094-d7a3-4b44-9ff4-eda3b146756b' class='xr-var-data-in' type='checkbox'><label for='data-b3760094-d7a3-4b44-9ff4-eda3b146756b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-25593078-5801-484b-b303-1329d12baab1' class='xr-section-summary-in' type='checkbox'  ><label for='section-25593078-5801-484b-b303-1329d12baab1' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7302d7d2-dc3b-4292-a822-a836aaf7f74d' class='xr-index-data-in' type='checkbox'/><label for='index-7302d7d2-dc3b-4292-a822-a836aaf7f74d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-df568fe8-ef98-4bf5-a394-4ad984f8acef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-df568fe8-ef98-4bf5-a394-4ad984f8acef' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Let’s subtract the two:</p>
 <div class="cell docutils container">
@@ -2844,9 +2861,9 @@ <h2>Broadcasting: adjusting arrays to the same shape<a class="headerlink" href="
        [ 2,  1,  0, -1]])
 Coordinates:
   * space    (space) &lt;U1 &#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;
-  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 3</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8b9ae021-f816-4594-9132-6a8ecc397b81' class='xr-array-in' type='checkbox' checked><label for='section-8b9ae021-f816-4594-9132-6a8ecc397b81' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 -1 -2 -3 1 0 -1 -2 2 1 0 -1</span></div><div class='xr-array-data'><pre>array([[ 0, -1, -2, -3],
+  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 3</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-54f76b88-6ff1-4909-8b50-53bf1506aa0e' class='xr-array-in' type='checkbox' checked><label for='section-54f76b88-6ff1-4909-8b50-53bf1506aa0e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 -1 -2 -3 1 0 -1 -2 2 1 0 -1</span></div><div class='xr-array-data'><pre>array([[ 0, -1, -2, -3],
        [ 1,  0, -1, -2],
-       [ 2,  1,  0, -1]])</pre></div></div></li><li class='xr-section-item'><input id='section-e4fd143d-6d5c-4c2c-827a-73910c9227d9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4fd143d-6d5c-4c2c-827a-73910c9227d9' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</div><input id='attrs-b5e1c9d8-2170-478c-a73f-df579693126f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b5e1c9d8-2170-478c-a73f-df579693126f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5745e44-7c78-4939-a2c0-b4652b58269a' class='xr-var-data-in' type='checkbox'><label for='data-e5745e44-7c78-4939-a2c0-b4652b58269a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-8729696f-1758-46d9-ad8d-bc54c8f845db' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8729696f-1758-46d9-ad8d-bc54c8f845db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebf130dc-b443-42b2-a8ac-d09aa8a9341e' class='xr-var-data-in' type='checkbox'><label for='data-ebf130dc-b443-42b2-a8ac-d09aa8a9341e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-597db5af-9990-4e5d-9d65-1bcea7de964b' class='xr-section-summary-in' type='checkbox'  ><label for='section-597db5af-9990-4e5d-9d65-1bcea7de964b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-13f923c4-8a7b-4bcc-946b-b126c776fff2' class='xr-index-data-in' type='checkbox'/><label for='index-13f923c4-8a7b-4bcc-946b-b126c776fff2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-defabe51-56ee-4c33-b977-2d16038e4017' class='xr-index-data-in' type='checkbox'/><label for='index-defabe51-56ee-4c33-b977-2d16038e4017' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-01c290ea-1fff-45ed-bd49-1862e53af1e3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-01c290ea-1fff-45ed-bd49-1862e53af1e3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [ 2,  1,  0, -1]])</pre></div></div></li><li class='xr-section-item'><input id='section-2423d4f4-e674-4fd5-8cf6-e629136f66c0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2423d4f4-e674-4fd5-8cf6-e629136f66c0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</div><input id='attrs-3419f195-3686-4037-bc62-63fe886c9c00' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3419f195-3686-4037-bc62-63fe886c9c00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e34d803f-2ea2-4209-85b3-ad713643ca28' class='xr-var-data-in' type='checkbox'><label for='data-e34d803f-2ea2-4209-85b3-ad713643ca28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-75dd3c88-d185-4414-9b92-7b126dcd02aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-75dd3c88-d185-4414-9b92-7b126dcd02aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-541aa5e6-5cbe-4eea-9630-c63bbc9a60a8' class='xr-var-data-in' type='checkbox'><label for='data-541aa5e6-5cbe-4eea-9630-c63bbc9a60a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-745d460a-9135-4e5e-92dd-57f9031298e3' class='xr-section-summary-in' type='checkbox'  ><label for='section-745d460a-9135-4e5e-92dd-57f9031298e3' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2b3a77c3-ff8a-4b98-9bc2-b7c3688e7c33' class='xr-index-data-in' type='checkbox'/><label for='index-2b3a77c3-ff8a-4b98-9bc2-b7c3688e7c33' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d3e3d9ee-09fd-46f4-a398-8342414f19cb' class='xr-index-data-in' type='checkbox'/><label for='index-d3e3d9ee-09fd-46f4-a398-8342414f19cb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0062d778-51e5-445b-a7f0-6ee2d6f6cf04' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0062d778-51e5-445b-a7f0-6ee2d6f6cf04' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>We see that the result is a 2D array.</p>
 <p>When subtracting, Xarray first realizes that <code class="docutils literal notranslate"><span class="pre">array1</span></code> is missing the dimension <code class="docutils literal notranslate"><span class="pre">time</span></code> and <code class="docutils literal notranslate"><span class="pre">array2</span></code> is missing the dimension <code class="docutils literal notranslate"><span class="pre">space</span></code>.  Xarray then broadcasts or “expands” both arrays to 2D with dimensions <code class="docutils literal notranslate"><span class="pre">space</span></code>, <code class="docutils literal notranslate"><span class="pre">time</span></code>. Here is an illustration:</p>
@@ -3247,12 +3264,12 @@ <h2>Broadcasting: adjusting arrays to the same shape<a class="headerlink" href="
        [ 2,  1,  0, -1]])
 Coordinates:
   * space    (space) &lt;U1 &#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;
-  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 3</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f42109af-0d35-4a8e-bb67-f9e05d99c800' class='xr-array-in' type='checkbox' checked><label for='section-f42109af-0d35-4a8e-bb67-f9e05d99c800' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 -1 -2 -3 1 0 -1 -2 2 1 0 -1</span></div><div class='xr-array-data'><pre>array([[ 0, -1, -2, -3],
+  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 3</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-861c1f92-8397-4bd2-b069-4dcd83d41488' class='xr-array-in' type='checkbox' checked><label for='section-861c1f92-8397-4bd2-b069-4dcd83d41488' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 -1 -2 -3 1 0 -1 -2 2 1 0 -1</span></div><div class='xr-array-data'><pre>array([[ 0, -1, -2, -3],
        [ 1,  0, -1, -2],
-       [ 2,  1,  0, -1]])</pre></div></div></li><li class='xr-section-item'><input id='section-e08ee906-a8a7-40a2-bf27-ada30d806b73' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e08ee906-a8a7-40a2-bf27-ada30d806b73' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</div><input id='attrs-93ca64ce-b7d2-4078-b1a0-c22b6a3269c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93ca64ce-b7d2-4078-b1a0-c22b6a3269c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dc904ce-ddb5-45f8-8486-e86d6b036ce1' class='xr-var-data-in' type='checkbox'><label for='data-3dc904ce-ddb5-45f8-8486-e86d6b036ce1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-ffe68227-e2a5-41ff-840f-3c129b0beef6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ffe68227-e2a5-41ff-840f-3c129b0beef6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43ae0c2a-12cf-4941-ae09-64e3b6dc3c6c' class='xr-var-data-in' type='checkbox'><label for='data-43ae0c2a-12cf-4941-ae09-64e3b6dc3c6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9be79691-b7a5-437f-93ce-5c4d2785991c' class='xr-section-summary-in' type='checkbox'  ><label for='section-9be79691-b7a5-437f-93ce-5c4d2785991c' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-362a6018-0701-42b4-982f-ddeed4da52f6' class='xr-index-data-in' type='checkbox'/><label for='index-362a6018-0701-42b4-982f-ddeed4da52f6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d093a6ab-940e-4313-a6ac-a4fd7c8778fb' class='xr-index-data-in' type='checkbox'/><label for='index-d093a6ab-940e-4313-a6ac-a4fd7c8778fb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c4910e70-3fc4-48fd-ada6-1ade6cd82471' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c4910e70-3fc4-48fd-ada6-1ade6cd82471' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [ 2,  1,  0, -1]])</pre></div></div></li><li class='xr-section-item'><input id='section-909c5017-0cfd-40b3-864a-5b6ac7b81635' class='xr-section-summary-in' type='checkbox'  checked><label for='section-909c5017-0cfd-40b3-864a-5b6ac7b81635' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</div><input id='attrs-94188252-8095-4ee1-a0ef-a704a6676078' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-94188252-8095-4ee1-a0ef-a704a6676078' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7975c0da-8d17-4362-ae4b-33167203ba2f' class='xr-var-data-in' type='checkbox'><label for='data-7975c0da-8d17-4362-ae4b-33167203ba2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-20fb3dcc-73b5-4d91-9aab-857735076b8d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-20fb3dcc-73b5-4d91-9aab-857735076b8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7865f7a0-de5a-45be-a3be-1128dcb70b3e' class='xr-var-data-in' type='checkbox'><label for='data-7865f7a0-de5a-45be-a3be-1128dcb70b3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a49702f0-98d0-47e2-9fda-e34d81c87818' class='xr-section-summary-in' type='checkbox'  ><label for='section-a49702f0-98d0-47e2-9fda-e34d81c87818' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-819b59f0-5959-4964-be9d-d7d3b0d05c2d' class='xr-index-data-in' type='checkbox'/><label for='index-819b59f0-5959-4964-be9d-d7d3b0d05c2d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ee6cb917-74e0-47f8-8e60-9881e44daae4' class='xr-index-data-in' type='checkbox'/><label for='index-ee6cb917-74e0-47f8-8e60-9881e44daae4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ea58c65-a913-4795-ae1d-1eed57db8cb1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0ea58c65-a913-4795-ae1d-1eed57db8cb1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <section id="broadcasting-in-numpy">
-<h3>Broadcasting in numpy<a class="headerlink" href="#broadcasting-in-numpy" title="Permalink to this headline">#</a></h3>
+<h3>Broadcasting in numpy<a class="headerlink" href="#broadcasting-in-numpy" title="Permalink to this heading">#</a></h3>
 <p>For contrast let us examine the pure numpy version  of this calculation. We use <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.data.html">.data</a> to extract the underlying numpy array object.</p>
 <div class="cell tag_raises-exception docutils container">
 <div class="cell_input docutils container">
@@ -3316,7 +3333,7 @@ <h3>Broadcasting in numpy<a class="headerlink" href="#broadcasting-in-numpy" tit
 </section>
 </section>
 <section id="alignment-putting-data-on-the-same-grid">
-<h2>Alignment: putting data on the same grid<a class="headerlink" href="#alignment-putting-data-on-the-same-grid" title="Permalink to this headline">#</a></h2>
+<h2>Alignment: putting data on the same grid<a class="headerlink" href="#alignment-putting-data-on-the-same-grid" title="Permalink to this heading">#</a></h2>
 <p>When combining two input arrays using an arithmetic operation, both arrays must first be converted to the same coordinate system. This is “alignment”.</p>
 <p><img alt="" src="../_images/alignment_schematic.png" /></p>
 <p>Here are two 2D DataArrays with different shapes.</p>
@@ -3701,9 +3718,9 @@ <h2>Alignment: putting data on the same grid<a class="headerlink" href="#alignme
        [ 8,  9, 10, 11]])
 Coordinates:
   * space    (space) &lt;U1 &#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;
-  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 3</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fe577707-16ec-47ef-b61a-2cfd1c875a23' class='xr-array-in' type='checkbox' checked><label for='section-fe577707-16ec-47ef-b61a-2cfd1c875a23' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9 10 11</span></div><div class='xr-array-data'><pre>array([[ 0,  1,  2,  3],
+  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 3</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b5b187e1-8a57-4cbe-bb80-10f3ac21b5e4' class='xr-array-in' type='checkbox' checked><label for='section-b5b187e1-8a57-4cbe-bb80-10f3ac21b5e4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9 10 11</span></div><div class='xr-array-data'><pre>array([[ 0,  1,  2,  3],
        [ 4,  5,  6,  7],
-       [ 8,  9, 10, 11]])</pre></div></div></li><li class='xr-section-item'><input id='section-a161a747-b92f-4a87-996b-3dd2e6d796a6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a161a747-b92f-4a87-996b-3dd2e6d796a6' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</div><input id='attrs-58f55456-3150-4c71-92ff-d68c6ce9352b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-58f55456-3150-4c71-92ff-d68c6ce9352b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-596308fd-7009-403e-866d-470220578872' class='xr-var-data-in' type='checkbox'><label for='data-596308fd-7009-403e-866d-470220578872' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-69833f56-5231-4e62-96b0-8afc21ee1d9d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69833f56-5231-4e62-96b0-8afc21ee1d9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f99158d5-19be-4ffa-8906-4caab36c8caa' class='xr-var-data-in' type='checkbox'><label for='data-f99158d5-19be-4ffa-8906-4caab36c8caa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-771537a2-1ff3-4e20-bf50-6908253af654' class='xr-section-summary-in' type='checkbox'  ><label for='section-771537a2-1ff3-4e20-bf50-6908253af654' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1773c11b-996e-4a1b-a656-4efb0e6a2401' class='xr-index-data-in' type='checkbox'/><label for='index-1773c11b-996e-4a1b-a656-4efb0e6a2401' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-01876994-98d8-4700-8390-0d6339327e21' class='xr-index-data-in' type='checkbox'/><label for='index-01876994-98d8-4700-8390-0d6339327e21' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a8e4ff9-fcf0-41b1-9b65-453c8e35e387' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a8e4ff9-fcf0-41b1-9b65-453c8e35e387' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [ 8,  9, 10, 11]])</pre></div></div></li><li class='xr-section-item'><input id='section-9e4d7d79-6c2e-4182-910d-db0db1d06e98' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9e4d7d79-6c2e-4182-910d-db0db1d06e98' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27;</div><input id='attrs-010bbd2b-dbf5-4b3e-8fd9-4668dd49b4b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-010bbd2b-dbf5-4b3e-8fd9-4668dd49b4b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fccdb0ca-84c8-4134-8478-6c8b5aa7f879' class='xr-var-data-in' type='checkbox'><label for='data-fccdb0ca-84c8-4134-8478-6c8b5aa7f879' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-f6a575c7-515e-438c-b248-5c3ce984c17d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f6a575c7-515e-438c-b248-5c3ce984c17d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26ac25ee-43e6-45ed-904b-d987e47b9907' class='xr-var-data-in' type='checkbox'><label for='data-26ac25ee-43e6-45ed-904b-d987e47b9907' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68114515-4b93-41ce-8888-7d9134887e86' class='xr-section-summary-in' type='checkbox'  ><label for='section-68114515-4b93-41ce-8888-7d9134887e86' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a45af2d1-4db7-4d80-89ee-511f301ef130' class='xr-index-data-in' type='checkbox'/><label for='index-a45af2d1-4db7-4d80-89ee-511f301ef130' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a534d03e-5ca0-46b1-af1a-387b4fc4e4b8' class='xr-index-data-in' type='checkbox'/><label for='index-a534d03e-5ca0-46b1-af1a-387b4fc4e4b8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d52a3170-1778-4aad-8496-8051d89ff9cd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d52a3170-1778-4aad-8496-8051d89ff9cd' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -4085,8 +4102,8 @@ <h2>Alignment: putting data on the same grid<a class="headerlink" href="#alignme
        [ 7,  8,  9, 10, 11, 12, 13]])
 Coordinates:
   * space    (space) &lt;U1 &#x27;b&#x27; &#x27;d&#x27;
-  * time     (time) int64 -2 -1 0 1 2 3 4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 2</li><li><span class='xr-has-index'>time</span>: 7</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-195ec031-5aa6-4f5d-9e34-f032eb225e99' class='xr-array-in' type='checkbox' checked><label for='section-195ec031-5aa6-4f5d-9e34-f032eb225e99' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9 10 11 12 13</span></div><div class='xr-array-data'><pre>array([[ 0,  1,  2,  3,  4,  5,  6],
-       [ 7,  8,  9, 10, 11, 12, 13]])</pre></div></div></li><li class='xr-section-item'><input id='section-b57e9c25-a12f-4637-ae81-930c2e7d29c3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b57e9c25-a12f-4637-ae81-930c2e7d29c3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27; &#x27;d&#x27;</div><input id='attrs-027dd7d0-139a-466b-8220-5edcc8233f00' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-027dd7d0-139a-466b-8220-5edcc8233f00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0911075e-5026-44d0-93d0-569c4119e341' class='xr-var-data-in' type='checkbox'><label for='data-0911075e-5026-44d0-93d0-569c4119e341' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b&#x27;, &#x27;d&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1 0 1 2 3 4</div><input id='attrs-d9f92759-beb7-441f-895e-ee5e98019047' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d9f92759-beb7-441f-895e-ee5e98019047' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46f6b104-8014-4183-9fe3-b6b9fb95e106' class='xr-var-data-in' type='checkbox'><label for='data-46f6b104-8014-4183-9fe3-b6b9fb95e106' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1,  0,  1,  2,  3,  4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e45e769c-2ba9-45e4-9931-dade9c0047af' class='xr-section-summary-in' type='checkbox'  ><label for='section-e45e769c-2ba9-45e4-9931-dade9c0047af' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a1f08186-bea3-45c4-87be-2aa8a9400444' class='xr-index-data-in' type='checkbox'/><label for='index-a1f08186-bea3-45c4-87be-2aa8a9400444' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b&#x27;, &#x27;d&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e80b07c7-48f2-452d-8723-c50e260f4518' class='xr-index-data-in' type='checkbox'/><label for='index-e80b07c7-48f2-452d-8723-c50e260f4518' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1, 0, 1, 2, 3, 4], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c6aeee3-7c8f-4845-8fa2-a59af2f945b5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3c6aeee3-7c8f-4845-8fa2-a59af2f945b5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+  * time     (time) int64 -2 -1 0 1 2 3 4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 2</li><li><span class='xr-has-index'>time</span>: 7</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-42429a09-dbb7-4fee-ab6b-384abe00f2f8' class='xr-array-in' type='checkbox' checked><label for='section-42429a09-dbb7-4fee-ab6b-384abe00f2f8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9 10 11 12 13</span></div><div class='xr-array-data'><pre>array([[ 0,  1,  2,  3,  4,  5,  6],
+       [ 7,  8,  9, 10, 11, 12, 13]])</pre></div></div></li><li class='xr-section-item'><input id='section-80461229-03dd-4f62-b95a-3616c65e13de' class='xr-section-summary-in' type='checkbox'  checked><label for='section-80461229-03dd-4f62-b95a-3616c65e13de' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27; &#x27;d&#x27;</div><input id='attrs-598a06a0-2153-41b6-980c-60a04d5e3e9f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-598a06a0-2153-41b6-980c-60a04d5e3e9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce4730c0-fb89-4068-aa5b-1b2d8a1e6a01' class='xr-var-data-in' type='checkbox'><label for='data-ce4730c0-fb89-4068-aa5b-1b2d8a1e6a01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b&#x27;, &#x27;d&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1 0 1 2 3 4</div><input id='attrs-97fb9f96-6503-4dd3-9467-96b54a14ea9e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-97fb9f96-6503-4dd3-9467-96b54a14ea9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0e6b6c5-2cec-4c3f-a021-231a28f4b943' class='xr-var-data-in' type='checkbox'><label for='data-b0e6b6c5-2cec-4c3f-a021-231a28f4b943' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1,  0,  1,  2,  3,  4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c6c31fcf-2a79-4cd3-b801-36df5e974530' class='xr-section-summary-in' type='checkbox'  ><label for='section-c6c31fcf-2a79-4cd3-b801-36df5e974530' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b3648d03-6c01-4acb-8404-b1ae9c2248c8' class='xr-index-data-in' type='checkbox'/><label for='index-b3648d03-6c01-4acb-8404-b1ae9c2248c8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b&#x27;, &#x27;d&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-947518c1-7ed5-4d61-a433-ce174fe9729f' class='xr-index-data-in' type='checkbox'/><label for='index-947518c1-7ed5-4d61-a433-ce174fe9729f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1, 0, 1, 2, 3, 4], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5dc45f6c-b439-48d8-b39a-fd994796eb3d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5dc45f6c-b439-48d8-b39a-fd994796eb3d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p><code class="docutils literal notranslate"><span class="pre">arr1</span></code> and <code class="docutils literal notranslate"><span class="pre">arr2</span></code> have the same dimensions (space, time) but have values at different locations in the (space, time) plane  with some locations in common.</p>
 <div class="admonition note">
@@ -4123,12 +4140,12 @@ <h2>Alignment: putting data on the same grid<a class="headerlink" href="#alignme
 </div>
 </details>
 <div class="cell_output docutils container">
-<img alt="../_images/202158675afb7ed881b0de66c5f37f2559ea5999b23532268140b7d587bf6b48.png" src="../_images/202158675afb7ed881b0de66c5f37f2559ea5999b23532268140b7d587bf6b48.png" />
+<img alt="../_images/f778d83eca14dce437c8dccbab7d9943edb7acc15f1be8396b1fc4a69d8743a9.png" src="../_images/f778d83eca14dce437c8dccbab7d9943edb7acc15f1be8396b1fc4a69d8743a9.png" />
 </div>
 </div>
 <p>We see that both arrays only have values in common at <code class="docutils literal notranslate"><span class="pre">x=&quot;b&quot;</span></code> and <code class="docutils literal notranslate"><span class="pre">y=[0,</span> <span class="pre">1,</span> <span class="pre">2,</span> <span class="pre">3]</span></code>. Before applying an arithmetic operation we must first modify each DataArray so that they have values at the <em>same</em> points. This is “alignment”.</p>
 <section id="controlling-alignment">
-<h3>Controlling alignment<a class="headerlink" href="#controlling-alignment" title="Permalink to this headline">#</a></h3>
+<h3>Controlling alignment<a class="headerlink" href="#controlling-alignment" title="Permalink to this heading">#</a></h3>
 <p>We can explicitly align objects using <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.align.html">xr.align</a>. The key decision to make is how to decide which points must be kept. The other way to think of alignment is that objects must be converted to a common grid prior to any operation combining multiiple objects. This decision is controlled by the <code class="docutils literal notranslate"><span class="pre">&quot;join&quot;</span></code> keyword argument. Xarray provides 5 ways to convert the coordinate labels of multiple Datasets to a common grid. This <a class="reference external" href="https://en.wikipedia.org/wiki/Join_(SQL)">terminology</a> originates in the database community.</p>
 <ol class="arabic simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">join=&quot;inner&quot;</span></code> or reindex to the “intersection set” of coordinate labels</p></li>
@@ -4514,7 +4531,7 @@ <h3>Controlling alignment<a class="headerlink" href="#controlling-alignment" tit
 array([[4, 5, 6, 7]])
 Coordinates:
   * space    (space) &lt;U1 &#x27;b&#x27;
-  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 1</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-837c4489-c34a-4595-9f93-2ca17980ae84' class='xr-array-in' type='checkbox' checked><label for='section-837c4489-c34a-4595-9f93-2ca17980ae84' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4 5 6 7</span></div><div class='xr-array-data'><pre>array([[4, 5, 6, 7]])</pre></div></div></li><li class='xr-section-item'><input id='section-13c9f447-b12b-4169-9c6d-1aa516f8016c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-13c9f447-b12b-4169-9c6d-1aa516f8016c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27;</div><input id='attrs-18a11d3c-dca1-4ecc-b4b2-4d37600e8077' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-18a11d3c-dca1-4ecc-b4b2-4d37600e8077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1070276b-c409-4539-8734-2113eb2d6604' class='xr-var-data-in' type='checkbox'><label for='data-1070276b-c409-4539-8734-2113eb2d6604' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-76907923-0bf4-40a6-bfa9-0216d30db2fd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-76907923-0bf4-40a6-bfa9-0216d30db2fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f497ea1-f4e6-475d-b70c-cb90eea1a89b' class='xr-var-data-in' type='checkbox'><label for='data-6f497ea1-f4e6-475d-b70c-cb90eea1a89b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-09ecc90b-c90e-40e8-b776-709d2a95443f' class='xr-section-summary-in' type='checkbox'  ><label for='section-09ecc90b-c90e-40e8-b776-709d2a95443f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-63f0d5ef-d160-4498-ad1e-c51a17eec2a3' class='xr-index-data-in' type='checkbox'/><label for='index-63f0d5ef-d160-4498-ad1e-c51a17eec2a3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fe22c086-df08-4d8d-890c-7563f8ed1443' class='xr-index-data-in' type='checkbox'/><label for='index-fe22c086-df08-4d8d-890c-7563f8ed1443' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cd4e540f-da25-4d77-94dd-64dabc8046ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cd4e540f-da25-4d77-94dd-64dabc8046ec' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 1</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2c0c227a-8ebd-4391-8074-e631009a4dd1' class='xr-array-in' type='checkbox' checked><label for='section-2c0c227a-8ebd-4391-8074-e631009a4dd1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4 5 6 7</span></div><div class='xr-array-data'><pre>array([[4, 5, 6, 7]])</pre></div></div></li><li class='xr-section-item'><input id='section-075f24ce-c7a1-411a-b544-8e1baba081a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-075f24ce-c7a1-411a-b544-8e1baba081a5' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27;</div><input id='attrs-88888b1f-fb6e-4f70-ab9d-c9c5b1fac01b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88888b1f-fb6e-4f70-ab9d-c9c5b1fac01b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c6bfe91-0837-4439-b20e-c293d7b76b05' class='xr-var-data-in' type='checkbox'><label for='data-0c6bfe91-0837-4439-b20e-c293d7b76b05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-935fdd3a-4ae9-4b6d-aa16-8a1d3e254309' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-935fdd3a-4ae9-4b6d-aa16-8a1d3e254309' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01cb83ab-8cbf-4fc1-99d4-23f0d8102d7a' class='xr-var-data-in' type='checkbox'><label for='data-01cb83ab-8cbf-4fc1-99d4-23f0d8102d7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-654a26af-f248-4718-9e0a-9328253211c6' class='xr-section-summary-in' type='checkbox'  ><label for='section-654a26af-f248-4718-9e0a-9328253211c6' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-050e973a-b6e2-4ab5-85d5-51a88ccbc6bf' class='xr-index-data-in' type='checkbox'/><label for='index-050e973a-b6e2-4ab5-85d5-51a88ccbc6bf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aeffffa3-fe66-4856-ba6c-b60cd8e71762' class='xr-index-data-in' type='checkbox'/><label for='index-aeffffa3-fe66-4856-ba6c-b60cd8e71762' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44b9bc5c-0770-4591-a6ac-c131ba0ab9d1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-44b9bc5c-0770-4591-a6ac-c131ba0ab9d1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -4890,7 +4907,7 @@ <h3>Controlling alignment<a class="headerlink" href="#controlling-alignment" tit
 array([[2, 3, 4, 5]])
 Coordinates:
   * space    (space) &lt;U1 &#x27;b&#x27;
-  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 1</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e9a76027-24b1-4514-a957-ac35f891c551' class='xr-array-in' type='checkbox' checked><label for='section-e9a76027-24b1-4514-a957-ac35f891c551' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2 3 4 5</span></div><div class='xr-array-data'><pre>array([[2, 3, 4, 5]])</pre></div></div></li><li class='xr-section-item'><input id='section-d889e6cd-9be9-439b-afa4-8757f43d709e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d889e6cd-9be9-439b-afa4-8757f43d709e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27;</div><input id='attrs-694cbb60-0bde-4663-a9c5-cd7508928a28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-694cbb60-0bde-4663-a9c5-cd7508928a28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66b00beb-1ab1-4c9a-9ed7-1c073042023f' class='xr-var-data-in' type='checkbox'><label for='data-66b00beb-1ab1-4c9a-9ed7-1c073042023f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-917e75ee-075f-4f6a-b195-095769eda8c4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-917e75ee-075f-4f6a-b195-095769eda8c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7467cc81-5b5f-4473-9291-f3f35d399edc' class='xr-var-data-in' type='checkbox'><label for='data-7467cc81-5b5f-4473-9291-f3f35d399edc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d269477a-0a21-4589-8292-63ee248ce3a9' class='xr-section-summary-in' type='checkbox'  ><label for='section-d269477a-0a21-4589-8292-63ee248ce3a9' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ed5bcb59-1655-44f8-801a-2d68ade2a345' class='xr-index-data-in' type='checkbox'/><label for='index-ed5bcb59-1655-44f8-801a-2d68ade2a345' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-864465b4-75cb-40e6-b4c0-2cf5a1ccf64d' class='xr-index-data-in' type='checkbox'/><label for='index-864465b4-75cb-40e6-b4c0-2cf5a1ccf64d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-09789a3f-8bf2-4c63-b820-98b3480f8e71' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-09789a3f-8bf2-4c63-b820-98b3480f8e71' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+  * time     (time) int64 0 1 2 3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 1</li><li><span class='xr-has-index'>time</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6c8d9060-13ad-4605-8247-1c1611438190' class='xr-array-in' type='checkbox' checked><label for='section-6c8d9060-13ad-4605-8247-1c1611438190' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2 3 4 5</span></div><div class='xr-array-data'><pre>array([[2, 3, 4, 5]])</pre></div></div></li><li class='xr-section-item'><input id='section-07126b11-c74a-446c-972f-5da785fc5663' class='xr-section-summary-in' type='checkbox'  checked><label for='section-07126b11-c74a-446c-972f-5da785fc5663' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;b&#x27;</div><input id='attrs-430d0230-2fe0-4701-a0d0-44a207e96a63' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-430d0230-2fe0-4701-a0d0-44a207e96a63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94542ed5-6cfe-4068-bdac-7b5d37baee19' class='xr-var-data-in' type='checkbox'><label for='data-94542ed5-6cfe-4068-bdac-7b5d37baee19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;b&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3</div><input id='attrs-88099a7b-2cf8-4542-a3d4-5bcb5d2f3ed3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88099a7b-2cf8-4542-a3d4-5bcb5d2f3ed3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1ff531a-4a12-4802-b0dd-dbb886d13ea8' class='xr-var-data-in' type='checkbox'><label for='data-e1ff531a-4a12-4802-b0dd-dbb886d13ea8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f84d219-5651-49ac-a145-7e7a5b0cab2c' class='xr-section-summary-in' type='checkbox'  ><label for='section-2f84d219-5651-49ac-a145-7e7a5b0cab2c' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-94024f1a-a941-4d1a-baff-3a626d5d4469' class='xr-index-data-in' type='checkbox'/><label for='index-94024f1a-a941-4d1a-baff-3a626d5d4469' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;b&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3c763af9-9891-46ef-83c8-1d989e52b2db' class='xr-index-data-in' type='checkbox'/><label for='index-3c763af9-9891-46ef-83c8-1d989e52b2db' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c4af248-d8da-43a7-886e-d68ce0023fc8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3c4af248-d8da-43a7-886e-d68ce0023fc8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Here’s a visual depiction of all the <code class="docutils literal notranslate"><span class="pre">join</span></code> options</p>
 <div class="cell tag_hide-input docutils container">
@@ -4921,7 +4938,7 @@ <h3>Controlling alignment<a class="headerlink" href="#controlling-alignment" tit
 </div>
 </details>
 <div class="cell_output docutils container">
-<img alt="../_images/ad070858b5c08d23a3fd5f0ab60e21a5770a3402283c31333152468a17b142df.png" src="../_images/ad070858b5c08d23a3fd5f0ab60e21a5770a3402283c31333152468a17b142df.png" />
+<img alt="../_images/1e62a726e9e9438125fd2ca88f31abd3c58e90c15c59964b8ca0e0f213d79273.png" src="../_images/1e62a726e9e9438125fd2ca88f31abd3c58e90c15c59964b8ca0e0f213d79273.png" />
 </div>
 </div>
 <div class="exercise admonition" id="dims">
@@ -4952,9 +4969,9 @@ <h3>Controlling alignment<a class="headerlink" href="#controlling-alignment" tit
 </div>
 </section>
 <section id="further-control-over-alignment">
-<h3>Further control over alignment<a class="headerlink" href="#further-control-over-alignment" title="Permalink to this headline">#</a></h3>
+<h3>Further control over alignment<a class="headerlink" href="#further-control-over-alignment" title="Permalink to this heading">#</a></h3>
 <section id="controlling-the-fill-value">
-<h4>Controlling the fill value<a class="headerlink" href="#controlling-the-fill-value" title="Permalink to this headline">#</a></h4>
+<h4>Controlling the fill value<a class="headerlink" href="#controlling-the-fill-value" title="Permalink to this heading">#</a></h4>
 <p>For all join options other than <code class="docutils literal notranslate"><span class="pre">&quot;inner&quot;</span></code> Xarray will insert a <code class="docutils literal notranslate"><span class="pre">fill_value</span></code> at locations not present in the original dataset. By default this is NaN</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -5334,10 +5351,10 @@ <h4>Controlling the fill value<a class="headerlink" href="#controlling-the-fill-
        [nan, nan, nan, nan, nan, nan, nan]])
 Coordinates:
   * space    (space) &lt;U1 &#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27; &#x27;d&#x27;
-  * time     (time) int64 -2 -1 0 1 2 3 4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 4</li><li><span class='xr-has-index'>time</span>: 7</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6e83e7ab-467a-4c98-9ac2-e8f946e9b5bd' class='xr-array-in' type='checkbox' checked><label for='section-6e83e7ab-467a-4c98-9ac2-e8f946e9b5bd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan 0.0 1.0 2.0 3.0 nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan,  0.,  1.,  2.,  3., nan],
+  * time     (time) int64 -2 -1 0 1 2 3 4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 4</li><li><span class='xr-has-index'>time</span>: 7</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5b2014ce-6822-47fc-a4fd-de0b93db1389' class='xr-array-in' type='checkbox' checked><label for='section-5b2014ce-6822-47fc-a4fd-de0b93db1389' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan 0.0 1.0 2.0 3.0 nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan,  0.,  1.,  2.,  3., nan],
        [nan, nan,  4.,  5.,  6.,  7., nan],
        [nan, nan,  8.,  9., 10., 11., nan],
-       [nan, nan, nan, nan, nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-13c2dbca-803a-45c6-a839-3c4074d4be87' class='xr-section-summary-in' type='checkbox'  checked><label for='section-13c2dbca-803a-45c6-a839-3c4074d4be87' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27; &#x27;d&#x27;</div><input id='attrs-5a8c319b-264b-4a69-a6f0-669c09dbb516' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5a8c319b-264b-4a69-a6f0-669c09dbb516' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72ad0239-a4a6-419d-b7de-204552372a0f' class='xr-var-data-in' type='checkbox'><label for='data-72ad0239-a4a6-419d-b7de-204552372a0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1 0 1 2 3 4</div><input id='attrs-3f23c839-18d9-4b11-bca1-479cc9fc721a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3f23c839-18d9-4b11-bca1-479cc9fc721a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4059bcfe-6332-4feb-896e-1f2ac2515ee2' class='xr-var-data-in' type='checkbox'><label for='data-4059bcfe-6332-4feb-896e-1f2ac2515ee2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1,  0,  1,  2,  3,  4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cfdc060d-0740-44b7-826f-a6323994bff0' class='xr-section-summary-in' type='checkbox'  ><label for='section-cfdc060d-0740-44b7-826f-a6323994bff0' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3cb9ab25-b91e-42be-801c-3d74c9c79b20' class='xr-index-data-in' type='checkbox'/><label for='index-3cb9ab25-b91e-42be-801c-3d74c9c79b20' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5d5eccda-6eb6-42f5-aa96-e0f596a2fa32' class='xr-index-data-in' type='checkbox'/><label for='index-5d5eccda-6eb6-42f5-aa96-e0f596a2fa32' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1, 0, 1, 2, 3, 4], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-13aa9816-fb14-4d25-970f-6eb95a4dfd2c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-13aa9816-fb14-4d25-970f-6eb95a4dfd2c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [nan, nan, nan, nan, nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-657a54ca-b8da-42f5-b6d7-b5d54bfdb6b3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-657a54ca-b8da-42f5-b6d7-b5d54bfdb6b3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27; &#x27;d&#x27;</div><input id='attrs-99ecb3c5-5208-4a3c-8270-2b5f154be6b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-99ecb3c5-5208-4a3c-8270-2b5f154be6b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b24f23f7-22a4-4126-8585-945094868039' class='xr-var-data-in' type='checkbox'><label for='data-b24f23f7-22a4-4126-8585-945094868039' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1 0 1 2 3 4</div><input id='attrs-a8eb3521-7f8a-4ecc-a02e-a58b597ca8d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a8eb3521-7f8a-4ecc-a02e-a58b597ca8d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e78c758e-7040-4162-9df0-66f01cfd468e' class='xr-var-data-in' type='checkbox'><label for='data-e78c758e-7040-4162-9df0-66f01cfd468e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1,  0,  1,  2,  3,  4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76459ff1-4c35-41e3-b480-a9e95494d9b1' class='xr-section-summary-in' type='checkbox'  ><label for='section-76459ff1-4c35-41e3-b480-a9e95494d9b1' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7e4a44b5-46ee-4c05-b99c-f389cbc01b39' class='xr-index-data-in' type='checkbox'/><label for='index-7e4a44b5-46ee-4c05-b99c-f389cbc01b39' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c0d24dd3-3cc7-4928-805d-e0972ae9e1a1' class='xr-index-data-in' type='checkbox'/><label for='index-c0d24dd3-3cc7-4928-805d-e0972ae9e1a1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1, 0, 1, 2, 3, 4], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5535be8f-a7de-40fd-ba1d-1b3f4b84a001' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5535be8f-a7de-40fd-ba1d-1b3f4b84a001' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Control the “fill value” by specifying the <code class="docutils literal notranslate"><span class="pre">fill_value</span></code> keyword argument</p>
 <div class="cell docutils container">
@@ -5718,14 +5735,14 @@ <h4>Controlling the fill value<a class="headerlink" href="#controlling-the-fill-
        [ 0,  0,  0,  0,  0,  0,  0]])
 Coordinates:
   * space    (space) &lt;U1 &#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27; &#x27;d&#x27;
-  * time     (time) int64 -2 -1 0 1 2 3 4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 4</li><li><span class='xr-has-index'>time</span>: 7</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4b357f3c-690a-4058-8ac6-ee1c43599f57' class='xr-array-in' type='checkbox' checked><label for='section-4b357f3c-690a-4058-8ac6-ee1c43599f57' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 0 0 1 2 3 0 0 0 4 5 6 7 0 0 0 8 9 10 11 0 0 0 0 0 0 0 0</span></div><div class='xr-array-data'><pre>array([[ 0,  0,  0,  1,  2,  3,  0],
+  * time     (time) int64 -2 -1 0 1 2 3 4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 4</li><li><span class='xr-has-index'>time</span>: 7</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bb95f17d-ec94-4022-8ab7-14a749c94ab1' class='xr-array-in' type='checkbox' checked><label for='section-bb95f17d-ec94-4022-8ab7-14a749c94ab1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 0 0 1 2 3 0 0 0 4 5 6 7 0 0 0 8 9 10 11 0 0 0 0 0 0 0 0</span></div><div class='xr-array-data'><pre>array([[ 0,  0,  0,  1,  2,  3,  0],
        [ 0,  0,  4,  5,  6,  7,  0],
        [ 0,  0,  8,  9, 10, 11,  0],
-       [ 0,  0,  0,  0,  0,  0,  0]])</pre></div></div></li><li class='xr-section-item'><input id='section-27c5a085-b3cd-4321-bde3-cff2fd5491ac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27c5a085-b3cd-4321-bde3-cff2fd5491ac' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27; &#x27;d&#x27;</div><input id='attrs-ad720036-d97d-41ba-84bc-057e61c06661' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad720036-d97d-41ba-84bc-057e61c06661' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5e07ca9-f8f6-492e-88fe-1766c63f629d' class='xr-var-data-in' type='checkbox'><label for='data-f5e07ca9-f8f6-492e-88fe-1766c63f629d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1 0 1 2 3 4</div><input id='attrs-97565468-4342-4045-914d-282bac54c136' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-97565468-4342-4045-914d-282bac54c136' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-756d5d6c-e07f-4911-b3d7-691d105464e1' class='xr-var-data-in' type='checkbox'><label for='data-756d5d6c-e07f-4911-b3d7-691d105464e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1,  0,  1,  2,  3,  4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-be611bf5-1dc4-44bc-93e1-172e9c4dac19' class='xr-section-summary-in' type='checkbox'  ><label for='section-be611bf5-1dc4-44bc-93e1-172e9c4dac19' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a5c0b811-a9bc-4937-aef6-2e3fe651a1c3' class='xr-index-data-in' type='checkbox'/><label for='index-a5c0b811-a9bc-4937-aef6-2e3fe651a1c3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5ef2123d-f3ee-43ef-b865-23ff18557155' class='xr-index-data-in' type='checkbox'/><label for='index-5ef2123d-f3ee-43ef-b865-23ff18557155' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1, 0, 1, 2, 3, 4], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-93a35df4-3b2d-4903-847f-9675898cce4a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-93a35df4-3b2d-4903-847f-9675898cce4a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [ 0,  0,  0,  0,  0,  0,  0]])</pre></div></div></li><li class='xr-section-item'><input id='section-023503b9-486c-4de1-848f-82eefef0f8c1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-023503b9-486c-4de1-848f-82eefef0f8c1' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27; &#x27;d&#x27;</div><input id='attrs-d68fed76-e1ee-4a73-9247-b218d7f035af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d68fed76-e1ee-4a73-9247-b218d7f035af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58a62336-3ba9-4109-a972-1b451751e797' class='xr-var-data-in' type='checkbox'><label for='data-58a62336-3ba9-4109-a972-1b451751e797' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1 0 1 2 3 4</div><input id='attrs-d71e79cf-90cf-441a-821e-d6f82189b7f9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d71e79cf-90cf-441a-821e-d6f82189b7f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d99f4cbf-b207-4417-99c5-c945b608b9c6' class='xr-var-data-in' type='checkbox'><label for='data-d99f4cbf-b207-4417-99c5-c945b608b9c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1,  0,  1,  2,  3,  4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b9832fc-5734-4e0c-9247-a6f3ee831421' class='xr-section-summary-in' type='checkbox'  ><label for='section-1b9832fc-5734-4e0c-9247-a6f3ee831421' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-43236d58-8997-43d6-aacc-fffd07bc7e7c' class='xr-index-data-in' type='checkbox'/><label for='index-43236d58-8997-43d6-aacc-fffd07bc7e7c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ac4a0348-dda5-42b0-a380-594790da1382' class='xr-index-data-in' type='checkbox'/><label for='index-ac4a0348-dda5-42b0-a380-594790da1382' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1, 0, 1, 2, 3, 4], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3995f14b-6168-458a-93f5-11187631e886' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3995f14b-6168-458a-93f5-11187631e886' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="checking-that-objects-are-aligned">
-<h4>Checking that objects are aligned<a class="headerlink" href="#checking-that-objects-are-aligned" title="Permalink to this headline">#</a></h4>
+<h4>Checking that objects are aligned<a class="headerlink" href="#checking-that-objects-are-aligned" title="Permalink to this heading">#</a></h4>
 <p><code class="docutils literal notranslate"><span class="pre">join=&quot;exact&quot;</span></code> is special in that it checks to make sure that the objects <em>are</em> aligned.</p>
 <p>For <code class="docutils literal notranslate"><span class="pre">arr1</span></code> and <code class="docutils literal notranslate"><span class="pre">arr2</span></code> this will raise an error since <code class="docutils literal notranslate"><span class="pre">arr1.x</span></code> is not identical to <code class="docutils literal notranslate"><span class="pre">arr2.x</span></code> (and similarly for <code class="docutils literal notranslate"><span class="pre">y</span></code>)</p>
 <div class="cell tag_raises-exception docutils container">
@@ -5740,40 +5757,40 @@ <h4>Checking that objects are aligned<a class="headerlink" href="#checking-that-
 <span class="n">Cell</span> <span class="n">In</span><span class="p">[</span><span class="mi">19</span><span class="p">],</span> <span class="n">line</span> <span class="mi">1</span>
 <span class="ne">----&gt; </span><span class="mi">1</span> <span class="n">xr</span><span class="o">.</span><span class="n">align</span><span class="p">(</span><span class="n">arr1</span><span class="p">,</span> <span class="n">arr2</span><span class="p">,</span> <span class="n">join</span><span class="o">=</span><span class="s2">&quot;exact&quot;</span><span class="p">)</span>
 
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:787,</span> in <span class="ni">align</span><span class="nt">(join, copy, indexes, exclude, fill_value, *objects)</span>
-<span class="g g-Whitespace">    </span><span class="mi">591</span><span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">592</span><span class="sd"> Given any number of Dataset and/or DataArray objects, returns new</span>
-<span class="g g-Whitespace">    </span><span class="mi">593</span><span class="sd"> objects with aligned indexes and dimension sizes.</span>
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:888,</span> in <span class="ni">align</span><span class="nt">(join, copy, indexes, exclude, fill_value, *objects)</span>
+<span class="g g-Whitespace">    </span><span class="mi">692</span><span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="g g-Whitespace">    </span><span class="mi">693</span><span class="sd"> Given any number of Dataset and/or DataArray objects, returns new</span>
+<span class="g g-Whitespace">    </span><span class="mi">694</span><span class="sd"> objects with aligned indexes and dimension sizes.</span>
 <span class="sd">   (...)</span>
-<span class="g g-Whitespace">    </span><span class="mi">777</span><span class="sd"> </span>
-<span class="g g-Whitespace">    </span><span class="mi">778</span><span class="sd"> &quot;&quot;&quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">779</span> <span class="n">aligner</span> <span class="o">=</span> <span class="n">Aligner</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">780</span>     <span class="n">objects</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">781</span>     <span class="n">join</span><span class="o">=</span><span class="n">join</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">878</span><span class="sd"> </span>
+<span class="g g-Whitespace">    </span><span class="mi">879</span><span class="sd"> &quot;&quot;&quot;</span>
+<span class="g g-Whitespace">    </span><span class="mi">880</span> <span class="n">aligner</span> <span class="o">=</span> <span class="n">Aligner</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">881</span>     <span class="n">objects</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">882</span>     <span class="n">join</span><span class="o">=</span><span class="n">join</span><span class="p">,</span>
    <span class="p">(</span><span class="o">...</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">785</span>     <span class="n">fill_value</span><span class="o">=</span><span class="n">fill_value</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">786</span> <span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">787</span> <span class="n">aligner</span><span class="o">.</span><span class="n">align</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">788</span> <span class="k">return</span> <span class="n">aligner</span><span class="o">.</span><span class="n">results</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:572,</span> in <span class="ni">Aligner.align</span><span class="nt">(self)</span>
-<span class="g g-Whitespace">    </span><span class="mi">570</span> <span class="bp">self</span><span class="o">.</span><span class="n">find_matching_unindexed_dims</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">571</span> <span class="bp">self</span><span class="o">.</span><span class="n">assert_no_index_conflict</span><span class="p">()</span>
-<span class="ne">--&gt; </span><span class="mi">572</span> <span class="bp">self</span><span class="o">.</span><span class="n">align_indexes</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">573</span> <span class="bp">self</span><span class="o">.</span><span class="n">assert_unindexed_dim_sizes_equal</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">575</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">join</span> <span class="o">==</span> <span class="s2">&quot;override&quot;</span><span class="p">:</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:417,</span> in <span class="ni">Aligner.align_indexes</span><span class="nt">(self)</span>
-<span class="g g-Whitespace">    </span><span class="mi">415</span> <span class="k">if</span> <span class="n">need_reindex</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">416</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">join</span> <span class="o">==</span> <span class="s2">&quot;exact&quot;</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">417</span>         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">418</span>             <span class="s2">&quot;cannot align objects with join=&#39;exact&#39; where &quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">419</span>             <span class="s2">&quot;index/labels/sizes are not equal along &quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">420</span>             <span class="s2">&quot;these coordinates (dimensions): &quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">421</span>             <span class="o">+</span> <span class="s2">&quot;, &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">name</span><span class="si">!r}</span><span class="s2"> </span><span class="si">{</span><span class="n">dims</span><span class="si">!r}</span><span class="s2">&quot;</span> <span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">dims</span> <span class="ow">in</span> <span class="n">key</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
-<span class="g g-Whitespace">    </span><span class="mi">422</span>         <span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">423</span>     <span class="n">joiner</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_index_joiner</span><span class="p">(</span><span class="n">index_cls</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">424</span>     <span class="n">joined_index</span> <span class="o">=</span> <span class="n">joiner</span><span class="p">(</span><span class="n">matching_indexes</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">886</span>     <span class="n">fill_value</span><span class="o">=</span><span class="n">fill_value</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">887</span> <span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">888</span> <span class="n">aligner</span><span class="o">.</span><span class="n">align</span><span class="p">()</span>
+<span class="g g-Whitespace">    </span><span class="mi">889</span> <span class="k">return</span> <span class="n">aligner</span><span class="o">.</span><span class="n">results</span>
+
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:574,</span> in <span class="ni">Aligner.align</span><span class="nt">(self)</span>
+<span class="g g-Whitespace">    </span><span class="mi">572</span> <span class="bp">self</span><span class="o">.</span><span class="n">find_matching_unindexed_dims</span><span class="p">()</span>
+<span class="g g-Whitespace">    </span><span class="mi">573</span> <span class="bp">self</span><span class="o">.</span><span class="n">assert_no_index_conflict</span><span class="p">()</span>
+<span class="ne">--&gt; </span><span class="mi">574</span> <span class="bp">self</span><span class="o">.</span><span class="n">align_indexes</span><span class="p">()</span>
+<span class="g g-Whitespace">    </span><span class="mi">575</span> <span class="bp">self</span><span class="o">.</span><span class="n">assert_unindexed_dim_sizes_equal</span><span class="p">()</span>
+<span class="g g-Whitespace">    </span><span class="mi">577</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">join</span> <span class="o">==</span> <span class="s2">&quot;override&quot;</span><span class="p">:</span>
+
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:421,</span> in <span class="ni">Aligner.align_indexes</span><span class="nt">(self)</span>
+<span class="g g-Whitespace">    </span><span class="mi">419</span> <span class="k">if</span> <span class="n">need_reindex</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">420</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">join</span> <span class="o">==</span> <span class="s2">&quot;exact&quot;</span><span class="p">:</span>
+<span class="ne">--&gt; </span><span class="mi">421</span>         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">422</span>             <span class="s2">&quot;cannot align objects with join=&#39;exact&#39; where &quot;</span>
+<span class="g g-Whitespace">    </span><span class="mi">423</span>             <span class="s2">&quot;index/labels/sizes are not equal along &quot;</span>
+<span class="g g-Whitespace">    </span><span class="mi">424</span>             <span class="s2">&quot;these coordinates (dimensions): &quot;</span>
+<span class="g g-Whitespace">    </span><span class="mi">425</span>             <span class="o">+</span> <span class="s2">&quot;, &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">name</span><span class="si">!r}</span><span class="s2"> </span><span class="si">{</span><span class="n">dims</span><span class="si">!r}</span><span class="s2">&quot;</span> <span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">dims</span> <span class="ow">in</span> <span class="n">key</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+<span class="g g-Whitespace">    </span><span class="mi">426</span>         <span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">427</span>     <span class="n">joiner</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_index_joiner</span><span class="p">(</span><span class="n">index_cls</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">428</span>     <span class="n">joined_index</span> <span class="o">=</span> <span class="n">joiner</span><span class="p">(</span><span class="n">matching_indexes</span><span class="p">)</span>
 
 <span class="ne">ValueError</span>: cannot align objects with join=&#39;exact&#39; where index/labels/sizes are not equal along these coordinates (dimensions): &#39;space&#39; (&#39;space&#39;,)
 </pre></div>
@@ -5782,7 +5799,7 @@ <h4>Checking that objects are aligned<a class="headerlink" href="#checking-that-
 </div>
 </section>
 <section id="controlling-automatic-alignment">
-<h4>Controlling automatic alignment<a class="headerlink" href="#controlling-automatic-alignment" title="Permalink to this headline">#</a></h4>
+<h4>Controlling automatic alignment<a class="headerlink" href="#controlling-automatic-alignment" title="Permalink to this heading">#</a></h4>
 <p>Xarray’s default for arithmetic operations is <code class="docutils literal notranslate"><span class="pre">join=&quot;inner&quot;</span></code>. This is controllable using the <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.set_options.html">xr.set_options</a> context manager</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -6163,10 +6180,10 @@ <h4>Controlling automatic alignment<a class="headerlink" href="#controlling-auto
        [nan, nan, nan, nan, nan, nan, nan]])
 Coordinates:
   * space    (space) &lt;U1 &#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27; &#x27;d&#x27;
-  * time     (time) int64 -2 -1 0 1 2 3 4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 4</li><li><span class='xr-has-index'>time</span>: 7</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-97b6670e-fc0c-419a-a130-3f11ef17761a' class='xr-array-in' type='checkbox' checked><label for='section-97b6670e-fc0c-419a-a130-3f11ef17761a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, nan, nan, nan, nan],
+  * time     (time) int64 -2 -1 0 1 2 3 4</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>space</span>: 4</li><li><span class='xr-has-index'>time</span>: 7</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-47c0924a-190c-401a-8eab-a5f4717e8922' class='xr-array-in' type='checkbox' checked><label for='section-47c0924a-190c-401a-8eab-a5f4717e8922' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, nan, nan, nan, nan],
        [nan, nan,  2.,  2.,  2.,  2., nan],
        [nan, nan, nan, nan, nan, nan, nan],
-       [nan, nan, nan, nan, nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-cfbe84fe-c17b-43d8-b97c-3ad37bd4cefa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cfbe84fe-c17b-43d8-b97c-3ad37bd4cefa' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27; &#x27;d&#x27;</div><input id='attrs-e54c9b76-ddad-45a7-b425-a08264118d70' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e54c9b76-ddad-45a7-b425-a08264118d70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-006a9132-3876-4d6e-b1a3-9c836442642f' class='xr-var-data-in' type='checkbox'><label for='data-006a9132-3876-4d6e-b1a3-9c836442642f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1 0 1 2 3 4</div><input id='attrs-4e408c36-8769-4e83-9904-65fdf949eb53' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e408c36-8769-4e83-9904-65fdf949eb53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0acb59d5-dbab-4138-8b7c-3300615bbfec' class='xr-var-data-in' type='checkbox'><label for='data-0acb59d5-dbab-4138-8b7c-3300615bbfec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1,  0,  1,  2,  3,  4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3fb9e8d2-b8e1-454f-b450-40a26d88b6b4' class='xr-section-summary-in' type='checkbox'  ><label for='section-3fb9e8d2-b8e1-454f-b450-40a26d88b6b4' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bdd30a9e-11b4-429d-9616-fc358633f163' class='xr-index-data-in' type='checkbox'/><label for='index-bdd30a9e-11b4-429d-9616-fc358633f163' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c50ecc21-81bc-445b-ac54-a2f98c10f352' class='xr-index-data-in' type='checkbox'/><label for='index-c50ecc21-81bc-445b-ac54-a2f98c10f352' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1, 0, 1, 2, 3, 4], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c379fd8f-951b-4048-a23d-aeea7d7ae31d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c379fd8f-951b-4048-a23d-aeea7d7ae31d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [nan, nan, nan, nan, nan, nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-6e9b8a16-f12b-4d2c-9e43-b203ad7fe26c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6e9b8a16-f12b-4d2c-9e43-b203ad7fe26c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>space</span></div><div class='xr-var-dims'>(space)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;a&#x27; &#x27;b&#x27; &#x27;c&#x27; &#x27;d&#x27;</div><input id='attrs-9a1ce625-1123-494f-ac74-ed24c8fbbe7a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9a1ce625-1123-494f-ac74-ed24c8fbbe7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3324e357-44e6-4fe0-a04d-74a648b5ff0c' class='xr-var-data-in' type='checkbox'><label for='data-3324e357-44e6-4fe0-a04d-74a648b5ff0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-2 -1 0 1 2 3 4</div><input id='attrs-f3085b78-c14f-4ab3-be15-e811ad216e03' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3085b78-c14f-4ab3-be15-e811ad216e03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d340e166-d8e2-4073-a68a-35283a1fcc0d' class='xr-var-data-in' type='checkbox'><label for='data-d340e166-d8e2-4073-a68a-35283a1fcc0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2, -1,  0,  1,  2,  3,  4])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-26473683-2305-4281-b1d6-801e8dd5b332' class='xr-section-summary-in' type='checkbox'  ><label for='section-26473683-2305-4281-b1d6-801e8dd5b332' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>space</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-73ee91d2-afa4-40cf-a3ba-be0d9c6397ed' class='xr-index-data-in' type='checkbox'/><label for='index-73ee91d2-afa4-40cf-a3ba-be0d9c6397ed' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;], dtype=&#x27;object&#x27;, name=&#x27;space&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d7f02c6c-3e05-4499-887b-85ecf8da726d' class='xr-index-data-in' type='checkbox'/><label for='index-d7f02c6c-3e05-4499-887b-85ecf8da726d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2, -1, 0, 1, 2, 3, 4], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-295de4c8-a9e8-4fe8-9b49-3b37badd5a38' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-295de4c8-a9e8-4fe8-9b49-3b37badd5a38' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 </section>
@@ -6198,11 +6215,10 @@ <h4>Controlling automatic alignment<a class="headerlink" href="#controlling-auto
 
               
               
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@@ -6222,10 +6238,7 @@ <h4>Controlling automatic alignment<a class="headerlink" href="#controlling-auto
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@@ -6234,6 +6247,7 @@ <h4>Controlling automatic alignment<a class="headerlink" href="#controlling-auto
               
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@@ -6275,6 +6289,7 @@ <h4>Controlling automatic alignment<a class="headerlink" href="#controlling-auto
   
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+
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@@ -6301,8 +6316,8 @@ <h4>Controlling automatic alignment<a class="headerlink" href="#controlling-auto
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index 191daa53..c6eb2fbc 100644
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+++ b/fundamentals/02_labeled_data.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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@@ -19,15 +19,15 @@
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+  <link href="../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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@@ -83,7 +85,15 @@
 
   
   
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@@ -431,20 +446,22 @@
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@@ -471,10 +488,10 @@ <h1>Labeled data</h1>
               
                 
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diff --git a/fundamentals/03.1_computation_with_xarray.html b/fundamentals/03.1_computation_with_xarray.html
index 174e72fd..6a6071bc 100644
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+++ b/fundamentals/03.1_computation_with_xarray.html
@@ -3,7 +3,7 @@
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-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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@@ -19,15 +19,15 @@
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@@ -85,7 +87,15 @@
 
   
   
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+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
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@@ -464,20 +479,22 @@
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@@ -518,10 +535,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="basic-computation">
-<h1>Basic Computation<a class="headerlink" href="#basic-computation" title="Permalink to this headline">#</a></h1>
+<h1>Basic Computation<a class="headerlink" href="#basic-computation" title="Permalink to this heading">#</a></h1>
 <p>In this lesson, we discuss how to do scientific computations with xarray
 objects. Our learning goals are as follows. By the end of the lesson, we will be
 able to:</p>
@@ -547,7 +564,7 @@ <h1>Basic Computation<a class="headerlink" href="#basic-computation" title="Perm
 </div>
 </div>
 <section id="example-dataset">
-<h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalink to this headline">#</a></h2>
+<h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalink to this heading">#</a></h2>
 <p>First we load a dataset. We will use the
 <a class="reference external" href="https://www.ncei.noaa.gov/products/extended-reconstructed-sst">NOAA Extended Reconstructed Sea Surface Temperature (ERSST) v5</a>
 product, a widely used and trusted gridded compilation of of historical data going back to 1854.</p>
@@ -945,14 +962,14 @@ <h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalin
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-dd7cbcc2-3997-4558-9e2f-acd321814cce' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dd7cbcc2-3997-4558-9e2f-acd321814cce' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-90daa5bb-6f44-4e97-b2c5-0e5019e4548a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90daa5bb-6f44-4e97-b2c5-0e5019e4548a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-114ada80-11c8-41f8-8d2d-5feb054bdd40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-114ada80-11c8-41f8-8d2d-5feb054bdd40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66ab062d-7e5d-4a23-9a6a-8e5b0463cb31' class='xr-var-data-in' type='checkbox'><label for='data-66ab062d-7e5d-4a23-9a6a-8e5b0463cb31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    data_modified:             2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5ad0f96a-ae62-49df-b79c-feeaab3df1a5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5ad0f96a-ae62-49df-b79c-feeaab3df1a5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-819da6d1-d8cc-464b-bf7a-6ae74a7ea55b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-819da6d1-d8cc-464b-bf7a-6ae74a7ea55b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-40e7dc24-4df5-474e-b1fa-700ecbc4ab82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40e7dc24-4df5-474e-b1fa-700ecbc4ab82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1706cafe-e485-4d6a-96c4-b700a6e35ae7' class='xr-var-data-in' type='checkbox'><label for='data-1706cafe-e485-4d6a-96c4-b700a6e35ae7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-7719724d-e36c-4d58-92e5-6a62d7c3ea21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7719724d-e36c-4d58-92e5-6a62d7c3ea21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbe8db15-d5f1-4f0d-820a-1c42b89a986e' class='xr-var-data-in' type='checkbox'><label for='data-bbe8db15-d5f1-4f0d-820a-1c42b89a986e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-27125338-d852-4b20-a1cd-a8b648eef804' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27125338-d852-4b20-a1cd-a8b648eef804' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d9ea6db-20ff-4640-8ce9-d0f7f80cdd7b' class='xr-var-data-in' type='checkbox'><label for='data-8d9ea6db-20ff-4640-8ce9-d0f7f80cdd7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -967,16 +984,16 @@ <h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalin
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-0e80eacd-d4ce-4ec1-b494-ac5fdf9f0746' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e80eacd-d4ce-4ec1-b494-ac5fdf9f0746' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-580f423d-4d99-40ef-b2df-5a7da976cdaf' class='xr-var-data-in' type='checkbox'><label for='data-580f423d-4d99-40ef-b2df-5a7da976cdaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-15aa17c4-0e20-4322-96a8-6eb4b7c4f535' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15aa17c4-0e20-4322-96a8-6eb4b7c4f535' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-781304f1-103e-4b39-9da9-f64058f0fd75' class='xr-var-data-in' type='checkbox'><label for='data-781304f1-103e-4b39-9da9-f64058f0fd75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d82a55d0-e6ff-4c41-9b2f-b58b95cb264e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d82a55d0-e6ff-4c41-9b2f-b58b95cb264e' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-73bf1458-363b-401d-833c-f83260f02709' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73bf1458-363b-401d-833c-f83260f02709' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6cbe7e51-a9b1-46af-88e4-683a3ea6d0ff' class='xr-var-data-in' type='checkbox'><label for='data-6cbe7e51-a9b1-46af-88e4-683a3ea6d0ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a8d8bcc8-e9a8-4601-926f-d7dc34542cb0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a8d8bcc8-e9a8-4601-926f-d7dc34542cb0' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-30793791-8adf-44a4-9231-ea3305ebca2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30793791-8adf-44a4-9231-ea3305ebca2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f67ebfa3-4b55-429c-8044-b597a8f53199' class='xr-var-data-in' type='checkbox'><label for='data-f67ebfa3-4b55-429c-8044-b597a8f53199' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        ...,
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
-       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-4224f049-0f78-4779-ad70-ecef78882bf6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4224f049-0f78-4779-ad70-ecef78882bf6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ec1f432-08dc-4a51-bc25-5631da0050ab' class='xr-var-data-in' type='checkbox'><label for='data-2ec1f432-08dc-4a51-bc25-5631da0050ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
+       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-ba9706cb-198a-4c72-b059-fbee25a30040' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba9706cb-198a-4c72-b059-fbee25a30040' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b0873f9-9429-4d99-bd4b-1fb5e94475e9' class='xr-var-data-in' type='checkbox'><label for='data-1b0873f9-9429-4d99-bd4b-1fb5e94475e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         ...,
@@ -1016,7 +1033,7 @@ <h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalin
         ...,
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
-        [ nan,  nan,  nan, ...,  nan,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d3e69abd-0213-4271-a08f-037a71c5e6eb' class='xr-section-summary-in' type='checkbox'  ><label for='section-d3e69abd-0213-4271-a08f-037a71c5e6eb' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8aa4466b-1a98-4e8c-bbde-a7e170bb7eb0' class='xr-index-data-in' type='checkbox'/><label for='index-8aa4466b-1a98-4e8c-bbde-a7e170bb7eb0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+        [ nan,  nan,  nan, ...,  nan,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c1e98b69-bea8-4c0c-97fa-d11afce9033a' class='xr-section-summary-in' type='checkbox'  ><label for='section-c1e98b69-bea8-4c0c-97fa-d11afce9033a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4d912556-abbb-4c4f-a680-6efe412ad6d4' class='xr-index-data-in' type='checkbox'/><label for='index-4d912556-abbb-4c4f-a680-6efe412ad6d4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1025,17 +1042,17 @@ <h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalin
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-19a39221-0462-4567-b3c7-1c300a061cba' class='xr-index-data-in' type='checkbox'/><label for='index-19a39221-0462-4567-b3c7-1c300a061cba' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d235d7d1-61c5-4aa1-b1e4-db454e14a7ba' class='xr-index-data-in' type='checkbox'/><label for='index-d235d7d1-61c5-4aa1-b1e4-db454e14a7ba' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8be5c65d-91ed-4fa9-b8aa-f3d10c2ba700' class='xr-index-data-in' type='checkbox'/><label for='index-8be5c65d-91ed-4fa9-b8aa-f3d10c2ba700' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-855c5b77-2571-4964-a4b2-96d69dea453a' class='xr-index-data-in' type='checkbox'/><label for='index-855c5b77-2571-4964-a4b2-96d69dea453a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-12754a9e-6ef6-4429-8b28-e1539167f091' class='xr-section-summary-in' type='checkbox'  ><label for='section-12754a9e-6ef6-4429-8b28-e1539167f091' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ea5f4cb8-6a4f-455f-a5ed-77cede5c96f2' class='xr-section-summary-in' type='checkbox'  ><label for='section-ea5f4cb8-6a4f-455f-a5ed-77cede5c96f2' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Let’s do some basic visualizations of the data, just to make sure it looks
 reasonable.</p>
@@ -1046,12 +1063,12 @@ <h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalin
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/ad0536c16d1eaf97154a15ebf5954093d07fb3b590c06bf377e189c32a2bf356.png" src="../_images/ad0536c16d1eaf97154a15ebf5954093d07fb3b590c06bf377e189c32a2bf356.png" />
+<img alt="../_images/2379058e19c7cebf28389048d73da11779c4f99200f48bbe1561f53a797fbab4.png" src="../_images/2379058e19c7cebf28389048d73da11779c4f99200f48bbe1561f53a797fbab4.png" />
 </div>
 </div>
 </section>
 <section id="arithmetic">
-<h2>Arithmetic<a class="headerlink" href="#arithmetic" title="Permalink to this headline">#</a></h2>
+<h2>Arithmetic<a class="headerlink" href="#arithmetic" title="Permalink to this heading">#</a></h2>
 <p>Xarray dataarrays and datasets work seamlessly with arithmetic operators and
 numpy array functions.</p>
 <p>For example, imagine we want to convert the temperature (given in Celsius) to
@@ -1432,7 +1449,7 @@ <h2>Arithmetic<a class="headerlink" href="#arithmetic" title="Permalink to this
 Coordinates:
   * lat      (lat) float32 88.0 86.0 84.0 82.0 80.0 ... -82.0 -84.0 -86.0 -88.0
   * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0
-  * time     (time) datetime64[ns] 1970-01-01 1970-02-01 ... 2021-12-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d5d6bea7-b2cd-4b5f-a170-16230ab010e2' class='xr-array-in' type='checkbox' ><label for='section-d5d6bea7-b2cd-4b5f-a170-16230ab010e2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>271.4 271.4 271.4 271.4 271.4 271.4 271.4 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[271.35, 271.35, 271.35, ..., 271.35, 271.35, 271.35],
+  * time     (time) datetime64[ns] 1970-01-01 1970-02-01 ... 2021-12-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d6e68245-fd95-48d4-ae4e-861e879165b5' class='xr-array-in' type='checkbox' ><label for='section-d6e68245-fd95-48d4-ae4e-861e879165b5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>271.4 271.4 271.4 271.4 271.4 271.4 271.4 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[271.35, 271.35, 271.35, ..., 271.35, 271.35, 271.35],
         [271.35, 271.35, 271.35, ..., 271.35, 271.35, 271.35],
         [271.35, 271.35, 271.35, ..., 271.35, 271.35, 271.35],
         ...,
@@ -1472,14 +1489,14 @@ <h2>Arithmetic<a class="headerlink" href="#arithmetic" title="Permalink to this
         [   nan,    nan,    nan, ...,    nan,    nan,    nan],
         [   nan,    nan,    nan, ...,    nan,    nan,    nan],
         [   nan,    nan,    nan, ...,    nan,    nan,    nan]]],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c381342c-6b99-4a85-a67f-298fdd2da34c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c381342c-6b99-4a85-a67f-298fdd2da34c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-0384e340-da9b-49a7-b2af-c7de88b9c594' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0384e340-da9b-49a7-b2af-c7de88b9c594' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60b500d0-ceed-42c4-8056-5914a634dc28' class='xr-var-data-in' type='checkbox'><label for='data-60b500d0-ceed-42c4-8056-5914a634dc28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-1e317c60-613b-498e-ab46-a02263429294' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1e317c60-613b-498e-ab46-a02263429294' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-3bd30e44-d8f1-47df-84ee-34b709fecde6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bd30e44-d8f1-47df-84ee-34b709fecde6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7af9883-799f-474c-b33c-b9f969549d77' class='xr-var-data-in' type='checkbox'><label for='data-f7af9883-799f-474c-b33c-b9f969549d77' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-8ec1c4d4-b884-44c5-b553-49cd3a17bf1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ec1c4d4-b884-44c5-b553-49cd3a17bf1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad805228-d765-4db2-9f00-7baa419dcb38' class='xr-var-data-in' type='checkbox'><label for='data-ad805228-d765-4db2-9f00-7baa419dcb38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-995ae059-7297-4df2-a17b-638b97cf5257' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-995ae059-7297-4df2-a17b-638b97cf5257' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da18c40a-5480-4497-b5cc-36c6279345e8' class='xr-var-data-in' type='checkbox'><label for='data-da18c40a-5480-4497-b5cc-36c6279345e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -1494,10 +1511,10 @@ <h2>Arithmetic<a class="headerlink" href="#arithmetic" title="Permalink to this
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-98e267ab-0881-41d4-88ab-0cc2342424a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98e267ab-0881-41d4-88ab-0cc2342424a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-106c553c-dd6b-4285-b2f0-beb4ba2cfd8b' class='xr-var-data-in' type='checkbox'><label for='data-106c553c-dd6b-4285-b2f0-beb4ba2cfd8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-9de73435-7685-4a07-9e28-c31adb017fa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9de73435-7685-4a07-9e28-c31adb017fa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba5e0a3d-c33d-4353-935a-711221d7d9bd' class='xr-var-data-in' type='checkbox'><label for='data-ba5e0a3d-c33d-4353-935a-711221d7d9bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-abcb5150-d478-4b16-bc59-58dbb60a6a15' class='xr-section-summary-in' type='checkbox'  ><label for='section-abcb5150-d478-4b16-bc59-58dbb60a6a15' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-489539dc-a33b-4162-b35c-f584c29645c4' class='xr-index-data-in' type='checkbox'/><label for='index-489539dc-a33b-4162-b35c-f584c29645c4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a090bd7-ab02-4ef0-b34a-a8616df582a1' class='xr-section-summary-in' type='checkbox'  ><label for='section-3a090bd7-ab02-4ef0-b34a-a8616df582a1' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e08e50c4-832b-444c-9d5a-4906f1f49b79' class='xr-index-data-in' type='checkbox'/><label for='index-e08e50c4-832b-444c-9d5a-4906f1f49b79' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1506,17 +1523,17 @@ <h2>Arithmetic<a class="headerlink" href="#arithmetic" title="Permalink to this
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d5a309a-aff6-4f14-9e31-75a4b3689f30' class='xr-index-data-in' type='checkbox'/><label for='index-9d5a309a-aff6-4f14-9e31-75a4b3689f30' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8b9e24af-ce14-410d-a17e-cee0cbc3d1a7' class='xr-index-data-in' type='checkbox'/><label for='index-8b9e24af-ce14-410d-a17e-cee0cbc3d1a7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7c2bca30-9931-4b3a-93a5-5c42d8b96238' class='xr-index-data-in' type='checkbox'/><label for='index-7c2bca30-9931-4b3a-93a5-5c42d8b96238' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ec5b7ed7-e006-4407-89f4-3d62996faad1' class='xr-index-data-in' type='checkbox'/><label for='index-ec5b7ed7-e006-4407-89f4-3d62996faad1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-38423c71-7395-4d7a-abf3-a5f6beeab525' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-38423c71-7395-4d7a-abf3-a5f6beeab525' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dcc7372f-f72d-403b-af77-646911e3bd72' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dcc7372f-f72d-403b-af77-646911e3bd72' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>The dimensions and coordinates were preserved following the operation.</p>
 <div class="alert alert-warning">
@@ -1525,7 +1542,7 @@ <h2>Arithmetic<a class="headerlink" href="#arithmetic" title="Permalink to this
 </div>
 </section>
 <section id="applying-functions">
-<h2>Applying functions<a class="headerlink" href="#applying-functions" title="Permalink to this headline">#</a></h2>
+<h2>Applying functions<a class="headerlink" href="#applying-functions" title="Permalink to this heading">#</a></h2>
 <p>We can apply more complex functions to Xarray objects.
 Imagine we wanted to compute the following expression as a function of SST
 (<span class="math notranslate nohighlight">\(\Theta\)</span>) in Kelvin:</p>
@@ -1907,7 +1924,7 @@ <h2>Applying functions<a class="headerlink" href="#applying-functions" title="Pe
 Coordinates:
   * lat      (lat) float32 88.0 86.0 84.0 82.0 80.0 ... -82.0 -84.0 -86.0 -88.0
   * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0
-  * time     (time) datetime64[ns] 1970-01-01 1970-02-01 ... 2021-12-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-89efab75-09ce-405e-8d43-1d3a546c9db5' class='xr-array-in' type='checkbox' ><label for='section-89efab75-09ce-405e-8d43-1d3a546c9db5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.603 5.603 5.603 5.603 5.603 5.603 5.603 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[5.60341, 5.60341, 5.60341, ..., 5.60341, 5.60341, 5.60341],
+  * time     (time) datetime64[ns] 1970-01-01 1970-02-01 ... 2021-12-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8d6817e9-6a6e-46a1-9c29-ef79b9c66a2c' class='xr-array-in' type='checkbox' ><label for='section-8d6817e9-6a6e-46a1-9c29-ef79b9c66a2c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.603 5.603 5.603 5.603 5.603 5.603 5.603 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[5.60341, 5.60341, 5.60341, ..., 5.60341, 5.60341, 5.60341],
         [5.60341, 5.60341, 5.60341, ..., 5.60341, 5.60341, 5.60341],
         [5.60341, 5.60341, 5.60341, ..., 5.60341, 5.60341, 5.60341],
         ...,
@@ -1947,14 +1964,14 @@ <h2>Applying functions<a class="headerlink" href="#applying-functions" title="Pe
         [    nan,     nan,     nan, ...,     nan,     nan,     nan],
         [    nan,     nan,     nan, ...,     nan,     nan,     nan],
         [    nan,     nan,     nan, ...,     nan,     nan,     nan]]],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-08af6619-d02c-4595-84af-f3eaec111e96' class='xr-section-summary-in' type='checkbox'  checked><label for='section-08af6619-d02c-4595-84af-f3eaec111e96' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-47ac3e9e-fe3a-4806-8de3-633729c933a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47ac3e9e-fe3a-4806-8de3-633729c933a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d74d6e77-1c38-452c-bab9-709ac2e06d3d' class='xr-var-data-in' type='checkbox'><label for='data-d74d6e77-1c38-452c-bab9-709ac2e06d3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-55c10b4c-0a2d-4e66-a933-f4069bd3eee4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-55c10b4c-0a2d-4e66-a933-f4069bd3eee4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-d09a3fe9-6b4b-40c8-abfa-c60a466cd75e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d09a3fe9-6b4b-40c8-abfa-c60a466cd75e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d651f1a-5149-47eb-8bc5-34b63fcbf3d9' class='xr-var-data-in' type='checkbox'><label for='data-4d651f1a-5149-47eb-8bc5-34b63fcbf3d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-9a6b2faa-3345-4c55-bb30-d27f46b6fe7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a6b2faa-3345-4c55-bb30-d27f46b6fe7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10dd84ca-0aa6-4c99-93a9-3bb771445e83' class='xr-var-data-in' type='checkbox'><label for='data-10dd84ca-0aa6-4c99-93a9-3bb771445e83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-d3676de3-65b3-48c9-820b-53c6b64ea384' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3676de3-65b3-48c9-820b-53c6b64ea384' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-324181d4-2913-492b-9d57-5731c10beae5' class='xr-var-data-in' type='checkbox'><label for='data-324181d4-2913-492b-9d57-5731c10beae5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -1969,10 +1986,10 @@ <h2>Applying functions<a class="headerlink" href="#applying-functions" title="Pe
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-a833387a-d8ff-4b50-83e4-75dc29cc726a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a833387a-d8ff-4b50-83e4-75dc29cc726a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdcb0e4a-fefa-4f3b-b6ed-83bf3f60d3d2' class='xr-var-data-in' type='checkbox'><label for='data-fdcb0e4a-fefa-4f3b-b6ed-83bf3f60d3d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-14372a84-9f76-44f4-ae06-444417fddf5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14372a84-9f76-44f4-ae06-444417fddf5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a527983-11dd-45ac-9665-414cefca440a' class='xr-var-data-in' type='checkbox'><label for='data-2a527983-11dd-45ac-9665-414cefca440a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac2616f4-d085-47e8-8ea2-add558889bfd' class='xr-section-summary-in' type='checkbox'  ><label for='section-ac2616f4-d085-47e8-8ea2-add558889bfd' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-198aa090-e0da-47e6-b2e0-35a2a10d97d5' class='xr-index-data-in' type='checkbox'/><label for='index-198aa090-e0da-47e6-b2e0-35a2a10d97d5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dc999ee2-890c-44f2-aaa1-f32ff28edc33' class='xr-section-summary-in' type='checkbox'  ><label for='section-dc999ee2-890c-44f2-aaa1-f32ff28edc33' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-365c7c77-0fe9-4351-9287-4a0f08b82253' class='xr-index-data-in' type='checkbox'/><label for='index-365c7c77-0fe9-4351-9287-4a0f08b82253' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1981,21 +1998,21 @@ <h2>Applying functions<a class="headerlink" href="#applying-functions" title="Pe
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b66b4ea4-1201-4175-9ec4-a2332c428ae7' class='xr-index-data-in' type='checkbox'/><label for='index-b66b4ea4-1201-4175-9ec4-a2332c428ae7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8842ce9f-8be1-497f-9e57-efa888e41b40' class='xr-index-data-in' type='checkbox'/><label for='index-8842ce9f-8be1-497f-9e57-efa888e41b40' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4e7fe277-0fd4-4d51-93c2-a77c3501ffac' class='xr-index-data-in' type='checkbox'/><label for='index-4e7fe277-0fd4-4d51-93c2-a77c3501ffac' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-60645821-2a72-4bf2-b7cf-9fdd1468d9ed' class='xr-index-data-in' type='checkbox'/><label for='index-60645821-2a72-4bf2-b7cf-9fdd1468d9ed' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-54ca12d6-b9ca-4dd3-b4d3-70f91c7adf53' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-54ca12d6-b9ca-4dd3-b4d3-70f91c7adf53' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ecb8196-f3e2-4c14-afe6-bca549b88f66' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0ecb8196-f3e2-4c14-afe6-bca549b88f66' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="applying-arbitrary-functions">
-<h2>Applying Arbitrary Functions<a class="headerlink" href="#applying-arbitrary-functions" title="Permalink to this headline">#</a></h2>
+<h2>Applying Arbitrary Functions<a class="headerlink" href="#applying-arbitrary-functions" title="Permalink to this heading">#</a></h2>
 <p>It’s awesome that we can call <code class="docutils literal notranslate"><span class="pre">np.log(ds)</span></code> and have it “just work”. However, not
 all third party libraries work this way.</p>
 <p>numpy’s <a class="reference external" href="https://numpy.org/devdocs/reference/generated/numpy.nan_to_num.html">nan_to_num</a> for example will return a numpy array</p>
@@ -2436,7 +2453,7 @@ <h2>Applying Arbitrary Functions<a class="headerlink" href="#applying-arbitrary-
 Coordinates:
   * lat      (lat) float32 88.0 86.0 84.0 82.0 80.0 ... -82.0 -84.0 -86.0 -88.0
   * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0
-  * time     (time) datetime64[ns] 1970-01-01 1970-02-01 ... 2021-12-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b10bfdd0-6b51-4f4f-a968-1dc3ab86a061' class='xr-array-in' type='checkbox' ><label for='section-b10bfdd0-6b51-4f4f-a968-1dc3ab86a061' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.8 -1.8 -1.8 -1.8 -1.8 -1.8 -1.8 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
+  * time     (time) datetime64[ns] 1970-01-01 1970-02-01 ... 2021-12-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-13594444-9ac1-4a01-b0a6-a027223ff1aa' class='xr-array-in' type='checkbox' ><label for='section-13594444-9ac1-4a01-b0a6-a027223ff1aa' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.8 -1.8 -1.8 -1.8 -1.8 -1.8 -1.8 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         ...,
@@ -2476,14 +2493,14 @@ <h2>Applying Arbitrary Functions<a class="headerlink" href="#applying-arbitrary-
         ...,
         [ 0. ,  0. ,  0. , ...,  0. ,  0. ,  0. ],
         [ 0. ,  0. ,  0. , ...,  0. ,  0. ,  0. ],
-        [ 0. ,  0. ,  0. , ...,  0. ,  0. ,  0. ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-8743b5c7-464b-4be1-9fa6-70ac4046ff75' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8743b5c7-464b-4be1-9fa6-70ac4046ff75' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-6f278ed6-b71a-4dcf-8730-b3ec01be187c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f278ed6-b71a-4dcf-8730-b3ec01be187c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-057caece-44a5-4e96-8de6-564a19324ed1' class='xr-var-data-in' type='checkbox'><label for='data-057caece-44a5-4e96-8de6-564a19324ed1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+        [ 0. ,  0. ,  0. , ...,  0. ,  0. ,  0. ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c44fd690-8014-41c6-a6b0-401ad848f9f9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c44fd690-8014-41c6-a6b0-401ad848f9f9' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-56ceb043-39f3-4763-9591-669c127e7fae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56ceb043-39f3-4763-9591-669c127e7fae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4c8af13-3671-40bd-a6f5-b51de3128b2a' class='xr-var-data-in' type='checkbox'><label for='data-b4c8af13-3671-40bd-a6f5-b51de3128b2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-29031a53-13f4-4d0b-beeb-188ce07c35fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29031a53-13f4-4d0b-beeb-188ce07c35fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dd2b0cf-a730-413e-9890-e907be0f61b9' class='xr-var-data-in' type='checkbox'><label for='data-6dd2b0cf-a730-413e-9890-e907be0f61b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-71f32d07-0656-4eb8-b566-f738868a3a49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71f32d07-0656-4eb8-b566-f738868a3a49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae7d10ad-a603-48ab-8269-c392325b6532' class='xr-var-data-in' type='checkbox'><label for='data-ae7d10ad-a603-48ab-8269-c392325b6532' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -2498,10 +2515,10 @@ <h2>Applying Arbitrary Functions<a class="headerlink" href="#applying-arbitrary-
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-3ab81960-a33b-4732-94e1-65e747978626' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ab81960-a33b-4732-94e1-65e747978626' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7d91986-9ab9-4454-89d7-58359787b351' class='xr-var-data-in' type='checkbox'><label for='data-b7d91986-9ab9-4454-89d7-58359787b351' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-c6120a4d-e944-46d8-8519-78d077f4644e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6120a4d-e944-46d8-8519-78d077f4644e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77abb2d6-09f3-4594-903d-7a41a741864f' class='xr-var-data-in' type='checkbox'><label for='data-77abb2d6-09f3-4594-903d-7a41a741864f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4938ed12-385d-42ff-9e72-cb8c2e885071' class='xr-section-summary-in' type='checkbox'  ><label for='section-4938ed12-385d-42ff-9e72-cb8c2e885071' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a9d0233b-bed1-476f-8f90-472a5e75a03e' class='xr-index-data-in' type='checkbox'/><label for='index-a9d0233b-bed1-476f-8f90-472a5e75a03e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cd066098-7cd1-4f51-b606-0d9be6d76629' class='xr-section-summary-in' type='checkbox'  ><label for='section-cd066098-7cd1-4f51-b606-0d9be6d76629' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c90a345a-d227-449e-b431-ada67ce3f26e' class='xr-index-data-in' type='checkbox'/><label for='index-c90a345a-d227-449e-b431-ada67ce3f26e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -2510,17 +2527,17 @@ <h2>Applying Arbitrary Functions<a class="headerlink" href="#applying-arbitrary-
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9c7335ae-42d8-4120-ba3a-8ff81c15157d' class='xr-index-data-in' type='checkbox'/><label for='index-9c7335ae-42d8-4120-ba3a-8ff81c15157d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3f921dd9-3e68-48e1-931d-4b9ef3fc26b9' class='xr-index-data-in' type='checkbox'/><label for='index-3f921dd9-3e68-48e1-931d-4b9ef3fc26b9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d54d228f-118c-48fb-8f1c-7043696d451e' class='xr-index-data-in' type='checkbox'/><label for='index-d54d228f-118c-48fb-8f1c-7043696d451e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2fab3f34-801c-42ff-af3e-d06dccc26030' class='xr-index-data-in' type='checkbox'/><label for='index-2fab3f34-801c-42ff-af3e-d06dccc26030' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5405f792-23fe-43b6-8859-b90be960d0e2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5405f792-23fe-43b6-8859-b90be960d0e2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2aa4cb1d-9642-4454-95d3-ca92319e6062' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2aa4cb1d-9642-4454-95d3-ca92319e6062' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="admonition tip">
 <p class="admonition-title">Tip</p>
@@ -2528,7 +2545,7 @@ <h2>Applying Arbitrary Functions<a class="headerlink" href="#applying-arbitrary-
 </div>
 </section>
 <section id="reductions">
-<h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this headline">#</a></h2>
+<h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this heading">#</a></h2>
 <p>Reductions are functions that reduce the dimensionlity of our dataset. For example taking the mean sea surface temperature along <code class="docutils literal notranslate"><span class="pre">time</span></code> of our 3D data, we “reduce” the  <code class="docutils literal notranslate"><span class="pre">time</span></code> dimension and are left with a 2D array.</p>
 <p>Just like in numpy, we can reduce xarray DataArrays along any number of axes.</p>
 <div class="cell docutils container">
@@ -2906,7 +2923,7 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
 -1.799 -1.799 -1.799 -1.799 -1.799 -1.8 -1.8 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0
 Coordinates:
   * lat      (lat) float32 88.0 86.0 84.0 82.0 80.0 ... -82.0 -84.0 -86.0 -88.0
-  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ae2528e5-6377-497f-ae57-064c97e2f8c6' class='xr-array-in' type='checkbox' ><label for='section-ae2528e5-6377-497f-ae57-064c97e2f8c6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.799 -1.799 -1.799 -1.799 -1.799 -1.8 ... 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[-1.7994001, -1.7994308, -1.799454 , ..., -1.7995095, -1.7994332,
+  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-235627d7-f170-4bb6-80ac-784e955d604c' class='xr-array-in' type='checkbox' ><label for='section-235627d7-f170-4bb6-80ac-784e955d604c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.799 -1.799 -1.799 -1.799 -1.799 -1.8 ... 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[-1.7994001, -1.7994308, -1.799454 , ..., -1.7995095, -1.7994332,
         -1.7993788],
        [-1.7994279, -1.7993731, -1.7993406, ..., -1.7998322, -1.7995983,
         -1.7995111],
@@ -2918,14 +2935,14 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
        [ 0.       ,  0.       ,  0.       , ...,  0.       ,  0.       ,
          0.       ],
        [ 0.       ,  0.       ,  0.       , ...,  0.       ,  0.       ,
-         0.       ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-135955e3-d0c0-4b33-81f0-62ff5d0d4a51' class='xr-section-summary-in' type='checkbox'  checked><label for='section-135955e3-d0c0-4b33-81f0-62ff5d0d4a51' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-ac15e76a-809a-452a-a18a-510756d2dd81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac15e76a-809a-452a-a18a-510756d2dd81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba3f1469-9cb8-44ee-9a26-5339845907c2' class='xr-var-data-in' type='checkbox'><label for='data-ba3f1469-9cb8-44ee-9a26-5339845907c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+         0.       ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-1fb34741-fa87-4c2f-a49c-5a5d0d0bbad5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1fb34741-fa87-4c2f-a49c-5a5d0d0bbad5' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-66ce16c0-1f5e-4fee-befa-6e2978b3acb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66ce16c0-1f5e-4fee-befa-6e2978b3acb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28863cdd-3a8e-4043-8b70-d3c0b1d4ccd2' class='xr-var-data-in' type='checkbox'><label for='data-28863cdd-3a8e-4043-8b70-d3c0b1d4ccd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-d1927752-fb79-4a93-a620-85df960c79fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1927752-fb79-4a93-a620-85df960c79fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d73ac6e1-14a0-4f79-a13c-671375330843' class='xr-var-data-in' type='checkbox'><label for='data-d73ac6e1-14a0-4f79-a13c-671375330843' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-b8be303c-0303-407d-a32e-f10eb434adf2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8be303c-0303-407d-a32e-f10eb434adf2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4decf7bd-b40d-4cee-b9d9-3a930c811765' class='xr-var-data-in' type='checkbox'><label for='data-4decf7bd-b40d-4cee-b9d9-3a930c811765' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -2940,7 +2957,7 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6f319c23-5fc6-44b1-8d9d-f81c6f9f8c6c' class='xr-section-summary-in' type='checkbox'  ><label for='section-6f319c23-5fc6-44b1-8d9d-f81c6f9f8c6c' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-92fa5189-0904-42d4-8f35-3e9cf60515c5' class='xr-index-data-in' type='checkbox'/><label for='index-92fa5189-0904-42d4-8f35-3e9cf60515c5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0bb88f4-c05c-49d8-b3c9-f8aaf240288e' class='xr-section-summary-in' type='checkbox'  ><label for='section-d0bb88f4-c05c-49d8-b3c9-f8aaf240288e' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-15f406b0-4578-428c-9076-cd04713aa4e2' class='xr-index-data-in' type='checkbox'/><label for='index-15f406b0-4578-428c-9076-cd04713aa4e2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -2949,10 +2966,10 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7757a73d-18e4-493f-89b9-6a2eb09c1c98' class='xr-index-data-in' type='checkbox'/><label for='index-7757a73d-18e4-493f-89b9-6a2eb09c1c98' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4edc0edf-2ad3-414d-bfc9-d5b00d96ad40' class='xr-index-data-in' type='checkbox'/><label for='index-4edc0edf-2ad3-414d-bfc9-d5b00d96ad40' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9f4387f3-a428-49de-babe-4c3807105b6f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9f4387f3-a428-49de-babe-4c3807105b6f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ff1927d-cc5d-435b-b67b-26474a46b9d2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9ff1927d-cc5d-435b-b67b-26474a46b9d2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>However, rather than performing reductions by specifying <code class="docutils literal notranslate"><span class="pre">axis</span></code> (as in numpy), we can instead perform
 them using <em>dimension names</em>. This turns out to be a huge convenience, particularly in
@@ -3332,7 +3349,7 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
 -1.799 -1.799 -1.799 -1.799 -1.799 -1.8 -1.8 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0
 Coordinates:
   * lat      (lat) float32 88.0 86.0 84.0 82.0 80.0 ... -82.0 -84.0 -86.0 -88.0
-  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-76b1541f-13f6-49ed-baf5-3c75c507e64e' class='xr-array-in' type='checkbox' ><label for='section-76b1541f-13f6-49ed-baf5-3c75c507e64e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.799 -1.799 -1.799 -1.799 -1.799 -1.8 ... 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[-1.7994001, -1.7994308, -1.799454 , ..., -1.7995095, -1.7994332,
+  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f11bc9fb-4989-4d26-b2ab-89f17c5f7ddf' class='xr-array-in' type='checkbox' ><label for='section-f11bc9fb-4989-4d26-b2ab-89f17c5f7ddf' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.799 -1.799 -1.799 -1.799 -1.799 -1.8 ... 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[-1.7994001, -1.7994308, -1.799454 , ..., -1.7995095, -1.7994332,
         -1.7993788],
        [-1.7994279, -1.7993731, -1.7993406, ..., -1.7998322, -1.7995983,
         -1.7995111],
@@ -3344,14 +3361,14 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
        [ 0.       ,  0.       ,  0.       , ...,  0.       ,  0.       ,
          0.       ],
        [ 0.       ,  0.       ,  0.       , ...,  0.       ,  0.       ,
-         0.       ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b3506ff2-d436-42da-bc23-2adfbf5ad37b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3506ff2-d436-42da-bc23-2adfbf5ad37b' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-97577e89-f658-4749-9e73-ddf4eaf52797' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97577e89-f658-4749-9e73-ddf4eaf52797' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3647850e-462a-41ab-bd3e-262ad6f99ee7' class='xr-var-data-in' type='checkbox'><label for='data-3647850e-462a-41ab-bd3e-262ad6f99ee7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+         0.       ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-915daf6b-8c78-4d27-b63e-751c0c71a391' class='xr-section-summary-in' type='checkbox'  checked><label for='section-915daf6b-8c78-4d27-b63e-751c0c71a391' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-b9194924-ba76-412c-b720-5f286e4341e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9194924-ba76-412c-b720-5f286e4341e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b091d40-94a4-4ddc-9e5e-c3650797de3e' class='xr-var-data-in' type='checkbox'><label for='data-6b091d40-94a4-4ddc-9e5e-c3650797de3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-df2418ab-9f66-4e62-a955-72db8278159b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df2418ab-9f66-4e62-a955-72db8278159b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-107426b7-7a15-4a5a-a3c4-c10817b236cf' class='xr-var-data-in' type='checkbox'><label for='data-107426b7-7a15-4a5a-a3c4-c10817b236cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-9ae9e876-5ddd-4feb-bba6-b9ce9a81cbf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ae9e876-5ddd-4feb-bba6-b9ce9a81cbf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a31d0d51-ac3c-4ca9-95b4-b1303cd51735' class='xr-var-data-in' type='checkbox'><label for='data-a31d0d51-ac3c-4ca9-95b4-b1303cd51735' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -3366,7 +3383,7 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-410d857a-e2de-4db1-9a3e-802dd73e7b74' class='xr-section-summary-in' type='checkbox'  ><label for='section-410d857a-e2de-4db1-9a3e-802dd73e7b74' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1b1df849-6e67-4b9a-8af6-de42e0771e75' class='xr-index-data-in' type='checkbox'/><label for='index-1b1df849-6e67-4b9a-8af6-de42e0771e75' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5239527f-c99d-457d-9b8a-5f39845e8fa1' class='xr-section-summary-in' type='checkbox'  ><label for='section-5239527f-c99d-457d-9b8a-5f39845e8fa1' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0781fe9f-1597-46f5-a3b6-78bb67545a5f' class='xr-index-data-in' type='checkbox'/><label for='index-0781fe9f-1597-46f5-a3b6-78bb67545a5f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -3375,10 +3392,10 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d056ba54-c3f3-4132-95a8-2f2e9341acf4' class='xr-index-data-in' type='checkbox'/><label for='index-d056ba54-c3f3-4132-95a8-2f2e9341acf4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6cc0c75d-5158-48b8-8d82-316def793323' class='xr-index-data-in' type='checkbox'/><label for='index-6cc0c75d-5158-48b8-8d82-316def793323' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5600b19-6511-46c5-a587-736926a16952' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f5600b19-6511-46c5-a587-736926a16952' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c987486f-ab45-4ffa-81de-baf365df498d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c987486f-ab45-4ffa-81de-baf365df498d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>You can reduce over multiple dimensions</p>
 <div class="cell docutils container">
@@ -3754,7 +3771,7 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (lon: 180)&gt;
 7.692 7.824 8.239 8.131 7.586 7.546 ... 9.776 9.419 8.303 7.818 7.842 7.641
 Coordinates:
-  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-af48cd90-3960-4638-a33b-d873d52624fb' class='xr-array-in' type='checkbox' ><label for='section-af48cd90-3960-4638-a33b-d873d52624fb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.692 7.824 8.239 8.131 7.586 7.546 ... 9.419 8.303 7.818 7.842 7.641</span></div><div class='xr-array-data'><pre>array([ 7.6921988,  7.8241715,  8.239344 ,  8.13105  ,  7.586146 ,
+  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0e68a09e-ff9b-4409-8925-9b938d4f0006' class='xr-array-in' type='checkbox' ><label for='section-0e68a09e-ff9b-4409-8925-9b938d4f0006' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.692 7.824 8.239 8.131 7.586 7.546 ... 9.419 8.303 7.818 7.842 7.641</span></div><div class='xr-array-data'><pre>array([ 7.6921988,  7.8241715,  8.239344 ,  8.13105  ,  7.586146 ,
         7.546443 ,  6.31145  ,  4.922187 ,  3.3718483,  3.4496236,
         3.0655832,  2.435754 ,  2.4046247,  2.5200818,  2.361375 ,
         2.8992712,  3.1684847,  3.6543767,  5.2145586,  5.056581 ,
@@ -3790,7 +3807,7 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
        12.892644 , 12.865992 , 12.863045 , 12.799351 , 12.73527  ,
        12.670899 , 12.483194 , 12.169445 , 10.60605  ,  9.776415 ,
         9.419313 ,  8.303341 ,  7.8184376,  7.8421617,  7.6413836],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-8c827fca-7f30-4670-ba08-1e476ab004a3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8c827fca-7f30-4670-ba08-1e476ab004a3' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-d9414066-1ead-4294-8b04-cee20801e8cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9414066-1ead-4294-8b04-cee20801e8cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72ed11ee-eb7f-4ae8-8f5b-4fd1e323ec73' class='xr-var-data-in' type='checkbox'><label for='data-72ed11ee-eb7f-4ae8-8f5b-4fd1e323ec73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-2fb6e52a-1117-4c58-909f-fc81fee440bf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2fb6e52a-1117-4c58-909f-fc81fee440bf' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-eca1ebad-8492-4762-b4ea-a614cd42f932' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eca1ebad-8492-4762-b4ea-a614cd42f932' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d24ec2d5-9d14-4176-81fb-29202b64ad8b' class='xr-var-data-in' type='checkbox'><label for='data-d24ec2d5-9d14-4176-81fb-29202b64ad8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -3805,10 +3822,10 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6181076c-d209-4e35-b5ef-2001f37f8790' class='xr-section-summary-in' type='checkbox'  ><label for='section-6181076c-d209-4e35-b5ef-2001f37f8790' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a66fc910-6dfa-4c03-b6d9-cb8ae0e54ea1' class='xr-index-data-in' type='checkbox'/><label for='index-a66fc910-6dfa-4c03-b6d9-cb8ae0e54ea1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aa56a25a-5947-4165-bcb1-3a5fad5a9c30' class='xr-section-summary-in' type='checkbox'  ><label for='section-aa56a25a-5947-4165-bcb1-3a5fad5a9c30' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-17a16f28-ea3a-490a-afcf-74e2a38924d1' class='xr-index-data-in' type='checkbox'/><label for='index-17a16f28-ea3a-490a-afcf-74e2a38924d1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c3e4016-0f83-4cc7-b93a-e8311d0d4794' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3c3e4016-0f83-4cc7-b93a-e8311d0d4794' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dcf890e0-502c-4db9-9e38-1b96195ddb49' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dcf890e0-502c-4db9-9e38-1b96195ddb49' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>If no dimension is specified, the reduction is applied across all dimensions.</p>
 <div class="cell docutils container">
@@ -4182,7 +4199,7 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
   fill: currentColor;
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; ()&gt;
-9.473</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-726eee76-418e-46de-86e0-d1f83bc276d7' class='xr-array-in' type='checkbox' ><label for='section-726eee76-418e-46de-86e0-d1f83bc276d7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>9.473</span></div><div class='xr-array-data'><pre>array(9.472597, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-83d087ce-3ada-4710-bbc9-61dbf2dda9de' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-83d087ce-3ada-4710-bbc9-61dbf2dda9de' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5ea06fab-eb42-48c5-a1b3-d92a8f24deae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5ea06fab-eb42-48c5-a1b3-d92a8f24deae' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b80e8ad8-b858-444b-93ae-fb8e3035d630' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b80e8ad8-b858-444b-93ae-fb8e3035d630' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+9.473</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-391c2a0d-2bd8-48fe-9d48-67fbb24f2c36' class='xr-array-in' type='checkbox' ><label for='section-391c2a0d-2bd8-48fe-9d48-67fbb24f2c36' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>9.473</span></div><div class='xr-array-data'><pre>array(9.472597, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-49c8aed7-582f-442f-b8fb-3dbff88682bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-49c8aed7-582f-442f-b8fb-3dbff88682bf' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-608ea8f6-d63d-4328-8f49-38029942ad57' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-608ea8f6-d63d-4328-8f49-38029942ad57' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-79fc7ace-86e7-484b-bb84-05be98850af3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-79fc7ace-86e7-484b-bb84-05be98850af3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>All of the standard numpy reductions (e.g. <code class="docutils literal notranslate"><span class="pre">min</span></code>, <code class="docutils literal notranslate"><span class="pre">max</span></code>, <code class="docutils literal notranslate"><span class="pre">sum</span></code>, <code class="docutils literal notranslate"><span class="pre">std</span></code>, etc.) are
 available on both <a class="reference external" href="https://docs.xarray.dev/en/stable/api.html#aggregation">Datasets</a> and <a class="reference external" href="https://docs.xarray.dev/en/stable/api.html#id6">DataArrays</a>.</p>
@@ -4231,11 +4248,10 @@ <h2>Reductions<a class="headerlink" href="#reductions" title="Permalink to this
 
               
               
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+++ b/fundamentals/03.2_groupby_with_xarray.html
@@ -3,7 +3,7 @@
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@@ -527,10 +544,10 @@ <h2> Contents </h2>
               
                 
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-                <article class="bd-article" role="main">
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   <section class="tex2jax_ignore mathjax_ignore" id="grouped-computations">
-<h1>Grouped Computations<a class="headerlink" href="#grouped-computations" title="Permalink to this headline">#</a></h1>
+<h1>Grouped Computations<a class="headerlink" href="#grouped-computations" title="Permalink to this heading">#</a></h1>
 <p>In this lesson, we discuss how to do scientific computations with defined “groups” of data
 within our xarray objects. Our learning goals are as follows:</p>
 <ul class="simple">
@@ -558,7 +575,7 @@ <h1>Grouped Computations<a class="headerlink" href="#grouped-computations" title
 </div>
 </div>
 <section id="example-dataset">
-<h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalink to this headline">#</a></h2>
+<h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalink to this heading">#</a></h2>
 <p>First we load a dataset. We will use the
 <a class="reference external" href="https://www.ncei.noaa.gov/products/extended-reconstructed-sst">NOAA Extended Reconstructed Sea Surface Temperature (ERSST) v5</a>
 product, a widely used and trusted gridded compilation of of historical data
@@ -944,14 +961,14 @@ <h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalin
 Data variables:
     time_bnds  (time, nbnds) float64 9.969e+36 9.969e+36 ... 9.969e+36 9.969e+36
     sst        (time, lat, lon) float32 -1.8 -1.8 -1.8 -1.8 ... nan nan nan nan
-Attributes: (37)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f7c8a2cf-378e-4884-962e-43acbb0b65f6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f7c8a2cf-378e-4884-962e-43acbb0b65f6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3f96e394-3568-4bc1-8d46-bb00e92360c3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3f96e394-3568-4bc1-8d46-bb00e92360c3' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-7acfc5c3-6fff-460d-bcb4-249810c45d11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7acfc5c3-6fff-460d-bcb4-249810c45d11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a810715-fac8-4e2f-97ad-afe43e68f700' class='xr-var-data-in' type='checkbox'><label for='data-2a810715-fac8-4e2f-97ad-afe43e68f700' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+Attributes: (37)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0f710355-63c6-4c7e-9255-ea9bf8a0453c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0f710355-63c6-4c7e-9255-ea9bf8a0453c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-458c76a7-5f71-4033-ac38-936abdc09e55' class='xr-section-summary-in' type='checkbox'  checked><label for='section-458c76a7-5f71-4033-ac38-936abdc09e55' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-312b8eeb-d9fa-4b3f-ad4a-d8881d8720d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-312b8eeb-d9fa-4b3f-ad4a-d8881d8720d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdb87441-c3bb-4365-aa61-18c221f0c863' class='xr-var-data-in' type='checkbox'><label for='data-fdb87441-c3bb-4365-aa61-18c221f0c863' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-e9f65590-9c88-4594-9ca0-7dec97efdc91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9f65590-9c88-4594-9ca0-7dec97efdc91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-205ddce2-95c7-4253-854a-c1f79bc844ec' class='xr-var-data-in' type='checkbox'><label for='data-205ddce2-95c7-4253-854a-c1f79bc844ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-36a33f7f-1641-4299-964e-4d304eeb75f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36a33f7f-1641-4299-964e-4d304eeb75f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c523c68-6fc0-479a-9ea1-a439c1e4a725' class='xr-var-data-in' type='checkbox'><label for='data-8c523c68-6fc0-479a-9ea1-a439c1e4a725' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -966,16 +983,16 @@ <h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalin
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-9d601629-5e49-47fe-862a-2a7ae80687d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d601629-5e49-47fe-862a-2a7ae80687d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c26f109d-701f-4e75-9434-dd40332173a3' class='xr-var-data-in' type='checkbox'><label for='data-c26f109d-701f-4e75-9434-dd40332173a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-08d7511d-5f89-4604-af33-b53e4adbc37f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08d7511d-5f89-4604-af33-b53e4adbc37f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8609643f-546b-4b86-aeae-c68394f1a8f6' class='xr-var-data-in' type='checkbox'><label for='data-8609643f-546b-4b86-aeae-c68394f1a8f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dc7ef9e9-c1d3-49ea-aea3-a60065a985b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dc7ef9e9-c1d3-49ea-aea3-a60065a985b1' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-171719bc-c89f-4d4a-8f55-581746366f1b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-171719bc-c89f-4d4a-8f55-581746366f1b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-436c144c-7a67-4d10-b6de-e7b1521cca2f' class='xr-var-data-in' type='checkbox'><label for='data-436c144c-7a67-4d10-b6de-e7b1521cca2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6221ba51-5739-4700-bd94-023f0f94bf39' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6221ba51-5739-4700-bd94-023f0f94bf39' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-79db2933-e04b-450b-ae19-1b15b185533c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79db2933-e04b-450b-ae19-1b15b185533c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9adde80c-878b-4243-ae27-5656a192d1c0' class='xr-var-data-in' type='checkbox'><label for='data-9adde80c-878b-4243-ae27-5656a192d1c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        ...,
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
-       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-32e4a461-e3ec-4ba2-a385-99b04df61c32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32e4a461-e3ec-4ba2-a385-99b04df61c32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-268d11a4-30d1-4fcc-be86-6e77b4559743' class='xr-var-data-in' type='checkbox'><label for='data-268d11a4-30d1-4fcc-be86-6e77b4559743' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
+       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-cab6eb1e-58e5-44cd-9629-e8d3a9e923f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cab6eb1e-58e5-44cd-9629-e8d3a9e923f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74284151-41b1-45ee-bc28-ad505eb086f5' class='xr-var-data-in' type='checkbox'><label for='data-74284151-41b1-45ee-bc28-ad505eb086f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         ...,
@@ -1015,7 +1032,7 @@ <h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalin
         ...,
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
-        [ nan,  nan,  nan, ...,  nan,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-97f5bbca-b5d9-4fb7-a4b4-23041c7be806' class='xr-section-summary-in' type='checkbox'  ><label for='section-97f5bbca-b5d9-4fb7-a4b4-23041c7be806' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c4b91f28-4952-403e-b4d4-190945f10448' class='xr-index-data-in' type='checkbox'/><label for='index-c4b91f28-4952-403e-b4d4-190945f10448' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+        [ nan,  nan,  nan, ...,  nan,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75b83e15-8b7a-40df-b67b-ff1ef201c8b9' class='xr-section-summary-in' type='checkbox'  ><label for='section-75b83e15-8b7a-40df-b67b-ff1ef201c8b9' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e9581199-bfb8-44c5-bada-4cf20d015494' class='xr-index-data-in' type='checkbox'/><label for='index-e9581199-bfb8-44c5-bada-4cf20d015494' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1024,21 +1041,21 @@ <h2>Example Dataset<a class="headerlink" href="#example-dataset" title="Permalin
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f9c1968a-4892-4dff-97a9-a849e66587db' class='xr-index-data-in' type='checkbox'/><label for='index-f9c1968a-4892-4dff-97a9-a849e66587db' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-67741356-5e04-461f-b6a0-f1ef5b9587f3' class='xr-index-data-in' type='checkbox'/><label for='index-67741356-5e04-461f-b6a0-f1ef5b9587f3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e307c369-3d85-471d-bf05-417ae8f0e8a3' class='xr-index-data-in' type='checkbox'/><label for='index-e307c369-3d85-471d-bf05-417ae8f0e8a3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-64681ba7-044f-4ea5-b28c-db29dba0110c' class='xr-index-data-in' type='checkbox'/><label for='index-64681ba7-044f-4ea5-b28c-db29dba0110c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d2d7cfe9-cda1-45c9-8212-6d0534295507' class='xr-section-summary-in' type='checkbox'  ><label for='section-d2d7cfe9-cda1-45c9-8212-6d0534295507' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-544f403d-0115-45c9-954c-0d3f9172c60e' class='xr-section-summary-in' type='checkbox'  ><label for='section-544f403d-0115-45c9-954c-0d3f9172c60e' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="groupby">
-<h2>Groupby<a class="headerlink" href="#groupby" title="Permalink to this headline">#</a></h2>
+<h2>Groupby<a class="headerlink" href="#groupby" title="Permalink to this heading">#</a></h2>
 <p>Xarray copies Pandas’ very useful groupby functionality, enabling the “split /
 apply / combine” workflow on xarray DataArrays and Datasets.</p>
 <p>Let’s examine a timeseries of SST at
@@ -1050,7 +1067,7 @@ <h2>Groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/2f77078195e10a587e9d487fc65ceb82e0badc3d3fa3c6dcd1279726dd541ccd.png" src="../_images/2f77078195e10a587e9d487fc65ceb82e0badc3d3fa3c6dcd1279726dd541ccd.png" />
+<img alt="../_images/ae5a4cb98ba1fb183a0815a8632c50a2eb5892f44090f9d33890f9fb439bcc9f.png" src="../_images/ae5a4cb98ba1fb183a0815a8632c50a2eb5892f44090f9d33890f9fb439bcc9f.png" />
 </div>
 </div>
 <p>As we can see from the plot, the timeseries at any one point is totally
@@ -1433,20 +1450,20 @@ <h2>Groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
 1970-01-01 1970-02-01 1970-03-01 1970-04-01 ... 2021-10-01 2021-11-01 2021-12-01
 Coordinates:
   * time     (time) datetime64[ns] 1970-01-01 1970-02-01 ... 2021-12-01
-Attributes: (7)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-84b9f9d5-cc6d-4cf2-9bdd-84a043cbddaa' class='xr-array-in' type='checkbox' ><label for='section-84b9f9d5-cc6d-4cf2-9bdd-84a043cbddaa' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1970-01-01 1970-02-01 1970-03-01 ... 2021-10-01 2021-11-01 2021-12-01</span></div><div class='xr-array-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+Attributes: (7)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b010398b-d28a-4237-a244-374a3168e876' class='xr-array-in' type='checkbox' ><label for='section-b010398b-d28a-4237-a244-374a3168e876' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1970-01-01 1970-02-01 1970-03-01 ... 2021-10-01 2021-11-01 2021-12-01</span></div><div class='xr-array-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-adba09d0-a542-4a4d-af99-2fe98aca5f46' class='xr-section-summary-in' type='checkbox'  checked><label for='section-adba09d0-a542-4a4d-af99-2fe98aca5f46' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-dbd8064f-3de0-4bf2-baa2-64483fcf489f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbd8064f-3de0-4bf2-baa2-64483fcf489f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-debfaf27-a00c-4296-898a-74453dc35e48' class='xr-var-data-in' type='checkbox'><label for='data-debfaf27-a00c-4296-898a-74453dc35e48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-1eabf3c1-3e99-4155-b7d5-2f3006794d10' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1eabf3c1-3e99-4155-b7d5-2f3006794d10' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-72d2710b-cf29-403e-b1d4-2b30c40f4952' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72d2710b-cf29-403e-b1d4-2b30c40f4952' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06c5551f-dc2d-4f52-849e-985203aa9886' class='xr-var-data-in' type='checkbox'><label for='data-06c5551f-dc2d-4f52-849e-985203aa9886' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-689d32a2-f112-41a5-ab87-52e72dc26c03' class='xr-section-summary-in' type='checkbox'  ><label for='section-689d32a2-f112-41a5-ab87-52e72dc26c03' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b6964946-418d-419e-8dc6-c7f33dde899a' class='xr-index-data-in' type='checkbox'/><label for='index-b6964946-418d-419e-8dc6-c7f33dde899a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c135f2ae-0e33-4d8c-8f8d-59abb1cd3cd6' class='xr-section-summary-in' type='checkbox'  ><label for='section-c135f2ae-0e33-4d8c-8f8d-59abb1cd3cd6' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2abddd5c-23a4-491f-87b5-a59cef8e49f9' class='xr-index-data-in' type='checkbox'/><label for='index-2abddd5c-23a4-491f-87b5-a59cef8e49f9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f3235535-9fc4-4581-b984-f2cf5d7fa15c' class='xr-section-summary-in' type='checkbox'  ><label for='section-f3235535-9fc4-4581-b984-f2cf5d7fa15c' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-120afca5-ed82-44bf-a8ec-4f5c3b0a7d95' class='xr-section-summary-in' type='checkbox'  ><label for='section-120afca5-ed82-44bf-a8ec-4f5c3b0a7d95' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>The syntax of Xarray’s groupby is almost identical to Pandas.</p>
 <div class="cell tag_output_scroll docutils container">
@@ -1457,7 +1474,7 @@ <h2>Groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
 </div>
 </div>
 <section id="identifying-groups">
-<h3>Identifying groups<a class="headerlink" href="#identifying-groups" title="Permalink to this headline">#</a></h3>
+<h3>Identifying groups<a class="headerlink" href="#identifying-groups" title="Permalink to this heading">#</a></h3>
 <p>The most important argument is <code class="docutils literal notranslate"><span class="pre">group</span></code>: this defines the unique values or labels we will
 us to “split” the data for grouped analysis. We can pass either a DataArray or a
 name of a variable in the dataset. Let’s first use a DataArray.</p>
@@ -1472,7 +1489,7 @@ <h3>Identifying groups<a class="headerlink" href="#identifying-groups" title="Pe
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.core.accessor_dt.DatetimeAccessor at 0x7fa06ca9bf50&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.core.accessor_dt.DatetimeAccessor at 0x7f55558c7cd0&gt;
 </pre></div>
 </div>
 </div>
@@ -1851,17 +1868,17 @@ <h3>Identifying groups<a class="headerlink" href="#identifying-groups" title="Pe
 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 ... 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
 Coordinates:
   * time     (time) datetime64[ns] 1970-01-01 1970-02-01 ... 2021-12-01
-Attributes: (7)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'month'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-31f5ea2e-0de1-459e-b1dd-f2d13f26bc89' class='xr-array-in' type='checkbox' ><label for='section-31f5ea2e-0de1-459e-b1dd-f2d13f26bc89' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 ... 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([ 1,  2,  3, ..., 10, 11, 12])</pre></div></div></li><li class='xr-section-item'><input id='section-79ba19af-79e6-4456-b896-d3e38c76d08a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-79ba19af-79e6-4456-b896-d3e38c76d08a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-2ae4fbfa-fc84-429e-8536-9fe76a24d77e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ae4fbfa-fc84-429e-8536-9fe76a24d77e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb79efad-716b-475f-bba1-9838596a5e1a' class='xr-var-data-in' type='checkbox'><label for='data-fb79efad-716b-475f-bba1-9838596a5e1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+Attributes: (7)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'month'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1c0ac1b6-fb29-4779-94df-85e610a547ff' class='xr-array-in' type='checkbox' ><label for='section-1c0ac1b6-fb29-4779-94df-85e610a547ff' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 ... 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([ 1,  2,  3, ..., 10, 11, 12])</pre></div></div></li><li class='xr-section-item'><input id='section-a57a3f46-83ca-484d-a06a-c9aef91bac39' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a57a3f46-83ca-484d-a06a-c9aef91bac39' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-5181dabb-c7da-4bb3-920b-21be8a3644f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5181dabb-c7da-4bb3-920b-21be8a3644f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5b2e401-43fb-4a56-9908-0128096c90fe' class='xr-var-data-in' type='checkbox'><label for='data-d5b2e401-43fb-4a56-9908-0128096c90fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa0d1a98-b722-4beb-8707-3101c81bd69f' class='xr-section-summary-in' type='checkbox'  ><label for='section-fa0d1a98-b722-4beb-8707-3101c81bd69f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b5016416-05bc-48f4-84b5-8ee52bb5fb0c' class='xr-index-data-in' type='checkbox'/><label for='index-b5016416-05bc-48f4-84b5-8ee52bb5fb0c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fd7d687b-3061-4dd5-9d40-3708c8635080' class='xr-section-summary-in' type='checkbox'  ><label for='section-fd7d687b-3061-4dd5-9d40-3708c8635080' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-55fbc3b2-4d16-4df1-941e-a92db28b0604' class='xr-index-data-in' type='checkbox'/><label for='index-55fbc3b2-4d16-4df1-941e-a92db28b0604' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4e432e5a-f7c3-45b6-8506-602232131b7a' class='xr-section-summary-in' type='checkbox'  ><label for='section-4e432e5a-f7c3-45b6-8506-602232131b7a' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-90528572-5322-4699-9615-356d9a829895' class='xr-section-summary-in' type='checkbox'  ><label for='section-90528572-5322-4699-9615-356d9a829895' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2237,21 +2254,21 @@ <h3>Identifying groups<a class="headerlink" href="#identifying-groups" title="Pe
 1970 1970 1970 1970 1970 1970 1970 1970 ... 2021 2021 2021 2021 2021 2021 2021
 Coordinates:
   * time     (time) datetime64[ns] 1970-01-01 1970-02-01 ... 2021-12-01
-Attributes: (7)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'year'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-81883745-ab48-4729-8855-ff8eea84c863' class='xr-array-in' type='checkbox' ><label for='section-81883745-ab48-4729-8855-ff8eea84c863' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1970 1970 1970 1970 1970 1970 1970 ... 2021 2021 2021 2021 2021 2021</span></div><div class='xr-array-data'><pre>array([1970, 1970, 1970, ..., 2021, 2021, 2021])</pre></div></div></li><li class='xr-section-item'><input id='section-551710f9-bedd-48ea-baa3-be45944e28f3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-551710f9-bedd-48ea-baa3-be45944e28f3' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-b18512c9-49cd-4687-9f6f-870dfb9b1141' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b18512c9-49cd-4687-9f6f-870dfb9b1141' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f418368d-b80a-4c62-b0a9-ad034b633aa0' class='xr-var-data-in' type='checkbox'><label for='data-f418368d-b80a-4c62-b0a9-ad034b633aa0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+Attributes: (7)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'year'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-37497774-6649-4b0f-884d-a251ce135049' class='xr-array-in' type='checkbox' ><label for='section-37497774-6649-4b0f-884d-a251ce135049' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1970 1970 1970 1970 1970 1970 1970 ... 2021 2021 2021 2021 2021 2021</span></div><div class='xr-array-data'><pre>array([1970, 1970, 1970, ..., 2021, 2021, 2021])</pre></div></div></li><li class='xr-section-item'><input id='section-5cdf74df-9649-4673-9faa-3497f5dcbdc5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5cdf74df-9649-4673-9faa-3497f5dcbdc5' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-54fb5a5b-0a17-45d8-99bd-bcac3a87c953' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54fb5a5b-0a17-45d8-99bd-bcac3a87c953' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afa7f223-02b3-48b1-aabf-01fa58e2eb54' class='xr-var-data-in' type='checkbox'><label for='data-afa7f223-02b3-48b1-aabf-01fa58e2eb54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88e35eb7-8bcc-438b-88a3-4b4d0d1a8c9f' class='xr-section-summary-in' type='checkbox'  ><label for='section-88e35eb7-8bcc-438b-88a3-4b4d0d1a8c9f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-12da2141-e18a-4409-af67-4e40cce389d1' class='xr-index-data-in' type='checkbox'/><label for='index-12da2141-e18a-4409-af67-4e40cce389d1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7bf8385b-8497-4678-8660-04477b59ae79' class='xr-section-summary-in' type='checkbox'  ><label for='section-7bf8385b-8497-4678-8660-04477b59ae79' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8ef6cbc7-6bc5-4108-89bb-42b431274588' class='xr-index-data-in' type='checkbox'/><label for='index-8ef6cbc7-6bc5-4108-89bb-42b431274588' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9da4e463-9430-40a8-9d9f-bca84b6c1539' class='xr-section-summary-in' type='checkbox'  ><label for='section-9da4e463-9430-40a8-9d9f-bca84b6c1539' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-127e9f47-a3bb-4bcb-8448-b1fb4bfef4f8' class='xr-section-summary-in' type='checkbox'  ><label for='section-127e9f47-a3bb-4bcb-8448-b1fb4bfef4f8' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="split-step">
-<h3>Split step<a class="headerlink" href="#split-step" title="Permalink to this headline">#</a></h3>
+<h3>Split step<a class="headerlink" href="#split-step" title="Permalink to this heading">#</a></h3>
 <p>We can use these arrays in a groupby operation:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2290,7 +2307,7 @@ <h3>Split step<a class="headerlink" href="#split-step" title="Permalink to this
 </div>
 </section>
 <section id="apply-combine">
-<h3>Apply &amp; Combine<a class="headerlink" href="#apply-combine" title="Permalink to this headline">#</a></h3>
+<h3>Apply &amp; Combine<a class="headerlink" href="#apply-combine" title="Permalink to this heading">#</a></h3>
 <p>Now that we have groups defined, it’s time to “apply” a calculation to the
 group. Like in Pandas, these calculations can either be:</p>
 <ul class="simple">
@@ -2300,7 +2317,7 @@ <h3>Apply &amp; Combine<a class="headerlink" href="#apply-combine" title="Permal
 <p>At then end of the apply step, xarray will automatically combine the aggregated
 / transformed groups back into a single object.</p>
 <section id="aggregations-or-reductions">
-<h4>Aggregations or Reductions<a class="headerlink" href="#aggregations-or-reductions" title="Permalink to this headline">#</a></h4>
+<h4>Aggregations or Reductions<a class="headerlink" href="#aggregations-or-reductions" title="Permalink to this heading">#</a></h4>
 <p>Most commonly, we want to perform a reduction operation like <code class="docutils literal notranslate"><span class="pre">sum</span></code> or <code class="docutils literal notranslate"><span class="pre">mean</span></code> on our groups. Xarray conveniently provides these reduction methods on Groupby objects for both <a class="reference external" href="https://docs.xarray.dev/en/stable/api.html#groupby-objects">DataArrays and Datasets</a>.</p>
 <p>Here we calculate the monthly mean.</p>
 <div class="cell docutils container">
@@ -2684,14 +2701,14 @@ <h4>Aggregations or Reductions<a class="headerlink" href="#aggregations-or-reduc
 Data variables:
     time_bnds  (month, nbnds) float64 9.969e+36 9.969e+36 ... 9.969e+36
     sst        (month, lat, lon) float32 -1.8 -1.8 -1.8 -1.8 ... nan nan nan nan
-Attributes: (37)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-12a45813-82af-4df7-98bb-c342fac9750c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-12a45813-82af-4df7-98bb-c342fac9750c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>month</span>: 12</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bcf1ca13-47d3-4443-a146-c2cb3417ee16' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bcf1ca13-47d3-4443-a146-c2cb3417ee16' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-2c5ad4c5-3048-4eea-a537-0a6fc70ab60a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c5ad4c5-3048-4eea-a537-0a6fc70ab60a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc720da4-fc95-4a31-88b6-0c1e030dc130' class='xr-var-data-in' type='checkbox'><label for='data-dc720da4-fc95-4a31-88b6-0c1e030dc130' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+Attributes: (37)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-909b67dd-4114-4733-bf4d-cb36da2d09f1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-909b67dd-4114-4733-bf4d-cb36da2d09f1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>month</span>: 12</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-abc98aa0-a2e9-4e6c-9f37-b6b834085398' class='xr-section-summary-in' type='checkbox'  checked><label for='section-abc98aa0-a2e9-4e6c-9f37-b6b834085398' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-d1fd048f-6fb9-4fd4-b11f-f301ae9d890c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1fd048f-6fb9-4fd4-b11f-f301ae9d890c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-945cbccd-d9e1-4d9b-8d18-745383c644e2' class='xr-var-data-in' type='checkbox'><label for='data-945cbccd-d9e1-4d9b-8d18-745383c644e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-bb9fa807-14cf-4d50-beb4-40a0509cc7ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb9fa807-14cf-4d50-beb4-40a0509cc7ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dddf7bc6-22cb-47bb-831f-e5fe2827c0fb' class='xr-var-data-in' type='checkbox'><label for='data-dddf7bc6-22cb-47bb-831f-e5fe2827c0fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-db5a6da4-6728-4fbc-b5f8-c8f1f198ea42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db5a6da4-6728-4fbc-b5f8-c8f1f198ea42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78e70c01-1ae0-400d-923f-eafcc42b66ed' class='xr-var-data-in' type='checkbox'><label for='data-78e70c01-1ae0-400d-923f-eafcc42b66ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -2706,7 +2723,7 @@ <h4>Aggregations or Reductions<a class="headerlink" href="#aggregations-or-reduc
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-9da615c6-57e0-4eb5-8fce-a9cb80b184e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9da615c6-57e0-4eb5-8fce-a9cb80b184e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f4664c7-fc6e-48c2-9b50-d6e17c036a04' class='xr-var-data-in' type='checkbox'><label for='data-7f4664c7-fc6e-48c2-9b50-d6e17c036a04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c6dc511-0beb-4aea-95f7-64396139c120' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9c6dc511-0beb-4aea-95f7-64396139c120' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(month, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-0a98a211-d93d-467f-8724-fbe6378fa516' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a98a211-d93d-467f-8724-fbe6378fa516' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e241a328-b2d4-432d-b690-25c833832327' class='xr-var-data-in' type='checkbox'><label for='data-e241a328-b2d4-432d-b690-25c833832327' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-dad1499e-d851-47f1-80c7-131006ddaad2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dad1499e-d851-47f1-80c7-131006ddaad2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbd8b1db-688b-4005-bbe1-46afdebe37e5' class='xr-var-data-in' type='checkbox'><label for='data-cbd8b1db-688b-4005-bbe1-46afdebe37e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-76301d3b-4e79-4850-ab3d-8b8b57c1eb31' class='xr-section-summary-in' type='checkbox'  checked><label for='section-76301d3b-4e79-4850-ab3d-8b8b57c1eb31' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(month, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-009b3e14-e227-44f8-b5fb-c42cfab5a4f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-009b3e14-e227-44f8-b5fb-c42cfab5a4f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9137d63f-8f4b-43a5-bb1e-55b8ae5c4a54' class='xr-var-data-in' type='checkbox'><label for='data-9137d63f-8f4b-43a5-bb1e-55b8ae5c4a54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
@@ -2717,7 +2734,7 @@ <h4>Aggregations or Reductions<a class="headerlink" href="#aggregations-or-reduc
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
-       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(month, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-1fb98571-0ca2-4645-9ac0-ff60eda0be3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fb98571-0ca2-4645-9ac0-ff60eda0be3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3107589-e307-40b1-ba2b-ffb811c3df29' class='xr-var-data-in' type='checkbox'><label for='data-f3107589-e307-40b1-ba2b-ffb811c3df29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8000005, -1.8000005, -1.8000005, ..., -1.8000005,
+       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(month, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-13a2ee65-5dad-47df-be18-57cec744190e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13a2ee65-5dad-47df-be18-57cec744190e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ac91f92-d6aa-4721-a1f9-1d075c01b2d7' class='xr-var-data-in' type='checkbox'><label for='data-5ac91f92-d6aa-4721-a1f9-1d075c01b2d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8000005, -1.8000005, -1.8000005, ..., -1.8000005,
          -1.8000005, -1.8000005],
         [-1.8000005, -1.8000005, -1.8000005, ..., -1.8000005,
          -1.8000005, -1.8000005],
@@ -2757,7 +2774,7 @@ <h4>Aggregations or Reductions<a class="headerlink" href="#aggregations-or-reduc
         [       nan,        nan,        nan, ...,        nan,
                 nan,        nan],
         [       nan,        nan,        nan, ...,        nan,
-                nan,        nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ab980be-1904-47ea-812d-3d3d65b3b73b' class='xr-section-summary-in' type='checkbox'  ><label for='section-4ab980be-1904-47ea-812d-3d3d65b3b73b' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a8bbe72a-ee5e-45e9-9283-8482cae81507' class='xr-index-data-in' type='checkbox'/><label for='index-a8bbe72a-ee5e-45e9-9283-8482cae81507' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+                nan,        nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-02e70788-68e4-4bcc-aae8-79cafc4674e0' class='xr-section-summary-in' type='checkbox'  ><label for='section-02e70788-68e4-4bcc-aae8-79cafc4674e0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-09c01d18-411f-46be-8f51-39a2c6e7b723' class='xr-index-data-in' type='checkbox'/><label for='index-09c01d18-411f-46be-8f51-39a2c6e7b723' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -2766,10 +2783,10 @@ <h4>Aggregations or Reductions<a class="headerlink" href="#aggregations-or-reduc
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-486a73fa-437e-4832-a0a1-9d36f7784cdd' class='xr-index-data-in' type='checkbox'/><label for='index-486a73fa-437e-4832-a0a1-9d36f7784cdd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d3a5845-b03d-4b0e-8a06-3a9afcc9005f' class='xr-index-data-in' type='checkbox'/><label for='index-9d3a5845-b03d-4b0e-8a06-3a9afcc9005f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1197dc31-f784-4fe8-a312-931a049e0fb1' class='xr-index-data-in' type='checkbox'/><label for='index-1197dc31-f784-4fe8-a312-931a049e0fb1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d5081ae-0d09-47c5-9830-a0efb9213d28' class='xr-section-summary-in' type='checkbox'  ><label for='section-3d5081ae-0d09-47c5-9830-a0efb9213d28' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9529bf99-1541-4b80-af01-7a3295a01134' class='xr-index-data-in' type='checkbox'/><label for='index-9529bf99-1541-4b80-af01-7a3295a01134' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db5f6599-2f32-4e14-a9dd-3b277f96edef' class='xr-section-summary-in' type='checkbox'  ><label for='section-db5f6599-2f32-4e14-a9dd-3b277f96edef' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>So we did what we wanted to do: calculate the climatology at every point in the
 dataset. Let’s look at the data a bit.</p>
@@ -2781,7 +2798,7 @@ <h4>Aggregations or Reductions<a class="headerlink" href="#aggregations-or-reduc
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/1893a80623a4509aec644174f672e2f56cc14c78d0f0db3341636cf45e6fba69.png" src="../_images/1893a80623a4509aec644174f672e2f56cc14c78d0f0db3341636cf45e6fba69.png" />
+<img alt="../_images/53c4762204ef7f46c0d172e5dce906659961a8503e23a485dc0cf2cacc1dcaeb.png" src="../_images/53c4762204ef7f46c0d172e5dce906659961a8503e23a485dc0cf2cacc1dcaeb.png" />
 </div>
 </div>
 <p><em>Zonal Mean Climatology</em></p>
@@ -2792,7 +2809,7 @@ <h4>Aggregations or Reductions<a class="headerlink" href="#aggregations-or-reduc
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/e8ee132930402631e57d46791de6349ee88b544e89b382c599e093b769dec97e.png" src="../_images/e8ee132930402631e57d46791de6349ee88b544e89b382c599e093b769dec97e.png" />
+<img alt="../_images/aa91ea0e600cb3267f2048a74ab939203ee96215ea3157e48de3c1ed5cab8e45.png" src="../_images/aa91ea0e600cb3267f2048a74ab939203ee96215ea3157e48de3c1ed5cab8e45.png" />
 </div>
 </div>
 <p><em>Difference between January and July Climatology</em></p>
@@ -2803,12 +2820,12 @@ <h4>Aggregations or Reductions<a class="headerlink" href="#aggregations-or-reduc
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/0c59f3468b20389dc92460aaddd93ff1634cef647c5353f95a6e7fa9b50bcdc4.png" src="../_images/0c59f3468b20389dc92460aaddd93ff1634cef647c5353f95a6e7fa9b50bcdc4.png" />
+<img alt="../_images/6f138d79145e088697c8d4ab75482a2fe59e4636a30b7afb2acde8c45262bcb3.png" src="../_images/6f138d79145e088697c8d4ab75482a2fe59e4636a30b7afb2acde8c45262bcb3.png" />
 </div>
 </div>
 </section>
 <section id="custom-aggregations">
-<h4>Custom Aggregations<a class="headerlink" href="#custom-aggregations" title="Permalink to this headline">#</a></h4>
+<h4>Custom Aggregations<a class="headerlink" href="#custom-aggregations" title="Permalink to this heading">#</a></h4>
 <p>The most fundamental way to apply a function and combine the results together to use the <code class="docutils literal notranslate"><span class="pre">.map</span></code> method.</p>
 <div class="cell tag_output_scroll docutils container">
 <div class="cell_input docutils container">
@@ -3203,14 +3220,14 @@ <h4>Custom Aggregations<a class="headerlink" href="#custom-aggregations" title="
 Dimensions without coordinates: nbnds
 Data variables:
     time_bnds  (month, nbnds) float64 9.969e+36 9.969e+36 ... 9.969e+36
-    sst        (month, lat, lon) float32 -1.8 -1.8 -1.8 -1.8 ... nan nan nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-07067dea-91c2-4a72-bb52-06443aaf2a4c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-07067dea-91c2-4a72-bb52-06443aaf2a4c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>month</span>: 12</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-757c7562-85d5-4a6b-9673-9e0f6dfa74dc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-757c7562-85d5-4a6b-9673-9e0f6dfa74dc' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-63228875-520f-4485-831f-6cb7cd73eeb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63228875-520f-4485-831f-6cb7cd73eeb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f994ec7c-e184-4e6b-ae80-7beadb682c1d' class='xr-var-data-in' type='checkbox'><label for='data-f994ec7c-e184-4e6b-ae80-7beadb682c1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    sst        (month, lat, lon) float32 -1.8 -1.8 -1.8 -1.8 ... nan nan nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ebc3c2d7-db5e-43be-b161-1ede0562152e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ebc3c2d7-db5e-43be-b161-1ede0562152e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>month</span>: 12</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-93a7dea5-85a3-466a-afe3-8424f579cca7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-93a7dea5-85a3-466a-afe3-8424f579cca7' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-0baf2fba-afae-475e-a533-e9e2c05f75d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0baf2fba-afae-475e-a533-e9e2c05f75d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb51bd75-6da8-4d20-be4a-7f54a58e7129' class='xr-var-data-in' type='checkbox'><label for='data-eb51bd75-6da8-4d20-be4a-7f54a58e7129' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-d027fecd-0b77-4c2b-9c81-bfee79e2bc76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d027fecd-0b77-4c2b-9c81-bfee79e2bc76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6319b384-0244-45d2-9bf3-7e438412d22c' class='xr-var-data-in' type='checkbox'><label for='data-6319b384-0244-45d2-9bf3-7e438412d22c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-300de43a-3701-4b0f-8686-044df7499b27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-300de43a-3701-4b0f-8686-044df7499b27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c60fc65a-2d49-4b7b-b7d9-b0fb85b547b3' class='xr-var-data-in' type='checkbox'><label for='data-c60fc65a-2d49-4b7b-b7d9-b0fb85b547b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -3225,7 +3242,7 @@ <h4>Custom Aggregations<a class="headerlink" href="#custom-aggregations" title="
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-e6eb54f2-b73a-4c55-a2c6-2669e9114188' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e6eb54f2-b73a-4c55-a2c6-2669e9114188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86e3f599-c40b-4755-bfa9-5ca7e2934b75' class='xr-var-data-in' type='checkbox'><label for='data-86e3f599-c40b-4755-bfa9-5ca7e2934b75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-83602361-ee41-4aed-a428-e608eda09641' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83602361-ee41-4aed-a428-e608eda09641' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(month, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-89111345-3189-43f4-9e5a-e88bf2f0c8d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-89111345-3189-43f4-9e5a-e88bf2f0c8d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ae48c6c-2b55-4178-97fd-3c93f55b34f2' class='xr-var-data-in' type='checkbox'><label for='data-7ae48c6c-2b55-4178-97fd-3c93f55b34f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-3977e986-730f-43ca-bbeb-98ab8728eba7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3977e986-730f-43ca-bbeb-98ab8728eba7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8edf9f77-f7f6-46d1-b75a-c7848f6876ab' class='xr-var-data-in' type='checkbox'><label for='data-8edf9f77-f7f6-46d1-b75a-c7848f6876ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-02322008-b9fa-4426-a373-b1d01e7fdbf1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-02322008-b9fa-4426-a373-b1d01e7fdbf1' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(month, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-6ee8d9bd-78e4-4259-89a1-f6ffe296a29c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ee8d9bd-78e4-4259-89a1-f6ffe296a29c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6ac56bb-a652-4ceb-8539-f159e93367ad' class='xr-var-data-in' type='checkbox'><label for='data-a6ac56bb-a652-4ceb-8539-f159e93367ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
@@ -3236,7 +3253,7 @@ <h4>Custom Aggregations<a class="headerlink" href="#custom-aggregations" title="
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
-       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(month, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-9f1c786b-8afe-483f-9208-0d35e1834014' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f1c786b-8afe-483f-9208-0d35e1834014' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbbc05a2-95ba-4eb3-a441-7fe39c12f3fe' class='xr-var-data-in' type='checkbox'><label for='data-bbbc05a2-95ba-4eb3-a441-7fe39c12f3fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[-1.8000005, -1.8000005, -1.8000005, ..., -1.8000005,
+       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(month, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-06e1018b-8b94-4aea-bb2b-89134ba1c5f4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-06e1018b-8b94-4aea-bb2b-89134ba1c5f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e2a330d-9bff-4120-a6fd-542dd8b7b387' class='xr-var-data-in' type='checkbox'><label for='data-5e2a330d-9bff-4120-a6fd-542dd8b7b387' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[-1.8000005, -1.8000005, -1.8000005, ..., -1.8000005,
          -1.8000005, -1.8000005],
         [-1.8000005, -1.8000005, -1.8000005, ..., -1.8000005,
          -1.8000005, -1.8000005],
@@ -3276,7 +3293,7 @@ <h4>Custom Aggregations<a class="headerlink" href="#custom-aggregations" title="
         [       nan,        nan,        nan, ...,        nan,
                 nan,        nan],
         [       nan,        nan,        nan, ...,        nan,
-                nan,        nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eac4f3ec-8b7a-4f29-897e-5695305af9da' class='xr-section-summary-in' type='checkbox'  ><label for='section-eac4f3ec-8b7a-4f29-897e-5695305af9da' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d2dcd523-3f4d-4dc5-afb5-1bbdb0105500' class='xr-index-data-in' type='checkbox'/><label for='index-d2dcd523-3f4d-4dc5-afb5-1bbdb0105500' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+                nan,        nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd933ba7-3a57-4f14-906a-c8f4a8cf8074' class='xr-section-summary-in' type='checkbox'  ><label for='section-bd933ba7-3a57-4f14-906a-c8f4a8cf8074' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eac6a6e3-7d55-4429-a9db-1eec7ad2d8fa' class='xr-index-data-in' type='checkbox'/><label for='index-eac6a6e3-7d55-4429-a9db-1eec7ad2d8fa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -3285,15 +3302,15 @@ <h4>Custom Aggregations<a class="headerlink" href="#custom-aggregations" title="
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-706de12e-08b7-495f-a353-f6d433215188' class='xr-index-data-in' type='checkbox'/><label for='index-706de12e-08b7-495f-a353-f6d433215188' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a088b607-3c94-4ce6-a2ee-f306a3f4c3ba' class='xr-index-data-in' type='checkbox'/><label for='index-a088b607-3c94-4ce6-a2ee-f306a3f4c3ba' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7dd4ca87-444b-4065-8015-43b08a07277e' class='xr-index-data-in' type='checkbox'/><label for='index-7dd4ca87-444b-4065-8015-43b08a07277e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c14892d8-a982-4722-9c3a-b2e7586ca25d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c14892d8-a982-4722-9c3a-b2e7586ca25d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2b0b3cf9-db01-4101-b4d0-a70d0e683ac7' class='xr-index-data-in' type='checkbox'/><label for='index-2b0b3cf9-db01-4101-b4d0-a70d0e683ac7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-10f2cff6-14ee-4f6e-a19b-b5b3421153fd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-10f2cff6-14ee-4f6e-a19b-b5b3421153fd' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>This is identical to <code class="docutils literal notranslate"><span class="pre">gb.mean()</span></code></p>
 </section>
 <section id="apply-by-iteration">
-<h4>Apply by iteration<a class="headerlink" href="#apply-by-iteration" title="Permalink to this headline">#</a></h4>
+<h4>Apply by iteration<a class="headerlink" href="#apply-by-iteration" title="Permalink to this heading">#</a></h4>
 <p>We can manually iterate over the group. The
 iterator returns the key (group name) and the value (the actual dataset
 corresponding to that group) for each group.</p>
@@ -3685,14 +3702,14 @@ <h4>Apply by iteration<a class="headerlink" href="#apply-by-iteration" title="Pe
 Data variables:
     time_bnds  (time, nbnds) float64 9.969e+36 9.969e+36 ... 9.969e+36 9.969e+36
     sst        (time, lat, lon) float32 -1.8 -1.8 -1.8 -1.8 ... nan nan nan nan
-Attributes: (37)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-37271669-191b-4d0e-bba4-2d351a25eb2c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-37271669-191b-4d0e-bba4-2d351a25eb2c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 52</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6512fead-ff4a-45be-887f-8d23dff51ca8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6512fead-ff4a-45be-887f-8d23dff51ca8' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-1fb5b131-6af8-4677-807e-6473758c8742' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fb5b131-6af8-4677-807e-6473758c8742' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4fac0de0-edee-406d-90ba-8e79120291e3' class='xr-var-data-in' type='checkbox'><label for='data-4fac0de0-edee-406d-90ba-8e79120291e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+Attributes: (37)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-27623f46-9800-408c-bcd9-e254de96c3ba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-27623f46-9800-408c-bcd9-e254de96c3ba' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 52</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-57c86e77-2d1d-4be8-abba-95aa8a899d79' class='xr-section-summary-in' type='checkbox'  checked><label for='section-57c86e77-2d1d-4be8-abba-95aa8a899d79' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-0bd6d455-6409-4e26-ad31-4376b6d9eb03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bd6d455-6409-4e26-ad31-4376b6d9eb03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0cc13af-e279-475f-ba46-01e8a66a669d' class='xr-var-data-in' type='checkbox'><label for='data-f0cc13af-e279-475f-ba46-01e8a66a669d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-53ad3c74-bd60-40e1-b41e-ccd1cdc02ea0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53ad3c74-bd60-40e1-b41e-ccd1cdc02ea0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe00db6a-6c67-4082-ac02-99b14e54191f' class='xr-var-data-in' type='checkbox'><label for='data-fe00db6a-6c67-4082-ac02-99b14e54191f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-d2841644-25cf-4ac8-988e-683cefe40fda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2841644-25cf-4ac8-988e-683cefe40fda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a84ab1e2-9832-452a-9910-b3e01c8a5b85' class='xr-var-data-in' type='checkbox'><label for='data-a84ab1e2-9832-452a-9910-b3e01c8a5b85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -3707,7 +3724,7 @@ <h4>Apply by iteration<a class="headerlink" href="#apply-by-iteration" title="Pe
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-01-01</div><input id='attrs-cc4aca21-1a69-4b30-ad81-954276a9a9e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc4aca21-1a69-4b30-ad81-954276a9a9e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db780677-e183-44c5-8101-f4718dbf7195' class='xr-var-data-in' type='checkbox'><label for='data-db780677-e183-44c5-8101-f4718dbf7195' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1971-01-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-01-01</div><input id='attrs-929c971b-053d-47f0-93a1-04d31977c0a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-929c971b-053d-47f0-93a1-04d31977c0a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ac7fa10-ceaa-4d69-97f2-571cac615d78' class='xr-var-data-in' type='checkbox'><label for='data-5ac7fa10-ceaa-4d69-97f2-571cac615d78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1971-01-01T00:00:00.000000000&#x27;,
        &#x27;1972-01-01T00:00:00.000000000&#x27;, &#x27;1973-01-01T00:00:00.000000000&#x27;,
        &#x27;1974-01-01T00:00:00.000000000&#x27;, &#x27;1975-01-01T00:00:00.000000000&#x27;,
        &#x27;1976-01-01T00:00:00.000000000&#x27;, &#x27;1977-01-01T00:00:00.000000000&#x27;,
@@ -3733,7 +3750,7 @@ <h4>Apply by iteration<a class="headerlink" href="#apply-by-iteration" title="Pe
        &#x27;2016-01-01T00:00:00.000000000&#x27;, &#x27;2017-01-01T00:00:00.000000000&#x27;,
        &#x27;2018-01-01T00:00:00.000000000&#x27;, &#x27;2019-01-01T00:00:00.000000000&#x27;,
        &#x27;2020-01-01T00:00:00.000000000&#x27;, &#x27;2021-01-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce1e542e-a1b3-4156-a3bc-bc58f48cc695' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ce1e542e-a1b3-4156-a3bc-bc58f48cc695' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-d01721b1-12e7-4a6b-b875-4d41247c75a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d01721b1-12e7-4a6b-b875-4d41247c75a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1da7826-4bb3-4656-8878-dcab80a23cb3' class='xr-var-data-in' type='checkbox'><label for='data-b1da7826-4bb3-4656-8878-dcab80a23cb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-367c42e6-8c3b-4861-8818-681b69a592c5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-367c42e6-8c3b-4861-8818-681b69a592c5' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-52b0a202-2f8b-4e7d-a70c-80cc55bca9e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52b0a202-2f8b-4e7d-a70c-80cc55bca9e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbe65e91-9a71-4f2c-93db-bea62d8fef7b' class='xr-var-data-in' type='checkbox'><label for='data-dbe65e91-9a71-4f2c-93db-bea62d8fef7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
@@ -3773,7 +3790,7 @@ <h4>Apply by iteration<a class="headerlink" href="#apply-by-iteration" title="Pe
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
-       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-e8373bff-411a-4f57-9dfc-a5407289b604' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8373bff-411a-4f57-9dfc-a5407289b604' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f8790da-90fb-4513-aae6-174e0399f7a1' class='xr-var-data-in' type='checkbox'><label for='data-5f8790da-90fb-4513-aae6-174e0399f7a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
+       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-c8717eca-e601-4141-a856-02d213bdd3fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8717eca-e601-4141-a856-02d213bdd3fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9762232c-07f8-436f-88ee-7c2b390b5108' class='xr-var-data-in' type='checkbox'><label for='data-9762232c-07f8-436f-88ee-7c2b390b5108' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         ...,
@@ -3813,7 +3830,7 @@ <h4>Apply by iteration<a class="headerlink" href="#apply-by-iteration" title="Pe
         ...,
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
-        [ nan,  nan,  nan, ...,  nan,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8a78472-7db8-42f3-9519-f6a3f4271b05' class='xr-section-summary-in' type='checkbox'  ><label for='section-b8a78472-7db8-42f3-9519-f6a3f4271b05' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dca1b2d5-33ad-4363-aa7d-6e5770f0c510' class='xr-index-data-in' type='checkbox'/><label for='index-dca1b2d5-33ad-4363-aa7d-6e5770f0c510' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+        [ nan,  nan,  nan, ...,  nan,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6bd8c00f-db44-41a6-8774-76991aea2cf3' class='xr-section-summary-in' type='checkbox'  ><label for='section-6bd8c00f-db44-41a6-8774-76991aea2cf3' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-43840902-bf9f-47ad-a853-b598c23b7608' class='xr-index-data-in' type='checkbox'/><label for='index-43840902-bf9f-47ad-a853-b598c23b7608' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -3822,10 +3839,10 @@ <h4>Apply by iteration<a class="headerlink" href="#apply-by-iteration" title="Pe
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d0523bf3-6365-4762-aaa5-ff468802e6d0' class='xr-index-data-in' type='checkbox'/><label for='index-d0523bf3-6365-4762-aaa5-ff468802e6d0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dcfb63f8-7ae0-477a-8d83-8b1c7fd3761a' class='xr-index-data-in' type='checkbox'/><label for='index-dcfb63f8-7ae0-477a-8d83-8b1c7fd3761a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-235a3449-46f8-44cc-afd1-e35fec939ff2' class='xr-index-data-in' type='checkbox'/><label for='index-235a3449-46f8-44cc-afd1-e35fec939ff2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1971-01-01&#x27;, &#x27;1972-01-01&#x27;, &#x27;1973-01-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-273a73a9-d185-4ec1-9a57-d72f14f80890' class='xr-index-data-in' type='checkbox'/><label for='index-273a73a9-d185-4ec1-9a57-d72f14f80890' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1971-01-01&#x27;, &#x27;1972-01-01&#x27;, &#x27;1973-01-01&#x27;,
                &#x27;1974-01-01&#x27;, &#x27;1975-01-01&#x27;, &#x27;1976-01-01&#x27;, &#x27;1977-01-01&#x27;,
                &#x27;1978-01-01&#x27;, &#x27;1979-01-01&#x27;, &#x27;1980-01-01&#x27;, &#x27;1981-01-01&#x27;,
                &#x27;1982-01-01&#x27;, &#x27;1983-01-01&#x27;, &#x27;1984-01-01&#x27;, &#x27;1985-01-01&#x27;,
@@ -3838,11 +3855,11 @@ <h4>Apply by iteration<a class="headerlink" href="#apply-by-iteration" title="Pe
                &#x27;2010-01-01&#x27;, &#x27;2011-01-01&#x27;, &#x27;2012-01-01&#x27;, &#x27;2013-01-01&#x27;,
                &#x27;2014-01-01&#x27;, &#x27;2015-01-01&#x27;, &#x27;2016-01-01&#x27;, &#x27;2017-01-01&#x27;,
                &#x27;2018-01-01&#x27;, &#x27;2019-01-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2021-01-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5cbd2fe0-4882-453f-a03e-a7cebf2b2227' class='xr-section-summary-in' type='checkbox'  ><label for='section-5cbd2fe0-4882-453f-a03e-a7cebf2b2227' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2d7da5cd-8f12-4222-bd03-a077190e0b67' class='xr-section-summary-in' type='checkbox'  ><label for='section-2d7da5cd-8f12-4222-bd03-a077190e0b67' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="transformations">
-<h4>Transformations<a class="headerlink" href="#transformations" title="Permalink to this headline">#</a></h4>
+<h4>Transformations<a class="headerlink" href="#transformations" title="Permalink to this heading">#</a></h4>
 <p>Now we want to <em>remove</em> this climatology from the dataset, to examine the
 residual, called the <em>anomaly</em>, which is the interesting part from a climate
 perspective. Removing the seasonal climatology is a perfect example of a
@@ -4232,14 +4249,14 @@ <h4>Transformations<a class="headerlink" href="#transformations" title="Permalin
 Dimensions without coordinates: nbnds
 Data variables:
     time_bnds  (time, nbnds) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
-    sst        (time, lat, lon) float32 5.96e-07 5.96e-07 5.96e-07 ... nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c94ae913-92e8-4c38-966c-39988b0f544c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c94ae913-92e8-4c38-966c-39988b0f544c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6d4c6b72-e52a-402d-869c-93e44bbaac71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6d4c6b72-e52a-402d-869c-93e44bbaac71' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-d756348e-90ad-4e9e-8588-5e2dd2c72c53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d756348e-90ad-4e9e-8588-5e2dd2c72c53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7db7b746-97ea-416c-a711-958eabcfd931' class='xr-var-data-in' type='checkbox'><label for='data-7db7b746-97ea-416c-a711-958eabcfd931' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    sst        (time, lat, lon) float32 5.96e-07 5.96e-07 5.96e-07 ... nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-918d0e4b-577d-488c-a5e1-bcc04beda572' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-918d0e4b-577d-488c-a5e1-bcc04beda572' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a407bcae-aa86-4322-b6cc-2591cf2699d0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a407bcae-aa86-4322-b6cc-2591cf2699d0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-86ce3ae4-bfdb-47f5-b891-80a7bfd1704f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86ce3ae4-bfdb-47f5-b891-80a7bfd1704f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-804690c8-d995-4892-a2e1-fc9dd9ef04c9' class='xr-var-data-in' type='checkbox'><label for='data-804690c8-d995-4892-a2e1-fc9dd9ef04c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-21324d38-5609-4dff-90ae-e0df0b168181' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21324d38-5609-4dff-90ae-e0df0b168181' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71af5084-49a2-4351-9621-f8b9c0817030' class='xr-var-data-in' type='checkbox'><label for='data-71af5084-49a2-4351-9621-f8b9c0817030' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-295eb75c-787e-40e9-98ef-a54b89137b77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-295eb75c-787e-40e9-98ef-a54b89137b77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-971f35be-d7f6-42c3-a71f-899116627819' class='xr-var-data-in' type='checkbox'><label for='data-971f35be-d7f6-42c3-a71f-899116627819' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -4254,16 +4271,16 @@ <h4>Transformations<a class="headerlink" href="#transformations" title="Permalin
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-4527db50-3b97-45d6-9aed-07966f402bb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4527db50-3b97-45d6-9aed-07966f402bb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbc3a71a-7b33-40cc-a852-919225f1e16b' class='xr-var-data-in' type='checkbox'><label for='data-cbc3a71a-7b33-40cc-a852-919225f1e16b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-585f9cdc-1cf2-4e2e-87d1-307a311d8d74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-585f9cdc-1cf2-4e2e-87d1-307a311d8d74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ae8eeed-88aa-4bc0-b98b-c96a52835d54' class='xr-var-data-in' type='checkbox'><label for='data-9ae8eeed-88aa-4bc0-b98b-c96a52835d54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53136ff9-1c3b-4209-875f-6993e7231bc8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-53136ff9-1c3b-4209-875f-6993e7231bc8' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-9f944e28-13d1-49d8-9e24-be6e7374ee46' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9f944e28-13d1-49d8-9e24-be6e7374ee46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8785226f-b332-488f-8104-1333a6beff46' class='xr-var-data-in' type='checkbox'><label for='data-8785226f-b332-488f-8104-1333a6beff46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0.],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1cba99ab-17a0-47a3-8ad8-13dbb968c1a1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1cba99ab-17a0-47a3-8ad8-13dbb968c1a1' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-cf07a603-ca74-4fe0-ae56-65adea6a2463' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cf07a603-ca74-4fe0-ae56-65adea6a2463' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30df1ca6-7e12-4083-a68e-c267ed7ac6c8' class='xr-var-data-in' type='checkbox'><label for='data-30df1ca6-7e12-4083-a68e-c267ed7ac6c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0.],
        [0., 0.],
        [0., 0.],
        ...,
        [0., 0.],
        [0., 0.],
-       [0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.96e-07 5.96e-07 ... nan nan</div><input id='attrs-6593a28d-0443-4604-98c9-9c279caf4ce2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6593a28d-0443-4604-98c9-9c279caf4ce2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-740681d9-c067-4d40-9758-8c80f6d8699a' class='xr-var-data-in' type='checkbox'><label for='data-740681d9-c067-4d40-9758-8c80f6d8699a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 5.96046448e-07,  5.96046448e-07,  5.96046448e-07, ...,
+       [0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.96e-07 5.96e-07 ... nan nan</div><input id='attrs-25927033-ffea-4b3f-a554-405d3b11ff15' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-25927033-ffea-4b3f-a554-405d3b11ff15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ace10e15-d28b-49cf-a433-d80ef5334eac' class='xr-var-data-in' type='checkbox'><label for='data-ace10e15-d28b-49cf-a433-d80ef5334eac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 5.96046448e-07,  5.96046448e-07,  5.96046448e-07, ...,
           5.96046448e-07,  5.96046448e-07,  5.96046448e-07],
         [ 5.96046448e-07,  5.96046448e-07,  5.96046448e-07, ...,
           5.96046448e-07,  5.96046448e-07,  5.96046448e-07],
@@ -4303,7 +4320,7 @@ <h4>Transformations<a class="headerlink" href="#transformations" title="Permalin
                      nan,             nan,             nan],
         [            nan,             nan,             nan, ...,
                      nan,             nan,             nan]]],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5f2ed5dc-7e88-489c-bf27-22ddb688050f' class='xr-section-summary-in' type='checkbox'  ><label for='section-5f2ed5dc-7e88-489c-bf27-22ddb688050f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-57136775-e0cc-4f10-ba7d-aeeb2924ec64' class='xr-index-data-in' type='checkbox'/><label for='index-57136775-e0cc-4f10-ba7d-aeeb2924ec64' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c2432c9a-9b79-45b7-90e4-89c4688384cc' class='xr-section-summary-in' type='checkbox'  ><label for='section-c2432c9a-9b79-45b7-90e4-89c4688384cc' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-44a66817-66fa-4556-9ccd-116db01c8d57' class='xr-index-data-in' type='checkbox'/><label for='index-44a66817-66fa-4556-9ccd-116db01c8d57' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -4312,17 +4329,17 @@ <h4>Transformations<a class="headerlink" href="#transformations" title="Permalin
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8c5bbf2c-212c-43ee-80e6-301d8a355792' class='xr-index-data-in' type='checkbox'/><label for='index-8c5bbf2c-212c-43ee-80e6-301d8a355792' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-89adbf6a-0b57-49dd-9d68-b3efb746bb8e' class='xr-index-data-in' type='checkbox'/><label for='index-89adbf6a-0b57-49dd-9d68-b3efb746bb8e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ebddcbf9-2154-40ec-bea2-436eecbfe6e7' class='xr-index-data-in' type='checkbox'/><label for='index-ebddcbf9-2154-40ec-bea2-436eecbfe6e7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dd858409-1db2-4df4-b80b-67d2d7bb9fb2' class='xr-index-data-in' type='checkbox'/><label for='index-dd858409-1db2-4df4-b80b-67d2d7bb9fb2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44d4fb97-f06d-4892-a5d6-16d9fab1d4be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-44d4fb97-f06d-4892-a5d6-16d9fab1d4be' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-591162bf-0509-4a46-b073-7a45cdc7646b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-591162bf-0509-4a46-b073-7a45cdc7646b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Xarray makes these sorts of transformations easy by supporting <em>groupby
 arithmetic</em>. This concept is easiest explained with an example:</p>
@@ -4708,14 +4725,14 @@ <h4>Transformations<a class="headerlink" href="#transformations" title="Permalin
 Dimensions without coordinates: nbnds
 Data variables:
     time_bnds  (time, nbnds) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
-    sst        (time, lat, lon) float32 5.96e-07 5.96e-07 5.96e-07 ... nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-31c0630a-6330-4135-8640-4634d6fc70a8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-31c0630a-6330-4135-8640-4634d6fc70a8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1db145c4-4ece-47f4-81c0-07aa4850faf4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1db145c4-4ece-47f4-81c0-07aa4850faf4' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-1425207d-9a63-4457-9fec-7a60b4963582' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1425207d-9a63-4457-9fec-7a60b4963582' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e6e1977-cf95-4376-a3d1-170b3e9c7b79' class='xr-var-data-in' type='checkbox'><label for='data-6e6e1977-cf95-4376-a3d1-170b3e9c7b79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    sst        (time, lat, lon) float32 5.96e-07 5.96e-07 5.96e-07 ... nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f564794b-b0d6-40d1-8b63-1a393b85e2b3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f564794b-b0d6-40d1-8b63-1a393b85e2b3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8e740b57-db57-4b00-b86d-8880121f6a28' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e740b57-db57-4b00-b86d-8880121f6a28' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-795de9fa-c9c6-4df5-b1fd-3fe0c46938b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-795de9fa-c9c6-4df5-b1fd-3fe0c46938b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cf1c23b-83a0-4a69-a805-0dc91ed76b55' class='xr-var-data-in' type='checkbox'><label for='data-2cf1c23b-83a0-4a69-a805-0dc91ed76b55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-acf899c8-eaa7-4093-917a-eeecb2631604' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acf899c8-eaa7-4093-917a-eeecb2631604' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4727fddf-3990-48a9-9dda-b5c985cf43cf' class='xr-var-data-in' type='checkbox'><label for='data-4727fddf-3990-48a9-9dda-b5c985cf43cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-ed95dbf8-0a50-4068-b937-a86f23856f30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed95dbf8-0a50-4068-b937-a86f23856f30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-368dfe7e-1048-4ee2-a067-522108054469' class='xr-var-data-in' type='checkbox'><label for='data-368dfe7e-1048-4ee2-a067-522108054469' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -4730,16 +4747,16 @@ <h4>Transformations<a class="headerlink" href="#transformations" title="Permalin
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-a1c752cb-73a7-4098-aa7b-db5db48b66c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1c752cb-73a7-4098-aa7b-db5db48b66c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb6e635c-dc6b-4e34-9559-f559af081ba2' class='xr-var-data-in' type='checkbox'><label for='data-eb6e635c-dc6b-4e34-9559-f559af081ba2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-e0daf540-63a6-4a41-84b7-a416502d0e89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0daf540-63a6-4a41-84b7-a416502d0e89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9ff31b3-cf48-4828-b61e-c68513656af6' class='xr-var-data-in' type='checkbox'><label for='data-e9ff31b3-cf48-4828-b61e-c68513656af6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 6 7 8 9 10 11 12</div><input id='attrs-3d7f6e42-24c1-4941-9dbd-acb361e9866e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3d7f6e42-24c1-4941-9dbd-acb361e9866e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a227187b-eb83-4f33-90b6-ba6f07803e24' class='xr-var-data-in' type='checkbox'><label for='data-a227187b-eb83-4f33-90b6-ba6f07803e24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3, ..., 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e9e28c4f-352e-47f9-8283-5cd1325e9b5c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9e28c4f-352e-47f9-8283-5cd1325e9b5c' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-cec60937-12d0-48eb-afdc-ec1f0a468141' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cec60937-12d0-48eb-afdc-ec1f0a468141' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30df336c-2801-445c-8fed-24b4d0a9c6db' class='xr-var-data-in' type='checkbox'><label for='data-30df336c-2801-445c-8fed-24b4d0a9c6db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0.],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 6 7 8 9 10 11 12</div><input id='attrs-82ac19ed-0ffc-44df-8634-8da9f9b677ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82ac19ed-0ffc-44df-8634-8da9f9b677ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-598eb6d8-b783-461b-b33b-de9ae9f0a446' class='xr-var-data-in' type='checkbox'><label for='data-598eb6d8-b783-461b-b33b-de9ae9f0a446' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3, ..., 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e7035e74-5554-442e-a127-7e1049e6db51' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e7035e74-5554-442e-a127-7e1049e6db51' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-59aa7fc8-9fd8-4a7a-8f8e-849a6b75d83e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-59aa7fc8-9fd8-4a7a-8f8e-849a6b75d83e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d274a74e-8016-406d-a9ef-b6a9166495ca' class='xr-var-data-in' type='checkbox'><label for='data-d274a74e-8016-406d-a9ef-b6a9166495ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0.],
        [0., 0.],
        [0., 0.],
        ...,
        [0., 0.],
        [0., 0.],
-       [0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.96e-07 5.96e-07 ... nan nan</div><input id='attrs-089606e5-07c7-4c9e-955c-0d2fdadcc559' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-089606e5-07c7-4c9e-955c-0d2fdadcc559' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea966ec9-7fa1-4bf8-afa9-d1a9ece4d09a' class='xr-var-data-in' type='checkbox'><label for='data-ea966ec9-7fa1-4bf8-afa9-d1a9ece4d09a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 5.96046448e-07,  5.96046448e-07,  5.96046448e-07, ...,
+       [0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>5.96e-07 5.96e-07 ... nan nan</div><input id='attrs-ce68f0a8-8d74-41d1-b157-87467ed3766b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce68f0a8-8d74-41d1-b157-87467ed3766b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5d50e73-197a-44c2-af10-c0269d02ba50' class='xr-var-data-in' type='checkbox'><label for='data-a5d50e73-197a-44c2-af10-c0269d02ba50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 5.96046448e-07,  5.96046448e-07,  5.96046448e-07, ...,
           5.96046448e-07,  5.96046448e-07,  5.96046448e-07],
         [ 5.96046448e-07,  5.96046448e-07,  5.96046448e-07, ...,
           5.96046448e-07,  5.96046448e-07,  5.96046448e-07],
@@ -4779,7 +4796,7 @@ <h4>Transformations<a class="headerlink" href="#transformations" title="Permalin
                      nan,             nan,             nan],
         [            nan,             nan,             nan, ...,
                      nan,             nan,             nan]]],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-37df866e-d0dc-4b28-a395-1f67ef712f8a' class='xr-section-summary-in' type='checkbox'  ><label for='section-37df866e-d0dc-4b28-a395-1f67ef712f8a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cd65796f-f0c0-453f-bc66-db505c990351' class='xr-index-data-in' type='checkbox'/><label for='index-cd65796f-f0c0-453f-bc66-db505c990351' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-87970339-fb66-465d-b9ed-4f6dcea39ba9' class='xr-section-summary-in' type='checkbox'  ><label for='section-87970339-fb66-465d-b9ed-4f6dcea39ba9' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1a70952a-8e02-4782-a508-eda475d13b9e' class='xr-index-data-in' type='checkbox'/><label for='index-1a70952a-8e02-4782-a508-eda475d13b9e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -4788,17 +4805,17 @@ <h4>Transformations<a class="headerlink" href="#transformations" title="Permalin
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-833950c8-a89a-4c08-8202-5b0b8e5eafed' class='xr-index-data-in' type='checkbox'/><label for='index-833950c8-a89a-4c08-8202-5b0b8e5eafed' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e1d982a7-fb03-4488-be16-f7a6fb69de11' class='xr-index-data-in' type='checkbox'/><label for='index-e1d982a7-fb03-4488-be16-f7a6fb69de11' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-91bf9e84-f932-452c-b767-43b67c2c4390' class='xr-index-data-in' type='checkbox'/><label for='index-91bf9e84-f932-452c-b767-43b67c2c4390' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9c1dda59-7804-4784-8d41-0ab5cfc1c8db' class='xr-index-data-in' type='checkbox'/><label for='index-9c1dda59-7804-4784-8d41-0ab5cfc1c8db' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e81a43f-bd5e-4aac-b217-cec3ccac1352' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2e81a43f-bd5e-4aac-b217-cec3ccac1352' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2b3ffd2c-499d-4f07-8539-21f67760d9d5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b3ffd2c-499d-4f07-8539-21f67760d9d5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Now we can view the climate signal without the overwhelming influence of the
 seasonal cycle.</p>
@@ -4810,7 +4827,7 @@ <h4>Transformations<a class="headerlink" href="#transformations" title="Permalin
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/6794bc75a7b77efe0ec07e24b802ac1a0dec6f806191c36fee4af1475580b7f1.png" src="../_images/6794bc75a7b77efe0ec07e24b802ac1a0dec6f806191c36fee4af1475580b7f1.png" />
+<img alt="../_images/d3ae1f08871803fecf01e5ce231108c3fbbfa3a3c6f4acf695cc5981e137012a.png" src="../_images/d3ae1f08871803fecf01e5ce231108c3fbbfa3a3c6f4acf695cc5981e137012a.png" />
 </div>
 </div>
 <p><em>Difference between Jan. 1 2018 and Jan. 1 1970</em></p>
@@ -4821,7 +4838,7 @@ <h4>Transformations<a class="headerlink" href="#transformations" title="Permalin
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/68641af56735647a71632cfbb0af452f485bd1e429f349b747019c20fc7023de.png" src="../_images/68641af56735647a71632cfbb0af452f485bd1e429f349b747019c20fc7023de.png" />
+<img alt="../_images/faced41c0c2e3fd7c27bdc86b4c937e1fa26b9fbe3e1585879a3a684c621e747.png" src="../_images/faced41c0c2e3fd7c27bdc86b4c937e1fa26b9fbe3e1585879a3a684c621e747.png" />
 </div>
 </div>
 <div class="exercise admonition" id="annual-mean">
@@ -4844,7 +4861,7 @@ <h4>Transformations<a class="headerlink" href="#transformations" title="Permalin
 </section>
 </section>
 <section id="resample">
-<h2>Resample<a class="headerlink" href="#resample" title="Permalink to this headline">#</a></h2>
+<h2>Resample<a class="headerlink" href="#resample" title="Permalink to this heading">#</a></h2>
 <p>Resampling means changing the time frequency of data, usually reducing to a coarser frequency: e.g. converting daily frequency data to monthly frequency data using <code class="docutils literal notranslate"><span class="pre">mean</span></code> to reduce the values. This operation can be thought of as a groupby operation where each group is a single month of data. Resampling can be applied only to time-index dimensions.</p>
 <p>First note that <code class="docutils literal notranslate"><span class="pre">ds_anom</span></code> has data at monthly frequency (i.e. one point every month).</p>
 <div class="cell docutils container">
@@ -5222,20 +5239,20 @@ <h2>Resample<a class="headerlink" href="#resample" title="Permalink to this head
 Coordinates:
   * time     (time) datetime64[ns] 1970-01-01 1970-02-01 ... 2021-12-01
     month    (time) int64 1 2 3 4 5 6 7 8 9 10 11 ... 2 3 4 5 6 7 8 9 10 11 12
-Attributes: (7)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9dcf4ba5-d5fc-4788-b7f4-3a55befbdf83' class='xr-array-in' type='checkbox' ><label for='section-9dcf4ba5-d5fc-4788-b7f4-3a55befbdf83' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1970-01-01 1970-02-01 1970-03-01 ... 2021-10-01 2021-11-01 2021-12-01</span></div><div class='xr-array-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+Attributes: (7)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0ba5155b-8cc2-462e-bf3c-14611f404433' class='xr-array-in' type='checkbox' ><label for='section-0ba5155b-8cc2-462e-bf3c-14611f404433' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1970-01-01 1970-02-01 1970-03-01 ... 2021-10-01 2021-11-01 2021-12-01</span></div><div class='xr-array-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-bd3e4c8b-db4a-4f0b-afbb-8d7f5a2adab5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bd3e4c8b-db4a-4f0b-afbb-8d7f5a2adab5' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-6a4d5382-dd54-4990-8f2c-ec589f514fa1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a4d5382-dd54-4990-8f2c-ec589f514fa1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e98c0bb2-eada-4c02-9809-87f759ede074' class='xr-var-data-in' type='checkbox'><label for='data-e98c0bb2-eada-4c02-9809-87f759ede074' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-f56c45a3-8236-4058-94ae-7b0b06f5de92' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f56c45a3-8236-4058-94ae-7b0b06f5de92' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-a77af989-a50c-42bf-b522-ae6aafdf0368' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a77af989-a50c-42bf-b522-ae6aafdf0368' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a5b5f55-01a6-4d3f-ac01-45c6b05929f5' class='xr-var-data-in' type='checkbox'><label for='data-0a5b5f55-01a6-4d3f-ac01-45c6b05929f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 6 7 8 9 10 11 12</div><input id='attrs-50b81e75-e99c-4b60-b3e8-ff68de678aac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-50b81e75-e99c-4b60-b3e8-ff68de678aac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7262ab7a-1373-44fb-88ac-ea5d1714509e' class='xr-var-data-in' type='checkbox'><label for='data-7262ab7a-1373-44fb-88ac-ea5d1714509e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3, ..., 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3dd49804-e25e-4912-b60a-09585c8d79a1' class='xr-section-summary-in' type='checkbox'  ><label for='section-3dd49804-e25e-4912-b60a-09585c8d79a1' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d48f63a7-7499-403e-a1a2-00849ffc8a46' class='xr-index-data-in' type='checkbox'/><label for='index-d48f63a7-7499-403e-a1a2-00849ffc8a46' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>month</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 6 7 8 9 10 11 12</div><input id='attrs-f50e5292-f663-49ce-84c8-4670e1217f6b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f50e5292-f663-49ce-84c8-4670e1217f6b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aaae19dd-60c8-4de2-8220-a65542e2c4ae' class='xr-var-data-in' type='checkbox'><label for='data-aaae19dd-60c8-4de2-8220-a65542e2c4ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3, ..., 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2bb325a6-e210-4315-8371-a25794d63bb1' class='xr-section-summary-in' type='checkbox'  ><label for='section-2bb325a6-e210-4315-8371-a25794d63bb1' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-87f62bbd-cfed-45b4-bc8b-15c780b53a8e' class='xr-index-data-in' type='checkbox'/><label for='index-87f62bbd-cfed-45b4-bc8b-15c780b53a8e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b2de9659-9eaf-44a4-a346-7030381d34aa' class='xr-section-summary-in' type='checkbox'  ><label for='section-b2de9659-9eaf-44a4-a346-7030381d34aa' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d072a077-84a3-46b4-aa9d-2b936a9d055c' class='xr-section-summary-in' type='checkbox'  ><label for='section-d072a077-84a3-46b4-aa9d-2b936a9d055c' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Here we compute the five-year mean along the <code class="docutils literal notranslate"><span class="pre">time</span></code> dimension by passing <code class="docutils literal notranslate"><span class="pre">time='5Y'</span></code>. <code class="docutils literal notranslate"><span class="pre">'5Y'</span></code> is a special frequency string. Xarray uses pandas to convert such a frequency string to a groupby operation. See the <a class="reference external" href="https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases">pandas documentation</a> for how to specify a different frequency.</p>
 <div class="cell docutils container">
@@ -5246,6 +5263,10 @@ <h2>Resample<a class="headerlink" href="#resample" title="Permalink to this head
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/groupby.py:534: FutureWarning: &#39;Y&#39; is deprecated and will be removed in a future version, please use &#39;YE&#39; instead.
+  index_grouper = pd.Grouper(
+</pre></div>
+</div>
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>DatasetResample, grouped over &#39;__resample_dim__&#39;
 12 groups with labels 1970-12-31, ..., 2025-12-31.
 </pre></div>
@@ -5637,14 +5658,14 @@ <h2>Resample<a class="headerlink" href="#resample" title="Permalink to this head
 Dimensions without coordinates: nbnds
 Data variables:
     time_bnds  (time, nbnds) float64 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
-    sst        (time, lat, lon) float32 -0.0005956 -0.0005648 ... nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-335ec693-cb63-4eb9-bc9a-f57b1e730b26' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-335ec693-cb63-4eb9-bc9a-f57b1e730b26' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 12</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6b485d7e-f858-4d55-86d8-36a7f29b3ced' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b485d7e-f858-4d55-86d8-36a7f29b3ced' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-45d4d7df-e593-4af3-9305-54c9273ea31c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45d4d7df-e593-4af3-9305-54c9273ea31c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74cdfb25-f86f-4cc0-9811-7a8304fbdf8b' class='xr-var-data-in' type='checkbox'><label for='data-74cdfb25-f86f-4cc0-9811-7a8304fbdf8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    sst        (time, lat, lon) float32 -0.0005956 -0.0005648 ... nan nan</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-43120fa5-5266-4a66-b8ef-dd57ddfd68af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-43120fa5-5266-4a66-b8ef-dd57ddfd68af' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 12</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-80b99387-ae70-47c5-89e1-d97fdace0607' class='xr-section-summary-in' type='checkbox'  checked><label for='section-80b99387-ae70-47c5-89e1-d97fdace0607' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-518939f5-473f-4c56-8d1a-2b0559b3a87c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-518939f5-473f-4c56-8d1a-2b0559b3a87c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3425f9da-dec1-4cdc-9f8b-b1ff9fefb290' class='xr-var-data-in' type='checkbox'><label for='data-3425f9da-dec1-4cdc-9f8b-b1ff9fefb290' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-f0c453a1-0360-4deb-9b06-fe2ebe07172c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0c453a1-0360-4deb-9b06-fe2ebe07172c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93796c3a-1afd-4767-ba0f-021308d455b3' class='xr-var-data-in' type='checkbox'><label for='data-93796c3a-1afd-4767-ba0f-021308d455b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-f74984f3-fef7-4dfc-a438-f9f5d3ba37d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f74984f3-fef7-4dfc-a438-f9f5d3ba37d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca0baa17-a521-4fa0-9867-0d0472e4e834' class='xr-var-data-in' type='checkbox'><label for='data-ca0baa17-a521-4fa0-9867-0d0472e4e834' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -5659,13 +5680,13 @@ <h2>Resample<a class="headerlink" href="#resample" title="Permalink to this head
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-12-31 ... 2025-12-31</div><input id='attrs-0172f9fc-ccdf-4f23-a1db-3072979a9e2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0172f9fc-ccdf-4f23-a1db-3072979a9e2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a20ff5f-e3ac-4aa5-bb0a-6d3fa783a7f9' class='xr-var-data-in' type='checkbox'><label for='data-2a20ff5f-e3ac-4aa5-bb0a-6d3fa783a7f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-12-31T00:00:00.000000000&#x27;, &#x27;1975-12-31T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-12-31 ... 2025-12-31</div><input id='attrs-198c8d11-bed6-4415-b92e-a054309eed85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-198c8d11-bed6-4415-b92e-a054309eed85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-456af1f0-695a-4d41-a3e4-9471c69ed230' class='xr-var-data-in' type='checkbox'><label for='data-456af1f0-695a-4d41-a3e4-9471c69ed230' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-12-31T00:00:00.000000000&#x27;, &#x27;1975-12-31T00:00:00.000000000&#x27;,
        &#x27;1980-12-31T00:00:00.000000000&#x27;, &#x27;1985-12-31T00:00:00.000000000&#x27;,
        &#x27;1990-12-31T00:00:00.000000000&#x27;, &#x27;1995-12-31T00:00:00.000000000&#x27;,
        &#x27;2000-12-31T00:00:00.000000000&#x27;, &#x27;2005-12-31T00:00:00.000000000&#x27;,
        &#x27;2010-12-31T00:00:00.000000000&#x27;, &#x27;2015-12-31T00:00:00.000000000&#x27;,
        &#x27;2020-12-31T00:00:00.000000000&#x27;, &#x27;2025-12-31T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-207953b7-0fc0-4dd7-adb0-5d3b162147ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-207953b7-0fc0-4dd7-adb0-5d3b162147ca' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-21f8886b-432e-43eb-869c-3927a4da0fd0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21f8886b-432e-43eb-869c-3927a4da0fd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77fd1d70-b359-40a4-96e7-18b59ed711ff' class='xr-var-data-in' type='checkbox'><label for='data-77fd1d70-b359-40a4-96e7-18b59ed711ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0.],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a026b70-2c9d-4032-9640-782ef03fe64f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a026b70-2c9d-4032-9640-782ef03fe64f' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e1202c63-ce9b-4840-9b9c-bcfbb2c60f1c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1202c63-ce9b-4840-9b9c-bcfbb2c60f1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38e4e6f6-a852-4a98-aa49-a514a42cca6c' class='xr-var-data-in' type='checkbox'><label for='data-38e4e6f6-a852-4a98-aa49-a514a42cca6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0., 0.],
        [0., 0.],
        [0., 0.],
        [0., 0.],
@@ -5676,7 +5697,7 @@ <h2>Resample<a class="headerlink" href="#resample" title="Permalink to this head
        [0., 0.],
        [0., 0.],
        [0., 0.],
-       [0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.0005956 -0.0005648 ... nan nan</div><input id='attrs-bdf3b40a-aa4e-48b1-bb5e-d5820785b41c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bdf3b40a-aa4e-48b1-bb5e-d5820785b41c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a00d94b-54a9-46b4-8b86-5e7b08360687' class='xr-var-data-in' type='checkbox'><label for='data-6a00d94b-54a9-46b4-8b86-5e7b08360687' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[-5.9563917e-04, -5.6480366e-04, -5.4194528e-04, ...,
+       [0., 0.]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-0.0005956 -0.0005648 ... nan nan</div><input id='attrs-e50ca807-5afe-44a6-b426-7277b1568f2a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e50ca807-5afe-44a6-b426-7277b1568f2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba12498a-f4fb-4de3-8e4b-44895459abaf' class='xr-var-data-in' type='checkbox'><label for='data-ba12498a-f4fb-4de3-8e4b-44895459abaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[-5.9563917e-04, -5.6480366e-04, -5.4194528e-04, ...,
          -4.8625469e-04, -5.6250888e-04, -6.1717629e-04],
         [-5.6792301e-04, -6.2283874e-04, -6.5514445e-04, ...,
          -1.6377370e-04, -3.9768219e-04, -4.8478445e-04],
@@ -5716,7 +5737,7 @@ <h2>Resample<a class="headerlink" href="#resample" title="Permalink to this head
         [           nan,            nan,            nan, ...,
                     nan,            nan,            nan],
         [           nan,            nan,            nan, ...,
-                    nan,            nan,            nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-163d13e8-7f93-4b42-9824-60d4d3a06d3d' class='xr-section-summary-in' type='checkbox'  ><label for='section-163d13e8-7f93-4b42-9824-60d4d3a06d3d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-17dc1110-1b63-4248-9ebb-982984c96108' class='xr-index-data-in' type='checkbox'/><label for='index-17dc1110-1b63-4248-9ebb-982984c96108' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+                    nan,            nan,            nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-10e6eefd-64ec-4b0a-87c9-ba7f0a6981fc' class='xr-section-summary-in' type='checkbox'  ><label for='section-10e6eefd-64ec-4b0a-87c9-ba7f0a6981fc' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-565de5a8-7bda-46f7-be3c-be6295dbbd5e' class='xr-index-data-in' type='checkbox'/><label for='index-565de5a8-7bda-46f7-be3c-be6295dbbd5e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -5725,13 +5746,13 @@ <h2>Resample<a class="headerlink" href="#resample" title="Permalink to this head
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-836d595c-0309-4f17-aaa3-d821c515e80a' class='xr-index-data-in' type='checkbox'/><label for='index-836d595c-0309-4f17-aaa3-d821c515e80a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c7a9bab1-ff7c-4491-8523-9b6df1522997' class='xr-index-data-in' type='checkbox'/><label for='index-c7a9bab1-ff7c-4491-8523-9b6df1522997' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b652382d-f54d-48b0-bb90-8b5eb406a138' class='xr-index-data-in' type='checkbox'/><label for='index-b652382d-f54d-48b0-bb90-8b5eb406a138' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-12-31&#x27;, &#x27;1975-12-31&#x27;, &#x27;1980-12-31&#x27;, &#x27;1985-12-31&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5453b023-5c00-4117-a2b7-a68ead0a63ff' class='xr-index-data-in' type='checkbox'/><label for='index-5453b023-5c00-4117-a2b7-a68ead0a63ff' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-12-31&#x27;, &#x27;1975-12-31&#x27;, &#x27;1980-12-31&#x27;, &#x27;1985-12-31&#x27;,
                &#x27;1990-12-31&#x27;, &#x27;1995-12-31&#x27;, &#x27;2000-12-31&#x27;, &#x27;2005-12-31&#x27;,
                &#x27;2010-12-31&#x27;, &#x27;2015-12-31&#x27;, &#x27;2020-12-31&#x27;, &#x27;2025-12-31&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;5A-DEC&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a9750c0d-cce8-4379-8a6a-3826ae00132e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a9750c0d-cce8-4379-8a6a-3826ae00132e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;5YE-DEC&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43d011d2-4033-42c7-a925-3088bd0570ef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-43d011d2-4033-42c7-a925-3088bd0570ef' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -5767,7 +5788,7 @@ <h2>Resample<a class="headerlink" href="#resample" title="Permalink to this head
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/3b1631030654dd1d4a9559c0b2f4e6b0df5d30c6022a9b6fbaa30f9d3aab816c.png" src="../_images/3b1631030654dd1d4a9559c0b2f4e6b0df5d30c6022a9b6fbaa30f9d3aab816c.png" />
+<img alt="../_images/ab74a7add11877a65230c1e40bff14c4ee535a7524f8dd96684aa0eeb80c019c.png" src="../_images/ab74a7add11877a65230c1e40bff14c4ee535a7524f8dd96684aa0eeb80c019c.png" />
 </div>
 </div>
 <div class="exercise admonition" id="resample-mean">
@@ -5790,7 +5811,7 @@ <h2>Resample<a class="headerlink" href="#resample" title="Permalink to this head
 </div>
 </section>
 <section id="groupby-vs-resample">
-<h2>GroupBy vs Resample<a class="headerlink" href="#groupby-vs-resample" title="Permalink to this headline">#</a></h2>
+<h2>GroupBy vs Resample<a class="headerlink" href="#groupby-vs-resample" title="Permalink to this heading">#</a></h2>
 <p>Let’s compare the grouped and resampled outputs.</p>
 <ol class="arabic simple">
 <li><p>Note the different dimension names: when grouped, <code class="docutils literal notranslate"><span class="pre">time</span></code> is renamed to <code class="docutils literal notranslate"><span class="pre">year</span></code>. When resampled, the <code class="docutils literal notranslate"><span class="pre">time</span></code> dimension name is preserved</p></li>
@@ -5809,6 +5830,10 @@ <h2>GroupBy vs Resample<a class="headerlink" href="#groupby-vs-resample" title="
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/groupby.py:534: FutureWarning: &#39;Y&#39; is deprecated and will be removed in a future version, please use &#39;YE&#39; instead.
+  index_grouper = pd.Grouper(
+</pre></div>
+</div>
 <div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
 <defs>
 <symbol id="icon-database" viewBox="0 0 32 32">
@@ -6178,7 +6203,7 @@ <h2>GroupBy vs Resample<a class="headerlink" href="#groupby-vs-resample" title="
     lat      float32 50.0
     lon      float32 300.0
   * year     (year) int64 1970 1971 1972 1973 1974 ... 2017 2018 2019 2020 2021
-Attributes: (9)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>year</span>: 52</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4d8f93d3-c29a-483c-b959-f6b0385ea42d' class='xr-array-in' type='checkbox' ><label for='section-4d8f93d3-c29a-483c-b959-f6b0385ea42d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4.513 4.354 3.557 4.069 3.565 3.755 ... 5.82 5.307 5.131 5.649 6.264</span></div><div class='xr-array-data'><pre>array([4.5134172, 4.3535385, 3.557309 , 4.0691333, 3.5645876, 3.7551517,
+Attributes: (9)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>year</span>: 52</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6a40023f-501b-4ff3-a4e2-4b93c2f68176' class='xr-array-in' type='checkbox' ><label for='section-6a40023f-501b-4ff3-a4e2-4b93c2f68176' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4.513 4.354 3.557 4.069 3.565 3.755 ... 5.82 5.307 5.131 5.649 6.264</span></div><div class='xr-array-data'><pre>array([4.5134172, 4.3535385, 3.557309 , 4.0691333, 3.5645876, 3.7551517,
        4.262033 , 3.9146001, 4.022479 , 4.7951183, 4.5170503, 5.0291677,
        4.3094535, 4.930156 , 4.4726634, 3.983209 , 3.9002724, 4.5253835,
        4.6222777, 4.443087 , 4.169372 , 4.253096 , 4.0704827, 4.0357246,
@@ -6186,16 +6211,16 @@ <h2>GroupBy vs Resample<a class="headerlink" href="#groupby-vs-resample" title="
        5.049659 , 5.0169   , 4.4107413, 4.640264 , 4.785632 , 4.9269776,
        5.6414247, 4.817692 , 5.4140706, 4.921457 , 5.716736 , 5.595957 ,
        6.6563897, 5.8264565, 5.630055 , 5.5517583, 5.81192  , 5.8198867,
-       5.30694  , 5.131144 , 5.6489854, 6.2640266], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6b920fc8-fca6-49c2-b664-a700c52f86b4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b920fc8-fca6-49c2-b664-a700c52f86b4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-8e89c5fe-5483-4fd1-bba4-0a1d71f5059d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e89c5fe-5483-4fd1-bba4-0a1d71f5059d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a33cffb-a7c4-449b-883f-7befb7703f82' class='xr-var-data-in' type='checkbox'><label for='data-8a33cffb-a7c4-449b-883f-7befb7703f82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>300.0</div><input id='attrs-686dea84-4711-46b9-b492-6b274a3c38bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-686dea84-4711-46b9-b492-6b274a3c38bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-750b0431-a389-44ec-8ae5-f6541072da60' class='xr-var-data-in' type='checkbox'><label for='data-750b0431-a389-44ec-8ae5-f6541072da60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(300., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1970 1971 1972 ... 2019 2020 2021</div><input id='attrs-10a26464-f582-44e9-be92-2f897ec2bf47' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-10a26464-f582-44e9-be92-2f897ec2bf47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-489618fa-7180-47e0-be92-6ba4561fe0b1' class='xr-var-data-in' type='checkbox'><label for='data-489618fa-7180-47e0-be92-6ba4561fe0b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981,
+       5.30694  , 5.131144 , 5.6489854, 6.2640266], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-325e3968-f23c-46ce-886a-392221614781' class='xr-section-summary-in' type='checkbox'  checked><label for='section-325e3968-f23c-46ce-886a-392221614781' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-8917cd1c-dc7b-4c33-a7dc-a17a536573b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8917cd1c-dc7b-4c33-a7dc-a17a536573b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-032e9982-96f0-4e2f-9c36-149e9760756d' class='xr-var-data-in' type='checkbox'><label for='data-032e9982-96f0-4e2f-9c36-149e9760756d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>300.0</div><input id='attrs-d2f54825-1c84-4e63-b79a-38e0ddcd6287' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2f54825-1c84-4e63-b79a-38e0ddcd6287' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49244d8f-79df-47d2-8ab6-fde5c730d4a9' class='xr-var-data-in' type='checkbox'><label for='data-49244d8f-79df-47d2-8ab6-fde5c730d4a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(300., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>year</span></div><div class='xr-var-dims'>(year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1970 1971 1972 ... 2019 2020 2021</div><input id='attrs-2a2820f6-a5c9-4d44-bf6a-5d81b5c164aa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2a2820f6-a5c9-4d44-bf6a-5d81b5c164aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2892a5c4-28ab-4d54-89da-8e5307cdc122' class='xr-var-data-in' type='checkbox'><label for='data-2892a5c4-28ab-4d54-89da-8e5307cdc122' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981,
        1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993,
        1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005,
        2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017,
-       2018, 2019, 2020, 2021])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34cfb4f3-6ec7-47a2-9722-82d083ac35d2' class='xr-section-summary-in' type='checkbox'  ><label for='section-34cfb4f3-6ec7-47a2-9722-82d083ac35d2' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>year</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a91f4612-c403-4e33-87f1-4988f00935f3' class='xr-index-data-in' type='checkbox'/><label for='index-a91f4612-c403-4e33-87f1-4988f00935f3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981,
+       2018, 2019, 2020, 2021])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c822ae16-4ccd-4021-b6a6-8e0438c3966b' class='xr-section-summary-in' type='checkbox'  ><label for='section-c822ae16-4ccd-4021-b6a6-8e0438c3966b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>year</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2f11232a-0498-41f9-a187-7a6d181c103c' class='xr-index-data-in' type='checkbox'/><label for='index-2f11232a-0498-41f9-a187-7a6d181c103c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981,
        1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993,
        1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005,
        2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017,
        2018, 2019, 2020, 2021],
-      dtype=&#x27;int64&#x27;, name=&#x27;year&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7b4e8f23-d712-4bfe-88ea-883e4ccc66e9' class='xr-section-summary-in' type='checkbox'  ><label for='section-7b4e8f23-d712-4bfe-88ea-883e4ccc66e9' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div><div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
+      dtype=&#x27;int64&#x27;, name=&#x27;year&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-51e1a2d3-ca9f-44d5-9291-b917e9687525' class='xr-section-summary-in' type='checkbox'  ><label for='section-51e1a2d3-ca9f-44d5-9291-b917e9687525' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div><div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
 <defs>
 <symbol id="icon-database" viewBox="0 0 32 32">
 <path d="M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z"></path>
@@ -6564,7 +6589,7 @@ <h2>GroupBy vs Resample<a class="headerlink" href="#groupby-vs-resample" title="
     lat      float32 50.0
     lon      float32 300.0
   * time     (time) datetime64[ns] 1970-12-31 1971-12-31 ... 2021-12-31
-Attributes: (9)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 52</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-02ea149e-9833-4974-b8b9-904d19073d12' class='xr-array-in' type='checkbox' ><label for='section-02ea149e-9833-4974-b8b9-904d19073d12' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4.513 4.354 3.557 4.069 3.565 3.755 ... 5.82 5.307 5.131 5.649 6.264</span></div><div class='xr-array-data'><pre>array([4.5134172, 4.3535385, 3.557309 , 4.0691333, 3.5645876, 3.7551517,
+Attributes: (9)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 52</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d6d8be0e-369e-4c2c-876a-6e25cbcc9c97' class='xr-array-in' type='checkbox' ><label for='section-d6d8be0e-369e-4c2c-876a-6e25cbcc9c97' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4.513 4.354 3.557 4.069 3.565 3.755 ... 5.82 5.307 5.131 5.649 6.264</span></div><div class='xr-array-data'><pre>array([4.5134172, 4.3535385, 3.557309 , 4.0691333, 3.5645876, 3.7551517,
        4.262033 , 3.9146001, 4.022479 , 4.7951183, 4.5170503, 5.0291677,
        4.3094535, 4.930156 , 4.4726634, 3.983209 , 3.9002724, 4.5253835,
        4.6222777, 4.443087 , 4.169372 , 4.253096 , 4.0704827, 4.0357246,
@@ -6572,7 +6597,7 @@ <h2>GroupBy vs Resample<a class="headerlink" href="#groupby-vs-resample" title="
        5.049659 , 5.0169   , 4.4107413, 4.640264 , 4.785632 , 4.9269776,
        5.6414247, 4.817692 , 5.4140706, 4.921457 , 5.716736 , 5.595957 ,
        6.6563897, 5.8264565, 5.630055 , 5.5517583, 5.81192  , 5.8198867,
-       5.30694  , 5.131144 , 5.6489854, 6.2640266], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-1c77d430-ef1f-4c45-afcb-e6f4d36e3113' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1c77d430-ef1f-4c45-afcb-e6f4d36e3113' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-c40eb69d-7dce-4019-9ca4-4fa04f14a941' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c40eb69d-7dce-4019-9ca4-4fa04f14a941' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b4b8d96-6aa9-4434-8b30-9e56485ce1b4' class='xr-var-data-in' type='checkbox'><label for='data-3b4b8d96-6aa9-4434-8b30-9e56485ce1b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>300.0</div><input id='attrs-9f11d239-2218-44c1-8116-5056ae925782' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f11d239-2218-44c1-8116-5056ae925782' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-058bb330-d89c-409a-beaa-6e3e996fa11f' class='xr-var-data-in' type='checkbox'><label for='data-058bb330-d89c-409a-beaa-6e3e996fa11f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(300., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-12-31 ... 2021-12-31</div><input id='attrs-c1265252-f9a7-4b4d-a4f6-6f1781308ca6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1265252-f9a7-4b4d-a4f6-6f1781308ca6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf7ab9bf-cb1d-4869-b2f2-638cd63186ca' class='xr-var-data-in' type='checkbox'><label for='data-cf7ab9bf-cb1d-4869-b2f2-638cd63186ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-12-31T00:00:00.000000000&#x27;, &#x27;1971-12-31T00:00:00.000000000&#x27;,
+       5.30694  , 5.131144 , 5.6489854, 6.2640266], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-2e29d1a5-9a3e-410a-bfdf-04f7e061feb4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e29d1a5-9a3e-410a-bfdf-04f7e061feb4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-3bc2cb51-ab0c-4d3b-9331-241412b6ddf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3bc2cb51-ab0c-4d3b-9331-241412b6ddf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da38add2-adba-44ab-893e-fa3958c67bb2' class='xr-var-data-in' type='checkbox'><label for='data-da38add2-adba-44ab-893e-fa3958c67bb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>300.0</div><input id='attrs-30bb5184-ceba-4268-8945-6caf96f7e639' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30bb5184-ceba-4268-8945-6caf96f7e639' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c3687ef-09a4-4961-8b8e-0af28126600f' class='xr-var-data-in' type='checkbox'><label for='data-4c3687ef-09a4-4961-8b8e-0af28126600f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(300., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-12-31 ... 2021-12-31</div><input id='attrs-c767c286-1815-4bc2-9ad4-32cd344f72ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c767c286-1815-4bc2-9ad4-32cd344f72ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bc0ebc3-cac2-4886-9dc9-9fc969e44943' class='xr-var-data-in' type='checkbox'><label for='data-2bc0ebc3-cac2-4886-9dc9-9fc969e44943' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-12-31T00:00:00.000000000&#x27;, &#x27;1971-12-31T00:00:00.000000000&#x27;,
        &#x27;1972-12-31T00:00:00.000000000&#x27;, &#x27;1973-12-31T00:00:00.000000000&#x27;,
        &#x27;1974-12-31T00:00:00.000000000&#x27;, &#x27;1975-12-31T00:00:00.000000000&#x27;,
        &#x27;1976-12-31T00:00:00.000000000&#x27;, &#x27;1977-12-31T00:00:00.000000000&#x27;,
@@ -6598,7 +6623,7 @@ <h2>GroupBy vs Resample<a class="headerlink" href="#groupby-vs-resample" title="
        &#x27;2016-12-31T00:00:00.000000000&#x27;, &#x27;2017-12-31T00:00:00.000000000&#x27;,
        &#x27;2018-12-31T00:00:00.000000000&#x27;, &#x27;2019-12-31T00:00:00.000000000&#x27;,
        &#x27;2020-12-31T00:00:00.000000000&#x27;, &#x27;2021-12-31T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2ac47d01-1220-423b-a71c-30a459539892' class='xr-section-summary-in' type='checkbox'  ><label for='section-2ac47d01-1220-423b-a71c-30a459539892' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-96ba0d73-8d86-4500-9b26-f081180db24c' class='xr-index-data-in' type='checkbox'/><label for='index-96ba0d73-8d86-4500-9b26-f081180db24c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-12-31&#x27;, &#x27;1971-12-31&#x27;, &#x27;1972-12-31&#x27;, &#x27;1973-12-31&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8ad09db2-3f29-42d1-ba50-b1d0cde3588d' class='xr-section-summary-in' type='checkbox'  ><label for='section-8ad09db2-3f29-42d1-ba50-b1d0cde3588d' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-027e6974-d628-432c-b023-2cc0484b616d' class='xr-index-data-in' type='checkbox'/><label for='index-027e6974-d628-432c-b023-2cc0484b616d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-12-31&#x27;, &#x27;1971-12-31&#x27;, &#x27;1972-12-31&#x27;, &#x27;1973-12-31&#x27;,
                &#x27;1974-12-31&#x27;, &#x27;1975-12-31&#x27;, &#x27;1976-12-31&#x27;, &#x27;1977-12-31&#x27;,
                &#x27;1978-12-31&#x27;, &#x27;1979-12-31&#x27;, &#x27;1980-12-31&#x27;, &#x27;1981-12-31&#x27;,
                &#x27;1982-12-31&#x27;, &#x27;1983-12-31&#x27;, &#x27;1984-12-31&#x27;, &#x27;1985-12-31&#x27;,
@@ -6611,7 +6636,7 @@ <h2>GroupBy vs Resample<a class="headerlink" href="#groupby-vs-resample" title="
                &#x27;2010-12-31&#x27;, &#x27;2011-12-31&#x27;, &#x27;2012-12-31&#x27;, &#x27;2013-12-31&#x27;,
                &#x27;2014-12-31&#x27;, &#x27;2015-12-31&#x27;, &#x27;2016-12-31&#x27;, &#x27;2017-12-31&#x27;,
                &#x27;2018-12-31&#x27;, &#x27;2019-12-31&#x27;, &#x27;2020-12-31&#x27;, &#x27;2021-12-31&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;A-DEC&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33d04ec4-57bc-4cb4-8ca5-341206314795' class='xr-section-summary-in' type='checkbox'  ><label for='section-33d04ec4-57bc-4cb4-8ca5-341206314795' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;YE-DEC&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a7be7877-a100-4eda-a004-8d8ad33747ea' class='xr-section-summary-in' type='checkbox'  ><label for='section-a7be7877-a100-4eda-a004-8d8ad33747ea' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -6627,7 +6652,7 @@ <h2>GroupBy vs Resample<a class="headerlink" href="#groupby-vs-resample" title="
 </div>
 </section>
 <section id="going-further">
-<h2>Going further<a class="headerlink" href="#going-further" title="Permalink to this headline">#</a></h2>
+<h2>Going further<a class="headerlink" href="#going-further" title="Permalink to this heading">#</a></h2>
 <ol class="arabic simple">
 <li><p>See the documentation on <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/groupby.html">groupby</a> and <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/time-series.html#resampling-and-grouped-operations">resample</a></p></li>
 <li><p>Follow the tutorial on <a class="reference external" href="https://tutorial.xarray.dev/intermediate/01-high-level-computation-patterns.html">high-level computation patterns</a></p></li>
@@ -6660,11 +6685,10 @@ <h2>Going further<a class="headerlink" href="#going-further" title="Permalink to
 
               
               
-                <footer class="bd-footer-article">
+              
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+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
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     <a class="left-prev"
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@@ -6684,10 +6708,7 @@ <h2>Going further<a class="headerlink" href="#going-further" title="Permalink to
       </div>
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@@ -6696,6 +6717,7 @@ <h2>Going further<a class="headerlink" href="#going-further" title="Permalink to
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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@@ -6739,6 +6761,7 @@ <h2>Going further<a class="headerlink" href="#going-further" title="Permalink to
   
   <div class="footer-item">
     
+
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@@ -6765,8 +6788,8 @@ <h2>Going further<a class="headerlink" href="#going-further" title="Permalink to
   </div>
   
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-  <script src="../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
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+  <script src="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/fundamentals/03.3_windowed.html b/fundamentals/03.3_windowed.html
index 946c0d99..1b843e6c 100644
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+++ b/fundamentals/03.3_windowed.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
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   <!-- Loaded before other Sphinx assets -->
-  <link href="../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../_static/styles/bootstrap.css?digest=e353d410970836974a52" rel="stylesheet" />
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+  <link href="../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
     <script src="../_static/jquery.js"></script>
     <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../_static/doctools.js"></script>
     <script src="../_static/clipboard.min.js"></script>
     <script src="../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
   <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -520,10 +537,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="windowed-computations">
-<h1>Windowed Computations<a class="headerlink" href="#windowed-computations" title="Permalink to this headline">#</a></h1>
+<h1>Windowed Computations<a class="headerlink" href="#windowed-computations" title="Permalink to this heading">#</a></h1>
 <p>Xarray has built-in support for windowed operations:</p>
 <ol class="arabic simple">
 <li><p><a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/computation.html#rolling-window-operations">rolling</a> - Sliding windows of fixed length.</p></li>
@@ -943,14 +960,14 @@ <h1>Windowed Computations<a class="headerlink" href="#windowed-computations" tit
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a8835391-1e0b-435a-bec4-f53f53d554a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a8835391-1e0b-435a-bec4-f53f53d554a3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bf314f28-6f9f-4473-8f0c-726ab61bd710' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bf314f28-6f9f-4473-8f0c-726ab61bd710' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-c241e00d-0424-47de-832b-f428bce5fc87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c241e00d-0424-47de-832b-f428bce5fc87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea0f7f5c-e99b-4b4f-bd58-9e4d6ce183c7' class='xr-var-data-in' type='checkbox'><label for='data-ea0f7f5c-e99b-4b4f-bd58-9e4d6ce183c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    data_modified:             2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-be50fa71-4b46-4a12-b57a-20ad339a5ce3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-be50fa71-4b46-4a12-b57a-20ad339a5ce3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c46157ff-3bf3-4920-ae08-17fc9f82163f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c46157ff-3bf3-4920-ae08-17fc9f82163f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-ce45a873-9877-415e-8ce2-2353baa6faaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce45a873-9877-415e-8ce2-2353baa6faaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-437c8a9a-910b-4c81-80b6-c64ee50634b7' class='xr-var-data-in' type='checkbox'><label for='data-437c8a9a-910b-4c81-80b6-c64ee50634b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-7e692786-a2cf-4413-b043-c5828b691e6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e692786-a2cf-4413-b043-c5828b691e6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b303cb8-6d5f-47d1-9c92-8ddf3605eb4c' class='xr-var-data-in' type='checkbox'><label for='data-9b303cb8-6d5f-47d1-9c92-8ddf3605eb4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-3cc1b0b2-d807-4806-9f8e-fdc242d3b621' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cc1b0b2-d807-4806-9f8e-fdc242d3b621' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c4e6c70-cf71-4840-b9e7-024c99fc320f' class='xr-var-data-in' type='checkbox'><label for='data-6c4e6c70-cf71-4840-b9e7-024c99fc320f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -965,14 +982,14 @@ <h1>Windowed Computations<a class="headerlink" href="#windowed-computations" tit
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-836f418c-6b70-4ec1-b3c3-3af96c3cbe57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-836f418c-6b70-4ec1-b3c3-3af96c3cbe57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-588373d9-042f-464e-9143-09f7a708ef05' class='xr-var-data-in' type='checkbox'><label for='data-588373d9-042f-464e-9143-09f7a708ef05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-64d69831-6147-439b-b919-8097ca887b62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64d69831-6147-439b-b919-8097ca887b62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96981632-6aad-4b58-971d-39db743437fa' class='xr-var-data-in' type='checkbox'><label for='data-96981632-6aad-4b58-971d-39db743437fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff9a4ab7-b4e9-412c-b884-ccb3ea26083c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ff9a4ab7-b4e9-412c-b884-ccb3ea26083c' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-805f462a-fbd2-4faa-94ea-b7da4a08be29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-805f462a-fbd2-4faa-94ea-b7da4a08be29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6554ce2b-be81-4c25-a308-c92885938397' class='xr-var-data-in' type='checkbox'><label for='data-6554ce2b-be81-4c25-a308-c92885938397' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b6cce37-1727-4530-b33f-3793e1ac1a72' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0b6cce37-1727-4530-b33f-3793e1ac1a72' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-7119f19b-915b-4906-b91b-5cc8259abf40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7119f19b-915b-4906-b91b-5cc8259abf40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94e72216-6b9e-449f-9c91-2859a3743a26' class='xr-var-data-in' type='checkbox'><label for='data-94e72216-6b9e-449f-9c91-2859a3743a26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        ...,
        [9.96920997e+36, 9.96920997e+36],
-       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-e1df2815-c46d-412a-9849-dfbed9183fe0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1df2815-c46d-412a-9849-dfbed9183fe0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-954f637e-38a8-4c4c-bc5f-04ea26930a35' class='xr-var-data-in' type='checkbox'><label for='data-954f637e-38a8-4c4c-bc5f-04ea26930a35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, ..., -1.8, -1.8],
+       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-2f321e15-4129-42e4-8f4e-46a32a013a40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f321e15-4129-42e4-8f4e-46a32a013a40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef666925-87a4-4359-b846-56b247ad48d3' class='xr-var-data-in' type='checkbox'><label for='data-ef666925-87a4-4359-b846-56b247ad48d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, ..., -1.8, -1.8],
         [-1.8, -1.8, ..., -1.8, -1.8],
         ...,
         [ nan,  nan, ...,  nan,  nan],
@@ -996,7 +1013,7 @@ <h1>Windowed Computations<a class="headerlink" href="#windowed-computations" tit
         [-1.8, -1.8, ..., -1.8, -1.8],
         ...,
         [ nan,  nan, ...,  nan,  nan],
-        [ nan,  nan, ...,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db63afe0-74c4-423a-8579-3f386654cd81' class='xr-section-summary-in' type='checkbox'  ><label for='section-db63afe0-74c4-423a-8579-3f386654cd81' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fbf67a24-36bd-4db0-818c-5be493b7c1bb' class='xr-index-data-in' type='checkbox'/><label for='index-fbf67a24-36bd-4db0-818c-5be493b7c1bb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+        [ nan,  nan, ...,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d924094c-9f85-47e1-8d62-a7919f2b7900' class='xr-section-summary-in' type='checkbox'  ><label for='section-d924094c-9f85-47e1-8d62-a7919f2b7900' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-43a92d09-36b5-4921-b530-84f898a4eda9' class='xr-index-data-in' type='checkbox'/><label for='index-43a92d09-36b5-4921-b530-84f898a4eda9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1005,20 +1022,20 @@ <h1>Windowed Computations<a class="headerlink" href="#windowed-computations" tit
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-db24a6be-1955-4458-9e69-41e2d3413794' class='xr-index-data-in' type='checkbox'/><label for='index-db24a6be-1955-4458-9e69-41e2d3413794' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-38f5c9f6-9c96-40d7-a517-91e7808fa65f' class='xr-index-data-in' type='checkbox'/><label for='index-38f5c9f6-9c96-40d7-a517-91e7808fa65f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cc53c270-eba5-4475-b182-2924ab1dda59' class='xr-index-data-in' type='checkbox'/><label for='index-cc53c270-eba5-4475-b182-2924ab1dda59' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0db37e49-0383-4401-b2ec-be8c80bd70da' class='xr-index-data-in' type='checkbox'/><label for='index-0db37e49-0383-4401-b2ec-be8c80bd70da' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af6d2814-0b9b-4a85-9887-702774831e5e' class='xr-section-summary-in' type='checkbox'  ><label for='section-af6d2814-0b9b-4a85-9887-702774831e5e' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3afedb57-a77a-49da-b63d-12336c8283ce' class='xr-section-summary-in' type='checkbox'  ><label for='section-3afedb57-a77a-49da-b63d-12336c8283ce' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <section id="rolling-or-moving-windows">
-<h2>Rolling or moving windows<a class="headerlink" href="#rolling-or-moving-windows" title="Permalink to this headline">#</a></h2>
+<h2>Rolling or moving windows<a class="headerlink" href="#rolling-or-moving-windows" title="Permalink to this heading">#</a></h2>
 <p>Rolling window operations</p>
 <ol class="arabic simple">
 <li><p>can be applied along any dimension, or along multiple dimensions.</p></li>
@@ -1437,17 +1454,17 @@ <h2>Rolling or moving windows<a class="headerlink" href="#rolling-or-moving-wind
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-110d92a3-6767-474d-9da5-a9549b8e188f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-110d92a3-6767-474d-9da5-a9549b8e188f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0deb5bbe-b38c-4385-af95-059e7716ed28' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0deb5bbe-b38c-4385-af95-059e7716ed28' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-683b26c6-bacf-40d0-a9ed-8e4779e0a4f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-683b26c6-bacf-40d0-a9ed-8e4779e0a4f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bccc2e64-a75a-4f36-a326-f3bffb70f655' class='xr-var-data-in' type='checkbox'><label for='data-bccc2e64-a75a-4f36-a326-f3bffb70f655' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+    data_modified:             2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-21f4b9c5-abfe-4b84-8362-9a0e938b88bd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-21f4b9c5-abfe-4b84-8362-9a0e938b88bd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a589b70a-7e2e-4bf3-8bf8-751ac8dcda70' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a589b70a-7e2e-4bf3-8bf8-751ac8dcda70' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-46f62fcd-43c8-485c-b271-a75df6bd69d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46f62fcd-43c8-485c-b271-a75df6bd69d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-535a5947-b8a1-4372-91e5-686a07d1d57c' class='xr-var-data-in' type='checkbox'><label for='data-535a5947-b8a1-4372-91e5-686a07d1d57c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-05949160-64db-4e79-a6b4-fa22c6e3fb18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05949160-64db-4e79-a6b4-fa22c6e3fb18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b86a5c46-4bb4-4218-a172-59551f07a7f7' class='xr-var-data-in' type='checkbox'><label for='data-b86a5c46-4bb4-4218-a172-59551f07a7f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-de6c75ba-c542-4e23-955d-edc0f9d7a686' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de6c75ba-c542-4e23-955d-edc0f9d7a686' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60881a68-220c-43a7-a00e-ee536f2cfd9a' class='xr-var-data-in' type='checkbox'><label for='data-60881a68-220c-43a7-a00e-ee536f2cfd9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-6db0486a-d3cb-4e76-8b10-c078eb2c092f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6db0486a-d3cb-4e76-8b10-c078eb2c092f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fd40fe4-0d47-4942-8360-7b9e5ebf4c17' class='xr-var-data-in' type='checkbox'><label for='data-1fd40fe4-0d47-4942-8360-7b9e5ebf4c17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-c1e32134-a990-4cd3-b0da-8feea1152a7f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1e32134-a990-4cd3-b0da-8feea1152a7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d11e240-f6dc-4638-a9e1-41079383202e' class='xr-var-data-in' type='checkbox'><label for='data-8d11e240-f6dc-4638-a9e1-41079383202e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -1462,11 +1479,11 @@ <h2>Rolling or moving windows<a class="headerlink" href="#rolling-or-moving-wind
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-21dcd389-279c-44ff-a7fe-1711be531f18' class='xr-section-summary-in' type='checkbox'  checked><label for='section-21dcd389-279c-44ff-a7fe-1711be531f18' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-41d93109-8942-4e5e-847b-fd07ebb07ffe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41d93109-8942-4e5e-847b-fd07ebb07ffe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2d7c784-2922-4e20-9951-882c3c0f801b' class='xr-var-data-in' type='checkbox'><label for='data-a2d7c784-2922-4e20-9951-882c3c0f801b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan],
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6665ddbc-7461-4116-9582-1241c55d5063' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6665ddbc-7461-4116-9582-1241c55d5063' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a05e95b8-de93-4784-ba3c-01b082cb0609' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a05e95b8-de93-4784-ba3c-01b082cb0609' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37614bae-a7b2-423a-8aa1-9beab71025cc' class='xr-var-data-in' type='checkbox'><label for='data-37614bae-a7b2-423a-8aa1-9beab71025cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[nan, nan],
        [nan, nan],
        ...,
        [nan, nan],
-       [nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9886852f-43b0-427f-bb35-ee27d2be0316' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9886852f-43b0-427f-bb35-ee27d2be0316' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86a14608-a5d3-4d80-82aa-1d867124787b' class='xr-var-data-in' type='checkbox'><label for='data-86a14608-a5d3-4d80-82aa-1d867124787b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],
+       [nan, nan]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-26a4f3ed-3d10-47f4-ab8c-2274fbb29425' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26a4f3ed-3d10-47f4-ab8c-2274fbb29425' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b7e77784-2bb5-418e-bbac-d58a514a9921' class='xr-var-data-in' type='checkbox'><label for='data-b7e77784-2bb5-418e-bbac-d58a514a9921' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],
         [nan, nan, ..., nan, nan],
         ...,
         [nan, nan, ..., nan, nan],
@@ -1490,14 +1507,14 @@ <h2>Rolling or moving windows<a class="headerlink" href="#rolling-or-moving-wind
         [nan, nan, ..., nan, nan],
         ...,
         [nan, nan, ..., nan, nan],
-        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-441d979b-1a66-4297-a28a-2402d92c6840' class='xr-section-summary-in' type='checkbox'  ><label for='section-441d979b-1a66-4297-a28a-2402d92c6840' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f7936fb4-6e92-4252-89f0-70a28492b551' class='xr-index-data-in' type='checkbox'/><label for='index-f7936fb4-6e92-4252-89f0-70a28492b551' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d55f6b1d-1edc-42b4-8ede-f19deb905de0' class='xr-section-summary-in' type='checkbox'  ><label for='section-d55f6b1d-1edc-42b4-8ede-f19deb905de0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c7d77156-1658-432d-a472-a2b2cdfc500b' class='xr-index-data-in' type='checkbox'/><label for='index-c7d77156-1658-432d-a472-a2b2cdfc500b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0c143f87-2627-4e71-a17d-8ca248b88fa2' class='xr-index-data-in' type='checkbox'/><label for='index-0c143f87-2627-4e71-a17d-8ca248b88fa2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f6672b0d-cf7e-46f4-bc06-ac12d6c293a9' class='xr-index-data-in' type='checkbox'/><label for='index-f6672b0d-cf7e-46f4-bc06-ac12d6c293a9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1506,10 +1523,10 @@ <h2>Rolling or moving windows<a class="headerlink" href="#rolling-or-moving-wind
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ee3743ac-1a6f-45b7-8834-c0c752acc0f4' class='xr-index-data-in' type='checkbox'/><label for='index-ee3743ac-1a6f-45b7-8834-c0c752acc0f4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b7b50d31-3cd0-4fc4-a74e-abbe6c6a3c3f' class='xr-index-data-in' type='checkbox'/><label for='index-b7b50d31-3cd0-4fc4-a74e-abbe6c6a3c3f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-332c1467-f187-4c45-95ff-84440213ae46' class='xr-section-summary-in' type='checkbox'  ><label for='section-332c1467-f187-4c45-95ff-84440213ae46' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e406d357-87d2-4020-873e-08135809fd18' class='xr-section-summary-in' type='checkbox'  ><label for='section-e406d357-87d2-4020-873e-08135809fd18' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1520,10 +1537,10 @@ <h2>Rolling or moving windows<a class="headerlink" href="#rolling-or-moving-wind
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.legend.Legend at 0x7f17a4e80210&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.legend.Legend at 0x7fd63b7f46d0&gt;
 </pre></div>
 </div>
-<img alt="../_images/0aa642b5bb67fe59c9396d5da47465306c960fde2688cfd15c025296d3317ad5.png" src="../_images/0aa642b5bb67fe59c9396d5da47465306c960fde2688cfd15c025296d3317ad5.png" />
+<img alt="../_images/3932baedbee30f69546d16ebf2602d94e12304576085e59003f45c189d571b18.png" src="../_images/3932baedbee30f69546d16ebf2602d94e12304576085e59003f45c189d571b18.png" />
 </div>
 </div>
 <p>We can apply rolling mean along multiple dimensions as a 2D smoother in (lat, lon). Here is an example of a 5-point running mean applied along both the <code class="docutils literal notranslate"><span class="pre">lat</span></code> and <code class="docutils literal notranslate"><span class="pre">lon</span></code> dimensions</p>
@@ -1541,12 +1558,12 @@ <h2>Rolling or moving windows<a class="headerlink" href="#rolling-or-moving-wind
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/e1ab0a37428c33527e403df1f5696ecee05876e3c8883535b08e54c159011bae.png" src="../_images/e1ab0a37428c33527e403df1f5696ecee05876e3c8883535b08e54c159011bae.png" />
+<img alt="../_images/8434e2c77123cf29feab25b48f397e6f235448d4eca8d0393d338f57cf35d1a0.png" src="../_images/8434e2c77123cf29feab25b48f397e6f235448d4eca8d0393d338f57cf35d1a0.png" />
 </div>
 </div>
 <p>Note the addition of NaNs at the data boundaries and near continental boundaries.</p>
 <section id="custom-reductions">
-<h3>Custom reductions<a class="headerlink" href="#custom-reductions" title="Permalink to this headline">#</a></h3>
+<h3>Custom reductions<a class="headerlink" href="#custom-reductions" title="Permalink to this heading">#</a></h3>
 <p>While common reductions are implemented by default, sometimes it is useful to apply our own windowed operations. For these uses, Xarray provides the <code class="docutils literal notranslate"><span class="pre">construct</span></code> methods for <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.core.rolling.DataArrayRolling.construct.html">DataArray.rolling</a> and <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.core.rolling.DatasetRolling.construct.html">Dataset.rolling</a>.</p>
 <p>For rolling over a dimension <code class="docutils literal notranslate"><span class="pre">time</span></code> with a window size <code class="docutils literal notranslate"><span class="pre">N</span></code>, <code class="docutils literal notranslate"><span class="pre">construct</span></code> adds a new dimension (with user-provided name) of size <code class="docutils literal notranslate"><span class="pre">N</span></code>.</p>
 <p>We illustrate with a simple example array:</p>
@@ -1924,7 +1941,7 @@ <h3>Custom reductions<a class="headerlink" href="#custom-reductions" title="Perm
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 10)&gt;
 0 1 2 3 4 5 6 7 8 9
 Coordinates:
-  * time     (time) int64 0 1 2 3 4 5 6 7 8 9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-37ec0538-137a-48f6-ba1e-565487d92ed8' class='xr-array-in' type='checkbox' ><label for='section-37ec0538-137a-48f6-ba1e-565487d92ed8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9</span></div><div class='xr-array-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></div></li><li class='xr-section-item'><input id='section-0730bee9-c227-4f30-86a1-2fe869af3767' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0730bee9-c227-4f30-86a1-2fe869af3767' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-1a7337f0-f952-40fb-a67a-5dfc6b27a92d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1a7337f0-f952-40fb-a67a-5dfc6b27a92d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f808a50c-2ee3-4e69-944a-022b785a6476' class='xr-var-data-in' type='checkbox'><label for='data-f808a50c-2ee3-4e69-944a-022b785a6476' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b014a889-1c0e-4c78-8f92-f5bfc6eda292' class='xr-section-summary-in' type='checkbox'  ><label for='section-b014a889-1c0e-4c78-8f92-f5bfc6eda292' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3e3112ad-aae4-4002-85f7-ec394efa706a' class='xr-index-data-in' type='checkbox'/><label for='index-3e3112ad-aae4-4002-85f7-ec394efa706a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fd2f6432-c128-41c9-ba97-e851908ee2c1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fd2f6432-c128-41c9-ba97-e851908ee2c1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+  * time     (time) int64 0 1 2 3 4 5 6 7 8 9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-509d86ba-2482-4fcc-b40a-9d1dba751fbf' class='xr-array-in' type='checkbox' ><label for='section-509d86ba-2482-4fcc-b40a-9d1dba751fbf' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9</span></div><div class='xr-array-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></div></li><li class='xr-section-item'><input id='section-577c9140-e0f7-4cd2-81ae-5631aab81e5f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-577c9140-e0f7-4cd2-81ae-5631aab81e5f' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-277956aa-70b5-4b7e-a366-2e774ba0537f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-277956aa-70b5-4b7e-a366-2e774ba0537f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b89dd0f-a736-489c-841d-3bab84c51d55' class='xr-var-data-in' type='checkbox'><label for='data-3b89dd0f-a736-489c-841d-3bab84c51d55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c382f4f-c746-4fab-bec2-6a960c95296b' class='xr-section-summary-in' type='checkbox'  ><label for='section-5c382f4f-c746-4fab-bec2-6a960c95296b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ea0b4d28-fccc-4d47-bd0f-19698d83a5a6' class='xr-index-data-in' type='checkbox'/><label for='index-ea0b4d28-fccc-4d47-bd0f-19698d83a5a6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8835c5d7-c2f4-4fb0-b666-b0279d6c7e66' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8835c5d7-c2f4-4fb0-b666-b0279d6c7e66' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>We call <code class="docutils literal notranslate"><span class="pre">construct</span></code> and provide a name for the new dimension: <code class="docutils literal notranslate"><span class="pre">window</span></code></p>
 <div class="cell docutils container">
@@ -2302,11 +2319,11 @@ <h3>Custom reductions<a class="headerlink" href="#custom-reductions" title="Perm
 nan nan 0.0 1.0 2.0 nan 0.0 1.0 2.0 3.0 ... 7.0 8.0 9.0 nan 7.0 8.0 9.0 nan nan
 Coordinates:
   * time     (time) int64 0 1 2 3 4 5 6 7 8 9
-Dimensions without coordinates: window</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>window</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e995256b-5a08-4891-9082-9ac19104b646' class='xr-array-in' type='checkbox' ><label for='section-e995256b-5a08-4891-9082-9ac19104b646' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan 0.0 1.0 2.0 nan 0.0 1.0 ... 8.0 9.0 nan 7.0 8.0 9.0 nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, ...,  1.,  2.],
+Dimensions without coordinates: window</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>window</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8ad2af80-9073-418d-8131-db66baa7e784' class='xr-array-in' type='checkbox' ><label for='section-8ad2af80-9073-418d-8131-db66baa7e784' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan 0.0 1.0 2.0 nan 0.0 1.0 ... 8.0 9.0 nan 7.0 8.0 9.0 nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, ...,  1.,  2.],
        [nan,  0., ...,  2.,  3.],
        ...,
        [ 6.,  7., ...,  9., nan],
-       [ 7.,  8., ..., nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-578b0c2d-13eb-40a2-bb4c-5eded7ba2c31' class='xr-section-summary-in' type='checkbox'  checked><label for='section-578b0c2d-13eb-40a2-bb4c-5eded7ba2c31' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-59855f35-d03f-408b-84ff-32d301f032b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-59855f35-d03f-408b-84ff-32d301f032b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baeffa07-41f1-4636-b724-643c63e7a19e' class='xr-var-data-in' type='checkbox'><label for='data-baeffa07-41f1-4636-b724-643c63e7a19e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-431f1050-9b9f-48cb-91d7-5a0899dbee69' class='xr-section-summary-in' type='checkbox'  ><label for='section-431f1050-9b9f-48cb-91d7-5a0899dbee69' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cd78eb49-a2e9-497a-ace2-9bdd9c909152' class='xr-index-data-in' type='checkbox'/><label for='index-cd78eb49-a2e9-497a-ace2-9bdd9c909152' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db674e03-a38f-4d25-8d42-bd4a4d13a645' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-db674e03-a38f-4d25-8d42-bd4a4d13a645' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [ 7.,  8., ..., nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-78cdf54d-b5ba-4332-ba5f-f49f835c843c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-78cdf54d-b5ba-4332-ba5f-f49f835c843c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-fd28fc80-e023-4f41-b7bb-9af50250c426' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd28fc80-e023-4f41-b7bb-9af50250c426' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c56df98-3726-4f87-b760-085471916119' class='xr-var-data-in' type='checkbox'><label for='data-9c56df98-3726-4f87-b760-085471916119' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e9eb57b2-938e-4be5-a114-9e9c79c15b56' class='xr-section-summary-in' type='checkbox'  ><label for='section-e9eb57b2-938e-4be5-a114-9e9c79c15b56' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-70e2b9c3-3934-4d60-873c-eeb4a9b1d5f8' class='xr-index-data-in' type='checkbox'/><label for='index-70e2b9c3-3934-4d60-873c-eeb4a9b1d5f8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da107a77-776d-45c6-a0be-e545eae5e316' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-da107a77-776d-45c6-a0be-e545eae5e316' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="exercise admonition" id="rolling-center">
 
@@ -2331,7 +2348,7 @@ <h3>Custom reductions<a class="headerlink" href="#custom-reductions" title="Perm
 </section>
 </section>
 <section id="coarsening">
-<h2>Coarsening<a class="headerlink" href="#coarsening" title="Permalink to this headline">#</a></h2>
+<h2>Coarsening<a class="headerlink" href="#coarsening" title="Permalink to this heading">#</a></h2>
 <p><code class="docutils literal notranslate"><span class="pre">coarsen</span></code> does something similar to <code class="docutils literal notranslate"><span class="pre">rolling</span></code>, but allows us to work with discrete <em>non-overlapping</em> blocks of data.</p>
 <p>You will need to specify <code class="docutils literal notranslate"><span class="pre">boundary</span></code> if the length of the dimension is not a multiple of the window size (“block size”). You can choose to</p>
 <ol class="arabic simple">
@@ -2367,38 +2384,38 @@ <h2>Coarsening<a class="headerlink" href="#coarsening" title="Permalink to this
 <span class="g g-Whitespace">      </span><span class="mi">1</span> <span class="c1"># we expect an error here because lat has size 89, which is not divisible by block size 5</span>
 <span class="ne">----&gt; </span><span class="mi">2</span> <span class="n">coarse</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
 
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/rolling.py:1098,</span> in <span class="ni">DatasetCoarsen._reduce_method.&lt;locals&gt;.wrapped_func</span><span class="nt">(self, keep_attrs, **kwargs)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1096</span> <span class="n">reduced</span> <span class="o">=</span> <span class="p">{}</span>
-<span class="g g-Whitespace">   </span><span class="mi">1097</span> <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">da</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">obj</span><span class="o">.</span><span class="n">data_vars</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
-<span class="ne">-&gt; </span><span class="mi">1098</span>     <span class="n">reduced</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">variable</span><span class="o">.</span><span class="n">coarsen</span><span class="p">(</span>
-<span class="g g-Whitespace">   </span><span class="mi">1099</span>         <span class="bp">self</span><span class="o">.</span><span class="n">windows</span><span class="p">,</span>
-<span class="g g-Whitespace">   </span><span class="mi">1100</span>         <span class="n">func</span><span class="p">,</span>
-<span class="g g-Whitespace">   </span><span class="mi">1101</span>         <span class="bp">self</span><span class="o">.</span><span class="n">boundary</span><span class="p">,</span>
-<span class="g g-Whitespace">   </span><span class="mi">1102</span>         <span class="bp">self</span><span class="o">.</span><span class="n">side</span><span class="p">,</span>
-<span class="g g-Whitespace">   </span><span class="mi">1103</span>         <span class="n">keep_attrs</span><span class="o">=</span><span class="n">keep_attrs</span><span class="p">,</span>
-<span class="g g-Whitespace">   </span><span class="mi">1104</span>         <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
-<span class="g g-Whitespace">   </span><span class="mi">1105</span>     <span class="p">)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1107</span> <span class="n">coords</span> <span class="o">=</span> <span class="p">{}</span>
-<span class="g g-Whitespace">   </span><span class="mi">1108</span> <span class="k">for</span> <span class="n">c</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">obj</span><span class="o">.</span><span class="n">coords</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
-<span class="g g-Whitespace">   </span><span class="mi">1109</span>     <span class="c1"># variable.coarsen returns variables not containing the window dims</span>
-<span class="g g-Whitespace">   </span><span class="mi">1110</span>     <span class="c1"># unchanged (maybe removes attrs)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/variable.py:2515,</span> in <span class="ni">Variable.coarsen</span><span class="nt">(self, windows, func, boundary, side, keep_attrs, **kwargs)</span>
-<span class="g g-Whitespace">   </span><span class="mi">2512</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">windows</span><span class="p">:</span>
-<span class="g g-Whitespace">   </span><span class="mi">2513</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_replace</span><span class="p">(</span><span class="n">attrs</span><span class="o">=</span><span class="n">_attrs</span><span class="p">)</span>
-<span class="ne">-&gt; </span><span class="mi">2515</span> <span class="n">reshaped</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">coarsen_reshape</span><span class="p">(</span><span class="n">windows</span><span class="p">,</span> <span class="n">boundary</span><span class="p">,</span> <span class="n">side</span><span class="p">)</span>
-<span class="g g-Whitespace">   </span><span class="mi">2516</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">func</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
-<span class="g g-Whitespace">   </span><span class="mi">2517</span>     <span class="n">name</span> <span class="o">=</span> <span class="n">func</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/variable.py:2551,</span> in <span class="ni">Variable.coarsen_reshape</span><span class="nt">(self, windows, boundary, side)</span>
-<span class="g g-Whitespace">   </span><span class="mi">2549</span> <span class="k">if</span> <span class="n">boundary</span><span class="p">[</span><span class="n">d</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;exact&quot;</span><span class="p">:</span>
-<span class="g g-Whitespace">   </span><span class="mi">2550</span>     <span class="k">if</span> <span class="n">n</span> <span class="o">*</span> <span class="n">window</span> <span class="o">!=</span> <span class="n">size</span><span class="p">:</span>
-<span class="ne">-&gt; </span><span class="mi">2551</span>         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
-<span class="g g-Whitespace">   </span><span class="mi">2552</span>             <span class="sa">f</span><span class="s2">&quot;Could not coarsen a dimension of size </span><span class="si">{</span><span class="n">size</span><span class="si">}</span><span class="s2"> with &quot;</span>
-<span class="g g-Whitespace">   </span><span class="mi">2553</span>             <span class="sa">f</span><span class="s2">&quot;window </span><span class="si">{</span><span class="n">window</span><span class="si">}</span><span class="s2"> and boundary=&#39;exact&#39;. Try a different &#39;boundary&#39; option.&quot;</span>
-<span class="g g-Whitespace">   </span><span class="mi">2554</span>         <span class="p">)</span>
-<span class="g g-Whitespace">   </span><span class="mi">2555</span> <span class="k">elif</span> <span class="n">boundary</span><span class="p">[</span><span class="n">d</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;trim&quot;</span><span class="p">:</span>
-<span class="g g-Whitespace">   </span><span class="mi">2556</span>     <span class="k">if</span> <span class="n">side</span><span class="p">[</span><span class="n">d</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;left&quot;</span><span class="p">:</span>
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/rolling.py:1213,</span> in <span class="ni">DatasetCoarsen._reduce_method.&lt;locals&gt;.wrapped_func</span><span class="nt">(self, keep_attrs, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1211</span> <span class="n">reduced</span> <span class="o">=</span> <span class="p">{}</span>
+<span class="g g-Whitespace">   </span><span class="mi">1212</span> <span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">da</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">obj</span><span class="o">.</span><span class="n">data_vars</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+<span class="ne">-&gt; </span><span class="mi">1213</span>     <span class="n">reduced</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">da</span><span class="o">.</span><span class="n">variable</span><span class="o">.</span><span class="n">coarsen</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">1214</span>         <span class="bp">self</span><span class="o">.</span><span class="n">windows</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1215</span>         <span class="n">func</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1216</span>         <span class="bp">self</span><span class="o">.</span><span class="n">boundary</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1217</span>         <span class="bp">self</span><span class="o">.</span><span class="n">side</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1218</span>         <span class="n">keep_attrs</span><span class="o">=</span><span class="n">keep_attrs</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1219</span>         <span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
+<span class="g g-Whitespace">   </span><span class="mi">1220</span>     <span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">1222</span> <span class="n">coords</span> <span class="o">=</span> <span class="p">{}</span>
+<span class="g g-Whitespace">   </span><span class="mi">1223</span> <span class="k">for</span> <span class="n">c</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">obj</span><span class="o">.</span><span class="n">coords</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
+<span class="g g-Whitespace">   </span><span class="mi">1224</span>     <span class="c1"># variable.coarsen returns variables not containing the window dims</span>
+<span class="g g-Whitespace">   </span><span class="mi">1225</span>     <span class="c1"># unchanged (maybe removes attrs)</span>
+
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/variable.py:2221,</span> in <span class="ni">Variable.coarsen</span><span class="nt">(self, windows, func, boundary, side, keep_attrs, **kwargs)</span>
+<span class="g g-Whitespace">   </span><span class="mi">2218</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">windows</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">2219</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_replace</span><span class="p">(</span><span class="n">attrs</span><span class="o">=</span><span class="n">_attrs</span><span class="p">)</span>
+<span class="ne">-&gt; </span><span class="mi">2221</span> <span class="n">reshaped</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">coarsen_reshape</span><span class="p">(</span><span class="n">windows</span><span class="p">,</span> <span class="n">boundary</span><span class="p">,</span> <span class="n">side</span><span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">2222</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">func</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+<span class="g g-Whitespace">   </span><span class="mi">2223</span>     <span class="n">name</span> <span class="o">=</span> <span class="n">func</span>
+
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/variable.py:2257,</span> in <span class="ni">Variable.coarsen_reshape</span><span class="nt">(self, windows, boundary, side)</span>
+<span class="g g-Whitespace">   </span><span class="mi">2255</span> <span class="k">if</span> <span class="n">boundary</span><span class="p">[</span><span class="n">d</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;exact&quot;</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">2256</span>     <span class="k">if</span> <span class="n">n</span> <span class="o">*</span> <span class="n">window</span> <span class="o">!=</span> <span class="n">size</span><span class="p">:</span>
+<span class="ne">-&gt; </span><span class="mi">2257</span>         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+<span class="g g-Whitespace">   </span><span class="mi">2258</span>             <span class="sa">f</span><span class="s2">&quot;Could not coarsen a dimension of size </span><span class="si">{</span><span class="n">size</span><span class="si">}</span><span class="s2"> with &quot;</span>
+<span class="g g-Whitespace">   </span><span class="mi">2259</span>             <span class="sa">f</span><span class="s2">&quot;window </span><span class="si">{</span><span class="n">window</span><span class="si">}</span><span class="s2"> and boundary=&#39;exact&#39;. Try a different &#39;boundary&#39; option.&quot;</span>
+<span class="g g-Whitespace">   </span><span class="mi">2260</span>         <span class="p">)</span>
+<span class="g g-Whitespace">   </span><span class="mi">2261</span> <span class="k">elif</span> <span class="n">boundary</span><span class="p">[</span><span class="n">d</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;trim&quot;</span><span class="p">:</span>
+<span class="g g-Whitespace">   </span><span class="mi">2262</span>     <span class="k">if</span> <span class="n">side</span><span class="p">[</span><span class="n">d</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;left&quot;</span><span class="p">:</span>
 
 <span class="ne">ValueError</span>: Could not coarsen a dimension of size 89 with window 5 and boundary=&#39;exact&#39;. Try a different &#39;boundary&#39; option.
 </pre></div>
@@ -2799,18 +2816,18 @@ <h2>Coarsening<a class="headerlink" href="#coarsening" title="Permalink to this
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-262dc027-77db-42a8-8274-edffdf24b25b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-262dc027-77db-42a8-8274-edffdf24b25b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 17</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-01123f74-74e8-4a9e-82c1-ba6238092f2b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-01123f74-74e8-4a9e-82c1-ba6238092f2b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>84.0 74.0 64.0 ... -66.0 -76.0</div><input id='attrs-8df8167a-4f07-4213-a5dc-ddeaca5c4094' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8df8167a-4f07-4213-a5dc-ddeaca5c4094' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c723dfe-d7ab-4ba9-9320-52d205f9b352' class='xr-var-data-in' type='checkbox'><label for='data-0c723dfe-d7ab-4ba9-9320-52d205f9b352' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 84.,  74.,  64.,  54.,  44.,  34.,  24.,  14.,   4.,  -6., -16., -26.,
-       -36., -46., -56., -66., -76.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.0 14.0 24.0 ... 334.0 344.0 354.0</div><input id='attrs-bf6c5478-0da4-49ec-b584-3b18f6b130f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf6c5478-0da4-49ec-b584-3b18f6b130f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-620da75a-9c44-4069-93bc-d5af114cbb42' class='xr-var-data-in' type='checkbox'><label for='data-620da75a-9c44-4069-93bc-d5af114cbb42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  4.,  14.,  24.,  34.,  44.,  54.,  64.,  74.,  84.,  94., 104., 114.,
+    data_modified:             2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-169cbe81-3424-4846-934c-c9f04ef3bdf2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-169cbe81-3424-4846-934c-c9f04ef3bdf2' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li><li><span class='xr-has-index'>lat</span>: 17</li><li><span class='xr-has-index'>lon</span>: 36</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-58157710-1446-435d-85ba-08f9f646a87e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-58157710-1446-435d-85ba-08f9f646a87e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>84.0 74.0 64.0 ... -66.0 -76.0</div><input id='attrs-d56b75f8-435e-4b84-9f68-39257cf3781b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d56b75f8-435e-4b84-9f68-39257cf3781b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1868bf15-d842-4ca2-81b3-f8e46b81e80d' class='xr-var-data-in' type='checkbox'><label for='data-1868bf15-d842-4ca2-81b3-f8e46b81e80d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 84.,  74.,  64.,  54.,  44.,  34.,  24.,  14.,   4.,  -6., -16., -26.,
+       -36., -46., -56., -66., -76.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.0 14.0 24.0 ... 334.0 344.0 354.0</div><input id='attrs-c7754731-ef3b-4adc-a041-24f8ec9c1b58' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7754731-ef3b-4adc-a041-24f8ec9c1b58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bd64f79-1f88-4ab0-b1ce-24bb8903d69a' class='xr-var-data-in' type='checkbox'><label for='data-4bd64f79-1f88-4ab0-b1ce-24bb8903d69a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  4.,  14.,  24.,  34.,  44.,  54.,  64.,  74.,  84.,  94., 104., 114.,
        124., 134., 144., 154., 164., 174., 184., 194., 204., 214., 224., 234.,
        244., 254., 264., 274., 284., 294., 304., 314., 324., 334., 344., 354.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-02cbf3b7-b5d3-42a5-8414-b8004789df20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02cbf3b7-b5d3-42a5-8414-b8004789df20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef406f99-ee94-4f01-98ef-6e27e1d6ce0e' class='xr-var-data-in' type='checkbox'><label for='data-ef406f99-ee94-4f01-98ef-6e27e1d6ce0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-823fe331-4c3d-46e9-a798-e952368d69ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-823fe331-4c3d-46e9-a798-e952368d69ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-159e5644-fefc-4b81-bfe5-b82532818640' class='xr-var-data-in' type='checkbox'><label for='data-159e5644-fefc-4b81-bfe5-b82532818640' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb6ddd0b-aa41-4886-9b6f-d936345a0203' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb6ddd0b-aa41-4886-9b6f-d936345a0203' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-17941cb9-ec6a-48b2-b925-6138e7f699fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17941cb9-ec6a-48b2-b925-6138e7f699fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e746098b-b7e9-45c4-89e5-64ac382d3a11' class='xr-var-data-in' type='checkbox'><label for='data-e746098b-b7e9-45c4-89e5-64ac382d3a11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4932ce67-6c1d-4d48-a17a-4a9db0344b17' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4932ce67-6c1d-4d48-a17a-4a9db0344b17' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-07476062-369c-4703-8a05-8d1fb610cd53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07476062-369c-4703-8a05-8d1fb610cd53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fa1f4f3-2e8d-45a3-8e4d-88c12e77342a' class='xr-var-data-in' type='checkbox'><label for='data-1fa1f4f3-2e8d-45a3-8e4d-88c12e77342a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        ...,
        [9.96920997e+36, 9.96920997e+36],
-       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.757 -1.78 -1.8 ... -1.685 nan</div><input id='attrs-fd7e28a9-8429-4fe4-b748-d57d478f0625' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd7e28a9-8429-4fe4-b748-d57d478f0625' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-486e591c-3b63-4252-b460-c7dc51a6cb72' class='xr-var-data-in' type='checkbox'><label for='data-486e591c-3b63-4252-b460-c7dc51a6cb72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.7565019 , -1.7795367 , ..., -1.8000001 , -1.8       ],
+       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.757 -1.78 -1.8 ... -1.685 nan</div><input id='attrs-e5741c3a-d9c5-4144-9f14-e9480cc84639' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e5741c3a-d9c5-4144-9f14-e9480cc84639' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76275d0e-a527-413f-8e25-1fee9060be32' class='xr-var-data-in' type='checkbox'><label for='data-76275d0e-a527-413f-8e25-1fee9060be32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.7565019 , -1.7795367 , ..., -1.8000001 , -1.8       ],
         [ 1.869339  ,  3.281538  , ..., -1.7562954 , -1.0534234 ],
         ...,
         [ 0.10217538,  0.01678095, ..., -0.36180606, -0.13276494],
@@ -2835,20 +2852,20 @@ <h2>Coarsening<a class="headerlink" href="#coarsening" title="Permalink to this
         ...,
         [-1.1938878 , -1.3145272 , ..., -1.5834175 , -1.5801631 ],
         [        nan,         nan, ..., -1.6852833 ,         nan]]],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-93491023-5e4a-4634-92e8-10f53dda287c' class='xr-section-summary-in' type='checkbox'  ><label for='section-93491023-5e4a-4634-92e8-10f53dda287c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ea42395f-c100-4183-ab3f-fc6982f915da' class='xr-index-data-in' type='checkbox'/><label for='index-ea42395f-c100-4183-ab3f-fc6982f915da' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 84.0,  74.0,  64.0,  54.0,  44.0,  34.0,  24.0,  14.0,   4.0,  -6.0,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ed80ad5-e6e9-44d9-ab4b-6507dc38c11c' class='xr-section-summary-in' type='checkbox'  ><label for='section-7ed80ad5-e6e9-44d9-ab4b-6507dc38c11c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0f191307-44c1-4c06-be85-240ac6949346' class='xr-index-data-in' type='checkbox'/><label for='index-0f191307-44c1-4c06-be85-240ac6949346' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 84.0,  74.0,  64.0,  54.0,  44.0,  34.0,  24.0,  14.0,   4.0,  -6.0,
        -16.0, -26.0, -36.0, -46.0, -56.0, -66.0, -76.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0a272fb6-48c1-489a-b1a6-20cd805eceb1' class='xr-index-data-in' type='checkbox'/><label for='index-0a272fb6-48c1-489a-b1a6-20cd805eceb1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  4.0,  14.0,  24.0,  34.0,  44.0,  54.0,  64.0,  74.0,  84.0,  94.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-333b7ed6-b8c1-4283-8125-658b5bca5858' class='xr-index-data-in' type='checkbox'/><label for='index-333b7ed6-b8c1-4283-8125-658b5bca5858' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  4.0,  14.0,  24.0,  34.0,  44.0,  54.0,  64.0,  74.0,  84.0,  94.0,
        104.0, 114.0, 124.0, 134.0, 144.0, 154.0, 164.0, 174.0, 184.0, 194.0,
        204.0, 214.0, 224.0, 234.0, 244.0, 254.0, 264.0, 274.0, 284.0, 294.0,
        304.0, 314.0, 324.0, 334.0, 344.0, 354.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-03e93f03-9eb7-4da6-96d1-5eb8d7aa75d8' class='xr-index-data-in' type='checkbox'/><label for='index-03e93f03-9eb7-4da6-96d1-5eb8d7aa75d8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3609e9fd-7c3d-4f00-bb94-0bdb3e78be5b' class='xr-index-data-in' type='checkbox'/><label for='index-3609e9fd-7c3d-4f00-bb94-0bdb3e78be5b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af598677-08be-40b5-9950-807dac2e07e1' class='xr-section-summary-in' type='checkbox'  ><label for='section-af598677-08be-40b5-9950-807dac2e07e1' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4255c7df-b695-4cd3-a889-706c10deeec3' class='xr-section-summary-in' type='checkbox'  ><label for='section-4255c7df-b695-4cd3-a889-706c10deeec3' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2857,11 +2874,11 @@ <h2>Coarsening<a class="headerlink" href="#coarsening" title="Permalink to this
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/f29c416c2a6e14286615b25f7fd961dedfcfed37eb82b8f2010859620948b129.png" src="../_images/f29c416c2a6e14286615b25f7fd961dedfcfed37eb82b8f2010859620948b129.png" />
+<img alt="../_images/19be0c20c3bca6a5202bac2d3ea112ddee7414cb2b280f922676935ff129b24b.png" src="../_images/19be0c20c3bca6a5202bac2d3ea112ddee7414cb2b280f922676935ff129b24b.png" />
 </div>
 </div>
 <section id="id1">
-<h3>Custom reductions<a class="headerlink" href="#id1" title="Permalink to this headline">#</a></h3>
+<h3>Custom reductions<a class="headerlink" href="#id1" title="Permalink to this heading">#</a></h3>
 <p>Like <code class="docutils literal notranslate"><span class="pre">rolling</span></code>, <code class="docutils literal notranslate"><span class="pre">coarsen</span></code> also provides a <code class="docutils literal notranslate"><span class="pre">construct</span></code> method for custom block operations.</p>
 <div class="admonition tip">
 <p class="admonition-title">Tip</p>
@@ -3246,10 +3263,10 @@ <h3>Custom reductions<a class="headerlink" href="#id1" title="Permalink to this
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 24)&gt;
 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
 Coordinates:
-  * time     (time) int64 1 2 3 4 5 6 7 8 9 10 ... 15 16 17 18 19 20 21 22 23 24</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 24</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-844a5317-e275-45b9-a46c-bf35733b33e3' class='xr-array-in' type='checkbox' ><label for='section-844a5317-e275-45b9-a46c-bf35733b33e3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([ 1,  2, ..., 11, 12])</pre></div></div></li><li class='xr-section-item'><input id='section-6d66a03e-fc6d-4078-a020-0ed61e91e2f6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6d66a03e-fc6d-4078-a020-0ed61e91e2f6' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 19 20 21 22 23 24</div><input id='attrs-d7966248-cdf4-4bc6-aef2-cadf20920178' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d7966248-cdf4-4bc6-aef2-cadf20920178' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d6b4d3e-f351-4f91-bae9-c80d7f9567a0' class='xr-var-data-in' type='checkbox'><label for='data-0d6b4d3e-f351-4f91-bae9-c80d7f9567a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
-       19, 20, 21, 22, 23, 24])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f8d9ae77-5af2-48d6-8719-ff1f37964c18' class='xr-section-summary-in' type='checkbox'  ><label for='section-f8d9ae77-5af2-48d6-8719-ff1f37964c18' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9b5f595a-72e7-41fa-ab3a-6fa2e85604cd' class='xr-index-data-in' type='checkbox'/><label for='index-9b5f595a-72e7-41fa-ab3a-6fa2e85604cd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
+  * time     (time) int64 1 2 3 4 5 6 7 8 9 10 ... 15 16 17 18 19 20 21 22 23 24</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 24</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dca597de-e3fc-44a2-a62c-6e2016cde678' class='xr-array-in' type='checkbox' ><label for='section-dca597de-e3fc-44a2-a62c-6e2016cde678' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([ 1,  2, ..., 11, 12])</pre></div></div></li><li class='xr-section-item'><input id='section-9468436c-5cac-4bfb-89ea-ce7624064ebe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9468436c-5cac-4bfb-89ea-ce7624064ebe' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 19 20 21 22 23 24</div><input id='attrs-48f41296-9584-447e-bf8b-0fd9098f0dd7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48f41296-9584-447e-bf8b-0fd9098f0dd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b23f0cc-f5aa-48fe-9091-87b9aeb23fa6' class='xr-var-data-in' type='checkbox'><label for='data-6b23f0cc-f5aa-48fe-9091-87b9aeb23fa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
+       19, 20, 21, 22, 23, 24])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-39308808-2377-4c64-818b-58ca46687a5f' class='xr-section-summary-in' type='checkbox'  ><label for='section-39308808-2377-4c64-818b-58ca46687a5f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-38dfdff8-8303-4ccd-95b3-ff3ece2d39a2' class='xr-index-data-in' type='checkbox'/><label for='index-38dfdff8-8303-4ccd-95b3-ff3ece2d39a2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
        19, 20, 21, 22, 23, 24],
-      dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc1bc85c-2a2c-476a-a15a-2f3dbe1b1ad7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cc1bc85c-2a2c-476a-a15a-2f3dbe1b1ad7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f9df357b-638f-4a2c-a515-119f75e0e5c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f9df357b-638f-4a2c-a515-119f75e0e5c8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Now we reshape to get one new dimension <code class="docutils literal notranslate"><span class="pre">year</span></code> of size 12.</p>
 <div class="cell docutils container">
@@ -3627,9 +3644,9 @@ <h3>Custom reductions<a class="headerlink" href="#id1" title="Permalink to this
 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
 Coordinates:
     time     (year, month) int64 1 2 3 4 5 6 7 8 9 ... 17 18 19 20 21 22 23 24
-Dimensions without coordinates: year, month</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>year</span>: 2</li><li><span>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-82cafea7-82dc-4082-99ed-aedca13b197c' class='xr-array-in' type='checkbox' ><label for='section-82cafea7-82dc-4082-99ed-aedca13b197c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([[ 1,  2, ..., 11, 12],
-       [ 1,  2, ..., 11, 12]])</pre></div></div></li><li class='xr-section-item'><input id='section-61275f82-70e2-48a8-8638-ddd220d5bf1e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-61275f82-70e2-48a8-8638-ddd220d5bf1e' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(year, month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 19 20 21 22 23 24</div><input id='attrs-3ad57631-e593-43af-95c5-2f311b8e7cee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ad57631-e593-43af-95c5-2f311b8e7cee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96e01294-465a-422d-a7d7-f40ba5555b86' class='xr-var-data-in' type='checkbox'><label for='data-96e01294-465a-422d-a7d7-f40ba5555b86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1,  2, ..., 11, 12],
-       [13, 14, ..., 23, 24]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-62e16f48-9dda-457d-9bba-b84985588a03' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-62e16f48-9dda-457d-9bba-b84985588a03' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f9f7f591-9545-4b85-9d74-aac1846ddce9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f9f7f591-9545-4b85-9d74-aac1846ddce9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: year, month</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>year</span>: 2</li><li><span>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f5f7fca6-d2ff-4485-9aa7-dde3f7c3694e' class='xr-array-in' type='checkbox' ><label for='section-f5f7fca6-d2ff-4485-9aa7-dde3f7c3694e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([[ 1,  2, ..., 11, 12],
+       [ 1,  2, ..., 11, 12]])</pre></div></div></li><li class='xr-section-item'><input id='section-715bfb78-0c11-4aa7-88f4-5095800d4547' class='xr-section-summary-in' type='checkbox'  checked><label for='section-715bfb78-0c11-4aa7-88f4-5095800d4547' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(year, month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 19 20 21 22 23 24</div><input id='attrs-bb29e022-d8b3-45be-931d-2d07f42a7dee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bb29e022-d8b3-45be-931d-2d07f42a7dee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96a3940a-e33d-4418-9e67-1d96b30bb9bd' class='xr-var-data-in' type='checkbox'><label for='data-96a3940a-e33d-4418-9e67-1d96b30bb9bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1,  2, ..., 11, 12],
+       [13, 14, ..., 23, 24]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-08b40a84-98ac-4c2e-9436-eefdbb575c35' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-08b40a84-98ac-4c2e-9436-eefdbb575c35' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6d49c474-7f27-47f8-8591-4b18cdb3df03' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6d49c474-7f27-47f8-8591-4b18cdb3df03' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
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@@ -3658,7 +3675,7 @@ <h3>Custom reductions<a class="headerlink" href="#id1" title="Permalink to this
 </section>
 </section>
 <section id="going-further">
-<h2>Going further<a class="headerlink" href="#going-further" title="Permalink to this headline">#</a></h2>
+<h2>Going further<a class="headerlink" href="#going-further" title="Permalink to this heading">#</a></h2>
 <ol class="arabic simple">
 <li><p>See the documentation on <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/computation.html#rolling-window-operations">rolling</a> and <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/computation.html#coarsen-large-arrays">coarsen</a>.</p></li>
 <li><p>Follow the tutorial on <a class="reference external" href="https://tutorial.xarray.dev/intermediate/01-high-level-computation-patterns.html#">high-level computational patterns</a></p></li>
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@@ -513,11 +530,11 @@ <h2> Contents </h2>
               
                 
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   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="weighted-reductions">
-<h1>Weighted Reductions<a class="headerlink" href="#weighted-reductions" title="Permalink to this headline">#</a></h1>
+<h1>Weighted Reductions<a class="headerlink" href="#weighted-reductions" title="Permalink to this heading">#</a></h1>
 <p>Xarray supports <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/computation.html#weighted-array-reductions">weighted reductions</a>.</p>
 <p>For demonstration, we will create a “weights” array proportional to cosine of latitude.
 Modulo a normalization, this is the correct area-weighting factor for data on a regular lat-lon grid.</p>
@@ -926,14 +943,14 @@ <h1>Weighted Reductions<a class="headerlink" href="#weighted-reductions" title="
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-48640877-bcab-4133-a96b-1d1d017d2be7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-48640877-bcab-4133-a96b-1d1d017d2be7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f0fd56f9-b0fb-460c-b605-d91b1c364460' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f0fd56f9-b0fb-460c-b605-d91b1c364460' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-0990bbc2-6ca6-43bf-bbb1-c0478fb1ffcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0990bbc2-6ca6-43bf-bbb1-c0478fb1ffcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c37c7c8-9fea-4d67-991f-498ff90c5d65' class='xr-var-data-in' type='checkbox'><label for='data-6c37c7c8-9fea-4d67-991f-498ff90c5d65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    data_modified:             2022-06-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bee42049-2b5c-4051-8def-597471b566e0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bee42049-2b5c-4051-8def-597471b566e0' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 624</li><li><span>nbnds</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ca41c5df-f397-4e7f-8556-928d093ffd64' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ca41c5df-f397-4e7f-8556-928d093ffd64' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-4adf7b79-0d9f-421a-ae2c-db28b067f8a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4adf7b79-0d9f-421a-ae2c-db28b067f8a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21d6b961-fcc4-456e-ae87-335847b5e700' class='xr-var-data-in' type='checkbox'><label for='data-21d6b961-fcc4-456e-ae87-335847b5e700' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-265286d0-7126-40dd-badb-04c9bb40e422' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-265286d0-7126-40dd-badb-04c9bb40e422' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23eb4f67-6056-4ec8-b7b5-9e53fe63db15' class='xr-var-data-in' type='checkbox'><label for='data-23eb4f67-6056-4ec8-b7b5-9e53fe63db15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-68b222ea-7ae9-427a-8d38-8cef92981ee1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68b222ea-7ae9-427a-8d38-8cef92981ee1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc19710f-00ec-4ffc-be1b-9f4203b7a8d7' class='xr-var-data-in' type='checkbox'><label for='data-dc19710f-00ec-4ffc-be1b-9f4203b7a8d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -948,16 +965,16 @@ <h1>Weighted Reductions<a class="headerlink" href="#weighted-reductions" title="
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-4ba8d055-8c93-4c73-b2a7-3994c3108db4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ba8d055-8c93-4c73-b2a7-3994c3108db4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63e10b7b-2b63-4f62-aa3f-ea08dfbbde3b' class='xr-var-data-in' type='checkbox'><label for='data-63e10b7b-2b63-4f62-aa3f-ea08dfbbde3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1970-01-01 ... 2021-12-01</div><input id='attrs-39bfb979-9822-4005-adde-47c27b0de06a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39bfb979-9822-4005-adde-47c27b0de06a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed986d34-72ec-4ab2-84e3-1cfbd7bb7dc0' class='xr-var-data-in' type='checkbox'><label for='data-ed986d34-72ec-4ab2-84e3-1cfbd7bb7dc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 81204.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1970-01-01T00:00:00.000000000&#x27;, &#x27;1970-02-01T00:00:00.000000000&#x27;,
        &#x27;1970-03-01T00:00:00.000000000&#x27;, ..., &#x27;2021-10-01T00:00:00.000000000&#x27;,
        &#x27;2021-11-01T00:00:00.000000000&#x27;, &#x27;2021-12-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-671ac8b1-70de-48cb-8479-07270c98fb87' class='xr-section-summary-in' type='checkbox'  checked><label for='section-671ac8b1-70de-48cb-8479-07270c98fb87' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-d540331f-b09c-41ef-86f3-27dd2f9d49b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d540331f-b09c-41ef-86f3-27dd2f9d49b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1eb04b3-941d-4528-a6ea-a33b518e3c0c' class='xr-var-data-in' type='checkbox'><label for='data-b1eb04b3-941d-4528-a6ea-a33b518e3c0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0596b2e3-d900-448b-b466-ea4095af3c9d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0596b2e3-d900-448b-b466-ea4095af3c9d' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, nbnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>9.969e+36 9.969e+36 ... 9.969e+36</div><input id='attrs-0588b468-5418-4961-b4d6-b72c20c13a91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0588b468-5418-4961-b4d6-b72c20c13a91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b597383-dbe1-400c-bc78-15b221aa36b5' class='xr-var-data-in' type='checkbox'><label for='data-5b597383-dbe1-400c-bc78-15b221aa36b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time Boundaries</dd></dl></div><div class='xr-var-data'><pre>array([[9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
        ...,
        [9.96920997e+36, 9.96920997e+36],
        [9.96920997e+36, 9.96920997e+36],
-       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-c092af80-296d-4d0e-b728-05fd1cd09b86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c092af80-296d-4d0e-b728-05fd1cd09b86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d41e6036-6b62-423c-9f13-d5792a835e1b' class='xr-var-data-in' type='checkbox'><label for='data-d41e6036-6b62-423c-9f13-d5792a835e1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
+       [9.96920997e+36, 9.96920997e+36]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-0aafea18-4ab6-4802-a7cc-721c8e136e55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0aafea18-4ab6-4802-a7cc-721c8e136e55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c240c505-e597-4b11-8d31-b719117450a9' class='xr-var-data-in' type='checkbox'><label for='data-c240c505-e597-4b11-8d31-b719117450a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         ...,
@@ -997,7 +1014,7 @@ <h1>Weighted Reductions<a class="headerlink" href="#weighted-reductions" title="
         ...,
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
-        [ nan,  nan,  nan, ...,  nan,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e4501e4e-153e-4e9a-8054-339e51b55963' class='xr-section-summary-in' type='checkbox'  ><label for='section-e4501e4e-153e-4e9a-8054-339e51b55963' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-306e15f4-e779-4991-b4d1-567c3be0417e' class='xr-index-data-in' type='checkbox'/><label for='index-306e15f4-e779-4991-b4d1-567c3be0417e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+        [ nan,  nan,  nan, ...,  nan,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c00320c-c385-46e1-bcec-d05d5fd017c6' class='xr-section-summary-in' type='checkbox'  ><label for='section-8c00320c-c385-46e1-bcec-d05d5fd017c6' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a9315704-d4d0-4898-ae1b-2103d40d94f5' class='xr-index-data-in' type='checkbox'/><label for='index-a9315704-d4d0-4898-ae1b-2103d40d94f5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1006,17 +1023,17 @@ <h1>Weighted Reductions<a class="headerlink" href="#weighted-reductions" title="
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-caf226ab-0a00-4c7e-8023-fa29b71b6b82' class='xr-index-data-in' type='checkbox'/><label for='index-caf226ab-0a00-4c7e-8023-fa29b71b6b82' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4eb8ef1c-5467-4c88-a01b-aa93a3fe2542' class='xr-index-data-in' type='checkbox'/><label for='index-4eb8ef1c-5467-4c88-a01b-aa93a3fe2542' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-139e962c-1902-4e49-aa8c-824667ae83e4' class='xr-index-data-in' type='checkbox'/><label for='index-139e962c-1902-4e49-aa8c-824667ae83e4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a096456e-e43b-484c-adbc-1d5bad4098c1' class='xr-index-data-in' type='checkbox'/><label for='index-a096456e-e43b-484c-adbc-1d5bad4098c1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1970-01-01&#x27;, &#x27;1970-02-01&#x27;, &#x27;1970-03-01&#x27;, &#x27;1970-04-01&#x27;,
                &#x27;1970-05-01&#x27;, &#x27;1970-06-01&#x27;, &#x27;1970-07-01&#x27;, &#x27;1970-08-01&#x27;,
                &#x27;1970-09-01&#x27;, &#x27;1970-10-01&#x27;,
                ...
                &#x27;2021-03-01&#x27;, &#x27;2021-04-01&#x27;, &#x27;2021-05-01&#x27;, &#x27;2021-06-01&#x27;,
                &#x27;2021-07-01&#x27;, &#x27;2021-08-01&#x27;, &#x27;2021-09-01&#x27;, &#x27;2021-10-01&#x27;,
                &#x27;2021-11-01&#x27;, &#x27;2021-12-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e30ef93e-6e51-4bd6-823c-344e68bd3ec6' class='xr-section-summary-in' type='checkbox'  ><label for='section-e30ef93e-6e51-4bd6-823c-344e68bd3ec6' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=624, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-311bd5dd-26fc-4938-a79a-94180ff41dbc' class='xr-section-summary-in' type='checkbox'  ><label for='section-311bd5dd-26fc-4938-a79a-94180ff41dbc' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2022-06-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1031,14 +1048,14 @@ <h1>Weighted Reductions<a class="headerlink" href="#weighted-reductions" title="
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>(&#39;lat&#39;,)
 </pre></div>
 </div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f082070b990&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f7e9cc4e790&gt;]
 </pre></div>
 </div>
-<img alt="../_images/f90ce26d7973eb6ca21f62d80514e891742ce03a7e583d4a59bcc98a8b4148c1.png" src="../_images/f90ce26d7973eb6ca21f62d80514e891742ce03a7e583d4a59bcc98a8b4148c1.png" />
+<img alt="../_images/1cf104813e97db64222189723c5b9c52b46a4a6e2a0dfa642e276c40af22ea90.png" src="../_images/1cf104813e97db64222189723c5b9c52b46a4a6e2a0dfa642e276c40af22ea90.png" />
 </div>
 </div>
 <section id="manual-weighting">
-<h2>Manual weighting<a class="headerlink" href="#manual-weighting" title="Permalink to this headline">#</a></h2>
+<h2>Manual weighting<a class="headerlink" href="#manual-weighting" title="Permalink to this heading">#</a></h2>
 <p>Thanks to the automatic broadcasting and alignment discussed earlier, if we multiply this by SST, it “just works,” and the arrays are broadcasted properly:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1065,7 +1082,7 @@ <h2>Manual weighting<a class="headerlink" href="#manual-weighting" title="Permal
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Text(0.5, 1.0, &#39;This is wrong!&#39;)
 </pre></div>
 </div>
-<img alt="../_images/e08c91dae8327461414ef9265e43dc872f081d7764b111c8245f0fd8b531ca6d.png" src="../_images/e08c91dae8327461414ef9265e43dc872f081d7764b111c8245f0fd8b531ca6d.png" />
+<img alt="../_images/847c4fdcf59df8828d0732f30219379512a7ccb9c0a2137c25f3e5a919b97fac.png" src="../_images/847c4fdcf59df8828d0732f30219379512a7ccb9c0a2137c25f3e5a919b97fac.png" />
 </div>
 </div>
 <p>That would be wrong, however, because the denominator (<code class="docutils literal notranslate"><span class="pre">weights.sum(dim='lat')</span></code>)
@@ -1073,7 +1090,7 @@ <h2>Manual weighting<a class="headerlink" href="#manual-weighting" title="Permal
 the missing values (land points).</p>
 </section>
 <section id="the-weighted-method">
-<h2>The <code class="docutils literal notranslate"><span class="pre">weighted</span></code> method<a class="headerlink" href="#the-weighted-method" title="Permalink to this headline">#</a></h2>
+<h2>The <code class="docutils literal notranslate"><span class="pre">weighted</span></code> method<a class="headerlink" href="#the-weighted-method" title="Permalink to this heading">#</a></h2>
 <p>In general, weighted reductions on multidimensional arrays are complicated. To
 make it a bit easier, Xarray provides a mechanism for weighted reductions.</p>
 <p>It does this by creating a special intermediate <code class="docutils literal notranslate"><span class="pre">DataArrayWeighted</span></code> object, to
@@ -1101,7 +1118,7 @@ <h2>The <code class="docutils literal notranslate"><span class="pre">weighted</s
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/0ded52d0b98c3582c0e6071201365caf939a14cfb4f882edb68f76d8652ee6bc.png" src="../_images/0ded52d0b98c3582c0e6071201365caf939a14cfb4f882edb68f76d8652ee6bc.png" />
+<img alt="../_images/36979e44a5dc0d0bc026b25c4aad90952660496ad07b52ccc3d0166833c280d2.png" src="../_images/36979e44a5dc0d0bc026b25c4aad90952660496ad07b52ccc3d0166833c280d2.png" />
 </div>
 </div>
 <p>A handful of reductions have been implemented: <a class="reference external" href="https://docs.xarray.dev/en/stable/api.html#weighted-objects">mean, sum, std, var</a>.</p>
@@ -1133,11 +1150,10 @@ <h2>The <code class="docutils literal notranslate"><span class="pre">weighted</s
 
               
               
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@@ -1198,6 +1212,7 @@ <h2>The <code class="docutils literal notranslate"><span class="pre">weighted</s
   
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@@ -1224,8 +1239,8 @@ <h2>The <code class="docutils literal notranslate"><span class="pre">weighted</s
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diff --git a/fundamentals/03_computation.html b/fundamentals/03_computation.html
index 7b0bef73..613db308 100644
--- a/fundamentals/03_computation.html
+++ b/fundamentals/03_computation.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
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+<html lang="en" data-content_root="" >
 
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+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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-<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
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+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
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     <script src="../_static/clipboard.min.js"></script>
     <script src="../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -431,20 +446,22 @@
 </button>
 
 
+
 <script>
 document.write(`
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-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
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-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -471,10 +488,10 @@ <h1>Computation</h1>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="computation">
-<h1>Computation<a class="headerlink" href="#computation" title="Permalink to this headline">#</a></h1>
+<h1>Computation<a class="headerlink" href="#computation" title="Permalink to this heading">#</a></h1>
 <div class="toctree-wrapper compound">
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="03.1_computation_with_xarray.html">Basic Computation</a></li>
@@ -511,11 +528,10 @@ <h1>Computation<a class="headerlink" href="#computation" title="Permalink to thi
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
        href="02.2_manipulating_dimensions.html"
@@ -535,16 +551,15 @@ <h1>Computation<a class="headerlink" href="#computation" title="Permalink to thi
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
-  
 </div>
-
                 </footer>
               
             </div>
             
             
               
+                <div class="bd-sidebar-secondary bd-toc"></div>
+              
             
           </div>
           <footer class="bd-footer-content">
@@ -561,6 +576,7 @@ <h1>Computation<a class="headerlink" href="#computation" title="Permalink to thi
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2023.
@@ -587,8 +603,8 @@ <h1>Computation<a class="headerlink" href="#computation" title="Permalink to thi
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/fundamentals/04.0_plotting.html b/fundamentals/04.0_plotting.html
index 540d52dc..253e6e5b 100644
--- a/fundamentals/04.0_plotting.html
+++ b/fundamentals/04.0_plotting.html
@@ -3,7 +3,7 @@
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-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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@@ -19,15 +19,15 @@
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-<link href="../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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-<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
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     <script src="../_static/jquery.js"></script>
     <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../_static/doctools.js"></script>
     <script src="../_static/clipboard.min.js"></script>
     <script src="../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -431,20 +446,22 @@
 </button>
 
 
+
 <script>
 document.write(`
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-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
   <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -471,10 +488,10 @@ <h1>Plotting and Visualization</h1>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="plotting-and-visualization">
-<h1>Plotting and Visualization<a class="headerlink" href="#plotting-and-visualization" title="Permalink to this headline">#</a></h1>
+<h1>Plotting and Visualization<a class="headerlink" href="#plotting-and-visualization" title="Permalink to this heading">#</a></h1>
 <div class="toctree-wrapper compound">
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="04.1_basic_plotting.html">Basic Visualization</a></li>
@@ -509,11 +526,10 @@ <h1>Plotting and Visualization<a class="headerlink" href="#plotting-and-visualiz
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
        href="03.4_weighted.html"
@@ -533,16 +549,15 @@ <h1>Plotting and Visualization<a class="headerlink" href="#plotting-and-visualiz
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
-  
 </div>
-
                 </footer>
               
             </div>
             
             
               
+                <div class="bd-sidebar-secondary bd-toc"></div>
+              
             
           </div>
           <footer class="bd-footer-content">
@@ -559,6 +574,7 @@ <h1>Plotting and Visualization<a class="headerlink" href="#plotting-and-visualiz
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2023.
@@ -585,8 +601,8 @@ <h1>Plotting and Visualization<a class="headerlink" href="#plotting-and-visualiz
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/fundamentals/04.1_basic_plotting.html b/fundamentals/04.1_basic_plotting.html
index 83eb8304..869152fd 100644
--- a/fundamentals/04.1_basic_plotting.html
+++ b/fundamentals/04.1_basic_plotting.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
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-<link href="../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
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-<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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-<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
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     <script src="../_static/jquery.js"></script>
     <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../_static/doctools.js"></script>
     <script src="../_static/clipboard.min.js"></script>
     <script src="../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
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@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
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+
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-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
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 `);
 </script>
@@ -528,11 +545,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="basic-visualization">
-<h1>Basic Visualization<a class="headerlink" href="#basic-visualization" title="Permalink to this headline">#</a></h1>
+<h1>Basic Visualization<a class="headerlink" href="#basic-visualization" title="Permalink to this heading">#</a></h1>
 <p>At the end of this lesson you will learn:</p>
 <ol class="arabic simple">
 <li><p>how to use xarray’s convenient <a class="reference external" href="https://matplotlib.org/">matplotlib-backed</a> plotting interface to
@@ -552,7 +569,7 @@ <h1>Basic Visualization<a class="headerlink" href="#basic-visualization" title="
 </div>
 </div>
 <section id="load-data">
-<h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this headline">#</a></h2>
+<h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this heading">#</a></h2>
 <p>First let’s load up a tutorial dataset to visualize.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -940,26 +957,26 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-577c67e1-11cf-4328-9823-14dff0c4a57f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-577c67e1-11cf-4328-9823-14dff0c4a57f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f6a3a223-dbe3-4d36-867f-8e286f16a352' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f6a3a223-dbe3-4d36-867f-8e286f16a352' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-1c51faad-5e51-4222-a067-752b215fbe5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c51faad-5e51-4222-a067-752b215fbe5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acea6e93-6c8b-4f45-8a55-50bd1b90d147' class='xr-var-data-in' type='checkbox'><label for='data-acea6e93-6c8b-4f45-8a55-50bd1b90d147' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7818b70d-ba21-45b0-b4e7-eb51c44294f8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7818b70d-ba21-45b0-b4e7-eb51c44294f8' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-059c15a4-7665-43e5-bfd5-dfb03d460c0a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-059c15a4-7665-43e5-bfd5-dfb03d460c0a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-60715ca1-89b7-44eb-ada4-85f5858683bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60715ca1-89b7-44eb-ada4-85f5858683bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b22d896-1065-4fc7-9638-c3ca38d06892' class='xr-var-data-in' type='checkbox'><label for='data-6b22d896-1065-4fc7-9638-c3ca38d06892' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-d0367874-f4c6-446a-9118-2d5c89212aff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0367874-f4c6-446a-9118-2d5c89212aff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fabbbff1-c955-4886-a684-9a654f86da19' class='xr-var-data-in' type='checkbox'><label for='data-fabbbff1-c955-4886-a684-9a654f86da19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-6efdb3f6-65eb-40f5-b52b-59208e39120c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6efdb3f6-65eb-40f5-b52b-59208e39120c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ee7db50-bd1b-4f6d-aad6-822fb0852ef9' class='xr-var-data-in' type='checkbox'><label for='data-7ee7db50-bd1b-4f6d-aad6-822fb0852ef9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-a419cec6-4683-41ae-bf7e-dbc956e70e0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a419cec6-4683-41ae-bf7e-dbc956e70e0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72088846-5ff4-4d10-a976-bc8c65b77d94' class='xr-var-data-in' type='checkbox'><label for='data-72088846-5ff4-4d10-a976-bc8c65b77d94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-19fee8d7-f011-430b-b829-5937cad79398' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19fee8d7-f011-430b-b829-5937cad79398' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4871a257-aae9-4004-b071-4f3d4790c3ae' class='xr-var-data-in' type='checkbox'><label for='data-4871a257-aae9-4004-b071-4f3d4790c3ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-406a217d-69d9-4f3a-a7f1-c51ab81e2912' class='xr-section-summary-in' type='checkbox'  checked><label for='section-406a217d-69d9-4f3a-a7f1-c51ab81e2912' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Tair</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-547912fb-9d25-4a5c-88f4-9a8af231df64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-547912fb-9d25-4a5c-88f4-9a8af231df64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b173b80a-bd91-4bfa-a040-409c2525abce' class='xr-var-data-in' type='checkbox'><label for='data-b173b80a-bd91-4bfa-a040-409c2525abce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>[3869000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dTdx</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd792ff5-ceba-4c7b-ae0c-c95c912cf957' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd792ff5-ceba-4c7b-ae0c-c95c912cf957' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d56289a1-b30f-4179-a419-456928519d0a' class='xr-var-data-in' type='checkbox'><label for='data-d56289a1-b30f-4179-a419-456928519d0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>$∂T/∂x$</dd><dt><span>units :</span></dt><dd>°C/m</dd></dl></div><div class='xr-var-data'><pre>[3869000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dTdy</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebd151e2-77ab-4c64-a2a8-8cd030d4d635' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebd151e2-77ab-4c64-a2a8-8cd030d4d635' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14ec3e1f-fbe6-4801-a80c-25f50348b3ac' class='xr-var-data-in' type='checkbox'><label for='data-14ec3e1f-fbe6-4801-a80c-25f50348b3ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>$∂T/∂y$</dd><dt><span>units :</span></dt><dd>°C/m</dd></dl></div><div class='xr-var-data'><pre>[3869000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fdfbe77b-9a46-4aae-a4a3-35b6918d91f1' class='xr-section-summary-in' type='checkbox'  ><label for='section-fdfbe77b-9a46-4aae-a4a3-35b6918d91f1' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b007d686-69ef-4409-822a-ee463e6f8d3e' class='xr-index-data-in' type='checkbox'/><label for='index-b007d686-69ef-4409-822a-ee463e6f8d3e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e0ec42e3-cfc6-470b-a87f-41f4e99fb93c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e0ec42e3-cfc6-470b-a87f-41f4e99fb93c' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Tair</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7fa241f1-d21d-4600-82dc-1eceb821a263' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7fa241f1-d21d-4600-82dc-1eceb821a263' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b816633-2109-4317-b5dc-4fbff8f2de79' class='xr-var-data-in' type='checkbox'><label for='data-2b816633-2109-4317-b5dc-4fbff8f2de79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>[3869000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dTdx</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fe61e01e-bb60-41e9-a79c-969a91bfef8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe61e01e-bb60-41e9-a79c-969a91bfef8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b41cf8ab-85c6-4c64-9862-8e0cfc47438d' class='xr-var-data-in' type='checkbox'><label for='data-b41cf8ab-85c6-4c64-9862-8e0cfc47438d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>$∂T/∂x$</dd><dt><span>units :</span></dt><dd>°C/m</dd></dl></div><div class='xr-var-data'><pre>[3869000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dTdy</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0985d99-9c9e-4843-a15f-f27b278d3429' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0985d99-9c9e-4843-a15f-f27b278d3429' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4991949e-226a-4633-b29d-cb373fccef3c' class='xr-var-data-in' type='checkbox'><label for='data-4991949e-226a-4633-b29d-cb373fccef3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>$∂T/∂y$</dd><dt><span>units :</span></dt><dd>°C/m</dd></dl></div><div class='xr-var-data'><pre>[3869000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d5b752ad-4420-4e92-9cac-2c8d0fca6883' class='xr-section-summary-in' type='checkbox'  ><label for='section-d5b752ad-4420-4e92-9cac-2c8d0fca6883' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3d9320d2-7c04-4359-9d49-ee04a04174d2' class='xr-index-data-in' type='checkbox'/><label for='index-3d9320d2-7c04-4359-9d49-ee04a04174d2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8abc65c2-d47a-4f71-9c40-e2a7e54d3f2d' class='xr-index-data-in' type='checkbox'/><label for='index-8abc65c2-d47a-4f71-9c40-e2a7e54d3f2d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5780e8b3-58f6-4483-a283-961f91d41fd9' class='xr-index-data-in' type='checkbox'/><label for='index-5780e8b3-58f6-4483-a283-961f91d41fd9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-16969f0f-c24f-469e-8291-096098b748f9' class='xr-index-data-in' type='checkbox'/><label for='index-16969f0f-c24f-469e-8291-096098b748f9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-62ff9b18-a369-4b38-bd58-b8d64c94f6f2' class='xr-index-data-in' type='checkbox'/><label for='index-62ff9b18-a369-4b38-bd58-b8d64c94f6f2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -970,7 +987,7 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4b43032e-f872-41ec-9a24-7e0871e15ae6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4b43032e-f872-41ec-9a24-7e0871e15ae6' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a1e53a0-4cc6-4c34-a5e3-714dd10b4812' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a1e53a0-4cc6-4c34-a5e3-714dd10b4812' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>This dataset has three “data variables”, <code class="docutils literal notranslate"><span class="pre">Tair</span></code> is air temperature and <code class="docutils literal notranslate"><span class="pre">dTdx</span></code>
@@ -979,7 +996,7 @@ <h2>Load data<a class="headerlink" href="#load-data" title="Permalink to this he
 <p><a id='basic'></a></p>
 </section>
 <section id="basic-plotting-plot">
-<h2>Basic plotting: .plot()<a class="headerlink" href="#basic-plotting-plot" title="Permalink to this headline">#</a></h2>
+<h2>Basic plotting: .plot()<a class="headerlink" href="#basic-plotting-plot" title="Permalink to this heading">#</a></h2>
 <p>DataArray objects have a <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.plot.html">plot</a> method. This method creates plots using
 <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code> so all of your existing matplotlib knowledge carries over!</p>
 <p>By default <code class="docutils literal notranslate"><span class="pre">.plot()</span></code> makes</p>
@@ -991,7 +1008,7 @@ <h2>Basic plotting: .plot()<a class="headerlink" href="#basic-plotting-plot" tit
 <p><a id='hist'></a></p>
 </section>
 <section id="histograms">
-<h2>Histograms<a class="headerlink" href="#histograms" title="Permalink to this headline">#</a></h2>
+<h2>Histograms<a class="headerlink" href="#histograms" title="Permalink to this heading">#</a></h2>
 <p><code class="docutils literal notranslate"><span class="pre">Tair</span></code> is three-dimensional, so we got a histogram of temperature values. Notice
 the label on the x-axis. One of xarray’s convenient plotting features is that it
 uses the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> of <code class="docutils literal notranslate"><span class="pre">Tair</span></code> to nicely label axes and colorbars.</p>
@@ -1010,7 +1027,7 @@ <h2>Histograms<a class="headerlink" href="#histograms" title="Permalink to this
  &lt;BarContainer object of 10 artists&gt;)
 </pre></div>
 </div>
-<img alt="../_images/b70211c4d877e9f3e9eacf3372d85a46bbce3c27f089d53af60b8b87994c7fc7.png" src="../_images/b70211c4d877e9f3e9eacf3372d85a46bbce3c27f089d53af60b8b87994c7fc7.png" />
+<img alt="../_images/2d2a06a9c11903d65b6948e0e79b21bd864b9accdf8f2c2990d5436a302797d3.png" src="../_images/2d2a06a9c11903d65b6948e0e79b21bd864b9accdf8f2c2990d5436a302797d3.png" />
 </div>
 </div>
 <p>You can pass extra arguments to the underlying <code class="docutils literal notranslate"><span class="pre">hist()</span></code> call. See the <a class="reference external" href="https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.hist.html">matplotlib
@@ -1018,14 +1035,14 @@ <h2>Histograms<a class="headerlink" href="#histograms" title="Permalink to this
 all possible keyword arguments.</p>
 <p><strong>Tip:</strong> Note that the returned values are exactly what matplotlib would return</p>
 <section id="exercise">
-<h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this headline">#</a></h3>
+<h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this heading">#</a></h3>
 <p>Update the above plot to show 50 bins with unfilled steps instead of filled
 bars.</p>
 <p><a id='2d'></a></p>
 </section>
 </section>
 <section id="d-plots">
-<h2>2D plots<a class="headerlink" href="#d-plots" title="Permalink to this headline">#</a></h2>
+<h2>2D plots<a class="headerlink" href="#d-plots" title="Permalink to this heading">#</a></h2>
 <p>Now we will explore 2D plots. Let’s select a single timestep of <code class="docutils literal notranslate"><span class="pre">Tair</span></code> to
 visualize.</p>
 <div class="cell docutils container">
@@ -1035,10 +1052,10 @@ <h2>2D plots<a class="headerlink" href="#d-plots" title="Permalink to this headl
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fe22cd38810&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fc86fb94a10&gt;
 </pre></div>
 </div>
-<img alt="../_images/20bf5366aefdfcd89972a36b2d98dc6b1634bfd43e085091940393e63bf5ea98.png" src="../_images/20bf5366aefdfcd89972a36b2d98dc6b1634bfd43e085091940393e63bf5ea98.png" />
+<img alt="../_images/0ca0c8e7b183955b8eb593cc9ac804d6629027605efd8a0471ca89dd0135cd4f.png" src="../_images/0ca0c8e7b183955b8eb593cc9ac804d6629027605efd8a0471ca89dd0135cd4f.png" />
 </div>
 </div>
 <p>This is identical to <code class="docutils literal notranslate"><span class="pre">.plot.pcolormesh</span></code> which is more explicit</p>
@@ -1049,10 +1066,10 @@ <h2>2D plots<a class="headerlink" href="#d-plots" title="Permalink to this headl
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fe1e0df3290&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fc86fb37f10&gt;
 </pre></div>
 </div>
-<img alt="../_images/20bf5366aefdfcd89972a36b2d98dc6b1634bfd43e085091940393e63bf5ea98.png" src="../_images/20bf5366aefdfcd89972a36b2d98dc6b1634bfd43e085091940393e63bf5ea98.png" />
+<img alt="../_images/0ca0c8e7b183955b8eb593cc9ac804d6629027605efd8a0471ca89dd0135cd4f.png" src="../_images/0ca0c8e7b183955b8eb593cc9ac804d6629027605efd8a0471ca89dd0135cd4f.png" />
 </div>
 </div>
 <p>Notice how much information is on that plot!</p>
@@ -1081,14 +1098,14 @@ <h2>2D plots<a class="headerlink" href="#d-plots" title="Permalink to this headl
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fe1debdad10&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fc86e9e7bd0&gt;
 </pre></div>
 </div>
-<img alt="../_images/dfebfd4472bc86f0ff49ddc695a3e7c4606d769ac7ec9cc1869f21c6440c46b5.png" src="../_images/dfebfd4472bc86f0ff49ddc695a3e7c4606d769ac7ec9cc1869f21c6440c46b5.png" />
+<img alt="../_images/70672a6127c2e5b8eabffd17747495d8bc48dfbbb9e8005d20318eac54ed4e4e.png" src="../_images/70672a6127c2e5b8eabffd17747495d8bc48dfbbb9e8005d20318eac54ed4e4e.png" />
 </div>
 </div>
 <section id="id1">
-<h3>Exercise<a class="headerlink" href="#id1" title="Permalink to this headline">#</a></h3>
+<h3>Exercise<a class="headerlink" href="#id1" title="Permalink to this heading">#</a></h3>
 <p>Update the above plot to use a different matplotlib colormap.</p>
 <div class="cell tag_hide-input docutils container">
 <details class="hide above-input">
@@ -1112,15 +1129,15 @@ <h3>Exercise<a class="headerlink" href="#id1" title="Permalink to this headline"
 </div>
 </details>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fe1dec80ad0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fc86e8b4950&gt;
 </pre></div>
 </div>
-<img alt="../_images/ee153f06d07947f56eb9420678290b72a7e4378661121dd8197dda1db5f9712a.png" src="../_images/ee153f06d07947f56eb9420678290b72a7e4378661121dd8197dda1db5f9712a.png" />
+<img alt="../_images/06d5bb92956265cd8047867004e0189435e6671d0ddf33885cea8ea9809c81a0.png" src="../_images/06d5bb92956265cd8047867004e0189435e6671d0ddf33885cea8ea9809c81a0.png" />
 </div>
 </div>
 </section>
 <section id="id2">
-<h3>Exercise<a class="headerlink" href="#id2" title="Permalink to this headline">#</a></h3>
+<h3>Exercise<a class="headerlink" href="#id2" title="Permalink to this heading">#</a></h3>
 <p>Now overlay a <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.plot.contour.html">contour plot</a> on top of the previous plot</p>
 <div class="cell tag_hide-input docutils container">
 <details class="hide above-input">
@@ -1151,17 +1168,17 @@ <h3>Exercise<a class="headerlink" href="#id2" title="Permalink to this headline"
 </div>
 </details>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.contour.QuadContourSet at 0x7fe1deb74dd0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.contour.QuadContourSet at 0x7fc86fad0550&gt;
 </pre></div>
 </div>
-<img alt="../_images/83387f2a2fce0b579b9e4f237970fafe7722c11042562b947fe266f0691815a3.png" src="../_images/83387f2a2fce0b579b9e4f237970fafe7722c11042562b947fe266f0691815a3.png" />
+<img alt="../_images/e98fa07a0342dd492c216f71fb8061ce8216edacb584fe7fa5c00d2a931373c3.png" src="../_images/e98fa07a0342dd492c216f71fb8061ce8216edacb584fe7fa5c00d2a931373c3.png" />
 </div>
 </div>
 <p><a id='1d'></a></p>
 </section>
 </section>
 <section id="d-line-plots">
-<h2>1D line plots<a class="headerlink" href="#d-line-plots" title="Permalink to this headline">#</a></h2>
+<h2>1D line plots<a class="headerlink" href="#d-line-plots" title="Permalink to this heading">#</a></h2>
 <p>xarray is also able to plot lines by wrapping <code class="docutils literal notranslate"><span class="pre">plt.plot()</span></code>. As in the earlier
 examples, the axes are labelled and keyword arguments can be passed to the
 underlying <code class="docutils literal notranslate"><span class="pre">matplotlib</span></code> call.</p>
@@ -1172,10 +1189,10 @@ <h2>1D line plots<a class="headerlink" href="#d-line-plots" title="Permalink to
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fe1e0f8dd10&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fc86e867390&gt;]
 </pre></div>
 </div>
-<img alt="../_images/aa43f46013753f1326438d7dbe0ca84df8b3cbfb841715ec7a2e9eefc197a674.png" src="../_images/aa43f46013753f1326438d7dbe0ca84df8b3cbfb841715ec7a2e9eefc197a674.png" />
+<img alt="../_images/90958817a58ed370cc7ee8ae93368d3c6b31602f3031aa6e89c4aeb12c5e6983.png" src="../_images/90958817a58ed370cc7ee8ae93368d3c6b31602f3031aa6e89c4aeb12c5e6983.png" />
 </div>
 </div>
 <p>Again, this is equivalent to the more explicit <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.plot.line.html">plot.line</a></p>
@@ -1186,14 +1203,14 @@ <h2>1D line plots<a class="headerlink" href="#d-line-plots" title="Permalink to
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fe1deab5e50&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fc86e692a10&gt;]
 </pre></div>
 </div>
-<img alt="../_images/aa43f46013753f1326438d7dbe0ca84df8b3cbfb841715ec7a2e9eefc197a674.png" src="../_images/aa43f46013753f1326438d7dbe0ca84df8b3cbfb841715ec7a2e9eefc197a674.png" />
+<img alt="../_images/90958817a58ed370cc7ee8ae93368d3c6b31602f3031aa6e89c4aeb12c5e6983.png" src="../_images/90958817a58ed370cc7ee8ae93368d3c6b31602f3031aa6e89c4aeb12c5e6983.png" />
 </div>
 </div>
 <section id="multiple-lines-with-hue">
-<h3>Multiple lines with <code class="docutils literal notranslate"><span class="pre">hue</span></code><a class="headerlink" href="#multiple-lines-with-hue" title="Permalink to this headline">#</a></h3>
+<h3>Multiple lines with <code class="docutils literal notranslate"><span class="pre">hue</span></code><a class="headerlink" href="#multiple-lines-with-hue" title="Permalink to this heading">#</a></h3>
 <p>Lets say we want to compare line plots of temperature at three different
 latitudes. We can use the <code class="docutils literal notranslate"><span class="pre">hue</span></code> kwarg to do this.</p>
 <div class="cell docutils container">
@@ -1203,18 +1220,18 @@ <h3>Multiple lines with <code class="docutils literal notranslate"><span class="
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fe1de945f90&gt;,
- &lt;matplotlib.lines.Line2D at 0x7fe1de946150&gt;,
- &lt;matplotlib.lines.Line2D at 0x7fe1de946510&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fc86e5825d0&gt;,
+ &lt;matplotlib.lines.Line2D at 0x7fc86e5db3d0&gt;,
+ &lt;matplotlib.lines.Line2D at 0x7fc86e5cb8d0&gt;]
 </pre></div>
 </div>
-<img alt="../_images/472e711340e5e672e04ce783728e850748166a619a2e2086f0adf438a66cc12d.png" src="../_images/472e711340e5e672e04ce783728e850748166a619a2e2086f0adf438a66cc12d.png" />
+<img alt="../_images/0958b9c62bc5a656fb5f6208487c8801fe00e322a866664ab74bee50215501a4.png" src="../_images/0958b9c62bc5a656fb5f6208487c8801fe00e322a866664ab74bee50215501a4.png" />
 </div>
 </div>
 </section>
 </section>
 <section id="customization">
-<h2>Customization<a class="headerlink" href="#customization" title="Permalink to this headline">#</a></h2>
+<h2>Customization<a class="headerlink" href="#customization" title="Permalink to this heading">#</a></h2>
 <p>All of xarray’s plotting functions take an large list kwargs that customize
 behaviour. A full list can be seen <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.plot.pcolormesh.html">here</a>. That
 said xarray does not wrap all matplotlib functionality.</p>
@@ -1228,7 +1245,7 @@ <h2>Customization<a class="headerlink" href="#customization" title="Permalink to
 </ol>
 </section>
 <section id="more-resources">
-<h2>More resources<a class="headerlink" href="#more-resources" title="Permalink to this headline">#</a></h2>
+<h2>More resources<a class="headerlink" href="#more-resources" title="Permalink to this heading">#</a></h2>
 <ol class="arabic simple">
 <li><p><a class="reference external" href="https://docs.xarray.dev/en/stable/examples/visualization_gallery.html">Xarray’s visualization gallery</a></p></li>
 <li><p><a class="reference external" href="https://docs.xarray.dev/en/stable/plotting.html">Xarray’s plotting documentation</a></p></li>
@@ -1261,11 +1278,10 @@ <h2>More resources<a class="headerlink" href="#more-resources" title="Permalink
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
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-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
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@@ -1285,10 +1301,7 @@ <h2>More resources<a class="headerlink" href="#more-resources" title="Permalink
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       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
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@@ -1297,6 +1310,7 @@ <h2>More resources<a class="headerlink" href="#more-resources" title="Permalink
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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   <div class="page-toc tocsection onthispage">
     <i class="fa-solid fa-list"></i> Contents
@@ -1341,6 +1355,7 @@ <h2>More resources<a class="headerlink" href="#more-resources" title="Permalink
   
   <div class="footer-item">
     
+
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@@ -1367,8 +1382,8 @@ <h2>More resources<a class="headerlink" href="#more-resources" title="Permalink
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-  <script src="../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/fundamentals/04.2_faceting.html b/fundamentals/04.2_faceting.html
index 471da757..513a52c5 100644
--- a/fundamentals/04.2_faceting.html
+++ b/fundamentals/04.2_faceting.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
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   <!-- Loaded before other Sphinx assets -->
-  <link href="../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../_static/styles/bootstrap.css?digest=e353d410970836974a52" rel="stylesheet" />
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+  <link href="../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
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     <script src="../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
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+      
+      
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@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
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-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
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-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -518,11 +535,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="faceting">
-<h1>Faceting<a class="headerlink" href="#faceting" title="Permalink to this headline">#</a></h1>
+<h1>Faceting<a class="headerlink" href="#faceting" title="Permalink to this heading">#</a></h1>
 <p>Faceting is the art of presenting “small multiples” of the data. It is an
 effective way of visualizing variations of 3D data where 2D slices are
 visualized in a panel (subplot) and the third dimensions is varied between
@@ -553,7 +570,7 @@ <h1>Faceting<a class="headerlink" href="#faceting" title="Permalink to this head
 </div>
 <p>Note that the dimensions are now <code class="docutils literal notranslate"><span class="pre">lat,</span> <span class="pre">lon,</span> <span class="pre">month</span></code>.</p>
 <section id="basic-faceting">
-<h2>Basic faceting<a class="headerlink" href="#basic-faceting" title="Permalink to this headline">#</a></h2>
+<h2>Basic faceting<a class="headerlink" href="#basic-faceting" title="Permalink to this heading">#</a></h2>
 <p>We want to visualize how the monthly mean air temperature varies with month of
 the year.</p>
 <p>The simplest way to facet is to specify the <code class="docutils literal notranslate"><span class="pre">row</span></code> or <code class="docutils literal notranslate"><span class="pre">col</span></code> kwargs which are
@@ -571,12 +588,12 @@ <h2>Basic faceting<a class="headerlink" href="#basic-faceting" title="Permalink
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/f8bdecf73878fa02d20e371420153f90c0fd6f733646c506cba15532be82ff92.png" src="../_images/f8bdecf73878fa02d20e371420153f90c0fd6f733646c506cba15532be82ff92.png" />
+<img alt="../_images/a83e560b24297b316b6488d062d99fce70176f505533166503aa00a7832a4059.png" src="../_images/a83e560b24297b316b6488d062d99fce70176f505533166503aa00a7832a4059.png" />
 </div>
 </div>
 </section>
 <section id="customizing">
-<h2>Customizing<a class="headerlink" href="#customizing" title="Permalink to this headline">#</a></h2>
+<h2>Customizing<a class="headerlink" href="#customizing" title="Permalink to this heading">#</a></h2>
 <p>All the usual customizations are possible</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -597,7 +614,7 @@ <h2>Customizing<a class="headerlink" href="#customizing" title="Permalink to thi
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/6ef7bdd6a24fe65489deb5042bc54bf658f53be78a61bc16fe336ca47503dc1f.png" src="../_images/6ef7bdd6a24fe65489deb5042bc54bf658f53be78a61bc16fe336ca47503dc1f.png" />
+<img alt="../_images/8f471c7dab50884209cdb220a5ddff2b87d908a1436a83f26c573357dfb0f8c7.png" src="../_images/8f471c7dab50884209cdb220a5ddff2b87d908a1436a83f26c573357dfb0f8c7.png" />
 </div>
 </div>
 <p>The returned FacetGrid object <code class="docutils literal notranslate"><span class="pre">fg</span></code> has many useful properties and methods e.g.</p>
@@ -608,7 +625,7 @@ <h2>Customizing<a class="headerlink" href="#customizing" title="Permalink to thi
 </ol>
 <p>See the <a class="reference external" href="https://docs.xarray.dev/en/stable/api.html#faceting">documentation</a> for a full list.</p>
 <section id="exercise">
-<h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this headline">#</a></h3>
+<h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this heading">#</a></h3>
 <p>Use these methods to set a title for the figure using <code class="docutils literal notranslate"><span class="pre">suptitle</span></code>, as well as
 change the x- and y-labels.</p>
 <div class="cell docutils container">
@@ -618,7 +635,7 @@ <h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this head
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7f7d5610a110&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7fc185fbc590&gt;
 </pre></div>
 </div>
 </div>
@@ -626,7 +643,7 @@ <h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this head
 </section>
 </section>
 <section id="modifying-all-facets">
-<h2>Modifying all facets<a class="headerlink" href="#modifying-all-facets" title="Permalink to this headline">#</a></h2>
+<h2>Modifying all facets<a class="headerlink" href="#modifying-all-facets" title="Permalink to this heading">#</a></h2>
 <p>The FacetGrid object has some more advanced methods that let you customize the
 plot further.</p>
 <p>Here we illustrate the use of <code class="docutils literal notranslate"><span class="pre">map</span></code> and <code class="docutils literal notranslate"><span class="pre">map_dataarray</span></code> that let you map custom
@@ -649,15 +666,15 @@ <h2>Modifying all facets<a class="headerlink" href="#modifying-all-facets" title
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7f7d5e3dd6d0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7fc1861b4590&gt;
 </pre></div>
 </div>
-<img alt="../_images/0d66896768bbcf2d8c3994281aa33a6bb49c27ef8888c71669b297c276102805.png" src="../_images/0d66896768bbcf2d8c3994281aa33a6bb49c27ef8888c71669b297c276102805.png" />
+<img alt="../_images/4b2f22cade5338aa6874dcbd6947cfbebd34ee10714cb7c64ecfe4715149ffcb.png" src="../_images/4b2f22cade5338aa6874dcbd6947cfbebd34ee10714cb7c64ecfe4715149ffcb.png" />
 </div>
 </div>
 </section>
 <section id="faceting-multiple-dataarrays">
-<h2>Faceting multiple DataArrays<a class="headerlink" href="#faceting-multiple-dataarrays" title="Permalink to this headline">#</a></h2>
+<h2>Faceting multiple DataArrays<a class="headerlink" href="#faceting-multiple-dataarrays" title="Permalink to this heading">#</a></h2>
 <p>Faceting can be used to plot multiple DataArrays in a Dataset. The trick is to
 use <code class="docutils literal notranslate"><span class="pre">to_array()</span></code> to convert a Dataset to a DataArray and then facet that.</p>
 <p>This trick only works when it is sensible to use the same colormap and color
@@ -1085,7 +1102,7 @@ <h2>Faceting multiple DataArrays<a class="headerlink" href="#faceting-multiple-d
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>gradient</span>: 2</li><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-40af1679-b5f7-4b40-805e-9838ca1af5a7' class='xr-array-in' type='checkbox' checked><label for='section-40af1679-b5f7-4b40-805e-9838ca1af5a7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.082e-07 -9.469e-07 -4.035e-06 ... -2.837e-06 -2.738e-06 -3.872e-06</span></div><div class='xr-array-data'><pre>array([[[[ 5.08173684e-07, -9.46942578e-07, -4.03479180e-06, ...,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>gradient</span>: 2</li><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1fe3fbe0-0355-4472-82f0-1e81e83ccb22' class='xr-array-in' type='checkbox' checked><label for='section-1fe3fbe0-0355-4472-82f0-1e81e83ccb22' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.082e-07 -9.469e-07 -4.035e-06 ... -2.837e-06 -2.738e-06 -3.872e-06</span></div><div class='xr-array-data'><pre>array([[[[ 5.08173684e-07, -9.46942578e-07, -4.03479180e-06, ...,
            1.00858488e-05,  1.81633768e-05,  2.19007525e-05],
          [ 6.02189118e-07, -8.90132014e-07, -4.25928238e-06, ...,
            1.44879168e-05,  3.15986872e-05,  3.92536967e-05],
@@ -1125,23 +1142,23 @@ <h2>Faceting multiple DataArrays<a class="headerlink" href="#faceting-multiple-d
           -2.17964885e-06, -2.80768063e-06, -3.58095190e-06],
          [-1.57234820e-06, -2.31013792e-06, -2.78555922e-06, ...,
           -2.83686700e-06, -2.73794444e-06, -3.87158479e-06]]]],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-5b0450ff-f1e6-4842-b6ca-431e7fb720cd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5b0450ff-f1e6-4842-b6ca-431e7fb720cd' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-472e3058-47f4-4a05-802e-b4d918217326' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-472e3058-47f4-4a05-802e-b4d918217326' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75373176-f7c9-4f22-a45e-0adc7d9aa2e4' class='xr-var-data-in' type='checkbox'><label for='data-75373176-f7c9-4f22-a45e-0adc7d9aa2e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a908b728-a420-410f-8267-e0249ffd4ae1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a908b728-a420-410f-8267-e0249ffd4ae1' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-cc572ebc-e52d-42b4-8f9f-6f897a662a82' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc572ebc-e52d-42b4-8f9f-6f897a662a82' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22f8175b-43f3-41f0-a883-40cfc0157361' class='xr-var-data-in' type='checkbox'><label for='data-22f8175b-43f3-41f0-a883-40cfc0157361' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-fc0e21e2-350e-4e34-8f35-cf2b7a40ffd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc0e21e2-350e-4e34-8f35-cf2b7a40ffd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-038c57a9-5546-4e00-aa2a-4eeb5e7f0d97' class='xr-var-data-in' type='checkbox'><label for='data-038c57a9-5546-4e00-aa2a-4eeb5e7f0d97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-f577820e-b634-4ed7-a69b-371021ec401d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f577820e-b634-4ed7-a69b-371021ec401d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c84c6e5-134f-480a-ba8c-45afca49a42f' class='xr-var-data-in' type='checkbox'><label for='data-8c84c6e5-134f-480a-ba8c-45afca49a42f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-394b169d-4bf9-4fa5-9fe7-27e1569079ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-394b169d-4bf9-4fa5-9fe7-27e1569079ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3b39daf-c3c2-4fd7-a46f-01b6073853e0' class='xr-var-data-in' type='checkbox'><label for='data-e3b39daf-c3c2-4fd7-a46f-01b6073853e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>gradient</span></div><div class='xr-var-dims'>(gradient)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;dTdx&#x27; &#x27;dTdy&#x27;</div><input id='attrs-d2bd866b-71b8-4652-8888-9761cce96b36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2bd866b-71b8-4652-8888-9761cce96b36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea9a6c5e-4e70-4bcf-b8c2-c32998b88267' class='xr-var-data-in' type='checkbox'><label for='data-ea9a6c5e-4e70-4bcf-b8c2-c32998b88267' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;dTdx&#x27;, &#x27;dTdy&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa76d9c9-58a3-408d-b060-95f5fb20c301' class='xr-section-summary-in' type='checkbox'  ><label for='section-fa76d9c9-58a3-408d-b060-95f5fb20c301' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d15db13d-494f-4236-9f5a-196c443ca618' class='xr-index-data-in' type='checkbox'/><label for='index-d15db13d-494f-4236-9f5a-196c443ca618' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-3b6ac4c5-f987-401a-864b-7a42d18b10bd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3b6ac4c5-f987-401a-864b-7a42d18b10bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1c571dd-4921-4a33-bda0-21514e0ccd42' class='xr-var-data-in' type='checkbox'><label for='data-f1c571dd-4921-4a33-bda0-21514e0ccd42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>gradient</span></div><div class='xr-var-dims'>(gradient)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;dTdx&#x27; &#x27;dTdy&#x27;</div><input id='attrs-3681c8b7-71d0-4a7f-ab03-01140f734d15' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3681c8b7-71d0-4a7f-ab03-01140f734d15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1aba047-50d1-4419-a476-1546b5904acd' class='xr-var-data-in' type='checkbox'><label for='data-e1aba047-50d1-4419-a476-1546b5904acd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;dTdx&#x27;, &#x27;dTdy&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8038fbc0-5ef3-41d1-b30e-f081fe01309a' class='xr-section-summary-in' type='checkbox'  ><label for='section-8038fbc0-5ef3-41d1-b30e-f081fe01309a' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-16166b11-6b73-46b6-975b-861708680f00' class='xr-index-data-in' type='checkbox'/><label for='index-16166b11-6b73-46b6-975b-861708680f00' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-80bad6fc-0e4f-42bd-9de6-19bf7bd6efd2' class='xr-index-data-in' type='checkbox'/><label for='index-80bad6fc-0e4f-42bd-9de6-19bf7bd6efd2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-50a2dc3b-4a14-4528-b4ed-1db648648866' class='xr-index-data-in' type='checkbox'/><label for='index-50a2dc3b-4a14-4528-b4ed-1db648648866' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8e01391d-8cef-4d9c-b765-022bb261bff2' class='xr-index-data-in' type='checkbox'/><label for='index-8e01391d-8cef-4d9c-b765-022bb261bff2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>gradient</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-595690b4-8aac-4cbc-b806-2b77c7938c9f' class='xr-index-data-in' type='checkbox'/><label for='index-595690b4-8aac-4cbc-b806-2b77c7938c9f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;dTdx&#x27;, &#x27;dTdy&#x27;], dtype=&#x27;object&#x27;, name=&#x27;gradient&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f52a192-0d86-47b4-8407-e00a2a162fa7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8f52a192-0d86-47b4-8407-e00a2a162fa7' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dbb0cfe2-9e98-45d4-bd18-7edf0e71c69d' class='xr-index-data-in' type='checkbox'/><label for='index-dbb0cfe2-9e98-45d4-bd18-7edf0e71c69d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>gradient</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-50155737-be72-4ad6-8dd1-270809ce5772' class='xr-index-data-in' type='checkbox'/><label for='index-50155737-be72-4ad6-8dd1-270809ce5772' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;dTdx&#x27;, &#x27;dTdy&#x27;], dtype=&#x27;object&#x27;, name=&#x27;gradient&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3f5e10f1-864e-44fe-b58a-fe3d16bf7400' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3f5e10f1-864e-44fe-b58a-fe3d16bf7400' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -1163,7 +1180,7 @@ <h2>Faceting multiple DataArrays<a class="headerlink" href="#faceting-multiple-d
 </div>
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+<img alt="../_images/f5047870184a4ace49a9d5afef93f06018bb8a70fb07e1a40251ff6497b671d9.png" src="../_images/f5047870184a4ace49a9d5afef93f06018bb8a70fb07e1a40251ff6497b671d9.png" />
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@@ -1194,11 +1211,10 @@ <h2>Faceting multiple DataArrays<a class="headerlink" href="#faceting-multiple-d
 
               
               
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diff --git a/fundamentals/04.3_geographic_plotting.html b/fundamentals/04.3_geographic_plotting.html
index db24d1df..4fb58e44 100644
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+++ b/fundamentals/04.3_geographic_plotting.html
@@ -3,7 +3,7 @@
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@@ -83,7 +85,15 @@
 
   
   
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+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
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@@ -513,11 +530,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="geography-with-cartopy">
-<h1>Geography with Cartopy<a class="headerlink" href="#geography-with-cartopy" title="Permalink to this headline">#</a></h1>
+<h1>Geography with Cartopy<a class="headerlink" href="#geography-with-cartopy" title="Permalink to this heading">#</a></h1>
 <p>Since xarray’s default plotting functionality builds on matplotlib, we can
 seamlessly use cartopy to make nice maps:</p>
 <ol class="arabic simple">
@@ -550,7 +567,7 @@ <h1>Geography with Cartopy<a class="headerlink" href="#geography-with-cartopy" t
 </div>
 </div>
 <section id="basic-plot">
-<h2>Basic plot<a class="headerlink" href="#basic-plot" title="Permalink to this headline">#</a></h2>
+<h2>Basic plot<a class="headerlink" href="#basic-plot" title="Permalink to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axis</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">subplot_kw</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">projection</span><span class="o">=</span><span class="n">ccrs</span><span class="o">.</span><span class="n">Orthographic</span><span class="p">(</span><span class="o">-</span><span class="mi">90</span><span class="p">,</span> <span class="mi">30</span><span class="p">)))</span>
@@ -567,19 +584,19 @@ <h2>Basic plot<a class="headerlink" href="#basic-plot" title="Permalink to this
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7f8b4de1ed50&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;cartopy.mpl.feature_artist.FeatureArtist at 0x7ff82d1c0390&gt;
 </pre></div>
 </div>
 <div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/110m_physical/ne_110m_coastline.zip
   warnings.warn(f&#39;Downloading: {url}&#39;, DownloadWarning)
 </pre></div>
 </div>
-<img alt="../_images/c7a150cea4895efe09586db0771a09228dfa1b3c199c61bfa78156739cfcec75.png" src="../_images/c7a150cea4895efe09586db0771a09228dfa1b3c199c61bfa78156739cfcec75.png" />
+<img alt="../_images/6aa88550f7b7fe93a508059baee9ec32731ef8de2cd6fd18483ebae74f21b543.png" src="../_images/6aa88550f7b7fe93a508059baee9ec32731ef8de2cd6fd18483ebae74f21b543.png" />
 </div>
 </div>
 </section>
 <section id="faceting-maps">
-<h2>Faceting maps<a class="headerlink" href="#faceting-maps" title="Permalink to this headline">#</a></h2>
+<h2>Faceting maps<a class="headerlink" href="#faceting-maps" title="Permalink to this heading">#</a></h2>
 <p>We can make faceted maps. Since <code class="docutils literal notranslate"><span class="pre">FacetGrid</span></code> creates the axes it plots to, we
 need to pass the <code class="docutils literal notranslate"><span class="pre">projection</span></code> kwarg in <code class="docutils literal notranslate"><span class="pre">subplot_kws</span></code>. This makes sure that the
 subplots are set up properly for cartopy.</p>
@@ -600,10 +617,10 @@ <h2>Faceting maps<a class="headerlink" href="#faceting-maps" title="Permalink to
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7f8b38d8d250&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7ff82c8c9590&gt;
 </pre></div>
 </div>
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+<img alt="../_images/d42ea224879b0993d6348e40f1a973f9138cbe5f2aeef7f1f5983857069ef1e5.png" src="../_images/d42ea224879b0993d6348e40f1a973f9138cbe5f2aeef7f1f5983857069ef1e5.png" />
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@@ -634,11 +651,10 @@ <h2>Faceting maps<a class="headerlink" href="#faceting-maps" title="Permalink to
 
               
               
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@@ -699,6 +713,7 @@ <h2>Faceting maps<a class="headerlink" href="#faceting-maps" title="Permalink to
   
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@@ -403,7 +422,7 @@ <h1></h1>
               
                 
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@@ -472,22 +491,20 @@ <h2 id="Z">Z</h2>
 
               
               
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diff --git a/intermediate/01-high-level-computation-patterns.html b/intermediate/01-high-level-computation-patterns.html
index 73217a88..e0ff990c 100644
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+++ b/intermediate/01-high-level-computation-patterns.html
@@ -3,7 +3,7 @@
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@@ -144,13 +158,14 @@
   
   
   
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@@ -559,10 +576,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="computational-patterns">
-<h1>Computational Patterns<a class="headerlink" href="#computational-patterns" title="Permalink to this headline">#</a></h1>
+<h1>Computational Patterns<a class="headerlink" href="#computational-patterns" title="Permalink to this heading">#</a></h1>
 <p>Often when writing code we repeat certain patterns, whether we realize it or not.
 If you have learned to write list comprehensions, you are taking advantage of a “control pattern”.
 Often, these patterns are so common that many packages have built in functions to implement them.</p>
@@ -584,7 +601,7 @@ <h1>Computational Patterns<a class="headerlink" href="#computational-patterns" t
 <p>The concepts covered here, particularly the emphasis on deleting for loops and focusing on large elements of the computation, are very related to the <a class="reference external" href="https://en.wikipedia.org/wiki/Array_programming">array programming style</a> or paradigm. See this SciPy 2023 tutorial on <a class="reference external" href="https://github.com/jpivarski-talks/2023-07-11-scipy2023-tutorial-thinking-in-arrays">“Thinking Like Arrays”</a> by Jim Pivarski if you are interested in these ideas.</p>
 </div>
 <section id="motivation-learning-goals">
-<h2>Motivation / Learning goals<a class="headerlink" href="#motivation-learning-goals" title="Permalink to this headline">#</a></h2>
+<h2>Motivation / Learning goals<a class="headerlink" href="#motivation-learning-goals" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>Learn what high-level computational patterns are available in Xarray.</p></li>
 <li><p>Learn that these patterns replace common uses of the <code class="docutils literal notranslate"><span class="pre">for</span></code> loop.</p></li>
@@ -594,7 +611,7 @@ <h2>Motivation / Learning goals<a class="headerlink" href="#motivation-learning-
 </ul>
 </section>
 <section id="xarray-s-high-level-patterns">
-<h2>Xarray’s high-level patterns<a class="headerlink" href="#xarray-s-high-level-patterns" title="Permalink to this headline">#</a></h2>
+<h2>Xarray’s high-level patterns<a class="headerlink" href="#xarray-s-high-level-patterns" title="Permalink to this heading">#</a></h2>
 <p>Xarray allows you to leverage dataset metadata to write more readable analysis
 code. The metadata is stored with the data; not in your head.</p>
 <ol class="arabic simple">
@@ -622,7 +639,7 @@ <h2>Xarray’s high-level patterns<a class="headerlink" href="#xarray-s-high-lev
 <p>The documentation links in this tutorial point to the DataArray implementations of each function, but they are also available for DataSet objects.</p>
 </div>
 <section id="load-example-dataset">
-<h3>Load example dataset<a class="headerlink" href="#load-example-dataset" title="Permalink to this headline">#</a></h3>
+<h3>Load example dataset<a class="headerlink" href="#load-example-dataset" title="Permalink to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
@@ -641,7 +658,11 @@ <h3>Load example dataset<a class="headerlink" href="#load-example-dataset" title
 </div>
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+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/groupby.py:534: FutureWarning: &#39;M&#39; is deprecated and will be removed in a future version, please use &#39;ME&#39; instead.
+  index_grouper = pd.Grouper(
+</pre></div>
+</div>
+<img alt="../_images/84aa772cf2789dbcf3a926a364101f90c021b49a76710c1c4b8b2f5988d106e5.png" src="../_images/84aa772cf2789dbcf3a926a364101f90c021b49a76710c1c4b8b2f5988d106e5.png" />
 </div>
 </div>
 <div class="cell docutils container">
@@ -1031,7 +1052,7 @@ <h3>Load example dataset<a class="headerlink" href="#load-example-dataset" title
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3e1ad7ed-29bf-47c0-a92f-0e0026dfc4e8' class='xr-array-in' type='checkbox' ><label for='section-3e1ad7ed-29bf-47c0-a92f-0e0026dfc4e8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cf3d8a9d-c935-410a-bdb4-cde1e9cc5a36' class='xr-array-in' type='checkbox' ><label for='section-cf3d8a9d-c935-410a-bdb4-cde1e9cc5a36' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -1071,26 +1092,26 @@ <h3>Load example dataset<a class="headerlink" href="#load-example-dataset" title
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-32cd983b-07cf-4f8b-9874-a32103887f7e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-32cd983b-07cf-4f8b-9874-a32103887f7e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-569eab81-88bc-42fc-9e31-1edfba42382b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-569eab81-88bc-42fc-9e31-1edfba42382b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff0fa33b-5c91-4ed7-8c2e-7ddbc5db3d46' class='xr-var-data-in' type='checkbox'><label for='data-ff0fa33b-5c91-4ed7-8c2e-7ddbc5db3d46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-262b9123-f652-4dea-81c8-3f325713a36b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-262b9123-f652-4dea-81c8-3f325713a36b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-ec80b11a-afc9-4534-a7f7-e13497f24ff6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec80b11a-afc9-4534-a7f7-e13497f24ff6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59622005-7c65-4094-b56c-7bbea3ac8a16' class='xr-var-data-in' type='checkbox'><label for='data-59622005-7c65-4094-b56c-7bbea3ac8a16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ec7b67d2-3ae8-4ee6-b78f-3c9fb3505954' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec7b67d2-3ae8-4ee6-b78f-3c9fb3505954' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d98498f-01d1-41e4-beb4-7ef98f5d68b7' class='xr-var-data-in' type='checkbox'><label for='data-5d98498f-01d1-41e4-beb4-7ef98f5d68b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-d9890cc7-c73d-45a3-b034-2438af0e2140' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9890cc7-c73d-45a3-b034-2438af0e2140' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86bb9dab-50b8-4c71-9619-5246842e4e01' class='xr-var-data-in' type='checkbox'><label for='data-86bb9dab-50b8-4c71-9619-5246842e4e01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9f64e8b0-eaa9-4f4b-8601-f372ef711ea3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f64e8b0-eaa9-4f4b-8601-f372ef711ea3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9af7cc4c-647c-41e9-add3-0d9487578ce9' class='xr-var-data-in' type='checkbox'><label for='data-9af7cc4c-647c-41e9-add3-0d9487578ce9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-ccee1715-407d-411d-aae3-fb49f4a7b7ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccee1715-407d-411d-aae3-fb49f4a7b7ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00c75437-e490-4ccf-b6db-dff5cf116d0d' class='xr-var-data-in' type='checkbox'><label for='data-00c75437-e490-4ccf-b6db-dff5cf116d0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f8a0de71-0e0a-4185-ab72-8e8b32687478' class='xr-section-summary-in' type='checkbox'  ><label for='section-f8a0de71-0e0a-4185-ab72-8e8b32687478' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3320f4e2-a565-46ce-8e7a-41f3278a1fb4' class='xr-index-data-in' type='checkbox'/><label for='index-3320f4e2-a565-46ce-8e7a-41f3278a1fb4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b2da2f6-f165-403f-90a0-cc232208a700' class='xr-section-summary-in' type='checkbox'  ><label for='section-0b2da2f6-f165-403f-90a0-cc232208a700' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-70c84c50-38cb-4159-a20c-5fc9852b14fc' class='xr-index-data-in' type='checkbox'/><label for='index-70c84c50-38cb-4159-a20c-5fc9852b14fc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3c69000e-7c9d-4e6c-9d09-9d86a1f96483' class='xr-index-data-in' type='checkbox'/><label for='index-3c69000e-7c9d-4e6c-9d09-9d86a1f96483' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bbf2778a-0fc4-4e34-b0d1-1d05cef8d595' class='xr-index-data-in' type='checkbox'/><label for='index-bbf2778a-0fc4-4e34-b0d1-1d05cef8d595' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5514bae7-6cf4-43a1-9e91-0bb55bf125b5' class='xr-index-data-in' type='checkbox'/><label for='index-5514bae7-6cf4-43a1-9e91-0bb55bf125b5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-57f00f37-c61c-4bce-bd7a-6ef06bed3277' class='xr-index-data-in' type='checkbox'/><label for='index-57f00f37-c61c-4bce-bd7a-6ef06bed3277' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1101,12 +1122,12 @@ <h3>Load example dataset<a class="headerlink" href="#load-example-dataset" title
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf11d294-ef20-4e8d-85a7-6dbd295eb917' class='xr-section-summary-in' type='checkbox'  ><label for='section-cf11d294-ef20-4e8d-85a7-6dbd295eb917' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-518bc073-7ef9-4c02-84e4-647d8341083d' class='xr-section-summary-in' type='checkbox'  ><label for='section-518bc073-7ef9-4c02-84e4-647d8341083d' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <hr class="docutils" />
 <section id="identifying-high-level-computation-patterns">
-<h3>Identifying high-level computation patterns<a class="headerlink" href="#identifying-high-level-computation-patterns" title="Permalink to this headline">#</a></h3>
+<h3>Identifying high-level computation patterns<a class="headerlink" href="#identifying-high-level-computation-patterns" title="Permalink to this heading">#</a></h3>
 <p><em>or, when should I use these functions?</em></p>
 <p>Consider a common use case. We want to complete some “task” for each of “something”. The “task” might be a computation (e.g. mean, median, plot). The “something” could be a group of array values (e.g. pixels) or segments of time (e.g. monthly or seasonally).</p>
 <p>Often, our solution to this type of problem is to write a for loop. Say we want the average air temperature for each month across the entire domain (all lat and lon values):</p>
@@ -1184,7 +1205,7 @@ <h3>Identifying high-level computation patterns<a class="headerlink" href="#iden
 </section>
 <hr class="docutils" />
 <section id="concept-refresher-index-space-vs-label-space">
-<h3>Concept refresher: “index space” vs “label space”<a class="headerlink" href="#concept-refresher-index-space-vs-label-space" title="Permalink to this headline">#</a></h3>
+<h3>Concept refresher: “index space” vs “label space”<a class="headerlink" href="#concept-refresher-index-space-vs-label-space" title="Permalink to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">data</span>
@@ -1572,7 +1593,7 @@ <h3>Concept refresher: “index space” vs “label space”<a class="headerlin
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4056226e-211b-4326-972f-3e86d0f276b4' class='xr-array-in' type='checkbox' ><label for='section-4056226e-211b-4326-972f-3e86d0f276b4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.8 297.6 296.9 296.8 296.6</span></div><div class='xr-array-data'><pre>array([[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f9029e5d-46c2-408c-ab98-3715d8e14b2c' class='xr-array-in' type='checkbox' ><label for='section-f9029e5d-46c2-408c-ab98-3715d8e14b2c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.8 297.6 296.9 296.8 296.6</span></div><div class='xr-array-data'><pre>array([[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
         238.59999],
        [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
         239.29999],
@@ -1584,23 +1605,23 @@ <h3>Concept refresher: “index space” vs “label space”<a class="headerlin
        [295.9    , 296.19998, 296.79   , ..., 295.9    , 295.9    ,
         295.19998],
        [296.29   , 296.79   , 297.1    , ..., 296.9    , 296.79   ,
-        296.6    ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b877ae31-3446-455c-a70e-eb7f4df736b3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b877ae31-3446-455c-a70e-eb7f4df736b3' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-2f17024f-ea6d-4496-819f-c443947e9f3a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f17024f-ea6d-4496-819f-c443947e9f3a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a3121f8-8afd-4f6f-8675-24ed9efd214f' class='xr-var-data-in' type='checkbox'><label for='data-9a3121f8-8afd-4f6f-8675-24ed9efd214f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        296.6    ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-eaf4d824-8bf0-4a72-b2dc-976269740ef2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eaf4d824-8bf0-4a72-b2dc-976269740ef2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a62d696f-b9b8-4f89-ba3a-ea60d426ca52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a62d696f-b9b8-4f89-ba3a-ea60d426ca52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-063a79ea-e3d7-4a88-9c1d-c5862dc1bbb0' class='xr-var-data-in' type='checkbox'><label for='data-063a79ea-e3d7-4a88-9c1d-c5862dc1bbb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-28af48f5-73b4-4c49-ae3a-b9083bc5a8ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28af48f5-73b4-4c49-ae3a-b9083bc5a8ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3344de2-bfc8-49b3-a34e-000e446b34df' class='xr-var-data-in' type='checkbox'><label for='data-d3344de2-bfc8-49b3-a34e-000e446b34df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-1d3306e3-eb84-4a0a-9760-39058e2b6207' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d3306e3-eb84-4a0a-9760-39058e2b6207' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26fa583f-a1b8-4651-a4f6-ed775cb73cd2' class='xr-var-data-in' type='checkbox'><label for='data-26fa583f-a1b8-4651-a4f6-ed775cb73cd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-cb2071c2-f353-4e6f-b96c-b6c2561c9ca3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb2071c2-f353-4e6f-b96c-b6c2561c9ca3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63ca252d-40e4-42b9-9a07-0e7d9ecefdde' class='xr-var-data-in' type='checkbox'><label for='data-63ca252d-40e4-42b9-9a07-0e7d9ecefdde' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-262e88ad-1d36-4ada-ad25-b61e39d2b331' class='xr-section-summary-in' type='checkbox'  ><label for='section-262e88ad-1d36-4ada-ad25-b61e39d2b331' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8a1d2923-61a3-40b7-b6aa-0af7e88f9ddd' class='xr-index-data-in' type='checkbox'/><label for='index-8a1d2923-61a3-40b7-b6aa-0af7e88f9ddd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-49c6f6ba-3161-4620-b9d8-f3162faf4626' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49c6f6ba-3161-4620-b9d8-f3162faf4626' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-654c9e1a-588c-4224-b72e-18b7879bf42f' class='xr-var-data-in' type='checkbox'><label for='data-654c9e1a-588c-4224-b72e-18b7879bf42f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-46fcfc0e-053a-4be7-a57a-e89f632bff3a' class='xr-section-summary-in' type='checkbox'  ><label for='section-46fcfc0e-053a-4be7-a57a-e89f632bff3a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-abc72f31-c882-45b9-8184-ba82f039536d' class='xr-index-data-in' type='checkbox'/><label for='index-abc72f31-c882-45b9-8184-ba82f039536d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-92e5943f-8e23-422f-a059-acf5e776cfcf' class='xr-index-data-in' type='checkbox'/><label for='index-92e5943f-8e23-422f-a059-acf5e776cfcf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c0b6e465-a586-4fc9-84e6-c5e4f82b7554' class='xr-index-data-in' type='checkbox'/><label for='index-c0b6e465-a586-4fc9-84e6-c5e4f82b7554' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0afe28d5-5fe4-4ce1-b05f-d33f5816b191' class='xr-section-summary-in' type='checkbox'  ><label for='section-0afe28d5-5fe4-4ce1-b05f-d33f5816b191' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f1e8e0fa-77b6-447e-9a94-16087ce26a0c' class='xr-section-summary-in' type='checkbox'  ><label for='section-f1e8e0fa-77b6-447e-9a94-16087ce26a0c' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1990,7 +2011,7 @@ <h3>Concept refresher: “index space” vs “label space”<a class="headerlin
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6e7ac998-d085-4e7c-969e-fe71a2b4afb6' class='xr-array-in' type='checkbox' ><label for='section-6e7ac998-d085-4e7c-969e-fe71a2b4afb6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>277.3 277.4 277.8 278.6 279.5 280.1 ... 282.9 284.7 286.1 286.9 286.6</span></div><div class='xr-array-data'><pre>array([277.29   , 277.4    , 277.79   , 278.6    , 279.5    , 280.1    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f11e7447-cbaf-4016-add4-37897fc062b2' class='xr-array-in' type='checkbox' ><label for='section-f11e7447-cbaf-4016-add4-37897fc062b2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>277.3 277.4 277.8 278.6 279.5 280.1 ... 282.9 284.7 286.1 286.9 286.6</span></div><div class='xr-array-data'><pre>array([277.29   , 277.4    , 277.79   , 278.6    , 279.5    , 280.1    ,
        280.6    , 280.9    , 280.79   , 280.69998, 280.79   , 281.     ,
        280.29   , 277.69998, 273.5    , 269.     , 265.5    , 264.     ,
        265.19998, 268.1    , 269.79   , 267.9    , 263.     , 258.1    ,
@@ -1999,18 +2020,18 @@ <h3>Concept refresher: “index space” vs “label space”<a class="headerlin
        255.5    , 258.29   , 264.     , 268.69998, 270.5    , 270.6    ,
        271.19998, 272.9    , 274.79   , 276.4    , 278.19998, 280.5    ,
        282.9    , 284.69998, 286.1    , 286.9    , 286.6    ],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-3a5356de-8d16-4394-a28b-1334e5201c27' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3a5356de-8d16-4394-a28b-1334e5201c27' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-f31e2fc5-3039-48d3-90b3-2a62d4e5e9e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f31e2fc5-3039-48d3-90b3-2a62d4e5e9e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9e6840f-b683-45bc-bc92-28b5387bffcb' class='xr-var-data-in' type='checkbox'><label for='data-a9e6840f-b683-45bc-bc92-28b5387bffcb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-047af7dd-c30c-4a61-a959-16ce24b20e21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-047af7dd-c30c-4a61-a959-16ce24b20e21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f9df9b5-5ca7-4a92-9ebf-60b1d1fab242' class='xr-var-data-in' type='checkbox'><label for='data-4f9df9b5-5ca7-4a92-9ebf-60b1d1fab242' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-571829fc-ae2d-42bc-b2d7-88d8e57da57c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-571829fc-ae2d-42bc-b2d7-88d8e57da57c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-cabd6137-129c-4322-b1cd-56473d78402b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cabd6137-129c-4322-b1cd-56473d78402b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8001d47-3078-4fda-bdab-e92656b64505' class='xr-var-data-in' type='checkbox'><label for='data-d8001d47-3078-4fda-bdab-e92656b64505' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-b938ed9f-4861-4605-8984-e037d08bf687' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b938ed9f-4861-4605-8984-e037d08bf687' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-522d4e02-9204-4bb7-860c-a7e150cccec5' class='xr-var-data-in' type='checkbox'><label for='data-522d4e02-9204-4bb7-860c-a7e150cccec5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-f66acd7e-4c36-44d4-b2a1-fd1dfd694fe8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f66acd7e-4c36-44d4-b2a1-fd1dfd694fe8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf9c3d76-a8aa-46e3-93d6-f445e33c6896' class='xr-var-data-in' type='checkbox'><label for='data-cf9c3d76-a8aa-46e3-93d6-f445e33c6896' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-46df383b-67d7-4aee-8361-cbd33ddb2f5f' class='xr-section-summary-in' type='checkbox'  ><label for='section-46df383b-67d7-4aee-8361-cbd33ddb2f5f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-327b4af3-0083-4a99-9bfc-c5701899c471' class='xr-index-data-in' type='checkbox'/><label for='index-327b4af3-0083-4a99-9bfc-c5701899c471' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-86d364ac-82ec-4156-9ee4-1da657a5b3de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86d364ac-82ec-4156-9ee4-1da657a5b3de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40577a7a-a761-4334-96eb-b67e6a987d07' class='xr-var-data-in' type='checkbox'><label for='data-40577a7a-a761-4334-96eb-b67e6a987d07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e9e33af-b6ca-4cfc-be95-928282321823' class='xr-section-summary-in' type='checkbox'  ><label for='section-2e9e33af-b6ca-4cfc-be95-928282321823' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9374bd90-2f81-4427-9229-9b53bfb720d4' class='xr-index-data-in' type='checkbox'/><label for='index-9374bd90-2f81-4427-9229-9b53bfb720d4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c84b5428-2825-45a6-9e19-26c7316c1a90' class='xr-section-summary-in' type='checkbox'  ><label for='section-c84b5428-2825-45a6-9e19-26c7316c1a90' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-769b0b43-2883-4a02-9a24-b16c3385d9a8' class='xr-section-summary-in' type='checkbox'  ><label for='section-769b0b43-2883-4a02-9a24-b16c3385d9a8' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2400,7 +2421,7 @@ <h3>Concept refresher: “index space” vs “label space”<a class="headerlin
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c7426dba-91f4-4cfe-b3f3-3644bd80692a' class='xr-array-in' type='checkbox' ><label for='section-c7426dba-91f4-4cfe-b3f3-3644bd80692a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>277.3 277.4 277.8 278.6 279.5 280.1 ... 282.9 284.7 286.1 286.9 286.6</span></div><div class='xr-array-data'><pre>array([277.29   , 277.4    , 277.79   , 278.6    , 279.5    , 280.1    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b21d3ac3-19fb-4ec6-9dd0-371996c24545' class='xr-array-in' type='checkbox' ><label for='section-b21d3ac3-19fb-4ec6-9dd0-371996c24545' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>277.3 277.4 277.8 278.6 279.5 280.1 ... 282.9 284.7 286.1 286.9 286.6</span></div><div class='xr-array-data'><pre>array([277.29   , 277.4    , 277.79   , 278.6    , 279.5    , 280.1    ,
        280.6    , 280.9    , 280.79   , 280.69998, 280.79   , 281.     ,
        280.29   , 277.69998, 273.5    , 269.     , 265.5    , 264.     ,
        265.19998, 268.1    , 269.79   , 267.9    , 263.     , 258.1    ,
@@ -2409,18 +2430,18 @@ <h3>Concept refresher: “index space” vs “label space”<a class="headerlin
        255.5    , 258.29   , 264.     , 268.69998, 270.5    , 270.6    ,
        271.19998, 272.9    , 274.79   , 276.4    , 278.19998, 280.5    ,
        282.9    , 284.69998, 286.1    , 286.9    , 286.6    ],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-f55bb62d-d8c6-4ea6-b319-66fe4173ef82' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f55bb62d-d8c6-4ea6-b319-66fe4173ef82' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-73fb196d-1cf1-4521-9be8-ad80add73844' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73fb196d-1cf1-4521-9be8-ad80add73844' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfce82c8-939f-4f7d-91c2-3ebe2ca3d31e' class='xr-var-data-in' type='checkbox'><label for='data-dfce82c8-939f-4f7d-91c2-3ebe2ca3d31e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-af952245-a7b4-4386-9fd6-e7d2a0910bd0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af952245-a7b4-4386-9fd6-e7d2a0910bd0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb2d47d9-c333-440e-83ed-3fb85e862009' class='xr-var-data-in' type='checkbox'><label for='data-fb2d47d9-c333-440e-83ed-3fb85e862009' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-8493debc-1486-40c8-9cae-49e0708ff506' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8493debc-1486-40c8-9cae-49e0708ff506' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-46ff475c-978c-4915-8617-315c12ce46be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46ff475c-978c-4915-8617-315c12ce46be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d48acd0d-6715-41a3-a354-10d7a64940ea' class='xr-var-data-in' type='checkbox'><label for='data-d48acd0d-6715-41a3-a354-10d7a64940ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-9252d959-86cc-4d33-9282-4d507ade08a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9252d959-86cc-4d33-9282-4d507ade08a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fa94354-a48a-4ef9-a833-9ae04a1d1b4e' class='xr-var-data-in' type='checkbox'><label for='data-9fa94354-a48a-4ef9-a833-9ae04a1d1b4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-b0ebf207-b373-420e-afe8-1d1e2cf7ea16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0ebf207-b373-420e-afe8-1d1e2cf7ea16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b73f94d-c625-4f99-94ea-c7ae8e4ad910' class='xr-var-data-in' type='checkbox'><label for='data-7b73f94d-c625-4f99-94ea-c7ae8e4ad910' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0f1e5e5c-a04c-46cf-a86d-9f7c7359b347' class='xr-section-summary-in' type='checkbox'  ><label for='section-0f1e5e5c-a04c-46cf-a86d-9f7c7359b347' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1a43e5a0-9444-470c-9fa1-c1ea5cf96c52' class='xr-index-data-in' type='checkbox'/><label for='index-1a43e5a0-9444-470c-9fa1-c1ea5cf96c52' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-f97eeafe-476e-415c-9509-65e263286cdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f97eeafe-476e-415c-9509-65e263286cdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6f2f62b-a992-4a69-a9d2-89b6c09ff7bb' class='xr-var-data-in' type='checkbox'><label for='data-b6f2f62b-a992-4a69-a9d2-89b6c09ff7bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cedb7700-95bd-4ffd-b414-d66a8ad6ce52' class='xr-section-summary-in' type='checkbox'  ><label for='section-cedb7700-95bd-4ffd-b414-d66a8ad6ce52' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-48e214c2-2ffd-49b8-86fe-6d825cdc7443' class='xr-index-data-in' type='checkbox'/><label for='index-48e214c2-2ffd-49b8-86fe-6d825cdc7443' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7cbedb5b-6699-481d-86f1-c6b9c8ddc418' class='xr-section-summary-in' type='checkbox'  ><label for='section-7cbedb5b-6699-481d-86f1-c6b9c8ddc418' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-99c3fa7e-5604-4618-b0fe-aeffe80b350d' class='xr-section-summary-in' type='checkbox'  ><label for='section-99c3fa7e-5604-4618-b0fe-aeffe80b350d' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2810,7 +2831,7 @@ <h3>Concept refresher: “index space” vs “label space”<a class="headerlin
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bfce307b-11d6-49e1-8389-1afcbbd9902f' class='xr-array-in' type='checkbox' ><label for='section-bfce307b-11d6-49e1-8389-1afcbbd9902f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>277.3 277.4 277.8 278.6 279.5 280.1 ... 282.9 284.7 286.1 286.9 286.6</span></div><div class='xr-array-data'><pre>array([277.29   , 277.4    , 277.79   , 278.6    , 279.5    , 280.1    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ac327832-9057-4839-bfb4-dd38ca7ab3ac' class='xr-array-in' type='checkbox' ><label for='section-ac327832-9057-4839-bfb4-dd38ca7ab3ac' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>277.3 277.4 277.8 278.6 279.5 280.1 ... 282.9 284.7 286.1 286.9 286.6</span></div><div class='xr-array-data'><pre>array([277.29   , 277.4    , 277.79   , 278.6    , 279.5    , 280.1    ,
        280.6    , 280.9    , 280.79   , 280.69998, 280.79   , 281.     ,
        280.29   , 277.69998, 273.5    , 269.     , 265.5    , 264.     ,
        265.19998, 268.1    , 269.79   , 267.9    , 263.     , 258.1    ,
@@ -2819,18 +2840,18 @@ <h3>Concept refresher: “index space” vs “label space”<a class="headerlin
        255.5    , 258.29   , 264.     , 268.69998, 270.5    , 270.6    ,
        271.19998, 272.9    , 274.79   , 276.4    , 278.19998, 280.5    ,
        282.9    , 284.69998, 286.1    , 286.9    , 286.6    ],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-acde4107-99f3-4ed8-ae12-aa3b05ca8432' class='xr-section-summary-in' type='checkbox'  checked><label for='section-acde4107-99f3-4ed8-ae12-aa3b05ca8432' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-e342a11d-664c-4574-9496-1dd7aff6ce81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e342a11d-664c-4574-9496-1dd7aff6ce81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-243454b8-ffde-44cb-aa21-a7a24b14c7b6' class='xr-var-data-in' type='checkbox'><label for='data-243454b8-ffde-44cb-aa21-a7a24b14c7b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-7a2a8bb3-9295-4786-9532-79d0b86a00eb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a2a8bb3-9295-4786-9532-79d0b86a00eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cf3c8bf-2c00-4f51-8a33-5f7a54afe4a5' class='xr-var-data-in' type='checkbox'><label for='data-2cf3c8bf-2c00-4f51-8a33-5f7a54afe4a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-94ee810d-d8ac-41da-99ef-c521c695df1b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-94ee810d-d8ac-41da-99ef-c521c695df1b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-5a308d5f-30ec-4264-b816-05a91c0f5248' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a308d5f-30ec-4264-b816-05a91c0f5248' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-958f49fd-0daa-4ac2-b289-c519d4fd0676' class='xr-var-data-in' type='checkbox'><label for='data-958f49fd-0daa-4ac2-b289-c519d4fd0676' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-67694398-2f24-4488-8812-3001e3328233' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67694398-2f24-4488-8812-3001e3328233' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a697b4a-bb20-4f20-a4a4-8cb84ba62e86' class='xr-var-data-in' type='checkbox'><label for='data-0a697b4a-bb20-4f20-a4a4-8cb84ba62e86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-4e361aee-04df-47bd-95d0-744e215868d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e361aee-04df-47bd-95d0-744e215868d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3135f65b-1859-42d7-993f-89be71a53ab7' class='xr-var-data-in' type='checkbox'><label for='data-3135f65b-1859-42d7-993f-89be71a53ab7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b38ed3b3-8607-45e5-bd83-04c94b2c287b' class='xr-section-summary-in' type='checkbox'  ><label for='section-b38ed3b3-8607-45e5-bd83-04c94b2c287b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6b4090fb-936f-4279-a5a6-d3a71f9d7353' class='xr-index-data-in' type='checkbox'/><label for='index-6b4090fb-936f-4279-a5a6-d3a71f9d7353' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-45088154-63b7-4daf-a02e-93e029ee9027' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45088154-63b7-4daf-a02e-93e029ee9027' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcb39b3b-d22b-494f-bc63-a4426f1dc6e7' class='xr-var-data-in' type='checkbox'><label for='data-dcb39b3b-d22b-494f-bc63-a4426f1dc6e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-264691f4-8eb4-4e3e-80e7-9786a00b3eec' class='xr-section-summary-in' type='checkbox'  ><label for='section-264691f4-8eb4-4e3e-80e7-9786a00b3eec' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-81225513-e42a-4e9f-9070-3871529d8b2e' class='xr-index-data-in' type='checkbox'/><label for='index-81225513-e42a-4e9f-9070-3871529d8b2e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c44a5486-cd79-4780-8837-f7df7b828a0b' class='xr-section-summary-in' type='checkbox'  ><label for='section-c44a5486-cd79-4780-8837-f7df7b828a0b' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-aa3a172e-3956-4ccc-b08a-0fee558749c6' class='xr-section-summary-in' type='checkbox'  ><label for='section-aa3a172e-3956-4ccc-b08a-0fee558749c6' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3223,7 +3244,7 @@ <h3>Concept refresher: “index space” vs “label space”<a class="headerlin
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7a94a327-726d-4e57-aabc-142c217ac305' class='xr-array-in' type='checkbox' ><label for='section-7a94a327-726d-4e57-aabc-142c217ac305' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>277.3 277.4 277.8 278.6 279.5 280.1 ... 282.9 284.7 286.1 286.9 286.6</span></div><div class='xr-array-data'><pre>array([277.29   , 277.4    , 277.79   , 278.6    , 279.5    , 280.1    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fcc1d55c-c919-4957-9774-4dcd5d1829fe' class='xr-array-in' type='checkbox' ><label for='section-fcc1d55c-c919-4957-9774-4dcd5d1829fe' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>277.3 277.4 277.8 278.6 279.5 280.1 ... 282.9 284.7 286.1 286.9 286.6</span></div><div class='xr-array-data'><pre>array([277.29   , 277.4    , 277.79   , 278.6    , 279.5    , 280.1    ,
        280.6    , 280.9    , 280.79   , 280.69998, 280.79   , 281.     ,
        280.29   , 277.69998, 273.5    , 269.     , 265.5    , 264.     ,
        265.19998, 268.1    , 269.79   , 267.9    , 263.     , 258.1    ,
@@ -3232,26 +3253,26 @@ <h3>Concept refresher: “index space” vs “label space”<a class="headerlin
        255.5    , 258.29   , 264.     , 268.69998, 270.5    , 270.6    ,
        271.19998, 272.9    , 274.79   , 276.4    , 278.19998, 280.5    ,
        282.9    , 284.69998, 286.1    , 286.9    , 286.6    ],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-896b3828-9bb2-4374-a5de-d72a8b75cc55' class='xr-section-summary-in' type='checkbox'  checked><label for='section-896b3828-9bb2-4374-a5de-d72a8b75cc55' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-b3e4ff3d-f59c-47cd-821b-e410ebdb77d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3e4ff3d-f59c-47cd-821b-e410ebdb77d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ea4400d-d9a0-4f4f-984c-6a7daa39ae29' class='xr-var-data-in' type='checkbox'><label for='data-7ea4400d-d9a0-4f4f-984c-6a7daa39ae29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-a53a1472-4b9a-4a1a-a34b-379ed36cf374' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a53a1472-4b9a-4a1a-a34b-379ed36cf374' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe56c89a-ff34-4808-abb1-42de4a88224a' class='xr-var-data-in' type='checkbox'><label for='data-fe56c89a-ff34-4808-abb1-42de4a88224a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-37749ae7-6cac-4ba1-8cd9-c3df4fdf7274' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37749ae7-6cac-4ba1-8cd9-c3df4fdf7274' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-51473587-47a5-42ce-b092-892624345c99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51473587-47a5-42ce-b092-892624345c99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b61d7ff-49b0-46ad-a956-3bbd99f409f1' class='xr-var-data-in' type='checkbox'><label for='data-9b61d7ff-49b0-46ad-a956-3bbd99f409f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-82781dcf-f67a-4e39-a16a-a44323c3df23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-82781dcf-f67a-4e39-a16a-a44323c3df23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d7fde27-62c4-404d-8f29-a2c34852aa45' class='xr-var-data-in' type='checkbox'><label for='data-0d7fde27-62c4-404d-8f29-a2c34852aa45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-46e36612-0172-4f42-96d1-1d7efacf3cdf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46e36612-0172-4f42-96d1-1d7efacf3cdf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-100b5a50-7a2f-4be8-85e6-707c0e2622eb' class='xr-var-data-in' type='checkbox'><label for='data-100b5a50-7a2f-4be8-85e6-707c0e2622eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb9249f5-ec72-4950-8851-c097573b75f7' class='xr-section-summary-in' type='checkbox'  ><label for='section-eb9249f5-ec72-4950-8851-c097573b75f7' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c06d4473-66ba-4b8b-acc6-ac378aa8f86a' class='xr-index-data-in' type='checkbox'/><label for='index-c06d4473-66ba-4b8b-acc6-ac378aa8f86a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-b49da5c8-2f8f-4873-adbd-5c3f3966c04e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b49da5c8-2f8f-4873-adbd-5c3f3966c04e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71042c9a-b967-41aa-ac54-7d71b0da7700' class='xr-var-data-in' type='checkbox'><label for='data-71042c9a-b967-41aa-ac54-7d71b0da7700' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75f57c16-ea21-4546-9c44-ee1972089e73' class='xr-section-summary-in' type='checkbox'  ><label for='section-75f57c16-ea21-4546-9c44-ee1972089e73' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ea991574-ad26-45de-88cd-358f3a45ea32' class='xr-index-data-in' type='checkbox'/><label for='index-ea991574-ad26-45de-88cd-358f3a45ea32' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd7cc507-aaf7-44be-9089-cb9e1a223875' class='xr-section-summary-in' type='checkbox'  ><label for='section-dd7cc507-aaf7-44be-9089-cb9e1a223875' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e304fc6d-6958-4cf5-a76d-c29c812e94df' class='xr-section-summary-in' type='checkbox'  ><label for='section-e304fc6d-6958-4cf5-a76d-c29c812e94df' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 </section>
 <hr class="docutils" />
 <section id="xarray-provides-patterns-in-both-index-space-and-label-space">
-<h2>Xarray provides patterns in both “index space” and “label space”<a class="headerlink" href="#xarray-provides-patterns-in-both-index-space-and-label-space" title="Permalink to this headline">#</a></h2>
+<h2>Xarray provides patterns in both “index space” and “label space”<a class="headerlink" href="#xarray-provides-patterns-in-both-index-space-and-label-space" title="Permalink to this heading">#</a></h2>
 <section id="index-space">
-<h3>Index space<a class="headerlink" href="#index-space" title="Permalink to this headline">#</a></h3>
+<h3>Index space<a class="headerlink" href="#index-space" title="Permalink to this heading">#</a></h3>
 <p>These are sequential windowed operations with a window of a fixed size.</p>
 <ol class="arabic simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">rolling</span></code> :
@@ -3261,7 +3282,7 @@ <h3>Index space<a class="headerlink" href="#index-space" title="Permalink to thi
 </ol>
 </section>
 <section id="label-space">
-<h3>Label space<a class="headerlink" href="#label-space" title="Permalink to this headline">#</a></h3>
+<h3>Label space<a class="headerlink" href="#label-space" title="Permalink to this heading">#</a></h3>
 <p>These are windowed operations with irregular windows based on your data. Members of a single group may be non-sequential and scattered through the dataset.</p>
 <ol class="arabic simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">groupby</span></code> :
@@ -3275,9 +3296,9 @@ <h3>Label space<a class="headerlink" href="#label-space" title="Permalink to thi
 </section>
 <hr class="docutils" />
 <section id="index-space-windows-of-fixed-width">
-<h2>Index space: windows of fixed width<a class="headerlink" href="#index-space-windows-of-fixed-width" title="Permalink to this headline">#</a></h2>
+<h2>Index space: windows of fixed width<a class="headerlink" href="#index-space-windows-of-fixed-width" title="Permalink to this heading">#</a></h2>
 <section id="sliding-windows-of-fixed-length-rolling">
-<h3>Sliding windows of fixed length: <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.rolling.html"><code class="docutils literal notranslate"><span class="pre">rolling</span></code></a><a class="headerlink" href="#sliding-windows-of-fixed-length-rolling" title="Permalink to this headline">#</a></h3>
+<h3>Sliding windows of fixed length: <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.rolling.html"><code class="docutils literal notranslate"><span class="pre">rolling</span></code></a><a class="headerlink" href="#sliding-windows-of-fixed-length-rolling" title="Permalink to this heading">#</a></h3>
 <ul class="simple">
 <li><p>Supports common reductions : <code class="docutils literal notranslate"><span class="pre">sum</span></code>, <code class="docutils literal notranslate"><span class="pre">mean</span></code>, <code class="docutils literal notranslate"><span class="pre">count</span></code>, <code class="docutils literal notranslate"><span class="pre">std</span></code>, <code class="docutils literal notranslate"><span class="pre">var</span></code> etc.</p></li>
 <li><p>Returns object of same shape as input</p></li>
@@ -3292,7 +3313,7 @@ <h3>Sliding windows of fixed length: <a class="reference external" href="https:/
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/eb340700645db670320b4ec0e8f5e505d45996e2a3a71e17a3531f44a7f8dd12.png" src="../_images/eb340700645db670320b4ec0e8f5e505d45996e2a3a71e17a3531f44a7f8dd12.png" />
+<img alt="../_images/84aa772cf2789dbcf3a926a364101f90c021b49a76710c1c4b8b2f5988d106e5.png" src="../_images/84aa772cf2789dbcf3a926a364101f90c021b49a76710c1c4b8b2f5988d106e5.png" />
 </div>
 </div>
 <p>And now smoothed 5 point running mean in lat and lon</p>
@@ -3303,11 +3324,11 @@ <h3>Sliding windows of fixed length: <a class="reference external" href="https:/
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/3e9e07033d66473d795ff97caae764f147d90db70861aba7d0d3925f53c3f630.png" src="../_images/3e9e07033d66473d795ff97caae764f147d90db70861aba7d0d3925f53c3f630.png" />
+<img alt="../_images/1f9fd13c976ba218da2ae827b0d219e8ea70641c8048a71f770412dbad972794.png" src="../_images/1f9fd13c976ba218da2ae827b0d219e8ea70641c8048a71f770412dbad972794.png" />
 </div>
 </div>
 <section id="apply-an-existing-numpy-only-function-with-reduce">
-<h4>Apply an existing numpy-only function with <code class="docutils literal notranslate"><span class="pre">reduce</span></code><a class="headerlink" href="#apply-an-existing-numpy-only-function-with-reduce" title="Permalink to this headline">#</a></h4>
+<h4>Apply an existing numpy-only function with <code class="docutils literal notranslate"><span class="pre">reduce</span></code><a class="headerlink" href="#apply-an-existing-numpy-only-function-with-reduce" title="Permalink to this heading">#</a></h4>
 <p>In some cases, we may want to apply a sliding window function using rolling that is not built in to Xarray. In these cases we can still leverage the sliding windows of rolling and apply our own function with <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.core.rolling.DataArrayRolling.reduce.html"><code class="docutils literal notranslate"><span class="pre">reduce</span></code></a>.</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">reduce</span></code> method on Xarray objects (e.g. DataArray, Dataset) expects a function that can <em>receive and return plain arrays (e.g. numpy)</em>, as in each of the “windows” provided by the rolling iterator. This is in contrast to the <code class="docutils literal notranslate"><span class="pre">map</span></code> method on DataArray and Dataset objects, which expects a function that can receive and return Xarray objects.</p>
 <p>Here’s an example function: <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.ptp.html"><code class="docutils literal notranslate"><span class="pre">np.ptp</span></code></a>.</p>
@@ -3318,7 +3339,7 @@ <h4>Apply an existing numpy-only function with <code class="docutils literal not
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/682ea9303ff395c3c88745071b123c32586a29814f6f5935ec9125f9381d4dc9.png" src="../_images/682ea9303ff395c3c88745071b123c32586a29814f6f5935ec9125f9381d4dc9.png" />
+<img alt="../_images/d9a578daee5e7f3bb517710ca0d982fe8793d70a85425c2e5a5574f35cd044e3.png" src="../_images/d9a578daee5e7f3bb517710ca0d982fe8793d70a85425c2e5a5574f35cd044e3.png" />
 </div>
 </div>
 <div class="exercise admonition" id="rolling-reduce">
@@ -3341,7 +3362,7 @@ <h4>Apply an existing numpy-only function with <code class="docutils literal not
 </div>
 </section>
 <section id="view-the-rolling-operation-as-a-xarray-object-with-construct">
-<h4>View the <code class="docutils literal notranslate"><span class="pre">rolling</span></code> operation as a Xarray object with <code class="docutils literal notranslate"><span class="pre">construct</span></code><a class="headerlink" href="#view-the-rolling-operation-as-a-xarray-object-with-construct" title="Permalink to this headline">#</a></h4>
+<h4>View the <code class="docutils literal notranslate"><span class="pre">rolling</span></code> operation as a Xarray object with <code class="docutils literal notranslate"><span class="pre">construct</span></code><a class="headerlink" href="#view-the-rolling-operation-as-a-xarray-object-with-construct" title="Permalink to this heading">#</a></h4>
 <p>In the above examples, we plotted the outputs of our rolling operations. Xarray makes it easy to integrate the outputs from <code class="docutils literal notranslate"><span class="pre">rolling</span></code> directly into the DataArray using the <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.core.rolling.DataArrayRolling.construct.html#xarray.core.rolling.DataArrayRolling.construct"><code class="docutils literal notranslate"><span class="pre">construct</span></code></a> method.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3717,7 +3738,7 @@ <h4>View the <code class="docutils literal notranslate"><span class="pre">rollin
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 10)&gt;
 0 1 2 3 4 5 6 7 8 9
 Coordinates:
-  * time     (time) int64 0 1 2 3 4 5 6 7 8 9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-70619a6d-23f1-43e0-b94c-df1d9c631804' class='xr-array-in' type='checkbox' ><label for='section-70619a6d-23f1-43e0-b94c-df1d9c631804' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9</span></div><div class='xr-array-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></div></li><li class='xr-section-item'><input id='section-b5148b0c-b9f8-4d21-91ca-32f4c9c768be' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5148b0c-b9f8-4d21-91ca-32f4c9c768be' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-42644b81-6fed-4346-9a24-4efa671f588c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42644b81-6fed-4346-9a24-4efa671f588c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08803e03-152c-4a02-aea5-0bc604ac43c8' class='xr-var-data-in' type='checkbox'><label for='data-08803e03-152c-4a02-aea5-0bc604ac43c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c8241457-6bd3-4e57-a27b-591b48976115' class='xr-section-summary-in' type='checkbox'  ><label for='section-c8241457-6bd3-4e57-a27b-591b48976115' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-91a7cc27-0352-40b5-af39-b464f3301094' class='xr-index-data-in' type='checkbox'/><label for='index-91a7cc27-0352-40b5-af39-b464f3301094' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-83ca0d7d-bab2-4ac2-a6eb-e132c04d35c2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-83ca0d7d-bab2-4ac2-a6eb-e132c04d35c2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+  * time     (time) int64 0 1 2 3 4 5 6 7 8 9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4d7e3c81-686f-411c-a84b-9f6e4f8bb16a' class='xr-array-in' type='checkbox' ><label for='section-4d7e3c81-686f-411c-a84b-9f6e4f8bb16a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0 1 2 3 4 5 6 7 8 9</span></div><div class='xr-array-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></div></li><li class='xr-section-item'><input id='section-d5156fcd-c042-44a7-b9c8-5b007d458aca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d5156fcd-c042-44a7-b9c8-5b007d458aca' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-74b44953-857c-46bc-8e6f-d7314e9ebe33' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-74b44953-857c-46bc-8e6f-d7314e9ebe33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df1aab2b-2a19-42e0-9a9d-c836b79959d1' class='xr-var-data-in' type='checkbox'><label for='data-df1aab2b-2a19-42e0-9a9d-c836b79959d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44136bb7-0432-4ffc-a77f-9ccdf7395fb6' class='xr-section-summary-in' type='checkbox'  ><label for='section-44136bb7-0432-4ffc-a77f-9ccdf7395fb6' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0329f9f2-12cb-4aa4-8b7d-5672c9c01359' class='xr-index-data-in' type='checkbox'/><label for='index-0329f9f2-12cb-4aa4-8b7d-5672c9c01359' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d583bf93-a56c-477c-bbb3-38a366c5d468' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d583bf93-a56c-477c-bbb3-38a366c5d468' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -4094,7 +4115,7 @@ <h4>View the <code class="docutils literal notranslate"><span class="pre">rollin
 nan nan 0.0 1.0 2.0 nan 0.0 1.0 2.0 3.0 ... 7.0 8.0 9.0 nan 7.0 8.0 9.0 nan nan
 Coordinates:
   * time     (time) int64 0 1 2 3 4 5 6 7 8 9
-Dimensions without coordinates: window</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>window</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-38f1a978-3272-43a9-a5d1-298f674e6937' class='xr-array-in' type='checkbox' ><label for='section-38f1a978-3272-43a9-a5d1-298f674e6937' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan 0.0 1.0 2.0 nan 0.0 1.0 ... 8.0 9.0 nan 7.0 8.0 9.0 nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan,  0.,  1.,  2.],
+Dimensions without coordinates: window</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 10</li><li><span>window</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d343cc55-3357-4bc0-8768-6507ef27b0cb' class='xr-array-in' type='checkbox' ><label for='section-d343cc55-3357-4bc0-8768-6507ef27b0cb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan 0.0 1.0 2.0 nan 0.0 1.0 ... 8.0 9.0 nan 7.0 8.0 9.0 nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan,  0.,  1.,  2.],
        [nan,  0.,  1.,  2.,  3.],
        [ 0.,  1.,  2.,  3.,  4.],
        [ 1.,  2.,  3.,  4.,  5.],
@@ -4103,7 +4124,7 @@ <h4>View the <code class="docutils literal notranslate"><span class="pre">rollin
        [ 4.,  5.,  6.,  7.,  8.],
        [ 5.,  6.,  7.,  8.,  9.],
        [ 6.,  7.,  8.,  9., nan],
-       [ 7.,  8.,  9., nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-ca422902-3336-40f5-88b5-b7c21c4de076' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ca422902-3336-40f5-88b5-b7c21c4de076' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-4a2339f6-6881-4ff1-b61b-17e08b29dee0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a2339f6-6881-4ff1-b61b-17e08b29dee0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11a8781e-f6ee-41bd-a17a-7477e68ec4b5' class='xr-var-data-in' type='checkbox'><label for='data-11a8781e-f6ee-41bd-a17a-7477e68ec4b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-044c5ad3-4e90-42c2-a12b-30583c6291b4' class='xr-section-summary-in' type='checkbox'  ><label for='section-044c5ad3-4e90-42c2-a12b-30583c6291b4' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-51e5e7ae-176c-46b3-8a5e-61ffa6ce68e1' class='xr-index-data-in' type='checkbox'/><label for='index-51e5e7ae-176c-46b3-8a5e-61ffa6ce68e1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b94b3568-92c7-4814-9999-be9da6b42f14' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b94b3568-92c7-4814-9999-be9da6b42f14' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [ 7.,  8.,  9., nan, nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-a2326951-e16c-4726-9aee-f046b071c681' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a2326951-e16c-4726-9aee-f046b071c681' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-e26630dc-77f4-4243-b216-3ba88b38f234' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e26630dc-77f4-4243-b216-3ba88b38f234' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68ae29f5-e8e7-4db3-9ce0-135353c6e184' class='xr-var-data-in' type='checkbox'><label for='data-68ae29f5-e8e7-4db3-9ce0-135353c6e184' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6980946b-9a93-4bd4-93c3-add49473ac73' class='xr-section-summary-in' type='checkbox'  ><label for='section-6980946b-9a93-4bd4-93c3-add49473ac73' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2d436b9b-f2fe-4321-bdfd-b33827dfe5ce' class='xr-index-data-in' type='checkbox'/><label for='index-2d436b9b-f2fe-4321-bdfd-b33827dfe5ce' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e1aaf135-70aa-40c8-9a66-a7617ff92761' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e1aaf135-70aa-40c8-9a66-a7617ff92761' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="dropdown admonition note">
 <p class="admonition-title">Note</p>
@@ -4133,7 +4154,7 @@ <h4>View the <code class="docutils literal notranslate"><span class="pre">rollin
 </ol>
 </section>
 <section id="advanced-another-construct-example">
-<h4>Advanced: Another <code class="docutils literal notranslate"><span class="pre">construct</span></code> example<a class="headerlink" href="#advanced-another-construct-example" title="Permalink to this headline">#</a></h4>
+<h4>Advanced: Another <code class="docutils literal notranslate"><span class="pre">construct</span></code> example<a class="headerlink" href="#advanced-another-construct-example" title="Permalink to this heading">#</a></h4>
 <p>This is a 2D rolling example; we need to provide two new dimension names.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -4523,7 +4544,7 @@ <h4>Advanced: Another <code class="docutils literal notranslate"><span class="pr
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li><li><span>lat_roll</span>: 5</li><li><span>lon_roll</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6b33bb50-1784-4491-ab76-c376ac631ddf' class='xr-array-in' type='checkbox' ><label for='section-6b33bb50-1784-4491-ab76-c376ac631ddf' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[[      nan,       nan,       nan,       nan,       nan],
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li><li><span>lat_roll</span>: 5</li><li><span>lon_roll</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-49248cf1-4c47-4f3d-a547-980b7b71290f' class='xr-array-in' type='checkbox' ><label for='section-49248cf1-4c47-4f3d-a547-980b7b71290f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[[      nan,       nan,       nan,       nan,       nan],
          [      nan,       nan,       nan,       nan,       nan],
          [      nan,       nan, 241.2    , 242.5    , 243.5    ],
          [      nan,       nan, 243.79999, 244.5    , 244.7    ],
@@ -4563,29 +4584,29 @@ <h4>Advanced: Another <code class="docutils literal notranslate"><span class="pr
          [296.9    , 296.79   , 296.6    ,       nan,       nan],
          [      nan,       nan,       nan,       nan,       nan],
          [      nan,       nan,       nan,       nan,       nan]]]],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9046bffa-5af3-413d-a851-890ddb45bfe0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9046bffa-5af3-413d-a851-890ddb45bfe0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-45d21bc2-ac8a-404e-b55c-ac0d35709f9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45d21bc2-ac8a-404e-b55c-ac0d35709f9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-315ec58d-576e-44e0-aa8a-6300be68a18b' class='xr-var-data-in' type='checkbox'><label for='data-315ec58d-576e-44e0-aa8a-6300be68a18b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-af95ef01-f337-44af-a2fc-c454c42eca7f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-af95ef01-f337-44af-a2fc-c454c42eca7f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-aa60d8c6-2be4-4511-beb6-19bd1e896c05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa60d8c6-2be4-4511-beb6-19bd1e896c05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-820a47d6-d5ea-4f37-ad75-374e66de7dd5' class='xr-var-data-in' type='checkbox'><label for='data-820a47d6-d5ea-4f37-ad75-374e66de7dd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-0909f0d1-addb-4646-b43b-bdb4ec53220f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0909f0d1-addb-4646-b43b-bdb4ec53220f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd26cda4-5574-4eea-8174-ccda5f7ccca5' class='xr-var-data-in' type='checkbox'><label for='data-cd26cda4-5574-4eea-8174-ccda5f7ccca5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-6550aed0-a5e6-402f-88c7-26794678cf57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6550aed0-a5e6-402f-88c7-26794678cf57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8cf9e2a-a873-490a-9eb7-c3cfba04b703' class='xr-var-data-in' type='checkbox'><label for='data-f8cf9e2a-a873-490a-9eb7-c3cfba04b703' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-fa6fb38b-ce04-4017-a07a-23ec6e1ae8da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa6fb38b-ce04-4017-a07a-23ec6e1ae8da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c07e9978-0036-472c-b445-a4010ef4a0d4' class='xr-var-data-in' type='checkbox'><label for='data-c07e9978-0036-472c-b445-a4010ef4a0d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-704478cd-4c68-42ed-998f-a6dc3ff702c9' class='xr-section-summary-in' type='checkbox'  ><label for='section-704478cd-4c68-42ed-998f-a6dc3ff702c9' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-651129a3-b8fd-4f7b-8fe8-57c372dad79a' class='xr-index-data-in' type='checkbox'/><label for='index-651129a3-b8fd-4f7b-8fe8-57c372dad79a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-5428c861-9752-4d17-bac5-79fc5fffdc2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5428c861-9752-4d17-bac5-79fc5fffdc2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-634c96ae-1c56-4e9a-b3f1-0b87fd81f96f' class='xr-var-data-in' type='checkbox'><label for='data-634c96ae-1c56-4e9a-b3f1-0b87fd81f96f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-329d8a22-a4a8-4c9e-8d5f-00977e324b89' class='xr-section-summary-in' type='checkbox'  ><label for='section-329d8a22-a4a8-4c9e-8d5f-00977e324b89' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-651d5c42-619a-4c3e-bfc5-1c48e0bba41a' class='xr-index-data-in' type='checkbox'/><label for='index-651d5c42-619a-4c3e-bfc5-1c48e0bba41a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f808388e-eb81-422d-89a5-779282f8a8b9' class='xr-index-data-in' type='checkbox'/><label for='index-f808388e-eb81-422d-89a5-779282f8a8b9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2bec31fa-fa86-4d1d-b99e-79343083ffbc' class='xr-index-data-in' type='checkbox'/><label for='index-2bec31fa-fa86-4d1d-b99e-79343083ffbc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7dc3784b-a98f-4722-9704-65876f009b0c' class='xr-section-summary-in' type='checkbox'  ><label for='section-7dc3784b-a98f-4722-9704-65876f009b0c' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c3f81d5f-326c-4ddb-b0eb-eb5c3f7794a8' class='xr-section-summary-in' type='checkbox'  ><label for='section-c3f81d5f-326c-4ddb-b0eb-eb5c3f7794a8' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 </section>
 <hr class="docutils" />
 <section id="block-windows-of-fixed-length-coarsen">
-<h3>Block windows of fixed length: <code class="docutils literal notranslate"><span class="pre">coarsen</span></code><a class="headerlink" href="#block-windows-of-fixed-length-coarsen" title="Permalink to this headline">#</a></h3>
+<h3>Block windows of fixed length: <code class="docutils literal notranslate"><span class="pre">coarsen</span></code><a class="headerlink" href="#block-windows-of-fixed-length-coarsen" title="Permalink to this heading">#</a></h3>
 <p>For non-overlapping windows or “blocks” use <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.coarsen.html"><code class="docutils literal notranslate"><span class="pre">coarsen</span></code></a>. The syntax is very similar to <code class="docutils literal notranslate"><span class="pre">rolling</span></code>. You will need to specify how you want Xarray to handle the <code class="docutils literal notranslate"><span class="pre">boundary</span></code> if the length of the dimension is not a multiple of the block size.</p>
 <ul class="simple">
 <li><p>Supports common reductions : <code class="docutils literal notranslate"><span class="pre">sum</span></code>, <code class="docutils literal notranslate"><span class="pre">mean</span></code>, <code class="docutils literal notranslate"><span class="pre">count</span></code>, <code class="docutils literal notranslate"><span class="pre">std</span></code>, <code class="docutils literal notranslate"><span class="pre">var</span></code> etc.</p></li>
@@ -4980,7 +5001,7 @@ <h3>Block windows of fixed length: <code class="docutils literal notranslate"><s
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2fa4a449-5136-4d57-b142-e197593411ec' class='xr-array-in' type='checkbox' ><label for='section-2fa4a449-5136-4d57-b142-e197593411ec' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.8 297.6 296.9 296.8 296.6</span></div><div class='xr-array-data'><pre>array([[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8896f0cb-4ec5-46d4-8f0a-a813299681cc' class='xr-array-in' type='checkbox' ><label for='section-8896f0cb-4ec5-46d4-8f0a-a813299681cc' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.8 297.6 296.9 296.8 296.6</span></div><div class='xr-array-data'><pre>array([[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
         238.59999],
        [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
         239.29999],
@@ -4992,23 +5013,23 @@ <h3>Block windows of fixed length: <code class="docutils literal notranslate"><s
        [295.9    , 296.19998, 296.79   , ..., 295.9    , 295.9    ,
         295.19998],
        [296.29   , 296.79   , 297.1    , ..., 296.9    , 296.79   ,
-        296.6    ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-117ccd20-36e3-4ba9-b8ef-bb34d5b38102' class='xr-section-summary-in' type='checkbox'  checked><label for='section-117ccd20-36e3-4ba9-b8ef-bb34d5b38102' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-96cde0ff-effa-4db4-baac-a8236ca16483' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96cde0ff-effa-4db4-baac-a8236ca16483' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-699f44d8-eda4-4306-b09a-a1304888f975' class='xr-var-data-in' type='checkbox'><label for='data-699f44d8-eda4-4306-b09a-a1304888f975' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        296.6    ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c6cf3903-a7a4-4a69-82b1-d6857954df60' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c6cf3903-a7a4-4a69-82b1-d6857954df60' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-bd5fd644-6ae4-4795-bdc5-e7d48af1c0ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd5fd644-6ae4-4795-bdc5-e7d48af1c0ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-516139bf-0a30-41f8-8024-24f1f2ef1aca' class='xr-var-data-in' type='checkbox'><label for='data-516139bf-0a30-41f8-8024-24f1f2ef1aca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-61441187-334b-430c-81e8-11c7af337bf6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61441187-334b-430c-81e8-11c7af337bf6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-061c2da0-1c34-43fd-b019-96fb9b42f4bf' class='xr-var-data-in' type='checkbox'><label for='data-061c2da0-1c34-43fd-b019-96fb9b42f4bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-a7c1e827-8958-4fe4-aa7a-8f498858bccf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7c1e827-8958-4fe4-aa7a-8f498858bccf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-350b1238-ee32-43d4-9fed-9108b156426d' class='xr-var-data-in' type='checkbox'><label for='data-350b1238-ee32-43d4-9fed-9108b156426d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-e05abcb6-94ce-447d-8b10-111c04127876' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e05abcb6-94ce-447d-8b10-111c04127876' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-296c1e1e-f0c9-4601-917a-f811d7bfc1c4' class='xr-var-data-in' type='checkbox'><label for='data-296c1e1e-f0c9-4601-917a-f811d7bfc1c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-92d2f54e-07c7-4486-a6e2-0efa3b2dc989' class='xr-section-summary-in' type='checkbox'  ><label for='section-92d2f54e-07c7-4486-a6e2-0efa3b2dc989' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e1de425d-02aa-4a5d-9cb7-bcb5e258ef0e' class='xr-index-data-in' type='checkbox'/><label for='index-e1de425d-02aa-4a5d-9cb7-bcb5e258ef0e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-329f920b-4de7-441d-9f29-eeaddda3abf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-329f920b-4de7-441d-9f29-eeaddda3abf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-514e04a6-9b68-4ee9-afa6-ca00aca68d08' class='xr-var-data-in' type='checkbox'><label for='data-514e04a6-9b68-4ee9-afa6-ca00aca68d08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88c3bdbd-18df-4101-895f-f0d6a57263e9' class='xr-section-summary-in' type='checkbox'  ><label for='section-88c3bdbd-18df-4101-895f-f0d6a57263e9' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-91057db6-3757-4315-bdfa-54f6f2e13365' class='xr-index-data-in' type='checkbox'/><label for='index-91057db6-3757-4315-bdfa-54f6f2e13365' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d1b0be1a-6171-4ce5-8f7b-f6944f21c3fd' class='xr-index-data-in' type='checkbox'/><label for='index-d1b0be1a-6171-4ce5-8f7b-f6944f21c3fd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c9ddb0e5-44eb-4125-adc3-ed1d73cf75b4' class='xr-index-data-in' type='checkbox'/><label for='index-c9ddb0e5-44eb-4125-adc3-ed1d73cf75b4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4450d43d-eb17-4c9b-b625-0705dd701312' class='xr-section-summary-in' type='checkbox'  ><label for='section-4450d43d-eb17-4c9b-b625-0705dd701312' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ab83f261-0e3b-477f-861f-9c8c889a5654' class='xr-section-summary-in' type='checkbox'  ><label for='section-ab83f261-0e3b-477f-861f-9c8c889a5654' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -5017,7 +5038,7 @@ <h3>Block windows of fixed length: <code class="docutils literal notranslate"><s
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/eb340700645db670320b4ec0e8f5e505d45996e2a3a71e17a3531f44a7f8dd12.png" src="../_images/eb340700645db670320b4ec0e8f5e505d45996e2a3a71e17a3531f44a7f8dd12.png" />
+<img alt="../_images/84aa772cf2789dbcf3a926a364101f90c021b49a76710c1c4b8b2f5988d106e5.png" src="../_images/84aa772cf2789dbcf3a926a364101f90c021b49a76710c1c4b8b2f5988d106e5.png" />
 </div>
 </div>
 <div class="cell docutils container">
@@ -5407,7 +5428,7 @@ <h3>Block windows of fixed length: <code class="docutils literal notranslate"><s
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 5</li><li><span class='xr-has-index'>lon</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ced19201-feff-4d55-a550-883fd44fde12' class='xr-array-in' type='checkbox' ><label for='section-ced19201-feff-4d55-a550-883fd44fde12' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>255.3 252.1 249.8 244.3 243.8 245.7 ... 296.8 297.6 297.2 298.0 297.1</span></div><div class='xr-array-data'><pre>array([[255.28241, 252.10161, 249.81122, 244.2952 , 243.7544 , 245.71399,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 5</li><li><span class='xr-has-index'>lon</span>: 10</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d86a0077-f20f-41e1-9e22-44d2fccdadfd' class='xr-array-in' type='checkbox' ><label for='section-d86a0077-f20f-41e1-9e22-44d2fccdadfd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>255.3 252.1 249.8 244.3 243.8 245.7 ... 296.8 297.6 297.2 298.0 297.1</span></div><div class='xr-array-data'><pre>array([[255.28241, 252.10161, 249.81122, 244.2952 , 243.7544 , 245.71399,
         249.06158, 244.6704 , 250.402  , 237.4508 ],
        [275.0668 , 275.6712 , 272.61038, 270.50598, 253.83   , 248.73442,
         252.3424 , 258.1216 , 269.6136 , 273.4952 ],
@@ -5416,8 +5437,8 @@ <h3>Block windows of fixed length: <code class="docutils literal notranslate"><s
        [291.0172 , 291.9984 , 288.9172 , 282.6336 , 278.01282, 283.666  ,
         285.2488 , 289.538  , 290.2944 , 293.3536 ],
        [296.2224 , 293.7384 , 292.5064 , 292.94962, 295.0264 , 296.754  ,
-        297.5628 , 297.21838, 298.0064 , 297.0692 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-cda34d37-fb64-4297-835b-9605c9123c52' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cda34d37-fb64-4297-835b-9605c9123c52' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>70.0 57.5 45.0 32.5 20.0</div><input id='attrs-a0b7b08c-c9b6-4cd0-a8eb-0bc5ae65cced' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0b7b08c-c9b6-4cd0-a8eb-0bc5ae65cced' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64ff82bb-d7f7-43fb-bee5-fa4165f05ebc' class='xr-var-data-in' type='checkbox'><label for='data-64ff82bb-d7f7-43fb-bee5-fa4165f05ebc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([70. , 57.5, 45. , 32.5, 20. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>205.0 217.5 230.0 ... 305.0 317.5</div><input id='attrs-ea2f869f-f4a6-4238-99d6-0e9e3440f794' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea2f869f-f4a6-4238-99d6-0e9e3440f794' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f028b39-3c4c-446a-b5fb-2679ff1fad8d' class='xr-var-data-in' type='checkbox'><label for='data-6f028b39-3c4c-446a-b5fb-2679ff1fad8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([205. , 217.5, 230. , 242.5, 255. , 267.5, 280. , 292.5, 305. , 317.5],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-50c38c20-9b35-4481-b7a4-c163a68d25d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50c38c20-9b35-4481-b7a4-c163a68d25d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11fc5952-d7cf-4667-badd-f428d32cebdd' class='xr-var-data-in' type='checkbox'><label for='data-11fc5952-d7cf-4667-badd-f428d32cebdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da406f07-6e2a-4cac-b893-149efe590dad' class='xr-section-summary-in' type='checkbox'  ><label for='section-da406f07-6e2a-4cac-b893-149efe590dad' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9558d9da-94cd-4c5b-91c4-71dc4a2cb87d' class='xr-index-data-in' type='checkbox'/><label for='index-9558d9da-94cd-4c5b-91c4-71dc4a2cb87d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([70.0, 57.5, 45.0, 32.5, 20.0], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1593fd3c-d030-442b-81e0-7b22f6ac0e78' class='xr-index-data-in' type='checkbox'/><label for='index-1593fd3c-d030-442b-81e0-7b22f6ac0e78' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([205.0, 217.5, 230.0, 242.5, 255.0, 267.5, 280.0, 292.5, 305.0, 317.5], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9868ab7c-6b01-4d0d-bd8b-e84ac9211f66' class='xr-section-summary-in' type='checkbox'  ><label for='section-9868ab7c-6b01-4d0d-bd8b-e84ac9211f66' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+        297.5628 , 297.21838, 298.0064 , 297.0692 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-f2080f81-26e8-4e35-88e1-600396997e95' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f2080f81-26e8-4e35-88e1-600396997e95' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>70.0 57.5 45.0 32.5 20.0</div><input id='attrs-3f55e245-8fef-438a-987d-371a3507a02b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f55e245-8fef-438a-987d-371a3507a02b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31473aa8-d3ef-41b2-ba20-03a1069ccec9' class='xr-var-data-in' type='checkbox'><label for='data-31473aa8-d3ef-41b2-ba20-03a1069ccec9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([70. , 57.5, 45. , 32.5, 20. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>205.0 217.5 230.0 ... 305.0 317.5</div><input id='attrs-803c2c14-09d2-4356-875a-ee06209911d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-803c2c14-09d2-4356-875a-ee06209911d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-defd4c5b-5ad5-4f39-911b-b9f9dc94e80f' class='xr-var-data-in' type='checkbox'><label for='data-defd4c5b-5ad5-4f39-911b-b9f9dc94e80f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([205. , 217.5, 230. , 242.5, 255. , 267.5, 280. , 292.5, 305. , 317.5],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-bc18ba88-1439-4aff-827d-86f68a2e5129' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc18ba88-1439-4aff-827d-86f68a2e5129' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-318d2787-0d4d-4c3c-b1b5-e85a16038fdc' class='xr-var-data-in' type='checkbox'><label for='data-318d2787-0d4d-4c3c-b1b5-e85a16038fdc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9f4ac4e0-b14b-4c3d-b0e5-4f076fcb19cf' class='xr-section-summary-in' type='checkbox'  ><label for='section-9f4ac4e0-b14b-4c3d-b0e5-4f076fcb19cf' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e17cfb32-8ecc-49df-a309-64da1eb4da88' class='xr-index-data-in' type='checkbox'/><label for='index-e17cfb32-8ecc-49df-a309-64da1eb4da88' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([70.0, 57.5, 45.0, 32.5, 20.0], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-23ca2db3-72d8-41f6-a75c-e99d767a184a' class='xr-index-data-in' type='checkbox'/><label for='index-23ca2db3-72d8-41f6-a75c-e99d767a184a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([205.0, 217.5, 230.0, 242.5, 255.0, 267.5, 280.0, 292.5, 305.0, 317.5], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef6e23ef-e1d8-463f-b54d-7738a14a9f9a' class='xr-section-summary-in' type='checkbox'  ><label for='section-ef6e23ef-e1d8-463f-b54d-7738a14a9f9a' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -5426,14 +5447,14 @@ <h3>Block windows of fixed length: <code class="docutils literal notranslate"><s
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7ff9856eff50&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7f9be5091650&gt;
 </pre></div>
 </div>
-<img alt="../_images/6e24f02dbf4dcaa6cb7619432656380116000489224111f12f41caa702b15d74.png" src="../_images/6e24f02dbf4dcaa6cb7619432656380116000489224111f12f41caa702b15d74.png" />
+<img alt="../_images/b2f10ad43e7a4b37e66f3517124462b15cc02b1b35855d403e9afd11e9acd3aa.png" src="../_images/b2f10ad43e7a4b37e66f3517124462b15cc02b1b35855d403e9afd11e9acd3aa.png" />
 </div>
 </div>
 <section id="coarsen-supports-reduce-for-custom-reductions">
-<h4>Coarsen supports <code class="docutils literal notranslate"><span class="pre">reduce</span></code> for custom reductions<a class="headerlink" href="#coarsen-supports-reduce-for-custom-reductions" title="Permalink to this headline">#</a></h4>
+<h4>Coarsen supports <code class="docutils literal notranslate"><span class="pre">reduce</span></code> for custom reductions<a class="headerlink" href="#coarsen-supports-reduce-for-custom-reductions" title="Permalink to this heading">#</a></h4>
 <div class="exercise admonition" id="coarsen-reduce">
 
 <p class="admonition-title"><span class="caption-number">Exercise 13 </span></p>
@@ -5452,7 +5473,7 @@ <h4>Coarsen supports <code class="docutils literal notranslate"><span class="pre
 </div>
 </section>
 <section id="coarsen-supports-construct-for-block-reshaping-and-storing-outputs">
-<h4>Coarsen supports <code class="docutils literal notranslate"><span class="pre">construct</span></code> for block reshaping and storing outputs<a class="headerlink" href="#coarsen-supports-construct-for-block-reshaping-and-storing-outputs" title="Permalink to this headline">#</a></h4>
+<h4>Coarsen supports <code class="docutils literal notranslate"><span class="pre">construct</span></code> for block reshaping and storing outputs<a class="headerlink" href="#coarsen-supports-construct-for-block-reshaping-and-storing-outputs" title="Permalink to this heading">#</a></h4>
 <div class="admonition tip">
 <p class="admonition-title">Tip</p>
 <p><code class="docutils literal notranslate"><span class="pre">coarsen.construct</span></code> is usually a good alternative to <code class="docutils literal notranslate"><span class="pre">np.reshape</span></code></p>
@@ -5836,11 +5857,11 @@ <h4>Coarsen supports <code class="docutils literal notranslate"><span class="pre
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 24)&gt;
 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
 Coordinates:
-  * time     (time) int64 1 2 3 4 5 6 7 8 9 10 ... 15 16 17 18 19 20 21 22 23 24</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 24</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b2fbc136-be2b-4b6a-a55b-147af0d73755' class='xr-array-in' type='checkbox' ><label for='section-b2fbc136-be2b-4b6a-a55b-147af0d73755' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,
-        6,  7,  8,  9, 10, 11, 12])</pre></div></div></li><li class='xr-section-item'><input id='section-f482b87d-5c70-4f81-9300-1d80fd021ad5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f482b87d-5c70-4f81-9300-1d80fd021ad5' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 19 20 21 22 23 24</div><input id='attrs-d45e08b8-5c47-4638-be75-bde77df20846' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d45e08b8-5c47-4638-be75-bde77df20846' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-119f0067-2c9b-43c7-bb7b-b6900727e979' class='xr-var-data-in' type='checkbox'><label for='data-119f0067-2c9b-43c7-bb7b-b6900727e979' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
-       19, 20, 21, 22, 23, 24])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a355625-4999-44fd-82a6-42917635f6ee' class='xr-section-summary-in' type='checkbox'  ><label for='section-4a355625-4999-44fd-82a6-42917635f6ee' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ef504c67-f322-4f44-b403-4febb75bb503' class='xr-index-data-in' type='checkbox'/><label for='index-ef504c67-f322-4f44-b403-4febb75bb503' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
+  * time     (time) int64 1 2 3 4 5 6 7 8 9 10 ... 15 16 17 18 19 20 21 22 23 24</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 24</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e08c9340-b9d4-4290-8326-d94f34124d7c' class='xr-array-in' type='checkbox' ><label for='section-e08c9340-b9d4-4290-8326-d94f34124d7c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,
+        6,  7,  8,  9, 10, 11, 12])</pre></div></div></li><li class='xr-section-item'><input id='section-227a9611-d7ce-4063-bf91-5f0c1cd6a309' class='xr-section-summary-in' type='checkbox'  checked><label for='section-227a9611-d7ce-4063-bf91-5f0c1cd6a309' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 19 20 21 22 23 24</div><input id='attrs-a452d9d8-bef8-4fdb-9395-119ce90bca5c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a452d9d8-bef8-4fdb-9395-119ce90bca5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39dc214c-6bf7-4602-bafd-b9af7220e3f5' class='xr-var-data-in' type='checkbox'><label for='data-39dc214c-6bf7-4602-bafd-b9af7220e3f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
+       19, 20, 21, 22, 23, 24])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e6d00638-287f-4db7-925f-a7f2b8af864b' class='xr-section-summary-in' type='checkbox'  ><label for='section-e6d00638-287f-4db7-925f-a7f2b8af864b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7f007e5a-084d-483c-968e-486ef6614b1e' class='xr-index-data-in' type='checkbox'/><label for='index-7f007e5a-084d-483c-968e-486ef6614b1e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,
        19, 20, 21, 22, 23, 24],
-      dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a2512357-7a8e-42b6-824c-aa41e3592fa6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a2512357-7a8e-42b6-824c-aa41e3592fa6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-98465d51-7821-4b5a-9088-8af01ab17178' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-98465d51-7821-4b5a-9088-8af01ab17178' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -6217,9 +6238,9 @@ <h4>Coarsen supports <code class="docutils literal notranslate"><span class="pre
 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
 Coordinates:
     time     (year, month) int64 1 2 3 4 5 6 7 8 9 ... 17 18 19 20 21 22 23 24
-Dimensions without coordinates: year, month</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>year</span>: 2</li><li><span>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-acd094af-9240-4e6a-b08a-895587909b37' class='xr-array-in' type='checkbox' ><label for='section-acd094af-9240-4e6a-b08a-895587909b37' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([[ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12],
-       [ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12]])</pre></div></div></li><li class='xr-section-item'><input id='section-5fbb05d2-a7e6-458d-9597-c53fc58857ff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5fbb05d2-a7e6-458d-9597-c53fc58857ff' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(year, month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 19 20 21 22 23 24</div><input id='attrs-dcf2b1f8-d591-4e44-b498-aaa7711810a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dcf2b1f8-d591-4e44-b498-aaa7711810a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c742efe0-f124-43a8-8093-b8a17ce6c14d' class='xr-var-data-in' type='checkbox'><label for='data-c742efe0-f124-43a8-8093-b8a17ce6c14d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12],
-       [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db5db829-4c94-4533-b56b-0ebca3e5f4a1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-db5db829-4c94-4533-b56b-0ebca3e5f4a1' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-20e864fa-47a4-427e-b6e2-35e17ef1d05f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-20e864fa-47a4-427e-b6e2-35e17ef1d05f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: year, month</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>year</span>: 2</li><li><span>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e1bc1ebd-ea7c-4230-a33d-80c1c66cad53' class='xr-array-in' type='checkbox' ><label for='section-e1bc1ebd-ea7c-4230-a33d-80c1c66cad53' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([[ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12],
+       [ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12]])</pre></div></div></li><li class='xr-section-item'><input id='section-b17f317b-77a3-4b11-909d-a983042afe2b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b17f317b-77a3-4b11-909d-a983042afe2b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(year, month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 19 20 21 22 23 24</div><input id='attrs-270ec2ff-b63a-43d8-a6e0-cd283f4a7d37' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-270ec2ff-b63a-43d8-a6e0-cd283f4a7d37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae7cc566-7f06-477c-bac7-abad049c21ad' class='xr-var-data-in' type='checkbox'><label for='data-ae7cc566-7f06-477c-bac7-abad049c21ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12],
+       [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1787d9a1-0048-4cab-a2b3-9ac936273ae4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1787d9a1-0048-4cab-a2b3-9ac936273ae4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-43d53623-1f81-47cc-b6b3-9fc0c29bc994' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-43d53623-1f81-47cc-b6b3-9fc0c29bc994' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Note two things:</p>
 <ol class="arabic simple">
@@ -6602,9 +6623,9 @@ <h4>Coarsen supports <code class="docutils literal notranslate"><span class="pre
 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 ... 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0 nan
 Coordinates:
     time     (year, month) float64 2.0 3.0 4.0 5.0 6.0 ... 22.0 23.0 24.0 nan
-Dimensions without coordinates: year, month</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>year</span>: 2</li><li><span>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5fa7963a-4709-4cd7-a30d-5137b2952ca9' class='xr-array-in' type='checkbox' ><label for='section-5fa7963a-4709-4cd7-a30d-5137b2952ca9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 ... 6.0 7.0 8.0 9.0 10.0 11.0 12.0 nan</span></div><div class='xr-array-data'><pre>array([[ 2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.,  1.],
-       [ 2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-fd531ced-b6c8-42d1-84b6-b6169ad9b369' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd531ced-b6c8-42d1-84b6-b6169ad9b369' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(year, month)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0 3.0 4.0 5.0 ... 23.0 24.0 nan</div><input id='attrs-8c1813a8-2532-4ea5-b2dc-0cc7dd26effb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c1813a8-2532-4ea5-b2dc-0cc7dd26effb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-401957dd-bfff-49a0-953c-e5838c5edb5d' class='xr-var-data-in' type='checkbox'><label for='data-401957dd-bfff-49a0-953c-e5838c5edb5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.],
-       [14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52eae2e3-512a-426f-b1d9-f4006c8d86c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-52eae2e3-512a-426f-b1d9-f4006c8d86c8' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-705594ac-ac9e-4167-946c-f73e23e49c3d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-705594ac-ac9e-4167-946c-f73e23e49c3d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: year, month</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>year</span>: 2</li><li><span>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d3ab42aa-a9fd-43e2-bfc3-0ea6faf871f9' class='xr-array-in' type='checkbox' ><label for='section-d3ab42aa-a9fd-43e2-bfc3-0ea6faf871f9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 ... 6.0 7.0 8.0 9.0 10.0 11.0 12.0 nan</span></div><div class='xr-array-data'><pre>array([[ 2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.,  1.],
+       [ 2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., nan]])</pre></div></div></li><li class='xr-section-item'><input id='section-721a3e5e-48e8-481c-bd1b-52f02e8724b0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-721a3e5e-48e8-481c-bd1b-52f02e8724b0' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(year, month)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0 3.0 4.0 5.0 ... 23.0 24.0 nan</div><input id='attrs-52910706-f07a-4fd1-9106-d74d3f742cc6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-52910706-f07a-4fd1-9106-d74d3f742cc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-260ab86d-6178-42ce-99e4-4425c9fb5be0' class='xr-var-data-in' type='checkbox'><label for='data-260ab86d-6178-42ce-99e4-4425c9fb5be0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13.],
+       [14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., nan]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-39752f28-ca00-436e-a5ff-d98b471492dc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-39752f28-ca00-436e-a5ff-d98b471492dc' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0fd09fa4-347d-4e29-900e-79bf7ee18aaf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0fd09fa4-347d-4e29-900e-79bf7ee18aaf' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>This adds values at the end of the array (see the ‘nan’ at the end of the time coordinate?), which is not so sensible for this
 problem.  We have some control of the padding through the <code class="docutils literal notranslate"><span class="pre">side</span></code> kwarg to <code class="docutils literal notranslate"><span class="pre">coarsen</span></code>. For <code class="docutils literal notranslate"><span class="pre">side=&quot;right&quot;</span></code> we get more sensible output.</p>
@@ -6984,9 +7005,9 @@ <h4>Coarsen supports <code class="docutils literal notranslate"><span class="pre
 nan 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 ... 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0
 Coordinates:
     time     (year, month) float64 nan 2.0 3.0 4.0 5.0 ... 21.0 22.0 23.0 24.0
-Dimensions without coordinates: year, month</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>year</span>: 2</li><li><span>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9d9ab2b3-745f-47bb-816a-4f1ed4df5ea8' class='xr-array-in' type='checkbox' ><label for='section-9d9ab2b3-745f-47bb-816a-4f1ed4df5ea8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan 2.0 3.0 4.0 5.0 6.0 7.0 8.0 ... 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0</span></div><div class='xr-array-data'><pre>array([[nan,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.],
-       [ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.]])</pre></div></div></li><li class='xr-section-item'><input id='section-d3a57bce-cb59-4424-aa97-9a2929676d23' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d3a57bce-cb59-4424-aa97-9a2929676d23' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(year, month)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 2.0 3.0 4.0 ... 22.0 23.0 24.0</div><input id='attrs-1b3a3bea-23ed-42e5-a5f9-a14f0498de80' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1b3a3bea-23ed-42e5-a5f9-a14f0498de80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da0225cf-854e-4ea0-920c-a464547c0c50' class='xr-var-data-in' type='checkbox'><label for='data-da0225cf-854e-4ea0-920c-a464547c0c50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.],
-       [13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f1639696-3390-4c75-942a-5c77a6c5630d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f1639696-3390-4c75-942a-5c77a6c5630d' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-bedfdb08-473b-46b8-a88b-cac5160b5e06' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bedfdb08-473b-46b8-a88b-cac5160b5e06' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: year, month</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>year</span>: 2</li><li><span>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ecd9c781-d36b-4780-ac1b-82983a7d4330' class='xr-array-in' type='checkbox' ><label for='section-ecd9c781-d36b-4780-ac1b-82983a7d4330' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan 2.0 3.0 4.0 5.0 6.0 7.0 8.0 ... 5.0 6.0 7.0 8.0 9.0 10.0 11.0 12.0</span></div><div class='xr-array-data'><pre>array([[nan,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.],
+       [ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.]])</pre></div></div></li><li class='xr-section-item'><input id='section-6cc09733-ac28-4ef2-9f1b-d8e9d0eef7c3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6cc09733-ac28-4ef2-9f1b-d8e9d0eef7c3' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(year, month)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 2.0 3.0 4.0 ... 22.0 23.0 24.0</div><input id='attrs-daa4b70b-432e-4795-a80e-ab1afc5b7027' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-daa4b70b-432e-4795-a80e-ab1afc5b7027' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5ce6f49-8c83-472b-9ef8-1aa026468701' class='xr-var-data-in' type='checkbox'><label for='data-c5ce6f49-8c83-472b-9ef8-1aa026468701' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.],
+       [13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e37d284-f6e8-4847-a34a-bfa898a2d1ad' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1e37d284-f6e8-4847-a34a-bfa898a2d1ad' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-fd2645ae-3d05-4581-94ec-672e5a9d4dd5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fd2645ae-3d05-4581-94ec-672e5a9d4dd5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Note that <code class="docutils literal notranslate"><span class="pre">coarsen</span></code> pads with NaNs. For more control over padding, use
 <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.pad.html">DataArray.pad</a> explicitly.</p>
@@ -7369,9 +7390,9 @@ <h4>Coarsen supports <code class="docutils literal notranslate"><span class="pre
 -1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12
 Coordinates:
     time     (year, month) float64 nan 2.0 3.0 4.0 5.0 ... 21.0 22.0 23.0 24.0
-Dimensions without coordinates: year, month</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>year</span>: 2</li><li><span>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6c464177-ca4b-4d33-8265-a44bb07bca7a' class='xr-array-in' type='checkbox' ><label for='section-6c464177-ca4b-4d33-8265-a44bb07bca7a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([[-1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12],
-       [ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12]])</pre></div></div></li><li class='xr-section-item'><input id='section-3fe16e25-aa32-449c-aa40-aba6c76dd187' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3fe16e25-aa32-449c-aa40-aba6c76dd187' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(year, month)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 2.0 3.0 4.0 ... 22.0 23.0 24.0</div><input id='attrs-3d203230-634d-4cc3-b5bf-4a8fad9c2155' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3d203230-634d-4cc3-b5bf-4a8fad9c2155' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3d18b9b-a77d-4aed-a7ad-673115e29b92' class='xr-var-data-in' type='checkbox'><label for='data-a3d18b9b-a77d-4aed-a7ad-673115e29b92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.],
-       [13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0bca98d2-4179-4549-be38-c2e6c67516b4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0bca98d2-4179-4549-be38-c2e6c67516b4' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-dd99d25b-08f6-4de4-837d-9258cb4d0459' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dd99d25b-08f6-4de4-837d-9258cb4d0459' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: year, month</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>year</span>: 2</li><li><span>month</span>: 12</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dba41a8c-da04-4a35-8076-278012674ee6' class='xr-array-in' type='checkbox' ><label for='section-dba41a8c-da04-4a35-8076-278012674ee6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12</span></div><div class='xr-array-data'><pre>array([[-1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12],
+       [ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12]])</pre></div></div></li><li class='xr-section-item'><input id='section-80d097c3-f3ed-4631-8281-14093caa2f5d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-80d097c3-f3ed-4631-8281-14093caa2f5d' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(year, month)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan 2.0 3.0 4.0 ... 22.0 23.0 24.0</div><input id='attrs-44c96555-fc46-479f-940b-b03a59b80f59' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-44c96555-fc46-479f-940b-b03a59b80f59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b474ea3-939c-4f01-884c-49c209fe0104' class='xr-var-data-in' type='checkbox'><label for='data-2b474ea3-939c-4f01-884c-49c209fe0104' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[nan,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12.],
+       [13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24.]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a7d6176f-2c67-430c-86b4-8148d5b83b9c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a7d6176f-2c67-430c-86b4-8148d5b83b9c' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-2d7da2ee-edca-4526-af47-25df2c0441e2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2d7da2ee-edca-4526-af47-25df2c0441e2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="admonition note">
 <p class="admonition-title">Note</p>
@@ -7444,7 +7465,7 @@ <h4>Coarsen supports <code class="docutils literal notranslate"><span class="pre
 </section>
 </section>
 <section id="summary">
-<h3>Summary<a class="headerlink" href="#summary" title="Permalink to this headline">#</a></h3>
+<h3>Summary<a class="headerlink" href="#summary" title="Permalink to this heading">#</a></h3>
 <p>Delete your <code class="docutils literal notranslate"><span class="pre">for</span></code> loops. Use <code class="docutils literal notranslate"><span class="pre">rolling</span></code> and <code class="docutils literal notranslate"><span class="pre">coarsen</span></code> for fixed size windowing operations.</p>
 <ol class="arabic simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">rolling</span></code> for overlapping windows</p></li>
@@ -7456,7 +7477,7 @@ <h3>Summary<a class="headerlink" href="#summary" title="Permalink to this headli
 </section>
 <hr class="docutils" />
 <section id="label-space-windows-or-bins-groupby">
-<h2>Label space “windows” or bins : GroupBy<a class="headerlink" href="#label-space-windows-or-bins-groupby" title="Permalink to this headline">#</a></h2>
+<h2>Label space “windows” or bins : GroupBy<a class="headerlink" href="#label-space-windows-or-bins-groupby" title="Permalink to this heading">#</a></h2>
 <p>Sometimes the windows you want are not regularly spaced or even defined by a grid.
 For instance, grouping data by month (which have varying numbers of days) or the results of an image classification.
 The GroupBy functions are essentially a generalization of <code class="docutils literal notranslate"><span class="pre">coarsen</span></code>:</p>
@@ -7470,7 +7491,7 @@ <h2>Label space “windows” or bins : GroupBy<a class="headerlink" href="#labe
 <p>Both <code class="docutils literal notranslate"><span class="pre">groupby_bins</span></code> and <code class="docutils literal notranslate"><span class="pre">resample</span></code> are implemented as <code class="docutils literal notranslate"><span class="pre">groupby</span></code> with a specific way of constructing group labels. The GroupBy pattern is very flexible!</p>
 </div>
 <section id="deconstructing-groupby">
-<h3>Deconstructing GroupBy<a class="headerlink" href="#deconstructing-groupby" title="Permalink to this headline">#</a></h3>
+<h3>Deconstructing GroupBy<a class="headerlink" href="#deconstructing-groupby" title="Permalink to this heading">#</a></h3>
 <p>The GroupBy workflow is commonly called “split-apply-combine”.</p>
 <ol class="arabic simple">
 <li><p><em>Split</em> : break dataset into groups</p></li>
@@ -7869,7 +7890,7 @@ <h3>Deconstructing GroupBy<a class="headerlink" href="#deconstructing-groupby" t
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7666b857-d357-4648-822e-2a95c692c831' class='xr-array-in' type='checkbox' ><label for='section-7666b857-d357-4648-822e-2a95c692c831' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ecad357b-57b9-40fd-a91b-417ec3e202b0' class='xr-array-in' type='checkbox' ><label for='section-ecad357b-57b9-40fd-a91b-417ec3e202b0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -7909,26 +7930,26 @@ <h3>Deconstructing GroupBy<a class="headerlink" href="#deconstructing-groupby" t
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-fb0860db-207e-414b-8dc0-ddf5d903a03f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fb0860db-207e-414b-8dc0-ddf5d903a03f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-86de1ea5-1dcc-4989-bb16-5150a274653a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86de1ea5-1dcc-4989-bb16-5150a274653a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8a99662-0bce-436c-a989-55889837a390' class='xr-var-data-in' type='checkbox'><label for='data-d8a99662-0bce-436c-a989-55889837a390' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-eb5649f6-32f4-4604-bfae-dfa062b915f6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-eb5649f6-32f4-4604-bfae-dfa062b915f6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-31511a88-bd27-4493-8eb4-ec42d74d4027' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31511a88-bd27-4493-8eb4-ec42d74d4027' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea9f3079-528e-40c0-9ee6-5d392602df14' class='xr-var-data-in' type='checkbox'><label for='data-ea9f3079-528e-40c0-9ee6-5d392602df14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-418ff1e1-758b-4aeb-b90b-8b8dbe3c8210' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-418ff1e1-758b-4aeb-b90b-8b8dbe3c8210' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e15aaf50-434a-47ef-a8ad-77233d8b5817' class='xr-var-data-in' type='checkbox'><label for='data-e15aaf50-434a-47ef-a8ad-77233d8b5817' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-85f410b8-9b51-4de6-bead-c02fc978b2a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85f410b8-9b51-4de6-bead-c02fc978b2a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-199760f8-0db7-47fa-87dc-9d0d3e49af46' class='xr-var-data-in' type='checkbox'><label for='data-199760f8-0db7-47fa-87dc-9d0d3e49af46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-86607edd-6ec0-4b30-bc53-7a5fab948886' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86607edd-6ec0-4b30-bc53-7a5fab948886' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85f0e368-94dd-44b3-a3ea-7035aa272741' class='xr-var-data-in' type='checkbox'><label for='data-85f0e368-94dd-44b3-a3ea-7035aa272741' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-aa284720-fd7e-4da1-91f3-c56c542078b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa284720-fd7e-4da1-91f3-c56c542078b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9b805b1-6b2c-4c29-9de3-e45351527b1a' class='xr-var-data-in' type='checkbox'><label for='data-d9b805b1-6b2c-4c29-9de3-e45351527b1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71637f58-224d-4c2c-9b96-8a3eaef27ca1' class='xr-section-summary-in' type='checkbox'  ><label for='section-71637f58-224d-4c2c-9b96-8a3eaef27ca1' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0b538844-e778-485b-bd43-ff2229803d7a' class='xr-index-data-in' type='checkbox'/><label for='index-0b538844-e778-485b-bd43-ff2229803d7a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eaeaad37-c78e-4ac8-9b64-80bbb72d6072' class='xr-section-summary-in' type='checkbox'  ><label for='section-eaeaad37-c78e-4ac8-9b64-80bbb72d6072' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7fd573dd-cadb-461a-94db-6b81770f5d07' class='xr-index-data-in' type='checkbox'/><label for='index-7fd573dd-cadb-461a-94db-6b81770f5d07' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-51005d34-e6ae-43d7-b4a3-a6b4f6924abd' class='xr-index-data-in' type='checkbox'/><label for='index-51005d34-e6ae-43d7-b4a3-a6b4f6924abd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-68526a61-08f3-4659-8e0e-6cd5fc8c67a5' class='xr-index-data-in' type='checkbox'/><label for='index-68526a61-08f3-4659-8e0e-6cd5fc8c67a5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a73e9b4b-b099-4a50-a63c-9363cf7afb8a' class='xr-index-data-in' type='checkbox'/><label for='index-a73e9b4b-b099-4a50-a63c-9363cf7afb8a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-da29f7b0-dddd-4796-91be-7565e189e8bb' class='xr-index-data-in' type='checkbox'/><label for='index-da29f7b0-dddd-4796-91be-7565e189e8bb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -7939,7 +7960,7 @@ <h3>Deconstructing GroupBy<a class="headerlink" href="#deconstructing-groupby" t
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-64689fb8-bff7-4b8a-80b3-5e05bb03e268' class='xr-section-summary-in' type='checkbox'  ><label for='section-64689fb8-bff7-4b8a-80b3-5e05bb03e268' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2eaba503-c00b-48d1-892e-1d5f834f57ea' class='xr-section-summary-in' type='checkbox'  ><label for='section-2eaba503-c00b-48d1-892e-1d5f834f57ea' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -8346,7 +8367,7 @@ <h3>Deconstructing GroupBy<a class="headerlink" href="#deconstructing-groupby" t
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6a740ce7-34cf-4b36-949f-313167161705' class='xr-array-in' type='checkbox' ><label for='section-6a740ce7-34cf-4b36-949f-313167161705' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>246.3 246.4 246.2 245.8 245.2 244.6 ... 298.0 298.0 297.6 297.6 297.5</span></div><div class='xr-array-data'><pre>array([[[246.34987, 246.38608, 246.21518, ..., 243.06113, 244.08795,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9974c5ed-c2f7-4ab3-ae8f-0d8f5b64b6bb' class='xr-array-in' type='checkbox' ><label for='section-9974c5ed-c2f7-4ab3-ae8f-0d8f5b64b6bb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>246.3 246.4 246.2 245.8 245.2 244.6 ... 298.0 298.0 297.6 297.6 297.5</span></div><div class='xr-array-data'><pre>array([[[246.34987, 246.38608, 246.21518, ..., 243.06113, 244.08795,
          245.6467 ],
         [248.8576 , 248.90733, 248.7104 , ..., 241.52866, 243.50865,
          246.75471],
@@ -8386,23 +8407,23 @@ <h3>Deconstructing GroupBy<a class="headerlink" href="#deconstructing-groupby" t
         [297.46814, 297.38025, 297.04428, ..., 296.8556 , 296.84668,
          296.52133],
         [297.8809 , 297.9868 , 297.77554, ..., 297.60034, 297.5655 ,
-         297.53763]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7c6b3be2-f955-4605-9ffa-8ac918281ba6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7c6b3be2-f955-4605-9ffa-8ac918281ba6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-4aad21ac-dce4-43e1-bffb-ec43dbdef5d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4aad21ac-dce4-43e1-bffb-ec43dbdef5d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de9edaf2-35a0-4b3a-a74f-ab66cfae0897' class='xr-var-data-in' type='checkbox'><label for='data-de9edaf2-35a0-4b3a-a74f-ab66cfae0897' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         297.53763]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-63f32374-cfa4-4748-8853-731ea90f91c4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-63f32374-cfa4-4748-8853-731ea90f91c4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-52f7ba5c-33a0-4c5f-8a5c-b71947377e11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52f7ba5c-33a0-4c5f-8a5c-b71947377e11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0112d1ac-dbd3-43a6-8353-35fe0ae26053' class='xr-var-data-in' type='checkbox'><label for='data-0112d1ac-dbd3-43a6-8353-35fe0ae26053' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-c80121e8-7be9-4aa5-8cfe-14ec69ec3908' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c80121e8-7be9-4aa5-8cfe-14ec69ec3908' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a38ca7d-56f1-492b-b741-bc7d6091c8e0' class='xr-var-data-in' type='checkbox'><label for='data-1a38ca7d-56f1-492b-b741-bc7d6091c8e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-fde5bec7-2c0b-4fa4-83e7-5576021732f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fde5bec7-2c0b-4fa4-83e7-5576021732f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3af7b1c8-bf7f-425a-9c68-365a37636055' class='xr-var-data-in' type='checkbox'><label for='data-3af7b1c8-bf7f-425a-9c68-365a37636055' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-98082afd-eab0-4f4c-8838-7a4bb847a986' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98082afd-eab0-4f4c-8838-7a4bb847a986' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-656a0db3-f0f2-4e63-8012-28be3d43e153' class='xr-var-data-in' type='checkbox'><label for='data-656a0db3-f0f2-4e63-8012-28be3d43e153' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9c657a32-3d48-4266-bb70-709b604c1a72' class='xr-section-summary-in' type='checkbox'  ><label for='section-9c657a32-3d48-4266-bb70-709b604c1a72' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a58815ac-5ab9-4b15-9401-ac0e2c7ddb00' class='xr-index-data-in' type='checkbox'/><label for='index-a58815ac-5ab9-4b15-9401-ac0e2c7ddb00' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-24c2306a-26eb-4f29-aaf2-4893b9679167' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-24c2306a-26eb-4f29-aaf2-4893b9679167' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85dbee64-4ac6-451d-9574-70b20088821a' class='xr-var-data-in' type='checkbox'><label for='data-85dbee64-4ac6-451d-9574-70b20088821a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-905df849-b071-4901-a074-2f92428f423c' class='xr-section-summary-in' type='checkbox'  ><label for='section-905df849-b071-4901-a074-2f92428f423c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c103a6c2-67c2-4259-b398-faf2860a891a' class='xr-index-data-in' type='checkbox'/><label for='index-c103a6c2-67c2-4259-b398-faf2860a891a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b6bc6f22-304e-4fe8-af0d-691a98416552' class='xr-index-data-in' type='checkbox'/><label for='index-b6bc6f22-304e-4fe8-af0d-691a98416552' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c6095e12-03d6-49b3-b4c3-ad7e465d426e' class='xr-index-data-in' type='checkbox'/><label for='index-c6095e12-03d6-49b3-b4c3-ad7e465d426e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7970a709-64a8-4cb0-8dc0-87d09bc68ae2' class='xr-index-data-in' type='checkbox'/><label for='index-7970a709-64a8-4cb0-8dc0-87d09bc68ae2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e0f4e780-12d8-4a57-9e8f-e2fa95266218' class='xr-section-summary-in' type='checkbox'  ><label for='section-e0f4e780-12d8-4a57-9e8f-e2fa95266218' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-40725166-49a6-47fe-b98a-badf4fbd250f' class='xr-index-data-in' type='checkbox'/><label for='index-40725166-49a6-47fe-b98a-badf4fbd250f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-99e7b854-6c9c-4f52-bd4f-33db6d54c93e' class='xr-section-summary-in' type='checkbox'  ><label for='section-99e7b854-6c9c-4f52-bd4f-33db6d54c93e' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Notice that since we have averaged over all the years for each month, our resulting DataArray no longer has a “year” coordinate.</p>
 <p>If we want to see how Xarray identifies “groups” for the monthly climatology computation, we can plot our input to <code class="docutils literal notranslate"><span class="pre">groupby</span></code>. GroupBy is clever enough to figure out how many values there are an thus how many groups to make.</p>
@@ -8413,7 +8434,7 @@ <h3>Deconstructing GroupBy<a class="headerlink" href="#deconstructing-groupby" t
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/1c7437d7b8ef4da840315f6ac1bca8ccb807adc8daf09b8d916008606afb233d.png" src="../_images/1c7437d7b8ef4da840315f6ac1bca8ccb807adc8daf09b8d916008606afb233d.png" />
+<img alt="../_images/3b8cda0a59bbcf99f332efec81c68287acef9a632598052a8c1d6c2a6f3d419a.png" src="../_images/3b8cda0a59bbcf99f332efec81c68287acef9a632598052a8c1d6c2a6f3d419a.png" />
 </div>
 </div>
 <p>Similarly for binning (remember this is useful when the parameter you are binning over is not “exact”, like a float),</p>
@@ -8438,6 +8459,10 @@ <h3>Deconstructing GroupBy<a class="headerlink" href="#deconstructing-groupby" t
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/groupby.py:534: FutureWarning: &#39;M&#39; is deprecated and will be removed in a future version, please use &#39;ME&#39; instead.
+  index_grouper = pd.Grouper(
+</pre></div>
+</div>
 <div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>DataArrayResample, grouped over &#39;__resample_dim__&#39;
 24 groups with labels 2013-01-31, ..., 2014-12-31.
 </pre></div>
@@ -8450,7 +8475,7 @@ <h3>Deconstructing GroupBy<a class="headerlink" href="#deconstructing-groupby" t
 </div>
 </section>
 <section id="constructing-group-labels">
-<h3>Constructing group labels<a class="headerlink" href="#constructing-group-labels" title="Permalink to this headline">#</a></h3>
+<h3>Constructing group labels<a class="headerlink" href="#constructing-group-labels" title="Permalink to this heading">#</a></h3>
 <p>If the automatic group detection doesn’t work for your problem then these functions are useful for constructing specific “group labels” in many cases</p>
 <ol class="arabic simple">
 <li><p><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.digitize.html">numpy.digitize</a>
@@ -8471,7 +8496,7 @@ <h3>Constructing group labels<a class="headerlink" href="#constructing-group-lab
 <p>Xarray uses <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.factorize.html"><code class="docutils literal notranslate"><span class="pre">pandas.factorize</span></code></a> for <code class="docutils literal notranslate"><span class="pre">groupby</span></code> and <a class="reference external" href="https://pandas.pydata.org/docs/reference/api/pandas.cut.html"><code class="docutils literal notranslate"><span class="pre">pandas.cut</span></code></a> for <code class="docutils literal notranslate"><span class="pre">groupby_bins</span></code>.</p>
 </div>
 <section id="datetime-components-for-creating-groups">
-<h4><a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/time-series.html#datetime-components">“Datetime components”</a> for creating groups<a class="headerlink" href="#datetime-components-for-creating-groups" title="Permalink to this headline">#</a></h4>
+<h4><a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/time-series.html#datetime-components">“Datetime components”</a> for creating groups<a class="headerlink" href="#datetime-components-for-creating-groups" title="Permalink to this heading">#</a></h4>
 <p>See a full list
 <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.core.accessor_dt.DatetimeAccessor.html?highlight=DatetimeAccessor">here</a></p>
 <p>These can be accessed in a few different ways as illustrated below.</p>
@@ -8851,13 +8876,13 @@ <h4><a class="reference external" href="https://docs.xarray.dev/en/stable/user-g
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Attributes:
     standard_name:  time
-    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8cfc1012-70f8-4c6e-9dec-bb7e5b5966bd' class='xr-array-in' type='checkbox' ><label for='section-8cfc1012-70f8-4c6e-9dec-bb7e5b5966bd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2013-01-01 2013-01-01T06:00:00 ... 2014-12-31T18:00:00</span></div><div class='xr-array-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2c9437b3-fdec-4ea1-a023-db8aba5a2a31' class='xr-array-in' type='checkbox' ><label for='section-2c9437b3-fdec-4ea1-a023-db8aba5a2a31' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2013-01-01 2013-01-01T06:00:00 ... 2014-12-31T18:00:00</span></div><div class='xr-array-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-77e7e0cc-b9e3-4dd3-b544-a45135397f10' class='xr-section-summary-in' type='checkbox'  checked><label for='section-77e7e0cc-b9e3-4dd3-b544-a45135397f10' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-6fbdbb7c-bc9f-42e7-a0a7-60cc694bf641' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fbdbb7c-bc9f-42e7-a0a7-60cc694bf641' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca67b5c3-8482-4f28-81cd-95ba39c133c2' class='xr-var-data-in' type='checkbox'><label for='data-ca67b5c3-8482-4f28-81cd-95ba39c133c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-bea04954-de90-4708-a1e6-38ed57caba35' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bea04954-de90-4708-a1e6-38ed57caba35' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-c5e076c6-c86e-41b2-8020-ff7f8dc943cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5e076c6-c86e-41b2-8020-ff7f8dc943cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e18a3b45-eb9c-493c-8e8c-1fb8c12365d2' class='xr-var-data-in' type='checkbox'><label for='data-e18a3b45-eb9c-493c-8e8c-1fb8c12365d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-61a7e673-b899-4ef0-8a84-759b65635657' class='xr-section-summary-in' type='checkbox'  ><label for='section-61a7e673-b899-4ef0-8a84-759b65635657' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0453485b-964d-4565-9d6b-d1c2b6967320' class='xr-index-data-in' type='checkbox'/><label for='index-0453485b-964d-4565-9d6b-d1c2b6967320' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-27f9279a-f8cb-44de-ae6f-137c57ec0892' class='xr-section-summary-in' type='checkbox'  ><label for='section-27f9279a-f8cb-44de-ae6f-137c57ec0892' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b2e3d3f6-1a8c-4158-a30f-ef6b42df966e' class='xr-index-data-in' type='checkbox'/><label for='index-b2e3d3f6-1a8c-4158-a30f-ef6b42df966e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -8868,7 +8893,7 @@ <h4><a class="reference external" href="https://docs.xarray.dev/en/stable/user-g
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-933402fe-c857-4db7-af50-3d7ca3aa5471' class='xr-section-summary-in' type='checkbox'  checked><label for='section-933402fe-c857-4db7-af50-3d7ca3aa5471' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a3f8f0b3-4c51-42c7-a532-fa8a014d8ee0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a3f8f0b3-4c51-42c7-a532-fa8a014d8ee0' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -9246,10 +9271,10 @@ <h4><a class="reference external" href="https://docs.xarray.dev/en/stable/user-g
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Attributes:
     standard_name:  time
-    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'day'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-083f2f2d-aa69-4f27-8d42-a9d6ff11410b' class='xr-array-in' type='checkbox' ><label for='section-083f2f2d-aa69-4f27-8d42-a9d6ff11410b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 1 1 1 2 2 2 2 3 3 3 3 4 4 ... 28 29 29 29 29 30 30 30 30 31 31 31 31</span></div><div class='xr-array-data'><pre>array([ 1,  1,  1, ..., 31, 31, 31])</pre></div></div></li><li class='xr-section-item'><input id='section-e8b967e9-cd8d-459e-b2da-5a66493d963c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e8b967e9-cd8d-459e-b2da-5a66493d963c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-da52fe3f-3dfa-4f4a-bf87-12ab04ef648e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da52fe3f-3dfa-4f4a-bf87-12ab04ef648e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c4361d0-aa33-4c0d-9cc1-6d849c0f4175' class='xr-var-data-in' type='checkbox'><label for='data-3c4361d0-aa33-4c0d-9cc1-6d849c0f4175' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'day'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ee256e5e-4a64-4beb-a2a5-8f34f9f45712' class='xr-array-in' type='checkbox' ><label for='section-ee256e5e-4a64-4beb-a2a5-8f34f9f45712' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 1 1 1 2 2 2 2 3 3 3 3 4 4 ... 28 29 29 29 29 30 30 30 30 31 31 31 31</span></div><div class='xr-array-data'><pre>array([ 1,  1,  1, ..., 31, 31, 31])</pre></div></div></li><li class='xr-section-item'><input id='section-2600aca1-bbc1-464f-8529-16a3cb9a0e3a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2600aca1-bbc1-464f-8529-16a3cb9a0e3a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-efa02f71-56ba-4d7e-9dd0-f8b4d16e5ad8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efa02f71-56ba-4d7e-9dd0-f8b4d16e5ad8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcd56d33-357e-4d5c-8534-2b0e4352eadd' class='xr-var-data-in' type='checkbox'><label for='data-fcd56d33-357e-4d5c-8534-2b0e4352eadd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78d3aff3-17db-4041-8c2b-b8916edf7a0c' class='xr-section-summary-in' type='checkbox'  ><label for='section-78d3aff3-17db-4041-8c2b-b8916edf7a0c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-14bd690e-85f5-4f88-9a60-bb4b5747185a' class='xr-index-data-in' type='checkbox'/><label for='index-14bd690e-85f5-4f88-9a60-bb4b5747185a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fee9b16f-eb95-4a03-bc78-0d0c88dc6ead' class='xr-section-summary-in' type='checkbox'  ><label for='section-fee9b16f-eb95-4a03-bc78-0d0c88dc6ead' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-74031d16-c12d-40c4-b65d-cb013a24334a' class='xr-index-data-in' type='checkbox'/><label for='index-74031d16-c12d-40c4-b65d-cb013a24334a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -9260,7 +9285,7 @@ <h4><a class="reference external" href="https://docs.xarray.dev/en/stable/user-g
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-155abdf4-fbff-4dae-ba18-76543597b204' class='xr-section-summary-in' type='checkbox'  checked><label for='section-155abdf4-fbff-4dae-ba18-76543597b204' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0cd2ba49-2123-42df-9449-77290bbbf0aa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0cd2ba49-2123-42df-9449-77290bbbf0aa' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -9635,10 +9660,10 @@ <h4><a class="reference external" href="https://docs.xarray.dev/en/stable/user-g
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;day&#x27; (time: 2920)&gt;
 1 1 1 1 2 2 2 2 3 3 3 3 4 4 4 4 ... 28 28 28 29 29 29 29 30 30 30 30 31 31 31 31
 Coordinates:
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'day'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-198f676a-0ba6-41af-8d30-16e52a4715ba' class='xr-array-in' type='checkbox' ><label for='section-198f676a-0ba6-41af-8d30-16e52a4715ba' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 1 1 1 2 2 2 2 3 3 3 3 4 4 ... 28 29 29 29 29 30 30 30 30 31 31 31 31</span></div><div class='xr-array-data'><pre>array([ 1,  1,  1, ..., 31, 31, 31])</pre></div></div></li><li class='xr-section-item'><input id='section-ea9e918d-bd40-4b7b-992b-d819b0173534' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ea9e918d-bd40-4b7b-992b-d819b0173534' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-415a2cf4-364d-45af-a323-76bfc060be95' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-415a2cf4-364d-45af-a323-76bfc060be95' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e77d2e20-44e7-42b0-92a9-e3f3b5a6a528' class='xr-var-data-in' type='checkbox'><label for='data-e77d2e20-44e7-42b0-92a9-e3f3b5a6a528' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'day'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1bb47726-188a-4acf-b2cb-a5034746e578' class='xr-array-in' type='checkbox' ><label for='section-1bb47726-188a-4acf-b2cb-a5034746e578' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 1 1 1 2 2 2 2 3 3 3 3 4 4 ... 28 29 29 29 29 30 30 30 30 31 31 31 31</span></div><div class='xr-array-data'><pre>array([ 1,  1,  1, ..., 31, 31, 31])</pre></div></div></li><li class='xr-section-item'><input id='section-dbc370ea-b061-4d59-ad63-a199548588c1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dbc370ea-b061-4d59-ad63-a199548588c1' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-d5df3d61-95b9-40a5-a595-0f0a35c5e8e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5df3d61-95b9-40a5-a595-0f0a35c5e8e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2b35817-cb2f-46f8-bac8-2f79a71fc161' class='xr-var-data-in' type='checkbox'><label for='data-f2b35817-cb2f-46f8-bac8-2f79a71fc161' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dda78768-025e-4af7-a502-83ad3b91e436' class='xr-section-summary-in' type='checkbox'  ><label for='section-dda78768-025e-4af7-a502-83ad3b91e436' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-85cab901-9399-4178-8ca3-f1d8db1c777a' class='xr-index-data-in' type='checkbox'/><label for='index-85cab901-9399-4178-8ca3-f1d8db1c777a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a1aa4104-9350-42e0-ae41-48af36ea6384' class='xr-section-summary-in' type='checkbox'  ><label for='section-a1aa4104-9350-42e0-ae41-48af36ea6384' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-22bbd115-d7c8-4fd4-b262-ad3f8320715b' class='xr-index-data-in' type='checkbox'/><label for='index-22bbd115-d7c8-4fd4-b262-ad3f8320715b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -9649,7 +9674,7 @@ <h4><a class="reference external" href="https://docs.xarray.dev/en/stable/user-g
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a0dcbc48-4b9e-4ed0-a98e-c1c5ac7290c8' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a0dcbc48-4b9e-4ed0-a98e-c1c5ac7290c8' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c0751515-7014-4a31-92e9-3342b1fa3d62' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c0751515-7014-4a31-92e9-3342b1fa3d62' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -10027,10 +10052,10 @@ <h4><a class="reference external" href="https://docs.xarray.dev/en/stable/user-g
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Attributes:
     standard_name:  time
-    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'season'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e8fccd0f-bb0c-4974-9edc-bf49526b6569' class='xr-array-in' type='checkbox' ><label for='section-e8fccd0f-bb0c-4974-9edc-bf49526b6569' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>&#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; ... &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27;</span></div><div class='xr-array-data'><pre>array([&#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, ..., &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;], dtype=object)</pre></div></div></li><li class='xr-section-item'><input id='section-c3209e08-5d70-4c69-a1e0-570ffa3b15d4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c3209e08-5d70-4c69-a1e0-570ffa3b15d4' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-d766aeed-897a-4229-b15b-21993213ac4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d766aeed-897a-4229-b15b-21993213ac4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d0a745a-1cf7-4930-90bd-32d71bedc040' class='xr-var-data-in' type='checkbox'><label for='data-2d0a745a-1cf7-4930-90bd-32d71bedc040' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'season'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2174208e-01df-42e0-83b1-97c3c21b3822' class='xr-array-in' type='checkbox' ><label for='section-2174208e-01df-42e0-83b1-97c3c21b3822' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>&#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; ... &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27;</span></div><div class='xr-array-data'><pre>array([&#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, ..., &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-6f99b59f-5dc0-41f9-b5d2-87d99c52e0fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f99b59f-5dc0-41f9-b5d2-87d99c52e0fa' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-73c91af2-a3b9-47a7-b801-b9e31636924b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73c91af2-a3b9-47a7-b801-b9e31636924b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebc7cade-9d28-4a34-b3c9-70110a6d17d3' class='xr-var-data-in' type='checkbox'><label for='data-ebc7cade-9d28-4a34-b3c9-70110a6d17d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-39415e7f-4a15-488d-a6cf-f78bb06bfc0a' class='xr-section-summary-in' type='checkbox'  ><label for='section-39415e7f-4a15-488d-a6cf-f78bb06bfc0a' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-85de5bc0-9a63-4633-ab85-c8ee76b7bf9e' class='xr-index-data-in' type='checkbox'/><label for='index-85de5bc0-9a63-4633-ab85-c8ee76b7bf9e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fdfc0d44-3ab1-4bd8-9ef1-de577eb801f7' class='xr-section-summary-in' type='checkbox'  ><label for='section-fdfc0d44-3ab1-4bd8-9ef1-de577eb801f7' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-05bd96d0-1ef8-4178-8e22-8516626898ee' class='xr-index-data-in' type='checkbox'/><label for='index-05bd96d0-1ef8-4178-8e22-8516626898ee' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -10041,13 +10066,13 @@ <h4><a class="reference external" href="https://docs.xarray.dev/en/stable/user-g
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d17379c6-9b2d-45c2-b5a4-edc1848a4b20' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d17379c6-9b2d-45c2-b5a4-edc1848a4b20' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-53ee3528-17d7-44bf-81e5-42e9e09c2158' class='xr-section-summary-in' type='checkbox'  checked><label for='section-53ee3528-17d7-44bf-81e5-42e9e09c2158' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="construct-and-use-custom-labels">
-<h4>Construct and use custom labels<a class="headerlink" href="#construct-and-use-custom-labels" title="Permalink to this headline">#</a></h4>
+<h4>Construct and use custom labels<a class="headerlink" href="#construct-and-use-custom-labels" title="Permalink to this heading">#</a></h4>
 <section id="custom-seasons-with-numpy-isin">
-<h5>Custom seasons with <code class="docutils literal notranslate"><span class="pre">numpy.isin</span></code>.<a class="headerlink" href="#custom-seasons-with-numpy-isin" title="Permalink to this headline">#</a></h5>
+<h5>Custom seasons with <code class="docutils literal notranslate"><span class="pre">numpy.isin</span></code>.<a class="headerlink" href="#custom-seasons-with-numpy-isin" title="Permalink to this heading">#</a></h5>
 <p>We want to group over four seasons: <code class="docutils literal notranslate"><span class="pre">DJF</span></code>, <code class="docutils literal notranslate"><span class="pre">MAM</span></code>, <code class="docutils literal notranslate"><span class="pre">JJAS</span></code>, <code class="docutils literal notranslate"><span class="pre">ON</span></code> - this makes physical sense in the Indian Ocean basin.</p>
 <p>Start by extracting months.</p>
 <div class="cell docutils container">
@@ -10466,10 +10491,10 @@ <h5>Custom seasons with <code class="docutils literal notranslate"><span class="
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Attributes:
     standard_name:  time
-    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-66c2ef02-f4fc-46b1-9fe2-7b24bf407b53' class='xr-array-in' type='checkbox' ><label for='section-66c2ef02-f4fc-46b1-9fe2-7b24bf407b53' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>&#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; ... &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27;</span></div><div class='xr-array-data'><pre>array([&#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, ..., &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;], dtype=&#x27;&lt;U4&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-d3eb10f5-270e-4931-b61c-16860f3e4585' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d3eb10f5-270e-4931-b61c-16860f3e4585' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-0c604f1f-4897-4011-a8e4-b233a3706028' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c604f1f-4897-4011-a8e4-b233a3706028' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c65e2e3f-8a01-4c50-bddc-024a69d19ce5' class='xr-var-data-in' type='checkbox'><label for='data-c65e2e3f-8a01-4c50-bddc-024a69d19ce5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6b0da10f-5a27-48a1-8a20-a43a66f2deee' class='xr-array-in' type='checkbox' ><label for='section-6b0da10f-5a27-48a1-8a20-a43a66f2deee' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>&#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; ... &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27; &#x27;DJF&#x27;</span></div><div class='xr-array-data'><pre>array([&#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;, ..., &#x27;DJF&#x27;, &#x27;DJF&#x27;, &#x27;DJF&#x27;], dtype=&#x27;&lt;U4&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-cf27afd9-8782-4d66-a15f-e91c28434e00' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cf27afd9-8782-4d66-a15f-e91c28434e00' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9f3014f5-dffb-4d01-8346-ee1e7ba1c678' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f3014f5-dffb-4d01-8346-ee1e7ba1c678' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3735651-bc2d-411b-8d5d-829d4279576c' class='xr-var-data-in' type='checkbox'><label for='data-a3735651-bc2d-411b-8d5d-829d4279576c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1222fcb8-015c-4f3d-ad4a-e24de497f0a8' class='xr-section-summary-in' type='checkbox'  ><label for='section-1222fcb8-015c-4f3d-ad4a-e24de497f0a8' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f04e86d1-dd3a-400f-81ed-5351303e5f87' class='xr-index-data-in' type='checkbox'/><label for='index-f04e86d1-dd3a-400f-81ed-5351303e5f87' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a25fd04c-2392-47b9-92bf-9aec5cf77d09' class='xr-section-summary-in' type='checkbox'  ><label for='section-a25fd04c-2392-47b9-92bf-9aec5cf77d09' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e4741eb2-d5f8-449e-9831-c2fe828f772a' class='xr-index-data-in' type='checkbox'/><label for='index-e4741eb2-d5f8-449e-9831-c2fe828f772a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -10480,7 +10505,7 @@ <h5>Custom seasons with <code class="docutils literal notranslate"><span class="
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff05c827-7168-48b8-8a5d-a90497d4afb8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ff05c827-7168-48b8-8a5d-a90497d4afb8' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-80a5d6df-4bce-4037-8d1b-d7568d54fdd2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-80a5d6df-4bce-4037-8d1b-d7568d54fdd2' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -10496,15 +10521,15 @@ <h5>Custom seasons with <code class="docutils literal notranslate"><span class="
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7ff985431e50&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7f9be4fada50&gt;
 </pre></div>
 </div>
-<img alt="../_images/a62fdb0ad3207886e59dba4859e6160b93bdc7943499cf7742b376116341f553.png" src="../_images/a62fdb0ad3207886e59dba4859e6160b93bdc7943499cf7742b376116341f553.png" />
+<img alt="../_images/db5599ea76cdd5f5b925127eda5533ce4544a76c902cc6089e9e9dd25b5f0a37.png" src="../_images/db5599ea76cdd5f5b925127eda5533ce4544a76c902cc6089e9e9dd25b5f0a37.png" />
 </div>
 </div>
 </section>
 <section id="floor-ceil-and-round-on-time">
-<h5><code class="docutils literal notranslate"><span class="pre">floor</span></code>, <code class="docutils literal notranslate"><span class="pre">ceil</span></code> and <code class="docutils literal notranslate"><span class="pre">round</span></code> on time<a class="headerlink" href="#floor-ceil-and-round-on-time" title="Permalink to this headline">#</a></h5>
+<h5><code class="docutils literal notranslate"><span class="pre">floor</span></code>, <code class="docutils literal notranslate"><span class="pre">ceil</span></code> and <code class="docutils literal notranslate"><span class="pre">round</span></code> on time<a class="headerlink" href="#floor-ceil-and-round-on-time" title="Permalink to this heading">#</a></h5>
 <p>Additional functionality in the <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.core.accessor_dt.DatetimeAccessor.html">datetime accessor</a> allows us to effectively “resample” our time data to remove roundoff errors in timestamps.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -10882,13 +10907,13 @@ <h5><code class="docutils literal notranslate"><span class="pre">floor</span></c
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Attributes:
     standard_name:  time
-    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-eff086dd-2936-4dd2-8af8-1bb9840914b1' class='xr-array-in' type='checkbox' ><label for='section-eff086dd-2936-4dd2-8af8-1bb9840914b1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2013-01-01 2013-01-01T06:00:00 ... 2014-12-31T18:00:00</span></div><div class='xr-array-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-411168a2-5195-4cd1-96e5-06dc7986cd37' class='xr-array-in' type='checkbox' ><label for='section-411168a2-5195-4cd1-96e5-06dc7986cd37' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2013-01-01 2013-01-01T06:00:00 ... 2014-12-31T18:00:00</span></div><div class='xr-array-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-5ca13098-0bed-4a4a-bd3a-4948bf4cabff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5ca13098-0bed-4a4a-bd3a-4948bf4cabff' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-fd2c2138-91ef-4964-96dd-6d8956dbda42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd2c2138-91ef-4964-96dd-6d8956dbda42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85851489-8dbe-4e87-b740-887781e38ca7' class='xr-var-data-in' type='checkbox'><label for='data-85851489-8dbe-4e87-b740-887781e38ca7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-fcde28e3-ba3e-4260-9922-c7295fe7baa4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fcde28e3-ba3e-4260-9922-c7295fe7baa4' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-ca1ffff9-ba96-4667-9711-e91da2949b05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca1ffff9-ba96-4667-9711-e91da2949b05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ffec032-58c2-49fa-83c1-e03b8e01ae66' class='xr-var-data-in' type='checkbox'><label for='data-9ffec032-58c2-49fa-83c1-e03b8e01ae66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae6b9447-00b2-46ca-9556-0f727dd8f70e' class='xr-section-summary-in' type='checkbox'  ><label for='section-ae6b9447-00b2-46ca-9556-0f727dd8f70e' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d3a38a1a-e510-4cf9-b913-f5551ed8ba48' class='xr-index-data-in' type='checkbox'/><label for='index-d3a38a1a-e510-4cf9-b913-f5551ed8ba48' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-389b2de2-273c-4395-b9d3-5691910e86ac' class='xr-section-summary-in' type='checkbox'  ><label for='section-389b2de2-273c-4395-b9d3-5691910e86ac' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3cb8963e-fdb2-4a2e-b01e-75368169ccc0' class='xr-index-data-in' type='checkbox'/><label for='index-3cb8963e-fdb2-4a2e-b01e-75368169ccc0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -10899,7 +10924,7 @@ <h5><code class="docutils literal notranslate"><span class="pre">floor</span></c
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-40b9521e-ab3d-4263-81aa-e4fc3baabbaa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-40b9521e-ab3d-4263-81aa-e4fc3baabbaa' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33d73cb1-71e3-438c-8905-deebd16f3d3e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-33d73cb1-71e3-438c-8905-deebd16f3d3e' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -11279,13 +11304,13 @@ <h5><code class="docutils literal notranslate"><span class="pre">floor</span></c
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Attributes:
     standard_name:  time
-    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'floor'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9215bff2-c333-4cd8-8f13-161045b619fe' class='xr-array-in' type='checkbox' ><label for='section-9215bff2-c333-4cd8-8f13-161045b619fe' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2013-01-01 2013-01-01 2013-01-01 ... 2014-12-31 2014-12-31 2014-12-31</span></div><div class='xr-array-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T00:00:00.000000000&#x27;,
+    long_name:      Time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'floor'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-02a88c7d-c810-4720-b4bc-00edfd5013b5' class='xr-array-in' type='checkbox' ><label for='section-02a88c7d-c810-4720-b4bc-00edfd5013b5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2013-01-01 2013-01-01 2013-01-01 ... 2014-12-31 2014-12-31 2014-12-31</span></div><div class='xr-array-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T00:00:00.000000000&#x27;,
        &#x27;2013-01-01T00:00:00.000000000&#x27;, ..., &#x27;2014-12-31T00:00:00.000000000&#x27;,
        &#x27;2014-12-31T00:00:00.000000000&#x27;, &#x27;2014-12-31T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-58fd52bf-ae3d-4f4c-a216-2613d3ef4172' class='xr-section-summary-in' type='checkbox'  checked><label for='section-58fd52bf-ae3d-4f4c-a216-2613d3ef4172' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-ab93fc4b-38c3-4669-bf28-b3af5e6062e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab93fc4b-38c3-4669-bf28-b3af5e6062e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a754080-326b-4b2a-afc7-8d2d78e77195' class='xr-var-data-in' type='checkbox'><label for='data-5a754080-326b-4b2a-afc7-8d2d78e77195' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-51843ede-6756-4724-92ca-a4dcc9e0b85a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-51843ede-6756-4724-92ca-a4dcc9e0b85a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9a18a197-d9ff-4410-b049-4e9bc13f8b0f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a18a197-d9ff-4410-b049-4e9bc13f8b0f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fda70c55-22a8-4cb4-8c02-cf8eff5df72a' class='xr-var-data-in' type='checkbox'><label for='data-fda70c55-22a8-4cb4-8c02-cf8eff5df72a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eb53087d-5af7-4014-9f74-b35dee3361a3' class='xr-section-summary-in' type='checkbox'  ><label for='section-eb53087d-5af7-4014-9f74-b35dee3361a3' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-71edf8d8-a09a-43fa-8928-09f0853d2741' class='xr-index-data-in' type='checkbox'/><label for='index-71edf8d8-a09a-43fa-8928-09f0853d2741' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0fc41d9d-ba6b-489a-8653-2647c3fe2a48' class='xr-section-summary-in' type='checkbox'  ><label for='section-0fc41d9d-ba6b-489a-8653-2647c3fe2a48' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5b3338c3-81ef-432d-94ed-44ecdd3e93bd' class='xr-index-data-in' type='checkbox'/><label for='index-5b3338c3-81ef-432d-94ed-44ecdd3e93bd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -11296,11 +11321,11 @@ <h5><code class="docutils literal notranslate"><span class="pre">floor</span></c
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ef43f9ad-9bc2-4042-a789-3dfa73a3af00' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ef43f9ad-9bc2-4042-a789-3dfa73a3af00' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b073e99-ad79-462f-b531-14bd68d3f0d1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0b073e99-ad79-462f-b531-14bd68d3f0d1' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="strftime-is-another-powerful-option">
-<h5><code class="docutils literal notranslate"><span class="pre">strftime</span></code> is another powerful option<a class="headerlink" href="#strftime-is-another-powerful-option" title="Permalink to this headline">#</a></h5>
+<h5><code class="docutils literal notranslate"><span class="pre">strftime</span></code> is another powerful option<a class="headerlink" href="#strftime-is-another-powerful-option" title="Permalink to this heading">#</a></h5>
 <p>So useful and so unintuitive that it has its own website: <a class="reference external" href="https://strftime.org/">https://strftime.org/</a></p>
 <p>This is useful to avoid merging “Feb-29” and “Mar-01” for a daily climatology</p>
 <div class="cell docutils container">
@@ -11676,11 +11701,11 @@ <h5><code class="docutils literal notranslate"><span class="pre">strftime</span>
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;strftime&#x27; (time: 2920)&gt;
 &#x27;Jan-01&#x27; &#x27;Jan-01&#x27; &#x27;Jan-01&#x27; &#x27;Jan-01&#x27; ... &#x27;Dec-31&#x27; &#x27;Dec-31&#x27; &#x27;Dec-31&#x27; &#x27;Dec-31&#x27;
 Coordinates:
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'strftime'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-40f4739f-4fe3-434b-b055-faf500f510cf' class='xr-array-in' type='checkbox' ><label for='section-40f4739f-4fe3-434b-b055-faf500f510cf' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>&#x27;Jan-01&#x27; &#x27;Jan-01&#x27; &#x27;Jan-01&#x27; &#x27;Jan-01&#x27; ... &#x27;Dec-31&#x27; &#x27;Dec-31&#x27; &#x27;Dec-31&#x27;</span></div><div class='xr-array-data'><pre>array([&#x27;Jan-01&#x27;, &#x27;Jan-01&#x27;, &#x27;Jan-01&#x27;, ..., &#x27;Dec-31&#x27;, &#x27;Dec-31&#x27;, &#x27;Dec-31&#x27;],
-      dtype=object)</pre></div></div></li><li class='xr-section-item'><input id='section-426ffd84-a512-400b-9fe4-2777ebed1cb1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-426ffd84-a512-400b-9fe4-2777ebed1cb1' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-875cf623-f4f5-447c-9339-609dc5943677' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-875cf623-f4f5-447c-9339-609dc5943677' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-970c5de1-43b0-49db-84d6-3f3574e04b82' class='xr-var-data-in' type='checkbox'><label for='data-970c5de1-43b0-49db-84d6-3f3574e04b82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'strftime'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ae19d0f9-53cc-42e6-bdc0-0acc16a829c9' class='xr-array-in' type='checkbox' ><label for='section-ae19d0f9-53cc-42e6-bdc0-0acc16a829c9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>&#x27;Jan-01&#x27; &#x27;Jan-01&#x27; &#x27;Jan-01&#x27; &#x27;Jan-01&#x27; ... &#x27;Dec-31&#x27; &#x27;Dec-31&#x27; &#x27;Dec-31&#x27;</span></div><div class='xr-array-data'><pre>array([&#x27;Jan-01&#x27;, &#x27;Jan-01&#x27;, &#x27;Jan-01&#x27;, ..., &#x27;Dec-31&#x27;, &#x27;Dec-31&#x27;, &#x27;Dec-31&#x27;],
+      dtype=object)</pre></div></div></li><li class='xr-section-item'><input id='section-70071b80-2007-44ba-bbdc-b528c3cb4455' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70071b80-2007-44ba-bbdc-b528c3cb4455' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-1cbfb4c6-0530-4623-99a6-be67c98ab6b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cbfb4c6-0530-4623-99a6-be67c98ab6b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2ec26e5-334c-4bd6-8a8f-122e86a67477' class='xr-var-data-in' type='checkbox'><label for='data-e2ec26e5-334c-4bd6-8a8f-122e86a67477' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f25328ba-be9e-4968-a21b-fa4d491c3a45' class='xr-section-summary-in' type='checkbox'  ><label for='section-f25328ba-be9e-4968-a21b-fa4d491c3a45' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-55fda559-843b-481b-94fc-f4cf86514ddb' class='xr-index-data-in' type='checkbox'/><label for='index-55fda559-843b-481b-94fc-f4cf86514ddb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa59f392-387b-49da-b0bd-bf65c5e7617b' class='xr-section-summary-in' type='checkbox'  ><label for='section-fa59f392-387b-49da-b0bd-bf65c5e7617b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8d9b9064-fc02-4581-85a2-1ec5b9f03f8c' class='xr-index-data-in' type='checkbox'/><label for='index-8d9b9064-fc02-4581-85a2-1ec5b9f03f8c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -11691,13 +11716,13 @@ <h5><code class="docutils literal notranslate"><span class="pre">strftime</span>
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07423719-f8a3-4803-a45a-aead919554ba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-07423719-f8a3-4803-a45a-aead919554ba' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4473a943-dab1-4fdf-9301-e5eb3a8005d3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4473a943-dab1-4fdf-9301-e5eb3a8005d3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 </section>
 </section>
 <section id="custom-reductions-with-groupby-reduce">
-<h3>Custom reductions with <code class="docutils literal notranslate"><span class="pre">GroupBy.reduce</span></code><a class="headerlink" href="#custom-reductions-with-groupby-reduce" title="Permalink to this headline">#</a></h3>
+<h3>Custom reductions with <code class="docutils literal notranslate"><span class="pre">GroupBy.reduce</span></code><a class="headerlink" href="#custom-reductions-with-groupby-reduce" title="Permalink to this heading">#</a></h3>
 <p>Analogous to <code class="docutils literal notranslate"><span class="pre">rolling</span></code>, <code class="docutils literal notranslate"><span class="pre">reduce</span></code> and <code class="docutils literal notranslate"><span class="pre">map</span></code> apply custom reductions to <code class="docutils literal notranslate"><span class="pre">groupby_bins</span></code> and <code class="docutils literal notranslate"><span class="pre">resample</span></code>.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -11706,10 +11731,10 @@ <h3>Custom reductions with <code class="docutils literal notranslate"><span clas
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7ff9852706d0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7f9be4f283d0&gt;
 </pre></div>
 </div>
-<img alt="../_images/377de1f14e6b5ca157dabe6019ebf3362d105e4d0db1bbd9381c09022f5d9175.png" src="../_images/377de1f14e6b5ca157dabe6019ebf3362d105e4d0db1bbd9381c09022f5d9175.png" />
+<img alt="../_images/c22c0f5add5c72fa3a20abcdc4a1a982239f43636cd60ea3adf05688abd94514.png" src="../_images/c22c0f5add5c72fa3a20abcdc4a1a982239f43636cd60ea3adf05688abd94514.png" />
 </div>
 </div>
 <div class="admonition tip">
@@ -11718,10 +11743,10 @@ <h3>Custom reductions with <code class="docutils literal notranslate"><span clas
 </div>
 </section>
 <section id="viewing-the-groupby-operation-on-your-dataarray-or-dataset">
-<h3>Viewing the GroupBy operation on your DataArray or DataSet<a class="headerlink" href="#viewing-the-groupby-operation-on-your-dataarray-or-dataset" title="Permalink to this headline">#</a></h3>
+<h3>Viewing the GroupBy operation on your DataArray or DataSet<a class="headerlink" href="#viewing-the-groupby-operation-on-your-dataarray-or-dataset" title="Permalink to this heading">#</a></h3>
 <p>GroupBy does <em>not</em> provide a <code class="docutils literal notranslate"><span class="pre">construct</span></code> method, because all the groups need not be the same “length” (e.g. months can have 28, 29, 30, or 31 days).</p>
 <section id="instead-looping-over-groupby-objects-is-possible">
-<h4>Instead looping over groupby objects is possible<a class="headerlink" href="#instead-looping-over-groupby-objects-is-possible" title="Permalink to this headline">#</a></h4>
+<h4>Instead looping over groupby objects is possible<a class="headerlink" href="#instead-looping-over-groupby-objects-is-possible" title="Permalink to this heading">#</a></h4>
 <p>Because <code class="docutils literal notranslate"><span class="pre">groupby</span></code> returns an iterator that loops over each group, it is easy to loop over groupby objects. You can also iterate over <code class="docutils literal notranslate"><span class="pre">rolling</span></code> and <code class="docutils literal notranslate"><span class="pre">coarsen</span></code> objects, however this approach is usually quite slow.</p>
 <p>Maybe you want to plot data in each group separately:</p>
 <div class="cell docutils container">
@@ -12136,7 +12161,7 @@ <h4>Instead looping over groupby objects is possible<a class="headerlink" href="
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 248</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-09e800f2-1917-4d41-9b51-7582d1734e40' class='xr-array-in' type='checkbox' ><label for='section-09e800f2-1917-4d41-9b51-7582d1734e40' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>268.8 266.6 263.8 260.7 257.6 254.8 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[268.79   , 266.6    , 263.79   , ..., 238.2    , 239.39   ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 248</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f95ffa51-d90d-4530-a235-4d6818e888cf' class='xr-array-in' type='checkbox' ><label for='section-f95ffa51-d90d-4530-a235-4d6818e888cf' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>268.8 266.6 263.8 260.7 257.6 254.8 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[268.79   , 266.6    , 263.79   , ..., 238.2    , 239.39   ,
          240.39   ],
         [268.29   , 265.69998, 262.5    , ..., 239.7    , 240.89   ,
          242.29999],
@@ -12176,26 +12201,26 @@ <h4>Instead looping over groupby objects is possible<a class="headerlink" href="
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-48c67ddc-57b6-4615-87b2-0e325cd7205c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-48c67ddc-57b6-4615-87b2-0e325cd7205c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-da83237b-c38a-4758-9e5e-09aed28b54cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da83237b-c38a-4758-9e5e-09aed28b54cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e047e80-ff10-46cd-9a37-0783198ff507' class='xr-var-data-in' type='checkbox'><label for='data-6e047e80-ff10-46cd-9a37-0783198ff507' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e8f1a74a-0d4f-4b10-a33d-1764d310f349' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e8f1a74a-0d4f-4b10-a33d-1764d310f349' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-48ed228c-5f05-43f5-9bbf-0a8685e6167e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48ed228c-5f05-43f5-9bbf-0a8685e6167e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6037f96-1c4e-4547-b87a-39fa6b7cf989' class='xr-var-data-in' type='checkbox'><label for='data-f6037f96-1c4e-4547-b87a-39fa6b7cf989' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-2904c051-5369-4ebd-aaae-ef6a29d11642' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2904c051-5369-4ebd-aaae-ef6a29d11642' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fc2ac1a-bc50-4ede-91dc-0961f3b86ef7' class='xr-var-data-in' type='checkbox'><label for='data-1fc2ac1a-bc50-4ede-91dc-0961f3b86ef7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-577bbf86-03b0-48b8-90e5-dd229f67746a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-577bbf86-03b0-48b8-90e5-dd229f67746a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7409343c-50dc-47c1-863a-e03198d46eaf' class='xr-var-data-in' type='checkbox'><label for='data-7409343c-50dc-47c1-863a-e03198d46eaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-12-01 ... 2014-12-31T18:00:00</div><input id='attrs-f2a2ead8-d97b-4597-a653-bf12ab39cd17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2a2ead8-d97b-4597-a653-bf12ab39cd17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2779520d-012d-4327-93e9-5973bdbc1ff7' class='xr-var-data-in' type='checkbox'><label for='data-2779520d-012d-4327-93e9-5973bdbc1ff7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-12-01T00:00:00.000000000&#x27;, &#x27;2013-12-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-12-01 ... 2014-12-31T18:00:00</div><input id='attrs-bb02c2ff-b85c-45d8-b126-3632a50b9551' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb02c2ff-b85c-45d8-b126-3632a50b9551' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-618d0be5-aa43-400e-84df-532170f86fed' class='xr-var-data-in' type='checkbox'><label for='data-618d0be5-aa43-400e-84df-532170f86fed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-12-01T00:00:00.000000000&#x27;, &#x27;2013-12-01T06:00:00.000000000&#x27;,
        &#x27;2013-12-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-068ab678-2fe2-4521-9f30-4fee65180958' class='xr-section-summary-in' type='checkbox'  ><label for='section-068ab678-2fe2-4521-9f30-4fee65180958' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4c86b1a6-3021-43fa-a42c-bd659a72ed9a' class='xr-index-data-in' type='checkbox'/><label for='index-4c86b1a6-3021-43fa-a42c-bd659a72ed9a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c08d6fd-5f3e-4366-bc54-1ba462652a99' class='xr-section-summary-in' type='checkbox'  ><label for='section-3c08d6fd-5f3e-4366-bc54-1ba462652a99' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-74fe0283-9a1d-41aa-b83c-f75a10f30d66' class='xr-index-data-in' type='checkbox'/><label for='index-74fe0283-9a1d-41aa-b83c-f75a10f30d66' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ef5b2edb-29dd-434d-9486-d4e7f36c2f2b' class='xr-index-data-in' type='checkbox'/><label for='index-ef5b2edb-29dd-434d-9486-d4e7f36c2f2b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c9b338f3-9678-4fd6-b44f-f19311c57e21' class='xr-index-data-in' type='checkbox'/><label for='index-c9b338f3-9678-4fd6-b44f-f19311c57e21' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0dcc0899-c25e-4c06-92de-8c3caac61259' class='xr-index-data-in' type='checkbox'/><label for='index-0dcc0899-c25e-4c06-92de-8c3caac61259' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-12-01 00:00:00&#x27;, &#x27;2013-12-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3d764c99-4bf9-41f1-97a1-0ae02106175d' class='xr-index-data-in' type='checkbox'/><label for='index-3d764c99-4bf9-41f1-97a1-0ae02106175d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-12-01 00:00:00&#x27;, &#x27;2013-12-01 06:00:00&#x27;,
                &#x27;2013-12-01 12:00:00&#x27;, &#x27;2013-12-01 18:00:00&#x27;,
                &#x27;2013-12-02 00:00:00&#x27;, &#x27;2013-12-02 06:00:00&#x27;,
                &#x27;2013-12-02 12:00:00&#x27;, &#x27;2013-12-02 18:00:00&#x27;,
@@ -12206,7 +12231,7 @@ <h4>Instead looping over groupby objects is possible<a class="headerlink" href="
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=248, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bf6f8b8b-8c19-4bda-bdc1-8753a63700a2' class='xr-section-summary-in' type='checkbox'  ><label for='section-bf6f8b8b-8c19-4bda-bdc1-8753a63700a2' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=248, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dcde463d-754d-4b47-a298-96e8b7166a74' class='xr-section-summary-in' type='checkbox'  ><label for='section-dcde463d-754d-4b47-a298-96e8b7166a74' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Maybe you want a histogram of December temperatures?</p>
 <div class="cell docutils container">
@@ -12224,7 +12249,7 @@ <h4>Instead looping over groupby objects is possible<a class="headerlink" href="
  &lt;BarContainer object of 10 artists&gt;)
 </pre></div>
 </div>
-<img alt="../_images/599eeadf7284152aa7be1d862235ec0846c3af4a7a5d32183418f95296b4979d.png" src="../_images/599eeadf7284152aa7be1d862235ec0846c3af4a7a5d32183418f95296b4979d.png" />
+<img alt="../_images/b89a3c246a2ceb5c2d52906fe8a9bd9b07687e9fbf794878d126b6c7cd847b0d.png" src="../_images/b89a3c246a2ceb5c2d52906fe8a9bd9b07687e9fbf794878d126b6c7cd847b0d.png" />
 </div>
 </div>
 <p>Remember, this example is just to show how you could operate on each group object in a groupby operation. If we wanted to just explore the December (or March) data, we should just filter for it directly:</p>
@@ -12243,12 +12268,12 @@ <h4>Instead looping over groupby objects is possible<a class="headerlink" href="
  &lt;BarContainer object of 10 artists&gt;)
 </pre></div>
 </div>
-<img alt="../_images/599eeadf7284152aa7be1d862235ec0846c3af4a7a5d32183418f95296b4979d.png" src="../_images/599eeadf7284152aa7be1d862235ec0846c3af4a7a5d32183418f95296b4979d.png" />
+<img alt="../_images/b89a3c246a2ceb5c2d52906fe8a9bd9b07687e9fbf794878d126b6c7cd847b0d.png" src="../_images/b89a3c246a2ceb5c2d52906fe8a9bd9b07687e9fbf794878d126b6c7cd847b0d.png" />
 </div>
 </div>
 </section>
 <section id="in-most-cases-avoid-a-for-loop-using-map">
-<h4>In most cases, avoid a for loop using <code class="docutils literal notranslate"><span class="pre">map</span></code><a class="headerlink" href="#in-most-cases-avoid-a-for-loop-using-map" title="Permalink to this headline">#</a></h4>
+<h4>In most cases, avoid a for loop using <code class="docutils literal notranslate"><span class="pre">map</span></code><a class="headerlink" href="#in-most-cases-avoid-a-for-loop-using-map" title="Permalink to this heading">#</a></h4>
 <p><code class="docutils literal notranslate"><span class="pre">map</span></code> enables us to apply functions that expect xarray Datasets or DataArrays. This makes it easy to perform calculations on the grouped data, add the results from each group back to the original object, and avoid having to manually combine results (using concat).</p>
 <div class="admonition tip">
 <p class="admonition-title">Tip</p>
@@ -12646,7 +12671,7 @@ <h4>In most cases, avoid a for loop using <code class="docutils literal notransl
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'iqr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d3c0bae0-0670-4eef-b38b-1554b957f072' class='xr-array-in' type='checkbox' ><label for='section-d3c0bae0-0670-4eef-b38b-1554b957f072' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.528 7.425 7.025 6.65 6.152 6.135 ... 0.9 0.855 1.0 1.3 1.432 1.5</span></div><div class='xr-array-data'><pre>array([[[ 7.52750015,  7.42500687,  7.02500153, ...,  4.64250946,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'iqr'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>month</span>: 12</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3876de16-48ed-418b-91f8-34730e93f07c' class='xr-array-in' type='checkbox' ><label for='section-3876de16-48ed-418b-91f8-34730e93f07c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.528 7.425 7.025 6.65 6.152 6.135 ... 0.9 0.855 1.0 1.3 1.432 1.5</span></div><div class='xr-array-data'><pre>array([[[ 7.52750015,  7.42500687,  7.02500153, ...,  4.64250946,
           4.82500076,  4.54750061],
         [ 6.23500061,  6.45250702,  6.34999084, ...,  5.5       ,
           6.33250046,  7.5225029 ],
@@ -12686,30 +12711,30 @@ <h4>In most cases, avoid a for loop using <code class="docutils literal notransl
         [ 1.1000061 ,  0.98999023,  1.        , ...,  1.20999146,
           1.5       ,  1.89498901],
         [ 0.98999023,  0.98999023,  0.90997314, ...,  1.29998779,
-          1.43247986,  1.5       ]]])</pre></div></div></li><li class='xr-section-item'><input id='section-2cec0883-22d0-4efc-a966-bd74f5618edc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2cec0883-22d0-4efc-a966-bd74f5618edc' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-9c675297-d2a4-4274-b7c5-e3b31feec7b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c675297-d2a4-4274-b7c5-e3b31feec7b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28ae5eeb-aecc-4ea7-bbed-b623a721841b' class='xr-var-data-in' type='checkbox'><label for='data-28ae5eeb-aecc-4ea7-bbed-b623a721841b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+          1.43247986,  1.5       ]]])</pre></div></div></li><li class='xr-section-item'><input id='section-093f2816-caf3-4899-9387-d09b56c7802f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-093f2816-caf3-4899-9387-d09b56c7802f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-57c17388-0744-4356-9828-a5f4f40e2d10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57c17388-0744-4356-9828-a5f4f40e2d10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fc946b7-f3fe-455a-aa91-7e4191f45ed5' class='xr-var-data-in' type='checkbox'><label for='data-0fc946b7-f3fe-455a-aa91-7e4191f45ed5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-69a7f3b7-c1f4-47dc-8ff6-60a875a1bc60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69a7f3b7-c1f4-47dc-8ff6-60a875a1bc60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f13628da-a45c-4b76-9e90-376335db2e20' class='xr-var-data-in' type='checkbox'><label for='data-f13628da-a45c-4b76-9e90-376335db2e20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-b88ad5bd-55ee-4484-b699-6130d46cf17f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b88ad5bd-55ee-4484-b699-6130d46cf17f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eef3c21a-be03-49a0-851f-4f99364d5d22' class='xr-var-data-in' type='checkbox'><label for='data-eef3c21a-be03-49a0-851f-4f99364d5d22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-bc23a23d-9f3c-4de7-b170-b5654878648e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc23a23d-9f3c-4de7-b170-b5654878648e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce9cc9b3-9266-41dd-9a37-e650edad1382' class='xr-var-data-in' type='checkbox'><label for='data-ce9cc9b3-9266-41dd-9a37-e650edad1382' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-60c98b39-c6ed-4a69-b3ba-7b388e3eb1db' class='xr-section-summary-in' type='checkbox'  ><label for='section-60c98b39-c6ed-4a69-b3ba-7b388e3eb1db' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-933c498f-3029-42e9-94a0-8ca4fb246b12' class='xr-index-data-in' type='checkbox'/><label for='index-933c498f-3029-42e9-94a0-8ca4fb246b12' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-2f754477-b69a-4457-9d89-057fb7d629a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f754477-b69a-4457-9d89-057fb7d629a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8209c367-afc2-42de-864d-80fa1e0bf4e7' class='xr-var-data-in' type='checkbox'><label for='data-8209c367-afc2-42de-864d-80fa1e0bf4e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1e8988e6-bc4c-46f2-8d12-9e85e9956f5e' class='xr-section-summary-in' type='checkbox'  ><label for='section-1e8988e6-bc4c-46f2-8d12-9e85e9956f5e' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-017238a4-e23b-4ba0-a6ee-0ab45b305527' class='xr-index-data-in' type='checkbox'/><label for='index-017238a4-e23b-4ba0-a6ee-0ab45b305527' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ab1f4e1e-912b-4522-9d90-6d5109ba6121' class='xr-index-data-in' type='checkbox'/><label for='index-ab1f4e1e-912b-4522-9d90-6d5109ba6121' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6bd2a12f-94c3-4a2a-8187-86fecefe856d' class='xr-index-data-in' type='checkbox'/><label for='index-6bd2a12f-94c3-4a2a-8187-86fecefe856d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-26bbaa33-1156-4894-badb-dc97b87cfacd' class='xr-index-data-in' type='checkbox'/><label for='index-26bbaa33-1156-4894-badb-dc97b87cfacd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-39a3e3f0-91bc-4a5b-9444-bd3051489e78' class='xr-section-summary-in' type='checkbox'  ><label for='section-39a3e3f0-91bc-4a5b-9444-bd3051489e78' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>month</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ede53ac1-8f8f-41f9-a59c-124aedf3fd08' class='xr-index-data-in' type='checkbox'/><label for='index-ede53ac1-8f8f-41f9-a59c-124aedf3fd08' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], dtype=&#x27;int64&#x27;, name=&#x27;month&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-61244b69-91da-4d00-a11c-3238f86fec53' class='xr-section-summary-in' type='checkbox'  ><label for='section-61244b69-91da-4d00-a11c-3238f86fec53' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 </section>
 </section>
 <hr class="docutils" />
 <section id="id1">
-<h2>Summary<a class="headerlink" href="#id1" title="Permalink to this headline">#</a></h2>
+<h2>Summary<a class="headerlink" href="#id1" title="Permalink to this heading">#</a></h2>
 <p>Xarray provides methods for high-level analysis patterns:</p>
 <ol class="arabic simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">rolling</span></code> :
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@@ -3,7 +3,7 @@
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-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
   <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -519,10 +536,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="accessing-remote-data-stored-on-the-cloud">
-<h1>Accessing remote data stored on the cloud<a class="headerlink" href="#accessing-remote-data-stored-on-the-cloud" title="Permalink to this headline">#</a></h1>
+<h1>Accessing remote data stored on the cloud<a class="headerlink" href="#accessing-remote-data-stored-on-the-cloud" title="Permalink to this heading">#</a></h1>
 <p>In this tutorial, we’ll cover the following:</p>
 <ul class="simple">
 <li><p>Finding a cloud hosted Zarr archive of CMIP6 dataset(s)</p></li>
@@ -539,7 +556,7 @@ <h1>Accessing remote data stored on the cloud<a class="headerlink" href="#access
 </div>
 </div>
 <section id="finding-cloud-native-data">
-<h2>Finding cloud native data<a class="headerlink" href="#finding-cloud-native-data" title="Permalink to this headline">#</a></h2>
+<h2>Finding cloud native data<a class="headerlink" href="#finding-cloud-native-data" title="Permalink to this heading">#</a></h2>
 <p>Cloud-native data means data that is structured for efficient querying across the network.
 Typically, this means having metadata that describes the entire file in the header of the
 file, or having a a separate pointer file (so that there is no need to download everything first).</p>
@@ -551,7 +568,7 @@ <h2>Finding cloud native data<a class="headerlink" href="#finding-cloud-native-d
 <li><p><a class="reference external" href="https://cloud.google.com/storage">Google Cloud Storage</a></p></li>
 </ul>
 <section id="getting-cloud-hosted-cmip6-data">
-<h3>Getting cloud hosted CMIP6 data<a class="headerlink" href="#getting-cloud-hosted-cmip6-data" title="Permalink to this headline">#</a></h3>
+<h3>Getting cloud hosted CMIP6 data<a class="headerlink" href="#getting-cloud-hosted-cmip6-data" title="Permalink to this heading">#</a></h3>
 <p>The <a class="reference external" href="https://en.wikipedia.org/wiki/CMIP6#CMIP_Phase_6">Coupled Model Intercomparison Project Phase 6 (CMIP6)</a>
 dataset is a rich archive of modelling experiments carried out to predict the climate change impacts.
 The datasets are stored using the <a class="reference external" href="https://zarr.dev">Zarr</a> format, and we’ll go over how to access it.</p>
@@ -910,7 +927,7 @@ <h3>Getting cloud hosted CMIP6 data<a class="headerlink" href="#getting-cloud-ho
 </section>
 </section>
 <section id="reading-from-the-remote-zarr-storage">
-<h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-from-the-remote-zarr-storage" title="Permalink to this headline">#</a></h2>
+<h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-from-the-remote-zarr-storage" title="Permalink to this heading">#</a></h2>
 <p>In many cases, you’ll need to first connect to the cloud provider.
 The CMIP6 dataset allows anonymous access, but for some cases,
 you may need to authenticate.</p>
@@ -1334,7 +1351,7 @@ <h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-fro
     variant_info:           N/A
     variant_label:          r1i1p1f1
     netcdf_tracking_ids:    hdl:21.14100/328fd441-31bb-474f-8fd1-7e3420b72524...
-    version_id:             v20180701</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-20d2e054-f17c-4c66-b182-709a131a5fd1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-20d2e054-f17c-4c66-b182-709a131a5fd1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 576</li><li><span class='xr-has-index'>x</span>: 720</li><li><span>vertex</span>: 4</li><li><span class='xr-has-index'>time</span>: 1032</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c8fde67d-1bd9-4774-8c34-39d8911033a9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c8fde67d-1bd9-4774-8c34-39d8911033a9' class='xr-section-summary' >Coordinates: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-09586692-c339-4c2d-97a3-e4eb51f7c0d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-09586692-c339-4c2d-97a3-e4eb51f7c0d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43571dc9-04fb-4894-8c3b-b9926d449bd6' class='xr-var-data-in' type='checkbox'><label for='data-43571dc9-04fb-4894-8c3b-b9926d449bd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertex number</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-ab564f36-c2ac-41c1-844b-a68e493f0848' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab564f36-c2ac-41c1-844b-a68e493f0848' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d852199-178f-4ca5-a863-1e337216e79a' class='xr-var-data-in' type='checkbox'><label for='data-3d852199-178f-4ca5-a863-1e337216e79a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>cell_methods :</span></dt><dd>y: point x: point</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>
+    version_id:             v20180701</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2c9a204b-a124-4048-baf8-8a7c7cf63566' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2c9a204b-a124-4048-baf8-8a7c7cf63566' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>bnds</span>: 2</li><li><span class='xr-has-index'>y</span>: 576</li><li><span class='xr-has-index'>x</span>: 720</li><li><span>vertex</span>: 4</li><li><span class='xr-has-index'>time</span>: 1032</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b6c680e9-3ffd-4d5e-80bc-e84f1570d0a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b6c680e9-3ffd-4d5e-80bc-e84f1570d0a4' class='xr-section-summary' >Coordinates: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>bnds</span></div><div class='xr-var-dims'>(bnds)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-a9300df2-fcd8-4fd7-937e-f2ea5ab025ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9300df2-fcd8-4fd7-937e-f2ea5ab025ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ccca1e1-1e04-476d-987a-1c0eb2aad4f1' class='xr-var-data-in' type='checkbox'><label for='data-0ccca1e1-1e04-476d-987a-1c0eb2aad4f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertex number</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-0e9555ef-f497-4a52-9432-02aab372d578' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e9555ef-f497-4a52-9432-02aab372d578' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3e7d4ab-5e10-4116-b247-20c62d1b800c' class='xr-var-data-in' type='checkbox'><label for='data-f3e7d4ab-5e10-4116-b247-20c62d1b800c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lat_bnds</dd><dt><span>cell_methods :</span></dt><dd>y: point x: point</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -1389,7 +1406,7 @@ <h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-fro
 </svg>
         </td>
     </tr>
-</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(y, x, vertex)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720, 4), meta=np.ndarray&gt;</div><input id='attrs-d92045d6-29f0-4f16-b1eb-5a71283c433b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d92045d6-29f0-4f16-b1eb-5a71283c433b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a841726d-085a-4b97-bc6e-786b8cfe5bf8' class='xr-var-data-in' type='checkbox'><label for='data-a841726d-085a-4b97-bc6e-786b8cfe5bf8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude bounds</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>
+</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_bnds</span></div><div class='xr-var-dims'>(y, x, vertex)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720, 4), meta=np.ndarray&gt;</div><input id='attrs-daa80961-768b-4ace-bb7e-a7acb92b3b15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-daa80961-768b-4ace-bb7e-a7acb92b3b15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca187c1f-b39b-4ea3-aed0-15abba2898c0' class='xr-var-data-in' type='checkbox'><label for='data-ca187c1f-b39b-4ea3-aed0-15abba2898c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude bounds</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -1467,7 +1484,7 @@ <h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-fro
 </svg>
         </td>
     </tr>
-</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-6f6e2bc1-4ac3-4b75-9cb2-58d0bedf3a43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f6e2bc1-4ac3-4b75-9cb2-58d0bedf3a43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8a2ac6f-e65a-4807-ae06-e2c34e96572a' class='xr-var-data-in' type='checkbox'><label for='data-f8a2ac6f-e65a-4807-ae06-e2c34e96572a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>cell_methods :</span></dt><dd>y: point x: point</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>
+</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720), meta=np.ndarray&gt;</div><input id='attrs-80cd229d-cd46-4ada-b5f7-3067871781f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80cd229d-cd46-4ada-b5f7-3067871781f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85a5d635-b077-4e53-bb5f-f0fdf64c788f' class='xr-var-data-in' type='checkbox'><label for='data-85a5d635-b077-4e53-bb5f-f0fdf64c788f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>bounds :</span></dt><dd>lon_bnds</dd><dt><span>cell_methods :</span></dt><dd>y: point x: point</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -1522,7 +1539,7 @@ <h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-fro
 </svg>
         </td>
     </tr>
-</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(y, x, vertex)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720, 4), meta=np.ndarray&gt;</div><input id='attrs-ab4c1560-6906-4158-a0f4-386fdccfcd48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab4c1560-6906-4158-a0f4-386fdccfcd48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-187717d0-1b8b-44da-ac31-9e5315cd55e5' class='xr-var-data-in' type='checkbox'><label for='data-187717d0-1b8b-44da-ac31-9e5315cd55e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude bounds</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>
+</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_bnds</span></div><div class='xr-var-dims'>(y, x, vertex)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(576, 720, 4), meta=np.ndarray&gt;</div><input id='attrs-f2d9516a-6126-4c9a-95de-6f525279e07f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2d9516a-6126-4c9a-95de-6f525279e07f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c079225d-d594-42d9-b576-dd7dd12505fe' class='xr-var-data-in' type='checkbox'><label for='data-c079225d-d594-42d9-b576-dd7dd12505fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude bounds</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -1600,14 +1617,14 @@ <h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-fro
 </svg>
         </td>
     </tr>
-</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2015-01-16 12:00:00 ... 2100-12-...</div><input id='attrs-12c596a9-41d6-42a0-8736-ae3267dbb2d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12c596a9-41d6-42a0-8736-ae3267dbb2d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1b3ed86-257a-4806-8a14-f78998af757c' class='xr-var-data-in' type='checkbox'><label for='data-e1b3ed86-257a-4806-8a14-f78998af757c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>calendar_type :</span></dt><dd>noleap</dd><dt><span>description :</span></dt><dd>Temporal mean</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2015, 1, 16, 12, 0, 0, 0, has_year_zero=True),
+</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2015-01-16 12:00:00 ... 2100-12-...</div><input id='attrs-ca0d57b6-270c-41d0-b59c-5e1e3b1cc748' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca0d57b6-270c-41d0-b59c-5e1e3b1cc748' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f3fd6f4-c7f7-4d57-b6ca-22d344d9296b' class='xr-var-data-in' type='checkbox'><label for='data-8f3fd6f4-c7f7-4d57-b6ca-22d344d9296b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>calendar_type :</span></dt><dd>noleap</dd><dt><span>description :</span></dt><dd>Temporal mean</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeNoLeap(2015, 1, 16, 12, 0, 0, 0, has_year_zero=True),
        cftime.DatetimeNoLeap(2015, 2, 15, 0, 0, 0, 0, has_year_zero=True),
        cftime.DatetimeNoLeap(2015, 3, 16, 12, 0, 0, 0, has_year_zero=True),
        ...,
        cftime.DatetimeNoLeap(2100, 10, 16, 12, 0, 0, 0, has_year_zero=True),
        cftime.DatetimeNoLeap(2100, 11, 16, 0, 0, 0, 0, has_year_zero=True),
        cftime.DatetimeNoLeap(2100, 12, 16, 12, 0, 0, 0, has_year_zero=True)],
-      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1032, 2), meta=np.ndarray&gt;</div><input id='attrs-f6edcf9f-e262-4dac-9356-5df9c6fc2e19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6edcf9f-e262-4dac-9356-5df9c6fc2e19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97600bab-2b23-43e6-a946-81e4e7abdbbb' class='xr-var-data-in' type='checkbox'><label for='data-97600bab-2b23-43e6-a946-81e4e7abdbbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time axis boundaries</dd></dl></div><div class='xr-var-data'><table>
+      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bnds</span></div><div class='xr-var-dims'>(time, bnds)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1032, 2), meta=np.ndarray&gt;</div><input id='attrs-68dfd4bd-55f9-4d22-88c7-001bd3d069d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68dfd4bd-55f9-4d22-88c7-001bd3d069d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6ebdd6e-43f6-4899-9849-f9751ffccf71' class='xr-var-data-in' type='checkbox'><label for='data-d6ebdd6e-43f6-4899-9849-f9751ffccf71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time axis boundaries</dd></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -1662,8 +1679,8 @@ <h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-fro
 </svg>
         </td>
     </tr>
-</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-299.8 -299.2 ... 59.25 59.75</div><input id='attrs-2d7cbdb1-b7c4-486d-8d8b-2f5f7a7d87f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d7cbdb1-b7c4-486d-8d8b-2f5f7a7d87f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9dd0326-aeda-4472-b690-309403a715ba' class='xr-var-data-in' type='checkbox'><label for='data-c9dd0326-aeda-4472-b690-309403a715ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([-299.75, -299.25, -298.75, ...,   58.75,   59.25,   59.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-77.91 -77.72 ... 89.68 89.89</div><input id='attrs-fe968605-ff9e-4040-bb01-c65bfe1ca8e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe968605-ff9e-4040-bb01-c65bfe1ca8e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dd09bb7-4387-4724-8045-a7051577a943' class='xr-var-data-in' type='checkbox'><label for='data-6dd09bb7-4387-4724-8045-a7051577a943' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([-77.907938, -77.723813, -77.539688, ...,  89.472   ,  89.6832  ,
-        89.8944  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-df917e6b-7a61-4388-a357-4889acbff6ff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-df917e6b-7a61-4388-a357-4889acbff6ff' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>zos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(61, 576, 720), meta=np.ndarray&gt;</div><input id='attrs-86f0a945-0108-4d04-9945-7c931bf3d496' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86f0a945-0108-4d04-9945-7c931bf3d496' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b7f896a-40a6-4de3-a78d-fe83ecf3ae48' class='xr-var-data-in' type='checkbox'><label for='data-2b7f896a-40a6-4de3-a78d-fe83ecf3ae48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>long_name :</span></dt><dd>Sea Surface Height Above Geoid</dd><dt><span>original_name :</span></dt><dd>zos</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_geoid</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>
+</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-299.8 -299.2 ... 59.25 59.75</div><input id='attrs-f7373c68-2937-413d-a369-d8fad6294591' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7373c68-2937-413d-a369-d8fad6294591' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46c499af-89f2-4cea-b2a8-a953b5b2793a' class='xr-var-data-in' type='checkbox'><label for='data-46c499af-89f2-4cea-b2a8-a953b5b2793a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([-299.75, -299.25, -298.75, ...,   58.75,   59.25,   59.75])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-77.91 -77.72 ... 89.68 89.89</div><input id='attrs-29106fb3-d100-45b2-8a6e-e1c2a6e7420f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29106fb3-d100-45b2-8a6e-e1c2a6e7420f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-faf03d8b-8977-4889-9377-83d1218d9fa7' class='xr-var-data-in' type='checkbox'><label for='data-faf03d8b-8977-4889-9377-83d1218d9fa7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><pre>array([-77.907938, -77.723813, -77.539688, ...,  89.472   ,  89.6832  ,
+        89.8944  ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5c30485e-d69c-436a-9ced-3a808e2f6140' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5c30485e-d69c-436a-9ced-3a808e2f6140' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>zos</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(61, 576, 720), meta=np.ndarray&gt;</div><input id='attrs-3f029e04-77dc-4de9-b097-1dfc77955111' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f029e04-77dc-4de9-b097-1dfc77955111' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02954e23-dad3-4481-9fcb-f25e49033d76' class='xr-var-data-in' type='checkbox'><label for='data-02954e23-dad3-4481-9fcb-f25e49033d76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cell_measures :</span></dt><dd>area: areacello</dd><dt><span>cell_methods :</span></dt><dd>area: mean where sea time: mean</dd><dt><span>long_name :</span></dt><dd>Sea Surface Height Above Geoid</dd><dt><span>original_name :</span></dt><dd>zos</dd><dt><span>standard_name :</span></dt><dd>sea_surface_height_above_geoid</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -1773,7 +1790,7 @@ <h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-fro
 </svg>
         </td>
     </tr>
-</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-3008b94a-2594-4a21-82df-e96ef06ac434' class='xr-section-summary-in' type='checkbox'  ><label for='section-3008b94a-2594-4a21-82df-e96ef06ac434' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>bnds</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-42a1a1c4-d000-4a48-b144-5f62ddbf9212' class='xr-index-data-in' type='checkbox'/><label for='index-42a1a1c4-d000-4a48-b144-5f62ddbf9212' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1.0, 2.0], dtype=&#x27;float64&#x27;, name=&#x27;bnds&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-99465123-58a5-46fd-9cdc-35d202caa595' class='xr-index-data-in' type='checkbox'/><label for='index-99465123-58a5-46fd-9cdc-35d202caa595' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([2015-01-16 12:00:00, 2015-02-15 00:00:00, 2015-03-16 12:00:00,
+</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe758c31-ea22-4704-9d1d-6e10e2076925' class='xr-section-summary-in' type='checkbox'  ><label for='section-fe758c31-ea22-4704-9d1d-6e10e2076925' class='xr-section-summary' >Indexes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>bnds</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-708754c0-2f12-4224-b07d-b6575b9979bb' class='xr-index-data-in' type='checkbox'/><label for='index-708754c0-2f12-4224-b07d-b6575b9979bb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1.0, 2.0], dtype=&#x27;float64&#x27;, name=&#x27;bnds&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-792d5d94-faf7-43c4-85f6-3b990907f1d5' class='xr-index-data-in' type='checkbox'/><label for='index-792d5d94-faf7-43c4-85f6-3b990907f1d5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(CFTimeIndex([2015-01-16 12:00:00, 2015-02-15 00:00:00, 2015-03-16 12:00:00,
              2015-04-16 00:00:00, 2015-05-16 12:00:00, 2015-06-16 00:00:00,
              2015-07-16 12:00:00, 2015-08-16 12:00:00, 2015-09-16 00:00:00,
              2015-10-16 12:00:00,
@@ -1782,12 +1799,12 @@ <h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-fro
              2100-06-16 00:00:00, 2100-07-16 12:00:00, 2100-08-16 12:00:00,
              2100-09-16 00:00:00, 2100-10-16 12:00:00, 2100-11-16 00:00:00,
              2100-12-16 12:00:00],
-            dtype=&#x27;object&#x27;, length=1032, calendar=&#x27;noleap&#x27;, freq=&#x27;None&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-edce673e-480b-4364-a09c-5d005ad137d7' class='xr-index-data-in' type='checkbox'/><label for='index-edce673e-480b-4364-a09c-5d005ad137d7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-299.75, -299.25, -298.75, -298.25, -297.75, -297.25, -296.75, -296.25,
+            dtype=&#x27;object&#x27;, length=1032, calendar=&#x27;noleap&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d09589cb-4c1e-469f-a769-c87f54b9ec5e' class='xr-index-data-in' type='checkbox'/><label for='index-d09589cb-4c1e-469f-a769-c87f54b9ec5e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-299.75, -299.25, -298.75, -298.25, -297.75, -297.25, -296.75, -296.25,
        -295.75, -295.25,
        ...
          55.25,   55.75,   56.25,   56.75,   57.25,   57.75,   58.25,   58.75,
          59.25,   59.75],
-      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-08e3251f-6fa7-4045-b5c4-1588b618dbce' class='xr-index-data-in' type='checkbox'/><label for='index-08e3251f-6fa7-4045-b5c4-1588b618dbce' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-77.90793753487047,  -77.7238126046114, -77.53968767435234,
+      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=720))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-75efe4b6-b9d1-41c4-bc55-d0bd8632c25c' class='xr-index-data-in' type='checkbox'/><label for='index-75efe4b6-b9d1-41c4-bc55-d0bd8632c25c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-77.90793753487047,  -77.7238126046114, -77.53968767435234,
        -77.35556274409328,  -77.1714378138342, -76.98731288357514,
        -76.80318795331607, -76.61906302305701, -76.43493809279795,
        -76.25081316253888,
@@ -1796,7 +1813,7 @@ <h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-fro
         88.62719962070481,  88.83839967905793,  89.04959973741103,
         89.26079979576413,  89.47199985411724,  89.68319991247033,
         89.89439997082347],
-      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=576))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ada6d67-1a35-4ba1-b4ef-2fbfbc40bbbb' class='xr-section-summary-in' type='checkbox'  ><label for='section-0ada6d67-1a35-4ba1-b4ef-2fbfbc40bbbb' class='xr-section-summary' >Attributes: <span>(49)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.0 UGRID-1.0</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>60225.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60225.0</dd><dt><span>comment :</span></dt><dd>&lt;null ref&gt;</dd><dt><span>contact :</span></dt><dd>gfdl.climate.model.info@noaa.gov</dd><dt><span>creation_date :</span></dt><dd>2019-06-19T11:11:02Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.27</dd><dt><span>experiment :</span></dt><dd>update of RCP8.5 based on SSP5</dd><dt><span>experiment_id :</span></dt><dd>ssp585</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-ESM4.ssp585.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>ocean data on native grid tripolar - nominal 0.5 deg latitude/longitude</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_FlJGh4Wo6W,realiz_id_kt2pvOSbWt,run_id_1S546GMKbs]</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA</dd><dt><span>institution_id :</span></dt><dd>NOAA-GFDL</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by NOAA-GFDL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>50 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>GFDL-ESM4</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-1-1</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>references :</span></dt><dd>see further_info_url attribute</dd><dt><span>source :</span></dt><dd>GFDL-ESM4 (2018):
+      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=576))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-417717e9-6059-4255-94da-7d13703ed6aa' class='xr-section-summary-in' type='checkbox'  ><label for='section-417717e9-6059-4255-94da-7d13703ed6aa' class='xr-section-summary' >Attributes: <span>(49)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7 CMIP-6.0 UGRID-1.0</dd><dt><span>activity_id :</span></dt><dd>ScenarioMIP</dd><dt><span>branch_method :</span></dt><dd>standard</dd><dt><span>branch_time_in_child :</span></dt><dd>60225.0</dd><dt><span>branch_time_in_parent :</span></dt><dd>60225.0</dd><dt><span>comment :</span></dt><dd>&lt;null ref&gt;</dd><dt><span>contact :</span></dt><dd>gfdl.climate.model.info@noaa.gov</dd><dt><span>creation_date :</span></dt><dd>2019-06-19T11:11:02Z</dd><dt><span>data_specs_version :</span></dt><dd>01.00.27</dd><dt><span>experiment :</span></dt><dd>update of RCP8.5 based on SSP5</dd><dt><span>experiment_id :</span></dt><dd>ssp585</dd><dt><span>external_variables :</span></dt><dd>areacello</dd><dt><span>forcing_index :</span></dt><dd>1</dd><dt><span>frequency :</span></dt><dd>mon</dd><dt><span>further_info_url :</span></dt><dd>https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-ESM4.ssp585.none.r1i1p1f1</dd><dt><span>grid :</span></dt><dd>ocean data on native grid tripolar - nominal 0.5 deg latitude/longitude</dd><dt><span>grid_label :</span></dt><dd>gn</dd><dt><span>history :</span></dt><dd>File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_FlJGh4Wo6W,realiz_id_kt2pvOSbWt,run_id_1S546GMKbs]</dd><dt><span>initialization_index :</span></dt><dd>1</dd><dt><span>institution :</span></dt><dd>National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA</dd><dt><span>institution_id :</span></dt><dd>NOAA-GFDL</dd><dt><span>license :</span></dt><dd>CMIP6 model data produced by NOAA-GFDL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.</dd><dt><span>mip_era :</span></dt><dd>CMIP6</dd><dt><span>nominal_resolution :</span></dt><dd>50 km</dd><dt><span>parent_activity_id :</span></dt><dd>CMIP</dd><dt><span>parent_experiment_id :</span></dt><dd>historical</dd><dt><span>parent_mip_era :</span></dt><dd>CMIP6</dd><dt><span>parent_source_id :</span></dt><dd>GFDL-ESM4</dd><dt><span>parent_time_units :</span></dt><dd>days since 1850-1-1</dd><dt><span>parent_variant_label :</span></dt><dd>r1i1p1f1</dd><dt><span>physics_index :</span></dt><dd>1</dd><dt><span>product :</span></dt><dd>model-output</dd><dt><span>realization_index :</span></dt><dd>1</dd><dt><span>realm :</span></dt><dd>ocean</dd><dt><span>references :</span></dt><dd>see further_info_url attribute</dd><dt><span>source :</span></dt><dd>GFDL-ESM4 (2018):
 atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa)
 ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m)
 seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories)
@@ -1816,7 +1833,7 @@ <h2>Reading from the remote Zarr storage<a class="headerlink" href="#reading-fro
 hdl:21.14100/a39ee598-7962-4e3a-8943-ac5a8b091bcd</dd><dt><span>version_id :</span></dt><dd>v20180701</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <section id="selecting-time-slices">
-<h3>Selecting time slices<a class="headerlink" href="#selecting-time-slices" title="Permalink to this headline">#</a></h3>
+<h3>Selecting time slices<a class="headerlink" href="#selecting-time-slices" title="Permalink to this heading">#</a></h3>
 <p>Let’s say we want to calculate sea level change between
 2015 and 2100. We can access just the specific time points
 needed using <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.Dataset.sel.html"><code class="docutils literal notranslate"><span class="pre">xr.Dataset.sel</span></code></a>.</p>
@@ -1857,10 +1874,10 @@ <h3>Selecting time slices<a class="headerlink" href="#selecting-time-slices" tit
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7fa7b01bb890&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.image.AxesImage at 0x7fdcb862b210&gt;
 </pre></div>
 </div>
-<img alt="../_images/d5daad6f9031d5bc813f2ca19c7d9534a1f3ba86fcf402310238afd516d5f791.png" src="../_images/d5daad6f9031d5bc813f2ca19c7d9534a1f3ba86fcf402310238afd516d5f791.png" />
+<img alt="../_images/3af3141b95784b56086d44b3816f14ab7009f0ff2eb38def58bbffc6b47bbb65.png" src="../_images/3af3141b95784b56086d44b3816f14ab7009f0ff2eb38def58bbffc6b47bbb65.png" />
 </div>
 </div>
 <p>Notice the blue parts between -40 and -60 South where sea level has dropped?
@@ -1897,11 +1914,10 @@ <h3>Selecting time slices<a class="headerlink" href="#selecting-time-slices" tit
 
               
               
-                <footer class="bd-footer-article">
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@@ -1933,6 +1946,7 @@ <h3>Selecting time slices<a class="headerlink" href="#selecting-time-slices" tit
               
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+
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@@ -1968,6 +1982,7 @@ <h3>Selecting time slices<a class="headerlink" href="#selecting-time-slices" tit
   
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diff --git a/intermediate/data_cleaning/05.1_intro.html b/intermediate/data_cleaning/05.1_intro.html
index 294e3f0c..d0845499 100644
--- a/intermediate/data_cleaning/05.1_intro.html
+++ b/intermediate/data_cleaning/05.1_intro.html
@@ -3,7 +3,7 @@
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-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
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+
   
 
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+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
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@@ -491,10 +508,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="data-tidying">
-<h1>Data Tidying<a class="headerlink" href="#data-tidying" title="Permalink to this headline">#</a></h1>
+<h1>Data Tidying<a class="headerlink" href="#data-tidying" title="Permalink to this heading">#</a></h1>
 <p>Array data that are represented by Xarray objects are often multivariate, multi-dimensional, and very complex. Part of the beauty of Xarray is that it is adaptable and scalable to represent a large number of data structures. However, this can also introduce difficulty (especially for learning users) in arriving at a workable structure that will best suit one’s analytical needs.</p>
 <div class="admonition seealso">
 <p class="admonition-title">See also</p>
@@ -504,11 +521,11 @@ <h1>Data Tidying<a class="headerlink" href="#data-tidying" title="Permalink to t
 <p>This page discusses common data ‘tidying’ steps and presents principles to keep in mind when organizing data in Xarray. We also point out helpful extensions to simplify and automate this process for specific dataset types like satellite imagery.</p>
 <p>A great first step is familiarizing yourself with the <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/terminology.html">terminology</a> used in the Xarray ecosystem.</p>
 <section id="a-brief-primer-on-tidy-data">
-<h2>A brief primer on tidy data<a class="headerlink" href="#a-brief-primer-on-tidy-data" title="Permalink to this headline">#</a></h2>
+<h2>A brief primer on tidy data<a class="headerlink" href="#a-brief-primer-on-tidy-data" title="Permalink to this heading">#</a></h2>
 <p>Tidy data was developed by Hadley Wickham for tabular datasets in the R programming language. Many resources comprehensively explain this concept and the ecosystem of tools built upon it. Below is a very brief explanation:</p>
 <p><strong>Data tidying</strong> is the process of structuring datasets to facilitate analysis. Wickham writes: “…tidy datasets are all alike, but every messy dataset is messy in its own way. Tidy datasets provide a standardized way to link the structure of a dataset (its physical layout) with its semantics (its meaning)” (Wickham, 2014).</p>
 <section id="tidy-data-principles-for-tabular-datasets">
-<h3>Tidy data principles for tabular datasets<a class="headerlink" href="#tidy-data-principles-for-tabular-datasets" title="Permalink to this headline">#</a></h3>
+<h3>Tidy data principles for tabular datasets<a class="headerlink" href="#tidy-data-principles-for-tabular-datasets" title="Permalink to this heading">#</a></h3>
 <p>The concept of <a class="reference external" href="https://vita.had.co.nz/papers/tidy-data.pdf">tidy data</a> was developed by Hadley Wickham in the R programming language, and is a set of principles to guide facilitating tabular data for analysis.</p>
 <p>{attribution=”Wickham, 2014”}</p>
 <blockquote>
@@ -523,14 +540,14 @@ <h3>Tidy data principles for tabular datasets<a class="headerlink" href="#tidy-d
 </section>
 </section>
 <section id="imagining-a-tidy-data-framework-for-gridded-datasets">
-<h2>Imagining a ‘tidy data’ framework for gridded datasets<a class="headerlink" href="#imagining-a-tidy-data-framework-for-gridded-datasets" title="Permalink to this headline">#</a></h2>
+<h2>Imagining a ‘tidy data’ framework for gridded datasets<a class="headerlink" href="#imagining-a-tidy-data-framework-for-gridded-datasets" title="Permalink to this heading">#</a></h2>
 <section id="common-use-case-manipulating-individual-observations-to-an-x-y-time-datacube">
-<h3>Common use-case: Manipulating individual observations to an x-y-time datacube<a class="headerlink" href="#common-use-case-manipulating-individual-observations-to-an-x-y-time-datacube" title="Permalink to this headline">#</a></h3>
+<h3>Common use-case: Manipulating individual observations to an x-y-time datacube<a class="headerlink" href="#common-use-case-manipulating-individual-observations-to-an-x-y-time-datacube" title="Permalink to this heading">#</a></h3>
 <p>Data downloaded or accessed from DAACs and other providers is often (for good reason) separated into temporal observations or spatial subsets. This minimizes the services that must be provided for different datasets and allows the user to access just the material that they need. However, most workflows will involve some sort of spatial and/or temporal investigation of an observable, which will usually require the analyst to arrange individual files into spatial mosaics and/or temporal cubes. In addition to being a source of duplicated effort and work, these steps also introduce decision-points that can be stumbling blocks for newer users. We hope a tidy framework for xarray will streamline the process of preparing data for analysis by providing specific expectations of what ‘tidied’ datasets look like as well as common patterns and tools to use to arrive at a tidy state.</p>
 </section>
 </section>
 <section id="tidy-data-principles-for-xarray-data-structures">
-<h2>Tidy data principles for Xarray data structures<a class="headerlink" href="#tidy-data-principles-for-xarray-data-structures" title="Permalink to this headline">#</a></h2>
+<h2>Tidy data principles for Xarray data structures<a class="headerlink" href="#tidy-data-principles-for-xarray-data-structures" title="Permalink to this heading">#</a></h2>
 <p>These are guidelines to keep in mind while you are organizing your data. For detailed definitions of the terms mentioned below (and more), check out Xarray’s <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/terminology.html">Terminology page</a>.</p>
 <p><strong>1. Dimensions</strong></p>
 <ul class="simple">
@@ -563,7 +580,7 @@ <h2>Tidy data principles for Xarray data structures<a class="headerlink" href="#
 </ul>
 </section>
 <section id="other-guidelines-and-rules-of-thumb">
-<h2>Other guidelines and rules of thumb<a class="headerlink" href="#other-guidelines-and-rules-of-thumb" title="Permalink to this headline">#</a></h2>
+<h2>Other guidelines and rules of thumb<a class="headerlink" href="#other-guidelines-and-rules-of-thumb" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>Avoid storing important data in filenames</p></li>
 <li><p>Non-descriptive variable names can create + perpetuate confusion</p></li>
@@ -572,7 +589,7 @@ <h2>Other guidelines and rules of thumb<a class="headerlink" href="#other-guidel
 </ul>
 </section>
 <section id="contributing">
-<h2>Contributing<a class="headerlink" href="#contributing" title="Permalink to this headline">#</a></h2>
+<h2>Contributing<a class="headerlink" href="#contributing" title="Permalink to this heading">#</a></h2>
 <p>We would love your help and engagement on this project! If you have a dataset that you’ve worked with that felt particularly messy, or one with steps you find yourself thinking back to as you work with new datasets, consider submitting it as an example! If you have input on tidy principles, please feel free to raise an issue.</p>
 </section>
 <div class="toctree-wrapper compound">
@@ -604,11 +621,10 @@ <h2>Contributing<a class="headerlink" href="#contributing" title="Permalink to t
 
               
               
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+++ b/intermediate/data_cleaning/05.2_examples.html
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@@ -483,22 +500,22 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="examples">
-<h1>Examples<a class="headerlink" href="#examples" title="Permalink to this headline">#</a></h1>
+<h1>Examples<a class="headerlink" href="#examples" title="Permalink to this heading">#</a></h1>
 <p>This page contains examples of ‘tidying’ datasets. If you have an example you’d like to submit, or an example of an anti-pattern, please raise an issue !</p>
 <section id="aquarius">
-<h2>1. Aquarius<a class="headerlink" href="#aquarius" title="Permalink to this headline">#</a></h2>
+<h2>1. Aquarius<a class="headerlink" href="#aquarius" title="Permalink to this heading">#</a></h2>
 <p>This is an example of tidying a dataset comprised of locally downloaded files. Aquarius is a sea surface salinity dataset produced by NASA and accessed as network Common Data Form (NetCDF) files.
 You can find this example <a class="reference external" href="https://gist.github.com/dcherian/66269bc2b36c2bc427897590d08472d7">here</a>. This example focuses on data access steps and organizing data into a workable data cube.</p>
 </section>
 <section id="ase-ice-velocity">
-<h2>2. ASE Ice Velocity<a class="headerlink" href="#ase-ice-velocity" title="Permalink to this headline">#</a></h2>
+<h2>2. ASE Ice Velocity<a class="headerlink" href="#ase-ice-velocity" title="Permalink to this heading">#</a></h2>
 <p>Already integrated into the Xarray tutorial, this examples uses an ice velocity dataset derived from synthetic aperture radar imagery. You can find it <a class="reference internal" href="05.3_ice_velocity.html"><span class="doc std std-doc">here</span></a>. This example focuses on data access steps and organizing data into a workable data cube.</p>
 </section>
 <section id="harmonized-landsat-sentinel">
-<h2>3. Harmonized Landsat-Sentinel<a class="headerlink" href="#harmonized-landsat-sentinel" title="Permalink to this headline">#</a></h2>
+<h2>3. Harmonized Landsat-Sentinel<a class="headerlink" href="#harmonized-landsat-sentinel" title="Permalink to this heading">#</a></h2>
 <p>This <a class="reference external" href="https://nbviewer.org/gist/scottyhq/efd583d66999ce8f6e8bcefa81545b8d">example</a> features cloud-optimized data that does not need to be downloaded locally. Here, package such as <a class="reference external" href="https://github.com/opendatacube/odc-stac"><code class="docutils literal notranslate"><span class="pre">odc-stac</span></code></a> are used to accomplish much of the initial tidying (assembling an x,y,time cube). However, this example shows that there is frequently additional formatting required to make a dataset analysis ready.</p>
 </section>
 </section>
@@ -528,11 +545,10 @@ <h2>3. Harmonized Landsat-Sentinel<a class="headerlink" href="#harmonized-landsa
 
               
               
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diff --git a/intermediate/data_cleaning/05.3_ice_velocity.html b/intermediate/data_cleaning/05.3_ice_velocity.html
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@@ -462,20 +477,22 @@
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@@ -502,10 +519,10 @@ <h1>Re-organize InSAR ice velocity data</h1>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="re-organize-insar-ice-velocity-data">
-<h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-insar-ice-velocity-data" title="Permalink to this headline">#</a></h1>
+<h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-insar-ice-velocity-data" title="Permalink to this heading">#</a></h1>
 <p>This is an example of cleaning data accessed in netcdf format and preparing it for analysis.</p>
 <p>The dataset we will use contains InSAR-derived ice velocity for 10 years over the Amundsen Sea Embayment in Antarctica. The data is downloaded from: <a class="reference external" href="https://nsidc.org/data/NSIDC-0545/versions/1">https://nsidc.org/data/NSIDC-0545/versions/1</a> but this example uses only a subset of the full dataset.</p>
 <p>Downloaded data is <code class="docutils literal notranslate"><span class="pre">.hdr</span></code> and <code class="docutils literal notranslate"><span class="pre">.dat</span></code> files for each year, and a <code class="docutils literal notranslate"><span class="pre">.nc</span></code> for all of the years together.</p>
@@ -925,7 +942,7 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
     Data_citation:        NSIDC Citation Rignot, E., J. Mouginot, and B. Sche...
     More_information:     http://nsidc.org/data/nsidc-0545.html
     Notes_3:                       Data were processed at the Department of E...
-    Description:          Created a spatial subset of original dataset. Selec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f7133b7b-b30c-4223-8f65-ac77919dedec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f7133b7b-b30c-4223-8f65-ac77919dedec' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>ny</span>: 800</li><li><span>nx</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-adbdece3-f066-4072-aba5-be97104e0ce2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-adbdece3-f066-4072-aba5-be97104e0ce2' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ae3a6f14-3b17-4dda-8054-2abc5b2bbd97' class='xr-section-summary-in' type='checkbox'  ><label for='section-ae3a6f14-3b17-4dda-8054-2abc5b2bbd97' class='xr-section-summary' >Data variables: <span>(32)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-95e38dc4-8994-434b-b1eb-fc7bb364baf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95e38dc4-8994-434b-b1eb-fc7bb364baf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fbc5faf-d1a3-4f7e-87ac-991f69962b5e' class='xr-var-data-in' type='checkbox'><label for='data-1fbc5faf-d1a3-4f7e-87ac-991f69962b5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0839baf-d7f5-40b1-8fa1-d568b69a4f8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0839baf-d7f5-40b1-8fa1-d568b69a4f8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a71f7949-041c-4e3d-b495-59dda4fd352e' class='xr-var-data-in' type='checkbox'><label for='data-a71f7949-041c-4e3d-b495-59dda4fd352e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9d25465-f21d-4d95-b8db-199689f01e44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9d25465-f21d-4d95-b8db-199689f01e44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1207a08-d9e7-4c3d-8a36-7bdbf4dbb443' class='xr-var-data-in' type='checkbox'><label for='data-b1207a08-d9e7-4c3d-8a36-7bdbf4dbb443' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2eb1817b-c6e6-4be6-9d94-54cc731cf272' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2eb1817b-c6e6-4be6-9d94-54cc731cf272' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b38f9489-d64e-486d-8505-bbacfd431b2c' class='xr-var-data-in' type='checkbox'><label for='data-b38f9489-d64e-486d-8505-bbacfd431b2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90243117-fa55-453a-9417-54cce20e2475' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90243117-fa55-453a-9417-54cce20e2475' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c50f981-4c02-4b09-94eb-5d3e51d72a30' class='xr-var-data-in' type='checkbox'><label for='data-8c50f981-4c02-4b09-94eb-5d3e51d72a30' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b96cb585-89ae-4a9b-a891-69e4d102f6b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b96cb585-89ae-4a9b-a891-69e4d102f6b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ab5eeb5-88a4-4ac0-be80-9269cfa03fa1' class='xr-var-data-in' type='checkbox'><label for='data-8ab5eeb5-88a4-4ac0-be80-9269cfa03fa1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ec7069c4-6f53-4c2e-baca-5ad6ede8c0ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec7069c4-6f53-4c2e-baca-5ad6ede8c0ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d84db1f-8a22-4faf-8d3b-eaa5361700cf' class='xr-var-data-in' type='checkbox'><label for='data-6d84db1f-8a22-4faf-8d3b-eaa5361700cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3ba59848-dc08-416e-8f68-c4251eee498c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ba59848-dc08-416e-8f68-c4251eee498c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2aba1b74-7a7d-4a30-93e5-5a9a2b27862b' class='xr-var-data-in' type='checkbox'><label for='data-2aba1b74-7a7d-4a30-93e5-5a9a2b27862b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b528d7e1-4e90-46d0-862b-0709eb013d60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b528d7e1-4e90-46d0-862b-0709eb013d60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acbdffb6-aa67-4b55-adda-e9170cbb585d' class='xr-var-data-in' type='checkbox'><label for='data-acbdffb6-aa67-4b55-adda-e9170cbb585d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-86b0312c-7831-4023-8cc2-00f7bd5a30bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86b0312c-7831-4023-8cc2-00f7bd5a30bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06ced18a-ddd4-49de-853e-04b031e1315f' class='xr-var-data-in' type='checkbox'><label for='data-06ced18a-ddd4-49de-853e-04b031e1315f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a1271ef2-3fb3-48c3-8401-7d581d9ad684' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1271ef2-3fb3-48c3-8401-7d581d9ad684' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d43fd26b-308f-4786-86eb-f7c397e54bfe' class='xr-var-data-in' type='checkbox'><label for='data-d43fd26b-308f-4786-86eb-f7c397e54bfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e05ec00-65de-409b-b1d5-b38b1f249b03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e05ec00-65de-409b-b1d5-b38b1f249b03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1360c5d8-23fd-48bb-bf5a-eda6ddd78aa1' class='xr-var-data-in' type='checkbox'><label for='data-1360c5d8-23fd-48bb-bf5a-eda6ddd78aa1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1be807b1-55d2-462a-a2f5-56c07c9164ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1be807b1-55d2-462a-a2f5-56c07c9164ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8929ba69-146e-44bc-bf7e-ed2846651e79' class='xr-var-data-in' type='checkbox'><label for='data-8929ba69-146e-44bc-bf7e-ed2846651e79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ee682f8-6fa6-4d03-88e5-836f6d9171bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ee682f8-6fa6-4d03-88e5-836f6d9171bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-853a7d6c-5451-4d15-850d-80ebe2d22755' class='xr-var-data-in' type='checkbox'><label for='data-853a7d6c-5451-4d15-850d-80ebe2d22755' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-075233d7-70e6-4560-9352-59ec45652618' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-075233d7-70e6-4560-9352-59ec45652618' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7461676d-a26f-4712-9ad7-6693cf860329' class='xr-var-data-in' type='checkbox'><label for='data-7461676d-a26f-4712-9ad7-6693cf860329' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-72654906-9da5-42fc-9c65-3520222c4a29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72654906-9da5-42fc-9c65-3520222c4a29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-134e44a2-4953-444e-bbcc-79400f0bda9b' class='xr-var-data-in' type='checkbox'><label for='data-134e44a2-4953-444e-bbcc-79400f0bda9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a638e766-c70e-4343-9bb6-55afee47f151' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a638e766-c70e-4343-9bb6-55afee47f151' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59b8611b-77ed-4925-8261-18757a5fbc47' class='xr-var-data-in' type='checkbox'><label for='data-59b8611b-77ed-4925-8261-18757a5fbc47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2ef0688-df43-4ff7-86d2-030864112a79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2ef0688-df43-4ff7-86d2-030864112a79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8230729-f432-4f43-8bba-1c19cd7b420c' class='xr-var-data-in' type='checkbox'><label for='data-c8230729-f432-4f43-8bba-1c19cd7b420c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-99d211a9-6d38-4eb6-8ec5-22add9c93dc9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99d211a9-6d38-4eb6-8ec5-22add9c93dc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1c64e89-0083-482b-9636-669e3345d8b3' class='xr-var-data-in' type='checkbox'><label for='data-f1c64e89-0083-482b-9636-669e3345d8b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cfacfc72-d464-41b5-a1cf-75f97cce651d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfacfc72-d464-41b5-a1cf-75f97cce651d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0568edd-8ddd-4c4e-86ef-fc2beee54c80' class='xr-var-data-in' type='checkbox'><label for='data-b0568edd-8ddd-4c4e-86ef-fc2beee54c80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-88281fda-3ffe-4645-ab06-181335ee91ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88281fda-3ffe-4645-ab06-181335ee91ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c7e99bb-6b47-42e2-bdb0-5b026a2f44c1' class='xr-var-data-in' type='checkbox'><label for='data-1c7e99bb-6b47-42e2-bdb0-5b026a2f44c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-270675d9-17ee-49cd-8551-ddde7d78b5c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-270675d9-17ee-49cd-8551-ddde7d78b5c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6eca7b05-33fb-4cde-8af9-67a57acafd1f' class='xr-var-data-in' type='checkbox'><label for='data-6eca7b05-33fb-4cde-8af9-67a57acafd1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f9fe29e-8c5f-469b-9b36-58c45de45aa8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f9fe29e-8c5f-469b-9b36-58c45de45aa8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3400ad3-888e-47d8-96ba-8b2e814ccfe3' class='xr-var-data-in' type='checkbox'><label for='data-f3400ad3-888e-47d8-96ba-8b2e814ccfe3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f898dce4-4f4b-4aa1-b952-7e46bf2409d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f898dce4-4f4b-4aa1-b952-7e46bf2409d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0b2f152-20bf-40a9-b9b7-0591b8ccab54' class='xr-var-data-in' type='checkbox'><label for='data-d0b2f152-20bf-40a9-b9b7-0591b8ccab54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-878ce50a-5ca3-413b-a658-6ff942bc326c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-878ce50a-5ca3-413b-a658-6ff942bc326c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-305731d7-bc12-4d0a-8612-bc09cdae2b0f' class='xr-var-data-in' type='checkbox'><label for='data-305731d7-bc12-4d0a-8612-bc09cdae2b0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22a64b02-f32c-4b8a-8f54-8747b081884e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22a64b02-f32c-4b8a-8f54-8747b081884e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-367f53ad-4e00-45e9-aa2e-511225bea68c' class='xr-var-data-in' type='checkbox'><label for='data-367f53ad-4e00-45e9-aa2e-511225bea68c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d4ed5bb9-f96c-45e5-a723-78cc8afbca23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4ed5bb9-f96c-45e5-a723-78cc8afbca23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ece0c93c-c6cf-46ee-9a1b-a31c769ffe24' class='xr-var-data-in' type='checkbox'><label for='data-ece0c93c-c6cf-46ee-9a1b-a31c769ffe24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-700e2416-252e-4704-9911-17dbfc7e7303' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-700e2416-252e-4704-9911-17dbfc7e7303' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d076ba5f-0b38-4604-9602-25c173422f21' class='xr-var-data-in' type='checkbox'><label for='data-d076ba5f-0b38-4604-9602-25c173422f21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f179b24b-7288-4dd2-aa9f-a7209e6e2c86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f179b24b-7288-4dd2-aa9f-a7209e6e2c86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1c979ed-84c6-4f7b-bbe8-204ed7564801' class='xr-var-data-in' type='checkbox'><label for='data-d1c979ed-84c6-4f7b-bbe8-204ed7564801' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a7ef741-47e4-4830-afba-ac42ea7787ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a7ef741-47e4-4830-afba-ac42ea7787ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9075b55-d7d8-4fa7-9bd0-4dd55f0a2a0c' class='xr-var-data-in' type='checkbox'><label for='data-b9075b55-d7d8-4fa7-9bd0-4dd55f0a2a0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xaxis</span></div><div class='xr-var-dims'>(nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4175d981-bd5d-462b-8a52-c152acbb0dc0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4175d981-bd5d-462b-8a52-c152acbb0dc0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fcb0739-ce49-42d1-b71f-7402b103ce2c' class='xr-var-data-in' type='checkbox'><label for='data-8fcb0739-ce49-42d1-b71f-7402b103ce2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[500 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yaxis</span></div><div class='xr-var-dims'>(ny)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a986c68-19dc-4014-9b11-b6ad0c3d8293' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a986c68-19dc-4014-9b11-b6ad0c3d8293' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1b890b9-a593-4988-b566-380be96c8655' class='xr-var-data-in' type='checkbox'><label for='data-e1b890b9-a593-4988-b566-380be96c8655' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-544fe0a9-b6bc-466e-bc01-aa9b03dcb5ae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-544fe0a9-b6bc-466e-bc01-aa9b03dcb5ae' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-3cd41744-09f9-48c1-813c-f8a38d29cd2d' class='xr-section-summary-in' type='checkbox'  ><label for='section-3cd41744-09f9-48c1-813c-f8a38d29cd2d' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
+    Description:          Created a spatial subset of original dataset. Selec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d3d7530f-30df-4df3-8056-e799a76a5b8c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d3d7530f-30df-4df3-8056-e799a76a5b8c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>ny</span>: 800</li><li><span>nx</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d2f8bfe3-2cc6-4dd2-8677-02130e30d657' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d2f8bfe3-2cc6-4dd2-8677-02130e30d657' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d3cddd9d-6f0e-496b-97fb-14698a74964d' class='xr-section-summary-in' type='checkbox'  ><label for='section-d3cddd9d-6f0e-496b-97fb-14698a74964d' class='xr-section-summary' >Data variables: <span>(32)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-27cb9961-a1d8-4d1f-97a9-090932c8cc8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27cb9961-a1d8-4d1f-97a9-090932c8cc8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b12b79db-9974-4d8e-92de-827c543e4b2c' class='xr-var-data-in' type='checkbox'><label for='data-b12b79db-9974-4d8e-92de-827c543e4b2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9a8fb9bb-c7ef-44f5-86ce-5031e5deb3c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a8fb9bb-c7ef-44f5-86ce-5031e5deb3c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58ad6774-9832-4bb8-aef2-210b3cbf2968' class='xr-var-data-in' type='checkbox'><label for='data-58ad6774-9832-4bb8-aef2-210b3cbf2968' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d770a3d4-9fd9-4422-aabb-25612682940a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d770a3d4-9fd9-4422-aabb-25612682940a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4427f4f9-185b-4859-9074-d66e13a610fd' class='xr-var-data-in' type='checkbox'><label for='data-4427f4f9-185b-4859-9074-d66e13a610fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e6773dff-8461-4700-9e96-7f7b92dd7d11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6773dff-8461-4700-9e96-7f7b92dd7d11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-097591cc-d112-46b8-b2c4-3f4155912aec' class='xr-var-data-in' type='checkbox'><label for='data-097591cc-d112-46b8-b2c4-3f4155912aec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a501daa9-99c2-4d10-8de9-4f70cc6bf29a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a501daa9-99c2-4d10-8de9-4f70cc6bf29a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-feac5cb8-ac32-4ca4-8548-bd046656f7c0' class='xr-var-data-in' type='checkbox'><label for='data-feac5cb8-ac32-4ca4-8548-bd046656f7c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a5fd0c6-767b-49de-973c-40729261e705' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a5fd0c6-767b-49de-973c-40729261e705' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-861e9573-169e-4508-97e2-86d3371ebc3e' class='xr-var-data-in' type='checkbox'><label for='data-861e9573-169e-4508-97e2-86d3371ebc3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a3dd3dfe-1cfc-43fc-b1ed-3b3443463cb4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3dd3dfe-1cfc-43fc-b1ed-3b3443463cb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91e538b5-4692-42f6-96a9-14df2ba53120' class='xr-var-data-in' type='checkbox'><label for='data-91e538b5-4692-42f6-96a9-14df2ba53120' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a34db8ab-58d3-4d16-b06c-7fb7100b8357' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a34db8ab-58d3-4d16-b06c-7fb7100b8357' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ecc0688-a8f6-4448-84e0-eb54caa36f44' class='xr-var-data-in' type='checkbox'><label for='data-7ecc0688-a8f6-4448-84e0-eb54caa36f44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b69c7d4b-a7a1-4a19-a6cf-99b95deca127' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b69c7d4b-a7a1-4a19-a6cf-99b95deca127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-deaaa21e-a747-4c60-aa3b-04397c92fc2e' class='xr-var-data-in' type='checkbox'><label for='data-deaaa21e-a747-4c60-aa3b-04397c92fc2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ded24d4-f1fc-4478-bc20-ee862f921b5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ded24d4-f1fc-4478-bc20-ee862f921b5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9ab4e46-0e70-40eb-8c8e-7f6efe8779ac' class='xr-var-data-in' type='checkbox'><label for='data-a9ab4e46-0e70-40eb-8c8e-7f6efe8779ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9c0e9802-4dfc-4d00-ba5b-df57141e6593' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c0e9802-4dfc-4d00-ba5b-df57141e6593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5481b8df-e55c-4b03-8646-24dd31d4eff5' class='xr-var-data-in' type='checkbox'><label for='data-5481b8df-e55c-4b03-8646-24dd31d4eff5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9cf3564e-ae9f-4e67-ac5f-afce02b40218' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cf3564e-ae9f-4e67-ac5f-afce02b40218' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-971c2320-39c8-4d03-8dfb-206f2a938714' class='xr-var-data-in' type='checkbox'><label for='data-971c2320-39c8-4d03-8dfb-206f2a938714' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-395b794a-ce92-41d7-8d32-86d7f472c2a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-395b794a-ce92-41d7-8d32-86d7f472c2a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f81d7da6-c687-45cf-970c-071ea652493f' class='xr-var-data-in' type='checkbox'><label for='data-f81d7da6-c687-45cf-970c-071ea652493f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-60e38772-715b-4bbf-87a5-bb5e886ada23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60e38772-715b-4bbf-87a5-bb5e886ada23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0ea2b23-a6a3-4309-be41-71df1ed1079c' class='xr-var-data-in' type='checkbox'><label for='data-f0ea2b23-a6a3-4309-be41-71df1ed1079c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-be6ab74f-e44b-4758-a822-846b3b4d0e51' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be6ab74f-e44b-4758-a822-846b3b4d0e51' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7963c533-15f8-4dd0-a56d-a98acc45b074' class='xr-var-data-in' type='checkbox'><label for='data-7963c533-15f8-4dd0-a56d-a98acc45b074' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-28dc53f8-5f5e-4121-9701-628d4455b2e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28dc53f8-5f5e-4121-9701-628d4455b2e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91e02f3c-bb0a-4f56-ac03-bf11656d8d0e' class='xr-var-data-in' type='checkbox'><label for='data-91e02f3c-bb0a-4f56-ac03-bf11656d8d0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e239e17f-ebe4-4594-a2f2-7ef9dd40f47f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e239e17f-ebe4-4594-a2f2-7ef9dd40f47f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c05f2660-2f0f-4d8f-b64d-b96a0af35efb' class='xr-var-data-in' type='checkbox'><label for='data-c05f2660-2f0f-4d8f-b64d-b96a0af35efb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-054e3f6f-c717-4839-9c67-0873aa0e76d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-054e3f6f-c717-4839-9c67-0873aa0e76d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1b88bfd-3290-46c5-b825-26ae919ef9fd' class='xr-var-data-in' type='checkbox'><label for='data-b1b88bfd-3290-46c5-b825-26ae919ef9fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9fd71e16-1fc6-4925-b54e-45b5f7a8a0ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fd71e16-1fc6-4925-b54e-45b5f7a8a0ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc7fbc27-01fd-4da4-a8f3-bb82283f28ef' class='xr-var-data-in' type='checkbox'><label for='data-bc7fbc27-01fd-4da4-a8f3-bb82283f28ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d088b673-6bf2-4e55-a23d-0a3080cec491' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d088b673-6bf2-4e55-a23d-0a3080cec491' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92aefbc3-295d-4b67-b2a7-3239a97bddfb' class='xr-var-data-in' type='checkbox'><label for='data-92aefbc3-295d-4b67-b2a7-3239a97bddfb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-49cbb2c9-b013-459a-8778-9dbba1cd6f62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49cbb2c9-b013-459a-8778-9dbba1cd6f62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42e8a6d1-452b-4de8-9620-5ecf6b0d3331' class='xr-var-data-in' type='checkbox'><label for='data-42e8a6d1-452b-4de8-9620-5ecf6b0d3331' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca5a0a9f-eb82-43cb-a75a-ca116ff63361' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca5a0a9f-eb82-43cb-a75a-ca116ff63361' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a95cbac8-a5ce-4f88-bbd6-c3a42dea96c6' class='xr-var-data-in' type='checkbox'><label for='data-a95cbac8-a5ce-4f88-bbd6-c3a42dea96c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2b2ba1e-21e5-4a38-9bfd-b365a1cf9be1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2b2ba1e-21e5-4a38-9bfd-b365a1cf9be1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c7c33eb-6860-4609-bb21-23fd372beab7' class='xr-var-data-in' type='checkbox'><label for='data-0c7c33eb-6860-4609-bb21-23fd372beab7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-54f1816d-2904-480b-ac04-e8093201e0b5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54f1816d-2904-480b-ac04-e8093201e0b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54548750-c1ea-4c45-a3f5-eadc1494c472' class='xr-var-data-in' type='checkbox'><label for='data-54548750-c1ea-4c45-a3f5-eadc1494c472' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb9dedd9-9263-46f7-b999-19899dfac6fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb9dedd9-9263-46f7-b999-19899dfac6fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec111e77-d717-4b88-8484-6964e79fd47b' class='xr-var-data-in' type='checkbox'><label for='data-ec111e77-d717-4b88-8484-6964e79fd47b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9c86cf7c-8b62-4207-b139-5b6f44f6cb04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c86cf7c-8b62-4207-b139-5b6f44f6cb04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-061243d2-ce6b-4e46-87d8-c2d9cd153067' class='xr-var-data-in' type='checkbox'><label for='data-061243d2-ce6b-4e46-87d8-c2d9cd153067' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b093ea8b-dc04-479e-84ef-61360135edbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b093ea8b-dc04-479e-84ef-61360135edbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf3a2f6f-3b8b-442d-9ac4-e63a0c010773' class='xr-var-data-in' type='checkbox'><label for='data-cf3a2f6f-3b8b-442d-9ac4-e63a0c010773' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0da42d22-108a-441e-a9da-1432d38195c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0da42d22-108a-441e-a9da-1432d38195c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cc041f3-f059-42de-a75e-97be6e96f17c' class='xr-var-data-in' type='checkbox'><label for='data-7cc041f3-f059-42de-a75e-97be6e96f17c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9ce6a93c-1e77-46d7-8f43-d7d4e8b17787' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ce6a93c-1e77-46d7-8f43-d7d4e8b17787' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-193a2917-d699-4611-80ac-27f1e01bf818' class='xr-var-data-in' type='checkbox'><label for='data-193a2917-d699-4611-80ac-27f1e01bf818' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23754eec-fc86-4975-8816-292652a730e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23754eec-fc86-4975-8816-292652a730e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76883094-cf07-4df8-9c5b-0d3accfd01f8' class='xr-var-data-in' type='checkbox'><label for='data-76883094-cf07-4df8-9c5b-0d3accfd01f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xaxis</span></div><div class='xr-var-dims'>(nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-120bd216-2c0a-49c8-a9f9-29b18dd437e1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-120bd216-2c0a-49c8-a9f9-29b18dd437e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47704108-dd94-4c89-b2c7-d9ed04640f0d' class='xr-var-data-in' type='checkbox'><label for='data-47704108-dd94-4c89-b2c7-d9ed04640f0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[500 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yaxis</span></div><div class='xr-var-dims'>(ny)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-599662f3-e659-416c-8152-47fd7bd1e07b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-599662f3-e659-416c-8152-47fd7bd1e07b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7ad68ba-257a-437a-b1a6-2989059b101c' class='xr-var-data-in' type='checkbox'><label for='data-c7ad68ba-257a-437a-b1a6-2989059b101c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8883ed0d-f5f2-4274-9061-79a42eec3677' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8883ed0d-f5f2-4274-9061-79a42eec3677' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6e909b91-5a6c-43a6-8977-98e984a86706' class='xr-section-summary-in' type='checkbox'  ><label for='section-6e909b91-5a6c-43a6-8977-98e984a86706' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Take a look at the dataset:</p>
 <div class="cell docutils container">
@@ -1328,7 +1345,7 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
     Data_citation:        NSIDC Citation Rignot, E., J. Mouginot, and B. Sche...
     More_information:     http://nsidc.org/data/nsidc-0545.html
     Notes_3:                       Data were processed at the Department of E...
-    Description:          Created a spatial subset of original dataset. Selec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b2028015-0c71-46a4-9857-81b5c6729bbf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b2028015-0c71-46a4-9857-81b5c6729bbf' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>ny</span>: 800</li><li><span>nx</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ca5f5357-739c-4830-b81c-010f5f210c83' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ca5f5357-739c-4830-b81c-010f5f210c83' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-84c55354-75ab-4a0a-96e8-7dac130a5248' class='xr-section-summary-in' type='checkbox'  ><label for='section-84c55354-75ab-4a0a-96e8-7dac130a5248' class='xr-section-summary' >Data variables: <span>(32)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-902cd0d9-d7f4-43e9-adb0-7c423041b6e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-902cd0d9-d7f4-43e9-adb0-7c423041b6e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f187dd9f-7ff9-473c-b39a-83d39e0d5f32' class='xr-var-data-in' type='checkbox'><label for='data-f187dd9f-7ff9-473c-b39a-83d39e0d5f32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f54148d4-925c-4840-b82c-a11e57549682' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f54148d4-925c-4840-b82c-a11e57549682' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30c42b5a-92d1-4b0c-b35e-9041e5db6230' class='xr-var-data-in' type='checkbox'><label for='data-30c42b5a-92d1-4b0c-b35e-9041e5db6230' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c4f60635-7ef4-4b3e-b99b-951657e21f7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4f60635-7ef4-4b3e-b99b-951657e21f7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d443e158-0160-4cc7-995f-31c840f1d061' class='xr-var-data-in' type='checkbox'><label for='data-d443e158-0160-4cc7-995f-31c840f1d061' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3968c338-bbfc-4097-b730-f4866ece702a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3968c338-bbfc-4097-b730-f4866ece702a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-758a68a5-c2e3-4287-8ba0-f6fe6153b58c' class='xr-var-data-in' type='checkbox'><label for='data-758a68a5-c2e3-4287-8ba0-f6fe6153b58c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fab9b0e3-8242-47a6-8586-d02442855fa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fab9b0e3-8242-47a6-8586-d02442855fa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3eba3f1a-90f4-4d8b-8c11-231f37514c90' class='xr-var-data-in' type='checkbox'><label for='data-3eba3f1a-90f4-4d8b-8c11-231f37514c90' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f51d97c-e595-4f5f-a4f9-8f7c75fcaacc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f51d97c-e595-4f5f-a4f9-8f7c75fcaacc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10f6a2d3-6657-424a-b306-cd32f76af55d' class='xr-var-data-in' type='checkbox'><label for='data-10f6a2d3-6657-424a-b306-cd32f76af55d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b002fd28-5517-4b99-97ec-3885b7968f4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b002fd28-5517-4b99-97ec-3885b7968f4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-575593ba-3387-48bf-a764-b13f91a58073' class='xr-var-data-in' type='checkbox'><label for='data-575593ba-3387-48bf-a764-b13f91a58073' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-de7cd3d2-f1f8-4df4-a5a5-69414ff4711b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de7cd3d2-f1f8-4df4-a5a5-69414ff4711b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5639870a-6cc7-437a-a582-a8998a61d257' class='xr-var-data-in' type='checkbox'><label for='data-5639870a-6cc7-437a-a582-a8998a61d257' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d340536-aab5-4d44-9528-e0181872ae91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d340536-aab5-4d44-9528-e0181872ae91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc1271fd-d247-42d1-bf43-3ac0ca2079b2' class='xr-var-data-in' type='checkbox'><label for='data-dc1271fd-d247-42d1-bf43-3ac0ca2079b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-230db9b4-86af-4c3a-8282-a4fbd408a5a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-230db9b4-86af-4c3a-8282-a4fbd408a5a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d292f05-070b-47f3-96ec-9f1b69f72e47' class='xr-var-data-in' type='checkbox'><label for='data-5d292f05-070b-47f3-96ec-9f1b69f72e47' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dd8aa542-43a3-4574-86cf-db93cca642e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd8aa542-43a3-4574-86cf-db93cca642e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7aa73a52-d05d-491c-9f69-881598430be2' class='xr-var-data-in' type='checkbox'><label for='data-7aa73a52-d05d-491c-9f69-881598430be2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-05f47619-1d7f-4c54-b738-69b84acd3bcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05f47619-1d7f-4c54-b738-69b84acd3bcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-328ec675-270e-4ed0-9411-be09b691a3d4' class='xr-var-data-in' type='checkbox'><label for='data-328ec675-270e-4ed0-9411-be09b691a3d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f36a3a53-4253-44d2-ae0c-f38b7fa7a999' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f36a3a53-4253-44d2-ae0c-f38b7fa7a999' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5acb213c-0017-4d8e-b464-072f4f4d37a9' class='xr-var-data-in' type='checkbox'><label for='data-5acb213c-0017-4d8e-b464-072f4f4d37a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-553ac352-180c-4da9-93b4-93aafd40ccfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-553ac352-180c-4da9-93b4-93aafd40ccfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ec781f2-6537-4747-9de7-d4a9bc120ee6' class='xr-var-data-in' type='checkbox'><label for='data-7ec781f2-6537-4747-9de7-d4a9bc120ee6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-902c31c1-68ea-413c-b64c-407bf89e810d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-902c31c1-68ea-413c-b64c-407bf89e810d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd22ead6-b7d5-4dfc-ab85-6cae70a08a54' class='xr-var-data-in' type='checkbox'><label for='data-dd22ead6-b7d5-4dfc-ab85-6cae70a08a54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1936e5cb-1869-4fa4-8021-40545e460476' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1936e5cb-1869-4fa4-8021-40545e460476' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56df1760-a147-4d8f-b4af-8f37b212f5f0' class='xr-var-data-in' type='checkbox'><label for='data-56df1760-a147-4d8f-b4af-8f37b212f5f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d65bb39-eeea-437b-bf65-848642487f23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d65bb39-eeea-437b-bf65-848642487f23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63cbe679-3681-4d0a-8765-bcc7212a552d' class='xr-var-data-in' type='checkbox'><label for='data-63cbe679-3681-4d0a-8765-bcc7212a552d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9c26fe12-975d-4219-ab5f-d9b3072ec267' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c26fe12-975d-4219-ab5f-d9b3072ec267' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7881f7de-36e8-46f5-82a9-4b4f979ce750' class='xr-var-data-in' type='checkbox'><label for='data-7881f7de-36e8-46f5-82a9-4b4f979ce750' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c1aa60f7-05f1-4bf3-8e00-76d828f52d0a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c1aa60f7-05f1-4bf3-8e00-76d828f52d0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d24a138-f966-4335-bf3f-12b5f4989699' class='xr-var-data-in' type='checkbox'><label for='data-8d24a138-f966-4335-bf3f-12b5f4989699' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-39ad997e-e1c1-4234-a85c-cb2a5f920277' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39ad997e-e1c1-4234-a85c-cb2a5f920277' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-573065bf-f88f-4515-bb20-f3711348c845' class='xr-var-data-in' type='checkbox'><label for='data-573065bf-f88f-4515-bb20-f3711348c845' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f52fdebb-ad63-4406-afa2-e3d07449f8c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f52fdebb-ad63-4406-afa2-e3d07449f8c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51a3110c-d73d-45f6-ac9f-61c5b213dc82' class='xr-var-data-in' type='checkbox'><label for='data-51a3110c-d73d-45f6-ac9f-61c5b213dc82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d29ba687-0e81-48ae-90ba-4adfb365821b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d29ba687-0e81-48ae-90ba-4adfb365821b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a46598a-d59d-4125-b03d-4146c69cb161' class='xr-var-data-in' type='checkbox'><label for='data-1a46598a-d59d-4125-b03d-4146c69cb161' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d8fc2366-2eb4-40fa-be5e-74d9974028d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8fc2366-2eb4-40fa-be5e-74d9974028d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47fa4eea-1672-4dfd-93a2-d3303db9b07f' class='xr-var-data-in' type='checkbox'><label for='data-47fa4eea-1672-4dfd-93a2-d3303db9b07f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-868c1677-cb07-4b7e-80ab-e57c9bbf97e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-868c1677-cb07-4b7e-80ab-e57c9bbf97e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57e0608e-77bf-4bf6-b5ab-ff2c2dda7510' class='xr-var-data-in' type='checkbox'><label for='data-57e0608e-77bf-4bf6-b5ab-ff2c2dda7510' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5e01a352-7df0-4fd3-9ee2-12e05ac11d85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e01a352-7df0-4fd3-9ee2-12e05ac11d85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a270637e-72bd-4b52-9ac7-29f066fca251' class='xr-var-data-in' type='checkbox'><label for='data-a270637e-72bd-4b52-9ac7-29f066fca251' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-01c6ca52-fe58-468a-95b7-8f57eb310d83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01c6ca52-fe58-468a-95b7-8f57eb310d83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-111ae6d3-8a03-4882-ba6d-763313505552' class='xr-var-data-in' type='checkbox'><label for='data-111ae6d3-8a03-4882-ba6d-763313505552' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ffbfcaf-81ba-433f-97f5-89ae526b04d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ffbfcaf-81ba-433f-97f5-89ae526b04d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32f6131d-d278-4c88-8fee-22ba27f30be9' class='xr-var-data-in' type='checkbox'><label for='data-32f6131d-d278-4c88-8fee-22ba27f30be9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6aa65b18-72e0-41a4-aaa0-440f3889c503' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6aa65b18-72e0-41a4-aaa0-440f3889c503' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94a7da72-c17a-4f7c-b778-d295cded1025' class='xr-var-data-in' type='checkbox'><label for='data-94a7da72-c17a-4f7c-b778-d295cded1025' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f7e08084-670a-47c5-8ab7-c960dee45d6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7e08084-670a-47c5-8ab7-c960dee45d6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a60414c-01c0-468e-9bf8-c4137578ae8a' class='xr-var-data-in' type='checkbox'><label for='data-4a60414c-01c0-468e-9bf8-c4137578ae8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92791bde-5cc0-4c9c-a328-f51c548200d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92791bde-5cc0-4c9c-a328-f51c548200d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9cd6680-0a54-4d93-a0b5-34901834222a' class='xr-var-data-in' type='checkbox'><label for='data-d9cd6680-0a54-4d93-a0b5-34901834222a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xaxis</span></div><div class='xr-var-dims'>(nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8394665a-60a7-477b-9084-93802d6702fe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8394665a-60a7-477b-9084-93802d6702fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03de12de-d5d2-435e-85e2-ccd2b4244da0' class='xr-var-data-in' type='checkbox'><label for='data-03de12de-d5d2-435e-85e2-ccd2b4244da0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[500 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yaxis</span></div><div class='xr-var-dims'>(ny)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b184ca3a-39a9-4775-b82b-668a88bd6c14' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b184ca3a-39a9-4775-b82b-668a88bd6c14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4813831-ec69-420f-b33b-0130875d9db7' class='xr-var-data-in' type='checkbox'><label for='data-d4813831-ec69-420f-b33b-0130875d9db7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b035dc55-1088-4653-87f0-7219425b615a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b035dc55-1088-4653-87f0-7219425b615a' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1ddf9295-a02f-4a35-8fc5-f272482844b6' class='xr-section-summary-in' type='checkbox'  ><label for='section-1ddf9295-a02f-4a35-8fc5-f272482844b6' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
+    Description:          Created a spatial subset of original dataset. Selec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7c0e3e66-89d4-4273-88b0-3b7aa94eb898' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7c0e3e66-89d4-4273-88b0-3b7aa94eb898' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>ny</span>: 800</li><li><span>nx</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-7fcae545-ba6c-4bb6-b517-3b692315c9ad' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7fcae545-ba6c-4bb6-b517-3b692315c9ad' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6a47f689-8ebf-4ab2-858c-045d9573cd79' class='xr-section-summary-in' type='checkbox'  ><label for='section-6a47f689-8ebf-4ab2-858c-045d9573cd79' class='xr-section-summary' >Data variables: <span>(32)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-729a1c14-60a3-46e3-8ad6-7df516e299f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-729a1c14-60a3-46e3-8ad6-7df516e299f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53154734-978a-498b-b9dc-98681418962d' class='xr-var-data-in' type='checkbox'><label for='data-53154734-978a-498b-b9dc-98681418962d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1b42950d-36ab-4574-9c1d-2e0c2ff31449' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b42950d-36ab-4574-9c1d-2e0c2ff31449' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12ecb828-fa03-4e80-8062-125badfb1c80' class='xr-var-data-in' type='checkbox'><label for='data-12ecb828-fa03-4e80-8062-125badfb1c80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err1996</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a64c11f3-2634-4f8a-8225-d7c801db7381' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a64c11f3-2634-4f8a-8225-d7c801db7381' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d935a8e-1e63-4d5a-b4d4-468a338fa383' class='xr-var-data-in' type='checkbox'><label for='data-0d935a8e-1e63-4d5a-b4d4-468a338fa383' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4931cdd-2f48-4931-9bf3-a77a9848ca62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4931cdd-2f48-4931-9bf3-a77a9848ca62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fac265f-6870-4277-95fb-eac5bd165b17' class='xr-var-data-in' type='checkbox'><label for='data-3fac265f-6870-4277-95fb-eac5bd165b17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3a334d13-84bb-4544-a3c2-2280ac593696' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a334d13-84bb-4544-a3c2-2280ac593696' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccf011ae-fe77-400a-ab4a-59ebb5ea3bda' class='xr-var-data-in' type='checkbox'><label for='data-ccf011ae-fe77-400a-ab4a-59ebb5ea3bda' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2000</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0acb83bd-8774-4240-91bf-f2e6836412ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0acb83bd-8774-4240-91bf-f2e6836412ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a07d6dc2-e51e-4104-b83f-33ea8f6e75af' class='xr-var-data-in' type='checkbox'><label for='data-a07d6dc2-e51e-4104-b83f-33ea8f6e75af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cc8399d8-3c02-41a3-8fa3-41b248415ffb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc8399d8-3c02-41a3-8fa3-41b248415ffb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f691f03-cde7-4b74-8c00-09b4b021ef24' class='xr-var-data-in' type='checkbox'><label for='data-9f691f03-cde7-4b74-8c00-09b4b021ef24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ef764d95-bbfa-4a98-9be8-b5932f8d9112' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef764d95-bbfa-4a98-9be8-b5932f8d9112' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cab293b1-8a44-432c-a9ef-98101bf10934' class='xr-var-data-in' type='checkbox'><label for='data-cab293b1-8a44-432c-a9ef-98101bf10934' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2002</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-217f3b3a-6946-4c48-83ba-60218880c66c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-217f3b3a-6946-4c48-83ba-60218880c66c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e603d7a-27c4-4801-ba10-0cc3b1e09527' class='xr-var-data-in' type='checkbox'><label for='data-4e603d7a-27c4-4801-ba10-0cc3b1e09527' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2dde5f92-d215-4954-aac9-9ced8f1baa56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2dde5f92-d215-4954-aac9-9ced8f1baa56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d281dbc5-4cdb-42c4-bf98-a81f7ecaa5fc' class='xr-var-data-in' type='checkbox'><label for='data-d281dbc5-4cdb-42c4-bf98-a81f7ecaa5fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d2c94c6d-5652-4e9c-b450-8965f9e0d496' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2c94c6d-5652-4e9c-b450-8965f9e0d496' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-081de8b3-f0e0-4740-9b8d-fb4236cf373f' class='xr-var-data-in' type='checkbox'><label for='data-081de8b3-f0e0-4740-9b8d-fb4236cf373f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2006</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-24490a80-6dc1-472e-b8eb-76019abed7aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24490a80-6dc1-472e-b8eb-76019abed7aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88e9bb24-27be-444a-aa4c-9b670a83b5a3' class='xr-var-data-in' type='checkbox'><label for='data-88e9bb24-27be-444a-aa4c-9b670a83b5a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-07f0a1e2-3b33-4ddc-9c58-85839d75cf65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07f0a1e2-3b33-4ddc-9c58-85839d75cf65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e79a17c0-02d2-4c6b-85fd-42345460afb4' class='xr-var-data-in' type='checkbox'><label for='data-e79a17c0-02d2-4c6b-85fd-42345460afb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22e30fef-7600-411f-b273-6f031cb985f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22e30fef-7600-411f-b273-6f031cb985f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0276d7ce-5dce-4709-a382-7b924689e4da' class='xr-var-data-in' type='checkbox'><label for='data-0276d7ce-5dce-4709-a382-7b924689e4da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2007</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-018381d9-9f10-452d-aada-348ffdad6e2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-018381d9-9f10-452d-aada-348ffdad6e2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9ae061d-23c0-4967-abfb-056362e16f45' class='xr-var-data-in' type='checkbox'><label for='data-f9ae061d-23c0-4967-abfb-056362e16f45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1970a518-6a36-496a-9106-112c0ef2a85a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1970a518-6a36-496a-9106-112c0ef2a85a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a83f94bc-c64f-413e-9bdf-9c3c527c8a84' class='xr-var-data-in' type='checkbox'><label for='data-a83f94bc-c64f-413e-9bdf-9c3c527c8a84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-90f4aaed-f452-4f14-b03a-9910574f5192' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90f4aaed-f452-4f14-b03a-9910574f5192' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7043fab7-0ffa-4139-8e51-ac41f5f4d611' class='xr-var-data-in' type='checkbox'><label for='data-7043fab7-0ffa-4139-8e51-ac41f5f4d611' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2008</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6e433fe7-c689-4aed-9137-a5ec4ca253b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e433fe7-c689-4aed-9137-a5ec4ca253b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41f0b31d-cf98-47ab-affc-6d07c3fd054a' class='xr-var-data-in' type='checkbox'><label for='data-41f0b31d-cf98-47ab-affc-6d07c3fd054a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a3a8453c-56cd-4215-948c-8235bc021360' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a3a8453c-56cd-4215-948c-8235bc021360' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cca65634-e279-4a22-8476-26bbdc0fe610' class='xr-var-data-in' type='checkbox'><label for='data-cca65634-e279-4a22-8476-26bbdc0fe610' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bb5cab24-04fa-43a9-9a80-40404d04ca76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb5cab24-04fa-43a9-9a80-40404d04ca76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eac9a801-c7c5-419a-bdd9-e77f371c08b4' class='xr-var-data-in' type='checkbox'><label for='data-eac9a801-c7c5-419a-bdd9-e77f371c08b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2009</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e9063596-cb37-4245-a76a-f90c0486bf15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9063596-cb37-4245-a76a-f90c0486bf15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba6b4955-6a73-4b29-8ec3-8812c532ea22' class='xr-var-data-in' type='checkbox'><label for='data-ba6b4955-6a73-4b29-8ec3-8812c532ea22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d867b780-ddb4-4cc4-b4fc-6363e30e51ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d867b780-ddb4-4cc4-b4fc-6363e30e51ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f79a95c-b705-40b9-8f5a-151a8091f805' class='xr-var-data-in' type='checkbox'><label for='data-9f79a95c-b705-40b9-8f5a-151a8091f805' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9449d7dd-229d-4b0d-8dd4-f376cda4899e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9449d7dd-229d-4b0d-8dd4-f376cda4899e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13f04901-cec8-47d5-82f5-9679aabee14f' class='xr-var-data-in' type='checkbox'><label for='data-13f04901-cec8-47d5-82f5-9679aabee14f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2010</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36e1230b-d276-439f-ae25-6aa45d3ccfa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36e1230b-d276-439f-ae25-6aa45d3ccfa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69d290cb-5e15-4ceb-9b2d-1ae47d409102' class='xr-var-data-in' type='checkbox'><label for='data-69d290cb-5e15-4ceb-9b2d-1ae47d409102' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-db7cb2f4-2a64-42fb-97a6-69c64373b994' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db7cb2f4-2a64-42fb-97a6-69c64373b994' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-affddc08-aa9a-4d89-b3ee-702e9d6a68ac' class='xr-var-data-in' type='checkbox'><label for='data-affddc08-aa9a-4d89-b3ee-702e9d6a68ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-20e8c155-137e-414f-9bba-66276a21605d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-20e8c155-137e-414f-9bba-66276a21605d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b48b9031-8d00-491f-bdde-9bbd956d533d' class='xr-var-data-in' type='checkbox'><label for='data-b48b9031-8d00-491f-bdde-9bbd956d533d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2011</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fcf389c1-1bb2-4af9-b43d-d961a747e3f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcf389c1-1bb2-4af9-b43d-d961a747e3f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fb09b9b-7a0d-44e3-ab0f-b3a5566e626b' class='xr-var-data-in' type='checkbox'><label for='data-6fb09b9b-7a0d-44e3-ab0f-b3a5566e626b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5896936-feb4-4e9c-b45d-ff7519ff4c63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5896936-feb4-4e9c-b45d-ff7519ff4c63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08ec3aef-9917-4491-ba6d-c51333ced812' class='xr-var-data-in' type='checkbox'><label for='data-08ec3aef-9917-4491-ba6d-c51333ced812' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-10de1ff6-17dd-40d2-8f60-52a4cea641bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-10de1ff6-17dd-40d2-8f60-52a4cea641bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ca52849-39fd-4564-bb09-73961594283a' class='xr-var-data-in' type='checkbox'><label for='data-7ca52849-39fd-4564-bb09-73961594283a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2012</span></div><div class='xr-var-dims'>(ny, nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-64101c0f-3fb8-4fd3-b241-8cd8c0e8f19f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64101c0f-3fb8-4fd3-b241-8cd8c0e8f19f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-faec79d9-d457-406a-bf69-7037504ee11d' class='xr-var-data-in' type='checkbox'><label for='data-faec79d9-d457-406a-bf69-7037504ee11d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xaxis</span></div><div class='xr-var-dims'>(nx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ee3b448-3cf6-454f-99e6-765d2e7c4dcc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ee3b448-3cf6-454f-99e6-765d2e7c4dcc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee2f7921-290c-4aab-98f7-eb3f72c02ca1' class='xr-var-data-in' type='checkbox'><label for='data-ee2f7921-290c-4aab-98f7-eb3f72c02ca1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[500 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yaxis</span></div><div class='xr-var-dims'>(ny)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5af82a79-6c50-4c1f-b43d-63a4dcf45657' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5af82a79-6c50-4c1f-b43d-63a4dcf45657' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-550b4a69-3a18-4476-b352-ad29457163ab' class='xr-var-data-in' type='checkbox'><label for='data-550b4a69-3a18-4476-b352-ad29457163ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[800 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8e01f95-0434-48b8-86d1-9e24fc51b63b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b8e01f95-0434-48b8-86d1-9e24fc51b63b' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5a563114-837b-4b2b-9f71-f6858db0774f' class='xr-section-summary-in' type='checkbox'  ><label for='section-5a563114-837b-4b2b-9f71-f6858db0774f' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Check the projection:</p>
 <div class="cell docutils container">
@@ -1356,6 +1373,12 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
 500
 </pre></div>
 </div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_4187/3673374015.py:1: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
+  print(ds.dims[&#39;ny&#39;])
+/tmp/ipykernel_4187/3673374015.py:2: FutureWarning: The return type of `Dataset.dims` will be changed to return a set of dimension names in future, in order to be more consistent with `DataArray.dims`. To access a mapping from dimension names to lengths, please use `Dataset.sizes`.
+  print(ds.dims[&#39;nx&#39;])
+</pre></div>
+</div>
 </div>
 </div>
 <div class="cell docutils container">
@@ -1782,19 +1805,19 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
     Data_citation:        NSIDC Citation Rignot, E., J. Mouginot, and B. Sche...
     More_information:     http://nsidc.org/data/nsidc-0545.html
     Notes_3:                       Data were processed at the Department of E...
-    Description:          Created a spatial subset of original dataset. Selec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-299e6a29-70ff-408a-b90a-a9042dce2cbb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-299e6a29-70ff-408a-b90a-a9042dce2cbb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>yaxis</span>: 800</li><li><span class='xr-has-index'>xaxis</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-32acb553-e3d1-4b39-8343-f8c1d3eda3f8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-32acb553-e3d1-4b39-8343-f8c1d3eda3f8' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xaxis</span></div><div class='xr-var-dims'>(xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-62a2db72-3446-4187-a63e-8252e9abc7f7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-62a2db72-3446-4187-a63e-8252e9abc7f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d0b4240-560b-4c26-be93-652e416654a2' class='xr-var-data-in' type='checkbox'><label for='data-0d0b4240-560b-4c26-be93-652e416654a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yaxis</span></div><div class='xr-var-dims'>(yaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-6446d071-c16e-4b76-817f-7d25cbdeee56' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6446d071-c16e-4b76-817f-7d25cbdeee56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcf04fb3-4cb9-40d9-a3f2-c68276b70c01' class='xr-var-data-in' type='checkbox'><label for='data-fcf04fb3-4cb9-40d9-a3f2-c68276b70c01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-139a6c63-6fc6-456d-be93-e51ef49fa608' class='xr-section-summary-in' type='checkbox'  ><label for='section-139a6c63-6fc6-456d-be93-e51ef49fa608' class='xr-section-summary' >Data variables: <span>(30)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx1996</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-23f76657-f434-465b-a258-b5c8fe2b2a38' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23f76657-f434-465b-a258-b5c8fe2b2a38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfcc442d-7b2c-4142-bdf7-307f42131fab' class='xr-var-data-in' type='checkbox'><label for='data-bfcc442d-7b2c-4142-bdf7-307f42131fab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy1996</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3f2403c-7250-4c7e-b510-6e4ef81a871f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3f2403c-7250-4c7e-b510-6e4ef81a871f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23ec885b-5fc4-45f4-bb07-ae9a6d11bbaf' class='xr-var-data-in' type='checkbox'><label for='data-23ec885b-5fc4-45f4-bb07-ae9a6d11bbaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err1996</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-922cfabd-7d83-4090-b107-623c7958c5e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-922cfabd-7d83-4090-b107-623c7958c5e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b2114f7-b59f-41e5-977d-45d65164f4e9' class='xr-var-data-in' type='checkbox'><label for='data-9b2114f7-b59f-41e5-977d-45d65164f4e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2000</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4161d7b0-3ff8-4a65-9730-f30f8920774a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4161d7b0-3ff8-4a65-9730-f30f8920774a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cfea189-3dcc-4563-b160-2339aaa0420b' class='xr-var-data-in' type='checkbox'><label for='data-4cfea189-3dcc-4563-b160-2339aaa0420b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2000</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b18966bf-82d3-4749-a06b-6d83156b511d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b18966bf-82d3-4749-a06b-6d83156b511d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32e477d5-753c-4d18-99b5-39fc78aca19f' class='xr-var-data-in' type='checkbox'><label for='data-32e477d5-753c-4d18-99b5-39fc78aca19f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2000</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1f24b907-be21-46d0-bab6-623c1afd5014' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f24b907-be21-46d0-bab6-623c1afd5014' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b8cc508-0843-4d5c-a018-d8e4b89d51b6' class='xr-var-data-in' type='checkbox'><label for='data-6b8cc508-0843-4d5c-a018-d8e4b89d51b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2002</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-52e008d6-b420-4dcf-aa77-0c71fae3138e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52e008d6-b420-4dcf-aa77-0c71fae3138e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-821a07e4-9de3-4d5e-b6a1-dcf3bcd96eee' class='xr-var-data-in' type='checkbox'><label for='data-821a07e4-9de3-4d5e-b6a1-dcf3bcd96eee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2002</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-53f25e7d-ca51-4543-a27c-4fa823483f26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53f25e7d-ca51-4543-a27c-4fa823483f26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3839d2d5-304d-4214-90f1-97c84d6b1aaf' class='xr-var-data-in' type='checkbox'><label for='data-3839d2d5-304d-4214-90f1-97c84d6b1aaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2002</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-171d3faf-3a38-4760-9445-9c9e93374bf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-171d3faf-3a38-4760-9445-9c9e93374bf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01208190-b51a-407d-985b-196c58c43989' class='xr-var-data-in' type='checkbox'><label for='data-01208190-b51a-407d-985b-196c58c43989' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2006</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-941d7f3b-4d3d-455c-8bb6-3afbfe20062e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-941d7f3b-4d3d-455c-8bb6-3afbfe20062e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de8e64ec-efb7-43cc-ac00-d7d8fac40091' class='xr-var-data-in' type='checkbox'><label for='data-de8e64ec-efb7-43cc-ac00-d7d8fac40091' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2006</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9f063853-f2b0-481c-a103-18872fb8c2a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f063853-f2b0-481c-a103-18872fb8c2a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61c69647-c6c3-46fe-a5bb-ce45c0879f1c' class='xr-var-data-in' type='checkbox'><label for='data-61c69647-c6c3-46fe-a5bb-ce45c0879f1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2006</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dc160b4e-5b7e-47be-a2c7-af468fb0f2b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc160b4e-5b7e-47be-a2c7-af468fb0f2b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14538715-3d13-42f9-a713-94c662e76f44' class='xr-var-data-in' type='checkbox'><label for='data-14538715-3d13-42f9-a713-94c662e76f44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2007</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-834596f2-a2a8-47ec-beda-33b45063c9e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-834596f2-a2a8-47ec-beda-33b45063c9e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e995033-bc61-40ae-9296-325dea4aaa9a' class='xr-var-data-in' type='checkbox'><label for='data-1e995033-bc61-40ae-9296-325dea4aaa9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2007</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7f7671bd-1f1d-4336-a707-5e5e143ff330' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f7671bd-1f1d-4336-a707-5e5e143ff330' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adbdf271-2117-47a8-a733-f5761b555b04' class='xr-var-data-in' type='checkbox'><label for='data-adbdf271-2117-47a8-a733-f5761b555b04' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2007</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2cad14f6-7160-41cc-8dc9-8eea7f726d2c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cad14f6-7160-41cc-8dc9-8eea7f726d2c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-900d9315-7d97-4936-81a7-2959414f6ec3' class='xr-var-data-in' type='checkbox'><label for='data-900d9315-7d97-4936-81a7-2959414f6ec3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2008</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-dbfeec27-d204-4664-b372-ecdab8c2777b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbfeec27-d204-4664-b372-ecdab8c2777b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7b63e73-5ce3-44ba-8c57-1bc1a97eb071' class='xr-var-data-in' type='checkbox'><label for='data-f7b63e73-5ce3-44ba-8c57-1bc1a97eb071' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2008</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4fa7b6bc-7a75-4916-96d2-ad6384383e48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fa7b6bc-7a75-4916-96d2-ad6384383e48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4451695-4ad1-4b85-97ff-79ab4a4dcf02' class='xr-var-data-in' type='checkbox'><label for='data-e4451695-4ad1-4b85-97ff-79ab4a4dcf02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2008</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00231e89-1990-449b-8e37-1f163d245f61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00231e89-1990-449b-8e37-1f163d245f61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce1eb2e9-5271-4e07-b479-f714e8d7c1d6' class='xr-var-data-in' type='checkbox'><label for='data-ce1eb2e9-5271-4e07-b479-f714e8d7c1d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2009</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a617bc50-be20-4914-b5b8-41c5d6e3a000' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a617bc50-be20-4914-b5b8-41c5d6e3a000' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-693d8f37-50b9-4731-94ce-d0beab8f4464' class='xr-var-data-in' type='checkbox'><label for='data-693d8f37-50b9-4731-94ce-d0beab8f4464' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2009</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a260a45-98fb-4753-8032-ec6136747a04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a260a45-98fb-4753-8032-ec6136747a04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee23289d-8e00-43f1-a110-eb38451159e4' class='xr-var-data-in' type='checkbox'><label for='data-ee23289d-8e00-43f1-a110-eb38451159e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2009</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47c68569-867b-41a4-ae5c-199701fac7c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47c68569-867b-41a4-ae5c-199701fac7c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26be56ad-a128-4957-a967-f4a49ca133f4' class='xr-var-data-in' type='checkbox'><label for='data-26be56ad-a128-4957-a967-f4a49ca133f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2010</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ae268ced-b7b1-4543-8bca-501c9f165cb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae268ced-b7b1-4543-8bca-501c9f165cb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51a2c832-da67-4522-80af-c45d4251b632' class='xr-var-data-in' type='checkbox'><label for='data-51a2c832-da67-4522-80af-c45d4251b632' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2010</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e471df17-0033-4054-93fd-177bdb4d2faf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e471df17-0033-4054-93fd-177bdb4d2faf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9bf1974-3472-43a4-9203-daee76eeb47d' class='xr-var-data-in' type='checkbox'><label for='data-b9bf1974-3472-43a4-9203-daee76eeb47d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2010</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-209b8102-4246-45f7-aeda-ac01938a65b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-209b8102-4246-45f7-aeda-ac01938a65b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f4f6394-c16c-44ce-9753-b28e30403c98' class='xr-var-data-in' type='checkbox'><label for='data-6f4f6394-c16c-44ce-9753-b28e30403c98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2011</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ffe8617-5ea6-42df-8c90-e1d320333d8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ffe8617-5ea6-42df-8c90-e1d320333d8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03b59074-419f-49b4-b0bd-da192d639e21' class='xr-var-data-in' type='checkbox'><label for='data-03b59074-419f-49b4-b0bd-da192d639e21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2011</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ec86f2e-eae2-459f-9f66-dc4b7c08e290' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ec86f2e-eae2-459f-9f66-dc4b7c08e290' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-340ae3cd-d8d0-4b10-8639-5f1486a124d7' class='xr-var-data-in' type='checkbox'><label for='data-340ae3cd-d8d0-4b10-8639-5f1486a124d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2011</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-634afe2f-02e7-4f89-9f95-e098a5fe338f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-634afe2f-02e7-4f89-9f95-e098a5fe338f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55b32f7f-7cfd-4eea-97af-d6b48ceb4d26' class='xr-var-data-in' type='checkbox'><label for='data-55b32f7f-7cfd-4eea-97af-d6b48ceb4d26' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2012</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2c6b9049-8527-40e9-9964-9283a201ee80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c6b9049-8527-40e9-9964-9283a201ee80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed794ae7-34c4-4021-8db7-e28c269ef119' class='xr-var-data-in' type='checkbox'><label for='data-ed794ae7-34c4-4021-8db7-e28c269ef119' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2012</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9665a22-8456-4c6f-8978-28d01a527f93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9665a22-8456-4c6f-8978-28d01a527f93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0beae4f4-584e-4cb8-8b79-d6fd66d96115' class='xr-var-data-in' type='checkbox'><label for='data-0beae4f4-584e-4cb8-8b79-d6fd66d96115' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2012</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-51a0dd17-7866-48e9-812e-b5b1bb9468b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51a0dd17-7866-48e9-812e-b5b1bb9468b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35fb3274-eab4-4600-b63b-9d00c4369d50' class='xr-var-data-in' type='checkbox'><label for='data-35fb3274-eab4-4600-b63b-9d00c4369d50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d2ee2dde-23c9-4398-a409-c85d7d26363f' class='xr-section-summary-in' type='checkbox'  ><label for='section-d2ee2dde-23c9-4398-a409-c85d7d26363f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>xaxis</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f2e98947-444f-4fd8-a89f-c3600ca88847' class='xr-index-data-in' type='checkbox'/><label for='index-f2e98947-444f-4fd8-a89f-c3600ca88847' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
+    Description:          Created a spatial subset of original dataset. Selec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-68ad3762-9e69-41ae-ace0-09c1e45c7fae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-68ad3762-9e69-41ae-ace0-09c1e45c7fae' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>yaxis</span>: 800</li><li><span class='xr-has-index'>xaxis</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6bdfc3dc-aec1-4643-8f5e-330c4b22bad8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6bdfc3dc-aec1-4643-8f5e-330c4b22bad8' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>xaxis</span></div><div class='xr-var-dims'>(xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-a3ad8b62-17a6-42df-81e4-0c4d5d185792' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a3ad8b62-17a6-42df-81e4-0c4d5d185792' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0aaeb9c-8c5c-48f0-9106-592075095f87' class='xr-var-data-in' type='checkbox'><label for='data-e0aaeb9c-8c5c-48f0-9106-592075095f87' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yaxis</span></div><div class='xr-var-dims'>(yaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-8f666134-39dd-4467-ab57-7ac2aca98511' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8f666134-39dd-4467-ab57-7ac2aca98511' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e554e3fb-b359-4426-ae00-eddef40487a6' class='xr-var-data-in' type='checkbox'><label for='data-e554e3fb-b359-4426-ae00-eddef40487a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c65d352f-a2c8-4152-a5e7-c686873b12d9' class='xr-section-summary-in' type='checkbox'  ><label for='section-c65d352f-a2c8-4152-a5e7-c686873b12d9' class='xr-section-summary' >Data variables: <span>(30)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx1996</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e552c124-a9b3-4878-906c-47f1f480be40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e552c124-a9b3-4878-906c-47f1f480be40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef5bb347-cd29-43d4-a2f0-5b262a5a8b8c' class='xr-var-data-in' type='checkbox'><label for='data-ef5bb347-cd29-43d4-a2f0-5b262a5a8b8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy1996</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1a0032bb-ceaa-46d2-bb40-664fe055ce66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a0032bb-ceaa-46d2-bb40-664fe055ce66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba27861b-e70d-4bc7-987b-a2b77b8ceb85' class='xr-var-data-in' type='checkbox'><label for='data-ba27861b-e70d-4bc7-987b-a2b77b8ceb85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err1996</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-339aef04-1509-4ce8-be97-1b3468afab65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-339aef04-1509-4ce8-be97-1b3468afab65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ab0352c-8ad9-4e5c-9232-ac97439e7086' class='xr-var-data-in' type='checkbox'><label for='data-8ab0352c-8ad9-4e5c-9232-ac97439e7086' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2000</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b3c32cd-3854-40c8-b0c4-03d82542ea31' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b3c32cd-3854-40c8-b0c4-03d82542ea31' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77b4545a-4586-4463-9b82-07bde010bc5f' class='xr-var-data-in' type='checkbox'><label for='data-77b4545a-4586-4463-9b82-07bde010bc5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2000</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-663b6381-7050-4080-8826-81595b85d2de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-663b6381-7050-4080-8826-81595b85d2de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aed9ed9d-afc3-4404-abed-11d33e86fa5d' class='xr-var-data-in' type='checkbox'><label for='data-aed9ed9d-afc3-4404-abed-11d33e86fa5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2000</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5ed52ce7-d973-4967-af88-d59d5c4ecc6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ed52ce7-d973-4967-af88-d59d5c4ecc6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2abf3f0-e6a3-43a8-8c74-154d1d4a37cd' class='xr-var-data-in' type='checkbox'><label for='data-b2abf3f0-e6a3-43a8-8c74-154d1d4a37cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2002</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ca071bc3-f124-4bbe-ba2d-3fd223b172d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca071bc3-f124-4bbe-ba2d-3fd223b172d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f7fde8c-a81d-4ccb-b772-919930595748' class='xr-var-data-in' type='checkbox'><label for='data-3f7fde8c-a81d-4ccb-b772-919930595748' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2002</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-19b35a41-86f0-4e62-b62f-d4d672a8d856' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19b35a41-86f0-4e62-b62f-d4d672a8d856' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d967da66-22fa-41da-8fbd-fab6dc1dab3a' class='xr-var-data-in' type='checkbox'><label for='data-d967da66-22fa-41da-8fbd-fab6dc1dab3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2002</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b0473122-1fab-49d0-850c-4e52717ab026' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0473122-1fab-49d0-850c-4e52717ab026' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-029497d5-6832-428f-913e-efc7eca8ad46' class='xr-var-data-in' type='checkbox'><label for='data-029497d5-6832-428f-913e-efc7eca8ad46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2006</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4cc8080-287c-4e4e-995c-fb92527072a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4cc8080-287c-4e4e-995c-fb92527072a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-028cf18a-bc19-4a8a-bba0-015c45f0759f' class='xr-var-data-in' type='checkbox'><label for='data-028cf18a-bc19-4a8a-bba0-015c45f0759f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2006</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6874948c-3e27-467c-841c-eb18624a5961' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6874948c-3e27-467c-841c-eb18624a5961' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-683aeb01-bbb2-483c-9400-fc9f2cdd63dd' class='xr-var-data-in' type='checkbox'><label for='data-683aeb01-bbb2-483c-9400-fc9f2cdd63dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2006</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-42b6aa20-06f3-457e-8df4-70639fe50e91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42b6aa20-06f3-457e-8df4-70639fe50e91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9104652-f2e8-4bdb-8b97-180d2f6c8a0e' class='xr-var-data-in' type='checkbox'><label for='data-b9104652-f2e8-4bdb-8b97-180d2f6c8a0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2007</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9cefb5d9-d82f-4210-8855-773c56d3d4cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cefb5d9-d82f-4210-8855-773c56d3d4cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71e8dbe5-9b93-4a1c-a895-d76fbc6b56b9' class='xr-var-data-in' type='checkbox'><label for='data-71e8dbe5-9b93-4a1c-a895-d76fbc6b56b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2007</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6a12deb9-f439-4f76-8dbf-73ae8bcc122b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a12deb9-f439-4f76-8dbf-73ae8bcc122b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2c9af2d-ce79-4919-896a-39c20d9e14ba' class='xr-var-data-in' type='checkbox'><label for='data-e2c9af2d-ce79-4919-896a-39c20d9e14ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2007</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3b4989df-de83-4fdf-bb04-9ac389e8d84c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b4989df-de83-4fdf-bb04-9ac389e8d84c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-278afae9-076b-4672-961c-8ae351336680' class='xr-var-data-in' type='checkbox'><label for='data-278afae9-076b-4672-961c-8ae351336680' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2008</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-48e8fa76-0352-4f1a-882c-7090ce736cfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48e8fa76-0352-4f1a-882c-7090ce736cfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-479b0cd7-c9b3-4c85-b014-46398a6fea52' class='xr-var-data-in' type='checkbox'><label for='data-479b0cd7-c9b3-4c85-b014-46398a6fea52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2008</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6c956df9-fe2a-4625-8f1f-3f029825da78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c956df9-fe2a-4625-8f1f-3f029825da78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ca1fae4-d361-4604-801b-45ec2ffcb36a' class='xr-var-data-in' type='checkbox'><label for='data-5ca1fae4-d361-4604-801b-45ec2ffcb36a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2008</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4a1a15f1-dfbc-4739-ba81-3b9adb39c125' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a1a15f1-dfbc-4739-ba81-3b9adb39c125' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b7dc863-cdd4-41ad-9244-1408524fc698' class='xr-var-data-in' type='checkbox'><label for='data-4b7dc863-cdd4-41ad-9244-1408524fc698' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2009</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a5f452db-e746-4da6-9ccf-5910f132e401' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a5f452db-e746-4da6-9ccf-5910f132e401' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d35f4a71-d5cb-4ddc-9d7f-5f036a79871d' class='xr-var-data-in' type='checkbox'><label for='data-d35f4a71-d5cb-4ddc-9d7f-5f036a79871d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2009</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c88ba994-ec8d-4523-942b-737da9b3da00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c88ba994-ec8d-4523-942b-737da9b3da00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e1de1ca-b1f2-4eea-aa8e-c391cadbff7e' class='xr-var-data-in' type='checkbox'><label for='data-9e1de1ca-b1f2-4eea-aa8e-c391cadbff7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2009</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3977ab83-9a25-4422-a2e8-1cd45d0e27f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3977ab83-9a25-4422-a2e8-1cd45d0e27f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e45b9a5a-269a-4b2b-99ce-be195daa727a' class='xr-var-data-in' type='checkbox'><label for='data-e45b9a5a-269a-4b2b-99ce-be195daa727a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2010</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-47101345-dfd4-4ca5-bc0c-d04e21f9025d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47101345-dfd4-4ca5-bc0c-d04e21f9025d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4df52042-0bdc-40fd-8998-b015180d709f' class='xr-var-data-in' type='checkbox'><label for='data-4df52042-0bdc-40fd-8998-b015180d709f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2010</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fc15a176-32ee-4f57-b4d2-12c242538000' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc15a176-32ee-4f57-b4d2-12c242538000' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70b47032-09ac-4d7c-b57a-ed1e671d2b69' class='xr-var-data-in' type='checkbox'><label for='data-70b47032-09ac-4d7c-b57a-ed1e671d2b69' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2010</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6626082e-0479-49cc-ba13-9f554419d2f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6626082e-0479-49cc-ba13-9f554419d2f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f84e3354-05fb-4327-8d2d-4df3835bcf3e' class='xr-var-data-in' type='checkbox'><label for='data-f84e3354-05fb-4327-8d2d-4df3835bcf3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2011</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-918194ff-696e-46f3-ad9f-4d631567280b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-918194ff-696e-46f3-ad9f-4d631567280b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfddb9bf-207a-4887-836a-41b5264f6c01' class='xr-var-data-in' type='checkbox'><label for='data-bfddb9bf-207a-4887-836a-41b5264f6c01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2011</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-af8b60b2-ee47-41a9-9078-601b8bf9392a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af8b60b2-ee47-41a9-9078-601b8bf9392a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e0a78d0-ef90-4d10-8ac0-f35f48f5e0cc' class='xr-var-data-in' type='checkbox'><label for='data-6e0a78d0-ef90-4d10-8ac0-f35f48f5e0cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2011</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa909748-d0e2-49c2-8af9-31433e3f5036' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa909748-d0e2-49c2-8af9-31433e3f5036' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-769e4050-c09f-4f34-8a72-fa677d667c9d' class='xr-var-data-in' type='checkbox'><label for='data-769e4050-c09f-4f34-8a72-fa677d667c9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2012</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-22182369-ccd4-4717-bf19-42e907e61dcd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22182369-ccd4-4717-bf19-42e907e61dcd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c6651bf-b52c-4e39-b9fb-b364d979b939' class='xr-var-data-in' type='checkbox'><label for='data-7c6651bf-b52c-4e39-b9fb-b364d979b939' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2012</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-36d0b39e-4361-4a51-8445-5fc74e5f5424' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36d0b39e-4361-4a51-8445-5fc74e5f5424' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dddf04d-5c4d-429f-9f20-da5e608c8269' class='xr-var-data-in' type='checkbox'><label for='data-9dddf04d-5c4d-429f-9f20-da5e608c8269' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2012</span></div><div class='xr-var-dims'>(yaxis, xaxis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2e4f9337-d76d-4c51-8611-5004dabcc608' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e4f9337-d76d-4c51-8611-5004dabcc608' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd7a86c5-2b55-45af-b9dd-cf6be0b1abdb' class='xr-var-data-in' type='checkbox'><label for='data-fd7a86c5-2b55-45af-b9dd-cf6be0b1abdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-459d0fe8-48df-4de7-a8b8-4e36e36bcdeb' class='xr-section-summary-in' type='checkbox'  ><label for='section-459d0fe8-48df-4de7-a8b8-4e36e36bcdeb' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>xaxis</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c3e459b4-b681-49ab-97aa-31d306883ed1' class='xr-index-data-in' type='checkbox'/><label for='index-c3e459b4-b681-49ab-97aa-31d306883ed1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
        -1578700.0, -1578250.0, -1577800.0, -1577350.0,
        ...
        -1360900.0, -1360450.0, -1360000.0, -1359550.0, -1359100.0, -1358650.0,
        -1358200.0, -1357750.0, -1357300.0, -1356850.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;xaxis&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yaxis</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-86132646-c8e5-4071-9091-c010e8402d4c' class='xr-index-data-in' type='checkbox'/><label for='index-86132646-c8e5-4071-9091-c010e8402d4c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;xaxis&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>yaxis</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d794cfd-8946-4e73-afce-e25410f29737' class='xr-index-data-in' type='checkbox'/><label for='index-9d794cfd-8946-4e73-afce-e25410f29737' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
        -700550.0, -700100.0, -699650.0, -699200.0,
        ...
        -347750.0, -347300.0, -346850.0, -346400.0, -345950.0, -345500.0,
        -345050.0, -344600.0, -344150.0, -343700.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;yaxis&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8261d008-b69d-4558-abe7-59b8abbb315f' class='xr-section-summary-in' type='checkbox'  ><label for='section-8261d008-b69d-4558-abe7-59b8abbb315f' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;yaxis&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ff4007bf-563d-44d7-a26f-06c4084b9d38' class='xr-section-summary-in' type='checkbox'  ><label for='section-ff4007bf-563d-44d7-a26f-06c4084b9d38' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Rename <code class="docutils literal notranslate"><span class="pre">yaxis</span></code> and <code class="docutils literal notranslate"><span class="pre">xaxis</span></code> and drop the <code class="docutils literal notranslate"><span class="pre">nx</span></code> and <code class="docutils literal notranslate"><span class="pre">ny</span></code> coordinates:</p>
 <div class="cell docutils container">
@@ -2206,19 +2229,19 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
     Data_citation:        NSIDC Citation Rignot, E., J. Mouginot, and B. Sche...
     More_information:     http://nsidc.org/data/nsidc-0545.html
     Notes_3:                       Data were processed at the Department of E...
-    Description:          Created a spatial subset of original dataset. Selec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bcb17955-fe39-4027-ab32-f4cfbf9fd9aa' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bcb17955-fe39-4027-ab32-f4cfbf9fd9aa' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1d9cb11a-d302-4f6b-adce-a0105dae5e66' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1d9cb11a-d302-4f6b-adce-a0105dae5e66' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-0467f01a-b3bf-4e22-a054-d241af8fe9c5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0467f01a-b3bf-4e22-a054-d241af8fe9c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-035899a5-eabd-410e-b56f-fb6b608cac3b' class='xr-var-data-in' type='checkbox'><label for='data-035899a5-eabd-410e-b56f-fb6b608cac3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-2172b31a-8803-4335-84eb-82b78e57d0d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2172b31a-8803-4335-84eb-82b78e57d0d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42bbc150-4687-48d6-84fa-89b146191bca' class='xr-var-data-in' type='checkbox'><label for='data-42bbc150-4687-48d6-84fa-89b146191bca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9a0903b3-7489-4cad-98e9-1d97cb63f419' class='xr-section-summary-in' type='checkbox'  ><label for='section-9a0903b3-7489-4cad-98e9-1d97cb63f419' class='xr-section-summary' >Data variables: <span>(30)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c27fee9a-8df5-4e97-9721-155d529f1938' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c27fee9a-8df5-4e97-9721-155d529f1938' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baf52da2-ab97-417a-90d4-1d66ab36d2f1' class='xr-var-data-in' type='checkbox'><label for='data-baf52da2-ab97-417a-90d4-1d66ab36d2f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41d881cc-20e3-42e9-83fe-2dbd83b8e761' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41d881cc-20e3-42e9-83fe-2dbd83b8e761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2f89205-931f-4ca4-81a5-b461499c28fb' class='xr-var-data-in' type='checkbox'><label for='data-b2f89205-931f-4ca4-81a5-b461499c28fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d331d55-95d9-4f02-8cae-a3c94829561c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d331d55-95d9-4f02-8cae-a3c94829561c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e3e00a4-5b36-4f60-ad94-02088fadf155' class='xr-var-data-in' type='checkbox'><label for='data-5e3e00a4-5b36-4f60-ad94-02088fadf155' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-02fb4002-907c-47cd-8f86-49fb552537ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02fb4002-907c-47cd-8f86-49fb552537ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9d6837e-567a-4740-b32a-9784fefa2ab2' class='xr-var-data-in' type='checkbox'><label for='data-d9d6837e-567a-4740-b32a-9784fefa2ab2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-326b05cc-faa3-414e-bb1a-3aa3c7cbdab7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-326b05cc-faa3-414e-bb1a-3aa3c7cbdab7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-990494ba-896f-49f1-82d6-c46fe235725e' class='xr-var-data-in' type='checkbox'><label for='data-990494ba-896f-49f1-82d6-c46fe235725e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c8284f97-3235-4959-963a-5325448e44f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8284f97-3235-4959-963a-5325448e44f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-690b470f-f449-41f4-9003-46bb334faa22' class='xr-var-data-in' type='checkbox'><label for='data-690b470f-f449-41f4-9003-46bb334faa22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9711a266-8b94-42c9-9404-5258847c4053' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9711a266-8b94-42c9-9404-5258847c4053' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68b6cb49-dfa8-4704-a93f-6bc9dce25aad' class='xr-var-data-in' type='checkbox'><label for='data-68b6cb49-dfa8-4704-a93f-6bc9dce25aad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ec32995c-dcff-4b5a-81d3-e729ad08a11c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec32995c-dcff-4b5a-81d3-e729ad08a11c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0aa2e201-abbd-4f46-9382-1233e51a4420' class='xr-var-data-in' type='checkbox'><label for='data-0aa2e201-abbd-4f46-9382-1233e51a4420' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e62c6500-35d3-4ba8-b0d1-1fef839defaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e62c6500-35d3-4ba8-b0d1-1fef839defaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0701f061-be42-4aaf-a48e-65ce87a5e0b4' class='xr-var-data-in' type='checkbox'><label for='data-0701f061-be42-4aaf-a48e-65ce87a5e0b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5b8eebf3-7655-4624-abf8-9999ece3d541' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b8eebf3-7655-4624-abf8-9999ece3d541' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a327023-ee7d-460c-9510-e95b3c291c44' class='xr-var-data-in' type='checkbox'><label for='data-5a327023-ee7d-460c-9510-e95b3c291c44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-40c47c2a-5a8b-4718-ad91-566014e81d0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40c47c2a-5a8b-4718-ad91-566014e81d0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62346971-f358-493d-94ef-adf664fec543' class='xr-var-data-in' type='checkbox'><label for='data-62346971-f358-493d-94ef-adf664fec543' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92a2440a-3061-4a90-8ac1-2db162056044' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92a2440a-3061-4a90-8ac1-2db162056044' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f89dca6e-3e59-446e-bb65-69c13de48956' class='xr-var-data-in' type='checkbox'><label for='data-f89dca6e-3e59-446e-bb65-69c13de48956' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-58ee830a-6d96-4c57-8943-ef4813b5fca2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58ee830a-6d96-4c57-8943-ef4813b5fca2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d6ea570-9114-4e9f-be7e-4512023cdc6a' class='xr-var-data-in' type='checkbox'><label for='data-6d6ea570-9114-4e9f-be7e-4512023cdc6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2d117536-f93c-4bf9-b825-c441e80db5b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d117536-f93c-4bf9-b825-c441e80db5b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e28849a5-8775-43c1-8105-ea8c24bd1b94' class='xr-var-data-in' type='checkbox'><label for='data-e28849a5-8775-43c1-8105-ea8c24bd1b94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-67a11fed-913c-4b9c-b2db-6a47746ff5a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67a11fed-913c-4b9c-b2db-6a47746ff5a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35dd7947-dcc1-4d81-b221-8ffbde90d19c' class='xr-var-data-in' type='checkbox'><label for='data-35dd7947-dcc1-4d81-b221-8ffbde90d19c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f603063d-8fbe-452d-87ee-26d56f08de64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f603063d-8fbe-452d-87ee-26d56f08de64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecc5568c-593a-4030-936c-14fd831d3f75' class='xr-var-data-in' type='checkbox'><label for='data-ecc5568c-593a-4030-936c-14fd831d3f75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6cf120a-d145-484f-a944-eb6431aec044' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6cf120a-d145-484f-a944-eb6431aec044' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c677382-da53-4459-9821-0f4e071add00' class='xr-var-data-in' type='checkbox'><label for='data-4c677382-da53-4459-9821-0f4e071add00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c86a941f-e6e2-4098-84e4-ad727553708d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c86a941f-e6e2-4098-84e4-ad727553708d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bdf84a8-4cc8-41b8-93d2-1cc9463f98cf' class='xr-var-data-in' type='checkbox'><label for='data-8bdf84a8-4cc8-41b8-93d2-1cc9463f98cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-30ffc5a2-bd8d-482e-9c26-61fde28eab21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30ffc5a2-bd8d-482e-9c26-61fde28eab21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e24593fe-1b9f-4757-9ea2-e0865ed73713' class='xr-var-data-in' type='checkbox'><label for='data-e24593fe-1b9f-4757-9ea2-e0865ed73713' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1ffb56ba-9e08-49cb-b02b-ed1bdc359c78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ffb56ba-9e08-49cb-b02b-ed1bdc359c78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38b1334d-ed5e-42d3-b8b8-046ea136b0ce' class='xr-var-data-in' type='checkbox'><label for='data-38b1334d-ed5e-42d3-b8b8-046ea136b0ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c936e197-70f4-4afd-9fe9-25407dfee223' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c936e197-70f4-4afd-9fe9-25407dfee223' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-804d9052-d534-419e-a38d-c5edbabc38e9' class='xr-var-data-in' type='checkbox'><label for='data-804d9052-d534-419e-a38d-c5edbabc38e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a6e9f672-5ed7-460a-909e-ba00a2078cc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6e9f672-5ed7-460a-909e-ba00a2078cc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-547d764f-a6e1-4b1e-b9b7-3ed07a68caff' class='xr-var-data-in' type='checkbox'><label for='data-547d764f-a6e1-4b1e-b9b7-3ed07a68caff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa9c7d6b-e2a0-4f14-a169-987bb6838041' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa9c7d6b-e2a0-4f14-a169-987bb6838041' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e12f3268-d9ce-4122-b6dd-54645332ae4b' class='xr-var-data-in' type='checkbox'><label for='data-e12f3268-d9ce-4122-b6dd-54645332ae4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a911fa00-bf36-463e-8e2c-28117e9e5340' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a911fa00-bf36-463e-8e2c-28117e9e5340' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20a1552b-67a5-444b-87cf-647cf8aa6bbf' class='xr-var-data-in' type='checkbox'><label for='data-20a1552b-67a5-444b-87cf-647cf8aa6bbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-96d4945f-3d90-437a-99f6-44b4600c1eda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96d4945f-3d90-437a-99f6-44b4600c1eda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91743d8c-3c46-4032-83a3-b9ed01c823d6' class='xr-var-data-in' type='checkbox'><label for='data-91743d8c-3c46-4032-83a3-b9ed01c823d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-14b6aeae-093d-46a4-a99e-7735a9cadcf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14b6aeae-093d-46a4-a99e-7735a9cadcf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8aba74c3-16e0-496a-bd04-0fce10aa7b1b' class='xr-var-data-in' type='checkbox'><label for='data-8aba74c3-16e0-496a-bd04-0fce10aa7b1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d43b4cac-aeb0-46d0-a10b-cc511734456a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d43b4cac-aeb0-46d0-a10b-cc511734456a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5c027c8-112d-435e-8b34-56be5100d3d7' class='xr-var-data-in' type='checkbox'><label for='data-c5c027c8-112d-435e-8b34-56be5100d3d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7b3d2df4-6aef-46e5-8131-2acc9e754846' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b3d2df4-6aef-46e5-8131-2acc9e754846' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2444a48-e224-4b5a-b262-c17a8a66b0b6' class='xr-var-data-in' type='checkbox'><label for='data-f2444a48-e224-4b5a-b262-c17a8a66b0b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0c2bef2e-82b1-4627-9b1b-f43c7decbb21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c2bef2e-82b1-4627-9b1b-f43c7decbb21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2279152-3fef-42a3-b87f-d3583a711883' class='xr-var-data-in' type='checkbox'><label for='data-f2279152-3fef-42a3-b87f-d3583a711883' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa13fcf1-5705-4bc5-8ee0-9e41fb48f45a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa13fcf1-5705-4bc5-8ee0-9e41fb48f45a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c646123-786c-4619-a2f6-124ed085187a' class='xr-var-data-in' type='checkbox'><label for='data-8c646123-786c-4619-a2f6-124ed085187a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ca63cddc-81dd-4b7a-b8a5-4f34483c2672' class='xr-section-summary-in' type='checkbox'  ><label for='section-ca63cddc-81dd-4b7a-b8a5-4f34483c2672' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fd9cbf59-5166-49be-a820-403887cce500' class='xr-index-data-in' type='checkbox'/><label for='index-fd9cbf59-5166-49be-a820-403887cce500' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
+    Description:          Created a spatial subset of original dataset. Selec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0def73b1-7557-4ef3-9923-1c2983130cc5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0def73b1-7557-4ef3-9923-1c2983130cc5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2bd44c6e-1de6-4033-9412-982be9e2e244' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2bd44c6e-1de6-4033-9412-982be9e2e244' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-7594da76-dc23-43c4-ae71-9e3922ff0491' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7594da76-dc23-43c4-ae71-9e3922ff0491' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60fd8c3d-965e-44f5-b770-a2d12e9f4689' class='xr-var-data-in' type='checkbox'><label for='data-60fd8c3d-965e-44f5-b770-a2d12e9f4689' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-519975e2-ceb8-40e0-9492-5f3f44fb2b5e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-519975e2-ceb8-40e0-9492-5f3f44fb2b5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21e44e85-117c-4382-ada4-212fb7d8476a' class='xr-var-data-in' type='checkbox'><label for='data-21e44e85-117c-4382-ada4-212fb7d8476a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-324555d4-460b-4383-9154-bfcfdaf5e705' class='xr-section-summary-in' type='checkbox'  ><label for='section-324555d4-460b-4383-9154-bfcfdaf5e705' class='xr-section-summary' >Data variables: <span>(30)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-60721155-b6ae-4bba-8cae-ded1bdaa40a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60721155-b6ae-4bba-8cae-ded1bdaa40a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e882f185-13a3-4e3d-84cb-7a0bcee9adeb' class='xr-var-data-in' type='checkbox'><label for='data-e882f185-13a3-4e3d-84cb-7a0bcee9adeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-164b822a-79de-49d2-b9af-7250cb6d6a6f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-164b822a-79de-49d2-b9af-7250cb6d6a6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-feef8a3a-8697-4386-af1a-97bc0c0ae4fc' class='xr-var-data-in' type='checkbox'><label for='data-feef8a3a-8697-4386-af1a-97bc0c0ae4fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err1996</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c80c2531-a82e-4228-a603-e5d1de3b1b16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c80c2531-a82e-4228-a603-e5d1de3b1b16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34dfafa7-2044-4415-b086-76af960e5c76' class='xr-var-data-in' type='checkbox'><label for='data-34dfafa7-2044-4415-b086-76af960e5c76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e7208459-572d-4570-8137-3a8312914b3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7208459-572d-4570-8137-3a8312914b3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fcbe83a-4002-4704-9c8e-81a4c3521f7c' class='xr-var-data-in' type='checkbox'><label for='data-6fcbe83a-4002-4704-9c8e-81a4c3521f7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-33e7e9f3-c16e-4922-9f3a-ba88f0de916d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33e7e9f3-c16e-4922-9f3a-ba88f0de916d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8416450-5bad-4e6b-92fd-92958c9f08b1' class='xr-var-data-in' type='checkbox'><label for='data-d8416450-5bad-4e6b-92fd-92958c9f08b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2000</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6f7abf96-d294-457f-be0b-cd889433617e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f7abf96-d294-457f-be0b-cd889433617e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fd26a4a-0d3c-4e66-9349-c817de971ba6' class='xr-var-data-in' type='checkbox'><label for='data-9fd26a4a-0d3c-4e66-9349-c817de971ba6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3beeaf02-78a5-4804-81f3-70ac5dc07541' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3beeaf02-78a5-4804-81f3-70ac5dc07541' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b726436-225c-431c-860f-13f1e456b71f' class='xr-var-data-in' type='checkbox'><label for='data-0b726436-225c-431c-860f-13f1e456b71f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e21f1c4c-8c92-471b-b963-173514f97b70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e21f1c4c-8c92-471b-b963-173514f97b70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbf41f38-76e7-4a71-ae84-f97aea097c76' class='xr-var-data-in' type='checkbox'><label for='data-cbf41f38-76e7-4a71-ae84-f97aea097c76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2002</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-79320064-17a5-4ffd-afd2-e964c5272b00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79320064-17a5-4ffd-afd2-e964c5272b00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c52becf7-e4c8-4076-8308-ad4f336c5721' class='xr-var-data-in' type='checkbox'><label for='data-c52becf7-e4c8-4076-8308-ad4f336c5721' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d451a0f7-2963-439e-883f-8e022387b231' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d451a0f7-2963-439e-883f-8e022387b231' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa9b9116-f74e-4a3b-8a0c-fc33028f7cca' class='xr-var-data-in' type='checkbox'><label for='data-aa9b9116-f74e-4a3b-8a0c-fc33028f7cca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-92156a8c-ea05-4085-8f63-f2de24dc5d40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92156a8c-ea05-4085-8f63-f2de24dc5d40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3bc3208-e29c-44a0-9638-62981363ae21' class='xr-var-data-in' type='checkbox'><label for='data-e3bc3208-e29c-44a0-9638-62981363ae21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2006</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-aa01fd1c-573e-4255-99e6-dedbcae7b2df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa01fd1c-573e-4255-99e6-dedbcae7b2df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51de1288-7072-4563-8461-ab5a6736f399' class='xr-var-data-in' type='checkbox'><label for='data-51de1288-7072-4563-8461-ab5a6736f399' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a967d9fb-a66e-41f5-aece-7b0e06cc8b65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a967d9fb-a66e-41f5-aece-7b0e06cc8b65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6796eec5-3c4a-4e8b-9b47-74b0e6d9baba' class='xr-var-data-in' type='checkbox'><label for='data-6796eec5-3c4a-4e8b-9b47-74b0e6d9baba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-faa968b8-3976-490e-a38f-fd5877e7cca6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-faa968b8-3976-490e-a38f-fd5877e7cca6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d42926e8-4911-4584-814c-b9f5c9b649c5' class='xr-var-data-in' type='checkbox'><label for='data-d42926e8-4911-4584-814c-b9f5c9b649c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2007</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e803e7f-ab80-4906-bd20-ab457fdf55d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e803e7f-ab80-4906-bd20-ab457fdf55d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-473b5eea-9dc9-48d6-805a-3988597d947b' class='xr-var-data-in' type='checkbox'><label for='data-473b5eea-9dc9-48d6-805a-3988597d947b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fa216d50-7b24-40db-aa67-55b333f08c9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa216d50-7b24-40db-aa67-55b333f08c9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a686861-78d1-4a4c-9b89-af75107d1e6d' class='xr-var-data-in' type='checkbox'><label for='data-1a686861-78d1-4a4c-9b89-af75107d1e6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f951dddf-3e75-4a83-8e49-328a16bea862' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f951dddf-3e75-4a83-8e49-328a16bea862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-876ac0ec-dbf7-4456-a7ed-2064123a7fed' class='xr-var-data-in' type='checkbox'><label for='data-876ac0ec-dbf7-4456-a7ed-2064123a7fed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2008</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-29ec2082-c5f8-440b-b3b8-686c78be03a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29ec2082-c5f8-440b-b3b8-686c78be03a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c681bafb-e00b-4cb9-bbee-5bd316e8c85b' class='xr-var-data-in' type='checkbox'><label for='data-c681bafb-e00b-4cb9-bbee-5bd316e8c85b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4953af2-3d86-4547-90bd-0c83234c0dec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4953af2-3d86-4547-90bd-0c83234c0dec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5db8e6c-741f-4015-b528-9acb3557dd43' class='xr-var-data-in' type='checkbox'><label for='data-f5db8e6c-741f-4015-b528-9acb3557dd43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c7978c3d-4a0c-4adb-8ca0-5b4281f1c312' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7978c3d-4a0c-4adb-8ca0-5b4281f1c312' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7816aa18-8836-4272-b9ed-433bd9dcf3bc' class='xr-var-data-in' type='checkbox'><label for='data-7816aa18-8836-4272-b9ed-433bd9dcf3bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2009</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5bf98afa-917d-4e20-93e6-31a8f6a64a90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bf98afa-917d-4e20-93e6-31a8f6a64a90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2defb73-379e-4098-939e-833022071b68' class='xr-var-data-in' type='checkbox'><label for='data-f2defb73-379e-4098-939e-833022071b68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-135fabd2-9f2f-4c2c-b392-67f8dc102d91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-135fabd2-9f2f-4c2c-b392-67f8dc102d91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49d640fc-4eba-4fe3-9c0a-b898cab1295a' class='xr-var-data-in' type='checkbox'><label for='data-49d640fc-4eba-4fe3-9c0a-b898cab1295a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9b15a478-d382-40b2-8db5-3e5581353fb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b15a478-d382-40b2-8db5-3e5581353fb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ccb8146-ba29-4d33-a2ea-0254c41925d5' class='xr-var-data-in' type='checkbox'><label for='data-2ccb8146-ba29-4d33-a2ea-0254c41925d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2010</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5a491be0-74ab-4bac-aede-f06978fdf390' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a491be0-74ab-4bac-aede-f06978fdf390' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9a3e255-8824-43eb-9249-2329da9a89e3' class='xr-var-data-in' type='checkbox'><label for='data-c9a3e255-8824-43eb-9249-2329da9a89e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-266c7e48-1f32-4e33-a33e-61e341473c4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-266c7e48-1f32-4e33-a33e-61e341473c4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a800984-bfe5-406a-ba9c-9cadc4ddc41f' class='xr-var-data-in' type='checkbox'><label for='data-1a800984-bfe5-406a-ba9c-9cadc4ddc41f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2fff6bd6-afe9-4ab9-ab0c-f0bf9d50a275' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fff6bd6-afe9-4ab9-ab0c-f0bf9d50a275' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07e1a5a8-00ff-4682-98d4-b8cb037f303a' class='xr-var-data-in' type='checkbox'><label for='data-07e1a5a8-00ff-4682-98d4-b8cb037f303a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2011</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-70a3d788-185b-4050-aeba-3b89acbd015b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70a3d788-185b-4050-aeba-3b89acbd015b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b076154-378e-4ad7-84b8-2ef96c97f114' class='xr-var-data-in' type='checkbox'><label for='data-7b076154-378e-4ad7-84b8-2ef96c97f114' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vx2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0b52fb3-9361-4e21-a414-1e4e6b81b59d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0b52fb3-9361-4e21-a414-1e4e6b81b59d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9967ade-4b70-4d35-80d6-2c9ba0873fc8' class='xr-var-data-in' type='checkbox'><label for='data-a9967ade-4b70-4d35-80d6-2c9ba0873fc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d89001e4-2220-4a35-a72d-1d10ddebb69f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d89001e4-2220-4a35-a72d-1d10ddebb69f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff76460a-7e43-4f24-9142-0fa0826b4cf9' class='xr-var-data-in' type='checkbox'><label for='data-ff76460a-7e43-4f24-9142-0fa0826b4cf9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err2012</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fecddbb4-7029-4455-a773-5c3e344c50c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fecddbb4-7029-4455-a773-5c3e344c50c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af7f552f-f72f-4e5a-bb69-0f9787411ea4' class='xr-var-data-in' type='checkbox'><label for='data-af7f552f-f72f-4e5a-bb69-0f9787411ea4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>[400000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ada713bd-85a6-4c08-aa76-3bfeabaa78d5' class='xr-section-summary-in' type='checkbox'  ><label for='section-ada713bd-85a6-4c08-aa76-3bfeabaa78d5' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-19dbdc02-1d4e-46c8-8e7c-87fc01adc565' class='xr-index-data-in' type='checkbox'/><label for='index-19dbdc02-1d4e-46c8-8e7c-87fc01adc565' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
        -1578700.0, -1578250.0, -1577800.0, -1577350.0,
        ...
        -1360900.0, -1360450.0, -1360000.0, -1359550.0, -1359100.0, -1358650.0,
        -1358200.0, -1357750.0, -1357300.0, -1356850.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-96f20dbd-0c85-4d46-a88b-afe8e83a7f2f' class='xr-index-data-in' type='checkbox'/><label for='index-96f20dbd-0c85-4d46-a88b-afe8e83a7f2f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6af05d02-1223-4b5b-a22a-cad93144f827' class='xr-index-data-in' type='checkbox'/><label for='index-6af05d02-1223-4b5b-a22a-cad93144f827' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
        -700550.0, -700100.0, -699650.0, -699200.0,
        ...
        -347750.0, -347300.0, -346850.0, -346400.0, -345950.0, -345500.0,
        -345050.0, -344600.0, -344150.0, -343700.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e3e87f0-610b-42d0-afde-952cc9a120f2' class='xr-section-summary-in' type='checkbox'  ><label for='section-6e3e87f0-610b-42d0-afde-952cc9a120f2' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-15e35ef7-183f-4efe-bf90-9792a94a409f' class='xr-section-summary-in' type='checkbox'  ><label for='section-15e35ef7-183f-4efe-bf90-9792a94a409f' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Now we have x and y coordinates and 30 data variables. However, the <code class="docutils literal notranslate"><span class="pre">data_vars</span></code> are really only 3 unique variables that exist along a time dimension (with a length of 10).
 We want to add a time dimension to the dataset and concatenate the data variables in each of the three groups together.</p>
@@ -2629,19 +2652,19 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
   * y        (y) float32 -7.032e+05 -7.028e+05 ... -3.442e+05 -3.437e+05
 Attributes:
     Content:  Ice velocity in x direction
-    Units:      meter/year</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'vx1996'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f6ce65a6-3f86-46e1-9ec0-acfc3009c265' class='xr-array-in' type='checkbox' checked><label for='section-f6ce65a6-3f86-46e1-9ec0-acfc3009c265' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[400000 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-a6236e96-b51b-45f6-afff-17b683d9b1be' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6236e96-b51b-45f6-afff-17b683d9b1be' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-fd5e17e3-b56c-4d73-89da-a0d02e7b6c84' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd5e17e3-b56c-4d73-89da-a0d02e7b6c84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3927750-46e7-4a78-9b6c-1025df9043de' class='xr-var-data-in' type='checkbox'><label for='data-d3927750-46e7-4a78-9b6c-1025df9043de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-ccf571e0-9b45-442f-afa6-3f6ba22b8875' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ccf571e0-9b45-442f-afa6-3f6ba22b8875' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dce745fb-4c71-4903-9757-952e10319301' class='xr-var-data-in' type='checkbox'><label for='data-dce745fb-4c71-4903-9757-952e10319301' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b12d2438-f2b5-42ca-9650-84740c8359ad' class='xr-section-summary-in' type='checkbox'  ><label for='section-b12d2438-f2b5-42ca-9650-84740c8359ad' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-22ce8f63-e265-4aba-b77b-227c29bc006d' class='xr-index-data-in' type='checkbox'/><label for='index-22ce8f63-e265-4aba-b77b-227c29bc006d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
+    Units:      meter/year</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'vx1996'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b6c4203a-ff26-4d68-89c4-be556a4ab07f' class='xr-array-in' type='checkbox' checked><label for='section-b6c4203a-ff26-4d68-89c4-be556a4ab07f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[400000 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-e2763159-0d68-4f79-8820-6fea2fcacf1f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e2763159-0d68-4f79-8820-6fea2fcacf1f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-2363ebc3-e928-4c01-a784-6ad6154487b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2363ebc3-e928-4c01-a784-6ad6154487b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ba586ff-8c5b-4e46-9d78-77e89b735b96' class='xr-var-data-in' type='checkbox'><label for='data-9ba586ff-8c5b-4e46-9d78-77e89b735b96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-7710a02d-e346-491f-b189-00542938bb14' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7710a02d-e346-491f-b189-00542938bb14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a998dabf-9159-4aea-8cc5-b22832ba418e' class='xr-var-data-in' type='checkbox'><label for='data-a998dabf-9159-4aea-8cc5-b22832ba418e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b94a9e51-7dd7-44b4-8696-3d97567ce83d' class='xr-section-summary-in' type='checkbox'  ><label for='section-b94a9e51-7dd7-44b4-8696-3d97567ce83d' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f2b028e3-58f0-4fab-8add-72758377d6ae' class='xr-index-data-in' type='checkbox'/><label for='index-f2b028e3-58f0-4fab-8add-72758377d6ae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
        -1578700.0, -1578250.0, -1577800.0, -1577350.0,
        ...
        -1360900.0, -1360450.0, -1360000.0, -1359550.0, -1359100.0, -1358650.0,
        -1358200.0, -1357750.0, -1357300.0, -1356850.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-904c72a6-ab4b-44ee-a64e-843affbd00e4' class='xr-index-data-in' type='checkbox'/><label for='index-904c72a6-ab4b-44ee-a64e-843affbd00e4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5dad47c6-bfed-4a3a-8b69-53d74011d666' class='xr-index-data-in' type='checkbox'/><label for='index-5dad47c6-bfed-4a3a-8b69-53d74011d666' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
        -700550.0, -700100.0, -699650.0, -699200.0,
        ...
        -347750.0, -347300.0, -346850.0, -346400.0, -345950.0, -345500.0,
        -345050.0, -344600.0, -344150.0, -343700.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c16f8917-4e00-49fa-bbef-67033e762223' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c16f8917-4e00-49fa-bbef-67033e762223' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-680bca41-ddff-49e0-ac06-74f70a0bf1ec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-680bca41-ddff-49e0-ac06-74f70a0bf1ec' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>next, we will add a time dimension to every element of <code class="docutils literal notranslate"><span class="pre">da_vx_ls</span></code>:</p>
 <div class="cell docutils container">
@@ -3042,7 +3065,7 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
 Dimensions without coordinates: time
 Attributes:
     Content:  Ice velocity in x direction
-    Units:      meter/year</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'vx1996'</div><ul class='xr-dim-list'><li><span>time</span>: 1</li><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c0967552-509f-4c62-ae05-ac1577147aa9' class='xr-array-in' type='checkbox' checked><label for='section-c0967552-509f-4c62-ae05-ac1577147aa9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan ... -53.09 -53.95 -54.25 -54.61 -55.12 -54.7</span></div><div class='xr-array-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,
+    Units:      meter/year</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'vx1996'</div><ul class='xr-dim-list'><li><span>time</span>: 1</li><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b7f0a0de-c91a-4628-8e3e-1e5a5b53ca3f' class='xr-array-in' type='checkbox' checked><label for='section-b7f0a0de-c91a-4628-8e3e-1e5a5b53ca3f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan ... -53.09 -53.95 -54.25 -54.61 -55.12 -54.7</span></div><div class='xr-array-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
         [         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
@@ -3054,19 +3077,19 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
         [  8.298822  ,  15.363108  ,   0.68973774, ..., -55.069824  ,
          -54.748978  , -54.98798   ],
         [  9.707195  ,  10.79028   ,  -6.217383  , ..., -54.61062   ,
-         -55.119358  , -54.695946  ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6506acfc-c7c9-47f2-9c01-cbf70b78cf5f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6506acfc-c7c9-47f2-9c01-cbf70b78cf5f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-b7ca5cd2-a59d-4603-bde4-2788ec9b8a81' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b7ca5cd2-a59d-4603-bde4-2788ec9b8a81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0c4ee07-496b-46f7-8ab0-f8f3802b7274' class='xr-var-data-in' type='checkbox'><label for='data-a0c4ee07-496b-46f7-8ab0-f8f3802b7274' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-1e4bf04f-6dcf-450a-9a18-ade4a6cefc29' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1e4bf04f-6dcf-450a-9a18-ade4a6cefc29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f77989f-9364-4b99-aea7-e5d69b03a233' class='xr-var-data-in' type='checkbox'><label for='data-9f77989f-9364-4b99-aea7-e5d69b03a233' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68a63129-5bc1-49fd-963f-0303327e890b' class='xr-section-summary-in' type='checkbox'  ><label for='section-68a63129-5bc1-49fd-963f-0303327e890b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bac7c5c8-e3c0-4468-817b-80f0beb91084' class='xr-index-data-in' type='checkbox'/><label for='index-bac7c5c8-e3c0-4468-817b-80f0beb91084' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
+         -55.119358  , -54.695946  ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-22bca432-9eb5-4676-81b5-6e3c9704b00d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-22bca432-9eb5-4676-81b5-6e3c9704b00d' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-e9d701e3-748a-40d4-b5f0-78ce8d4e34e0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9d701e3-748a-40d4-b5f0-78ce8d4e34e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5794830c-a738-44c4-8038-17fcaf7cdc9d' class='xr-var-data-in' type='checkbox'><label for='data-5794830c-a738-44c4-8038-17fcaf7cdc9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-dfd33a8b-8dcb-46be-ae29-8609169ed835' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dfd33a8b-8dcb-46be-ae29-8609169ed835' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f594d89-ce79-43d2-b852-b52ac6e53a8e' class='xr-var-data-in' type='checkbox'><label for='data-8f594d89-ce79-43d2-b852-b52ac6e53a8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ed30c69-f50a-42a3-b615-b29cade03565' class='xr-section-summary-in' type='checkbox'  ><label for='section-7ed30c69-f50a-42a3-b615-b29cade03565' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ac079447-f378-495e-bd13-a0a36d4558d5' class='xr-index-data-in' type='checkbox'/><label for='index-ac079447-f378-495e-bd13-a0a36d4558d5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
        -1578700.0, -1578250.0, -1577800.0, -1577350.0,
        ...
        -1360900.0, -1360450.0, -1360000.0, -1359550.0, -1359100.0, -1358650.0,
        -1358200.0, -1357750.0, -1357300.0, -1356850.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-075d00e9-0daf-4b0b-af15-50c8ebbb3a58' class='xr-index-data-in' type='checkbox'/><label for='index-075d00e9-0daf-4b0b-af15-50c8ebbb3a58' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-05bc8685-db3f-4248-b95a-c5e03f9e0fff' class='xr-index-data-in' type='checkbox'/><label for='index-05bc8685-db3f-4248-b95a-c5e03f9e0fff' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
        -700550.0, -700100.0, -699650.0, -699200.0,
        ...
        -347750.0, -347300.0, -346850.0, -346400.0, -345950.0, -345500.0,
        -345050.0, -344600.0, -344150.0, -343700.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-05c5502b-2d39-4da9-b2b9-9f81b0b11bfc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05c5502b-2d39-4da9-b2b9-9f81b0b11bfc' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc91fd51-3fce-4e8d-9bee-9055fefc748a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fc91fd51-3fce-4e8d-9bee-9055fefc748a' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Assign time as a coordinate to each <code class="docutils literal notranslate"><span class="pre">xr.DataArray</span></code> in the list:</p>
 <div class="cell docutils container">
@@ -3460,7 +3483,7 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
   * time     (time) int64 1996
 Attributes:
     Content:  Ice velocity in x direction
-    Units:      meter/year</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'vx1996'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2ddc85a9-a2ee-4664-9d47-7cc86e2868b6' class='xr-array-in' type='checkbox' checked><label for='section-2ddc85a9-a2ee-4664-9d47-7cc86e2868b6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan ... -53.09 -53.95 -54.25 -54.61 -55.12 -54.7</span></div><div class='xr-array-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,
+    Units:      meter/year</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'vx1996'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-336035ab-33d9-4ad4-a953-0e5470c54ea6' class='xr-array-in' type='checkbox' checked><label for='section-336035ab-33d9-4ad4-a953-0e5470c54ea6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan ... -53.09 -53.95 -54.25 -54.61 -55.12 -54.7</span></div><div class='xr-array-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
         [         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
@@ -3472,19 +3495,19 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
         [  8.298822  ,  15.363108  ,   0.68973774, ..., -55.069824  ,
          -54.748978  , -54.98798   ],
         [  9.707195  ,  10.79028   ,  -6.217383  , ..., -54.61062   ,
-         -55.119358  , -54.695946  ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-038cb43d-a434-45e2-90b6-feb26c273190' class='xr-section-summary-in' type='checkbox'  checked><label for='section-038cb43d-a434-45e2-90b6-feb26c273190' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-63a528c3-643a-4935-a467-4670ab97b038' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63a528c3-643a-4935-a467-4670ab97b038' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4f5a192-3013-4377-b5e5-c069f4dabe68' class='xr-var-data-in' type='checkbox'><label for='data-f4f5a192-3013-4377-b5e5-c069f4dabe68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-9d1075ed-cca4-4a09-9d97-9a4d0fdb5286' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9d1075ed-cca4-4a09-9d97-9a4d0fdb5286' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b41e0091-166e-4d5d-8753-aea4fe913dbe' class='xr-var-data-in' type='checkbox'><label for='data-b41e0091-166e-4d5d-8753-aea4fe913dbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1996</div><input id='attrs-97e32efe-4343-49e3-afb9-6ec0ee9bef5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-97e32efe-4343-49e3-afb9-6ec0ee9bef5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8686f0f9-7895-44d4-be05-a35f57596ad7' class='xr-var-data-in' type='checkbox'><label for='data-8686f0f9-7895-44d4-be05-a35f57596ad7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1996])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b7aa201b-c529-48a5-8d4e-96f39fe676c3' class='xr-section-summary-in' type='checkbox'  ><label for='section-b7aa201b-c529-48a5-8d4e-96f39fe676c3' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e5a15d5a-f225-49f6-99eb-69107689f037' class='xr-index-data-in' type='checkbox'/><label for='index-e5a15d5a-f225-49f6-99eb-69107689f037' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
+         -55.119358  , -54.695946  ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b1be25cc-2eea-43bb-bb39-297951902589' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b1be25cc-2eea-43bb-bb39-297951902589' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-78ed3d05-0f28-4851-b327-145c7a22511b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78ed3d05-0f28-4851-b327-145c7a22511b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b287a24-86a3-4176-a03c-b9a7853e95fc' class='xr-var-data-in' type='checkbox'><label for='data-3b287a24-86a3-4176-a03c-b9a7853e95fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-4e9a38d4-3862-4d61-b408-4a2b945e798b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e9a38d4-3862-4d61-b408-4a2b945e798b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59408c69-b3c8-40d6-908d-efc38149fe6b' class='xr-var-data-in' type='checkbox'><label for='data-59408c69-b3c8-40d6-908d-efc38149fe6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1996</div><input id='attrs-eb2b15a0-cd91-44f3-ad19-e622f3300598' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eb2b15a0-cd91-44f3-ad19-e622f3300598' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f26922df-d9e4-4d00-9d4c-8fdc2a7422a3' class='xr-var-data-in' type='checkbox'><label for='data-f26922df-d9e4-4d00-9d4c-8fdc2a7422a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1996])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-27ebe02e-fee3-4840-8132-562c4f73f613' class='xr-section-summary-in' type='checkbox'  ><label for='section-27ebe02e-fee3-4840-8132-562c4f73f613' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fca539f8-fa6e-408d-b5ec-9fab65b852f9' class='xr-index-data-in' type='checkbox'/><label for='index-fca539f8-fa6e-408d-b5ec-9fab65b852f9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
        -1578700.0, -1578250.0, -1577800.0, -1577350.0,
        ...
        -1360900.0, -1360450.0, -1360000.0, -1359550.0, -1359100.0, -1358650.0,
        -1358200.0, -1357750.0, -1357300.0, -1356850.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eaab6543-45b8-46f2-b8a9-c72535157a27' class='xr-index-data-in' type='checkbox'/><label for='index-eaab6543-45b8-46f2-b8a9-c72535157a27' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-783e9fff-6ffd-4101-a273-037c5cacdeee' class='xr-index-data-in' type='checkbox'/><label for='index-783e9fff-6ffd-4101-a273-037c5cacdeee' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
        -700550.0, -700100.0, -699650.0, -699200.0,
        ...
        -347750.0, -347300.0, -346850.0, -346400.0, -345950.0, -345500.0,
        -345050.0, -344600.0, -344150.0, -343700.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-01bc168c-e673-404f-a69b-31a3f7b17558' class='xr-index-data-in' type='checkbox'/><label for='index-01bc168c-e673-404f-a69b-31a3f7b17558' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1996], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8100cf5b-a409-42aa-b84b-9c04b62ca06d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8100cf5b-a409-42aa-b84b-9c04b62ca06d' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-047b0290-ece6-456f-aa10-44675cc91445' class='xr-index-data-in' type='checkbox'/><label for='index-047b0290-ece6-456f-aa10-44675cc91445' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1996], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a46b60a5-7d9b-4f5f-bb43-8376c72f8819' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a46b60a5-7d9b-4f5f-bb43-8376c72f8819' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Time is now a coordinate as well as a dimension and the coordinate value corresponds to the element-order of the list, ie. the first (0-place) element of <code class="docutils literal notranslate"><span class="pre">da_vx_ls_test</span></code> is the <code class="docutils literal notranslate"><span class="pre">xr.DataArray</span></code> containing the <code class="docutils literal notranslate"><span class="pre">vx1996</span></code> variable, and the <code class="docutils literal notranslate"><span class="pre">time</span></code> coord is 0. In the second (1-place) element, the <code class="docutils literal notranslate"><span class="pre">xr.DataArray</span></code> is called <code class="docutils literal notranslate"><span class="pre">vx2000</span></code> and the <code class="docutils literal notranslate"><span class="pre">time</span></code> coord is 1.</p>
 <p>Finally, we will rename the <code class="docutils literal notranslate"><span class="pre">xr.DataArrays</span></code> to reflect just the variable name, rather than the year, because that is now referenced in the time coordinate.</p>
@@ -3885,7 +3908,7 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
   * time     (time) int64 2002
 Attributes:
     Content:  Ice velocity in x direction
-    Units:      meter/year</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'vx'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b07ed524-c2df-4c7d-8f07-7e64484f7373' class='xr-array-in' type='checkbox' checked><label for='section-b07ed524-c2df-4c7d-8f07-7e64484f7373' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,
+    Units:      meter/year</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'vx'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>x</span>: 500</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-11bf32ea-ad71-4662-8fc6-0fa320caaf81' class='xr-array-in' type='checkbox' checked><label for='section-11bf32ea-ad71-4662-8fc6-0fa320caaf81' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,
                nan],
         [      nan,       nan,       nan, ...,       nan,       nan,
                nan],
@@ -3897,19 +3920,19 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
         [38.70002 , 39.267914, 11.182553, ...,       nan,       nan,
                nan],
         [39.49789 , 42.261513, 16.20535 , ...,       nan,       nan,
-               nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a4b96250-cf3c-4dd1-b623-6606c96bac4e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a4b96250-cf3c-4dd1-b623-6606c96bac4e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-4e89bfbb-fc6b-4be1-80ce-5e7eac5f7281' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4e89bfbb-fc6b-4be1-80ce-5e7eac5f7281' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baacbbb1-56ee-406f-ac83-a45a1a88e2dc' class='xr-var-data-in' type='checkbox'><label for='data-baacbbb1-56ee-406f-ac83-a45a1a88e2dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-e82df13c-5696-4c5d-87a7-aed629e4792a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e82df13c-5696-4c5d-87a7-aed629e4792a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5da7f383-e468-4491-9579-b6fff314b5ba' class='xr-var-data-in' type='checkbox'><label for='data-5da7f383-e468-4491-9579-b6fff314b5ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2002</div><input id='attrs-4ddcdfff-90b0-499a-9ff1-f9c9b7ac1894' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4ddcdfff-90b0-499a-9ff1-f9c9b7ac1894' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-329c775d-7f52-4203-b883-a6c73a352b44' class='xr-var-data-in' type='checkbox'><label for='data-329c775d-7f52-4203-b883-a6c73a352b44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([2002])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-128d6397-29de-407c-9640-df42383c5a6f' class='xr-section-summary-in' type='checkbox'  ><label for='section-128d6397-29de-407c-9640-df42383c5a6f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-06048136-763e-418d-9c30-99a9d9f3e460' class='xr-index-data-in' type='checkbox'/><label for='index-06048136-763e-418d-9c30-99a9d9f3e460' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
+               nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-73cbcfbc-fbeb-4162-8f16-ed1254bc5cee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-73cbcfbc-fbeb-4162-8f16-ed1254bc5cee' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-fd1fe1fc-98b3-454f-aed4-8ff67f8c12a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fd1fe1fc-98b3-454f-aed4-8ff67f8c12a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c75c7be-1ca0-4d61-8a46-8fb90b59493a' class='xr-var-data-in' type='checkbox'><label for='data-0c75c7be-1ca0-4d61-8a46-8fb90b59493a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-d97b6c0a-8e97-49c1-b983-485250394e0c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d97b6c0a-8e97-49c1-b983-485250394e0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed7a06a9-e299-460e-a4be-a904c33ace37' class='xr-var-data-in' type='checkbox'><label for='data-ed7a06a9-e299-460e-a4be-a904c33ace37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2002</div><input id='attrs-59f2d1ba-7672-412b-b807-d00c26b1e2ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-59f2d1ba-7672-412b-b807-d00c26b1e2ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-24406de8-d3ef-4ea2-b317-8b75111da075' class='xr-var-data-in' type='checkbox'><label for='data-24406de8-d3ef-4ea2-b317-8b75111da075' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([2002])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b1e98e54-6108-4221-ac0c-27e9d6484408' class='xr-section-summary-in' type='checkbox'  ><label for='section-b1e98e54-6108-4221-ac0c-27e9d6484408' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dfb38f18-ad4d-4762-9b15-3d15d97c9f0a' class='xr-index-data-in' type='checkbox'/><label for='index-dfb38f18-ad4d-4762-9b15-3d15d97c9f0a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
        -1578700.0, -1578250.0, -1577800.0, -1577350.0,
        ...
        -1360900.0, -1360450.0, -1360000.0, -1359550.0, -1359100.0, -1358650.0,
        -1358200.0, -1357750.0, -1357300.0, -1356850.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-059113f5-1814-4716-82c0-59e6b42522d0' class='xr-index-data-in' type='checkbox'/><label for='index-059113f5-1814-4716-82c0-59e6b42522d0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a21ea282-06ed-4c97-8041-f4c8e7a37a92' class='xr-index-data-in' type='checkbox'/><label for='index-a21ea282-06ed-4c97-8041-f4c8e7a37a92' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
        -700550.0, -700100.0, -699650.0, -699200.0,
        ...
        -347750.0, -347300.0, -346850.0, -346400.0, -345950.0, -345500.0,
        -345050.0, -344600.0, -344150.0, -343700.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-47c42eb3-5184-4fac-b350-8117ed9c2f0b' class='xr-index-data-in' type='checkbox'/><label for='index-47c42eb3-5184-4fac-b350-8117ed9c2f0b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2002], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce32b6e1-4553-41e3-9b51-8a09de4257ba' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ce32b6e1-4553-41e3-9b51-8a09de4257ba' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-98afd083-6f86-47bf-b0e5-81e9a22b52ee' class='xr-index-data-in' type='checkbox'/><label for='index-98afd083-6f86-47bf-b0e5-81e9a22b52ee' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([2002], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d043b499-a40d-4767-93c7-4f8af2054ef8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d043b499-a40d-4767-93c7-4f8af2054ef8' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Now we have a list of <code class="docutils literal notranslate"><span class="pre">xr.DataArrays</span></code> for the <code class="docutils literal notranslate"><span class="pre">vx</span></code> data variable where each <code class="docutils literal notranslate"><span class="pre">xr.DataArray</span></code> has a time dimension and coordinates along the time dimension. This list is ready to be concatenated along the time dimension.</p>
 <p>First, we will perform the same steps for the other two data variables (<code class="docutils literal notranslate"><span class="pre">vy</span></code> and <code class="docutils literal notranslate"><span class="pre">err</span></code>) before concatenating all three along the time dimension and merging into one <code class="docutils literal notranslate"><span class="pre">xr.Dataset</span></code>. For <code class="docutils literal notranslate"><span class="pre">vy</span></code> and <code class="docutils literal notranslate"><span class="pre">err</span></code>, we will combine the steps followed for <code class="docutils literal notranslate"><span class="pre">vx</span></code> into one operation. Note one other difference between the workflow for <code class="docutils literal notranslate"><span class="pre">vx</span></code> and the workflow for <code class="docutils literal notranslate"><span class="pre">vy</span></code> and <code class="docutils literal notranslate"><span class="pre">err</span></code>: rather than assigning coordinate values using the <code class="docutils literal notranslate"><span class="pre">assign_coords()</span></code> function, we do this within the <code class="docutils literal notranslate"><span class="pre">expand_dims()</span></code> function, where a <code class="docutils literal notranslate"><span class="pre">time</span></code> dimension is added as well as coordinate values for the dimension (<code class="docutils literal notranslate"><span class="pre">[int(var[-4:])]</span></code>).</p>
@@ -4316,9 +4339,9 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
     err      (time, y, x) float32 nan nan nan nan nan ... nan nan nan nan nan
 Attributes:
     Content:  Ice velocity in x direction
-    Units:      meter/year</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b6866ea5-6af5-4d8e-95bc-ba2a04c7e2e1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b6866ea5-6af5-4d8e-95bc-ba2a04c7e2e1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 500</li><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>time</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-81b40dbd-7c33-45af-8b8c-d2bccb35b48c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-81b40dbd-7c33-45af-8b8c-d2bccb35b48c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-355120fe-fac7-4316-9856-544b33694faf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-355120fe-fac7-4316-9856-544b33694faf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30becec3-67d6-4948-ae99-e7fc70b47243' class='xr-var-data-in' type='checkbox'><label for='data-30becec3-67d6-4948-ae99-e7fc70b47243' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-7847dc94-d183-451d-873c-793bd52a78a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7847dc94-d183-451d-873c-793bd52a78a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-924f27ce-d6ff-4268-8b21-3bfd29abf9f2' class='xr-var-data-in' type='checkbox'><label for='data-924f27ce-d6ff-4268-8b21-3bfd29abf9f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1996 2000 2002 ... 2010 2011 2012</div><input id='attrs-98fe4a4d-bc84-42b1-82c0-360739263c5b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98fe4a4d-bc84-42b1-82c0-360739263c5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-765e9be3-6071-4c74-9c90-966a578724fd' class='xr-var-data-in' type='checkbox'><label for='data-765e9be3-6071-4c74-9c90-966a578724fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1996, 2000, 2002, 2006, 2007, 2008, 2009, 2010, 2011, 2012])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-af7ebb81-54ad-405d-bd32-0ebc835e1399' class='xr-section-summary-in' type='checkbox'  checked><label for='section-af7ebb81-54ad-405d-bd32-0ebc835e1399' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-7005c020-78e4-42db-985f-db16e0471ffe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7005c020-78e4-42db-985f-db16e0471ffe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8bf8255-06c3-45e7-bc5d-41789d554107' class='xr-var-data-in' type='checkbox'><label for='data-c8bf8255-06c3-45e7-bc5d-41789d554107' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,
+    Units:      meter/year</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3ffaf6b8-0f1d-4576-b526-939dcebb188e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3ffaf6b8-0f1d-4576-b526-939dcebb188e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 500</li><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>time</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-818b77cb-c173-4215-b02e-77de2168d2ee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-818b77cb-c173-4215-b02e-77de2168d2ee' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-875b17a4-af2e-41d7-9408-5c26f815c5d2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-875b17a4-af2e-41d7-9408-5c26f815c5d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f329194-3d20-48a3-819d-1956d87d5967' class='xr-var-data-in' type='checkbox'><label for='data-8f329194-3d20-48a3-819d-1956d87d5967' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-648a4644-6e34-4ba5-88b1-58373f576e55' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-648a4644-6e34-4ba5-88b1-58373f576e55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d701f67a-5cff-4dda-9c24-8656aff0cabf' class='xr-var-data-in' type='checkbox'><label for='data-d701f67a-5cff-4dda-9c24-8656aff0cabf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1996 2000 2002 ... 2010 2011 2012</div><input id='attrs-ad9069a6-078c-4063-98ac-fe56d0273cd6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad9069a6-078c-4063-98ac-fe56d0273cd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a1cbb92-1814-4fc9-ad2a-526508d82515' class='xr-var-data-in' type='checkbox'><label for='data-2a1cbb92-1814-4fc9-ad2a-526508d82515' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1996, 2000, 2002, 2006, 2007, 2008, 2009, 2010, 2011, 2012])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5d18b35c-760f-46a8-b741-921d17afbc1f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5d18b35c-760f-46a8-b741-921d17afbc1f' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-bb227daf-34f9-4622-825a-c74cb578e036' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb227daf-34f9-4622-825a-c74cb578e036' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee415c95-42cb-4ed4-af0e-6006b19f7460' class='xr-var-data-in' type='checkbox'><label for='data-ee415c95-42cb-4ed4-af0e-6006b19f7460' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
         [         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
@@ -4358,7 +4381,7 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
         [         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
         [         nan,          nan,          nan, ...,          nan,
-                  nan,          nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-b3a8931a-dc6f-4e81-b5da-8d8ad46839e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3a8931a-dc6f-4e81-b5da-8d8ad46839e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb9a4572-dec0-453c-ac53-a381a6226f0f' class='xr-var-data-in' type='checkbox'><label for='data-bb9a4572-dec0-453c-ac53-a381a6226f0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[        nan,         nan,         nan, ...,         nan,
+                  nan,          nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-f203d6d6-aaf0-4ab4-af35-9f7b09d202d1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f203d6d6-aaf0-4ab4-af35-9f7b09d202d1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0692107a-149b-4cff-98b9-a2da9f285ea2' class='xr-var-data-in' type='checkbox'><label for='data-0692107a-149b-4cff-98b9-a2da9f285ea2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[        nan,         nan,         nan, ...,         nan,
                  nan,         nan],
         [        nan,         nan,         nan, ...,         nan,
                  nan,         nan],
@@ -4398,7 +4421,7 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
         [        nan,         nan,         nan, ...,         nan,
                  nan,         nan],
         [        nan,         nan,         nan, ...,         nan,
-                 nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-edb33549-c64b-4b69-a03b-857fef4a2a74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edb33549-c64b-4b69-a03b-857fef4a2a74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c63676f-51be-4289-aa54-4878d7bc7d20' class='xr-var-data-in' type='checkbox'><label for='data-8c63676f-51be-4289-aa54-4878d7bc7d20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,
+                 nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-8ac4de86-3073-49d1-98b2-1d9df623625f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ac4de86-3073-49d1-98b2-1d9df623625f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1687eee9-1920-4193-a4de-581ff151ae76' class='xr-var-data-in' type='checkbox'><label for='data-1687eee9-1920-4193-a4de-581ff151ae76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,
                nan],
         [      nan,       nan,       nan, ...,       nan,       nan,
                nan],
@@ -4438,17 +4461,17 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
         [      nan,       nan,       nan, ...,       nan,       nan,
                nan],
         [      nan,       nan,       nan, ...,       nan,       nan,
-               nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-41076c33-a564-414e-b100-ebc4ec0a10e3' class='xr-section-summary-in' type='checkbox'  ><label for='section-41076c33-a564-414e-b100-ebc4ec0a10e3' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-074d38f4-9c79-4ede-953f-d279c201f603' class='xr-index-data-in' type='checkbox'/><label for='index-074d38f4-9c79-4ede-953f-d279c201f603' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
+               nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-73251033-156f-4ee9-a80b-75b6a46b0ac7' class='xr-section-summary-in' type='checkbox'  ><label for='section-73251033-156f-4ee9-a80b-75b6a46b0ac7' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2941c3bb-1b52-4c00-b661-97a062540cc9' class='xr-index-data-in' type='checkbox'/><label for='index-2941c3bb-1b52-4c00-b661-97a062540cc9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
        -1578700.0, -1578250.0, -1577800.0, -1577350.0,
        ...
        -1360900.0, -1360450.0, -1360000.0, -1359550.0, -1359100.0, -1358650.0,
        -1358200.0, -1357750.0, -1357300.0, -1356850.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fb86bcbf-6ec0-4dc5-928d-2512b19cd4f0' class='xr-index-data-in' type='checkbox'/><label for='index-fb86bcbf-6ec0-4dc5-928d-2512b19cd4f0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aacb027a-5d95-4b9b-950a-11b406f7f1e0' class='xr-index-data-in' type='checkbox'/><label for='index-aacb027a-5d95-4b9b-950a-11b406f7f1e0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
        -700550.0, -700100.0, -699650.0, -699200.0,
        ...
        -347750.0, -347300.0, -346850.0, -346400.0, -345950.0, -345500.0,
        -345050.0, -344600.0, -344150.0, -343700.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f3ac2151-0a32-47a9-b891-130f7c9a3f94' class='xr-index-data-in' type='checkbox'/><label for='index-f3ac2151-0a32-47a9-b891-130f7c9a3f94' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1996, 2000, 2002, 2006, 2007, 2008, 2009, 2010, 2011, 2012], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-93007819-6d4c-4be2-9e67-d1e0a6b89494' class='xr-section-summary-in' type='checkbox'  checked><label for='section-93007819-6d4c-4be2-9e67-d1e0a6b89494' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-07bf21a5-f5cb-44e1-878c-4d8ee49e45da' class='xr-index-data-in' type='checkbox'/><label for='index-07bf21a5-f5cb-44e1-878c-4d8ee49e45da' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1996, 2000, 2002, 2006, 2007, 2008, 2009, 2010, 2011, 2012], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3cf1d8b-7daa-4a6f-a923-5a174162b6f4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e3cf1d8b-7daa-4a6f-a923-5a174162b6f4' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>We’ll add a variable that is magnitude of velocity as well</p>
 <div class="cell docutils container">
@@ -4465,10 +4488,10 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fc1dcf13290&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fcbdd9c5990&gt;
 </pre></div>
 </div>
-<img alt="../../_images/d3d0cb7fecf8d46b0bf1f36aaed1df349455ea06bed53082834d453a96c4e0a1.png" src="../../_images/d3d0cb7fecf8d46b0bf1f36aaed1df349455ea06bed53082834d453a96c4e0a1.png" />
+<img alt="../../_images/6481fb34fbc12c7770335832f02eecba3dc0e4688580f9271d66d6d5a97e9561.png" src="../../_images/6481fb34fbc12c7770335832f02eecba3dc0e4688580f9271d66d6d5a97e9561.png" />
 </div>
 </div>
 <p>and add the <code class="docutils literal notranslate"><span class="pre">attrs</span></code> of the original object to our new object, <code class="docutils literal notranslate"><span class="pre">ds_full</span></code></p>
@@ -4873,9 +4896,9 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
     Data_citation:        NSIDC Citation Rignot, E., J. Mouginot, and B. Sche...
     More_information:     http://nsidc.org/data/nsidc-0545.html
     Notes_3:                       Data were processed at the Department of E...
-    Description:          Created a spatial subset of original dataset. Selec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4606f7ad-6eae-46b5-8f9a-34fd67ff2cc6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4606f7ad-6eae-46b5-8f9a-34fd67ff2cc6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 500</li><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>time</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0718a2d7-f753-4dc4-84dc-6472f4db3fad' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0718a2d7-f753-4dc4-84dc-6472f4db3fad' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-db6f86e0-1b61-421a-a981-d9d797d72857' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db6f86e0-1b61-421a-a981-d9d797d72857' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab6bf02a-b8fd-4a55-a711-cd645edc6850' class='xr-var-data-in' type='checkbox'><label for='data-ab6bf02a-b8fd-4a55-a711-cd645edc6850' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-8081171c-a4b4-4982-a126-81ea316369c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8081171c-a4b4-4982-a126-81ea316369c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6274a53-830e-4656-a6cc-ef8a0df46812' class='xr-var-data-in' type='checkbox'><label for='data-f6274a53-830e-4656-a6cc-ef8a0df46812' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1996 2000 2002 ... 2010 2011 2012</div><input id='attrs-a13631d4-010d-4df4-874a-f676f818922c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a13631d4-010d-4df4-874a-f676f818922c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0032e853-b283-4b41-be41-9bd9be7f3a40' class='xr-var-data-in' type='checkbox'><label for='data-0032e853-b283-4b41-be41-9bd9be7f3a40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1996, 2000, 2002, 2006, 2007, 2008, 2009, 2010, 2011, 2012])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ca04a3d-9f46-4c1e-b553-954d2344156d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0ca04a3d-9f46-4c1e-b553-954d2344156d' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-80d0fd6c-3ccb-4bbd-b020-8d19c77a6e99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80d0fd6c-3ccb-4bbd-b020-8d19c77a6e99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d299f087-89dd-45cd-b2f0-f55d1da26be8' class='xr-var-data-in' type='checkbox'><label for='data-d299f087-89dd-45cd-b2f0-f55d1da26be8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,
+    Description:          Created a spatial subset of original dataset. Selec...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-457e9432-53ba-43be-abfa-b63f61db5e8f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-457e9432-53ba-43be-abfa-b63f61db5e8f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 500</li><li><span class='xr-has-index'>y</span>: 800</li><li><span class='xr-has-index'>time</span>: 10</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b24f1227-be07-47fe-831d-1cac16e647e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b24f1227-be07-47fe-831d-1cac16e647e1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.581e+06 ... -1.357e+06</div><input id='attrs-a8ec3785-ea76-434a-a70c-8394ebccba87' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a8ec3785-ea76-434a-a70c-8394ebccba87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42bd60f9-b17a-4a53-9915-046224e2c9ed' class='xr-var-data-in' type='checkbox'><label for='data-42bd60f9-b17a-4a53-9915-046224e2c9ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-1581400., -1580950., -1580500., ..., -1357750., -1357300., -1356850.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-7.032e+05 ... -3.437e+05</div><input id='attrs-503d4369-cecb-406d-a0e7-0d409239996a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-503d4369-cecb-406d-a0e7-0d409239996a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a97b9818-51be-4c40-9887-371f48f7e57b' class='xr-var-data-in' type='checkbox'><label for='data-a97b9818-51be-4c40-9887-371f48f7e57b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-703250., -702800., -702350., ..., -344600., -344150., -343700.],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1996 2000 2002 ... 2010 2011 2012</div><input id='attrs-65038e9f-e2ac-4ce6-a5d4-60f49a1b9122' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-65038e9f-e2ac-4ce6-a5d4-60f49a1b9122' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fefdbb52-0eca-44cf-9c51-1d2a2f615aa4' class='xr-var-data-in' type='checkbox'><label for='data-fefdbb52-0eca-44cf-9c51-1d2a2f615aa4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1996, 2000, 2002, 2006, 2007, 2008, 2009, 2010, 2011, 2012])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a9a7b585-c960-4f18-8264-cd6f9c5eef51' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a9a7b585-c960-4f18-8264-cd6f9c5eef51' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>vx</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-c0b65929-c566-431a-ad7e-34f4f67b67b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0b65929-c566-431a-ad7e-34f4f67b67b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbd75090-7781-4726-b2cd-e0b21ce5c53d' class='xr-var-data-in' type='checkbox'><label for='data-dbd75090-7781-4726-b2cd-e0b21ce5c53d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in x direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
         [         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
@@ -4915,7 +4938,7 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
         [         nan,          nan,          nan, ...,          nan,
                   nan,          nan],
         [         nan,          nan,          nan, ...,          nan,
-                  nan,          nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-4895f415-3c1c-417a-91cb-3cb7894de5a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4895f415-3c1c-417a-91cb-3cb7894de5a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c342cc50-6886-4953-878d-43c50094835b' class='xr-var-data-in' type='checkbox'><label for='data-c342cc50-6886-4953-878d-43c50094835b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[        nan,         nan,         nan, ...,         nan,
+                  nan,          nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vy</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-660b22c0-5cee-4acc-8957-1ebbde9eda87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-660b22c0-5cee-4acc-8957-1ebbde9eda87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f8dee7a-b599-4dd6-b37c-9f384a89d8e5' class='xr-var-data-in' type='checkbox'><label for='data-5f8dee7a-b599-4dd6-b37c-9f384a89d8e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Ice velocity in y direction</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[        nan,         nan,         nan, ...,         nan,
                  nan,         nan],
         [        nan,         nan,         nan, ...,         nan,
                  nan,         nan],
@@ -4955,7 +4978,7 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
         [        nan,         nan,         nan, ...,         nan,
                  nan,         nan],
         [        nan,         nan,         nan, ...,         nan,
-                 nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-8f48637e-2e9f-4f20-a295-fa06e2ac3b91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f48637e-2e9f-4f20-a295-fa06e2ac3b91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1baa8419-0a1c-4dcc-8649-a5f2a464d34a' class='xr-var-data-in' type='checkbox'><label for='data-1baa8419-0a1c-4dcc-8649-a5f2a464d34a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,
+                 nan,         nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>err</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0b210ef1-5e19-48c5-a902-4687f64bc00f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b210ef1-5e19-48c5-a902-4687f64bc00f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca39675a-404c-4921-a0b2-9e722086209a' class='xr-var-data-in' type='checkbox'><label for='data-ca39675a-404c-4921-a0b2-9e722086209a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Content :</span></dt><dd>Uncertainty estimation</dd><dt><span>Units :</span></dt><dd>  meter/year</dd></dl></div><div class='xr-var-data'><pre>array([[[      nan,       nan,       nan, ...,       nan,       nan,
                nan],
         [      nan,       nan,       nan, ...,       nan,       nan,
                nan],
@@ -4995,7 +5018,7 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
         [      nan,       nan,       nan, ...,       nan,       nan,
                nan],
         [      nan,       nan,       nan, ...,       nan,       nan,
-               nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vv</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9fe63318-1b4e-41d0-a769-f48dd12ef1e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9fe63318-1b4e-41d0-a769-f48dd12ef1e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3714a92f-88ab-4edb-979d-5c67f6d35388' class='xr-var-data-in' type='checkbox'><label for='data-3714a92f-88ab-4edb-979d-5c67f6d35388' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,
+               nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vv</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-817f0061-ddb5-4c49-b3da-c9eea1db6c15' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-817f0061-ddb5-4c49-b3da-c9eea1db6c15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-191b1f59-2aa8-4f0e-b3cc-5e85e1801860' class='xr-var-data-in' type='checkbox'><label for='data-191b1f59-2aa8-4f0e-b3cc-5e85e1801860' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,
                 nan,        nan],
         [       nan,        nan,        nan, ...,        nan,
                 nan,        nan],
@@ -5035,17 +5058,17 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
         [       nan,        nan,        nan, ...,        nan,
                 nan,        nan],
         [       nan,        nan,        nan, ...,        nan,
-                nan,        nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6431180b-0074-4f9b-8fd8-8dff19cda1ee' class='xr-section-summary-in' type='checkbox'  ><label for='section-6431180b-0074-4f9b-8fd8-8dff19cda1ee' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-905d4b23-d45c-4e8a-af52-46476858282e' class='xr-index-data-in' type='checkbox'/><label for='index-905d4b23-d45c-4e8a-af52-46476858282e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
+                nan,        nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c68d808a-c8de-40dd-9178-6eb94699f402' class='xr-section-summary-in' type='checkbox'  ><label for='section-c68d808a-c8de-40dd-9178-6eb94699f402' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6fa66a09-7f22-4450-80d1-f86cacc6aacd' class='xr-index-data-in' type='checkbox'/><label for='index-6fa66a09-7f22-4450-80d1-f86cacc6aacd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-1581400.0, -1580950.0, -1580500.0, -1580050.0, -1579600.0, -1579150.0,
        -1578700.0, -1578250.0, -1577800.0, -1577350.0,
        ...
        -1360900.0, -1360450.0, -1360000.0, -1359550.0, -1359100.0, -1358650.0,
        -1358200.0, -1357750.0, -1357300.0, -1356850.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-083f58a4-36d8-4b89-a8e2-7ff94a2f0420' class='xr-index-data-in' type='checkbox'/><label for='index-083f58a4-36d8-4b89-a8e2-7ff94a2f0420' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;x&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e431e5f5-245a-4413-9b7a-a142f91c0097' class='xr-index-data-in' type='checkbox'/><label for='index-e431e5f5-245a-4413-9b7a-a142f91c0097' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-703250.0, -702800.0, -702350.0, -701900.0, -701450.0, -701000.0,
        -700550.0, -700100.0, -699650.0, -699200.0,
        ...
        -347750.0, -347300.0, -346850.0, -346400.0, -345950.0, -345500.0,
        -345050.0, -344600.0, -344150.0, -343700.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-904fabb5-1a7f-4cdc-b062-a1aac5c0d0b1' class='xr-index-data-in' type='checkbox'/><label for='index-904fabb5-1a7f-4cdc-b062-a1aac5c0d0b1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1996, 2000, 2002, 2006, 2007, 2008, 2009, 2010, 2011, 2012], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a12d816-450e-4806-9579-7d9a41285c5b' class='xr-section-summary-in' type='checkbox'  ><label for='section-8a12d816-450e-4806-9579-7d9a41285c5b' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;y&#x27;, length=800))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c0b3bd23-55aa-42eb-953d-36bc590bf0b3' class='xr-index-data-in' type='checkbox'/><label for='index-c0b3bd23-55aa-42eb-953d-36bc590bf0b3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1996, 2000, 2002, 2006, 2007, 2008, 2009, 2010, 2011, 2012], dtype=&#x27;int64&#x27;, name=&#x27;time&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63216c65-9408-4f69-a5c5-e01e837a9143' class='xr-section-summary-in' type='checkbox'  ><label for='section-63216c65-9408-4f69-a5c5-e01e837a9143' class='xr-section-summary' >Attributes: <span>(21)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Title :</span></dt><dd>ASE Time Series - Ice Velocity</dd><dt><span>Version :</span></dt><dd>1.0.0 (18Oct2013)</dd><dt><span>nx :</span></dt><dd>1707</dd><dt><span>ny :</span></dt><dd>2268</dd><dt><span>Projection :</span></dt><dd>         Polar Stereographic South</dd><dt><span>Ellipsoid :</span></dt><dd>          WGS-84</dd><dt><span>Longitude_of_origin :</span></dt><dd>0  degrees</dd><dt><span>Latitude_of_origin :</span></dt><dd>-90 degrees</dd><dt><span>Secant_latitude :</span></dt><dd>    -71 degrees</dd><dt><span>xmin :</span></dt><dd>      -1806625.0 m</dd><dt><span>ymax :</span></dt><dd>        227125.0 m</dd><dt><span>spacing :</span></dt><dd>          450.00 m</dd><dt><span>Creation_Time :</span></dt><dd>Sat Oct 19 10:49:00 2013</dd><dt><span>Summary_1 :</span></dt><dd>    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, provides high-resolution, digital mosaics of ice motion in the Amundsen Sea Embayment (ASE) and West Antarctica, including Pine Island, Thwaites, Haynes, Pope, Smith, and Kohler glaciers. The mosaics were assembled from interferometric synthetic-aperture radar (InSAR) data acquired in 1996, 2000, 2002, and 2006-2012 by various satellites.</dd><dt><span>Notes_1 :</span></dt><dd>      The generation of this data set and its scientific interpretation are discussed in the following citation. We kindly request that you acknowledge the use of this data set by referencing the following citation:</dd><dt><span>Reference :</span></dt><dd>    Mouginot J., B. Scheuchl and E. Rignot (2012), Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data, Remote Sensing, doi 10.3390/rs4092753</dd><dt><span>Notes_2 :</span></dt><dd>      Please also include the following data set reference, which identifies where to access these data.</dd><dt><span>Data_citation :</span></dt><dd>NSIDC Citation Rignot, E., J. Mouginot, and B. Scheuchl. 2013. MEaSUREs InSAR-based Ice Velocity of the Amundsen Sea Embayment, [indicate subset used]. Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center. Accessed on [date]. http://nsidc.org/data/nsidc-0545.html</dd><dt><span>More_information :</span></dt><dd>http://nsidc.org/data/nsidc-0545.html</dd><dt><span>Notes_3 :</span></dt><dd>         Data were processed at the Department of Earth System Science, University of California, Irvine. Final version completed on Sept 18, 2012.</dd><dt><span>Description :</span></dt><dd>Created a spatial subset of original dataset. Selected 500,1000 along x-dimension and 200,1000 along y-dimension</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Checking against original version to make sure it’s the same:</p>
 <div class="cell docutils container">
@@ -5055,10 +5078,10 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fc1e0ed8790&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fcc348040d0&gt;
 </pre></div>
 </div>
-<img alt="../../_images/bc0de4a9fc38208dab7c967c796a340ed8b130c50b7a20d24a118da0fed47f69.png" src="../../_images/bc0de4a9fc38208dab7c967c796a340ed8b130c50b7a20d24a118da0fed47f69.png" />
+<img alt="../../_images/f129bc4f4e62fe93104f5dc345d95f9cd216f5ddf27a322ce05e137d01d7d682.png" src="../../_images/f129bc4f4e62fe93104f5dc345d95f9cd216f5ddf27a322ce05e137d01d7d682.png" />
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 <p>We can also use <code class="docutils literal notranslate"><span class="pre">xr.DataArray.equals</span></code> function to test if two <code class="docutils literal notranslate"><span class="pre">xr.DataArrays</span></code> are identical to one another. More information <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.DataArray.equals.html">here</a>.</p>
@@ -5101,11 +5124,10 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
 
               
               
-                <footer class="bd-footer-article">
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@@ -5125,16 +5147,15 @@ <h1>Re-organize InSAR ice velocity data<a class="headerlink" href="#re-organize-
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diff --git a/intermediate/data_cleaning/05.4_contributing.html b/intermediate/data_cleaning/05.4_contributing.html
index a1ae965c..5198df16 100644
--- a/intermediate/data_cleaning/05.4_contributing.html
+++ b/intermediate/data_cleaning/05.4_contributing.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
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-  <link href="../../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
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+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
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+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
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@@ -118,12 +128,15 @@
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+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
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+
   
 
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@@ -144,13 +158,14 @@
   
   
   
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-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
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@@ -431,20 +446,22 @@
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@@ -471,10 +488,10 @@ <h1>Contributing</h1>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="contributing">
-<h1>Contributing<a class="headerlink" href="#contributing" title="Permalink to this headline">#</a></h1>
+<h1>Contributing<a class="headerlink" href="#contributing" title="Permalink to this heading">#</a></h1>
 <p>This project is an evolving community effort. <strong>We want to hear from you!</strong>. Many workflows involve some version of the examples discussed here. The solutions you’ve developed in your work could help future users and help the community move toward more established norms around tidy data. Please consider submitting any examples you may have. You can create an issue <a class="reference external" href="https://github.com/e-marshall/tidy-xarray/issues/new?assignees=&amp;labels=&amp;projects=&amp;template=data-tidying-example-template.md&amp;title=">here</a>.If you have any questions or topics you’d like to discuss, please don’t hesitate to create an issue on github.</p>
 <p><em>note: issue template has some errors currently, need to fix</em></p>
 </section>
@@ -504,11 +521,10 @@ <h1>Contributing<a class="headerlink" href="#contributing" title="Permalink to t
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
        href="05.3_ice_velocity.html"
@@ -528,16 +544,15 @@ <h1>Contributing<a class="headerlink" href="#contributing" title="Permalink to t
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
-  
 </div>
-
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             </div>
             
             
               
+                <div class="bd-sidebar-secondary bd-toc"></div>
+              
             
           </div>
           <footer class="bd-footer-content">
@@ -554,6 +569,7 @@ <h1>Contributing<a class="headerlink" href="#contributing" title="Permalink to t
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2023.
@@ -580,8 +596,8 @@ <h1>Contributing<a class="headerlink" href="#contributing" title="Permalink to t
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/intermediate/data_cleaning/05.5_scipy_talk.html b/intermediate/data_cleaning/05.5_scipy_talk.html
index 0946566c..76f5f564 100644
--- a/intermediate/data_cleaning/05.5_scipy_talk.html
+++ b/intermediate/data_cleaning/05.5_scipy_talk.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
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-  <link href="../../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../../_static/styles/bootstrap.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
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-<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
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     <script src="../../_static/jquery.js"></script>
     <script src="../../_static/underscore.js"></script>
+    <script src="../../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../../_static/doctools.js"></script>
     <script src="../../_static/clipboard.min.js"></script>
     <script src="../../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
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@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
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@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -431,20 +446,22 @@
 </button>
 
 
+
 <script>
 document.write(`
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+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
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 </script>
 
+
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 document.write(`
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-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -485,19 +502,19 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="presentations">
-<h1>Presentations<a class="headerlink" href="#presentations" title="Permalink to this headline">#</a></h1>
+<h1>Presentations<a class="headerlink" href="#presentations" title="Permalink to this heading">#</a></h1>
 <section id="scipy-2023">
-<h2>SciPy 2023<a class="headerlink" href="#scipy-2023" title="Permalink to this headline">#</a></h2>
+<h2>SciPy 2023<a class="headerlink" href="#scipy-2023" title="Permalink to this heading">#</a></h2>
 <p>This project was initially presented at the 2023 SciPy conference in Austin, TX. You can check out the slides and a recording of the presentation below.</p>
 <section id="slides">
-<h3>Slides<a class="headerlink" href="#slides" title="Permalink to this headline">#</a></h3>
+<h3>Slides<a class="headerlink" href="#slides" title="Permalink to this heading">#</a></h3>
 <p>The presentation slides are available through the <a class="reference external" href="https://conference.scipy.org/proceedings/scipy2023/slides.html">2023 SciPy Conference Proceedings</a> and can be downloaded <a class="reference external" href="https://zenodo.org/records/8221167">here</a>.</p>
 </section>
 <section id="recording">
-<h3>Recording<a class="headerlink" href="#recording" title="Permalink to this headline">#</a></h3>
+<h3>Recording<a class="headerlink" href="#recording" title="Permalink to this heading">#</a></h3>
 <p>A recording of the presentation is available <a class="reference external" href="https://www.youtube.com/watch?v=KZlG1im088s">here</a>.</p>
 </section>
 </section>
@@ -528,11 +545,10 @@ <h3>Recording<a class="headerlink" href="#recording" title="Permalink to this he
 
               
               
-                <footer class="bd-footer-article">
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+              
+                <footer class="prev-next-footer">
                   
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 <div class="prev-next-area">
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@@ -552,10 +568,7 @@ <h3>Recording<a class="headerlink" href="#recording" title="Permalink to this he
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
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@@ -564,6 +577,7 @@ <h3>Recording<a class="headerlink" href="#recording" title="Permalink to this he
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
   <div class="sidebar-secondary-item">
   <div class="page-toc tocsection onthispage">
     <i class="fa-solid fa-list"></i> Contents
@@ -596,6 +610,7 @@ <h3>Recording<a class="headerlink" href="#recording" title="Permalink to this he
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2023.
@@ -622,8 +637,8 @@ <h3>Recording<a class="headerlink" href="#recording" title="Permalink to this he
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/intermediate/hvplot.html b/intermediate/hvplot.html
index f2436e94..4aaf1c53 100644
--- a/intermediate/hvplot.html
+++ b/intermediate/hvplot.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
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   <!-- Loaded before other Sphinx assets -->
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-<link href="../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
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-<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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   <!-- Pre-loaded scripts that we'll load fully later -->
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-<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52" />
+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
     <script src="../_static/jquery.js"></script>
     <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../_static/doctools.js"></script>
     <script src="../_static/clipboard.min.js"></script>
     <script src="../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
       <div class="bd-sidebar-primary bd-sidebar">
         
 
@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
 <script>
 document.write(`
-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
-    <span class="theme-switch" data-mode="dark"><i class="fa-solid fa-moon"></i></span>
-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
 `);
 </script>
 
+
 <script>
 document.write(`
   <button class="btn btn-sm navbar-btn search-button search-button__button" title="Search" aria-label="Search" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -515,11 +532,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="interactive-plots-using-hvplot">
-<h1>Interactive plots using hvplot<a class="headerlink" href="#interactive-plots-using-hvplot" title="Permalink to this headline">#</a></h1>
+<h1>Interactive plots using hvplot<a class="headerlink" href="#interactive-plots-using-hvplot" title="Permalink to this heading">#</a></h1>
 <p>Xarray’s builtin plotting functionality wraps matplotlib.</p>
 <p>The <code class="docutils literal notranslate"><span class="pre">holoviews</span></code> <a class="reference external" href="https://hvplot.holoviz.org/">ecosystem</a> provides the <code class="docutils literal notranslate"><span class="pre">hvplot</span></code> package to allow easy
 visualization of xarray (and other) objects. These
@@ -543,11 +560,9 @@ <h1>Interactive plots using hvplot<a class="headerlink" href="#interactive-plots
   }
 
   var force = true;
-  var py_version = '3.1.1'.replace('rc', '-rc.').replace('.dev', '-dev.');
-  var is_dev = py_version.indexOf("+") !== -1 || py_version.indexOf("-") !== -1;
+  var py_version = '3.3.4'.replace('rc', '-rc.').replace('.dev', '-dev.');
   var reloading = false;
   var Bokeh = root.Bokeh;
-  var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));
 
   if (typeof (root._bokeh_timeout) === "undefined" || force) {
     root._bokeh_timeout = Date.now() + 5000;
@@ -659,17 +674,17 @@ <h1>Interactive plots using hvplot<a class="headerlink" href="#interactive-plots
       console.debug("Bokeh: injecting link tag for BokehJS stylesheet: ", url);
       document.body.appendChild(element);
     }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {
-      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];
+      var urls = ['https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];
       for (var i = 0; i < urls.length; i++) {
         skip.push(urls[i])
       }
     }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {
-      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];
+      var urls = ['https://cdn.holoviz.org/panel/1.3.8/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];
       for (var i = 0; i < urls.length; i++) {
         skip.push(urls[i])
       }
     }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {
-      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];
+      var urls = ['https://cdn.holoviz.org/panel/1.3.8/dist/bundled/notificationarea/notyf@3/notyf.min.js'];
       for (var i = 0; i < urls.length; i++) {
         skip.push(urls[i])
       }
@@ -745,7 +760,7 @@ <h1>Interactive plots using hvplot<a class="headerlink" href="#interactive-plots
     document.body.appendChild(element);
   }
 
-  var js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js", "https://cdn.holoviz.org/panel/1.1.1/dist/panel.min.js"];
+  var js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.3.4.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.4.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.4.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.4.min.js", "https://cdn.holoviz.org/panel/1.3.8/dist/panel.min.js"];
   var js_modules = [];
   var js_exports = {};
   var css_urls = [];
@@ -758,7 +773,13 @@ <h1>Interactive plots using hvplot<a class="headerlink" href="#interactive-plots
   function run_inline_js() {
     if ((root.Bokeh !== undefined) || (force === true)) {
       for (var i = 0; i < inline_js.length; i++) {
-        inline_js[i].call(root, root.Bokeh);
+	try {
+          inline_js[i].call(root, root.Bokeh);
+	} catch(e) {
+	  if (!reloading) {
+	    throw e;
+	  }
+	}
       }
       // Cache old bokeh versions
       if (Bokeh != undefined && !reloading) {
@@ -795,11 +816,10 @@ <h1>Interactive plots using hvplot<a class="headerlink" href="#interactive-plots
     } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === "undefined" && root._bokeh_onload_callbacks !== undefined)) {
       setTimeout(load_or_wait, 100);
     } else {
-      Bokeh = root.Bokeh;
-      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));
       root._bokeh_is_initializing = true
       root._bokeh_onload_callbacks = []
-      if (!reloading && (!bokeh_loaded || is_dev)) {
+      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));
+      if (!reloading && !bokeh_loaded) {
 	root.Bokeh = undefined;
       }
       load_libs(css_urls, js_urls, js_modules, js_exports, function() {
@@ -1059,13 +1079,77 @@ <h1>Interactive plots using hvplot<a class="headerlink" href="#interactive-plots
 }
 
 /* Override VSCode background color */
-.cell-output-ipywidget-background:has(> .cell-output-ipywidget-background
-    > .lm-Widget
-    > *[data-root-id]),
+.cell-output-ipywidget-background:has(
+    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]
+  ),
 .cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {
   background-color: transparent !important;
 }
-</style></div></div>
+</style></div><div class="output text_html"><div id='p1002'>
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+</div>
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+  var docs = Object.values(docs_json)
+  if (!docs) {
+    return
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+  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
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+    var Bokeh = get_bokeh(root)
+    Bokeh.embed.embed_items_notebook(docs_json, render_items);
+    for (const render_item of render_items) {
+      for (const root_id of render_item.root_ids) {
+	const id_el = document.getElementById(root_id)
+	if (id_el.children.length && (id_el.children[0].className === 'bk-root')) {
+	  const root_el = id_el.children[0]
+	  root_el.id = root_el.id + '-rendered'
+	}
+      }
+    }
+  }
+  function get_bokeh(root) {
+    if (root.Bokeh === undefined) {
+      return null
+    } else if (root.Bokeh.version !== py_version) {
+      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
+	return null
+      }
+      return root.Bokeh.versions.get(py_version);
+    } else if (root.Bokeh.version === py_version) {
+      return root.Bokeh
+    }
+    return null
+  }
+  function is_loaded(root) {
+    var Bokeh = get_bokeh(root)
+    return (Bokeh != null && Bokeh.Panel !== undefined)
+  }
+  if (is_loaded(root)) {
+    embed_document(root);
+  } else {
+    var attempts = 0;
+    var timer = setInterval(function(root) {
+      if (is_loaded(root)) {
+        clearInterval(timer);
+        embed_document(root);
+      } else if (document.readyState == "complete") {
+        attempts++;
+        if (attempts > 200) {
+          clearInterval(timer);
+	  var Bokeh = get_bokeh(root)
+	  if (Bokeh == null || Bokeh.Panel == null) {
+            console.warn("Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing");
+	  } else {
+	    console.warn("Panel: WARNING: Attempting to render but not all required libraries could be resolved.")
+	    embed_document(root)
+	  }
+        }
+      }
+    }, 25, root)
+  }
+})(window);</script></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1075,7 +1159,7 @@ <h1>Interactive plots using hvplot<a class="headerlink" href="#interactive-plots
 </div>
 </div>
 <section id="basics">
-<h2>Basics<a class="headerlink" href="#basics" title="Permalink to this headline">#</a></h2>
+<h2>Basics<a class="headerlink" href="#basics" title="Permalink to this heading">#</a></h2>
 <p><code class="docutils literal notranslate"><span class="pre">hvplot</span></code> makes the same default choices as <code class="docutils literal notranslate"><span class="pre">DataArray.plot</span></code></p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1084,18 +1168,17 @@ <h2>Basics<a class="headerlink" href="#basics" title="Permalink to this headline
 </div>
 </div>
 <div class="cell_output docutils container">
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-  <div id="e46f9c6e-cef9-4dc3-962d-d31c87cc2092" data-root-id="p1002" style="display: contents;"></div>
+<div class="output text_html"><div id='p1004'>
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   var docs = Object.values(docs_json)
   if (!docs) {
     return
   }
   const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
-  const is_dev = py_version.indexOf("+") !== -1 || py_version.indexOf("-") !== -1
   function embed_document(root) {
     var Bokeh = get_bokeh(root)
     Bokeh.embed.embed_items_notebook(docs_json, render_items);
@@ -1262,7 +1343,7 @@ <h2>Basics<a class="headerlink" href="#basics" title="Permalink to this headline
   function get_bokeh(root) {
     if (root.Bokeh === undefined) {
       return null
-    } else if (root.Bokeh.version !== py_version && !is_dev) {
+    } else if (root.Bokeh.version !== py_version) {
       if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
 	return null
       }
@@ -1303,7 +1384,7 @@ <h2>Basics<a class="headerlink" href="#basics" title="Permalink to this headline
 </div>
 </section>
 <section id="interactivity">
-<h2>Interactivity<a class="headerlink" href="#interactivity" title="Permalink to this headline">#</a></h2>
+<h2>Interactivity<a class="headerlink" href="#interactivity" title="Permalink to this heading">#</a></h2>
 <p>But <code class="docutils literal notranslate"><span class="pre">hvplot</span></code> shines when interactivity is used. Here we can give it <em>all</em> the
 data and ask it to create a nice slider to control the time slice using the
 <code class="docutils literal notranslate"><span class="pre">groupby</span></code> kwarg.</p>
@@ -1317,18 +1398,17 @@ <h2>Interactivity<a class="headerlink" href="#interactivity" title="Permalink to
 </div>
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     var Bokeh = get_bokeh(root)
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   function get_bokeh(root) {
     if (root.Bokeh === undefined) {
       return null
-    } else if (root.Bokeh.version !== py_version && !is_dev) {
+    } else if (root.Bokeh.version !== py_version) {
       if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
 	return null
       }
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 </div>
 </section>
 <section id="animations">
-<h2>Animations<a class="headerlink" href="#animations" title="Permalink to this headline">#</a></h2>
+<h2>Animations<a class="headerlink" href="#animations" title="Permalink to this heading">#</a></h2>
 <p>are easy.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
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+  var render_items = [{"docid":"565b7087-a210-4820-9087-88761baca75a","roots":{"p1287":"fae4997e-9dcf-4f8a-8177-1e63a39e9dab"},"root_ids":["p1287"]}];
   var docs = Object.values(docs_json)
   if (!docs) {
     return
   }
   const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
-  const is_dev = py_version.indexOf("+") !== -1 || py_version.indexOf("-") !== -1
   function embed_document(root) {
     var Bokeh = get_bokeh(root)
     Bokeh.embed.embed_items_notebook(docs_json, render_items);
@@ -1429,7 +1508,7 @@ <h2>Animations<a class="headerlink" href="#animations" title="Permalink to this
   function get_bokeh(root) {
     if (root.Bokeh === undefined) {
       return null
-    } else if (root.Bokeh.version !== py_version && !is_dev) {
+    } else if (root.Bokeh.version !== py_version) {
       if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
 	return null
       }
@@ -1470,7 +1549,7 @@ <h2>Animations<a class="headerlink" href="#animations" title="Permalink to this
 </div>
 </section>
 <section id="geography">
-<h2>Geography<a class="headerlink" href="#geography" title="Permalink to this headline">#</a></h2>
+<h2>Geography<a class="headerlink" href="#geography" title="Permalink to this heading">#</a></h2>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ds</span><span class="o">.</span><span class="n">Tair</span><span class="o">.</span><span class="n">isel</span><span class="p">(</span><span class="n">time</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">hvplot</span><span class="p">(</span>
@@ -1481,271 +1560,71 @@ <h2>Geography<a class="headerlink" href="#geography" title="Permalink to this he
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="gt">---------------------------------------------------------------------------</span>
-<span class="ne">ValueError</span><span class="g g-Whitespace">                                </span>Traceback (most recent call last)
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/IPython/core/formatters.py:974,</span> in <span class="ni">MimeBundleFormatter.__call__</span><span class="nt">(self, obj, include, exclude)</span>
-<span class="g g-Whitespace">    </span><span class="mi">971</span>     <span class="n">method</span> <span class="o">=</span> <span class="n">get_real_method</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">print_method</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">973</span>     <span class="k">if</span> <span class="n">method</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">974</span>         <span class="k">return</span> <span class="n">method</span><span class="p">(</span><span class="n">include</span><span class="o">=</span><span class="n">include</span><span class="p">,</span> <span class="n">exclude</span><span class="o">=</span><span class="n">exclude</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">975</span>     <span class="k">return</span> <span class="kc">None</span>
-<span class="g g-Whitespace">    </span><span class="mi">976</span> <span class="k">else</span><span class="p">:</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/core/dimension.py:1290,</span> in <span class="ni">Dimensioned._repr_mimebundle_</span><span class="nt">(self, include, exclude)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1283</span> <span class="k">def</span> <span class="nf">_repr_mimebundle_</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">include</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">exclude</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-<span class="g g-Whitespace">   </span><span class="mi">1284</span><span class="w">     </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="g g-Whitespace">   </span><span class="mi">1285</span><span class="sd">     Resolves the class hierarchy for the class rendering the</span>
-<span class="g g-Whitespace">   </span><span class="mi">1286</span><span class="sd">     object using any display hooks registered on Store.display</span>
-<span class="g g-Whitespace">   </span><span class="mi">1287</span><span class="sd">     hooks.  The output of all registered display_hooks is then</span>
-<span class="g g-Whitespace">   </span><span class="mi">1288</span><span class="sd">     combined and returned.</span>
-<span class="g g-Whitespace">   </span><span class="mi">1289</span><span class="sd">     &quot;&quot;&quot;</span>
-<span class="ne">-&gt; </span><span class="mi">1290</span>     <span class="k">return</span> <span class="n">Store</span><span class="o">.</span><span class="n">render</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/core/options.py:1425,</span> in <span class="ni">Store.render</span><span class="nt">(cls, obj)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1423</span> <span class="n">data</span><span class="p">,</span> <span class="n">metadata</span> <span class="o">=</span> <span class="p">{},</span> <span class="p">{}</span>
-<span class="g g-Whitespace">   </span><span class="mi">1424</span> <span class="k">for</span> <span class="n">hook</span> <span class="ow">in</span> <span class="n">hooks</span><span class="p">:</span>
-<span class="ne">-&gt; </span><span class="mi">1425</span>     <span class="n">ret</span> <span class="o">=</span> <span class="n">hook</span><span class="p">(</span><span class="n">obj</span><span class="p">)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1426</span>     <span class="k">if</span> <span class="n">ret</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
-<span class="g g-Whitespace">   </span><span class="mi">1427</span>         <span class="k">continue</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:280,</span> in <span class="ni">pprint_display</span><span class="nt">(obj)</span>
-<span class="g g-Whitespace">    </span><span class="mi">278</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">ip</span><span class="o">.</span><span class="n">display_formatter</span><span class="o">.</span><span class="n">formatters</span><span class="p">[</span><span class="s1">&#39;text/plain&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">pprint</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">279</span>     <span class="k">return</span> <span class="kc">None</span>
-<span class="ne">--&gt; </span><span class="mi">280</span> <span class="k">return</span> <span class="n">display</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">raw_output</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:248,</span> in <span class="ni">display</span><span class="nt">(obj, raw_output, **kwargs)</span>
-<span class="g g-Whitespace">    </span><span class="mi">246</span> <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="p">(</span><span class="n">CompositeOverlay</span><span class="p">,</span> <span class="n">ViewableElement</span><span class="p">)):</span>
-<span class="g g-Whitespace">    </span><span class="mi">247</span>     <span class="k">with</span> <span class="n">option_state</span><span class="p">(</span><span class="n">obj</span><span class="p">):</span>
-<span class="ne">--&gt; </span><span class="mi">248</span>         <span class="n">output</span> <span class="o">=</span> <span class="n">element_display</span><span class="p">(</span><span class="n">obj</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">249</span> <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="p">(</span><span class="n">Layout</span><span class="p">,</span> <span class="n">NdLayout</span><span class="p">,</span> <span class="n">AdjointLayout</span><span class="p">)):</span>
-<span class="g g-Whitespace">    </span><span class="mi">250</span>     <span class="k">with</span> <span class="n">option_state</span><span class="p">(</span><span class="n">obj</span><span class="p">):</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:142,</span> in <span class="ni">display_hook.&lt;locals&gt;.wrapped</span><span class="nt">(element)</span>
-<span class="g g-Whitespace">    </span><span class="mi">140</span> <span class="k">try</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">141</span>     <span class="n">max_frames</span> <span class="o">=</span> <span class="n">OutputSettings</span><span class="o">.</span><span class="n">options</span><span class="p">[</span><span class="s1">&#39;max_frames&#39;</span><span class="p">]</span>
-<span class="ne">--&gt; </span><span class="mi">142</span>     <span class="n">mimebundle</span> <span class="o">=</span> <span class="n">fn</span><span class="p">(</span><span class="n">element</span><span class="p">,</span> <span class="n">max_frames</span><span class="o">=</span><span class="n">max_frames</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">143</span>     <span class="k">if</span> <span class="n">mimebundle</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">144</span>         <span class="k">return</span> <span class="p">{},</span> <span class="p">{}</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:188,</span> in <span class="ni">element_display</span><span class="nt">(element, max_frames)</span>
-<span class="g g-Whitespace">    </span><span class="mi">185</span> <span class="k">if</span> <span class="nb">type</span><span class="p">(</span><span class="n">element</span><span class="p">)</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">Store</span><span class="o">.</span><span class="n">registry</span><span class="p">[</span><span class="n">backend</span><span class="p">]:</span>
-<span class="g g-Whitespace">    </span><span class="mi">186</span>     <span class="k">return</span> <span class="kc">None</span>
-<span class="ne">--&gt; </span><span class="mi">188</span> <span class="k">return</span> <span class="n">render</span><span class="p">(</span><span class="n">element</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/ipython/display_hooks.py:69,</span> in <span class="ni">render</span><span class="nt">(obj, **kwargs)</span>
-<span class="g g-Whitespace">     </span><span class="mi">66</span> <span class="k">if</span> <span class="n">renderer</span><span class="o">.</span><span class="n">fig</span> <span class="o">==</span> <span class="s1">&#39;pdf&#39;</span><span class="p">:</span>
-<span class="g g-Whitespace">     </span><span class="mi">67</span>     <span class="n">renderer</span> <span class="o">=</span> <span class="n">renderer</span><span class="o">.</span><span class="n">instance</span><span class="p">(</span><span class="n">fig</span><span class="o">=</span><span class="s1">&#39;png&#39;</span><span class="p">)</span>
-<span class="ne">---&gt; </span><span class="mi">69</span> <span class="k">return</span> <span class="n">renderer</span><span class="o">.</span><span class="n">components</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/plotting/renderer.py:399,</span> in <span class="ni">Renderer.components</span><span class="nt">(self, obj, fmt, comm, **kwargs)</span>
-<span class="g g-Whitespace">    </span><span class="mi">396</span> <span class="n">embed</span> <span class="o">=</span> <span class="p">(</span><span class="ow">not</span> <span class="p">(</span><span class="n">dynamic</span> <span class="ow">or</span> <span class="n">streams</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">widget_mode</span> <span class="o">==</span> <span class="s1">&#39;live&#39;</span><span class="p">)</span> <span class="ow">or</span> <span class="n">config</span><span class="o">.</span><span class="n">embed</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">398</span> <span class="k">if</span> <span class="n">embed</span> <span class="ow">or</span> <span class="n">config</span><span class="o">.</span><span class="n">comms</span> <span class="o">==</span> <span class="s1">&#39;default&#39;</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">399</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_render_panel</span><span class="p">(</span><span class="n">plot</span><span class="p">,</span> <span class="n">embed</span><span class="p">,</span> <span class="n">comm</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">400</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_render_ipywidget</span><span class="p">(</span><span class="n">plot</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/plotting/renderer.py:406,</span> in <span class="ni">Renderer._render_panel</span><span class="nt">(self, plot, embed, comm)</span>
-<span class="g g-Whitespace">    </span><span class="mi">404</span> <span class="n">doc</span> <span class="o">=</span> <span class="n">Document</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">405</span> <span class="k">with</span> <span class="n">config</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">embed</span><span class="o">=</span><span class="n">embed</span><span class="p">):</span>
-<span class="ne">--&gt; </span><span class="mi">406</span>     <span class="n">model</span> <span class="o">=</span> <span class="n">plot</span><span class="o">.</span><span class="n">layout</span><span class="o">.</span><span class="n">_render_model</span><span class="p">(</span><span class="n">doc</span><span class="p">,</span> <span class="n">comm</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">407</span> <span class="k">if</span> <span class="n">embed</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">408</span>     <span class="k">return</span> <span class="n">render_model</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">comm</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/panel/viewable.py:736,</span> in <span class="ni">Viewable._render_model</span><span class="nt">(self, doc, comm)</span>
-<span class="g g-Whitespace">    </span><span class="mi">734</span> <span class="k">if</span> <span class="n">comm</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">735</span>     <span class="n">comm</span> <span class="o">=</span> <span class="n">state</span><span class="o">.</span><span class="n">_comm_manager</span><span class="o">.</span><span class="n">get_server_comm</span><span class="p">()</span>
-<span class="ne">--&gt; </span><span class="mi">736</span> <span class="n">model</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_root</span><span class="p">(</span><span class="n">doc</span><span class="p">,</span> <span class="n">comm</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">738</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_design</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">_design</span><span class="o">.</span><span class="n">theme</span><span class="o">.</span><span class="n">bokeh_theme</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">739</span>     <span class="n">doc</span><span class="o">.</span><span class="n">theme</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_design</span><span class="o">.</span><span class="n">theme</span><span class="o">.</span><span class="n">bokeh_theme</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/panel/layout/base.py:305,</span> in <span class="ni">Panel.get_root</span><span class="nt">(self, doc, comm, preprocess)</span>
-<span class="g g-Whitespace">    </span><span class="mi">301</span> <span class="k">def</span> <span class="nf">get_root</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">302</span>     <span class="bp">self</span><span class="p">,</span> <span class="n">doc</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Document</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">comm</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Comm</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">303</span>     <span class="n">preprocess</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
-<span class="g g-Whitespace">    </span><span class="mi">304</span> <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Model</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">305</span>     <span class="n">root</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">get_root</span><span class="p">(</span><span class="n">doc</span><span class="p">,</span> <span class="n">comm</span><span class="p">,</span> <span class="n">preprocess</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">306</span>     <span class="c1"># ALERT: Find a better way to handle this</span>
-<span class="g g-Whitespace">    </span><span class="mi">307</span>     <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">root</span><span class="p">,</span> <span class="s1">&#39;styles&#39;</span><span class="p">)</span> <span class="ow">and</span> <span class="s1">&#39;overflow-x&#39;</span> <span class="ow">in</span> <span class="n">root</span><span class="o">.</span><span class="n">styles</span><span class="p">:</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/panel/viewable.py:658,</span> in <span class="ni">Renderable.get_root</span><span class="nt">(self, doc, comm, preprocess)</span>
-<span class="g g-Whitespace">    </span><span class="mi">656</span> <span class="n">wrapper</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_design</span><span class="o">.</span><span class="n">_wrapper</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">657</span> <span class="k">if</span> <span class="n">wrapper</span> <span class="ow">is</span> <span class="bp">self</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">658</span>     <span class="n">root</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_model</span><span class="p">(</span><span class="n">doc</span><span class="p">,</span> <span class="n">comm</span><span class="o">=</span><span class="n">comm</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">659</span>     <span class="k">if</span> <span class="n">preprocess</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">660</span>         <span class="bp">self</span><span class="o">.</span><span class="n">_preprocess</span><span class="p">(</span><span class="n">root</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/panel/layout/base.py:173,</span> in <span class="ni">Panel._get_model</span><span class="nt">(self, doc, root, parent, comm)</span>
-<span class="g g-Whitespace">    </span><span class="mi">171</span> <span class="n">root</span> <span class="o">=</span> <span class="n">root</span> <span class="ow">or</span> <span class="n">model</span>
-<span class="g g-Whitespace">    </span><span class="mi">172</span> <span class="bp">self</span><span class="o">.</span><span class="n">_models</span><span class="p">[</span><span class="n">root</span><span class="o">.</span><span class="n">ref</span><span class="p">[</span><span class="s1">&#39;id&#39;</span><span class="p">]]</span> <span class="o">=</span> <span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">parent</span><span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">173</span> <span class="n">objects</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_objects</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="p">[],</span> <span class="n">doc</span><span class="p">,</span> <span class="n">root</span><span class="p">,</span> <span class="n">comm</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">174</span> <span class="n">props</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_properties</span><span class="p">(</span><span class="n">doc</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">175</span> <span class="n">props</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">_property_mapping</span><span class="p">[</span><span class="s1">&#39;objects&#39;</span><span class="p">]]</span> <span class="o">=</span> <span class="n">objects</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/panel/layout/base.py:155,</span> in <span class="ni">Panel._get_objects</span><span class="nt">(self, model, old_objects, doc, root, comm)</span>
-<span class="g g-Whitespace">    </span><span class="mi">153</span> <span class="k">else</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">154</span>     <span class="k">try</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">155</span>         <span class="n">child</span> <span class="o">=</span> <span class="n">pane</span><span class="o">.</span><span class="n">_get_model</span><span class="p">(</span><span class="n">doc</span><span class="p">,</span> <span class="n">root</span><span class="p">,</span> <span class="n">model</span><span class="p">,</span> <span class="n">comm</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">156</span>     <span class="k">except</span> <span class="n">RerenderError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">157</span>         <span class="k">if</span> <span class="n">e</span><span class="o">.</span><span class="n">layout</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">e</span><span class="o">.</span><span class="n">layout</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">self</span><span class="p">:</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/panel/pane/holoviews.py:411,</span> in <span class="ni">HoloViews._get_model</span><span class="nt">(self, doc, root, parent, comm)</span>
-<span class="g g-Whitespace">    </span><span class="mi">409</span>     <span class="n">plot</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">object</span>
-<span class="g g-Whitespace">    </span><span class="mi">410</span> <span class="k">else</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">411</span>     <span class="n">plot</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_render</span><span class="p">(</span><span class="n">doc</span><span class="p">,</span> <span class="n">comm</span><span class="p">,</span> <span class="n">root</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">413</span> <span class="n">plot</span><span class="o">.</span><span class="n">pane</span> <span class="o">=</span> <span class="bp">self</span>
-<span class="g g-Whitespace">    </span><span class="mi">414</span> <span class="n">backend</span> <span class="o">=</span> <span class="n">plot</span><span class="o">.</span><span class="n">renderer</span><span class="o">.</span><span class="n">backend</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/panel/pane/holoviews.py:506,</span> in <span class="ni">HoloViews._render</span><span class="nt">(self, doc, comm, root)</span>
-<span class="g g-Whitespace">    </span><span class="mi">503</span>     <span class="k">if</span> <span class="n">comm</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">504</span>         <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;comm&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">comm</span>
-<span class="ne">--&gt; </span><span class="mi">506</span> <span class="k">return</span> <span class="n">renderer</span><span class="o">.</span><span class="n">get_plot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">object</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/plotting/bokeh/renderer.py:70,</span> in <span class="ni">BokehRenderer.get_plot</span><span class="nt">(self_or_cls, obj, doc, renderer, **kwargs)</span>
-<span class="g g-Whitespace">     </span><span class="mi">63</span> <span class="nd">@bothmethod</span>
-<span class="g g-Whitespace">     </span><span class="mi">64</span> <span class="k">def</span> <span class="nf">get_plot</span><span class="p">(</span><span class="n">self_or_cls</span><span class="p">,</span> <span class="n">obj</span><span class="p">,</span> <span class="n">doc</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">renderer</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
-<span class="g g-Whitespace">     </span><span class="mi">65</span><span class="w">     </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="g g-Whitespace">     </span><span class="mi">66</span><span class="sd">     Given a HoloViews Viewable return a corresponding plot instance.</span>
-<span class="g g-Whitespace">     </span><span class="mi">67</span><span class="sd">     Allows supplying a document attach the plot to, useful when</span>
-<span class="g g-Whitespace">     </span><span class="mi">68</span><span class="sd">     combining the bokeh model with another plot.</span>
-<span class="g g-Whitespace">     </span><span class="mi">69</span><span class="sd">     &quot;&quot;&quot;</span>
-<span class="ne">---&gt; </span><span class="mi">70</span>     <span class="n">plot</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">get_plot</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">doc</span><span class="p">,</span> <span class="n">renderer</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-<span class="g g-Whitespace">     </span><span class="mi">71</span>     <span class="k">if</span> <span class="n">plot</span><span class="o">.</span><span class="n">document</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
-<span class="g g-Whitespace">     </span><span class="mi">72</span>         <span class="n">plot</span><span class="o">.</span><span class="n">document</span> <span class="o">=</span> <span class="n">Document</span><span class="p">()</span> <span class="k">if</span> <span class="n">self_or_cls</span><span class="o">.</span><span class="n">notebook_context</span> <span class="k">else</span> <span class="n">curdoc</span><span class="p">()</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/plotting/renderer.py:241,</span> in <span class="ni">Renderer.get_plot</span><span class="nt">(self_or_cls, obj, doc, renderer, comm, **kwargs)</span>
-<span class="g g-Whitespace">    </span><span class="mi">238</span>     <span class="n">defaults</span> <span class="o">=</span> <span class="p">[</span><span class="n">kd</span><span class="o">.</span><span class="n">default</span> <span class="k">for</span> <span class="n">kd</span> <span class="ow">in</span> <span class="n">plot</span><span class="o">.</span><span class="n">dimensions</span><span class="p">]</span>
-<span class="g g-Whitespace">    </span><span class="mi">239</span>     <span class="n">init_key</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">(</span><span class="n">v</span> <span class="k">if</span> <span class="n">d</span> <span class="ow">is</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">d</span> <span class="k">for</span> <span class="n">v</span><span class="p">,</span> <span class="n">d</span> <span class="ow">in</span>
-<span class="g g-Whitespace">    </span><span class="mi">240</span>                      <span class="nb">zip</span><span class="p">(</span><span class="n">plot</span><span class="o">.</span><span class="n">keys</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">defaults</span><span class="p">))</span>
-<span class="ne">--&gt; </span><span class="mi">241</span>     <span class="n">plot</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">init_key</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">242</span> <span class="k">else</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">243</span>     <span class="n">plot</span> <span class="o">=</span> <span class="n">obj</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/plotting/plot.py:936,</span> in <span class="ni">DimensionedPlot.update</span><span class="nt">(self, key)</span>
-<span class="g g-Whitespace">    </span><span class="mi">934</span> <span class="k">def</span> <span class="nf">update</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">key</span><span class="p">):</span>
-<span class="g g-Whitespace">    </span><span class="mi">935</span>     <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span> <span class="ow">and</span> <span class="p">((</span><span class="n">key</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span> <span class="ow">or</span> <span class="p">(</span><span class="n">key</span> <span class="o">==</span> <span class="bp">self</span><span class="o">.</span><span class="n">keys</span><span class="p">[</span><span class="mi">0</span><span class="p">]))</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">drawn</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">936</span>         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">initialize_plot</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">937</span>     <span class="n">item</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="fm">__getitem__</span><span class="p">(</span><span class="n">key</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">938</span>     <span class="bp">self</span><span class="o">.</span><span class="n">traverse</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="nb">setattr</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="s1">&#39;_updated&#39;</span><span class="p">,</span> <span class="kc">True</span><span class="p">))</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/geoviews/plotting/bokeh/plot.py:106,</span> in <span class="ni">GeoPlot.initialize_plot</span><span class="nt">(self, ranges, plot, plots, source)</span>
-<span class="g g-Whitespace">    </span><span class="mi">104</span> <span class="k">def</span> <span class="nf">initialize_plot</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ranges</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">plot</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">plots</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">source</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-<span class="g g-Whitespace">    </span><span class="mi">105</span>     <span class="n">opts</span> <span class="o">=</span> <span class="p">{}</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">HvOverlayPlot</span><span class="p">)</span> <span class="k">else</span> <span class="p">{</span><span class="s1">&#39;source&#39;</span><span class="p">:</span> <span class="n">source</span><span class="p">}</span>
-<span class="ne">--&gt; </span><span class="mi">106</span>     <span class="n">fig</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">initialize_plot</span><span class="p">(</span><span class="n">ranges</span><span class="p">,</span> <span class="n">plot</span><span class="p">,</span> <span class="n">plots</span><span class="p">,</span> <span class="o">**</span><span class="n">opts</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">107</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">geographic</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">show_bounds</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">overlaid</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">108</span>         <span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">GeoShapePlot</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/plotting/bokeh/element.py:2506,</span> in <span class="ni">OverlayPlot.initialize_plot</span><span class="nt">(self, ranges, plot, plots)</span>
-<span class="g g-Whitespace">   </span><span class="mi">2504</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">tabs</span><span class="p">:</span>
-<span class="g g-Whitespace">   </span><span class="mi">2505</span>     <span class="n">subplot</span><span class="o">.</span><span class="n">overlaid</span> <span class="o">=</span> <span class="kc">False</span>
-<span class="ne">-&gt; </span><span class="mi">2506</span> <span class="n">child</span> <span class="o">=</span> <span class="n">subplot</span><span class="o">.</span><span class="n">initialize_plot</span><span class="p">(</span><span class="n">ranges</span><span class="p">,</span> <span class="n">plot</span><span class="p">,</span> <span class="n">plots</span><span class="p">)</span>
-<span class="g g-Whitespace">   </span><span class="mi">2507</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">element</span><span class="p">,</span> <span class="n">CompositeOverlay</span><span class="p">):</span>
-<span class="g g-Whitespace">   </span><span class="mi">2508</span>     <span class="c1"># Ensure that all subplots are in the same state</span>
-<span class="g g-Whitespace">   </span><span class="mi">2509</span>     <span class="n">frame</span> <span class="o">=</span> <span class="n">element</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">key</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/geoviews/plotting/bokeh/plot.py:106,</span> in <span class="ni">GeoPlot.initialize_plot</span><span class="nt">(self, ranges, plot, plots, source)</span>
-<span class="g g-Whitespace">    </span><span class="mi">104</span> <span class="k">def</span> <span class="nf">initialize_plot</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">ranges</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">plot</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">plots</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">source</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
-<span class="g g-Whitespace">    </span><span class="mi">105</span>     <span class="n">opts</span> <span class="o">=</span> <span class="p">{}</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">HvOverlayPlot</span><span class="p">)</span> <span class="k">else</span> <span class="p">{</span><span class="s1">&#39;source&#39;</span><span class="p">:</span> <span class="n">source</span><span class="p">}</span>
-<span class="ne">--&gt; </span><span class="mi">106</span>     <span class="n">fig</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">initialize_plot</span><span class="p">(</span><span class="n">ranges</span><span class="p">,</span> <span class="n">plot</span><span class="p">,</span> <span class="n">plots</span><span class="p">,</span> <span class="o">**</span><span class="n">opts</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">107</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">geographic</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">show_bounds</span> <span class="ow">and</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">overlaid</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">108</span>         <span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">GeoShapePlot</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/plotting/bokeh/element.py:1527,</span> in <span class="ni">ElementPlot.initialize_plot</span><span class="nt">(self, ranges, plot, plots, source)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1525</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">autorange</span><span class="p">:</span>
-<span class="g g-Whitespace">   </span><span class="mi">1526</span>     <span class="bp">self</span><span class="o">.</span><span class="n">_setup_autorange</span><span class="p">()</span>
-<span class="ne">-&gt; </span><span class="mi">1527</span> <span class="bp">self</span><span class="o">.</span><span class="n">_init_glyphs</span><span class="p">(</span><span class="n">plot</span><span class="p">,</span> <span class="n">element</span><span class="p">,</span> <span class="n">ranges</span><span class="p">,</span> <span class="n">source</span><span class="p">)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1528</span> <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">overlaid</span><span class="p">:</span>
-<span class="g g-Whitespace">   </span><span class="mi">1529</span>     <span class="bp">self</span><span class="o">.</span><span class="n">_update_plot</span><span class="p">(</span><span class="n">key</span><span class="p">,</span> <span class="n">plot</span><span class="p">,</span> <span class="n">style_element</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/plotting/bokeh/element.py:1469,</span> in <span class="ni">ElementPlot._init_glyphs</span><span class="nt">(self, plot, element, ranges, source)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1467</span> <span class="k">else</span><span class="p">:</span>
-<span class="g g-Whitespace">   </span><span class="mi">1468</span>     <span class="n">style</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">style</span><span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">cyclic_index</span><span class="p">]</span>
-<span class="ne">-&gt; </span><span class="mi">1469</span>     <span class="n">data</span><span class="p">,</span> <span class="n">mapping</span><span class="p">,</span> <span class="n">style</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_data</span><span class="p">(</span><span class="n">element</span><span class="p">,</span> <span class="n">ranges</span><span class="p">,</span> <span class="n">style</span><span class="p">)</span>
-<span class="g g-Whitespace">   </span><span class="mi">1470</span>     <span class="n">current_id</span> <span class="o">=</span> <span class="n">element</span><span class="o">.</span><span class="n">_plot_id</span>
-<span class="g g-Whitespace">   </span><span class="mi">1472</span> <span class="k">with</span> <span class="n">abbreviated_exception</span><span class="p">():</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/geoviews/plotting/bokeh/plot.py:162,</span> in <span class="ni">GeoPlot.get_data</span><span class="nt">(self, element, ranges, style)</span>
-<span class="g g-Whitespace">    </span><span class="mi">160</span> <span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">element</span><span class="p">,</span> <span class="n">ranges</span><span class="p">,</span> <span class="n">style</span><span class="p">):</span>
-<span class="g g-Whitespace">    </span><span class="mi">161</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">_project_operation</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">geographic</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">162</span>         <span class="n">element</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_project_operation</span><span class="p">(</span><span class="n">element</span><span class="p">,</span> <span class="n">projection</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">projection</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">163</span>     <span class="k">return</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">get_data</span><span class="p">(</span><span class="n">element</span><span class="p">,</span> <span class="n">ranges</span><span class="p">,</span> <span class="n">style</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/core/operation.py:220,</span> in <span class="ni">Operation.__call__</span><span class="nt">(self, element, **kwargs)</span>
-<span class="g g-Whitespace">    </span><span class="mi">218</span> <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;link_dataset&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_propagate_dataset</span>
-<span class="g g-Whitespace">    </span><span class="mi">219</span> <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;link_inputs&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="o">.</span><span class="n">link_inputs</span>
-<span class="ne">--&gt; </span><span class="mi">220</span> <span class="k">return</span> <span class="n">element</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/core/accessors.py:43,</span> in <span class="ni">AccessorPipelineMeta.pipelined.&lt;locals&gt;.pipelined_call</span><span class="nt">(*args, **kwargs)</span>
-<span class="g g-Whitespace">     </span><span class="mi">40</span>     <span class="n">inst</span><span class="o">.</span><span class="n">_obj</span><span class="o">.</span><span class="n">_in_method</span> <span class="o">=</span> <span class="kc">True</span>
-<span class="g g-Whitespace">     </span><span class="mi">42</span> <span class="k">try</span><span class="p">:</span>
-<span class="ne">---&gt; </span><span class="mi">43</span>     <span class="n">result</span> <span class="o">=</span> <span class="fm">__call__</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-<span class="g g-Whitespace">     </span><span class="mi">45</span>     <span class="k">if</span> <span class="ow">not</span> <span class="n">in_method</span><span class="p">:</span>
-<span class="g g-Whitespace">     </span><span class="mi">46</span>         <span class="n">init_op</span> <span class="o">=</span> <span class="n">factory</span><span class="o">.</span><span class="n">instance</span><span class="p">(</span>
-<span class="g g-Whitespace">     </span><span class="mi">47</span>             <span class="n">output_type</span><span class="o">=</span><span class="nb">type</span><span class="p">(</span><span class="n">inst</span><span class="p">),</span>
-<span class="g g-Whitespace">     </span><span class="mi">48</span>             <span class="n">kwargs</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;mode&#39;</span><span class="p">:</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">inst</span><span class="p">,</span> <span class="s1">&#39;mode&#39;</span><span class="p">,</span> <span class="kc">None</span><span class="p">)},</span>
-<span class="g g-Whitespace">     </span><span class="mi">49</span>         <span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/core/accessors.py:199,</span> in <span class="ni">Apply.__call__</span><span class="nt">(self, apply_function, streams, link_inputs, link_dataset, dynamic, per_element, **kwargs)</span>
-<span class="g g-Whitespace">    </span><span class="mi">197</span> <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">apply_function</span><span class="p">,</span> <span class="s1">&#39;dynamic&#39;</span><span class="p">):</span>
-<span class="g g-Whitespace">    </span><span class="mi">198</span>     <span class="n">inner_kwargs</span><span class="p">[</span><span class="s1">&#39;dynamic&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="kc">False</span>
-<span class="ne">--&gt; </span><span class="mi">199</span> <span class="n">new_obj</span> <span class="o">=</span> <span class="n">apply_function</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_obj</span><span class="p">,</span> <span class="o">**</span><span class="n">inner_kwargs</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">200</span> <span class="k">if</span> <span class="p">(</span><span class="n">link_dataset</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_obj</span><span class="p">,</span> <span class="n">Dataset</span><span class="p">)</span> <span class="ow">and</span>
-<span class="g g-Whitespace">    </span><span class="mi">201</span>     <span class="nb">isinstance</span><span class="p">(</span><span class="n">new_obj</span><span class="p">,</span> <span class="n">Dataset</span><span class="p">)</span> <span class="ow">and</span> <span class="n">new_obj</span><span class="o">.</span><span class="n">_dataset</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">):</span>
-<span class="g g-Whitespace">    </span><span class="mi">202</span>     <span class="n">new_obj</span><span class="o">.</span><span class="n">_dataset</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_obj</span><span class="o">.</span><span class="n">dataset</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/core/operation.py:214,</span> in <span class="ni">Operation.__call__</span><span class="nt">(self, element, **kwargs)</span>
-<span class="g g-Whitespace">    </span><span class="mi">210</span>         <span class="k">return</span> <span class="n">element</span><span class="o">.</span><span class="n">clone</span><span class="p">([(</span><span class="n">k</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_apply</span><span class="p">(</span><span class="n">el</span><span class="p">,</span> <span class="n">key</span><span class="o">=</span><span class="n">k</span><span class="p">))</span>
-<span class="nn">    211                               for k, el</span> in <span class="ni">element.items</span><span class="nt">()])</span>
-<span class="g g-Whitespace">    </span><span class="mi">212</span>     <span class="k">elif</span> <span class="p">((</span><span class="bp">self</span><span class="o">.</span><span class="n">_per_element</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">element</span><span class="p">,</span> <span class="n">Element</span><span class="p">))</span> <span class="ow">or</span>
-<span class="g g-Whitespace">    </span><span class="mi">213</span>           <span class="p">(</span><span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">_per_element</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">element</span><span class="p">,</span> <span class="n">ViewableElement</span><span class="p">))):</span>
-<span class="ne">--&gt; </span><span class="mi">214</span>         <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_apply</span><span class="p">(</span><span class="n">element</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">215</span> <span class="k">elif</span> <span class="s1">&#39;streams&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">216</span>     <span class="n">kwargs</span><span class="p">[</span><span class="s1">&#39;streams&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="o">.</span><span class="n">streams</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/holoviews/core/operation.py:141,</span> in <span class="ni">Operation._apply</span><span class="nt">(self, element, key)</span>
-<span class="g g-Whitespace">    </span><span class="mi">139</span>     <span class="k">if</span> <span class="ow">not</span> <span class="n">in_method</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">140</span>         <span class="n">element</span><span class="o">.</span><span class="n">_in_method</span> <span class="o">=</span> <span class="kc">True</span>
-<span class="ne">--&gt; </span><span class="mi">141</span> <span class="n">ret</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_process</span><span class="p">(</span><span class="n">element</span><span class="p">,</span> <span class="n">key</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">142</span> <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">element</span><span class="p">,</span> <span class="s1">&#39;_in_method&#39;</span><span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">in_method</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">143</span>     <span class="n">element</span><span class="o">.</span><span class="n">_in_method</span> <span class="o">=</span> <span class="n">in_method</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/geoviews/operation/projection.py:354,</span> in <span class="ni">project_image._process</span><span class="nt">(self, img, key)</span>
-<span class="g g-Whitespace">    </span><span class="mi">352</span> <span class="n">arr</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span class="n">dimension_values</span><span class="p">(</span><span class="n">vd</span><span class="p">,</span> <span class="n">flat</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">353</span> <span class="k">if</span> <span class="n">arr</span><span class="o">.</span><span class="n">size</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">354</span>     <span class="n">projected</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">warp_array</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="n">proj</span><span class="p">,</span> <span class="n">img</span><span class="o">.</span><span class="n">crs</span><span class="p">,</span> <span class="p">(</span><span class="n">xn</span><span class="p">,</span> <span class="n">yn</span><span class="p">),</span>
-<span class="g g-Whitespace">    </span><span class="mi">355</span>                               <span class="n">src_extent</span><span class="p">,</span> <span class="n">tgt_extent</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">356</span> <span class="k">else</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">357</span>     <span class="n">projected</span> <span class="o">=</span> <span class="n">arr</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/cartopy/img_transform.py:192,</span> in <span class="ni">warp_array</span><span class="nt">(array, target_proj, source_proj, target_res, source_extent, target_extent, mask_extrapolated)</span>
-<span class="g g-Whitespace">    </span><span class="mi">186</span> <span class="c1"># XXX Take into account the extents of the original to determine</span>
-<span class="g g-Whitespace">    </span><span class="mi">187</span> <span class="c1"># target_extents?</span>
-<span class="g g-Whitespace">    </span><span class="mi">188</span> <span class="n">target_native_x</span><span class="p">,</span> <span class="n">target_native_y</span><span class="p">,</span> <span class="n">extent</span> <span class="o">=</span> <span class="n">mesh_projection</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">189</span>     <span class="n">target_proj</span><span class="p">,</span> <span class="n">target_res</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">target_res</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
-<span class="g g-Whitespace">    </span><span class="mi">190</span>     <span class="n">x_extents</span><span class="o">=</span><span class="n">target_x_extents</span><span class="p">,</span> <span class="n">y_extents</span><span class="o">=</span><span class="n">target_y_extents</span><span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">192</span> <span class="n">array</span> <span class="o">=</span> <span class="n">regrid</span><span class="p">(</span><span class="n">array</span><span class="p">,</span> <span class="n">source_native_xy</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">source_native_xy</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
-<span class="g g-Whitespace">    </span><span class="mi">193</span>                <span class="n">source_proj</span><span class="p">,</span> <span class="n">target_proj</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">194</span>                <span class="n">target_native_x</span><span class="p">,</span> <span class="n">target_native_y</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">195</span>                <span class="n">mask_extrapolated</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">196</span> <span class="k">return</span> <span class="n">array</span><span class="p">,</span> <span class="n">extent</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/cartopy/img_transform.py:278,</span> in <span class="ni">regrid</span><span class="nt">(array, source_x_coords, source_y_coords, source_proj, target_proj, target_x_points, target_y_points, mask_extrapolated)</span>
-<span class="g g-Whitespace">    </span><span class="mi">274</span> <span class="k">else</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">275</span>     <span class="c1"># Versions of scipy &gt;= v0.16 added the balanced_tree argument,</span>
-<span class="g g-Whitespace">    </span><span class="mi">276</span>     <span class="c1"># which caused the KDTree to hang with this input.</span>
-<span class="g g-Whitespace">    </span><span class="mi">277</span>     <span class="n">kdtree</span> <span class="o">=</span> <span class="n">scipy</span><span class="o">.</span><span class="n">spatial</span><span class="o">.</span><span class="n">cKDTree</span><span class="p">(</span><span class="n">xyz</span><span class="p">,</span> <span class="n">balanced_tree</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">278</span>     <span class="n">_</span><span class="p">,</span> <span class="n">indices</span> <span class="o">=</span> <span class="n">kdtree</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="n">target_xyz</span><span class="p">,</span> <span class="n">k</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">279</span> <span class="n">mask</span> <span class="o">=</span> <span class="n">indices</span> <span class="o">&gt;=</span> <span class="nb">len</span><span class="p">(</span><span class="n">xyz</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">280</span> <span class="n">indices</span><span class="p">[</span><span class="n">mask</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span>
-
-<span class="nn">File _ckdtree.pyx:795,</span> in <span class="ni">scipy.spatial._ckdtree.cKDTree.query</span><span class="nt">()</span>
-
-<span class="ne">ValueError</span>: &#39;x&#39; must be finite, check for nan or inf values
-</pre></div>
-</div>
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>:Overlay
-   .Image.I     :Image   [lon,lat]   (Tair)
-   .Coastline.I :Feature   [Longitude,Latitude]
-</pre></div>
-</div>
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+  }
+  function get_bokeh(root) {
+    if (root.Bokeh === undefined) {
+      return null
+    } else if (root.Bokeh.version !== py_version) {
+      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
+	return null
+      }
+      return root.Bokeh.versions.get(py_version);
+    } else if (root.Bokeh.version === py_version) {
+      return root.Bokeh
+    }
+    return null
+  }
+  function is_loaded(root) {
+    var Bokeh = get_bokeh(root)
+    return (Bokeh != null && Bokeh.Panel !== undefined)
+  }
+  if (is_loaded(root)) {
+    embed_document(root);
+  } else {
+    var attempts = 0;
+    var timer = setInterval(function(root) {
+      if (is_loaded(root)) {
+        clearInterval(timer);
+        embed_document(root);
+      } else if (document.readyState == "complete") {
+        attempts++;
+        if (attempts > 200) {
+          clearInterval(timer);
+	  var Bokeh = get_bokeh(root)
+	  if (Bokeh == null || Bokeh.Panel == null) {
+            console.warn("Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing");
+	  } else {
+	    console.warn("Panel: WARNING: Attempting to render but not all required libraries could be resolved.")
+	    embed_document(root)
+	  }
+        }
+      }
+    }, 25, root)
+  }
+})(window);</script></div></div>
 </div>
 </section>
 </section>
@@ -1775,11 +1654,10 @@ <h2>Geography<a class="headerlink" href="#geography" title="Permalink to this he
 
               
               
-                <footer class="bd-footer-article">
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@@ -1799,10 +1677,7 @@ <h2>Geography<a class="headerlink" href="#geography" title="Permalink to this he
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                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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@@ -1842,6 +1718,7 @@ <h2>Geography<a class="headerlink" href="#geography" title="Permalink to this he
   
   <div class="footer-item">
     
+
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diff --git a/intermediate/indexing/advanced-indexing.html b/intermediate/indexing/advanced-indexing.html
index f11bfcad..447a91f6 100644
--- a/intermediate/indexing/advanced-indexing.html
+++ b/intermediate/indexing/advanced-indexing.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
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-  <link href="../../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
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+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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-<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.1.2/webfonts/fa-regular-400.woff2" />
+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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@@ -40,12 +40,14 @@
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+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
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+    <script src="../../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../../_static/doctools.js"></script>
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     <script src="../../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
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+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
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@@ -118,12 +128,15 @@
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   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
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+      
+      
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@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
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@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
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+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
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+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
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@@ -516,18 +533,18 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="advanced-indexing">
-<h1>Advanced Indexing<a class="headerlink" href="#advanced-indexing" title="Permalink to this headline">#</a></h1>
+<h1>Advanced Indexing<a class="headerlink" href="#advanced-indexing" title="Permalink to this heading">#</a></h1>
 <section id="learning-objectives">
-<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this headline">#</a></h2>
+<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>Orthogonal vs. Vectorized and Pointwise Indexing</p></li>
 </ul>
 </section>
 <section id="overview">
-<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this headline">#</a></h2>
+<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this heading">#</a></h2>
 <p>In the previous notebooks, we learned basic forms of indexing with xarray (positional and name based dimensions, integer and label based indexing), Datetime Indexing, and nearest neighbor lookups. In this tutorial, we will learn how Xarray indexing is different from Numpy and how to do vectorized/pointwise indexing using Xarray.
 First, let’s import packages needed for this repository:</p>
 <div class="cell docutils container">
@@ -924,17 +941,17 @@ <h2>Overview<a class="headerlink" href="#overview" title="Permalink to this head
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Data variables:
     air      (time, lat, lon) float32 241.2 242.5 243.5 ... 296.5 296.2 295.7
-Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-792a752a-e44f-4042-8fba-02fc5288e6e5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-792a752a-e44f-4042-8fba-02fc5288e6e5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5e8e1efa-2d88-4008-836a-f316066af968' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5e8e1efa-2d88-4008-836a-f316066af968' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-274a2e04-52a8-4722-88cb-d0ac54fe835e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-274a2e04-52a8-4722-88cb-d0ac54fe835e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47202169-46f7-4ccd-9b2c-9be58e6ae1de' class='xr-var-data-in' type='checkbox'><label for='data-47202169-46f7-4ccd-9b2c-9be58e6ae1de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+Attributes: (5)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0405843c-33f9-4e59-baa2-0c4af1080d5a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0405843c-33f9-4e59-baa2-0c4af1080d5a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2cc0e194-e746-4afa-ae20-495e18adca30' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2cc0e194-e746-4afa-ae20-495e18adca30' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-3e2afcc5-d869-49de-989b-5a74d01ab7e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e2afcc5-d869-49de-989b-5a74d01ab7e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ac26ea0-bf2c-4b6c-b9a6-8321cceb1475' class='xr-var-data-in' type='checkbox'><label for='data-3ac26ea0-bf2c-4b6c-b9a6-8321cceb1475' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-fb99e1ea-97b7-433f-b0dc-cb8a5702936b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb99e1ea-97b7-433f-b0dc-cb8a5702936b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a733e913-838d-47e5-840a-966b6174c827' class='xr-var-data-in' type='checkbox'><label for='data-a733e913-838d-47e5-840a-966b6174c827' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-75060074-252e-4338-aad8-ef441bd651c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75060074-252e-4338-aad8-ef441bd651c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91125bb6-2c75-47ad-bc57-3f9f27831336' class='xr-var-data-in' type='checkbox'><label for='data-91125bb6-2c75-47ad-bc57-3f9f27831336' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9371ef6d-7c9a-4ddb-9fad-dad81c9689fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9371ef6d-7c9a-4ddb-9fad-dad81c9689fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfb9f5c0-62e6-449d-b2d3-3c9872c2ebed' class='xr-var-data-in' type='checkbox'><label for='data-bfb9f5c0-62e6-449d-b2d3-3c9872c2ebed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-509858a6-2673-436d-a88b-ea69eff63263' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-509858a6-2673-436d-a88b-ea69eff63263' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a31a95be-2c78-4ca9-a902-138aca2ec15e' class='xr-var-data-in' type='checkbox'><label for='data-a31a95be-2c78-4ca9-a902-138aca2ec15e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fafc4aee-55a3-4d57-ae10-86cfed36179b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fafc4aee-55a3-4d57-ae10-86cfed36179b' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-a6cd8eb9-90cb-4418-a0b9-4dae5c2ad161' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6cd8eb9-90cb-4418-a0b9-4dae5c2ad161' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45b1b84e-e4bc-4e77-ae11-92192de26de9' class='xr-var-data-in' type='checkbox'><label for='data-45b1b84e-e4bc-4e77-ae11-92192de26de9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , ..., 235.5    , 238.59999],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-47c6eadd-55e5-4d80-bf7f-960bd4daf2a6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-47c6eadd-55e5-4d80-bf7f-960bd4daf2a6' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-13d206f4-ccef-4681-98d8-7d937bce5071' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13d206f4-ccef-4681-98d8-7d937bce5071' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1964020-3661-4e19-a111-378a4f4672d5' class='xr-var-data-in' type='checkbox'><label for='data-d1964020-3661-4e19-a111-378a4f4672d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , ..., 235.5    , 238.59999],
         [243.79999, 244.5    , ..., 235.29999, 239.29999],
         ...,
         [295.9    , 296.19998, ..., 295.9    , 295.19998],
@@ -958,16 +975,16 @@ <h2>Overview<a class="headerlink" href="#overview" title="Permalink to this head
         [249.89   , 249.29   , ..., 240.29   , 241.68999],
         ...,
         [296.09   , 296.88998, ..., 295.69   , 295.19   ],
-        [297.69   , 298.09   , ..., 296.19   , 295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-13fbb9e6-ba03-4afe-a7a5-01b991beabea' class='xr-section-summary-in' type='checkbox'  ><label for='section-13fbb9e6-ba03-4afe-a7a5-01b991beabea' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e3173aac-0e2b-4d1d-964a-b1164c7b04f8' class='xr-index-data-in' type='checkbox'/><label for='index-e3173aac-0e2b-4d1d-964a-b1164c7b04f8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+        [297.69   , 298.09   , ..., 296.19   , 295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5a1baaca-4c1f-449e-9265-7f4e6da3226d' class='xr-section-summary-in' type='checkbox'  ><label for='section-5a1baaca-4c1f-449e-9265-7f4e6da3226d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-48df1b21-7083-44be-8382-6dfe7dd60f1e' class='xr-index-data-in' type='checkbox'/><label for='index-48df1b21-7083-44be-8382-6dfe7dd60f1e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7350de1b-37a3-4746-899d-12f70d993b49' class='xr-index-data-in' type='checkbox'/><label for='index-7350de1b-37a3-4746-899d-12f70d993b49' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a40eabb8-1756-4bae-86ea-2d74d3f708a6' class='xr-index-data-in' type='checkbox'/><label for='index-a40eabb8-1756-4bae-86ea-2d74d3f708a6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-48aecffb-87ac-4389-aaa8-83159d05b603' class='xr-index-data-in' type='checkbox'/><label for='index-48aecffb-87ac-4389-aaa8-83159d05b603' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-573c3bb9-937f-4463-bf68-84f280d8c8b4' class='xr-index-data-in' type='checkbox'/><label for='index-573c3bb9-937f-4463-bf68-84f280d8c8b4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -978,12 +995,12 @@ <h2>Overview<a class="headerlink" href="#overview" title="Permalink to this head
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77fcca03-cd0c-4573-891c-565621511faa' class='xr-section-summary-in' type='checkbox'  ><label for='section-77fcca03-cd0c-4573-891c-565621511faa' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-080503e3-d71c-47aa-9007-06996d121fb1' class='xr-section-summary-in' type='checkbox'  ><label for='section-080503e3-d71c-47aa-9007-06996d121fb1' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="orthogonal-indexing">
-<h2>Orthogonal Indexing<a class="headerlink" href="#orthogonal-indexing" title="Permalink to this headline">#</a></h2>
+<h2>Orthogonal Indexing<a class="headerlink" href="#orthogonal-indexing" title="Permalink to this heading">#</a></h2>
 <p>As we learned in the previous tutorial, positional indexing deviates from the behavior exhibited by NumPy when indexing with multiple arrays. However, Xarray pointwise indexing supports the indexing along multiple labeled dimensions using list-like objects similar to NumPy indexing behavior.</p>
 <p>If you only provide integers, slices, or unlabeled arrays (array without dimension names, such as <code class="docutils literal notranslate"><span class="pre">np.ndarray</span></code>, <code class="docutils literal notranslate"><span class="pre">list</span></code>, but not <code class="docutils literal notranslate"><span class="pre">DataArray()</span></code>) indexing can be understood as orthogonally (i.e. along independent axes, instead of using NumPy’s broadcasting rules to vectorize indexers).</p>
 <p><em>Orthogonal</em> or <em>outer</em> indexing considers one-dimensional arrays in the same way as slices when deciding the output shapes. The principle of outer or orthogonal indexing is that the result mirrors the effect of independently indexing along each dimension with integer or boolean arrays, treating both the indexed and indexing arrays as one-dimensional. This method of indexing is analogous to vector indexing in programming languages like MATLAB, Fortran, and R, where each indexer component <em>independently</em> selects along its corresponding dimension.</p>
@@ -995,7 +1012,7 @@ <h2>Orthogonal Indexing<a class="headerlink" href="#orthogonal-indexing" title="
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/48eb576f846d4adbf15c057c10ecd763bd36c24654e68ec51e4587cc71f36e61.png" src="../../_images/48eb576f846d4adbf15c057c10ecd763bd36c24654e68ec51e4587cc71f36e61.png" />
+<img alt="../../_images/ea2d193ea11b3615547f0c8497c6349ad9047741ed62edd2a9775ea34038b56f.png" src="../../_images/ea2d193ea11b3615547f0c8497c6349ad9047741ed62edd2a9775ea34038b56f.png" />
 </div>
 </div>
 <p>For more flexibility, you can supply <code class="docutils literal notranslate"><span class="pre">DataArray()</span></code> objects as indexers. Dimensions on resultant arrays are given by the ordered union of the indexers’ dimensions:</p>
@@ -1400,7 +1417,7 @@ <h2>Orthogonal Indexing<a class="headerlink" href="#orthogonal-indexing" title="
     lon      (degrees_east) float32 200.0 200.0 202.5 205.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Dimensions without coordinates: degrees_north, degrees_east
-Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span>degrees_north</span>: 4</li><li><span>degrees_east</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-81a08bb0-0da7-442d-b574-c5dac1dd6661' class='xr-array-in' type='checkbox' checked><label for='section-81a08bb0-0da7-442d-b574-c5dac1dd6661' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>293.1 293.1 293.3 293.3 284.6 284.6 ... 281.0 281.4 281.4 280.6 281.0</span></div><div class='xr-array-data'><pre>array([[[293.1    , 293.1    , 293.29   , 293.29   ],
+Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span>degrees_north</span>: 4</li><li><span>degrees_east</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c1bdcfa5-8c74-4fb2-a6cc-535a74549b2b' class='xr-array-in' type='checkbox' checked><label for='section-c1bdcfa5-8c74-4fb2-a6cc-535a74549b2b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>293.1 293.1 293.3 293.3 284.6 284.6 ... 281.0 281.4 281.4 280.6 281.0</span></div><div class='xr-array-data'><pre>array([[[293.1    , 293.1    , 293.29   , 293.29   ],
         [284.6    , 284.6    , 284.9    , 284.19998],
         [282.79   , 282.79   , 283.19998, 282.6    ],
         [282.79   , 282.79   , 283.19998, 282.6    ]],
@@ -1420,10 +1437,10 @@ <h2>Orthogonal Indexing<a class="headerlink" href="#orthogonal-indexing" title="
        [[289.49   , 289.49   , 290.38998, 291.59   ],
         [282.09   , 282.09   , 281.99   , 283.09   ],
         [281.38998, 281.38998, 280.59   , 280.99   ],
-        [281.38998, 281.38998, 280.59   , 280.99   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-69c3e68a-df83-4c6e-8417-ccc42356884f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-69c3e68a-df83-4c6e-8417-ccc42356884f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(degrees_north)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>30.0 40.0 42.5 42.5</div><input id='attrs-d3cfeb85-cb29-4cf7-9acb-cd7688fdabd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3cfeb85-cb29-4cf7-9acb-cd7688fdabd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b3e1a3a-c620-4e60-9e7c-4aa1df97ab6a' class='xr-var-data-in' type='checkbox'><label for='data-8b3e1a3a-c620-4e60-9e7c-4aa1df97ab6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([30. , 40. , 42.5, 42.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(degrees_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 202.5 205.0</div><input id='attrs-a7711275-c49d-42dd-8718-d0eefd902599' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7711275-c49d-42dd-8718-d0eefd902599' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aee7eb66-9775-43c6-b70a-7d9476abf472' class='xr-var-data-in' type='checkbox'><label for='data-aee7eb66-9775-43c6-b70a-7d9476abf472' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-194829b0-fb9a-4d4c-9930-64240162d375' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-194829b0-fb9a-4d4c-9930-64240162d375' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51f21afb-5aef-4432-8398-0b440641eb56' class='xr-var-data-in' type='checkbox'><label for='data-51f21afb-5aef-4432-8398-0b440641eb56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+        [281.38998, 281.38998, 280.59   , 280.99   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-bac582cd-dca3-42e6-ae37-00d7cee16dfa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bac582cd-dca3-42e6-ae37-00d7cee16dfa' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(degrees_north)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>30.0 40.0 42.5 42.5</div><input id='attrs-f8cacdc8-cfbf-4205-8991-d03d35803eeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f8cacdc8-cfbf-4205-8991-d03d35803eeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6004311-dc9e-4579-9e9c-da9b7e3b60ef' class='xr-var-data-in' type='checkbox'><label for='data-a6004311-dc9e-4579-9e9c-da9b7e3b60ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([30. , 40. , 42.5, 42.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(degrees_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 202.5 205.0</div><input id='attrs-9609533d-5474-4070-b86a-93a1896626e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9609533d-5474-4070-b86a-93a1896626e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7421fbf7-8b85-4e6f-bfbf-95c3560618be' class='xr-var-data-in' type='checkbox'><label for='data-7421fbf7-8b85-4e6f-bfbf-95c3560618be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-b2c04aa3-3437-49fb-ae5e-c989191b969e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2c04aa3-3437-49fb-ae5e-c989191b969e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e0d8702d-11d7-418b-94ad-1b2664585a4b' class='xr-var-data-in' type='checkbox'><label for='data-e0d8702d-11d7-418b-94ad-1b2664585a4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-77fb8d7b-5745-491a-baa2-30123f5cf525' class='xr-section-summary-in' type='checkbox'  ><label for='section-77fb8d7b-5745-491a-baa2-30123f5cf525' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-97a9a50d-8f2c-466d-a5e6-795a0bb53472' class='xr-index-data-in' type='checkbox'/><label for='index-97a9a50d-8f2c-466d-a5e6-795a0bb53472' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba974cd4-80e7-48c4-bae3-920c24d6cb65' class='xr-section-summary-in' type='checkbox'  ><label for='section-ba974cd4-80e7-48c4-bae3-920c24d6cb65' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ced4704c-e8c5-4c1b-9de4-0b2626e9f891' class='xr-index-data-in' type='checkbox'/><label for='index-ced4704c-e8c5-4c1b-9de4-0b2626e9f891' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1434,7 +1451,7 @@ <h2>Orthogonal Indexing<a class="headerlink" href="#orthogonal-indexing" title="
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-95e27fce-a8d3-4809-8a82-b32cb76f1551' class='xr-section-summary-in' type='checkbox'  ><label for='section-95e27fce-a8d3-4809-8a82-b32cb76f1551' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d12c3e0-b50e-480a-b5ce-f03e65b3a6f8' class='xr-section-summary-in' type='checkbox'  ><label for='section-6d12c3e0-b50e-480a-b5ce-f03e65b3a6f8' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1836,7 +1853,7 @@ <h2>Orthogonal Indexing<a class="headerlink" href="#orthogonal-indexing" title="
     lon      (degrees_east) float32 200.0 200.0 202.5 205.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Dimensions without coordinates: degrees_north, degrees_east
-Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span>degrees_north</span>: 4</li><li><span>degrees_east</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3e17da02-88b8-490f-9045-538f3a2e1cf9' class='xr-array-in' type='checkbox' checked><label for='section-3e17da02-88b8-490f-9045-538f3a2e1cf9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>293.1 293.1 293.3 293.3 284.6 284.6 ... 281.0 281.4 281.4 280.6 281.0</span></div><div class='xr-array-data'><pre>array([[[293.1    , 293.1    , 293.29   , 293.29   ],
+Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span>degrees_north</span>: 4</li><li><span>degrees_east</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7771b7b0-4539-45db-9dda-40d4e6407a13' class='xr-array-in' type='checkbox' checked><label for='section-7771b7b0-4539-45db-9dda-40d4e6407a13' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>293.1 293.1 293.3 293.3 284.6 284.6 ... 281.0 281.4 281.4 280.6 281.0</span></div><div class='xr-array-data'><pre>array([[[293.1    , 293.1    , 293.29   , 293.29   ],
         [284.6    , 284.6    , 284.9    , 284.19998],
         [282.79   , 282.79   , 283.19998, 282.6    ],
         [282.79   , 282.79   , 283.19998, 282.6    ]],
@@ -1856,10 +1873,10 @@ <h2>Orthogonal Indexing<a class="headerlink" href="#orthogonal-indexing" title="
        [[289.49   , 289.49   , 290.38998, 291.59   ],
         [282.09   , 282.09   , 281.99   , 283.09   ],
         [281.38998, 281.38998, 280.59   , 280.99   ],
-        [281.38998, 281.38998, 280.59   , 280.99   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-25775734-fe49-49a1-8413-d008c2c51070' class='xr-section-summary-in' type='checkbox'  checked><label for='section-25775734-fe49-49a1-8413-d008c2c51070' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(degrees_north)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>30.0 40.0 42.5 42.5</div><input id='attrs-51c2a4da-7d2c-4182-aae5-67d14691d638' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51c2a4da-7d2c-4182-aae5-67d14691d638' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d9ed1db-0750-40be-b047-c864bf6dae41' class='xr-var-data-in' type='checkbox'><label for='data-0d9ed1db-0750-40be-b047-c864bf6dae41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([30. , 40. , 42.5, 42.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(degrees_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 202.5 205.0</div><input id='attrs-98cbaf31-7928-4f2a-8148-c4982ed03f92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98cbaf31-7928-4f2a-8148-c4982ed03f92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc3cb6b7-7906-4878-b416-452f8ec675f9' class='xr-var-data-in' type='checkbox'><label for='data-fc3cb6b7-7906-4878-b416-452f8ec675f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-77e2ceec-842b-4bec-9fcc-e6d669a8a6f6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77e2ceec-842b-4bec-9fcc-e6d669a8a6f6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f869463-39b7-434f-9aae-162404d7199d' class='xr-var-data-in' type='checkbox'><label for='data-0f869463-39b7-434f-9aae-162404d7199d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+        [281.38998, 281.38998, 280.59   , 280.99   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b2f072e9-22c7-4c68-a00e-654db3d42b81' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b2f072e9-22c7-4c68-a00e-654db3d42b81' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(degrees_north)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>30.0 40.0 42.5 42.5</div><input id='attrs-3124dcd6-245f-4cc3-b815-2709fd3ad6ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3124dcd6-245f-4cc3-b815-2709fd3ad6ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2101058b-c814-4566-918b-81f852b9bd5a' class='xr-var-data-in' type='checkbox'><label for='data-2101058b-c814-4566-918b-81f852b9bd5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([30. , 40. , 42.5, 42.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(degrees_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 202.5 205.0</div><input id='attrs-9c7ce47e-ccc4-4c05-b3aa-876052aca134' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c7ce47e-ccc4-4c05-b3aa-876052aca134' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cf97fd7-725b-46cf-a144-43af870c3e8e' class='xr-var-data-in' type='checkbox'><label for='data-5cf97fd7-725b-46cf-a144-43af870c3e8e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-013fd632-e878-4975-909d-4e1caa72d077' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-013fd632-e878-4975-909d-4e1caa72d077' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b86843b6-69d3-472e-a2cb-cd78098c0dbb' class='xr-var-data-in' type='checkbox'><label for='data-b86843b6-69d3-472e-a2cb-cd78098c0dbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e96bdb8c-4e2d-4b12-8aa6-16c718b2de8c' class='xr-section-summary-in' type='checkbox'  ><label for='section-e96bdb8c-4e2d-4b12-8aa6-16c718b2de8c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-259a5700-6c12-4959-b6f2-c2093f4ec691' class='xr-index-data-in' type='checkbox'/><label for='index-259a5700-6c12-4959-b6f2-c2093f4ec691' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce58faaf-dbb7-4e90-b66e-57debd7be05f' class='xr-section-summary-in' type='checkbox'  ><label for='section-ce58faaf-dbb7-4e90-b66e-57debd7be05f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3685a4d9-7189-4a76-9e1b-b3a9156a34cf' class='xr-index-data-in' type='checkbox'/><label for='index-3685a4d9-7189-4a76-9e1b-b3a9156a34cf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1870,13 +1887,13 @@ <h2>Orthogonal Indexing<a class="headerlink" href="#orthogonal-indexing" title="
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2531ea39-81cb-4a11-ae2d-5fb8232417ab' class='xr-section-summary-in' type='checkbox'  ><label for='section-2531ea39-81cb-4a11-ae2d-5fb8232417ab' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9aa74a75-38f8-4f1c-8203-24f3a673745c' class='xr-section-summary-in' type='checkbox'  ><label for='section-9aa74a75-38f8-4f1c-8203-24f3a673745c' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>In the above example, you can see how the output shape is <code class="docutils literal notranslate"><span class="pre">time</span></code> x <code class="docutils literal notranslate"><span class="pre">lats</span></code> x <code class="docutils literal notranslate"><span class="pre">lons</span></code>.</p>
 <p>But what if we would like to find the information from the nearest grid cell to a collection of specified points (for example, weather stations or tower data)?</p>
 </section>
 <section id="vectorized-or-pointwise-indexing">
-<h2>Vectorized or Pointwise Indexing<a class="headerlink" href="#vectorized-or-pointwise-indexing" title="Permalink to this headline">#</a></h2>
+<h2>Vectorized or Pointwise Indexing<a class="headerlink" href="#vectorized-or-pointwise-indexing" title="Permalink to this heading">#</a></h2>
 <p>Like NumPy and pandas, Xarray supports indexing many array elements at once in a
 <em>vectorized</em> manner.</p>
 <p><strong>Vectorized indexing</strong> or <strong>Pointwise Indexing</strong> using <code class="docutils literal notranslate"><span class="pre">DataArrays()</span></code> can be used to extract information from the nearest grid cells of interest, for example, the nearest climate model grid cells to a collection of specified weather station latitudes and longitudes.</p>
@@ -2260,7 +2277,7 @@ <h2>Vectorized or Pointwise Indexing<a class="headerlink" href="#vectorized-or-p
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (points: 4)&gt;
 array([31, 41, 42, 42])
-Dimensions without coordinates: points</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>points</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d538d9ee-ff51-4224-834a-0895f5da8c96' class='xr-array-in' type='checkbox' checked><label for='section-d538d9ee-ff51-4224-834a-0895f5da8c96' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>31 41 42 42</span></div><div class='xr-array-data'><pre>array([31, 41, 42, 42])</pre></div></div></li><li class='xr-section-item'><input id='section-7e515b63-b019-4792-a3b7-ba4e4c204cba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7e515b63-b019-4792-a3b7-ba4e4c204cba' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-dc09d4ec-fd26-4586-b938-97bb3dbc4e32' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-dc09d4ec-fd26-4586-b938-97bb3dbc4e32' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6d8c740c-b5ac-4747-a72c-35601a5eb010' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6d8c740c-b5ac-4747-a72c-35601a5eb010' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: points</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>points</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-39766e00-2623-497a-aa2f-e911d83e6af8' class='xr-array-in' type='checkbox' checked><label for='section-39766e00-2623-497a-aa2f-e911d83e6af8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>31 41 42 42</span></div><div class='xr-array-data'><pre>array([31, 41, 42, 42])</pre></div></div></li><li class='xr-section-item'><input id='section-f9b9ea17-b0a9-4ae3-aeb5-ea4541a09482' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f9b9ea17-b0a9-4ae3-aeb5-ea4541a09482' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-2d30a5fb-f7b2-4ea4-a47d-b50702a0e5a5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2d30a5fb-f7b2-4ea4-a47d-b50702a0e5a5' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-017cd451-4eec-443f-879b-85d2c9c0c64f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-017cd451-4eec-443f-879b-85d2c9c0c64f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2634,7 +2651,7 @@ <h2>Vectorized or Pointwise Indexing<a class="headerlink" href="#vectorized-or-p
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (points: 4)&gt;
 array([200, 201, 202, 205])
-Dimensions without coordinates: points</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>points</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-146e3bee-b5b0-4e04-b4f9-08b374d99551' class='xr-array-in' type='checkbox' checked><label for='section-146e3bee-b5b0-4e04-b4f9-08b374d99551' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>200 201 202 205</span></div><div class='xr-array-data'><pre>array([200, 201, 202, 205])</pre></div></div></li><li class='xr-section-item'><input id='section-72e72c3d-4df2-42d8-971b-c4a776e74053' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-72e72c3d-4df2-42d8-971b-c4a776e74053' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b7495a91-839e-4531-8ecc-aa6d78f57016' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b7495a91-839e-4531-8ecc-aa6d78f57016' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-bcaa58a5-65d6-4271-a532-a849993e043f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bcaa58a5-65d6-4271-a532-a849993e043f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: points</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>points</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c2958d89-5bb4-46b1-ae4d-09f0bfddb484' class='xr-array-in' type='checkbox' checked><label for='section-c2958d89-5bb4-46b1-ae4d-09f0bfddb484' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>200 201 202 205</span></div><div class='xr-array-data'><pre>array([200, 201, 202, 205])</pre></div></div></li><li class='xr-section-item'><input id='section-2b441e49-aa1b-4e07-ae3f-4a5b9f7b9fe2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2b441e49-aa1b-4e07-ae3f-4a5b9f7b9fe2' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-95940152-4cfa-4123-98ac-a3c1e572da08' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-95940152-4cfa-4123-98ac-a3c1e572da08' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-2ae97406-2450-43da-93d6-ef5cd23e58fc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2ae97406-2450-43da-93d6-ef5cd23e58fc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Now, retrieve data at the grid cells nearest to the target latitudes and longitudes (weather stations):</p>
 <div class="cell docutils container">
@@ -3018,14 +3035,14 @@ <h2>Vectorized or Pointwise Indexing<a class="headerlink" href="#vectorized-or-p
     lon      (points) float32 200.0 200.0 202.5 205.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Dimensions without coordinates: points
-Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span>points</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-adfe6a55-62bf-491a-a902-5bf0be572366' class='xr-array-in' type='checkbox' checked><label for='section-adfe6a55-62bf-491a-a902-5bf0be572366' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>293.1 284.6 283.2 282.6 293.2 283.3 ... 280.6 289.5 282.1 280.6 281.0</span></div><div class='xr-array-data'><pre>array([[293.1    , 284.6    , 283.19998, 282.6    ],
+Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span>points</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-690ca8ce-d032-4ffa-93dc-f140ac49645d' class='xr-array-in' type='checkbox' checked><label for='section-690ca8ce-d032-4ffa-93dc-f140ac49645d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>293.1 284.6 283.2 282.6 293.2 283.3 ... 280.6 289.5 282.1 280.6 281.0</span></div><div class='xr-array-data'><pre>array([[293.1    , 284.6    , 283.19998, 282.6    ],
        [293.19998, 283.29   , 282.79   , 283.5    ],
        ...,
        [288.29   , 282.09   , 280.38998, 280.59   ],
-       [289.49   , 282.09   , 280.59   , 280.99   ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-f50d8a70-9c5a-447d-babf-8fb8d0f7ca79' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f50d8a70-9c5a-447d-babf-8fb8d0f7ca79' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>30.0 40.0 42.5 42.5</div><input id='attrs-1d6ab981-f539-47a1-a860-3ba52f462dec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d6ab981-f539-47a1-a860-3ba52f462dec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1c5aa33-a6db-461e-8ca4-1cedef9c3836' class='xr-var-data-in' type='checkbox'><label for='data-d1c5aa33-a6db-461e-8ca4-1cedef9c3836' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([30. , 40. , 42.5, 42.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 202.5 205.0</div><input id='attrs-f81b31d0-907d-4d02-bbd4-2e1be2950ec6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f81b31d0-907d-4d02-bbd4-2e1be2950ec6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bf8af480-5d15-48c8-817f-32de3180c15a' class='xr-var-data-in' type='checkbox'><label for='data-bf8af480-5d15-48c8-817f-32de3180c15a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-a98f210c-5a48-411a-98e5-9ee1ea6f05b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a98f210c-5a48-411a-98e5-9ee1ea6f05b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbda5cfc-3195-4b47-9f9f-d7f1d5bcfd2a' class='xr-var-data-in' type='checkbox'><label for='data-fbda5cfc-3195-4b47-9f9f-d7f1d5bcfd2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       [289.49   , 282.09   , 280.59   , 280.99   ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-f0fd53ef-dd06-407b-ad02-9a201812467c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f0fd53ef-dd06-407b-ad02-9a201812467c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>30.0 40.0 42.5 42.5</div><input id='attrs-b9b0c1a9-10ba-4550-b5c8-3cbd279cba4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9b0c1a9-10ba-4550-b5c8-3cbd279cba4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30a94df9-f3b2-4aa1-b9f1-1a8a74cf3e24' class='xr-var-data-in' type='checkbox'><label for='data-30a94df9-f3b2-4aa1-b9f1-1a8a74cf3e24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([30. , 40. , 42.5, 42.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 202.5 205.0</div><input id='attrs-4366e882-621d-47d7-a046-955e91ff6217' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4366e882-621d-47d7-a046-955e91ff6217' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e80a5ce9-d475-4651-901d-6fac8a488b9d' class='xr-var-data-in' type='checkbox'><label for='data-e80a5ce9-d475-4651-901d-6fac8a488b9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-046307b4-fd2a-423c-b5d5-3cd6162132bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-046307b4-fd2a-423c-b5d5-3cd6162132bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0656e04d-342f-45ce-93cc-77195b786699' class='xr-var-data-in' type='checkbox'><label for='data-0656e04d-342f-45ce-93cc-77195b786699' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c239f513-7960-47e0-aacd-fee42f8b4d19' class='xr-section-summary-in' type='checkbox'  ><label for='section-c239f513-7960-47e0-aacd-fee42f8b4d19' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0e88105a-6168-4b18-be9a-8fe374eb36e5' class='xr-index-data-in' type='checkbox'/><label for='index-0e88105a-6168-4b18-be9a-8fe374eb36e5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-30218702-e0c7-46eb-bccd-0a0df1caafe2' class='xr-section-summary-in' type='checkbox'  ><label for='section-30218702-e0c7-46eb-bccd-0a0df1caafe2' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-858089e4-3373-4bec-b9b6-969c3829e320' class='xr-index-data-in' type='checkbox'/><label for='index-858089e4-3373-4bec-b9b6-969c3829e320' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3036,7 +3053,7 @@ <h2>Vectorized or Pointwise Indexing<a class="headerlink" href="#vectorized-or-p
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a9aa7a45-148e-4b71-9938-e0746d752c02' class='xr-section-summary-in' type='checkbox'  ><label for='section-a9aa7a45-148e-4b71-9938-e0746d752c02' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8b5256f1-b60e-4caf-8646-16ccf285ed34' class='xr-section-summary-in' type='checkbox'  ><label for='section-8b5256f1-b60e-4caf-8646-16ccf285ed34' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>👆 Please notice how the shape of our <code class="docutils literal notranslate"><span class="pre">DataArray</span></code> is <code class="docutils literal notranslate"><span class="pre">time</span></code> x <code class="docutils literal notranslate"><span class="pre">points</span></code>, extracting time series for each weather stations.</p>
 <div class="cell docutils container">
@@ -3449,7 +3466,7 @@ <h2>Vectorized or Pointwise Indexing<a class="headerlink" href="#vectorized-or-p
     lon      (points) float32 200.0 200.0 202.5 205.0
   * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
 Dimensions without coordinates: points
-Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 3</li><li><span>points</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-05a30e69-8552-40d2-a9ae-92b62c31413c' class='xr-array-in' type='checkbox' checked><label for='section-05a30e69-8552-40d2-a9ae-92b62c31413c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.6 296.6 296.2 296.4 293.1 293.1 ... 291.6 282.1 282.1 282.0 283.1</span></div><div class='xr-array-data'><pre>array([[[296.6    , 296.6    , 296.19998, 296.4    ],
+Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 3</li><li><span>points</span>: 4</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d9be225d-2005-4901-8469-a92123d933d5' class='xr-array-in' type='checkbox' checked><label for='section-d9be225d-2005-4901-8469-a92123d933d5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>296.6 296.6 296.2 296.4 293.1 293.1 ... 291.6 282.1 282.1 282.0 283.1</span></div><div class='xr-array-data'><pre>array([[[296.6    , 296.6    , 296.19998, 296.4    ],
         [293.1    , 293.1    , 293.29   , 293.29   ],
         [284.6    , 284.6    , 284.9    , 284.19998]],
 
@@ -3465,10 +3482,10 @@ <h2>Vectorized or Pointwise Indexing<a class="headerlink" href="#vectorized-or-p
 
        [[293.79   , 293.79   , 293.69   , 295.09   ],
         [289.49   , 289.49   , 290.38998, 291.59   ],
-        [282.09   , 282.09   , 281.99   , 283.09   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e03578c8-4810-41c7-a7ae-868158d350ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e03578c8-4810-41c7-a7ae-868158d350ea' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 30.0 40.0</div><input id='attrs-720f6751-48a0-45f7-b138-d807e959791b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-720f6751-48a0-45f7-b138-d807e959791b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-281e01b2-0add-48dd-9cb8-f23237069587' class='xr-var-data-in' type='checkbox'><label for='data-281e01b2-0add-48dd-9cb8-f23237069587' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([20., 30., 40.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 202.5 205.0</div><input id='attrs-4b514172-8967-4515-a7c9-67d1e1f3a20f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b514172-8967-4515-a7c9-67d1e1f3a20f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-452d6172-e838-409c-b39e-d61851f2c21b' class='xr-var-data-in' type='checkbox'><label for='data-452d6172-e838-409c-b39e-d61851f2c21b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-bd3e917b-1771-436e-8e8c-d83cd5414916' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd3e917b-1771-436e-8e8c-d83cd5414916' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3fd5de95-9819-4406-a78a-bd3da046dfb5' class='xr-var-data-in' type='checkbox'><label for='data-3fd5de95-9819-4406-a78a-bd3da046dfb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+        [282.09   , 282.09   , 281.99   , 283.09   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-331bcd22-3978-493f-b2e7-70fed1d755f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-331bcd22-3978-493f-b2e7-70fed1d755f0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>20.0 30.0 40.0</div><input id='attrs-c99bc0f2-255b-46cd-bba6-f22dfc843438' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c99bc0f2-255b-46cd-bba6-f22dfc843438' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d2c5a1d-c542-4107-a704-3d6470f67ada' class='xr-var-data-in' type='checkbox'><label for='data-2d2c5a1d-c542-4107-a704-3d6470f67ada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([20., 30., 40.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(points)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 200.0 202.5 205.0</div><input id='attrs-cedfbdb4-4802-4fe1-b2de-70e2930235d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cedfbdb4-4802-4fe1-b2de-70e2930235d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fddf9cd3-1156-4aef-906b-a3df52fd9e01' class='xr-var-data-in' type='checkbox'><label for='data-fddf9cd3-1156-4aef-906b-a3df52fd9e01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 200. , 202.5, 205. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-a7e451c7-06e4-48fc-97b0-00caf19b75b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7e451c7-06e4-48fc-97b0-00caf19b75b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05e28820-9ea7-456c-bbf4-36331e9986dd' class='xr-var-data-in' type='checkbox'><label for='data-05e28820-9ea7-456c-bbf4-36331e9986dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e68c2dd-b7ad-4418-b3ea-586ee731a2d6' class='xr-section-summary-in' type='checkbox'  ><label for='section-7e68c2dd-b7ad-4418-b3ea-586ee731a2d6' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ab0a66bf-e19f-4a51-9ab0-92e2807c5cca' class='xr-index-data-in' type='checkbox'/><label for='index-ab0a66bf-e19f-4a51-9ab0-92e2807c5cca' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([20.0, 30.0, 40.0], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-26769a77-10ad-4580-b33b-be1092205c16' class='xr-index-data-in' type='checkbox'/><label for='index-26769a77-10ad-4580-b33b-be1092205c16' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8d888dc-7956-41b0-90e2-5d7d9206d2d4' class='xr-section-summary-in' type='checkbox'  ><label for='section-e8d888dc-7956-41b0-90e2-5d7d9206d2d4' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2e064290-17e2-422e-a5c0-b1f5b3e97135' class='xr-index-data-in' type='checkbox'/><label for='index-2e064290-17e2-422e-a5c0-b1f5b3e97135' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([20.0, 30.0, 40.0], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a0b93dcf-0b2b-4b32-a42c-600513a76a13' class='xr-index-data-in' type='checkbox'/><label for='index-a0b93dcf-0b2b-4b32-a42c-600513a76a13' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3479,7 +3496,7 @@ <h2>Vectorized or Pointwise Indexing<a class="headerlink" href="#vectorized-or-p
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba9fb5d6-09b2-46eb-9ede-99911ccbed42' class='xr-section-summary-in' type='checkbox'  ><label for='section-ba9fb5d6-09b2-46eb-9ede-99911ccbed42' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-794a1764-e8c8-4501-92a7-18bda0c66ec8' class='xr-section-summary-in' type='checkbox'  ><label for='section-794a1764-e8c8-4501-92a7-18bda0c66ec8' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
@@ -3487,7 +3504,7 @@ <h2>Vectorized or Pointwise Indexing<a class="headerlink" href="#vectorized-or-p
 </div>
 </section>
 <section id="additional-resources">
-<h2>Additional Resources<a class="headerlink" href="#additional-resources" title="Permalink to this headline">#</a></h2>
+<h2>Additional Resources<a class="headerlink" href="#additional-resources" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p><a class="reference external" href="https://docs.xarray.dev/en/stable/indexing.html">Xarray Docs - Indexing and Selecting Data</a></p></li>
 </ul>
@@ -3519,11 +3536,10 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
 
               
               
-                <footer class="bd-footer-article">
+              
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+                <footer class="prev-next-footer">
                   
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@@ -3543,10 +3559,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
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@@ -3555,6 +3568,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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@@ -3587,6 +3601,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
   
   <div class="footer-item">
     
+
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@@ -3613,8 +3628,8 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
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-  <script src="../../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
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diff --git a/intermediate/indexing/boolean-masking-indexing.html b/intermediate/indexing/boolean-masking-indexing.html
index 0cb0b591..bc759ee2 100644
--- a/intermediate/indexing/boolean-masking-indexing.html
+++ b/intermediate/indexing/boolean-masking-indexing.html
@@ -3,7 +3,7 @@
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-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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@@ -19,15 +19,15 @@
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+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-regular-400.woff2" />
 
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@@ -40,12 +40,14 @@
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+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
+<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae" />
+  <script src="../../_static/vendor/fontawesome/6.5.1/js/all.min.js?digest=8d27b9dea8ad943066ae"></script>
 
     <script data-url_root="../../" id="documentation_options" src="../../_static/documentation_options.js"></script>
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+    <script src="../../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../../_static/doctools.js"></script>
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@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
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+      
+      
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@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../../intro.html">
@@ -144,13 +158,14 @@
   
   
   
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-    <img src="../../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -462,20 +477,22 @@
 </button>
 
 
+
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-  <button class="theme-switch-button btn btn-sm btn-outline-primary navbar-btn rounded-circle" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
-    <span class="theme-switch" data-mode="light"><i class="fa-solid fa-sun"></i></span>
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+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
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-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -521,12 +538,12 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="boolean-indexing-masking">
-<h1>Boolean Indexing &amp; Masking<a class="headerlink" href="#boolean-indexing-masking" title="Permalink to this headline">#</a></h1>
+<h1>Boolean Indexing &amp; Masking<a class="headerlink" href="#boolean-indexing-masking" title="Permalink to this heading">#</a></h1>
 <section id="learning-objectives">
-<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this headline">#</a></h2>
+<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>The concept of boolean masks</p></li>
 <li><p>Dropping/Masking data using <code class="docutils literal notranslate"><span class="pre">where</span></code></p></li>
@@ -534,7 +551,7 @@ <h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="
 </ul>
 </section>
 <section id="overview">
-<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this headline">#</a></h2>
+<h2>Overview<a class="headerlink" href="#overview" title="Permalink to this heading">#</a></h2>
 <p><em>Boolean masking</em>, known as <em>boolean indexing</em>, is a functionality in Python that enables the filtering of values based on a specific condition.</p>
 <p>A boolean mask refers to a binary array or a boolean-valued (<code class="docutils literal notranslate"><span class="pre">True</span></code>/<code class="docutils literal notranslate"><span class="pre">False</span></code>) array that is used as a <em>filter</em> to select specific elements from another array. The boolean mask acts as a criterion or condition, where each element in the mask corresponds to an element in the target array. An element in the target array is selected when the corresponding <code class="docutils literal notranslate"><span class="pre">mask</span></code> value is <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p>
 <p>Xarray provides different capabilities to allow filtering and boolean indexing. In this notebook, we will learn more about it.</p>
@@ -934,20 +951,20 @@ <h2>Overview<a class="headerlink" href="#overview" title="Permalink to this head
 Dimensions without coordinates: y, x
 Data variables:
     Tair     (y, x) float64 nan nan nan nan nan ... 27.91 27.02 26.56 26.73
-Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5e201e9a-4603-4f30-8642-e814c4f66918' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5e201e9a-4603-4f30-8642-e814c4f66918' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 205</li><li><span>x</span>: 275</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2240e22c-f246-4298-b0c0-7cdfbe054c29' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2240e22c-f246-4298-b0c0-7cdfbe054c29' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00</div><input id='attrs-356c4c64-3fb4-416f-a59c-63139dd81f3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-356c4c64-3fb4-416f-a59c-63139dd81f3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adf07bd0-11ae-4abd-a419-f70763cc85df' class='xr-var-data-in' type='checkbox'><label for='data-adf07bd0-11ae-4abd-a419-f70763cc85df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>type_preferred :</span></dt><dd>int</dd></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),
-      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>189.2 189.4 189.6 ... 17.15 16.91</div><input id='attrs-9eec25a0-dcc7-4de1-992c-9fbcc688857c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9eec25a0-dcc7-4de1-992c-9fbcc688857c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d52428ad-6a84-43fa-9c8a-b9d394f8a885' class='xr-var-data-in' type='checkbox'><label for='data-d52428ad-6a84-43fa-9c8a-b9d394f8a885' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[189.22293223, 189.38990916, ..., 294.0279241 , 294.27439931],
+Attributes: (11)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c99cf278-0b71-4b7c-b2b3-a7bd90a2534c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c99cf278-0b71-4b7c-b2b3-a7bd90a2534c' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>y</span>: 205</li><li><span>x</span>: 275</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ee630254-93fd-4b7d-8acf-dec532cae359' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee630254-93fd-4b7d-8acf-dec532cae359' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00</div><input id='attrs-fe2e425d-48a9-4ee5-b195-480151d019af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe2e425d-48a9-4ee5-b195-480151d019af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9cde228-aaab-42bc-a03d-15ea37f7133e' class='xr-var-data-in' type='checkbox'><label for='data-a9cde228-aaab-42bc-a03d-15ea37f7133e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>type_preferred :</span></dt><dd>int</dd></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),
+      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>189.2 189.4 189.6 ... 17.15 16.91</div><input id='attrs-b2950214-2f70-471f-87f3-3d0ce7904381' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2950214-2f70-471f-87f3-3d0ce7904381' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d81d297d-76e8-4e6b-931a-5648041eaa4f' class='xr-var-data-in' type='checkbox'><label for='data-d81d297d-76e8-4e6b-931a-5648041eaa4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[189.22293223, 189.38990916, ..., 294.0279241 , 294.27439931],
        [188.96836986, 189.13470591, ..., 294.30444387, 294.55065969],
        ...,
        [123.78686428, 123.62254238, ...,  16.87043749,  16.62518298],
-       [123.52798366, 123.36295986, ...,  17.1540526 ,  16.90845095]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.53 16.78 17.02 ... 27.76 27.51</div><input id='attrs-583c443e-fa7c-4ab7-84c4-662934e7e6b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-583c443e-fa7c-4ab7-84c4-662934e7e6b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0119fad-d5e7-4922-ae46-c2ac2e81f32f' class='xr-var-data-in' type='checkbox'><label for='data-d0119fad-d5e7-4922-ae46-c2ac2e81f32f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[16.53498637, 16.7784556 , ..., 27.11811045, 26.87289026],
+       [123.52798366, 123.36295986, ...,  17.1540526 ,  16.90845095]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.53 16.78 17.02 ... 27.76 27.51</div><input id='attrs-1f365e3d-ad15-4d20-926c-6a884367a4af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f365e3d-ad15-4d20-926c-6a884367a4af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c6a8cd8-4d6d-4c84-822f-89eba55321e8' class='xr-var-data-in' type='checkbox'><label for='data-9c6a8cd8-4d6d-4c84-822f-89eba55321e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[16.53498637, 16.7784556 , ..., 27.11811045, 26.87289026],
        [16.69397341, 16.93865381, ..., 27.33821848, 27.0913656 ],
        ...,
        [17.15589701, 17.40414034, ..., 27.97989251, 27.72821596],
-       [16.99919497, 17.24622904, ..., 27.76185586, 27.51182726]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7a1b3a37-dda1-417a-8836-9b59776631d4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a1b3a37-dda1-417a-8836-9b59776631d4' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Tair</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 27.02 26.56 26.73</div><input id='attrs-de3b003e-e56e-46cd-8412-16042fec0ff1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de3b003e-e56e-46cd-8412-16042fec0ff1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e92679d-b409-4ca0-a4cc-cbe75736ec6a' class='xr-var-data-in' type='checkbox'><label for='data-7e92679d-b409-4ca0-a4cc-cbe75736ec6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>C</dd><dt><span>long_name :</span></dt><dd>Surface air temperature</dd><dt><span>type_preferred :</span></dt><dd>double</dd><dt><span>time_rep :</span></dt><dd>instantaneous</dd></dl></div><div class='xr-var-data'><pre>array([[        nan,         nan, ...,         nan,         nan],
+       [16.99919497, 17.24622904, ..., 27.76185586, 27.51182726]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4d927ec0-90ff-4bf5-90c9-16b76b4bc770' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4d927ec0-90ff-4bf5-90c9-16b76b4bc770' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Tair</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan ... 27.02 26.56 26.73</div><input id='attrs-c92acf8b-db04-4637-9915-f9bc824fe25e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c92acf8b-db04-4637-9915-f9bc824fe25e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f909ece2-1a52-4ed5-979c-1db846267164' class='xr-var-data-in' type='checkbox'><label for='data-f909ece2-1a52-4ed5-979c-1db846267164' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>C</dd><dt><span>long_name :</span></dt><dd>Surface air temperature</dd><dt><span>type_preferred :</span></dt><dd>double</dd><dt><span>time_rep :</span></dt><dd>instantaneous</dd></dl></div><div class='xr-var-data'><pre>array([[        nan,         nan, ...,         nan,         nan],
        [        nan,         nan, ...,         nan,         nan],
        ...,
        [        nan,         nan, ..., 26.80261869, 27.08603517],
-       [        nan,         nan, ..., 26.56473862, 26.73064933]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b46c5390-8b2e-4949-a08d-81ee09bf0759' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b46c5390-8b2e-4949-a08d-81ee09bf0759' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c5f26ecc-e06a-402f-97c5-f806d0d643e0' class='xr-section-summary-in' type='checkbox'  ><label for='section-c5f26ecc-e06a-402f-97c5-f806d0d643e0' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>/workspace/jhamman/processed/R1002RBRxaaa01a/lnd/temp/R1002RBRxaaa01a.vic.ha.1979-09-01.nc</dd><dt><span>institution :</span></dt><dd>U.W.</dd><dt><span>source :</span></dt><dd>RACM R1002RBRxaaa01a</dd><dt><span>output_frequency :</span></dt><dd>daily</dd><dt><span>output_mode :</span></dt><dd>averaged</dd><dt><span>convention :</span></dt><dd>CF-1.4</dd><dt><span>references :</span></dt><dd>Based on the initial model of Liang et al., 1994, JGR, 99, 14,415- 14,429.</dd><dt><span>comment :</span></dt><dd>Output from the Variable Infiltration Capacity (VIC) model.</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.7.9 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd><dt><span>history :</span></dt><dd>Fri Aug  7 17:57:38 2020: ncatted -a bounds,,d,, rasm.nc
+       [        nan,         nan, ..., 26.56473862, 26.73064933]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a9ce7f5-8cc1-4c29-8ed6-dee8fb90489f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0a9ce7f5-8cc1-4c29-8ed6-dee8fb90489f' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-ff4ef20b-58ed-47d5-9136-1d44e1dac19a' class='xr-section-summary-in' type='checkbox'  ><label for='section-ff4ef20b-58ed-47d5-9136-1d44e1dac19a' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>/workspace/jhamman/processed/R1002RBRxaaa01a/lnd/temp/R1002RBRxaaa01a.vic.ha.1979-09-01.nc</dd><dt><span>institution :</span></dt><dd>U.W.</dd><dt><span>source :</span></dt><dd>RACM R1002RBRxaaa01a</dd><dt><span>output_frequency :</span></dt><dd>daily</dd><dt><span>output_mode :</span></dt><dd>averaged</dd><dt><span>convention :</span></dt><dd>CF-1.4</dd><dt><span>references :</span></dt><dd>Based on the initial model of Liang et al., 1994, JGR, 99, 14,415- 14,429.</dd><dt><span>comment :</span></dt><dd>Output from the Variable Infiltration Capacity (VIC) model.</dd><dt><span>nco_openmp_thread_number :</span></dt><dd>1</dd><dt><span>NCO :</span></dt><dd>netCDF Operators version 4.7.9 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)</dd><dt><span>history :</span></dt><dd>Fri Aug  7 17:57:38 2020: ncatted -a bounds,,d,, rasm.nc
 Tue Dec 27 14:15:22 2016: ncatted -a dimensions,,d,, rasm.nc rasm.nc
 Tue Dec 27 13:38:40 2016: ncks -3 rasm.nc rasm.nc
 history deleted for brevity</dd></dl></div></li></ul></div></div></div></div>
@@ -1349,24 +1366,24 @@ <h2>Overview<a class="headerlink" href="#overview" title="Permalink to this head
     xc       (y, x) float64 189.2 189.4 189.6 189.7 ... 17.65 17.4 17.15 16.91
     yc       (y, x) float64 16.53 16.78 17.02 17.27 ... 28.26 28.01 27.76 27.51
 Dimensions without coordinates: y, x
-Attributes: (4)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Tair'</div><ul class='xr-dim-list'><li><span>y</span>: 205</li><li><span>x</span>: 275</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-786fae47-0236-4b30-b8fe-ed9b686da133' class='xr-array-in' type='checkbox' checked><label for='section-786fae47-0236-4b30-b8fe-ed9b686da133' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan ... 27.36 27.92 27.91 27.02 26.56 26.73</span></div><div class='xr-array-data'><pre>array([[        nan,         nan, ...,         nan,         nan],
+Attributes: (4)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Tair'</div><ul class='xr-dim-list'><li><span>y</span>: 205</li><li><span>x</span>: 275</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5e6d4ae0-4e66-4936-a263-9bf48fe7d0c6' class='xr-array-in' type='checkbox' checked><label for='section-5e6d4ae0-4e66-4936-a263-9bf48fe7d0c6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan ... 27.36 27.92 27.91 27.02 26.56 26.73</span></div><div class='xr-array-data'><pre>array([[        nan,         nan, ...,         nan,         nan],
        [        nan,         nan, ...,         nan,         nan],
        ...,
        [        nan,         nan, ..., 26.80261869, 27.08603517],
-       [        nan,         nan, ..., 26.56473862, 26.73064933]])</pre></div></div></li><li class='xr-section-item'><input id='section-890c8a8b-ac8f-41ef-bece-25abd52294ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-890c8a8b-ac8f-41ef-bece-25abd52294ea' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00</div><input id='attrs-a27945a0-2c30-4f69-8733-a014581b7d00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a27945a0-2c30-4f69-8733-a014581b7d00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31261d74-8d5e-44b1-829f-49061747ea5f' class='xr-var-data-in' type='checkbox'><label for='data-31261d74-8d5e-44b1-829f-49061747ea5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>type_preferred :</span></dt><dd>int</dd></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),
-      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>189.2 189.4 189.6 ... 17.15 16.91</div><input id='attrs-2c74c381-a365-4363-9aed-3dae10d46ed6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c74c381-a365-4363-9aed-3dae10d46ed6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-476e3bc9-8b9e-4723-8458-c5038e4390ce' class='xr-var-data-in' type='checkbox'><label for='data-476e3bc9-8b9e-4723-8458-c5038e4390ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[189.22293223, 189.38990916, ..., 294.0279241 , 294.27439931],
+       [        nan,         nan, ..., 26.56473862, 26.73064933]])</pre></div></div></li><li class='xr-section-item'><input id='section-211eedd5-d5f2-4bad-81ab-ef5ffc37c060' class='xr-section-summary-in' type='checkbox'  checked><label for='section-211eedd5-d5f2-4bad-81ab-ef5ffc37c060' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00</div><input id='attrs-c4a3e4a9-b688-4908-8f52-859033a9493b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4a3e4a9-b688-4908-8f52-859033a9493b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a17eb7d7-4fd5-4907-abe1-42797fdfa7fe' class='xr-var-data-in' type='checkbox'><label for='data-a17eb7d7-4fd5-4907-abe1-42797fdfa7fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>type_preferred :</span></dt><dd>int</dd></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),
+      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>189.2 189.4 189.6 ... 17.15 16.91</div><input id='attrs-e3c3b2fa-81a2-4fa6-91ed-a66ad042272f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3c3b2fa-81a2-4fa6-91ed-a66ad042272f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9438d80c-fcc5-414f-9a6a-e67dd7e17d55' class='xr-var-data-in' type='checkbox'><label for='data-9438d80c-fcc5-414f-9a6a-e67dd7e17d55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[189.22293223, 189.38990916, ..., 294.0279241 , 294.27439931],
        [188.96836986, 189.13470591, ..., 294.30444387, 294.55065969],
        ...,
        [123.78686428, 123.62254238, ...,  16.87043749,  16.62518298],
-       [123.52798366, 123.36295986, ...,  17.1540526 ,  16.90845095]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.53 16.78 17.02 ... 27.76 27.51</div><input id='attrs-f294e70f-ea08-4ad4-a6f5-5243197c0090' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f294e70f-ea08-4ad4-a6f5-5243197c0090' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e525111-1f82-433e-badb-720be22f8c83' class='xr-var-data-in' type='checkbox'><label for='data-0e525111-1f82-433e-badb-720be22f8c83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[16.53498637, 16.7784556 , ..., 27.11811045, 26.87289026],
+       [123.52798366, 123.36295986, ...,  17.1540526 ,  16.90845095]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.53 16.78 17.02 ... 27.76 27.51</div><input id='attrs-4fc4cf05-4b92-48f6-9f70-3cd8c3d2ba5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fc4cf05-4b92-48f6-9f70-3cd8c3d2ba5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df5dbf1d-d308-4cfd-a94d-cd98542d0fc3' class='xr-var-data-in' type='checkbox'><label for='data-df5dbf1d-d308-4cfd-a94d-cd98542d0fc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[16.53498637, 16.7784556 , ..., 27.11811045, 26.87289026],
        [16.69397341, 16.93865381, ..., 27.33821848, 27.0913656 ],
        ...,
        [17.15589701, 17.40414034, ..., 27.97989251, 27.72821596],
-       [16.99919497, 17.24622904, ..., 27.76185586, 27.51182726]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7546ce61-3c99-40a9-8984-10f5ca87e44b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7546ce61-3c99-40a9-8984-10f5ca87e44b' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-f262e5fd-64db-4705-9fed-8d25d2fefb90' class='xr-section-summary-in' type='checkbox'  ><label for='section-f262e5fd-64db-4705-9fed-8d25d2fefb90' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>C</dd><dt><span>long_name :</span></dt><dd>Surface air temperature</dd><dt><span>type_preferred :</span></dt><dd>double</dd><dt><span>time_rep :</span></dt><dd>instantaneous</dd></dl></div></li></ul></div></div></div></div>
+       [16.99919497, 17.24622904, ..., 27.76185586, 27.51182726]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1deaa7da-0771-40b8-b51c-750e571d40df' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1deaa7da-0771-40b8-b51c-750e571d40df' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7f97df2c-bc9d-4372-b72d-5123c3fea7a4' class='xr-section-summary-in' type='checkbox'  ><label for='section-7f97df2c-bc9d-4372-b72d-5123c3fea7a4' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>C</dd><dt><span>long_name :</span></dt><dd>Surface air temperature</dd><dt><span>type_preferred :</span></dt><dd>double</dd><dt><span>time_rep :</span></dt><dd>instantaneous</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="masking-with-where">
-<h2>Masking with <code class="docutils literal notranslate"><span class="pre">where()</span></code><a class="headerlink" href="#masking-with-where" title="Permalink to this headline">#</a></h2>
+<h2>Masking with <code class="docutils literal notranslate"><span class="pre">where()</span></code><a class="headerlink" href="#masking-with-where" title="Permalink to this heading">#</a></h2>
 <p>Indexing methods on Xarray objects generally return a subset of the original data. However, it is sometimes useful to select an object with the same shape as the original data, but with some elements masked.</p>
 <p>By applying <code class="docutils literal notranslate"><span class="pre">.where()</span></code>, the original data’s shape is maintained, with values masked based on a Boolean condition. Values that satisfy the condition (<code class="docutils literal notranslate"><span class="pre">True</span></code>) are returned unchanged, while values that do not meet the condition (<code class="docutils literal notranslate"><span class="pre">False</span></code>) are replaced with a predefined value.</p>
 <p>In the example below, we replace all <code class="docutils literal notranslate"><span class="pre">nan</span></code> values with <code class="docutils literal notranslate"><span class="pre">-9999</span></code>:</p>
@@ -1756,7 +1773,7 @@ <h2>Masking with <code class="docutils literal notranslate"><span class="pre">wh
     xc       (y, x) float64 189.2 189.4 189.6 189.7 ... 17.65 17.4 17.15 16.91
     yc       (y, x) float64 16.53 16.78 17.02 17.27 ... 28.26 28.01 27.76 27.51
 Dimensions without coordinates: y, x
-Attributes: (4)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Tair'</div><ul class='xr-dim-list'><li><span>y</span>: 205</li><li><span>x</span>: 275</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3de07c26-2eeb-4c05-b17d-df1f2bfe9801' class='xr-array-in' type='checkbox' checked><label for='section-3de07c26-2eeb-4c05-b17d-df1f2bfe9801' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-9.999e+03 -9.999e+03 -9.999e+03 -9.999e+03 ... 27.02 26.56 26.73</span></div><div class='xr-array-data'><pre>array([[-9999.        , -9999.        , ..., -9999.        ,
+Attributes: (4)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Tair'</div><ul class='xr-dim-list'><li><span>y</span>: 205</li><li><span>x</span>: 275</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3067f909-2ded-4931-a585-08fb47629884' class='xr-array-in' type='checkbox' checked><label for='section-3067f909-2ded-4931-a585-08fb47629884' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-9.999e+03 -9.999e+03 -9.999e+03 -9.999e+03 ... 27.02 26.56 26.73</span></div><div class='xr-array-data'><pre>array([[-9999.        , -9999.        , ..., -9999.        ,
         -9999.        ],
        [-9999.        , -9999.        , ..., -9999.        ,
         -9999.        ],
@@ -1764,16 +1781,16 @@ <h2>Masking with <code class="docutils literal notranslate"><span class="pre">wh
        [-9999.        , -9999.        , ...,    26.80261869,
            27.08603517],
        [-9999.        , -9999.        , ...,    26.56473862,
-           26.73064933]])</pre></div></div></li><li class='xr-section-item'><input id='section-37ff90c2-0f20-4f65-b5ff-7aef082aca60' class='xr-section-summary-in' type='checkbox'  checked><label for='section-37ff90c2-0f20-4f65-b5ff-7aef082aca60' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00</div><input id='attrs-7e117b28-9b00-4e1a-a566-f71b49bb1f5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e117b28-9b00-4e1a-a566-f71b49bb1f5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c53701b2-5880-4b13-85dc-7bca39aa351c' class='xr-var-data-in' type='checkbox'><label for='data-c53701b2-5880-4b13-85dc-7bca39aa351c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>type_preferred :</span></dt><dd>int</dd></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),
-      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>189.2 189.4 189.6 ... 17.15 16.91</div><input id='attrs-00c0ec61-1695-4097-99a8-9cb9d51d4cd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00c0ec61-1695-4097-99a8-9cb9d51d4cd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e61a863f-72ac-4f4d-bc50-1dfec2dd1a1b' class='xr-var-data-in' type='checkbox'><label for='data-e61a863f-72ac-4f4d-bc50-1dfec2dd1a1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[189.22293223, 189.38990916, ..., 294.0279241 , 294.27439931],
+           26.73064933]])</pre></div></div></li><li class='xr-section-item'><input id='section-011d98e7-8c4e-429b-bdfd-fa2f879912c0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-011d98e7-8c4e-429b-bdfd-fa2f879912c0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00</div><input id='attrs-6127a190-2de2-481c-a029-89bcd5f43263' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6127a190-2de2-481c-a029-89bcd5f43263' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17a9b0ef-79d8-42a1-84d6-ace2285815fd' class='xr-var-data-in' type='checkbox'><label for='data-17a9b0ef-79d8-42a1-84d6-ace2285815fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>type_preferred :</span></dt><dd>int</dd></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),
+      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>189.2 189.4 189.6 ... 17.15 16.91</div><input id='attrs-2f1276e3-31ad-46c6-9c36-6e963ad81eca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f1276e3-31ad-46c6-9c36-6e963ad81eca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a9ff6cb-afb9-4245-b59f-4e7ef67be324' class='xr-var-data-in' type='checkbox'><label for='data-6a9ff6cb-afb9-4245-b59f-4e7ef67be324' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[189.22293223, 189.38990916, ..., 294.0279241 , 294.27439931],
        [188.96836986, 189.13470591, ..., 294.30444387, 294.55065969],
        ...,
        [123.78686428, 123.62254238, ...,  16.87043749,  16.62518298],
-       [123.52798366, 123.36295986, ...,  17.1540526 ,  16.90845095]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.53 16.78 17.02 ... 27.76 27.51</div><input id='attrs-05a1f21a-f630-40d5-ab4e-8e5e720ff38d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05a1f21a-f630-40d5-ab4e-8e5e720ff38d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4425da3d-04a6-47f9-852a-55a4b20bd5fc' class='xr-var-data-in' type='checkbox'><label for='data-4425da3d-04a6-47f9-852a-55a4b20bd5fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[16.53498637, 16.7784556 , ..., 27.11811045, 26.87289026],
+       [123.52798366, 123.36295986, ...,  17.1540526 ,  16.90845095]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.53 16.78 17.02 ... 27.76 27.51</div><input id='attrs-f0e070a7-17aa-48d4-8c95-586b98c24133' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0e070a7-17aa-48d4-8c95-586b98c24133' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d322db9-0e95-4642-a10d-98992621fe4b' class='xr-var-data-in' type='checkbox'><label for='data-4d322db9-0e95-4642-a10d-98992621fe4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[16.53498637, 16.7784556 , ..., 27.11811045, 26.87289026],
        [16.69397341, 16.93865381, ..., 27.33821848, 27.0913656 ],
        ...,
        [17.15589701, 17.40414034, ..., 27.97989251, 27.72821596],
-       [16.99919497, 17.24622904, ..., 27.76185586, 27.51182726]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44dc02d8-b20c-45e9-afe4-77be51a90ae3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-44dc02d8-b20c-45e9-afe4-77be51a90ae3' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5062b614-0c64-4d98-ab09-39a5e8b3a136' class='xr-section-summary-in' type='checkbox'  ><label for='section-5062b614-0c64-4d98-ab09-39a5e8b3a136' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>C</dd><dt><span>long_name :</span></dt><dd>Surface air temperature</dd><dt><span>type_preferred :</span></dt><dd>double</dd><dt><span>time_rep :</span></dt><dd>instantaneous</dd></dl></div></li></ul></div></div></div></div>
+       [16.99919497, 17.24622904, ..., 27.76185586, 27.51182726]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e42c728-d7c0-4be0-bdf5-07e6e7fe2d0f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7e42c728-d7c0-4be0-bdf5-07e6e7fe2d0f' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9acdf77f-2609-49a8-8d17-796268fe56a6' class='xr-section-summary-in' type='checkbox'  ><label for='section-9acdf77f-2609-49a8-8d17-796268fe56a6' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>C</dd><dt><span>long_name :</span></dt><dd>Surface air temperature</dd><dt><span>type_preferred :</span></dt><dd>double</dd><dt><span>time_rep :</span></dt><dd>instantaneous</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>As you can see, in the example above <code class="docutils literal notranslate"><span class="pre">.where()</span></code> preserved the <strong>shape</strong> of the original data by masking the values with a boolean condition.</p>
 <p>Most uses of <code class="docutils literal notranslate"><span class="pre">.where()</span></code> check whether or not specific data values are less than or greater than a constant value.</p>
@@ -1800,7 +1817,7 @@ <h2>Masking with <code class="docutils literal notranslate"><span class="pre">wh
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/1a2f8f7c4f23e58b3f3f733ff15cadb177608e0e3d225b071e3c226e0b6abf45.png" src="../../_images/1a2f8f7c4f23e58b3f3f733ff15cadb177608e0e3d225b071e3c226e0b6abf45.png" />
+<img alt="../../_images/589755694fd3ec75b791773e0df831b37ff1ca8c02d5da1fe58754b513799585.png" src="../../_images/589755694fd3ec75b791773e0df831b37ff1ca8c02d5da1fe58754b513799585.png" />
 </div>
 </div>
 <div class="admonition tip">
@@ -1840,7 +1857,7 @@ <h2>Masking with <code class="docutils literal notranslate"><span class="pre">wh
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/089ef9fbdd5517a5ea65354cddc83ef85c5acfa8583135a6c981a042be9faef2.png" src="../../_images/089ef9fbdd5517a5ea65354cddc83ef85c5acfa8583135a6c981a042be9faef2.png" />
+<img alt="../../_images/3caedffe716b9417f80cf4f2743e06d9e709d58a7fd6402afcdf933f353f4f01.png" src="../../_images/3caedffe716b9417f80cf4f2743e06d9e709d58a7fd6402afcdf933f353f4f01.png" />
 </div>
 </div>
 <p>Please note that in this dataset, the variables <code class="docutils literal notranslate"><span class="pre">xc</span></code> (longitude) and <code class="docutils literal notranslate"><span class="pre">yc</span></code> (latitude) are two-dimensional scalar fields.</p>
@@ -1858,11 +1875,11 @@ <h2>Masking with <code class="docutils literal notranslate"><span class="pre">wh
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/ea5e2260736a5d25d704a9d0d7c3c896c7e19a25b455cf35f448d9c191b63fc4.png" src="../../_images/ea5e2260736a5d25d704a9d0d7c3c896c7e19a25b455cf35f448d9c191b63fc4.png" />
+<img alt="../../_images/67ef7a4faa891fce7a3e769e63e4c4c9b8a74076aa9448a8a6e665be0878a91a.png" src="../../_images/67ef7a4faa891fce7a3e769e63e4c4c9b8a74076aa9448a8a6e665be0878a91a.png" />
 </div>
 </div>
 <section id="using-where-with-multiple-conditions">
-<h3>Using <code class="docutils literal notranslate"><span class="pre">where</span></code> with Multiple Conditions<a class="headerlink" href="#using-where-with-multiple-conditions" title="Permalink to this headline">#</a></h3>
+<h3>Using <code class="docutils literal notranslate"><span class="pre">where</span></code> with Multiple Conditions<a class="headerlink" href="#using-where-with-multiple-conditions" title="Permalink to this heading">#</a></h3>
 <p>In Xarray’s <code class="docutils literal notranslate"><span class="pre">.where()</span></code> function, boolean conditions can be combined using logical operators. The bitwise <code class="docutils literal notranslate"><span class="pre">and</span></code> operator (<code class="docutils literal notranslate"><span class="pre">&amp;</span></code>) and the bitwise <code class="docutils literal notranslate"><span class="pre">or</span></code> operator (<code class="docutils literal notranslate"><span class="pre">|</span></code>) are relevant in this case. This allows for specifying multiple masking conditions within a single <code class="docutils literal notranslate"><span class="pre">.where()</span></code> statement.</p>
 <p>We can select data for one specific region using bound boxes. For example, here we want to access data over a region over Alaska :</p>
 <div class="cell docutils container">
@@ -1895,7 +1912,7 @@ <h3>Using <code class="docutils literal notranslate"><span class="pre">where</sp
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/4f78e12f1d15557b6460687be277bfd301040cbc780f52ecd020c838d0698e3e.png" src="../../_images/4f78e12f1d15557b6460687be277bfd301040cbc780f52ecd020c838d0698e3e.png" />
+<img alt="../../_images/dd84600893222ce0b81996daa1a515cf26da52d6fc596e5156d5eb8487e03a18.png" src="../../_images/dd84600893222ce0b81996daa1a515cf26da52d6fc596e5156d5eb8487e03a18.png" />
 </div>
 </div>
 <div class="cell docutils container">
@@ -1915,12 +1932,12 @@ <h3>Using <code class="docutils literal notranslate"><span class="pre">where</sp
   warnings.warn(f&#39;Downloading: {url}&#39;, DownloadWarning)
 </pre></div>
 </div>
-<img alt="../../_images/b534616a729d4b872e0688fcb82f1dfc3160217884cc1b4bb3257eaa51ae008e.png" src="../../_images/b534616a729d4b872e0688fcb82f1dfc3160217884cc1b4bb3257eaa51ae008e.png" />
+<img alt="../../_images/dab50bb6c8da498ca10cc88d6d1f4b8b0e22a9646b0d0813d78a549ab978350a.png" src="../../_images/dab50bb6c8da498ca10cc88d6d1f4b8b0e22a9646b0d0813d78a549ab978350a.png" />
 </div>
 </div>
 </section>
 <section id="exercise">
-<h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this headline">#</a></h3>
+<h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this heading">#</a></h3>
 <p>If we load air temperature dataset from NCEP, we could use <code class="docutils literal notranslate"><span class="pre">sel</span></code> method for selecting a region:</p>
 <div class="exercise admonition" id="boolean-1">
 
@@ -1950,7 +1967,7 @@ <h3>Exercise<a class="headerlink" href="#exercise" title="Permalink to this head
 </div>
 </section>
 <section id="using-xr-where-with-a-function">
-<h3>Using <code class="docutils literal notranslate"><span class="pre">xr.where</span></code> with a Function<a class="headerlink" href="#using-xr-where-with-a-function" title="Permalink to this headline">#</a></h3>
+<h3>Using <code class="docutils literal notranslate"><span class="pre">xr.where</span></code> with a Function<a class="headerlink" href="#using-xr-where-with-a-function" title="Permalink to this heading">#</a></h3>
 <p>We can use <code class="docutils literal notranslate"><span class="pre">xr.where</span></code> with a function as a condition too. For example, here we want to convert temperature to Kelvin and find if temperature is greater than 280 K:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1970,16 +1987,16 @@ <h3>Using <code class="docutils literal notranslate"><span class="pre">xr.where<
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fae546a7a90&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7f2cadf70b90&gt;
 </pre></div>
 </div>
-<img alt="../../_images/670fde5620ddda7ad2117f8338631dd8663095f122b1869a11a29631f91c1d7a.png" src="../../_images/670fde5620ddda7ad2117f8338631dd8663095f122b1869a11a29631f91c1d7a.png" />
+<img alt="../../_images/78668ecd6d6813cde8056b55d253275cc81ed76a1a6c6e1eab214dfbc58fa0c6.png" src="../../_images/78668ecd6d6813cde8056b55d253275cc81ed76a1a6c6e1eab214dfbc58fa0c6.png" />
 </div>
 </div>
 </section>
 </section>
 <section id="selecting-values-with-isin">
-<h2>Selecting Values with <code class="docutils literal notranslate"><span class="pre">isin</span></code><a class="headerlink" href="#selecting-values-with-isin" title="Permalink to this headline">#</a></h2>
+<h2>Selecting Values with <code class="docutils literal notranslate"><span class="pre">isin</span></code><a class="headerlink" href="#selecting-values-with-isin" title="Permalink to this heading">#</a></h2>
 <p>To check whether elements of an xarray object contain a single object, you can compare with the equality operator <code class="docutils literal notranslate"><span class="pre">==</span></code> (e.g., <code class="docutils literal notranslate"><span class="pre">arr</span> <span class="pre">==</span> <span class="pre">3</span></code>).</p>
 <p>To check multiple values, we use <code class="docutils literal notranslate"><span class="pre">isin()</span></code>:</p>
 <p>Here is a simple example:</p>
@@ -2358,7 +2375,7 @@ <h2>Selecting Values with <code class="docutils literal notranslate"><span class
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (x: 5)&gt;
 array([False,  True, False,  True, False])
-Dimensions without coordinates: x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>x</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7fd2b384-a5bd-42eb-9980-94b7984781a2' class='xr-array-in' type='checkbox' checked><label for='section-7fd2b384-a5bd-42eb-9980-94b7984781a2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>False True False True False</span></div><div class='xr-array-data'><pre>array([False,  True, False,  True, False])</pre></div></div></li><li class='xr-section-item'><input id='section-bc3e319c-d73a-48b0-a9bd-364c29625bcf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bc3e319c-d73a-48b0-a9bd-364c29625bcf' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-3a9db521-81e8-4a36-9a19-c60f7afa778a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3a9db521-81e8-4a36-9a19-c60f7afa778a' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6b4437fd-9921-499c-8b02-8203cd7a2ee9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b4437fd-9921-499c-8b02-8203cd7a2ee9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>x</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f3cc610a-195a-4c6f-b643-26b80fb214d2' class='xr-array-in' type='checkbox' checked><label for='section-f3cc610a-195a-4c6f-b643-26b80fb214d2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>False True False True False</span></div><div class='xr-array-data'><pre>array([False,  True, False,  True, False])</pre></div></div></li><li class='xr-section-item'><input id='section-0eb4acb4-8084-41d7-8318-bbcd4823308d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0eb4acb4-8084-41d7-8318-bbcd4823308d' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a854121c-fc52-4605-b357-449926f49dcf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a854121c-fc52-4605-b357-449926f49dcf' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1da427ba-a407-40e1-a366-7d8aed2e8876' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1da427ba-a407-40e1-a366-7d8aed2e8876' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="admonition tip">
 <p class="admonition-title">Tip</p>
@@ -2738,29 +2755,29 @@ <h2>Selecting Values with <code class="docutils literal notranslate"><span class
   fill: currentColor;
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (y: 205, x: 275)&gt;
-array([[-1,  2, ...,  0,  3],
-       [ 0,  3, ...,  1,  4],
+array([[ 1, -1, ...,  3, -1],
+       [ 1,  1, ...,  4,  4],
        ...,
-       [-1,  3, ...,  0,  2],
-       [ 0,  4, ...,  3,  0]])
+       [ 4,  1, ...,  4,  1],
+       [ 4,  1, ...,  4, -1]])
 Coordinates:
     time     object 1980-09-16 12:00:00
     xc       (y, x) float64 189.2 189.4 189.6 189.7 ... 17.65 17.4 17.15 16.91
     yc       (y, x) float64 16.53 16.78 17.02 17.27 ... 28.26 28.01 27.76 27.51
-Dimensions without coordinates: y, x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>y</span>: 205</li><li><span>x</span>: 275</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-71db06d9-0689-4459-811e-c6bfd1888195' class='xr-array-in' type='checkbox' checked><label for='section-71db06d9-0689-4459-811e-c6bfd1888195' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1 2 2 3 4 -1 3 -1 4 4 3 1 3 1 4 0 ... 1 3 3 0 0 1 0 4 1 -1 -1 4 3 3 0</span></div><div class='xr-array-data'><pre>array([[-1,  2, ...,  0,  3],
-       [ 0,  3, ...,  1,  4],
+Dimensions without coordinates: y, x</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>y</span>: 205</li><li><span>x</span>: 275</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8d4dcab2-3379-46db-b642-98f04bf24869' class='xr-array-in' type='checkbox' checked><label for='section-8d4dcab2-3379-46db-b642-98f04bf24869' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1 -1 2 -1 4 0 1 2 -1 0 2 -1 -1 2 -1 ... 2 3 0 2 0 -1 0 1 0 4 3 3 4 -1</span></div><div class='xr-array-data'><pre>array([[ 1, -1, ...,  3, -1],
+       [ 1,  1, ...,  4,  4],
        ...,
-       [-1,  3, ...,  0,  2],
-       [ 0,  4, ...,  3,  0]])</pre></div></div></li><li class='xr-section-item'><input id='section-abb6d104-e51d-470b-9512-a2dc7d4136f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-abb6d104-e51d-470b-9512-a2dc7d4136f0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00</div><input id='attrs-d8330c81-79b5-49a6-8ad4-788a1605ffff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8330c81-79b5-49a6-8ad4-788a1605ffff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88f06c48-a1e6-41b8-a7d4-7867c4bbbc4b' class='xr-var-data-in' type='checkbox'><label for='data-88f06c48-a1e6-41b8-a7d4-7867c4bbbc4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>type_preferred :</span></dt><dd>int</dd></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),
-      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>189.2 189.4 189.6 ... 17.15 16.91</div><input id='attrs-d21422a4-7ebf-4819-9af1-aeab3c6bd5e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d21422a4-7ebf-4819-9af1-aeab3c6bd5e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c6e93d4-1267-4222-88be-3bb17552395d' class='xr-var-data-in' type='checkbox'><label for='data-5c6e93d4-1267-4222-88be-3bb17552395d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[189.22293223, 189.38990916, ..., 294.0279241 , 294.27439931],
+       [ 4,  1, ...,  4,  1],
+       [ 4,  1, ...,  4, -1]])</pre></div></div></li><li class='xr-section-item'><input id='section-bc880abd-70bf-4cf2-b215-0f4350b1f70f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bc880abd-70bf-4cf2-b215-0f4350b1f70f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1980-09-16 12:00:00</div><input id='attrs-26343e0c-cfb8-4048-915b-b2ab163b2c5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26343e0c-cfb8-4048-915b-b2ab163b2c5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1bff959-6de1-4e8d-bb0f-f24c8184d4ae' class='xr-var-data-in' type='checkbox'><label for='data-a1bff959-6de1-4e8d-bb0f-f24c8184d4ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>type_preferred :</span></dt><dd>int</dd></dl></div><div class='xr-var-data'><pre>array(cftime.DatetimeNoLeap(1980, 9, 16, 12, 0, 0, 0, has_year_zero=True),
+      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>189.2 189.4 189.6 ... 17.15 16.91</div><input id='attrs-4a049064-d1a6-48f0-b92e-7626123a870f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a049064-d1a6-48f0-b92e-7626123a870f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-daea6618-3290-413a-ba42-077093210aa8' class='xr-var-data-in' type='checkbox'><label for='data-daea6618-3290-413a-ba42-077093210aa8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([[189.22293223, 189.38990916, ..., 294.0279241 , 294.27439931],
        [188.96836986, 189.13470591, ..., 294.30444387, 294.55065969],
        ...,
        [123.78686428, 123.62254238, ...,  16.87043749,  16.62518298],
-       [123.52798366, 123.36295986, ...,  17.1540526 ,  16.90845095]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.53 16.78 17.02 ... 27.76 27.51</div><input id='attrs-8bf61744-2f77-4a04-a61d-b2928230933b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bf61744-2f77-4a04-a61d-b2928230933b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63862aa9-6737-42f4-ba61-2b5cafd5d4e2' class='xr-var-data-in' type='checkbox'><label for='data-63862aa9-6737-42f4-ba61-2b5cafd5d4e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[16.53498637, 16.7784556 , ..., 27.11811045, 26.87289026],
+       [123.52798366, 123.36295986, ...,  17.1540526 ,  16.90845095]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>yc</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.53 16.78 17.02 ... 27.76 27.51</div><input id='attrs-313ce4be-2e05-4722-81cb-3451132abbc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-313ce4be-2e05-4722-81cb-3451132abbc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb32f9c9-ddfc-4886-8b52-016dd772be14' class='xr-var-data-in' type='checkbox'><label for='data-cb32f9c9-ddfc-4886-8b52-016dd772be14' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of grid cell center</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([[16.53498637, 16.7784556 , ..., 27.11811045, 26.87289026],
        [16.69397341, 16.93865381, ..., 27.33821848, 27.0913656 ],
        ...,
        [17.15589701, 17.40414034, ..., 27.97989251, 27.72821596],
-       [16.99919497, 17.24622904, ..., 27.76185586, 27.51182726]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c822ab95-fc62-4cc6-b789-bc681a0acaef' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c822ab95-fc62-4cc6-b789-bc681a0acaef' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b00a77a1-b6eb-443f-8ad1-55019eb82876' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b00a77a1-b6eb-443f-8ad1-55019eb82876' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+       [16.99919497, 17.24622904, ..., 27.76185586, 27.51182726]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7c0aa620-db95-4e1f-88d2-a3ce8a4f16d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7c0aa620-db95-4e1f-88d2-a3ce8a4f16d7' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7839ea17-2c98-4ba4-855d-e7d50dfd14e5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7839ea17-2c98-4ba4-855d-e7d50dfd14e5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Now, we want to only see the data for points where out measurement device is working correctly:</p>
 <div class="cell docutils container">
@@ -2771,7 +2788,7 @@ <h2>Selecting Values with <code class="docutils literal notranslate"><span class
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/2003af5545fdeb3397c44fe93fd67df9015bda53fcd72e44a8623107ca333655.png" src="../../_images/2003af5545fdeb3397c44fe93fd67df9015bda53fcd72e44a8623107ca333655.png" />
+<img alt="../../_images/a63c661b902670440c220196af59860dfc43d6400fb9d57c5caed045314921e4.png" src="../../_images/a63c661b902670440c220196af59860dfc43d6400fb9d57c5caed045314921e4.png" />
 </div>
 </div>
 <div class="admonition warning">
@@ -2781,7 +2798,7 @@ <h2>Selecting Values with <code class="docutils literal notranslate"><span class
 </div>
 </section>
 <section id="additional-resources">
-<h2>Additional Resources<a class="headerlink" href="#additional-resources" title="Permalink to this headline">#</a></h2>
+<h2>Additional Resources<a class="headerlink" href="#additional-resources" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p><a class="reference external" href="https://docs.xarray.dev/en/stable/indexing.html">Xarray Docs - Indexing and Selecting Data</a></p></li>
 </ul>
@@ -2813,11 +2830,10 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
        href="advanced-indexing.html"
@@ -2837,10 +2853,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
-  
 </div>
-
                 </footer>
               
             </div>
@@ -2849,6 +2862,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
   <div class="sidebar-secondary-item">
   <div class="page-toc tocsection onthispage">
     <i class="fa-solid fa-list"></i> Contents
@@ -2886,6 +2900,7 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
       © Copyright 2023.
@@ -2912,8 +2927,8 @@ <h2>Additional Resources<a class="headerlink" href="#additional-resources" title
   </div>
   
   <!-- Scripts loaded after <body> so the DOM is not blocked -->
-  <script src="../../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
   <footer class="bd-footer">
   </footer>
diff --git a/intermediate/indexing/indexing.html b/intermediate/indexing/indexing.html
index 9d7f1817..137cfa2f 100644
--- a/intermediate/indexing/indexing.html
+++ b/intermediate/indexing/indexing.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
   <head>
     <meta charset="utf-8" />
@@ -19,15 +19,15 @@
   </script>
   
   <!-- Loaded before other Sphinx assets -->
-  <link href="../../_static/styles/theme.css?digest=e353d410970836974a52" rel="stylesheet" />
-<link href="../../_static/styles/bootstrap.css?digest=e353d410970836974a52" rel="stylesheet" />
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@@ -528,11 +545,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="parallel-computing-with-dask">
-<h1>Parallel computing with Dask<a class="headerlink" href="#parallel-computing-with-dask" title="Permalink to this headline">#</a></h1>
+<h1>Parallel computing with Dask<a class="headerlink" href="#parallel-computing-with-dask" title="Permalink to this heading">#</a></h1>
 <p>This notebook demonstrates one of Xarray’s most powerful features: the ability
 to wrap <a class="reference external" href="https://docs.dask.org/en/stable/array.html">dask arrays</a> and allow users to seamlessly execute analysis code in
 parallel.</p>
@@ -548,7 +565,7 @@ <h1>Parallel computing with Dask<a class="headerlink" href="#parallel-computing-
 </div>
 <p>Performance will depend on the computational infrastructure you’re using (for example, how many CPU cores), how the data you’re working with is structured and stored, and the algorithms and code you’re running. Be sure to review the <a class="reference external" href="https://docs.dask.org/en/stable/best-practices.html">Dask best-practices</a> if you’re new to Dask!</p>
 <section id="what-is-dask">
-<h2>What is Dask<a class="headerlink" href="#what-is-dask" title="Permalink to this headline">#</a></h2>
+<h2>What is Dask<a class="headerlink" href="#what-is-dask" title="Permalink to this heading">#</a></h2>
 <p>When we talk about Xarray + Dask, we are <em>usually</em> talking about two things:</p>
 <ol class="arabic simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">dask.array</span></code> as a drop-in replacement for numpy arrays</p></li>
@@ -556,7 +573,7 @@ <h2>What is Dask<a class="headerlink" href="#what-is-dask" title="Permalink to t
 </ol>
 </section>
 <section id="introduction-to-dask-array">
-<h2>Introduction to dask.array<a class="headerlink" href="#introduction-to-dask-array" title="Permalink to this headline">#</a></h2>
+<h2>Introduction to dask.array<a class="headerlink" href="#introduction-to-dask-array" title="Permalink to this heading">#</a></h2>
 <blockquote>
 <div><p>Dask Array implements a subset of the NumPy ndarray interface using blocked algorithms, cutting up the large array into many small arrays (<em>blocks</em> or <em>chunks</em>). This lets us compute on arrays larger than memory using all of our cores. We coordinate these blocked algorithms using Dask graphs.</p>
 </div></blockquote>
@@ -635,7 +652,7 @@ <h2>Introduction to dask.array<a class="headerlink" href="#introduction-to-dask-
 </table></div></div>
 </div>
 <section id="why-dask-array">
-<h3>Why dask.array<a class="headerlink" href="#why-dask-array" title="Permalink to this headline">#</a></h3>
+<h3>Why dask.array<a class="headerlink" href="#why-dask-array" title="Permalink to this heading">#</a></h3>
 <ol class="arabic">
 <li><p>Use parallel resources to speed up computation</p></li>
 <li><p>Work with datasets bigger than RAM (“out-of-core”)</p>
@@ -646,7 +663,7 @@ <h3>Why dask.array<a class="headerlink" href="#why-dask-array" title="Permalink
 </ol>
 </section>
 <section id="dask-is-lazy">
-<h3>dask is lazy<a class="headerlink" href="#dask-is-lazy" title="Permalink to this headline">#</a></h3>
+<h3>dask is lazy<a class="headerlink" href="#dask-is-lazy" title="Permalink to this heading">#</a></h3>
 <p>Operations are not computed until you explicitly request them.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -724,7 +741,7 @@ <h3>dask is lazy<a class="headerlink" href="#dask-is-lazy" title="Permalink to t
 </div>
 </div>
 <div class="cell_output docutils container">
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@@ -741,18 +758,18 @@ <h3>dask is lazy<a class="headerlink" href="#dask-is-lazy" title="Permalink to t
 </div>
 </section>
 <section id="more">
-<h3>More<a class="headerlink" href="#more" title="Permalink to this headline">#</a></h3>
+<h3>More<a class="headerlink" href="#more" title="Permalink to this heading">#</a></h3>
 <p>See the <a class="reference external" href="https://tutorial.dask.org/02_array.html">dask.array tutorial</a></p>
 </section>
 <section id="dask-xarray">
-<h3>Dask + Xarray<a class="headerlink" href="#dask-xarray" title="Permalink to this headline">#</a></h3>
+<h3>Dask + Xarray<a class="headerlink" href="#dask-xarray" title="Permalink to this heading">#</a></h3>
 <p>Remember that Xarray can wrap many different array types. So Xarray can wrap dask arrays too.</p>
 <p>We use Xarray to enable using our metadata to express our analysis.</p>
 <p><a id='readwrite'></a></p>
 </section>
 </section>
 <section id="creating-dask-backed-xarray-objects">
-<h2>Creating dask-backed Xarray objects<a class="headerlink" href="#creating-dask-backed-xarray-objects" title="Permalink to this headline">#</a></h2>
+<h2>Creating dask-backed Xarray objects<a class="headerlink" href="#creating-dask-backed-xarray-objects" title="Permalink to this heading">#</a></h2>
 <p>The <code class="docutils literal notranslate"><span class="pre">chunks</span></code> argument to both <code class="docutils literal notranslate"><span class="pre">open_dataset</span></code> and <code class="docutils literal notranslate"><span class="pre">open_mfdataset</span></code> allow you to
 read datasets as dask arrays.</p>
 <div class="cell docutils container">
@@ -1162,26 +1179,26 @@ <h2>Creating dask-backed Xarray objects<a class="headerlink" href="#creating-das
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f36c128f-c601-4b1f-961b-f2bac4fc69db' class='xr-array-in' type='checkbox' ><label for='section-f36c128f-c601-4b1f-961b-f2bac4fc69db' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[3869000 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-89272da8-6c05-42c0-8bc9-db85259e1888' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89272da8-6c05-42c0-8bc9-db85259e1888' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-785558ea-6a39-4015-b2b8-06ae36db096a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-785558ea-6a39-4015-b2b8-06ae36db096a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10311e1b-0140-4f07-b655-3ce1fe62cf25' class='xr-var-data-in' type='checkbox'><label for='data-10311e1b-0140-4f07-b655-3ce1fe62cf25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-cc62a0fb-6ad5-400d-86b5-02e1b7e56d95' class='xr-array-in' type='checkbox' ><label for='section-cc62a0fb-6ad5-400d-86b5-02e1b7e56d95' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[3869000 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-0ccd9d15-8c65-4780-8cdc-41cbb1689d71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0ccd9d15-8c65-4780-8cdc-41cbb1689d71' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-2ab36664-277c-4fa8-9087-4f2f163ed60d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ab36664-277c-4fa8-9087-4f2f163ed60d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f9e2d93-f513-47ba-a1df-ad09dd3288ab' class='xr-var-data-in' type='checkbox'><label for='data-8f9e2d93-f513-47ba-a1df-ad09dd3288ab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-4500f7ab-59f4-4f7c-b1d7-d9faf4694218' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4500f7ab-59f4-4f7c-b1d7-d9faf4694218' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2ca00419-1178-45b2-9102-baa5525fcbee' class='xr-var-data-in' type='checkbox'><label for='data-2ca00419-1178-45b2-9102-baa5525fcbee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-18e71dd3-cc8f-4b05-8603-0264c647b703' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18e71dd3-cc8f-4b05-8603-0264c647b703' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d68d178-c9d8-492d-b5f4-662bf4b9da38' class='xr-var-data-in' type='checkbox'><label for='data-1d68d178-c9d8-492d-b5f4-662bf4b9da38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-024eabc0-2cf0-4387-b29f-f9221d40eeb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-024eabc0-2cf0-4387-b29f-f9221d40eeb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e80948c1-f7ff-4b9f-9310-7ec0883e127f' class='xr-var-data-in' type='checkbox'><label for='data-e80948c1-f7ff-4b9f-9310-7ec0883e127f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-4f0635be-f12f-47c3-9cc7-7383b36e8d49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f0635be-f12f-47c3-9cc7-7383b36e8d49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27d8f752-c97e-4fcd-9e2d-c616d9251309' class='xr-var-data-in' type='checkbox'><label for='data-27d8f752-c97e-4fcd-9e2d-c616d9251309' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d541e40f-dc0b-4d28-ab79-43bed6cf8ebc' class='xr-section-summary-in' type='checkbox'  ><label for='section-d541e40f-dc0b-4d28-ab79-43bed6cf8ebc' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ae0eb0ae-74ff-46b6-a522-d98a6acf6da7' class='xr-index-data-in' type='checkbox'/><label for='index-ae0eb0ae-74ff-46b6-a522-d98a6acf6da7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f505a713-225d-4c98-9832-f6f5eef1ae92' class='xr-section-summary-in' type='checkbox'  ><label for='section-f505a713-225d-4c98-9832-f6f5eef1ae92' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3bf01ea9-a51e-4f36-9c9a-a64c97b3e2b6' class='xr-index-data-in' type='checkbox'/><label for='index-3bf01ea9-a51e-4f36-9c9a-a64c97b3e2b6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-95c08fd9-8281-4bcc-aa97-e468ea453dae' class='xr-index-data-in' type='checkbox'/><label for='index-95c08fd9-8281-4bcc-aa97-e468ea453dae' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b569fbea-a7e2-4742-ba63-9e9f584be148' class='xr-index-data-in' type='checkbox'/><label for='index-b569fbea-a7e2-4742-ba63-9e9f584be148' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0b2a2b5-3e4a-454c-bf96-cf4d5036c2cf' class='xr-index-data-in' type='checkbox'/><label for='index-e0b2a2b5-3e4a-454c-bf96-cf4d5036c2cf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2e80a7ed-8627-48d8-a272-6f076330f053' class='xr-index-data-in' type='checkbox'/><label for='index-2e80a7ed-8627-48d8-a272-6f076330f053' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1192,7 +1209,7 @@ <h2>Creating dask-backed Xarray objects<a class="headerlink" href="#creating-das
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4e021783-3575-4ae7-b389-76478bcaa694' class='xr-section-summary-in' type='checkbox'  ><label for='section-4e021783-3575-4ae7-b389-76478bcaa694' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1f603121-0d53-4f8e-9f72-7a1809441244' class='xr-section-summary-in' type='checkbox'  ><label for='section-1f603121-0d53-4f8e-9f72-7a1809441244' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1585,17 +1602,17 @@ <h2>Creating dask-backed Xarray objects<a class="headerlink" href="#creating-das
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2ca9f89f-c4cf-4c27-bab0-1039a28d181a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2ca9f89f-c4cf-4c27-bab0-1039a28d181a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-aa353a4f-96ce-4ee6-b0cb-2a19edec5a7d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-aa353a4f-96ce-4ee6-b0cb-2a19edec5a7d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-57ae3cf6-b06a-4b27-9826-8aa60df7e6d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57ae3cf6-b06a-4b27-9826-8aa60df7e6d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a865e83-39a3-4162-9ee5-099bb34517b1' class='xr-var-data-in' type='checkbox'><label for='data-8a865e83-39a3-4162-9ee5-099bb34517b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2f10f736-e8a1-403d-a165-99c6bec6c876' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2f10f736-e8a1-403d-a165-99c6bec6c876' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f5435ea6-0145-4099-a469-6cccf952a7b4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f5435ea6-0145-4099-a469-6cccf952a7b4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-0426e134-5193-4e06-975e-d6e95f58081d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0426e134-5193-4e06-975e-d6e95f58081d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60ca95e0-43e9-468b-b9e1-752f521bed3c' class='xr-var-data-in' type='checkbox'><label for='data-60ca95e0-43e9-468b-b9e1-752f521bed3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-c0dd729a-a81a-426a-953b-92fac2f99aa7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0dd729a-a81a-426a-953b-92fac2f99aa7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67008fd6-0402-4d85-9639-fbdae72279e1' class='xr-var-data-in' type='checkbox'><label for='data-67008fd6-0402-4d85-9639-fbdae72279e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-2fd6464f-b7d7-4583-859d-dd56e60a330b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fd6464f-b7d7-4583-859d-dd56e60a330b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c1209ef-08cf-4d22-8f89-cf3995cf59a1' class='xr-var-data-in' type='checkbox'><label for='data-3c1209ef-08cf-4d22-8f89-cf3995cf59a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-94bd05c7-c83f-4c64-a9dd-af613f296814' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94bd05c7-c83f-4c64-a9dd-af613f296814' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-360c67c5-9df8-4f48-a56c-11c08c725893' class='xr-var-data-in' type='checkbox'><label for='data-360c67c5-9df8-4f48-a56c-11c08c725893' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-d1e4d043-c8e4-4a02-a4dd-07e37c36fa93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1e4d043-c8e4-4a02-a4dd-07e37c36fa93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-384e66b0-4a8b-4a91-9894-58a1c9633e15' class='xr-var-data-in' type='checkbox'><label for='data-384e66b0-4a8b-4a91-9894-58a1c9633e15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ccd839a-ad21-4099-9598-8334f0bc13f3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0ccd839a-ad21-4099-9598-8334f0bc13f3' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;</div><input id='attrs-8e96e4d1-1f1f-4008-a1b9-970783619d42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e96e4d1-1f1f-4008-a1b9-970783619d42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b36ab2b6-0a3a-440e-92c1-5575e5bdd450' class='xr-var-data-in' type='checkbox'><label for='data-b36ab2b6-0a3a-440e-92c1-5575e5bdd450' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><table>
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6f20cc66-a184-4ecd-91c2-0555bff6ae2f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f20cc66-a184-4ecd-91c2-0555bff6ae2f' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;</div><input id='attrs-a85383b6-3a7f-4130-8d9a-14394c1f8ef2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a85383b6-3a7f-4130-8d9a-14394c1f8ef2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0625cca8-3fb0-44b6-9fab-220e21f8deb3' class='xr-var-data-in' type='checkbox'><label for='data-0625cca8-3fb0-44b6-9fab-220e21f8deb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -1677,16 +1694,16 @@ <h2>Creating dask-backed Xarray objects<a class="headerlink" href="#creating-das
 </svg>
         </td>
     </tr>
-</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce189077-d5fc-4fe0-a9bc-520f517e2323' class='xr-section-summary-in' type='checkbox'  ><label for='section-ce189077-d5fc-4fe0-a9bc-520f517e2323' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3bdc492a-66fd-47d7-b94f-4e06bc4daff2' class='xr-index-data-in' type='checkbox'/><label for='index-3bdc492a-66fd-47d7-b94f-4e06bc4daff2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-aedae6e8-c9dd-4ed8-b55e-3dd27452bb95' class='xr-section-summary-in' type='checkbox'  ><label for='section-aedae6e8-c9dd-4ed8-b55e-3dd27452bb95' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fa681372-2271-4445-a06e-02968632534b' class='xr-index-data-in' type='checkbox'/><label for='index-fa681372-2271-4445-a06e-02968632534b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2c6f0163-403a-44e2-845e-c82cdb3a6f4a' class='xr-index-data-in' type='checkbox'/><label for='index-2c6f0163-403a-44e2-845e-c82cdb3a6f4a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5fde8a0b-d201-4e51-9502-d8a8ab7798f7' class='xr-index-data-in' type='checkbox'/><label for='index-5fde8a0b-d201-4e51-9502-d8a8ab7798f7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eab97506-da10-4bc6-8e8a-178608e9b673' class='xr-index-data-in' type='checkbox'/><label for='index-eab97506-da10-4bc6-8e8a-178608e9b673' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-64b1e87e-95ca-4ce1-8b9e-a793ca92b179' class='xr-index-data-in' type='checkbox'/><label for='index-64b1e87e-95ca-4ce1-8b9e-a793ca92b179' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1697,7 +1714,7 @@ <h2>Creating dask-backed Xarray objects<a class="headerlink" href="#creating-das
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6568b4c4-6930-49d4-acdc-f1a973718085' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6568b4c4-6930-49d4-acdc-f1a973718085' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a6d588d-9fac-42e2-90bc-c9a03117edb6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0a6d588d-9fac-42e2-90bc-c9a03117edb6' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>The representation (“repr” in Python parlance) for the <code class="docutils literal notranslate"><span class="pre">air</span></code> DataArray shows the very nice HTML dask array repr. You can access the underlying chunk sizes using <code class="docutils literal notranslate"><span class="pre">.chunks</span></code>:</p>
@@ -2096,17 +2113,17 @@ <h2>Creating dask-backed Xarray objects<a class="headerlink" href="#creating-das
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4e5dce4e-c849-4d56-8ca9-573216843854' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4e5dce4e-c849-4d56-8ca9-573216843854' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-33310c55-a2f8-496b-a850-809a98d7c474' class='xr-section-summary-in' type='checkbox'  checked><label for='section-33310c55-a2f8-496b-a850-809a98d7c474' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-5f0df2dd-c10b-4e6a-8f58-81a609da7577' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f0df2dd-c10b-4e6a-8f58-81a609da7577' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-548e4f04-8287-433e-ba68-13a31d3239f8' class='xr-var-data-in' type='checkbox'><label for='data-548e4f04-8287-433e-ba68-13a31d3239f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f266f4ac-75c0-4c7e-8ec7-8bd82fa3ae7b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f266f4ac-75c0-4c7e-8ec7-8bd82fa3ae7b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6328bd4d-43c1-45c5-bd65-127ab1df1e04' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6328bd4d-43c1-45c5-bd65-127ab1df1e04' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-f70dfc95-9b97-4628-a8c9-c7f8fa485127' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f70dfc95-9b97-4628-a8c9-c7f8fa485127' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b58ba3bc-0112-43df-aa06-d2204edc3c92' class='xr-var-data-in' type='checkbox'><label for='data-b58ba3bc-0112-43df-aa06-d2204edc3c92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ea88d0a0-3d01-4b08-ab31-4479ada599d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea88d0a0-3d01-4b08-ab31-4479ada599d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1e9c23e-fb6d-4be4-89b1-c00e3b60764f' class='xr-var-data-in' type='checkbox'><label for='data-c1e9c23e-fb6d-4be4-89b1-c00e3b60764f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-63ad83ec-aeb7-45dc-8874-763968ed11f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63ad83ec-aeb7-45dc-8874-763968ed11f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31cc6655-bf30-4697-9eb9-b0d6dea8948a' class='xr-var-data-in' type='checkbox'><label for='data-31cc6655-bf30-4697-9eb9-b0d6dea8948a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-72ed2193-5a20-4c49-8ab3-92daa8afbee5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72ed2193-5a20-4c49-8ab3-92daa8afbee5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c84de7d5-1683-4903-a4fe-70fccf1ba9fa' class='xr-var-data-in' type='checkbox'><label for='data-c84de7d5-1683-4903-a4fe-70fccf1ba9fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-f33efa9d-9982-4e5b-a7c0-c473fd102b17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f33efa9d-9982-4e5b-a7c0-c473fd102b17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c428073-ae53-4347-9918-44cab977f28d' class='xr-var-data-in' type='checkbox'><label for='data-8c428073-ae53-4347-9918-44cab977f28d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4c93ca25-2e4a-4604-aed6-28e4794ddc3a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c93ca25-2e4a-4604-aed6-28e4794ddc3a' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;</div><input id='attrs-4c616d90-02f8-48a3-81e5-573fd2b2f076' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c616d90-02f8-48a3-81e5-573fd2b2f076' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7daac8cb-a7c1-4de5-8089-ee8509f232a0' class='xr-var-data-in' type='checkbox'><label for='data-7daac8cb-a7c1-4de5-8089-ee8509f232a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><table>
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52f43415-6e4b-48d3-8f76-472af690fbc6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-52f43415-6e4b-48d3-8f76-472af690fbc6' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;</div><input id='attrs-a0024df9-59ca-445c-927e-ee0075c449b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0024df9-59ca-445c-927e-ee0075c449b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3660369d-72b2-4b4f-802d-1dfeb9094900' class='xr-var-data-in' type='checkbox'><label for='data-3660369d-72b2-4b4f-802d-1dfeb9094900' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -2188,16 +2205,16 @@ <h2>Creating dask-backed Xarray objects<a class="headerlink" href="#creating-das
 </svg>
         </td>
     </tr>
-</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-020df87e-036a-44e3-bbdc-69a273f6bc66' class='xr-section-summary-in' type='checkbox'  ><label for='section-020df87e-036a-44e3-bbdc-69a273f6bc66' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7194943b-c5cd-4411-8051-bf4c13aa86da' class='xr-index-data-in' type='checkbox'/><label for='index-7194943b-c5cd-4411-8051-bf4c13aa86da' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-ace5fd62-d304-4ce5-a8a6-83918972316e' class='xr-section-summary-in' type='checkbox'  ><label for='section-ace5fd62-d304-4ce5-a8a6-83918972316e' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9852b7d2-951d-429b-b120-9f3f5bdd7aa2' class='xr-index-data-in' type='checkbox'/><label for='index-9852b7d2-951d-429b-b120-9f3f5bdd7aa2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-605b6017-20b7-43e5-924f-83c8330a78c2' class='xr-index-data-in' type='checkbox'/><label for='index-605b6017-20b7-43e5-924f-83c8330a78c2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e45cada4-85f7-40ff-aed2-3d65730c0b7c' class='xr-index-data-in' type='checkbox'/><label for='index-e45cada4-85f7-40ff-aed2-3d65730c0b7c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5d8a6fb1-6fdb-4476-93cf-4cda950a7c46' class='xr-index-data-in' type='checkbox'/><label for='index-5d8a6fb1-6fdb-4476-93cf-4cda950a7c46' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c8bf7bbe-173c-4520-b7bc-d812d09d60da' class='xr-index-data-in' type='checkbox'/><label for='index-c8bf7bbe-173c-4520-b7bc-d812d09d60da' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2208,7 +2225,7 @@ <h2>Creating dask-backed Xarray objects<a class="headerlink" href="#creating-das
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-93d30c1a-ad76-40ca-bdf0-07f643f8a41f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-93d30c1a-ad76-40ca-bdf0-07f643f8a41f' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c723ba8-a14a-4674-9675-6a52278489ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2c723ba8-a14a-4674-9675-6a52278489ca' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="admonition tip">
@@ -2218,7 +2235,7 @@ <h2>Creating dask-backed Xarray objects<a class="headerlink" href="#creating-das
 </div>
 </section>
 <section id="extracting-underlying-data">
-<h2>Extracting underlying data<a class="headerlink" href="#extracting-underlying-data" title="Permalink to this headline">#</a></h2>
+<h2>Extracting underlying data<a class="headerlink" href="#extracting-underlying-data" title="Permalink to this heading">#</a></h2>
 <p>There are two ways to pull out the underlying array object in an xarray object.</p>
 <ol class="arabic simple">
 <li><p><code class="docutils literal notranslate"><span class="pre">.to_numpy</span></code> or <code class="docutils literal notranslate"><span class="pre">.values</span></code> will always return a NumPy array. For dask-backed xarray objects,
@@ -2402,7 +2419,7 @@ <h2>Extracting underlying data<a class="headerlink" href="#extracting-underlying
 <p><a id='compute'></a></p>
 </section>
 <section id="lazy-computation">
-<h2>Lazy computation<a class="headerlink" href="#lazy-computation" title="Permalink to this headline">#</a></h2>
+<h2>Lazy computation<a class="headerlink" href="#lazy-computation" title="Permalink to this heading">#</a></h2>
 <p>Xarray seamlessly wraps dask so all computation is deferred until explicitly
 requested.</p>
 <div class="cell docutils container">
@@ -2780,7 +2797,7 @@ <h2>Lazy computation<a class="headerlink" href="#lazy-computation" title="Permal
 dask.array&lt;chunksize=(25, 25), meta=np.ndarray&gt;
 Coordinates:
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
-  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8be95b45-94c9-4f1a-bd82-52287da76d77' class='xr-array-in' type='checkbox' ><label for='section-8be95b45-94c9-4f1a-bd82-52287da76d77' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(25, 25), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e14c7f97-b032-4b2c-a599-da18303d00f0' class='xr-array-in' type='checkbox' ><label for='section-e14c7f97-b032-4b2c-a599-da18303d00f0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(25, 25), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -2837,23 +2854,23 @@ <h2>Lazy computation<a class="headerlink" href="#lazy-computation" title="Permal
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-c6814c23-c86f-4695-9faf-ce5c813ad475' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c6814c23-c86f-4695-9faf-ce5c813ad475' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-33e66122-5916-416a-89d7-0f7d25547a32' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33e66122-5916-416a-89d7-0f7d25547a32' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acb54a49-d8fb-4c26-95a0-0b1831bfb0ce' class='xr-var-data-in' type='checkbox'><label for='data-acb54a49-d8fb-4c26-95a0-0b1831bfb0ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+</table></div></div></li><li class='xr-section-item'><input id='section-812add8c-dd91-4e74-a260-dd9d7bf72c8e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-812add8c-dd91-4e74-a260-dd9d7bf72c8e' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-51d8ebf7-260c-40b0-89be-3ce9b2e86fa2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51d8ebf7-260c-40b0-89be-3ce9b2e86fa2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77f86df8-2d4f-4805-a84c-b4e66598f999' class='xr-var-data-in' type='checkbox'><label for='data-77f86df8-2d4f-4805-a84c-b4e66598f999' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-9852150d-0fcd-41f0-bc04-99fa35ef3eec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9852150d-0fcd-41f0-bc04-99fa35ef3eec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbf79fb4-a1d8-4229-9eb5-733ec1e64a88' class='xr-var-data-in' type='checkbox'><label for='data-dbf79fb4-a1d8-4229-9eb5-733ec1e64a88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-c7260117-8b79-4664-900d-748cf9568e26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7260117-8b79-4664-900d-748cf9568e26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-158948c3-2ece-49fa-a920-e56b31ab0d58' class='xr-var-data-in' type='checkbox'><label for='data-158948c3-2ece-49fa-a920-e56b31ab0d58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f1073e5f-e3ac-47a1-8043-481c9e647e88' class='xr-section-summary-in' type='checkbox'  ><label for='section-f1073e5f-e3ac-47a1-8043-481c9e647e88' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-54f8a410-e1f1-4d2e-a060-8fdbceca10dd' class='xr-index-data-in' type='checkbox'/><label for='index-54f8a410-e1f1-4d2e-a060-8fdbceca10dd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7b9608a6-a60a-4370-97a6-a9459dacf206' class='xr-section-summary-in' type='checkbox'  ><label for='section-7b9608a6-a60a-4370-97a6-a9459dacf206' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4d1ea269-a2dc-4e8e-bfce-1e2de23f8046' class='xr-index-data-in' type='checkbox'/><label for='index-4d1ea269-a2dc-4e8e-bfce-1e2de23f8046' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-29c85459-b77b-47ba-9f68-025bb49bf409' class='xr-index-data-in' type='checkbox'/><label for='index-29c85459-b77b-47ba-9f68-025bb49bf409' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-026f691a-5d32-4707-b87a-298ff002699b' class='xr-index-data-in' type='checkbox'/><label for='index-026f691a-5d32-4707-b87a-298ff002699b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c9bbb294-8704-43a0-80e6-568592343bbb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c9bbb294-8704-43a0-80e6-568592343bbb' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-255ab046-c537-4f68-9b37-26f29de4fc34' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-255ab046-c537-4f68-9b37-26f29de4fc34' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Dask actually constructs a graph of the required computation. Here it’s pretty simple: The full array is subdivided into 3 arrays. Dask will load each of these subarrays in a separate thread using the default <a class="reference external" href="https://docs.dask.org/en/stable/scheduling.html">single-machine scheduling</a>. You can visualize dask ‘task graphs’ which represent the requested computation:</p>
 <div class="cell docutils container">
@@ -2931,12 +2948,12 @@ <h2>Lazy computation<a class="headerlink" href="#lazy-computation" title="Permal
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/391b90e8631c8ceb484d69e836238bfc463bf4f17241faf4b9e38d30e5a1730b.png" src="../_images/391b90e8631c8ceb484d69e836238bfc463bf4f17241faf4b9e38d30e5a1730b.png" />
+<img alt="../_images/af7b15e67ac26e159606ffadfc8a85e039e1b1991d8432052fb2602b807062f8.png" src="../_images/af7b15e67ac26e159606ffadfc8a85e039e1b1991d8432052fb2602b807062f8.png" />
 </div>
 </div>
 </section>
 <section id="getting-concrete-values">
-<h2>Getting concrete values<a class="headerlink" href="#getting-concrete-values" title="Permalink to this headline">#</a></h2>
+<h2>Getting concrete values<a class="headerlink" href="#getting-concrete-values" title="Permalink to this heading">#</a></h2>
 <p>At some point, you will want to actually get concrete values (<em>usually</em> a numpy array) from dask.</p>
 <p>There are two ways to compute values on dask arrays.</p>
 <ol class="arabic simple">
@@ -2978,7 +2995,7 @@ <h2>Getting concrete values<a class="headerlink" href="#getting-concrete-values"
 </div>
 </section>
 <section id="distributed-clusters">
-<h2>Distributed Clusters<a class="headerlink" href="#distributed-clusters" title="Permalink to this headline">#</a></h2>
+<h2>Distributed Clusters<a class="headerlink" href="#distributed-clusters" title="Permalink to this heading">#</a></h2>
 <p>As your data volumes grow and algorithms get more complex it can be hard to print out task graph representations and understand what Dask is doing behind the scenes. Luckily, you can use Dask’s ‘Distributed’ scheduler to get very useful diagnotisic information.</p>
 <p>First let’s set up a <code class="docutils literal notranslate"><span class="pre">LocalCluster</span></code> using <a class="reference external" href="https://distributed.dask.org/">dask.distributed</a>.</p>
 <p>You can use any kind of Dask cluster. This step is completely independent of
@@ -3007,7 +3024,7 @@ <h2>Distributed Clusters<a class="headerlink" href="#distributed-clusters" title
     <div style="width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;"> </div>
     <div style="margin-left: 48px;">
         <h3 style="margin-bottom: 0px;">Client</h3>
-        <p style="color: #9D9D9D; margin-bottom: 0px;">Client-54ee3f00-c3cd-11ee-9071-7c1e5204f762</p>
+        <p style="color: #9D9D9D; margin-bottom: 0px;">Client-b70d1447-cde4-11ee-90cd-6045bdb39b6d</p>
         <table style="width: 100%; text-align: left;">
 
         <tr>
@@ -3042,7 +3059,7 @@ <h3 style="margin-bottom: 0px;">Client</h3>
     </div>
     <div style="margin-left: 48px;">
         <h3 style="margin-bottom: 0px; margin-top: 0px;">LocalCluster</h3>
-        <p style="color: #9D9D9D; margin-bottom: 0px;">103f78d0</p>
+        <p style="color: #9D9D9D; margin-bottom: 0px;">310a47cb</p>
         <table style="width: 100%; text-align: left;">
             <tr>
                 <td style="text-align: left;">
@@ -3079,11 +3096,11 @@ <h3 style="display: inline;">Scheduler Info</h3>
         <div style="width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;"> </div>
         <div style="margin-left: 48px;">
             <h3 style="margin-bottom: 0px;">Scheduler</h3>
-            <p style="color: #9D9D9D; margin-bottom: 0px;">Scheduler-d8a10ad4-3eef-4321-bb7c-cf01a07aceaa</p>
+            <p style="color: #9D9D9D; margin-bottom: 0px;">Scheduler-4de50eb3-a162-424b-ae45-3ce0588ab453</p>
             <table style="width: 100%; text-align: left;">
                 <tr>
                     <td style="text-align: left;">
-                        <strong>Comm:</strong> tcp://127.0.0.1:43783
+                        <strong>Comm:</strong> tcp://127.0.0.1:44533
                     </td>
                     <td style="text-align: left;">
                         <strong>Workers:</strong> 4
@@ -3125,7 +3142,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 0</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:40053
+                            <strong>Comm: </strong> tcp://127.0.0.1:42167
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -3133,7 +3150,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 0</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:38467/status" target="_blank">http://127.0.0.1:38467/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:42855/status" target="_blank">http://127.0.0.1:42855/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -3141,13 +3158,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 0</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:42129
+                            <strong>Nanny: </strong> tcp://127.0.0.1:43441
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-qzf1mv4t
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-b6l5tvon
                         </td>
                     </tr>
 
@@ -3170,7 +3187,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 1</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:37091
+                            <strong>Comm: </strong> tcp://127.0.0.1:34583
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -3178,7 +3195,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 1</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:41839/status" target="_blank">http://127.0.0.1:41839/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:35125/status" target="_blank">http://127.0.0.1:35125/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -3186,13 +3203,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 1</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:40471
+                            <strong>Nanny: </strong> tcp://127.0.0.1:36683
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-_p5nfafm
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-5wcfw9mg
                         </td>
                     </tr>
 
@@ -3215,7 +3232,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 2</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:46479
+                            <strong>Comm: </strong> tcp://127.0.0.1:36701
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -3223,7 +3240,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 2</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:34443/status" target="_blank">http://127.0.0.1:34443/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:44699/status" target="_blank">http://127.0.0.1:44699/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -3231,13 +3248,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 2</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:44123
+                            <strong>Nanny: </strong> tcp://127.0.0.1:43389
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-6f_eojbm
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-issqqe7s
                         </td>
                     </tr>
 
@@ -3260,7 +3277,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
                 <table style="width: 100%; text-align: left;">
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Comm: </strong> tcp://127.0.0.1:34589
+                            <strong>Comm: </strong> tcp://127.0.0.1:42597
                         </td>
                         <td style="text-align: left;">
                             <strong>Total threads: </strong> 1
@@ -3268,7 +3285,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:33491/status" target="_blank">http://127.0.0.1:33491/status</a>
+                            <strong>Dashboard: </strong> <a href="http://127.0.0.1:43561/status" target="_blank">http://127.0.0.1:43561/status</a>
                         </td>
                         <td style="text-align: left;">
                             <strong>Memory: </strong> 3.90 GiB
@@ -3276,13 +3293,13 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
                     </tr>
                     <tr>
                         <td style="text-align: left;">
-                            <strong>Nanny: </strong> tcp://127.0.0.1:42399
+                            <strong>Nanny: </strong> tcp://127.0.0.1:32911
                         </td>
                         <td style="text-align: left;"></td>
                     </tr>
                     <tr>
                         <td colspan="2" style="text-align: left;">
-                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-vn8gk6wh
+                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-d7tgrmpu
                         </td>
                     </tr>
 
@@ -3334,7 +3351,7 @@ <h4 style="margin-bottom: 0px; display: inline;">Worker: 3</h4>
 </div>
 </section>
 <section id="computation">
-<h2>Computation<a class="headerlink" href="#computation" title="Permalink to this headline">#</a></h2>
+<h2>Computation<a class="headerlink" href="#computation" title="Permalink to this heading">#</a></h2>
 <p>Let’s go back to our xarray DataSet, in addition to computing the mean, other operations such as indexing will automatically use whichever Dask Cluster we are connected to!</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3723,7 +3740,7 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-af5050e2-6575-4f25-bf62-9183989ddfa2' class='xr-array-in' type='checkbox' ><label for='section-af5050e2-6575-4f25-bf62-9183989ddfa2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(2920,), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3f7f7c86-0391-4136-9bed-7e2ee791604f' class='xr-array-in' type='checkbox' ><label for='section-3f7f7c86-0391-4136-9bed-7e2ee791604f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(2920,), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -3778,10 +3795,10 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-e4667df2-33f3-4102-b659-ca528126a9a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4667df2-33f3-4102-b659-ca528126a9a5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>25.0</div><input id='attrs-8fbb39c6-7c88-4c52-bec3-fd440d796d9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fbb39c6-7c88-4c52-bec3-fd440d796d9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5a97742-b0f1-41a9-bb44-3451d56b7184' class='xr-var-data-in' type='checkbox'><label for='data-a5a97742-b0f1-41a9-bb44-3451d56b7184' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(25., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>202.5</div><input id='attrs-dd391e48-93fd-4cc8-aaff-6f373eb31985' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd391e48-93fd-4cc8-aaff-6f373eb31985' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37c25fff-dcbf-4fcd-bb15-20a1885f74fe' class='xr-var-data-in' type='checkbox'><label for='data-37c25fff-dcbf-4fcd-bb15-20a1885f74fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(202.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-084eb898-fb17-4c95-9b17-f0662b82f342' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-084eb898-fb17-4c95-9b17-f0662b82f342' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae4ab96b-c71a-4d8a-968b-41932e3eedbe' class='xr-var-data-in' type='checkbox'><label for='data-ae4ab96b-c71a-4d8a-968b-41932e3eedbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+</table></div></div></li><li class='xr-section-item'><input id='section-f80bd1c8-2686-4bfb-b98d-d0508349de71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f80bd1c8-2686-4bfb-b98d-d0508349de71' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>25.0</div><input id='attrs-904a8b59-cd53-4e61-b96f-4436a6fca3ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-904a8b59-cd53-4e61-b96f-4436a6fca3ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e95e2124-a5d5-4e72-976c-bf93417f9c71' class='xr-var-data-in' type='checkbox'><label for='data-e95e2124-a5d5-4e72-976c-bf93417f9c71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(25., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>202.5</div><input id='attrs-39968bfa-f139-4740-8a0a-0cc002f65962' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39968bfa-f139-4740-8a0a-0cc002f65962' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8d2ecba-b39b-464b-aa8a-a47a9d8e9e25' class='xr-var-data-in' type='checkbox'><label for='data-b8d2ecba-b39b-464b-aa8a-a47a9d8e9e25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(202.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-fb0887f4-b0d4-4345-ae6d-9216bd815efb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb0887f4-b0d4-4345-ae6d-9216bd815efb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a25fa55-cb4f-4d4a-9178-60b61bb603c8' class='xr-var-data-in' type='checkbox'><label for='data-8a25fa55-cb4f-4d4a-9178-60b61bb603c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cef7eeb8-b95e-48b2-8140-0ba7285d8e45' class='xr-section-summary-in' type='checkbox'  ><label for='section-cef7eeb8-b95e-48b2-8140-0ba7285d8e45' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-16e65e8c-8110-40a0-9d97-8463ef4fef7d' class='xr-index-data-in' type='checkbox'/><label for='index-16e65e8c-8110-40a0-9d97-8463ef4fef7d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3dfa9187-891d-43cc-8cc9-424f39678bde' class='xr-section-summary-in' type='checkbox'  ><label for='section-3dfa9187-891d-43cc-8cc9-424f39678bde' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ddcb9e70-f274-46f2-99ba-32929c65831e' class='xr-index-data-in' type='checkbox'/><label for='index-ddcb9e70-f274-46f2-99ba-32929c65831e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3792,7 +3809,7 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e5742dc9-27cb-4b70-8100-d4ae88cf359d' class='xr-section-summary-in' type='checkbox'  ><label for='section-e5742dc9-27cb-4b70-8100-d4ae88cf359d' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-367cb6e3-c98b-4b1b-9085-52df3a621894' class='xr-section-summary-in' type='checkbox'  ><label for='section-367cb6e3-c98b-4b1b-9085-52df3a621894' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>and more complicated operations…</p>
 <div class="cell docutils container">
@@ -4183,7 +4200,7 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b57f7c67-1b2b-4936-923c-f77f424b89a3' class='xr-array-in' type='checkbox' ><label for='section-b57f7c67-1b2b-4936-923c-f77f424b89a3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-43c41824-7ee1-4915-9ef0-d8d6618c8689' class='xr-array-in' type='checkbox' ><label for='section-43c41824-7ee1-4915-9ef0-d8d6618c8689' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -4265,26 +4282,26 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-b0997c45-5829-4a37-8922-454764c79038' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b0997c45-5829-4a37-8922-454764c79038' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-3e4c97bf-0b1b-4be8-83f0-9eee8e9c0a1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e4c97bf-0b1b-4be8-83f0-9eee8e9c0a1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2396f2b6-41e6-4af4-af71-8cf80f9e1a20' class='xr-var-data-in' type='checkbox'><label for='data-2396f2b6-41e6-4af4-af71-8cf80f9e1a20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+</table></div></div></li><li class='xr-section-item'><input id='section-01646214-3a10-4c87-bc22-c2699aa29928' class='xr-section-summary-in' type='checkbox'  checked><label for='section-01646214-3a10-4c87-bc22-c2699aa29928' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-520bf884-25f5-45c3-a17b-5fe5433fca77' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-520bf884-25f5-45c3-a17b-5fe5433fca77' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-23c9a3d3-87bd-48a6-b092-68038b172c60' class='xr-var-data-in' type='checkbox'><label for='data-23c9a3d3-87bd-48a6-b092-68038b172c60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-f0f9b3eb-b703-4b06-be59-270407b6e4a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0f9b3eb-b703-4b06-be59-270407b6e4a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-956cfe6a-f2c5-4f24-943d-284f9dc454e3' class='xr-var-data-in' type='checkbox'><label for='data-956cfe6a-f2c5-4f24-943d-284f9dc454e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-0b2b5d0a-9c13-4edf-8162-68dc17e6bb5d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b2b5d0a-9c13-4edf-8162-68dc17e6bb5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efe19a39-d984-4883-a5c8-527506a591ae' class='xr-var-data-in' type='checkbox'><label for='data-efe19a39-d984-4883-a5c8-527506a591ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-c0598627-9ca8-48da-8a26-2d64109d64a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0598627-9ca8-48da-8a26-2d64109d64a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fa78733-50af-498e-a72b-dfd719f0567e' class='xr-var-data-in' type='checkbox'><label for='data-7fa78733-50af-498e-a72b-dfd719f0567e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9f59cd9d-3c6e-41db-a932-74caaaf1a869' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f59cd9d-3c6e-41db-a932-74caaaf1a869' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac9591af-9cd1-47b1-be5e-03aa4fd088c2' class='xr-var-data-in' type='checkbox'><label for='data-ac9591af-9cd1-47b1-be5e-03aa4fd088c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3ec372f-0f87-476c-ae41-e79fb1bb4790' class='xr-section-summary-in' type='checkbox'  ><label for='section-e3ec372f-0f87-476c-ae41-e79fb1bb4790' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6576e9b0-dcf4-40d3-932f-f6d34fd6dfe9' class='xr-index-data-in' type='checkbox'/><label for='index-6576e9b0-dcf4-40d3-932f-f6d34fd6dfe9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5e1cd6a1-4a28-4684-84c2-921bb57c6633' class='xr-section-summary-in' type='checkbox'  ><label for='section-5e1cd6a1-4a28-4684-84c2-921bb57c6633' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ff0f45de-ac39-4ca5-a47e-abd86da1f4dd' class='xr-index-data-in' type='checkbox'/><label for='index-ff0f45de-ac39-4ca5-a47e-abd86da1f4dd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-215176bd-6b89-4c28-a32a-946cfea72cff' class='xr-index-data-in' type='checkbox'/><label for='index-215176bd-6b89-4c28-a32a-946cfea72cff' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3352e2b6-0021-46db-bdb8-90c2ebf6145e' class='xr-index-data-in' type='checkbox'/><label for='index-3352e2b6-0021-46db-bdb8-90c2ebf6145e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f8c0e279-9b67-412f-b681-4b62297de8bd' class='xr-index-data-in' type='checkbox'/><label for='index-f8c0e279-9b67-412f-b681-4b62297de8bd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2a8057a0-6856-404c-96fc-b39faad7d692' class='xr-index-data-in' type='checkbox'/><label for='index-2a8057a0-6856-404c-96fc-b39faad7d692' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -4295,7 +4312,7 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b2d4af05-ef6b-44d9-8eaf-c71a75fcf855' class='xr-section-summary-in' type='checkbox'  ><label for='section-b2d4af05-ef6b-44d9-8eaf-c71a75fcf855' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d68a631c-5e4a-47bf-9291-37606ea5d5e1' class='xr-section-summary-in' type='checkbox'  ><label for='section-d68a631c-5e4a-47bf-9291-37606ea5d5e1' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -4685,7 +4702,7 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-35e4b96c-a738-4196-ab32-ee8c52563343' class='xr-array-in' type='checkbox' ><label for='section-35e4b96c-a738-4196-ab32-ee8c52563343' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(2920,), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a47ad533-afea-42dd-bd17-dd682f4a2421' class='xr-array-in' type='checkbox' ><label for='section-a47ad533-afea-42dd-bd17-dd682f4a2421' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(2920,), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -4740,10 +4757,10 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-e12a2bf1-bdb6-4007-a37d-35edab5be1c2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e12a2bf1-bdb6-4007-a37d-35edab5be1c2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>25.0</div><input id='attrs-8ab5650c-08e1-49ba-92ae-09343e611c0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ab5650c-08e1-49ba-92ae-09343e611c0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-970c3edf-24c2-43fa-8dcc-8e4d73b2158c' class='xr-var-data-in' type='checkbox'><label for='data-970c3edf-24c2-43fa-8dcc-8e4d73b2158c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(25., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>202.5</div><input id='attrs-b3c7ef13-4c67-48aa-988f-32930d2aaddc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3c7ef13-4c67-48aa-988f-32930d2aaddc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b2d5972-5041-4e02-b717-ec5c794822d3' class='xr-var-data-in' type='checkbox'><label for='data-4b2d5972-5041-4e02-b717-ec5c794822d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(202.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-9822b0ba-449d-4db0-9234-a11a1fcb87ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9822b0ba-449d-4db0-9234-a11a1fcb87ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c5de99d-99b4-42ee-95c1-543b3858afdf' class='xr-var-data-in' type='checkbox'><label for='data-9c5de99d-99b4-42ee-95c1-543b3858afdf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+</table></div></div></li><li class='xr-section-item'><input id='section-d305255f-18d3-40a9-994f-7d1422d9ae4e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d305255f-18d3-40a9-994f-7d1422d9ae4e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>25.0</div><input id='attrs-66d56540-15a1-4be4-828a-b733a5f31979' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66d56540-15a1-4be4-828a-b733a5f31979' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bbeafe2-8570-4175-b6d8-6fe328d35558' class='xr-var-data-in' type='checkbox'><label for='data-4bbeafe2-8570-4175-b6d8-6fe328d35558' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(25., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>202.5</div><input id='attrs-d3c82a14-1348-4c43-a8fc-8e63aee82452' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3c82a14-1348-4c43-a8fc-8e63aee82452' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eae12986-2cc0-4c13-b29d-07061bd9b9d0' class='xr-var-data-in' type='checkbox'><label for='data-eae12986-2cc0-4c13-b29d-07061bd9b9d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(202.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-4c4e570c-6d2e-446d-99a1-9bfde7e001b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c4e570c-6d2e-446d-99a1-9bfde7e001b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e09fc204-802c-498b-956f-631e03f20f28' class='xr-var-data-in' type='checkbox'><label for='data-e09fc204-802c-498b-956f-631e03f20f28' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9fba89f0-406d-4999-a445-d4d651a1fe37' class='xr-section-summary-in' type='checkbox'  ><label for='section-9fba89f0-406d-4999-a445-d4d651a1fe37' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-19949a92-d73e-4f1e-9807-7c7694e9c576' class='xr-index-data-in' type='checkbox'/><label for='index-19949a92-d73e-4f1e-9807-7c7694e9c576' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89320fe0-3761-409a-bfd0-8ff016141637' class='xr-section-summary-in' type='checkbox'  ><label for='section-89320fe0-3761-409a-bfd0-8ff016141637' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-37d250e6-3473-45ad-9452-9772e67fb8f9' class='xr-index-data-in' type='checkbox'/><label for='index-37d250e6-3473-45ad-9452-9772e67fb8f9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -4754,7 +4771,7 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f7848ad3-d06f-43bc-9a0c-8042a198d8bb' class='xr-section-summary-in' type='checkbox'  ><label for='section-f7848ad3-d06f-43bc-9a0c-8042a198d8bb' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cf3a6dbb-92a6-4ef2-b4b6-44b6d342e75f' class='xr-section-summary-in' type='checkbox'  ><label for='section-cf3a6dbb-92a6-4ef2-b4b6-44b6d342e75f' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -5144,7 +5161,7 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1eb4a093-0593-4761-b697-ef769329c9a7' class='xr-array-in' type='checkbox' ><label for='section-1eb4a093-0593-4761-b697-ef769329c9a7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan ... 297.4 297.3 297.2 296.5 296.1 295.6</span></div><div class='xr-array-data'><pre>array([[[      nan,       nan, ...,       nan,       nan],
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fed7e432-9f26-4287-8af8-3dc5cbf062f2' class='xr-array-in' type='checkbox' ><label for='section-fed7e432-9f26-4287-8af8-3dc5cbf062f2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan ... 297.4 297.3 297.2 296.5 296.1 295.6</span></div><div class='xr-array-data'><pre>array([[[      nan,       nan, ...,       nan,       nan],
         [      nan,       nan, ...,       nan,       nan],
         ...,
         [      nan,       nan, ...,       nan,       nan],
@@ -5168,26 +5185,26 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
         [248.98999, 248.90999, ..., 241.68999, 243.32999],
         ...,
         [296.57   , 297.57   , ..., 295.62997, 294.95   ],
-        [297.95   , 298.69   , ..., 296.07   , 295.65   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-3c69652d-1b2d-47a2-929e-2549aee2733b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3c69652d-1b2d-47a2-929e-2549aee2733b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-3d1f869f-ad79-479c-a92f-df8b90de0a60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d1f869f-ad79-479c-a92f-df8b90de0a60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53c4e4d0-0796-45cd-bb2c-9b1480ca7b6e' class='xr-var-data-in' type='checkbox'><label for='data-53c4e4d0-0796-45cd-bb2c-9b1480ca7b6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        [297.95   , 298.69   , ..., 296.07   , 295.65   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-5aa62e17-75ca-4aff-9f6b-f9798574d056' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5aa62e17-75ca-4aff-9f6b-f9798574d056' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-c30de92f-aed4-4542-8c67-32fe96aab319' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c30de92f-aed4-4542-8c67-32fe96aab319' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-459f9c4c-e41e-4ca7-8259-4641aff1a8ff' class='xr-var-data-in' type='checkbox'><label for='data-459f9c4c-e41e-4ca7-8259-4641aff1a8ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-0c4f03dd-3e14-4d76-beb2-99d2aebad735' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c4f03dd-3e14-4d76-beb2-99d2aebad735' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ade9e4cc-497f-4d0d-ab3d-70c310b7aee7' class='xr-var-data-in' type='checkbox'><label for='data-ade9e4cc-497f-4d0d-ab3d-70c310b7aee7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-e0b4fd21-caaf-4a8b-968b-b74d242648b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0b4fd21-caaf-4a8b-968b-b74d242648b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb109163-6d9e-49d5-b0fd-380e845377fc' class='xr-var-data-in' type='checkbox'><label for='data-fb109163-6d9e-49d5-b0fd-380e845377fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-83608f17-158c-41c6-ae40-a8306b189c9b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-83608f17-158c-41c6-ae40-a8306b189c9b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f770ddb1-d41c-4725-a947-9c87bdf8f76a' class='xr-var-data-in' type='checkbox'><label for='data-f770ddb1-d41c-4725-a947-9c87bdf8f76a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-da341abf-feeb-40e8-afa5-f38cc8712b92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da341abf-feeb-40e8-afa5-f38cc8712b92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3f412a46-eca8-4558-91f0-9ce259a4a04a' class='xr-var-data-in' type='checkbox'><label for='data-3f412a46-eca8-4558-91f0-9ce259a4a04a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6fa118d3-6356-40a1-a389-96888835542b' class='xr-section-summary-in' type='checkbox'  ><label for='section-6fa118d3-6356-40a1-a389-96888835542b' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1f3af5d1-306d-4708-9d20-b412b26a85f4' class='xr-index-data-in' type='checkbox'/><label for='index-1f3af5d1-306d-4708-9d20-b412b26a85f4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d447842-80d3-4d04-b765-680dedcec1a7' class='xr-section-summary-in' type='checkbox'  ><label for='section-3d447842-80d3-4d04-b765-680dedcec1a7' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d70a953b-3e0f-4954-bb48-07c0273d62e1' class='xr-index-data-in' type='checkbox'/><label for='index-d70a953b-3e0f-4954-bb48-07c0273d62e1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f4a958b4-455a-45bc-a22b-b2e787cfcb1b' class='xr-index-data-in' type='checkbox'/><label for='index-f4a958b4-455a-45bc-a22b-b2e787cfcb1b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-72d0687c-ff4e-477d-89b1-65b8cef96852' class='xr-index-data-in' type='checkbox'/><label for='index-72d0687c-ff4e-477d-89b1-65b8cef96852' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-34830724-0f14-46e2-9360-17f4833fcc3a' class='xr-index-data-in' type='checkbox'/><label for='index-34830724-0f14-46e2-9360-17f4833fcc3a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0f03a93-0972-4b6a-bf80-f3f99681d94a' class='xr-index-data-in' type='checkbox'/><label for='index-e0f03a93-0972-4b6a-bf80-f3f99681d94a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -5198,7 +5215,7 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e1ededaa-2b85-4a97-8343-2af1dbafd7ec' class='xr-section-summary-in' type='checkbox'  ><label for='section-e1ededaa-2b85-4a97-8343-2af1dbafd7ec' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-99770d9d-11eb-4801-9073-4538d5c77107' class='xr-section-summary-in' type='checkbox'  ><label for='section-99770d9d-11eb-4801-9073-4538d5c77107' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Note that <code class="docutils literal notranslate"><span class="pre">mean</span></code> still contains a dask array</p>
 <div class="cell docutils container">
@@ -5588,7 +5605,7 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-eb842d87-8d50-4268-b8c6-fa29e10f78cc' class='xr-array-in' type='checkbox' ><label for='section-eb842d87-8d50-4268-b8c6-fa29e10f78cc' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fe643a08-3575-4f09-a2a7-e618c254aa99' class='xr-array-in' type='checkbox' ><label for='section-fe643a08-3575-4f09-a2a7-e618c254aa99' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(2920, 25, 25), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -5670,26 +5687,26 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-a8272506-835e-4744-b826-ef0c305211a9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a8272506-835e-4744-b826-ef0c305211a9' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-0d85992f-3983-48cd-baf1-2cb5d54cf1b3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d85992f-3983-48cd-baf1-2cb5d54cf1b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95426fae-7f47-44b0-a217-c3f55dcbe025' class='xr-var-data-in' type='checkbox'><label for='data-95426fae-7f47-44b0-a217-c3f55dcbe025' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+</table></div></div></li><li class='xr-section-item'><input id='section-b8b56a8f-aa2b-424e-876a-6b1c67455477' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b8b56a8f-aa2b-424e-876a-6b1c67455477' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-df72d7c6-674e-42cc-805a-97f7fa45b35b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df72d7c6-674e-42cc-805a-97f7fa45b35b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ffd5e26-ce70-41e4-b2cd-a3533f3aabf0' class='xr-var-data-in' type='checkbox'><label for='data-0ffd5e26-ce70-41e4-b2cd-a3533f3aabf0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-3f5a49df-07d2-4bdd-9f0d-473127267e66' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f5a49df-07d2-4bdd-9f0d-473127267e66' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c28eec6-0e49-4572-90eb-145890927905' class='xr-var-data-in' type='checkbox'><label for='data-8c28eec6-0e49-4572-90eb-145890927905' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-88ea4ad1-afe7-4221-9a43-c665531b04ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88ea4ad1-afe7-4221-9a43-c665531b04ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5bc5b456-c9eb-46d6-b294-0ffed8582c42' class='xr-var-data-in' type='checkbox'><label for='data-5bc5b456-c9eb-46d6-b294-0ffed8582c42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-c6bad8a9-57c7-4b5e-a09f-cbbff4922123' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6bad8a9-57c7-4b5e-a09f-cbbff4922123' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe72e682-ee40-4276-95eb-1f967f5b83e0' class='xr-var-data-in' type='checkbox'><label for='data-fe72e682-ee40-4276-95eb-1f967f5b83e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-2ee728cb-fc20-42cf-8fe5-7172dcbf43a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2ee728cb-fc20-42cf-8fe5-7172dcbf43a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2bc103d-f3e2-4de5-abbc-c3e55bfd54d0' class='xr-var-data-in' type='checkbox'><label for='data-f2bc103d-f3e2-4de5-abbc-c3e55bfd54d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5bcc20dd-cada-4062-8cb9-78fd73ea1990' class='xr-section-summary-in' type='checkbox'  ><label for='section-5bcc20dd-cada-4062-8cb9-78fd73ea1990' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8625db99-3248-48bb-a3e9-471354dceca6' class='xr-index-data-in' type='checkbox'/><label for='index-8625db99-3248-48bb-a3e9-471354dceca6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-db763e46-4b73-42b5-947c-e06ad8ac6c45' class='xr-section-summary-in' type='checkbox'  ><label for='section-db763e46-4b73-42b5-947c-e06ad8ac6c45' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-63d3a1f7-59d6-4e01-8799-68032c0303cb' class='xr-index-data-in' type='checkbox'/><label for='index-63d3a1f7-59d6-4e01-8799-68032c0303cb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bee19b96-7c89-408b-8afb-4c65d351bebe' class='xr-index-data-in' type='checkbox'/><label for='index-bee19b96-7c89-408b-8afb-4c65d351bebe' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e4cd8396-84be-4fd1-88b6-83998b95c208' class='xr-index-data-in' type='checkbox'/><label for='index-e4cd8396-84be-4fd1-88b6-83998b95c208' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-170a4231-3ef3-48cb-a680-ebead8e4ecd7' class='xr-index-data-in' type='checkbox'/><label for='index-170a4231-3ef3-48cb-a680-ebead8e4ecd7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f71b20ee-0171-4fb6-91fc-d0b20801efe1' class='xr-index-data-in' type='checkbox'/><label for='index-f71b20ee-0171-4fb6-91fc-d0b20801efe1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -5700,7 +5717,7 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33cebabd-16e9-4aa1-bc9e-51261da614c7' class='xr-section-summary-in' type='checkbox'  ><label for='section-33cebabd-16e9-4aa1-bc9e-51261da614c7' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f2c19ddc-7e50-4a54-8334-68e9b47d282a' class='xr-section-summary-in' type='checkbox'  ><label for='section-f2c19ddc-7e50-4a54-8334-68e9b47d282a' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="admonition tip">
 <p class="admonition-title">Tip</p>
@@ -5708,7 +5725,7 @@ <h2>Computation<a class="headerlink" href="#computation" title="Permalink to thi
 </div>
 </section>
 <section id="xarray-data-structures-are-first-class-dask-collections">
-<h2>Xarray data structures are first-class dask collections.<a class="headerlink" href="#xarray-data-structures-are-first-class-dask-collections" title="Permalink to this headline">#</a></h2>
+<h2>Xarray data structures are first-class dask collections.<a class="headerlink" href="#xarray-data-structures-are-first-class-dask-collections" title="Permalink to this heading">#</a></h2>
 <p>This means you can do things like <code class="docutils literal notranslate"><span class="pre">dask.compute(xarray_object)</span></code>,
 <code class="docutils literal notranslate"><span class="pre">dask.visualize(xarray_object)</span></code>, <code class="docutils literal notranslate"><span class="pre">dask.persist(xarray_object)</span></code>. This works for
 both DataArrays and Datasets</p>
@@ -5721,7 +5738,7 @@ <h2>Xarray data structures are first-class dask collections.<a class="headerlink
 </div>
 </section>
 <section id="finish-up">
-<h2>Finish up<a class="headerlink" href="#finish-up" title="Permalink to this headline">#</a></h2>
+<h2>Finish up<a class="headerlink" href="#finish-up" title="Permalink to this heading">#</a></h2>
 <p>Gracefully shutdown our connection to the Dask cluster. This becomes more important when you are running on large HPC or Cloud servers rather than a laptop!</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -5732,7 +5749,7 @@ <h2>Finish up<a class="headerlink" href="#finish-up" title="Permalink to this he
 </div>
 </section>
 <section id="next">
-<h2>Next<a class="headerlink" href="#next" title="Permalink to this headline">#</a></h2>
+<h2>Next<a class="headerlink" href="#next" title="Permalink to this heading">#</a></h2>
 <p>See the <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/dask.html">Xarray user guide on dask</a>.</p>
 </section>
 </section>
@@ -5762,11 +5779,10 @@ <h2>Next<a class="headerlink" href="#next" title="Permalink to this headline">#<
 
               
               
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+              
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@@ -5786,10 +5802,7 @@ <h2>Next<a class="headerlink" href="#next" title="Permalink to this headline">#<
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@@ -5798,6 +5811,7 @@ <h2>Next<a class="headerlink" href="#next" title="Permalink to this headline">#<
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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@@ -5842,6 +5856,7 @@ <h2>Next<a class="headerlink" href="#next" title="Permalink to this headline">#<
   
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+
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@@ -5868,8 +5883,8 @@ <h2>Next<a class="headerlink" href="#next" title="Permalink to this headline">#<
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+  <script src="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
+<script src="../_static/scripts/pydata-sphinx-theme.js?digest=8d27b9dea8ad943066ae"></script>
 
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diff --git a/intermediate/xarray_ecosystem.html b/intermediate/xarray_ecosystem.html
index 82dbe7a3..1572b5c6 100644
--- a/intermediate/xarray_ecosystem.html
+++ b/intermediate/xarray_ecosystem.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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@@ -19,15 +19,15 @@
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+  <link href="../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
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@@ -85,7 +87,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
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@@ -120,12 +130,15 @@
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+
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+
   
 
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@@ -146,13 +160,14 @@
   
   
   
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+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -464,20 +479,22 @@
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+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -524,11 +541,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="a-tour-of-xarray-customizations">
-<h1>A Tour of Xarray Customizations<a class="headerlink" href="#a-tour-of-xarray-customizations" title="Permalink to this headline">#</a></h1>
+<h1>A Tour of Xarray Customizations<a class="headerlink" href="#a-tour-of-xarray-customizations" title="Permalink to this heading">#</a></h1>
 <p>Xarray is easily extensible.
 This means it is easy to add on to to build custom packages that tackle particular computational problems or supply domain specific functionality.</p>
 <p>These packages can plug in to xarray in various different ways. They may build directly on top of xarray, or they may take advantage of some of xarray’s dedicated interfacing features:</p>
@@ -556,13 +573,13 @@ <h1>A Tour of Xarray Customizations<a class="headerlink" href="#a-tour-of-xarray
 </div>
 </div>
 <section id="quick-note-on-accessors">
-<h2>Quick note on accessors<a class="headerlink" href="#quick-note-on-accessors" title="Permalink to this headline">#</a></h2>
+<h2>Quick note on accessors<a class="headerlink" href="#quick-note-on-accessors" title="Permalink to this heading">#</a></h2>
 <p>Before we look at the packages we need to briefly introduce a feature they commonly use: <a class="reference external" href="https://docs.xarray.dev/en/stable/internals/extending-xarray.html">“xarray accessors”</a>.</p>
 <p>The accessor-style syntax is used heavily by the other libraries we are about to cover.</p>
 <p>For users, accessors just allow us to have a familiar dot (method-like) syntax on xarray objects, for example <code class="docutils literal notranslate"><span class="pre">da.hvplot()</span></code>, <code class="docutils literal notranslate"><span class="pre">da.pint.quantify()</span></code>, or <code class="docutils literal notranslate"><span class="pre">da.cf.describe()</span></code>.</p>
 </section>
 <section id="hvplot-via-accessors">
-<h2>hvplot via accessors<a class="headerlink" href="#hvplot-via-accessors" title="Permalink to this headline">#</a></h2>
+<h2>hvplot via accessors<a class="headerlink" href="#hvplot-via-accessors" title="Permalink to this heading">#</a></h2>
 <p>The <a class="reference external" href="https://holoviews.org/">HoloViews library</a> makes great use of accessors to allow seamless plotting of xarray data using a completely different plotting backend (by default, xarray uses <a class="reference external" href="https://matplotlib.org/">matplotlib</a>).</p>
 <p>We first need to import the code that registers the hvplot accessor</p>
 <div class="cell docutils container">
@@ -578,11 +595,9 @@ <h2>hvplot via accessors<a class="headerlink" href="#hvplot-via-accessors" title
   }
 
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-  var is_dev = py_version.indexOf("+") !== -1 || py_version.indexOf("-") !== -1;
+  var py_version = '3.3.4'.replace('rc', '-rc.').replace('.dev', '-dev.');
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-  var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));
 
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@@ -694,17 +709,17 @@ <h2>hvplot via accessors<a class="headerlink" href="#hvplot-via-accessors" title
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+      var urls = ['https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];
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+      var urls = ['https://cdn.holoviz.org/panel/1.3.8/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];
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-      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];
+      var urls = ['https://cdn.holoviz.org/panel/1.3.8/dist/bundled/notificationarea/notyf@3/notyf.min.js'];
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@@ -780,7 +795,7 @@ <h2>hvplot via accessors<a class="headerlink" href="#hvplot-via-accessors" title
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+  var js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.3.4.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.4.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.4.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.4.min.js", "https://cdn.holoviz.org/panel/1.3.8/dist/panel.min.js"];
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@@ -830,11 +851,10 @@ <h2>hvplot via accessors<a class="headerlink" href="#hvplot-via-accessors" title
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       root._bokeh_is_initializing = true
       root._bokeh_onload_callbacks = []
-      if (!reloading && (!bokeh_loaded || is_dev)) {
+      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));
+      if (!reloading && !bokeh_loaded) {
 	root.Bokeh = undefined;
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       load_libs(css_urls, js_urls, js_modules, js_exports, function() {
@@ -1094,13 +1114,77 @@ <h2>hvplot via accessors<a class="headerlink" href="#hvplot-via-accessors" title
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+	  root_el.id = root_el.id + '-rendered'
+	}
+      }
+    }
+  }
+  function get_bokeh(root) {
+    if (root.Bokeh === undefined) {
+      return null
+    } else if (root.Bokeh.version !== py_version) {
+      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
+	return null
+      }
+      return root.Bokeh.versions.get(py_version);
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+      return root.Bokeh
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+    return null
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+  function is_loaded(root) {
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 </div>
 <p>And now we can call the <code class="docutils literal notranslate"><span class="pre">.hvplot</span></code> method to plot using holoviews in the same way that we would have used <code class="docutils literal notranslate"><span class="pre">.plot</span></code> to plot using matplotlib.</p>
 <div class="cell docutils container">
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fa-exclamation-triangle"],["tagName","i"],["color","white"]]}]]},{"type":"map","entries":[["type","info"],["background","#007bff"],["icon",{"type":"map","entries":[["className","fas fa-info-circle"],["tagName","i"],["color","white"]]}]]}]}]},{"type":"model","name":"Notification","properties":[{"name":"background","kind":"Any","default":null},{"name":"duration","kind":"Any","default":3000},{"name":"icon","kind":"Any","default":null},{"name":"message","kind":"Any","default":""},{"name":"notification_type","kind":"Any","default":null},{"name":"_destroyed","kind":"Any","default":false}]},{"type":"model","name":"TemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"BootstrapTemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"MaterialTemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]}]}};
+  var render_items = [{"docid":"bfbd156c-7bdd-4ac8-9797-a1d2e2b5f340","roots":{"p1004":"dfb3fabb-bbd2-49be-a9af-62e022f4e40f"},"root_ids":["p1004"]}];
   var docs = Object.values(docs_json)
   if (!docs) {
     return
   }
   const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
-  const is_dev = py_version.indexOf("+") !== -1 || py_version.indexOf("-") !== -1
   function embed_document(root) {
     var Bokeh = get_bokeh(root)
     Bokeh.embed.embed_items_notebook(docs_json, render_items);
@@ -1145,7 +1228,7 @@ <h2>hvplot via accessors<a class="headerlink" href="#hvplot-via-accessors" title
   function get_bokeh(root) {
     if (root.Bokeh === undefined) {
       return null
-    } else if (root.Bokeh.version !== py_version && !is_dev) {
+    } else if (root.Bokeh.version !== py_version) {
       if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
 	return null
       }
@@ -1187,7 +1270,7 @@ <h2>hvplot via accessors<a class="headerlink" href="#hvplot-via-accessors" title
 <p>For some more examples of how powerful HoloViews is <a class="reference external" href="https://tutorial.xarray.dev/intermediate/hvplot.html">see here</a>.</p>
 </section>
 <section id="rioxarray-via-the-backend-entrypoint">
-<h2>Rioxarray via the backend entrypoint<a class="headerlink" href="#rioxarray-via-the-backend-entrypoint" title="Permalink to this headline">#</a></h2>
+<h2>Rioxarray via the backend entrypoint<a class="headerlink" href="#rioxarray-via-the-backend-entrypoint" title="Permalink to this heading">#</a></h2>
 <p><a class="reference external" href="https://corteva.github.io/rioxarray/stable/index.html">Rioxarray</a> is a Python library that enhances Xarray’s ability to work with geospatial data and coordinate reference systems. Geographic information systems use GeoTIFF and <a class="reference external" href="https://gdal.org/drivers/raster/index.html">many other formats</a> to organize and store gridded, or <em>raster</em>, datasets.</p>
 <p>The Geospatial Data Abstraction Library (<a class="reference external" href="https://gdal.org">GDAL</a>) provides foundational drivers and geospatial algorithms, and the <a class="reference external" href="https://rasterio.readthedocs.io/en/latest">rasterio</a> library provides a Pythonic interface to GDAL. <code class="docutils literal notranslate"><span class="pre">Rioxarray</span></code> brings key features of rasterio to Xarray:</p>
 <ol class="arabic simple">
@@ -1594,9 +1677,9 @@ <h2>Rioxarray via the backend entrypoint<a class="headerlink" href="#rioxarray-v
     SCENE_1_METADATA:       {&quot;title&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170...
     SCENE_1_PRODUCT_INFO:   {&quot;id&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170101...
     TILE_ID:                10UCU
-    VALID_PIXEL_PERCENT:    66.318</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'band_data'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 1</li><li><span class='xr-has-index'>y</span>: 687</li><li><span class='xr-has-index'>x</span>: 687</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-08958927-ef48-448e-8425-7884711fde8f' class='xr-array-in' type='checkbox' checked><label for='section-08958927-ef48-448e-8425-7884711fde8f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[471969 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-7451ef19-9ae0-4097-a796-0462cbb7e847' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7451ef19-9ae0-4097-a796-0462cbb7e847' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-3c988cde-cfc2-4c90-8026-71f1bf48f84f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3c988cde-cfc2-4c90-8026-71f1bf48f84f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e88d931-f941-4aa0-9ad6-44b020c3dd45' class='xr-var-data-in' type='checkbox'><label for='data-9e88d931-f941-4aa0-9ad6-44b020c3dd45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.001e+05 3.002e+05 ... 4.097e+05</div><input id='attrs-759588ce-9471-464b-8240-8587fa5a765e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-759588ce-9471-464b-8240-8587fa5a765e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-039a9f06-b57f-4c0d-ac7c-76297c4974cb' class='xr-var-data-in' type='checkbox'><label for='data-039a9f06-b57f-4c0d-ac7c-76297c4974cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300079.912664, 300239.737991, 300399.563319, ..., 409400.436681,
-       409560.262009, 409720.087336])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.4e+06 5.4e+06 ... 5.29e+06</div><input id='attrs-dbc44b53-5588-4f08-b0d1-c2fa00462ddc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dbc44b53-5588-4f08-b0d1-c2fa00462ddc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33565038-ca7f-41a0-bdb8-b72c3de8c96b' class='xr-var-data-in' type='checkbox'><label for='data-33565038-ca7f-41a0-bdb8-b72c3de8c96b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5399920.087336, 5399760.262009, 5399600.436681, ..., 5290599.563319,
-       5290439.737991, 5290279.912664])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6f8b68fd-31cc-479e-bc6b-c12a28b3ef2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6f8b68fd-31cc-479e-bc6b-c12a28b3ef2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03fe948d-0a48-4f45-a43c-c74ada89af45' class='xr-var-data-in' type='checkbox'><label for='data-03fe948d-0a48-4f45-a43c-c74ada89af45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 10N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-123],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32610&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 10N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-123.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 10N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-123],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32610&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>300000.0 159.82532751091702 0.0 5400000.0 0.0 -159.82532751091702</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4c31f280-788f-4557-b85f-1079236b26ed' class='xr-section-summary-in' type='checkbox'  ><label for='section-4c31f280-788f-4557-b85f-1079236b26ed' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d1f54d05-c236-4432-a8eb-2ff3b12a53f3' class='xr-index-data-in' type='checkbox'/><label for='index-d1f54d05-c236-4432-a8eb-2ff3b12a53f3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1], dtype=&#x27;int64&#x27;, name=&#x27;band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f5924291-a509-4bab-920b-af6c2939e176' class='xr-index-data-in' type='checkbox'/><label for='index-f5924291-a509-4bab-920b-af6c2939e176' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 300079.9126637555,  300239.7379912664,  300399.5633187773,
+    VALID_PIXEL_PERCENT:    66.318</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'band_data'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 1</li><li><span class='xr-has-index'>y</span>: 687</li><li><span class='xr-has-index'>x</span>: 687</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-400c6a70-d811-469a-bd78-79e34cd23f05' class='xr-array-in' type='checkbox' checked><label for='section-400c6a70-d811-469a-bd78-79e34cd23f05' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[471969 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-00256bcd-7dc3-4b78-8b32-b56eceeb2cb6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-00256bcd-7dc3-4b78-8b32-b56eceeb2cb6' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-887c8aaa-f44d-48b4-af15-8e0dd3565210' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-887c8aaa-f44d-48b4-af15-8e0dd3565210' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc71ff4d-01ed-4df2-b517-bcda31f38f8b' class='xr-var-data-in' type='checkbox'><label for='data-fc71ff4d-01ed-4df2-b517-bcda31f38f8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.001e+05 3.002e+05 ... 4.097e+05</div><input id='attrs-9064d15e-89b0-4ef0-ba80-63a9753d9938' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9064d15e-89b0-4ef0-ba80-63a9753d9938' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52f68c9a-43a7-4f9a-9758-fe66fc8b8d48' class='xr-var-data-in' type='checkbox'><label for='data-52f68c9a-43a7-4f9a-9758-fe66fc8b8d48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([300079.912664, 300239.737991, 300399.563319, ..., 409400.436681,
+       409560.262009, 409720.087336])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.4e+06 5.4e+06 ... 5.29e+06</div><input id='attrs-fcf30240-528a-4eb6-b099-a2c5fd9012ac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fcf30240-528a-4eb6-b099-a2c5fd9012ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-851128d0-7a62-4228-8d81-a83d6e58027a' class='xr-var-data-in' type='checkbox'><label for='data-851128d0-7a62-4228-8d81-a83d6e58027a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([5399920.087336, 5399760.262009, 5399600.436681, ..., 5290599.563319,
+       5290439.737991, 5290279.912664])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da2b898e-40c9-4950-a6e2-8e029a39a903' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da2b898e-40c9-4950-a6e2-8e029a39a903' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70c3eb85-f9c4-42a9-8819-cafca5d358fd' class='xr-var-data-in' type='checkbox'><label for='data-70c3eb85-f9c4-42a9-8819-cafca5d358fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 10N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-123],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32610&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>projected_crs_name :</span></dt><dd>WGS 84 / UTM zone 10N</dd><dt><span>grid_mapping_name :</span></dt><dd>transverse_mercator</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>0.0</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-123.0</dd><dt><span>false_easting :</span></dt><dd>500000.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>scale_factor_at_central_meridian :</span></dt><dd>0.9996</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS[&quot;WGS 84 / UTM zone 10N&quot;,GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;latitude_of_origin&quot;,0],PARAMETER[&quot;central_meridian&quot;,-123],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;false_easting&quot;,500000],PARAMETER[&quot;false_northing&quot;,0],UNIT[&quot;metre&quot;,1,AUTHORITY[&quot;EPSG&quot;,&quot;9001&quot;]],AXIS[&quot;Easting&quot;,EAST],AXIS[&quot;Northing&quot;,NORTH],AUTHORITY[&quot;EPSG&quot;,&quot;32610&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>300000.0 159.82532751091702 0.0 5400000.0 0.0 -159.82532751091702</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2c703ae4-684e-4c18-98fd-dc34e8a9bee9' class='xr-section-summary-in' type='checkbox'  ><label for='section-2c703ae4-684e-4c18-98fd-dc34e8a9bee9' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-713b400b-ada3-4171-8c23-dd1e28f803ea' class='xr-index-data-in' type='checkbox'/><label for='index-713b400b-ada3-4171-8c23-dd1e28f803ea' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1], dtype=&#x27;int64&#x27;, name=&#x27;band&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a276bac6-9d39-4043-9929-0df2fd4006b4' class='xr-index-data-in' type='checkbox'/><label for='index-a276bac6-9d39-4043-9929-0df2fd4006b4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 300079.9126637555,  300239.7379912664,  300399.5633187773,
        300559.38864628825, 300719.21397379914,  300879.0393013101,
          301038.864628821,  301198.6899563319,  301358.5152838428,
        301518.34061135375,
@@ -1605,7 +1688,7 @@ <h2>Rioxarray via the backend entrypoint<a class="headerlink" href="#rioxarray-v
          408761.135371179,    408920.96069869, 409080.78602620086,
         409240.6113537118,  409400.4366812227, 409560.26200873364,
         409720.0873362445],
-      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=687))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a5cc983e-c50c-4774-bb09-58431e62e8fc' class='xr-index-data-in' type='checkbox'/><label for='index-a5cc983e-c50c-4774-bb09-58431e62e8fc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 5399920.087336245,  5399760.262008734,  5399600.436681223,
+      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=687))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-605ea98c-ea60-4b81-93bb-ad9f31b47b26' class='xr-index-data-in' type='checkbox'/><label for='index-605ea98c-ea60-4b81-93bb-ad9f31b47b26' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 5399920.087336245,  5399760.262008734,  5399600.436681223,
         5399440.611353712,  5399280.786026201,   5399120.96069869,
         5398961.135371179,  5398801.310043668,  5398641.484716157,
        5398481.6593886465,
@@ -1614,7 +1697,7 @@ <h2>Rioxarray via the backend entrypoint<a class="headerlink" href="#rioxarray-v
         5291238.864628822,  5291079.039301311,    5290919.2139738,
         5290759.388646289,  5290599.563318778,  5290439.737991267,
         5290279.912663756],
-      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=687))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0b69b585-4526-4c58-92af-8884af40657e' class='xr-section-summary-in' type='checkbox'  ><label for='section-0b69b585-4526-4c58-92af-8884af40657e' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>ABSOLUTE_ORBIT_NUMBER :</span></dt><dd>14632</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>DATE :</span></dt><dd>2017-01-01</dd><dt><span>MISSION_ID :</span></dt><dd>S1A</dd><dt><span>NUMBER_SCENES :</span></dt><dd>1</dd><dt><span>ORBIT_DIRECTION :</span></dt><dd>ascending</dd><dt><span>OVR_RESAMPLING_ALG :</span></dt><dd>AVERAGE</dd><dt><span>SCENES :</span></dt><dd>S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD</dd><dt><span>SCENE_1_METADATA :</span></dt><dd>{&quot;title&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD&quot;, &quot;mission_id&quot;: &quot;S1A&quot;, &quot;sensor_operational_mode&quot;: &quot;IW&quot;, &quot;product_type&quot;: &quot;RTC&quot;, &quot;resolution_class&quot;: &quot;H&quot;, &quot;processing_level&quot;: &quot;1&quot;, &quot;polarization_mode&quot;: &quot;DV&quot;, &quot;start_time&quot;: &quot;2017-01-01T02:10:07&quot;, &quot;end_time&quot;: &quot;2017-01-01T02:10:36&quot;, &quot;absolute_orbit_number&quot;: &quot;14632&quot;, &quot;mission_data_take_id&quot;: &quot;017CAA&quot;, &quot;product_unique_identifier&quot;: &quot;D7AD&quot;, &quot;footprint&quot;: &quot;{\&quot;type\&quot;: \&quot;Polygon\&quot;, \&quot;coordinates\&quot;: [[[-126.685997, 48.378403], [-123.312981, 48.769279], [-122.919418, 47.069939], [-126.184677, 46.679924], [-126.685997, 48.378403]]]}&quot;, &quot;orbit_direction&quot;: &quot;ASC&quot;, &quot;ingested_at&quot;: &quot;2017-01-01T10:26:19.809000&quot;, &quot;size&quot;: &quot;1055004077&quot;}</dd><dt><span>SCENE_1_PRODUCT_INFO :</span></dt><dd>{&quot;id&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD&quot;, &quot;path&quot;: &quot;scenes/RTC/1/2017/1/1/IW/DV/S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD/&quot;, &quot;missionId&quot;: &quot;S1A&quot;, &quot;productType&quot;: &quot;RTC&quot;, &quot;mode&quot;: &quot;IW&quot;, &quot;polarization&quot;: &quot;DV&quot;, &quot;startTime&quot;: &quot;2017-01-01T02:10:07&quot;, &quot;stopTime&quot;: &quot;2017-01-01T02:10:36&quot;, &quot;absoluteOrbitNumber&quot;: 14632, &quot;missionDataTakeId&quot;: &quot;017CAA&quot;, &quot;productUniqueIdentifier&quot;: &quot;D7AD&quot;, &quot;sciHubIngestion&quot;: &quot;2017-01-01T10:26:19.809000Z&quot;, &quot;s3Ingestion&quot;: &quot;2020-09-25T04:17:09.201951Z&quot;, &quot;sciHubId&quot;: &quot;585da438-f982-4b76-b067-658032ceb9d9&quot;, &quot;footprint&quot;: {&quot;type&quot;: &quot;Polygon&quot;, &quot;coordinates&quot;: [[[-126.685997, 48.378403], [-123.312981, 48.769279], [-122.919418, 47.069939], [-126.184677, 46.679924], [-126.685997, 48.378403]]]}}</dd><dt><span>TILE_ID :</span></dt><dd>10UCU</dd><dt><span>VALID_PIXEL_PERCENT :</span></dt><dd>66.318</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=687))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2e0d8eea-13e3-438d-ad13-cb5ea6e58efa' class='xr-section-summary-in' type='checkbox'  ><label for='section-2e0d8eea-13e3-438d-ad13-cb5ea6e58efa' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>ABSOLUTE_ORBIT_NUMBER :</span></dt><dd>14632</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>DATE :</span></dt><dd>2017-01-01</dd><dt><span>MISSION_ID :</span></dt><dd>S1A</dd><dt><span>NUMBER_SCENES :</span></dt><dd>1</dd><dt><span>ORBIT_DIRECTION :</span></dt><dd>ascending</dd><dt><span>OVR_RESAMPLING_ALG :</span></dt><dd>AVERAGE</dd><dt><span>SCENES :</span></dt><dd>S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD</dd><dt><span>SCENE_1_METADATA :</span></dt><dd>{&quot;title&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD&quot;, &quot;mission_id&quot;: &quot;S1A&quot;, &quot;sensor_operational_mode&quot;: &quot;IW&quot;, &quot;product_type&quot;: &quot;RTC&quot;, &quot;resolution_class&quot;: &quot;H&quot;, &quot;processing_level&quot;: &quot;1&quot;, &quot;polarization_mode&quot;: &quot;DV&quot;, &quot;start_time&quot;: &quot;2017-01-01T02:10:07&quot;, &quot;end_time&quot;: &quot;2017-01-01T02:10:36&quot;, &quot;absolute_orbit_number&quot;: &quot;14632&quot;, &quot;mission_data_take_id&quot;: &quot;017CAA&quot;, &quot;product_unique_identifier&quot;: &quot;D7AD&quot;, &quot;footprint&quot;: &quot;{\&quot;type\&quot;: \&quot;Polygon\&quot;, \&quot;coordinates\&quot;: [[[-126.685997, 48.378403], [-123.312981, 48.769279], [-122.919418, 47.069939], [-126.184677, 46.679924], [-126.685997, 48.378403]]]}&quot;, &quot;orbit_direction&quot;: &quot;ASC&quot;, &quot;ingested_at&quot;: &quot;2017-01-01T10:26:19.809000&quot;, &quot;size&quot;: &quot;1055004077&quot;}</dd><dt><span>SCENE_1_PRODUCT_INFO :</span></dt><dd>{&quot;id&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD&quot;, &quot;path&quot;: &quot;scenes/RTC/1/2017/1/1/IW/DV/S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD/&quot;, &quot;missionId&quot;: &quot;S1A&quot;, &quot;productType&quot;: &quot;RTC&quot;, &quot;mode&quot;: &quot;IW&quot;, &quot;polarization&quot;: &quot;DV&quot;, &quot;startTime&quot;: &quot;2017-01-01T02:10:07&quot;, &quot;stopTime&quot;: &quot;2017-01-01T02:10:36&quot;, &quot;absoluteOrbitNumber&quot;: 14632, &quot;missionDataTakeId&quot;: &quot;017CAA&quot;, &quot;productUniqueIdentifier&quot;: &quot;D7AD&quot;, &quot;sciHubIngestion&quot;: &quot;2017-01-01T10:26:19.809000Z&quot;, &quot;s3Ingestion&quot;: &quot;2020-09-25T04:17:09.201951Z&quot;, &quot;sciHubId&quot;: &quot;585da438-f982-4b76-b067-658032ceb9d9&quot;, &quot;footprint&quot;: {&quot;type&quot;: &quot;Polygon&quot;, &quot;coordinates&quot;: [[[-126.685997, 48.378403], [-123.312981, 48.769279], [-122.919418, 47.069939], [-126.184677, 46.679924], [-126.685997, 48.378403]]]}}</dd><dt><span>TILE_ID :</span></dt><dd>10UCU</dd><dt><span>VALID_PIXEL_PERCENT :</span></dt><dd>66.318</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>The <code class="docutils literal notranslate"><span class="pre">spatial_ref</span></code> coordinate is added by rioxarray to store standardized geospatial Coordinate Reference System (CRS) information. We can access that information and additional methods via the <code class="docutils literal notranslate"><span class="pre">.rio</span></code> accessor:</p>
 <div class="cell docutils container">
@@ -2026,14 +2109,14 @@ <h2>Rioxarray via the backend entrypoint<a class="headerlink" href="#rioxarray-v
     SCENE_1_METADATA:       {&quot;title&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170...
     SCENE_1_PRODUCT_INFO:   {&quot;id&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170101...
     TILE_ID:                10UCU
-    VALID_PIXEL_PERCENT:    66.318</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'band_data'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 1</li><li><span class='xr-has-index'>y</span>: 548</li><li><span class='xr-has-index'>x</span>: 820</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-23e4357e-4e72-4435-9985-1ee59169f6bc' class='xr-array-in' type='checkbox' checked><label for='section-23e4357e-4e72-4435-9985-1ee59169f6bc' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],
+    VALID_PIXEL_PERCENT:    66.318</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'band_data'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>band</span>: 1</li><li><span class='xr-has-index'>y</span>: 548</li><li><span class='xr-has-index'>x</span>: 820</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7cc13902-6508-433e-bd8f-b74bef41bd8c' class='xr-array-in' type='checkbox' checked><label for='section-7cc13902-6508-433e-bd8f-b74bef41bd8c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
         ...,
         [nan, nan, nan, ..., nan, nan, nan],
         [nan, nan, nan, ..., nan, nan, nan],
-        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7b6dbe04-6bdf-40d4-893a-c7e73b419c3c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7b6dbe04-6bdf-40d4-893a-c7e73b419c3c' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-125.7 -125.7 ... -124.2 -124.2</div><input id='attrs-33555818-1d92-460f-9f12-cf1d0ed7cfed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33555818-1d92-460f-9f12-cf1d0ed7cfed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e9823d3-1ed7-48a5-bed3-1dbf72aaa88b' class='xr-var-data-in' type='checkbox'><label for='data-7e9823d3-1ed7-48a5-bed3-1dbf72aaa88b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-125.718435, -125.716587, -125.714739, ..., -124.208749, -124.206902,
-       -124.205054])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>48.75 48.74 48.74 ... 47.74 47.73</div><input id='attrs-bb4021af-ffae-4de7-bfeb-b0577a7390e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb4021af-ffae-4de7-bfeb-b0577a7390e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dccde65-9d89-4e20-baa0-950104ce16ce' class='xr-var-data-in' type='checkbox'><label for='data-6dccde65-9d89-4e20-baa0-950104ce16ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([48.745557, 48.743709, 48.741861, ..., 47.738484, 47.736636, 47.734788])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-36b2c6ed-d0b7-48f3-9637-b9659760ec90' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36b2c6ed-d0b7-48f3-9637-b9659760ec90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b603cdc-1d0d-4fa0-8d33-a51ba3aa7cc5' class='xr-var-data-in' type='checkbox'><label for='data-4b603cdc-1d0d-4fa0-8d33-a51ba3aa7cc5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-f97060f7-2c21-49a2-8c4e-35b6b4186bdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f97060f7-2c21-49a2-8c4e-35b6b4186bdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-454681fe-8e41-4278-a7f9-26fea9183851' class='xr-var-data-in' type='checkbox'><label for='data-454681fe-8e41-4278-a7f9-26fea9183851' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-125.71935849521532 0.0018478397693162452 0.0 48.74648044425331 0.0 -0.0018478397693162452</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45e0ca7f-25ca-48e0-9370-ca00ad412b12' class='xr-section-summary-in' type='checkbox'  ><label for='section-45e0ca7f-25ca-48e0-9370-ca00ad412b12' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ed646a76-6e82-493e-a260-90c69b508317' class='xr-index-data-in' type='checkbox'/><label for='index-ed646a76-6e82-493e-a260-90c69b508317' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-125.71843457533066, -125.71658673556135, -125.71473889579202,
+        [nan, nan, nan, ..., nan, nan, nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-a803f895-f7bd-4af2-9cb7-08bf9ec03399' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a803f895-f7bd-4af2-9cb7-08bf9ec03399' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-125.7 -125.7 ... -124.2 -124.2</div><input id='attrs-9778ae4f-8fdb-4300-9009-b42bd8d84b85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9778ae4f-8fdb-4300-9009-b42bd8d84b85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2771f02b-04f2-419a-b1d9-e808cfe4a1ce' class='xr-var-data-in' type='checkbox'><label for='data-2771f02b-04f2-419a-b1d9-e808cfe4a1ce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-125.718435, -125.716587, -125.714739, ..., -124.208749, -124.206902,
+       -124.205054])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>48.75 48.74 48.74 ... 47.74 47.73</div><input id='attrs-55b9de19-46d2-4565-b017-ac0c2911c668' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55b9de19-46d2-4565-b017-ac0c2911c668' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8274336c-8df5-4d05-9c57-fe69b083925e' class='xr-var-data-in' type='checkbox'><label for='data-8274336c-8df5-4d05-9c57-fe69b083925e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([48.745557, 48.743709, 48.741861, ..., 47.738484, 47.736636, 47.734788])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>band</span></div><div class='xr-var-dims'>(band)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1</div><input id='attrs-30703e68-71af-4d69-a4e5-f0154f616270' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-30703e68-71af-4d69-a4e5-f0154f616270' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ed4278d-0115-4e5e-b409-f7043a189197' class='xr-var-data-in' type='checkbox'><label for='data-8ed4278d-0115-4e5e-b409-f7043a189197' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-510f8fc0-fe2c-4e9c-ad2c-ed4f8c7f417a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-510f8fc0-fe2c-4e9c-ad2c-ed4f8c7f417a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa50d3d6-f6e1-4cfe-a849-04689c84f873' class='xr-var-data-in' type='checkbox'><label for='data-aa50d3d6-f6e1-4cfe-a849-04689c84f873' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;WGS 84&quot;,DATUM[&quot;WGS_1984&quot;,SPHEROID[&quot;WGS 84&quot;,6378137,298.257223563,AUTHORITY[&quot;EPSG&quot;,&quot;7030&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6326&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4326&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-125.71935849521532 0.0018478397693162452 0.0 48.74648044425331 0.0 -0.0018478397693162452</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-88a52626-94ce-47dc-a8c6-4e00a98b19fe' class='xr-section-summary-in' type='checkbox'  ><label for='section-88a52626-94ce-47dc-a8c6-4e00a98b19fe' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e133c9bd-f7a6-4254-abc5-26cc1b82564d' class='xr-index-data-in' type='checkbox'/><label for='index-e133c9bd-f7a6-4254-abc5-26cc1b82564d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-125.71843457533066, -125.71658673556135, -125.71473889579202,
        -125.71289105602271,  -125.7110432162534, -125.70919537648408,
        -125.70734753671476, -125.70549969694545, -125.70365185717613,
        -125.70180401740681,
@@ -2042,7 +2125,7 @@ <h2>Rioxarray via the backend entrypoint<a class="headerlink" href="#rioxarray-v
        -124.21614084287656, -124.21429300310724, -124.21244516333792,
         -124.2105973235686,  -124.2087494837993, -124.20690164402997,
        -124.20505380426066],
-      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=820))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2b9bc699-32cd-425a-9959-c2c04e49b7f1' class='xr-index-data-in' type='checkbox'/><label for='index-2b9bc699-32cd-425a-9959-c2c04e49b7f1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 48.74555652436865,  48.74370868459933,  48.74186084483002,
+      dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=820))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d3ff74cb-9a04-45c9-a8a9-a820f9b1360e' class='xr-index-data-in' type='checkbox'/><label for='index-d3ff74cb-9a04-45c9-a8a9-a820f9b1360e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 48.74555652436865,  48.74370868459933,  48.74186084483002,
          48.7400130050607, 48.738165165291385,  48.73631732552207,
        48.734469485752754, 48.732621645983436, 48.730773806214124,
        48.728925966444805,
@@ -2051,7 +2134,7 @@ <h2>Rioxarray via the backend entrypoint<a class="headerlink" href="#rioxarray-v
         47.74587520916857,  47.74402736939925,  47.74217952962993,
         47.74033168986062,   47.7384838500913,  47.73663601032198,
         47.73478817055267],
-      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=548))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-933e8c94-01c6-4e14-a37b-898fc510b6d6' class='xr-index-data-in' type='checkbox'/><label for='index-933e8c94-01c6-4e14-a37b-898fc510b6d6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1], dtype=&#x27;int64&#x27;, name=&#x27;band&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-49efa473-4858-4635-9d34-fa43073ed130' class='xr-section-summary-in' type='checkbox'  ><label for='section-49efa473-4858-4635-9d34-fa43073ed130' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>ABSOLUTE_ORBIT_NUMBER :</span></dt><dd>14632</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>DATE :</span></dt><dd>2017-01-01</dd><dt><span>MISSION_ID :</span></dt><dd>S1A</dd><dt><span>NUMBER_SCENES :</span></dt><dd>1</dd><dt><span>ORBIT_DIRECTION :</span></dt><dd>ascending</dd><dt><span>OVR_RESAMPLING_ALG :</span></dt><dd>AVERAGE</dd><dt><span>SCENES :</span></dt><dd>S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD</dd><dt><span>SCENE_1_METADATA :</span></dt><dd>{&quot;title&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD&quot;, &quot;mission_id&quot;: &quot;S1A&quot;, &quot;sensor_operational_mode&quot;: &quot;IW&quot;, &quot;product_type&quot;: &quot;RTC&quot;, &quot;resolution_class&quot;: &quot;H&quot;, &quot;processing_level&quot;: &quot;1&quot;, &quot;polarization_mode&quot;: &quot;DV&quot;, &quot;start_time&quot;: &quot;2017-01-01T02:10:07&quot;, &quot;end_time&quot;: &quot;2017-01-01T02:10:36&quot;, &quot;absolute_orbit_number&quot;: &quot;14632&quot;, &quot;mission_data_take_id&quot;: &quot;017CAA&quot;, &quot;product_unique_identifier&quot;: &quot;D7AD&quot;, &quot;footprint&quot;: &quot;{\&quot;type\&quot;: \&quot;Polygon\&quot;, \&quot;coordinates\&quot;: [[[-126.685997, 48.378403], [-123.312981, 48.769279], [-122.919418, 47.069939], [-126.184677, 46.679924], [-126.685997, 48.378403]]]}&quot;, &quot;orbit_direction&quot;: &quot;ASC&quot;, &quot;ingested_at&quot;: &quot;2017-01-01T10:26:19.809000&quot;, &quot;size&quot;: &quot;1055004077&quot;}</dd><dt><span>SCENE_1_PRODUCT_INFO :</span></dt><dd>{&quot;id&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD&quot;, &quot;path&quot;: &quot;scenes/RTC/1/2017/1/1/IW/DV/S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD/&quot;, &quot;missionId&quot;: &quot;S1A&quot;, &quot;productType&quot;: &quot;RTC&quot;, &quot;mode&quot;: &quot;IW&quot;, &quot;polarization&quot;: &quot;DV&quot;, &quot;startTime&quot;: &quot;2017-01-01T02:10:07&quot;, &quot;stopTime&quot;: &quot;2017-01-01T02:10:36&quot;, &quot;absoluteOrbitNumber&quot;: 14632, &quot;missionDataTakeId&quot;: &quot;017CAA&quot;, &quot;productUniqueIdentifier&quot;: &quot;D7AD&quot;, &quot;sciHubIngestion&quot;: &quot;2017-01-01T10:26:19.809000Z&quot;, &quot;s3Ingestion&quot;: &quot;2020-09-25T04:17:09.201951Z&quot;, &quot;sciHubId&quot;: &quot;585da438-f982-4b76-b067-658032ceb9d9&quot;, &quot;footprint&quot;: {&quot;type&quot;: &quot;Polygon&quot;, &quot;coordinates&quot;: [[[-126.685997, 48.378403], [-123.312981, 48.769279], [-122.919418, 47.069939], [-126.184677, 46.679924], [-126.685997, 48.378403]]]}}</dd><dt><span>TILE_ID :</span></dt><dd>10UCU</dd><dt><span>VALID_PIXEL_PERCENT :</span></dt><dd>66.318</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float64&#x27;, name=&#x27;y&#x27;, length=548))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>band</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-78667775-a6b7-4d98-9718-a7c869eb90fe' class='xr-index-data-in' type='checkbox'/><label for='index-78667775-a6b7-4d98-9718-a7c869eb90fe' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1], dtype=&#x27;int64&#x27;, name=&#x27;band&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e66b731f-c725-4968-ae16-0a64ed88290e' class='xr-section-summary-in' type='checkbox'  ><label for='section-e66b731f-c725-4968-ae16-0a64ed88290e' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>ABSOLUTE_ORBIT_NUMBER :</span></dt><dd>14632</dd><dt><span>AREA_OR_POINT :</span></dt><dd>Area</dd><dt><span>DATE :</span></dt><dd>2017-01-01</dd><dt><span>MISSION_ID :</span></dt><dd>S1A</dd><dt><span>NUMBER_SCENES :</span></dt><dd>1</dd><dt><span>ORBIT_DIRECTION :</span></dt><dd>ascending</dd><dt><span>OVR_RESAMPLING_ALG :</span></dt><dd>AVERAGE</dd><dt><span>SCENES :</span></dt><dd>S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD</dd><dt><span>SCENE_1_METADATA :</span></dt><dd>{&quot;title&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD&quot;, &quot;mission_id&quot;: &quot;S1A&quot;, &quot;sensor_operational_mode&quot;: &quot;IW&quot;, &quot;product_type&quot;: &quot;RTC&quot;, &quot;resolution_class&quot;: &quot;H&quot;, &quot;processing_level&quot;: &quot;1&quot;, &quot;polarization_mode&quot;: &quot;DV&quot;, &quot;start_time&quot;: &quot;2017-01-01T02:10:07&quot;, &quot;end_time&quot;: &quot;2017-01-01T02:10:36&quot;, &quot;absolute_orbit_number&quot;: &quot;14632&quot;, &quot;mission_data_take_id&quot;: &quot;017CAA&quot;, &quot;product_unique_identifier&quot;: &quot;D7AD&quot;, &quot;footprint&quot;: &quot;{\&quot;type\&quot;: \&quot;Polygon\&quot;, \&quot;coordinates\&quot;: [[[-126.685997, 48.378403], [-123.312981, 48.769279], [-122.919418, 47.069939], [-126.184677, 46.679924], [-126.685997, 48.378403]]]}&quot;, &quot;orbit_direction&quot;: &quot;ASC&quot;, &quot;ingested_at&quot;: &quot;2017-01-01T10:26:19.809000&quot;, &quot;size&quot;: &quot;1055004077&quot;}</dd><dt><span>SCENE_1_PRODUCT_INFO :</span></dt><dd>{&quot;id&quot;: &quot;S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD&quot;, &quot;path&quot;: &quot;scenes/RTC/1/2017/1/1/IW/DV/S1A_IW_GRDH_1SDV_20170101T021007_20170101T021036_014632_017CAA_D7AD/&quot;, &quot;missionId&quot;: &quot;S1A&quot;, &quot;productType&quot;: &quot;RTC&quot;, &quot;mode&quot;: &quot;IW&quot;, &quot;polarization&quot;: &quot;DV&quot;, &quot;startTime&quot;: &quot;2017-01-01T02:10:07&quot;, &quot;stopTime&quot;: &quot;2017-01-01T02:10:36&quot;, &quot;absoluteOrbitNumber&quot;: 14632, &quot;missionDataTakeId&quot;: &quot;017CAA&quot;, &quot;productUniqueIdentifier&quot;: &quot;D7AD&quot;, &quot;sciHubIngestion&quot;: &quot;2017-01-01T10:26:19.809000Z&quot;, &quot;s3Ingestion&quot;: &quot;2020-09-25T04:17:09.201951Z&quot;, &quot;sciHubId&quot;: &quot;585da438-f982-4b76-b067-658032ceb9d9&quot;, &quot;footprint&quot;: {&quot;type&quot;: &quot;Polygon&quot;, &quot;coordinates&quot;: [[[-126.685997, 48.378403], [-123.312981, 48.769279], [-122.919418, 47.069939], [-126.184677, 46.679924], [-126.685997, 48.378403]]]}}</dd><dt><span>TILE_ID :</span></dt><dd>10UCU</dd><dt><span>VALID_PIXEL_PERCENT :</span></dt><dd>66.318</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Note that that the size of the data has changed as well as the coordinate values. This is typical of reprojection, as your data must be resampled and often interpolated to match the new CRS grid! A quick plot will compare the results of our reprojected data:</p>
 <div class="cell docutils container">
@@ -2070,18 +2153,17 @@ <h2>Rioxarray via the backend entrypoint<a class="headerlink" href="#rioxarray-v
 </div>
 </div>
 <div class="cell_output docutils container">
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-  <div id="cd2c239e-ef74-4804-b8f3-d50766388ec3" data-root-id="p1162" style="display: contents;"></div>
+<div class="output text_html"><div id='p1074'>
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AAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6++fT3FgT09T1Y/PZ0QTz3d0UI9m206PfoANz23Vzo9nahAPY6GPj2qBTc9aaQ7Pe9YSD3liUI920E8PY5nMj0kizw9RntFPVNMWz3rwV49RGNNPUMhOz1JbkM9g11LPV3xXj1jUFU91hFDPSJIPz37Ykk9e9NIPTSgTD0851E90c9MPcV1Kz0/Wik9U849PfjiQz04GTg9lB1YPecZUz1nTT89uqJCPTW0OT05LTM9T/IrPaKdJj0fwCo9lAMtPSwyNj2mLE09Qb1JPbW5Mz29pCw98Bo+Pe4tUz0rsE89oCZFPZ38Rz3+gGc9RwBvPUeIVD1AU0U9RQkwPSgKMz22MUU9ooRUPZbeRT0X1zg91O1FPadIST3jAU09kCVBPdX7Nz1+b1Q9gLpWPQaNTD0KJ0Y9Ho5EPYMdRD3u6Uk9krRMPTIFQz0qVTU9hzcePQ0DKj1b6yk9siwzPSYTRj0Tbz09Mfo8PQrWSD35qUw9zlFVPXNuQT1nQEE9YgNEPaUgUj3FoVM9bsJRPaYGVj1PxUU9ndA5PV1DNz1fQCw9BLEhPeVuHz2sUSk9UvUoPRhBLj397Eg9u3RVPXg3PD2UeEE94gVcPRYcbz1V0ls9QMJCPQNrNj2sWTc9CTs2PR2RIj2cvSk9e+czPXJTJT2IVis9DjhDPUvTSj0hJGA9/eJ0PSxzWT3PJVI9fglYPeXXPD11eUA9cXBdPcATaT3ze189m1FRPS2cRj3770Y95+lVPQgqUT28GWA9EQ9aPXMCVT2L/mU9aQFyPSIjWD2IJEQ9mFRGPZjDUz12AUg9IYA7PQPDTT3Ng0U9KJ5VPRJ9Vj3ebmA94a5jPTLjaD3TK3g9rt18PTJKgz0IzIM9hP93PRxRYD2DQ1g9CIZZPSFSWj0ysXA9uz5mPTfZbT3kt2Y9C3NaPc+WfT27i2497SBqPVp2ez3N22I9U/loPYwfWj3SHl09KQZsPdfmcz1a4Ww9ZPRRPYGraj3oH2U9Q5hSPT57VT1l81U92FxUPclNRD2jaEQ9Usk3PfVLPz0Tl009S45OPaTPQz1qU1s9NeZkPU46TD2CdjQ9Mwk5Pa5UQT0nfEE9GzxEPWKwRj08WjY9bZErPSauMj0zu0c9shNGPSkRST1eiWE91kRdPYh/Uj2fD1A9whJWPe5xZj0fal89G5ddPVfwYD3XBV09W8pkPX1Dbz0I/Xc9PLV9PSbacD39Vmk9fIxmPbABXT3zYVY9DzxrPUcQhD0ByHI9PLVYPZBSST3fukY98RFNPb8pUT3O5m89ag9zPdRgXT3vL1I9iIpbPcRURT1c+wg9VnPNPMQkvjwbjQg96xxmPRO9pz2azms9oyDwPF3l1zxyXxI9Wq36PV2DaT7ezlg+R11SPo0ZRj4WSUE+CFQxPhAGLD7xQTc+w1A2Pm/NPj5+9DM+GpMuPtlvMz4aRz4+iBRCPktPNj4Fjjc+9a00PrWWRT70sUM+QVFCPoeOQz5EMjs+nw0yPshHRD7gZkA+OL41PsGkKj4bszI+Du02PghlND6+Ly4+FwY8PhK3Mj4GBC8+2IM8PtBfLj7X3zE+PVM5PjD3ND6MHTE+Zf9DPldqbz61nUw+Xi84PoDTRD4O1kg+mKw9PkuQLD6zdic+uP1HPgLNTT7mnEw+H40tPrC4Lj4oRjA+ZZUrPj/UNz70yEA+xcU6PgESPz5nmUI+u08QPgsT+j31yQo+jHsmPhxhPD7VzCQ+ZRIzPiLFQD4uDEg+Ybs9PoXqMj7LEzc+g0lJPiXwYD5v5DI+US5KPqFPUD7bukY+zeBMPjmJRj6zyUY+uuZDPvYmMT6mzzw+scVTPkopWT7+sUo+zF05Pkv8TD6QZEo+MspAPsmRVj71lZg+0WLMPp+XiT77gEg+nEA5PnTqLD6UNSY+nO01Pg/oOT7k9Cs+EV83Pv8vLT57uxk+EXUpPkcYMz6ChDM+p84qPvWhKD7QGSo+xfRBPhMtOT4aEEU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4k7tz3Ufk89hZBKPUuRQT1X3TQ9/24zPfpYNT2DxEA9uEY0PXMaOD2JqU095rdePTHoUD1W8k89pOVBPWY4QD39ty49uM86PbOdUD1atkY9hYVCPY8JST04Flk9b35rPWG/Vj0WNzQ94VYyPfJyRD0x+Vc9IFxKPWTBOT1CMjo9+kE0PXeLLz3CPjc94ilCPTHgPj3/yjY9OeQ6PZnFPD3fbDg9Rcg0PdBlIz3RbRU9XKIdPfCDLD2OqDA9FAQkPVqGLD3RdiA9qpEbPajZKD1r4zQ9ycg+PQ36RT1a2T09vuUxPYNjKT3iBTw9QHNDPRToJj0GZyY9DRs7PRxjPj2ZD0U9xLY7PdHmOj15S1E9zDdmPf41XT1JF109vZ5aPdV8Tz3NR0U9cA9SPZNoQj3bWj49WqU8PSd6PT1Eejc91sIjPaK5Jz1tZi09dXgpPQlcJj2EvCw9LoE/PZdkVT3ypEs9qZMtPd9FIz1h9SE9MJIjPXA2Mz3o8z49W/g9PUxqST0/q1M9Ky13PSptfz0+KWc9S8RFPcoWNT2EqR49C7EfPTF5Ij1V+i89DIU5PZQkTj0iLk89tHZDPY23Rz3c/049IB5MPT2DPz0lgzE93isoPX+RHz2V6ig9j0syPX2hLj10CSg9NOU1PciSMD1qcT09qXJPPQe9ZT2U9XU9IPFqPRNUZT0Nnlo9TcZMPaS8Sj1WW0Y9ocJUPc4NXT0Y8ks9eV0/PZTrPD0H/T09WLZnPfVIZD1kv2w95D1qPYI/dD3Td4A9KNt/PZhnZD0yIVQ9gW5aPV0bTT3GrDQ9ysUxPa0ARj1qp009mwNZPZzGYz36/Gs9OR94PfXbgj3VwoM9Z0ZtPWRWWj1Ax149CCBfPRhaXz32il89GSFcPV4xYD1WSGw9EodwPSGBdz0tW209oA9aPc+RZT2hxYE9yjyBPcYLcz0eVWk94k10PZ1YbT39uWU9rbdlPSjYYz3k0lE9nIFKPVoVTD0O4EY9LgdOPUNdaD3tY2Q9sRNQPYKsOT2kUTY9A3U7PRcxQT0Pr0A9octTPe8rVz2uZ0o9nvBQPWjOUT18/Dw95wVBPTcOTj0ejFo9bNJNPfsiOD2AuzM9uKs1PQtLTz2BkUs9qFBEPeyGRj2Nl0s90tdvPUy7dT3SznM9UmtpPUDGXz3WTFo9PfNRPXtaXD30v2E9XDVmPeCzeD3bfmY9ybVWPR0DbD1ah4E9s0R2Pc+eZj3vKU09SkVUPW+NTT3S1zo9+Wg3PezuND3pcD09hxpAPRwLTz3bUk09ucE7PUYAiD0egt89eY8LPvOZOT7gli8+ln4DPsuiwT0Bbvk9jk4dPoXAWj46qUk+VLIZPkWn/z2LdT0+EfhoPulISz6TSzw+c2Y+PpefNj4phjM+sIQ3Psn0Mj7WHkg+gspSPvu5Qj6cXz8+h+0wPtZ7NT4qizo+PjI1PocNMj4HwS4+0UgnPrQTMT6Qszk+Lp8iPrqMID74pTI+1jg1PlwsYj7O7mM+64xGPgRzbz4s94E+9QpNPuBFHD7x0BE+ljEiPpF+Ij4yODk+04ZYPmEnPj6SSTQ+hV0xPv6hPD7TfRA+P1IYPvU+OT4E0jY+lYY4PteNdj4pqVs+QCYoPmiiKj5DXSM+8qAnPsYAMj7tJzs+l44/PnDGWj6MdUo+Bo1MPhPBWz6QAUo+RpAxPrQgPz51gj0+hHYAPvXaEz7KpyU+4X0SPqKwGT60bu49l10pPufaVT7fVUg+idQ6PnYMPD7tYzw+HURIPv9fSD5ORUo+mflNPp5aQj5zU0k+YQs/PjG/Qz7is0c+vKFBPlnrWz5DTEo+D0QvPlR5Nj6zWEQ+whIvPu6dSj7Hx2g+oo9TPkR4aT7Wfbc+fcK0Pkgbcj6IZmc+aulIPtIFST5UunE+kA5GPiR2MD4kfSg+BN8lPpmZLD4a3iU+0BY4Ps8qKD6ZRxo+OjcRPjUKFz5AzBY+3/0yPtJoLD6sWTE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2pEsT1VvFQ9rTIxPTDDLT2uGTc9u8lIPb/TQz0G2TM9/3c4PQP8PD37HUI9peVTPXHeXj0sIWE9f29CPaoYLD3juUM93EBRPdfqNz3QozU92PpHPSX2TD0pkUg9Lrg5PfKlNz3m4Tw9kOZJPUpGYz1Q3lQ95VE8PRd5Lj3IMCs9Rsw1PcktMD3dTTI92nkcPagCIj02+iM9NBQtPeI2JT3iLys9UGk1PeQKND3PWDI9jawxPUWLIT220B49b60nPQDeJj3WLB49a2oaPac0KD28fUg9BCg7PW9qHz3lOBw9Hp8gPRbyLT3y7jM9y4UzPX6cLD0+sD89o9FOPSIhOj0ycE09QtxSPebtVj2vtWk9Elh4Pf56Yz2txUs9nHE2PTUpPD1gYT09w0I7PRTIMD0gZiU9yFgwPT8DMj314yM9/X0lPa6tQD0hzS89TkorPUWyIj2fIC89Ppo7PRMvRD0Z2yk9Q18qPaG3LT1nSC49zVI6PR9PSD28qU49OWVOPRCPUD3fD2I9R6toPaNLTz2M+Ts9jr81PQN8Mz3+Uig9UYglPez5Lz1hDzY9uMA/PaCfZT025Xg9xe5lPYZMQT3Qlj49FUdAPfl6Kj2eCSE9sRYlPX1ILT3Y3jE9xto9PRFxQj2RxEM9I+s5PWKLMD0znlM9NaN1PUI9dj3j32s9xGhiPfLrcj2HElY90VhPPRePRj2lBVI927N2PSbgWD0ejUY9NOdSPYLKST1YzlA9f8plPR97Yj1GOng9iwmCPZuTZj2+4Fw9A69ePcbmUT2MdlM9WaBIPeuBSz2yslA9s5tLPXLOUD1VWFY9/IpVPcZgWz2ZxV49UPldPT0YVD0bcVg9KClTPWtZUj2PJWQ9k41zPVCMej1IwW89aQh5PWxyZj0XkWY9uM52PTVMgD0l8mo9M7J7PW7ohT0Brnc9UFB/PfSrZz0up2k9oatqPQQyVj0RGlc9AQ1YPQv5ST2F2VQ954JSPRCqVT0LZVw9OCVMPYB4Qj1zjUA9XVMxPQP4OD0Jdj49pBM+PcuqPT3Lxk09uWVSPR3WXj2irWM9uTtlPcTIYT1MglI9p3JBPd4kQD3/4Tc9IPA1PZi4Oz1efDo9midDPUIoRD2w/jk9fa0+PZRdVj2g3lo9DO5kPUHdcj16VWA9FgBTPaNPTj3vQl09M7tjPVgaZz3s9Vw9jLtrPbn1bz3ArG89cR15PQz/cj2KRGw924lhPXuHTD3gezw9TT85PXFQNz3IMjU9d0E7PeCFLT1YFDQ9sQA2PZ86MT1uJzI91Y4oPS4sfD2+DOk9T2EqPsR5ST7nnVk+Rjd1Pkh0Yz6P6VU+ScU6PhfaKz5anCg+tqYuPsTxMT5Pcic+k9QwPgvQLD40yC4+w2I0PuZ0Jj4rPTQ+WFc5Pt8iRD715Fc++1yPPt2IfD7M6l8+8Ec+PrJ7ID5wdDE+0wo4PtyqMz4gpDQ+WAQmPuErJT7nCCs+M9smPr3ZYD57QzM+Z8dwPvP4gT6abFU+wO58Ptd3gT5A8FI+nS5LPs0xND6EiCY+/x40PmDEOz5m50Y+089cPjNIND7QDkk+udI+Pvg4PT7Q/i8+049MPre5TT6I9UA+ixBCPqhySD5PnDg+VB0tPsYCQT5BdzY+UeIwPmhhOj6yWy8+H/A1Puj8Oz6Z9TI++7IqPr5ZRz5kZVo+Iv0qPp1yOz4b5k0+tbpEPn8OHj5e8Ps9wEYTPupKJD5lOwo+J40JPsLPMD53JzE+y44lPkqELj6tJzg+Q8YyPj8mPT7tu0c+4WU2PpcgVj5ttTE+Wnk5Pqv5aj5rIFQ+DutHPijKNj5fsCc+JvRNPqfaUz6lvjE+TrojPnwNVT48/Fs+ptU4PqrfOz4mymk+wWpuPpMLXT45o0Y+kplNPvlSgj7MJKA+DVNfPmf3Vz5BKzc+7dJpPh7gaD5Vqks+K6hMPqmbMD5zejo+wfNAPsbxFj7l2BY+iQo8PizRLT5xky4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwY/+T0J02k9hGQxPaZ3MT1f3Dg9iUY+PQceQz19/jk975hAPQu1Uz0CCnY9c35wPUoXUz09jGM9+3dcPT6KWz1nBkI9gFU7PS8xQj3qGFM9betRPVHmPz3+sjk9PKxCPcntTj0/zmM9yuFXPTlyQT3ivC49CxMyPa7tLj3xEi09pn4pPV0sJD15LiU9tx0cPXqXIj35nis9i+E2PTkuOD2bcEY9nV9EPS+0SD3tNDI9kGkfPU6ZGT258is9iN41PbrHKj2URC49IyMpPQLHLT3PFjM9V5oePZlPET3xLiA9z5gkPeOsRT3ZhFI9ePdPPU6ERj1A2lQ9mEpfPbs+cT1BYGk9kcFHPXM2Pj18A0s9ImpLPY1aRT1Nqi89JwojPeLfHj3aQSY9cjsjPVV9Hz2T5iM9k70uPSsVPD0oaj89Mi88Pe5/OD2JFyY9zJYcPXCbIT0tpSw9NwowPZ2FOj1tx0I9utw2PcqUOT1yyUc9eSZSPUqUTz2WAFA9V6dZPQSsVz0NLFE9uQdRPbcbST3pdUQ9la5LPaPtLz271ho9aGYrPbsjQz1/FEo98NNpPXVngz00p3Q9n0FIPXdlPj31KkQ90C8xPfbjKz04ZzA9LPcvPRxNPT20uUo9PoJNPVVPWD22AFk9PrA/PfozUz1CSHc9poeAPdexfD1sKGA9u4pIPdtPPj3o2jc9JAlAPVHpQj1fTks9qpFcPSRQUj2uWVE9mlhYPSW7YD0KpXQ9vkt9PVznez1SsIc9ZCh+PcVUYz0ylVY9kYZKPTqbXj3aSmc9JOxkPeqxYj2WM1w9wNpVPcJ2Vj328089l71EPXuRTD1hRFU96hlNPc7DYD2I0l891r9jPTWZcT3SGog9Q/SHPRw/gj2cLGo9/w9oPQWIZj1VUXI9net7PT5KgT0vJYQ9TAyFPVh+iD0sfH09wWVnPTRrYD2lX1Q9C5BMPXHNTj3KnUw9gZ9ePRidXj0Jolw9y1ZdPQERYj0Bt0Y9q/M4Pd3CQz0/mkQ9DIBMPTRxUj0rXFQ9rUlIPXNnQT3rVkk9QnFMPTgdUD0VS1Q9SzBJPXVlQj1Xojo9P7U5Pcf0RD0r4T89eupLPfj8UT3alkc9e9xKPYwgTT2C8lk9X8tePQ7CaD3VU2o9rWxjPdguXz2UNEw96O5GPfs6UT3MaFw9qFlpPSJ/Yz2ouFc9FYNiPWxqej1U73k9Z6Z8PQkOej0j/Fo9SDpIPUTBuT1y0OU91tU5Pa2pKz1qOjE93HI2PZLSKT0XxSw9TI0oPaVIKj3PYyA9imoaPZ0GGj10wh09p55DPWTcyz3W7EU+fVN7PjFFaj7Fmjo+JQ4qPndZIz6B5B8+ffoePvlXKD6kPCg+ZtorPiJVKz7RtTA+F6A7Pp6gTD48F1s+0MU2PmQ3Oj6UEHI+Ad12PtNicj7kF24+O1pPPor8Uz5CsF4+2QEyPmnRNz62ljs+/Jw1PkMuPD5hnT8+jhcvPmLjGz7Hsx4+05GAPnlxej6EiYk+MCmaPszmij7B4Gg+7C2BPk1lQj7CySI+FyBAPuQqQD7nW00+06R+PtfQPj7zgEg+cthBPkBwLz46pz8+oW8/PoVuLT5D8UY+A3psPmmdaj7Nm3c+nTmCPrRYhz4whHg+wQoxPt8/QD5rvkc+QOszPkpJQT5YjlI+lDlAPnCPLj6HiUE+RCN2Pua6YD4yQUQ+9PpKPiBmST7kYDc+SKIePtVlBD4zQhk+Za8tPnEyLj6udSA+7cEXPu/iHD4EvRg+mhMiPh9zKz6MJXs+CixSPhk1Rj4vyB0+HDIOPrQIhz7CpWY+Eu9PPjUsQz6DhjM+AdNUPtcrUD76OkU+hAw4PjZoPz6E8Ds+EmI1PstNNj5hnko+APYyPiIKLD7hRDY+LLxXPkLDRj4MRUE+hitcPi7JZj54rEg+XSRUPhL1cz6DzHo+HzxVPiPYOT4M5jk++ahBPjS6NT6gGSI+WI42PrbaOT6/1jA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8xrlD3anUc9SfQ0PSwnST2rskw90NpJPcC7Vz05ulE9dRVEPRVzQD1tvkQ9GTBJPQhPWD10xVw9kBxNPfBaRD0Ezio9oD46PaEXSz0aCj49EoIvPamYPj3G40Y9W/lbPUELVz3NO0c9oFAyPUg1Hj2jiys9zPQvPa7RLz0OOSw9SKMkPb96KD1lMDo9MXY/PYDfRj3grzc9c3E5PbdaND3wkC09ILcwPUN5Nj3jkyw9KHIsPWS1Nj0UqCk9PlwuPSXdPT358jk9gmouPcs0Kz1WeCg9+as1PdWGOD1f6DI9MpE0PWgjRz2C7lM9H4hLPaLmRD2QLGY9OlpsPSOnVT0ws0Y9hc8lPboIHD3T/iA9wck4PUOeUj3Mv0M9N30kPST5Gz0CYxs9H0kgPYM3Jj239i09NTQwPWx+PD2ueEM9X48/Pa5WRD3d4Cc9wFsdPTUoLT3nBS09HvVFPS/tSD13ZTo949xEPTIuYD2ln14981ZgPWs8UT0Y0Ec9V+4+PRx6NT2fyDQ9ZB4zPR1IMz0Cljg9jWIvPU/7LT0gdzw9weNKPaA/WT21pGM9OUxpPb4PUT0NCUg95jVJPZ1cST29/Tw942wyPdM1Oz18A0E9tvRFPVcBUj3G9Gw9+7luPUsWaj27lmM9jstyPTMLaz2N7VM93RJHPXPSWD3SAGI9zodEPdMmJz0SUy09YfM/Pd7jQj2vHVE97l1ZPVhkXD2Dym49VLmOPUT1ij0lcn89hayCPd1lZj3B81Q9uO9SPaXvVj3zuEs9xZRLPWBtST1oT0s9FWtBPTFSUT2evGQ9n4BdPd4zXj3FUEg9oQVgPYpYcD2vcWk9nydqPRYVcz39E3s9OJxyPXsEaz2FB2E9VsZfPfWOZT0Ayl098hdlPYplcD0Nk3Y9U1x6Paamgz3s4Hk9Fo5OPZMART167EI98J9BPUkrRj11lUo9GrRlPeptZT3dBmo9qp9pPYWZUz0TM009nuVPPbaNRj1gLVQ94QtZPZUzTj15VVU99HNZPdSRVT0YcFY9lUFFPa26Mz1/ykU92ttOPTI1PT3ENzI9rn8pPa0dND0rX0g9at9RPQN5ZT1kQFQ9JB5PPW5XSD3pU1M9JP1TPYUrXj3xPl09rX9UPZ4xSj3+QEY97pJePcY/Xj0GDE89OkNWPYzAVz36Klg99xhRPapnXD0YMW89ILd8PeGEgj03jHk9x75wPcmjUT3VKjg9foQ6PfuWST2rJUY9NMwzPaSvJT0MRjQ9cfoyPXxkUT24xUc9Bv0rPc6YHz3FKCY9PcYnPdTfHz2jFyQ9ltepPdKTdz5sbYU+4XtWPu/pLD6fWi8+cgUrPimNID5IVSs+wpA0PtNxIj7nzSQ+c4wmPnw6Nz62Vz8+PjJQPq0MeT7j/Vw+AakzPtxdKz5emlU+pMhGPiaraz70aIc+sHB/PkTKkj49p4I+WctBPhdMPj5Qljg+ppIxPu2RNz4fADc+dpszPuDpMz6Aky8+fJI6PjLKOT5xkHU+yAOAPsoIhD7g+WQ+6cNqPnyTQj4lmkQ+HrBvPpk0Wz7OE2E+klBiPmfsfj5Dvmg+KQ08Pgz0OT5WfkM+rwsvPk32UD4thXs+C+BvPpOYaT6n6HE+MU+GPox1gz7uH4A+TiZBPpHhPj6nL1M+1S9QPgN9Wj6nNGE+uZ9mPkKfNz7Qu0A+AiWCPu2Whj5e6EU+7jg7Pv6XQT6cTDE+RI80PnZKYT5jEl4+s2RPPiugPj62Fkg+e9RbPm7QRT4aYkk+MipJPgMyGj49D1c+qwhjPtG+OD4d5Sg+RdQVPoC3dj6+FWw++tFCPhUgRj7l2kg+BmM0PgILJj78zkA+OGlBPpRUQD4vajM+wp1DPkWIMz5sWC4+3XsoPibHOj5LdT4+gs5bPgpLRT4yCTc+EPtEPm/eSz6BkCw+0uQjPu17Rz43Szw+vHorPtolKj5vwzE+dLArPkFoLT7MTVs+SmpTPnSFKj7fwyU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf75KsT3OiGs9upU7PYqCST2lEUI9XHlAPS3ENj2AZkM9I/5DPQd6ST14jVg9EbhSPZd0ZD27UFk9Qck8PdQDOz0iCkE9hmE3PWWqMj39G0Y9gBVMPZh5Uz3M0049ct8vPervKj3KqzU9y788PZF5Pj2W6TU9iyo0PVeJQz3ECSw9m2QzPTxMPj19K0g9YrRMPRXnOj2jLSA93AMePUhiIz2TVBg9gssdPRdoIT2JJDo9YwgoPVJfJj3BRjA98nY9PaIQQz2kTCs953cbPW+bFz0J0yE9Jr0fPTqaOj0vDUQ9HwA/PVYgRz2LiUQ9E7M7PaGGPz1c9js9ToEwPe58LT2f8Cc9XR8vPeX7Mj2Mdy09luExPRfrLj3EwCI95CsqPWK0Hz3Vehk9M7sYPVtiGD0l0DQ9lUA3Pez/Qj2smlY90rBIPfF9Qj2VDkA9RZ5CPSjjOT2hF0Q9g+NCPRMxRD0JY1Q97RRbPYkiaT0ReWE9pMRUPbf5Rj3I8T89x9smPbgIKj0nmD49SE9PPZNEZz1fwlI9CiFHPfV7Uj24f1M9J/REPdHSSz3lKWU9WPddPV88UD0FX0M9wUlDPaA0Tj0t6j09P7I9PSmZUD1AMk09/aBPPdc1YT17nYQ9A2aPPU82fD35rVc931pNPfhzUz3cMFA9XY1VPfBmTD05TEg9lAVUPdIiST15Sj89OoNFPbhLTT1HtWo9F8qDPVVjbz1znWs9CGCCPbJcgz2zOGw9MsFfPeY5Oj1g9T890otCPfXTOz0ijUI9Rrs8PeyOPj3Z00M9r6RQPRq3XD1rllw9I9lXPccgYT01hmo96oxxPeD5bD09dG89GDxnPciYWz1z/2E9lk9sPWUwXT179F89RsxjPTNfbj2vEnw9kNh1PVxsbz2OEGA90yZaPSN4Uj2EDkw9FzxLPYwfTD1P0VQ9RqFZPczYZj0GWGQ9D/tbPYzrTD2SOlU9B/FePd8BYz053Vs9DzJsPZPfeT0fW3s9GaRrPSiBYD25T3E9HfpnPRbxdj0tH249qlFRPVxzXT3Klk49hEU4PdOeTD2OjUU9BFlQPaOdVz2QR1o9Lo1bPacrYj3DTUw9DZpCPRsVRT0pulA9z3NVPf4vbT3002c9YdtiPURfaT0ZC149d/ddPeZRWz3MpUo9ANJMPfXvWD24DGA95Z1MPS74Tj0paUo9hrNNPQ9zUD1FaEk9Ea0rPYtrIj3xHSU9ML4pPU6mMz2J9TM9HdgrPXefMD2fYj499ZddPTJ3fj3vRTo9v8Q/PWzvMj05Dy89mUg3Pc0hPz3c/kw9cWjNPYaebT7vZmk+8oA1PoLjKz5kmCw+/NkcPgicHD6XZC0+dL0uPoASJj5uLyM+LaUjPggYQD5mg04+puBCPlr2Uz7xGl8+ghtXPi7SNz5n/Ck+g8FKPimukT6On4c+HRiOPtOMXD65uDY+97JDPtlYUD6x0D4+f6AxPrCfOD56RT4+RVIyPt1mHT60oDU+CHpuPpj9Zj7qmEg+8MpbPpMMRz6nM0w+gK1QPhi4Rz7DAUA+kfpJPhh1SD5EKlA+ZBJbPhfAVz7oSGA+CP1JPnDZTT7PAEk+tQROPv4jYD7qLHI+rwiGPkP2gj5fj4E+zuJdPo3zYT753WQ+hCpHPnC3Nz7WR0I+nYBZPmBjYD6HNlk+9xBfPmJPVT4JgUo+FFFPPnPUUD7HXUE+RUNIPqjgPD6XsSg+9nRFPtbSWj40NV0+gVtAPokpMT4uJUA+aSwuPuwTMD6/xDc+EFxAPsBvID49cgs+dLA/PpU1VT7haD8+tMkyPnVsMj7/71Q+h2BSPnY7Oz6XNCM+/d32PfPLAj6vJAk+BaMLPnF7OD6pi0c+rbdQPmHTUT5wliU+d80fPmufSD5OBTA+Nu4iPkJBMT4kvEs+Xv49Pux8Nj6i+Ak+Xos7PggkUj514zE+BkgzPnWJOD44Dzw+aNhFPkKYTT5UqUE+uWs3PuzoMD7hYyw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4nLzj0UaY49qT9FPScNRj2Jmj89VzQ7PbhPRz1AYlM9O1dqPdPhXz3TEEk9FAA7PRvBRT0Mn0s9LZA+PfH+Rj0q31899jFmPbJ3Pj23kEU97R88PUCuKz0oeSg9R8UyPeq5MD1H9TE9oBBHPVUnRD1GYzU96lAwPct6Jj0FTR49EfgxPd9FSz35gTU9SWEiPYMpNz1afy09JVInPXdnKD280ig9PLMiPTcfGT38DiE97DEgPfWaLT2w1kc9dpxAPevrGT2iKRI9uNIePcwDMj0lZjA9hp8rPR3hOT2nnzY9wrcnPWsNOz1s7jc92A0iPeTOIT181hs9VwcgPYt9Lz20MSs9f7shPXwcKz2wjSw9gUkuPb57LT3nyCI9dn4RPchIDD3ZqRQ9pmYgPUPPLj0EkUY9gL1aPZqnVz29tEo9Lq9aPWhSXT1Cl0Y9C5g2PSiuQD39KTw9w2w0PbjDOz2Vekw9SR48PVEaIT0J8UA9UPZZPSynUj2csjs9VLRAPTsfSD2tBlA9ET9WPQ9lUz2J9zo9Gw42PdPCRT3nN0w9+6JiPQiaaj1T21U94bZPPf7ZPj3+GzI9dtw7PY5PXD2byGA9xLFfPQNIXz2Vb0s9cRFRPTGDYz1op2o9ILhcPaD7QT3UV0Y9KgBBPU5BVj2wgXM9+ARgPXdvaz1YVVo9FGdXPYWXUj1Lk1M9H3BePROqaT2QXXI9vuZiPW5rUD0PGVQ9m8ZkPVonTT1wW0g9uKE3PRsNPj0aS0o9P0lNPX/RQz0okEM918E7PSEnNz2M/kI9nRxjPdp2WD3sFHE9Zh17PSWadD01WnE9WhdyPatfZz08ClM94Q5YPTD7UD2NT1E9KctbPdShXT3xsWM9JI1tPWH4fT1ldoI9miZxPRcxTj3gAk09qA9LPcGBTD0yvVk9ZmxvPVvBWT0LNE498NtXPZSbXz2LG2c9EltxPRp9cT1fP2o9NpxrPWDVej1OF349kR2HPbowhz1Wg349oOiAPdC4dz1tG349X2xmPVHhZD2LAHQ9F4JVPXjfOD3E1To9sIE2PV1nRT26tlo9/+pLPVHiTT3tqV89HvxUPT5fTD1L1UA96H9EPe30Vz2xyW89frh9PeVLeT2tU3I9CSZtPRm1Wj1nGFQ9hgpSPWGQUz22BE49NL1QPUn8Sj24fE09aTJGPRg3Qz0p2UY9jotAPXQFND0o4TA9JzUjPVG2LD28az49nXpCPRsAST1/Vj89pJAmPa7fLj0ALUE9jZlDPRAgNz0gTjo93/dDPVgPOD1GNCw9KZ85PdNjTT1kN7w9uspUPvx9Wj7vZDg+/YctPgtsLz7qDS8+jeYhPv5pFj61tCI+VQooPnlgKz47ISY+QNQrPpHbVz4UxkE+mZ4vPjnWRj6Cik0+WPh7PuatdD6Uv10+9JpVPhpKbz7CHng+QTSAPsTvXj5RdEI+24hOPg28VT7c5Fw+ZV5NPuYrTj6fOEU+280qPrsHLT7BSU0+uo9MPsZpUD6v9Vw+FEtnPr0fWj4BITo+xbRhPkuzXT6OPkM+tCFaPmvUUz7Cv0k++Cc6PsT0OD5lp00+hxRQPh9wRT5M80Q+hj1ZPlb8Sj41/lE+l61YPo/Qdj7o01I+Cmc7PkABdj4ReHo+lqhFPmJ1QT55qVU+TcNnPjNmUj4TETw+a5U6Prc7RT41MUU+0CtBPrzZTT4rMFI+M3xSPg/TRz7cZ0I+7UdFPjv9aD67m1g+vx1KPvYjLj5HxDM+TZc5PmoaTT7SbTk+b9RCPhHXVD4/3Dg+bu8dPjjNMT6LKD8+BvBCPss1Pj5bSlU+chpXPqDWPT5M6Bk+81QbPnUDLz6LcD8+FRIePrpcAz4P9zo+ZiJGPuITOj4MRT4+JwcnPnSUPT7vUC8+miIePvr9Pz4E9VQ+16AtPlpPIj5wzCU+9/Q0PrQuKj6OIDk+QUw5PjrCSz6DZVA+KW9BPn94LT4Xyig+gGI3PmLiLj7kkDg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyn6uT1f9YA9U3A/PfxdST1Vg009ca1RPfw/Vj1V90s9XfhcPfk/YD1Qb049bKhDPWdnRT0imDo9mzBCPfK+UD2yv1A9YXpBPXLkOj22pjQ9vt9EPXfXND084jg9JvtWPWp3Tz30vj09IYQ6PRh9LT2jhic9CD8+PUBZRD0Y/To9WUc5Pb6CNz1RdSw94wkzPf0JQz21ijQ9ETIoPUqrHj1MMxs9kSQSPd/fCj1YJCk9lk05PfAEOz3K7Ts9EDArPfLQHT1JziY93y9APQ8eOj0e7yw9UbklPdXQKz2pNzY9w3o1PTrtJz29Gh09JJUIPSxPEz1doiw9gQ0hPXAXFj2zqB89oGsoPbFsNT3n3zk9uaU8PaDFOT22qyQ9BwkYPQCgHT3k9iw97v4pPTIIPD3Jw0M9IBdDPfaESj29l1Y9hnVUPU1sMj1Mhyk9y5MvPZtiNj0jdSU9JsAuPZ4URT2oZ089eQdKPXt/QD2rv1E9iDpXPf/YST0Z5DE9VQ1SPb00VT0rA0w9OkxRPRmeQD1HETw9LldJPd69WD0Srls9VvVjPVBcZD2a9V09+CxkPcoGZD1sumI9MMFfPdy8aD2OymQ9s/VgPdiaST1p+j49KrNRPcakaj25gGk9nLpdPbwdVj09R2I9JzR2PQv0gz3xPXw94FxSPUcsVD0O01w9LIBiPVR2XT1Ng1s9EIZZPULDZj2/FnQ9AWRgPfisTj3LRlc9IwROPUMaST1Eyjo97UlMPaosYz2j6WA9wSBGPSwyPj13v0M9roM+PVuROz2SDT49lBxGPZdhaD30D4E9B4hqPaXPaj2owWI9d0FIPUs/Qz3yrVo9YiJ0PauDaz3vq1s9lCtrPXW3YD2D3mY9FERmPQzMeT155249Ms1UPfN0Rj3rg1I9/jpYPaFUWD2oh2s9JUJ5Pc0aYj1vdmw92ZVhPSfZaT2+XYI9icSFPdXRez3jDW09D2R4PURxlz24PJ49VSGIPZNijj3e5Y09m2+IPXPuhD01Ono9tQR9PUWHhD1H0Hs9WUFlPX8FUj0iPDQ9w2k/PXqbUz00jUk9/QE8PZjPST3TJEw9k+pFPeLJQD2+6VQ9kGlYPZFvVj06lWU9Yh9vPWh3Yz3t3GI9hYpPPU/VST3cg0g9c4lGPduSST13xE89I4RfPfHeTD2a3S49qaU0PfOlMT0xpzI9d+YyPTemMD2jGDk9/TlAPRRMST08E0s9aGxLPWH8Sz3dDUw9AYopPTY7KD3hUDM9Q4MqPcUsQj0JClE9fnU7PVKRKj27OBg9+gs+PTA0jD1XxDY+r4tlPqm1Pj6m1y0+JUMgPtdPKD5JOTM+HgsgPhu5FT5tJhs+eh0hPu/1Lz5PITk+xfomPnDWWz4mi3Q+ZodhPv7hUj7c51c+3IJfPkeCSD5fJz0+8zo4PubfKj59MCY+WbtPPicVST4hQ0w+cEhdPuOWST6GgUo+S4VRPsu5Qz7o+jQ+3LA7PgBTSD6Sm04+RWo/Pv+rOD6WAU8+1epXPuYMXT6fpFM+K+BKPjM+Tj7g7FQ+22ZjPlhZbT7jg0s+5uNAPjNVMD4P+DI+9ggxPmaKQT5Anj4+kjw8PiIgPj7dnlU+yElAPklKNT4qYkA+BLQ1PnVZVz7ep04+NME8PicIPj4Cw0o+ldtaPsHdRD6Y6jg+O8U3PoDVRD6wNEs+NWpCPqxQND7PfFA+8Ah8Pu3aWT7y+Eg+YWgxPv/7Oz5kmz8+K/E8PvhpPD4bYzs+XgdLPlCoQT46Big+p7w8PksWYj6U70U+cb8/PhMMNT75HRU+2aIdPiB8KD6agyI+4IIhPu4dEj5giQY+wfsVPvP5MT5J8js+CwQ8PgwlIj6AkBU+/IsfPlMjPz4F6Us+hVkrPt/aNz5J9y8+zQo0PrF0Gz4lgCs+BZA8PnwyLj5xOig+GWovPtAWMj6DkTw+Xg9OPj3nST4qwUI+aA0tPhGDHz5vqSE+QTAnPo1lET7VjTE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1AAtj38CXk9X9w9Pd64Tz1uSkk9+LBEPd84Qj2MeEQ9sZlSPcnWTT0Mlj49nh41PabvLj3Jjiw9URE6PRDIOj2ztD091BU7PS33RD1pGEU9/gZhPYugZT2Ze1c9TNRHPWqeMj2u/yw9tyw/PTzFRT070ic9vHY6PdzATD3KKUA9m1gwPapWRj2qxE49UZ1TPbfUOD1GATM93k0uPZ0hLT2NCCY9h7oePel7HD2ewT49laFBPUIBOz1NSTw9nW0wPcmPMT1PtSo9a1orPSdYLD05AjE9CXU7PVnuOj0zmkE9DUtBPe7NHz1VCRs9+hQQPbMFFD1K6RY9qtocPUREJT02Tik9QuM4Pf6qQj0IsU09qu1OPczBUD0Jnj49QWUvPYtmLT0VtzQ9zLxCPcktRj39Q0c9HD1UPVu8Tz144Uo9+4s3PVRqLD2lDSo9UAImPdNKLT0+pio98RI1PWt2PT25kFo98zBePXlTWD0BUGI97qtePQDMWz0/eU09U+FAPXoWTD3LxEw9mz5KPab7QT1HM1o9T8VTPQ7wUD19XV89pV5tPWbhcT0YZW899n5yPaSBaz0Mbng9+eWAPT3JaT3uclE9eJdIPfkzQz3NP0g9X3hiPSXseD1S1ok93oCGPV+fgD0NpWs9rcp0PQM/cD0j5FU9IbY9PYnhRD0AqUA9H909PTLeTD2iFFc90pdbPcgHVT13y0E9LqU3PZqcPD1ANDk9NTM6PbsiQD3pklQ9EytcPcr4WD0alFc9jvQ/Pf4ZOT3OqEs9pCNMPVWRSj02Tkc9galPPUWBSj3eelE9z4hDPVZ3Nz3OEkk9jOdTPatiYz0+5m89MdBvPZkCaT3UKFc9ZW9dPY8+ZD2bnG89bUBZPSgISz1kwlE9u/9RPWkLZD2g92c9URNpPedYaT1VhWI9hbByPY7tZz2qrHc9uUOAPSZqgz0RHYA9YRWAPRt+ij1EDo09zmuHPVUBhD3hg4M9xu94Pf7Vfj3M6Hg96PBuPfjAij3bSZY9ciCXPRQHbD0IfHA9z2RsPehBWz2161M9Q8hLPfaXUD2/6l09e49KPe9nRT1cwE09XK9RPTx6UD2lgFc9zildPbbXYD09x149judCPZwUNz3K5TI9421CPXXTOz1MGiw9xdYzPfY5Mj0vqyM90SYhPVInIz1IISw9NpA2PWO5NT3zeDo9++I+PcHbRz06k0k9yqxJPa72Rz28Mk49qRpHPbGvJT2aXyQ9BWwsPWJgNT0JozM9wGBCPY6gRj3oKCQ97/oQPdm5DD1V7wc9MRwhPfPsFD4TOXc+lvs7PvmgIT7pYBU+MoIdPlnvJj5RNSM+/i8mPtOyKz6k4C8+XBEsPoorLD5zWUk+EOxLPvkoaj789Yg+8F1vPvwJVj5lB20+dtaCPs7TVz6F4UE+7tcpPgCVJT7Ofk4+NXVtPtiYjj47NKY+r5ChPiabXT7xbkY+c3pUPuOxSz5BAkE+yPI6PgynQD4NoU0+jbFTPmb6Uz6gqUk+zcE5PuAIRT6cXGw+6shjPmVrYj6gHUg+AEJaPnxebj5LOX4+dBpaPqNqOj6jeTg+zokrPvy5Pj7RLkE+iPE4PtFOVT4TDWE+kNJCPvSrMj5iHzo+G0sxPhauMz6Jnzg+iBFHPmlzSD5p4DI+j3xHPkqIMD6QaD4+TBhAPicAWz70KFo+mbA9Pt6RRD5tqT4+1kuvPph+dz4V4k0+pNZGPuzuPT55GDI+BAg8PmC9RD7MCzg+Oi0lPkddUT6BkUk+pDg7PjE7Tz7vzjI+oO4qPqi8LT7e7S0+4r0tPuWFOD6GFj8+k+QxPj5vGz4wzz0+gDw9PryLNT5fIDc+5KgqPocsID4OqVA+eQY6PnoxNj6y2zw+I9kgPgo7RT7XcS0+Sl42Pv0zLz4vSzo+VPY9PmUAKz5jEig+CJYxPlA1Pj4E0Fo+8uJvPp1tJT5aeyg+DPpDPrgzTT64HEk+km4oPiieIT6n/go+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfw8ysD3dIoM9Eo1BPTuYQT2c1jw9YotIPYIsOj1h6UU9xZ1GPflNUj0vg2A9cs1APXQZNT0WEzQ94F48Pc1rOD1gwTA9UTA+PaOzUj0NWkc9dJ9CPUTuQT1f5z494Bk9PTcRQT2Vgko9McxTPd0dRz2thUc9DOVDPVNBWz0jiVk9DkJKPSFVSj34yD89e/QuPcMlMj1RezI9fFQxPaN4NT2nNzk9LWAsPWL8Lz2lJjU9K20qPcECJz2GFSc9K4AbPX5LHj2kSh89LxUmPbIwNT36GD896ak1PT0oMT2aHzM9kGAkPXBlFT2pnBg9qechPV6MOD1i70E9SqFBPb10Qz1wZ0g9e5c8PSsOPD2NpEk9XEBWPUegUD0mo0w9PKMyPZwlPz1YPEM9GE9APTqdPT03qTw9b1pBPeB3ST3xxiU9rfAgPexSMT3nzS09aPUvPUWRQz2jw189Kg95PZvQYj3kY0k9sOhGPTi2VT2x5FE9dls3PYtZPT0rIEE9AgE5PVPeMj3tGSc9ng9CPeEZSz0DKEo9PFVJPY9uYz34FXE9EgdrPQFRWz16bGU9uyp4PQd6dj2iX3c90opmPSWrVz1w20s9RuZPPX2+YD27nH89/kJ8PUdoez0TzZE972hxPf9EVz1G6ks9UZU/PbWTND1SZTM9ihU6PcjDQj2f30s9T+1GPeMkOj0u9UY9zttHPfNDOT2drTA9BoArPVIWLT0UA0E98UBJPVN4Qj0G1U89tVxUPfABUD2fskc9g3ZAPUHlOD0m3j49kwBSPQkLVz0S8Fo9KUFIPba3QD3Xjkc94ztIPTqBTj18c1E9UW1kPTOdXz2k4189zLtkPUCTWz2gy2Q9/s9cPdrcVj3Dw0s9nPxMPQCQWj3B0VI9bRJrPZ5xcD03p2U9d1pqPRzScj29y3g9pauAPRBMhT2JZoQ9EjaDPRsZij3wkok9ceR4PSqKdj2bHG49/0R2PTl5fT0LlHk92xtwPR9vbj2Ev2g9JsNvPVJIgj1NbIA9qitoPY9FZD2621w9kINgPf7AaD2Gqlk9QShDPdyVUj1ptUU977pBPW9YTD3zjFU9CfBZPYStXz2l4FE9641HPbVBQD2iyD09/lpBPcstMD2F3jI95xRAPVgzPD23ljs99Ak3PV3IIz0gFiU96QkePT6YGj0f/iQ99JEwPfTMMT3uYjU901YzPRkxMz1q8Sg9WiIoPZUWJz3oMDw96Ko1PXTzLD1u0Sw9s94tPU+vLj1q3Bo9ctQcPYVyEz3FdgE9paPUPGTTyzyjBOU8OY1CPSMvBT6W6Wo+/oNfPpTuGj5GcR0+hHonPn9jHz6SLx4+E9wxPlYkLz6rRCM+nKoVPuTyID4ZOVY+BdxOPgI4Qj6n9UM+lNRlPkU2bT5By4E+m8RoPhdkKz6X0Co+ZC85PnhlVz4bm30+YWGBPg0tmj69Eos+c451Pk3zXj5hJFo+hu5dPt28VD5VhVI+J7VMPtFiUD5RTE4+nzU9PmDTPj7j/0Q+n15HPtwURT7GQVI+/DxbPr79Xj7tuF0++TF+PsxKkT5ueVU+Y5VRPiiQOj4s5FU+u2Z7Pur6UT5lzXU+PWhWPmnmNj4Wl0Q+kHpMPl7oTj6gfEE+i3I8PoD2Oz4BRDc+O8pHPqwSUz6+OU0+7ctMPj25NT4fgDo+oigvPmtqOj4ETkM+NpY5Pgi/ND7tNTE+FVR+Pti/eD7gm4Q+HYOAPp7sRz7xOUE+tE05Pj7yND4fjS4+vgs4PgpJSj7Ivz8+2/tEPjhSRj4IxjM+8S04PuI6Oz4Ixj4+1kg2PlnENT5Q60g+AjtCPmnCOj61fEU+kF1APhTxNz7TcDk+ACImPs7AKj6fZTQ+zU0mPnbGMz5i+TY+C8ApPpf+ZD7HH2s+mIVkPjOuPT7QGTE++/Y2Pv+bJj7bFys+5AUpPvhUMj7MdkY+TUc5PtwjEz6PDS8+OPBjPhYILz78JzM+v/0kPuZUHT5BzRE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfz/o7D1WH5s9iCk8PTMwQz0W00w9425ZPdY4VT2HQEY92LZVPTNpPD1QHTc9pLQvPUjxNz3qw0E93HFFPWSpQz3hLDc9g+Q/PetZMD2AHCQ9XoohPdIqLz2Yl0c9oTxMPdQwQj0S70Y9h4hKPVVeTj18olo9aWhpPRlyZT11D2k9aclfPa8FSj11NjI9LFs6PRe+PT3D+Ck9/D0zPXgwQD0kQkk9oncmPcViGD0xHB89uRYdPYIuAj0KGwY9n4wTPdK6ID3kOyo9qK8zPZfOSj1iEE09qastPUvfJD39pCU9VvodPWdgJD0Eqy494505PTbARD0tVUA9Hb9OPQ51Oj1u1T49RBFBPT5vQj2mmD09Cpw4PZEyUj1vtU49yW8wPXy/Kz04Ozg9dgUsPdc1RD2Cc0w9lB4tPZPjLT0Eaik9fd0yPWh6ND1+Zk098b1YPZu0Sj01RV09cQRZPbP6SD19aEE98gI6PYhyKz1cbCw9auE/PU/YNz1c+jc9CBIwPRSGNj2MCEs9tj9JPeQqRz2q4kE933pcPXERcj3C3XQ9O+RgPW2aWz0QCGE93y9VPUZRUD125GM9zOpkPUKBYT1ZkmE9RUR3PYmigT3eRmM9lxRlPTKwaT0aOmY9OAVPPV+BUz2dYj89wKQ2PViKKT1v/CI9B5EuPZ6yNj0DBkM9AZ9QPYNqWj0+tFo9AQldPV/eOT3iITQ98U0zPRDmMz2GEDY9lLxFPczMTD03bGA90ClZPYVYXD0/r1M95WpZPVb9WT31V0897LBZPYysVT3oW0w9TYFJPb9yWz1MQ049RZhQPXc/Wz3RKV09hYJsPWQDgT2qAHE9ARlqPUO4XD3DBVc9TshZPacGUj0PZ1w9wClWPWdUVz1hd249FaFnPZrPXD3Uf1k95rFlPTXVhj2lh409LLWLPQaWiT3L/II9qlBvPfYVcD2O33I9/UdlPQcFfj3dyYE9TmZuPXx3dz0ZsXs9ZoV3Padkej05f3099AeEPV2QlD0AJ4Y9Up9SPcECVD1og1896/BUPTxJWT1zDlk94uxnPfNLfT3qdHc9zCdtPXw+bD1F8lo9TqFSPUdgXD0B8VE9++A3PVNZNT2RNEI9v4VVPYXZVT071j49mHA7PXjALD1j1yc91BcjPQd0IT3QGTQ9EN4qPbT6Gj0ngiA9wi8hPZ3sKz34Yy89uJwoPd6FMT2e4C09dTEoPfneMD3Tpjs9u4BNPTCrkj28ZIc946giPUpPFj3bsAs9d9YPPRUV/zx3Se48uevKPFt8oDzDzvA8XbgTPb2d3j3RtV8+zNdCPrSfJT60cis+34goPptVIj4C7CY+bvEsPtvLHj4slSg+pGEsPrKsLj7rTjQ+fRM3PpMiMj4W1TU+nm5BPkSpQD5vzzo+niUwPv8+KD7oIUc+yEtSPi/9Rj75XUg+xbkvPm2tOD6NkSw+QuE2PuybLj4evD4+RPJPPpWgQz4JLmI+RQFiPjFCZj6tHzk+j6U4PgvDPD74Xj0+nwJHPvqSOD5Sb0E+Tfk4Pq6KST77f00+vdhXPp66gz6cCno+lJ5fPoWqSD7FVX0+wRKRPntVYz5dVIM+ZotnPr41Wz4/Alg+gJxLPpxRPz5Y5EY+KmNXPlrVRT6O0FE+MppWPnGZVD6Q2WE+wK1XPmy8Sz69WEk+wcwaPq6DHj5fpyY+dgsmPrBjMT66pDQ+vPJhPrHNYj6Olkk+4SQ9PnGFND5r4D4+68AtPko+Hz6mRSg+eZExPlHiMj6ig0U+MyBCPmFxJT7GEBg+LWcoPo+qLz5huDY+Tek9PgKbND4sFUA+XtY9PvD4Mj700Dk+NnI9PnYgPD6yKRI+CmsHPlDOKD7RQCE+VdggPkYuJj5BYCc+r8gSPpN+hz4q7oI+681SPpVPKz4DPSc+M+wkPklcLj5Y5S0+mFw5Pj4+Jj6/PSI+y18XPtrKOD6ljC8+GSowPqfpJD5G4iQ+tsEZPuQbGj4OKx8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2fWGj5Xt7Y9MTQ4PVooVD1p22E9MydZPcloRD1GijY9kDE6PQI0Oz18Xjo9s+kyPcwcRj1910g9Eys9PT/AMz2uZyk9uLlAPS0qNj32FzM9WbcpPQ2BRD2NaFk9qI5EPQIdSj2cBFM9hwpQPf7PWD27y0w9SXlQPUw7WT2SAlU91z1GPSUXOD2KDzc9VloxPZgBOD2vtTw9ydRBPdz6Sj2c4kU9U9o3PXLJKT0f4xg9f9AOPYOWCD0ORA09IQIcPdofIz06Nzk9IH1LPWU/Nz3VZh09FJcePds9ID3OHyk9hHMwPbyPMD0wXjk9Uq5APQicRT3Isjw9TxIpPbxoIj3CUCg99/w9Pd4kRz1D60098MRJPZiYTD3GpEA9QOYxPVgnMD2TzTQ9qSUmPXeaHz1FeSQ9Gz0qPeCgMD3/Zzs90vFWPS/NSj0ut1M9gw9lPfKtST0QplY9fFJLPQQTOT2kIDk9aW0qPYncJT0PwDQ9c6xDPfZ4LT1LmCM9GvMwPXrxTT23pGE96DFWPc2xUT1dMls9NSFfPZhjYj374mw9hlZjPS/VRj2JkDI9bnlHPbM+XT3rQV89Re1WPd1Gdz0f0Hw9bmppPYwabj1PJFw96wpoPR3UUz2PDEg9f/pOPS42Xj0fpFw9P1VLPeQJMj0Yki89ymwyPXZfNj3Q40k9nyRiPeu6Yj2RfE49FJREPW7WPD24/DU9vIY5PRQUST2FvFU9DAJSPegAUj3GVVQ9jl9SPaDlWz1U2VQ9Fb9UPbDmTj0DCF89gbpzPYHUbT3Bv3Y9fOZgPXoTcD3o43U9ggd1PZ7EbD3Vp3k9RSxnPQotbD01b2M9odhaPSDLZj34RF4954dAPQr2QT2BlVg9vKxrPeYhYD3TWVU9+KBmPYepYD2cIWE9Kl1lPSEmfj1z+409BLGWPY0SgT2u0Ws9mXxNPffHRz319lc9cehrPcnThD1EEY49rSGBPZYbez3DEHM9pGx5PVzyhD09hoQ9jxdrPfl1Vj0do0w9d19YPehHXj2feF09AdZpPU37fj3fmnw9ICuOPSwpiz2RzIM9r/F+PdO6aj2cvFs9gaM4PUl4Kj2kTzA9HTUvPfWPNz1yDEc9LMtJPXS9OT2oWyY9K+MmPZqBIT1u9yI95IAVPbM8GD3/jyc9aZ8XPehbHD2r7x49BN8oPa9HMj1vBCo9ND0uPfJSPj2VkUU90nJDPYmMOz2s2i89AAqYPUURFz7wqqc9LQ8kPVTFGT3ZBSI9GV0bPaUJBT0zjM8825KdPO8Pizz1QwE98P4VPeTNAz7zEDk+7ZMkPlxVMT4+YDA+blUyPta0Jj76fig+B2UnPkEOND5Tpzw+LmlDPuJqQD79XDU+GrcwPgnIIj4JIjM+LmZNPqA/Qz7Yvio+J3YnPryUJz6odEs+JUJaPoKeKz7FeUY+DPJbPqv6WD6moDI+/fFEPhoSRT7kSl4+qv9WPhwWOz4GsG0+/yVxPo67Rz5QJT8+5qc+PsgFNT6x8zE+LAQ4PvVzRj7+R0o+V6hPPoeSRD6JDUY+BU1RPsTOTT4Aj00+ePxHPnGCOD4Do0Y+hB49PrOgQT7hako+kWBEPgBTRD6F30c+oe5LPqkTTz5dp1c+ba9cPrnkRD4Cyys+Mwg9Ppf/Rz6EV08+3BlLPvNoWj6B6YI+M0E1Pg0lKT5pCyc+3HQjPoX6Jz5n4iE+ntozPuuPTD4Pwz4+dvUtPiAdQz6ex1o+OhJYPjyEKz6VdBw+ofkePlEaMD6LD0Q+u4wuPpzjMD6VoEY+ZCU0Pr7xNT6cBEA+f+00PqNiJz7/uC4+YboqPt8zMz44eDg+82M1PlBlND5qwic+RacVPkcrHz77DiU+sLcjPu5KMT4tHwA+hMcoPgstXD4hNDI+R6UTPmixGz4VICk+6SAnPpDiJj6S5CM+PwAwPo43KT4yIhA+HcAlPrdjNT4CKzY+J0onPl2gHj79MSA+Oe4fPp6xJj70GTA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2BDSD7oEeg947lRPTrDQT38Qjw9gQw7PX3DQz0sLkI9iyIvPc6NLj1mByU97c80PaaiRz0kTEU94OYmPXHOLz1x4is9jBAjPY9tMT05GFY9tfRVPe7VVz2C6FY96s1aPdNATj3ldVc9WDtTPYdyTT0Z4UM9vNFTPQg3SD0UyE09CH9RPT4UOj2K4ik90DJCPVzDUz3xlGI9ZtFpPYX8SD2E2TA9gGorPRROGz2ybxI96k0PPXTgHD3JNCU94vApPcCiMD2tbDU9uUQtPRpjGz1XACE9MpcjPe6VND3m3yo9/6sqPSezOj1D7jI9olk9PScUOj0dkiA9WZghPQDoLT1yuTY9sXlGPTf6QT1aFkI9j31HPfAbQz0UPD89FYk7PdviMT2KLjo9v+88PVY3Oj3t3D09gZJAPQFlNj3sikU9/oJKPaF3Oj19hDc9MCNKPf1vUz3MB0Y9e0k4PRmaOD0SAzc9zqE3PfjVMD2TRDc9hxg0PS1DJz0OZTg90SpFPZASTz1NSUw9suhIPa2nVz1Wu1k9uCVYPS5vUD0RcUI9Ug9SPYaATj338FE92ORkPXpKZj14rmc9SD51PZLOdT1abm49b0xkPcp2cD1oSGg9DcNEPffgQz1fZUs9kXtRPdMLZD1EF289jwdcPUuUOz3IvTs9R09BPV5OVz3XHlY9l1NLPbV6Tz1wNUM95q44PStMRD1k6FQ9K0JbPaS2Wj0Ltlg9nsBfPUZ1Wz3H/149onJTPfbsTD2UEEU95YZUPfLlVz3bhWI9PMtoPb2waD1tz3A9V/5zPSnMfT09EnY9ldttPYLyZj1JiHE9PzmAPXcqdT2o81U9Pp1EPXzkNz1vkEM90gtPPbIQSD3KsFU9C5hMPWgTVT3EIHM9StCFPeQthD0e2Is9pLKPPQdifj0DmW09S1xaPfOiST3gBE49rphQPTKrYT302Zg9LIC0PY2Poz2u5pE9Eb2GPWqudj0BdWU9R/xWPeeYYz3601w9CuNKPdPJSz27Okw9zlxQPcxNXT34DWM9NLN2PcjDiT3Jl4w9A5SSPRa6hD2un3I9VJBvPYhsYD0neVE9ssBIPbm1Pz3D7zk9W/1EPcqjQz2Z5Ew9cKMzPVvMGj0F7hI9ZmwYPTK7ID2xYB09pWwfPRHKDz3xShQ92bUVPVTKIz1/oyw9QzItPdxVLD0PMSg9iUUrPUAYNj3nBiw9uH8oPXL1IT0PdCM9VPYnPXavOT0DuzQ9+v4vPUhwKj0Koh89ZxcaPWhh/DxUrqc8pGyEPC5/hjxF4xM9+6pPPTGhND5PZ0Q+M/siPh9MND5yakM+ucolPlLkKD4Exh0+fIkyPukAOT5zQ0A+sDg1PnjzNT6yNjI+BtMwPs5+KT4+hy4+iIEpPrbxKT4qEC0+R0AxPkFOLj4OMS0+YV4/PoHlND5cDFU+7IVePqOgTD7QYU0+uwBGPlx+Uz6gLUg+frM1PhlLOj7QCEc+SlJEPqGvQj7l2k8+mahRPu22Rz52hjo+KCNLPp4+Tz47iD8+3YZAPn9/Sz4i21c+Gn5cPsIBUz7lr0c+anVCPnsEUD4IvkM+osdPPkAuUT7kEF8+1a9fPlfQPD7Sdz4+R05OPnx8ST7r1Uc+csp8Pp6KTj7bXgw+kZkzPgvQUj7T0Tg+wO9BPuz4UT6Wpnw+H3lSPsAWWz5XaVs+PYk6PsxJST6sSEo+8qJBPvxtOz7T2T0+8Mg1Prv8RD5AiEo+EOxPPsbcST76wic+6MkpPqBYMj76ACM+spciPrrtNz4BdTY+3IkzPhOEPD4KDD0+sVcgPlQQGD7FGx0+25oqPna8Mz7clTk+co0+PpzsLz6rxyQ+bdcvPryXNj44xBc+X3IVPszDFj6ryV4+t8KgPnozOz75vCo+vYYYPiEMPT63BE0+Z1E+PpscLD6QzS0+C6csPkk0Lj4N+So+o8w2PlRbQT5IcEM+VtkyPs0eDD42nCk+ZlVRPnfMQD4C4iU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6K9Fj5uNXk91ZlJPcK4Nz1U4zs9F39MPTUlQD3l9jA9zjcqPZpAJz2D2DQ9fuBLPTyKOj2e+SY9ECEpPc9IKj09jy49rmAsPZKcPD0dzzM9gFc8PcnWWz1P3V492e88PWN3OT3epDk9XYs8PcVaUD2g7Wc9xP5dPTjjXj2qL109wYZTPY/LRD2RoVA9t1ZQPRfASz2GmD09JdQtPekJKT1mLiE99uwuPeAOMT1+7zM9+XMiPclmLT0CHjE9vQosPeniLj2A1yc9vWgfPVY1JT2K3DA9Sw0/PQiYMT2KhyI9LykqPXUYMz0e6T09Afk+PQnUKT1d7CY9eNw2PUGoMz3wxjU9aAlLPaFCVj15R1Q9IL5QPbKlPz1SZTs9/8o7PSUZNj17bzI9bB83PbvZMT2O9zo9LY1DPeafOT1gAC49wjxAPSY3Sj2JLVw9sUxZPVfvOT3LBD49XOxTPU3UXz0/w1M9J6BFPejqQz1hNz49pOAyPXarOj1Sh1Q9n5lRPcOuTj0Pi2I9bpFRPVf2Mj3x0T49dOY+PeQyRz1w80U9GgRiPeEkYT1wPEc9OR1KPTYmWT0+amU99WRxPaJvdD2Lmmg9FFJcPVQCVj0ZMGU9GmdnPa78Zz2Bx3g9UclyPezgUT2PsUs9hw9CPV2PPD08dEg9V2VdPTccaT0oPWA9KqZRPS3xVD3AxEg9kjFAPXGRSj0ZhFM9AvZePSUMSz0aoj893RBIPROmSj0L90Q9D649Pd8PTT1nn1I9kn5UPf0SZD2nIHM9V7KCPZkJfj1/lHQ90bx8PWgRdj18HHk9DCt+PY2ZbD3R6GA9ki9qPdziUD1ygT09SR9MPSy/WD1holg9ERtFPQH5UD0ExVs9mj1sPUU3iD36JYg9jRSFPd/agj0YUH097sFkPaIWUD2cSDo9vKE0PQhEQz0CxEI93SFNPStCYD0cCGw9CwZrPbHWZD2uFYA9kJl6PRr8YD1Ebl49NANYPXw2VT1rdlo9I89cPaP6Xj1OWUM98lNNPSGSUD20akw9BH9qPQw9fD0st2498gFtPbzeYD2nI2w9VUFlPau3Zz2o2mw9gQNkPe6gbD2buU89FO03PbheLj2Ngiw9l58ZPQg2ED2y2hM9ZccXPX/1Gj1TXhc9wbYUPRoWHz1qbR49CuobPRK+ND10IEs92ZAvPehvLD3QrzA9CxonPQ3cLj3udTE9CZooPR8IMz2HnzU9Ey0pPaAlKD0cFys9/t82PWXgFD0ujN48xza6PK1WnDzlvaI8buynPM1Ivzwp3O080wKnPVX3XD7INzk+LO4XPkD6Gz5SUxw+/eYkPn5rJj67Zh0+ix4vPotqNz6cl0E+fKw3PnaZPD5jezs+YfQ4Pt6bPz6fHEI+sHsyPrNyNT4jSC4+ZcMgPo+6QT6E1zg+QgZPPjjLVT7P3mI+GAtcPkJIPD7+fTw+FoMyPkQ8OD4+nyY+SLMnPthUIj7l0zQ+LVVNPiEdVT6Fpkg+SIA4Pk8mQz6yfF8+MqdWPnlKTT7Cckg+SkVLPjEYQD6vrFk+BuNGPm36Tz7m61k+mh5RPmV5RT4LVUc+6F1NPjPnUT4eiFM+hXxLPv5QRz6HLVI+Z1NOPjA+RD5m/0E+zphNPnvqKD5Jox4+8bRJPnDYRD4tfjQ+sT9NPo/RWD4enXk+kaBDPjaoMj7xMjg+iAg6PmZ+OT5RxD0+8wtLPrucRT6h5kQ+JcNDPmMmOz6s1Vg+LaVQPmfrPT65MjM+PzUhPk1GKD4J2zI+ciEpPpzsOj5j9i0+GowvPqgHMD4/kTw+EmUrPkYOGz5LLCg+JCY9PqutPT6Q4Tw+p9kjPpplHz69sjk+0DYuPvH1LD67yjA+7CAxPpSiMz7voT4+DGpFPqDWTj7iaB0+464gPieUMD4lmig+HYcyPk1UKj7xziQ+PegvPqvOLz4EcC8+/K8vPkuEPD4bLz0+jwYoPu3BMD6cnTU+RrU3PqYSPz5WFjM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+Eo4Q9v59ePcMfVT26IVQ9ddJOPfsxMz0Zmy49Yfs1PXmAOj0ih0A9FcRUPTJlWT24Kz096IAfPaO0Kj3z4S49oqwsPQCjMz13UDg9deFZPZNVYj3yJUk9+dsyPRJELD3nCzg9ZWw7PZySSz2/tV09luBjPeWgcD0F22g9EMlLPUuwNz0v0DQ9/C0/PXhoOj2WEDU95tc2PYOVPT1bllE9//BBPcynKj2IdC49OxQrPZFjMz2e6TY9gk0ePTT3GD1MNRg9uC4ZPTb2JD1QyyU9E78dPdKVIj3Mmhk9JrsrPRs6Nz2EcTs9b31ZPfBAVj2IIUY96ko9PW2QPT1ghUA9Q/tAPclvUD1HejQ9K+0lPVZiOD3dJDQ9xNczPa4/NT2w8Sk9afAfPfb2Hj17zy49OdU5PfrMOj3UVEY9fd1IPZGvVT2xB2c9vBxIPcA1MD2jbEM9sGtNPeusOT1MZEI9jCFLPRWEWD1HEVI9SERKPUTTRz3iskI9/pBOPVIbTj3ARlU94yk1PahUOT3WKEU9wm5YPV+caD1dy1M99u1WPW1gXT3sr0Y9n8dQPeUbWT1jOWU9/xxmPR4PWD0JxGI9uqFwPba8gj2pwYk9pN6BPQ/5cz1Aemk9ru5fPXL7Zj0P31c9ejBVPeOgOT0YBzk9XSlPPQcKUz0qjWM9JlZoPbsDWz1bxFU9aSdPPZe2WD1CjWM945xiPcICUT3kbEQ9r4hOPVfRTz0wIU89kjZsPXjNXz1hOnw99omEPV8Lbj2EW2g9BaCBPT1DfT2dUnE9U1xbPTxyWz3531A9Xq9FPW1TRD0CIEM9yL1DPQEiPT05qUw9QzVePZ7raz1aYWk9YNBJPZzEVz0hLn09vB93PZqjcD1VcXM9gURnPQaoUT0OOUE9kvopPZ6YJj2l/y49mlctPfkdPT1j4EM9eZNCPRAhTz1l8ks9cbFYPS3aYT0q/mE9HHVKPUKTTz0EOFI94X5DPZbdSD36bTU9+EY2PbG8Pj2sjVU9TyJNPT/TRT2Smkc9pR5aPR4PfT0/Zn89VvxwPdh6bD1F6G495V1yPaYhfz0hvXY9gMl0PRA0bT0+f1M9+qQ6PY7vHT2MdxI9H94PPRVPED1dChs9KM4cPUmVGj1y9xg9mAwjPcfCNj0oFzU9VYE2PQm8Oz0xMD89O0k6PZlcNj11jD09IYZCPV52PD0sDTk9QMouPZM3KT1w2i49HEkkPbFSBD2K2ec8D9PhPNMOxjyVZdk8QcXrPKO79zz6abE8VK7yPFhXDz328DE9Ou0tPoEzVz4TtCs+XasiPs/vIj5FHjA+Rys3Pg+GOD7ZLC4+iSEyPrAKKD6QZC8+l8NPPotpNT51PSE+r+QoPj55NT42Bjk+iVA5PiAHMD6PSTw+jH4zPtsfNj6jMFc+Ex1EPmJRMz4ucUA+O4JQPmVNVD5lIGQ++v9JPsY0UD7RKUg+0IQ3PtO4Tz7EMWI+7e2CPuZnXT4kGVo+TrQ+PlmzSz7APEw+Re40PqdQMz44dEA+c0JXPgU1Uj7z9kE+8s1GPouhXj5CMlw+MzQ+PrdfOD61kUI+/oNFPtzoXT49Sko+RF9bPjC4Uz6Qa1w+50p3PmisVT6mEDg+qddGPurZPz6tpk4+m4VHPihiMz4USTo+BVxjPkp9VT6JJUY+so9DPiM6Qj72rFU+zYJbPqyxTD7KuyU+n6BZPkrSgj5qsIk+7mqHPiY4dz76tYw+zW2EPoEpMj5XWzU+VcowPvKcPD4m4U8+PQZBPoVIRj42W2A+zC9bPuk8Pz4IjzI+x8E+Pl6jOD72vDQ+q947PjiqOj6X2Dc+VBccPkZKDj79WA8+g+ovPjbMMD6ZKB8+gl8VPur0Nz6i8kQ+H5AzPs5IND5ar1I+SSVZPk3iND763yw+TcsxPpL+Jj5BWCg+OBw2PqAgMT5N3h8+bIAdPl9vMT5B7jI+LPsiPti4LT5e00U+ze0qPra1KD4qjh8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH99rlM9zogxPWM3QT0b+lg993ZRPePOPT3qRkA9da81PfGeOj2Etjw9eis8PbvWPj1C6yM9onIePe95Lj0uOzE96LIrPe9PND10JTk9spI5PXI5Nj1OPjU9SxctPUOwOD3lyEY9n1RMPcrBUD2FWlQ9OqZoPeXEhD1AlmI9RYJNPd0eQz2AmUc9O3tJPUKfQz0C7zk9+ZVDPSxmRj3wzDs94OYzPbPgLD2wvSg9VagjPYy6JD3U5ys9A/YbPSjRCj0aUB09f9sgPU9rKT31sSc9B54uPZ9pMz0sjkU9PwNBPZPcOD0Oi1c9qaNoPWn8Uz0i10o9riJAPazRRT2VBC89IsMvPSEeOz1haUE991hFPR2xTT0MKD09Dc8vPYnaKD29ECo9AR4vPY3dLz2P9DA9ggIzPT+iPj3y3V89onx3PUGfZz1TiUk9s7Q9PTAGNT2tTjs9j7pDPTSFQD1CXUM9TSprPd1qjD3gAn49s1huPVPpVD0O6jo93mE/Pf+CSD1q+jw9k285PbIYOj3CKmA9abNjPfdkXj13umA9awlhPSTdVj3zhFc9gVNkPb91XT1HLWM915BpPcz6WD3A1Wg9yFmAPVIWfD0/mV49fwhsPZx1dj3FsH09JmF2PZghYD2NNVo9K1NbPUItVD1+m089hy9ePcynaj3hIX09+GxkPZEUUT1J9WQ96GRmPWhzRj3lNEs9sVBIPcg6Qz2XAkg98ohOPdQkWz2pI1s9pt1ePfLHaD0Adog9y75+PVLBYj2/u289SHRvPTbkUD2W0kE9o/ZFPSLCQD2r7js9fl9EPVWAQT3bfko9k/pgPWscWj2a3Fs9r05jPaXcaz0W+Fw9+dFcPQPWZj2Z92k99RtmPYD4WT0QTk49PE5GPcUtOz0PLUk9WzZIPSw4ST3V90c9VPdMPd8eTD0j1UY9SsxGPQt1Rz2a01E947RYPbnBVT1S+FI9T3BDPfpAOj1S0T89cioyPe2EQj1fbkg9M4BLPe3TXj2UJ0094udJPSDGTD0mW2E95MJuPYSabT1Jrns9g3eBPX/Shz3xYYk9RCFwPaxyWj3BQj49adsqPT5RID148CE9IMwaPYK9Fz0d+hw9dNsZPe6CGD3gYBM9IhgdPd3yIj3+biE95fUvPUGzPD1J4jM9VAo5PSgkNj3nnmM9alRoPbDxOz1YHTc9JDc6PaTeNz1LJDQ9+/MkPbbWKz207jA9MPX9PAebrjzYYLA8gdS+PJlmxjz1DMk883rMPLnkyzz9d8k86J8LPYJ/DT3hn/I9NYBcPuQ1PD5sIyA+MnMjPmBAHj4nciw+Mf83PiEGMT6Gvi8+aww1PoRuGT7ugVU+ACldPkHBUj4mG4A+bZBFPl+iKz5mdTE+IOo7PpqnRj4c7zs+ERstPgxKUz7IAmc+BKlMPtqiXD4PSG8+XAdmPvrdUT6yYWs+HatdPu8aSD4zSE4+ePAxPhDqUD5FKoo+RNOPPsZTYD40304+F1A9PhVHRD5odDk+KPNFPkLnPj58EFQ+x6k/Pni/QD6GRj8+OxBJPn2KZD7HymU+RmVCPiDFMT7Jr08+6E9BPsD0VT5sRlQ+KbRhPiQAXj6KkUQ+D2NAPgh6VT4MRTg+rgNEPgw9VT4xvU0+kbxEPrwGPj4aOUU+CuFVPqZDOD5fJh4+nfBPPvXXTT4lUEI+6exLPuK8Mj6dwSo+PLFAPuvCOz7fvzM+6mBUPkhWYT67ul0+qy49Pq1bNj5lHTk+Xb8mPlpuPD64zFc+btdCPt0IYz7T63k+dhdhPgV9OT5mczg+scU7PmzJOz5GakU+6NEsPiLGLz6KWS4+6UQTPpLPDT7MVCk+vcQ+Pl3BNz6TJiM+7kkWPq9pFD5vzys+KRE2Pq6eWD7wmjc+YDYvPsJMLD4dwSE+U0koPvv8Iz6xqCg+qmItPgVfJT6bGTY+ZvlEPk9dHT4kLBw+Dy0+Pqk7Lz41jw4+kFMLPl7qDj6nWfc9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8fvKM9s1NHPQuXVj1dC209syFPPdaUQz3kGVI9NsBXPTXNUz0Ty0Q9Bk09PSe3Oj1efz89xr9CPQZyRj330Tw9UJw/PeIOMT0sdS49n6ctPVDOQz3fUkQ9oEo9PbysSz0qlWA9kzZwPRjnZD06k2I9AIp3PV6Yjj1Os3E9D7ZYPV35UT2m0j49Wk9GPS6gXT2F5Dw9lhsmPX/BND2TsDc9CjgtPUwIJj1f9h89orwlPXv1GT2frRs9DkYYPUYXFT2y2w89YX0gPa4HKD2a3Tg9a/lQPbuvPz1FBUE9WatKPZ/dQz1VFEc9mYA4PT9INz1cIjc9XFgyPROcMz3qviw9VhIwPSwhNz1T81A9/FJEPQnVNz0vki09YsBCPVXhRz2AsUE9FEc+PSBqQD2OUDY9CPdDPVIbXz0pAHg9bKtvPVm9Tz0hhEI9lK9DPW70PD2jfD892yZHPUV+SD1Hk1c9cKZoPTUdWD0jij89D4wzPfi3Pj39zTM9MDU1PQEvPT3n90A9cMRKPe7OUT04Klk92ZNqPTsBYD28GmU9dipvPbxFcz2YMWU9HXVKPSjuTz0iZF49k4RaPbndVT2qAmQ9CQh1Pcc8bD0ApGc9vNGEPSTjhT1gCHY9ALNYPY8DVj0HulU99hRVParnTT0HmE89r4dZPYWVdz1hvGk9IadSPQ5wUD03ZU09sepYPe43aD36tXM9IXpmPQewYD09M2g9fyNNPT4mWj1043E94nKBPROjej31amg91SFcPZnwWD2F3UY9BPBGPYovUj2X11Q9C3JQPdF6Qz3m9kY9gnpHPbOQUT2De1g93oBiPdw9XT2hbl49zhZ0PfyWaD0Bhlk9eUFmPawzaT1IkGs9Qq5bPUscTz0JJ1o9UzFlPaBRZz15qlI94XJCPeNdMj31oTk9IWtFPYUXQz2jhzk9DE1IPb/2aT0NB189r+1aPXpTTD0CFU094qdOPXjzTT2nlUs9WqxKPX3aUj02QlA9OadRPW2/SD2IYlQ9EsFYPULoaj2C4Xc9qQNePTvKVz0IN2I9NepjPcowYj11ZVg9kchCPd/SLT3/5Cc95E00PXMkOT2KFCM9BSgePXIoFT14/R09UfUkPWn+Iz3QbjM9jX8oPUORIz25NiM9ACsxPUpHLz0keCE9o+8oPWpUND1Eli89iRguPf47Iz0z5ik9K4EtPQU0MD3C/io9MvMZPYGWET274Dg9PCUwPR7xoTyU0a48Rt21PAtPoTyXcJ08O/msPJ7GtTytu848HUIWPYsQtz1itEc+Mc1EPojZKz5RliQ+/Q8qPgzTKz6TVS4+sWgvPoGgMj79oCo+5cEvPl8NKD6ABzc+K4JsPoe9eD7t4kk+nSYvPneEPD6CzDo+9thOPijOVj6mY0Y+9d8mPnLScz5tXYU+ixJHPj9yRD6bqDQ+518/PgUhPz6SJU0+5XI5Pqy1Oz4xGTA+RYo5PkkgPD6IclQ+4IdSPr+1Qj6oMTk+TflBPgBIOj6NuTE+ZC0/PvRxOT5Tlzc+rPE2Pg3VUD61S00+eLtDPp8xQj7Cn0U+VTBRPq7zNj7FoEc+9/M4PqvBUT7+ZVI+idJePvzhXz5kEEA+1Aw6PpzwPT60LTQ+1CVDPqsgRj4hd0w+v8g/PkrvMj7GFUg+MFVKPnywOD5oKzo+ytRIPjO4Mz54wEk+tno8Psb3Kz4T6EE+2LE7PnD6Ij5nvy4+SRRAPhrFND49lTw+7cMvPp6mNT6GGDo+n54uPsudPj5mXUY+kAdPPkracj60TVs+Ssk3Psd3PT4ehSw+hS03PjYwPz4LajU+cOovPjadOD5XtTQ+v7M1PlMoLz7qfCY+gocqPo/mKz73bCU+xacrPijWOj7qX1s+3+JJPpNIQz50yjI+dEovPjKeKj4D7Cc+GwwrPqvSNj5IMjM+sslGPl2JPj74fTM+0tU7PkXtOj4SFR0+fC0dPvlUCj7hofM9XUryPSx0Bj47DhE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9zPZ89WPxfPQ3TRz2qUTg9E9pRPRmMWz38vF89tBJIPZVjOj3L0j09j/Q4PbyNNj1ypjg9DQc+PQcpOj26kDw9y7A9PT6dKT1u5UE93vBSPWMcTD0dHk89HRFkPZF1YD3t7189UAtlPchBej3TCYE9MKGKPUdKiz3fnW49j7RNPX22ST3tq0c9YVlCPWITOD3SgS49eRwyPSrfPj09FE89ZYJLPUNXIT3JkBM9eigZPSwWID3JJCg9q2cmPalDID0A7x094vwuPe+INj1dfD498Y09PWCCVD2Xh2c9o8ZfPQxBSz1ByCw9WQEqPapqQT0zZzE9NjhBPS/7NT3j2Ds9RmdEPYjURD24ij89VQ5FPSViST1XlGE9bDhnPVx0VD2HLkM9IapGPeHaPD2iHj893fBSPY77VT0fkGA9UGBRPUzDRT0kukU9nAFcPWQJWz0Y1EA9SNJIPRZtRT2vYTc9SlY2PVUDQT03lTs9wHkqPa73Mz2KuD89PlZAPUpFQT2Ajkk9OUBoPc1gXT2c81U9pe9mPegCYz0+9GE9+yl3PR6udz3jRmY9prtjPaUzXj3J40g97k1GPQVrXT2KBnY9hTBtPVwVez11H3Y9qBlsPSuxYT27d0g9P09iPdYKbT0UdmM9nHVUPb9lYj0C9149b/BSPbC/TD1L4D492lI5PVeJQT0tlk49jRtXPQoHYz0wmmU9Ji1uPURvaD2C/mM9DcNdPdrmej3+KXg92pJjPcWmQz0wpTU9WYtFPTsySj1Y5zo9OT1IPU6tWD3p0lM9KFVEPScMUD061Eo9LWVFPV/tSz2LqE49O9RaPZPSaj1LgVo98vddPaK3bD2mwWc9j2RtPeGxcD14R3E9zcxcPTZ/Uz0PImk9lyZxPV2UXz2+JEU9CMgyPYKHLD3UsDI9cJJAPUm5Sz2mTVM9AtJdPU5NWT1fRko9+O1NPdE5Vj0KGVk9OWxVPTR8WT21QmQ92/B4Pb/yez09N1k9CTBPPSDhVT2mElw9GhpIPddBTz0L2Vg9FsNAPQ+PNz2ZGj49wbY5PRnqKD26Ajg93rM+PaOfNz0ncTI96ZInPbcRID2LlCs9Z1ExPT8nLj2WHDo9/uYyPSyTFT35xB49fpcePXy4Iz24Biw9CIEtPcPEHz0+GRs9SykfPckjIz1uHSY9QX8cPbyRCz3tcAg98mcHPVwjBT3/UwM9P2bpPA9W8Tx+AiQ9LhMwPaPbmTy6lpA8YQF/PJ1pYTyzuW48t6haPYPMoz3xUWE9zIvuPeqxST414kA+nd4rPnfjJj6qeSo+MZMsPj4sRz7z10Q+HAM3PuQwMT7tuS0+bXswPu0ALz6FTCk++powPvgPHz42HyA+Khs3PjILRz5t1Uc+o/hWPqRsZT6zVVw+3dJOPh1OQj4GDkQ+82BIPsVcQz4p3Tc+dZRMPpbKUD49R04+xXtVPlYxVT55gjs+v65PPlYwUT6kzVk+q8RcPjn+Uj68GVQ+lAU+Pn4kRj5nzjs+AeYpPjBCXD6Zplg+EQgxPg56YD4BjlE+sqxWPmG1Wj5UOVA+lmw3Pu/OPD5jlDM+skU6PgJvST5o4jk+teA8PpENVD4C81c+ZtRFPjUFQj58JUs+SMw+PjwcRD61AUI+hTozPi75KT6rjzw+BXRLPuM+Pj6ABzo+5u03Pgk/Lz7IkTg+bJA5PtDuKD6c5yQ+Rdc0PkgAXz57z0c+FBYsPhoqJj4liy8+FkIwPhMyLj5Q90E+ViFUPowBRD6VDCw+cakkPtzhQT6t6kU+4JJaPs51Zz7hU0U+Sm42PtwwQD4RaDI+2WYxPs6WJz44Tjk+ElhDPjgiOT79SzM+IfQsPpnMJj7fjy0+MUhGPl2vQz4EXUQ+WvE8PoLCOj7NPi0+rbkqPm7BLT7hRio+bl4zPl7/ND6YuCw+0p87PlraNj4pryo+FsogPm0wIT7bdCk+2g48Pib9OT7xDDc+7Lg1Ph2RPj55RDw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9/Tcs9vrplPdR2ND1oPkY9SplJPQq8Wj3XXDU9LMgnPdx6Mj3K4jk9D01MPdsJTD03JUk9tyNHPRX3PD3H5zY9ovY1PdScPT1KyVw9UFxRPR7kVj1Cx2U98k5aPdDnRD1kLlA9w3pmPd7ffz2HEXo9bdZ8PYljZz1s1U89DRY2PdHnNj3m7TM9URY6PcZ+Nj3i5z4974NCPXm6UD3H71w9OxBBPRH3Nj0gbiA9aVclPTGJNT0sXzk9u/cxPe0lLz1QpDE9uwc5PR8vLT2qpD49UdpBPfFYRT2BNE89ODk6PWhHMT0+LzY9jboyPTybLD3pECk9oyEpPZAuNz3xaEY9R4FIPTD+Oz1PJi096N07PQWFWj3Vqlk9XDhHPVH+Qj35w0w9kylUPU2HTz3wcVE9eixTPcjsPz2LFEI9ipdXPXe5XT2NPE49gBdDPUKRQT3AK0c9bgVFPYHQND2bxCk9Eec5PRviRT3rrj89xg0wPVj4PD2zaUc9NAM2PWY2QD0+dVU9M2NdPUrNWD1Ip149P12BPb2Tez3XBnA9Mo1yPe7TYD2p4E09wTJcPTAQXD3HZlk9RrBcPbOBXD2gCHU9ObdvPXtpYT3N3UA9JQNaPR0FgD2oZH09sqhsPX/ZUj2pWD09maNMPS+TXj0lEEk9yaQ9PUJwQj3xX0Y9YnA8PQsoRT1WYFA9Eh9qPbcZbD3ohVs9LA5gPY4zbT0Zsm49ZwtfPY8tXD06+089oFhEPXYWOj2MUDc9IBFIPdIhRz1vyT89Y1hYPTUfbD0keUo9F40yPTLuNT0pMTg9ddFMPREJWT2OOlg9DPhlPaLEfT04bn49bht+PQovgj2KPHw9y8R1PS3Jaj2kq2E9LsFYPeSHYj1c12Y97CRNPQD1OD0yrUc93c5VPavLQD3i2jk9Q042PUnOSD0zkz09FEdEPXdvSz0WJF09JLlWPcocaT35GHY9v9xoPfo3ZD0QF149CDFaPSElWD3q7lQ9N4pcPWRCXD0MgUA9srkrPeL9Mj0PKUE95YJLPTfJRz0Y8C49rvwnPWw1Lz0L8ic95PsvPfQBMz1JkTQ9VX0tPSW0MT1IJ0M9tYg1PUR7JT0quk09HxgzPVetHT1EZRg9c9gSPdiQHT3r+Rs9BcoVPWL2Gj2jhh89ODgVPf4xEz3Nggc90EYDPf9T9jwqhNo82CbOPAVWyDyT6cQ8YUYZPWRi9T0ErDE+DPkSPuIKRj2ln848gE3sPPhNID0K4U49L0TAPUgzNj5WnUs+rFMmPqM2JD5tYSk+DZ4gPjDcIj4Ulxc+PfAhPpg0QT4NjEc+LmI8Pn+sJz4UrSY+paA6PiYiTT78dD4+HGU2Pi4LHj63XRw+wEY5PqZcOj4r12E+BPtfPkJMVj6nGUg+EaRHPurCTT4Iplo+gUFBPns2YT7OW1Y+bSVLPkBzST5w8ko+aWJ+Pj/vmj771HA+W1ozPj/USD7tm0k+EuBMPp+MRj7EkWs+cG1iPr8KPD5znko+HmxHPguwYz6oiH4+sdJGPt8NTD7gelk+/h1YPsKrej4nYkA++uYpPqpkRj6+lis+KCczPvS9Tz59GT4+xv1IPsSeQT6c7UA+I3xKPrlDRz5E6j8+mJMtPvsKOz7HqEc+GKc/PpC0NT5srUA+EjFEPkr4PT598SU+enMdPo1ZKz4YEDw+qJc4PlwxLT4Z1Sk+G6o7PtnPND6uHik+hwU2PnXAOD72HCc+c3AnPqZgMD7hhlc+3ps6PsgwND7QkRs+tWkmPvyENz7DnVQ+PjlEPlr7KT7zyjk+b7lLPn4pPz48JDs+VistPp3HHj64CSM+iYdWPn3cbj7gC0U+orc1PndTRD43uzg+CmsjPmFeMD5Rii0+pD85PprzMj6RUBs+NNQjPqK0QT4ZHSo+tEQ2PvMwOz7oFDw+sdU1Pl8+Mz71QDI+5mwTPizmFD7eTSA+1x8aPoTSID5ZBSU+L6MiPtYYMT51XTA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8wOKg9QJllPWdvRT2fXT49CkxDPbqzJz1qHiY95WcrPYpIND1qN0I9hHpVPQYOSD3ub0M99aJMPXhqRj1t5Do9wRw2Pfi+NT0Frlg9oktqPSarWj08oFE9kilEPTlYRT24mFw9bptkPWlWdz2EyXc9h3FgPUWZNj3RRzg9Q9pEPZhjRD3EqUM9GmU9PXJBQT1JtkE9ndtEPT2wOT2JjEM9xNc+PUdMQD2b/UU9kJM9PUbMTj1hhkw9KFEzPbf3Yz3GGmo9AKtCPfGqQD067EI9T383PcyHJj0qOB49E+wxPQEiNz27MSU9ztYhPdjuHT2v2CQ9yNg0PXfmOz2xwjI9i+g3PRaoRj1Hkkg9RwxGPdBiSz2ba0U9rPk+PWFbaz2QcnY9f9p1PU37Wj3xIDc9ymQ9PY+hQT1qe0M9yi5NPT2wST0cskQ9E1RMPRXWUz0tOkU90AROPX7tQD3vmDk9zLc1Pbz2Kj2UAzM9wghPPaUeWj3gG1k9JqFOPWBxTz0xSVY9uUtcPQHHXT0oynE9qAuBPQ1pbj2GMXI9Vxh5PT7Acz3gU3Q9bY9oPZ+1XD2I72o9qstyPStxYz3lsVo9J+JaPSREWz0OokI97npiPSqQbz0OoVw9cWtHPd6XRD3UUEA9EXBCPYuVPT0JwTg9AuQ1Pa+lMD0HAks9GoFWPayrUD0rdG89EeaJPcucbj3caHk9Y5tvPS3rYj2q2UA9G2MwPdlNOz3dgTY91lI0PfiNQD12SkI9aZtOPfYZUj2nf0E9LgRBPWBKPj0RrUc96fFEPVN8Qj0RQFQ9JQZRPdhlVT15cWQ9FLdyPQxggT0vgYI9lGeBPUHlcT0NUGs9kPRrPcaUYz0ozWE9bo1GPfiyRz3G4009iukzPR32Mz2/9Eo9QXVIPRvFND2t0jM9F21APfiGRD2GBEQ9E8ROPXbLVz1hsGU9WOdmPcwbWD2tSWc9AJ1yPbfVYD1IeW89fmtePZjjVD3k/Dg97CQzPaXANj0WOCs9QqAyPY6FOz2tfD89ZOBCPZFmTT266EM9/Co6PYNpKz3+aiY91wgsPX7JJz1ubyI9hhccPbJKGD1rcSY98hYnPeVAJT10Syk92IUaPZWjDj1Pqw49BEkNPZyjBj3OQfw8CSP4PHygEz1gwlA9CD4zPQYMAD1ma+c8dLC8PMJ1qDwUgbg8J/zOPHQjCD24MZ89oNPLPee3hT5ia40+UdJiPm9bHT5x/Bk+7U4aPhxZJj6I/C0++IA5PgZPJj4QFhw+W8saPnLSGT4OYBc+VMcfPpHhJD6OgCI+zKZDPloxRj7ub0g+uthFPnpvKz6oBSE+fHNYPk+/gD4kmEQ+/gE5PqUnOT4+Hhs+WoIrPp/9NT6a/kk+Fok+PhdUSD7gRVM+iRFcPuBQWT6Yk3Q+eeRZPky9Zz5GE18+mKRZPrATTz5oVmA+cE6PPs+MhD6G7C0+RdIrPvqvPz7LgEw+Gn1OPv5GWz6si0U+xGlWPkR4QD5d3SU+zJs0Pp3XUj6swGY+oGRIPry7Oj7WNFA+0p9DPhj5cD5YtFY+9Ds9PgGPUT777lk+x1NIPoldQz6PYjI+hSQ5PsXTMz63rjU+FsRMPm2MVD7sh0A+EO9CPju/QD5dD0U+wXYwPrLCMj4tnT4+pagyPnokMz4FXyk+xZgpPhjxRD4JwUA+Czs4PudNMj5hqCY+UY0sPokuRD7sfjs+an5DPvtpUD5RwUA+WH5BPhZTSD6wsUI+GFcpPuYHKD4B7i4+ThFGPo+bOz5HUEA+VL5BPlRuHz5fx0c+7mNFPolpKT6FWSY+MmIkPtCqJj4iYy0+6AwvPmEQPz5A6oY+tOFGPgb0JT618yA+zvwdPkH5MT7gHi8+X94qPut3KD7ywRY+SxwmPkaNMz6F2ig+gKM8Pt/YPD5+1yI+oMQrPr7+Sj4nPEs+4+ogPhX4Fj6iFx8+qwYtPvtjLT6E+CE+vcwdPiuFHz4QgDA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9whg4+q72PPcTVUD1kKDk9p64uPa4gIT0Y0yg9eXc3PRyJUT278lE9BfJKPYBwPj10kzo9cUNNPWFHcD3gfFk95wlEPZhGQT1YtlU9nahhPV/eSj1bG1Q9XCBjPVHYZz13CnE9ZKhuPcEnYz0VTlQ9Q6BJPc2vUD3NS2k9IfdiPVAANz1GqDs9Wsw4PapJOz2g+Dk9XdgzPVeXQD3IaD89EhVLPZW6Uj1cy0g99T9JPb3yPD381Eg9cvpkPTkbcD009WI9VJZFPS+KMj1EezA9N4UjPVzBKT2Hdys9dk45PZGaPD12yCI9MBoaPXOsKT2jfzM9t45DPd98RT1Kejg9N0dDPYsoSD0L90o9Uoo/PfVSRT1J1VQ9rhdbPVgJXD00+Xo9MKdsPfzjPT0ILiw9P1EjPSpaJT2cu0U9McBXPTbmWT06dGo9lC1kPa7FQD1BQT49mEBAPaDjOD0ujig9pVk8PX2yVT3RPUg9wrtFPVwyTD3B9lU9VFJNPTeDUD13+lM9+FtjPSkxYz2U1Ww9nDBtPdLShz0qn4A9PEJbPU83RD0CjUs9IuJcPW4FZT13Ymw9jYN9PdcdfD3B9GQ9IVRXPYULTz2wrF89xWJhPRPiPT0muEE961NGPdK7PT2w0Sk9uLQgPW0/Hj0Wdiw9Gr8wPXn9PT0vEmM93I1yPXU3Zj3APoA9fe5/Pc5Pdj231WQ98sRKPUzsQT10ND49/I5IPRfDRj1sGjM94x43PXglRT37wz898DE6PYf4Oz3S+DY9TIM6PZkwOT2EqVE9vJ5MPa1SSz0dcVs9Pt5tPXMucz3kCoA9Bx9tPXFXYz3n/l49xgFvPT6HgT0DE3c9kBZXPW6ySj2dFUU9jh9LPTnKWD2iglQ9rgxCPYwHOT0XN0M9Sno/PXBDNj0Uazs9vVA+PXbcQT0sQ1I9fqJXPZP1VD3T70Y9hh9KPZw0VD13Vm49Eip/Paobfz2vR209kNZXPeZxQD0njSI976AaPQynJD31fzQ96dY8PVr2Rz1yIUc9JNdLPViBQT1kmzA9NqUlPaoHKz3tqyI9ThAaPeDjHj0dahQ96y8pPTmKOj1vvDY9PXUjPc6EFT1zriA9kihgPQIaPD2pvgs972sRPVOuDj1MuhY91eoRPXytEj2EjYE9K3x9PVmAAD1iyLo8xfGSPBbQjDzjLKU86EMhPWPsmz3CXlY+RzNWPknwMj7hzCU+mtsvPiMOJD6hOkE+3TU7PpvTNT6OfCc+BnonPgkqHT7MuSA+I6IqPkMeLj7EyyQ+Ax0vPpc6NT4BRGU+93RnPnA2Vj4vs2k+/xBYPpfCQz4Ci0w+d9RKPsPlTj6uK0Q+XLpIPu1qOj5nFzQ+QZs+PrZzTj5KUEo+Kd1GPuQgZT6dcYI+4i9oPqvcRj7QTWw+l6hzPtfHTD42/08+svVPPvhgOD7CXkM+3IdJPkK+Pj516kM+dBxHPn0jVz58Flw+sKJUPlOPOj5wDjY+G8tFPgK2ST4sPB8+UlkmPnJ/Oj7hel4+mvA0PutyLT4eKUI+8n5MPi1BWD7mw1U+SEtDPgJFPD7vcks+2qhEPr2CMT6zKC4+IVwxPvoQLT6TKz0++DNHPlyuOT52tzQ+npUzPnqcND7ZEzM+c/M0Poq3Rj4HLUg+EEA8Pkn5QD6fjiU+1iU1PkJ0RT7BUi0+qaYkPjp2Mz442SY+p1MbPulRMT7n6k8+YOw3Pv/ZRT7UzU0+AjtpPoBEQz5g3DU+MsouPpS5KT54GBc+pvwaPhNANz78mk8+pahHPjYyOT6CPTI+n7IjPtxwHz4+CjU+ZphPPo73MD6+sik+D6IjPldjLD4C9Sw+9QQmPhXLLj6QHyE+RcIpPiERIz5NERk+eC0oPn1tLj4BAyk+pHEqPpdYJj6TKiA+YBkjPqw0ND4UQi4+HfYsPjWYNz4JmTk+Qdg1PnsTOj7MDzI++vUqPuB2Jz7WPSY+nEAhPv5cIz47Oiw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/lWvU9oS+RPQDQST3lpjc98eUvPWYFLj0JSSk9/jYtPYg/Nj2drjg9eE5dPaBJTD00fVc9QpSJPQ+ujz0g9Fo9Tp9VPe6wdj3fgXQ9BQF9PQebZz0o9Hk9I5lWPZeMUz3lzD89Hs46PRtOWz1SZGE9OxJbPSgkZz1Lglo9lk87Pc1UMj0JsD89jhVHPf2qQz29z0U9pIBEPburTT1MWUI9vh5DPbQeQD3REDI9Tx0oPbE4OD3t+ko9ZK1RPcYGSj3cs1M9uXY+PdWzTT3+IkE9kEouPdsHJj1ppS097tcwPVLcKT2XoCY9G/MlPeP4LD1yHDk9QIVIPR07Oj2FI0U9jG1VPbeQUz34LE892MFRPfAaTD2iPUo9mzVNPd+JUz0Jd1I9M0dAPZJELj1p9S09vTxEPbgcTD28t2Y91oFqPVRebD2Ty2E9771PPQhaSz1CcT49oL4zPTqhMD22kj891DZGPV05Sz31/D09nkVFPQbQRT28QUY9CdxQPdeuUj0MV3c9UddxPSnZcj3a6G89yoBYPZnwSz3QhEg9jztfPSVRVz2s4Gs9WEyGPat9jD0cA4I945R7PfBSbj1NuVY9JkhaPRWyXD2mkmM9CEVTPcYoQT1y8Ss9ZDYmPcnMJj34iCk9Ci4ZPds2KT2Yeis9b0UzPQjFTz1CumM9Eph2Pf9ggz3cnn49zpxUPRsFSz2P0Ds9DVkzPTGFND1T+j89k3JGPX4lTD23gEM9D+9GPerUSz30R1A9xf1RPRhIOD2ztjY9zJBEPQU7Tz0V81I9xFNQPSZaVD2N/GA9SDJfPccvdj2ArIc9LCB0PX0bYj3LxXY9/ulqPcEHUT3j/EE92W0yPcvaPT1WK0o9n0VVPdTyWj14A1M9vk1IPRI0Uj0NLk09fW5BPec9Uj3BAGg9G0ZePZqdTD3wdE89itZKPYP4SD2W9Uk9RWxIPbEAVD0bwWQ9TK5hPWUNUT1vikQ9/u4tPfYtJD30Bys9oB4vPeeGRT3QFVE9T9tLPbUWRD1wiT89LDY8PTMqLD2yKRc9QCMZPUBZEj0vkRs9v/YhPXDGID2DaCc9pqAkPdmHJz1dtyY9eAAePaGAHT2BWys9VAChPXCsgj1zZCI9LOolPXDVvj31YxQ+YDnuPd95nz31Sio9XT8XPWh/6zwHxsc8E9vZPLZ8FT3+c0M9wayZPf/JCz5Ez0Q+VVcjPmooIz4IzSg+SaMsPiyDLz7kji8+2fM0PjJrRj7rRis+V4gvPrKOMz4cIyw+U8kuPmFgMT77VzY+PbEvPtGWNT4etno+d29vPuTdaj4YA4g+E3p4PgseWT5QDk8+tRhbPnWgKz6uq0w+O3dGPgfNTT5A72Q+crFsPhfCdT6kFWU+9qlXPvfDQj5HEVg+EklmPnJvXz4PY5I+T0+XPpaWbT7lmzI+fXYxPk6rOz4fwzk+EwA1PlLoMD7oekA+Hf5ZPl9TSz6qj0M+kCpBPgC5OD4qcjs+li1HPoecUD5E1kY+J1g3PosHPT5aN08+sF1KPn/GQj5PO00+eeZNPiR0Sz57O00+8vtAPu3vQj6F600+2Z5EPpoyNj5380A+D0g4Ph+AOj6kjzk+5N48PrN8Mj4ybzE+ZQQpPlxBMz5WoTw+r2k6PlOcSD4MYU0+ZRxAPlafQT4Fah4+B5wpPr3tOT5CcDg+1201PoN3MT6gQTY+0lw0PgE5Rz7OOk0+0dFDPlAYQD7ffC8+KTtBPvoxKT4Oeys+6r4/Pi/aMD5gLSY+M9wcPv2mJD7ITCU+lZFIPmMoND4lvzA+4R0yPnzsKj7tejM+I3oyPtUZKj7Rmyg+74IqPq/MKz4eWic+30wsPtgaMj4yhhA+1fUlPpcUKT6u7SU+e1cuPmRvJT6oTiU+RDcsPmBjVj6LiTs+MucsPkA+Kj5QJSM+PBkhPgd2Kj4eGTo+EYBFPhIOPz43ijk+6XgwPsuPLT73XSg+sP4iPtVTJT4KZTQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/zhaY94qOCPUfpSj15uD091LxIPcVdQD0GCD89g49VPcBqST3c10o9g2RhPeHmdj1ksm09MRGGPc2ziz2jg209fA5oPf1Xgj3UHYA9XL18Pbp/YD3iUEs925pOPTydTz3t8lA9uD1MPc/xaD3tSFM9WGZLPZGTSD1eJU89JKFBPcO3Qz1aDF09RJZqPTfpZj1GM109uvtDPay6WT3Zqmo9/KBgPSZbRz2FGTA9XmMyPSSTQD259mY9v8JfPfWGWT0N2EA9d1JAPWqPOT34pSU91/kkPQ2kDj1Qaw49XEAmPa6hPj0Lcz09wIgzPWxgLj2xckA9xRhBPW9QSD2u9FI9vqJZPbQ+Vj0eR0496vZSPT0lXD0OVEs914EzPWAlKD0+gCQ9AF81PY0SQz3m1Uo9IXNTPY61Zj2JnGU9Sw5PPcjUST3wx1M94qVVPXSSVz3CPkw9huxKPWoQWD0qC1s9MI5OPeiqTz1YjGA9cIFQPSWhSz0Kzk49OKhWPfblaz12s4M9DHOHPX8AaD1l0Us9oFtBPYKSQz2w6WE9ehx8PXpWcz3qsXg9n2+DPZNIdz0aaGo9cstWPQWTVj2kAk49xZtMPUi1QT12zzU9/m4sPaJFHj3ryRU9N4cNPSMSEj3+oCA9gz0mPWCXOz3YskI9lQ9DPQQrRj0nOmM90Kp5PXztVz2JPzY9fU81PdrLQD08IEM9aOo4PaPFND0bjUY9UDtRPU6bQz25ok896LFIPa0MQT0IHEA9jvM/PerdRD0YjVA90DRXPSs2Zz3XTWg9cAxkPTQoVj0L91w9vcFaPbbXXT1Y3HA9kTZaPZRaYT1sfmU9v7tQPSDCRD1mwD89pllNPcX6RD1PEWQ9BFtePdL7Tj1GpDk9DRtBPRJMST2Fv0M9y1dRPY1IZT2HHnc9xURyPVUAYj1ceWM9aHhcPTnVPz2n5UU9yipSPXeKST34z0g9FXVLPfTLRj3e9jk9c+UvPVjZLj0gCzU9+/s5PTE4RD2v/kQ9TakyPdFmIz2LKBc99aEPPX2fFD0XChQ9uFYUPXsUET0d5BM9rlAVPTcvGj1QLxw9tT8QPXNxDz0MxBc9BT8lPY6IGj1PShA9icQaPf6rDT1JVg09kpYoPYZrjj2dF/49ofccPgGi/z0CJew9kwERPqxOHz7JZSA+R9EdPl9JKj7OlS8+sA4jPlCsHT5/gR0+39YfPtTPID4+cCs+GPgoPidVLD7MPC8+/cEpPrLVMD7PhC4+C60sPujANz5JQi4+XlMrPjIVNz6YfDM+Wz4uPmT0NT73I1M+BnlKPvcuSD5wM18+c75IPt3NQD4IkFM+k4hqPvdrSz7430Y+wYVaPt4yeT5OXoo+6rGWPg1ydj7jcE4+RcRCPkjiPz4hRk0+zGFYPoSvaT7YOXU+bH6IPrJgkj7VGlM+6k1JPgJ1Oz7maTY+q7s4PihiQz6avl0+wGlGPqmoSz4sb0o+wUpKPqO9Sj6jQEE+eNJDPgSTQj47A0M+EF1CPqe2OD4VnUw+Z4ZFPv9PPT5IGD8+Z8NGPoxVRz7do08+/69bPmKUUz6ysUU+4xU6PvNfQz5tokg+XY5OPjJsST50iz8+2LAxPgw5Qj7PHT0+m1Q3PnG4Mj7MNio+2z1BPss3ST5Syk8+BylJPr7rOD5PKD8+0AArPia3JT4J4Tc+AGA3PhwtJT4m+yM+pC04PucXRz5PWD8+iNtEPqgjPz67dS4+NIgWPmJ1Ij6qbik+T244Pll1NT7N5Sg+3GglPmqQJT760SI+P8hAPomHJj410iY+DbgzPnjIIz7KTCk+3/kkPgMlKD4a4DQ+yKU6PiPAKD5bVjI+Nq8zPnzwND4n9C4+PosVPpEXIT7h1jE+X3MxPlN7Hz4Gsyw+9wtVPnPUOT4XiCw+hClAPth+MT5xWiY+Lb80Pp5gPD6eFkA+Vr0sPvfPJT4Jqjs+/6wwPnTtOD4gnjs+vU86PijKPT6U9iw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8dNqk9bTeAPc+uTT1hTEc9U2hLPUbiUz2uRWo9y/9hPRd2Xz2i+ng9WCV7PaiKgz3LAoE9m0l7PTAFgT1DsHc9vXJcPQH7Yj3poFs9r4BOPUqDWD3Zo1g9v2pLPdRMPD0mbDk9wY89Pe4hVz3IDlE9PlhWPYoFZT1dHHE9dQ90PX6+ej3PxGg9HEFfPSgfcz06wnE9gQhuPdE6bD0fXUo9jnBGPZ+kPz0Jcjg95/83PR/QRj2rGkU97TlQPb+7XD0yP0s92RVDPf3vOD3x+iw9zcUtPeotJD2VOB898iIhPRxgOz0Yykg9UKY/PUuNOD0/Dzo9PhpIPWdrUT1salY9e5lwPRdndT0ej1o9r45APaajOz36Fyw9R6UmPVgyKz1GBjc9BsQzPQbFPj3uFjs9Tx1EPUizUj2XtE49dJtaPXznaT0GT1Q9DzZOPZmBQj36jkI9keZIPVVuTT2v10s9GTFNPdw+UD3kMFs9CQVfPUOaZT2ke149JRljPXfedz3og3Y9RgtSPVyYTT0Zm049m2U9PcsNUz3aZmE9j01xPfy6eD1ER4I9JjuBPaD+jD31x5Y9WvqUPZFddz01fl09LkhTPVgyOT34+Co9MV8qPZhkLj0b0ys9j0kjPVOhKj0Wnjc9m9kyPfBJOT0ZPz89+DhHPf0uST0EQ1A9yrBmPXs7Vj3MOzk9RqREPV9SQz3TBko9SDVMPTu+Tj2Wnlg9QeNVPdbnSz2ZgU89ppZOPUs9SD0mEkg9qopQPUrSWT1xkVM9kx5UPaS9YT1VKV49mX5kPb0dWz2svV09r+9iPTXeWz0sxmM9GtJfPY3rXD37tmQ9zM5qPUEmUz1SG0s91gxJPTeQNj3qXzI9Kds+PUr7PD3KWTg9gbM/PZP5QT3iTEM9qu1UPdedaT19E4s9tciQPfcUgD1zxEM90go4PRXEQz1/alY9yO9RPWnoQz12uD090tcwPYOCKD2M8CM9lXEmPWghIz27hDI9bSZDPaY+Pj2MiSk9LjUNPfrNCz3KUg899iQXPT2vHT29dhs9+ZUYPXbDGj0fqxo9tKEXPfabID1FIhE957YNPTOgEz0FeBo9AscgPWd6Iz0moRg9ajoCPeHc7zyKBBU9xLskPUCRMD2MsCg9PhwPPax4VT3WXfc93y4ePvzfJj5hUi8+iRYlPtidGT6CaSY+UgApPqlRGz7QBx4+GGknPhEzMj4EdjY+Rx0uPoZONz49XUE+/5k1PsnQKz7yVi8+kpExPi1yND7/wjk+ZjM9PkggPj4bOi0+xvJAPi0ZPz5YdEo+RTFfPpJWaD7YfF8+eOdpPsBaVT46NWQ+MONfPg69UT6WUFs+eW03Pu2xSz4sLX0+b6tgPitmMD4uCTw+NtAxPmHyMj6arCc+2xhSPtP8TD42LTc+DsU/Pp4rVD7cwkk+S+hOPu2rST7rM04+krBDPsC8Vz4Ly1U+fJRAPiRdPT7KokY+d35HPi3KRT7JITg+ghw1Pn23TD7RZEA+JoU1PoY3Nj4zsj4+eKo7PrH3OT44CDw+zaBGPh0QVT5WNUU+2BdFPlKBQD5etT0+iSJBPiS0MT4p/zk+Fp5EPiKpPz4JgDk+FjBBPkfBQz5k3zY+MIc2PtoENz72qUc+O1A8PnSiPz6sZU4+IPQ+Poq8TD4IJWM+RNpKPtNJLT5v5jI+YBo8Pj4DLj4PQDo+ES42Pn0iSD5XQ1Q+z10zPmSMJj4KCDI+4p8kPibRJD6/cSM+cQ4rPpLEMj5zfCI+O88sPhbxNT4UHjI+6YAsPonyOT5ErzE+lmMwPrUAHD5WHB8+7pwzPkb5Nz72NSs+cwsoPphLHj6I2CA+n3ItPo77Kz6FUiQ+Yz4fPiyKIj5ILCY+ZZUaPjCxKD6HjW8+hd1jPnjIHj4Txys+pbYsPv6/Kj69yzM+aeUtPuORMj5hly0+0g0ePkKCIT5HjiU+yZoiPg9IID6grRc+nLsvPtzxRz6nxjU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9z1tI9f1ORPe+nYj1qnG49xt9gPTLZez3z/n89rA5uPXGFgD3/eoo9+AiFPWEHhD0UTpE9QhuVPZwYgD0B0Xg9nU1XPUHCXz0dTms9zSRbPfNkaT1X41s9Sq80PSc9Mz3emjE9bAg9PUL1Rz1yt1g960d3PQx2lT0Sa4I94DRsPRtwaD23Q1g9LpFhPQvkYD3n3Vc9x285PZOMLz2nhTM9oU89PREKMz3WaTE9Hho9Pe5DSz3Y2Ew916ZAPRrFSj0GCEU9PWE5PXH4Lj32Eh89KGUfPUUTLT0dhi89GL8wPXYJNj3gjy89H44xPWi0ND3mxEE91JFbPVCwfD2vEIg9Mid7Pd61UT21djU9PvQxPSfXLj1mfDg9GAAsPf4tLz1k9kQ9EVVDPWzxUT1P31g9cMNOPc86VD39WFg9XZJZPRYNWj3+JEw9jnw2PewNOT0VXEs9NVhYPYmMUj0Bul09zph0PS6bWz2vU2Y94jl3PUEpZD29UGw9na1+Pc6zaj2IN2Y9A1piPcc4ZD3DDmg9JJBwPbzseD2lcYc9xfaOPaNgjj0LWYY9fJqIPSuOkT1mvpw9nmOCPW5hUD1za0U9IhI/PQgZKj3ClzU9SKlCPRmgMj2oWzM9XyAvPbP1IT3MXS09drw4PRXHTD2FxkU9bqtPPS9GUj0raVk9KJlUPalYSz3VLUo9AFVLPSsLXz0ZOFY944NKPWR+Zj144HM9bT1tPS4WVD1vEj89L6BJPTAJTz15nkQ9w59OPafxTz05kVs93fdmPafcZD0LA2492wN9PSjbfj1YbWs9EYhXPSw6VT0ZAFY9fBBLPUlPQD1jLU496PtdPRSPQD174C09FXI0PVXKOj1tJ0M9fRBEPZa9ST1RSUQ9LR1HPf2cQD1La0k9/ARgPa+3hD2ZEYU978FtPWNoUT3xAD0965c8PXrPQD09vFc9GQFbPV90Rz1bWjM94u0wPR8KKD2aziI902kmPcfyID16XiI99KwgPVXJGj39ohQ90D8FPWzTCD0nVgk9cTgUPcW4Fz2f9ho9XBgXPWc8FT2V8w89ExwSPdBNBz2nQRI9Pp5HPcJVMT0dnxs9OspCPfl7aD2NESw9QS0gPesEFj2uxkk982tXPcisAz1zXBE98LW1PKXAJj1EFPc9cHMnPrwJJj5bDC0+s14oPtq8KT5glyo+T/kqPhVRID717SM+DMg3Pi+bQD6Nn0g+7VQzPt6TLT7jOko+u7I+PlggQz4lwUk+BOhJPoQqSD6k8Tg+hodCPsRoKj6tSB0+lew3Pp+TVT4xf2I+SjFVPotGSj4hhVU+cON2Pio8fD66CXA+YeFtPiSobT7cSVo+iOIxPlurPz4pGEU+Wd89Pjy6gj4Q8Wc+mvxHPtVhTD7mTDs+eRJWPj4JSz4sgT0+7NhDPiHVSj4e+Tw+bqU8PsihRT7ZMUQ+4VVFPt9tPT7OVzo+SNM6PvzsPD4QUUI++vRHPu2oSD6IVz8+MrI9Pv4LOj7nPEg+G39HPqq+QD6h+Ek+wpFRPnuvUT74njY+A80+PuvYQz5JkDg+FPI8PjP/OD5cnzc+x+1EPsZRPz6WIEg+u0o5PtOjRT5VU0Q+mHVLPjVXVD47Qz0+sdFFPkz9Tz5gKlA+lg47Pjz/TT5LQ0k+fNlUPniDWD7DOkk+G3AxPuf2Nz48KzM+sVA7Pvg1Nz6hYjY+Vt47Pu9GWD6IjFE+7IcyPk8vJz5+MU4+YugwPjk8KT5ofyk+AXMuPkQRMz78oDI+raAmPl3HIz6K1Rw+bpoqPg6AMj7m7Sg+bskoPh/dLj6aKyQ+vYAnPiZJJD7nCyY+R6gnPlVFKD4Qdio+duMrPt24Iz5VRR0+fXYjPkFRLj6gBDM+/gQtPrEJNT4sPUU+yLwwPk5pKT6PxSQ+ubYkPj99Ij7bfy4+seAbPnYkGj69ASk+pdAqPpwAIj6Zuio+AhI2PsKdLT67PB4+GnIUPn1JED5TORY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9nKrs9cGqMPZ+KaD03Fmc9wnlrPWAXaT0Ya2Q9NOZxPYF2fT0/foo96ReEPWTpfT0yGHc9D/JWPW82Tj2uw0k9QpVJPTTiRz0KzVQ9Q95bPTBtSj1ZV0I9pmpCPUGURD0FDz49BUw/PfZwXT2uRYE9bueCPevvcj0XfWI9G6ldPdlrST3vHz490E9FPc4pPT1i6DE90rotPfe2Hj2CtDY9HPs7Ped9Pz37OVg9vaVbPcL/Rz0dYjY9yX4vPbHQRD2HlUM9QNgyPeyWLz2WRTU9eJpCPd5hTT3DMjM9aCU7PZeHNj011CU9xA4sPasJTz3wAFU9FspcPWBKez1M+WA9zZ5EPWz5Nj13LkM9NktMPSuZSj12DDo9L/c6PfI0Rz0xulk9VhhfPUO2bD0v71g9UWhSPaGLUj38S0s9dVVBPWkXPD1dnjo97MY/Pb/JSD1czFE9H35SPS4pRz3lDUs9/ntXPWo+XD32VVU91d1lPX2/Vz05kFg9K1FUPb7BQT2/j009QRFuPVzaiD16L4k9cUN6PQsGjT1b6IE9urNvPWMdcD1Ha2Y9UM5oPQe0fz2be3A9rBJKPadlSj09j089xnQ7PUqIKT0U2y09zl00PfYQKT1tBys9t5E9PaZ9Oz32mD09ZFdDPeFtQz3dED09LNJLPdkwOz3PaiU9a3E5PVyjWD0tV1Q9+mFTPekwZD27IGs9dVViPRHeYz2tQF49XPFbPRbLVT3JyF49pdxQPcXXSj1Mo1w9DhxqPcg+az1kF3g9Q4+MPSY0dD2qxHU95xpoPVGrWz2hwGU9mKhYPcqfXT1cTl49G7pMPaW8TD2r/DY96XMqPbsAHj1SPx89+LgiPRU5Lj308Tc9AxU8PSdeRT1AYEw9Gj5kPRQpUD2NV049ROlVPQ/+aj3T9m098d5jPQI6ST0Cw0E9nDJOPUvBPT0fxFE9/5FkPbrGYT0O+089ayNDPbMiMj2YFS8939YnPeBaHj045yE9PqEXPYj1Bz2P+wQ9jY0EPeLLAj3c/wo9QnwcPXOPHT2gPh89GawdPey7ET2BLQk9+u8SPXMFDD0L2hM9mdkJPQKaAT0njBM9HqAkPViNHz1d0hI9rVFnPTXr0j2DkBk+9l/QPSsQdj0jSIo9mNLQPbFiDD4W9CM+2D8rPhfEIj6ryh4+ET0jPhvdJj4gZTU+OZkuPlVmNj4sdEk+w+lEPgQlOj6HIz8+cAU7PodDMD5bfCg+9Nk9PjIYZz4q2U0+SeBAPuRhRD4kLEQ+hq9CPmqgPj6UuU8+Q2k9Pj3TRT5vyE0+taJEPq7uPT6BbjQ+3bxSPr/djD6LenY+dLZVPpndYT4E9mQ+Jw1NPkOWQD4OKDI+GRBKPqjkgD7Bp3w+GNlKPvz4Uz7KCms+Tq51PtaHSz5QMUk+tiRQPo7RUT6rikU+JPA6PmNPWD726k4+RqM+PkasOz74qzw+Lw1EPr1sRj6idlQ+Ru5JPsXPOD6jLzo+NQk6Pp4EOj5ZHTQ+4iRHPs0LWT7/q0E+L0U+PqkoPz570zg+/Cc4Pi1iPD64gDo+WRs9Pi6NPT4YmDs+P+xCPr6aPj70pjs+D18xPmB8OD6arjs+PyY9PqGROT4/kDY+VLtLPqQ6Mj5bYC8+Cw04Ps2eQT7EYy8+C/0yPmlJTz4OXVw+DjI+PsWgPz6hnjQ+nx4uPliRIz4Dwyo+X0IqPoOxFz4xjx0+puFAPl7bQD65GC0+VY4sPt0XJT5oOyU+NHQhPrYoHT4oNy4+YNo0PvbGIj7vXB8+AlsWPoNHID5ALDc+kdg6Pkc3Kz5taSU+PswoPqbqKz4rWTA+Ie08Ps8eLz7iSCA+zwUvPjoqOD6qyDo+N00aPq5pJT7mYTA+824oPig1LT6sozE+C6gyPubCMD7RMD4++vVWPoUKPz6upCM+v0QjPqnmJD5rHTI+p08qPtxYIT4m0EM+lbFmPjJuVj6XLyw+HTAYPnLUFD6SBRU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/Bmf09TC+sPTlHYz24XXE9HW90Pb3Zcj1MA4Q9dBqMPUMilD3i1n09nC5oPcwRUD1VKz89pv5GPc8APT2h5Dc9qctRPeeQUD3i+EA9ajQ4PUSYRD2+mzY9BPo6PdjLSj3sUVY9Kd9MPSOrZz2LB4g9AslzPd9MVD3RYj89mVQ4PR01MD2ORTs9dihDPYjORT0EIjQ9VbE9PbegQz13F1o9o+dePf9lQj3QAS49BCgwPV4fRj1r00k9LWc/PfhgTD1zWks98Kc7PYd+Nj27jTk98n06Pb1nPz1kfUU9ziRNPZXwSj18gEg9WV5IPVQCZz0lU3Y9ZWR/PVbvZz3Q+EE9afNAPeqDQD2DH0c9ylZjPXHpWD22m189IcF1PSBAYT37gms9tLJvPTyVUz0cn1I9sMJjPSHvVD3E10I9XnREPRd1SD3p70Q9fE1NPUIIXD0tqlk9JdFTPW0URj3zY0k9T5RuPTtLcT08DFo9vWBfPZ/cTj3Jb0w91SVVPcnSXz3EtHg9mvSEPYoCkT2rvIs9rx1xPaM3az04+kw9V+Y6PQTyMj2V5ks9zRZzPd+rdz3vL1897GJJPaqhQj3XnUQ9v+5DPXLkQT0ziD49dNxBPQ1SRj0qaEE9ts8wPbhFTT1f/lQ9Kn86PfjWOz02sTU9RKg2PUZpMj0umDo9A4NKPZWGaT2rT3k9iCxtPWbkYT3RF3E997FePXT/Uj1fO1Q9+eRiPTQGWz1P+FQ9I8dYPRRzaj1BWXs9/893PRm0cj3uGGk9AipgPQZ9UT1+H1U9qyxiPW7raT3s+Yc96jZvPZEYQT0cvSs9fDUpPZ5YLz30Cyo9SaYlPXvmJT3tsio9yTUkPUGiMj1CKU49nI9cPRz/Rj2jZkg9agNCPYv+QT0oPFE9DJJpPUhLZT326mU9mctaPS+oVj1q8lQ96EtZPT2LUD23Nlo9hfRRPb3nST3fuDk938MoPWXALT24zSA9b5waPa9NFj0ZeA89hWIOPXhyHT3VJB89CMgePYNoIz0IWiA9SPsdPUHjHT19Vwk9jzkCPYERBD1HFAE92QEGPZ3IGT3ZCyE9nTUNPe6GUz2IlmI9sJ9LPSwgEz0T1O08h7IFPdQhND3pEnA9uCNEPkdGYz6QxSk+UgMjPkq1Fz6P2iI+2ucePmleGT6zLCM+cEMhPqFHJT7VU0g+jGlPPnsgOz7rsjY+SSo1Pil8ND7GjjQ+t5sxPm6nWz57CU8+8V9fPn/4bD5NRVM+soZTPoP7SD5Y5mM+NP9VPriZQz5B/lw+Upx2PoOraj4yAW8+aPRGPj1DLz6gvDI+uyk3PsJGVD4U12k+HBGGPjjnbD6XXl4+9DFEPvIbSj7gqj0+i59hPhKVjD6Pu0Y+RX8hPlkHRD6Od2I+tx2CPnNhYT5u9j4+QXE3PvteSD6tjUM+53c4Pu5aMT5wtVc+/0FCPqclMj4JyzE+6UQ3PpFYTj7NGEg+ySg7PnceIT7QFSk+yoQyPv50Hz7jzjA+Lcw/Puu7Tz5z/jo+dK0oPuNKLD5D3Ug+gQdFPrJ1Nj4/mT0+VUwyPn3ANj4Vszc+Z9U1PuiaPT4JUks+eWVBPnsHQD5akDs+0Rg2PjNoMT5FQjY+8n08PuEAOz6o1jA+o0AxPndxOD6g4Tk+VL4zPka0Oz4K6Sc+/hkrPpkLSz4Cqjw+1UkqPugvIz7tXS0+Pu5BPnqMJz6g9TA+EhEvPmg8LD4Cxyo+TpMmPtu4JD4MqzI+dEYkPgg9KD4KJS8+ejQ1PkRmIz4SnSU+NmQgPooKIT63oDc+pqxIPtMEHj7itCg+1p4zPvFUOD4zuSs+kz0yPii9Kj5E1iA+CQgtPv56LD7nUCc+aNA0PngrPT6kcDw+mmQ7PkOHKz68tS4+g4hEPs0oPj5A9z0+/C48Pk3dMz75bzU+AVo3PrgqQT751Ug+0ic/PgqWRz4JNTw+K/UiPkOiOD40vTA+/9kHPjoCDj5i5hQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+zbt49U6GpPRq8Xj2kWHY9JOKCPYDShD3YO4Y9xM10Pb9vYD2B5kw9QrVGPR73Rj3kukc9CcJTPblnWj1P8UQ9qv87PXbHPj1W8js9Irw8PTuIRj2TTz89CHpDPTlNUz0DblI90RxTPRRDaz28EG09YB9bPdknUT2wZTk9h/07PclBTz15E1M9otpvPZ4sbT2Uym09v/hRPYd7TT3tDkk9AdU6PZxsOD1edTg9G9E6PbHSQz1OiUE930BCPWHQPj1/oUE9GZNMPQp0RD0FikI93xw8PekJYT12lWs9hKRpPWyebT2/VXM9Ab1zPcJ8cz1nKm49tn1ZPak8PD3O2UE9ERRTPSzEcT141XI9CwdzPespbT1XhHE9P0B0PfXDZz21DmU9zxRVPSHgSj1XzEI9saVMPVTOTT0tflI9a0RIPReROD1NFEE9uKRNPStoaD0TYWk9kvNkPfNCUD3m7E49gsRQPQAcXj3NYWI9m4BcPUeYZz0h5l09WnqAPUW0hz1TnIE9UiSPPZJumT3yAI49kjNgPTSYST34h009COBKPbgnQj327l89L+dbPXu3Rj2WLzw928A7PXDrQD3rCEk9ZelCPSlfQj0KqEQ9Rsk/Pb3aSz1PpUE9hb5GPbeoZT2h9VE9bihAPdPtPz3ENjA9wnw2PSSbRD0AZlc9hcNnPblShT2hW289RTVpPdl/cD0Iw1c9mHlBPZn/RT2uT089NzNNPYqfWT0HzGA9zTt8PQmvgD3B0mU99+1VPT2YTD36SUs9LYtNPSQgTD2lIF09gBFvPZyAZT0vPUs9AgcyPVHUJj2otio9/tEoPSsuKT2/nxk9FEckPd23MT01aT09750+PQR7Pj1HHEA95M49PXu1OT26Cz89MbxJPb/VWT1FYGM9EbBYPcLhXT0aGFk9YfNbPWZxXz3KX1k9hlhHPaJyZD0Yk1Q9By06PUSfMz1ayCk9tCwsPWutLT1+cyw9sB8kPfFgJT0OGhg9nv0bPfJXLD28Gik9ww0gPXQ/Ij0Qlx89yM4VPUm8Cz3oegc9P87rPLPG2jyd79A8QPDpPBR5DD0XkBg95OBjPVBcuz2Ukr89Y4v+PRCwvj18xi89//VrPRU3jj1Q8wU+r7BLPtflKz6KTSM+rM0gPqzOID5R+iQ+YzcgPpDiIT5Wmyg+1sEuPtjxLz6aOlY+Fp42PpvxKD75TjU+hEsvPgSPKT4U7i4+b+9GPlFRSD43LVA+D7FhPt4KZz5wxn0+q+RlPpQvWz57UGY+jexEPk9FOD6fmTQ+te9APkE+VT7zfHI+/1hKPmTdPD7eyyY+vJMvPjBDNj46yDw+q5Y/PiQ7RT51mzc+/E8tPi+XQj7Cpjo+xghgPuoLbz69ZDI+/zQ6PrJ7JT6tpTA+a6l4PkwfWT4yFlE+X0pGPifyPT6yATc+5EkuPg9yOz5zJEo+q5BOPoVDNz4BXTY+1PstPltmMD7D1zI+HpQmPmwkHz4/Pic+y5kzPnDKQD5suyo+7pI8PjtmLz47YSw+w/AnPsXvNz7SRD8+owE1PiyINz4he0Q+D/MzPmzXOj7wMCc+C5EpPn0SMj742S8+DK5HPvPZPD46ZDU+28ItPviHLD4sgSk+TXAjPo6AKT7Dzic+lh8zPvBvQz52cz0+r5krPu4uKD6EpUw+E6pMPuGcSD7tSi4+5gkYPq5cJD6fBTM+dXM2PopwID5QAiU+3UYwPgU6Hz7TDyA+Rz8wPgAlLz4aNTY+lsUrPsSCNz5TKiw+G9YmPgtBLD60nzA+QE1EPpDvND5dPzg++9g3Pr71Iz6yQhc+i4JAPhxVOz7RyS0+tag8PtsgOj6waEA+LFcyPtLZLD434Bk+EuFYPlksbz4AtGo+MwtMPgovKT6Y/0U+aG1PPoOnRT4K41I+Zy0XPrNONj4VAS0+djwbPpEQMj53bEg+Io85PgNqHT4x6xA+RSwHPoveBz7J3xw+KJUMPj3QJj7ML18+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+lCMc9wMKaPecTWz1t2l89TC9vPTKafD0mvIY9KI5+PfqZZD2tV0M9Uq9CPVL4Rz3PJFU9QSFYPTEsUz0VVlA9+RBGPWKzPz3kUjM9hjRFPQbhST3yLFA9ga1gPX92Xj3RJ3A9yRxxPXUxYD14VVk9estVPaeUVT22iVc91Q5WPa0JZD2mF4I94ahuPUfnXD00tmY9wodQPWaOSz0FAUg9B9Y4PYpQQz1GVlc92UVOPYFYSj0Tr109UIFdPb/ZWj2dRGQ9wPxYPar9WD2znFo9fDZdPRbnaD3LUWk9qDyAPd4ceD20+Hg9mkZlPbyZRz3YCDY9pwo9PTz2Sj0gFVo9DF5nPZt7ZD3Zk2Y9QhRzPQOycj0SfFg9mydnPVBbXD14oj49h+g0PVlITj0x0VQ9blFePR8XeD1b8mw9RPRkPf05Xz3RJGY9Jv9UPSvWSj0XoFA9WyRCPT3vPD0nc1Q9mZppPaKFaj0QXHc9mRN2ParodD2+5n49xX6KPbTSiz0T0Hs91311PZHahj1a/G0949ZfPaQbUD2DYFw9juhwPcPDZT1+sFw97YdUPXLQSz1+t0M9Q104PaoyOD0vT0E9q7ZMPViHWj0krFU93PRLPcGtTD2bh2M90mNWPTkRVz3BgUU9JMo1PbRpPT0okEI9p3JaPZYSdT0r+Ho9bGB/PaPpZj1dulA9/qNEPYqnTj2mDkU9x5pGPQReTz2X5Vc93LFTPby1XD3UmnM9l192PdDdSz3/ET49FZUuPdtbMT3MsjE9D41FPeZOXj2+UF89EltPPUgBPz22ui09koctPWB9OD2CcTY9RkYxPSGRKj2XGx89sJovPSHPRD3+p0s9czpBPdDkND0z7Tg9N0w4PTxwOj1U30Q9sR5VPbhAXz3qt1A9kS9PPdc5ZT0oAmw9Mu1dPXYXVT0zIk09sUtAPRgGRD1nIzM96p4vPTrOLz0WmDw9Gy5FPT0XQj3kCjk9mbI1PcBqMD2pgCI931QePaYrLT00vT49A64+PdX2OD3nwik92y0XPQNVCj0qaf08Ps/uPNBI3Twxkv489ColPTMwOD29dlU97sDyPTxs0D1Ulqg9dUt5PdeXMD1AcQc+4oF3PunSUD5ZrS0+SromPuk4Gz50piU+inIpPhesNz5GwTo+8ecvPhmdNT6q3z8+6fIwPsTAKD6fJDo+6qdGPhThNT65ZDA+M9AhPvgEHD76VDc+D0goPsAtLj5vKlw+/D1oPi/BbT6u+20+yIhMPoTVUz6RZT0+8qIbPq1wOz6ovWE+lz1OPkxeQj4S+Us+tRU+PjZgMj61jDs+f7tEPrVUQD6roTk+eBxFPuT+OD644DI+48FAPuMwUj5P1WE+x/qPPl3XbT5FBic+8W9BPqVqSz51LkE+lVZOPpsxOz6U3DY+ru09Pnb1ND7AZDg+HAM7PlOnRT6FfEE+Q7pZPq3ETj5p1jw+KpU4PgTeQj7T/D0+7k0qPpW+Ij71lSI+74IbPuo6Kj5YDjM+XVY2PrGSOT5xIz8+3Yo8PmQ1ND4twTs+u/01PsMWLD4JdC8+sRgrPnWaOj7v8DU+Qt0pPufILT4qZz0+gek7Ps+2ND4IIDk+BP49Pv3lMT7O1yo+pA8yPn66Iz7MuyE+D4hOPprQVT7YhVA+yYdBPscqPT79qi8+NA8YPj24UD6000Y+GKs0PkNzKD7ljhg+/2JBPiZ4OT70mhs+5qsvPi4dOj58Gj8+snshPrcvMz4a5Ds+W2osPjXKIz4gByg+DP44PgEPMD5yays+ZJtEPopQIz4d7jc+lekzPl2TID5X/S0+aNk5Pl/yKT7dKys+Ge4yPg3UMT5+2js+z+k5PlvmIT6AHxk+U7c9PrFQTz5XcVg+AY9KPmJ0Lj6KgjA+v6IsPmCFLD6Tyy4+2V8XPirbHz4QyCM+OFwSPtRyEz7B/R0+C0wmPgs2Fz6nXRM+qaMCPqdr9T2jvQ0+RPf9PRSf7j3x0fw9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/cZNs9gdOjPcQCdz1i53Q9edxsPedBgz3PUIM93DdqPVf/VT2K2Ek9j6ZMPWcMaD0Fjno9O6hkPfAwbD1usGY9xG5MPdd5Rj17p089jXhuPR1uaj25j4M9y1eDPQ3ddD3WrmY9+FBNPaELVD2w1VE9SrVMPcfqSj3fEEM9tkk/PeaPOz1qHEI9irNEPeNLTT05q0g98/ZHPcWdQT2YQUc9+0lWPeWoYD27/1w9vTtZPVAGZD1cWl49OvpgPQ70Yj33m289ailsPQIWYj3a/WA97nBsPes8fD3B3Iw9UqSLPWAbgT0QTWM9n55bPV+4UT1dGUc9IStCPbD5Vz3ATWo9lf1+PfRUjT2Jzoc98Th3PV2UYj0H3kQ95lI9PYbOOz3Mg0o9Xv9SPTDpYT28mWU99ixUPVmwVD1fm1M9Al88PYMcSz0ShEc9NWRIPRD1TT1UAlY9OtBdPYDJYz1VxHE9giB4PYeDez1N1IA9RjaEPY0bkj2toZg9z/CYPU27gz3RCX495np5PXFfYj2VvEs9Q4lCPcq4Qz2561o9XphVPdSYRz13wEk9pTZDPZGNOz0NYz89Wy5IPUgjWz3mW149uJBVPVQUYD17i2I9nixTPcqDSj2NA149v+dRPcoYQT2ZK0E9Rr5APUyASD2Sk1A9DKlXPQ0naD0mB4E9cjxwPZwATz0n4jU9pCYtPeIqNT3u0UQ9ndJWPWz2UT3zBlE9QrJWPfnQVD1RSlE9j6JJPS2XNT2lIi09kx00Pen2Rj0dqk0937RWPX2OUj2q8WE9owNpPa1aUj1G1D09KgoxPeoEOj2DKUA9RptEPZjDNz38bzk9ZhNDPYlGNT3OSEA9kwBLPXoUQD1xkzs9tIBPPWJsWj1sr2A9VRVUPcDZRD3z3kw9X1xkPWrdbT2lRFw9vTBIPS5CLz3SLi49tf0sPYJEOD0DPjY9tfY4PVQ1Qz0SvEk9UyA+PbTrIj1LhyE9S6YlPU/xIT0Z/B49MIsWPWqjGz00Vhg9q3QOPdlDDD1elwg9tn75PAPK2TzHV8U8xNi8PM2ayTzVb+c8tkAMPbABDj1RYAM93aH/PMOzDT3Be0M9mg4lPVFfLT00oLo9iB45PljaMj7layo+WNsuPrcVJT7aniA+BkszPp37ST49Xz0+l+dAPljcQj4g6Tk+Qm0vPr4EMT5f0kE+/RNNPrpdMT62wDA+AJ1PPhLeVz5R+kk+e/dBPv95aD5/N3Y+xHGCPnvJZj4INFs+FnRiPp6STj7/Rzc+V8I2PnpKfj7j2o4+iwhrPso5Tj59JU8+Guo3PuXOLT74nCA+js0cPmZgJD6/NSU+xZQ0PtQnMj4fM0Q+rstDPnG3Pz4gfUc+RiZfPlMSSz4YUDk+xGQ4PvjITj4mXFY+FkJpPpgeVj5ObjY+KB9APvArQz7Qdio+o+g1PunOMj6A1TY+hpwxPshhMz5Gk0I+Ut8xPsr1ND6jMC0+hN8fPvatIz5S6jE+EQQzPrHKLT6WKS0+zv41PjAxMz45tjA+4Cw1PiuBLT5KLy0+s/s1PuToQD6z0jY+1cA3PqE3MD7dsDY+3mg1PqClMz4WMT8+JERDPhQnNz7YIzU+ycQ7PsdJLT7mky8+BWM2Pm55LT6+RDg+8yhxPtzkaj69eDw+YgQpPly/LT7JbzM+FP4rPl0OOj6ZVWs+3zFJPvFGMT5jsCo+yDUqPpMgTT5c5jg+4bcsPmLeND4CSyg+m1EiPkGyGT53YyA+VwwmPk0bKj68KUA+gs05Ps7GJT54UyM+JSY4PqMBPT7hTCs+krskPjk3OT4tqjs+S/0lPiEjNT4eRDc+fjcrPk9kKz78vTQ+MpUoPgoLEj4zOR4+lfEaPhhOPT7gj2A+XgxZPjy1Mj7Cujg+SREsPpAiLj4nFTU+VjYlPnilFT6cPBU+TukiPmnQJT7sUA4+hTIQPsr5Dz7HVg0+fBQEPkaPBj5lxwI+7SsNPtBiEz5CSEE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/9vMM9LaqEPYtDbj3nv4I9mA5yPdYwWz2pvE49sjxPPWylZz3gvGI9vpVPPTQsRj1K3FU9uEFdPVKRYj0VFGI9arNQPSF+Pj0buEM9zuptPYLXdz2ofFw9Z2hEPcPhUD0vrFE9Yw9BPQaNUz2+ykw9MmBSPfSHWT0Cy1E9r/pIPQtWQz1wmjY9xcZdPSQUUj1fJzo9ExZPPdClWT2od1Q9jZNcPVWrZj2b3lg9jhdZPeRsZz3W/W49mRFhPfi7bD3A+oI9tUGAPePEgj2JxYA94RB5PTh6fD3BFXM9tS9fPcDWXj0EOGA9lydwPYr6dD1XQGY9CMRVPaVVdD3BPXE9CUhxPa19gj0BpmE99v8/PWNxOT3o0z49BNlDPeZwQz2FZVs9BgdrPR7EYj1OHX89DISMPaU3YT3msEk9GhhIPWJgSz1tn1g9FhZuPQhXbz2DYWY9SBlnPfQjfz3pMoU9iliBPedyiz3Za4k92mqAPdpxbT3hrXA9g8V7Pfa8hD0F4YA98vBvPe/lUT2x11k9kkBXPRZIST1SIz49c9VCPTX7SD3CNEk9CI5ZPdUwUD2xXU49uxRaPb6DWz1LxmI99OhhPbCMXD23HGE9vqpiPfsRVD2qAls9hl9MPWYoRz2+KVs9Pb1YPT1IVj1lRnQ9W+R4PZfbZj2aY1c90mxZPazIWj1+FUU9r5RBPRqiSz3iS1s94H1zPZKteD32uWg9YntdPQ1XUj1dwEI9XlE1PTJZLz2xpjA9Z3s9Pc8eRz2Fs0o9179FPSn4Tz2ay1s9QZ5XPSJ7UT3PtUM9NjFFPUByRz05VkI9aBo8PZYtPj3qWUQ9LYpWPYZBXD25WU89t7RJPXt3QT1rkzk9v1FLPfIiST2dpT49J/g5PXlfQj3aS1w97rVpPVV3Sj2mzzI9bBQlPZG3Jz33Jz09c0g/PQBwQD1umi09F9IiPXTsJD1tQhM9sWoSPQoIFD30bxE9guIPPcAfGT1lhx89fOsYPZEqET1Kow49CLkRPfOxEj2KRgg9I0a/PAgSpzyCDa88PPXJPMhAxDxzKcs8EknfPClJ6DzckfU86CDSPCqu3jw4azs9r3RUPYWxBz1hYMQ9PRdePrFvMD7IuTM+6mE0PuBQOT53xjA+x/09Ps4WRD7q5jM+mzQzPuLqMz5sOzE+7Mk4PlLfNj5R70M+NsxDPsl3PD7Rlj0+tCQ0PvEjHz6G9E4+AjKDPtvvez7TqlM+KwtkPhQKUT4P5io++349PsqpWT7ynyo+aBY4PiL0cj4Ie3Y+HDxcPjF5Oj6opT0+0Iw3PlKeRD4vVjk+Ge8+PsaDPT64iUA+oUNKPg9TNT54xjY+1RpTPgPoTT6B1Tw+SNFHPp/YND4pXDQ+oudBPhoYSD58R3E+op6BPlTAVT7l9jo+Kj4+PjJTMj5tMCA+MV0mPuMiLT4C1DI+T38sPpt4Mz49+TY+KZIvPg7UMj5d1iE+eq8lPtnxLz5r4TY+KCRAPuuFOj4OuEI+joNBPg7CMT42pjc+SyQtPsP1Kj7ZTTA+6AE7Pp5hQT4Zujk+RFk1PoJyMj46RkE+uOU0PpmLPT4I3TQ+r8FCPlE9Oj50xjk+wsg5Pr00PD7o/Sg+sIg9PqAxRD5f4zo+LOkvPhw0MD50okg+40c/PsHGMj5w+Eg+mt89Pt25Pz5v0nY+osZCPuizLj6LFTI+H0UnPkbEMD4YtTc+dKczPr8sNT6GTzQ+9Qs7PhMpMD4D4i0+e94qPqE0LD4E9jE+bHwmPk8XMz7hzCU+DJ0yPjtSRD5yhyM+rSccPgQkHz7ZpTI+Sh8xPuO4NT7FmzM+dDEyPlktJj6TASw+74MtPh0rLj57VSI+MBsUPmCkLj5PQz8+Wtp0PvhcfD7OJ0E+uU4jPoXsPj4Q0EE+2AM3PnQ6MT4MmiQ+8GcpPmoyPT67zR0+lDU0PjKjPD51wRg+PXoRPj/gOT5iBAw++TMUPsTkJj60DTw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/RXGVPVwGfz2sens936d0PSqUej2NlnI9F5J5PdvdgD3UA3Q9t/hePVI0Wj3Pp2I9iwJkPS0JXz0EZD09toYxPSnZOz20SlA9kw1ZPeE4VD1ZSFQ9yiBPPTXeST2Voz09c+RJPWefXz27p3g9HDh9PRB3ej1L1W89rXRYPUjtVz0ujFE9b7BRPYRiUT2xMWY9cc9SPSu8Rz3WNkw9VnBXPSgzZj3pjWQ9TxBYPe5/XT1u51I99nlePb0Jej07Y4Q9X6RyPWTiej2fB2I9Tm5NPV8zVj16C189wU9iPTdbaD0K7Wk96XV+PTh3gz3514A9seRzPVvefj09z149IIxHPd/+Oz0KEkQ9yStRPZ1RTD3T/VY9ESRbPW+DZD1mxGQ98cd0PXAYYj2/WmI9gERlPWu/Sz1giU89ZexUPegSVD1AMV09Xg9aPdUeSj187U89Snl8PQJRiz0srYY9342HPTPNjT3rq3U9ODJ7PZg/eD0loIA9E5WBPRjldD1i73w9Vv98PdcCaD1yw1c9TwhePRvzXD0MXls90T9WPTjSTT0avF09+gB8Pcu4dz3bhWI9jAVtPShMZz3l7XA9oExbPeBiTT0FHFA9j7ZOPTNTTD12oEQ9v7Y/PcqCPD1iNVA9hldkPZOtaj3mgV89XwZTPX3xVD3bu089poJHPTrsRT0UH0I9v+hHPVZZVj3Q4Wc9TYCCPbdAdT0/Ilk9SktMPXoAPj0xWEI9y8I9PRgXQT0ldDg9tclKPVk4YD31LGw9EilYPaUuUj0Mw1E9yJ9MPVEtRz0oQ0o9Vg1LPYSoSD3ZIFE9QddVPSc6ZD3T2189rdpgPSEnYj3aBm09N3BfPS8lND0ghzM9+dkyPdwELj2bAS897Ok5PVywVD3rcWM9vCJJPRJJNT3GkCw9I/skPTDhIz1yZSg9Q+0hPQYNJz2sTi498SghPb+0JT3sCyA9yVwePZRSHj1TfSI9fB0mPcrFKz35ES49b7sVPUjy+zwottw87QUCPZDX6DzudLo8SrSmPEzSsjx0e8I8+H/rPG9E6DwCK/w8iEvoPHXOHz3J6IA93FOHPYQdEz3KR8w8lFYnPTuuoT0XfQE+dgdWPsvyLj43Ajg+Q3stPuFcIz6I6TA+k/8vPjnMOT7PDi0+fw86PiJZPz4YEjs+P2NAPlSdPT7gZkc+xfxEPpitQD52Rjo+OfA5PoSlMD4aC2s+4F2NPhiIUD69mSs+6KU2PpFjNj70dDk+xrA9Psi7Rz6yjT4+05FSPrFOYT4BoDE+K7w4PiYdVj4jo1g+H5VAPq/DSD6Hfkk+cfI/Ptq5NT5mRSg+DnlGPhxQMD6O2Ds+GS1MPmSCOz6IMEY+sqNZPkT+PT7GaDU+Q8JIPj3jVD5ckkc+B5VePia8PD4d1EE+k0NHPpv0Nj6QVzI+aX83PvZjNT6ISTE+FVw7Pg0HPD53TTg+/GozPloVLT461CI+tQAzPj+pOz4agCw+BjEpPjOVPj6dQz8++Hk0Ph3fND7iWDg+aa42PhekMD4fzh8+t7c2PgNORT6OoDc+FA0yPoUBOz7mmTs+QdhAPjF1SD6S8Ck+X1U4PpTlOD612S0+/sw8PiRKTz6Plkc+r/M/PouHNT6xfSQ+oLInPmELQT58e1I++qo9PiUDRz4MOEY+MPwtPpXnLj7YxXg+RMxKPlzoMD7oCi0+VU8nPl5wID4AlCI+p94wPou2Qj5aKUo+oENAPkIBOT5U2js+6sNZPqUDRT4A6Tc+ipY8PrApPj6cNjQ+aTEzPulvKD5LW18+ohJVPuOSKT4cFjU+P/kmPqsLLj7UpCk+F+w3PnajXD4/gD0+lzI6PsxALD6uyyk+2/pAPiqWRj7w00I+Lu9EPvOfVT7xMjg+2f0qPsf0OD49CC4+L60kPqiJNj73CiM+ZGJBPue9Lj5r0CY+oCJkPizsND7bEDQ+T+1IPpzEOT4d9BY+BJgaPoOOIz6rOgE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/axSWPQO4hT2+nYs9Oo2TPaN6kT2fY4g9zc2FPVBFcD0L4WQ9YGSKPVv4ij2qq2I95itRPQ36Nj1+1TI9YIwwPcR8Pj2650Q9ZWVIPedyRz0Gt1g9/3RWPaiQVD07VE099+5NPRc1Vj1BTX09RseQPQfOiz1d3oE9uStnPczeUj3kh2I9bcRnPd5uXD1jf1Y9vuRJPQxZWj3Q4W49tpdcPUiqaT3VR2Y9/dJfPemJbT04U3c9K52HPSObhT14N2o9yoRUPSLXRj2RwkQ9y39ZPSbpZj05pnI9DoCIPe2EfT1jjWk9frdlPUS4dj0FW4I91LxmPX8HXT0RlFI9RTJEPZhtWT3OK2k9xGlhPaM4aT1T53w97dd5PQRieD3Mqnw9UIl1PdK6cD1lKVM9+ElbPeG3Xj0c9Vo9waJSPYLVTz2YXFM9YiVVPXrFZT1hwns9hdSBPSNriT0EdpI9K6iFPWZ7gj1CPoE9OEaFPaZ7kT1V2Ys9oW+BPfP7dT1OkH49TaRdPQpbTD1paF09dXZhPTQiaz3Rj189f5pXPYGZbT0iE4I9A86IPbLjfz0W4nA9DJNrPSz7Xj3g5Uo9a8VFPZvTRD1PKE89uQdDPQ74Qj1kJkM91A5IPftuUD0fK1g9O21sPY94Rz3RZi898546PXjyVT01IVU92iZePe94VD17t0s9ezlWPW9TXD03H1g9AjlZPROtUT0uPEE9yNJFPdH+Vz3TmXI9C8ZrPTHiZj3dYFc95SVuPYFdZz3kYFQ934NJPYhxQz11pzc9+hwnPXYMRD37glU9lmRHPdhQRj2a3GI9zdFwPfEJdj1SNnc9fzJ6PQhCaT3XZE09qr08PRcRLT11+DU9wa85PQdnKz1d9y495qs5PdDFPj1Lqjw9tdc2PVqeKz2fWyk9znYkPek+JD3qOic994onPe1eMT2v/DI915k2Pb7BNz0j/DM9fmMfPegQHD1SfCs93+lEPbopOz3IECs9opIlPaFUBz1VDOE84drJPDkgszxASKo8MVW7PG4y2DwIR8A8jmTIPMmqujw8RQ49OVG+PSGBTT56fYI+sgxcPuNVID4iwA8+8YVIPocYVT7bwjk+gEsqPsOVGT4uSyU+1tItPnPlKj4pFUk+qfBAPoGKQj41dT0+WMdOPlvxVT58BTI+Lkw7PtPZUD7ID1g+KtpLPld2PD7TwEw+Z41FPn1xST5A7VU+e+JGPgyzQT64D08+G7pVPpWjNz7xATQ+Gt02PjjYND7mH1I+4q1bPnyMSz4lq0M+qGFIPiOtOD5bb0E+zCE/Pm4YNT7FTDM+D6waPmWHIz6sIy0+WnE2Psd6ND5i80U+SzdCPh44Nj7Qg0M+jNJEPjDWQj6T/j4+H545Pho9Wj5ghUo+kGRWPsheUT6vSkU+5ec0PrKvPT56bzM+AFk3PsHtMD4mXD4+tiQrPmWUOj7C4T8+WuA9Pg/3LT5KJys+vF4sPoNXLT7pQy8+y+onPm1wLT4VQzM+QqUxPiy8ND5T1zE+uX5IPpk2NT6AZCU+w7A5PvdPNj5+wio+v7MmPs8vLj6tlTA+xf4nPsm4Mj6CfiA+5mkwPiexPD7bAjM+Ds8uPv2bOj7ap0c+lVo+PrJyLT4SXBk+qqAjPjc9Oj5LVDU+uMEePkxcPz7T8Tk++awqPghcKT7Gxkk+QgE2Pjv3LD5ddjk+v882PuQdLz4Gyh4+iGkmPqGGJj7j3Tw+wz0oPhHrKD4wHSk+W5hKPpojRj5BoTE+rNokPr9QID5Kxio+R5glPs4iMT7/VjM+CKVTPlqFUD6jJDo+yig1Pl33PD5iOTc+qrpYPg8CWD75WDk+Nsc6PsYBOz56ZCo+BJY8PonbVD4i8y0+JowcPrUgMj4e7TY+Oo0tPhc1Kj7uyCY+9QY0PibKJz7triY+3EkmPj83IT4llT4+IMQ0PnGcIz5lIj4+fSoqPocrLj7vNTk+cKUvPs+GJT6xnjI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/OGGWPXwrgD2LHJI964yMPS0CiD3WqYE9Qq11PWKraT2uHns9hy+GPXzUez3cP149DZdKPRaKQD2Ymjc9pQNLPdhGUz3z9lc9K19WPc3AZD018I09ntmBPY5EdD1Vq1o9gH9SPZSfSj0TI1g9VsJbPbAPTz2rVlU9Z+dmPd/fcD3Go3o9XTKEPWAPgj2Dq4k9c/KCPf5CZD1vBE49EjNZPWfAdT2JQ4E9FsZ+Pcpyfj2vIW89qeBnPQzNVj36gUg9YzBGPUFwYD0nv2g9DT9ePRFkZT3h4G89srJ8PXFObj27r2c907xrPVdybj10plc9ogg5PUYSTj3R+lc9GkhTPesUbT0CmIA9081vPVzSbD0ZSGU9pTtiPQk/bT1lgGo9OntpPYPVWT2n5WM9U7FPPeMISz09jlM9rHhPPcHrSz11AV494O2BPX5wdj3TFIM9/ESQPSSrjT1pyY897mOIPUJriD2nGZc9FXqRPeZqmD25/os99EeCPb15Zj30s1Y9zlNUPTBdVD2dwU49OyJZPZVnZT0MsVw9C3lbPWRXXD0teWE9b55+Pf3Cbz2YZ2M9OL1ZPTlnUT1jSEM9xp5BPdnbRz0fBFQ9q/dLPSjuST3hllU91/pPPZ+fVT2/jkU93vxEPaN4RT1mCTY9aas9PRocUD0nnFY9gsdhPWZPXT0Td0Q9upxOPWhlaD3XI3M9gF1PPQvuUD19pVg933BPPVkrWj15Ils9BV1oPUD+fz2rNW49CalePXaXXj3xQU09Yqg1PfbMLD1Wny49LkU4PcQmRD3aBlg9k79fPRoNYz0vvXI9e4JqPYPwaz1HzX49zURaPaFlLD1k3TY978k+PXZROD1Q+DA9koI4PdY8OD3Q0Ts9V1s9PcjxMz0iBy09wtYcPdHfFz1zeh89qNohPey/Iz29yTE9DRc+PShbPj2AJjU9PWkkPexVJz0FqSs9avc4PSHjiD202ag9poiYPY5loT04PrQ9VdKTPcHEEz0tZL480I+tPGjfkjyXZ4Y8PLiOPIHXkDxQPZU8F2OtPPL97zyQA1o94xtSPjbwij4W7D4+rP8mPgojJj726Tc+iDAtPlU+ID7DvSU+tS4uPveiMT7JzTc+EyE8PoL/TD5+WUM+SDNCPhMKPD4vwjQ+aig+PlrCOz6WZjY+HmtDPqgHXT6C7UQ+C7slPtd2QD7OAWQ+6VxAPrk3PT5w0ik+EUE8PtpaUj71xio+0jAZPiJ2Gz6rhDs+6ts3Pr3pMj5RhU8+lr5TPtvFZz5Rkmw+33RBPocyOD563Ds+O+I5PpwxND5PAD4+DicrPhMiTz47ezQ+30gkPh62Mj7exkQ+I7Q8Pq2lLD6TD0Y+Ha9fPlgBUj5FbUQ+ZSQ8PrXvSD7vEkM+XcxOPiWNUT5B1iw+pgcoPm9ZLj6G3UA+Te1CPk1bSj5Qu0E+IsREPkcuMz7K0Ts+Wbs7PhieND6r4S8+rlAnPqN7Lz596Tk+XrQ9Pn4YNz5zGio+kJsfPr+xIz5NNT4+nvRBPgUuMj4fMTQ+U7w5PjngPT4CQzs+jVImPpQQNj6iVS8+qJEwPvdSKj5swiU+vlUuPsJBOD7p2iw+wN89PhzTPz7amkM+r6VBPlxyOD4P/iw+4volPkuHJD5oYSk+YvVBPkibOD7ASjA+cAEoPornLD5lNyk+zdVAPm4QPz7KJTk+6AQrPl+TED6/a0U+cqpcPiOhJj7TPjY+2F0rPlQFJT57EiA+nE4gPs5oKT5QVSk+1ugePt2AAz49qPo9O4sSPlR4Mj6LajQ+c4opPrw/ND5Dl0E+5FZDPpjPPD4tzjI+vK4+PtcwND7RUTQ+2iZQPmP3YT4Ag0E+AFVBPiwpOz6Q8T8+Gr05PmW3Hj7AizE+Z7RCPkq9MT4q7jA+UoA2PnQ4KT5GjTg+UV4xPqG+JD5LOjM+Of8rPiFiLz5Hhjk+2A46PvVjRz5RPTM+T+gzPtMoMj6BtCk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/DAuOPZRYgD2UEn89Di1mPUS1cD1/wm09mRZ5PSKzhz3fZIs9Ljl8PdvHeD2sgVk9yydNPdAHUD1Mhkk9mr9UPfO7aT3ur3Y9Hf5pPellZj0lKWg9SqZoPVRCcT3ox2k9yQxHPaXEOz2zbDw9WZk6PfmaRD1ifk09yqhbPUZKgT3rAoY9Ic9sPV9BaT3wA2Y98vGAPauVdz16i3w9P6aBPRSEhj0z/XM9SmVzPWCFXT3vYlc96OpaPRNMZj21UHM9Lex1PShHkD0DHo490jmEPYynhj142Ic9WPVvPVFWYD1r6lY979pMPdfaQT0gvFE9baxCPYcsQz2P41c9czRWPUwVYj2w3oI9nHV3PTjwgj2BM48931aSPUAzeD12sGc9u5lYPTKGaT0D1mA9+zphPVm1aT3Z0V89aWdVPS4/aj3cdoE9d4qJPWpcjz3H2Yg9qE6XPT7ymz2ahpM9iUmPPY4Mjj3o3ZU9FEmAPfmneT37zWE9mERxPZJ7Wz3ppUY9huY+PSM2RD05xFA9lWhMPTgAXD0GMGM9e5ZuPaI4Xz11xVs9N2RDPc1nRT21SEA9p6BQPfc9Sz32N0A9ceQ6PcG4VD1FB149JEphPc16WT0j7VQ91YtTPT1ZUj3pfT89uZNHPdMYQT3nfk89bHpMPZEtQT1SpUs9eklNPS8jUj3JYVc9ADBlPadcZT3wMGA9BKhWPYl+Sz0Y7kQ9HttIPVChXD39kFI9OyBZPTJrXD1GEUQ95XA7PcwiRj1l2T898qw9PQ8HTD1AJ1g92oJfPS4PVT2DtmA9Mat2PdAIdT1op3g9CgF2PcY0Vj05LjU9RYMiPSSeKD2bmzw9+e5DPXzdSj3sqkU9n5lLPfsaTz0aLEg9M/01PY8EJT0UFSQ90KYWPWNKFD0QHxM98akrPRg7Mz3QKkA9SF09PXJ6IT2uSRQ9wSYXPVziJD1wXCk9ArRmPUHJwz1qSQc+n74oPk9eRT4gJ2I+t3o/PncoDD6w4009TXCSPEG5cDwie4U8ADmlPBfcvjz7Orw8D/zRPHG7ez0I/gM+uth/PmIxYT5HCyk+BUYdPsQTIz5lFzM+JfMuPtHbNT4FFUY+rOBNPoAUOT6jris+O8UvPvQYNj7IM0M+B+dWPpdgSj7r70I+acU2PqqXNz5hekA+76U/Pnz6RD6xTTU++j8nPt6XTT5SlFM+pgBEPvEOVj5oFGU+AC9HPoogMT6btCU+q+EhPkBLKD70rC8+8zozPqhyQT5w8z8+smVlPno5Rj73EVs+9l1SPn7OYz6dTkM+adM5Pia0ND4DTTU+LMonPhbfPT5ndic+SRofPn4UND7KVzs+CHIoPj9sHz5A9x8+qP8wPm71MD4k1DI+Wq9aPq2uaj7DTFU+Xn1NPtncSz6ZzjM+73M0PnlIMj4jDTc+qH48PucoPT45XzQ+P4xHPoKDOj5Dzkg+3ghCPsU4Lj5IVzQ+Mys4PpxvMz5tFTc+5c9GPhCXLz5kYRk+U9UbPmVkIz6CAEI+0aU1PvYNHT6hBTA+RrI0Ph1cVj7SxTI+9M0jPgkwOD52WT0+u9Y2Pr7uKj7Kci4+HF4sPsQOQz7ArEA+vIY2Pm9IKD5ikzc+9/MvPrqCJz5pLSI+zNocPnxBCD7l0wk+C0YTPor4Iz6A9So+eKkwPguTLT4zbiE+goktPmD8ND517iM+Y4hBPvkHQD52PUc+UA9aPurcRz73k0Q+OBFEPo6LWT7qXEo+5ikyPqJCRj42AUQ+H+I5Pr9RLz6EEi0+VdgxPqb4KT7tKiQ+3oUoPi16ND7jZyU+9FgmPg3AKT5BHyM+G/YXPqUvGz52jhI+NcIfPhZ8Pz6YNUU+Xmc6PhdCLz5oFzU+9PM8Phm3Ij6MoSo+MAY3PrBxLD60kSs+HAExPk8oKD5IECc+UUIhPrOnHz5Y8Ck+urMpPpmcFz41Xh0+L7IlPlR5LT5LLCA+IeYjPpp9Kj6iZCs+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/+LOSPfBTcz2owWU9vKJ8PYc1hD31UIQ9ftiEPapBjT0y8I49hhCEPX8KfD3b22E9MWtMPcAvZz3ydmE9qOVwPS7veT0J9F89yoFGPYWAbj1QoXY99LplPWHSVj2Zv1A9AHpOPQ/3ST0K2VI9auFMPRr2Zj14FlU9qEhOPZuMUj0p6FY9g2NSPeqgVD35els9DNBtPZH2bT0thnE9y31lPf/ZVT2zFGE9zcRgPQoabD2es2A9IGhmPW1ydD1n1HE9WhKQPcUrnj17NHg9Tx5rPQwWfT2Ca3Q9AbN2PbYWXj2U20c9GlxSPbhqSD0OMEo9z45RPSnRRz1tRlw9kjJtPfO/gD1Vnoo9aKGJPU+Fgz3NbYI9dGmJPWdwgz1mxnA9D5tcPSPsaT0vgoA9PkOGPaDTdz2FrGY9AdxoPRqVeT2X1IY9Uy2DPdn4kD0YqpM9yuacPYmhmD0/SYI9Z0R8PfNnbT26mlc9eEFjPQqafD2ge2095C17PW4rcz2X0E49a1VQPd5QOD1F7DM9RuJHPUMwcT0K5nU9a+t2PSP5Zz0EJkI959lFPW07Uz1s4Es98etDPdw5Sz1xeTQ9P3s0PWkXTT3LwFM9zZZnPV6kaD1etHM9QyhtPXS+aT0VsE89dHBSPb5qQj1qnD49Am5CPRIUPz2CLEk9qQ5RPfxOYT0YI209XlJ2Pf4KZT2yTks9j9NQPWP8Wj2Sw109RytHPScqWD04z2096eJiPTZETD0FuzM9lRA6PRldST1/0089Cf9UPVMsVD03SEo9uxNfPZfyWj3vS2k9dCV0PVUmWz1MN1A9v4hJPWAiPj03X009f/ROPTVQQj3vhlc9tx5WPXZNSj21FEM9Q5JGPRstOz3ERSk9zksoPflbLj3liDE9Ky0uPSsrHD0V2B49Z9BUPRTgSD2gWig95FoLPdiyBD1qsQo9G6obPR8XGj0y+B49mlktPfs2ST3sQ8I9wfkoPrpAWj4lWy4+KDMaPsitKz5svM09DdHfPCN3rDzkzLo8GFoePfmyfD0rfOA9AKoePkCIWz4HpzM+8gcoPglqHD60Px0+CM0ZPvv3Gj7r5CM+rwA8PgygQz58EkM+muJjPkSoVz5ahkA+4SgePsg9Kj4Am0Q+hSxXPmpCXz6QPE8+BltBPvtQRj6gMj4+Qz49PvJhSj7r6Tg+3Js4PhD8RT7pCjY+vhg0PqggWj70ET4+Lc1QPoE6Wz5+6is+vCgqPjUvOj4sISk+/acwPi3fQD79CEA+fHU0PspTSj5RWmc+1bNEPoe3PT5nMDw+5mk9Pn2+ID6PXzI+WoYyPrMPNj6e2iA+MlIkPtV/Jz4OITA+VFskPugOLz5KJTY+2mlCPkiEQD7zJzA+9KdDPhj9Mz6gIDA+7WtDPoa4ST5C7EE+gYg3PvQUPj5VrSs+SrAxPn2RPz7RHTo+ZdcwPh8oLD5skSg+/gY8PuCMOD4AOD0+GgU0Pg/5LD4JPzA+MX8zPpcEMj7uZSg+TZksPtSROT7m50U+regxPsAaIj66syw+rp84PoLFQj6DKTU+MA0vPvWONT5aejI+2V5BPhpbQz4Jki8+m4coPuM/Lz62tRo+8U0kPtanPj7Erjo+JlxHPnihIz7beh8+NNTxPRUKvz2Hq+Q9YOsVPqTEVT6I3lY+SSc0PpDNKD6pySs+YpkgPsDLIj4U6y8+nhhDPqjMMj6SKzk+oKNcPjA5SD4IOEE+QZ5FPlAaQj6k4jQ+qhwoPjvfOj5e8jg+JmA5PqbCIT5KqyQ+q4UoPvS8KD4sKSQ+Wh4uPs4HJj4F7TU+15Q6PtwtSD7fczI+ldccPgzVGz4WnRk+FrQgPnt/Iz4Swh0+OrIePkGJJz4g9y4+6iQtPlGsID4Wyik+GVAmPuadDD5TxQ8+RFYgPgoEKz7EWCo+PNg8PmevLj7YhCI+ZHc4PmlNIT43Vx0+fr0kPjpQID7vxBM+1iAJPpUcBz4SQRE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/HalyPTBBYj2UqXM97eqMPboxjz0eg5U9H0iTPUI8hT27x249yBNzPSC0dD1OXl09vxpmPZ3ibj3bjYA9lT2DPbikZD0kAVQ9o4JMPQ1qXD3L/GA9yO1TPaqyTj0MQ1s9hptyPUmOeD2P5WE9r25XPRE3UT2RDF09CjhbPbgnZD250Xk94C9rPYUrYT1Mnls9diFpPT+Gcj00M2E9oMlfPe/PVT1uUWI96vR+PRNOiD1OXHg9IRxlPS24ij24BZE9D0SGPaPkZT3ytlM957xdPU8Naj3QYWM9XepvPQ1OYz0xDVM9b307Pe3dPT2YOU09/H9SPRMbcD2C/n49I4J1PcUpfj2AjH09GxGOPXiomz1gi4c9SAFzPUmYYT1AcF899IVtPa8Bhj12lHg9ZyxtPRTXZD2i2G09wPh0PeC7fj1N13Y9kOV1PdKcfj2PupM9UxaPPXJwgz3CpIA9+XZmPe7RXD0f62w9Fs6CPXoBfz3WpnA997RWPXjIST2v6009vPxAPd4hPD3TzU49USJaPQXrZj1w+nA9aTFZPQ+7Sz1iEE49tTNZPYSySz34/ks90MJMPbBQRD1WSkQ9vCBIPXBlbz3Uh4E9JfRtPeupcj3IsGs9T7dePdp8bD3oN2A9cFpOPXayVj1oxXo9WZVkPW/IVj1Zs1Q9STRgPcz/ZT1vJGQ9x7BePSkASD08OS890DgoPZHQPD00KEo9O6lBPS60Qz20xkw9GkQ3PfW+MT1/QC49+Yk8PcPIPD2Ql0097kNjPY2Iaz0RLGQ9Uv5jPYxIYz3P+Gg9znRlPT4CWz3w1Fg9MfhFPQ92RT0yvEs9UfRRPROLYj1iFGQ96+dDPQnqMT3lOTI9sCkmPZrDKT0Z1iE9oLEvPexQOD0gjDQ9m+44PTlsOj0tOWM9El+FPXiNQT3o+yg9b/woPa4oFT3fViI9wWctPTUvLz2Q4zA9z6wlPcT0Dz1pz1Y9DyUPPuaYRj5zqh0+CyUNPrziID4EQx0+sVINPki8Gz6SHyI+9B8pPmkwJj7CTz4+OmgcPrgwJD48DSY+tNooPvooOj7/5zw+c3IpPuKzKT5wTSc+nVcrPtfdUT4uF08+ao1MPtQhSD6eqjI+xUkdPqEoKj4sNDs+Os1NPvlVWz49REA+AE1FPis1RT5980Q+mWVRPpWsTj4bU0A+nxc+PizqNT5CvzU+sTErPnFaOz5CfDk+Z1ZQPg6VVj7/1E8+ZyV7Pu+ibT7s/Uw+KXpDPropMj4LuUk+4KFgPi2RST6tgFQ+Y19EPqaZQz6JMyE+tz8rPtKKLz42gSU+v4AmPsZ9Mj4exTA+2Q06Ppm1Gz6IHCo+Zf1IPs06Xj7NknY+XpRrPsWQVT6xjGQ+hohRPqZmRT50Nj8+PCdBPt0UUD5rnEs+IrIhPiVfLz57LyM+lcIyPpg+NT4s8zM+vLk4PkgoHD5V8Bw+gS0nPnjRMT5cGS4+qRsqPqXEIz7GIRw+LvIYPrU+Lj7A9EA+JZ01Pi7JRT4150A+CLs1PhWsMj6iUSg++4dCPsTpRj6YZzk+E7QvPnaqNj6JTjE+8Ps3PpjgQD5x1Ek+ZTo9Ply9OT5kRCo+r1UiPrKsOz6hmzo+eDUvPvWyTD5IQlI+bTE7PlV9JT5cFRI+WWAHPiU9NT6Zlj0+UGIsPk3cKz53BSg+dmkoPmZoLz5tfys+T5Q7Pg0KMD53JSo+ym4zPtN4NT5r8ys+Cd07PrybOD7+Ph8+oRQvPvWfSz78PCM+mBkwPnSTWj7OiWA+chRUPskcPD4+fzk+d+I0Phu6HT5meRI+CgsdPtExID7Q0yA+J8ksPg8MKT5TeCA+WyYqPjyyLj6Y1SI+FZAoPuvOKD4W6SE+yGUfPm/9JD7XNC8+90srPqoELz7aTiY+9fYnPj6CLj4AyyU+BkIqPjyPLj41ZSY+6cUfPtvFHD6cdhk+/ukdPlTqKD75ljE+9sMsPuc9Jz4pKDQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/qSGwPXhzgD36aH09ALOVPaQDlj2lAJE9gzyCPQcBgD3XOIU9NkKDPYVveT3r12k9WkdnPaZvWz1e80s9/79HPY6HOj0+qEU984FDPYJ5RD3BfWA9t+BmPfG7Xz0GYGE9Qu9jPSYpYj3dB1M9QH5QPbUKXj2rD3M96kZ8PRkSfT20oIA9a7JyPbkebj1+N3492xeCPY4NdD2BU2Y9YAxXPV5tYj0wjXQ9+xmHPUUNhz1HHoA9pvN3PfAjcT06P3Y9f9p/PeaIhT3/f3I9m0hsPZ/NhD1MWno9TGh7PVgobj2o6WQ9i9haPdE2Wz1+12s9dOVvPYpzgz0Uzn09NnttPf3rfT3KkIQ9xz98PQOkZz2qz1I9ug9hPc1Dbz0koYE9kJx+PfnxjT05BYU99bB0PalPfT3dKnY9bVqJPZmlhz2g3Ic9iql6PVcygD30VY49nfyLPToUkz0aoZI9/4KDPQXMej2aKn49HkdkPdMCYD29GVI9QCpJPb0eUj0tCEg9GBk2PV5SRT2ty1s902ZwPQ01cz21t4A9jth4PeEiYz1iK089vYBHPcI3Rz1dY1c9kLdcPa2qWD1ORFg9b/JfPeIafT1ZH4U9uCdrPRhETD0431Q9yGRcPcR1UT0dIFQ9grhlPbFMeD0GwYA9Ey1gPfswXT2vA1E9KyBWPVwiVD24Ik49Uk1APTJ7QD0l1kc9bqBIPT+peD2aI3A90FVMPX0ROT2coyw9W2ovPXAxMD29jDc9MJJBPUE0Tj2p5149HAJaPWXbVz0MS1w9kN1hPWW9dz1vGXE93XJrPfUDdD0gOoc9kAOGPX+YeD0WIF49AfxOPfN9Tj29uEc9oAJEPWLkMj3Zgyk9stgnPYO4LD0dUjc97d44PVK4Lj2MQ0w9fo1yPSem6T3YjkI+tBOsPaQzOz3a+U89/ewfPUrjDT0GfQg9l9P+PJL4Az38nkA9mCaKPW1l/j1IaTE++yIpPl8SID65bxQ+AYASPkDqDj6pehc+ax0fPuCZET7I5BA+tX4iPlLYLz6+LzM+w2ssPo1BKz41lCw+TMwvPm2ALz6m5yk+JHQpPginHT4YbR0+Xm4wPhQqPj5naEU+A+IwPh7ROj7mOkA+j1NCPj9KPz6H70A+lE42PnIfQD6bWkE+YN43PvUpMD5G7S4+ZNw3Puf3Lj5bmyQ+YY1DPoDYQz6Kijw+zJVEPmEkRD630zQ+gEJGPgYsWD6QwUM+hpc9PnfuTT4MI1o+WtM1Po50Oj777j4+Glc8PtxcPz6GHzw+Ky8xPrpzMz5JODM+fCExPjnJHT65bCw+5GQvPil4Vz4JDFM+aA9CPky1OT7qG0E+rts+PrMGQD4nLzo+GYhIPiHiRT40/UM+yV4+PjKKMT6KkC0+4/w8Pg/OQT6MDik+S6gyPlHRJj5pHCY+EyUyPv5VNz6k7zg+szo/PrXMNz75hiw+ZKQ0PoPgOj6kqnE+BuZIPpGcKD611i0+8L0hPo4BMz7a5lM+iNxGPpewNT44xDI+tVY8PhDIQD4HATk+JCtPPuhrPz6XYi0+gTU5PhO7Kz4jCQg+DxokPvLPMj53NEA+ubs6Pg5YWT6hSyQ+QG1FPokRUD5/qDI+g5k2PjuJRD7kAkI+0MBJPqVGMz6jMCQ+c7ozPuk1Rj41dEM+4WA2PgnKLT5v/zQ+nm43PqzrQD65aTw+mGk6Pn12OT7RcT8+jvQyPsC2FT6h/zY+hYtPPnmjLz7MEys+9rsiPq49Rj41HkM+x8QMPjuhPT4sxkQ+0k8/PlYPNj7ZZjM+vEorPpC1Iz4+QyM+ow0ZPvgaJD4Trx8+rrcaPg4+PD6ESB0+sxEhPvyyJD7+9yU+tnEmPg43Jz7GazQ+4z4lPgkwIj4a80s+XIg7PpYSND58SCA+0+QiPoWzLD5Wty0+S3EiPsJJHj7Ysys+wxk8Pr6GTz7+zyM+tRgxPg0BPj7qTCY+lNMpPmtpJj7VsC0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/uRi1PQpzkT3zy4Q9ohSIPTuhhj0u5nk97SFvPSUNZj2pHno9Zn1yPbRccz3EeGk9kkpvPWoPcD2sS1k9Us1WPe01Wz35bVY9ToJXPbJMUT0ui2I9HWt4PcmZaz22bFo9WMJkPZ/pcj0k+Ic9jYuEPSoycj2DNXY9xB1kPT3xbj1Ru4c9E0VzPYT0Zz0sCmE9xC59PX5Gfj39qWs9Hk1xPdLqcz0ASGs9StRxPX/BfT1lHmc9Sp9qPUpJeD1W4WA9MZdvPYuXjz3TiYo91Ld4Pc4DhT3/qHc9+eFzPX3jgz3xknk9CWxoPfncaz1zyn49qLqOPXtogj1SXmc9JoNmPVJxZz2WQFU9lRxZPUjoVD2uF2s9htt3Pbm4gz3FkYg9t52MPah3fD3Ld4E9e2mCPdBjgT2vAH09U65hPX4GWz1DIHk9IXqBPYRbdT2cOJQ9BsSUPbhphT0Zz4g9F7KJPdLnfj2HsG49IHBfPU7kZz1QKkk94tZDPZfmSD0XNEs9j8I6PVleWT08NXU9ZcqCPV4Ejz1GP4k9jPKIPZC2cT3C81k9K+hVPQ6BQz3eCVg9Z/lcPZDVXz3K5XA91zl+PToxcT0Dx2c9D55ZPXPgTz1v9VE9RzNNPWF+Wj2uaFs9zkpcPWWmbz2qVmU9EDZQPfEHUj0k+Fs92MVePWYoRD3FITQ90uNGPWauXj1KfVs9q3lXPTKTSj1/lTc9uHM1PfA9Qz1o6jk9eFA5PRoHSj1msUk9cItCPRJ3Rz3nBz090U1IPcWOWj2iX2M9Jp1pPf9+ez3DK349+TN6PVRFgj0Dn4c9soWBPcmkcj0QllQ9fhoyPZ/RNz3f1TM9amgzPXPGJT3whCg9WK8iPS3/LD1vj0A9Ok1IPfDBPD0DTWg9fuOUPf0goD09oLY9lP1oPSZFkT0+XQY+eI5wPac5NT1RxI09o9bfPUoqCz5foQ8+0SYOPvRhLz7fux4+XvoaPuxoFz6g0BM+eGAbPo9SHT4J+Bo+Wo8ZPno3Iz7V4iA+peQrPmScKj5+ijM+HB4xPm54Jz5yvzU+Y/4sPoyKKj7WtSs+vbkyPjPxIT7JOio+UtUnPu1KJz71SCk+sjs6PvoUMz7vXDo+7n5APoykOD7fnDM+TUhLPniWSD47ZEE+1qs8PkVHNz7QP0I+fTZBPuZZKz74Kio+SW9KPmKuQj6jYlQ++tlNPlONRj5zpD0+4VI+PhRTVj6Oflk+kptJPj35TT6ED0I+kzRCPmWVPj4CMzQ+XZk6Pl19Oj65vCw+i3A8PovXPT7V0zA+2R4XPvN1JD44QU4+iE5YPioJVD7WX18+EBs4Pq4qOz53YEE+jqk6PpG+Mj4hqCw+/t4/PtxvNj7WjTc+cEE6PpuLOT5i5jM+4dgoPlO2Fj70oik+5uA3Pk/+Gz7d6R8+0MI3PsNYNT4dxTY+0S05Pi1ROD7BS0c+PTg+PuymSD5z7H8+10ljPrNlUz4r/zo+ZbkxPjvcLD6Tf0M+kQtFPu9END7L+UY+8nc9PncVRD5lHFQ+A15fPnxYUz7vHSY+1qIePh5VMz5xoSo+dl0LPkPXEj7fMxA+CO8GPvnJMD5tQEk+B8mUPs9xhT5Nqi8+jSosPiMnOD6sNUs+zLBMPgN/TD6RsFs+w01MPi8yMT45WT4+JW47PjJyND70L0c+9mo8PkljOz6N/js+8M48Pu9GKz4YQDc+bJcrPjZnJj7IwSs+JgE/PtY7Qj52/To+/QY2PvcZMj5oRy4+kpsgPl7iJD4LwTI+824zPkQXKj7u3DY+f6I5Pv0nKT4QLTQ+ZP08PlsYNT7gMTE+gA4rPrpWRz6vHiw+hIIuPvGfMj61Qy0+2w4rPlTSKj50AzU+KIMnPt/YJD6F5yE+0WwtPj/6LD50fC4+4bUtPpqEKD6rSTY+Ng0sPgMQIz5RKyw+ynUfPlGBNT49RCc+yn8nPluPMz4NXzU+akolPh+FLD4CsjA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/yaOKPVjQfj0lAmo9I2t8Pd6wdz2PR2A9/optPZXGgD3p0309/Qh0PXNhiD1PcYY9o9aBPUXXgT3lg3I9Z96APWERiz0DqXs9P+p8PRfpZD02xE099gdZPQ5hYD1Cb0w9lRZyPSRnjz2UCI49ma2CPRxrfj3IDnA96EtsPb8zaT0aGmQ9/VpyPbhBZj1VxnI9FEN5PV4FfD2hGXU9ZoCCPessfD0/T2A9VgJxPUvCbz0G31s9fGFQPRj+Xz24v3E9HMRxPbtDeT0qnok9xwCdPYzilj2VIIE9cqKGPc9obj2JyWY9fzhvPW8JZT2Zn4U9LuyKPRRcaT3Op1o9/GhGPW9RRT2kZU89rZ9YPVJ4dz2nN4k9mJWFPX6/kj0+vp89M5WRPYjYiz1OroI9hfN3PRqOWz2Wg1Y9bMlZPaRhYD36AHE90mZ8PWO7iT2lGpE9RzOWPavUiT0WNYw9R0KPPchEij0s0Xw9JUprPYZ0Vz3kzzk9qW9FPUdnUT2sDkw99pxgPVmtfD1rpXw9Ptx9Pb0hlT1KKoY9PNVoPUOSUT1qeFU9CiNYPQQKVD3ZcFc9Fr9hPUW+bD2rz3w9LoxqPTNGYj1HFWY9cUxXPePtUj239VM9wb5qPbWAYT3s81s9U89cPeuUUj3hbF49c8hWPbhiRj3DCj49XjQ3PeMtLD1Q90I9xZJRPX+/Tj2pcUw9dgxVPUCvMT017TU9DLhBPa8uQz1BAj89Goc/PWLkPD2Q8D09NVY+Pb4SQj23dU49W75oPV6taD3ci3A9+MFgPT3mfD2e1IA97HFwPbEibD0Xils9jcVKPeboUz0H6kw97l88PaHUPz2drTE9fqMsPemJMT0Rqi093xEoPR3TNT0TOkY9typHPWOtSD2ctlk9YCM9PUPlKz2u5zY96fZwPVl22T0H5Js9CAw3PdVY+T1Y1S8+A5sgPsYwFD6KGRM+F5AUPqWqGz7/OBs+QMIsPucjMj4m3Cg+G2goPrVAMT7wmDE+HlkhPhWSKT5h0ik+KqIyPtRMHT6Ysy0+C9QzPvSXKD4HMyQ+V70sPkqaLT5SeiY+8uwtPtoKJz4DmDc+BFkaPv5IKT7xBDA+XKs/PvzXNT6z1DM+rI5LPsS2Oz7mI0E+RR5RPpNjRD40x0M+EEM6PpnBMz4iQkc+EIhQPtViZz7OtVU+XOc0Phf8ND5TFEg+fPE2PvmgQj6Awlg+soxYPr3PXT4Xm1o+nG1kPhDATD6lp0k+kbVAPnEoND5rFzU+j5E7Pi4fIj7nliE+7QlNPppzPD7Tpyo+h8scPnDCKz7wDEQ+wSZrPk5Gjj4WUpM+UEZGPm/bLD6RhDg+kLVWPhuZRT6oJDk+7aBBPhAYKz5gEyg+iNswPogDOD6EYSw+xDozPhR9MD5zEio+ETo4PkEaND7BrjQ+IwQxPkGiLz6QDDw+CMMvPhzDHz5MqjE+mQZIPo0SQz7BgTc+f01APrDVWT6Qm1M+N5gyPjh1Kj5hITk+wJw8PrIDMj6aqTs+fJZGPktHQT7eqkI+nrRNPkOTWT5JNDo+NAU2PuD3QT750lk+EmcjPr/SLD4mSDk+ljwtPgtYHz7TlTg+EWc4PpaBMj7Y3iE+dSxcPnSRdj51P08+zaNJPkDRTz7QNEk+h4RKPjpJRT6qRlE+Js42PtSGNj7WAz0+vcAgPsK1Gj7/+S4+HUMsPqA6Qz6vIDA+a3gjPut7GT6vfic+iFkmPuaoPj7m1E0+XBo8PjnGCz6m8CI+Atc6PuNzJT582zE+Ll8gPkegNT5JNkM+0UkuPkrvOT4NhEg+qnlBPri9Sz4L+jg+KEk5PnRUOz5mcjk+Obw0PnH9MT5r5ys+Je8oPpk/MD6J7DI+LkcmPklyOT7oODE+oeg0Pm/mMj7AbTQ+RvAoPs9zLD7r/iY+41gzPprSMT6dSyw+fZkiPswyKj7asTI+EjsfPvmkNT7w3jA+H+kwPuEoJT417SM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Y253PUYHYz2EuF89t25tPa42ej2HF4A9GQNvPSboaD0GToM9NxJ/PYzWhT14uYk9ubSNPfEZij36DIs9wCePPRN4iz1Dxn09YU5hPZUoVT3G0VY9GuNSPddaUT32rWI9i/hvPfl3ez0d9Xc9wTRXPWA/Rz20mz49XFxFPWqqbj38znQ9GwVuPT6BbD2VKXs99BVmPcOkaz1jqXM9Gu1pPckIaj0sbm89KxpwPWiUYT1stGU9gN9wPbgLgz1B6nw9HWV8PVN2hT1kjIM9MpiGPQHGaz2rI1w9VYNpPXh2bz0qLXI9eqJ7PfYhcj3sXns9+0RuPdGLVz0N5Fg9mJlgPeDXVz34qVU9sadiPVU9eD1fqIw9M+eOPaabij3z4449efyIPSncdD3mo1g9rh5HPeuBUz3ihl09rSJhPbW0aD19qn49lel/Pf0Rij2PsJg9avSUPYTElD1I6Y89tdKMPeptiT3iG3E94VdePVItVz2wp0g9bBBVPeWAYT1EXX49RjyTPVa5ij2cY3g9B293PcaZdz1biXM9pKdgPSigTz1KnVw9padYPZ7+VD12a2A9HVVmPSA8dT16UoQ9k/JuPY3fWz3LuFI92BNdPe7NiT2PioM9LwSBPfIMdz3RjWc9YXxYPea4VT17sFI9PuBKPRyOSD2j+Ek9w7RLPRJcRz201UA9Tf9NPZb2Vz2ILko9Z/MsPWQ1Kj2ILTg973Q+PcTANz2Uay49Jl86PcLfSj2VnkA9Y7A3PVD6ST1domQ9Lnl7PSzEdz3m0Wc9wWRdPWugbT1fS289n+l2PYJQZz1KrF09V2xhPfcuUz0Rwkg9eApSPa6WTD14JlA9G8xSPVkPRD22Wzw9ma85PTTBND1EZD09lO1LPT8kSz3yB0c9FaBDPS27MT1JBSU9iihaPXIkPT7w1Tg+ySxAPlJkPj4FYig+YIkgPqSLDz5oPRg+/AAlPg4YJT468C0+PcY1Pu4rOT6rIS0+o5knPlpXMD5oVC0+dA0iPg+vJz73kCg+/rQvPn5xKD4I4Sw+/Mk2PlxVPj6MiiU+HwEiPs3JKT6/his+ylowPr6mQT7dNjI+p0Q5PkCqMz6UvUs+6VdWPtcKOj4l0zM+aGQ1PjA6Nj5FvkU+f+I3PiOtKj4uGDE+RbhKPoUXUD6jFF8+pqJQPo/CTD74fEc+vbw9PnXfNT4U8UM+GbJOPqXKNj7QtzA+Ui42PhoSHT4bgzY+Lv5YPkkkPj6G1jI+s002PtwpLz4m6jk+DIA9Pl8PHz4ziRY+3cc0Pi/OMj4mSDY+tjNNPlSoTj7FhGo+cFCUPsk+pD4IO5o+P9U1PtLzTD4MdlI+h/g/Pk/FLj5aKjM+mGMpPnruMD5CKDg+KaE6PmMGPD7zZTo+tm0+PsikND7iSDE+ogNMPk03RD4YkEk+GB5MPqPbST66/zY+XvslPm84ID7gKCY+uOorPnvaKD5ijTk+TnFCPnoVOj6yfS8+Hk0kPprxIz7zHzE+NX4wPsO3NT55gzA+lvs3PpEkST7l9DY+nX1MPryMWD4EaUc+/sdOPtMHTz5wmT4+IPFAPvjuRz7jXUk+UXtAPnBLLD7L0jI+QJchPk4sGD5e5iU+iIE/PuLXND5ksyI+L2snPseuJD5lmUg+gZVtPv9hUD6ywUI+G6gsPi/yIz6mNC4+Y3YxPiDAKz4TkDA+svgePkuoGj6lPC0+pMU1PrK5LD4i+Tw+jFU+PgjIPz5kWUc+xcEdPs51GT7f6CY+LFk/PgtNRD5vrC8+DwAnPm9yIj66iDc+fEc5PpqqJj4JDzE++Z48Pu1BNz4r6js+t0A/PobSTz63Vzk+hoUnPhzdKT6gNjA+b50qPg+4Lj5z7Cs+wg4fPrakGT6W1DM+auBSPjrVMT6IMjI+loouPtONLj5BdzU+CggrPrxDIj5IVDE+5MkhPsZkKT79nCY+TRcjPqByEz7KPzY+VfRRPoqDNz4hPSE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/hjW6PR9Amj3u2Xs9QvRqPUH1Xz2/mF49cXdcPWgbaz3mr4E90fqLPdq6gj1Enng9NWx0PddDZD1/AW49KuWCPV3/ez3gwXg97m13PcT0dj3Vp3A9sjdjPT1fWz1/imc9jBllPdzzTT2xeFI9rwZTPRM1Uj02xkQ946tSPYw1cT01ZXo9UOpsPS0Pfz2HpXs9yq5wPT1wbT07w3c95oB5Pbvhez0GnXA9xFWDPYedeD14dHU93RmFPRPBij1tOpE9NtWFPTwXgD2g7mQ9eq1VPbRJTT2phFk9o/5cPdWeWz0xv3k9coBnPbxBaT1tZ4M9tdKHPf6pgD3wim091ANcPVBvWj0LV1Y9aVJhPYZhgj2YSo09BeaMPbhohj3aLVw93URNPZMPTD11SUk9DipfPVKaZj2qzHA9zNFwPcORfD0loIU9OyZzPe5JhD1i9Zk9zDGqPR9Emz3KjJI9gGmEPQdgcD2jGU89QJhDPXsWTD1MlVg9rdJ2PVcnhD0ap4E9NImNPdgCfj1Xhm49ZJl7PfPiaz0NYFo9ZxpdPV8WYz2pSHI9UXJtPUThZj1pX2U9dgZSPWKTSz3BUVc9bGlhPYGQdD10VXk9vQ+KPRO/iT2N5G89mc1dPbcMYj2Vi2Q9AwtRPQoJSj3GJkI9FP5HPRNFRz1dBVA9onBMPfpoSz3ZKFk98YNfPfWuVj0lPjw96B0rPRc+LT0XIT89nC5APYmaRj2ejk09QldUPRSESD2+Zkg9USxcPZ6ZYD0zQWc9S4x3PdGBbD3ytGQ9TjxjPfOyYT1AGXc9oXJ1PeVVWT3vyk89KXRbPcmHWz0UnE49Qz1HPRRvSz1r1FM9+URTPX/gSj37Wko9CfA3PSVZQT3m9lQ934RpPXaHXz1MyT49dqgnPUszEj2TFwM9kWpCPXB24T0RRQ8+hghDPiOgOz58oCo+QyYhPoeYEj7ZESs+ABRJPn0xFj4KeDQ+vkswPvk/LD7ZCzM+X+EkPoh/JT4ihyk+DPgtPve0KT5L9Dg+RZZFPmF4Nz5cKDI+/n1GPuQLOz6XNCk+Nxg4PvuIOD4PPjM+h8M/PkHLOj48wig+JSZDPimHNT7DMC8+jtNYPsXHSD5xYCU+38A5PkSSRT6G3Dk+9K88Pvo9OD6mfS0+4+8+PgaATT5mhkE+/DhHPhyyOz7T80Y+GD1CPt4xMz5vbTQ+qEI1PrLOKz5XRzc+2Z0pPhVoOD6nCj8+E0JIPj8COT6pGzU+yHEyPlMONj6hnUE+FFVGPv03KD5+FSc+GvREPmH0RT47O04+ZDo8PkiQUT5wu2Q+htmKPkFbhj59pUk+/DtZPn7vjT6akGc+rCE6PjiDQT7hPEM+IvgxPrHqNT5rizI+i0E1PpgaXT6bPmQ+/MhQPnbxVD5HeEU+gAdBPpdrSj6AJk4+gVVVPnsxQT6bJCk+Z0YuPoygLT4o8is+S3YsPpDaLT7kni8+4Cg1PvHQOz5l+S4+t8IgPvP4LD6QMTY+8GYwPixdNT6FuCQ+LfkMPgbAxT07qdM9lekkPlK5VT4C5UY+vShIPtNROz4GWlE+t8pKPnvOQD7wHTw+XD0wPh0fLT4KFCc+H+UzPs3KND7Vkis+P+gzPq78Nz4SNSM+esYoPqTCKz4KHUs+pPNZPjN6Vz5FCUU+meArPgjqJz5vdCs++eAoPhT/OD75His+RSgoPgQGQz44MjA+REsuPrlJSj5M8D8+BrsyPplvID4vPUY+fEhFPv3nJj59vB4+8hsoPsEaPT4diUU+ABYjPubXOD4xEzo+mp40Pl/2Lz7jBDs+rFkvPr8LUz6TokU+mwAvPhopST7EUjo+ZY4hPtlgJD7t2i4+LixRPtcJRT4VOSM+hVkkPrptJz6J6z0+qIZtPtfoTD7KjSY+FQVBPivJRz5yxyg+zgU7Pj/gLD51MRQ+i8MdPnLVHj6+IAI+fvoMPrf1BD7cvzY+iRhKPupuKT4dSS4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/OcaPPUpUgT0jvHA9hRhlPWqacD1ugHE9U9RsPSdheD3ze309s/+EPWvKXz0GIEc9Lw5VPSf8aD1HnH09og6FPQD3cD0tCWo9RAduPRspUz1t4ko9rXZXPRYvUT0MkVI9elFePRU6cz0R5XA9wHFgPcwzYz1LLnI9fIlxPTumcD2tFWk9DEdpPVDPXT3PFVw94mFvPYoxbD1pwXA9AnWGPYHchz1BoIs9kymGPayDhz3ebow9yAiRPRzXkz2PsZA9kw2HPTGehj3XQ4A91bRhPS7KXz10WGI9h0tjPWhmdD09T4o9otqMPWfQjz2VHJY9gal6PSykSz1USkc9IshUPXENZj2OfIE99ryHPcg5fj27THU9ERlfPQ/uWT2UbEA9BPM7PeSWRj3PMU897iluPekwgD1x+YQ9H/1/PdE7iz240o09tD+HPfKIfT2A94893X2mPbpSjz3qQHE9zE9QPaG5Rz0+dUE9au9SPSsWbj2JYYg9BMmKPZb2iz2mZHM9zANhPYYGWT1312U9dmlhPaFDYz3KfF09FxdzPVGafD1w5YM9kbh8PccDbT25jVU9s4FMPQ4fXD0/zV49SdN5PcgihT0b+3M98OlZPUykPD1uoEg9oB1aPe64az1BgFw9scFMPaz5TD0w3Eg9yZY7PSdXNj3EXjM95D9CPeHFVz109Fc9VcxAPUMSMD0l4DA9C/s3PSmyRj2cRkc9vCJNPblDUD034Vs9XLxfPTadaT2BgEw988VRPW3BYT2zt1893KBgPb0gbz2BU3Y9+a5vPX5Lbz25UnQ9wxKFPZKAfz1TRHk94nViPYhZWD0ADlI9INlOPXHSTz2SREg9EW9YPS+6Vj3YMlc9bO1TPaFBZT3psVI9prFePWjcaj2fTTY9IRAHPUFdAz3S9+48L/AZPbZMLj12nZU9bbk4Pi/9Zj52tzI++rsQPgHmKj7FOho+41o6PoHyND7GQyY+z64vPlXMNz73QzI+Y5oePr7mID5NlCk+z8onPo6RJD74yTE+GB4/PtNkMT4FMjY+wnY3PuCdPD7StS0+5/hHPqojVj6d1T8+FINGPh0kUT70tzM+GhFFPjnPRT4gQik+8Dw8PoQHND5ajDE+J2M8Pt6ZSD6zqEM+YxEVPiVz6j3PF7o9DgPAPUqA1z1mJRQ+HdEIPoyMAj6xHEA+K/pHPuKoQD69+jU++CgwPqNZMj461zg+tLghPnPiUz4I/0o+gm09PoLNKj4rBik+bvg7PqHnMz6MmEU+0xtJPjmtPD7+cj8+GedAPsf5Oz5/UTg+fLwoPnjXHz5h6Co+QJ5BPunBTz7DxDE+sTk5PpdOSz5OMzM+x/1FPhOwVz4/Ikg+KwlIPgeePj4kND8+xFtEPrNyVD66qTw+hp41PvooNz6Xjjk+oG0vPuqkOD4x2DE+yuc8Pka/Mj74sCM+p/InPmE5KT64fy8+jdInPt2fJz77HCo++f4wPh46Mz4RsC8+32s/Pk4TVD4noFc+v0lPPpcMSj4BLVY+8ZZEPgWVNT4FFTA+Y79cPndDYz7bp1E+6PQ4PrdxNT5PLT0+LTstPvWoOT7xSjE+XX0hPrGTHT6l/yo+gYcaPs3eLD6ueCQ+u55PPi6UQD4/Fz8+Xk83PhyHNz7rSDU+mflGPjBMST5EjzA+XlgqPnlNKz4RbCo+fjkqPgfWKT5WvCw+RH8rPrMHJj6eWjU+aK8cPszjFT72kyQ+oD0sPrV8Mz5jOGM+DBZOPneBKD5mvSA+qvwxPrj6Kj5o8U0+z5Y0PjQkYT6vjls+MMc7PqgiQz76R1U+nNZUPpGpUT68o0c+jiQOPsV1Gj4TEjE+pWUpPrqyIj7OqSc+7PJcPrcuPz6weSY+9EcePu1/JD7YXDQ+HFBWPvgaPD5zEyA+/fIxPpdrLD6B8iY+hIYyPl+CST67TjA+hjY4PseVED6x1vM9zMQIPtRjCz7ecSc+G6oePnR0Gz5OZxE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/msauPduAkD3gg2w9Z31uPTyibD11WnY91O5sPaSDeT0ZbHw9KwmCPcbvhD3eon49v255PZvrcD0x92k9z1pzPcEsaj0raVc9OvFRPa/tUT1rU1s9w0BOPbwOXD1e3G09fhR9PckklT1KeZo9afuIPTATgD0Wk389Dpt5PZeiYD3Fil49ZbFoPbxFZj26Y209Pf5sPYZjbz0K8ng9ddmCPZi2jj02BZ09juecPfJOpT0Mcak9xQyoPflElj2q/pA9zuaFPVssaz3EnFo9Y51ZPTWBWj0T+3I9ZuCAPREfhT2VBpo9Q62QPcvpjD20oZE9lNJsPQQwWD0D6Us9n2JZPSludz0zNXA9yPdiPe9WYT1CX2g9tUZrPbSCWT14qlw9/0hdPYnHXj0euW09ieSDPU5Yjz0ktpE9oeqDPS8xeD2DOIc9L1qNPbcOiT3B1o89eI6QPTlVdD2gQV49aMVSPf9DUj1bUWU9B5GBPertej09F2g91fhbPXhCQT223lg92QR9PddjZD1hgWI9EmtsPfTTZj1MMXE96RpjPQspYz1+wmE9PrJlPR6kYj3eqVw9x49cPSW1dz2LBo89mHSRPZh+jT0iSYY9brBmPVsgVz0ti2o9wdBnPci4Uj0wqE89+OY+PXhmOT0xrkE9n7o9PRFAPj3em0g9KAA8PeRJSj0JbUo97ZJBPSC1Pj0Kejs9FvE7PXWEUD3TolU9zjFBPUjVWT10M2Y9/9RUPcI5Rj3GWEg96V9LPZfUWz1aZVo9DyRePQuecD3ZeXw9FHx8PYMpdj1odHk942NwPZS/Yz2IL1c9Ma9APcSsSD1JSFE9WBZdPeXiVD3hS1c9JaJbPTzaZT0VCGo9VZVbPRiZcD0mZYw9j+SZPWN6kj25Vhs9EC7nPEcAAj3KGB49mgkcPV32cD2omxE+Z39fPu2GaT6JCjM+Nu8kPgacKD71QDk+A7A/PlrfMT6KoCM+NwUqPi0kND74FSQ+Oa4qPlfhMz7KZSY+5xwqPgm9JT7KDy0+yYxHPsIFNz7McDM+Q9E8PuitRz5rA1Q+b3ZTPnFlQT5XOUc+gedcPsWuPz7X1zk+nRFcPiUrRD44OSc+Pq+APqccGT6a+zo+Xr02PhbkID5g+SE+EP4YPlShMT76VDs+gmk6PvzNMD4oJSY+WMoRPis+Gj6+n+89wqYKPscsLz70szo+724xPpR9OT5yZ0U+4/hZPmlETj65PTc+3TE+PrNdQj4MeT0+NvtAPsqQUD6B4Uo+ErYwPu0EKz7EZSs+aBYsPkD1NT7VKT8+r2Q6PhZtNj5Hpyc+KBAoPrrpLz73jCw+wY8dPvmcGD6JBCA+xDofPpCMLz7HKyw+hsRIPiMCOj4iQzA+hGRIPvw8LD59uDM+J0IqPtbbJj6QECE+rUQjPrmuOj4P1EY+DN05PiIBJT7LZCI+rLcmPr92Kj4Dej8+p1ExPjgOPT69jDQ+7L46Pt2vXT5wLlc+YbhIPgsnJT4b9SA+a0QuPrBfNz4kulA+GzlTPsz1Vj5qmDA+j/tNPpzmWj7PmGI+gbYoPsQoJz6QATA+G2U0PhcIPj5PQTw+mtcuPjsSKj67wh8+4HkePr+/Mj64vzQ+fSEvPk7wMT69cTU+zbgwPuxoMT46uSc+NGcqPk9LOT60dTc+HpkzPojTMz6gdTE++XgfPvhaKD724S0+v2cqPgJ+RT79hl4+CBA6Pou8MT7v1R8+69wyPiJFLz5mDFQ+EmwnPrp1Jj5WSDk+/SAwPqUNUD7O7Us+bgFFPsfqRT5WKko+DFlYPg6oQj53QDs+GRgxPnOAIT68ASQ+T9YmPkwMGT6o3P89pv8OPmk0Kz7DWTY+9T1CPk8lLj7edi8+em8sPuieUT7nkUU+zKozPv1wOD4YMSY+BIU2PnlxMz7SQi8+ucMcPq30DT5TxhM+uOsrPqiaJT6PbgM+iVgEPv7fBj45EAE+USb1Pdz0Ej5Dnvs9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/qcasPXvjlj2NyIg94vWGPTVYkj3npJ89QQ2DPVDGbD2+ZWw9IulwPSlefj1ddYI9rKx/PcAMbj1Wbm09c25pPWoUVD1y+Vg91iFiPQf1Vj2foVE9apddPQ46cT0S54Y90/2GPaH9hz1zUIQ9YfOHPZ7wfz3ZpXA9sCBYPVgSTT039U49jU5OPWmWZD3aVXI9vhp0PVAOgT0//JE9iY6WPR9lmD1cL6Q9xdqcPRvtjj3bRI49fbuVPbxkjj3LNYU9EzhzPWbvbT2sr2A9yGByPSiTej3dRYE9/NB8PQ/EhT1oM5U9awWQPfuZej134nI9xZVkPfx0bT1JUV49DR1SPcF7Vz0rgWQ90H1uPYGaXj1mwWU9pldbPXOkVj3Q5lo9iv1fPTLlXj2K9HM9KbKHPYjkjT24fXk9nD5qPY1rej3qoIc9fdWJPYiSlD37pJM98w+SPdw+hT3StXA9QZZePQrQXj3opWY95RtYPWyBVT2C7U89/WJNPfMtRT2U/0w9mOlkPYDEez1G0H499CWBPVU8iD1VInw9oO9ePSeLXj2XFWg9e51hPTnqYT0TwW09xb1sPSn5jT34C5o9ZBCMPcsBaj04ZFU910ZPPXOXPz1WXkQ9a8pDPYEmNz3qx089JjBUPW9zXz0R8WU96+JpPfX1WD0kuU89zfc7PQUrTz1KeU09xHQ7PRyEQz2KH0g99PhRPUHqUj3Bl1M9BdY5PQJBRj2m1UU91JZLPXygXT1gGFU9jChiPRJCWT1IkGQ987FvPd3mfz2junU9QeByPT6UZz2RCFA9oh9BPfB8RT3sJ0M9qMlFPSqBTz2N0Ug9aI1UPVVUXz0TK1Y9n25OPdBiVz2ie1I9zA5tPcbL2D1KSS4+mwFzPiF0Rz7lA5o9nbN8PSashD1QeZE9Mn+ZPZX/Cj6v6k4+agxYPg5oSj65+UQ+wYxJPvASMD7z+i4+kDQ1Pvq2ND6kpyE+AKgbPurHLj52Kz4+t107PpvSLj538zY+xWY0Pjd+Ej7LID0+CipfPmPfSD5O9V8+puRdPphqUj7XmFA+/FFDPj7aOD5LPC4+WkEpPjKIHj7slRc+GqAfPijwCD5bgws+LkvbPTV5zT1qq9k99E/wPeDtyj2CD849c1AXPmhOKz5hlk0+VBZLPkv0OT5MATQ+h0otPow+OD6aoEQ++182PtCpHD7hpAo+t28PPuovEj6ufBE+xjEjPiSJLz6qxiM+buIgPqlTIT5f3is+TVEvPv+tND7pfS0+n4kyPoc6KT6KODo+Jqs6Ps9OMj4rlzY+c9FEPoHcNT68iTM+6nQ4PtDAMz4AuTI+o50fPi4EIT4UVh4+86crPlu+Kz6pVis+r08lPs8qIT6/ESU+yA1FPiRoND6DKjI+dIkyPke0Oz5Kjj0+6Dw0PoBROD6qQzs+/489PpleJT5oACQ+rWkyPt+sOT4heTw+6qtDPoDOKT7hFjA+0NdKPlSrUD4N11g+skZVPlAHKz74lS8+EGVYPu1TUD6wZEo+r9VVPu6lNT7HUCA+aCctPhOBOD7Ft00+uDsvPuq8ST6YQUU+yhotPl1xMz4e9jQ+kCI1PmCrMT47pzA+O/NAPq85SD5IMDk+kL4mPlDfRD6YWEs+jEA5PoBrLj4VbCM+ptMYPsgwKT5wdSs+30g8PqBVOj4I40Q+KgYtPqW9Pj5rvTc+mAc4Pr2bTz48UDw+T9xZPid7NT5+XDQ+qi88PtHVKD5HCCo+OW8qPq+2Lj6feD8+lmBDPsl4Oz7JVjM+Z/lRPmQjTj69wTI+GncwPhTpND4ieT0+fkVBPkHeRD4TZVQ+A+RBPu6pJD6Ocxw+97sdPtGRJj4ZEB4+x8MpPqwLKj6S9jQ+V2FDPs6NUD6U/kE+eEkmPmh+Mj4n4yo+EV4dPrPsJT6kVCQ+PFgiPpl5Gj6SMx4+rGUgPkEcCz7QXvk9Qi8EPmjgBT6UtAM+s7rxPXC/+z1Iy/I9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/52xKPtmE+z1TvpM9tRmsPTb0mD2puY89Hlp8PaIYXz2R71Y9FDNVPe/kZT15wIA95VN2PeF1bD3/s2Y9uVKCPUIzdj2FsXA9ELZ0PT/OYz0lllk9x39gPcXmcT2WhIQ9bdqDPSZaZT0EAlY9zNNWPaQkUj0i2GU9oUBfPZobTT0h5EY9CSVJPbmAXT1QjIQ9+IeLPZGRkz2qHos98Y2NPXxNgz1wjmY96zxqPXTDgT2c2Ys9xRiKPYcYjD1QpX09BJJqPXWnWz1/nn49H0OGPWfFgj0IQpc9jPabPX4Vij0rLXs9EDZoPeNoVD3S+lk9PSNcPaJqWD1o5Fc9IcVhPU68dD3vt2g9QJ1jPTk3YT2RwmM9QJJmPXGCcD1ztmg9KXJuPebPfT2JaXw96qVtPSWvYz3d2nE9qyhzPQfzgT2bcYY9gVOKPcrBnT0RoZU9+cd5PcbcYT02Alk9yOxqPaQXcD0zbG0953hNPUlMRT38Fkk9LLhMPeB9Xz2k+W493wh3Pa+Kej3kEHk9DbxrPf7SfD2rsGs9fJBQPU9iXD1y/XM9DvdrPS3oXT2OnGU9f55tPRAWdD2Y/Ww9631OPUIJQD1cNj49RYFQPdWTTT0EWko9/bxOPdnPUj0SQGM9OatXPX1kSz2Ck1s9GahrPVXmUD3QhUA9QrczPUu0ND2xaEE9f7REPRskQD21jkM9SiBCPVWMVz26TlU9fKRBPfx8Qj2cokU9wntcPaV/dT06gVY9QgNZPT+RZT0sbn49o2h/PeV1Zj1fAlA97YNHPW8sQj1XiTk9gZtKPTxGSD3f8zw9J5E4PZBNPz0qOlo9FIZWPf6sZT0efGc9MKRfPWBHVD0F2k09nD5oPbvd1j2Nhg8+JtP7PSoX8j2oxcg9P3b6PUhPET6WUEk+rhcNPpluIj75XzY+yPpKPmwgUz6XTko+WBFSPla3WD7Jn0k+FrQ+PqwjNz4k/zA+lH4rPmmwMj5KVzQ+Dg81PjVQOT45iE0+2XAnPrhVJT5TLjA+v6skPujfEj5zwgc+n7MTPl3KEj7p4Qc+9qcNPnikCj6v+g0+mfkgPtfpKT4ouTA+TtYiPkkLID4jkRc+75AcPqE8Kz5XX/k9juz3PQ4g1T2deuY9g1gnPjQlCj5rTCw+6lVRPn6lNT7Vqkg+y7E6Ptj9Mj71ajo+ogE0PlvqPT4GFTI+Vgg0PqDvRD65pj8+8A0+PrNMRj6P90A+xzw9Pia2KT7RHzM+vuE0Ps2hPj78kVo+/TZPPvU8ST7GfEQ+km8zPtB4Oz49/DQ+gNw7PoaBMT5b7kA+DVpJPlB4Rz6seUQ+Kj4wPlgsJT71JUE+WmA0PqLxIT5/mSw+aEgsPkLOIz4UbTg+rDddPncWJj5aZkY+xXRGPhk5OT4M5lQ+Hj89PggrKT4j/iw+jzIpPs/8Iz5uxyk+yk5BPkFAPz6zZ0I+Q/FRPlzOPj7Yqlg+A7RhPtYQTD43PFk+sAJTPifFOz4Uwjs+B0ZxPkyDTD7/hy4+k8Y3PmH4Rj7avzM+wNoUPs7ALj5WHD0+6wI0PhSBQz5w0UM+F5cnPj1bJz6RuyY+J94rPo6mJT4eGjU+KzQuPqd0PD6pLjU+LLEtPmieOz4tBT4+lJM5Pk8ePj7tETQ+disgPs0NMj6H0T4+6PwzPrCbIz7iwiM+hBcfPmYGNj7DFDA+F+86PnyLSD5opTs+0iRFPqO+Uj7scFI+jLQsPokLSD4SBD8+dKY4PumWPT4iU0o+J7A/Pkn0Pj6y/S8+ZQxPPu9fQD6FLDc+O9U9PtgjKj4TzTE+fZA+PrHcNj5LVCg+gmhBPvlZMT47xyQ+JPMnPurTMT4qPFI+fLpMPm9QKz7WIR0+A89LPk9BST7JczM+wvlTPro5Nj4jUzA+VksuPqIDID6iMyE+/skwPuEOJT6DxVM+wNc5PtwDLT6R7TM+kgQmPqCoET5Fkw0+JCYGPipmCz4d7wg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/zuZ/PknPDT7C6I89CPeGPYsKZT3RwlM9rVVNPfVyUz3xpW09brlzPZp4iT0VnJA9nxaSPRLtgz2gGXE9Z3F4PT97hT3FHIM90OJ4PSOHcT37I1w94+tqPS2/ej3VTF09vgNJPSJDTD1pLU49urpJPYHhQj0eeUM9WfhaPVTLWD1l/lU9t65yPSIdgz1bSIE9gK59PXy0cj0FNGI907xQPf1paj3gN4A9q4yDPd+2iz1q/Zs9LfiaPfZ6lD3Gx489oxKHPeiQcT2GAoc9XHONPRragz1lH5Y9TdGIPVS8bD2ikk49mQ5IPbTBPz1D70A9lI1ZPZ5jcD0j6mk9jnF7PR+Fez0bqHE9H5lpPWwzVj1HcFw9CYBfPTqQbT1rPG89egh9Pf0ngj0OnXk9AAZ8Pf9xgT291ZE9vauWPb7qlT14/Jc9k3yUPaZGhT0MN209Ywt7PbLIfz0BKHc9PzRfPT9+ZT1T9WU9TlNnPd/7Wj2byE89fvdvPW4heD2pQ4Y93W6HPS+YbD0jHVc91sZHPcA4Uz3Fx2o9cqtaPXfNZD3hnGQ9cwliPR4faD3Gx3w9zYmEPXf8Zj3CMGs9uCRsPT/AWT0LDlw9SsFaPTjWUD2AmE09f11BPYUVSD1Mekc9ssFTPaUWTj2kzk89Tw5XPVrPTj0+UEk9fwVEPcAcPj1b8zk9uWI3PRnMOD1iNUY9SdNGPfFPTz0t0F49TXlVPRusTz3CR0U9t6JUPZatXT0CfUU99phaPViQej3n7nI9WDNgPbvnTD0lGDs9LZU/PTCRQT2rbUc9WWhRPSpxTz1rM0k9YU09PdgsOz08nU49t75lPXgJaD0r+lg9N/xEPQD/Tj1HoE49vnc8PdngVD3NbIE9pB99PS9tAD6T2do9rzvlPZYi9T2+PLs9FUsnPnhrTD5ty0k+hH1YPuyXWz4d/lw++nBEPho+LD6eGTE+OPE+PkFsUT7t4xw+UFoHPst8BD5Q3/I9YTQDPg6jDz620Rc+44YUPk6+HT7MYCA+I3cePkIlFT6wZCU+JbZDPgqKNz5k1zQ+LJMYPjiYEz7hNzU+gaQ0PotyLj5qai4+rQ8MPlt4JD7rGTo+114mPvssOT51HGQ+TItRPu2kOT43PyE+lecJPkQq9T2qGRE+s+ohPkS3Dj4piyg+0J8vPuVCKT5fIiw+DNcnPhWjJj5MvCw+fn4zPikBMT58lBg+J1wfPlgIGj4HEUs+bhJDPr31Nj7y+k8+AF1BPv5KOj57UCA+dog3PgBQUz5tcDU+KlojPjkYUT7N1Vw+luwiPnf9IT50nE8+3OBkPhjlZT59dU0+mSI/PpCeOz5l80Q+oes0Pts+Kj6Xxik+3vg8PiLSOT4JW0A+U2BgPsneKT7tTDA+5Ec0Pu1JMz7O2DY+2ksuPkhYKD42fDg+YCU7PoIcKD6m0TU+8vY9PspVLT535y8+9HhLPl13QD7LqDU+d2o4PodoMD5LPC8+5bM7PvxbJj71m6c+dQWcPnTBWz7BkTw+Jk4mPlspHT6wbys+CspQPhV7WT47TFc+zWhrPi5qYj6r0E8+V5I1Pv2jLT5ejC4+ulE6PpetNz5v2Tg+8eApPtEWLT5RdTY+yOYwPqRFMD74YTM+CbE+Pr6OPT7MJzc+YI4kPpjNQD7mcVY++4FAPgDRJD5EaRo+7FgTPmr9KD4QhyU+Jp0pPkdkOz4TKD4+3xghPg+DHz7tZSA+vQ4oPrXdQD5CNCI+LslEPuhXNz7vfSk+Gh89PpPJRz7R1E4+1j9JPmNrLz45wS8+mnIuPlWyMj4fXS4+Tvk5PoLfQj6yPUY+PGxnPuonPD4liB4+u6kiPvqWLz6AgSA+p0ZlPuL/Pz5MzSc+GsojPpXGTz4OY0g+eJFRPuEwQT6PcTo+KUBWPpSiRT4CDTg+4O9WPr2gUT4XzTA+2lYwPijhMz4TgBU+oB8gPsd1ED7ksxs+CvAbPsXRHj5e1DU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9lPpj00JHo9pXp1PV2ZcT2nmG49c81RPWp5Xj1PkHk9kSeDPX/Zgz3cVIo93MKFPS20gT03yXs90kNfPShAbT0D8309zxiFPXfBhj0tFWg9+cZQPc0HTz3FDFg97HFnPUGyWz2/m0Y9RvpOPcQ1WD2/yFs9gwVoPRhnYT369X89UZ6APSCceT2xS3o9SkxvPTnQZT2wzWU9PTZePdEjaT2Sh3c9hk2GPWnalj0uTKM92W2QPYZagz1QQXA9XndqPbEBdT1sPHo9P4puPTgPcD1Wjn09/hZmPVBaTT2dLT09W18/PXr5VT0NJlo9G0RiPVBvZD0LjVc91rlTPRv6Yj2qjnc9X+WAPeAuej0FAYQ9RhSAPQBKhz19Ooc9RiKOPUN8jT3J2pg9geyaPfeVhT2Lj4k9uRWXPU9Vlj1B14Q9Tzh5PeWLdD2rhWM9Fn5WPW2yTj1N8VM9zsllPT2Gaj01PVg9GkZhPZzvXD25q2M9/AF9PVK2gT07loI9scmJPVvIfz3C12g9R0VtPT43dT3ISXY9YLppPZ+veD3yq2c9q9NaPZhnXD29XmE98plhPZ6+YD0+xWw9RvF1PfFddD1LKm09tjdaPZMLQz0pzTQ9dAszPVN9PT16r1Y93EFcPdibYT1ErHA9C+NyPS70Zz3/mE09ADRJPfs3ST14CkA9MS1FPX7tPj2HmUg9MTNOPWX4Qz0BRD492SBNPTrZST34F0w9IF9LPUQtWj0R4XA9RUV2PUiRYz0v5Ew9Co87PRysQz2pDzo9zEk7PUDVSj2MlVk9frNYPbdkVz2AoE49aSdTPbE1Rj2CoEM9jEQ/PaoFPD1auEA9UxpBPbO8OT0GGkI9B9A2PdH7PT2JwE49/xpHPT28Lj0nJS09ebhfPTUm5j3FBeY9Up+uPR3nLj75YVI+uU5WPplBQD6J2DQ+XqA9PqqsRj7rSU8+jXdjPjvVID7fOsA9n7olPjy/Lz4IDSQ+KrYkPtFDHT5rpxw+SNwjPkMXGD648hw+abEjPjbKHD5D7ig+vksxPnRCKD41KT0+PxQuPndzLT6w0Ts+XZZHPjyvLz5vbBQ+2OAQPjsLJD6ewEQ+IFI8PrYHGj4ky0c+kwcwPhAPMD5to0A+4fUwPh09MT5M0zg+wTIXPtUHEz7RIR0+OppFPgDMQT4iTzI+IiUoPt0FHD7GBy0+h3gnPrBrNj7EGy0+gxUoPtzFLT7MLmI+4HRTPn+3Jz7y7gg+qc8jPk8nLz5KjgU+53T2PU2NFj4cTDo+hfw+Pkh8Yj6zJFM+Xm0dPt9zGD76lys+xoFEPgwNWj5Av1o+hu9APhC6Iz5JKh4+Ebw3PiJ7LT7mYTc+oA5oPqMfYT5Z0FU+Gu9VPmJnQj6PSFk+3ylLPlP3Wj7JM3I+HG8yPioGID6+Oio+7cE2PmDnMj4JDDQ+bgQ4PhpBLz7h/TQ++v1RPg8RMD7ZKCY+oK9NPrrAYD5xnVY+Q+9MPnN3GD4lTlk+jpl7Pl6uYz4CdTQ+X7ckPhpaPj6FslA+W75cPvxHWj5jtHI+08ZqPh20Uz6/hUU+ujNBPr1cMD7a0i0+X7s6PsUxQD6l9ik+Dm8dPuA6Ij5O+CU+VzkzPv+mPD4AkS8+Qrc+PhXxQT7ohzs+QMo2PnipYz4gjGw+ZFpNPinBPD76+S0+xtApPjZPLz7GhDw+C/E2Pkh+MT4+uDs+66U6PkngND4Kgxw+OoctPsVPNj4USSI+jMgoPqpcMT4LEy0+a2AiPpF1VD4GhFQ+UStAPvOlLj776DI+aHE0PjuZLD7PE0I+92BVPjnORD6/sVE+y8czPrddJD6oJC8+w9MvPvWFRD6najA++bM5PgXxSj7fOzc+ZQBNPmiWZT5ssUI+PO4yPmhQMj6sITE+hG8xPixYST78uiY+N6A3PpmMHj6SYCA+0TkNPoQxCT4jRgg+Hv0CPi69Cj7wPyY+VToVPiZTGj4v1RA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1oJvz0QOpA91tmAPe9waj1w3WE9xblqPeaRgj2W/4k9WwiLPYQQgT1vTHU91PxnPVIvaz2BGGk983J2PSa8Zz2TcWo9mLBiPZP9Xj3wAGY9ncliPed0WD3oU1U96GtgPYLgWT03/EM9oulJPR4gSz2P4kw9fb1jPVWbbj3L9Iw9dXOXPSHYgT2a1H89Gx96PQa+dz0h1209PEB1Pd1ReT1k64Q9NByHPaYjlj3un6c9AoqMPSxrfD1MQWw9H7NqPR5gcT1NJmY9VZ5bPQqwbz39PXs9E9ZgPVFuWT21mEo9oCxSPWVPaz36K2A9p+NXPS27YT3EtWQ9u6R7Pc81fD3bkYI9Map2PRzkfT0IHYo96pSJPUcyjz0hyok96QOHPVD2iD2Hs5g9g9GcPW+plT0r9os9JROMPY8hgz3amG49cuZrPUOVUD08XT89l2pOPdCRUj3DmlQ9eGhaPTa9Wz31+mw9RVFnPfW1bz1ZNH89iDeKPdWJlD3AvJE9edaJPTz0gj1Ofm89l8hqPZ6Fcj02rHc91Cx6PadGcT2xuFs9rSJZPdpkVj0dyVQ9P4FJPUWvWz0eqng9cpRvPRFPYz27x1E9gf9GPXyDOD0GMDs98iZOPVRyYD25YmI9zqVqPWvodz3/GH89AqRePWa9Qj2wq0k956ZRPYJPST11hEs9/KtGPRoBQz0VSzc9PG07PZZPOT1PrUA9xhNSPZt6Rj0WLVE9TuRPPXmqYz1I+2w9QyxZPSWWSz1X0kw9AkdYPWa4Wz3f9V09uEpIPVwbQj1I7mQ9zp1lPS+rSz3zZEw9k9tMPXw9QT32dUY9uThBPY7nPT2jEEE9S441PYPeJD0j2TA9yos4PdnjQj0oVzI9gLIgPSlRKT1OeDE9Xv0wPUPggD2SEBk+Mh7dPVJozT2+79U9Om/hPZKGCT7VPy0+MYkdPucLAT6BThk+5QsVPq0nAD6uCBQ+RKkpPuqrCD6tVwc+j2oLPnnXDz49bhM++okoPtNaIz7u9Ro+3gkNPvsjET6vaiI+qUoVPq7qKj4ksjk+zhM9PozmRD72XDc+Mv45Pl75Kz7PfhQ+yngyPvLQNT62zCw+IwUrPi2GMT7mDEA+mdBSPuDsQj79xjQ+BjIuPqqjKz7r9Bs+UgEQPsz2MT79Pko+LU5OPpq7ST79pC0+Y7MnPrWBGj7UzyU+MhcnPtanHD7T+0I+E+hePny1ND62UjA+hIw3PvNHIj4vPw8+ajIrPiPtMD6MTDg+K88QPiEyHj6+djA+nTQwPvVcMT7w6zE+0bIhPn4iFD5bMiM++EI2PmekJD72qUY+TM0vPqYGFj44wRQ+lBYyPjlPKT57eR8+HpQ0PhnSaj7sfHU+9/VQPoT3Sj7Ggls+GUdPPhsUiD7OkH8+tDchPgq8KD7XLEI+o9VCPlh7PT7KnUo+OeJQPvS2VD441lQ+1yVRPlbGWj4pWkU+/n0rPqzSJT5lFSk+65BGPvUjPj75y1M+7JVDPh9VKD6Rkj0+Q/RMPtHsZD4A2WQ+kShgPqEYhj7FMYc+ikxyPsv5WD7M50g+QqE4PsUtLD5s4TU+4nU1PggEND5XuCM+P7UnPpnBNz6eMDU+sbYxPu07OD7KpzQ+oGM6PjB/RD7QnTs+itspPr37OT4Y/UU+Tzs+Pvr+TD4qfFU++qxFPklPSj7Fojc+b6QsPphaKz64tjQ+ZyVEPp6PRz5Uqhs+nbMoPgrLMD7xUxk+WhQfPou8ND5LMjI+RZsuPmqPSz6SXzM+C2Y8PpdSRD45/UQ+Qgs4PvInLj70D1Q+bXY+PgHQPT7DfDQ+gZItPoYTJj4Di00+qOg5PldQOD5U/zs+8JQ7Pvo+Kz6fNS0+SYpVPvVpVT4O4Fc+ghZAPgutHz5SsyQ+fdAwPuC8Lz4QszU+ptc9PmPmIj7/Th4+raowPhYpGD6hHgo+SXsNPtvEEz5l0Bs+pVQePkBCKj7AfyU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyTwsT2L+YQ9vqeBPfnFdz2ui4A9fN+KPV2Plj2KrZc9e4CLPcPdhT17E3094/V3PfJQcz2fwnA9KYVzPa/fej3TM1o9BqVePe95bz2ieXg9VN5+PSmIgD1AwXQ9DkJcPW75XD1NZVI9kr5KPcE6Sj1AFnQ9a4yFPW7+hj1hLYU9htSJPfpadT3YSGU9YfJ3PdYkdT2xzmk96wN8Pek9fD1v5Ig9IVmIPcp7jD0pGpo9FAWPPXS0fz3p32c9uNhhPZldWj1kNlo9w1BIPXUmTD0YHFI9ZIZfPVR/Sz2P4Ec99qNIPVIjVz3fJFA9kiZcPYq/bT2DQ3w9VaR9PXdOdz2VTW890NdzPY0ziD0RfH09u5l3PY9SiT2MD409yEiNPYpLlT2uvZg9l+SSPUpYkD1GjoU9PPiGPX5nij2O4nQ9FhtePW8/Uj0d/0o9Ga5QPSazUz0rdG09DU+CPXZlcj3Z1mc98m2EPcPzkz3pcZk914CZPWylnT2qQJk9jhGEPdMpgT0C6W499ethPSqvXz1uGHg9wxeCPSgOfT03zHc9LuRtPWdZdD3Gx2g93M9hPZO0az2D/l09X1ZVPS+jWD3MTj49lrNCPV4MTj0QU1E9kctdPcwsZz3ZlW89oAxkPZnnYD2tuWg9cfFTPRbcQT3++EA9sT5APVeiRD3/eko9rYNLPTjASz1Z9EQ9MXY+Pex+TT2Gf049QntNPWS1Sj3MnV89HuNqPbf2ZD2KYmk9o3VlPaTMXD1M8Fc9Cd5bPVi6Xj0Pc0o9iGw7PZzIOz1gtkA9yKk7PYoOLD3geDc9xUw9PZtdSz1v9FM9P1VJPfgTMD1VmS89xhArPePJHj2r1h89KpwfPVkOJD29cho9KJcSPbKdGj1sYko9HZA+PUF3pj3bSTo+dlczPqctGD4RUxk+9xgMPhmkFT7f7i8+yuo7PnfAKz6EOCQ+ruUiPuonIj5tARw+9O0TPjRHHj4V9SQ+HYIrPjwONz5elCs+L4IvPlCAMz6XDjE+4i4zPrLuJD6rEx0+B/YUPqFDIT6YVxk+5/krPq/qWj5Y21M+CwAzPgMNKz7NDyc+E6sjPltJJD6JGBw+A5EZPpxART6vf1U+zCSCPh7UXj6njiQ+ZcomPv1rJT4NcB0+qnYtPjXyKj6CQS0+dvwqPlIlLj5HKSI+oYEYPpBRGz7rGhA+a0gpPltDNT5iwTo+dBBHPsQMPz4oIj4+KoM0PhchPT4iKzY+jYgmPkj7LD6j7iQ+FxEwPrC4Fz4juBM+Ty1MPqYuVj5LdEI+WOc5PiifMj5fpEo+ayIoPjMUCD7EvC4+pzohPq7KHT7Asjc+H+tCPr6RLT7pcQw+bYMsPkFcOD5SQTU+Z7MtPoYZMD7PfjA+mH8wPhhdOD4jWUI+YEw2Pib2RD42MlI+iblSPvcCVj4C5lA+ITdZPvUsSj6WKDU+amU1PnQrNj5BzUE+TepAPk3sNT7kFx8+cyg2PhWMKz7WakA+QFxDPkn1Lz4LwDo+BxQ9PldFUj7myVQ+tCdWPh3fUD7fPVs+tUtaPu1sXz5wKFk+6xNAPjAsNz6qsyg+kkkkPiX1OT6OQDw+uM1CPlIWWD6NVEg+bZI4PsNSYD4OHTE+QywjPhvzLD7fxDk+UjEePhM3Az6WnCo+CtEpPh1CPT72gE0+a5NmPuNPOj7nww0+FDcbPu92Lj6ZVjM+YYk4PhD2MD6Lwxo+HGk1PrvwQz74IyA+iKsnPpT/LT6uCCs+uZg/PvEvQD7IoC0+MNInPjZQJz5GvSo+mCoyPiAKSj5lgU4+TR81PuvzHj4/cv09qnUqPv7XIT7u80U+SwJFPgdiGD7DLB8+4QchPsw8HD4ykSE+G/wZPj1TOD5xHVw+u+clPrXUMj5TYDg+LIYzPlbhMj4m/Ec+F3o4PgCORD56ECI+znUiPr67LD7f6Q4+y/AEPpmBED7NvhA+t14XPiLZGT6nuRc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2ap5j3LT4c9OMSPPVKFjD33aoM9E8N1Pc3fcz1Rq4c9jceRPZd1kj3dRYo9ITdzPfIXcT27X4o9tU2RPXM3fT1caH095z2GPct6jD0cYYw93qeFPTuecz0P1V09OXdRPTn6Rj1Xskw9K+xYPep8aT1XPH09P1OGPWqCgD1iPXk9bJ1jPRG3az3qRog9edaLPUJqiz3z6YU9LWiCPfUOhj2ddp49WjuSPVPhhz1QFIQ9GTKDPdBWhz19B3s9KitzPV5udT1famM9YN1JPScDaT0tlV49KeFOPaFDTD3Hs0c9GshSPeajXT0hf2g9QkhiPR57Zj1+omk9a6R7PQREhz1XCJQ9xhaMPdLqgT1sw4Q9dTiNPZWyjz0+Bqg9FP2qPTShnT2BKZ89LR6WPRFmiz1a63k9mYt1PdGXaj3dd2Y9/WdpPUjuXD2iVFk9Jf9iPcf0dT2f5Yk9tEWSPbXIiT2KYYg9Mk+YPawNmz3WGII9a+96PeQKfD060mc9jx1kPUTUXT0OxVg9wmNnPQIpfT3qIXY9eNl/PXFKdT1vvmw9rN+APYyUaT0Z2mA9mf9SPZM4UT1gWlw9WJtfPTQaZT0NhE09EYJHPeOlVz1ZeGs9K+1qPX5mdT1DgGQ9Hs5HPVccOT3x1Cs9MOMoPZvhPD1qQUU98tpUPSUUWT2PMnM9G7FtPYMiYz1CQW49GuxkPb7ZRz1vJWA9GNBmPfjvWz2ZjVk9EqJePSYRej1xb4U9eI53Pb8nXD2hlE09PVFNPX0KXD1z8UE9Ch4tPcPvJD1ZuDc9OjY1PWc7MT2J20Y9ZL5WPZzWaz3UFFY9xWc5PYzVKz1DdzA9KksoPRR2JD0BKyQ9UAwhPZi/Ez20Mxg9Bk8ePY6SMz0dTjY9RaIrPYtM7j0/qlQ+94w7PtPpLD7Slyc+RnMwPq8CLj4TsCk+olw4Pm2NQT5btTI+FvgvPsNtLT4X3So+X3YjPiPHKT5rkCk+8dktPgW0Kz6ReSY+SrIzPvTXLT5s70I+0PdGPuLDMT4xzSc+EHQqPlHhJz5nKy0+EyY7PhkxUT4KmDo+/os4PkPUKz6vJCk+Ks83PtvbLT6peCc+65gkPlyrJD42OlQ+A4hpPgGHOD7WLxU+SahAPpEOLD5tVyQ+FRA3Pn2kOz4QW1A+WkA9PpfkGz7N3xI+hSQZPgGPHT70QzU+XFRaPpgFYj4vKjU+YIJmPqdOPT495To+7nw9Ps5oKT71yTQ+m8EvPuU+MT5KyyU+XbogPlUUKT4vlCw+YCQpPkl5IT5NzBo+upknPkwWGD6UBx0+b3s2PszIMj5RWCE+cRshPvTPQz6ju0E+u442PgztOz6khBw+UxErPoipJz7Pzic+ijImPlqcIT5KUzo+acQ8PiNdLT5bYTM+r9EyPpr7Lj48KzI+CI4xPn+uJD6imyo+d9suPh/EMj5uSUs+7xU5Pj7YKD5eljs+1khPPgIpUj752EE+wxBOPtnyRz5KKDk+IBlEPulhTD41eFk+ebVNPtdPPz7/3UE+OLkqPha+OD4X5oY+b2F8Psu5VT7BV0Y+3uNHPnadQT6hDT0+eKg6PjTWUj6mm1A+qwc9Pj31Rz5OOzA+ecZlPrzMaD7DKEQ+dXowPqcsKT4tFzU+/vBEPjVfMD52gBs+ehc1PvdEMD7opEQ+2OBVPq6eLT7KB00+aP1BPtoCMz56oyQ+bIEoPiKSND7eFTA+NEAvPuQAOT57hDI+iJYyPhEgNz5i2TI+ZY4jPjtoNz7rnUI+v2dAPsMqND688ys+6FA8PiOQQz4B5E8+Jdg+Pi9cLD7MCho+5DszPp8cRj5tiRw+G80KPjDyEz4u3CQ+NDwaPvAdIz5C6yk+oBYvPjDGLD6DlFg+1AdNPmlvPj6Sc0E+HZorPiZmHT4vICk+OCclPlK2Mz7GLiQ+pp0ePn7FNz5J3gw+lx4uPooeNT46ExA+bhoiPv6THz4smBQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwga9D0Ty5498tSOPf4/kT0Acoc9LcZtPVm9YD0OenQ9Tk2CPTVzgD3Md249CatiPZ2RgT2kY5I9vAmUPc/ZiT1otow9oOOQPUEriD0gx3E9VodiPRevUj3zbk09i8RPPQI5Uz1teVI9hEdRPYdGRz2rrEk9hltXPcMtaD0Q4nM9ly17PQgVhj1H+5E9cGyFPR7Kbz1IUmw9cSlWPdVzTj0JemI9z0ZjPXlddj13U489mHqUPXoeiD3ThYU9ZuyFPUSKhD1ETHI9/CZSPaA+UD3h5k495+BJPRkUUz1ToGU9uhdhPWbdXT24y4g9ufCNPaVhhD25XYs9bFKGPQlIgD0/YH09zgh4Pe96ez1+oYA977OKPVD+lz1nuKg9A324Pf5Wqz3L95k9112GPb1LbT1JAWE9rtlgPeRRZD2Md3c9YZN0PUtZaT3dd3Y9k+yIPYgTiz0sKJk9P8CUPVWKjj1AR4k9AA+KPfqChT18Fmk952pbPQhWeT2bK4I9rIFrPYRPcT1pR3w9gKB9PRDsaz09tm099ulnPQ0lSj2RHEw9ukJlPQ5XYT1IcU49MCk8PcVjRz1RlFk9N31pPdyMbT0dZHE9751tPWFKaz3R92o9qX1pPRCcXT0WiE09NgBBPaxFPj1/4UY9fqpFPbl9TD2m8VM9bXdePbGlWT1CV1c96htNPUDxVz0ua2c9d3taPQhCXD3l+Vo9Vw1QPeesWz3lJGc9MhBmPbyEXT0elUo9iGRCPd5uQj06ED89WJxBPbHsPz3+0z49VnxFPVJ9PT3Yrj09XfpIPSJQUT1pY1g91QxUPRArXz0HrUQ9aUYqPRYQJD3Owi898HM0PdadID0Flhc9wu8SPdeSEj2KVys9fTUzPRSJKz2IMjo9gYWKPXgoHT5Whi4+7IEePsDOHj75hiM+BZ48PhXRPD78bjg+9LMqPjuoKz7G0k8+80c7Pl8FOT5Vpj8+THg7PlzXMj5rbiw+AhQtPufFJT67ezw+KO9EPl2gGT6tEj4+YINHPuNqKD79KyE+w2gaPj3QMD5/RzQ+qWxBPhfRMT71xSE+FeohPq1CFD62HRA+NGQoPndGFz7Nxg0+S2oXPvjNKT5HcC0+3wsfPvL7CT4ZhRw+dYhEPsbBLT6TjRc+rAYlPn8wLT7YFTQ+FQJAPtw7Oj5NPSE+Xq4kPiq9Mz6jdkU+3IFLPleGRT4RqTI+Wy0yPueqHz73myE+1zsnPh7tMz6HsUU+yjM7Pg2wLz5pvzA+MPkqPhDFNj7n5RA+cAEOPnDlFj6+fhU+9SYvPuGsJj6bPBM+w6ITPolSED7MoxI+B9gaPhfyJD7RnjY+wnNOPvDVND7A/Sg+EoA9PsBdNz5g9S4+GakkPg14MD6U5S4+vbEjPjdtMT4kViE+MPNaPs0FWz5iZkQ+QqU2PuJoMz7jWyw+2fMzPl6WLD5KwjU+ql47PuYTWj/7Wgc/s/9GPrQ3JD7imSg+rRdNPlD5PD6QPS0+pkI0PuSQJj7iNxU+Z0YnPqmuNT6JxTI+UZUdPsqBOT5kLYg+aqxoPhWaHD7/Oi4+NDc+PjPKSz4LFVQ+DRhDPsbYSz6r7mY+iu5XPpFsQT5SiD8+4HNLPlRNSz70LUo+p1ZUPtruNz63Wi0+410sPuC+Nj7wLzk+o0tHPpWjMD7o0yU+CKFSPnurKD4B3UE+0IAvPhmmHz4mZBI+PqkWPuDyKD76+h4+ytozPvB9TT7Hjy8+ZkMmPoG/Kz7njy4+xHspPtEPOj5SiUY+DMdMPqEmQT7crDs+XtwgPgpRHT4i2Tk+1p1VPktdST5nEkM+XDE9PutZJD6TIhE+dLUOPly4Hz6piiE+xVUjPhNYID6Bby0+MJA0Pri6Jj6Aik4+IyNJPqwfRT6xhz8+usYsPmy7KT5iNSo+CUUnPpXHIT5JcCc+em42PoTdNj5qoBM+52Y5Pir3Vz5oKBo+aWMaPlqBIT7MyCo+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfx2z/j0o6p49GhGoPXvQoD0NMoc9cpF4PebSVz0pAVo9I7pqPRZraT3vpoI9m1GLPXkllT3r4qY9kYeqPWwRlT2rhpM9c3mDPVeZWT38qUA9qFI6PR/rWz3yKWc9EPFNPRL0Pj0GTis9lTsxPUhiNT08eEc9xuBYPb51bj2gfYI9PMKDPZllfj2SuoY99HVzPctbZj0KQlQ9XYNEPaGGXz0yOG09CleAPaGakT342pc9+VehPUiBgz0L2389Vd1vPZnKUT3YHUk9f5RQPQqPWD0NuV49v8VvPdsGhT26X4M9u4eFPWp5iT1dPZM9aheGPSUxdD0wB4E9oqKBPQLihz0Wy4Q9XNyDPS4/hj25UpE9BmCVPcBzmj1fH6I9TeCgPQkqhT07KXA9+4NyPWutVT28VGE9vQp2PfvMgT1J/4Q9iqiHPU1Jjj2SSZE9DDWPPcDSjT3BKIw9AmCIPVEShz0H0IA9ju55PdAGZD06b1c9mmJZPWf5ej1m7Ic93rt/PbBraz17cH09UY9sPYGHTD2PEk89PUBZPUepZT0jcFE9zi89PdZfPD1Iszk9x/xAPfLuUD2+UWE9bT96PSNViT185489WFWIPc52gD3dMl49sHlPPVZJRz2VkFs9ktxcPZpbVD16PFM94YZYPcwacT3ZznE905xuPdjWaz1/sF09WE9cPQ0UXz2ppG09pZdfPTqyWT1o02M90fxkPdxOhD3VjHs9dpZUPcnkVT3JBk89Y6ZMPenkQz228TU99Y02PSoCMT3UoD09so+YPWtr0T0mAXw9RC9ZPV25Wz2idFY9BSQ8PWjULz1Sljo9g+hFPYLTPT0oEzw9F58xPZtxJz0o2i89S+YrPS+1Gj0d+ig9i5EQPfjSCD34FkI9cEINPh4/LT4RJxw+3ooZPlK4IT7ZZyQ+BlYtPjhcMD6+Ii4+b0BDPrkiPz63TT0+jIIzPvbjIz7xFyY+KWRAPiqrNz4Gyik+hr9GPj9TTT5zmlE+vvJBPnW6MT7MAzU+ixY0PluEHT7+XB0+YsMaPjL2IT7qURw+04UjPuYAID65GyE+ResKPq/+2D3fdsA9VjDQPX69uT0HatY9GaUSPn5tDz6Tgjk+AtY8Pk+pGT745yQ+04ErPpGUJz5EiRU+cr4fPo58QD5lFSA+vuI2PiYQPT6MpS8+nScpPp2vJD5lgiE+/SclPq/RIz5ufzE+8mA1PnFeNz7e3zE+r3orPo3bKz4y7kA+ig4tPgASGT5r7Ro+fmYjPsruMD6yxQg+gTkvPmrDNz69Wy8+8j02PurXVz7JQzE+pL8aPnsdEz5OTQ0+I5oRPhQcHT6g9iI+e60dPiX4HD7UGx4+t75MPtcfUj5IdTM+R4UUPoONRj64ymE+sA84PnCaUD6HEDw+5EccPkpNPD4T4Sg+iygWPtr9Ez7Jnxw+7H0hPntnMz7mdkU+o0tXPvh0Yj424yE+rx7WPSVDjD3rBwU+kfglPvprFj6qlCM+P+Q7Pvt6KD4QERA+VtouPisaOz5GREQ+XmZJPtSMYT7H94Y+YA9dPg0POj61/zw+nktFPtw/Uz6bB0M+l3w3PuCMPT6ye1Q+x2JOPsa7Qz4P4D0+gZwvPu6VOj7X1zs+bBY3PveDPD663j4+P9Y9Pg7UNj6XJzY+Fhk7Pm2QPD7bRSE+tYMtPnovKj6IoTA+g8EpPoYXKD42Wxo+jbgaPoN1KT5dDCE+KfU2Pv1GQD7OkR0+gl0lPqHcNz75nj8+kpRXPltEVD7kJ0Q+AfQ/PtZMPj5wAT4+7cMyPlGBMT7vo0I+xsQoPrMbMT4buTE+5t0lPmjAHT4sYic+1LIkPsp5HD7w1iI+m70ePn1BHz7IkR4+L9cnPgeSGT6eoho+Y4BCPl0sOz7M6lI+KaVJPiX+Lj6bRzE+V/YgPuWlMD7M5zQ+LQgwPu/wNj4n6x8+0yYzPpvWNj6TnTc+d3AjPjjGKD4vmUM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2SNAj5iBaA9chGWPSg/jD3h44A9G2x1PV08dz2eznM9AO2FPUJGgT2FB5E9vFycPVfckj3TwqQ9eU+nPSaskD0Wo189Ua9KPRtzSj0P2kU9t6o+Pb7OMz1TRRw9EmgfPRFRGT2fqSk9DG88PTK/Rz2FpFA9ZBCAPVttiT3BAn09f6RxPdnEaD0WyF09pnxvPU1nZz2oVlM9MlpWPQdxgz1STYA9fkKBPWM+gD3Fy4U9rUN0Peh3Tj299Us9f+dMPXv6UD1tFVM9BphmPVFDgD2f6ZE9QqaZPcablj0YG5g93U6OPUMFiT1TcYM9R6ByPeu6bT2t+oQ9fIKOPW3CkT1+4oc96S9zPRYUgj2mZYc9JnmCPbbfeT0EM3E9jwZvPR7FYD0cqE89JY5bPTbPaT1fbnw9oYSPPT0hgT2qFYQ9qQyXPfTmlD2tQI49wAKcPSJymj3N04w9xYmUPZ/SkT0wvH497ll2Pa7Tfz2c8HM9Q9F0PXaRbj0sLWs9sHJiPXyvcD3djGc9sA9kPfOpYj0o6Gc9OsBpPasJWj3asFo9bzxJPZmMRz0bmUo98n9JPcXfWz2eAHM9leWEPVfrhD399nU9q15WPfJaRT3ti0g9V5FOPa7eRj0kXEs91NBZPU8RZD0sgW09sf1tPTdXfD27an49uFl9PWZHaz0yqVA982pJPS1WTz32Mk49pfNXPVb/eD0UMoQ96jOEPV6jdD2GNFQ99TtKPSIgOz3WODg9QfQ0PZQ0Oz2vqjo9hQs2PZjcMz116D09o25SPRtjaj1ubVo9ifZJPXN3QT2UzTw94e83PUuQUz1bXGQ9e4dyPQL4Oj312zk92WVCPbRgPj0HPCQ9P14dPVTxOz3pOCw9mRkAPRAUHz0/t/E9C7g2PgvTGj5e4yg+ZSIYPnqwLT5/Cjw+tCovPp/CKj6F5Sc+ft8vPoBcOD4uijk+BPM8PrxeNj75Wyo+0nA/Po+wMT5vViw+WyouPm0eTj7iD1I+ZXpGPmTRPT4hATk+Elc9Pp9ZST6fFU8+NHowPlnJJz6V6x4+u9EqPkIIND7VNyc+3v4CPros+z1H7fQ9xynkPR+nzz0Tbak945WoPfweuz2hc/U9SWsrPsMYNz6Y0CU+pNYoPnI8CT6mn/k927QZPrWcKT6qhCo+cp0nPqesNz59DTM+2iYoPkdAKz7oYSY+LoUlPkmaHT6pfDA+cqo3PuuaQj7+rjc++4kgPhoQID6V9So+3UMTPsOtNz6ifDE+n+cuPlmhOD6L5CM+Y2BNPvrlPT4ytyY+nhAtPvxVJT7HHx0+7XpBPlYCST5pty0+z44fPhemED6Bwgg++pQOPpvQHz6UXhw+U0cVPhK/YT4bh1s+26cnPnwgOj6x+TI+4IUoPnotQT7JW1A+ruAZPh39ET72KRc+S1kgPnwPHT5ZjRE+jkcVPu/dGj4MtyU+vVt2PsUrbT4W5kk+4yVDPlVcBT7otBk+H7QvPuQ0WD7NZnw+VP9tPrY/9j08w6Q9Xz3GPWeTKz7IWE8+RwlLPpHkTz67ZDU+LDtEPkOCYj5vQEc+90s2Pl8DOT5GoSA+Xec2PtxcRz6a8j0+CFA0Pg69HD5kARg+t4MuPlFkPj4UsUU+aNEqPi23Mz7AGz0+z1RQPm+ZQj7Yy0Y+31IzPg6CJz4r9io+6NcsPvq7Lz79tlE+pXRfPnsxRD6t2C0+2u4XPu1VJj6d7yw+FIVHPjKEVj7E2TA+U10qPoQSSj4/smc+MhsvPnb4Lj6AJy0+K3wjPnMHND6UHTc+NBQ2PoadPj7Cclw+h2cuPjULEj6XSRs+YLorPnnsKz72zBo+c+YwPo40NT6ArDE+rwQYPvRUPT47Wy8+Y9gwPoP6Ij70uyE+8U0kPpPaTD4L33o+ZxlVPp3hIj7KiCc+Fa4iPqUMLj5WNS4+FlEgPsSyND4GQUI+JCgpPsVmKT5xBT8+E5I+Pgc/MT68zy8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3YROj5+X7M98sWdPfdRoD0iwI49oXyAPawofT1cwX89f6KAPapYgD1XWZE9ANSRPTRIgD17EHQ9bpVfPXMEQz2wuVE9/kRYPaJYXD1mUkw98kguPYJKIT0aaCU92dMsPQvqOT1QSkY9Ai1ZPf6iWz2D11Y9c7BbPRKZgz0hTX098FlbPY+uXD1wNFc9CE1ZPQ75Zj3/5n09qsGEPVP0gD1EEn89f4+CPT4HhD3cdWU9b+ZNPTcpPD3N8T09OY1QPf72bD1q7no9n46MPez/kD0sRo09/RSPPRYShz1Dl3I9KB5xPS66cT1t8II99o2GPZx4hj0MFoI9nCCSPdffmT1MZIc9/JduPWuRdz0dBHk9c5GBPVVZbD0VTFI9rqZXPQgKYj0zKV09QhFgPQPpdT1s2oc9GaOEPS+9ej06BYM9mJeJPX/2lj3R2Zg9eiWWPcH7nj2Y/po9/Wp+PSmBgz0JLn89/W9wPTDBaT1Yu2Q9/vtkPUEwdj0xv4Y9iiN0PSdObz3JJlY97YRgPZlmYj2CmGE9EXpbPTlpbz0vWXg9/99hPXqyVT0N61Y99o9qPYWXeT3IGoA9FCCCPS/jbj2xul09SVlHPd26OT2YH089kvtZPe9QVT03u1E9ZhJjPfcmgD3xOG89vwhbPVcyRD3DWkk91e42PfUDPD2f5kM9HVdWPeuUYT12Xlw93VVLPZ5SYD1WHII9dXR4PRunOz2MhzU9EBo4PaUNOT0F7kQ9Qw9HPZOBSD2xWkU9BQ1NPQfiSj2NVTw9jhRGPdTNXz1LAk49NAJAPS1yOT3gOis9VaI4PYSXRD2zN6U9JgbgPQ3SQD2NVik9T8crPciDIj1gKgQ92zEDPV6iTT16z4E9BaOsPR/DFz57O0Q+58wmPupKMT6jey0+o+kcPpQ+PD4hc0g+oLo3PkewLj4iaTI+U1IsPjB4MD4Usyo+15QlPr8gKD4xbDI+ythJPr2JNj4EdCc+rE0gPgXjOz4bLUo+H388PgRBUz4331g+DRFLPoFwUD69azY+bUo+PrD9QT6NjD0+q9FIPjaWNz4r4TM+hxoiPo/6HT7TvS0+Tt8pPmYLLz7GLzw+sMcKPqRO5T3kiuc9MNMDPlZ4DT76kSI+7XgnPgKuGj4adwk+K9EsPuJ4Rj5QuDE+55gqPt0NJz6TrRs+/9AWPjqAIj6TMyw+m3o6PqD1JT61Tio+qZw5PmqERT7Axjw+h885Ptz7Mj4QjQs+rj0PPhrrJT4XbQ0+TdUXPo6bVT5SpEc+5twzPr41Nj5xGB8+UzoLPsaYED7/6BY+YrEkPmMWNz6R7Dc+byElPrj8Hz5Glhc+miEFPr3AJz5OaBw+PvsRPt9uKD5MdTk+q8g5PpDjSz5yZzI+2E8tPvaXJz7doik+soMpPpDlHz4anRM+xUsTPv1kET6gJQ8+wpwSPkr9Cj6OeRU+DWYePu2PHD5mC2A+m+mGPrPTGT6quDI+NBVAPk4mTj6DXTE+ofDqPbo7zD1eAb09S0LXPVN0zT25dzI+AmJNPtAfFD7gyPM9Iw0WPnMzHz5zMhg+u2ggPvmDOj73rjM+oXEzPmSxSz5IUTc+ptAzPlDoNT7kHho+8ywtPmfCOD5JZyc+5C0vPm8GMT4qaiI+3kUkPus6MD4RtUE+ZkQ8PiIuND5g3zA+piw3PtLfMj5O3Ec+kR9MPpQ/Rj4x0Dc+fforPoIxJz7O7DA+hVFNPnOWNz7wpzY+Os4yPj2RPD6KlGA+bBc0PuHxQD5/f0E+/PI8PlLdQT7kBzg+0Y0oPpdKND6nGzI+byokPtgPIT6yTCU+oNwiPkZsIz7OcR0+7ZMvPiidKz6/LCY+eloiPqI0RD4pWjE+/TUzPlNTLD7K1iU+bx0aPv8WTD56WFk+5C4qPlspKj5IBic+1DsuPtnZJz4Fcy4+2nsuPoBXJT5H2TE+A3ozPpu9ID4HHic+fGUpPk1HLj5J5lg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf5hP4z1TcZs98tWIPfcBiT1TAoM9DweCPZXpbD0yOmo9WE+EPcqChD1mCoY9BUCGPW+xgj2xNYk980mTPYu/hD3xK0U9UC9BPV4gVD2R0kw9wZlHPZUgST2dBj09VLA9PQoMVj31hW09bFN8PbSXdz3/S189W6JQPbJNRj06AU09gr5MPQ+EZD21QHk9H/qGPQB1kD2PTYg9laWHPRBNgT3RiWs9sGNvPfvnYT0zKU09mFxFPdJOPz1Ws089TItlPe7IcT0Mmn49U2iPPch7lj0VyoA99G1qPR1iaz1RX4M9AiSDPcCBhz1OSIo9FW+YPS/5jj0DIHU9YdxvPbuUXz0V3k89zCFePTOIfD3pPos93C6LPRtoiD3xfIo9vKaKPZgMdT2TD3I9i2x8PQGagT3LQ309Yw96PbXSdz0b1oo9/02TPV85nD29NJ09KkmbPakzkj1W53I92VdtPXN2bT1n9Wg96DxaPRCHWT3Bsl89gyNnPV27bT1ZSWk91VFbPa0OXz0SuWY9r8BYPYRIaT3e2XI96olnPRSGWT3nIWE9HXxiPcdFUj1/9ls9hx1iPfzecD3K92k9dd1MPQBNQT2ljFw9aV5LPYVMUD0VOGE9KBdxPVVZbj22SFg96gVaPQXdYz2EGU49u9VJPe0aQD1fDEA9bPo4PbbeSD0SZEw9sh5QPZYwWz2KpWg9kChiPfqeVD3+ZFI92Q1UPcHWSj0E+k09WyZjPVfGZD3lw2A92qxWPf9eST0gFD09+vxDPYoeSj2x8kM9fydIPaVWWj31fE89LPVKPXqlTj3FikY9DBY5PdazLj2H4Ss996kvPQqUKj2iIiY9mpRfPf2nUz1UEA49xLn3PHGfqD35yCM+LycuPrAGNz5Vdig+LCEWPuVtJz7ioyY+z8ASPsgkKz7yPzQ+4nMjPrGZIj54tSQ+osQoPmr8JD7rPh8+InwmPkI9Qj6vREQ+teI0PrnoMT5kHTQ+3lEuPmaTKD579zA+1BE9Pi0HUD4svE0+fwM9PqNpRD4k2jc+61A4PmOVJz7dkiQ+III9PjAxOz4Owxs+r6o6PqRiST5DpUc+dsEvPjo2JT60yiw+kuAhPjmkET4w0RA+6fcYPogmED6Olx0++m0sPmZPMD5J9Sc+5PgaPt3EBj4cisg9/m7IPUOawD0r4cA9V6/KPf3T0D2Uhvg9oAIYPnbhJT4jnxE+Iw43Pp/dRT5KNj4+XHo8PpdlPT4GuSM+UCAPPvJAKT7a4Dw+fQw3Ps6JRj709jw+6wM/PnASOz5kNjw+33svPkWpIz4IdDc+wq5IPuRbPj673z4+yLFhPuwHJj6FDwk+/h8aPkArLT7cNCM+wZcWPrbQFz7sYRQ+1t8lPrFHHT6VYxg+K24/PqB/Qj4oph4+3zkfPvxAID6vyCQ+liMcPg2qET5h3BA+NCEaPk09HD5UAxc+vmwZPqFOEz6mABQ++HIcPrFiHD7MJTA+YYAtPgAOiz7GH2s+oDYaPjSYFT7zAEw+sASAPsJ7jT6PCZk+w1JnPt6h4j3FfaQ9+sWhPSGfij1sHJg92BCsPQLp0D3wY709zqP1PZCUIT5YlzA+9pA/PqrvNT7X3y4+wmdOPqg2UD7wNxs+vyMrPkAbND4cqSI+d34yPutBND4WeEU+kixEPnB5Kz7T6iM+kdk4PlV4PT5nyko+9UVRPvNYQz7K+zk+QVA+PghLNz4yazU+9MY5Po7sLT43QkU+rAg5PoT7Qz6Bekw+diklPs+qNj7oPD0+5ApGPm2XRj4/NUg+EeoxPrdOMT7Y3jI+3d4qPpZwLj4f0DM+C2cwPn8CJD6Q3yQ+Lh0kPrSMID7UfBo+9ycwPv5SND4X1DA+F100PjAmNz7y0Co+FBkvPj72Uz7Zoi8+p2MiPkXKHz4DzCI+2qonPmaLJj6NIig+Mx8vPodfRD77z0Y+REQlPnRjDj5f7B4+bxErPnJmJT4jzSQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/ps4z0JbKQ9zzuJPeLChT2y/nk9OAh8Pfqdfz3GfI09kB+cPXkFlD3J6pM9KwyaPbJrkD0zrZI9vnqkPX4SmD2sqG09paNqPT4iZz1JNWU9G59TPW+wQD2wAT493XBBPQmaXD0kIn09uG5mPeKdVD0fBEU9AIVHPfEbTT2wc0w9ORFkPT0MhD0w24k9QpiPPYLLnD1qX5w9vi2LPV9/ez1+zmU9x6BTPa7WTT0sxFg9AuxIPTDiVD04L3w9D1l8PRk+fD2ZjZA9AR6mPck8hD2S2mo95pN7Pfi+gj0Kg4Y9V/mRPdMcmT17eJo9vA6LPbM8iT0v+WI9lcJZPcbfZD0FT2s93p2BPU76lz3uWJs9/cGWPc4bgT3ntYM9ZNWEPb2Kaz3fV3Y9mHSSPQCzmT0lWIo9HVOHPXdFjT1TjI49JtOVPWLooT0t9IY9FDaAPRKEZT3BG109jkljPZHyYj3COXU9elF2Pcn9fT3eJH89x/dyPXyKZj3c+WY9uDxoPUcFTD2mYFU9n4hUPTGNWj1a+Ec9D9FJPcomSz3b7Fk9f4hfPQT4gD01KnQ9m8NXPUllSj31KkQ9KgpHPV2AVD17HnM9sS+APU+7cT2YT2c9PflTPWBvSz1H2S49eZIyPYthOD3LjDM9MgBHPZbVXj3M+2I9pdhZPaG3Uj2enkw9lJVQPd9kQz2rDTo9eZdIPY3QVD3POFE959tUPT4sZj26/XM9tYVrPTjlXj0/21Q9ThJHPc/cRD0v7049sn1UPc9MVD3rfl09dU5qPcFgQD1OiTo90lNBPdnaNT0IvyU9A00fPQ+sED3QRxA9HWMnPSftNz0jLm09IPrmPUpGMT5FRg8+S8kFPp4BOD6BHkw+nXY0Pn/yHD5q/hU+n/URPiIFGz7UYBw+Do8bPjbyHj6lAyI+9N4jPhMgDz6jJxM+m2YmPglKLj595Bo+jwsoPrwxPT4VADA+Dq8RPo/dWT6uq2g+1YwvPq2JQT5Jtkk+d0Y7PnPhNz6CLC0+RVMnPkLBMT6H7zw+dKE2PhZyJD7D5zI+gtg+Pu0pRz7AaT4+0ldHPj9HMj5UFDU+T4ElPnKuIj5T8UU+eERHPpTDGT5SWR8+6oMkPsQmID7t6yI+CeUoPjfwGD7NnB4+yj/pPSQHuj20tAQ+D1ItPgVPvT0mRK090uqrPbHItj1YXLA9Zk7LPU0hFT6Kehc+/bchPo64Kj4E6ic+GbkzPh5kOT6pcjQ+6eghPjF/Kj6jjTc+cO8yPigqLj6hJik+RuAtPhpqNj4wOyg+t1IdPkc7Kj66+kU+eVY8Pn9cOj6uujk+SOQwPlN8FD6idRQ+Ie0yPmmZPT4KgjE+PB8vPvIDKj7AoTk+BUUyPgd0Kj7i8TA+/b5EPsqBNz4hKyA+tfw9PgoBLj672Ss+idoXPkkDFj7juBw+keEoPriWOD4idTE+3owoPvFVNT5PoxY++94LPuAiCz5u4Bw+mBMoPiF2Lz5u5Bg+Tz0UPuMGID7E5Rc+KDIjPrTdRj6ifjk+3TFKPj7TYD6NUSY+f54GPqLdvT0qdcE9Vg3pPXZbxj0mO4A9dKHUPUT46j0u3sg9YlMZPiUWaD44Cms+RtI6PkEmLj56kyI+64IWPjZ6KD5sfDA+mosePqYVHT72ays+P1c/PoN2Mj4rHzE+suk/Pke8QT7+HlY+MMFKPgWePz77CTw+uDgtPq9GIj44+SY+12M2PrCKMz5jdjE+nG9APqb4Mj5ESTY+FAU/PnMYPz79uUw+AY9QPi7LRD4scS8+l3AYPuqqKz5n2TQ+UZtEPspWOz4tJjE+HZY3Pm8VFz7CCRA+3CMgPrKaKT49eC0+busrPu0UKT4uFj0+uMs6Pi5NIz5UYBI+RgolPlv9Oj5S2R0+YHYaPlJvKD4T0zw+GhQVPuK5JD4NskU+AzodPkB0Kz4hMUU+aX86Pr9CNT6HbRw+78MxPrLNOT7UISQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2HG1z12U6M9tOiTPbPqiz0qrYU93PaIPU+MjT3Z7ZI9SR+NPXd1iT16F449xGeaPU/PnT2asKI9pa+iPQyenj1H0Yk9S1B8PdCNaD3Nh089HrUxPenTOT0waUk9pepUPTJjXD0C4kc9u6wwPbFKMD0IWEo94lFyPW+lVD1a+WM9Shx3PVssgz2y5JA9VC6RPefHfD3/y2E9XBt+Pe43gz2nPIA90p1sPR1IcD1cR3896tR2PQpgbT2SAHY9zb+FPZLbgD0dmG09v2diPa5GTj0NQFU9xAh3PeIajz3CV5k9QmqNPSLIgT3QlH89++lwPQyNeT0rdYE9pfWGPcTKiD3HQ4U9qbyNPTIMnj3iRpc9AmeJPR4khD397Wg92ZFqPX1Pcj3Q4Ig9/IeZPaILnj2UQJc93v2aPS6wnT3jHos9YG+IPWBhcD3fimk9TWZyPWYjdT362G09+EFvPRgiZT2OMGQ9qgtoPafodT1timQ9iSBvPZ3nXD1pDFw9OBpTPaaoTD3LPU490mBIPamSWj1pm1o9a1loPbGaaj2jo3E9vvR/PTRQej0611U9Zy1FPTFwUj1Y70c9xvlOPd8QVT06mls95MRgPadKXD0joTw9V+czPRY/LT3QMCk96B4mPR7hIj2M2UY91uBePUGORz1jX0A9hFtIPVMJUT1CT0c92Ww7PeDQOD2yJ049XedLPUDAUD3tGGU9in1qPfJtYD3KjE09R3xCPZi/VD2moFg9hhVmPTzVcz2QTG89E4RhPWb6Rz0KSV09OPZTPYRhNj1JCkM9AhNIPWByQj2gADI9d64uPfcfOj3Zpy09Apb/PJrpCj3MipQ97aA3Pna2eT7MV2U+BrsvPmndND5lAB0+THktPivHIT7Z4xI+rmEYPvTjET6WgCI+NPU5Pm22Oz4w2C4+j+4ePuKOED7HzQU+0GEOPhrMGj7TvCY+rdE/Pn02Mj4EGi8+q0suPhD1KT4Dwhw+NRYkPm5YKT5h1CU+09MrPlmoNT7GrTI+jxElPhnfFD5k5yI+Af4yPlFXPz7udyw+jLQsPjvWIT6eZR0+ags1PlJVLD45sDY+ryQ1PrsHPD5Qtzs+I7ZKPq9SKz7R2SM+4KwmPtG8MT6BUzA+rJ8sPnvwHj6/diI+EegtPgGHMT591Tc+P/YvPsTuGz7wVxw+5t0KPrFr/j1VWBs+GfEyPtLCGj6wszM+93NIPhpXLD4pFgo+oobKPW5m0D2AHg4+V1UYPtLVKT4okig+iR02ProuQD4Fqyk+Y3kuPo3iNz4lvTA+XjkvPvg3HT6j/io+1qQnPm38Ij4TSCw+Hf4/PuW/QD5W3jA+HQ8wPrvNNj6ltCs+bZE4PtnJOT412y4+Ci03PidnOT44lkM+sA89PvCoMT41aDI+cSE0PgocGT4F7yQ+kywlPkUuLT4lCSU+OlI7PsJuYz4XQFw+rMJCPiRLSz7fuzI+s3sePmYhDT7oVhc+oJkPPuniGj7LUiU+rCH+PcwRJD7i3iA+sRgSPtaWJj5Dbxw+6gc4PtE7PT6y2xg+wlwGPjaG6T3rQ9w9Gh7TPcCXuz2R5og9/FjAPTFPAD6JQQI+VAIVPmE5Cj5xCis+oagwPnUZLT68qEM+pxZHPlPSQD6uqkM+DZhLPh4pNj7KEjY+H1pFPjufNj7UvlM+j45EPv1xLT5Q/D4+kc02Psv6JD7rbh0+QPMbPsJEFz6ZuCU+/s0oPufCID4k6yk+krImPvcRIT6YDiY+MFI1Pv9JMT6PxTs+mnM2PjBzJj5SFSU+aNUrPpKNMT6QWCo+BNs9PtfCMT7ijUI+M5JBPrdxHz44dSM+xb4sPmkyKT6iUSk+XConPq0FMz7oXiw+5MgqPooEOD5V/yQ+71QtPmOaKj7Mcik+FfgmPi7AIz6bwyY+fRIsPoHZHz7YxTo+BCQzPnLCMT7JWTA+i5YxPmdeLz6QZjA+I1ovPk1bHz5jkBw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/7PKj77WdY9NveRPYawkz3Hi409cgeGPZZhkz1g8pQ9H8yMPYRtij1KsJ49UiyWPWqekD2BK5U9Jz+dPcUshD1MG2w9FxNdPTj8Qj2FuEQ99VBTPTFxTz26LUc9VuNQPdtxTj3naFM9pWVIPaM9SD3yH1A9VwRiPbgbZT3ucoA9R/yCPTZ+dT0GDXY913pvPfRhcz2soWo9AZOKPXEQjT2ccYM9apl0PawLZT19PoA9VWGHPevHjz30nYQ9aVZyPU5NWD2fdk49MYtZPa5YTD0r+GU9cZR+PZCSbT1vpnQ9YQyGPbPzgz2AFn49q1iCPRLgjT0/8pE9viGSPbWpkj06kZI9YTuSPYqJmj1iJpM9JQZsPaOKYz0MNnE9gx9pPXMyhT0WqpQ9qgufPWWalT356oQ9pMdzPb96cD3o4nA96sJzPbQhfT0ySnA9mVdzPXtncz3lgn49FVGCPb2Ufj23g2c9LBNkPf8Saj3J02M9SaZgPdsgbD05m1I97J9HPYKhVz3qMGg90+JmPfpTdz1ykng91eR9PaA2fD3N9XQ9rO5tPSYCXD00mlI9moRWPSknVT2ir009dctbPVjRWj1Z3Ew9pHlPPTf0UD3zs0E95gsxPVCPKj1j1io91tYqPYWNOD1jpEM9flJPPVhKWT3LFlw9yU1YPfGeUT1MMkU9OP8wPWYHPT2vi1k9ZSpgPR7tYD34gVY9j4JPPTzfQz2wBjY9lLVBPQyCVz2NB1w9WVdsPR8Kaz2Yo1Q9EBY0PXiXOD1FkFs9fM1kPVnoUj14YGg9931zPbq6Rj079C49mNpSPdxM6z3KmPM908SIPTZUWj2S2qg90U07Plr3gj5rdYM+6t4yPjvlIT7tSA0+LN4RPl5dHT5AzB8+2zMSPhnPBj5MSiU+NsAoPqZ1Lj7FQzI+Z7ssPrOeHz5AZQs+Vc4QPmr0IT70nx4+iPMiPtU5JT41GiY+qRksPsv6JD6g5BU+SQ8fPq2EHD7RzyE+TOUcPs6uIT7+ezY+UoctPsplLj7N4C0+sUk6PoqrOj5JgTY+KEY3PmKEKj56Rys+Two5Pn+fQD6Tpz0+52AwPoNgRj4/Yjw+rpQnPjwXKT7mXzE+2z47Pi15PT6v/DY+34pIPs6BQT7vMTA+alkPPozpDz6lsBk+hbkaPkAnDz7eEDk+6Vs9PrSdRD6EFjo+p0FIPgJ9OT4/Qjk+OM45PiYLMz7aWSA+mILmPbFRoz01cbM9JjjGPXUqBz6UrBI+pv0NPgt1Fj6iuxw+1+sgPtgzLT4Xvys+BKRGPpjXMT6wWCk+EWY+PnavKz7O+Sg++/InPmoDLj6Jq0w+YVVBPtkaMD5m6jc+jP5BPnOIMj5rUS8+i+8fPrQGIT5L8xk+FagbPi8uLz55X0A+0q5FPoueKj7fwTo+Iq8jPuqXHz500iA+BckgPjzKQD5rZl4+p7RNPgJCMz4QVjo+3dosPhjLGj7UGjM+ev8vPuI4KD5tFB4+FrgWPl5OJT5auSg+JCwhPshMNj5OE0E/TW7zPpVzGj7zeA4+AeUYPpwUGD6pbP49VcQ8PkJZID4mrqk9lO6UPQHh7D0qei4+2EQcPt60BT7fkiA+2oMmPjzWOj77G0A+I0FIPoXGPD7kyCE+FrAnPtgSJz4aVjE+v/AvPnK/KD4fiSY+7+E4PrHrRD7GCSc+NvcgPmY+HD60yRk+2dwrPnh/ND5yAzY+PtAwPrl8HD6FNC0+BJAqPjteGj5KkRo+acI4PnHRJT5xtSw+SMsjPpdIMz7GQio+djsuPkzwMT5Vlic+TaMmPrDoEj57cFo+ky5APh9ZIT4bDDY+2X0zPsTyJj6j9Cs+mhMvPpKhMj4NTDA+lo87Pra3Qz7lWy4+xL8qPmx1Kz535hE+y8IhPtqWFz522CQ+L8YtPlx0ND4bbkQ+R6E5Pn4WMz5f0CQ+62Y3PlHzNz5BKzQ+cpY/Pi9tET4FKOw9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1jtDD5SoNA9vjGTPRSpkD0iIY09gMWMPd0WjT1ZIoY954uJPdGnmD1Tx5k9XsCXPc81hj3CDYA9kBF7PbDrWD1LWj89/pxCPYF3TD1awUo9bytZPYy6Yz11PlM9m4tSPXGDTD3eJFA92pBAPTVVNj1/zVM9X6NdPdj/bT27G3I9zhlmPeAUbD3il2Y9SbtZPakGbz1ZB389UYCBPYciZj30Fl49DTdgPWRjYz0mIIE9EsCMPQiAlz2V/YI9Y21NPacXST0ZQFA9j/xjPfWbaD3AeXM9lSV6PfregT1wGX49oAp9PftxhD3nwJc9pKSaPZeKmj1LPJU9BgyZPSITiz2vlH496P9sPWB0Vj0D3kc9m/hNPXQbaT3GIYo9HLOOPS1lhz2Or4o9ERmKPTrUfj12DFs9cmVcPdFRbj0RxoU9TZ2DPW4Niz0J+ow9bDmJPXd4lD1tSYk95pyEPX2BhT0gaHQ9AJloPdf8XT3UuWU9TA9tPX6ldj3+WnQ9t+htPcI0hT2kXm09tuZ0PazgdT1IPW49W5NyPR45aj1L8lw9B8ZLPUtPXj3Wo2Q9hqxnPdyYZz02ZGU9gnpOPY7nRz15C109v51nPcZBWj2I4FU9AHBFPSL7RD1SwFM9lNFDPXIiPj0H3EQ9NI1MPc8gVD03Ij89eR41PY0tMj33Njo9tJJBPQOMPj3aHVY9AR1kPZliTj35YEo9Zz5bPfyLYD2n51k9NcJbPR6eTD0bQj09P4E9PSy7Lz3K8Co9EsAwPZbkOT2Fc0k9tqRZPWBTUD3zpVQ98JpCPfErSD2cMVM9DBNbPc3HsT198KQ9R5KxPd3uBz4AgxU+ZLkKPin6Rz4AbVI+slcUPkI0FD7XKBA+kf4cPmD8Ij5pCRc+rjMePjKvHD4Vrx0+vQ0gPgEwKT7qoys+GYczPmkUPz4hPCw+94MePlkiGz7PxSU+8pghPs/kLT7r3TE+4CYcPqVkED6vDBk+PccnPnOmJT7YwCM+DeEqPhWKID4BvyA+psAcPnq4KT5uM0M+F6pNPsovZD6v5m4+8wtVPhieSD4/Zjc+fzMuPuOVOT7m2jo+dlIrPtezMj6uYio++bAqPuUePT7TZEk+VSg/PtoKMD5l9i0+UCgzPs+VNj4jvCw+cgILPtkGyT0BPaY9IIGKPfbCnT0cVdU9yL3BPVADDD6oVh0+miE8PpuLKD4P0iw+cq5CPvc1OD5M6Dk+wOI1PgmDGz6McBE+VO42PvH0Kj6sGAo+sI3jPdqy4z3m7hg+jNArPv69Mz4YDTE+BnYsPuv5JD5/dis+LGVGPsLKKD6Hiy0+CdsmPpUcOz709FA+Oo49Pkz2LT4mjTs+ccMcPsNVEz5tbjg+4AVHPvcWNj4N8iM+GecxPla5Gj5c8Eg+copUPpsiPj4iNTs+IO0tPhUzJj5MGCU+gJQpPp5XTz7NrVE+2TwzPplXMT7yLTA+YZAaPsGRHj5zgDI+qNsvPh71Lj685So+YxAvPgtpKT5HmDE+wGhGPmnSGz6LNJ4+hClqPqSuCD6Z2QY+CpMIPkSoFT5pfhg+VBaBPvjCZj7EQwU+um/qPacwBT6tAlc+RsMYPrAyED6mFxY++/MfPpWRMD4efyQ+FnoTPmfBJT6UOyU+lGAXPqciKj7JWyU+0tovPimIKD63yCQ+cahfPnSrhz69TUA+pR8hPkhSMj4cjDE+Hk03PlrnND6m3jg+t60wPuzmLz6zhjU+3OcdPvw/Jz5OxSY+odJAPlreMj6cRyA+XHYbPq8pOD6FzzY+DaI2PvgjJz4iwSc+dK4pPu58ND7M6UM+YTUsPi6IMD4ujDg+2PU8Po9CHT6XfiY+DhI3PnsCMj4FMEA+KVlMPrfyRj7thDo+VtEoPgTqJz4pIRc+juoYPuV/Kz5WvTk+5tAdPselIT60AjQ+qpEqPvzvPz5sfh0+Z29PPtRmOj6g3zI+MXFIPsDmFT5JruI9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwXPFT4MxtU9+kyMPR5AhT0DM4M9k3GIPa+ckz0YKJQ9AvWbPfBmlT1dEos9gYOQPRwFoD1YQZc9UiyZPRrriD1VGWM9TRRKPbY6UT3vm1Y9gxdaPSlbWz0ycWU9hEpePa6gQT1tIDQ9o+1APfftUz2ORms9Am9zPY92fD0pdns9uE1wPfw2YT0gEls9wjhQPR/3XT0DtXg9+RNsPQ8qeD1Ainw91I+HPUy4gD21HXw9gOuLPVvdhT1eUYA9lkNzPQs+dT2OsHw96PGGPZUHfD0HWGk9gOtjPcwZaT1tNXM92YeBPZEhfT2yaI49ZqiePaEsnj3mcJc9SVeJPSTPZT1pbVc9D9dyPeaBZj1bRF89DOBvPUageD3wJnk9b8CCPa8ziD0YDIs9js5yPQv1bD3/C3U99sdmPQnRdj2p3oM9MayJPYA0iz1rP4k9bZCcPfeThz3iOH89la1sPWizaT0ZTVg9PFVcPSUAaD0/1HE9+dZ9PR7bgT2Z4409Bw6JPdGIhz3OxYM9FQ+NPWJAiD3iOYA9pI9kPSsoUj0vh1o9LgdoPYIUhz21cIs9CQtxPdcmbD1XGls9Ft9RPYA6TT27bVI9UrtcPaMcWj1Z/0I9xj02PdLiQz3uyms9de1wPSm4WD05OVo9xPdnPdVRZj3i9UE9DARJPcltTT1ft0s9jLBEPSGCSD0iRl89GP9lPc1uTj0mFlQ9C9ZPPTU+Vz0dLlQ9vVVBPV8oNj3/5kk9AFtQPYG3PD1G3kA9RltHPRAIRj2HiDk9YUw/PTr5TT09Ikk9IG1APX/uWT0whq89jJ+lPfllNT5DUU0+MZkbPhnKLz4CtDM+ZNhFPknwJz7osCA+mFobPu0vED7QfQs+9wAgPjutKT6oMBs+8eMgPrO3ID4vCiA+Ax8fPsxgJj6xRiM+TIElPvH1Lj5MxDo+BbYuPjHFIT6ZdSA+cbElPiqNLT47WSg++ZYlPlVjGT5c1h8+v1AkPnD2GD5X9jE+WfgwPrW6Jj66nSU+AvcaPjSOIT4z1Ek+cU9cPngyTj5asTY+Yv0tProrLT7SViI+zxwaPjF9Gz7kFTM++NVBPiPLLj5unSE+yQ4qPs+BSD4Hs1c+9cRRPu7lRj7rKjU+gadGPqVELz7IaCM+W2cmPrt9Lj79Cx0+FczEPUnSjT2O/q89fUvhPQiZAT4D+TI+95tCPm1yIz4scyY+G6MaPohVLD5gKEA+jgxEPooTPD7DQjY+v40kPuGaMD7U6Tw+OVQzPhAaKz5QvCQ+r1MnPhO7KD5kOig+qlQzPmfnKz6YjTs+0V49PjBVNz4LMhw+5koKPhNEGj5mv0o+sVVEPpZ2Lz6k5ys+iiMwPuZ7Hz6lUx4+I7QoPvNINT4NWyw+C08pPsGuIz5zQSY+OGAoPh/AJj6b/C4+mzYrPkd2CT5A9xA+xCYbPuPzET7PbBY+7RMZPlyiGz5gjB8+RpUZPh3TLj4jVjg+6vdJPkrVQT7Jo2Q+iamKPvHfWT6Ypjg+J9AzPjIwJD5PqQc+lHEiPrCeKz7qCCk+eIFqPsqzcj7Bnpw+QV2bPjvtIj6QSDY+l9sKPmdKrz0Uq709t/SmPYuD0j0K0iQ+hhwbPtxvGj5BEzA+hbYWPj6XHT5wrDQ+MqVFPqyGLD7sCjM+TDQ5PqOPJz51Mys+eRd6PkOHoj7kkDs+3eUsPtmYJj62jDs+pFRBPhQIPT48ST8+5h0zPkUwHT6kpSE+FpoaPvozJj4dBBo+z9wmPgSgMD5Tsyk+SVEwPmphJj57ATI+gLsmPmxNKz6XUzg+TT44PmSEND7e0i8++tsuPhkpNj6OGSo+lzovPgcZPD6iozE+s1M1PrvfNz7/wDA+qDA4Ps5+TD65EjY+rD4rPrQzLD7SWx4+i0otPrDWMj4r4CQ+paslPvORIT6bjCk+m4gjPuNkDT4pQhk+tbsZPlRiET4TDx8+PcsmPt1hCz5Yp/M9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1xQHD62+NE9g1yDPWXEgD0AxJU9moKhPdeemD2xYZ89LLCTPeEpmz0MR5s9LtKaPUPamT1g+aA97EaZPZ78fT0NSl49Md5XPZ/sVT1S8189V3llPZ9YWj2i/Uo9hT1LPVcbQz0KTDI9zoFIPUNWYz0m0GI99v1hPQD3bT1soV09GpBqPUdqYD3a6V89jxxvPX3GcT00CIg9+4WJPVuAhT106IA9lnl/PcfKZj0lEVk9Hc1zPZGghT0DrHk9e3BfPdHdZj1jWmw90FmAPWl3gT0gIoY96415PXKcdD2T54k9j5uSPbF5kD0V65c9GQyJPcV9kD1DCn89+dxvPVQueT03JoI9VrZ/PbRneD0ueoI9Dj5+PVQRhD1IGoU9knOKPWnWkT1lz4o99/t2PQqUaz2Pb3c9l+9+PTY/hT0mq5I9uYeWPWwHhj0Ij3g9juV4PZSyaj3nG2k9yTFiPe+DbD3JhFc9/UxbPUMIdD1uQ4E9UAWMPYFFkj1xR5M9/P2ZPap9iz0QkoE90zd3PaUyYD0hTW89u/NePXPBRj3KVUE93SdiPQbwcT2ahk49ANdGPQWpUj2pNFg9Hqh0PfXEbD1i40g9qfFFPfY4Rj24jVE99bxGPTVNZj0xb2o9/6NUPdd7Tz1tx0g9t/dFPaU/PD0NyEg91w5XPU7NWD1tF0o9KZdFPaHxYj0aWnc9QdRmPWA9Uj3mqlI934FTPRO5WT3bnl49hzVXPbBXUz21bE49IWhTPUzpQz270To9LZk0PXYZPT0oWj09GoBDPfnVWT1N3UY9r5svPSqCPz3U6Ew9Fb9mPZ0Wgz0DUp096iZ9PbZqUT2YAbU9tBZTPlNDRz4BGSM+7eIWPvRjDD6dRxg+agQZPs2nET65wxg+FNIZPmC0ED7i5A8+5WkTPm4AIT46pho+UJAXPkGFHz7ubic+qv02PkuMMD5TZy8+SAgfPlsTGT7eviA+RJUqPoS6Lj4EjC8+v8ofPoDSHD5cFyA+5AY0PtiKQD7g5UU+/68yPleQLj4hejI+4ko1PhMWLz7zZSc+nQ4sPhr8KT7pPBs+ScwiPtmxQD5/N00+GBU4PgVjOz5DlCg+QQJPPqNNUD6bpik+KtZRPl7LZj468V4+okpAPpFbHD4+eig+cfI5PsuwMD4JZUM+AkE9PuExHT7kdyo+tQFJPv+HOz6O2DI+ATJLPjrkJz5QSTI+6mU6PuuCIz67tTY+3H4lPr04ND6uBC4+NJkqPo0hMz4KEig+wR4lPlQWMz4VAiY+EWcsPt86Lz5j0is+wuMjPsnWOT5Zr00+nZ8+PlMJQT4NZTk+e98nPl9yDz53My0+yMdDPqkyPj4iLTM+dwc/PguLNj62ZCw+ed0XPsHBDT7RxyQ+W9MyPgmoKT5BJSA+gKEaPv8XFD4WJR4+a30YPhgcGj7t0SY+zgY9PsVRLj5JODQ+jW8QPvJkFD6P2iw+EHpePtwnVz7o4UE+e4xiPkEkTD5gnS4+mhIvPuqIND4PuCw+Kmw0PsP3LT55yhs+VJQ5PsqoLD6DCB4+E3QWPrUnOD6O26c+q7CHPrhYJT4zhxc+YSogPv9fLj7l6CY+IKwFPsnY4D1w/Qo+ieYfPqssFj5I2hM+RO1WPnblaD410Tg+GUhtPvFhND4S4TQ+p4IxPptYLT5DK0A+xeYqPt6hPz51oig+PQwPPvXNDj4J+yQ+o+sYPiwkFz6xvCo+Gkw2PhuIJz470C4+aPctPmpcKz4gVjE+GUItPv20Nz4AKiM+cSQkPgfDMD6loS4+xfQsPuQdNT6B3zw+d647PlIQQT7ZKyo+1sFZPkG2VT67x0U+f6JLPvSSUD4L6Gg+nuRePoHcWj4fPSU+oBIlPoZkPj6aujA+PKkuPjXOLT56JC4+bZFAPl4fOj5FBSI+tBYxPgUyPD4NkkA+11EsPo3GGj4N/Bs+/GofPjoeLj7CxEA+8o0rPj/XDz7T9A0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1pKgj7e/hc+eQKPPR0zlT3fips9wqSXPedolD13Bpk9r+GVPXxEmD1YrpI9BEuKPQtZjT3M9JU9d8KMPTK/jD03loY9vKh0PZyOaz37B2Y9yfFrPX9/VD1y+E49mrxBPRh9Uz2tQWs9BLlhPbZ5Wz0P8Fo9jOxfPV4hdD3RcoE9l2h1PRHkdz3KwIs9jTaFPdAyhT2xmYA9bNCDPfX4ij0q0IM9ChyDPRCQbD2iol49f6dpPcmigT0Y63c9LBh1PfCkWz1qTW89E/x4PUpvaz1AX3U93jKEPSLBiD0db5o9NveUPdD1hD2Z+nY9fW1oPW3EeT0MyYE9Gm+MPXDIkD2qhYo9Ar+HPQ7fcz3mj3Q9rwt5PdpEdz3hX4I94ieVPd33lD2z2o89JCCFPUG6dz3GjoU9X0SPPSkijD06SXM9+w1qPStNbj1dKlk9KYphPb4sbj29gmk9DaNxPZtfgT0jIYQ9ZVGBPaCygj06YYs9X4aLPaFPjD3SzY49zc9qPbajVT3e/lA9CmxfPQctYT0mmmE91nVMPf/xRz0cGFs9p1tlPdnITD1URjc9p1tBPUJiUj28FWY98PdyPTwvdz1MXXQ90ZBXPSVdRj3lFUc93R5MPYNcTT0pvDk9aVk6PU+/OT0BdC89rBBBPT20Nz1f+0c9mQtfPderVz1tMU49GB5dPfEVZj1FKHU917BVPQnlTT3CnVw9D9lcPYYWXD0nXmo9ZqpjPSE5XT2/2VQ9y5JVPeYpUT3W70U9fEg9PQSRQj2WT0U9vahFPafCTj3+WFg9f1hqPUEcZj2FE7s9lkIuPpBmUD4YJT0+txgTPphC4j2cdg4+gjIrPvbFKj4UoB8+0HkQPsrnET5CjxQ+qwUnPq0mGz7PoRI+PZ0MPsRIFT5PExE+mUkSPtloHj6PtR0+6y8lPpTNIT6H+hY+GWohPk1NJz6lxCc+qkIgPuj7Hj46FT4+lGgyPs6iHD6w6jQ+B6YpPrrAJD7YKxk+TGAkPhv6Oz5CCzM+ZeMhPoZyIz7eJS0+4e07PgulMD5LQiQ+fjYsPo+oJT63oSQ+adosPqGSNT6FvS8+2cM7PsmkMj7vtiI+SKhJPlRBXD7q8j8+ZBE7PmSHbz7Ms28+anMyPj3gGj7nXjY+3+47PnR2QT44LSo+OZo0PqSrLT6a+yE+LkUfPjoWIj65nCs+081JPlpFNj7nTxc+bZAlPsmjIj5GNyQ+QeQlPiZtNT4jPkg+AO0cPtOTGT7EsCw+hLUiPpaoHz5K+y8+czAxPiy2MT7NTUI+1kUuPtkqIz5ihjQ+h1Y7PoJzTz6RyUA+bvIvPqEaKT4bbSU+QygdPqpHJD4q1jo+tlBDPqf/SD627DY+gL4vPkU4Kj58zyo+CZo8PoWeKz7N5RE+J/IfPqsLLD5QQB4+MtIdPnb/Kz4xXjU+mGo8PoAzLj5hODU+6iAcPhHFFD4Q8S0+7OpFPjSZBz9oiTU/GfF2PhwtST7M0T0+AhEiPiWTKD7kNSM+yXIdPl3PMD7ZETE+pewzPiB4CT6pCA8+KoYUPtdHKT5QFTU+M4UbPvTGHz72aCI+W14pPjA7Pz70bjU+Ed8lPqV5GD4E2Ss+Si8xPjEkJz4WMjU+X4ZLPryjUT6ibTc+5WY/Pl2wLD7bFzA+nsYzPmp6SD5pKl8+1+FGPhcbOz5imDc+9CYgPv3jID74vTM+pAoyPvjiNz4pJDQ+M+47Pn/WWT7MXWc+bglEPqPKNT7VJTU+eD1FPhSMWj4sC0o+vBwuPg2dND4cVR8+sR0uPhjbgT5q8YU+EiZ1PmbFkT6KeGU+3nh6PuVJez4L4DA+IAEzPkvoMz7sN3M+1KxdPo0iRj7UQCc+7AccPtnAGz7IPBY+n1ErPsy6Kz6gWhc+sKAqPsueKz6tWic+3O4yPmpePj5qzTY+L488PvEWJj6xJCQ+hHEmPmHzJD58Qik+X+YkPm1UMD5p5BQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyYoXT6K39k9rxGGPZm6ij0JM5k98HuhPe/Poz1nCpY9ouWXPX0imT3R3pc9+COVPfNhnj2KXaI9vLCdPSCeoT3gZqA92T6LPTuTXj09mEY90kc+PWjKNz3GwUY9vrlCPerdUT2vlG09pLdfPQZRWz3HhGc9LLRZPbMgXz2CiGY9NCZoPemNgD1ah4w9+GSKPW3ggj0z4Ho9P696PXNudT2OeWE9/31zPUCFbz0ERnE9MLt/Pbb0eD2WvnI9gxtrPR9CZT0TeG89W9qJPUbKij2Oa4w93taPPZuskj1B/Ho9bqdUPRlRTT3qknM9XFGEPfYSkD1VHZk97nObPYq/jj20dY89i2CWPTftkz07SJI9RseNPWV7iT10jYo98DmLPbrijD19sYg9aRd/PUJigD2troA94AqCPS42XT1lTUY9iodOPe9uTj14JVo9J6hmPbcTaT3YpXM9Eqt2PWJZeD1f4YI9WAKGPSK/iz37xow9ImhwPXRkaz0zDWM9eAtgPZknTz0WVUw9DQpoPc9jZT0CpVc9qqFSPabiZD0/s1Y9ovlSPeb2Wj2+U149MxZePZ4Tbz00T209kIlmPbs0az0IsmA9L2tPPZEbOz2v1Tw96KY9PbVDOD1wljQ9FWs2PSkMQD2Uv0g9p4NcPTcVaz3zVH09yOdsPRNbYT1sXlE9+epKPYqlQj2Vr0Q9NVxFPZ7pQz1AlVE9C/hkPTKIXz1kcGI9jzt7PXxraD3QcFw98G5JPYt9Pj0U6z09wbVIPRioOz2qfTw9P0xaPVrddT1t14w9kkWRPXOxdj2R0ek9khYcPtHuCT5kmSY+oKs+Pkr0HT4KSSc+MgMlPiZFFD7NfxQ+Cj4OPiUAHj6YPR8+DCQfPoDAID7fih4+0bIfPuZoHT5oRhw+j/4XPu61DD6XmSA+a84sPgPvGz6PPBg+fFclPmPyJz6hlS8+03cqPm5BHj5rcCM+Id8TPko6Hz6dCTA+kwUsPsjUIT7MQBs+0OwYPje1MD5mvjk+kXouPp4OLD7bGyw+3/0oPuijJD7kixY+5ioaPqRDJz42iD8+rVAyPv1dIT4E4zA+xW9BPqT3Lj5jHDA+HxBBPmgyRj5uBEE+6Tc+Plu9SD6jh0A+aHQpPv/YJT7ZLi8+IOc0Pu+JPT4ejDc+BdEnPi1sHj4L1iY+hHQxPhA4Jj5hICc+eORPPs6qSj7zyzk+TqgZPu1yMT4/jUI+SOU9Psd+Qz652VI+JnExPmhmOD46aic+xJUZPpgEJj5SGi0+A9QePoILJj4lgyY+kGsiPppJJz65fiA+3yszPmuBOj5MSSU+u7ktPq66Tz40KEY+om0qPsbKHj6Poi8+3yszPn8oMz4OBx4+qTsgPg3QHD4pxSM+d/MlPgxIJD47jx4+6AcSPi7ALz6Txzs+yT0pPjJRHT6VYSk+aFIrPqwVKj6sTSk+Y6QLPhEWAT7rmxk+L/sXPhsGLD73Sjs+fGIgPro5ID4F/IU+2wLWPjgrHT5augU+6q8pPj8GMD5CwDI+V7YiPqeoLz5JEDw+VPQoPnqFIj6w2ho+bbIDPvuOCz77XBM+zGskPjBUFz4r4SM+XRIzPsA+Iz5Q6hA+GXwSPqKrID6wmkw+Eck7Pr/FIz4Ygy8+KM8gPp3gGT46VRI+eyskPnB8Pz7XyF8+Y8lEPmrrRj6u7kY+2Vw0PpWlST5PQTk+EG48Puf2Kz7+QDE+i0Q2Pn05PD4OrS0+h2AsPoJjLT7pskc+YkVcPncoXT4KIUc+L8sqPsh2WD6JuS0+MoslPjt4Kj4n3k0+wwxnPldQXz7F13o+xRqrPs8Qgz7Y8TM+8E06PoDodj6H5lk+CJc/PuZ9Mz4yXRc+vIsVPtN3Jz7YRzY+6tQrPnCjNj52Bxg+BtYcPpaUJD5DTiw+sQASPlx0IT6K51c+VJBJPnERKT4NuyU+qXojPirIKj56JR4+/OkVPm/lJD7NrRk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/s0q89ZhOKPf/VkD1F5ZQ9V6eUPYpMlD1xAJM9vuGOPeWJjT0YfZ49tj+TPV2VhD3eQoM9PZCQPTqkcj2bdFw9GvFePXiYTD0SP0E9G9ZNPWhWUz03DF09zEJ5PfXgdD075XM99ytkPU/tYT3hwGk9wkdxPRJyfj1xNXk9TOx4PaLagT0j1nU9wWB5Pdz7dD0sn2o9ozxrPZDtbz2WBGQ9oAtqPbLBfT3zcoE9aVeCPbZtfz0jSIA99DSAPUvbcj1oSm89EHKHPZK8jD1vyI094MKFPbC3cD05hlQ9KUZMPaAGaj1eV4o9N0KNPW8YjT2IzJE9rgabPWOjjz3zbI09vdaRPaNCkT3vfo89E3mOPYnmiT0sooU92wyAPZSAcj1rBoU9MriRPVgfhD3cZXA92Uh1PQtmbz0ntWs9clByPar3Wz3C7lE9nSRiPbMtXj2XE209eIB/PbbcgD2CgYg9VQaGPVlJTj3L3Dc9d69GPe1zVj2bl2M9loNzPWlBZT1RKWE9ddZkPUF1Xj3aXFg9pNRYPRM1Xj1NSF09k85cPc1ibj3IHG09QHxuPQHIfD0TA3U9BDRePT7jQj0qLjw9fbQxPWQANj29xzY9w5A+PUwFPT2MYUY94bJFPUBZUj0V5F09pANtPU41eT1lPHg9vshmPbKGVT0NMjI9MLosPXerND2/iUQ90TxJPS/uRj1HX1s9YupvPaUFZj09imM97ahlPer0QD3ZUjs9L5Q0PdpEJD23rSs9kOg+Pd+fPT0FGkg97AJZPQfQlz2S+oA9DVAfPaT1Ij14kDg9QXmRPf4VAj6NBCY+Td1ePkeBJj5eSig+hEEnPsBaKT7iQhg+OsIUPqXfJD4M6S8+WPojPpHWHT7qvjA+opMhPlRMHz7ClyE+mrMrPtMcJD6rIyc+xwQ0PhQVKT69/CY+m1QdPhTDJD5lczU+3o4qPhtnIT6YkSQ+BgY3PpP/Mz5C+Sc+wDMcPlLMEj4NZSA+0WIsPm7NJD4gCi4+MVklPr4rIj6jQUI+p4dAPlPONT7lFSA+HPAbPu0HGz6q2iM+VWwhPlBgKD6wriU+ZTNTPla7RD5yWR8+LxUvPr7/Nj7XAjc+6KE4Pt09Rz5JLFM+yuFFPnrpMz51Ii0+a1QiPrRKMj5byj0+qk0kPoNFMj5TnjI+n3gwPthTLT44yTE+dBVGPovIPT7vOyY+m0YUPiuNSj6Ivy8+r985PhasUT7FrDg+CZM2Pt29LT5cEy0+a5UePqCqKD66ujY+qtkuPigPLj4Oxhs+HrcePmVELz7hfy0+TMsyPt86JD7EAhQ+5YwwPhZbRT75P1k+F91JPvNIMD73/yc+owQsPsNLJj4FKyY+JvEsPhTYJD7RZjs+ShZDPiAeKD7A5EI+Ay0pPiKrGD7olio+hksqPp9BNj4akjs+glogPkgxNT4LMlY+jR84PnPjFz4aNhE+OoEdPrnWIT5AeD8+/LM1PjQzAT5naXA+TEo7PrPNAT531A8+VPoiPpRWFT7+8R4+P5cHPgRYFD5bcxo+LVo5PlXNQj7ICyM+uQ0mPnfqLT6DSCk+RiEzPlCLID7btig+9n1gPg/HTD5duz8+uDUhPrVHGj4F9TM+LgMePn9dRD66FiY+IhM0PpxdST4WYxw+YU4gPjf6Rj40iVE+6704PnZ8Kj65Ric+LjEcPm+wLj6DjUo+ByI1PuMjEz7Z6xA+u3oYPvMUDz4v5CA+JbYiPuUvJj6jGVs+8ipRPvoQFj7qgQs+kutDPt6xij4EdoI+fIVpPhilNz6YxCE+6b85PiOHYj6cj44+CRt1PrsBaD5fSlw+MiJPPi5kTj6KL0s+4wzKPnHJkT72pyU+jfsZPlUiJT63JDg+maE/Prv/Hj4YSBg+C6UbPqfiGT49mRI+780NPuWKEz4msRw+BmAaPpeOFj6PlSU+ejIsPu7ZHT5WfSo+s1kgPhMkLj5s5yM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9jqr493ouPPdW+jD15nZk9y3WUPW2Slj0Bv5s9yGKPPdXeiz0sio894siMPTiMfz2Zt3c97/N/PXCwbT1SXV895GJfPfpCUD3/Tlo9l/JiPfs3dD1CxHI9z+d+PSz6hT1SV4Q9C1t9PfTHcT3PVGQ9KCVlPa/pgD3gdYM9aAdkPUvkXz3MkVk9W49oPXhWgT3S6oE9ejGHPYwZiD1V+Yc9EIaHPflElj0l4Y09T8xwPS/JeT2S2249elKAPR1jhT3XcYU9ePyHPZZQiD1kGII9nf9ePfRWSj3MaFQ9Ui9iPbQ/eT3NW4c9HemFPWDBlj3EzqA991mFPTAGbj32lWQ9bmOAPWQUjz3jX4w97ph3PaxDhT3Ywog9RTh9PSqAez0OvX49um2FPd+VjT2JzX09wWJ2PUE3aD0XUVc9T9NdPUR+Wz3ct209ThqAPZftjz1Yj5E9fKeMPQRBjz1f+409qdJ/PSEAXT2LkVE9ju9OPeXWVD0GDl49zOFvPTgVdT36NXg9gClrPV9aZz2bLmU9gC5lPYa0Xj2NGE09r8hePZgyfj1JVYw9oLGHPXnefj1HWWM9BQdWPcZBTD1vykM929w9PfaINj0kE0U98ok6Pb/zMT2vDUE9X/ZIPWqPTT3KV1c9+ElaPSg/XT1lT0s9eu05PQ/yKz2pBS49HTFCPZgkRz2xaVU95FtQPZl6Sj0+bVc9mMRaPYtYQT2RwzI9pis8PbDILz1zYSs9AEonPV+wHT3SjCA9OIUtPXjUOT3FQTE9Dj89PfK1vz3r+ds9Z6dFPbMzFj2FuBo9JNjRPdAuNj78ETA+OMdAPon0OT62ADI+qUUsPhHbKT5X0R8+CKsLPgiuIj5aUy8+DMAjPur5ID5soTY+AAM2Pt7QKj6O9S8+hipNPoCvUD7fFU8+kxQ/PkChKz7djSY+kJ4lPo0gKT6ZBDg+hSMgPkCuMD7AOD0+pqgiPiXpIj7zbyA+fdYjPpkkKD5RfSI+dqojPqwKKT6ETjU+mtFIPjLMHz6A/CI+VkovPv53LT58hCc+5+8qPqZ0IT7CZR0+9oskPh+qLz7vnR4+jINePkmwTT6pujs+qjhAPiyqNz5Jmzw+SEs5PgmnTT5anEU+2t9GPnV8RD6NA0A+lvYvPkuIKj4iBSQ+U28iPnHfHz4NYCQ+Wa87Pj6eUz6byDo+rzgnPrWhJj4B8hQ+q8AiPlnkQj5WIDw+UIs9PhSzXT7/By4+PykrPoKvMj62hy0+eF8jPhqeHz7uCSU+JJIcPmuDLz7TeSg+oXQYPnG1Lj6qYjU+qVAmPmahHT6tfyg+Fs8nPteSJj4oBjQ+Hlw1PgfeUj6zo0A+9ZU4PmxbQD62LzQ+RwBCPk3zQD6vDTc+uzMoPid3IT4kjj0+4EdJPj7SRT46E0M+zQIiPoeaBD5tjB8+790jPibbNj6v024+m6dFPkWQGj69HxI+ySAcPiWPOj6pQzw+NkIpPgOW/D2+9OI9O7wOPjdAID71Uis+Vsc2PvTvFT4EbiU+8WggPuXnEj4WkzM+SKJWPgGLQD6epDA++q82PvOoOT6jrjE+k5AvPvVHLD4xcTs+Ws1APn/GNz5fHDo+H1shPpfHTz5AZVY+qZtIPgRSVD4XJ0w+VeprPqWbOD6mgic+BZcxPp99ST6L5U0+jGwqPvS0Lz6OFTA+p4EiPhrsGj5JDD0+WppIPkxuND5e+Cg+sRM0PlKWLz6C8BQ+CawiPuBLJD4/cCY+1mUqPq06ET5vjxI+dFRQPrqAYz4AAY4+MINNPgmKOz6m6CE+t5sVPov1Lz4DNmY+Jr58PjKpTj7nFDE+l0dNPj55UT5aGTI+83l0PmiyQj5FFyY+cUMiPnR8LT4RdD0+RWQ3Pij3LT5+GCM+DO0ePuISET48ySU+EKInPkmREj5OERc+xrYlPjn5JT5MGw4+6p0XPkUlGz6eHBI+mZMcPpu1FD5AMA4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8opcg98gaKPTvEhz0ScY09CjiSPdrKjz1yV4I9rHKIPSnIjT2d7os9eqyOPQxokD08CIU90U+DPdlziz2njIw9v0SNPUS9fz10PXk9sERrPWKKWz3yw2Y9K31uPb9bYD2Tl1U9AgFbPeatWT3gLlo9n6pTPb2YXj2Ff089S0xDPUeEUj2DIWI9MWqEPSV2jT0gn409b9iTPT8sjz37eI09o2yKPcaCfD0YVWs999RrPcRcbz0VBIE9CquOPY8gjD2SyIY97u1/PW4mYj0X5lE9YQJOPfR5Sj0Y92E9Fkt3PWPCmT09yaE9W5SOPZP8kD11SoM9JRFePQVmcz1T7mg9Nxh/PUxEkD3F9Io9dHqCPQvrfj3dNIQ9YkZ2PXw/gD1kgYc9A2qDPW0gdT2mtGM9whBcPf/gUz3sDmU9JlR1PS8pfT3YPYw9hASQPZIUlT2jYpQ9MwGOPewokD3yh4w9dYOKPTuobz2tAW49+YVuPZqqcD3+3mY9rElhPTDtYD0NhFc9vpVaPdt/Wz39bF89la1zPST+eT1Ov3I9M4yGPeLbhz0eOHU9OodYPUNwSD2lkkY9l5dbPYb0TT0QqFo9YCZaPRrYRD1bNkI9bMY7PTDKRD2lt1I9DF5sPZcVZT1sgko94dBIPUIEQj1I3zU9089TPay8TD2FZUs92+NZPX6OaD0yXFc9f2Y5PaJeOD3C/TY9Kq40PXyCRz1GjU89RS1aPb3gTj2PwTE9ze4hPa93FD20Kx09I/8cPe7eHT38IiM9NzojPeQFRj3MlU092icfPUlqMz0irCY9YjQ9PYpY6z0vI0w+4pKBPvOzRT7NcjI+Xj8rPhv4Gj7PgRE+f34YPoNZIz67XSE++S8oPnLJIj55DDk+RFk1PnhsIj4SICk+Z3M9PkfsKz5G10Y+ah5CPkWyNT67fCk+KTwhPsgQKT6Lbys+e98qPtNuRD6Dqzg+wSw9Pu3YLT5Z3h8+QXcgPvBXIz7VxR4+KKoOPtcZOj63Skc+Xzw1PikJMz73wjQ+3Q89PvItOz6IAio+/govPnN+Iz4pASA+swAqPiTBLD4z6SQ+okKBPvxbaj4/Azc+QZk3PvAqST4PDTM+uBkWPou8Hj6Xyhw+tctMPmtuST5S+T4++xNEPhaANT4zYyY+vxMmPu11Kj7Unis+z60tPqxXKz4q2jQ++hQvPgFgLz4q6Bw+3Us1Pt9ARz6YbzI+3lo0PsuORj5khz0+CrshPjsBJz4iBhg+GQIUPuJ0ID5i/Cs+DbIUPge5GT5oNyI+34UvPokMJj7QzCU+PfwpPvvVLj4kfiA+7n0rPnriLT75uyw+LFk7PnxFND573j0+l/RjPncaTj4+0kY+sOlbPiebSD7pMSo+9EIxPiZuJz7kdjs+jt5NPoRgQT7FgS0+UUMXPssjAT5X6hU+KmUYPuOgLz6gbjs+6MM1PnIIQj7XLk0+efAsPjBGKT4t8SI+sBlDPqHUID7/LvE95FAMPjudQD7qTjs+sx8pPjpxFD6GBSY+Ch5DPqeEND5T7kA+6glAPsSgKD4UfSU+ehIlPuXXND5rljM+30BuPjExWz4LQUY+B/Q8PpKGLz5QcDA+oXkwPpHeKD5nvkg+cIdePjtNlD5jDIA+lX9RPoFuNT5ofiw+CRIiPvNyGz7UJTI+SKUhPqbuPz63dCI+PhEaPh/QIT4phxc+fNkvPh0EUz6zrDA+c/4sPrcWOj4gqiw+G8A6Pp83HD422yY+UhM1PgnILj4U8Sc+v4dFPm5vOT6nylg+dsg0PowvKD62/SY+yZgDPv/cMj606Sc+qkxXPohXsj5hC8g+ZViEPj7RTj4rAkc+vF9CPrjqUT6af2s+ETFAPvV4Kz70NkQ+BmBLPmwZLj4vvzc++VBIPsGpGT6/5hY+4oIfPmWEBT50FA4+JqgoPq46Gj4NxBg+mmAdPqpACT5tFhY+JX0SPvOWJD4m2i8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8Lf6g9eBKCPY99hT38fok9g5eNPU70lj0DS5E9tZ+WPdMmlD3TYZA97LGJPdd6iz2aqoQ9EOuCPUp7iD2EP5U9SAuNPcoBhz2naHo9dPt8PQIFYD3RRFc9/wdjPfWxWD04xVE9QoNiPfCTXz1R2UQ9Wf04PZSNRz3UPFA9X2RjPTyegT2plJU9rrOjPcklkj2p/ns9T1SAPRPbeD3NsGg9XSZoPdJxVj06G2I9dOl4PTfWij2vZ5s95zGXPTDFgj0f2GY92RBaPWGWWj2DlV894SVpPTNzcj2h03I97iiAPdTOhD3LxHs9QyxxPYqKbz2aPns9fdmLPZvlmT32dow9HpeRPSramT2JWZk9HfWRPcd8hj2IZJE9Lq2XPeHBjT1XZIg9sxl0PaMoZj3R8kg9OKxRPRG1bD2Cuno9STqHPf/ijD1cZ5Y9PkuSPe43jj3iu249UKhoPQ98XD3CnF493o1rPYB2aj08vmQ9fo9WPVrVST33ajY9cmxBPaefTT3V7lw9czljPWnFgT0xSog9wu2DPYXIhj0aoYA9NeZyPXJuVT3CTE49CGJGPdaBQD1JLVQ9XFJSPUDqPz2qoUU9hLNKPR+7SD23klM9aWdQPTENWD2sKV49IqNVPWvnSz2VgFE9T3NMPYlkOT1T+Dk98flXPTYDWj3A5mE9uP9mPc8nZD3JU0Y9wWY4PZ8oMD1eaUI9R01SPU0qTj3M1U49clg9Pb3cOT2zkCI9ZsErPYKrIz0Y0ig9gOUkPVDEIj1XgzE9UuQuPSx0Lz3SZBQ9pBgYPRNwHz1dXxI9CjNDPXa1bj1X1M09aAdPPlEQXz4AQy4+C8MdPptDED7GVA4+pvYePvOOJT7Mvyc+6HkqPmUYJz6BUSA+Ed4rPmuzHD65Tho+i+YePozxHT46gCM+0cwaPpgUJT7Yjhs+PjMYPr8aGz7HjB0+1tAiPqf8MD5mDTM+wNgzPjSELz4XKjI+CBwkPowvFz596Rw+dbcgPucRTj7yI3E+iF49PhUtNj6BLDo+TuA0Pi+oKT5wsCg+y88rPtrtHT4+0gs+Ff4iPtwCPj6qdzY+lTJcPpERgz6DTE4+2ltRPmgjVD5AQjs+vS4iPn7gOz7GbjM+KEU5PiesRT6FPUA+M4M1Pm7INj6WSDU+1E4yPjlTLj4/CTY++1QuPshuND5QDTQ+PXtCPgVoPj4pRj0+T+4rPo9lHz632zE+iCUlPssHKj66gzs+XNosPqvVQj5Bti8+r+YjPhubJT46JSA+QgAaPo0kGj6lNCA+lfUfPmCWGj6ffRw+OtZRPqdLKD655Cw+4+QyPvCeGT7O6ig+qo0jPma3KD6RAzE+5w09PpWpOT6xwTw+rzJIPrXsQz6Pvz0+D7ZWPvJaQj7WpUQ+Ax5DPv7zPT6nvEU+7zwzPgeSKj7T3is+oIcwPmLwRj4WWjI+vKJHPps9Wz59v00+LAwsPnnUGj68aBA+xcYoPnzIJz6NxDI+VnUwPsfPLT6E0Bs+Lcs7PqDIGj6q/CI+hpc+Pt98HT6fkB0+e0QtPlTtOD4E2Ec+WVQ1PqhuTz5r00Q+rGtDPuhtMz6Y9D4+oZ0rPlH/GT4ZviI+XIkxPq9WMz637Tk+BNwnPgN+Lz7Cwh4+TdMyPkl2ej408l4+Z+I4PrU6Hz4FvBk+EjsaPtNyPT7iXh8+H0gbPuIYLD47eyY+s0MjPheVLD5prUQ+qqxaPrv3Rj5l4yI+NI0gPqhJPj53Ck4+Wso4PhMkLD5c1CU+BUsnPsjaKz7Ycz0+cdAuPm1ZIj67GiE+3UoMPh7oJz4PrCA+u/AtPvQotT6cBs8+FRhnPq3GWj5LXXE+VNVhPvwWhj4bxlQ+RS5SPquBWz75yVw+BL9MPvX8Vz5KjkU+zPwnPlK5IT6c0RU+0mgbPtNwHD5hDRw+INIPPhpzET5hvw8+W8MUPjrOFT590RI+BsoEPiQlGD7wSjU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9rgpc9Ej+JPRK9ij150IA9NF+EPVHIkj1pGZA9la+PPZeuiD2w54I9TgGBPbwXgz2X04U9ISeFPSC7gz2C+Is9J3mUPdYUjz2Z/o49pCaZPU2LiD01eI49BKKSPfMAgT1I8XA9APtgPbMbQj32lUA907JCPUmEQj3Awlo9P1Z0PUZmdj2obG09TPNYPb3VVD36oWU9cltpPUYDZj1a+mw9iSGDPb16dz2xyYU9YZ2RPdRZkT3pppU9pFyIPfrJXD0Vh1g9sQRZPcQvaj1FanY96xeAPSr4fD1qoWo9NnZyPXQVcj3tv3Y9Tw6CPUUVij10WYc9wDCIPQw9lD0jh4Q9rGt/PS2GlT3KH589OQyUPQR2kT2n0YQ9/i19PS8jaT067l89I7JaPaLgXD1wY1c99xdmPf51ez1cv4w9i+qXPXpBij1GyYk9T0p6PWwNXz1DfGA95ZFgPZv8aj0yDnM9+RZsPT2PXT2illQ9BgxiPTzeTT1kMTY9LtBNPZhcZz3lUV49WEl8PRo+gz1uCoA9/wV9PaKhhT0XNoI9U/h0PRJuWz3JB1k9kldJPZcUTj3irkc9J8xDPbwtST0U8U89pQRDPTB+Pz1wx1Q9ChVAPURyQz3t0ks9xSNgPXNQUz2HTVY9Y79dPQCHTz0Vl149aEBhPY94Vj1CDE090o9YPZHNTT3Y6zk9nzkxPf3vLD2V4Sc9+i0uPdbbMT1pay09aqEtPQGIJj204xw9GugXPdaIFz0ubRw91rkdPbN6Jj16l0Y9z+eFPSVSbj1OCQ898Q4QPQt0JD0QNQk9MCE0PZ1krz0vfgw+WCZFPpFNUj6ixxw+/i8pPnSzHD5qzSY+N5YiPjG0Jz4S8ys+Cr0iPgtmLT7Z2SI+La8sPskgJj4AwiA+RpEaPk4gHD66oSQ+0u4uPkerNj4zWRQ+4D4MPlB8ID5pODU+VDU1PjTFPz5v1Dg+h+0tPli7JT4ySSo+oLgpPnN2JT7erSY+LDUwPuFwTD7YUEI+YYcpPmkNPD6vzi4+OxggPusfIz6aICg+4SkjPpg6Kj4z4Ck+LJcmPosjKT5c+ys+TeM5Pt5sQD5IATU+HaEzPqVgMD7tIS0+yN42PlMrLz7B/Cg+11FFPh2oXT6gF0E+9aRBPh33Kz4vrCI+XfEkPuI8KT69wS0+lKswPhC3JD5xJzE+ujY+PqkTQj4GJDA+pgccPmEaJT6utWU+sZszPtefJj4zMDs+epkxPkNCOT7ZAC0+BEskPoB5HD4/1Bw+R8kJPmFLJT4JEiU+X0YiPsw1Gz5bGhI+Izw+Pk+3GT6WRDQ+8NUjPtuoJT5eWjo+kv8vPt9tLT5PUS0+rZIsPiM5Rj5UjjQ+Nok/Po+/WT5K3D8+TUA9PmAXQD7N8jI+p24vPlxsMj6NXS4+5G4xPsmJMz63/jg+GHs9PjVVOz69RUM+A4VBPqZHMT4LADU+RpwvPjZULz4XoR8+EkAjPtBGOT4F/Cs+zj8lPtcdKT7pnyM+ApUcPuecFz6vCws+TVwYPj1eJj7mEiM+Luc5Pq6UTD6aIDU+JZUZPu/yhD4ZOYw+P31aPuRJLz4vATo+0J06PpTYMj7NOyk+zQ4xPowJMz58Vis+m0UxPjEKMD4evDI+M3g5Ph/0Nj73vjI+MYgfPgeRFT69HjA+onw1PvoEKz4pTiY+NUwZPkI2GT5Dvhw+GHkZPhWCJz63lyk+2ttIPjwJNj7bpzY+k6hiPtB5RT6EiTc++hlSPt6cVD6U3jg+FLUsPk1HMj5y0j4+86IoPvtdLz7Ry0s+ZeAuPu8VET6KgSk+HHIbPkNzQj59Z58+bBjcPtzQdz5Mmis+bc03PghiOz7vUTY+WXl6PrxjYz6YvnA+2Ww7PmezHz4sZ1Y+sBdUPgNIMj6hrQs+fVohPhFGbD6yYUc+FscxPkOTSz4KBiw+qYFFPmnaLT7NnR8+DvQSPuuJFj5kTA8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/fXZw9L42JPT95gj3e+II9C+mMPe6AkT164Y89evyTPZHekz3XQpQ9b8uKPVDpij1Cf4g9mCyRPStHiz0Y34U9V9KDPVNbhj1t+4w9+PyRPcv8ij1U0IA9SGBuPVieRj1IqEI9quVDPQwkTT2bTFk9rXhhPZKCWj0QY0Y9QBdPPXeVaT2Pkl490rhbPVWpdD1toIQ9IW2EPXSWij19aI89eB6RPfpDiT1xXYs9YAmNPfxahT09UHI9Q5VhPbV/YT0pR3E9srKJPR2Yhj3OEnQ9ynpSPUjYSj1cel49TpV7PbYShz2JGIk9GPqSPac6mD3cdZE98maJPQQujT3xipM9adyXPTsilz189Z89pIOXPV0XjT2X63A9EadnPfb1VT1pukw9TLpXPQo0aj1zYXc9Jux8PekAij0sKoY9lr2CPTJuiT3ql3M9uWttPb3QXD3KC2g9Swp/PbYWYD3D9049cCNlPXVhaT2KDWM9ZhBjPeeHWT2dan09RVmDPZMQZT3/aGQ9Bd17PReTiT2LLoo96iSLPbhxgD1SkWw99uNdPWVqUD2mfEw9zNRQPdbeSz0wW1A9ZxpWPTn+TT3T51M9ljhKPce9Sz2I2WU9+ohNPbMdQj1p8Eo9ipdoPWllUj3ARUM9eK9CPdp0Rz32S0w9HJJZPShrSj27I1I9gDpqPQDqVz0R0jY9I8QaPZFzHD2LKy89BNE1PUCxNj2wJyg936wZPXGbGT1a3AM9ORkHPWzFFT2nohk9b/8TPcubHT0whlE91k7KPZl2rz2+MSw9mp0tPZWbDT3QmAs9Z80sPcKipT2ctis+CWA/Pp9HKD7HhB8+8oogPsilJT7HgC4+Y+0jPkfBID4BLSE+lfkpPlKAMj4/HCo+bu4gPoEMIz7xXjQ+8jMuPrfZIz534DQ+H4IsPqFPKj7bzBs+1XoYPtwcIz4TXkE+ZJeTPqhWeT5ar1c+7IFBPs8JLD6T3y4+keQuPvzhLj6lrSM+VtMnPuDCIz5YESM+NiokPqyCIT6HXCY+UQ8jPjbCJD4RHys+SdIgPm84ND73qzc+HqYuPvzFNT4WRC8+hmw6Pp9fLj4uCiQ+y1ciPm00Iz5U2yw+WCsrPlPlOj6WSTE+3QRAPkLMPD5TTjY+kihSPkcxUT5rWjI+aCosPkwjOz6HVTs+UJIyPoxDIz5TWSM+/7MwPlBfQj5F1Eg+PvEtPk1QID4gVUA+dAUuPsS7MT7ZJzU+BkcrPuyQKj4ePTc+DN0rPmm8JD5HKyU+3h8tPpVbHD4G/hc+/44rPsTpIj7a5jM+DVIqPlfzLj4MGS4+AfkiPojUMT6DVxo+IwYdPngOQD4hgiE+nJcMPgFUIj5iMiA+CPk+Prg6Xj5g+jE+FDAoPvdOKT6y0EQ+Lng6PrFpJz5njDs+YH8+PgM2Lj7aziE+xukfPpbbMT54bTs+Qvk4PnpNJT4fhxM+yG4PPgmiMD6z0Us+hLIoPlJwEz6PoS8+v74jPvzyIj7Hjjw+Tp9CPrsaHj7qsBI+P60WPmuiGT6Dhy8+KuUqPoBUNT7Qg0s+QewUPoRDVT7pR4A+odmLPobJVz7HM18+YSNkPsQjVT6l6EM+W9xKPsOxLT4c7x0+emIjPhR9FT7wqBs+LP44Ps5xNz4wdjo+1e4uPh2dMj4LoEA+zNM5PperOT5DryY+O3sbPgSkIj6u5yA+xUMgPj/vID7AAC4+kjgdPqBEHj6okic+jdg3PhXSPD54QUY+mxcwPjwLUT7o4js+ReMrPpMsPT7X4kY+lPA+PpL7SD6zo0I+FrIDPuuGDj6/Zyo+R0gePg12Jj5Em4Y+eaLSPgm3gz4eJ5I+FiuEPveIJT5tolI+5ME4PthgMT4AIz4+c7hbPpWOKD5Je0I+GrkSPn7AMT7by2I+3c05Pp2POT5nIS8+zrIfPn5+Kj5rFSc+chwvPlXRNj71J0I++/5RPqebFz4aoxQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8D5JE9Ck6JPTGfjj0FbI09TXCLPbbKhD1jp4U9N5KUPea2lz0hgJI9MdmVPbzwiT3ie4Y9F+97PVCCdD1sZ3o9f917PYP+dT3pT3U9VDVvPRpnTT2Lkz49ut9JPXJ2UT2Q81I9rfldPQoKgD2wNXk93X9mPbbCaz0b5nA9+7JuPVELeT2BKX89mN6LPSvMij11VYg9dheNPVO+iz0dgYY9NlaKPb58iT3ANYM972R9PRqsaT2BZWA9pApxPZK3gD1nloY92pGFPZprbz20HGg9ctpePZ8Gaj1mVHE9d5aDPW6Ajj03t4A9bSuDPQZumD0WSZo9EUGWPXb/pD3SX7g9+2+2PSYiqD2JMZU9VGqFPZ5+gD37TWg90HhnPQ+rWD1iYGI9JJJvPaJagT3ayoU9ySCJPQokhj3wVmo9UCBfPfEiYj3KyFA9gZZcPTQ9XT3jYFI9WAZRPZ3VSz07aE09OypaPaWfWz05AGM960hwPaBShT3M2IQ9K4aAPWvecT1CKX49AUOCPSWlgT0piXo9A5RbPQTbRz35oUc9Z0ZMPbYnST078VE9XQ5GPSpQTD0htVE9rKxSPYT4Vz37rFo9XsxaPeQiXz12yVc9DKZFPR2vTj3e4kM9dS0+Pai/Nz0J+D09qftCPTZ+SD2ILU49V+JePUjVbj1ptZU9yJPZPR1Pkz1cvSU919kUPXTVJD3IbCo9zSQYPUWtFj3tWh89e60fPXgtEj3ggAU9kp4RPSpYGT2ERSU9BPsdPRTrHD2afBk9hQ0qPVA4Kj3a21s9bgHLPRAAtj1T16U9K7frPbG+QD6nsF4+hCY2PjjoGz6pwhU+XU4TPjIsIz7L1yQ+QLAwPgxuLD5c/Bs+qKcpPn+DLD6h2yY+bnYgPtIeIj4S1iU+7l4MPrnQAz4LiiM+vXMiPtCWGz5Rgyo+dgM8Ps91ND5QgD0+b6Y8PsdiID5WfSQ+0CUxPr8EQT5u4jA+TdM1PpVOPD7j6k0+qalEPvQvNj4/kC4+j9EvPqujNj6lHS4+CWghPisVOT7mcjQ+IPUsPn7UNj5u+S4+I30zPslrKj4gWSc+++knPgbPLj7xLiM+jwslPnbKLD6TJB0+S+osPv2vLD46Ehg+vzEpPtd9GD514B8+d6hLPsCfRT6N4EQ+fdQ9PpzHST4VXD4+77s3PiU+PT446yw+7vMtPm77Qz584Dw+HnI6PgASOD4RrC0+GGgrPtUoOj7YuCc+qyE7Pn7CPj6/DSk+3tAjPuOHMz6PaC0++hwoPgMZGj4VZCA+COMcPl8wMD70njs+/DAhPgC0Hz7rah8+8FIgPnIUQD5sSxI+z+A5PrMXQT6/uiw+mUAYPthiJD540Sk+ku9BPq78SD44dTY+YvQvPv+lIj7m4jI+eV88PsHJKT6ngiA+in0mPi+4Mj7+Big+bIAiPhTrOT4Frjs+PQM0PigBNj64iDQ+PjUiPt92MT6mqyw+1MIwPogGOT6I7is+lV8pPry/JT7lyx0+hCUnPjpJFj6mTyY+ZGE0Pj5UOT5Lsis+GAcOPvANPT7KnUg+KRk9Pm1bSD5WXTU+33syPinRKj6x7VU+24FVPlOfTj5pJ0M+A9o4Pn1pMD6y+jo+93YePld4HT7anhg+vecdPlyNGD7BUBc+spAhPhX8JT6s/i4+sw4uPrRuMT7H4TM+lUIjPiLjHz6FPjA++voXPonfGD5YdSw+QPUoPtmMHD7LnBs+zH8mPj5JIT6Q+Dw+bzkmPl6NPT4r1Tk+siIvPlnMKT4PvzA+PR1KPrWONz43fTE+vsIFPh2G/D23gTU+w5lvPgtAYD4470U+7YFfPmhOUT7/F2M+hfuIPlzJTj7Jfl4+HMVbPk8Ybz4QdWs+o+VNPuORWT5Owkw+pFg9PtBsiz7nZGY+ThQVPmDkMz5Sr2Y+ego9PnkLFj4mAjo+mw1ePlSxST46mmU+uGpvPtxyGD5gHR0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9IgKQ9cqibPXenmT2d95Y9grqXPWUqkT1C2Ic9rziMPdO+lj0NEY09ZziEPY7ahj1vvXE97ZB1PY7ghT0+vo09ygyEPbfmaj254m49ETtXPUwIRz2gQ0w9ZoBZPWARdD20CXE90xBnPdwGbD3HAG895ERpPQD6gT1IxH89aaaBPWkfgT1tsn49HZ+HPd0Ijz3qdo09Sm9+PclmYT3CHH49Msh+PekTXz3pBko9rqpfPUyAYj0ydWw9v1J5PXoRiD0Rmo89oyuQPfpqhj1IXIg9E5yCPQYvdD0nY4o9i+CXPa/arD2o+qE9akeXPXHGnD13PaE90gmZPdzgmz1385U9U26RPbWpgj2OSW490HVcPYz5VT02tGM9SWRyPZH+ej0lxX491IWLPRLQkz1TNIM9yXiBPbUuYT14B2E9PIVuPWUJeD2CsnE9+g9PPYjASD0U9049ssBWPbOFZj0taG89imhkPTXRYT26roY9oyqDPbuafj0luow94N+IPbnLgj05EI09MPKGPQ8Rgz3tQWI92ltQPcF0QD23S0o9CHVNPct/Qz2N20E9rDpYPXfBYT3hc2A9ZIRqPa/5Yj2kTGk9rDpQPeAqOz2N/jA93gY1PbhaMz1dsDI9YU0rPQxKPj24zVs9Z6BcPcoTYz2emVs9R6xVPboEUT3zcmg9DT2oPWJKrj0mR1A9NBc8PWM9Mj1pYiw9uMkkPemWDT39Cw49Z8YfPRHmNz2FIy49OK47PZPCRj1xjV49kj+BPSaCtT2BxeE9D51HPStLJD1hbCs9kfc+PVLFKz2tEBE9r6vOPbFMXz7RZmk+e3sdPrGAHz5Qyhw+sP4vPij0NT7JfiE++MkoPjsGKT64miQ+zHMpPotLNj6y4DA+qFYfPlb+ID79ixY+RQ4RPqsfHj6/lxw+r0QiPhpYIT7QQC4+G/czPi0YLD4FNik+e9gaPnwJED6SOhs+0Zs1PsNlOz45zTc+Gio4Psx0Nz4rkD4+E3w5PmURID6L3yM+/zsiPrggJj4dTiU+KhoaPmeZHz4n2yc+k/40Pv4dMj4JDzo+olUvPvYMLT7yfyo+0+EpPrCGKz67EAs+5porPh3KTj68NjU+JLUiPuyuFT4Cwh4+nEghPv7rLj6a/Ec+qtozPkWUIj5dFhg+uPMLPqaMPj5hCTc+JeAvPnqzKD7Z0C0+B0csPrrLRj7ZuEc+WdQzPoLNKz5ONTw+46w4PgKAMz62gTw+/As0PhoqJz6EyS0+XtQyPqq9ND7+vDA+3fkqPmEDJj7vzTQ+37YtPj8aIz4VuS0+oB4vPl08Mz7huC4+aAsoPvF7HD5SgxU+M3MkPsaxHD5A0DA+BtpCPqPILT5+hC8+pXs0PoiNLT46GDc+Yv82PrSnLj5MczI+Bwk4PgwgNj4Kby8+CUk0PuQ3OT4LZz0+ds01PmAWOj5l2DQ+N8syPscpQz4qPTY+pLAqPlRUQj6xXj0+kaAzPm96LT7MiCc+Ih0qPupAGj7I4RA+FANLPniXGj7TNjw+pm07PtpUMT4WVC8+vvEZPpLXHT7EViQ+BjAwPqv/Sz6+z0Y+QB4YPlg4+j12MSQ+aqpGPnLmOT7ZYk4+OnVOPjkcLj69PzA+vXInPoC+ID64NCo+RBo7Pm1VND4V5Tc+CjInPuITFD4zuyM+28UyPmomFz6W2B4+z1MyPqJCYT4rt2E+LKUhPjKyKj5EAzg+G5IWPoF+Cj7z+iI+mVwpPry5Ij6p/DY+Uc0/PuDHNT5noiA+NIohPhCzFj63hiM+13VEPpIqWT4FiUA+50YLPrjOBj743FE+cqCYPv1YgT4suSQ+U28YPknTDD7HnRs+Urk+Ph+GST7kMDA+/05SPpqsWT5lhTw+8uRIPmLnPD6Spjs+ZU5jPhSqVj52wzY+We4tPvn+Oj7fszU+gpMmPgbdLD4lky4+6o0xPqKmiT4AOGY+339FPnfhVj6otIE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+AUos9qkuLPc4Elj3LHKE9bIaoPfK4lz04k5I9PHCHPbNxhz1GUI8999qPPVvXjD3R24E9OH6FPb3WjT0+W6Q9TIiTPaSHjD0K8IY9Lgl7PXxdeT2JJ3w9tLV6PUd7cT04+YI9aTpsPb6+Yj3sDXI9J82EPQSAhj1/AIs9Xp6EPbwBhT3RAYk9VO6GPT2cgT0DH3w9ruxlPVA5YT2nO2s9S25oPRzhZj1FXn89aGt9PbpPaz2G4W09ot95PXhifz3D3YY9iVqLPWIvej2+GnA9eJWIPTuvlD0pnJ4919ugPTAhnz1yDpk90DOXPSQKkT3sEJE9wW6WPdbYmD2YPYo9Ue93PQfPXT3zB089YLpLPVlHXz3F/mI9UWuBPSNiiz3ckoU9+Z+RPe2+hz3kMls9cztTPRb5cD0+c4g95XJ7PZdXcD3wg2Q9FKtOPSXJWD2jV2I9MTFoPRQnfj2ymIk9PsmKPT3hiT3VxoE9idx+PRfnhT1a+IQ9Nvx3PT8ddD09jX49ikFlPff8RT11Nj09A0QxPYnoMD2dZkQ9NOlRPTjaTz0FVVc9v0VoPX6/YD3lpVo97ttPPYKnTj3XaUM9SxA9PcpYLD024DE9sIwuPXmwOD0nrUE9Fek2PUiTQj2/eFY9aNhtPaUkgD3q/1o9L8E7PVuIPT1j9j495VQ2PSQ8Kj24oDQ92MU8PacWKj273xc9bxgNPQHmFz0Vkiw9uXAvPTZXQj3MRzA9VAMvPVFxMz3kOu099K0iPj/OCz7YtOM9iBtnPRkSOz3ydj49o+U+PUULQj3FtdA9Auc7PsaXRj6k0TY+J54jPv5fGz4PqyI+wWo0Ph1yKz4qchw+PioqPvc+RD4pV0g+s40uPp5qND71RS4+NJkoPqHCKD4ROiY+dMMmPoBULT6y9hk+g00iPoBhHj4Dnhw+VSQmPn76Lz5gOSs+aO4qPu0oJj5U3iY+G94uPvQTNz6d3Ec+S5cTPuolIz5LujA+SQA9PlESNT6J/Cs+1GYvPp6cLj5Kqig+OvAdPs0XIz7qjic+HzIvPqyPKz5cAy4+I5szPm6uLT7F7y0+JZ8sPopFLD4daBM+r3McPvCyMD6TplA+tbw1PuTSHD5D3xg+gxk9PqhlWj477i0+yLoMPnqgOT73jSM+f4gqPobANj6ReDY+ceAlPulJLj6EoEI+Sc42PqINOj5G8y4+5FcuPqT/KT5fnzU+COM1PmYHOj6NAjw+h8Q8PpvZMD4m3Sg+Jq40PlROOD5vDS0+2js0PhPiMT5NizM+I0VCPrp6ND7tdS8+dJU6PvN+QD53iSg+uDMqPnktJz5NazE+rvM5PiejHz6OiUI+aepJPrGDRD7YIzg+9XA2PrlgOz77ujM+9JMwPrOMLz7RrS4+Eak8PgckOT5quyc+EI8oPrzfLD4CQ0Q+3mNHPtrvMz4kOUQ+CBUwPmNgKT6hYi0+BHwkPjDCKD6mCUw+c7w+PkDFQj51ljQ++sQ1PuvJNT754Bw+bXgvPti/Ej7oNz0+EDRAPjx7Ij4pqyI+PyIGPjyc4z2kU889zhXlPWoCJj7wMEM+dxJTPvM4Hz73qx0+1vMqPgCvPz7KtlQ+zX45PkbALT6LMTM++q4jPltrJz47gCU+QZwqPv9TRz4YQ14+kr5EPqNQLT6eKS4+3G4vPgXeMj7Gyh0+QD4qPg/EPD6rwTo+r0hHPmfEOz71/SY+z28qPgPYJj7ztCA+v6oZPmn1FT4IGTY+MjVEPj2NOD7nHQ4+j2IaPlBrFj4amho+AgNJPkoeYD4wNDc+PBMZPulNGz5SU3c+t7p3Ptu6MD78aDI+hjcoPt2vGT70Swg+YkgWPpglFT4NrDI+9Ms/PrBnND6SH04+GVVfPhGHXj6ty1s+E1hcPvt5PT568U4+90Q0PjbPJz796zE+e9ksPrnqOD7/iy0+xJgvPkYIRD5cTi8+Y44mPh1PUz777bA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+AQ5497bGYPVz7mz0bhJg9KFuRPbvGiz1K3Y494WeJPZ4XhD2r74o9ABmRPWLXkj2Cr4k9eouVPcVElT3Ohok9G5SIPaiMgD3DDns9OSGCPSQPgT0B2GM9o9ZZPQo9dT1GxH49YRd1Pc5Pej2L4n09ZYOJPfZKjT0zOIk9pCyEPeaAhj0WNIk964tzPU+TZT1v5m09a75pPTuebj07b3c9lC6EPUGwgD3GUIc9CMaPPVxfkj1J74U9rDuCPZt0ez0+GXQ9RxV5PdKmdz0J6YY92CmePRrgnz2Go5o9RfuVPTCjgD0vEns9a61vPQs2eD1koIQ9iaCWPcalhD2JjYg9ZxN+PRiyWj02f0w9QyVWPVFOfz3PMYA9gZCBPe0Miz2hF4g9PaGAPf8qdj1PMkg945ZjPZaZeT0uRmo9muhRPbo6Qz2XMEw9koNhPWSXcj2DX3U9G4+CPUnTiT0hCYg9Mcx6PZRhgD3lSIM9f5SEPZZiYT2UB2c923BtPYosaz0OPmQ9ENY0PfdVNz13OjY9Gq8/PXiGRD2Jwlg9JJNdPbEcUj32QVg9llhGPa4MTT0dtj89KNAzPTwqOT35QjU9hDU1PfvhPD0SwkM9Wb5FPaCLRT3k8kU9DIJDPRLtTD1EJE49/Ew8PV1OTz0nkkg9U7c2PV1aMD1geCw9qAkxPagVQz2bBk09i3kkPS0Z3zzYMQk9CcgdPbBpHj14nCo9I80XPbZXHj2DfCU9d+8lPRz0Hz2NDTM9JRhLPd3CYD2Ollk993sxPXZfEj0WZz09wumjPV/l3D0dzyQ+G0I4PgQjHD4cuRk+E/8kPlVAIz66Iig+PmtEPu24Mz5lUDw+9HhDPl2kPz4vY1w+5bxMPmBBLj6NKyQ+5o4gPrksHz5vchw+8n8qPkvUHj7wuyk+FPciPmT+Hj7mACw+fqgiPnLpJD5OBjc+ITIuPlrxRT6lXzc+9KQoPsteNj49qDk+dkAiPsuhEz6mZi0+KC0oPm/BOD4KKi8+xNMiPndOIT7wGCM+iggkPkQdEz78VQ4+/7ktPvgJIT42mBU+2McsPgzlMj6ITSg+af8zPiJbID7Njic+ALsdPks8Lz4TPDo+GEhBPtW7IT5/Ihc+LS43PiWdZT6FNxs+ztQlPndsND6jUzg+X+AmPg1SGD67LUI+rLdNPn2MNT5T3zw+0W01PmfgOz7YxjE+tfY4Pp2QMz4xVy0+bEIkPgIaKz7UgjQ+DXw2Pl52MD6u8ig+BaYuPudiMT7wITY+v2EsPmYdND7hbD4+uMc7PlOdNT4PXDw+C7sxPmxeMT75lSs+oZ4lPmD0NT4l/Ds+mfE5Pl0IKz6j+DU+2ipRPl4TSz5HaU0+Xi86Pp20MD7eSB8+clYoPnflLz6Yoy4+RulAPgURPT7BaUE+U2tDPpkLRD68HTs+sIE/PgqvMT6zbkM+0royPuQ3Lj6yxiI+k6UhPq61DD4smis+gjVXPmD/Tj7IFUA+6qI2Ph/pOj6evyc+EJwsPiNPOD7iOVM+Eko1Pvb8MT45Mws+2mnFPd/coz2Gx6I95D7DPZQ6Jj53NTI+SSU/PpNNPj4Ljis+Z58uPgrmPD6P9DY+V7goPoceGT4kdTk+zF03PoQEJj6kmis+BlArPskXNz582zg+HsRMPhOgQD4lVyo+DoQ4PnFFSj5obRY+uZstPsUoPz6Gg0I+Jc87PsSYRD4GpDE+EfIqPgzzRT59Sio+IzgXPsmdFz5AXio+z3glPuxaHT4qcRQ+9LUUPhStIz5xQzQ+dSFQPqOMRj70jVA+TGo2PqW4MT4FDkQ+buUnPj7WMD6ZozE+W0o6PkfQLT68Bzw++XxNPvBnOj4GoBc+u5EjPpYDIz6q1y8+vSklPv+bKj6sa2c+DXWKPj9JZz6nIz8+nuxXPowbTz7OuDw+6U0mPqKJMj5b3zY+uy85PgQtLT6o/CQ+wq0qPlavPD53hSA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/HbuPPX5aYj5D+6U+BSiRPm3Owj5wRVk+KjNBPrqeWT5btHA+lyeGPie7aj7BFz4+beEuPtMART7i4xU+ytMSPm2u8j1D8zA+/ZdcPp7ETD7z5T8+BA0oPi5uSj5hbik+uDcnPoSrIz6h2gw+7PlYPnUUOD5ANQU+QSA2Pgg3ET5zcRg+w7vlPYW/wD3B98U9tNPDPRKCjT6W9nI+B4ZPPrq4cj5piYo+t7WGPhN/Sz4htiQ+4nsuPgMpCz4w9P89t60JPuK8Gj5RfAo+5NPfPcsa6D01WOI942PVPXAC/z3cudU997EPPv51FT6HDx8+Vb0YPqYm6D1WHco918PfPWUEzD3nPqA9g0CRPS+emz3wbps9CLCJPVyohj15x4I9CHWEPbQmgD2puHs9gACDPe2Ghj2AbYg9UlGIPZRGiD1gHoE9H++CPYZthT2m7IE9+I+APa+bgz08MoE9HwVxPROZeT16s4s96FWNPUY1hT0E5Y09rFyXPeKclT3XN5I9IMh+PYZfhz2cgIk9h0d2PZ5NTz11cWs9BVKHPbUZiT3zfpc9JuCOPcYQjj0vFqk9KIyyPZFYlz3ToIk9rD+QPfb5iT3nMYs9pXuKPWxZkD2o25E9TMOVPc/+iT33h4I9RZBsPV/LdT24eIM9QceOPVB8jj3hmpg9vQSKPeNHeT1KOYA9AwtcPYvUVj2flmU9nylqPVjwij3/g409YZuIPchejz1fmIU9nRN4PXYLez1KIlk996VdPSULaT0S9FI9aA1VPaa9WT3JoG89k4d7PXV7fj210Hg99mV5PbK1dz3KyHI9mRmDPQoDgD0Ea3I9uGxrPTsqVj0Zmlg97/5dPcdlUz1FsVI9z4RIPT3dQj1RHUk9OhpCPeDDSD0RR0g9CU9EPTRwSz0qTFU9gwdQPVK5Qz29WTo9o245PQ+uLD0sFTE9LZQ5PU2WPj1CdEU98gZZPWcvUT2Rjjg9caw3PbZsPD2NDD09cWk7PSHOPz3k5Dk9ZdRFPXKeTD1plEo94f9sPaMoyz1pZgg+mz6CPb7aAT2zgRY9tEAmPZcGLD0OXCk9rPEcPauhEj0seBk9b2EiPTLSKD2y0yg9zJI5PflGOz2+UDA9doYZPTWfFz1biRQ9eD06PZXQgj3fBPg9PA9BPoGpND6O7Cc+C44dPmTOEz5EFRE+YGcfPsybID5gEy4+5y8jPsEhID44+S4+AGdFPqctLj5uLjs+bPAgPoV7GD71tyI+I4ArPlPfHT6m2DU+B25IPo6QST75qzM+XHggPv+7Gj5z3SQ+ttIePucjJz48MDw++oc7PtyDVj4dxzY+sU4jPpMYHz4YMBw+vwEnPol+Lj53wSo+9rAwPjM7Nz6ypyw+wQIYPpV7Gz7pSxc+kashPqxUIz5ukyk+HUAlPkAwOD5o0is+iH0zPs4qOD6eZjQ+83I2PpnrMT6coy8+aRkqPmvmGD4zZhg+3PFRPghJQT74axs+VyEqPjmmTT4PrHA+J/JDPuNTPT5Ueh4+5yUAPqDsED4U+SQ+Vik8PrMlLz7WEzU+txw2Ph10Nz5JNys+3WQ2PmRGOj6tPjQ+1VU0PjcENj69fCY+nBU1PtE2Nz6r2UQ+qgA4PuqYNj68yzM+4kwrPqlgNz5OuTg+pGs6PpXSLz6uxTU+srhHPlmKPT6FC0I++jpAPuLLNj4MTkQ+KYpCPsXuOT6fh0A+vO1KPiDeLz6ErDQ+k/g4PnALMj5YZi0+8g48Ps0tTD69Xkk+Lus3PsHnMD5yEDI+FSgvPqHgMz7w4jc+uX41PtLMHz6tjzA+t0QoPjyhNT7dBhw+IbxIPjeIVT539U8+wBklPl88ID7ZeTM+E/wePv9uLT4VHj4+YjAZPl+DGT68DhI+sz0FPreA7T1zKiE+dvEmPsyIPj4Xz00+CQI0PjQJOT4dpDs+UrEpPlkrIz4H4iM+IdwuPgDYHT5aKwc+uakdPs5kJD4VXyc+VuopPqMeIj6I+D4+69syPrnZEz7b8B0+iQgsPgZtPD4jNzQ+v90UPgs/Nj6LnTg+7hUcPuwLHj4n3iY+j3RHPvDNPD5nWUA+Lj8hPlcgFT4RoxQ+HZERPmvaKD5++h4+RnsnPoD7Kj7PK0M+JiEvPqAfMj731zU+zEwoPtcpQD7PKjo+fTYnPjdjMT49QzY+bk86PrLvMD4UYSw+RElMPnooOj62Bg4+sQwiPi+PQD4NoD0+2LEvPihhLj5o/Tg+VLNBPkSzQD4KBjM+EmBbPoEpRT7mgEo+autGPp5MOz4GXEI+JEg+PkgFMj4nOyw+/80cPiZEPD4OrUw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/ckIbPUFzDz2Eid88MxPuPB+8BT3peQM9Hp0bPQGFIj10WAw9/1r6PM2l+zzF0DI98rk9PZMXMz0ANUE93C9PPRMHTT2gImA9ITFFPZSVLz2f2lQ9lythPaYUWj1kd289RkdJPYyGdD1uLJU9UQhbPcxrTD2IPWE9Ft+QPe8brT25dp09b2mKPdklkD378Xw9speSPeCBqD29A44902N6PXMohj0MD3k9Qo91PTp6kD0jFHM9NpxoPc1cdT2E0Ik95bObPRc/rD1JPaU9FsqqPX/KrT25ZaI9ub+tPZk5wD0Iotw90vcJPr6PHz7c3DU+/TkXPrqXAj405ws+qqoPPtrACD6tBM09hW3KPekM0z2KQew9jw6yPWCRGz5l3ko+bO0yPmv8Yz6anAw+2J8FPv0rET57ASA+I6guPkQ4GT6xXQE+zev1Pb3kAj4AjNo9DyvaPf71vj14zfc9kbMSPjen+z078eo9UbrfPbS6Bj60Luo9oenXPURf1z3Zrsk9OyT/PZ1W5j04uso9Ea7zPegZ4D0lteE9MzG0PfMBnj3dd6E9nfqmPXoD0z2X5No9i/LSPd3RzD2Po9I908vLPXfFwD2QarE920i4Pf+ltT2sUqU9wwyjPQDmnT3cGpY9TmmXPTHNnT28daQ9QZaXPfh3qT2PZqs93gGjPXXYmz1w1KY9S9CYPZS4jD2DMoE96OVvPZfacD0Mu349bBCLPWPKoz09wbE9euibPf7kij3xz5A9eXWPPcLWhD0cYoA9zIKHPWxDjT2Ez4g9A62DPTcmdT1Mf3E9BCZsPfPLbT1TAXI9YOSBPfZgiz2Y5I49WjKLPVCjiD1bsYs9rtmPPfHVkj13HJI90ESIPYk/hD0iYHA9hspsPf2wYD0WA1I9fwRhPVUDfz2KLoc93H6IPWOylj2jdow9TSuNPTZ0nT37iJ49dpWRPRW4ej1H14g9o1SRPf3hmj09FqU9vMOXPWtrgz0CNWs96MFvPTH1fD2DzoY9BNOBPenFez0BIo89C6OTPWtPhj0kF4I9KXFpPWNJbT3MgWA9eiBpPccUbT2PGoI9IIaEPVC2hj0fn4U9U76LPcqJfj1VS3o9EoRYPUYjWz12WXQ9jgdtPf0Paz0otXE9KkpmPbE5eT0KpH89cBt1PUdqaz0GjmE9xv5bPQoNcD3pW4A9dAKKPZ2ogj2dHG89whxlPQrkYD1u5UI97xxHPXT5Rz2pPTw9D/U+PfS9QD0GdkE9dh5APe1kSj1SJEM9nB5CPTkVUj0vK1A9Kv8/PZjuPD3JfkA9dQwyPb4SPD2BAz49fpNIPZOcVD1NPFM9BuhJPYDUPT3N7Ck9vaI1PUuDPj0VhEg9XedDPRVlOz0d70I93ZRIPWy3Nj1C+TM9dRNKPf29oj0jvrw9LuBpPWkfNT1pey49GWAtPUSpMT1U2Cw9aJMnPWEVGz2fFCw9XyoyPa6iLz0s/Cc9OzcmPaQmIT3pVRc9V/MVPTViHD19Fws9QHAQPYnXOz0uiH49sIFVPifQbT5Kmhs+OxcWPh+WDz4BahI+u5gkPkdvHz6J+C0+AQQlPgm5JD7Zryg+QQUjPuDGZz7uNG4+VtAyPgfDJD5D4yM+GycwPm0eRD4bV1A+PONmPlFNXT6UHjo+W+kvPsegLT7a5SQ+aoUkPuOdIz4OEE8+tgqYPpnBYT6xIzQ+tH4jPpM+Ij6dCh8+MokwPig5Ij5kFxo+FdA0ProyLj7pkig+nPEuPiHSNT4Vsis+2W04PshcMD68Ois++LY2PsQmMT6V0EA+DJ5dPlHnSz4DYDY+ze4sPrYgJT4qRzw+VwJEPhZFKz7dkTQ+73FFPjWyHj7RqEo+RJknPntuHz7zoVA+St1bPnrXOT5Bg5c9oMxzPfb6Az6NVzE+0DMgPhZpLT4MBUU+8Qc4PjMsJz4G+h0+iW01Pg71PT6X+TQ+QUc1Pgm8OT64jzs+99E1PhdAOD6x4DA+Y+M6PjBiOz6aQjc+IpUzPqIPOT7BRzM+S/o4PrqLPT6vazc+6PY9PnClSz4+MlE+oro6PpSwQD7qLT0+YUw4PqQwVD6g9VY+W/g/PlimND6OTiw+3eg8Ppf5Oz70Szg+TIU9PvA6TD4JLT0+Nu05PoDqQD7qUkM+v1o7Pip8Pj77rzE+k/8nPpxxHz4ZDRE+zMwqPkRhVz5sCjI+zr5DPrKmVD4XlTo+WO4QPuiVBT4HAC8+QkEfPtwEID5dRhA+wjQWPs3/AD4nlwU+ZYAHPuiN+z2t8+Y9QwkGPuzHQD6oBEw+EfIcPlmYET5+v0Q+uBs0PozMGD67kEw+0ZFNPvxgKD5YnB4+S8o3PjB9QT56oC0+0hQjPvlzUD6BrEI+8x4jPmnfIT5mdCA+3FMcPtBEMz6dqD4+tM0/PmYfMj4MAjM+v2EiPu0dSD6c1jA+RC88PldNOj5aMDM+NNYmPiSxJj6VZCg+6YAmPusJLT7jUxs+7js1PuwCOD4cTyQ+dI5APhFnOz7Cejc+bksjPmGLLD4biTE+/d4wPrI5LD68xBc+urksPqdtOD4Oezc+B6s/PjLvMz4w5Ck+v2w2PssbNz6+dkM+uiwaPnJ+FD7/iFA+N3BCPnA+Hj7cnCo+IlE9Pgl9QT5xpWw+225BPqJsOj4JxEE+PjU6PnPAND4VU00+RvcrPhMvRD77f64+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/x3ZFPj3RGD5Fk8o9QHbbPcuRwj0qRqs9KGGBPcJBWT2T+4I91rqUPUBVjD2q8Ig9Ad15PYh5Yj0/glM9iUlNPbJpYD32lmo92hKmPRo4jz2snoQ9zLM+PRZAWD0EijY9/vpTPVkhaj0ZEUc9/sk2PQSSMD18Sh09jKEXPShLDT3ojfA8yf1ePUSbZj2NMIc9iBt+Pa1HVj3BZkc9ZqxEPeOHTj1m2iQ9O78rPSd1JD1ZuyU98tMxPX+aKD3Fy/c8/aj1PERyLT3TLzc9E200PW6UOz0Diwk9Ah8PPcJ8Az3wYOc8qzoOPe15Az2tcw49TaMRPfSzDj36AwI9r6PaPPzYAj1+QgI9OgsKPdgbAz1/ztM8tPrYPDp35zyvauI8VGr/POJ4DD3vZwE98WoDPf5PDj02oiU9dgkkPSfQKj0hrTQ9rTJIPSt+QT3pD0U90oRNPSnKTj0MVVk9IHRcPVcpRj048089wxNKPfCzXj0TG3I93fdLPRErWD02hmM9y4CKPVWOrz1YuY09PlVtPXDTcz3NPn89uzaGPY7RkD30jok9UoV8PWUMfz3S5Hs9fyVwPQ4DeT0MtX09BxVzPbT2dz1iV4Q93T2MPbHJkT3U55Q9IQCqPf6gpj1r5JU9wpSuPZEdxD2HBLI9bHyvPfacvj3fYLs9qzHHPVTEvD1dn7g979G4PVe5qD3PZJs9vBywPQZ4xj3nRs49uiGpPWRZlz29s5g99qWWPUP7iz3jAJI9U5WXPekkoT3Onqw9+KKtPRcXoj36c5k91WyVPVAHkT0yypI9vJiYPbx7mj2zGok9jaiSPbPlkD1CIYs9BMKUPfuTqD2OWqw9VMOUPamIiz2n7pc9q6mbPecjnT1vmqw9lOm1PQxdwD1JDL893lWcPWjtlz3BX5o9R4OcPRYrqD2WFKE9frahPTOmqz3gpbI92eGtPbuamj3J65Q9unmVPVHSlT3uaoo96KiaPUZ8kD1RiY89T/idPcGImj2ac5E9XWeKPfozkz2SEZc9RyabPY2akz0Zm5c9jHiIPTsJhD1He209X8mDPbh1iT1yCYg9ptqYPcMlqz0SXbE96qW2PdJjoj2JjZI9DKuOPRaFhD1PGHg9hbKKPVZViz3aLZE9sRSHPYiIhj0AN3I9yTNkPaj4cj2hfoo97n6MPTIVjz36VYo9jX6APWbohj2d/4o9wFCbPZP5mT2ktoA9m7BxPd9vaD0w7Ws9NuhyPblQgz3UA4E9aHmBPTBOij3o5Iw9G7SOPUuvlz1D5IU9GAGGPayZjT1Cd4Q9Wat4PY01cz2OwnQ9Zf2BPU1niz3Xmos9EMxyPdqGYT2EI2A9HFdpPYQuiT1N8409dguRPUt5iD3RVXI9GRBrPf2saz2TGGo9doF7PYqziD3BFI49AviMPZ46iz1iTYw9j16KPYCadj09fnI9EjaIPQ/3YT0W1Fo9Mn5wPfepgT2pCH09OCNWPRrzSj1ty2A9fGlpPWodcz14RnA9Db5dPQCTXT2+6HE9egGFPS0AhT0rvnI9f1hkPUGgTz1xMlI9IfVBPcZOTD2760I9B/FBPYmCVT0fvFM9gjdQPYd+UT0MUVI9l0lgPQzQYT0vUU09p9xFPRWtSD3nxTY9KWs7PU9DRD1ZhEQ96WI7PdMdPz0MDzs907s5PSfwJD0C0CA97AgxPXawQD2UqTI9Fa42PdmiOz0G10Y9RVQ7PQrxOT3UYTw9IxNCPdYLOz0xMkk9GntQPfaOSz21ojk9eVs2PepEQD2OvUM9m2Y1PVToMj0+aCM9tTQqPaQzLz2razA9WiNbPSNKRD1Mmh49I/0vPWlbNz26zyw9boorPYtLRD1tSiE9pr03PQEAVj3hrm89gGM+PuaiOj5Kmh4+j5MbPlFuFz6OuxQ+sJwjPuCsJz6JVy0+MswnPpwAKj4t6Sw+YpYjPlQcWj5vAEw+rOQ9Pt4yMT7mGC4+pMFhPvCwgj6HYmA+ydRzPs7nNj59ayg+4MpCPheZMD6s4C0+lTUuPgIHIj7l8EA+cZSBPv5ogz76UEM+hZsdPqm0Ij5GkSg+hXo9PppzRD4VODY+PqovPiNaFz74kSA+KnU6Pv3NNz7AGys+YjIsPhEXKj5GoC8+fDQnPn4wHD79PiY+57pLPhhpQz4qwxs+lDUSPs14NT56Uzs+EDwrPk8CLT6NGyY+mZEoPmb9Lz5AGyY+96cVPpvxFj5DHT4+kgIsPvT6KD7soU4+NPAuPu3dHT6d7Qo+wcYTPs/gLz6sZ2A+HxMzPqYQKD5JiCg+rh4rPitBIT5Fcys+ufEuPpsFOD6l9T8+MLRRPoWxSD5blkA+dTMxPlQDMz6hbDg+/eozPh4oOD5a0i8++roqPtSXMj47Wz4+PuVKPrBwSj5gkD4+oxwtPkiaLj5/EDQ+fLMuPp6GMD4gCz8+zwA0PjqZVj7Fm0c+2hU2PnWbLj72IyY+kgcpPjewKD4eKCw+tbkrPkvXKj400yc+SrosPlitQj56Zl8+FUpHPs2QKT7pxSs+ejYdPqEWLj5rMTw+5NdMPlCoPD4m+jE+TPA1PicIJT7BKTg+Kh8rPkWWID6FdDI+WXcdPjVS7j3AUxQ+njkaPk4XBz6mvcA9doiiPTETEj5Y4zs+IQ42PgsoMT46wzw+nDM4PrRCQT4ZAE0+ou1JPnuNNT4Y1SM+duxBPi0IMT5ifyw+vFQwPqxEQj6nojU+Uhc0Ps9sRT72pUg+fk1QPtpFRj4wLUg+RHE4PpnLLj4mPVE+M1YoPjagFz60vxo+PNJgPosaTj7QGDo+Qd0pPugsKD7/8y0+S3gxPrU3Nz5SXyU+sdwdPn02Mz6sDDI+/H8xPsI6Qj5phDY+iMMvPm5NLz6zfjg+wnszPm6+Jj5QxhQ+VFEjPhcrMD7VMzQ+m3w0PvVoOj5qsi8+jTc0PvGlNT7key4+gwgnPuUqIz5+0kk+pM9OPieaNT57JzE+lagwPnK8OD5oKzc+uqE8PtIkST7hbUo+NGVEPn3gNT4CazU+k+MhPv2aDD6dhDs+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8Qjik+fB4sPkwjJz5Veho+530IPqhSBT5HySE+jJQdPiD9Cj6Qve896WvsPcoo4j2NsLU94rvQPcQ27T1YlBU+rmEPPpn7Fz7rvBg+vin0PYpi4D0NQ9Y9gzXOPbjE0z1indI9eKS8PdNGoj0/k509VuqSPdq/hj2HAvA9704DPnfADz5CngY+cK/BPbqz2D0m7sM9rKTPPXJ90T3p3qE9NcugPTZUnD2/rHw9xY16PSULij25xK09K5jUPdUppT0YQbs9CqrBPRc3pT0IrKg9HB2yPfdvpD3MZHI9VIRXPQNJVz0kfnM94Fg/PdWERz2MsrA9rqGaPaRBkD0THso9sXyrPaLmjj13mIc9AgN0PdCYbz0eY2Q9XJZ+PfDgjj2xinU956lWPRXbXz11W2U9bcyNPQM6jz0uc509ZuuQPTgzfD3t5D49RlpPPWeIhT3kBnA9C7hgPRFZTD17WFU9EjdXPaTIPT0JVlQ9dXmKPQGojT1bCoI9xs2EPZKxXT3LzVM97247PdIvKj0pbTU9saM5PaJmOj3bSDU9RwpEPdLxQD0Gj0c9k/A0PSm4Iz2g6yc9Zpo2PeBEGz14ZRM9GQAJPYPlCT3scwo9Z8cTPZOzGz31nws9dWsTPVVnDz2y2Qc9JuT8PJGv3DxMxME8Lnz2PENA9zw4z9g8s3TcPCDN4TyxPQU9EdL9PGTT1TwN29w8ZST3PJ8q6DzMEOA8TuLYPOtr4Dw14Ng8LVzNPAw90Dwfv9E8NnjNPFaq1zwr9sk8EUHPPIH14DyPltE8n+fZPPaz/zyLrgM9vZ7SPBJWwjz7Ycg8vebXPE/y3Dy53Pg8ghf6PAl/8Dyu4Ms8IHvQPNy26jyMnvA8zWoHPTMt8Twp+eo8IHYHPRNgEz1BSQ89tRgSPcCAFz21mzo9eSNLPfMuNz31IzE9mxQ4PckkOz0K2Tw9Qzk/PYeaQT2s30U9P9VEPaF5VD2lPmw9VudsPUeobT0HxH49Q59+PWZmZT3XqWY9tAV2PbO8gT0QJ3U9taOGPWPMiz2pVoU9UttwPX7faD1QoXk9P62HPcVvdD18tIA9ejB8Pbj3gj3/c3k9SU6DPTvxhz0tB409kqGZPQRLpj0O5Ik9gPqMPZdDqT2yO609tUecPSp1oz2Yg6Y9NUqyPWc+tz0SN709Pku+Pb07pj36tJY9Ku+uPRETuD2RUa49M82jPZM8qT1Zi7E92aGyPabSnz0HLpg9ml6kPYdLpz1BwZs9+9+fPWIMlT37F509NaCYPTagkT0yYZw9TSyUPTlpiT1rY4I9Vzd9Pd7Sfj1hU4Q95PSJPWF0kz3gCpw9782aPdshkz3TUaE9Idq4Pdsfqj10S689Tnq5Pe9TuD3WWa89w+OXPVVhkD15AJ497JCjPUYfrj1Dr649bJenPYjtpT2PLKE9p2CmPTr1pz0rlJw9RQqbPXQXkz1Ym489BHmWPbIqkj0rhZk96lWXPet7pj3InKE9LpaePaHipD06Ep49RimqPSsJrD3usas9PEOaPav1kj3bDJo9oPmnPSX7pT3ZN589tVurPWR7qj18K6I9K4ijPQMCkz0PQIQ93ZuFPX7RiT0KKos9IESTPSkVoD1lRJg92fegPYozkz0+t3M9xxR+Pa9xhT0PKIY9Gul+PT71gz0GMZE9noaYPTCclj30X6o9eqyyPRb2pD2KFn09Ptx/PecdiT1EWII9IDOCPeJEhD0yiIU9YiGKPRa0gz1bM4Y9McGOPZ0JiT15LIY9x6SDPQvrgD387XQ9Smh3PdThgz2hA389n317PUPLiz1IbZo9RHmUPf4ziD20S309kSSAPWsrij1Rho09xiGGPUw8bz383289NON+PWCKgj2Ws4k9xTWYPWhPmT0/9Zc9H9KkPTKRpD3jRZU9IoGCPff6fD3GlX89VfxjPXMWWD1h0GM9VmxfPTggYD38ZFw9DxVgPXnqcj3vSoU9hB6LPbk8iz1d2IE9lvF2PQ7igD2zboQ9mgOIPQJBfz1xcWA9IKNKPdLXVD1wHFg9lD1NPfjQTz1/4Ec9XsNaPaefXj1Tv1U9n2NqPbUVdT2YsF89TnlYPWwlRT3xjT493s1OPRYlXj0dFWA9J8RRPR/GTT33H0M9l/40PXwALD0fuyU9M8AgPaN2KT3eqyE9p/MlPZ/aNT0hSTw9hvU1PSCRNj3L0jo94G1GPUV6Rz2XcUA9FdNDPSEETD2wLEk9I9lRPVLRSz1qBTc9mywyPer/Kz3pKSI9IcgnPaOaLD2AoyQ93mAhPdwNIz2N8SY9aTkxPf71Mz3y7C09yEBTPVZLZT0u5j09gfo3PW9vOT0cnxg9CQ4XPXv+Sj27U509t4kpPjLiED5DlyI+Z1ocPl2LGT4FXho+LOMaPh4DJz6t9zw+Zd1gPu2FZD4DKm0+axQ8PgAZJT6HES4+jYM8PsrtKT6uIWA+5yxxPrKzQz7rRx8++6AmPu0VMT5+OzA+qkwxPv89HD48Ox8+8uUTPh1FKT6BxYY+hfqTPmoQgz62r2E+Xac+PvyBLD6XoiA+S6JSPl1Hdz6xDn4+nwI4Pt5sKT4NsyQ+MWEuPoKiNj4zQS0+6FEdPhLzJj7L2ys+AQslPkW2JT6C+iU+mZMrPvF9GD621gA+SDAgPg0eOj6u+jM+Tt8yPiaSMz4TpSQ+JWEqPpFgHz7usyY+Go0SPuqCKj57SzQ+F7s5PvAvKz7iPU0+q+pHPmxnMj6lCRY+DacVPgVhIj7DCGk+LupKPs9DHz4OzSI+QukiPnuYHT5H4CU+87EsPkKZJT64JyU+SMM4PiFbST6O9zs+edkxPkFWGz4kATA+QHg9Pop3Pz5F2y4+2hs4PvthOT4/ijo+Wb0zPvz+Kz7H5Dk+BDgyPvFpMz69li0+VZIoPtWeND63ETE+n9MqPgeiSz4zTjg+LdFDPgR1SD7f4Cc+fTccPkLUJD5szB8+4SosPkCmKz6PXik+1J81PsmxND7DNTA+jKQwPmskVT7H3lI+bypAPqH1Kj7JFiQ+HTlHPmJbRD4kNTM+fbhCPp+HJD6v4TY+ckInPgkaHT5DOjE+qzQePgQTAT7XGR8+L5A1Pv6CXj5pSyo+AqodPo7ULT5dgTc+tV8lPj7RND5x9Tc+WnE6Pp3+Rj4KRi4+SnkbPhOLIz4KtCE+td0tPgjYHT5oEiU+W5QoPgKoND4XKxg+QWsiPjVjLD5wUC8+mJZoPlEjfj6qaW0+6whsPi/uND5dAFM+aRhDPk3VBT4tLB4+Wx00PvUEUz7Fqzk+ABkmPgvfKD5GfSw+A3cqPtZqKz5yzjI+eQsuPrKnJj58Kz0+RKk+PtICPT7ADzA+nZYwPjXNPD6B+0E+OCImPrUDHD7Bnh8+ZGUlPhx2Iz5cVCg+7fs0PuSPIj4i5hw+KoszPvCNNz4Opyk+qoMKPjfiIz5AflM+i4I5Pva1Kz7XwyQ+dv0zPjP6NT5dODM+srk5PraFST4vqWM+UMpXPpxrUT7lsj8+u4s0PtqcNz694UI+djipPVSm0D2tsfc9jlsDPrLZGz7CzRo+QicAPlaVAj4UcQE+SuLyPUNL0z2kda49fsmzPZNwrT0nH7o95B+pPe2phD2814w9aaSZPeV3iD3GQ6Q9bdm+PQqftz3HgKI9riasPfx0oj3Lsfc9HGQDPjcUAj52Muc9jovaPd9f3T1AK/w96xf9PUlk5D1sYcY9VXLLPbenzT2HqK09axm4PbVxwz3fidg93AHYPb/k2z01Mts9+uW3Pfe5vD3tesE9M82zPenEtz0vyaw98QOiPdtrmD0KgZg9pSWQPSilhz0pLpI9RPSPPRVnkz1JNpY9/M2LPULnkz37/4Y9TWCDPQS9jT1kwns9HBJ3PdqPZj1OE089+r5pPXoxZz2dwWY9C3yEPUgRbj1ToXI9e5lzPYAVez37PoU92jZ9PetDVT0eo1M9DpBLPVDZRD3FMkI97V4vPUqMKj0+ijQ9vUYvPT1GID0W8SI9SLg4PVZ1Pj3Vmjc9crUsPa0+NT2n9kc9xL5CPfebTj1vLFM92PxVPRDRaz1M9mw9bQZHPRU0Pz25QVs9fuhhPYMOUj2F80Q9hZo+Pb6IQD0/REA9vURNPexfTj1sE1k9dkw+PZ1zLD3c0CM9sh4zPWtxRj3L8jw9Mho/PZJcQT3nKzQ98gQxPbAsPz2uPzc97+VGPYeJQj13nzw9NkBBPVFNOD0d0ks9oMUYPf5AEz3HfhQ9fzsePa0vJz0NvhQ99m0fPa0ZGT38+AY9uZkGPRZr/DzFHQQ9aw4IPWEMDD1OgwI97RgHPdcfBD1fUMo8vnX8PEksBD33B+U8irPwPKN15Dwmsek8D1X8PEgi3jzbYdw8GkPFPI3m2jxWTfg8cbUAPfRkyjxU8/o8AtbsPFhp7zz8vd48X1jlPPSr+jzNLdM8lH6/PL3UxDyLZrs8DirIPI6PvTyDysQ8TlPiPBhr2zxSadY8dFbrPBRg5Txxa+48a5zfPD/uwjxrrNM8Enn8PEYO/Dy3nvQ87njhPC5f5Dz0Iuo8k30BPRshDT24WwQ9wbcLPToWDD15+Bw9KHQrPcBcJD2zWD095jJLPdJ3LT14KBs95cAoPStVHj05GSo9xo5JPctBZz0UjXg9KaVrPVaNcz00amc9doZMPWzkZj1Zv4c9ORWHPecGhz2pjoI9lBGCPTQWej2DSXI9m45fPaf7dD01Fnc9p3lwPcricj1D9nQ9m+ptPTQecz2VUXs9ftWGPYqvhz0CvIg96t6GPboclz2xZ5c9hcGMPe9zjz0KtJg9wcqcPau4mT3D2KI96zGpPbgurT3vBaM9zSSgPdVxnz2Q9qk90KC/PcHbvj2bbbg97b+6PUchxj3fyss9vvC6PUzLpT0qK6s9dQuwPZhhmz3IDY493GWVPXxUnj1Yh5Q9/KCHPSIzhj39go092BCSPUiUij1dW4Y9bc59PdH+fD18moc9dz2NPQAZmT2i+p89bfShPfSpnj3I/po9kK2uPTIlrj3gcbE9NNOuPcDSrz3YSK89BkyiPRTzmj0At589wLKxPeyHqT0QqKQ9sTqmPSrcnj2du5Q94d+RPardjz08gZU9DGOXPWGRhz2vhII9WWWPPffJmT1sJZk95rykPfD6rD3Hlag9D/KWPdTQnT3bZaM90n2lPZIfmz3BM549AdKYPXBgmz293p09VlOfPRi7kz0nZZs9U9OlPbYrnT1RD589uDKPPW0lhz0sKY09ziSHPdy5hT2LoIk9Z2mSPT45lT0+fqg9FOinPYpGnD1BYZY9sOaOPRJzgz0mgYE9U7Z7PeBCiD2NQJY9WKiEPf3ygD09j3s9FoqVPa6QiT2IWXs9kL+IPUx2hz2HhYE9YRiGPe8VgT11KmI9kSxnPeMrgD2nyIo93H2LPXi/ij15HHY9zx5vPXzzdj3DtIY9MRuUPQ55jD2Q/YQ9XX6KPW5rnT1qh5M9lgiIPZb2kD12coc9qKyCPd23bz18W149dshlPdYfbj17yYU9ua6TPffBlD1VMJY9LleuPT0YyD1EdKo9aIedPfahmT3KUY49wHZ+Pcv5dT3pOHA9qWZvPUhUaT34i2w9sjZtPc0Eaz0j0nA925+FPYmEiD2PCYY9dLCJPVW7gj3kxn49QNBxPT6rez1xJGo9tMNgPTk/VT2FQWE9V/tcPUWBTD08gj494ctKPdSLVz3qOVc9ADRuPaf7ZT3DVGs971VlPanvYT1AXU49D3M1PcimJD2BBzI982ZUPc/eVj3dD1w9KVRmPRQvVj1B4DM97lwuPQePOT387zE9xAEfPSh2Iz20YyY9xTEqPWXxMj3IUUA9mFxGPU8fUj285Us9fsJRPRTkRj2Kvk09dGFBPc1HMD2SzT89bi5LPed9TD17jVQ9Xe01PTFlKz06bSI9Tl8UPR91FT0Gpxk9dEkePU2lHD1BFC89trgwPRIaMD3wZzs9coo4PSpQUD1TEF497GBbPeL9ZT1D6VQ9Wm02PYr0dj05res9k0MgPhFJFz5UcB0+tSQUPhkhFT4tiRk+yk0kPtV3Kj5/BEc+g8FyPuCBaj5drFQ+bY48PujjMz6EKi8+nwMePkILHj5l/ig+koguPi9uLT5aJyM+31MbPnmyDT4ERQU+vtYVPty6Ij7dciM+Ea4nPtB0NT6aAYU+ZvCKPvQRRD4GGUc+FigsPt4/Ij6yPDE+WB49PnZ+cz6wQVM+GCIwPtzMND4dlEQ+COs9Ph//Lj6CGSI+vugoPlxLKT6mSio+DBs2Psi3OD4znCY+QgY+Po+ZID5FnhA+nFw0Prt+Lz4d8x0+JXM7PvcpRD6ZVDI+yCUyPqbELT6nJD8+SOEzPsWMOz41gjc+gz8jPsjGHz5Azig+cEYkPm8hLj5AVyo+QogjPgDGKz5x3z4+FC9APpbxQz7y8zA+75AiPlDAAz6T3FU+XJg/PmzlID5oXyY+N6c3Pk0xQD5fUDg+wd0wPvYTGz6tvxo+HHw3PifQUz5v7UI+xQ9NPh7jUT6oDjs+cDcxPo3nQz6hFDc+OOU1PiP5Qj7FaD4+ypkrPqzwKT6Mnyo+T6ExPvDcQz7yVjg+RypOPucVRz7yjjY+3w8lPsdPMT6nxCY+czAhPkuYKT6nmC0+eCFEPmjCUj4QjTg+mrQwPrOwMT7t8C0+JvBDPmXqPj5hhzA+VXc4PqyMRj512C0+joM6PlRJKD4NLjg+H/cpPtFINT4sPis+Sj1QPmyPLT7ojC0+ukc8Pvj+MD4K/CM+RxsxPh+OLD4l0CU+DI8XPiY0Oz7Y+S8+74w0PuUERD5rODU+cToxPiOBMz7HGS4+NRApPgdpHD6vfBQ+pPITPkjGNz5JxCk+CLgjPiJ6IT7wuBQ+BotsPqdccj4nJkY+CThTPpKwOz4qakY+U3hCPokpHj5ZQCg+pjwxPnUaOj7fyDM+/x4tPm0uKT6iMzA+n5cmPiN4JD6bLUE+EedQPgb9Kz6psTc+2thNPowNVj7NF0E+KHlBPkPaQj6fCzo+TdA6PjMrOz5Z/kY+QdU/PofuJj7TXyc+BCg1Pu5OIT40ljA+D3UrPm1yJT5NvR0++fkYPlzVFT6VMyc+5dxEPq8SKT45czY+sNMrPiMjOD6RYUE+DnMzPlxmJT7LwDw+KGJYPg6cRT7SmVA+qDY6PtrkIj6cHS8+8CKyPS8osj0X97g9ASLWPc3M3T33QOI9l3zSPbYc1D3w6MQ9QnymPS4ehD0/k4E9k+2IPeT1hz3uYJA9mFSMPdEFiz1Kuo89e8aBPSTuej2OTIw9PqGZPaIqjT2Uq4I9h/iLPdjwjz3ppqA9KCurPapErz3HMZ89UEqjPWXOoD1GdK09DROoPbyUmj2ChZo94/2oPVx/sj22GLM9T1q8PbZuuT2VI6U9Y2mWPflamT0KIKg9whGtPZQ0pz16WbI9MGmkPfqtsD23Das9hzqePdRYpT0syZs943aVPQxPjz0+nIo9pFxsPfuDWD1/el89CV1rPRoTgT2ox389qz51PVuzfz2p42U9i5ZiPcmVVj3B2Vs9Li1oPQXjZD1KaFk9SP5VPQw7XD0R4ow9y6CGPbCJbj0y6H09BT59PWNgaz2p6HA9i7pwPZkCXT1aI0c9Qh9CPU5wRD2/Jk49TkJUPYRiTT3m2FM9OgBMPVXdQz3J4Dc9nsMwPVmtQz0ydFI9cTBVPeOnXj1DIU09lp1dPfDAYD2RX0w9uAlJPdnoPT2L2kg9MMpbPcZQdT0v/2g9ZrdkPfsyRj1eWlQ96ziAPe6odz0ERFE9ZBVCPYOkMj0oqDU9lQlIPfIrUj3Jn1U9hnVXPQUWUT3agS492PY6PabOPj1IvDA9QlY+PRQjNj0R7CY9BFUzPfjgLj1woy09E/kyPYAAJT0jihw9jAEkPSp4Hz3XWyM9PTwhPRBcEz3Pcgg91Ur2PFgb9zykMws96k/7PDuy/DyfmAI9KXv9PKDc9DyEF+I8DfnCPBc3+Dz5iQA980MBPXJo6zwGauk8ij7sPPMN9zxhb+U8nZ/LPNj42zzlivk8GFgEPbBKyzyKK9A87u/VPON55DzMuc88bUnYPEOmAT1OPOY8JxC2PP+ctDypALA8qkPJPLxjxTxRvcM8WBTHPCg/wDx9CMM8EPPVPB5T4Tym+ec8YjTkPFQpzzyZDew8r4ABPbd77DxlStc8o+jvPKcmBT0HNPk82gHnPGhtBj27CAA9vk4BPTSmAD1ZFAY9rXYMPYSsFj1T1B89pkQgPR/eDD3JZAk9SmEOPfDQFT2N7Dg9ZORXPXt1Xz0Gn3Y9M/9rPTVHYT0TF2U9f/tbPbWlcj353YI9Fp97PRKHbD34mG09HYdkPQ0+VT3KQ0w9GqRPPYowYD1FY3A96DVePSiuWT1IK1k9E3FkPd8xbj3zg3c9f3eBPfImhz3Td4w9vIaCPdUDhT1aF4894SaFPRg+fT0Z94I9KBKFPUY8nT3b2aE9bNaqPap/sT25tLQ9zRy2PTmcuT1libs9bxGsPZsurz0eq7Q9KMm8Pavjyj1flcs9JDnBPatgvj30f689x3GiPYkwlT1OoZI99C+VPX+glj3NyZY9ZfSLPcSJhj3kUZI9UiSNPUHdhT0C6Yg95Y9/PUilfT3e7oU9eJ2CPSWEjT3toak9O92qPQ/Pqj0u6qc94li3PSPjpj1W4bc9BbS0PfXVrj1ykLE9rjipPXE+tj0qbbk9xFuzPUa5pz1/bqs9YoG0PdO3oT1LTJI9dKCdPVwwlT2rGpM9WbygPUYfmj2yPIU9oJKKPe5Mlz2IUZc9B0+SPXoilD1NhJc9SqGfPZ2/nD25OZc9UeilPQG9pz05XKg94c6gPSSrlD2MIZQ9nbGKPW9+kz1a1po9IzCXPePLmT1AGJ09zVeUPX03mD3J7Js9+9KRPSnHhz1cW549aXmjPeDqjj23mJc9leubPbyQkT0WlYw9TsGBPW82gD27qXg9KB90PRTYfz15YI892OeEPX6riT0ii4E94U6LPTXljj3Sdog9NpyBPfLVfz1eaIM9bYSHPeXziD3iXos9fM+LPe1ijD3GXo49SGyOPbYMkD2oP4g92c2BPb2EkT23bY89EB6UPQjHjT07QHs9/KFrPWovaT2ttH49KgSFPYKLkD1XT5s90mWXPWjajj1JMoI9mPWCPXlJiz3jjJM9kJOXPdZXjz2XM5o9ljmePSLwpT2/ho8931eOPcU8jT01h4I9gj5xPZNRcT0jQng9BT2EPYg7gT2BcX494imCPYV9eT2sl3g9x5yDPb61gT1CrIU9ecaJPRjriD12c4A935WBPZU0fT0BrGE9A8dfPU0yWT1gpk099DhDPbrfRD1pFEY9neBVPaZsZT3bDm49je51PWuyZz1ILmM9MbQ/PV+uPz2YVjk92Wo4PcazPT1LATc9J588PdNwRz3jC0Y9KC42PUIRKz3w6zo9aVBPPVebTD24cDI92+MqPRKzLj1k5j89XZMwPTtTOj22DkI9jShBPVQMNT16lUg9g7Y/PWl6Lj1S/yc9vZEuPcMLMz0BVz09vERUPSiLTT0ycD49JzQuPeACGj1jhB09vvESPY16Dj1z+BY9+88iPTWDHj13hyI9XUg4PYe1QT0QG0Q9xyU/PU6cUz0IPFQ9wkNzPbdShT28SK09r/CqPV3UGj486y4+QPMiPheaLD7iBCw+BGIhPk95FT6BRBM+vQAmPncAKj6wais+fqk2Pv6ZID4zNTo+SEc3PtiOHT5X8iM+zswcPgLjIT5cuS8+0q0sPoQIJD7rqic+EXwPPmS9Cj5AVA4+c70HPvSsJj4XxEE+6n1APmxzMD48Wys+p1ozPlOhLj7MWTs+Q0QmPuzJJT6Qsio+3go0Pn2lVz5d42M+u7ZgPvwOWj5gikA+MFFePsV8hj4ha3s+jXkyPoSbOz4U40U+dEI1PtPWNj4I7yI+S2UlPuDoFD4YTjM+zKFXPir4Tj7VVxU+K2MwPrADPz5jX1Q+Cn5DPuDYHT7xZR8+R1QnPpo4KD7iny0+1AAkPuaVPz5AlDw+YdsWPoJoGj4J5Sg+ZqYtPuASJT7RgC0+cfYyPpwSNj7mbyU+eu8RPtQ3Gz6vgGM+dqw5PuMEGz6VPh0+ydouPmBhNT4r4DM+1d0oPrNTKz6NPyA+MQ4nPpAEKz6M1Ck+u5QvPhhAPj7bOjk+8ww2Pl5VQD4nazo+TmNCPv2zQj4AoDY+p0s3Pq0LMz5aHjQ+1vI2Pq85Lz4S7io+YoA7Pvf7Sz7uw0c+KR8wPiSyJz7DyiU+9IUoPoxsIT7C/Bc+cNMxPpzgMz730y4+EB87Pn+6MD6Bnx8+PzsvPqqDQT4jWjs+U60xPu/CMD50Fy0+7cs3Ps4wMz6tuzo+NxE6PijGTD7Ubyw+T/IqPha8Iz4Wokw+KNE6Pj7SLD7I4jM+W4E8PkFTMj5TYSg+8PErPoMONj5KZCw+t6wyPuDDNj4/1jg+N9BDPmorOT7b1CQ+w/03Put1IT7Qkyk+x/cxPhJtNT7QbzI+hVUnPrJ8Kj4rTS0+WaMpPkbSJT4LQy8+oQQ8Pry6Pj7WEUA+DtpRPu/0Kj7bCyM+z14gPgDxOz77lCY+gN8gPu1HHj7iRyc+GlsuPuFDJj4ufx4+8w82PkKiVz7YXEI+u2Y7PhfPRj6NpVc+loo5PhT+Tz7RLUg+HQd1Po1TSD73ozw+zOU9PvxUOj5I3j8+QpUwPuv4Jz72cCw+4+MnPj92Kj7AFyc+gW8fPoPJIj5Fuxc+U4oKPoHFDD6mwwI+qfkiPhxHVz4JXEM+wOkrPsR1MD7pXTA+KmI+PmA2HD6HIio+Y44uPgMwLT7HMzo+z+SgPQ7opD1PeqU9j8e2Pddqwz1a0s09bgPIPQlXvj0kcak9hgGXPS/wjz2a9389WRZzPRrQij1glo49RUGdPTZgjD37yYk9gOmMPSGejj1gBYk91/GFPQAZgz3GkZI9I0efPbv8pD1V+KM9DjiUPb5liT3jOZU953uQPViJiT2pL5I9Up+aPYtBmj0yTKs9XLmvPQa1qD3mBZo93mKaPUfWhj1e9I49jxmQPaobnT3j4K09wtC6PSc4tD3thao9OyuuPdaRpD1Tn5Y98nCdPW8cmz0nmJk9ammUPRYafT1bomk9ZExuPcklhz2BQXk9QIxvPZOjZz39N349LSlxPcEYdT2nQXw9SNV8Pb/jdD1CvFo99eZSPeZlVz39G1U99LtIPRTbYz3nQW49llVaPS9KYj1UxXQ9fdN/PbHicT2FTH49dG9oPajBVD2Td1Y95alOPZfyRz1y7Es9ZS14PdYPaD00t0w90DJHPQX6TT2tt2I93tBCPXEMRT0LSGs9BgSAPbtldD0eEVA9Wlk/PcRrNT17VzQ9gVA5PbVvPD0qU1Q9qhZnPXLDYj3wLkw9eb0tPSGFUT2U64A9Hjh5PZm+VD3Wy009Hf5pPeeOcj1SwGg9/I9mPZxnVj2cMlQ94nZPPSDaTz3CHzI9KGQ3PWo1Rj10rUM90Rw5PTeKLz15NkA9oEpDPbliOz37yyo92ugZPexoCz2cCQk9c9ALPT/XHD3pdQs9p+0EPRIcAD0PuQo9NhsSPRuzCz2nOwc9t+cHPezUBD1yfwQ9TaIFPegqBT0e7wQ9PNABPU738DzAGN88IzfRPA+p1DwmF+g8l0EBPQgeEz1zOvo8ajTlPKeC4jyuQt881ebXPKEIsTzh49s8kB3xPL9uwDzjmMY8YcnRPL9l0DyGJ9Q8tabFPAc9wjzsOrU87J24PKhvvTz/CdY8WevRPFrNyDzGYv48Pe73PE+E4DzcS+I8vcjfPGfFwzyPzPw86dn0PEXG3zx3Bdk8s2PQPM0s2TzLIeE8ndvePCkm4zxjveU8oILoPASlBD30ews90wEIPU0CDD3KuA49RNIKPZs/BD1w7P08l6QHPdt1FD3Wpk49EuBlPWIhVD1m80k9lr5BPY00TD0KM1A9z9dZPaPfZT2dKFQ93K1LPc83Wz0hiVI9vrhIPWQcTD31l0Y9JrdRPetTZj008Ww9XmxoPc8nVj3UGF89Hh9tPQMAdT0DzIQ9bDuFPV8haT19h2I9eQ9uPQaWgD2j/ns9pg93PfEndj1AI349dox+PRtFhz3Zepc9LuSmPcOvnj0mO6Y99oW0Pc/ixj3Jlak9bQ6OPUfqnj0/Oqg9spqzPZJLsj2AZ549U7OlPUO8rT0RN6o9AzqfPe5Slz1+LJg9sFiWPY8Ckj1sGJk9jBKYPUEohj3BSYs9oyeDPY2Gej03XXA9egNtPTJjgz2+eo09x2GTPVB9lj0fsqM9qSyiPZNDpj2PzqQ9vSWkPRKnnD3/vKg9DDysPcPwwD2jNLw9AgG1PbjKwT1+Jrg9nY+rPd06rT1UiaY9B3aaPUMvlT0FTZE9QJiZPdeznj3Jqow96amVPbIeij0MxII9faiGPUwZmD1nSqs96feTPSfGkz22tZI9YSCZPWSjlj2OvqE9eP2dPTp5mz1AbJ89tsabPZcsnz0W8JQ9qZV+PXjbhD3mHIU9tYKSPT0UoT3IuK89moenPYUDqT3yHaQ92hmfPSF9nT38oKE9tt6bPZS/oD0EKZQ9+deWPYvjjT33yG490Ex9PdmXgz3qx4c9QY2IPTrrij0YZIc9VJGBPbniij1UZYo9oLKRPZF4iz3UwII9s6qKPYg+lD3d+ZI93qqVPT13kD1+t4s9g9uSPSM4mj0BB4M9Q92APadThz3bhYA9HMZ0PTDQhT0MHXo98M5nPcFFbj12S3o9m7l+PXlofT2MbJA9MNibPXxGnz3or6U9R+GHPbyghD0lPIc9nFeMPW0Ykj3lxJg9rtWQPdEbhT2Z54g9Njx6PZkHej2uvoU9wnN3Palncz3O+XQ9m9JsPWeogj1IH5M99VmOPaHZnD1SgZI9I/eHPbn5iD2W2IA9KSh8PctLej0oqXs9+jeBPXSQgj0jEIc9O36EPWVwaT2zrnA9pfRtPbfrSD13rUI9YW5IPRtOUD0O7WI9n5N5PQ1leD0Rj189bn9pPZU1Xj051kc9L6I+PdLZQD1Bzk49ND9jPQc9WT0wlUk9DQU8PT5KNT2GuCs9CVU0PUfYSD3y1FU9ByBAPX/DPD26VDU9vdI7PcgeOz1B4TQ9KLktPZ0MLT3cOjs98zRBPV4WRz13XkU98GQkPYFUIj0LkR89hksxPXIYUD2wBmI9EZpbPauGNT1pkyU9c54lPQxiEz22cxQ91pUZPR3SGD0IUxY90e8bPYa4Ij2ZRio92pI4PR9sND3tPCs9XeYkPQbIPj3vKlE9s51qPSy5kD2dP1s98zqWPYHA2D2vHEE+ccUuPnaLKz4bYjI+S0sfPt0hHz6Yhxg+Ax4vPhncGD701w4+rUgXPpjJHj49UjY+ZHItPozkHj6bPSA+Pg0VPuafGT79UiU+l78hPj0eGz75eRY+Uj4LPgCfCT424RU+LNUSPkTDKT4GIEY+Cx4qPn7CDD70kzE++Hk5PqLGPz40KEI+6c80PvnPMD4gYzU+NiwzPjEeQD5xC2s+gLqRPri9Vj6sM1I+imOSPh/1iT5DuV0+T3g5PkSEUz7QD5A+/+J0PleWTT7hDFk+7IBJPgSoWT7ZZVU+LBNlPt29Xz5AwSs+GGsPPp0gNz7OoEM+70orPgTfKT7nvTI+9ocqPlB+IT7Kqyc+QbYvPqsbUT7Fp1k+2AQtPr9jMT5DhDs+l4gsPhwRIz637jk+cHwwPmYmLD6rcys+v0krPrRUKz7KyyE+22UoPsIzLj5+5Cg+41gpPsKKIj5j/yc+YIopPrgWJD7iZzE+GCUzPn78IT6s+Bk+EQ8oPh6MKz6iny4+qUE8Pl3nPj5Xwj4+SFc9PlosPD61RT0+LwouPtxkJz7GUy4+FFU2PnXAMT7X7is+gTQiPsAxKD6/0Ec+gXQ7Pv7CKz5iZC8+uOM+PnH3Lj7fRik+k6wpPjaZJD4eZS4+odczPtW/ND4CPRo+p8onPrFeJT5uYSM+0aEpPsv4OD7YFUQ+ttxBPimhNj7i+io+T4hNPlioVD4S0Dw+McImPhwEMD4bMEc+wr02PsGhJD6t/TI+nrwjPoZLIj6qUzI+3OkvPqC3Lz4b5DM+Kq1RPoncWj45X1I+41dSPtYzRT7hHEg+NAFDPmzzOj6bqkA+A+RHPpnxPT5FLEU+Up5IPk2mRD5jj0Y+ud86PoWROz4QgDk+ky05PhXfNz673j8+4GJJPoGtMj5ZgBM+b58xPqiISz75w0Y+keY9Ph5OOj4DES4+j1ssPizoPD53NkM+R9sqPv02QD5BLTw+rLFLPgNhUj5BrkE+CEk4PrxpTj5J8TI+gVxEPoUYQz6gp0E+MShMPrjOMD67ziA+BI0dPvpiFD4HTBU+G/AgPl4NIj4y3SU+JaUhPvXjGz6TshM+GkofPnuWFD4n/Rk+LE8vPj1mPD7AayU+lVlSPsgSRz5QMhc+wc9jPobgMz4eKik+lVQhPsEALD6gOyQ+epObPXx9pj3yFLc9l96/PZfV0D12Lc09YmDIPZrPxz1eKJ4991yEPU6LdT2vZXs91PSJPSjJjz3MDJE9/2uZPRs6hz1UJI09J7qWPb/0jT35bH49SYmKPUvgoj1aPaA95EOcPYJOlj2hsJI9dzOJPfulej239aE9/I6nPb6zlD1REJc9lRKaPexFlz1PMKA9LlSiPbdGkD1kLXE9Ge1xPSYziD0PzY49ueWYPc/uqD29t609HW2dPdtipD0ISKs9e4WmPYnpnj1OGZo9ltSePTxmqz2BILM94vmUPUYUgj1LLGw9djN3PZbifz3hq4s9L8WMPQUEhz0y5YQ90TqEPVQqfT2vp3Y977poPTwIcz0dl2w9fMFVPd3sSz1dTE89cNxlPbZBZT3VjWk9oQxhPaaJdz24jmo9d3eAPccxiD0xs4A9E65dPW8cTj1geWM9UoliPVJxaj2whXM97C12PWhFZj3mG1w9UKhSPdsJSj1QoEM9g6o7PWLjWz0DR2w9NudqPZJOTj1Zeyk9oFouPXjJMT2S0k49VV5MPeRaXD1EXl09uuxaPeBsWj1mMkY9e6xLPdntgT3ReHY9m8BiPeW2YD1y/Gc9PcJxPTVbZD2oClc9JblNPXSuaj11RVk9mb09PQMhSj2fjkA9p/RiPXChVT27SDc9nSUyPbNSOD0iejI91uYnPXl6Jz2Np0E9Nb41PR+mGT1gmwg9J4oPPYH9Aj1XJvs8Rq8CPVN18jwel/88OggHPe3I/Dy9SPE83b7ePLEg3TyrXQo98u8IPZT5Bj37CwA9dqkRPQ+p9zze49Q8Tv/QPLpt2zwmB+o8PvncPAsd3jyFlew8dhnePMis5jyc+gM9XOrlPLd/uDyZ2cA8x+rJPJjhyTweZMU8h9nkPJaU5DxkosY8bQ/PPLKp3Twz/Mc8rOK5PHQGvjynYdY8B8zbPBSJ5jzS4Nk8eZjmPIjj/DxD6vM8T2oHPW327zzN3OY8eAb3PPVZ2TyIF9g8WUXdPBzf1jy5adc8eYziPCRi+jzGYxM9qfUhPTfoDT1BSAo9eBMHPUwDCz3M8wo9nm8DPRoq/zyd5gg9qNQePW7eFj0xqUo9aE89PaLrNj1T30Y9bD5NPRM0Uj3JKWY920pXPa0JQz27MTI9HEgmPXIqMD3Kqi49k2g0PSeHPD2EokA9qxhZPaKdaD1emV89HENZPQAAaD1b1XI96c1rPcKJZz0rumQ9belYPSJjUT32h1Q9gAtyPeK8jT3FpH49tyZ1PSukfT1yzXo9+mR3PR7Lgz0i05Y9hMeUPQhYnj1GMp099SGlPXFYuj00yqM9YSSFPc12oz25j6k9wzG8Pdhioz3+qJM9V0qiPd/Yoz3Pgps9+mKgPVu5rz3f7ao9ONacPRP3lz3/yZs9zG+ZPSKyjj0N2I49EJaJPZFoeD3Zy4c9RIyPPbeqmT3i35o9LL2VPTOLlz1gmJo9Cb6aPSk9nz1teKE9OPSzPWYcsT1TLq49ZC65PdgsvT36sro9e62wPX3FqT3vlak9nxmhPcFumj29gJc9J4mNPcfHgz0Bc4c9w/eMPaDwiz0ha4Y9TyyJPXQVgz0OaII9QJ+FPTpcjD2dmYI9DW+HPa5ilz0crZM9S+2NPR1ijD0c8ZM9PEqPPY+MkD17kZM9UNOcPSfGlz3UmZQ9VrqOPSDRjz0uM5Q9vlKePYi6mT32R5I9fsOWPXqsmD0sx589KG+wPcK9qT3NtKw9Ml2xPTQGrT0MrpI9GYOHPY6HiD0nVJI9PgiRPcm2hz01/Xo9JwpxPaG7eT23aIQ9lcmIPTdyeT37gog9LxWQPfddjz01e4I97gx7PbN8gD1zaYU9KTKUPf2CkD0CVX09VP98PeHobT2xVGs9M8BtPVebcz0hY4E98ehuPV/TXD2jPFc9J2BkPX2Cfj04C4I9yKqIPewyhj2bLXs9yJJ6Pb2LeD2zfnk97rx6PV5/iz0LJJQ9BVebPd7Zlj3MR4Q9QbRwPRyChj3ZNYs9kCiAPb2cbz2XyIM90EqCPeQRfj2Ms4E91SeFPT6hlD1l25k94zWTPVHqlD1+KIk9fTGFPeUlhD0LPog9AtOHPdrDgD3oc4A9FCuHPesSgT1LqXE9Z/eAPRP/gD0yMVo9gLtYPWHCWD3LQlU96cJPPTBnUz3xZlo9IMprPbUJVT3BM0c9dUU0PYPLPj0lPUU9IdpOPWu0Xz0nHXQ9Z5d4PcmITj2uCzg9RuonPYXPJz1L8ic9G7otPWcrOj0o/0E9nOhDPRmpVj3M1EQ9tydBPYVrOz3dUy09YpknPfcFMj1H9Uo9zRlLPVSNMj0cAkY9g1ZBPflWQT0pnj09ETBTPavfaT0mGlc96wQgPUUNGj0XByA9Te8iPRpqHz0ViCg9vKAyPXmPJT1PEig9Vrw0PVSjMj045EU9AapWPQhsSz35iSc9a85IPS0bUj2vnlY9fNydPWjxtj240YA9P21+PTJTwz0o0iU+xdYqPmIIJj5VOSA+b9cZPis2Dz6cwQ4+ETohPpOiIT4gUxQ+uFQUPm2HGz4CBy4+OdwoPpoLJT7FkyQ+k44fPs1gHT4nTiU+GAYkPou0IT4uyA8+HIUGPppgEz6McxQ+XNUXPoZWRT4s92E+ldI+PlF/PD577Ts+pn8vPvoxPz5z7kQ+e6VSPtIVez64zlE+lf8vPkZHGz6v3T4+yT5mPomlST7KXjk+oAVHPnE8Hz521io+RYc/PoZZPD4S50I+b0E1PtQ1Rj70aFI+kOBwPkgxeD4jsHg+/zpiPn/Lhj4bMkc+J8wfPiZbJz5PtjA+0wkkPp0ZKD4oQS0+XCExPuUwKz5kmjs+wXEuPlM/MD6FRUs+hyo0PhkLKz6JcTQ+Ogk0PjhHKD57CkM+Suo9Pqn0Ej6k/Bo+gyAsPpRgOj4EoyI+kRAhPnBnIT6/mDc+CmJLPvBEdT4g4FY+G088PiksJz7ILRw+jeofPruhMT6VsiA+o4kjPkULKT5kuCQ+MbckPjJEMT645EU+jog/Pqe+ND5R7S4+FaUfPu1hIj4I5CQ+VB8oPjz1MD7JpDE+h4AxPke1MT4dxDM+VuwqPiPqLD48mTA+rxQvPgpcLj75ADI+haQtPpWCND76dTA+6L0jPvIIPz5Y3Ts+AwIpPva1Fj5wFho+3KAdPjBPID7KijE+4JE8PkGWNz7Txj8+83U9PuE9SD5l6To+NsAyPovLJj7VPls+XfFEPkc6Lz7FnSs+3JAoPoDNFz5nTiM+4bYqPtjzQD5fb0s+VCEwPnbNNj4jTFA+Cr5TPgImOz6rWj0+qmA+PlnoOz6VNTk+LOg5Pt8lQT7A/j0+9ydAPnQELz5eZSc+Gt0yPg7MLj7gh0I+Rx9HPvSuOD78Tyo+IRg6PqSlLj6KTxs+AwNHPtMNaz4/wDY+FcQmPhCjMz5cgDU+SPwqPleIMD6laS4+0y81PhSgMT6HIDg+nYU8PhR1Tj5zFCc+2+EjPrUiNT6LJD4+9YZDPnW8UD42jkY+CRAzPkQLLD6V0Sg+tFsrPkgsID6VIgw+4zcsPtcBOz6rl0Y+8/wtPmX8Jj4U5hQ+RMwkPlgUKj4chzQ+FgVHPqd8WT4fHjc++CI5PmSvFD46wDg+gRJcPvjSMz4V9RY+FdkQPpceFz7zJxw+71GuPSJQrz3Dbr49A1m/PYMmwD1Fzbo99JLLPc4CzT0DCKM9QtyLPUA8gz31YYo9LzCTPfFYgz0SD4g9gNmKPUuTij0Kw4898z2JPT6ghj2ByYs9dPCQPROOmz2oso49H/OTPW0slj0YwJI9L2mFPbwvjD0yhqM9wQ+uPYVDmj0Zi589ajujPR+IpT0nj589aTGdPUxPiT0N9Hs9GxCAPXAylT2S55A9h7yZPeYdrj18/rQ9q/O0PWs6sD3c1qo9v8yjPXNoqj1/q6k9AH2jPU2Oqz3fV5w9BXaAPSS+hj2fZIo9YjeaPdaTnj1dD5497jiePUJhlT1ocY89+YiaPXXOgj3+7GA94yRgPTVtaD3VvVI9I3dMPfl0TD1ZwFc9HDtYPTpyWz3vSGI9V7KBPTCWbj0/MWA9q2VwPf0fgD2ltmc9xhRfPQYaWz1hC1U9JPprPXHxbz3yVII9mmJ5PTFXgD3O9489j0qHPXldVz3kE2A9391pPTXiZz3LMVI96k9WPU8mUD3QZzg9IbA9PQGOUD19YFM9s3JVPdrrVT2jtFM9AGJbPYlFUz0pV0Y9HX9/PXthjD2LRVw9u7pTPb4tUD0whU892OVjPVLgeD0VR3g927ZNPXdXNj1QIDQ9W2ZGPbPqTT1+W0U9r5hFPYC0NT1Prjg9VJI4PaleTD2dB0k9DpAsPQCcRz1iAVY91SsvPauxJz0iChk90DUSPfxvBj289wc9AI8HPTwTDD28LRY9Qa4QPSZCAz0nuQg9Wjf7POjX+zzvNQA9F7EKPTEz7zyAK/Q8pvAAPZdS6Txfotw834DmPBUv+jx2YvM8w8TqPAGm+Dwa1/g8rSYBPUl6DD3n/ss8qSTNPIxOuzyh08A84x3CPIhd4DySJAc9AGICPd3E9Dwvvuc8P+jZPIVQzzwe6tw8omHOPNq8yzwHzuA8oPQDPfMuAz3i0uk8Qz3vPI7FAD3g+f48Oof4PO9B/Txnmf48RLf7PCtrzjwulNY80nfpPDH+1jzgecE8TwrbPEunBz0WIA497MoRPUNMFj13Ixc9PJ8VPf4UBz2+jQM9B4cBPdOz8Dxm6t48r6DxPJR0GD3e6zU9sG5MPZh5aT2pdWY9Y9BKPRZ7Tj3RLFQ9Se1DPfaqPT0OPC49Yd4ePa9dID3xNCI94/0wPUARST0AcUY93ERmPS8pbD12+WE9IlBQPRTkZj1QXoA93ZaFPd+GcD0Hl109q9pfPewkWz0tTWA9AWKHPVksoD1Yp4o9BZ2BPfX6ZT2UG189PohjPQBQiD25q4M9SiiEPW8pkT3CeYg9RISVPfQBsj05R6A9rx+DPQQJmz0GY7Q975exPfLXoz2Xfqc9OGSvPe2MuT181aw9xqa9PVwI2z0jXdM9uL6vPVp3pD0CYqY93kqYPZk1mj129po9pquEPfXGiD1gpo89bqKRPdIekj2v65A9CkWEPV2Ujz3MS6E995+UPdOTpT1GKLc9kbaxPc+yuD0gHLQ9XPuwPaW/uT1xBrE9B8eqPfoIoT1WNro9nFKzPSUnpD0RIJ09qwWOPdGukj3mj5Q9bY6JPQOnkT2biY09KBWBPU8NhT1ujHw9u3luPUWFZD2xWGg9xXyBPXfKjD2CAY09usCQPZ3ZlT0+Npc92YaWPTxekT3F7IY9OdCXPZYDkT2xDoo9UsqLPXajkT1pQps92NqVPUfMlT3FN6Q9vJ2lPVhSpj2fBq898uuqPT3Bqj31d6Q97suXPckaiz1bMIs9HGiDPS5siD1xCY490lCMPVzvjT1UXYo9VWGKPZoKiT0xjYA9eRqOPQ+Vhz1WWIQ9BJ+JPeyRhT1oCnU9QuhfPWm+az2nKX89VaN+PTBVcj3jaXM9Po58Pesthj3tJIY9FmZ3PX21dj30zXk9mIl0PU+ldz21km89RlBnPc1Ahz0lxI09ail9PYERdj0Qn2Q9h0FtPQ7+fz0fOY49xHSSPbKfjD1iAoc9hW2FPfJabz0SwWI9hF13PciOhD3ItoM9U1uLPWVkhz0XcYc9RAmFPcETgT1dlYM9Te2GPdpwiT0RsnE9aNdwPeh0hT3e/4k9ndaFPUPyhj1zlYg9fYSJPR2XgD37jHM9/Ux3PVYscD2AUmk9KHBoPRj0eD0jyGI9XThZPXzbZT0RB3M9Qm12PRDsTT3yJj49TcdAPQbhNT3nTkU9GPZLPf1FVz2az1c9TsFcPUrEVj0N0D49fgYuPf4lJz2fkiU9iLYsPU6jLT3emCk9i+cuPYFJQT3xeEI9H88/PflfSD13gEA9TA44PY6ORj2rhj49c9w1PZLLNT2ORzE9HiYqPRM3MD1rwi895bxKPWs8XD0q7EQ9CDdGPVUpOT07Vi49HDAnPb3AIj2DASg9nA41PcFrND1ZMDo9S58+PUcQOj00hkQ9K8A/PexqND3+gT09NQ5uPW2/XT3DnzM9/R41PZPFND18rC09c+KbPWI32j26dec94ifsPQ91Bj6JqiU+UgkjPpb1HD60LhU+0ukTPnb+Dj4lMhY+0zc2PoaNJD5o+RA+N7YjPi3nFj6VkRM+82QlPpQvNz4BkCE+1QgbPhHHFz7S5Bo+TIsXPh11Ej7Pfh4+zpkRPveiEj4zhhM+QecWPpeJRj4cVUU+4t08PpWOSD6t2TQ+v44wPqccUD60S1M+0xYwPu5lGj6baR8+ehccPuzDJD7edjs+o704PnzEQj5TUnM+2ZV4PtHVLT4PUyQ+jusyPovNHz7zFjU+U5pTPgFWYj6yUUo+K79SPgwhaz4Le2w+n6JXPteiiT7BvHs+sdYuPhCqOD5nPUI+q4MqPkQYLj4dxys+JL0kPs73Kz5xVT8+Fs9GPrXLMz7wrC4+BS83PrRdNz4JUC0+5xEoPgDOPz5C2Dc+66E4PqSyLT7DHUU+T4omPrUoED7ZnRc+xkAZPkM4ED7BUjw+1MowPhDZPD6pbUI+Qio8PgCcPD4jlCo+UuovPpOeNT4S5Cc+CFI0PueNMj5LESM+WmYmPlWjLD7KlTA+1bM4PivOND4PMyk+Xx8oPmv1Kz5LQic+vA0gPkpgJz7CDSI+nWwkPmjCLD7+XC4+ANUkPpR1Pz7p70U+1zBCPt7eRD63jDU+rTUoPp2XJT4JBCE+17QdPg8SJz6ukzA+sz0yPmluIj74DB4+JHUiPpuqJT56Ai0+HKkqPr0rHz6oniE+NqYzPknXMT6zqzE+3A9HPtyBLz40LEQ+KbFLPswbPT5vHzY+gYgqPhqsJD7/6DM+qhUlPncGJz5E9Ew+mRJFPq2/SD64nUI+LAQ5PstOND4yqCs+CvIuPsYoKz79Xzc+casyPl5uLT7zKCw+FaoyPvAjHT4bUhc+bS9BPn7XHz48DSw+P/UtPsYLMj6KFjc+qsApPj99Nj54ETs+F/tCPqk6TT73M0I+L/AuPp37Oz7QTyQ+WEQePn8KHz4HaSE+hIUsPnhcLz73Ujc+NWktPqbNGz55oSg+M0onPjdqJD4jDCI+miEuPtDMKT7uDi8+R6gnPoaeIj42Hyk+mc8xPgT8HD5FtCk+zQkuPv5UJD70Bi0+gk0xPlVKRz4sqTQ+HM4fPj78Oz6TATc+YY5APrSASD7nFCU+gyUvPgQkIz6GMzo+aXw8PqzgGD7+qAg+6xQYPt+Y+z1ZGRw+YrqrPfrTtz1jnrc9Tn7MPYv6xT0gGrI9IsGpPQ8doT0x+JQ98m2PPZxcmD0CaZw9itaYPTDdgz3zP389JcKDPflAmT09j4k9y76CPQZ9iT3aRoo9OZqRPZQRij2xfZU9i1mfPSUXkz0XWYc9mwaLPXi0mj0056c9dFC5PeAVqj1eY489Od6YPUAsmT36apc9uJ2bPfyOkT0Ae4s91MKSPVKsmj2Yd5s9OKmjPXvyrj17jbQ9bdKvPUCqqj0Pqbo9GW+3PTB4qz0z+6E9p22PPT8ulj1bzpc9c4SPPebFlD130ZE9tbCdPY/2oj3tALE95IGiPR/dgz3sJ4s9vX+BPQgeTj3IEUw9GKxYPY27Zz2xqlY9BJ5WPRTNYD2p6GI9snl5PbN0cz3irFs9rndhPQWacz30BG09dqB8Pcwscz1siFk9DstVPaakaD3j0V89zj10PYgKdz2a94E9rP2DPRXlhT0u1nw95X10PVWpXT01xW09aSxoPSDdYj20W1c9gGVoPbWZTD3hK0s9XkFUPfHQWj3U7lg9/HVwPc5FhD1wgnQ993lqPScuUT2msks9PQRwPU8oXD0hKlc9KJ5fPekrVz3JAVk9v9SCPYjqcD1/unE9TN1OPXAJRT2TzV09ZbtvPf7dUT2AWkE95MFUPb4xPj3Qe0A9pns2Pd0JOz2rI0Q9IzRoPW9waD2slE89FIklPSnJGz24GyY9rTUoPVhCFj3nijY9UcMYPZT/DD3w1CA9TdQfPa/4KD1QwBg9ZC4SPf9IBT0L2f88Lh0EPRqg9TylxwE98gQPPQwfBj2XguE8FGj7PGo32jwh0tk8HAvqPMJG6Tw/sfU8O/7UPBIB2Dxs2dE8nsfVPO8hwjy49cs8hxPaPOyb4jzmqPo8fq/mPLXd7jwikOI8PxTHPM/j6DyX4vQ8NeftPKey5TxQ5/A8tJr5PHRCCD2zwQg9mj4APTiyFT0n0Q49hFnqPFNx5jx3zPM8nIH2PFSd7DxGBQU9h1jzPKgs9DwC7u48dIcCPUCPBT3Gfwc9HUMSPUKEGj0u4Co9UPYLPYPXAz1N8Q49AHb3PDpN3zy0zfY8/3sVPar3Oj3C+1Q9YKhnPTmsbj1Fumw9wndSPbifLT1kATA9uwk4PdZ4JD1koxs9C1QtPYd0LD0pMzU9i7hGPR+POj3njkg9wmFxPQGBhD3MxnE9E7lXPScsgz1yMIE9Wp1yPVp4ez0DZng90t94PfrUcj34y4s9TFuVPXo8pD10f5E9UQx6Pb63YT29R2g9GRhhPWgEiz292JY95zCUPa+HiD3fsYY9xVSePaqWyT3N0qA94qGVPWqfqz18RLE94lmrPQNmsT0FjLo9pjrZPbAN2D1nR7w9gRzRPad36D0CF9k98B62Pf3ssT1MtrU9x9KwPVXhnD0hNKU984KTPR9liD1yv4U96xqQPRDYjT3SLo09OGaaPYC3oD10z6Q99KakPQ6Srj0aeb09Yf6zPftBqD3fzKA9ny2vPUtqtD2OZLo9OB3BPdI1zT2KnL891Jm6PTk4tz0Iy6o9hpGbPfXAiD0yyX4968t6PYEGhT3AjYc9azZ6PT6aZz1u5209NiR3PR0QdT2SQXY9A92APd+Ujj07eY09kU6KPRB6iD0pEYk9w7yGPWu9gj0hlIs9fvqRPX20gz1iWII9KaCDPYOrlT1dmJY9j/OfPfkFoj03uZ89LaebPY7elD2ZfKA9wQedPf9zmj0woJc9toyKPcWQiD1UmYw9V0iaPfnVjT3JWZE9om6bPQEylj1Q1JU9wiuNPZxmiz1zIn09ckyBPcYqeT09onE9NLB7PY0afT1j5249QlFnPW2Bgj2hlIE9C7d6PbvAbD3Bg3A9kMuJPcCQjz3TZIM9VLpvPQ+aez1WQ3Q9ZU6GPQxviT2oYYA9huuFPSdRiT1/6m49mIBxPdwrcj2m8GE9DDRvPfYGdj2a0ng99g+LPepFiT1vm4I9HGmDPUk9gj25YoQ9/aiIPdfEjj2lZo49NouIPUZuiD3/SZE98JOJPfgtgj1mHGY9HDeCPYDzgz3zs389NiR9PTWzij0xD489WSOOPa3OiT0e85E9H72OPWG5hT11Hns9WfaEPWacij3mK409boSMPawIhj0ikGQ9EdRNPSklZD0Z+WM9emhXPVV7UD3DwlY9QCBYPSVqTz2Gl089qQZLPZ+rQj1c0Ec97h1oPZEWVz2KPzs91QIlPei+Jj1izys95KowPcicMj3vaEA9YkQ5PXNtRz3F7k891tViPUkjYz2YV1U9+NxaPa2SXT3ZHj09cdY0Pe00Pj1fZS09nC46PUpVPj1+ZjU95rEzPYhvNj3GejQ9ZL0iPRMbHz3HDB09+YwjPTP9ND1NLSs9EykzPRJROj0FPS09vUMuPXLIPz0alEM9i+dGPXXoSD0tZDs9kcVFPcKvSz05RUk9YApFPaVCQD0CS0I9K39qPV5lhT3Z44w9/7WuPVrEDD6LFTU+tTAjPn0/Kz7j7SU+KEESPm4DDz45KA8+iXsbPrDOHj5wCCY+e/AtPs9uIz4cyBE+8wQRPmUgIj6WVR4+V0IaPuF5FD6VHgw+ExsOPkL4Cj724g4+5j8WPtvwHD6oFCM+uwQoPoENOT4TmDY+DUgyPlgoQj74Pjs+4J84PhQFMj6OUCg+qk8iPl+9Fz5caA8+7p4uPhcyTT6Cjo8+btGAPhg+Nz4IYC4+v1k4Ph3kLT73oSc+qH0fPl1xEz769CI+0R0wPnedPj4ClVE+6QlgPlfHTz5X5UU+pxE6PuU2Mj5KdTM+AqknPrw4Pj4//ig+HH4kPkOiWT4lEUY+dksrPjFyKT5Ev0A+maFTPr+eST4O8TU+YoVGPsDxUD5mLz4+EowhPtdNLD5iVDE+ss45PvJtMT54hS4+o4ErPpRWHz6DrCk+ypgmPgysHj7UDCc+l387PqvNFT7dXh4+1lgzPkoYOD4BMUE+4Q86PqR3Mj6VzTA+cd43PupXLj4S2zc+/TEtPk2aLj5xfTs+5Fs2Pkw6KD7JQiw++b0mPlG/PD7HWDA+H2AoPuuDMz4LHB8+0yQQPumsJj7gxkI+xE84PuYpPT7h/To+XKBNPuNOQT4wxzc+iZQhPg5cID53ZCQ+Pm04PsZrQz4GAjU+vz8wPtapLD6beyA+9SUgPrHXDD6+eBw+OTklPlpaJT45ky0+Gk1LPuc9Qj7XvDk+m/9NPj46PD70SC0+zsU0PhyWKj5HoxA+JjIgPql5Iz7CczE+uyoqPuSqID6kPz0+ka40PiHsLT5rQzM+N+k2PkmhPj4bPkc+kQVDPsWoOD5e4Do+58M9PpzwKz4V5Sw+0uQrPvqzHj64xzk+7kE4PuG8Fj4ETQg+L1IiPqz9MD7W/TU+ajY2Pt0EMj4N4js+IxU9Ph+7Vj78Az4+/hYdPgCTIz4zoB4+ZxMePv9JHT4y2hw+e90yPsr8MD5H6C0+fCZDPpyPPT4RNDs+m545PuHiMz7GQzc+4EM3Pu9eNz7DqEI+slhBPpgcLT4xsCU+xz8mPuTmIz4nYjQ+yeouPiL0Kz7Snj0+blkqPtytPD5dtR4+JKARPr8VOz5QnC8+B/IlPu8rQD4jKVc+K4k2PqARKj4ATC8+DDMcPtwaDD7hGgs+nNQOPgreBD57bg8+hPCePU9EvT1zIq89PHOzPfj0rj3nO5w9awemPYFFrD3WmL09vHWyPStllj0jlZs9yjqiPeFonD3SgJ49p/GPPQLIij1XJIY9G5mCPU1BgD0h2YU9iBaOPeeFkT3DS6U94/enPcwvoD3IrJU9cHiUPSIGkj2JSaE9Sf2aPbgzmD0/KZM93RKVPUvekz0FcJI97CupPdZYtD0TiaU9VnqpPTvXvT0P3bI9qQakPfSLrz0XpbI9M3K9PUajqT01DaE9J66iPVqYkz0JvIw9jleMPQAqkj3qdaM9gRylPRNFoz1OWaI9l7CtPWjLpz0WeZ89kVmJPUZhbT2tMYQ9IT9qPayZWT1AwWU9AwVPPUWMST268Fs9tydmPTwybj2/yF093xxUPSgjVj3Vum89OOFlPY03Tz2W5U09ZNFQPfzOaj2Zn2M9IitUPUukcz1DU4Q9nVGCPQVmgD3eDYQ9bJGLPQnDiD2wIHU9DYt2PRhAfT3ak3U9R0VnPaZqVT0utlg9vx1HPZ5PTj0mrko97Ak9PSynQz0LLEU9TAdjPZjUiT3X71s9Bj07PR7rRT26WGE9D8R3PW9ffz1KH4E91A1pPXZtZD3hn3Y9kBplPSQ1bD1KSWA9/lhTPbflZz1Vl1g9gMk4PU6kPz1SSlA9poFZPVuqRz3lSTM9ea40PSgWTD3TF149qyNiPW+1ZT2CCTA9zKMYPQ7KDj3LzA89+l0UPbVYFD2dyBQ9b3wIPXkICT1H1wI9FP4MPZpTHD0iYhQ99BsPPZoNHD0ZrBk9p8v8PGiTAz1yGCI9QSEdPaXzBj0/TOI8HvHxPI4R7Tx/8wE914YEPWxH5jyuAgA970n2PKvt3jxh6es8L9/4PAcG7jwIv+480/biPCBK9jwp6fI8Kx/6PIV8CD10VOc8ZcLoPETi5Dxdf+c8fO73PDdtCT1XAP88/Sf9PNcVET3p0g49oSMJPWQRBT3ouw49pFcEPQUHBD0K9/U866v/PJpqBz0wqA89amIFPZ3SCj2roQU9au8TPXlXGT2oEA891ZQVPWJVIj3smi49aVo2PQOCJT0gSAg9g3znPO5tGD2A8TY9ZJ5CPT6LPD14/E89LJtoPc85hz2gs2c9cN5iPcOvVj36lkI9dhw7PUd+Mz3VKCg9rGcuPe9zLj260yk9c4IvPQuJLD15U2I9plKLPZt7fD3FAFM9NZVWPeMQdj1ZI4E9Iu6BPSrJiz06PYA9oGRzPVoDgz1iOpA9Nh6cPZ3HnT2L54w93N18PSppUD2y9UY9CfhxPfLOkz3O2pM9EN6QPZqbkz2HdKA9j527PTnuvz1QwKU9dzWhPU2JpT2Go5o9VdGjPQ85xz3+xtU9/PvTPRH40T3un909/vrmPc2b4j2XAtE93hrJPc50uT1sM7U9f2+sPYeanj0R2Y89nwmBPXJgfD3neJA9N++cPT2znz0QpKE9PcWqPct+qD0v0ac9ea+hPY/sqj1E4bk9HdDCPe0xvT2DjLA9FvaxPWWbrT0dyrM9NxmzPZEssj3Sna493ETBPZ2vwz1Rnac9MsOjPQYMmD3AmpA9c++XPZJOjT0nhYY95AV8PRHjZj08Uok9hQ+oPRflpD07Y4Q9U42CPezeij3wDYU9X2eHPRpfgz2EPng9jbZwPZdBdz19F3Q9ymuOPRSFmz0LQY89kq2LPWabkT3ZsKI9JH2qPe+lmj069ZU905CNPUfmij0fkJE9PxmXPbuRoD01Lqg9EUanPS82pj2kK6Q9VIKkPWvTnT3lhZs9Ok6gPb7fmj1YEKE9BE+cPQetiT2lB4E9R1p5PXI6eT3mFns90TOBPbduaT16cGU9Q4aBPYWwkT12QJQ9eBaIPXLwiD2z1ok9E86EPbPshT1XgoE9BXl8PXxCjD1oeIU9t72BPX0qjD2pMow9s22JPVMvgD3DsWg9Y5yDPcLqhj0kgYM9hLKLPbf3lz0kApI985yQPR4Jij0D3ZA9Tk6VPWyDkT3C8489i1WTPaNwkT05kYM9XU+BPfBohz2Ph4w9wReGPQB7gT1zUJQ9UGKNPfx5fT3+qHA9gwyBPXGLlD2tWZg9SaeTPUU7kj09n5A9qFGaPX+5lT0APoI9MBaJPd83mj0ukIs9o+t7PXA6cT2ihWA9h4phPUBDWD2pll49cgdmPa68Sz1iVkA9WepBPY8ETT2XrDg9eghAPSXoOT1gekU94g5gPUL5Wj2kjlY9V79MPZ8jQj0V+Tk9Y0I4PWK5RT3TzE89DI1IPeQ4ZD3vaXI9+jxgPVxYUz33g0U92flAPXKFOT1CZS49H64uPe0zLj0kIjE92zUvPb4EPD0E+kA9Lho2PTubPT36NCc9aLMZPdEVKz2tzTI9K5I1PaG5OT11lT89cJwuPRy+Kz2KTjQ94Gc/PQ3IPj3S6jk931Q5PR50Nj2lPD09bhNNPS9RRz2Gy0U9sqxMPVTVTz2JKVw9YzlsPWMlhj3nJns9u1+dPZkADT5Itj4+VdcxPm/eLj4HJxs+bPcYPvl3Dz7FXQ4+eIUdPmpKJz4nVRo+nVQWPgs6Gz7Y1hs+ViwpPgCUGj5vOxo+EjcYPgEEFz7glBk+Xx0jPsl7Ij7XiSI+0YEaPp9ZFD6tFwo+Hc6FPZX1/zwG7ro9B/0yPpmPPT5iriY+/HArPlBhLz7t/Cc+ejMhPmRTED5IWRE+gRUfPiF0Pj6Dty4+bAgkPrAmJj53rjA+l+smPt2DHz7Gwh4+yi8ePvMkHT4lxhs+mBUjPkvIIz5Jj1I+2UNFPmTTLj7WtiQ+2H8fPjXGLj7tQTk+pPg/PiyYST6nXDw+dGErPoa9Uj7KnjU+7JQVPlUYCj7oqzM+Ii9EPhvBQD7IHTE+a+krPkC+OD5m9x8+YT4WPttiQT618zo+YMwrPsR5JT7RBC8+pUY5PldvPT54D0U+ME0yPpdRKT7x/jg+ySY4PmthEz5idy8+yOc9Pp2jMT7xDzg+jOowPqVHKD6zUy8+tgYuPuHILz4hFTY+uPYtPmklNT4kGjY+YFc1PlelNj6goSU+iVwzPvVeTT5Cqk4+oZtKPrg0Pz4soSw+f/AkPjjtJD47DC4+4oEsPhXzNz6yOUs+l4tHPiAhTj7yiU8+HDBBPnADKT56yC0+5RA3Pox/Lj7C9is+MNo0PiMiKz6Dkzg+YutAPvtBRD5kCjY+ltAbPqZ+Jz7h/jc+Yp0tPhbhKD5HmDo+HjM/Pj9ZIz4BBDE+5C06Pu/VLT6/9ic+cQBAPsqQMT6bfz0+G2REPm5RPD6znjk+3W81PrO6MT67Kzc+LkEsPusTLT4mTzc+xM8uPo/9Pj7bLD4+qfA+PmLHKz51Eyk+eFE2PrU7Nz5edDY+zsZDPgHiMj58JSY+D2sxPgMMFj5IEDU++dlYPp60VT5Y/0Y+QH5cPsm2Sj4aeDA+tHkdPgS5JD5HViY+Mv4qPmvrJz6YDjU+Xy00PsBFKz5blSA+L0syPiAhOj7ZfTY+jHw7PqxvPz6GgSc+wo0iPpRMNz50UEY+NuU6PincHj5Z+RY+xcARPg36CD5E5QM+xaImPlzjNT5xtl4+/A4/Plh3Oz47+i4+eU46PpjjVD6AZTg+pNMwPqdkRj5QxEY+gDhCPodbFD4ioBA+DvUdPnoQFz7vNxo+hoIjPj8CDj5klQ0+IPanPXVKsD1Cz749tVS8PUhMsT2RCr09GkWxPbBbpD0MXJ49BjuXPcjSpD2BwKk9iGiwPWkYqT1TKZQ917mJPV1ohD0C7n894zWFPep5iD1jD5k9ptGbPXFqlT19wKI92MKaPZxYlT3LVqs9O9ioPUz5mj1WSqE9uKSvPSutoT1TxZg9ZlmdPcqLpD0aqbs9VwS8PYhjsD3D8bg9HtGzPYINrz1MQ6s9nXeoPRpMsT0f2qg91vGhPW77nz2Sv5s9PWynPT7flD1V5pc9OQSmPcdjmT1L9Zg9zCefPfxVoD23pp09tJmXPQU+iT1994c9fs6DPQytWz2XwFA90JdhPUVtYz0vEls90UNjPSLSdD1yz2M9bOJ4PRMWdT2F/2A9z75wPY+VUT07k2E9ihB1Pcq9aT3+72E9ZchTPRIYXT2xxW899hh/PfnUiT0HPYA9v1pvPVCaZj2bp2k94LVgPSTJYT3R4HQ9d8h6PV+3gj357YU9bX6MPf3hdj070V89CjxWPSslVz39TFM9VFpXPQlzYD0RaV895U10PSgtfj0gTnA9NjVRPfclSj3WPnE930RxPYL1Xz0bAF89U/RTPZz7Yj2eXnA9OxaCPWO4eD25YHk9qJpyPWV8aD1Fnl89omNOPcdDTz0Sz0c9YIA7PS7zUT0r/1Y9FqdPPSO0ZD3AmYA9AEZvPWX1Rz317SU9dGruPK6v1Ty+vew8dhcCPQx7/DynQwY9DEP4PFbjCT2qpRc9xyYGPfWHFD3IQg09Db0SPeFjCj3s+wI9sF7iPIcSAz2USxQ9n6MLPWwHAj0VpAM9AWgOPU5EAj2eS/s8+yH7PO7NAz3NO+g84Y7bPIzRBj0PNhU9MJsKPTOqBD2AbQQ9rTjxPOWT/zw8pv087v4MPRGeBz0CdAw9rNr9PHxg4DxK7/U85w78PPRu+TxP9Pg8/Zn/PJ7SFT1XjQk9ZFj+PMGZAz1S8Ac9I6oMPcumCT2Kbgo9+3wWPcOWIT0UXRs9bvcLPZNIKj3XqCw9HIkPPbImFz0TQhU9xrQkPTrYND2I7EM9MVo0PZPMIz08Pxk9oy8xPSlrPT2+4lk9NipaPeyQTD2rtUU9jBFVPe+Haj1JwlE9JuBFPWg9TD24WkI9d3M2PertKT13JC89zs8rPTiuJj3EEh49sbAoPei2PD1JiHQ9kByFPdCaWT0Bq2A9N3R7PWBDgz3wloA903eEPXi4hD2Imn49wMlwPW/XeD3M9Ys9rLaWPXEmmD3x65A9RmxoPVOqQT3hHXM9YRWJPffbiz0Kepc9RjaZPb+FoT1+mL89va/HPQkZrj0JPKE94CKiPXHIpz2bjbM9vz7DPRME0D1sb8s9ObDMPd3ezz2K4NU9NVDWPe9zyD38a9E9hdPNPZEzxz3vfcc9MeSmPQMPjz0ncIg9zVuCPUF5lj1zA5k9zs6PPa6BoD2d7a09GHO8PQGRtD17Aqo9H+6pPUZpuj25oLs9RjWqPQWCsj3zVbE9MyK5PQDNqj3bm6I9PQKoPU66sD36Bqo9LVmvPeorrD3vrqY9aH6gPQg1nT0XAZU9PpebPUuipj3jKJU91NCTPVEhkT2hyJA9BgSlPWKIoz2V1o896cmFPWLyfj1ks4c93haMPVuEgz2FU4k92C+HPbZCkD2SJ4094OaOPR2biT2o4YM9byCDPVszjD3edY097faEPR8dhz1Gx4s94xWOPfPMjD13w4o9AnqVPabppT0UrrE9YzO7PdqJqj2RLZo9AQydPTximD2B04Y9osGNPZHtiT1g+IM9QcJyPVAEZD31aW497O9oPUSebz1cWng9O/aIPe3pgz2/mHY95GWGPZAHgT2//YM9nPyDPcFOhz1LwYw99yKJPVKPgz1oRYk9WJeMPSeIiD3LC5c9wmiNPW2Vgj1xtn09XhKBPc7Fkj2ol5g9FYWKPUZkdj3EQ349jNaPPbauoT2rDpo95SWGPYSkgj25MYc9wn2IPY0Thz08MIc9yvCCPc3qgj3BZYo9eGSCPX7LhD1kgow9DwqOPaTtjT16r5c9EM2aPcsDiz23zIs9GwuTPQ/okz2FFJc9c8qWPfqEmj08YZ89DtmYPWlijD2SN4M9Cd2APcdwhj1/R3I9sZxlPWBNaD2xDWY9cpZVPXtASj3XZ0k9bWVPPQHdTT0WMzs9HZdBPdjCTj0it0c9Aj5dPRYsYz3FCGg9BztmPYz8Zz1Fe1w9zUJXPS0JQD12EFY9AEltPd+JeT08jnE97cd5Pd2PYj0WYzk98C88PRwFQT2QoS89FxIzPXvxNj3vKjU9Qn07PcMLPz3ui0U9Oz48PdqEOj3e/Ds9e8hLPUZeVT1mfz09M043PRN9Nz0k1To9Xxo6PalcOj12YTE9A6ozPaANKT0lAjQ9j9A/PXeTST0rvFE9aYZMPToUST0AcVw9pSVUPcapSz0daU49ZS5FPbKoOD0xLDI9nJ9GPZPsYj3Th2I9jaf7PUAjXT5StD0+160mPk6wKD5xIRc+sNIXPi8UDz7YUxM+PqEVPk7XGj5MaSI+jkkqPsK0Jz5pwCY+MEgZPtqXHj4VbzI+t8AfPqTdFT4D+ic+ZwMhPiuoJj68Rig+igcjPrrkET65bdY9mhLTPAEkPjzp9VM9+BcsPnMXGz5OUhw+e4smPjHOKz5+siI+fFgnPmn5Gj5w2CQ+mohRPiDrMz74URw+cHwlPpq6JT4pXyg+h/QhPiSdGD65txs+cDoiPq2SHz5rexk+53AhPmClHD6zly0+a3w0PlZ4Qj6f/kk+Ch0zPosuUD7NeGo+/qhEPof7Xz6lwHE+egBhPhEcSj7g5CM+2fYgPh0OHz4wPDw+JZ0xPrsBVD4NhE0+mNctPq9UKD4TQS4+4dU6PsnrPz4zSSg+gvooPtreND7twzg+Uys1PtvOMD7h30k+dAsxPqLcMj5mXkQ+WvM0PmKbNT4ZsTE+kVwqPgvoNz662jQ+RkEzPhGvJz7AtCo+lBYjPvRELj5Pvzo+rO04Po2qMj4JNC8+b+UiPsyYID6Bgx4+TH1MPvczbj7MBTY+YYU+PqfpNT4QUjc+H/QpPmwGID6boio+HZMdPuaeNT5HzWA+F49BPiXgQD715jo+ZtMvPqRMOT4TUEM+sHYvPm0cIT7ftCE+7KkoPtZ6Jz7lFUA+8Uw9PprGMj6Trik+2Q8iPrE8Lj5Edy4+b7ojPl5KMD6RJjA+0aA7Pr5BST5yTyc+PX0jPks3KT7a4Ck+59whPhHzLD5GlzU+Qd5JPu5MOT6HjyA+QNYrPryKNT5K8zY+kEksPqp6OT4RxTc+JKk2PmzMMT5TOic+Xmk5PnAkJj4E+TY+LUAsPiKdKD64xyY+eds1Pn/+Lj7iOxc+AhkpPp+OIT5w3jM+yJ0sPlErTz72p0c+bGtEPtjaOj6TXTM+8ZsnPgbjMj5mXSw+xdsrPovRIj5hGCs+3pAyPu9pJj4vRh0+FE4oPkd3Iz4JqyI+RBgYPuv3ID56uh0+PEUaPoS6Ij5PsTM+PY4pPin9ID6BySI+UcQoPr4lHz5ixBc++kIMPtshID5Rz0Y+fa01PnSLKT5Yrik+j0U0PlE+Lz7GARs+J1sXPpbUIj6mNic+5bYnPgZnJT6n+xw+/hwVPlPoED7hXhw+qW0jPpNdIT5N0iQ+hHi3PUbRuj275Lk90Gi9PTJQtz3al7Q96LWbPWhUrD35Nro9Rk2qPZ8EtT3/t7g9vvquPZGIrT2oC5Q9O/2HPZUnhT3+SnQ9y8J4PQoAlT3/85c9mLKPPYk7lj0b0Zs9rQ+aPXYGoT0mrKo941SpPWK9mj3P5JQ90KWbPeK5oD2ilZo9uZOfPSVMpz3A4q098M6yPVrNpz2pkLY9ASGyPYV/rD17+689gBOvPRPauT1R57c9YL+pPXtPpD3sgp09K5uSPabSnD3kHaM97NyoPZDemj3G/pU94BORPS5dhj2VTIc9hwZ+PeqYbT2XVF49FltKPXBtUD1UTVU98FZcPbj0dT0kxWk9QzKDPTeAcT0ba1o9pOp6PaVrhT05h3s9KThgPdmvVz1KG1w94A1cPYtmUj1IDVQ9aoRXPfkUXj25cXU9ROBgPWFYcD2F+Wo9vapyPaPWbT3QgFI9WZBoPf0wbD12f2M9uS6APXj9iD0tXYU9wPGCPRaTaz2HyGU90hlRPcV8Tz2cTnc9xwZkPa78WT2gTVQ91IxgPV24fT2gVYA9SXp3PbmEZz0Ue1o9ee5YPZVQVz0ylGA9gz5TPVkBWD0tw389yu+DPUyugD37Onk9p8d7PcPdej0uX2c95ZldPahCRD2Exkc9rthqPddzZz0HUVc9rMpfPbMBgD2uC4M9SiQ8PWvpFj181fU8WcniPGQx8jxXowY9MLAFPf8o9zwGSwg9qyELPXcODT2vZwo96aD+PBLa7jy4Zus8GAAAPYWp9zxiae889lEFPb9KBD0kPwo9aNMCPSDV+TzxcQY9pQEQPeV0Cz39igI9Zcv+PL1P8TyaINk8gmgEPRQmBD1xbgY9NqcFPVXy/jxYFwA9teADPYJZCT2WbAk9j9EAPays+TxLHPI8qbkFPWpqGT07hwo9onnrPIFE9zw+CQc9YMoWPfo5GT25bBg9b9QRPTiwCD1G3Bg9RawsPRMyHz18yRY9a3QhPTo0JT07xws9Ka4ePX0RSj2fFSM90V0UPeXbCT1oXgg92xMXPRL4JT3cFjk9aME6PSMfNj1jjio9ljpFPcGZVz1RFV49cWliPfwNZz2oclo9W1dRPW7UXD0WTU49polFPV72PD1ChC89yzowPcxkMj3hayE9sA40PV2YIz3KIBg9rYYnPa8FRj2pm4Y9UtWAPU7IVz1qBGg9k2t+PUaFfj1lGHA9HoV/PUfxhj2CEos92MOAPQEMij0rlJg9k8mXPR9YiD12O1Q9+wtLPdSFYj0k7X89L5qOPUk3iT1OOYU9D5WQPcmZoj3dJbk99N/GPcFYsj0bHaA9ZEWqPfx/xj1KMdo956bTPftt0T3VFtQ9is3BPVKbvT3dvcE9WUTJPQ/yuj1albM9rijCPcQNxT3Nqro9XIGiPQA4lj0lH5o9nkOIPUC1kz2y2Zc9SEmZPVlnpz2mMbE9crayPadWtj17rcA9bUG8PZ1iwz33grQ9EDa4PZ9NsD1n36s9Tva+PRT6yz39xLg9UTW/PWBkvj1fJKU90ECoPWuEoj0qOqY9CHiYPTedhj1K5pQ9p0GdPYyFnD38Tp49ncmYPeqJkz09GJ09V0GlPRzqmT1qFYk9HIyMPd/JgD0ZCYM9R3eJPYzFiD32xIY9bzmUPS29iD0xJYw9h3yIPRFrgj3XyYY9x7aAPXJpiD1aSn090894PYYvkz2aaZ89PmqaPe6fmj0GaaY9GNu4PX5yrz2Fy7w9yim6PWUYlj0zhow93OqOPfd6hj3rlIc9ejeCPVNkdT0ptWc9w/5qPcNYdj0YWYc9V/SAPSB3gz1F2JE9xjKJPQDXdD1kaHQ92eF5Pc37hD2tHI49gZqNPW52kD3cJJE9kX+PPfkqkT2aw449Af+LPekwjT1sKos9OB52PVA3dz1MtZU95OyYPfHPoD0yW549hHWXPZU8hj1aqIw9WeyTPb0WlD3TTJM9tj+OPaNyiz19H4Y9qiqBPZasej1hjH09Zox9PSvxfj3q+ZA95/ajPU8Bnz1N5JY9+FWRPWtJiz1k/Is9OgKOPWXlij3VMYc9h/+HPaUAgz3sQIo9LH6GPQBLiT29i4M9wVVxPceScT2A4Gg9ASRnPWZtfD1qxnQ9JgpiPbL0XT36yFo9p1lSPSPWWj0Ri2o9RfByPZFLdT0VqF09qbJmPcjHdj2rKHM9I12BPQvidD0/bmA9/phbPZqnYT2F01s9LIRYPV2gXT3b7Hk9RRd2PSR/Yj2+m1A92lNEPU9LNj2kUyg9b0A5PewZOT0H2Cs9/j4xPcgxOD3kkUU9MflPPUhYVz0AXj898Jw2PS9JMT0Lvjg97FRJPWVURT2MUy49rlomPTeIHD1ivis97OQ6PbKzRj2p8TY9qu0tPXFJKT1eSS09owJEPc6ASj39OE09B49IPazrPT1Vq1A98+BcPW5kUT1/f0097xNIPeSVOz3sbSw9YatQPWNteD09ReQ9ERY3PrMKUz5xpyU+UiIcPkpiFT5fgxg+6ukTPjFtDz4XXxQ+lVcVPniMDj4IuiY+/A44PrACJz75Ehw+UpYVPpZjEz6VlSw+FO8vPu25Hj60jSE+oZIcPs2QJj7yghw+pfwLPhAi3j1DwA094qNtPCnEcjxkbeM8lvYHPsMsLT5bXCU+uRgkPgKDJD4Y7CM+E5AfPn78Fj5bHxo+rhAZPiiyHD4FFyM+bsYkPjaiJT62Hx8+84wxPjA0Tj65jDs+UFEoPuSdHT7YdSM+Ii0jPizWGz618Rk+ejxtPk0OUD7iJTo+ji9FPrcPSz5lh0Y+QU4RPrF7PT6IAHo+fCxuPmOBcz7sVno+wOhtPtY8eT66DlY+FyQ6PjRQOj7b5Dw+wNQhPs+1Iz61RC8+aWVBPkHYPj7InzU+70EyPghyNT5OOzg++Gg0PsmWMj6szkg+SeQ5PpqYKT6nLzw+pLA4PsfPLD5NqC0+7Bk4PrOwMz6pIDA+iFMwPpoJNT5fPzo+d8QzPvxjOD5E+0Q+EQk9PiNDPT7pMjU+3PAtPk1pOT5doSo+XtMvPlImMT60cSw+0OhJPknQPz7dMig+kAsjPi/+KT5k+TA+mmwxPlb6LD4YmEA+aThCPpynPz4N50A+R6A+Pk1fRD6Bolc+Xho5PvtPHT4lnRk+wMk5PjgPQj4DBkE++bA4PktNOT7vGTI+JMopPnCAMT74BjI+s30uPmr7JD7UjiI+WcUnPh1tLD5xuRU+GTUZPmv4Mz6k2kU++oRCPlb5Nj7TQjQ+ttYxPlPQOD78hzA+ZLQfPo2VKj6VjjA+ejwxPuVkLz5qMic+QQAZPo3GHT5ObSo+sbsuPuI0LD6ziTQ+BmMpPgVmMj4Tnik+AQpBPrXOSD4UYU8+HFFnPhooIz5fdTk+3Xg1PgU3OT4wIjc+204vPtGtND40YiE+pRcePqguOT5YzD0+FTI3PvqqMT6XjCI+GHooPi0cKj6NnyM+mtglPoxWLT47PiQ+0mUbPhGvIz6T6zU+x48vPq0bLz6X9Co+vH4xPqinKz7KyCk+ZeEtPiHTJz456Sc+TWEmPkUYIj7eYBM+mlUIPvkTCz6xhAI+9y8IPnaMMz73DjA+IbEnPur3Jz4PPyA+IPgiPqj4Kz5rgh4+TdAOPrVlFj5IGBM+FkwuPuwuMD47fyk+YVDQPbeIyj0Dr7w9v463PXAmwD2SUrk9O+SqPdJqwD1chMg9ifHHPdU6xT2tQbk9ZS6sPbAjpz2SA5I9EvqJPSQghj0M3YQ95GWDPYYDhz2Y3Jc9/NqUPRdkkz2yyK89t822PT+tsT2pc7o9UYOzPXyxpz3soqg9zsKqPWv1nD2fFKI9ODqiPStBlj21p5g9m+GVPcnmlj1ym5s9wji/PV/YuD0VY7w9OWXBPXcRvD0BsrA9ASCdPblkpD2hgq097Ce8PYzXuj3E8qs9VGyUPZYShj0WYIM9SIaCPYyUdz3AooE9Rfd9PRdubz3dgGY9QxNYPX3OTz0BxWw9+SNzPZaSeT1SPXU91ANVPZwDVz3YvnQ9bj1fPXBfXz2o74M9oDmFPVYzhD172Xw9HdNoPZ0Rbj0CcW09F85pPTU0aD1Qin89YHJiPdcCYD1hSnA9AuiAPThiaD2vS1s9zq9oPdNlYD0t+F495bl1PVCEcj2tNGQ9Z6BbPVQfUD3HNFo95cpUPdx4VT1lCV89KmhaPUN7UD0gP1o9a2RlPTyoZD2XzWo9hvpyPRordz2sfHU9UNmCPTrRhj0mHXo92PRQPaFoUz3a1lc9v4VqPSu7gT2aynQ9hJBrPWi6XD3kZ0o9rrtFPUrEVT0It209CsSAPYnBaj3dBUs9WvVEPa7VQD2sESE9pR0UPexwIj020hs9UgoLPWzQCz2XFwU9ZfwFPQxPDT158hI9VH4UPZo+CD2dBwk9zR8MPbYI/Dw+1BA9xAoNPVV/9zw64PY81WECPb0GCT1Ypwk9xK8BPUXeCD2mOQk9gFEIPepOGz1L2BA9zg0LPdtq+TytNAA99Wj3PPBx9TymT/c8tvzwPAaE+jzejAA9mwENPST5ED2qfws9jV4NPf6tAj3Ej/o8/37jPFwBED0PoSs9z08IPa5cBz1nXhU9TkohPVmSDD1/WBE9xcAVPcSFIz2vMyg9czUkPeZyEz20EhE9dp0gPbPkGD27SAk9+l0KPYxXEz1dryY93EAmPZiDIj3/WRg9I7YmPTYtND1n/Tg9ZL03PdFmLT1xhDg9x0BGPdeJST35hFc9L5WAPWaPbj0rnVI9KVU/Pb5EUT3LvTs9amQ3PdU7MD36YSo9yVonPaAhLj1GNyc9wBA5PbefLT3gIy89m/NFPfRMYz2YmXM9CoxTPS0NXT2CAGk9jUxkPfmAYj24G2U9Ait/PVcQgz1hIoc9bnGMPTUNkz2L6ns9sSOEPVj/iT1wlWg9MDhzPR8ldz3geW49M/t2PQqmcD04TpE9hNmhPdxznj0e0KY9PG+5PZSktT3/ea09fkivPUGTvz3MMcs9xpbAPWTAyT3VmMg9Y2DMPWuZ0j1DS7k9A/q4PXyItD20PrM9UCmvPdcRrT0Di649g/2kPfPDnz1NKZ09yRGNPfKfij2YJJU9PeKbPT+Ypj1+dLQ9UYXAPUNvwj2wDcg9h3DEPfjavz0As7U9tX2yPaF9xj1J8bs9yh60PYCpwT34Vbg9w1+vPRpZsD2goKY9Q1miPcM+pD0PUJ49Wf+gPd8lnj038qo9gnqePdfLlT0MkZw9w4SjPceWoT2p9aQ94y+aPUO5iD3wEYM9C9mGPYn7dT1BUIA93suHPfaMjz2zpJU9v3SbPXISlT1XXJI9DZ2OPSbchj0xE4c9y02RPVcAnT1CNZw9/QuRPfxhnT1VgZc9D1CMPUFfoD20CKo9SNGrPZa7rT2xmaY9or6nPSq6mz2VxI89BReUPb4MkT0nSIc95j93PW7qaD1iVHY9rbp9PRcthT0sbYc9H0SHPS5ojT3l84M9ykttPRc6az3tLIA9w9uBPde3hj1PBYg9PdWPPU9UmT2qMKM9CS2kPf1Uoj3cIpw9w9ucPV5dlD0ijIs9RbGHPdC1kz272qs9iZelPbF7lz3jIp499HCnPVw8pz3q0p09Hi2YPTOnlj148Ic90Pl+PflNdj2/J309gAB4PSBwdD2Elmw90PCIPfnrjj3CFIo9uCWKPVmwjD1xxIU93EyAPWJDej0SNX09vO+BPQBThj0r4ms9MDFlPSFzcD3mGoM9aaqMPXUWcD0ydE89p8xVPTr6Wj1mIU49CHRXPZUMZD1yoG89yslwPXEubT0o+ms9clBpPalhfD19AWo9IDtqPUBMdj3rcms9DDVsPYJNZj07lIA97JGKPTVNcD1JjnM9+2dgPbXOZj0KGls9GSFePVOncz2/I149bdNPPQ6zTj0N8Uw9P3lDPSLdRj28eT49gHk5PdiLMT3rvk09QrdMPZlAVj00N1I97fFDPQeFQD1NATc9IoJFPZ/lQT1rKDI9an4rPbddJj2Q+TI9Wf0sPUzkPT1wjD49t8pKPQ2/UT07wEI9A+FAPSbPRD2dFE49OC1OPamJQT0gOkI93Ko2PXgGJT0O4iw9l3U5PTTvSj2OQk095D9PPfRRPT36wD09TpxqPTeeuD1aHgg+1Pc2PrynUj5qSB0+DikfPl96HT4zPSE+KfkgPkXIGT6yURw+m5cbPmitHD5LkR0++fAXPpMTID4m0Sc+/vUiPjs9Gj4X+yQ+MMAvPisQHz4eThg+ZVQSPnAqAT6VZRE+AtEMPoXKgz1yeWw8STVIPJ4daDzWYwQ93q3iPUjQLT5VoCc+8EIePmlFDz4ShBE+qE0cPoJOHz4MQiE+L4UmPrUIHD55Exc+f8MhPt+AJD4elhw+AlMcPh8cUD7mNFk+SVlNPq/VND5yQyg+vS05PtfcQj7kAyQ+WeVSPvEQWz6jK1k+QR5lPlkQYT6Eslo++79kPkSmdz7xuWk+IsxOPnoghj58b6A+QJxsPnGEbj69XVM+HbxRPt3UOT4c1i4+JBAoPm+kHT6aHCY+AGZAPs0INj5jsDM+fJg1Pt/6Iz7ORR8+0sUiPjhvJT5rQUU+nfRYPqSORT6rJCo+sYgqPudnJz5xhxk+QLIgPp+MGD4idjI+hZA2PkDYPT6ClTw+yiQ4PgE9Nz69zEA+q1E1PtwXHz629Ss+OtUsPjAEMz7tbi0+uusmPsNHGz4bBiw+Xgg2Pv0WOD5xlzE+1dgyPn5fNT6nKTU+xJ0tPp98ND7a4yU+u7omPiKXQD6xKDs+sPcxPlDsQD6Zo0k+AlhEPqcxMT6TVDU+qog6PrshHj5MXDU+H99EPs9/QT5UbTA+oQUwPodULD7KrSM+6XscPssfJj4/Ijk+9JwxPgHdMT7nUis+xCsZPq1RJz7jSDw+DIA0PiqwNT5N0js++HBAPgDZOj5e2y0+JL0cPhklLD7upDw+I3JBPuAEMz7YNCo+qd4yPqY4LT4NUTE+9QQyPuafMz5/Kj0+L3M6Pg0ROD6tfDI+rr08PjZzPz4WuE4+tzVBPv4yOT5P5D8+mGE+PhhIPz7kRB4+ctgpPuQ/Hz5LwCw+bwNIPvS2UD7VpDU+o8NTPlpEOT4/hyM+8nsuPpsLJT7xLB8+nNUiPoTBHj4Jniw+VuwvPoLoHT7s2x4+IsImPic9Lj7RKik+KeMnPrbqHj66mhc+SnkcPq3CIz6x5To+DngvPi2aND4vcyA+PGz2PaCJBT56hBk+IbUhPuYILT5VFTc+uBA1PpwHHD7SuRk+suATPuycFD6VsTI+TU4sPmhgIT7R5RU+m90cPh0fGz75lRw+JHbhPUsOsD0BTKI9MJmzPbYAwz3ALbM92pekPbWJpD1YVbg91dC5PU+aqT0cA6U9ft6kPX5IqD38VJk9/Z92PelHdz1kBYY9Ts6KPXY0hz3+zIw9ry2PPeiklT26cJ891mOmPfczqD1PFcM9DUfMPY7UvD3s0609UWOcPeaakj3heo891nCiPTTOqT3715I9jN+NPXpAlj1Qda49kEvCPR3Wyj1t/8A963PBPXBiwD2d1q09aFGbPUvPpT1fbqw9zLmZPTZklD1C0oI9RfiQPZw1nj2I0I8938WBPUehgT3ECYI9/JVzPQvFdD3yiGU9Ki1rPQwDdT2143M9CV9/PeApiD1mVIU9YgOAPdQncz0G+2E9vu+APVnahD2j+ns97CCFPXjTgT0u33Q9kq5vPdUJgD3TGoU9BbCUPbZWkj3waIQ9FamAPehzfj1v2Wg9g3llPZ/YYz17Pm4944JpPYYzXz3VIX49XYKAPdanXT2c0Uc9wvdNPeAtUj19Alg9QXpnPSmFbT2rfGk9HEWFPedFWj094Ec9cmBJPZqdSD0a3VQ9e1ZiPR3paz3PoG89kgtiPacNXD0mn1o9fG1pPdc9fD1gHoE9rF+IPbvIgj3wqmQ9IsRvPeu5ej0QCmU9optzPflpgj2VUn49fHJfPRCIWT0SykU9tGszPQpXOD1V/Ts9tdo2PeFxQz2S5zI96ponPRnvDD0RT/c8eZsJPYvDGD2fuRs9qRoKPR3wDj2blBo9y70MPXcdDj3LDwU9XAD5PD+8Cj3BsiM9ypAcPfhtIz24Bh09zX0ZPZOKDj2PFhg9pj73PFkxCj1upQo95/kGPeT4/zz/MAM9xrMPPYZkAT2uYgw9G9oHPZe5AT2pHwo9UB0QPRUfGj3ggAc9lekHPQe8Bz2azQY9mPcLPSSEDD2u6Ak91CH6PFhrCj1ACSE9V9MtPXyYGT3Zchs9c9ghPW6CKz3rIC49kZ4pPbSiJD1AmRw91UskPSxPID1eYCE9exMkPWb7HD3iiBI9gXQYPQ4fKD1vRzY94UA+Pe3vLD3ZkDA9pERQPehfOT29XSk9Z7EzPQ9XSD2MRkw9puxmPRnsYT14GUo9VrU/PQyOOD0QJkk9PEhLPWwVPz2JmSk9f6Q3Pf2XRT2DYD49qNkuPUlVLj1zF0g9X/RZPZwXVj0lylc9BkVJPYP3YT34B3E99IRjPT3aVD3dNVw9dWJ8PVlgdz2Y4I09hNiUPaylhz1EnYk9aD6UPdEjjz0nJYo9v7aAPeTZbD2GzXA9+H9mPRiBfT0DFIw9rSSaPZ5tnz2V05c9EYGePV2ipj2E66090SytPZghsz3mQLM95jG9PZsewD2gtrc97RC9PfC9uD36krc9y+q3PR7Auj1thbY9Oze7PdTVsz2qaaw98PimPftNrD3qeZ09v46LPe0gij0Tx409k1ORPQy3qz2qdrw9sdG3PdsAvj24oag9enGkPVvFqz2Zprw9ZJjKPe1Kxj1wbLo90unCPajyxT3kSr89byW0PfETwT00F8Y95fq9Pcomrz1+2pw9WXytPYCSsT0f3qU9D0mmPbNroj1MM6I9p7CePU7enT0O/5c9HvWhPTdXlj1tYpA97BKVPaEYjj2DqY49FKuYPYMsnD0i+J09H+ucPQwTjz2xaoM9n7uHPUlLjT0/fYk9E9uIPd0XlD3ZQ5I9AXmRPbWwjT2oZ449soqRPVKRoj2ykrA9twezPWjLsz1KeLo9qw+gPRcxmD1UD4k9d0OOPZ5rhT2IM309MseMPb9tiz2BIIU9uw6OPcwXjz3JBoM9nwSDPc41hj06JW89PitwPds9gD2ZcYQ9R1+KPZ+ikT3gVJQ9HZKQPRyQlj3ynZk9dk6VPX1snz3KxKI9ZKWUPfdqkT1EvYs9dBiKPb89jz23xp49Mx6oPdIvlz06EKI9idKiPYXVjz0seoM992KEPS+JcD1wmXw9ma2NPcXyjD0RFZY9MTqVPTExjD0q45A9CvCRPfuvgz1DjII9kRR7PZDObj07xXk9Qr59PVrhfz16BoI96D11PT5DcT0Y+Xs98VOEPT1Ygz2Sfns9rtJyPeqWaT28Q1w9/ExoPUwNYD2epmU9dcFhPR3dcz1XHnI9VlBkPT+VYD3O4Vw9iUNTPc4YbD1I5Gw9epF0PevYdD1VU3Q9XJ+IPdfshz2L0IY9zi+BPVeIhD38mok9UNmDPdSbgT28ynA9N5diPeXJYD2zfTU9d7MuPfu/Mj2fp0I9tn87PX6lPT1jjEQ9DwlMPfKrUD1YR1E9l0ZNPc0cXT3VcnI92YBZPVpZUD2gvkI9l0U+PcO/Pz2Jkjo9FpZCPfznTT1g2k09gWBLPRNbUT3dF1s9QYJUPcmVTD0S0TQ9e0w5PWDqQT3PJ0U9EgQ7PaxBLz3HRx09C28mPfWcNT05rTU9luY0PefFRT3a2U49AlJGPbUgQj1qYl498zqkPYhrKD7Adig+lOI3PnYvQT41GSI+1TQjPk4GFz5QoCM+C70nPgznIT5x5yA+avQbPkKrKz6ULxc+NMMMPuEhJD49jCs+mZAePjA9HD46LRs+4kcgPtKjCT6O4wE+CuCPPcoJkzwe1Zs9FBi+PXAyVD30fus8cj+WPLbqljxUC5s8rd0mPbGSJj512Dg+UQ0pPugxMT5quyo+DGMiPvZDIj6cFh0+8NgSPpXaKD7S8TQ+WAM+PrvuKD5/uR8+3IwbPiJNND5FZz4+QKhCPibBKz67ZiI+5L4wPpEcNj4gwyY+xwxLPsLegD5ThnQ+C65UPqysXT6S33I+PspsPgzPXz7az2o+BwtRPpKwXD64zpQ+jb+CPsCQPj6VryU+edAsPhmeMT5/jic+TyAePnTeKD4noyE+sUkxPvj+Hz7nlyw+uNJYPk/BSD5Z/jQ+42QtPoIQKD6nuRo+vU8pPkLxPj6J2io+DQsqPofAKj42QjI+zbo0PiODJT61XS4+Zhk1PsknND54bEE+aZcuPq1ULT5B7jM+lTw1PrHvKz4xijE+A/czPvHlND7r+h0+J1vpPZUqFj6vbTY+2oJMPrtxVD6cdTk+8MUtPtb5KT7j4i8+S4AkPuy9KD4Wzjk+33BGPiFDRz74FTc+C80wPjYXNT4PHTg+ehtLPp8TQT6nSz4+3x4iPuFtGD7SvT0+zW5nPmyaTD490R8+YekgPgKMLD6DfC4+TMskPtaRKT46diA+yjEiPs76XD5P4jA+NnEpPvcLLz7vfz0+zJctPmwWIj5iWSw+U9I0PtBxOD4lJjQ+Ax49PjVROj7uChQ+TZkMPrpaDj7CggA+wwYgPrUpLT4ReyY+/rw6PnBEZj7VnTI+Wkk/PnGGLj5DDDQ+ZDk0PnpuKj7amDI+Kwo1PuSkND6cwjI+btFBPhfQLT4xbzI+xnQlPtgVKj5c8Ck+3LMtPvzTKD7mGyU+AII3Pu+2HD5l1xk+b98lPh3nKz5MuSM+f3McPnw8Ij7Sux0+nyMkPstxHT7a5RI+A2EVPpM3RD6BkyY+atgcPjBDDT4wqAs+pNEhPh+eKT5+gC0+jLgJPopfJz7ZNzI+3Q4aPpoFGz6Z8hY+GQQZPmTQEj7TXh8+H/sRPnodND6f2S0+8DQKPhVNFz4S8CU+CCEjPk4nGj4a0xU+UmQfPsxJIz6Flx0+jgWxPY6ppD3sS6U9476uPRp1qz25E8I9hya6PQ0Zqz0+9qI9bfOVPaBHjj06LqQ9NHGdPVmJkT3mEXs9sEJ2PYTrhz3Wb409CumKPYxkhT3PuI09bAKQPd6ihT0Lt489IKOaPejdrj24R8E9cISuPfYgrT03ZLA92z6aPUCslD13/5M9JheePb15pD3UZpI90GWYPXQqpz1gfbI9B7irPWTBrj1zNLc9sbG6PReRsj174qQ9Cc6fPVswnj2qN5E9a8iPPZk7jz1yYIw9zjKcPQjakT2gXIA9+3N9PR2AdT2xYnQ9VcN1PQl4ej0Kpng9B756PWmufD0VP4Q9tniCPQewej1RGoU9v659PbnvaT1HhII93ViLPa3LiT0Qg40901WFPd3SgT2/UoA9LOSFPUyiiT1v5oo9GlmNPeM2gz0WmXI9MfGNPYBrjD3FDms9fPdlPfPQZT21Ymc9ERVZPcfsTD08Wlo9rT9aPTF+RD1w3EQ9iJFPPVA5WD0oDGE9Ix1uPccDXj1IcVk9a/NfPbrfUD1lekw9NANgPQ8ccD2Su3E9qNduPbULZD3SemM9ZMpkPT/+YD3EomY9IJx5PRUwfj1TroU9CYiIPTo0iD2T9HQ9Q8ZoPeJ1eD3gRYA9qdGEPSsRdj2AoF09qptUPSwtUD1bvlE97FNUPRbZRz1Eeyk9AJ4oPUH1QT2ldR8961cZPQ5SEz11/Ro9o+ITPQb6CT1ZxQU9fu77PDnM7TxoYvQ8TYgCPbT5Bj368g09Tg0CPd6SDj0NtyU9bRQ7PfkDJT2oKAg9iikJPbVSEj2dBRI9FIsLPehvFj03Jgo9tJQNPQ8AED3I0w89hRr/PIPIBj2o0wo9r6sFPVqdCz3H/ws9hJQTPb3lDz1tOiU9Zt0pPbHrGz3sIhE9pPMTPSf5Kj2rRRU9x4AAPVzNFT2D4SA9d1wSPZpDDD0iFBU9HpojPeHCJz2AXSg9yJMiPXrRID2PRjE9JFU/PYYnPj0ssyo9RcchPcZBIz1QtSY9+P89PQvrVj07jlU95ZI4PcHaGD1eVCA9OQ8sPezBOD1xFi89gCM0PX7IST05Ozk94ME7PS6NSz1iZlY9N4lUPSmHRj1hqUs9e2FGPQC9Rz3pQkE9BqkxPbJxLD33GjI9cg00PQP+Lz164z89FpBDPQhmPz0+nk49Xt1RPexXbj0cUYI9Al1vPZ4oaj1tlFs9ZFRgPXpWdT0Dk3w9ys+DPRImjj3KHpA91U6fPYSfjD2AX4I9O62LPUgNlz237po9kJGJPSV9hj26MYQ9HxaGPVKoiz1mZpM9rhWaPaibpD2wRaA9cfWnPUs3qD0CtrM9xE22PUFarj3NwLc9KM+3PRndwj0Aysc988TMPZgGyD2l6bo9wKfCPdqZuj0vXL89ySStPfxmlz0ku549l5SQPfk0gz1Ez4k9NkGWPW4+qz1Ozb09l6q3PRyzsz1kyKc9scimPWbqrj0Vr7Q9W8itPTOKtT3fdb89Ipi2PUi1tT1FPsM9c5nGPRJQuj3zerk9MyS7PcdHsj0qz6k9pf2uPb+wrj10/qs95YarPdNrsD2n2sU9cArKPXQYsD1zcKo9Pv+nPVaVnz3zbJs9tDWOPf+/ij3EzZA9MqyOPbTAnj0DR5g9wAaHPafxgz0tOoQ9T3yEPavFhT02pIc9m0mRPSQplT1ORog9sASSPbCgjD1Pd5A9mc6bPeuhpD1b4Kc9F52nPZ84rD22QaA9pVCPPSMVhD2D7YY9swGJPSAZjz3pzpE9ypSXPecVhj1QNnA9soh0PX2ngT02PIU9d16IPTydhT2Av4Y9GFaDPd76fT1bHow9xkyKPUMLjD3wJZU9tlmYPWcHnz11tpc9WvmLPb60jj1uVYs9OOWMPUHDjD3Jmoc9KCGRPfpYlT20J5E9ZWOWPUlpiT0AGoA9XemAPb8fiT3XcIc9CMWBPbhmiz1LRIk9PWmGPf1FkT3HppY9qwWQPShQiT3vE4U91FuDPSxocT3LJXI9i/+APSSKeT00/2o9f1ByPcH9bT3c/YE9IwqDPc35hD1AZIU9nwWOPT2pkD0+o44961qBPY3fdz3BioA9IgV9PSshej2k/nE9rz93PSATeD29dXE9qXdkPT8mYj07zWM9IqJVPTIGZD3A43g95giDPSk4hD3SGYc9Dm6JPRhvjT3wxpU92eCQPdA+kz0J/4g9cctdPXu+VD2cv1k9WS5VPQK2Nj1kwDo91MpWPcnLQD3x3j49UkFGPRNxRj1AVUo9bA9ZPZUiZj2snWY9NzFcPT0fYj3cgmI9KN1QPcFESD0JczM9/PMxPZLcPD0avUM98TlPPZo+UD3Yp0U9hOlAPRxMSj24uEM9ugg1PQXBKD2bhi09ltU0PWqRJT1tTTY9Fe82PRc+Kz0odSw96nwoPeNzJT0BpjM9MUg8PWpsSD01fVU9Nu9RPcayYz1ygIk9IRQVPkluUD6cXT8+GPE0PqpTCT4ppxs+43QSPiRbDj4MViA+b+EaPmKiED7EYSI+8rwbPp5bLj6YCCw+IqwSPkOQFD4h1iE+0t8YPs/gED5hgAo+jtUNPhNm9z2P0bs9UsP/PPPapTx34ck8gGPcPHOc0Tzs59Q8lV+rPLhImzzyGp08fVHaPFAAyj1DPB0+N3cfPoYeHz6Egyg+wW0rPnvjIT56ZjY+TK09Pkv+TD6E1kY+b3Y4PnyVIT48aSM+EiEkPm9wNj5UTyY+1QIUPuWWIj7h7iI+mZIrPsCpIz6zmig++0ckPjLRJD47YCg+ptctPvLrJz6B6ig+MDYqPtSpGD7f1BY+7OIoPuApZD6Ywn8+4eZ/PspcZz7yIEw+bx1APrnjMT6eKzM+3kksPlabNT5JNCo+N8A4PqwSPT6nhCo++qA3PpLoRD4T8lo+/jBRPkrmVD5m/jo+kgMXPrT0Hj6FMzo+qpEpPtKaHT7ov1s+MFiCPvrRcT6m6VQ+NWQyPsmqMz7LHS4+vj03Pqd5Nj4DgTM+o2Q/PvTMMz72hS0++ZwjPsIFIT5vbjg+UAAFPg3mFD7oRSI+jHtHPiU/QD6XbzI+opU8PpgfKj4VTic+nKVBPk16Pj7GGiw+Po40Pn4CQz5J3C8+1sg6Pr0NOz4ifz0+ziY9PmPJSD5A+zA+Vb8sPkpYLj5E0UA+Hz5TPgxtOj5/fyk+jKcoPtO7KT4iyjY+UGI6PhhnUz5w9zc+eNU9PnBdNT4j8U0+hfA9PmlmOD6iXEo+LlI6PjHVNz6hwy8+KgkjPgxAKj6uESs+hX8jPkkAKz4w+EI+8XlQPlBoPz4weBA+diISPlmZNz6S2xQ+uSaEPjy7sT4BEvI9o7wdPs8jzj1wQQc+amgbPjLxED4maSg+cq09PvjnPD6flGw+RD9zPvq2Lj45akw+mPc+PqVjOz4yQS8+MWYqPgx7UD4Q9jw+ePImPosXIj74Wig+/D0nPnVdID7OdSE+o8smPtUeKD68Xyg+VbMfPhxUIj4D0xI+KrYZProrLD6x/xo+mH0gPhBbKj6vIh0+9AAhPjncIj7sURw+GkkVPpOUIj6IyB0+qFEpPnpVJz7N7jY+wmZKPqlJJz7yMA0+oF4lPjT4GT4kuiM+QL0ZPhh5Hz7tvSc+jV8nPl6rIz7X5i0+iU80PpQgNT5M8ys+8PefPRZ0kj34iZc9WYmZPacwpT3sM7A9+hSkPV0HoD1dno09uVSEPQtBeT1iOIc9aa+HPfOVeT08+Ik9kW+PPY7HlT24QJI9qPufPTkjmD3dkZ093fyYPQhlkD0GmIc98hqUPQfrqT34qak9beqZPYfwmT31hJE9rOSOPesdhT219pU9cD+ePQSlnj3cIqA9JCmmPZXQvD18J8Y9dBm8PWfiuD0Enp0961SPPasljz0/OIo98UKJPb3xjD3X4ZM9NKycPV5umj0m1JY96ROQPYjbhD3WCoM9zXaKPeS1gT0lj4I98aGHPcM8iD3ZTIk9AyaBPXxFfT1JGoM91QmCPRuqcD2FMnk9tbt7PZtfgz0FPnw9pvp9PY4RiT0QKZA9lzqMPeL7gz2F5pA9DXiZPV48jj19pIg9Tk+JPVTehT0NHoA9cnlvPf9tZz1ONGU9PI1VPc72Yj3qQE89CYViPQQ6YT3Aj149aeFRPfyXWj3v+3U9bYt7PRN6ez3S82U9NnJVPaqAZT2mlVQ9K7VmPRaIgj24xY09kYOIPc6zcj2sdnI9F66FPQBkiD02MIY9HwVuPU5jTz0Hmms9/WqBPWgThT039og92QOBPf5HcD1ug3w9jzN3Pf1/Yz2XhV09GYNTPbIKQz0LY0k9Nhk+PTI+Oj39GTE98SojPcdeJj0n9S49hXYoPbNVIz0Pjh49pz8hPfTSKT2/NBg9A+4TPTYcCz06mgg9ai8NPTdXBT0v1gU9jBAFPUa6CT36AwQ9wQENPayqFT3NZSM9rMIhPZ+mCj1hVQA9xugRPSB0CD3T1As9ELISPcaRFj0OfBY9HEAJPdliEj3CpQ49HzoOPaqMFD2Eqg09oPwSPSZJFD348xg9BNALPY6CEz2PCiI9VlsiPfQLID39pyM9SwccPWONEz2WHg09wckLPR1GFT2bjx09BE8YPSpxGT0q2Rw9TokmPfC3IT2/+RM9Xz8XPXDyHT3qxiQ9wyEuPXubND2uxys9AbgnPe+2OD2A9jo9WwpAPchSTj1VR0E95A8zPR8iLj1dgzg9bU48PT8rND3fBUM9EntTPQu5TT1oFUg9oAZEPX99UD3t20Y9ObNEPdKdND2TrEs9zlpLPeUqTD3eNEw9+D1FPQVVVT1P5FM98IRMPVerUT30KFA9qO5NPXr/UT2wt0k9zz1RPZrdXj1xP1g9m2pkPdrXbD0zMGs9RyV3PaAgjz0YdIQ9qqKBPWBJij2ivYU9clORPQ49kz2qNpU9icmgPdrOpj2VfJ89JIKHPWNBfj2BkoU9BeOGPSf9ij0kQZQ9V/+MPbHpgz2Quo4910ijPeGUrz0Av7Q93QCsPQsqqz3NurU9+7+fPSwAnD01hq093v64PX3S0z3tF889jvTGPXIfwz09ssU9bzqqPa4QnT1CKKg9uu6VPRDTgj3WjY09l0KePYyKnj0hIaM9LnKrPZXFrz2C3LU9qEbKPX9LuD3Wq6U9+R+mPX8Puj1SU8Y9mLXFPSAs0D0m8sM9fa+2PVOatz3oQrI9mMumPSyMrj1DrLs9b6u8Pc6ksT0vvrE9HZO6PV1/sz0R5aM9UGGnPfvTnj1oP6M9FtOjPaSCmD2hwZA9whmQPRIEjj1wB5k9H2WaPWzumT0FmZ49/kyfPZfMkT07A4w9cauJPVhMij0XXIc96quIPRVJiz23WYk91WiPPdubjD3Ur409U9eYPSYOmD38GJ493XOzPfAxqj0AHJw9qj6NPaE8hz3HeIk9bkGSPQp/lz1Eu5w9qcuVPVmXgD2wgYQ9s/CLPeDVhj1agoM9SwWEPb9+ez3SapI9CvSSPaIMdz3AlYc95W6aPcRJlT0j0o49G3eoPXhonj28SY091lKTPe5gij2K+Y49ooqNPYrQlj26g5M9XEWcPaHxmj2FZIQ9SXqEPW7ghz1Wm4s9cD6GPbhwkT1NRY49ZQKLPTTdjz0X3IA9hCiHPfK2hj3BLYE9xHaBPe7zgj1SY4Q9CPGCPTEmhD1DBIE9x86APXXiiz0sbYQ91v2HPTZ7hz0ki4s99wuKPSbHjT2B2ZU9qiWLPemflT33sp49rcOfPTtRiz0Z73o9ik9wPeT5Yj3aHWg9n093PQGsfz0NunY9JzdwPd7JgT2iD4I9xfJkPWmdYD3dSXo9UDJ/Pd2BgT3xEIQ9mpOHPVb1ez2UV2s9bVZgPRn5Yj0ijFQ9j9FBPXtxQT0JXEU9f55APQEnMT30RTg9qdJDPeAiQT0fNUo9VU1EPbAqTj2FH1Y97a5cPRzPYz3IG2g9S8lSPXMzVT0JI0E9dOsnPUhNLD2C7zo9Y8s6PZOHPz1XX0A9Z2dPPa+jRD0xz0Y9B15GPQcTMj11LDE9dyozPTCZNT1SYjU9KqUuPUijLT1JW0M9V8lEPZ1ePT3hVDs9p+wyPUOHKz2bqzI9oX86PVIkQT0WS0Q9OkNWPQ7OhD1g5O896PZwPiJGQj5g4R4+Zk8XPswHDT45xB0+w8oaPjM+FT4ojhc+XV8TPr2jED4+KA8+YEYsPidhKj7jSSU+b8wXPqKlCD5a6g4+FnwEPjEYgj11YAg9IKARPRoyDD12juk82orbPIZmzTxdKuM8hW/KPJhvsjxFT6g8yG2lPFcarjxrh6A8FimVPK95Xj0pBhk+8Os6PuylQz4XhUk+brY6PiY7NT4CGi0+xDIZPp7uGz4JbSc+T/kqPraGLT5/Px4++qISPnEAMD6g5CM+pjkKPs9kKD6Lrik+EMAwPiJMLj7e+CI+Jc4vPgmKIj5q2hg+7wgiPs2zFT7RIDQ+Mmo+PnusHz4mrBE+XOw2PnPWjj7vwmY+2X4sPqLwST5esUg++jJSPqlARD5ODTY+nc4aPlb6LT7APTM+msAyPhCDNj7CtjQ+xwQjPrS9VD6STmI+uggyPg+tNT6BuS0+TEorPh6vIj6gEDI+xtYTPkjVHD7ySDQ+V3BBPtmqcT7gXJI+4k1uPvz6TT4FLSY+XlZBPlyqNj7h/jI+DUkwPv4LJT54/jA+DhwwPhD3IT5nrTM+AzsLPudlGT46Fyk+F3RgPicTLz46zSg+Hso1Ph0UJz65dSE+h2okPh5QKT7tWSU+UyYpPv33Nz7dRTk+tyY7PkN/Rj5xL1g+SCg4PkNUOj4nDzg+jh1FPj3QLz4C6Cg+wAI0Ph5IMz7CjCs+VGQgPgl2OT4tMD0+JDgmPtOFNj6acUw+7X8/PuJ8Kj5qC0A+4UBEPiyVPz5g1WE+sNA8Pg2nNz4WDDY+wjYpPqjQIT6/ciE+BWsgPvl1Kz4I0DM+HYg0Pu1vMz58fC8+MZEpPtH8Nj5aqCs+xEbZPWGuSD1RbqM8lqewPCIPhjzfcZY8ezeBPIJ3vTwheX49srQlPgX5OT7Kwjg+iT88PiRhLj58ri0+AAIrPtQqJD7uzgU+D0noPYXsDj4hDiY+Y1IhPjEiKD5lViY++MIvPhEvMD5YzSM+Y6AmPneIJz7Cgio+m9MRPsZaED71Sw0+5AAaPvHNHT4HtiE+rcEaPnb3Iz72nCE+JqUmPmw6KD6b1Q8+t3YUPj0hLz6tWiI+DIQ0PlOyMT5CpjU+pQI2PlbAIT4AZxA+mc0QPm6rBz5NASU+UStIPq/0Jj7CjR0+cqIqPmgTKD7iOyw+r3AwPgjcMT5y8jI+ETCuPX9snD3ZdJA9aI2ZPZEElz2OmZc9kNaaPVk7nj36faE9IVGSPalUhT0yoY49VwyOPXtRjD1oSJI9c+O2PUDfoD1QEYk9Uh2LPdBonT0z7pU90POKPVAahT2VtJU9stKePf3lnD3vqpw9FimTPTPDkT10pYQ9asOAPZPsgz2VGJE9+LOjPfrIrj0E+rI9gGvOPQAeuD1k76o9o5qrPSpYjT1FyHg9UPiCPaywiT1iX4w9A4mSPRWXoT269Z497mqVPStaiz12bIc9ZTKMPacIjj0y84092leWPXoKnT3oqZs9wH6FPXMccz1EynA9Mn92PQg/gT2BCYE9nuaAPcVniT2OypI94rCEPdJdhj3V93o97Sp1PSToiz3EMYg9eWl2PeABbT2CjII90k6MPczNlD2Ph4s9zNN9PRX3gD0hZ1s9yLRMPQeoWj15Hl49xQ5RPQLDYj3POnU98kJ4PV94Yz1002g9KY5/PXs/gz1QXHQ9HoZtPXCWdD2Gd2c9nkhpPbG/ZT13wWo9yudxPX5Egz1aIII9X4CGPfOBgD2SyHc9j0lxPZMrgj2bV4M9wv2BPUW7Zj36BGs9qe15PaA3eT3WonU9P4R1PW7rdD3X22U9o0pmPXj0RD3+mDA9WoYrPd+4Iz1v+yE9I7sSPSmRGT1qGxM9QjoNPepbHz1bnCs9cvYoPUcEMT0fiC0983gcPeJWJj261ho9VGUVPYcADT0ZhwA9VWYDPddlED0vYRg9pAUfPYotFT3/Zh89YdsgPWa/Fj05wBk9aIMYPe//GD3tqyA92PAYPY2LFj2MiBM997IHPUsVDD17+gk9384QPQhvEj2DOxw9UIQbPbEZHD0u1h09ZiEjPTceFD1o9iM9umQUPQ5bCj0qohg9+kYfPb5hOj0RTi89du8aPaS/Iz2QzCs9IUMdPRMoFj3cEBs9SEMoPaQZIT01zxo9rD4iPQnDLz2wFCk9NRAnPS4XHj2S0B49OhUiPQnlJD02hBg9EDwiPaPVPj3saTc9YZpKPX4EUD1jGC49w6sjPcqcNj0hu0A9IdcrPZYZMD3iSUY9VddZPUNKUD1b4zw95oA0PSTWTD2Q6kg9AmBJPQjXTT2AgkY9XiFJPbC9RD3YGzo9HANCPXKSQj2QvTg9mWlBPXBYUD0/EFM9nDxOPdErUT0i8V49bSVrPbt7aj3p1XM9G6BxPdz/Zz2THW49EPRxPYrggz3gQIY9PF2APWXldj1ddnU9pR6BPbcjhD1dpJU9qGqbPdpzjj0qxJw9tHSTPVaIkT3ngYs922WBPZCnhT0+ToU9uFZ9PQD5kT3yF5Y9nlOUPbaBnD21EKA9APiUPd7HnT0QxLE9J0yyPfbAuj1PssU9cXzNPTSizT21NsE9oDnEPf1vxT2xcbs9GuqkPYTAlj2IAKk9RqykPaUwkT0+MIo9YbyTPVZEmz3SVJ49IZq5PX2cxD0s/7g9vZirPbiKoj15OqM97PKvPZq/wT3xfcc9hly6PXO2vj0H+709wrq0PQzZpz3eZLA9ydWwPSwHrD1VIqw9G+q9PVmtuD26rqc9qZeiPcnDoz1ONqw9HLGlPYegpD1cGqc9zuubPVjsnT3eIqc9oWyaPVSWlz1b2pk9T7CfPYNhnj06Q6Q9/bCTPVZchj2FoIY9Ss6JPX2lhj1we409c5iRPSABkz0siZA92sGSPftanz2k75o9YNGfPdYXpT2xnas9Jky1PVgMrT3V6ZU9qkWIPciyjj3oN449bXiPPQzZlz30+5g9JnGNPct5ez39aXY9fbdwPbA3eD0Je309qQGJPQPJgT0s2m896m5/PU1kjz1PFpc9xiWYPVN0kT35hY096reOPZm5jz3k/o89H6ORPWuggj13GYw97eOdPZp6oD1IvZw97CuSPRHfjD0Mi5M9eReFPcYQjj29Woo9laKNPSGDjz2/2Io9qmCKPcGFoD0qQ5g9Gd6JPQNajj0UE5U9ByOEPerNiD0AMIc9g7Z+PT/Shj0ErJM94ASWPQx1lT0QJI09gDuFPWC2kj3NSI89sKiIPSpbjT3EIo49LlyRPcYinD3fb5c9//eLPbvyhT0mdHk9IL9gPeykcD2P6ms9Z4xkPVvTez21EIM9QY2DPZFvgT3UbnM9V2huPb6QeT0fPIM92h6CPc7wcj2B+nk959ZmPR/DYz0n/149RZ9UPbCqUz3WSTw9dZs/PQpULT3J/y09urspPTLGLj0Z/DM9lztIPaLUVT3v+FE9nhJVPTLlZT2uZ3w9Q4tdPZArVz2jDk09dGk6PTCULz1qIUA9fvNFPZAeQT1YPz49+1hCPalbRz1vk0s9XrVYPQeCUT0crDQ9zQEjPeT4Mz3rQD89q/tFPbjJOj1oKkI9eUBQPSWyOT12TD892cUxPc/KMj16/Dc963Q3Pc4oLz29Vis9Y30pPSGVKT24B0s98yKAPTqg4j1rXmk+c3BuPp3iIj6Ehyc+XYsmPrGsHD627h4+lwYfPmPRGz5+VhA+pHkSPncNET7YgxE+h70TPoMaDD4T5gg+a6sXPqh7DT6eehM+LXPgPav2Cz1nkZY82ECkPNZhxDyCSM086JXHPAwV1TwCr8c8NWOqPBVAlzyFLYk8vIyVPN7vpzw+9qw8phu6PD9ITz3I6BU+MoFGPmXiOT5/QDE+aLYjPnd2Gz5ZbSc+wwQlPlGaEz7f4x4+wEQmPsbqJj7HMS0+/PovPgH7Jj52ABw++c4HPqMXJz6dRDc+8hksPgGUFz67DR4+IcAxPnFpKz7qCh0+/ssfPjVpPD7PrWw+UA6KPih7eT6HGDU+1VUzPrYqJj7PRyk+6LciPuusJj7NUTc+YmAzPk2HMz5ymjc+H/4hPtytLz4XpCs+MzI2PsCzLj40ri4+Pi4yPupKMT7aJTM+rV4uPnX/Nj4WWy4+5PcpPhqWKT41GTY+44IsPsBqJD5PCCE+FwMgPtMnKD63ODY+76J1PhOCej5iHyE+9DA0PgyKKj7aojE+NtA0PlBSLz6a0jI+LAk4Pnl6MD6PRSs+R/IXPoAgOD5Fs0E+QABDPtaLNT5EZCc+bcomPozHLz5qqS4+QcMnPlI0KD7N2jU+C3M1Po8NPj67bEM+bxVQPobqOz7DGDs+1rtDPqHeQz6wfUA+XFFEPqzjRD7QPEA+k088Pl/GNT7Mcy8+JqMmPvcdLj7Nliw+bxcmPiK6JD6y7EA+WmNFPqHROT5UFj0+8io+PjmuPD50Z14+IF5HPgweTD5IrD8+oCMtPmipKD55giE+IkQ7PnFhQT4kCzo+Za09PtNxMj53bTc+2FA4PmeKLz5LPTM+zik8Pq8aMz4KFs49SH9gPWWUZT0okug8IdaYPAJefjwRTVM8I/yxPBN1XT1QGrY944QTPlstLT7UFzk+vJk0PtprMz5/VQY+yMq9PWNPoD3jHcg9jRoHPujCLT4tbhg+SRcVPnw0LT4RvzA+GQw6PjpWJD6pMSM+ipUxPpA7OD4sTTM+vMg9PiRUNT7YDiY+gEwuPjtXKj6uZSI+JfAoPhzyUj6XqUk+mYclPhWAKD7/8xw+Lq8gPnqWKD70OSE+8hoSPu4pAD6/LO09dbMUPt1PID6//B4+gQ8gPq58Gz4AeSo+lVUuPp4TKz6iOTw+DOk2PqvNSj7Dw1E+/lKLPVnAiz2OmJA9D2aMPUU7lT2mxZg9w4OoPVKLmT2qKpY9R+GRPfgCnT2QLJU9EjeSPX64lz2jPqA90pyfPVt1mj2tzJE9jbeJPXp2lz2zhJg9cNmMPWWxiD1KkYQ9PK2UPU0Klz0rZZo9tvuNPXOOjD0DBp89FI6ePVV8kz2EC5o9SlqlPejMoD3D3Ko95IeYPdoaiD2yYoQ9L/KEPRxXpD2kOqo9SuKTPWJLjz0qtYk9rrSNPbLxjz2Ukok9iq2NPRH5hz2CbX89uQSKPVUplz1gmpw94F6JPYvPiD2vc3o9HdNQPajWVz3oo2U9SjBpPf3agT0ZHYQ9D4yIPd4+mj2T0ZA9RiaQPYbLkD0TtYk9ZSGAPU+9gj3zyF89eZhsPTBdbz1Zt349rCx/PfJpfT1HL2o9pd9iPRz3Rz2Yoko9ZS5GPRwvUT2+z189eZFrPXSYdT2dJGw9H1ltPX0KUj02tVQ9ro1dPUn8SD0Fq1E9HnFqPRJZeD1KdHE9oEt4PQCtgD0UUns9s+2BPcqUiz392YU9VdOCPTKWhz08MYY9tx+UPSTBlj3kvI09mFqBPerPaT3RHVM9OGpbPTxTaD0eBVk9IqNLPUJ5Qz3BvUg93zY/PdhdMz1D5DM9rqcXPfLqBT3PHwQ91WgJPZ9ZBT2a7Qs9pgULPdL4HT2wASQ9VsMnPeiNKj0mqiU9ljEhPQxnJj2fEh095s0OPQyzFz2yzBM9eOoXPXrjJT0p+Sk9Q4opPc+1Ej2x6B09OVcyPWW3Gj0xOwk9NLQIPeOOED0kyyg9zUAcPXMDGj2ezww9vPEVPS1RKD3pCB89LyIePQ7AHT2nsB49/SEnPVjRHj3rVSE9askVPZnkGz3pKxw97UkSPd2XFz00Ixw9J6IQPX94ET12oxo9v+4HPT+GDT216hc9mGYXPQigGj3/Yh89mjYdPYWFDT3z8g49ZCkUPWVJJT3nix09uPQNPQKjID14Uyw9xko6Pa/kMT2BHSA9yGggPXeCKT3JlzQ9TRpQPbkkQT18KCc9nKkzPVsZSD01pjw9nzhHPecwYz3NX2Q9dx5SPcDLNj3PFTQ90p4+PcegWT36+V49uLZaPQ+/Xj2xqFg97IJOPYbAOj0OUj895SFJPXSnRz0Tw1g9z7tfPRR4XT3W3149q7lRPQGBWD1q+2E9QttyPXGNgz1AcoY9AJF9PSCmaD2SZIE9NZyAPV8TgT3+TIQ9wRR9PRiaaz20tYc9E6WIPXhAjz2Y7Zw9JCGVPdM4lj2XSZc9YBOVPfLyiz2Cf4E9PXp8Pcp7gz2hNII9W793PUrCgT1L2II92siEPbs5jT3xOpY9QzaePQsMtj1WMMY9TCDSPZYyuz3ZTL49eLnUPTtIxj1FzK49LMehPVzVmT30Xpg9eaCXPXVQnj17IK09vzWePSYjjz1m1I894tWbPUmUoj3F0q49zITCPV40vT2dKbk9sLi0PfFErT18kq09PJSwPRh4tD2vRLk9ljvAPei2uj3sqas9TYWePbPvnj1qhZY9O5SgPdfHoD0/bJs9zHKnPYw5nD0elJ09mFWmPRtFoj0E4Jo9T/KPPf1Omj3zApo9UcyVPWVhpj1q/qU9hzKXPedtjj3SW5U9JXyOPdf8iT3bt5o9RUaVPdBlhj2ONoI9HAyGPTY+iz179o89uW+KPSD6jz08GYw91IiSPRC1qD1X0bQ9FfSiPaVrmj1s2p89FcKiPfF+nT0rpZQ9KX2PPVMWiD2JxZk9NkWqPSZsoT3B1o49TkaEPQHagT0bvYM9nL6HPavEhz1MW4c93GB3PUyRgz3Q5YU9cr+APax6hz39aIk9V9WbPUiNmj3MyJ09ifmoPVKosT2856g912mhPQUkoT3FVKA9PbKYPV8Plz0dzKA9JRulPWeFlT3854E93FqBPeE1hD22r4o9USyHPYu5fD3oaZQ91amVPdMsiT0oUos9G/mOPZOfjj2ekYo9or+CPVs6gj2jIoQ99jeOPbupmD322KM9IKyXPc1jjz2wb5Q9A4mOPeOckT1ZBYc9rweNPeuMkj1IWoc9bSJ3PRSxfj2fWXc97vh7PdhtbD2JmW09S3ZzPfR8dT1/S4E9q4yOPaTfjT1yK5Q9hpmRPZz0iT2dBIA9ict2PbYEgz00EYM9QbV4PXWIdj1bBG09dHpUPdULTT29w0g9ByRSPe78Tj3Tx049BVRiPeBwQz3i1zU9HJpFPePqQT0RcT89ULFFPe8eTj2Rr2U9+ph2PRJpcD3PoF89xKRMPd9cND0g8yk9kKcpPZd8KD29NTE9mRo4PftmRj2tbkQ9qz5BPTf2UT3Q/FI9QdlKPZ3FOj145TM9aok+PdgcMj1D+y89gQdHPcHqTz2YkUg9kEdMPZv4QD15Hjg9AQAxPWUPLz3V6y09ACEmPTpJLD2EWjA9sJxKPcVRVj1aF2Q9Km6OPatnFT7tKWM+92aFPmU5SD5tZiU+GfUnPvaNFz6MyCA+4OgiPqOAHD5GwR0+Vs4WPq75GD7y9xY+O7D4PX3RKj0C/Ag96R2TPecVBT7K4sw9llUDPS7bnjxgMKo84f2cPOZJoDyZ9o08dKfoPDnUBD09dJ88YzA6PDkEVDyulYk8EVCjPBgDuzzK/8Y8Zqi9PEAsDz0v7e89Fzk4PhPhKT4kDyE+aBEaPrFUHz4IQjk+UzYoPqzaHT4aURg+/NwnPnJgIz7MeyI+/94wPnOMRT6FeCw+vYUSPhXqJz7E7Ck+YmIYPppqGT5U+Bc+mnEfPjAcHD7kdCU+DCAiPt32KT6Olj4+SF2aPoM0nj5h31E+XoslPgyQKD67pCE+9FchPjfuJD7LNCU+iGclPl0PKj7MrDU+0uItPiFSNz50aDY+KlY3PoLNNT5WIy0+rnjaPcAAwj37dSI+2zcpPnL4KD4ruDA+vtI7PrwvLj4l+SI+RsAbPmI3Ez6hCSM+pPgfPq9FJT4GExk+aQowPsfMKj7fIiw+/Uw0Pin6JT4Uyiw+Pns3PtAzPD6Hgys+UtQqPhknKD4cRyw+5DIvPsCcTD7GXT4+UdU2PmzULz7jWSo+cN47Pu3uPj7YuS4+OHk1Pur7LD4a9ik+b4gtPvCdMz7kRUE+AE88PphZOT6pwTM+o3Y4PqDFID40cyY+v2EvPuFkZj4J3FQ+aFFBPr8fOj6AtDE+UhAmPlObLj43Fi4+JFE5PsW1OT5k+Cs+/3UkPlugXT7Z8Vc+cFUwPh6vNz7JtzU+nLRQPodlaj5nTE8+H2g2Pkc2Mz4zLkE+/XNwPmKeTj5/gjM+y9szPpg8OD4bkDU+L4MlPoCFKD6pHyk+gGY0PrwTRj6Mezk+eHtFPoAHXT4sni0++GH4PSbawD1rOn89bpG0PP8ZSDyUUnM8iNmwPQ0JND53P0Q+2XdDPulHND5xQQk+SizgPWlf1z3+sS8+ZvPtPbCWIz73yCw+1gcoPpsRLj5SzyY+GkUyPvaqPj4yADg+M0c2PlaVJD5jDiI+6h4cPurPGz79PiI+dG0rPiynFz4KgxU+y7BFPirmSD4lyjA+c4cbPrZhIz4BDhk+GToUPkJoPj6O6DI+YY8OPrtC5z38vBI+Q5M/PiFYHz6ODjM+EuJBPpY5ND73vjE+hpEuPv+yMD4fRzQ+B+09PiKsSz7FMlY+Et+ePbA6kz0/VJA9arGTPRuLkD0F6ZI9jVePPdovlT3JIpk9PWmWPc+opj1HYrs97ganPdZfmj0FCZU9UA+YPc0IlT3zFpg9VpmaPSBcpT1RAqw9bZicPbhTjT2MqpM9RcGRPTKtmT36pZs9e1OpPaLtoz2iWZI96YOVPcBClz063aA9IEafPZaOkT3mNog9rQeKPSwhmj3fypY9sdiTPfNrmj2IrY09CxCCPci9bz2afoE9KG2LPdTZmT1HwaA9RQiXPbaxlD0vzIw9AxKJPWEBij3xEIc9mmiFPQ/Hgj38BoA9rq1nPXTnYD0zm2Q9ofRiPeMCdz3H6IQ94o2PPc6yjD2I0Yc9BkqJPShrfz1t93A9vyJsPblacz3MkG89YfRiPQPxWD26tVU9dRNhPfFfbD0/AlY9sl5VPbo4WT2/o1k9dcBuPUzVXD2WsGc9SyZ1PbNIez32l3Q9cJhVPUyRSD29AF09rylgPZ1+aT1QHnk9rvGDPSzCdj1ipnI9lW2APbQEfz33wIE9+eBxPUDPZT2udXQ9G8l/PcEUfD1NGok97sGUPRr0jT2Wim89HYxTPd/bSj0JPD89KmozPYDfQD16Ajc99Bw4PU7TLz379Cs9uI4iPUdYEz02RxQ9vf0IPb2K8zz5Mv48bAkRPfKDET0C4Rg9yjknPcRLJj2eiC49X4BNPWjKRD2jIjU92VgePTPYFD1Eix892JgWPfclGz0kKCU9N2EaPYayMT3bHS89tFkbPSMCDD1anxY9IbkQPXsNED1L7xU9YDcZPRv9HD2fLCA97HMjPayAFz331Bc930wcPXfLNj2BvzA9irAcPWd6FD3TQxs9QigkPQS0Mj0qgi09W88kPQpzKj0uixI9DUISPQGMHT29UCU9pX0tPcmwIz3wfCY9QGEnPYIDDz1LUBo9j3IrPdRqHz2GrBE9GugRPTyrHD1gbyE9un0ePea8GD3eqx49eQUbPTtiLT0D5Ss9Gv0vPT3VIj3/Vys9l5syPT7vOT3t9zw98jYwPbnqIj008R89QZcpPXO0Nz1bpUk9vbFdPV5vgD0w64A9O3xfPTR7Tj0FUE49EnJMPSB5Uj01DXc9wulkPTfWQj1geDY9Zfo+PQbkPj2yP0E90WhMPXHBWz1fblo9sVB2PUd/bj2bMGU9LwxVPWOaXj3/J2o9OUR+PRtDgD017Ig928uDPWrigz2isoA9j/d9PeXMhD2Dr3Q9/vNZPWKNYj0sjHM9NOCMPZZBlj1nR6o9B9isPYbEpj1WyKU91BSYPRq0kj2G44o9lyaAPUknbD1qcnI9+8twPdkJbz0P+IE9/jKJPTnikz0Z3qE95sGyPdCiwj00nL89tX3BPdOyrT0da8Q9UxvJPfnOrz07oJk9RIyTPQZkjj3dg5U9ccCdPQRLmj3q2Jw9vK+VPZHZlz0hH6c9mCygPakorj3Ko8E9N6q2PeG0qD1qDbg9+mG5PauGsD0iLLE9fl2uPfCPqD2gR7E9sQ6yPcb7uD2fgK09nyGjPcFCpT0SPqY9g+ytPcecrj3FWa092/euPV4qrD0S/ag910qkPZCxoD1cfag9ExGZPYFeoj2Qbqk9XhegPSzlmz15PZg99faaPbT+mD3g0aU96QSjPUeNkT2GGoU9obWCPbQLiD1Kw4s9PDORPZYvkT3HgpA9GAmUPdiymz3hk5k9wPSfPd2rqz2zSKI9oS2bPTklpz1/xKw9mT+ePTV/jT06aJE93tyYPYdilz0TxaQ9dKyjPfTUkD11Xo09qQ6CPe/ljD0z3pM9dbiYPd0ZgT0QzoA9y52EPeBqfT2wKIE9/xeHPQKskT2Lk5s9kDehPUIzqj1wcpw9KI+kPS4lnj3h1p89ZsCUPaGolj3WkJk9nqmiPWw6mj14T5Q946KWPW2Bjz1dMYM9OwKHPYDrhT14a4Q9UxuGPfH9kD2pRZc9kbCcPYkvkD1NJJA97OmTPR3IiT3HUYI9m0iIPTqtkD1yX6A96/CoPa9/qz2h36c9z+KaPdUhjz0LbIo940GCPcDkfj2UY4E9BiiCPfvGhj3JTIs9Fj6EPV85fT0aOYk9MBOAPbw+hT2sf4099Q2DPfnYfz03Vno9Hu6KPcPhjD3puIU9RJGGPYiUfD1P42g9PkFiPeFBXD2ul2Q9KHpsPQHvaz0Hzl49Fo9LPaPeSD1iEk49+LJMPTHkTT18Olw9YIRfPcoxST00qTc9YONDPf5lSD1U0Eg9gJBKPfIAUj1MFGM9K0JPPQ+/Nj2PZyw9FYAqPZApLj0puDA9sek6PS+fQj0sYD89unZMPf/eVj30LVw9rjJVPVxrST1cC0E9AV9BPXhCST1UzEA95KQ7PaJkND3pTDA9xxJAPfRiRT35BUA9Po8tPY0fIz3IgSY9/bojPYz+LD2ZByw9l6osPcslOz2NJ009OL9oPdQ8az3rMIM94arRPdQBMj5nAFA+HWJDPtYQHz76ERY+Do0hPn/mFD7HlxA+DTgRPq4uGz4rrh8+b2cgPmB6Hz7krBg+WaEDPnPDtj2a4/Q8+GOUPJFjDT3Zydw89GK2PHFonzybEZA8UKWWPA5cpDwm/KE8MbC/PevaFT4vatA9fNeUPCPbvDyad8E8V2CuPMyasDyGYqg8i+z1PNYdqj0PVRw+0Z4uPpjGCz67dhQ+PVQaPkjbED7AqRc+obsfPh3CJT4SPjE+TFkhPjxkHD5WcRY+0y9HPlIqlz5ut0A+/U85PgP4HD6XgiM+kEwlPuusGz53qSk+FlQkPkrYHT5NzCg+C9ofPluGKT6TlDA+JL8qPrmCMj55HDM+ftQmPjADID5SDR4+OvsrPiYBLz7s8Ck+EnMvPibCOD6OmjY+dR4wPqLaNT7nTi4+ItM+Pie9Oz41Sj0+UboLPm68Ej6/aTk+Dlg3PrBvLz41szU+hxxPPgQuLj6OyyY+nsIXPv5LHj53NkE+9l96PsI2hD57/Gk+g+5LPo5tJj65Hys+lq4rPsnqLj73Ly0+1Pc1PiwaPT4lr0A+uX87PkhSLD6UyCQ+S+g5Pv/VKz4jZE0+8LEzPuv4ND7DtUM+Wo8+Pm1uPj7eHzo+IsM1PqC4Pj6rACg+0HkYPtv9KT5QICo+2b05PiuHKz6UdC0+SqMpPuW4FD5Qqyk+B704PqoiOj667EM+ITNCPjbCTz5oLD0+u8wzPv/BNz5Atjo+rE42Pp3jNj71/kI+GJQ6PsWGMD5/30A+Abk3PmhoOz4W60A+g5hIPk7hcT6XJn0+9oA6PhpeJD43iTc+GvhSPuKJPT6CYUQ+yfswPj5fMz7JfT8+99E2Pn7mMT4MySg+GlEtPo2LQT7N0zg+zbszPp4lMD7fWz0+5j00Pgi8OT6XaB8+UXG1Pb9CcjyqKjA8IXu8PLwkDz6pcU4+VPQzPvRRMT7I9zU+kBAyPnG/OT5lWDU+Ps4ePn24JD6rOC0+2vxFPtWfMz4+sic+jLcyPn7GNj7eMDE+zcYlPgJrJD6lUSc+4VwsPqlHIz6J2yM+xCUhPsahHj7KfR4++dYvPicwQD67rkg+M4E+PoZFLz6I1iA+AFccPtItLT5EZzA+zYkJPsBJ2j26XR0+W2M0PlvlHT57dE8+H4BtPt4rND5TeCg++XMtPnzTJz6sDio++Nw9PjJxSz5+Cm4+5WGdPSLMoD1Pf6I9GwGbPQblkD23z5I9JQGTPVA3jz2+ZJg9qZiYPSWroz2GV7M9ql+3PQUTmj3vCpA9/36IPR1ylD13DJo9nomZPflbpz3u15U9l9eTPeG7lj2xG5A9NSKWPS6+nT3yX6M9xd+QPbCGkz1BrJk9hqmWPZ03kz3jaIg90LN5PZdzhD2lroU9C5uRPf5gmD22EJk9RNWFPT89dj3reHk9HN+EPSULgz1PDYA9IW+SPf3ijj3cI3898PyEPQfVhD3S+o499DOOPbu6jz2ESX49+sBhPVgfcD3X0WI9XpdNPS/PTj1ax089I6VfPcc+XD3lKEc9KW1APWkRVD3MqmE98s1ePVPkWz1DY1M9PWFUPXIzaT3NQlc9KMBVPcW6XD2XlWw9mktqPXp1Wj21+1o95iVvPUMUbD337Vw9eDFrPe5eZD0WCV09r6BTPYI2cT27nnU9gfB4PaELZz3m4Gs9ybR8PRG6gD3BmYc9SVGCPSAadD1juYY9gYRwPT/DZj1WImw9EYhkPXouZT30FWQ9wfpqPRdSiT3sJ4E9WGN0PVlDaz3ZDmQ9HSs/Pd7gMz2IlD8921dGPbgBQT1dcUA9lEVZPa8ZZD3aeUc96WwAPc4w9DwUBfs8jAMJPYw6Bz35XRA9+DkZPXvrGT3Ethk9/C8tPSYQLj2vGjU9nbI9PRcALD0JcCc97AUWPSE4Ej3w0RU9cT4XPZi6ID0HxCs9hRsfPQM1LD2WlC49D6gSPfX7GD0IqCk9AiMuPXtaHj3dhy09SZlCPYOUJj0EPyc9MEghPSWkHD2FGzA97cY/PQECOD3TJzM93B8iPaM/GT2t6Bw9XbshPdA+IT1enio9HvArPbAmKj0SxR09lhoTPdHdKT3oRkI9HWAkPfEGKj0YjTE9yGIpPesnJz01dSM9xdQpPe7xHj1RDhE9bJ0TPU5aHT3ASzU94d4oPX0GKj1jTT89WME9PRMrMT1GMSg99pwyPTvKPD3NDDw9fkk+PfU8OD2h8Dw90ngtPa/hOj1iIUQ9XcI+PRoNLT2Acj09F2xXPT2NYT28EGE9ceZfPURzTD0DmzY91/NHPSZbWj33Gkk9lH0nPX8bLj2Qazc9qbU5PUWESz3nKVU9ej1mPUrgbD1WwXI9xbx1PbFIcz0zGW499d1rPc/2aj2P43A9G5V9PW9+gD2YJog9oKh9PR1CiD2OvIk9LoKLPSuBiD1e1oA9DXCEPaJRgT0El4A9MTuBPVmJjT0pbaE9MAqXPYf/mT0LxKU9iASdPbBBhD0hync9CH6BPd4Wgj1kEYA9XgeBPViDgj0crIA9dV2IPYBSlD0WFLA9YOC4PbKdsD28Cp09NamgPT+ioj2I25g9m5GVPf5rkj3cdZA9ASGUPR2Fkz0lxZc9Ou6KPZGRij38fJw9TOikPS1SpD2XsKI90wqlPdGDqD0p1r49CpG1PWAnuD1m1LE902ChPSYxsj10QbY9A7ezPc97sj0zN6k9LuKqPZXQrz26brE9Rv2qPdqXoD3EJ6o96W+oPdXopT1tObA93W+wPSu5rj167LE9Za6xPaKppD252Jw9V3+fPSQGpT2fibA98qqrPQD4rT0UO6c9LnSZPd7yoT3zmJw9ylabPdnGkT2+ro09rruTPe2mlz3lMJs9knSnPQYNoj0lF6I9472ZPdSBnz0gWaw9/5mkPQC7pD15z6Y9YsqiPY1Plz1zXJo9dkCXPUZrmD1O/5k9jTGWPacNlj0RxpU9B96WPd1AlT2C8I499suRPZ+rmz131JA9EmqBPW2Dgj2jo409KpuLPQYHjz1Wm5g9zimcPRf0mz2m1ac9xR6nPRd8lz2TwJE9OgiUPaVTqT3HVqs9fkCYPWonkD2VUZI9FJWkPfS4nD1zipI9UFOPPQ0viD3znIQ9WpWHPSYaiD0iY4k9y32QPSy+lz2kmZ89u62iPWiloz2MS5497gGNPXQZjT29C4c9/pyVPfvenj3I+ac9jIGhPfG+mz28r4M9l4hzPbw2cT24im89Fr52PZtHgz2ia4Y9xF2EPTpsjz1Fxo898ASBPYvphz3/YIY9HMaDPVFThz0gDIk9+raLPaf6jz1NxIA9c+6KPQv9hj0XK3Q9xQFuPbeYYz2nsVY9wUBXPUd8Vj0iy1c9YcJKPdYwRz3P0Tk9A8MzPTplQj2JClw9bx9lPZDwYD3RN0w9JY9MPU1HVD31k1E96HRYPV7XTD0/pk493KFFPbNyQT315EI9VJo8PSkXNT0kpTQ9vl0zPf/OMz2ZQEo9TQFcPXWaTj2Gwz89Wgs9PQLTQT2Ugzw92Tc+PeyGPz1C7z49NCNAPfnrJj3j6jg9XtpCPZrqPD1YnTQ92F0yPQG+Jz3EYic9YhUpPaggLj20Kis9JYM4PaPrNj3idEc9Ij1MPQFNQz26DFU936lmPb/Ahj2Q6ug9lQlXPpFUVj4IeEM+L/wgPmNeGT5paik+71wyPsejKD7lxBk+HugXPpCRHT4Xbxo+0V4VPnfTHD7aDxk+S30VPvwnBD6O3bo9f+z9PFjEcjwdwZo8ZNCaPA9hhDzpxYQ8moGcPA2CnDyjCbE8IUwBPcWJID3xsgk9pcO3PBp9vjy0mrw8KYSwPDfcpzyFDZo8cqW+PdhLWT7UcDI+YYgRPpY1Bj5wqBU+0MkdPiGhFj56GBk+7DQoPtR1Lz7yCjA+0/0uPh76JT6yeRw+cUcWPtyJFz4dxyY+PA0jPnj+Fj6pjiE+P0oePsTGED735hQ+2jkePqSdIz7/ZCQ+6hMyPkxWMz7yxTI+ftQePoYfIz4c2io+Sl8tPsSsLT6S2CQ+99kvPoS/KT7t5Sg+m8ckPiIvKj44DTg+rI4zPkdQLT43kDY+v4w6PppANT6JUTU+w0smPpVlJz58Bzk+IV1IPh0mOD6O/i4+5WhJPj0xMj5ioSQ+/KIePgTFEj5u/Sw+ZcxFPocESj46qZE+5ZeYPu+CQT7tQzY+WoQ2PhcKLT4QZTc+UTozPi3ZTD6gljY+BgFFPvRkTD50P0k+2ns+PviGPz68zkE+yIEuPn50Mj5QWlQ+6tlLPrV2MT7IQC8+xHEzPuqUPD4Pqy4+MVsVPh6mMD47bj0+G5I7PhrqOz74UTQ+8s4hPgOJGj4p9Cs+U9gzPoZcPT7Puiw+lH5aPtExQT5oki8+fxk7PhX9Qz7olVI+pR1DPuG+Nj4H8js+owU+Ph5GOz6S7DQ+8K88PlD/Pz7OizE+FGVvPhi4fj4L82g+/vtQPpWuVz4wQk8+O6U7PmFSOT7CnkI+CosyPs9SLT7t+DE+GTo4PlkcOT6Bnl4+xNhXPiexRj47e0Y+aMVBPgNPRT6tVzw+Je04Ppk5Qz6rkSw+1nAYPuYhzT0ASAw9qPwePNCgtD1Uzlw+OAdLPiKXJj6HZDA+Fsk7PsUjIj5wpDA+jsdFPnAxMT4/ykU+9zJePr+MPj7UWTE+7agjPrucMT5N8zI+sTgtPhlGIT4vTCY+CYgiPsxNHT7bqyA+dw4iPgRfJz73lSE+YXQwPishRT5/okE+AbYyPu1TKj4DrTA+QnwzPm4lND4K1zw+AqZJPkFgRz6/azY+4W8tPqGMJj5aQ08+9HdcPorDOz47Fis+lWUpPoE0MT7vsjY+xc5DPuHPNj6dUE8+mZ+TPS9Tkz1cKZo9SuqTPea0jT35paE9d2utPefPoz261qE9t1yaPZhmnj2AyKQ9BMC2PVjznD3oz5E99cCKPVuShz0bxJE9MNyIPTGsfz1iaXs9J7uLPY90kz04cpQ9b/WXPXi4pT3jrLE9yI+gPXTbmz3SJ54921mLPSI+fD2XqoA9DEqEPUQFhz3iWZI93oSfPfnJnT3n8ow97118PQx7cD1h7Xc9hHiEPXVAhj1yVYo9rleVPRQfhD1DgVs9rspmPbPsfD12qYE9FLRvPcpUaj2yeHQ99nBVPeeSVD1c9WE9OeVfPbwcVT0gMko9ZGw9PVLDOz3dmDg9l8xEPU+Naz1dWn49R3lcPVLhSz3Gim49Qsp+PfkHgT1fvXM9GWBjPX3XVD2+g1s9VW5UPTYBZD2Dl089HfhtPco1hT0jrG89cxJnPb5gdT3LTnE93C1oPbaQbD3/Y2E92L9gPY0Tcj0bq389T7WHPchNgD1eBHQ9fx1sPZ3faj093XQ9obhePcRAWz1F3mU9H1l+PWGdhD2kxWQ9ZiBiPRunaD3alUs95fM0PaiHPD1JJTc91w85PaHcQD0lf0U9+HZGPZj6Tj3FCEM9AtcrPTA+Jz3Lahk9Pb4UPWDXFz1BNQw9OPIHPUYFAz2G3hk9EoApPeEbJD1HvSg9ZGs5PQflND259jI9X6oxPZt3Jj1txCM9OxkhPcBgKz3nXiQ99zsmPVemMz1aEDk9nOk7PQOAQT3pG0Y9amVBPZ0rNT0+jUo9QnJMPRnYOj1IdUE9FFs/PQzHKz2ChyI94XwiPZlhKz1IWjg9rr0vPVJAKz2XoSM9ekMhPdM3Jz32Uyc9Mm89PTMgUT2tGDs9s6dFPar1Mz2tvCQ9YOAnPZhuKT3ROiY9TawyPXKFOj3SLzA9YNItPViHIT0kric9krYlPYosIz1+zS49PlwqPTFkIT1tOCI9QuY3PdCBLD04uyY9a9c3PWXnMz0AgDQ911w/PQI5ND0aqz89bWFHPfV4QT0/ijc9wec/PRGEOj3gnjk9w3tBPfZ4Rz1WOz49z5lGPT0LZj0JdmY9AeFJPSAENj0KbzY9r7k9Pa5fPj1U7SI9MIsrPVtRPD3sBUo9VQpOPTc8TT1eZm09rzNwPT7Bfj0/z3I90aRvPfyQcz1JjX49hIB5PanyeD1GWWg9BR5rPYHcbz1FknM9nj6BPQvJkD3Onpg96H6fPUNQpz1J4K09hvOaPWDckj2kCog9k7yGPQjZkD2hRZU9fzuXPVxEmT2yJZU9tgCZPf8VnD0TepI9bPmKPe1SgD2XL4Y9zJKBPRIciD1HNZI9BBGEPbiEij2d3ow9Cfp+PXnTjD1WAaI97n2pPTpWsD0y95w9fhuPPbWilD1P4Ys9rbKKPSxyiz0ekZE9xDyOPfrQkz1xQpc9uzSiPWlzmj01oqA9NEmpPZx9xT19utI9cPfGPcX4uj2l2ro9a0CzPR+rwj1Di749/larPY6aqj1Qp6Q9ApeqPYD9tj1Wuao98xauPbFdvD1E8bY9J264PfDksz1DFrM97bSuPcAJpz0sVaI9MAybPcbimD0oiJg9NRaYPV7SnT3T1549Z8uiPUTQuD2OL8M9GUy6PRWduz2ao7I9ax6fPZ4ajj0/E489HyOYPTSmnT0hVKk9qS6ePUUOmD2i9J89R4OZPWCxnD0smZ892sSXPWklnT3q95I9AGiPPZbZkz2BMpo9Ej+dPSxXnD23IJ496rOfPTM4nD1PLKY98GCsPSNcpT3wOp89p5WjPYXInD1YAYk940mNPe37kT1sepI9dMCRPbZ0mj2LnKg9AOmsPXFpnz2zG4w9Z06FPWFnkT1+jKQ9WpSiPZT9qD1u86Y9useiPXbjmT2ALqY9EtqRPY9Niz0W4Zk9z4iYPYDrkD3l2ZA9+tWKPdoilD3HwJo9odmePbClmj0GkqE9LnSoPS/kkD1Tz3s9vnqKPU5wlj2IDpc96guMPYSphj3PW449gRKTPUjUgz2WYWY9XYpiPb7PeD0nSHY9wDV7PamibD3Hq4M90fOHPdj8hz37u449646KPSRxeD0nV4Q9R7iWPZSKlz3qIZg9VYCVPX0fjD1LiW89WQFmPVBCaT204GQ9Fe1mPSlDeD0/Y3M99fRePb5nUD1EnVA91c1NPfUJQT0UTUE9cvxRPRjSaz1ClW09OkZZPZzCWT2Fs1g9w0NdPcGbSD0qmzw97E9BPdUgRD3Iqjg9odUhPX9JKj1kVSs9ioEzPUlsNz3CRy89Rk0qPZ79Lz0uZUE9hzpBPVF5LD2Zfyk9PgA5PbgcOD2mmzA9CilFPSN3SD1qt0M9AeQ4Pf+PRD0j21g9iDxdPccYRT12Nzw9bGU8Pfz/ND3+VDA9ahwtPd2tMT1cSDc9VFE0PY6fPD0Rcz89PPVAPasoMz37K089tIVNPfF+ej2u2Bs+BlRtPrjcQz7+o0U+mQocPrB9Iz4R6SU+4pkmPvhaHj7/vhc+CsoSPi4pGj6C0iA+6UMYPuwDGz6Ucx4+NzUdPmP/CD6IIgA+T6zUPZ4UHD35sVA8EDk2PC2MXzx5AZE87MujPFJdmDw1lKU8xTG6PK+2zTz/qKo8/7yZPH6VmDz2xKE8T/2mPOINpzw64bE8TZn6Pep9TT4gVns+mnuIPjBzQT4d5Rs+rbQUPh3gIT6zSx8+YAknPq/mLT5PtTs+CwxAPrS8Qj7nfCI+2RQcPtwSCj4vGhE+L8wQPksVIj7S9VA+L3ArPiuoHj7HTx0+DAorPu68Lz5bLjA+laooPuWmKz4FWC8+gxkcPqbEJz4MHig+H1UmPnbzJj7Q4C0+XIkcPtueIT45Myg+DI4iPrAtKj5TqC4+J8wpPoVHKj4Jmi4+f4koPj4ZJT75gi4+7YEzPgHmID7hCTk+AMQ5PnlYLz67iDI+ha85PqqmJz4QDSs+eBM4PurWMT5CPDM+V6UePq8EFj4CVTA+NO0yPm0WPD5MDkM+ZgRIPmJ2OD48h0I+4G8uPlzTLD5K9kI+9AlzPgtHTD5N7D4+LHI/PkBNLT4aTDY+0WM7PlUQNz62wDI+jAc0PtRWKz4V0zw+nDNHPv9fKT5UoBY+ghsuPi1ARz7dNis+UZgcPucFHD7ADDU+KRYtPh48Jj4ELkY+MUU2Pun1Qz5lvzw+zLNEPlHcMj71LRg+mw04PuP+Qj5sJ0w+yLhGPilCRD6wmEU+3ZpEPsvYKT5nICY+WEMvPoiOSj7O/zY+yA1JPsT0fj4YIno+1IZzPj4hfz5rIG4+VGBPPmQ+PT5nZDY+Oj9CPgyqTT4teSI+7t5APqhcWT4DQUg+2CxIPvLTSj7Fo1g+W4NNPqEsOT4v4jo+bWk/Pu8aQz7EvUE+jhAvPkNgKT4iUxE+70GQPYQv9DxHfvU9l2lhPizfWz7dakE+YokwPp7CJD4LaUs+cVRiPlySOT4MdTI+rdY1PoSeLT4W5zM+I9A6PmQRSz5kLDQ+cqMpPlTrLj6H5C4+130pPnmKKT4ukSo+4NYqPt+nIz4Z/w4+qLsRPtufLj4DLz8+0sMxPsivPD6TmTM+YpQvPm3+VT4jTmY+gnpePoEiUT6NnD0+Y2U/Pnj9HD7Yzgc+1RU7PucZKD4u/Bc+S8A4PqHHSj6SskY+DxdEPjcMRT5HhGo+/cqWPZ5PlD2SvJU9A26dPXiJmD1glJo9qVWhPXaZmD3OhqI9TjCdPeQwnD1CaZ09bRymPf00nD1AvIY9luaIPafpkD30t4s9Q7qHPZBsjz1RI5g9SVmaPZUOkz23IZc9VgWRPUGikT1HH6M94QaYPVcblD28S589oR2iPfWelz2h3449RtORPXuXkT1NEZI92QKTPXeTiD2D2YU9T+KOPdRHhT0FYGo97jV7PQXshT0pCHw9ArZdPZxLXT2//WM9ZMJuPWhwUz2AsWE9bX5cPd0xZz3RF1g9CndUPZmebj1cV289sJx0Pdb1Zj1Z9089boNBPTOfST2YqkQ9ptE8PY9uUz1VNGs9MLRlPSN6Qz01BFo9kFdjPQesXj35Ik49O4A6PavjNz0u0Es9Gm1WPcdSVj2WplQ9qO5aPQ2pXT3hZmM9IXF4PY12jD1cin09tMlfPcquZD0yXHw9leaLPd6heT095IE91v1/PUVMXz2QFls9TYhiPcEzWz0VPV49gHNXPa7yUj3EmnQ9JRt5PU6IXz2zWko92+ZDPcsUMT2Zmik9X9QpPbJeOD0A6TY9amk7PUHwQj3DEz097U07PZ0dMj2FIRo9Z6ULPfmzBz3UCA898uIlPaIcJT2OvBk9XwQWPe3oGD3zRiQ9rdIjPRIEJj3qHzQ97hc6PTjLNT2hzSk9K68pPZ48JT36GS89xYhAPZHHQD2xdEk9gU83PaCJQz1bok49sdM5PUtAWT3XLVY9aSdTPfF1Uz39MV49QTBGPQ+UNj09AkA9E9ctPWSdHj0k1Cg9sw8zPVtaMz2SaSc900QoPa2gLT32qjU9pRlGPVO1Tj2pC0Q9v1dNPaKkTj2o8UA9djM1PfAiOT0Qojk9jLgnPX+vLD3mIB89T1osPVReLT1Tqy49VAcpPWysJj2B9Bw9NsUfPWriJT0nOzI9M0w3PQl9LT0ZICw9wTw4PQakMD0SOTA9qg9APcJeQz3f/js9g39FPYAfUT1aOlg9NVNZPf7tTD1NKUE9vdM0PfcdSj3aJ0Q9QZUqPYkoRT2xqlI9xOBKPRYnVT0CZEc99Dc1PTGwNT0EykQ9AHk7PfPZMj3erzQ98Ho9PVugTz09p1w9fMNOPcjAUj1n5Ws9Yqd0Pd8RZT15enE9pMiBPcRmhj1pj4E9Udl9PUXzdj3RA4A9bYZ+PWhcfD0odYA9Z4lyPWNRjD2xI5Y9eAOWPQtLnj3KJpk9qxKOPf5Viz2NEYU9VHmBPcySiT3rIIo9JaSLPRNNiT1FyJE90f2gPZFFnj1XTKA9LQ+YPTMpkD03sIs9UM6FPbE5kT0J3JA9Nu1qPTXxZD2xa4Y9nr2UPeeunT2d2ps9zLeMPV8dfz1++mM9xPBlPYD3cD3LzW49ojR2Pb+Qiz08ZJY9Ft2cPVbDpz29X589g4mePSE2pj0aBp499FetPXIQrz2Gzr89GFnNPQiQuz3ym689PBGuPZUFtz0ThLY9uAS3PbkZsj0nirE9PQG1PcQEsD02fqU9IxKlPdVDuT34Rbo90gy3PaUouD2LZ689jLSwPVBDsj3qa7A9kMulPaBqoD3CXqA9tgqePQKjmz02Gag9ZB6/PWijwD0s2Lo9LJi7PZFSpD1Srpg93L+RPVPOlj3Q64Q9aDGQPXkRmT3obJQ99a+RPbtalD3Yw5I9AECUPeTvmT0GzpQ96sabPTaQqD30p5o9V1qQPSjGkj0PsaA9AtelPQEkqT2sS6c9sAGpPWfCpD2IWJ49DLWnPfj6oj2rG5s9OC+UPdMWlD2BnIg9G+WHPZBNij0qVpQ9K8SWPTlOnz1s9aA9ci2QPcRqfj3FJXc9LuuCPet0hT1DrI89/1CSPRzloD05/6w9r0KuPQezpD3MeKc9yHmjPYAimj3ltJ89Aw2pPSJOnz2iz6g9hKqVPW95jz1/R449EgGUPZsXpj0Kgps979yGPZtdez02kIQ95o6RPe8KlD3ZSZE9MYCTPUuokT0tn349x8lqPfbJaD1njW89rR5wPZISfj0pq3w9cbNxPbArfz0+7oQ9yMqFPfQliT3xt4096Q6KPccqkT0r8J49hnSoPbngmT0VS5Y9+FKMPewDaD2PQmk9NKp3PduHej2Co3s92HF0PZSUdz1efGM9YRFYPZEnVj29wVI9sJ9NPaWZST1U41k9kOVkPTKTZz0w9ks970E6PfGzTD0EJUU9e+syPWjrKz3Gyyc9rudAPfyuSj09Ljc9DH0oPXC9Jj1fqjE9T0g0PUmeND3mdTI9R5Q1PS3BMT3ojTE96pA2PYpkPz3gjDk9RdhKPdOFTz336z09bqQ+PRb5Sj0iGUU9waE/PU4LUz3lgGE99UhhPZsMPj2jqjE92qA2PbOLKz0kJjI90uQwPYBKKD37mi49WbM5PeH0TD14Hls9Tc9SPfkoRT257yo9f8kUPfbsOD19Kso9TCYtPufwOz55t2A+DblDPjXmIj5VqzA+tT4sPpAkJT5y+xs+uIEbPkgUGj76Jx0+0VsUPpfwGT67MiE+P2YiPhtBDj7i3RE+A7oJPmn48j2YDEs9hhw+PCsdcjzmWpA8XDuYPNZRqjyRNao85PGePKVYlzxXsZw8uUyhPF4hnzy2zJU8tYCTPNRmmzyqGDk9LncXPltZSj4maYM+M/hxPry2aD4hgiA+WVAaPniODz6PPBg+HaxcPsYpPj6Osk8+9Ko4PoRqJz4tuBc+4PAUPgSBFT6lihU+/LQVPg0KJD6SyS4+4fEjPiBGFT5UdCA+zzosPgjSMj6n1jA+oj8wPgM4ND5ssjo+xDc5PgIzMT5ddzs+e/MsPsPPIj6zhiI+DWkYPg3jJz5P+TY+XwIxPmujLz75AS4+T0IwPgFmJD6ECDE+YVI1PrfvKj7NXio+wtc7PgO/Hj5tuDs+2nlDPjFvOj75NzA+R9AnPnW+Kz6MOko+ucRDPhXtMT5U/SA+r+oWPqlROT5sNig+ORkvPhBoPT4o8iw+PGomPqnRJD67Ghg+DP8yPuXdWz6Ej0w+YdNlPiuVYT7XwT8+F1s8Pq8vPD61Yj8+O2k4PpuCNz69TDs+6zcuPp8VMT7oHz0+zwsrPnBzHz51kyc+HBg/PgxhQD7V7CY+3/gfPvEhCT422i0+NNslPhV8Mz5l61c+PT82PkDoFD4XVyI+7OcoPo5XMj7TlzE+BpYvPsAVKj4rQy4+ZcAuPgU/Oz6vPUw+3bVXPiguUz7UWjk+2BA4PlUtPD6GA0k+0AcyPunfNj7gclE+RZ1LPhOYWT71eVU+UbdFPh7zMz4s9ik+3/c5PmXiPz4fujs+U2IfPrRpNz4r3Sk+uA0xPlksST6VPVM+Zto/PlcbMz5zySQ+ADEqPuxvLz7BSyk+QEkkPn0wKz6p4CM+1hAjPl6AFD6l8jg+0nNcPlQfRD6LUS4+rXlCPjT1MD6cVjU+TA86PqLFMT6uFi8+1D8uPpKNOD4mcS4+XYgkPukbOD4VRTY+jAc0PmAoOD7f9zI+nuBFPv+nOT4Ukyw+bIIdPkjALz4O20U+hnQ2PjDPMD4520c+qfk9Pgk4KT5fIiQ+ipc6PjVqPD6HKTY+KF44PsfkPT4X/zQ+bk1GPmjXQT6aGjI+A54yPl8tFT7LCzc+Q+FLPo6LQj6hXTs+qA9CPj2oRD6OTj4+vb2dPQ/ulz1UP6Q9eqGUPdnbmj3o8pQ94TCgPRyHoT2eoKA9f12aPRhrmz2g35U9+NuaPZzdlz23T5A9fs6LPS6glj23Ypk9wECUPZG8mT1/55Y9+dSJPcAoez0jm4Q9c4iFPS7viD1ujp490cObPaVonj0ez6A9ouGVPew2jz3GbYk9R66WPV8bmT20hKM9HASoPcyCpD1cfZY9fbiHPfAciD0bSYg96y1/PYH7gD2unY09cOJ4PbCHZD2MVms9pFFePZh8Vz3km2Y9OIt+PWgsbj0rck49nN9RPX7AYD3ruWg9IoJnPVcnRz0oY0I92VFEPdd8Rz2Kj0o9zVJJPXOrZz2If2w9lXVTPRAqRz3DsGc9PcBsPctSUj0wGUE91QFDPQFkUT3cJU49hgBHPaUJRj1P+lA9ohJqPRNdcj33aGM99Op7Pd+AcD2HMGA9MqVRPaRyYj1MxYw9mN2BPcwCVj0LTFc9PIxGPd60NT3oZzk9SUdRPT+LXz365k090L1WPUywVj3UgkA9ZJhHPR6cUT2kM0E9j4dRPZ+lVj19Wlo91cNNPY0fWj3U+k095FtgPavXUj16zT89MZxHPfXjOD1pvi49mHoePZmhEz3v8hI9p6IfPTmSMz1YqyU9LTMePeWmID2fjzQ9aOIrPfvWMT2MMTw9E78+PcvfMD2+qx491TMrPQ7qNT1QhTo9rwZUPSlMPj1cwD89oQcyPSlfPz1hSj09v0ouPUcpOT2g4Tc9SFw/PYRfQz3fEkU9LwI1PUC/Hj3D9CQ9CUhAPVDsMD0wmiI9vgYePbgrNz2lVzk9JCQ6PXLNOz3s3D09+6tTPZFRVD35gEc9keJBPfoCSz0dDUo9UJM3PQpuLj1PKC89fr0tPX0jJD1j4Cw9U3wnPZx8Nz23NDA9jlksPZ2qIT0MnCU96p8VPYlvKT0WS0M9NKVGPXtiLj1cbDg9+g82PY4JNT1Xhkg9WNE+PcqWNj1KvkU9oVtKPRLmVT15jkE9XbBLPUfGST0NVEg9hT1HPVBCUz1d6zM9TJA3PejQRz23b1U9rGldPYgyXz3cWkE9LU83PXf7Lz3eTj49CvpWPQwOTT2FX0c96QFAPWNTQz1Qa1A9GnNXPbAXSz2sm2U9oyhiPUMRXT1myF49mMVrPZ9Kfj2i3YA9WI2JPVWEhD3j9IY9FauGPQvMiD37g3Q9uF59PQskjT1LBJI9ejOXPWl7lT3X4JM9PZ6QPcXxmj3sXZA9xXl9PSIngz2PfYs9Zg+NPa1khj2U3ZE9U6WQPTxumT1hPps98PyXPVT1jz1bO4I9PT2NPb62nj0ksYc9M/BtPbAHZD1OloY90fiTPVQvgz28jnU9gBJmPayWYj2ONm49GD2BPR6+iT2Jl409zneWPVSFmT0gNaY9X1mcPbPjlT2oHZ49xMSePcc6qj20AKg9eWuxPZ+kvD2fPbQ9Ho+pPTnStD2BZrY9V3iuPfkMuT0BPcM9/hCuPX11nD1gcqE9OxiwPUZRqD2p5qk90LqsPTkmpj1oN7c9bJi1PTn7tD02Arg9Q+m8PdAcwD3KLrg9h4u1PX13sz3TWq09sTWrPeCasT1Pxro90he2ParExz16OcA97BqxPZPhnT2HvZ09ycuVPY9LoT1GFJM9k9aaPbTumT2+l6o986e5PQAmsj2TdKU9FxegPXSLjT21mo09cmaTPRxSmj0CSqA92YOoPdH1oT0rHqU956+sPTDGqz0y/Zo9in2MPVGckz3sKZ09MKGZPV7roT01C6k9y2ygPTbEmj24A6I9102hPe3fnD0XX5s9zAqUPdwziz3ViYE9QJKDPXPIij2lbog9IEiUPVLalz0EZY89w+COPZ+hmT3GIaU9VtW0PbcWuT2p9609kW2kPfNkoz2DjZw9BAWhPeKGjz3RVY09rI6UPbxLlz3rr5A9BEGaPVjXlz3ni4g9ldWAPd6RjD0JPJA9gRaVPfT+lT3cno09l7qIPXjXgz0uHXc9+h54PX6ogj3bpX49Wul4Pa1AgD12XIA9x46DPTPnhz3Ew5U9/zuXPdI5kj0ex5c9FGmTPQoMkT2yKZg9NaSMPdFefj2h2I49IMaGPUdXhD0et2w9CDRuPR7ggT0063k9z3VsPV6kaD2MuU49b0JHPZc2Vz3IxlY9CzxUPUIPVT0YCFk9hFFXPW5zRD3QiDk9c4UzPUjONT2sqyw9HxQlPVP7Lj2l5yo9u6guPTD5Oj0ZdTA9K30uPX2xMz19gVM9VmpHPctAOD1fLzE9tdQ8PbTPQT2sP0A9SgM9PZptUz3RcVE9SN5YPZIqYz0OQ049RTY7PWsaQz1n7Fw9ZL5dPUBTXD1nEUg91ExBPSVVMj0KyC09qI4uPbO4Mj1+MzU9Dc0uPQFwNz3/rUc95eZXPVyKZT3U+GQ9ZCVaPecjNj3MOCA9EDc4Pam2Uz0kwJk9UDEhPqlxRj4N+Vk+vn9FPtwgIj7tICM+L1ElPlGjID7MTxo+bhAjPrihHD7FqR0+CQAQPuKvHT6ZXhs+ppMVPqHzEj582R8+TzkTPsYb+z3u0Dw93ixpPAOKiDzkr5s87d6gPOtktTwrC6w8poCXPMQejjzVroY8uk+SPMM5jzzvMZQ8ddKXPGnCSD2VPx4+i7pLPvrNIT45cBw+cMoTPmvkHD4u+R0++4orPkX0IT7yLRE+YpdWPomjWD7ad0U+3IkiPpwwNT7NPnM+kuxbPgVfOD68Hi0+oRIfPqBfID7txho+aKkrPh0qKz6nthw+tAomPnPYSj5ID1A+B8pFPv4LXj4Z70Q+Bb0+PkDTKz6h/jI+wL8rPoPpJz6vpx0+sgcbPvm4KT6OmkU+PooyPnCPGj7yliA+ffMzPsyIJT5aiC8+ZjY0PmijOz6sFys+B6pAPgy8Lj4RuS8+e5Q1PqRUMz54NCM+t9M/PlYhSD6p1z0+oMMuPk/PXz6IYEM+UPIoPo4UOj6OsTk+WZo2PlwfMz6CZDc+QlYkPtSAFD5rtjQ+cH5oPlsbVj70hUQ+2kNHPoNANz6Ocis+nogsPj2/Rj6aZ0k+/xNGPm5sQD6WzkI+Xsg5PijTLD6v4DM+a5YrPlSLNT6Qn0Q+vjc7PtEyOz6F2To+qT0oPiJ4GT4xrC4+8/gnPnyTND4bEjs+tRtEPnQOKz41ciE+NYAvPmbmQD6r9jc+FXglPnwrGT6TTTI+SIw1PqG4IT6YqTQ+yqRIPvPqVD5CCGE+AhFVPoSlND5qHj4+aEFRPpBZRD6rbl0+ZeZdPh0Scz5jRFY+1ixFPgDMID4JZzA+cq9MPh+KUD4nx0s+UhdEPnRDHj6RYiU+b4c1PuD7PD5l408+9CE8Pgr7Lj4wBSk+Org4Pt9INz4gcSU+0usrPgSKLT7ceRc+YhAiPi2gHD65ByU+LDE/Pt1RQj7crE4+4I5JPn7mOj4J8Eg+PMVFPpBSIT4Sxy8+2Q5LPgv/Qz6jKSo+2+UWPl60Qj6SHjA+zfUqPhC+Jz7zEjA+V9pKPraRNj7gLiw+1B8kPj1SJD7sEzM+VRNIPhGtQD701Ds+sUU0PhmWQT4gODY+XclLPmAqRD5w6yg+x6YqPmwnPj7Jsj8+4w49PoeHPz4JnUU+IfA7Pqq7Nz6hly4+54goPqDMHj5Sn1c+IFpVPg6oRT5jcTU+//eYPSWqjT28iJU9cAOXPRJVrD3XQ6U9AdqePcd2qj1oVK09wgilPeuNkD3VF5U9BcaoPa3UqT24fZg9IUSKPXQJhz0a4Js9XbSQPQ+ffD2mAII9yACKPYT6kT3FcIM9rDaSPU5omT0baI49L7aSPdVejz1e54o96bGYPShknj2XwZU9v/aRPQHppj0ZFpw9jtCSPaW/kz0HdZY9ajqOPUFemD1vXqA95qSbPQ1pkz1IT5Q9k0qHPdNVjD2f/4k9lMJzPW/RfT0bLXM91V1wPW2JaD2cdGA9vd5VPWqaOT19XjY9UqFQPahjTj2ctFg9Et1KPd0ZUD0JD049/j1OPZ07Zz1Q2mM9fCZbPfTxcj2DrHU980RjPckRVD3yvks9aLFMPQwDTT2sy0g93eNNPYSIXT2L/WI9965YPbmoUT2ZglQ9+4JTPWKbWT0Q6nU9ch1lPaxXXD1oYGU9xI1SPYxtaz3OGWE9fIpEPc6hPj22XlI9cyRgPU88TT2SwlU9b2haPTHLRT0xhEY9YtZEPYF8Tz2kbVc93gxePVcdZj3cwW09AVBOPXKlQz18XkM9M5pLPZC0YD2F9V89fPhVPXKOSj26iTQ9RkU1PfrgKD25wSE9iUohPWUbJj07vSw9YKgqPdqVLj3bCzU9cQ87PRcLNj1YeTg9R0gqPR/1Ij3y1DA9sx1GPdfRTz1lwFI93J9LPQHRTz35zEs9q9RYPVj2TT0RZ0E9X+hXPayVbj2drlo9fuRNPSDDSD0xjTY9QpM3PWzwND0ijyM9YoQ9PcDBQT0xPiE9TRkwPUNHQD3clTE9mFEvPSJFNT1Qxj89rJw5Pb7ONT1vETw9RExQPVg4ST0mlT49Z7syPbe3Mz0qaDY9mMosPUBnLT0mpSw9Kc4tPWn5Jz0LJyw94O0zPYuTMD0AySg9iv8pPatRKj0U1C09J1QyPbzsNT3cqjY9+TE/Pc5/RT2Q7EU9GDg5PSvRPT2nlj49LIdBPWAqRD2i41c9lopRPcXKPj2aZDs925xVPU6QPj2mqkA9SIlaPXQIUT3vlks9Ky9QPYCFSz0+1Tk9le8+PftlPz2bKTs9Ba5MPe2UXj1UvWQ9JNdTPRPhWD26J2095iJ3PWcoaz3uCWY9+o13Pf9ceT3Vfmc9UjiFPRKmij0lNYI9P9F+PZYZfj1TaGM9h+p4Pd1Ffz2T0nU99SeCPR81jj1i2JQ9uTiSPf9EiT3olYA9vR6GPfTdgD2XTIY9vUeEPZYTiD3JapA9RhSaPR5XlT0f1ZI9SSaIPY4Kmz3R2qU9T0GZPelojz2dzZE9DTmbPZkhpT1wdZU9sX2NPetRhz3UpH09yL90PaV5YT0YpFQ9bYBiPTexcD36fXM9M/CCPYwzkD01K5g90OKMPUbTij0YY5M9+2iIPeBZkz30sqE9FhijPWhdoD3qZ6g9sbCuPRE1sj3IdbE9GdS8PXHGuD3EVbo9JBq6PQwGpD0GEKM9Fw2pPRxHpz0R3509jI2dPQ/OqT1mqLA9+lOtPTR+pj2H46o9jIOtPasvtj2QSbY9yxO1PXLEwj2BFr49mTDFPSopwD0q3bE9Q9auPf9frj0sH7s9AQm+PS4huz3anbI9FcOjPYxdsT0InK09W1uiPfc2nD3BSJc9UriePXaNqT0oK6w9rGCwPQSgvj32xK49VWOIPb0NhT1+KJM9fb+kPeeTsj3n4cE9/q6wPcR7nD3pW5E9/72SPdzNpj3XsJ49QKCaPclEnj04fqc970i1Pd6qsz0zS6Q9k1WVPRaclz1+FJ092DaSPSrwkD2EjpI9N5eVPafvjj2nxoc9kieDPb5/gz1Yc409//2MPemhkj3uH5s9QkmgPdBSoz0sNqw9okKwPdoJtT0rm5o9ZA+IPfKwgT0Pe4g9YnCSPSpOkD2T+5w9O0GkPcSFoD2dkJU9PlScPX0dmD0XDpU94jiQPcX5iT3reY49+k50PUU9cj38CHk9z4N3PQP3gT1N7XE9JdxnPWhUbD0LH4E90Y96PYmGgz1HEYw9vM2PPdJKjT2oNpY9uV6pPeZ6oz1zb5s9MKGLPf/Yhz2/boo9ESp3Pakbgj11Y4M9Q0KEPTrhhj2UT3k9fZllPT/PVj2tOE49QuBLPfk5VD1OSUo9WotQPWDVWj0udVw9wOlNPWwsVz2lzk89DSVJPUxqWz173VQ9aRROPXaOPj2sYzM9mH4sPWl5Jz0PDic9pX0mPXIxMD0XtCo9hJAsPd2iPj39/049T6hBPQmUMT3VPjY9n+Q/PUaHPz3E9zk9LodFPdDQTT1K9Fg94p5FPerdVD0fxmA9//NYPRcLUz0unlU9mxNWPVDiRT0bBi49ffYnPevxKz0u9x89a4giPaeOMD019TA9iPdIPWkWVj1C6F09cqtuPdLVUj3f/S4900w4PdPeSD2PKzc90D86PUfVRD3inX492DUNPk+eZT4RgEg+kgdAPoZxGj77hiQ+iNsnPrBlJD6fdB8+j9oUPnLrFT45aRU+JHQcPsHIHj5OECA+A0kTPgqODz7FHBQ+RJjyPS5yMj3uhXQ8iCVnPCMhaTxyhXU83oyAPBdtcjy3H4I8EZmJPGwpjDzdoqM8XRqmPIoYoTxIt6c8M+OePI6pQD0yiRo+AGcqPlbbGT48eCM+CYobPsvIHj62pg8+vosSPitvLz48p0c+6apLPkFXZj4nAoM+gUAaPsNAKD6fFUw+09lPPqHYLT7KwzI+110sPqPjHz7vHic+r9cwPpzxKD7gXhg+XYZnPji5UT4pujw+w18/PtXgQT6rnkk+7mxFPnJ7ID70kSc+3boePlXWGj7ZLiI+KWkbPsxuKj5aXjg+WZoiPujRGj7Gqxs+4+AhPnKAKj6ikTA+7rE4Pm94NT5+XDg+4vMwPvmMKT4Lpik+Ir86Pk4sQT6Xihw+ytEgPnIZTD7+3E8+vUM2Pi14Rj5Hzz8+hKorPseVMT5G/k0+CiI8PkTmPD6JL0A+uJpLPlc5TT6M/0g+LrBYPkfwWT5ujII+TydHPnK8Mz7/xjk+BKY3PjTRRD4jkV8+oghVPgsiOz7Ybi4+QUIwPgJDJj6KGyg+bQYsPhKfPD52Ojo+NkZFPrXORj62DU0+IN1BPt2tTT7dnzk+XDYoPigvJj4L6i8+g0U4PhL+Hz7iYRw+NX1NPmjuPD66jzA+djcpPnmpDj7aESA+X2c2Pv6UKz4RCS8+BuUsPriGTj7pyT0+AM1CPlMaMD4LpD4+kORbPv99ST6kdlg+sm6BPpB5hj6CRGI+EEYoPlZfET7JQEY+6HhLPgX/OD5NHkk+L91UPrTIET6Qce89/SQMPqBEGz54Fik+7G4vPjQGMD76i0A+P0lFPj/tMz7PeS0+QOQyPnPBMT77ayw+N4wqPmLTJj5fvyk+djoaPoDIMD6hT0U+f6hKPuJaNT5kWE4+VIU2PlTHJT6A2CY+O6RZPjleTz77dj4+KiUyPpgNMj5qqCs+EvoqPnbvOD5f9z4+kv88PvTWJz7ueiQ+GbQpPmFgLD5z0TA+VO5DPlkjVT44/jI+CVw4Pt2zND6+kzc+/bOMPn9Phz4ZfjY+A9slPnQ5Kz67ORw+LfknPmSVFT538D4+VJtAPshjIT5npyw+LgUrPjydND5oL2k+zQZkPp96Tz4ilU8+19WTPWXjnD2YqaA9rcOmPZT7sz1uI7Q9xEavPXilqD0IkJo9kNGRPVrTlj2x55o9/V+XPUn5kj08QZQ9UE6UPUHPjD1TIJo9266VPX/1lz1fLIs975eHPWIcjD3a75E9tNyTPVbAjT1uAZA9aqSOPaTVgj30UIc9AiaWPemspD3JO6Y9qf+bPRJcmz19P5c9IoipPftNoz2uWpw9d3ynPSJlnj25yqs9TKiaPSmnij0oxZE9Z/uMPf1Efj3HYHg9jlFvPTm0TT1/PVk99HppPRIdbj0qh289yHtfPYzhUT0MYEc9ZVtMPS8lVj0jEk89w6pRPa4MXT19HlE9EcxcPT81cD1s6GA9O49mPcvQWT3KOGI9enRRPXI3VD3XbV4959JlPW7YZD2CsF49Q4diPePjbj2NQ3U9w+5vPdstWz3A0mU9s4pePcZZZz1YK2g9WIdmPWWbgj08ZYA9QsCCPcn4fT3avGE9IE5QPfDNTj1SmkY94TtGPabgPj20wD89FlJRPdZTVT2UL1U9+YdTPWsvUz1qiEY9OytYPXE7Yj1rMGA99YhePf7sWD3E8Ug99+lcPT3Xaz2UEG49M9tSPcbROT1/Mi49Tf4sPVbTLD0+OS89Vl9DPbBzPj2Gzyk94ZgkPZi/JT0tei897fs/PXzCQz14xEc9tkZLPSXDWz08DE89vrhHPUYSSD0np1o9WShePcVbVD3NUUA9nm9VPRITaT36AFI9DzxbPYX3Qz1SEUM9I6RIPXqpOz1oXDI9UUg4PRQ2Pz2vIUI9bsY+PZmuSz1fgU89XuU9PWX0Oz2W9z89hKQ9PbvvMj1kF0o9c75OPVwPSD3NeDY9wpJLPRZ1WT0oilU9uYNLPbdMOT3TgDc9gnktPZ5wKT3pWCg94KUpPTxgLD0b8Cs9rHE7PbAzND1DmSk9AjIsPTTPKz03r0M9tPtHPXfXOj2z1TM9d6A1PXchPj0NbUY9N0RDPZ5YUj1HrEM9TnxJPbPUUD3IbEs9Cf1JPfHPPT2ps0c99KNPPY8+Rz03j0w9gMRKPZh6VT3sQWA9Wx9VPYvWWD0fXUI9Wq8+PY75Tj03xlw9wO1jPSXnaT3v3mM9uKFcPc3KaD3hwHw9s1WEPSlzdT1tkGk99Z92PXoSdT1/Z2w9ENh7PbjCgT1L+IA9OsiBPV7ogT0qjIY9BIV4Pf1HgT3+sYU9Q42EPQbDkD3FVoc9FamWPdXEkj004ZQ9IHSYPd6ehz1oZoI9RECEPdW3jT0l1409tOuRPQQRpT0bVac9ikGUPRLOnj3Hd6Q9UrWgPRwgoj2osqk9cbCdPb8JlD0/G5g94yaQPfuVhj2RKI09+HaDPVvydT2gcGo9EAx/PZUWgD3JW3Y9WKt/PX/hiD1coIc9oguRPXqTkT1HmZk9OtqVPYtlnz1l4p49V6SYPePMnj1dPbE92sCuPQtsuD2nNrw9B5nBPeMkuD3lwq89yRetPXK1rD3Aoag9eYKoPURCtD06Fa09WaqbPb0Xnj2HeqY9eiimPTytoD3G/a09N1q3PYHkrT1fPKs9zHO2PZQouT14ybg9sT3CPc3nwT3pV7c9Nru4PUDVvT0yTr09Uiq7Pbewwj1eccs9jnexPUp+nz2/j6o95manPda1vj1xTMs9gu+0PdGEpz33RLg90NrEPaFevz0V7Kc98qmkPbwWqj2HFqU9fta5PbB0sT2H/6o9GASiPVEZlD2vCJQ9k1qiPdwjrT3sArw9poO7PagCvz1XHa89Y3KrPQsqrT0/M6M9I/CVPRO9nT0tS5o9m/uTPa53lT059pM9y0qRPQEkij0GW489hJWPPTjXmj2kXpY9OO6QPdCymT2owaY9M8ujPQh8mj2Bs5I96PyYPWDhlz3YcZI9S8uTPS5Gmj2EnpM9tSeUPed1lz0y5Zg99YiVPYzFlD1yz5Y9poaePYXfpD2sPqc9WSicPf57hT3SDno9GNpjPVgYdT3UaoA975+FPTcwhT1GkXQ9QSVvPd3zdD2MLIM9PsOHPam/gT07U4k9yFGSPXmGkj2EGJw9YpuSPZJQjj0xMos9ovOGPcXoiz30kZA9/DaKPUi0ij1TdHk9IUVjPUkCVT2I+EI9PiBFPTsSVz2Apl89UShpPXJ0Vj2aOFE9xW9NPV+oOz0U/kE9k0NHPcUmWz3T41c9n4dfPZEKaz23yE09KjA2PaZ1LT2l7DU9sq8xPWp6NT1ysC49UCc1PczHND2w4iw9ev83PXvZPT32YTY9QmouPVEAMD26djs9N14+PQ1LQj1/6Ew9B9lQPSCMTj2SYF49fdRTPctbVz2PvFw9ilZWPWuPTT3y30k9rt5KPWFlOj2VdS49HPgvPcl/MD1y+zM9QX1KPertQj3mjlA9PXlaPSl/Rz3TcjU90oU0PbZuKT2Fozc96aU6PbKPKT3pvDA9bCRWPZG9cj3PJE49uozFPdyUTD5zrlA+r9VgPuGBEz6Y3Rk+mB0gPlfeID7Pmh8+YSMaPrpnHD6nVho+Q7oRPvF+GT7u1BQ+KmAPPlBTDj6rhwk+kHmGPVv7ZTzNyF88mG92PBi9ezwxso080mqbPDe8nTzflqg8UyWvPLCTkjyPKJ48dVWdPA1ejjyxMoE8L8yEPJ+ijzznqoI90c8NPjJ+Lj6i1yA+EKUbPp5EGz5ufQ8+m4gFPh4+Rj6qHIU+A94qPjEaSj4lFXo+lZUkPpcMJT6/Th8+hGsmPjg8Gz4LBys+qnUnPurJKD6rkjM+Q1QtPpWIHz5LOCQ+btYoPiXrFD75uyU+U7YrPv+9MT6VKCk+MBQlPoVZJz4MFSc+KWUlPqexGj5puhM+I5MlPhpCKD40HTA+76I6PtkVID5SOB4+gZsqPuJ1JT7JHR8+2yw2PlpYQz4hBDY+dXggPjU6HD6+pkE+Nd5IPkueRj6dIBs+hz0+PnTwRT6hWEw+VEw6PkYKUz4h1UY+QFYvPjOeQD69cUA+C6BDPqUGPz713Cs+4FMiPnBNYz7AL04+vb9SPh7pcj68voM+yOtjPqWhPz65XE8+CuBCPpDWMz7hEj8+tJeSPsHyoj5U24M++bIcPowTHj6reDA+6R9JPq5UUT4QTUI+hzBAPrkGQT5qs0s+RulHPgHWWj4gYUM+fAMtPrNDLD6ruS0+pEkzPo/tIT6tUxI+FKY3PupEPT5pdEI+MVQ1PiW3Jz5IlCQ+UW8zPqrJND4ljSM+vxMcPo4+Mj7YNzk+79dlPv0YTz42dDY+MCcyPsbDQT7EJi0+I0lVPh9YWz4M104+rNg4PnVSLj7zjzs+vHghPnfDHz5h/TI+3kciPgKxJD7nhhk+KHYUPtqvKD5oHyY+SJIlPkX8JD7Dzyo+dd1EPpvfNT5SVS8+fFY1PpHCMj7R4is+hdw4PnS8Nj5a/yw+XI8yPh5tND7HWDc+e2M2PkShOz4fJzg+IIInPpQzKj6QCyk+hiE3Pj5jVj6MjCw+P8AePmOoJj429C8+cms+PoB7Oj583TM+TIUwPhyHHz5ihTE+dDVBPhq8Lj5Lekg+4o1MPorUUD5ZL0g+zk5NPuFwND7mDjY+1s9DPq1PRz448jk+3btNPrRRKz4WQjE+urhEPjk9HD617y4+DjY9PoBwJj4oiCI+XIY1PgK1PT6Lzzk+uUBFPq3IRj6rHTc+8I2lPSdgrT3HG6c9rkKtPazDpD3Na6I99UGdPfoxlz0CLJg9H16cPbBzlT1LRYo98pqQPacGjz0bWpg9TqubPVmQlj1725M9gfiKPZmvjT27EY89WFuRPW5TmD0Dn5Q9/pqSPTGQiD0moI09DNSVPQXfkT2MNIQ9vYeJPTIkmj1P6Jg9jaOdPbqJlj2ZFZA9PEGfPfwPoD2F7549VVKgPZD+nz0HCpk9qkyUPQaXjz0P94E9Fcp9PcQMeT3jl2U9QphPPR7jST2mgFM9iBhPPUipWz1Wb3Q9Xs5XPSDgUj2cwTs96Es7Pb8UQj1/B0U9HTBKPYcWZD0SXlk9lyVgPaGqZT1u11Q9nWlhPRwgXD0+6ls9FjNxPbRsbz0EIV49755KPdbKYT16QIE9styGPSSZij2Wxoc9JvB5PQgKaD2l8n494Il8PXTvej2kg3U9uR2HPcTjcz0K12M9fXRNPaFPRz3y5VI9HKpVPZkPSj27jkQ9zI9KPXgqQz1Ch0w9Xf1UPVd6Vj2mLFE9ziBIPTx+TT2Y/VE9ud1MPfAnVT0GN1g9NR9KPexWhj2CN3Y9MzhfPcksaD1Zb2k9QoRTPUeFTT2PLkg9WIE2PXXEJz01wSM9ur82PYZsOj3pvzo9vpo9PdoCOD2TOic9/BJRPVOZYT0NLlI9iZRAPQ1ASD26SjY9buo6PcelRj0oCk09PFdVPUK1Qz0BHkU9t+5gPe1yYD3GfUw9K7BpPTX/WT2Zpjc9HjwyPVFmPj2fqVM9G95OPYrZUT0iN1U9VNRSPbZkZD3YaG49CNxKPVbdQD1UREA9LytOPUrgTD1c/Eg9aPxEPWh/Pz01TU89v3NTPZ3PRT36jDk9BFNFPfRbQT2qczU9CKA3PcP3LT1K8io9WHUvPRTzMj3oIS498MdFPcrhPz2RITY9BnkxPXC2Nz1bCD099PI4PQ69Qj397UM9ZIkjPRmAMj1kgEY9ETVGPRSdQj3kI0o9utVWPQuaTz2Q6D49fmlFPWtuRj3h1lU9UbpDPYk1Pj1iDkE99dpUPcyXZD1VNVU9C5hBPWBrWT1Kmlw9MgtcPVw4ZT34eGg9KpV6PUtbdj0t0HI91LZlPfxdZz2Y/nM9JSSAPQWJfz3bS309C7RmPe9Bbj2tUnI9FWSNPQKbhz1Q43o9422EPezilD0U3ZA9Ho6DPei/cD1L0oM9L1l4PQ9/gT3uW5U9zYWnPYxZnj3dV5M9VnqbPR6Jlj0L/ps9KPeKPWYJkD3AnJo9F5akPbZPtz2JJrs9kUKaPcqjlT1vopY9362aPVwLmT3peY89dw+OPROCkT3AD5E9MkCYPaIimz3HRZk92Q2IPY20eD2EF3E9y9F4PT+ldT1rD4E9GWmJPTXYkz1IMZU9jKqePXtdmz1yQ6c9xYGiPbm9pz1L/6s9KP2rPVLVoz0N8ac9At2rPZ4Jqz32urQ9jna4PdAItD0GGbo98UW1Pc1Jqz09O6o9XMqrPV14sD1mbqI9e2WkPVA2nj3fpKA9z4OePb7Qoj1w6LU9Y+WuPSBjsD0td8A9eLPFPeviuD1xu7I91E2uPXeZxD1rp7w9e+m9PfiXzT3HOts9cvnKPe8GvD1ZxsU9i3e2Pd4brj2PXsM91obIPSWZ0z30I9c9IUfLPYuZwj0p28s9ehvJPVdKsD1XA6M9iJWwPZhotz07Lbo938awPYX9tD0TaLk9LlmmPadRpj0F+ro9kYTFPYiSuT249r49Qei2PedMpz10VZ49M+ecPdimmj0t7p891OaYPUbQlT27Ipo9fvWiPWEoqz0R6qk96O+mPWiwoz0jtqc9AQGoPU6Ekz3VopM96jeePfxOkz0iwpQ9puyVPe7siz1yopM9b42XPbw1nj0KKJc9MmOJPSSsjj2+F409AaCfPQV+nD1Ku6o9f4yuPQBMoz2H0509b4ifPdHYjz3EU5U98ZORPSyRhz1s0349yvKEPSaBiz1JK3491Sd2PTzJcT3ds2M9lE5rPS4Lgj1cOo49uYWXPa2/mj2w0pw9PM+aPY4Amj2c3KQ95nWFPW7TgD1Olok9A9WEPU9jhj3VvIw9jymCPVk2cT3IHVY9c+ZJPdP0VD1XxFQ9JABUPaLhYD2WjVU9Q2pePSgqTT1mxks9lm1APQLiNj0BgEs9uRNVPcxSUj3u3FE99XVTPdbdVT225zs9ckcxPRP/QD1Ur0M9sUQ2PY32PD09GTM9IXknPXQSJD3azio9/rIxPdMsLj2vGi89FMUqPTtELj2tUTc9JHlCPQcKRT01b149zl1sPUsKaj0f32Q9QNFUPT+LYj3jLVo9Xc4/PSygMz38/yU92sErPb8DJT2twCw9l2U2PQs5ST14CEQ9AZ9BPfFYND1OJkA9RzdBPTofOT2Wxi09B04wPZwqNj113T49LTtCPUsbPD27jzU9Dpo4PclZbD01RG89oXZnPUFAwD0MZTE+DP9jPsvFHD6Phh8+NMYfPi1hJT5rARo+FH0jPqhJJT6OEx4+z1sKPjAZGj4JyhY+wHMSPgxSDz7wDQY+iXQ7PccuNzz69GU8JTqAPCCEezy3EI08NOWTPM2rhzxumIY8UDuIPEpRkDxOyYk8Q9WNPC1/lzw/y5Y8xmWjPFZWrjzhk8E8sw9LPQblyD0KAxA+AUMjPk0yID6u0cw9bdwhPTAjqD3x+do9ke7vPQyMCD4eei4+yEYWPuA+Jz59gCk+Ot1EPgFQUz4TSzI+6IguPghqJD4LPSo+ZJ0bPh/IHT5Gskk+njZDPpq3Nj50siw+saQrPrLRND4QITA+FM8lPny3Iz7qVBc+aPohPqqtIz5GXBo+JIciPvLEKD49TDQ+Me49Pr1PIz6saCo+K7YgPhXWIz6R0ig+3IwyPus7PD7DPzI+gYsJPkysJz7pMlw+vYI1Pmm3Ij4hLR0+4LlLPorEOD56bU8+hPAqPkkhYT5Oq1Y+Ws1CPi/iNj5/+To+lh1APhwZOT4rFTY+6cotPg5IQT4h6TY+Mco3PoClOT5xZjc+Ak5fPnETZz71ioE+fFiAPn5LPj7wDyU+Sq1LPl17nz5xeYw+WNIqPkLyRj5h8kI+4lk/PvFPQj68FEg+fucyPmd6KD48PS8+j8lBPvfsRj48HD4+sZ4zPlRYOD4RRjA+ifs2Pro6OT4vVzA+ZzATProsKz6WmVU+9TVBPoatGz495jM+hzc4Pi7KMj7KPhs+RIEoPpWtPD6fe0E+wTFGPj13OD5lUik+2nsoPvDLOT7PgzA+/co5PpSJPD6ojS4+FQcsPpiIHj42fzQ+69snPjxrJz5pjEM+oGIzPq6GKz4m4kA+9SocPgSxIT6fTTg+L64pPt8XKT756yc+ZxsuPpu3TT4qlUI+AZYnPvwsJD5YxyU+MAQvPkHoMj5moyQ+Xnc/Pt6HVT6zuWA+jr05Pv9eHT5zvQw+6l5CPnRWVj470DQ+Pvw0PqurNj7Zvy4+XBAbPqHxHD6M9k8+PydEPmzoMT4Ijxg+/28wPrycNj4EAzs+g2ROPn/hND4XzTc+g7cwPtjjLT5rzzA+04BMPhuIVT5Ig0o+TxFaPoY8XD4J+Do+KvQ3Pus0Hz40Dxw+VbUiPpprEj5P8Bg+93IZPl8sGT4zrBs+WuwgPvqaHT6RORk+qlIkPpLiKj4+pTQ+IfCdPcM5oj19xJ89QKunPYKJnD0+YZ89dfGjPaSfpj1HIKQ9D2mdPYAjnD3PV6Q96FujPbaEmT0f+5E90VWfPeAOpj2zW5g9UAafPXywlD084Jc9CxqNPR2vjD3xio49d7KNPfJfkj3gsZA9ztl9Pajxdj0RpHU9IX57Pe5XiT1aU4s9CeGHPT8egT1uc3A92gCGPRoBjz2kUYw9dTKVPVgAlj1TbIY9Sq+IPa7ThT1Rv4A9g4+APUHqcT0V3Xc9caZqPUXnWz0CGlA9ykdIPU6hMz11m1E9mtJlPWSeYD1Nsjk9TEU9PYUyUz2dg1Q9VRtePZAjcz37H209BM9PPXQ8Vz3INlU9hzd2PcmcdD2I0HI9yTZuPb08cD0PnHM925huPeM6cD0juHo96NhtPYb0Yj0DtGY92rx7PYeMiD2hnXQ9o3NXParyXz3OSnU9IqZ6PXm4Zz2+C0Y97ONGPeCRUD39P2I9mpZnPc/3Yz0p5F09Y/ZfPR2uRT1wV1g9/uFJParhQz0Ic1U9mupcPRj/Zz0WTEs9vzxNPWIUSz3nI089u0xkPcu/YT1yplw9syF1PSB9ej3LomQ9cuVEPWY0Nz1hWTU9KnU5PW1jNT2dX0c945RePQU6Wz1FPEY9pzpHPTcqUT3cnVw9vcBePTLZVz1C8Ew96rhKPVW8VT2yY0M9cW4+PZYIQD2wB0M9EmFuPYzcdT063n89lZSUPWYxdj3Wz1o9HoZIPeubUz04EUQ9GfMxPb7jPz0jQ1s9b/pDPe1bST1KZU49BNNNPTk/TD3Z3049ge08PbYaJz15zTE9/Ec6PSWePD1zJkY9sYFbPeBCXD2T9EI9KeBGPXbANz0VNSo9F4Q6PayVPz1ZSzs91UBIPYn+Rj2xmjo9N2BAPZcTUT0lUD09kPtDPczsUj2qWlI9XkFPPR4aQz1YAUo9vSNXPc/mST1rqkM9yGxXPWEwYD1u43Q9ZLRsPUM2cD2i7mg9c1NuPcIGcD3a0WE9oRdOPeQzUj08gkI9srpJPXkwZT3w2VM9aTxTPZNtUT2+1lw9H2NZPRauWT2smVw9f+1pPTpXaj3k0Vg9aR1oPflrdj0rfGY9cJ1oPaRBaz1Dk3M9BAF9PX8Pcz3HmYk9WsSKPeq9hD2x74I9zR+HPSaPgj1T/Ws9VdCFPWanlz3nXYc9Oq6NPWiDiD1jPH89qaGLPdF/lT1IuJc9p+CoPcO8qj0Chag9A8GhPTkPnT39SZ49rRKsPRh5oz2jaJ09boaWPRGQkD153Yk98taJPSHJkj2yPKc9b4umPWtKoD0p9JU9VKKSPfh9mT0Omow9p0ySPazdnT3L2pY9CkKNPVOujj0wFYw9/p+FPfkljj1Opo499oaQPQ/+mD1o1J49fSGcPYz7lz0ZsJw9YLWhPYGQoT03yaY99UCnPcSfrz26N7M99VS9PZQvvj29P7M9gd/GPVFDyz1y6ck9WkrHPcdnuz2MrbA9ptupPQSJoj0f55Q9mHiPPWm5oD1CPaI9MhqbPXLioT1YeqU9LuSjPTbmsT3lbb49QXC2PZPOsj2d+709b+O/PWswyj2YXNE9kHDHPQqDxj1G5sk9JcfPPXtduD0Lmq49BdK9PX1Buj3YDME9KEvPPQD1wD3bfsE97gjJPWFBtD2rnK49XpypPZbTmz2Z07I99GKwPVofqT3viLc99CCxPWeMtT312Lk9IZa4PQFcsz1VArM9IlesPYfsoT3NfaQ9sO2pPWIQoT3Q7549E/OiPb1nmT3VBpQ9GsuTPc6Vlz0Plag9a/2cPXvepz3mW7E9aG2cPfoAkz1qlpk9FhqbPbHJgz21NoY9SiuRPWL4jD0wVos9Ew2KPY8IiT3aFZ092jmzPUp1qz1vKJk9Mb2WPYTYpz21wKs9BbqePa9wpz3ec6s9Bz2jPaFblT0B04w9JfCRPUpJkj3mG5U9DBSHPafrgD2EvXA9bl95PRSmhz3VAog9+bqDPfs/gD1yf4o9d56NPcW8kT0K75A9e92TPVz5kz08aIw9K9yGPbRGgz0a8oA93BN3PfTRcD0phXw9maR3PeEdgD2/NII91fNsPaK0aT1bImk97+9vPTY1ej3M23c9bqFsPZVPaz3n0Vw9jzJIPWW6Qj2CgEc9ld5BPcxRRT3rOkk9URNcPXcdVz0AC0o98nlKPSmiTD1nlDw9qRA9PeFvQz0EQk09V64tPd/mHj1YNy09caRHPSyeVz3xLE49uXFJPZkXST0JOUk9U7NCPT9OMj24uzE9ifJPPeSHSj1CQ109x7V0Pc0reT3HyV89cWJTPZs6WD2qlTc9DzAcPW7tIT1L+CU9NrklPaSCID1APjE9exY9PSY0QT2jfDk9W3hIPetuTj0VDlA9hYxDPbRZNT1e3Tc9ytA/PRsPRz3yTVg9+mdcPUwYRz1RVkE9KsUtPYP1GT2spiI921JGPVvMYz0V3y092INQPVs2jT3x+N89TOg4Pj51Mz7NDiw+RkomPqYqET6qTRo+s6wYPqAQFT6w7xA+O/wNPnH3CD6dkf09f9wYPefQNTwfMFo8pJVoPF+jcjzuBYg85OOcPIa9vzx8jrE83w2xPESTwDyZlao8f5m8PMBfvjzFD8E8VerAPIx5xzy/QNc8KPDZPBr81TzYSFw9Kj3aPewjBj5xe7M9vNvXPANP8zz32uE9SV0hPkWsKj7hdzA+hJUWPjk7FD59IjE+NutjPpgFgT7rWig+gDQwPmsvPT46hDg+B3k4Pux/Kj6ioCk+6JQ6Pm3JSj7UMFs+6iY1PvF6JT4wjTg+h2A4PjbtKz5qQC4+faswPo9sKD60JB4+vHMiPhufKz7MljE+hmwyPu6cIj4eYyU+ZLUqPrtQND4VmDM+DekuPo8IJT6qRys+P8cPPvPZGD7wpDM+KBcuPtSsMT7PaEQ+RixKPq6gTz6WB0o+DPs5PgZHSj4VZkE+0dhJPqseZD7ZLVQ+sxtQPp53Vj5B0E8+lGkzPvVQID6vATE+6tQuPl0vKz7LRDE+1vU6Pr89Uz4sUHc+aOFNPqP7MT5j7CI+qC0jPqg2YD6CB4Q+5EpsPjqxNT6LKjE+VDYvPi+YND4vlC4+tEYaPpnzGD6KZis+BdphPkS4Tj73Zzo+CNUlPjclOj7dfDk+lLYmPvvPST5qnSk+cbMZPu0GNj4MrE4+2ng7PuSkLj4j8T8+IB0+PqIjQj4RWh8+6mQ7PvlsTj6ULTc+OVYwPim2HD69Zgg+iAxAPoF4TD6nazY+aG5IPpNTHz40Fio+AD5lPtR8Pj5iL0U+j8IoPhXpHD5HWi4+Vlw8PpkfOD7r3Sk+ldAXPiR/GD6fbh8+usEzPu6/Hj5GBRc+O484Pp0GKz5T/i0+62UiPkdfPT4mVl4+BoQ4PrwzLz6xRik+A2YyPtwoMz4tZR0+SeAfPtUENj7/NB4+y6QvPvt2LD7ELzA+NAhQPvV9Tj58XTo+kR41Pv8sCj4HGDk+fiRMPnKcMT7lHis+F8k6PmKBMz6gUDU+qx4zPkXcKT6S2TA+XgQ0PiKVRj73wFc+vAlQPo8AQT6d9DE+VpA0Ptk3Kj4U2yM+y04TPo2j+D0Spwo+SGUMPqR8Az7VbPM9ttX3PbEYBD4G+gk+FW0JPgudBj59Hgs+8EkIPpQSED4XhhM+5UWbPTSlkz0hXqQ9plakPROxkD1vbpo9K4ajPYKAkj0di5A9TuuePSquqD0//6k9erigPdp1oj1RxpY93UqePf+Kpz2ZoZs9rMeaPbZSkT32rYs94yCfPfsHmj3l9Yk9QDiDPezfhj2WJ4M9xDd3Pdk0fT2jhYQ9adiGPa4Ogz3iuXU9BUt4PSBaaz0T5HA94jZzPbXrhT2jfYA9bRB3PdKwdD2OnXA9dsVoPaTpdz0DuWw9739sPZNVdT0YomM9KpFcPX6OSz17YEI9TOA2PRouOD3n9UQ9mRtJPX6bVD3LFkc9Y1I5PW1aVT2MN1s9CYVmPZcAZD1Vw2g9x0hbPdvDWT0vqVc9sEhQPQaaXz0lw2Q903tXPRx+Zz3hQFQ9mfJpPfpkZT3nb2s9vwCTPeKphj2iU3w9hnaEPRn1iD0/KW49YmNQPUM4Tj0zEmU9kQ9fPSlSUD0gU1U98BBRPfRNQT3Fi0894QVMPQVTUD2halI9+r5TPQn+Uz2xbEo9BQZAPXSkQT39eFo9RFtdPSQpaT1uJ189FiZRPbPyTT3d5V09fkJgPeEFZT0pj109idtrPet2cT1/x1I9WVdLPcZvSj3CU0s9l7lcPVXPSz3XAUg97K0+PWKoOz1IUTk9I81QPTqUYT0s4Vc9IUFGPSLpSz2zeFA9E786PfoaVj0+KEg9MLY7PWKtSz0uPV09bgRYPUNlaz2tSFw9OI9MPUy+RT3AO0w95HdFPYnePT3p9E89odJOPUo9Tj1VDUQ9Pw5BPZeAUT3WzVM9IQlgPUMVZj1oGGQ9DxxTPWZKXT1YYk49riZVPT/mYT17m1k9hJlcPRUWSz0TkUE9gX9APU6/Lz1HGDA91jQ8PRM4PD00CDo9ebA9PbQdOD2SszY9jdFCPeY5OT3VWzo9mAc/Pe+oSz3tDVE9HEZOPfeHPT0qaTs9e3ZBPUSbTT0yg1I9UzFXPWNtVj1wwnA9AdKAPQxcYT3+nkw9siZRPfDdaz32G2E91UpUPSBMUD0a1Fc9ZW9cPbajUj0olUU9BAFSPe+vXj13VmY9c25pPQ9+Yj1O/FA9unljPTdxYz2BJGA9GGZxPavGhD15SoY9iaVzPXtPeD2TnHc9DsGCPZjXjT3W7Yg9NDOBPQMmhD3xeoM9N/2DPZdwiD1zgIg9Re+IPY7tkD1NyZU9WDiMPXN1jT0khZQ9JP+TPfeTjT3/4Js9csyePVsJoj2eCJ89oeiZPQBkoT3CRaU9CJ+hPSBnnz3Sv509zS+YPXmgkT149Zg9ur+TPRAKnD1bQ549S0upPfypnz2oIJ09gx6pPc3spz0sUaA9CeWdPVlvoD0Rup89GTOhPbDqnj1dFJ89SXaRPVOxgz3HMIY9/gCFPeakjj2OC5U90s2TPalkkz0sTJo9lPWfPbzypj1b26Y9mL2rPTKaqj1S2qk9iUq/PWUvzj0eXMQ9F4zAPTomvD3mwbw92YC6PUx6uD2aRas976WjPWRrmz1Nk449cJCUPQJroD3CSpo9SyGlPd73rz3sBbI9uTKvPSr/pz1j/ao9/T6sPbtRuz2LyLQ9mru5PR0MvT08Ob49lmS+PdJ4wz3mxrA9s3m2PeIuvD0IwLU9qAyzPb1Nsz2arbc9SVbFPTXN1D1dacY9JBi+PerAsD0L5qY9AemyPbUPrT3mcaw9T0KnPbapnj3LKas9JZ3CPS2nzD3Sya49lSeqPbMQoD0nOJU9VwadPRo0pz24nao9BD+kPZTElj2zapg9NRKQPY3/hz0kB5U99qqbPQe2pj0d7qQ9xsihPT1tnD04xJ09FBKhPcgEkj1bwIc93WWRPZRFiz3NCYU9EEyNPbVSlT0neo89dfeKPW0glj2sc6Q9/5GiPcwYoD10zKs9flqvPfGNpj3fBKg994qnPYe6oj0IGKA9akGkPUrSoz3CnZg9NcmYPbKBkT0oSJs9EimOPdtNgD3TyHw9Bu+KPW9Ylj13oJE9j+mUPR3/hj0JcYw9e1eUPQ4tkD2NKZM9ANWLPWFUfz2nrnc91Up3PQMoYz3uYVc9wVpoPbd5cD08jXc9Bt59PR3pdz0v0GY9PnxhPRBPdj3JUXk9qIOAPaVdhj1x73k9Jc14Pfb6ZD1WUEM9gmYxPUusMj0xOEI9DyU3PcDpUD2Zc1s95lJaPRVBUT1vGEM9I+RDPTcpTD0TK0M9Rf0sPVZcLT3yWTI9+b4sPcEaPD2ijE49+ktaPcVKWT3DgEk9MsxJPbJ7UT04kj49IDg5PRrnNT1Ihz4996xCPWrNQT2Ujlk948FjPUu0UT2jfUY9rQ8zPVpEJD3Pei89ye4lPVUGGj1F+iA9bsUhPeMFGz1SOC89oNM1PcWUOj3iLkQ9FGBIPfxfRj0MzUY9ZFlFPX+5Pj1uwDs91n83PXgJLj1zBTY922I9PcIdSD2sFUY9ixg+PQxMMz0fxDo9Z0NQPUP6Uj2fQCw99z8QPSUcDz2tKWA91KovPgvJPT4biRw+HS0HPtFmFj58Pyw+qpgqPmkLDz4r8BA+LJ0FPqucFD4Rfe892ySePKnuODzmv2g8k2ptPLxTezwsqqI8vvOpPFjWrTz7W6s8YWXHPMIU3zxwW8o8XqvNPGVnzTyDx8484QfVPEjkzzw7adw8Sx7kPG5z3DywCNk8P6vpPJriAj2jBdc8fOOlPNfxjDzBdms9BlgjPpFlOD53viw+9iUyPinMGj6ULCg+3nk/PjBbVD5yVi4+bQAxPmllNz6G/CQ+U0cZPtiXMD74WS0+WvY3PhCiQz7z4V8+hRs3PtvzGz4/bjg+rI48PmFWQj5UnEc+eso4PiDHHT4bNBE+bEUoPinDKD7DKBg+aoYpPhZoKT44TTM+7ygsPnosLD4bjSI+mDE0PmQ5Nz4rGjI+WIUxPiO6Nj47CUM+PNokPi44xz3Umc09CEI9PvAHXD5lITo+30g4Pu6Thj6rL4M+DHtxPtdTjD53g1Y+hFxAPtSmaD469mA+hldGPqP5Kz7bxj0+klU0PrJCMj6k8kE+aEg7PlqvLD4efSs+o+ltPrwcXj63TSo+iX0VPs7yOj6BMkk+RHaDPlX7Zz5Sl1U+hKY4PoMGKT6G2Dw+ovhAPk4bKz50yCI+ofYfPj+sRz74YmU+pZ82PmezQT46XSQ+xrgqPr6NWD7QSEE+MfMhPj++Rj6dm0c+TCUzPo/VKj7MRD8+Z9IvPmDZOj6QoDE+p0Y3PtWUQD7v6Tg+HBQuPkhyKT7JYAg+3Oo4Ptk1Rz7UdyQ+cIksPpI4Lj483SU+tZ85PpX3Kj7niiw+9uUsPi5FMD55dCE+a5EsPlH6KD64biU+RqcqPsckGT5p7iU+nB85PjzNIj5jbho+0hgzPuiBIz46oDU+qaImPs3MKD6vajY+ad4vPraxQD4QUD4+zGEmPgu/Gz6+FzY+hOMnPu7YJT6uHCk+/fRAPtK2Nj4rux8+lwAePsydIz6jRRw+Qn8GPqfDHD5Ocz4+hkFbPoNhQT4u8Sc+D4A3PimrMz48eDg+k40/PsN5Kj59RSM+iPcqPmy8NT5KnDk+qrhNPkdbTT5EmTQ+e0EjPi+UDj4eOQw+5SEIPqeh9z3yeAo+jmMJPtv5DT7ASRk+pHkZPs0gED6vyhQ+waAIPlQsEz60qSA+WkIbPs8uOj65uXs+3cC0PbqvpT3WHZQ9O3iOPQPqoD1GkZ89TcmXPYjxiz2S9I09gfORPUubkD2wXpM9QJySPVVqkD0LHJo9+TmYPVN/ij1oKo49zb2bPcgppT0+iJw9oWWUPcEplj3M4I89gnqEPb/hgD34an89qjSFPWTPlD23opM9ONaaPfBbhz0q2Ig9aieCPe/JeT3PAnw9ltaBPRSTfD0M4nU9I8d4PZf6gD2Ounk9GwlyPTLGfD0Q04o9+EGCPawPdT1C/2U94npPPdUiTj0O00c92Xw/PSeZOz3VoEU9mT9EPRDrTj3Uv1Y9eb5gPUDwVz0ruVE9GdNmPYNzVj1gF0s9yvxGPfE7Uj0nsWM9ZFxiPW9rbT17QXQ9AnBrPQZ3cT2GN3c97rt6PVb8ez3i9Ic9SRaNPUyDiD2t5Y89KLd7PfP9Zz0gskw94EVGPRnlST1I6UQ920dJPY6rVz2joVw9KaFMPdkRRD0dLVY94oVRPZEgSz2Y8Uc9AmNHPUGGSz3AXEo9Cu1PPaweSD1BxFw9IJ1bPTP2YT2g3U490/ZdPXLIbz2JbHE9n2VvPS/zZD1zxV89qNx7PTXUgD2Shm49DU9qPTiaVz2Prkw996pKPTTYMT0bqCM9ELI1PdihST01Dkw9wbZkPcpuaT2Hy2A9UVdLPWWfTz0ZVGw9uMdkPeoeVz3XUFw9LKROPTfDTz2IVkc9Y5RPPbU4Xz2nYGc9SqtQPZyYOj1RYEw9xVhWPQ0XUj0nblA9BaRVPWAsVj3StD89P2NaPU+fVT1NuVU9aPFZPcknSD2Ls0E9eY5APQe1UD0qFEE9ibROPXEiUT3klFs9TUNcPRPsTj0hv0U9ZS1KPfxjSj3MA1k9mbdJPWMjOD28gDk9PSw6PTX4Lz2KejI9Z1E6PeW/Mz1paC895jM5PTjoNj0Zjzs9pqFBPdmZRj2j9VA9EQhaPfVAUT02xVA9kk5VPdVHbD123Wc9vytvPcntXT1pC0Q9JlNWPd3JYD2/HGI9AR9lPeHhWD0jHVM9PethPZXKbT2TAW09jnhyPSLAbj2NqIA9U3FiPQOEWj1hNV89uIxwPcfWfz0NrXA9RIN2PThThz0D7Ic98Bh7PXkUeT2bGo89KRmXPTSsmz3rq4g93qd2Pa5Hej15cnk9ybqPPTXVlj2mCI49IduXPUzSnD2B3KM9WfuTPRmvlT3lWI89S2GSPUlWjz0WN449ge+ZPT3coT3TJZI9RxOQPYyDnT2GgKA94lahPabClT0eZJw9abOVPcR3oT3I9509TAKiPQbSqz1WTK49YTGrPVTQnD24ppQ9D+mcPShLpz0nJqY9LR2dPRYcrD11xK09RgyhPeAgmz35s5w9i2uXPbwhhj0uK5A9mGKPPVWYkD0capQ9VjaVPbNzmj25Rp09LdKkPUszpD02vqg917yrPboJrj3LLa49DEmvPbWruT1vCqQ9Bn+mPfyfrD0ufao9dRauPc3krD2TXaU9/dWbPXVjiz2xQYs9x42SPbGsmz1Wwpo9VYSjPWFvqT24Xa89cQKuPXUtqj0Po6w9xtu2PRk+uT2Q6r09vJDHPbn7wz1bobQ9j7K5PdlJxD21QrU9Kk2mPWUssj10wbQ9vjmxPaFBuD0Nk7g9PBm6PeHWwj3JV749nH2oPaimqz08XbU9zEmxPVxQtT095Ls9fA24PV/pqD19obY9Hx/JPVbcxT3jqbs9z9qsPQIYmz3KrZ49YjilPVoRtj1bUrU9czqqPffJmT1Nu5c933uRPa6YmD2K3q09JQG5PWixrz3Zz6k9zzehPf4SlT2FjJg9rB6TPWjriD2kj4o9qTeaPeZdlz3f55U9XWmcPYcjnD39ZJY98YOfPQVwnD240ZQ97jSaPSp7nD1auK09jzSuPdxslj3gj5s9lyOoPUVeoj3ujZ49ezaRPVwIiz21nok9C/mbPUqcsD1OVaE92zSSPZqPiT0jMZQ9rtOePVPDlz1EV5M9N+2RPRx7jD28Eoo9+8mUPQwnkz3sjYk9g417PdTEdT0FHnM9wXh9PVcNfT1Urm097sJ8PWgngj1FmIQ9jZOKPRoCfz2iX4Q96m+DPTiAgD11qnY9K2d2PZVlfz3++Vw9B8dSPZTsUj2KJUg9KqlMPeb8Pj12ETw98QVAPaCBUT3hNVE9CJlJPapQWT33BFI9VIpNPaoxRD3uh0I97Ko1PXhQNj2igTs9TyNKPeKUQz3P1jk9TbhEPc0qQj1g6EE93FpOPd6oRj02wkU9yzY9PcreNz3RZlM9HrJrPcwPXz2SKWM9H5tVPTpUOT24ozM9aGUnPUFAIj2Zxjk9uuAyPcoCHj3+7yo9TmE8PTU8PT1oSDg9l543PfYwOD0TPTc9Ff1DPV85UD2yDEc9nQlMPf6jSD2tSzc93IcoPaltKT1jxzM9yyE9PQ2aSD2Jv0M9PfA8PSGQQz08PT49wnA7PflIZD2VljE946XBPWD97z3YK8M9YVZDPkTNKz7+iAM+eygJPt+LFj4PZCo+i7sgPpeSBj7fIAk+5FsMPqeEGD4AUOw9a5XOPBxjTTz0K3s80clrPJu/gjzfvJw8MwCtPCcQojyC/548IWbEPEw1yTxyXtM8cS3QPFhI0Dz+v948hIrVPLY1xzw3/Mo8y+rKPOOn0DzAjNY8j7AoPYSv3DyME288jASIPC4+pjzA4GQ9dLIFPqpTLz7g5T8+Vi1GPiGsPT7jdDA+WY00PranQT7xzT4+2ewnPrD+HT5+aiI+xAQlPqwRND4oISo+7tosPn0oSz4tNms+x0Q/PoBvKT44Kyw+vFg4PoDXPz79qUk+BPpFPs2OJj59lxI+3QMyPsy+Lz4W8Qs+N0Y2PoXaLz7SYDY+f5Q6Pj/GOT7vpDg+OrFMPlDxWj55iUM+Zp44PrUFGz5aTZU9fs7aPDiIfzzku8s8bemcPd0rEj7KKSg+shVDPgnodD6qcXg+X4ZwPgVUJD4ErCw+R54uPiH9Uj48+W0+aqw7Ph+ZLj7bzEA+m+Q4PkbQLD4ILUA+am5MPtiHSz6WlTA+2Pk5Pm6gYD4VKko+8kQkPrWWFD7EuCw+d7o5Ppg/Pz608D0+/es6PnzNMz5w9CE+IEEkPo2FYz5DXC0+rvYTPlgKNj7oAVE+1H85Pk2WOT4PiT0+cKdRPgStWD5dt0g+wCklPsOoPz4QVkI+kkk8PgxZNz4kQiw+fU9XPlgOVz51Vlo+g8lOPizQOj6L6iw+aVQzPurWLj6RwS0+AWcvPrRwKz5W/DE+zlYnPqaIKD54MSk+zJYrPnEfLT5fZRo+QjEuPji1LT5YcxQ+i48hPh/tJz7HUCM++O8uPsayNz4mjyw+TWkmPnweMj5I5i8+vyMsPv6+JT4U4DY+W8dbPuR0Mj443zs+Z5VaPl8cHj4m4jw+E6BKPuYhIj5kHCk+sZolPnyjHz7XLz0+vaEyPh0HRz4TPSs+hIknPuHyJD6bZCo+ndouPosIKz4kzCs+RKU4PjuUPD5ZkiI+fJIpPumoJj64zSA+ONU4Ph7ZSj56MD0+thQrPqt7KD4jfzc+eY84Pu9aVj4fyUQ+2IE2PmxAMT46Xz0+vsMxPv/YDD6JqQk+ACEPPjPpDj72SB8+VZo6PmbJOz5nrTs+ytY4Pn10RT6FBkM+O5xSPhhaYT4bZmw+ngGaPemSkj1WI4w9bGGXPSsIlj3ospE9Hh9zPTJkdD0Sf4E9sluCPX88fD2r/4c9UHidPWOIkz2Hbos98IyMPT6xhj340Y09wcKnPa+joj3jyZQ9uUyVPY0jkT34uYo9yNKUPahMmD2Fj5w9dkqnPeP6nj2AH5c9THiNPeeciT20jog9jf+MPZ0Ahj22noU9+FB4PcCiez3yHno9xACKPdFfmz2Gs5Y9FEGFPe2Ogj3DdpQ9lOmMPVnQfz0cDWs96qdzPfI+aD2670o9PcYyPezwOD2YJUU9zzdDPUT0VD01BVE9MSJcPZ8FZD0X9GY9HxlUPep0ST3Cb1Y9wFRxPSbKbj1CZXE9Z3NsPS+5az0Prmc9EYxkPQl6cj1A5W09dS1wPVw0bj08VYI9HeKCPRUudD26QW09Fr9aPZ9YRz0foEo9o148PUMhOD0eKl897S1nPQHrWT1jNVE9OfBSPSlHTj1luk89jvc0Pb0EQT1gTz49gPBGPaqeTT3av1c9CxdhPUWiVD0Uilw9dft7PdGdbT21N1A9NC1fPd2qcT2yMmg99iFePTpRYz30zGI9CAZ3PXXbUT0rNz8992U9PUsjLj06xDQ9Yx8uPRvmKT1FpiY9h+Y2PeP8QD0ZMVU9b3lYPV5lXj21b1897wRQPWDbYT2b4lc9sFxmPYxjcD0GY2A9qiwzPeSDUD1Zv1E9VEVMPZ5WTT3RT0k9Lu9MPXOEQz2tylQ9wG1bPVNqWT297GA9wRVYPQd1Vj1w/Eg9+cBFPXjpUj2nHEE9PFBMPWSaUz0UuU89hy5YPfVPUD2RhTc9HA5FPZraXD3Bm149WPNKPUOKSz1el0Q92PxIPQqWSj25DUc9ET1EPVQFSD3djzs9Ap0zPf6qKT3p8T89Va9NPXt8TT0up1E9vKVDPYqMPT06+049KUJVPaV7TD11MlI9ShlcPWbcUz1MC0Y9Q2RNPe9vYj2MtVI9eithPY0lgT2Yx3E92Fl9PQsZXT0MMV096oBwPSN4aD1ko249QhJiPTaMbz3q4F09rlRlPfz9Wz3TjWg9m9VnPUwqZj2HS3M9ueGKPY17gD0XkXM9qs90PZOjcT11Dmw9cK90PXBVgD0fpno9OeSOPZKUgz2AkXU9wrxwPbguiD186Yk9NSGVPUIRqz376pw9LYGYPVb8lD0KsJQ9AN6PPTZDlz1mFJ49OSSXPZv/mT0cvpc9Ri6RPcWQjz38Iow9V8mUPdZ+lT1Yc5M9bKaVPSXskj1R3po9BHaaPeQ9nT0K2rA9Ls2rPcvYlD2U66M9iCyfPXbwnz3Mpac9juyqPYwtsT0SQq492jyyPbzurz19Brg9PVaqPYaLnz1zZ509I1WjPb43nT2T45Q94ISaPTFDkz2llIw9NYOPPVUPnT1UIqE9016lPb/GpT2XbqQ9QnedPUHcnz0e2qQ9+KCxPVzCuD3ZCLc9fge0PV9Hpj0XWJ899aWZPexWmD2K3I4946GOPbDtiD0D44E9l4+IPRfamT0EG609Z1nIPfJyvj3mMbg9xA2/PYbHvD1Wkqs9AaCiPaAcoT24oaQ9NjqwPV4bsj33PbA9n72tPbPFqT2kyKw9cj+rPUOctj0GaLI9WaGtPRDDrj3HG689XLO1PZDIsT3x1Lc9MaG7PU5Ftz36O7c9KrOpPYUSqj2V97U9rRW+PRgytT3c+7o9bSO4PeTNrz0lTa49yN+3PTBwsz2Hz7M9ezCqPZOhpj3JM589zlmQPcsXjD3a7Ik965aQPR+snT3Ip6M9M/elPcEXpT3rop49uKOnPZiarz2rjZ49W26UPayylD1Q15M99ZeRPfszlz2/fo89s72HPZJ+kz3WnYo9mPCNPQ+vij0NfZo9itCYPT3Zjz1bV5g9SWqcPeZymD07Mps95n6kPa0DnT1K+409ERaKPU8ekz27O4c99QOPPaOHmz2xuZk9AZecPa2EoD1Ywp49GjyYPVE9lD3Z9JI9oI+VPdkOkD1dcYw9hkOJPUboiD3oJHY9KotlPXF0cj0u7G89gdBxPTdYeT0bn4091UuPPabSij3y6o09PMmIPYo1gT2tj4w9ePSHPYhTdD192mQ9xHpnPexhYD3B7Vk9ecNPPYzcTz3AxFY9+BlfPfr9VT1+9VA99BhgPT4mYz1LAFg99J9UPewXWD1PWFE94IJOPe3eOz2CLDs9WPU5PRl8OT0szUE9etZNPehgSz1CXlc95zRcPVrNTD1uIUg9UhZPPVFzMz3Opzk9x6o1PXwQMT3Ljz49eu5JPQVzRD08/Tc9mr01PdzvIT2dIBw9cBUcPZnDJT0+Qz89ha49PepTNz35EzY9Z083PZARNT0sLEE9fFpJPQKKTD0apVA9IyBOPV+iTT3U4E0995pIPaDCQj0oPTc96IcsPUk+Mj13t0U9E41GPcVIVj08/1I9KA9HPVIeRD1LSjg9i3U0PRwlfz1gfwU+/pUiPvriJD7cjis+8FcPPg2EAj4CeQM+O8QFPi6tHz4/mi4+XyUbPnr3/z3Z2QE+/wgNPk03HD51vsU9Yw6HPCVwZDz4JJM8hqiYPOgpmjzaGLM8z/7APOAGujzue8M8ThDKPCe8wDy1xrg8yfalPFbQqTzZEq48Ng+qPOwwpTzXSa4887akPGLEqTwL4bs85iFUPVioLD1ibac854adPAZjozzYXYM9ImEWPjM7KD44o0o+sHk+PlLVJz6GKCM+O2shPlq2Jj7v7yI+tmAnPmijMT6vA0I+Fr4+PjsoLz7XOCw+2CgkPtpaOD5t3Vo+Ud1FPrG+Mj6Gexc+90ohPvveJj43fiQ+0MEyPqfYQz6TJSs+qQIzPsjtHz45+h8+kc0yPkqYPj625xk+WWEmPhH9RT6sWYE+l+l9PmQKXT5UHTg+UYoyPr+1Mj63SPs9qqvxPDi4gDx7ZYI8GoqFPAsU4DzM7809MuKGPpfpuT7Cyco+kJSgPiGOJD4Y8y4+Px1CPrXRRD6ZdlE+f7FQPuU5Kz4B3TQ+QIspPuuVLz4uD1k+gAFUPt6MSD7H/1I+BIBFPkniOj71xjA+hT80PgFCLD5E7TQ+WOw0PtstJD5lPTs+PD89PgNGNz70yz8+PQ8wPiO2KT6dric+8XotPg2WPz55cUU+XshJPuZJTz44VmI+qpo4PniUTj78/U0+XWIpPojwTD7bl04+c5gxPsyEMD5DxxY+C5gxPsp7TT6CTmI+iG1nPrHIXD4RpCM+giAfPvkuGj4JuiI+Nfo5Pvs+QT7lWjw+HuU3Pqt5Oj5Wqxc+R/I5Pu5zMT6oUSc+ObAfPju7LD7RPD8+Ei5GPqUKNT7boS8+7OM2PgiROz7T/zg+7bAvPkc2Nz43+TI+PFM+PiCIMT7bfTM+vsIqPutBFj74uDQ+XCRFPrVTHT4dchs+vDEdPti3ID4sLiQ+oFMlPghbSj5zsVQ+Vls9Poq9Rz7hiDY+ulszPqDrNz7/SjE+kzYuPpwwKT6QaSc+hswqPp91JT67nTY+HpAzPtbfIz5+wgw+Mvz7PRwEFD46nik+jeJJPo7/Sj5RAjw+sK44PpURQT6QaTQ+28AQPnQLIT7PmiU+6vUxPleoLT5PUyc+sLobPne7Gz5MZyU+BVxEPjApQz7zE0Q+UT06PjfGTj7PAFM+NylbPh5RVD57m0Y+O5ClPTzZmT1lOZM9F+KZPZMIjD2QoIY9rOWFPWu3hD31iXg9oKaJPSvjiz0MFIs9vsmPPS3uij0roIc9vJKNPZJ+jz3UtIs9mg2CPeIuhT3XCok9stWNPbYUij30GJg97sCVPTBWoD1dx649QsukPSrGlj3anaM9tIKUPSe7gz3A5oc9s/uIPQ4Thj0GUIM9HOSMPeDLkz0s5og9LN2VPS8HmD3mA4w9mOOHPV/BhT1VyX49pNZ0Pa6ucT1RZH89G2lxPdoZTT2TB1A9flJNPSlZST2XoVE93QtZPWhKUj3v6VY9sypePRaqUj1h9XE9LqBkPSx+WT2xynA9/nVrPcA6aj16kGk9btJpPVFOXT05Ylg93n1dPbOuWj3G+Gc9UDV3PVHrcz2Yh4E94EGCPTgETj14eU49Jb5gPYwgYz2bZlE98fNSPdQ4VT0KtGc9KipgPfD9XD3SO1s9Lr5OPe92Tz2rMlw90sxNPSkfST03m0c9+cNfPSJzXj01AWM9pTOBPTIugz0mKnI9u9RrPTJAXT32sVs9YjJxPahMbz3jdGw9IOljPSpDXj3F2XU9pQR5PY6TTD3owCg91i4nPWhPLj1Yfkk9az07PYfyRT0rvUM90cA5PQa0Sz2JClA9HqhZPZXScj0E1XI9Jc5qPe3zRD1t/D49zzY2Pcp8Oz1pXkY9wxE6PZY9Vz02X109/jFDPRh1RT33Gkk9JKBNPfUwfT2QPIU9XQRVPSluSD2oJUk93cFKPf+eTT0qmz09M+VKPSOoUT3GxUs9pQFTPbraTz3rQTU9ol86PetkOz12ADs9Df5EPQrXQT0Pzzc98b09PZ4+Qz1rH0Q9YgtLPVoLQz3twzw9NXlLPW66Qj1kUTc9D6QyPSLCQj3PMVU9D1RiPfHTUz2TWEU9MFJRPcZeWj35JVU9W7JXPZ4SXj0z+1w9gG1bPergVT2feFw9wUlfPTXicT3c+WI9c/RbPTB9Vj2GLmE9RoyDPXbogj14T2093R1sPaI2bD3Ps3Y9TcZuPXGaaT3Rj3U9bVZwPbawXj1xjmw9KUNvPRkJcz0sOl09GqdpPZeIfT0t0YI9YWKMPXUqfz1Q5XQ9zwKDPWRcgD3dUnM92fZxPSOKjT2vDIo9MuCAPalOhT2oZIk96SeWPS0ijz1kD4w9qKGMPSVmiD3f8I49T3uMPV9ElT1b1Js9ChaXPfgOoD01lag99iGmPQOZkj06AI4996uPPTuCjT3jrpA9X9OZPfPikj0gNaM9C7edPVPVkj1IE5s9XpCaPfxUoD3RVqk9OP+pPdB2rz0qyqk9j8OnPTnvqj3Cqbs9OOrBPbRxxT3WDbQ9C8i7PRlMvj1Rz7w9wGalPacEkz13D4w9CeORPS1KmD0MLZY9eTGXPc1/lj0ogas985KnPZaXnD1dCao9jcOuPT7+uz1njrc9vii6PVWdtj2iNLQ9VESsPXsJnz1R2ZU9v2uPPdv4iz13hJY9ZTiKPQCigz0jp4s9RcCWPRTsnj3rop89q9uiPWQAmz08kJM9lkeMPaJMoT0TGaI9ccGbPUKVnj3+MaA9pF6XPVN4oD2rVa09sq2qPZSSvD30tLY9VruwPc6CrD3AhKg9YwWwPYbOuD12N709l0i0PSM9pD3g+qs9CYerPS6Rqz1/Zag9fWafPQZRrj2Xdr09VwiwPSh2qD3kD7A92ri2PfGduj16Jqw9KAywPcimoz2QvLA9/nW7PUWLwj2Rj709sNOYPckqjT3gNJM9cHibPauTnj1D/aQ9ZIinPb6atD0wCrY9QmKrPSijoz2AQZ49AdOcPez4nD0Q05g9LgyTPY1ciz2KD409SdmGPSJBhz2xUY89LDObPS05kz2Vop09JpydPaxzpT2Bd509OaCUPYBDnD3445Q96z6fPScnnD3icI09HjSGPepwhz1lW5c9tGaaPTDQoj0Nt6g9tU2sPcnRoz2O44o9M2GKPb8Alz0YY4w9vzB7PXyebD3x4G09gDxyPemrdT0domA92stiPdVRXT1Dc3w9CZ91PYdxdz0l/nw9NFCEPZzJgD1klYM9IUWBPTsEgj1OZY49bNKQPZqYeT04OGc9dTJfPXbAWz0+Klw9KxFIPWW8UD0IeGc9hjSCPabhez1ZTVg9rAtmPb5aaD2osmQ9Gd1hPb1iWj0b4F89OMlGPXdNNj0cKjk9hRtMPZATWz1dblI90EZkPVCNdj1G4GA9n1ZDPQTCMz31fz89w5NBPYQKPT2wrj09vF4lPcl3KD1sJDQ9qaNDPUfmPD0DTzk9QP8zPXXDLj1ajSo907I3PZ0GOT2Dcj49txxAPcjDRj0vkEQ9svQ+PaOuUT2QMjo9jLNDPXkEUz34Pl09MTxRPcDFND0ZUjA9J3EkPVc3ND2CaEA9PrRQPc2VWT0HZUo9tmRGPVJMQz1d7Co9xi4aPeYUIj1mZCU9O6gmPaT7Pz1sSMA9P6RUPnmPRD4hAhc+r6YKPszLED4q9Rw+wg8aPrf6Gz4W5is+4VIfPilJEz5krRU+MPYYPiw2Gz5IbpU9tJlOPNEHaTw8IZ48I32QPJ0Jhjx+Jog8du2UPKH2qjxtc6w8/eKePHdlnTyY1Zc89JWTPJTEmDwsjJI80saLPBfeoDwV0rM8WO3DPCNo5zxross8afOdPKzTjzzGEJA8sNiPPKLvkDwm5IU8kBidPHuN3jxVbZk9BjMvPlJ2Qj7uQis+r3cmPoJDHT5wih0+TbEhPuGGHz5mjCA+jk4dPixWPj4wrCY+jaUnPiYWSj7qql8+zWBXPvBMSj6MwTI+iY0SPjgZHD5xixs+RhsVPifZLz5l2yw+f0xOPuTgQD54kig+GFoZPk0FHz4LDyI+7TgcPhrZQT6pd20+0AyCPn/lhD769UM+O2A+PkeDRj72h+M9rV3qPMd4qDzv+ZE8IeeAPObvaTy/RU49dI1oPsHzyj4EV/M+ziqaPvIjOj65Uyo+zEM9Pp1BPD7pBVQ+khR4PmqQOD5mIj0+5404PuCZQj4ji3U+KtRePi1TUj6StUc++bQzPmlWMj6KqCw+I/IlPn8DLj4cITc+yG8uPlDtQz7PKDI+UHYlPjxiMj7j0Uo+9OU/Pl13OT6zAVM+bQJZPuGbPD7qviE+m2Y6PqvNPz5k5Ew+LUhGPoahNz4rAT4+eCs6PvvdTD5Z92Y+/qRBPgwhQz4REDw+FyQwPj6MLz6jY0A+TFZXPtcXNT4QKgk+X8QXPv29KD6uwD4+8tFiPrYCRj4ShzM+ccgxPqoJMz7kgSQ+1boxPhUBNj4NjRk+IJIdPoubLj71qSs+87EfPhdcMD6L0D0+4Ug/PkfVKj45ri4+W2k8PrYlJD79ayA+c1M3Pu8VOT46oyo+3HcqPhOTJT5H0Rw+iPspPurHJz4p/Sw+4HEtPtJTJD4ZqSY+1pIlPvJ6Jz4G0D8+2LUnPlKVJz6yBSg+Jf9CPtF1Pz64ViA+b/ItPrpcOT72tjw+H4MwPlFZMj79PC8+PNUBPuo+Aj5+swM+w+DzPYt6Dj5yhDU+Wf9JPtRTMz6rhzs+1tU/PlOdMT5KVxk+f8OmPcdcQj3TA6U9W2sjPiXKKz5xMyg+b2shPrdALz722UE+gds1PjT1OD7bCUE+0zlOPmq9Qz5YXEA+Tkk7Pvd0Qz5+Rzc+AludPecNmT37D5s9+pCePSvOoD2FJp89LKOWPT6clT1b3JU9ZWyTPaCqlz1xfZg9bliXPQmWlz04po890P+LPUTRgz0u64E941OJPSZHkD0gipg9rQ+SPev2mz2Ww6E9K7SlPf5aqD3/WqU9dtecPbXulT13NZE9ZsaIPRAEgT1HjYc94ESGPU1Pdz0C0G49HiuNPfSGjT1ga3894nmAPWELgT2JUYM9ct2LPQKShz09xoM9nhGNPbRKiT2V1H09lD90PZy6Zj0m5XM9uN5/PdatXj1at1A9DqxVPV9vVD05K1891itkPdj0XD2Qrk89kVxMPTW+ZT08xWI9VaRmPT4LXT0ymXM9T3qBPfpKbj0llGI9r6hpPYgaaD3dGXM9e3FjPargWT2+2mI9YehmPZOIVD3s5Vw93WVyPVMtcz0HsGE97+1iPQhdbz0LLW89G+NbPe0eXj1STWc9CMlSPZmyTj2U+Us9QpJZPcAcWT3e8Uk9GLNGPckhRT0VM0M9AZRbPdswZT1k12w9qUp5PWA9bz0SpoA9S9J0PZp1bz0aTWs9wgNrPUlTdD25J389TDVNPTLyND36ry89xkExPR4jLz1jgzU9iTw3PcmYQj00eEw95UlDPTyHSz3J71I9wsVUPf0EXz2OLlY9WBk+Pc5YOj0t3kc9v3E7PcTGSD3L7kI9PfNDPZ00ZD1INV09CIFTPULxTT3VslE9O6lbPT+IWj1rK1s96bRKPYF6Sz3VEWE94U1RPQDIVj02GFc9wOFHPR31Sj28TVk9h5tXPS6hST1IoEI9npc6PaXFNT1gJDI9+Co6PU/URj2oq0892uRPPSDIWT3V20w9K41IPV6+Uz1tTUw9nKREPWQlRj3eSlM9m3ZXPRE8ST1iDkw9t6ZoPSVYZT2TdWI9SGxcPSOGYD1DuVA9FAFQPbWMZD2B6G09S3ZpPbvMXz0Oolg9RHZsPUGnZz2knGA9skBwPWsccj2zTGw9qZVZPY3DZD1NY189FQ1bPb6gYz0wpHA9c29yPT9dcz2w+nU9D65vPfElcz37CHM9ecd7PQ3Ebj1AFXw9Vk6BPWgBgT3+k3M9pEZuPRDmfj2NC4s9eKSRPTqAhz2n3YE9pFSIPZLYhj0553o9hyx/PS3Bhz2Uy5I9tXWNPepJlT0DqZk9iTqJPSkNhz1+tIc90tmQPVmgmz02J509/VeQPQODlD2bn5w9T72WPeYflT2s65k9dQKhPWOVpT33j5w9gOKqPUQypD0Q7Jw9kp2ePU8Imz01gJc9FC6fPbBboj2xd7I9LmmwPYwErT0mALE9TbSrPUlorj0wF7g9rJC+PTzMtT3667g9I0HAPbmrvj3q+qo9h1maPalflT012qE940GiPc+Gmz0jlJ89PU+ePRuBnT2RsbI9ST+mPTpDqD1AzrA9xBKnPbknqD2jL689BRO1PRdVyT1MycY9FyexPSLdqD09tKA9rgedPemrnT1dY5c9ASKMPdJqjT1Gvo09IJePPdLMkz2dR5Y92TeUPffykz0zA4s94HyRPccwjj3AapA9rsONPStOnD0pwZs95u2hPWz5pT3Srqw90eWxPVVWuz2bmbY9ATSwPdUUrj07Iq49khKsPV2Erj2d7bA9JH2yPZnyrT1jfq09Rjq0PTKGsz2OHq49bcmoPSvnsD2HYLs9kwS9Pdfcsj1RV6s9IyOaPWr9lT1IFqY9XVS1PVhYvT1rgsY9p+a1PZuKqT3Z+LE98yOyPavkqD0esKs9kVOnPab3oT1Vsqc91u+wPd+Vtz1Avqw9YnudPeLTnz0vA6A90uOkPRPqlj0xGJ497XycPeB2jj3hsIo9FxGNPePOkT3PxY49L4OYPeDUpT01Kac9CoiXPf0ImD2Y64k9czaKPQA2jj24VJQ9wgmdPVy1mz2topI9NTmXPSMkkz2IWZU9ksedPW5PpT202bI9qr6lPUpimj0ZUZs9vmuOPexefD06GX49AnNrPZ8vaD0H7Wc91VyBPZV+gj1XbXg94od+PZusgj21WpI9NHGNPc49dj0icmQ9uT1wPe5gdz1ONHs94Q2EPWW7lT0d+Z49U+OZPRojgD1o0V09DvJdPTN5ZT01LGg9q/NmPZbcaT0lC4A90b6EPceVeD0DBG891LlePZb3Tz2g+UA90GZGPfoTST05fEs98INEPSrGUT3NSlo9hYRtPZmZaT0WUl09pCBIPaT9TD1lLj090XcoPZtjKD0/bSw9qRhCPVP1Pj0WgCs9b9MiPaoLIT0RdCo9GKo8PcWXMj1uHy09Ulk8PVJIQz0DLTo9c29OPdr5Uj2gjUM9MxA5PRzRMz341jg9LS9NPeNeUz0db0M9Y9NUPQTfST2k9z89FNYqPQKGKz3foTA96LA8PVIrPj2osjo9LJo4PaUoQT3PuzM9aHwmPUWXGz2JRBg9FjUZPSbPHD0g1yA9ikYmPdqJOD2alX49NNshPg1fTj4eshg+9O4UPqE2Gj7E1h4+CAkcPl9zHT4g8SY+pOQmPpU1Iz51Hhg+grgZPuhdFT5NiOM9L5vWPIm1Tzz7R2g8jJlwPDkdhzxGZKA81160PHrHqjzjCHg8D9RDPComPzw9IVA8kptqPOZeiDwY5Io8ROF5PK6ohzwSpPI8RLCtPXVEAj5Dv9w9GcaHPfYxNj38yDE9m9SCPT01rz1ZMzo9euMvPC8eRjwjLx09FYEGPnFHMz7qFis+DzkfPv7zMz7jRDQ+oH00Pu9HFz4ZiB4+q3oaPpE5Mj4raCc+8vwePsSRTz6TwkQ+1WIiPtWdHj5ioEE+lcgnPhuZQD4EED0+sg4zPhSkOT70OzM+elo6Ppc/QT6dTjc+aawaPhdFEj7pVBk+kvwjPlkyHj7XaTQ+lMFZPlfBWz6LXUo++MpIPnZlMT7AIaM9U4aBPIq6izzE+Vc80eJFPMZjgDzBUIs9xIstPvbOoD6bpZ0+ASBdPttNNT4oWEU+QrhZPoiPUD7wvDc+B85MPsLxVj6ydHQ+vxM9Pif8QD7EwUs+IjU3PglJOj4oYT0+508rPlFWNj5XXTk+fiopPuV/Rz7Z7kI+2dktPl7FNT5qyjQ+E9k9PmoxOT6lYC8+qzUuPlfqPT4gtFc+hzdLPqufLz7OYyg+eCUxPlPlMj7Pm3A+SuOIPpPWMz7QdTA+E81HPtHSfT6p5FE+b2gePkIFMj7FBB4+jJ4hPusPUz6EjWY+1Q9BPujoEj5q4Qg+3GwaPoNsLT7BZjs+16VlPravQT49xj0+bbNBPjeBLT6R3kI+LPVGPre6Nj4FNSc+ciUTPoMEGz5EryY+8esqPuiSMT7R8SQ+6Y8ePs2WJD7FFys++os0PuX0Jz6K3yg+fhovPqWEOT7RiSs+5UcuPnQdJT5/miI+cqw8PsBtND5dcy4+l0MqPtF0JT5qqy8+vkIuPhWTIT453zo+eIInPk/NKT4NTDg+JD4vPs7WKj4PIyM+AP83PnAvPj7cODo+5PM4PkwFID5TlAA+2DIGPkF2Dz5JrgY+tvkAPvizBD63qC0+XvFJPm+HPT4PXCk+p/whPnwLIT6O3SQ+tWMvPjLtFj5Q3ho+YmMqPrBMOT6xzUA+KBA4PvK2Nj5h+kY+02xPPn1DXj59Fl4+O99RPgN9Tz6mXEk+hAxNPuixXD7V2Ww+/seePTqWmz18upk9OqGoPREMnj1oEqE9sHOkPZtKoD3Pm6U9zXepPXQMpD1naao9v3yePcZglD39wYw9NI2HPV8zkj348pA9diiVPcq8oz23x6I9Mh2iPYvSmT20np09IT6nPR1Dmz1/YZo9VmqWPZ/djj2NO5U9xW6XPQHRjj36nYI9hr91PT3Zej3GcYQ9RZWOPdBmjD1O/ag9bc6ePUHqmT3P9KI9d5aaPVjMjD0AhpQ9DBSSPSGJiz34mIY9du+FPXU8fj26VW89tsFoPbiqVz3TJUY9h4pIPVv3UD16X1o9rEFSPXRkVz1C5lo9uohgPaBngj1fong9G91gPeqYaD0lp109cvdqPf8lej3B1YM9VvNfPUUXWj2BUVk9fIhmPbFgaT2WWnE96AZ6PQHZej26ToM9IUtwPe32Xj12IG09x8VrPfYNaT33K1o9Z0FLPSlyWD13rkg9xvBRPV09VD0OnWY9465gPVsYUD0irlk99fBUPdqpST3BNl09GshmPfi0dj1dLHc9eDRdPZqYYz049349GjB1PVOdcz3GTFg9kl1cPSRYeD3jD2g9T0JTPQXTTz386kk9kwI4Pb7OVz2Jl1E9QrRIPcIRRj2irzQ9FzE2PUX/Pz1K9Uw9WotOPW1LYD33uGE9DSJsPQh1dT02lVc9yM9PPavhaD38NVM9qR5SPU4uaD1pq089ag5KPUfSUT2pkEk9bNxTPSlXVj2IoFc99mVcPZB8Rj0AIU89cUBTPfP5Sz0Kiko9fwpSPUHfVz2QF1s9FWhVPSepTD102UE9ET1HPb8EQD0C2049tmtSPfOeSz13pUc92sNXPRARZD1Nxk09RJtMPRY7TT36rkI9qv5VPQb0Uz0VNlo9+Ml3PcfmcD3PwFQ9DdJbPXRpaz3oo2Y9vV5UPdcXST0Llkw93yxePe8CfT14+X49FHB1PTqfYj3fAmc9j7BxPWn8aj0oCHo9FTWEPbpUgT3BtnM9TOh0PV2dcT1Him89JkdtPQR8bD17BW093UuAPbSiej1MA3U9BZNnPcp3aT27KG89WZ97PeROaD0zCXI9TpaBPdI6ez0svoQ97u9wPR2Oez32JH09x5aNPXiEgz0lCIU9iDuBPVAajj2i/o09quONPY+Zkz1B4p097rScPdhXnj2f05c9gpSTPed4kT2NKYs9s72KPek9lT1pN5s9eq+RPegRjD2ll5A969mWPbwdrD06nps9RiyUPTf6lT1NeZ09/m2aPSPGoz0ZZ6Q9nVycPRFdnz3rtKY9L/ObPcadpj2zsKs9bTG3PaiuxD1H4rs9+ZS7PZJWvj3+y8I9m6HMPZ9Xyj2KaM89D07BPbb5qj2WR5U96MWZPWusnT00upM967+VPSGLnz3e/pY9CPuhPWdNpj2mXqs96EKgPSztnT0opqY9ZB66PTY4xj2pYLc9k7q8PYxXwz36hrk9veWuPUGSmz0Oip89uJygPRwyjz1yfIw9rPqGPaT0iz2cQZE9zUiVPeVVmT15sZI93kyOPczGgj3gsYc9sZKOPU9+oj2A6689YU+cPR0imj2DyJ49jl6bPbrqoD3VzaU9iiylPR13uz03S9I9UtK9Pei9qj02urE9w4uxPTFisz2st749Kju7PXNQsD1ni649bOmoPQzsnD3zyZo9URupPb1Ctj09a6k94h2ePQAiqj1J8Kw984GsPZFiuz2Qp8U9+qrUPSLqzT2cXbI9HhOnPTWCoz0tt6s9vb+2PU0gtD30CbA9jvKiPb+tqj22u6M9pmOlPTKgqz23p6M93W2iPeqHmj33Rpk9tg+RPXc8ez3X7oU9vxKWPbKnlj0sAZQ9eHGRPbMSkz0eA5o9OwGaPZyZnT3GsZQ9mWyRPekRiz3j/Ys9LWKNPZNRkz0/pJQ9J2iWPf2EkD3tJJI9y4mTPYokjz0kdZc9A3+iPb/Lnj12dKU9XEyePX0xkD2xxYc9hH6BPe/gaj1md3096TR9PYi9eT08RoA9w6eDPZT9iD2kFoM9UUiHPdAVij2cpY49IJyPPeiAdj0yCHQ9hKN2Pbssgj2R9pI9ZNKOPaxdjj1XJI49MjuFPddJaj2OmVU9095RPVPOXT137mA967FiPWuTXz2QEnE9PGx0PRFwXT1v71I9gZNNPb0mST2Ygl09MBZZPcuMUD2o8Fg99NVxPXNvez0Dj4A9LCNiPefeXD1exko9wAwuPbQoKT050i89kuYlPWilLz0V4UE9zDE4PVjWNj349S899c4yPQ9gMz32ljY9ZpdCPWzOKz1RcTk9+Ks7PZA1Qz121Es99VY+PUg6Uj2/cUU9YtI6PWPVOT1asTo97ulFPRiFRT2fjkI9NxNLPTMrQz04pTE93MgnPdz+Ij03cSo9w+YwPSzzNT2JC0w9M2lWPYyBPD0gWyg9YYohPf2sHT02FSk9ZcA2PYT5QD19Fz89qTA0Pc37NT2hhZg9MR4IPke7Iz5yRR0+jDcfPiGrGj6Enhk+DjwcPnMUFj69JCE+h7AZPp7PCz7Z7w4+AngfPq3uDj6bRu89KCCUPS0DtjxvtE086xB7PKLsOj30wLI9kCrWPeyw6T2Pi689HaoPPcqqETzDNTs8gxFlPGlyejxyLY08QLiQPGTSGD3AZNI9rd4ePumVJz6XKB0+psoTPmQMHT402x4+l1QYPiFlGT4uKJU9PFFDPPrIFTyflaI8THGxPah3MT7/E0I+rRY0PmV1Lz5/Fio+GS0rPoE8ID4f0SQ+D9A0PqIXNz6qSyI+3T8cPpEhHT6URSs+bXtAPqm9LD4GmCI+XGcTPnjsLz7jNE8+Zw9EPpfbMD4G2iw+olcoPuzxNj4pIjQ+F7E8PiExLz4KIy4+7IYaPpJlFz6I9iA+qiAnPm7FLT7f0DU+r0U+PoadPz5TRf89T9AjPY9qizxdNiU80W8sPFR3nz26pSY+tVExPgJTOz6/Vzk+KS1VPguoQT5dTlU+4IJgPiAGTD5tE1M+8wJMPi42Tj4Mal0+Wyw6Por4ND5NzDE+0nA1PvKvOj7aLEg+bRRLPkj8KT5CMTU+vJomPuLvKz582C8+id4sPnJYNj7orkM+gjo/PoGRST75gz0+KEkbPiFVRz6oD2g+5LBBPlWtFD4QI0A+PtYsPog9FD4x/zA+H1ZyPssMYT55CEE+vVk8PjcZPT4KUSQ+y+MePtySIz7SGSc+jBIxPgexQT7Eyl0+Z2o+PrGVLz7FciM+3s4cPgtpED7O4h4+woxWPkMfVT53oTo+VfJNPkX0Nj40KEI+xW9CPs0bOT40ujE+BughPrdrED7AQDw+gBgqPrFgIj41/C4+sHlAPp8Kaz5SxIY+dS1sPiFOXj5AQ0g+YL4hPjCfJj6AFSk+QEdMPvlaOD48DTM+qY09Ptz9SD6gZSM+Wf0XPuMhEj4KWjE+Bc88PsbWID7TvzA+8GM1PkmAJz4xzBI+4Uv/PYbyBj7s5wM+yXoPPnv8GD5KzBs+NI4iPmOyHT6HmBw+JC8vPhSEMj5d9CY+au4pPn+iIT4CCzM+k4w8PvbLKz40wjQ+e2g4PulePj6dN0c+1koqPmCyDD4mAgA+fSINPiAfFT77KxQ+CxklPi0lKz72Azk+tblfPgNKbz7qrWc+Ek5UPsl5RT4y7kg+wsF7PktIgj4BAX4+dEeqPaQ0sj1L1cE9aPnBPYQMtj1e4849lynHPZ82rz3t75k9VkiOPbLThD3LMI09NvOMPcwsjj2sqZ49+KejPfpIoz0w5qc9MYywPafOnD2bapY9iuCPPWs9lj0ZdJo9QCSiPY17iD3+B4o9qhONPX8vmT1ehZU9LkmIPeqoeT2r4oU9bz2BPUQAeT27UXc94eqHPVNRjz2dDpE9hpeHPYl9fD3GwIQ9NBuJPbSFfD11xnA9O6xzPUbjXz0YGlM96VFNPQxVTT1BjV49YIJnPbPUZD1vfGg9tqJlPVnxVj0dils9ExlSPTEwRj1w2FA9avFnPfKVXj2bg009+B9nPctcdD2FdW09PMpmPZF2bz3XRFg95CRAPSWxSD1MBEA93VliPXO9dD3X7Ho9IbZ9PVVIaz1YoWo92PFgPRncXD0AaVk95ipxPRl2ez0kPlo9gKFVPZDcXT2pO3E9Cs14PYcncT1cEVI9OhZQPeTFZz01OlU9s39hPcN7Xz3iXGY9tBpqPfp0ZT3nQXY9+MVPPTv1Wj2y/3I9JkFYPXZIVT1QNGU9zTZoPbD6XT2nYnI99318PU7paT0i4289L8ZxPZaYiT1VQII9TuFLPeOGMD36SDQ9D4BLPalGVD0Yb2U96ahfPawhWj0gX009Y0RiPXSyZz0Jr109m2FcPRReVj2K2lk9yLVvPT9Qbz2d11k97rRVPZdWVj038FQ92m9UPbv/UD0BRmM9W+laPR4PYT0H2089DP9MPYM3XT0LZks9XMc8PUXnTD2aj089dCRIPaMrOz1g4kk9l4ZBPS9vQD0LH0U9RtNGPeUFZj0s7GE90ZJPPQbzYD22+149mbVNPYABQj09c1Q9aqhkPVjzZD33pns9p1xrPZ8wXT2C6WY9Yd1qPWotYz3ncG89jydjPe7lZT224m091qdnPSBwYT3lZmc9AtVxPaAcgT38XIQ95T53PbUYcD2Gb3U9zzmBPZENij2gX4I9KUp/Pdz5gT3/Hnk9kdOHPeOpgT0O0n0977eHPXZuiD35P4g9ZFWJPSYCgD2HX4A93nCDPTXHZT0FbG09Bw90PS8RZz1NKWw9lJSKPZJKjT1OMY09P6OLPSWaiz1DPJ49s4idPYQzmj33DqA9RjmUPWZbkj2WJJk949KPPU8zhz3rlIo98fOQPapPfj1eeog9KBOPPV9Glz0+8KE9nxmmPR8Pnj163Y49VoOYPTeLoT1CxpQ9BkeePcM3nD3tmKA95pKYPeydnT0IiLI9RdamPVCblj2e+p89oeOmPbBCpD1unLA93Ne9PTxXvD2aGLI9yeW2PaK7uT0gdqo99O22Pa+7uT1fcas9VMuiPa/ToD1vt5M9j42gPZpEqj3ilKc9aWi0PcQcvD2fzKo96DymPUR+qz1Xt6U9N2ynPdU/pT36qbg9MHHKPbV5tz2vRrc9JISzPXOnuz1ondE9UgeyPSV3qD0JA6Y9Dy2WPVsTkT2hBZI95N+QPfkrnT1ASpo9lOqVPTN5mT1LN5o90NGXPXB3jj0lhZg9zeWlPfCdsD0UDa09kcybPR7Klz3UW6I9r9qgPV2isz0OE7U9bnavPZtHuD0TPMQ9u+zAPQVXsT3kUrc9INXKPcUuyT3xKsI98f+sPdSVpj0t6689wU6pPU39qD1V7rE9/O+xPb6ktT1G6bA9JjufPVx3oT0o2KU98WXFPfUg1z3iTtE94uHLPahIuz2QPKs9uHivPbpDrD1CWqk91aW1PWXItD0o4rI9dritPe+mtj3qFqw9b/qkPVwBpD1DBaQ92N6oPYsdpD3ax449LZmLPdkHjj2pgo89vxGiPVW6nz1fopk9d+yjPZw/mD3f4JM9RE6aPZ4Ylj1La4I9TuuKPcWFlT3PfKU9W5yoPQ22lj0cRY89h6iXPc+1oT3LTZw9UaiZPbZ5nj18Yp49ehepPZ9Zlz1GxpQ9eoKNPdFcgz2p4Xc9Zo+APQRwfj0ubYo9HoyQPa5/kD2nbZE9BhGSPTcvnz0QhpA9cdSUPTl+iz2JxII9Z9SAPQX4gD27hI49ez6QPebjiz2SDYA9JJhxPQp7gj0nW3Q9uNh6PYNLfz1B33c99T19PdZgbj0hwHU93fluPT9iYT0lZVw9OCtaPdUeaj3CPmE9rUtdPazrYT0Zv1g9QhpiPbILdj2H2IQ9g+6JPRu2ez3ODm09ZtBjPTP6Uz1mYD89zrI2PZ3hOD0gnzw9a307PWw+PD0/vzs9R4coPWuoKT0NDDM9bMRBPXMhQD1IekI9mxs3PVYHUT0i11w94eRWPQziQj3HXlE91pNBPcTiQD21kkg9/es6PVi3KT2U5jA91hY3PToxKz2mHyY9ckorPeggMD01HTY977YrPWsHLD3NVjo9OUBAPYkdOD2fbjI9qAMjPf2FND1OjFI9eidPPdqhLT2ZRTE9uCpDPZacQD1rpT89WsgjPcj9TT0moPo9l3wfPitaGj73aiI+UAIdPuFqED7S1g8+tLANPunIEz4Y1ys+d/AkPt/cGz4Z9xo+164YPs/gED7Dz989saEpPVighzwVOZI8u5t+PT65DT7tmBo+GPgYPmJbET5TKh4+/CEBPr1P3DyhgEA8zMt0PKm3iDz2woY8XPbGPMp7zj0Qixs+kKkdPsn3Oz6vYUQ+OnQ0PqX6Hz5kVS4+bl0wPqEQQT5gUh4+WjmcPZkSkzwRxhw8iHS3Pfv8MD5VYBU+X6cSPj6XIz4IVi0+yYsvPg30Jz5mESQ+z1ofPo95Hj5sHh8+PqMmPpQqDj4Wvik+aJswPvrhIT6p8Rw+W0kZPhdJPj46m1M+THE0PlUzOj567Dk+DLMrPrGMKT4V+S4+Wlc1PuhLOD4V/Dk+neQmPhElIz63SC4+OXofPrXZHT6s5kU+xLQ2PvuYKT7s/SU++pgwPsr+FT6uEpM9MKhJPQ2+WT0fA4k9mcm0PdhKIT4U3WM+red3PgMBYT5X+nE+t556PgUSTz5dAGw+MAWFPmI5Tz4sWyY+yiYtPqeSJz7KSDY+MpUkPjgAQT72m1I+4wlQPssqLz5ZZyk+1+MjPkBvMj4XdSQ+jA8ZPh6oJD6JTEk+kddcPu6ZTD5gzTU+/7IhPpRJMT5eTlg+sPtNPqL5Yj6g/Ws+4BJLPkAmPz57eWI+qA1xPuz+bD47sUU+f0crPkqjIj7c2SQ+6WUpPjvmGz6Xpyw+LgckPqvVTT70Uz0+f6c7PqvsdT6f9Vk+gIFJPtAHMD6pwiQ+CDFdPttlYT4WJD8+wrJTPoExOj7qK0w+Z7o6PkDQJj5YPyY+XmksPnn5LT4r+Rw+UuQwPmwgMT5IQTI+MaQ/PmvfPT5idIo+nF+BPvpVhT4/SUs+C5sWPvjgOz6e5z0+ZuFMPg6IPD5r70U+2DpOPpikRj7PVDg+6/82Pn+IMT6O4zk+PeRgPqU1IT5D4BM+Ehc1Pv4RDD795QE+qN4DPmcC/z3hSPI9QObvPWyiDD48AiI+w3EsPohPPT4LZzk+vr0vPoN0Jj51kSc+Nb4pPq8rLj6xFi4+3G0yPrA6Nz4J5Ek+ekVKPl8zPz4tQSU+4PAPPmSZCz6z0xU+OpcZPswmOj79Pxs+TiwWPsHAJj4ldhc+bYMqPlv2TD7xzF4+NDdlPtWRYj4sokA+kpJBPuvVOj5ZrTU+7Z/FPbBTwD0A0LA9KQSpPfNwoj1FNpk9noGiPacanD15hXk9/0J5PcEKhT2AcpI9MOKlPUQGtD3iGrw9IiurPeHlpD2N0qc9WgGdPYfhlT2ZPZM9dsKaPeOojz2thYw9szumPdBmij3F0209/MNuPaaFhj2C9II9eJBlPVpgXz2wS4I9ZPKEPYWsgj3aNoY9giSEPWEJhD13W4o9/zmPPceaiD1T5XU9i6iEPWmZez0rXlw9PKaAPcK9gT3D6Hc9XcNuPeWxXj0paV49rHNpPWjmXD0GI1M9wAR1PRLTgT0U5IA9EW5gPXy4WT1dT3I9SVVcPYIxTD3Bt1o9j9pbPTKoYD1gt1I9bOpMPTvcXz2OeFs9zDxUPfuxVT1a01E9PNFqPSs6bD1ddmI9NLuBPeQchj21LnQ9nDFfPS4YST3W2VI9ysxePQ9eVT2Co2I9bZpVPUiQQT0CYFM9Zx1yPfrnZz38RFM9CnNcPZqVXT08o1E9evBgPaMAVD2VF1s9uYtdPdYleD2J0G09riNxPUjSdT1XZXw9AntnPergYT3NH1s9CBpdPQNiXD2BXGY9++l1PX41gT29Q4E9icluPeNMVz2otEg9xglIPayJST1VW0496ShdPUT2aj3Ph2U9hkVtPe7MXz24r0w9ak9CPcoWUj0wiWA9AUVrPRcjez1VSV89ut9fPXidYT3+5lE9P/hFPcn3Vj3E9Uw9VPhcPSEMaj1+12c9/slUPVzjWj09H1g9x19qPX+CaT0sJD89r1cxPaQ+VD2g2lM9yQBQPfSGWj1iy1Y9p+BUPY8WTj2ZEk494G9CPaGfTD0yoFs9ColhPQOsVz37HVg9FQpkPVr+Tj2ilE8969tdPYtWdj0ynnU9am9xPcVmXj1IU3s9idxoPa91Vj0knmM9Zx9mPdn3fz1Uwng9D+FsPZIicj3zv2s9TPR8PZ9kdj2kJHE9by5+PZxwfD1tp2k9EAyCPf5tfT00D3w98HaBPfHkiT1aI3w9xNWMPQOmhj1ARH49ZIVwPTlGhD1E83U9L0RmPV/LXD1rD0s91QZQPZHmUT3lb3Q9DwKAPTxNgD2xzXQ9O2CEPT37gz2sDYQ98v2OPXOSlT38Opc96CSVPV+Fiz0THY09CMmBPWD/fz0+eIw9Y0eGPROFgz34RI09exGPPQiklz3GL5k9x+SPPehGlT2h65E9FUCTPQISoD3R3549ICSkPekJoT1jbZ895gyqPUbtqT3nR6c9ZyihPa3Qoz2Nn6U9mlCXPThzlD1htqU9WqqyPVJjrT1vq7c9pyy8PbeprT1/7Ko9mrCsPdMssD1ceao9H1GtPfw0pD0BtZs9DCqgPXNDnD3Q1po94BCdPf4npT0A+aA9rgGoPfXZtz0xU7U9IZa5PcPYrj2d5K49BxSwPb5vrT0tUdE9J2e+PYYGuj23aME9m0fEPbGKwD3o3MA9DsOqPdzZpT3ltLE92jqpPVyomT1RcpI9j1mbPbEVnz0yPJs9M8SUPT3Ilz07cKE9eh2mPdbJpj3jpaI9/ZGjPSkNpz2wva49memjPfL5rT1pA689uPKxPVe/pj24rqU9Be+qPXWUrz09u7A9E0OoPRxMpz2Z9K09p0KwPYxHvT1czrc9C7+xPbwtpz1wabM9wfCtPf07tD35F7E9QmihPeMOqT3ilqg9Q7KZPfDXoD2bUaw9dSDGPf3Avj2bmao9QreoPRLatz0vCcU94um2PZV0nz0pbqA9PVukPU8usD16erE94UqePReAlj36Sps9mWGtPa3gtj2jg7I9kDaYPWkEiT3neoY9NeiJPafvlz2JZqE9KkOmPexKnT1gKJo9WOCNPd02jT228IQ97VmTPfcBlT1iBJA9vSigPdCqnD3yZ5w9orqqPRT8mz00k5g97emqPWTaqD3TI6o9k16wPSvFoT3asJo9qTeRPWnBjD0+zIo9fRyHPRR1ij3FwIw9KoqMPRZvlz1ooaE9pZKZPS3XkD2InI096ReIPcWqhz0wKYo9FEyXPVr+lj0Zf6I9XHiQPYDfjj1xdJk9Ao6WPa0ThD3AknY9YLFlPR74ZT2fX249n0p2PawXfj3F1Ww9iK9pPSKfbz1Zt3E9EbtnPR1sWT2b4lg9hZZkPVPYXD0/qkE9nC1RPbpOWj0p+k09DcVPPRf2VD20gFM9qW9IPd07Qz1WTEo99gBaPbn+VD38lF096BtcPU2ATD26yD497cpJPdbwSz3L5TE9c98yPZ5pJz3MVyc9R0gxPXryOj2hUTs9IeRcPVMsUj28CDM9GbE0PXu2LT3ZEUE9AVZQPfvmST0y9Eo9jr1BPc3+LD0jviU9/f8oPY3PND08SjQ9tTQ0PaisLT2gaSs9aew5PdqkVD38AD49TK81PXyUMD0bkCo9myEsPZESMT0PjG09klldPbLVMz3f2TA9/Xk2PZtwHj2COgU961FGPciO1D2SqxQ+JTMpPskUMT4hwSI+f2kTPoW6GD6IoB8+h7sfPjUQIj5zyig+EPopPpwjKT5TIiI+jGYjPpUEFz5ffuY9/3ZBPUKmGz3nKMY9SbEUPlu9Gj4KaSI+EYwXPpA8GD4cLxc+8HzsPXc81Dy0Cm08rEemPNiUrDw35Kc8aZ/APEob2TzO0/88GIQ3PUikhz1yIAE+LoAtPmofLD6GrCQ+g8U6PqNfQj46ukk+ayZEPsaEFD4i/Pk9W64sPuNYLj6gtBw+qGAjPiNVKD73ujU+aDE9PtFcMD6h6hg+rCIhPmvPJj4a0iA+E+goPrXsFz59/Us+NQQwPlZMJT734zM+laouPjSPPT6ijUI+mZgqPu+eKz6Y8TI+Kxg6PvjaNz7hHjY+i8goPu64HT7b9io+UyowPinLND7m6Cw+VJoLPsNcMD6Gyzs+FaI/PlYKOz7CORw+rZwmPlBHQT6rej0+Z7QwPstVDj45PZ490cVxPeY4Yz3M6BU+MZ1APk+RJj4JyEE+LwJnPg6bcT4I0Tw+Fp4hPiC/IT47YSY+IDs7PpTcVD4Yjyg+ghE6PuP7TD4l1Gc+rO1OPt5lOT5vDS0+lSQrPgBBOD7Q8g8+U38VPvDYNz6DOjo+djkxPt0oJz6rkC0+bWk1Pq4FMD60nDg+x90rPiAqUD6bE4A+7iFQPpGMHT6gEiU+7T8lPtfKNz4RNVw+ItUaPlUUDT4iIRM+PaIbPv23HT6suCs+I+UvPpSvNz6FXiE+Aa4rPsYKRD6yz30+9cOJPtFUTz534Aw+ZjA0PiMKXj4bd0Y+zas3Puf3DD644Vc+japKPlHKJT7BlB4+neodPi/cWT7H6jw+Eps3Pj05Qj4zZyc+IYAwPhqqOj6/FWY+wKGFPkgyjj4caWU+/MEbPnJmLj4nDi4+gIdEPkd4QT6UAks+q6UrPmXmND5dfUQ+IIw9PtVCLj51XB8+llBNPjtYNz7wJQM+9//zPXKZBj6+kQQ+R14MPjxUFj5C7As+RLgHPjv5Ij4QADg+IM8yPvCRPj6T9jM+2bMnPtYLPT6Qhio+OAUhPrp3Iz5cWDU+7f9APgIBMj7Y4iY+MdgWPofHIz6Jyjc+zZg1Pi6xJz7edjU+SvkiPlZ9HT6GgDQ+ZG0sPnnONT4JMiA+Hx4NPsxGND6EGUs+LuxXPq5JUj7rJTc+tcw+PgU8ND6Cci4+jG2aPdJ9mD0zNJk9ImabPbaFoT0aMpA9xtCMPan4hT06TIw9aeSQPTX2kD3ZaJg9AeiqPaprrz0ud5s9FeWSPSTqoD0ZS6E94xmZPc76lT04eJU94omePYrklj0voJg9SIWJPT10jT0AUII9Oel3PdL4cz0JzYI9ayiAPUbokz25M4w9MlR9PYfYgD0a0449z0iUPbY1kj3SZI89BFOKPS3VjD1H4Yw9eN+JPSuNjT3PnI897UmWPXb8kz2GAYM9EMR8PdX1bD3ijoQ9fDaRPSjwfD0vfnI9ckZpPeTSaj1dl249wgZSPY4dYj0xY2w9OPtuPUkqYz10n2w96bdkPcJrVD2OA1o966NXPfvbXj0JolU9RHdUPTm+Wz2i9FY9BzNhPWnjaD0FDmA96apfPSo2UT312Ek9sIFOPfvYTD0Wbkg9UiZQPXO2RT1yiFA9hQlZPSzaYT1TSmw9LchZPZoiXT3Ull49OrxePWyQYT3uMnA9wNNpPWMnXj1PJWc9LNZ+PX6bgj1TbG09US1wPf9vYD0qvG09knN5PQBFfj2bKHU9oP5oPafFbj2lGIU9a2ZvPT5ibT0vS2Y9tx1kPemtZD3xEXU91kGJPQW/gj1e3pI9eXeDPSYXcj2rymk91xhWPR7oNT39PEY9LB5iPUHNaD12C1M98aFQPZXLXT1XYVk91npGPY3eTz0Gklc9DthTPWAdZj01ulo9LBhoPcdtZT2iZFQ9C9xUPSnGYT1D2Ew9y9JNPejfST3pZkc9CjhIPY/aWT07GV89oxltPfLoZD232F49piVvPfUbWz1LO089Hg1aPVt+YT0fL1A9i/VbPdydZT2waWA90rVjPRHhZD0tfls9QxxWPf1RZD24sG89lhlqPea9aj28YmE960p6PRm1fj25VXE9eQNjPYhBaD2bvGs9mcVePdaegj18LIc9yiyBPTAWeD24B4g9VIiBPcMbiD0yoHs93AB7Pd8Egj3aQJE9vsyNPb1EgD3Msm89JspoPWkogj0mZYc9p2iEPU8Sdz0QRHw98rt4PSOdeT2QWHM9zkSDPStHbT1uznU9sluCPYrLdj16qHo9AwaBPYXgfT1lx4k9NXGJPWvEhT3juY49qcOMPcjJhz3ggn49SeaAPX5ghT1WoIQ9jIiUPQhUlT2ek5Y9Rx2UPeutjz2xqpU9T5KjPZN/mj0eKJQ9AoaaPfgImj1y6J49ZoGfPQb7pT2se6g9VcquPVIGpj1Mvpo90WiiPUYXrz0hJKk9W3WhPRVPoD2QNJ09VkOnPUJurD3qCac9q+SlPexPpz3wnKI9VpSqPVoUqD3Ci509IJ+dPWU/pT20dqY9TIGgPcM9qD17c649Uau4PYXTuj1GmLk9PyfEPV3twj3OC7Y9OnzAPcmavj3s2Lc9Sju0PSXjuT1ZF7U9vPC6PQjYxz24Z8E9q+6/PeXDvj1Ig7E9d5KuPU3FtD2FiZ49gn+cPfJDnD1n3Zs9uP6ePcp3nj07TZ89d/SdPfCbnT1EF549aaekPQv2rj2eia09c1WsPdnpsD0ZubA9Pp+fPfzFnT38w6M9FQWZPernlT1ZjZY9TBaiPW4KrT15/rY9JXakPS1BqT0h27Y96Oa5Pez2uz2ZI6891QegPVcDrj2BCbk9fF+kPYEcnj0UlaY9VaedPYRurT1kY789c1ywPYE1rz0hjbc9+im6PWRfvT1yE7c9kjG4PaXPsj1K9qI96EOhPd+Ypj2+YaM9tDOiPTLanj2TcKE9LWKrPWCepj2kYLU9qLGxPUO8pT1hL5M9kpWIPQEoiD0NwYc93PCRPZicoD3Tv6w9FumkPR98mT1vzIs9ZciEPeaggT1lNYM9hceRPacgkT0VmpY9GS+SPT9Ekj2aJpk9g5ObPawVlj2QraA9iAqgPW4Upz21rqk92dmpPecNpT1dWqk9Gc+ZPaIQlz0S4pE9zpySPZLVnD0p1JM9aSeQPTVLlz3Rc5w9xg+bPQ+jmz1qFJY9LYSbPZBwoT2tj6A9ZU6zPbybpD3O1qQ9gB6ZPfO7kT1VIY49tGGGPQJaaz2xZlo96wFhPfM+Xz0NPV49dVhmPRrnZz2cfHE9fqZ9PUpGcT13SmA9+zZIPbnWRD2g/E89ufNFPb/TQz3r2zo9z4o6PVAkPT3pdEA9UqRHPRadSj27ikU9MBFTPdlyUz2SX2s9wj14PVmGYT2QPlA9GZ1MPdJXMz1xSiY9+YQhPWx3GD0JgiA9EZknPcagJz1diyk9zqA2PYKpSD0kAj89Rp4zPQ/jLj1JGjY9v8tNPdpAVz34VE89LNZCPXicNz1FqSc9w+cpPedGNz2IyDI9+F4uPQ1JOT0gujA9pwY/PdovQD3JJkk9xTqTPQM0mj0qSD490RI4PdG1RT2800I9d5dOPWFNfj01EaQ91WTFPQ6Sqj3oXTk9158tPQzcmj2Vc9g9/AYSPtvoFz5hSCA+pT0mPk4kKz746yo+H1QcPs74FD7IbRY+N0UUPjOpEj7b3h8+BboqPpLYIT6kHhk+CaYfPlIkEj669w4+En0JPmXFCD4w/yA+8UUnPuyCLT6t/C0+KGwIPos25z0JJNA94ZbKPZJuTD1OWM88oQXKPJ/3tDxFrbI8dXsgPQ+zbj3c9g491z+ZPNWKWzzfOdA8s/XLPYQLMj4mwy8+zghNPqSaRz7MKz8+kcJJPjWOTD6kWlA+l9U0PtynIj4/JSw+Y7A7Pi8vRD7RxCU+EGYePtbwVz7BOHM+aLBXPobnPD7WWiw+igIfPkFbLz4uUUY+oh04PprIOj7vADY+fZc1PhWFUj7mFUU+11grPhCTLD7XqzU+IyQ+PimgOj4vljg+fY0pPkqbJT4xbCg+5r4aPnxLGz41vDI+xB8xPnb3Ij59BCM+hhBCPnnERT7/9Eg+JxxQPlXEMz7sWSM+xc8qPskyRj5xhVo+4nhFPsWuIz5IAT0+HnFAPkV0LD58wDA+KpZHPqaDTj5fOEE+hvNLPonyTD7KElE+Gu9ePtBiWT6kkk8+x8BePuOIlz59D5M+ehNtPj1gUT601kU+bVs3PhocOT5S0yg+gjgpPnmdIz5g2Cw+esIyPlg+Gz4oYhc+AmEqPrr5Kj6GCj0+Ia8vPpaWJz4RYVU+2+ByPtRSMD4YQR0+tRpWPirDRj5zRz8+1DEQPsTnED6V0yE+/rAqPqQFKj75oiU+cGovPvjBJD5dNCw+svE3PjBmSj7l3Uw+tPOGPg0XXT57iDI+Pqs0PkMeRT5EXkQ+7n4cPqCLBT6UBjk+Pvs6Pr3rPj7EkUA+HlA0PsjwLz6Knjc+A5orPhVAID5usjE+mBVHPgF7UD5HG44+rrnAPn/QiD7tUwc+kJIhPpQGPD7ntwo+hS0xPuxtTj6k8TQ+g1Y2Pv+2Qj7FnVo+EpliPvPyLz7zBRQ+JmQoPrdMID7pMAc+q94LPp9tEj5APR0+rGsUPkNIRz4g2jE+hH0gPpJKPD6wQUM+nGc9PjpMQD419Tw+IeojPh/QHj5BrCI+nXApPtm6JT7YEkI+fF0pPsZGED5hohw+kvIuPgZSMD41nCE+nGwmPmnwLz4i7TI+eysfPsgGFj58jjw+EiY2PgIuTD70Yzs+wkM0PughND5LfEY+rrJMPjttRT5aBEg+hh1iPrKDVD5oxFE+BeuPPapekj3ECJI9tcOTPV2QmT3b8o89AQOJPfEDlz3rcJY9MbmSPYfZnD2zjpc9zZKaPTzpnj17K5E9mlyYPV6PqD0OSqE9oB2gPRpNrz2YF7E9EBKmPeelgT3/3YE91hKGPUQefj3xC4c9xrqPPSkyhD2Q6Ic99EWgPRrfmj3hhpA91huEPaETiT3ULY89UhaTPfSYiT0o+ok9khCWPdX2lT3lDps9onmcPcPSmT3J95s9u9iQPYwmhT2GG5E9UfCSPd9Mfz3HjYk91AmLPRh4Zj1Pl1M9XJtbPTf4Uz3txE49c6NVPXSHUz1iOnc9ZIuRPWg1hD039YI9Q9eIPVKBiT3zHX89yH9qPaQZRD0mwEw9fxdZPXDVSj2nxTs9LdROPUmXVD2Qy0Q9yp1IPdUBRD1Z5FE9pHxgPXs9TD286UI9OKU/PUypRj2KhE893/lhPTTpbT2tbGQ9H3lSPcmJYj1btXA9eMVdPYFxbT0reHs9ntBuPfQJXz3WhmQ9st9pPdiidj2q+nM9NQxbPTFxYD3Uwmo9IJFsPQTgcT04j1496XFVPcpTYD3O33c9J0tUPS5Rbj0rYYQ9nouSPXTalT1JK4c97ayAPUWAjT1Bg3g9+vNVPSXiWT2vPlE9QxxZPblqXj0ovVI9IT5bPZN+Wj3gwE49aN5WPXPzcj3mQHk9AKFmPV0pZT0yxFk99utVPZtgYj3cVm09sy9iPYQUYT1NMXI9OFR3PU4DbT2uiWs9sEpePa/naz25LHc9mDxxPXj6YD22gFU9fphbPbFgaj2HBWg9k+ZmPYxQfj33tII9Qu9xPVXbbD2RDFs9e79gPWgFaD14JG09eaddPXlobj1jkXo9/EN3PSHDbT2RhXQ9CSpuPZz9Yj02EHA93G5zPbbjZj1E5G09bAhyPXjQaD3o32w9R95xPW6Ibj2c/3493vGSPSyhmT0fyY09AlmIPY9qlj3oZpk9TlmSPegGlj07xZU9yVKMPY6FiD2rVos9NQOHPdYXiD1o9ok98AeLPXXckz0LN5Q9V7iJPf6oiD1JtIc9kKeLPZOgfj1sPXg9Bu5zPXgJdj3irXg9F/CMPfE1kT3Fdo0962yXPfhfkz0jJYQ9pM+GPZ+HjD0KhI491FqXPaTAoz0wYaM9EheUPRQplT3xU5Q9jeSiPUC+rD3TraA9ixWiPeldoz1q7K091JitPTbnpz17u6Y9nq6kPZ0yqj0FSKo9wdObPYUUmD36jpk9XF6iPYnQrz34Q6k92eaUPT6DmD3mZaE95v6hPUqHkz0cLqU9ZdOmPaqurz2QyKc9qzCxPU4grT1lrKw9+hqwPQtGoz2+U6g96KSoPQFepz1fVrQ91Ea7PV7YuT1DQbM9QtW3Pe8grj1hcac9fJyoPef0pz37Yac9yUepPeLQvj1KSsY9ksS9PeV1tD1aYrc9nDG1Pd1PtT1Vc6Y95wmvPUQBtz3BDLE9mYiiPbHsqz2Jeas9S0SgPfJAnT2jFpk99xSdPWylqT1ZzrE9kIirPWy/qT1SVqw9W1CkPY7nmz1sw6Q93/ufPZxEoT3z2qE9nDaoPT2apT1pfak9J7epPbxopj3Laa09bi6aPZOVmj2FBo89dS2TPcGKkj0t8po9b5eZPZpkoz1SIaU9CZyhPVqmpD1HqKI9n1WsPZakrj3SjLA9K4qqPS7QuD1sOrw9xY6tPakzrT2eZKI9sG6qPcJxqT2Uq6k9nJu3PVyvsj24zr09aZ+sPa/Ssz2D9rg9JwTAPZsKxT2JtLA98OydPY3Bmj0lyZo9X/eePX7glj0eT5g9hq2VPYZaqT1Lt589SI+WPeOvjz09ooc9mWyKPd3njT1clps9XXmZPYThpj3Csq89CW2iPdeMlj1doZ49uWOlPQEwtD0SZro97cupPU9PtT2yV7I9YVCxPUXQrj1XWKk96uGZPR1Ljj0Hv5E9KJeTPbZrjT0JL5g9LHCWPT8mnj3X+6k9Q1yoPRzpmT3Q9Jc990KVPc9ukT2XC4g96HCJPTi0iD0FlYU9FDuCPbsXhz0EZH09SdJ4PcEccT37rmk9N1RuPRynYz3yVVc9+tR7Pb9qiz3uTIg9gSJmPUmUXD1oVUQ9+88+PfuxPz23iUM98ohGPfS4SD3idkE901hAPZGrST2MclQ99NBhPTadXD3VX2w9jeJzPTG1cj3paFY9sGVDPQ/pQz1fzT09JqUxPeKNLj3qfik9mpcxPTnNLj0QQzU9vXwzPZ5CLT2qbDg9tWE5PUB4OT3EZDQ9Z0w3PR1vSD0SF1U9JTpYPW/yRT0bMS09rvoqPfBuPD3kV0I9zbtOPb2zTz0mEj49qic8PYVhVT2P+VQ9cEtGPSq6Tz0jUE49oKiOPRCShT1JPyc9lSAqPXSrOD2UvUo9g79sPfGo6z2BOFw+CHRZPlBWFD6nSP49bLMcPqbXEz4gMRA+x7IOPt7lJD5C+S0++kMrPkDTLD6JACQ+11ASPh/JEz5lARI+ZQgaPoDbGD71oBM+SH0TPnraET4gKRA+mToNPiTCFz5L0CY+CmQgPpNQEz40myM+VnAePsip/j3ZnXg9qWkKPSSl1Dwv6dA8wXz7PIIq/DxdQeo8a9PUPP+dwzx+FIk9fbsiPjbDPT6ycSQ+TWH3Pdhw2D3//+I9t8cHPi8jSj6rm1U+oTNVPhzVRT7UBEQ+sUQ3PgYsXD59Bmo+AH82PlpQMj7/MUc+pDpVPuIfPz72mzc+x8dRPg7VhT403Yg+nfNePn1XYj5JrVM+VPpEPu91Pj7BNkM+OWU+PknxRT6MnDQ+T9M3PrplQT4j7Tk+KsssPpuJKT7g+ic+JaEzPjcxJj7OGyg+FlI8PnN7MD5z3TI+CD0+PkYiKz6rJjs+vlciPgs/JT78DDQ+deQ6Ps/qMD6wKTs+AqJLPsApPj7bRBc+IbQfPuboOT7likM+DKwiPluSKT539Do+0z40PqLWJz7USSw+bMo/PmS+PT6Jmj8+EA1sPjvNgD4p6HI+S0ZJPikdOz6iR0Q+0cxWPg9npj4ONqw+QepsPt8FUj6QGkU+kcQsPmvYLD4izjk+IIU7Piu2Jz6o0Sc+0yotPp4/HD5Qayo+qZg6Pm8AOz7W4S4+ypMlPu2LMz50/hM+82szPhW5TD4o92Y++1ZJPq3GSj4+HTY+6xYTPgoSFz6PCxU+Uu4nPnHfKD5ubSg+abAWPinlDj55okU+UG9YPu9QXj6goU4+DsY7PpZ+Hz5LbDk+BVdSPgMLVj5UFy8+kNcHPkqMPT5HpmM+QJw9Pi91MT4+bCs+J5IsPppKGj4OWSM+CRRFPn+xMj5ZZkA+Qa82PtRFfz6YW8Y+5AJ3Po9ZCj6tkQU+od4tPlSqWT7anzs+tFu7Ph3Rgz6vyiY+WCwxPseHRD4PU08+JR1LPtvnKj4SESI+8psnPpUhFj5oOAA+v2USPqmfIz5a6iw+BaskPjRFUj6ceks+Shw1PgawSD7cXjU+bws6PmfkNj7Dezw+ptskPsvwHD7xoCA+trYrPl8sMD4AvkY+04swPkzKIj6+lCo+r+A8PoOAPj4NKg4+IO0TPrjUNj73Xkc+JX4uPrDFFD5ZDS4+JW1VPoCjQD4oGz0+A58+PnUFST5J2kU+c6NHPn47OT5GPTY+aSFTPiSiTj4jNz8+5qGGPYKuij1wd5E9t7SfPeWdoT2Pvp49zXmdPdtYpz1ZT689pu6oPebYnj3nmZs9i0iMPX2Wnz3KsKU9tEGkPfoyqD0BLqs9aBChPc7Bpj1Md7M9WTKfPcNOoD2gfJ89nXWWPfaNhz3534Y9lKmNPbXLij3BUo09fWaVPbJDjj0aa5E9RU6XPflIlT0kPKQ9jqeiPSJziD1+pYw9lmSWPaZWmD1RMJo9KW6ePZcylT2EjYU9HyaWPaj6oT0b0pI9uTOFPdKLfD3kvHw9YWaBPdsdgT3OW4I9rht7PSGvez12kIQ93uCFPQ7wiD0FAIs9MB+OPSa4kz1W54Q9V+5pPUmhXT38YFo9inpBPcs+Sj0A1ko9/DpEPdK7TT2d/1w9ueFUPVYiRD2re0k994BVPQ+wUD3pcVU9Q7RPPYGJTD0qe1w9bBBtPWo7Xz2ts089AZBnPQxWYT2ld1A9B1xWPXFWez0tD4k9BshxPZ5LWT11H1Y9W5xYPZBmdz3gH4o9NoWTPdtcYz2+t1k95g9VPRSlVj0WL149YuhePTLaVj0qmVU9VA9jPe0QZz2b7Fw9kKhsPepzgj0SdYI9pSh9Pdf6aT1lw1Q9UAhOPa/CPj2BiDQ9yylbPYhLaz1ARFA9I+hvPU80Xz3+1VY9QiJdPbamWD1OOGs9Crp4PWQfdz3VIVQ9nrFoPTJhWj0AYlY9KdFjPaDvaj29W1k9eJNhPYuFYT0LMXc9iiV4Pf69YD2bDWA9oAhhPf7/UT37bEY96HlRPQnVWT3Q5Fw9TUZwPfl8dT1VJW89wl9nPYtreT33voM9TbyBPd3qYD1PVF09bJBlPQ9QYT13nms9cXVyPXCeYj2rrmY9wcZwPdEYfT2v9ns9UFpwPbfqaj3IC2s95FiDPUiBhD0BvIc95yt3PWFOaz3W9Wk9OjN3PZTmfT04j4I9KTGFPcoRhj3eUYE9UP2NPf88hz3jN4Y9//mQPfKPmD0LD4891KyQPf0biz0RM449LbSKPUcUjD3Ycpk96O6hPSW5mT1e5Y09OF+IPad3iD3sV4U99OKAPcFGiz3Qv4s91b2IPRf9jD07uZA9AX+SPfeGiD2dO4w9kNyaPWFyoz1cOpY946ePPceooD1JJ6E9wW+XPebBlT1iAI49XB+LPelIij3e+Z89BnyqPQ3Tnj3RHaA9fo2aPUK+mj2daqA9sXeWPVfokj1ToJU91gSoPaYdqj1wKKE9p5WePa/wmT3QRZs9DbSiPZUlqT0llrA9CDOePf+XpD1Tzp49D76qPY2YtT3PLLY9V1ioPUKKsT0POLk9dV2rPdxTmz10j6Q9Mg2oPcdhsT0Leq49PTKvPf60pz2xybY9D26vPWBHtj0t77o9DY25PVcRuT1RYbo9j8m+PfcFvD1WBb499ZS1PTcNsT3vhrI9HeO9Pevjzz1b+MM9zd21PZM/tT0ezcI9RZbFParCuz17G7w995+0PcNfoz3yXqI9jOmWPVwamD1CgZ89SauhPXbjsT0XA7Q9nEinPd7zpz1rxaU9kXmePcNHoz39JqU9neSbPYWGoz0Ve589VHKJPeN+jD22k449dC+WPe4gmT3Md6A9tnyUPRsejz2dfZw9moyuPaUkmj1IXZ89C9SpPX2frD2Fx6g9ftekPTE+rj1/7LI9jtmlPUaSrz2+cKc9J7ydPVqonz3aHKc9a++iPfFnuT2K2L89BNGuPQlBsj3aUcE971a/PSTKuT2kQ8E9z366PfkEtj1w+LI98IC2PU1toz2nD5I9vp2TPcCCkT244pc9R/ygPfAsmT1Ck5Y92wyaPfxZkz3iDJw9wv2cPcTWlT1P+pI9LSugPU63qT2Qmag9hUClPW1Cmz1LrJQ95A+bPbG5oj1585s9ZC6pPR5HsD1YfaU9avGlPYFssD0fp6M9O+CZPcv4oT0nm5U9OpKSPYcUiz3tH4M94gCJPQQTlT2+jZc9yN6QPUX5hT3KLYU9DkmEPWsfez1+3JQ9lCuUPYCKgT1vgYE9TliKPShOjD3MloE9c6x0PTFTgT23QYo9gO2FPadtgz13XVw9ytBrPQnzeD1Gg249uqJwPUd3cj1YK1E9Y1Y4PZkuNz1rEUA92odAPZPsSj3leFg97R1ZPY+NXT3zQmA9mtlhPTWlVj2A2ko9lnZUPa36bD0OfHA9zTFwPbjJXj3PAUc9ECNCPd9cSD0YWFo9rZJZPS7lOT1FsDM95BszPYCLKj0GlCY9NL4lPXN2KT1NUjk9p+k+PUX1PT0Rvj89R7VEPX4FSD2Egzc9Z8A4PSv6NT2rqjk9bX1XPeAibT07WV09A+hHPTC+SD0uekY9LV5UPcODYj18oVM97CU8PX39Oz14lCc9oUMyPXdOKz20RiY9L00zPQxrMT2wpzs9ZmNVPUMXXz05G609p9O+PdMOoD202ew9d08qPhcqGz6zRRk+ASsePv4LHD4I5xw+N5wlPiEKIj7q8xs+ANggPrZwFz5aECE+TSEnPii8Ij528xI+wcMePl0sID53HxM+WG4UPtsRGj7lfR8+TWMXPpKYGD4x5fs96B2JPeD1+jz1Z6U8qyyjPP0gtDze8rY8+HHJPLqTwTx2i8U8RmXJPJvsWT0YZjU+kJ1IPk8CNj7p4i8+6dAtPqFfED6QhC0+FZYzPn3WED4+xCw+Sw5mPjXJQz4OMDQ+grZaPjRuXz6EaWI+HmNfPgegPT6syWY+gKV0Pq42KT4gaF0+9VyCPh+vXj4D6Fo+gB5WPr4QeD7cuVE+khY5PndjPj5iHTA+Q14mPtdGMT7LrDw+OGc9PoicPD5hoSg+GcwrPsj/Nj4DUCc+nJcvPm5mJD7LPiY+GDclPsSoNj7bQCY+r+Q6PuBkLT7+/g0+vowZPonDKT4D+kM+aBwuPoNXHT52bS8+1chEPgp1HD56NC8+7s0yPrWzOj5MCDU+mpAtPpwfKj7TrjQ+TV00PopVOT5eNDs+qvhPPupRcD5/VFg+0zVRPnbyXj6K1j4+T5MwPoYzPD7ltCo+0dssPslrST76R4Y+gdyMPvq2lz7ZoYc+ic52Po+oTz6Yyz4+/wM1PsxvNj6dxzo+gbQiPoCuKz5+8TA+k8kyPqKWNT5ziDk+GUkcPpYCLT6najI+2AolPmsdRD7IFFo+E4o6PgdsJz6dWRc+J6EwPqy2IT4MsyA+6T8yPrVbMD7mNDY+OPQyPq01IT44Gio+t6dHPoqOQz4uHyo+StkzPqPYOD58G0c+ps89PjA3Kz6cRRk+l4ItPhTySz41BW0+PyYtPr7FKz5rYyc+c/IqPjRdNz4QSTE+rNo4PpMqVD4gFzo+d8ckPlp7jD6eBIU+q/E6PiRFAT6i7Qw+SLkxPvICNj76MVg+ixu8PimxcT6OG1s+8ahOPlx6Lz59Tiw+Y2kpPoRZHT7Feyk+0ZsVPl5zBj4hO989YSUOPrM7JD6jeC0+N6owPpIdRT5b+jE+Ru4+PjzhXD7+ezg+HAIhPpBuMT5MyyI+xAAjPoS6ID4n6TY+/eQtPggRJz4jzSo+e+ImPkqALz6YuSw+NKkrPgXeOT7Cii0+/WMsPoSNMj4w60g+jawqPjtCHT7FLTE+J2lHPsp9VD521kk+Ff0oPu7HKz7FxDU+3vRJPmlhYD6VJEo+6e1YPocPVD4zoEE+JEOYPZ7Pmz0m7JI9kFWPPZycmj2PiLA9OxCzPb5Hsz2lJa094vCoPbcDqD0uuqQ9DeuiPcQ1rD0RLKc9mH+iPdtqnz3mjKs9nPG1Pb3/rD0ReLc9WtPFPdjQzD2p5rA9Q1CWPRqonz1XhZg9cTGLPdm3hT0BWpc95dKVPWTajj0Nn5w9dnCbPUauiz15zoo9XNeRPfmgkT0y05I9/T2HPRw2gj3k5IY9YOCOPZnchT3Pb34991CEPR/tgj0C3YA9hKt1PV0xdz2EMmw9c9F+PRrgjT3TNXU9QlZsPXe/dz0j8IU9Cyt1PU3FaD0e1V09vtZWPUQlVT0rlEo9X5BFPT2pQz07m0U9vspHPQx4VD0WjlE9X9pVPegJVj0sM1Q9XplPPZokRT2wHDs9ZLk+PTT9Uj10XVo9YllhPc1NYT2zS3I9Xrh2PSeGWz0yXlQ99jNpPWsKXT2dRG495fVtPaPAYD2CLFg9MFpKPWtUXj2AGXs9rZeHPbWegj0HhGc9cBlPPUdiWz2imWk92xNfPcPTWj0j/FM9kMZkPcmXYj2J6V09h3Z6PT9ufz1WR3M9iBJ9PUElfj0iK3o9OzNkPRuacD2rvIA9QCBwPQCLYj0v+Fc904xXPb5ZUT3Z8F49wF59PR+ubD3ctmA9yX5bPehMYD3662I90o12PVbWYT2930k9cjlQPSPMRj2HoUk9AulCPXkQRz0PfUY9r4xhPSK/fT2baoA9HmxlPZRZZz1nU1c9TSRPPZWvRz3niFI9YRFjPeU2bz0AL2s9I+hkPbWLcD1S9FU9JF5gPa3ChD2n8Jc9aJx6PSPwYD0ZWHI954FwPYYzZz1fVII9iDWKPchPeD3MAXE90GlvPVX2gz0T6Xk9cHp4PSohez3u4G89KItwPVL4iz03JY89DEiLPSvqej04VnY9fjx2PX+AcD0ySHU9Ho+EPUuZhj2jY4c9RgOHPS+GjT1kZI49AJmOPSeciT1kPI093zWMPYbZjj3EsJY9LziNPbaHhj1ZNIs92XCQPbOhjj0Y8Is9vhGHPVh7lT39zqE9NSaQPTGWjj2pE5M9+A6UPafTij1gyno9uyl5PUJcgT3D04o9kjCWPWD3kz01wJU9/BWVPaMOkz3PvY09GX6IPWODjT3poo49HTuRPczolz2bD5U99MuTPW+1jT1PHpM9FLebPVT/oz06N5Q9Uz2MPV2Fjj3K8JM9f/CfPYEWoz1gx6w9oGmtPf8opj1R3bQ9SnKrPTafqz3RZLQ9ihGlPX7aqT0Y0bI9cHGpPYIXuT1HxLg9oCKvPSESqj2qlqM9bhGnPT9jrT0iCbo960utPfPSsj0vy649iOOtPeXppz2qNqU9QECsPQ1Rrj25T7g9HoC3PeaNtz34e7Y9AXG9PX0Ptz1VasY94Ae+PRSsyj0vC8s9Gv3BPbBWvj0C+7s9of26PZyCwD1jlLs9g+O5Pb3ysz1CL6o9ZZCWPYaamz0376E93pukPVhnpD1In6E9rzGiPaiDtz0yZLo9D+2rPWdYoz27jJE9htKOPcIPlz0iCJ09Qg2nPccPqD1r4KE9IYaYPeUhlj3Z6og9leKTPZkmmT3TMp89+zetPR8RnD3FjpI9KsWcPcuXoj1Pxqk9H8q9PYUUuj1PkKc95tO0PQ0Ovj1cfs49gJ7CPeTtqD1Gh6s9bO6tPRFRrT217LU9gebAPY6luj3J5q89B1eoPc5Hrz0F06s9kEejPSJaqD0Bwak9suaqPZhGqz0UfKU99mClPf+unT0ksYg9iAGKPdLrlj14/5Y9wn2gPcQCoj1Gj5A9IYWSPWJMkj0hhIk9A9+NPeHwkD1yUZU9PTujPSeooz2wlag9eVS0PQ7arD1IALY91TmxPQETtz0N/bU9nKasPe58oT2Dk5s9bW6dPQwAnD16cI09XHOIPX/2hD0ZRXk9cr6APbsnjz0Zx489p3GJPaTyjj3MOYM9COh6PU19bT1wPG09kQWGPe2pjj3o1ZA9Sc6KPVQTiz3YaYw9WeOOPc8piD1GeIQ9bdiDPaN3fj041oM9tPttPT+IWz01gmg9qCh1PSCtfj2w9IU9Q/KFPY6Mez2DDE49TV1KPcz6Rj0Gm0k9bOZIPaLDPD2ax0097nVSPcixYj3zW2I97LhYPRLDWD3uJ2A9DUxcPfl7YD2dTlE9Kh47PQu+ND0Wrj090VBEPcf4TD0f1To97y8gPY+UGT0BzRQ9bwcvPSCZIT0Z4R49lA8vPb4pKz2wFSc99o8yPY7xRz1uMk09iHVEPVFFND1+Wzo9sAA+PTU/Qz18dUo9XTBPPaBJTj20dUg9H7hCPfQhRD1yLUs9nvJbPW40Sz1w9UA9YhU5PfaMKz3Xmiw9+UtIPSXILz2LDB49CnwxPR1PQz2CQl49gZJmPeP5XD0Ef3I92SmvPQlyED467Sw+LEAqPhXRED7yABI+mxwZPi29ID4LsSI+YE8rPpB+Gz6IGR4+DeoiPjE9HT5fGSA+BUYlPo8kIT7jYCA+OnIhPioPHj6j/h8+B4obPgofGT4pSiE+hiobPieryT1oYgQ9A8+FPE8MmzxYiLA8Wn6uPHIrrjwjS648RDmxPAWusTxGKcA8nvkiPfOJ5T165jE+hgMwPvjPNz7kPzk+hlIwPmYaJD5ylic+Zy4aPuK+FD5meEc+nrsrPg+UGj7TRSc+nK89PgkPRj4RC14+Kg1OPlpzOz4PuE0+l7NkPj2iRz5wzI0+h/myPiFznT5WGoE+oe5jPs0wZT5taDY+LfFEPmi1mT6G4I8+nr9yPtv8fT54PDg+46A+Ph/5OD6HgS8+fbonPoj9Mj73QC0+3y0iPhhtGT5y7Bg+n7AxPmE9UD6S7EU+hdk6PoxgFT4gIAs+rLgpPvgFQj5gA0U+h8gnPoJdIj7qDyo+WI8dPur5Dj4Uqi4+gQVFPj/bMD4IoSw+vm0xPtfNMz4WhTQ+L04/PrhtQj7Jg1A+XbJIPt4EUD7TM1g+mKxoPmWFez7/r3Q+EsU9PtbmNT626TM+tgQxPvOkPD52lkk+rp08PvqvUD6kilI+g6tJPsUKNj6ThzY+Pb41Pm6IPz7ZaEM+WeAqPg6YJT4RTyY+Rl8gPv9gIj7t2TE+FesnPtfCIT4VqkI+7AgiPptZIT5baDo+jZpNPiCdQz6ObTQ+bKdJPhzHNj6RXCY+iM81PvT2Nj58NTE+zs4yPjJgKD5RYDA+K0g2Psc8Oj7RiT8+gGw2Pn0OHT4xIh8+s+oYPoS7PT4vHzw+fJ03PvrIbj5zMmA+6KgePiPQHT46HyI+PJMoPho7LD6fyS0+6oNEPu0bTj5YNFU+SOaAPtEWoz5FtiE+8okPPi2WDj4EUSc+3nQoPlPlJj6z4XQ+oxt+PqiqWj7yjE0+NstpPtM3XT75bjI+0yYoPkCQET5ehxE+VYwIPiexAD7u8AM+COEGPgIQJT4oBSw+mNsuPq91Nj7ujyk++hMwPtq0Qj7cOCc+6nIYPmF9HT7eqhs+1N8bPj9LKT4TJzs+scNGPr2VUT6c5Dc+dbwyPjjCUz4v6j0+eqwrPv5YLj4cBj0+z9FCPvkvPT7k9WU+ljIlPvLuKT4rw0g+IjU5PiKOVj5UGUo+NCREPs24Nj6/i0A+j45iPgm8aD6KclQ+t1htPo/OVD6tKmg+WLGdPeefnD3/VJg9f2GqPZgFsD1jkKg9JtCvPeIknD231Ks9+NOsPXfurD1u4KY9auiiPVaTmT2CHqk9/h+tPUHYlD0GM5E9TNifPauUrj0vELw9EkutPYuVqT1Gj5k9dPKfPczJpz0+GYY9KbuBPbeyfz0Uy4c95++SPVjQiz3lk5M9I4+ZPWXnkz18Ook9dB+SPXE3lD1+a2s9sL9oPZ5yhT044oI9aRaCPYrKfj3TSG497HxnPQLhfj3tUIM9wlWPPWn0mD3fuJQ92oOKPfe3fD34HG090rRgPZsrcT36b2M9SmFePTCpTD3UtlI9R9hQPcceRT0hsj49Nd5APQq3Mz0cUUE9nrRfPY6KYT1C/0o9ZzlGPUFVTz0Stzw9r3FKPZNqST3TKlM9qF1EPSIySz24jFQ9ct5CPX8HST0G7kk9lZxePXr2cD1RcH495LF7PSJUXz3EMFI9Yt9WPSkmbT0m+no9KvBuPTlNaT1hCnI97bSDPYU7az2eQF49M61WPW69ZT1C+G89JtdbPe6fXz0nJWc9KuR3Pe5Bbz1nH2M9ReVfPbEraT3l7H49Nk2JPeBFhT09mYY9eZ92Pc/Jgj1rE4I9ERtnPbuVZD3JVGk9ymVlPYsodT3ze4I9twB9Pd+zaz30SFw9UjlaPeT0ZD0C7Fk9baNfPQyOWz3SiEY9D0JdPSXFXD0+1GY9SGhPPZXhTz1aVmY9xZNrPUL7cz1ManI9IlhSPeLnTz2g+Vg9lXJTPXR1Uz2gTmA9zRNpPdklYz33oGA9NYVePQkxbz2iUXo9Aal8PdTpZj3mdnA9Klp3Pe2pbz35SnE9zipsPVTwcT0C9Hw9/CFpPQ4zbT3Fgmk9TDpvPZANjT2mjZE93amEPdypgD1NpYE9LVZ/PQpGej06JXM909pvPSIjfT1JFYM9n7SDPbdogD2ndYM9cpt4PUSYij18qZo9ceagPVuRkz0ro4o9caeJPZjkgT3bRok9o1uKPcJekT36HJw9iR2TPeEuij1uN5E9eauZPVS8mj1rLZg95XiWPWd7lz357Zs9ytiWPZ0akD2lh4E9QQGAPaU4fT2VlIk9rTOEPfRwgD3jA4Y9DUSPPRrEhz064Yc9N1+NPd/nlj3enIw9KuOCPUxDhz3RTIo94JqNPckVlj1F4ZE9griLPcI5nz00yJk9dKuGPYKIkT1vM449AOeKPcxWlT1O9pE9yvCXPcy9pD1nI6o9CtejPV6Snz17nac91M6hPXQFpD1oyLI9bJSnPexTqD1xa6w9q1epPQYDuD0d4r094Lm4PR0Asj3rxb89Uoq5PRd4uj1Gurc9DzarPdc4qD292rE9KXy1PbH9tj2YSMc9CYHNPSBA0T0m2cY97YPAPfNSvT0C9b09ZAbHPTJAvT3cPMI90jyuPd8WrT2Fkaw93jaoPRxepz1a2rk9Gva/Pb6qvT2wvb89tTe4PcGSuz3ROLw9CFGmPdymnj1cX6Q9x9yrPfpypj0Y8p49/IyuPftqwT3tgq89vfmmPYYfoT2guZs9R86bPb4Jmj3r/p49nmSbPXj+oT1y1Ks9gpilPXfqmD12wpw9RDqqPQiKrD1mMJ49zJerPTP+pz30xaI9JpuhPb8srT1koKk9egK4Pf+ltj3S+Ks9xeC0PZiVrT2n/qo92gydPcRznT1JWK090C+/Pb2wxT2/y7E9Nj6wPXyQoT0dnpo9mq6bPUvIpz2yvKk9uR+sPVQSuD2DbKg9IemVPScJlz0vCpE9r1eYPWAQlj0IQ5E9OOmLPdUwij1GXYU9wY+GPZBtgT3MiYg9RvmGPWz8ij3zPpA9aS+WPUInlj3uIJY9gZyjPaixsD3iZag99NihPaSdqz312Kk9ZhelPY0aqD3WP6g9sFOhPa3omj0m6Jo9UNeVPT2Mdj27nm49ViaDPa3skT1n8pI9agSWPbyWlD28aZU9lziIPdQAfT375HM9vpCBPckkez1QaX09YmaDPcFakD14qJU9K7GiPbupnT3LPpk94P+EPb3lgj2tyYs9cNaLPaYRfT0rwn49wol6PXhJYj3dpHw9Cm+LPXDYhj1KDHc97et1PTV/Xz2FElY9OSNSPZKWPD20ETc9oCNNPZxCXj0643M9e2duPX70Zz0Bb209jYxYPXFNSj3Qsz49XjpCPZeFOT35BEc9WHlTPQXzUT1INEo96JBSPUjLMj0KHiw9ZXslPUJ9Mj19dTE9dqMkPZorIz0XPxw9n70oPfNGMT1ULUc9Cw9UPSDhRD2/fjA9q5YzPQ8XLz1EWzc9d005PdX2Nz3dOkQ9ykFRPRsESD2DaU09oWxLPSg9RD0inUc9y85dPZXrZT2UpFE9cJ9BPb4MJj1m3jM9ZbyEPVISQD3xRTU9WBUvPRmPPD0TzHc97GqTPQz8mT3UIfI9yzw0PvWbLT4RriQ+7dUcPvtgJz7N3yE+7sEePqm3Kz42fDE+IaIrPm0FJj68/yM+DMMmPkEHKD7i3io+C78qPrrbHD7j1hk+wAEVPst8Ez68Kxo+N68aPoKXEj65tAM+j9fGPQ5cCD27bGQ8ARWEPMoMjDwOLJ88BEuwPIdirTxfjJ88CwuOPNAMljwCGvk8fKx3PSnK8j2BDzQ+kVIuPo05IT5j7io+VfE3PgviQz4X/io+McUePqbNFj4DFT0+7H4xPmqLKD58Oyw+/0kjPsi7MT7QL0I+PzdOPlFgRT403E4+YTRYPth6UT5lOI8+demrPj7Slj5SRoI+gA5qPoobVT5vPUQ+1/wzPgEPij5STr8+paWlPnEAcz6Xf3U+AnVNPt0DKT6JgCk+MeEtPgghLT46YzE+pcApPkK2Iz7S3Ug+0ZdQPl8NVD5B4GI+fF9HPhB3Jz64oRo+r8w3PhD4XD4OAk0+tsYoPsOgID7Jvww+Z1IXPvQrJz5U4zE+2R42Pu8LMD699Sw+Z28nPjfFMz61ATo+kh5APkDqLD4aHkM+KY82PtNJIT6pnEw+rINPPt+5Yz5faWU+OeYzPk+wJD61Yyg+luYtPsKkRT5iOj0+rgQzPmvRJz4Udkk+M352PktFQz6xt4E+CHVtPjL0fz4t/3w+NFBSPiIcQj7kWSs+7RUxPjhBJT7G3SI+aagbPncsDj6bFDI+xL8oPr/fGD4fsy8+NyQ5PmDpZT6Djlw+d+M4PiIBNj6cjj4+UnIxPkCdSj4POzo+Uws7PkKEOD5Lgz8+HRQuPuVaEj6GyRw+L7Y1PuAnPD7PySI+TIsmPotvNj6qPyw+m+cePhzbLz5syTc+ltwuPkM3Ej6mEyk+RakqPsBiFD6A4xc+e91CPs+jNT4rpQ0+iwNVPo8pej5yOVI+mFMUPtDWEj5eTiU+wB4vPqnsNT6umjg+zlIsPv/EOz6saUQ+zthQPmPROj5hoTc+nR9KPjc6Dj6J7f09bh71PQJrAj7V8SA+WmBBPgkrOj7OuS8+YIQ6PpYZVT5XnE4+16k5PhzgPD4V6zA+sMQ4PiRLOz6GWi8+6x8xPrx1PD57fkE+LAZJPvXgPD7Cdig+hNYlPlfhcD62xHE+APM3PgP7Kj6lijM+EF09Ph+5LT4j8i4+w4g4PjzNbj5cflg+hZgqPsBOKj4uXD0+ISA6PvQ5Oz5AYTg+ZztIPrcnWj68/HY+Sd5fPvMBSj6ERlM+62XYPQF7zz1uIbw9rkyzPbCTrD1Zxqc9QUOyPXt+pz36w5A9WqiTPe+bnT13GJ89DAyVPduBlj30cpY9b0uPPUwIlD0mbZ090kiePV5nuT3r08M9Zx6qPWiZij15BZI98qaVPbTCgj13r2s9pvqFPa20jT11y4091wSTPTTemD1U/Z89oriwPVcqjT0POG49v19bPXX2dz21woY956J9PQoOjT2bk4w9gW2HPQS2gD3SxnA9ekCGPasJiD0Rz4I9OPl/PZRHhz3eVok96PlvPXLFWT3PZF89tlVnPbNTcD1FRHE9cGNXPZlVSD3C9FI94KFNPQBfNT0xnEE97Y4/PQmFRT1apVc9JRBHPTmhQD20Zjw9iytaPe0pbD1gYGc986pePRaOWj2jvlw9RFlXPYNCTD28a0495WxRPV/AVz3uc1k9+7BlPULxdD2fHXE9QSFfPQ7KXz12Z249GZRjPTW1Wj3XJWM9jCVlPbc7cD1BjXw9FPdrPX5mej1mnnY9OMVqPfOhhD07aog95cx8PSPkfz0gSnI9BYRdPeQuWD1wgFk932FrPZ7Uhj3nlIQ9aNNzPZpgYz35NWg94nZlPRK/Yj1Nv2k9SBplPdiNUz3dIlQ9F5dmPUusgz0xT2w9koplPXfcXz3bolY9ZgFaPar3VT1KAUk9uDg/Pf/BRj2Jo189Hb1gPUcJYz3DlWE9EDZQPcfnUz0xsl49akxdPXKgcz05VG89papfPUfxWD1I9Fc9Jf1pPWQ8YD0WOF49Q4NtPWVZbT08foQ9DGp+PbW/aD0dNmg9VINjPbfNdD0zhIA9Nl1tPZdCcD2r7HQ9Eq91PeC4aD0Bom09jy5wPZyufT2aO4A9lq1xPUu2gj39F4Y9jpuAPQbAfz0Ug3M9T2FlPU0Hgj1kHIA9DVCCPQpPcj1dj3Q9gAV0PXr8ez2Pm4M9gkqNPcRgkz0Fx5Q9GDycPV+tjz21bos9z++EPaHSjj23z3s9L899PWcaij0PWpY9muubPaiznT1a1Jc9svGXPU9vlT1nupQ99H+aPfGplj2FlI498DuMPdEYkz3DdI49DEuAPTwKcz1LX4M9vguNPSISlD1akJM9D3qKPeJaij2/5ZI9SVqOPSMrjj31pZA97ASJPWWmjT2POZU93ceVPTR9kT1+q5Q9g0eYPbi7mT1gRJ09+KKdPS2yoj0hM6s94IKmPU30oz3tK5s9TNK2PQiZsz2M2qE9na6fPQZnnD1VKJM9zzegPVY5tD1RjMg9IAa9PZObuD3Kbbc9tQewPU7uwT2AksQ9083NPQ9ByT0rcb49P6q3PQxQtD3NZbs9tHC6PcV6tz35gbM9zM/APf23yD3iI9A9HLu9PZhRtT0Lcag9AXeqPYCcqj18N609OkfBPXPvwz12esQ9xVW5PVWupT13Q6k9MEe6PfxRwj1IzcA9WMLIPZEcxT03+9E9bK7APVG+uD0yrq49J+m6Pam0wz3jJ7Y94fe0PSP9tD1S8rg9PYG/PdQjrD3Z5qI9xkaWPerklj2xlZk9SfSgPZXWpz3ZEq09Ix6nPXgYrz0kVbQ9QTW0PaQ5qz1g/b496ZKvPVVbnz2oFJw9vjOlPTNfqT2diag9MkusPedUtj3niqQ9GMu1PdQasT2MO589og2dPfNqpz0PKKs9C7yoPQRirD2Nrq09TkKmPRyvpT1YHKI9vOShPS1koz0k86U9qA6pPUPypj2TTas91dipPbO9rj2YaaA9FP6ePejLqz0V56M9ZJ+pPakMnz3pXI093F6IPehzjj2114w9VlOIPYb9hj1KGIY9EHWSPd8Bjz1pyYs9GE6bPWq4lz0UqJk9QNioPbkQnz0vaYg9LQGaPU5rnj2fGqE90mmpPebpnD2si5w9lzWqPb34sj1+FKk9ZGCWPVBzkD0W6Jk9X16TPTvvjj2L7ZM9gg6KPQQflD3xnJU9WACXPVwckD2YvoI9Xn96PRc3ez07Nos9F0iMPXihkz0GUJ89GOOcPf4qmT2RIpM92i1xPcsCeD0SzIM9Q7ODPXqOiD2XMoc9CDODPedhhz0q5IA94X+JPYQveT0b7GI9sE1kPUVsZT3U9WA9Qx5OPSRQTT2TM109zYZdPQ5+cj0ktm89u2dfPdF8Tj0rfmA9o15PPTvxPj1cLz49f+JQPclwWj2B5Vg9X39bPTmeRj2HWTg9J61IPaZtQz3doks9LbhAPSiqKj1DKzE9Z9YxPTLGND1/Yjg9MQg8PROkNz2wbzE91bgpPadNIT16iyE9RoItPSeEQD3Yk0Y9TQRPPf3aUD09FFg9QStkPWi7XD3MV1Y9VjxWPfGuTz2alGE9Q19TPSMDOj1iKyo9D78iPXFLHj1htiI9MislPZTYLT31jEE94Rw5PfqhTj2JepY9bqncPZ3V7D1JtRw+QwFAPmcfRz4m4yA+jeMZPi6CKT58uyU+5/AdPqezJT4O/C0+hbwtPjl1LT4sLSk+aF8mPmbYKT6fdik+GZsnPqN9Ij6DbCM+/64kPmlSIj4UrCI+f58iPhcsBj6C/1495dhbPNwNezyCbn48PPiaPA8ZuTz929M8DQ3zPL9eLD1dUow9AdTOPXs++j3WVhc+CJcmPnMAGD68diI+buIlPo3lJj49oCo+rtsrPtEGRz5oETE+vlIYPvGPHD5s+jA+Dl8fPkgGCz5LgjA+i2QxPjbjKj4xHTM+ZilDPuSZNz5NMjU+AwJaPvzMZT7zFEg+/KlAPlm+Rj44Ezo+yhdNPsxFUT5S0lE+DmtSPqCfSD5RZYI+p0KNPmA/jj72pZo+fS1wPjf0PT5LkUQ+iQs+Ppv+Mz7tejw+rp9IPkbJYD7Vx2Q+lOUxPrlAHj4wLjg+sWpNPnHjRz6aIkk+CxNYPsiGez6c+jA+/qYmPkgXMz4oWRo+rH0wPu+6UT6R4zs+ZBs2PlTZNj5TKkQ+FbtFPrGVHD5RHCQ+umI1PleRMT7EkTo+6b8vPnAJKj4bejo+IBwyPuJQTD4jEUs+/oYePjUTKz4uyi8+iXQ6PsT4LT7wJiM+ARkvPkS8KT55GC0+0zNIPrtiSz6moZQ+k29tPmp4ZD5LK2s+jlNuPnEaOz5ATik+xCk6PqT7Jj4+6SE+LqchPkTNET7uR0s+WydLPnFvQD4CLyo+jNhbPv7GWj4L9Ds+M2UsPtvaKT5+iUs+yl9NPl2OST5XiU4+7l9SPg3jMj6gFzM+kGshPsjjMz7MVUE+B5glPoElQD714To+mH49PmiXQD7yaDM+Ex0mPmWPIz4bZhw+IUMoPjsSHj6ovB4+DosZPlnWHT65mEA+3WI9PgPtJD5UqxA+mecnPlgaRT73Aj8+nV5SPpRMRj6pGUY+cfhHPvldHj7suRA+Bh4mPmetLj7FqjM+Gng9Pv7vRT6OxmI+4bhBPpWsMT6w4Bc+A0cTPhyeGj6dvC4+cIg4Pj5bRT5Uajc+mzk5PjspOD6N90w+X3VCPkqlVT5AiU8+vvRLPsdcPj61TT8+GrYhPl5QJD6FXEI+Yp5GPq2LQD7BI0o+51FBPtJvYD61SlA+VbAWPrHbFz6l0yU+1HkgPukIIz5Ujig+8HZCPi/qWj4Zsjs+b9wkPtoAGT48Xzw+tUMxPgqlQD6M5F4+5tZyPsOBPj4f/kQ+xydaPvmWTj6cF1k+EPHUPWbh6D2dKsQ9MhWsPWrapD3UYqE9CrKWPSQhnD05VaE90g+bPYtYoj2FaLE9ESiyPQO+pj2nuK89kImWPcQYlj182589AoGOPfEnnD3gd5s9WN2PPYqvjz2U4os9Te+APfEakD1NEZY99qmIPTHmhD0gqo89N+CePcyJmj1si5Y9KwOIPeIWaj1+BH89yquFPYS/dT1J84E9V4CBPUFVgD181309N5OKPQ0jhz1IHno9/gmAPeVgaj2JLnA9RqNkPazJUj0H3W09iDhvPcb9Xj2lnmA9pTJkPe3nYj13ZWI9VmViPU4AVT1EDUo9wB9hPavnUz1MjEs9JCpNPR7nYz3AGmA90MpOPe4PSj02q2Y90sFmPTROXT0Tqk09VVRTPZA2YD3oVmc9pUmBPU+zhD31v2s9aKRiParCXz0gMV09PZ5kPZpobz30fHM92klzPeHoaj31FW09TbBkPUMTcj1KMXQ9Wt9nPc//fj2M8YE9lXZ7PTFxcT1ki3g9VG2APY1egT0JSm49Pv1fPbxJXz2EmVU9RFBZPUL5Xj1KOGY9DQZyPbLRYj2ce1k94rlYPb+rcj2cM389ufhrPQo3Yz37gVc9x+ZLPTEQSz1/GWo9fVVwPYNAVT17XWc9VRRvPTVOcT3gZ3E9VjFnPYfuWD1sRmQ9ssBkPR5VXD1unF09abpSPaTMRD2/TlU99V5dPbnkWD0rLVw9RBVLPWm1Xj3MAWQ99e9WPSv9aj0CU3A9yYluPaKLej2ORH89ZkOHPTqxcD2QfG89zdxkPQRXaT0Dwm89dh+GPU19fT0P1XA9aQFlPYjtZD3QuXY9o8tzPU/paD3PoXI9tq2BPSCVaz0g33c9Fg6CPWCJhz1wpoI9ilV2PTgHhT3+m4E9muuKPfPmiD2TzXs9czuDPZ+9gj0zNIU9rFCFPSp9hj3AmJM9CO+WPYD9lT2F0pU9WhiQPdKejz1dbJg9a+CKPeI7iT2V3ok9b7yJPYHSjz2uS4c9qTKOPW0Aoj0VM6k9YQ6gPY5Ipj0tgqE99hCaPQjTlz3144k9vjOUPWEunT3n65Y9ds2SPfkAmT0F/549q66jPRluoT1X8pU9okOPPWnUiz3wyZY9osSOPXcrjj0QBY09lmuTPYC/lz05zZs9wXiWPW1omT1zaqM9BvCZPShcmj1JIqk9TD6qPRQ0qj0URKQ9XoGgPYh8oj30pq094vXGPXR9tz1d4KU9B4GhPS3ipj3hpqc9QDOzPfrBuj36Srk92dK7PY8StT2pd609pfS3PSk/sj3TJLc9bA+1PaM1uz07Y7Q9h6a2PepRwD3zU8E9n/KxPQTcrD34CqU9aQGvPdi4sT3hhLM9mZ+jPaUqoj01caM9RfeoPTJusj3dQ6g9sFiqPfXxwT0qhMQ9a2vSPf/Q4D2R/uU9AOfFPc3yvD1ZkcA9OauyPTQpsj1d3Lg9iaXFPSSuuz2dqbY9//3MPU320T1HX7M9YBymPT+vpz16V7c9l3i+PWCYuT29pa09F0iTPUDfkD3R3aQ9uIOqPUZHoj1DwqM9pfOfPTM9qD103KE9yBCvPYzHvT3lGbY9VpmgPZmRnz33zak9/zCpPYaDtj2NFbI9CsWnPajzmD35IKQ9LnKoPY01oT3x4589eJ6hPRTAsj1re7Q9S5SpPTvQpT3/wJY9AwKWPcRgpD12tLA9Oc6zPWLvuD2+zLM9F7KwPSjTwD0v3LY9yK60PV5prT0nP6I9ggKWPU+Ykz2Ic5U9TZiWPSHbjD2R7Y09pWeAPVFmgj0MDIs9Pa+ZPXJLmz35i4s94iSJPeXTiT2Ptoo9hfGcPd6SoD1SoY89gy2BPWCJhD3hVog90hCaPcdMlD0HDJc9BWynPXDyqz091ag9cFKzPTVjsz1bo5095EeRPW4wlD0VTYk9FxiEPVeqhj1aWY89bjeJPU4rkD1xn5Q9bDWjPUzLlz39Lok95lmePeQ5lD3piIw9IhKJPZnohT3Zyoc9Cr6FPcC8hD39J4g9vP6BPWiqhD0cVYA9McqCPS7QhD3d0Is97cmOPW3gaj2tRWY96lFnPeXSXT0LFFE9dH9cPefCaj1Dgn49e7RoPdAIUT37+1Y9weNTPct9Qj0WfT09mOlDPaxMSj3bxlY9ueBMPdclRD2/i0498pVOPYgfTT1bJT49TyQ2PWxrIj2N9yI9yRVRPV+saD1j81Q9nYA7PQ+3Mz2DLD09YT9WPVeGPz3v3Bk9kdYaPbOXJz36UCw9bPswPYBnKz2OFDM9LOFPPRoZRj3aO0Q9kLJWPf2ZTj2V2U493sNAPa5mQj19HkE9IbgrPbqDNj2QnTs9Rp0uPbcBLj3CdDA9IIgnPdsAKD1mgyI91A4ZPTgtID0HeSE9N/ERPY0rOT2pDds9j8wePl0CHT4U2TE+mrUhPrbOFz4szBU+fawjPs2RHD7Uex4+RtAdPsS0Jj4OKik+o7AdPqwbHj407h8+SgQmPufxID7dOSE+83IQPtR6Dj5U6Bc+6YEZPrYhGj7TSxI+/u8TPrtSrz2bRI48v15YPLkYiTzH3Y48tUEAPVA+lT0k6rs9+dntPejpHT4/DyA+tVEYPq47GT4Hdhs+nxYlPhr7FD6aZSc+GMEdPvl7LD5vZDM+8Kw3PtStKj43CRg+6EIYPmKoJT6+RTA+2b0yPmQOLT6nRzM+8LAsPufdNT5W8yw+VJ42PrEZQz6ciEE+WD1LPjwOVz7yskE+CdwvPvz0Nz58S2c+qV9aPgykWz6J6Uo+dj5WPlT1XD4XZUM+IyBXPvQDaT5qqnM+Tr9KPlg4TT4ZZU0+M7BCPj/gRD6Kb1A+iftaPkNOiz6SWo8+YJNkPrN9WD6M6zU+S84fPmsoVD5v0jE+a6FAPvcHTj4C1yU+5TkSPqe5Lj5KeDQ+ehJDPg94QT750zs+ad6BPiYOfz5t0VI+mEtjPqofQz4aByI+9IUzPjzlLD6bVUY+eiZPPrWSNj7lCSQ+v48vPunjRT6pPkU+7TQ6PnRhTT71jy4+dbcyPljXRj4ijTc+BNFGPpFbQj5Qyiw+v1UuPhLgMz52dUI+VoVTPuPTVj4QSHY+AthfPm2bLj7DtjA+sG0qPoOcIz6jty4+s5AuPhO7HD6FSjA+IkZCPs/wNz5LGx4+ZIBXPqQXXT76vDI+F3I+PhbbHz5Bv0o++DphPnLJUT4ZPTw+gxUpPs+OMD7nKWA+IqdFPoFxJD7W2Eg+uMs2Pof1Jz6fFzM+w85FPuhbUD4yNyU+BXYlPqWWMD60Lhk+9AsPPvhMID4pDxw+IwEWPk+qGT5IRUQ+qrs7Piu1MD5wuRo+IYUxPqYnFj4uHkE+LU9tPhdRSz7V0DU+JLA4PqhIPT57nSk+ROo3PiXxPz7mlik+rLYdPt6MFz68wig+YAsvPr4UID4SIx8+2qEUPtJIJz76Y0A+vCw5PrxiRj6rHDE+AI0wPqyDKz6s40U+NhRPPkdETz4x+C0+5ds7PvLdNT4vyCc+qfUiPr4TLj4Mz2M+1plNPgGaaj7qTWg+/zgqPgF5Kj4HqUg+WBAoPqEzHT7TPB4+7WcaPsptET6rDy0+Tww4PkoSLz41zDs+y01BPhr2Nj4XFE0+0V9cPp3xez5c/YA+jJpcPj20Uz4NMFs+4k5OPlNIQT6OyV4+HIvpPVT18T3LZ8A9USyZPWeknz194qo9OLKWPdZqiD2135w934agPf52mD0NMKI9xmmpPWaInT1ynaU9eNy/PYFRpz2TKpM9ESWgPTiGvj1LNrE9O46RPY6Rgz35joA9EqmLPWo7kD3DnYk9EGaFPRZHij2LXIo9p1+LPWI9hD0ufYA9/YBzPTz7fz0JTII9LTGKPe20jj28xIc9iyZ2PXoucD1BKHI9N4Z7PWVxeT08bnc9x5BzPSbaYD0B1Hc9zihNPYi3VD2YtWs9SEOKPROuhj2+F4A9b3toPTsaaD0U7lE9vfFGPcSaTT1/MVM9qeBMPRqeTT196VM9ObxjPd9ghT0/J5A9ngxjPTiBTD0/VVU9ST9cPeUJZj1P/GE9o8JfPfNnZz1KCV492QZnPWa4dj0K1m89izxaPW+1ZD3bBGI96ThoPdNbaz1jK249XxaBPd2+Yz3E2Wg9Jd58Pf5fdT1/oWI9DChdPY5FaT3vcXs9NpaNPRSqgj1hoX09ITOAPQgBgj3j31k9vC5CPekCVz1Qp2E92A14PYS0fT0oTXA9LVJyPZYHdT30E2I9vyhyPeHUdD1snWM9OZ1nPddCjD29N4A9gnxjPZSzSD2kcVU9rfBoPY3BeT37Ono97MCEPTUOhD2e43s9aORuPTsFYD2mF1c9OkBQPfYiRz0TG1c96XpXPSqtSD1TOE4933BLPblZST0rSFI9+j5YPVOxZT0DR149DoJYPRAiXj36CW09y5R5PW+jhT10k4E91EGAPQKLfj0VR4M9nZN6Pblraz3zKnA9lDZ9PddoeT2FvHA9dKJ9PRNMfj1MpoI9kXCGPTCUgj3lE3Y9Fm9zPSLodT0FsGs9M9OBPQ74jD20CoI9cUyBPWhFkj22u4c9FMZ/PQW3dT1+M4U9xZqBPbQFbz2Q3YA9SRqEPXO9jj0RY4c9TG+GPdpEhz1NRY89m3KVPVcKmT3NiKA93WKZPa/Njj1BlJI9M9mkPUyfnz1YgZI92laaPWBnoD270ZU95wWTPVXNmj29cpI91fqSPbwRkD0lCYs9DuqPPbOymz3QkpA9at+dPV5dpj3a1589znSVPVVflD2Wb5I9pueLPRy3kj1dDpg9SkuWPWFnjT35N409gUKWPcVXkz15YJU9bmGZPUAioz22HaM9rFiiPUaGoT3M6ag9t7avPfZqtD2RHLw9dW+yPbkorT05ybU9Chu5PSa2rj3lw6s9jNWiPY/RrD3897E9fmayPUi7tz2miLU985q0PbECuD3gLsI9sWu/PYTXzj1qEtE9G6zEPf88zj1oN8g9lAXHPZaNyz1VKbc9kVasPY5brD2yKKo9TdCsPfsqtT0T6bw9OeS8PaQVtz3OVrI9sne5PaIUwz064MY9tLO8PWMJxz1sBNE9h6rZPbtryj1AEc095NHLPfdzxD0nfbM9efuoPfxotT28UMM9BjC4PVT3sz35XrE9PneyPQ4wvT3vGMA9j0G7Pb9Qxj0S28M9gRawPW7jnT3TpZ89r76cPQximj3oSKc9CfmlPY9YmD1P+5s9l7OiPRD3sD3tx609laa2PUBbuz0UbsU9snm2PUJptT3jdLU9i1CwPUr4sj1CUqs9vd6pPYyyqz3jxLQ9DxamPSBcpz1aP6U9EgufPdF0oD0AIKQ9rYeaPayboj3dP6I9PW+sPbrQwj0xDcA9gBStPdPDtz2PgcI92lm+PTXtvT21xrA9w1CzPdc/tT0HQaY9kVWLPV2Vhj06FoA9HmODPaiChz3mUoQ9AyaFPfcHiD3O5oc9SmaGPeJMiD0XT4s9dZuPPSYLjz1XBpM9El+QPcKuhD0wHoU9t5ODPY9fiz3GBJQ9JFiZPctfnz1RVaA9OuSnPXB2pD0NWK49hUquPTVKoD2d44Y9qoeCPcR5iD3geoo9ADuUPa3Kjj3/Fo89FuOJPYhsjj2kaY09l12QPZGiij2+nYY9VoWJPTGNgT3x8YA9R9SDPUE+ij25z489OMOTPeVImz2Ah5c9TZKVPforjz2JwYk9asGGPbewfz0CGno9rOlvPfTFXz3YqFc99iRdPRQXcT2rlXI9N8N/Papfaj3DUmU9iFFLPdttSj1LSUA9B6w9Pa3YRj3hCk891TtGPVxcRD3nCEI9Wf0+PbtYQz2EsUI9bHA9PSGcND0zcjQ98a8wPZjNOT1LjDs9KmxFPdU5Pz3NTjc9+n88PRvKSj2dtmE9pCFPPbfWLT2Wxy89EHgwPcxDLD1fNic9tVMsPYRRMj0PnCI93YYjPZFwMD0IfDM9FkU5PQs3OT02ckc9+Zw/PWPOOD0qHT49gVczPeX9PT3zyz894fFBPSJjSz0OZTc9+aIqParOLj3YbSs9ygIVPf3CDj0ixwA9kGQJPdJvGD1nOqU9I6wjPvicPD4zXzg++C4IPhmCDz54MRw+jX4aPiZMGz73pyg+ehYiPkafHT6MwiI+TgQfPpOHGD585Bo+frckPloSID5zNB4+4cocPmlBDT6IIhc+iZgjPgCiGz4gQRI+uHUIPt1Cdz1Z1lM8czZ/PK+ukjxsLx49drvvPbKlID6AOCs+2+IlPm9nGz5/Xyk+TrIbPoJNFT68jhU+QJszPpMPMD7LPAw+5YYfPiv7Mz4qWlE+LVtLPtJNLj45MR4+U5YjPhREOj7uBDs+wic1PvA4Qj712lU+hPMxPr+xJD73SRc+k7cvPsUUQz4hZUw+38U5PjxwLz7/K0I+pU0nPguMMD5g3VQ+T4dQPk0oTj4z+lc+6slvPuhLTT7bSkY+Mrg7Pq/GLD7oXkI+XmVYPuBWNz4AvDQ+EUo5PuaYRj6s6lk+X4tKPhaTRT7KR20+mzhcPjPLMT5/ny0+h6cwPrYuJD5qzyA+LO8+Ph6OQT50IxU+A1sMPnPiIj57hiw+MYQyPrEhLj7fbz8+ER+APkxzlz6Fnm0+I6hRPr+xVD76HiA+70shPjuhLT6XfzU+QB5PPt7uLj5URB0+pk4mPqy7LD4t5jQ+UNpGPuewVj60ki0+TkIwPlq3KT6+eCQ+y6AzPqNwPz4dgjw+CQQ9PryzWD45aUE+wiouPh7NPD6DYEU+l4R8Pln9Tj4xcjI+R7ExPv2fPj7CpTA+6DAfPsYLLj6Eek0+YYE8PnZyPT4CzFk+iJpfPozfRD4yrzc+Z69JPqe2PT6Hbxk+PZ4dPoTYLj6aSUw+6R9HPvVeVD63BFI+c4Q1Pha2LT4GoyY+AX1MPkpEHz7HiCA+sKcvPm4ANz5TQSI+NYIsPta4LT7y5CY+VnYXPqYqID4f1SA+0bogPhysGj4+qCU+lqUyPmUvLz67rjw+v2lBPkvSID4IAi0+9Y5mPjU0ST6FUzo+Q1xJPtZaQz4a+B0+5R4uPlIuID7ofiE+n18qPtK/CT6fcwU+m7MKPob6HT5TBB0+hPcXPmn8Jz4Ei0A+ukcuPvzBIT4Rhys+oR07PhsAOD6o0is+a7hKPuKHSz6h+Bs+YwxJPuJuTj7/7GQ+vGA+Pk/HLj6OVz0+vB48PvzhVz5A1FY+OK85PutVJD5Ohis+dVkcPhOyIz4VWSU+0YooPuG0Kj6ltTA+PdMsPgeXHT4NViQ+G+Q0Pjg6Qz5H804+CPJTPt5cWz4MqHU+wiNwPtjBST7Dt08+pBVVPgMPST7rmjY+7370PaVa1z0M9bw9jFe0PWdArj0qR5Y9hoiRPdALlD25IZM9KdyhPVR4qz1cL6k9UJCyPa8bsD3dn649gtW4PTbquj0+raY98tqpPdQEpz2YDJM9ryWZPW+cnz09+Jw9xS+VPZpsgD3oeIU9CCqQPRWqjj2ueYk9qaN+Pbgubj2A9Ic9oXuJPc8Rjz0zlok9KRKNPVspiT3w3oc9jC2JPfDPfj0j6Wc96ldzPefMfT2VOno95zlYPU4uTj1gQG49pbJwPWyDWz3683s9GvB6PWRfcD0rimE9HwdaPf6fMz2psio9KF83PQZsRz32vEw97ZFfPW2Ndz3TLHQ9ShdmPVE8XD1cIVU9YR5MPZCeRz1yX1Q9giVVPcJZXz0PQGI92pF0PfdHcj3puGk9imhlPcxnYD3vJ1o9fFFwPYppaD2lz209qKqBPdB7cj3zgGY9giRZPV4RXz3lUWo9GG52PedBdz1Y0IE9nHF0PRbjaT0VGHg9rfiIPeP3fT2jyWs9Q1VdPXB/ZT1JGnQ9d+V2PeukXD1ydV09vHGCPTqCdD0ZuHY96J15PePAhz3cSW49TutQPQhsVT30T2M9qqdvPfLXgj2L3Wk9zAlNPdPeTz0nrmQ9dAGBPe+Uej3IxWo9++17PdCCfT1idFU9fQ1aPdGlbz1tLXY9RDBrPXvPdj1HLF89i7BdPSqTYD1qpk49tCxRPTDwZz2w2Fw9DFdmPfQrWj3/7E09enVQPWRPaj0P7ng9euOEPXwcfj3O/II9vLiAPXS0gD3IFHU97HBgPXrDWz3RKmg9n86CPdf8gT18i4M9noR2PRYlcD2XbYA9MPiAPew1gD3FhmQ9yEpxPd7rZD3kS2k9YBltPXIWbz0MVYE9cTSEPYGDhj0LU3o9Wx6HPanRgz0FV389x7twPVFMbj18uXA9kimKPULliz1rR4o9F02LPeuxdj0rXX49vPGIPYAalD3EOpk9j6eUPakNnD1Ehpg9KhyYPcsskD194oM9Ic2JPRw+iz0elo89EzOOPUg5iD1uRYQ9ekqJPZFEiz1Vwo49M26HPYb8kT1C4pY9CT+UPbIqlj2Gf4896HiJPW+CiT2gYIg9rVWMPbyTlD1HkpM9oaiKPc6OjT2/6o896zmPPYDnkD2h3Z09LyypPdcfqz0oKqY9/jipPa9JpT0dBKo9ewmZPc3Ikz3rFqM9i4qmPbJqqj29iqg9lSSePaaroz3DDLY9n0qqPa6dtD3kna49+uyuPQ/fqD1BrqA9BeWnPYQcpz21Jas9VmmuPd6ytj3c0rM9Q6S9PYYHvz01Nro9v0WyPVBPqj2Vp6U9OfukPYhMrD13xqc9hdyyPWMXwT2PHr49DknGPYF30D0DW8U9BsvGPTVVyz2hqLs9Wne/Pd2SwT2O0sY952XOPTJZwz36I7o9PiXIPV/PvT3t7rA9PNCqPQ92sD1oU7k9hNzNPev3xD1IZbk9a329PXg2wT3F3cY99zjIPfvGvj02a6A941aWPYlrmD0mop09c66aPVVdnj1shZ89eFylPX+IrD2vqqo9BBmrPS/ytD0urLQ9bEK7PeWzuT0ClsA9Uhq1PTEusT2sQrU9/Qy2PZBivz3+3789WQu7PfLEqD0c0609rciiPQ2pnD1WeJ49vj+iPf1Mqz2u47U9mO2uPQzDsj0Qm7c9m4PCPdWexT2+Kcc9C+m2PcsSrz1Lx7g9Cye/PRr2uT3XmK09SPOaPfzRnz1d2pg9U0OQPRfcfj0XBH89TeWGPdqCiz0mE4Y9t1CJPUPfiD3GXY49hnCZPcbInD3GQJc9EsqVPd8yjD1W94M9GIuAPeACiD0g4Yc9baaOPQUClT3+kpw9M6ucPQYxnz0vQqE9cPydPWpYsz0NMrk9mG2yPYbmoj3LKJA965OGPWMukT1A3Zw9H5mYPW6emT36GZk9pvKIPfkchj2bMo49p9GQPSGWgD1yXH09gS91Pa8YdT39lYA9QYmEPWaQiz0RdpU9VSiaPdN1nj1bF4k9KI54PVL9cj1pg2o9dwJ5PQVegT2ThII9KjB+PR/7dj2d2YM9qQmHPXkugD3qcXo90VR6PfyYXz0EmkM9R0lIPQYoVz2oYUg9MkM8PT4kPj1AaDs9dEQtPaQ2Nj07hzE9OAk2Pe2sOT0TTkQ9Sx1RPZxbRj1Inz49STJLPZ5kST3S7Uo9SHdLPYKDXT2bCFg9yCpRPcn1Rj3MF0Q9LrE4PVSLLz1WXDU9lIpCPfN/Mj0cty49KyYxPUJgKj3x1ys9cJsmPbupIj1wLCk9Igg0PV3BST1Q9Uk9gs01PTmLRT1hi0c9q+BJPaOBRD1Z00Q9ZClPPd2eUD2Iqzo96F0oPTVvFj1dVvs8b6cFPQM+Gj1Pgzg9HxY7PTNuTD24Tx4+8e9pPmWlNj7KiRw+NIQQPtYHGz5/qyQ+9JgnPrFzJD5wHyg+F68iPryRJD4YiiQ+ceMkPi0YEz58LQw+mP0aPoQPJT4Gbig+RJMnPuvLHz7eTRk+9PsgPprfGz4nghE+d/WdPUphmTxBN488KXgNPTDjGz09VPA9NdYwPhz3Ej5Pmg8+90YSPhRTEj7Jch0+5UMYPjAYHD5qyRM+Ho4QPucNED6xix8+Dy4zPnyxPT5gtVk+/qomPj3eKz6a30Q+Z09HPoabMj7+sys+N1czPiGcJz7MITc+bahIPi98OD6wDSk+2ecbPjBkNT7Vf0E+er9HPiIySj7JzUo+ZtErPgDYIz5XKT8+BW1UPt3IGz6PQik+22Q8PuGJLD40/ig+PpNHPhLuND7yZEs+n5xcPqprRT6NMjI+yEE1PjlFPD7/vDk+E8Y3PuETND5knzo+ezg+Pk/CLT55dEM++ZxAPs18JT64Gik+7xcvPlNVHD7N7hE+4nEwPs/cLz7OsD4+cLU4PmFcQj7q+kg+YGpePngtUT4y0T4+0lwsPjp+ND4JWSM+/OsfPsQxKT5rJjE+XhNFPqJqTz7XbGE+b+87PiXcKD6BBh8+4VJDPnXLTD5wyiw+USomPlrwKT7SJys+zBsvPrqcJj6NxTA+ALw3PnQfKD6DWDU+3jVhPrM3Zj4ctDU+eYNqPltqZT50MyY+8Y4zPuFzTz5UsDY+ZZgvPieGLT4iDDM+4y83PiPiOT4hrjg+fod4PsecZj78B0E+wDkvPh/2OD6CDCQ+jrkHPrIUJT5ryHI+A6dCPr7oMD5PQ1A+jl1ePh6XNz7dWhA+2xUyPi2ELz52DyQ+Y58jPtZbMD60Ois+7ZQ7PphfFD5ZjRw+Z2k3PpxCMj4I/zM+ZvFDPhRZRz5EST8+onw4Pu8pRD6nbEI+mxg8PnuwNT7zQjg+EiZPPk2vQD56UTc+vpszPvyFOz5qAzE+O95iPqfLXD6WEUQ+RSM0Pjf5Cj48neU9A0TgPWKQAT7LpwA+njH9PYACFT4gnDA+EW48PgPePD7amjk+vAQvPtplNT4PWiw+jlErPo3MSz5uVkE+xEI6PkivTD5idD8+eGVBPne+PT4vsyU+2MgvPirbLj4hQUU+tZE6Po9FNT4Ogyg+G5whPmByIz6ljSY+ft8jPoE3ID4Z+iU++cNIPgqfPD7ESh8+eXQzPhiYOz6kzDE+qiMyPogLOz4VzHk+//t4PrwCRz7UD1A++Gg+PuGvOz6mWzQ+jI7PPXJzwT2mwrg9s7q9Pdu0qD0khaE92F2bPWfxlz2OXJw9i26mPdUMrD1OZK09rpO1PfeNrT0hOKw919euPVbfoz3EPJk9ju6KPbBDgj1NbYE9ENp6PQwQfz1n/XY96CR3PUBwZT2xum89E5B8PadOgD31qHQ9lgxwPXTnfD3BL4g9rIyOPQQsij2GBZM9SeCWPdd2jT2ovH49PCWNPZvCgz0cE2c9hINdPUseeD3mlmU9n49ePd+Tdz0V04Y9nK+KPZxkeT1XiF09XId0PTVKbD2MmV898YJLPTNGSD35Tjo9mnpfPRC7Vz2Emj09u9tWPQUvYD3ZjE49Z/ZePeIeZD3FYFs9WsJYPZ/qbD251Wk9NHJYPcEJTj0/4FI9Xxt2PfJ7eD3mdX09DgdzPRc+aj2iA109MVd+PabLgT3urWs9OM1dPdG9Yz1qsW49ARdvPcyIgj30GoM9WiWDPeR/eD1NMW89Vot0PR6Kgj0zFoU9VqGHPS9wdT3pnWI9xoxoPbAXeT1ZbH89Pep3PaGWdT13anY93YZtPYl5ez1+fo49k/SLPWXYgT3A4Xw9jo9tPWBudT2M4YE9e5OCPa7cdD0CNXU9pQZlPRMYVz0UV1Y9tIhvPYBZej2MVIY9Of17PYxIfj2aEn49VMuCPYN0hj2pIG89kDtwPab5fj04pGc9tqRLPScLbz0mVGI9GQZTPcuzUD3sVU8931RfPTL+Zj0g42E9HIpePV9jaz2gX4U9znZ8PT/1dT04zXs9XVuAPW4jeD3rlWo9kjppPRSXbT1Xymo9Ie5xPSG9eD3T0nU9Sj1wPRrvfT156Xo9EJJ3PSR/cD02mHM91xR/PS0daT2fSGU9gvRlPQzafj2Wo449o0CQPRzwhD2MP4Q9mReFPetzhD3x73c9Hi15PdoTgz20p5E9aeOMPSDThT2t6oU9cY6CPRXcgT0hu4Q9YmGMPUV4jz3aGpY9D8GOPWTqiD2E8oY9BLKFPQiohj1XSJY9STaUPV41nD2e5ZI9kTyOPWKRkD1wEJM9YFCXPRbulj1VzZM9bV6IPTz7lj3s3489tVSLPSr5lj262pw9DKqQPYTOlD0a9Jc9It6NPaYwjD3Oq4Y9VpSGPYiEkz3j4Zc9o+eJPVCYmT3u06E9QAGjPSNmqD0ChqI9KzCiPXA9nD2d1aA9siuhPYTtrD1WCLE9sfSePSCEoT3btKY9bsKdPRQzmT11zqA9SQWgPWslqT2NoLE9+3eoPaxNqj3EUqc9FlOwPUfXrT3RQq49l+SyPZXTsj1vDLE9KH6+PZl+vj3r/rA94W+1PZLJuD0uLr09qu/MPYTNwj1CWcY9jC26PWXwtj2N6rk98C/APU1Hvz2h08U9ggnLPR0twT3RNs49mgXFPXWiuD3LP7s9anG1PROHrD25pa89R+SxPY2lsD0oZbs9TJ6/PdNDvD01VcM9133KPRwgwD0Qqsg9HCK8PRFwzD1E9749TJa+PSkYsD20pJM96tyZPQGMoz2/PqU9EHyZPcAdnj3/D6U9SduzPZEStz1oB6g9WyuyPQwKvz18C8U9eNDGPWLayz2VF7E96+ihPblppj3o6qQ9K36rPZU7pD0RIq09APqnPSQ/oT2OEaA9nhanPaLjrD2mLbc9/WS/PapxwT0qKss9ws3APWEUsT00saU9oaCcPXrbnj1GJ5w93v6uPZObuD2FP7o9mByyPTFBrz1tYZc9pvKNPTwUhD23eYQ9OWGLPRXcgz0KVn89UU6CPYPlaz0/gWY9IKuLPVO/kT2Mlpk9PtyYPXf3mT2wzoo9QBmFPSTZgj1DLoA9WomDPRwkoD1c6a09nwajPc5vnz2Lo5U97fWWPVWCnT0fB6Q9WLGdPQoMtT2SmrQ9kSGrPdeDmD114o49V6KIPSKQhT1Pk4g91eCKPYGbjz1Jj4s9DQehPYGemz0rm4w9DuaMPdNzfj3sMWQ95rl2PbNZhj1lK4U9wUCEPevUkD3HGoU9tsaAPS6dcD3u20w9Uk1IPdTxdD2yo4A9heN3PdUMgD2sj4I94DqBPfeNiD0Kq4Y9zIWDPVlpZj2Lo2w9NehePbSORz1/6UA9aCVOPS+0TT3s1ks9zlc9PSUmOj1XTi09/Pg0PW56Rj1lC1A9zk9YPRNXVT0tIU49RJZMPaXLQj1hOUg94PRGPckhPz0+gzg91yZEPQf7Pj0f3EA9n7g5PcBaOD3IkzM9VpMuPR6GLT1obyw9vqczPcxmKD0iKiM9BesfPT/KLD2RRDE9jCQ6Pa5ARj3M8T49nNZAPXUvST2+YE89ig92PWmkkz0/4ms9OVVXPTTJVj1HrW89vF2EPVdBST0rAg09/BIKPcFQJj0s3DU9XoJMPQZTUj21mVA9U46YPe9U/j3AkEk+uhlJPkU6Kz7OPhw+0pQfPrWWGD5wsRk+Q/8dPioPGz4kHCE+nnwoPlXvHD4u+R0+vJMhPqkvGD6NnBE+l2sOPvs/Fz7kbxs+M3AbPonvGD48YxE+CsEfPoAaID5sjhU+4FMTPtZNAz7gv/g9wj0tPriOFz43Dh8+W0YXPvKBDT5ofxg+1AQPPmHLED4PWiw+sM0rPmBUNj6lKy4+lOUiPo1IJj43zSg+opgtPmOBLT4p9yc+ncw4PgY6Pj4ZOjM+uvY5PtFRQT6k2jQ+PcUuPpkZJT5c0Sw+d9FBPlQSQz6Mxj0+bnQwPplhSD4+10s+6cI9Pns3RT7GlT0+y6s8PnddKj4Fqy4+Gs1DPiN2MD67eSw+uYAqPl1jJj51hjw+UA9JPpErTD4T0zo+IlVBPuFcIT7F1h0+HmcwPplLTT7bhkc+s7E7PqDnFT6xxic+NjlQPqrgPT4royY+lmA8PnEPTT4q4nk+JdlCPkVvID7W4Cc+KjdiPgxWPD5a5jc+hPFFPm0mRD5w0CA+3TdHPhZxSD4Nbz4++JEyPmhINT7B0zQ+4RkuPrpaNz51gSM+tmZDPtCVaz5VaW8+xNhJPlDfLz4Hkxg+7Q9OPrGHVz5cJTI+DfEkPk+OPD53EzY+Zro1PqkaMz47Kyk+asIePoXqHD7kgCU+pkUoPufBPD6XwTY+As42PiaTYT52bDQ+mLwdPmWfLT5bWiY+uyslPnOGKz5CYTc+niRJPqHWOD5VSTQ+cK5EPi+gNT7GdDw+bmpIPrqFUT50CUM+vlEpPhfkPj7khVk+TYxWPlWWOz4rPjE+YRFGPpEmOj6NzBA+CFYePvt/RD5+MkA+4EAnPvk0RD4EfE0+58dEPldmEz7DqTA+xWE3Psw1RT5htUM+NYY3PkFUPT6poEg+3KFEPu//Xj7QZEY+h7E8Ppu/OD7Bbjo+6O89PkRzPj6AS0M+3TlCPk8fSz5CJEQ+Ml5HPjoePD6jBBU+RDEoPsuaLz5okh8+o3APPvrqDT4P1gs+NT4SPvgcMz6HQU0+YoEqPjcZKT7eOzo+fnQaPkrGGz46bRc+deQmPmsgLz7GXzY+hCoyPlG1Tz4PJDQ++XM0PvwSTz7ReTM+5lkoPtluSj42fUk+B44lPkGDLD7CFC0+qnE0Ps19ND7VOSI+8aApPvIzLD7rYyM+bhglPgPBMj5gVTM+NZs3PtwRKz6jqzY+qtEzPugoMD6U8UI+RjI/PlZdYT5hU10+kxJbPo80Wj5J/UU+nnS+PZ0fwj2oKco9zyTDPcdWwz07ar09BkWoPdW7lj3ncp89PsSgPRbenj1gvpo9h0iWPUpFij3VpIs9q7CUPYqRnD0PKnw9sQBfPRbyWT3pKFg9HCtfPRWoYj2BaGI94miEPVYweD1cImA9FOJZPQBefz3F3Yc9t3CQPdTyij0O0II9yOeQPTr4mD1g3o49fGiGPSeHgj2beH09ayR2PY4nbD2H8Xk9GTuCPWiDhj3a4YI9hKGAPQW+fT3IUYw9oNR8PfUXcz19anc9wRx4PRS+bj1EEnM9NcBsPXrUaj0VsWg94/JKPX6GVD2sW1Y9DHhcPcfxbj27kWc9Zs5TPeFeYD15EnQ9vjh+PYQ+cj1qilE9SEZSPSBOYT2LdXQ9hndyPRkbYT0TMn09qtJzPb0RXz33Q2I9sFdyPVQkbz2YSm49FdJ2PQEiej0NqVs9/19zPY7rdj2S5Ws98VV2PW/1cT0+M2M9EvtrPXMseT3NnYM93mRiPWlhXj2Mn3w9L3WNPdrdkj093Y89zaaAPZ6ahz3CpoA9cEiAPVzLij3nM4s956eCPfz9jz0/eI49QHB/PZvFjz0enZ09MzaXPeGXcj1Ht2g90TFYPSKMWD3cN2090Lt3PRRifT2eE4Y9cySQPfGjjz1ByYU996uIPVd6gz0CSWw9GshmPS7lZz3Zp1A9vmVKPcb+VD17uV89YtlXPWCVVj03ZXw9LY6BPefIYT1D+FU9N9RyPTv4gT0gZXU9haJzPYIgiD1R2Is9NUSDPWeucD05Tn09fER/PVsmYj2Com496mhnPUNucj1H43w9HixsPQV8eD3HL4A9O0yCPUjmfz1bfm890DR2PZe5dz2auHs9sw+BPVydlD3q+5E9XeKEPVefhD2wZos9XvqMPczciD08Mo0921yVPSLKij1aw449qrePPTV8eT0Rb4U95reCPcwEgz0F93Q9yYN8PVSLiT2AN5g97oOWPQssjD2gBo49nh+IPTtYeT2t3Yw96QSRPXaujT1gIJM9EfiKPXIqjT0J5oY96r2KPb5tlD12+oo95tOQPV+ulD367IM9PCyOPaVzjj09jJI9Q/CWPbQVkj04K5U9umiKPbJ+iD0eOo89odyNPToanz07fZw9HdOVPdmEmz028J49+16cPdBzlz1bKKM9vaWnPWFzpj0Bhqk9WvqlPSxznT1xEJg9bleSPfOAmT0wUZk9aiysPeYvqj19HLk9uyC6PYtdpD3pras9DJerPZNTvD34jsE9aufCPTuxwT04JbY9TIizPYkUrj32X609F6a5PWwauj27t7U9ome3PYCmvj2qX7Y9MQKpPW6zqT290rA9YTmyPdEBuj04CsQ9Y5nFPfYLwD1subU9Pvi1PTw2sT0aKcI9JibPPdr3wz1g1LQ9kAitPYcfrz3KTbk9mJjGPdXyzD3fNr492Bm9PZUMuD2+X8U9Lza0PQffsD0mdMA9dSTFPV66tz2SOaE9pW6mPZEDoz3EUpw9zDKoPQ43pD0O0J891qWgPbqurz26nr09skC9Pb9srT0r1qc9xPC0PY5QvT1xEMQ9eA69PcmDyT3e6dI9cNnEPdm8qD3RL6I9rUimPdNzqj1KAbw9EvrCPftOtj1L97Q9YO+2PS51sT3H2689k3K+PYN9uj0wy649lFmfPW7Lkz1k65I9my2PPT1QlD2MJ5s9+ruqPdCtqT2qHKM9KzWePfqpmD1yeqE9M5+cPf8Ijz05iIY99D6SPakcjD1pznk9fsGEPT2TgD2HZXE9Hv+EPbuSlD0iRIw9Q9N5PbrKfD0o5Yc9TQ+UPTeynT1M7qI9cu2jPaqfrj3++6g9ZiCiPXFVnT3wB6c91GmvPa50rz1yVaM9/XebPcNnmj2m75M9mz+PPQAYgT21qHM9v6t8PSnjhz0N14c9M3qIPezAlT0JZZE9IvqSPcnTmj2LNZg9kSaUPSjfjT3uf4o9kEyFPaJYiz1Tz489SZuNPTE7jT3sT109MMljPXj0VT1H1k890zRkPe0Mbz3kSHs979aBPfTjhD1R4n09MuB6PcUUgz1UMYI95ZKCPbQteT1ai2I9NUROPVBBRD0k5Uc9mRBUPRpkVT0rFE09cUQ3PTJ1LD13ACQ9dmw3Pc/iQT1heTo98ig4PdbBPz1+8yw93YYjPZ6KIj2gKTM95lI/PVmwPT1D+0A94vlNPdKeQz2kmTQ9tTgvPejrKT1phiM9yy8nPT4GKz2ohyc9Ur4kPRzvJj03big9LBgqPTVwPj2CeUk9DGlUPYobUj0vzEw94kNXPYEvXT3f4009oeZ5PSvVrT0AX4Q9a0eCPSuj6T1TFz8+i7kmPoCEhT1/QRc9BgIePQg2GD0/FBY9gUiBPcqo8D3YNO09cEwUPnQ4Jz4mWDY+NiMoPoTQFj5U0Rs+njAbPsWNFj4thQs+s9ftPUiiAz6s0xw+DZkoPpbLJT5ROB0+qZQcPsVWJD7D8xo+pYclPrrUMj5sESw+EV8lPuU2GT7bgxY+xEIjPrkSJz7wpys+FcdGPvjiMT4F7Co+o2ZAPvE8GD7ejiI+Q2gTPmmfED4D2hs+ZZQoPuYWNT4j80Y+wAVDPsWALz5n9Tw+aKVAPpL1NT4OSiU+RlklPtkKMj5zhC8+zt47PoFILj5VjiI+zpxAPsVKhD5i+VM+2x0tPqEyKz4W/jE+gxpGPqeVWj6IB08+YrA+PpdGRz4raDQ+dkolPh3mTj66P04+pU82PobILz5mqDY+XP43PnXmPT6Uyj8+xvkuPmMAET5S0CU+rOwiPksUMT5c/CE+sUknPm9/HD744zk+INw+PtGgSD68zE0+F8hTPqGOLj4H4CM+N9FCPgJ3Kj61Kyk+Ws4bPu9XSD5rMWo+57A/Pn1MNj6FLiI+BuxBPpHvTT6Yzz0+rzg6PpxnOD6QWTg+HbcxPlx9PD6e5yU+0xgXPq2lXz4VfU8+ch9sPosPdT4gQk8+nFZHPnHqIT4pJmo+wWx9PrZ5gD5/zTc+rG84PnlAUD5zwC0+5HIwPiIsMT6wiyk+rBEyPqeJPz7VJz8+OZUfPmcNJD6W7TQ+K1A1Pi8PNj6feTY+y4kZPv9VNz7xcVs+/CA9PjyjIj7Doxg+s8wpPv0wNj73qTs+L+9FPtY5ND4rtzo+ThA9PklUPz5H4zs+OIcwPmoSJD4xai0+svcxPmKxOD4SGzM+2SI9PtfUOj4XJC8+taJZPpuVSj4CBSs+1G8mPmvfOT6A9j4+IiY5PkjqQD6UqlU+W+VDPtsEKD4fuC4+8mRePo+sSD6rAC4+TL0yPrA0HT5Bdjk+VQVQPjsNWz5g/1Q+glxAPlaAST4cgTY+vbQ4PssEOz5WKj8+cqc8Pu5mRT6fpUA+nwxGPiYcQj7LGis+qeRwPpX5XD7jQhU+pwAZPrQsEj63IAc+y9H6PbA4ED4oezE+F+8YPiMvHj4FCTM+D+M3PtFCEz51Guo9fbsQPuoSEz55rQ8+Z7VPPgXNRD47GyE+VjshPvgkSz4S0Eg+23AgPiNyGz4nYxw+0oYiPochKj5Ouik+CdgtPrHIIj6/xB0+A+IvPpaRKz53piQ+bwMlPiMHLD5weDU+uOtGPqCHOD418iU+ZCcuPmm4NT4iqjM+pJohPtaMOz4jqUs+jdFLPnvJTz5LmE8+ysroPTWrzD3XOMM9pPDRPcPo4D2L18w9hpioPdI4sj0bg649bgCoPQdynz1J7IM97mxlPc4Lcj0+lYE9W4F2PSkFaz0O8Xc9N2B0PRCAcD26HGY97rtaPab2ZD3lPXk90sN0PX6tWD1W0k49CwNePYn8aT30qm09CJ1tPTsZhD08LZ09X3CNPaUQhD19/Yc9up6DPbzAjj1aEo89SjV8PQwneT3hN4U9CwWDPV06eD0FD4k9SL+cPRjlkT2X9pU9P1aKPZIJgD0rwoM9hKaFPU9uZj2dKmM9uVd6PRqffz3HInU9w4liPR3Baj0iRV89rWZdPSD+YD1Vul49YSlaPVLWWj1v6YE9PlSJPbpeaz1ocmA99ARePQ2FYj17NGQ9hThvPUyZeD3/uIQ9Aoh5PdIKfD1soH09uXRqPaQ2cT0Eboc9jKWCPXVQaj1Mv249/197Peoucj3u9oo9X6OOPRlZiT3It4o9GaWCPVpfdz0r8Wk9Cj5kPahEbD22c4U9vmeUPUn1nj2PPZc9RGCNPb40kT0rd5A9HvOJPZVYkD0NB5w9V/6TPWW8kz0YLIw9NiGKPV8TkT0sPI49nsttPZhDWj1AdlU9eiBWPeMxbT3Dpng9yxOGPQIRkD3zPJk9clmRPeEieT2iH4A9rR6DPXwIfz2Uu2M933BbPa80Uz0pF009lRZQPeRHVD3xE1E99qtrPUInXz2sQGQ9+OhbPTlfXT3Pf3g9Wa6KPXBXfT0zk4A9w49uPe2TcT27nWE9lRduPVs6fz221HQ9aclpPdgXbD3D2IM9Ab+HPai1iD2PgH49U59sPbjPcD2RIXM9S2uAPXqPhD0G5Hg9adh4Pc20fj2i5XM9ZbR0PXo/dz3dHGg93xFzPZ6Qdj21Y3c9GKN9PencgT3NnYg9DfSIPZpChT3ij4g9KiSLPVgcej2Nh3s9h9iCPS4fhD2KeoM9MNx/PTeShj0hYKE9qPmcPZVnjz1buIs9cEaMPdAujT3zVYg9xHOMPZj7hj2PioA9egWCPU1cjD2E44s9TaSLPblMkD2vvoE9TVOGPWG/gD2aV4k9La2IPabBlz3NJpo9FlKSPZp/jj2TIZI9sdChPZgylz1QR5c9m0qRPT/MlT1HhJY9zF6jPYuMmz3VupQ9feGVPVBfkj0hHpU9iIeLPW3YkT11BpA924iQPb+OmD3hOaE9r/qePUV6rT07WqU94cWpPf/VuD1usbc9eWC0PQ6qqT2XLKw9n5ypPboDtD0sQMA9KqfCPVOAsT0miLA9PI+nPf7QtT2C97s9Vd20PfopyD2iWdA9KIe8PYX7sT1/l709opW7PTMhrj0OHKg9JBajPfk/pz0Gyb09z3HDPaZqtT3zI7U99wO0PejUsD0qxqs9jJLBPS13vT0sWbg99zS5PTBquj3FTa091r+tPZpAwD3fSsk9JczQPcQ0vz2ZAbk9HTeuPSqFsT1KpqY98YWpPVCHmz3Lbpg9wD6mPbo9rj3jIqc9ar2kPQIenz243ag9vRSjPc1JpT2Rdsc96SDLPXOTuT2iP8A9B021Pasauz1waq89RA6vPZTGzz1vx8U9lc+3PRRbpz3pw6Q9HTmkPRyAsj0fu8M9r2upPT6Aqz2UmLU9YC6ePTmVkj3BU5M9n4ebPXNdmj1jc5k9mESbPWYCmT0GIZ49wbmdPYFqqD2UHaA9YHapPSNttT3UYLA92nyXPY+tij10UJE9ATeRPbTakT0pXoE9sZ6BPdE5fz18pno9U5yMPd4EmD2ZSYg9XTKQPT7eiz2xupg9BTeTPW03jj3Dk5Q9p8+XPaczrj292a09aDikPX/gnj246ak9NeywPZmDvD3F8Ko92sWXPRuqlj1xr5E9SL2WPZmqjz04KXs9ofxwPcaRaT1+SoQ9f9+HPdOukj2uMIo9LNSHPeGClD1uo5k9NkWQPZIKkj1fmJo9DOiVPaOIkz2L9JA91MuOPT1Oij2D6Yo9UbGMPW/YgT02cmo9ecdZPZgFRj2zMVQ9QgJuPXbGhj3CpZE9G+CDPQxehT3GlYQ9vkqEPR+ViD25fHo9C1dlPeqPcD0j/Fs9dWVVPTeFWz0d6WQ9fhZXPQpQTD25Ckc9lQRDPchUMD0Ech892NYyPf0UQD14e0E9eDZHPcuOQD0PWjQ930ErPbR6PD13z0E9b9ozPatGQz3eYko9GeZXPfK0OD3yzCI9vBEkPS5AGz3CPSc95OAnPVXwJD0CLi89lDhAPXi2Pj2SZS49lyM9PZL+SD3q6Us9y91CPXe+Rz3DqVI9JtFNPVJ/Uz1BLlQ9Of5TPZr1cT3gHAw+jLBXPhClQD4qwiQ+7335PVuUdT3Fros9Z4u3PSCihD1hDI09md3QPRUVMz451EM+fSI6PneSID4zTRc+yWQVPmRjDD54SR8+9+0oPtBDIz5WgR8+HNoVPrYpJz5wzyQ+4gwlPkoGHD7IDiI+8hInPv8cIT4UHiI+B+orPmthLT41Bi4+5vodPhueGz4C4BQ+N7QfPsW/LT5koBw+7cAePl3eJD6/Wys+u15IPvJfJD4LcCw+JLEiPptsEz7ZDy8+5FZIPnEIPj7TrSg+w3RjPul6fj7L56E+l6ODPpJCPT7GKi4+yy82PoJoNj5LszA+Va41PmPLVz49dl8+0ApaPqzrfj6PhGY+WRIsPn2XQj5tlT0+8dErPsg9Mj6BSzg+4ns9PsBdQD76cS8+zasVPpRXKz60vE0+gJs7PpZ6KD5B8zA+X24sPgaPPz4hGDw+1CsuPkA/JD57/R4+iv8iPkmSMj6z1iY+7gxGPkpfQz68n1I+KSBfPmjnMz435Tc+mmZEPncFLz4SGRs+p9ggPtsoDT5CDC4+R8xDPlB2Oj6oXTk+AkxJPqyHPT6gWx0+ljEzPoRiST6ZWDI+WSo2Pu3/OD7H+Cw+I8EuPnJiMD5uyzE+YehDPq5XUj5ERDk+nUlFPtCBUT6RaEo+TX4pPp2vFj6FSkk+YjRpPrIGZz5W8mc+3c1kPrLKUT5FiCk+dZgtPr9JLT5cqyw+kYk2Pm1gRT40JDY+lOkoPrWdKD4fvDM+j+43PgyKNz4dVi8+htAuPs1hLD6sQUw+cktUPvNePz6btDI+adYmPgQhKj6bbCk+IpkuPtdtPT6Br1Y+OM0zPvgEQz44iT8+QLMjPigrFD7QyjQ+IxhJPik7Lj5joi0+5404PgcVRD5AOzk+Ssg7PhzFNT7n1CI+6YEoPk7pKD7aHSY+XhgrPnTKPz6v8T8+Mqw1Pl2aNT4uhzw+W25SPlGdNz6mbEM+J8FwPmrLPj7tS0M+a8hJPoHOST7MSU4+hhA8Pv3YQD6qyzM+b8UsPvPxQD4SNT0+AiA2Pnm7QT7vE0g+s61OPgTLRT7VHjk+5nEmPqGYHT4T4SU+ALU2PttbIT52g/o9ZckAPrYzAj4s3AU+Ppf8Pbz9DT6Cnw8+aMwhPvlKFz6xtwY+0H4VPqVjJD5atzg+EYBNPswrOz7eUjY+DWA0Phg5LD4nmCI+xO0nPtTYKT4Mrzo+NO0jPjamMT45BSw+r4QxPk5sGT45LgM+F/tEPn6RZj7MkCQ+BGQwPg1dRT4W9kU+QK1cPh33Vz7zoyk+3W02PgMRTT75p0E+x6YyPnRHSj5sLFY+1r5EPlXbOj4tzj4+ZzWnPZUHuz16KMQ9A6nXPSOh9j1ZNvI9UjjBPZhtpz1Olq094i6lPeIXiT3n2HY9oKJXPaicYT2FIXM9f4WAPQGYgz2md3Y9QONuPSPTcT3rZWg9nk1kPV+ieT0xYYk9qSh2PQqhaz1OzHw9enR9PWHYgT1zMX09Q494PTGxbj0SnXg9xrN4Pc2nej3DyIA913WKPW+Lgz06LoA9sDiHPdOdgj3P8YE9zh+MPQNnmD2/Opo9thKMPWJeiz2TtIQ9uPp8PVlxdj26JWo9tylwPeBUbD1P4ng9eat6Pa8jhD0F0IY9dSF5PWHgYj1lM2s9/BpaPQxGXz0/H4Q9ubyQPXmchj2WFGs9imxuPbkofz1Iu4k9Q36GPQC4fT02BoQ9hCOPPRxKlD1FIoE9OQB2PZmDdT1PtH89WsKSPbM3iD0Ce3s9ykqDPc2jhj0Pi4g9W4yPPXlZlT12AZE9Pw+DPYTTgj2HYng9q992PRt0fD1DqIE96iaGPQCEgz1VUYI9AR16PSOOej0AuIw9uwKKPYLliT09sZI9ji6PPejeiz04+o49sN2CPa5fhz06N5Q9PwKHPSRAXj28Lmg9rXh0PZPbVz0Lm0s9e3NZPStJcD1KjXc99qSGPd1miT2JgYA9x+91Pe4tXD1aU2I90YJ4PdHQfD1Y2HA98VF4PUHchj1iNIg9jKh8PX3EYT1sU209DFljPcKfdz07ZX8947Z/PRcKaj0n5H09FI93PfaqdD3+s3o9cF2HPfTTez0daW49i719PQkwbj3WTWY9qoplPTxXdz3AmIQ9OFR1PUavdT3P6HQ9EZB+PfMyiT0vbX09gUqNPZKvkT2Tk4A9+yxxPanFXj2vz2o9dZVqPW5yUT0/+2o9L9N7PbISej2yJH492juEPQw2iD05koQ9xiCDPWI7lD3W4pI9l+eLPWmEgj23TYg9OMSJPVcbhD01ZYw97r2SPe9/kz1Y+ZE9momYPW6jlT2C3pY9UhOVPd1Igj1pIng9aHyDPXr2kD1Y4Zk9f9mcPbQ6mz1Arpc9da2MPQkTlj3Am5I9ZFCOPYaviD1RxYY9q/GHPelBij10l409wkWPPcTanT0ia6I9kgSXPWnxkj2cgZA9bjOPPRZTiT0Csoc9RiiHPXtVlz3LAZA96WqTPeK9kD2K+5I9Bp2YPbfsjT3IG5I9sRCSPTs1mz0QwZ09nGqWPdGmnT20hKQ9/vmyPSqepD2JtrE9rIO7PaUJrT279ak9jqGpPZyOqz0Cpqk91KWzPV0kuT2b0LE9zhirPbe3rD0NWKQ9DReiPVm0uT3e9b89RR24PVC3qj2OLLM9RjGkPQMoqT2BRa89K6yzPTYAsT0tC7s9MsW+PWmdvz0Krrw9JOCtPeDYrT3S2609dmekPekjuj0kGLY9b/21PeSvtD1HfLU9bxu3PUP/vD11LsU9NYm0PQ1IsT0Og709yaO6PcdNqz0An6o9eAiePd7soz3hJao9wtCvPWivtz0BUag9biCfPQT8nj2H8qY9LgvAPeiuyj1mH8M97zrHPTTZuD0B9sI9NP3MPVvDvj1XTLg98SS5PXokwD1+srQ9TISnPfU1rj0MGLU9OSeqPduIsD0jfq094iCmPSiqrz1S6Kc9aHSfPaONnz0R6549BGOcPT3WnD0Lppg9+K+tPWv4sD0vPKc9jv+jPZXnpD1+ZLc9Gc+7PWHEvz08W6A9J6mRPTVJgD2iAYU90CyAPS/7gz0yZYg9biSLPR6qjz0FW4k9hLmRPY4BlT3QKZ49GgmWPQSPnT07Q5o9aE6TPRVZnD0VC5I94yKZPT9RpT3gC6U9d7ykPeb2pT1IbLQ9Z82gPaeunT3BjZY9qF2BPQJ0hz0RG4Q9qWBtPYtpdT32s4k9wa6QPVQBjz0UiI09Sb6LPb8wjT0z/JU9kuynPXRYoT3V4Ys9RWSOPSWAhz0Qooc9FGmFPWqrlz3BCY49r66EPY/giD2JgIc9wehwPWbcYj0i3Fk9+eFYPZqvWT002GA9h66APfxkjz1RFI89n5SVPdcBij3MmH49AzSAPfL+bz2XcH09mWaCPVG8Yj1w1ls9cuh4PXNfcz1fv0k9i2o3PWBENz0LjkU9aU5IPY+SSD0QDEk9wRhePZe+Wj0bQU49dj81PUNRNz21gUQ9SlhKPSFnTD0xmDo9fA05PcmFPj0kVDA9gzMoPVN7Iz3UrzM9EMNDPfjZSz0QTlM9gwo4PX6TST1VGFA9fR8/PZv8PD2Cezg9AOE8PVLuQj3UuUI95/dEPSlPPj2rHTk95RQzPUcFNT0npj091EZGPd2LPT1fRao9ikgIPuRiqz1o1VI9NpVWPSMsgD2ww9093jXuPfj58z2TUPc922QXPqySMz55QDQ+kxglPtfTID4BghI+hZAZPlU7Cz5gfRA+v3wZPgYuHT4zYyM+3JMjPq0GGT7CLw0+KRsQPnk5Hz4rhB8+cgEcPkr6Gj6/GS0+h0MkPgCBHz5CsyM+ZLkcPsaVGz6wWRk+RJcfPowREj5nLRA+cu8jPkwLOT5LgzQ+qM9GPlFWRj5dNB4+IacPPrE/Gz6WjSQ+IB0zPi2FKT7KQxg+dzZlPnCOkz6j26Q+0qJtPiJHZj7XEWI+pB4/PmtuNz707kI+oGFdPuhqXD5VNVw+vydUPu4VWT4aeG4+m1tPPjPiQT7sOD4+C6wgPnJRMj6O3Uo+XaxLPk94Rj4VQzk+AWM5Pk8YQT6cPSc+wiY4PoHQLT5UODA+xgktPlpvLj672DE+CqE3PrY7RT4KTyg+kqoiPmJ3Nj5Kt0I+FFE6PslYST4nL3I+8y1SPqDMOj5eJUk+bXlTPn6ETz7kZUw+B8lBPrj7Oj7JtDk+emslPhvEDz6qxRg+k4YwPibLKT7XfhE+2HcrPhouWD7VRFI+Iz40Pj9aQT6cNmA+Zp5TPt1APz4HljM+cSYwPrR5Iz45yjg+EQJKPg3TMT7MOjk+KZgvPjkiSj7/Kzo+6Nc3Pp7ZPD55QjA+crgxPvBzPz5bSy8+Q0kcPvBUND5Udzc+Ld9GPr/hPT4mmC8+xJJCPlqiRz5s4UQ+VGo0Pr+tLz4R2yI+KSolPjYaPz7kRWA+NcJJPtxwQT5fklE+c3g7Phj/Lj69wTM+ors+PrrOTz4l2FQ+xFA1PvJDQT4uMD8+kUkvPnHmKT4MRz0+ZidbPsaBLz7/bDE+ZxgyPlPUMz7bACw+9IAfPpHlVz7IjzU+CIszPl7OTj4mvUM+2y0uPpS8ND4bVj4+7XFJPokEZD6JV0I+XspGPrM1aj6gf14+LhRLPpTSKj6tCTQ+a9orPjZ5MD6hE0M+CmhCPsDtQz7Koz4+cPc2PtoSOD6iJTI+lJ8pPvWVJz5wsxk+PDwUPi1wJz50GCI+5TEFPsGAGz4aPC4+OrM5Pi5DRz4ZWCA+K5I9PiUEYz5ngCw+EKgaPiQSKj4bXhk+hm4TPtDDKj6A9UM+sykoPjsOLj4ssj0+ZelWPg95Lz44zxw+CbctPiulJj6AOwU+ZlIePnkRLz5lKDY+jJIkPjiwOD5W2zY+vPEkPsLHGz6B/CY+9bo6PiItND5Dvx0+VxAZPpbcPj6tVEo+vIc9PgNaRz5ickM+VQBGPuPFQT66R04+AddSPp5dQz7vUD0+RmxBPmulMD7IDB8+xO6pPQj+pD079749I8bkPZjJ/D3SxfQ9ugbVPf4duj1GD6Y9KPSkPSoynj1m6ZU91dWBPYoOfD1G6Yg9b3iGPdFDez20mH49P3JwPfFhfj0alYE9gu2APQb9fz2D1o09j9yLPb0ikD2/MIo9DpmSPd6hjT3B9HA9WZJbPXqUWT2Sgmk9fgd1PYRpfD3xIGk9hXhsPcJZgD0qQoM94xeEPZPOgj0ZNIo9TBScPeDUlz0HGok9ZhloPQ0rXz0pWXc9WPOOPYUAkz0B0Yc9BUV/Pd9sfz2cfGo998V/Pal1lz1GSJY9DPmmPf3OlT1384s9bLt2PfpfcT3qa3k9M/aRPcKclz28FZI94JCJPdDJfD1UAIw9NP2UPY10mT3Sj5Y9ZNKJPVFOez1n+3090waAPXiQiz1XcIg9A/aBPXm5cj1hXnY9UCB7PbrIjj2lYZI9X5yePZRngz30PHA9805iPa2OdD2xUIc9uFqSPYCdkj295XI97e1+PXhpjD2D0JA9+4iCPdyXgT0d0Xk98oaKPb5Siz1FPYU9bz97PdC5gD1ex4s9Ws2DPRIqeT3udns9p8t2PUHSbT1DTm49nN+BPVg9fD3jHXk91elxPXkegT2m0IM9O2+JPQjwfz2lZnU9+IJ6PYVdhD3uFJI9r/GEPc5ffT0IyHQ9juh+PVHYdz31CXM9roZhPbBqYz2V0nQ9TldvPQc6bz2XFHg9GhZ+PTkgiD2QBII9gPtuPTDqdz14DYQ92FOVPVlSmz1kbo090rl+Pa4dcj1sRWw9DC90PTMhcz3BcnI9wKN4Pcr+hT3dzG49AJR9PQcxjT3A+4k9qqKAPcqFbz3QKWU9vMtnPRs1dD2c8mE9H3piPQM8ZT13mnk9hQZ0Pbc1gT3o3o894nqcPVvplT23p5E9VCCXPcPSlz2NQo09suCNPXKGjT1ivok9T2qPPTBtij2+k4g9+reGPcf4gj2wkYA9peWHPdsikD11Pog97ReHPZ4Ugz1g35I9/+yMPYDijz0kf5M9XOSQPaiMgj3NAYU91XGOPe6Xjj2bgI49lfWKParEgj1W44U9jbOYPRKjnj3KYJI9Hw+SPfCOlz0Q4KE9pfSaPa/4nT3eFJw95bCePdjskj3CBJE9u1yXPRt7mT1IYpc9R3WLPeRojj00uJs9pROHPV0BlD0PDpY9o9iUPbKEoj3RcKk9o5m0PdKorD2JE6I9TjSxPQVZpz1jerA9Sge4PWA2uj2DY6o9l76qPUhlsD1U9ag9fRukPQXEqz0ey7E9mHquPW06rj3kLqo9YcyoPZwpwz3+fb89Vf2zPSfLqj0hFKM9dBWiPdLqoD1Dyp09rlazPUnjwT3hsMQ9/u3JPTB0vT3mZLI91lKqPXJ0rj0wPqI9tO+cPcx2pj2dkbk9hk+7PdHDwz1AEb894D62PVynsj3Prqo9mqqwPWBevD1D1rQ9LlS0PaXytD3T8K09oTyZPWlkpT3Rha49WLavPS1Buj0bs609RPCsPckzqz2w+7I9YxS2PbE8uj1HJ8o9sIDDPczoxD2i58c9SwG+PY0VrD1JP7U9MB+wPYChrD120q89jEO6Pac+xz065MA9oqmpPSw5tT2IMrM9YXOtPS2atD1IaK09aXK5PUdMtj2Znrs9Ww68PRS5rj2zeqs91lW7PbdqqD1AwaQ935+lPaIAnz3cEZo9TxmUPQf/kj3mpIo9+el+PeG/dT1rE389/lSKPZV4jj3BYIs9x/iHPfEijj1yEJQ9EJKPPQxojD0r+449tNObPdWjnz3jR5o99uCcPVZvoj3VDqQ9ET+WPU5IoD1NK6E93t+rPWtvrj0XrKk9rJGgPetajT2fwn09Tu98PVVWaz25e3M9jQJ5PcbogD2Vz44982+PPfH0jj14hZI97BSxPenVqT340Kw9GyCpPRXulT3QzpM9SqOQPVhCgj3riY49/+ySPd3pkT3/Koc9m5CGPXxOjj3Sh4o9boB0PSv4aT0hNmo9sCt2PYEOcz1t8oU9XP6NPcd9iD1NMZ49MLuQPXBSfz20EXY9UEllPR3TYj2rOWI9QjpqPWLzZD0yUXc9S0JuPYFcVT3GMkA9BCs/PbtxPD05nT49EwZVPQYhYz395Wg9uNJpPUIOVT0ymUU9XZdBPS3WQz3jpUE9NTlLPfJmRT2/zTQ98CU2PWmOOj1UrjM9UPIqPensJj3vETU9zp5NPfgAVD2LXFg921w7PTiNMD1sjDo9G3Y5PXHVPz3KGjo9y802PfszOT0mDj8961Q7PaldOD0n7DY9BTk3PeKrOz3o1z09PcsxPac9Jz0t7jU9GtVBPe7SQD3Z4TU9KA4yPazHWD1N/4k9riaIPTWimT1iHsQ9NPsJPtNqMj4n1yY+cukjPmT8Jj5VtBI+lK0VPlr5Kj4zOCQ+e8gdPqisGT4yoSE+3FQwPpdeFz78VwU+qK8TPsz+GD4ooRM+z98TPvyjHT7qeRw+CwkbPjqcIj5+1B8+HQAcPkN7ID7JpBg+EXUJPhj1CD6PrSM+DeQ4PjHRPz4h/z0+HB89PnT/Oj4N7ik+vCsSPq5MMz7gJTs+yrEyPiPqNz5nEUw+HcOHPmbwkj5/2VQ+tqRQPsHjRD7boy8+j5EqPsCTNz6HN0E+Yt5QPp/tPD71aUM+wvhSPja5Sz6gqmA+YkxlPolmQj5hPjM+LL4wPkhbMz60gkk+vWM+PoW6OT4B73E+OutbPucZIz5IsRo+BFwwPqeeKT6ZNTk+n9FFPr+gLz6IXx4+8XosPh4FPz7SKUY+TYdEPgVJNj5Ik1E+IqZNPhbRVT7GIoA+D55rPqlcaz5AQIA+lpV2PuImaD7QGGA+VDYzPtVVMD4/Nzo+wJgXPkXiAj6tcxI+ZVU1PrxKPz7reDU+Y/M8Pt5DUj7a3lc+i+pQPrq+Oj6IGnc+isdJPiVePj7t3Tk+DscqPhC7Lj76jlM+DW9BPtXPMT67tys+E1MsPh2SMD41BFA+DDdIPoNtOz49HDs+8j40PvWRNz6K0zA+E1YhPpzAHj7awUU+3ftLPg/VPT6YRi4+wUQqPsntMD6CrDo+PjZIPuOqOT76rzI+b8gyPuF5OT65UUo+BgopPn0TLj5OMjU+ezo/PlylNj5N3kA+TfdNPqThWT5qwjA+jZsxPuiKUj6yBz4+p+QuPjMbJz5SKio+KzlSPgqtSj7zTFk+8FRWPtm8OD6HIyQ+pdEQPqmsSj7vh0A+FipmPpcWcz5QNEg+cIp5PuuQiT55eGw+zmxcPsUKiT6wFlk+EHQ4PhQKrz7U58A+PrRPPn6oLT4rdS0+KwgpPvorOj6nGzk+FOQ7PiQAQT6kFDI+R7s2PtMyPT4hsUk+IMk7Psn3ND6YLjY+aos/Pmx2Pz721xM+IbQfPixGMz4OsEA+cl89Pp3vSD6DPTs+7mhHPomjQT5IIzw+9itFPo+UPT4c0SY+7RcEPv4sJT6k4js+4LAlPluiUz7+BkY+6MMzPutuJz7KxBk+b50oPg9oND70DBs+6VIMPquvDj4nLEE+C4pmPgpSRD7MeCA++ScZPshWLD6O5iM+WVIZPk4DID4o4hQ+0ZAcPkI8Wz4qZj0+3iA4PvP5Rz7CAlI+YGZiPk3QZD63/0s++0NTPq7GSj6FdU4+Ga1NPsvfQT6iREE+iRykPdeYuT3q4rI9Jc3HPUypAT4vdAc+EfDQPUfsuT2N6K89eTitPSPWoD3WQok9uTh4PcT2eT1hZ2s9cHNiPVoVbj2tD4k9+v2GPSVefT0XdIA96u2HPbuejz1vB5A94kCQPQ3/mz1+G449FEOEPd8Ygj1emmE9jqlePfXJYz3aEW49fYV4PYNUhz1q25E9vTN6PcKbgT2NL4s9hSuLPWm4kj0dBpc9ZvmKPVU7hD3GNok9ACp8PXPNfz2vaZI92nKYPZcDjT0k8oc93XWLPfzoiz1aaI49VWeLPVf2kz1BHY89GmqNPeW2gD00UHQ9I2p1PR0Bgz0gKYw9v8CHPfWQhD3vEYA98RaCPe4sgz1og449WKeMPeqMiD2wGYk9UKaCPbzUmj3+5pM9whVuPVF8fD1e2o49w3OHPTLohz1xPo49cZ2NPd3chD0hYoE94zmGPbIMhD2pd4A9iu9vPUj+gD2s83w93HxuPSwbaj32yX89bgSLPVJFij2tJXY9IKV0PR2Chz2hr449YNaTPWurkD1uaZo9nSmVPea6ij2IE4A9LItsPVhdWD08SW49zw19PQvXez34wXQ9RQ9zPZ9gbz0NxVs9kHxkPV5YgT08TI89DN91PfL8bD1Xq4Q9JeiIPSDdgT3CQm894ctRPRdHXz02WWk9Y91bPQj6bD0YmnE9AsxwPUd0bT05S1g9snVcPeRfdz386XI9KuKBPSvHfj2nkW892VBjPXXHfj1qcn498Z5+PTQmez1ebGk9FXBjPU/Edj2NuYI9jjyGPSjZfT0yqoQ9Y7WaPVwmkz0w2Y09wAF8PUkyij2ABYk9oh9rPbhiXz3ez3o9+yeAPak/gT2IrGo9OC5rPcVgcT37tY89awCEPaxrdD05AYc9HS+XPVjkjT2JwYk9MciHPbiojj0iaII9dfOJPUcShz1N0oE9M4eEPZI7hz024I49uMaGPZd2iT2+OIc9txmNPbPIlT1/QZE9PieFPUMUlj16rJg9gAeUPfuTkj2T9H49iCF3PfaUeD39Rno9s1l9PS/ThT3iWJc9YfWOPb47iT0+5Is9XoCNPWWIoT24PJ89iqCVPQKGkT2Gh5k9cxmRPRgZmD1R6Zs9OH+QPSI0hj1j+4A96T2FPY6zij1xkZE9iY6TPWfdiz2hC5Q9zvyaPZj0nD05wZ49i9WkPaZNqj1nnqI9LsOsPYY2pD0eJ7I9yXCqPVjGqT1x/qw9CY2vPTsTqD2o7549856nPWlfuT3TLaY9hGmnPWQTtj2LobM9uhepPT4bpj27bq89rd+0PeSKpj2WqKw9PsqtPSA4sz0B0K49BNCtPZ+jpD2nwag9mwC0PeRjxj2JkcA9ISzHPe5Vzz3Hkss9l7XDPRrtuD2ZQqw93gapPVEZrz3u6KY9sz2rPfc/wD0pDb49HGCzPVslsD0PB6Y9gEqwPSV1wD3ZR7U9556sPd+Rqj3C8549HMCcPVtEpT1YALY9D+G8PfvewT0Rmb89V3K8PYkotD0Z1689aAu6PeHFyz0s88c9j0OqPSUxsT1JNrY9gq+lPUxSkj2lyp490kuhPfWVwD27+sY96kG9PVY6uz3b47Q9mZqlPQo5nD0Y1p49lC+VPfmnnj2+HKE95dGyPShVuz2Lca89/tG3PQ6MuT07sKc9q6inPaPdqj1EFKA9MseXPdPZkD3fqY09Y0uGPeAHhj3yA4Q9lgp8Pe2Ycj2nvIM9KziNPdRKnz1EsqQ92biXPQ3Rkj2lPog9S+GFPdAUjD3ZxZk9aAuePePznD1H1Js9TzCePWrypD187Zw9ZPKOPZIfmD1Ib5c9HAyPPZAIlT1vP4c91hSDPfv9gD2E3Hc9GTRsPRikgT3nVYg93DCNPfwwlD3rfp49v+mgPUiepj1U4J09ezefPd3boz2Ul5s9Q+mZPY8ikj1VzZY9h+uMPUpqlT2DEZ09yVeSPR6bmz09J5g9ysmUPVBamD01EZA9eaOGPbRGgT04nHs9O7V+PaKGiz1mUp09fsWVPcQuhT0qGng922FlPeNldj062Hc97cNTPUgmZD3BK2I9CsRfPTT1cT09lHo98sVlPWwwXj3CMWI9kRFIPfesUT1v4WE9XOpgPV7TZT325VA9M5s6PQifNT3oNEM9xehCPW/mNT35v0I9w95IPfuVNT29Xy09LUYnPVVKMD3uGjY9NiwvPRx4Kz2h9Cw9SQY1PcdCRT1rJ0E9z+1BPe4QST0krkM9QuVTPfuiZz3Z4WE9uS9cPSXNRz3VMlA9rENfPRQbVD3IS089YAlHPd7yRj1KWEI9EfoyPcvvPD00ekQ93hJBPSYkRT1H9kI9rzQ3PcWTOz1p8GU9EQuuPYhTwz1pluY94TsFPrJ0Iz4ZnjQ+e04gPqCAJT4EqB0+odwZPjNpND4RWCg+WlYcPoR2Fz77vSk+i3YzPiCdJj4Cnys+8YgdPmu9Fj40jRY+hjkfPhcEFj4Vexo+fjcbPvStHz6UcSw+Gr8bPjpcGD7CYho+kIYVPmByIj4rchw+2uULPjezIz5KbyI+butFPtAyQz6o1Cw+AnQLPoA2Mz4XKkE+0DRLPvmcPj5JClQ+HepqPju2Nz7YFDc+tAxZPrRwUT69ly4+fGMtPhh1Xj4oHGA+NC5cPincLD4XTSc+dxssPth8KD7YZz8+aUdNPi8HOz5nLUk+wwU6PmuwIT4Ofis+M01bPrutWT4fMS0+YdIVPn7+JT7r3zE+2uEyPkTCLD7BES0+4B83PkiYHT5WxCQ+YX47PrCbKj4AdjM+mNItPrX+KD71Zj0+4fxQPjMogT52+IQ+8SxZPmI3TT4JkmI+XvNwPiACYz5U7VI+GRQqPgxRND6nuh4+qdg1PoQ0QT41tTw+up47Pk1VMD5/ITU+tNtEPqK0Sj7GRkg+cRtHPrABPD7Rhz4+NwsxPm9pND7S2EU+QGwePtY9Lz6Kplk+8w04Pn9FOD6ZujU+E7kzPu9PPD5iOE4+9+tIPth0Rz7n7io+GykuPooWOz59WzM+ifxSPoqtSD4MrUA+L/1GPu0ITT4z8zA+mtU3PrtiNz5IphI+mqk9PjaAUD7hvEs+XvU9PhbaYD5jFFo+ydhDPnfEQz4REDg+5N4qPvMxQD7YNEs+0V5CPoc2PD4y5DU+iLJDPknHPD6V2yU+SvxFPgOHaT4TSz4+QgsrPpnoQz4yGlA+EFlLPojGJT6yDRY+YKcpPlpgPD6CIzA+h4ZiPtdLmT76bGk+U8ZlPkQMXz6W54M+OKtQPhNEOj4KxSc+T1g9PiGgfT5SUo4+EsxQPsI5Sz5yRF4+86ghPvKoPz6g0Wk+c/JWPt5SPT4n4zI+Uz0tPkT7QT7RdUo+2ztEPpByMz4DCEg+kfNNPm51Fj7dBRY+HVspPtZlLz7R6jI+Z309PlASSD748Ck+hFA0Pke4Jz5uDhc+SBhHPsxhgj4Jk2I+N/IBPkOK6T2EKhY+kdM+PlieYT7f1U0+fQgiPqsxFj5XkA0+eZQcPh8XNz4dskE+zycePvX2AT7zyE4+RUuHPoOIND7jgRw+DbURPpywGj5T5yA+LRUgPldjHT5J9RE+05w9Pm2vaT4f3lg+7XZOPurmPz7LGDM+O4NGPgXPYT6aqUk+OidCPvcCUz6wME4++6pDPgMIVj6JjmM+YqzDPYTv2D0CMMo9Sp/KPZue8j0XgRA+RJXRPclMoz0M3Jk9RVOoPUTJhj2HKHE9ihF3PXMeYj2p1Wo9bWJqPdA5cT2OFpE9AaWdPQ2vhD3Fvmc9002HPXqwhj3K2pE964yuPXzWlz07yXo9tiFaPf7oZz2xZGg9BXp5PR//gT1hq2o9MlFvPZaUgj27UIQ9PJRyPf0edz3h5Yc9vMSaPYcRmj2Acpo9B5ihPU5/lT1t65M9BtqQPbzajT1EyoU9VIh8PaqtiD07jZ09hKuYPZTPiD2KW409Z0aYPVXfkz1iGIg9qf54PeWreT0GkoY9vUCTPexKjj3+04E9qd59Pbi/hT0aOYk9V3yEPR/ceD3q+XI9InyBPcdRkz3qeZU9Rq+KPRjHiT1L34I9syqBPajHgj2hSJc9w2qZPTZGgT35CoU9N2WGPWufij3phZM99FudPSIOhD1Gqnk9t8l2PZcFdT3XTX491fZyPQEZgj001I89Nst6PSxVdj3xAmk9Be1yPa1xiz2n85I9kjyaPQKnmz08GJs9EpCWPYRjeD2NH249nq5yPSbahj2HEpk9AueQPdwoaD14zlc93FNhPUC/ZD3GDXg9vq2EPdL2ej3DJYw9Z/t+PRWlgT3PeXo9koxuPR7fXz0kOks9wZxUPXyWYD3ALmE9Ny5cPYorfz3Ws3c9AfldPeoVWj1eoFc96JBkPZRmWD1iZ2I9FvJ3PYIygD3+smk96IlvPbhccj0krm49TvxwPeOteD12b209TXWAPQDGiT0f7o09/qqHPdIUZj2Vmns9ZIeJPaNHhz1gEYg9ZeRuPQbSaz3DZ2o9awlePVc0XT3xcWg92GGAPW2uej2kL2o9HMJbPcmGbD11NW09fyxvPf2xgT0d3pU92BOQPbaOjD3kGYs9zWqFPWu/hD0bHY89jxyNPerifj2ZEYE9djtrPXOdbz0lsIE90J50PWRQjj1mhpc9rfSMPTUVjT2QrYs9p1CNPWGNij0xoIw92VOLPYx3gT1U73s9nD+IPYtdkz3OK5U935iWPbvLkD2JwZM93viVPWpZoD0nYZA9YPaFPfBZlT1PU6E9A0+hPedUlz3KA5k9fQiWPXOHkj1XFok9QmqEPX7rij16TYg9iHqGPS18jz0wVZU91CCTPRQ6mz2pnpo9dT+vPSQNpz1+LaY9ylSfPchXpj1T0aU9vhKsPfmYpj3CqZo9NPOjPVPonz2zNKU9oqatPfiwqz1cUKk9fNGjPZpDrD2uXaI9WzKjPSB8qz1cvac9SUmkPX6pnz2V5JI9BJCTPWH7kz1EuaE90Wu4PT4DwT1O3rk9wACuPUhBuz3CQbg9bVqyPUSzuz2dL8E98Dm3PUcMxD37FL09I1G4PWHVrj3J4aM9fbeiPXf4pj39Lq89BoKvPSb7sj2LmKI9VrSqPc+HpT1BR6Q9ZPCpPcRyqT1ZJ7M9axydPXRNoj0wxLA9WSCmPTdXpD2A+6U92cOpPb2BrD17V7M9EcepPW55pj1H+7M9sGW9Pe/bzT0tKMU9xzzTPfbVwz1Y/Lk9mDSnPTkEsz10CLI94N2tPfwQrz0KZK099oOvPW/ZtT37haE9BOeRPRLmoz2hUqw9UOSePVQbnj1jDa89f1vIPd9Frz3OYqA9mrWrPRd+pT1LFp49TuivPZfrnj380J09IXmWPWp3iz1MgZE9+8N4PWp1cD1IeoI94ieMPTPBhT2rV4c9FZWKPWIpjz1E7449uxeKPfxFkT0WSpA9PdmTPZVPmT3eppo9T7SdPZI8oj3lbKI9dhScPaSmnT0EapM9vU2HPYbfhz2InZs99O+VPZlzgz24jHY91c1/PZ03hT1poIU9VemDPY5cgT1ZMYQ9TOONPQPbmz1YSqk9t/avPXtYpD2tVZ49C0aTPfmVkj1Xj6I9HHijPWpUpj36jaI9bnOUPSHFnT1nEZs9nXCWPU/kkz1jvYk90Q+DPeNKhz1CuIM9S7SBPe3vfz28FH49CAOQPXR7hz3WZoI9+SF3PXCmbD0j1XQ9h9mEPbe+iT1XU1k9vzRHPdcuQz0YuUg9BwhXPaBbej1ZPHY9wo1oPaXPXD22vF49MARePSb+ZT0hbV89BVtaPTsoRT17wT89qb08PeXvSz2FS1E9qi5QPRpGWj2+lXE9rLNbPcvETT3Z0jA9hawrPWAPIz2wiyE9DwAhPazNKz2hAjI9crstPZd0Rz3+eUg97wVFPVWNRT1/wEY9Y+lgPSVwaz11glo9Yi1gPWJjSj0BpE49nTF4PTiegz1i5249qalSPasHRz0zqkk9HnxWPW2fiD2len09x+RJParuRT18ylE9evVSPeYHVz1LiIA9ugx0PWSzhj3rrS4+hpEbPirHqT0xC7g98UvHPSi/AT5HTSw+nWMvPuN1MD4CJTI+5MgkPneZJD64Uiw+kdcePqBEHz5ZfCA+QZ0jPj9xHT4tVRw+kvoRPkpNBT7iWRY+Q6ggPshLJD52cCc+TdMJPr/GGD6ZJhw+iOwZPtXfEz7WOAU+3f4PPhPrKT5AJCg+DRJUPvr6TT73/DY+TTgSPmwRJD4/Gxo+BGEZPpaONz5UsEA+90lePihufz53lG4+1+WIPmj/cj7eMDQ+StQtPl4BiT51bYM+ki5YPgKeLD65cyY+W0E0PuXyIz7dezk+r+ZPPtljRD7OoDQ+9OAyPtX1Oj5yhTg+QLZMPgwJQT4eQig+QwUPPnX/MD5bnUU+CckvPpbZNj5POEA+WoAgPtrUIT5+NEw+JNJLPoz7Jz7Oah0+VyImPhZ+Hz6FaSA+zyozPlBhWj7Fo20+wN1JPgnjOj40zjY+58c6PuTpPD7IGSo+B8YrPi0BGT7sF0E+ud9aPhObMD6QzCU+LH05Pn7XND7f2kI+bsNQPlw/QT57ETE+W54lPuZjHz5Qm/g9cVEDPu0rKD70OSs+jMMlPhKGNz4EJDg+1eJCPnOIUD64fj4+wSg1PlyNLj5EEC0+PW8vPg5yKj6SHS0+t/QuPi4iHD5s3R0+zjBDPiHmSz5Mrj4+wC09PtoBST4JmTg+1UYwPmKmMT7iwA4+fQUxPhzwRj6x7Wc+JwhcPrMGTT4NAzM+Nf0nPhEzUT7c2j4+HngoPm2UKD6LdzA+mQ03PrxTNz4UVzA+OdgaPpbaJD5bhi4+9Lw+Pt3eUD7K8kM+OSMxPt4OWT68Um8+mRlDPjO+DD76wS8+OvU+PuYAOj6d6S8+oIsvPnKaTD4Y+3I+NaujPnGiqD5p1b0+OmpePsedSD4Y82c+oZpsPh2tcz4ai04+Rcw0Pr3knT4S06s+MhNpPqKXSz69Yj4++fJMPkeCPj5tiz4+1Z4rPjsyJT5u0Fk+i/E8PqJOBT6XGQo+GyIYPh3MDz5miQs+c3gcPpUAHz7RrS0+t9YsPnuQHz4Kfx8+9H0bPhqlIz7XOxU++LtiPiv83z6Cnao+8HMuPgSjDD4pcCY+PkQxPtNrUD4DqUs+lq8+PnRdKj63Ux4+rbIWPs5IKT5JPTc+dO8+PhT9ID6kq04+lmeWPgr6hT5H0iA+kN4cPp7tFz7dIgg+Vp00PgYiED5y6SM+mflHPiBXuD7kHgE/wMuEPhMWVj5cEkg+BIlPPvedTz5jYUo+UDVfPuZbQz5Upzc+r+QzPv1/LT4kujw+HAbLPSVKzD2X+Ac+7asGPrW49D0PYcw9eRapPQXilj03IIY9IQGCPYP8ZD3iA249na9jPf4Dbj1Md309uxiAPZJGdz2n1H09Cr94PXXiZj3QqGo9KYpVPTjBZD1Y+ps9dPiZPUPFfj1Aknk9p8hYPV7YXj19ZF89rG9mPdf5Uz1qxG89p3aQPd2jlT2RCJs94OeIPbUviD3m5Yk9usqZPU2zlD1G/6o91iu4PXJIsD1sZ6A9RQWGPfOrhj1fRpY9sL2pPflDnj10TJ09xeChPXEWlj0WB5M98puRPWgJgj2NmH89bqOLPQbVjj16jYs9cWaMPQhyhD2k/nw9LbaKPWNQjT0n6349rgaEPbcqjj0iHoA9DIOAPQ4mkT1Aso09E36JPWw4hT3cD4U9wIqePVXlsz1lQJ49NHCKPXk9iD1nuIk9FweNPV7KjT3GCZE9FR6GPcARhj1IAoI9aV6QPakMnT2vAJY9zD6KPVo3gz1E4Hk9UE12PUyYgT3hcoY93l+NPVs3lT1OYqQ9CAWkPV1okT3vI4o99YRjPbUJTj2z7Vo9vXZwPXMwej0SiYA9toZePY+caT1uMYw9e/CHPXfNdD2djno9c+eEPdpMiT2b/I09CP+XPSmUkz1cqn09GIt1PQjxiT3Tl2090fdyPbwMcz3kems9H2V1PeU3cD3QzVk9lTxfPX1dUz2+8GI94/BaPd/Ncj3lkIA9yet+PU0PeT3Yf3g9tAN8PZ0CgD37ZX49kiuCPSupeT1FAIA9mUuGPZHvgT05gIU9Vud4Pc9qZD19xHY9L4qGPbyTiT1Pz3o9QzVsPV7afD0T0H89eYNmPad2XD2I/m09hLN7PbN0aj0/P109ACZlPT7wYj0CdWg9PSp1PXTqcT2e0XI9TbyJPYHtkT0yr4g9H5iMPZBIkj2wVI09M+eEPfHFgT2xPYA9yTt0PSMLfD26U3s9dm13PUv8gj2f7Yg9GvaCPf2kiD2Y15U9/7eTPYAuhj18Hn892aWGPUf0ij19zJI9LsGBPbH9fz3RS4Y9h76XPWzPjT2lR5Q95B2XPcD1mT0aaZk9xH2YPUJJnT2zipA9m8qMPTMMij2proU9vmWLPa6ylT0hB5A9gY+KPcEolD32dJM9bxSPPUb9nj1nDKU9SNmkPaPFoD2Zk6M94LGoPVZEoz095589D/mpPekgnT1lfpA9Yq2aPdMBoD3Nvqc9+nOePSSonz3x/qs9JoKuPSsHpT2Z3609GAeuPSzDsD3N7KY9py2oPUoeoj1NX5k9X6qTPZfelT2VHJs9QzmdPZP5nz1Q77M981KwPdcjxj3Ner89PJesPdoJrT0YXrI9oz2rPTd9rz1w6LQ9s7KrPdLvtj1/c7Q9WAWoPX7LrT2Zx6s9JP6gPVnynj3Ap649QwCwPVTQpj3hcqY9CNS6PWnosj0zUKw9/PmxPbMMvT0rM7I9tq2uPbjTrD2jPqs9vAyuPfpcsT2w0qw99CqtPWzWnz2+/Kk9TK6sPe+0xj3nruU9QzXJPZbiuj0Iaa498xGpPeEapT03YLI9E8exPa7Fuz2rnrU9PtG6PULcrD2jjKI9JqKaPRGNlz3/n5o9TDSoPcLmuT1A7q89paioPSNVqT3FLaM9CjmsPTYnoD1bPp092IipPSC/rT0LZLM9Uk+hPUPpmT1qbI49Ng2LPaY3jj0T6Y4916WKPa+giz1ECIc9QMl9PVkbhz1Y+Ik9Z4CBPaJggz0WCIU9WoCKPQX3pD2JHqc99y+WPZm8lD3vtpU95/KaPTPnnz0QaKE967qXPRuHkj3EOJY96IyXPbVgmj0IUI89WxWCPW5cgz3nIHw9AyCGPUXugT1nbII97NaQPVUzmD0DO5g992+dPb/Xnz1mF5Y9vK+NPeThiT3Ys409ml6YPermmj3sb6Q9QaqdPYkYjj0AFI09rvOLPWrjiT0hXYs9Sx2QPVFWjT1EnI09guaNPSBTiD3yzHg9DqN9PRm7hT3SJ5U9RpiKPcy9gD1iKoU9zcKPPV6Nmj2C54o9M+Z6PYm6bz3fFWI9OjdQPWngSj04hVQ9l+5rPVBVUT3iDk49Y/ZaPcc0bT1ow2g9xr9wPSISaz2w9lw9cZg4PXLINT2fcz89S5xDPZ8LTz338k4905BMPUuiUT3AM0890nJKPW5aNz33VB094fIcPc84IT0+USQ9UKkmPQdsLj3HP0w96YlCPf6cPD0Ldz49mh5MPe03ST3gTFc9o7pWPQOlQj3pS0c9815gPW3SaT3qyXo9Tq2DPWnkhz07wW09/7hqPfLo3z0zTxo+2yQePmH1bD74mR0+cc2xPZwjhD0IYEg9CcBFPTGETj1/JlE9J1NfPTLXaj3R6X89chuHPe6CUD13n0M9QzsgPR5OPz2UlYo9OeoBPsFQMT4MXik+PZoePgBtKj5BaCU+wkUlPrDaIj5pHx4+nPIYPiypCj4kVgo+VFwUPjB9CD4YWRo+2kcZPiKzEj7OvBc+90IKPlxeED5AdhQ+qhESPtlzFT5juBY+sM4tPlUsST5ATDs+p9BAPp8AUz4ifkE+Ixk0PukRdz6+r0Q+mywxPq3CPT57tSY+vjhOPvccTj60mUY+/MBmPsgPgz5SUHs+GxFoPpqzhD78nY0+Be1nPnZiSj5rF1E+yTBMPrLEOT7iQjU+MNk6PtX8Tj4Gqi8+Pho5PtlWNz4+RSo+bm4rPgXZLD4tFj4+Fw1hPjysXj6lU1o+G2VDPqHiVT5twEc+p+4bPsAsHj4oMig+X3gbPvkdGj5TWB0+bEgrPsDKJj6+iSk+MtRQPpZmfj4oSlU+j9cbPlhPMT4Rkk4+uB8/PonGOD5G4iI+Oz0wPtBFHz7rcDY+KkAoPmX/Hz67zx4+dzAgPnbcND41XE8+HPFZPnR6PT50cSw+rLoxPhHbQj5tmUw+vRA9PhmNKz44rjc+3OM0PolSKz4rBjo+RTdMPhqGQT7fMTI+h7M2PnqZQT5aekM+1IU3Pr5OMz5zsT8+6k9GPrNXPz6JOz0+d4JEPn5KTz77yEM+UDo1PijEUD7aY1E+y7A+Pvh3Pj7SUjg+rOo0Pv+uQD4wy1A+XaZKPlwHTD7KnDU+ee40PvygST6MCkM+aPMxPoEtOT78hj4+CAoyPoLSKT7fTFA+RohEPviwQT4L/DU+2KQ4PvvOJT7gUQk+bFchPiZwKz7YbDA+Igw1Pka9Jj7isSE+7okuPkA3Jz4hqh4+8Q0sPsmCQD4GqFo+THWmPpPTrj79xFU+EwNEPnpiRT6o8G0+oBNLPmyQOD7rHEU+m3k9PtySXD479p8+DBO3PmvfhD7gOUU+j61DPkiGNT5aIEA+dXMsPvfTKj5xdSo+OL8XPkpHLj51wyc+68InPiNKLT5pMy8+OEMhPpFaKz5vPyY+TIckPoq4KD7AbBw+32cdPsBWLD6xSBo+OyBGPh8thD7t6ns+uy9BPknvLj7L6GQ+Rs1+PtnYej4h/YE+euiGPiy3Nz59lTI+hX0tPiWWKz6ib0A+4IQ+PnFiMj59wzM+l7SMPu4Bsz48Qzk+S7U7PiekGj5oZi4+RW5LPk9rKT4uyTw+8xhmPuahvD4IsLU+X69YPp5xXD6yQko+88Q6PoRgLz5KxjU+ZR5lPllSTz5S8jM+XcNTPm8TOj5vAzg+Wqq9PXpZzD291u09YJbnPXpFzD3tM709ZZSoPSahgT3Q9nk9Fs1nPX6scz37WIY98lKDPRu/hT3d4Io9nul4Pf7pVj2xgUo95K9XPTDwZz1t8nA93zN6PXymkD3GO6Y9+dRgPaV/XD0olH09H8p3PWSsYD2z9ls9FOJcPZhKYz0UQHo94L2OPSxGkT32ypE9czSHPYaZfj0vjHY9N8+JPQidnT3e5Lk9N8+yPUwErD32JrY9G4SpPSWvkz3SU5Q9n92IPTXYjT0IeZc9iRenPS4Clj0tC4A9E5aCPeI5hz1vaIY99veAPe0qkj14MKE9wESXPXntkz0LXZA9C5GHPY5bhT2Rio49rxWLPUH2kz1ispc94RuJPfezhT0oI4g9Kv+TPTNxmj1Vv5g9s+CoPSsHmT0KLoU9VyKDPUY4kD1EQok9YvV1PSBAgz2bbY09ujSJPSxNkT0jPJo9mdOgPXyfoT02/Y89ykaFPSPhhT04v4E9tJGFPXFNkj23IZQ9N+ORPRoCiz1PUYQ9GVuEPXG/gD1Uv2A9THNNPWuYcT24b3M9yBxhPf5sYT3Nz2g9trNpPVxmhD0QM489NP+DPTFtgz3mJYs9SnyJPX4Nhj06tnw90QF4Pblrbz2EC2o9srFyPUipdT2JiXI9v7dxPc0+aD0Zj209aFhrPeVjWT3CGGQ94P1yPe3+cT0WBXg9lIZuPWY4ZT0mJGY9WBl5PU7shz2EboM9TTOHPbp/hz0NpX89bzhlPcy1bT2jZn89PNJvPeIsgj0zWIo9avx+PeIQdD0SXpQ9b+WDPUTgZD3olHE9L9F6PTU+hD1PJIU9pcR4PZFkZD31sFw9NsRpPanCej0T3W49MvBdPey4VT2FaFw9naByPYvrgj3RJYM9l7eOPQUYjD0nFYQ9l9+APX9vhD0SrIA9mleJPRK3kT3ACYo90piCPbbSgz0wS389oXOIPUEziT2Ouoc9nPOOPffRjz1RXY49P3WXPSr9mj13R449MoSIPT8GjD3KUIs932OCPaH5gz3yBZA9WZuPPYIuiz0Sn4091DyPPSuCij0+Zo894V2OPSWHjD11T4Y9z/aKPZAlgT1rmXc99Rl+PVmsjj2QcJQ9afyFPR6+hD0ooYg9kqmWPVZsmz0C7ZA93wuFPZEDkD3pCp49e+eUPSaajz3DGJA9eECaPRgKmT1gXI89GOiJPTTljD0WS5c9nJyVPQ0roD02gao9umuwPS2VsT3Xdaw9HG+hPZ4anT0ItJ49OnaqPXitnD2LC6U9HTmkPfsfoD3q0Zs9G++gPWdQoD0Mi7Q99sqzPSbhtT32orc9PIKvPYqErD2xmqg9b+qyPeBNvj0gh7c9l2mlPe3Ipj3XH6g9H+2qPUsXpD0OY6w90YmtPa2RsD1O6qs905KpPbvAnz3GAps9q9KqPQT7qD0WEak9g2qqPWOSpT3HLqc99VO1PWM1sj3k0LM9jDCtPfRrrD2Mdq497fS4Pf1Xvj1bt8M9FE2xPeIXqz0jorM96hqtPU1Yrj2g5sI9vLC8PQW/sz3qcLY9rIuwPeZWsj2dFrM9El6iPSkImT0RXJA9yRSXPYItlj2czJ89PGaoPUHOuT22hr09WxqxPV9cqz1vLaI99q2iPURenz05p6M9Xn6kPXepmz2IiJg9642TPeT4jT0V54M9RIR+PWfSgT0wB3E9tAZ4PS//fj3pwG097ldsPVtJgj3uWZQ9YiOQPS6SjD0cdYw9h7GWPYukkT1hqYE9GJl7PQ9YhT2VIpY9+Q+kPY6ppj0tiKQ9N4ydPeBZjD3x5Iw9+72JPaCliD0ME409zAOFPfvxij34CJM9lOKSPUkojj1H9o896nCPPdqSnz3Psps9DyaKPXDNhz3S/oE98HiKPTd9mT0+Ho49mVOCPZzsdT3EMYE9OR16PRFxgj1j4IM94cKNPXm3nz0S6Zs9HfuRPaUwhD2CKm49eOhgPfPcXT0ZAoE9Mkl6Pf39ej22oZE9zMGKPQuBgz1qM449mzWRPZNBgj1Phm09KrNXPWUiSj0ZCmo9UmeDPdBcUT1Qj1I94QBfPTKoWz1QRGU9PottPdR9dD0hW309gTllPYZRWT24gFY9kPxLPUkETT3MQ1g90ddoPbJmYT0qpUQ9gO5APcX5ND24lig9y/UqPVSmIz2eQRc9pWI0PeMMPj3urjU9a+VDPXsDSz0FfEc9p0ZBPR6iQz3UiEQ9BrtlPd7xZz3z/mQ9sfxjPdlnXj3ZF2c97BxsPRPUfT2IMZU9HkOWPRLAjj1TwYE9AH6IPbictj1eLt89F460PQB9tD2aboY9EepHPVSpQT372C097sMoPTW8KD2mXkE9B3xTPbT9Yj2GvG49RlZaPbLbQD2AYjA9rtwyPVrnIT1RYBU9SqhZPdqQDD7kECc+1z1DPtREJj54RB8+ZOAdPuy2FD4S4Bg+TYUPPlEoCD7GcQo+SjETPijnFT6qLRs+BQUUPhIGHj6y4xc+vzITPj7oFT591BQ+yakbPh+fJj7ghyI+NGQoPrdvRT79ZC4+4K9LPh0JVz6k6jw+dPVBPnPknz44i4c+sytOPiDPVT4yvSk+Z0JNPtFrNj6po0I+0VhJPgWzUz6xGFE+XwxCPrODQz604lI+ti9VPquLTT7XgmA+sg1MPnHYLj7zTzo+HmpZPojMTj7E+0M+ga5JPo3uOj4l6SE+vVc5Ps6jOD4YwlA+irhLPsQkQz5vjoQ+oB5oPhJFLD5LZjU+cSwlPoYnGD5MlCI+CBwwPgxHMD4Giz8+RhhUPjG8Qz61ij4+x01FPlkMNj4Ejyk+4NMePqYsNz6chzU+dVw4Pl9tKz5oeDg+4Q07PmndLj69CTQ+flEnPk7oIz72VBg+37cUPgXBLj41yj8+bMwpPu3PHT5+nyk+eNYvPmdEST4fB1k+BIZDPhG2QT4Q1To+wTYxPgQkKj550C8+yOVAPo0rND4m2z0+EoY4PjmRMz4An1o+m+RNPjKiSD4KmkY+8o46PvtmPT43Njk+VZksPnkQMD71tE4+WGdJPhNFTj4TWEQ+BJNFPoFWTj7moT0+uOk2Prq/Lj7pgS0++fhFPgy3Tj7sDy8+HT5BPoEwYz7P/Ec+KcVWPlLYSj6KNk4+AxpZPkwYSj4j4ys+crktPt1zHz6VPxU+x10cPumjAT7LGfI9FbkEPrj2GD7+gik+7ctLPrZERz74hSo+ZbouPj0xKz7p4yc+TFcXPlBqLD5YNkQ+Rq9CPjoTTz7uikU++KlDPhs4LT44iEg+ycMzPolUJT4nxjA+WaIsPleKMD7RrTQ++stKPkrlRz4eVjY+7RIzPmNLHT5oCBw+3rAiPn1lIj5LyRI+mdQYPnT/Jj63DCI+WW4iPq2wLT4YLC0+8ZsZPnNXHD4Pyig+NRo6PlezMD4EkQ4+KCI5PpwCOj7YoyM+DI8ePrz6QD7thSs+BkInPkgYgD4+A6Y+rouIPvjTST4UGzQ+5BGXPo4yij7M10I+3vM0PtHzTz5brjo+BB0vPrKgIz6zzkc+/mxlPqX4TT4NACY+swwpPq6QHD4kchk+WWk7Pne0QD5AnSM+6pUZPgacLD649zQ+crlePhxadT6YrEY+gfk7PqABQD6pv0E+AVtSPtK6Tj6/bk0+RdBHPubINj5ZBzk+OKoDPsTu8j07z+I9Nz+3Pf5woD2m44c9EO9mPe9UXz3cilU944NrPbTngz3nPoA9IAqEPeNxhj3lBI89g3RiPaESQj1XME490JtQPQFUbj2qeXI9oYdvPfP2fD2kYGw9zh1SPUNtXD3Y7GI9CSZgPXDwZz2ubk49HcNkPavwgT3kkIw9Wq+QPXaylz0FzpU9Xf14PfgSeT1SvYw9n+mSPWSpkz1iFZI9PMCYPU+CpD0zS6c99KuWPbEdgT03gYQ9BKuGPWgAhD1wRZI9/RePPbMngT2ug4A9o4OAPXybiz2ofJU9i+WYPf5/nz39x4w9zU2BPXPJiT0v+oU9TmSIPYH/lT34apE9qsiWPQz2nz05D5c9EQaQPQnyhj0OyJo9C9iePVWWoT3jIJU9f4yIPYM3hj2xm4s9GkeWPRPapT3JlKo9s6CHPQO6gj2ykok9MwuWPTpdoj34sZk9dQuMPamEkz0pTZA9nXyYPUGnkz0MEIs9GPuLPUrfgz26jog9lmmDPRnUYz01soA9XkeEPSfKiD0iA4o9aqJ+PSsCeT2hUXA90VZqPdMEcj2TB3M9C8JsPQZkhT2b2349rNKFPds/jD0Tj4s9EV6EPYuXdz2SUoU9056HPaljlD0hpIE9RptuPeOSdD2902s9SH1zPQ4RcT2CdVg9ssBoPZKEcD3vF2M9maplPeNHXD3yC1Y9mZhbPQT1cz0FtII9WPOPPRxmhj0fVHk9ws1/PQcbiT32DI095pyDPVgSZD3Vyl49dKdwPTQVez1f4IU9Ef1+PRT9cT3Vb2w9tYR7PcGBjD3u+ZA9LQCPPaN3iT2WOoE9Dj5qPXICbj3292o9t3d1PRAgYT1t/EI9PBlsPU1kaj3v8GI9lwNuPdWSfT16XGg9YiZ6PfQhiT07NoI9i0Z3PeAwkj1RPoo9eKuHPep7hD2ICYE9uHOKPe+giT1epXc9BfV1PaGWgj1SkYo9WyCFPduFjT29kJU9MjObPfJ1nT2oSJc9oM2NPWA7hj1xvHo95w93PTofgj0sVYQ9iSB/PeeCgT0QUIU99+mOPb3KkT2F0Ic96bh5PWVuez3hE4E9wVaHPW/JiD1El4s9mwiTPXe6lD1K44w9VKZ4Pa0UiD3VVpE9l0OcPY6clz20C5E9RkmUPealhT1KMpA9xuKQPUQLiz2P/Ik9jnmWPeLJnT0OJpM9CfaRPb5Yij3GupI94MmjPesTrT369rc9zES9PX2MxT1sT7c943q4PTw8sj0xD7E96nSsPZiMqz0C/qo9tkqsPcTMsj252a49H8amPSw5pz3LoLY9UEC8PTbIuz2OCrM9+n+oPT1noj2zhpc9dxOfPU2ttT2g/Kc9JN6lPfUMtD2bea89WJyzPfThoz2VfrU9adu3PVZpsT2f86c9dcymPUYcpT1mZrE9VHayPRG7rj04zqQ9l+SjPYFknz2kGJw9WUKsPWBjvT3bDr49Lly0Pbo9vT19wrE9pgajPSQArT3bDsg90Wy2PWdqvz3uJ849MTe8PYp5rj2YoLA9xfGkPXZOnj02N549hiqnPeYsqD0U06495oijPXm+kz2ZPZY9Z76ePUIitD02Jbc9CkGrPU37qz1k96U9/3acPZgsnT23lpE9N7yaPX/Wnz2WhKE9u4ecPRgbnT1e2oU9RwOJPcbDgT2okYE9HnaAPSNygT0dSnQ9xHduPTNDdT0B4o09AgmiPbGflT3a3409yTGKPSAohT3p5YQ9/cOFPUFkiT1Tgok9d+2PPR27lj0/xaA91y2pPQpOoD3n6Zg9HMmKPXYThT0jyYc9yYGbPVyPjz0U8Io9WyOTPRE6kT3K4Y499HSHPa0IlT1clpc9ZtaVPawImD3X1ZU9j8uQPc3OjD1Xips9h6KZPR/xmT0bsoU9T9NyPeimcj1nEXE9uGuGPefklT2EEp49MM6VPXsBpD1tc6A973qEPdMSbT0oJGw9QPxuPWmveT2YfYw9jC+FPYx0eT15IoA9u1J0PQCCfD1vvZQ9z4iNPSx8YD1RCk49XkxQPYrLVj1fnlE9OWRPPWSlND10T0w9JwWAPbgBfj3swHI9gpZVPXQIXD0IPVk92P9aPeiUXD0N82g9OrFtPZ6uaj1UQoU9FS52PaE4Xj15bzM9BfkyPX2KND04YS09Ok86PXSfQz0UPTA9klEwPZ9mRz02yj89VK8tPUcFOT18sUw9VCZrPZhlaT1QCm89LxFiPeNsZz2cK4k96XWVPSQshj23SXI9/7B/PWk9hj2C7Ic9aHSJPZkSbT0UhG09aUJpPW0sXT1qG049BHBMPQGRSD1SETs9lfM8PTzcPD2o5is9e60rPWtxMT01AkY957pLPdLYQT0T1zc9HuIuPew3Mj1uwCs9wn4QPUVO8DziWPA8MK7bPL+P6TyPhGI9jSccPnk0MD7vjQk+6CDXPR6i8D1iog0+XoUNPtC7CT5aOBU+wsgVPlBXEj511g8+VvkNPm2bIj6gFh8+qyoVPs6iFz7n3iU+FeAuPpCGIz7yUhU+qL0UPkGSKz403DI+H7lUPoopRD7d8kY+tCtGPqgYgz5wEp0+iMWWPjjebz5GUi4+WY04PgaELj77KTA+mRMzPthTKz5yHy8+euY2PuK+Nj7Qt0U+aJ8xPmQgPT7Rz1A+VFcoPqfEFD7lrT8++CxcPpCZOj6+Zj4+fQ5IPm56UT4NcFU+lPBTPqrRNz42kkQ+ZVhKPg65Jz4qgkA+eRgwPgxNIz6m9Tw+KeYzPjatHz7DN1I+jXppPolFVD4NuD8+G0A4PhvNKD7a/kU+rZRFPuAPSz7QYkg+/PFCPm7lMj7Ua0U+4Lo8PgikND6YQTQ+S0IrPtaWID4KiTE+YXIzPp+nJz5asRo+k2kJPmxOED5oLig+obssPmwAIz6Mkh8+vU01PhpqMD5Ivh4+uuMyPkIlQD5wECY+c8szPqVVSj6agEY+ThVBPig8Mj5ofz4+YrY9PlPdRD67lFc+ffc7PosgNz4qGDk+eVVCPvHPPj7oqTQ+aVAdPpm9GD4JkjU+1iQ8PoxOST4eKVI+OOY4Pkt4Kz7NRiw+e4M3PopKKD41Ihg+wd9VPlMNQz5aNTc+ePhePiQfaz6vbEI+ke1SPh/uVj5uXjc+Zy9aPi3liT6v7Tg+q34/Ps0YKz7y0i0+dmgrPvj6Hj4xbiM+suUgPi4FPD6psDo+kyg5PgxEPz60vj0+OdlBPsrMQD7/jzQ+gpgqPqQsTz6os0w+/Q4+Ph3pOT54iDc+aUhPPomJKD55+jI+41wlPvLkID56yCs+a6svPqHoMT51diM+nh8zPnBrGj74BjI+FAQqPnoYHz7pRCQ+MPEkPoU4Lz7O7jU+VxMnPixSND7p+mU+5NdtPpzoVz52lkY+O6w1PkGKJj5J2j0+Q4QoPuFyET5EFw0+mSJEPjgHPj47ZEE+c2BZPn2aLT7tDkU+NtU/PoAiOT6F7Eo+g0opPog1FT70nxk+/1EwPrmMPj4Ra2E+f7M0PspPNT7gxzo+AVwyPqUcPT7nFDM+zk8fPtCTDj5MhBg+iE8jPt3LJz42CSM+T9VJPpSPUz4hrjQ+ekYWPupaOz5xYk4+CklnPggWZj7oKEE+KA5OPvhqSj5I6Us+OisqPqOnFT5BD0I+QshaPkE1PT5f7kY+TLOuPW0Zwz2Cx7Q9E9ypPdUOiz3T1Wg9jWRxPYjRaD3xXmA9D79fPXGdkT2j5KE9t/x8Pey9Yj2qN2c9UkRQPUPyTT1Vo1g9/hpkPSR9bj1DnnM9C6KBPYxZcT1lfWY95hllPe07ZD1aC2k9ZLpoPYewUT0PkUU9025MPZ+9ZD00Mnk9C6aLPUEmlz0/FZ09zxeOPX0vhD2mjYo9qZ2LPWm9ij0bQHw9OueGPYqilj2FiJk9E7WOPd2KjD0nYps9bs2aPZ75jj36hpU9vzeSPfbHjj201409olaOPSrwmz0GO5M9du2RPVMBjD3IdJI9+leaPcpXlT0WaJg99LufPe8HpD20/5Q9rCeMPVrugz17X449nKmgPfRfqz0rrcE9L0mzPRNtoD2DsZg9+tGVPfZ2kj3wRJM9cB+UPVumkD0UQ4U9yUCKPVDskD2PAZQ9nPGMPT/bij0JrYo99DWWPY25mz3tKpo9JgyFPVmbiT2DL5M9mByFPfr5fz25m4g9ZEeCPfMxgD3hoog91J6WPcYjkD1BdJc9F5OLPT4Nej0szoQ9vsWVPTcGhD17OnM9qeuKPcESiT16CH09Vx9iPTxobj1yz4Q9PsmFPelrhD20dYw9tDmLPXu4lD0xhoY9rfVpPbqcbT08ZXg9BwVkPdEZVD1d6kk9ucNfPaswZj3oyl09B+1pPU5+bD322m89i49tPaiXZT2UWHk9KV5zPTomgz1qdHY9emiLPS2ogT1WL3Y9I1uDPSKGaj0/GHY9xlp6PSpPaj3F9G49tOl6PfF5jT0cQZ09hP2WPZdmgz0xw3g9Vlh5PTmlaz2ZrmQ9FLllPYLsbT1ZwHk9ytdlPedJZT2Ni1I9ZhBbPdSJcj2cBYQ9qpt+PbX2dT37/Xs9IUeDPcrAjD1wnYY9eXeKPdNgkz2juoI9OFxxPWi2gz33sIA9pPKDPY8ygT27V4s9wcWDPbwxiz0zRZw9z5qOPXstjT1TYJY9DSGYPVpPij2YP4E91YSFPfURfT1wG4I9uCqQPV07mD2PqZE9BMyKPaQOiT0CRYg9xO2LPYrZjT3akoQ9H52KPfDlkD25vY09jcCOPQFyjz1FmYk9PXiSPfXImz0kipk9uBKVPXS3hD0Z1oU9UXiGPVS7jT310ZU9QIGOPcs7gj0OhIg9i5mOPRt1ez1PA4Q9M8yTPccmkD1KL5E9qwSXPccppj1g56g9xW+iPYzAnz0Lh509C7mjPYmWqT1/abU99L6mPTPxqT3il689kZmsPYLBnT09Pas9E5W2PbgfuT1kVLA9RZCmPRcUsz3dCrg9tmOtPcydmz2HrZQ9NOqOPb3TkD0f0Zo9YZCjPWp8rD3kRLA9uz6pPfULpD03Bqw93LeuPS4Lqj1n/6o9T12ePae3pD2iAaU9UiOlPaG5qT0zbro93w23PRpitj15MKw9ngqqPXupqz2Jva09/u2lPSlCrz0nor89C/y6PQSetT24N789KUS7Pf3cwj270MI9ByzFPXnJtT0qn8k9hDO2PcE+tD0qYLA9WZ2ZPQtnkT1l55Q9NEuyPY91oj1weJ49l8aaPeqQkD1hup49B07CPaPZyD2SyaM9RaqJPVuNjT0xzI89GBaTPUc3mT0pjJQ9G2uiPXv+rz30I6o9QtaNPb0LjD2ozpQ9oD6NPXJjej3FsoM9KTGDPXcddj1TCXo9RLd8Pf9Sjz3I5aE93UKTPRlxhD16pYI9kbWJPSEsiz2oqo49feaSPVGAkD0BeKc9QTmePTUFmT2D/5s9y2yWPdSOlT006oQ9lj+BPUU/gD2TQoQ9GniGPc11iz3pu4Q9qPx+PbpXjz0PqJg9qkCMPbd+jz3luIA9mo6KPb1onD2kTp499OGlPZu3mj32wYs9efaEPSXzgz0td4s9ulmJPWRMjj006oo9FQiRPdzUjz1GuYw9cHeXPSR8jT04aoE9v3duPUxbdD3BDng9vYV6PchIbz03zXM9GWh7PVIMeT19e4Y9g2aMPQ38iD1xB3U9uAZSPSrOVD05HFg9cIxIPUnGQT1WcVA9SkVGPflHSj2jMUs9oSBXPXSSTj2fKEk9ietXPUJtVT0V/F09Iu1aPVzkXj0zNnc9ipx/Pb5Bcz2nDHE9E3NhPV0qQD3Y7Tg9HINGPQokPz2JZTw9eMFAPbFnPj1y7T49mLA7PfP7OT1PWDY9NTAyPW6eRz2KZ2w9z1dqPU89gD3ryHM9WkFpPeccdj0T8Ic9h4GJPTzGgD2ozmc9ISxtPQ8gbj0V42A96FlhPUMJVD0m8Vk9IDNdPRDHUz2tR1Y9JSFnPTdBWj2e1k49NkpEPSpnPz0ELUo9KFpWPQT2ST3Sv0k9fC9KPbLZSz1ncTY99bslPSm8HT1HZQI9sFrlPN0O8TzlDAc9+Xy2PLsivDzXh7o8PU/BPFdkAj1W/kE9mA0/PSnCSD0K0Zw9jYsmPla+KT75xyw+lv4qPv32Hz6v9Rw+aUwePlSbIj4XcSc+Qr0kPn7FHD4XCSI+kw4vPttqID6tih0+k2oIPu5vID7cuVU+Z9hBPi06ND64AlY+zzhrPkgoiD5+06A+HGpzPkOzLT5Lnyk+DK8lPthBJz4KVh4+hCwqPvdVKD707i0+KhA6PvL7Vj7cSU4+3HIaPhWsMz7Hz1o+cCo9Pqb1Ej6MtBY+xcI2PvGMQz4R3Es+sS5DPj3nPT56UDw+M65WPhRyPj6cqyU+6nArPkqgJz5slho+q5YiPrGnJD5a9yM+lZtOPoQGWT5/iS4+aAAvPvPIHz7n1Rg+A7IfPnPxJj6w6i4+Ne8jPhjCRj4Ep2s+VypTPns4Mj6xo04+qLhHPvVDNj4BMC0+7pojPu80Lj4r0SQ+W6crPrZxID7Opho+clkhPk1lJT76Gz4+I8QrPsQLNz6gC00+KKdAPtTBPD46Jxk+83EhPnp3QD4kjig+NyonPq9gKz6aCTc+tuFMPjuzND5pWjo+ImBCPgigRT53KTw+iCovPoNmNz78cVY+0rc+Pu8DSz6NW00+vW4ePmalLj7MvzQ+AN8xPmuIMj6as0k+kig7PgvoOD7Y8jI+AB5CPhcVMT5xOB0+TnkuPhDHMT7kNzY+MZNRPhNgYT6glHQ+FOqXPgXTYj5lszY+4swwPtfNPj633UU+aB5iPr/eOT4R/zc+B0RLPkJTiz6JyV8+8Aw/Pm2xTD6yu2o+EmJVPu9iPz526zg+6z0xPi3bMD451DU+tPZGPjD6XT4XIUU+TdgmPiL7Pj4QclM+v+M9PnJgJD68oSQ+YW8pPm1sJT7KSDA+chs4PhhiMD4Q2B8+52klPlXlFj4HYxU+/r0uPkUOKj5Vtkg+fBkzPpvOOT4+Fi8+4xolPrwGMD63G1w+DO9oPrulSj6Mj0g+TT48PjPwND7hbBo+1WcrPne5Kj7SIyU+q5kEPgP4CT76O4Y+sKSWPqjrHj5RFC0+iXIqPkXhHT6cvyw+IUQnPsAvKj5kZyc+VzIgPod3Hj4zoxQ+6h8SPl1GGj7CQj4+fbw3Ply3Lz5vEBk+u7UTPkNvFD7O3g0+BNQaPpBVMj4a+0Y+AupHPnpkVD6aIEw+EPtFPmo5Uj6d4Wc+zxBfPrTrWT75kVg+aMpPPvnmRz4AdUs+POlMPuykUz51+kM+7fs6PkNzIz6puiE+YO+mPef8sj2BWq09KfKFPQdZQj3GvFQ9/upKPabmQj3qHmE97t59PRcEcT0hqII9y0KAPahYgD0gqYE9pbVyPbOKWT2xqVU9yMdVPd8JST30FUs9R26CPcFbhD1H4nA9LQRqPbZ2aj2NK1I9pSZGPTPLYT1aWnA9AmhxPfcHaj0rn149ZKlyPVGUgT1t4pI9tZCePSIImT1yWpQ9kryNPQKCiT1CUZA95q6OPT2Okz3aXKk9B+mqPZUwoj0nObY9hvi4PWwMnT2NQo09hlOfPQlDnT21LKE9Z0+mPW7vpD3HjqY95CqTPRGPkT2Vy4w99HSOPeRYoz1Zx5093Q+NPWCzgz0KuWk9JbSAPbigjD2rS5U9lKK0PUTXxT1fsM49RMexPY2toD1RtKs9rYuxPd5aqj0N9ZY9arWNPdBxhz24yZE92MWVPcbXkD1T04E9m26JPXkejD1toI89E2iWPaQXgT1A5og9DpiKPe81jz17kYU9Om+BPbs+gz0tkpY9BlGZPQQtkz0tyYg9BkyLPex1gz0g0G49kQlpPYeSgD3d+XY9LztyPdqwWz10Plk92QJtPah8aT0MFV09veZ1PRS3kD3yUpw9ArKPPdIHej23XX09/nhmPV4UaD2MM4E9m3OAPUnlaT0Lk2o97UNzPbetcT2e+nA93slsPWBubz3smW49SJZ6PUq4fj0N14A9QL10PaNHZj0lE2A9HGVoPWeWaT0003U9Bep9PRp2gT0W+IY9xX12PcDdXT2zBGM9FVd2Pb8hgj1nhYs9pDGHPcXykT1krIc96DuJPZ4EiT2pxX09cRd0PYRDfD2/SVs9Vt1UPU52Xj0nTmA9eYp1PR9TZT28iWs9p8xuPTFKaT3GGYI9h86CPTCObz3kD2E9vAt8PZpnjz1ff5s9oliHPYXigT3t/Wo96sFxPafZcD0/P3E9jL9xPYWujD3wLZA9NCCVPQAqjD0wnIw9aJOJPeFfiz1f7Is9DhWQPfirhT08roQ9NkWCPfKdgz3wgIM9kvmGPY+Ehz0Fh4g9TDGKPR4Ilz0zzJU96p2NPSw0lz2HO5A9RZuKPbU5jj2NrI49mY+RPcJ0kD2EFIQ97EyKPWcrkz26vog9hyN1PURtcz0+DIU9g2uPPVo6iD0yxJ095NqZPRpVjz1ivog9YN+FPbN3iT3glZU9UHqdPXutnT26V5k9fEKnPXYtrD3SU6E9oYeYPU5+lz04wpY9enOjPUI/pz1uZKI9KYGvPX0ptD1Saag9YWycPV+Joz2Ft6o9fruyPSPxrz1VU6M99jqSPSstnD2/cp89dEKiPfxzoD2NUpo9On2gPQCDnD1ZxaA9Ew6iPf5+pT0XT6098OGZPX5ylz1qe6I9pFq4PalkqT2OwaY9DAqgPfKypT0umqk9DHWyPcoJsj3d36A9eu+mPavJsD22waU9GSCqPTvbsD0RWas9E3mnPQe2rT08das9y0WoPSXqqT1aTas9iB23PacgzD3VjL09MzezPQXEuj2YY7g9SW6vPb1amT1BJJo9cg6cPaSukT3b4Y49wj6aPfFzmT1JzZk9OtSZPaO5lj1cipk9trOtPRxInj39NI09SqeGPSOuhz3uLow9zXKAPaNPdj2ZFpU9Vm6qPWzOnz3xvJM92PyIPaWUhj2/Gog9VFeNPSANhD03vIA9+ZCDPVTdiD2h6Ys9lcyMPY0gkD3WopA9OyGJPfyWjj3wZJU9K5KTPYQeoj2YmJo9jJiSPfwalz2mxpo933mRPcVllz0XpJo9j0+SPbCyeT3z9oQ9n+ORPVNYhj3bgY495kuRPR1UkT1UPJg9eRSZPftFlz0/0JE9UEKFPRbZjj3r85M9NPePPVdKkT0qW5A9G+yGPXWdjj1t5o492PSGPdAMgz2qyII9yA2JPWNEqD02+Zk9iEaXPfOqqj26PaU9Zu+JPXIVhT2G4oQ9xAN5PRPzaz0PWYA9rr+KPSfzfz0qCoE9vpuQPTwoiz2xq449CMeKPZwkej0oDGI9HjdNPdGaPj0Dq0c9VWFLPb+OSj2+rlM9KRlePYXCZT2eBWs9gyZoPd7ZZT3PHnE9+EFzPSkPfT09D3o9pX51Pcu6bz2uWWA9xOhlPUGlWj0PE1U9JU1SPSdlYT0eonQ9avh0PbDiaz3/OVk9RilDPeVOPT26Xzo9qX8+PTKTPj05JDM98ZJCPbMwTT1Y92I9SRBxPWXegD1RDWk9p2NUPWywbT0rt3Q9dAlfPWR9UD1LSUU9V8JbPfFAYj1TH3I9i0ByPbqecj1nZmU9hPZRPZAOYz0my149wqViPWIvVD2NKE4996xSPfnWTz35yk892yNYPevITD0slFw9bYJVPTDBPj2niyY9O5n6PDokwjx8I8w8oo7nPC4WEj3BXxo9aey+PMLurzwDSac8EGuaPPswojzRaMw8TOXcPKFyDD0liQw9YujyPQLiRz5Igzg+4dMqPuZSKT5Xgh4+Z2sUPtED1z1PsBY+2NkjPjBbKj560DA+dl8yPsSuPz49gEY+G0tCPps0NT41rU4+qXdaPicDgD7oI5g+8tCbPtjElD6jfKI+3+1gPkyHKj662C0+ST0hPtuiJj5D9iY+uaEwPhrqMz5eaCs+P8oqPtMYSD4K0z4+S0ofPoXQKz5QYEE+hK0zPif8Ij4OUxU+fLQlPmXlPz7j5Do+Q0lSPjp0Sz6JQzA+5nUtPtLdKT5E9iQ++B4rPrWqKj4MAiI+r0goPrQgLT6s2C8+M5k2PtGzVD57lUc+sCQXPs+PID5AsRo+YOgoPs3eKj4z+iQ+6nE6PtRGUT40flI+sJJrPhiERD6Irys+p/wlPqGePj70TVY+jQ4+PpvlRT5Gq0A+VP8sPnEVWT4xf1g+YppcPu6vcj71/VQ+uU1DPgOLQj7IUz8+JpA8PnTSQT4xfS0+ymAtPtMCLj6xdys+f8U9PkOxND5B5UM+oGZ2Pr8lRj69PCE+3AglPiY4JD5CiCM+EDUxPkRISD7NF2A+gag9PsozPD6qCyw+FqshPpLBIT4eICc+4ZIqPpOHLT4AiVw+19hQPhM+LD6wRzE+7eo0PlLgRT60knQ+hq5nPnPrIj7lJx4+A5I9Ps+GNT5bIXM+LHChPpj+Wj67IzA+2Y0kPrhbKT4gKjM+qy1TPprFWz4WlEQ+xptUPtuwaz4PwWk+6PaYPvzBXj5+N28+PsFGPtfkQT4+9Ts+bLgyPiLzTj4Cukg+Y/A6PuILST7akzI+eL8sPhU5KD5McjM+uOoxPrmbJD7pSCA+fjIoPjXZLj5LiSk+knMyPrRCLD4V7CQ+cYY2Pv56LT4xcR0+y6YlPldbID6VNik+iucvPkEXLT5IvTs+NeYqPm0VMD7VLCk+uV0qPvwZNj4PGz4+IlsyPsLZRT5x4jk+NyYsPrFQLT7e0ig+rcMoPi26LT619zc+OlxCPiDkMT7ePzE+o9owPi2BMT68Bzg+AzEuPi3cLj4abS8+SAYWPhJ4JD7OcCc+s0oXPpewLT5UIzg+C8wrPi49LD6qJSs+MXoZPiNAGD6A0h0+JSwuPjgKRz6J/FA+yW5CPg/8MD7g40E+cfpLPgdWPT7gplc+V51rPhNFZT54+WM+8ORKPpoOMj5qpC4+CU4vPp2ONT5vYSA+uOAhPqXUMT7eDD0+vrqaPRpMij0NGX89ZDRcPb2pTT1tMlA9ZfxPPUFRXD2X92Y9c3hnPZuEUj0i4Fc97KuAPdAwgD1KWnM9aMVsPUZSaj3M1lQ9FYQ8PdpzWz3ADmM9vDZzPfeHhj3IlIc9uj98PcBSfj1WZ3Q96kNsPUdiZz2cFmg9xhhoPd0+Vj16WFg9iDRvPY1nfD2yEHk9Dx6MPW5qoT0Y65E9VKWPPdDskD23l509gKqePSSMnj16TbE9ztWpPT3GoT0lL5g9GcekPZq9qz1Uk5c9INedPencoT3gSrI9cAiyPS/AoD0yBKg9QB6aPQUElD1dVJI9/faNPSHhij2zrYs998+KPbS0gz0B7oQ91kaDPQRqkz0CubI9QPXUPVjH5T3xMrk9gF+rPaWdsD2Eq649h8ahPeSjlT0KCY497maQPV+tjj2Mk4c9NGl9PRwrfj2PE3c910uBPepGdz06enw9OeB+PVjFgD1PPY49OauLPdJIkj1Hq4U9S7iDPavomz0BVKk9YI6wPYQhmT1cxII9JldlPaYfbz0bgWw9lZ99PRCMhD210Hs98O6OPT3RiD00tWU9uF90PWtHaj0qy209gDWJPdVDjz1u0Hs9MrphPR85ZT0U33A9yO6APZSQfT0eiXk9lQ54Pfp3bj1mAmw9MQt+PRlOej2zpFI9IJ5NPQ4idj2TJZc9OtWOPZ8sZz2eBGI98OVQPYRPXz0rU1Y9a7ZYPZRBfT3Geng9z/h4PRW2YD14ync9ak2BPayRbD3eNnI9hrWEPTP2iT3lL4Q9jCCCPVc0ij16qY096ONyPbWEaj3P1W89L9dkPdDRZD0dMmU98GhkPdIgdD3zNW09n/VqPZNUaj2/FV89iituPUsDZj0ZAVg9bsprPTA5bz2hFnQ9eBpwPQ0bfD2HhoE9zBqAPftpgj1wKWw9PFVyPdToeD0+XoI9G7yBPfPBiz3u44o9ePKIPZ4XgD0Manc9LGqBPboYjz3LYI09X2eIPalchz2Q2I49tUaQPfSNkz1+8ZA9yquOPQzulT1UdpA9KaOSPXI4mj0jS5c9zUKSPdnVjD2LWIU9CsGNPeAtij3sBIg96jaMPSIJjj3Mr4Y95nSAPdivfT3ylYk9boaJPcg2mD1eH5M9ezWHPU1VhD0GJpI9h6yMPduXjD034ZI9PPySPbXqmT24j5k9TOWKPf7Viz0PvJ89cROfPYJflj0/wp498oeNPeFHlD2V/JQ9+CmcPQQbpT0k46Q9LNG4PXnvqz10TaY9md+bPdtOoT0UPKQ9IuCXPR7Snj1N96g9tNOfPae8nT3fKqA9weWqPYevrT0TN6Y9fEGlPUCGsj1AJ6g9RPmfPb3jlj1frpc9InWdPd+cpD1O7LE9SjW8PUSypD0xIaU96j6iPULmnz1Cep4904SlPdf+pD2Pl6c9JtW7PSz7tD1ru7Q9a1KtPcJXpz20hqM9kJ+nPeTxrT3ubKM9wFOoPVANsD2HVrg9HTqrPZseqj10kKY960GTPQ9Lmz0xWps9Cf2cPbCWkD0ELpU99ZSVPRvOlj2pZJ09woqXPdR5pj1/u589Si6qPcnCqD0EaZY9HUKDPUlYbT0qoWY9PVloPWbHaD2Ppm49L+V9PXMghT1J4ps9Gt+bPfeAhD34wnI9yTBxPWcTfz0/6oY9XqGMPQy3kT2q74s9voqFPd5/iz1ma409JJ2PPcZ7iz15tY09nu2OPWgCnD2k2aI9lRikPVsakj3QAoI9OrSGPfQPiT3PU449KNqHPTjYez11EYs936aJPe3eiz3TmIw9rlyXPVV8pz0KKJ495smiPbmrqD1yMpE99ImVPWwmiD3PMX49sFt9PXcWgz0VoYQ9bjWSPbgQnj3/m5Y9lwyOPVb9lD2WBJk9LXGUPW+oij385JE9PLWVPWQDoj2ELJw9cQKVPaKtlT22op09dkOWPSRBkz13B5I9xyeMPSYrhT3JQIQ9fK2JPdK5hj1eA4E96u2IPcvBjj0i1og9l4qJPXRvej1qlGo9J81fPSrpVT1AIEs9kFdLPb/VVT39pmE9ZxtoPTZFgD13Dow9hiSFPWsqgT3nwXA9ql1gPUj4az0IymE9KrBbPSvIWD3VxU09uC1kPY9KXj23rEw9VdhbPexYaj2EaXs9jcV5PUK6Vz306EU9Rbc/PUyXMj0u9DQ9iss+PbwRPD2h1zw9XAtdPXWqYT2blDw9kWE4PeaoSz0WiUs9MxtNPWDfXD0/wWc9RVFxPdJJVT1YuFg9NuNmPUhvdT2YgGY99idlPSXAWz33X0k9CFVGPY6PUj0dSmM9BTBlPXEgVD15xE49SeY+PXJsOz2vzzY91AU5PTzdHj1lggg99JX7PE+V2Twgy7g8nSXGPOG/xDxTBrk8WbeoPGrRrzwKZLo8gry/PMcEpDy+uqg8djCjPLIqoDxq/qE8uiniPPEFIj1j2x49J3IwPVFx0D1chVo+HmU6Pq8qIz4Ejiw+fZ/5Pc5Q4z1CzRw+CcotPgrXLj4UtDA+/WYzPhrYNz6d9k0+6IBHPtD4JT5G31A+cjBsPoZ6XT4Wyp0+I0uZPnm6SD4LgDo+c0ouPibVNz70rzg+o1k6Pr56Ij49/CA+RqglPne/Ij7cxTI+JEcuPixKPD7YWTk+HGolPjzAKz6mODU+jCxEPjoUNT6BRSM+NahEPivEPj5dSDE+FZ5YPlWyYD7QOUs+jnozPnpZKj5dYhs+g94jPsnQHD40BDI+0YZfPqIFRz4YcCE+GKk6PrtEND5VTCo+1wszPrzIKj7KpVM+7QuOPm0Khj487Uw+4AJsPhKkdD7zW1E+XS9nPjj4ZD5mfCw+tP0nPlMzLD4UcDQ+/Ew2PtIyMj4jwE8+lwNMPkbHYT6m23I+S5RsPl89Yz5Ct1g+vdtAPopGNT6mojQ+L7U7Pje2Mz6H0jw+RTkhPg+/Hj5eGy8+nxY9PiPiRz6dX2U+kDVHPm+sGT4Qux8+6ykyPkX8Mj6zXjQ+5W1BPmdLPz5kNVU+3gguPgHyHz5WtSs+H7osPqZ4Nz6+8U4+6kI9PuYONT6w3TI+IpIsPnvKND43HDc+FMJWPulldD4qFUk+jg8qPqIRHj5u2xk+LAQyPlqSMj6zW0I+YBJWPsMMVT6XXyI+B/E0PuCzQT4YFjg+GqBQPqSygj5O5UI+lsoVPqkpQT7ugUs+7F1/Pn9YXj7jQT8+aD5GPkAbHj74rhw+xjAyPrdxRD4ZUjw+e084PgtNJj5WUyE+K0QoPqITIz6fbS0+aA4ePo3DGT7WZy4+3zIxPmecPT5g+S4+c+UmPor8KT5TBiA+kDMqPp0kNT6CJh4+naUcPnJXJj6tRik+9Jg3PsI9Kj6TyDU+Djs0Pq+gKD7x3yU+LHEoPupeMz64nTs+vwY1Ptw8NT6GwDM+ps45PoXULj4fCzM+bfE1PuUBTD7dwTQ+0cEePgQAID4E4CU+imIxPi/nID5jYiA+ucMqPr/MLj6nyjc+f1EzPuyjHD4Oni4+0REtPt+uJj6AKRQ+gMwrPlP4VD557kY+rXIjPqTjKT6wtUA+71tYPlvtJT7gxD4+nWdDPh8mRD7YPDw+c9E5PkcUQT7UP08+0KlUPsTsWD7UkSE+4FoqPotUdz75e14+rVcqPiUcQT6IPi8+ZdFEPm8/Pj54bTk+v051PdAZdT0IJH49301zPQ/iST1y3j09v/ZZPcyJWz2v70w9JMRQPfy+Yj10hmY9k9tiPWi4az0gTX09H15jPcHKOD2jmDM9VQYwPQH2Xz1tCJQ9qa6PPcw3hT04jIY9+k13PX3haz2XTHY9pO9uPcy9VT2D1Ec9O2NPPTOUVD3gSFE9t8xoPTa4ej2UpYE950uGPduOhj0P+4U9zJiWPZwKrT2I+8M9XFS3Pbs/rz2EJLM9FRS5PfU/rD0tfrc9gPepPWxYkT1zU5U9+SqzPZXIuj22lMM9I5a2Paetnz3nYZg9/AOFPcyPhD3OYpc9SHKWPdCPgT1kOIs9OO6cPTf6lT28wJI9MxidPXvirT0BM8U9/4XGPRPy1j3IUL49TRusPYekjz0To4k9hD2UPcFLkT3pNIo9jhZ8PQ/cij1aJo89YTOFPe7ecj2b43Q90ACGPfXggD1BZXE9qKl9PUUqiz3HpYM97qZvPXwDfj1CGpg9gECpPRKBmT3Ih6I9wsqfPTldiD0FMHo9q9GCPQhdhz0G3Yo9F3KHPRvGhD3Md4Y9MK6MPfRdkj0yhJA9Le6IPQA9ej3XZnk9v7CHPVbDgD2Mco492G5/PdJKaT1XOXw9EHSBPclEhz1sa4o9NJqKPZuFij3sxn09dFuHPbaDdz03J2U9pBlsPTNnfz2v4XM9D8dYPSnhZT1U/3U98k11PSgjjT2nEI09RLeAPYn8hj15jHU9RNlkPWyIWD0LiHI9vOqCPU7kaT1eyH89mzyPPYCygj1QV4c9m2uLPQz1kz2fho09kJxzPSu7aT3TrF49vbRfPQM8Wz32TWw90ut6PalvdT0omG09YepTPbI/YD1E32I9XTZiPcGQYT0nO209F1B6PY1afz2LhHI9mPBzPaFSdj2AG3w9oul4PX7ihz1b6YA91oVyPYLkdz32r3g92biHPdxFiD19ooI9HmJ0PQN/gT2AC4g9PpqHPbJ4hz1pOog9HfqIPUzThT1Zd5I99+2kPfRgmz3D8pQ9jmSRPTo8lD2rYI89KgCSPRZBkz34wYQ9706CPRNYhj07IIQ9daOAPWDAlT3AUZM96aOGPRELlD3L4JY9GDCUPZX+hj2o44E99z2LPapHkj2+A5M9F7uKPXHsjj3fUZc9mfCXPSRMmD0ch5A9p/GNPe5xkj1p2JY9UD6qPUJfnT0J55g9xHaSPZ5Tjj0Vpoc9pMiePSKroD2sfpw95lGbPU0vpj0rLag9t163PXDZqT3zKKI9d3OkPa0knT2r9Z09ULytPVvxmD3SA5o9xf6aPQftmz2q+KU95eauPcKgsj07xaA9RQ+mPdFAqz0pmKY9QTOnPa1bqT0g9Zs9TvOoPaXwtj3ki6Q9XRWbPQZKnj26i609MJ+jPfQOoT2aIp89akelPY6CsT2dHLQ9bvCrPZfdqj13VLI9km6uPX0Foz2DCas9OeOrPY42uj2+Qr89n6muPS3Xrj1eLrE9BeWpPaghnz3kspA98wiUPck1nj0lFJs9pt2YPXv1mD3SKJo9SfadPQpXnT217qs9nMiyPXihrT2dRp89g72lPUwSkT0R+XY9a8toPZaVYT1LwHE9BfZ4Pebuhz21TY09t8mDPc/oej0dyWs90rBsPaQpcj1NzG49U9ZyPWHwej3tI4c9Yl+aPQXfnj3IH6A9mg+VPZtbjz0Baok9K+SLPW2nkj3heZw9H1WUPT+jiz0UGYs9GO+JPSjPgz1Oc4c980GOPQijjT3MU409R2CLPcSNgD1ZipE90/6fPR8DnT2q1I8908aePV68pD0+NZc9nS6QPXN3jj0+74U9JfqLPW2NjT3m8389E2B7PQ4Tgz2QT4k9YUWOPbdrmD09ZZ09eGCdPYGClz2wG6Y9YEWpPeeepj0KoJI91b6FPbt/hz1NtYw9xc+UPbhbkT2gspQ9NvCNPfwQiD0aPYs95juIPcjqjj22LYw9hYKIPTIpiD3gRX892BiIPUbejj0MxH49yvxxPY5dbj0MZ2c9mz5VPXePWT2v1U89/KBQPQVdcz05Dnc9RHiDPb1BjD05loI91JJhPVr/XD0WDV49qkpLPeMkRT38dEA9vU9UPdzuYj3j/2U9f6hbPR3PXD0q9Wo9TAtrPS7DZz29kFw9Ru1hPfNLVj0pt009mhNPPWRcQz3k4T49wFdHPZhuVz0h+FE9uoA2PRQfJD3qsCc94Uk3PbaCQz340ls9dK1hPfmMZT0S0HA9ijRxPZ8Mbj0K9Fs9cchMPbL0SD25p0891w9kPVZqUj0EIUo94ilqPfaQdD32vXE9++FhPek0VT2SoUo9lY81PbnrLT01+Rc9szHyPO0n1jyrqLg8mr66PL60tDzw3bw8rBC5PNXryjw1f8A8ZtGjPJsZpjz6p6w8y5qdPDvFpTzCFsU815HIPFE4uDxm7748uQmvPHQw6jye9xs99PcqPZiMZj0uFSQ+ad13Ph2CST7CbT0+4wYoPt6NLD5MOCU+fbkpPl7ZMj63qCc+eKUnPhGWIj48WhI+9FwzPiN2Rz6M2FQ+FeNkPpobej5lT3E+t9NGPpfJMD73Bi8+yxIvPl9wKj5Xkjs+8lEyPjrMJj6pgCE+CoIpPv7kNT460TE+5qwtPkTvPD6kxkA+taAYPv63JD5Yr0A+yF01Pn1mMT6oLjM+SxQzPpizKj7z00g+zVFWPgQofj5ghj4+CUcqPuvhJT4MYyU+CPpCPvBdKz5/jyE+C1RBPtZGND4X9Cg+glwtPjboKz5GBDQ+uSBOPod9Rz5oxX8+vRm2PkyznD6ipj4+5gAgPqrEOj7kXVc+IIRQPn1yRT6z4EA+ZrY1Ps7jMj6m7TQ+bzAlPnYLKz6YwC0+8W1QPgcMXT4/ZHk+ltWqPsdFgD6PJEg+TDg1PmqjPj6R/k0++4VMPuFpQz69vDc+ZcQePti9ID5ySEI+l79DPr7FKj5oQCU+uXQoPiKvHT5msCk+4JsuPnUcOT6kBUA+eDUtPkTUKT60gDg+VEozPjMGPj4pkzY+h5U6PggaRT7lUkw+jpcnPiJbHz5AZBs+Paw7PvLdPD57Qi4+L7FDPgBIPz5GvB0+2UQlPma8Jj4ftf09w/I3PsgxSz7uMVQ+CktfPiD1iT5xYUE+rBVGPnNhQD4KKEo+CuRCPpmUVD5ZujY+KWggPsaWSD5jrjc+zKVBPvxfSj4P6Ds+1CpSPr0VND6asS4+3hlBPnx/UT4yjjQ+33kxPtL6KD6V7yk+McggPhEcND7GTyo+7hcXPn4yIz676Ck+TOQZPv5jIz7fISo+9ZkvPoasLz5OFSY+38MjPrABLj7kZS0+c3owPn51Kz577B4+ym9CPtC5QD6AyCw+NCBBPlDKVT7iREY+Q1U9PidWTT5eIVw+Ox8tPuW7IT6pei8+Qxw2PsSBHT6yWx4+iIojPvlsNT5I5yQ+kqQYPpPGED5SiR4+RTQcPolbFD4zlCI+klgkPqftMz53bC4+aWlBPigiID7ujCM+EpwWPpHULT640Rk+dusmPpDEQj5xIjs+zMgtPrq/NT6cTTo+oKZQPnGgMz4clD8+KQdKPsCcQD766DM+XPosPgYeST77704+IJVVPi1uRz6qnkg+4L9LPj9yQz7mdzM+4gg8Pu80Vj41+i8+wLxCPuTWOT4B/ig+rfOcPaGSlD0YU4U9V31UPcLyPD0+LC89xz9LPfK8Uz0QJEo9RCpRPTNqYj1f1Gc9gx54PY24az14YW49pup3PdIeOj0Tvj89B1ZVPVDpcT0ahnc9z39sPYaBWz3JElg9hXlNPa08Tz33pXY9pwKCPd8bfD0Iqmw9TgtnPS8yUD3SgFI9My50PRftkD3RC409X0ttPTqFbD3yOXg9EQaGPbxGiD3rmrY9szHHPeFuvT0tdc89aTvSPZdJsT0bJJs9Y2igPVxInT1cXbg94yjAPQRhoD1bd6Q996CgPYnhjD25VYc9bPeNPbk/lD27HKI9zgOTPeFRkz0NpZo9m8awPS6ZpD1jgZA9vkugPfeqtT3h1bI9t+ylPR1IpT2LcKU9le6PPRDKiD1C+Y497vabPRqDjj3+3X09kaR/PWtyiT1nG4o9wt2CPdLEij0L1Y09ME6JPSaPfj09zm49ayyEPfC1iD1pB4Q9jiOFPZkljz1Q6JE9BEWFPSCdfz2iqX89UNiJPaNKjT2ezpk93X+nPQy+lz0kPIY9OVmIPV0Nmj3r9Jc9wh2ePTfalz0KTIA9AtV7PQFbgT0W/IE9K/p9PUUIgj2ROYk9KrqDPbkjbj3yhXo9zgaGPSvUeT2QL309/YWNPdWwiz19v4I9Z/t7Pf/8bj2d7Wk9lSt2PeH/cj2Fr2o9mwhhPcASfD3fEIs9YOSNPULQjD3xA5Y99YOWPX61fj3Wenk9wYt2Pbq8YD2lAGo9zpFnPdG2dj1okn89Qrd5PR2pgT1WE4U96K2MPWVdgz1yh3M9p2NmPVIkdD08tn09+Q92PSNlcj2GCmc9xzNtPcPXdT2zUHg9cllfPZXOYD3jxm89ZaaEPSWyhD31/IA9l52BPXX5bT22ZGk9dFV2PaSkgT3ys389ytiFPeHZfT0ign89DRiBPS7ggz2xyIk9hoSMPS5Cgz2M5YA9r6BzPYoghz0Zp4o9aqeFPbtMhD2lzYs9exmJPa3Tkz3p8aQ9hAGXPX1MjD2UG4A9aVV6PbolhD17kYk9yD6TPfiKkD2ltY89FXKNPVoGhz1U1Yg97bSKPZYdhT01/4s9hfOGPeedjz3b1oQ9eQyFPVTjhT3TA489BhuOPTEekT1MXpE9B2uUPXEanj1iZaI9P9ebPaZihT3r5IM9+fGNPWJZjz0vwpo9OO6VPa4Ukj0XfIw9bWGQPYrskT0hHZo9hj+nPQi3oD2zV6Y9EsypPfoAnT22npY9rqiTPXLxmD37q6Q9MFObPV4Voz17Qqg95qukPeihqT0EwKQ9dJWnPcLUpz2udrM9qHetPXE1sD1XFq89SRqxPbHFqz0x7rQ9XlmsPf2Rmj0WLZs9jaWePdkAoj1vwak9KAS1PVimpj3ZO5Y9ZqiSPXdppz2Ui6w9wYmaPf81mT3OKpU9pvegPemHrz1aUqA93XmrPVwGtD3h5a49xzq3PdPHxj20C749Qq63PdcVuD1PGa49ZtmnPZHnmD2AS5Q9xrGdPTN9lD0do489/2CSPdjcmj3GuKI9ye6qPU+buD26Mro9tpivPY6Loj22RpE9QdGLPabbcD2NhXQ9U9ZrPcoGZz0pNIA95TaGPeHgfj3EJ4A9qPxnPU0JYT2rjnY9ViuDPfsKiD1BU4I9tzyHPeHuiD1wzo496WWVPTdqnj0aYKk9jSKePSBwlT0/F5w992GWPbRGiT3W04E92OKIPVrhhj1vYYo9BFyFPRf/kj3oJ5g9xU+gPT08jD1uFY49z+yMPUuMiz0aWI89K32XPVTKmT2kWZA9DzOYPezTlj0Q6ZE9kAqOPZwAjz2NDY89U66UPbAnlj0BLIs9LQiEPQAAjj1I05g9zFOoPapYpD0f7549gDGdPXqNnT3hIqc901GlPV7+oj2+U5g9Vp2PPdBflj3hqpY9IY2UPU7AkT1fQYs94d6LPdcNhz11LJE9D4OOPR9Qhj0X44k9n3+QPT5Aiz3B4Yw9qVuJPZWpfT0D1oE9+Lp3PY+kZz3WklQ9GU9KPdqNVD0qr2M9/4NkPccbZj0rzmI91YdlPan3gD14CIo92J9xPXaKVD3O/F49P8NePZfiVj0HK0o9LD9PPXP5Rz3xmFQ93vBbPRoAWT2XFnI97J+CPS/tdT32QYo9dDebPRzbjz3YiF89AutZPRycRT2l2Tw9zCM9PdFtOD3Of0I9pYg1PU8LKz1yqSY9QWI6PTagRD2Kw0w9eIFtPc4scj01TnQ91WprPQZKUj0XflU9hjJdPdc1Sz1Uq1Y92qpjPVlScD2AI209XH9yPXVTez1TAmM9sghOPTkoQj3IJEA90kwsPRfvCT2CDcY8wjq8PB/3uDzI0Kw8F3WtPLLzszw7MrM8aC+2PCeUvDw9BKw80qKgPKUCrzw5h6g8bh+6POXAwTzOtsY8JfvRPN85yTxrOrU8/2GyPI9isjwgmc88JcAZPTDpIz0BO5Q9swFPPlVlXz5X7S4+tzUwPniVMT6mCjA+tRUxPjpoTz4POz4+stgxPm58Lz6yUA4+j2IhPiH5Rj5Lqig+0Ok0Ph3/Pz6I3Co+BS8kPtNCJj5PfSg+EuYtPkx8Lj5pzSI+EGsiPvurKj7BICw+6EwkPki5LD7U2SQ+nZ8pPlmMPj5OmUU+FxQhPmv7FD482iE+78YxPuF6TT5+lUU+FYg+PruoQT6FWls+G3lbPmNeVD6bhic+a3QJPusaFz7iSy8+h7FCPv62Kj6n6RI+QdwwPjR8MD4BMiQ+f44sPmM/Fj641zw+6P4tPvXIMT7hrC0+8nFRPh1ZVj7Ulyo+jV8lPohDJj76NCo+9ccqPsZnLD5YoSk+Iow1PmxfLj4CnS0+4tssPlF2Ij4MNC8+yNpVPj64kj5PGI0+cdNaPnsnRD4AHy8+Mt40PqEbPD6FrCo+eRZAPteqTz4/pzA+7LQiPmVqKT4F+C4+vhIlPlRAKj6h6h8+9W4uPrk7KT6jtis+BFMqPmmpJj4qBTI+1oA6PnKRSj6fc0Q+hKM7Pi63ND6p/yY+wP0qPminQT4vLzM+Bj8rPtGUCj5MDAI+uQwuPhAEQj4GSyk+8g8tPnJNMD5kfDA+/dk1PvHhIz7tzR0+Rzs8PlBGRz50NFk+vq1bPpBucj6cwV8+WFhFPv2uPT4UnjY+jJQ/PkuBVD4VQVg+lUVEPodTUT4GV00+Y5xIPu5qXj7SG4M+S8BqPt1CLz7U6TE+T5EuPvoWRT7lrFA+2gkxPv5+KT7ETyY+WvcaPiRgHj7TdSA+picnPurWJz4N3yk+XM4fPiRTKD5AR0I+YS1cPu04PT4kqjA+bH0cPvX0Gj6IPiI+s64dPuHQPz5LWTk+ZDZoPinqXD6H3i0+PF4tPlCwLT4Beig+1OQvPqsfhz5na2U+HvwuPvZbNT5xEkI+FDBEPhb5JT6blSA+tdMtPkmuHj6t2hE+ftwRPqcSHj7x5R4+xooJPjZmHj5ZCzI+bqIwPu5tID7iKBg+N/gdPgVIGD6JvxE+MngfPrCGHj5OKRY+zJAlPjLjLj48DTE+dq4oPiGOJj7PWzc+Mhg3PloMNT6re0Y+L1ZWPm4fQz5L/EA+CrM0PrTILj7xoi0+gj4qPgiMOj45FSM+294vPlOERj5p3WA+LDNnPvHSYT5rW0I+wGBDPmVOND7z4iw+gFyPPcNkXT1jZT09xQxBPX+IQT0wrzs9mcpOPUPiZj127ls924ZPPX3TZD143Ws9LilQPTxdOz0dKjY9+wRSPVE5Tz1gomA9MYlhPediUT0qkEI9OalVPdJ7XT2iFE09dqtlPTf4hT2D6IY9yc9wPei4bj3vaGE9YphBPU5sUz08SnE9aTp6PdZcfT3TA3o9JBF1PakSdj2oNmA9+bBQPTCmZD0uJJA9pq+nPeb1pz3sWqg9aFqgPYx7oz3+JbA9CWGtPT42tj3Mwaw9QheoPbH5pT1XxKM95VKhPTPwoD2NU6U97LSiPRkbnz3a0rE9fKyoPS8foj24SKM9FEWlPfNdnj1L6qA9twqSPdhzkj3y7po9/wu2PRu3rD0CKZk9f/qEPe+dkz0tZJM9R8aPPXV5iD2zCXQ9dSmAPQjjfj32A4g9afV9Pb96gz0gj4Y9Kz2LPbU+hD2iios99e2HPV9qiD3zWoc93KyCPX95bT1zOXo9TFV9Pa/+hT1yZp49XE2UPffrjT1af5I9qxGOPXy/jj1AIZo9NpyIPTCjgT2HVYk9d5eDPUrMjT2GG5E9d0+TPUrTnD0MOpo9SNiIPWkthz1DHIc90u+OPTYvkD2Lh4I9nNptPdzUeD3VhYE9UE57Pdnlgj1IGoE9hd2JPdADcD1jw2E99xB6Pe0Pgz3v5oM99fFmPapnbj07NYY9h4eKPYbmcD3E6l49/uNkPRiBYj0bc2A9zEVgPVF/gj3dX5I9zO+PPZPZkT3AnY89V3h4PQtAVD3l/2M9hdNvPfxegj3sHpM9R7OLPdqkez3VEms9b2FkPbgQXD2JxWM9r3JjPQe9eD1jb2490x1tPRmLXT0KvV49wxhaPSR7ez27OYA9T212PSUEXT2f5VI9AJtwPTYafz2ufoA911pyPcrgfD3b+ow92X+GPWX1gT1ApIU9dceAPbKagj0384o9pQqIPR2lgT17zII9E8mMPfX7iz0kko89n06PPU++hD2NDYk9AHyMPYudhT29Tok9ax6OPbYShz1dFYw9Hd+RPYVGkT19gI09buCMPbf2jj32FZU92MWTPamRkT1S/4o9u5OJPSzWkD1clog9RZSBPZx7hD12V4090giSPXAkmj35WZU9BI2NPYkSij0i1IQ94SCOPTR0lD0beJg9QeugPbVNlj3Gn5I9+OSSPWRiiD0fuY49uF2ZPWEHoT1FqZg9fEydPXUbnT3IaLE98JGkPfBknz0pz5Q9KTyXPSeJmT2LNJQ9WkmmPfiarT0PK7Y9xWmsPcnzoD2c+aI9MdWgPXI4oT38e6Q9CTaoPRudpT1WVa49fCWtPTiOpj3tApo91+aVPfF+qj2StbU9bk+xPSvxpD0cT6w9qWiuPfAJpD0LR5g90K+YPW+Kmz0c9aI97LCbPU4Fnj0Xg7Q9F5S2PRAAvT07Jro93AusPd3cuT2kN7M9J5CxPQWwtT1Vl7U9PGGtPfCcqj2tL6E9R8mMPTAUjT3C+ZQ9foqnPaj1pj1mO509Qk+uPZxXsT0wB609EIKzPfIitD1KMrQ9jdO2Pae7qz3Gloo9cvp5PYhAcz2KcXU9EH2LPZ3ghT12XYE9Q16QPW7RjD1okHw9OBNqPTywaT3G9no9uPuIPbTljD0wd4c9vlyGPaEciz2sg5A9coeUPRA/nj2cD5w9u2GaPUpcjD1ogoA9HFR6Pc/pij1sCJI9sUiQPdhLkD3ISZA9HwebPdixmT0AJ5g90beLPdU5gT2R7oU9h0qdPbKGoD2UeJQ9vaiaPcZnmT0UG4k9xqSBPRDvgj1jjYU99XuIPWmCnj33+509q6uePQhuqz2O5509mMqWPS7dlj2QSJc9rjWfPeTUoz2/QpQ9rYqXPbmClT2iPJg9JD2SPf2kgD0X14M95UaGPdVChj2HeIc9rfmLPUINkj0nTZU9/U6SPfIplT1VxZ89C2WTPZZRiz3eK409QVmUPTXYkD2yAY09pBh1PZ94ej372nE9h/JWPQN2UD0W0E490cJVPWtQez3MboE9Gud9Pc7TfT3C3YQ9eVqDPYMxbz3mg3k9HSBxPa6yXD3d/089eDdVPbYLTj0XQVo94DRWPbKzXz1AO3U9KIKDPaVhbz3sJ4E9WZ2GPcMlcz1pTYA9LYmPPdLHdT1owjI94hItPW8JKT2/fyM94jgvPeWLQj3CqjU9oho1PQg5Jz1tzSY9zUY7PQhiQD2Z4k099g9nPTqthT2PHHM9aHxpPeR1az3ZSYQ90M5xPQ1sYT1+i109qgldPbL4Vj1b6Wk9SGpvPRQmYT3pZkE9ZzM6PVLjID0y8x89YksOPSPwxTzOrrc8yYK5PFBVwzyDS688TxSuPLeRsTwDBLc8B22uPKQjszwooac8iXiuPL1ctjzqDKo8jgejPH3jwTyiHtY8YpzaPKaC2TzS2MI8Q/W7PIYmuTzjexw99LFtPfRSKD2k9lY9zIEUPlobaD6DQEU+WUs9Pt6HND72HSU+5w0wPtQMQT5KeiE+yEUrPlBzOj7t8hw+EncmPuUNPj7vKDM+tbIsPh28LT5z8DE+5hQzPjwvMD79+To+eZkpPlSLID7EXxw+GFQmPoQEKj4v8y8+WSgzPkzxOD7HbDY+Bo08Pku6PT7tRCI+O+4TPu2uCz4JByk+IhQjPmZ/MT7d8DM+qKFKPvdXWj4m3FI+uEhCPlb5MD6JXBs+3iYLPqLEKT4DtzU+WBgiPtRDHz57LBw+gCssPgOoPj6egzA+oFUJPuyJoD3sbOk9kxo5PiVtOT6J7x8+s/UgPiDdPD41WkU+Wt4sPnw5Kz7HDyQ+y8koPv5VKD6bxSQ+WcIzPpHtPD6TATY+OYk7PjZxQz6CKkU+na51Pg0FhD7IiUM+OEc5PtJ9Vj4XB0o+bp41PnlSGD74qhw+yFAhPkKUPj7dfD8+SW4yPleKOT4l0TY+dP4oPn5qKT5jxzI+CfopPouPMz4tfCw+fw0zPogzMz777Dk+IuY6Pl0tSz67qU8+rPtWPk0IQT6Odiw+cncjPoCsMD72VTk+OY83PhBBDj7flQk+VK8OPhnVLD5eDxU+RUMrPkbNTz79B14+SJs5PjkNOj6xtVg+IWk4PuRxKT5Rj0k+7n1GPhQ1Oj7NnTg+qQcxPuN3SD5PJDw+PQUuPqZ8NT6UjjM+DuQvPmG0Xj7ILnE+nqorPpfhIz7ceik+sQ5CPn3fTT7mjys+XWw7PoEaYz4SgDk+8U4qPozKJz5+CiE+nxIcPl9KHT6ZBic+sKYhPtbgHT6Bayo+R/g1Pl+rWT5G61o+ddUwPqykQz5JhE8+fTc3PqjOMT7qySs+yuYkPnZRMD5FXUU+ZBFPPqe1ID6u6js+8bpZPvzyPT6ORj4+WdwuPlH2Rz4bqyM+eAMePs0xGD5DJyA+b4wdPv4sKT5QBB8+sj8jPnM0HD5jlSI+A2svPjZvTT6Dyzo+qEwsPn4jKz7KOj8+Y9gpPuaGCz64SyE+GR4ePglGGj4xeDc+H0clPnjrGT5fMxE+mCcYPtuyJT6A1iE+oSgePtcEIT4QqB8+JxchPghXKz6kkDo+iqo8Ppbdaz4c70U+K7g9Pu4bQT4eqSY+NOg+PrVChD4ULYE+s/x3PiLVaD6TnlA+fCFCPsRuMj4jSTQ+WZImPmAeDj76nBo+WdYfPewhKD3EKSU9f5JKPYoiXj3fBFo9zHBMPYHkQT04vVw9Cbd1PWp1cD0orFQ9Lmw5PefPRD0auEM9Uik/PQQhOz3zPjI9Fww+Pab2Xz35xVs9ORhOPV7AbT3jz289cGJ/PeVliT1sCos9U5SBPbkHXj0ex1M9NmFUPe9tXz3/rH89bTuEPYUqgj0Temk9vhxsPZ7Oez3384c9WdlUPXyHWj11hJA9hcmZPR2xpj2ME6A9JaePPTUApT0BY8c9YnXDPdRFtD3vJKk9QSSzPSsztz0wb6w9IU2RPQUSoD0f9aU90R+qPSGxsD2S0689lBOgPZ5Lpz2u9Kg9szOfPXwmjT0jvpQ9yjCOPQADkT2ZyZY9PMuSPdGWhT1bnoM9SR6LPWEzkD2wF409TrKMPXkpaz28L3U9k794PYvqXT1VrEw9aVhzPaAoej2LlIM9xH+VPSgvrj2+iKE9mFSGPV1ifT16eXg9oXloPUYZfz1LSJc90RWTPcWdjT25gJM9vvaDPfhTdz00MYg9NdqNPSxAgj2lQXw9BDNxPf9VhD3wxpk9qBqgPZ/Emj3YRJ895yaJPWOmfD3veHs9422FPREenD0Hy5I9xiOIPVX/gT1bwHM9Z/hxPc4Rdj1ikoY92riHPfiDiz3aX4Y9WjuEPWz1fz26n4c9HVKNPYhhfT1CtH49BVVwPSmpWT2UgFk9Mr9XPdGHXj2Vxk09H1ZQPVWJZT0RsXE9n/6FPTPWlj3iVpg9hDqDPbFaez3mY4c90z9qPZ/0aD3vwWY9bpp3PRHSjz2crZE9tvhzPc34WT1NGk89TZdaPU/OaD09oXE9+xFfPaqrZD04D3Q9hXB/PQgrgz0qEoU9eAl5PcijeT0+SmU9fihqPZ4QXj0THWw9QtF6Pabebz0qzHY9ADt6PfxSfj1cwIA96uKFPWNZgz1Z/oc99tp1Pfcycj1orYQ9myWCPRBmgj0EPoU9XtWHPcbphj0mPoo9yW2BPTNKgD1jjoY9obGKPcVAgj3uVZE97D2UPfAnjT1mvpI9YWCPPY9skj1XjY09rBmMPYuvkT1A/I090iWIPdTjiD0KAo893nqJPXKjgj0fwn49NWyGPR1CjD3ncJY9XimdPWZfqT06gpU9muqRPTcIij2X5Is9K3GkPbDmvD1atbo9VBayPeE1pj1FXJE9o3CUPfdakT0gkJg9afuZPdKXmz1A96E9TwOgPcSLqD1m0Z496w2YPQ0xkj1WeJI90KeiPVIYrj1z86U96JinPeNeoT06cKM9TA6jPcuOkD2YTYs9AyCLPWnkjT2pRZY9H2uoPd7fqj0eQqk9JOGrPbi3qz2BXqU9h/2tPXZ0sT06jsI9CDenPUUinj3OUZg90vWnPdfloz3yS589q7KiPYlJrD0hdKE9KJ6wPR9xzz3Z8749DGKxPbA6vT2I7L49mCy4Pbeppz2okJ896VChPVE3tD0pxqk9rQmWPTsAlD2+8Jo9gUuaPTm7oD1A4KE9eDyiPaxApj0fAao9+AasPRXapT2l9qQ9bn2qPXZ7qj3hx6Y98QqWPQ8AdD0TNG89VZx0PTWIgz13/YY9T7iQPelYqD306rs9hZu1PWyIoj3G8ZU9VZeUPfg0hT0FZH895OB3Pfsjhj0jg4M9bHmLPZyEjD0CB5c9XXmUPYSMlz3j3Ic9kKGHPdMnhj2esXE9DFmAPejrhj17lZQ9btydPX80oT35CI09g6qRPUokkT1j4Ik92tGNPfMPmD1IDZ095NGaPeCwkD0NE5M9HUaaPWZGlT21Bp89UUKsPWGmnj3OrJU93KaVPb6ikz3GIpg9OGyTPS2Djz3TK5k9nN6nPYk3oT3uPJE9SoyFPfoWdz33oYQ9GRiHPQUojj1cw5E9+bSAPR/Fcj0bCX49h/mCPTjJhD0wyIU9D1OFPY2gij1XyZ49/LGbPSWjkD28dY499QeHPfxQkj1VV5E9O8OKPVUDeT1z2YM91+R4PYCfcz3FHnY9I/xYPeGvVj2r1HM9nYeDPQ0PlD2785M92aSVPTKQhD1N5oQ97BZrPd6EVT0eYFc9AVFJPUI0PT0SLkI9VTZLPclYUz3GHlA9nAxKPYk/Xz0kKW09LG5GPUwASz0m+lQ9ldpaPR7lUz3Vxm09q/l2PfVCaT2tMFI9GaQ4PRg7LT3+OTM9Mis7PdmBNz3+dig9w/EtPZMJMD1Pyik9c2E4PU41TT1uonU9bq53PfSUXz2kqHA9C1mJPa0Ugz2OEoY99JGMPb1+ZT2+iUU9aqo+PSX4Oz3aI0898H9fPQ97Xj0KF0k9hs8ZPRJn1TxpXt48yF7sPI1y1jywlLg8Z/vIPPRmuzzi4bU8xoq+PGbIqzxzN6I8c5a0PFE6szwTy6k8nuS6PDEQtjw6jKU81mKkPBsJvTxDhtE8DV7fPEua1zxVP8c83gHDPNfrrDzUtPo8bx4jPbMANT2unHs98E3BPXQlbj6l+WA+imA/PjOFLD5fFyI+RWogPiCUKD4nCCs+hF4oPq7IJT4x9iE+Q3UfPoeJLT4Omys+bUosPt7jMT7d8C0+pJAmPuuaLT58/T8+QEkwPiyRJT66vi0+x4MuPpxPKz5zBC8+qTUlPugdJz4aUTA+EQ8yPnZ5Nj4Wqyo+qPAOPhShBj5WvB0+RuQ0PlZfNz5gGj8+1PRTPrkpQT7rRSQ+a/4qPm17ND7+3B0+hU0wPmSfLT47Wyc+3eYcPsXUHj5AaCU+NAIzPsmbOD7PRSk+HHYAPoW5Jz2ADLo9IBgiPsXUJz7fay4++0ktPsJPLD6UrDQ+zqEwPpQoHz6grhk+GB4aPjW5Kz605S4+DvwuPo82OT6dzTw+Ju4mPqB+PT5KJlg+XnmLPmKHTz5jCiM+RHc6PmM1bT71B1M+v6UjPpv5IT4Ysig+vDsnPuEvKz6Y/lA+35tGPp/kRT77OTg+DHsYPpESMD5/3jc+36gzPqoEHT73IDA+1eM7PopQVT4ug2c+IeVDPl42Rj4uG10+661VPug2ST4KYEU+PpZBPimHJz6J7gw+ZZcSPoW7JT5Q+iM+KZYwPrGCUT5rKCs+goYnPiWRIT5HeyU+fXc9PqnTUD7TUUQ+ycosPniLMD5LzUI+XDpPPgNXUz4ymTo+5TErPhd6OD4HiTE+XYUgPotxMD7bfig+djAwPovmRD4Zgks+0LQwPjC/Oj48nG4+8aBcPhKTND67uR4+atU2PqirSj67tSA+LGIgPubsHT5s4SA+UKYkPsU/Mj7uLy4+mvIvPsvtLT4rDi0+zzYpPtw0MD45DEA+qQE5Pk3iJT6QGD4+bTA1PmjfIz5+ACA+XHgnPqrJMz4uCDQ+of4uPjf+Cj44oUM+DpxTPhOvMT6jMU8+FAgCPg6C+T1mAiM+B/0aPhv5Lz4nHzE+6wAtPllSDz6dpR0+2zQePt0TGT405hg+Z6knPmIQKD4HuxM+1TgWPnxSLD67aUk+lwo0PuPMGD5ymRc+YSYaPjtVJj7TCSk+JyUpPsIsKT58kSA+N8wmPvlbLD6jsB0+7BkoPnHLJT4dVSI+dlsePsaHHj5Fsiw+O5ktPj2IXj4pmU4+K1knPmWgID6ZiDw+Z9duPv3cUT7qGy0+trNaPlSfZj5OED8+XH5IPqcUTT5Aii8+MvAPPl3pHz4v4xU+x/8hPUYbMj3wD0A92eFWPSxXYT3veFo9ZplSPZ+2Xj1VLHo9j610PUEWXz09PUk9Wj08PT8/TD17/jM91MsbPbBKIj2I2jg96dNpPeyPZD0iRjw9nAtsPXotgD30xYQ9hat4PZxyYD3QDWc9HlR1PeTTYT119V497w19Pbg6cj23B4A9Um2EPdfKXz3hXWM9f1uGPUGoiD2f83Y9fe93PS0OkT1x+oE9u3NtPWSfmT1OuK09gR6wPRl5tD39l609UQ+vPdD5oD2JaKM9cKC6PeojsD3KCaQ9d7GaPXvbnz0OMrM9hDOnPQIRlT25Po89xRiQPTIMmD0+eKU98simPbLFqj1RMLE98cifPaEVmT3jVpw981KcPUKDmD2wNpI9PZuhPSDRnz16O549sqWWPb+Xij1FMn892gB2PT/9XT19sms9PtJ7PcUzez2DC449RBKKPZuYhj3xb4M9hRuEPT5fhD0zLY49yPqNPUFhmD1gaI89tANzPcEmbT1a8pA9B5uTPV87eT1jzGY98IFbPTqeaT1BzIY9YZqWPemMmT39Xpg9w36ZPdvylD0FcIw9fg+GPQFEkj04OpQ9VwGSPQeuhj2qAIs9g6qSPeA1lz3ifos9iqx9PT4fgD0EH4k9aiuVPe1ohT2K4m0925BuPWFSgj2eUps93lWoPfgsoD1+DZU9uTSbPe1iij0+om89buZePVCsYj0vnm09BfdxPWCkdD0Qy4A9jcqBPS6hYD00g1I908dQPb6DUj32RGk9Vm99PfUfbj3YhHU9zoOFPT+bdT1qNFk9uOtJPZ0XST0qz149MWuAPbxmgj3pqG09I/dbPeOQYj3KEYA91xl2PSvsaj3R0Gk9nC1YPYlaXz2kVnQ9zLaFPf1mjT23Nno9+t93PcVfeD2avnY9ag2BPVnzfj03Fnk9a9uBPVzBiD2JYoA99Ml2PczDiT3FNYA977t2Pe7OdT1s/Xw9cTOJPftciz1QVoU9gymNPflQij2yJoU96Md+PW3bdT1ol4E91xOKPTaghD0h+JA9WtaSPSO9iz0lSIM9I6aDPYfvgj3vGo09elaTPaUjkT3jBYc9MHSCPb9Pgj18QII9R3mAPQL9hj0UnpU9666oPUglqT1XjaY9swmQPRYukj0Ev6A9i5KzPY1Vsj0M26c9piWqPUknqj1ciaQ92bqkPb7zoz3euZo9cNagPWm9mD0KY489hjqGPS91ij0A9JM9oZyZPSCkqT2xx7A9qKGyPVg6rz1VAqM9XySfPcm5kD1kPYo9kIqQPao0kD1OAZQ9ZC+nPR2htz2tDKs9NfmgPbn0qj3z+rE9pPCtPUAHqj2vXsM9oGKoPWGIqD0GeJ89G9OdPYONnD0/uaQ9OrSsPVEywT04L6k9CoeoPVlSqz1jMqA9yueePVBbpj0/yK49RbXAPRg9vD2DnbM9OpSlPXmWqT2i8aw9LjOzPb8RtD3s8rc9bTmvPSnimj1pIZc9bQepPdS/oj2tM6I9fTm1Pd5txj3smr49lEq3PetLtT1dG6s9mYKdPQQPpz3dQp49MPRxPXVjYD3zUXo9Yb2TPemvlD1RGpU9yJObPW7+sz0zkqo9txyQPWHCiD3PzYk9OkF7PWzMgT1WDII98niBPbbqij15dI49dTWZPdRGpD0vyaQ9MK6XPex1iT38wI09tTJ+PV1JZj0mj3M9D7+CPR67gz3Rkos9W0yZPernlD3dCI09OwuRPU/lmj1xOZ09SnCaPcqtmj37QJI9heONPZGxhj03J4k9elOSPUtjkD13mYw9yYSJPY6fhz1F8YE9dZWKPTzxjD059os9IcyHPYdthj0fmZA92aqWPWQNkD2ko409W7yAPWZ1ez1yeXY9IrV7PZ6eiz3NyY89s2yFPVe0dD07oHI9zA5nPUtEdj3LeYc9D06KPblwkT0UKIs9t4OJPXLngD2b+4M9HYSSPW1jmD1qU5k99bSLPRzsfz0SLmc9ujhfPSSVSz3NJ1M98o9tPV8cjz0Ww4w9bm2GPb76jD3x/Zg9jeyNPXE0WD1dI1M9pftdPQnoXj3YFVg9K5NPPawxWD08ZWU9XNBiPf7uRD1hJjQ9cD0/PdrTRT3171E9k9ZRPaWjWT0kS1k91rRZPbtfXz160G09OiNgPdOrZD0nNGw9Xo1ZPRlgWT3xrUc9LlY+PZ5aKD2NkyQ98m8tPTuxPT2q3D09mtA9PaJhSj3pI109EfZePQOjTj1+jkk9fJVDPa33Oj2UCkc9wBwyPVfwJD18zyU928MqPZZDHz1M2BY9f7AiPVoNJz2bbgQ9NNe6PANOqTwlgsQ83vy9PLV3rzztes08JfjAPAzqrDzPk6c89tqzPBbgtTwq1rM8MlOsPGXbtTySNK08yrelPDK6rjxGy7g8AxixPK9jwTxmmec81TfdPF3B5jzYdcw8Rxm6PFAGuDzP0a48Hgi4PKYQIz3PgIk9pFyCPZvp7D2mDTA+eIAwPvvaJD6e1iI+W5EpPr+uKT6eLSY+9hIvPk1jMD5FFDo+xZ02PvFtJT4QAzc+Wx4zPlUJMz6O8jw+47snPlG/Ij4ExzE+Uv0qPtQjLT45Cyk+aYMsPuPnLD7nORs+ILcdPo5oLD41hys+v6UzPtcaTz6ePTA+TrgZPj36DT6+LDE+XxU7PoPDQT7B3jc+7DA/Prc+fj6pznQ+GbVXPkgANj5HLy8+VlUpPt9AMj66Khg+rNEdPiFgKj5N+TM+2AQ2PtDFKz5gAhU+iTWwPdYOlj0ffx0+EggjPhBcJj4D50E+bdo8PvD0Jz6YFzE+U0A5PnUPKT61QDI+8N4tPgttKz7lKys+D1UvPpNCOj5tCzY+GukwPvn7Tj4mu4o+PIZ5Pn++ND5f3zY+URd7Pid4cz55Zio+7CM0PkeeND7zuyo+QsMsPqtYOz5CNEY+5II2PleeMj5CAiY+SMMkPg3aNj7jpjc+0tg5PoDqID4e1Ro+fLxCPl63WD6JomY+lJlLPsyoOj6+Rjg+/2o0Po38Qj6gxU0+WP83PtgpLD7n3C0+WKk7Pg3kPj6H+C4+XIMrPr+Qcj49tIk+vdQdPka5ND5nMz4+ZWRNPraURj5t52U+C1pRPtPhUz7JkWY+Ar8/Pu/YSj7kW1Q+DEIdPumXID77PDs+Q6UcPuVWNj6c+jw+FiQ7PtRkOj6ibjs+sIEiPhHRST7jt2s+a85XPo+EJj4XpyA+taQsPoeMYT4kYTA+D006PuHURz6T/UI+B1REPnuNKT4oiy0+h6otPnqeMz5gCUQ+raBHPoWuLz79ZyU+HhcdPvYqCz6zXR8+F2YoPmGRQz7uzDA+eqI2PuG6UT4dbTQ+smMWPnUmKj6TMnQ+0lI6PtjqHz6CRR4+wccKPkX4CD6A8zE+CMZEPgsQNz4u4CU+E20FPhFQBD6wVhI+MtUZPk2BKD6wkig+gOdFPqwHKj53myQ+iGEKPsKjBj4DBBQ+AvAgPhyCMz5dOx0++zEMPpI+Ej7ARjY+yP5YPvCyQj4qqBc+1qogPpDtDj4gUQo+7JcZPrtzJD5i1iM+rUUfPu1HJj6M4jw+uVVRPupQdD4vsk0+opRJPgIxQD7cU1I+xChDPtsdLz5DBzU+DoZDPottQz5zmUY+ZSJPPlJzWD4aQy8+8vYYPnj4Kj5kxBs+oexNPbLKQj1p7DY9tlotPRSwJT0Aczs91r5ePf5Wdz0QCXM9k4tLPTn4RD3vq0M9zW5iPQIUWj2rGT49croiPT1GJz20MT095OJRPdEESD0MskQ9VUdLPa96UD34lVA9bZ1GPVG8ST3TSXY9X+lnPbVXSj13J089od9mPaMmhD34xYE98Sp0PfieYT0b3m49eO+XPY34kz1HT309XJ6HPUZXeD1i2Vo9UYo8Pbm8Tz1QH5A90cSsPcFl0T30fM892cimPS+Gij2swIw9tjKfPRwppj0CUqw92aC3Pft5qD2Yu6M9abGdPWlMmj2r46E9ws+zPbGVrz0PQrI9VW+yPafqrz0Gsqo9OPqVPT8mkD2gCJg9jm2rPfeWrz1H3Z49VWuaPQRwmz3SbIo9VOmEPQojhz0BHYQ9VH1vPSa9az1vTHM9P+eCPYDqiD2UhYM9Kd1qPdQ4fD34IIY9WB2OPX8jgT3s7YU97Vh5PT1IgD32dXU9AdB4Pbn6hT0ehJs9XmeWPX30dz0ocXc9ZUiBPWlzmD0zUp49GFiRPXM4jD1/hog9ivmLPZXAjz3PwYw9xTOaPYYdnz0X/4s92qSMPfDiez3+LXU9fPWEPQibhj0SLZI9T2mTPYeRiT2iuIk97RiIPcIkcT1OamM9ywF8Pd7Aoz3TXKo9q8eRPa5llj0hb6I9Qy2FPWeyZT0BB389CTl0PUvRez0uaHM9FU+BPU7jiT3gAHc9LO9dPasMYz3tUGE9YFRbPSAsWD0//Gw98/RnPTDybz23DmA92bs/PVNAPz3Tz1A9zFdOPRsiTz37FFs9znVdPXnVbT22SGQ93lhXPYYAbz2xsHo9NeBePQ9fXT18um0962dvPXTseT170n09r/mLPazXkT35kXg97uJ0PT0Cdz2NkWg9nlR1Pau8dT3hpm897vd7PY1haz0fTWQ9V3Z4PVzAfz0I3nw9t/RvPQwEdD3fm4g9FMSHPRsxgT2RK4U9yGuQPZdYkz3uWYw9Jq+NPUnCgz1b9YU9sCmCPVQBgj2ZYI09u9yKPcr8hT3dyoc9twSQPQp5kj1W8KA9HcqTPTj9kz0sXYQ94oyBPW26kT3mI5k9bVSPPfg1ij3Bz6Q9cSu0PfaYqD24+Jo9hQWPPRQpnj2nmaE90gWkPSwVrz2dzKg9eZWbPdnmmj2lrKA9QxCcPbL9lj1Vfpk9UKSWPcBfjz2KhpQ9MAuQPaZ/mj2DIaU9uzGdPSKSnT34HZo9SkufPRqMnz0KtZs954yiPYcjmj1kK549v++ZPVIznD1JCak9Qy2sPesDoz2QjqA9zUKgPaphnj2lBZ49RQekPfl9pT3CuK49wOymPdJUtj27WrI9jN60PSDKsz0CsrI9TKWtPaOBmz1+LZ49MUmqPd6coj3CeqI9/gexPSogvz0Fr8A9utK5PfbEsj1OJ7E9/H60PZWVvD3mrq09xsuuPVO9wj1x2cM9oNOpPd9Huj1DVKo9+rSlPWT8oj0WqKc9e6/JPRbeyT0hu7s9wh+wPaC2pj3Q+ZU9QAiVPURIkj2YMIU9b/OEPf81gD2T7pI9lleIPdXCgj0PzIk9KuKPPW6Bnj0+9Zc91iGTPXEBiT0LyHo9Cdh0PcUfgD1YQoU9/QKPPaysjj3WbZg9SemZPb5qkj1sbpE9DpSRPfhykD0SfpI9Htd9PUarYj2t8G89svV4PZ0Efj1ccI4939SaPVbWmT1eHKI9Gc2qPebqnT28/4w9HlaSPe10jz1W9Zo9+6KgPbcNkj2OCI09BuOGPczRhT1NOIw9zKmJPV4Aij360oY9FPCTPQ/toz0yJZ09FM+QPTuQjj2b3J49LByZPS7ZkT2HcoY9iPWEPaalhj31GoU9ZFl1PW5wdD1ap3g9eJltPQ77aD1upmM9kqR8Pd/ohz3bC5I9NTiWPcS/kz0DTJA9b5mLPRmKiT1Sa5w9ISmfPaQOoT2SFJ09Y7iHPYVrYj2vy049BxdVPYnOSz0+Q2Q9lPZ9PRE5jD0mz5E9iGKDPVoEez2OrX49A2CCPQlSgT3TeGg9NAxfPa7WTz3GQVY9yQZrPcVlbD3QPlg9i+9APVA4ND3QMTc95+Y/PaItTz3oCVI9ueBkPcSVaD1eRWM9gD9hPXt+XD2CyHE9gitsPefzZD2ly2I9BIZgPeDkVz1N2089p80zPaPWJT3d3DA9Gr4pPfIIID04cS49hihLPVqrUT24EEY9M0tKPaHgOj2SFi09wn0vPdSTMT1kQig9btoaPWb/Ej1o2QA9Ok/cPGf40DyVYMU84ajVPCYLzzwTbMA8/ODAPAkduzz0acQ8wV3CPDj8sjw5X8k8ngfFPPeVsTxB9bE8NdyxPDwBujwuYNE8OSvRPAIYxzy37rQ8vEy+PEahvzzkgME89NW6PK/22jzZ/vU8jkflPD726TwtIt08+1DGPD+Lwzyhc688LbSmPMDe4zxW1TM9/8AtPYnneD2qMtg9QLhEPpcuRD5twi0+gpQxPirPOj69Xzg+np4qPuMUKT6FBz0+VkY/Pm7NOD43njo+ZbEtPgszKz7lays+2WMhPieALT7EtSk+7y0mPhUVMj6J2jM+Oa8sPo6xHT7SOhw+zb0pPsxJIT5BdR8+5wIlPk2aKD7F3yQ+6TkqPsJvHT4faiw+IblKPsIsVj5X1Cs+SqQ1PprWXz41pIs++IqKPsn0PD412Bw++dQePh/iGT5egik+3Us1Pn+sLD7fCjY+11QgPv37ID6lmyY+Re4LPoz5GT7kvCw+5pg1PnH/ND5p3T0+GQE4PisQJD4hzBU+yqMqPk48Kz5uwzw+UEM5PvYELT7Z1Sg+cGgpPr2NLz5+sys+UtQqPgxNOD7SUGA+52JBPiYRLD7/pUA+goVsPm1WXj5R3D0+j4EvPrleLD5rySc+TaYxPsJ2Pj53xTo+czwkPnRMKj7jwDA+MmMvPjDjLz42WzA+CSopPuguJz74nh8+s1lHPkxTWz6joU4+Z24+Pm7yNT6nJkE+hHlDProRQj5nJTs+y0VHPqlUUj6t60Q+sC5IPkJQPD7Lxy0+axsiPjg/kj4Dnsw+/rVCPo6aQj5BtEg+j7VcPsZBYT7udDM+tLgkPo5wIz442TE+CKgrPuZZXD45j0k+yV4bPg15HT5pxxE+3xEUPmDDNj52xk4+gMdaPvnvXD5hJ1I+SzcpPsgCLj4X61M+epVcPmJ0QT5LwSw+VJ0iPrhCMT5aSTc+mtI+Pg2ETT42kGU+q6gzPiY8KT6r7zw+p85SPpv0Rz7SUzs+r2QsPoDqJD4yixs+NqMQPlnAED5MKCM+T0AePoALQT7EC0o+PZtNPj8YRz4qfxo+6c0SPpTyUD6UhWE+IMIjPpjIGD5iKxo+mdgVPg6MDj5kVkA+en9IPvgSHz7McRk+Nq0SPtJyCz7jWxQ+weomPgBAPT7PFjk+eB0sPtELJz7D7iE+5MYaPpt6GT58nyY+ooUQPh/bED7i+UI+9jhePqevYz6BB2g+3wlCPpU76D2aFEY+v+tSPiF3GT5qHjE+y8cxPpTrNT5hjx4+isAfPmFvLT4urFk+TjpuPnwlXj4ZVDY+ojghPl7CKz7QEzQ+aF8xPsJnOz5L2UA+OJw4Pt4/PT7pZT0+zPArPuZaPT4Z5zM+VCQzPmCtNT6E9C0+C6czPU/DJz01Ayo9O1o3PaouVT2ba089Dg5fPbfMZT05Dks9xp9APe7Gaj3/6GE9sh9bPU9vOz2mEzQ9xbYgPfksIj02mzs9fi8vPW4uKT1a+ic97IIqPQ2RMj2r4C09f+BEPVOdXj1ALlg9dWVBPY2uJj0mvEw9aA5pPRYIbD0MXog9QEGnPenOqT2ZKZA9zaGXPUowhz1B+Xw9mvhoPXrEjz3Qh5k9aP59PamTXT2GmIE91EWoPV4z0D3yp649IG2CPUWMjT1QlZA9Yq6GPbuBkj078ZM9O3mUPV+YmT1+Vao9hbm5PS5/uj0iNrs9IPuvPbTQoD0cupQ9TNqNPdy+lT0lVqI9IYiiPXqlqz0XNbE9js6iPbMOmz3e2os9+ZqDPYY+kj1TE6o9SDyYPR0Gjj1oqoc9Og2KPSoAhT02UH49j/h3PaJ/aj314Xg9kWuOPbdsiz0oi4M92Ll9PWLPcz2+NGw9NJx6PVSiiD3xP5c98hObPWD3mj2Fg409telqPSRpez3JGYw96yaJPb+Rhj0+1os9PyuaPZinoD1hAY49k9uIPX51hz33Ho49kOqLPcloeD3ThG09jhOTPUqpmD3y5Ic9Lu+CPdBOoj30FbQ9m4ijPYNghz2VVIE9voJ/PfaZlj3UvJs9nDSKPXOCdj0ufoM9LNCHPUsXfz3tc4Q994+APT3Agz1aVos9l7JxPRhkWD2zsVw9pmRzPVq+gT1Zw209Qe9nPas4bD3P2HM9Hxl7PZtocz2p/W094lRWPZ46Sj1+akA9nv5QPRJlYT0AkmU95TRWPWrOTz1cQ1o9O7BlPYEDbD30J2Y9C6h6PVK9eD19N1s94d5qPQ/keD3stHE9eWODPdmfej3bAnE9jmxkPbbZaj0sAGU9fRxpPb0/dD1lk2o9oldyPamxcj35Tlw94fRVPTeQVj1171U9EEFnPTLdhT3MSoE9n1CCPQK9fD28HoM9NPWEPTWsgj1DA489yvCPPch6hD3nF4U9pQuKPWpRhz1EI409VEuKPWP+gz28z4g9W4Z8Pc4Rij3mdJA9QNeQPVybkj0SeJQ9/yaZPay1lT2H0Js9TVqePSpBij3rh4Q9vIKMPdSkjD2RMpM95TeVPUEdmz2hBZk9OFaOPVE3jT0r+ZY9iZ2dPR80pz2Lo509fwShPRDkrD2SAKE9rO6hPZXyoj24+5U9qfiYPWGimz1qb5w9vuyvPdhRsT2BIq097AqpPbmYlz1szJU9HGahPQGumz3LIJk9mU2aPWVrqT0MQqE945yfPaiUqT2gKK89lF64Pd4Zrj2CYas9xpOmPXexoz1Xpa49UWC4PW2MsT2DVqE9CkuePeKToz1ZqLU9+/O0PcCWpT3kRqA9+52ePVHboz1gYqU92AehPcJRpT3TDqs9KG28PUGkuT3jOLc9l2PAPUQ2rT08Nqs9ZpSqPYuNqz3zsqk93yXFPUwp0T2vWtA9OarBPWXXqj0OgKo96s64PZ0juD09Y7k97TnHPYI0sT3rip49yEyXPVFFiz3uLoI9PcyCPUTJhT3LG5E9iSiQPU60gj1G7ns9Q4yBPR/Ihj1HnI49zh6bPUd/pD2BSJw9qHWIPVCdgj24zH89c4Z5PZ3fgD0wd5Y9jNKSPevciD2ZLYg923COPYj+jj3boo89EgaQPekmiz0g04M9gjJwPfxmcz0mH389xaRzPeHieT09ZY89DF6QPWvynT0J3Zs9P2SiPa2umD0S8IU9beaJPW+7iD1MoYo93QqNPW9cgj0XgZA9vKWbPekllj2AHJ49ZXaUPTcNiT3TE4g9KrKGPRKhhT2Qo4Y9BreCPUXqhj3kLJU9qiCXPXvckD254Zk96niePSJClD3C14o9SCCGPZU+gz2KoHU9z7pzPRRsej2yZHI9PWuFPRXdiD13DJQ9ZW+IPaJsfD1Nioc91KWOPSF9kz2cbZc9uNmiPcs2pT1Rh4k93tBmPYm4UD3tSls9U+98PQ6KhT27joY967ODPVJyhT3YXHk9UWZwPUs2gD3FfX89fH2GPTGcez2JnF49T8tEPRnrRz2oDk09INFWPataXT2W/WE9bhpIPZ+OMD3tQkI9sThBPTQKRD1OMVg9ulpfPby2TT3EcUo9UipRPRXNUj2TElw9g+NqPW8jaD2H2og9cAmMPRsoeT2LpU89qmI0PUYtLz31Dzs9IKsrPbglKD0MljM9hjg6PVO3Rz3tojg9j8gqPTISHj3m5hg9COQpPZUQOz2C1z09QM0PPXXy0TyRO7w8HFa6PJlatDzR2cc8L0nQPNgOwjz6Vrg8Fd7NPLo1yzxfXcA8B92zPE+5sTwoarw86d66POEovjwNQMo83hC7PI6DuTwXtLo8CjTDPD0n1DxNoLs86tK1PMNjvjyzhco8VMXHPCDh2DyZhN48xTfOPEoDyjwmc988uEXxPG7p1zwwqtQ8+N/FPC96ujwXgeQ8WMP6PMDWGj2ea6s9qZaBPomgdT6UsTA+LBE4PuN3Lz4p2yM+vCYjPlOuXT41b20+RyM6PmD0PD6VyzM+RKcrPoz+Jz6omy8+W/Y0PoY1JD7KwR4+aFQxPvo4MD6bxjc+aHQuPrIlGz7sACQ+vVQkPrGtHj6zpiU+epAhPr0GJj5Hwx8+Bi8xPmAOIz5Wuk0+SMJPPjpdLT7qaio+4qQ0Pvlwkj6VmJ4+QPpGPjVbNT4nvh8+z88iPtUrJz7I2TU+QExJPn7BUD7qxDw+MdkjPjoTHz5tGis+oVYiPoXkMT6mpz4+S583Pk5LPj5YOko+l0RQPq4/QD7k7hM+jUApPm40Zz6QOXI+tAw0PghMMT5Ibzg+WQIrPsCSMz5jZDc+Yv47PlisMT6suk4+cctwPq8ddT6gMGo+zXtFPlThVT63U0c+91A/PtZnOD4WFDw+sVM+Pun8Oj7MTzI+uyA+PhnjPz42/Ck+D2UqPpx5Ij5PoyQ+aLslPtfdIj7ZBkQ+QkRWPpIRQz784Cw+39wsPhmLNz7mO0Y+DwVVPvzkMD7kaUQ+ZsQlPl7/ID7mWko++rhFPjQeLD67cis+jpUkPvksRT5+m74+sWdlPuyGUT7cLVc+C+qRPuS22D6QVOI+y/yHPvowLT73gi8+MHE5Plrqaz6GTD0+iAckPjy9KD5hBSA+T4EiPh12KD6AC0M+kHhTPrRJVj75QUU+EXeMPtyRbj7Uez4+EA8tPhgyPj5/t1c+nFkpPsBoKD5FKjE+6DYqPhXQQT72z2Y+poZJPhTpNz4ARkY+dJI1Pni2Jj4ZSjg+TGorPhZvGT7WKBs+Tp4hPqjuHD6jXSM+D2ErPq7SOD495Ec+fmxCPjWMPz6lnCI+w5AZPsnLHD7bsjs+sBwlPjSVFz7jdxQ+GCUPPqkHDz5FxSE+HrUvPj64Jj4LrR8+tBYcPszrGD64pCM+XucpPtTZQj6T0S0+mHkZPngcIz6K4yY+DrgqPs22KD7HxzY+aSQlPvadGz72cE0+bkBAPoMbHj5DLxI+7yj1PZa0FT5OUYc+lEA6PoBmBz63Rhg+rZkcPjGTJz7sNCc+voMrPkvXQj7yQGA+/k5iPtgLQD6qvzU+8WQjPhMNNj7CEU0+WZo5Pt2zMz4uKzE+0pk9PrpqTD7OhVI+cVQ8Phv2Tz67Rzs+mcNePv1VpD5AxK8+jS0zPZ14Pj1slDg9T5M0PWmLWD1e4lM9rctZPVvjXD3kk1c9wUFJPXq1XT3bYFg9vZVUPUyrPj2wTDU95scyPbElPT24R0098AU9PZM+Iz05dBY9VYgXPQZlJT0vZDM9T8FJPRveZD3ZRls9peYvPYRPEj0/dC89XUpZPZMDgD3NXaE9JOCmPRkAsz07bKg9V8iQPcaqjz0uooI9t9eHPWBarD06xKo9Pe2YPZmjjj3seY89ebWWPUGOjz327oQ9VGZ3PWdgcz2A5ok9216OPQ/OkD1uFos9AT+MPZaKlT3kE8c9mp3lPS6btz0CkK09CHGlPea7sD306ac9Uy2VPYjylz1AqZ09ZEGbPdeVnD0gJpg9M9iSPVLgkT3nh5E9IJeKPbLhiD0s2ok9PleCPaTCYT1L0Gs9yo9zPZX1bD3qe4s94G+JPbNsfT3t+X89vuWFPe+Afj2i6YA9vDiCPTb0hj1BiIc9j66UPeT2mD15SZQ9ULeCPRErcj1nHH0980hmPYorej3JB389xCGPPVuCoj3SqKw9HS2WPbl6mT0P0Zk9UTaLPW4ZiD1x4YM9azCJPUCOhz0c35Y9XMKrPdRApj0IAZc9riqWPRNIqD3tuZ89MAGBPXT6dT3IS3E9YTN/Pec6cT27tGg9kQJ8PcVShj27yJg9GaGIPeU/dj2MgXo9BwKJPVrFgT0+8Xc9fj9iPe7tWj27CG8987xuPZXAez3glYA9amuHPQ+6lD1iw4c9Bk11PfysaD3t71s9gxBWPaddYD3ROWQ9YxhhPdinaT0x0H092bmBPYAkdD1nm209joRuPXeFdj2I1Gw9BxpyPW9fWz0oWV898GhiPSCcYD1CPmI9QSdgPSJ5az1Y0oU9SLWCPaMIjT1gmYE95Uh/PfQkdj0kDng9JEh0PRnkZT0J5ls9fPxhPVkjbT0S/n09XJh9Pajpgz2fDYk9Mh+FPcUglD18foc9YfVxPVUzgj0K0ok9OmmJPRHviz34F5Y9ZgubPd2clj0+ipk9BJqcPXdLmj3bmZk93xmMPXt9iT10Fo89lXCNPfQthz1c14o9DeqKPUogkj2l5509CmOhPaQqnT3usJQ9UW6bPSeAoj1uY5g9KYKXPeROhj36HIU9VHWRPaJRnT1sV6g9SiCmPbsIoT1P2qg9aWGqPYz8lz15+6Q9U/ywPVcPrz22KJ89irOiPWoeoz3HMbM9zGG+Pflyoj0JmJg9Wt2YPQYqnT3TNp8971ScPWbbnj0viZ49QFemPU+ptT28qqc9TUKePYoRnj0hGao9mIuiPfSLoT1zHrE9dM6pPTLIqT2LUKg9uT+wPYCLrD1vDaA99e2sPVXVqz2Yy6s9PoqxPds6pz0ypJs9X1iiPSl8oD3uoqw9TT25PR6QvD0szLA9nxu5PSHdyT1+AL49kRyxPf5Uqj1kaKI9fMG5PfmctT0LTK89DLG6Pa9Luz03yLA9t96vPdDAsD3qZqw9HAG/PWXetT0RUKo97tKePcjNnD03Rpg9MCqhPRqPnD03koQ9tIaCPbjthT24wIQ9k4N8Pb1KcD0xrYA92/iMPebqkD3pNaY9xEKhPThOjD0MfZA9whaMPRptgD1Rnok99lmJPeJ8hD1D3Yc9lz6OPYv4hT0Koow9VP6PPbYtiT1WvIA9OVJyPaiyeD3Zy409mZeMPVWMiD3Uj4g92fiEPUZCiT0Gy4g9YWt/Pbm6gz0M44o9SI6HPaLtfj2wbIQ9SkKDPWgwjT2sYo49ou2OPWpijD2GZZ09vrujPeC5pD2wYJ89PByFPdVCfz2RS4M9B36FPfhFjj3ijZU9pW6RPRtijD3LtKQ9+uipPckqpD1QKKE9A9yfPcQlmD0/7Yw9B1dzPXALcD36i2k9Q9VmPdgjeT1Hy4I9ylqKPX43nj1h35g9VrClPX+Kmz3mm4s9tI6LPQ4rmz3ufak9VoGWPbplhz2uiHY9sZNuPV59ZT0nj249BkWKPULNiD0wIoI9OhdaPRSoWj0Wl0k9qihKPa0FXD0ILW49UmRhPcQpQj1zlT89B/VGPWhDTD0lFkQ9pAU+PUKnSj01L0g9XHs0PeuROz1Q1UM9z+M/Pa1dXz0sw3w9NGVqPaaeTj3++Ek9WRZePflxdz1Y/YE9+1t1PRNLgj3mdIw9JwOBPbn1ST3TRzU9q1guPSA0Mj1WJyo9hVkiPTiDNj1dhUg9TPY/PbevSz2ETj09U/EsPYHkKz1saCQ9za0TPcI/BD38vAA9c5zIPIeInDwnQbQ8lTauPLjnwDx+lsA88IuwPN05vDxRCbQ8wLurPCOduzy4Ccg8qHzFPOhVvTx9Pqw8wO+sPB0TzjzvJtc8IX69PKEGvDwHU8Y8VsS7PB0LzzzMLsk8nXGxPKp6tjxL/tI8qsTBPDikrTw+Dbc8NRTFPD/dxjzpW9Q8sNPNPD7czjzAo8I8KrG7PMjpvDzw9sE8CvcRPbofLz2+4EM9cVAnPhnncD7p5js+XccyPnj9LT6o1SY+yqouPifSNT7z0zM+e+4jPur+KD7UezE+w/wqPuSDJD7KNyw+vIYmPtKNIT5p8h4+ErUsPmAeLz7pRC4+slotPn37GD5bNxw+bDMmPgGvIT7voCA+RsMcPt/QJj69ZSY+PNwpPlFeNT4yQzM+mdQiPggVGD7mkCo+tksrPq1Vgz6gqJc+boZGPt6bFT6cZiY+pv8nPq8FIT79/TE+UgNTPvnjTz6xPjg+BKkgPiPqJT5kwSc+2eMxPlhPOz7eFT4+fogsPlLcRT5rSYk+R3CYPvfHiD6r9mo+qLyKPtUcYD5g2jk+MKgpPv+BQD6c1D0+JfJQPhn6Tj4+/CI+jRcyPmDfPD4xwGo+vleEPkQccT4SLHg+9j1bPoRWZz4cEk0+LqNDPsWyQj5S+DE+T9gsPjL0Oj7y/yg+Js47Pv90KT4f+ik+H0ohPrS/ID4xNyY+9Z4oPvY4Sz5Cgmg+j31OPjH+Lz7OiSY++lspPg73Rj70HUY+TXA/Pv5RLj7pYzg+qkkfPgtuGT6dnTk+QGBOPtAoMD4ZVTM+H7UyPsYjKj6mhms+ywdzPo9SWz78/W0+lyd5PgBvaT4lNn0+Ni9BPk0bMD7daC8+vpswPtcwOz7YuTU+Ft4sPhYDKz5eAyk+xvopPpz8MT7ifSo+6zEnPoM1KT5vYk8+yNuMPoXLlT4SZyI+WWkgPi6IRD7RQoA+FdI7PqlORD4eJz0+UgEsPhDTJT7F4E0+pmVOPubjbT5nbZk+rgBHPo2iJT7Q3xw+Un4hPufbJD76vy8+DRI7PivHSj7cMEw+fz8pPmqUTz5u11E+9Ks8PjvkJT7eyCo+G7QgPqn1KD7CCUg+aM0tPoHFEj6sshw+XY0kPkXaKj6l0FM+xUwtPvTzFz5gZzw+meMvPjKcJj7c/hs+uxUjPuV2JD5t8Bw+BO0jPmQJJz5BsCY+pzsmPpp0KD5TYCk+kIUtPuyUKD7v9RU+88cKPgwDDz5GCRc+PwgRPi1XMD5mfTs+d1cVPh4nHj5mGho+8roWPhi+FT5bwh8+UGcsPl1ATT4kB14+edhxPpp2ST7Ooz4+utZIPj2/Rj4CFz4+Gyw5PhwTRj7wcUE+bG8vPt+YcD7sOnE+L980PpsxEj4/qig+o0NaPqBzgj5cU6E+9Bo3PYsWMD1LEU89M95RPUHmRT0qkVc9nRFuPYMehD06OGs9tABhPaY5hz2W8209dexPPQwTSD3E9VI9BptkPYRTVT2W5EA9sWlNPQt1OD1nKyU9uoMePRXTKz2lfEM9O3I2PYNWPj0l+049dKVbPUmOUz2mFkU9rWFmPUAGcz19/489zD6ePcripD1jPZY9hVKTPTkkmT2bCYA9CPtdPUaYbz1B9JM9O1eaPTnjhD1o53o9reuDPe8Pdj087Gw9xDB4PejZij1U3pQ9kGuRPaUqlT18rpY9s+yYPXcqmj3DXLQ9NmSyPYxQqj1seKc9B9CiPa8CmT3mco09t2aOPenZmz380pc94MCXPaN/oT0SP5E92m2KPZP7lT1GuIw9Pux0PT0AZD2NfmM9nQSBPV6Fdz0GGHA9r4mBPeDUhT2WsYg9/nJ9PRe3bD2TFGM9LLZbPdz/fT1YApg9Gd2PPZmZiD1mrIE9Rrh6PZnrfT2HE3w9IqhiPUiTWj04tmM9S9NqPZd1dz0O7YI9fcOFPZVOhT1c5II9KiyCPcTmhT1NdX495h15PRe5iT0NdZA9jAOaPWRnnD3jxqs9z3SlPcL/kj1hlZQ99fSNPa+Dij0tp4E94eaGPVy8gj1nV4Q9WTt7Pfbifz0G2X091I5oPYOpdz2B9Xc9LrJ5PdwqgT1fpmc9K9dgPQPzYz1tFIA9CqR+PQzehz3j+pw90LihPQVclz18RIU9/9iDPQoDij3E5H89rqN8PUTPbj0IZGc9DT5uPWcXaD0/KWY92Il7PSkFeT1pnWk9ZfBhPRX/Xj3hang9E8l5PShsYT3B3VY96QhaPWkhSz1DSkY93qlIPQudYD2CY2o9KitlPRzhbT3gcXk9FGNzPeOmZj241Gc9omJmPeEkZT3PxWQ9Rh5uPb9JfD3ZXoE9F1iCPQvEgT3tZHM9JOdxPX/dfT2jX4M9iDSKPVl1jj087Is96pKWPS05nj1+Io89pFyDPWUKij1HtJY92piRPVUvhj0KII09XEKPPaIllD03+5E9fXKNPTmWgT0NuoU9/O2EPZFahT2XFIk9W1iOPf6okj1ARJk9SiaXPbUvlj2NZo89vpCVPUeAnD03los93JaOPXeXhz3fsIo9YFedPRfOuD0Zaa8999OgPbUsoD3PQac969CtPfrprT1u06Q9XBGdPWUUpT27LqQ9y8alPcorqz29w6U9WvylPUCfmz1QN5k9zMKcPdeipD3C0J4969ahPVGhrj2TvK89wG+wPU5cqj1DB6A9Ks2kPcMQpT2O1Jw9dA+ZPW4pmz3lRqU9W/SkPWAQnj3gOKg9tWulPSGupj1nCaU9zJ+yPSMIsz172qo9YjOpPYbkoD1SIp092dCmPY27uD2vL7Y9qf+zPc7WvD0/jaw9uuedPeMLrD3qEao94BCiPeGnlT24gZ49BvGoPcIyrD0PPaY9JK6WPTWdmz3ZbaE9WqymPWoitj14/Mk9sgLKPchYwz2psbM9dkilPdZuoT1EJpc9QsuPPW3TiT0s2oU9SQ2HPTgxlz3kmqU96R2ePZH7kT0Rt489PleIPQwsjD0TRYg9As+LPXt9jz2fn5I9i26OPX+Oiz1groo9B5eQPW9Blj1dOZM9jMeMPdxghD1sqoI9V5R7PUINgj1qJ4I9M7V+PULCgD3ktYQ9MjyDPS02fz1KgI49QvuUPf9WjT2QXZQ9SuSTPa+FkD0/4Y49f/OMPYJMkz0/j4w9T2iLPaHNjz33naM9FGuiPbiJoT3uhKc9uemfPYublz0k4Yg9TraBPUGEgD1J74o9Fw2PPcoqmj1hh509uEqgPf/6kD2MEps91OqQPbismD3BOLc97A2xPXEVkD11SH49i9NzPb6iaD1PO2c9jgNxPVKwgT2Vmog99sacPSohuT2dZLc9sbW0PT7CoT302YQ9XQqEPSJogD0BRYU9CE55PYxadD1HpWU9jAtsPcrdaT3DcWg9ERt0PTyFXz0iSHE9+8RdPfvsWj0BLmY9Nv1oPTE7Vz17zUs9rNVLPWUBTj1QcGE9ATFhPQkfUj0vl009tXZDPSkpRT063zs9FKQ0PeuSQT2UUEk9gT5ePRDmbD3WDns9C/dwPWoIYD3iR089GWJbPWn1Yj21RnI9CmJmPdQhSj1OU0s9eBE0PRVVJD1RmyI9NZc5Pa4lND1AciE9sFYjPSpxLz3ExjU9ZzsjPXROFj2tphQ9iFsePenaCj2eBu08EoTMPPo7qjz955w88JKjPBUUrTxCJ7Q80qCrPEfevTwSFKk8uCmjPDuItzzS68U89QzPPBJgyjwOU88856/CPBDfsTw+c7A8hLu2PGywzzyRQ8g88U6vPI0QyDzc3+A8bTfKPOZHyzyNhNI8ASfRPPPHyzzjK9A8+ZDAPBWXqTziw7g8RQPPPBbkvzwlfMI8B5/BPLSuzzzdONQ8gX7JPKSPwDybv7882K8OPYlmVz0NxhQ+66JCPjwXTz7oYDA+x0kfPnlSMj5TSSo+6sMrPhHnLT6w0Tc+xGkxPuKKID47ySo+XDwtPsC4KT4ACC4+iCodPpqpIj6z6yg+048mPledKj405SA+A+gePpt0Hz6t1SU+4JkmPshrKD6cVyU+aDQrPtMZNj4T6jE+/k8sPpgoRz5TXSM+nLUjPiZyQT4tPS8+QfgUPjgTNj75Lx0+lxgdPsHGKj5t2TI+ieAoPuokLj6xCWg+tHhHPs2oLj5tJyk+AuIuPlfKIz5YICI+3dAuPtI3Lj4UKCw+pXU1PvbUVT59Y2U+IWlUPotXXz5dils+qSJTPjxcHz7y2TQ+qMhHPnR/RD46R1M+wZFgPn/YPT55DSM+ZzpUPpsBaj5+ikY+udUuPuF5LT4cejw+2i5CPnA8Sj7e5CE+cl1bPgkcSz7P8BY+r/UaPhIXJT6OjTo+QAk5PoEnLD5A/SU+K8gKPnMzFD5UWTk+PiI8PiZ3YT7JxHU+7c5RPv/ENz4/5jY+La0gPleRPT4GMDQ+Zg0xPsF+PD6S9j4+Tuc0PmkcJD60f0s+dxVHPrA2KT6ugCY+vWoqPksiQj6xjks+Wo05PkeCQz4ssjg+dYgnPlwlJj4+qSQ+C/oyPq4jLD4zxy0+6P4lPiyNJD45KSE+LF4aPocAJD4Vpx4+R4sZPtJsIj4MzCI+ghYqPk7MJD40OVE+W9pkPhh1OD7pJio+G/k6PkdFKj5wwyU+8hMrPhL8MD7HET8+wZA1PvkuIj6wDhY+3AI+PoX3az75R4Y+luwyPvdWIT4XGTU+EoAfPntYGD4TqBg+y5cjPuaPNT6QdkM+P2g0PlC/Pz52V1E+KBM/PpT0LD5TSR4+ygwWPlyTVD4pzlM+VI8kPpTDLD4h9iU+6+8pPoFOND4w/zg+F3ocPnhNJz6BoTQ+LMksPgEiJj6qyiM+4jUePrEmHj4ewSI+KZcdPg6tIT6aqSg+CZIfPjMcIT4H1CE+epQZPrihKz7zIDE+K/UnPsdvKz42GiM+Uhk1PviQNj5ZdyY+s6kkPuUKGj4ilRg+gzgZPuGXHD6EIR0+2U40Pq27PD7O+C8+n7xmPlg2WD5lMTg+oJpNPh1jQj5XzUA+iipGPoEDRz5OXzk+mqZLPrKgTD540Dw+XMlVPrdMYj7ARWk+YpZpPqDgdT7+qIE+f249PVvjRj0Lh0g9mMpDPVX3WT16Yns9pjl1PckOaj3Ms109gw1MPWx1Uz0zaE09QBNJPQCsWT0+KWc9AjtTPW/QRD0Itz896OxPPff1Pz1ccSc9EocjPXODPz1vvE49Gl02PdVfSD0fjFg9hDhkPdh6WD2vRHI9e+x4Pajcaj2IvHA9nuV8PfOiej2HJXk96SWCPQoDgz0anoQ9IdKBPSpnhz0vko49xBuKPZ6thj2f14Q9I8+TPRpijD3onHQ9IV9zPe6hlT1fmKA9bOamPSyBpD0oAJo9mziYPdySnT3t3pg9pr6RPdlEjT3VBqE9kS+dPSt2jD39h4E9P1GEPQNLkD3aQaY9bgCJPTp4dz2AzHs91M6NPfmllz2J3o09/u+VPYNelD32znc9nvB3PRLZbT1CL3o9pXmHPXWHiD2jMGs944JoParVaT1pA389cB+CPfNdkj1UiKk9/I6QPW4dbz35Hm49EHl3PSU8dD3orl497iBRPTiKVD2emHA9Uxp6PanRYz1ks3M9Lzx3PSaweT2+BIM9LJaCPWPWhD0Ad4s9XQOQPQaElT1FPJk9HVusPREXpz0sOZE9pF6PPTfriz2+8JA9n22PPSMIjT3SYJg98kabPeT8jj3vNYA96XJiPYkPZj2xyVw9RXpmPehyez3e14k9TfSRPU2DhT0a4Io9jnd9PXXtcz0wi4c9PC97Pe/YeT0LO4w9/h2PPXvhhj2Af3U9hFl8PVMbhz16iYU9Sd2DPbR2gj1u0oM97U2HPbpYhD1gGII91VSHPYGfdj0yGmc9P+hePR4Hbj2zHHY9uUJpPfuJXT12CVI9T8ZIPRL/Oz0fMWU9bV5qPVceUz1XiFQ9+uZvPfKZdD3rCXg9xnR4PYqOZT2kWl89fmttPe6ufT2sE4Q9L+6DPYeJiz0s2oY9PeuDPSJwhj1NCoY9eFF6PQ0dgT1zQ4c9u6iNPdDshj0/hI09Cn6MPc/xij0DcoM9vLmCPTxFhz2duJk9xwCcPWQLmz36N5k90caNPQD0hT0MVYQ9WKaQPRjxhj2lJIk9f8KHPYKShz1g9IU9LaqSPdxJmj3DOY492BOSPUS2mT0pOJM9ZoGOPf8olz2YuZ09uyuXPe9IkT1p75w9L8SfPa2+nD0DjY89+tKYPVzpmz25jqI9jdGmPSqvpz1mBZs9sauUPTKRmT2MXZ89WEijPZI0pT05k6U9qIqlPbrgqz1BwaQ9khGnPajZqT332qY9a9OqPSKAqT0RaZ89VzWUPYZynD0DV5w9OxWVPYvrkz3AGos9qO+LPXPMmT1ZcaA9xr6dPb4dnT0Ayq49lzuePQ/VlT128Jw9hHeoPWnXsz28fbA9pP6lPfZlpD39+K89Oxe4PZGWpz22hZ89CzOZPRwHoz30VqU9uuCkPdd/qz2p1rI9DMO4PU0lpT2UNZo9bzysPf5fpz1+aKU9Z9ChPefOnj3GGqo9deeyPYGVuD1vFbk9bujBPSAR0j0D4cA9F2mePY3Mkz2DFJg9v/eLPd/NjT0wZIQ9aWKKPSCPkD1cI4U9KUKQPXK7lD2VVqM9MgelPfeqkD0XTI89ntOPPdRnjT1i5ZA9g9qgPaoQpD3oKZg9Tx6MPdoZkT157oc9B09sPXlraD2GhHo9lnh6Pd5jiT3dQZA94oGGPcHTfD0tb4Q9SbaIPf0/hj3rOpM9j1WYPaJymz0fPpY9evCPPWA+iz0DyZE9jxCRPUFmmT1TnpY90cSSPZOEnz0JnaI9xf6RPYg8oT0lY5M9Gc2GPbgBjT13mZA9a3WYPXYYoT0jja49s+atPURWpz1tEak9sHCfPRh4lT23aZA9FwCKPUvziD3/W5U9/9GMPcM3cj0JEm89A050PR0BeT3p8IE9qkSMPahelT2rvKE9hSyjPQ39oT2ioZg9TamLPRTgfD18pIM9fF6FPZNdej0ciGQ9VdFrPX4dfD14OYo9rteHPYTHdj3pvXU9DfV7PWeXdD1SSnE98zR1PfK0hz2ntYo996d9PXYxZz3sUlo9LJ5nPYSAXz2gRWg948ZZPaKhWj0EPmE9ZCpTPQx9Nj0Icyo9nIQxPTzNMj3sBDc9eKBAPXn6Pz0+2Ts9/QdKPVYQYD0sUm09fTNxPUsYgD0T+2I9O/dPPR0+YD0YuGU9Xi1KPcqMNT3P4is96TcqPb2zKz3xXCo9R6suPU1wKz3k4ic9nyoaPWdMEz0ccxs9IVz8PGbLxDzgLcQ8Ua7FPP+pwjwHjK48WWGnPAxdrDzi4KQ8HB+uPL+6yzwgea48gqylPJSstzztf7w8na+4PImYrzwZrLM8SO60PJDetjxUisA8W525PKAEzDxH1uE8YRLHPHw7xzydXOk8Fw3ZPAKIvDwpW7o8BTW/PLsfuzzCZLw8XDy7PG9JzTyWn8s8qDP+PJ+lMT0GxTA9uZ3XPPXguzxTM+A85Cr/PIcTgj3rSrI9XkKgPcTcBj5JZjw+bu9QPgUtKD5/Uhw+bocaPkpgLD7+CyU+WwMpPgr+Nj6zbyU+sfktPsllIz7RNzQ+5a8uPgqzIz6YhR4+A0oZPqeEKT4DPyw+BjYhPtNVHj5DzCM+H+QbPkrtGD6XAA8+ouMXPndLIz5Z2yI+AOYfPoSWSD7oHkQ+JMoRPitRIz6MjzQ+TEM5PktCPT4qlhA+0i8tPgpKMj5NERg+UeUhPs+mKT6rxyA+MtgLPoCTXz63uHc+O0gtPu3FET7P9SU++DQbPhAaGT6BXSg+xZYxPhdgMz6MjS0+sBU8PuyJRT4DnTA+1skoPqHkMz4yiTM+N483PiWGIj4LdSM+u0IzPsZhRj6GHVA+i/o5Pgn9Oz5ZoVw+DhBpPpLEMD6wJ0g+TbhHPlRtUz74kj8+GlMjPi0FOj5cryA+hPg0Pkz6ND6F+Q8+zQEjPhNsKD7TvzA+MLI5Pkk3ND4WHTI+H1gmPu0fQD4Zm0s++ZRaPuNnkz6WaV8+ouc4PmcNQj63Yz4+bWgdPndAJj4gOyU+y0YlPhFcOz7iazw+u1I3PmekIz41CjI+uTg7Pk3CKT7ITCg+PyAyPv7GND7TckU+8M1EPmMSTz5b9yY+eV4hPqqWKD4Xjy8+OWQ8PnDOIz6KXSw+1JglPhKvLz621TE+bXwoPt0SHz5q2SY+lm40Pu/iKT7QKCw+MHNHPiqDMz4Pwz8+1a1BPtXMKj5N2zQ+kCwvPqjVHT7+byU+3wQsPh0tKj62H0A+k/UxPnd5Fj5gbAU+fnEHPqnmIz77LBw+tDkpPudrMj7AShY+apAdPhqxMT4p6y8+L/wmPluUHz7AIx8+uLQrPhkQND68lkE+hUE7Pr1oKD6NdiA+kdwqPj0oLz4fFyo++ZMYPuh8Mz5tITk+NZ4vPgrxJT6tzR8+3Q0nPrBsLD7goR4+IXIgPixFGz6lbAw+KJYOPr0EHD6kfBo+ogwQPvMiJT4RYBk++dIRPqyvFT6tlx4+hPghPrLaNj5S2jg+tMMqPmIqPD7Uzzs+W+IuPua+Oj63qEM+o28zPijHGj6G0yI+SB8pPqq3JD7HQig+DhIkPuIEHj4CY0Q+C/VrPg0jUD4u0TQ+oehCPtB7SD5fhFM+ckNRPtSeVD7r6UA+4KssPlk5dj5AJoQ+8DR/Po6+gT7GbGo+tiFIPozLJz4adB0+7G84PQMcQz2kqE09251MPWzVYz2fAWQ9vqY9PdOkQz0u1mM9izRtPS8GYz0SGWs9iVtqPVk1eD3vPXk9jCt1PeQOaD03TFQ9codHPc9zPD0hfUU9BEg2PaXhJj0FexI93Z8VPS9ePT1BrlA9GV5LPUYyTD0xxlk9t49dPe3NRz3230g9TudhPTMBdj0POYY9P8yYPeifnj0yMZg9qr2XPQBuiz3P+ZE9kQidPeNTmD2Ih4w96MmDPbqPhD2rwoc9uy2TPZVUlj24m5c9rb6bPSddnj3y/ZY9TdyhPV8Bnz07DIs9H3iWPSSgoD28U6k9b/ClPc9ylz3q0449aDmRPSIYkD0t8YU9QUJ4Pc1Uej1Aw4E9nyaPPaUjlT0BPJU9Bk2NPTNKjT2FSXw9rMZ3PbuObj1WQ189mAdiPfzgaj3bsXk9naCCPVxAiT3IbJw96LqUPUGqiT3nEHc99ZFpPYjHaT1x2HA9AZZzPXQGgz1UbIE9RE+FPeOehT3GQms942lePQ5EZT0YFng9AKGAPTMoiT00u5g9bV6gPfrulj3xNIg9jKKAPaIhjz2J0Z09dgahPUvsoD0IrJI9t3SNPY5AkD2yOY09MoSOPXXUkD3z1Y49IMSJPQT/kj1W9HY9Fo5gPWW6az1gjWM9yFtZPbCTej1hbYo9v6eFPfJQfT1bwoM9MdeCPSt9eD2AAYA9ntSFPWZ4hD18wnk96TN3PVSwZz3/2nI9qxeOPRH+iz0Mko09zPCFPcwliT1kMYw9hqiJPTafiT19j3c9spNkPc+1ZT3MCGY9lj1kPbXsbj1IMHE9DMVyPe+9gD2A4Xw9+aB5PdOvej2RR3U9PSlwPWwAYz1jt109M2pLPdIpSj0AaFo9Sl1gPfXYYD1fNog9WvSJPYXziT3/rYU9nad/Pd57gz1zjYA91CaBPfaxfz3JwoA9qp94PU4JiD3/I4s9WSCOPbDagT3kiIs9VVyEPanChT1eZIo93A2TPYfakD3yE4g99bOQPQOxjj3kNJA9+3SYPTlOmj1Wt5k9xCGXPVX0pD0x1ZY9nICLPXiQjj3mLYk90/6TPZk8lT2UFoc9wVCTPe7IjD34uZY9MAyZPQxHmz1BXqE9HbSmPd5inz2ixZ49KROYPcTbkj0uqZs9E1OzPYesqT0Ba6E9PH6bPTauoD1SDaM9lxKqPeA1oz2KSK89Kp6oPcBOqj3A1Kc91EOjPeW3qT1j5qI9JX+fPdsZrD2c+q09WVybPYqKnD0ZV6U9toeaPay0mD0zJJ09fDeaPeffoD2Ks549BSqePe65lT3Tt5c94+aePRQUpT2o0549ybKdPQ+Zqz3Ykrs97KS7PbV9rz2BgqA9uEqZPcU2qj0kHaY9xpykPW+loT3ZoZQ91UCcPcsprz2PqLY94m6sPeN5pj071po9cjuqPQLinz0vuZc9khibPSynpj3Laa89OUqnPSZguD2nXL8986+1PcMfwz1d29Y9o3XWPRfwtT3W6J89jRyNPacThz2rKIM9FWmCPVfWiz3KJ5A95wiJPXhliD1HFZM9PxKgPRFApD1Pk5c9DJe0PeJbvz0Odqc9XSSbPcKwlT1/85c9vZaNPbgNiT1olIQ9vbJ7PV7Paz28ZXM9eZd9PSi7hz0yT5E9IveOPbRTiD1R+nY9YS9rPe6DfT0Dxos9dxaRPX52hj3rHIo9MMOSPYYulT3mE4093tyIPU1pjj0Y5o49ZXyOPc5Zij1J/489e0qFPbt2iD2JuIk9EcOYPY3tqD1NdJA9/peKPUmTmz03yKY9DLutPY73vj1MMLo9O/K0PdYovD2jY5095KCKPTk9jD2ObIo9MYaLPT0CjD1ihIU95NyIPetaiD0/I3w93P99PRHvez22z4w9rymWPf6YlT0CM4w9UzuFPUqygj2spHk9h4h5PQG+gz3KYY09sqd4PV9acD0v94E9qjuSPfcklD0/Koc93VZzPfhEgz0tP4Y9zRmAPbHEeD3S0X09+/SEPUrQjD2BIog9K8d6PdyAaD0uCW09oqt8PSHXhT02DnM9lIl3PRcqZT1IkV09psJJPRXZNj0dQi09TbwxPclDNz3c9iU9w84gPQCbLz2neT49kMtQPTkvZD0l0nE9pMJ1PSvbbT1zW3g9VW50PYCzUj3wKTg9OUcrPfLjJj2fvD09X8pGPWMFOD0HCCw9mFUVPWVLGj1/aSY9oistPVY9Ij0Eu/o84jnLPBRGwDzMBLo8XIytPO0/yjzD9ss8vGG1PFLLsjz0GLs8YLitPObCpDzXo7I8NCm+PA2wuDzBfr08bCy+PLDgvDwnArY8vcGsPE/XrjwjzrM8ELmsPJlItTx95bg8dJe5PKthvjwAMNg8Ri/KPBxIuDz3a8c8ZvbWPJUwuzxzEsg8RnPXPBbL8DyDKeg8OKTaPJhyKj0BCy09kCHkPAZm0TxdqN48A+8OPdt+jz2Lpgs+SUE6PuwKQz6INh0+I00jPn2AHj4IDRU+sNAgPgeMLT4fhSI+gbYoPmN8ND5ADi0+XRIoPqIMIz400zI+kmk1PrOHID6UOCQ+W9YmPrciKD4anh8+LbQcPqBuHz4M4x0+SvIcPiyvET6TKRs+mcYiPvuiKD4X+h8+wiMcPulUOz58dVo+1PUmPmobIz6WajE+15U2PqTvLz7jJS4+SuFNPstJQD7dLhg+TRk3Pt/fLT6PRxQ+R5o6PhfRST70pCY+jE8VPuSyGD6kSSE+qEMiPjuDND6T5Dw+Xe9BPjfaNj4++jc+Iz87Piy7RD7/BS4+YCsjPjwJKj4b2TE+Ej8vPsTQLD5eelU+rsdZPqFKPz5+jU0+7pxGPoZWLD5IUoE+EFN+PmcRNj5zvi8+RZ4+Ppv4MD6sKSY+5HksPlH+MD5cMTc+sugrPrMQHD4SQyw+yDY8PgkKLz6a9Ck+xPowPov/OD5oRjk+Zpo5Pih5ZT6z/XQ+PGBxPhhqdT7SyC8+P3skPkA6OT4JGFk+Xt4kPjoTKz77iyo+ppAiPrugNj4umS8+TGclPrj6LT5jgD0+0aNTPsKeMz6tdDI+2Wg1Po3DRj5fr0k+mJ9QPkQ0Ij5S/BQ+fbMmPg3pKj68pTU+zuUrPvszHD7ZIiQ+lp4oPr72MT6B4yA+MasgPq2OIT5xXjw+o5dLPm3dKj5mYB8+yXInPqW+KT6i9Cc+nhErPqlIKD5g5TI+MEs0Pq2oMj4fTyo+VxctPrG5Lz5KZ0c+j7w1PluLIz4+4iw+Yl4LPk+0ID5h7iw+jj0tPsjULD4WyBk+6+AePlI8MD6HVzo+XXMdPqrJKT5ZCi4+eN8oPvlOQj4uaU8+Gc1SPh0cMz6Rixo+wSQyPmLSPz5TYy8+kIcjPo2XHD5AXCg+k9omPpCiJD4lVSA+42YIPhFSEz49bhE+mPYXPp70Ij6dZBw+ZQwXPrwqGj5ZlQs+USoMPnhAMT7NjBs+/6QrPidlMz7wyVg+JzZHPme2VT5ZZzI+b6MzPuMPNj4pNyI+31whPrzFKj6R7SU+hSo7PgHXTz4BEEo+Myg3PpocMD6OIVE+eAM+PgBkOD4SBjk+xCJwPmmJbz5ahDc+aixGPubIXD4zYGk+Ae5nPsQSYz6sDYE+LxFlPjrDXT5opFs+plQ3PgoTOT4ZlTc++7J4PlncRz73Gyw+qsxLPbZOOT2H8UM9LLpCPdtvQz25sEk9r/VWPYxNXj3MtFw9n6hpPe2vcz2SupI9wZCWPe8+hD34Ln89vWWAPW5Sbz1rXHc9vjxjPfFMQT3ElTY9geIkPayjKD0AZDk9ptozPZVeMj2GpyQ9k3MdPZi1Ij3ydh49WKYpPcEaSj1iMWk9DNJ5Pdt8jT111Jo9qpasPb6QvD0Fzbs9pEuzPXSqoz3UZ5o9ytSPPTO6lD1/fo491fZ7PbFjbz09jYE9jduNPaFxqD178KE9eMSWPRMYnT29RKE9mlCqPVkcrj1FOpU9Ho6XPclqoT1NIaM9fu+ePZiBnj0AOJg9MeKUPeIejj2WcIA9glF3PQ9Iez0D2ng96XSHPSh1jz3JPo89PG2CPf1XaT2e41o9P6BbPX6/Zj3Ptmc9BfqCPdE7iT2NOoQ9LHGJPScmkD0L/og9GKZ4PeI7bj1zblI9FoVSPWyrdj2hYIc9u6yKPUcTgz3tiIE9XgRvPfKLXD3tSVw9fzdfPSn6dz3nw4U9CVGJPdMIkT1LkZI9gTqGPe3SZT3GtWQ9cjp6PSc4jD3vI5c9D2CePW+UkT1pLpA9XlaAPdU1dj11x5E9ZkehPRddnD3IbJM9MFaSPSCMij25wmQ9lthpPQD4cz38uGw9OVN3PfCDZz2JbHM9ToZzPXeGdz1fLow9W/iOPa88gD0Z3YQ9QwZwPXxGWj37Zls91QFqPeqQbz2OcIo9lgqVPX8FkD2YdII9EdB2PQRfhj0h5Xo9K3ViPczeXz2JPWU9LfZxPTR3bz3CYnA9ydiBPX7DgT1aDHQ9vXhxPXtQhT0gJII9JedtPQI0VD18HFY946FkPUCGgT0GA3493mdEPascPz2pPk09h4xQPValez2qDIo9j6FwPbgQTj2WsG89M5KUPc64jD2kqYI9roiKPbAHYj0CHVs9y1FwPaw8hD3Rh4g9Y+qVPU+6iT256aQ9xPqzPXKzlD2Mr4E9j2aEPaGJeT0vnos9gkKcPQW/pT2yypU98jqNPWQmkD2BJI89+A2MPRjpmj2GiZY95jCPPUqOkj1EjI09vLmVPc8bkT0//Ys9oXWQPaP8kz2mRJQ9JV6iPVjisD3rQ609zSCqPWRJpD0TjKI9ovSnPf0CnT3wAaQ9Yc+uPcrApT1b1qM9uKafPfWTnD3T6qA9JEeePSuJnT1N3Ko9q+CpPdwXqT1r1ao9oCumPSYwnj3sVp49cNKXPVPLjj0ZpJ09TF6fPRJloD0PaaE9HzSXPSOcnj1xs6E961qlPUK1sD2457E9Y5yoPRKjpj2OgKA9VxWjPUQOoD3/i5s9icScPXExoj2Q2qg97Su3Pdzerz3ToKU9mLexPXaiqz1ANrA9J/+tPeDYsT1GFrI9O2q4Pajpxz3xHbU9YPeVPTTylT2j46w9KiO5PYicqD3wl5Q97mCrPVbJvz3QQ8M9qLi0PR2Wrz214bE91ZCmPZ1gtT17X7c9eyjIPbzCrz3TKKQ9+YiNPQnvfz3C3II9CQKCPWzIiD0S+pE9HOaMPaCqmD04UJQ9KIKlPR3Tuj1DGrQ93MOoPSpBqT3CpqM9Ia2ZPWh4kz2PEYc9wBqHPSwbiT3gqYc9J6N1PdxXdT2oiX49GaOCPQsOiD0hTYI9772HPa3RjD1lQIY9epuIPYRxij11pIc9IxyRPQc0ij3B14s9KGmKPUrilj3CdJ893NWSPfmFiz347Hs997J4PRrihz2t+IQ9CmGCPf47lz24spY9dRGPPQD4mz2r+qY9zN6ZPVhGoD030q098Ua2PYJPsz3Lwr49i4GqPWTEnj0pUZA9O0Z/PYVmfD3kK4A9ykqJPXg+iD3oOHk9IFp7PaFRij2NqYo9GieDPRL9fz1SQn495Rl4PTF8hj382Yg9/+eDPQJ1fj09FIc9D/iHPez6cT2GQnk9Sq2GPbGSkT20fpY94kOZPV1chj0Prnk9cryAPS6ahD1KCYM9NA+APSq3iz1bp4I9YbRzPatChD2lkn09QIxfPXacaT1myno9X1aPPa5liD1EGXk9XfVvPfwHZD3Kx1U9Bzw2PdiMMD2Fziw9t8QuPaofJD292x49uWIbPQRKOT3jDFU9ZxRePbDiXT0SH209gKCNPaUdkj1e01c9KrNAPb//OD3U0Cg9mvo/PYTNVj2rJ1Q926BGPWvQPj1YySA935QIPRUbCD1VDAY9dqzpPA/Q3jx5Isk8Kx6+PKYqszz+ma887ZmpPCdJrjxFcbY8fQGtPFa+qTxm2K08SmWePPh7oTw8CZY8YhqmPNGWqzy9pK88Lt6sPOH+oTxxOp08NfSpPPCvzTy4+wM9zJvMPMBNsjw6EKk8WKCxPLKtvjxOj8k8S1nRPNMmyzxISNs8sfHFPIIetDyD97w8U6rMPKnFyzxzps489wKvPIu0uDwchcA8H1LdPNxdFD0WqVI9+tdJPdShhD208h8+LxdCPrBzOj6eBCM+wS0aPv1iHT51eho+fj4VPvOQFz4abxk+FnArPoa1MT5nITE+31kdPrrXFz7A+CE+BkkjPh7+Cz6iLBM+pB4lPgOxJz59byA+QlUhPrxTIz5ZFSU+bycfPuRgFz6ZkR4+5kgtPgCkJj6ccAY+KmEUPvwIQD6vTjM+9y41PtFcSj5p2h4+TuEyPsvIIz5wZis+7gI5Pq0AJD7PACw+hLYrPsteFz4kJyY+Gx0wPvaqMz62+CQ+1ggiPuwcKT4LCCw+DI81PszoXT6DOnw+SN+EPkSDaz7VcCU+3/g7PkENST7ztzY+OQ0hPmDQKj4UlDM+xBpAPg7+Rz5WgTY+o7pmPrJZUz4Rclk+H6kyPoRTKT6EoEc+gKFgPqo+WT5TVEc+E2w9PhIrMz79Vio+p68lPiQoJD6Cij8+KgEpPsz3GD6qpik+GY44PmbwQD6aT0Q+NLVOPgJPZT6Jc3k+/+ZsPo3KYz6moFU+9vVKPtL8UT6Wqik+PqQ4PmSdKz4H4EM+LIcoPiOsJD7NnSE+6eMvPoyxRD6a1jY+7tdIPuSxPD6fiCk+i/RFPkUySj5ljSA+mAE2PrAqTT7c3Uo+BNIwPjH0Kz6VejY+6gQ6PiAhPT71eTM+FxU1PiFXNj4+mzU+gtAmPjnjMz7nNS4+f78mPj8eJj5XHzo+sOxmPnOoOD7hzho+KaEQPrk8Fj4+lC4+umk0PkvULD4S1iY+b2QlPq0BLT7dVzc+oepFPj3LIz7YQCQ+4Fk0PndNKD7wAx0+UeATPqKgLz7oukg+UkUaPhEZEz6QnCM+ewUiPou5Iz49fio++4ErPpzFKz6nmEM+hAI4PmvLQD7MFlo+O39nPieyQz4QLDQ+W0tOPuogKT4wN/89E+YlPlfoND4cqzk+rIRGPpvIRT4l7yg+ijwNPj74KD4kQS8+Lm4yPuLMIj7AbBc+kEoiPrM/ET5m8Ag+8kcgPtdyLz7Z4C0+L/wxPlXWLD4k1lY+/ANjPiZKdD6BI2o+r5k8PtXpET599Aw+F5cVPvPmID5JnRA+fUojPj2XNj5VA0M+v2dBPsfdVD5FhlI+5adfPkNPaj6A10o+wiFGPiHXXT43zWM+lHtYPlQzRT5Nojw+xdBAPqyCND627Tw+1sEmPk5jIz7Qcik+GfEvPswDKD6sHTk+F3FuPt2Hgz7zlnY+JUJAPY91ND1S2UE93NdCPa2dQT191lo9DfdaPW/yZz27CoM9o76FPYWVdj3PSIM9j4RiPUiGZD2hIXU9jk+FPS5TeT0ROW49bw9wPWvVQz3noD89m4lBPelYPz0sdjU9zAUfPZFsDj3iMQQ9iEMOPS2NJD3NhzI9IB1KPSkabj2X8IQ9lAKCPRgsiT0b+ZY9DMisPQaW0D19XN49tt+/PdTrjT1aPoM9WL2HPaFBlT0+jZk934eUPVmIij11KIo9mfOEPcD7kj1t+5s9SdOZPa5roj0VH6A9bBGTPbhdkD30bJ49ymOdPV5Fqj2UGK49PdGlParxpD0FV5I95RqZPX6ymT0VSYM90Zp5PTYFjT316YU9IoV4Pa1ecD1Ac3w9A4uCPf/oaD2QlWY9xchwPYEXgj06YIA915qBPfAJhz3f/3k9/Od/PZdodD2wm2g9aGaDPWCghz1BI4g9F9qBPdvqjj3cEpI9tYCQPaejgz3zGGc9Bk9aPZKrVD2bEWU9zHh5Pdsuhj3SWH89g6qLPSOJij0xI5M922B5PXowej12MYE9A8CBPfYQkT2yNaI9XuKUPb4fhz1TUIQ9BdiJPd3WjT27ppw9bj24PbVftT21A5I98RWHPcEbaz3droA9CaeNPQ+2iD20+4Q9vhaGPcCYaz2MdW09ILV/PZXzkT2Si4o9daCJPQwKhz1r1YE9AcZWPRNzUz1CoGk99H6BPf6Ojj3YV5891/qrPVCenD3AX4o97cRuPVFHWT2FZmQ9IINzPVJqhj2EzYA9dOyKPQieiD0YCZA9BAGXPYkWiD31QoI9hvh4PeNDdz0jI2w9NM5gPZkkYz0rh3U9D0SXPVVIlT3t+oo9j3KAPQx3bz1uuH49ISd1PTiQbT1poXE9/Yd8PSN/cj2/p4U9mayXPeHuiT16gW49Vq1pPRhDdz20fH89TxiEPaw1fz3CYYM9MzSQPeO0mj0KWZs9ptGHPf6eij0LU4o9R0yLPSnekj2iG5I9wdGMPVqhjD00zYw9Rsx/PVk3hz08L4U9Ci+EPWsHkz00NqI9/GqaPcuLkD3RRpw924elPRRfmD26uYk9r4OIPY0hhz1wIY4911KcPSmOoz0R55w9dA2fPawZlT2B0qA9XjalPU/vnj307Jw92R6qPQltoT12E6M9ziCkPahMlz2/tqA9DjudPcagmj3+JaI9nWGVPcWalD3Q7J49PRWjPQkroT29vp093HeYPfl1mj1G5Jc9cU2dPTOunz2I3pE9TtSbPYsapT1ajqs9zwShPYoTsz2CwcM9BQO/Pa3VtT1bJ7E9ijupPcERpz2kdpk9hICePV9TpD1ADq89TerKPb6YwD1h0sA9E0i7PSJaqT3yoKU9VhuqPXUvrD0J/rQ9qEK4PVkOvz3MIrI9JIShPYgopT0Dta09J9KpPTjwrT2b2Z09UIaiPbTHnz0SY6Q9bTGlPfuxsT0lYbc9KiGiPaq5nz3Z5pw9aRGhPdYjoz2f1Y89VsmAPc8ehD2kHY89R/aNPbvxkz0qSJA9WWeUPfHnqj0J3aI908qmPSCPuj3gQag9y1iSPf9ClD0GwJc99m+TPZWYkD3nIoo9OTuXPTWwkj3Qv5A9/cKNPRBzjj3pWJQ9K8mCPT0ciD33log9k0SNPd/6ez0SsHQ9R6WVPcwhoz0Awps9aiiVPaqdmz0TJ549gTufPVBsnT0ftp89xCuaPae5jT1BnYA9Gv1xPQl3gj2iO4k9e7WNPWv+lD17kKs9kziqPcnKqT2gLLE96DuoPYNzqD15cao9VqmxPYpDqj3W1509lV6RPYmnhz0sDIg9t76OPUElgD2u13o9YgJ5Pb3Ndj3834Q9HcaLPUbygT27MX494LKGPXyhbT38qFg9nu9ePRiCcT23fnc9BDyCPV9pfj0ZYYQ94HyOPVv8kj3s1JU9w6+UPfdEoj1RPZw9rduKPe+Wfj1n6YU9q2GHPe7Egj2w0oU9oFyJPX+3kz07g4g9rQKBPSTLcj0RQGU9OxlrPZ1zhz28/Yo9hoiIPROKhT3OZoA9x9FpPW8cVD3kYUg92hQ4Pd2HNT2dujE9yfsqPatTJT2F1jE9oBVCPU0zRj2wa0g9+wE7PVH8ST2bXGU9aJdbPUt0RT3gBDc9E8otPSQoKD1MICU9rY5EPaCESD3P0kE99rUsPeT8FD3/ERA9wscAPZeNxzxSXbc8BrSoPJYRpjx9G6o8KDG0PEMbwDyZiro8P2q2PHbgszzTBbA8FyKxPBi7ujw6XLY8D82mPNMWpjzus508oo+YPIMToTzeVbg8z3u4PDpJrjwfGp48UqqoPP/otjygObs8DpSzPB0KuTzAE7481+ykPJeatjzFQMA81a23PFFfyDxbL8Q88xy9PELbszyi1bE80Ga8PHdiujwK/b88p4+zPKkBrjwJtbo8HHLRPLRWGj13gYU9gWK1PfF2Kj4bXEs+lmAwPuWQIT5C8h8+uL4RPnvBCj6yIQI+hdYAPq6rJT4N1ic+A3ktPvtSJT6Q4iI+X2EiPnFgHz6Ufxk+xdIaPvVwIz5BPyA+Z6kfPtJXJT5MSBo+DuwUPtXbGz7BiRs+S4cZPtCYDT4ZjRY+fowkPniCIz5Gwwk+wXUqPvudXz4OYEk+qqcoPnpRaD6Ha30+J+UlPvUTFT7d8yM+dEYvPjuIKj7FDis+XJ0zPho+Oj5KsD8+AipfPgWEOT5pmig+KNonPjzVJj4pDyU+WnIoPkoXOD5+X2I+CgR0PumNXz5BrlQ+prhGPoLrNT5LcSQ+nqgfPnPLKz6vxTE+zedBPp2nQz6FzTE+tDE0Pj1YWz4u40o+mDsdPsZKID55IRs+GMgqPkOMRj6hrTI+lclJPkvGST7awz4+PmlsPvQyYj5vxj8+5ihIPg6tQT7zwUI+IadEPqIZRz6JsVg+ukhuPgNEiD5DkZQ+Qd92PqIsOj4/Ijg+YfI7PlT7MD5VHiA+lEkyPhWpNz5ZEjo+QQw1PiAzMz6dNCs+8Jc1PpQ/YD7MZTQ+AmooPn71Kj6g9TE+QuZLPtaLLz4HcCQ+6S87Pn3AUz6wako+FMgaPit7JD5LWkE+9ttQPkeRPT5MzSE+l1YkPvZSMD6n+Dw+1TEwPj7EMD5WMzo+5No1PhcmID4CEUc+of1CPt5UKz7lAyI+zEInPjCVJj5t7yo+QYYpPllOKT7lFDE+g2IwPt+9KT7VHDY+n/I6PkR6Rj69/lw+AaxZPjeLNz4fPzU+0GFPPghHUj44E0g+eKoxPjBICj54DDE+QD5OPphlTD60zDY+9N00PqYHGj4hMTI+IVcoPlTuGT4k8kU+J1RTPoMuNT5Wuyk+yvovPsKdMD6/wRA+BLwmPo4sMj4/bCE+zc01Pi3lQD7Q9ic+2lEtPhUnMj4aaEI+A3w+PilhFj5PyyA+EBAvPs7kHD6X+ic+IaYnPp5ZGz7+0B4+OGAcPtgiGz45ff091B0QPod5kz51DHk+CsstPgmeDj5zMBg+C6ogPkUeJT60XCE+OywjPq+UGD4KASc+G21APh5XXz4rfE4+CwZDPpLJVj5n4kc+NtNGPreVVj7j2Vc+liJCPsxjQT4T2EI+vfI1PnB7Pz6mekE+tUZGPrghLT69kzE+RJlPPiwzJT5YoT8+uQdVPoXzTD6Spkk+rEhDPbTMSz2J4kI9iXJGPRk+XT35mmw9eCFtPYIegD2F1n49ozRhPeMdVz343Gw9OwNxPc28fT0xv3Q9nM9pPdYHVj344Eg9e/hCPVVPOz3X9Sg9M0cpPSwnKz2iVh49lHkNPY65Bz2OEwk95X4DPXtsKz1c00k9nCBIPW7+Uz0WNXY9oN+GPaDXiz1napU9grC+PYB/zT2rf6s9loOTPejbeT3UpoI9gXV/PSh8gj0dPos9/vKGPQMXkT1IJ6k9y2+pPVC8qD1ZKp49SFGVPfUqij2Ryog9JH2QPb/zlT2Vs5w9caGqPe5grz2wW6E9TnucPQl/nz1k+JY9fbCYPQ3Jhz3rnJE9X5eYPUkzjz3FZoA98AFiPST1Yj3CcXI9sAlmPXz3ZT0DW2k9pKOAPZWJjD2LaHk9+NNnPWJSaz3peIQ9wD6MPXcDcj3SEIA9xIRzPZc/cz2b6Xs9RFVyPU+udz2j52499Ch8Pe29eD2J4mk9wrtgPVoScT0isoU9nMeCPYrYiD3Jj449cDKLPRRPiD1hSXY9TsJhPTIBZz07hIQ9nkqIPU/Wlj0u/J89j1SlPSqKmD20tZE9BxWIPWQ6nD1RlK89/Q6pPYTllj0yFII9MiSCPYydej0s/YE9QueOPQOMkj16PYA99I12PdWyaj2eFGg9fnyCPcBkjD3rnHk9Tn96PamMcj3itlg9GXxXPQp5aj1CyXs9DnSWPblOlD0ufIQ9gCtaPZ1wVD1IF1M9fghjPUygcD0Vq4I923yIPRwFej06yHw9RoGRPYlNnz3qdKM9n7GmPYSziz0bdYM9ztV/PcKWZj3Vkms9dEhxPVwmbD1Id289/9tpPX33ej0nC2o9UIZlPcducz307H09QB94PUT3gD1BW4U9P16IPevSkT3PsZg99QybPWVJeT1dTXY9J55gPYWFYj1ORGo9Jgd2PV5ohT1LyIs9Mb+dPVcbnj089Zs9RHmRPcLVlz0gZJM90G+dPVxmmz1ZtpY98s6bPcs6mT1yA4M9sGhxPd9khz2hOJs9mK+YPcO1lz3SK6M90gacPcQ3lz0EEZw9hl6OPSDqjz3Suog9A/+HPRMmkz3OEJ09p/WUPZCMpj0M76Q9y2SiPWrYmD3VhZE9TYibPfv6oD1tEZ09lFCfPfp4mj1hTJs9/4GrPTOxpj2vz6Y9OueXPRGamT35mKE9LPejPS20pj20cq09OfSdPSvImT27qKc91uSoPWgJqj0oPLk9tji+PSsTsD2Yrp09Pz2YPf78pz1lRJQ9HTyNPendnz0dtaI9VTKqPVDRrT0vh689pXq2PQmtsz25lac9/82mPfaDtT3WUbo9/ZyxPdbFtD10mcI9B6K/PbLdsD3TDqk9t+2nPZ6Wqz0SD7E9dAmmPdhsoj3GqKA9Ie2YPfdAnj2upKc9UQGwPej1rj1xh5k9GCmSPdPHnD3ZzbU9mDazPZDIpD1kmLI9bFOgPclIjj1hFJY9g+6ZPUK6kj1F0ZA9goeIPSQZiz1x1pk9EfWhPY92nj32Wak9JgqsPXMeoj0OPqM9a4OkPVBRmD3YEpA95K6OPRiEiz1WFo09vAyTPUSrnT2YXaQ9mLKiPRWCmD0+FZ49aWGkPf1JoT2J1p89PyiVPeMtiD3pfIw9hHyNPUC9hz2fqo89M1+lPRndoT0kupM9tv+QPffHkT12TZA9a2SbPW+Cij2wwIM9swyHPYzpgT3ViIQ9qoiBPbPJgT1Pb3o9VEqNPZC8mD262aM9OZWqPW+Iuz0NyrE9EYCnPUwdij2S/Jk9cKmgPXLilD0V/449heOSPUAjiD0VOG49VfVgPe4naD3qUIQ9k2yNPdvGjD0kAYk9gbJzPQFlez0In3o90OJWPeQeYD2M+HA9aRJzPQjbhD1GDI49oTaOPc+Fjj1XMaA9h+WePb+TmT3oc5A9v4eIPYcMhj2pnYk9OByIPZXrgz3sY389XtxwPU+TiT0o/5A9T4GEPTh/jT3I43o9xHx7PWzuiz1OPow9HRCTPbbpnT3ztJE9m0GAPZp+Zz2FJFc9Em5MPTSrOT18QzI90VsxPfheQz1upVA9Lz5DPaTjQT2u7k89uHw9PfZfKj0I+yg9nV8qPT7/Mj1PtTQ9JK8nPbaDKz2Jayo9Wq0qPQkGMT3ptUU9XblRPbFrUj2eEDo9TDsuPXCzIz0VexA9kgD2PBGOvDxCfK48hdalPHMhozzFsqg8aTCwPAhmwjyv07I8aDa5PL2XvjwLqLo8MeO1PCqEvjxVO6c8foevPKvSqDyo4Kw82gujPM0XrjynRNQ8eRLQPGbAuzx7bbY8u0epPHsRqzyxH6o89Qu9PHU5wTzfCcE8KL23PLj8vDwEfsM8Gd3DPDUhxjxEqcA8+qi4PHHZuTyKgcI89OPDPEUSyjz18bw848asPEmjsTwIn708QXjrPOHmNj1GQqQ9MhMbPta1RD5pmEM+ZDMTPkHWCD67aBo+SnoZPhgPGD6siRY+oZoZPsG0Iz5gxyE+wRsgPhijHj5Pzxs+5W8aPmqIGj5roBQ+HnIbPuOkHD4hJQ8+i9oNPs5WDj45mws+N0gQPtmmEz4JYhI+IVYQPnZzCT5YOg0+f90iPmgOKT5DxT4+FQJSPiGHRD6uPyk+hYIFPmmALT5DKEk+Hb46Pk2ESj5JADs+tvw0Po2ZLz4VHTc+PCgzPmHqJD6B6yo++Bw0PoLQND5wSDo+fqkpPvZuLT4/RDE++8cpPtnsKj7kQyQ+Aa5MPvpqYz7VJWU+jmg4Pg4CIj6MoiI+CvwqPq7oKD4AHC8+zFQxPmpWKz5bA0g+JKofPjZGJj5pvTc+gaYnPmdUMT5NQCA+ZRA7PhJsTT6fbTw+tdBYPgQEUj7eU0U+Q2BFPm2WTz7NnVQ+45hHPoODUD7yyUs+DCF5PjfQqT6KWqs+7Ml5PqSRQj4iRT8+FgM+PuLAKT5AayU+bp8xPuJSTD4vzTc+JxYsPqWzMD4SrC8+aBkqPnjVKD7qsi8+ZjA7Pr8fKz6t/Rg+vvciPmhzGD4z4xg+VHEbPuOFMD7f7ik+w+w4Pjk5Zj6RJyg+MugWPlaZJz4qozI+h1kjPn8vIT4bThY+ZkQhPmscLD5iZCo+BucjPo+6IT4m3S0+0g41PoWaET7ByCk+jHwWPhnTED584zQ+jNhAPjjBUj728jQ+ACMdPrHCJD5/WS0+VP47Ph31SD49YFE+bhI/PrhXXj4xJ2w+xYo4PoN5Pz7paU4+8RBlPkZJWD5OlTc+WBQvPqClGz5nt08+MLFUPtx3Sj6iGTM+f48iPqSzET4F9yI+MHcxPsJZHT78lSo+K2M1Pse3Nj6eMjE+LxE+PiutPz4PlTg+Eg8+PpntND5XTy8+ERY4PlpGPT7kQy8+D7UjPoKuJD5bTic+Z8IsPiVMID5GGyg+vtAsPseCKT490x0+q3UjPjq3IT67ux0+CygTPtykEz5GrxA+gRQIPrn1Fj7aMRc+tLUTPn/LIz67tD0+HHI8PnZ6Iz5Y6SA+p/AjPq49Iz5ByiI+nx0wPoaaTz5ExmU+xVdoPiDlRT6sZB8+W+IyPpYiRz5PGTs+a3NOPjB1TD4OMls+Ai9UPu+qUT6kI0o+yTw0PqjDQj4J/UA+BgI1PsvlHz5emCo+mTxWPsMTMz4Er0Q+VryEPRZkcz3bXXE9V0lhPcjXdz1YOnU9LSBxPUtFgD1KImQ9OLFCPZKtSD0152w9U3J4PTNGZj1Wxkw9lMJSPfejQz2fM009ieZKPSaOVD30KFY9TgQ8PS1YJj1g3gk9lNcIPQqj/DxG+vM8rEkVPVlxNz0SP0g9TRZUPb5dWD2Vxm49nFWLPTUriz1QvZY9zRirPUDKlz1k6mI9Rd9YPfxbbT2ggXQ9Pqp2Pe1yiD28SY89o8WWPfLQrD0TyK09W/WlPSWqlT3diow9GIiSPcPDkD1ulZo9w0ihPQY+nD1kd6E97IifPVEziD3++YM9GtmEPe++hT1z0509wYqoPSsjjj3Xqn49PNeFPfkfgj3tFGw9DIdjPYLZaT1oIXc9ooV+PVZ+fD3ttoA9n/SGPdNYhz2/3IU9mamMPaRwlT1rA4s95qBoPQWzST1ZDlo9F+l1Pcjygz2PmIQ9iwZ4PQ3EcD3DCmw9YOxyPYD5jD1DpYs9A62LPQuTkT32KYo92SaPPaeYkj1vso497NWGPeJAcz1uX2M9UY97PYdihj0uA489Dy6EPYbAiD0NO6I9t5+wPaw0nz0h+ZU9s/GNPQU6lD07e6M92Z2QPdvZjD3Kg5A9zgKWPeOdij07fHE9oglsPTrwYT0xgnU9+s6EPb8ljz1OAZo9rbuePVfsiD1nanU9k3F9PeebcD2XoVc9ySBbPaFFZz1yuGs9ivR6PXFVgD12xmU97y9WPUD1XD1LXnU9p1yEPXXkgD1z4HM9XzN6PSKNgz0X55Y90U+kPXbMmD08O5M9XBOKPQi3dD3sTGM9xAlcPcHiej3Lo4o9bkSEPYKybT1BQ1o91CRePRfaez3EfnA9ZExhPVpfbD2/FW89uaNxPdmpfz0+EIQ9JTFtPZyUhT0kOIM9lT99PSSmbT2hAFs9WvNdPZ8fhD0cNYY93siCPReHkz1/55M9N6yNPa6Riz1pQoo9H5CLPUG7lz0Cbp097lCZPSkomj2rh6E9TZmWPfKbjD1LeYY9WzOEPfRHij2s9Y49WBCnPccxnz39aaU9CkqjPbZunT001J49T7WYPd9FkD0c3pE90AGePdDpmT1765I9w8uePfDloz3zM6Q9jPCpPTk5pj0g26g9JOCqPabQqj0Yu5g9q7uPPZ2ZlT1GgZc9vYGTPe5BrT19Nqc9SXWaPVTwoz1Uoa89UZy2PdfNqj13oq09AEe5PZ4wqj0xYK49fz2pPSJhrT0GELI9fwCyPVdWqD2MTqg9ApahPWLUkT2rHY49YNCgPQGLrD1HJ6Y9/uqoPa8hmz3wJ6U9Y7O2PVd2qj330ao9FOeqPbEysz3pS689HLuuPWhivz1S0Ms99miwPVH5nT1mjpM9B7qYPfmPnD1TJp09D3qdPSyMqT2XvK891Nu5Pbjkvz3fpb09EVOyPXHhqj0SxpM98XqcPR9Qpz0Ro589pt+VPRmZoD2PCK49biyiPVOnkD2O3589zhCUPcn7kT1ksYs91+GZPUpRnz0RYKI9GDGlPWMWmz3z9Z09sAOXPYgEkj3nlpI94zOYPQvykD3NoYs96cSQPRfPkz3sco499zKhPcU1sD3DW6o9VD6rPatCpD306p89b0SkPVPLkz3Zboo9zvqBPTg5hD1wR4M9PpWPPSeymT104ZU9I3yIPUuGiD2CNI49AIGGPY+fgj0uYYU9lImMPV8Cgz3dVnU9gyV3PdX1gD1afIo9dQWLPWZWgz29wJM9cn+cPcqTnj2K+Zg9yzahPdhnkT2DM5M9aFmPPdHFiT1V+JQ9HriZPSwYmD3VzpI9gSaCPWRVXT2SW1A9wCpJPS4ZWD0vxGQ9CYCCPRR5kD33kIk9tqlzPdAvYz3j8GQ90vlmPeSLez0AQ4493gGJPQCXkD0ZAps9SAKYPX2wjz3jQJQ9mIuUPSjdiT3Xv4s9QGSQPVV0nT2I+KE9de+IPYXRhT26Ko09NlmUPRrPjD3gE4A9E7CBPZP8bj3x+209gaaCPRedhz0OCo49G0SPPYg3gz02/nE9pGRQPbuLOz1GuS89RiUrPQcEJz2rdjE9ENRFPfjDWz30ZEk9IF1VPYNYSD0uvyM9nhYQPWLMID3MTig9cygoPQdfJj1U+is9NZA1PYBjQD14Z0E9pPREPdsHTj0HoVY9MeBePcLrXz0FmFY9nGYyPXaFGT3YQ+s8dRO8PJxDqDzr/qw8NNGbPNqEnzzo6qQ80QWpPKkivjxAFrs84CzBPIciujzjXbI8HfC0PD3WsTyuvKM8xkurPIAGpDzinpg8iMuvPJmOxDxgqL880D65PA1GwTxZKqc8ugetPOjtrzxvu6o8m0+5PMD2tjyC98c8AZrNPJJZrDypv8U8NxjhPAa60Dxag608V8+3PFCSwDxWH9k81j/OPAjszzz878w8tFDKPBVWET0Mx0E9f8JxPXB2uz0g/js+B8BXPql2Qj5fHxc+N9cZPiMjHz6Y+Bs+I8ESPp3BGj5k0R0+6nIdPsUWHD4/Wh0+RlMWPtHzIj70Fyc+4o8bPjQRET5hhgw+GbMcPnvmID6+yBM+bGUTPkW4Fz72ghA+/uQIPqbZBj6RjQ8+D0oAPihqDD64hh4+b14cPn0gIT7h2y8+V981PiKNPT7lISw+CmMVPkhAHD413DE++vg5PundSj7laUM+71gvPsUgJj4bhiU+GK8jPluyKT5pgyo+sbkjPpwmKD5CtCM+j2coPhP7LD5k5So+65MxPsMCJj6AjiI+mCogPvl+ID6etiI+YPwdPrZnKT5e5io+CWEvPjIvLD6leSc+TBoePnAmLD6tQys+emc8PnH3Kj4NeiI+HNkoPg1jGT4R8CM+d20/PvriMD77SCY+AKYzPtNIKT6Ehy4+qjgtPuwDSD656oc+uMR7Pp5uXD66VVg+TQyHPojAiD7fQWc+uF44Pgu+Nj5qADQ+Ml00PoAYMz4w1zQ+2Gs+PkVkPD5ejEU+hupOPs8uMT5ZVCo+9zkoPuKhLz6V4zU+ef8pProANT6ENjA+cTIoPtMGKj5sfiY+SfojPmdoMD74RDs+4mM5PuW0QD77CSQ+tGIdPrLzLz7lRSM+cmotPlhoKT7Spxs+4WwVPhhBJD7FrC8+ZKkcPvQdGD6Ofhk+GuElPhOCLj7jqiM+oaERPmRFEz6IQCw+0dM8Pq4HPT4FLzM+h6YnPvkCFj7MvxU+MVYoPmgTST79fk4+5S9KPvU0ZT4kOV0+nAxFPnJGLz4T7Cg+1/1MPgRQPj7VaEg+vHpZPgAUQz7XE1I+TEJuPkXTUD6hYEE+cdgQPn7iCD5YpCk+bt8rPkzkMz5sUjw+K30tPlSbLD4MviU+H2ohPiwCOj5Ks0s+mbczPpR9TT40C1Q+YUs1PrXDQT7zsUs+ewQzPgn4Ej5v3ww+kwoRPrLnMj5WMig+pbMnPgNBKD5k+yA+64UaPuwxKD63Bik+qjYVPqBVEj4Ajxw+2JMePgXNHz7qcyw+4qUwPl51RD7Vj1c+tUxBPmVqLD5l5Sc+39AZPikVFz6Z2RM+DdknPjNpOT7rKzU+Aj1cPppPWD7LlR8+yd4kPrAPQj5+kT8+QPtOPnxrTT6zvzw+GcMxPhdDPD4zhEQ+iaFMPt5qWD7XdVw+pNA1Ps7JJz73cFE+QKNOPqKbMD5VSiw+Uup6PbH6aj3NEXg9hbeCPfqyfz2EaHU9NNeEPSlXhT39Sm09x9xXPc3taj0MUYM95CV8PdSxWD0Fr1A9yDhWPcIOSz2dlUk9We5dPeIfgD3XrXs9sOFFPTlIJD1NOR49IsUSPUZ0Az2a3xo9RQYxPWPWSz0YEGU9HkxmPWkbOT0+4TU9ca9nPYR8gj11TJU9F6eHPVKEWT0NoDY9D3pHPVKKVj22cG49tYiCPdU6kD0jEI49wymWPWZNmT0zcZc9Au2cPW9Inz29jJw9aWeXPQMElT1Kk6c9DZanPbvMrD2prJo9ub+BPQz5dD39s3A9moOPPQwhkj1xQ4Q9c8+EPaCriz0qp2s9l1hrPcp5bD1SCHQ9ptSCPWuFij2bK4Q9N0J9PZjraD3Timg9ExuGPe0kiT0k4Ik9+mV5PcN/eT1ZBII9bbNlPduibj0+rHk9gH52Pb/Zdj196Xo9kh1jPcIXZD0xBnA95GmHPaXFqT3Bxps9LpKbPX2Okj0bToc9U5aPPZabgj2X0no9T4V7PdqYhD2TKI89sY6OPWR/mD3Lp5Y9haaOPSd+mz3WhrI9F6uoPYg2iz1Ro4o9VlmMPY57kj1GaY89olSDPcNDhj1XS4g91AODPRPWcT0Tm3E9BdppPY8Mez33xIo90jWNPQTbnT2mu549tTySPSYefz1y32Q9sF9jPcRyUT2KhlI9oJZwPZV2eT1Runs9vPtjPRCJgD1gLnw9U1pjPV9jXz3kD2c9jIpnPSCWdT11YYw9oEqZPX5Vij3A5YI9/h98PXlgbz2hwWM9t2dXPfSqZT2Ep2I9KcVhPRyDcj3ANXw9gslsPZ5qaD12lIY9M4OIPfbRbD3sa2Q9L5BpPRFnhD2us4M9YItwPRkibT2YTIA9nZ95Pb2niD0ih4s9zIKFPdZOdD1E9mY9Eed4PfIClT3R/489sJOEPexGhD1GXIM9Hu6IPb6ykT37HZQ9M5KSPUj6mT2KfaE9zS+ZPZqXlT2u/ZE9YdaKPT+whT2kpYM91o6JPYDojj0SvY89hP+YPZfnkj3wX5g94/CVPRpGlj1ZvZo9nu6PPSn9kT0gxqc9nSmlPVcEnT0de6A99sqbPQranD121KU95Z+iPRrRoD1igJo9Rk+kPZR5oj3G2ZE9/RaUPcDVoj2N3qU9iQSaPf/Nmj1Ezas9EuzAPV6Itj2/L7c9YQa5PbSltT1xma096BW3PYvsrz0I06g9DnSaPeV0mz2cZas9GMS3PWR0qT2+1Zo9noCmPbaFqz1Whqk9e464PY01qz30SqI91JadPRgxpj0Jua89uiGyPeaQtz2T0a095ku1Pd/ytj3J77U919GvPUu/rz397rc9Ddi8Pdy5xj3krrE9vkOnPYcSoj1MX589SuikPaRcnT2KN609SLKpPThHsj3dl589IZ2uPW8zsj3YSKg95eCmPa96nj37Vp89pXmiPUG7oD3JCps9tKOSPQWjiz0YFIw9faiWPUI8mz3bGpU97kabPQeqpT2Bhqg94BKbPfZlmj1rpqQ9x4abPam7jD3ECIs9tuSGPZLMjj1V+Zg9iX6nPV1kqD3oUKQ9FR2tPXXRtz2tBq09q+KnPZQxpz24NKg97CKZPWzCkz0754893ryGPYTHjz00+ps9GSKoPdmhmD3hXZY9T+OOPXLlkz2HIoc9Q3p3PcJhgT31GG09hU5mPdKxcz0U2ns9aMeGPZXGlz0jIJs9pleTPZhSlD325Z89LtyhPfobkD179JE9LlCLPZPPfD0pNJM9uWibPePNkj1n15Y9CE6YPUIjlj3Bs4w9PtOAPUFEZT17iVw9vJY+Pf9hQj3QZ249Q6+PPbSyhj0/c3A9DGlgPTHWXz30Gmo9WleCPfKsjj0+gYs9G2GNPYW9kD1r6I09i62OPV7Xgz30SY49QmCSPVSEmz0evKQ9b5qcPQL1lj0oYpM97cx1PTaAbz3IjYA9cS6NPdy+gT3A/2Q9Z/RlPceBYj1gEWE9x/BgPdnIbD1Uyng9xBBrPTkiXj3OEk496z5PPeN6TD2sVU89Y15DPbUQNT0StjI9kqtAPR70VD0Z0FE9t0FDPXkrJz0HWC49I5QnPbzTGj3VQCc9NqUkPRZcJD3uBTQ91+lAPVYmPD2clDk9/e4wPdhMKj1FwSY9R4kdPUkEJT2mayE9LRofPfGMGj2icAI9JqfePFhnwjyUoas86C6uPKJIszxF+qU8P1u3PCJ2vjxScMg8fuq+PKcjtjwHb6s8xYChPD32qzxYhKU8Wne5PJZGrjxi5KM8bLe5PCuIsDwyi688YqfCPDfX0TxT36o82RO0PLdDtDzeo6480fevPJBCuTzs5qs8gxLPPN/CxDxanr08DS/SPL46xjwRf748NbO0PL1swDzf3Nk8FzHFPIN21Dzc2tY8QAT9PJXhHz3dZhs9dlQTPQN6FT3hOzw9pRZePbQU0D3DhiI+lFEkPuBKHT64gRo+YeoTPosLFT577RA+IYgNPrr4ET43Nxg+00MZPqmGJz523xE+groXPuCYFT66dw8+/vUKPtEYHT667Bw+ZYoePjLWID6Nxxk+35UQPrWHAT570Qk+CyMQPsVAHz7AmyM+TcQcPqUTIj5sJR8+id8KPrAmGj7NpyI+E8A6PiC0Lz5bXyw+IJY1PjHYPz5M3DQ+kqEePrZTET6mrB0+tUYQPvbSKD5moUM+nP8jPjTfKT5PATI+iF4rPq/LJD6TZiM+YtxHPtJlNj6FVUE+6QU0PpXeNj7JJy0+L5ElPgVnLD6RtzE+JXsrPkN7Lj5PHT8+jstMPpHwPj7N8iE+UZQ2PsLoRz7CwS4+PCAvPns9Lj7YHC0+1HMpPj9cOT4a1k4+jxxNPvSXOT41rzU+leQYPtVUFT6jxpA+kUezPguLWD6j/S0+KtInPukqIj6xKjA+YhofPiA1IT6agig+CWgtPjRAQT4rsDU+HSQ3Pi9XQT6sRzo+3wIpPm0UHD5+pSo+KdEyPjXoLz58Gz0+Gx8cPpnxJz5euTM+bmAmPtmHPz6EGUE+w1dKPvRYUT4S8jA+3oNEPucQPD6MMyw+n1M3Pgi1PT6R5C0+sdYcPhbYGT5SvCs+LVc2PkKkLD4+0DI+uvQmPtjrKD42OSg+7XslPlk1Hz76EyA+L20ePva3ID7J2yI+ZuEiPqqCIz5coSM+LAk0PvrqJz5jtxg+WsI0Pu/dMT4ooiI+y6IXPuIQIT5HYC8+EF46Pj2NTD48wj0+ZbY5PhFSNT6eSzg+QQQ4PjEnVz41nEk+Y4g+PihPKT4Qkk4+ZbAqPr+8Iz53w0s+375MPp6ZMD4DcDs+cP8yPj05Kz65Jh8+nYIdPuyNMT6sbkg+3RRBPmzrPT5l/Ew+ISA8PuvzLj7Bch4+HmIpPpEGKT7ljCQ+lbMSPtamET74hhw+snUpPg3sKz4gfzs+DM87PgcPMj7iEig+icojPuy/KT6fqCw+PC8uPh8NLT5OKyg+zrIvPio8RD6mVDU+M1ExPtyBIj4RYTU+kcYrPjhKGj4HIB4+KhgwPtasLT6NYCU+1ONFPrWpUz6LqUw+wNU/PqquST5Zz1U+Ti1VPrO0Tj7a3ic+6E4bPsFSRT6nOkw+75JzPk9zbz7z7D0+ib8/PsG/TD52a1U+F/Y2PgFyNj6KVz4+24puPU+zYT3aGns9RhSLPbXOlD1644I9JZmKPSdjdz0/Emg9k7NnPaDBdz0ypYg95F18PeRcVj11pEQ9QQhIPTZTWT2Dr4E9juaJPfwEez2mV2c9RIJKPUXAND39XyA9hzkePbpzOj3mJ0g9TH8+PTBnQD3UmD09WQNKPQ/vRj0oAEk9e0JTPYl0Xj3xmFA9KxcyPXNaOT0LYkg9xABdPXVXdz0sjH89v+iGPcjRgj2aJ4k97qGTPbYomT2yaZU9PpSjPdahqz0xD589gYqZPTXsjT0hH4094eSZPehikz0l03s9RzF+PWhacz0XqHU9NHl2PUx5ez0KJYo90xKPPXX7hT2Emmc9HwdkPY1qcz1yKIs9t8mZPQSBlj1GW3o996RmPcumXT1b9mM90ByDPdXSiT0e2Yk9M7B+PU9caj3bG3k9c9iHPRjkcz2Vpls9kK5iPYC+YT3lMXU9OWx8PcBmhj2YPpc97PyWPbT8lz1sDaU9RJuSPXxEgD0jC4A9ujyEPUyicj1h93E9oGuHPYSThz20iJA9HYOmPRn5pj3dXqE99RSaPQsFpj1xda498UWpPetVpj1el449NkGCPfd/hT2FkIc9gi6EPSbjiz19CYY9oYmCPbYnkz0fAIs9pBiOPRG+lD1Gxo099jmHPU05fD35FGg96TF0PZ1bhD1nI4I9u75uPZl7WT3zg149QC9pPVombT0DVW49mQ1gPWDegD1xtIs9C8SIPQhchj1pcYA9jj10PcCFhz2dgIk9l4F1PThnXD3IJmE9441wPdphez3uY2M9woRSPaDcUj0Qq2I9zl5cPSUzbT2opns9nTp/PcU1gz2VN3w9Dc2APQEPdz3eUWc9z1FrPc+Vej0ZonE9YeBpPWPIeD2DpYE9Y1aGPZV9gj1sen09xxFuPahnYD3QlW89bpF5PdeujT38XIM9aZaDPRjLgD0sdXo96ER7PVpZgD3djIs94T6WPRcFkj3sCpY9cHSSPWXgmj1DO6I9RiusPfOFmT2X55Q9eNaaPU05kz18u4c9D0KRPbZ8nT2HBaQ9ZgmfPejkmD1qlpQ957+UPV0kiz07Upk917SkPdFMoT0zLKc9yiKqPZZpmT3nnJE9PDyePfn8pj3KwKA9qh6oPRYgpD1a8ZQ9qv2WPX5amT3xF5o9nLOaPWxqoD18J7U9Cle0PcXvrD2yrqg9rOatPfM2tT088Kg9u9eqPUVDqD1KAaU9sMyZPUxYkz2GYpw9vMCmPVo8rD1CFaA9F1aaPavypz3x6rQ9DUe0PVsWpD3qv6M967+nPXdwrD1c7ag9DlysPQUJsz1ZxKs96mGwPc4grz3TkLg9CeW5PVOJwD19hbU9fWCiPT2Pqj2F6LU9QM2yPePVpj1yLp49FNCVPbLanT2DraM9q/+nPXLTqz18Uaw9IXKvPYKSrT0bjaA92pqfPZUpnT3kV5E9CECLPcoxkT0+G5M9kqOHPYAkhj0GJ4c9xY6LPb6jiD2F3Z09HuWwPUpBrj1fR7g96B2gPeBbmz2RP5s98ieUPdUlij1Mn4U94cSLPWlvmD0fqaw9EdbAPfauqT3TPZw9LK+kPXLUtT30kqk9UwSlPQsukD0FUJE9utOfPeWknj09lJ89DgCbPZmymT35+pM92kuHPWR3kT06BYc9ChGLPYgGnT1N3Ys9FLJ4PXxOcj0l6G09ImVzPbQIgD066IE96weJPT5kmT248Jk95LCTPYLHjj2xuZI9jliJPbWIjz0MO4U9d66IPVDwiz3QwY09Ny+ZPV1ZoT2iva09sXWwPUcYoD1WN4U93y9gPepVVD38BlU9eKhPPQe1aD2rH389Uz6CPeChdz0wU3M9jaR2PWjBbz2P7G894L57Pe7HiD1sfI894rWLPZMDhj37v4A9DfRvPae0dT06u409bdGePcS2lz2gZoI9z6BnPUE0ZT1tYk89a75IPX5uTD1U0Fo9xa9UPQ5eST0RAUw9fXZMPQnXVT2IXk89PjtfPdtaZj32i28936dePaZ7XT1Qw0k9J/BCPVO/Pz0l10U9FbU8PRCAPj3KclE90QpbPZUtXj0YGDw9tK4bPaZgFT1HayU93mEoPdwzID2QqCw9QGElPfF6Iz2OUTo9pfBFPVmaPD06hyQ9WIwYPSvbFz1o7A89KSgRPWtyGj3UMww9xdYhPaVdAD1DDME8TQy9PMcqwzx+Bqg81q2cPLu+tTzrE8E8NTDEPE/+yjzl/rg8jserPAHMsDw8Gqg88lqnPInMqzwBzJg8EhumPI+YszyOq608LLqwPBt+qTxJqq08fi6qPF+0tTzh47Q8Pzu5PAR8qzyR87A8gl22PDSnsTzc4qw8SIC3PLeQuDw57bI8Q0q0PDBZsTxyrsg8JEDPPBgK0jzeDgM9THDfPK2ZzTzsTd08mvbYPI8O9zyLJgE9Nt4SPewwJD3sxJc9H17UPbNR6T1A7/E9wbGePTjBwT2N1vg9fZcYPg/bHT7C6xw+LdwSPoxJED4AWxI+LR4dPokbFT7UCgs+m7QMPhYNEz5B1go+lqcFPpv9ET5mrg8+WgwUPpB1Gz61ISA+HesOPrY3DT6GURI+gXYZPgn0Hj6Trhs+udQXPgiBHD4H6hQ+jaUJPt8wKT6JeTQ+3OYqPtBKFD7N/SI+yewtPt/iQz4FOzY+hS8lPvxSCT69FSI+Wxg/PujhOz6oVC0+Z1kzPj53LD503j8+Jxg4Pjy5FD50tCg+JsA8PlwjOz7w00A+vuM8PtP5Sj6/oDI+ahc2Pn+qOD5uMy4+M+UgPlJbIT49szQ+eNA1Ph2+Pj63ODE+xdkkPrliLD4p+y8+kichPh4FLz7ytUo++LU/PhS0bT5waJM+Fpo2PmpFIz7jUxY+BpAePrF5HT5aAS4+V1JbPoRBOz5LRiE+GWY2PnU1NT5Dyyo+tDcaPijBLT6V4D0+04M0PqoZOz6vcj8+WBlDPnvKQz4WQEM++JE1PkdFJz4aICw+npEqPlV2Lz6NXSY+qu0ePm+yHz5u4xo+YRQxPjm6Tj5X+1o+Z6ZhPmBJRT4OTCE++qtsPhtfWz7ggCA+MV04Pi2PSz4r7UQ+53QzPgeyLj4Unj4+2BRtPupodD6o12o+N+w/PvziGz7kdQ8+9+oYPkj+FD7/DyY+y7IaPhOyJT7kZCU+9B0lPjPwIT4NBR4+d+QqPi96LD5ktSs+oKgqPhTgJj4M/BE+B3gUPoIMGj4mazE+S749PhoNPD67IDM+6zojPsSjJT5/cCo+lqo7PtcTTz42MDk+kWgcPs3DQD4Af3U+9Sg9PnCkJD5F9kY+cWRYPqBFPz6+sik+LD4aPrDnHT4hwBY+If8UPnsKHz6WxQ8+IqkjPlvNJD5CzRU+270cPhOwLz6K6yQ+Z1sbPjW0HD6GXiA+/mcqPhdbHD7f9RM+cFkmPqV/OT5nVjk+J6wuPnfjOj7MfS4+LYkuPpeJMD6KAzM+1c4rPmsRIz5kjh0+hgkmPk+bQj4+VVI+tIkkPhYfCD524sw94mblPZJfuj36vq89hecLPkalIj6qkRBAWYzEPw16Tz5ujmI+lKxNPiMzfj6p3X0+wXZgPqKvZz5c+T4+BB49PlPvdD55XjY+s/U9PoEtWT5nIlI+aCdjPqGPbD4b2kA+6bfvPSQClj3TQk09TEl7PQoRgj2EY4Q95HaEPZf6gz1Z+Gw9nFltPT0iZT041F09xJh/PSOqgz2/KX89AZR8Pb6WYD3E5G09bZloPZ2+Zz3q63A9uFlLPQHaLj0Bhys9WBAtPaUjPD3sElE9kQlHPXczWT23tFI9IXJBPfZWPD1Dzjw97sZNPbz+Wj0ZtEU9PjhGPfgnOj2vAjU9MqRAPd03WT3ELHg9EL51Pbk6bT33mVw91DtkPdl9eT0WX4E9aQyMPcYvkz257po9cAySPYD0iz0Wf389ioluPebkZz0XHYI93CeFPYKyiz1nk4k97w1+PVtkcz2l1WQ9iuJmPRRpbT2qe2g9Wv1sPSHKaD1y6m89f5JwPXKkbz2WiYQ9AjuHPZmvhT1Hr4I9RZ5zPd4Jcj1G7HY9uWyDPdkMcz0rknQ9I3N1PVBqeD2ynIM9MfV1PQfkWz0+31M94vtgPSaigT32XYs98hqMPR9sjj1r1Y89nv2NPc18hD2Ig389x5uAPdo8iD1CgYM9PKOYPQ08kT3floU9TnSZPYHaqj3sW6k9BG2nPbTslT3GrZc9z9GsPdPMsj0Oepc9jJaRPXZnij1AEoE9RBt8PYLogT05zH89H++FPWqRkT0TPYk93P2QPcYEkz3uKnc9Ubd3PW1LgD2dbH49m5R0PYCJcz3FF3M9q3NwPUwMfD0lZnI9TEldPZQuWz1SQWs9iuN1PTw5dD1utl49BlVoPRX1hz38XYk9kOKGPc/LgD0e94U9GP52PQx5cj157GI9n+NjPZnPaD0ir2Y9WadTPVGhYj3P04A9VS2BPSctfD1rjG89e5xhPVrWaz0NloI9gy6FPetIfD2WXXY99ZFcPTIrbj1NPYQ9uDWNPeeUfj0CkGw9HQZaPRIRZz1G4IY9I6GCPd+kZz2rLm499Dx9PexehD3/Qo49n7KSPbNFiz1Cv4Y9xmaUPflyiD19hoo93n2HPcXdjT2xg5Y9UzeoPftqnj3PLYw94CCbPddNoj2o2Zw96o+MPb4ijz1EGJI9TZ6IPTxnhD0c2pY9x42nPexhrT1NRaA9Oc+WPZX8mj0Ds609YA2rPTZ0lj1q46Q9cLKwPRmsqD1hC6o9Bs+2PbwjpD0o5Jo96JWbPUjblT27Zp093zunPRBMpj3Ngpw9mFWUPW3blz0TgJQ9aSCdPX/xpj2br6U99DiZPSScjT20bpM9UxmSPfgNnT3s5549gpChPVozmz2esoo9Zh+OPSudnD3/Y6M9eRO0PdAFtT1XbqU9t1ujPezMoT1O36c9Iy2ePVORmj2XzZ89d82nPS7Cqj0qwKU9p1KrPRK+rT1zM6Q9YxasPZnmwT2c0bk9DEKoPUQarj2Hj6U9oTiUPSIkiT2MJok9kR+KPWCciz0h/oc916iMPb8loD2Sop09Va+hPTKeoz3g9Yo9+T+FPe4tgD2bz4U93ouKPS3IkD1d8I49Y/KSPeAwlT3FPpk9Bw6bPSr3lz1JAaM9g9adPQ3vlj2CvJw9Sx6jPVu3nz2wgpc9oHyGPWgbfD3iXoA9FheKPbB3hj3zo5M90v+ePTcgpD2hLbQ9O9KtPQkIsT2UKaE9aoeWPSmAlD140JM9/smTPVZUnT2kvKc91gSfPaSGqT0bZpo9yTCMPSImhz0Nf449mBqbPYGNrj0dlaE9KvSSPQMxjj3Y2oE94Fp9PSeTfD3+hns90uOPPQpIkz1Ns3w99gF3Pb2RfD23+YI9IF2EPahghj0BRYw93aWVPQydnD0pc5U9i/udPQ9tlj27xok9RKGXPaZOrT2b+ao9o1ylPQIOjj2GOXw9SBpmPbS5bz3Jx3U90uN9Pc0JiT1gL4o9Um90PRrKcT3vzWs9crNnPfnMXT0tFYA9ogKGPYechT3C0Yg9beqLPQx4hD27uoU9kYuGPUd/iD2HTpI9s/OMPYFlfD0wq0896kFBPXyAQj3UpTU9cANBPZQWPj3L/T49WAw/PZd0TT0sfGQ9OkFuPS/wbT1XvmY9p3RjPS9Fdj2iNIM95VF8PdwHcj1NIGI9HWFZPZ9UWz2x/E491nJLPbtyQD2Gx1E9zzVUPSKvND3hkSM9fAkhPbZzJT021yA9FzQyPW4SKT0zCB89VX0aPcSqID0rhkA9gJkkPcrhDD2oMAI9b5wEPYj6DT1TKvg800THPJ8A0Twrjr48FnivPHjGqDw+na88qgCiPE7/oDy5ZaI8lXurPIrKqjyus688x3SzPE3mqDzW3Kk8R92xPO/KozyWdKY8s7alPDaHpDwmU6Y8QTKxPNFmsjzxh6k8CVWrPNGBnjy9jac8Ob6lPOkOrDy/+ag8JHCnPGSxpzxkQaM8vvChPJectDznpr88PCq9POa2vTxgFbk8nLC6PIc4sDwHub88uQ/NPA49yTyua9s8sT7wPByj7TyvZOg87GHxPJOwET2If1Y9ZHahPRlYkj0qK709SyZxPVSrBD1gW+s8U7ryPC00Az2zOTE9doGrPVjACT5kgx4+TOgUPpP9FT7v7yI+ox8nPjA5Ez6KZxE+iUsUPk8fET59cBA+WMcTPmusFD7/Bho+7OQRPqlGFT7LBxs+wXIPPu5NFz7x2RU+t9wUPtOdGT7dgSQ+XzEkPk5DGT4vTxQ+6agOPuOiJz7Rii8+1KITPhFqHz6rOyc+kWI0PiPNRD5dBjg+AN0mPol2Gz7xASc+eqEuPoGIKj67hSw+ea9DPvQTOD6pADc+2zJKPoWwHT52JDA+GF47PmKnRT5qfVE+xplFPv6VQT784C0+VX8vPvY5Mj4ebCU+ODs0PijHMj7Znyk+1IEzPiIBLD7fKzU+tzE5PvHdFz6VVAs+1cASPo6TKT6Z4kY+8zI9PuoHVz5TREc+LwckPvOhQz4qTjA+M/kWPnMUJT5GMxs+QuwlPiFXGj62dDY+Ra5bPtLnXD44XTk+PYUWPvumFT6R1TY+8i5fPheoVT6jITc+yAM2PrikQj4Ktik+tOohPgEFOj5GLTk+68whPttZEj6XcCs+1oAnPno0ED7S3js+REdEPlnZRT6NU08+tWVpPu1lXz50DCQ+Jr4pPowjMj5QljM+rcxbPvT+iT4iaFo+hOsrPqvWJz7KQR4+/lY9PoGUtz5ryKA++PdDPpfmEj40JxE+mEgkPiyqKT7Mzyo+kRA5PlLQMD68XCA+GwYcPk80HT4JdSw+eNAwPsezKT4c2i0+VGs5PkbGQD4TNhc+MqsIPszhED50gkQ+011NPnfzNj65uC0+JEgtPqvcJj7l9y4+9iQzPkT2Oj4wOzA+eeM9Pgw9Nj4lDBs+BJgtPv0DRz6YsCQ+t91RPpjZUD6pOUo+hv8rPlhGLT640Dg+A7IWPlWKAT7XwOw9bM0TPpvQET6pjho+U1knPosOIz4XYSA+58AjPuAqKT4poDE+ueBJPvs7Mz685Ro+oDoxPuK8NT6kbjQ+yTsmPtPOLD68IDY+yhE9PjK9Kz5LRho+encePjxiDj6GcRY+scMSPrrI3D33/Zw9IgMNPayN1jzlVsE8YxnlPJbL/jxlGQY9AR4PPVXyLT2dPmQ+nF5TPl2sDz414yM+gMBmPputgT7CpmU+ytFjPuR+XT5LXUY+NO09Po67eD4AWWI+CpxZPrSAMj4ioBI+MDzjPVWSxj1wFGs9dXfJPHpmmTwXlrM8wPZzPUIkfj0ZmIE9yeiLPVZBhj34eYU9j1BhPezeaj2j/nY91z+DPZnrhz0cbHM9+5loPchrVj2eyEs9OhZaPbCTTD1jKD89mF03Pa4PLD3Doig9Gx41PVmQPz2AS1s9rO1ZPf7KST3ROkg99HJHPeFETj152mM9Oz5+Pf6+bj0yJlc9fUVTPQyYRz37mE89imdbPaWqYz3lFlc9JMZTPaOAXD0n5HY9aBl9PerkjD2PE5Y9s7WHPUW9cT03Amg9j/NgPdZfZj0glXE9p3ZtPUkzaD1oWnU9bAp5PdhZhz0lZYk9QRGTPYrklD1+9oI9N8B5PXLtfT1QWII97XSDPd1BhD1u3XI93CxfPYKjfj3NEYk908mLPZpMlD3CcpE9UIiHPWFGhz3oDYg98gGCPdYGhj1QsIk9ijSHPfsdez30m3Y9NoZrPTGOcT0SkmM9Dot5PXJzhT03yX09lNqAPcbbeD2dyH49XdyDPQXEhz2zRY89ySKYPcF/lz3qU6A9EMquPXgMsz1rYZo9p3qpPTVFkz0JT4E9jW6APVSAhD3DfI89uumTPaiNij3W7IE9jFGBPWX8jD35Do49bWaEPdfxjz3yAZc9wxuRPayIkj36W4w9AJmUPX5tjj0B8389mV+CPZS5iT1FI4w9un2SPYyNiT1mI4w9NZSPPWGzgT3AT1098lBkPWCTdz2wunU9tVVtPZlMcD1VgH09AR2DPXL2hz2lMIs9MwORPY1ApD3Lo5k9lq+EPSCcgT3jMHw9xCBuPbIzZz3yQ2s9wQdXPRF+VD11o2o94AZxPS+2bT322F09ZqtaPb5wdT26sII9TlqCPaFfhT3WBYU9Pvp6PfUKij1pVoM9CZRuPUKlYT3L4mI9+dJnPWqMaT01nXE9KjZjPQ/4cT33EIE9UUWBPVC3gj1Ux5Q9NmeYPYS/hD3oEmM9z/x8PTRbhj3XSYo9qcWYPTLvlz1Q1pM9iqGRPY5Kjz1NnIo907OVPcV2mD0lzJY9IviPPXvFjT1fEpo9GOOWPc8Yjj2p65I9kQiTPanLnD0Ik6w9kbaYPVUFnj16fpg965GaPeC6nD2NUJo98XOkPXclqT1IHaM9+JCrPVainT3prZU99ueVPQXpoz2lbak9b+2VPcyikD2q05U9MLWTPXfalz1Kjpo9+PmUPVp/jj3jupg9bLmdPXUCmD1ft549VZKbPU+Moj0MHqc9l3qiPa2mpD1RmZ49pFabPVROmT1bDJs9nkmaPV5Gmz0qIaY9cI22PakWsT1w6Ks9GuywPeF5rT0as6o9d+a0PRAovT3Qw6095kKsPcYOqT2m3Lg9wN3EPejfwz2YmLE9VoCjPaYAmj3/qoQ999p0PfwpZT2CW4A9TMiPPUj9mT07iKc9iMqbPepXpD2qnKk9E9KhPeCMlj3ISok9rux5PUtjaz0QAXA9zQeIPZdClj1K8ZQ9nbOcPdQSnD1kZp89vVS2PWt6rz2qR7E9OxCyPc8IqT0QaZs9pQ+ZPea2iT1pBnM9/hxmPSLjeD28FIM98gGGPUfTkT3hlag9sXazPeeZqT1MtZ49TVafPUHxiT0Q5Y095aGdPeLcnT0UP549W/SmPRGjoz0h+Jg91zSLPSlhiD0MU4I9Ws+BPeNfkD3Xwps9W+ifPRrzkj1F3Yw9+ShzPdLTaT0TKWw98+R8PQGqjD3ctpM92gCIPZichT1z94M9idOKPXzrhz0TDIE9CaKMPefglD2UK5k9q26SPTKolD34R5Q9v9WZPUnHlz1itpI9veCRPTzfoT15S6g93HaaPcv2dT3jRlY9q/xaPWoCWj2mYHA9k5KBPQ0Mjj3xpYY9VgeAPffvgT1iCYE985hvPS4gYj0HW2496eKFPQwMjD2UYJ092UqYPWdyij0Jtns9uoxzPZ/tgj29ZoI9ESR7PUAiYz1Ag0Q90VdNPSpLWj3+y109Z/hfPSAhUj3uUD899O5HPfBGaT2UH249Pd9qPcx6az3TH2c9lqR1PUPmhT09FY090VKOPaGMfj0+Ym09PR9nPTZnYD3KdWc9LbJoPbUFWD11DVI9bVBEPY2hNz1aXDQ9GJI9PeBDTT23T0I9s3Q9Pc3nHT3Vnws93UkcPfYSMj1Jsh49Vm8HPdu+DT3oMhU9eK4SPRgr9zzM3cI8Pc66PKQRtTzXq7A8svuvPAvguzw5ibE8+zW0PKrPsTwqybI8JbexPDs0yzymprY8GRaqPIMBtDyzkLE8r8iqPGY7qTyFJJ88QcKmPOiZpzxCX7I8Y8LgPIQ4vTy2sqk8OrTBPOCTqjwelLg8tuerPDIXoDwmdqQ8P8y3PPzTpTxuepI8bSaaPM6ApjyvdKc8uq2vPNf0sDwaK7U87m65PLoGtzyq4qs8KpKxPJmhuDzjubc8BMfKPOzR0jwMguk8UvsJPaHCBz3n7w0968BaPekzOj0KXwQ9PDj4PELJ6zykSfM8aw3wPJZw4zzGM948xX8GPZ9xKj1VyXc9N+fjPc8ZKT7FZiI+XLQfPpbqFT6rvw0+CrYPPr/BHT5/nR4+VgYePpScGD7xJRc+nGcTPnAdEj59KyI+JE4XPhq4Gj6xzhs+GkUWPt7nFj6Y1hw+Kd4yPj58Kj4y4BU+tyUQPg0KNT5hrC4+PqgYPq7UKT4yThM+4pAZPufdJz7t8kI+LMFMPp+mQT4GA0Y+MKYzPrdeHT5Y4Co+fN4+PpRuNj5flTU+gXc8PuodOT4WWEc+NQctPiniGT7YejM+/UUtPigkNT54ID4+sx8tPr5MGD4wxyE+CU8tPsCvKT4jSTw+z2MnPngNMD5GtWY+FAFdPvP/Hj6Tcxc+VuUwPh1QOT6cPjQ+/ewtPt+bVT7RSVg+Pfg/PjZpID5uCC8+Uuo0PoQJKD7dQR8+PbgQPkkeLD6j90Y+T708PkFIPj5kPSk+p0IEPpAaPz5QxHg+pcZEPt1TaT5+xj8+SyhcPkgESD5u1R8+6IgfPk2GID5mqi8+BpI7Pm1qMD6jyRg+j8wqPua8WT5GzFw+t+hSPgk1ST7gKVw+Gql0PmpWKD5dUiw+yFE9Po6iLD7wQRw+XCYfPhTBSz6ER1U+w7hpPq2lXj7zTGA+Xf5gPspboD5fmZs+bN1JPk8yJD7FvSY+3bAkPnGkJD7BCTY+ZtpEPhJeJj4euRU+v6IKPnQ8Gj7RFyg+pSw1PtwYOD4W/jA+Hz0wPg7ehD6FrjY+Br4TPlYSED6irjQ+TP83PqBYIj6fSic+QitBPk6ROT7GuEA+WuozPmzTPD5RAUs+Ji9YPs/GSz7XIjo+1nAtPjEVOT5a3EQ+Y8FNPneELT5uMxE+/WX/PbeMED7zMzA+4x0fPgfNDz5F0g0+AfAmPvGAJT6lKz4+UHc5PsziLj783xk+L/giPgU6Jz5EkDk+8mo/PpT/Jj4LVBc+qwsWPuphLT77sjI+x9QWPvRoKz7EU3I+uAUmPvN2/zwfLqA8ChWhPMBDjDwOH4w8+JrCPKZ42zzwAbI8HN+uPIO4wjw0nc48mmvSPPOCyzwfHN88HRHlPCmO3TxhR+I8J5vhPHZ9BT2lilc9uX5oPgcPvD6/NF0+Djg9PlnzPj7KVS4+afQsPinlFT5N47o9FigtPQJAwzzXhrI823bQPLBwzjwXPOQ8+sHnPMQW7zyw8+o8zOWOPYGekz0JtYM9UFKKPZ3Dkj2WyoE9ZfGEPWhuiD2yu4g943OJPe7AeD1CI2g95UdVPac1Tz1bp1Q9CINXPSIMPj0yjkI9QOs9PSy8Mj1A8To9Vyw1Pce2RT0h91E9sGNUPbiMPj0kjks9v8BjPUxqUj2z3l09cHpqPSPucz0MbWU95zZVPbHDXT0Cy109jTpdPSFkWj2R8109gC5gPVzgbD22bnU9oz92PY40gT2Dhos9WqlzPRRLZD2DX3Y9cBNyPU3QfT12DYY9xo+BPaNngD1ahIc9nVGMPVV0kD03RJ092CGYPafYgz3VxoY9zhB/PXOwiT00pIw9XO2DPfAgaz1P0HE9UQaAPfWnkD29Wow9KnSKPWFnjz024I89C5KTPatRkj3rSYU96B96Pd8Jij2DHZA9i/OOPVJLiT1/SXE9E9ZxPVbYdz0GFGg9ny9zPajIaz0P9m89WsN3PaDiXD3tSm49zOV/PXupfz36SHQ9wV6CPaTqmD3itKc9s6GlPWA5oD3Wq5I9J3eAPZ7Yez2G+3091LuHPcXrjT3Fh4U9VxqCPV2igj0aLos9qKuSPRqmkD2sI3c9tvN5PV4xhT3mlJs9pCuiPRUwlT13toU9Cl+CPfPniT2oIoQ9c2FtPQtCaz1c73I9B62LPR5Blj1Q0oM9B62APSKIfT0oXHI9hQ+BPRJchz2zWYE9A6GDPfoXez2LgHo9Zz+BPa+Iij2jJJM9IvuTPee1jj3S34U9bKJwPW9aWD2yKGk9VgFrPYbkXj3Ks2Y9pwtSPSDSSj3vCVI9OZ1hPa4wXj0jp2g95kxuPaRydT0663w9lxpgPT0caj3SV3s92xqAPShScz1COGw9FuBYPS3FWj2Rj2k9EwJ6PbXBZj2wjFk9KNppPYBBhz1uFpk9vXSOPYwhhT2sDYg92bKHPR+Waz0aPV89ZsKEPVA9jD0fx409AXOVPX5MmT1CCKo90U+ePV19jD2Jvpg94eqjPQUUmj16PYc9aTGDPeWAhD2cX5I9OKyYPc9znz3YcZ49oeqVPaz6rD1WCaY9uwOVPfvTjj0oS5Q91u2NPfXSjz14DJo9mD2YPfMKoT1hy6c9ljqgPZ++nj2Mi6A9O0ibPZ3/lT1xMqA9qhehPchrlj1N9Yc95XGLPUWFkD1eTZw9vBGlPZ22mj3oLp09lNurPf+pnT2MW6E93i2iPZcjqD2eeK09R8CrPeN8uT3L7bk9vNKzPTYGpz0XM5E9OKWWPUnarD0N47M9xl2vPUIvpj38u589TBCbPZAcmj3QhrM9JqK4PdW1nz0wQJc9BmWTPdBumT2wb7A9QXbEPbCTsD14gZk9fA+HPfyheD05oXY9Erl/PT1ShD1jzYY9FCKRPaOwlj0ZtpU9qu6iPYAiqD3MJKo9nkiXPX1fjT2htIY9s/h6PYgRbz0cO3k9rvqMPe2CkT1i/aI948uxPa82tD1FA8Y9NYrAPXeGuT1Du6g9Wq6mPYRDsT3gf5k9NSqXPV7Oij1Ec3o9ccx+PfSPjT3okY49wQqMPcKwkT0S+549U3mmPfk7oj0ha6E9uOmiPdNHlT3EO6E9gAC0PazBsD0KcKM9k2CXPaLbjT0jOog96NqAPerVhT3eT5A99nWRPZGcgz1OsH49VDOFPXzsgT2Pu4E9eJJ9Pd0tez2tl4o9+D+OPa8GhD0anIY9LYuTPVe+nD3xG5k9z9ySPe0iiz0Hg4s9HOaTPXD3jz2lpo095RmZPV1RoD2c8Jw9JcWcPUzwpD3fUa09wmenPQ0jnD1Vt5c9sfOPPefUij3+wm49wdFiPeBMfD1Gc4c9FquFPb6Iej1WtmE9J01mPVJMeD2zgX497ZlwPXOVhj0C4oM9/zCLPWgKiz3OE4I9poNrPbFuYD2UrGY9mpdoPRKJdz1zRHw9HJR8PQ3siD1+Ln49OS5xPX1ZdD1jJ3Y9lMFwPffTWj1yyWI9qPBaPQ7RaD0h+W09kbR4PfX9dD3M+2s9FiiAPfBaaD1Em2U9ceZiPZROcT1ZaXw9cfl8PSs7gD1lxX89e4J6Pe4MWD3xH0I9FsM/PQbhRT3vDU09gSVLPRr7Qj0H2U494ahTPYLJRT0blic9g7YZPRTVET05Sgs9tMANPRouHT0U1Bc9uqEFPa+Swzy1mKs8zmm1PN/cyzygKsY8bgq6PMnGtjwVU8A8c2/QPLPxyDwWrck8DKSxPIIUtzx9yas8ClWhPB5Huzxkicw8rW7IPEjDnzwnlKI8q12xPKMD0DyPf7Q8ZDC6PGgSwDzhJqs8Ms6sPBRkpjyjgaw8+AWvPJpbvDxMtrA8EXq7POLetTzzFKE8LuajPOm3qzzDIa88zSizPAHIpTz8WKE8yn+2PE3UujyzcLc8GsC6PER1vTwVccI8zb7EPMJj1TyV3+E8FH/lPEr76Tw9pfw8gqv1POgC/TxCFwQ9O0L3PGSy5zwMYOo8HfX2PJAEBT3STgg9KJTmPA5m2Dzx/jM9nDyFPVoxAz7GRiM+rhwPPlELHD4G1gw+KnQQPm9uGz7INRQ+f7sePkTPKD5K5hs+HDAZPnf5JD5d4SQ+ZTMTPl+4Dz7WgxE+AWIRPgUvHz5TuhU+N2cZPlfWKz6bcUA+fpUYPh3LFz6hWDQ+Y1YuPn0mCD5/pgg+354/Ph4sOT7X1i4+T6I0Pqy3Oz4d2Eg+B+RQPkQdNj5Zxy8+xfpQPmjGMD701TI+5EIpPkP3Mj6NejE+8u8sPvPQHj7SUBk+qYoqPkJZIz5czho+jJAxPk0RRj7MWzM+xvIpPn+gKj4eUik+zl0fPodnKD6xGjY+r1FHPkz5SD6rLDk+N5ctPoqmNj4kniQ+uvgjPu90Pj6rVUY+0HoePp7CET5W0RY+9GRPPmuJcT5+aTM+BnkcPgo7OT5WBzY+PNgtPrd8MD6DsSc+N6IpPnXzSj4EWGQ+LKs1PmCdTz5q0TY+KgQpPnuKJD4MziY+H9MkPomGMz6AMSk+4/U7Pm7IPD5DZjs+D7JAPrPaez41LVo+AuRYPu3mZz7rToY+zFFSPuajNT7hvTc+u4wkPgLpHD4N2ys+iT9DPmtvIT4kd0c+Mv9TPqpRUz5KVYM+imKEPpBvYT5WMHo+PCWIPpBwMD6xhhk+E9kiPtvYGT4DGEc+UWxLPuzNIz67JhE+XoUVPjytGD5GVxE+P0sbPhEkLD6PlCY+7IsnPgtdKD5SmyE+o5YLPua2Gj6/ITI+UToxPndsJj6p6iI+QkcZPt8MMz5ifFE+xX40Pp3AOD79UD8+PygkPh5QPT4OGUI+OeAsPlXsKj417js+UR44PlEUJD7nZP494O3FPShcGD43k0I+2ehKPmp1JT4Oxik+TXREPnH1QT4n5Dc+ccA2PjdSND7pDSQ+aXssPlzSbT4xSpk+n8NXPqG/jj5WGyI+EXcoPnetHT44KTE+r+EcPlcFIT5J0ME9fbvyPEr0ZzzK5Xc8aEqOPCi2jjyJhJg8FKmnPDa1rjzP5L48V4XRPBzp5DyHIuA8UnbgPBm72zzQAuU8cCn4PLysBz03JgQ9itvzPHUZ9TxC5Qo93PLaPTpIKz78ySM+jMcHPkk+xT0QQYA9wg46PRdfJj0hptY8zWK+PKcC+DwRLCM9SZA5PSSgNT1kszs9aV9EPZ0yNT1rkjM9raaFPcdDhD3eDoI9n8mFPQwWgz2CrIs95zSNPbGOhj2tJ4098oCCPdp2cT3wW2g9lSFUPahAQD23fTk9cs5KPc+ITz0LPVY9SHhCPa+QQT0pNDk9vtIvPROKPD2n8j09M6ZAPehESD1LS1U9UTlZPen3dT2+6m4906dwPVu/aj1W2FI9AcphPQ8dbj1g4mY9qeVxPeuKbD28O2k9R6h8PbvKfT0ASns9xCx0PUXodj3EP3A9JDJcPaUjZz1q02M9vrKAPQ6dhj1pW5k993+bPerpnj1jOJs9/JeVPc+Ylj1PMp89vYOTPbDjgD18j289gZB+PawkeT2bZ4Q9TKh1PWowZD1V1mc9eMmPPRDHoD1AxJU9XrmQPQb6ij2KWYc9/SiEPd/PaT36KGA9HgNsPaFbcT0f5oM9DUyXPf6Bjz2qAHw9ARSBPe2FdT1WAnk94wCHPdq+hD3BLWo9D+5pPVtcej2TLX49Ob1hPZU1bz0K3nE9xTd7PRtodj0FQYM9f0qTPeULnD1Qk4s9x6mBPTVPhz1WmIo9/zuDPZboez3Gpng9X7R8PZ2thT1wIoc9nsSKPcQtkz0O4pE9LkKPPVOUkj0Q0o89hCGOPSgkiz22g4g95+p7PfzcfD1AE4w9BkKEPWDqhD1pE449/J2WPU9EoT0vYJc9zF2LPcRngz1+lno9btpxPYMYfz1coYE9k1R0PVo6dz2XK4k9V1CQPXqUiD3v3449U/qWPaLahT2v2mo9K1diPaTzZD2IC3499V1rPWIFTT2ep0Q9hhZJPfe9Sj2QS2Y99QdyPaleZj3pcXc9Tg1jPQA8ZT3vMnE97K5hPZVOaj00mGE9Ka9zPWt9aj3TMmg95N9iPVJaZD1IqXE9f2J9PWKOfz0TP3M993x3PephjD0JVIw9Bb+XPWfWiz0NY4o9tzOAPQc2bD3evX09lcyLPb7lmD0E/KQ9zbyvPdWesD3MTpo9XhGUPVT7nz0HO6A9r9ymPVsCqz2R65E95W2EPd6dij0bxpU9ZhCgPeyHjT3zvpI9Pf6bPaUanT3f6Ik9iRyIPRNXjz0hB549hhqTPTYwjT296Ks9N2KoPVJDmD0uK5c9cyeZPbrelz3FJ7I9mV6qPSzmnT1RlqM97VGkPRKBlz2CNIY9+smLPehwkj2aqp499Q2bPS7BpT0Bl609iNWfPR9hoj0t5qU9oOCaPecAnD2hC6U9FZu2PcuJxT1misg9Qqy5PcHQpj21W509n8KhPQhmmz3IwKs95PuhPa/llD2nwpM9iMOQPZMsjT09+ps9AZalPdi7kj1jWoo9gtSDPcJkjz0qiKg98iSqPaVqkT1wDI09Yr11Pd+2bz04+oI9W2CPPc0Flj2whJE95yiaPbx0jT16MYs9tJ+jPcgIqj2sUJg9dXCAPbsscz3HuG49zrZzPYDlgz3CTY49dDOkPVlbqT2g4649tZG0PXZGwz0AJsc9agK4PfCHtT2PvKk9j66OPY84kT0ieY09qvaHPYcuhD0GUYA9DoeMPYxWlT3zXZc9ujaXPTlFkT2BPJA9iXGNPeI/lD1LKpg9l3qmPfNqoj3FYZM9A4mIPTB5jD1Bwog9m0eBPfdweT3Zzl89CQZyPbQCnT2Gr5w9ApaYPbmwlj3LdaE9QJmPPRobfD27gIQ9s6qBPSgMgz1enYs98b2EPdwhhT1Wh4k9L0yXPddvnj1A7a09nnybPQg7gj22poI9cx5+PQ1HbT0XoYA9PvqPPTC7jD1taow9HW6TPTbroz3ziq89PBaVPZmRiT3EPoo9YoaFPa/ggz2tFI49Y1SVPbkjjz0EQYQ9bt5zPTomaT2GA2I9iG1vPfgidz1ZVHI9dKmGPUkrjD0ZtoU9CPeFPSUydT1mgGc9aOFXPWlRYz0FmYA9lpKTPaWlnT14apk96nSDPXzIij25kIY9NG+LPaxrkj3Lb4w9GVN5Pf4PbD2EAnY9DqaAPRSodj2OKGk9A3RmPRMUaz3Wf3I91qxwPQ8TbD1MKl898GVoPWzigD1A2409drCJPZZPiD2Mf5M9SwCKPacFdT1khV09hoNkPTlnVz13BlA9iRNPPTPeTD2u4UY9LZ1BPcinOj0CfTM9YHkgPe0+FT1ZBxM9s/gXPcL0JT0oXiE91BgBPZfI4jxbjcU8WBfBPPX3xjx9lL081Na6PLQetjwrgrU8Ho3DPJsVuzwCgKE8lSKnPEGKvTw/+ro8YZa3PJs8sDzvFbQ8ZHOyPMjhqDxNXKo87mWvPJT1rjwPHL88q0OyPPt+sDz0D6o8qAKbPKF9mjygnrM8Y4G2PAkXsDyLM7g8cemtPM+7rjydeq48LYi9PE1qtTyAnKs8W1W3PEEYwzzTR7Y8uoO9PGCAzDz5JMQ8t6i2PDYTwTz14Ms8kavMPE9F4DwRzNM8NmzTPNgi9DwIWvs8a8n7PBKA9DywrOM8FpnhPOaJ2TyHeNc8kG7vPKqJBD3w0ww92j4EPbK4+Dys0h49lFJCPfQTaz2xvgs+624iPtCbID4vtxs+H2wTPtzRJj56hy0+eHkdPtaeGz7KxRc+asAdPnPzGj5aNhw+yywVPnPPCD5A6Ro+NbAjPgpeKj71jk0+nOxTPngzUj5sFn4+NMdWPjGvFz6ZBhY+sV0bPp0/LT69Iz0+U/k8PoruPD4k9zE+pWYcPrN2HD5ZXCI+KTIwPmi6MT75f0E+8NBkPmq6MT7jRBs+oOchPg6ZJj5xgB0+pHAOPhX1Ej6+pQ0+RMwWPmDlJz72hR8+fzcyPjzwNj6zaCY+Y8AqPhkDQz7eLCQ+MK8WPjV7Hz7iXyI+qV8vPlkgOD74L0o+Gp01PuAQMz6jYRk+wbIJPlZGDj6r1DQ+9Ec/Pm/NLz7rwV0+m+ZBPjwOJD6fVEE+O9ZPPhSTRz41HzY+MtAvPvDxIT4jURk+MKAoPiISMT4KGCU+BrYuPlNBLj5E+yc+uE0sPtlQKD41Siw+FGgyPrPpMT56kxg+puEyPmvHZj4GZKQ+PQtXPnXjOz6U/kU+If8rPhdgQz5yUUo+dAI6PsIfND7ocS4+6n0iPsNIIj7Jxyk+r+ZCPpyzQT7T6B8+gnUlPsPlLT7nejI+kFY+PjPXRz5cQVE+MnZePqCgGj7C5Ao+pR4mPsbKKD4EoDc+R2w1PqAwFj54CBI+KZ8TPpkCFj6VTA0+OSMGPr4pLz6oWSw+gRgpPptwKD4IdSU+QlwxPk+KOj4gN0g+VWwtPjgVHz7wDR4+UMcsPuzbKT4hwiE+QnkpPlFhFj74IxI+Tl0sPuG4Qj7WBj4+Us8bPhOaMj4OGUo+dqg+PjgJRj4IRTc+3X8oPjd+OD6Mcj8+WBZFPgpKNT7B2D4+wmUxPnyXPj7C1yo+60RCPnQQRj5BOTg+hFo9PpTVRz5KKFA+9YYoPr/SLz6FuBQ+WsQqPig6Rj5sRTQ+wW8ePqHjDz4Fm/U9xs9oPdmPjzzFDJE85tKgPFHEozzZlbA8Z7DBPFyUtzzfXbQ8sX/NPOnC3DyCjeM86rH9PCcm9zw3fPc855EDPd70FD0BcR09aW9HPc0pQD3gUBM94bwuPUFURz0uAEk9sag9PRppND36YSE9gtUWPaDcKz13FSo9Zy4WPWIlGj0utCs962xKPetkSD3/uDw98ag6PYHSPz3z+EI9OXuJPcW+jz0ebZM9V4CLPR+3gT3sOoM9JHmEPT+LhD0jFXo95MRkPQ4RXj0ZV4I9fP9tPStsQj1YT0c9T6VSPUGKNT28qUM93zJLPVOqTD1AD0s9pcg4Pcd/Sj1GJ0Q9vgNDPZvTTz3zwFs9koJyPVx2Xj1EOkc9SQZUPUD5VT2kGFw90zNsPYRpcz2Z9WM9tXaEPYJfiT1KuYM9GEGEPcYrfz3032k9ZFVdPft5bD1fiXQ9OdxxPUfneD17DIs9kouFPWyfij18lI89/sGRPRjnkT3L84w9MtiMPctzkD3fG5o9VPaQPXtXfT2w54Q97P+BPfgvZj1yaGE9BQt2PfrvgD3bhIY9eJiTPf1enD3uiIY9TN14PXO1az0fq1092pdoPSohfj0O9II9a9GZPRupjz1FAIw9GpmLPRTNeD0GHoE949CEPR6Zij04CYw9ik+EPVnUgT3Epng9mCmAPYJxhD14W20972dfPZb2cT3V7349tyB3Pd33hz0OwYs9c5qaPTY+kD0W6X89SgaAPT3KiD0jxoA90Ld/PUiYjD2fW4895gaLPXcglT0u/ZI9x/GVPaqKoz09nJ09OZiGPX1nhD3eL3w9XFl8Pe51hz0uQZc9bMqjPS8miz0hWYs92luRPdW1lT1nMaw9u5GkPU+clD0/DII9AmZrPXkNZD3p2IU9KAaEPUg0dz2uAYY9zUeHPZf1iD1my4o9Vcp8PYa5aD0dqHw9HUF8PZl2lD1+AY49EFuFPeg5bz1VXUo9IKtAPSd4RT1acV09PEJvPcimXz3OIVc9DsJVPUXXUT32r2s9FnZ+Pd92fT2NsIA9ICt4PRWXbT3zh2U9AQVpPabdhD0h7oo9co+FPWYPaT3RBn89Kp2CPWAXiD36XJA9mSmAPQVZgj04ZHo9XTaHPRh0cz3x/GI9jQNWPUEKZT0SLns9utx5Pcx0iT2oRaI9N5KgPd5Ohj21GIA9M9h7PTHHej2Es3o9PEmRPRqVlz1PMpU9qIyOPXdNkz0i7ZY9EeCbPTKTlD0zHJI9jvubPT63nT2IBp49SpKaPQq7oz2thqs9vsWdPQSsmD2Mgp49HM6tPX3TuD1GLrE9OIeuPQslqT2UL649+2GiPVG1lz2zq6Q9cBCqPdmpnj3ivpI9NHSOPd6Slj3MVZo99s6fPSjpoz0Q05Q9zpySPYIboz0f2rE9AtiyPZVbtT3537A9j9a1PSu2sD2bxbI9woiwPRPhoj0NuaI9yeelPfDmrD2TxZ09/uKWPbIJkD0lT5g96OeOPc2tjj1j05I98k6XPdb7lD2ZDo49QqSMPQZkkz07R4o9c2GFPVdGhD3GV4k9+nKOPYMKfj24AoA9GT6JPaWskz1dwow9LxiHPW7hgD00y4s9e5KfPRT2nz0nhI496eKCPRs8cT01UGk9LWaDPXAklz06cJ49U2qdPdyQmz1X3Zg9IyWhPbk+nD3H+qc9MfyqPfRurT17w6U9k+OKPTvyej0ow289cNh6PQ97jj0wA5U9mLGXPRk7lD3JsIk9Lh+OPUJvlj04pZM97EKdPd16mz3ZvZ09IBaLPTjHgj3Q9Xw9cX+BPSYViD38aY49pzKNPbAjhT2TzoE9hLeQPUwdoT3PAKU91FSjPZ0WjD2buY492uCCPQVxhD2hFoI9Eqt4PTHVdD2e3Hs9X5GEPdrAjT3OvZU9ZueUPctGiT2s7n89u02CPQsReD09/Ho96Ax1PfVFZz1/w4M9Es6OPfBDlj1iL5g9xXafPeCGmz2r+IQ9+m5xPVQhbj20qHg94FdxPfMtcz059IE9Go+HPTVKhz3WD4A9hT5iPZTBXT2lpGU9fnuAPS8+jz2TdZU953mNPSichT0t9Ws9x6xPPQ4eXz3V6WQ9ko9pPY0jhD36ppQ9rDutPdssrT1NL5Q99yCNPXqEkz1jsIs9O52FPUCVgz3KnoM90+txPXkecj3EtHo9tit+PRcteD1OVX89kulsPUxrbD0ouHw9lg1xPV8GfD0X/YE9iECBPb0Xgj2u64Y9e8qFPU+FkD1N8ZM9FWaQPYWviz3XVXI94odrPUuxXj3tym094RhyPd+1dz1S6oQ9S7lxPWQ8Wj3/fFY9ieRJPZXHMT39mSk9Ha8gPVMyEj1oXgg97GLpPOJc+zyTbdY82yXDPLBtzDw7Lbc81BKjPB++nTztp7A8Z2m9PCKQvzzMn7U8G4elPHGJrjy3qrQ8ofyuPMFxpDyJfaU8s+yjPHVJoTxys6w8K6+lPCc1rjystKw8ud+vPL2wsjztOsA8Hj6/PPdttjxbf7o8dR6/PHAwtDxqHrY8Id+2PPF8qTynEL884cW3PF5juTxDCMs8b8TVPCou3jyz2eM89ijYPE8s0TyBNNM8TJfQPEG7yDyD9cg8HyTPPPuP1jy6Atc8oFvZPKYIAz1D9wc9/unfPKkh2jxYZ+I87EDUPIDW1Tz5Sdk8JdT3PM5BBD2reQk900gTPXNGBj2DgxY9/YMbPX7QKD0KiuM9KYw+PnUeIj7Kcx8+44YgPtTwKT6QKxU+kIYUPpdaGj7wcB4+KnkaPmFBEj7Z6xE+ylMbPnnAGj75HRw+EqsmPgHZID4wrEo+Hah1PgChVz4dXGo+4tBOPssSKD5OdSo+lVxIPto1TD4mWTI+g2oYPkHLBz7wWhw+jmUZPvx2Iz5Ru0A+I/VIPqQDIz7QfBQ+5dg6Pm+OUz7jKC4+x0U5PiT7Oj6+Xjc+dV0tPtqxNj7Syyg+ZfMrPo8YJz5vrhY+TVo2PtntQD7+Jxw+4JMSPsrjIj574Ro+9hAbPmlkLT4UkyM+1btZPoMvRj4PyCI+9bkkPtZiHT53LSw+L+ErPjTtKD7YbDU+4hwrPjGTND6VMR4+Ik4KPnCKGD5XqjI+WOdBPriZTj70qIU+teROPq5pJD5JWSU+SYE/PnB8LT5tGik+4/soPn5EHz7HZSE+F68mPuQJQT4FXFA+m05NPlcDJT6LWiM+KesrPkTQQT434lk+9x5EPthYPz4LAjg+paQmPh20MT47HDM+Zy4yPq68MD6DcDo+et1KPqfqND5p3zA+pdg2PlVCPT6LziY+BV80PjEOPz6Q50Y+pWYxPiUpGz5sLSc+TNg1PtTwJT5HYBA+DnM6PgaXRD5Jbiw+BiYiPrnYDj5LrQg+DKkSPmEXID7BDBo+tNU3Pg+1Oj45Dio+WnAkPrBIWD4bDjI+RDgZPtgdBT5uLhU+AWUoPgtOJj770hU+FTMnPnJ9LD7hVCI+szcXPl5PCj7Oxxs+v6svPs3OEz6vLx0+TOU8Ps0wYD4g2T4+v7goPspeHD6Ebyg+AconPuJwND6VEDs+Ss88Pg4CKD4sHSQ+AI81Ph+gNT6o4SI+bVsfPq5UHz5l5i4+JZU4Pm2rOz7XkzU+oJtBPoVPIT6xMhI+RKYCPlu0Az7s2/89Cyi+PXPVkT2/6Ao9gy2lPNIQnTwd1LQ8pKjLPLWa2jyYKds8beHzPG88Az1kZvI8oBTnPHHE9DxgrBo9JPIWPRcMDz0neBQ9EtMLPafXBT1kLBM94SEqPfdXMD1H+CQ9mYgvPWJbPT1Btks9x+dJPd7TSz1LQDw9NUs/PXAuQD3tcjo9kvdOPfqeUT1uJFU9E4VKPVYbPT3MGkk9Nl9NPeotXz0o7289bWWKPdDyjD0DW4c9r16SPYwUjz1TOJA9O7qRPdolnz3uloE9uWlrPS55gz2AjH49HM5oPTVpYD39nV49jftkPca2Zz327XQ92IBfPXXVVz2v7EI9X8A3PYYfOj3XskA99HlSPYvXVj3GDmw9DFxyPb4jZT1MfFM96jBYPWUgZT3uxGs9R2VkPevjaD2zY4E94GSCPbuphz2x6JA9ZyWMPRRrhj3azIA9W1SEPVwwiT2SNoE9/Rp3PXMgbz2at3w9q514PXmqjT3ynZE9/w+jPX+MoT3vDYg9EPWKPeSugT0KHIM9RSZpPaalWj3dpm49DNV2PejVbz27X4M9N3iHPbwciT1Zno49H++HPdKRiD3NlIQ9pgh+PSA9dD1yVIQ9FeyRPXtlmj0Egpc9BVOVPaxnhz1j2209iPduPcykgD0IqXY9pkGGPfzciT2OHnk9R3mBPXr0fj3S/nE9Th5zPcxaaT11Ems9mrJoPbSmiT0F+5E9PU2KPQRcjz3fEI09KRd/PVP5fD2DLIg9e9aRPY3GjT3m64g9C4CePa8dmD3ZqZQ9skGQPWmumz3PxJU99euaPZWrnz3C84g9R8txPTWTgz3zRpQ9Uy6WPXZojz0b8Yw9UFqRPVqXlj369I49UiWSPVqQkz1BvIo94ayFPZG7dz1XrHg90FaFPbROlT2S1oU96OR5PU2QiD0Qxpo9H9ikPRiBkT2TSo09DEuMPaQFjj1CL5E90UuDPXppgD32LHo9uUxqPWDPXj010Vg9Zl5cPdUTYz2NzVo9GfpdPQUvXT2Mf2A9nlNaPSMIZT0O23M9muF7PXLNZT0Cm1Y9MThtPZT2dD359X495cSCPZGygj2WTIg9qbVxPUSdaT3Wx2Y9k46APSTSjz1oZI49Y1eFPdgzhD2a/no96Sd7PVQuXD2rwlg9iMR+PfQrmj0eKo49EDOFPV8rkz27k7c9rLOXPVIjgT1UoXg9l5iCPbTtgz1ZTXU91rGOPaBLkT0Sd5o9JF6cPemCjj3RHJE9wIqVPV9enD0DGZk9dv6VPaIcmD3+WZA9SlOTPb9Wlz2Dj6E9q7yRPQxcmj01x5895GWdPYI3qz1S36c9LFugPer3iz04uYY9OxWdPTb5mz0rvp89y0mgPQONlz3GvpI9ZnaXPWrXqj01vJ49OQ2ZPUCklz3opZg9ujGyPZFvtD2zxqQ9gK2tPRLEpz1KiaM9xTuqPQRGsT2SWLM9xJ24PZ59rz0vfaI9u/WkPccSrD0DJKU9pvyzPcMJpz1MQZw96gmcPXcKkz1s7YY9/9KKPSV3oT3GbZ89OHeYPbzfjD2DBIQ97yF3PRR3gT2YxIM9lqmPPeDHiT3tAIs9dImSPVT8kz0+zJA94haRPVXFpz0KQKM9WZmUPY7vfT3kYmc9JYdvPdJwjD2WxYU99eyOPZdpnD3e96M9i2mnPWrzpT13P6M9wNWbPcGVlz1YV6I9SECpPRNjqj2o/5Q9ylSPPfbziT3FLYg9FaiXPS2bmz1Eooo9JjiHPRsZjD0lV5I9zsGZPZHXmz1R75w9XrOUPWellT2RwZI9MDORPUWolD2SH5M9oQ+ePYQ1kD1N2Yk9zSWCPVOngj3B+os9Sh6UPZMLnD2rj4M9CxhuPYZiXj0Wym89uUCAPZQjkj0KY5Q9/F6LPaCxhz3yfno9aYSDPVXojj0yOY09LeuTPQEGmj1qPpU9vZqRPf8OkD0Ja4Q99eSAPS6cij3a6Yw9FZOcPUx0oj2XYKQ9dqaRPdkBiz0b5oI9Yk1/PfzAfD3Ovmo9VsJ7PYVKhz35LIE9Ma6FPZ8xkD3qBZE9vIN/Pb/DZz2dgnM9pZeFPZK+jj2iSpA9WJF1PZYwYj3x01s92K5gPRhPfT1oV4A92a2BPW2kkD1XlZQ93M+YPVD+mj24Uos9zZp8PWNaZj1wdnE984CQPe/2jT1GxYc9oe58Pdfhgj3EwYI9tw52PR95cz1KYYA9CpxnPWEcaD1clWI9a0drPez9ej1A5IU981GEPS/efD30dII9Jp6QPcWChz1LWoI9oU2KPZEAdD2HG2I9LLZfPSrTbT0hvX894F2DPY5yaj1OomM9pBxfPZS2WD2XhDw9ljs1PcbiRT32TlE95iA/PVQ+ED05wNQ8qIW+PMinzDxPbNI8l/S9PF/+qDzWwpw84GylPD4jnzziEaU8Pb23PAhQrTxyq6E85nmtPGVOrjyTu7A81RejPMNQpDyjrrY8f3K1PC2OuDzEy688Knu0PExbwTzhs8E8aem4PAZttDz5uLY8KeC+PFtPwzyE4LI8vCvBPBQDxTxj86o8EB69PMKpvjyChbw8TIC/PBm7xDxg9c889e7NPEQO2zwbKvY8r+HkPPb82zwS5tk8RQDhPJjW2Dymts88OUnfPBRn4Txh0ec8fHLqPF6o7Tyq7988T/PRPIrJ0jyyH788B9rMPKfM2zyJAvU8L/ACPbA3Cz2+WBI9vCAPPfg5BT3HfOs8lPv0PJQXIz0mocY9tZg6PlduLD5TZRs+ogkmPk7vLj7AhhQ+NFgdPglIHD5QIhg+HfcgPuEvFz4R6xA+tQATPphTGj67qB0+cbEiPjY3JD4JtB0+NzERPqRLMT6DEis+EdAvPl2iKD7wDDU+hytCPgmcLT7JyxI+ctEJPuGGED4CkCU+NMtGPmr7TT69OFM+aYJGPjyHFT7NYSA+6nJJPl2rbD58iUE+bXJMPgTNUT4kQj4+fJwwPtwQPz7b8DA+SyE0Pr5tHD557Aw+MXIhPsGQJj662CI+RDIfPlqKMT5Q5SU+2NoyPtOcLD4B3SY+oyc7Pp9LLT4JpiY+y+I5PnYuMj6YPzs+ub5CPro7PT6iYyQ+poIePjwqGj49Ew0+JoEcPq19Ij5Q1Us+hjtyPpsITz61C5Y+HPNnPnLAJj41tS4+GXM5PrHhLT6meS8+gesmPoBFLz4BOiY+8UkiPrvNRz5V42U+2BhcPld9VT4vnVw+qg87PrUnIj4DokQ++tJCPlPYUz5p5i0+2ocXPnJKHj41RSE+SpUjPop1IT68GB0+9YQyPl6QNj5hsEA+rsMnPk/FOz74UUs+Wh88PtQYTj6s5VQ+e2U/PlUCEz78cQQ+ER8iPvKzMT4rVRw+xZY7Pqy5Rz4rnRs+0TEoPukNMz4n5hM+juIQPlyaQD5rM0k+vcVcPvKqMT6cM/o9nXwSPuJ7UT72Qjo+bI4lPr1QDD5rxSc+PUUrPpxYGD67gh0+d8JMPku5Lz63YyU+fOEbPtCmJD4Yn0I+J4wzPjrLKz6E5yw+I6wvPqUzFz6LbB8+2CEoPpv1MD4FUTs+cbA4PmkISD40VEU+ZQorPja4BD69agE+to8jPvLKJT75rRs+0nM0PnsMKD6VpB4+UpEUPoJx8j0f06g9hIiEPbrnbD2PGyQ9AtLNPN5XuDzd9qw8VLq2PGRjzDyBydM8A3zMPMmS0jxnefw8aP33PD1W5zyGnuk8PrD1PEKP7TxCIfY8jdUEPTugBj0KaRQ9t9ghPaRkJD227x49VKIcPQIiGT3hQSg9oTkxPaY/PD1Bi0c9KtdCPb/VSj2rD1U9r9VKPXl+UT16OU497m9JPal+Tj3oVFg9jVBdPbUzXD0H8Vk9HO9QPf16Tz0aCl49VllcPbPmaD1f3V49+WaCPcbHjj1gvJ49s+mmPTzRmj1cn5I9jEaIPfKUhD1zV4U9l2l4PZxqeD22t2I9E5JfPb+DWz03JWU99nFgPdZlWD0dsFg96zNPPWsdaz3qbF49jXFQPftGTT0tklc90KVUPSxgTT0g2149blt2PSolYT0O1WM9SPxmPT0FbT2mmHo9QMB0PX+kaz3qUoE9aeCGPQ8Uiz3sF4c9U7V3PX3Jhj3bHow95S6OPSqtgD1RKWg97hBiPVBLeD08lYg90h+QPeGzkD1XL4U9SbWUPfoGbT3WM3A9gBdaPT3WTj037109mJpkPRycdT04HYs9XmyJPQAkiD2WdJA9mtOOPcW0iz2v3449VRSKPRJycD15pGM92btxPQH4jT126pc9pUGOPR5XlT2W0pE9/tCZPZMxhz3NFoE9E9t6PYvecz0IrIs9WN2cPUsHiD1vQ4I9UGCAPT6agD0sUo89iy2APRF9fT3CoYA97ReGPdYZhz3g9oU9KM9qPfDDeT0EbYU9QOuHPWBMkD20Q5I9gUuMPZn+iD2EGnE9AkJyPYhKhT3uLY49VFORPX7smD0Zl409O8KJPcNtgT3fe4g9S9GMPae6jz2MuI89RzmNPa4mhj0tEpE9rwSXPeobmD3mHpg9sJqUPRhrmD3mwIo9wSaVPWfHgD0bU3E9B2R6PYeUkD1J3pI9Hr+PPRtyiT0NF4E9lCWHPeexjD1iQ5E9/Wd5PWiNhj3UppU9X0WMPdaVhT0zMoI9MuJsPerrZT2P6X89rjN1PeY+ZT1Ep2U9qOVqPZSrcD1ER3A9+9dWPS59YD3S6II9VoNxPXx9Wz26+VE9gEtoPb+DhT3fSG49jXpSPWDqVz3jC1c9oLdLPeeQaj1YCYI9QQKGPWs7fj12Gno9AZ9sPQSKhT2sgIY9ePCEPTs6hz0L4II9ljSHPSW7nT2BCJU9UuGZPSeanT2tXJY9jOmHPdgYcT1PjWc9aIt/Pe5MfT2/c3M9Iad0PRU0gD11QZY9dUegPelGoD1a3pU9pdqOPbaciD37hY89v52QPXRihz3iUZQ9y7eWPX2pmD38zpg9zLSgPW3UoD3r06o9VJidPdQhoT1kbZs9BsGQPYuTkj00B5M9HqCQPcfUij0pwow9ssmIPabckz0K25A9bHiZPTzdoD1WCpg9kTyQPTkumD2LR509cPqXPTyjmD2KJ6s9K72pPfUynT3VNrE9ztOnPd+sqj0MGsU9mSu6PYVzoD0nGaU9lwGaPZ7Lmj3Cras9HQWiPWO1qT1QjKM9TsaXPWJUiD078Ic9fs+UPUOmnz0ukZg9JwCRPWUehz0CdYs9QNeMPVSzij30mpY9AbaWPSjnlj3NeI09YbmMPXjDlT3up5M9lmOPPdO5kj1uVYk94Sd+PcABfj2ikno98feDPWv8jj2iN4w98w2UPQlMnj2IN5w9lAmwPXnIpj06rJI96qGbPUS2nD34v5o9PA2cPaCnmT1aR449Ws+RPX7XlD1KvJE9xseTPd5OnD3naqA9bxSbPaEEmD17JZ89ZCOZPRdmij3Du5I9MuybPYCCmT1I+pU93TehPRikpz3YBJQ9TqGDPd4FgT37AYY9UN+GPbr1kj3/CJs9sKeRPTxnhz35aXA9gD9ZPVgbYD0XV3E9pQCDPSiWkz0wvpc96gaMPYjxiT3al4095VuXPe8TmT1VcJ09ptqmPcVvmD2eeZk9CAyVPbvhkj3AAoY9OA2JPV9smD0uXZ09jiWiPRDxlj1RY5M9HjWMPWf4jT1yZ4w9R56GPd5AiD0fDJE9uiyWPViymD0q1Y89912VPU5Yhz39a3w9u/F7PavCfD1NR4c9+KGPPS4FgD2EuHY9quJwPRD1ZT0Usls9RldwPZ3ogT36hoQ9cYWAPQDliT0q1ns9zO5ePVWaaz340XU9MuRhPcz6XD3sv289kGSCPZuShj0MOJY94a6ePei7oT2owZw9xImTPShSiD3Yd3c9HX5+PbNpeD0HjII9aJKCPWoHiz2zL5g9UaOKPeNqbj10XHM9mk1qPUNpcT3FKG09+iN6PfuBeT1/um89uhZaPZjdZz0paHQ9tGVpPfPxbz2Kt2M9FRVOPXV9JD2feAQ932kLPWAbET0S0jE9chUlPWBX1TxIB7Y8oKa8PP5oxjz6abk8HQu3PCFbrzw5zaY8CR+zPIj7ojx3n6U8a+K3PKX8szwChpw8vP+kPKi2pTx12qo8lZqmPCvzmDzWkKw8v6qoPMcSqDxzArU8GJe1PFWAxDz4Gcg8KFq3PFD5pDz1pq48U2y1PK25xDxLVro8rgS4PC99rjy2A7M8uPm4PLyBsTz7eL08SLfSPB974jzrWts8cUTdPJLm5DyhEeo8wPfePChK4DwP8eM8VqDZPDax3jyE+N08hDrvPAYR6TxzFfA8usznPDH40DzoAMw8Zz7NPGiwyDyccME8GEXHPM663DxrTPI8A50BPX1NAj2DIw09BccMPQsFDT39ffk89qriPIgRJj2lbKs9kTUjPkaBNz4+eRg+tKglPpQAHz7M5hM+FdEZPqT8Fz7KOhw+PygWPudxFT4PsBQ+j2USPp6FDj6vNww+ckYcPtLyGj6k0Cc+0TgpPvZDND56IS8+eTAoPq1hIz4DoDQ+R3gnPjNxJD6Zbjg+Wf0fPuPLRz7L1W8+2kFLPrijKj5diz4+yzY8Pko/Gz4B2yU+SC47PkaFRD5P6Ts+k5ZMPrmJST58qR0+vHUtPtxJGz7t+yI+Cq0rPp1hHT6CGSY+cCswPtmHKT7N9Ss+Wf0lPj8TQT64pDg+gwohPjKTIz5gdSE+mDouPkyVMz5eqUE+hldIPvspMz5JbS8+mNIhPnEwKz6iBh0+KkEdPresHz7teSM+ji81Pj/OPz4R/kg+UzVIPrq4TD5d0Vk+Px5BPuSLJT5Jazk+cis7PqnVMD5Ffzg+Rog1PoQjNT4K/T0+n3AzPhbpTj6eTVc+9DxMPuRJNj7kXkU+Bxw5PoeyMj707Ds+Wx05PoY5LD7i5hI+7zMLPpJjJj7wSSA+7QQfPrxeEz5vRAk+S0wXPguqJT5cYUU+Ue1VPgZKTz5bJkY+loRHPk7WXD7atkI++1EvPpNPGj74eAM+RKAYPtpoLD62/TI+fEAnPqy8Oj7HxyU+jVsgPrRzJj4OCi4+FYQ7PhJrcz665mw+3Z9DPruuIT47FQE+grIaPgUuMz4gaho+qEY6PskJHj5VWCg+pMcsPugWDT6yPS4+KaxgPtZMKj7OMxs+/eYNPqRTKz5srkw+jHYrPszTGT5YDgA+looCPlpvLT73NSQ+Kx1BPhLcOj7y7i0+xzMsPmm6Pz4jOi0+GU4cPtKuyz25/Zw96iagPYmDlz10l4o9xe1jPZe2HD2RGgE9GM7VPEzPrzzBaqE85uGrPEsZpjxNcrw8jsfFPMH1yzz6x888zGfPPOtMwjw+/cc8FpHaPFx46Dzsr+08UXLtPHABCj3g8gI96sL+PH2YAT24nA49PBYVPbtbFj1s5B091AAnPVjmKT2VPS09pK87PdQLRD1AoT89n6VPPfPSTj3TXkY9+Vk6PZtDRz1lXU49Gn9WPWz9Tj00Ykw9miRNPck7UD3hVV09JTBcPcTOVz0VJFw9G3RUPZCIWz3832w9qrBhPTSzbj2y33Y9Fm6HPYN1hT0xno89rcmXPVl4jz13/4c91iKGPelAez3Aqm0950J0PXsQaj3Nnkw9V1hRPSZ0ST1Cz1g9+jFXPYX6Yj3pLHc9DQ+BPV5iYz2A4Gw9DuJXPbcTTz3SBkc9sh5QPXZpYz0tQ1s9PIBTPaNBYD0iE2c9br9qPXpPaz2iXV09n3ZzPUowkT2WTo49e0yJPen7gD3DoXc9lftkPdxQiT23moo96rOEPVeCfD21DFw9+YNkPSKwgD0/Bok9RNOEPaysiT0N3ZQ937KAPa1uYD19BFs9YCZMPXNdYT0w9YQ9mIOLPQvIpT2WZKU9rXCJPXz7iD3S7X89DfV5PUyjgz3333U9EAFwPa3haT3aOXI9rJ+NPSpnkj2B9oc9AYeQPQMCmT3MuY89ZdWEPXbMhz2HA449HACRPdxVkT26rJE9Nz1/Pe+2Yz38vmo9T2JvPS4MaD3WN2o9eyWEPUYzij0FEJA9MOefPeDDrT0LaJc9zm+NPcmrnz2elJA95vaGPazAjD38BYs987B9PbNWbj1VSX0998iCPZr3kj1S2Z096BSpPWEBuz15mak9mSKPPeeAkj0j45M9bDeWPUfWrT1Fqas9vuuWPYYnlz3Rfac95n6fPYtylj27HZE9U0eHPbOjgz0C4oI9Vfx5PZYXiD3g/Ic9L5OIPQDsjj2uAIc9NbSMPWFHhD2Mvnw9TSWBPQVXdz3iioU9gteZPdFbmD0kWJA9d9mFPXmicz0MF2k9+J+BPSIedD1Z+YM9HFeKPalqbz0qKnY9bMRrPUMCWz1M6Ws91Bl6Paneaz1G9lw9f+9LPTw6RT0Ii1c9cjZqPXQvbT2R9VU9ZtFMPXnjQj2N3k09GCxoPQ01fT2hEYQ93HSBPcOdij1y8Yg9RteBPZ2Ngj3ZMo49fMWQPZBLkj0RmZc9femgPaMZoD1Yr5w9FzOUPURndj0czXw9mvKDPUJEij0tmIQ9/EmAPRZpgT0VaoM9hWuHPQCWhz0HvZI9JtydPdrzpD0tYps9mLV4PVwVij1NpZA9VLCOPR95nT1EUao9+/6fPZhPqD0Vq6w9YiapPdXQmj0e3pw9khehPUhwoz0iK5Y9MQ+SPbjNlT24Rpo9XLebPQgslT0uKYs9OyiRPUMpoT1aK6Y9EfiRPcRilz0EsqQ9aWGoPd2anj1Q6Zc9OgybPfSeoj1LBKA9rU+nPbnzsz3LpbY9kXyzPf19wj3wqcc99ISpPZ4lmT3Fjpk98yWLPQU9jD133o89UPKgPdnkpT2B6JE9InaIPcsfiz0eLY09od6NPbxAjz08/Ig9xYmFPZmDlT1rKaM9WGu2PeENuz18pbo9ekSkPegdmT0zdZc9AMqSPaohjT0qCJU9mK6PPdjcij22/4A9zeaDPZf8gT0ToYo9mc6ZPdLcoz2YeZ49RKyfPWfzsT1R6589XqCOPTjMkT1omYg9sjSHPbSuij2thok93hCMPSRdjz0v+Yg9mHGGPTGmjT15Op49RLSdPT65lD1rTZs9d8iaPf6Emj2kDJA9v3iWPZm4oj0sNKI9f8eYPcdXlT0BKJg9YXOePUosij2jtXc9vatvPQ6/gT1sPIs9TUCPPXg8lz2TV409kjKFPdiBfT3QkIE9EuCAPf6HiT1894c9DsaNPUckmD1IfZ09WD2VPe3SkT2Y75o9aPCPPbyleT1L5YE9eQyHPfNohD2XZ4o9RGR9PbxJgT1qi4A9VAGHPevTkD3/AYc9y9SBPYK5kD0X55M9MEWMPZ8ZfT1+eXE9JChrPadNgz2kMZA9bBmVPfkEoz1k+5Q9WhaRPcPjjD2SEH096yVuPWPyfj33l4A9hg56Pda0bD3OB1w9LCBtPaMugD2W74w9VUKAPUHkfz1ArXU9U3J5PX3CeD3OSWo9pMVjPfz7cj1nrHo97xBvPUt/aT0wR289NIN/PdKRhj13UYs9sU2ePafFnD2ZqqI9ja6SPSRHeT2JAG89MZRsPQPWXj3dJXM9sO2BPXNbZz1v5Gs94wp2PcaVaz0pzGA92XdWPbD2Vj1Eb0g90ExYPXgCYD3pH2Q91ZJePUkbTD0Y3EQ9nJBLPXEEUT1B3B09FHUAPWc/2zz99LI8HKi0PD0LrTw7TrI8Wqm6PAXZuDwX1rg8hQyxPDjGtTyyras8qcKtPGMEpjwnYKI8dJ2RPFAnmzwUjaM8rv6iPOSIsjz7g6I8fgSfPM1YoDzLlps8DyCVPJtdmTy3RZ88rC6ePMS8ojwiva48++S1POUAsDzSh6o8qSSsPIwvqTwm2ak8/DuuPLbLsTyQ+688s4qoPMCUqDzN0bQ8l/6zPBECtDxQ8cY8goXVPBJ55jzzAd08VuzpPNSj6Tzljug8l6HkPBRk6DyVNPM88pbWPMET2Tzn09I8tEPdPIyU9zyIvgY9pO0CPaRi4Twt6s88c9biPGci4TwYjeY8Z87kPDah6DzXBOo8yIT9PIFjBj2XOQ09HIUVPWafET3ivQM9RSjiPKp2ED12e4k9XW0kPkg1MD6gKgk+nDcTPirXGz4vtRQ+KyIUPvU+Fz6OIx0+4AIYPnzXDz6cgxY+yvIjPi63FT68qQc+rlkOPo7FFz5P7iM+KN4zPuPBNz4u9Dc+/fQ/Ps9dNT4TASM+tt4RPmz+RD5DvGA+UPsgPiQkMT6YaUE+fZUoPlPTFD4O1Bw+uV4kPrJcFj5vWCg+/t9DPjl4Rz4tHTI+f14kPgUkJj4NACs+TkEzPkOKGz6B6xw+EgAnPpt2Iz5tcCM+VDMiPnrkJz6urjM+W0kbPj4XFz50PSQ+S/IgPqZ+Jz4r1BE+/2sSPj+1RT5IGFE+W8ZKPj2JQj5azUY+anQ8PpJgPT6uSDA+GsIzPqZmQT6Q3zI+NlcxPusnTD5X+Tk+5kU8PlUgRD4TykI+hIExPh+tNj6VmjU+G/tEPpUROz7qujU+mpBFPtzWRj5MZjA+HIoSPqF+Iz6wk0g+YqdePrT0Lj6EhiE+VuoYPsZ/KT6F0UM+MI07PqJKKz7Yyxc+iC8XPpu1KD5jGjs+7cM8PsrANT6emj4+HnM8PnxOLT765is+JaVQPhaMMj6ouEE+p/RaPmBLPz6IhjY+sIIXPkgdAj5CjBc+EUwrPsbjPj5b2Sw+cDMkPtfdOD5R3jE+e60hPkeWOz7+hFE+L3BDPnfUSj5MvGA+6dZhPv8MMz5CfxQ+k59KPs9tMz6hmzI+QqtAPqYVKz54Kio+XC4+PufFKD6dEjY+CwtDPsGFND64Nyg+lWAoPg+6OD7++Tk+5/JDPs5/OD6OOwc+LTgMPjqDET7WuDA+5R9YPn+1ND5IeCY+hzsmPie+ND6jQRQ+gOeRPYLGgjzq+mY84GVkPFbAhjxAQKY8bQO5PCscuDxerrg8FpHHPJZLzTzOy7g8Xwu3PDRjxDwnv9I8bknJPKNeyDwqxc48N468PPH4vjz2PNc89Mf1PNzD9zxYgvI8shP5PDknBj0GDAg94cwNPfpaGj0zJB09pagZPWi/Gj1lByU9rgEjPfy4MT2A/To9Lc41Pev6Oz3l/Es9kPNPPXuUUj2deV89VPBIPf0xVT1H7149wdRZPZlPaD0Em2c9KtlbPWjqYT2N53I9tdB0PXKGaT1Q/3M9vSBwPfB7dD1bw3k91CJwPdDdZD3WLHM9CpiSPe5OgD2FiYQ9lx+JPX9SjT02r4o9CSeMPXrQiz0+3Xc9BW9WPcb9UD2TMkI9mN05PU/nSz1uWG49J+JzPYcQeD33lW49yo9KPe9eSz276Fg9rBJNPfpoRz1NQU09mkFWPQ60VT2eEFU9lk1oPZM3eD3cuHE9sr56Pa2mgj2hS4I99sOAPfS9lD1mjZI9WsSEPaN7gz3a63g9Ey2DPZCriT3kfo09d+qPPTxBhj2K63s9SNd4Pdtpgj0YQ4U942WFPZ+ZhT1LwHI9HTNnPTxOaj2SAGA9tTlpPShTfD3I2nw9BUx3PWk0fT39+ZI9EOWLPfXtYT1H/2g9f+mAPXZpgT1Rl4I9wqp/PXJ9hD2qq4Y9g0iJPYtagD0gl4s9mbyLPfsxlz14Lpc9GSaTPUPHjT3bmYU92pV9PXkIlD1yvYc9A+lcPdGRYT2NmH49hq6LPVn8hj1HooY9TWeMPWggjz3gmKA9xx2TPc1QgT12ZHo9iFuHPXtBjz3Z8og9FNNxParmbT3UG2w90PR4PZzMhT0b+oo9cKyNPcKTmD2LQp094LKwPfl5nD1pvoQ99peFPavUjD2/R4o9eHecPdYhrT3UaJo9Hx6DPdKilT3loZU9sumEPUFZiD3iCoU9gI5/PTDghD19T4k9rG2HPfFZhz3OEIY9PkGIPYLjij2uLoE9fOp+Pc9Vfj1BZoI9aZ5jPV+vXj0S7oI9oByMPVJgiD2NIo09uHSFPY8DjD2TBpA9UbqdPTztkT2SBIs9JEeKPbtveT0nfWY94GRYPQdCUj3TJFE9bVpJPXPOSj0MUVk9+xNfPciqRz0cyGc96k6APYzfgj2bOmY91whTPVGvWz16iGM99cp1PdVSaj09VWs9Yx+IPfPjjj2HCZg9QNmKPTIijT0K4ZY9Hu+QPcfekT02UJ89SX6SPQAtiz0Vt4k9MSiCPSm8fz3pCn89VMyDPdyqjD3z6I09Uqx+PUfqaj1wynU9vhyaPVRJlz3klJM9wfCaPaYZpD3FE489dguOPcj9lz13H5M9iR6YPXV1kT3xjo09Eb6nPR2AtT07UqA9eOqXPQZGlD2i6Z49mh2nPaI6qD1rJJc92bKIPbN8jD3XZZ89XiGWPbopkz02iIY9Bu+QPQPjqz2I/7I9b7G6PaMfvj14Jr09K0+sPWvBqj2LT6o9BPqgPVwVsD0VBrg9QcPMPcRkwj1frLI9BhDBPdOmwT192as9l7mfPZbTgT05Snk9lz2GPaoyfz0aaHE9yD9oPdi3cD11WXk97jOKPVQ6mT1hKqE9zzKuPT5fnD2iApc9552JPbVwkz3yPqM9SuqlPcUvtj20j7c95UqlPb53kD3z1os9GPGMPfadlD0iHY49DgOIPeC2dj3yd4Y9mXmIPWe0jT2+3J49U+evPcbiqj0ovqU9W7+tPepZqz3lsJw9WByAPRC6aj2gUXg9aEGDPZF4hT1M0oQ9c1CQPVrFnz39Pas9hOydPYpEqD2sjrM9MM+pPdDWpT0+fJo99N+tPXGJqj0QWqc9vresPe/oqz3lrag9fQWkPRm5qj1afZw96KubPeSHhT1JMng94IR/PSTEgD3u7oA9OLZ+PQ9Ofz2Rm4A9MXZvPQgrbT05JX89qrKQPQkOnj1ltZo9e/iXPZC4qD148aE9+tiaPd1MoD38up49/VOPPdImfD3xh3o9kMeBPTqmhz1CGYM91uaNPf2efz3lNGs9W/pvPXbXcT063HQ9OZWCPew/gD2ftYQ9qwOOPdvriT2ufIU9EGyOPU3Yoj0ylZQ9/XeNPVCNlT0fIpM9cLmRPSc9hz3VZ4M9O3yAPc+gbT1LG3M9sOV3PQmRcj1F24U9NfOPPbGKkj2m4Y09GriHPfXPfj0k+F89udxRPXdxXD3/Gmo9gXhpPbVXcz2Q02k9mUlvPSoAcj1o8Ik9bDuSPW+mjT0hJpo9RaKPPQqpiz1bIX49Fy1xPZwhYT3vNFo9lWNlPbk/Yj38LHY9hEB1PUdHcT2SV3k9tqZnPSReZD2xNGI9EZBVPXEcQD2wmDo9WlwyPU7rNj27hR89s/4JPbXg+Txf+es8ABXyPN4G3TxY1L48YsSwPMnirzyM7rI8GkyyPLoIqzwXwqo8fju/PDYXrzzeBZ885KKgPDQnqTyQWLM8WoC2PJ06rjzCNK48WR2jPOA9lzxpzJo8yPiWPG+zmzzaUJo87XOuPMyMrzy34ZM8VzuVPDK1kzyp4KQ8uUugPBg0njzNIp08jJ6kPFiGoTzMGac83ampPINKpTwBWqg8r4yePCylqDzI7Kg8QCWmPPjzuTy/HLg8gfS5PGIsvjz4b9A8w/zePEfJzTxAOr08k0XTPFyA6zyP8N881Yf/PNV7BD35HwI92d3wPALw0TxcAeE8Qx30PAvgCT3Hvwo9WiIAPdrw+zyIc/08vST3PGax9Txanv08aFPxPPwa9jzYcAE9Rb4GPTSdET2mKQ893WoHPUXxAj02sA09tqR6PXjS7D25azA+nFZMPj9LFD6XwBA+WwkcPlWKGj6nvQs+ouULPhXxDj4+mRc+gTMTPp7wCT5tJQc+EBUMPjk7Cz6MxRE+aIwTPubuID69fTU+J4ZIPsm4VT5dOFs+WTlAPriRDT4jcA0+e5EwPtJreD6ALDM+ro4KPgNyLT7VUTA+96knPuL7Nz6m0kE+y5EbPvmbID4TXCo+nxIxPjMNJD7ieyg+usgyPv0OEj44EhI+VLofPnrpGj5nmRA++mMkPj1PIj40myM+HIwgPvVxFT6kNyI+kEUnPp/bIT7NgB0+6wIfPoeaGD7N5hE++vEKPjeMFj7g7SI+8qI7PtKQTj7f9Wg+8pCLPvFXpz7Ap5I+gvdOPrArVz7fklE+NkhGPofURD7gmzQ+f7g1PomEJz6XNyY+AxEXPmzSKD5ddyE+G5MnPp6DKT5aJS4+oIQpPoGtPD6LCkM+svAyPpb6KD48bjY+LOFKPjW0ND4mFy0+pf8UPk51FT7TRSU+dhowPrdXKT4c/CU+UQZJPsT3TT5PWDs+fUkyPsStLT7XpTg+AEofPknTET6/wxA+XvoXPp5KID7TETY+yw8+Pum1MD7fZTw+F5AuPgRXID5PDig+FvAsPniiVj4BFEc+YU07Pq4hRj5N+EA+n1c2Pgq8ND6YQzY+X0M4PvZgPz4zulA+uzZDPgUyOj77oEs+n7U8PlsOLT6yKUc+k11HPkJgPz4PXik+tdIVPvmGFz5pIxc+vloePqYYKj7uADU+cbwjPhhWJT4RWS0+Z54rPiKmGj7OoiA+QOUiPhRwTz4MRUo+gDw5PkD9MD4SNh8+Ky8GPp/xiz26p6g85MdIPDU4Xzwjz388u7uPPNcdnTztXZo82bmlPBq1rTx7wLQ8N4y+PInSuTxgZbM8UGa8PIWXzTzNDdM815rNPD+6wTyafso8gCLSPI5X6DzU2wE9EXwSPeVqGD3m8Bs9agsRPYDtCj1fhA49YIwTPYZ3Fz1CIA09tUETPTYmGz0iWSA95twcPdoNGT1EcDA9jGs7PXzLQj34DUo9zxJJPQFfRz0RoFM9mOBZPaUkZz3i0F497pRaPQwccD1jm2w9n/9yPWQTeD1o73U9UJl4PRt5gz0l+IQ9nyGBPUuIdT07iXw9g/CJPaW2gz0BwIE99yyQPYliij0nBoI9LgmJPdW2hz2J9nk9gF1xPa7MXz1KmFQ99tVVPXshXj2UlEg9fRxSPcv1XD3Z/lg9cAFiPefDXD1AqUg9owNcPVq7Uj1PllA9ZUxKPRVXVj1C5nE9qmR8PbgLXT0Q2Fk9L+tvPYgCdT3A5XQ9JIiAPZ85cD03NGs9cilyPc2FfT2MwoI9XMNoPUt/dD3gSIk91YmEPSuohz19EH895l1uPZjIYj0U7Wk9ePZsPVPEcz1Zr149QsdWPYNXXT3uOm49+eV8PY97ez0TvYU9Hd+NPbDmij1dkn49A7NtPeNCez28W4M90Dd3PYRiZz1juHs9xgWEPathdj0A64E9enKTPfInjD2ZYoU9iYOIPVqsjj3sL5E99rGKPWgbij2xI4U95wB5Pd71bD1rxIs9a+uJPfmfij2eSoY90YNuPd3nbj3hoYc9Nh2XPajihD0n/4c9yq+EPdWXdj0Gfng90TtiPXPugT1Zfow9lYGbPQVJmT1UuYo9BId1PSyKeT26mH894l+XPTqdkD1Gg4M9kfKFPT/+nj2NWKg9r5ymPYFLiT3BCok9z1mePckfoz0/FaY9ChevPa20kT23nYQ9+Y+KPXOzkD3Mt4c9FUeAPQTpgz3zs4s9iW6QPXuhkj0WCo49F+eAPQpDgT1T74E9fBh9PavmeD3NtYA9ORGAPc5Xgj0/fYQ9L1qIPc7tkz1rx6Y9KCCmPQuRmz199oc9rGOCPcmoiD2LAIg99e6WPT+8kT2KqIg9HSZ4PdvJbD0mlGI9dhdMPZ9MTT12r2I9yDVXPSndSj33/Tk9Awc/PWvNRj2iWk89OildPUnOaz0CZ3A9lHV2PQBjgj1cz3o9Ws50PerMhz2q/YA9IJ6BPYdpoj2b9p49LDWUPf1rkD0eo4s9LDCUPVrIkD1Bz4U9wR6FPZpGiT03cYU9ELWBPbtnfD2vs4I9W3iUPQJroz1GVaI90pqNPaWQhj0hzIU9o9yPPSjinT1is7A9GeCrPedvnD0DH5c9pWeTPWuyoj2DY6w9HPesPbaRoT1dIJU9VVqVPeianj37hJc929iiPRUFoj1jHK49eSaqPSsAsD3knrw9saKpPcaYjj3TzZI9ExuQPXskmT22mJY9Ps+gPW0ksD0GTKw9zTmnPdXQsj25qaw9seGnPW0ypz1PWqU98IOnPQL4sT2O/LI9g2O8PfeOvz3pV6k9JYqwPbJgqz2qEqE9GmqbPSzYjT1VTYg92+aCPbTVfT0qBXc9xfx3PXw5gz03F489buWUPT07pD3ngq89x7O3Paeikz26o4o9FESGPd9fjz1/Vqw9Kvy+PQx4wT3DSKg9yjmbPZXGkD0cEoo9SjSGPcN6hj1/mYM9DcB/PWIlgj3kmpk9fW2iPUxRoj0y9aU98PWYPZzgkj2DdpU9rAGQPawFjj1STZA97PGNPSvJmz2uQpE9Hs2LPcwdhz1dWJc9UfSiPaEwoT3epZw9E2KlPWTyqD0fuLI9vJmoPWPQqT366rA96vKyPUFKuD3hHKM9UumbPSwOnj3SRJc9yzeWPbvHkj23IJE9utiZPWJwjT1DYYM9qwd6PbKxiD2Q74w9D2WIPS6fdT15q3M9LrBwPVFEZz2STIc9Z5yOPaGlkT3eR5o9DVSZPdjWoD2arKg9CeWiPfRqmz3E1449tAV3PQc5ez17Y3s9AJiGPbFWej0GhoY9ub2NPfzqhj3G8349miB2Pd9Cfz04RIw9gIeEPWS0fT07o4c9rmKQPa6Kjj0HJIU9GraLPdpakD1M/og9kF+JPakWij1kmYc9ybaLPYDZiD2kW4M9H7p5PdPPZT0W44I91BaRPWT4hT2+eoY9GvWNPdWLhz3s6oY92C97Pf9UaT0V+Wk9uFZxPRQLhz1hrIM954WHPZwFiz0ZJIo9KX58PdFTgj08yIk9WeuFPf7NgD2r5oY9JHGSPfwJkz1b93k9PoiCPS6RhT0WR3g9qd5yPeY1gz1W0Ic9I3F8PaLsdz2NvmQ9/5hWPfqrUj21dEI9yJ83PRkOMz3Z2xk9/d35PAHX0zxzx8Q8BoPAPKDwsDwjOrY8U8O6PFPowTw9lMs8r/69PMPDyDwVyNw8ycnfPAqS1TwrIck8EPjFPBoztTzBib48zpmwPKQynzyEGLk8d1+kPMOHlzxwK588002ePNZsmTw7LJs8eqmiPOeYnTyXbqM8Fka9PNYFrzy9uqI8W/6kPJ0gojwljKI8rK6nPHYPljyGCZo8FCChPPxGlDylAJk8V6egPBg4mDxgeZI8Q76fPFyOpTyXU5s8DKCTPBNQrjxPDKo892W1PLtozjy6qss8cE3GPFpsvzyT9748RZXaPF+l5DxhS+48roUCPSnHBD0siRI9jsgKPS4CAD1QSvA8Vk/mPDvx7zy/o/88y/P9PId9AD2/VAA94xoAPdqTAD2Novs8NBoCPUHMAD30aQA9U3gQPVLcGz3DYBE9xHX/PFC+7Tzy0hU9EwrSPTiTUj6Mg0M+ebA3PtL7FT5eIBk+pJEgPukSLj63bSE+67cUPh/GFD7pWRo+zuYfPqcnGT6AmxQ+MasXPozUGT5mMiI+H6ovPuEPOT6K91A+zilPPuZORT6yFj4+RQgmPku9MD7ejkc+AvllPpl/QD7WDQk+aXkOPupGID4Fpxo+W2gWPpr8Pj7UHG0+zdBiPmIThD569H0+JC5bPiapJT4yxSM+KOIgPnNyGT5Y6xc+gEovPqRzKT63eCU+z7soPq85Fj4HIBc+UdwsPq1BJT4vbxo+9n4kPkkBMz5ppzM+KhtBPohtOD6DWhw+1ocZPosPHD6F/RQ+h8QtPp32Uj7/pU0+lpYxPoiDOT4/tDA+YjolPsmNJT5vziA+RJgfPutWHT7l6Ck+3O0oPtGXKj56kic+cTITPp9JHj5X1Ro+gfMfPnIIET67fiY+2Z4rPsprLz4PFzo+iqUpPhUSKj6T/hc+qkgkPvR6Kz4ewx0+krMRPsPXGT7Z1Cw+HUAfPv5DLD63tkY+iXIxPhp8Pz7KtjA+RM8zPjgOJj6Qhh0+tP4dPpJTJz7Cnx8+Zt8QPpwRKD47py8+U2YgPsp8JD7XJEs+vo4oPrPCED6FmBE+KmcvPnAUQz5aVis+rtEmPi2DOT57GTY+QdlFPnMCQz6xWxY+Bls2PliILj4R8Co+AwJOPs0bWz6FxEY+5hRAPikQUT6Ke0A+jxwvPnInIT4dzg0+HOzuPU1lwz15ipc90wCPPclYaz2qaVM92n9qPWaGij1xHrQ9tD66PVp40D3W8MQ9eKz6PcsQHz5tjw8+IznxPWsQqD142109uu7hPNMpgTyhjoU8XZOGPK8QljyReKA8aaGdPEyglzygi6A8WaC3PArCwjyfHbY83iqwPHUhuzw1c8I83v/RPNfy1Tw7N8c8iHLHPH8Z0TzeXeg8Skv9PHeQBT3MDAw9emgRPUHJEj0mxg895iQVPSx0Hj3DzCg9gzoePZcBHz2U/xs9Q4UXPZhoFD3HCxo9agEjPcrrLz3sFUE92JdPPbUBVT2dUVA9DIVQPRqGWz2x5mw9zZpzPVF6cz1miHc9eetoPVjjfD1anYE9qgd+PUg+ej11vHs93ll7PWFyez07Kng9M52APeVTiz0+Qo090nKQPWimjT1or4s9ZgyMPTCjhD3uVoI9DD57PWvReD0jmWo9czZkPVeYUT34vEU9tSBKPcIgUT1in2A9R79lPbndaT1/bXM99+5tPYNiVD2RRDs9PjhDPU0dRz2o1Uw9PYN1PX51fT3hx3k94fBwPWV5Yz3tenk9wvp2PbRFaT2qZXM9df6FPemNgj2F6oA9lfSBPV4gbD33cGo9cx+APRUlbD1aTV09JuNUPWR4TT3saEU943RTPdriYT3hgFw9S29aPTjKZT26NWw9F9pjPcVIZD1jRm09jtd1PcNQiz3LppU96bWTPaELjT164YI9Q5x6Pdjwjj1al409dGx6PdyecT2/8n49n3SMPXvKgz0jgJA9mimKPbrKhj0yi5I9tlqSPYLgmD0hoY09AxKLPRRhiz0eHJo9GfCLPRmUgT0M7YE9LiGHPc1NgD1t83I9K5SHPeXhfD0htIw9X9mFPZMjdT2Mn2s9wfF1PUkYhT0dnpg9e+KRPQPRjj2v8og97B+CPafTaj3a02U9f/eJPaw4mz1yW5s9sG2ZPQl6kD3A/oY9VT+DPX2Imj2SxKE98MyTPQ13iz2iJZE95bqPPcVzgT3RYoU9BaCfPQR9lT2svYY9lumaPVU4nj3uiaQ95TOcPdECmD3mep49CJSePRw2kj3SppE9CceAPfeXiD1Ec489qB+FPft9iT0UxIQ9T6aMPV2pkT01OYs95uGXPSlZnD2e66Y9YcSZPR0WkD0WnIY9Aw6OPYWNjj3m7n49qa9uPe5sbz0yFnQ9FwZcPQF8Qj1fQFU9uLdaPbAdTj0ntUw9BONIPf+tVD1Rj0s98zdLPbXZYz3hkH89Orx2PblZgD2ENI09IPOQPaQFjj2Ip3894zSGPazYkT3vv5E915KZPdYosT3Gfqo9iy2YPaW+nT0kxJw9uGeRPbJPjT0zrY89ucd+Pce2fT2Z3II9GFSKPSQKkD3Kea09XTmvPUu3pD1aB5s90D+SPZ5AkD305o895fKRPa6Rmj0p5qY936iSPdvplT3p/J09okWcPdJ5oD1sObE9X3mtPR1hmD2Zs5Q9yFmXPajPoj3vZaQ9f2SoPZN/qD2kYKk9TnejPRm1kj1Q+pI9bw2WPXBfkD08zJE9xaaaPXHumD3My5893fehPZ+Uoz28vKs9FdmvPRQ3pD0xiJs97BGJPYY/kT0wD6M9VYOtPS4Mxz15ocM9tQKyPRSitT2hfqI9q8+aPYbpjT3sJYM9QZCDPZW1iT1NM5A9OOePPZ3Chz0hO4g9DByHPStoiz0uG5s9lj+ePUrZmz34KqQ9uRCoPTF4kj3poZE9KiKUPSvFpz3PH6c9v0iPPZHskD1/5oc939CGPXhMij0X23494Sl9PdSbkT3+j5M9CLOTPcsJjz2q1pc9Xt6fPSFGnz2l+Jg9QgWWPS+rlz0q9Z89SPSbPemrlz1jbpk9tn2TPb2YnT3h8Zk9uz2SPXbFkz0afZM9ybaZPfs/lz2ccpU9nY6iPT5Xrj3026k99KarPbthnT071Jo98CujPU2kqj00dqQ9YT6zPUCyrT1VvKE9yzudPSt/mj3sV5A93L2JPdzdhD1S5Ig90v2IPRJHlD05ppQ9CSuDPbJCYT3ZP3E9b2aAPTd2hT0e54Q9cPiLPa69lj3NgaU99XSYPb2XkT0GUo49W1J9PWOZgT0rvos9/0x8Pc2VhT0sWJA9Q1mMPYaCij2/h5Q9W8ySPS72lz2CO4w9BW+VPVdioT0LxJk9ZFGVPeyphD1J3n49mj15PQCugT3sV4M9EgGBPQFBbD3lUXM9g0aFPaRxgj0aeoo9ooCPPe0qgz0V/m09Z2J7PULbcz3Brm49uxt6PWG9hj1q75M9Ht2FPc/Yez0NVIE9iSSAPXjKgz185n09TFKCPZbhiD2pc389O05zPRkMhj3Ra3g9dSF1PSehgT3XLpE9mG+UPf22lD1sVY09PKySPR3Nij1wc4Q9dRGBPXIZiD2UjXc9JsZlPSRfZD2WWHE9PINsPZu3Wj1mME49SyNBPQpIPj3fiSs9C7YNPZ8kFT2GOPg8nAzBPACdwTxEpcc8Gk+9PJvX0zza6+U8JSzHPKIEwDzWHbQ89yHHPHFkxjwgwrw8jurEPEAEvTxLuLo8T+ezPC5zuzzDDbU8TbmuPIVmpTz0H6U82T+ePEWgmzyPEZo89JafPFmwmDxwTpA8l+uUPGddkTyjvZ08fqm4PBY5oDx/gZg8EuucPA/irDz8LKI8yCWMPNPcgjx1XIk8eTGiPEL+nTxZlKA8ZKifPO5bkDwRkI08EQSSPJHimTxmcpk8bIagPELBqDx5Wa88fHqxPC2etzx6Aco8z4nZPLC/4Dyxo9g8MxrwPP2F7DxTEe88cf/xPCkzBj0zcQY94Aj8PNXl8Tzg1PE836LoPPXB+Dw0uPg8vVjxPBk9BD0AgQU9rAkMPa07BD3R6AQ953oCPReBCD3hQgk9nCsWPVCrEj1JVgs9e3cFPSTf6zwJ3oM9wmcWPjU9Nj6EQkY+QlQyPujeGD6ZwBg+r/klPtwNND77jjI+LTgYPpWOET7fdxA+hCYaPvdFIj4K2CI+R7UnPjEtNz6Wyj8+swpEPkYITD7bwFE+UOFMPoIxTT6LP0Y+gSZHPifeTD7I4F8+OzFBPkQLKz6/VB4+T6IgPsPoLD6WmiY+HdwyPv8mYj5gTEs+if9hPne0vz4hIqM+1apHPg7bID7qBTU+Lt9NPn4zSD6vfCc+xpEbPtjrHj4G9CE+S9QbPnDRFT5r3wg+fjUpPtilSj4VMCs+7LkRPvzSMj5pYiE+4j0fPrxZNz78nEE+ee5QPjYsKT77Ey8+etU2Pl/EOj5KZTs+/ygxPi4SCT7FQh0+CREgPrZ5TD7exEo+KaMdPkJ9JT77QTY+26g0PixFNj667xY+VV0YPoy5Jj6Drw8+QvwdPoh9FT6nS/Q9GRchPqglNj4RhC4+7jAmPvuOHD5JThg+1sUrPtZ6JT7g1x8+Avc1Pi5fMz4VAjc+KvAoPoMRJT4UbTs+IAozPohuLD5APTY+amhKPoCnQz5J12s+5gB9Pjg+Oz5/gy0+aM8VPm+VIT76sh0+nw4WPgHuHj6fr0U+tmgePmsVEz7E3Cw+7lc6Pl6nTT5/zD0+adonPjY1Lz7p5Bk+wlgePpR1Mj6udS4+Ruo5Plc+Qj4h9T4+woRgPhk2cj4rY18+9VtNPl/jPD4grfs9m5yuPVxkkT3RElk9HIf1PI+djTwrKH88hwOHPP7TjjxrfpU8YvKePGKbnjwedZ48jM62PHib0zx/pvk8o7JUPd6fgD3RjzE9Ef/OPDKXmzwXwpM8trSSPOqHpTxusLs8ODi3PD+spzwwJLM8u/m5PGXBsjzyAKM8jUO7PGGntjyUq8Y8DunHPIeh4TxILew8KL7kPMbW8zxkUAc9oncBPRCbBj2QqAw9ek8XPagaIz1dBx09rGoVPX50CD1ENBE9vBEjPauwIT0o4iw9c8kpPbOPJT0qFiA9JQQdPTwkIT3Ymi099IA3PVISPj3ilkM98+ZRPV8XYz0611897H9XPYfXYT1LEXg9Fv2APf/TgD1gaXo9Z2NyPRajfT1VJIE9JgOFPQfWhj0qB4c9XjKDPclXgD3/Foc96fuIPWDNhD0Baok9WR+RPR7Tkj0jj4Q9HGd2PY9piT1ruoo9vsaGPc0ehT2SlYo9REpzPZ/uYj02hUI9gI1LPW4IZz2Wfmg9yAdzPU4JgD3/zGg9ZVhOPZXYPj0NJ1Y9tDFZPdudVj3HeV89pVdJPbS5VT05p2k9ymV9PaoFdT2qRIE9+nd/PRkeaT34GVw9v1hcPYNjYD1YClk9PPphPUK3eD14t4I9lXNjPXegWD3VXlA9naxZPT3aZT0WsHA98TRnPbQdYz3vJXU9YDpgPVW4fD26rXg9HC1uPVf5Xz2xqWM9TQB4PWiwhz2Lu449ZPF8PbCIbT3TS2w99cKBPRlkdT08xmA9Mx5fPcADfD2gQ5s98k2XPTFejj0zXpM9ss+HPSboiT1FQZA9o5CNPT5Cjz2qJ309cqKDPWD2jD1Xt4s97H2JPYANij0Tq5Q9uNmHPUwrZT2dCE89VC9vPZhfeT3A5X09I4RnPSM8Yj3bHn89s56FPRI9jT0v/Ic97sJwPTiHeD3u44w9BAiUPX+smD3HEJ09+kKiPRd1nT1gAoc9ATF7Pdmvfz2+nYc91JuKPWakjj0VEYY9OjmGPdxRjD2EQZM9qTuVPWb4lD08RJM9/4ChPRO3oj3GxZg9oBqQPdyAmD23wZU9q2KcPYjokj0Wco49j46EPfrxkz10NIw98SWGPUTnij3L64s9H4KLPRxGmT0z0Yw9/4eTPRYpkz3t+5I9crmPPY5plj2EIo89PhmLPQYJkD3ERpA917mJPe6RgD1EnYE98iiDPbpZfz3jX2Q9+M1aPeWIZz2wg2M9N8tjPc/caj1wGVk9IvZSPboZUT1SJ1c9ZABgPdCiaz21AX49OEF/PZteiz3tFJ89/hGgPXkkkz1arpU9g9iYPUn4jT2owpo9mLWtPec2oz1uJZA9kLSSPYjIlz2+kYg9eX+DPb21dD3MVoM9eHmKPX61gT1BWYU90Q+IPWTSiz3HeJE9BLqcPYckuD2PSLU9wuKlPWYOlj0oyI89jZiJPY2alD1s3Zw9ZZ2cPV+ZoD09CZo9vCWfPX1brD0skqc9HeyNPe+ykD3HBZo9P12XPcP/nz0vHao9I3S2PeXOpz2VR589+PyWPe5/kz3IGI09owCUPZhNnj3Xzp49hPCnPaxwoj0bO5s9us+mPU9Ioz3FyZY9mUOdPSoMmz0CvZI9z8WRPfeslD1HcJ89Oqi5Pb4nrj0ziKA9sv2dPfHtoD1U5aA9gJyhPVGCoD2j8ZQ9RzuOPUq7jj1K3ow9xkCNPWBEhj2TgIs95PaKPe7Rfz2rEYQ9fr2TPaQirT0IIKA9rYmVPVS4iz1C5Jk9PDehPbXLmz0X6po97KCBPRuGez377Hs9w4WGPQY2hj0HvZE9V0OaPdfxkT0H+pA9WqKOPQdVlD2HEpw9hVCwPfazqz0MKLE9vGWkPThmqT27h6Y9ilydPfZOoj1JFKM9yyCSPUwciT0nKoc9BHiOPaz/kD0FlJA95nqOPZeWmz0ZT6E97SKfPdAstz3f1Lg97P6iPYiTsT0fxrU9WdOsPWSyqD3Va689r9inPVGdlz3ISYw9C7OBPZ4Wiz30B4U9HEqLPY0NiT22/4E9zaWKPcfWiT14QXg9fgN9PdKxbj1OOHU9CQx5PYFTgj3Xz4s9QzePPbs9jD0sKo097I+FPa/Ygj1s/3k9mftgPdgMVz2eOm093FiDPT1NjD08Rqg9ine2Pcz4sD3/eZg9pPiXPdUnnj16cKg9xvCVPfUhjz1toI89AkOPPe7hgz01ooo97xCJPXpNhz0s6IA9aDFrPX/GeD29v4U9NiWRPR48lz2BUI89tayQPeh9gz25QHk9jE+APf5vfT1NWYY9mZiNPaukmT0g0Jk9KQeOPaSIhD1wC3w9mhZ1Pc72cD25u449ffCMPafPhD27PX892+WEPTqFiD0LxYQ9Xf+JPWsvhj21QI09l92VPcAIkz0IJ489eFyFPe2GfT3A6YQ9v4d5Pe8UYj2YDkc9g2VSPfz6ZD3KE3s9e6h1PYfUWD1rZUc90cMyPfDGGT1UrPA8ypixPCJXxDy/1ro82b6uPO5LszzuLLQ8qGWtPGnIpDz3HpY8POedPAEvqjxgY6Q8rFSjPKrsojwy/qQ8EdaqPH2AnzyD+KQ8Lju5PNTqvDy9ELU883KdPLBqoTyyX5Y8TSaTPG1wmDxzRqA8YWqnPCGTlDztI5M8bQyVPLipmTzXdKE8yVqjPORApjz+RJI8vzSYPBLznDzsYqE8AHOkPOYJmzwqQI880E2cPKRvrzxpB5w8y++jPGUpmzynfo886qeTPCWUmTz5nZI86JCiPP6GpDzPRKk8O2WzPGNrzTxGbto8eynYPDP12jwDTOw8Wzz5PJvcAz20aAo9OzkRPUjJFT02Agk92T8EPWHoCz0gpwc9I+UKPcY8Fz2XxQo9yScDPcipED1A4A092MUWPbjTFT297RY98yUMPZfaDD1P2Qw9krUBPd9wBD312A49JTgIPVz8BT1mTQE+SWB+PqdSXT41GCA+Pe8mPpQ3Kz6dfBE+YCkZPlSbMz5YGxg+gE0PPkvmEj6+XA4+jpIQPlRoIT4CUis+M4gmPpLJWT6giXo+OGlWPrBJXz7EVj8+fDJHPriuRz7UcSU+QKc2PpJONT5LEjY+hixCPkV1LD4SnUE+7rI6PvmEIj5FADU+0EQuPm4vJz4p8CY+IoOJPmuHkz5pAkg+aWUpPot2JT4tnTM+RpVOPjgiLT5cdiQ+gy8lPj6YJD7v0yI+5iUxPhRoIz5EKSI+jsUQPq4AJT7YyTo++S8kPtURMz5OwTc+fQwvPoDaNT7pRUM+kYE6PqcXOz409kE+vMhCPjUVST7aeDE+5zk0PiCqST7SBy4+GFUhPsR2Mz4LKT0+JaQ4PpHAOz6r/yA+99kCPpUrGz6GqCU+dPUbPlF5HT5rEB8+AQM3PoylMD7+3Q4+/7YFPohBMz4B7io+0HMxPpnWKj7rnTA+518vPmCHGT6riSw+foAqPuNWMj5F/iM+AVQ4Pg30UT4tIzg+MWQ3PmdmKT5pYlU+fbNrPu68Vz4aE2o+kHqOPgivZD5rcxw+EKkcPpWbDz5B1SQ+ugsZPkNMEj5NASI+YMIZPhwzMj5X7ik+5oA4PtXCVj6B6hY++kMQPjTnDj4myxQ+eaUbPmv+ND4qfFM+H3w8PuQeVj55wWQ+lXVRPuftYD7fnlg+0usPPg0ssz2LbEA9Z3L6PPHTwDzMFYo8cqKUPAHvmzxRC5A86r+UPBnxnzy7tqQ8Du2gPOk1pDwYu6Y872q2PKuYuTwC1sU8EhvQPG1/3DwIA/c8Tfn5PNwD6TylrNM8d43mPCMJ6jyKi/U8a5n3PN4T5jw2Td48QGPVPBYv1DybssQ8eRXLPBVyzjyy0dY8cbnfPAyV9jw9PQM9pykEPbiNAj3ULgs90CMUPbWsGz2TNxk9JdkbPR23GD0jiRY98VYWPderFz3z1Bk93uUgPTV5IT0xOCc9IjMxPQE+Lz21QCo9sB0sPeY6Kz1UzD09fd9IPT6rST0jPks9VJhgPTheXj3XqGU9AE5qPRSDcD3fuYI92eyGPT3UeD0ivn490Wp4PdjShj0BE5M9WZ6KPTj2hj3i2YM9j6SGPWFAiD3bQoY9InaEPcO5ij3x7Iw9tPeKPV4ujT2PXYs9Vr2HPZvTjz2WuYk9njKBPbb2fT2AqXI9eTNkPW4yYz0FeFw9JCJWPYC7YD1HnXI9GOdrPdG8Yj3fUE09L+ZMPf7BUj3VWlw96IhaPWElRz381UU9MVdiPSvraz1nK3U9isVwPTbwZz0Bn3k9lQ5aPc1ISz3MD0E9ij9YPeR3Yz2rbVY9wrNXPeVgbD012lE9YoFXPVpkZj0KLnU9ne9xPcTYbz3u52k9zgFzPSaHcT3Z5IE9JzdwPbplgD03CGs9L21oPZneej1L+HY95/WBPWDQiz0WJoE9oaFmPXroZz1yt3M9nPd0PfQ9eD3doWc9+tliPQv+cz2bAIQ9VXqJPc7Agj2OBH49yOx0PWxWhT0/jIU9zuSBPWxAez1jo3U9mRCLPdW2ij0+z3o9qm6DPa21dz18F4U9NVWBPVbPVz0cA1s9LypZPXzDXz2Q62o96Jp8Pdvngz3jkIs99G2PPe5Mij2763w9jkOCPchflj2+SKE9oHKdPWYanD0nN449KOGHPYXsgT2Df3A9VcV1PW9ThD0S7nk9G6x3PWiPgj3WV5c90aqbPS8flz2/jY49OseUPbZ5lz2sTI49Bh2FPW4Obj2xFH497w2LPXwtlj3YQJU9Hs6RPSm0jD1zMIo9qC+JPXnRgj0DaYo9osOCPfpUiT3KSok9eXqXPT5wlz3PUIk9OreUPdCFmj3wTJI9orSQPWgekz0qX449z1WSPX0Rhz394YY9Mrt0PfsLbz0JaGw95uZmPQ3CXT21LVI9E/taPdQ2XD3b5mY99jV5Pc5OeD2Z4Wo9mVFXPewAZj3/4V49dypoPZTucj0N+Gk9D+OCPaWsjj0BjKA9F1WdPRCyiz3eZpU9MeWCPZr3fj3NL5A9mWuMPUS7jj03O5I9K/6HPRLffz0eOIk9DSR9PefSiD391409OvqJPYEkhj2x2ok9xtyQPV94jz3CAZk9tzGXPRZipz15MZw9CbKfPZluoD2MvpU9TTeJPRtCmT2L0qY9v6WjPWxxnT0+t5U9Yw6qPUbloj2Mr4o9gE2LPYPvkz1olJI9E+KcPYJrnz0iP5k95uKOPfJkkD00jqM9ZGGkPU40lj1WSp89OxqcPY5eoj3Q4J89d5eiPb90mT3Iv5k9N/KaPVDznz1N8pM9UxWbPTtqpj1dkaU9ajWiPbsSnT3il5s9uCuaPa9+lj23zpg9GeqbPZSMoT3o5KM9AYKoPWTUsD0eEaA9GSuVPdgemD0sqo499w6EPXikfD1G8Gs9H41cPdZkSz3qPmI9qa5+Pcprgj2THI09YdOYPXe2kj2HH4s9vKCLPRvSkz31No09a62MPfo1ij2ZapY9QBSfPc1Gmj0guZA94O2DPdgNhT1ulYk9WYmMPVQynD0w3bg9gwHDPWTCqj3IV5U9U6yaPdg2oT1RGp89I/eQPTkPhz0wr409D8GMPUY7gz1vpXQ9bjiDPcQCjz0q15Q90g2iPUdOoD2YxZs9ujumPeH7tD1fFKc9MIKfPRZRpz0Y/6Y9/gSoPUTynT18tZo9CAqePa5dmz19xI49/SOOPXqSij05uIs9d/uVPQczjj1FhIc9qRmBPYniez2u1Hc9n6pwPX8ufD2cg4c938uEPSUqhj3NU4E9AB16PQXthj19X4A9yyKIPTftcD0OzHU9Z3aFPQlBiz03tJI9nliPPeY5jz2eCZE9hY2fPV/YpD3D34w9qMmMPZGDmT2P8JU92FSQPfweij19moA92LCGPYGsfT0Pn4s9IgWRPePJkD39kJc9t9KXPfmMnj30LY89JLKCPX2XiD2Xw4k9V3eDPTlhiT0WPYU9bgaHPQY8hD0p1Yg96HmIPd0pgz0S8YU9PT1nPbc2bD094X89ib2EPZu2ij0MCZA9cNSOPRszmD2f45k9X1CfPX4wlj3u0ZA9+AKJPeGUhj2Ono092dKLPVFMiz3Bros9nPWLPW3kjz1t/II9p66CPYephT3arIg9CkeEPYV2gz0OYWU9g0ZNPWQbOz0uWTo9Z3YAPa2MvDx6mL08rjGyPFQtojxzaKo8+vOXPHGmmTy/FKo8vbKvPEHLpTxaTo88gG+VPLzumzx016Y8Qzy2PDoXwDxpn6I89LCtPGyLrTw0zak87RmsPAbmsjx8bp48uJyQPH0smTw9M6U8mbuaPNn3nDyOYZw8h/2TPF6Flzzm35M8Hv+MPA+EjjxBnYw8EG2VPLerkjxJTIw8AkqPPBpamDyICZ48bfmfPG/PqDzSt6E8WzyfPLaNozwHhqA8YVuSPHaEnzwws6A8l2iUPFa9jjzTz5A8sAqTPKNKnDxNaKk81WiwPDMIxDwWVcc85WzDPOCYyjxcit08ZMX2PHYGDz1pGxg9AHkaPfK+Iz1MFRk9JMIRPVfnBj2ERg09ctsYPX9jEj1HvQg9s0IQPe49Fz1B8xY9ynIPPehXED2wagY9ItcEPc/jBT3Hjw49luEXPVVtHD3KHxk9Zz0RPYq0Ej3F4Zk92mgbPtr4KT5eFEs+FulGPvoQPj4O4zw+uWcqPrJUJT6+Qw8+9xoLPu+RED5RjRg+Ch8ZPp9tID44R0A+Y6w+Psqxbj5OpXQ+f+1TPqsyVz7eRUQ+DTsyPv0VLD6BwlQ+Q0FgPv8EOD5kQTM+EMofPnb/Hz58RDQ+K0YwPqQ2Lj4a4is+y74gPlpsJj5MeSE+VzI5Ph2DUj6Q+io+nAIhPmLzIz5uJDA+ejs/PsAIDD7Seh4+na4gPpWFJT6NNDo+jEUxPmzRHz6tMC8+pLYhPiojIT4x0kA+mTBNPkrcJT5MgyE+GRclPiQcJz6ggjA+hh4fPlcZPz5RODU+dVEvPqUlLz6+JSU+XE4jPmpJOz7UKE0+3zIxPh/VLj4vTSQ+Xm0vPhQnNz6teBs+lj5CPtbNJj7q7hw+hfwiPgQMHz7DhB4+1WRHPoZSLD6gCBs+bi8LPsaCGz6yKjE+js4qPqgiOT4aijQ+Kb0TPu7eLD74PmA+yhNbPnwDPz41MzY+vQlUPj6oQT6G4yU+ADNFPnPdQT6HITo+SF4qPjW5OT75mDY++MsvPpBvMT6hGCo+LWwyPtL8GD76BxY+YKUSPoCNCj7TXhU+3MsUPpmFLj7yPk8+8u0jPuSyMD5Coxo+JFkOPlwtFT6LbUA+KcYyPoYyKT5PRks+dMpjPgYdZD5XD0U+oeptPtODMz5zCYc9w6T+PDM6ozxJjYk8In+fPAOhtDx6MMI8W5fPPKQDzzyN8cM8LHfSPO+uyzzo+M88ScLWPG1v0Txj0cU8VgrMPCQ0wjzg1sc8DFm+PLD7zDxjIdg8K3PfPI0B5DxBM/s8/r8BPVC6/zww6AE9mmf5PJbe+zwwtvg8tZjrPKTL6zwCNt48csvhPKjE9DyNk/48ww0IPXFcBz3wWAY9fdwQPbqbDT1Cahc9r2YbPeFmED3KmRY92JEcPThwHD19iyA9V0MkPSzyHz3IWSU9YX0yPa92Lj139TY9S5Q4PR2XNz2LwTo9p+Q7PUQyRz35iVo9HcRgPflmYz2MCGQ9RPJ0PRHxcz2Y0n09WsSBPdCmcz1W+oE9ta+BPdwQez3E7YE9RZOLPQr2kD2DUo49geOKPcVvhD0Ym4Y9YP+EPXMgiT3EdII95/GEPctNej2y9Hw9qpGFPQBCij2R2Yc9SReOPeWbjz3O5JQ9UjuFPQ5aej0p5Xk9mh5oPeR2Vj0Seng94FZxPSMKXj2LhWM9qS9pPWaSWz2IDls9n0xQPQzwVT26eGA9AoxZPajGUj3HTGU9XahzPZ2gfz3A1IE9NTdwPfqtVD15OlM9K+1UPUIQWj3hOVE9U41NPc+aUz1EOlY9qI5cPYInTz1qHGE9zmmAPeTlfT3JgnM93FlsPcR4cz2TD249J2FyPVgceD1Eink9SBGMPQNylT2cNoI9Mfx8PW+mgz3wu289l99qPfyKcz1IMWc9uTJfPYyVZD1ROnM9RR9oPVinZT1f6Hw9OZKIPYCJfD0qY3s9OVWJPbmFiD2lkow9dpuJPW1VhT30/oQ9+wp+PRcNfz1oSJY9oUWIPdNwjD1RnI49NCmRPXh7hz2sGog9GuaIPeARZz0U3Fo9knFsPRLKbj2DWHE9rSiIPT7LkD0KQJU9k5eDPdZdaj2ZCoc9rSaOPYxqmz1Uqpg9KNWBPdYojT2CRJw9Emd/PcV9dj274Gg9B8lxPWQyhD37L5896W2oPfC9kD1ueY89tV2WPZmjkT1MNJI9ILCRPT81hT2f+n89+4aAPTtziD37FYg9f1SKPejugz0g6oc9RcaMPa+2hD3TtYg9CeCGPbl7gj1+t4k9TveWPaGxnz0VR6A9YUafPayrmj1RBo89qiSTPXd8oD2UeJw9Ow6aPTDAlT26pYw9OJ6BPRH7eD13v449nyGTPXlMfT0rB3M99Lx2PSYQbD0aNmQ9FlBlPZ0zZT1q9HU9HAV0PRUDcT35Y2Q9695UPbXGYD3rSnM9WW1lPWbXgD0OJoU9p/mIPQQAmz3PqI898p1yPWJrgj0oKn09l4yEPcm0fT3ySY49Hb2YPbt5nT3TmZM9Wz2EPfPqkD0/8oc9IUCNPcHNkj1m94k9ewSNPfrmmj0qHaw9haCfPUuxgz0lao89BWWiPT3hnT0ycJc97kCcPaKUoz1MLqY9zzyePZUkrz0FM6s9iIKaPXzcnz2FWps9FdWaPUNEoz3PdpU9RIGPPYMujz1Owoo9Bm+NPaH3iz0VhJw9H/SUPSSemj3qjKA9jmCTPVRFkD0Tnpg9UQSUPXLGlD1LnJQ9z5WjPXHsmT2vbZk9obOcPY73mD3WKKU9lfWsPUDcpD2DsaQ9T0aWPZwjlz3zjpk9bnmNPUQzjj1OHps9HvGePSiGpj0TJ6Q977WlPQa/nz2g46A97vaRPRaHhT3Kf309IK1wPVzzXT28AGY9RzxuPTKNXz3JeWk9U21vPcMJgD3A9Zc9GrOyPYKzoz2Cj409mHuOPfM/iD16hIg9LViRPXy3iz0J3Yo9yxOHPcIajj3b1449WyqOPaDkmj1iVZs9ESalPaMEuT1x1rA9HZWsPazXsD3aNas97sqsPUxUoz3jQJc9s8t3PYI1ZD0nnW49nwV7PQBugT04rIc9amaMPegZnT1sP6I94XeiPY+dmz0pX589xK+nPT0fpz0wWqQ97TKlPfZwoz1KmqU9SGKiPfLDnz2T+J8904OsPYoosT1PaKA90/aTPRn4hT3SSIc9HCCPPSVuiT2FDoE9JgaWPY5+kD2n4Ho9VnlpPcixfT15CoM9ktp2PaghbT1sMlw98MVuPW3whT0hFo09hVGDPTJ8gj3Z4o49CFuZPQWWmz1wNpI9TDWJPeOCjD1Fs5M9ALKTPQHwlT2NcIc9bjGBPaRqhT2BTIQ9QhF7PQMEYD16nG098UVwPReFgj2U1Y896hKMPXPUmD1F1ZY9U42cPXw7nD2R1Yw9vU+HPWwpiT3t/ZI9tsebPSExnj1WrKM9WESRPYf+jz00+5c9RXeAPc3+cD2M/XE9V3tuPSmnej3KHog9DN+JPTbbjT2G7Js9HUCWPXNomz3nDqc9At6uPVDUkj0SSXw9Vq50PZNCdD2eLX89mqmHPVFKhT215Yg9O0iIPX0Ehj1wGoc9Qr+JPalElT3ZSYU9z8CEPT9XYT1n8z09fFUdPSeC7zzkiNw8Qj/QPNy5wzz72bU8DkGvPEyUqTwmT608OLKnPJySqDyMbrA8XOeRPEEUkTxxbok8IsmMPKKXkTyMPZ88elG0PC95pzzjpK48caa4PMVFrTwC9qQ8YBSwPCXCpzythaA8dcycPLGyoDxpq6g8Qp+oPBTFnzzKyZc8gASWPP6slzw85JU8i06UPMnhlDyzEZY8+/6cPCMCmjyC2pM8TRuKPL0oizzXHpg8JnmgPC7kozz9G6c8FrKbPJsylTz/k488ICCOPDnRiDwuq5E8HFqUPLMzjjy6JIU818KTPKicqjxgsL48/+q1PIdh0zwSOeQ8olnuPFiC6TwLFeU8QwT2PJ+eGT0JACM9jKYcPVMcJD2yNRM9Pz8KPZ/kEj1n2hM95HwVPXPxED2lHRw9pyUZPVOEGz1epCE9oPsRPTSJ/Dzwif083gkEPSZQBD2DfPk8yHsLPdt0BT1UYP48Prr1PFUu+jzlHhU9/KhOPVrY/z2cyUI+tbWRPjQnPz6S5BU+kh8lPm4/Hj64YhM+FngUPiYkJj6bdSo+ukIrPuKrNj766Uc+0t0/PqTGUT55Alw+PMlVPka/VD7FQUA+WJQ1Pg/6Nj4FHzU+XghGPrR5OT4rHxs+6ikcPjOGIj6vmCE+9eYiPoV/Jz7vKCQ+bwEkPlfoJD7zFCI+dlkZPlhoFj7Bqxk+ObccPmI+Hz5/RCY+vBAiPur6ID4K0Dg+BGo0PlWLJT7UmUM+muQ9PvQDNz69zSw+AogcPjmhGj7uqiE+2fwgPiNKJj6hQzE+qQIqPruaLj4jQCc+aF4mPkPTMT51ZSg+tFYoPufbLD7b4BM+0oAYPvWVJT7i/Ds+YO9KPtlEOz7lzC8+9xA8PjzcOT5CwUI+ii5KPii9Kz79Wyc+2QIrPvSBRj47iyw+KJJAPnsSTT5e2TY+XAIRPj5ZHD5uIyE+wyktPtCzRT51CjU+QuEWPibmPD6F7EU+t4B1Pl5Vkz4/siw+VuwuPlILPz71Qy0+hc9LPpvrRD6lWWA+pd1DPp/TQz6KUzs+EbFCPgm8Lj4lfiA+lAocPn09GD4O3Ao+FJYVPrUEGz6wJyk+BqlVPp7bVD5VaEg+DXwmPo14HT75+B0+EO4aPmvACj4JezM+E1FOPuUdPD4etUc+Bp8uPneB9D1weqk9xgaZPUWtPz1beL085TqfPFW6oDz2ua88BgmyPBH9sjwrc7U8tl+0PK6RvDz8NsI8KOnNPLOA3Ty5tds8MlbnPKNX/Dyx1uk8GPfrPIsF8DxXkP48tl/7PEHv/zyoYQA9mSANPW+uED1n/wY9tGcMPUagGj2Muxc9ij0VPZPpFz2TCRg94NEQPeQHCD3d5Ag9gQISPXONGz0/7Bo9bH8iPbofNT1W1Cs9h4QWPfCfIz2I4DM9X0c0PXz7OT0e1Ts9Bto+PaMiPT0GyDg9YH1BPcU4OT1zNkQ9HEBNPcHWSj2eklU9STdlPWGhZT1Q6HM9+cpyPYV4cj2W9IM9fjSKPXGakT3O9ZQ9ckiMPWE8iT3vOI89KYqTPeiWiD3rWoU9z8WIPVU2gj0e35A9blKKPRfagj0I5YA9YDiBPVgVeD0783Y92uh1PV5Qhz1A5Hs9Pkp0PYI1dz1IPXc9P090PSEedj0a3nM9kJyOPfJheD2pxms9qjJuPRJOdD3Tw3w9+6x9Pb0QeT1Aq249f1tnPZx4YT3mkWU9FMJWPY2nXT2OM1w9evNWPXCIbz0Pvm49HGhpPQn8aj1pWnE9F1tpPRElYT0eDGM9NtJUPYZgUj3dr2A9OiVgPaooVz3a3E49XNJmPYMBVz0h3lU9Z/tcPdwAgT0dM4w9Wxx/PWuSeD3A6YY9w7Z5Pea1gD01sYY9G6yDPawjhz2L/JA9pf6IPdtQfj0MTVU9wgRZPeoVTD2b/mg9pGhsPYzsYj34Kl09oy1kPTClgD2kE3k9QLlxPWo5aT2KiWk9jXxyPTtzhj39R5A9G5aNPZB6jT2uzWM9aZBjPfkJhz0jP4U9D3tzPfLshT3M85E9C1CUPc/0lD1AV5k997SbPdKOkj3UPoA9TV1bPcUTVj2lGlo9J5NuPfuAgz0RKJA9zBagPbiAhz3w5WI9zSZfPdrEcT0FUoY9FxSOPVR3iT2g4og9TwJxPfBJcT3pWoE96BRfPWfzeD1OqYQ9mEaJPTTekD1+KpU9AcK1PbskwD3XXaM9tyWVPYEChT0sZ389aCKNPYqXmD1kuZI9CiKHPTIVij3jmXY97d9mPUVRbD31Z4E9tjSNPSZnkD2KT4w9IiJ6PWd3hD0XSaI9xCKxPVHQmD26xJE9V+GVPQV7mj0bGJ49x6eSPVmwdz3uBnI93l2BPZTqkT0YQIs9LcBwPRjtZz0vEYE9Kz5/Pc1ffD3LZ3A9WU9oPTdYYT1mP2s9285gPeoObz3mmXk9eYpvPSY8cj3e6Fk997hfPUM1dj0kung9FNiCPZO7fj0CfW89/B93PW8Gej1King979t8PQG7hj2Q7YU9fYOFPWNMlD163JU92c+TPQOujD152ok9+0mKPe2KjT3EEYo98qGaPQCHrD2ZI7A9qvynPdKwoj1gGp49vCqTPTyBhT3YrYc9doeBPagljT0gEps9nAKiPaJKoj2146g9f2GsPVKooD1NgZs9uY6wPaVWnj3/FZ89Qw2YPVrokT2IuY89xRyKPTD9iz1SBJs9EreePSOTlj1O/5k9P5+fPbhUsT3xG689XIygPfPQlz0g24g9rX6PPVoIqz2sipQ93L2JPcEzoz1c3ac9Q2ajPUzvkT3O944928mdPbBhnT1Y/5Q9yXaXPYGFjz0f4JI9rFebPRIjkT1ULpg9mZOPPfkXlT1FQZM9mDSgPYH/oj29SqI9ELaVPdmjjD26yog9mXuRPaxMiT1mBYQ98x55PQiPaz2oO1897ctwPXl8gj32u4s9u46dPSUkjz3GIY89TtGEPfvIiz11pZE9WuWZPVvIoT3O0po9mTmWPeDMlT24z589kVOsPVbomD2ULpU9kH6gPY1ypT08AKI96AirPde5oj2j5qE94M+YPd4BhD1sbXI9rAxuPVIUbD2IN2k90ZqLPZ5bjT2/s5I9h/qcPdnKpz2wK5k9D9KbPe4Boj1Jo6M9GWGdPdU+nT0LMK49BOygPSFPoT2hx6c9GESdPZZDnz0sn6A9fXmePQgbnT1aqpc9agaRPRWAhT1Qr4A9Io2LPUagjz3gEJg9zt2lPeXrlT0OQYI9acyBPYcniT1/L389e6pmPXjiYj2RRWU95FR9PYsreT0emnA9CDuQPcmBpj17/5w94tacPWz4mz1LKpk9wCagPYXBmz2KlJE9HMyPPQFvjT3u3YM97Dx2PV/Bez0xR3E91CFZPXQLaj0gUYM9hneKPULGkj1JpYw94N2QPYDvlj3bd5k90veFPT19fz0utnY90bd6PVtfhT2+FJE9IFykPZI8mz1ajIw9vHWVPdWniz0ia4k9CJKLPd4iiD2C5Hc948ZxPamWfT3204o9gLeRPfygmz2AAJo95PyYPbfShj0C3JU9uYmoPV1doj1yvas9COuePSDQlz2ZkqA9vGabPTj1kz3XDZU9cg2KPTDEjD3M9Yk9p4+GPfK5kD3Li3g9WytDPU93ST3y2C89//v9PIgYxjwC36s8IY2qPPrAvTzHANk8mKDQPCPUqTxQlpw8D/WSPM2+njzgGpg8w9uCPAp7jjzdSaI8O+GYPBJ/jDzUo5A8i1CRPDP/jTyh4508GGKZPKhXnDyQ9qM8XfymPAjVnzx5uJc8Xh+dPI53nTxGVI081JmNPAV3iTyeRIs8eNaTPL/PmjwU+5I8HdeUPM0+hjx3Yo48WCmgPH0BmDw325Y8PkCaPDo/mjzI+6M8806pPDGznDxgVJU8H0yQPBNejDyY/Y88foWMPDPujDzO/ZI8k3SPPDu6izx+1Ys8xUeaPM/+sDyL2bU8kKa2PJHPxTxJodU8CjTcPAa76jwhkfo8TEP3PBUWJz0XrUI9gqARPXN2Ez0KHCA9IEwQPQigFj3dBRY9Pj8ZPZjZHT1AbRI91EsZPR7sCj0Bivk8xkLaPHTC2TwIB9Y8i2XkPKTA/DygXuw84FfdPJzS7zy34vA8jePrPBF05zyYwuc8BJkXPY0HhD0nLAM+juPuPafdOj1HIno9VkxQPVeuVj1Jxxg9RMqjPQA5Hz4o4Sg+4DoqPhSpNz6vKRc+wZApPqeNQz4zM0w+tKZGPs4TPD7aPDw+281KPlnJPj4WfEw+KZQnPu6jQD4NPTw+vJogPuxRFz6uCB8+yeclPml/IT5NNCQ+3JksPgGzHD6R3Bs+c/glPgw7Kz6rRyE+EJcbPnZWFz7+PCI+UKwpPotLIj543k8+k0RFPrImKT7irCU+28UzPgcZMD6lXx0+hXobPuuuCz61TxI+McIdPsEaID4EASk+2nMkPjnvJz5FyiI+VmQgPiiUGT6x9A4+RZAcPruZSj4nNTU+Rb8aPiswFz5tjy4+xY9lPpWHJT4qRx0+XTMiPs6CLT4yOTg+PscxPswNLj5ydDY++384Puy9Kz4dhB8+Be9BPlfCRz5cBQ0+LQQQPlqtKj6pTyU+ThoTPnZoHz7xfx8+hQMSPqu2Rj5TVgQ+bx03PhTJbj5MvyI+kLoPPilxJT7vOSs+9oUPPmc/FT5Ltx0+LmoRPkYcKj4ZcSE+2aUTPhdRGz7clTI+QnIsPqEgIj4rUBk+PjobPujYJT73BSY+Mk0yPmOHTz5+6Ek+lfZBPhjxMj74XSw+Y8gUPtiSGj5VHUM+qkstPqI2CT6a1/I9Ob7SPeGdUD1squA8VMzFPL0ltjx8NbY894rLPFZu0zxH8rw8D4vBPF9Vzjycc888HfjMPDhJzzwV2M88JPTgPJhR/Tya0QA91LoAPeV4Bz2izfs8QmMGPS64DD2ArAw9zwsAPZCZAj2VHAY9w/0TPcnaHz0SViM9ohMYPThxFD1qgxw9yaUZPeaTJT3XUi49B9UmPd41Gj1I6Rw9SpUoPT7ELj0mIi49HNMjPeAULT1SoC09jR4oPdPtMT0elTo9n8ZFPZgoRz1PAEM9H2o4PbM7Pj1Ouzw9kOtEPV+3Rz0O5UY9RTRRPdRaVD1Pv1w9YsxuPed7cD1DtXk9PKR9PfVsgD2L5Ig99lCOPQBAjD1StYk9trSHPVcAjD2Qt4k934aPPZe6kT34Ep89SeaUPamJjD0905U9JSqbPd8llj35l489G+uGPbMWjD0diY89FmOIPZgjhD0RRpM9htGSPZXQjD2uBYU9szSLPZjWhz1B+Yo9nmFkPelXZz39LG09BMeDPVFihT0i2HY91J16PbUIaj19CmY9Gi1ZPUU5WT02l109Z9JOPfU2Vz17TmA9gUFlPQmJbz37omc9J/diPbn6XD1kuGA9ZqFkPRKzbj2jOnM9QUd2PZODYT2cnVE9jphKPTStaD3eGHo9DFxpPXY6Zz2zI1w9UI1kPeZ8bz23u2o908d8PZ1Uej3d1nE9l0h9PVMLgz2Jaos9i/yEPX+qfj3UBIA94xp5PSlNZD2yImk9X9FpPQyzaz1wem09KRV4PVW2gj1CR4I9efGAPVJ7cz3jNXw9ARKAPUR2aD1+AHQ9ohqFPeKqiD0925M923aLPWaGgz2+tHs91oZ+Pddkhz1QWYw94LCAPc3gaD2d73Q9o1qEPV7Khz32aIE9lh6IPeOkfD3PnFE94uphPSlRaD1IKXY9/jOIPTtLjj21jJk9R+GQPbfhcz2fBHc9nj52PRcRgD2Zc4o9OFeJPWR7hD0vSo491+eFPSPdYT3QaVo9ZNJrPfNjgD3DXX49UaiAPaL4mT0frqw9i6myPe6frD2Wco49Y5uDPUqWej3bEY49S3WMPaZOkT3cy5g9b5OHPXOlgD08lGo9J7NuPQ19jj1US5Y9wy+OPX6YmT2vp5g9UtKIPQJdfj3Mvns9Z1uCPZkWhD3IU4Y9dnGTPclIjj08/YY9vP14PdbOaj2LooQ94giDPbh2bD2tuXE9A1eAPb0rbT3/zWM9tcJoPU5hPj1uskQ9y2FkPbnNbT3i82c9fwBjPVBwZT3u73U90/lrPeG+Yz3Df2c965FzPUKeXj0x/l49TPxkPfCoXT1hSXI9NeFxPdQ1Wj0GZl49dUdYPaSJaT0JYXA98DyCPcTJlT0Mpp89oC6fPZjXjz17RIE9M4KFPeR7kj1JwY49bkqPPYyRnj031509DR2VPShJiz1F4Yo9n36GPVxkgz1JPoo9ybmVPXInpT3jDKw9K+2aPc03kD1eMY49sY2TPa/JmT0VlY49q6uOPd98gj2snZI9a8OSPZ+Zlz2s9549rzWZPbuZjz1+/JA9V8iMPV7dkT2K7ZY9kN6dPdfzlj1gc4Q9Tg13PQMYeD0J7X099eCPPRGdnT2llpI97MKKPfPahz3hsIg9y1OKPUVdkD11sJA9y7ajPS3qnD2D05U9u+2gPVJJnD30jY89SHaLPVEihz3Cj4o9tYabPccinz3eAaY9r9qiPRj1lj1My5E96+SIPVV5gz3Jnos9JImRPTZqjz0w+I89I4SRPab2lT1lEJY9Hq6TPc8mmD3EuY89RpGLPbRqjD3oV4w9BraNPbYYnj2j/Jw9K12aPfAlnD1r45g9HeGaPTc2qT1PxZc9EsKQPY08hz1h0oU9adJ+PTqjgj1aYoc9Zm6OPXWflT2biZc9kk2UPTyifz3ecIA9/wKAPTBRjT3CcJc9KoWWPSmLnz3QeJQ99NqOPea1jT3Fr549DEOdPbPnrz3+irs9Ph2xPcgJmj07OZQ9JwyLPazbiD357Ik9s+SFPTj5jD0rpZA9n9mjPQO9sz0zQKU97+6iPfP6lD37VI49vp2aPQ9Loz3tZKc9AXCdPQ76fD1oMmQ9/210PdCXXz1+P1I9xAFQPTgVYz2e8XU9HhqEPZOagT22RYM9M2CWPbj/qT16+aU9lOCYPZB4jD3Vgok9N0mSPaFfij11gYg9UXOBPdAOfj25DIk9hrWEPTRGgz1lsW89iFR3PR9/gj1wZoY9Jk+NPWVNlj1mEZg90fSbPYlIjT30Xnc9nYNvPZuVcz1kL3E98peAPbE+jT2JiJI9oeaMPW0KjT0n34o9RyiKPRivhz37noE9wWeDPb6pjD1zLYk9Wr1/PfoSkj38rZ89U02cPWytoT0xCJk93bGXPbLwnj2cXqM91WmqPS+PnT2eHKQ91+CSPdtGkT2YJpY9jI2QPXcglD13R5U99GuXPcbFnj1TQ4g9/xJ3PewFWz3NpTA9TeAhPbw0ET2Ajwo9ZXX/PC5yyzxGeLE8MeG7PJUdtDxJLLg8VPOePPTTojzSKK48gRuVPBMLkTwaMIc8D62NPLiXlTygNaE85aykPOImlzzEP5c8c2iUPHgCkzwZx4s8fY+LPDDSlzxsPJo8U5GUPOztiDxqGos8jzqOPIqOkDwDVZA8+eiWPICGjzwWgo084xqLPNiujTwFRIc8xo+VPAZ8ljwE/ZA8bxaDPMTVmTy1N6w8n1GrPM+LmjzdpqE8oIupPDexjjziypo8jjCgPGiflDwqoZY8liiHPD/HlTyO/5I8xzaaPGuPiTyeYpI8SMWdPPEbqzyLIME8Axi6PBONuTz+3L08UbrKPHAg4Dx41fI8LV4GPV4XMT0IGkw9YIkvPRc+GT1RsB09mJQePQuZEz1oePs8lvECPYofAz3D8t88Yj3KPNVKvjxOYbo8hjO9POyi2DwF1tg8HQ3XPKed5zzl5uE8WwPnPEeX7TweU+Q85JzpPHv8HD3VzGg9j3xSPYlt7zy8UfQ8lt7JPKTxwTwTq8g8s162PB+8nzwIcL489O/xPPu8aj2kiiI+EfsHPs9Ayz0pQLU9GmPfPbJLLT5Gejc+IgMWPk2END46Ok0+K1pFPkULQj6lskM+odkpPjQVMj6BwyY+TRMcPokHHz71Fy8+1MskPk3XED7OEiI+nQcmPuxTJD6U2zk+nbdIPq6AJT7Sizc+ppA8PrJsQz4xiT8+6Kg3PimfLD51/zA+dEc3PjTwKz5k7Sg+7bk+Pm4KND6QvxQ+RhsTPjayFz6a7Rw+SuYuPvIiIz7JpDY+zZMxPsUULD54XCI+2eUDPjeyOD7qpRw+/2IwPjEKTT6IJTU+3IUbPlgJDD6rgRY+iuotPgjtHz7gghk+BDkkPpW9JD6ZQxs+KfQnPuMSHj4GeyA+2+IePqePFz59wBI+b2YYPuQiKD5F3Ds+cmQlPstoGj685xY+NWwpPpeiEj48EfY9sGo8PqtKMD7avwM+0IDlPTGNCD5eWS8+aGRAPsH1KT7u7iA+w04bPrr9BD5FKhE+xm0VPpnZZT7Kplk+yFQZPot0GT660x0+zesPPgWWGD6iKhg+arcXPt1QHj7heyA+5pgnPoNrRT7H8z4+7UIwPv8rDD7QRwU+KwEAPsLA6T1MJ9E9euWRPZO1PD2+/w09BfLzPGb4+Dzmp9k8o5LXPCME4Tx0V/I8KlPyPK1P6jwMSOg8+prrPHjc8zyDmfw8zmwHPcO/DT08owg9vCgMPa2VCj39kAM9ZxQOPcfhFj0OSxA9toYVPbauHD2bkx492DQaPWvDID2LjCY9soY0PfKfLT0jlSw9QFkkPejfIz3Lvxs9n2UfPY2FJD0o+yU9/VMsPd7TKz0WOzE9BnY3PXu0MD0fkzQ9DjszPVqQOD1o00I9nKxCPZxpTD04WVc9rrNSPclDVj211Vo9bb5xPe9FgD3A01Y9k7BbPUq1az20e1s9YmJRPfBfUT0SBls900xkPZfnYz2+BWs9SLZ2PYfEfD0N9IA9PL+GPRFUjT07eJE9r8CLPcF5iz2vAJE90jSKPZhxiT1QiZg9zAmVPasgjz0qiIs9blWNPb6Xjj1IWYA92opyPZKbcD07SIE9M/KGPeUBhj3SKZc9GI2QPRVNjD0EHIg92qSKPQ9RiT1Y75o9IKxxPVI8gT2yEG893PtmPVPWXT3iEVs9uMxZPdu+ZT1ckGg9G6ZkPcPDYj2lN2Q9y01aPffJXD0PQmM9VUFoPbHRaT0RB2E9PjRaPWixVj2ASVM9s6NfPWe2Yj3C3nI9fUhlPU/lcz0XuGw9eapcPWPaYT2ThWM9Hx9cPQONXj3EKG89/6RtPYKtXT0wWFU9glFXPR+/XT3YxXM9O5+EPX/ziD1X8Jg9EpCOPdwtbj0462c9ebtiPWw3cD3VgnU9getsPZBBgD1acZM9qz6YPTJ4jD3/znE97Il2PS9Aez2b/oA9JIuCPX/mdj2hlX09z413PfYEgD2syW89NYdmPSWmfD3LmX09EYJ9PUDPhD0A3XQ90YZ6PXdNaz2kuXc9i36MPalohD2Op449C0uQPUKZeT2iCmE9e3lyPXjNkD1LqZQ93dyFPVuKfj2npIc9T3iLPRqkhD3MBYE9wjRvPZ+4dz0OhoE97JeGPf4Ldj2VBW09VsJPPag1Xj0phok9vSuKPV9PgT0OFXc9RHiNPcr9nT3B66k9CIO4PcsptT2fI5o91OGNPSCphD3i2IU9tqiGPZ3QgD3JC3o9PIdzPXW+hT1HaXk9lE+CPQsyhj2ysIA9j8CAPXOygD17NoE9P3BmPZR8Tj0jtlo9bn18PTBOhD0NLX89BBR/PVBYaD269lw9bjNfPdfbbz0tj3Q9ocdrPXB3Xz1fNl09k5pXPaNgWz2+51c9FrJWPacmYz08VFc9LhNbPU5ZhD0bsaQ9AS+YPSL+iT3G4n49tyFxPbuTez3p/349Je5nPVS9cT1zYHA9I7FvPflSdD1rdm49HkxmPUs3aj1Zr1097WddPc1gUT1O0mg9IWuJPa4BlD1Ye4s9I/iYPagBiT1DoYs9EruSPRw6iz10P3s9yeh+Pa2Njz3Q/Yw9BQyCPcrzhT3trI49BZaHPU+ziT18JJE9dJ+OPWpbkD1URJk9LB6NPXtXiT3LpZQ9QomqPU6KmD1crW894gVsPewagj19poY9VMCPPQ7jkj08rZg93f2hPYwPnD00T5A98uqUPV22kj1S/KI9kSGePbD5kD3scYA9bop5Pd8KfT0K3ow9+Q6aPVDgoD0BVqI9ukaePSuMjj24BY09S6WaPW96pD2QWKE9vTajPQahlD1hCps9UTi1PVewnD0WjYc9nK+JPV0Fjz1p8ow9igaaPQI8pD2PEJ49u+6UPVKOgj0Ztnk9vu2HPQ1ekD31pqQ9Ig+jPXtznz071JA9D22TPR3Fkz2aiI89KRGePQ4soD2n46E93JKVPVtFhj0WDY497hWfPf6Ooz3Cs5k9c5efPedmoT1KrKE9LNq0Pd/WpT1JBpk9th+RPQbQij0Q6Yk9cp2LPa+cjT1Kh5M9gwqQPeYQkj0C8ZY9vAeJPQpahT1/yok9UwqKPXK5kD0bm5k9PhCRPXu0mj3ruqI93USXPSP0nT12pLA9b3+wPW7UtT245bo9lS6hPRLWkT0Io4Y9LCaBPVmsgT1qU4w9PXORPeY1lD1QXJ89msSkPbBipj01tKM9+GuWPSwunz3KDZ49NdyWPaijnj0adJ89Qh+SPZp1gz2wSoE9Wt1qPce1bz1ZfoY9aKJsPVxTbT1LvHk9VUeHPae6fT3QToQ9LK6WPdfjnz1aFos9Lrd5PYq9az35k4Q91oqaPc4jkT3Ljow9x2aQPZx6jj3KY5A9ftmWPTTKiz1rGoo9rSKBPWNYgT02nI49j9KWPZzBkD10iYY97tmCPf0JbT2bjFw95qByPakGij15y4o9mNqDPZOMaj2qrmQ9dhVfPQkeez27q409s6CIPZQeiD066I49PwCTPbEWjT2fwZE9NUCPPaHjkz1qMpY9MJuPPXmNjz2acIY9z/aBPSeViT34V4w9sI2SPQpGpj0ZMaE9ueCVPZQGiT1DyYo9jtKPPS8dhj3mXHg9MAt6PTYqgz2Z8149fDVBPVVWKD3C6Qw92lMHPWQqBT28Tus8F/XGPJxXvTxpIbU8xG3IPJ55qDyYeZw8cAKDPGrQhzzj55k8Uk2TPIihjTzlGZ88T3mXPI0lgjzWCpQ8emmlPDvLoDxyPqA8gaCbPCWTozy20qY8KiaePBBXnTwhr6M8nQScPCADjDwSz4g8nJSRPKhTkzxnIJw8Y/SZPHQUkzy/KI88TMeFPC8HlDzFQpI8oqaFPFANjjyLB5E8QI2PPPlhlTyCFa4891esPLD0tTz6tbk8Dv6vPLm+mTzOzp48nqCfPEc1kzxFcZc81deUPPS4lDwVPaQ8tsSiPP5Ykjyi3Z88rOurPOZ2rTzt7LA8FXbGPKxl1jz/RuE8fzXkPC1c/Tze5/48WZQgPf12Oz1oUUo9JEEfPdxjED2y9wo9NQcHPaig6Twp8bc8Whq9PHo4vzznH648zoSvPLc8sDweOsI8M4PQPJfn3zzrr+Y8H53VPKZU3jw/t/E8dE3zPMwu7DwUTNk8eLvbPNco/jxmoUI9LceBPWVAIj37OCQ9b836PHCmAj3PFKs8sBqXPAb+kTyM26k8ffYPPUbL5Dw8qrg93ZDRPe0W3T360wM+2N4dPp+EMT7LASc+XoQuPiz6RT7uBTo+zcMyPmTOKT40hBc+RdcYPk7KJD7Z5SY+ATARPvaVIj6kySc+/18WPtd4Fz58gCA+wW4bPvK5Gz7gxiA+CoksPvHeLz7SCzc+TTI0PmVbGD7a9h8+tOAkPsSCJz7BvjA+MIU7PvzsOD6K7DE+d68aPnbNFz4pYxg+G5UjPnPqGD4AbA0+SLcQPjr0ET52cSc+vII4PubSNz7MrCo+i0gEPkxOJj7JQio+H4E8Pt7GJj5QxC0+sI8cPkQKCj64px4+s2YmPn4PCj7HtQ4+Bk4rPjmdGz7d2zI+08knPpuTEj4tEg0+E28LPkewHj7IJBs+DQkZPqwqIz6p+Uo+/Mo1PmZxHD6PFxg+nc0kPp+jIz5dDxg+ewAqPjGBMT4zdRg+XgIJPsAhDz5pvh4+QaQjPqXMIz6L+xQ++VIfPnsnGD6F9BM++r0VPp1tTz403jA+n2EZPn3NFT7EcSg+FW0aPvtdFT6k+Sw+RhUzPn3/Hz7cdyM+XXoVPmhd1j3r54k9vIssPeTUAz3DHhM9PPMgPT309Txef9080fXoPAr/7jxD1eQ8AULnPEmE8DyeW/w8Fi74PDG9AD03AP08KuIEPVe1Az2DSQs9VswKPY/qDj2JGAs9aqEJPRpfFT3iQxQ92TAKPZEIAD2VrAM9bZYPPeu8Dz0wnhQ9HS0bPebtIT1Z0hg9FoUgPTenKj0yli49DhEnPR7HKj0iVik9c5wtPTSzLD2OJSc9xX4sPRlxLT1BxzM9Sd43PZQIMD3FGzE94dlAPaQqST0650I9hetLPSVgQT1POkk9iSNPPaYvUz0AHlc9VBtLPai4Uz0o21w9hmh5PQJCaD2XMF099XdMPZCXVj1x7lg9QH5LPS7SRz1pflg9VZVWPU6QXz36E2c9W2N+PRVBfT0FPIA9DWB3PZtVgD3bkXw9sZ1zPdQofj2aoYc9zYqJPWdmiD12qIU9X4eKPYuygz1rdXc9oR+FPa+bgT0/nYA9jRKCPepVhj2Nrok9l6CKPUdunD04o5k9GQOMPe2YjT0+N4o9gG+IPVk0jT1KUZ09sFuAPSa1dD3XNGM98wtoPaScdj1oFHg9b71YPZN0Tz06xE495phMPVNzbT21i2g9NuRbPXYFWz1UhFo9d4BfPRbXaD3RgWk9P3dlPQGmXj3guWM916VdPd0bdj0Q0Ww9N51tPU8lYz1Bt109YithPXcbZD1IPGM9rp11PRQqhj0YH4E9Yf1iPVogYz0BnGI9jDVtPR9Aej0RjnY9kFqOPSYqpD3245893SSEPbOiWz3hWVw9Zl15PYFCcT2qKnk9Tzp8PYuMgT1F1449U+uIPYl7cT0Sn3A9jWx/PRJIhT2IqHw9TV+FPWcoiD27WpQ94HmIPYuefj0aFHU9UG9zPUl5hD0/eoM9LNSPPbTPiT39Z3w9hASGPa86fD2aEYk9ZB6fPYxxkz3PP4E9YkxiPaY/XD1qEHA9KAOEPfy6jD1XY4M9GtRwPRO9Yz2yO20983F1PQlQiT3IRpY9C3yUPcC5jD2EP4E9y7qAPbwegT0MSnE9xxBzPSdedz31qoY9bn2EPf7ihT2icYU9AVCdPbbyuT19SKU9pPWVPTPqij3Rgog9/06VPbp9lT2EhZM9MF6OPR87iT0IRIc98l+HPQRPgz0os4E9AR5xPZT7dz11IXU9CF11Pe2OYj06eGA9BSd7PaAKgT1hyII9KtqEPQ9jZj0ceWI9GNplPRGlaD0gk2w9iNtvPU3Zfz3GeYE9jCFzPRpidz0Wn2A9T9BkPbmHWz1MME89sNFcPV05bj1yTnA9zXphPeuUcz2wXoA90T5tPXwPXD1+OHE9COBtPUpziT1rpIM9amd/PbG2gj3BPX09xsd3PeKsfD255Go94FRwPTSVhj2BtJM9/N+EPXKUbz1Vv309GOCUPUaFkT0Sr5g9nXGWPW0fjD28hI097DOUPVrnkT1toYo9w82QPf2glj24q5k959yRPX9tgz1KPpg9aniVPeVvgT29LXg9HdaDPWqSlD2ZxI89XDKJPXfGmj37j5k95HWYPS/5jj15OIg95v2FPcD+iz2SJZM9EeGQPZqSkj1P96k9jfK5PU3orj1Gb5w95u+bPSWBkT08vYs9trWCPSnPhT2vWIk94pCUPZ45nj0pqJc9z/yuPZMNrD27hKA9h56gPS65mD1AGpI9o7GXPSM6mD2tJI49RT+QPRYUhz0szps9XmCfPfR2nT1W+ZM9OcaTPQ6Kkz3XI5k92tGVPfHujD1vC5A9kvCFPT0caj3h63o9RsiNPQQYiz36vIQ9U++HPQ+WkD1CeZs9/36jPW15oz1wNJQ9CpKQPe2Qmj0myag9qNqePcayjz0av449FXOSPZNonD3Tp549gpKgPZxysD2V5q89/b+sPRX8mz0ReYU9hLiSPc5rmT2cu5o9MQyYPXMhkD2Xcoo9cPGCPRDtgj30o4o9xvqMPf76kD2tVYk9T5B6PXMQfD3G9I89p92qPek9qT3PlZ09DEWdPQYfpT0JP6Q9yEaaPYdRnD37k6A9TeKQPV9nkz1QipI9UDGPPeICkz0Z4JE9MWmZPZSdnD02a489a8aTPTBXjz1mQIo982eXPVMTpj3tlqw9H2mmPUeunz2t7549AU2aPYyLjj37EIA9Qd+HPaqohz1UaII9mvB/PRxJbD1Xs2o9U/tsPWkrfT1Sx4w9JTyLPYDRcD0irXQ9f0mGPectkj0b9o09M+mJPT9IdT3fMYE90degPVW6oz1quZU942+FPZzOdz2FfYU9ZTKJPcfDfT3d04Q9k5uDPXdkgD10Inc90rmCPbIShT3++Ik96LWJPTYmhz0BW4g9mjp3Pd4pfD0CAH89fW+CPVZ0iT3rB4k9t3KQPcX7lD1kApU9vgKSPWv9iT3jw5A99AOWPRxXkD1MyIo9xId7PR6zcD0dG4A9My2DPedMjz33zpc9mSeSPapEoz0+wZg9puyPPeiDgD2f3n494JtrPT58Wz3XiGg9jFh2PTLTVT35ESY90yIRPftvDD1V3eI8QzrTPPli9TxB0eg8FjHnPNG72TyrFbc8N8SsPHb7nDyNjos8uEmMPF9liDwKRIc8MjeVPOMLojxEJ6E82rmjPLW7oTx2+pg847WjPC5yozzSZJU8w32VPMA0ozzif5E8FUWcPNjtlzxUSZw8OXGYPKlrljzx+aU85UmiPMWinTzfqpI8zL2OPA+QjTwQw4Q8O2eFPHyPlDzPiow8ubqSPNAbnTzc2pM8XliaPPNiozzE3qk87sa0PNvEszzq1Kc839+ePDdsljzbnZc8PT6TPBByjzyIsI08DXyZPBM6oDyPAbQ8FFnHPACqzDzcb8Q8Jk3VPAQ1xjxcdsQ8H6rnPCyn+DwLTv08afIPPa/iED2JsyE9/ikuPUgSLz3JsSA9lpf1PMm95Dxa3uI8u7TQPPOZvDzoBKg8o3iqPP8ZsDy4OLE8G9ytPHUMrTxdTbY8zlfqPLHV7TxFjuQ885PhPBxN5TwSL9w8CEfCPHziuzwCqs48t0vNPLmt1zx1Evc8IR/rPLdd3jxTk948XbYGPcncFj1+uKg8R6+gPOUymTztF448ccXIPEZx/Txyq2w9PfYIPkw1Jj7a2/89at4CPkA7Kz5b5jc+6CpBPhW2KD6+xkM+srsnPvGzED5oChs+HrouPgK7Iz4BJiM+48s1PvstIz55dhI+XfAOPo7VHj6jSB8+7k0fPrg9HD6KzyE+NS4wPhyZPj5ZWS0+DfkhPi9TJT5uXiA+69UdPtqSKj7e6yo+fKE2PlmsHD5A6io+82QrPhL4LT7rH0M+jpYhPromGj4Oxho+9YQnPtwXCT6qSPs913EkPsGkKD7Ffnc+G9GSPrMwOD7J2T8+kwoiPuBVKj7Lkjo+OGkyPpbOQz4jiD0+onEyPoQMLT4kYDw+0x0UPm5TCT7yRT8+aiQaPun4ID4/2w8+DEYCPsnULz6mzSg+vEsiPoqjIT7pQTI+SaBDPmNtOT7SNC4+9tsYPgnHPz5QZzM++ekRPsigGz4CJho+8TUfPjL7GD7arig+S6M8PnskSj4vBRw+OKsePibNFz4NCRw+d/wyPu+QNT5K+iQ+q5gcPhWoDD56Jws+DxQNPng5Ez5bhxs+T5ckPoLYGT6qSMs9xfEiPZm+qTz5iJw8tB2fPOIrlTz/96c8iz3EPE9pxjyFUNQ8zgnlPLi67zxWm+o8cRrhPKUR5DyFLeQ8OEzoPJaxAT3+zAA9UM4DPX5NET1+UQ89gpURPcEsFD1PnQk9/6IFPUH7Ej1JkRM9YYIMPUj0Aj38ZgE9JngFPSnCDj2PEhk9K50hPZoBIz1EDyU9XpwoPZw/Kz1t3SY9JZoiPdZyIj1w7iM9dQ8hPTM1Kz3TujU942s0PZXKOj3I4z897kcyPYFNJj1F5C49rNc0PRitOz3OfEs9n9dSPTIxSj0cKVE9MbJOPbwUVT3QB0g9LQhJPfUBWT1ug3U9e5hsPctgUj3QqV894i9UPSQTVz2D3WU9QfBQPdtpVz3DEmY9Pq5dPaxdaD2nSoA9aRx5PWgtZD1AmWw957RwPby0cz0MjG096hh7PUY9hT0uroM9TteIPfeQjD3RfIo9OhWRPZXhhj1rRHs9+ep9PZbyeT0xqHc9dTuCPRq+gT03e4A9xZmAPS9Biz0GT409xl6JPa9zhz1LIoc9PpSHPcO2jz1AvZo9StJuPZtNgj25Eoc9cVVuPWvIdT3YVlw9HxFHPW9AWD0uEGQ9VzlmPf5LVz2MWVM9GjBmPTrfUz2filE9RhJqPQUPZD26aHo9AZ16PYZieT1zSm49CnZtPTsbdz27sYw9LC2FPQcmgD3ewG093sd8PZQpgj0xcYc9gRuIPYecgD23YWI9rZhmPZqzbT00IWw9fqllPZr4dT0bwnM9w9uHPVWyhz2WcGI9DwN3PTifcD191GQ9p7uDPWzbgj0r7HY97tdtPbSfej2ABnE9oVZrPYobZz3k4m09KdyDPSONjD08IpQ916qaPWsdjz3dY4M90BWFPVNIiz2AY5Y9FreJPd2OkD3x5YQ9gNt9PStVhT3ONXs9n7CCPd5Bhz1IfpI9A32ZPfyshD0Iims9yOxpPeUGgj3wzoA9mAV4PU9RcD2612k96LlvPV4nej1OVIQ9G1iDPSnMjz2eDIs9izeJPQlohj3ta4g9KbSNPWuVgT0lXn49QbaFPZdTgD3S2WU90ZuBPe7jiz1hGZk9AtmkPQtclz2pxH09vy2APW7Vhz3otpE9puaaPQQvqT0ExaI9ZaWYPQvkjj0P74Y98FWIPZPigz3rNIU9VhmMPazMgT1ft4s92gV9PRoHiT0fTYU9CTWFPfKCkT39IZM9XsqIPeHLhj3DJoY9T9CMPfZFgD1tWmo9yWxrPZqsfj3if4I9/axwPYUZaj3dQG49uZN1PcgzeT2VPX49kUB1PQ6taz0/31892/pyPbKjgD3gG4U99kOCPVYriz3ZsIo9K9RsPfDRWj1qLoo945iTPZD/hj2BMHo9Y+CLPUvimT2ua5M9AKCNPQcwiT0hgIA9h61rPSJYbT2w3oI9pjKPPfBZlz0rAKA9E0OdPSjVkj31rpg9aDGVPe0gjT3zeJI91siWPefQjz31dZQ9T6+jPWzaoz2NuZo9vjiWPXpBkT2mzYk97+ebPUBBlD1upZQ9V+CMPa8Nej1QjIE9Un+FPcD5ij1lppc9cLuSPeYglz3TJ6Y9ZhepPTYSpD2Jx6c9pMezPaEZoz3m55g9gvKXPacYlD2EYJU9nouMPfnkjD3g2449TvudPShUoD2/L6g9336iPZuznj0iTaA9kOufPa3MmT2fj5A9DmWUPQU6mj2UDZg9/p6rPevvqT1BEq098VeiPWCHmT1+vJ89ETabPaARkz3K3YE90L16PeEphz1YVoQ95I2DPeoViT2yZIM9EAVzPU7mhj0ZWIc9+6OGPbTokj2sZpk9HSGVPVPGnT1A4Zw9TsOfPU6nnD1IyqY9kkGvPekooz0GmZc9MeOXPVbpoT3AQaU9sGmvPT3wpT34MZo91SGMPUNDjj1D2JI9y22WPQ5Qjz08VY095OiHPTjVhj2IIY091eOOPQx2lT0AHZU9gqyKPSlMiD1AdYM9vASHPUqcjD0zLJU9ctySPQUWkD3n0Yw9cnOYPTmenz0FQKc9Z7ilPVLLmz3lWIo9tZmOPbF7hj2kE4Y9s3GPPYnPlD2CpJo9hGSgPS4QrD03F7A9bSWyPQfRoj3Il5g9tgubPRFIoT3obqY9D7yPPfSCjD0505A9ekKJPRSsjD3bp5I93pyFPR5reT25oXs93j+BPcp4hT38unU9CyVcPTFWhD0seoA9pAZePcz2aT392ok9cjWDPfTpZj1itGk95v1lPcgGWj0SwGM9kGuAPSvhiz1v6ZY9xTuTPQ/nlj39WZI9YPiHPZOudz2m+3k9z+xxPRhocD0UrYQ9xq+UPZkIkD3b7Y89N2CPPeWajT0884I9BcaFPXjpij09hpA9cmCWPU7TlD06LZ09CfmlPUiYmz04kZk9hOmcPXAZkj2n5ow9m86EPd5Xjz0V5Ys9K8WDPeqziz3404o9aBOMPV5hjz2mRJM9TvKSPTrSij1RjI09IbFzPfb3UT2Kikw939xIPZtBQz2Q8j898tMmPa3iCT3OVAg9bW8FPX4SBD1CheU8ZWa+PFYMpDwIFqk8aRa8PB4q1jww68k8dsCsPOorqjxAKaI8YaiWPOuznjw7dZI8sweVPNDjmjzJD5Y8c/qdPJkXmjxqUpU8muWUPKFogzzR+KY87wiaPFiqijxESJI82DCWPB8ajzzXKpE8JKmaPAAWnzwCSpc8VAyUPOdnmzyOF6g8qk6TPJOfhDxrW4w8UVqRPFxNhDyvm4Q8kSWIPO2QhTzWFoo83PCYPLX6kjwYKZU8jiOSPDJflzwxKKk8IyCrPC+tpzwahJo8+76WPMU5ijw3kYk8cYOTPBV25zyT+Qg9xp3mPMiF6zwqIt88bkLlPITn4Tw46us8Rxf3PE6YBT26YQc9DP4VPWIKGz3gAxY9VQAKPXPkBj2BnAc9NHftPNtS6TyGpu48KmbBPCkxqjyMS6g8DGe1PPbgxDwOGrY8vw+1POgrwzyr8b08tQPmPHsQ5TzQrdo8MDDgPDptvjyE8qw8IiG0PPsQtjwL8r88jwTKPI+OwzzBruQ8YfgFPfPu/jyJKNk8He3HPKALyDzeErY8BSizPKXnqjxbEJY83bqbPMiE5TzQ0fQ8iKHYPZ0iGD598ew9dmQCPupRJT4wyTw+Sc4zPpwgHD6nkCE+0AkVPjSGBD4+Hhs++SwgPgLgKj481S0+5oQaPsIOIz53HRM+fdMQPpv0Fz56qRw++pYnPkkPOD47UTc+ClI0Pn/SOT758Ss+LUMrPgblIz7cixQ+d+slPm90Mz6gnDU+pKg/Pl++Jj4JzCY+H5IePhF6Iz5+4xM+s4oRPtDBHT6fnh0+gIEfPtZ8CT4nNAg+rZslPlNBMz5sgoM+hWSNPiKtOz6WfE0+TlgWPmBNLT5LozE+RDgMPtAXCz5W6is+yPs6PjVRGj5gsig++kkyPqRzPD4HVUs+5j1CPiWUHz6tvh0+dEMOPh/nJz6hXzs+JQMQPtWlFT7RIR8+uLkiPp4FOz4Fo18+E+BKPnJ2MD424hs+sPMcPlSUKj7ifB0+zbsaPimAKT6sESM+SUQhPpGUDD7rdS4+L4VDPm8pKj4OPiw+NjdfPo44TT4ha0E+HMkyPoMWEj52Vg0+JBcVPovpHj5p1CM+5kUqPkHs+T1hUpo9wjasPP8zpTzjKJQ8aQSHPImQmDxgGKw8BySzPDcjxjxJtcs8ZYzCPHFTzjwJVtY8EAndPM7A4Dyf8uM8qdf3PFkS9TxHo/Y8oRYFPVWsBz0/nQg92RIMPSgtED22BxQ9Mf0LPRM/FD3Gvh09xR8nPX/5GD25xhc9YO0VPQRpHT1KmB89QeolPTlBHz0l/yo9A9YvPWh+KD3HCik9kq0uPZLGMT0T8Dg9h40wPTMYLT0KNC09fs4zPdQWPD3+wkQ9ZE4xPWfhMj0yJz09sP5KPWiaUD2bGkA9/nZLPXPdUj3Is109uuxZPcOsTz1NKVA9EmhWPZDOTD2ZlGc9+2JgPUYtRD2+fEQ9CHlMPTEIbT2Sg189RuxIPVmKYj3VzWY9Z/9fPc0JaD3TW3c92CGFPYXNjD1dy4g9xUx2PU8MaT2+T4Y9SHiDPZZtfj0o1Ho9wRCHPeC3ij0cF4I9eoGEPTfkhz1EG4k96GCAPYiTdT0DmII95oKEPbxMgD0ab3w9YWmCPWWNej0GjIc9YhiJPU1ufD1wqXg9SYN+PTd+fD1SN4Y9DriAPSqlgz3wwWE9JmdlPdp+az1do149N7VUPaRSUz2GjGE9gURgPfV3bz2qgWg9l+d2PeYseT0OQG09WZpvPUY8gj1esHA9MT16PYmgiD0f1nQ9chJ4PZS5dD0qEnc9r79/Patqgj2QiHA95BR0PYMCeT34vGg94S9lPSyIXj1xcG09fwx0Pb9zdD0MqoM9mwaKPVpzhj3mBYg91fmIPanHaj1dVWw9K51pPXBubD3w/os9/GeePVEgij2yc2w9ek5ePTLLej11gWw9yp5rPYj1Zz2wjYE9MYqMPXrChD3MtH89m3x7PdL2Zj078Xg9Vvl/PcEyjD1Azog9RAuNPeI1iD0AY389of6OPYXUiz35p4c9K7OTPTVykz2PAYc9JOh+PRabgz0IA4g9mYuAPZlpaj2WcnM91ixwPTd2bD3F5n09XeCBPRa+bz1u0Xo9Y56EPXDKkj2z5os9RgWEPf3mhT0CNYY91paHPUr3hT0honk9E7OKPZK8iT3FMXs9wQV8PdpKhT3XdYY9q+p2PT5yaz00D2E94Tp6Pa2wlT3NR509lUCvPQbtvz15nqM9LOSEPbeudz0q+Xk9xt6JPVvmjj1tvo8997qVPc3Ajj3X8oM9IIWHPfy4iT02P4Y9ast5PeuzhD05kpw9nwyePZsMmD01kZY9zoV8Pafzaj39RIE9STiJPeHQgT1bDYI9CS2BPTZsfD3j8HE9TQdvPce9aD2HdGQ9nChmPeldez3tu3w9MyCKPSJXkT3nT4c9UWOFPYG1jD1Uxow9NGmEPZAugj2/1Iw9ZnqQPYeTij3c04A9B1KGPXmrkz1DOJo95U6PPUddfD3Sr3Q9/yJ+PSqvij3Gr5U9QYmdPSqTlD3J1Y09fQ+EPXbOgD3wCZY9KsyvPYG/pz2/FpY9r5GQPXcYoz0XT649xTWaPaXJlD1qGJo9CXCePWZOmD0zt5w9aUqWPYwxjT1EIIM93QKDPS+yhD0yfpA9cG2TPV8tlT0ACa893B2/PZ+WrD2fOaA9PISbPSJZmj1fu6M9IkWtPaU/qj3L67A9N+2vPSM0pT2N1qs9i3GbPQjulj2ak5Q9LeCaPZacnj0ohKg9y3+7PZ1erj0Hv6w9XdmjPeZ1mD3d/Y89bUudPdn8mj0yX5c9CgeXPWCFpj28250939mOPXTEgD1MQoE9JTKCPXEOhz0zqoc9TP2HPT4ngT11f4c9ofuKPcimgj296X09LUCDPWtdiT3meYc9kyiDPQXxhj3OeY09jOCWPWbIqT1AGrY9jBC4PdhPqD2Maqg9Mxm0PQO7qT36HZc9DVWXPX0Zkj2CU5A9iO6NPdzqgj2/SoA9Cc6GPR8yhT1pmII9VhSEPXGaij11aZw97/mTPbHbjD1KSZI9+9aZPQl5jT3TYIg9MV6UPfRBiz0MWZA9zyqTPbe1kT2IgKM96U6pPd1qmD2kLJI9BuySPcvWiD1x+Ig9lEGRPcPclD1OqJI9YuuUPd66lT3di5A9/cGaPeMKlD1F2Zo9ssOgPfLLvz0R0bY9Xh+iPcGrlz3UupM9S8SUPWpIhT2Mz309+vWBPT3UjD2cRo89V8+NPWU2lD2WqpA9bEyYPYXEgj1w3Hc9/4FvPQ0tcT20Lng9rzNqPXO3aj2fQ3A9ONNqPVimVj3etUo9sto7PYpUQD3aa2c9SiqAPY9raT2Ks2w9xzx1PRp9gz37NX49h7F9PSYIhT1dgIY9egOHPTAbjT2Yiog9uS+DPdaTiD0mh409Z+mePe4xnD0PYpI95aGYPexPmj1vNo09qKaPPefpmD354Zc936WWPbKIoj2u6a09DW+yPS4UpT0bmY89KfaGPW/0gz1EYo09VbefPR2fpz0QvaQ9Mr2QPXAPgT041nM91iV/PR9bhD14rXM9FiRPPeSpRz0x1lM92pJSPagQMz2xZSI9uUIgPXWTFj3OVRQ9Uq4dPUkVEj24yh89c+QVPQKEBT3A3t08vxjZPLMhyDwG6rE8C9GvPHdctjyhd6M8QqChPF51nDyut6g8RxSjPHDvlzxSwY88Cx6PPJFjjzynBpU8dgKNPN9CgDxDApI8uX2UPGIDhjx44pA8i0mIPDbyjzy+W5I8A9GWPEZYlDxa4KU8542iPK47njyy75M8NY2PPAAbljw5yo887FmOPKccijzp5Is8W+uIPC6lhDwthoo8IJaWPCqnkzzhI5I8xO6QPLN6jTzAgIk8gZ6APDf8mzxoV6M8l5aePI/ApTxpaKQ8rYu0PJgOqTwyN7A8MhKgPEvvtDwKCek89gEEPShyGT3IswE9sFTdPEBI9TwbOAM9askZPXfRHD1cOAs9bW4NPQpQAj32+NY89XnKPJaq9DzRewg9+3nzPAEF2zy6FbU8tg+pPAPmoTyYLqQ8wVywPDbSvjw7ebA8EqqxPE7Kyzw8w9E8wvblPJLM9Dy1ntA8j07CPHZU0Dxdf888dTnKPBIauzxCn7s8HavGPC5TzTzfhvw8x/7oPASuzDwcvc48zZ3HPNYJwDwxhb084bfgPH71sjwPvs08bqkAPSXTrjwfpRk9KvPwPe369z22+wc+CYYZPpK6Hz7voC8+X/MtPtWkGT6q1hw+dj8bPokRDT7M/Rk+o4A4PpjvRz6WAyY+oJ4dPu8WLT4Q8SM+JncfPqSXJz6TFCI+9ucmPkDUJz5C4Cc+UaoqPgAvKj6M4i0+8YEwPtdfIz76Gyc+8xw5PoL1OD6mPT0+BpEzPos5HT5LqiU+DJgpPgo6Lz7ZNSM+WGYgPndEKD78eCg+w/MOPnAQDj7s0hk+Z4EXPkOVCD6/2jA+sZJXPnXxST69oB8+i2NRPsHcbT6y+is+l0IePjPNHz7vGzM+jjc1Pr8PPj4jL0Y+/ts7PjOGOD7Qux4+dNAtPpvvMD5Q7zI+e+8rPiEVJj580Qs+XSImPsZVMj6EuSQ+WhwiPrSzFz68jFc+e8Y8PgLpJz7cgyY+XnMMPiW0ID4CkjE+lmAbPqAfGz5A+hs+EfYSPk53Fj5mc0A+cYhBPjDWMD5k5zE+NsJOPuwCUj7qlkI+DUcyPg9CKT7GqB8+IIEGPjk98j2WRdo9YsK/PbzLbj1sLO08WhKQPB80gzzqZZs8XK2pPCNHpjyw/rQ8gPq8POkquzzRxc886G3WPEhh2DwWZfE8ZazuPE3E9jyCqfk89q7tPCO4+jy+9Qs9zkEUPf6/Ej39rAc9iIoKPQHxCz1zEQ49QAsQPYpzDj0B8Cc9uPIpPd5zKD38Yyc9qsAjPe4eKz2aWSo9A8wmPbLuKD1wGiU9VNAqPU1sLT32DzU9XXExPancKz0M0TY91DQqPT6BMj21bTA9uRs1PRVmND00My89v+IsPfFlNT30r049kulWPUVCSz1exUE9uz9EPYPOUz3vxVA9zHc1PQqVNT1SSUE9oC1QPZM/TT2nET89rqM8PeO2PT0w+Us9I4pQPZ1dUj0mv1s9Cm5VPTOmbz0Bc4M9CfR/PRc5gz06znk9wimAPRxugD0mw3w9AsR2PUoMaj3tyXY9gCp6PTpjej1VSos9nD+OPSkagz1zjG49JuhxPc0OdD0THXU9arxyPdPkdj3KlIM9K5iEPXPggT13Q4E98DeEPTEuhT2/WX49Ibp9Pbd3Zz3lDXI9e1B2PcpwbD2RZnA9QPl9Pe9xdj3dfmA9uRdZPR6VXD0P7lw9FXJgPTfaWj0U4Hg9BRiAPQCWhj2SvnI9AbxoPaqsgD3pt3c9oBRoPXvIcT1lrYA9AouAPQBmeT3twGU9KHduPZEgcz0wRIs95jyEPV/WcT2tlGw9X4duPZPjbz0GX4c9DoKPPU1jdj3YaXs9ru94PWJOhD2rFJQ9eRuMPU30gD1ZNnA968t5PX68Yz2RtW097jBpPcyvhT3hpZQ9BSuMPUA0aD2gpGg9LOptPQasZT0sCGk92j1vPaSHbT3Pi2c9BxRrPRJzYT2Lvms9x8ZyPe0mcT26W3M9gg+HPSUljz3ZyI099amEPatLiT3GXJY9P9CaPfAtgT1uxY09bteePZRmnD0UYY09X9iFPeIVeT2otnU9Cq1tPUYZbD0QB2093V51PRZqgD2mNYk9dVKUPSWihT2ZiYI9sACAPeuvhj38nIY9gdR4PSzXcD1WtXs9kHx7PePBhD1hb4M9dJWIPXwmfz2a+WY9cDB3PWY9gj2O+4E9yUOGPTPVjT28v5c9XcCaPR1snT1s9nk9HRF/PRKYgT2QZVk9cUZcPZarcD1XrYY9iNuXPYxokD3srYg9WvKQPeRuiD2txYY9auR/PaXAgz2oiYc93LmJPccgkz2Z+Jc9H/iVPYY0hj15E3s9ysp7PViGez1QJnU9EjhyPci7dT3hPHM9CZaIPQLxhj3qr4E9nx2APepXiD1qgIk9KXKLPeu0hD0afoc9QKiEPe2WgT0a3nE9rbiFPTAWkT0VbJQ9sCydPd2hlj23woo9HxSGPffiij0H2og9A2SGPct0iz0E8I09kXWJPRHMgj3I+oY9uMiNPX1Riz1ylo09T2qMPeHAhT2i5II9V8yFPV16jz1sfaM9/TiyPcAyrj2ajZY9WoiWPeTzpz2Uaas9u/WYPQhnnT1/QZk9ArGVPYSKkz2p/4Q9jqt7PdHseD3elYw9McyQPek+lD1kWIw9J4OaPX2joT0dZ7k9mIa9Peisrj1Hl5s9P9igPaFfoD2zDq49zkysPSLqsj3g/bY96y2/PS6xpj0yPZ89V5ukPSkHqz3x7pc9lqSpPT7Mqj3dMpw9O/ejPUQMpD1o85s9X2eYPbijkD3ToI09EvmLPQ5Sjj35B5o9QXCZPfh8lj3SZ5M9aKmAPY5Bfj1EGoQ9JGGMPRw9jz3kXZA9gyyQPeGDkD0HIpE9w258PRMPaz0Mm2M9YBJqPasoej2MloA9Sh11Pb/Egz21hZQ9DMSlPVpfmT1OqIs9TomPPTxLlD0NT5I9eOCKPUotkD09T5Y972aePdTNjz3KyYc9UHuMPb6tiT27RYM9O0SSPUGRlT3uMaA942eWPSVPij2C7JQ9N42NPZsDhT26OIw9xOWTPcqZmT2dFqE9P+GrPQRNlj1zxJI9d82UPXwZmD39e6A9k5icPXjElT1FPJE9gBuQPXSegj0+JIs9pN+YPfl3mT2T6J894jamPe4Olz114Yk9e0SFPSLDkT0Xa6o9Z+2uPdjOrz39JpM9BwiSPYt4lj03dYw9eo6EPaPZdj3bRnE95JuMPS/GlT3HiIo90z92PWJugT1QQYc9yM2PPcNFjD0YHYY91RZ8PaFNdj2s1XM92KiFPb0RfD3hAXQ946diPa94Sz1G7Ug9z+ZUPTHNXT0pCIY9GYOKPQ3kdT0u4m49qj1+PUFffT1URmo9/zyAPYhzij1lpYo9hciLPQI3hz03coo9snWPPehulj1yipI9J0yTPezkij3DbpM9wFiWPYvWkT2Fa409hNqMPaUmjz3CxJs9MUivPWr7uT13wKY96fqgPaTAjT3dS4E9RbSGPfwniz2U/ZM9a7GcPcWilD3Keok9xu9nPfHAYj3YDWI9n4FoPbnESz1Q4jg9uS0sPbswJD3L9DQ9ycc2Pc3PEj2Tig89vHIJPWGuDj0wVA89nEoOPenIIT3VCSE9gLYUPYrlEj0kZgM99LPUPLbcxDyNLMA8bPy2PNAktDw80qE8WOCZPJ6lpTyfOaI8YyWrPPp0oTzNk6U8TkakPO4tnzxdSpU8uD+WPEprgTzg8Is83FyJPEUchDyCGpA8dAiRPL4ejzza6qI8HpafPG32lTyE3oQ85BGKPF8ejzzNj308zcqJPD4+ijx72H48DXJ2PDl/iDyoFoY8+T6APP7bhzwMJoo8FEyLPJ2acDzN0Gk8+6B7PIMBgTwrMXM86CSMPHopqDzJSqo8mNGiPEq0kzxwl508azm/PD3MwTz2s9Q86pa3PO/rpjxYS8Q89UURPazQOj35kAc9h1EBPUMmBj29gAo9p5EhPV4MFz2N/uw8rezbPAMq1Dy9z9M8a6ftPCRW+DzNes08f2+mPIiWqDx0Aqs8GMuePB8bszwmALU8jYC6PPGowzza+MQ8eonDPDq/1TxP9d08RabgPFrz3zwMYc08bvu5PKQxyDy1aNk8D/n+PF61zzzYrcg8XSbQPMoeyDz1IdE8O6zFPO7+uTwQpMc8csu/PMv6rzzCmbo8mb3EPL3NAT0ci7A9Oj7tPUTCdz2+S5s9Fa/fPTN1Bz4WRRY+d/QaPjDjGT6sKyg+22whPjicAz6vOkI+sERCPrq5HD6cMzQ+/Ys1PsmYHz6/qys+EUUrPqkuMT6qLR4+9F4gPmYnJj6IZw8+Nv83PlmRNj6wojk+EuQvPpINJj4JDEQ+nyFBPryvQD5A3zI+9I8pPk3zJj4fgDE+bfIuPtcsFz6s8xg+xYcwPo7BID54qB8+9pocPhfKIj7Diy0+H94RPlB1LT7HfHQ+cRxMPuRIFj6EJDc+Bk1cPk/jPT656Sk+7H0xPsfAIz5Fmx0+XVYzPtqWLj7WzC0+00c3PgGfQD4qHzE+5I86Po0qaD6/DUU+xVlEPvDrOT5OCC4+hNMkPoa7Dj7GKgc+sRw9PgKBVj5FxTM+5C4vPmEBMD5roj4+NsUtPjrMHT4VTxc+q+UXPqNNGz6xxiQ+Fh8aPoijHz6uby0+8+EjPmgrKz6wkCw+BkRBPr+YLD7E+E4+n/ZUPmDrPj65NhY+Bv3VPe48nz2NbEM9N0n0PEUl5zwyDdU8eYzWPDjZ4jxPi+Q8XPLOPOxX1jyuIfE8L0/7PMMi7zxMVuM8uqjrPFPZ/TzeeAc9P7UOPXgoEj09HxA9n2oJPYZ/AT3TUgo9/FoIPTydFz33SRs9Oq0XPXYQGT2M/hk93JwdPbcQHT3PiSE9aBofPXsgEz1nJRI9PiUWPXQgGz0DJiA9KjUlPcgXIj2AFhw9LaYiPVKiMj1n6C89hLQ8PScBTD2ZST89q1A6PVKAKz16sjQ9lAI9PZiEPj0JBzs9/vE7PcfNOD3xqzk9lds8PcpoPD1pgmE9AIdjPTCWSD0shEA9WGZKPR4xOz1FkjI9NLA5PeIPPT1HMUQ9BRVoPRZhZj239kg9oh9LPfCSSD0YjVI9iXlNPes1Uz0gRmY9FP1cPV7qfD3Wo3s9bpF/PV4DeD2H1ms9uGaEPdf3jz2WL5M9VJCMPfgtiT2Wk309a/l6PQv3hT2i55E90COGPe++dD2HoHU9+rhxPfziYD3/qFc9orthPSAucD0a5nY913xhPXiAcj2htnk9m4d+PcPwhj05YXA93sVePUcgXz36zWY9FoOGPV/Agj2CoHg9qlRKPRcFXD0/B2U9x0NiPVuqYT0dqWo9AYt1PRy1fT3Pd3c9H1RlPQNJbz2UP4c9qkKLPYxViz2Iv3k90sCCPcWYiT05lIw9ipV0PQGpaT30OnE9+vCGPQ4bfz31aIY9ACOLPftvaz08P1o9vLVsPfyggj3vH4U9q7R4Pe1Uhz0/HZ09SNx+PdDyhT3Rqok9QSV+PcDwcz01IXc9fc1xPWDfXj2jEF09N9RmPYEihT1l9H49dKl1PYzPbz1TSXM9w0dePYKoWz0Rwl49Ia9nPZX8VD2wzVk9WyRcPdusZD3rrnI9gbB5Pe4IaD3A4IU98FiCPdoFhD10gJI9P0WePf3FnD3Bk4k9LcqNPZrfiD15VYU9k1yDPZoHcz3wZXc9frtrPdhCez3sPIQ96ht0PYkJgD1JFns9FquJPYkZkT3DVpE9a3KQPV6cgj0623Q9gV53PfkDfD3FUnw91fhsPTQTdT0Dvok93kWQPeskhj0tao89NhV/PapNZT3QdIc9TXyFPS9Blj3xTJw9llegPe7Woj0ckp49XB+WPUo4jD0HOng9+sltPbJ/fz3GF4g9mFiXPRadkz3IZoo9xkmAPW/IhT298Iw9Z3SGPQHhkT2jfZU9sxCRPeeelz3/r5w91vaVPfUkmT3RmpA927yePTIpnj0AD409wB92PVBAcz3Zg3w9AEd6PTaYcT1i6Hs9YkmBPQNMgD1JZIs9U5yQPWfPiD0MiIg9w2CKPVDHgT23ZXI91MN0PeVCgz2Z+4g9laqYPbRvhz2KC3c91dt4PdRaeD2OE3w9nLF0PRqCgD0WQXE9gHJ4PcX/kD1rD509JRWIPR42jT3nuIU92Ix/PWQdij1uspA93d2IPSJDjT3AcpA91caPPRuTkD27zJg9rZWZPa6klz2ZeZU9ZtGhPc+ooT2ij5Q9JlmKPXVMhz1BzZA9wlOSPZYWmT2Bbpw9hn6VPUN1kj2vi5c9eXicPcrMmT2inaA96lehPVMYoD20j6U9H+euPefjpz2iKKI9WnKhPfbopz0U3r89ay25PSujpj04TaI92CGmPVUzqj3LqL49d4WtPSLWnD0SZJg9nU2OPRD+iT15AoY9c4KPPQt6nz2YFpg97COKPVzghT3ERoM9uwmGPYC7kT33TKU9j9iWPaHHfj2U94I9UfqDPVI3hD3LS4g9B0+RPW8OkT3v5oo9p5qBPcFVhj2+WoU9V595PeIaZD1qyGw9mx99PSd9hT0z4Io9ROt5PS2JdD3ykoI9KFxwPeYYXD2K6mY9oi11Paorhz1l1ow9Yh+SPXcylT280Zs9PrenPeJUqj0+oq492IGjPR+epT1MiZc93cCSPWmAij1Kioc9VTmQPQNejT27IYY9yNCUPbWQlT3Oxo89IuOWPX2Hmz28V409ZV6NPYOPjT07/IM94jmNPdKpiD2vZ3k9mTF+PdHBgT0IUn89nLZ/PX9WiT1VMoo9T/KBPXm2fz0QRok99naRPZs3hj2NUY493feUPSR2iz2y1KE9BHi5PaHstD1XQp89yfiHPZW+fz36BG09IH1uPY2CbT1i4Xk9qIN4PXVWdj28gH89h2iEPbncgz20p5A9f4+jPZcgpD1v2qw9XBmcPUz+lj2hlJg9cKucPXzkfD0Y7l893kRdPWkOWD25FW89nDF7PS/chT1M7JA9IaeTPZCyiz1DooE9k7FpPVjhbj0fU3g9MKmGPU4ukD2+mI09rCiTPSaWmz0d1pc9o+GePV4lnD0T2pg9ZeCUPVTfkT0LkYk9CJ2FPUsanT32nJ09jtmTPXsNgz1mb5U9FUeoPdbkkz2Veo09PYiJPQZcgz3FHoI9qCuNPV/Zoj2q5pI9jdKDPfkDdj15w2497IlcPVIaXz0UE1Y9oKE6Pe0sIz3O7iI9zuwkPeb3Jj0FeiI9ZhMaPbLaCD1p0wU9xA4RPTJ7ET3IbhM96YEnPYK2Gz127BM9VWYAPY5O8zwxDN08GFW/PEljsTxSy6o8TtqdPMDSlTywHJk8ysqcPOrClzwuu408VEadPN3EljxPoqI8crmrPFiUrTxvm6M8TvaGPO+TbzzFs5A8tBqaPMn7kDykL5A8KSmEPJhAhDzGZ488xXqMPHEyhzycMGs8yh19PHLKijwlw3s81u1wPC6gfTybxoc8NfSTPOr/kTwaDo88/MaJPDS5jTz/RoU8DHOGPLMVbDyfaWY8PD5yPH2wgzyPgos88xeJPEzYlTza5aU8mUawPBzWrDzvAq88hlimPOS7tjyYVc08KIPRPBLZ0TwQmOg888QOPb8/HT3I8vg8lIHSPLCk9DzT4wQ98scPPSl38TyPeL88n8nGPNwW1zz7rts8TKfJPJF9qzydcK48BeyiPDM+pzy9Gqo8WWS2PIK0xzxDC888UsjgPHd48jzrkfA8HDzqPNya3DymRdA8qtTIPMsuwDxWDMU8Eey3PBvcvzzezNI8DIrOPGF8vDxMv8g8owDFPG/CtzwrK7w8sSG8PLKuyzymWtI8AbS2POY/qjyxm6k86xLYPKvUaD0XUOw9fJ2wPSO7Kz1CumU9g6CoPSvvyD3Sc7g9g6YIPnSpFT7lExM+hCsqPoWVHD4PRWE+AaBDPgQ5Ij6ZEC8+Nk8sPtN6Lj7ePyo+lmQnPoLiKT5Qyxc+/c0ZPnC1Ij6v9xI+GDIePj/kKz7x0zw+VRMtPuBiGj61dlg+qvx3Pp7PRD6MUU4+4Y89PuSxSj41tj0+GQAvPiJpLz6lVxg+jFchPriPKj57syE+7k0xPi92ND6A1xw+sWokPqVsWD68Qj0+gf4PPgmXCj5JoTU+F9YoPsm6GD5RcTQ+C6w+PnG1Kz5sCiA+P50ePvRxGj4taBw+O64ePvuwUz40t1M+PZJIPsXtKz6ckRI+puQlPkEpLj5oBjU+UVcsPoTPDj7wgg0+M2E6Pt6iNT711So+iEQjPpn2Nj4xvzk+a5YtPtYGHz6nkR0+VDciPilYGT7FZRU+rIckPln4Iz61xy8+v4UrPg6PJz5Scik+jwkwPqvfID7mEwU+lVjJPaxpcD2gxgI9qVbMPOh6tTyWX7Q82lrEPIEw5jxjdOM8DXHfPMjZ4jzXhek8IgD7PJGXBj2l0Qk9N4H0PDsD+jx96wQ9xwoKPeuaED07GRE9TXUcPUX4FD0o7RU9regXPZlKEz3DkiE9OoglPQfJKj2Jsi49ig0nPZbnLD1/Ric9HCkoPV6jNj1j1C89FX4kPZkfIj3q/y09IaM5PUcCMD3+ay89SBk/PfHSPT05djY9mbIyPWuQOT0HHz09+zRKPWj1Tj12VUg9eGxNPcDHRz1YQj4966U7PQj8Qz2QyU09VWlAPXFLQz2760U9JyRJPbnXOz0mpkg9JO9FPec7Pj21/DY9lqIrPSvKMT1bOTY9DHVDPfAZQT1k8ks9IFpRPQVhNz3uxUA9cvFJPZagUD07J109grRcPcTMYD0o2V09ihVbPXfHaT2LPnU9U7FvPddxbD334XE9v+h+PQp/jT0ulok9sxNnPeMqYj1wJWM9BHJvPUqGfD05h289nmRZPXaYVD0Dq3U9FbF/PalPcz38dHU9BxV0PY8jaj3vYnY9vhFpPbOAeT0KMYc9zcaHPTADgT3rS2Q90wNaPXUHVT39BmI9Xxl1PSJbbj3YvWU9OwhwPX8ebD0YSF495+BaPRPZYD0HS3s9zst7PYPHXz3vzFA967BcPbHTeD2mgXw9W9x4Paykcj39zng9n6COPUXVjj2REns9rFNzPaKJgT1N4nE9S7KBPdi9jz3rDoM9TK1sPUNhcD0seXE9AgaEPcqlgD00g4g9f2WRPQidij3ckog9RmWHPUd3fj2rk2Y9GSKDPSoVhz2fA2w9uSxSPQJfUj3/SGs9ndJ+PQbqeD3E6oA9cL2QPU3XiT2IbGM9nfRXPbg1Vz2tyF89jVCAPUQShD0Xa4I97g6APYzaej254IQ9klOCPekWhj3qJYY9QRB1PY4Vbz2txYQ9K3aSPVNtcT3GYF09DgpwPTlxeT1ZVGY9UvJpPazkcD290289dMJ6Pbzwez1fkIY9Ep16PU/Agj3MTZE9FUWgPdYxjT3RsnI9c3JjPVRjaj1DwnE91gKAPdN4dj3dcHI904J6PXYfij2+eJA9lbqVPWdCkj2BC5w9sOyTPZFuij020Yk9fs+JPTrbjj3CkJc9ldW4PbuOoj1mcIY9zrCHPetEhj2XGpA9BsWJPbHCiT3zV5I96BKUPXWfkz2t85M9qJuPPU6/nT3HDqU90dCXPYy4kj0tAp490TScPb0lpz0/Aak9nK+aPeY7lz2iz5Q91UR1Pc8Ebj2ATH49MciLPZQHjz3WRIw9v92BPeYreD2adWo9W9SAPTklhj3wL4I9P82GPUPbhz0Nx4A98AOfPbGOjD1+hGk9PudjPai/aD0iM3Q9JtxpPayRYz0qtWg9Tqt6PXjMgz3CE4o9r3KRPcW4fj3P7XM95TaAPWGWfz1kR4U9qkGCPfE7gz1lMJM9aCeSPbrxmz0xnqA9ZF+aPQxEjj34DJY9Uj+cPcFdoz1SL589JXevPdoZsz3Bzqs98xKiPdJjpj2k2Yw9szKFPQn1kD1jz6I9STCaPbdXmz2aIZY9dHGTPRP4lT0P3KU9DVSpPQLbuz0+MrY9In26PU4+uD1dgro9cb+5PXdMoj2hJZ09gCXFPVdKrz2Y+qE91U2pPYxMoT1H0p09YdmcPQm+oj1+Srs9zEOjPZIqkT01QoI9BvGAPWTpgj2KD4Q96PKPPVB5pT2E7J09qA2gPUDEjT1lO4Y9uK2OPdHPlj3u/pA9YTaMPVkuiz06PIw9xhCEPf6bhj1MTpM9+ZiePTFKiz28rIM9DoJ7Pczygj0tanE9bQlxPR5JfD1FI4c9pLuEPdPAhz2RT4E9nI9mPeNaaj0/D3M9/TGAPSy9cz0V43E93L6NPQaxlj1YKZc97BOJPfdjkT1Qyq89HpHAPZjUrD1jL7Q94wKsPcF/jT2BsH89SVd3PboGcD13TIM95/SNPdswez1UQWw9wiWDPebwkz0u0KI90+WYPdNwmT1y9J89rumIPbzgcz1mP3M9AhhoPYcXcD2UTYA9bPKIPWoLkj1sCIs9TW+IPagiij1iuIc9JvCKPZOHjz3Lg449wk+DPVkWhD0uqIQ9pyuKPaT3mD2fy6E9dWeXPVhxiz2aDnI9AXJpPZWaZT0LEW095CFrPVc2fj0bSXo9q/dyPVXQcz25zIo91jiRPR9clz3M16k9RkmyPaPYpD07BK89xdShPS/Siz0bCIg9KhOAPSxteD3NmoY9BLaMPX0ihj1NEpE9NjiRPQimkj2opZo9Y4CfPW83jT2uKIQ9TfhvPaH/hz0gho49roycPTJLpD3K8qc9N8+aPSVMmj0fDp09GyGbPe06mj3QyZE9XbOSPb1zmj0375w90VGdPXWFmj3UIZc99l2MPRzrhz0EXI49ZcKPPeWcjj20LYA9xkx1PcT4gD1VgYQ9Y6qFPS3NhT25yoI9QWV6Pcx/aT1Jtls9B+JZPaoUUj0GJjc9X8QjPTDCHz0uoSE9vOkiPRD/HD3sPRo91uwLPcPOFj0JfBw9fF8ePfs8Ez1sdAI9DEYBPTi03jy7eMk8gsatPDsPtjxXS8E8kdS3PGxkqDxTipY82p6RPJQtmjwtFZ88KaaJPBnxgTxdaoc8ylGQPKBHjjzws5c89jG1PNm/tzz3VJ08oVONPEuPkDxi/388U+aDPOdSljwjv5c8R7iHPHWBiDz47os8vrKKPGx/fjwuD2k80iR0PC2ZhzyriYE8FgSGPC4nizwtgpQ8boCSPD9ikTwwI408JUqWPNZyjzxBa4Q8/pSLPBgDhjx30IM8eACCPG5weDwrc4s8Tx2dPJn4rjyGorM8Cpq2PMIfpTxuOaY8ZcSyPE7z1jwHrNE87fTgPD+26zwe1O48+hkEPe9+CD3mPvg8L7vkPLCi/TxrMwM91Cz/PPBK5Tzmx908djzqPMSw1zw1YKc8ueWrPKR0ojy31aY8GNufPLsHrDyTLbc8dWbKPGno4jxozN88MrbtPJOc6TzkC9w8S0HBPMa0tzzXn748MuTPPL3KyjzZfMY8QAzEPODwxDwRjNI8hhbaPBiPxjzkUNA8YLnFPA/itzxDgMI89HmqPN+ouTwoq6g8ny2YPLrJnDycKIs8KgyjPPUBBT3XxyY9qViwPIIFhDwccdM8qgUlPaoTkj2/svg9dJQnPuNnGT7VuDA+GWgpPg+MEz6/aRM+jB5QPqh4RD4pwS4+Fto5PnS5Iz5CYQ0+8w8jPlz/Ij5G5hU+ONUPPlQ2Hj6nHiU+Jg85PpewLz7hYys+l1UlPtyUFz6E6h0+GV82PjmaLT7SFCA+N3YYPucVHD6WIQs+n74LPpspIj4abjA+e7McPkF+DD57/Bc+mX5QPodUTz6grDY+UQQWPmqVXj6Jz04+nz0jPrBKQT4UElE+AFALPgGdBj6TfCU+f5EoPq8fOT6vPTQ+ztwgPnUjJj4F5Dc+N+8kPoswND7cjGI+ZY4+PjD/GT5i8xU+oEIoPqCWZT6XVkc+0N8gPgIY/z1Gww4+lDE3PhZzSz4weTg+qG0gPuEYQz78wEw+2vA+PlEyOj6zujQ+D6IzPpT7MT4ZJio+oXAlPp7eIj6SYjA+9q4jPtm+Hj5dyRU+VBjkPRsbiT0ywL08B5aRPBw0lzzUGJ88LGanPMBKujz3Jsg8stDHPBVHvzyXjtc8zG/ZPN3r2jztQec8CJ/pPHmn8DzlNwI99RYGPfahBz0H+QQ96ZEMPfYAFD1z1ww9XUMKPR7UCT0CZBI9iBUaPZoAID3jqRs96ScZPT+dHD2p4C89Sx8iPTPgFD2LMxw9JQEvPdvmOT1fEjc9yP4uPSEALD1pcTk9sgJEPTQHQz3VDlE9Pg9JPYf/Nz0Q3js9J0RDPdS3Rz1e+0U9qDpJPW4XTD2/sD09Tbg6PWBXOj0QpTk9a282PeGZLj1Q3jU9DZEuPWXUJD1KOSY9hQwvPYjpLj1U9zI9g6YwPedyNj3jVzw9Oe1EPTU6TD21/DQ9Tsk5PR2ZPz0xYUg9DMJGPf0uRD32oEI9NalIPUbkWD3UD2E9+NRNPXIQTj3Afk09DRdLPbZgWz01wHc9gGCBPbd4cj39J2E9nt9zPaWDgD3BG3o9qqFvPWTCbz3vxGA9LkBdPVIahD0TSms9catQPfH5UD3ycGc9xAyCPbfMeD0s3oA9Ecl6Pe7fdD11K2U9aQ5ePV3eSz17XT89XiBPPTh7Vz1TNFQ9ut5ZPYKOaz1IpWg9YGhwPX15cT1B+mU9kuVrPVntaz1R+WM9vI1cPcJLZT1ix3E9aJR8PfyXdD35cn09MqV1PQUFfD10cH09DiCDPQ8wgj2ZYYE9IipxPdQDdT3NYIM9bKNxPbTpdT0GFnw9uwWKPbF7iD3elW09kOByPcjkfT1iY3w9ZNCDPRq1gT1HMJM9NaiLPVNIgT1NFIM9Um10PZoZbz2u9Wo9UG2BPfTXfz0Yfm89GVFvPY9LZz0f+WA9uudsPfejbz1773w9BM5nPX/zTj18iEg9koFXPXPqbz2sf5E9Ms+UPTDxlD3/F5g9jkmMPfKDiD3XWIU94t53PZ1nfj0qmo09hWOEPQRuaj19C249QYdnPYb7Zj0kbn49DUF7PaJiaD01ElY92rBiPUgogj3W+oA9DyhyPTbqbz0QpYU9HUiCPRoOgD2xs489zV+PPWHLez2XrGo9LbdcPcZ3gD0uoXQ9NU+APbPxfj0j9Go9mnaGPQwcmj0fV549M0iaPbDMnj33hJ891lOQPaUthz01M4Y9QoiFPXcnkz1PDpo95TyVPYKLkj2nRpk9qwiHPQjAjz0bv5M9fZKLPcxKiT0Sv5M9MNmcPWKCmj3mPJY9wUOWPVVLmz0Ow5Q9KHWHPcRvnz2ffLE9nj+oPZwomD2NcKk9dfCsPWHOpD1uZZM9hsaFPdNJgj1mFY89A86PPRguij1nW4c9+m6EPd0+hz1nWHc9RuiBPRtnjD0K9Jc99wCTPU3thz2k7YI93euBPYdhcT1GP2k9uYVxPYQpeD2B1YE9PRWDPe1igj3vl389Rg2JPfoBkz2CGpI9rDuLPUkMiT3n2449M96EPWJngj14YoM94BSKPbQvkz1vu6Q9QRylPdccsj0hJLY9oD24PdETqD293Zs9nfqZPWgjpz3ZBJ89CxySPfWPmD3YA6c9VvadPWL0mT11R5M98cKXPSRqpT1rm589D/6RPY34lj2nH5Q9MTWaPcGvnz1u3Kk9s+6lPVXDpz1Zjqk9y2ytPWt+vz1n0bA9E2ujPfbCqT2HK6Q9wqSdPer8lD16zqA9L5+qPWUfqT1aoq89czysPbdZmD2Dcow9ESCEPT4Ncz2V0nk9/XyBPZj3gz1Mnok94YSOPdXhlT2oQ4s9x9+HPZHWiT1qvZk9h5mcPQ6fjz3abpM9bvSPPf/vgz3ZX4w9LcmVPXQ6lj0rcJs9GHmZPX5Jgz3M7XA9BxB2PYv4hj1xnHU9rTx3PfRJhT1M3pA9wtWKPT6+gT1aw4A9qXGEPT1dgz2DqYg9KXOGPU76iT0Y7ZA9reeePVXNoD3m3Yg93veKPWskiz3ZsKQ9g7ehPZnkqz3OdLI9mquXPavqez1yH3g9i055PUsWgj21DIU9JhKEPdMJfT1F74k9Ou6RPX+Mnz2sq4w920WMPURJgT1ZdXI9YGN3Pdihgz0jhYU921uAPVc2hz1rbIw9YoqMPSpUlz3V2ZI9leGJPdvSiT1q4pE9lpySPV4bnj2opI89MTSGPbEShj3bco097wSOPaFMhj0gq4I9fFN2PQ+dZT3wEW09lMqEPeB4gj2+k4E9k36GPSMGjj3ECYQ9DRx1PQl8eT3iNo49TuCaPRmwoD2cOqY9xA2ePUGTkz1BtYs9O3SCPcUFhz1uj3Q99zV+PXXHiT1V1Y09gnmLPYHBlT16EpE9dwuGPeg+jD33XI49iZ+QPbKrhj3jFIQ9vUuJPX+mnD1fXpk9xhulPW4bmD10d4w9qFeQPc/7lj1g05g9teCSPZpAoD0OR649McCbPcfEoT0yTps9kNSZPVj+mT1GlI89fCaEPVomjz3pBog9yd9zPdphcD01zoM9PWCCPbn+cz2kCoI9oICJPWQEgj15umU9ggNYPbLyWj14Qko9lNYvPWf8Gz38+Ro9w6kUPWHPGD0iCyk9CxY3PSBcLj2ccS49EgkkPXK3Kj0R+xk9DMsUPRi1CD2TLeA8VD+4PN9YqTxYOZ48mQKvPGgbuzy9Cas8tmu8POZMxDwuDKQ8U3SRPLP9ijwbn6k8Tcq+PGiJjTzYpIg8WDGTPO9frDydJck89wbLPLCPtTxaYq48mVSXPEKLkTwC1JY83dCMPKNqmDxsmY488fOMPNpOiTw3UIk85W2DPHF6dTxQnGw80RB6PMY7ijwhs488U+GPPK/fhjybVps8dtSVPGDOkzydVos8DcGFPA0chzyVwIM8IyqQPJ+bjjyqgYs83BKPPHx4hjyn8pI8oJ2oPHa8rzwuT7k8in+6PEtDrTxJvs48JdwBPSQY+jx+s9U8g/LZPHfp7zwuxPw8GPcEPaH4BT0u2/U8Og7wPLX7/jyP+AI9UIj5PBYt9DyOivk8tyzrPG/0tjwwaak8k8W7PGohsjwLTrY8WRewPLwtqzyaibU8OUvBPA1b3Dz0W/A8x0jZPHyEvzxUfrg8MX/GPAXw1jwTPNU8wvbXPFNg2jwLBdQ8rK7EPCl9tzxRVsU8Ej3CPPwMujzx4L8834qxPEzBrzxl1Lc83WaePG4jnDztcpA8jN+DPL9BhDyH26k8UFG2PFMtkjweUoY8PoCAPPmVjDwpZOI8FQcvPXol1j0vXC0+CIE3PjKyPj5vzDI+3FIgPvSpHD79pho+urI4PkFOND4pRjU+Ewg8PirWIj6STx0+QWE1PuHTJz7hahU+KRQZPhEJPj5zvUU+4k5IPhqiPz7XzTw+ycQxPp9aGT4eEh8+WukcPq7bFD4e9Q8+Ztv2PQFsDz7tNSA+KdEnPvURID4820A+++gtPlpWFT5HghE+uxgoPpAwQD7poSc+UbEbPjODPD4LkjU+R4crPsLRPj53/j4+DioHPvh4Az5QqCc+E0EePvhtMD5OUDI+RCMPPrb0Hj5RgTk+VqlLPuY7Lz4TBUU+cMxGPlD5LD4f3Sk+TUNBPoomLj7nihg+RJMTPlLGEz6LUTU+gB41PtMMLD7dkTY+StUxPmEoUj7XMEk+lDArPijyND4mLTQ+R2crPrAvMj4FxyE+e+0kPsIyID6wvBw+LigIPnpNlj1zjk09SZDcPO9uhzwkj5I8D2GvPDz5uDwu4r88asvQPNflyzxaEdI8hH3RPItY2jxRyuI8rbTaPEeR3DxNIP08gZ/0PJGP5jzcu/w8fBEFPQkp/jwVaeo8KQ3/PJDTBj2gcwk9jI8DPRH/CD2xsQw934wTPbLbDT2WsRA9pCIRPWihGj0mQis9zX0tPThtKj0p0Sk9j9MmPcWZMj0quC897oUoPedVMj0TWzg9fDVHPfJbTj1/C0c9jtsvPTuOIj2b9zA94zw2PQSNPj3tjEM9TdE5PaHrMj1Idjs9jq5APRbRNj1C+yQ91/8ePa15Hz0S8yM9dYkqPfOWKj3HlTM9xik8Pa50PD0hBTE9OV5FPb7rSj2EhlI9LwJOPUp0RT3OZTY99to2PQrKPD3J1kc9CJ8+PaMAPz1mCUA9MnVIPZb5Yj22d109z4pNPUjeRT1cvjo9B+40Pf1qTj34nWM9rpBfPQCwVD0nP18948N1Pd5lgD2fu3Q9atBuPbvzZT0S/V89HtFjPdb5cD1/Ll09gSNMPZ/oXD3tEWk9kjJoPbUOYT0EeF89Yi1hPcs7ST0LUzg9BeklPaozJz0cYz09hUlwPYkXhT3ZF4g9ksZ5PX07ij15hoM99nR/Pfyydz33amk9rSyIPTl/gj2Hzog9ULxxPUD0ZD27wH090w19PQMYbD1Fx4A9DwmNPTkuhj1KeoU94giJPU9Ddj1x82E9gWR+Pdm/fj1W+3490z6IPT8wlz3Qu4w9Va2APehOcj1iTW89rtZyPa88gT2tFYk9iqKVPXEwjD3+oJM9FP2RPYBRhj3KwHw97AB1PbP5Zz0Ao2Q9MjRtPYSmfD3VsZQ9vmaBPUpEUD0p6WM9zGB2PdbygD3VT3U99tpmPTAAbD3vSXw9T7R7PXIxej2wGII98CR+PXi1bj35RmY9M0yKPY2Jkz3jyI09d7GCPfhRjT01sIo9BzN0PVkYTT0bFl095ix5PTaqcz0QzGA9H2tpPb2PYT0nCmA9UQeBPdu9mj2RSZY9YUZ4PfABaz1qM4A96XmIPUjVhT2KCYQ9/KOAPZhJaz1djXA9rtZ4PUjQiD3o0Iw9SXqHPWdEiT044ZM9rKiYPRCahj3rnoo9W3WQPXs1lj3ZyZI9jN2OPY+dlz39d6M9MiWaPfVynz0RdaI9TjumPROzmT166pA9qD+QPfifiT2IfIc9c3mRPf7KlD07iaE97kOmPbCQnz0pJ5Q9k2CKPeB+kj0nuow9XY+HPWwxlT0sAZg9IDifPYm3pT1ylaU99e+VPWOClD2okJE9mKGBPV5qaz1S8nY9xPWHPejOjD2iyIU9fXd/PQKVhz2nv5E9pNyWPdcGij2fOYQ9AFlsPTPxZz2q9m090WxyPTm3bT3+hYE99C6HPZMchj1yJIg9yKiDPYTqjz1qRIk9emmPPVQ1mT0ORpU9YG2GPeEufD1Q4Is9XyWTPTgIkj2mT5U9YVChPX+jqD07krA98tK1PVZusz2CarI9aYKsPbbQrT3Zdqk9uxSZPYhdkT1/co092PyGPcyCmz3f8aU9Qg6iPWqJkz1cN4899yqGPbTHjz2x/JY94cqdPYZ7kz2IRo8918OUPY0KmD3qpZk91TiaPUiHoT3gcaM9cLWzPQRztj1Ko6w9DX2hPTJUoz318LA9U1KlPR3hmD1DZJs9MESjPaGAmT0CrpY9pV6PPb6OhT1u74s9rpqNPUi8jD2GdYQ9n82PPfCPkD2I1YY94a2BPcYPhz2pWYs9EfeFPfD9ij1Di4Q9qE+MPZn7lD1Oe4w9QXuFPdgbij3TLJU9RlKwPWFPsj1U/JM9eUyFPT3VeD0MHnQ9mzdtPVv/az0dy2c9Wih4Pf48iD1pV5k94kOcPTsvpj3p7p09ZN+dPaV5jj2BKIo9H8eOPfS1gD3CQ3M9gqF/Pa3ajD1ruYM98K6GPQOnmj0CF5g9PaOUPe7MmT1I4Ig9rXhxPQCZaT0+4nI9nLR5PeNNgT0VD4g9RPSIPTrnoD2uC7A9ibymPRxylT0nhZQ9sGqQPcSrhT12t4Q9UmGJPQp8hj18YIE9+VJtPUxNhz2uFIY9i7SBPfTNjz15upI9eoyJPUpDhD1b1II9YOWPPZbgmj2iKJ89TAiePWn5mT1qMo49BI2CPVsLij2ve4g9rPR/PafIaD31Ilo90wB0PQNfgj21g4U9oUGHPaIbhj2R5ZE904KOPUS7lD2adqc940KgPdSelz2LG4s9U5dzPUxHej0m/2A9ovFnPTpZfD2Pdok9nqOGPRNseT1XbYI95VCIPR1fjD35IIs93/yUPXtZlD0Jc449IjeKPS9tlz3m6p09qlGoPUSEnD1dL5I9FA+LPagcfT3f93Q9z9F+PSptlD1IJJs9F8udPa5/nj2CF5I9KBKAPU13gz3I6pE9x36YPbLDkz2ipZI9nKiLPU1agD2oqYE9Nst1Pb2vhT2F/Jg9LLiHPX9ohD1pFoU9Dpp/PZzubz3WHGU9z5pQPV1zRj1rbyI9pZQtPSLMKT0b1Bc9gqUWPSk6Lj3syUU9lV83PbHFMD0nzR49agYtPZE+ID2cpvo8EX/6PADv3zxNE6c8RmyYPBBWmzznS6A8od6tPFy3rzwq9J48qqaWPMktmjwvkI08g/OBPKRkizz0Ia88qnqiPK2/kjw9CIY8L8qRPE3trDwpn9g8rPzQPCW1yTx53bU8JxitPB2BtzyZyJM8BvCKPG/4gDx5eoE8XeavPHQnpzwfKXQ8sCyCPExPgjwNtIA8A0iKPOGciDyIAIQ8eMGHPHn1iDwJwZ48LzSaPL9kkzwuk5I8QqCTPFdbiDzoqXM8RaOFPOsHjDxSx448+TuZPE5Rljx/gas8lja9PEUvuTytFrE8quumPHbIuDxlI9g8d1bhPFSbyzxIY8w8CrjkPJ618DxF3gM9dF4VPbeYHT2/5Ak9rQoIPRJeDT3nEAk9xzrzPC1n5TwPIcM8adaqPCJ+mjz5BaA8ZH2xPJZNuDzK+sU8AsnHPK9IwjyUwsE8gJrKPG6AzTwg0b08w2TDPMfKuTyhsLM8zL/DPD/kyDzvk9E8qxngPBgL2DxOutU8F5zaPL7Btjy6q7c8S7TGPJ0+tjxJYaM8fROmPImWrDzC8qU8RZ6bPNBnjDxSbYk8+wyHPNnYfjwBKpY8V8+TPHE0hTyzcWY8k4GHPDQx8Dwp5O08zzCWPOcyWT32/BI+KXY8Pj2DSj4MwDs+Bmo4PvoxOD6eLCw+7d4sPltrKj4nNjI+yioePk8kIz5mBSM+UEcwPilRLT5UVTI+twk7Pn4kTj6Bvjs+JWkoPme7KD7Z5yw+0PkUPmYeGD6o6BE+X80DPmIPFT4sKRw+NpwOPjQxHz7LyjI+x3M2PqMiOD6W/yk+2M0RPgO3CT5H/B0+FpgpPjaBPT7aF1g+5aQ7PnzRCz5onfU9oq0ZPiVKKj4tfB0+5bgHPr4eHD6KLD4+XComPiMCFj5D9RU+uGcRPlTUHT4mhis+w/IhPgSzHj5BlC0+jX84PvcyNz7RBzo+ZXU6PlW0Jz4RbDc+gdYzPl7ZFT4h2ic+PxVDPpZbNj5v3zE+4BIhPiRgHj4leTE+0PgZPml4DD75XBE+yQQiPgpkxz2rOIw9vDmIPYQwXD3ZDCM9Gz7VPMMzkTy3OI08LH6aPGjFsjxH68g8EJHMPNU72zz3XOM8JXXnPPum4DzaC+g8P9riPM246TyKwP485RnxPKyy4zyPYvQ8XR78PLC5AD0z+Ow8ovvrPKrY7DxoFfg8I6r8PD5z/zwsDwM9eM0HPZvhIj3A2hw9B6UGPfKdDT3tcQ49xxERPYl2IT2LJiU9lmglPbgjKz1+ESU9WxIxPQAuKj0MAyg9xwU0Pe0jMj0q4y89PCs2PSAVMz38OiM9T/UZPR+RKz1AbDU9vBofPWMUIj1MqiM9qtUbPbIPGD3FTyw90pE6PZuoMD33nzU9figzPagPJD06ujE9gmFJPaXDTD37VTc9gsdAPbEXPz0ebkE9l4BGPQR5Rj2B3Us9FZ1XPcaBbT0wjlY9szg9PRU7Oz1eOi49GcgtPYhRPT1h/EE9KVlFPSHFTj0PgEs9fy4zPS8TNj2AGlY9BKNgPacyQz3Arko9N7lXPea3Wj12CWc9hb9tPdFtZj1tKFw9o2lxPWlBaz0x2E49UdM/PQbxSj1OEkY9/cYwPd5YMz3vokc9zEdNPQfoRz3yVkA9gHQ8PbROMj3sfy0968ouPQ9eRz3KRVE9B3hiPerHbj130XU9nKdsPVVgZT0yC2Y9FcZdPR3uVD16QU89R6BmPbBhdD0UHIM9Fz99PWL4iT3y9og9NA50PQsfdD0/aoI9dv2HPajygT30tWs9n2tNPaxJUz3LnHM9lMeEPR1giT0htIQ9bsJ+Pct4dT1WeXI9nSF3PR41cz05C2w9lxKHPUHkjz2uo4o9bNaNPXF+jj2wHZM9N7KDPSClgT1Vqn49M2ODPckliz1J4Hg9qiR+PfJmhj2cdI09pBhrPcXZZj2FzXY91DB2PW5qZz2nHWM99t5lPZVTXT3/Cl0913JvPSk5bz1i7nE9FgOJPQdcfT2wmYg9C6+ePaLxlj1Pw4A9y6yEPW5OhD2ZRG89FcRiPcU/XT0Up2496I2GPcRPhD24GIM9T4aFPd0hiT1xt4E9EX95PZPbhD0Kc3c9isR4PXv/eD2QEYM9vTGHPRDalD3XvY89abmZPTaGlz2mwYg9n4Z7PezEgD0LYYM9WQ1zPQ/+cj1k+oM9TkWMPWhHij1lyYs9in6SPXbWlD3ouJE9ZoeePftomz2F2Y09kcyTPexTrD1FubA92eagPTaAnz1g4Zc9ccCFPcFxhz0kQZg9XkKsPfK7rT2Rjbs9fp6qPbcIlz2KxY09JsWHPYa5jT1y4pA9/TmcPUM7oD13N6E9ZY+aPQ1Lnz3yzaI9NP6bPc5FlD1mB4o9Y1iMPTGTnD3KI6M9ckefPeSCmj00zp89n7WePa2EkT0BkpY9NLaUPaP+fT322W49YK9sPUpneT1uVIk9IuWKPQL4gT274oM9vFWMPeOYjT3qWJI9ngyUPYtZij22u4M9rMh8PQcYhj25JIw9azyNPbbklj3fmpY9BjOVPWK3mD3Snaw9rByvPQFErz390rc9BxSoPW0AkD3oqaI9LKiXPQUTlD1QTJk9Lj2WPX93kD070Yo98VqNPbvsoj3KJq89fX2XPSKdmT2a/Jw9UgedPUWqpj0jG6U9X4mhPWOzlT0Rz5c9SBuSPXD+mD1PDLg95GW1Pci4sD0iKK09jhmyPfFimz0jZpM9C2OaPclHjD2+EoE9pSyPPc65jD3rtpE9rpaOPaNNlz22cpM9/oucPd3yrj1fZag95niePZapjj3iaJE9bI6NPXfKiT2GRJA9fxKPPR5Dlj3SyY092+uCPbKmiz3tBog9q8+APfCLgz3b94k9d4eNPTuFnz3Qwp89GbqSPdbHbz1KpGc9P5lfPaHBbD3wwXA9pdR2PRhcez1muoI9MPiPPQVemD1aMKg9ZXGrPW4MqT2HdqU9ma2mPUu9jT2bU3s9+Kt3Pc3Agj1CMo09+HmOPUcCkD031pY9fFunPSyZtT1M26o9hjObPUzljj2vuHg9Wtx0PVG2cD0pTHU9wnWAPf8RmD0VlZc9vOWUPZeCoz1Ffqo9E0GjPT5vmz3Chpk91yiUPTJpoD19wJM9upCIPQAffz3dImE9JRtPPYFSaD015oM9VXSKPUSgoT2/GZo9+y+WPW6pmz203ZI9WwGiPdsGmj28IIo9khmFPTdzgD1RIYg9lPaEPfj2hz27gYk9waaEPXYZgj0tpYA9BL2BPYWuhj3+iYc9nYGDPUTxiD0al4k96hSNPQ2dmz2u1os92FaFPRlMhT0eqXk9dslGPVFYSj0xdF89cgZ5PcNbbj1R3mc9t7eEPdCdhD1++4A9Rb18PW/khD3ZfJc9jfKbPaVFlj0s8Jg9atKgPbs5mD2HnZc9iuuHPZHxgz3lqHY9t2tmPZ+UZT2SVYc9pNCTPbZFnj2H5409MSyFPR+ukj1k2Zo9xNKUPZs+iT3FI5c9Yz+XPXoViT2lJoc9vV+QPbOXlj3xRIk9Qc1zPWBtdz1K8XI9mSpWPT2cWz16q1Q94yBGPenFQz0B3TU9CMkpPV3tJD23cCQ9UsQePdHXJz1Z1TE9QwwsPTf9LD0BcS49auZEPbDMPD0whBw9aFwNPZDCEz0ruRk9G7ICPfOYzjyiV7w8A0WrPKr5lzx7Xpw8PWSWPFsclzzTM5s8NzmWPOCYijwxGos8JFOJPKMdkjzLH4c8QPKFPFcelTwyh5s8fgWiPCwUwjyEc7Q8wL+5PC0frDxUoJ88ivuhPD/XlTw2PH48g8ONPE1IkDzo+4g8nLaIPJ1pijwrWpM8QD2SPOB1kTyKSo48gomXPJCIlzz4+4M8kwGMPG36nTyi2Zw8R0GoPDlTrzxpt688K9OdPHxMkzxt7Yg8a9GEPCrHjzxRPJc8YvKPPPSCnzwIvrY8Qb2+PKKivDy41sM8Z/HCPEFu3Ty7rdI8en6yPAE/rTwl+bw8YYDSPP+fAT3S0gk9NLYTPcHqDz1DBgU9fdbmPJ3y6jw8h8k8EZaoPOourjyeeac8uBGtPPAXpDybPKU86BazPJBlwTz6ON48QgvsPHVk2zzD48g8OTO1PFfjsTz0LsU8j0bFPOEiyzzTftg8j2/TPCKYyTxmz9I84vfcPA2u1zwgpNA8oNa4PLtMuDx008Q8ynG6PPsQqTzBQKE8C7C0PN1ApjyKn5s8Io2KPKtSkjz0WaI8qx+RPET+Tjw3B0k8n9llPPPTazzYoWk8qMjWPCZp/Dy1jqo8bxGIPQpYCj6rWC8+kpcxPqSBMz56Ix4+buwdPuEWIT7vYjI+qE0mPmk4HD7k2Rs+kQknPo4NJD4EhyU+6tYsPtATHz5BVU8+Mng8PuLaNz7YUws+wzcNPieIFD42+E0+cPBGPskvJD6U1BQ+VJwDPsb/Dj4PoyQ+gz4ZPuoHej7CVi8+sfkgPh0PHj6ipRA+mGMmPownGT4rpxo+2cAePvOqJD4Cgks+KOFaPmqhDT48qwE+4wI9Pva3Mz4NnPk9gUsZPm2lID6/jhc+OiAvPsS3ID5imDo+OGY8PvMRCT4+hBU+2dApPhpJLT4aQzk+SOopPhRmKj73YFA+KyJ1Pk5MVz4MNjU+TOY4PiurOj6Zqzg+/9cvPoyeHD6syiQ+yvc5Pgr7QD466zQ+wKUgPmRcDD7R4gU+eQyEPezXmTz/gns8ApCHPDfbiTw4I5k8wXadPHuypDw+R7Y8gpzMPJGA5TzcxNE8B/TePMEV4Tw2Odw8bR3jPIU/+TyFzQA9VBb5PLKWAD25vwM9lvD+PEZqCT1m0wI9sjvwPPeK6zy8+Os87C37PBaCBj1S2AQ9ZHcBPekLBj0iRAw9KvoXPScvIT3/Pxc9vBYKPbHRET3knRk9DyYYPUM4Kz2lhCg92LkxPfzYMT3EMiU9HvAhPV8sIz3lRCs98kguPdXNIT2Apg09RZoLPYwDHD2Bax49iDwkPbbsNT3dxyY9Wx8VPSlMMD2qpjo9W5wzPQkSMT38vkc9IpNCPUmtOz097zo92lw3Pe2HPz3IYUY9BrRgPVjDRj1WETE9iBY7PerURD0Q5j89S0A1PQAURT155GA9whRVPbiyTj0hVUc98w5CPQULQD2IGjs9bMw7PY1ENT1w0S89GjY/PertRD2ZokQ99G07PU00Uj2l/WE9mEtyPcH/YD1iDVo9RgFXPRcwWD1a+1Q9iWJuPUlAXz1OqlQ9KKhVPTbQQz3DgTU98TgmPVH6Hz1EwCM9fJ4yPbaDNT3pHD096BNaPbxFZT3u51I9Iz9UPdHdTT1VRDk9kto+PdnJTD2WoFY992lPPV81Wj2Z51Q904NHPYGHUj1DjmE91DRxPcwaaz12gGc9dwdWPaxwcT3224U9p4yJPZwegD1jN2s93b5lPS+vdj00f1w9a7lYPTuFVj3I/lA9Y2xlPVrFez1U4oc96EqHPVOrfj353Xw9zw9vPURXhD1kN4o9fkmDPViNfz1WRYM9HT6DPSzKcz1lcH49diSKPZASgT13C4M9AiV4PcsIgD26fI89ScqMPdEjij160489KD6FPdChbj3h4X49Psd5PbrVbj2Pl4Y9UEyMPZpjWz1zpFQ9A5ldPRphaT0waHk9pjZtPa04Yj0Mwm498lh9PSYbfj0E8Ic9UA2aPUUDhj1ZtHI99nZpPTKHVj0IE1w9z3qAPaRIdT10sIE9K8GPPWi3hT0UQ4w9BXSFPdySij31oII9rzxvPfR+gj3sxn494AJxPYOacj3oUpE9BFmjPbgmnT2Rwo49MgSOPaIMjD18dHM9DOdrPZOlYz1fxF49x3t8PdX4hj2RWpE9nYebPdNKkD09lok9oi+fPWMTmj2pJp09BgqZPRdnnT1VdZ49FTWcPVAonD0rCpo9ZA6RPUk6ij1zE5A9kVqNPd3fiz2rMpU9NKumPWCLqz3s5KI9GcuVPbhOjD2mS5o91qOkPZ7woT2tsp49Gk+ZPQdFlD3QVaE9zI2ZPcFtlD1nhaM9xXeiPd16mj2QgJg9Co2mPYvKpz1pHJ092H+aPSMAnz2Nzpw92V+XPZxAlD0Gq6M9yh6UPVv/lz11l5c92nSTPZ72mz11t6Y9jMKjPUYdkT2C4Ig9K8mEPcjWlD1B5pA9EAGGPdooiz2SAaQ9urSlPQltnz0qrZc9KviPPZovlD1dIZU9bXKZPV49pT1tAKk92wimPcGHpT0jPJ89bSmKPVEbgz3q+YY92tOQPeMQlj0eeKQ9oceoPaAxpD2OFqo9S1miPe1NuT0LOrs9rnenPZF4pj3GlK09Pl2zPZLTqj1HH6w9IfKmPUZ9lD379Jo90EKaPXVemT0IaJw9a/qwPR1jqz3VW6k9EjW/PTXaoT3gnJc9UymQPWQ5hT1MB30998OFPf6Cjz2wsZg9J7mlPaDHnz19da89rNPAPRlEvT2Ch7I9BOKVPecTjj2z9Jg9MAeYPZofkj21WY49OFOEPVGngT3oho49ENSYPQotpT35iJk9IpGCPdSqbz0+sH89iRiGPYjAlz1Ncpc9kgyRPWVljj2btnc9lVppPUU7bD1MBoU9GcWVPSKoiD1WzoU97HCMPU+6lD2k8Jk9D1OKPTLdjj1jk4k9ExCMPUbthT0+pYU9ob+EPV9Khj32tJE9HXyQPS5ijD1jVpI9MUeQPc9TkD2WHYk9QXNmPeMccj3KG3k9Cw6KPevTjT3B+o49xsebPYt2pT14raI9hBKRPcpQlT1y1oo9iraTPVY4nD0Z25I9PAaVPWs8pj2B5Zw9lYCHPeJ6fD3lznU9Q+V1PVnUhD1lV4o9MAuRParXiD02I389XMVyPXfniD1XMKc9FjyvPeIXoT1v3Yo9OF+NPRe4fT09woY9vv+cPSnzmz0Vyp49Z9eWPVH1iz1dHpU9o06ZPXfBlz0Z35I9QnmLPfcrjT3C3os9vv2JPZA3kj18X509XI6PPSM5ij08k4A9Cxp1Pf71aT1YoWw9Gux7PYeNej2FG3U9pZuEPZZAgD2mLnE9Z7F8PfQynD2du6I9Q0aaPXbOmz02GJ09fLyWPZlYkj0W3Io9iZWIPcZHkT0NTH49+mpvPRYNgD3rrYo9NVygPVQTmz0upp491pCTPXcOlz0LOKg9pw+QPQFFjj3bQ5A9/F+dPQIolD3J/JA97MSfPZWvmT3RGJA9r4l5PUbaVj3zzEg91Jk3PRLrOz07yjk9JuMxPfH7Mz03UC490MErPRELKz0Ezj09/csoPd/bKz1yu0U93Yw/PdpKJj1NaCs9MlsdPTCeDD0abBE9Bm4BPRppBD22Pwg9hOfkPIMEuzxpH7Q8Aaa9PCVQojxXXJU84BeXPKIopzwXoqQ8w+OQPFyvlzw3j6Q8mP2jPGLKizzXUow81x6GPExplTyYJKU8FMqYPJelnzxU4sU8qhu0PEB4njye85s8m0mhPEnskTzEFYc8bMKWPCLojzyB2Y08KD6lPCkhozyS26Q84VGzPM4SuzzAprI8VvypPB2BrDxVc6w8GbKbPPZqnjxuG688Xb6yPIi1sTwBTqg8OhqPPOq8jTwm4pU8CpKgPH0GrDw6K5s8vBySPOYEnTyoGLE8xFq3PAmKujwj6bs8kP7LPFOJuDw+sqw8xvGjPBHotTx6I7k8nI/fPJPv9zxk1hw9KswWPeu3CD2poPg8baq+PIUxrjxfC6o8f+CjPBBWrjwRS6g8tsymPBjzrDwBTaI8usDEPI6B1TxRDNA8dQnRPGIzxTwEWL48lbvBPNIqwTxxlMc8nX3RPI+S3TwEbus84p/dPJ/Kyjw7gcw8SmzNPC7HwzxC8bs8J/q4PLCkpjx8HZ48J5qtPJ1awjyyQgA9VYonPadsAj2vDRA9GbhePVW4tz1En9M9YdGVPcpqqjy66Sc86fdDPGEVdTx/FqQ8yXzsPEx++zznopU9hcUWPozjND6WXkI+Do9PPvvzQT6n6xY+KA8IPt26FD40Ojg+XzgzPj67LD6URT0+bT8cPgIDEz4j7Bs+yo0WPuxhJj6RYjo+PJZPPqiLOD74Igw+/KkWPgQbMT6E7UE+6LU2PriLJj4HyiM+4rQePvXyDj660Bs+NNIvPp/vPT5unkw+CZQaPrrLFD5Wsyg+Lx9XPnrrZj6RrSY+qcAwPu41LD532Vk+3dc8PlVK9D1iiR4+/mBePn1oOj5xEQ4+QrQTPjooKj5F8jU+bR4yPtqxIj7quzQ+Zl5CPl3+Gz7WzxA+3pESPtfKHT4MGRw+bLshPm76Hz7x3ic+jgtRPkzhPD61pj4+xJY8Pr0LJD67RzY+iehEPjh9Oz6NnFs+/tJmPqlJND6BVdQ9OPoYPR/avzyicLo8EDWLPD1OhTzHB4o8EvSRPA/BnzwwzKY8UVmuPE4LujxW8sY8NnfUPMrPyzzXvd08cyz6PBdd8TzHh+k88S7uPMIf+jwoy/A89K3vPDCP9TwAPAY9WN0NPd+WAz21TPM8DdX4PAFm+DzU6f085A8APf+vCD0t+gg9hxgKPcN/Bz2jdQ490/8ZPfCdFj29CQY9POcNPXTDET1Zuhk9xG4dPZ0TGT0TYBA9NyoWPVBUEz0RMw49BToOPTj1Ej2KBxg97+kVPcOCHD2+zhw9HzQYPaG7Jz3Jtic9sKcrPR6SLz0HLig9S6wsPayqJz16aig9vnIuPeIcLj0dTiw9S9w2PWNIQT2dMkQ9zS41PW4cNz12m0A9qQJHPU9+QT0olTQ972AvPZcNOD3GVz89PWc+PcmgOj1WJCg9n8QpPbynQD26d0Y9TnwyPXUxMD30ejA9uAlDPZCEUz11Akg9HLosPYTiKD2FNyg93Es1PWuUND3snTg9z65CPRPJUz1rlUw9A7tTPeBNaD2ayEs9SOtLPd99RD2FvEE9pLhGPQ8oRT1kmDE95i0pPeekLD3LTCE9bDQUPeIYHz3nvUA97otZPXNHVT2KKkI9n8NOPVA7Rz1qBDU9aYE1PTM7Rz2ilVI92M9BPWf0Wz1qLWw9GB9gPRPQYj2jIEo9aeNGPSGfLj1dKDo9Ahp3PcyshD2ymHU9vp5xPZC2WD2JP1899Y5pPcEXgD3mWYM9PcRrPc0yej1X63E98Ud0PfUDbz2zbXs9DYaMPdGvgD0SaXQ9439yPTUzhD0maok9lamGPeM5iD1oFoU9lxqFPWTDdj0UqIQ9urOCPZ7Oez1kIX09A3CMPby8nD0INaE9Av6bPWp4oj3apZc9Udp9PaHMYj0GXoI9ahWFPYlJij1zb4s95uJzPVxOUz3GOFU9w85iPZNIbj2+4HM9EtVoPee5Zz1kBmo9YyRlPV8EaD0kDnQ9hMxxPTcQWj20kU09lCZWPTktdz3n4os9REiRPTobjz2fPJc9feufPWWzoz0BS6o9SvaePSi1lj3uqIo9UtqOPQmJhD3yOYY9OICHPTLIlT1Aq5U9u4WNPclHhT0jBYA9A2d6PVBaYz3T0VQ9kPlZPRzbZD0NOXo9xuKGPcz7gD0TO4I9sbiMPXKbjj3E7Zk94xSePYtjlT37cpE9h1mNPUD3jj1PwpA9YEaNPVNjkD07cJI9dtqQPemQlD1I1aQ99XCkPSK9mD0kr4492LicPW58pz0KyZg9ziWVPUtAnj0K/aM9NjK3PdXPsz2cF6w9l7CePXzEiD3+/449IP2VPWwAkj18VaQ9fSy5Pe2JqD2PF6Y9t0adPYTkkD04D5U9StSdPQJ2mj1hPpM940GXPQ/ilz0KrpA9sJ6UPWGTpD1LXKg9VcWpPTbRrT0Bt549vp6RPdMqjT0AtIQ9LyGHPVb3eD2QUow9yXmbPd8uoT33oak9RsenPf0RrD2gLZc9E+aTPY+LmT1uOY89i82IPQU7kj0xWJw9EVOLPVzhhj3WXn49jU9vPe7miD3/BpE93QiWPVV5iz0PM549hay6PV1CxT2sWrs93vGpPZ+koT3Cw549SBSdPRJqqz2dA7U9ggWmPeZmnz1Q6LA98Ju0Pd4HnD0nUJM98peKPX8+kj3hBaU9ZcaoPerspT2H8rE9KGG8PcGdpD1tCJU9z7OOPVzdjT0fRI896f6EPSJ7hj0Hgog9jiGlPRKPrD0vV6Q9xAqVPdJIkD36P5I9HX6UPQeImD2R2qI9q+uvPUeyoj1FzpY99gCPPSEeij2pqpw95BeaPXO0jj3z5Xo9UCtsPSbmdj2AQ3s90WuDPfPCjD1vIpk9vd+OPYILjD0+54Y98PtpPe/rhD3/3ZY9cYyTPXYBjT1nTIU96niLPeA8gj3u9Y49OTOKPQkgjD0lT589VqKVPVJTnT0wAKM9sfWUPRKdjT29Jow9aMaJPeSamT1+DZ892wyTPULlgj3UrWA9pvRgPbo0hD0jlYk9fSuNPRjXmT0Yqpg9dC+PPchFhT3AHHs9eD5zPXXkeT2XtZA9OvqXPbqLiz1k54c9Q0CNPdYgjj0OiHo9uz1pPY2WaT2pbnQ9YMqGPfGqiz2fn4M97gWDPZ9FiT2ghIs9RNqEPQyZiD2pUqY9eBa+PTDdpT3GHY89rPuNPd+ZkT2tco49FD2ZPcuXmT1ko5s9gE2NPUjzhT2sG5E94lePPYQqiD1Pg5s9fwyZPThqkT0Ux4s9oFCGPWk3iT1Cs489fF2VPaSsij3yHIA91b51Peo0YT1tNnI9Ylp1PdLLgj1FNIY9WHyJPRHsiD00eYE9sseIPS+YjT2UDp49V7eiPerfkz2k6Ik9nAiFPXTpjD08XIM9w093PWucgT09DYc9ezSEPfAvlj2Hn589DPenPW2anT1TqZI9sgOSPa7qlT0HCpw9GP6OPb6giz3b3ZU9cseWPebTlT21opw9nfiXPRszgD3p4GE9za5IPVDKQD370UY9eXQ1PUdYKj0jgTc9wjQ7PQ5UTD05TU89bLU2PVoBJz0TSy09LWAuPcyfLD3BfSw90Q0XPQLoGT3xLhY9tyQaPWsoKT0tShY9cH0ZPXGyGj0sY9s8oKS0PJhrvjzwuL88UbusPF3RpjzVdaM8AgymPL+7xTxLDMA8RT2kPIfblTzYQ6U8w3OvPHC5pDzO9qE8dnynPF3WsDw0u6k8LwCZPKnkrDyaAMc8oKuvPMEanjzIjbE8kZWvPLH+rTyhC588ayOgPBvsnzxZpJo83N2lPMAUqjzKaqo85FexPAmd0jyTac88BQS6PE8GrDy5AbU83+6pPJeLoTym16A8TXSiPBZDnDzx+Z08fhuePAbZqTyQVas8np65POQPpzyY55U8/H6UPG6NpTzuUqM8zsGsPP7mwDzQnss8/wvLPL72xTxQmMQ8HBq2PItUzDxpGcM85jzFPNYx5jy3CBA925QCPYUI0zwyn8E8IWOhPLd+mjwls6M8lqawPERypDx4DaY8AbqsPNQirDyhLcY8AZ/VPEHh1TyDI9A8NJ3DPKRZvzxWD788Za6+PLZ11zymleY8WQfrPAfP4zzRUNU89zfIPKCbzDwBob48EDjDPPLZzTwhD708wLi6PPfcqTxxTJ88Hv+WPApv0jzEHVQ9PajJPXG+Aj6Ply0+abomPpF9NT6GgyU+yJ/pPREJGT1f6Xs8vOe9PHjoKT3J53092pKbPckl6j2/xw0+DMkhPrA+Sj4bvys+6iIhPhKqJj4lRCk+3fYyPhyrMz7LPT0+mVREPsCQND6KzB4+ZwsaPkPyKD5ucCc+GioXPiCRFj582yg+ardkPqlNMD6QPA8++foXPhrbKz7PmTE+Ko8sPg3QFj4JLic+Sj8rPi0L/D0gYx4+3IlPPq2rQT6lyTo++KIcPty4Cj5DNA0+f9kOPjO5ED4dkyc+etQ/PjLmOz5lizs+WPcqPlTvFz4jzRc+ltIhPv/FKj7rHR0+RqcKPixFOz5G7j4+sck2PmDVQD7MiDs+wN8pPjqbET70/DI+Rmk7PnStKD5/KCg+pR82Pqi/MD6hAzg+jYRVPllcSz7PSjo+3qU7PhWfIz4lDiQ+jFwgPmCBEj7oieo9Fr21PX3zRz3LQ4U8wgiBPFEajjw9Qos8ho6GPPsnlDwgzqY82yK8PJHQxTwHVcs8/mPXPN1Q2DwjIuQ8paXuPMOS6jyiCO48dwT9PH/+/jxB3vw8gXb6PPEIAz2dE/k8PCUBPXlmAz13hgc9M14APS3s6TyI+vA8SLEEPX4l/TwDwwA97x/tPLNv9Dw53QA9jBwDPZDIAD0/5Pw8ankEPUFqBz3OJwM9kEAFPetZBD0H2wQ9Wm4IPam0ET07rQ49ieIOPXdxDz2Z0Ac9gT4KPewsFj18miI99DAtPcv3LT2kzTQ9IB4vPaP/KT0FNio9Ab8gPb9kIT2dzhk99TwePXr6Mz2r3TE92agyPc+bKz0vmCQ9aUMlPaPBIz0r9R49SgcXPfnJLj3qS1I9OYJOPQD4Pj1DOjU9fhw6PRmuNj1J4C89LbExPRI2Jj13RSc9QRkrPa5xLz2uETY9cSgzPQ2cGz2SiCI9oj5JPfsoaD0W8Wg9lKo9PSp+Mz3HnDQ9uo4yPaKPPT0ehjs9Amg+Pb0+TD0y9ko9OxlEPczoSz1sD0A9pPVDPeFzMz08MjQ9XVM8PZHjOD1pDTk97sU0Pdj/Lj3C5yw9a1MjPSdJLj3QWjc9qwYyPV+dND2q6DM9l/0qPUABHT24fhc9LRIyPTG/Rj2iilU9uUZZPQaHVT2rJ2M9cXFcPTupTD059jQ9VZ05PQpoOj2djEw9io6JPSDiej3gTlo9JXFmPfzbaD1oCX09pk5xPUFvej2WzHY991l9PWzBjD2t7nk9qdtdPbcGZT3E1Y89AS2MPaEleT2qFXc93Ed/PRDMhj2fR389SpJtPfUagD3RVpE94/OIPbXRkT1T7ZE9ZGeUPVMbjT3fboY9OHORPRxvlD1yR5I98nWKPc+4hj1bVng9Z9ljPRR6jz2jx6Q9oGKWPfLbhD2bqHk9kphgPVduZD3ymWg91qtzPdcVcz2do289ZC13PdNsaD2DQF098jxwPQNkaD3zGlU9ul5VPbE1Wj2dMlk99BZ7PW9rlD0weZo9F0qPPY6bmT2Q1pw9VbqdPb4ipT3kgZk96iuUPfQnlT3zqY09vduKPbLzkT3B+YI96eCFPSF2iD1kXoI9sbeEPQF1jD1gDoU929J3PYxPgD3Sz4c9gGuCPZ81gj1ixIY9RM+FPby9gz1wpIw92xmXPaOBnT2n15w9ZhKfPcoImj2enpY9dwOFPbaBgj3Rhok9P1eNPaHgkT1KzY498syMPZvGjz0Kc5E9F16YPf8ulz0kBJY9QYCfPT7MoD1gqI49CX2cPckRrT37n6Y9SlmbPf00mz2iFJE97cCMPcFlkz0ETaE96xCuPZUnlz1fjJ49kqOzPVIwrT39bZQ9ZKKPPUcWez35fYQ9id+YPQIeoT2QXqI9F/+WPX9Lkz0HKJE9lQOfPVqKqj3id6890PG8PViRyD0mSaI90MyfPXJSmT370449L7eQPag3lj0EdaQ9YbCjParcnT28TpM97LiBPY5ghD1QLog9a9eJPfSqjD26OJI9EA2hPcYOpz2NCaU9xWaUPUnBiD0yRYY9lzyPPdbWnT1b86U9KXStPQ+2sT1Znbs9u3K7PVXsrD0vC6M9wI6sPWnIsT3qR7U9SfexPT37pj15y6w9+hCqPYyhrz0bva89UrWqPYIrrT2AP6Y9y9ehPRaaoT3NfKs9tCyuPYseqj1iLKM9SX+mPTKwlj0JRZY9tDiWPZxmoj1VAq09hR+gPUV9nT37Z5Y9E5mQPTxjkD2yOZs9pqCYPY4Lmz11kpg9CrWZPfmmmz2PU5c9pxSWPSyPmT1j5Js9+G+XPWjjnz1Ti5Q9PPyQPQiMgj1kRYA98umGPR1wmD115pQ9z8yJPVGViD03qZs9ha2aPZCcmD05IIo9ctyTPU3pnD01f6k9tZyfPa4plj2NNJM9bUiiPZoBpD28SJU9gCePPZiwnT2xcKs9yRyuPfMFrz1e2ps9r/2aPcNHoT29naA91JCaPRiFiz05TIY9+miDPbO9gj2J5HU9WEKEPU8kij0OxY09fmOJPX85hT2ppW09vQtiPTTSbD3mF3k9Oo2DPddjlz1cdaM9RguWPborkj0tyJM9EdGLPfvVcz0qXl49CDp1PTnIgT0V6og9OHuPPVyVkj1LApI9NnWUPZGqmT0hrJk9pS+bPYZIlD2wNLE9SW2sPQzVkz0QoZc9Z8iRPY6Giz0kn5A9s1ShPZNtnT1WX5E97Q2NPZaBkz2g9JM9PdOQPVf8lD1E7JY9u36kPfH4lT0Pyoc9H82OPXAgkz1Gb4U9gfVxPQT7cT1yqG09awllPVP5Yj2BWI89A1CNPQkYgz0/Qog9XmaUPcTinD1rUKg9Go2ZPS7Hhz0ZzIg9eSCKPScJiT2j9IY9+0J9PZqVhD3mxYY9tJx9PYKteT3jGZw9iRWfPVNJiz2oxJI9euWWPWg/hj0TC4I9SsN9Payjfz3YuIQ9rcaYPWJ2pz2gSLM9TXygPQ/7kj2mwKc9dkKXPRJHdj2+BXM9YitVPUh8Qj13z0U9/yJDPV4wSD2t8z891T0+PTceRj2QzTc90FomPf3sIj3PEyQ9GFkoPUr1Gj2/RBA98tsSPR+6GT2AFDI9UgQ6Pa04Gj2qVgw9A/AKPdso8Ty06sE8q8+0PHgqszzl+bQ8jQ2ePNlspzw/pKk8wo6jPGKcsDxsXrc8ZQekPDHZnzyBKKQ82P2pPNJsrDzV6cI8rU/BPAZjwjw6V6s8weaSPEgSmzwh4KQ8S92sPGFVpjzgaLY89iCsPJ8wnTwNcKw8iza8POvWuzwf58A8U2S0PEr9oTxlD688lFDCPM5UzTzyPdQ8l9zAPBNNyTyqWNQ8fHatPIx9pDxknKs8bgWqPCHLojziI6o8pgutPF0jwzwv99w8h4K+PNkvpTzJFqk8fznJPKy90TyKusI8/szBPOLFxjyulNA8cZ3APLd5wTxDbdc8p/nnPGCF4zyhot085ibsPBoH+Tzp5fE8hj7BPFUVqjz3KpM8YqOePNfKnTx3KaI8RVupPKLMpzz1xb88Gea2PD0ZzDwHLOU8ok3ZPFtZ0zxUg788/0fNPGDU0TysKMQ80fDRPHTv8jyC2OQ8z3HiPHbwxzzDrss8kOW5PIzDsDyvkrM8DsqyPJnBsDwCQ588NiqgPJZjtTzpp7887CDuPJYZNj0cuSw+LbOMPvtmXz7pkjw+XHYhPmhsIz7Rex8+gccNPnZd2D0Ejsw9PlXlPSLn9j3ScsE9aLy0PZ6Lrj2vmdM9wlsmPkvwOj5GtR8+8rwtPgqLLj5Mty8+oIg5PpmxRT6CClg+GM08PhuWKz7DRjU+8yggPrp8IT63NDM+9O8kPrmdIz7wDEw+PDpsPirrOz7QvSE+SXsWPvKRQj6gvTI+Fl8lPu6LNT6Wjzo+C2MdPoAtFD5PPiE+cpc7PtV8OD54mEA+aMZ3PiEDYD5Y7fU9BAEIPlaMFz7BbC8+OUYqPgzGVT7VB1A+We4qPpO2Dj6hnvw9vsEMPqW7HD6x2Ro+YpwcPtISLz6UQEI+JPJBPslASj5MeFA+iSQ1PnuiNT7Y2To+3NwfPm7OID4gMyg+95UoPiWJXz4cPmU+5RgtPsXhFj78KBA+KcX5PWYK7D3geYw9/ugkPT+HwTzyeo48vMOMPL9flDz4eZI8wB+dPGrvnzzmm548r7OwPP63wTwvv8U8B/jSPLhe3DxxSPw8gPTsPM0n6zzf0fA8fYj/PPfw8Dx6iPA8FMD1POAOBj3j7AI9AlD4PO3LBT2+wAc9qYsCPaWF9TwZfAE9kPYBPeng/TxE+vw8UJAZPZrEGT0ZOQ49xvMFPZuSCT36Ugg92MoMPf2QDj2Qjxo9gA4SPRaFCj1j8Qo9EH4WPTn+Ej0d9xM9v9UTPSS2Gj1+ihw9R54ZPY+hJD11AiA9t74SPZxRHT0pRB89yT0qPVBsOz3Mcjs9qiE3PQLaKz24JjE9X4goPYX8Jj3C9iI9dg41PSfoSj291Dw9XOYuPRcNKD1Bbyw9cL0wPWA5Mj3R+ys9SuUoPacSMD3MjT89wXs9Pes4Jj0ISSw9Xm00PXQOOj0Z6S49KQoxPa50Nz3v+TQ9D48nPRgFKD3nwiw9QX8nPVLTHD19yyU9FAk8PTf1Rj0B9UI9KeIrPb4QKz2p7DE9gpEuPfnYOz19pjQ9opwuPSLGOz3FG0g9PQ9CPZxQQD2OVDs9y/9APcrpQj1jOTQ92+M6PS2qNj23djE9i+Y/PYeYPD3bKjY9yppDPcvjPT2vGTc9deAxPS3jJT07nSw9044pPY8wLz3DjzU9t60pPUN+Jj2WjzU9M21DPd1XVj0+lkg9zixOPdz5Rj1lbUA9ibtIPZgvSj1Hsz89MGBWPTdNYD3ShGE9WGl/PQR7fj2wp3k9+Kx7Pe0xej1wvHA9zCNzPVJ2iz0XQYM9a457PQxFiT10dYY9BDZ4Pa5Hfz0gDXA9B5h5PZCthj1J4YU97KCSPekjnz0AV5Y9pxmCPVzAbz0iLoE92UyIPclehT3XoZM95CqNPU9vhT23PII95USOPSM2iD2EEYM9wvWKPUBdlD3npIU9PHyJPSO5cj2fCl895hhmPWayXD1hY3w9Sfd8PXRJgD2OU389E/5wPbRuYz1GrWg9B09kPe7fXz0tBWE92NpfPZmJXD05mm89P9SAPakAmz1sqJA9TYePPZb+kz0wHZM9h6uTPbgYmj3GSqE96iqSPa6Ucz1aeXU9Dhx3Pfy9hD0OTYU9ZLaOPZVejz0/MJE91PaBPZCLcz0iJII95JGFPQW+ij0rbY89TXGMPRdwfT3Upos96JOUPcIxiz1BBY89XiiZPVrgmT3WiKw9LQanPbm3mz1H9pk9FsKOPS0wjj2HTpE9d4icPdz+kj3Wmo4919aMPRXnmT3YHZY9onSoPVf7oz0CAZg9Zb+bPaQ5jz1nGIA9GOGOPTcPlD29Dp49LvKUPblMiz2T3Z09TgyjPYmMrD3Nqag9aA6ZPfKcmz0RUZ492nypPcfYkT2ur3M99uppPR/xgz2F4JI9+ReXPeS2qz1gc6A9FEmePXUgkj1vdJw9ki6pPZTMuD2V6MM9VAnCPUwAuT39l6Q94eCYPV5rij1os4M9JrCNPfNqmT3ZWZ09r2iVPfCclj1LPJA9Ih6UPbsBqz0ddqg9bsShPY31oD2R96I9u5ykPdJDpD1MOJM9wSeKPZ/FjT0phZo9s1CkPdMrrj0k9qM9xg6mPaN6qz2d1aM9JFabPYKPlj2w9Jk9r0ipPTLAoD0A3ZY9BZyVPalHlz2L8Jw9fKOmPVsguj3bPKc9z1CPPWOdjT0m2pY9nQWvPYqZrT1S96c9hmqqPalkpj1m1pg9QMuXPeyFoj3ddKE9FsKvPSKsqz1h2ZY9rweHPQYYij2I+Y09aFCMPVaQhD2tI4k9s/GDPb0VjD1YEpk96dmVPYyylz0w3o490Y2VPXURkj22NJ09XJqhPRzRpj0SCJg9SNuCPWgLgT2IZYQ9p7OMPe5hmj36HpE97laaPSzwlz0nS549dvimPQFanj3GYpc9A1mdPaQ2nz0ro649USOfPWFRiz2vFog9hL+MPZu3oT3w9Zo9EzySPZmXmD3kV5s9+6COPQ44nD1VpZg9nmGcPcPvmz23apk9bOSUPXPMgj17Pmw9QYCAPU54iD0lCos9oruHPbvyhD38e4E9dQx9PaFKhD11V4E92R6CPW0mhD1XL4Y9PAeEPS0qjT0zM489SGeHPUD9gD0AYHA9CstpPY3iaj1Xc3E98796PeYWgj10rIs9gwuPPUnjjT2WWZc9UmuiPWAlmj0leYs9CM+MPWHNlj2cyZQ9L1CXPaRWmT0lppU9tqmTPaEHlj3AApk9jmiRPVBejj37C4s9rmiHPfFLkD1k35U9vTuUPZAqpT35d6w9NUCqPSMKlz0WfY49aW2MPaSahD2gyHo9XRdsPdkLgT0xuIQ9oERnPRJAWj2J81k9XWpzPSZtgT0BF4897fiBPeRqgz0LSYM9Ih56Pek8bT1Z+4A9tE6CPRs2hz2C/Ik97v+APV3Nfj3KlZM9ZMCSPaBJij1tyoo9oO2UPejKlT3FOoo9BeiSPSBflT1brow9XFaJPVT3hT3l6oo9t8WSPVpomT3FV5g9U1+JPV4Vhz3FgHA9c2VhPTAcTz17KlE957BBPeadQz30pTo9tclCPStfQj03dEA96xQ3PeZKNz1m2io9XnYdPb0XFz2aNAw9/48aPTaJJj3JeSA9z9UZPZ4bKT0cuxg9L1YTPfo3DD0sY948xz7APLm9vjzx57o8aJC5PIASuTz7CrE8+BGsPH9qsjxjtZw8drWmPByzozxLBKc8iH6aPLSmmzzslpc8AJWyPPaGpTwGcrI8XUWtPJhEqDx0S6Y8YRShPBzJoTx/RZo8T3aXPBEumzxiPqM8BEa8PNj4uzy1I708h4DEPIQP0Dy40vU8b2/cPMQJzDyN0s089z3OPCYzyDymZcA82ETHPC10yTwIM7U8f2qgPEY1qDxej5k80PekPK3uqDw8VbA81vqzPMw5uzwGjqw8d5K0PHUXrTxB8qQ8BgHCPEXywjxu1MA8ujbFPLy1zzz+iM48pbLDPHEc0zxjCd08RA/cPPUI0DxMots8Xj3SPC9EyTxEssA8iIm+PE4PrDwWL6Y8MtKoPO4QnTwHGqI8ShqxPHHFzDzLtM88lsPHPKEBsTwSDq88Nyu/PGW3yTxK2dE82NHOPD6M0Ty+RtE8g6rpPEMU9jxk9tM8rT/CPAkpuzyMbLE8KlqwPD1muzzYTao8VlqiPOnDnDwrtZ48MXKnPLtL1Dwz/QA9oJs6PQyz4D1QiEM+85RVPpjYRj6C6z0+ab8zPpTyKj7m8is+Ic4iPlKwLT5LJTs+0v4wPnmqMD7IJiI+qX4BPsqh2j16pgw+1Lr5Pcw/1T1FHdk9ED3WPck74j3OC/w9FvQLPm2KDT5vNxQ+iAofPqQlMD4UwS8+XZ8rPh3lNT5WzTU+WQ8rPpQWHz5RAy4+tPZIPlQrJz5SJCI+OdwZPk1EKj7S5xs+s90VPt+dAD7+yQk+GFQkPsE5NT5PTCs+A0AgPujbCj5omBk+H7+MPvl/hj5UXCA+hm8bPtnCET7Njhc+hYcSPi6nFT4HMyY+rmkyPtZsJj509Sc+RXAtPjAOKT4NoSg+QFEyPpVnJT4GmiA+BgkjPtcPSz4cN0o+5pMfPuvMIz4VWB4+SdEFPm9q0z3YBbk9q6DRPRPr3D1X2ao9Z0DEPcQMmz1qfis9AfvZPMd8mjx6hZw8B5KmPAFZrjyn3ps8bkmmPGOptTzLGbo89LG4PLgyyjzdJM88urTJPF5s1DyhfuI8IA0BPYBOAD2n6fg8aA/uPKds9Dy0YPc8Zbf1PBPS5Tx4quE8BfELPe1ICj0j4/M8MhgBPdxHED0acBA9mF8KPW1X/TxZxg09FzoXPaVoGj05kRE9GpIRPZdoFD38whA9+WETPaKlFj2PgiM9+MAxPX/vKD3SRSc9CoYSPXrfEz24GxQ9tlUUPZ45Iz1+ciU9ClohPSFcIj0y7SI9t1AcPTYIID2IYhs9zkAUPSvkGD0kNiQ9RAczPUC1Nz06XzM9buw5PZBwKD0jeS491cYyPcyUNT3MSz49Xkg/PbNNOz1NUEE99qVAPd19Lj0Cii09CfQ2PYyUMD36iSY9h4AXPTEEBz0fIgw94noYPZV2JD1qNS49zco4PRNUSD1ygz094vU8Pbe+OT2OtCc9V2kwPbAZSz0sYTQ91SIgPdcBDz3ICxU9nXUtPUGsJj1D2yQ9SGIvPecHJj0ADSo95LIsPdXHNz1nDzU9YLI4PaCfRD0+ZUo9/WQ/PW/6OT1QNC89Qik0PVhfPj33wjc9/UcrPU9SKj0uPTQ9QcNTPXJiVD0+Bj89WjM2Pa1WOT3r3Ds9n0o7PQRiOz2m2Ss9ePcpPYk6Mj2Jeyg9XNMvPeHnPT0sVU890BBGPT9USj2HQEY95kxIPYQFXD0QVFo9ILU0PZYsJj2Zwx89Hw2APRo4eT0k3G89TC9lPdoXZz31tXM9ZfF8Pf83eD1mLH8939CDPaV2kT2HII89lUuHPWhyfj3r7Gk9U5FyPapygT3i6Yw9h6WIPU8sij2K/IU92xWDPZIbhT09Q4U9s7GFPedCkj3QeI09LFGGPRsfij1+bo09z4uAPQVjcD3kRn09DPKIPW8wjj3IVYw9I86SPftOjD3iIng9YVVwPd2bbz3gMXk9g+hzPd89cz2S8Xs9CiiAPRX+YT0MYGo9CAF8PbEIdj3mPHo9dZZ3PRg8Yz0hR2E9HhFiPdTCgz3pX5U9gXGWPdKelj0Zg5Q9b5GTPaxqiD3vgow9pHSOPZpUdj3mhYI9OOB7PQWBeD31TIQ9CM+FPSfRiD1rGYU9/5+APd2ShD1Vuos9J9+LPShChD2naYU9NDuBPbn7dj12Rm89jVOFPQ/8iT2Bhpw9I9afPa+Wlj2OSqI9EoSqPfQflT0Ta5c9DsSQPdidkD0VmZg9CiSVPV1HnT2a86M9ygigPbWylj1itJk9iVyXPQEimT1Xy7E97EifPbwqlj3A3JA9QHGWPbnCiz2NroU9RjiYPf0HnD0g2Is99kqEPXKfkj2np5w9Y/usPXmoqj1TjJs9Y9iTPaYEoT1kfpc9jx16PfCnbz1jiIg9vkqPPfSvjD0GWYo9dZqIPaI8iz3r35c9wJOePQdTmz3X2J095xukPSCXuD1xKb49PlHDPRi2sz34K6I9pVygPdg0mz211JE9RxKSPc5pkD2Y3489omabPdKjoT3hsqI91FWmPUKlqT2Uf5w9MOOZPWOBpj3eLaY9nMSjParslz1nWZA9laCXPZ2Cmj1BrZc9U1KmPRW5kT0p8Zc9wFKTPTHMnT2kuaw9LcqiPXwwmj20ypk91CaePYsxmT2l/KE9BcOqPWR6sT3nWbI96Y6rPSVWpT1QV4o9QruMPQV5mj13E509+PmTPZ2rkj0Fpo09aCyWPcuNnT3YaZU9d3eaPQYbnj33ZKc9CzCiPXyCoj3CYJI9pO2MPYALlj3klZo9w+qaPTOggz0Jb4E9rcqFPeWXlD2BNJA9GBWRPaugrD3Vdrk947yzPXEYoz2w6Jg98xSRPbXAhj3gAoM9YHuKPb7Slj27LJM9vlmSPbUGmT1HB5Q9a+iFPQMJkj1VgqQ9LHaiPS6tnT1kbos9SyuHPZRriz3XxY89pwuJPeAJfj3wH4A9bUGWPXM/tj2J+bM9dMKZPTk3hz3J3mk9pUJmPSvPeT1j/o09AfOSPfjBij0QEYY9sQmIPfcpiD3GQYQ91f6UPUrGnz26UZU9qXSKPdj1gD34AXo9DEB5PagVdD3hWn09Y+SOPWbUjT3gH4Y9U+yBPfJlfT2TxIU9fA6OPYCZiz0SjIs9D9uJPXTHgT0Fj4k93S6FPVQhij3x9oo9vWWTPdJ3nj2PM6E92lOiPSxZpT2cMpM9aX6XPQw2lD3GjIY9G5mDPc8ohj2a2oQ94s2EPQn1jD3L+4Q96zeHPaBMhT3EJZE9u1edPaQsnD20r5s95OWdPaRYmj1cs5U9at6QPaMcij3MtYA9Wnp8PZradz2C5IQ9Z0GDPa0rgT0eyYU9d0NpPdusUj29iFs9PBhuPUHvgT2enYE9G1F8PU8XfT34coc9ewuNPVWwgz0CbJc9rLOVPbNJkD13Qoc9sFB6PYsQfT0cT3c9POuHPSZZhj1q3oI9Gq+XPfFDoD2tgI49uySPPf2OhD383nY9flZ+PWsEgj1bYYU9aBOGPU3zhz2S1X09mMJZPUyJTj0AnD49g/MyPbU8LD3Ttic9ABs4PaU5Nj3dSzg9Gz9KPTycWT2kBEk9iMw2PSSKNT2gdCk94vkYPXyvGj1Sshg99xYTPTBGED0lVgk91U4SPY7yIT1r/RQ9968TPZWZHT1gog89j6vrPML/1DzUBs88zyS6PGkUrDwEM7M8hIiuPDRgrjxCK6U8iRekPLRcozyQuJ48+zOOPHxBkjyOmJI89aOUPGNylzyxyqQ8icLRPJAPtjxuwK089rehPER+pjznM6Q8m8GfPPqcszxaNM48SEvTPAcw0zzV5cU8NArXPNnl1zyNRtY8DWzmPAGb4zxsZtA8D1TIPGGfyDz/Z7k8hA26PPfq1TyIzco8I9LDPHW7xTwI7r08NKrCPHLKxTynx8A8GijDPPN4sTyBiq08djisPPlYpzyJ35Y8Gr2hPHgQsDx6ssk8+7jsPIRl9Dzx4N88B5DZPLWA0TzjH9I8rknRPPbp1TxgQNQ8YQu4PDPAqzySjKY81GC0PP9gsTyTiqc8m2i4PHCpuDzIj608LEm+PEGNyDwo7bo8Tp+6PJpFyzycLcw868LLPH0z1jztItM8qVbFPAiF2DyFIuM8yGvYPMgf0TzBZsA8lba6PIp9sDyrHbE82768PPoEuDzsRZc81GmWPPKsnjx1+MY8FCEJPcOTkT3T76o9RUTxPdn8IT6pey0+1AM5PpQgNT4eLjs+DfoePkFFGD60uhY+4vQlPpUiLz4YCiY+I7QbPjsZNj5jui8+IFEjPldAJz7trS0+TvUhPiqaOD54IiY+1ZMJPttF+D25gdk9593UPd6R0T2/3c09/27TPU1C1z294+M9IOf5PYN5FT7g3CQ+beU5Po0gKT4mtx8+/tA8PqJ9SD6+PT0+Tms3Pi9kKj6OBTY+jaQZPppI/T3O0A4++B1EPjVHcD4Jups+99FUPn9mFz7mEDw+Tsc7PgM+Oj62OTQ+2O8EPoj23j0Wsfk9BvUOPq5RGT6MgTI+kjc9Pjd1VT57xVE+o+EpPsvwMD61YkM+GuQ3PqtWKT78NDw+bRUsPqrnND6o9T8+EzwdPrm94z2hKk49mveuPExnhzy42I88sSCsPKp1qzw/qLE8iTKnPJZCoTxmRbA8DbWvPGzuoTxIDq08lcW5PPVwuDwbu648qAOzPEj2xDwzg8U8XWfHPFHrzjyhZc88cP3SPBX01zxO3vA8EnvxPJcx7zyswvA85hXmPHpf5jxUbOU8+Y3rPMKK7DxbcAM96iUKPcmA6TxkBfQ8jcQPPZvgLj2+2S097/chPetaID3iPBk9Xq8fPVwsGz0k3BY9BcQZPcMcET3KYA89kugQPWovFz2R4hg9Z98YPf/kHT0xnSo9F6olPYNyGz3DQQ89QSsPPWAlKT2Bnik9yoIpPWPwLT3styU91E8lPRAsLT3rvCY99KUnPb9qNz2qMyc9YrkqPXxJMj2XLSg9C/MfPTjpET3nixI9TEolPfcMLz24Yi09+8o4PWh4QT2xjTA96GwpPfv0Lz1iTSk92wE8PYOIKT0V4Bw9COkSPWw9Aj1QxgQ9O60OPZpdKz0MhC899XImPUs3Pz1JgDs9NPE9PeTtMT3T+yU9LXg1PUclQT0hhiM9fjgSPQoPET1Kphs997ohPRauHz3nRSA9DjMjPb+CMT2AkTQ9PudEPTiSWD2WQE893yNJPZ1QQD24UyU9b58oPQTKNz1G0UM9lz4yPaBGPj2bkS49rHMrPTErOD0zjT89dQ9APbURQj3u4zM9noY0PQ3wPz3JCD49DdQ+PeUHMz2RTy09GAI7PTOdPD1JAjI9Dkw/PWnfRz1XB189prtIPRhJPD06xUQ94B9APXV6MT1rsiM9nKIZPWb4ET2yRRc9WV9vPb0Naz20qWc9DaxoPXktgz2mg4A9OzxvPVtjcT2CNoU95pKAPR3wfz0xk3s9XxyJPQgUhT30rX89gBaCPUsQjj2Z/Yw92EKRPar9hj07rYI99JqRPeS8iD3j0pc9EKqZPfqGkz36OY09kBmTPWjiij0Qa3o99wiAPbBbgz0tr4Y9/6+WPXYgkT1/wYc9jjWQPXV7hj1xwnU9BYVtPVVqez2RQoE9TjKIPctWkj2udI496OyIPfMKbj3vxHU9b56IPUDzjz3IY3I9hCtnPc/Ybj0GQ3k9ZHqPPWYTjz11Sog9qD5gPXOQcD3/5209sgRsPdqrjT39lY09YA17PdgHZT1Sa2s9VYppPc/Qcz11UX89wXd6PZrvfD2wrpY97EuOPfzifT0GA3k9ueiAPTARZT10LWs9sQ11PcdRhj3tuIw905uOPdapkj3MTo09aIeVPZvalz01gYk9ZPiDPXL8iD2Rb5A9XpmUPTO0jz1xhJY9CaCJPV+XgD0aiY49xSWYPaN1jT18fKU9zwWrPTZ6nD09zJk9gG+MPe/2lj3WTZA9W9OQPQwFjT0q+XA9jcVxPazBeD2+lIs9cTiSPSzvlT25hI091K6IPcMnmj152Zo9jNabPYevlz1Mp5k9RRyIPbTqhD2Gd4k96XCKPQ1jjT2tM4w9txuWPeoIoj3gP509keiiPQkIpz0Mnak9lLqyPch8uD1M5sQ9T6m7PcD3pz1Sxak9996iPRkCoT0YkJ49jLWaPbTcnz3LVZ49V36YPRZdoj25+J0935+nPW71qT08Sp89BQKjPY0Hrz1za6U9m/OhPU2Onj2O8pA9QeWXPWOJkD2H1Iw9q5qUPe/alT2Uep09ql6oPdjAsj0KjL09/QWtPYfupj2zDJg9q9aVPfRopj1tILI9YBmvPbnDqj0rP6s9n0CwPecIrj3xm6c9z4SgPXSToD0qFKg9NdCrPSYpoz1te6Q9FaadPfLqnD28J6w9HIqtPTz6oz0pHa096picPV2RlT31D509dJGTPT1yjz1TJYg9x+l+PUJ6gT0TIos9fFOIPXGPkD1l9pU9lVugPfrJpD3UFKE9ZiibPXVtmj3hNpI9dK+SPUSNlj3I/Jg9YImSPcRsjD1zfYM9+vqGPUuegj0Tvoc9fM+GPTk+kD3n2ag9GASsPUOYoD2JfIY98aeAPV+rhD0tYYc9Wn+GPc1biD2+xpc9pV6cPRIMij0qYoA9UwB4PaVZfD1j/4k9kQt/PcvQeD0RU4U9Tr2ZPeKynj31Qps9ge+VPXbxjj1WkpA9eD+aPRU/ij0Cz4M90HpxPRp1Zz340nw9IHh1PRGfeT0Jr4w9bf+jPQdQmj0FD5A9yLaLPe01kD3etpk9JkOOPfFkgD3rDo49Z1KUPYmsjj3SEZQ98amXPUidkj3mBZU9ipqdPcKMpT2lgqY911CnPRiolT2o1JU9EN+JPe2ggD0IXHU9LoSAPY0Piz3WR5U9beafPZ6mmj34jpM9E4KOPXUdmD2z0Jw9ocefPSBXkD21LI09GUSOPcZuij2Kx4Q9SW6HPb8eiT11NJs9V22cPbGOjD17/oY94HmDPXhEZj3e+W09ud1rPVOTcz3yC3090i+GPXMaiD3sLIE9coeVPV/3kD0BnJY9PEGVPbK5hD1AYo89K2eNPXbIeT1P5G89mCp4PRpBeT2bQ4A9R+qLPQqNjD0ajI89VoWFPSbxkD06Boc947KAPT0efz2i0WA9Eih3PWI8gD3UQGg9oShkPbKTbj0Tj3g9dO9XPTD7ND3F8zA9rZQpPSbMID1Q/Sw9dZBNPXnwYD13Nlg9Yr5YPReVXD1aWkU9oCQcPRtGGj3yaA49AicQPVpZHz0TnxM9IgofPdmoGz0RlBU9aZgcPQNnFT0KMxY9PlEZPR2sFj2M7h89uQb9POnvyjxGs8A88hnKPAj9rTyX4Ks8LoKePKUDozzNFaM81/6XPHsjiTyEwZk85SiVPExIkTyp2Y08ovGDPADLrTxpgbI89m6ePEQHtTzNNq087f2vPGRBtDxtqrA8g4LKPNOkxTwe8MM8aabKPDpo0zyjvc08PgjkPMGq4TzXfOY8QrjjPM4uzTwfVMc8jXTCPJVlzzwM+cQ81vnLPGuUyzxjUtc8cKbsPGAM3zwSxsY8AczHPORt1zx4itk8DIDDPLsuvDxQ1r08/aiiPGWnojx+qqM8kEK9PH+5vTy5WeE8B07/PC0W1zz/OMs8dGC8PBreuDzSvcs8azfUPC1bzDw6EbM8EOusPNohvjwhQLY8EgOwPHORvTx068g8Lz+/PDj/sDxkg7w80LTJPKc0zjylYdE8t6XuPMH62TwT5to8cqfsPGK03jzsQ+U8xpDlPKZF5zwec+A8cSXIPPNGyTwWib089eqnPPgHpzzQUqQ8nvaWPFTnjzyYrJ48tq2QPGJdyTySWoI91ZIbPnZ/Qj7C+Ec+ckJOPqW7LD7feyk+810rPiCxHj4eDh4+4fYqPqDYLT6B1Cc+5XMePh4qJD7szDk+9tgxPi/hMD6QMi8+050wPvs2Oj7VZCQ+jvApPqLALz6WdDU+F28/PiLjIT44syM+qrspPuhTED4+JQw+tnIXPtdTJT5Jpys+4AUIPkL0yT1PYf89b0k7PmU2ND6eFz4+1ldOPm5JRj4uN0A+6fYdPki/Hj6eyRQ+N6AcPgKRKz7FrR8+J7cJPr9SZj6665c+FQQ2Pju5HT51lyU+qDQ0PvYRKD46Qy0+nIEQPtIzCz5Tsgw+N94ZPkujFz4e1x0+5ZI6PpBENj4oXS8+KRRFPv0MVD5QYko+NJ84PpikGz5QLxs+ZIImPgPOGz52Y789qPoNPT8MgTx9TVs8yBKYPC/ssTzolpQ8+geVPJ+sqDywmqM8cJiaPHnGnDyyjp48DrufPJ8jojzjW6c8IUeuPFk/sTy2vbw87e3APCjg0Dw8c9U8HaHVPIMF0TzxfdQ8lAb2PJjC9Dwz5gA9XigEPe0cCD1zawM9d93zPLD38TwFSAI92dEOPdLbDj0L5yM9sNEmPXEiAj3fcws96KwXPR3yIT3Jnxw9focdPU3EOD3eTyk9FYoVPX4xDj3WlBs9Bg0VPS8gHT1p/hM9HLUHPS6JCD0AwRI9J/EYPR/YHz3IRCk9n1QaPabYIz3YPR89s5ccPeoXKj2YtjI9KhAvPcZCKz0BszU9DI8gPYBsGj0NGhU9cH4fPQQ8GT0F1SU9O+sqPQAmJD0O3iM9yO0dPb//Jj1O+Cc9mW41PSfzND2yuSg9ppwkPaGUKj2xATc9pZYwPRcdLj2JSjg9+Xo0PVqiJj3YbQw9qGQcPbeUID0PcRc9jAkoPY8AKT2igik9eOYoPV2pOj0LnEU94/9GPemQRD36ui49kWImPWKwKz0tJS49GTQdPSQkGj244B8976oZPaQxIz0rtSs9LxEmPRkKJj1XAy09dMo5PZdsPj05h0M9kqsuPQOvHT3yfRo9vD0fPcklJj1w0Cw9NWcqPVmuMz3yHTs9Cb9JPakcPT3S8jI9fPcwPW9YNj3uUzU9gHMiPUYVIT2vHCc9Gr8wPa7cPD2szTg9qetMPeqPTT3Xyk89WFZXPYuUVT2EjFM9K7BJPeXFNj1CFjA91dQuPe22Lj1WHSk9WcEePT+oID0DgiM9NDNxPTMIeD0tvYI9zqd9PTUBgz29tHE9W+NvPZn6bT0u0mU9Ir96PbVchD37roo9hHWMPWZShD1UHns9KGePPXeClD1n8o89+g6LPZGjgz3nPYY9tDaGPZg9iT3x+YQ94XaTPdD2iz0ClYs9FAB6PbECgD0FNYY9o6aYPWPmmD3PPog9d1mEPXlrgD0lMYE9FFGGPcWKgT2fn4M9Hjt6PdeRaj2d/nU9aByKPTjrhz3Ping9r51wPdVrfD2Av4E9Uw2HPcmxhD3e7YQ9NXOMPQdCjz3JE4U9kdGKPXbBgT3DfGo9cjRtPf+EgD1hYXk9z6pwPQJbgz2vvoE97WFuPTrNZj3LXnI9y4p3PURtdz3O5YQ9kV2NPcaFhz16YXI9diVmPTGUcT3gyWE9+755PWYLfj3gQXc9ut6CPQxsjj13BpY9pSuPPU8mjz0b45w99OKTPUPKiT088Yw9QYuXPVOelz2eG5o9CsyUPdKwjT3gYIY9XCF/PR/Bij1ZJZE9Ru2QPUvpjD0R2Yg9kTmQPe4rnD3fUpo9qkGZPeWHlz1xoI49HxONPQB/gz2634Y9glKSPdZHoz0en6k9vZiwPQMcoD1KX6k9+vanPbGmmD2QRps92uqVPduvjD1COYo9Uj6fPZHQsT1vLZg9gxaMPTRKlj1CzqE9OQOsPWjjpj0TCaE9Vw+zPYAYsj2SSaY90GiuPfOTyD1BELs9MuejPbOmtT1bpq89Nk6jPdeppj1OWaQ97CeYPRUioD19Pqs9hw2mPed5pj1iaZw9hdOkPYUTnj09uKg9EqatPTuHvj2zZaA9aESRPdKsjj0Fx5c9KyyRPQKkkD2QdZQ9h2aVPQPSkT3z25k9n26wPaRSqz0l3a09paKqPTr4pT0rn509OQyYPUI0kj0ai549WK6mPbs4qz2LcqE90hmbPfIvnD3uHqU9heayPTq1qD27IaM9SdiaPW2knT198pU9FH2kPQdBpz1PMI89jnuZPfj9lj2aR5w9SZ+iPRhRmT2HaqQ9LyWbPSM1jT0nmYk9doGMPZj5gT11y4k940idPUT9nj1p4Js9b5mXPXvvlT0Zd5Q9xtGfPVmvoj1r+K096vKyPfvbqj0suqQ9ftKTPcNlkT1fwZw9mRiiPTiXnD2fr4o9kp+VPXy+uj3fIbM97e+uPStImT2LkIc9HduDPff9fT28uH49HzKRPevfkD2ya4g90DiHPWOSjD0TmIY94RGGPfRIiT3lDYs9e7qPPW99kD1G3JE9YyuWPY5dnT2uBaY9IEmWPUfBkj1HU5U9dTKOPXrwhD1vw4U9FgyBPaXShz1X1449Dw6VPbX7nj09yp89/SeTPZP7mz0JtKY9Xm6YPcPahj1XtoE9vjmAPat3fj2iS5E9+FyoPdGSqj16NZw9D+qQPRPhmT1xfp09ZJuaPcCzhz0r24w95OCNPYfYmj0JeJc9PLCVPYOykj2vOZE9H5eTPe1SlD3+85I9vW6UPU0Slz0Po5Y9R4+IPfhwhj2YmoA9bgaIPbwRlT3M04k9wLCPPZZ8lD2+95s9zsesPQuWpD3gApA91i6YPbzbjj1gGng9a1FkPbLKYT2mNGo9QUt1PRA5iD105ZA9mvuVPc53jj3NCoY96i+IPe3ghT17xow9MMCSPVpVjD2mCIU9Q5J0PRYTaT2/b4g9KOqHPcu2hD1aL3s97deBPeXXkj1zcpA9duOGPfuBjT3plYY9R9SMPYagiz3J63w9aM9sPU/ecD2mh3Q9ja92PQI2Zz1lQk49Ttw8PTSdMz2LEyw91V48PYmtMz0jvUQ9vANZPQgjVj1AF1E9vPlAPcm+Sj1jODQ96wIaPVgpHT2vSCE9qhglPYqyGD0E1RE94dcWPTEYFT2achA9hgoHPZ2xID3QFUA9BRgkPZHnID2UowQ9aUjwPOasxDwNdLY8LCizPFLZpTwFmKY8EA+tPJZvqjyu0608lnSvPC4+qzz5Lp48iN6rPLUSpTxEY608ALWhPBt9qjzMX508FIOxPDsnsDySEOY8w+3DPFrRrjz3crU8q9e7PNyTwzw6p8E8ef7FPIMayTwcJtE8UG3KPA7qyzwj97Q87oC+PIeqwzzQy8w8ovzVPFjFzjyS6dQ8nA3hPPJxzTxXxs48wfXQPIqByjyIfNA8ifTUPA9fxDyZtsE86gfJPA3K0zy9rcY81BauPKktuTzWocI8gqauPIsvuDymXLs8yWq5PFC1tDzarq48lBO6PGj/xDwYjcA8lyrFPHmi0Ty1AbQ8y5WqPApLtTxeKbk8URG6PDEtwjxYY7k8zG24PL7ztTxEBcA8yhTWPNp6xjxGpcM8//TqPABV6jzQZ+48a4cBPSxs8Dwujck8jl7lPPm57jzA9dI8DcTGPOFPwDzElqs8jmafPLmYlTyY9pc8uPuOPGnciDwXw4U8+kijPDKa9zzfWYs94qcCPgOFPj6+Ql8+dP8uPmOAGj50rRI+hLAWPt3uKj5iDBk+424fPo+XPz5fES0+7MEgPqRrNz5WUUg+CulAPnArIz42TiY+CUkwPu/RLD5BLzQ+8rRIPj4cOz7cvjs+LXRKPgmiKT587iA+DpQrPu69KT40kSA+WqciPpANHD4stjA+u0A5PqgCBj63HBA+Y/g8PsdhUj6lREI+iQAtPtUlGj6FFCs+RVc7Pt5TET5QxAI+c38FPvZdAz4xG/M9+fnGPa+UFT71liw+h6NGPkb1Pz4JpS4+u/44PisPHD4aW+09s6YHPr2QST6QURg+UMIMPmhXBD6ySgM+oY0nPg+dLD4Sey8+j8Y2PvAxNz7jtlE+sYxNPgiTID5HuQU+AhakPWxHJD2Zgns88N3UPADmrTxZ5lg88fttPJmElDytPJs8rMiZPENwnjzEcqE8gUOoPBcXrzxnHLQ8RAPQPKazyzy12rk8Qj6rPFBxtjxOP9o8ld3mPH3qBz3AMgw9MzkEPeMwDD2k2P48HtkEPRw8Cj3wJwc9vP0MPenKBj3VR+48HdftPBxx+Dy5WgA9SS8CPbGGDT0JES09L8MdPTmPDT06zRk91OMPPYBhEj2NCRw9Z/syPV9FMz01Jhg97aMJPV3QBz12Sww9fJkbPR2OHD04BRY9iG8RPRUVFT2VViM9JFscPSYJJj2I8Co92RsyPQznSD2MLT49baI5PQVxKz2u8C89s9ErPUpFFj2Wcyc93TIpPZkPGT2dAhs9kNkgPfH2Ij1Sjik9URExPeFHST2H+EM93u0zPfmENj17zjA9C9QyPdSaMT0QSSc9bNYwPf6xMz3inTg9xj8zPVInOT0Yyj09CVEzPVC3Mj3yTDc9X/oyPc9tMT3WEi09HaIiPZbJKT2qBTg9ga8zPRU4PD0IaDQ99iEvPelAMT05XDw9Z2kvPelfND1+PDE9mCUaPWUgCz2TBAo9QxIYPRKdID1xyw49g9ADPTaBBz0jDiA9Zf8rPdl1Qz2Wc049kgAwPdPsHj2bbSE9TfkhPbM/LT1QaSU9qSoTPTDOJT0SZzA90Ac2PWbINj0vFzw9ZzxBPdInMj0MVxw9BUsZPVg3Hj33BCY9TAA/PZkSRz2suD49XXZIPbyfTD3tuUQ9AY8tPckHIz2a/ic964A0PS4ZNj04qCk9TREnPQBGLz2wfCw9Lq4ZPRA4Mz1A80E9fk+DPZGdfT2gS3Y95mFxPUmiYT2TIm89ojZ7PQSZdj10o3E9oeWKPTY/iz2w4II95umAPeB2hD1gG5U9HviQPR8ciD0bm4A9jYKCPVcgjT1FpZI9pN6HPVlzhT1tAos98LaRPfh/hj1vin89a56APTendD13E4A9rXaPPfDPjD06NWM9pidyPZsBhD0jq4M94Ux+PRy8fD15BXo9eex6PePZgT0ODIE93DmKPaSPhz3hOY89oSKNPZ67iz1oR3899LB0PVGzZD2CsWw9WUKEPdMZcz1KIlU9kNNfPXHfbz2sV3o9Z5loPU5KfD2bV3o9yPdwPZiQaT2ApW491Hd0PVCIfT22n4U9eyaHPcvXfD0nvHo9HPmCPXzjcj0OnVg9NCtWPazKZj3i8H49LD2RPc6viz0zk2k9QPt7PRMXjT2zdJs9geK6Pf+TqT3dwZs9uBaZPQDVlT1/wZg9X+WYPQ+znT2ZkJM9mR+IPTgdgz3dcYU9yBuDPbMuhj0yuIU9GSGEPVHckj2d8Z49oUaYPX7wmD0cLpE9i8eVPYTAmT0Z5ok9xM2QPViUkz0kXak9P4atPcr7rT331LU91LOoPaqYoz0T7qM9so6zPeAioT32d4092+iRPRzPoj2ePp09SdubPWt/pz0ILaI9MgWhPTdNpD3i5J49yb2VPQuQnT0iU6Q964iwPbHQtj1Tya89BSC0PbVQpz2Q85s9eDadPbibtj3Y8rs9MemmPWfLqj3T6K09RF+vPf4kpT35NaA9/62XPZ3Ukj1WTpc954yQPa0Mlz0keZQ9Qw2FPU6kgz2ok4g9pNJ/PZ3Nhj19RYs9vfGRPTxekj2PyIo9XmCFPbE/mz3gwcI9mvusPX5PoT1K8p49hQeqPRIipT20nqU98xSuPTX/nj2RlJ49gmGpPUHQoz3dl6Q9j2SiPdHgrD1bbqI9vX+cPRDBjz1uSqM9IsWuPaLFnz21cpw9JKeePeumlz2xkpk9qIWtPVHlqT34m549jzi0PYoCtT2T3as9wXSUPSDejj2zOI89Cv6ePbDhlz1FyJU9TLqYPbK/mD0LXqQ9+6upPS2Ppj29yJ89vN2hPW6nmz0m1Z89yDemPVhasT3iFsA9ccu1PemMrj3Bsqc9qpOZPXvsnj3OEKE9OTqjPS2gkz05jIg9GGaEPVk+gz337JY9uSmbPXANhz12uII9+KuHPXPXjT1hX4Q9OymHPTtbiz172I09MTiGPXlNhz0nzJM9IHWZPdaalT3yQZU9yBqlPVXAnT23mKA9w0GUPU0sgz2j5oI9H9aAPZzqcz1Hi4U9dw6PPc70lT0rIJY9xhWePYoUqz3sdao9y4WUPcSUkD0rF5c9ixOXPeyjhj06TJA9NZCMPV5qiD1UTJ49TTqgPV+Nlj1ylZE9I9CVPasEiz0eHX49zD57PQa7hT3SPpE98jWmPWl2tz0amak9s8ihPcqOlj2aUpU9OjiRPZZriD0dQYk9P4iJPaGKhj0vmYY9NSCHPR10gj0cEZA9etGRPdo1kj0VNJo9EkqkPR58qj35L5M95d+PPVpYkD38BIQ9rnmCPQRwij2VCIA9bWFwPbTDcT10D4I9976KPYAsoj17Nqk9fDSZPSu2lz1U4Y09dX2UPYlqjj18w4Y98aqMPRMUiD1dIII9/Eh6PVHvgz1vN4U9Mf6EPbDBhD1hC449qf6PPSoPjj01MJQ9YZiaPbz7pz2j85E9NiKHPeoBjz1g8oI9DiFdPZMPUT0BNlk999ZLPQEUOT1nhkE9A5EzPV6tMz3TxiM9XpUxPQGfSz2U31s9B5xCPScWND1nlSw9aZYiPXqrID22Jx89Qz4kPXwbID3yPBY93akUPYMUGT1WBBA9VDgOPXNqCz2gNww9PhwWPVh6HD31QyI9b2kUPQdMFD1fHRQ9xuQAPSxXyTwtvac8raiePPfKsDyZqrw8tWC4PDi5oTxvm5M8E+SoPIhInDzOZZs8KOOoPCl7rDzfVKs86qmiPN31pzyYKLA8aIrMPAJevDwvzK88LXe/PEwvszx1rL48KoC2PD6wvjxpXb08iom9PL7exzylXNQ8PjzMPNydzTxYPbw85mLAPLmK1Dwp39w8RMLDPNohyjxEC9s8hXXKPNclwjyWNNw8NpDUPJruzzzGPNM8cF3XPAnCyDxD88487ATmPBJN5TwR09Y89LTEPPMozzwmptM8tnrRPNtcyjxXmqg8acaaPIpSnjxwNqQ8T8GgPIt6pzxtwsY8f3/QPPvsuTxGQbM83IG5PGZqvTwnrc48jIy/PJ44qzwV46U8SiimPJrwtTz9DdE8W3X9PBe9+jwo59E8iYTZPKeA1jwttOk8fn0GPdM/8jzVdtw8u4jaPAI+0jz5s848PSK5PDsPozxd3Z08x3CSPEdJgDyOqYY8BtOBPEaMcDzHBms8i6OmPMg7QT1AfJ89/135Paj+PD7qb2k+A2wxPoPsHz5LpSI+4ZQgPmtIJD4BWxg+BbkTPstTJT7tgDM+LttIPi8+WT7E5C0+YV0iPpFGOj4j1Ts+L0lAPqjyQz5KZzA+mn1EPtviHz4b/BU+Uh4dPlxzJj4z9CM+jKwnPgFoJj6IDyc+btYfPl79Hz4Ifi8+zdVVPr4KJD5e3Bc+yUQ5PvYpUD4qETs+lrMjPhQwFj6BCRM+B6koPv0MIz5gOhs+eMwUPrunHD4oPhI+JNbkPa1ZAj6vlxs+aZUVPpqzEz4AuBI+VxUVPk+JHT7Pmx0+D4ZoPqUTgD59izU+PU4uPlEZIz5fPig+wf8nPo1dKj7/EyY+RjUpPsqaKz41pxw+OS/0PdFqSz37Q4g8BTNaPD5Wnzyn6A89dGu0PKaJhDwovZQ8rQWVPPFkozxEB7E8XL+yPNFrszyM8rc8t5W4PKzb1Dz1Kd48dlHaPDu1xzwUR7s8kBGyPLsj1zzd5+w87n3tPLOu+jwxowI9IKoZPd6OIj1aVhI9FIb2PAkP4Dy/XuQ8s1oFPQ4DCz2kXAY9QcsGPXfZ9TwP1Og87fMLPcsHFj0LqhQ93R0RPS1TDj10ORU9RV8fPWO6Ij2fhiU90X8QPc0uAD0Fw/o87Sb1PNtAAD1lphI9feYlPfwHEj3UpgY9c2cVPUz+FD0KfBY9kW0dPfUNIz0mjiU9xVchPXqDGD0mbA09tq8aPQ4UJD1bTiA9QM4WPbjGDz1gzRc9C7wePVmsID2HJRw9ay8oPRZZMT3xDjM9Ako4PedyUj3wU0g9veE2PVBeMD20fyc9LV40PQwmNT30PDM9EdknPZILJT1RXjM9kOo+PdGFTj2xn1E9Tuw8PXOULz1QhTQ9mAMrPedPID2QxyM9LrwsPTHHMj2Q/TA93fstPVfTLD3ZiTI9y4MvPdcHJz0VGiI9NpMpPUvfPD1RZi49ErMcPYXXEz3Bnwk91NkPPY+kEz3VyRU9V1AwPekBMT3CIyY9NWIlPa0KLj30Zy89Q1YbPVf2Hz3nQiU9z7w0PVeeMz0j8BY9i+kKPXwtEz22TCg9SZI/PQyYPz2Xj0Q9ZsFMPSphOz0c1Bw9RkAVPcjKGj3ghB89WGMjPS2OLz243TY9inA5PXEKPj3Sdi49qR4rPZ7cJj2yKiE9Ih0lPRAfKz2zlzA9w+gnPbkeID0s3Sc9NEIgPWeLKT04qTE9GOh8PdtEgz3lR2w9K0NkPRbcdj3e9HU9+KN4PR8ggT1iqoo9KvSKPRTkiD0jbYU9W+mBPT1rgT1fnJY93KqfPc4qiz15Soo9pFeQPWyMgj2dDIQ9QqOPPX1ckT09U44992KGPbu4jj3ebYU9VsJtPR6cdj20gZE9lOuOPaDpiT1lQXc9dF2GPfBPjz1+QIM9W8l7Pb3Oez2U0n09aOyVPc5ykD0aNYs92d6NPcVDij2Z34c9brxzPYrKaz2ezWs9e+FdPUAlZj2vTW49OX1wPca9VD38DVU9gARhPdAYaj3gKHE9E8J7PfhJhD0uoIc90D95PdjoXz0A0HE98ZaDPeXLfj3lZIk90TOLPTDQez2Lqlg9TllIPWlHSj08ilc9UbhnPbxSez3nP4c9uq6NPQn7hj05I309cRqRPdcSoj3C3LE9Quu6PRSWrD3WsZY9v4GBPbt3dz25RIU9uiONPQmYlD0hgZA9bFqKPUkbfz1luXs9gliFPUVtiT3s/ZM9Ou2OPRfWlz11mY09X1aHPcyTkz1L3qI9eNOSPVVDjT2kMps9KECcPWrimD3OYq49hsSaPZPJnD2CxpY9TYeMPcXomz1VM549hy+RPVVHij38Fog90NqYPeeUmz1wSZ89StipPeIHrz3yV6I9jkKhPfJHnz1EqZo9YryhPTyMqT3gE7o9abKsPeG/oD3Kr5Q9PHeUPcNllj2rfaE9aEaiPWhfrj3HGLc9CP2pPVtBqT2w/Z89mcWfPX7Ihz2T3o49ueeVPbcwoj0Hl5c9MGWOPUn2jD1JZZU9S2GLPZ0plT0tmJ49jYqUPYS7kT2pRpw9ZlOmPVw8nT2qDos9xLSFPTe4mz3Bt6Y9D6aVPVmujT0OBKQ975CmPQKBqT2UUa09SbuxPerrpz0jhpQ9cmqTPa0olD3YPqY9gCmlPU+kmz2qvJY9J4eYPRRXnj2ch5o9jqWSPdDFhT1jBpE9dYGZPSwwqD2T3ac9VROtPRUItz0wMas94zeoPQ5aoT0tZJ89tVefPRKRpj03eaI9XpSqPeINnz3wnJs9PkeQPenjjj1c3Jg9oFGpPRmMpT2K2JY9u7GbPb+noD3jQaE9U+OrPW4y1D0auNM9R4/EPU+/qz2m/qA9eVOhPebrjz1DLYg9TPGLPWxMjj3yA5A94kuVPVislz3HWqI9hk6SPe8gkD3ZZZw9UheZPYpjkj0ZO4Q9J+N0PZwugz0nuZI9RHWVPUewjT2QqpQ9AwqmPWDVqj1EQaA91BKdPfQFlD1cuIw9DFSJPWw4ij157pE9IKCKPeWyhj1OI4k9KSKRPUzroT2LBpo9wuyPPSwMiT33hYk9rBWGPRtsij3E8pU9XKihPfzenj0Htp4902ycPdnjjj1IHIc9IuOTPSKSnT20z5g9jR6FPYPFdz2JD209RRWGPdwBnT2Hg6k9nR2lPft+nz3elYE9uqd4PfQfjz3Ej4s9yreAPe0xej3pY3U9hapsPf+EcT2HW4s9bB2XPaB6iT1cAZA9zx+cPeZklz28kpY9zguOPRHwiD2+GZE9YleXPWQwlT0yIoY9zzmXPXj1nz2Jv409LqWCPUnujD3VM5I9FcSZPc/BoD1DYZQ9TWqEPTZbfj0WRY09WiCQPTdUgj3V8nw9ooWCPWw7gD2Q4YU9tdeJPebuhz20UIU91EGGPUvNhD3nEHw9H4+NPazclD30NZg9H7yHPUCqjj3ieIc9DKWCPRc2dD1HamQ9GLI/PaY9LD0INB89SDIdPZyYMj1VvCY99VYhPQ+XIj0oMDU9uw5APSKnNz2NfiU9O+QEPfyABj3LLw09L+4SPakMDz1Z4xA9joEjPTfqIj0oDhs9ei4hPbr/Hj0z0Ro90SQVPaJOJD1KwRY9D2gSPQjlDT0l+/88bJrKPKI/0Dyz1ds8BfHRPFoVrDyyi6Q8pdCzPPFYrjzdwKA8R0qNPDQGjjwcSpQ8h9mgPMfbnTzA06k8rBa1PNByrDx8Ra08SVGyPHDitDxFZ8M8gljxPG8Vzjwbs7o8+UnGPJ4NwjyFS8w8PMDIPNVDyzzXCec87azhPLFf0jwaT+Q8NB3QPN4gwDzrWM08P5q3PHPjwjxG5cw8XgrLPP7g0TwEC788Mr/CPBgJ0TxziwQ9GLr/PBlO+zxrQPE8fRLwPOcB1jzrTMI8F57KPDXp0Tx7E9Q8JcLCPId+rTyCTLI8NHydPOdIkDw0WpM8IZGZPAe2ijzpM5E8VfWmPJb2szxhTMM8zhzVPB0lxTzrNbE8DxbGPHjxuzx3das8J6GzPPrbxjyVOto8G/jrPPdN5jwzIto8SrYIPaIABj0QaeA8L/nTPCV+zDxFEeE8bxP9PHTsAD3bM/U8kD3bPFtJyDx4RLs8QBqvPK7NtTw7+eI8OCXpPE2KgjwJ6IU8125wPGhFSjzwXVo8GfRAPRDXBT4+Ekc+hdVSPt2aPj69Bi0+6TokPjHbKD7aDSw+A2QhPogMIj4nAjI+lBYjPpQnKj7HzEA+lf4sPlsNGD743yY+wFQwPpKrPz6dQCo+XGQxPodSPz4n0BQ+QwQjPt5HGz7/DBE+q7cPPpo3Hj5YlzQ+OU0oPqrwHD6uxBw+MfgkPkYNMj7mEDo+zLRJPhRVNj56KTs+KMNWPrViYj7tP04+xiEoPk6HEj7CSzE+apQePoUVET5OU0Q+tfpVPrSwJj4MnRA+GxEFPkgRET4GyB8+XSQePlcSIj7VFx8+TvQZPhrUHz6Vrks+HnZYPoTmNz7nAz4+dVM9Pkr9Jj6Lzhk+A3oEPhhLHD5yHyU+seglPloEFz6WZY49nsXAPN9BZDxdzoU8VouPPPM5qzzxZsk8BeG8PAAVvTyxoco8vBbEPAWFsTz89LU8Jsi/PHafvDx+/s48aBDQPALO1TySseM8ZhzgPOvy1TyYV8083fLFPNNBzzxRxeY8aTD6PCOvBT24Jws9gN0QPaEQGD2p3B49C3YEPSiU4Dw7API8rSYGPY7cCT3HPAU9wOsHPXi8BT0kE/48AS8JPVZICT3AOAo90Q8WPXalKz3QcTE9m0sgPYkmFz30Gws9EqHzPL1X6zxwU+o88xwDPRdmID2lazA9IEYoPQQeHj3NmBw9UeMjPaO9Cz1rBgo9syUWPfcmFz1mhRo9pxwUPYA+Dj1kEwc9bYwXPSrzID2L9ho9qikmPbnvHT2Heho9kJMzPSCQOz29WC89kOc9Pac0OD10kjs96/45PbVVPj2LnyI9JpkRPVSAFT0NLCI9i2slPf0nMD1Mizg9mMYyPUzZJz2D+TU9y0RDPRzQTD1w+Tw9148qPaDuNj2/vDg9NTAfPTEnHD19Lxk9NCISPUR9FD00WSA9/EwvPdvyMT2Bh0497bY9PbSkLD05GRo9c0cNPe5cDz1pUxo9vagfPWjKID1Xpyk9y1YgPczZID0DCCY9bis7PYaWLz1EeSM93vQSPcJfET2iQhA9G2MJPa3yFz2hbyM9o8ItPYUWPj1yJzM9Je0kPf6kGD2cByU9rJM6PfpNOz26QEE9eBRFPdkkND3iCic9H2ERPcBcDT0PNwc9dZ4cPV5dKT0PGyU9WBMvPVFETj23mEg9iZMuPRinHj2z6hQ9reEXPaswLz0GoDs9Uz0zPeHdLj0rvhw9i6cPPW6kBT0cuwo9s8SHPUhcjD18eHk9+IlpPUjTez2b3oc9Q+WDPWGXhT2F1IU9rgCGPckaiT0haXU92LRcPY8qfT3td5g9vUqWPU94gT3PgYg9zVORPUdpmT3Uj6c9mkeqPSQelT0cGIc9sBaCPabgbj3kiHA9Nq99PV5Fij1LI4s9BQJsPUIacD3py4c97dufPVkOpD2ihpA99S2GPeBLfz0/uY09tmyXPZGFkT08SZY9WSKZPZI1fj34X2w9LkFsPVGkbz0Urmc9YGloPQYzej2oP3A9GXxvPb71bD2B9HE9FIdjPbkfYj2K4Gk930x6PWSHZD1hK1s9AolhPbNpcD0rqIQ9GMaRPU9gkz1wo3g9KYRrPakZWD3Vq009nrZOPR9YZD3BYnA9zrqAPchNiD2WkYg9l6yJPQAjgz2Q+YQ9j+iRPd19pz0Pzqg9SHSfPVHglT1umYs9axWDPRgKiz3Gppc9AQehPbKglj16Oo096auDPfz5gT2lO4c9XJWXPRRIoD2qfJc94BGXPdn3kD3wyJE95xyaPXbNjj3/y449uKCKPYbyjT31Y5g9vL2OPb7YhT0qvJM9Jg+APSgfhT1YvYw9QpCQPcq7jj1igIo9Lf6OPRt4lz3A7ZQ9ifmgPW07pT3OLJo9n+ubPUNZoD2dLI89K16VPaRAmj31B5M9a+imPaSonz2wBZE9exGLPbALmD0HWZQ9dNmzPceYtD0gdLk9nfiiPRU2kz0TwJI9KDSUPRXQkT0xxZc9Q/qPPcLKjT13ppo9KhuYPYNSoz3OdZM9ULaNPZhAhz0XHYw9Pm2XPeDfkT2TAJA9xUmRPedfmj2JP6s9Pt2tPbfMrz2rM5Y9zXiOPQHnkz1PgYY9XC6LPSYghD17i5U9uOKnPQ+zsD2AIag9GUuQPcbRiD1MqIo9uUaaPUcQmz3UmJs9rKaTPcC1nj1fAKY9WSyhPRSklj0z7Z89CHGiPfk/oT2ve5U9l+aePYS9pD0NwaU9oeO3PaVjvT0+gbQ9QHylPa3ynT3HHZc9Z1+ePYeJoj3WbKg90NChPQWprj35cKk9flSaPQU3nT2QZKY989qfPeMtqz1T96o9fOCyPX4RsT0uyq49f8i5PRSSwT3W7K49hp6jPXdZkz3g/ZQ9t/+SPcmiiT3Uoo09WpuKPXtCmT0DHqE9UIWnPXe4oD3DlaM9f+WXPROmmz0BU509GmaiPRiylD2jg5c9L5uZPdH+oT2rxqg9kZGsPcRvqj1ekKA96M2qPa+epT3X9pA9RWqGPSqDgj191YU9rOmFPTGggz0+R4o9pU+QPXmfjz27P4c9aXJ6PabBhj181os9Oyt+PWLsgz1FtY89ZvqPPZBTmz3cnZ49MnyqPf+fnj2oD489xNqKPdcykD32Apc9Ws+hPRMekz16oX0966N6PTlfij0DV4o9rECOPUkSkD2VXYg9xNGFPXqkbD1cvH49NHKWPZL1mD0nlo09cEWAPWG5gD3awn49jPKKPUf7kD3SCJs9zdGkPWqHoj1f4409VueKPYVyhz3NMYo9a9iMPR/JkT3lwK09qX2rPaefmT0ZAKI9QCigPf6Uhj27eXo9L5J5PdjojD2n6Yw9NPF9PTg4Yj3geWU959uBPbWulT3B2JA9202ZPcONjT2zFo09/ZGUPYDokz1RiIE9GiWAPTm5gz2ayIM9MPCBPXoUgD3h9Xg9d0eAPVxniD0KdY09lfGLPfmkkj3b2IE9M+JiPSbSVD2hnzw9tgssPV1hGj0UdRk9cyAePRwUHz0R+CQ9itkXPWu7Fz3gvRg9QRgVPVndDT251w09mqgXPeD2Dj0C3Q49BCwbPQekFT1pNg49QLEKPdIQEz0/bxU9PlUVPY4ZGz3Ophs9DQEePcEzFj05QxU9zuASPSMo9TwOFMQ8uF+sPEUIpTwXZac8zta0PNqbujx4XrU8guy5PIDMoDwq8JM8dkqIPKtckzxaKJ48nVmoPDd9pzyCJKk8FU2/PP50rzyLMLY8TxXFPH1bvTx3O8M8BSnPPEDt2TyEgNQ8OQrkPNxV6jwx8ss8BU/TPBosxzxt58089HnVPJ/T9TwV9ek8Bdb4PAM41Dxy7cg8n+y1PIdmrzw9e7U8dSbDPOm3yDw3NsM80JTJPCdC5DwsPvQ8AcIAPQ/OAD1Lh+I8XRTcPHWM3jzQ69U8VADcPPxTyzx1SbU8LLOyPMFbtTzt2sI8IvOyPIGgojzIyq88sXqhPAklijy6r5Y8uyOmPBCepDymjsM8oX/MPN0XvjwdccM82bCvPHPgnjyxXrc8MLnXPOQZ7zwGZAE9AZH7PHGJ8DxrrAY90jvwPFpa2Dw4mug8GnnlPKUg3zwvEwM9lAEMPYA2/zxKlfI8lxjPPCD6oTyG77s8+lMNPQGUGT2akIM95ZqHPf0ilDyLs1c8EFCHPMZsBD2xDJc96/4hPqEgQT4Gv0Q+o9Y3PrlpJT6jayY+ZXIqPv6dHj60rDE+o/pCPjYNMT6XhTY+9F4ePjWVGj6r+zA+LcgcPhrDJT5Drjw+aRlDPtrjIz5IZRk+INssPpcCIj5SWiM+iqY8PngDGj4JZxk+xJ8kPn89KT7twSo+nqArPurDHj56iyo+b+AvPiiULz5v1zA+dxkuPtrFHj68Yy0+Lt4tPnA3Mj6knBU+xeDCPaLHbz3gX1A9ISemPaKoAj7TiwI/YE4FP8z5Ij7gaFk9tC5sPaDmwz3Gdwo+cqAJPv67Nj6o11Y+OHZKPq61LT63ljQ+bygWPr63ID7xkA8++BYOPtE4CD6VI3A9iLOhPH9iyzzcMSY9QYNqPQcjLT3BSKY8XQ2VPGDlozzVv6s8LAuqPFisuDxZ5cA8lxLIPH9wzDzfOds8o/fEPMOaujwXpLY8tve6POXhvzybzM88P9rqPLP54DyYuc08zRbFPIymyDxIxM08zzXMPCdjzzw0rOg8ObrwPDHO9DzURQ491UknPZ4HKT3oWxo9rMP6PIra3Dy6TPk8RtUFPShK8zxcZ+A8E7rsPC9+9TxbKAk9FeMhPdPgDz3q8RU9qfAfPSgXIj2mORw9Zs0cPdNCDz2XlPg8i7r7PDsvAT1amAY9jGgcPac6Hz34CxQ9UOIVPW8ZIj3hwic9ccEhPeyrFj0VYBU9L1wePRenGD3IlhQ9U6IiPdzWJD1A+RY9GZwOPTGyED2QgRk9vBktPXxyLz1+Q0U9Vz5BPYb4Oz1Z+zA9/FsrPah9HD2HtiI9tmMuPfX4Iz0uHyU9jm8lPeTXFD0jrBo9ZD8nPbOAHT1N0Sg9T8s1PXCWLj1fADA99TQUPRYUDj0GsBQ9n6MiPVGtOj3FxVM9m31FPacvIj3irxA9NccMPeJoET1I0Qg9xN0ZPStrQz3A8jI9Ip4cPS/NET0Fgg89r4cPPTJAET2Ozg890mIoPZywMD1nvjc92O42Peo9Qz2uLzc9G40aPXQxFj0LMSM90GwbPT6ZDT1CPA49OkYUPbHpLj2xiig9ZCAzPYLXRz0WAzU9tTY6PTbqNz39iCU9UaoxPbjAMT1ujSo9o0UmPYwDIT3xIBw9AnEcPcxuET0Qlxo98nQkPUM8Lj3rRTU9qtUuPevlLT1gUjw9HeU6PQyvJj2Nnh89hDwyPaI9Jj0Ahg09pEQdPcN/Kj1MfiA95YIZPeqABD1ZQQQ9Hgt/PeFrdj1xYX09t9aAPR3thz0urYs9uFyFPUdEgz2+eIM9Np+BPapDhD3bt3Y9tspvPetzbz1Un3E9MNKDPegNfj0uY4s9qJmoPb5Hmj0cao09izeHPRBJhT1F2XY9MQBrPfKpZD0W9mk9J7F1PVHpgz0tqoA9WAB3PZDKgT1oQJE9E4iOPT9Zej0lvXw9a3eMPX9Ljj07A549yqmfPZTHkD3iLYs9LbpwPZAhXz3/w1o9JhhuPcebhj0NcIg9QJGEPc1Gbj1/0E89UOFYPb5Hdz2kcX49qYF/PbOacD1OkG49h+FgPaOtXj3e0209gex9PfFcez0Bgpk9WpuRPQTXbD0Jv0c9RuhFPUGnVz01W2c9El1uPZQ/fz3JLYo9aVWHPYTwhD1AyIU9yl+HPW+liD1oH4c98ACFPZnLij2YbpI9glSKPUDThz0T6I89/K+MPe1rjj0d+ok9sYqDPdlvhT1eZ4Q9/hSOPTbCmj1woKA9qaGrPfrHoD0LGqY9HYGhPSk0lD25YpY9wzaJPUx/hD2T4YU9L6CNPc+chD3Mn3g9m5iHPRe1kj0TjIw9VTeVPbKeiD2aJ4I9jKOZPd3glj0xkps91ZGiPSCDoT3PEJc9QWqRPbxGlT2ae5E96IiXPYxKiD3IaX89WiJyPU/bgz2tcY09MH+UPR6jhz2kz3w9/R6NPWKYmD3u05k9Q2aePUuArz3IxLw9NI6oPWhFoT1J6oU9SFaUPTR9mT18U489m8yMPWwflD2GS6I9VbSjPfJ7lT03DqE90fyUPYYwhz2V9oY9yluQPVUMpD0SN509ONSXPVcRoz1q7LQ9oj61PeFtsD1vpZs9dBqIPSf9hj3z8YY91aeIPQEFjz23fqM9YfKvPVP1sD3UV6I9916aPfZiiz0egaE9mx6tPRv+qj2sorY95zCVPSMNlz3GIaQ9QX2qPZhpqT0H7Kg9PlCpPbjDpD0M5qc9vme3PbbSsz2CfLw9Vne1PRQYnj2rdY092ACRPXO1kD1Uf4Y942mUPeRfqT0F06E9HtGiPWAIqT0AEaQ9NeejPaRBrT3/R7c9izqnPUTzrT0wdqw9h1SuPUjgqj3soLI98JeePUGamT17ypg9GpCRPXrahz0yNZE9HUORPUVLlT2u0Js90QWoPfHypz2lrKQ9iMenPWDRlz138JM9YXOPPdPykT0CyJk9hK2WPZ9SmT3Lepo931+YPe5plj1QUaA9uIWfPSFsqT1sm5g9YXaHPSNoiD1MbYo9MEmSPfhzlT2u2YY9i/WVPbQakD0okI89SUKMPaPIiz1LcpE9Ix2QPfxCjj14WI89gHZ9PU//eD0hE389cR2QPQBumj3eqac9gTWhPdtEhj0qCHs9dhKCPW7okT0StJQ9ybGePaXilj19PZM9c9+IPZ4Hfj2dWoY9w1WUPRgsiD2o/XQ9MAxkPQdPbz2LUHg9p3V/PTPncz2FKF89wQJ3PVKFij3DnJE9PgmTPfj0kD2dyI49JDaVPeXnlz2F3qY9bo2gPeyolz2FR5E9x1yVPY87pT06ta09qyuoPabSnD0XtZE9rQaIPZx6gD1lOYM90iCBPU0khD2Af4I9FaWAPWKScj1mYH89JUCNPTUtmz2yb5k93jWOPfP9pT36x6w9S8idPfcpiT2yLYU9MhSHPXOChz21FYI9nt17PWhWfD3udG49vyRkPfqWej3nOoQ90/6OPcMQiT2iSnI9bWRmPX9/Sz2lzCM9wVAUPfd3IT0TzRE96HYVPSM5IT0WUSs9XiEuPQ+UKT0btBM9h0oQPf5EDT2NeSM9iIAhPU8PGT3NQx89lAsPPRxOBj3c8w09MvYGPeglDz2djxo9zycnPazJVD3GJUM96qMCPQly4TwrXOE87OfpPJmpuzzP47882pbbPLNNyzwc78M8BqLHPDKyyTyvNKU8An6MPGFQnjydT6o8ZhujPO6lmDzAJqE8PoacPE9XnzxoyY88mOClPHcTtjz1dsM8txzMPL4V1zyjo9k8In3jPFsV3Tx2/dI8wSztPN7o3TywnNY8Ic7WPM6gyjzCEOE8kbYCPc09BD0iN+o8JyzvPFE1/TwrHOY8lL3GPEqgwzxmWMw8iY7YPA662DxJWN88VBXjPGDE7TyfbfQ8TdYGPR9V2jxqBc48Y0vOPC/72DyvOdM81xzRPDup+TyjKuo8nfXsPGPN2zz3+b48H+a5PJTr0Dza4L08P/2fPAOIljw6p6A8i36pPDKEsTzm9rs8CNLFPEKcsTyGaak8gbi3PKGfyTz9Fug8W/LjPGfB7zyxRwY9Ii7jPNVP1jzGKdk8g4LhPLST6zzkmfA8W0oDPVyHBz3WLwE9sRL9PEdh6TyHeMA8VGmvPCjysjzr5Bs9HD54PfQNhD3Wd5890NSWPToHrT104ro9hGcAPn92ND5H4DQ++OVCPo8eQD6n9i4+hoAhPl6uGz4uUjA+1vwxPo08Ej4FrzM+Dx43PoJYJD6sjSk+Gao0Ps4LLT6trBg+LxgrPh/RMT7BZDw+oqMrPoPDLz5FBSY+HngnPmNNGz6iPxo+1jIkPqZFJD4/ABY+a54bPpCOIT539io+lr0oPvMVHj7k1v09a3wCPk3cEj6+iCg+VcA1PqzxKz6VxCw+TX07Pl04MT68yNA9D8EKPfn8UTwMdkI833pQPKegZjwalck8sx20PHo1lDx+H4c8hkaMPI1IEj2DXEo94lVTPVeCIT5f6Zo+PvKFPjylcT561Dw+XRgDPiBwAT5asWU9vp88PTgSJj1FB7I8Yha1PFHksDz7XLQ8n7WsPG7BqTwC9qo8GOulPG+3oTxdIZM8R4OfPL1rrzwssa88y129PPLgwjzuhMM8Z5nQPPHC4TxjT+480F7rPP+71TyCEdg8e5fePGgF0TxHutE8x9jVPJtWyzwDtNk8eYXwPC3c8TzOaPg8DEkFPUzGDj0p2hE9lKQjPXNRHD0mWxs9g0QBPVH42jz60NQ8prLaPGlV7TyiQOE8pJ/jPGtM+DyIIAU93I8KPUzQAT0LTAM98uQGPaAYFT1LECI9VXIaPaWL+Dy1gPw8nlUUPe/QHD0PICg9L7MmPeC1Hj3+jBA9Ph0XPRPUDj0jMxk9Cl8XPcUIDz2wbxE9qO8ZPQyFIz0j5Bc97hAWPUfBIT2jcyc97yMiPdP8Hj39FR09yNAuPYvxLD3tKCo9qK4tPcFdKT1nWCo9IMciPY9ZGz0BhRM9imYbPfW8GT0j3zM9UoAuPXO5FT0/OBE9kY0PPTDmDz3RRhs9i4QnPXphLD27zSE9F6IXPbwEHD2XSi49NcQ/PQYUOz32ZT49hUpDPeG7Kz2iFxs94k0WPUXhFD1CZBA9cUYKPc8EBj0ZeQs9FSkWPcC+Hz315iE9eY4VPQgMGz0kMDE90s9WPer5UD3rDjc9/kosPd2JLD0w/CQ9nU0fPe0BIz1lNR89Lx4ZPbydGD3P8yQ9Y20uPZTuQD2H9Tg9gRgkPc2UHz3AVSQ9p7kyPXOaPz3OTD09h1IuPbPEIj3tXTI92EEvPZtGHz3mxh89m48ZPcn1FD04RRo9FDImPaWyIz0Zhi49vIchPUyyIj31oS89yIUwPZJVHz1EFQU9FlkDPYobCz3lBAI9HjUIPWk+JT3EGCM9M5sOPaOOAj2huvk8HZZ7PWhBgz3Bcok9sOSYPa0fiD20lIc9TsKBPTYIcz0bmX891HKCPaWtaD0Fm3Q9ZHmAPdh/iD0i0Y09aKuYPTNTlz0+DJc9THuUPakagT3UPl89Otp0Pfs1gj2g8YY9hFB2PYC9dT2d02099yaDPfJBhz3Gc4E9RH5/PYunbT25JWo9ahRpPZVsfT1vGoQ9KE6NPYTplj2ziqI9h2mMPZwGhD0zOnc9exBmPYnfXz0KIVU9GHV+PadQij3325Q9GYlqPadWQT0Gq0A9Ok5cPbKvdj3j+389g+ZmPXU4YT2y2nk9L456PSrBgD2aoX09oOaaPQZilD0dw4I9LGqBPUP+Xj2o7V49PJtbPShvZD00JXQ9NY2APYqlfz0Gx4U9txB7PVxKZj3S1m09lD93PZTHfj3H1YA91fWAPZGxdT20Mns9GVOAPcaPdD3SZXQ9sF1tPfCpeT33mow9b4mSPU8GnT218ZI9nJWQPbTEjD0YtZQ9DCiUPXfNnT1FlqE9aOCGPXnbfj31qos9TJaMPfjSiT0nU4M9KuGMPU99fz14n3M98n2CPUV/iD1vB4k9rTSOPeNZkT08gJM9+GebPZs3mj2wQ589g1KYPU4VqD2+mJw9jh6SPd9ymj1nvpY9OamRPQUboj1zU5w90NiYPU4AlD2yR489cJGNPSJdhz2qk4Q9PdCVPasepz1REKA9CYupPTLppz2nwZs9p6WUPTtwiD3yLIU9unKdPVa5rj3UWKE9Or2dPUQlqj20fLQ9yUquPR9/oT04yZw9RrmPPZpefz3EbY49YK+YPVt8qD3SwKI9YQ6lPaPvrT3V2Js9pBirPVmAvD31E7w9h/SfPXMYlj0zFZc9PsOKPf4llz2GTKc94oesPfu3pD3TLqI950aYPfG4mz3jt6A9ahqjPVbcmD2kt509q8KUPRgumD3y0aM9M1SpPSajrT00Z689lVGoPf7goz3g4p09zKmoPRxAoj21sJg9xnaOPSvqjD1Y84o91RagPf0vqT3kaJ09PFOsPQbouT2lArQ9riKpPVKBoD0pAaE9yzipPYuLnz1M5LA9mpysPWzYpz0a4Z49BsedPUodmz3kYpY9iDqePebDqT2ISLE9rrehPV+loD1vnKU9+bmoPWploD2MSJI9F1+UPY05hz2oWpQ95BWUPUHLnD2HEJg9ymuFPcsMhD14+HQ9JduCPfMAij3xqY09wjyOPZu4jz3Dro897cCTPYmHmz3L0o89f2GDPX4+iD3DUIs9SFF+PddThT2dw4M9lFmPPQSCgj2dQn89jbaUPZvvjz10JpU9u+GHPfDagT1PII09e82RParPhz3vM349bPKBPSbMjz3Gd4k9tm12PfhhbD3LT2I9irpyPdDrgD0fxo09vYKKPdmTiD2/6ow9e32ePRKzmj1ruo49CayOPcVWhz2CS4k9vT+KPa/0gD1eeoc9OFl8Pd59cT3Z9XU9GKyCPZWKej0vZ4s9ZEKOPdpMkz3RG5I9ZLegPSr6qj3jGaI9Lu2fPanJlT2eSYs9JE+aPbwDqD2I+JU9uxSUPTMNhj0PYoQ9PViAPchjej11DnQ9Vp19PZYFgz3h14U9AKiIPTp/hz0NYow9E4KFPbajgT2rWoU9ukiDPUlOjj13ZYo9xwSHPebDiD3T8Is9K3KCPZbwgD3UlHs9UouBPZDrYz3gKFU9sRtbPfe9aD0wv3I9sGp3PdVmdj2+O3M90KJMPTDXMD0RaSQ9+rwhPZkmLT3ATSY9FEYiPcGlMT2f0EE9AcQ1Pf63ID1xAhg9yJkKPSmxCz3Uvwo9TFYePXQAHj11EBU91qsRPYUzEz2MDy8983MwPRtGID2Jvhg9V8whPVJ9ET2rUwU9shPNPAVNxDzIYb485YeqPCIaqDwXHbs8PhjYPD5vxjzxQL88JHy3PCtztDzIcqY858OhPAySoDxA8LY8tvuxPDrrojw9tps8SBqlPMu2lzzBxJU8UdqxPBEUzjxZAbw8WIuvPPajsjxittE8Yv8APbit7TxzM908nXngPIUeyzyAUPU8Noj7POHyxDwF6NY85kj/PNmCAD35GgA9po35PIBn+TxaovA8X47jPI6+2TzXfeA8YoLpPM/2AD2tBuw8XBjzPIJyBj3wLAU9Snz3PDrIzzyplM080h/fPO31xDzez9c8xYTSPPYj5Dz+MeY8pgcGPQ9wBD0KPdg81DXEPO61wjyOd648y3ekPO0Stzw7P7o8GizRPEhHujxLm6U8LOmtPG8hvTzaS688F1ixPIsG0Dz72N485cTWPNEv1jzo3tI8QNrVPKFv4Dxftf0863gGPRsE+Dytkuk8epP1PEsY9zzIWfg8PSXyPLDK2zwvb8g80o/JPEj/vzw4T9Y8eTbqPCN1FT2npXo9BYr/PWfLcj6blFk+5RczPrstLj6IhR0+wq0kPvkXGz6X+Bg+4F0lPpkhKT4oSSc+SeIjPmj2MT4xTzQ+rbApPuEsJT618So+IVsnPtO4JT5HtRw+n8ozPq1PMz4GAEc+NlIjPqMgJT5/mkE+xT8fPnjBGj76TyM+X/koPorlGz4xQSA+nGQsPk/NLj4g7Sw+OyskPrY9GT77KhI+bdYRPo0NEz7rEyo+tUE6PsIKGj4PDw8+VAUhPmWlwT03vGk8pnR0PG6gejzcSFg8HoRZPElgcDzyCns8akaBPNVWdjwk/oY86A+KPGHxjDwNjc88TnrfPG4R1jz4Awg9H09aPbJKvD0/KB09wQ3sPIFd4zzgeqU8gt6xPBEpvjxb1b48gMi/PHkMuDxB0LQ826zJPGglxTzRQ7Y82XTAPCOAzTw2c7c8VNa3PJPtqzzP3ak8iFK5PCJs0jyUOd48McXcPP1G5Tz3fvo8hxv+PKRL6zyZzPI8EOXqPBcB4Dyge+g8dxvvPLW+7jysl+A8UvPmPPHMAT0AXQU9HpsGPSwsCz0KJA49RMcVPScTAz2HZfs8sF3hPIAX5jym3+48vu/yPI9jBz02EBI9h8AXPdDFFD27dwM99JH0PCDC9Dwm3Pw8238CPUnPCD3FbxU9qyUcPdUUDD15zAQ92tcKPYbuHT36GDg9MjA7PUmiFj2P9wM9eC75PO9M8Txg2P081t0CPY8oET3keRQ9D1QSPRAAEj0JlQ89jf8XPdHRMz0CwCo9foUhPbTwIz1YACE9VhUjPS9GHD115Ro9TagaPR+EET1C5Bc9XXcPPYTyDD0PkBg9XVEcPe3DJT2rni491UUaPVolHT1oFjA9374zPaayND0DbiY9UYwjPdDlCj3TwQ8924oaPTa5Hz1wTyc9YIc+PSZaTj22xjg9UKggPeOuFz1yWhs9rmETPV3BGD3XJw49olYLPY2n/TyIyf88digiPWRCPj1+80I9GQIoPWaqIT2Y5Ck95fwwPZrwJj1DeRw9p7gXPc+SFD3Rxxg9AqkqPbGBLj1w7yM9f4QmPQk1Jj17bTc9diQtPb1DJj2VkR89RMwiPUFhKT0XUjM9dH02PXakOz3hT0I9dLA7PeYKRD2bRlg9eZo4PSqgJj1QPiE9PswgPbrSJz0FvR09IJ8lPTjcKD1vyyM9MkcoPYrbmz3LXGk+MQrFPRD6Fz3z6BA9EwURPQgmCD1INu88yQ/8PLHXGj1KpCg9cUcQPTAgBT2AKwg9dyt9PRp1eT2oEos9KPKEPcZ7hT1hpYA9V0SIPY4Phj2CIXo9ysBxPamLgT0a2IE9Lg2HPZI5kD2174o9OZKOPcN+hD2lCoE9GzeCPQkgcD2A14c9CbmLPejrjz3BIpg94o2MPff3gj1TkYw98O2OPYkSez0m0XE9G/RvPQ9YgD0C0oI974t7PVhqeT3LTY49MJ2KPaOCkz3vKIM9Ki9mPUb/bT30Bnw9cIVwPRYdaT0TtoQ9YoKIPTPDhT24T4U9LmppPQ0HYD1ZN2Q9hK5vPVaFbz29Sm49D/dhPbrwaT1xKIU93RWNPTgDij2ixIg9fiWTPaDjbT2lQks9SMlTPf5fUj0GsVA9WZlyPUzhdz1v/XI9QMtdPe/IaT3Lq3c9YaBtPQl/XD3YXoU9UHiQPcbhlD3LDZQ9OE2WPaqFiz0aTII97Dt2PWCsXT2renc91KKOPfeXjz0dno89ceaIPXxoiz3H3og9AvWHPeupgT2wqYo9X86WPXeskz2NpJ09epmcPU5ckT16Bo09u/+OPfBemD0b+JY9ftWOPX00iD11e4E9gl+DPe1/jD1jlIs9KLCSPeq+jz1atZU9NyeYPWpJnz0/+Kc9RrOOPbiXjj3235c9tiOdPQv6lT2XxZc9R5WTPS7kkj3GbZk9b2KbPYEemz2CP4Y9W8uRPW4Gnj3T0po9p3qXPdO8qz2fOqU99d+NPeSwmj24B5M9dJ+LPUnIiD2sbo89KSKVPQxdlT2QfIM97jWMPXmFmD3aZpM9hgehPRHbnz2SvJ89nVqdPd7ImT0bzI89J0ORPRG1pz0+Y7E9bKCtPRCPqz2UY7g97yOwPSIxrj2yS6g94Y2UPYERlz2BspI9OxSPPbKdiz2u04s989CLPa+uiT1tS489ZYKQPeDzmz1h3pY90PiZPUh1lj1knKo94W2pPY9coD0HH6c9giSpPSW3pz34yqU92U6jPW16nT0174w9PtCQPXE7nT3os5w9T9WfPRWdoz1Hi549Y8SqPbB1rD0TZKs9Hcy4PQnbxT2FY7w9wHSrPUxnoj00k7E9mJCzPapcqD0UeZw9YSWRPYnrlD1I4o099HGaPTBdnz3oKqg9iP+dPSO/qz1x47k9aNezPdRbrj3BOac93S6hPaHbkj2rEoM9fFCFPbRDkj3Er5Y9srmdPRlFoz3MnIg9CP98PXBYaz3P+IQ9KvCPPVGIhT1HzIA9gdGHPXb3gz13yI0908icPcImlD09bJk9zNSIPTMaXD2g2mw9rY+NPRdkij2nfYE9v8h9Pc5imT06zo49gpmGPVfqkz21voc96pSBPaZzbz0HJ349beKHPRIJfD0SR289Gwd5PQOvbT1F+l49XR5iPUvoWT0bVGU9qNV4PaGxhz2e9Io9vd+NPfPQgz0Ktoo9Ts6XPddQlj0mCZY9DkqNPdyAiz3hAYI9SNZ9PdNddj39jm89W2R0PaOneD1jx4I9+TiBPXmSgT27DoU9BUqIPd3jlz3J/ZM98S2SPbi4ij2D5JE9kviJPeuvhj2Z74w9MAuUPcoTkT1R8oo9ki+MPe9ljz3Ax5I94HGMPRRVlD2RfJI9j96HPQyBij1MYpA9wpmPPfkLhz3YToI9LWCHPYV+iz2uKH89TOB6PVoOfD0Yh209vCF5Pfxdhz2MbI09z1mFPQbpjz1fXoY9+QF8PeqjWT1ySF09KfhwPb22fT2FbII93XeAPWQKaz1pIUs9TSIhPfXZHD0Lxxw9uq0hPcMsJD3swTk9t8RHPR4oPz1hIi09geYbPX1oET3Prxo9AfEkPfnTHz37bBg9FdANPX+TCT2stRE9NBsiPSXKIT2+FB890nIlPfD1Fz2d2A49BI7yPK3t2Dz8ReI8Wm3TPBBCuTwrp7Y8Nc+xPEXgwDye9Lo8I46mPKDZpzwZLKk84N6hPLmwnDzjzJ482sajPF1DmjwSm6g8WdqnPN93qjy056E8OlGfPNX6qTyvYrc8fLm9PAbAuDxmTr48nnzdPGEN9DyCSPA8SAX4PNEq7zwa1Ps8z0/7PCxs1zw4c9s8fRDfPO482DzmqvQ8qxYAPZb29Tw+iAk9MakAPZfl7Tzo+ew8nQQHPYSVBj3S0d08obTqPLIy5jzGW+c85kvWPCYpzTzW8ts8lgHXPOjnzjzbxcc8D+LTPOd10TwpBeg883/NPLCLyDxnWeY8tf8CPTDz9zxSWtM8uY/IPHtcuzy4nKY8FGi6PCTtzTzuy8Y8Ya+wPMF0nzwst6Y85hOvPPs9yzw0trs8YO3CPCzGyTz5F+E8ltTuPK4Q5zwCoPE8Yb7lPLpC8DyAHgE9/HMEPfmdBT0wUfk8lFn4PFNV3DwVmwA9jHYAPVOP3zyilOA8vfPhPDj50jyQK8A8sXvVPKZdmz13Gjs+6BpEPlrSLz5suTI+BbU4Pk6NNz7ssic+vfooPjCDJj7K3R4+DiglPtFnFj6IwRY+vZE4PpXpMT6FhBw+/MA0PtX7Pz7eyyo+KOEtPoZVGD7nohw+nYQoPgcdID4/CSw+BFAtPpt4Jj6EgSk+++gfPjU3DD4Tjgo+9JASPntXFj7lIi8+Yfk+PjpdJD52Mw8++bkMPmY0CD4cYA4+3ywMPod4Cz7fIAo+9KEMPqTJEz7ycw4+pXrSPe4lLD1uEfg86Qn+PMj0CD0xqy49cF0ePVyJHD1/SyQ9YaQNPVrk9jyEUe48DoLtPGjISz06SA0+yRwNPpXS/j1oH7491euaPIS5UDyJQpk8ecaxPDbCvTxZC8A8Ik+8PALIqDy6Ras8v9q3PBLevjzSark8jAW5PBkTtzzLB7Y8MAnOPLb03Tw9huI884rLPPk4uTwDx7c8HzzBPMqeyjxMhNA859HMPKr+yzz3UtM8qp7IPAClzzwiwvE8h7IFPS+RAj2wtu88BjXwPGNA/zxImQA9v1v6PBPAAT1cJAs9bCAXPaOdFj3lTg49Fv0IPQxG9jw1x/E8aB/3PH+z/zxd0QI9egIGPauHGz3N4C89lPw5PWDzIT2o8QY9Cj0BPdOYDT028Qs9LqsHPYapGj0FPiI9AREQPfUxBj0NPhM9N48ePVARID0Afh09akYRPQBiCz1oQAk9upwPPUacCT0t6g494QsRPVShDz3AIBU9KUcPPXrbDT1XcRM9rWIfPQtnLD08GyI9p2oWPXWvGD0TDRQ9dR4NPYHpDz1afQ09hK0JPYprDT0uWQs957AdPXyCKD2IrRg9qQYZPZHJIj0JmyU9mfIYPVnFMT0Qf0M97ao2PbkzKT16VSk9vYkxPcW8Jj34PR092UwaPeArEz1kRBc9MrovPT6KOz15vSI9UKEVPZihGD2w8ig9RCMUPSNgEj0n7yU9Q/wuPZNUEz35egk9o+EYPX7HPD0d7kM9Qus9PSb0ID1vpBw9xgYcPSHnID1kyh89W58YPSiDDj3MHxU9fMogPYVMLT1XaSs9nzYhPWXSHz0JUSo9wBI4PWb2Mz1wdjc9d6JBPYdmQz2nUTk9xaA2PSHATD0DOVc9mYFWPUhURz1E9kk9Ggw8PUfsJT15PSI9YKQaPUAHIz0p3h49WdwiPVEOEz2KRBg9qpkrPZ/4yD7iu/Q+CMnmPfLxHj2AAxo9W4AVPcZuDz1JfQw9t/gKPeZ5BD2y/vw8ywPdPLMP8TyXuwU9rl2BPcGIhz36Iow9rVOAPXIygj06P4I9xNd+PZVdbj3g1Xk9QR6CPbl9bT0cRIQ9ciyLPf2UgT28VmQ9MAVzPVDOcz0Ldm49za5sPWKkhT2QsYY9NAKMPV1Ciz13mo49BD6LPRmoiz1akIY9vG6CPdVriT2nQIc9ps2CPYwgej2dgGQ9DuBrPVsbgj3aoXc9edNtPdCtez1IyYk9EpN9PV3Dgz3FG409V3aQPRDmhj2/9YI9hippPS0fXj3aEYM9G/OBPY+edj2n/Gw9a9BwPZW7cD1cBmw96PlpPTvyZT1jqXs9PiKKPbtSgj3+NX89AKuAPaS0Xz2vIks9PptdPYAGaz0+KHM9fqKDPervYj231Fs9Dyt1PaJngj3vSmg90QpkPUVtcT3lr4E9tDiNPbdtkz3Et5U9n62JPV/rij3vhn09w8KBPeTegT2YXXU98f93PTDacT2EV4I9xjh/PXrBZz3lT3w9+uSBPQEQjT26NY09Z5eOPQC2lD0too89nXuJPWbdjz3zgp497FerPcNnqj3Dfpg9maOAPbeGiD05XoM97kqBPdkGiz0ZjI49nkOSPQomlT0L8JI9XWiZPag1lT0Up449L36HPbhalj2ABaE9hbWjPWkFoz19W5s9W9GLPX3RiT2IJ5c9nNiQPRKXiT37GI89cUCYPSPCqD0UTJc9IXKJPXFvjD0VGJY9As+RPWzcoD0rcps9wpB6PUUJjj2MZ5g9h9WOPTntij0lsZA9xb2WPSTcoj0YPbE9ebGjPeiMij0mX449AbimPUznoT1rnqA9TQShPYFWrj1AyrE9qPCpPV/ImT1wNZ49pQenPdgOqj1/HJk9xcKRPVwkkT2884s9Y1OIPT8EgD1YQmI9s/ZePQKaeD18uYI9sSeHPWrkeT2CI4M91gyWPdiGlz35eaA9oq2kPWJlmD1TZaQ9p4ypPbHPoz2TFIk99jePPerDmj3BjJg9IemWPQTvlz2uxrA90bq0PR5srz0Qo6o9jF6hPeUwpT0ROrU9LuvEPVisvz0fHrE9kPCiPbIsjj3GgZM9gEGhPbrMoD0AXqE9PkaZPe5Jlj3SupY9jNqYPfo4lT3imKI9hsuiPf1mnj1476A95RKmPSyTpz1mZKA9QNONPT3slj3jVKM9hROaPctikT3ggJE9HZSRPaEvfj3J3mM9OSlsPZo5gz1fp4U964uEPeZhjD0y8Y09jL+CPerUlD3+B6w9XjWcPSEmgD0ZMnE9XVBrPdgcYT1EcXA9ifGMPf1WhT0eVoQ9qDWMPf/xkD27u3w9Kl2DPSVThT0ARIE9eZ13PVGTgj3xkoU905OAPVazcD2B5Fc9rHtkPVIdYj38FWk9iF1pPYzaVz2pLl4971F9PZVbjT2NXYc9X6WHPVAThD1QB4Y9RP6MPSrUfj0yK3g9T2F9Pc42hj2W8H0996Z5PU2jhT0PHYU989aAPcOsiz0TlZA9RECLPa6ahz2aEYg9UcuDPUo6iT0ANo09sZKPPfJtgD2yTIc9EEKRPet2mj3LCZY9hSyQPXS4kT15xo49Cz6nPXumlz1HaI49jm2OPbirkT3dSYE9VeiJPcdKpT2C3p49HfSDPSd+gT3Oy349+cRvPXihdj02CoU9XV+DParrhT2qyYE9qvB4PXVAfD1EH4A9e8F+Pflpdz1TnGY9dxxaPaN5VD34sVc91jR2PcqNiD0iPYM9m318PWHpYz0HSTk9rGAbPVdzHD2gcSk9NV03PTn8Mj3zeD49vCZAPdEfKj0P5BY9tygNPXSpBj3YEAc96EgJPS39ET0rrRg9aiAhPSdyEz2M8SA92HMrPYNyLj2NfS49bEggPcXlEj2lbAk90IMJPWb+Bz29CN88SrnOPB/dvDxBGLM8aziePOq9rTylhbY8Nd2hPCGKmjxNwMs8E6CxPN8UnzzxhbI8Me6rPLT9qzyetKc8SzOsPILlmzxZIqQ826moPHl6rTxT8Ls8rOXCPOTW0zzDhdo8mZHmPBs18zyvwvA8XtjrPDEo7TzCtfU8TSTrPIV68zwIA9w8Og7hPCFN8zxaPQU9GxMEPeSPAD1RcwI9sLUDPdMtCT2upww93L74PGrW/TzdZuU8QQDEPFPr2DzHFdE8ApHXPPGl3jwK5tE8uWLXPDuk3TyJ4tM8Wn3/PICr9jyOp+M806zUPH+22zz/keQ8TtTzPK/c7Txbc8o8oTWtPKjrvDwNXb48VnbNPCJvvDyaAbo8xbWvPC9Bojyf+bY8K07APMkzsDw1Rcc8rf/xPH236DyJMuE8zh3QPMISvzwxYMY8asfdPPHh7jwCOQE9OND7PA629jxmUfc8G7j4PPCl7TwZo+I8nlrQPIaWwzyzzdE8bNkEPcRf7Dw1p748v4X5PJPOpz3HwjQ+7mdXPkqOLD7ZQzI+HUQdPjuQIj4vdCg+bkgyPuNjLj5a/CA+7+kmPuclHT4IMhI+sTwNPhuTJD6Jqyk+Er0gPlXtJz7ZXi0+UEkxPqRrGT6L3CE+AjgwPs1AJT7shyM+/UYmPqvVFj4tghk+dFIVPvznHz4xzgQ+RhMYPkKaKz5p6Tc+DFYdPuSAFT6MchQ+n7gWPpTJGj7S7xY+pM0TPqovIj4TjRM+EUwIPlwq7T0wpK09e7abPaOGxjzloHE8drZ8PGMiYzyCDWY83Y1tPNl8gDy/XI88rZ+PPLDnoDzvntQ8/doEPcMtYz0CTSE+tbJIPkBFEj7ypVQ9RcLePApTrDwqZbI8YabBPI0PwTxuPbQ8iLitPAOGpTzCDJU8kI+YPChooTw0Sqo8A2SmPOnqrDwOa7k8YAK/PE2jyjz9Y9U89rnPPJhFsjzuAaA8pJymPHSSpjx1abE8WBrKPOfi2Dzus9M8IGHOPNDJ7Tzn7/c88vj9PPIO/zznhAE9DMj+PBu6BT14GgM92BICPcJNCD1xdgc9/UwKPXtXET0/9CI9UXMJPf+a3zxLHdo8aULfPAJI9Dw6KAc9IXIJPXtFFT1MCCI9Zq0lPSDYEj0QgCA9X8EkPWvQGj2ZXhQ9ansbPfW4Ij0R1Ro9gacbPcDhKD3sqCo91GoRPW6V+zwW4/Y8F9cKPc6eGz3BNiQ99XIiPcyoFj1oLBc9F9sePcbcFj2oIhw9Fp0aPXyCHD1h+hU9X8cYPVt0FT0DgAk9czcSPS4TGz02DBc9e+wWPWCAHT3MPxw9LtcfPbQnIz3gpCU9bW4jPdDxID3DsRk9PcYRPUidGj1zrRs9rGQcPfbKNT2AWSs9kXQePWsJKT1FnDw934VOPbZfLz3ccic9dOwYPQ2DDT2tEBY9Ej0gPRizGD1msiU91IwiPc3IIj1Mfyc99YgYPZhcFj0sfyA9bZ0qPX8mJz3fOiI9/eAfPUR6KT2B6y49SAwhPY0jHj1Z7hU9XAQYPShjEz2jtQ89ieoQPXlMFj2ILSk9NnEzPUapND0rSxw9KvEiPbyNOD1u5VA9LXBaPZfsYz3ILGg9aSJZPYz6TD0JdUY95RRGPQ2MSz17xEM9InxHPTFYQD24hTU9B8kqPc07Fz3TwxU9pjIZPRcgFj3H1BQ99xcUPdEhED0wBQ89F2kOPfjcJz0BMyw9UV0ePTPXEz2+rQ49YjkSPYLeDj1GCBY9HV4QPc4tAD3apv48R0/5PFbw8zyQB+c8OBtsPctAbD2yjGE9BwdUPT0deD3mFII9t7d4PQJQhT2qwn49ep15PRwudT2cR389vZx3PVmKdz0hcX09mImCPQshbT2Jt2g9Sih7PeyMjD2Os4o9wOaGPVMEgz0VVXg9HWl6PSZJgj0iRXc9C+RwPcqxYz2Q9XI9Gl6DPVrPcT1It3A9adt0PQLjbD3QX3o9GcGFPfFSgD3p2Y09RfqGPW4knT1saKY9xkuXPY1OhT2F22s9m7BnPWu1ez0z12M9K9VFPWxoUT3tg2E9ZFJiPSuPaj3RoGw9mYpsPaXKbT0g7Yc9bD6SPXMAiT2qenQ9bzpgPWuqST2K7Fw9rwpnPUKGbD2FD189rMJSPf6HXj19xW093AOFPVu3ij0OgYc9puuIPUjRgj26qYs9RviVPT9nlj1nUIY957iCPW89ij0iDIg9ggaEPT4egz20wXw9xcB6Par4hz3M5o89iWWNPWNwgD1CzHg9RuaPPZaqoj1IjaA9WmKZPfAZiz11r5A9u3KSPZskkT3iQaM9RpicPZX1iD02/Hk9Z9F/PfNshz2DToQ9PECLPRecgT1v54Q9FeyJPabllT2DnJQ9XXKRPdi7eD3yNYU97fWMPYdSmj2eE6M9Of+aPb8JjT2lJYM9WXmHPa4ekT0qnYg9bWOHPVoYlD3fSo49oOaWPe4jij3k/m09FpdvPZWmbz27dYQ9DlmLPWIChT0m6Is9CCh/PdeYhT1PwI89qW6WPfeajj1Unpg9a9iXPZgRmz1m8Ic9D+pxPfKZdD0+qHM9WQ1zPW92gD0G2IQ9PTaJPZ4hiT1BUpI9rQSSPY+OkD0KB5I9SV+TPZNcij0cmYQ9pKZ7PSmphz0WZok9y0GBPYCBhD36jYM9TliBPTeNhz3uq3U9BOdqPSoWeD2Rs4g9xt2PPdA/kj19EqA9hEKhPZoglD2LEos9HNWYPTADrD32L6A9vyuePVS9oz1wsqE9kLioPaiTqD2Z2qY9+dWbPSixnz3rTJo92jaWPTJxqz0dVrA9ukKuPejNlz3cYIo9IrOQPWnVlT1lD449UtaUPf0+lj36VZU9Q6mcPSM5rz0s/KA91disPQAdrT1nE589InGePRm2mT097qI9dzClPeD3qj3O+qs9iQ2qPZ6Ykz2zfJE9kDmBPQklfT2Pn349ONWHPdEDij1Mw4w94ciOPW0nmD16bZE9WmSEPWMnfj0mvIM9aSKJPZK5jT1Qh4Q9uH+APdAXbj3SNWY9EKhaPeVxbT3pYY89yYGKPVhajj1lTJM9KZSJPWjlgD1kjo89d3SJPcgUkT1OPIc9IJaJPUvAkT2+DYM9B6dmPRi2YT2V+3A9UnKSPY6glz2OrIk9ltWDPUKgfj3kDog9WriSPVT7hD0SpnQ9GaV4PfWucT2HqH09YqiEPZjajD2GVoc9rhaFPTy1gj06eng9aXp0PaGTiD0pvIk9AWR3PXuWgT38H3c9O62DPaJ9kz1qUpA9tSiLPUBGjz3ZJ4w9zOSWPbM9oj2OzZ89eDOWPTU1hz3nJ4Q95v6OPXgrjD04nIg9I6GGPV5Sdz1DtWU98vpxPcSihj3yhoY9YMCPPWExgj0KIX09M8N8PfJffj1Gyn49Z0iCPfFtgD1m1oA9TaOKPRWViz11TYE9ulyDPZUffT1AmFU9UJBQPYoSaT1pimY9KsRhPVvNcz3dVHw9SJKGPe25hD1kAoE94uBlPSMMSz3UpjY9Ph8mPaNcIT0JCSU9aeUxPaP2KT0kgic9nKsnPd9eEz1cEA89xWcWPfn8Ez3EQg49mJQQPf1qED0Wuhs9JbUcPX4uJD0ZBDw97S48PSHsQj1t/D49qP4NPXbzAj3jWvU8a3bxPPSi2Dw70r08TFitPHbdrjzDjLg8nf6lPFYYsTy2gb88T3mjPOCaoTyFPKU8nD+lPFxJozxG76Q8kHO9PGCJyzyO7708xvavPA0qnDz2aqM8EPWuPLmZpzwjS7A8qGLKPBpP+TyBUfY8vCcCPWiH2TzUbdc8YcQAPdApDD2Lt/U8SkAKPYkU6jwYZN08XyTwPAMY+zw+T/I8KTL/PByA9jxoKg09jfv4PCjl2zzw9ec8p1fmPO1K2jxo5cg8UiLKPGoC2zzNGdE8DjnXPBfn6Dxq3dE8J6PLPFsV6jyvOtQ80ZniPLTN7jzdRug8cJXXPJXKwTyb9sg8eW7HPDzwwTxg2ck86RPdPP7YxTxmOMI8iq+5PCdbvjyck8U82WKlPJrzpzyKnbA8Ldy8PCiZxDw379I8b/bZPDyZ1Dz1gdA8TtbLPDVlyjw2ftA8777cPP41+Tw7a/U8X2rgPE5Q8zxqIu080f/aPOCi0jy+m8A8GN7APGUsyjyCxcI80mkGPRFGEz0a5tg8lSrmPDTIXz3PvvI9S8wsPhckLD61lSg+hpo2PnFnIj63LiM+WK1BPlMyLT7rliA+zAQgPifEHj7GWxk+4bMSPhoLHT6oVx4++GITPnVlGz6XfCU+uv4bPhKQIj6fVB4+7+AtPszEHz6sJQg+4igKPsHjDT7OWg4+gWQbPpAzEz5K2hY+JKUcPp15HD4NFhM+L2MVPtpXFj5Qahk+yl4ZPnkfEz50dg8+qIwHPnb/CT6Z7Qs+diXMPbbjIz0NCtw8WZAFPUe7qjznx5E8owyFPCSqhDzs7YE89iiBPI++izxDDII8qeWFPH9+iDxpCI88i8GhPHhN8jzJ3BQ+ADj2PVRrDT3ZCsk80h/BPMrUpzwIy6w8jOG4PHEsqzzVBrM8ep+pPJjrqTxT66A8B6WjPPUyrzxWUMU8e6XTPB+n0zxdLd08L8vSPCY/vDxy3bU8aVyxPLwIoDy+96c8zbOtPOexqjyYgbk8AL3RPPOa5TxYbfU8JxbnPPg5yzzYj8I8G9TQPJL43TwcTPM8gCgBPcUSCD08Og09QT0DPTaR+Dx9p9k8SyHlPEvM8Tyfzd882yHnPFA93jzK1eg88fL/PJyZBD3ODwg9r1gEPbXwAT1QfAk9vwwOPdORCz2aBxo9iO8gPbSAFz0EThE9m/wdPYLAGT29sR49LI8oPX/9JD2oWxM9iQMLPbex9TxnUe48MoD9PLtPGz0UMB099J8ePVFvLD0QviY91t0bPUNEFz3W5Q89gCQQPaRaFT0k6wk9MiECPZkCAj1bPxU9jm8fPVcfID1pJyA9usYVPQPNFz3yrCQ9lJ8tPZHLNz0v5y09OB0oPVxsIT3Eqxk9FKcXPR/WGT1XMRQ9qscUPQ1RJz2A8zA9B6UzPcktND2TATM9M203PcDrLz2uOSE9Ba4ZPTO9Cz0+Cg09p1AWPenSJz1i/is9jcIRPaT8Cj12qRc9x9ghPa3fKz2+Mjs9XE08PSZgID29shg9xWIZPRZbJD3IbBI9l2IJPfOAET3uxws92zwNPS2lDT2l9g09bdESPcdkHT1DYCo9tzg9PY7DQD3GeTg9tpBAPYfQRj3pblg9xE1KPTLJRj0C/0I93E03PTMKKD2sgyM9/hU8PRo/Rz2lJTU90/QtPUY/HD2Lzhk9YfgmPfw+KT1r7xw9QqgkPdXgFz0upg49wZ8JPZG7AD0avwA9WO4LPcNuGD0FLh49Hc4ZPbSqKD1nlis9sbsePTcNEz2aWxY9ge4NPfwACD0L6gY9yMkEPV3n9jz31OM8SIVlPb6MUj1+rUQ9vilaPZgpcD3VA4A9EbBmPaVMgz2/HIU96d56PZrqbj0SCX09IEB9PTaXgz0pqJE9ieeAPcVFbT1/znA9Uid7PWD5gT0s6Yo9oFWAPX+Xgj2544A9gzd+PTWwcT1L8mo9kNB7PVGDdT0TFGo9gdhePTWHYj3nrYI9qr2PPX03hz20sIg9zUOHPV7lkT1pjIw9LeN/Pe8zhD3ZPoY9aceCPf4Yez0KImg9qTJiPYsXUD0Z/Ec9YldEPcFsXT0ZYns9VQhfPa50WT3NMlo9z2xnPdBygD0pFIo9s36SPY9bhj0PbW09NyZiPVdSVj1g32M92fRyPZcwdD0mmGA9Xx1TPdUMgj0Gm5A9apmRPSQrkT1Lcn89hvp0PQORbj0+7ng9XNVxPVJneT3LcHw9ZS6WPVCVpz1XJJI96oyDPc37gD0CMoI9bQ6CPXe2hz3vDZ49NLuTPQxlhz1tkIc95FuOPZWClD3T55s95lWTPQktlD2uZYw9RV2RPd30oz16LZw934eMPQHOjj1Z+o890EGPPf+3iD1ZhoM99YmEPV8fkD1pxpw9gW+xPZD5rj06CpQ967h4PeHZez381JA9YhKKPSUOhj2pfpY9S4KpPRg5mD2SKpE984SJPYpWlD0FIqA9UmWaPRhWmz2T3ZE9dbl+PcZzXD1S6m891nCBPe4igD13in89Hl2MPW5zkj3tDoc9M8GCPaq8lD0hf5Q9pemNPddujj2RTJM9kV+PPfKWfD00v1w9BUNpPXn4cD32AoA9w6eEPbOMhD0Qn4I97XeFPcefhj2VtHQ9rCVnPZkWbj3HZZM9rwudPesXjT3K9YY9urOZPeb9oT2PwJM97xGXPRzAlj0i45M9LVeRPRICij2NY4I9s7uCPVhkhD2dsos9NQaLPXK3jz3xO5Y9AEiPPTG6mD3wOJg9VaKePcIvmD0wqZg9bZydPXZGlj27R4o9iMaWPYgKnj0sO5E9wySOPaOrmz1IsKQ9asSPPRnxiz2gw4I9eBx/PaLOiD0JRo09Tf2RPUKQnD134p09NrOiPZgGqj2CkZg97uyhPdoLrz1+wqc9oLWpPTZUrT1vP6c96Z+jPbMuqT1MWaU9KcSvPRA6rD0705c98wKGPdBLgj2yZIE9NemDPaOLjj2JC6A9b8CgPZLAmT3lZZA9BnCHPR2kfz2/N3k9dUlxPTC6Yz31pGM9PkKJPQELeD1jRmM9XgxXPZW1VD0KaF09EThuPcWCgz2aaYw9aoONPUAtjz3K9JA9JYmLPURWhD165Y49iLahPfN0nz2CjIk9fs+HPdWVbj2DQmY9MXNlPe0GYT02Lok9C4aYPcWrhj1UjY0944CKPSwoiT2CDIo9yTV6PZeRbj3hGG098/NyPZoJhD1fmI89Wu2KPb2Kjj2JfZA9I1CIPaxHZD2Ldlw9xReIPd9Ejj3am4Y9BwCIPTHkhz1XaYk9enqOPQz1hj1lUIA9eQGAPba9gz3MS489YLSqPeHNmj3l+4k9G2OHPS6Tez2kvYo9ck6LPZS3cD1KIWg9cvd4Pd/9aD0Zimo9KgV4PXcfhz20E4I9iwSEPT9ieD0kbWo9opRzPb1ZgD0AEIE9pbJzPUgqhj1eNYo9yqqUPRcSkz1NSIs9W2J3PZguWT0y9Fc91W1bPYREYT10JHE9lStpPRZXXz3RLnI9iW6CPUh0dz1uEW89+iRuPabsWD1UcyA9Co4nPZYaLz05TiE9nXgbPYgTGT1DIRw9+kIgPfwvED3RyBM9N18bPd9bDT2zLhI98AsjPWh9Gj1Toxo9IW8pPfgmPD2B0S49Da0rPWLXHD2O4xI99ILzPKb22jxICOE8sLrdPPeZrTwZ87o8zzGkPNYMqDxkQrU8517JPIZ8vTxnBao8fsadPE1Tjzz0O5o8d82UPEO0ljy6RZ88qAi6PIn0oTyazq486WywPP5GqTz8Oqo8Exy8PPAAvDxjFrs8UqnhPKZOAj2e8/Q8ToLxPDHv7zyfPgI9auzpPCgX+DzOqes8wEECPcxc5Tw+8t48IU7rPHfy6zxsMto8ppL1PEOy8zyOaPk89VHiPNv83zxUO8s8nFLRPBtE1DwMm9M8EoTNPFllzTxNUMg87fjSPB+n6zwnQ/E89brpPP5X0zxz9bk8wXq1PGoNvzxY6sE8Kj+0PKGurTwt/8s8QJS+PIlHwTzLjdA8GLTMPHFP3jwoeMI8eoS1PHJzrjxUVbM8p4+kPOcWqzyvX7o815O/PFbMxjwQasU8AtOzPMwDzDzTKOA8zNjNPGFVzzyi8NY85Yf8PL/aCD2cvgQ93SwNPawl/zzpv+w8ElrnPHIe2jwBGK88DtLCPN/V2zwcWK08e46/PJhBDD3lOwQ9a43yPJrVCz1h9kY9F0aEPUxY1T3i5gw+9KkdPnmoOj6x+jE+jHNAPrLvLT4DdRc+uvDfPc6C0j0sg8w9glQgPtV0FT6FQTI+TysZPq6PKz5Xuzo+BTE2PhCCGz6T9SA+r4UjPvMsHz6urSQ+HbAhPriYET6CvAw+dsoSPrsEED4Y2xs+aFIXPnN/GT6WrRM+OZIaPuAhJj4V+RI+rP0JPnCnDz4Wlwc+sK4JPserGD4GTCg+1ZoXPkLGoz1MtYU8G1iOPK4bmDzL0548n5KZPDLfoTzU9Zk8hX6RPMmygTxBkm8899V/PI/0jjxZgZ08Q2ipPFkD4zy+aDc96K7dPAF+rzwxNLQ8nKGsPKwVnTz3IKA8mp6rPKM9sDy7iqM82v6vPGrbsTzgzLc8i0q8PPSDyzz7wtQ8KVrVPKmc0TwlnsI8JTi2PAwatTwW0Lg86GS6PKqowDx2wMM8G7zCPNKXzDxHUtA8Uk3iPK2J5TyIZ9s8XFzbPLVbzjy8zck8qqzZPDU34TzxUes8MDcFPRQNBT3fwvA89gnYPO6QzzxIVc88kMXjPJGNAD0gVuY8PqjaPKi+3TzLJQg9LsEVPS6LFD2WOBQ9g6IPPeLDBT2bwA49FksOPcuEDj0JRBE9fGIVPX6XET023fg8SkECPRbs/zx1zQY9mS8DPVuX+jxqnvE8t68CPSpH8jwqSek8wa0CPX/oDj0+hww93osKPcFmDT0wVAU9PR0JPS7mDT2vkgk9NB4KPXDaFD3AuQ09oqQDPQfX9DyLEug8o4cBPf3tET0zbgY9o5sJPSJHEj3WSx498asdPYRYFT2VgRU9m/cYPU+dFj0Itfs8HE4JPXH2Cz2LZfw8zU0WPSJzHT374xw9kvMqPc9gKT3pRx09TUQRPU1UET1cihI9oa8TPYteEj3N1xU9r6kdPRkBHz16iR89TcQaPc/+Iz290yM9W7glPVF6NT2m1CI9b08ZPbinHT19XSk9fn4hPeYNDz1DTQk9M1MLPU38Dj0kdQw9b1AQPQAMEz045Bo9InwoPc7GNT0BwDk9tAg2Pdn0Mj022CE9fnYnPaGyLT25OzY91e0/PaheMj1t2Rk9ogAXPQ1cGD018Ro9FfEjPXBdOD0XkTM9HhQsPVI2Ij2eDiU9cnM5PZfhID05bxA9PpUaPTP0Fz2Z+gs9L3sJPQk2DD2BzBM9sfonPY9BKD1VWB097qYZPTvfHT21LQ49UVYBPfSiCz2Mzxg9mtQWPWS0Bz1lZuo8CxDyPE6S4Dx4V948jgKIPXR3kD0URY09CsOKPW+ZeD3bIHc9DOF9PQwbkj29D4Y9ueh8PT0LeD3hR3Q9SlpyPexcbz1mXoU93/COPXPjdj3hdn09xcmNPZLYgj05pY89tMifPUtYhD1n+XY9mbN+Pak8ej1wtWI9T19oPYX2Zz2vrW09EsJwPYT6hD1YXZc9/LWVPV9Nkj1Hf4I92MqHPUxudz3PM409L/iIPS+tgz3ENXk9L5ZqPWIDXz32tkU9wH5BPZRvRT0e1l09oitTPUkDVj3K9Xg9W2F5PVvygz2qbH89BOF2PVOxaz0/LnM9iGuMPR71hz1cMGg9YYFmPd+Vdz3zhnk9Uo1kPcb4Xz18pHI9RSqHPQUYij0sR3498w9yPR1WiT2EKIg904aIPQRUgz21KII9vdFjPeJVVj1fdJA94SmfPd/vjj3nzok9dtCSPf5BmD3o05I9ZDeRPXq9hz0vV4Y9DqOMPcyXjz18tKA9UBqaPcRFkz1wBZo9DEKcPZDbkT1KS4s9W0iMPWI8jj3kU5Q9j1qpPWCllT2j0og9c0aFPQAPiD10X5Y9mQinPWdomj19uI09DMiSPWzXjD15SYI9va+GPYjimT0Xb6E9IQqmPWcNlz06yos9OmOPPSzPkT1lfIY9X/+GPTIWjD3MhYY96ISAPbi/gj2zsZQ9EHeSPXkQjD3uI5E9YTWVPUpHjz09zIk9+qeNPUq4jz0aJJk9pAOTPZ2clD0CKok9bYp+PTVjaj3W71w9GsBuPZSOfz02qng995+FPfSMhj3sdHc9k8h4PdsZcz1y3YE9r6yIPWjokT3XKIg9ysaJPRnqkT1K1ZY9b5KVPVsJnj0F9p89pEmgPaf9kT1lE5A9WP6IPbVXkz0JPI09rw1+PXfeiT1rb6k9el6sPXMBoD3om44995WEPUKNgD2ZbYc9q4eTPapjlz2L7pI94nKIPR9ygT2V8H89/BCMPRSFkD289pA9r4eZPXLCiT38T4U9fLCFPSLmfz1mHHs9aDF7Pa3LeD0GW4Y99VOWPQRKkD2Or5U9J72XPeJWlz3Z9p09luGoPX34mz3uZZM9P+KiPWPOoD3GKp49AJWhPZsZnT1o4KA9OlamPYuDmz1K8J09rNunPcFzkj1xe349V6RuPSJoZD2p7nU9SIaHPcz2kz2imZU9IqqZPTQPmj0vIow9Eh57Pb57dz0R6FI9x7FZPZalWD3LZFg95pJnPQS/dT14CGk9C3JXPUmaUT3hdmc9uOmDPQizjz0pbZ09FVqZPefunz2siak9W3KgPf/glj2cDYk9Z8eAPZBCYT2CkF09rl9XPTUoez3HPnw9Eup8PZ80lD3Fj6A9BruiPXMhkT1W1489+8d6PbB4gD10oYM9+m+BPafShT1QGZQ9qqKSPQXBiT1XoZM90OyZPTg6kT2U64c9E9GFPaZ8gT1Z0nY9AdGMPeb4kj0/45g9z1SoPbl2lD0kJHs9uHlcPVnlXz1wrnY9fth4Pe6iaj1mBlw9ZTVbPf4wYD1R8Wo948RqPaNmYz1lUFw9rsRpPUKlaT1b71o91aFmPW2bgD2rGoo9Qx93PdTDbD2Vxls91jpZPUIvbD1WH3Y9Oi+CPUQOgz3mf4Q9YqqIPbqGiD0dYJA9n+uQPWITiz3ZLn49d21rPc4ohT1gmIo9qeZ5Pe4scz1E4nA9o1xdPfUwUz1Snls9ZlhePequYz11H1I9NmJFPXnkKj0VXhY9gxwgPenBMT06phg99xMSPQAbIT3PZSo9AlckPTAdEj1enSI9swEaPRdpED3CWRw9wQUhPa6NJT3RLC49+BkzPRjzKj1RRBE965sQPVBPAz0O0f48gBL7PO7E6DwhmtE8wkvZPEwUqzyHI8I8InK6PCSOrTyhwrM8EqC7POsCsjxKyJ08RxOOPNLOlTzoZaw8WaiiPBDWmzwSdqo8WDilPMWsmzyB85880OuePO8trTzbbbg8VJm7PAB4tTzyaq88+RS5PL2e5TzO2OI8G9jZPDr46jxyBvw8XnP1PDUQ+TytA/E80mT8PGjR3zynnNo8cDbhPPnI7jxtP988KjXtPEh67Txn8eY8q7H4PJd/+TzA2Oo8sp7WPEDyyTxynss80KHaPNfA4Dzoh9s8TFPSPNpJvzx7sNI8eSDUPKi3yDwHgsg8JvvHPKWmxjyUiLo845SjPOyBnzxNNqA8hX6XPIs/uzzE8cU8X42+PCUcwDz5BrM8lwW9PBtjyTw7/rI8z2O2PM9N1Tz4AL08BDK/PJoBszy437o8+eG8PMpPxzxt7uM81M7iPG/d6Dw3WO086Wj5POStAz2GggI9pun6PHFM7zzkctE8es7GPK3mzjzGrs884lq5PCndDj1ufQE9AwoLPUA7MD3hlnw9BlCqPfXzPj2Go4o8/BCcPHjQpTzOzeY8uitjPQ7L9T0gRB4+FhsTPnBilD1NKwo9kxq1PJxSrjyTJtI8gCEUPSUDLD1uvno9B/2MPVEMDz6XPAI+ixywPb7Byj3igMg9b4nrPaoMDT58kRg+iTMTPvpw2j1nL7M9ZDODPejFbD1duVA9KC5HPcHfwD2vEhs+AZX1PX3M6T3FYfU9QX3GPSSSvD2aXbs9Gl+mPW6ahj3fU1U9yKI8PUpFCD2gJrw8ftjAPIlLujx2F7s83V+9PEqSsjzuiKM87z2iPLJomjwBgp889oG5PME/wTwMFrY8cyitPBaqsTz+mqU8YiShPMi/qDwv17M8k6W1PPbUqzwqLrs8R829PA4PtDxT5b48Qm68PPqYtjz3kcA8ju7VPFVl3TzjoNs8DvnDPIPkvTxFNLk8HBjBPD9FujydCLg8HpurPIzruzxlwco8Z0/SPI4g0zyJdfk8WwgDPd3X1Ty648A8unPFPMp56DyGNvM8RKUBPT2ZDD3wVAY9eFIAPZGX5jyrZds8VrbwPO7m+TxADwI9+zUJPRPUED3I8gw9i8AVPYgECj1g/w89C0MfPX6dFT3QaAI9MD70PJK+Bj1LwQI9PBX7PCRqGT0IQA49yWzgPPJSwjwa5NY8FkXsPIDc/DxMJAg9vSESPSZhDT2+9Q89Q10KPVxaDz3wdhc9qCwTPT9FCz01tAs9USACPbHH/TzJ+wM9D1sOPaIIGz0b6xU9DTkRPYuJBz3Avuk8HjTwPAwL/jzNywY90hkWPYnDEz2hwSA9A4oWPd6kBz3oFxc90xMLPVR5Dz0MiSY95bIkPWFJEj0vUQI9e14HPSwrDz1v0BU9RCEZPSzdDz1dWBc9r3QkPf69Fz2GEw49UvUYPQeIEz2fMRI9X2IQPfeXFz0lUCY98FUuPRKXJz09Bho9eE4LPW6RGj1RaB49beoVPWBeHT10iBo96lwrPbnuIj0Jcxk9IqEOPbzZBj0vHhQ9qXMhPXtMIj0jVxU9JCkEPdLnCj0e6xo943ggPe2CNj3T3j89Ts87PbiSJD0+UBU9oTATPRC4FD1a0x49yxEfPVmTEj0kARk9kEgoPce4KD3IgSk9bUcsPSPLLD2eQTE9OpMmPWMQFD3kUBQ9zggVPacdFT3Xrw89nTEUPaCNEz1LQRk9Qz8YPTf5Cz0sMxM9CgocPUypCz1JXAo9N14aPbmUHT1g+hY947cIPQAiFz3ptQ09P6MAPT8H8DyPuNY8PrXNPENp2Dw0k+A8RB+dPRmhqD2/AKA92CGAPeAQZD36TIE9RFGWPZR4oD2vSIs9MZiBPZsHgD2hJH09byZrPayfWj2KTWI9Oo59PWHidz0SoHw9kRiFPYAUkj0RT6M9hTKVPfp/hT2DJG89TcdgPegRWz3W72w9kuB6PV1/bT1jaWw9ZrqEPa+agz1vkIU9Dg+DPS0dfz3Ixn89G2SVPQL/lT0Fho89Sa2IPdGchD2GumI9hTFePUcMUj2pTEo9K29VPUmUVT05e1M9u4tLPTt6Uz0vb3c9ZCCSPZP6kj32yYc9s4hZPVjpWD0j2209g9KEPTsliT0jTXo9pX1+PWW5bz1SMWM92xxwPd3dgD08cIU9EhZvPeAJaD39ZnE9lXONPSawnj3DUYs9bKyRPe9miT22r409GXx1PXrEbD26EYQ90BCZPatzjz0qn5A9cNCbPYQ4lj2aDow9D96EPQFDgj3MEo49Y96PPQuimT29IZ09rJSaPaJ4nz38vZw9YDWSPUV2kD133o498UOTPXMRkj1aOoU9HYOAPYvbiD0ecpE9SsacPW//lD16rJ89g4CaPfvahT1H5oI95yCGPd6Ohz3yrIs9V2+ZPcL8nD0HCKQ9njuYPQjulD2d04w9Pf+DPUcoeD3A84E9bnyEPeFahD3MnnE9vBaAPc4Ihz3aH4k9uLeUPTCdlj2vgps94DSaPTuWmT18n5I9FT+QPUITjD2lipQ9PzCTPRothD07S3I96LFePWZfaz3QoHI9AeZnPUSygj25O4Q9d2l5PVgLcz2ayW89bdaGPTLtiT2QP4Q9quiPPeKKlD3CVY09xMeNPU3Ekj0q+5g9zW2TPUS0kz0IboM9HzZsPVudcT1Hg4M9yoCAPThviT1bn4M9T6SRPZakoT1qE6s902qnPVc5pj109Z497rCJPcgphT0JPYg9j4CZPXE0kT3xo409+UaUPXVUiz2siYo9G+Z7PcUWaD1I5XE9e+dwPRzeez3TIo09Q3WDPYZzYz3RyGg93dmDPedSjD2U2Zc9H9iZPflZlj1BQ4U9LaKIPVmBdj1+5n89uLOLPWi9jz2avJo9JzGePVtknT2DfqE9aT2nPWhKpD1pM6Y9HM+XPVMQnD2J0JQ9zWuYPVprkT2YCHU9BLxMPcr3RD38dVw9tj6IPTtuiD2d02892nNzPdLJiD0+74o9ehGJPYFsgj1bcFY97s1iPZIpbD3kiV49YUFuPRBAeD3tp4A9Zr6CPTeOkj2DD5E9saaEPddKiz0AQ6U97NKYPfucnT1HHZo9SoJyPcRyUT3dzV09KMNqPdi8YT2JpWM9L9dtPdbSgz31cXI9LqtlPXo5eD30i3A9ITF/Pb24gD0nU4c9InKFPUENjT2Dk4o9CZKLPb15pj0f3Zw9r4CFPctqbz2VoXY97K+GPTOGdj3RznI9tzGGPdmQhj3ztos9U76RPYO7jz1l8n09Pqd+PWVaZT2SV1k97UhaPc02az3+AGw9685UPaEjWT1EuWU9tnJtPc+QdD3Vs3c9Rup3PUmJVD2e6ko9d3hNPR40RT2d9009G/BSPZsdbD3UEFo9JUBVPRh3TT1/9G492VOBPS/Vdz0ATnQ9wiCHPTUuhj1LL4k9yayFPV6BcT3DUGg9jx9hPSTaYT3sx2k9r49lPWp4Zz17M3k97i+RPcbUhD3BLHY9VTdaPQFAOz2EIj49s6xCPcmdTD0YEUw9s3M6PfHPOj0ANDY94G4nPXOyHj3GrCA9gLwfPa8vDj257xI9mscbPXwlIT3NFyQ9qZY1PYP8OD2JTTY9eCw0PfoCPT0r0i09uGkhPSjqGj1RWyw9BRQ5PegwHD06kQY9xSLtPHMQ1jxZ2rg8g/2tPJF3xTxWl9A8/WC0PFcYrTzSi6Y8d6qkPDpcsTxamKQ8TfKePEwckTy1NJs89NGcPJIYpDx4ZJ08//KFPAebojwx47k8L7KmPM9trTyMf6g8r8W1PJyXtDzQ2a48sFm6PJtxuzxLeds8IMbOPJon4TwAIeo8OncGPYGnBz08hv08xXLkPKf09zx0TOQ8Sx/bPEum6Txb4/o871TxPD6v0zzzF+s8oiz0PC5RCD2R9PA8zrfjPHGT2DyUr8o8wXjaPJcU7jy+ZN08+vLbPFhC3DyxOuk8P8zVPG98xzxJ/cs8tgjFPHotrjx3q6Y8dnycPG6KqTzeaLc8vXCxPF4YxDwZ/MU8aT2tPI52tDzHwcE8J52zPOnxtDwJ/608oo+6PECTyTycGdE8Onm0PIHQvDwf7Lg8XenOPCY92Dwyye08/yH4PJpTAj3P8Po8+kgAPf0yDD2YIfI8WXLNPB/g1zxWxNM8fMLPPNox1zxiReQ8xYXjPInfjj3LdrM9XjO/PVWfFz7TkCY+1woZPjwLqj28zLY8e+mFPLtwijyfWZ08t4KUPLk2ozx3Baw8Hl+sPCBhqTwzI548rrmaPDVblTwmBZE8FlqQPKjSkzw+0pU8FWLUPBev2zxY6bk8QTqtPBbssTzWlro8827IPIrE+jxtzSw9vddvPShzND3aD9g8E//UPKlVzzzpWbc8ifK2PDFdAD2nMAo93Vr4PBLnCT2Z+ww9CzAAPSnC7TxKjPQ8w5H5PKu65TxsH9I8dX7BPEzLtTwO4bk8DSK/PBtEyzwkk9U8JmXUPKQo3DzDQdY8LxHIPNd3xzz/2dQ82LnHPMOOuzwP5r083oO8PKM8vTyUbLM8jKuoPFAfoDwy/qU8et+zPANhsjxr2b88s3W1PBGjqzzs+Lo85dyzPAJauTydH808vVLVPFEu0TxxD9A8nj7KPNYfxjyD0rw8c8KsPHskuDyzBrM83OSzPOeUvjxz4cA8u/HaPIXS9jzOow49lFHsPAtzvTxG9sQ84V/FPDC6yTxazsg8uqblPOlRAT3z/AY9sLsKPfcD8DxI0vA8zlsJPfCDBz3hFw8963kMPerwDj2fXhQ9CrERPdCEBz1nJxM9cS8cPbUKED0ZhQI98N7uPCIf5TzRCOI8GvoBPfvEET3XsQQ9m1X3PF6X7TyNNeU8ktLpPMZV9jzB3f08WDQAPT/kCj1sZhQ9jT4WPVRpEz3w0hQ9ecQbPd43CD2aFwk933AJPWd6BT26qg49MIIaPVe7DT3fuwc9TtIGPVnK/Dwztek874IEPfl4ET0MPg89ge4LPV/xEj3Vkxk9VuIVPTCJFj0WKhY9PhsZPXWpIz2OISQ9w5ciPX0XEz2FAg49jWUKPfq+Dz0ycB09JsMTPcqbFD0a/RQ90VwRPd0aET0F4RY9AFcZPT6SEz0PQwc9a9oNPReiLD2Nd0I9g05BPZunLz10AyA93hUnPXD+Kj1KbB89mmoTPdQeJD3TEh09zuoVPbauFz31qBM9w7UUPcKVDz02WRk9vDImPWhrGz1yMws9HgwCPaiUED1AYhI9BvUXPVf7GD0erB498CcEPSEvAD1RGwA9uCgKPXB9BD28e/08khkQPd1nJz0uSCo9i1UlPVepHj2/HiY9bmsoPYMpGz3VoxY9bVIPPUTCFT3PGRc9ptEoPd3qLj3Ecxo9EXcTPWg6ET2YOBU9G1oKPeOc9DyM0PQ83+cBPerFDj2dQBE9MasfPfxNKD1FthI9xjb8PJ1X8jwEhvU8X8wGPQGk7jzxodg85s3VPG/txjwKp9Q8Ug93PWvFXD0BZVU9lIM2PTBnWD1AInY9jshWPaxAZD3GRVY9qnpMPYHdVT0zT3I9vXpiPWcLfz2ASYA939mEPcrxYz0zD1o957eGPTdVmD1B24Y9aap5PbxUdD06MYQ9sI5/PR32gj3lT4M9FAB2PVSreD0hJIE98FKKPbmrjz1vKYE99vd6PaGclD0C7Zc9cSSdPcopnz2vwpQ9mECHPQzjdj1tj389JNxvPZ4FTz0MZlg98aRoPYd4Wz1HVlA96JFWPYQCdj28an09VMNzPTj2ez2w82E9PQZVPavsZD1gnIU9rNR3PX8LXD1iR089uO1WPbMhcT0My2Y9KTCCPeDqgT1WE2c9fX9iPY12gj2gFYs91zd0PU4ReT2qgGw9VcdzPehffz1VfIA9QGR4PU2EhD2BnYo9awSQPdHmlD2MRZ89a/ucPe0Rkj2E1JY9g2efPQxXkz2zSpE9rJiRPTrMnj0fjpk906iQPVLnjD0zWoA98cWCPWIihT0MqIM9YpqKPVcXgz1EuoA9xF+QPaNNmj27wZk9Xp2OPTZ3ij35JX49cRCFPRlldj0HDIE9dVGJPXfWjz2qwqA9k56ePULQnz32pJ49roebPSgjjD0X/4I9tsOMPWQNiz1AQYI9wQxzPX7ObD1mYoA9IQ6BPQIhiT0TGJY9p7agPTA1pz0i4KY9kJakPSirnj19hpo92KSXPanmgz2nhok9k0KKPSzieD2ZoGs9pXh0PcW2Zj0w5X89YiyIPVPGjj2s6oA9vdxzPYOQhD3wIoM9wRSJPexQkD3mB4E9H9GAPRW+jz3YyIs9ykKMPYfBhj2fb4I9tpyCPajMiT3/L4s9X6GJPWohgD0ITIg9OamEPd66hj2kZoc9SpqHPSLchT0G+og9IvyKPRUpiz0S0309TW5/PZDRgD3btYk9WvyBPYk1gD3GGI89ZeqOPejpgT0VR3E9lC5yPXf4eT0HM3U9vJd4PQDDgz2wFoo9U1d7PTaJeD39HYg91YKRPWMujD0BTZ493uGxPbChlj1U2IU90XmFPQSTgD3Cq4I90v6MPV4slT18VJk9cm2cPTnclz1voaI9E5ihPakFmT04/JA974SSPUZegz0DZnI9ZKlyPbDfYT1I2Fw9QctQPdbZTD0l4Fk999ZbPYmQWT2tCms9YIV4PT+8hz3BhYk9oZd6PTgoXD32QVg9BxBXPSs5ZD2rCX89zQeFPSxQkD2lsok9mp6CPSrSjT3buo09tyWEPb8QhD1ZZYQ9XFWBPRw0gT0S7mI91PdQPTiJXD34AYI9OwiFPVoeeT1iYWU9g49iPS6DbT1Yy1U9ieFiPct1Yj35A209gm+BPXveiT1L/pM9suKLPer4hT2o94I9F+mAPdzziT0bTIY91BlyPVkmYz2rEmo9mgh7PQxwgj04PoM90Yp3PcvIdT2xLoY9z4x3PTmEXD0QVUg9VbFKPeqGTz2zx0Q9CIBePTSiTz23TTg9989bPS4/Zz3HEmc9O5JiPUbqUz3nwGI9VfBYPf39Qj2RXmA91GZuPXZ2TD2xkFE9UERgPYx6Xz3Z7mQ9Gs1WPX0bYD3j32M9e3Z4PZZMgz1EmHs9zg52PbdBbD0c3GE9pVFsPelDSj1d1zo9wuM+PW2gWz34/l493p9XPcuMST0Yikg9frJdPYmvez3tPoI9yMhQPccOMD2GoDY9G7s3PT1IOj2cCTg9IjUzPXC/KD2HXBU9GEsaPZGBLj0M7iw981IiPf1JJz1uzSU9eBkePQ1PID1MPiQ92poyPc7mND1GICg9OrwqPckFLz07aCg9S98YPd5gAj0RrAw9GE8VPSjSED2KFQQ9ZqoAPWMS9zzmXb48SG63PIbQvTyrYrw8DbDGPLAR0Tx8FqQ86jiVPMJDnTzeuKg8dISzPJ/knzxZgZo85XqdPNoMmDzi5JY8FX6pPP7ppTzlqpU8dc+nPCGNojy2yaE8c2zCPIpZyDwh+sA8DBvDPIr/6DxF89s8AznIPGFQ0zwfPO48s7n3PJmPEj0w1QU9P+zuPDZi5DzdrNk8/2/TPP5h0zzWpu08qu/oPLsF6TyTrvs8UoABPVSn5DyVSdM8A3HHPFPD0DzEY9o8e3rjPAXr8zxag/U8klDhPCmmwjxOrcc82//FPCCGrzyBJa08v5mqPBWhrjwZGZ08XrmePPbQsTzTw7A81Y+vPJpcozzf7KI8xriwPP6qujy+4bk853jGPE8krjxvE7g8KTK8PBuRujwkh8g8NKnNPIw30jzCPdM8em7bPJ4T7Dwpz/g8R9IHPZeaBD0P9AM982YFPQMF7jzjQtM8kMe2PJSJrDxJjLk8Ouq8PM4UuDxWPKE8IQKqPMQYzzwfuPM8avPgPNthMj0sdIA9m/NiPbsk5TzpoZM8S7uNPGeqjjwulok8oLeJPCaGjzw5J5s87z2TPDbyjjwCm5E8m1ymPLDGqTzzTaA8t9anPKqLrzxGRJw8j2emPEGotTxGF6c8p/ScPKWcnDxSkaU8K1ukPKtHrzw8C9I8D5jhPOEk4zxPYd48KyzjPD9U3jynKNQ8WEnMPHO40jyHvt48CDfvPIfM/zwRhgg9t5kAPX429jzIwgQ9swD+PEmL6DxD18E8d1+xPDAwsDzxybk87UHOPJI8zjwcp+A87TzmPAy66zw+Sug8+rDVPIZryzwW6dE81EbDPM4wxDzYSck8NAqqPKt3sDzy07c82tOqPHwqpzzIH7E86a22PLj1sjxOWq48xEy6PLN4xTy497g8nxutPJ4TwDycHsk8o5rAPE2hwzwCNNI85a7ePH7+6jwZWNU8aCDBPD8qvjwrVsk8B2PPPL8LxjzO69Q8RlkAPRB8BT3BNAU9VjjUPG0oujyfCsQ8WXu4PCOyvTyUJN08coz0PO3RCj3H3CM9KS0cPbI+Ej2tTRE9TgEaPVuOFT3UiBg99w4ZPSPvDD1/Ygo9sXQJPfhWDT02JAw9qvYQPZHeJz3saiM9EPoDPepZ7TzDGQI944QDPUeRDT3wagk9Ex8OPV+6Fz1LWwM9H4n2PMvM/zzX2gM9GKAIPQqhBD2iOg09c0sSPUzBBT3SQ/w8RD4APb9vAz2YUwo9rFIOPS/zCz1BQQ89TKUMPf3f8DxBJ/48SOEBPXTCDT066As9a+cGPf+kBj1jfRo94o0kPUN+Hz3egCQ99ScbPYGoFT25fRU9gk4OPXuHEz2O/Qg9T5INPQ7uHT2/DBY9wVcNPYekCz06TBA9SGkaPcAhJD0jjS09mgIkPUvvDz1ypQU9/oMUPXcXJT0GViI9j4wOPQi7Fj2l8BE9+P4aPdPCHj0FiSs94SwhPVGtEz3E3gI9xNMDPdFEET2naxA9RswLPUuBHD0PPSo9J+0bPaNVGz0nFSE9ZNQlPecGIz0WBBc9STsKPcIzGD3JvAk95qT2PEiL+DyfavQ8gLQHPaaTBD1lIwU9j3kKPSF3DD3jbAc9mfAGPXLzET1VvhM9dsMVPUKGOT2rJEI9rdsePTqcAT0+ov48bPYIPWG7Ez1boxk94AUpPVbjLD3xvQg942D6PDaK+zwPmAs9Ug4UPbqgDT3YGws9Nk4EPRHcAT2ktAE9JxsGPRmaAz3sOeI8j1zrPO3U7TxL8AE9wisBPa2O3DyHobQ8C7OkPIrzqjzGRL88AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/TFXUPGwIJT0NrDo9eKwbPcvpGz3CnlE9xQ49PfA0ujzDJDQ9z4A8PSn5Gj3SVAk98w5HPW5OaD02qRY9G2lBPSy6VD3sOlc9B79zPVRReT2DvHU9wIZpPRVLhT3uxnI9SRBkPTyKaT2/7309fL+QPc4MnT2QT6E9tRSAPUBsZD0JQXA98kJjPTx9fj1Jfok9LX12PWBUfz35T389FamNPZwHlD1D4n89iP5vPbUucz0HMXA9+NRmPeyrbj05YVg94ERYPayoZz1ZLm09FhpXPcFPQD2U1lU9Idd0PUKwXT0MdVk926yEPeGXjT34DZE99r+IPcRffj1U3W0948xWPaYYbz2E34I9Il+CPY6xjT2DzI09NmSHPU4hfj0rKos9zQGUPQiblT3viJM91/qcPcKfpT1aOqM937GjPXOTiD1AAIE9n+6HPbLBfT12o2U9FJ6BPW7GfD3YuHM9kAh9PZyeej03zn09lBVzPTEohD2VUZ09UE6XPUbjjD0gdIY9/CSOPeJRiz2MRIc9tkeCPeDBjj0tyJk9DAqgPWqZlj2HiZk9oxWbPfiolD2LfIA9lDR1PSNMgj2oyow9QzSKPbBHgT1HJX09TDmYPVcqkj0M7o090+eVPfH2qz0dE7Q9VT2xPQt+oD3z1KQ9MXKRPem0kz1WDo09sgaCPQ8gfj3c0m89+aptPRqubD0f34o93l2NPbQhfz3c64o9TNSEPStFjT1SWpI9AheUPcv3lD1JyJo9PsCVPeB0lj0vQoQ9sZBzPXINiD1OJYs9CNGMPRFdij091oY9Tp6OPYkKhT1E34M9elmGPU+DgT35png9DR17PWheez2M04Q9L6mGPWeHiT2MDHk9KRxePbH/Rj0r7VM9ZD9cPeC8bT0qRG09VVx5PbWndj19QGg93IFgPYPBez1OX4o9CUGOPcLihz2ypoY9s4KLPRPWiz1O1449jRCKPQTPkz1tFJg9SZ6fPWgmkT3sM5Q931OEPZqqbz1LXoY9CjOaPZ+4pT1Kg5s9gYSbPYZcoT3ltZM9Q3+bPUxCpT0njZM932iGPZ0pkD1U0o89c72CPbVBYj1xIUo9KztDPSRVVj3kUFc9XNRfPY6/dj0ab3s9i2dvPXWFgj1R7nM9xGJ/PWdSdj2as2U92+pkPcuoZT172W89Pg59PXXBjT3l9pQ9ayOVPdq5ij0Ptns9Wqt2PRnWaD3YiV49znlbPWuabj0lMHA97xmBPSqPdD2XtHc90caCPQ+pbz2xr1M9XEJWPX5aVD0MO1Y9B2pfPblcXT2us1o9B6VVPSOCRj2ptVc9uPRVPUc/gz0YvYo9yCt1PeLTaT1N1XQ9qHJ5PSRHdD3om209O5aFPRBheT3abHk9W/mBPakJgj0EXnQ9sRVZPQtLWT3CvWA9nolUPReuUT0qLlw9X9NVPWLJQj2RbzU9hY9FPc7eLz2yMjs9YsVGPah9XD2i6Gk9LTZ1PVu2hj33nWg9pitlPeKXZD3UNns91xldPYnLXj3Ma109RyNmPaBHaz02v4M92RBxPdlFcj3ZPW89TTGBPb14hT14qoE9ocVsPWc8Zj3QOVs9p31gPanQXj3sij89OhpDPeLPSz2STks92JA6Pb18Nz2QgD89JcQ3PVmdNT1Jhi099ukZPZIiLj31/iI9vNopPRnWLj18aC09+hkvPdBqLD2H0Cs9mEQ8PWHfRD0E9zY9OvcsPbagLz2ynDc9CqktPQ7yKD0fhTY9JQcvPYBQFz29BSA91DM0Pf8PSj1TwCc9CBoYPTDrBj0MiAQ9/mAVPcywET25g/U8iRTjPHk2yjxJ4bA89fK+PBtR0zxtCrs8EPavPCMRuTypkr08XCClPJf3mDyC5qU89M7JPNCRvjzTHao8h7GfPI1XozxMn6w8Yaq6PPdivzzKg7E81tzCPHIIxDyxocg8nFrEPLZBwDwxTMI8H/fFPPSJyTzlI8o8bEHTPK952jw4EuE8Szn4PCQm/TwkyOE8DFHOPH9D0zxUGM88ErrTPDDI4jxgjuc8ddfiPPPp2zxbkO08ZnIBPY00+DzXuPs89NfWPIK42TzqaeU8wZvYPFK73TwU0eg8Cp3gPORGxDzWJK88JTmyPOoTxTxPMdA8LP7SPHV/vTwY57g8hquyPLjqrzw2Brg865fCPNtFqTwGQaU86W2uPBACtDzqr7E85cG3PJd4vjzhYME8CmPFPBvqxDwicdQ8dQnXPMF7yTwKR9k8QQTpPEa36TyC0wA9Jo34PJ69+TwOI/s8zfLiPJci2TyoQtg8anK1PM/EqDwjnsE8C5jJPC4Ivzw7oLE8I1u0PLPavTzNY808QuLLPCEVzjyti9M8FKK8PMDsrDzhvaA8yAGUPCNskDwU1Y08WWiWPHzVljyD8o08E3CJPKp9jDzzb5c8K8mfPCllkzwjUI48CIOQPO5rgTw6sos8AfGdPAU2qDyzlJA8T3ePPLovoTxoF7Y83M/MPNYXxDywkNw85jbrPNcw6Dy/dt48w/nUPLD3zDyn2eE8N8PtPP22Az2vXAM92NMDPUfvAD2mSfw8IsDSPIBKxTyv9c48Xh29PHiOtTwpZLE8o8y0PHH0rDzPSLs8ZQ+4PF1DwTyTWcY8fSraPJWb5DypI8Q8/5q5PGbjyTwUY8882n68PLC5pjywI5g8q5qfPMa5oTyKgbY8BWS2PDVqoTwf0bE82AWxPJv+vzxKwcI8IFu6PM2fvDytFLY88A+7PNq/uzz32M4813HXPE1Lzjx1m9A8k8DIPIxmzDx/b9w86bLnPNfR9zwTV848p8vBPGpI1jzzROA8HyrzPMpX9TyrfdY8mDbEPIR41zxsDeo832QAPQJZ8zysYP880ZEWPeM3MD38AjQ9ZMEYPaM2Fj3GOR49+2gTPT8BFj3TJBY9YuEUPcjAFz3FGx49clIhPdsGFz2L1hE9rAcaPRnxGz1WNQ49mRcDPasbAj2jYN88qA0BPZXcET1ySQQ9+ewGPbag9TwDpfQ8i4kIPe+nCz3j/QY95nEPPb1TFD1J6Qo9CAz4PMk6AD2ndwo9MhwOPSQ3Ej3v8xA90fwHPUqXDz1z2hM9dWgNPUW7BT230BQ9Lj4VPZZqGD0kCho9m7kPPbLZCT1WSxA944ATPYsTFz0g9g493uwJPWilDz0XYhA9dq4IPVlXBD002QY9ncEEPc1HAT2ZUQg9pZ8EPUiVFT2eeB49Uq0nPU89KD2boio94CwbPT9lFT38ICw9rzc3PTkUJz3HZxY9mpYJPWiVDD05vho9IeQTPVH+ET2xQRg9tC8MPbQZBz0wiAI9JCcDPanD/zzcvgk9BCAZPSVOMD1qZDc9BigxPXJHMT2GNyQ9tvwdPakwID242BQ9oq0SPWhuFz0WFA89QPESPVs8Ej23Ivs8Btv/PBUVED3T8SE9DVAqPVeUJj3Lzho9wHMLPVc/BT2b5ws9IxwYPUI7Kz1ThCc9Og4SPe4UAz3kCgo9QTQZPYXoFz3LMRs9hTAVPeQsDD0LkAY9RbwLPVieCz3dCQc9zqwVPSDbFz2Xixw9KcIMPWv3BT1Gg+88dAfsPBC16zxCsO48iVAAPQQyAD1tivE8kJDXPI5csDx8f5o8qemVPMzZsjwEl7I8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/iBUDPWk0MT0ZTRs9oFLGPPj/Gz1pYkc9Hff4PP8MCj37Ej496V5GPb+MND37XVs9oPJwPeetNz122Uw96DhdPU4OaT1Bm349z5KNPeXqiz02fXg9+lNrPQgzZj0gKmE9iVZePTcKTz1uxlg9UIJUPdULVj1Zo289P3xxPSY2Yz3xmmM9YYFoPRUEgD1NQYo9SMGJPf+Ihz0EQIs9twCBPemncz0jyIc9wIqAPTgYgz2yeJw9NrqRPVjvgj3GX409/A6VPSi+nT01l5Y9l+yFPQrKhj09cYw9RgmPPeFqkD3S1Yg9dH9tPc74bT0fLWo9P/p9PaymfD2symI9wn12PR8qjT3bVXk9NiF+PUnPgj0i8XM9hjCBPSYziT2jFIs93DCMPcZdiT1L04Y9HG2OPZPrmz0AfZY9mt6ZPancnT2kH6E9kjupPQD6mz0sgZA9/7dsPTqZZz1cwnw9E1yKPcAUhj3muG49l3FqPRy1fT0uh4w9+QmNPYhzjD2Qxo497B+bPSSVpT27AJc9gNJ8PSByaT2qJoI9TNCGPSKidT26+3o94mGAPZqlgz3LAX89UduLPd57gz1kfYY9woCIPZvEez0G4mo92up2PVn8eT3oj4s9FuabPTFGoT1KjJs94waSPWbrjz1K55k9cwiWPVHZgj1nX4A9IS56PZ2Wfj2S+4I9owZ9PeTedj2EdoY9zDGIPYuhgT3zV4g9MGuKPdNvfz05zXI9CkSCPdeJaj0QYkI95iNGPSHnUD1k82g9O5pvPdHVYT1N3Fk9lqpbPSAOYD1LJlY9YUZbPZR8cD1Q8II9E1uWPSg5lz3lHKY9mv6sPYgroj2T6JU953CVPSyWlz1TKpY9AI2QPfvciD1rtIM9jMqKPTMKlz0kMqY9c8WvPVLBqz0ocqs9RsixPQF1rT1grYs9r02HPYBehj2AAY09uBKFPWgZYD15XVg9ZWROPa8TWD0f5VU9KPlAPTKsZj1b5289gH9xPaophj3Wt4E9lLF8PS0+fD3k/Hg9k2ODPeFrWj3aIUM98spbPeubcD21M4A9s+GKPd4+jj3NdIQ9Npt1PWNXYD20Ymo9cpBkPW6sUz0OTl09biNfPWwpgD12TII9J7lwPatsYT3mfVs9uzhnPS9cXz3Av1Y9dX5ZPeoCXj1GEmY9LIlfPdqoTT0FVD89UN0yPcL6Lj0Ebz49c4JKPepPaj3laoY9F9ODPTnAcj1WVYY9Tq+bPcUxjT1Sb209led4PcSXgj2Ki4A9cBl0Paolbj2XmHE9u3BaPX4lUT2xKk89mHdZPTzOYT24bFc9pAZbPXSMSD16u0o9PyRAPY8LNz2jvD89biNWPYHUYT2YsmQ9+stePbD8fD0QGHk9UrNyPdx1iT3VMZE9myKQPV48iD3CKoo9o0WJPd0eez2Z7Xw9XuCDPYmUhT3viIs9cgiHPY9GgD18A3Y9ZT56PUFWbz1RQ0w9tZVIPRA3QT0XHTc9uQRCPYcYTD3zbV09O75fPRTGPj3xwz89NUI8PeWdRD0D+Tk9sEQzPUnZMD2evD09JUU1PdOQKD0n7yA9ceY1PXElPz3V+zU99QtPPX5kXD34yVk9gA5FPaqYMz15wSs9yaYePbehJD2Ysiw9xGoZPdNwGT2PizQ96c9YPWGbOj1ksjI9EFIoPSXkJj3HExA9t57yPJzq8Twkk9k8unbPPKtizTxnhss81k2+PE2FwzyUsrQ8IXCnPDUArTzhNdM8W8moPPqWrDwV57o8zwu3PHTRsTzz2qc8KjOkPMEgozxUtaY8EOqxPElirzy7Hbk8XhfGPPKF3Tz5WcY8PFW7PL88wjzjeck8DmTRPOKJ1Twf2+E8Qa3iPEOV8jwQBd4839TWPNl22Txs5NY8NXbQPHDZzzw9Jck8RDTXPMHc4Dz88d087BbPPCMzzjwNNdo8A1XkPKmb6jzwrvg8vnjdPKHyyzw8ENg84rrcPHimzDwFD688KLqmPKPgrTxF4ro8SuqtPAyrujzOrcw8+xu4PKc4wzyDBs08nibFPMRbrjxjQ648oHq3PG2JqTwVgqw8hb6uPJNSuDyDmc4853jZPAN/4Tw2WdE8S7HKPPgB0zzx7Ns8gXfWPHDs1zy+Zuw8aUwCPeVfAz0ziAk9GToEPYbH7DxMJdA8BKzDPF8hyjzeH8Q8wL2cPIGYmDw8L6Y8z1SsPB/6rjxni7I8fVukPGVltDzaVsI8l33TPEUL5jyRaec8VWKvPIuwmjzqE5483kiXPOceizxTJ4o8Jl2YPB9zpTxq5KM8sCeKPKdQmDz9LqM8S/amPNFVnDxrIZU8qjKJPB58jzw1yZw8bROfPLrEmDxy+5g83RiqPJhatTykvbk8zZ2wPEMQwDw9uNY8x5/DPB+rvTxcN808kWHLPHoT3Dx41QA9pyIFPX3zED38qPA8IzLVPNY3xTyUR6k8YCSsPNhhnjxmvpI8Bc6PPLQXoDwRSKw8hBytPBBRnDwXXqY8ICOqPIDTsjznz648TmesPBmupzxU2Z88Yh+xPPaPuTx266U8yE2vPGNkvTz8t7M8zVujPHeZnzyJUr88TTrAPNTkvTz2CbQ884ipPKGRmDyOSJ08DIugPMByqDy1w7E80Z6zPFH5tjyI4dU8Fq/cPJMruTy6kLQ8Y/2+PAp6wzwd5s48fS7UPDDm+Dz6LOM8h3fYPGWk0Tz+qsY8S5DVPFBR8TwYZ/Y84CDlPIq59DzST/I8Zn7iPOs6/DyvNRI98T09PeTFST1Jxys9OUwZPX6HHz1l3ho90fwZPQ3zKj1IySI9694PPU81DD3ycww9ZQIUPSJXHT28ch09/94QPe+3Dz3FNRE9QmgLPbqpAj3VzPU83Ir9PJyg/jx8KgA97TkDPQLcCz1d7f08QOUPPajmGj1AxxQ9VYQYPd+mEz3vUA89k3wFPSeU8jwhi+M8iMwMPcMzEz3q7RM9XwoLPY3qDj100SE9HP8rPcbsGj1cVhA9BdAOPdgbFD2QQhE9OTkFPedSAj1CqAs9fsUPPWhHDD2pTgI9FIMDPTRFCz3U3QA9KNAFPW4sDT3IQhI9HooOPcTZID0pqiU9tbQlPVakLT0vRig9TZQXPZ98FD2HMR09Y+MhPfptHT3zwSk99gcqPQDUET0EpBY9AnYcPYThFT2HaSk97r4kPXP6Cj2nsQw987cQPZ6TDj1BLAw9yl4LPcjF+DwHLQQ9X1gNPRtVHz1KgiQ91SkgPWrSFT1OihE9l7MHPWD4BT3C+QM9nfcFPe4XBz1ALxE91kgIPQvWDD1+fhk9nYgbPS35ID1G+ic9h/YkPRTFEj1f0BI9z6kLPV2ZCT3WDgs9qf4RPYYXHj3yUCE9Ys8fPUhSGD3aDRY9Q1YfPUKmGj2CTxg9BRIUPWfMFj08jQc9ON4UPdsNED0R6wY98esAPccMAj3qCBo9zsAdPcFkEz2Tof88Ij3rPDNg8DwFLQI9NlIUPe1xHz3pK+s8hzulPJQPmzyMBZE8RR+fPOY9rjw/F6U8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzZwwzwx9ic9rDo7PQxBLD1LhTw9HItyPVO1uDx4hOM8KBgJPX8KLD2upDg97J06PdYqJz1JB/o8sFkKPRaGNT0MMUU9irBePQGmcz3ZAmE9j31kPRRFeD0Oc4Q9v55rPbCtbT2MnWo9YQp3PVc9fj0L8IE964aNPaVijD3oaIY95Yl+PUpGgz0/I5o9sCOcPRoDnz3/2JY9A3iTPdwQhT29j4c9atKEPR0lcz1jUnE9q0J2PajCZT2EdWs9TJNiPURYcT0mmGY9N5tnPUB0cz0WRoE9RvSJPSNYmD0g4ZU9XdGIPUBxkT1VzZw9PwKdPbZurT2356A9LmGTPR+BnD33r6U9s1mcPfiEkD0QnYw9r0WEPcBBgD3iGm89Z7lsPcKRdj1dbZA9nNOIPbDvhz0qgYU9eNt5Pa5xij10nIo9aUiHPdM6lT03upE9EjWUPVubgj0QiVY9QU5hPejefz2uHoo9EBOEPQSjdz0IIIE9AXaHPZ8bjT0ysIM9+YmCPR17ez1dKX49RTZ8PagRbT1K9lI9aUd1PVrUhz3z9YM9hAeLPahosz1g+6g9q2WVPSKNjz1+/Xw9r2BlPQmhYj316V890sRnPeyIbj2WLH494ROLPfFKiz1oi4s9/2WNPRAbiT1La4494UR/PYMqbD2i+nU9aPRSPW1XVz1TNGE9IWpmPfZihz0hf3w9b2FfPbiraD2GVnQ9rOhuPTEvcj1NkWI9DrpwPY3zhD2I8YI9KsaUPTyLnD0j45g9oEKTPQe4mT2qNI498AqFPVXadj3Ob2U9nbuCPQ9Tkj3WDZk9ti6oPVODoT2pq6o9IUqhPa/Qqz1hzKQ9JEuaPcGClj0Woos92oKEPUlUfT09+YI98cNjPTg1Wz0w3kM9N8RCPR8HYz0yUn89/GpxPRlscD3+umc9fbl1PXQZZj0+O2o97dtRPcniWj3sjlc9o3ZoPdrvWz0Nykw9cNtKPc53Tz2puFI9/FVgPUUucz3SQnM92Y98PZTFgj0AfHs9AFZ3PVFRdz0vY1Q9mGxePSRRXT3wPlY9F81OPRm3WD1rVVM9TwNQPXbLWT1Zlmk9xopjPWxsUz1eEDw9Lvs5PXIWOD2ZQDM9UxYvPUyBKj19mzE9nDpIPWYSWT1vi2c9Zq1mPX5XbT0o/Go9TZNvPUg0aj2qzX896NGBPZEeej370mI92RtaPRkaXD3fNFI9U388PdBfQz3xBkE9Y0hRPTHDaT0MO3A9PxdaPcebaT3kv3Q9Uj5KPcViST3Dw1c9HuNPPX42XD035nc9HJp6PegkdD0ceng9ZZGFPSyPjT3E2pk9sxKUPe1Ihj2BXoA9Il2BPfQDfT1ZH4Q9OZyPPbNXkj1xy4w9ICt4PQNeUj351z89qblUPTGqWD21zUw9bjRKPX9EVz09RlQ97PhKPXLZYD0wZUw9vkg8PQ+sPj0dfDo9HL4+PYI+Lz1/2SU9oPksPc1MJj1k0iY9oVBQPet9TD3X/DY9L4dCPefcRT36F2s9NHdaPdKCRT11ijs9qYczPSEZND1fkS095KkjPeUxMD3RwTM9OyAjPYWPJT32vzA9Qi07PcmdQD05ujk9sU0dPdKwFz1M8wE9r67mPKUhyDzZPdI87u3WPIG/zTwKNb48fXvVPGQixjyr8rE8SpevPN3BrTyJM7I8PDOlPLrPrDwBEa08RBKpPGj1ozxVcK48S1mpPEg6sTwU9b48Zv+yPFx6oTzTqpQ8G/CVPB5FnjzUYp88DrG0POTE2zy8Y9I8oXbLPCo4yDzUQuk8pYv2PLRi+Tz6nec8wNvMPKVetzzi/rg8m+O+PLnm1jzlddc8G5jbPNqI0zyP9cc8cSvGPJXm3Ty2be08DyDkPGQ72jyXF7s8dQqwPB6kuTzOhrs8efq0PFG/qDxjuJs84MenPD5Uvzx9w6s88OKnPDf9wTxKy9E8g1vLPAjuwzx73c08DkfIPDHxuDyQ0648afutPEAhzTxy5ck8HqHBPHBUyTySWdU8KazWPPUp5Ty/49s83uzmPD4e7zwowd08GknbPM8p7jy3Ngk9BYsoPVi9Gj38vxE99LEMPcs83TzawbI8K+DAPMZ6yTzwdbw8bXS8PLDypDxtEK48XbipPAmSoTzTpJ88rwq9PGmLxzwhst48vUnqPKri1TwU/r88GSK2PCddpzzVRJw8CL6YPHi8mTwy/JE8sHinPGSZuDx4QKo8lc2mPMtOoDzzwI88QV2YPMXemzyUcZs8pEqZPLVYpjyDoqU8x/SoPCzIpTyMd6w8t0u4PG2cwDzuDso8Gme1PF/lxDwfDtA8J5C9PL1vwTyGa8E8MJXNPBqE8jz6v+w8kr3bPPAo8Dzjrt48DFuwPMNzlDx6AJM8+RigPKKmojxtp548vcaiPOkDszye57A8ovO3POeMtjzNf6o8mXutPFqjqzz5ZrA86uyiPJ3wnzyi/Zo87hCbPOXsqDwxsK08tzm5PB+msjxOma08EvSgPEDpnDwGfbQ8VvmxPNgKuDwGSaw8MXCiPAFnoDyhD6Q8m3apPOdYqTy9j6w8OZimPJaErjzOUtI8KqXQPDlzxzwDeOE8d+npPJYK2TwLx8k8K2TUPJWx2DxTPtY8cIHzPNEo7zy/SeQ8iTTTPKCC2DxNk/Y827LqPMsp9DwQBPc89DsEPXz8HD2zJyY979cuPe+qMD3ZEg89HzICPW3sAj3Mmw89ywAMPTSV/jyaXAI9bM8FPcbNCD1Zkwg9qlYVPRrzID0MKyU9d2AhPZAXGT1ZPxk9oWoWPYOpBj1ygPc8phLuPN7K9TyrUQA9CxANPSvuBj3GJww94BsQPTpODD0JchI9RdwdPZxCKD2FXBg92uQNPR8fCj1kgAY9Ct0LPXtSFT0t3xQ9ZkAWPZYtDz2LUPc82psPPeZqET15vRc9D0EPPYec/jzOrwY94QkKPeGbED2OIxo9UcQgPTeWIj0cNhE96fYOPVRLCj3RBvw8SEgNPZdYDT01ww89hbMOPRxGHj3ViR89Y1waPeDYHj3I0BQ997EaPf+1Ez3AXCA9pMwlPXBwIT1r6S89CrYwPVa5IT2UMR09MY8SPVpiDj3vlxk9BRIdPaZ9Fz0skx89jIMrPUPRFz1Liw89rgMCPXn7/jytqgo91goNPZhiEz0H0gc9PvsSPSi6GD2vLxE9wY/+PIfDCj11ZgU9Gi8EPc6/9zx0gQI9YN8PPQgoDj15OQY9mEYFPZ/8FT3z9Cg953AnPYgyHT3yhho98ggVPYI4Cz0avxA9DZ4YPTUyJD1B3SQ9eTgEPbdGDD38mR89Ag4jPeHHIj1BXBw9bNcRPR9jEz0zVBQ9ku8WPbQCED08Y9k8SInfPM69BD0I6fw8HNrzPEA+4TylA9o8T0UBPRc9Bz3/vPQ8ChvLPHdPozwEMY88hGGSPIifkDy5n4w8PzCSPBCwizynG5U8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/Uvew72UqfPAXDDT2aLRk9meYiPVVbSz3nK0U9rLm1PJYILz13VVE9O+M+PZkUMT1Kz1894kxyPWEALz0SFU09PeWDPeomaj1reFI9NwlsPdk8eD0rXnc9MD2CPeiPgD2dZHQ91FRqPQUghj1gn3w9VfFmPaUNcz0DM249tJV3Pb4Sfz1cuHA9xdpnPZUTaT2jeXI9tuFsPU4GgT3ugaQ9xKymPdGenD141KQ9FsyjPev+jz1osos9PqecPQYinj2EapM9QtmQPfU3hT2KJYQ9MCKBPREMbj2F2Wc9/pmFPVd+gz0pKIM9yByHPcjKkD1FNI49gWGLPcZnmD1b2J09l82fPWJhnj18gIc9Je2RPVfZjz0MqIc9gnh1PSkybT11gl09aApvPQHAcz0A+1k9RvpoPRpVhz3KVY49ldiHPV7ZgT0AH3Y9II11PdgagD1+zoA9tk2BPZL1Zz39yFM9BFluPcaegz3FAoY9y2iSPcXAlz2beok91hlwPSYdcT036XE9E2pvPXGdfz1L3nc9b/p3Pex5fj1NiIo9qhSMPW/sjT2rr5k96kyNPRqqgT3N9m09A41VPbvBWz3KE3A9ath5PSs6dz0vZl49z8NMPVYwdz0ElYM9l9F3PTfgeT3U1H49UuRqPdaDeD2H1Xc99K+EPS6oiT284I09PSaRPcb6mz22t449B1SOPQqNmz1Ri4c976V2PTeTgz2jmYs9VzWTPTzwij2qqZI99IGcPTxLpj3Lj5c9aomPPaz7iD0ghoI960mTPesMsD3SeJw9mp+GPZTMZz3Kl2Q9r8pWPTb5UT2mWEg90etYPVwbgD0/y4A9gCd5PfxKbD0ugUg9yuk7PfHaMD3+zDY9pJ1BPcenXz05OoA941huPYLOTD1lYzU9AQk4PQwISj2GPEs9WW5fPfvJfT0BF349p+SHPbexhD0VVI8964h9Pf9aaT1zRlI9WXpRPZXaUj0NwV49KXhkPcF4bz28FIE9V7tuPWFmYT0MUGQ9Wy5NPfHUQD36Ry49++g3PeBdOT1jFj49+cI/PYIdQj2yAkY9IsxQPZpCST2382M9sPVtPXhJeD36cXY9LzZoPRGkZj0/qII9PBx5PQs1XD2R0lc9KWNuPed6XD0YB1o9rUlEPYmJPT0nkUQ919FYPaaUZT3vVmY9ked4Pc3kbz39sGw9XNx1PX11aD3itHA9TLxhPU6mXD01BW09ghBrPcqAbD1yB3Y9PC+GPVg5hj1BMYg9gxaDPbL8iT3HC5M9C76OPcohcz3kS1o9X91uPai9cj1qrGA9VilbPcO8Tj10uEY9H3xHPeIaPz3W70A9xDZTPZ9VWT0Axlg9o+9TPbNmYz3mT3E9XlBgPQdFTj3wHT094DosPfuGJT08WiI9qqE/PbXQOj38ilM9cBBRPQ9+Nj3T5zA9+FxCPer2UT24rUk9BuEsPZm8OD2YIS09jjExPUa0PD3NuTY9cdIzPZ3JVD3huUQ9T64yPaueJz2e6hE9xDgHPWNP9TwZ0eA8WebGPDWozjx/oM082VfbPGWg5Tz3suI8GUDVPLCx1zzyf8Q84tvDPMyauzzzo8A8ajvDPEqeszw8TLI8YSO2PJ8VtzxGqK882HG1PEb3szzOjLs8sx/FPCyzyTy2MtE8CTTCPDlqqDw0nJg8LR6aPNVupjyc6a088LC3PEcs2jwoUsM8go+yPFw70Tz1nec8yAboPHvF5jxTu+I8aXfNPDi0yDwtI8k8R/XNPHOW5zzxmeA8HHvkPILz1zzsw7c8u3WoPCmVtDxv88c85XjIPN9Gvjy1H7o8x2WuPEIksjyt66w8JkybPNpqnTxSJZ48KLCjPCeJszwnJrY8D7XAPAhuzjyoGsc8ldm4PD+guzz6g7w8A0SyPGqSozxVc648JHbLPEba6jz3UgU97rL/PCc89zy1l/g8bVLZPCg60jy2AM48zW/PPBGZ2zwN8+g8KMLyPCTD7zxECQs9MgYdPWNVIj0HMgE921/UPOY14DxW/dI8b+DWPBG9vTzJzME8AkXJPJI6tzyvg7g8zJWjPFw1mzz4tqg8ClvLPKmg9jyl8vI88endPEBTuTwZd608sHa9PCB4wDwN96Y8WveYPAxRjjyJBJI8q9mSPC+/jjzM34Q8NFSJPFiDjjxio308N6iGPEi0lzwKAJk8hZaoPJcnlTyYIaA8ZJCyPC6EujzkGqw8jQWxPBXutjwj5MI8xZy4PG2MzDyE8to8oA/JPD8K0jwyU/U83noIPdqw6Tz1/sg81erIPIGmujyR2q88psinPBfRpzyTy7U89pCaPF+VnTxDy6Q8KSyxPJuvsjxtIqU8anugPE0ltjxWfK48OK2mPAjmvjx8FKw8Zn2cPGfmnjw+y6080l6pPEnuojxLEJ88yySgPDlLoTzsa6U8IkCwPBLurzw/VsM8ndLHPFvSxjyljss8XCzDPCrlrzz5trI8N5SpPCIJszzTxrE8+VO3PFCVxzxF7sM8mpfNPPEr5jzimws9/+IbPZA0+zz+2tc8LgrhPHL+6TxM4e48IRLjPHeE7Twn5+88wXPRPIG0wzyR0uQ8bebzPNlDAD20hh49OD0vPUDGJz2ckjE9buklPbACED3mg/w8C28EPb7nBz09wRE9t/MFPdivAD1YWxg9vHohPRa2Gz3WTA49ppIgPeacGz2jYR09FYofPVN/DT31Ofs8fy/sPALQAz39HA09mwABPdX98jxSX/s8QugDPSqvCz3Z1Q09KtEOPb6YAD17Mfs8FYoDPTXhGT3NAxg9YHMNPYdFDz3qZxY9IjkPPfD1BT04exI9O+gPPR6WCT0NwQw9A7cPPRUhGD05cxg9A24ePe3zFT1JdBo9JvoZPd1xGj1rfSI9l3kiPXteFz3rggw98QMFPc/FAj35wwg9zPwNPZm5Cz0I8gs9l2oRPb0JFz3HQRo9A1clPagOGz1eyg49h8oUPeCBFj0baxs9zh0ePR98ID1iFys96+dBPWA5RT2VRiQ9JaIVPUEcED2uMx89IrkdPVinFz0gSx09rQglPczfGj2s9hA9+Bb3PI7C8jy2Yw09gXgePe0JCz2q2QI9OmsUPf8VDj1gJAk9TVgIPfvSCT1KSQY9DJIFPb0HDD394g09UHUGPbuw6jxJzPU8diYEPemaFD3rhBE9Ec0OPTIaFD1Wwws9BjEKPYl7Dz0EFS49fTgePUxpFD1cbhc96kgRPSU7CD3w5B09SP4oPWgvGT2prA0926ABPajHAj3kCgg9U+QAPcco4TzRjMk8d2bVPKQs6TzWNc087+7BPDGlyzxfPL08SD7LPE4luzw9EqQ8PBijPJd6kzzFd5E8MoiMPFFJiDzxpYo8iTGTPEmzjjzcOow8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+0TEzzo4Is85k4UPa/wJj2XRB89I0M8PRwMbT1x1R49WhV4PQCYpD3Tuow9L4+GPSGqcj0oymg9RD50PXatfT0kDY09IYqNPVMkjj24/bQ9+/LFPX+Ioz0t7Jg9gWqgPW/vlz3/aYo9umSEPb46fj0eWXY9toJ4PZefZj3xQ249jx92PaBceD3avH49W7+FPRrHfD1Aln89KXOCPXaqiz075ZQ9QFinPbzxqT0eF5891ZijPUgLnz1ZVYc9YRxvPT19Xj2KrVo9vMxePe67fz3PkWI9fD1wPfWHdD01fGI9GPdsPbyYXz2J8GA9kmNlPckQcD3ZAIE9DryCPWmgfD2cwH89IZiDPRBUaT3n/GA9GvdrPWJ+iD3WBo09Tvx3PRWsWz3LqkM9TcRYPXKCaj2Mf249p9diPb1aYD2IEHk924N6PSGviz3ysIQ9bLiGPZvWiD3QuIw93ViGPU2rgz2pB3s9XoSAPYZ1cz1bIW49G8xxPYRJij2VNHE9YmpyPbJFgj3qS3Y9zvZsPcGwdz1ydHg9XCF7PZ4XhD2PFIE9QUGGPaHchz3K54Q9bu2OPREFmz1uAJg9LBCLPfFXhD1nE5E9nkeOPWobiz1C3Yw9feOUPXCRjD3+bpQ9Y+6TPXbogj0DI349umyCPcuahT0ZN4491emOPQ++kT39uIw9vgGUPVxPkj0BLX89//J1PeRgZz2weXk9biZ4PRooaz0a+GY9qoFPPR93RD1AEzg99Y41Pa4tKz3Ahjg9ZQM1PWBzPz2Q5i09ljknPTZEJT0Mzi89DdAwPcAGPD0IJlM97SB5PZx5dD0vZ3E9MJeFPfkmdz351HE9g3GAPcROVD0Y/EY9IUdIPQsiUj3Tp3M9FmB0PbNqcj3gumU9SsBRPVEoUT2qoUw93Hg9Pf75KT1wTDU9wm4+Pf0dPz27tEg9LQJoPbgyez2IW2U9PKJgPZCFZT3OpG09GBRtPcRpZz3iaUk9gB9KPfTVTj3PYGw9MV52Pbs1ZT2+VWY9WJ9zPTPscT0PRGE9UZ1KPbHwSD0+gkw9AVxyPUoWeT07Gog9AbSSPRNrjj3icYQ92tB2PQ+xZz1ckVw9LP1kPYsPYz3g+FA9JP1lPXqyfj0JeYY9aVaCPW5xkj0pMp49n6yPPT8Jez1mu4A9umV1PYatZT1C+Gk9KuBsPaV0Tz3czmI90B16PV7sdz2YWXE9avtyPd0yYz0VcWM9i89mPXDHVz3OkEg9JY9VPRlWXD1k41c9YttXPZsyQj0y4D09hbYzPRnXNz1qaDo93YY6PXeWPD1EXz89oP03PdyBNj3d8i09WqUxPf+yJz2tvCM9G9EiPb16Oj05OEI9O3A+PfNoOT0vSEg9ep8+PTsWOj3rqT09GecjPfEEED3cBPU8xjTwPBse3zzYkN88BBLKPN+UxTybm8A8F17TPJFc1Dxhtew8PYnLPCaPxTxk8cE8IsG7PNhRuDwjDrM8ZDqrPNdDozzVWKw8GZq1PHRHvTwXY8w8o/PEPHxwrTxwBps8iJG3PHsDyDxv5bk8WEqoPD0ftjw/s688ZY+tPIxtrzxXfK48NrvKPBap2zxkfMw8XbS0PGGmzjxRLM48/C/OPKgU0Dwti8M8kuzGPGacrDyUzL48oqDWPJBIzDzOwcQ8dDWvPIGJtTxvXbY8QbO0PJSDvDxjm608AyTMPK9V2DzCc9E8CMniPHxfwDxfmac8vAanPOKvqjw8LLE8fK21PJMYqDyHg6o8cbS4PEExszxITa48JHKyPL62pjy6sqI8JdayPO87xDyxfcE8CafqPGBLCD2l9vw8P/3mPKc14zwvL8Y8m6G6PD7GyzwDGMA8wBnOPBmy7TxjI/48ZTf7PJyoBz2DMA49rioTPY9ZAj1n8d88cVDSPJcm4Dxi4cM8K/S7PHRX2TyYFOY8FfrMPLykxDz9lMg8ZSrBPNy7wzyLduM8NkIEPbsRCT2E9d88HPCqPK8bqzyJvbk8k3OzPLEqsTzkoL08wXbAPEezqzwmcKU8rg2mPOqmmjzUrr48a1ykPF7+lTwJm5I8lmmYPBfenTxQZaA8OryhPLnUpDwAqLc8LlzUPB2twDy53LQ81vK3PBVvwzxB8c08pyHVPG/g4jzT3ck8/hXFPJSo7TzzSfk8a9DtPI16yTzr16I8iRDPPMLMzzyCgrk8Zxe+PAYTxDyk+7E8bwirPJyEtjyKs608GMauPC+krzxXJrc84aC3PFtUsTx7dKY8Zj+RPHJ9lTwhsqk8E3SYPN5ppDxkKaM8KKuhPLropzyIKKc8g+amPDgXsjwwpLo8hnS1PDFtvDwRkdA8j+jKPD1BtDzxBq889cu5PHJorzzjNK88zN2wPD1brDzSW808igTZPIw64TytoNo87njtPHzh7zzuEvc8ZbIDPed75DwAjsw86OHSPOf0yTz2Cc88CALcPLV80zzp6808S7TaPFxK4Tz6c/Y8ubcMPdrLDj1mlA89hucYPcKqLT3JAjw9LlE6PbBuHD0rtwM9TVf/PCWF9Dx9agA9zq8GPUHBBT36kwo9ULYbPTAuIz1Gjhg9rGkmPQiKJT1qzAw93jz1PGXB7Dz1rvw8MLEHPX3nBT2yvP48Ce36PMM8AD0XYww9HdwnPbu8ID114wo9nh3vPBzZ3Tx+dO084dQBPWKX/Tz2Yf08StABPc7x/TyR7gk9z9YYPbLbFD0b0Aw9xvcPPUtyDz2gnAo9a04DPadwCT0buhA9kfkCPW9v/zykmgI9saAKPdyLCD3BAgI9spAIPeOADT3GPwc9G7INPfyuDT0KqgY968z7PMo7+jw4OQw9lgArPfS1Jj3JuCc9MMolPXq1HD32GBM9HMQNPXBWEz0vlB09hx4qPVvWID1wUBw9UKUsPerzMT0BdSA9jwcZPeAcFT3sdw492XcEPR0HCj2aRxI9wFAHPcslCz04QgY98oXsPBJx/DxRNhc9nG4KPd64Dj2lgxs9HoEOPfWfEj3t/Ag9bzIQPaIVFD0KHgM9lu8NPbwqJD0+xiM9pEYGPR6XAD1NBvg84A8EPW6ODj322xA9WlYJPZjlBD1UzwI9m5EOPdY2Fj2Atgw9Ka0bPfJvGz2FKxA98qoIPYCTAz3kgxQ9eSQPPUnHDj06YhI9wtAJPebYFD2syyE9jyPnPGgbnjxL0qA8VOyzPHs6xjxHY8o85D/IPOQ8sTxtdas8/qSnPM46nTzIx408ymWVPEitjjyfgH8837+IPOCbljxXh6I8/iKbPHm/ozyc8Ks8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+gASM9f6GEPZlgoT3A7os9Fa6APTOncj0cm4A9JOyDPbMBgj28gpE9m7KePdY8nz13xZ49i4KaPW6vij1oqYQ9AWp7PdmUbj2jFWA9d8thPTmeZz09inw92xKNPYdOjz3Oo4s9+YOOPf4pij3GC4o9m5OLPaMShz0/f5A9WfagPZsjlT2tL5E9+46cPeAloj2fepc9uL+GPTsrgD1PpGM9gc1NPbXNUD3ilmA9jwNlPTSOWj2Aq2E9JKJgPVX0Yz2+vWA9+mhpPbgRZz0AiWQ9vaJpPf6NXz3tDmc9ESCDPTMygz1/Q3Q97UlUPfUhXT0RcFw9jnhcPeqzbT0VRWE9DEhAPVr1Pz3Gwkk9WHRpPbOMeT1RjX891LJdPcsSZD2hn3o9gbp/PXK0jD0jN4Q95i59PQeyfT1v+Ys9PhaPPVqChT0bSI09cK+VPZ39jz3ZRoc9poh8PaMrdz2iiWk9oMp3PcShfT3qXYc9OfyJPU1oiz2NfX09+RhtPa6Zdj36CG89ZG5bPQJjbT0XA209peODPSA9lj1yvpw9/reaPSIpoD1nAqY9iBmePX/EnT1er4492beKPVLghT00qX89KrCFPYcvgz2EiJM9L7OOPWpufT1//no9eJZ+PRkDiD0hkZc9BF+OPWt/eD1fTW49Kk5rPcmFWz0Z50896IxLPQf0Tj0S9WE98fpePTX8Vj1gClE9GONTPSjrPD2KmkQ9CeFOPf/TUT2mgUE95zJEPTucPD2UnD09W+hiPVO+bz36OnM9xkBlPbVMbj27rXk9IFZzPTwtcz3QeHI9OeRZPdljOD3/Djg9SOsvPTnyOD0Ik1o90vFVPcnfRj0nOVI9Zk9QPVNXVj3ALUo9yV5UPYXRVD13KVc97bJSPfNbVD2eg1M9xsmAPdVtVz1HLkg9fylOPSzoZz0phVs9LWA+Pf3wPj2igTg98504PRO0YD0XG2k9WG5qPXiHbD3I/3M9eLSAPY3rgD1WNXU9y2d1PWTQdj2+u4Q9P56LPT58cz03DYE9hCqWPZVnjj19R4M9CnNpPY0LZj0p6W09dJRyPfBMUz1F3V09ThdxPZZOfj2b54s9gtaNPQe4ez2+IoE9slFqPT5MZT03y309kvF7PUusaz2OgHE91UtiPWFrfT3wOGk941BGPS/gVT1HS2I9TMZnPZh3aD2Q+1Q9+9xHPU3AUT3EpVg9dAxaPT4DVj0rtU897NQzPQkWMz2hrjM9MwE0PTFGOD0H2TU9wX02PffqPT0JY009rC5HPb0APz1C+Tc9IJMjPZW0Gz3WMhw9Gm4XPRaAGz1q0hY9YU0bPfa4Kz1d3Tk99jQ0PYldGj2+sBI9JwMIPXOfFz0ixwI9ZPLcPG1qvTy7MrY8oRGzPLKQsDzJvKM81mK1PBzzwTw0pME8jATdPOUqxjziW8E85/K7PFwPtDzZ7rw8/ByvPK9qpDy/Aqo8NCK8PBLYvzzRVcI8cxW2PEGivjzdMtQ8nwrWPPdg0DzpxNU8ntW2PIhltDwJAb88r5/CPOMZvDwRr8E8CD/JPJJVxjxlysU8ifm+POieyzyQndA8/VXVPOC8xTwf4sw8MwXVPLJ41jwNU+E81s/LPP/Ewzx1mLY8Y8erPOVBqzxUH8o8lRvNPO5xujyznLk8cMS+PPbP2Dxfwsc8G3jAPJwcsTzwYaE8pJSYPIXcoDylFqM8PW6qPKbJmjx+B6A8NGKmPPsTqjzgKbE807jFPDz31zyE19I82e3IPEiz8zyzGvI8OxXcPLzxxzxzzLs8Z5LBPPDGzDx4Zsg814i+PHOAzzyJruI82ZsBPUVXCz1G0gk9uuIAPcoHCz2OexI9V2gBPST14DyEUdw8exXUPIo80jwUscI8KZzDPJuZwzzt0Kk8rQ+rPGbFvjwChso81erNPNCZzDybN9U86XnwPHWk5DyGfMc89UK0PI8+vDw9vr08/tS+PHdJwjx/M8I8kVayPH9/pzzOLKc8zqqfPL9+nzwoa648efauPB4+tzxSV708h7isPF1RoTyxf608NqehPHv1uzx3eMI81gC4PHLNujxof8A8hAi7PPePuzxNS948oMHiPIo43zx2+9Q820fKPNWk0DwSOMQ8+yG4PMiqvjxFVbg89f3OPCq/2TwmYcE8N669POituTwRJMI8bMTDPOSftzyw5Kg8xECjPPWksTxxYrM8Mp+jPEBUkzyTH5A8E5+TPGbynDxW8J48vCSkPOSCsTzH6aY8/YSfPEnYoDyby608DtKvPDR+sTxiE7o8lq6vPMV4qDzZ8ro8P6a5PLu1vTybysU8N3zBPCOUwDy0Erg8EkSxPIAHxzwiNtM8AX7aPNWu4jwHL/Q8vx3xPCJL5jyEOeI8HfPhPGIByjxXTsc8S3PSPOO90DwlzMo8VVDNPARW3Txi8+s8ZZH3PIXV8zyzCf88TNcOPVyBFT0w4Bw9TKEiPRrsKT3qOi09GuQWPeF7DT0Ciwc9oGsEPZUwDT3qkw091iMEPT0qDj3lVRU9gmQhPTrGIT257xk9SXEcPSLrGz2zUfg8NTLtPLe48Tycx/88G7sKPUw0BT28Av48Btr/POdc+Txj1fs8Z/UVPW43Cz0/cO489F3rPMoM6Dx8p/I8Dcf6PHHEAj3uOfo88AT1PC9wAT2T8+o85sAKPXAmEz0YgA49p4gHPdkNBj3RuQE9wU/oPDeu6jwO6QI9EpACPdFvCz01uQk9VtcKPUhBCz3efgg9R8sIPf8DDz1aVxU9IRsTPeWNHj3wBhI9OzsNPTB9DT0LNBA9Q88QPROAFT1PDRo97sIVPWlAFT26YBY9AYEUPa15Kj3szyw912kjPYcBKj3Vghc9Ng8fPQjXNT3dZDk9nGMiPQQjEz2V8Rk9RvYTPV/fFD3EuxA94d0IPcwEBz1n/AA9BYkTPUGcDD35OAA9szYDPRJuED3Fkxc98uMXPS0MDz1gWwc9bdcIPYF1CD2eswg9RRsSPWv5Dz3x2As9WusLPcoqBT0b4gE9eNoOPXC1Fj3Hcxk9pB8iPaaVIT1nShk9wnITPSms/jzQfPY8qDoXPYCZFj1ROgE98TD5PJqpAD0+1wY9CYgXPcsrFj3LaAQ9v5z4PKz63Tx9Adw8+nfDPLwspDweTZ48O8qqPNwAsDw75Kc8pMWePO8Rpjy29K88icOcPFCahjyPF1886b9yPD9Pbjxy11s86sd4PPjohzxWFqA8XOKwPOjjtDzs2rE8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3kSujuiEUE9wHmLPa0KiT2LQXU9mFdtPRJDcT33m4c9VD+VPTjIlD3wRaE9v66jPXW6mz1looU9gx9rPesFaD2V02c9vPJqPZ8yZT0f4lI9pxNrPZcSgz1y7oY92JyEPXZfhj3hM5Q9mc+XPdfykT1seo49DW+VPTCykz1+zIo9f4OLPRfjkz0RZYU9fnOEPaxZeT1H+2w9oHxePaA/Rj1zik09j3lZPbxXVj04NnE90u95PdqDXD1Yklg9iPZ3PWjmiT1CAno9zRZdPeaEZD1XVXs9PxCBPSGkdz17I2g9QuN6PVILhz3toXE9CiRUPfgBUz2pqE09fQo3PTg7PT2ZxEQ9Ro45PUqgTz3i8WI9jwKGPd8sij10OWs9PU1mPbsmaj2ITn09aReCPfnyhj35EZs9ypWMPca+ij3Sh4M9pwSDPXxjgz1CVIw9R5KOPaQOfz2ZDWM9awtYPf13XD3zi089eFZgPWNffz1AdYM95TtyPZJUbT1YfGE9P9NNPZd9Xz3vZ209JA96PacQfT2dxoQ9ArWVPWZ2jj3xqow9mXOSPTdukT1bSJI9FcaPPa8Pgz1biXE9751dPad9YD38e3Y9SgGTPcJRlD0t0pQ9uy+LPfggfj2TSoM9BH6BPfN5fz0HgIQ9tMR3PUmYcT2xGGU9cZdYPWWxRz2uBDw9aMo/PRsyTj23Y0Y9nKcqPfAUKz0qWy09W5M3PeuxRD05NVo9iyFiPVwZVj2jnVo9zE9ZPZMCTD20X0w9xeRVPWf4eT2oZXc9u1N9Pcsifj0wGGQ95cxuPQ3adT128lg9FBIiPXYoGj39qCE9ejktPdZdNT3Yxjw9Hu5QPc/GWz2zrE89uy1iPcoCdz1noXQ9Ta1rPWBsgD30k249x3lgPcOlVT10AF49ZQlgPTSNXz0CX1M9qQpPPQhpYj1o60Y95ENFPfSOTT0W5109JU5cPfjWWT2z+3Q9CTWMPfo3gj0xj2894aaJPfMejT2h/Ig9tyaBPaS9ej3C54Y987x7PYZ0dz1CyJA9fkyMPYLCgz39IX09HSVrPZmUeD1thGI9g1lnPUeSYj0+cGI9k/pfPWrxZj0cmV89zFRlPcHAXz1fdWY9NCFhPdE8Yj3tSWQ9q2RrPQ5Eiz0jhYE9GYVcPVopUD0Fzlg9AvFgPYEHgj1/u4E9tT15PZLNgT0+VGY9/D1jPb0bbD0CrWg9zbBIPWX6QT3sAT89T/s4PagjOD2pBEY9CldEPRbVPD27Qz8999IuPRuLPz2I21U9XO9TPfYCWT3dszE9Y8EdPYwHEz1UUQU9/knuPGX08DySlwo9fQwOPe+GDD1FVgo9vb4JPW9CBj2u0wc97lf8PKWAAD3eluE8XhG/PEY/qTy0dq88RY6iPMvVqDwZLrc8tTK0PNYvtDyAvbY8ic/VPLiluzzyo6c8Y7yzPMjntDyz7qY8U9ucPLPJnzwwa7Q8O6SsPMKnsTxeCLU8gMKrPL2tszxm+tM83ovdPPCZ2TzfmPM8VGm6PI4rvDw8/d485XzNPJ+/uzxIXK88ggm9PMy70Twutsw8KpPQPK6CyzzIfNQ8YI7OPKRytzyPRN089iTzPDYs7DyWD9g8Q6u9PAqOvjzGFcA8JkPEPFANvTxFmbc8JyvAPOY0vTyLwrE8CpSsPIKUxzx9D6I83NyhPDL+pzyeL5Q8n8aePFrwlzz9Q6A8aUGyPCG6mTzOeZg8f/GpPIdZujzvYts8YJbpPNhHDj0yH/s8AfPuPPtZ4TwEJs08E3nKPPzNvzyv5bg8b8K6PGW4zzw9bcM89jXHPHYy4Tw0CO08D5XvPAPh7TxWs+w8OunuPDv+BD1Qagg9Gzr1PNlv4zzda80897a8PLxR0Tyz5dM8wF23PFWlqzxKHKw8qtCtPGAVuTxXV748jWbUPKjG1Dwfe9E8wkzZPGPn0zyd4NA8zma4PJ8HtjwWr6k8Hpm2PFHwwjwwqsI8oPOzPFfurDw7H7E8DTmhPPO+oDy2baE8jsSfPEaVrTxQw6k8num1PB1GvzyEONI8FwrFPB1VvjxP8cE8Lou/PKKwqzyb2aU8QZ+6POITwzzQaME8BGLpPN5C/zz5z+A8s+rCPPyBuDxyOa88ZZG9PJeT0jwKZsE8Fzm8PLKWqTzjvqU8DgmqPNtSrDx63bY8DGrDPMQluTwXUrY8TP6vPOiyuzyNfbs8n+KxPMFYljw1mJg8I3CePDizoDxesqY8h1ugPAVGmzya4JY8U4uVPNHxmTzmUZ08lwGuPKSOujzNrsk89HrPPFu/wjwk+cc8eDjFPMwTxzzzbM48O/HTPMvMzDylGsA884vPPDiQ4DxPitk8R1PLPB8I0zwVavY8GYfuPJ5n9jw/S/k86PviPEr3zzxw7c88KRfQPP5M2jzdVOw89/LzPPW3AD3Zqe88hvj5PA/WAT2QUho9fNklPfsHJj1+YCk9CqovPXz4KT0ooho9BukJPeE6CT0LRRk92mAfPbvxIT2xPBc9FCEjPbaSID2dIhM99OkXPbwuHD2rGwY9jQEHPS1VDT1GHgA9KZPrPJVt8TxyBfg8i3EBPTOdAj30cgI9IBMAPTDt6TzVtdw8MejuPDD5BD3BTQI9QzkAPcEeBj0gTAQ9iIkDPRwF9TwkH+g86xv4PDI79Tz/DwM9m44RPbQ/Az0xQvI8Jj33PJE9BD0k3fs8eavvPF32/TzUGQQ9tf0EPWSIFT2QsRM9kHIVPYSqCz26shE9Q4oWPZHEIT03hyY9j/kcPS+QKD1OAx49T3MaPX0hDT3j9QU9KgsEPX/OEj3NMCw9RYMvPeh3KT3m3iU94k4bPZ25HT1bdx09CIsPPWbKFz28mRs9Fn4aPYelHz3f2RU9TlsMPRPIET0j0ws9GIQXPQmlFT07WhY9R6YdPWcKFT0RDQ89LiENPZ1+CD09NAU9q14MPUZJJD05xCU9IS0iPTQHGz1BEgc9l7IGPeKsDz3gpho9ipocPRV2Ez0UGhs9ZR0WPY18Fz0KYws9fNMEPW0cET3ZRhw91XEUPZziCz2KvwY9QmsGPQejBj0TMgo96c0RPTnt/TyGVAA9B2EDPZZPAz2J/hA9rJUJPd6U8DyHAu08rfPrPIF+2Dx+gsQ8dn+pPJH2pTyXLaw8FO+yPLC2pDzmR6I8mW6pPJUvrDyOIaY8GwORPPjNZTxH31I8aXZmPJC7YjxL2mY8lkp+POeDlTwCv6487CbDPK4swDwYn7M8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3UAtTzC00M9ZymNPe0Giz1Jonk9lAqEPQSbjz17+Is9102DPQZ3kj29ZJc9DLyEPQt0Zz2HpVU9yINoPcCJaD0ZYW8936aAPb9YaT10HXY9qLSAPSj1jD3wL5Q9/G2fPVd/nz3sfpU9BuqAPRhniD0q7Zk9QZ6aPXgbhj0Dj4k9pfiLPeQZdT2v4109yZtVPdsbTz3+x0M9iKhYPYSpXD1ye2Q9XjF+PZ1tgT3LM4A9c/9iPcr+Uz1GCmA9NUptPcebaj0b7mo9oEtlPc+nbT1LFYo9ZQF8PdlwaD3of3I9mGqNPQnqjj2TxIc9JLxpPbnRSz3ffkA99+RBPTzYTz1NL0w9BgdVPSIQaT3DSWg9wPNcPdhEXD0WlGw9SJl5Pdo9cD0HOnY98kaAPQNLjj2uD5U97XqFPcThfj2ZPms9uGJnPXWacz2NmYA9aEJ6PbRjdD1tO2M9RQdKPXkAVj2PBFw9uKxZPeC7Uz240XI9pp9+PTv+fD1u3lQ9XqZgPd7HbD3VDGU9rY1+PcqHgz2dJXA997VvPYzdgT3MmIY9IB6FPf+RiD2SKoA9vYdpPcNOWz0R51U9C2tkPcZHbj3gyH49CKaAPR+Vcj388m89vtpPPZ1+TD3kzUg9ei9OPcWBZD0TWW89ZpZvPdAEaT2r1F892+FjPelbRz1sojE9NtIxPaMyIz0sFiA9LXklPYIbJz2aKjg9xFAxPcjfMT2TpDE93BY7PZp5Tj3t0mY9o5tkPXz7bj3Ws3U9T2NwPQfacj1qnYQ9filtPVngVD0IwlE93sxXPYKbSD0DSzs9uWIuPTLYMz2wvSc9wOAzPQE0Nj2J6EA9w2cyPW6+PT089VM9ScVaPWLnWz3DIGM96hZiPaHxaz3g4II9UaSIPQPnbz2O3349EaeEPcEpdD1UHWg98LhTPefNSD3y/FE9uT9bPbKnTT2MUFs9H4dXPRsgWT3QiYc9CemWPaiSgT1Idn09EAiTPXKgkD0S6ok9wdKFPYeGhD2X2Yg9EiR8PaY3dj1KaG89+q17PTPqgz0LdYA9VFpnPdCdbT1FD2s9KitYPTNGWz1rHmQ9yFhcPSGOSz0wTFY9m5toPVZZZD1F7G89UQxhPa7haj29QXk9YCdoPSMwXT3Kz1o9ERljPZlwbj1+0mo9gzdvPeNwcj35yXA9s6JiPcuLUz3LNk09u0RsPchCXD0OVEk9kUdTPfidUz0TyFE9hl1LPfI+Qj2FpTM9oOg8PZQAOD22JTI9nzJAPbc2XT26tlA9tZQ2PY4NKj0SWio9whMwPe4+Dj2zEfM8JnLKPLT92jxBO+w8xMvhPN1CxTx+t9A8Qn3YPEe14jw9ktM8ka+3PKHerTyTf7Y85oauPKQZsDzzRLg8CfOzPBXyuTzJArI8OIO5PCm8rTwCCac8bOSqPISZvjxxK7U84RfEPFgcxDzkf6Q8dhOePOPOozx6urQ8J+2/PAN3yzygBrE8N/2ZPIjrsDzf+ck8Zn3EPDFYxzwxXNA89Oe2PH5MwjwlqM88pnW5PHV3rjzt0LU8ZuqkPMzrujwOdNI8GOPMPOK3xTzv4No8HbHYPHgR4zzGV9Q8SPvXPAMTwjyW2L884Tu9PKC4xTx7ytk8dKrIPKuXvjz8xcc8CGjkPNYT0TxfBL08pD/EPEK2tTyXYrA8WvCiPJW8nTzioJc8XSGcPDDHlDzn3Z88XHibPMpCiTynsJ08wwvOPIBY4Dx+8+I8mZjxPGu6AT1VI9c8KRW7PD5IrzyUyMA8jyHRPN1AyzzJccQ8n9/WPNmV2jyen9U8B5bgPO545jz1rPE8CMH0PNtwBD30cBU9WfoHPQNG/DyCbf8870TfPK4x2jxwusk8+Xi9PNPhuDx5f7Y8pf2wPP3trTyiOrQ89O7ZPD9b3zzn49s8KJTmPLdy9zxF6O88JVjbPJMR1DyfwMo8NJjIPJmmrTwvvqM8q8uhPAA2pjwF1MM8S3GnPJqijzwAyaI81aGgPLDapjz5IJw8JLicPM3GqDwAcsU8C0fUPKRlwjwPg8g8EFDKPGc/sjzs+L08pcLDPGvvvTz6Q7U8wYnQPGF+2zxt8N48Tw3IPHjE4zwxtd48baXMPFfVxDzksbY8lfu3PGVVwDwZNq880sehPAsPrjwanpo8bUylPDSqojzC1L88AjPAPGxmyzxwoL88B0WtPHl2tjwNyLw89em2PCPUoDzyf6Y8bSKtPFulsTz6CK08Tg+mPBaysTzjcKo87yyiPGPenjyvrKc8eTKnPOEOpDxI0KY8Y2WsPFSExTzMQtI8b2/UPIuB5zzyHNg8aiLMPADt3zzyHOw8JgHtPMB5+TyYQ/w8abLjPN8S3Dyq6ec82cTVPI9c1Tz7ou88N0AFPbWD/Dzpx+E8ntjaPFQb5Dx7zes8vwryPEj07TwbE+88V2sBPR4cBj00vB09F58mPW8wJz2h/Cs9WSAuPepzJT37rig944giPcZPGD17hCg9scIsPUK9Hz0FKxE9YpkNPVtiFT34mh095u4WPWtWDD3OIwo9u2MFPeT69zwiwPI8KK3lPC/S0DxgMtQ8d8HnPBCK9Dz34QI9+8wDPTSp9jxEfvE8snfuPPt3Cj2dNQs9wWsYPeC7Ez0iJxM9a/IMPSaIBD05iAU9olcLPeiiCz2zKBE90E0SPQqu/jwmj+08zrH/PHEyAj0rvwI9PsoNPVXiDj3WlhA9fZwMPWdqDj1snhg9LTATPW0A+zwaFgc9w48VPfx/IT30vAo9uuf2PMKqDT1XmxQ97o4QPVcoFz2qKws9284HPZ5nFT2ZCR49AOkkPaGDLz35+DI9WZ0zPcAEKT1hPh49fIoQPembCT3W8gI9rUkNPUoJIT0DuxI9CcgLPQdBEj1FRRk9lEMYPWVoBD3ksAc9drsXPdVoID1nDwY9Uf4BPZ+iCj34ew096BEiPdUhIT2nzQ09LloDPQEuGT0yFCI9x1MlPY4tET3K3gs9HiUZPTonGT23LCE9n/klPQuyKD3TCAc9KubzPPPz5zx3guw8T1UQPX8KGj1lVg89E5sJPVLY+zzOyAM9ZXwHPXKF8TwF0fA8HRL2PDec7TzDLOw8yHjoPDzozjzuTcY8K0a8PHUguzySTrI853SWPAo0pTysJK88H7CqPCuxnDyOeqQ8qke0PGHKszzcs6I8goqEPO4EYDyh+ns8EbRzPAYgbTxvXoc8AQaYPGDPszzl8c88oLDdPOAH3TzORuA8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2aw7TyeWWU9f0OIPfD4jD265Is9zqaEPXZFiD2XN4c99xeMPShUiz3XMnw90fhbPaQdUT1931c9SUlYPeTFaj3VCGk9avaBPYrvfT2Q2449z6CJPbXkgD3JR4k9PjSaPX83nT2qWYc9ZH56PXJcjT2Z8589+lGWPSRPhD2UrFU90KZLPfLUTz2A1Uk9o2RNPQOpRz2yK0k9T5tkPZ7eaj3eAmM9UYNqPUnWhz25EX89pOhzPU2Sdj12bGw9g49jPTJLZz1iVmw9AyZ2PZC/fD27DXU9+jxoPZISZj1Z7oA90TeJPSA8kT06jI096LdlPWlYQz22D0U9YUJEPbxNUT3uI149ZU5XPXqGUj2Gyms9ZcV6PSHLcD2u9mk93CKCPRIhgT2h0Xo9ziyEPWSbjj1XXIw9aImDPZqyaT1QlVI9EtxTPWCJWD2fimA9LAaAPcQmfT1DfIE9EYWFPRF7dT3rXmU9Uil+Pb0wgz2gCoE9BMt7PUi/cz0IImg9FXhyPXG2dz2HGoM9E/h7PenwYj3Pf4Q9ndeIPQJ6iD3Gy4c9bR+APaePhz1l0pU9MtSBPb5Ycz23tFc9F4VXPQAKbD0Wx189KTBSPffBSj0ToEE9BABCPcm7Rz1fglM9K017PZSyez2GJWs9OXNlPfXMYj3ks1A9V4lMPdLYTj2p8EU916tQPRteMT0MMCg9kvw/Pa+ZOD052iw9vtosPf/tSj14f1U9NfFNPRLoVz3zD1s96NxfPZEoij1X4JI9YOeYPajifD2iFWg9G/JZPdk+cT3ITVQ9KxBHPX1SUD15VEQ9bwIzPb8zLz3cQUA9loZFPZOZST0uaEs9SaxRPThtWD3Onk89zt1ePcQyaj1cd149mhRWPQ6bYz3DU389KCqJPU3fgT0ZWmA9BshPPQXrRj2MZEg9LrtHPf0fVD23bkY9m8NMPd6xWj1dlmU90rFsPchLhj1oZYI9P7x2PTZyfD0E8oU9HZ2LPanvhj3G3oE9GExyPX8obT12qFo9+B1GPRkGTT3fz209ght2Pa0fbj0ks1s9/w1lPQ57XD3oZlw9leZfPQgxSz2j3Ec9aPlRPRJbUD3U7FY97d1jPSlYXD2+jGU9iCtmPR/yZz0MSHI9VYJuPS48bD0NXG49vrVzPVx5gz2l3YA9at1sPWDoXj0ywF09uS9DPc8wOj3OM0g9OyBcPeG7Xz0WLmU9LcBjPZBcZT3T+1E9XdtEPVTHOj1mISs9MSU1PTrGNz2HJzY97wlKPS3MSj2U8z49nWNDPR2JSD0XyDU9OAQpPZ5UFz25nhU9BkELPdk84jz7ZM88kE3FPP8u2jxfksg8OxuxPOEVrzyQnLk86CXKPMlSvTx06a08FxqiPJxaujyj6cc8Ad6zPP8dsTwGp648S3O/PCxdqjzGnq88zk6qPLn4sDz+PK08KZumPHzszTwKvbo8J6O2PPSStjxTBcY8aUvMPEht0jwHfMc8HCusPMdLqTxUKLc8lBy/PL9Yujz7w8M86z7WPCzFwDx8+Lo8w6qsPIzCpTzKO7I82rO3PEmWuDwJrLU843LLPG6C7jzCo+o8sx7mPG437TzbDdY8sJDTPBlf1zy5YNM85YDLPFd+vTz8QMQ8cpPRPEJo3Dy1R8w80UbLPOlGvjzOcsE8Co+8PNeJrDzWdKQ8SvGUPD+6jjyk0Zs8pJyvPAxNtzxZR7Q8GwurPCybqTyu8Ls8mRjVPKaT6zwjLNo82CHJPL4gzTyaNcg8F7u7PHsMuDwJH748AAbHPAj3xjwdN8g8LoXPPG+00DzS39o8BVPjPJC0/TySxAk9AvUDPX+FBz24vww9pujzPESy5jwIBt88uZ/UPD743Dyh+9A8Vyq4PNSZsjxeh6s8AbqvPIV7sTwwYr48qF++PFQxyDxudds8kVDdPNIn+jwT0+U8ZkbVPFZNyjx7ANU8DUvEPGv+rDyXJaI8GK+KPNTAjjwptZc82gKJPFwZjTzp/Jw8wUOMPJc+gjz7oaE8kyylPMLNpjx10ag87pi4PH6gtTxt36M8aoOsPOQGwTx1w7U88uOmPLKqszzpw8o8E+3KPMmIyzx0uOA8t4HFPPGAtjwYMMc8khDFPBB2rTw1KKs8ZXWbPEDPrDy9Jag80G6sPOC3ojzGQaQ8PBS0PNBDvzz2Lbo8pmK5PMPhwDx0os48DsuvPIFsqTz4qK48atmvPCoYozwyAZo8uE6cPJ/6ojxgmak8ZuGuPLQYtjydxMQ8L0vKPLeTuzzJVsc8twe+PE1EpTzsma48T7i1PP3axzxxRL08AOTlPM+l9jxLd+A8fCniPDqt/Tweevs86UL3PDE18TxMn/s87i3yPG354Tyi1c48ZN26POaRwjzVRvM8vMjgPCqC5jwVJQI9TfkCPQYhAD2GBOM8pVjhPMxo/DxgDAA9znz7PPs+Bj3rZyM9qLggPZ9SGz3rYRc9ougQPRTDEj3CGxE96FYZPeKJIj0Y+zA9D44cPcOuEz2xWA89uVQLPQZPEj3p2BI9ie4BPZ9a+Dzmoeo8VSD1PEj5AT16R/U89UjkPGVX4zx0zfU8xRXoPDjG5jy7LPY8Kj0EPea7DD2JfBE99kIJPaF9Cz3BcxQ9ktclPRv/HD338gw9xbUGPXzmCz0FCRQ9xFsQPXvQCD2wev08RYwDPdOJBj1Pvws9tF4PPapmCD2QnQ89ejwYPR5wCT2ViAg91RkGPVvEET0uahE9vcUNPTQXDz0yoRk9b6ojPV6+Iz1xgxY97D8LPWFOBj2R4wk9HmkEPSNHFT3d9g09SeMOPSNqFj25KB893IQcPcD5Gj0TVSg9GDUqPVlfHT3iGQk9sxYaPeidHj3JdCM9mJwbPbf8GT2ZkR49IRkbPc+SDT2zXhk9lRUZPaepBD2G2gw9F7wcPZQmHT2jHxA9ULoLPUJp/TzAI/Q8GB/+PBvfED1ABh49R6sWPRnZIT23BBU9L68FPWpq7zwwRwU9/IAWPXBnJz1M8CQ9jE0aPfs4Ez3Megs94Bv7PCG36zzLWgY9J3kMPYdUCz2EhQE9U8EDPfdp3Dx569M87NXZPPAxyTw6wck8sv/XPJG93zxmAdE8lFXQPMnJxjz5orM8uYiwPEGpwTyc27o8lYOgPGqTozygH788j96rPP3OlTy+t648l0W8PAlevzyIgcI86/GePMwghzwCw3g8W293POIEhjzifY48waOpPPuKrTwfark8vxfRPApK4jyk7dw8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/iRKCPAcpQj0RIYs9qzqFPXnglT1HVIs9KidvPXMUbT2RaYA9mYmNPdz2fD10BWY9qzFWPVrpYT3C2209gRtpPU1YaD2fmHk9RgSIPdm3ij3XgZQ9dKCXPTHYiT2A1Y095Y2iPZGyiD2hrms9yD+KPTVdkz3ywYY9NLp4PWETWT1FllY9xPhGPY7FTj1qh049/hBSPbcaaD35i1Y9yhZmPWKabT0fLWk9jsd6Pekpij0BRXQ9u+ZuPSbBWT2O21Q9vDdpPUi0gz2zcno9l5KGPTpIdj0d8GA9bGWBPQT/ij36AJA9gqONPYczeD2xrl49FLhTPRMWVD2doU49YXZGPWa4ST0ZpEY9G1ZVPXv5Wz3VlGI9Ogl8PVlzhT1krXQ91c9zPQkOhD1m24c9FCWIPVx5gD0I72E9wE9ZPSqJXD3zmk494ONaPWf6Xj3mYl49KpR5PaGThD1RlII9wGV+PacLdT1Ik4A99UuOPfDxiD2ltF09WGNiPSTvbT2YuHU9RihwPZtcej0Szok9gmGVPfDrkD1CEIc9gXmSPefmlD1mJ4s98y+GPVadez2Lvos90X6APZDYaD3DzVs9t+9QPcTLTT3joEE9Pto8PXOnOT3dYUY976BUPahEUj1Hk1g9bD9mPTIeaD2B6FI9riZgPRecYT09VUc99+REPVXKQz2d6kU9//ZSPYHhTz1Id1Y9GqxRPaqZSD3kJkg9WIpIPTBLQz3vg1E9stJWPRPlWD2ds289RTZ8PT/thz2Mb4w9r8yAPRsqWD1JeFc9BEdSPQXHWj2yUmQ9W51WPQCmSz27gCg9viAcPQL4Hz2f9is92686PSnzUT0pvGM96C17PRfMgD15dFk9gjNfPRvQUj1bDVU9OyJcPQyvZj1nIFs9W6hGPYh6Lz1FHjo9pi9iPYDXZz3HjU09fldRPUdEZD3s4Gw99xNoPVfufT1ZLIM9UMuDPciDgD25xHI9kdBjPf6Nej2A1XQ9HFR0PQHRcj0YnGM9jJZHPREERT2kHVE9ZFtbPRjyaz1/eoA9udRqPbl7Xj28WUQ9ec1TPa4uRj3iDkw96kRUPb7+WT1zXEo905daPdKOWj1KPWM9gP53PbzvZz3D0109FflZPXXEdT1mcXI9MlVuPYtrYD1h8Vc9YVFnPZbCgj1Kg4Y9bgdzPf70XT1ffFI9B0dSPeIyTD2Zj2I94v1rPeJ0ZD1iflw9ChxNPZQNQT1fB1Y91ZNKPQpFNz3ZVzc9pi4sPR2CKT2YgCI9dj8tPQFaPz1rykA9ad40PXXwNj0o5CY9JAsZPRJHGT2DPhY93UEFPWQK/Dx6e/A8HGbTPBgxyTwKo748BdmvPPwMszzqC6w8gVu7PN3fwzxOzLo8Dxe3PKjgsjw94q48RIquPIwHsjzHnLc8MZrEPFYQvzwIo7o8LGCnPK7/ozw7KLs8FB3FPCJryTzBkbo8JIzBPLaEyDw+98E8efK1PIfqyjxrybk8fNXBPIzAtDxlkbc8KJPBPC84qzy1C7k8SB+/PHCppzxAZaI8WxmlPKVWqzwUnLI8XianPGKcqDxVyrg8E0rJPOoj0zwezuc8Cl7TPB/o1zwGJNc8JmHtPL5I1jzxCtE8AULCPFmo8zxXbuc8tXfGPBvusDy8YaY8rbufPJMXnzwcO5w800KYPKOaljyIy6E8MF+gPMmCmjxuaYw8x/ecPNx0uDzmotY8IWbVPBqN0jxGts48PiHJPFFQwTz1qbs82gq7PAKzrTzV0bc8wNzLPLEUyDy3lNw8Gk/RPNTetDw3jK48PUC8PA0r4jxR3tg8HZbUPLdT1zxiBN089un5PDG7Bz2sffE8KqvZPBKa1zxLTt48r87PPKwhvzzaBbE8F9ytPMt+rzy09rc8aQ6/PN8xtzx7Eb881GzBPI9JzzyGrNQ8jbvQPGTD2jw3Jc08KJ+yPDOGvDx9HrE8BZCsPAMFmTwoxIY8y6eIPGGThzxayYk8VaqTPDoqojxXIpI8y/mSPJIsjzwrTpM8FKmhPDHGpTwsDI889K6dPIc5sjyW0bM8qaC4PKEgvzzmlKo8LZCuPBLQxTzzy8880WrXPLDm3jxll8s8Ir/JPFVi2Txu5OE8dli8PC8jqjxBdKA82rimPNljsTxH8a88VzGuPORUmzxnF5M8gbyRPAS7ozxLALk8TsW0PG5mvDxIusQ8YXO4PJNTsDzgebM8JpapPEmeoDwfA6E8IRmgPFYetzzYgbo8ZJq9PAmoujxy0Ms8jJ/PPLgezTzFLc88X1jTPNVTwzyqIbA8/r+zPK2LyDwVLuk8ZCTlPNjK5jwqu888mpzBPNpHvzygZcI8YE+/PJgQxjy5Nuc8hF/pPPn6/TxIqvk84Z7iPE3B5jyM/OM8rDjTPGh+3jwabQY9U2sZPdlbEz2mJxE9dG0BPU2d/Tz1Ew0908kOPYniCT1xFx09ZjIWPdmmFz1O6xM9ukcXPbvzFD3q0hQ9TqQWPaCUHT2qqSM9yogpPX0kHj3F3BA99LgEPdI9Az34fQY9TS8IPZcq/zx97fU8CI/uPIr/3zz9ht48kNbvPCwwAj2ssgk9mZL9PKzG+Dxxhv48DMkGPX+oDz3ZrRg9zZYIPZcrAD1j0Ok8TCT/PN6c/jwmBv88dkoFPW+6DT0Hq/Q8YbHrPDBN/DxCWw09MkYfPfFpFz0Nhw09+Z8KPZLwCT3LPRE9ufENPaOyCD0/agg91wMRPdXyFT17Sg49t0AMPczhED0wghM9hrokPdwbJz0dPyQ9CecRPfRHDz1/6RQ9yQkPPS2gGD1bLA09qu0QPfx0FT31mSc9QAkzPfYDID1MzRk9kakhPSsNIj1F4iE95VElPfvaGT1g0Q09B2oRPdv7ID1b5Sc9QXQmPfMRGT1EoA49QegGPTRBDD1v5Cg9IUIhPYuuDz3bFRc9nZEaPb+dCz2zhgI91tYBPSBEAT344RA9txYRPZiXCj2q5+08+sjhPJWr/Dxi0gk9nwUfPaBHJj0aeiU9teYFPTNH7zx5vAQ9G3cKPX4dBD04jwQ9dwsEPQRp/Dy9WwE9m0f8PHDV2zwiCr48HEa0PGumsjxlwrk8VwvGPHFAzDx6QtQ8vivRPC6crzzMUqc8bCe8PAHpwTyBmKc82PqiPPu0rjzat6o8+e2fPPkwljyhTZ08R9KTPEvsmDyPIqo8vCq3PJd/kjwfJ3Y82jt1PPTyiDz4ZYs8G52WPAY/pDwasLA8qce6PPUYxDx2otA8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/lDXgPHOuRj0Wi4g9hf2PPe0Fej2wpWg9dQ1qPSrSfD1xtIA9mkqLPdfhhz0nT389aipsPQ4aYD0apW09g1JxPdrCez2u+HM9l+FyPeCkgj3j2o49p7iMPdMOgD3syow9btyePZm5kz3R7Y495OuKPZmXgD3VSW09dNRVPZKRWz3c2V89x+VgPWkPSj0QcU89XhdTPdonVD0EqGQ9idl+PU3Vgz23wns97cyLPQRSkz31P3s97Y9gPWqMaT2PvHU988GLPXfhkz0XYpk9dE6HPdPghD0xLXc9UlqKPU1mij3CcYc99KGDPZAedD0suWM9oqJJPVBiSz1Fc0g91QVWPVw0Wj3LVVE9f+eAPez8iT3oN3c9H3BmPbCaWz1eL149Ilh8PaldkT1JqoY9UyZsPef6WD3QnUw9kthQPZphXD3fS309z/KCPa3wgj0kVWo9qt5gPf+2dD3jZn09U6GGPbhNfT0pfmY9CJ1XPUx4WD1RG2Y9sh1+PfmfhD15xns9yzyMPWGzgz142nw9haCIPdYQlj3mUJY9b9+FPa1lgT26Imw9WSJoPaBmdj2pW3Y95lRrPYFwbz0kHGo9mDxaPcx2WD1dpUU93clGPRrfOD3D1jk9mp1NPRHJZj1HPFs9vy9LPRHAUz2KhFc9m1lFPWf0MD1+KS89BG43PUMtNT06XTs9HsBIPcM1Wj3NRmg9rhRuPWIHhD2aoIM9DIGEPatcZj0f3WA91SdkPSm/fj2U2Io9dmKIPY6+gj0QiX49rmxqPULgVj2usFc9wcJvPQqjbj2qxl09vwdMPaSMMT1ITTE9Q982PYvTOj1Eqks9/gxGPbOeVD2PflI980ZoPbjmZj0Cf1g9ittRPQ7VVj2zKmY9OoJdPbHWTT3bFkk9j/84PdpnUz3g+m49+lBrPUJyZz0QFXQ9PIeDPdYHfj3DpWo9lOlXPcLIWT2aemE9QghSPQ5nUj2rolc9lS9aPT1Bcj2fLHc9cIFYPeG1VD0SElw9+kpXPSBeTD26SWM9RfNqPbcicz2Kkmo9+xBPPcEGQj22xUM9u/1RPVblYD05j2A929JlPRB+ZT2WGmY9FlNsPWUcUz1H21U9PjFuPaafbT3FK2A9b31fPWmpUj2Ynlk9gj5RPQigQD3EP1c9cB9yPQandj0TLXo98yZvPfyneT08BnE9MYJwPa1/cj2pXXM9mXd0PU3JXj2J9js9Dm44PaTdRj0Kk0M9msBMPVFvOz2Wtio9ziYuPZU0MT2x1DM9aZAiPTCgHj0IQh09SWUgPbuTJD2TvyQ9DIAgPfMZKz0ttx89oqH0PH+4zzxdYdc8lxPOPGETvDzjx788HHnDPBVruzwmYa48seq7PF8SujwgXaM8EsTCPLDFrjyO17Q8gszAPKmHzTxe9748+EW7PMODojwll6o8MvWcPEmbqzxp4qk8uImyPBrkujwAILo8c6W3POIivTxCx8E8WSXJPKta0zz18M08ZI/IPDXlszwina884Hm9PH78tTwDm7s8+BKwPDs/ozyWbJ087zOjPIG8sDzFU8Y8l5i0PHp3rjzHi7U8J+q8POzwzDwvo9k8fs/EPM1UwTwF28s8ABHBPHIvxzzCONE8ml26PBZPwDxyNcE8NsilPCf5pDyvras8q/eiPK/AmzwFfJw8cKOdPOYwmDzjWqQ8i8esPHV/rTy9zrU8Fs2uPLXtrjwcENU82m/QPPZNujyLOrM8sRSwPEXkxTzq8r88YkalPJHgszyIn8g8xkrJPDZLvTxsAbk8Soi/PJt9xDwEFMg87AfHPCcs4TxfDuI8iDHSPDmb1jzU3ds88F31PPoTDT3de/Y82J7aPAod1jyXJ9I8hKXJPBohwzwTd8A83Ym5PECHwDx1aMc8IYewPKMDqTzZ8ac8O9GvPGWMszyS9788QYbHPHj9xzzq9bU8M7e9PFNWujyW36I8TeiWPCMwlDzIGpA8beqQPMCXfjzYqXo8k1CSPKlCnTwzQqw8312cPNH6oTx1vbA8p+bJPEuhxTw19Jc8gqKdPGuXpzzTRcM8iEDJPDan0jxHR7g8qfOyPMzStDxniNc8rkHiPHk72jy3E8w8Iu/APDy5xjwh07U815m0PLFztDzSKqk84ZC1PKF3qTyDZ5M8Z7GZPBwmmDwLspQ8BmiSPE1KpzysPq88fLasPDNbtTxyGKk8PSu4PGeXuzz13648suOrPJiTtDyELrI8Onq1POV5zjw0U8Q8+R+6PL9PwzzpPs88KI7qPJh11zxlVeQ8fhLqPJQQ5jzXz808TBTKPDJMwTw6OLs8B8arPJvipDxJ66o8OF6zPOUUrDwftLY8G6DKPPbD0DxHnO88LCv9PPgI/zzob/g8ilr2PP/oAD1w4AY9ovEAPQ6B9zzT5QU9UqgOPRgEFj1aLwo9NC35PE6LBj1n7Ag9ro4RPU1IET33SBE9iYgKPYGy/Txtmvc8BAoKPY1bBD2SyAU9QHEPPUIVCD1LnQU9DHUGPUhkDz13Fws9S6cNPaWCBD14egY9wCEMPWJV9DxJwgA9agMGPR8hAD0MGAA90skNPSmfED2Jgg09RrAOPZgCBD196gI9DncBPV0AAz25Ogs9wjELPWaMAT2b//I8oloBPXf//DwrlwA9XcntPIhM8jztIwQ9rOQNPeGZCj0P0gk9V2QQPdJRFj0txRM9tCclPVRiFT2iPxM97UEaPcaoHT0FYQ09TSgIPZQ9FD2UeQg96REHPa2YBz0PeBI9ZP0SPZ7wHD0Dph89tMYOPRXLGj3s7RU9r5MMPUebGD3wXB89H7QYPfjUJz2aJS09gMYcPZpnCz3DIhY9kQsiPUA4Iz1wtDc9A/AtPZDvHj2VJiA9d38hPWFEJT1xEhw9C6UXPZRzCz2OpRA9oRMZPWB6GT0nrBI9gSIVPUS6Ez09aRQ9pPAePbIGMT3X7Rc92H77PH6k6Tw6aQM9f+UTPT4s/jwa9N88gGfcPNHeDj08fBc9VDMaPXM+Hz1vEw89OwXrPDkq3zwOvQA9jBULPYfPEj1s1gc9xroBPRdv5TxRgOo8/tjnPA29yDwjJ688Bya4PMUSvTyxy7s85kq7PH31yjyMZb88b1qYPO3cjzy/Zaw8SEXKPDNCsTya34k8SlpqPCQagjxRdI88Kk+bPIKgnTyxYpA8MzSBPMY+ijzY9Zs81tiaPHyumjyxBqM8e/SWPPx9kDzmwJA8bkiNPG92lzx116I8B361PF9oxzxfYdI8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/j5sUPZ4SfD07ZoA9WsF4Pe84aD0q92g95wV6PdtyiD13OYQ9mKGYPR11kD2WGos9pqmHPfNLYz2ueIg9IW2SPdoDlD08poE9y+FnPbpnjj136aM9+1SiPbVNnT0kaZ89vnySPU6mfj1Fq4k9KNqAPXHSfj2Vu4Q9Z1FyPUVDXz3B7mE9tGpgPfj7bD1uuWk9Av2MPZbOej3isG49xlqBPTCklD2fwZU9PdmKPT2mgj0QUII9U92GPXAyhz3IspQ9CtCLPcOjkz1jGok9QL9yPdLHcz2TOHM9G3+CPfOqdj26NXQ9DfxpPbFxcT11dWs9KCVfPTGAVz2GilA9MfpPPVq+dD0+dnU9MF9vPQGLbj144GY9Z1RePTqpTj0+4mM9Q/NrPZykYT1+rEs92GxPPV1vYz22LIM9DJB7Pbtzaz0n2Iw9bISfPXAPgD0skGU9GYVsPYrreD3TmXs9ri1iPUKZTT0FSFM9ce9uPbuoaz0rH3g9iQJmPTaoaD2TnHU9hXuIPWNsbz2ui109Cj51PZlhcD1s9no9B3JqPX1NWT3paGw9yzZwPe4DYz0minQ9vaeHPTAEhD3o1YE9GGaLPR1wfz2GKmU9NxpbPcGLTT1pn0k9pnpVPflTXz1skV09h+JdPQwqZz3Sqkg962A9PRcYSD35BUY9b90zPVQ5Nz12CkE9liBFPatnaD09S3E9o9FwPfHagj27mYM9jzOAPV4deT3X6nQ9wHpzPWD/cj0IJnU9I2xnPftAcj0qBIg9gOGMPfVSgT3322w9jatYPaduVT0m1zs9X11DPXhESj1qGFQ995FRPaL6Yj3sXVs9RfNSPTkUaj3yNmk9lfpuPedEej16ZHc93uNXPeysST1zSFQ9I9g/PfjcOD37AFo9dhJhPQwxaD1HTl49JzRiPZymZD1StV49xqFhPeyATT2osj49S4dAPZVzRj3IiUk9xkBSPTFUSj2VM1o9gXJ1PVXrbT0wM2g9x+10PTApcj0PS109MG5qPRnBcT20t4I9u5uBPe88bT3QNFA9UDVbPcZFUz3ayWE9YW1ePY/Naj1sG2Y9ESVaPQ+KVD2nYlE9hohlPXRMcD3bg4E982J1Pd09YD2PzlU97MhWPS+RXD3zu1U99RdtPVehbT06x2U9z8xWPUd/bz3O44E91tRxPSkGfT1vxms9LqthPWptYj21yU89YuFZPV0WWz1Ml0c9Kig6PTv4TT3yC1c9AHU5PRF7OD0e/T09B7o3PdsPMD2qASI90konPZO8Hj32Txs95n8SPRqKFz2HlPQ8Idu8PGfjuzyy5LA8A8K9PMeVvTxHC9U8zQnJPNtbrjxykqw8EO7tPNSP3jzzUbM8P2jKPKmJsTzk96o8JxnRPPqJxTz9m7g8HYLRPDABwzxcQco8Q47BPLQcvzw/V688kti2PJc+yzyFG788ZDnTPI8w5Tz3/8c8YxbtPDY1uTzWP7Y8A47DPAWz1jz62c48TsDPPFy9uDy5iKE8E1KvPBAbwDyYpro8EEy+PDecsDxiVaw8KKOqPPn2tjwaBcU8U13DPP8qwDym3rM8jzWcPJlNnjxAPaU8zuCzPJvFyjyXbsY8cDvVPFhu2jyUUNA81A21PAZ4rDxFtaU8maWWPJ/esjyQW8M8+MOxPCJTuDxmNro8LeWiPCIfpTx4BLU87njHPENmsDxiJrY8TZW1PL7DsDwsQL086z/SPJNp1zzmz9I8jcjSPEeBzDzOh8c81hfNPGp52Dw769o8ZhvqPGZR5DwNIL88sMnQPABlyDy+L9Q8fJ3dPJoE0Dz8l8o8LWTPPNEr4TzAgOc86IT1PHuTEj0Z9BU9VUwCPbM+4zxoQOY8HafZPHbixTymjqQ8KGmhPANPsDwdEcQ81CXHPEdKvTwLYrc8Bhq7PJLawzyqSLY8KditPA/Zvjxcdqg8WJShPILAqzwzT548UfmZPO3rljyyjpI8FG2LPGJdjzxqzJw8yTOqPMXYtDwqYqg8L2mzPJVZxzzURcI8dtbEPAEgtjx6H6g8J/KvPNt/rzxytcI89RXLPIRwwzw57rQ854etPFBRzjzNA+08WKX0PIaL6zzEuuk8GZC5PD9dqjx866o8Biy1POeuqjwQ1K88/vy1PBdqpjz6L548oNKWPGGtkzzn7aM8IrWtPB7EoDy7Qag8skCoPPoEpjx7OZg8FdmZPLz1sDxsZLA8pP6uPEGQuzxarq48CBSzPDWYvzxa2cw8nSTIPKdMyTwTaOQ8xaLLPFod2TzD4Ps8pPPgPGXPwDyXlMQ8f8fEPDd/tDw/JZ083niSPDiemDxy66k8v4G0PAioujz9DNE8ZzjZPDVbAD04kgU9eyUAPX4hAD145Ao9XOEDPT+m8Tx0pAE9qIz8PImT8Dx8tP48eDfnPCJI7DxWFfM8yYQFPfStCz2fzwg9OvYSPaR3Ez2Yuw49m+URPSQsHj3uwhc9p9cJPVvOBD2P0OQ8zbvpPLMP7Dz6veo8RBUFPU0TDD26uBg9yjIRPREo+zybofo8m6sAPR9/7DzfEfc8X8v5PCRr/jwDpwI9/g4DPaQu/TwJxf48IhUHPRiWDD1dSw49OgkDPTjO9jyPWAU9uPwHPW1TBD1jRQA9+MwHPbdK9TzspAA989r6PDpU6Dxo+P48WM8GPdmmAj2H0gE9b7ERPTVoFD2X8RM9aOsePSBhJz384Bs9f30bPUUEGD1jqwg9y+YDPcvIDj2jmgM93CIFPR+KBz13oA4936ULPYy/Gz3Q/xA9Rc0GPV+oCj0t1Aw9RikRPaSKET0edBA9NzwZPQmcGD0uLhQ99yQhPdcTGT2t3R498e0rPY1pJj0xESg9+6ooPSY6Iz3asSQ9ObYcPRXJHD3HCzA9ayAvPZu/IT3hix09S1wgPaEtDT0B5xQ9XAoUPbvMET0L8h09JoEfPU2JIz1InBk9EcUMPeYQDD2LSQ09SXoKPbMnAz0WZfo8Z1TwPBZJAD0yeQ49XloYPZX+Dj3bowM9a2j6PJsdAT14//88FCX4PEbE6zwNk8M8nObQPDts6zxuk9M819/TPAH21zxs57Y8UnCrPH1opzycB7M8C1W2PGRfuzx3frQ8ohCiPO2DqDyIOrc8H/imPMr8iDwCIlg88XdQPK6Vgjzpz5Q8jE6cPIhaojyQIJU8whiPPEBTkDwCX5k88DKOPFOmmDx136U82uWrPIn2sDzXwKU8C5CfPB6/mjzouKA8sdSyPPJSxjxxRNY8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8W1+g7+5kYPb0mYz21vWU9TDNjPSqeez0XhX89yAaDPRXTlT27o5M9gkSWPbvkjz312IE9NKVvPcJofz1yiYg9TAGZPULkkD14WXc9NYyPPTyvnj1R/5g9fsqNPaf2lT0bw4U9faZ3PeOHfj2/pYw9meqQPX2ziz3xRY49dHB7PbPadT0a3mo9eb1iPUzZYz1BLII9M/iLPXODkz3X84k9jMGNPRmBiT0Rh389JNCEPY/8ij0ErZg90iWSPcNhmT3kvpM93rGKPQQJkD1YiH49AaF2PRL6fj2iG3g92wltPSUDUz0DVkk92VNbPeVxgz2lDn09fEVmPS0GXz3FY1k9rdxUPbnsYj2zv2w970xpPVTndT3pgF49vvtRPXt4Tz3FXEY9MYQ1PaiKND0gokM9JeZQPQZlaj2WUXs9bByAPR2pbz2Io4Y9T2aZPUnmhD3lrF09H7NtPfldXD0hzlk9u0FpPfTCbz1if209+aF0PSJQej3xLVs9dMZYPZ7baz0Qpl09Kt9XPSTLVT1T2E896IRYPXWfTT3glU89tsJcPfm4cz16AXc9s4VfPV/XVT1dmGw9U2N/PV03cj1nuoI9w6iFPSeoaj2VeGw9wdpNPfQSRz2MWlQ9+AdfPSDCZT3ZgmY9knZKPalSRz0e3D09Z9IzPaYdPz3BAEg9YYNJPZ/PRz2gkU09OShGPQXbVj2aDl49R7dIPe2BWT0zw3M93VNzPe+maD0p8Fo9YtNNPd4fQj11iUA9gIpOPYMydj3bQJA9HDyAPSDiTT0Qazs96Ns/PfcyYj2AxFk9vphHPUXMWz380VY9aXlQPfYNYD1VLV09H5tbPcsFcT3Q2mw989RiPdS/WD21ZD89uW4xPRpyLz1AwzQ9rvY1PfUjQT1Ld109Gw1RPYQpQj1Yg1w9IDVaPYh8RD2erl49W0xQPbcsRz2z6ks9O/dfPT0IaT2/Nm09pk9hPcgbRT16P1Q9Kf5uPQt9cD173Ws9rlJkPdRtdj1U8Hw9o0xqPfD6cT2wG4I9oWx2PSV/VD0sO1U9uB1lPczZdD3+02Y93rZjPWVOaD3bn2w9u7FkPR5Oaj11sWs9xIdqPcOqej1IEIA9hL9mPduKXz0y/Vw9MvdiPd2QYD0om1Y9wZJUPZJ2Wz1rSEk9KwxTPV59eT1yNoA9pXWAPb7DeD149HA9IgN3PWq+dj3cGV09VgNdPbLFSj1lLzM9k0IwPUh8PD06xEE9CWRIPbFSTD1KmlA9Zj5bPTCgUD0XlzY9DxgZPRO5BT1duug8E9zKPPG4xTw3Zcw8DC6zPKdjzDzBorw8gQrGPAHztjwE+bI8smWwPDUuwTyBe8g8ujy/PMFCvjyXl8g8N2bUPEg01Dw1I888B/LDPMPYsTzvzLg8q4PFPG0KuTzLC8w8jGfQPMK6vTwDEcI880nHPD5ixjx5YMI8HwvLPFecxzzKF9s8arfFPClPszwiwcg8e6XEPDnr0Dxg1No8OurEPDPqyTwLv888T4q9PGJbuDwc67Q8S9bBPIjIwDxTObw8HJ3APJS2tjwuwLs8mTLDPOCyuDyyELI8lfi2PAP7yTzujLg8AGa9PEJ+zDwXQts8ONDOPFIExTyS67k8Wr2fPHuXtDxGDK48KT6aPM//pDx7lbA8qIefPI9orTwoB7Y8Yp+5PO78xTw2O+g8vfThPPUg3jxo09c8Xg3WPFwu0Dy3nuY87dbePBfOzTyra8o8vfi9PDizyzw/jMo8/JHjPIvS4jyOadA8cJzIPFA0zjyId8k8rmHaPCW65DyRmtU8OP3SPJGI2zzmYdk8IQbQPGT82jwEtNw8cD7XPA7+6Ty7xtY8tge2PKJ0vTw76s88MCbZPDWivzyeQ6o85bmiPNbwpTyKssI8wQ29PIm4uzxPps88fbvgPKxuxzz2IrE8+iihPKHXmzzHA5E8ROGfPOHErjwjgJY8x9qLPPJsljzE/pc8KUOUPJ8dnTxYIqw8Ds6oPHbzszy7ncs86SzMPH7G0zxs9ds8iULbPFEt0zzJleY85/XjPBsBwTwVkbo8lBzAPGCuwjxBtMs8S+C+PEc+zjwyhtE8VxPfPHdn0jyG7tE8wtPDPDFwsjzgO6k88uiZPFWgpjx6gqs8noK1PIYnpDwGrJc8RM2YPJvwnTxygKU8EaWwPERpozzUJp88mpqwPHwAqDzVXaA8W/CiPJjHuzwp2MQ86fPDPBeAyTz9v8o8ksXRPE/f1DwlAdI88CndPK2C3DyoIc48B1fePG/d4Tyv6N08zgPjPPYQyTyv6q88d6m8PM/PuTxeIqM8CESnPN8WuTx9Uso8XLDLPAsO2zzk+tY8ZYL7PImpAT2aYOw8KQHmPP1v6zyZTQA9xKwNPdi7ET0OMhM9sLYSPaR2AT1nKA09O/0HPQHY/Dx2tw09NOsPPbJUBD0rABA9ywcWPYl5IT0xWi09azYePVCkGT38+Qw9/G4DPX28BT0kNvI8TvHxPM125Tw9efY8D3D9PNQTCT1eXQY9sxr0PNeP8TyoaeQ8KM/lPNd54TxMYeY83iv2PEjbAT3C6/s86Tn0PKhY9zyfLPg8Mcj0PI9ABD10Cw49Q1T9PGvh7Tx1Sfw8lXEAPWMCCT1QOwk9Wfr9PEjJ/Dwkw/A8eoDrPM7c7DyFqfM8s1cIPTRqBD2uxe48QYb1PCk+Aj3SIw49QiIVPcoNDj37ugc9FeMOPaDjEj18UQg9m58CPXC4+zwjVAI9rgwPPRtuEj2HVgw9OfQWPU3XET0DZgc9aOkMPeVnFD3p2xI9wsAPPciJEj04iRE9bnkSPX8eGT39CCI9qNEiPXc/Hz3hhhk9FZsfPfe8GT263SQ9j/4jPST0Hz22TiA939g3PeZTKT2G4TA9E3E+PVTuRz3nFTk95B4mPQ2rHD2ZrRY9qdINPWhOBj3wXxE9SzESPaSOCj3qov48mdkKPYFMDz211g49ABr0PLPO1DxkAew8VA30PCEHAT1VoQw9NB4DPRy2BD26uRI9WHYQPcov+DxpmOE8myjfPPmdyTwSFd48Me3bPPqUwDxq96s8cu+2PCKQuTyH/rY8VhfAPPfZszxdiK08M5ytPPNDtTx/ALQ8AxK2PNTptTzRD5k8TuWDPPRLZjxgc1g8r2x0PMaZkzxIvZs8g+ONPIkshzzTbYk8Z0mSPNpglTxy6Zc8paebPMTDnjxhmqk8H8qfPC4Emzw4nJo8jo6fPB/HrDxCK6w8H8OpPKmYnTyZQJk8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9To+08M707PWaLbT2nbHI9dCFiPRkFcj2+GpU9qtyhPQgFkT1c2Is9Cg6TPWlumD29/o49iMqKPWu1fT0NMms9L1x8PUB/hT3EOJE9VReUPfZ6gT28jXo9qK5zPZY7cT2zRl89vV5oPQkPhj1hzI49FhyUPWUzjj0VFn09lKpiPaXNaj1osl49FQ1yPfhlkj2ZdpM9AKmHPcFqij3W75g9H/+ZPROwij1UnoE9vTSEPYtnjD1/mok9YPR/PZWCcT0r9Ig9QmmHPegvcz3EzGQ9Z8RrPUuVgD0F3m09IX1zPbawXz3WPmc995F3Pe5XjT0NB4A9MvVtPWvGXz2sBk49ZJlYPdpWWT3KEmI9LjBfPRNScT23U3U9/EZtPSbNSD1X50U9fi5NPfRVTz1QYlk9NZFrPSqugD3NGoM9eWN6PVP+az3/yHE9/kN/PcSSdz2ZG149bcZ2PaomfD1+THA9apx0Peovez2+iHw9t4xsPWRSXj16lWU9PxNnPZx+Xz1Z82U9y55pPcGrYD1Kllo972BMPcepYj2x03E9smtYPcTCbD1AhWU91nFHPZJDRT0zw2M9jStvPYzLbz3yoIE9ObKJPd23dz04/mU95zxmPRtoWz030209m5drPZd1SD0xYUE9HEU0PcKVSD0idUs9yE1QPZDwTD3Tnk49TQBSPduPPz2d1yY9weIrPdlUMD1U30A9rnVNPb2BXj2u5Fg9oj1cPYkZUz1dRUY9dVI3PTqtNz0s9UA99TM/PeeXYT2xc2Y92EQ+PUUkNT0Sxzw9g75MPfmBXz0CQ1U94sNWPRfvTj1ygWk99yx0PdK5Vz2xnUg9r1tIPbocQD0hMjQ9gc0rPftNNT0t2Do9sYtFPVpoTT26l0Y9u0dBPbbrQD077EE9yTlKPfPkVT2uYlw9pjdPPX2BUD1gp1A9xSNUPQgbZz16sWo9UmdwPRllXj2T9lc93w5UPX1PUT0UEUw9DJ5aPR64Xj1kF209tl12PXlEdT31pYQ9ydx0PXNHaT1jmmA9UypRPWRFQj25iT4927VzPbi7hz2UdYE9TDN6PSnQaj03ynA9QwRnPVNuWD1w0Wc9YgCAPYe4ij1ytnU904hVPQqpNz0Xikc9+DZXPRNpXD2sfGM99NFTPU6uRD1hwUw9BP5kPUZMhz2zbJM9fmiMPQ0Zjj0l+nc94B9cPZlgTj32ODY9TTBGPZalQT0wvCM99aIWPZVPFj0+fBM9pUk0PTRQSz3h4SM9bKANPe6zCj3M+hU902X3PDD+yzwzUtc8tl/DPNexuzzDdME8aO+uPNuQyDzRwr48hti4PM8hvzz++cY8uQjBPKv8yDy02cc8oWm0PN9Zxjx9WNA8INfLPDIn0zwoL8M8MtfGPII1zzwo67085fvSPEgZzjzT5dI8dHnSPJ8kwDycO7w8HZCyPOUttDxRoLU89ZyyPFBkxTw6eto8hva1PMZduDwA/sU8XgnEPJ1y1DyX/c88IW/KPBrVyjzsXso8igjAPOST0Dybssk8FzfJPJAEujxqdrE8ApzJPO+dxzwrJ8Y8o6jNPGL62Tw5WdE8AlnSPG61wzwX7a48K8a4PMx+sTzDjLU8A8qePOCOkjwQy5s8wTugPINepjxPTKA8q8KgPLZomzz0EK88W9+uPCeUsTyT5Mg8ShLdPNxO3zxodPM8mHkKPWgk/Dyfgt88wrXdPAAF2jwUYNc8VhjgPLFfzzznJMo86SfPPE2G5DyYTc48k8fOPNvH0zzcH8U8vknaPCbI7Tz5Juw8ro3rPOC85TzEXuA8jqnSPBuIyTww/8w8XXrMPAzFvTw7Zrg89jipPCJvrDzL6qI8oQmwPM+mwjz9MMQ8QKjAPP2ttTwGesI8ZZLBPON5xzy47tk8XrO4PERQrzzPurY8xIq0PAoKqzyMzbE8w6OVPLcFiTz+jYQ82AePPNHbkjwvrZg8mOqlPJ4inzz8Jpo8UbqbPKZ0mjzPs7A8HkC6PDUq3DyIO+08RsjVPMBJ4jxryN88W63qPAR8CD1lLvc88Mm9PMyeqzwJM7M8l63KPPdzxTzz88Q8lU7DPCFswjwXcNs8uKLjPEep2jzaXd88wUe/PGTvqTxrnKs8onmYPPKEmjzepqs8ADGvPBtSpzzYSZk87QeZPBk7mDyuOZs85vKoPPNlpzxqmbE8pbukPDlgpDxF96c84j6wPH06vTwaGcM8PuTQPGxr3DzTmto8HGjUPC9OyTyHTtY8ALbrPGnl5DzzWs08MsbNPMso3zxRJMo89g28PPDVujxLAKs8VVm2PLpcxjwaXrM8cjDEPKlOxTxSrdI8pC/YPND69jytr/c83MXiPEhI1jyXAuA8iBPrPMOGCT1Bugw9vh4LPR2RCD3Adv08X9gDPeGv/Txb/gk9Cx8KPZL5/Dy7NPw8PUsJPbLhET2CBxQ9zf8iPbmeGj1hxCA9QsQdPZIFHT1HcRA9qysAPb33Aj1A3QA9BUTlPA4N2TzPYdo8tPrwPJB9Cz1ILgs9U6IBPd+C3zyHV/I8TREGPa2V/TySzgw9JRwMPb2NBD0QYQI9A2j0PN0O+TzafgI9TQAEPfwx+Tybgv88XXP/PHeQ/zzSIw09xJkAPYIfBj3kZww9BnkHPa99AD0bne88GJ/0PAAo7jx6du08GL4APS7f8Tx7wuo8OgP9POw0AT3/Ig09FEAOPTNYDT0CFQ49WKgCPVB/9Dy0dfQ8Bxb4PEHt/Tz1kgE9Ud8SPYZxHT3rnQ89ey4MPQJyDT080wg9JIYLPXXxGj1L0SQ9bkcrPexNKz0sOCc9WmYoPWcfIT0foCA9KWMYPTu8GD0n2xU9GSMUPY94ID3ZOR495oooPU3gGT3haiI9vWoiPS3BLz1mAy09yjISPRYHMT197TY9r98nPagIIz3Cvgs9Pbb5PAJWCD2OsRQ9rLMLPXEM/Tx7FwE9ZScKPaRQCT2YwAQ9G4TqPKt99zw0qvg83CkDPYYhFD04gQY9exj1POrFED2gHhc9KQYGPTBV5zz77vU83EDtPJ9B3zyjAOc86tfPPPxHyTw7abk8Hwi8PDLTvjyJsL485MWuPE8/rDznW6E8FJavPMk3vjzKa7w89AqtPJmokzxmVHU86MptPBm0fTzWt5U8pVmgPF1jpDxK5pA8T+CHPKdahTwdo4k8lLqMPIQUmTy+I5k8q46NPPsemDyq4qE8Wv2bPH/6jzxtIJY8eRKhPBp1lzys8ok8pRCBPFXlgTxLcYE8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+5Mhs906xvPWyhhT1j1ZA99ZWQPe68gT2o/oU9P2mHPVrEkT1t/o89KoySPRoomD3sT4s91JZ8Pduycz0+iXQ9NWKFPd6wij0oe3o9TT93PcWygD3ifIU93xqAPQIycj1ZWIQ9vbiHPemrkj1zp5U90hCKPaZFaz0i2Gs99MxwPcJlej0aYHc95Xt6PVipez1YQ4U98U+LPSagmz2czqo94+qXPXvljD1elok9DTGNPZ7MhD0hNHM9E0xnPXTIWj1ztWc92SFdPWX4bT1CfGs947FxPZw0gD030ns998x9PXTaZT1z+m090m54PTTBfz32bV89615UPV5IYj1AmVo971RfPUNOYD1gxls90H9iPfRLdD0Zi3I9UVJWPQbbPz3/vzw9rAQ7PX3kTD2CK1897LhePdR5dz03h4E9Zx6GPSCBnD2Nq4o9/559PTU2bD1jc3o97smGPS8Ygz1HU309GuWGPfbSjD1QWIc95b5yPUylWz3B23A9buBpPZebYz1f2209XEmGPXXJcD3+rU89YGNXPfyqaz3m4lk9VWlQPXPAZz3zEG09mnhpPSCagD3u7YA9Rz9/PR+Gej2SBow9bp50PYSMSD3koVQ9FolvPXsFXz01XFA9Z/tSPUWPSz3mmD09ky5PPbr9Xz2NBE09wvBEPRYgOj3IuEI9K7Q2PRhvJz1KVSA9RboVPZc5KD2eOzc9tIY0PZWOQj2Fh0M9eipKPXk+ZD1DNEs99tQqPZkFLz2I6EM9VYdWPQFoWj0AeUQ9Ml5UPQgLXj3OblI9FaJTPYMabT1SwWw9GIZ1PaIYhT0ZrWU9liZPPWx/Rz3/WEQ9a14wPZ8WND2Tj0A9K6I4PYGcRD12LFw9xdpdPRIyYD3MclE9rro3PUGaNz2DB089CO5XPeZQbT2PUXA9381XPdyXXj1Y5XE9Bg1pPcpUYD0Fl2U9uv5bPdqiZT3iNWs9dqSFPTaPgj37RnU9r6VuPZFdcz3cKnM94K6APXI2az0KdHY96lFzPSHkcT3BPXI9ROZgPbQlTj2FWGU9NRx9PSmVhj0zgZg9nbqKPeASiz3FT3M9AzhoPQSxbD1+rnU9SCR7PcQ8bz2V1k49VxxOPZu/Vj1oG1E9RndbPT38XT1xk2c9YzFmPfr4XT3WYmI94v6EPUQfjD2WKXk9vD9/Pcazfj3R0Vc9XlclPdieGT16dBY9IjArPeztHD1boQs9vdHzPB9CyTyqObs8fIzBPNocujyAk7M8gmqzPO0fyjzHqcI80ze5PMa+zDxUZOg86MPiPOattzzXpa48b42wPJ1FwDxGC748cievPGTXvDzErcA81KGmPL/VuDyRfsI8anmnPNnHnzzEObY81d3CPGqytzy2/Mc8sE3XPF1DwTw+g8A8S3SrPOCxrzzo0Mk8cVa+PF8ztDxgKLo85NXTPB5dzjwyVr882Fu5PN7Xvjxd0ds8b7HXPCq/uzxM3bc8zYjHPNqD1jyGIco8v2zGPHBBzTymYc08+TnWPJG60Dyvo9g8KCzBPOldsjznIbU8Me/BPP+WuzyKoMU846bAPJhJwTxB7ak84a2uPGOQvzy+xLU8ydC7PK1SvDwuNrE8IiKiPFbTtjy15K88adSjPPierDyBGrg8S3e2PIvZtTyL9M484mbGPG6bwjyr9788qOrmPL3zAD30dRE95gsPPRe37TzJOdg8bYLVPLFqyDy+9Ls86G6oPGwstDxUOd48yo7bPJC8yDzpGMk8rZXGPLuSwjzOEsQ8CGXZPL623Tz8tuU8Kcf8PJyi+Dy639E8zgvKPJYR5jw7+NM8Od3LPM4avTxbXrE8Z76oPB8YoTyTa7E8k/jEPPOmxzwKqcA8JKi+PGSFyTyFsb88CQHKPOCKvTxmXLg8BNuiPErpoTzz0KQ8iVS8PG0ktzw7EaI8fMecPPlTkTw5aYs8ChWiPH1vkzy7e5E80Z6oPBZqpzx30pA86M+MPDfvpTxh2sM8TAXpPAc96jwZ5Og8EDDJPG9vzjw8/tA8Gr7DPAQlxDxUC9A8fofBPIittTwQD648auqtPK3FwTw2tr08jJzaPFVp0jzIfMc8wVq0PFb8uTxRD748wGO0PF9bvTxE9r48eYqyPLuOqjwxop88176jPKsGrTw//q08TQ2zPNHMwDw7brE8yRq2PI3BxTw058g8leutPHU1njxuR6o8L7uxPGVswzwa97k8Y7rNPPqe3Dyha9s8YlnWPNUw1TxbRfE8I6DxPF1n5TwHl908b6jZPHqr3jwSdtc8J4rQPPQnvzz787s8oR24PA7psDyej7Q8bh3NPEiF0zz8Pds8fnXlPP3R8jwgOuY8N/biPL9u5TyANuA8rLDvPLdE/jyQeOc8AZr8PKzj/zxXv/s8mLgMPedwAj38XPk8pHXxPFb/4Dyut+k8K+cIPb/UFz2mYxY9288VPU+LEz0XwBU934oXPSzFBz26pxY9uokNPbho8TxUz9o88sHIPILQ6Dw6r+487hf3PK39/TxZjf08/e3xPHPW8zzhb/A8k1rzPILc7jxEBwE9Vj0MPeZjBD3y5P48MhYRPRDKEj0WCfs8vrruPFjV/TyUu/s8bycEPcaNDD2bavI8393lPHhr7TyuMes8CJ3nPDpE3zyheNg8HkzkPObq7jwxBO48WW/9PA9iBz12aAU93xAGPT+5Az1B1AI9XjgBPQCHAz0UWf88/jb4PF9q/DxzL/s8Dm0GPaJIDj1vNBA9BfsXPWQMEz33qQ49YvwXPd+IEz3AeRg9hgYoPaxrQD0pXj49QmIxPSWWOj2xOUE9oYo/PYCcKT3EPhQ9wEgXPbHYDT021Q09rxsIPb6kDz0HmRs9h68UPWMbET3Wyhk9CcMkPW2vHj3tdho9adITPUjMGj0RvyM9YgMZPeSSAj0xjwg9bssNPYW3DD0JaAw9Bgb/PLDsAT1buP885owBPXTLDj0B5wM9hFzoPFFo2zzoLek8oyPrPKpd/TwLD/U8Ucb9PB2NBT3+/Ps8PEDpPGjK3TyApOY8ipjXPExw5Dxglec8MY/HPOKJxTzuuLY8NdynPP0FrTwl9Ko8BHulPF35nTzx3488FUeIPNQ+eTwF0pQ8gbSNPIoxgzyKtns8Ir+BPH+Dnjwe26I8we6TPAHdiTwmgYo8QAqPPByZnjwxGZs81iKOPBz3jzx9fI48W56MPEB4mTxipJM847WGPNcmjTz3kYQ8DzNmPHE0VDwvj2o8teRgPFNPQzy6Iks8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyL8AzxYcDU9SICIPUfnhD1ulYQ9IxeBPZCsiT0j8oc9cpR1Pa23bT2+GmA9Kml0PUUxhT3M4Yg969N8PfQ7hz0pbYU9eISDPXQcgD3DonE9/6V5PaSohT2hT5E9KOaRPUVQij02lZQ90t2QPWnjlz1T/pM9RnBxPXN/UT3y60499vZePbhWcT11F4I9Bs6QPXGIkT0gS4898oaQPYKQkD3s/4A9Qh1pPbKaaj2biXQ9jLiIPXIBfD3EI2o9aaJjPb9sZD0GHoY91KeMPadRjT2A7I49n+SGPRkffz3umoA9ZKOGPV69eD1fW3g9k+1fPVL3Wj3re0I9img7PWJzVz0q51s9Ht1FPV05Vj1a4Fk913plPc36cz0Pbl89Rdc1PaY4KT0MrjM9Tfw7PU1gYz12+IA9JCeFPU9Bij3moIA9bTF/Pa57fT3zmmo9PflNPe8rUT2LmGA9MdRYPS8kUD1o6X49HgWOPYXwiz2Ba3095rNtPZNxcT32/2k9nNRhPfUigz1ZfI09a5mMPQXDeT1Sk0s9jCtPPaAlYD2psm89ZlCIPdhBij2NXGQ9z+5YPSd2bz3wxGw9QBJYPfnRUz32l0Y9ixE8PXeoRT08J109xLRpPZkWUT2KIWM9y3pdPfZkQj0+slc95VBbPReDND3nACA9T+oqPSrqID3UcC89PhE2PcvtNj3qAUQ9a/1APSfWUj12KEI9yq5DPc5uTD2F8Ek9VvlVPRMOWj2OcUU9kXtEPX2oST3f4Vw9CnlzPUqPZT16hmA9EY9kPSCQaT08Y2Y9eYdnPUYiZz0JnVo9OExYPbwQZz1uD3s9JQ12Pc2JXj3v9k492GhIPY9NUj3M20Y9mRs8PcXSOD2W+Uk93VhNPYKcNz1QaTk93+FCPSi6Uj2sq1M9B2ZRPaxjSD06cUA9qXZKPT9eTT2o3F49VjVvPQ0veT38BHc9Ndx2PcoMcz1FX4M9up+APW1ShT2ovo09ogCEPdj6hz0ysXc9NjdzPfW4cD1KU3Y9CKOAPeCpYT24x1M9Dt5gPaUAbz3eS309wld4PbqMhj3Uq4o9zvJ2PSuMej1et2k9G49NPeS2VD3H+149LUlnPX+7aD28Plk9TdR3PfOxfj0MCFk9eDthPT1jYT3qZHo90LhsPQJkZz1GRl4964pjPQ/3YT0KWl89JwlQPa+zMj01Fik9LfUaPZC6Dj3NRQg9vFTvPHL75zzrUe48xZzKPP5dqzyut6M8kwquPFSPoDy3tLg8Zi26PMtIvzxDDsM8SivLPMJGrDz7NMk8k7LjPJ6QxzwaE6s8rgO6PD51rzzY0588IaCuPH/xxTwh4eM8hXjAPE6mujxRYbU8S5SiPMZjmTzwyqM8PULBPCG1zzyTXsE8Ey+5PHoIpTyXZqg8RzmmPMpnsTzTt7k8/K+4PIQkuzxbRNM8tyvWPI7Hwjx9q888SI/SPBabtjylG8A8DaatPG/Hszx5d9E8qvHUPPJr3zxbbcU8hM/KPCLnyzwiXtk8sLHaPL4+8TzbiNU8OPW8POL6uTzhFcA8z6q7PDvntDyQRKg8vOefPKnjlTw6CaY8ea+yPCXdxTxd4bA8O368PA0cvTwthbA8fCK6PII3xjxlztE8e47JPHuzsjzjybA8HLm+PJidzTwty9E8v2nSPGlXwjwAFsw81cDhPLco5DyNnAY9mJITPTn08jw2Cc88JLyxPHvDrjxaFbg8xSm5PJWMyzxROs08X5nQPDBGuTw4b7A8g/7CPLr8xDzagNA8CUndPC1O8DwTx+Y81snOPOInzDzaJMA88v60PG9dyTyhzMY8DXbRPIsTuzzyFaM8r3utPOCbsjzPa6886lC0PA2RyTxpBcM80gzKPNVc4zz3mtc8DyfVPO9BvzzQUr88ooKkPDBvpjzGfac8O8uTPBTOlDxze5Y8ruyoPJGFnzzKgqE8QbaqPD2LpzzuTb08g0TVPIMSpzwZdJw8zfCbPEpBnjyjfaU8ftCkPKHSoTz8Gq88VB+9PEmsuDyC8KE8PuOhPOpuqzwPFLo8BOSxPALWuzy/V8w8ztvaPPVz1DyxosE8ml69PFkYrTw3D7E80Ta+PGG9uDzhYMQ8yBy5PO6opjyb3aY8tTqsPGr1uDzhxcQ8Mj7EPLqYtjxgIaM8PqurPEkSuzzHLrQ8r8irPB64pzyuWLU8EXOsPJWnrDyKJqw87huuPDgYpjzD4qU8+9K9PCVL2DxB4dg8mKnmPH1I2TyMLew8DHD5PJpL5TwtW908FVXQPHZe1TzEvNg8u77TPMBM1zzuGtA8dayzPPt0rTxhjsU87YLJPBRXxzwcgdE8AZ/kPAFe8Tz0Jf88NfT5PGNX7TzR6PQ8iZLiPBfA3DxwuNs8P3zlPFZ08DyGRvU8x1UHPUTmCD13MQs9RmP9PIPL5jz1vvM8FjYBPdxqCj2WiAo9Sv8WPTsDFj33ZxU92+AaPcSnDD1lEw49Z6kWPaEh/Tzectw8M6IAPVceBD2LKf08CXUBPRQ4/zxlHBQ9nHMOPezDAj1NnAQ9Lm0GPXjGBD1UUAM95jEGPdKuDj2kIwE93Hf9PJSb7zwvUOQ87QnsPANJ/Dxzruk8k37pPM5I6jxrO9088hTtPN4z+DxYytc8ye/gPHZl7jyvTO08atD+PK1wBj0JPPc8Nuz4POdA+zyP9AY9zNYGPYIACD0sgQo92j4IPe/P/TyPJPs8TzL1PHxYCD0tWgQ9vhkHPaDvBz3XahE938cXPT/KEj2TeRQ9gmcTPVKGDT0mWBM93GAiPbpWJT3i8i09iocnPQD5KD3F3Cs9pRAxPbZLLT37Aho9IL8LPTR4Dj1+Iwc9mW0CPWg4Bz0UbQg9U7LyPGPIAD3SmhY9AfQePapbDT3lchE9RZcNPXwzBj1N6go96OIFPXuTBT35VxI9QIMPPVUeED3Orwo9/EHsPGJ3/zyPgwc9kp4HPQxiDj0p3gI9JNT8PH5iCz0miwo9VRD/PKGy6DzuAOQ8LsXzPGe7+jy+O+c8EaLXPHA15zwkS9Y8sA7TPIdo1TwbP8Y8Ly7CPOS2uDyUurI8bTepPMrWqjxIHbA8tpG5PGR2yDyFP6U8FQiTPN26gTwAenI8mvmCPMmynTyB9bY80SmTPI/kkDwroJM8hWmIPDywcTxTMXU8EWaIPF+MjTxkZ5c8QmWOPBt9gzxFP3A88CpfPDIncTztsGo8wb1mPBYRXzxIZUw8t5M9PDWaPDzpaDk8dshDPNKLRzyKLkk8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6CIyTw01Ds9qZl0PUnKhT0Qj5E9HcuaPUEchD1pfmo9VUZiPd57Tj0jJ0g970VnPc9viD0/Ko89JwJzPWC7ej3HpG09Q4ZmPQjvcj2ClIA9ErCNPZ+BhD0ivI49iP6cPTIdnj3IyZg9cKWGPUBqgj2cIoY93qV8PbOXaT2ATXY9wMuAPeICeT0kY389772NPRU6lj0x+5U9CBmhPY75iz1oCm49z6xkPU+IdD2ZjW89gE1sPXqgYD2cKW89x0tuPa/zez3LGYs9cAuVPcqEnj0FUpw9FjOWPfW1hj1NPHw9yuRuPThmaD3EDGg9nyZRParhOj1KY0A9kidaPUTEXj1B3Fc9TBN0PamgfT3QTYI9vMmIPdNneD1eb1492vY+PYTiMD2IWk49W2l4PdQ7iT3uj4I9iuZ/PXLNaT38MF49cS1jPULHXz29aFk9vy9GPV2GQz2LQkE9RD9XPSc7Xj0Hnlg9mYJkPU5PUD1G1ns9gyOCPd05gz1Mb4M9dwqDPT2bhD3a0Iw91+ppPdd2Qz0JeUU9zSdgPSH9dj3pyIU9XuiBPd7ZbT10smE9u4tRPfdyST1Llkg95QFAPWgIPz0QmEA9IAUzPacLOj0wQjw97CY5Pa4/OD2Z7EU9q6w8PdaXPT2DWC09VRIwPdGEKD0BNB49KxkoPap/Kz2PRzo9ii5KPc6VNj2gaFQ9hvlOPfIhOT3Fh0o9iwxiPU7UTz3R9D09S99IPRpsVj1W3lU90etpPUenZD2a3WQ9n2xpPWG5UT0xUFE9CGxaPawKTT0yakQ9n3BQPSqhVj3EI1o9W9x1PaEwez3rboE9t2B7PTkrYz3PjlQ9xgFXPdL/QD3WIFI9p/BqPW1JVT03zT49vgA/Pf/eWT0O5mI9b9ZVPQ2HWT2KyFU9nk9gPbSWUD3JkFI9tQtsPZyfZz3o3Hc9UVp+PfVVcD3AjXk9CZt5PddTbT1o0XY9gRKOPbtbiD2s8IE9V7Z6PUiEgD3mqHA9ABtjPcmsYT2cX2Y9KEpcPZzhUz2eZ1I9x3RgPf7EgD1goo89s7+EPYKxYz0G3Fw9qx5mPTrFgj0HvoA9xyJfPabNYT1SnWU9J5tvPd6RZD3kFUY9mNI9PcxyVT3rPGM91cx1PW4fdT3/amQ9eqtdPQhzUT03Ckg9sd1iPSkpZj0iu1E9ZYJDPZZuIz0Csxc9sqkBPZzm6jxhKPQ8q1fuPAeVxjy9zLc8abK+PD++wDyyaLI86neuPLontjwRVsg8d+nLPCMZwTzhBLw8xX+2PKBznTylr6w8Fzy6PDNuyDzvM7w8mAG9PLKOvDwkM7Q8WzW+PCJUyzzlb9I8RbvNPF+ruDxTwqQ81K+RPEYVpzysirI8iQfIPFy6uzzVTbU8QOzUPIM3yjw5W6s88i+tPG7Euzyfgck8kTvKPI8exDz9zsU8U2nKPE71rTwO58U8EAHaPBFvxzyhRLg8eLvIPNLFszxR1bg8DabBPIU3xjx/EbA8SgW0PFwRyDzwHsY80w26PF5gxDxwAb88L1W3PCoQsTyjBL48gv7RPP6IwDzTuKY89JqXPHYDnTzxBro8ieK4PNdYuTxPSME8bZDBPAVnyTxQ09k8RDvYPOTU2Dz4m8888By3PDq9rjw/MME8FO/EPMcZwDwrMdM824zqPP821Twv59A8r5nlPDbu4zxXvgg92xYGPZ5e2zxug8I8QieqPP1SrDxVpbw8fqnOPGpNtzyw16k8Vw2jPOZ6rDyrtqo8Cyu6PPKOsDzcG8k8HNnoPG8K9TxJ6QE92G0BPcbL6zyl+9c8AmHOPD290TxHfdc8b0PVPMhsxzwSOLc8FNGwPOwspjzuL6s8wbSmPItqrDwhtLI86lrEPEVXxjySGso8La6yPOHKqDzt1qk8fMWuPD82sTyOfa484iWTPOutgzzkkow8ssCqPHIwpTxHNrI8hTmvPH0PoDyppKY84Au0PBfcoDwtvaM8Lm2iPCYLgjxfD5E80OSYPC8KqzxoKqw8H1CxPOocsTxCc7E8H+ioPEQoujxQdL48MgG2PJWzuTzhBsI8aYLSPEXk0zzcjNs8ANrTPCHnujzmyK08sdShPOTzrzyoM7084fu3PMUDwDzxKbE8BJ2+PLR8vjwMnrY8kS++PCAtvjx3Hqc8zBulPJ3VnTwYtaA8t66wPCEFoDxXkqY8CVqsPDltsjxVzLA8UqzDPNnHuzwfF7k8XJm6PIuS2jwkeOA8YhfsPGFD+jzaheI8QN/oPKqY5jwOptw8xU3QPJAdwzyts748NZC8PGJMuTyDH708U2q+PClAzTxuN9s8c2z3PDGd3zwnrs48/FDiPCpx9Dy2VgM9d20LPbZn+Dzx7OY8aFfSPHWw1zzWxO88My/rPBgv5TyPy/E8rroAPYo0CD0mRgQ9NxsAPXomBj35rAc9udsMPW7t/jwywBU97LchPcLpDz0SZQc9ndkKPd2QDD3MXxM9E+MLPQlNBz0/tAQ9UXoOPZYoCT2SEwA9ki39PGlnBj0eVBQ9toQPPXxGAD3T/QU94ZwDPSZhBD34aQM9624APcQo9Tx1+uw8TZ3sPDZQ6DxOu/I8YX/+POUM+jw91fU8h3X5PKlG7DzRFfA8KA35POTY7jxyj988NoXhPH7K4zy7I+48TyjqPLt3Bj3WC/o8kEbyPGLn8jw+MQA93GMEPVALAj3jX/w8oiLrPAs27Tx3vfw8lSYAPdtTAj3A/Qs9j+UXPWQBEj1O4hY9/6YfPVPZJT2i4Ro9eSUaPZHTFj3pghk90PMhPZT2Ij2UDhg9faAdPSM6Kj3jfi49S4kpPS3vHT22fAw9xJEEPQZuCj30jQs9KYwCPQKvAT1TcPM8WuzyPMdb/Dyr+fk8UrUKPcGjEj0zaQ4908ECPWX2Cj1WbBk9kGkgPTmTIz2wGxY9KggPPWgLCj3cjww9lhH1PPLC6DxC+PI8vGj3PHTH3DxKjPQ8GkYJPT/8Cj2M3QE94L4HPTE66zwBcOQ8bRXzPEaz5zyTIeI8NSzhPOEA0zyQJ9c8/GvGPB98tzxuer48j5XUPFjPzzxvXKk8oreaPJd8sDwgurs8AZqqPITorzynr5E8V7V4PPradTwC2XM8nXyVPIxorzwaAJw8NO2DPD+Xijzj5ZQ8gNOMPFv9jDz/yYU8Pid+PDPLgTxf13U8/SpkPBciaTyXP208jl9qPBMVYTy0Tks8yBFLPB2xOzy1aS48lwQ2PC62MDy++DM8nGJBPBFsRzzSXUw8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyc1ET2LSYk9zKWUPQFejD38FZg952WHPTdsYT0QKlg9MMVTPdssTT3WF2Q9LU1yPcjyij0K+Yw91pRoPcXbXj357mw9mjp8PU1njz0Be5I9T1CMPeFljz0tD5s9+f6cPYdmjz0kNHo9EwKBPdVSkj3uR509VkucPWLMjD2D+oY98RWOPQCxjD01n4Y9ImKKPQQqjz2zfo89En2KPZsFhT2VWoY9pryBPUd5UT2YZUs9wXBLPZrkUT2oCnU9b9l2PaQhgz1Shok9e8CHPRJFhT0haJE98/GLPRagVj0k7FA9fd5pPVwYWT2JiVI9zw1PPTRoPD3khEY9bZVbPZH+cj1BjH49Fdh/PbsukT054ZE9nvKKPZkZgz3Shk89G71QPby9Wj2I31M980BtPVmfbD3DO1M92RJRPVaQZD0RAmg9ouxXPRf9Rz08vz89BGg9PYWXLz3CezU9Qw9APes6RT3gJU49CuBZPXM5Uj28Vls9LXVWPVsUTz0H21M9NmpfPU0OaT0JZE49JKZIPVIuST1wxVI9cqRcPVvleT04jXY9jg1mPWo2Vj1scFM9erlWPSIRUD05J0U9A7pDPWFMVz1/0Us9tukqPfz3MT3BykY9hvZIPVGmRz3umE09L6BGPQchRT1Zy0c9ZPE6PXGFOj1+VTQ9n8BLPUf9SD1BuUU9d8pVPex2Oz1s00c91R1gPRmaTz2fuks9sS5WPcw/XD1r41g9X6xUPU7ITj2ji1c9UVVcPeVecD1Wy289SXx3PYC6dj3xTGg9DuVNPV87PT2lOTk9a/RePeptYT0M+2g90eRkPUfQgD2Wkoc9MyeCPb7MVD12PEg9wNRhPffLYj3QAlo9awtbPfLmYD0ZSEw9y1c9PUVyaD3dXW09RkJYPTMsXj3VmlA9KCpaPbXxVj0+BW09zkeNPb/8jT0mvYE9NzlyPcHDaj0PrGA9f7pwPeQJfz3aGIw9gZCbPbYQlT1/05M9m8GIPcilhT0iPHE9MohyPY1KYz1Qt1k9G3tQPYK9Tj26ZV49xMJfPSUkjT2PcYU9VIBuPUWaaT1byV09wzNsPa8Cgj1QhoE9VD+CPbd+gD1FAnA9aLpzPUovcz1PEUk9jgBCPf4vSj366WQ92rFkPUvDRT0duUU9yAJDPW7LLj11dxs9q/AWPVM1Cz2A3BQ9INUJPVEm6TzcVMc857i2PO5HsDyPfMA8ZsPMPO8iuzxXyrU81L26PL88rjx0McI8iyPJPMhPwTwgzcs8N1DjPMxqtzyNL788cgSyPGS7pDxvDqg8sbi2PEwhrjw5ua88PUPDPMWWtjwiRq08HRLGPLnTxDyRa8A8sOe5PNvzrjwDlqM8M3PFPGlAwzzNurw8Et/JPCWXtjyhsLU8KZLEPNakvTxDLrg88EfHPIVIujyCSLk8oj+8PHSkyjxJzbk82KawPPV7vjybCL083W/DPH/H1TyRG9A8FTHTPKN/zjzhSMo88tbLPPin2Tw8VMU8KXbBPDFzvzw4G8Q85i/EPBggzzzlWdY8iq2+PPel0TxqD8w8kya5PM2KqjxTzKE8N0GvPGtNrjzEsbQ8rYXHPGpEtDwGAcM8ZBm5PAw8uzyzVdo8HEnaPDvatzxZKKg8aRarPNQ8wTzQhdQ8sNXiPCPt4jyDH9I8s6jLPNgf1jwa7Oc8GRDmPOexzzyDNdU8BVrNPNakwzxj/cY8IKvEPAPguDyFUMU8ffDFPCJ+qjzoSZs8UbOXPDz8qDy8zMQ8Nl7CPOaOyzzVHwE9MUoWPfxRFD0HewQ9oKfePJjgujzs1L482KfEPLKXxjxmIrQ8tIC6PC/gxjxkr7M8hHusPLb+vTxQLMM8kxi9PPKjvjyjDsI8JWK/PGKLvzxu8748b9itPL8MuDz2F8I8jE2+PL5QuzxWL7I8BJOqPD24pTyEFJs8cwmfPHKppDwhIak8lXKnPBgllDx4Epk87c+gPFVzpTw8/5887ZGyPKzHpzwQn7M8MQK7PFrIxTx75b48biurPJuznTy58Kc8t16xPFCvqzyQg6E8Y62hPLFeqzyfvb486TjaPEg44jzT6cw84n2yPBfmqzycYKU8BEqePH/DpDz++r08yM3BPH98sTy2sK48IyepPM3omTzdMpw8q/6lPOIwsjwZcKg85XqlPCqktDwuiL08mca0PG8bsTxoj6c8GPKtPAfntTxemLs8uVi8PNKMwzwsQ7o8PQS8PNqRyjzbhtc854r0PEkW9jyb8vU8AVrVPO9w2Dw8nNs8AQDSPJoYvDxPZLc8RbnPPDzyyTxvib88t2vPPHFI3zz1od08QCfdPByS6DxMxwI9H9b6PPunDj31iw89m2AMPf2SCz3W1gU9QYLvPKuz0zwQStY8wpbdPJSG8DyPef88BqXzPMb45DyVNu4836cCPXyVAj1aGu08ISoKPY+nCz3vFwc9ag0XPYUYGj0ACwA9FA8PPbhTFD2NXRQ97JIUPTGyHT2RAx09aWEMPQwW+zx9CPw8BQAAPbux+DznX/08XKsGPaTkAj0OYv08qbcLPUfK+jzqwe884OX5PHZ05zyzyv080usBPcMx9jxK9u48quYBPQYd8TzJTfk8tW70PLAk7DztHeE8XW3cPCUu1zyYad48bEbTPJJWyzzl1tw8xe/bPIBf5Tzh3t48o732PCJY/zwjTPc8PLD6PPEM6DzgFeo8EZbxPD368DyM2fk8LbIGPb18Bj0LxhU9dZgnPVLGIT248ig9yDwgPbBqGT17jhI9r6kRPetcEj3jaww9MpIJPdjpDz0wFiE9+woZPZrTET179BQ9PuUJPQFVAj1eFe08UJwBPUrX9Dwis+E8zN7vPH4f8zxXtws9hqEaPTIFED2yYRQ9mBcgPeJwGT2JIgo9FYwFPZ/aAj0i+AE94t0VPaLJCT04rAg9zpsFPV1W/DzawwE9tBP3PNHk/DwK9uk8r07ZPDBk4zzZJAU9KHAOPcLIFT0SmBM91dT7PLyZ3zyO6e08nWnbPCUPzzyvl9o8iYX1PN2M8Dw6VOI8+4bIPBAiwzwuMsQ8p+XBPD1MwTw1S7w8EgqmPDX6oTy5G5Q8iCd4PJfoaTzM0nc8/5mEPNM7iDz/oZY8qHyFPC2xezw3D4Y8t2N2PL62dTxFaYs8feSJPE/xiDz+hnQ8kY9tPNdEZDwj52E8jihsPOxbcTxexG48id9PPJ5PSTyTvkw8qkhIPNCcSzzfX2c8MDd2PCuPhjzL68o82PA+PbaKfj3DFKw9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/H7dBPMWsQT2NUo096YCbPSaakD15G2o9QxpHPcRFSD2Hj0Q9BTFRPcaYYj2i4Vw97aZrPahCfz2Qd3Y9/k9hPYkfbD1M7209TJV4PWtUhz34V5I9xVChPZIzpz2xc5A99R+GPXhlgT3iio49xxuYPc0Wmz2rRpU9C06NPcPfgT0k6n49CMKDPVO+hT1GcXg9csKCPeRxfD1121g9pBxyPRwzeD2BpHY94hFNPT0TRD1Mi1A9ImVGPdGRZD3itnM9rmZxPWc/aj0XnlA97PhVPVo/Zj00zYA9VctoPWPvdT2Ujmg9NwNTPXOAXT2IM4A9KxGIPSXHcD1aqmU9rjqEPRoWiz2troU9r1iGPa55gj3l5oM9e89tPa4bbT0vd1I9U4RhPUaQfz0iGo89AOlzPcGvTj0JLmY90HduPR2/WD0ILG49BhmAPQPoYT1JeEE9Mvo3PfiyPj01VTw9MwRKPZL7YT2z0lc9AgtfPfFmcj1Yo249VOZmPdd3YD0X11o941tZPZ7BYz0usVE9OaU8PQBrOT1Sdks9YQBMPdGrVj22vGE9kMVjPZwAZD3K5Fg96X5TPcpBUT1sMEI9i7EvPc+rLj189TQ94242Pe/hNz119T09F5w0PexeOj2I5kE9F75APSo9Rz2pF0Y9fvxCPft+Uz2ZklU9DjBVPfMlUT0wCFQ9ZptXPYamYz1UeGg91V5sPY7bYT3DSFs9pit6PUdrVj3z70c9nyxdPWY2aD39EF89hT1UPfSdUj1r/G49YL14Pf3BYD1uIEY98zk+PbvsQz2yYEo9rcw8PSJfWT1chns9d1N2PZS2Vz36sFs9AJFmPQ6wYT3j4mI9ludmPZJmVT08QVM9gHRbPQYmZj2jcFU9aJ1wPTzihz27gm09qvBtPW/WZD1TW2U9CItJPYteUz2i/WE9eNlvPSW+dT1xknQ9BLV4PRvSXj2z+VY9A9VZPRdAXz19rVs9f3xtPVXcgj10JoQ9uuZ5PX7ugD0424Y9SFqAPbSDcj0EIVw97F1VPZM1Xz0UHWc9ljB4PZ0yaz15vmg9OL1mPTjTYT050U09hLNXPZEdfz3wj3090dGLPaUShz1ZmIM9wcFsPWHJXj0gaF499plnPafWYj3xwnE9njtdPQwhWj1HiFY9Kl4pPdzwGT0aSw49J3LvPH245zyR99Q8h0O+PH0nvjwc4rU8qhSqPFnAuzxrpLw8uE27PKgczDxgjsk8sK+xPA5WrDy7Frg83GjUPNnIuDwlxq88VCmvPB0cvjwOGrg8pBzCPHzqwzzPgcc8CsXUPD0utzxhcqg8T6PFPGcWvzybCMs8rnDVPPAmzDzZYKg8nxCkPIBrpjxoRqk8MsaxPO5RuTybJNU8XYvDPI7atDzm7LU83tS4PBO7wzyS+bs8+J2xPNLRyzzhJ9U83RzQPLuYxDzux8c8MQvZPN0Dzzx0rtg84bfOPACYyDw2Jc88BQzBPPcZwDxs5tY8jyLhPDy91jwYQuc8nVDFPLV+zjyvLsg8KL+8PF2fvTx1MLo8brq7PIWtwzwYl9c8UH3TPK61vzzgWb08W5zKPNUnvjxjFbQ8qqHIPFkhxjwMD6887Ze6PCavvjzqr848wvLNPH0xwDxkra48zoK7PJ5QzzwPcto8oyrGPMMVtDymgcU8Caa8POfCvzxoCsw8p3PePLiA4jw/iek8vHbBPOQgsDxcvbo8RzDBPL4+vzx4hsc89564PE5Arzxb3Ks8nS2oPAHBuDx35M88VMraPGql9TzFxQY9l60NPTkcAD2ng9g83orGPARwvDxgc7g8mmGnPJkQpDzCz6s8Tb61PBizwDzIG8E8iIzCPDftzTz3d+E8FuzPPIH60jxYWcs8D0S3PObhszwVf8I8HmfHPPkgwjysYcI8Sx24PA8qrTzlGKY8ZRekPBaAojw6B5w85MKaPEo0nTy/J6M80XKoPGyvpzyHxKY8lkauPKj/vzw8GMk8rAjaPIGI3zyxb7w8xHjTPOsn1TxoG6g8Yv+gPAB4ojyMFrI8rMutPAMnvDx2x708ibqsPG6lrTwUD6A8pDupPKKNuDzOg748zbypPLHHpzwVjrE8wa+4PHuwvzx3GME8PLyzPCYVoTw5h508NiynPA+unDwifqE8SeqhPEnRpTyQI7U8soW8PBbTzTwBIMU8E2a+PJb3vzx72rg8+xm7POJRvzwV4Kg8JH+vPK6CvTwIvMU8ravHPPhyzzw1Ges8lm/mPEnN6Dyhoec8GFbTPHWKxjxAk8w8fxnJPM/xxDysl8g8243DPHpczDzEpsw8FuW6PCeJyjwrZN086tvqPB/B/DwdgAI9B+75PDrVBz3ee/88bd0CPXDk9DzpINY80d3gPKfK4TzhwuI8G7TxPO+e3zwy8eQ8HqL3PPjD8Tw1DwU9O2wEPQLEBj2qBAM95NcHPQnQAj3CKwI99TsBPZs6AD2a/vY8PI8HPVy7ET0kAxc98zsrPYdQJD3LsyE9KMAQPYZgCj0ABgk9OngKPSqvBj3oLwg94S4KPTRQBj0i2QE9lsb2PJqD7TwqBeE8pg7rPGIH2zyZTNg8s6fZPPR20Ty83+A8L4PbPM6h6zwQtfI8epfyPC7C5zwK5dw8Xe3gPFGW7TzNuuA8UEDNPL3uxjwRuMA8VvfcPGWb+Twr5Ok8QovuPAZA+TzjhOE8rFrsPA/5/zyjJws9Aa0CPQo//DyBWgc9QAYEPWflDD2YtQo9TNkdPdYWGT3qLB49X+QbPcyaDz1Qk/c8xGQKPZgnEz1PURA9qm8UPUfhEz1k8hQ91bwbPeBAFD0q7gM9cRX6PKei8jx3v+48tyMUPQHdDT3X4Pc8qogBPQpzCj1z3gw9uPkUPcBYFT2o8AE933X/PBFNBT3F5gQ92BYHPeSgBD3VQRs9DlgVPdZ9Cj0ozwU91EPxPAUS4zyolN48FpDIPAai2jwfMdc8od3XPAZt/jwvPAM9YhIJPTRnAz1SGfw8RNjpPCi40DxdqbU80di5PNH9yDwjYOY8PiMCPTsx6zxcZso8hT63PDpQrzyQ9LQ81vy/PDI9yTzZO7Q8JxyXPP8ygjyUB288/xNNPNHUVzz6hn08IbyYPLCvlDx9mow8ZdxhPMcTSjwqWUs8+DVbPJVRZTzwjVk84FBbPK74WTzOUmQ8JEVrPM1NZDzlulg8Np1lPO7OcDwnYYg8GfOLPMs2iTyZIpc8N9TtPKkkIT1ulUo97OG/Pelx8T2UUB8+Ya07Pid5NT6nMjw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/4UAVPYIjez1BzaM9/jeePSwmlT0JInw9J6JYPRpiWj0jumU9uM90PfCoYD1XmFQ9xcptPeZmcj1A7WA96GJwPQBSgT1hnI09L6OhPfnomj1skpg9mPaQPY4PhD3w83M9M82EPSsTij11KqY9RmWsPUEzoD2rXI89NL6DPYtriT29sXg9EOeQPa0AlT2dWIA9GaBgPTlfWj0N3Gg9z2R1PWLcdz0HLlk9yIRbPe/sZT3mGlo9FS1aPaKOYj0qkFQ9tsdNPZwgUz0Tp2I9DHVfPT3faT2Tyms9d8xjPTk3Wj1NS2A93t9RPf2ncj3kipE9CICWPcjEij1Ou5E99F2ePdW+ij2xAHE956RaPVXQXT2XOlU9oTVXPUURUT03bFI9slVnPSI6aj1hBGo9OHNhPRd1YT3LoHw9kn+DPRmidz3sBmQ9xepRPZ3dQD079jM94Vk1PeeyOT3uxT49fx8/PW9UTT1DdmI9ZwZ9Pb9fdz2Cl4A9TUOEPR2fdD2vAVw9C78+Pb8YLj0NBSo9xMYuPTfSNz3xCUM9yCtFPV7IVT1Vq1s9DchePRt8Yz29ylo9VpdePQcSWD3l5Ug9JzlFPYGsPT254kA9wg1APXtXPj2GOS09L4QsPXu9Kj2Bgyw9wzU3PfutVz1hqF89taNpPWrbWT3dD1M99UBUPXboXj3W1Xw9Zyl2PfZGhz3V+4Y9ieZ7PYECbj3Ytl89J8ldPRvJcT0nnn09YJBfPf3fXD17zmk9BdB7PVYBaT06Dlc9KdVSPdHKQD2kb0w9plJDPQOPSz3ch1w9gJJdPR6tXD2GyUc9r1pSPdI3XT0eNW49tsV/PWGidD0rVFk9XwQ2PV+1OT3YX0s9kudYPbn6aT3J1FM9NIBRPd5qZj3qtHY9ISF/PXZPdj3pHnQ9WSFoPfSWZz08jmk9mtRmPd4hXj3uMG09BDdmPebURz3/2Uo9YWdhPc7hXj2zDl093IJePXhTYj0RG3g9Oc+LPaNOkz2uF5c9kPedPYaXjT0R8H09huGGPWsahz3tE3Y934tgPURnPj0JSEI94XpQPRH9RD0Sljk9pYxSPSU9cj1LB4k92/qUPe+vlD0K6Zc9awOTPZQiiT0Q9GM9365aPbFFVT0xTlo9tLRZPc3MVT1lKl09uKgzPWmCHz2kEyA9JZv8PP1L/Dxfhtk8V3jiPHA87DzySb48JGmzPOppxTzKX8E8oFLAPNQFtzx5mMQ8ag6/PO+pqDxQlq48SofOPAza2zzN/b88H4W+PGnszzymTMA8TOG7PCigzzwBScs8QZfQPMJOyDyGp7Q88CbOPErY0Tw9cNA8XavdPA1B2jwsw9I88QPNPEMkuDxCLbU8oViwPLvtsjyjO9A8a4u0PBKotzwdGsE8inG5PHTnvDzi2sI8qJnAPKe30TwtTuc8AmPoPKFF2DwKt9U8xUXxPDf+8zw46dg8v2LTPBOTyzyTSb085zvHPPzP1Tz9b9k8yFLOPDkVwjwBzMA8Z9u9PJBYxDwREr88mGq9PNaTrTzHlqM8LVGvPI4hujwQ9dY8bO7GPFxctTyhJ7g8fci8PMzcszz8/KY83f2mPKq9wTy66L08V+/TPBPo3TzZp+Y8pr/cPPyTyDwcYeE8MqbSPH/+vzwZr8g8ztWxPHQsszxAb8Y8bvTAPGu3xjx7ttk8flrsPIWY4TwmHN88G5bGPFsJuzzYjMM8GOTNPJT6uzyz4bM88JS3PO90zzx3utY8fhLIPIwM1DyPseQ8vOT3PHG98zwG4u08xQL8PFmABT1/Fvk8wAXePB6VvzyPKMk8YEnLPDJIwTzhH8o8aSbJPEEruTzQ86s8w3myPBkWzDzWy9g8PBvmPBP0zDx1vco8YkvFPJi0sDyo+7I87pXMPFensDwAGZk8HnaRPIgFkDyD5488RyGSPBU2mTz8cJY8ZHeVPHwYjzx035884PilPGS2qDxGf6o8Jaq7PAVQtzz0FcQ82k7DPG8AvjwFCrA8KeayPHmusTwHjao8pT+9PD18yjyUruI8kL7ZPGDYyzzsRLI89FmjPM+woDxzsp88+iiwPClSuzxUGMI8pRW+PAF1vDxBobM8Nl6+PAnhvTzi5Lw8yxKrPNUVojx/aqI8QlChPFBHpDzqsr08F7GxPF5YqTwJaq88khOiPDrgxjwlBcw8x0m+PBiPwTxI7bk8o1+pPDEUqTwvXp489KWfPNlRsjxKs7888y6yPDEZvDzucbo8DLe6PPqXuDzFRMU8rS/QPMcLxDyV1cs8emjIPIiO0TzOBOs8d8DuPLy21Dz64ro8AgC9PLWaxzymoMc8s9niPJ186zy2hPs8ifkCPdlrAT3+z/U8ZJDXPOJ6vTx65b8851jNPJZtzzwAjNk855/gPI/C3jz86uo8Ctv9PJAuAj2Odwg98sEGPdPGCj3bxg89XnMSPRFbBz2msgM92ZbyPD0o9jxDIwE9NNkEPSmPEj2zOwk9BuMLPfj3GT2ZrhY9ZtD8POmg8zxragU9h/UBPW1CBz3kxwU9Js8APUCTAz2Y7/48s2UJPfB0Az0vJgI9FFAKPedB+TyLIc88F2TJPIxR4jwU/vY8f230PGje9Tz1A/Y856D4PA2G9DygO8o83z7GPFYH6zzuNe08JIzoPD8w4zxsFtc8R9vXPM+n5zwGXe88tbr3PK8wAT17Kfk8ppcDPTsmBT3AywQ9DBcKPUg8+jwXm/Q8E6UCPQCdET08JA09+WAGPe2WCj0QdQ09WokJPceMAj3uy+o8VAjyPDHFAD3K+Qg96bkIPdxsDT2Mtgg9QvABPdM8DD1XPwE9FYcAPfwlAj0zjwk9VM8PPfQVEj0T0AQ9g4gLPUjdBj0E3wQ9SSgLPcEGDj2a8Qk9jYYPPbZxFD1UPQ49akX/PMD/Aj3xNwk9iZcFPaqfBD2+DfY8tAzsPA3J6TypQu883XTzPHc45jy+2808PiPDPH9uwzwMCb48t2bFPKbmzDzFKdE8h+/SPFMjyjxcbrk8DBvBPBY72Dzjwfs8y/QCPevWyzxLTMQ8i8PDPDyjuDzHkr08NCvBPJcJxzzs/qQ8qNhvPLCKWTyqtEc8B3hbPFWBjjx3HZs8uYGLPINNazyGrUo81jFPPGQIXDwovUg8Pg44PNQTUTynWkw8SNtDPHI0aTwbB3880r1sPLEAcDynT588vEHXPL9iNz0vFYE9oAeMPVGtvj1YjgA+v0kePrFUNz6+vSo+qTdkPhHCQD6cCkA+CfI1Pqu/KT4uO0k+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/50YiPc/Rfz3iPo49y6eVPf0tgz1E02M9IMZcPbvucD0BSHM9c+pbPQZ8Uj1RW1M9MeRQPb+xXz2Zf1w99WZxPVXseD0APpA9WOioPQmDqj05PaA9KQ6SPbowfD0WoXM9uRiOPf18pz12hqs9m3WfPdP6kj0eBJI9ZXCDPb9hhT3PtXc9kxeKPRFQkj2hYZE9q+GBPWmcfj2AJ3E9MB5tPbqdaT0or3A9jcd5PVrodD3w+HI9ILpiPXSnUj1g3UU94thaPSApcz0aEIA9UKRqPTx1YD38KG892U5vPYZbUD0RQ2E9kqh4PWdwgj09WIU9bEGEPenZez2IT4A9m2eCPcDUgD2somg9jmxnPXVwbD3dAWI9spNiPZX7aj0+h2M9vvZlPdG7fD0+IYw9+4x/PacmhD3/Q5I9ulaPPd5hiD0CXGw9AOVKPeRQQD2bLkY9r/g1PQ4aND2NFEM9i21NPa9rRj1sglE9OC1yPbS1fz1vH3o9gwVePW6VVD0pBEc93eVEPbe0VD1GQT49JXMqPTseOT0PWk09/d5UPdpCaz2APWI9gctlPYdZaj2uzFw9cohpPVa8Uj0ZIUE9v+pSPaHnUz3aGFY9ek9OPRaYPz3tJzM95A4lPf2mND0Z2Uc9X2w+PQ7iTD2tV2A9LdRzPZijeT1mMGs9MEN2PfdrdD3lLYI9FGGLPb84fT1M1Ic98ZOAPXsIWz2t7GE98uxdPZXqZT0bMVs9H8lEPdCXUD2i5Ek9uKBUPZJRSj2vhzY9HMM9PU+2Sz1KlEg9sWo3Pe+aPT2nn0o9M+xQPXSNQz2VzEU9I0VmPesNbT1LLoE99OpvPZnBYT2gAlg9vZtAPZzqRj3L4WM9SWN+PXg/ez2OSWU9RXhUPZkuYj3w9F49Fl55PRmVhD1R3nc9hHhVPeWzTz2obEI9AH9EPTFJSD0ptks9o0Y9PSPdPz0e0ls9j61ZPSbhVz0Ntm49F3hjPfC8XT1z4Yk9OSCRPXWfjj3Ph4s9T0qKPUAUlD2urpY9aO2KPXwgaT357089Qd5IPRWuNz1JXlU9TNVuPY83UD3Przg9e4BEPTA4bT3qQ4Q9erWIPSqriT1jJYk9c2mAPQNwZT2cOjQ9CltCPTc/PD1Yq0A9Z9VHPcfiRj0PC089btwzPZltKz2g0xU90EsAPQlI6jy18uQ8ia7uPNZB5zyMg9E8ElDQPM3h4zzqAbw8Vk+vPI4TsTyCn8g8lVvVPPqzyjyrAa083N2sPOjzrjwhzrw8Mqm6PMiCxTxcyME8PdzDPLRX0Tyo/L4843jIPMyZ1zyZftE8RrnKPNV9ujxbvsM8pgLKPCPWwzxxHcc8s6nEPPicwzz93sQ8s+3FPO7FuzzHc7Y8TxuwPNpkrDwC36o8oR+1PJlTwTxzucI87vjOPGLB3Dzza/48O6z9PNZo2zw82u08UcPiPDYF8jyb7/M8cRjoPO82xzxqHNA8U/zXPLFF2zzwHsE8neLJPEzTuzwWrK88XnS4PJYruTyDK7M82WXAPAnZwDxLn648yW+wPFMNwjzk7r08Ufa0PGgQuTx5mbI8UQ+nPNJrrTyeILE891KtPKRi0zx/PtE8B2TPPLew2jxj7908QbfiPLAj4jyHdNs8X7LdPJv6yzzTx+Q8mm/oPIyWzjwL6ss8Z9XCPF1dyzxXQu88Tqb4PGzvBD383wU9Fo3fPGUHujxGbsQ8SpHBPC6/uTyrnKU8DJ2+PLNL2zxxCQQ9GCYFPYp/9Dz2gN08XCzfPBem+TwAZfU8L9LrPAEZ1Txn7rU80QTNPNbNxDysAcU83rjLPLkIzDxVk8k82MDUPC5a1Dxha9M8ZhPkPDRq+zwCsAQ9f9L0PN1P0Tz0O8U8ApG8PK0SpDzmgqg8mvW0PMnolzzv/pI8AnmGPDTxiTze85I8cbWTPE+1lTyF9Zc8MJOQPJAllDwQV5A8x8eEPBrEojz4KM48f529POrWmjz7uYs832mNPDmHlDxocJU8srelPPf+wzxKVrc8aT22PEDSwzzAzcI8pke/PK4jrDwH2as8MwemPNpmnzxBD6M8hmyyPIjrxDyJiMY8SeWqPGJyrDz90bI8v+/PPCt5yzz+8688XrGmPLrMqDy24J48B4WePETrqTzInbE8gsmiPBHLoTxzmqI8I7ukPIkBvjxx/rQ8p5GxPAHfuzwegLM8um+wPKXEtjyVMLU8qiDAPPJ3tzxw6cM8Xy65PHh0wDwjx7c8xJSzPGM1uDxTjs08NV3UPEcfwTy0mrs8HRrAPO6W1TwMxPQ8+PHqPHPA5DwSQ8w8CHiqPHs3pzx5Wrs8dc/CPADs0zylEuc8hOALPbtuET1bRPY89InJPM+ytjymUr48WzHDPCXDxjywI8w8YirNPKlm2DxsOvI8XUT9PHn2Bj3H0RY9X4IfPWjEET22yCI9S74dPX0NEz2UNQI9V/bsPPKc5zygxuo8m6H4PPiOAj0BFAw9VOwKPaREET1M1QY9TK/qPHVe9TyTowM9nloBPaIoDj16AAk9LwQCPQIlBT3chg89XIwVPXFTGj1tfB89P7ILPaP/Bz3+igA9DxHYPDBv5Tzwnfg8NfcCPW16BD0ZoAM9Dkv5PN1+3TzlTM48yxvdPFyy2Tx0Oto8XcPWPB9P6DxKcP08R/n3PB9k+TyX8N08cPfdPGO+5TwYSuU809TqPPSL9Dw+Ev48hMUJPSRrBD3kkfg8AOARPbO1Gz2mhxc9mYcVPQCiEz3FDgc9LAIBPfOQ6jzBkvw8ZDUIPYOPEz12SBg9i5gMPbWGDD30+w490e0QPeShET17FQw9YN4GPSz6CD2AsQk9fq8FPcw/CD1ruRk962kxPRfwGT2UXgU9S+8DPYdbBT0mmwo9wy4IPfddFj3jJBk9lAgGPTgKAT3N2AE9DiMHPcim9zzfWNw8qjzhPFYm6jynv+c8oz7fPHGcyDyco7g8j3irPL1HrTyf8b082k7LPIBUxTx0+cI8OZi3PJ5ItTx3Q9w8s5n/PE8A+jwpV988623lPNOW1zwW48c8/oG6PG4wtzx/Tro8Y4WgPE0LhTwS7VY8+TBRPOMTXzxOHmE8tFBwPD6jcDz65WQ8VdVHPMRxQDxlIkU8hk1WPGtSZzxu2UY8EiVaPJXUXjxlkVk8ythUPBjYiDxIFas8jPoMPT3Mqz3HnAc+jywlPgILMz4glTE+gYobPsUiIj7ekjM+0F1JPgmYVj7eCTc+ReQ9PhFmRj7c6zs+VqI3PntcMD7flCg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Ars4PeHRaD1C7409sS+DPYcOWT2ENmQ97lpoPSLcZz0XBGs9d+lbPbwFbD0sXmg96OF9PVS+gD0VeGE9oCVnPdVzkT13xLE9cW65PfEetj1l8KA9MRt3PV7zfj0IuYA92PKBPWyDkD0dJKA9EtGgPc9vlz2awY89IemkPYlloz2zp4c9taeFPdPtdz1lomY9crtrPRCEdD1953s9mMyBPYgNgD1gHIo9R12DPTIIgj0lCYI9+cx9PQqVdj3a04c93j5xPajPZz0A5mM9+qtiPXvVaz0g7m89VzFqPUu5Xz3B6lQ94t1pPWpPfT3CCW890DxsPbnpbD3DfHg98xaDPUQ2bz1cb2c9dBVpPcOUZz1YEnE9BcdqPWk1bT2YV4A9zhh+PfqTaz3lsHU9TzuMPX4ViD2wgnU9XpJrPQ9WYD3X3089BIBgPW+JVz2O1j491cE+PXfPTj0cW149xRFePQhITT3hL1M9UiRjPQODWD09sUg9+ahFPbrjWj2M8V09OrpfPUrHXz1bl0Y9KUdFPfDBPz344Es9xe5oPbXMVj3cKk09Ef1QPdqlRj0G80M995pIPenaUj2IpU89QvJEPQ8JQT2oo0Q9a21NPSRLRD17+0w9f0ZHPXYCRj1cY0c9Q0RQPYtPWj1wYl09qNNVPbCtcz2VWWc93ItdPRrdVj2yJ2E905tvPeauVz0o31U9pzc/PXrQMz3ujzg9DzlMPU6OXD2l20g9s/kxPZ/gKD0FgDI9RyQ0PairND2zsCk9y80sPV71Lj1Lvy89AKNDPeZbSD3/r109ISZoPV4IZT1fc1o9kIpZPQOTXD2tJFI95cQ+PRpGTj3vfWE9avNYPcd/Uz3dM2I9U5FwPVx7dD3K0H89hfhwPfDHfD0yNno9dUd0PaIMcz3YrXE9E4dsPc7YcD0Czmw940FYPas1RD37+jc9hl0vPXLgSD0ffUs9CKhaPSdMZD1BDGg9lbNxPT3wgj0d2Yw9qQySPXz0iz1B8Xs9+ZJwPTd2fD2awI09zD98PTQxQj3fFj49sHZPPSptZD2DyHk9E3+CPbPJcz2/3VM9u1hRPWIMdD1fdnE9uMNzPTyUcT1qE1Y9tnpCPXnOJj1NVyQ9PHAzPZr8OT2gLUA9UTk3PSGsJj0wICM9WJYqPZviDz04Be080ebhPBSz9zwqkQY91OLgPK8fyTxwxMI8BGK8PE7cxDwJl6Q8Ms2yPCMFuTzW4qs8qom8PLy0yTznWrY86DKlPOjqrTyFYKg83emrPP3jrDzm5K08qNy/PCWN0zz8rdI8ttPOPMgr3jxt3to8vpbHPDUwxjwSULY8ev/YPLGM0jyNTb08CRfOPBBxzTys/Ng8uta8PF7BrzwQlaU8eV+hPPDYmzwBvq88Uu3HPFPfyTyRv8w8V7nUPLCT0zxsQuo8ynvZPNeO3DzM1+E8C9rePNI+zjx+gcI8MHrGPNU+wzyC5s08kBvbPC7ozjwCoMY830DIPOWGvDzghsM8dZfKPMagyDztUsI8MJvSPK4B2DzRms48DNnZPF0n1Tzj+NI89RXIPEyKxDyw5sQ8Q5++POGdsTwmN7o8cl7EPHImyDxfncQ8E1XVPATf4DzlOe88Rfn2PHQJ7Tzdze48hkj1PIwdAj1AKgg9rj0IPUGE9TwwsOk8n5HlPJ9q6jz5tvg8P5DoPLCq6zwptug8B0vFPHoWtDz3YbY8dhC0PNRWtzyglcw8jVINPYj0ET3/KwE9u4bxPLUX7TxNXNs8Gx/YPGLL1Tzr7908+yvVPIINtTyCTLM8No3MPP0f7DwlztY8GaPGPPjftjyEuMc8UTrTPM+k2TxdzNo8hqP5PFTEAT3Zpu48wZj1PChEvjxB/Kc8kcGbPEOsjzzAu5s8vK2iPHevqjym5Kw8qYiVPEY/ozwjGpo8KrWNPKqTnDwjT5o8xiufPDnyoDyOD5w8aCOkPJS5jTysQYY8B9eKPMpvjTwmUa88miimPCMcljyh5aE8FfeiPIzulzwdnZQ8UbSWPH63pTzTjK485JqgPBWNmTyDQ6o8H9KrPIL/ozz/9LA8MUm9PFIrvjyvN8Y8ukS0PJFsrTxz3MQ82k/QPFrHwzznIqQ8PPqcPBETnjxv0ZI8XUeUPOZlqDxKEaE8ALWcPEXQpTwMlaY8i+OqPGgIrjxqULo8AKa3PCpHwTw/d708lFe8PGHCvTwuO708y/S9PIKjuzz7Qrg8YR+rPBK/sTzPXrc883u6PNAUtDxhOK08RrapPH0gwTysIsk8+t7UPDXN2DwR1d48vw7aPMJM3Txm3L88GimzPKwqwTxMfs08LQPDPKxP0zw3b+88MLrrPMpD4jy1rcc8ydG1PHeeuTz7IsY8ATLDPOl4uzy+N848NgHdPCZU4zxUEwA9/yMJPUGECT0TcQk9osQEPdxFAj2fCww91rkXPRxIIT3HThU9Mij8PDYY5jw2cvg8zWUBPdm7AT0flf48nRH0PLCF/jxdnvc8AZ73PHqF/zwMQAg9L6gGPdp3Bz10zQ09rtkTPVrdEz1N3fo8wvLvPKhe/jyd8Qc9EnASPVExBT0/r/M8/Z3ePNDb7jynNwE9euDvPGfV5DwTd+s8jgjqPOf00zyWIdE8wNDOPHaT0Dy2eOU8HzLkPHBA4jw5Ae0879n0PLgr9jz2QPk8wLL9PHlU+DxQOv48ONT8PDILAT25gw09oIYMPSZUET2wxRE9n8wWPS+qIz2V3hc9ra3+PElh6jyxpOw8LBvjPO0q4zxGPvQ8bswGPT1oDT1CBQ89oy0lPTDRGD1FyP48HEwKPXfqDz3ofwU9fq0DPenBBj0QKgc9YLsePep1Lz0e4yE9EFUQPZ+04TzBeNQ8lAP0PMfQ6Tyt9Oc8W8LhPAiZ5zw65vg8PO4LPZKVCj2VY/08LkT3PNwsAz10rwk9XcgLPW7k/jwELts8m4a2PI27pjwYDKU8XpurPC8Ltjy627488I3XPNPU4jwvnsY8zQm4PJeyuDwhz9o8q2UIPXFG+zzmd+08viDNPP2lqTy2XcA8bNi3PC+zpTy5k5o8uqaDPEwufDxRmnA85pNWPA3CZzzuY3c8bBJ5PIfIXjwJUEs8whQqPFnxRTw0LF48vlN0PPKmZzwBq0g8tbxePKGajTzcVPg8W6VXPQblsD2cAgw+u5EwPppIUD7rkzE+D7E1PriVUj5jIzI+xGcxPtFrOT69gS4+vTQlPtusLz739jg+BEw1PtSxMj5TflA+JrluPmb9Wj6Ln0U+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/b2zuPMSzJz0WLjg9++MBPSF5GD1EMUw9uHe9PMrc3DwwcT49r/dKPZGsMT3YLFk9V9KEPRNiZD1PG1M9PgVpPbseiT3GBKA93zKRPVcSgD2RVGI9GP5iPYIUaz02Gmw9N7yCPUPAij2diZc9I/CRPU+ejz3SBp09yqGlPb2ukj1oRYQ9P/BuPbuaTD3lZ0c9YbJUPWS5Zj2vrYU92dSRPQVElT3Z75g9JiOUPVfqnT3KbKU9aGWmPZicqz0ei6g91vmSPQ3gbz1hFWI9DQdkPevxWz2Ek1A9/tRAPZh/Qz1gBGA9u3t8PRgNiD1hL2o9XlFJPUyaSz2amGQ9SVlSPf8gTT3jcFw94KFzPUUHgz3g/IY9dqNhPQFRaj3hJ4M9SgOMPYyziz2tgJE9SBWbPbQ5hD3S6FI9E3NAPTi6Qj2aeUc9r+tbPf4ScD2DY3c9VAyJPWNQfj2RmnI9tg59PZKgWT2D3EA9eOQ5Pf8nOj0+oj499ApIPdR/TD2xbEg9L11PPffUUD23RTk9frZJPa8lQj1RijI9vlEzPZ8xNz3v7Dc9OKZNPdkCXj1Scm89+ldrPUIFVz3jRUM9ZhxDPaQ7QT3eIEo9HWZXPYVeSD2SWV09mCFsPcjOZz2azHA98gtyPQV+Sz26ozo9ews+PZphPT3ESRg9OI0WPdUoKz1U5TU9BaxAPfTSMT0I+ik9O+IlPbPOMj08uzo9VxRIPZ3SRT1OETM9pXA3PSnjOj2rP0g9ggdLPac8QD3bA1E9kndWPdf3Oz3jBTc9rBFBPYOZVj2Uo189IxFHPfigNz3UdUw9SJZXPZ07Xj1VT1s9V19ePVBKYD1pY2A9pCJoPUYcdT2rh4A9Zpx0PbsKeD232Ho9qFR4Pdx/eD1sY2k9Txl3PRtPhT1HiYc9xd56Pf02gT3sS3M94hFzPS3ZWj2FxUI9dZ1APcIvTD3QHlU9aKRXPXJAVT19Hmc9DGiAPZL8fT2wqHY9ag14PTYkfz3AInw9q895PTtxjz0ccZU9AyZ1PXNEaD1pdHM93LRfPcHeaT2Q+HU9Wq9fPXXiWj0wv1I9EMJFPatvTD15TVA9gM0+PWXFNz0s8jc9zjZAPfrOST37fTM9tI41Pe7UTj0puUw9c0kpPSQyED0u7QM9DtvsPCy24DyfKNQ8UvbQPKA6wjwfb7s81GKyPGQIojzlra888OW6PLguyzwTWro8iEGyPGtjxTwpOr48s0G4PMRYvjxoiLI8EC2qPIObqTz9D7g8Z+PNPLd3yDz6qbQ8WPivPKwxrzzBjrw8VfDYPLAE0TxSgOA87yjMPJx21TxslMc8nuLDPBT91Twte9A8xHbGPOY2wzz1mLU8yyKqPKbSmTy1pqU8F1ajPOKltDwtJLo8PfrAPOekzTyFZs0834HWPCjZ1DyG++I8bqHpPGDo5jwV68U86zHRPNUx2jwTS9o8HEXHPKRBujyCmsI8OpbbPGzG3jxunsU8gRO1PAJSvjwhItE8TH/QPN/a3Dwsn9880BLVPA3v7Dylvuk8bTXLPBd5vzwl87U8oIjFPL0yyTzbw9E8KxHWPI0c2jwfRtw8UNnVPAcn3jx9qNI8pD7pPGal4zxsAd48s13wPAXaCz0V9xM9y6EOPQxyCz0QxwU9NZzqPGZU9zy9U/U8Nm74PLBZ7zyk7Oo8zVfVPBe8zDzVc8k825fJPKfcxDxiPsY8ionRPP5A2jxkM+M8aDT0PEVd3jzOO9g8PfXlPJcN4jw168o8ULXGPE1ixzw77ck8Y16yPCFFvjx84Mw8xQXePLxy6TzIz948MRjbPOC3zDxdYNo8rffgPMhN5zxZh+08DnfaPFMrwTzWbrg8u9KoPITSozy3i6Y8XjGoPBWTrjy/xc08YpfEPCwgqjys/ZQ8kiCbPCBBqzzUzaM8++2nPG0dqzy2ELI84JGoPPjjuTx+Vbk8jRmuPMy5oTzfiaU8OGmsPBahozyXC588yDOxPJsi1jzXuMk8rmS7PCJOrzxXqac8FdmrPLYauTxIbr48ekHCPNhxvDzetqs8arCzPALgsjyz5bc8qty5PN2NrzwoTLE8ypOwPB7Btjwl1b88Z93EPM1BtTw5q6k8y76pPIugnzxrYpw8EmWePDiqpTxnsac8C/SRPBV7lTyDBaw8RwWuPBxrtDwoTbA8tbusPIbCsjxHtrM8v7S3PJGQvzznPLo8OVSxPM9BpjxFuKU8G26sPLzcxzye/Ls8D2+0PFRisTyL1Lo8FpG0PPVttzyYks88LU/2PBf/+TzlhNo8zXnKPJgIxDwZ6rQ8J7+vPP4dxTxdAeM8tx7iPB/M8Txv7Og8nVLPPBejyzzFiNU8fwPRPM9ayDxBMc88T5HZPM1b0TyMiNk82CbgPP263zwsMOE8oHHcPLwb5Tz+4+487zr2PDxpAj0VRAY9/fsIPcytEz2q1gg9GkbwPN3bAT1JVAk9898APXgGDT3ulgU9cTT8PL1d6jwULvM8jEsAPdE6Cj0PUgg9oRcMPbg2Dz0PGxE9mmAPPW9rBD0waPg8PQoAPbVgCT2QQxA9FsUJPS1b+Tz6LOI83EnXPLE60jy97d88O0/iPGK08DzL7PU8B8/fPAps4DzpL+c8JrnjPDy85DyVnt08C1vePEWh6jy/IuM8alToPAOL4TyyV/E8j1ABPUNk8TzhBe88e7nsPGJd/zxe9Ac9k4cLPb3+Iz3+6RI9oOUDPb+jAz00KfE8Zav6PASYAT25AfM8rLPePOpl8zy+aw49bK8QPTTsDT3K2Bo9QrQfPWf5CD35FgQ9ZbgLPRaPBj3oAQQ9/dMDPci67Tw3Ses8a3EDPY01FD1WyxE9G00OPe3RBT1Q3fM82rXoPHon6Dy6dvM87g8APeYI5zwgvuo8mdkBPa/FAj3RUwc9ERsBPchT+zy+6t8805fwPFUi3jwWkdc8WmbJPJmiuTyFG608tdSyPME/xjwogts8V9HTPEaD4Dx+69A8jCK5PGnGuzwym9g8R7nsPMVU7DwatuQ84DPAPIanrzzFSqw8xoGoPN24ljwTFI08R6xzPIA6czxMioE8ZyyCPC8JbTzqanI8qGhiPKBNXDwy/VU8D2hjPHG+azx0Qj88SalpPLmmzjywokc9BdHBPU2PCz7KXys++5c1PgulRj43STA+xeU3PidDNz6/BUk+p18xPkk3Nz6X9i4+SrosPssDLj6U2DU+ZNs0PrN4MT7d2zY+KLQ0Pg04LD4MfDs+YyRDPllIPz6WGTg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0yuJz2sRC09Nwg2PYi2Xj1L/mE9F/pVPWrmYzzCIKY82GE+Pci8VD3tuCU9VIBIPQZycz35TCs9GrxNPR4OiT2s84k9nOZsPfPnZD0uKXU9hDVZPXkVST1ahlM9PappPXkrYT2dtIg9SNyTPexblT1AlJI9C6eWPcdknz3p+Jo95yeSPVTYgD2D5YM9tqlxPasLaD3T8WQ9HoFbPZtmUT0wZ0U90F9KPVY2Uz3SQXU9DsN9PcGHWj2rslg9XBxkPbIWYD14gl49cvZXPYxcVj3PVGE92GKAPQxzgz3OW3s9MLqCPX8Tgz2bZZM9YAiKPc2Ygj1/QI49tKOVPYnoZz0pjTk9qVdEPXkrQz2531k9W5NfPTSffj1fsIg9TUWPPfgvij0cBNQ9h9TBPVjmSj1mXz89/wI5Pd41Qz3h2UI9PfxPPT+UTT34y1Y9aTxpPYdVVT0xIz899ChGPZDFPz0jkDw9z0Y6PYlFJT2XLjM9Bl1NPSgRSj0Uyk49HY9kPQu+Rz2WyjY9qxw8PbFSOD2u6Dk9cHZJPUE2Wj3+xFs9/cFkPcBfgD1zJn49j4RYPe/UOD3RxSE9oL4ZPS6vEj0m/xI96y4RPZ7RGz0lqys9Qj87PUvWOj1ZjD89ds0/PVt6Qz3pnkE900I8PbsJOD2+gDQ9hF9KPf78UT3dNEY9/GFAPQ+SUz0gCVY9NZlHPaAAPz3oVUg96gdRPX5vVj2Va189JvdVPfltXj0hym09CYdvPa5rbz2LEHM96MpnPRwodj1HbXs9Ox+APSYxeD31Roc9Y6Z0PYHrXz3Gd1s9XRVePUqJWz0XGYE9GF6JPc6njD04I5Q96OKFPRQdhD1O6og9ws1vPaqubj3gO2I9rH1MPVOOPT0X0U89e/5qPegygT3qCYk9ns6MPTgvfT3fgHE9B61uPXvEgj0Ho5E92bmDPUwnez1VWHA9bPpZPfzgaT2x72E9FTJlPZSzaT0muFs9UQw5Pau3Mj1NRDQ9pbEpPUSBJT0OBSM9ygciPfAHJz0MfkQ95NFiPVfrZD1SZB09+DYMPdBoEj3nIxY94L33PGZl3TwzPs08xLHEPDHdxTxMfb08GCfCPA3ZuDxbdbo8cdzJPFWaqjyz6Lk8+H/FPDMpuTwh2LM830W+PNxhzTzPysE8Kfa3PBn9wzxiTMo8VJbMPNtGuTxaD708WRa2PLKVszy64K88IKewPPnyujyIks48dtjcPFXW2TwaZ908oDvfPEuCzTyoKdI8aqLMPOkMxDwkO7g8p0uxPHgDqzykTq48py6zPLMlpjzeqKo83i2xPDt4rjw1Gro8KWu+PCZ3zTxwBs88t/rXPEgb1DxCxew8uezkPMsfvDxzDcA8ja7NPG9CxjycscQ8HdfiPLq67Dxy6tM8lHu7PB4CxTyPlr48NIfAPB9l1DzH2dg8Ne/lPNCP9jx9qPQ8PZ7fPDHT1jwBeMY8Q/C+PEBqujy8Hrc80orAPNOAyTxf7Mg85pTKPJY+1jyvVOk8Lyr0PC1U5Twjo+E8p3vePFpy5DxfhPA8Ac/8PIrJ7jxt2QE9/oMNPdUAAT2f5vo8jeHvPAkZ5DwRrvY8Uqr5PC/p6TzvV848zlLNPLUXzDy3cug8eD/lPN6G5Dwd+f0803v0PMYL7Dy2M+o8BgPQPMv85TxvHvE81eD7PBPR9Tzi6Nk8zpHFPNu9uDxdXrk8H069PLhfyDyTKtg8kozjPO0xzjwt7d08Y+btPEXb8TzMRu88J637PJj17zwFldw8iNnLPEKWwTxbMKA8vf+PPHjHozxJ6q08/huzPO3Qrzzoja08wXSpPEr3qzywrKQ8qm2jPBxDnjwD/5U882KmPDHkqjxgMbQ8lV3GPJMg0Tx+ocw8q6LKPFScxDyvZLo8zaivPAP1sDyQ/7A8JbHDPCaozzxiBdI8ruqyPHg2sjwyhLU8F7W8POJL0jykR9c8zzbyPHUn5DyUQcA8WTa9PKFBwDzeRLo8F2u3PERsuDyelaE8q/qgPNuIpjyqDLI8uVi5PGVwtDybt6Y8rDuqPBBJqDyHS5I8PaWQPMZ7mDwUMqI8oRaaPCWLnTxVz548+xygPJCXpDxsH6w8uPa6PJW3vjw/+sk83PXIPGpT5zy6F9g8DYWyPO6ctzxQAr484lOvPIh/wzx1h6w8leqqPGtnuzxZDtM8QufWPMnE2DwIpNM8mWO/PN12tDzZWKo8fg6vPIFtwTwJA708hwa7PFdy0jzWjuA8a+ztPLfC5jyzLN48pubMPLMz0TzSc9I8xMvaPMBg1zyaT9I8SQjQPKMN0zwrJOA8vfEAPd2/Cz0qvQI9aZHyPPC+7jyjqfs8NGMEPV+0Bz1X0Qc99cYHPbIl9zwvXvk8ozPwPE3q/Dw4nwI9nN4NPd8oGT1ESgg9t2YAPUOy+TyywPQ89gvuPN4y9DxGnv888LwKPQRyFD1FZAI9kOYBPRsu9zxPUf486L/4PIzT8Txcm+c8xWnhPJPW5jzMXOA8i8XWPF9P3zyjTeI8MFj9PETaAD092Og8FF3fPKrf6jx8Q/E80jfzPCiN6jxseeo8jAPdPOvBwDw1YL48iEXRPJzKzTx6GOo8IUX7PHI1/Dy+++88p3n+PHMiAj25WQY91LcFPbauDT2a/w09Nf36PNtJ3zzfKe08fvkCPbPSAz2KoPQ85QjcPJnF5jyqO/08pOIGPQE4CD0+JRU95/8VPTszCz3P3wk972UBPVxVAD2bNwQ9pMD3PEw08jxTwvw8iaUKPXdECz2gews95Aj/PBdm+DwJ0+s8kTHpPIlY4TwJ8QA9ILADPSyv3jyv4eY8oIz5POLS/jzou/I8m6nhPMLuuzz/FKk8EGq4PP53uzxSrL08PeWvPMw/uzz9Srg8vRm9PHnjwTxfudc8Bf3kPO8c4jxGb8k8NlbHPHrewDxV4ck8UFHXPHyT3DzoHM08EhPKPA+FtDyNoZo8R6KNPDJShTw4q3U8d46CPI73hTx0a3E8id9nPCMAezw7g3E8o+xyPDm4hTzARJQ8emQjPTFeeT0497o9opAdPv9TIT6ash8+lDdLPn1WLT7X9VY+wfgmPviDQj6g6jg+N1IuPsYoJz7guzY+984pPqGvKj6RZiY+owgiPmbVMz6JCTo+OXM1PgrXLD4S9jg+byg+PugXQD7ZnTQ+5bxAPrdvPj5gv0s+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8YjRw8o20bPbIsdD31umM9H04UPTxJBj3IbFs9AxCIPHit7DywDTE9IqcqPSIuBz2hC249Uk6MPewdOD0JgVA9LGaGPc1nez0phXA9i+hiPZi4Tz3JNUQ9aAxdPcKrRD1TxUc9EdJQPZRTYz2zV2k9vU9PPXXOSj039FM9re9lPZAWcT1MkXI9UfNxPUGUeD19E3U9EJZoPWFTcD14xoA9hAmIPXyhkz1um409jfhyPZyufT04Nog9HZSYPSpMnj1l15o9w+GBPcuRTD0KmTM9dsU4PZFsWz1ByGI9FqdfPaCUZz2cmYk9ZkOaPRkZnj3SEb8+8dABP9IdfD1rwjk98cE0PS9VUz0PyXU9lcBiPZ5RUD0Mml89eQ9oPY0scj2u3VE9LMI7PdB7Pj22V1I9hFA3PZ3dLz37Kjk90wFLPd2eSz3DaTs9Pdg7PRipOz3/EC49YbYyPSy0Oz2PRz49k/5RPc4oSj31I1E92flPPSM0QD1MUDE9PapFPeWYMz2D/SY9N4k0Pb5QPT1HXiU9+RIaPXkjMj1AXzo90j81PRr2Oj2ghkQ9eOVMPfeaTz0PHUU9QlM3PabHND2MoFA9V6pOPUNVRz1BT0E9mDY+PXFwST0QFFU9Ra5TPTe+UT1qWVY99vpWPbyPYj2K7Vo9pxtWPUP6az2n4mg97zZjPb6vZj2RA4o9wEaSPQpWej1Q6oA9hSeKPQ6JfD2RR209EWxePY1ncD3UPlU9XxFSPTlybz11soU95I9pPZTPaT3vA4c9a5R+PbUmez2bong9tZx/PRSsfT0y7GU9holkPTGRej05D4c9D5aTPSgNiT3eI4I9t3GCPWFkfD12UH49ElVnPZKJWD1fNGA9g7NWPVpMRT3PMTk9k8VKPXw2Wj1wmG89X3R1PZt8Uz1zaDM9BwkwPa8QOT1m5C89BvwbPbduIj19jhk9UmscPS7UDj0+vw4940gQPeXQCj3nEwI9aGv9PB3KAT1A++A8sxriPKQx9jwhu+k8dBLrPFaqzzzZy8Q8y2DKPKiL5zxFXvg8A33bPN/pzjzZE/k8oOHYPF6y1DyQl8o8DvvePPzN5TxxEtE8U0LHPDt7yjxivMA8l8TCPM9PtTzhEKo8c4rFPHYlwDzhPqs88rWyPI+GrjzJZNA8qiDJPH0F1jw6LsE85bXBPEZ2xzwKyNM80ZTWPIaH1TzHrME8iuG9PKuHrTwi3q08fYWYPOGBqTw6+K483tWtPEauwjx6+s08ZJDUPBUa1zyikdA8oQC/PBG12DynVNQ8Sr7IPPUTyTy6itI8DLO/PGk5vDxeG9w8KxvpPFq86jzXfMw8C1PCPBkD6zzGYN08DEPWPJJm3zzJHPE8y973POsp7jxt+vM8nTm9PO5vsTxUBqw8bFfPPNJfzzyqgNM8QHXOPNxb0zx7AcY8gHLePLDR6zyxQeU8p8ffPGHz0jxLK+Y8g+D4PLlo6TyF9t889sPvPAXn5zys9+g8G8D2PMW19jwnxv48Q+jxPFzN8TztvdY86XfEPLJj0Dw/s+Q8METIPICbxTwiW+A852PjPGY7Bj3l/RU9mogRPcyu8jx0x+88c47bPFFy4zyOUdo8yurbPM2o3zy198M8HhzHPCGOxjx+Vck8Xp7YPFYt9DwdR+w8sZ/nPNFB6jwn4fg8gWYAPSvn7Dyp0ew80v/uPEKJ2DwgIcE8PZWtPA5CtzwEAbs8+dCsPGTypzwwhLE8v4KvPNCOpTydMpU8bpCoPAkctTxHI6s8H7SdPHlpmTy216E8BOasPJRpszyeg8c81zzVPAOYyjxCIrk86T+iPCvtoTzGsZo8rSesPNV+vDzmx6o8xIWsPLWopTzFuaI8SeypPJW/wDyc2888QkHhPGXl6DxCx8E828rbPCLB6TwXWcQ8F828PCsLwjwBl7c8CsKrPHaOrTw347E8n/KtPLhKpzxmcaY8fKSqPLJwqTwdLaI8ZFKoPOcmqDyH1p08QgWbPHKimzwBHao8MRWwPA/cjzwKMpo8PUGcPE5ejjyK9ZY8PZSvPHwNuzyH+8g8EFrOPGwF2TwIns08YWq2PKLltTz7sKc8E7CvPENqrzzET6M83HKpPHkkrTzQ1rg8EsO9PMBlvTxRxLY8MwyqPBqvrTyALrU8QJK6PBGaujwecb089lPcPOfa2zxVaNU83LXVPIvp7jwwxPU8riflPNVE6zzeHeQ8dO7GPE+/vTwqj848N+LRPH/R2TydMPk8kpYHPepBFj3H+xE9eaEHPQJN/Dw2vuo8pfnsPOjY9zzFC/U84yXgPGNY3jywOOo8xsrlPDNz5jzw5t08LuT2PAv6DD2S6wg9lKcFPQqXAT1WAf48d2zyPOn9+TzacAY9xAP3PHho+Dz/4wE9DiEKPeZUBD1M8fQ8WojuPIG66jwJitw87xbcPOIQ3jy1xe0893vfPP5MyDz9+MA8JMTVPIe61jztZd08xljkPMNb9DxMNAQ9xU/sPLmT6jx93/M81uj/PDdM5jxr3Nw8Ig/nPDR15TyqofY8J27uPIcQ9zz4wfc8IK8EPR04AD3xcvc8JiLqPL8j/DyQHQI9A7zwPM6C8jyw7OU8FVLjPIYd3DxpS+o8va7YPFoO3DxF/gA9SBsBPSikET2PDhA9MqIPPcOrBT3N7wg95CUGPT1eAz00OOk8DDngPCEn+TwfWgo9VyMOPTNgBj3U+gA9kR4CPdui+jyN6f48u5DvPA+h9jzMdgU97LfxPB+L0jwuf+M82ynkPGsD2zz6m+k8E2rWPIamojypRq882jTGPMyWvTzSi8E8FAS0PP68oTz8kKs8DMarPKKiwTyKrdQ8FurMPFZ00Dzs0Mg8vSbEPFI5vzwWwcU8HOPMPIqPxzw/GM48HWrZPDqntjxJQ4g8Sbl4PFq3bDxKl4M8eV6API2jgjwEaoE8OFeMPGZW7Dz+FJU9V2jJPeJs9T3uoCU+lW0+Pi9tNz6u6S8+G4BTPip9Pj4D7kg+6MpRPuvDKD7qVRc+gxQpPoLMKj4SNyA+QY8QPjONND6ugFI+1JYtPugWFT6zxCo+1vw1Ps2KLD79qUo+aF5QPtscOj4XfjM+wu1JPjuYaD5Ak0k+2mFWPsS5RT5zwyE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/xHQI9BNs+PUXwHj1Awjc9dN9GPUp9Qj1d4Lw8qcfkPHJeGT33QTc9Mbo4PYloNj1pEWI9dJ5FPUl4Tz1C5nc9CkVdPWzVWT3w52Y9lUiCPcB7ij0OiJE9NTaHPbChkD0SSpE9d7miPfrSrD0Dgok9VdxHPW6cUT1+ols9O4RwPYnpZD35QXE9zOOAPXZlez3jE4w9CKmjPZhmlz0iO3Q97f5YPaaWNz08oEE9Uc9cPYXTYD0gWW09EYxjPRGMbT0UJn49NIOAPUAjbT3pdEg9w2A7PfK1ST3PEU49RS5CPR7iST3V40c9wM1EPZdVOj1lBUY9dhZLPZBsRz24h0I9Pds4PZR+Pz3mgDw9e5dWPfiKVz0uwlo9+DpePfdVRT1/Xyw9BdkxPaPhJj0mgyU9eHowPflrSD2hG0I9Y3I+PWsgQT278D49d047PRDdOD1oa1A97VJVPUlCUj0fYT89bCs/PS7iRz0BoEw9J49TPbr2WD3pxVw9kDdYPYVMbj2w+GI9HABTPWkbWj0r52M9c19xPSY7aT2izlc99x5QPXDXVj0p3l49tVVlPfVRZz3hqVc9sUJmPR1JXT2Efl09qK11PY+xaz2xTW098T1vPRIUZD0rXVw9pTRpPdZ6bj07v2w9mDdZPS+0Uz3jdE49rIVJPd8kbj3eoW89EGyGPXn/hj3A8YA99eSEPSLwhz1xvIU9RIp7PXZ7eD1wWGc9H0NYPUbecz1mznA9P0RePcKgTT2bbDQ9WNc1PatRMD1UBDA9LEtVPSoPcT29BXA99NBkPQc+OD06Bio9eDsqPf12JD2hOC497qwmPXrhIj2CPhE9C9XyPKNMwTwXmc08QV4BPRyP/zxAQcs8wiDUPK8b+DxNSuM81NjpPFBc5zxV5uo8QB35PBKb4Dw3e+s82OLePCVI3TzqE/E81jDaPG320DzwPto8YN65PLC5pDzbba88Nxe8PAiC1zx7Y9o8Ak/XPFBrxTxYmcQ8FpbEPIpk1DyRVNA8rkW/PM5Ewzz7l7M86PzAPFrVujxVYL880gTDPHsGzTxtjs882O3PPGs35zzMkwc9kszTPEEIxzwPtcM8iHG4PG5JuzxSQbs8+Te1PPP5sDyN06g8l0zAPF9O0jx0YLo8rTC+PNw5uTz2L748JDraPOHv4jw/DtE8q1bOPDFQxzxaFM08bQ/cPAjH5TzScuQ8t/LaPHHH2Tza5vY8kQH/PNRQ/jynLu08UErmPIVz1zzMdM08OG/BPH5GzjxrO888+YzBPDKJszwzprU8aRDSPFU4zzzelss86IXNPH55zTwJU948PyHXPAdG3TzTxc48y4rXPKWw8DxmYQI9BJgLPZdJBz21swY9y0oHPeM8Bz2XnAM9J6ruPDcn9jzyFfo8bCXkPAKuxDzBCtQ8HA/ZPNhj2zw8O+M8xoLcPCpy4zzPZwU9QkwGPVV2Aj3pVfg8Gj32PD7qAz2huA497IbJPDOUqzx1AaQ8QpyuPB9ywjzJ3cM8abjCPFvX1Dxx29s89xUCPaPDDz3BAAE9RdX/PJviET2saho9Nl0aPb0iFD3UGQI9eOXiPAuX1Ty+fq08ldCePHiJpTyiA7E8kWOrPNe7qTwtOqM8JrepPPIgoTz/e5082oaiPDZvszw+Vr08Ag+8PIbMsDy1V7Q8YuS+PAwTzjz+bM48quKzPHVcmzwoe5w8CXyRPMDgljx576M8XbukPMRgozyXdI48+QuNPCfkmzzvP7c8S9/CPMUAzDxL5cM84yG8PKl1rDwNOaM8La+vPEQEsjzUwLM8mcC7PBrtuTxOsbs8OOTCPF/QuzxpPqY8NVCjPLF/ozxEa6A8o5aRPGSpjTyos6Q8rmyzPDLSpzxM65o88aKVPDqsmDz9LJY8TCqUPIVEnjz6qpc8B4qNPC5DkDx9EqI8do+2PP6ZxzzxmNU8MGLCPFJ7vTyBgLs87hbAPCnmsDzeTKg8zAmpPO85ojxITpM8d5afPDcJnjzuL5U8LZeoPBXStzzNpbw8OO+7PKuTzDxp0NA84/3XPKQnzjzCh9489KfwPB4K4zw1o948RJ/qPGfP7TynFeE8urz3PMGp2zx6ArE81ze7PKzjyDxObMQ8uAXIPDwe1jxesOw8zeoDPQjI/Dz+FvY8nEf1PHx4/DzALAA9Y68JPfAyBT3Dnu48amfsPFDA9jw+dus8hEfcPLE13zzRb9M8W8jdPGWC+Tz8cwY9N8wJPULZAT3yse08tOLlPMLe4zw0C+o8jfvpPHZp7zx0CwE9gg37PCxa8jzfTvs8Qfb5PPpp8Dw/gdw8hpfRPNvY2DxFDNs8i9DSPNrM0DyJq9A8pMLRPDsV1TzVbM48YA/ePHns6zwxue887ZT6PLkBAj1Gh/A81/vnPMn85Tx/GtY88u7KPO9Z2zx6ht881uHkPHW+/jxX7AY9B3v2PDMrBj0f1ws9XUwCPQ6V+Dx1d948V7HlPChD9Ty/mO889XDvPGHbAz3wagQ9yYAEPQQfBT27/v08Pmr5PHKg/DzEMvs8mkv+POcmAD1NtQo9qb0IPYXd9zwEduo84MfmPKTm6Ty4A/w8unz3PKZF6zxmKvg8v6UDPRkWAT04bfQ8VQfpPPpL4DwqKdk8bZ/EPEeitTyxDbo8PqG2PBgIwzxVQc08dz+4PJGSozxrhZk8IH6sPEO1vjyLSrA8QY2hPElmmjwfFZ08wlWjPBXZujy1N8U8CBPFPFvxyDzKDMs8lFjFPFURyzzVDs48Vz3LPN/iwTyz0dA8TTGzPHgxljyA4nY8hwdwPO6NkDwwsJs8sgqNPG3Tjjz/WI48vl6xPEgL7z1wM1Q+onNSPgpGRT7hjUc+nXlGPgcPOj4muCU+sSArPgKPNj4FQjs+CDk9PgAEMT4W2jU+o64yPr71Lz5YNB4+Zc8mPotUSj5rlC4+bIBAPtMSMT5a7io+zL1DPonbQj5ttTQ+pbZRPuysVT41XSs+sYAYPkqPRT6FOUk+IytQPqR3Kz7nNgc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/7LlLO8qOyjxGeFk91VYmPQk7AT2Fqxc9Gt5GPatYDz0K30w9dtZIPTjlOj1noks9pMFQPZNllz2UvFI9IQFTPagEVT1NkGc99UNdPQ7gbj3Dv4c9xGODPRsxhT2TyoM9ncZ3PYKVcT1Wq0Y9YgI3PbsqOj1p6lU91GZhPYVocz0IL3Q9Blp/PWUYhT3YYIU9DYpMPdijTD3r50I9ZeZEPZY/Sz1CP109FKRYPRF0Pj3t8iU9D68pPe6tMD1itTQ94kE9PTluPT3Qxzs9Za1HPYUsaj13flo9WJ1cPSJOaj0OJ189DGFYPfl7Sz3jFTA9/lQzPT36Mj28uC895PU0PTo4Wz0z9nE9mzpYPf0bQj1gTjg9nvpNPXWgTj1PdFw9IjRYPfPPTz1TDFE9/jhYPUDjcj25OGo92N9dPfvQYj0os149d59YPUGGdD0U34c9puKFPecbhz09J3o9rUFzPQSaTD0h3VI9hONMPZbXVj08w1099yx2PR8rbD3dzFQ9WedTPSYrUD0o91o9DoeCPWhXgT2XQ3g9obNsPfS/eD32SYE9nayEPcPkfj2D4mE9lLZePSQAVD0Sm1s90E1hPW/7dD2sn3Y9OOplPUJ/cz3xZms96xuGPTsUgz3tV3E9/3hhPTIAXD1sd2Q9KFNbPZA9Zj0fdlk9qt5IPWVNOD3RnzY9n+g1PSVZKz2AOjA9ckI/PeQrQz2gWUE9LDcnPfxLMD2cJjQ9ruBMPT2vTT2NxDw9EkE3PTubLz3sEiM9MXHzPCzizzwvkNI8+sLpPMG40Dzyr8c8hCa4POmxvjwHzrk8dTG0PLftwjxFWME8H1zPPFu31DwReN88LH7MPPIlyjwbWdM8VbvPPDm10zzvvsk8a126PM0KszxIrcc8HkC7PCBx0TwWn9o84rfRPFjkwDwhm608zLS4PHTr8zw9p+k8i7G+PEM9szw18bI8ev/RPGIf0jxYjMc8YxjMPGYAzzx0Mew8gIrgPFxg5TyP6+Y8il3MPIkXtzzImb48KwXDPEX0yDwk6708/SazPHjbqTwM0rU80vnMPMEt0DxwV8M8MxDKPCfWzDzfrsM87WzUPBpsxzz4/7Y8Y7quPMCvujzijtM8tBnrPMMW5jxY/848lofZPH3f5TxxG+Q8xobePDSb7Tyuj848YHP0PHu94TxWctU8xqPCPJFeuTz+yso8yl7RPG841DzPQ9U8e6vgPGN80zxvH8g8VjrkPHPb5zyBPeo83LLXPNpn2Dw/5t88P7/5PKX3/jyjfQ89TX8KPd60Aj2PvQM9v0wHPQwOAz1Hgf08+nbwPMQT0Dwd5tA8xKvfPJb6xzzEF848JVjbPPNm9DzO1wc9vH4HPTneDj2kywM9614EPU539jzW2Pc8yMsCPW1i9Dyh3Mo8A5m7PK9irzzVDrA8Jgu1PEtevzxQ8sE8CV+/PGJGzDwb+dM8bwYBPVnJEj2d+x09luonPU3wIj3MBhQ98l4DPZ2q6zyso9I83LnUPPgq1jwlBrs8tP2+PL92qTwJkp88y5udPA7CmTxcWpA88zifPP/OqDyfy7Y8sJ+1PPgvyjy0X9c8mW7bPNrfxDzWW688adDAPBTc0Two4bc8CqmzPFnksTwMya48O16cPE4ciTzroJU8s6qXPMVwjDwAKpI8JIOTPARUpjyF6bY8Ip2tPFForDxcsbQ8D/ysPGNppDzc16s852SrPB4bujyczrc8vt7CPPrpvTxePbY86mirPCinnTxVy6I8CXamPAO5qDyhs5k8GNWUPHt+lzzYqZ88XbOmPNYjozyxnZM8ypSMPJu+mzzZ/6M8aL+uPJ+bojy/0J48EEylPGPhoTzMW6o8gby2PA1kwDxN7cE8JPOsPEcmsDwzL6o8GXKsPNGPqTxNnqM8biOkPF0wsDyNdq08q56oPG5yozw5gJo8HGWoPHG+sjwrYrM8v6TBPG2ezDwETdA8wdLYPOuQ3Tz3xuc8aLPXPCsO0zwMecM8WAzPPNmv3DxmDus8UuzpPH5A4zxZxs48GhjHPBQFzjwVjNY84HXmPBJB5jx2HPo8f9T5PEuz/zxo4/c8tZ7wPHx78DzHUgE9agkGPTkdDT3hjQY9EH0DPZXf9zxGm+k8AUfyPMpS6zwVC+Q8UZrjPBIU5zzWvPE8kCf4PLyi8Tx5d948G+XhPOJj5DwpzOk89x37PJEtAj2LSQM9dgX4PPCY7DxT8Oc8Wd7uPAxf8DyIlus8C2zbPAKu1DyrJ8E8JRS7PI99zTym2Mk8FcjHPIFJzzwzuNE8mcroPB1a8Dz5C/g8fJLwPMiv6zx7XtY8Ao7OPJrV3zx5s908mQ3NPJy6zTzT6M48bgHkPJeRCj0suw49Jv/+PGTNAT1mv/Y8vvruPEjV8jyLR+o8KljvPFwo5zyVSeo8nLn3PHzT8zzIpfQ8Hu4APdWU7zzDHuY8y/zfPEJV+TwMRA497pD8PDac+TzpGwI98twPPXsrBz1QOAc9Zw3+PHOK4TwvWt48vw7hPC1h8zwWQfc8fLz+PKWi8jwPuAQ9n5wEPZWX/TyBke48GgvFPGY/tDxlfso8KrXXPDhf0zxOSrY87P+pPLMlqjzeyZs8uLeNPBoogzxtDIc8IdeRPOkUlDwdc588aeSwPCj7szx/JMM8a7LePIuD3DylX9c8np3OPHPuzDzYpdY8JdvUPCCY0Dw2lsU8ZZOEPN4NUzxbv008FQmQPJlNsjxe8Zg82aqGPNZndzxf5IA8diWcPCj6yz0zLiw+TNJRPva6YT72SzU+l/45PtebOj4iLDE+cfctPgbPMT7LsjI+iIgzPmKpOD7nojE+erAwPgjGNz4NKB0+Sg0xPuh+Mz6igiM+2FdLPuqYUz7k1VM+AKY9PpurQj4WizM+tZMnPnroKz6g9Cc+XdwzPgHFPT63fEM+PmE7Pjr0MD4yJSw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8qZds8u8VBPSWuNT1K11E9fkIePUlvXj1syX09xZ7yPFkdTT1uhjU97yQSPQS7Ij3IMyY9ravHPAqSED1phzE9sj5EPWbkWD2v5kk97qNPPVTrRD2ILyg9qbk2PRdwRz0RkUw93l5OPYg5RD2S3k09mPU2PXqjIz2zOiY9C5EXPaP8Jz0mlEQ97DhbPclOVD2R6WM95HVgPUozZT16c3I9wIlvPWnCbD3HAUg9k8xpPVNSXT3BMEk9Nn5mPXdfVT0mD2A9e9RSPcMgUz2vJFM9S/k2PdFjRT1Mm0k9eZ1EPXOyTz0I6mo9lZFdPb4NTz2cW109+fduPVTEYD1/8no92ASJPRQhgj3v7W49lrhWPZB4WT2kRmQ9EeNmPdzVZD0j0Vs9Qh1XPZ2lRz0+fkQ9DRBKPf5MYD3vCG89nQNmPWQ3Yj3ZzV49VPJ1PQKTdj0OB3A96o6DPSOHjz1HrYY9FFSGPapfej2LDIE9u6OAPbZQdT1qDXY9DxFdPY+CRD3J+kk9bmpTPQwrTD1TgUM93EpYPTywcz3a/ow9P1mCPS6GRD0bzTY94z5bPTbydT2YMW49Kn1ZPWidVj1Pf1w9vFxHPZshOj0E/jc9lgcsPSpwLD3AdDY9TIlAPcgMQz1m8Fk9//xjPTxOXj24yl49V3RdPU3qSj3BJz4930YyPSCSNz3wric9eWIEPe0kuzxdgbk8TfvLPBj/vTxb6MY83py8PMBHyjwkU7w8bLqqPOFHtjwAs8Q8eU/RPEPetjyhQcY8ZeSzPEHxsDy0Z8g84vXEPNIWuTws5bs8BrXLPLB6zzykGs88NhPJPN6WyzwPu9g8qFfVPOM/xjzs3K08dA/LPK6Q3zzjTuE8/obxPF60zzxvILw88J/LPMLZ2jwEY8s8q2q5PBRG1TyfrtA8g/nKPO6K4jw1etA88ijCPDjkwDzdg7Y8Y+HAPHGbuDz3na08zruvPINFrTyikrc8fC/UPCtP1zwnntQ83dDaPJ9J/TxvZOM8WUnKPLLxwDwHGLY8gFOoPFQ1uDwMRLI8cu3HPIdgxzxP/ck8VK/NPCcYzjz/W8o8tF7hPIcH3jxquMg8Qi7IPGC7qTyIzrY8ETDIPJRbvDykLt48B43zPJYM2DzFkNE869HePKyi0zyEecw8NVTKPFKsxTy3RdE8mxTvPBTNCD1ZTwE9CwblPGOr8zyDbww9A1YKPS+gBD3ytQM9zarzPPrU1DyP/9Q8BSXhPH3byzyyZ9M8oqTUPK0v3zzgcvM8TlLlPN/q7TwFUA89MPoLPYzW/TwobPM8ZU0EPUjkAz3QnvY8MlvqPGot5TyFeeA8/NvfPGnc8DxKYtc8iyPJPFy5zTwbDcg8lDXAPOfUxDzpZt08YpMHPYPwHT0khCM9aFgKPek+DD0C0wM9VZ7SPJe8szyd+7k8cUnZPPij0Dx5JcU8nECwPE0hnjxuq5w8EzCcPAOTjzygzJc8svukPLRvpDxS1Kc8mwCwPAkmtzz1qKM8XMOlPJLDnjzzAp48cjqoPGWwqTyR68E81NbKPEJUnjy6q6I88kmYPD3fnzwybqo8u+yePD1Fkzx9L5s8e16dPO2LpTwp4648ovGxPO7/szyJkKs8fRymPHNgrjxghbg8isyyPFejyjyfkMc8Dm+yPMygnTzy/p88tLurPNpcpTx6Vqo8nWmsPA3mnjzmZ5885gefPMAZkzx4Kpo85GWjPESmkzxHvo88CxWUPOkfozzRy588MgyXPOeEnTxF1q48QkqjPG1TnjxMp7Y8zcLVPFJtwDwh5ao8icWfPBYKpjxus6s8dFmlPKpbqjygfq08VBmqPGI6qzyfAKw8qeekPFuxmjw7g6M8IdCvPOizsjyrU7A86KO2PNgWvDxwO8U8/sLWPLXt0DyWhNc8OqnYPBCyzzzZJLU85WqvPIXKszzU2648jW2lPKuOuDzG4LQ8ZW7NPJWq+zyHqPY8IqvaPFLv3TwffvI80bYCPaR6AT3E2wM9sdP3PE+9/TzPcAA9f4H+PHfVAz10fgE9C0MJPQoD9jy8D9w88xzrPP5i5jwQQ+w8fCf0PB5i6TzNdvA8ECn2PHQN1TyouMk8qYDtPO7TAD3Uqwk9JVYTPb/CAj3pePI85qrmPEfcyTygSMc8CnLPPDzQ7Tz+b/Q8McnwPGrO1TynstQ8dXvMPKew0jwezck8cjPcPKWO2DztWt487sLmPHfb5jx77Nw8xwzmPD4q5jxSme48JRLsPJ7F5TylN+M8DcDYPLEv0zzTb9c852flPLFXAT1E2gs9DL/mPHo80DzADNQ8sI/kPKPh0Dzycsk80RrePKoC1zx/79I8nNvkPKyB6jyd4Nw8xWbkPECH2TzMF+08oJMJPQjODj01jwc9Tc/9PDTaAT0yawg94NkRPVCDEj3mCQc9cnbwPPog5Dxj+eE83LHbPMAX5Dw5B/I8PkkHPYpqDD2cXQA9p7vsPA+fyTzNLMA82Hu9PP+/0TxIJtY8PGbZPD5G1Dy2FrY85gumPC7Plzy1L4o8wERwPKMmgDwPYYc8nZyQPGdumzz1QKo8xvyvPOJgsjxX2MA8rn7QPL6Q1jy8Ltg8QIPLPGttyzwjidg8eZPTPKhUxzwieaw8/VF9PL1FSTy8eko8UBuUPB/LpDxbp4w8n7iAPE3fujwex5I9d1AFPrHvHj75r1Y+UFxdPiBoRj51wTw+nYUoPh8lKD4sIzU+rPMyPiSFNz4aGC8+SVArPtBDOj6oKTM+HPkxPn7HSz5XsUM+lA5BPht3Kz521Tg+xvQ9PueKQz5yNz0+dF00Plw1Qj4hqS8+DN0mPhCKLT5k/E0+CfxNPpMRQj4DPUw+Wo84PrQGPT5Tb1I+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/vq4xPGdp2zyItwg9wf4HPWfnHj3sMx49lWIqPVjYDjzs7Zo8pljlPFDyxjw2g+c8EswJPXGaJz3wjNo8QQYPPR+9DD2H4fI8dFMPPUNXLD3lREA9ANRGPaCySj1XRVQ93QV2PXckbD0Ppnc9h3t2PfDiez3FJGI9sFBbPYiYbT2Oh2M9gMFsPbOlZT1GiGw9fyddPczCTT2ZxVA9AWBjPb2URj0pekg9gyNLPQmNTT2H2nM9gGuJPRuNbz3vT2Y92+RxPflsgz2zZ4c95r6BPfXTXj0vYE49Qq1EPaKMQT32eUQ9A2BOPQyAQz1UCkY9VAtQPW82ST1dIkY9rtZYPbUqcz0mr309AoN7PUqhaj3PiXE9y0mNPQf7iD0sv3M9akB0PZYCcT2ZvmU9gQhoPX8vZT0sQVk9UClKPYz4PT2NLlA9ht9IPd37Qj2Y/Ug9U5ZKPYbVUT2SZk895K1hPU4qbz0IKFs9TpBGPTsmOz0w0Es9TvpUPfvnQj0stjI9vdFVPXn+gD2TgWo92ZVAPXecMD14fjs9ObkwPXufJT2PAis950FFPeWgQD11MlE9Sm1YPW3IUz1wyWQ9BLtTPXIMPj3RnSo9hsIaPWSfGz3AmQU9WOjPPLUWqjwmXaM8NJ6xPLYTszzYCcs872XHPJlc3TwVL888fIrKPD1CsjyUkbs8ybrePMxr2TyxTqw8GuC0PJgw0Dz8fM48rFW+POmNsTzEEMY8bEXPPDTi2Dz94e88IeDWPCEq2TyUqt48P5rSPMYB2TzN4MU8ZZfBPNdB4zxbVu48ICTpPFwEyTwyjcw8L3HVPHD/4DychwM9G4jnPL6y1jxycO08tV/gPPUezjx1tb88T/zMPENEyDwB6L8811TDPFnixTxdIsE8LdPkPIJq2jwzYsU8/mnUPOXDzTwQZts8BRD6PF+0AD0uCeY8ns7sPP8g2jyAO9k8olLQPCX/vjyfy8o8saLdPLMB1zwe/Ls8dR+vPMBMtDwALrU8rfXMPFKntjw+zKw8dXCzPBdwvzxmmcc822fZPFWz0jy7VAA9E30NPe4S6TyeauQ8vGPYPLr1yzzcaco8tevRPDeu5DwaVfU8mdX6PCWx8Ty69/Q8BGn7PJBIBT37xBI9/jj7PMuM3Dy9wvE8w7f7PBD01DwlPNU8eiXjPDmt0zz1Kc888OHaPBIt4DwSmu08gIjzPKhW/Dy63P88kc8FPa4MEz1V8Rw9R6sMPaQKCD0G/ww9lCoDPeoOCj3FOQY9E9DrPGJT0jzNAMs82rLbPJV6xjwyP708xzG9PAr4wjzh/u88tScIPcYLCz2fIhE9HV8NPV61AT35WNQ8wzeyPEG1tjxfuMs8dBDEPANgszyJ1aI8pCagPI+qoTxNs6I81gGqPEd/qjzggbA8jau4PC+qtDyC46Y8kBajPHQwpjyT2aM8E0CpPGMopTzlNJ48y62pPBWGnTyvuaA8C/uQPKtUhjx+VaY8IwfBPJzywTxYxcc8tYO+PDRlqDzkAKQ8wtKUPAZ/rzwGl7E80JauPGlxqzxeNaQ8ko2VPLxplzzKNpk8diusPGGvqTzyR5o89zOdPA0XpzyMP6A8vzWePELlqjxGdZ88y46qPPfhnDxJxZs8eR6cPLPxlDy8Q5g8P/OZPNyOkDwxeJ48ozehPO2lpDxnrKE803uZPAbMjzzuj6A8CP2uPN0ktjzkR8U8LHyuPKeSpTwy3aU81/ecPMmDoTyeVqw8BuqrPKw7rDysfag8+zS3PIQAqTygaqY8iSKnPPyqlDxpQKg8VFu9PPXZwDz/oa08iuWpPFNnrTzKecE8Y4vTPF833jzfR+I8o5bGPPhwtDxT8ac8ATKaPGTRkzyUo588NmCuPNQvuTxf68M8LFnOPPhd2TzGKgA9zIjqPFV23jyWR9w8iyzYPGlY7jw6cPo8mjX2PPb9/jyOWQo9vbcHPZS4Bj2FawU9hkIDPQLeAD3QLwY9MZ8JPc2Z+zy5zv486r/+PMJB3zwmFNg8sRjsPPp55DzkHtU8PUHxPPPi/Dy/jgE9dxgGPYB68zxkU+Q8gGrUPLjgxDy0MtA8b6jWPL4LyjxIYsA8g5vFPLxvwjyGarY8zdavPFzCwDyazcE8wCTNPJr43zxbwOQ8eIzhPMZA4zwMktw8EsjoPOna+TwoU/s8zQH7PKQZ5Dwe0tk8BLboPNQ/4jxQnuM8ZS7yPIj5Cj01EQM9FtboPNSA5Tya2dc8+WTQPIr4xTyIArg8U6i9PAlsyjzVSdc860bePOjc7jySAf48n2gIPQZzBD1vXvk8E0sCPSjGAD1rlQM95B8EPR5sAj2loAo9GAIMPegCCD3QWf88+j3mPDdK2jxC9t08EoDrPEQ//jwVK/I8WCf5PPv9AT3TlgE9GanZPCrMtjy1Z7Y887iuPMMJrTzzn6g8PKufPBy+hzyPRoQ8/f+CPG83hTy26Xk8yHBnPGgxezxBtog8Yf+QPBbIljwlDaM8CYe3PNDsvzxLmMg80x/FPCodyjwvc9Q8FyfWPJPRxzzeUbQ8DCqxPCwCsjx836A8ph6PPAFNgTyYaYA8kUdwPPTDYDzNG3c8aUyfPPdOID209g4+y0FRPlReUT5YXUQ+RM9CPjAGQD4dNzI+3sgePuC+Iz4jYjI+2R4vPigzMj7I7DI+ZPYvPp4ROT5k7D4+zv09PqzlOz7qlk4+rOlHPrq9Sz5aZkA+G0Q8PiJYMz4vAic+qxkjPozuKT4Nbi4+ULAwPkp6Oz4GIEQ+Qcw9PtzMPT5jYEM+H8Q/PgiaOj7Yuzw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+C/oc82FDWPIny1TykyBE9Lz0BPVWa8jww5Dk9mRmzPBBXAj1ZVTQ920tBPdhhQT3WMik93gI9Pfc1Iz01Wx49RZFGPZGWRj0bL0o9KaxAPTRwSj0zj0o9AORTPdC5Uz3283Y92c6BPRAcYD19fGU9V2poPSiPYD1+FlI9HFZGPQJrLT25Tys9mnVKPRH3Wz12ylQ999FSPbCAOz2j6VM9fJJqPeU5Zz1rvHA9rHqDPRnThz0eJYs9o7GJPVLCaD39Zl09ATliPcYmZT1fzm897vN5PeQIgD1Y2W89LZ9hPV3rUT32OVg93HRcPSDfXD0fV189YN9XPRShYT0buWk9nkdkPdMBZD2TF2w9OsZoPfHzZj2kBVw9L+5QPagqQz29KTI9I30nPR6zPj1E9kc9ZG1ePQpiWD1b6UI9OF8hPblnET04tyA9Vi8WPTilDj0DwBI9VAMJPVsuED0XSxs9K8cWPY6RFT2Xsyo9I3ETPd33/jyEbvU8TfjnPLME3DxXvdQ8f9i3PEH9ozw8kLU8aOe+PPNUqzykaaQ88ja1PD6VsDx36KU8tvWmPP8TtTzcpq083n6qPEKSoDwmXKk8X8SvPFsuwzyAtLk8NrmtPH/ItzyYkNI8pgXGPBuAyjzE+fE8OITSPIiRyDyOVMk8b9LPPKHmvDyxXMA8z0rSPNgLvjzPCMI8F+HAPON+wTwlmb48hI3OPNwMyTwevc086tbPPBYW1zx6YO08G93bPDMZyzxO8t489SboPCLmzTyke9c8qDvWPPEo0zzm1NI8IKzFPJxqwjzt3Mo8B4vhPFks3DwJR+c8i9b8PPrF9zyVMuQ87mrHPL6dyjyjdN08XjfMPE56yzyx4+s8x9TePC0I1zwIWtA8GJTGPGFpuDyYRr48KjrSPNw7yjwBdcg8kGXbPO3F3zzEy/A8+YMCPT/4+jypmOA8RhrhPO8H6Tztnfg8Wn3vPH3H9Tyw3v48g2HxPKZc8jzGoeU8iDPoPB/q6Dx81+Y8M+DhPPDp4DzLmtQ8eOPOPFYi5DyIlfA81gnMPLmAzjz2iMw8+xjdPBEW4zwez+Q8INHqPBM+6zzjx+I8P5vbPComzTxW5e087KsCPTFoCD05mwQ9fzL+PFysAD0PO/g8DOINPVncDz2DZtU8B1+2PE/XvDwg68Y83IfTPB1JzDzgf788kZfVPE2k5jzgLgU9crsNPXZqED1iGBM9Nm0IPXf9Aj18guE8gNLJPMPrxTzxqrc8DvmxPPifqTzhDZ88KpOWPDJnnzwBN7E8XV+zPBoxvjxs6MY8LjDePDer3Dw6yLk8ZCS8PGtC0jwKpsU8ye6+PKjRszxhZqs89KK8PCHmrDxvTZ88JHuZPBsdljzQfqM8sNO3PBKDqzy0Oag8VaqfPBz3mTxbJJU86WSMPP/fmjzTa6E8xSOsPBsetDxeG7M8QEqrPBuSpjy1uqE8ViOdPOgnlTx02Zk821GqPGkitjynl6w8C3yfPExFmTz145c8Zy+hPEEinDz0Z5U8HoOPPOgvkTx+/pE862aLPIavjDzF1JM8qheQPIejkDw1EKA8EAylPKStsjwaTcg8BbfJPIMJuDyA3rA8yWqrPOTaoDwLCpg8haSUPOCfjzzWv448tC+qPC5YszxBFao8Zi2wPLjZsjw+Z6c8NpqbPKQumTx2iKM8M7i4PBme2DxaR708/Au+PJqawTzbp8U8Lc/PPNR70Ty0CL88OIe3PJbpuTy6p7I8H0exPBuXrTyGPrU8IxbDPNL0zzx7Y9c82P3dPA8U2DwpMeI8TzviPNfA0Twg4s082TDePEAU/Tz0OAQ94yQEPRYaBz1nMAw9Vc4DPfcfAT3b6QQ9gYoHPdO8+DypLew8jogFPYTaCj1X8AU9M0T3PA991jxaGtk8ibTXPDz32jzX/u48L8LqPCfJ1Dy9DOE8mX7RPKPvzzwVUMg81UHPPAMzwDxofbA8MuyxPHyDuDx6CMA8OsvBPBXQyDxzOcQ8XeXOPCDL2jxfud88nzfcPO9Q2zyuzNc8dnfqPOXs4TyxMOs8H2T3PMyLBj2IVwY9eh3tPMyE1DxDEOI8TTnxPK3f9DxeUvA848X9PLIKAj0SkwE9tMb7PNwK8DyvoN48rljoPPxC5jyG28o80EDCPAnJwjz4r+Y8sHjZPGEyzDxXfto8KnvyPNks/zxOpAk9C1kEPeId/jxVegM9amD+PNiq9zyU4/88m2wFPRtXBD1yfQ09ZOj/PNpQ+zwLPgA9lE0GPeB5Bj3chgI9ENH4PJVF+jxVI9Q8LyW4PBGkuzx4H6I8PPuVPDocjTwKxos8rOGHPIpbejz+2Hs8dbB+PDH7ejzUmX88olx4PKo/hDway5I8TWuRPPcTmjzG16Q8ZSOwPIk1xDyZjL483UDIPIYDyTwyVcE8Jzq9PNG4sjxYL6k8MjaoPFvOnDxrvos8RRKIPOo6gzzhunI8X1uBPDqytjxRFTY9mcX4PZvBJD4lhD4+bBJIPv30MT7bFDM+KIguPpdKOj4LEzo+i2osPmiZOD4XHTk+ppIwPg6MMD7oRzk+IvsuPjdDPj78fDw+Ojs7PqLQPT5ON0Y+UzNBPi97RD6b1Dg+ohI0Pn/KND4evyo+Dy0cPouSMz7K2EM+PlAbPoH5IT6yMTo+7FpnPq/9Oz6dDiQ+pp4oPrybHD5NlRc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf57TbDwI08c8IxMyPTwjKT1lmR09SNokPVe7OD0L5ww9vXcyPWrQND09jDQ9xm4pPQX3Oz3SfFA91fEQPV1/Kj0f7iA9f1MNPVHXHz0C90I9h1hWPa2cbT3sYlI9ubVXPXX2Uz16A2490nV+PXInij3HEYE9JVKIPcKiij1/Uns9tqBjPWbpTz0BRWM9dRpePVIjcD1eF4I95/t7PQYQcT1TX289xtNKPQUnTz2wilA9HdJNPXVuWT2cB3U99xCDPfaqgT0uH4k9rlB2PbKeaj2jlIM9htyDPb+eeT1CzGo9UF9LPdIXPD2U4yk968wtPefVKD29mCQ9jlcfPUB+Dz0S2gA9GEb6PMAT+zxTqg09cEYNPWsaDz3HbA49He4VPU+JDz3IgQM9IbAAPYhdAT3K3Pc8+y7iPFAf9zyfSuQ8J1rJPJl/wDyFWsg8IaG+PKE/uDzH0Kg82O6vPHWwpjyER5Q8AHChPGgSkTyOf5c89ZqiPB04oDxsgao8wi6uPFk2pzx0Mpk8c6ebPJ7AoTxNyag81KysPL5ntzx7Lbo8tx28PPeQujwGOMc8Fe7FPG5yzTwR/sc81+rGPBLOvTw1+rc86Z7SPJEixTw0QMY87JzVPJBIzDw4ltA8eQHaPNyg4Dw+YtU88HHVPBj16TxWJ/o8gfv3PJ+J6Dw069w8R2jPPCzF3zxNuOU8mOTUPKkmyDwCSMU8W+7GPPdT1TxSueo8rYXZPGHv6TwZDeA8/27hPF0T4zzK4+485MXZPEQP0zxQjtQ8YuzMPH7Q2TzCMt48ek/VPMpuzjwI18U89ajQPOwM2Dw63d88GtXePGt80Tw2KeQ8aon2PNvcBD1thfg83KX+PC7E+DxKEOY8SLThPJN18zyfcgU9XQD/PK3t+jyH6+Y8dMjxPF/KAD0PC/Y8oRbyPEZK8TycjvI8LEfnPNTE4zwvhug8O18DPRhOAj2jruA8e1PaPG1a2TyvxuY86Or0PBSv9zxD5fQ8oSfmPDBG5jzi3OU8FC3pPCOt7DxSYPc8cr/7PKDX4Txzb/08hTLnPCjz6DzhgQo9I6sLPaVz4Dzbv788LrnGPCX2wjzBYck8FGTdPIdB2jwbRN483BfjPAdN7TwKCfk8An0EPcwmEj0bUgY90GwCPQO09TxU+cY8b6jDPPkXxjw0P8w8IlHKPHtLwTxfAqM82gCqPGIxwjyIwbw8AsvDPGLd4DwO4+w8+8HyPD7a2jyEn+M81o3nPB380zxGDrg8QXiqPOd+nzyiYaM8VJq4PKfYuTwGeJ88cn2OPBGDhDyM2408aEKTPPVvjzxxro88g9SbPMrboDwDK5M8xl2NPDQYlzxoKKE8yv6iPNrwqzxJma481X2bPGL0jzxCcZg8fnuVPERyjzyV8YY8Ll+WPMvaqjwG15E8LkmCPO24hDx584g8F+iHPCHujjwklJE8N8WSPH6akDy39pQ8qjSePHZ9nzzGrZc8ZnWfPK4ioDzP4qs8fMGqPPv5rjwmjbc8eYuzPJXkpTxi96k8zNakPJzelzwkoYc87wCIPHtOlDx6yZ88PrSlPN9jtDwbSKQ85zWiPA73ozxAVKM86JyuPJ57tDxbHqQ8WSWyPOto3Tz5m9w8ACPRPMtqwTzog7Y8uZi+PORjwjx5cqk84ZehPMS2sjyEuKo85UGkPOgoqDyMHrE8oi+2PBUkxDykF988sx7tPD7y5TzjCOE8SM3jPF1r5zxypOM8rh/1PMFvAz0gvPo8phnwPNmq8jzzGPg8UtcEPRuIDj3+yQ89yO4HPfEw8zyIzNY8rLvuPCEg4Dwrxd08DZXmPCn03jygQO08d0vpPB9qAD2PCvs8FN/NPHo5xTz+RsM8hb65PCwjxjyDKcU8gVawPItQsTyYwa08Zhu2PHbluzzaAsU8RovZPOwG1zwYH8w8gYrGPMQ0zzxfBMo88BHSPKmL3jzhmeo8cmICPZiR+zz68fk8m8DrPFHn7Txr9Pk8JHv1POTB9jzl4PY8RFYDPQZ78Tz14+k8SCvuPI9/3jzPDeM8uM/mPH6M5zxrit88zGnvPJWl6zxi7tc8SpLbPLJKzTz5CMM8/XXQPPRT2TyAzNA8qtjjPNK+Dj08yQs91MEFPZ8QAj2wZfU8fgHcPLz24zwX2AI9TcEMPX+bAj0Z3/889Mn4POYW7jz0EPc8s0zyPJ3rCD3MLAw9wOrzPLTA0DwBIqI8LT6VPJSFhzxrqHE8PCF2PIpxcDzp+Wk8RflgPIwqYDxjc248iJdrPCaXfTzHQ34834p6PCzYgTxknYY8T3yKPG29kzyZqJg8vE6ZPNM3pDyzoJs8y2+yPOy5sDxAJZg8CtGbPJWwxzy/fPY8HxIFPUOo/DwLzw89gogaPSj5Zz0ER7Y9a+HGPTkiAj5EThs+hmM8Pmh1KT4/xDI+5ac1PheMPT6Bzjc+x8wrPn2fID4dkSI+Xy0nPgrYKT7ZQjg+qY8wPrNOMT6Exj0+9/84Pq7MOz4ETD4+cEszPmi0Qj76PFU+k9ZGPoPVKz4qwzE+efsqPm3YHj53Kh0+fr0hPrGOLz51LjY+21ooPsxIID5MciU+7wsnPvvBSD6Us1E+T7o+PqCQGT4hYwk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/xo+pPM59BD2zBRg944j2POvwGT1sTVU98W6WPDqyCT2yMhE94wn4PP86CD2ILDI9SlRVPYHgMz1eHlc9Ev9YPU59dj2qXDg95hAkPahQRz1eFWY9YJVfPcmNZz0HDo09eQ5oPWy5Vz1DkFg94fBYPe6IVj36S1E9I7xLPVecVD0FaWI9MVR3PYVOlT0xDIs9gJ6DPV83nD0xEJU9vFqIPVc5gz083XI9a1tjPRJ+UD07WEY9x2xOPaRvKT2adQc9Tov7PEzzAT3iHPw89iEEPe+P8zwKyPg8NHoAPXstBD0AAhA9I2oUPegsFz33XA497C4NPZQi+jyT4+M8VdLXPOOX5jxJwso8YHjFPHZpuzyzXac8oOirPLzntjwEDbE8s8aqPP+koDyCaJ48SieoPCxLqDza5Ks8rW+mPDqvsTxct7g84XbDPDCtoDxc3qE8VryoPJqznzwUsZg89EyvPL7GzjzGPsc8UW7YPN/twDz3FsY8bP7BPPVSvDxpsrI8r/PBPAriwTxIPNw8ZgfiPKfv3DyQJ9M8sO3TPNrg1Tx9ltw8MfnlPKgu4jw5we88mlvSPJCe3jxTrAQ9j1sOPbTmBT0AVOA87jPlPMpkyTxcuMw8iGP7PDGzBD3y8d88nEjJPNQJvzz5XsY8h9DIPHwb0DxJ5dc8q7fJPPQaxjw5idc8mhruPADR8zz2mtg8fbrYPHgA1zz+7bc8kl+0PBQzvjwHy9E8GJTtPMtw6zzFOOE88yHvPLuc5Dxw3eQ88gDjPJGM4jyJSeI8Rp/SPMCjyjxEy9Y8JIbZPJyQ5jz7VPg8WXH6PGOzAD3X8gQ9P5P9PGjdAj29GPU8QRTxPLAq9DzaEPk8YdbmPCW1Aj1tMQI9Ww7lPIGu6DzNIOE849bbPMvf6jxODfM8ECXTPB81xjxbQcM8FpHaPGXvCT3/Ews9KjkEPc0M/zzfL/I83/7dPDE4zzxnPt08JSH+PGhNEj0lpwo9pf7yPL6Z3DzhCcM8BoTHPH6txzzbmNk8hybtPB3Y5zwHOuA8lgHiPElj8zwwKOA8xUP9PPV0DT2AoPQ8L9LaPDEnwjw/HLY8GeKxPA6JuDwg1Lk8X4nFPC5/sjzEt6k8ixO4PKlkzzzxXOM8TNPVPGni2zy1/dQ8h6ffPC1j8TwQOgg9z07xPBazyjxkiao81EeePGt+lDxIj5M8MKevPIB7pTydXpM8/uuDPBZSgTwBH5Q8XR6nPPngnzwiApY8yM+aPNK/oTyPKJQ8m2aVPIyMkTyhsJE8hnSTPJWaljy2k508j0iqPPIXljwzzJk8YRSlPHrknjycwJk8UFahPKs0nTyE3Y08sayEPJrKmzwh95c8RieBPK5DhDzVdJg87zqhPB/bnDwXUp08uNWgPNWdoDx2H548fluvPBgksDzBp7M8d7awPFOBqjy9VKk82WK4PC6QqzwGf608cNOqPCw/njzBY5Q86LucPPuvrDybFLI8fZStPBfgnzzF66g8a0OtPDooqjyA8bM81EuzPG9fqTxdKLc8t8zOPH7UtjwRgq48tTKqPDTvsDyLu688qIW7PE+1tzx9f7M8qYW2PNqzuDzUd588IVytPCpUnjy7LZ48WTepPIJn1jy30fQ8arLiPBdo4TwRzek8Y472PNb28TzSe+c8mQb9PN7bAz2JLwM9YDLjPHOZ6DxNrQA9tI0NPSHeGj1K7hQ9+uP8PIhD2TzGidg8MM3wPOrU5zxJsPw8NFn7PK3a9DxeRgA9miQAPWIu+TywDdY8Hy65PNpkwzz4IMg89yTNPFVXwDzHcLY8CwivPIQjqjwf5sM8zhPEPImdxDz2c8k8FyPZPCOy1TyB4ck8133QPOIs4jwx/dg80XTePLwn/DylwPo87ZAAPXg6CD2E2ws9cpADPWwz/TyNhPg8Qz7iPDNB3zzyjvk89lAAPcRVAD0BRPk87s36PNhB6TyVsus8fUDuPHXX9TxB+u48j2LkPBha5zwqeek8EDHYPOdSyjyw5b08Qx28PF/AyDzmr9w8J5/yPBiVBT3dXQs9zHYUPZ8s7zwvfcg8Xjn+PC+pBD3HEgw97JgXPUz+CD2Kwfk8z230PB82Aj2p8vs8ecraPBNK4zwLhs08AZyiPM/sjzypinI8e/g5PHcGQjz4l0M863pPPCIMPzwAmkQ8zBJaPJc5ZjwqL4k8Dj54PJXPjzwjeLY8vT+oPIZuPD1M93k9Q4ZqPbTHkz1gPKU9oHGoPXzAvz2wRNg9gvbfPSxB3z0/IfE9xbz+PaSuEz5mzhA+EVwHPogOFD5d0Rk+9sIfPvHvIz6iRiY+7b4gPhDWMj5GyDk+36stPvNZLT6/aR8+aJgzPhXWVj7/300+MaJJPq3QJj7lzxo+prcnPoyzMz4DdD0+1bEyPsM7Kz7yr0A+E1dFPg8xPT6SnjA+w8kiPrF+Iz5ABjM+rm40Ph2pNz5tXi4+81QsPoGLID7AiAg+egwDPhlx9T0gJ/Q9CNzzPU2+8z2huA4+alMkPqdFHz76ESI+GAkrPrMXMj6hSSc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9yKFA8P+7JPBIaHD2Zvxc9qmwwPTWaOz37Sak8LVMXPftQPj3qHSc9d+8ePckjHT1JgFo9zFs5PRELRz0xb3Y9qah9Pd/QaD0+UGg9ZuJxPTRhWT3J9UQ9845YPfIdRj2/mTQ9dGQyPQfTFj0QfwQ99vESPaEDCD2MtwA9F/ADPdsH9Dz3l+I8j7bmPA34+jxDWA897TsLPXqlCj2viRU9reYJPWz77jxdWeU8yZv2PLUK6zxrI+U8KPjUPA1N3jxX57g8I5a5PLCnyTxVuL48tzOyPCXipjwcEbw8t0SvPDlBmDxVn6Y8qK2jPAifoDwYWKE8YjSsPBXlqjz5wLM8/MmgPE9mlzzeYqg8LEapPKjctTyPcLs8sAqsPGO6ujyn5cQ8YC3BPK74uzyzDMI8smC+PNuswjxOqeY81ArpPMVZ0Dy/ddM8rCbaPLkv1TxS2NA8aFTPPPfU3jw3xvA8GT/8PJQ2AT1xTPs8aVT3PNA94zx6jMg8KVy8PCPrwTyNIMY8V2XUPDC70zxSxcg8XEW7PDl7pjxusrs86RTAPNsByzx4JPI8aVTjPERx6jxiHfM8oCX8PJrs5Dzpe9k83+TiPH0w1zw4+tI8xp7FPOjOyTyltOM81gP7PBtc6DxQb9E8DRflPHUl8zytde08QPUCPfwO8jx9fNs8tOHNPAtr5zz1x/s88yjzPIpFAj0BuAU9b/4IPf+r/zwHxwk9VAoFPazV+TwDR/o8bnn7PNjRBT3g2wc9984DPcMuBz1gSeI8RdvXPFO64Tzz3/o8BSfyPAef5TyqudY8BhXFPESVyjy4u9k8MSjjPGtGFT3tUA49P5z9PCtJ7zzlr9E8EQTcPPx35Dw1EPA8ewv6PH9h/DwUPOw8+2fpPK2T2TxuBOU8YVfyPC2T3zx7fPI80MIKPSyNAT1XJ/c8l7/wPJgsyDzeAr08h07VPNAyyjztg708K2K9PB+QsTxe2ps898eaPNpWljzPgJs8qUedPF1apzxOv6Y8FSevPNQkszzkIsQ8uxnfPM7g5jwLytQ8Y1rcPKOFBD31NNE8CV20PLdutzyTBKw8nXSiPNuplzz30588wVqaPLKdmzzJiJ88a8+cPO3zkTxeo5k8N7OYPKcKnDwk/Zo8P6uUPDU0ijwxKoM8S32PPGvTjjxiYIA8VsSLPBKWlzz2Fpo8KWChPBTZozyYT6A85oy3PAXbvDyfh6w8Dr2gPJuomDztq5M8kyORPLSGizynoJE8iYCOPITZjzyMwZk81q6bPF8rozwVtKU8DzCnPP9/pjz6V6o8RYadPLomrzxIh7c8/3CtPLcVqjxw46I8ljmlPLT1ojxOnaI870ulPC/kpDwEVqM8ysKuPDhqrTwZ7qo8Rb2fPMgLqDwNw7I886q9PJ3ksjza5ao8He2gPKi4ozx/M6c8+V6fPCcojTzkx4k8eReWPPdgoDzYRag88lepPFWZrDwfUbQ8jS2sPNRIqDx7r7U8c1ixPBNlrjyV2q88uCLDPPKf1TxqadY8zlLaPEx27jw2RgM9zkP7PLFm+jzZgv08KDsDPcKZBD0kjgQ93y0MPa8yBz2lyQI9m/EJPSZ+9TwTZ9o8mejYPC6v6zyt6O08scP6PMyr3jw/bM88+BvPPBbt4DwaPeQ8DXrlPG7x/jxwjeg8UvXQPJg6xDyT/sY8x+PIPDXqszyY3K08wynAPK3LwzwKV8Y8Qf7OPGqK0Tzkit481U/hPAdezzxrD9A839jbPEoS7TzOsO0832zrPKCC9zzyC+I8XDf0PJuuAz26tAo9v7b/PObY7jwlFuI8tb7VPC1EzzwC3+M8wjf+PAZC9zzcq+k8lw8BPZHQ/TwyOug8oo7kPFvy5TzkoOo80w7iPHLe3TzpotI83CHKPNEJuTyYZ748nKDNPMXA0DzokvE8ucAAPVV8Bz2xGQw9GjwHPVIU+Ty9RQI9hnwNPUb3Ez0LUxI98GwOPYrX/zzLGuw8/pnZPKfe0Dwyt6w8PDuEPGw1YzxnODs8LTIiPEG6JDwToSg8sdRMPLpYqDydLtQ8/bg9PUzkiz2fYIs9BnnIPRYs0j1iIOQ9K5XzPS2vBD4ITgw+oo3vPZnOFT76vSI+r/obPoc3Gz7bEhc+VHkcPrv5Gj5sHw0+5g8IPod4Cz70BRE+voofPj7oLT55rSw+N2ciPlLlIj6ak0M+hWRPPjZpQT7aOx4+FlwwPjVHLz6eKCY+wTQnPpkxNT6W1iQ+HsofPrSELj65okQ+ZVxNPoOwOD63aTM+N1o8Pv39Nj5840U+ptw/PrR3Ij4alzU+N2pCPlDJKD7CkzQ+RpYtPg2lJz6ZJB0+kHguPr+0JT6KpRo+67ImPiywNz6q1kk+gMc6PlciLz4odCc+gFU4PhYACD6U1vQ9iqMGPqNnDz60LxM+mMMZPtz1Kj6DhCc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/QV+xOoAPrTyfeCw9WSwhPca2GT14nDk9KnA4PQeaxTxRmhM9rGALPR+h7Ty8rwk9OzsnPbFHSD0NKdU880y7PJ4UyTwMacA8NxfQPKOK1jztXuE8YiToPJUnAD0EywI9oFL4PKgJ5jzmjd48r+zJPPHvzzxhFc48dVvdPH/e3Dy5ktI8SAjFPGSQ0zx36eQ8aEUNPaIf5DzJX8s8Mv61PH1kvDxE4tg8cI26PH0xrzygccs8B2G4PPoDpzyvAas80zi2PJKquDy1+rE8SI+mPFxXtjxhBsg89V/EPCUZxDyLAcI8YIq+PDuNsjwcccE8R3XEPMdHzjwPH9c8ddvLPE0IwTzH8sQ8iB7SPDdB8DwyNQQ97isFPbhG1DxzUt888uXwPF196DzOjPk8Z0QAPWvw5zxq9PI8l5r7PD+a6DxoAMc8idnAPLhR0zzlZtk8pvLbPNWtvTxrFro8NabEPJr+tzwaq7g8j+vAPGwQxTztHeM88E8GPQTIBj2GivA8Hk7wPFWw4jxI0e486C7nPE7+5TwZO+Y8OzjyPJqY/DyyoAE9spYIPRnu6TynaNg8N0DnPPpNAT1uWwQ9MgX+PEFA6jwCrOw8uFj5PJHP9Dzo/O48I34EPRMCBz28iQc9fDsaPeoFHD2oHwk9JlEIPSnQBz2E4As9h5ISPVB8Bj3UVP88yUD8PN7Z+DxPuec81dLiPPBk4jyWXd48HLjbPFLW3jwE79A88tPMPBA/6jwq9vU87bf+PFaIAT0+EvY8ikz0PIjn4zzEEuA8XmvpPO2A7zy1Mfg81hoAPS1j9DyK5QY92DH2PGBt3jz4au48uskBPdUI9TwZvO48MgHcPAfbvTxRN7o8HbO0PNvWnjz17p88ISS3PNI5wzzvVME88QK+PNpqoDyrxZs8bv2dPE3blzw3WaA8+qqmPLSztjxGccc8gUCtPKK+sDxqNbc8Gr2/POI/vjxL1bw84lG4PAknrDxj3aA8a3ywPDkCuDy/eLQ8/u+rPJjqoDy32Zo8ch2aPNPxnzzPmKQ8lP2ZPO8slTzflpo8B02UPHJ5mzxpxqM82wqaPNtpkjy8/JE8G1eFPO+CeDykrXs8zIKLPBWrkzwogpc8tcqdPFbYrDwd1J88gmuiPOnyqDzJ+6M8DCmWPG0+mzwXu5M8aSyKPGREizwM9oo8QUuQPD8ekTx+5JI85t2iPKWvqjw3CKY8AAWiPAKLpDzNmqM83TqoPOHTqzyTJ608NS2ePB0DoTzKEqo8UWCmPL76pTz4ha888P23PCZmrjzFSbE8ipCrPK/0rDwnnqo8gs2cPALUmTwgKpc8DnOaPKNMpjw8AqY8EJyUPFlmjjyAvog8LI2KPKA8kzwBu5E8JWycPCdJnDwbG5s8cUGnPH0apzx436E8SEClPEiWmzyncq08Ch6sPIqCrTxy/cg82UvkPMQk8Ty1SvM8Gaf4PMes5zyFgPc893ACPcFDAT2pewI9pvQJPQkWBz1+IwU9rxjsPIOV1Dx2Y+I8LIvZPO4m4DwTbOo8ti3jPEJ21jyAXs08WaXjPD2/3zzU88Q8313MPBzL3zzr7eE8/6bQPGvLxTzlb7o8g1q2PNrTpTwdKqo8H8y2PD1Ywjwqesk8GGHPPMonzTw0c8E8Qt7IPJG+0DyWr+g8uuroPMU64Tx9cfY8eELyPIJw8zzyhPs80437PF8/7jxzGus8oFnlPDVa3Dw1Hu08AxXlPC310Tz2mb48W6G+PCfowzz8Lt88qxzqPB9F2zwFjtw8dwPuPCt39zwAaOY8/rjPPIew2DyB09Y8parEPEs5wzxkCck8ow29PB7gtjxk3748okPKPK5y3zyqJP487GQIPdO5Cj3r2yA9phUePar8Bz25/Ac9Xg0YPekMCj1XX/88P3f6PC6+2zzbn6U8N1NlPNI9PDyhoUE8pHdaPGuegzzRu/A8OvUIPamaTT2q0JM9CkbhPaqEDz7HIA4+ZWIqPgYyPT7BlBo+7F8SPtlIDD5SuRk+U0IcPkXoHj75tx0+PwITPi9FEz5tJxQ+lNkPPnF/HT5DKBk+77AIPh17FT5mRxQ+mPMUPqcsGT42mhk++UEiPoTaKT5JxTA+Sm8qPt9HIT7hqi4+DOI4PpCDLj5BTx4+z1kmPqH1Kj5LPiY+g4kfPms4JT7rHCs+6xkkPpKEND5NwTU+wFM7PspeNz6sKz0+mNdDPmw3Rz6aOEE+ljk5PhL+OD7orD4+j6A0Pkt0MD75uzU+YwZLPvBHRT4dyTg+7Rc8Ph+5LT5IMSU+a18WPnW2Mz6CuoY+l4tZPv8lHz7CuQI+cD4RPgb3BT6DDAI+U+EEPv5eBT5E7xA+ToYaPmFdJz6DUz0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8RdMo7LfhrPDCMozyriX48exqCPOajpDx78QI8dpSGPNsDlTzJvp48h36PPGBBlDw+3cQ8qcJKPEMWdjyKRJk8vK6LPC4ikDwrjZM81cG4PCVQ0jx7abo8GOfPPM8CxjyN16s81yW0PET1xzxNE8I8vlq+PLmfqzwKYbU8pDnGPPwAqzxPCLY8/c+zPMTtuDyetLA84162PHkpvjydUs88ivXWPKEi1TzVF708Nl/BPN8rxjzd5sc8Al/NPLluyjxXNOM8LCTyPAn1vTwqOsw8/93RPKeU1TwBzts8rk/oPGnY4zyOs/48zs/3PNoc6jyeo9g8tHHcPAuM5DyIj/s80Y3hPCjMyjzzQs08rHzdPOV76TxGUfI8MtLjPP685TxiG+U8bJbNPHjpyDxGbdU8FRrePIYt3Txzxu486C/zPOf++zydtPk85VPpPLAP6TzlFek8t23dPK316Dyp/vs8uND3PNWv4zwoOec8MV/2PDGh8DzPL+Q8CikEPXvyDD3nEA89h9UYPQKsAj198f08xUIGPcg19DzyMwo9OioNPTN2BT18Rg498aISPSXcCD2f4wk9WJsLPatpCD3urf082Jf/PM228jwn+PA8ZGz9PB17Fz0Ahh09NNcTPf4j+Twuv/s8hqnzPMoV9DxTI+08SkD1PKkm/Dzc3gU9y8L9PP6xDD2ElAI9um3tPFK0xzwJoMo8uXTnPAAyAj12Fwc9H58HPQ399Dxsm9I8U6LbPGwI2zzc2+A8YbrmPOLo4DxYd888TZ7ZPD1nsDzgNKo873erPPzRoDwgJ688wwm3PKAotzwr6Kw8awuqPHW7oTwoxKg8Qj+kPH9hrzx2hKg85gy7PBWjyDypS9k8207KPF+VxzytXrg8gNamPKNNmTyK3qQ8kbGlPLsArzwFGKg8OIiePMx8mDxKL5w84E6OPAmVhzysX4U8gp+FPKbNhzxRzYQ8cKuJPFdrmzwN6ZY815qaPGYtmzysbZA8VHCUPM9voTx4Gpo8nBqMPBC2jDzVNJM8hf6TPPuJkjxJ7pQ8bEebPGvimDwoA6o8G1SoPMCTpTwmb6E8FTuVPAYUmDzKKY489VGGPLGojjx2TZY8qJWRPHVfnTy3wqE8MMSsPG6/pjyX7ao86MKePGNemjzkX548qwGePGubojxRapc8H3mRPM7JhDx+bo48I/idPORDlTxD3JQ8yKCTPOAHlDzXIJc8PbCWPFiMoTw3Xag8txCnPK5tnTw2OZ88m26YPGP9lzx1VZM8ahmUPOe+izxO4Io8jdmTPLTOpDwHxp881jWOPDO6kjzwGZw8gCmrPEcoojyFuKU8H52oPH+BtDxQGL089omxPAx1tjx3ysU84nfoPHwG+TwmkQA9fETrPGRuzzyGOug8fevqPKSc7zzKA+k8idjiPHe05jz5Zvo84Mr1PG2f3TxsaOQ8ZdfsPOkO5Dy1bPI8BmcAPS0e5jwrCto8rc/fPNV72zyjRNo89NTDPMzFtDy3kaw8k32jPPG6ozzWr6Q8p9WqPEDnrTyWd648RJi1PEGbszwPY7U8bl+2PMSGtDyP7ss8+PLSPGgp5Dw+Fek8WMb+POip+DxUKfs8Q4H7PNueAT0d6AA9rkQDPf8lBD33IvU8YbTsPBOS5TwND+s84RjgPLkc1jyPWNY8KFzQPHNtzjzRdNg8Xl7aPBAJ0zzZ/dU8BUThPPfx4DwhLcw8+tC8PF4Twjw3hbY8L9+nPMYftDxU0ME88G+8PLJ7tTwizMY8JKLPPIG45TwbafY8Mq77PJocET2AXDM96WgjPTWeDT1XrAw9+lcGPf655jxODs88AkuTPK8PXDycvSA8qlUTPJlbfDxTL149RNjdPZLDED7miS8+D7EYPhvnDj7c6Bk+UU4iPoXyID6USRQ+IVAkPlw/Kz6VKxs+ReURPhmiGj7rPhs+WBoZPpINGT6+bh0+M3sbPuTGGT581Bk+BzIaPujRGz6BORg+u3oVPjYoGz4eEx4+hgkaPqtpFz6kYRU+uOoVPn0uID60diA+OJkdPl3aIz6UAC8+P1g8PmB/OT4PokI+ie8mPoznIT46zig+kfIuPrXYKT5WkjE+owM9PjKqVT62G0E+AJBFPsZjUD4BJj8+yMVIPjt1VT7EFUA+csNPPgTwUz5+SEg+84E+PnXuPT4wyzA+XWI9PuamQj6DhCw+O9ksPtc1Kz4SBwU+0JjqPeKmEj7d2kA+erFKPhvDGD76pOo9oWHjPZi97z1Uug4+r3AaPgjyBj5eHhI+T18qPntGJj57dhQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/+S4yOx8QFjw6LIU83VU/PCNxHTwpyGE8tgOkPPOrRDwZl2w839aSPDhKSjzc/1o8qyucPMsstTzi/Cs8JAJTPNRMdzzsVF48wM6JPHlJnTzQbo88LdmIPJyCqDxAz7A8e6q4POThrTwqcMY8pKX4PB1V6Tzv1dQ8Y8zVPEC/wzwAAMY8L03WPJ4Fzjzr6dY82AP2PHbR3Tz7HMs8cWLqPKCCDz1q6+k8sLnvPHiXDj24FAM9ssH1PNKP8zwTreU8PorTPOlLyzyINd48PTDbPJIE4Dz/T/A8W+TbPCyJ4jy+9eg8i//dPKJ32zxGeeM8wezpPH4W8DwZwO08tLvmPDpW2zx9htE8Bc7OPCZL6zwDHuo86HLjPIPB8zxgfPg8D3cAPTn/+DyTmQY9XRH9PHmx3DyWgO088hf7PLtPBz1F3hA9F1cTPRAeDj0RCAM9QXzqPDC57Tzqee48KDT4PO2H+zz/Ngw9NxoOPeAEDT3XWgk9rEYNPfGhBD0OHQk9b8ccPXKlBj07EvQ8PZPsPN8J7Tx81As94qAtPYxXJz2glAY9jiDkPJqAzDz5Mt48fZHoPEYYBj2wkAY9l1UCPRbvBj1XwwY91JgBPYex7zyDM8c8noy3PK4uvDxD7dM84DXkPHQE6Dy8MPw8KC7hPEDSyzx2470853e8PFZ9vTxV5rs8tHG1PHnRtjzcIcU8SDqtPD/hpTy4E608mvC4PKM4szwkz688SkmrPJhnpTz1QKM8HRGdPBA4kTxR4Ko8F2S0POgnxjzt28o8cDHJPEnR3Dwqe848XSDKPH0izDww3bE8JAW8PC+9xTyzirU8wQqjPNmVkDxRpY48Z7+LPBMNhTwIi4A8XymEPF9+nTwNa5Y8DpqTPFoxiTw0hZs84KyuPD3EnTxLpZA8a8yYPJIAlTzVwKU8gDakPM+blzz6VZU8/DePPLuPjjwhppU8msuOPBlCjjw2zZg8c+acPPsMqTz8m6M8JtqrPFTvqDzMRpg8ZX+mPNYcmTz79Ik8dDmZPFd7mDz0vpE8VjmZPEiSnzyyj6w8NvShPBR7njzbjps8UOifPF0ppjx5haM8INKmPHvNkjzNBY88UOmZPPyVkTyH8ow8vk2SPGMphzw8moY8RFuZPMkVoDwOCaE8KI+lPPbWpTwKiZ08EiObPJJFpDyKOJQ8R/WKPLe/eDx204E8baOKPHI6jDzTrJo8P/OUPHcUkzy4NZw8w8OaPGG3nTyQepU8x8CjPG2yoTyNdJ088ruuPPqSrzx9UrE8/n3IPLK/1jzIbtE8Ch3dPGZK6jxlpPc8SZ/vPMou6zwXQOY8iGXnPOoU4DxOUts81CrjPPK+2Dw7Jts8jYzRPB5A0jyVO/U8XisDPZAIBD0cpAM9isPvPGWv2jyPzNg83yfLPJ49qjz40KM8Fa+ePIUlpDwERZ88KJSiPKPErzzFbK8803GvPG9GsTwccLI8L/y0PPxrzzyIpsA8CiXWPOVg1zxDktQ8ZsnZPMNo6zw4ovk8STH4PJIjBj1EgRA9G/YBPXPsBD2bDQw9n5QPPcn4AT2HI/I8VXf/PNrBAD267vQ8JQfXPJiJ4zxJwM082pXOPCDoxjwAM888AlTdPGxQ6jwaL9k8Ri+0PFOHpzxW96o8/rCoPPFSwTwduME80fS1PMX0ujyrm7089+W2PLGzwjwh48E8l5m9PKFW1jwN6ek8PSYEPV20BD1RH+48xF3UPMYorzx3Y7Q8LFIIPeYAaj304pE9F5/ZPa9X+z0iVds9NTBsPTq2rj3PPDc+g7MePhB/HT4Y2xU+cQoTPurRHz77YBc+Jv8dPhfSJj4F5SQ+rA4qPlgjIT60oCY+wHsbPmxpHz50+SY+1pUaPlbTHz4SixY+FkEPPqxxEz6SvxY+X8EYPsWvFj68SBk+8ksVPkgnIj5VBiI+e2QdPjaFFT4xDA4+7NYcPnyDNT5p4y8+39MjPvk9KT4Zdy0+U+47PrJmOD6VizI+3lQ/PtnMUD7ggjE+qyMqPrS3Lj6HTDo+pAVGPp0ROT5Hhk4+eRY/PnvSNT5Fbz0+Aiw8PodiST4ayUY+uD9APqN+Oz7ZFzA+h5xLPjbaUD7oTVY+RClIPn0lMz78YRU+lksOPngzDD495wA+t9TnPQIDBz6gHhw+VYYJPiJQBD65dgI+rNIBPqiuBD7qLw0+bgAJPtOzHD72ZSI+tv0NPry7ET5WhBY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8vEWg7n7gePHCSjTyIhYc8eSpBPBfWWzzLHpY8hJvMPJKLujxoBps8/EKQPMxbfjz7g3w8ggW3PEW+mDxGxLQ8jzrLPHd/2Dym+748vn/kPKJQAj2xWN88YEgAPfTO4Tw4JOI8sBTsPGvG0jxdtNM82IvfPBun7TxXR9s8EpPJPPEe2jwPkuI8Y0ToPKEh+zypGtM80DDxPKTn/DxCjQo921wQPdpOAj1Np/w8ErLzPHys5TyeweQ8XOLSPO6e2jwcbv08BJYAPY9k6zxEevQ8m4wBPWvSAT0m2As9CvYMPWa9Hj1Uuxo96DUOPdiQBT0sr/U8WRb4PNo95jzSiOU8gRjwPHhKAj3pxgQ9ST4APbx1Bz1TSQs91+cNPTMzBD0m3ww9EDAQPUtiFD10AAs9jDL3PN8BAT2sIQE9HW4CPd32BT1LpwY9c00FPT06+Dwtu+k8JP70PBcf9zz88P88HXr2PL/1CD2Lwwk9/NINPREuET3V8Ac98rzzPDJF1jz9GcU8aQK0PHcfwzzhOck8xN7NPPUO7jy+ltw8PbG4PEnGpzwhhss80PnPPM6GvDxlhcQ8yoy8PEK4xjwEcMw8ePjAPER3wzwRtsM8Pw/OPAlhvTxqELE8XI+gPIwFojzzYaI8dsOrPG42qTxy07c8LTnDPBrfzjyUt9Q8perLPA2pzDz5EMo8d2q+PBQOqDz7uqI8XRmvPDsyszz7Ccw8wj6vPCUjkDzlipU8J3WQPGzllDxG4JY8K1ObPKLxnTxMjqg8f5qkPD0BozwXD7Y80Q6rPKcwmzxApJ0870CVPN9qmjwXpJ08k9KOPPk2gzy7HYo80+CIPG+KjTxhnYk8bt2OPKNfkTzcLpA8seyiPOCHqzyBQq08KxadPFOMpjzM95Q8EUKNPFb/jDxDg4g8kUiQPI+5nzz/+aQ8jmK1PPv7rzzB2qw8U/qkPOajpTyQfKM8Uo+lPItTojxNDZg8WjWSPOgBkDyvxKA8agefPPwNizzDeYE8S9yNPEMKmTwvGZA8TSqfPBykqTwRsqE8/p6bPAo6lDzZW488YreQPH8sizxIVoc83/CFPPtcgjwN3Is846+YPOahkDwSz4s8HSqHPL9ViDxiRog81duFPJwJjjx37Jg8jvqhPHrxrTwmEKc8KOq9PGIouzw3uL88GZXTPOkq0TyB7No8MWTkPJ4b6DyJJOA8ma7fPFHT7zxFSeU8wP/oPN9A6jz13OU8M5DvPMys5jzWzdE8OsvSPNf90TzgC9s8bCDVPA3+sTw+HrE8qcijPKgLlTxIppE8/AeTPE90lDwh1JA86xuXPGDwnzya/qI878a5PEEnvDxpz7A8jjaqPEqGpTwNo688F3+yPP24uTwqUcs8MtDbPBeu4Tytkuw8bJP5PDtd/TxF2wA9jicKPdHYBj09NQY94vICPS2GBz0dVQk9h8n+PBho+Tyc+/M8prjrPJba8TyCNes8HevJPIglrDyj9ZM8cRKMPNONkzylrp48KhGxPOCqsTybO7Q8HgmoPEvapTwVhMg8IW+7PHkhyDygEM48DSfQPDsH0TxJecY8TOTkPE0D8zwdnQc9Wpp6Pc+FpT36JKQ9DBacPXmeiT1ZmoE9XMKPPUttwz1I+/M9B2YRPoBkMj7pGi0+IGsWPkTMHT5JNCI+x0wMPujqMz4NyDU+pJsjPpOxIj7loh8+McMbPm9UIz69Lx0+88AgPljDIj5hCiU+FUggPkbeKj4QACw+moUjPlcMHT7SRh4+ZOcaPiq5Fz7Qiho+c2oPPgEADj4vsxo+DUEiPhMgGT40PRE+9a0QPjkxIz5avRU+5PAZPlCdEz7ieBM+9v4WPuAfLT5zoTU+smQzPoPsLD5ndzE+go8rPip3MD7RSzk+Xkk2PuQ7ND4J1kY+NLFCPkuFPj7rpio+KpkuPvLONT4pakA+UvlAPilmUz5gdD8+ZWArPkwfKz6XNTI+s4MfPsa5ID5LiiM+L5ocPirkGz6pGj0+f15iPhhJOj4vLiY+NjMYPvhfHz4tXjE+7EkcPgjmDz7QaRM+aHgPPpbYDT6DqA0+LaYPPvUSEz763Rg+bCsnPpdyIj59ahM+zfURPo3/IT5rGyA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7G7xzuz4no8S6yjPGnLvzzf2JE8cA7VPGcuBD1jL4g87iquPK0nsDxcz4w8MWejPAc/yzz408w83EiUPImenzzsLKU8jV6tPC7Y3zzbmPk8U3DnPOamzTyFUdw8f67kPHG3Az0lfB490iIBPawm2TwJJvU8dh0BPYhH+zzcwOU8Z3/1PD5cAD0uXgA9AkwAPVT4AT3Orgk9BnAPPRQpFj0A/hU9Gu4NPStbEz1jhws953j2PEwM4zzEa/I8dgoKPQebED0jRgc9j0QRPYbhDD157Ac9ufHkPEU7Bz2J0wg9kzoCPeTmAz3PwQk9UHQRPQs/Bz0MNfo87s4JPdASFT3DmhY9584OPW6dDj0KbRM9QUwVPSLwFj15ihI9cYMUPel5ID2WARM9kNcVPX3DBj0QZg49qdQMPdzSCz2S9AI9bcTkPKBjyzytY9M8a63OPOv+wzykftQ8xhvWPN/U0jxbdcU8ZuCtPKmkpDyOaKo8ThK0PBn8wzz/fb487Gy/PDNBuDxj/b88i8bUPFo18jwX5+Y8k/PKPEvFtjy6f6c86weYPNEfnjzZNq48Rmq/PHbmrzyW+8I8FSrAPEF8yDxIUN089kXhPJSFzzwbpa48ZAGpPJUMiDxqt2Q83imOPCUCqjyFbb88u/myPBuYmTygfIk84OqKPCrvjzwP24o8SqGTPIhdjzwYqp48MfefPAHQozx61aE8h6ihPKDMpTzoKp48/GydPO10pDwnH6g8hvWoPI5lmTwT1oA8iQCJPJaEkzzlJIs8QGCCPECBhDwv9pY8LnypPL0AqjyMWKM898qkPDY0pDy5e548RzOUPOwTjzwuRps84/ScPIqprzyQF608Dce8PPNuujy0XrY8CKelPFRWqTyReZw862OQPFT4izw3U5I8kk2MPLuoiDyr2IY8qqSPPF3GhjzirIw8yf6WPNE/lTw0f408HAiQPPFonzxF9Y48DoiMPCnCiTwhdIA8EtCPPK+rjTzBaYY8GkGGPPY9gTzECX88bDuKPFkgljzLTY08Tr6WPO7DjTxXGJE8uiqbPOssnTznJqI8lfGmPFC5qzyqbro8PpvaPOt5xjznpso8fJLdPM2J0Dy/zOI8Q3T0PJ2k7jxEk/I8t3/3PNXK7Twj0t88+3XcPNzyzDxWHNQ8gljRPKgWsTxGUZo8iMOcPNTXoDyVO5U82XqJPA9ugzwym4Q8v96OPCNlkTyfRZo80qGcPCPgnjxfA548yBmYPJsmmDw1H6o8blq8PDbwtDxS47E8kGiuPOVgpTwxN7I8ba/APPeqxDzqctU8X9fjPJ0Y7Dx8PPk88/IEPbnzAj263vo8s337PPDQAT00UQE9/zr5PA2k8zwSIfY801XoPFx92zxbfNk8IofQPBbzvzytPL088KqhPKd8fDxYTmU8vldyPGmUljxSrKw8O4+iPLMkoDyBiKY8uaKrPNW3vDx3xMo8DcjKPJYFyDzt0Ck9uguhPQVAvz0tD7Y9zLLmPa+85j0OJeA9+QkSPvvOHT6VwCA+s0YfPj95IT696yQ+zTIoPvjWGj5xdhk+npQpPkXpLz4SUCo+w1UjPn3oID5cQSo+yHsuPn0xIz6xEjM+to8uPoasIz5iihk+1JIZPr3xJj4WVSE+hRwcPmI1Fj5wexs+eBEjPs93MT6FCCw+8xUePqp7Gz76Wx4+SO0aPj4THD5/1i0+IjdBPpZRTT7C0Uw+EBI/PmhIHj4L6RU+POIZPhK6IT53PBo+CO8HPtfCCz485RE+rRoVPgv3JD6fUyY+2YktPouGNz6cBi0+QSElPgUbJD4GCSE+VvgiPgoGIz7oCCc+7dQsPisHMj5R1Tk+SxMqPvT0Wj6mCD0+1H8cPt6HID6Q1So+HoMwPrkxEz6kmxc+xg4JPlDTCD5GzAo+t38TPjLDFz57CjA+r15dPgiQQT57EyU+OR0WPqTKGT6Rmxo+WOUPPpCjJD6OqC0+g9EWPohcDT6MhA4+91MVPm0eGT6p+Rs+TRIvPjRfJT68/R4+PhwXPtniCz4uZBA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/kDIrPEt9bzwCzIE85IuXPK51tDwKFdE8iEdsO+VNJTxinaI8OifCPCXb1jzpsgM91jO5PEBGZTxGzMI8YuH7PLId+zxep608tQnDPFmE4jyekPg8UPj2PC4Q4zwSrvM8AfryPIjIAT0S2ww9G7cIPajO/jyC1vw8e+P3PDH7+jzAyPA8azMGPYzHBj2Zewg9T5YEPZN0CD1+RQ894KIMPfBkHz3Sfhs9FmArPRE7Mj2gHSM9GNwKPV3r+zxecBg9ozYWPSbf/jxneQo94gklPVJBJz0XfiM9YyohPYQqGj09Iyc9f+4sPYM5ID00QhE9gb8QPZG9AD3fCgA95RUFPfUxBj0Svgk98VcJPdesAj2kFfk80iH3PAct9Dx1VAY9L1/tPBxXzzw0o8o8WyOwPP2ntTwrYLE8U5C3PIJbxDztrLg8TWe/PI5Pzzyvzto8PRbjPJfFyDzT/rU8x82YPGdnlTyYLZ88/VmlPJqsqjwEJL48HfLiPJxk0zxQtsQ8oHfPPFFD2DwvvNk8Q3TVPF9UtjyiVak8AgSMPBRwWDxLtEk8TrBPPDgAZjwGz3Q8RhZ6PExdfjxFCns8+MiAPMpcezxGunk8ss+FPHpvkDyDMZ88UI+cPNyaozye9qo8mhynPFwQojwxQKA8sFSdPF1SpjytuKw8d/OlPDMhozyWgY08/2KQPPaMlzwUXJQ8mdOMPDaAljyjg6I8U2e4PGOLuzwlpa08mLu6PI1ssjyy9qE8wtCRPCAgnDzpoag8sqSlPND8sDxDsqk8HTKbPLWisDxgpLI8gXOVPD7hjDxUr4s8G2KDPGY+djyyt4I8cZSSPJ3QljxKI488HJWEPAA6hjzK0Yw8nwONPGlljjwXnI48p4SJPHQCgTy1o448E7eYPNrxkDw8BoM82XaEPKE9ejyAM3o8dRV6PG07hTwtS4w8DsmPPFp1iDzjIYM87bKMPFi/kDxm34A8jLyFPNzVmjw00qw8khu/PDClyzyM87k8STivPD18pDzi58c8i6TdPO5T0zy+Td88FUPoPHom6jyov+48N/LlPPCd4DyWfd88Bc66PMdRnTwCLZw8Y1aLPMjZZzy9/mI8Sr53PB0ygjz06oY8X0l8PAe8eTy+TYc8+EWOPD/ykjwI1Zg8ThyjPIsUpjx0TaA8uqCbPIJxpDzPSLE8Hki4PJMUvTyg97s8hDS3POQVqTwJsL48/4fQPOAWzzyD6dM863TjPOYx8TxO9Pg84DcAPVXLCz2hRwk9SesEPTWZCD3Kdv08df7hPKsl0DwPkdE8MCHMPCIavzwTc8s8Lmy6PLZimTw66H08cT9TPN/ySzwvkG48sjWJPNRAojyujK08m2CrPAjmqDxhSqc8mCq9PJKx6zwBqiA9ZOSCPYrh1j1OXQE+EEwXPuN+Iz5lhCU+tA0aPu+1ID5gkCc+sbMgPtSaIz7G4S8+Ba8lPklAJz69lzg+LMYtPnCzKj6nGh8+j70ePlmCID7cayA+Q/oePlSBFz5lnxk+rv0dPnMxFD5BHSo+dTk7Psn6ID7vrBs+jQUhPhBhGz5R8DE+s/QoPm5vJz6gRhs+X+0QPrQbJD5aXjs+gSIhPutmET7zWSM+iE8zPvAYTz5V2FQ+9ck4PqwWKD5L/B4+R1oRPhulDD5XyxE+uTgOPmu8BT4VoQc+qzcLPsMfDD5h1w8+dU4UPjfPHT50oCM+HPMjPrTvJD4lSyA+VjsmPutQJz4OqiU+FisoPttAKD5lsRA+6mYIPro+Dz4N/yY+ODEiPp+XXT6AjCY+PgIRPl6hFj7hGgA+ZLsQPtmiCT42Bxo+eG43Ph3XGD5ZtxY+kbEcPjfqHj7lrxo+V6w1Pr0jQj5TBzU+QEQ1Psl3Gz5/1hA+kHwAPrPp/D2uIR0+/xkfPjwhFT7v+hM++q8iPpxWLT5GjzI+if07PrtZOT4NsC4+S7UjPrOJHz7dBSI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8p1WM87GugPGezuDwD6rI8EKWbPJCx1jzpKPc8w/aoPCnu1DwE/AA9iGbgPNwU8zwlLPI8b4G6PND2zzxVUwI9ILEHPYxuDT1tlAs9bNYUPScAHD1eNSw9zfo+PbD+Oz22zCc9glgXPREOFD2NWRU9nBUMPX8oFz0L3S09fAwyPSChLz1k3Co9AI4PPQX7Gz1smzM95+AjPasbGT1tpSA9ZHkfPVdoFz1fCxY9YB0YPZEqFj0InhY9jGgXPUg7Aj3GpfQ8e8/iPKhH1jwJm9E8dIzDPOHhwTzR4Lg8UFa7PAJ0uzxzIMI803e+PPWt0Tys4ss8QgLFPIR1wTx/Gbc84xyuPAp9tjxvca08FtmaPB2VmTySfJg8GyuZPKvzsDzw2c48MkjZPEMU0TwNAcM8YTe/PGtF3Tw2aeU8sNzPPPkrtDyEU5k8K/97PKppfDx7Pms8vSFfPGruczy9hXY8A4SBPFkAjTxZ4Ik8kPeIPE32lzw1NJI8OjiTPIkClTz3XpU8f16ePCqgoDxGzIM81AJ5PEM2iDwl/Y08VKOLPM6RkzwVuJY8V0uSPGxcljwdMJE8pxGRPBJSjTxxtZQ8V5aePGo1pzyZPJQ8fQWUPG4/ljxlKKg8U+m4PBRMqDzsX5g8IO+UPLyWjTw4lJI8hCyhPDtGnDyAXaI8HgWYPJj6nzyiKZk8njWOPCyMizzM34g8diODPJ5pgTw4+3s8Q2WGPLDvjDzrjpA8P+J7POo8gTyaN4c81XGFPJuLgjwvlIc80/l/PIFlljxCeY48D5mHPKJkkDxyxIY8cD5+PCo6bDygoWQ8bTNsPKL6azyTCHE85G5vPL42fzxXgHs8ogmDPLAAkTxd2o884WacPMQjqDyF0rM8S+24PFY/2jw5Sdw8HJS8PA0gtTwwMr08rpjjPB+J3Dz6T8w8VLnSPI+Q2DwDqd88q5TIPGOvoDwa+GA8vUBtPIv3Yjyns1o8+S1QPAw+STwWX1k81yxsPHk1dzxfUYU8B0qSPK67kDxKJIw8IX6YPJO4lzwPZ5k8neOgPMyUqzx8Aqk8lQKuPAohrDxzKbU89zuvPPYmsTxzUaw8Fpy2PAe5vTy42cI8ePHEPPe04zwehOM814jbPD4m2jzfwOY8KazrPD+l6jw/fPw8iabnPPJtzzxrfrg8JoC0PBJPpTypYqU8jnavPEDumzxQ4IM8aLx1PH6wUzyLqUg8zAA9POSBSjygEmU8Ihp/PBeyfzwwnYs8CiWWPPoClzy5lLc8Y79aPcaf0j1mMB0+/k8gPps0ID4Zvhk+w1MhPj9vHz6BPik+8vgoPu1SJD4+eSw+9eszPh+pKT4HPy8+3w0sPjhyID7IzCo+ZfMzPv+RKD6MYiM+keUYPrCfGj7cliM+PO0TPpB1Iz59LyQ+IZsjPtNOIj6MrCY+FWIuPrIfKD5YTiU+iVUnPhxKHT5Mlh0+25kgPi5FIT7rMRw+mioxPlj0GD67uDY+xi06PsSuGD7O0xU+JPgMPomoFD7r5yM+kCYsPpudHT5Orxo+egkkPi69GD4OVBA+qUAIPjiKBz7E/xA+fVoePqIuED4AKA8+YEAQPmPLHT4xgCY+Ys0uPmQyKz4Smh0+jSEfPhcSIT4UgR0+V0YdPrQQHT74evo9MjTTPVA3DT5SUy0+MNEgPmRxPj6lKhM+pp4WPskWHT4ioQ4+qkoEPjjiBT6vIhc+BWARPpCPHT6ZNhU+AAMWPiFBBj6p7AQ+qhUNPgoRKj60tTE+IOQrPpY8Gz57kRU+A8AIPiFQ+z32cg0+QssLPkxVAj443Q4+328WPsnNEz4saRo+oMI1PnvxQD50WDE+4SsiPuIWIj7I+yo+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/1hi7O+r/gjwWRdc89t8IPet+vzy3z8U8x3rwPHxJiTxRl+E8VX4ZPXgt9TxQfQM9YwsbPetrGz3R6uA8Lk7tPJBrFj0mhgU9H0ICPUwAIT0yyiU96xQRPQRtEz293zk9528zPZkgMT2axyQ9pz4ZPdEAHD3unSI9D7klPU5yJD3NvBA96YwMPSOH+TzQC9g8zFHGPOkswDz/dsI8ArLAPFKtwjwkevI8O0MAPUNz4jxGlds83bDLPEpa1zzgLdo8EKbdPGB72jz4Acg8Zhi6PCwmqTyYypo8NueYPFtRpDxwJaA8Nx+hPN+FsDxwBcg8ZDTSPIrRzTwJA8A877TaPMh47jzAfcg8wiqnPIiypDx7Qq08aW+ZPFZNizz4mYE8hDx9PMyiYzxCWXQ8liKJPEDfhDzlCIo8yRGePAeqnzyYopA8czuGPKpgjDz4g5U8Ug6YPMglmTxt5oo8HTaQPIQhmzzotZo8efSZPNRKozwOCJk8AMqiPCNKlzxyl408HGuTPFWImjwWS5U8+JSePDcCpDwurp08aAaRPDyhkDy9BZw82+GhPGtstDzTp7E83JmWPBCTnzxRiZw8xlmcPP7zmzzwlI48PTaCPIRafTwxsnQ876qAPJxpgDyuMoE8M7KKPJ+YgDxr1Io83TqSPJE0hDzazYE8LohyPIWucDxnoYM8wo6HPAnChTyOn408Pmd1PF0dfDwjIYM8GmN8PEWXdDwbDms8TeNvPPQUYDzcqmc8SgF6PF+4fTxw2H481AaDPDf8iTyVEJM8TkGRPDYukzwZZaU8epKrPENqsDxsyMA8LpHNPH8i0DyhXsY84Ia+PMQ0uzz9iq48HAawPAOjqTznX6A8Va+IPHDkgTyg6X08ft5hPD+oUjxSUz48qOlAPI57OTwchU485DZkPInxWDy/2mY8uLRnPEj+bjyQ5Ic8lPaRPP40kjwnz5c8HKyePH7WmjyWbZc8FRypPBNCvjx9r7888OCrPFcqpTztIqU8CVmgPLUSsDy8Db08Tcu/PC+GyDyN+8Q8FJmqPDrmrjwbC688XVSxPLjSrzy4lM08ynDbPLTxzzw96Ng8q7fBPH/PpDwqQJk839SSPGLJhDyIYm48Z5VLPOb2OjzESjA8Py0yPGEnQDy+00w82Y1OPNUZYTzqj2s8UTFuPJo6gzzavIg8VM6APMwDeDw+Co08sAjlPPgVkz1wLSA+byooPlsMID5uVis+82UgPqdhGT5hmTM+SFsgPpz2Gj579xk+spwlPsasOD5ZqC0+u+smPtGVKz7i3iY+Cm0qPoYEIT6tEys+cx0nPsD/Hz4lfCY+5rIXPnHWNT4QtTQ+YC8fPrNOIT5aIx0+0O4aPi2qJj5XQCM+ovwpPvjzHj5iJhk+uLYiPmwmKj73zS8+azYePlBBFT7X5ik+q3dEPimRJT4Paw8+bXoNPlQoJz46jRo+kXMiPo56GT6Duhw+HOslPu4lLD7hNB0+KUwSPhv+Cj7tbh0+hRsZPr6RDT5lGBo+da0cPnfRGT7cKBo+LO8ePlF/GD5tDRA+ieoUPuqyHD50xRI+MvsOPpAhED40yO49IzfuPQDJ+D0twQk+1PwHPnsSBT6v7C0+arwXPrlDET7EzhI+OxMEPi/c6T2Zggc+dA8SPg60ET7rGB0+KWQUPlNwDT7hJwo+o6AMPuBeFT6R2hI+A0wXPg5xID7X6UM+WiFAPgMsFz595hw+/PcQPl8OBj5bLwg+s1kHPoL5Dj5aLhs+3SAjPjbDIj7VFx0+38QhPkXALj4Bfy4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9mLo88HWKwPFZCDj2GnJ48Ele8PPt5ED38IiY9peCTPOgvwjy5ixg99vL8PK2DBj2rtxo9CLQaPVTqpzwtV/Y8LdwQPdJ7/TzAK/08ZLUWPT76BT05XtI89eHKPMDdzjx+n9k8wN3iPBhK8jwzhgs9Z4sVPX/fEj3xQN88zGSvPPsU1Tz+kuE81PHTPP5B5DwAJ7o8gvOvPHowtTwwmK08XHCfPAQemzyMp6I8N56iPME/szzNw8A8rSbCPHYcsTyjL8E887fwPJ/a0TzSkbU8+VqsPCvFqzzkKLM8B0yuPAQtpjwjQ5s8sSOJPNV2gjxlsIw8osCGPDDziDze8pA8YN2EPM8bgzwgeIA8eKV6PPiseDwOnGs8TUyLPD35nDzPv5w8JA6fPPq9nDxFDJc8xrmaPOULqDz9Lp88r36iPEG7qTxpK648jrG7PJDaqDxUv5w82zCmPLuvqDyOz5o8KKWlPBidpzzJo588cB2XPKCjlzwOhZ48KyWTPGKBnTxDiY88jKiDPPDClDzFJpk8rmKGPHvkaDym1F08f7tsPNMFejwW9XI8kpWCPCZ4gDx2B288Y0RePOqIazzynGs8ztdlPIIHZzy96Gg8BmB9PG1AczxZAVI8qhBbPKJsZjxLm2g8RUNePHp8XTwGXG481oR2PKaTYTwiI2U86m54PLcbgjzLIpM86ZaUPPjBkTzQMqc8svaaPIGWrDy3a6Q8bv6ZPPTquDyZNck8r/q4PEhMsDyqB8U8eSnIPOqytzyRKZs80ul5PPhdXjzBu1c8HTVCPINGOzxFRDw8Uo4uPLaAJTwkhiA8vXokPOyXMjw/tlI8uIhlPHOiazwuw3I8ZLaAPM03hjxUGo88IaSPPB4ajzz+l508kPOjPOIEnzwMYqQ80K6oPHZerDy7SqU8/OinPOumpzxOxKE82nWjPBZetzxvRrw8HAa3PJcTlzzA05c8rT6iPICwqjwK/rE8H820PEaetDxQA748oELDPMLwxDxagsA8X+2lPAcOiDxTs2U8qwdIPOyzKTzg8hU8y9oEPEZJEjzStxE81KoWPCoOKzzE1DQ8Fe9HPCFlSjw7oUs8029vPILDdzywyWk8G5VtPHNXXDxSQW48Uku2PC6c5Tzn3TU99AkJPpaAND77bCg+lwUfPgPdJD4PWkM+rcUgPuZzKT4euSE+q/ggPqcAGT5XFyY+MDgZPg5jFT6bYiI+T5glPvCSMT4dVyA+7g4yPsHtKj50XRs+/dQfPj1jHD7p0hY+RmwhPuywJz6fcCs+LCwiPgv2MD76Djk+3z4dPsLkMj6vJTQ++VYaPnkRJT703y4+Pj4VPtqfCj5cwBc+v/IdPphPLD4dTDQ+xHQZPkXqEz5GfRw+wskVPhJwDz5ytxA+3Z8MPut8Fj6c5hw+ss8SPpOkCz5hNhM+CcsLPq0oDD6M7Sk+HCpYPpfHLD6GZSQ+T0saPgQY/z0HwwA+/KAKPonhCz701Ac+Ax4FPnGW8D3j/uc9TkX7PThc+D1cGAw+1jAQPir/5z3fOxM+uk8SPol7BD6q1BM+4U0APqdjDj4AlRc+sAYcPquNDz7e4Pg9P8j2PQpqBT5kghk+tv8gPvzrGz5bvRQ+1u8gPqhkKz4XAi0+heErPnR6ED7FNgM+RZz/PXQjBz4H7CM+UHIjPvkeLD56XS8+yMcVPs2nDj4cpAU+l2saPm7AOj61yjs+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7WluDsg0SE8T8SVPK3EzTzBDY88+2PaPBjd5Ty+M4k8Bia3POmatjwhw7M87vyYPFgitTxB1Ks87Ld4PKWWoDzEKLU8foCfPECgnzxEa6M84X2rPLXjoTy2Eas8MDDAPI1Y2zw8LNc8S+XGPB5Iujxh6co8DZTdPA6N1TzhLLo8oPSqPJHWlDzT/Yc8//iDPJ9TmTwfUZE875iLPFRelDyHhqA8IdeXPM/5mDxUk5M8nuKOPDYKkTxtkIg8YdCIPNDhkzx6hok8iN2LPDWVkTxjYY089bKRPBz8lTwYRp88jmekPIxypTy9Upc8J4+jPD5PpDz5M6U8jn+iPHx/jzxFp5Y87GCYPBkEiTwKyI08g52dPPkFtDwyvqk8xDumPCHMmjxa66A8yJ2cPKrokzzjM4A8W6KFPFxmkjxGGos88iBlPPCKUDxLElA8oT1LPDs1VTxty2Y8A5ZVPNNpXzwFZm08OStqPPHqbTy3LnI8WjxoPOiTYTwEVGM8hDF2PAB4ezyhdG08Su9rPHkAcDxj/Vw8mltMPE9iZjwtYm88FYZxPDgtdTzYoIA8lmOLPNk1jDwU4Js86/WhPK3GljwJNpY8XRyRPJcEkzwzoZ88W++hPJ2/yjyHg8Y8wAaePGIijjwor5A8rPSJPEC4eTyNo1Y8DPpRPHoCSDy9dDA8p3YkPFkPHzyeJB88HRojPHIKLTxzj0I8yJQ4PFd/SDxwz188Cet+PPc6dzzFjHE8vOyGPG24iTx+pY88Rt2VPLgDljwwW6A8frelPIVynzzHKJw86LKePIuYpjxKPac8YB+WPMf0lzyDApk8suaHPK9IgDztQng8VX55PMaMhzz0z5U8vfuVPEsKlzwUqJY8YXeQPAsOlTx8/Yk8N0JvPP+ndjzoWIM8Jot5PPRQfzyrVHw8kAC4PPtgIT3TAgI9jd0OPNH/rjs8lAk8U+cWPLwULTzMNTw8qHQ9POQpUzzsEVI8AdlaPK6eWDz0zEw8oqpOPIWzPDzesUI8NpA0PMisODz6A1g87XS/PCzahj10zgM+hJ8oPjYUHT4LvyQ+sN88PuxgLT4Jch4+QVwjPj50Ez5Bghs+w50bPtdIFj7Y+R4+P0gbPu+FJj4Xpho+tpYfPjpMJD760iw+PpYZPrZLAj7lyg8+ZDUgPh1xLT6k3TA+hWsiPqnCFj6H4Sw+Nl9FPtxsMj68bl4+l0E+PpkbND6OjTQ+UmMaPlfyHz6uGBg+QScdPhVlJD5AL0Q+iIE2Pq+zHz43Dwk+mEgOPgwrGT59lCQ+cq4SPlpkBj4i4gs+fOMMPtcEBz4t8AU+L0wQPiuoCz710gs+j+oZPvVKDz7c/xM+pPMIPtRIAT7wlwM+JXz0PYJb8j1tW/w9d+L4PVGK/D0xuQo+DzgLPn0GBD4IIwY+cfkDPhDJ/D2PSP09g4sVPoIwET7KThQ+TEINPqTnGz6KuR4+i1ckPvFPPD4byUQ+En87Po8QGT4j5T0+uR1EPhC7Nj65sig+5F0bPtzEDj5pzBo+Z/wNPmUcDT6f2A4+HN0HPtWLET6sOzU+xI4+PiOKRj5gP0I+h4NSPlemRj7sSiY+jF0UPh+tMD4K6T0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/IKMMOyf3DDw6Enw8BsdfPAklmzyKOno81HV7PGA9QTwZKYM8+lGBPN+Bgjy/a6c8l4S7POpGjzxEhKI8yUqsPEFUvzw3BpQ8q0mBPNXHeTyOQHA8kdhtPBvAhjxEDX08pSyFPKh5mzxMrLY8OXmkPDGykDz9U5Q8ih2OPFhblzyuZ6A8FkigPKA9lDxjcpE8g0ukPCQfpjxn4JY8voScPPnFqTztK6Y8mMCmPLmtrTx3Mqg8fWKbPJeAmDwAdZw82eKgPL3UnzwdKKs8LE2sPItNqDyKvp88qxqqPMGysjwhWaE8pGGOPCJHjjzI/n48CFJ5PGD/gDzOkoM8tHCGPIfwejyQInU8opVgPOIWVTyUUkg8yrRRPO2+Tjwtykk8M89MPJS6XDwBpWc8kFFtPNBDdTwyb2c8ULpwPOVoejw8NX48ChNwPB3GeTyqboA8flOCPBQjaDz2H2881JR6PLnBgjws+IQ8sxGCPMxOhjxsc4w85mORPBzVnTyTVKU8f3qgPH8gqDw3dKo8CXirPEDosjxWJ7A83K+rPMZrxzynPKY8mXV4PKBbZzxkkUo8qq1NPDisTDzU8zY83IImPDb7ITzhMy88LH4lPJ2BJDzUwyQ8gWAqPAu9NjwvPUg8Sb9PPK1pSzx34FM8jKFpPEDzgjxEuoE8bQ6JPFUlkDwNxJg8/AmTPEyvkDyUU548QY+kPCrQmTwgYoc86Gl+PACmeDzA2m48YrFnPNXocDxAvHk8/Q5wPPtVaTyCqVs8f+RYPGwOYTwMYmw8R6N3POC/fjyyNX88iGFtPG2CkDxHpaE8boYoPTl8nT1djqI9XoqvPfWexT0Xf+U99asXPszYIj5zZew9Pb2kPSkFFj3upVs8Q7QvPP/uSjwgdzY85IkjPJMbJzx6aiE8tJwfPE7dKDyoYiY8dhAZPMEdFzwYmSA8u8sdPOrdKDz2u0U8Jc5bPFnoVTwGQbk8vixlPVKpzj0odQo+qBAbPpheHT74fj4+rQYsPn5aEz4awh0+FyQtPtsJKT4hJio+7xgbPo4aDj7QLR4+goYrPuWYKT77sy8+V5caPmPQEj4hTRE+wN0YPhrfIT7j9Bk+hRxGPlC2VD5v2TE+cSZSPnb9Qj6M60Y+cToxPs/nIj4K7ig+szEiPgKpDz6JyRs+DYkhPgP6Dz6Jpyc+5a1BPrkMKT4VXg8+B0MSPuRhEj7u+Rg+Nt0aPiVSJj4etiQ+GF8MPgnvCT6tDgc+PP8cPrtlGz6QNiM+yfkVPr7gBz5CgAE+8rv/PUjH/z1mj/o9D44BPoWUAD7UH/o9v9YKPniKBT5eeAE++UHzPY7K6z1bEQc+BCwQPn12ED7t6hM+7EsIPvO8Bj7W2xY+Ec4qPvyJKz4ZNjQ+J+otPoyJKj4exjM+xsYoPny9ID6JOyI+m+spPmjXKD6ueh8+r7cfPt6mGT67dRM+D6MQPoaQFD4iFRE+mhoCPnauBz68EQ8+jjsUPj1HGT7yZBo+olwmPuA+YD7bo28+O00YPjqvGT4ynhU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyzEqTvvOkc8QxN4PGWIrDwh0zw86IFVPCThejxFu5M7rvcIPP5TSTzlSDk8zN1iPDarkDwWEas8+0JGPF2kbDzBMJQ86JuXPBnGlDwXDYo8S86HPJR/fzy9nos8NG2YPGW/nDwESZ48rce2PJU1tDy+2a88mIChPIn9pjyD9Zc8uf2XPMumnjyd9Z88YGqXPJ+ckzz+G5w8oKu7PC11vjwkiKc8G+maPKlcojwpOok8pUdzPLzUYDx/Wnk81g2DPASSgzxAN4M8PcJzPNg7dzx7cHw8dNpqPCSXVjy+KkY8FrpCPKRQOTw2g0E8ZuNVPEkDWTx2V1s8vcNfPBDAYjxlIWc832ZsPBn0cjzYmXk8CwR6PMRhaTxQB4Q8GfyCPJAYcTwgzG08W3RzPFCwgDzFoHo81eBrPGyodTwpW308VyOMPFkFjjwAGpk8mjStPA/TrjxLiKo8AYWoPH36pTx9mo48NPR3PGzReDzkx2o8PC1RPLW9VzyfXUQ80o4kPCR0Kjz4pR88l78ZPDYOIzwoLDI8wv0lPIyoIzzSRjg8fZc/PMCiQjyn/kI8onZIPO8lVzxN3Wg8RUFsPBwPezzrkYY84JCTPNDciTyPU4s8ACiLPNyuiTxNwYQ8gtZvPLALWzyq+k48tYJKPOiePDw530E8NQ9WPBI7Zzz26G08EApgPMDPVjyybD48LsI6PBU/VDyDOIE8MPDIPKXfNz1z44k9vniYPbEk1z3yJP49vXwgPg2GOj6/gS8+k2QnPs9QKj6G+S4+p+8nPvcoKD5xSx8+HscWPhkFDj7DvMY9UsJZPYER8TwzVTo8TAodPBfHCzx8hQU8llUBPJRWBjwg/BA8XQILPAlHEzzPxg08wQAfPOT7NzxcmkQ8fWBJPNM5RzxUQGk87ml2PMsqkTz3Xwo9XxhDPZslNj1HENw9vEkkPogeGT4T2iE+vsE/PmubNj6zbDI+/GMrPtikGz71TR0+tIYjPgAjLj5Gszw+gFAVPnaGJD5+E0Q+F408Pr9qNj7hVA4+/donPnDqMT5ZHyY+ntUPPpDqET4L5yI+B3QqPhqVIj55eh0++G0gPm+dFz6kERY+TKYhPilhGD4DyQQ+T30VPkaUHT66GzQ+b201PgVJHj7TuyM+nZIaPuANHj5LthU+xzoVPjhABD5eo0k+6R9TPgi8NT6XJRo+bh4DPno9/T0lbPQ90g/rPRal8T3qUQU+7UgCPiz8/T27OPA9W7DzPVHH9T0O4uw9UNnsPcRM/D2feQM+e1cIPufjEj6Y4xM+O48QPnUSED6rLBY+/VEVPn5ZFD45Khc+BpUmPr4/Lz5A0i0+5REqPq+PHD7ImRM+z9kSPmEhID79dg8+pzUIPi/BAD5XGg8+htscPhNXHT6l7xI+9ZYNPhOeBj7J4/89wPABPhkkIj61VyU+jK0nPjPTKj4YdR8+lTQSPpb2GT57Gis+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/DG18O/xqMTzhlno8sCyBPOGQeDxU4Hc8AcDhOmzo6TuIyl08DeiAPAFtYTywWWM8qZeWPADuMDzlZlc8hKWZPBq5oTzpiac8daKaPGZRkjwiAYM8CZqNPC4YozwfD5M8m+2iPK1Erjz9+5c8O52APLpgeDwD3oA84mt8PC1rgTxNwoY8cIR+POzGYjyRTms8tEBbPDXLTDzLsVA8wg5WPAEMTjweaUg8jBU/PAquSDzM5Wc8KpdwPKAZXzyySmE8CMBnPNH1VzwifX88B0puPKo2ajymSnE8hKZePGeRVDyrRFw8ANRuPMCAdjyxPWw8aqlvPLp7fTymg3o8mvqJPMMblTyWXJY8wa+TPGMikzyu1508uFm4PCBVqTxEgZQ8bqFwPKXYVjw9PVU8QUlCPDG7Rjz/ODo88B0vPPBnKjxNjC88t4YsPM3vKjy+FiI8JdsdPG7oIDzokxo8jqQcPAfpLTx6cUM8O1s7PP4aNzyj8z88eMdIPJVYYjwFDHE8Pbd6PFrMdjxvMHg89waIPEm4fTwwE208mHo9PGk0JzwZZTQ8lIQ5PLqKLDyhwDU8HCM/PN2dOTyetDs8ehJIPNMzaTwzvpg8hn/APMTt8TyVPxo9RSt1PT7czz3AwvI9srQNPqsmGj5KAiM+McMdPixnJT5GWSQ+NVYdPtTiID4ihio+qP0ePnfgJD48eiI+n48dPhccGj6eqv49GtSoPa/VAT6r3SY+cE4cPiK0CT5eA8o9pEyIPVPMtDwLRGE85+cSPLI+6jtYeuc71PjuO4X8DTyuVSU8dAYZPBICMTzNzUY8Zd5HPN6ESDyGzk48QHJPPLjkXTwuDlo8UshMPG2rVzyHToA8EWmgPM4IwDzJolk92i4EPmd8Kj50OiQ+LYEkPhONPT7SVTM+aOsrPiPfGD5V+Ro+O/4hPhwsPz5XrU4+X0UsPj43Lz42EC8+34hAPuhOLT7wgy8+Z+40Pi7RIT7ExBI+hKQmPoAiIj71mCI+uZgbPscPGD60pRw+QPwTPqdXEj4xeho+AhUUPkcxET5UthM+DCcqPhJiPz6MMTE+vAcSPhNPGj7qyjc+VncxPielLz7g3E4+duoxPhV7Oz7E/C0+xIUcPiODBD4ZvPQ9JXPyPQIP5D3BvO49m0H5PazQ7T0p3vI9WozsPbkT+j3qJ+09kJrYPZLu6j24Swc+XQQQPv+ZBj5VNwY+VyISPi1sBz6qxws+YeMdPoMbHD5jTBM+DYAbPlC6GD6HrxQ+52I8Ps7ePz67zjg+AasQPs9tDT56LhQ+ZaH/PTGzCD47ugg+ZwwhPgQIKj6rBxw+nZINPqZmET7iNSg+7AQXPofGEz5UFig+qv8kPreXED4AFAE+gDMKPufpEj72mR0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9SrEk6QLEOPC4NgTxSfUw83HFSPDDvjTxa0WQ8Dn0JPLHFTjzEjEQ8amc/PFIRXzxnbVI8tM9DPJg7GjxA5RA8+Q0oPDJmODxsBUg8xDxKPCx5Wzwh6208ZpdcPDU7VTzZ4lQ8R+ddPOZedTzo/nE8r+KAPDBNgTxxrYs8kbOGPHgcjDwdVoQ8DzeEPJanfzxjC248+v5/PNCIizxw04Q8W9mMPM9+hzyB4ok85X2YPFNlozxTmas8XMenPGTboTx2V5k8j+CFPDZXZDzV+Fk86vxEPCKRNDyuLS88c2U1PJS8PjwFSD48QmkxPO0eJzwY5i08RdElPD2xGDzlKBc84wEWPDAUEDxcsh48MRwhPIXeLDxHmjQ8b0tBPPmfSjy9f0M84AtIPK/xVTyfTmI8p1VgPFOpUjxBsFc88gc6PLmMITw5Mhk8wooePOFUHDwlYSI8ZcYyPFkGlzwhR7I82Rz9PFOHTT05a9E9lgnUPU8k5T2buB0+Z08wPhsIHT6l3xc+tu0bPnAbKT6EGyM+j9cZPj5TID7NuSU+DycbPlFcJD4sXyY+8cksPifxJD47ZiA+FOUgPqccIj5UnSM+Mo4iPjYDIT76nRM+mLcbPiJpHj67pxk+nhcnPot/KT5dKis+zGAsPhT8Bz67Ae49dql2PVa+jDxrohA8L+wCPHHJDjydUwY80OkOPPACLjzhFTw8vNw5PHUuOjyhukM8LmZQPBpubDwr5nE8zRF3PJGWdTyu7nw8e+KSPDeqnDw8X5M8OleuPMLcMz1otnw9jKJ4PVGtqj3C8Bw+1xqUPo3oDT4D1Mo9UEsQPm/gNj7YuUA+bBIjPv6KHz5BhxI+sq0OPh/bKz6rrzA+X14gPvJ/WD5MFkw+CWUePvA5Jj4K4S8+tLQVPuWYDz6MVRQ+IG4YPmbcFj73RB0+7ZgZPtOIED5pxBw+BxsVPtNMHT7Oe0E+G2ZHPkgiMD5a/SY+X4skPhM5FT4NQwk+gxIdPtYSKT5ZFCk+0jQjPki4HT6z6BI+m44KPlxFCj6UyAA+w1YBPu/cAD5bVAU+d70OPhimDj5QWAk+GYAEPjd7CT4i2BM+DxcaPuOSFT44hAo+cFgNPrKBBz6JZwY+DKgXPhxEHT75+hE+eTcMPn8dBD6qMxA+we8qPtdVJT4vdCw+MGQPPsX+ED4TdiM+9gEWPtE/Bj7Cxg0+fLMiPpZGMD5WaTE+k3odPiopIz5vniM+5/oYPph8Hz4APkA+a54nPvflBj63Jw0+FHUTPmjhRD6g+5E+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2qPnDuKObM71gP+Oyu1Ejy0uxg828Y+PLb8uDtaoBk8Iq89PNkgMTyMcCA8+klFPD54WDwaoy48XTVTPHN4azzozXs8jslzPOqbfjx5co48EXSTPMPZhjzYqYs8IWWMPNl8ijwLwo884r2UPKHLjTwsz5w8JiytPFYIujwHPcA8bTmbPOVhYjyE3lI8n2JMPNQ+SzzgJk48P4VAPMApNzw8LDY86R1IPLZkWTxHTD88MwEsPEBJJzx88Ck8kEIePCHgGzxImSA8p4YcPALFIjy5Sy48rhsvPH3HMDyK/iw8Btw7PDOfVjwfZ0Y8RABCPJQTQDzzWlU8H45nPO0ZijxxgcA8kTDZPF6oAD1I2TY96DR0PdYCnD2m6uI9ghvuPTVA/D2UQwI+vsvpPTdYMD7QOWI+paA9PiE9Kj6VITE+tQA2PnP8Kz5xpic+Ks4kPo9bHD4INCA+b/AVPs2UFj4HFhU+O0MbPmYFMz6/KCY+85YnPghdHD7W8xY+I4wXPomeEz62gyc+/tIoPk6QHT5oGBY+y8IdPs5+KT6+IiU+8zgoPjlhJz5/pik+Xt4rPpGmJT42zis+/AQiPqfWsT33qvU8Q2VaPOdrFDzy1Ak8qHYVPG3lGzzbPyM8K+IrPIANODwY6Es8xCpaPHoCWTwgeUk8Wc5JPKrFQjwiWDk8JHdQPFZobjzD/oo8L+OGPOA8gDxOkI08X3eCPGrOXDz1hn485PFwPRNM3zzBa2E8gvqQPOzbYz1xnMo9b0niPVBUBD4beQk+IRwMPs+bMD4sVzo+6z8pPldrKT63Xyw+6AEhPlWfJT7kPC0+fxwtPpXLKD5UOCI+I3UbPu6WFD4NFRs+MAsZPtS1GD68xxs+5IQOPjVCCj6/8iM+8YI8Ptd6IT4qWBE+tvcXPtLyFD42OB4+6ForPp/OMT4ani0+iVw1PvA7Ij6j6xU+9CcbPhllEz6ZIAM+fKUTPuC4IT48OyE+ZG4pPqZ5JD4BOSc+bpAiPusyLD4GEyw+JYAvPtfDIT755xY+NY8SPhGEHT6LCiE+ZQMpPp2lJz6y2CE+IC8bPsdqHz5hhU4+47tWPvCaIT5jsRQ+h6wLPmKIID5sHiU+LJ0SPlVsED5xWTU+jSI+PpdLUz5+BGA+0XZrPiuqNj57bSc+yQU3PnSaLD6IvzE+IyMtPuinGz5epyM+MpI8Pi++ST4WZ1I+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH83kI87BmANPBzSPjxWVEc8B1E6PLwbWjyw2oM8NGXwO0gmEDw77Ws8WfNkPD1VSzyBG2s80gpqPFjzKTx+5ms8r8qMPNZHhDzJgmM8Py5GPNCrNDwpBSc8JgskPKBYMjz9UEE8tr5MPMGFWTwR5E48X2dPPIheQTw4ODg8dEgiPCqrGTyxCh480XslPMQ+JTwaviQ8BKobPHDXODyankU8P3YkPKYRKzww70I8Ff5+PBweeDwmcaU8d/DpPG9eKT0PoZQ9FRitPeQpxz2uvBM+3ncXPkmAFj7mHSE+2cAoPqPjKj5YKzo+WXQ9PnJJMj4oIjY+Kqo6PlDIMD6x4yc+NL1TPqKWNT6a1yY+VHEcPkdxGD5W2xo+JPoiPrTvGz57FB8+lJoZPlPzFz7Cnxs+4T4YPosFIT6TtCA+2ZsaPjHuDj5Xmw8+W0kYPudtHD7ooBw+O90WPt09Jj5OySo+FBUpPo2rJz5wOCA+dSAfPgctIT6DfSI+tOsePiR+ID635yA+L5guPha6Kz6v0CU+ALYMPvDf3T3mFrA9sgFcPdqrZj2xaDI9+ImYPJK3RjwqcCU8zBEkPBp0EjxmFP87SGjvOwuhFDxMhjc86i9APOqoUjz1X3s8+O2PPFyQnDyriJk8IUacPNVIgDwhan08Mc9zPNE1bDw9r2o8AN4IPC/O+zu9cq883m+PPaX2xz2onFI9Y2NCPSPfwT0WYwI+QycGPuT1Ej7IExk+TFszPjA7KT4suTI+gflCPoykKD6R3yk+fC4jPgP3BD4hchM+LKIhPmb6ID4naxE+9hQPPjm9Qz68xVI+BhcuPkm7Gz6ebhw+2+8hPsONJz4XVSg+fBohPj+gKz50iCA+IDccPp4NGD52fR0+yicmPqKgMj7n2SM+NO09PnayRz7RiDs+33gmPiMhLz6xU0Q+C909PkIAKj4FTSI+QWw0PmEYLz7r0Ss+tBktPj01LT5O1CQ+714tPsD7Nz72NUA+4rMsPpMFKj5PmzQ+IZhCPi/hKj4+8yU+CTg6PkKKNT7Xqz4+7EguPqxXKT5q7Eo++WwwPpncOj54OTQ+gWckPt7vHT5TSiU+GPEwPjvcJj7nMiM+sMQ0PgJLMj4PezM+PBw6PsePOT61HSc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf75ekDqF/aU7ycbuOxKiJDzZivQ7ANAQPK3TNTzv47k7UQLSO3e5CTwZUiY8BvwEPHx7CDxiByY87ccEPEJpMjyqhEY8HUKVPETIDz3u9yM951w1PVtgpz1qP8w9Rw/KPRL4CD5W4Bc+gyErPvYjKD6xnkw+eO1MPnekLz4C0iY+1NEuPl5rNj439yQ+9LAnPsb/Kj7pQTU+Td4xPo5YMD6K3yk+7cEzPs/XIz7xago+tiJsPmKoQD4BEzE+UQg4PvVxNj4RXiU+m/gZPgt5GT6TMBs+3+snPrLuKD6O6Sg+7CMkPlJnMj5+8yA+ggAfPkONID5+zh4+rvUhPr5THj6Ddxs+yEsiPk6jJD57UhY+4fUUPveUFj7ZLCQ+UDgePiHJHD7ZAxo+8ckdPnS+Fz5cWxc+YqsYPlQwGz6SZxw+LHoZPmpnFD7bqxI+47suPuoUKz6RYhg+IhAIPnKjBj7R2Mo92L27PRTxvD2YhIQ97dnCPG4LQjzkHj08w15dPAOpbjyKY4E8qXuEPKvjijwddY88nw2QPBrgdTwEo2s8RTNdPLfJbzz4emo85dwCPEEDuTtdRP47BUi2PYJDJj45wiI+YRzePeATiT21wJM9Sj2aPQLt4D0z/gg+thnjPZAPDz5A+x0+W58XPkhRFj7zbCI+MmEMPluQFD66Uig+2BgmPg/AIT4FZBo+HcAsPq8cJT62Jy8+RWMlPpy3GT7eLSc+5sotPmYcPT6eOUE+C6dTPr4NQj4gpDI+jXIoPhLYOj5rSUE+hnw3PkMEOT4Ahy4+HHA4PlhJLj6YTTM+UTQ9PsUqMj7QICk+t3smPnNkKj6rpUM+Q75FPkR4QT4khzg+CAwtPhkyNj7FjDY+KG02PlBkOD7reDc+Cj8uPnQqMT4waDc+O9M3PuZEKj7ukiY+RRQwPlDFLT5H9DU+UmMzPpRzKj6Hwiw+OxghPmh+Iz4uxz0+6eQgPlZGJz6hNi4+o0QkPkvDID6d/hM+hFciPvxuOT6W0C8+085RPukoSj4qxyo+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AthJO7/U4TsmSjY8mNvRPA+teT3wqaQ9mzh+PYgBtz25heI9txrlPWmT9D3P5RA+T842PpWcQz789A0++wkkPqTuKD6ExRk+y1MyPqZARD5XETM+LKkjPhMjKT5LfC8+jX05PtMzOT6qex8+yX8RPpU8Jj7tJyI+S7B0PslYST63Ry4+b0QlPvBBJD6wiyM+2qAaPuCODT694xY+wR4bPqpTGz6GWBM+GU8ZPjktIj44iCk+e8MpPmDKKz4/GSw+CYczPjUKMj7mfCQ+3ogePr58Fj7qkQ8+jLUGPjn3ED61nxE+lJsbPqKeGD7WDhY+qF8oPm5bCz4nThY+h10ZPpu4DT5nKA4+BJ8VPtXZFz74MRg+7VUkPo5WIT5tLRI+tkcFPmd0DD6XBxM+TcsJPmHuCD6X1TQ+6ccjPvI4zj3j+Hs9uDAlPYdokTxwG388dRKAPAGcYzxTzV48rMRkPBlRdDwwhok8e7aBPKrbbDzLrV08BL0mPJSNJzwArlQ9YD0QPm2+Lz7P4TQ+pW4mPt7rGD7Y7xo+2YwCPnwFAD7BfQo+FgAHPrd9Fj4Hhgw+QrYWPoZSCj4bDQs+T7gRPi5nFz5pGRU+07klPi76Lz5h7Rs+CRUoPkRmKT7YcB4+dEsVPs+aJj7lyCE+OjgpPmPOOj5eWUA+kGZJPkiqST7sc0Q+BgAePrOEPT6qOmg+hf46Pn/QOD4Y1S0+jwgiPs22ND6+XjA+4v8wPgawNT63uzQ+R+ovPgXLMz4evzo+qawyPl6rOD7pwCo+GKEkPn71MD5SOyE+UYYsPvXZQj4GkzA+dC0vPruMMD6gaDQ+qpQ3PmZ4Lj76Wy8++9swPsb5Lj4Umj0+/D41PpekJT7QMzU+M/QsPkyuHT5R2ic+t30/Pq96Pz5EESw+s1BPPu9OTz6AxDI+/Xk7PkiFKT7gUC4+2L8/Pv9ORz4GgC8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+lcIY9zmToPbRLCD5J3tY9JVYQPsjWLz45yIQ91ZerPSx//z2DDfM9AYzqPc51AD6BgvA94pKaPWbH/T343jY+hR0/PjmdDz6PexU+0OAUPrPiBj5gswg+mMsMPnjtBj4gew4+11IVPpTGGD4vayE+f6AkPskcGz7mlCI+sPYRPtzUFD4tViA++D8kPugiHz6YNCA+hd0hPgKvHD4oTxw+GzAiPi2KKT7QShU+1XwPPvi+Fj5F3Co+p1omPmt0HD7K5hs+d+YPPvzyDT4ZrRU+qbMUPpEbED52jQc+bMITPhCVGj4lJBk+UlkbPlssFD4wTws+Lp8QPmI3Dj5g4A0+9lAFPv0ZJD7m4TY+128fPm9N+z0X2849TN/FPYNR0D34r0A9GS2rPBOfQTxXTV88P5tfPPb+bTwOKko8H2j5PIG82z0Rnx4+SaQhPi0SIj51NyA+3ggjPnEZJj7TUhs+UVchPocqHz4IzRc+yKMPPmatJz6etw4+Zs3pPWJ1AD4EvRM+euI4PshlLj4DjB8+iNMtPjHHIz5o8Ck+90AoPlTnKT65giI+/NkfPvonKj52RSo+1bIqPoOENz6oFD4+lQQ0PjVNRD5+3To+BvQdPhqqJj6tsyw+VgErPi1qIz5ZGik+T2E5Pq88RD7/ezM+W/oiPsvfKD59tUQ+4409PiATOz5Ywjg+V9k1PkSPRD79uT4+Vho0Put3Lj5TiiY+fj0uPgTLNT7zJxw+ml0yPrn4Lz6JQyY++s0wPoGRRD4dbFY+fg1WPmfjSz5ngzg+N7Q8Pg1kMj6wiDE+PJg3PriGOT7O5TU+1N44PqfXMz4ikjY+leRHPla0Oj6pOjM+tOkpPjeBJz4YZDw+KA1KPixuOD7SzDA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/myLWPA7KrT2AoyY+uQIEPtnHyT1ZKgc+M9INPtNzOD0lkuM9C7v3PZaCpT0b+bM9kRzYPdRJdD00kLM9kb4EPqXK9D3YU889MhHcPcVACz5fig4+gyoTPojJFj6n1TA+vWMhPvRAET5ZbRU+wl0KPiHkDD7m0hE+L5QUPj4YJD4pIik+OIMsPh/YKT446Rw+c0sePlGoHz51RhA+BiERPmQoGT4CVSE+aLoUPrC2DD7YlyU+AgkuPlqMFT4l2hI+RLwKPmW0Cj4Zzgo+ZWgRPk+1FT7RRxo+ARIcPknVHj5SwBs+CKUYPkk+GD7IwRA++Tr4PR283T37DKY9AwEwPRki/TxTorY9hOUaPgBiQz7Q4UU+YgslPqZPLT5zUB4+dqckPt5dIT6mjx4++LctPszNKT646Sk+QD8qPrL4Oj51txU+6EoAPuEtKz6jgDE+facvPtSIHD6JAAk+0zgSPhBpGj6U/C0+TVYSPi8jCT5OpQU+FTYBPqwqED7DGxg+iyUhPpL0Mj712S4+y2YnPhdpLT7rHSc+2bA0PvFBIz7f2Rk+jc4cPqRrDz7dfRc+6mgjPvbCIT5cQx4+reIVPuR5KD4+wyw+VPoiPr+0Jj6y1Ss+mToDPuHpEj6UzkI+5wxLPsofOT7O9jw+aWA+PuUrLT68ci4+kvs1PuwBMz5MnyE+rsIiPvdVPj6fij8+uc1EPpocPD7pqRc+nkEnPpmAMT6OYjI+95wtPqsnLD45LTQ+E0BvPu85Rj5XnCs+LFBDPlNmPD5T/DM+CcUqPrDbLj4LqDo+oHE9PgjdKT6vkic+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+RSf88QTm2PZdL9T0IMQw+xkvaPUg/9D3OPCM+t1evPTT8uT2hGss99gb8PYjs4z0v5+89lmMUPiHe9z0YNgE+rXAPPtoxDD5xpgk+1tUdPjarKD7fGR8+44waPoBHCD7/6Qo+JDsiPs1xID55AyY+o1oQPtYbCz6IOxU+OIMePirnIT5kgR4+oJ8fPplnGz5doSk+m5wkPkQnGj4bKRc+hh0cPjUJHj6XmS8+g5zmPao4dz3JnrY9/g3ZPdafBD5uiSs+wRIrPtjoIz6gNzQ+wvkiPoafHj5dOBM+uD00PjDiOj4pNDQ+qocmPgiGJz6X1jI+o8sxPitCRD7ZD0M+wNlCPh0UOD720yY+FcUgPlgJGz6hoSk+RTovPvVGHz6XrCA+MIAaPmecCz4/+f49tjkBPqSsHD6ppCo+8hQjPuftMj4VoU8+6RlAPhQhLj4D/yU+NiE0Pua2JD6mYxY+Vb0oPhARPj6eqlY+vttMPpSoPT4dcDs+FDAyPqYYMT60ETM+ZngKPt0FCT4Rxig+RacpPkedFD6qtxE+MyMZPkvAFD7ZYQ4+d00NPvDhBT4O+hU+fn0fPqVwNj7VuzM+qiU2PqERQD6LQSY+pUoqPoh7ND6g3y8+lu0yPjldLD7vsi8+UQNFPq5DOj6IgCo+UaEuPu3STz7EoE8+BNs9PvdjOD6JHi8+ZS84Pr+WMT4MGjA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+CliT0XD5s95EbVPadGzj02Uco96AgPPprWaz181a09FjHfPY3Uxz1CHKg9lFP8PcuZDz4/dLM9jbzdPbnK1D29nhE+j5oYPs9XGj5hVxY+NuQRPvY9Dz4Eaho+LH8YPqKmKj6Cnz4+A9YyPn5aND5DKyk+hu0RPmisBD6rCvs9NhUBPvYUBz73HgY+cisLPndqFD6JrSw+iMQZPp3BGj4ScSk+4ZAnPm+5Hz4EiBE+RpYRPpyQBz4wKQ8+icM3PvsQQj4OTCs+2pU5Pqb2LT72kis+8XMxPgsmGj5fSB8+V5cqPl/iIT68wh8+aU8aPm17nD1zPI89eJXwPWMzHz5zkA4+GAodPt7uPj6XnVA+sE9GPo7SOT7TFy8+WFEfPtHMID4KPiI+pxovPlxnPD6rqDM+WeQrPiUJPj7v7kc+n+A/PifRKz4dtiE+FkEZPvIdLj5SNi8+ur04PiKVMT7qoig+9JsXPhDJFj5jkhA+VsUaPpGMGz7OWgg+qBUIPlAVHD6ExRI+SNMGPs0wKD7QQUA+vy8xPhmEHz4Aix4+pq0sPt3cID43fDA+QpxMPqdwTD73QTE+9yUnPjZCLj6NCkE+k+k8PviqGT5uhwQ+R40VPtOGGT4wxgg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH83pds84piPPZLjmD1J/vo9nnH/PQj7Bz5OMgs+VzubPfkD3T0xh+I97YDAPTI+1z1hFx8+V56qPQy9uT3KHvU9l0UEPolHDD6+mv09BHcwPmmnIT5wjxk+K4cnPtJSXj5OVEA+wowuPlplGT4VtR4+7k0ZPvh8OT5NTz4+z+EcPkLXGz4EViI+S0MiPn+nJD753Bw+M1VBPhYgQT7nGRc+gt1GPrGrGD6vYxk+9rgzPlGcMj6L/iQ+x/oePrJyPD2jtIE8/i5/PeHkAT6M/z4+IXlKPic3Nj4xsjs+++Q6PqxNOz51ETM+FD4pPpKNOz5a0Tc+7ycvPtv/KT6lASg+YZ4oPpEIMz5ZlzU+UVwuPqCcIj7NXCU+XzVLPl4+OD4Hdx8+VI0gPvYTLj6stzI+uWArPvEVKz4y4x0+GYYkPkVyIz5BhSc+u9YTPlcaFD4I8ic+9nATPvadDD52dCE+NSkhPtmnHj448RM+uZwOPiicLj5GHjU+9P0vPsDMJD57yCM+s2IpPhjKHz5mICA+ksYaPoEbID5P0jA+O+AuPmPjIz5RwyA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8J8CD3thYQ9Z0L2PTuMIj7IAro9xzC0PVqB4z3pMHQ9PhuhPR0I4D316gg+SlrjPRgWAz7JwiU+D1kWPq7ZDD6Y9/49STUHPkxjGD6kC0M+vopEPtaCJz619is+8/QePnoEID73HSY+z6MePktkvj05bdU9X97uPYVzDj6UHDk+L5Y0PtleJz7v1S8+wNwoPv8COT75iEQ+GSwzPowZKT5Qxio+ZmocPvY8KT63Siw+lawxPhZjMj46wTA+ETUqPrIrMD7VSSs+ZAMyPvj2Mj4ZoCA+/fw0PkVzQT6X9EA+2DY6Pvl7QD71JDo+sUAhPm/KFD4gZCc+ZXYpPhNrKz6jQDo+y/8vPj4uLj4SakU+AJZLPi7BST6ytT0+4AlEPqBJST7FCUU+0cs8PnM/LT5pxiY+61tIPoNDSz71ZiY+ULwnPlw7KT7Ekys+oGY3PrQEMD6FsSc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/hqZTPVXyoT08rZE9pbOnPQ/7vz1zrMM95WUQPu9FEz75Rhs+Fn4iPkVYTD6fHyY+DFEfPg7hHT4lHiQ+3oojPjZpCD6zUhM+zRgnPl0yNj63nUc+3rUxPlpqJT4/IUI+vYVXPvWPOz4X5C0+/I4hPib3LT7hKyc+W3MrPu3YNj6Q7DQ+qb4zPj79MD7E/C8+0kY2PlX6MD4oyCk+aswaPtxJNT5VEzc+HtwxPr9rMz4CozM+GH0vPikoFz7dchE+M8wsPmLzOT5zIz4+vwQ9PosDKT7fmTQ+SOcuPmAYLz5ckSk+uM8vPtC1Mz4w2y8+2S86Po8MNj6N2y0+m5VKPvK/Rz5E3S0+HKExPvaTKD7ZVDc+u1QmPhgDPz4uQks+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH94sjE9ozCqPTHqDT78Cx0+0hdUPnWhgz6XiB8+tmUcPmA5Ij6GvBU+RxgoPgc6Kz5KYSU+PGQ/PhipOT6LkkY+GCExPqDYJD4wkyM+sXctPs3MIj5Obxo+AUgxPv8CLj6GMR8+SAwvPquhLj73LS8+dNAzPtqZIz5oniU+7rw0Pra4Qj4XlTQ+4AkhPv1HKT6Kvik+VmQjPk2AHz7QgCU+jEomPn7tLT5mpxw+kZERPm2NKz7oVEQ+rd46PuHZND7QTy0+p1YaPqswIT59bTk+wuo4PiU2Nz7AKzo+VQs7Pj0GNj5z/yw+JdkqPkpPMT7HfTA+K6tDPrNsRD7FzzY+3IUpPnybGz4hLTQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/9IIePY7dAj6zKS0+R1xbPrVGez6PVmQ+z5E8PsDMHj5jrhQ+susIPpczKT59g0E+0DlQPldNFj6jXCU+6UQ8PgK3MD4kmCg+LE87PhffPj6axyc+w7olPvMDJT6oJRw+e900PuFsKz785h0+YsI9Pt+qPD5kES0+zN0wPnQbND5+jSs+DkMePjZDCz7QCiQ+5E8+PplxQD46bkM+kBkyPnaqIj6+1zw+0lkxPjxyJj7N4C0+KzY9PuhXOD4bNSA+B84bPtopHz6VLhs+lNsnPsX6Kz7M0Tk+9W8+PrmPMT5Q4hs+1QcYPk8pJj4uDz8+mLA8PvAsQD7/ISk+be8XPn9SJD7MYS8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/4GKEPbtrBD4UhTg+J01KPkbYVz5G8WU+KShBPj0WIj5ynUU+vyUkPr0MCz4hLB8+VtMiPn8KMT5Gtgo+XdopPjrTNj6+VxA+w7caPiP4Gz5z6Sg+dbQqPkE5Jj4c9Sw+h0ArPqYMKj4mliU+UBUpPo6hKD4Azg4+5DEcPuE7Ij4/GxQ+sL4hPmFXPj5dEk4+7BA/PjnEPz6EIzg+qNAvPr5zMz6lJUM+6BJGPqQkMD4P/DM+DAJFPnkJIT5JUCA+qiYnPgqNIT7IsiQ+48cqPsWQJj41NTA+kMA8PiwHTj4VYh0+d0wjPsB9Lz468kk+MaMyPr91Ij7BlBc+FFAsPjyiNz4UATY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/wA1UPe9h5D3ylzA+weIvPoiDKD6wMD4+lJVoPgbkVD4mtVU+UNBSPo63Dj52yA0+4ioRPv/NID61tQw+TakmPpC8Fj7D+gU+nr8APlNxDT7jcgQ+z+L8PVM1Az4eDw8+hZgZPuuwKT6b0TM++/UnPpmuJT58/hk++PcCPuB7MD6rgDE+AH40PklzZT5YWFI+LDA+Pk9sMD61oSs+n10pPiBaJj64/B4+CyAkPtdiPj70Fk8+l7g8PhUXJT4bsiU+xwUlPsfDLT5dZjU+MilJPvIlOD4a4SU+mEEpPlt3Jz5ygxk+cUkxPucSPT6Wyi8+t2sjPvjPGD5p6R8+zacmPvAtCD4CwdA9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/uGwRPdRVGj653TM+gdE8PoChND4REig+2eF1PhNsdT7FeDQ+Zh0zPvSLMj5gG0M+7dNSPvF0Kz6sdSU+HT9MPj+XLD7utg0+MvcOPqd8ET5rQww+/5QSPvnTCD6O4AI+OEsGPuT9Jz5E8x0+j0IkPrJiKz5luTA+8ZMZPnV9Hj5X5FA+J3+APgxjaj6EiDg+Bd0qPrzbJD76ii4+dcY/PpWFNz6rDSs+oo4jPgxUID5x2i0+gRQzPoPOND7bfjA+2BY3Pgz+Lz7P1SM+RzkrPh6EPT7yYEI+01coPjqhTT4p0kE+Xdw0PkpFLj4jmCs+VHgpPtF7Gz6dDiA+P0EmPi6sOz7UkTY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2wwAz6mdB0+CbggPmNvLD6oxw8+f0pJPhjtZj7uNT0+OPAlPm/aMj4AKkc+BuetPugVfT5drxI+9WgWPlcNIT56Dxg+W20OPgWTDz55Xgc+++IYPiWDCz7JSgs+unkmPlImPD68NDc+FPI5PlLkHj5VCBw+Ap0XPstzFD5IEHw+Vwh8Pns7YT43ZDI+Dc0hPp+NBz4qdQc+VHETPmsYGD4CJBQ+o7YePrxUKj5ruRk+kZcYPtGLHz7sWR8+dd4sPnbwND418DM+LF9GPlSaPz6DjSA+JLo5PljXOj4c6iw+LVcvPj8WSz4RWyk+nnkkPnV2Kj6NAx8+CiQ5Pot7OT486iY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9vu4z3aTAg+VHQOPml2Lz501CQ+83hSPowYSD5XKyk+9ZgvPp+WHz7INjI+dzGEPqudjz5rWCY+d1sKPoRpBj5RJQA+9SvePY2s1D3YqeE9I+EAPvw6AT7NwBw+LWQwPjTdFD63Kg8+TYkBPvSG/T07CO09AenpPXSGIj5b8Dg+bTtNPpVGVT5Un08+169QPvfxTD74FCk+qBoZPm13Jz555Q4+KNcHPmuECD7NdgQ+zAQNPq4dDD4aYxA+ntgXPtUYHD46YS0+x7AwPqpoVD6jAzo+Mps8PmjJQz5Y7SU+jygrPic7NT7unjg+ZFo8PsD0Kj5ZWys+dwk8Pq5ULT6X/Bg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfxpC0T2YLQc+SwMGPqtJGT5IkDA+791APu+gOD73Oic+OccZPiWhHD4hsCs+iBxhPma5kD4EMVY+s4ANPhf0Hz7t1xY+e9ADPk048D14LO89EMrDPRpO0z0qmhg+c8UePtBzCT51bgQ+BnTlPXZmxD2EcOI9Ik1HPmfDWD7UWBg+3pUTPi6rZz7lzIE+8vNqPnvEaD5K+Vs+sXAkPgNuFz50Bw8+h04MPv+mGD4GABk+QkgjPnsqHj6ZJCE+hGwiPvVWGT5oKDA+Li0tPsvUIz4sqCc+7jomPm6pHz5WKyM+F9QWPptHDT5Yoxo+h3tNPooyUD5m9Eo+PE5DPg/mDT7JLBc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/xt1j3kDRQ+Zz0QPqkbBD7FxhM+Hw4aPmyxOD5ws14+NkE/Pt/4Oz4LeUc+nspBPpgxjD5FUIY+/vclPkgnIj4kcxY+HUrmPREoxj1MO+090FMdPkJKIj5w7B0+haoMPkpODT6HYwg+UGYMPpOEDT7kbSU+tbJ+PkNYcj4SJyA+ym0hPtK4OT7zlFk+nO9qPogeSD4Gayw+AXolPs8cMj4fpTM+paQSPqolEz4iWx8+XN8kPu5+LT4lUTA+5lwvPh8eOT66Xxo+fKcGPt8mGj5EOio+LQY1Pm6GRD7uOj8+p1QdPi58Hj58vTs+dU5QPqMHNT6W3U8+Cqc2PrBWPz6Pn3U+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6F57T039Qo+5p4SPp1IDT6tdws+yqUUPu94Ez5Mwio+cj8yPuzHOj7H4lc+1l9YPiOclj566Yc+M5Y6PoydID7DGiU+z2ocPkmMJT6JeiQ+YXcmPqoCBD6KDxI+0EoNPqyhEj5fvTQ+yeUWPnrzFT4iSiw+v5xtPu41Gj5hfRA+kJkbPhLqMT5n6lU+hmhRPjetPj46PjU+KL09PpYDNT7KCkA+Qx4bPvBYFD5HDyA+lVoXPrv5Ez4YTRs+2OEXPjikDD537Aw+0wYjPkWcLD6am0E+HF48Pp0kQj7PD0k+ea85PpChOj4dzzQ+CgmOPnvgiT6+uUA+W/ZCPqy+hD7uLoM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8C6zD32tQc+CVEnPiByIT64Nx0+pWQrPp69JT6G+iI+RtcwPuAhQj7aalE+rdJQPvIZTz5oGlU+8rtGPpOrET5jTBk+SNkYPll8GT44nRg+6g4gPuQxGj4CIAk+WRQOPoP0BT7xdSc+G6AQPvobuT1qicI9iVDuPV45Az7+IyQ+9WE7PrdmUz7UqGg+WYQ7PpvIMT6QVDg+KaAgPvU8IT59oDw+2IkiPvofDD5cqQg+ubMMPrDsDT6lUBw+TMMjPmB/Iz77QDU+U0xAPqOFKT6nyh8+OQMtPiT0az5tnnI+d2SEPr68Wz7BYHU+PYCwPtEulz74GU0+tF9gPu+GTj5S4lI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8Xc5U8ZOnyPf0aDz5dJyE+aoxPPlZKaj7lzzg+YOhHPvoXLj7MXSo+OUEcPlqlFj4rzjI+YXQkPrPmOz7kxJE+3odBPht1Ej6mAx0+QQ0XPpSBEz5IIyI+t404PkGHUD5tRWI+ReZIPhG0HT4ryAY+VQsEPro33D1RA7o9rgAXPlyoFj4dYB0+wFomPlIeOT6wJks+tk9YPuB+Nz7weDk+dT5LPgBbXT5wqDA+XiUGPhXMCT5TwBc+vTQXPl+cCj687R8+6aAwPknkOj7qdDk+FPopPpliOz6uUCs+a+xLPmkwiz5795A+ZdyDPqoslz51PMU+DO+RPsIRRT5ao0I+quqPPi/Tmj5NPC4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7rhIT4Q+Gk9/wr1PcZRMz50TjM+bRBRPoKMcz63ZTA+sSU1PikkLj56UR4+IdYjPsw4ET5EnSA+d48XPi1CaD4nP6c+9uATPjYWDD4sDg0+6gYKPrdtDz6lWgs+dO4zPuGgej6TklA+X2IQPmBSAz5UPQc+CCa0PfZ6rj1GNuA9k10JPp/sHj6nBCQ+RMMlPqJVMT6dTjw+/S4kPumLLT5MkUI+sMpMPuGdHT6cLgI+50ADPkzUCj6B6hI+phEZPqjFFD7wkCQ+cwQwPtjzID5uMjk+BCQoPr4bRT7gDkQ+ES41PlmyKD40GCw+RAMyPktZVT68jmk+aBhUPhy3TT51600+fxZWPu/NSj7vqzc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9NqED4pteY9DscoPn+QQT7F6WM+XLdzPs+MXz7exys+qF0fPhMoIz7TQyc+rYsePvl4Fj4I7hE+UloVPlBmVj5Kepo+dkxDPnRFHD4IrBU++KUnPvqiJj5pYB8+9zA6PkxWOD5W4gk+EO/WPYQC6D34wyY+OHkFPmU+Az5yNQc+5m8dPtu9Iz7pbyA+Ub4oPo8ZND6Oig0+QPUmPvoJbj5StYQ+Vp5cPhkQHT7/WAY+ZC72PWoa9D0MpQY+GrAZPvDPFD5UwyE+e4AxPuUxUD7T8zU+dvBYPt7PVD7ssUs+fU96PtZYPD6Kyy8+L60vPu3bND6RhDs+xBJbPrJBTj6Zm0M+rsEqPs8XKz61BFk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/6A9CPV0Uzjy+jbg9EP7xPQoC9T0iyDA+0MyJPiU+bj5XUxw+GLgPPritFj4zJRc+scUPPmGkDz5eKyA+30gdPmAfIT6KMbE+XQCJPll5GD7PMCQ+lK9HPopnOz7foSU+n1IaPqVvCD4OI/E9NRL8PRpLAz5VkFc+9b0lPuiqFj6sFRo+C9kdPlm2Kj7oLT4+nkIxPi3QTT6diVY++eMyPhaKBz5VzAc+eH0FPvE+CT5HOwI+UpLyPTx1+z07ixg+WlQaPh9dCT6VvBQ+y5AhPr2rQT4f7z0+4SNlPkX7Xj5O40c+wYtZPousNT7+FyU+XmAOPg3AUj4Kyz4+QTExPrbMJz7ruBU+O8E5Pm0pPD6AsiU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwo2kT2oTVc9xpcBPuqhAD71KCw+8txePrwhPD47MyI+/k4pPl/UFD6/lBE+tQ0PPiYuEj5T5g0+oGMWPokIEz5KTjI+qsQ9PqynMj4BKYo+lqeMPvIMIz4NHyA+aKEuPlYnLT7kDBg+M4kSPiFfDj7AiuY92oDZPaHp8T0Gegw+hLYuPjjXKD7CKCE+fGEiPldGMz58FzM+LQssPn8yNT6WLzA+EDsTPmiAAD5ixQM+hs4QPghHGD7S3xo+vgMVPt4iHz6Jsxo+cz0RPgkTGD4EsBQ+tSMnPq+RaD40Zmo+XoNSPof4ND7vQ10+D4NXPnNTAz4ekyQ+9RYdPhJWOj7juzg+9B06PmMoQz7TSf49xRIIPgsrMj6Kfiw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1r9+D3QxRc+tMJUPq3sSj5bGx8+SEcmPu0ZAT5tCuw9/FwMPp8w9j3U7A0+YIQRPmpxIz4yvBQ+zigcPqDACT6koDA+/ZdLPmqmMD4yQUM+w/F8PqkKST4b3ho+7EcKPi0jEz4JAhA+wWYJPq5NCD5ntuI9RFHTPck1zT06aOI93NoQPqqFMj6/jRQ+KhgXPjbGLz74ZEU+gpcnPlUoGj4GyBI+o7YLPmMuDT7x0g8+TkcOPpnoED6GZh8+Np0sPog3ND55eiw+XpswPsE3Jj71xUA+gPRzPjw5mz7qT38+jnFHPuGAKj7/eTQ+5GovPjpx+j3vMyE+2wQtPvM3KT6NGFU+lBA9PoTgIz48qA4+G4QqPpoQIj6vOCg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwsIDT5OYx4+/vMUPha5Gz4rkhg+iJARPoAnEj6Blxs+DoEePnUWFz4KKfw9tqgEPoUcGj5PlA8+6xgPPi98ED7XNu097DABPhR1HD4vliI/WqqNP1Nfaz7qKBo+b/wTPhW69D10YN49P2LKPYKN5D2Nw+w9CHwNPgt2DT4PVMk9VKUJPjVPND5dLxo+xQctPiFINj7MrC0+KBIpPuTqJD6jTCA+nwUcPmYZED7/5RY+HusRPqWnGD76TjM+kh1APoNVMz4B7Co+KWk1Pi3DPj4scJg+6TF8Psq6jj5BOJA+/lFDPiS2SD7twD8+P8chPtcnCj5iXgI+pxg2PsCndT7pfF8+zWU5PlKWDT7XuBg+9koxPogIRz4YXTI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6FM+zwd5w49chINPSDOID3wwDk9vNo5PeajZz01VYg9UxKPPb4UlT07nZc93VOKPajSWz3FkrM95TfJPR6Ewj002d49PX3sPXF//z1REt8+AG/7Pncg8z3PSvI9v+XtPcLLwD33Wek9+BELPuFKHD7FeRg+8OcJPskCAj7/TQg+kdwZPpMnGz624R0+WR4kPq5wPz6M/i4+3CEjPr6pKj7eyB8+ZZAVPjOXET7M/xA+7yIUPmw9Fj4iZis+kk05PnriHj5O1UM+O3xEPugPMz4AhY0+MyF9PipfRT49/kw+i8o7PsCngT4/WsY+s7BhPhCpBT4ZFwA+ClEPPhI2HT5udzA+NxIsPs38Dz65Vv49jcsYPtd+YD7Hc2s+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH820205XHoCOqAa7jqQYIA7ACp5O8KcxjvOPTk8YxmxO1MTuzsxlwo8rUAWPEE+4zvaC2w801eQPFldqDxoY/w8EBMqPQRjPD1nSBo9JUy4PE4bvDyIsyM9MrEyPfV0Nz2jjZE9kq+XPb3KmT0taaI9T0iwPWtPwD15jdY9f6PmPcG48j1lbgk+aioJPpebCz7fWxU+TvIaPkT4IT6MiQw+wBgDPjWz/D1XOvw9bOX6PZszBD57xBw+RTM4PmyaEj5ilE0+VuZGPg14Wj5hUoA+X0Y2PtDfGT5/VEA+w05BPlB8Jz55H1c+39mKPp6+JD67Dg8+QYAIPg83AT4iKQA+FjICPrVWCD4X8xI+sX4uPmz0Nz7ikDc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AZqgOcVVxjkQBOs6jmj9OhHCCDs1PYw7YfdXO0S2xTtYjnc7VQtWO0Hj3jt51UA8xdwtPPDcbzwZWls8A/N1PF6Kjzxnnrg8H0HNPKId7jxr0Rg9POY/PaWpWj0nEng9LZWIPbXdoD11VpE9jMGIPVGnjz3v6Z898dqwPbHLvD0RVOM9Od0HPl4cAT67AgI+/ZYtPpJ/Nj4hL0w+WnI5PlfMMj7M+gA+0tn0PSiBEj6oa5M+L23EPqT4Jj6YTRA+jzgDPtRgBD6yjQA+r4oFPjL0DT5/AR4+YP4tPvpGKT7nKic+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8M5kE6tdQ0Opa8Azux5IQ77q5bO1aYmztadgc8cro5OyRxZjvhV/g7qO5GPFQSOTwpIMk7kvPoOyCyLzxMwBw8AXFgPA/2ezw1zJw8Os7mPFeVBT1tIRw9xsdKPSOEbj2LX6Q9Lwe3PUxHlD0FJJ09obOLPUv04j0LpD0+xbEdPl6d1z36gdo97KfXPa+V3z0DxN097rDkPR/L9D2EEgI+JjwcPsO5Kz72u2Y+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH82PpA6CKuMOn3yczoWWDU68lPuOgW91Dutj+M7l9EJPIDKODxW8lc8OqPyO6A+CTzNjoA81YOMPKxNoTyRIuU87mfXPLhovTy+WtI85sHxPHbIEz2l2yo9AaR8PeSVmD3B5us9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8GeIzr4tvs68EBdO9XsTjs3V9w6FVBaOxJkrju2Org7AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/Ux6M51MejOQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAM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ADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9UpDQ9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/t/NzPYZGUj0aF0Y94E9NPcycVD1jvUQ9dQMwPYtDQD2eW1A9w8xvPRu0dD3GiXM9E4hGPYsGKz0oTDY9IpRHPeNkRD1q+0I9lWF7PWHkVz31mFI9dPlTPQkQPz14IDo93gVYPalQWj38MFY9j09TPS+7aT1x8lY9GT5XPehRaD2xOl49nYpFPSZEQj2lrlA95xhMPV2yUz1sZm0983pYPTVaPD3rIUA9wb1YPfqoXz3W/lI90hAhPfQZJT1ZDS49REI1Pea+RD1Og3A9xWdiPU8NQj3bXTI9ydscPWQNJT2J+DM9IO4vPcQ/Qj0Sl1M9pA9YPVSpaj2mhXE9JWRgPeaOQj1M5DM9grBIPSqAXT1NQFA9a+Y5PRqsVT3AbmQ9GE5zPZMLcD3HpVs9ZJ5TPTS0TT0FgD89q7ArPZUCMj0Fd049fWVXPdpxQj2QQh09AAQ5PeK+PD3LUDI9e1MsPSlqKT16riA9aJUsPXyaMD3etj49tzYzPTQkMz3g20k9tm5pPReGVD3dvz89+YFyPUaCbD34P3I9KAB4PeFkVT0MoS0900QvPdzMGD3vXBs9IM4fPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6aCoD0z8UY9WnQ6PbSiOj3syzs9ByI5PQFpQz0It0U9H2hbPXvKaj2Xd0k9h548PV5dPj1RSUA9Xfs7PY1GNT3V1y49ZOYsPRxMPD3kbj89eXpFPRJjUj1uYE09QYxKPVPRSz19clA9na9SPX7hTj0hdUg9Rp9DPR8NQj3amT09XtJAPRvpQD1oxUg9kHddPa3mPD1Hq0A9xR9PPVFRVz0u/2Q9SAZePRXjYT1GcV49HHE8PQUUFD2bkxk9e2M2PZ0jPD3Ixz09pWtLPWDzWz1ZMEs9RU4tPaVGID0S1SQ9Nm0yPQm2Nj23NUI9BjxQPbBxYT3KwWs99AllPbeRUT3TAEE91GU4PXGlST1xklE9TpVHPaMZOj0dJU89ial1PSvPcz32+2893/1QPQ2QRD07ED091Kw6PU0mMD1k3TY9wGFLPTH6Uj2eyEE9u1woPdTuPT2aQT89/6cxPZRuKD2fySY9qRclPXvDMD0mVTw9o8JNPbR2Oz0Tgzk9UVRKPX4nZD3Aw1E9WqVHPcmJcz1atWU9CGZhPYIMWD1aSUc90DgpPSwxKz1V0B89do8cPd90GT0gzSQ9PWctPdOjPz00G0Q9FwlPPULwXD0LBWM9iLRZPd+fNz3AmkU9QipjPbibTj1quig9YkEUPQ0sKD2aAzQ9nZs/PYdeNj0UDks9Py9DPdpsND2ENTg9JV0zPU7OMT0FMTw9BEM9PU0MUj0pDlc9qqdNPURDSD3gfks9mQJBPRE9Kz1kZEU9keZZPeQbYT1AUls9g1xYPenYYD1r21Y9YFlkPZwIWD3zQEc9QNBFPX3vTD0Dy1U9mkldPXj7bz3LP1c9fqtQPQEYRD12gFs9cr11PcJCTT3eQkI9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+MmWg9z8g8PcFhQz0j40k9izc+PY9IOz2ztz09Zfs8PZY1PD019z89tAdDPUUsRD2BLUY9dho7PST3Oj3fTT49E6NGPdYyVT2ZHVc9g0FTPWOfST3lkUQ9LFZJPe+8TD0mxE09U4tOPa01Qz03qz89TqZFPSVfUz1AalY9PNdSPZdHPz3XszI9r6JEPbNfSj1fljs9WWZEPUUyUz0Rik09u5xIPWHsRj1zGUc99+U8PUuLMj3+Gys9VV4xPelrQD0PyEU97IxBPXwcQT34mUY9n2FEPURuOD1EWzU9N40zPYvuNz0R50w9y2xjPWk+dz3zhW49etxJPQ5hOz0+pjE9biFCPXZUQj1mv0E9eVVAPYC5QD18uEA9ob83PdekYj0gwXE9t9VuPTirWD3/t089oXw/PYF7VD2dRU89npk7PbyJNj018zE9PnMxPcuoMD0iwiY9JWcwPb8SJz0rdzE9InI3Pbn/Sj2HL0k9qC9QPYVwWz3qrVI9V8lWPXv7Wz2W5l49NR1TPajfSj1+j0c9Fsg6PY90ND3ydi09uYE1PbPRMj3iKDU9SnUjPT/oGj03qxw9lnAtPUUJMz1BskQ9EItRPcaiXj0wNlk9JpxSPaxCUT3X9Ts9uWtBPe8oUD1WS0k9vWE7PdMgNz1sFT49uv1GPXC4Pz2f+jM9F5A3PZG3PT2jkEs9sJNZPbpYVD0wO0Q9sb5DPdknQT2zpEo9I4hRPeidST0Wo049KnVUPUC6Tz3xj0I9xR5KPQA0WT2/vE89YXZMPUxlSD3vj1c9LvVNPWBQVj388lk9CiVaPd9KWj0TP1k9ObZmPTEfdj07XF89SNBMPa5rSj2bjk09VtdePXYrbz2S+GM9rRJqPRN1Yz3GR2I9aoZgPdIAZD2MaXo96gFnPWqGSj3qYVg90u1UPa/uXj0P54E95iZjPbVsUz1jHFw9JAxZPafVTz1oHE49PghqPZR9ZD2WiWY9Cj1lPZ5vdD21s3M92kBqPWlEVT3wnTc95dUvPWO9Mz0ojkI9GbxMPQj2Lz3NxTY9DphJPeb0Uj3TNVQ9FAlXPaxYaD31Tlg9Y7I+PY/FNz3WzTA9/iM0PdZ/Sj3YLGo91SB3PRGxdz1VFXI9vZtePeGXVj3+0lY9xnFSPV5bUD1dHFE9jHdZPYzQVD3/vEc9dOJFPcr/Sj24hE09uaBfPV/Cdj25nok9iBiIPdBKdz2TTHM9K+JqPWKeTT2VGUM9f49UPYXyUz3l0Es9hG5KPZw8TD0I3Vo92CBaPUDGST1HRkI9ZoI5PUXdND0izkU9ttBWPYueOT027To9+K01PSGHJD2OKgc9wHsYPWN9KD1Mzjc9KYJxPYtdmD3JcSU+QwyLPkw9Rj472jQ+m0U7PiuEQj4NgT8+rsc5PmXBMj6fBEI+VelSPtfWUT6KtVM++A9bPkxOSj775Dk+8XZKPjlZKz7PXhY+d7gtPnwgTT6ycIU+N8V9PlAKMD7zZ08+QT5XPj1YLz4GEys+iGw7PiQJST7yqk4+pvJLPjNZOT4IU08+XoJBPmcCLD4daj0+Q0oFPjkAET6XxzQ+FHw1Ph9ONj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/xoaqPW1wTT1c5EY9TVw9PZXtNj110jU9RH40PX+LOz2TeDM9sHhDPUcHXj2qj1c9D3hUPWWkTz0pJ0U9Qno6PS7hNz0nRVA9AyNTPcRYTD2Lokc9TQxRPRMXaD0LI1w9rqc2PZ5PND22yTY9ohVLPWn1TD1g+j097F5BPbAWQj1ptjg9mSUrPc0gND3FPz89z7A5PW3vRj3oZ0c9NZM5PX9hOz0W2yg9CSYePUzvHj05NCI9x9orPc0CKz2+ljI9WAE7PQRNNT2aHSs95k8pPf4oNz3TQFM98xlKPS5kQT3AEj89aFpJPXqoUT3udjY9w14qPXitLz3m+UA9cQdHPXdNRj2H2UA9BdBAPSdrSz0mxFA9v5VSPf1FSD2wMUA9wuxPPdpwTj3hr0U9sKVEPdG9PD1vZzo9bsM8PTtsPD3I7Dc9F8cnPXylJT0zYSs9OxkuPa0dPT3daj89KYo+PcjuPz0yvko9mbxRPQH6ST38KEA9aeJCPduSUT2gRVI9SJRRPWYpUj3eSkk9Bc05PeLENT38ATA9v50oPfZrIj3Q4SY9zWIoPcrFMj3DiUc9siJOPbwiRD3JREE9JYlfPTf2az2gyVg9D+tQPXZCRT0UvEE9sLY6Pd6OMD1gyTQ9WIoyPdsyKz0reTA9iedBPeS+Tj04xV0919pWPbfoSz0QD089boxLPZatQz0XF1E9hbhePSMLYz282Vo91uFLPSzARj2+qks9z15YPeMUYz1ef2A9FlBSPZ/RUT0Hk2Y9FOBdPUpFSD2r/UU9IqRUPS+QXD0dJUY9iiBBPaUoQz0Hbkk9V0dUPauPXj3C9GE9rP1gPTU1aj2rUW89XfJyPU/yfz2Q14A9ajVzPU65ZT1ruGk9mERrPQorbz2ddXg9tlt0PUZwWD317GQ9TEF8PUbKbD35Ul89UE9vPTq1bT0I2Fk9gE1LPUYZUT1XPlI9nc5lPUPdbT1U0WM9MoxwPeYucz1B2nE92x1mPWqTTz3rbEY9Wdo7PW9ZOD38NTU9E8g9PckPPz1wVzw9Q4RAPRc6Vz3fWGE9t9VePbTbRT1uKzo90kowPRgqNz3Kiz09GhI/PauGQz0l6lM9lolYPQRRWj0q6189WIFhPXZLZz0oMlo9yYxCPRaKUj3uTVo9Q7dZPcOdUz1b1Us9dC9SPd25WT0P72Y9HExoPavubD0sfHM9qi13PQH+ez2+F3Y9omZxPWOVaD2CXFI9yT9YPZTqXz0uIlI9iuVPPVsLVj0M4lE94rVXPaVxZD0ZR1k9qtVNPSFuTD2Lr0Y9PFNCPTjwPj1eviI9r40PPejKCz03Wwk9BesOPReOFD2y7gk96i9MPcnvJj4ZAH8+p2GAPhLnXz4ni0o+ALxCPqtIQj5NHUQ+E0k/PjBQMD47yzw+zo5CPljtQD6PIkI+EXNCPuPVRT4Lx0I+YCE6Ph3dRT68GjM+laY7Phv/RT5tIlY+jVFqPtHRUz4ZKDM+eRVEPgjIST6aX0M+w7Q8Pn9vQT7JtUQ+4Ao9PtkNLD6umC4+tfFDPpcwQj7r+TI+sMc1PjWhFD7IMBs+f1QtPt0BKT5NXC4+UOM0PhzMRD7KwkE+z1o7PuQtQD6teUA+3BA9PuQZRT7Ksz0+Ms8xPterRz5MsFE+NLtJPncNOj5uBj0+VAY1Pi7qKD6J3TM+OgY+Ph7COj6dJT8+clRKPuRWTj57ODo+5GktPrT7Mj4vHSw+XVwqPjkrMT599kg+jw0wPs8qMT7r21Y+/f5NPhyqPj50nSM+f6I/PouxOj7R3y0+FE5CPiqLVz4+emk+dtlRPpDUQD4IbDw+f5xNPoWofT6QPoQ+oJ50PvSpQj5TPSk+Xu5JPnKCWz5nOE8+Hbo0Pp5ELD7Gyy8+Jwg1PgPUOT6DlSU+8JgiPqwsIz662yg+x+chPnGPLD7iAy8+I6olPjqBKD7KEjY+dxE5PsuwTj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf5prpT3V2009O0w0PZyGNj2DiUQ9jpg/PZ9NPz1l/Do9OZ8+PX03QT2i8Uo99u1PPXPOTz1XLkg9Ruw1PfiuMD07e0I9KVk+PepdNj09OTc9WPRFPXZsUD0j0Uo9lc9APVaHOD3hWTw930hSPX05Xz187Ek9ltQxPcfULz0Pnzk9vUQ2PaYDND01tCo9TO4tPexdJz0uiSs9GYwoPQwQJz0wiy89QX0qPY99JT2NUyY9t18jPfcFJT2kvyQ95D4jPYeIGj35ux09LvcjPRfkPz31IUo9fu02PTfGMT33+ik92iQwPbcDOT3F6jw9xyonPX5XNT3nbUE9HXVAPfWJQj0DET89KrtCPRXfYD2Mq2k9fZtfPfHoWT0R1lg9glNQPbWVSj2/f0Y9p8A7PevlNj29kjY9bJ84PeHiJD0BaRw9xkEnPQy/LD2TOSk938snPRinNT1u4UU9D1k4PWkLLj1Dvys90QgsPRocLz3BcTc9ufBFPbl1Rj0jnE09aXNQPVWjXz12kXA9yNlbPYS+RT0B2S89KakdPcAIHT2zVx0982soPV3DMT2cW0g9ezZIPSxqQj2pX0M9px1IPYN8Sz2uOEc9sVIzPfCSKT2IIyM9HdgpPYQ1Nz3i5iU9QjUoPZF4MT0jAy895kY0PTomSz3xYmQ9WIB0PXuZZj15Hl89rZdZPbBRTT1SIUc9JvRMPYFRXT3TvVw9gUpYPRsaRD0EJD09M5tQPdxmVj0Fil09hH9hPWFxXz16L2g9aRx0PRT1Yz1mc0w9EztJPQ/cST0d6UQ9B7E6PXXlRz0wxU09d2NYPSH0Vz3G0V099+NqPRwEcD1TDX09x6x3PVhseD3eXXg9zotsPULTWT0jUFI9DdJXPU4vUz1CXVg9BGNiPa8obz1AbGk9tNldPbvSdz0ji349K52EPcYihz1uoGk9usppPVMLXT0GrVw9RUFlPd7laD33FmA9CG5YPWlYYz1t7F49CWtWPRIWVD0MglM9ATZKPfR8QD0ENzs94C82PdTaPT0yTVA90S5OPcUzTT1I0mA9m6tkPUxOTj2lJDI92ME5PSGkPz12W0A9HJY/Pb3hQT3zLzQ9lKctPWZKOj0HEEQ9ZCJHPTn7ST247WA9g3pVPc7HTT1dT1E9vJhgPckQYT2dFV49B41YPdt3Xz1qUWU94wVwPQgGeT04k3o91IR3PUDWaT1/1mc9gmBgPSpYWz0mfmg9wk10PcNeez14ImI9ZFhPPai3UT3wIlw9qOpUPWp2XT1TOHE9JVBgPcU3UT16elE9+eFLPZ0RMz3P9wA986HMPA9dDz35plc9lFmEPfsZOT25ihk9DeIGPXwOHT0CwQs+sNBpPhxChD5FhmA+0lhCPnddRT5fnjs++hA9Pu4fPT5FUjM+f34/PsE9Nj5tLTE+Bg4zPgc1Nz4770E+1yQ7PuF/Nz5Z2D8+5OU+Ps99Nz5b/DY+H2g5PuhROT5w1TY++Ck7PjzbPz5OED0+cF05PlJLOz6h8Tw+XMA1PqppOD4aVjc+wmo2PmY5Nz4C1Tk+/JI7PuHLPj4jBh8+H/giPgTnLz7RQkM+nGBBPmctMT5hZC4+lZo8PscaOj5PQTU+1fMsPpMIPT7mYko+NPRHPijgKD7clSA+TBYkPrzuJj7T7iY+2P0hPvgcED5FYwY+UEIIPjnHED5stBw+rZgkPs6+Mz7+cUs+dnBIPkZQQD64Y0E+k6I7Pol2MT4txi0+ATRFPmXHNT5cUUI+6tNPPilOQz5uo0A+ZZszPraNSj4kSEk+HJU/PgGbIz5BmTQ+NFU+PqTIVj5iU2Q+i2JFPvvDOT5A0Vg+XKVjPv4XbT5FjEY+btJGPopgUz7mWFM+1aRAPgNrPD74czE+qQoyPlBgLj4/7yo+yLE3PnvSNT6dKSs+7JckPrPJKj7ypTI+os4tPsZzHT5OUSU+HiE3PlvgQj6dLkg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+YLBD7lDvM9L3FjPSPOMz2JHDY9JfY9PZU9Rj3oJUM97Es4PS9aRD1vxGI9NFNwPQenWj0Fw2A9Ek1iPa+XWj27ok49qOk8Pb5ZPT2QqlQ9mCxVPeymTD2TKTw9rfc9PT7SRj1aKls9FFZUPZqtTz1vXz09sMo0PdjKLD0e6C09CZwvPQL8Kz0oZiY9XO8bPVqAHj0ziSo9mzAwPbi6LD2wsTQ9gnk/PfugPD1sVjc9hcUoPUtZHz1uIiI9xWAtPRfVMD3Hxyg9qPcpPasCMz3GfjU9f2MfPSKXED1jixw93K4uPYY3QD3mMUM9nG5EPXvvOD0FSVA9zBxXPZHzUj3Psk899hNPPVM/UT2qbVk9YdpaPXH9Rz1BwzU92BMzPbgdMj1TgDM95YMuPZ1dJD0nkio9HzIvPaS4LT1jdyU9yTY2Pb46ND33yyk9aOogPRvdJD1ruzU9M7BDPQxtNT0dUSw9Uf8wPRM5MT26zzA9Oo9BPfETTT3Se009FKNTPS8UYz1D6mQ95vlVPeXCPT3PezQ9JQAyPTmNKj3Uhyg9ceArPbT/NT01QkE9FNhpPeusbj2R2Vs9OhlKPW9XQT2HWEQ9k+guPZS3JT07xyU9L8cmPbmKKz0yTjk9exE/PX4sPD0EuTY9Qqk1PQQMST26zmY9vr5zPWO1Zj2t9Gs9NhZ0PT1fYD11qkg9+4pAPWbVTT1tnlg9EXlEPdEIPz2PRUg9LktKPb0dWD3elWU93iFxPV7wdD18IXY9J15tPRHQaj17yFY9wohGPcqpQj3+40Q9Gss+PeylPD2w90A98KdSPT8yVj2F61k91CxrPbSzcz1BSmk9DFtlPWy9Vz38YlY9AmBUPeYYXT2ismg94M9kPZHgYD3dV2M9OGdoPZOMbz26f3U9DdZrPZ2tYj01DG89D0l7PQ9Zfz1igm89Ri9tPW07cz3sX2o9yelmPQdyZT0442E9CWdRPTRHRz3HEUc9in9JPfnwTT0E42I93C1ePQMaRj1RxjY9wtQ4PSwKOz1jOT897tJDPVUtUj2DSlA9Q7NSPRq3Wj3GG1U9SYRFPUhMRj3v3089daJVPdctQz3AcT09tZ03PfOIQT0+tU09UtVBPY1lRj2do0o9p4FWPUiIaz28hWk9iy1oPbYAZT1Ry1o9QqBXPXm6Uj3r41k9lqxfPWRPbj2deW49gZRoPTgGZD1ENns9kPp7PRbebj0YFFo9oM5kPc83YT3N1089fnc8PS+UNT2t7EQ99WpFPUNzST3Yy049etxJPTFmYz3F+ZM9+03APbG+5j1rsdc9iQGePWtLND1/JZ89+YEZPnZeUz5bYDM+4I3lPaNDrT0d9x0+Cc5RPk34Tz6VJUg+DaFJPmyBPT4aBTo+K6gzPruINz6z6T4+21hCPtXTPj5vmDc+KC8xPp5UPD4ITT8+Py4+PpUHMj5dbzI+qCg4PsoHQz7lZ0E+0ZtAPtC8Pz75Zjg+mO0+PpxkTD5KKTk+QBEuPqqAMT42oTw+B9EyPvG0Kj4UpjM+Eo0tPjtsLj7oXjo+M1M6PjJMMT70EDc+D/Y1PlG3Ij7hDCg+VjpGPnlFSz70ZTk+uTdWPjZ8Uj5S+Us+FEU2PgNhKT5TST0+0xhEPg+kPz7LZy8+46syPgmENT6ZsDE+S3o6PjFmNT4D0S4+sgA2PmGiPT6FCg4+8TMIPs2MHT4lLTc+SNQ1PhgoJz5/4DU+gKZAPrXDRD6ncDc+V+wxPh8zOj7oc0o+kItSPqQbPz6MA0g+69xIPjqSSj4REk0++8FHPgAESj7xZTQ+s6wwPmfyND4A0Vk+y5hcPmL7Pj7Gzj8+D2xDPlodPT7t6kE+nrxhPjREoD5eyZs+kBBdPg/rQT69Yj0+NPUtPhzOMD5RtTU+mWcqPrU/OT5Q8zI+cpAmPk19Hj4hQzE+AogzPgsFMD53Byw+nCkqPsgzNz7o1UM+HK9EPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8vt4Y9vhaEPbqHQj2T8T49SZBMPQpqSz2JB1g9kmdLPS5JTD2vw0k9Zy5PPSdpWD3hGl89gYJmPVItYj1caFE9h/07PZsyNz02ZkY9RWlBPZEpOD14Ujg9T+Y/PVp9Vj2Q1GI9+cVVPUSCPz0NzjE9iUopPeT0MT2FdCk9nFkmPeRhHD3cVhs9KckpPYvHOD2c+T49SKY2PViVOz1FFzo9wVI4Pf1ZOD0Uzjk98JkmPTJGJz2OBzA9GmUxPRZ3KT3fWy09oe4zPYQXLz02fCo9kDcqPW2pLD3rqSg9C1gpPZ8lNz07H1M973pbPfqIVT0JqUs9h4NbPXqoaz2WR3Q9tLtQPen3RD2YsTY9CohHPeBwRz212zg9148kPafYID11fh09oLoiPXspHz1pwSY9UqYvPYjfPD0Ldj49M34/PYMeOT3+oCU9wbQXPdwaID2B5CI9gKUvPcR1PT0CP0c9Gzg9PUd+Qz3YAkc9qNxHPUsTUD27LVM9ralhPeX3VT1Es1E9SbRQPW+mQz0p1zo9IQA9Pba5KT1rgiA997QoPX+QND3KtkE9S81ePauLgj11VWw9BrtOPaj9QD1aZ0E9/Bg1PXSdLj3haS09YCkwPXRKPD1orkY9kKJKPWksWD2KM009NsFDPVWWST38lG09TM6EPdgyej2BimA90X5SPZ2NTT3J/EI93O5EPZMOQD296Es9du5YPQTzUT3dRVA9kyBUPddBWz2zjms9BbxxPQdffz2n+3Y9pSt4PddSXT3xnlU9e1ZVPasRZz3OEV89jvxdPfKPXD2Xj1k9fb9cPVyRVT2lRU89/bFSPaE4Tj3Hr0s9yY5QPfjKWz00ml49Q/tePYDUaz0U/4I9fT6DPUvjbz3VrWw978JhPbzKZT0CDHA9kOt2PfSXbj0OGYc922OOPQahhz2YbIc9ympyPZ61ZT3EA2I9I/dRPb4ETj1UVVA9XJNMPU3jVj1Ws1Y9ZbpYPXhPUD3CK0w9uHVIPR4WOT17iTI9ymQ7PeAyPT3cCDw9JWA+PaG0UT3Polc9Nk1gPdzZZT1r7GQ9sj5jPRLtUT1Z3EI91RQ8PWWVND2EBzc94ys4PbMWOj1wO0I9ang8PWFmOj3YkFA9QW5aPTRNXT0SUWw9XNNqPW5HVz2YsE49JqVbPeNZXj1CDmY9moxkPRP7aT2VUm8916BwPYD5dz3QWXU9F8JwPcxuaT2B61U9b1E7PfW2PT2n8z49HaU8PX2OOz15VTI9F0syPdQiOj0jlj490247PZDdKj3qeHM9AToDPj0kZD7uRHE+phpuPkyiVz64jlM+7HNPPvzNPD65ejQ+Y0swPmRONj5dVTU+nEM6Pol9QT72rzI+alwyPmdQNj6OSik+h9wxPvR6Oz5yOks+aU1rPl2odj7rxlk+VA5BPiuRMT7zNS8+Iu01PhpeNz6S+TM+FXovPsnFJz7TGCs+VFcYPqAEKT7lky0+Lyg6PnWKVj6ou2I+DAdPPmzzZD6bDWg+oQhhPtv0OT6VRx4+Q34nPlWfKz4ruDQ+SeZFPhOBRT71hjs++603PqIYNj4cXxY+R9YfPkaeOT7o5Do+CYI4Pmivcz5tY1E+zhgtPjwtKD7O0CU+gPgmPp+VMz6cCz0+jv9APkxIUj4bXU4+xhtMPjp8Wj6mV0M+nVcyPvoLOj56vTw+T28EPo15GT7G0h4+oT4TPpA/FT7xzPU9TI0pPsfTUj50m0I+U5A6PvLuOz4xADs+yQVIPvWMSD7C7kw+KrVFPsN7RT42Fkg+GlU+PqEYRj7PSUs+3d9LPhFpST7gWUg+m1c3PubMOz7t0jk+31tBPhpIXz7Y8FA+3HBTPm8Oiz6xkL0+uxKWPpgxWj5Q00E+NKE3PiTnMz6qdjo+kR84PlhnLD5EEyg+VtYlPsXlJT584TU+alsxPucYHz53dBU+xisbPkHVHz51Ny4+zCkpPgeBLj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/3lm+PXTpjj0ERVo9XYc/PeZaRj0v4kE9ULM6Pa80RT3oNEQ9JRRCPTRDUj1gO1g9PzliPSPoWD2SxEk9l3s7PTyePT0XzDo9sJsyPQMxRT2XZU49Y9BSPeiXVD0h1zg9RhMsPY7iOT1QHj492ZI9PUPiNz2WzTQ90FhAPSKdLD2yZTM9IfY9PeX1Qj21NUg9VUlAPdqRKD3MfCg9XLwnPcg2IT2Izhw9hyIoPWaZOD26WzY9dEQpPQzDIT21nTs9YwNYPW+sNj2M7yA9AfQiPbqMJj0U2yg98rs2PXBfOz1xmEg9UutIPXU0Qz0aokI9Q5BTPQ4VXz2WL0w9BoIwPfu9JT2fvyQ9SowfPUdvJz0T+Tk9Nc04PUYGKD2jCSg9IdsZPRbFGD1FwBs9jT4jPehRLj2qQDo9Ehc+PXQMRD3uBD89H500PYodKz0cZy89WigtPaaCOD3FRkg98XM8PcQ2Qz1n/mI9ftlhPZUoYj3uVFg99VhIPRReOj065zE9XPUxPURVMD078TE9MDI3PW+gLj0AqzE9pv1EPTgBTj3Jo1U9TlJiPeLXYz1E40k9oU1HPfH+SD04tUg9Q64+PSsFNT0vFD89E35EPT7PRj2RTEY9wIRXPfrHYj1OdGU9aKtmPTzVaD2rmFk92JZcPXw/VD23T109rhNEPX9lKT3X5SQ9zt0lPfpWOD1nhE49lM5cPSA7WT0Ww2E99Vx8PSitgj1No389Rd+EPVHCgT0csGs9E/FbPW+7Wz1bP1s9UPxSPVAsWj0eWGE9PWJPPQfqUz1AEV89NiBfPS2xUz0rRko98PZRPVprXz004mI9/vNhPasQaT2e6Gs9EXVyPayCdD1O3Xo98+mAPfitez34m2U9/vxsPYWlcD0DOXY9etV0PdqlhD3Dv4c9nveDPckBgD1vwHA9TbNfPQzKWj3qTVQ9N0ZKPZeIUD3QFV497+pnPZPRZj1kQl09CDNaPdoZUT2MQTs9eDs1PR1zQj1/YEw9vj5VPQU/WD30oE09lhdFPUedRD3boE09l/tMPRAvTD0PAUg9SEg9PU2qOj0PVjo9uaY/PZKFRD0RQUc9iwtNPWQzSz17iEw907NSPdpnVD3Kklo9fj9kPanRYT2Qx2A9D75dPeN3Wj0cRFA9Gw1RPSmuWz0n3Wc9I+plPWJkWD3KSlg9putvPasrdD2Vrns9pRJ7PV1taz0XP1U9B0egPab8wD1pzzo9wsQzPVrTMj0V1jY97cImPSLwKT1dOi89EywwPbWuJz1RURs9wpIWPSMJJT13rFY9QNTFPVX0Ej6GdGw+IzV4Ph19Pz56xCY+ABIgPhJhHj6nGiI+M98tPqLYLT6AoC4+6/4tPgN/Mj5kUDk+lhg7Po1aRz5Byz0+bBtgPvy4hj6J8Is+yaB6PhW/XT4Dxzk+u+U8PoLTNT5ZSzA+tZQ0Pq4iMz44MSo+OXssPqAjMz5mv2Y+sStfPjzCTz64eYs+/ch1Pi2VjD67K4g+1p+APsZlTz49zUE+jE4vPrpxMj6d+z8+bmBPPvD0Xz6djVE+bAFCPpe5RD6hhz4+w+c8Pqy7RD4v3Ek+G7NFPoWYST7brEQ+mTY6PkmGMT4PoD8+y39BPkVcNj73ujw+B3A5PozVOz4eY0A+5dlBPgmGLD6x+Ek+vEBPPmyOPz5e20U+grJKPmpuOj7g4yU+DEoRPiYiFD4sSxg+olwJPo5yEz5IVyo+nUsfPmwBID7uICA+oGgfPr6UPT63nDo+NAM6Ps9sSz7hWUE+Ar81PmhrRz4BEGM+7StMPp58PT6x8S4+j0NJPhlTTj5n8kc+iYAnPpNmPT5quWE+5+w+PmmNOz7BnFI+d0Z6PiUUbT6FR08+ZSZOPiE4bz5P05M+OXGMPuz4Vz5kfDo+6pJiPihPZz4EZlU+LT87Pm2PLD7PbjE+/88zPnmlET6a/BI+AbotPk0MNj6LIS0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6T0wj0DzpI9i6GEPfmXRD0jqUM9HK89PSRKTj3FtV49sO5fPebHZj3wRFY9QEBCPXoaTz3RQ0k9tSg9PaqJQj2n31A94itQPfsJQz1vNEw9Rc4/PU+KND1t5DA9MgowPdJnKz3qBi09B+9DPe1gTD30IT89zkEwPc/JIj3nLhw9ZkI2PchrTD2TX0Q9LN4qPafPKj2eTCY9OR4mPeMBJj367CM9n8ApPb+dGD1afBw9srgePSyQNT3XD0M9RlRCPfrDID1Schg9c48fPUIKKD3uFCg9Q+onPQGwPz2EAEA9/lM8PRd3Qj1zPTY9TuIxPWdWLz14nCY9Xj4lPRr0KD1rKCk9eWcxPbDXOT3TQjE9seEsPQ82JT1EWyc9P5cXPa7hFj1xBBo9hcEZPSGIMz1zmkY9LSFNPU5bVD3GUFE9ecBKPczxSD218UU9c65GPVGZTD2b8UY9wUo+PTh9UD0hllc9/7tOPXvmSz3chlQ96lBUPQywRD2b8Cs9SkYxPWVnRj0cjFI9uKhWPfdETD15Uz497eFLPbolTD2grEs9iABPPangXD1Mclg9wPlJPeUSQz3qh0g9tJBKPV9GPT3hzTg9S+1KPdc/TT1Pb1g9VihuPVaOgj2mKo49mRp6Pc/aWj3j1VU9TEZOPR8BSz3Za0o92P1DPZM0Sj15cks9ad8/PUJTPj36+EE9RtVOPXQwcz1dY3o9fNtsPXfZgj2ZKoU90P+DPeWOcT1arVQ94IxEPcUcST1xu0g9ZUBFPRT2RD1wEEA9k9ZBPToKRj1+OVM9zm5WPUgXXD0BsWE9jzZaPbypbj3HdHU9tVlxPUN1bz3GtG494iR1PUnsaT1DfVo9HWBXPeTzVz3+Q1w9nd1iPR1TcT3rbnQ9irZyPfOpdT1AeWY9MvZRPZBUPD1YiUI9RiBIPdu6ST0GfE49gppYPUtQaT3Al2M9/SVkPYQfYT0rXlA9+eJEPY7WTz1i81Q9hJhbPQw7UT2KUUw9+qRbPejfXT3EO1g9eKJPPTr4SD0Y50g9PQ1MPci5ST0InDY9OhErPRsnMT17cTk9Bd5LPeCKWT3eKV49t5VRPVzsSD1zFFE9lEhSPR6kVj0InV09hiFYPWDqST3r2kM93L5QPVHLXj1cIlc9NZ1TPRI9Vz0qJVg9j99OPUYtUz1cvGU9Etd6PV3Tgj3GeHk9rEluPa7LXD2K9EI97IQ5PVjkPj3upDs9u7gwPcBAJz2v9S49SWcyPZacRD3lGz09T0snPVscIT3p3SI97TgkPdPqID1iZDk9NpvlPZMcaj6Upoc+RrduPgQkPj6tZy8+n9EnPtrVIT78dCE+0Y8iPpwYHz6tkCI+lvwpPkmLMT4bY0I+/Q9JPhWXbj6iA1Q+n1IvPnGHTj7PCWQ+QMhgPrs/dz7SVX8+Xc6FPikjjT5yXlk+um03Pvb1NT6iFTc+lx1CPpDfQD5vFS8+DQ8gPg4jIT7qWjg+gopTPnp2hz4Fl5I+GJSRPqbudD68RX0+rrJnPsvtMj4T2Fo+nlNaPhGqUz4XhWE+KcNiPkiOUD6CiEE+3XYtPq4lPT6aJDU+9wk2PjapTT5j33I+QlR3Puhsfz59Hoc+SG+LPnAvhj5oyDs+6L5DPio1Qz6nbDg+ihE/PkBQTT4maEQ+1yUuPnM+VD7hOHI+kFFlPrxLSz4iR0k+NHRFPjNVOD5IVRg+XQsKPsGyHT4pZjk+uos4PmzkKj7CZx8+WM4fPkw+ID7Hcio+Rik6PtXvaz63gE8+U1ErPsdpGD5kDSE+QMSDPtcIXD7dh0o+sgE+PoNZUz41ZFU+/mFMPoBEPz7f6kE+Mw89PnqwND7RWjQ+uiE5PvmTPT7LDjg+ChM7Ph6ZWD4hAlo+h/5XPh7SVj4lNlw+bjdIPuQEWj7C114+VFByPgsCfz7Q8Vg+x/JJPu9nTD6LMC0++WYjPqKDJj7DozE+EmY0PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8tMb49xGmHPQOjaD3D+j89tTJLPXhiTD2oY1M9jzJOPc1xWz1Y9Fw99w9VPT9cRj2+okc9Mps9PWLUQj2dwkk94exQPRvoRD0N5Tk96Is2PVtGQD2FtzM9pIU1PbHfSj2so009q6w8Pa4tNj0gsC496WQqPSHJNj1ZMj89LyU4PcwZOT2YVjY9/j0wPeL2Kj3fDEM9YfoyPZl9Jz1OAyc9BfYoPWK+GD1VBhg9zc0sPdAANz1YokI9ktk8PQTDNj1+ZBg9IRIcPU64MT3W9DQ9tnksPZgzKj0K0Sk9//InPd+KLD0cDCs9eBkTPYr7Gj2TfR49UfshPdKGGz0enhw9+Q4iPSCTJz2y0iw9dDs2PUGWOT2s4CY9ZCEVPZnBEj3ZHxo9Y8IfPeKKMT1H2EQ9CYBIPYOsSz1B/0s91gpTPZxUXD16Akw9XIQ7PWVNPj3o7TI9BoU2PfbnOj1qGUs9cxlBPY0YLj1pE049QWpZPa7IUj0YXkE9oIlDPdtLTj1QNlQ9nJZUPezDVD0HV0E9Ruw2PQAKRj0GU1U9El9pPY2TbT2czlw9ijVQPbLcOT3USTQ9eHtLPa36WT2TqV49dKFdPZpKWT2orUk9q5NWPSyxZD2c4mc9YZNcPXk4SD1ExEc9sPNNPUmeZD3MW2s94TJoPVtPYT0hgFk98jZVPf7MUD01Elw91v1ePdmObT0smHY9toZhPTfoXj0Qy3M9nPdvPdsLVD0UnkE9zMUyPfwSPT0jtkY9s/pCPeATRj3OzkU9Y8I7PWGgPT0ZxFA9mWRSPaFdWz3vpG89Ta1vPawVcT08Xn09ioNwPW3+Xj22ZWE9sbhZPdOSVz1E5189b9pZPR+VWT3SOWA9BgxzPdSqgT1JRHI9IWViPRewVT3vVlI9EF1SPRlAUT0zF1c9OztRPaZEVz3/9ls9iVplPeKNZD01LlM9kXJLPRI1Wj2QPmI9eb5nPemNaT2no3o9CFWAPavRdD05HWg9AABnPYGddz1h2Go9BE53PRCbYj2LUFE9c8RUPXvLQz2oGj09q31GPdCuSz0K7lM9nHlXPWTjWD0AF149IGFSPT2rQT0qOkM9E/pUPcUJXD2npWE9etZuPSs3aT0zQWQ9L6dZPYhMWj2IEVo9lV5UPTCUUT2qnlc9NUpYPbFFSz232k09XcVRPSeLUj0cUFQ9+zJFPaiyMD3Vyyw9Ag4mPddMKj1pYzM9dcsxPQBlKj1vOyo9GK81PXAKUD12mH09VapAPanFOD3nFzA9BfsxPX3pNz2I2zc9PD9bPTi7Cj6M+3Q+ONV5PoLOSj7Mwy0+6gUqPr8nHj4A0CU+VeErPj79LT79ViU+yskjPnKVLT7BYEU+BhBMPqn2Sj7QE14+2j5cPr0IQj6AnC0+hzZEPrCLij4kSZI+v62JPn85hj419nE+jO9LPlrjSz4hUEo+2hU4PnAlMT76Bjg+Y3w4PtL9Mj4Z7Dk+7MU4Pn5oRT5+kUk+8bFdPimlYz7uK1w+yJ5ZPsHPTD44ckw+oMJfPjQUVD7BGV8+9VxnPpc3cT7/BHQ+ET1JPtgpRj43Kj8+YrI0PjaeTj477n0+O+FyPngqbD4SwHM+gBtyPifycT4Adnc+wvZLPr6bQj6pxFA+EohVPgLMVz5rcVc+M6FfPoLjRT6Jm1Q+8rB3Pk7pfD7ppE4+7fg9PvMRQj4wZjQ+UmNIPgrdWT6eGFo+znRKPlasQz4lW0o+SJNHPn/SQT62GUI+0t49PrnWJz4qk1E+JDtMPrQQMT748xw+PaQnPvf2cT5UZ1s+SPFEPqu1ST5QEzk+cEc0Ps8lMj7z7EI+y5g/PlPVMz56Zj0+NfAzPi/GMj6Xgiw+g3szPsEXPT77KVk+hJZFPmfCPj53+jo+zE1IPjvYND5dVyY+kIBAPgLOQj49aDw+5oAuPrIUMD4MOS4+r904PoHCWj6xwVY+bIk2PgVaKD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/cT6zPdJKfz0iEUA93PZDPSvqRj0gqkI9so5APQ6iQz3/80s9o+9SPQELTD14QD09Np42PUmnMT1iaDY93ho3PY8RNj1J7Dk9wUFEPSnmQj1/01U977xVPQKiVD0WClU9/MU/PTARLj1PqDo9ck0vPRx6IT2HgDY92BlOPXvVOj3pGTI9oBpCPddERz2sEU49k1U7PeURMD0ZBCs9E/UsPSzlIj3+Ixw9rPQWPbDxPT2Bv0E98yI8PePaMz25QjA9HEAvPcX4Kz3QfS49CawsPYaaMz3p6zU9b5U5Pf8qPT0OtDI9fREfPf4tEj0SLBA9M40UPXTkJT2enB09qkMfPRpnLD29rT49+4hBPfGSQT138EA9y942PYE9Iz3FsSU9D7k0PZRcMj264TI9z607PTfDRj0AwE493ERVPWQXUD3WyTw9+icpPW6CJj2IeS89RdonPexdLz0oXjk9j3dOPZqyVT0os009+6RWPZ2TVD2lj089AvlAPc2CSD2y/0s9Wy5QPfOOQz3wpjw9B8RFPQUSUT1BylQ9belZPdViaD0njWc92y1ZPTi4WD1otVs9WdlYPRkdXj0Ml2I9S3JiPZcCZj0+nFA9wWhKPZiXXD1/4WQ92SJkPXh/XD12lFY9NfhlPXVEfD0iRn09Z+lgPR1QUT0US1U9HyVkPTNKZD1RoV89xEhePd+8Xz1W02s9YSZtPYF+WT3fR1c9ueVSPZrxTD2+0kQ9csFEPfQqVz1MjV49DcdKPaAMPj3NmEA9H6VAPejsOD16sEM9C4RnPUhXaD2cp3U9ldp2Pe8cdD0uFGs9FGNaPdLcTz3SZE89sNFVPSnfVj3Cu1I9r6FkPQcJZj2vOmw9LPFuPSTOej20UoI9ACdiPSiHTD3vVlg9taJbPfuCVj01DV49tBttPdDaYD04b2U9h4lsPY5ubD3wTXk9SAh9PXChaz2kFGg98i6DPX06iT1HSYw9cm6JPdaGiD2zwIU9GAaFPYN4gT3p+3k9H+dpPXlZbT02tWQ93apBPQiVOT3l3Dk97o0+PaxQUD1s+FE9kzNPPYAMXz1fx149IT5PPc2BQj0xpUI9nd9UPX63bz2hDX89O0t9PUKudj3dpW897zZePXcoUj0RpFE9wNlSPeAGUj3SFFA9HxdLPWZwTD195Uc9ybhFPTFbRj1xikI9O8o1Pe5eLz2XVyU93qIrPcW2Mz3cVz89eXpIPajnPT00MiY9fRg3PY26RD2ec0g9+F1EPTujOz3eI0A9oiE1PYb5Lj2ZEDo9vtZTPcCF1T2qGEQ+lxZWPlBmPT7PvS4+/+EpPlOdKT4/ZRs+cp4dPu0ILD51+y0+43UoPk4BJj48/Dg+y+NPPkd/Pz7txzM+HR9JPmC2Wj5dyWc+bFNYPuaPSj6E820++cl0PpIPgj57zoU+Bq1MPm+NSD5U11o+1LpePiusUj6WVz8++TQ/Pq2XLD6DzhY+rO0+PmQVSj5bkl0+YvdYPmBaWj5c8E8+9os8PlAHRj4do1c+1kVIPp+mTz6brVc+KM1TPmwLSz7vJ0o+VS1XPsXSWD7zqEs+hWJLPufvUz5hklg+rpppPoksgT4Dy38+10puPlM+XT6ApmU+QbBoPiiASD71NDo+IMNPPrvTXT7Pz1w+K29XPv6YWD4tl00+dVFHPjSVST4MRkw+3q1FPl/WSD743Tg+TW42PggzUj5N91s+4MZbPtMiPj5jhzI+8EQ3PuqLLj6uCzU+9y07PvJ5Oz5xMBs+qvAdPqNvTD4Ws0g+fuw1PrTNMj7CaDo+elpYPnxjST6czSc+GZQAPmIsCT7o7hc+aaQZPqSqJT4Ja0A+wBlQPmwpVD6o+UU+gEYlPiUZNT5rmjU+2Ig1PvZQOz6xbkI+DmhIPjOmQz676B0+psI0PkCGSj44AzM+3vsxPttTNj57dkA+yrU2PqAYST4gnVE+Y/RAPquwKj7iHyY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1XfwD3BY4o9enU+PanvQD1JsEA9Q/NEPcEZPz3sWkU9omdFPXTTUT0i/Vo99mJLPQ06Nz1nuzQ9RlE6PX35NT2vazI96K86PfgcUD1kskg9fj9DPcwlPz0EKj497J09PbapPz2yV0k9R91NPYiURj2IBEg9tONGPdxFVj2SoFI9KL5DPbqARj2gYj09U2c6PcOrMD1cZS49qfIxPaCPMz0yeyk93HQpPdiiMj0lpDk9EC41PWV9Mz2WZSg9FfYjPQDzJD0a1SY9DdEqPZNqNT1kOjk95k45PXegOj3tXz490fwnPedbFj20chQ9ussmPecEKD14SSY9o7YsPRkzND0RKDw95R9EPQq2UD0cT1U9ZVJePX7TUT1/WTg9i3E0Pf/iOD2Xqjw9CDpFPSzKQz0TQUI97xxJPW4dMT2GiCc9cl0qPaZFKj0rRyk9SYU1Pf+7ND0/wD09/zk/PTdgUj05D1w91kZaPYnuXj0/BVo9mbZZPSZyUD3oo0A9F9xKPcXOSD2OiUc9+WREPb6yVD2ccVM96D5VPa87aT09AHI9U3BwPZ4sbz3z2XE9k6NvPW24fT30X3U9neBWPe7YTT0rMEc9Ey1HPfZXVT1AqG89+9eJPYEAhz0lYH89aSBvPdiraT1Bk289v4FbPRlHQD3rVD89hztNPaHWSD0rG0o9bTlSPd+NVj32X1I97OJXPWmmTD3DsEA9AhNBPVJ5Qj0Ko0Y9iKBHPfErSz1rU1g99GFfPbHHQj206D89hohKPbhZRz3FzUA9WAY6PeKkQz0ell89MOhsPU6vXD3HyUE9axlJPRjBUD3+fGI9khtxPblrdj0hRHM9RhhdPW8CZT35L2Y9aixoPeWaYD3U3l49xZViPfJBUz2VnVs9GOpePTRIYD0x+109eC5tPQQteD1wnGY9EylnPUW6ZT0q8Wg9/DOCPU/ZhD2HX349NBN7PZKGjT1pIJU93gKaPZmHhj38B449KQiJPbsogz1UK4A9xYGAPei4hj247YM9yxd2PTnIXj3OSz49tJE7PRu5Sj1QGlQ9T0BHPUo+ST1Phks91jtHPXLXQz0/wEg9LxdWPadJVz3nK2c9j4NxPdNxaz2z2F09I75TPYfWQz044D49gv9EPQ1tSj2e+0s9MqVPPXsYRj1ncTE9dCk7PbNePD0Kfzg9SVsxPTFILj1FHDo98iJBPQKuRT38JUk9gNJOPY2qTj38O0g9t8kmPQ+2MT15Lz89hQY6PZ9yQD3321I9bCM7PXktIj3ZHRs9JwU1PRvxgz1HPy4+xdBePpBjPD7fdCk+9V0lPs2gKT7/zis+bUYaPqLKFT5cgR4+f/0kPmgWLD6UdS0+j+g7PvAZZT7gGWY+jcJPPuZyTT4b3Vo+it5fPjSIUD6HqUQ+lENGPnRtRT7Yg0c+kyVXPjS3Rj4mwU8+8+pMPncwVD711VE+OiJIPp/nRT7wYzo+DBtEPlktUz4d7Uw+o9BDPgatVT50DGo+MJdaPtDBRD7uVVc+cUJdPq0aUT6LvVo+ewxPPqKgPD45ZTU++X4zPgQYOz6PBEE+O78/PvREQz4UG00+iExBPomUTD5yyUQ+AIdOPh8UQj4qkVI+q7xzPgE7dz6yw00+utVHPluSYj7Sl1k+ZyNJPs/fPD4r1Dk+kjtIPjj2Sz7Fo0I+jWZNPvPTUz4mhlY+16dKPjSIQj5Ol08+BHhePtQiXD4pa0Y+/hw1PuIiOj5Clz4+DDk4PidVPT6gfUg+UZBLPnIyJz5WBCs+q0dEPqjyQD44BD4+BKg6PuWjSz4OUkU+U3wdPlOmDz5UYi0+3ecyPopwLz7few0+SogzPqFpRD4Nzjg+yRM6Ph0DMT6fYzY+MzoxPuUKIT46tUk+hzVYPteuQT7gQyU+pDIkPvUlMz7Loy8+Gh45PmwOOD6JJ0E+mWhOPmUoQz49ZDA+gpEwPgyYND42DS0+Z0QwPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+/ce09/U6bPW9ZOD1O10Q9EtxMPeEeWT2F1Fk9lQdFPWirQj1kjzc9Lcw3PXa+MT2/pDc9e7tIPd71Qz24JD49330yPUfyPT3rbzc9d8ApPUXmKD3SQz89HeRHPcHOQz0Tkkg91GJRPZ+ETD2oNE49W7xePedJZj2bIGc9TJFlPbWwXj0DHEI9+Oc0PSczNz3p3jc9hcMqPZNBNT27jz89dXUoPaB4Fj0YphY99FMfPeUnDz2jBQM9GdgMPb7LIj3MTCY9INUlPQeFND1WpU49hOY3Pcw5KT1t6CY9VmEhPUViHD1gjyU9/BovPbFdPT20R0I9DmVFPXDgRT1RZ0M9wAREPdPEQz3i2EA9io9CPYtTRj3b3Es91n41Pb+cPj2SuUQ9YvM1PT7sND1FPjc9xYhDPdKnQD17CyY9pNUnPYgaLj2EjzA9Z4c1PR2jUT2G5nc9C7N7PbOibz0D+0495hpAPTDRQD03wDQ9fQ0wPYatMj1IAjM9rhQuPYtXLz2cSTU96RBHPaW7RT0d90M9gLFJPcd6YD05X2Q9CH5gPYw2az3uxnA9XodyPSRnbD3ixW09/xtfPcn9Tj3EqE49i9FPPZP9Yj1Kfns9gOh3PUz+jD2mZn89SChyPWDYUD0aVkc92Eo6PfrBNT3Kczo9atk4PSUtRT1VG0o9fR0+PdjaQT0f9kI9FAA6PfY0OD2iOjA9ViorPYw7PD0yMkk9WaBBPTaCRz2FulQ9A6xWPYHFTz2EFEI98IQ6PSD8Qz0poUs9BINXPSZIWz3ERks9aQFCPYNART3/iUM9BHxAPWiNSD2mZFg9wyxkPbA1ZT1nW2A9mrJdPUsyYj0kZGE9g3xhPdFDVT151Uk97mxIPRz+RD3X3V89qlRwPZhibj2unnM9Fg55PeoXZD2oqHQ9f3t1PfXWfD0VXoE9HU6CPSWnhj0z8IM9FTyFPecrfT1X6nQ9fB11Pahdgz04BXg9jaZ2PRuJbD2zFH49U8eKPfb/iz3M5YQ9liJnPf6yaj2Lgmc9pwFbPWfZSD1Myk09+ehWPSOYUz2ThUc9wCxNPeZ6Uj3uQ1I9EOhVPQ40XD2idWE9HLdfPZUBPz2s6zg99ZsyPTOJPD1ewT49HSYtPRG+MT1hyy895XonPQgEHz3lJiE96gEtPbrCNj1dHjg9uU06PaJYPj0tYEc9cfNLPezSSj2Zp0s9dypQPaARSz0z3yk9sQ8kPYf6Lz2vMDY9rf80PZoOQT1cS0M9rkYtPShWGD1lEww9ad4bPaN+Kz0eBwQ+UHhqPpexPj4nxCI+DUsbPuzMGj7ckCU+8Y4nPvHoJD7r4SQ+uFIlPqLBNj7NUj0+Aw5PPnaaUD5tIoQ+q1d9Puh2Vz5RZlM+Zb9gPrOkZz7DDVE+EG84Pm2OET4bzig+6iM8PjujYj55poA+HKCKPn0BWT7SWT4+dN5APvSCQD4EdD0+EFg/Pv4ZPz7rnkA+29FFPt6PRz51Bk8+Vy9BPpCHQD5b6VA+pwJRPtcWUT43k0o+5NJbPmY6dT40ymo+gvVIPliWPD6qPjM++AkqPkHWPT4ziTk+mFBAPvfHTD4JnFc+7slNPntFMj7LWTc+M/I4PrIQRD7NPEE+N6U5Pp/IPT5ioko+4KVOPpKLPD7ETzg+4Y84Pj5MRD6TnkU+P4s6PlBDRD61ZE4+WsuBPjL8WD458D8+NscwPoxJND4M5zc+b+A4PgDXPD6MmUE+3CFGPmPMLj5pnzk+xw9CPlrVWT7muEA+AGE9PhDGIz4SvRw+1MYkPqCMIj4jMBg+OOMRPpO9AD6N0g4+1hkyPrEmNT4dSjw+XAYjPhkSID4Tgyg+hHNBPv7AUD48JEA+Ick1PgBGMz5mhSw+BaQhPuSrLz6GQTg+2rI4Pm1kKj7y6C0+ZDswPrEgOj4lk0U+3zxYPuM+TT62nSg+yNwYPutEHj4J4yI+rZ4VPjsaOD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/JWgcPlusvj23BEg9r7dPPc9+VD0weE897EBEPUcxNj0UkDs9R6Q7PaVgOj1SRTY9p/9DPbsHRz1DVzs9HkguPYkSKD39aDo9Sfc5PWbPMT3+hjI9ktRPPfd0Vj0YdkY9Tj9LPVl5VT22cFM9rD1SPcryTD0QlU49ynhYPYr6Tz2CmT89/Jw3PejIMj1i2Dk9vX89Pe28Oj3mhkk9L55QPeNcPj2YJiU9uqAgPa4fGz0QBhI98+0LPQuGGz0nNx097fYqPWrMPz2NcFA951c8PUIJKj16liQ97P8iPb62JT2pais9JFAvPZX1PD2rfUk9JgA6PdgQNz109Sw9KzYqPQrbNj0BZj49sI1GPbTAPD07+0w9EttMPaB/ND27iyw9jv41Pf9xID34byU9x1cuPQhhIj1b2ig9Abk0PR90RT0sfj89fpxQPU4YYz21vkU9GStRPeMQRD24djo9/kY8PWHMMj32Ais9xHU2PdH4Pz0DcDc94/g5PQRLMz0RpD09EihQPVozST2q+0U9DwNEPVbrYT3yaHc9mph4PVCLYT0MGVo9/81dPbz0UD3B7k89myZiPajsZD0vIGY9b2p7PdODgD0NP3s9UgtaPSzyXT2IFF49AA5PPcLvSj33fkg98O86PWIzMz0TjSk90WAyPQJMPT12iUE9i5JPPUmEVz06sFY9WidRPUyfOD1yxzU9Y00xPRJ4Mj3v0DM9YzVCPXwmSz03cU89UhdQPWF0Vj12UFI9mhJTPZguUD2AbkI9sxpMPSvhUT1YvkI9dWNGPUpqTz256089UoVSPU+AVj1oDVI9ZehpPZTrdj2QK209EJdpPfaGWz2PNls9NptlPWFOVj1z+lY9qHBWPbbHVT2/m2Y999doPVcTZD2ZH2c9G6Z3PZRZfD1ChoM9VvyCPVxrhz1Ak4I9506CPZXchD3anog9z8ZoPdvKaz1hPnM9DR96PcYOdj0QP3Q9KelvPSoIcT1QdW49+xOAPaAwfj2ZcXA9wMBmPVjDZj3ytVw9CvRmPTxzWz0s00Q9xbtMPU7BWD2gjU09BXhXPRL2Uz3q5FU90x5aPYmDXj3fE0k9xyE8PdikQz2UYEY9b9s3PdyKOD1MDj49Q2Y9PRt+MT0hnyw9VX8jPeVhIj120xs926EXPdi7IT1uODE9FsI1PTzONz0wxDM97h8yPfqHKz3ctys95641PTm2QD0VgDo92+8qPc7sLD1hQDE9UaEsPUelIT1kliE9EfMaPcbQ/zw+YtU8w5vcPMCTJD0MkkQ9md4APh52Yz7lUUQ+2qMcPpqOIj4J3iA+b7odPnbbID5RPi4+oNUqPm8VHD7t2R0+E3klPq3aWD4HfUs+5ghGPjnbXz6OUHE+3SJ5Pu8miD5K0Vo+qR0rPr7SLz6GQVM+vPaFPkdpcz4cSI4+uqqgPmrflz5/3mk+ObBVPtGAVz6k91k+4cpNPq80Qj6COkc+uylSPlO0Tz6fVU0+MOFFPv8LQT5lRVQ+JIx4PkiZcj4Q/HA+mnJdPlsbZT5DY34+2DJrPqfMTD6qgjo+KlE6PkgWOD4LLEE+bp5LPgCEQz7o0EA+355NPgdNPj6LvD8+q+o8PkK0Lz6JTjA+hAg0PtHARD7cFEo+p5gzPhWzPT63KUQ+ig9KPnUNRz6Sa08+3ApWPlm2SD4jCDk+URFjPnY/oT6fnok+bXyCPqQGXT6JgDc+6RU6PmKoPD64O0I+fBEsPjkxPT5oO0g+4Ew5PszIQz5FD0o+b9M1PriLMz4ckDI+3fs0PnFiQz6+BUI+zXQ4PobJIT6WHDQ+C8I+Pv7gNT5C/DU+gzkwPtbQIj6LuUY+f48+PlJuNz7TxTw+EQsvPiLLNj6OHC8+cnIzPg1RMT7c/zs+t/Q8PijAMT6ogCg+F/kzPlKCRz4aa2c+UPx2Pso2Pz45xyU+uCFDPr/4TT5BGDw+27InPrFwIz7T2Qw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4LJNz7hvtU9TkhIPYK3Lj2Z4Cs9yF02PVPyST1eqj09SMokPQTrIT2znSA9LJs1PaioQj2dNz092o4uPXaqKz08FiY9KiwnPce3MT0d7089ZXNPPaxtVT1WI1U9P2RWPXfPSj2BHkw90XBPPexgTj1Zbkk9ZHRFPSzfQz0vf0095mBLPbrDMT2Z9DI9Q/pHPQF6TT3EyWE9/VFhPRFxQz0LLi490lkdPeWoEz1ung09s2kQPT6+HT3B0yU9PkQsPWqXNz2CATc9u5MrPYxGHT3eYRs9Ye8qPY9PLD3rXSw9baw0PUmTOj2WAz499tw/PeA3Mz1NRiY9bG4mPWktLD1M/j49hrFJPck4Sj1K2ks9KShHPba6QT11vjc99YIyPfM/MT2WHDA9OzIqPZmNKz2/qTY9uTY3PV3iSD2ZLlE9471IPXMTRj1Z6Us9FPFMPfBqVT04skY9smU5PV67Mj0uJyM9PwglPU8/Nz3J0TE92XwnPeiCKD0200A908ZZPZSDVD2nbVM97rJfPVPuZT0ymWM9j/NXPaviWz3B9lw9ALxDPSzeST1LHE89KadhPT/BXD0OdG09LCh7PTirbD2UinM93npvPSHMZT2ekl49YYlLPXx2Tj390109jztdPVevUz2K5js93b0vPUykMj0N3DQ9hLg6PS7nVD1k/2M9awtUPXLsRj2ldDw9djI1PVc9Nz3y2UI91u1RPWtqUD1Dl1I9IktRPSlcUD2AKlc9N59WPVecUj1lNFE9ELFjPW22cD3SFW09SfprPSu6XD2RdW09/tJgPda7YD29iGQ9BMdwPfXObT3p5XU9qpNlPQBJYj1TT2w9MURhPTRQRz3Hq089cPNcPfZvXT0R21w94sZePV96ZT2dHVg9LadUPbADfT3CTI89zRmQPR4ylj1SoYI9suhmPa2JWT1lTFY9TLdYPU5TYz0stoA9XlWDPfNwfT2zTno9QfZ6PeRyhD1AJYk99e+IPbJdgz1xq2s9ZbZaPUsLWz0gDV49X1BdPa6dYT3vY149MaBwPaZCdj09O389C9V0PRiobD0br2I9d59JPUcXST3GnUw9tqdAPTQsNT30x0A9TixYPQXCWj2Zy0w9Fzo7PehfLT1jASY92eMhPWkFKj13mzc9+IoxPTpJHz1pVCI9c7AhPVueKj0X5yw984cpPdAiMT0Jhy89yVEqPeTyND2hNEk9pQlSPY7+kj3EvoU97yofPcMlEj2Gaw49eOwPPSwQAj23Xec81gu7PBsgxjxu2wc9e3eDPS7I2T341FY+T/tAPkcyIj6iMig+SkckPt6KIj7vjSY+tuktPpb7JT6GfiU+R+ApPmp+LD6lFTw+7h87Pmy1NT72IUA+8WVOPv5FRD5e7kA+jgcuPsnjLz5ibko+JtROPqE5SD46DEM+GZxEPgcgTj5vl0E+5I44Pne2Rz43EVE+tDdPPuctWz7z3Fs+P9xcPnGmQD6Qgjg+SXs5PgfTPT6Ft0Y+t7s3Phi7Oz6gjUI+5rVRPshxUj69cWI+9WqVPgd4gD7V3l0+/stQPpdWcj4agpM+JoxpPi1keT5vRVg+X3lNPpxdTD4IRFE+d81KPhQMRT6TcEU+meJFPjpVSD5DUVE+WE9PPvL7VD73qEg+zac6Pjq0OT6OOSg+Jfc1PpLKMT54Wiw+yAYzPveLXT5mPGg+qKpoPhaHbD65wVc+XAZGPpD6Nz7ppTM+GqIrPhRkNz6TeEA+y7I9PkRxRj6BTz8+l3w5Pm1rLz5mQjg+iqI9PiXBMj6ydS0+HiYzPtsjQD6APjo+KAA/PmuvQT4Y4zk+mJI1Pn1RKj6cfiM+ZYktPjTpIj5rRjI+qjA3PkfKMT5sjVY+dVByPoU1WT6QtDk+xoEzPpvtMz7TjCo+RXsuPmPXLD6BMTU+4BtBPovLNz4+wR8+WX0qPqi/Tz7BvjY+Qm8wPgzMJD4B3iE+gjQUPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+ivRY++/B0PYIzST3670A9S2BCPeGORD1Vozk9PW4tPdcVLj0bfzM9d2xDPT8dTD23Dj09/JMmPfgzKT3w5Sw9IQ8uPbEqLD1ajTw9AoMyPQ9LRD1q7GA9L71LPe8XOz1GDDg9Ju05PQxiQj2iRVs9iDVhPeJ9XD3/nFw95LZaPciJTj09Dkw97yBNPSn3Sj3QhkM9rvg5PdnZLz1kzSg9ADgpPZunKD3qlio9JC8oPWthJT3o2i89cugvPQIxMj1XdS89gScrPafPHj2cciU9670yPRWkOz0GOyY99SomPabIKD1KwTA9C7w1PbDrKD1k8yA95rcpPatrLj26Vjc9+dpHPcQPTT1ay1E9hnBTPda2Tj2SREg9bws8PSnOLD08TC899Jw6PdAGPD0bkz49fCZAPaYoOD1GnDc9ldtBPcesQz0J1Uo9kC9YPTSWRz2jqD494sU/PQNEQj0UaEA9OCU+PZD7Nj3t0Dg9uYcxPdZ4OD3l+T49PUNEPc1qSj1jLks975lMPTnTUz2jb1E9m7tPPR2EST11u0g9zgFRPR7OTj28zWI91btpPXyNZz2ziWo9Hb5sPRzLaT0vRmU9OIhoPR1zZj3NHlY9MzFHPY0NST03MlM9+y9mPbMGZj1VVlo9o6hAPc5YPD1nWkc9tV1bPbl6XD0G01U9ZnpPPVJqSD01HDY9EJ48PTi0Rz1hXU09GohUPR8gVz0x6l09zshTPfcPUz3SglM9lQ1RPSSqSD2aOFQ9JTlYPZkYaD3y+nA9a2pvPQ+CdT1/BHI9ePl/PTw9dj23sWo9QTBkPXrdcT0zaHY9yslqPdzBVT1j+z89qW89PSmvQz2v6009bzlNPedWVj3o31A99t1YPfNKZD20nH09L6B+PaJHhj3NzYM9P4Z8Pck6hT1wHIM9PMBpPWz2Vz0mp0w9IsdxPYsVfj0Peo092wmQPYpeiD03gn89/zJzPXfXYj2E22w9VMV7PSeNYz0p2E49RZBLPUkZWz3OW149azBkPeCPZj0bCn49U2SDPXbSkz3nr409ZiSJPWNngT2lmXI9+K1aPZEjMD0naCg9LBAxPbx0OT2OJD89Qu5KPVNgRD2KNTI91vInPeMKIT3n2CE9YvAhPUEUGD1D3hk98PgiPRPVFz0yJhU9cwMcPdYfKD1aqSs9eqgqPeE3LD3zQj09JSxBPSBBPj0wLDc9jNJ8PWvymz1iIxg+l/+tPbHPKD1/OB49RfEdPWwJGj3TwAY9ZXTGPHB8mzxYPME80IUJPQ9g0z1q7QI+1a81PkltJz4QLy0+TiwuPiaqJj4PmyQ+2bwmPmQeKD7egzY+GwJCPpzUQj4mbzg+Z4A1PqhwKz5q7So+KF1CPso6Qz6IFi0+7/MqPlCzJj5Swjs+sg1XPutgND7OrEQ+aLlXPrqVUz7uDT8+9yc+Ph37Qj5gEVg+/N9XPtKuSj6MZFM+W4BqPkswXD5Fezg+bF86PuYoOT5yXDo+DbU/PoTNQD5780c+9PZFPt0RRz5a7Ek+10tSPgZRWT6Wqlo+YndGPmU6OD7fVVQ+JLpzPiOvWj7Fl24+tLxePsoAUT5Fgk4+IwBVPsKVTj6gdVI+GyROPusPSz4nilA+HH9BPop4Tj5ZrGU+arRUPhc/ZT5PqDY+rT0fPj7YHj7NrCI+d6AqPi/KKj41QUA+Z9tHPsmyUD68P0A+GaI5PhH9PD7hBDw+ok8jPiUHHz6G0x8+N/ApPiBiQj64GUY+r1QqPoFJJj6MAiM+JL8uPj5qOT4aNj4+fWUyPv5LOD58iDs+UUw1Pt87OD6VYjs+xuU2PlLVGD5JGA4+8aYZPiY4Iz7SUyA+J5QlPuvTJT52nRs+Z61jPvbhhj7E81M+MMApPtqkJT525SM+19IrPhN9Lz7nzjY+ziIkPr/1HD6+wRU+A78wPhQPMz6Ewyw+k7IkPqP4Hz6Rrxk+cMMZPnw1Hz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/CYdj1vRVo9RFRUPWUQVD1FPFE92nI+PRfoMj0m5jI9TME9PcP+Rz1F0Eg9XqVOPaR2Lj2qBB89FMYsPVYaKz0Myyk92oMyPcbaOz0CilI9dUFPPduaNz3p3Sk9eWEpPe9nOD1Qa0E9YhFXPfbaZT0ObWw9iYFmPTH5Vz3lP0A9+Uw5PfuTPD2lBjo9S7szPZ08Mz01gTU9YCtHPU3oRz173DA9DdkvPetYLj3ZcTE9R1U3PczDJj1REhs9qOUcPeovHz1W2R895XwjPZx7Hj31uCM9En4cPXmYJz0d4is9uX01PddpSD2fyEc90d87PYTKOz0myzw9XJk8PUDJQz30VlI9a+5EPUZfOD2H9jI9+QQzPbm4Nz19Yjw9BCk1PQdkLD03BCo9vAEwPXd0PT0+ozk9i9Y1PdbkRT31yV09GhxqPa8UVT3CjDI9L7NQPa/nYD1kVVA9+CFKPWP2Qz0b60k9i+FEPVmZPj3ESUw9y/JePd5vYj2D3FM9DCtSPTh/Pj0RPjw9lvJEPbMLSj1qmEg9YM9OPbmoYj2TsUo9w/FIPW5jTz08VFI9sfJjPcPHcD3mfmw9KbliPfRDWj1pb109PGVqPUNgaD0RSGw9Jq5uPXmtWD1ZuU89DppIPfgDQD2Bi0U9gS9aPVGSaj35NWE9xa5ZPXArUz1ptkw95TZBPdZvTD3sw1U9T9FePebcUj0cSUE9kAlHPWS/ST0apUE9Drg8PXCbST3Sb1A9d0pUPUJ7aT3+Mnw91AeDPY8zgD3wT3s9UQZ8PS1BdT1k53g9Oo1wPdH0bz0kXmk935t6PYH8Xz2RqkM9skdIPYpISz1a+FY9QlhIPV6QTD1Z/VQ9BZFoPQMEhD1uqIc9MPiMPYrZiz00lYo9Hrd4PVU+Wz3FJ1U9FD1DPTNOPz0y5kY9ofNhPatehj00c409wVOOPRpigj0JZog9kQZ+PSxiXz1cS1U9vOFXPSVIXz0mxVo9/ORfPUJpTz3yVVI9pkFbPb7BXD1GOmw9/o2BPVEtgT1FAoY9CyqCPWAUfD0zB3E9Y/xiPaXGUj3DvUw9TV1EPQfuPz26e0M9gDRDPcuiQz3h4ic9JJEVPQb8Ej22UxY9NloePdVNHT0NqRs9jUsRPZC6Ez1V7RU9FMYkPVmbMD0a3Ss9xFYpPZiILD38fi49Kq03PbqEKj0pBSU97J0iPTN2Jj1flig9pDQ1PZ4iMz0UkSw98y0iPRZ2Fj3rqQU9EqjxPAjOojwN3Yc8ytLMPIlQMz3qqgw+nIMqPgPVNj6NACk+pHgxPnJ5Kj65xyk+ZU8jPirmJT7B9jY+64k/Pr8iOj6qQDU+zr4xPmgzMT5Qwis+S74qPvmaNj7bSTk+wDQwPmSDLj5ITSw+CAAwPhvdQj74lzw+pKthPioFZz4Ry18+wXpNPoD4QD4T8E8+fStYPu28Oz5Z2To+jHVKPk+kVD5xxT4+3w5MPvLwSD7eUkA+Mcg9PutLQz4hl0s+c+FEPuUwTD6ImU8+Qz9HPtj7VT6VYk8+/HhGPheZRT4lPEI+wv5APl63Rz5V7ks+c9lQPp5iST5Ivz4+jCtAPtQ3TT4E7k4+OZBaPqEVZz7q0i0+svonPh0WPj7HAUg+0ZlEPlTrUT6QZHI+/FpRPmkQQT5bATc+4DIwPoPrLD763S0+Wc8zPu0UNT7XNUU+6lA1PpGsOT5DVVs+2X9gPvRGOz4ZBTM+gEEhPrhXKj7v+zY+HPkqPpTDLz7EOzg+Y/ZEPs85Nz7ZQD4+kX8zPgFQJT5l0SU+EIAkPkQ1KT5dkzY+8r81PgTiLz5+Qys+t0okPoZLGj62Rxs+LHAYPv4NIz4LEjQ+CtlqPiZkYD40KDw+38MQPmyvJz5bhzU++QgxPvtSLD7fFyo++qIsPu2mJj5kBho+xTEmPuxFMT4u1zE+9gIoPqtkIz7wXyY+4EkmPu9TJT6lsC0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+YCnw9J3o8PUiDVT1QH2A9lkhYPdPvQT3ebEI99Nw7PYyPPD2fRjw9x9g2PYIGOj2ToCQ9XHklPdCIMT3X6jA9teczPeX6NT3esDk9o9I1PXAWND1M4y898wI3PQs5PD0wAks9Co1OPQwEUz21UWI9hliBPZmgZj3so14979RKPTTWRT1LrUU9wDlOPbfLQj2irz89w1NDPSSrPz21fDo9axwvPex7Kj1YsB898yogPZlfJD1PVSA9gi0PPaDhFD12xBs9Pc0gPQCUKT3Z+So9M/8rPTpGMj1DHzI9+WMzPY6UTT2HlGw9vvxlPemrVT3hwUE9wXw9PQxTOD1jMzk9jXk7PWEoOT0Fp0E9psxFPfUTPz27iS89K0glPceCKD0uYig9QEcrPZI7LT3j5iw9cgI5Pcn6Vz0McWM96OJePTgtWz1mpUQ9x+4xPSsfQj3xBkA9jO88PWFQTz2nNlU96lF2PbmgVz0A+049XttCPYkSQj2BtUQ9zUpMPcmDRz37tzU9EV5EPTvmWT2D42w9irpqPffHWD2GHFY9PYFQPba4Uz05+l496MdhPQOLaD0f/Fw9kqRgPRnbdj1cbIU9n/6EPXl0hT1dbno9DIhqPflkZD0mTmw99tZaPczEVz2FKUg9L1BBPZ4bVz3tfF49do5oPV6XZz3gGl89z+JRPctFTD0jhk89FqZYPRIeXz2R3VU9wC9HPVF+Rz0SNU09T1RWPVZ6ZD14IF496MZsPUMadj0uLWU9yAtzPeSQfz2uQX49sXByPdVHZj0z1Wc9Q0xaPbuQSz3j1Eo96+FIPVZGQj0z0Ts9J85TPZ3JYT3rZGE9MplaPft8SD0uZ2I9csNzPZJVcD3K53w9KHGAPTR2dT235mU9A6NKPXJrNT1uUC89cBItPVnqLj15Czs9SCpEPfN3Uz0q8Fc990dVPV7SVz3MYmk9V4JsPUjWWT0haWQ9MkdWPf51VD3AT1A9YT5UPQbDUT1oQUY9C+VJPS+wRz2m1UU9xKNSPTq+cT2s1G09JzNhPXX1ZT1iomw9HHJvPYj+bz0d6HM9ecFrPQI0az0v2lw9s6BMPf6bMT01/xs9/W0QPaq3Dz2qnhQ9uicXPTIHGj1u3hQ9YbkYPfMeIT1mWB89JqQePaPZMj2XYEU9gsMwPS9vMD0blTA9+kEuPZChMz2Fzjk9mA4yPTwNNj0DOi89IGwsPYOrKT3CFS89nksvPcqwCD1iNc88yduqPOZMozyIz548Ss2oPL5l1Dx8g3g9Nbs6PvGxVj6CnjQ+3FkXPp2aGz7C9yE+dNUkPvEQHT5jqyA+DfUzPt0HQT6vATw+IEU9PhW7Oz7oyzo+iK85PhRsPT6h6DU+uus1PujtKT4YuR0+3yMsPiITOT7N3EY+UMZWPncvZj7W31o+OldSPoSIRD4tzDg+4qw+Pj7fJz5nJyQ+e9wkPvAWMT5SWEU+i8lVPv2RTj4AH0M+yb9FPn9WUz576FA+TW1FPlNOQz5/B0E+NRNTPve3bT6pAV8+2qVYPg9FTz5fr0c+475KPpswRj6dD1I+nY1UPqCPYz5yOVQ+lE9HPgnMST6A4Us+S6lBPsv7Sz4LdFE+7EQhPjd3MD4y3js+F+NJPj+YQj7b91I+uN5sPuoLUz7lsUc+NVtEPglaQj7xfEE+NDhJPrcJQz7k/jA+i5MwPhrsNz7FmUE+rgZNPjgWTj7H6Uc+SAhDPuO3MD66jys+kB4pPkduJj48MzY++jUvPn5fMz76rzc+Dh1APm1NKT7V3xg+i3cdPv2XIj70EC4+Yx02PvPqOj7Wgi4+kbsnPpRKLT4IrTQ+xQMgPuuvEz4HaSQ+lHl3PrbDmj6esWs+5JMxPkYVHz5cikI+EdtGPriLPD4+bjE+RygtPnoSLD6YAyw+wmcuPv0QOz6yaT8+PoBBPj81Lz5EmBQ+LS08PkiIST69VUE+fC8qPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/zy2pPY0MVT09Lls9AhlSPburRz1PCEg9YaxfPWH8Wz3xiUg96jdBPcuUOD3NGjc9bTZGPRfGSD26VUQ9nJpBPUiCMj2FfSw9mP0rPXgYMT3990M9jG9EPdINSj1U9l09xDJiPRn+Zj2ssl49dRRtPaLGiD0f9XI99kBqPUzHVT1S00Y9JwFDPWJ+YD1B20M93VwpPfBPLT2b6DI9VeUwPVtdKz2sfSE9rHYkPUQeID2iDRw9smMaPe2OFT1K2BE9u1ggPSPUIz0jszE9d7hNPUrDQj2TfD09kzNDPV7lPT1MxEU9BZhCPY1lPD2mSjo9KwI4PQnPPj0qsDQ9MqUvPe76OT3FhlA9btVBPRMeOT13kzE9caQ4PW/wOT0MqjI9CvU0PTfrOD2mdTk95yw+Pa9aUD2dJ3U94VRsPTeQSz0U0T89xu4+PYKUNT2MPD89059KPRd/TD0cEXE9Dvx/PT3biT12WGg9N+JYPdyRPT3W+zk9nSI+PRvDPD1KGTg9e6A/PUEEUz2IwmE9q9dRPcePUz12j2M9a11mPQBsYj0dtVw966pZPUhUYz0sqGA9Q+FZPQhNZT3kD4A97Jx4PQrDWT1EF2A9/xlwPc1cej0KQnk99cNhPeaLXD11s1w9n5hYPf4ZUj2xTlw9agRtPecGdj0u+mQ9JpdYPegyYT32J2c9VqZFPQXKRj2sPkU9TAlDPSwjRT3mfU09eUxaPWgvWj35jmE9O+pnPZgVhT04Nn49X5hlPamvcj2yDWA9W+pYPfGAUz0fhEg988VBPa46QT1tREc9ihhKPUblSj1rSlY9YQ9UPZhxXj10Xm49AN13PcPbeD2BLGA9s1VpPS4XeT11v3Q94pxkPU5cVj0tu0U9fEA1PUkJOT1s9Dg9a40+PTAFQj1d8UI9wUxHPZlQSD3asUM987hEPQl8Vz2/OFk9+O1aPayDUz0VPUI9E8Y5PcgtMj3YaDo9hjk7PYd3QT2mM1E9z2RYPTEeRD2L5UM9qJ5JPQaMXT1/7G09HOZ7PUUyej1/aIE9lwmBPRWHez0iNHU9KG9mPYhNVD1yoUc9vUFHPf8BPz3RpSA9aDcTPeJ8ED3+rRU9mWkcPexGHT19QBs9z7sbPSAEKz1j+zk9+qA5PWN5Oz1JUjw9A5c8PUjJOj2LtDo95S9EPSooRz2Q9z49V5wzPftGKT2FLyg9qlYoPfIVCT01H/w8pobYPHHByDyLYMk861rsPO0eBj23dAg9c8PBPDsvBT3zJCs9cTMGPmGUTj4pAC8+qZ0oPiUHID55/yQ+SuUxPiP5ND7Msic+W+koPgR0Kj4JxCc+7tc9Pu+ZND4FDis+G2otPs6EMz54Hzw+y7Y1PtwOMT4Jkzk+FKI2PljaOT4pF0s+5rZKPtJVPD5KoEQ+0sBPPgQ3TD59REU+FHg9Pup5Rj4N5Ts+aLA1PlQ/OT7pN00+jh9rPh5CUz5UHEQ+g/Y+PsXsTz5gnVI+S48+PiDjOT4p30M+U9RUPuKoTT63ykU+oNE9PpDpUz7MjlU+q+ZGPh3/Qj44SkQ+9KRKPgPQXj6GEk4+U15QPmkfUj6w+Gc+Nu9uPu2QTz55KkE++UU+PlolMz5pCz8+gthBPjPPMD4P+z8+9tFUPl8iYD6Y9E4+iYRCPg79Oz5eJDs+8e48PjJYPD6Pbk8+tT5cPpBcWz78r1A+IcNCPqfnWz6KK2I+X91CPmJXLz5Z8Cc+kzknPoBaOD46BS0+Z8Q5PiTBLj5yey4+6yIqPpH6MT5SxjE+6CgmPiypKT68ri8+VoY3PttNNj6Evx8+IEYlPpCKNz7o1C4+5LwrPgWqLz6tSC4++1U6PvVPNj7N4zg+NrlNPrwOKT5cDTU+tOM2PmbnLT4kRy4+w9olPtn/Ij6wmCQ+71MmPt+yMj5NXzk+pw49PqppOj69XSw+5V80Pj1ZOz4kWEI+FQtOPsayPT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfxfspj3/gFs94v41PSLKPj2HFFc9u65cPf8UUD1PbTw9ubo8PbUsQj2l5zs95J4zPWpANj2pHTo9H3s5PWmxOj0iZC49F4pFPd7ITT1AD109colRPTnGXj0nQmU9qyVdPbsZXT2DIGw96kWDPWG9ij11eoo9AattPQJVSj3ItEg9aMtGPVRnRD1v4Dk9dngxPc57OD2lqjs9HYxIPfXyPj3Tqh89cU8WPUzmHD0zayI9VIEgPZzEIT2wTR09Rm0ePW6PMD2dwjE9arc1PYjFOj2lRks9xBdePUMAXz03zk89HsU5Pff1Jz2DvzU9yYwyPUzzOD1SkjE9ugE1PZ8EOz0K5T499ztEPfT/RT3aKEY98hpPPZtcWz1O+lM9NqZMPXBNTD0MgTw9QDtGPV16Tj0/VF49paZpPYsxVz1iLkg9COBTPVMdWj33hVs9emBGPZjqRT2aQUo9+tpKPXkmRT2A+EI96dE1Pd4YMT36sTk9LH46PWKJQT3NakM9MHhLPbfeVD2vOlc9JdxmPdwoZD0p8WU9EuJnPZ0bbT3GCGQ9L9FPPZevUz3BqFk9XM5ZPRqYWT1Fu1w9C/VrPT47cT2NSXk9DzKBPfmEhT1n1249YQJbPUkeYD0pi189grxZPX+4VD2gwlE9CKVXPQkQcD0XLVc9MLVRPb+aUT1TpFE9Lp9XPaG6Xj1IBGw9WyxjPXJ5XT2RBWQ9p4NWPdJXYz0gsW49kMp7PTBagj0tmHc9brRjPQNLWT2/wEs9YwpOPdKDUz3pCVQ9iq1OPcvkRT1xRUo9R41PPcmZWD0OiVo93p5mPaPcYD0Un2s9UktxPYqmXT2lelw9H7ZnPfCkaT292mM9sQNUPUkwVT2k/2E90IVjPVjlXz05wU09pxQ7PcFXPz0Y50g9nHpJPdWkRT11UEI9tRBWPd6HYT3EHFY9ZRZJPWpfST0F8Uk95F5FPT7wRj2roT492FJPParBTD3XN0k9EEVTPfULTT1O3VA9NQhfPTEXaT0fVG49EyVwPQ5OfT23B4I9bxmGPWNNij3CXnc9jYxLPUACJz3trRc97aAfPRP1HT3p+ho92DkVPWPnGz2RoRY9LV0YPU4zHz0PHCM9Wu0nPaT9Hz2MCy894fg2PZh5ND3RyDc9T/M+PQhiVT00ZFM9EzM5PcElOj3ENzQ9LZgxPYAXKj1j2x49hhwzPQyEKD0Gpc888oirPGNisDzao7Q86dO3PAtxxzx/uM08x4bKPL2p1jz/ywc91j+OPUc9ND4I90U+klgiPgL2Hz7oHSE+Ej0lPo3IND5ucTQ+xpkvPuFXMT7vQyo+WcM5PkPrWj4euE4+61d6PgWIST5Abj0+28UsPpegND4Gd0I+Qow6PtKSLT7xwzs+qTpaPhhZUz4RZ10++xB1PgIWYz5821M+imNjPhT6ZD6UHEw+GExKPnfUOz41Mlg+n793Pivljj5Idmg+iO9SPqMeQj50AkM+Z0VBPlUfQD7puTg+T0VQPogESj7MikE+nuQ8Pj9WRj5UjWQ+TNxPPmblMT645zo+wH1BPvEGQD7s/Fw+tHFQPoQ0WT61yVM+P1FVPvkhVj4GRU8++VI6PggRSz6z7FM+3QNMPgvqSD4d+EI+vh1JPq3lWD5R+i8+7r44PuMbSz73gE4+afVaPh4pUD43gCk+k15BPjsyYD6jAF8+/21dPrH/cj6+sH8+riZnPjiWMj5EDj4+OB43PkLlND5OKk8+FQFEPt9mTj4DM2M+sMhdPi6yRT5ZOjU+GXpAPvw7PD5aqjk+8+83Pp3gNj4wfzI+nP4ePvKmCD70/Rs+zJAyPvPWMD5N+iA+5OoTPjRMOj6PokA+5mU2Pu+LMj7OKFM+TUlZPgVXMT5JRTA+nkYtPk+/KD7PhCo+o786PkB6Lj6jUBo+DzIjPhZjLT7NwS8+5WohPvF1MT7M9jk+x24oPiaiIj4ZDyA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/xdrE9QWRVPXqYQD1BNU09kyRIPShrPz3N9CA9SRkjPbyjOT3X1kU9AYpGPX2JST1Hpko9GSNHPSSUOz3UqjQ9/GAyPa0DUT3PJlY99DVWPbMaWz1Tvlk9L3RPPRlQVD1FlWA9301oPXWxdT0ahns9Vk1rPVN4ST2yHTM90ZQ2PV/8Oz092To9eAc4PcexPD3/FkE9hwFJPQDPWD1XE0w9TZc3PbnyHz2RSyc9is4zPbMSNj3DdzQ9LlwtPViXLz0rvDQ9ZK4uPRfSOD2uSUA97JlHPVfKUT1vfjw9wME1Pd0WNz35ajQ9WtstPRwUKT1B6iw97gE9PeuPRT02sEU9PoJFPZDBOD1APUc9bupgPW82XD00PVc9CydMPQHAQj1BfUI92m5HPbkIUz3U+lU9SfpNPRbHTD2AJEo94t1PPR4eUT0490M9ffdAPY4yOz1ZZD895WUxPWDLND2xbEI9s7xCPbKdNj3H2DI9lL9GPfyzPD2bcz898CdMPZBwVD0iv1g92FZYPXopaz2z0Ws9DOlrPfgQbz3FGHQ9UWxlPTbIYD1p+Vw9zslPPd/dRj1Mw0w9/RdqPbZgcD2henM9COdpPezmZj3QX2c9JaBfPST/aD3kQ2Q9MWlXPW8yVD21KV49aA5jPWvdVT1kn0c97CQ7PdIwOj2gQD89A+JJPVL0VT3XQGE9zD1pPSD+aj2SPWY9gAdjPXwZYD0lt3w9ANNxPVqAUz0atUM9uDg4PTR5RD1vSkg94ztCPbz+UT2DV1Y9eSRVPexkRj1WGVA9YXBKPSWLSD0mJlI9pZNVPf8fXT05+V89TIBdPZLmZT2sXmc9ycBrPYqSbD3qPG09IK5lPea1VD29dl49vAFpPaBKaT2YbVw9nDA9PTwCLT0dUyo9HAA+PUjyQj0vzEM9OjFQPUehZD3f7FA9ME9RPfURVT2KflY9iu5VPdTWVD3PylI9MJtgPe7oYz3POlY9fQdSPVG4Tj2tolQ9J+pOPfN0Xz2ebWs9ZvpWPVmiQT3o0kk9cSVTPdkDSD2T5EI9KuY+PYHZLz3M8yk9ugQzPcLtLT3xkSM9fc0kPe2OID0xICM9PFsnPc/GJD3S6yo93BgmPTSDIT1LeiY9TQYyPSzPJD0wXB89qL8nPa9TKz1rqSY9L8YnPUBQIj25iiY9PVIwPX/nMz3E2Ck9bc0TPXSgFT0SySo9unLbPJoLqDw8Ja88jo6rPEj7lzz+V548mY+1PI0b0TxjoeE8jTBnPQPhFj5aB0Y+jEwzPkEJJT4zhiw+ZeQuPufPMz4Z9jI+/lY5Pr0hKj7v6i0+K4YrPipkMD7laVM+PmdsPnv9Vz76Ai8+BMYyPvcGOz5ODks+SYJXPl84QD7s+zc+jOBlPhR3cj6wcVo+v3VHPqnSPj7WEUU+Jbs/PnN1ST5GaUA+2sI7PrbbOT4xJDY+WlZGPoXjYT6hz2E+ekZKPmFNPj4O9kE+8CA5PlciNT6UdkI+y2E9PnSoPj46WT4+qtVLPuvWRj46qUE+nR5JPgD7TD4h3kY+xudCPtAgPz4iADg+daZQPt91Wj5VU2c+tf9MPjRbOj7FBjo+H95BPoy1ND4dO0c+JAlOPqafRD7xGjk+88I6PhWOST7eB0E+VasuPiDBRT6LukA+2KM/PhujQD4tAzg++Cg2PodAPD43oS4+chszPr3YPD7xzFE+vGpMPip9OT5AWjc+f8U7Pp8NND6SgDE+ZHdIPpVRTT7siHg+86h5Psb7YT6AhkM+BBI3Ps5HMz4Jaz8+j0c7PgiOKj7sCDM+/j02PmmGGz4RfSQ+gD0wPkIlND6gOzU+LfglPly9HD5lvxo+79YzPqwQSz48v1M+EPI3PjnjNT7ZRy8+pMciPkrYJj4wFio+WiMqPgdeMD7Jmy0+Bjw4Plt8LT5GMRs+9LoZPsipJj7IkBk+CgELPhTxDT4+GAI+dlX4PQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH80Gwc+YnvgPfKYdT0uGkY948c1Pa1lJz2kNyc9zCIpPbe6MT0Hpj09RBFPPRZ1Sz3MvkM9n0NEPULQTD3ZGEk96MM8PVtHOT2T8FY92q5sPVusaD3wxVU9OdxLPdRpRj36Z109rW9rPYD6bT19GnU96edmPfpeOj3ENDg9kN5GPYImOj0pvkE9bldAPe09Pj1FZ0I9AA49PWMzQD04Z0E970JBPVjbRz16OEo9b2lCPcfERj3D6EU97fU3PYegTz2mkFg9DAw/PcTWPD3uCD49dRc5PUXyLT2L9SU9920wPS6RLj1xjiY9cNgiPR1NHT3EmSQ99801PYj8OT1xVTg9SQM7PTZAQj0gDkI9OUpJPWJqST30zDc9ctoxPTibWz1Zqm09updkPVeSTD0MbUI9KOFDPTBLQj1iikc9/pFRPTbCSD1T7kU9R9ZRPaCaUj1R9Eo9GkxMPde5PD2IPjY91pEsPREuLj1Igzs9yU0+Pes4SD1co0E9cRhGPQCXVz0ok1k9ndRcPVvcYT0nDoA98oV4PfjCbT0jF249vlZrPXWNWj39fFs9/3BbPb2WYz1zIWs9/ppnPRnSaD2PJWw9zaRePTVsRT0hcF49Rjx0PdqugD2W22I9NiVFPdOSPj1cDVI9PvpcPVJMTT3hxTo9cFg/PWbPSj19ikc93G1HPf7+Tz2iN2E9pfpfPRfcZz1haGo9pBRnPeTTaT02FV49/RxgPb9GUT0tWEI9EbU6Pc+dOT2LSkk9qY1BPf5ARj1GJmE90MJXPTRiTT1ZZzM9VYA2PXg6Pj2eBlE9JuNWPT7hYT07gWg9H4p8PdKQdT3pe3w9ZzyAPcz7eT3bNnc9rQdpPb6WXT2lqlw9Hu5oPVLMVz2EMEM9YBtDPaW0Sj1uWUQ97ZQ7PT7AOT2u0Uo9ZTNGPaWrQT1iwUo9WsxSPeb8Tz01/Fo919hgPWc7Xj0D8Vw9YQ5pPbDwdT07UW49NeZXPZgZVj0xjFs9UHBXPcgjQj1pvkQ9/qtGPaZLRD3BOTs9VVkyPYKdLj0KwS49EDA8PWInQD1hljw9zcItPQvhID33uyw9HxI6PfcgOD1zZi493K49PVA9KD2ZmxY9p3IcPYlUIz1NCCY94BsiPUaJIz2N1Bg9ra8cPTSmIT0p1CE9pT0YPUL4ET2FrwE9y2/vPBAd7jw7Oes8ObjmPAYKAz0COi49meg/Pcct/TzM3Jk8KDuQPGWrhDwH74A8QNz3PE/GkD1A0aE9ilmqPYLOBT45Rj0+ZLcwPhN3Iz6RJiU+aEYuPqGiNz7i2Ec+CUA9Png9Mz4M2C4+htwwPvTlLz7Piis+ciEtPncSIT43NSE+1345PsTjRD6ypkY+VYRPPpPHYj5Hf1s+rZZLPnR5QD5VLkE+wS5GPjwKQz4T2jk+BxBMPi5yTz6aYU8+ZNpPPo8AUD7wgj8+0+VLPiujUT5Lslk+xgFbPkH1Uj4fA08+5G1CPsDuQD5a1Ts+ROEzPtfoRz5q6j8+IOZCPrDnVD7UaE4+acFMPtK2Rz6HDUQ+rGk/PshmOT7CNDo+22Q7PhrcUD4I3kQ+VYBMPu+PVj6uAUM+svE2Ps5QOD5pLkU+a3VCPqvhQj7T7T0+8fYyPuELND5480M+f55EPo3zOT5EvUY+MCgzPhQbLz6FUDk+iLUxPgflLj6O+i0+Bhg2Ps19NT7uyTM+Mh8vPvD4Lz40tjA+bzQwPoeENj4h4zk+D/ZBPri9Pj4IjTU+i2JYPsgSSj6r10E+kmNIPrkYOj7Utz4+XpBMPsqbMz5N/Cw+/EUyPqfLMz6dFTU+l7MtPgB4Kj4Voyk+skEqPtl9KD55XjM+yQ9DPuUJUT5lQEY+7WREPpwtOD5dEC0+zfAoPtC8Kz5CAjQ+I4U4Pq8QNT6no0g+HX9APhenNT6shzk+bjYsPr9bJT7T7iE+FtgJPm6b+T2DvgY+eKgVPin+GD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/IKURPp0bGj5yb489CvFFPQy4OD1q9Cs9UdAoPcexKj2Cxjw9CfRAPTmuQj2m0T49Ps49Pfy7Vj0ATmM9RyZwPeeCVD2mjEk9Rh1XPVXGbz2o/mo9l71iPffCZD2Mr2U9BilfPRFgXD3kg2I9sHVbPU06Tz2e4kw9llRgPWmQVz3+KTk9KFM7PYSfOj0KBDk904s6Pe05Pj0t6EY9xWlBPb2NRj2eE1I9DgBMPReeSD0xxEA9PLdHPRe6Wz0StHE9VsJiPeX6Qj1x/TA9XLQsPcFZJT2D0ig9oRgvPSe8Oz3acjE98FoePX3SGT0f6CU9ry00PcP3QT2MNz89Wnc7PbHZPT3iFEo9EgpGPRp4Pj1brks9ESVWPXiOVD0G3mo9e8Z8PQaXZj2oPjs95xYwPacPNz0pQjk93axEPeBYSj19FVQ9maJaPWo/SD0OHkM99SY8PeeWPT2lMDQ9fIQ5PUWHQz12wj49qhVEPaCdTz1seVE9EVxPPSDqUz3dU1U91s1bPdToZD3W1WY9//9xPfRVfj3+W4I9CNV0PRAEaz1PE1o9g6NiPVNxXj37mWs9ccF3PYDRcT2Tc2Q9NUddPesCVz3/z1I9qSBiPR0BZD0xm109S8JJPbGxQj0wTTw9Elo8PdH2OT34nDc99uM0PeZRND2VZlI9d0FYPfcpWD0qi2091TCLPQ9/dT3m33g99hdoPbEESj2fiTw9BL0wPROCOz32qjQ92Cw4PVpRPz18UEA9P+pMPZcbUD33lEA9EEhCPU53RD3qTkI9mL09Pfu0QD1qLkw9v5FXPVKgYj1cZ2s9DopuPYU2fT2vVIA9P0t6PfVGcj1PAG09U11rPWAhZz2JH1s93QlTPR/PUD3y0jc9ygctPS0YMz2s0kU9aFhAPT0RNT3nPjc9cjE+PeMTPT0PkUM95yVRPRs9ZD1uJGc9WUJcPZHYaD2Wp2k9dHdfPdYKXj1zz1A9j5NJPbZnPj0QWEY9dn9RPQtrOD0IMy09jH83PaVyPT0kDEE9eOBLPYCCPT2vAjA90kUoPaUmKT34tjA93RUxPQS0Kz0J2yA93OcoPcDQNz1//S09Z9wmPSz5Qz2bYys9cQwaPbaGET1LuRM98EAXPb/KFT0F3A89/+wdPTFbHT0wLg89vO4KPeh+AT0FgfU8GEzlPNP10DyXXcY8iK3HPAw92jyr8Jk9djZCPvFKST4oS8Q9MgIwPaW4Jj27qFc9OgWQPXb42j0w0i8+ikFJPuMYMD5u6yE+cWgiPiwbIj5msSI+n3IXPhwaKD5mei8+b04/PkfoPT5UlCw+9EMlPp5dRD7lI1Y+j8FMPm6vOT4XZyo+6hkgPm1wMT4iSDU+FwZHPtbeYz4WW14+GA9NPjgGTz4S6k4+BDdQPqjKRj70/1U+GXhOPkq6UD5tCVM+esNRPmENaj539YU+jn9aPoF2Oj64x0s+1DtQPm2hTD46sEs+csxqPl49UD64dUo+DhZOPsMYQz5TKGs+B5xwPihQSj5ZlVg+fAtZPk2+WT4B1GY+wB05PuTpND7RMTk+BOQxPjHdRj750Ew+hOM6PiF6Qz55MEo+OANJPk+6Rz73okc+UYpBPm15Nz65c0I+0U8+PsXbMj54MjU+Q49FPufhRD6t+zI+1bglPtWsLz7+pTw+pYQ8Pg8hMz4G3CU+Ynk3Pqu/Xj6pn0Y+ARM+PhXNKz6lwCs+u90tPsZUMj7MjUs+BrFRPgVwST7NJys+j4shPueOOz4UpU8+lX1gPlSKZj7acVY+xTIzPtEsNT6ZAzc+svgyPsvkKD5JbCo+25hAPuyyPz71iTQ+Rw4tPhtVLT5gkS8+5I08PrntOT6sPjs+nw07PhowOD6+1S4+sqsqPhKBMz63my0+93EyPskALj4Phys+I+40PtA0Lz7lzCM+PPIgPk2/KT65+iw+ZUMzPvHDLz6oDy8+LHo3PqXXPD5mdzo+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfw8RmT2tps49nWKCPWNxRD1cFT89i1c8PQnyMz2jmUc9P7FGPWg0Qj3TmVA96zRXPVX7Xj3b8I49hcGQPf4mhD1kXVo9Pdt3PdpkgD1dbn49cgJpPYEmbT3LFGE9uy9NPftsPj2Epj89OdpdPWPmYD3JvFw9PaBXPfjISD1Bji89M7QxPRW4PD1KDUs9yG9JPXbzSD0W50k9Pb1LPb1vQz1mIk89cDhKPUWEMT34tS09v5RDPZueUT0aL1Y9XxRVPaS6Tz0+KUA9oA5BPUsYLz28dio9T84mPWc5KD0qAC09rHAqPVsAIz2xvyE9V2MwPerlRj1c5UA9ql84PX3jRD2wfEs9jpNNPSooUT0DSUo9DgxGPeZ/TT0PAlU93tBWPeCuWz08JUI9Xe4oPR3HMD0QBjs9oZpAPUYsYz3cSmU98ltrPVidXj2OM0s9WXlEPYI3QT1m8zM9M4EuPYwlOz0030491LpAPQrmQT1yO0Q9nj5NPZutUz37HVA99atiPTLYYj3/x2E9QOlpPREtbT3l5IM9rBdmPUl8ST2wzEU9by9KPVoFWj07GW89hJJ4PXG/gT37KYM983NwPZxNWD1K1lE91aZjPWW3Tj0b1jw9o209PexcPT0LMjQ9+hIkPaF9Gj3LYxs9pzklPRr9LD0agEk91KhxPfbWeD1znYA9pBKGPWWAgD07AG49PR9aPVpWRT3I8T492io9PWHiRj1iUEY9rdY8PU5sQj1eYD091M84PZ8aOD3Uzzs9rfQ5PRNDNz0CWkg9hPxLPdA4Sj2iDkw9YHhhPXDObz3DqX09shJsPbRVYj2n4GE9iUhmPS5AfD1X4X89sulmPcfxTj12wEs9MbpGPT4mTj2Xu1M9r1hDPT3kMz0BJzg9Jsc/PUuFOT0u+zg9swM+PZGGQz0KfEk9bVtNPdugVz3W41U9dVtQPXNIXT24T3Y929p+PUFagT0DmXo9475kPfNQST3T/Cs9hB8hPSvXHj3BaCc9aahAPZwvRj0ln0c9jPBLPVFDRj0RwkE9tXI3PcvtMT0Qxio9YrElPXp8Hz3vUxk9AoUhPbxjJj3HMyo9nO8dPRzhFz39dBs9T1gUPbKBCD1SSgc9tTQGPetgBD0P3v48g80APcdJQT1SuIU9gicnPWxKzzwkWcM8ZP+pPKNHqjxV2Ns8tkopPUru6j1wEAc+sOMwPq5paj4D8F4+t4AoPkuWHz4w8hY+UfofPuNIJz7xCjM+WhwrPi8yHT7QeRo+z/oZPi3CFj4Vuho+V5okPtEMJD4Ey0I+yxtEPvThRj5hMUU+lgQ0PnZ+Iz4TdF0+j2mAPgNZYz6nOz0+VrQ6Pjf8Hj5fKi0+6tc0PgRKQD4LMkE+FB9FPvwwUD4tWFs+VH1mPkuhdj5qFWI+4rRmPoPTXz6gylg+gdZXPqC5YD4rP4g+D3KGPkqxLT6EAjI+WG1GPl7OTD50HlA+MqdVPrPLTj5ESVA+sxg2Pj/LMD7egDM+WS5SPqZ5aT4TokU+L7pFPoqbSz4wYks+q79uPiMpSD6HCjo+SUc/PvMuMz4IeEE+4pBDPjKfPT7i+kE+CEk3Pgo8RT69ekM+S9JAPiUEOT5YDTk+LwNCPlUKQj5d5Tc+N045PnWDNz6XHzM+pQcsPv+5Ij5TizM+dxo9PkLdPz6/VT8+mkAwPl+gKz5R3jc+IAQzPsTlPj4h7Ug+hX82PvsfKT76KTw+nMo4PnQ8KD6TEy0+SuQoPuPZOD4ADTw+ddg4PseCLj6cuiY+aQE+Pp40Tz56fzY+2WMsPqH/JT5HCSI+GAwmPmykPT6KC14+rQ1yPooRRz5cfEU+6Vg7PqdlJD74Fy4+B3ouPpObND453SA+u1oXPsPRIz4eXDw+3eUuPtkGOz7JRT4+n10+Pj5nNj5neDc+0ssoPqxsEj6AMBo+Lc0ePvRoGj6y5CA+HacgPkm/Jj4aTS4+doouPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+qi7Q9QhGMPc3UgT2xMUk9DYxBPXOvQj1JXU49JOxSPbnzUD3scks9gGlYPWo6cz1lWHE9WAR0PZqWdD05a3M9Z21xPfwDeD0Rrm89UP1sPYhpYD2xe1o9J1BPPRgGTD1Z5E89WuFTPUK0aD0oXVM9JzBNPck9SD2KIFM9kIxIPWfkVT0/l2c9B1tpPSMaZj2AKlk9PUxFPfbcXz0G+2w9GlJmPbdgTj1/UjA9zOQ0PcG2UD2W22c9ImhkPZ1EXD1xlUA99XI9PXzpMD3qjyQ90YIjPSXKDj0lyw89foMtPSthPD1iiTU9jsMvPWoSLj0MsEE9bjJDPUUDTT3U0lU92X5TPSDLWT01QEw9/l5UPYuXSz3+iTk9H5Y0PayOND2JEDE9JnU4PQn4RD2OCFg9vFpkPclXcz1G8HI9BphlPWThTT29c0I9bvFMPVOYRj3JL0c9QK5LPU2DVT3GhlI9X6dGPf/YST2tY1A9ZK5MPeiORj0jhEs9uFZgPa2ohT3BdIk9sIqFPYwRcT3eeVE957E/PUzxYj1Mnn894ZF1PXoBdz1e+og9FAOGPcvTdz38aV49VrJXPRDbVD0bZ1U9ZGFOPVvhSD3nxjw9dikyPVZlJT24iBk9K7kYPYu/ID15DyE9UGEsPVqgLD2/bzM9iF5TPZYpZz2BoX09WnaAPUhaez0qLFQ9HAdCPcRdNT17rjE9O8o4PSqkQT2nMUU9tphLPZTBRT0mf0g9u8BMPVVBUj3kfVE9jFo4PettPT16fks9WvpSPadpUT0kslI9Y99XPdECYD2BumU9lRd6PXsvdT32X1s9ozxePUaqaj25CmU9VF1RPXd2Nj1oukE9BAhIPViUWD15ql091NNYPcB3Rj0jpkk9l15IPfnqRD3lPEQ9wSRTPdIHUz1clUw9QohZPTk2Vj2KkEw9BS1CPUd7TT04ilc9DhZcPdOtYD07ImM9BKJQPVWQLz0Doyc9Pc4qPTXxLj2KXTg9kuRIPRDxQj0/OkE9AF1GPb7nSD0y4D49tdolPThSHD2TCRs9CoQaPV90Hz3gbyI9u6kdPZgeKz3uNTY9xW4uPb4pID3DzR09XYAyPQOEjz3a+lE9MV0aPTBrFj3iFx89o3IhPQA5GD0S2yk98CFaPdVaJT3+2c88IcG8PJltkzzvLZk8F6P5POzvjD1KBEo+tQVOPg1HRj4BdSY+AEcpPobHJj6cnjw+rQpDPqYYRD4/PDk+9EQoPvJuHz7RGyE+JS0uPuG6Lj4GPSo+hDMrPpviNz5eYWw+SOVrPmIAYT6xPWU+Ut5hPmIxUj6dGU0+Oko8PkpLPj7UTUc+WRJKPvdYQz6XqTc+nZU4Poc8Qz6ytEE+QApJPkzIWz7asXc+vHVgPpw9Xj5U6Ho+FR98PpOeUj4nFFQ+iLBLPsciRD60C1M+EBxTPntGRT7G7TU+v6Q/PoRbVz5511g+woZWPhsAPz5igzI+0wBEPvgDMz6IdSU+psUqPi+xQD5jgV4+iLs3PrNzNT67M0Q+DkZZPtWUXD5t+1A+BehCPq8aSj4ilUk+JRs7PhFNNz7wci4+HJEvPtkJND7aMEU+zlJFPjUART4AEjk+6Gc2PhMvND7GODE+jW8+PqgXRj5EOUI+yXk7PsIpMD5LrC4+giVKPonUOD6C1TI+ZqEqPkqAJz70EyU+B0A6PnQYSD7+nD4+I+5FPsctTz62qFY+kmdPPgrLRT7Tyy0+wEsqPq31Kz51ajM+gHQ6PpXEUT5kXUc+rG8qPs/tMT6qbiw+Yz4lPh/fKT4Omig+j6MpPmrpLD76RSw+u4A+PvUrUD6b1Cs+taEePmayGT5tfh8+gksrPthWKD5QJyg+NuIdPgo9GT5gUic+YjEoPl0TJz5+XTg+EmYtPvEaJT7y9y8+PZZLPrgqOD4OMiI+j0wgPonFJj7u8ig+/d0rPoYuID53rh0+ntckPg+kJz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/aKmsPRPOgD3sCXI9dOVaPduxYD19fm09XAh5PYR7bz37om89fJB6PfxBhT2HxYY9Av+IPVF0iT02gIU9EuuAPf03YT2uE1s90M9hPZBLTT3EvVU9Pn5aPRGVUz0Wijc9DwYuPXIgNz2Jtkc96IBUPcNFXD1O9mw9y4NwPWvYfz30ZXk9iiNiPdgbWj1FVGY9wE1uPXXqbj0xAFo9bCRCPTgoRT2dZ0M9eBk1PYfdNj3ftUM9oKJQPVtDVD3mk1c9AERIPepBQT2ekTA929IoPZ1JLD0zPSY9+SQfPZrcKj38YUE9e60/PVOJOz2VUjw9zo09Pd7wRj2Qa1I9o2ZhPQ8bdT3bfW49X4FfPZI7RT3/5zk9Z0kpPavcJT2k/DU9ARQ3PU09OT36QTs9XhVAPV/5TD2DEUg9vgRJPUBUVj2n31s9vi9TPVksST24b0M96jpHPSuASz2oE009tbpHPfb+TD3SM1w9OYNVPS5bWD3HB1k9zldePQGqbj1LQXk9ywhrPT8QYj2FWko9ktY8PdFPTD3vTGo9cQhvPX+PcD1oEHY9LAF/PXaveD3a+2k9qeFsPU2UZz3DpVY9FgxNPdSCQD2TPzA9164ePT9sHD2REx49dhgVPerPHD2nPiw9yfc1PdJ+Pz0lGD09Muc6PW5YQj3xUFw9oyhbPWIpPD12YTI9GKk2PVTZUz1G3VA9vks8PVv7Qz2IVlA9CBRRPerWRT3J/1I9UWZMPYx/Qj14Z0M9HAdKPajdSj0HH1E9YhlePbhraD0FH2g9fJpYPZbDWD3zQls9YKBbPb6Qaj24ylw9ogFgPflEYj3JiF09c+9HPfoLQD3gwUs9OsRMPQX3bD2cPGk9Po5YPR37Pz1WmEM9eKxNPQONRj0VY0s994pdPXGebz2vlGw9ouNgPWFwZz3oOmM9IiBMPfQgSj3KB0k9kCZSPQudWD3omU49klJDPQPIPD1nDjM9PawqPX0HNj293Dg9TdpGPR2cTz3V8E09kIw/PUGfKT3YtRk9cE4WPY9vET0NaRI9q7EPPUR4HT1Vah09jIsbPZKPJj1PLx49nJIZPZuzFD0lBBc968ESPV28Fz3/MjE9wMYhPRrIJj0W/bE9IpozPuAlRT7w9y4+VQjfPWq1eT0Z2oc90JaiPSLSpT09uLk9NY3nPXfkBz4qsCM+khUhPu16GT5NyBs+sTclPicqKT6D0Ss+YzEtPkVeND5h2jg+0R46Pj0+Lz4HUjc+ZjsyPuY1Lz4QPTE+VfcxPqquLz5H8jM+Y/ZkPqSZbj69Wmw+AyeAPk/1gj4hTGM+PftRPhdzVD6JMCo+Blk6PnciRj7YlEk+idhkPk0ccT5Ni3M+viVqPqVLXz4KzUI+Ky1VPsPTZD57mH4++XiUPn6TmD5kPns+u/IwPozuMj6Etjw+JeE3Pg5oND4uBTE+Cs8/PsWSUz7W20U+gVFAPuvgPz4CRTk+/oY7PtGLST4Ck00+S0BAPq8rOj6tfjs+T9lHPujMOD6yaEM+K4hQPvQyTT5IK0w+mxdKPogyPz6tE0c+L51GPmGkMT4G4zQ++Vs7PohpNz7+Kzo+mUA9PjpNLj4sTiw+NsorPrlSKz5VrDU+/8I5Pi65QT7nUE0+DBNIPhp5Pz6EKC8+KycsPvfJPT6A4Dk+40M5PsBjOT7pqDg+4pwlPgBSQj5Z+U8+MpUuPkwKPD7avzg+tpFSPg4uNz5f+Co+jgo3PmAyNz6dfyU+UBQXPsshKT7xmjg+FPBCPiWrOz7ILzk+stYwPoELKD5N/Ts+InQ/PnNaMD5tRyw+1WcnPoVXLD4ApCg+L9sqPgPbHz5dfhc+psQpPg6SIz6iOyI+DbwsPgcqKj5Xcyo+H2soPvtfJj5gRyI+5osnPn16Lz423So+bl4qPqzCMT5prjg+tJo7Po8wOD5t+y0+qnUrPn2sJT6APCQ+aAgiPsEMLD5FYy8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzZH0T1L8509c1JxPY11az3eYms9JyduPSbHcz0q2nM9cYt7PeOqgT02BYc9gz6FPTkEhj2PW4E9afhiPe+4Xj0dEVU95ptNPRAIXj2lZ2I9cMJYPdJYTT1tqEM9o3A+PbdDOT2XWT49TuNZPYsWaz0/RnY9LZCMPQ6NhD3xMW49iSFhPfBaWT12plw9NOBVPQERSj0f/zE98AwuPdyBNz32Azw9GA00PaPEMT08v0A9KDtNPQqXRT3IqUU9VaBIPdZuQz3h9jY94XgmPUuDHD1wvSg9z4ItPcZOMT3oZzM9qAg0PXdWMD3umTY9p6k9PTPcRj2CQGc91wiFPSiagT2oXVo9suE6PcqCNz3uMzM9LOE3Pf3UMT3fuy09nyg8PaplPD1OHUA91KJOPQAwUD0Q+Vg9oe9bPVAnZD2l8mU9cgFZPQcqRD01wzs9P9lIPXXKVD04ak897XBPPQzQYj3X41k98IVgPVWabT1FW2c90wtnPYf+cT2mGnM9b8VrPfpBVT1dX0s9vTpNPayNVj1ELmY9NNt8PfJmgj1tK4U9cWCGPc5+hz0rMpc9B+eiPbtLhT2ThFM9msVGPYttQT0Fyyw9HhY1PX3aMj3nvi09x3IsPR9gJz3IjSg9x9o1PaVqPD1mqEU9sldGPaYySD1hX1I9NbZfPeNUZD2atkc995dDPS7PRj3NBkA9SqFHPRHuTz2GZ1M9IQZTPQe4Uj2uukw90hxJPaKCSD2bFEg9FQBTPWmEXD1nQFs9peVWPZZyXz27hGE9tP9oPfE8Xz3Q5l09Y3BePdfUXD1Vcl493s1dPb0rWz3xuGo9jNBpPVTrWz2q8Eg9CJ5GPZBGNj3upTY9ABk9PRyXRD1e9zw9FGI5PaoaOz0K/T898OpLPXHgXz3pQ4M9Ha+NPeBUdT0oLEI9nZE7PYySPz2BZlU95LdVPfGgQz3n+Dw9wc8yPV9LLD1ssyU9DfUkPWnyJD3CMD09SwJIPQyRRj0skjU9lesSPcqrDD1lJhE9WX8aPfdjHj0/GBo9J+gVPbwtGj2ZJxc9x48dPbZWHj0cXRI9raMIPbc5ET2iFR89opMhPX4EGj0/7Rc9r0EPPXPJBT1i4BY9GcFIPU0rlz2KV6U990LLPf5L4D2z7BU+SZQsPi8eLj6vbCg+jlEoPus7Kz7owig+ZPcbPuYGHj4pnSM+ImgjPg+gJT5+2yY+fCIpPv6gMj53gSY+jEAmPoEpJz7A6Sc+y+MxPoikLT5wES4+YEw5Pg2RNz585zI+93sxPvQpSz4oa1k+TxJYPjGfZT5RM2k+XQNXProhXj4jE1s+TuRAPvr9Qz6c3k4+8yR8Pl3vjT45Cn0+9bdOPhYQQj5CTj4+zRE6Pj34RD7DTWA+6o99Pu4xgz6Fm4Q+8VGLPrIHSz77ljs+epw3PsCzNj4LqzU+jVFBPuxBTT6E60U+yvRGPh7+Rj6gWkc+dUNJPjc5Qj4hSkQ+OWBCPukXQz5ZBT0+A9w8PmL/TD4nH0U+xts/PqhdRD6QREU+BYpFPuvwTT6hSVc+5OlPPlmrPz5ej0I+i9JIPpWUSj4aHUw+6W9DPlZgND6NFz4+/2M9PkTeOz4XVTY+FTwtPt6ROj5C60g+eghOPt8NSj7Q4EE+cuE2Plq2KT5Btic+LY45PqC1OD7OJTM+yk8sPgRoNz6rcj8+lK1APu0ZTD6TQkU+LOI0Pjk/Jj4EHCE++xkvPoWJOD76ezE+sKcqPkqYJD5egiI+eBwmPqAqOz4wBis+X3ErPls5Mj6bOyo+FcouPjCZKz5rHSk+yO4pPiRTLT4T1yk+SdwvPiokLz5BTiQ+nSUcPirLIj6wAio+4jotPt6ZKj76big+fh4yPoieOD5l+U8+7KM3PjTvMj6wBCc+fCUvPj58Mj4hCzs+W9FAPlf7OT6x8Do+o5swPuJbLj6D/TI+9w4wPrfuKT7iLjE+NzMzPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9CSdA9svKbPTa/ZD0v/GU93fhpPXDfZj2DFHQ9jGmFPXgOjT0LI4Q9El6CPZk3dT1srmY9tZNIPYV/Qz0PukE9ChtFPbf3Rj03BUw9zTxQPS2DQz0Xtjo9HMg8PQ8dQz2hZ0I9IPNIPcjObD3J54A94Vp7PQhdZj2WnWI9TNVUPWPvPD37QTc9a3Q3PYDzOT1fsC49li4uPb38KD0Db0A9gFBEPa6AQT3VH0c9vjVNPbzVQj3bOzY91uFAPQOqRj0WfD49ktI2PYiyND2+bzs9lTlFPbyGRT2bPzQ9mSw4PbS/Mz01QS09h6xEPfaDWT3oaFw9rJBsPegpej3ME1w9m8U8PWvxPD2ftz49F4xDPV/BPD0EEjI9PeI4PUsWVj19Kl09D0xjPY8uZj04uFc9rI9TPRxfTj32JEI9Ay5BPRc4PT0rGT09FHhGPf1NUz3DT1k9AlhRPVMqSz23jVY9BmdbPfLvWj2Ocmc9DPJePXMdXz0xiF091eROPbDIXz3KOHQ9K/uBPS3FgT1RLH49PCOFPYBriT3eQYs9E7GFPSEafz2QWIE9jryGPesrhD05G1w9pCtNPZGCTj3a8kI9MAEtPVwKNT1DxjU9utovPbwPMz1YDzM9jHklPWFXNT3XgD49byNDPfI9Sj1ZAk09BvZJPaxzSD2mpUk9H+lKPVCJUD3G3FQ9j7RZPTYQWj1n9F09HzFsPYcVcT2LcFQ9I/FOPZGARD0uS0Q9ebZHPRCCVD2ufFY9TzRYPbXbZD2QeWw9UsZpPSeNej02EXY9KEBqPUN6Xj3nXVI96eVUPdPaSz38b0E9sSdQPT6OVz3Yb1A93201PWKdNT0LFjk9xCc/PYjjPz2Kokk9s8xFPdXLRT2pNEI9ryBSPW7uYj0NH3s9DJ2GPaEpeT1lV1g9Rrw9Pe0rOz3T2T89DSRWPasZXD05mUI9XpM0PY8kLz1Hbyk92eElPeqWKD24uyg9c44vPd9dLD0c2ic9aoQePW7tDD0CIxA9wlsTPbnvFz1+rhc9osYaPYE1HD1+nhg92+YYPZn8Ez3oxRE9ibUSPQKYKj2+RSY9g4AkPajkNj3leCg935kfPZR7+Tx1yPw8Q0khPfHKHz2GzQU9mprTPOQ24jwkAH89cYcAPl5+Iz5tATI+1zIlPunSIj6gvyA+2qUmPtNUID4qRB4+3i8qPhdmMT7ioEA+Yow5PoEcLj5qHUA+WWE6PgP2NT5VsjY+kjk5PhnwNz6xrTY+isE8PtYEOz70QTE+q/QyPslfQD5swVI+D/xfPlr1Yz4RUmQ+P5BvPp1XZT7S72Q+vHpgPmrOVj5UyV0+xDtDPtLQQD5Cx3E+PmBUPiq7NT5+4jY+5pEwPoOtMj4LFi8++phRPqIERD57ozo+8YM9PrvPTD4avUg+B91MPuQpTD429Ec+eQBEPmqLUT4jrVE+NfhAPmdhQT7vOEk+KJJKPs1uST5VgDo+VaQ/PrClQj5MxjU+zQM2PjCYNz6N7z0+b8Y7PiLFOz6B6EU+FZBTPigTRD4L7U8+Y/tJPtc3Pj475Dw+A/k4Pv0uQD713UE+JhJFPnTiQD5n2z8+fH1BPvvFNj4AFjc+nqcyPuBOPD6CrD4+3to/PmrMTT4Mnz4+1Y5BPk/BVj5cEUw+wX0xPjJnQD5wkUU+3hY6PlT5LT6O4C8+M1w3PhS9Pz5o5zQ+GGkxPg+HKT68DRU+TeUhPtNzIj5VGDI+c9w6PnNPKz4CNCU+a6grPro/MT4ocjY+ISQ1PgnPMT4drzg+blsePulPJj6VoC4+8LwrPn1wJz4T5ik+2CcdPrqJJz4jHTE+i0EvPmQtKz6SaxU+nkkhPgoSLz5NCiY+Tb0wPvw2VD4ZVVg+er0vPstiMT4bOTY+wm0sPv07Lz7CUzE+gTk5PkqiND4AkyQ+BFcwPhr9MD6ZyDc+uek3PkmOOD6GWEA+GcswPsYyKT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/7iAEPn69tj3Knmc9IeB7PaOfgT0vNYQ9qyiJPWbojD3pzH09tbRdPXTwUz32kkg9FBdBPdaATD2vyks9B7xAPfWFQT3HJTw9/oQuPVumNz2hf0Q9WAA+PX87QD3iN0s9R1JRPfxaTj0fZG495Kt2PXA0aj2/DVU9IXg6PVFqOD3d00A9wq5HPapTSD3P0ks9pHM+PcaMQT1U4kw9JwBZPSO9SD2SoEA9T5cvPTMmNz1vcko9x4JHPTh+ST1OX0w9ts5KPeLNOz0Irjc9Rrc5PWVHPj0+N0Y9ll1IPRpgTT23ykk97rJJPQ1YYD3Wa3Y9Cu55PV/OeD0B1FQ9pXFBPVixQT0Az0w9iHFaPV1VWz1wkVo93n5mPZELYz3YF249mLV0PRaraz2iyVc9IRlbPV9XVj0ccUI9YrFBPfqRQD1UsT89QAxEPezjTD0gSFA9+HNHPSYQQT3gE0Q9ejhcPZRdbT021lk91QRUPYYmRD3RW0Y9IrhOPX51UD3uZ3A9DLyDPdY2jj03f409D7OBPdRkgj3jUlk9a/0+PZPnRz25i1E9oKBkPe6ffD0rVWM9ijtHPU0cRj2rmUY9rApBPaU5Nz2eJjU95YgvPVFGMz2xKTU9sGw0PWXpRj04zUk9FThEPVD1Pj0a7UQ9fV5IPYUoNT28Cis9rxhJPQzUWj0+6VU9ZLpjPfeEZz1Y92s9NitjPfqKXT1L+lc9rvtXPdpiWj0KQ1893DdRPUb5WT3in2o9a8puPZ/yeD3SGYI9wFaBPfWOcD2JFmQ9yHFZPQsmbD2CzWY9QClfPVRxXD2XHE891v0/PcYIMj2VhzA9hTcnPV5/Hj0OfiQ9M301PbfUQD2zOEM9DshDPW4QSj0Shlc99plPPY7bUT3mFFY9C9hoPTN6bD1nc1w98+xDPVlAQj1likA9GJw6PX7OSj03nVg9W11TPRsAST2CjDk9098xPeeoLD0lsSQ9BDEfPdKhIT0keRM9TjkLPfiPCT01SwE9Z8YAPe/sDT0nsBk9F8QbPfGKHD37zRs9EogQPXuNDz3nOhA9hpURPRzDEz0WUR49dlcXPZ80Iz1v5DM90FEhPYfbSz2Jzlc9RVKuPZLoyj3brVs9nqc6Pch9Kz27BT49y/S9PRAJID5/lSc+5MUnPmgOKj6Rlis+UhgvPgaYLz43qCk+llQsPoNIPT7Hejw+BsU/PjlTOT45eDA+xQJDPnKWPz4EnEs+16hOPpZ3Uj7MFk4+gcU/Pn2rRD7IwyI+g1AbPqxxJj4mK0Y+EVtbPvuTTT5b0UI+h3RKPtkYaD7ajYE+ubhqPs06Yj4YS2M+rENYPv9GRT7eUUQ+AGhFPh37UD6y7oA+gppjPhRXTj4gFlI+voJOPtufVj6s0UY+yIlAPvzSQD6OD0c+W5Y5PmjJPz4B8ko+MOdGPiLnQT5fykA+fk5BPrkdPT65Rzw+obNCPi1LRT6yOkQ+Y0A5PtgQOT5mN0A+Gb1GPvNIPz4j00E+JgJIPuHYUT6MskQ+LEA8PsgtRT4vhjo+AeY6PrcePT7OoDk+1G5BPgo2Pz4whEY+T4pBPlzKPj61bEY+1a1HPmOOUT4nHjo+kn1DPokuSz6bu1Q+4KhCPv84Sj6rgUo+72tQPnvMVT4WfFM+NL09PoX0NT4cGTk+NDE/Ph4aOj5fKTk+wMI8Pu2VVj53R0o+Gx0rPpY+ID6Vcjg+ubM3PhA7Jj7n4Cg+qmEsPt5dMD7TOSo+b1QwPh5kNT4lPCk+V0ctPo0KMz4QWzA+/v0nPjlvIj6iVyQ+/KY1Ps0UMz4gIDA+Gn0mPq7kJD6nrig+6agvPk5AJT6oPSI+hOshPjZhJj6VBCI+M/YmPq3aXT7zKV4+Rv5TPkh5JT5J9CU+U9YlPr0CMT6yxiQ+HVgfPkczJz7tlCg+x30ePtPXHT64byI+ygUlPi5mIj7YVyA+/L4wPnJDMD7AIy0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7a9xj1Tkp49PIFhPYnIaD2rVnM9SEOAPay+gz24m3M9igJWPaX4Pz3GND89ypxCPa2JTD1O/VI9eSxOPbbbQT0Odjw9L8VDPScbRD2b0EI9LzFEPeI8Qj3XKUU93hBQPbyzVT02HmE9VdVrPfcHXz1IgVU99LNUPSvGRT1Gf0c9W7BUPQBJaz1olYE9V3aCPUzOfD055lU9OHxKPVqPNj3WGjU9rt08PSXcPz2rdUc9Ey1MPV+uQz2fVUQ9imZNPRmxTz1CUE891UtGPZhsST224Fc9zZdhPadJZD0TQmg9rLhtPWZvcj1Bhnc98AhyPdfmYD1YNEs9uGs7PUZmSz3StWU99MFxPdkhbz1txWo9eGloPQRldT2eaG0959xwPQ4lXz0KSFU9CA1HPcaiSj087k09mK1RPaWJQz0vQzY9lbY6PZ4hQz1wElw95qBoPVtVZj311lQ9Qn1SPW+MTz0I2Vw9qhNgPSguYj00PVk9dhJSPVGYaT3q8H09kkuBPbmVkD3ag5Y9OryTPRTvdz1Q+FU95eVHPbSAPj0gqkI9D6hXPb5sbT1i+2M9ytBQPSreRD37RUQ92u1FPfLNRD04aUM9QQdGPdX2Uz27mko9EaE5PS9fNz3vAE497FtNPd8YPD3Vdzg96Rs5PVnWMj1DrDI9/9s+PbRfXD0ZnHc90BZzPdWPdj0VUXg93gdvPQRjUT039lg9CixgPRp1Vz0en1M9WFRYPRQAZT2NqG099YBvPQLFaD0niGQ9eBFjPRGGWT1QI1I9RlNaPV4laD2WDog9q1OCPejXWj1vYTM9wiQqPeoYLj0ZTyk9s0UnPfiEJT3foSc985MjPaz8Nj3ttVQ9ppZfPao/Uj2iNkg9GPtAPcisRD3W5Fo92LJnPcmqZD139WU9wdBaPdrzVj0B4lc9dZtXPZEzUj37Alw9JrVjPUUyUz1jrzs98JQvPYFGLj1LcCg9b6kgPTq5GD2T9xQ9E1EUPS/EFT3IqBA9eu0WPRgzFj268Bw9S28iPYRCGj2iLhY92eMTPfoiDT3IVQk9PlsLPddVEj3O+Qo9z7gEPYwOCT2VoQs9UqAHPQJGDD0bEVE93ZOAPWgo3D1bvwo+klEmPsPNFz6VeyA+QaUfPnz/HD6GfSU+CqEjPnt/ID7hnxw+lRcgPhGEKz6QYD8+pnlDPmQJSD4jLTo+dBEwPihDNT4pdjI+FoY3Pni6Oj42WVc+pi9kPl2KSz49nkg+rlJJPllxQj48RUA+hUVHPjOyWz77rVk+aohWPms/Tz6V30I+dho7Pp8GND515EQ+MoaFPq3GeD76wlc+h7JjPo4CWT6LZE0+pKFBPi69Mz6wMVc+P5l4PoEEXD7gh0Y+4xFQPmSebT79sGw+VA9KPshtTj61IVQ+g9lTPqYdRT6sYUI+11RVPjaSRj42Wzw+LbA7PlW1Pj747UM+A9JMPuvYTT712Dg+XGw0PmuAOD4ApDY+g5w0PmLjQz45YlM+F2BHPuqlRT4whEI+X+I7PgbnOT7rtT0+VMo8Pik0PD60Fzo+uEo8PkqCQD759UA+qIpDPvnFNj4ZbTQ+Fqs8PpYoRj7H4UU+ELJCPgh9UD7bWUU+IHc2Pt7qOT7gmEU+gFsyPt9lQj7tj10+SeJjPl61QT6xMT0+J/8wPlTsLT4M2yc+ft8sPhoELD6Wyh8+7j0sPugxOj6qlDw+fvs2PvaDJj4IriY+iw0gPsblIz7e6y0+OiQ0PgIwMj6CqRc+rkgbPjWGIz7KLy8+rh84PgvmNz6fWi8+5S8oPnqiJD6SrCc+bK8xPoMCMj53Nyw+2MorPhd/MD4BkTI+M/8ePjwdGT7Nkyg+pY4zPvGJLj7sHzY+HCkpPvasJD5H9ig+D+koPpLqJz6REyc+YzEfPucjGj68yx0+KRsrPuQUKT6D7S4+xrk/Pv2PMz5LWS4+SwsbPn5ZDD5IRAs+SssMPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9tNdI9EFuePVPnaD0MtGY9HkxkPRwbcz3cnIo9Xf+CPUccXD2j6Us9gmVPPazkUj1VsF89iGJoPaVUbT3xJ1g90a5HPdc9QD3nlTg9UtVSPUiuYD3WI4M9wh2DPYt4fD3YS3I9cIhcPdGCUz1MQFY9/RBUPUEVUz3KyEg9cqRJPZYfWT2sm2I94mxYPbOfVz2tc109dG9RPSLRRj2lfEE9WnZBPTMdVj1gaFk9ddNMPRCbUT0C/GI9LO5fPVzEZD1ic2Q9tFVZPSOsWz2g3Fw9gXJmPYXqaj0+oIE95haAPUPudz3WyGo9CdNLPSjCMj1/Ezg9dyQ+PbfAUz0hfWU9cglkPRYSZj3cQ3A90TprPV2tYT3PW189TJNaPUDbPj1NLzs9vepOPVp3Tz3s71U99FloPbF9Xj1NMlQ9SrFSPcHdUz35FFU9W6JaPZlBVz2npTs9y6o+PfDjST2wJFg9Qp1iPTlNbz0xGGk91WRxPXAjdz1cKog9z/SVPfk3hj0P9oQ9g2KEPWJFbT30GFg9huFJPcnMUj2vKV09xgpaPTbLUz3NfVI9AaJHPQxxMz0BTCc9NegyPWpMPD2c2UA9sqJTPZYKUz3kmEU9IP5PPdCBTz0Hs2A9/gJiPTWbSj37WDw9SiQ6PbY9Pj0WuVo9ZQlhPePxbT1CtH49IvJ4PQCBZD0aOGM9DxVSPUE4Qz2XQ0M9VtBGPSNpRD3Kclk967BoPTq+cj2TeYI9dRBuPZOTUj3Lr0U9y+ZFPbReRj3/+Uk9GgJVPQHtYT2Qr1Q9AYs2PVWHLT0Mkis92tUrPdGyLj1h2iU9/hUZPforJj2oPy49YmM+PUFoRD0EnkE9empCPQOfRD2iET89RSFAPe5RRz3vVlM9WFpWPe9sXT12wGE9tJxaPRtcYT0F/l09fZVSPQ2DUD3jiFo9ATFYPR3gPz0OCTY92/guPTPeKz1itig9qq0nPZzMGj1Kxxo9uGMUPdK4Iz1shSY9w2AjPY7VHT2saR09OogYPQB/Dz3hHwc9XjL5PNol6Ty+t9U8VjHQPL3W/Tx5Cw89OXU3PeDAVj0e/p095rOYPQ23pj29ICw9psbiPLb13jzQCUk9jZQWPhqGTj4N7ys+agodPmlDGj4WRRw+EBAbPrJNGT53pSI+gKEqPtYBLj7AJTs+yaBNPuZbOT4TTSs+4iwzPtJsOz5gEDY+/sI8PnwRZj6h7mE+u6hcPuNNZz5fz2o+kHxiPjWfSz5hfnw+uBloPja5QD477EY+uvFePqr8bT5+TYI+ot1MPm3zLz63mSU+e+onPss9Mj7NRkk+ZKNlPoXhZT4eT0c+S58+PiHFRj43LEM+DLJtPphGaT7DJzA+eaEePqLnMz4NvV0+/gl9Psg7UD6NXj4+Ek9BPjEFQz6pHDw+zmY4PjnYRj5L61A+JI45Pk1sMz5czTA+Y3Q8PrfwTT6GR0Q+QDooPu13KD7dwio+npgpPip9Jj4XFzw+bHdRPoiAPj4XWjg+3SUqPhj5Oj7dokY+V646PuH3PD6m0zY+NCYyPvWSNz4s+zg+hTdAPoTxUD77G0E+A1RAPjrZPD5UBjc+jKcyPp6EOT4tB0A+t+U9PrpQNz5d8zM+zj84PkoWOT50zjg+uZg+Pr6iLT5h5Sc+6rNHPk/hOT46Iio+rAcjPvflIz6eRzI+t+8jPvkcKD7c9Tg+UW43PozlMj6BpC0+1UQnPnynKz4cYR8+YfQlPtroKj6jeys+WyooPtr9Hj6TBBY+CwoqPubpND7UoEA+krkjPhgDKD7ZsTA+EHYyPo2SNT7AaDc+CzIoPnE1Gj5WrS4+g+M2PigQLD78dig+dnYtPg7OKj6d6iw+JkQsPpN7Nj4BQzw+1NZBPrNqUj7r8Ec+dko1PhPdLj5GGyc+ACItPqgwPD4C7DY+MSRMPjFFXT4H21M+qj9LPuQuKT76bRU+MuMQPn03ED4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/XGXFPW7/gz0Q+249mu18Pd5Fbz0yPWU98jVRPZZHUz0KpGQ96ZVYPfG7Sz2Lg1Q9icZrPdY/XD03Xl895yhaPW9sSD1UKEQ9atRMPVOMeD0HInA9FhNoPYjqXD3F0Vk9Q3JgPTRxTD1S5FM9k6hMPTwkRz1nw0g9dhlIPSXPQT1bKTc9PD9FPdzlUj3BRUU9YfFBPZ0jRD07xEA9PTRMPSYwXj1qFVo9SfNXPVqnXD1e4Go9SI5hPRCVYT2HdnM99gtqPe7+Zz2g+WY9h/V1PTSggT1fioc9HK6CPVi9gD2bxG49Eq9aPWT9Tz0YdkQ9mFdCPXzITz02QV894M9zPfAyiT00g4g9aGd2Pf5WZT2aLVc9iFVCPcC9PT3vY0c9TF5RPXyPYT1WE2Q9Yi9YPYxqUz3rpVI9JPtAPSf9ST3F3EY9bKJGPbrTSD1a3lE9evdcPZC1Yz3YeWo9V6txPRamdz1KioA98JeIPbK5lj3acJk9pQmbPdOkhT3JRXQ9q5N2Pbhzaj1kJ1s9oopZPaISUD039WA984BjPV/AVD17FU895ZpMPWnJRT2PpUU9H1FMPep+UT0mGFg9SpZgPdNFYj3KxlU9LxRMPRi9WT1xwl09ZKVJPRhdRT2/Vzs9Rdk7PYC/Qj0o6VM9fF5sPSJSez2kxIA9pjt4PQ0oTD1WRTc9Q4Q9PQrcRD0JF0o9noNYPbxfXD0d8FY9keJdPSHoZT2NNGY9bO5XPfvhQj20gDQ9AIw2PWmdNz1AakU9swhQPd5SYD06O1k9RKdCPUALMz05+jA9IEg1PYcyNj20VTA9R20oPcpFJT3v7TU9hbdBPRjcST0onkA92xQyPfzPNj3aljg9efM5PeZ9Qj0xuVM9qCpdPS6QTz0wilg9TD1kPXhpaj1+u2A9gxRUPZc4ST2AhT89sLc1Pe8TMD18Ti89tDszPdsaQT21SEU9X8U9PdBiMz2C9zI9dTsrPUpfIT1z6SM99xszPWevOz1dAzM9nkkuPRzDID39JhA9/08FPYo69jwdUvE8k1LpPHzhAz2+KBs9U2E2Pe08sT2dgMI9/kDjPZNx3T0B96M9FaWwPQYyJT6ZqzU+yI41PleaLz4ApyA+/p4lPoAjKj7GUCw+NJ4xPqymNj4uqSw+EJAsPjiuLT62GSw+Nr40Pi4fOz5fWTQ+gq43PswMJT5pExs+hp4uPop7Lj4ZYCs+MA44PmrWXD6tL3A+Xed9Pl6ZaT5dLV0+BfVTPq+zKz4NETo+rrw9PrSEOj6laEs+9ZVgPpB+Qz5QpjM+3VU0PmjpOj5rOzo+9yc3Ple0PD5XZjU+NAQvPmNcMT5XaEA+26I/PlmSYz7TV1U+Ygs4PnvOMD5H0ik+wf0wPtTSaj559FQ+jO1MPk/QQz7pBkI+MxU6Ph7/MD5rzj4+tBVJPhUEQD5wvjk+lVY3PhWbKz5DJy0+WZcqPmHLID6FdiY+Ci0pPtd6Nz5TfTc+di43PnnVMj5JiSs+WpkrPt8hLz6pQTw+rqc1PsJ4OD6Eljk+lHc3Pi0zOj5YmjI+EP4oPktCLj5CZzA+wes+PvuiPD6Flzc+B1oyPvfiLT5XeSk+Vu8qPr4eLD7Wzyc+rF0rPvyePD5kEjo+ZworPgPQKz7I0js+80dDPhA1SD6exy8+72saPi7GJD7SyjY+8bw5PvIWIT7CqCs+nAcoPlWAFj72GxA+AtIkPiZfLD4olzA+wdorPgp6Lz4jyiw+a5QvPrevLj5lMTQ+oVY4PisANz5C1To+9VQ8Ph7LKT4fEiM+p0I8PmVqMT57kzI+bhk2PnzIOD4sWDo+8NswPsZKJT6M7Tc+aRVIPuVlTT5AG0o+++gzPtS/ND6deEU+KeFBPtO0QT7fzjg+7BotPireLz6b0Cs+7E9NPm+lTT7GkkY+/ec/PtGkMT76SxQ+EossPgXDKj5nlBg+1HoPPglYLD5HGDM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/9GI49Mg6APc90gD32z3o9wK1tPQPrYT2GdGA9OdNxPaVQYz0iMFI9qypOPbx9Xz0AtWY9wfpkPaspTT0M+z49q1o7PU3FSj38V1s9ToljPQUGVD0r10g9LIFBPaKKQj33N0Y9PW5dPR29Zj0Y7Gg9eZlhPX65Xj3aTVQ9iIdIPQROTj2uBFo9cclMPSXiRT3zz1Q94ytTPecnVT23TWA9CLtdPVi/Wz3WeF093I5jPR3WYT3Pk2g9SYKBPa8Hgj0ozII9ISqDPWzYeT0MyHM9ah9uPQ20Wz2FrVo9AqpfPe1cbD15j3Y9ikRsPSKAXj06VXg9r/pzPdT1bz11knk9q/VZPUUJQD05AD49/ZdBPcBRQj0/nUM9hhlZPdXkaD0y23E94RqEPf+uiz0bTGc9VE1NPelnRj38VVA9vd9UPfh4WT3fzmA9w2NlPRpOaD2RAYA9s2GIPezQhj19HIk9oyKGPZx2gD2uSYA9UraDPV1EhD06K4k9m+h/PRDlXj22Rk49V0hTPfrGUT02k049BKJDPSUFRD3Dvko9F7hWPZLoTz1rKks9dVVIPQIGVz1lGFw92X9dPfJ2YD2XGmE9nclhPa5OWD2h9lc90T1VPQW3SD1V8U49yTxTPc4VST1ovFU9xUhgPUnJZT2Ju3Y9GVdxPbTbXD3JCUg9tS04PeveOj0zBUs93EJOPUGKUz1C1VE9/hBWPcCCUj2jeUs99+Q9PTOVOj3x/zI9UOY0PV2qRT3vwFA9dalWPVe6Uz32Ylw922RuPboOVz1Z0T0956k2PclBPT3wSEQ9cAVGPXuHOD3QITg9hjJAPS8XQD1gU0U9jGdOPZ0aRD0KpUA9v8ZUPaq9Uz2FuVA9GOROPfhSST3lDFA9NPRjPQ13ZD34eF89j/hLPefxMj2i4jA9amcyPWYBNT1HGzQ9SrY6PcrCST14d049xVM3PTQBJT0FmSU9rDYoPWYtJT2M6Bw9+LcZPUcNHj30/Rk9j4QYPdj5Ez3vhAw9anv3PJB41jxsiMQ8P3vEPJnV2Tz4awU9cNEWPeJOEz1+4i89dgwzPZ4PNT1TGSs9l5ElPcqksz3X+j8+Tvs4PgXhMj4nqig+4l4jPk+7IT5AxSw+zL5DPt8aQD5jbjg+k3A8PqmgQT6tyC4+SvkvPiR0PD7PqkM+/UQ7PjzLLj6PWTM+9pQ8PqOORD6UQDs+4yRCPqUPcj4IdXU+GK5mPnNoYT4XGmA+9d9XPkGYOz7zGSc+tI9ZPsMvaT4S3l4+fnRPPrmzSj5BkTY+2MExPpCdNT45yDU+k+ouPvFPJj4h2TM+Wx8zPiQ+PD6E2Es+A4FRPspCYD6q9oM+KcxRPvloOD5AFkY+RSZLPgUcTT6mYE8++804Pn/XNj66cjs+0e43PidZNT7yojw+i2A/PoM8SD62n0c+UEE9PpiOOz5adDo+OKc8Po+0LD6kTCQ+ziQoPgryJT6y4iI+SuUvPumaNT4niDk+wUQ/PsPwOT47vTc+dpw4PivqNz6AqCw+EdwtPuB9Kz4cQzI+PQ05PpNILT7oGC0+8b47Pjj0OD76ljQ+kzM3PvIOPT6ZNzQ+G/sqPsv5LD4TsSE+DNMgPuRNQD6B5VI+/ClKPqo2Pj5pZjw+mGw1PhD8Hz6p6Eo+6PRBPotLLz4OJCI+bMkbPmC/OT5NyDc+YokfPq+TLD6YmTE+U+Y4Pg3ELT4YYTE+De44PkGDLz5yYC4+cPkqPn98KT5BPSs++ZwyPnYdOz7z2zI+FUgzPtyPMT5tmRY+yxArPtplPD6MWi8+voQ6PpHMPj41wDY+72E6Pnl+Lz6UviQ+/OVNPo1zcj6uPnM+16RhPvC+Oj4yKDM+CLQ+PvniOD7ScDo+84YxPpFhJT41Zy4+zCsXPrL6IT76yjQ+/xU1PkFMKD7FYRg+qhsJPg6h/j11Nh0+nL8VPjWBCD79fww+igcPPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/eBqQPX6ogz3iGog9Y1SMPQm6jT3SgIY9+mKFPS8Xdj37B3M93jqEPVEBhT0wGms9Jx5VPQk8Pj1ZpjE9tVY1PUFaRT33P009aUNUPd5pTD0+mVI9wXtTPYZPSD2HaUQ90GNRPWGKaT0gMoM9yN+GPS8QgT1XA3Q9/yxbPb/tWz2mZlw9P8hbPfBeZD1oHUk9x9dHPXHOTT1mk1I9j7VnPU9Eaj20g1Y9JXhWPWwyWj2csmY9mzuCPdREgz2UIWg9O6FmPXLFXz1tmVA9HLlWPSznYD1P/3E94F1yPd/7bT11OXU9F5R+PdZIfD1cKnE9+QJ4PaYsbj02FlY9soBFPVBqSz2WN1I9v5FUPfCAXT0e5V09JPZiPdf+ZD1ItnA9hA9hPZvsYj1eCGY9T0FPPeGZTT2qtVQ9yp5ZPXAqXT0TO109+phOPVrHVD2bTYE9h/aGPeQ7hz0GL4k9c1OQPaPTej2yink9aRl8PcAJgD0VbHo9kAB7PYwkgD1giHM9/bpZPTwWVz16aVw9ji5XPfuSRT3O5Eo9I/VMPcr9WT0oQWA9I6pfPWEjXT0lJWM9r2dmPV3ZZT1Om1U9HOVVPZIEWz3J91w9CW5UPQrLSj09q0I9qFRWPe95WT0IGGA9j0xpPf0aZj0VGFc9hktIPbmfSj2rBVM9vrZMPZf2Qj0udVE99qtwPSy0gj3NN4M9PQR2PVW4XT2VqkE9aHM3PUIKPD1jyDo94PMwPWZmPz1+p1A92MRSPe4VRz3jO0w9V6JYPfAAVz1kO009nhdDPQN+SD1Wnkk9UQtEPRSjPT2vtUI9buRJPftKVj0RwFo9+tFSPVoBSD1toz89vJk+PbE1Sj3byUE9kj89PetJOj1ZtkY9eZdhPcjNWj1o+jo9geQxPSkiJT0zACw9i/Q+PV/jQD1i7jM9XugtPVlCJz0MEyc9RiQYPSmqFT3dIxE9qjsRPer0Ej2evB89puofPSUEFz3FXxE9haAKPcxUCT3qIQQ9+WriPHrwujznCrM8X+HEPBPDwzxnack8pY7ZPLMa7DxLpfQ86B7ePCWjDD3Yyjw9CpmQPYD0TT0oqYQ9HaIqPlC5Lz5yljE+XT83PgxkOz6czjE+LjZAPg3nTT7Akz8+BoU5PkN5ND4OfC8++VgyPgPQNj4bHD8+EDBBPrJiOT4+ujg+ZSg8PgFRNz7sl1M+fmViPjMHcT7ST2U+SX5tPtJOUz52xD8+p8VKPlztVj7KkjI+z/49Pju2dj4jJXo+NvlkPmxlST7Jl0Y+AzYzPnJ1KT7CuyI+AiQnPgSJKT7lyi0+qj45PuO6OD4NYEU+E6xDPt+RQT5n0UQ+kIpTPhC9Pj4yXTk+SoRMPpbaVD6XZFs+UgppPr8DTD7jhT0+hUhCPtJ/LD6wQyo+BXIyPnQiMj79vy8+n/stPoB1QT7yukA+SowwPkyTLD6zjSI+FDcnPlVMMz7LCTc+qMs0PiAYMD6EczM+NFs0Pp/vOD7Kkzg+rjA2Pn23MD6TMDA+rDM9PjfANj5xHTQ+eEkyPkJAMT6AmTE+GJU2PvrWPj6BND8+38w4PivuND6NEjc+wQEwPlrXLD69JjI+XBEvPqg7Lz7y0Fc+NRtoPjkQSj6EUTU+cWw1PkejMj4klCM+16w9PtC+XT5TDTo+AUkoPt4fJD4myzE+hBNHPqbuMD6Mey0+Hj4uPsmaKj4Z+iA+iNccPtt4KT5qVyg+rWcyPqBlPj7iOj8+kUUoPgY4Kj6kFDY+J3QyPk3PKD7xQCU+Jpg2PrkeND6CuSw+wSUwPkx3LD6FfzE+avoxPswcNT7pZR4++RQXPpkRJD62Jzw++wdGPmwAXz5oSz4+AL0tPhcrKD6ECSg+NCkqPhjtJD7H0Rc+gbobPh0QGD7tcxY+5/MUPiqiFj7WTBY+9PIPPuwBAz7VkP09sKkFPrZ4Aj5T3PE9djEEPjfACT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf12PlD2oK4o9qf+YPQ6klj2w7I89VFaKPewOfj16mWQ9KRuAPS8+hz2rBXU9/IxePd7XQj0FCjI9aho4PSszRT0gNUk964JJPa11Sj2ejmc9qMJ9PTbmcT1+TGQ9RYlePQ9FVD3w3Vg9lVtzPfx2ez0KfnI9GkxkPRiiYj3xl2Y9h3Z1PWBOdz0GR349ivpwPcoLbT3hrmA9HDNcPdmMYz3+tmo97P1nPW5vcz3ehHc9lEmCPXKsgz05CGc9idhQPUDzRz2HlEg9qolTPUBgZT0Pb3I9nC6HPUHKez05lHI9n0BkPZ/IbT1Pinw97LFfPRMTVj2Nb1E99O9LPQo8WT2VNmw9MphjPYR9dD1Rm4A9ct98PX/wcT1EvXU96+Z+PZndZz2OZFk9VwdbPe25Vz13oFU9J9FMPUtlTz1HH1s9ZP5fPfAtZz0FAmM9xHeAPbwBkj0404o9GMyCPcl3fj25m4A9U7iHPVMfij2E8YM9UWJ0PaoNcD19dnw9/txePct6WD139GQ9jPlpPemIaT2NlVk9tctcPbCBeD1PxoU9r+KEPRt3dD0S0Wg9/6RqPVvNXD2jFE49x9VGPd0LTz1L+Uw98HtFPfrORD2iyUE9zgVHPakOVz0gxF09VL1fPWpvSj1nn0M9K05SPTfkUz0a31I94D9IPboTRT2tmks96N5VPUlDZT0NEnc9YYBtPSIEVT3Blkk9eKtGPYdWTz37hkQ9undGPXlbRT0eO009vqtjPRpraT2vsVY9dHhPPatoSD1gY0A9kd9HPd5CTj3/Yko9qtlJPRJSUT2mIFs9qvhsPSZ/Yj3EqGM9Cv9oPTkVZD2KvFU9g+QzPf2XND0MuDU9KMIwPQBXMD20aD091+dTPehDUj2H7To93BguPQP4Kz1ImyU90n8oPcX2Lj1oqSg9cCMuPR34KT11sic9uPYkPbobGD2hbxY9J9YaPXqvIj1OhiQ9sLQoPZuiIT3QOws9cEXxPJO6BD29tvk8uavrPJ6KujwMkqk8UvezPBIC3DyM4+k8qNLtPOvB6Dx4Tuk8bZIpPf6eLj2lENU8kWDJPD1v9jxGZzU9sKK5PedQUD7PdzM+wV03PrNIMz6taSs+q3ktPkUnMj6jKzc+YdwtPoN1Mj7gLTo+KRI5PtrpOz7oiT4+oTZGPjcnQz53fEI+9yA+PnlzMT60pDE+V3p2PngQjj7i5n0+IAhRPhYbUz5tEj0+fZM0Pv1KQD6gaE0+oec0PqBRSj5DVmw+OEtQPh/NQj47hj8+g6g+PqcCOz4soUg+rsdFPnXtPD4yDjc+1xY3PkUXNz6UTiM+vytBPvZZUz6KQ1Q+xhFDPvluSz4y/jQ+i1Y0Po4+RD7dolM+T3hYPgjOYT4xXUE+bRU8Phj/Nz6Tvyc+NhomPrvVKj4vBDA+LL8yPm+PNz4K4zs+5T8zPqHhLz65pik+jUQkPi2JLj55sjc+9SxAPvZLPT520T0+UGRCPrnYMj7SIDY+bFQtPl1qLD50GC0+KEg2Pr95QT61Hjo+Xck0PgRAMj46ozo+tqA4PjJtOj434jc+juA/PiEVOj7q9jo+Tc05PjTFOT7aaSs+PSpAPvTdQT44/Ds+CJYyPgk4MT7gnkQ+GYc2PsbpOj6N0Uc+h4RBPj5AOj4AhWk+ZCY+PjYDMD7vyi8+Fj4oPj1POz5FLjM+skUxPuBKND66dzc+dnc5Pvm5Lz5dYSw+myouPo9jNT6WFDI+ueAuPp+KKT6bwyg+1Pc8PjvVMj7QEiM+aHojPv3eKD7fxDc+crEyPmQyNz44ijI+pKokPmhgJD516yo+WugpPqbdJT5sfhs+C+E/PpTmRD6H0FI+3Z1hPjsGRD4NNCg+88owPguuQj7z4z4+1sAsPi/JIT7I8CU+Wzc1PhG9Ez7P5xU+zGgdPlOvGD6xQAI+80wVPs/6BT7KDQo+mEsWPmgEOD6dgEI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/cCIs926GCPcfjez3OoGo9Pu1tPeiHbj1td3w9ofqHPW6Ahz2gy3c9xCtlPSRWXz3pn0490p1JPYYsSz12iFw9lrBkPUTMYj1NgGI9eNdnPYlxfj1gL3o9je1dPRyRUj3/VFA9K2BLPTACTT3X70M9/QpJPRxhZD0nC2w9NUh8PZrigj08Q4U9AZGEPSBnfT3emm89y3hcPT+UWT1F6IA9TlWJPfZVgj0FoHY9Ei9wPUohaD1It2M9KMpUPbzaVT06s3E9xI52PaLrcz35o2w9Ayh3PTZPbz1nrWk9IFtpPceGZz0UkF49UnxQPQGONj2TclI9VY9aPfi/WD2L8WY9E3N/PTKVdT1e0G09v3FnPYW+Yz1VKmw9lf1rPe+6aD2lLVw9K9BYPe0RTz0OeUw9t6hUPVi0Tj1vdUw9dYJuPTrJgT2et3c9C9CCPS41jj2bzIw9P5GKPd6ZiD3ZFYk9HGiUPckWlT2Z8ZU9N6mJPcqldD1kDmw9vyhgPWMrVj3A9k89HixXPTzwXz0oF109zHNZPSjrXj2YSmc95p95Pf/xcj23/Ww9BZZ0PRHcXT2VC0o9CG5DPdQgPz0ook49bWpPPWn3Sz3T0ko9PltVPSvhWD3f1lg9H09mPTx7WT2n7jY9hhsyPZV7Tj17rFI9TJNnPWXOZD3oxFQ9kXtRPZD4Xj2P5149ylhUPeNiUD1lPko93CpQPe1DUz3t/GE96QxmPYKOaj2it2c9AUxsPZTlZz3M80w9nBA8PXs2Nj1l7DA9iy8qPbADQT2Gn1I9k1FJPYFLUT0rMV893z9wPaZldj3leXg9qmdzPe0NWD3D0ko9N2w8PSWYLT3CkTY9RcQzPUoaLT1CWi493uA2PeL3PD2s1zo9dFcyPZPnKj2fVSY9bQMlPd6GJT1KzCc9oNIsPd1oMz1l6Dg9ZkA6PQknOD1y6Cs9+bodPaBmJz3kpzs9kxcwPapvMj1P8Sc9IS4MPcjH4jzrNtE8gkm4POuDszxqP6k8FZ+5PHHRvzzY8uM83pbIPNuV4DwZMjQ9sQ3LPXK4Nj4R0Us+uFfUPX6FlD1YUNg9qT83PuObRD5sP0A+1+shPkYMKz7Tyis+x/4iPoUbNT6Yxjs+xfFGPkzpOj6llT8+CFVNPn8AQT6VSUE+zthCPoRHTj50208+qxVFPoCAQj4n+UI+oD9LPpFxbz6mp3A+7U5PPpuTNj5PEUU+TvQ+Pjm3NT7t/Ts+PR5DPm0jTj5JR1w+wChLPin7PD6wzUc+XIdJPrncSz789z0+s+k7Pg+TND6Y0Cc+fXglPlrdKD7qKzk+++E+Pl1DRT7Z3zo+QKRCPh0JSD766lI+gKA8PsH+RT7mNVg+SQJKPvgeST4iyVQ+blxBPi2/Rz5q4j0+12Y2PotBPD5pkjo+ho40Pji9Nj6JyDk+dJg4PgIuNj5FPDI+/80mPifNLD7HVzo+cPYtPjv0Jj4jTS8+fCU/PnHUNT4Y0DE+Whs6Pm0YPD7lCDU+iZUqPnMsLz7z3UE++3E1PqIiMj6oMDk+heE4PtPRNz5qLUE+x10pPmaiOj46ljo+LMQ2PvQUOT7Wd0Q+GRdCPhS2PT43zys+HAAsPlMRLD5fCTY+ihBYPgn6UT6Ntko+iABMPpypNj6+KTU+QWVpPo86RD5QkjQ+3GApPk75Jj6YvCg+eqYsPpbjNj5xTkA+0blAPkjWPz6ibDU+mCpBPu5sSj5Dkjc+je01PtgFOD7/Tj0+eaErPsUXMT7RY0E+l7NOPqdWLD52rSk+UeM3PoslLj6C3Sg+S7MnPlZbRz5q0Ek+0SY7PnHGLD6HDic+UXAwPhk3OD7wNj0+SWROPpGWaT7d71I+bpUsPmmzOj6UmDI+tIctPrcrKz4OBCY+nD8yPm/sMz62xh4+14AwPoQOST7IDCc+slwkPvGjQz6VlBI+5SIaPvtHHT4T1yQ+FvMmPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/H8qPPYjudD2W2mw9pYp9PWyDej090HU9k457Pf3Ghz0vb4g9J6WAPbRDZz39X1M9HNJKPZrIXD2TJF097dZoPUgRcT3z2Vk9jkBaPVjZdT1Nq3M9/y5sPfYMYz3KM0s9COtEPRp/OT1HykA9JIdIPeKfSD38KFc9Bw5vPc93bj0NHGU9F8haPaFZWT3oSXc9VLR2PQUwdj3i8nY9XRR5PW2Xbz10uWo9s4VdPXgsXj2WpFk9n9hfPZ2xdj2cQoM9NWaXPUBTkj2fR4s9WGqJPY+1iT18ynQ9uXlgPTA3Uj0r/0g9CGhCPVgSUz3VLkk9SYdEPV7IVj365lg9NzpdPUjjgj3B8oM9y3mPPV2TmD0IOpk9moWEPRf2aD31nGA9EQRpPYi0Yz1HeWc90dNqPRGsYT0W01g9qSBzPS5mhT1KC4k9vgiJPUQWij2o85c9JwKXPSyNjj33HYs9v7iKPeaCnT31Roc9g3R3PVFKZD3WgVI9oq9FPSBpRD3WN0I9KcpMPTPIUj2uQVg9xFVcPXwEYD3kXWk9vs1hPZp3Vj3HSko9P0w/PWBHQj2pyk49EC5FPZteNj3FxEg91HJaPSWwWj1xNVg9pNpSPQKcST1IpUo9DSA9PekBPT1hvT89/JtBPXqeQT0KG0I9uitTPfsKWj1Ny1g9ddNKPTLdTT0082U91elpPfr4VD26mFc9N/xYPbHwTD0TuGE9F29ePSiicz26nIE9P6xwPcDVVD1e2E49XA1CPciMMj0kSTQ9laQ3PXtHPj3IrVE9TdliPSGGcD1C33I9PDR1PRgXbj0iV2k9A2lgPVF5MD123Sc9SCQwPRh6Pj1nxjw9F1A0PSsjPj3sYDs90lk1PQ3GND1VrTA9b40rPf7oGD0uMhk9IhIfPZJ9ID3VGCk9rG82PTj+Oj1XoDg9CC0qPS3eJz3XxCg9ZPkmPRyTMz3C1lk9FXtfPe+YTz3gMFE9ArFHPSHcDj3MStM86We2PENklzyAhpM8ZbyLPKT0jjx5lpU8W1+pPAcj9DxbDVs9zV3fPWQHZz7/AVc++lIqPkRSJz4R4Dk+Wzo3PrbMKT7uAyE+V7AmPhahMT6Sijg+hCY4PjncPD5vz0k+jLdFPgTwPD6nIzw+ZHlHPu29Rz5XKDU+BgdBPnLHVj5Gv0U+Q7Q0PtCiPT5GUVo+KVtDPjbfQD5M0y0+kWk5PpTZSD7eMEw+hk0+PtP4KD4dLTM+0BwwPorZLD50KUc+NdtLPhAKWj4vnUs+T0o2Pp56Mj6oYj8+js44PvF4Nj7W1yY+OSIvPnqZNj6beTQ+D80tPtpjMz4ctUg+L0xBPjynQT7ylUQ+ah5WPofvWz4LBkc+DWJRPh+vVz6aZFY+VMtWPqO+SD58kjA+6GEzPiHuOz64Oz0+TT88Ph56PT43/Dk+uoE4PtxEQj6kyTg+rl81PqUDLT7kQiw+A5YwPuQKMT4P1ic+fd4vPjnCMT5mrDI+YiU0Pj1oMj7QnkQ+/Y01Ph3+LD7ABTI+xXw2PovSKT4wzSc+BPosPsiaLj5+cCk+p24wPj2SIj4KVzM+GTY5PhSjMz7y+C4+2Yc3Pj5HRT6Cgjg+Q+gjPucIGD5y9yA+JpI3PnGfMD7VciY+KVM7Pk3MNj7QUi0+Ia4qPlAiRT6h0jE+zQIzPgYBOD5J2DY+ZXsxPqYhID4nSSc+wi43PuLtLj4ALCc+9RgqPp/UNj4SRk8+QiBBPkghLT6UkiM+rXkkPiOFLz7QDC0+4Wk+PlEhUD7bHUc+Gtg4PjDMIT4tJyY+NTc3PuUmUT6ct2w+eAhPPkxjOD4GUD4+wlMyPmoWPT5PEGA++zg5Pt5nMj5kiS8+AoI6PqD9ND6WSSc+UagpPm1+LD5sIzQ+oK8vPv/hNz7w0ic+09VCPv02TD6Z0zQ+TjE4PvJbND7T7yM++D4pPsNTJj72nSE+B0EWPtETEz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzkpaj0JMGk9T8qBPcTciz1Syo49bPGRPZ2bkT32xYU9i4xyPdOydj2gtmc94j9kPfNYZj3W03I9B/B9PRDwdT3t+l09bl5GPUdUTT2CZWA92YJgPdfEUT1VBU892pJgPWAaZT0w6mE9fCFZPVrJYD06D189B2JMPdQkSD3h1k09SSJaPVr/Xj2pTGE9diBrPUiwZT3YpGM9YKRlPfM9Vz2sbFc9GpZoPQw1eD1T82E9zyFgPYrldj2r5Yc9Jt6IPchxeD1Cm1Y9g1xjPdZTdD3+yWs9hHBvPXhlXz2ozk09y2NMPcfKRD3R/kw9skNXPbLrWD3nPmU9Q4lsPW1JgD3mLYg9Uf2HPaZdgz0o/YI9ooWBPWzCgj3/V3I9lWlgPen7cj2iN4Q94kN+PT8edz0BxGY9phVsPUXqgD2cl4Q9ChmMPaTHkD0nK5Y9ZKecPZQ1jz0giX09ob9vPYC7Yz2Z8Vs9qBJrPaQjdT1yQ3Q9kDp2PVgAVT0f5lA9/GhKPYnnNj1ZGEA9m+hlPQ+KdD163XE9KNdqPX1rVT3Xv0E9jBBLPcaxRz2+akg9vIZJPR4QQz1BgDw9r6FOPcrMWz3tDm09J2ZnPYFqYD1w3W49pT5sPVQQRz2pJVE9ck9OPeBsSj3J3EU9h7w0PaLXPD0DBlQ91ItfPZSxaT0uh3E91XdlPZdtWD1py1Q9UntUPe7qUz1LBUw9NIVbPZY7ZD0RVVk9ehlEPRgbNz0Y6DQ9XY1KPSj2RT2uekY96elPPadzVD1LW189zwRVPcWoZj1dKHE9iWZqPSjcaj0s6ms9bapHPQtGND0QqC89MW05PZBgQj02M0Q9GIdLPeOsSj1vClA9AgpNPZ1jPD38BDc9mwckPVgWHT33fhU9jl0TPanoJj0q8Sw92u83PQVSQT0CRy4978ITPZzOEz35FiQ9YBMlPRcrOD1EDog98fPOPcJ5Gz5Fkjw+DwZEPkdQSj77ayc+d6OzPaCgzDw8LXo80317PAEJiDxFsKc8e5S3PKhR2Dwi45A9/CrmPcF1Mj5/GYI+2gVCPh3hID6tFyk+PH8zPmbiKD5/6CI+Tqo4PnmNRz5S5zQ+064xPlyENz5ySz4+Ys1FPucZTz6lWkI+WBM5PpZOND7EdjU+BINAPqFeRj4YdkM+ONAyPg9nKD66KD0+bdVcPrzmQD5sXlM+NxpVPkNVQj4xEDs+V4AwPqclHT4JsSg+Qng3PveyOT5/YDs+/CRCPvkVZz6XFVE+y9NaPi4qVD7CO0U+Or5APnT1OT5yyzg+/+g0PrP3QD4ZtzU+kQguPtdtIz4a0DY+HP0zPhHjKD6wbzk+nWNEPlpdTT52VDw+4Vk1PkRGPz6mvTk+czJIPlzlSj7LqEE+NyosPkkdLj6T6D8+WJBFPrx+Rj4WsEQ+U/hEPrD5Nz49HDc+JKVAPm6OOT4IPjQ+hLsrPvFfMT6IdDw+7mlIPpB9PT6xxTA+qMcaPv4xGD5Wczw+Rf8+PgK7Nj4l2Dc+txw2PkbUQD53Wzw+UJYpPqKgND5yAS4+MtcwPiWaKj4i4Cg+GHsvPlliNz622jE+BoQ5PjusPD4RlEE+aRM7PvzYLz52rCo+0lskPoJIKz7Tui4+1/U9PtDRMz6TrSY+6hImPverLT7mFio+Sss8PsrnPz7Pizc+jeUyPgEtFT7vszk+afw2PpCjJT6BrSc+0oIXPjndFD4XCxg+GF8iPoOdJD5JBRw+5kj1PazK6D1RDfw9Ow8lPgLxOD4a7Tc+/M1BPpJVRD6mUU8+byVMPqz5Pz5s4kM+gxw+PpSnOT5bwz8+dshVPijRSD7qMT0+zZg9PgNtPj4Zxzo+vpsoPu33Kz6kmTQ+YxMtPgFeKT6jNS4+bZsrPuZgKD5KQSY+0GQnPhKfNz5jtS4+5/UtPr1TNz6sVDM+tSw+PoAbNz5g+DQ+PVszPn+aMz52OjQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8TZrj326qI97xByPbWwfj1RFpM9SPGXPWUPjD3bQIc9AIZyPRQtej0znnQ9yzZjPUIVYj04jVw9OV9iPV4FYT2dGFA9NYJJPfDyRT1YtUk93DBRPbsdYj1hwF09MuZlPVLqbj2xOGU96bxePSk8Tj2rrVI9/NZkPXtOdD1fZ3w9RCN2PQFhbT2RKWE9CudsPZuicz1Pvmk9qo1dPXpyXD3AIFk99RphPf5cgT0buYc9EDqBPSRGcz1cJ4A97IWIPbPEgD0ieGY9PJBYPXtlWj1myGQ90lZiPbVlbz3FrWA9+PJMPQ8mQD24DkI9NmBNPSYrWT0yKHo9GHp9PdLscz3tqHU9tXV9Pbknkj24BZU9xYZ6PSYxYD1lzF89lxVlPe11cz2FtoY9tq95Par7Zz1aHmI9gfZmPY7zdz15Bn49PC18PTmQfj38BI09FkOQPePnkD3UnIc9zM1/PfL4Zz2DFWI90elkPSZweD2Bbnk9NQZmPdGhVj0fI049PqNMPTHPQT2UW0A9o3VQPX8BZT1Fkm09ADtYPYtzUj1HIEo9iwBWPSxJVT1bDks94phFPX6JQz0MkT49orc/PbyAWj0XBHI9NW5wPWKncj0fZW49TtVnPQ7zbD26a1o9uPFLPS7UTT3kG109bUddPZbeUT1I61M9ja1hPUNAYz112GU9SuRsPc6SWz0f2jo99mZDPcPFUT1V0lU92DVKPU46Tz3rY1w9Ud5OPVNzPj1o1TU92t07PfAdQD2EeFI9zvdhPXU2WT0rZ1E9R+lePZo2Xj3CeWk9JXFePSt1Sj0Tij89K807PUDiPz3bA1I9+1tRPbvnVz1Iblc9jI1TPXk7Pz2xvzs9G5k2PbyrKj3cgC49KrYxPf4dMD27cSk9ohMpPc8qJD3tNVM99JpOPTFVRz1oMyg9988NPdO7DT3PNxs9zroaPUv8HD19Lyo9Hww9PcKGqT1t2yE+VVFQPnkmLz47KCc+tZ4mPgBM8j3YIBQ9kUSZPDWPoDyl/sc847cuPaZSqj0sCRE+mY9WPhQvOz7hqjQ+tiIjPioKHT4aCho+Jg0ePptHKz4+dDc+sPE8PrjXQj6ENF4+8E1QPjb5ND6MCSE+ZzooPrBHQD6491c+RcBYPkJ1SD46yz8+nrRCPvXePj7uwTw+9+tCPsOpMT4aqUM+52pRPto3Qj6cJUU+mZtWPs3gTT4jHEM+Q64/PtBlKT549i0+SvAzPm65Kj5hxDY+wVg8PvdaPD4xxEc+kwhNPlPXUT6x01E+oNdHPqgiQj7AmjQ+W3IlPuVrKT68GTo+J2YyPpruLD5z3iE+mAowPmY6Mz60xSI+FVEkPgpWPj6yZDw+SZ4xPl2HTT5kTGA+FIxFPr55PT6O/T4+hy89PprpOT4WyEA+Kp00Pv+VOT6QQD0+ZjU5PuWhNz7byz0+IPg/PolPQT4DBjE+Z60zPpkROT77KjY+SIM2PmmBPT7t/TM+ZzkpPvdgHj7UDSc+h3NCPoznMD4EdiY+PNUwPkl7NT4go1E+fNAxPhMCKT6H8jk+Vxk+PkuNOD75wCw+fUsuPigIMz6C7UM+LypBPlQuOT7uOSk+9Ek2Pg7cLD6KEyU+XFIgPpNaHj7HiAk+tO8JPsmjFj6vRCc+olkvPpq1MT4vji4+/+4gPsNeMD7jATE+wcA6PuNkQj60wz0+ig5FPvzbSz77iUU+mL5DPta1UT7x2lM+5VhBPoUyNT4uvT4+tYQ2Pug/Lz5pTC0+9Z4iPhppIT7NFSg+svkdPqgXHz6PnyA+D68iPgz7JT6MhSQ+kWIlPqiBIT4bHyA+oQYqPoS8ST5pLVM+05lMPv9VPT7apj8+EC9BPt1qNT72EDA+tuc7PoTjLT7qty4+5rwzPgBSLz5jLis+bCYmPi4oIj4loi4+DgMuPoVCKD75byk+FZ4xPpfENz5hxiI+r88sPgL4MT6qVCw+aQMqPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/xEro90gm3PeztjT2Q0YU9r4uHPeDngj2ea3I9HY9sPQfvaj06k3c9UHpzPUzfbD1DZGk97oFnPX9XYT03YlA97+NQPVJPUj3QKlg9l5pOPUvqUz03nWc9ZsJqPbYbXT0Gj149ce9rPXBTbj2gQ2s9uBNqPWrQdj1GJXU9jHh0PcCzhD26CIM9DHp7PS6TfT2AgoY9FKd/PQ48dD3KQGs9ndFkPUtXcD3oPIQ9kxaBPSSgcz0Hw3I9Z8R0PVZlZT0W6H09g/qRPXWngT0OQHI9KJt7PTRVeD1AZnM9KqVwPWLtbD1keG09mVpoPdN+bT14hXc9HhWBPXxRdT3cank9OFB6PTFhgD1VrXM9L1hfPUC5Xz2XqGk94nprPXFAgT2k44M9hcSKPYyegj3t+X499AN3PTrheT3sDos98QOJPUvNgj1yMIA9Z9WMPc2+jj2RCY49gPSUPeWoiz0yZn49gL58PYRGdz22amA99HZZPU49TT0/sU89eIVKPQ9zPD1doz89LidRPYK+aT3M8m49C2t6PWO6cz0ZzGs9tsdVPTxOTj36AUo97bRRPfMqWz3zEFo9dalTPQlFWD3/ync9bJ6FPUT2aj09O2M9FBdhPZbeXT1DWGM9lwNbPdYrZj1WP3I9fRx/PQlvdT2O3Vw9Ky9PPVuQWT2lwFw9WJxYPbcYTT0WIT89bfY7PXJrQz2J71k9UGJbPeyaTz34zT89btIwPYbCLT3why89qCszPclOQT30UUo9mQlkPbqeZT3Xr2E9FthjPaTEZT1+kHY9mspwPYCYZT0KyF89179WPc3WUj2uL049ym5RPZ4ZVj1LaF49YEFLPTqTPT2+Cy89KPYsPbZeKD35OSY9XA0pPbQyNT1mNDc9HqM7PW3wPj2NwFs9CsiCPYV3Rz2f4Ts9hQ8rPQvQIT39cR09/tsrPTJ6ND1jHCk9+rUlPaWBDj3BVWk9ZNsUPv8dQT4ZryE+UscaPjLjFj45PRY+svICPquNCT5LUhA+mn4OPhV3ET4NLy8+ieglPqtgLj6ZYyI+1dokPknYJj4zpyk+KQIhPlI4ID4qnSo+u1wyPtf7Pj6T20U+lG9SPvx1Sz6kzSw+i/kcPr4TIz5BOzU+S5JPPqleYT6rYUk+PlBEPh63Qz56lUM+vIhPPnAfTT6St0A+0SY6PkWBNj4LVjc++qsnPuTbPT7SNEI+PpxXPncvVj437Uc+YTNuPsCtYD7n+UI+bZ81PrB8PT6eCUM+gA9WPr74VD7+mVM+y+lAPlxyLT6u0Co+0LItPio3Jz4C8yc+k/UrPk7dIz6p+C0+nOksPg9wJj7kAyo+SM02Pr0oRj5JH0w+ugZLPnllQz6v2T0+ZTQ1PtZlMT6m7UU+N+VKPqP0Sj4ovzg+kik1PnGRKj6/0zU+VCJDPr7xQD4FTzg+93YoPor+ID46QzM+pMY3Po5eOT40ujQ+ACssPqNaLD5ggyo+vKQvPltELj5kOy4+Gas5PivcQj5AmDE+IVooPiz2LD7UejU+NVBHPiAANj4Boy0+BbkvPhHtLz57FDY+g847PlMBNT7K4S4+mTUqPpOmJT7zBig+CL48PrqYOj7MMjA+JNssPo0ZET5Pru896hzGPTRx3z0LkSA+MBdRPt5sQT5aKDU+RDAuPsGuJz5Ugh0+GBcsPqSjRz6RtD4+dLU5PnGQSD5TlV0+B51EPoELRz58sEY+6e5EPkVwOD7uVzU+TdA5Phx8NT77Iyc+8LkmPhhTKj6pqyw+tcYpPmceLz7Mpi0+alI4PpAkOT4Dk0E+g/E/PjZTJT4D7Bk+x3AYPpjNGj4s6yU+ggYtPkiPKz5gCCw+LBs0PqXxNT56GC4+tXkrPk7gLD43ORM+Nn0bPpjmJz5dCio+MW0tPh+3OT7vkyU+ygUmPnAEKD4aXR4+cAUWPv3lHD5CmiA++EsbPi70Gj5hmxs+2JYiPnx6JT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/NCeRPb7Lij0LAoI9w5x1PbbUfT0yZ2U9d6drPbMOdD0aJ3U9Oal4Pe26gj3mtIE9Q8V+PR4WfD1Cw3Y9sOpvPYtwgj1jEHA9iXllPSdvYj10DFY90xVdPUNwYT0zUE49bVhoPZdYkj1owps9b6OWPavviD2Qh4E93gFxPfuEZj2O6mw9A/tyPWQzbT1XoGc9tbd5PSyCfD0yuH09BFaEPV/lgT3u5G09zuF4PSX7cj1YL1099sVfPUGDbj2j0mg9LLpxPStHiD1ls4U9ReWFPde/iT2bEX094LZ8PU/3gj1/3G89AAxlPSvnZT2UeX49ZSaSPcnweT0cQ2A92TVZPe31Vz3AqEw9/wlVPcqOYz1Uan49CTGGPePgiD15Uow9XC+MPRtugj1544M9TSKAPdPlcD0s+2w9gI5hPQ6ZZz2RZXU9lVd0PdfvjD2CSZE9alqSPZ2TjD2ULYs91zR/PTTucj2rxWc9731pPa6lXD3QjkU9r+RMPcm8TD1Mhj09XO5EPfX7Yj3fDXw9iUyOPbDniz0rfoU9X+F2PVa2ZD0GKFU9IYRGPT0fWD2Helo9kx9hPYqGZz1brHY95Bp1PTQDbT2Txlo98E9UPatAVj3SO1M9e+1XPfMyVD33NWg9pt1vPTslbD38OVo9afxRPceBWT2IUlY9+FI/PVsLOT1RakE9Jr9SPeamVT2OpF89vtF2Pf3OcD1wDlI9GfM2PWTMLj3TrTQ9BUM8PdynPT2i/Tw9tVRLPSNuTz2V41A9jCtWPUStXj0NtGE9UC5vPeCQbD3NI3I9LpaDPbo7ij3xhIM98FF8PdvuYD2u9UY9kZw+PcFrPD11KzA97/osPSMIJz1a6Co9juIyPRytNT29HzE9o6g3PQWHcT2trLo9rmQXPuFkyz1i8109y6iEPabUaT1eOhU9Y2YOPb4KIz0fqic9RNohPWK5NT09Q7A9qR4hPlxZLT6y5R0+MmsVPp7yFD6rkBA+NzgUPrG0HT7j4BE+p+cVPkkRIz7KJSo+l7UyPq0CLD5dHSc+8acqPnUxLz4KgzA+SCMtPm7UKT4/GR0+DU4iPj9gLj6TJjk+Sw1GPmYoMz4vIDw+v9lAPhqJPD6BGzc+HNg8PqTpPj79GUU+axhAPvO2Nj66MjI+C24xPtFdOD5d0DU+05A2PqSYRD4KRD4+vF06Pki5Pz5Fzz4+/Ec+PoS+Uj6I5FM+w7BRPpNFWz5r7VQ+EKBGPtMBNz4UQUE+Dg9GPqLtSD4xSz0+Ahk+PofePD4vhi8+rtEyPqIrMz4gqSw+TlYmPkUEQT6scE8+ohRIPm0dQT4oIC0+5185PvjIRT47SlM+56hWPrHlUT6hzUk+7bNPPrm1Qj5E7DY+XydGPpojTz5DwkM+RbcuPuMbLz6dOiU+jGI0Ppj9OT6rqTo+je09Pki3Lj6U2yI+GrIwPnupOD593js+nHoyPph1Iz6LSyE+KOUgPhIvPz6nMkc+hGw5Pgw3QT6ZoEA+mn00PgetMD7Uwys+iD09PiMbRz5mkzc+FVQwPm1uMj6NNTA+cekzPhqZOz4iEkg+XlU9PlruND6yeSc+yhkkPtrbNz4zITk+Pm45Pqk3UD5eyEI+4/E0PrUfIj5o4go+GxYSPvRsOD4krDI+TXArPoglKz7mZyc+CDIrPvugLj7Tpzc+mXcyPon7Lj4qUCw+Bd00PjCXMz4ELzo+fSlAPv3iKz6kViU+qIg1Pn7TOz7wgCs+umZKPgEhXj5x61o+3alKPpcYPj73AzY+1+8bPkT6Gz7YmR8+HZgpPruxIT7Y0R8+Cy8qPusqIz57Jyk+7H4rPsqMIz5+bCU+Cl4rPpzvIz5sDCA++cAdPp7vIz701CY+3aIgPnTfHD5CIyQ+AycpPv4uJj5eCyo+H94yPuYMFz64Txk+MG0cPs1SGD7ujxY+93EbPsINIj6q9Rs+MA4YPnYCIz7aiic+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9iBaz0J31k9YhtYPa4oXj0VEnM93zGBPXkCeD3Mrmw9b5dzPRWcgT0iXYE9viuJPaqFjj2p2Yw92yCMPdQfjD0oAow97uuDPRHDcz17XFg9PgFQPZO6UD0aL1Q9UVhaPWSfcz1CcIU93UB5PcGsaT3kZmQ9UklXPUWjWD3Fn2U97LJdPZuJZD0dAWI9vv9uPQVGcD2clnw93MtqPUhLZD0VMWI9rrVdPbCcaj200F89i4dWPaxOXz1k+3A95jaBPY1PgD3eJYA9+NCQPdVulD2pNo09IBJ6PZeHgj3wjHI9VK53PaKQeT3tn209wfx1PSQWeT1Y6189M5lSPUS9ST3ERVM9AldXPZoMZj2idIE90rCIPexuiz3qtp09V/igPUQNkT3Bn4k9ZDSAPcfDZT19t1c90DFcPSaBXD0CeWg9F+d3PT5ghz32L5A97gCXPdRvkz35cYo99qqOPQB3jD0iioA9iLNsPfZ6Zj0ZfEk9Bbw/PRCGTz2hlEs9YDRjPR59cz0aYX09jj99PdBkkT1NZYc9hyRsPQnLWT3T5Vc9hLxbPWwRVj1/FlE96t1cPX+rZD1p2HI9QZR6PYwcaz1nCV09CThaPR1DRj193kE9vhtHPSLzVj3FpWE9GdFbPS6VWz2TRF09o5JYPdQFTj2/AUc9OS1EPYjxNz0oTD09fGVMPXEWUT0A9Eo9fyVLPWTbLj0ggTg9sx9BPUvUTj2UGUE9Wto9PfgVQD0dk0g9wRVLPbbcVD2hilk9d1paPawnWT0K/mE9ZvhzPUfUfT3Ytnk9ehJ4PZARgT3wv249lvNmPX+JZT2jVlE96sU2PfeCND1OJjM9Wf8lPaq2JD3k7ic9keAnPYP4OT3afUo9EDJDPc/TSj2xGnY9642BPd3DYz1a3VE9LMGZPdnSET7Cduw9At1qPeaxmT30VAE+rWYdPlFAFD58XBE+4lsdPs3fIz41XBw+rnkXPuNbGD4KdR8+3CEgPjiGHz7myh0+2YQgPlZFID7NHio+vM4oPvAxLj6tMTY+e5YqPm40MT442S8+bGQrPllCKT5CATE+2akiPr9eJz6f8y0+GwktPiphMD6nVzg+ods3Pje3PT6J7T8+CU0+PvwYPj4n+Uc+vQJNPkMNQz4F9TQ+ok41PnfDPD7amUA+qiglPgqXMT7K6EI+SXdGPn1lSj58VT8+o0dCPssAOD4vKEk+BndXPqaUVz6ypkE+2vNJPlEzQj4fYTw+klk2Pq7hOT4/Ajs+D4Q5PpFRMT4h0TI+uH01PrCRJT5zBSI+y9smPmKPQj70ZU0+sU9SPpjLOT4bLDg+Pnc+PurJQz5h7zw+o0QyPt9qRT4sPEI+ektBPsTXOT7c6jA+CssvPvrfND66gTU+38QvPmk0Lz4gMig+BY4mPmjTND4NIjc+e6c1PqbRNz6OPzs+JZo0Pl5oND6m1VI+nVKGPu+lcT7k5zw+a301Pg6nJz4MBTU+9bFOPrmYTT4UVTc+xrgzPhIXPz6TPkQ+4UdKPnZeVT5i+EU+ltQsPvPDPD6gBR0+vyMNPrd4HT6TeCc+suwrPlLUOz5i90Q+iCRTPpfNbj7dYWw+q4kxPq24Nj4PgkA+AA1IPvCiPD5hdzc+BwcxPtT4OD7m1Tw++to3Pux7MD7EoC4+7gYvPld/OD65Uz0+pGc7PsjUOj7Ukzs+lkNAPuI8KT65QiY+vbtFPhwJNT6+Biw+ljcnPvUqLT7uNEY+ZBAdPnxYPz5mXVM+DRBQPsA9Qj5z9TU+45AsPpUBJj5XmyA+sDcaPs/GHD6nCyI+d2IgPl7OPD7EQxs+roAXPsEWHD5CySM+MRMoPnhkJj7j6zA+AzUjPqZHJz4fpzg+sk4+Pi9/Oj6leRw+6EAoPgOwLz6mbS4+rlQoPnKQIz73GDA+log3PtNZQD4YfSo+maQpPjKJND6Pyig+lt8nPntkJT4S6S4+QtcyPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9Hyas97QWUPUjNgD1TG3Y9oWhnPZj3Zj1zA149cI1jPXBVfD0tGoM9VduHPYOwgj1Z8oE9iZZuPacKdz1tEYE9wRqHPUJngD19uWo9XV9wPVm+cz2x+mw9Iu1jPRcabT0Rqmk9FD9YPWnKWD1G8k89oadOPSUbRT03I1Y97x2CPRo8gz1aXnU9B2x+PXt4gD0zS2k9VtdpPZmMdz2+SXY9VdtuPcTJbj1/C3s9T9tsPRLNdD2iBYQ9S+mGPfR4gT0n/4E9fEKDPT2kdT3mkGA9NDhbPRl4VT36sl89xZFmPcINbz0o3Gk96Rt6PUwPgD3fHHM94HhfPWmAXz0szF49G2hTPaoBUT2+dGA9w8OBPUHDkz00NZE9BceIPYGhgT0hdXw9sH5gPbiGSz00DVU9RCBqPQetaD1G5mg9Y1lyPeFyfD0SVIU94uGPPepOkz172JM9+omTPQ2BkD1/cJA9FXV6PWqwYD36lWM9GLlSPdyfUj0crFw9ZO95PaxPjj1+k4k9zs2DPQyUej20ank9rY1yPbAKXz3KQ1I9CklZPd7eWT0qD1M9BFpZPSdaaj22q4M9jpGLPf4VgD1M/1899a1TPekxXT2y/YA9RG19PVR0fz3X5X49Au1lPQfFVT2GX1Y9CFRVPYvETz3cf0k9drtFPRtKOj3Zhj89Y2NLPfv0Tj3cq1Q9JppOPb0qOD2trjE9dQ86PejNOj19yzg92Ok2PTooPD2iCz89hJs5PbmzPD31FTs9PCxPPQOQcT2vUII9K1dtPd6Rcz2nCHk9QWp+PQ6gbT1uMFY9+QdNPbokTj108Uw9/gBDPaZmRz0BzEI9NBY3PTU6ND2tWSk9JWEnPW1DLz2IODk9+VA+PV0MQz152Vg9NgRSPV1AOz0D7zQ9e9VaPUS52T3KK8E9Vja5PY8A4z1O9CM+fyckPvrCFj4vyxQ+H3gVPigIGj7bMRs+vQwoPkUmMT7J9ig+NSkoPnJ+LT6IbjM+2tckPh8qKT6RNCw++yowPhZdIz6r2Sc+f1AzPmLHJz45MCc+NOYtPtfvLT6a3yc+H0UsPtEGKD4dcy0+AcsfPnHmKD5s5iw+pbU9PmyeNj6OCjw+BvREPqjaQj5DNUI+LyxQPk8XRj4v8UA+6L40PiQcPz4Xt0U+Bs1FPvk/TT537kM+c8k9Pv/ySj4uxVE+QJdLPnxyQz7sXk0++F5ZPlbCXT6WRl0+BdtaPrUwST6KGkQ+bQNEPiHWNz4RDTg+ow42PozjKD7c2To+8ldMPjgFMz5yAxM+VKUVPootNT67D1M+VlxmPnSRgD4Y9Ug+z4gsPr+1Lj7kCzk+k7c6PmclNT4r00E+KcYqPlPvKD7WUS4+T8s1PopGJz7mASE+OrIdPlURIj4wQy4+xdspPo6jIj491i0+yiQ2PvMfPT4DCTk+19svPqmmPz4XzEw+9MJZPokGbT58YWA+GiFaPhOnRz6iJDM+QDkyPnc+QD5pLEQ+Ecw0PiqGRD479kQ+RqdHPmftUD6ualQ+hUNVPsV5JT4+MBs+qTcxPmD8Gz5Fdwc+wOoNPgxYDT7Yvgw+MFg3Pk6tfz7Mbog+/ruDPqAoLj52aC4+IiNCPlBfTT6k3U0+FmFOPuElXT6vhUQ+aB05PsWHPz5aEDg+ZuE2PhWDRD4g7Do+3Po5PuunPD6c0C0+fQ43PuRWNT7AbCo+NhspPtJ/ND5CO0M+5OE+PhISPD6eJDM+NAAwPhKyIj6NrSE+cAsoPiguKj5BIi4+5fAxPlYQMj4QmCo+dcw2PooLNj4eBzU+lo0yPmL8Kj7Tz0A+llwoPtnmOT4WnDY+eYQvPgmEJj4v5y0+i0s1PslPKD5flx4+Eu8gPii0MD54ZCY+kOIwPsu/LD6rjCY+YEUuPrSYLT6O4SE+I5MkPgpvKj74xT4+z7QzPkJjKT4KcDE+tdUvPpc+KD6zvSo+7BMsPuwTLD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/fWCPPRH/gT34z3I9G/ltPXY1aj0fBnA9EcBtPVR5eD0w2309poGBPR89cz0K2kw9GPxRPRwbaz0y1n89/uKDPSL7ez1wKm09It9rPSUKUz357VA9hNpaPfY5WD1NZFc9JehhPTBCXD179Fg9SQtZPe5iXT3XEWA9a9BfPXCiZT3sM2U9nCtuPQNacz2Qv3A9cnF5PagScj1cX3o9UHl/PVPBgD0G1oE9VAKIPbW9hz0fG4U9G4+HPfyChz03YZE98LOFPRbCez14sW89IKppPYySZz00Gmc9gT9ZPTLtbD35FYA9sRWCPe1Ijz1hi5I9Hq+EPXNNYz1I5149K/9dPUQOYj3thm09snF1PewvhD1IR4Y9VQKDPSTRXz1LsEY9midFPSqERD30wVM9DFFnPbv7bT0pIXA9fBd0PefKgj3BMn89fqKAPdB6lj0pxKo9domcPeyJmD0WjYk9y7xzPVx+VT2sqUU9/5xKPbcHUT2wxGw9MwiEPcqbgj2nt4c97hB5PbEbdD28jng9OdtvPaazVz0MdGA9mEBuPdG1eD0OQnI9KNRoPR8XYT2rQVo9ezNXPRuxXD0lgGE9wrxnPQuKaD2gBoY9sfuJPQCJgD1PsXQ99kVoPVb+Yz0D7Vs9xgBOPXeIRD3WEkM92+xHPS+YUT32tlA9Xl5NPbFfWD2Yo149CuNZPdfEOz3KYCY9CkovPQd+OD3yfzs9cEg+PbbRQj2EPkk9KR1JPYOATD2aClc9hgJaPdGNbz142YA9QrZxPcY1ZT3TY2A9dp5iPbnSez32A3E93v9aPQBNXz1P/1k9Gm5SPeqqUj2CClU9iaBTPXUiVz3ccE89APJJPUD3RD13Izc9Lic8PVqPTj0bPk89HodFPfusRD0GEzo964wlPdyTRj2+JDk+TpNLPlJFUz4Ohkg+buwwPifhIz53+RA+yAYfPquBKD5nBig+nU0qPtpkLT4vMDM+hpIrPifMJj6bpis+sOAxPvALJz4J6ig+eiwqPq9RLT7hDyw+6sswPuM3Nz6jLzY+4lYkPnE3Kj4HHC4+TAIqPmnqMz6E7UA+lwQzPt2IMD73qTI+9gdBPrRkTz6+4Dc+AYIyPjsYOj4ZyUE+6btHPoqbOz5gGiw+lyE4Poq5Rz4b9VM+E7dZPqJHVD6xQlE+IVhGPnMqOT4Fz0E+mBlPPgTXTD44Ijk+z2s4Pkz9LT4B1TE+fvZXPmPjWD6Wuzs+eIczPovbMD5P0jM+4DM9PuJpOT58rB0+cPUiPmtLLz5kWC0+QgdHPiSHPT43W0Y+m011Pj1xnD7hSqY+ubFAPm4HNj7Y6Tk+C7lKPhX7Rj7Pxjg+2Bs1PgwqMD60VzI+8WU0PqObOT5AOzQ+iXw6Pp0WND4tqS4+cho4PgIgPD7PYj8+8g44PtPoMz5LYDo+rJUzPoxiIz5yXSo+dWU/PnMhOj68mTQ+4S03Pg86RD5KLEY+B+wvPnEZMT44+zk+Rv84PkRkLT5xCjQ+/WpGPk3sRz7xn1U+apRjPkAFZj6W6zs+CzA8PgkaMT46RC4+qasrPkgSLD7UmDQ+ABgmPjiTLT7DsS4+AWohPiDgHz50ezk+0ORiPlnOWT6jEEQ+fNJKPnnYTT6kmkg+BhRPPiFLSj7MrDs+sDcuPir4MT6oRDA+Z3giPmKMJj7jwCo+JBUxPvW7MT5ZOC4+S/wfProJIj7qBSc+NOs4PtOXTz6T40s+OTQqPrlvFj7jtC0+w/AkPu00Lz6yQyI+phwsPryYPj7ZVTQ+FE86PrW2Sj7a3EQ+OLBIPrBWQD7kGTo+0PU8PnsOOT6IMzY+n3E0PgZzMD60JSo+wlgvPpp2MD66Bi0+dU85PtvrMj5qZTI+6wEzPih8Mj7gVik+R60pPnsKJz5DLC0+7porPgIHKz7ITCg+WFYrPuDgKD4hSSI+kMA0PhqKMj6cTis+4g8pPogRKD6IESg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7ZBpz23cY09E7FlPXNSZj1HJ249IkZ3PevIcT2FZXU9XgF8PRmLgT3win49DS51Pb4vcD3KjWs9sc5vPX9ReT2NiXQ9bqdgPfqkWD2T0VI9xcVXPXlFWj2UpVw9qwxgPVm5bz2bn409ieWMPcXceD3aPnI9eup+PRLpgT0k3mw903xqPapLbT1a9Gc9TA9oPUhubD2yyW49Tdt2PcrmhT3M5Y49QWuXPRVqlj1sfZ89LeqjPbHPnT3U8pM9e5iRPS5AiD1oEIE9Ax1qPU36WD34h2A9ONZjPatxcz22Y4U9EySSPV3Gkj2Pj5M92UF8PR2JZz3fdUM9xPBGPd8jZT0b/4I9gciDPSoEgT2Tfm09n0trPaWUXj08eUk9NCpFPVh4Rz29tFE9EiJnPRQIgj2UGYU9c++BPdkIgj2SFYY9vf2IPS1vhz1yw4893HSaPR1hhj084n090sJZPXWGRj18skc9gVVXPWeuaj1WtXY9dByEPTWZhD0pkoA9BAhvPTEhXj1gPGI95YBlPRGFYD29y1w9QQRzPbwYgD11FoM95tl9PYPRbz3WO1c9iQpPPb6WWz1GlWA9A7pzPXn/hD21enc9xiRZPYykRT1OVVE9HvhXPQq+aT1NyVw9T31NPSAySj3Ra0E9zgU8PcBiOT2CGDk95ndIPQDyVj3ZPU49Cc87PUJ2Nj31qjI9svM1PRiXQT1hkEk934NOPeVdUD053lk93EpYPbiHTj3rXFc9XpdmPXB1aD3umGE9pR1jPZTWZj3aYGc9tTVrPS4UbT13TnM9f65uPUBzXT1us109R/5mPXahWj2b3FU9+CJMPR8XTz2DGVU9vzpPPT25Sj1E9Eo935pLPVyZUj0Y3WI9w5lnPbckNT29kBw9m3QUPYKVAz2ixik9qLCZPVFZ1z3Qwy8+5jk8PjPuNz4p3h8+SY8cPmnJOD75g1c+xgw2PnRWJj6n7i4+APAsPmpDLz7tcCU+5lUlPtSwKD5xbi4+UTssPo+xPT7OkUE+zi84PouxMz7mikU+yqE6Pg4oLz4Ztjk+h+05PoSQNT7mfT8+H9A2Ps4yMD7Gqjw+ASMwPoT6LD5D1FM+51FDPoYkLD6a3T0+yTs9Pq/bOT4AnDw+sqY0PvJDMz4u0EY+jwJFPtmPSj716kY+3yY8PmFHRD7JoTk+jVM0Pne7Nz6/2TY+zfouPtDULj5txCo++Mo5Pqq7ST4x6kg+5qE3PssFNj6wqDU+qMc8PiSRPj40dyE+0LAePjfcMD6YsEM+/ilJPiuERT7DbGo+0HF1Ps3wjT4RlZI+MqpxPqKtUD5j1YE+9YFtPjcPUD6h7TI+sRwwPgUfKD7pwjU+T1A1PnO4Nj5PQ0g+LbBTPi8+QT6WbUA+2rdFPn8JRj4ROUQ++OtNPqrFVD7A8jg+LpIrPr5DKj7MPik+PXYpPub7LD5lyzM+3/07PvX9PT5KzT0+Yr0yPpabHz6CBSg+/1gwPo6gMD7NTjM+lGUrPv5fLz5PbCw+ooYwPqDHTD7tsVU+qLxGPrLBSj7b7Uk+ACBDPn7QRj7YbUg+e+5HPmXUQD5eoS4+LCkoPpe6GT7eQhY+rXsmPkKUOT5ZDik+GR4jPkwMIj57NEo+Y+dUPn/XZT6y4Es+urQ1Pjd9JT73eCo+20csPv1uLz7Hqi8+JoMmPrArHz5XuSc+Y/cqPkC9Mz7mjD8+lwZHPvfgOj6zf0U+nRkiPlblHj4sESE+ouEzPmL9QT6xrC8+MBImPiWJJj4s4jA+D6M6Pr8JLD532jE+8t02Pk0JOj71VD8+xrg8PjyYRD5AejI+EEwiPnzZID5DkyQ+qsssPv7OMj4TMyw+L6YiPr64Jz6Y2zI+DGpBPnyQMz5pPDA+4GQuPp69NT5qKjQ+RcQrPk0/LT5+EjM+YacqPmo9MT6SMzA+pVAkPlo+Iz6TJUQ+8jlCPqQcKz4fEiU+HxIlPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+nj6g9SA2VPVqdhj1PyIU9jReMPdCQmz2zOog9XiptPSPNbj2DF3M9FAd6PUQWgj2f8389glBtPS4kaj1HSl49xlhXPRrYWT1oJV09OypTPcPzUz0hrmU9s/xwPWArgj2R+oU94zqLPT/5iz12DYs9jM6IPYqGgD0shF8922NNPTjIUD1S41s9hAVtPbZZdT0hCHY9zhKAPa8Viz1l2ZI9BX2cPRqJoD2HbKY9JR+iPRbHoT1xPp89AKOWPZaFkz2Cs4A94FlpPQLtWz3SXGw9HSN3PcU/dT0qAXo98WKJPdhzlT25AYs9lj2KPTiIcj1Rs2s9GjdgPbRBWD1sel89OVhqPeDyZz3nHmI9mMdhPXuPZz3XKlw9JB5cPfySXj0ZlV89tU1lPTsufD01oIk9VV6MPf14fz3NpnY9axyAPcPYij2Zj4w9sYGOPb/ojT2Sx3Q9B8VpPW7fWD2JmFQ9wEhlPViqgT2USnI92hhmPY34Xz3c+UY9jMFTPcMRej16WmU9LctkPcgObT0cIGw9jUJrPWUSYj1icWY9zcxpPbQUaj0gPGc9IOlcPU3mXz0UX4M9y2yOPWp9jz0DW5A9caqGPRqcVD09HFI9anJlPdoLaT2uEmE9B8RQPev5SD29Iks9FFdGPdJFPD0hNjo9GRI/Pa7mQT2wZkc9VdJAPce9NT0q9DI91fQyPcJfPz0hA089+n1IPfebVD1Jpls9GUtyPcPuXz3ohlE9B2FJPY9oXT1bCl49R+BWPaxZXD3pS3Y9NC97Pf0Ndz0SKHw9Ach9PZh2fD0IOW49E01WPT+8TD07dVQ9W1ZYPeefVT2A5E09K/NUPbvpWj3OrV09uydYPZUGYD0WtGE9xxZdPZTCaD2UVyU9Y2j7PCcAAT2yUfs8kG8MPePvJj2B2NQ9sXBHPsMbXj5H9Eo+y8gZPsopKz7FKyg+zfU6Pg3LMj4M2Sg+Xi0vPuKwOj6nii0+eqIkPhDVKD7hkic+aYwpPnyHKT7fCTQ+XWY2Ps99LD7TbzA+G/Y0Pj/jOj76azo+LhFFPtXIRj6HY0U+0HZJPpRsQj4tDjk+vUxHPmNUNz4j2C0+ev5SPmAZLz4ntDU+Rl1FPo0NRj6UFyo+5GwiPo7ZAj4gyeU9D6v2PSWXGT6kbyM+KC0hPvo+Hz42qkg+zgY/PuFlOT7LlDU+aO00PuijNT7oISk+Vx03PvNUUD6CfT4+2MUtPidZKD6wQC0+ZdExPoCeOz50Okg+Mto6PvsMPD439z8+I149PqnnPD6G8yw+J4ItPvozMz5WAks+IspdPkuVQT47kkY+TXpePpBRQD7rJ0A+qiJOPvCbSz7PlEM+o5g4PidKOD5slDc+wcFQPoLmWT7Wx1E+yPhQPpmgPz7/mzs+lSZDPnpERT7Grkk+IDY5PrxPLT6xhTE+coQvPiHXLj7aOCs+O+olPpsCKj5zTTA+E601Pr2LLT5yyC4+KkA+PvYPPD7SYjU+tmM0PozLLz7n+A0+nwPcPXxlHj70UVQ+ec1cPkYQQz6PoD4+dmNFPi+7Sj74hTw+Djc5Pj8gMz6EZig+ACEiPuNdKT6gzS8+vScoPk7hLD4ECD0+AyYzPl+iKz5b8i8+gGNEPsffSD7Q9FE+1xFLPvwrOD4q5CU+vhojPoSKJD6KXC8+rbYwPpvUJz6OYz4+sdUyPvWtJj6hOTY+acJDPk1IOz50/Ck+HDFEPohfOj62HDE+0WIhPvFXJT5tFDo+xt8+PhZmIj6P0Ck+xXU2PnhsNT49cC8+eaA3Pgd0OT6UclA+qptHPpQsNj5mgUk+rJk0PsXPHD5u1h8+37QoPtg/ST7HjEY+nY8iPpaZIz5YbCg+ZP42PpMjXj4HNk0+8hMvPgOCQT7IjTQ+J4clPjmkLT76Yyo+S7UbPmeBHT4JvhU+cpEKPuUsED7M4Qg+kRUyPpbfQz5i3CI+3pYUPhLTEj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/zs41Psel8D0SWpk9XIekPX+0nz3xCJM97WV9PTniXj29/Fc9uyFVPWrSXT2sy3M9zWp7PVmWaD3uC2o9nAt6Pa2ibz3+K2w9BmJxPcDyYz2IdF4926djPUrebj3nFYY98BuNPfFhaz0DQVY91TdSPeLsWD2fGmE9VnJhPd1wTD3lO0k9r8NSPQngdT3ddII9psGGPTBuiz1mZZA9LvOTPRCqhz2pcIQ9TJCCPdCDhD30jYc9oZKKPQOkgT3u4m49nSprPf/lZj2Td3k9f8l9PT4+gz1ToYQ9bhuFPY+Cij3dnYw97pJ9PdnbXz3hGVw9i+xePbUAZD08olQ9yIJWPf0/ZD3IfHM9VWpjPVuRYj1FWl49RKpZPWs4VD0pMlw9+XtfPfAwaj12SIE9yjaAPdUaZD0j+GI9bOh/PU7diD2stI09jcaXPbIelT1J35E9F1N9PfhobD3xIGY9kc1jPeM+bz3v2mE9N0hWPU/rVD0yFFM9jbJQPRb5Tj3WN2w9sE16PTIcfz2pcYA9JweHPdQgfz2IA149C/hgPcpWZz3jx2Q9yKJhPascaz1gKnc9OVuUPSUllz1R9pA9UFh9PWfmXT00OlE979dCPRVNRD268z89ABI2Pcb6TD1lGlc9ytxmPeQ4Zj0Vrlo97tZWPQk6Tz238kE9F3lJPc2RPz3K9T49FW5BPbC3RD3j9E4971xTPV9ERD0T7Uw9moRRPa9dSj2w8EM9maRIPQAiVT00j1k9DdZdPX95YT3T03A9Oq53PRD5ez3Id3Q9pEBmPbmPYD0TJFE9tpRFPUIePT34JEw9u2dQPYwQWD0y4lY9K/9YPTsCXD1ldmA9zhthPSeoaT01ZoM9SzXHPeVuEj6NdwA+EGEVPZRu+TwKpwk9uKYdPSXSJz0aZLM9gZQ3PnFrXj6AL1o+aS1DPqehMT4oQiU+0f0xPkDOOz64mTk+Q0UrPvnYKT51wDM+ZL4lPjHBLT64mTM+TzUrPmwpKj7lWiQ+DnA0PrpvQD6QUDI+5csvPppSPD4flko+khxUPt4iTD6qNEY+pidJPqRvXD5aCz0+DtZDPqI5Uj4wpjM+zx0zPlzXcz4lJx8+ngs8Pom+LT4rqCI+irAaPqFVGj6e4DU+QQU+PlEvNz5Yzxs+YKUFPmXHBD5ynhE+gOILPlShHz4ekzg+18I3PtK6NT4+Tzk+kElHPm5xUz6XtUA+TdE1PlqcNT5fgzQ+F445PkmwSD72FlM+2XQ/PqXIMT6hqzE+xc8zPlaGOz6a8Dk+x2o3PpZQLD4g5iY+2ucnPlfALj7bnyg+1v8oPih+Lz4IMSs+g/0sPg0RNT6WIjI+cLpEPpHfQz6krj4+JI5EPo5dNz5n6C4+T5EqPhOhJT7sOCc+hQwnPt0XOz4l6kA+8+Q8PidPJz5XmiU+sQEsPuchKD6nTDE+oc8sPmC8Lz4ACTI+s6w1PrPRQT6LSEM+qPZCPoiIQD6HbT8+rsJHPtqXSj4JDVo+VSJMPs1yRT7LFkg+Ik5mPkOwYz4KJFM+row2PgRgND7nUjA+L+Q0PrPuMj4wNC8+x7ghPskdJD4MxR8+ZIkkPi6tJD645Sk+kVVJPuv4Pz6tQDs+Rdw1PpXQMD7XpTM+IK9FPqZePT4+9is+1WcoPpQTKD7r1Cc+QGAoPvfUKD76OSo+faEkPld1LT5h+Bo+3BYYPi1nGz613yg+Z5AzPgtRYz7zzUo+dC48PuxsIz7Rvy0+UuM0Pk4NVT6rrDs+KPRMPtfsUz5P1EI+zXRBPi2YTz69q0w+n9pOPgapSD4T9h4+URgdPopdLD42KS8+1ekrPheSLT5y10w+Tjs9PtZnKT4ctCY+7sc6PtwXRj5wj1E+I/pGPqQIJT5THDU+tqk2PuVBLD693zo+L0tBPpmGMD4E3CE+2q0BPrKp6z0HUAA+w0gOPoBOIT5s6yE+z8MaPofmGj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2tFfz7x/xU+j9OOPae5fD0HTGA9z8RUPc8ITD3pelU9YxVvPbwBgD3Ytoo9MSaPPZgJkz0XgoI9deJxPXOggT1dQIg9Vf+FPb7LeD3pu2o9tDVfPRcFbz3RxWk9GVFhPZ25VD3s11Y9Z6RaPTe1TT0xmkk9BzJMPX3cUT0gRE09b2ZVPVh3bj1icoM98yKKPcM4jz01to09wG10PWLAaD1FvHM9UH98PQQQgD3MgY09FYSYPaxBlT0J7I497p+BPcvhez2r/Ww9sIOJPTlMjD00Ko49ocGTPXfyiT26OnY9matUPScDUD2LUUw9XkdMPflYYz0CJWQ9821rPatXez1Bp3M9Ls1fPXjGWz3Z2ls9J55dPYGHaz2dnmk99YlrPcp6fz1ktXk9BF53PQiUZz07FHU9adt4Pezwgj2dBYQ9MQuGPRF7lz1P+ZU9HeJsPQDUWT3CkVU9QJhhPeCacD009Gs9FfxGPW6mQj0zakc9J+tKPaCwWz1psnE9DjN9PReMeD3gGG89wBdmPVDddD0iNmw9Gj1SPbYnZj0hy3M9IHJvPV4/YT1NSGs9BP5yPZpfgD3GZ3E9O3NMPfXPQj2DHz49+Y9FPc27RD3z7Uk9rw9PPe/WUD0jR149tptSPcYbUz3ITG89lFZnPUhCXz09BkI9EyE3PQkVQz0PF0k9pH4/PcXvPz2gvEI9zkBRPbEjTj04dDo9lXc9PVI5Qj2GRkU9eydePVdyaT0Qdlc9+cpXPVL6eT2O6Hw9D9B7PTxvaD2J3lM9EtxMPW4eQD2vZkc9nLNJPSv2Rz0JDUI9V0tJPbxzUj3lXFM9dbdbPadeYD1nNlM9BjdPPfFPUD3UBIY9eqnFPQtVFz4XB2Q+AelZPv37xT2pEaY9WOSxPU4HwT0IKcM97E4TPsOfST4JE1A+VHhMPn2DSz7xQ1A+jV08PudYNT47ZDI+MjIqPvnXIj4jGiE+omw4PuNLQT4m4jc+25A7PglZQT5ATTk+O8wZPpecTT62XlA+axdKPiayUT4HzVo++ZNNPrBxSD5fpzo+J+onPv49Gz48yRU+8NAQPhoKFz7xbRg+6pYJPoxP2j1iYck9O/bIPey56z2S4d49MtnOPSEDCj74BRY+K207PqFsTD70wz0+0rgrPmohKD5j6Cs+Dgg1Pg1ONz5e0hc+c6oAPtpX/z0rfQU+yQIGPkdvFD6zSDQ+/owzPvnlKT4iwSw+YtEwPvS/PD611j0+udM1PtGJKj6xyyg+ebc2PoLCNj5rFDI+T8k6PkO/SD4zXzo+TGEzPn+VND6urDM+uf8wPg2FGT60tRw+mjUePoPNHz59Ayc+HoolPmK+MT6QBis+zwA3PuHgSD4Juzw+TvMzPrKbLT48JzI+uxstPsw6Kz6rSy0+5rlAPsrpMz740yQ+pAwlPqI4Iz7jNzA+hChFPkf2OD6X8zU+M/k2PgrZVz4Tc2M+DZJZPjgmQT5S0Rk+s4ImPlBIJj5V1iM+Te05Pu6aUD5qmzY+lME0PiKcQD54cUg+eFJKPiCJKT7QOTs+xdQ2PrKQNz5aujs+C207PoekND6C1ig+upMjPo9oOj43qD0+Gr85Psb3LD55qTs+xho5PpUiLj6uXyY+E04jPoc7LT5pmzg+mPQ4PnOkNz4LfTU+r/ckPhqZJz4Zni0+JEcuPoKOST5iQ0s+01M2PmFxMz7G2CY+YpssPmM5MT7U+1Q+XPIpPn8gLj6U6C8+yWcwPgyVTz4AvFA+QH1GPjebRT7ZgUk+Kq5YPsQsRz5m3Tc+xSwsPiiJHz4f8R4+S+4fPgzPEz6Yk/09sOkVPqS1Mz4o1Dw+GUtEPkElMD5G/Ss+Hoc3PjiESz4hA0Y+uZE5PljrMz6lnCg+ThI2PlH8Lz7SvS0+Z8cjPpp6IT4pdxw+SWQsPrFtED4jPQQ+pFoGPlW7CT5XAxA+u5oNPnfaCz507gE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/wMmg+ODiyPYYwez3KsHo9nOt0PTggaz3Xslc9EYFdPfBhfz1qLYU9M/eHPefPjD2wGIg9x6V/PQqxaz2jp2Y9fudxPbJGdj3ueIU9KhSJPRk0ZD3DKFA9sxZSPSdOVD1UzmE9uqhZPYYYSj3y0VI9fWtaPQxBXz2wLGY9hKNjPSKjeD2wVn49bk2CPfiycD1r3mk9Mh1gPVvkYj1rDWA9grJrPZLSgz1Q7Yc9BeOVPdcOmT0dX449CpKFPYDSgT3pPII94I15PRVmgT2zGXg92ZeGPXx/eT3FJ1s9APNTPW8lQz0w3z09fXRDPYxoYz3MQXA9pspqPTQvaD0Jjms9jy1tPQBKeD2w7WI9+mdsPQMoaj1o+W89/Wd+PfYzgz1Fi3497ZmBPaObgz1ULYI9vsOHPSDBmj3zQJw94jOZPeWzkT1IP4E9d1VrPa0obj3RWm89S4psPbb/Yj3edWs9HyJdPZhfWj3z2Vc9pidfPenAaz0vnHI9jhaEPXX+hz0HE3A90URbPTPhUz2HYVo9Z45oPUhpWz10UmU9tu9lPf+ZZz12imk977t+PVjrgT1+IWo9x0tsPZe0Xz2xf1k9fK1cPXujWj31cFE93TdIPXBDRz1pFEo99RNHPRwfUD0X5Es9grNQPfG8Tj3stkk9VhBIPa4TQT1wVjs9UNI1PWDgNj1+YEI90opDPY0XRz2K/Fc9seVVPXbASj0mekg9JjJTPYYQZD1onVo9IlZWPc94fD3ZyH09tTZwPVNQaT19mEo9HVNAPWDcPT0tGzw9rBZGPbKZQz0whTg9SkYyPUsiOD1HVl49kEZpPfGCbT1WSHM9D55iPWtpUT17wkk9qtBxPTj0qD2p+dU9ecnJPSR3Fj6AaQQ+KNEEPsZHzj1AhQA+ey8gPh8YMz5dtkQ+CUZTPiQjXT4RElc+mMBNPoVYQj4rvz0+C1BBPijkOj7RJDI+CVgoPjnYHj5SeB4+bIQjPlk1KD5M7kI+jZ8sPmXdKD5ioic+53AXPrvsBj502wU+6aIGPhYFBz6K/v89RmsEPnwhCT7puB8+BromPmnONj6bSjs+2IsuPozxJT7bAig+Ut0qPg3RMD5mjv49VjznPfdB5D0jVR0+6/EcPiNiDz7a1zc+eqRBPgArQD5mqz0+AskvPlcTMT4FTDQ+/ME2PkTuNT7KcDM+qT09Pm/pOj6GWzA+t18qPuQnKj4nKCY+rVkYPm26IT6RNCM+Z40tPofIPj4NTUg+04ZAPrrlPD4hsjg+Yx05PjarLD6pUzk+ZZAsPv/pNz5WAj0+inNAPjdoPT62ZzQ+0Z8lPgPtMT5/6zU+s/opPuJRLT6xNig+WywkPtIsPz6MR1g+xiU3PnVoMz5pWEI+YWs9PlFrRj7280E+XqQ0PjP3LD7ETjM+GGEoPmQiMD5zATo++II3PvLxPT7Zuz4+9VE4PmoNVj5rr0w+/uVCPrB+TT4nCFM+pgc+PicHSj5rRVs+Pt1KPjBWQz4nekY+SUkyPmE6KD53Fiw+wiA8Plm8PT4p6zE+bpZEPjXCNz7zxyw+i4guPkQtLz7vaTE+KpsxPiH9Pz48dEQ+YFg3PtzTMz5sGDI+iPhIPmMEQj7zhjI+Z+8jPgTjFT65exk+lFMlPnfSMD6KyzI+AiVEPgtgLj5w8TM+Hms8PqhbOj7lpEI+bN8yPk9CWD5X+j8+dAk3PqBYPz4+7y0+y+YuPkLnLT6SQzU+Y6I5PpqUQT5xNkI+NWA+PpokWT5SCVA+gJk9Pil+Lj7r8Tc+5tU8PlokQD7dQEA+diRHPur7SD6guyw+Zw0aPoP0Hj6iSCU+VcEjPvjrJz45Viw+qKc5PrhaRD7BYUo+h6NFPvNfLD4NmDw+8RMvPgcIKT7SkDA+vZwqPrdGKD59NR0+hrgVPo2VEz6zjAM+/m38PZvBAD6jkAc+tscBPgTJ8z2/2fE9yTTrPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7hauz1VPo49Pwd4PWT/ZD1hGmE9/cdqPUgVhD2yYIs9jlqIPSBQeT1D0HE9I49nPfm7aD2XnW091qhyPUgcZj1gpWU9Ol9hPbL4Yj1VSWY9G1ddPbOIUz3wmlo9mstfPRBGVT2mgEQ9+DlPPQloUj3JzV898xlkPbWsdD2UQ449j0mHPU9Gcz1rKXg9vBt6PXQgcz1s6mU9r49sPXNhfT19BIM9smmZPTupoT2F1qQ99vyEPTxodD2QM289Ty13PaOVcT3skl89mIhjPZlScj1xLmc9lOlSPZ8kTD232k49JOJdPWgPYT3sW1s9WCRdPdnRWD0Izl89WydvPeLHgD3aCYQ9Zk6DPTvQhz2eeoY93SmIPUbThj1MXYk9khePPVuanD0IG589KRGTPaVEiz2IoJM9b+KJPc/KfT045Ho91Xd0PQH0Xz3Q21A9JP9JPV+iVT1C6WI9kKZnPTC6WD10/189vRhePeKQcj28yIQ9NRSGPd7Mgz329ok9LGt5PQxHaT3PQnE96vp0PaymcT38nG49dCB7PU+maD1Enl09ftBcPSswXD1Fklo9FsRnPURfdz0t8Xw96o2APTKXaj1ecVI95yNCPf+lOT2zzjs9joVMPSVLUT37JmA9wk5oPfxIbz0FYGc9qQJRPU0tTT1LOUg9TXVDPezuRD3oDUE92IZOPZDeVD3uok09KjdBPVzYSD1w+Eo9HYRJPdmQTT09slI9wshiPbdtcj2c9nU9tOtePVOYQD37gkM9PNc/PexdOz0cG0c9qblUPdCBWD2tkVo9t+9SPXMKSz2cd0I9Q6pFPWyuQz2NlEg9v7xNPXE3QT2/G0o9dDxIPcVfOz2knkU9RU5UPcpiWD1YDY89/+WWPYyVyD27K/o97YXLPaAMDT4KIE0+6ZlPPireVz50zVM+QYVUPnv3SD7f0DI+5SkyPinLQz43AR8+y+vyPTVk8D2cvwQ+XAcAPutiED4TGyA+ubYoPow6LT4w5x8+4V0cPmECFz5bnh0+9s84Pn5QQT6Ucyw+88AoPoVEDz6nuyQ+uM46Pvo1PT6QADU+X88mPoxmGD6BWSs+Mh8jPrC8LT62+Dw+FlBWPtbzOD7yXRs+vcMUPrNUDT7HrRE+45opPslOHz645yA+udQrPl7LJz6UaCo+PvwwPr/HKz635yo+rI8vPhoOLj5fGBw+segdPpI0ID6whjg+cX4+PoT0Oz5GxFg+FSxRPvSvQj54ajA+elY7PnW2Uz4WTDY+VLAsPk53Oz6SbVU+6Y8rPn1OLj70cFY+KcNiPs9IXz76z0w+HAs9Pir4PD4mi0A+IvkzPgeXLD75BCo+rlA0Pi/5Nz4qCkw+9s1gPqfQOT5SjUE+QY4/PkwWPT6SGEE+r/ktPpRkJz6OHTM+VtwtPtZoJj775jY+U7I9Pt4pPD69+js+88hWPiFdUT6zOVg+trZQPleISz6UCFE+CuY9PgVdOz4X3Gg+O1NZPkhHMD7owSk+T5gxPrrKNT58FSU+9Dw4PiimRj4QZkg+Zp5PPmuMSD5jyzE+nigqPh5RLT4JNS8+/6ErPpnSLj7oKzI+eK80Put9PD7MZSw+qgguPoBZND4DMDo+OylBPpKSNj4A1SM+zvssPuqPRj5y4kI+EokpPuvvJT7knh8+ShIqPvDZMD4irzQ+sFs+PsIUOj7cvEQ+NnhJPgZbST6dvTE+vKJAPpgDNT6zTzk+ol4/PiXPRT5tOkE+8Dw8PuDOMz4kKUo+5ws9PuD7OD4Hszw+5gwtPm2PMz6MhDo+X0MuPjrzJD7g7zk+vyg0PsApJT4i6Ss+X0RCPlBIVT4Yu04+XOotPrprJT7da0o+HKY8Phg7Nj5xfk8+J9c7PldwMz7KKys+j2wjPuVqLD6T9DA+X6koPqTNSj5q0jI++BkwPjNtKD68yCM+V/kRPqLNAz5g2gM+NVoHPk6vBj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/H6789q1eIPUpUhD3tZX89B599PefNgT3d/I09dpCOPQ/WiT2wvoE9dzt2PdMEcD136nY9gXJ5PeuGej1lqWc9x91jPQnBaD27i3I9kU5zPXfMdj0d3HQ9DH1jPdf5XT2Q2Vw9msRSPYaaTT3BVF89MIN6PRUJfj3IsIQ9wpyLPUGNiT2Ku3Q9SoB6PXhXdD2KhGw9oQZqPZyaeD37boQ9/HiIPXPsjz04D5Q9y6eYPdA8hj09xnA9blBoPaDGYD1HhFw99otaPTdZXT1D/Gs987tePb8eVT1zAUo9NLNLPSZaWD1FDFo9d79aPSaaaj0bPnU9kUl8PToufj1fYXk9vqdqPejPgD3YYIg9s0aHPfLkiD0flYg9eFmMPR8gkT13f5g97bKXPdR7lD00ZIg9/L6CPXsngz2SHnA9SFlmPRwjVT0JYUA9LnxOPWfgVD0DnV89Kd9mPd2NZD2xgGo9yPN3PWHZgz3NGY49+0yWPRcFmT0MxZM9XCeJPc+rfD0WVms93TJpPbZraj0Iu3A9cXN6PVymbj22Sl09+iNZPdIDUz1+kVM9VA1NPZZUZj1Ub3Y9DjVoPQfpVD0sV1A9pO5BPVNANz13IkQ9yD9aPXohYD2XF2E9WNxrPYI9ez3L9W09lzxLPbVQST0vRE49e0lMPf87Sz0UX0o9kLJEPVDoOj24WT09rh88PcVaPT1euks9MZFHPSvhTj2wMU09cddTPYfiZT2rgmY9syxQPQTGPj2Do0U9trdHPbzyRz0vdEI9r3pFPf5FXT3keVU9t9ZHPZqKTz0/Clc93OVIPYuRQT0ypj49drxCPSKAQT136zc9gMQyPd8TNj2dpzw9EktDPWWnQT20bjk9CLkvPSXzKT2hsmQ9vu/HPaE0AD5kXLk9ug/sPd45Hj4IqyQ+oJEdPhnxJD4D+SI+5t0gPgSdPT5NxDA+3Ar/PaMwDj4mdSU+JSwlPp7bGj4WqRk+NhYXPrhsIj4QBCc+/G4cPvLsHj6CZB0+aQsiPqj9LD4Mly4+lZ4pPntjNz6b1jA+80I3Pt9/Qz5ptTY+AGEqPg1uFD7qfx0+2r82Pv6aPT6i+xo+pSkfPqYgOD5NtSs+pCY4PsVuMz4OTDA+OpQxPj9zKz4pqxg+UU4iPktDQj4i+0M+Pg0zPhD+LD40wSE+B58mPt3nJz4TWjM+pI4sPu5HLj5U6C8+WMBIPiKVSz5lOSM+6zURPm7xHz7slis+qC0VPobjEz6wgCw+tRU2PtfMND62QFA+r2tbPvrAIT4C2xs+BIdEPmQMWD4uiGc+Lf9jPl3uQT6eQjI+PG4yPlEnOz6uKjA+ZuUsPqr5ZD7r0k0+EXRLPihFSz4J+TY+kkA6Pk9ePj6hmzw+S/Y3PtXfKD5l4CQ+9nYuPsUGOz4MLDI+eiQ2PggdND4v5jA+kPwyPuwRSj5y/i0+CsU7Pl1eUj4vpk4+L0FLPqrGQT7gtTU+YYpvPjn+bj7+rkM+ZKc4PvytJz4frzc+jZZQPsCdVz4VBFg+N4lXPg+AZT6BuVY+z4dDPrsdMj7PaCw+YS06PjAUOz7Sgjg+MQMsPsfyKj6maDA+QlIxPqpfMT5jYDE+kJk6PmtTPT7Dqjc+/i4nPpPOND4+vE0+mVxMPpu0Lj4pTRs+EysWPpqoJT5CVyc+n1InPm9rND7A8EA+ne0hPgxaHT57Hhw+q24nPkO+OD7dLiY+nFZBPh5WOT6N2zI+j7YuPo/uPT7nA1Q+qehDPtxIKj5Mkyk+Eq8vPrVeOD6/TjY+qbQ5PmuzPj6Ty0Y+WEJVPv4cOz49XyI+AzgqPlbJMj6R3jQ+QOJZPgd1QT5PgCc+IZg5PsdVTj4LOVM+WLpYPjxmQD79KDw+xAJHPhSINj45eUI+yldOPr7WTT5gMTc+hBQ7PqjnLj4YcSk+oV8sPqWHEj5Onxg+fFwaPkq8Iz4bTSk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/ArLrPa1Wiz3k/o49uHWIPbUOgj1QqXY9zOp2PTvbiz1OIpI9/z6MPSJ7ej0RWHA9uMZ0Paq8iz0Zb4k9F5B+PU0BhT3c7oY9byqNPf96jD22IYM9v9RmPUGqUj2PtkY9AglGPWc6TD3XS109jZVuPTIVgD10r3g98A92PY+BbT3BB2M9yctpPVTSeT3g+Yo9hQSLPSbbhD2SLoM9GQeOPdEGiz2hSIo9/o6QPVdhjj1DF4Q9h691PcsWaD1hdGM9A4pUPe+fSj0Zdk89eBRePU8VVT17ZEo9JbZGPdpqST3Fn0895FVXPRz3YD28imA92w1rPaYRfj1wMIE9D9KHPSM/hj2q9oQ9MW2EPYQJhz1CUog9dbCVPbvMnD3CvZw9LzGcPS18mT2r+ZI9+HuHPUx7hz2Wf4M9sN5oPfNeXT0L11g9VHdRPZTTUT1fQ2A9jxZ/PeEVgD32eXc9xRRrPfBkiT0Rtpg9x0CXPZk+mT1y2Js9NKuUPVAHfz2bQnU9QQdkPSlRXj3kRXE98TF7PShLhT19RIE9Rat4PcpTcz2vUm89RSZsPYNDYD2EfmM92jlePWUKWz0fykU97KBAPToRRj2bdlY9yfhdPT81aD3AXHM9Rd9mPf7UZz1NbWk9McRbPbfkPj1aJz09KttGPZIsRz3h2Eg92BVLPf9OSj2Os0Q92ilCPWojQj1XYUw9n9JKPV9WRj1aQlo9GdhrPdwgZz2eB2c9d/daPavpUT1nwFM99LZfPS9bXT2NJlU9QrxEPbCzQD1TUEw97VtDPSRuMz32fzs9BoBCPTVWSD06XVE9r+5CPVMXMz25tzA9vuoqPW6ZIj1HlSQ9gaUqPfogLD1SriU9qCgaPSebIT30Qjs9FDtOPUmf4T312iU+694VPkV78T13pdE9lLXiPaUeHT75Riw+mRkkPgLCBj5bLA8+EbYGPv+uFj4JbiM+5tYiPtyCDD5RjA0+GQATPvQnGz7Fdyk+TkMvPvJZJz6mnhw+sqIWPocFHj6dkhk+UjkfPjQTKD5wFzc+n/I8PiNSPT7fPzg+wg0xPtOeLT5rTiQ+Pn0tPsncMD58WjA+1bc9PvuPQT5fTko+TNdCPgf9OD6bBTA+Zl4oPlYBHz6hnxU+9ssgPutCQj6ai0w+BuVEPu/vKz5p/yk+gBoiPlmDIT4PGSU+8CknPrmRRT5nyU0+TFxEPuCKMT7WdTY+KTQdPugOED5nEyM+fcEvPujjMj6yNBI+KyQlPh8OOj7BwDo+TBw6Pgl0Mj5/zBg+P1EQPtOHIz44Gi8+6+UoPny6Qz7JFzA+2UoXPuF+ID4mmTM+8hkuPlBTIz5inEQ+gh9vPshqZj6YmU4+C59KPp14UT6wxVc+hYWEPkbIWT7AxSM+7DklPv8fLz5FWDk+51M5PvU0Pj7Mojo+wwo8Pr4DPj5duE8+5f89Po2CND65bEw+bq5QPg9yTj7pfjw+qyA0PtPnZT71glM+HWo0PnB2Mz7cQDg+WmhSPhizVz5W7mM+/nR4Pj12aj4EiWA+xUs/Pt+AOj7wIjQ+OykxPnE+NT56LTY+r9QtPkI3Hj7R3SQ+lj0rPufoLD6sXzA+Nng0PjYgPj77vUs+Ec4/Pr/cMj4PY1M+Ur9XPhgVST5wYTs+3U89Ps/tMz5DhTk+RXw7Ph22OD7xujc+DsQ7PguZOT4c2TI+qWokPhi8Jz6gyDU+iockPiG8Kj7mZC8+KU4tPjgyKD5rpVE+iP1QPnloOz426DM++k41PqJWND4pnyw+lxFEPunjUj4hOEs+QLdPPnqmOT7rvSQ+2y4tPvpONT4cHjo+bX40Pg9MNz670kc+4ns6PgsYWD70t1U+oAo3Pt+9MT686DI+UNAyPgckOj46YTk+9h8xPuElNT6b6yQ+6+EZPmdxEj5LWg0+np8JPjmyCD5XDQw++yohPshYFz4lLh8+CrcjPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf5EYBT5BX6E9y2iTPQwyjD32Wn49GRp0PeOEYj2D8HQ9UAaDPcjPdz2oQG09dTttPWhlgz2t1JQ9jmOPPU7uij3BtI89XdOIPXpYij0kBno9+xRiPeQjTD2SBU09ScZOPagiUD1XhFg9ZYdVPS/LSz1o8FU9lcBgPTZoZD2rA3E9j1KBPRzyjT3KcYk9bhd1PU5Ecj2hMW09H9lWPQUvXD2u7mA9JL15Pa4PjD2wyow9QQKMPZyYhT3N9H894h+DPUzecz1ZNWQ9ljhSPSIUUz2v2ko980pRPSvkVT177VY9dzhfPUlrdz199HY9Bkx/PcFegD38Vn09vmqEPQtDjT3PR4c9nIl/PXYZiD094o49R6qSPU+bpj0B1LQ9y9mmPVfcnD1r+Is9lbGEPZt2dz0GQm09tpFjPSEVXz1KAlw9ZWFaPadbYD1nFHw9oH6IPYgykD2xxI89GYqNPZ2Pgz2KK4899Y2PPe+LeD0a9XY9ke2BPV+Ldz15oGA9rMtfPZmiaz3q4nI9s5J9PQjtcz1MDn09eVx0PSS9eD0xiHE9waZhPaO2XT0mf1M9Dt9WPSApXz0eC2I9OWtSPUJ/Sz1RV0o9bjtgPce8bD296XM97PRoPSR4SD3PakM9YiAyPR2jKD3ijTU9PmdCPWHKUz38DFU9lBJmPaMmcT2sFWc9anptPSWzXz07ekE92sFLPWBxWD1gYFY9P1tVPcoVYj1CNnE99PZ6PScTez3lJ2M9QWVTPftMVz1SPVc9QZxNPSeENz2X4Cs9M3M0PTRULT1FjzE99FZAPQ1bRD20mk091glUPZ/nOj1TMjE9f1Y5PfnnLj0xHh09YvMdPUkOHT1s7Bc9/6gVPVP5ED2UTCA9gUAzPREOYz0RbhI+tbJHPlzQQD6zNCk+bNQfPgj2Hz4oAiM+9Oo2Pn+kPz4DrDo+MNAqPga1LD59viU+mUcePpuYHD7etSg+YdIqPijFLD60Gy4+BgEuPtU2Mj5PQTQ+f+40PqJYMD5BuyE+qE8YPsUXHz6v9x4+wlEbPnU1QT7Julo+RHY9PiozKz7N6ig+2FIlPkyZIj4ZHh0+a3UXPsRePj4HwVM+NflkPgHNcT6Q3Dc+Z0wmPjpMJD530B0+/B4kPuElLT7i/So+olwnPi/4KD6t2CA+owcdPucAGD7efxE+bY4oPtAjNj6KvDw+S9NDPn/hQz6U5To+tEUzPnyhOD4NTzA+bsApPgGXKz5C/y8+p/UlPsl2ET6+UB4+j9c3PkZrPT4a5kI+AbJAPkxiOD5Ts0A+dz4ePjBUET6RazA+5zcrPjIIJT5X+i8+01gsPl3lJD5Njg8+j6IwPmD7SD7FYDo+X/o3PkzSOT4fXzs+krk3Pk9pRD5nXjc+5OQyPs2iSz7hXVI+YxxQPuNBUz6/t1s+YKtbPu4HSj55HEQ+vaM4Pga0QD5Lnzo+DOQqPuq8GD68Ihc+Hf45Pq4ZPj7KhEE+vgkvPrqUND7/2kA+/Y9GPrS7Wj7ucWA+F8hnPoAQZz7i010+GE1cPjE+VT4GMkc+9BI5PqnjMD6piDM+Cao0PtMkMD7l9Sw+CoI7PgoKOj606jQ+PZQ8PiOxOT6NZTQ+J304PhMGOT6q/Sg+dDApPialMT6Fiz8+LT9OPnriUj7jYEo+mJJKPqpWOz6lvCY+S1MkPo7PMj6ClkE+3NU3PmYaGj7fZiU+kbEvPs79GT6qsyY+OhM2PjgSMj74fDE+4k1IPrmZMD682zo+qKpCPlmoQz58zTM+qTszPpawTj50ojw+lAEzPpEvLT4zUy0+UEsjPgalRD6NPDo+rxU1PiHpNj6wLzc+PIAqPqF/MT7HW0o+j05UPkkOSz4YSEE+MyolPsrGIz5h8DE+kS8vPsQtMj4/byQ+NhAgPiz4IT77fiI+xFURPiYzDj4l3xA+mNYSPt1iHz5UOCY+fgkoPsNRIz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9+ae89TbCgPTqAqD0gIZU9yyR/PZIneD2NGlo96AJgPXj3Zz3xE3g9xx2LPfMglj2E2pk9a56qPWXRpD1F5JU9l/mGPUO2Wj3QuVA9UHo9PdotSj2aVmI9qJZSPbvyOj3kEDc9NZ4vPXQFMz2vUkE9zpZVPcPObz2MxYI9SreCPZ7QgD2CHoU9+gV7PbsiZT3dEFM9/ntMPauXSz2DIGI9SBJ1PT/nhz34nJQ9gtOcPZRgmT3iwIk9/W2EPeqqXj2MeFI908xRPQMUVT2/cFU9SRFdPW4Wcz0nj3k9Z/l0PXoncD0S0oQ9oWGKPYTFgz3bjYQ9BR56Pc72dz3jdng9s6SBPZxKiT1L5o09OpyWPUGDnj2gnaU97sqoPQV7lz2eu4o9j8N0PQJIXz1rIGE9L2tuPd+Gdz0KR4E9/t+APdYLdj2CIH09SaeIPU6jjj2Mepk9Xy6QPV9ujD06Jow9BPaGPSJddD2E7V89OptvPQ8igj1HEYM9gPtzPcqifj0MlH89op1tPU20Xz1cVV49EphaPTFdSz13PFY9R41YPS2ISD3YyTk9Ucg8Pf3QUz0YPmk9TFFwPShofT2ljnE9ncdvPU9iaz3rOms9pMFgPfkUWT1X+0Y9hVFFPUfHQj1+KEM9tadKPdcGVj2OMmM9t2FZPVn5XD3xBls9aeZaPRFHZT3Xs1c95L1YPcsYWT3/AVQ9OWFQPQmIWz22amc9A0ZhPRS8Wj0Hu0k95tpDPVyPQz2//0Y9OIBCPZd3Oz1a2Dc9OeU0PW9bOT1xEj89cjdLPWeXVj0clFo9Q6dtPUHaRz0jwiQ9InYmPWpbLz1RMi49EpIlPdjyGz3AFhM9sGMYPQhdKT3NYS09nKUyPbKrOz12Y6A9kq0qPh3eOT5E2iw+Uq4oPkQZMD7zmT4+toM3PvbKLD6sfis+TiU3Pi+NQT4SuDQ+OLszPnShLT5jqCc+ii8nPk8wLD5mvjI+ucIoPnj0NT56lSU+IvIkPnJFRT5lM0M+0pQzPnGpLT4+tCs+uDUqPq1JKT6ItT0+//U8PjPZOz7VOyw+tH8lPqMXKT7oti0+7MQnPvwpJT6p6SU+gjlJPlO2Tj6bT0I+7n4ePkNXNz4SXik+NGkiPhd7KD5H9jE+/pNGPj3RPj7hmRg+4EQTPmROFT5jzBY+9sYpPmXxVD7Wz10+MG5DPgxFbT79wVM+/Nk9PqBoPT5g0Sg+AmUrPsWLKj5mayw+YPQkPsrpHz7YjCY+5v0tPtgtKj664SQ+WQYgPib0Jz4DGxk+WZgoPlQEOT4cVzc+VcknPtfJIz4R+kU+2548Ph+yNT7rcDk+PXgePni/Lj7RTCk+IvsmPix4JD7/5C4+nFk0PnA3Oz4H6DI+5VsyPoXrMT7k6D0+P0ZBPsGePD46zjQ+gDE9PuqrPz4OGz4+wq8+PpB1Pz5LmkE+6wNMPo7nTD5Mujw+GoczPqiHMT5fZzI+1H5JPtVNRz5oj0w+4gFSPkNxUT7rRkw+peBAPr73PT4g3mo+pxtlPkJyZz54U2k+ykRNPp8UOj6lNig+mgEwPnBFPT5aLkA+2UpFPpVyXD7bRE4+t6dJPhp7Zj5ogkw+cxcmPik2JD4DwDY+mwUqPkIH+j1vZQs+AnUoPlrJNj5FfE0+GD1ePl1jLz6LMR0+8PwjPvltLj6Bwi8+xhI1PiHkOD4FBi8+2QI2PhzCOz5sISs+CuQvPsKsMT4Cxik+n9s6PrUpQD6F8Sw+bIQlPsNzJj5WYC4+sQszPvjsRz4xhks+CgsvPi3nDT62WxY+ikcqPprEIz60A0g+uts4PjMzGj4KEh4+yUAePhs0HT5KECA+ZrAgPovqST5Qjjg+c/cwPl85NT7YwTc+FZE0PrujPj6Rbj0+pgdFPtqHRD66AyI+m9clPv7OHT4Qwwc+CVgNPgSSDz6wYxM+9mcZPjgJHj6JnB8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH99TTM+7rIaPk/Umz03dZQ9+5GUPa1fhT2hS389yl5+PUtCgT3gO4M9AkqJPZXSnj0bbZM9qLiQPSJslj3q+JE9OvJ3PVDOUj3rQFA9oItHPa1qQz3YLD49bTMpPXKSHj2lSRg9vCElPYSQKj2BWT09uyVMPbTEdj2buIc95ml5PWT6dj3MdG49KtFjPcnMbj2db2k9pJ1TPVapVT3pJms9Ot+APa2vgT2ZN4A98BaFPd1deT1aDmY9qAtSPXcMTz084lA9VTBVPYjyXT1x12M9Frt/PWEviz0PI5I9yYCPPcRLjT0dgI09xnqNPcqvfT2L2mo9106EPTs7jz0IlZE9CQCMPe7Nej1iMns9pE6LPUQ/jT3ZTYo9SFaOPZEFjz2/Mms9JnVfPSgMZj3lk2I9QSVnPR/9gT0bvX49EsSJPQBZlT2pvJU9CEyVPfWAmz08VZM9Y4uKPVniiz16NYQ9zJiBPS/pgD2imHE9aBVjPf76cD33L4A9du58PS+pdj2EAG49kgxyPaPRWz2KvFQ9MDRfPQuUXz3ehVk9xC1IPQ6ZOj1VTkA9xG1CPfXeRT1+YVY9eVhsPd28hT0bEI89oCKKPZBagz1VQnU9ql5TPXNiRz2AaFk9snlePckVVj3HkVQ9+h5WPS5VbD1dEHQ9QuxvPQ/0bD0dlGc9SmhgPeCUYT3M1209QWxePdptWj1WZmE9ZoBlPYP3gD33/nk9431UPWVjVT1rIkk9LpFGPcBcQD22Qjc9duk4PXIgOj37JkE9ivVsPb9kkj3JZ109CPNbPRYdXj1jg1k9d4JJPV/UNz1IsDc94tA5PdwEOT3pkzc9T2EzPWslJD23nyI9oWMdPQZeHj26/CA9CIMbPfGhFT0lSlk95bT3PZ9UID6T+hw+GjofPrPnHT5OGiQ+td8xPsJ1Mz5mFDk+OwI8PkSaPT5fGkg+MHIyPjkcLz7TPjs+yWI6Pjz3OD6mFTE+byY0PrG+QD4vT0s+6e0pPoPpJT6iNjo+UgYxPjGdHj7FcxY+rLopPs9lPD73rT8+ljU9PtWRIj7xmRo+7wgSPv1eCj44QRM+MM4cPuhRCT42iAs+9nUnPsG6KD500SE+EuMMPv/jEz71vTs+8bYxPkmpFz7n+R4+4vgnPmfILT4GHzg+d6A5PsveJD6bVCE+zMQpPgJ6Pj4dOkg+MVM8PrWqLj6gBy4+gKYjPoNJHT679h8+kI41Pne6PD6u7jw+9bQ2PoYINT5H4io+EXE1Plr0Fj72txI+cGwUPqhAEj5qAiw+OSIkPkwUFz4oXRc+8YQUPsv9FD6icR0+UA0wPvOMRD4Lpkk+rZs1Ph1RLz6IdCU+GNolPiCFKD4oOSs++GEsPtViKz4kUiE+u+QdPvuQPD5WvWQ+AG1IPh6WPz6D5js+eE41PsZ1MT6AbCo+vEA2PqrrQj7RvoY+OrENP5z7pj6JREY+y9IxPpskWj5/GVo+tR49PrxqKj7vKS0+048oPjpMLD7X0S4+gxk2PvavKz55STI+8pt6PkGKaz6/HjI+9DQyPjHuOz5+UEg+ChZMPsPgPz4ztlY+rSVZPqikUj6RnUA+JZ40PjdeXj7b7WM+oKFbPih4QT6VETM+vMEyPiY8Qj4mmTs+OF0nPqIqMz6uoTE+Q+o0PuKNNz4yczk+F4BhPh2XTT4c/zA+SY8gPvRZIT6ouiY+wIUhPlZOJD72Ejg+cC8wPueSMD6sWTA+IFwoPh3CIz7DFTo+5NZFPv8bPT4ELDQ+h5oxPogZND5kLTc+nZNQPhc/RD45wTI+Des1Pn3GOz4o+zs+FHkePv3LET5i+xo+bPYePiLJID6LiiI+PeIrPoD/Kz4mWT0+CXxNPtS3QD535j4+9Vw8Po75MD4SFSo+/bsnPnD/MT536zI+x+YfPoRAJT4vgSQ+r2EhPjVrLT4ORhg+dpoVPmfWHz64yxY+PIIRPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Eg8hPom2Gz75Kqo9d6KWPe1/kT3dT4I90nZ8PVeTfD08iH09cb1/PU10hz3XKow9YpJ/PS5bbT2JC2o9WctVPdIFSD0V9VM9y/xXPQCdST2XnD89/O4mPbUpJD2zBi09MMA8PTu0RT2S5Uo9q3RaPfLZWT1AfFg9wRl7Pa0fcD3Kn2c9aiRgPXxEWz2cHF49hoBiPQQZcD07lnw9kwKCPYjagD01wH4980OBPZkqZD3cMlU9CzRGPZHcOD0pTkg9NTJgPVIJeT30b4g9FQ+NPU42jz2C0JE9tH2OPbqXgD07lXk9teRzPbntez28q34907B+PW7VhD37OZc9PgOhPXBelT1UUH09Rgd6PVwGgT1dVXw9bZtsPfDYWT3jeVc9jhtePR9SWT1YpWA9HiJ+PRVnhD01OIw9DJSEPaVMiz0T6ZI9qYaQPbz5jj2gZZY9i5uWPWBEjz3bd409riiCPWv4eT26SnI9xgZ5PRBOcz3dnW09VhFwPX0gZz2olmg9FpByPeGvZT1ATWU9fwJtPSApZT1YT2Q99WNlPabHXD355VE929JIPXzdTz2oO1o9AYdoPaPlfj0BOn09YiBrPUUKVD3DVEI9+NBDPfHERT0b50g9QqNSPd0BXT2TgGU95vhoPcc/bj0unHg9WT1+PRjReD3tam89MjZlPeEUVD3flVU9p6hQPUHRVj1vrXo9Q+uCPV67gz3MmoA9mD1iPYPWTj2s+0A9pB4/PQ6iPD0jPzw9YeE6PWCaND0GFzQ9wrM9PQZUUT2zKno9V5JePdk9Tj3Sz0U9eHM/PTNYOj0UTUs91qlNPb9yQz2PuzY9iDw9PdoQQT3Pwz49+IYnPTs9Jj0Z6S49vpESPa8UCj08Mg49IAvDPd34KT4JNiQ+0UccPttVJT5Guyk+Mh0xPkZNLT4j6yg+If01PhzRQT4GfUE+E9g4PiQhMj720io+gOM5PvYhMT442ic+bDkrPi3VST40O0w+SnA/PmzfNT7AYTo+IqU4Pho/Lz6mxys+ymIpPmFXID4HmR0+cPgiPnVbLj7IryU+44MKPqTn5j2ilL09iIu5PWsGoz3xsp097ZndPR9UBT49gTE+erZCPuzPLT6N4iU+yYMtPvlTJD403hE+FpMePmRALz6JxSw+dRQzPiPyQT7aCjM+wFMsPgnKKD6dhSE+NmEePu78JT7H7TM+XJY0PqScND61kjE+1cYsPp8+Lj4pETw+v2QnPk4gHD5ybho+1TEhPq7NKT6oJhQ+bnsxPmocNj4fjS4+kV82PuRJUj6ItCg+a/gUPqWEDj6Oiw0+L/YQPgcXHz6XGyQ++kQgPsCYID7JaCE+QMdJPgL1RD6qnCQ+jpQvPrq4Wj7H2mI+lu85Pk/HSD7oMzQ+Cc06PimyPD6AMCU+rIIhPuQ6Hj68mCY+72sxPjC3OD67nVY+PpOXPpcXGz+MlpE+dTX3Pd5rDD5TEjE+k5UyPoeLKD4BGjI+P204PtgmHD77TS8+VRUxPmm4ND4uzDA+kQA6Pui6hD6Ohmw+0B0tPpokMT79I0I+gW9UPoPsTD6M9D8+tvFGPondVz69dGk+CaRUPuBwSD7dUTo+LopBPg/9Oj7lbD4+S2k6Plu2Lz4Vkyk+DoE1PgaeNT45eDg+q+Y2PnJ/JD72aEE+GFwxPjbiLz5PaSc+hnQdPnEHEj6r9hs+OHQkPsiNKT45IDg+0fdOPoIlLj4yXyc+wTAxPqeNND69YDU+FZc5PiYFQj7HNkU+dMJCPqJCMD5kryA+j0cbPtUCOj4VJFI+uZtGPv9EPT6L4TI+yBojPhEOET7nnxU+k/8fPrAPIz7AcCA+n6kfPrGGLT4daDA+sfM4PuKmSD6w7Ug+GqZIPmSGOj7q6Sc+qvspPmPRKT4IoSE+XZ0gPuysJz6cYDE+VdIlPqVWMD6X/VY+elkfPgyRHD53XBs+inwkPsEuKT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf91v0z0QTsU99YWXPc3uhT1PdoU9aOuDPQ/bdz1sbXs9LwWAPU6aij0QOYk9bPuLPXEmhz3b44s98e6NPStyjT3282c9+H9KPfEeUz1ETkk92flGPUIiQz3ebjw90K4+PbdiVD362nA9pbl2PZSjeT2Qomk9pjtWPT0mRz2B6Uw9NdZMPfOvVz1n3249saiDPaSzjD3i/4U97zuGPfvEgj17NXQ9tr9yPSslZD3c9Es9YRxEPUMWPz1EwEc9CMtePRYcbz2om4Q9lzKTPRbVlz1cmog9YM9zPZXGcD0AMYI9wZV/PUD6fD0BeIU9eaWSPex7jj1lXIU9/gWIPfNWcz2NZWQ99plfPSnvej0OvoA964p+PQmEbz2GyGw98w12PZyBbD01R2w9//J/Pdgqgz3Jk4I9CHN1PRePeD2aKIk9heiSPaopnz0IgZY9u6CTPWqQkj0EjII9LaV5PYlkez1kyGg9rchkPVzPXT3/BGE9eE9zPVjTej0lq2o9GY5pPT/aZz2f1FU9yQdePfyHZj1XgGA9FUNnPc5ecD1tOWs9N6hYPQfTWD3dVms9aM9/PaZOfz0OwXw9bfVuPQ/+YD3lg0c9+lQ6PbvGQj3/W1c9DiFYPbQAUD309WQ9lyaBPUkDdj1woGA9wVZHPb7gSD0YXTY9qUo+PRacRD1flU09eUhbPVytWT3p/U49a0VuPep6gj1kjoI9hUBWPShkOj2GLTw9tmY9PbkFRD20/UY9izVHPUf+RT0dCEs9D8NBPVPWRj17yE09ZdpZPfjzTj3Ljjk9e1EzPYHFMz1tCDY9UpNIPRXWmD0zCa89rsJFPfaoNT3ppDM9l7ArPSIeDz3vGSE9HKRTPYbsXT0ntaw9Un7HPZ6NMj6PASo+aRojPrhDIj75tzM+Zhg6PlD7ST7NlDg+IQAzPmaYLz5HxjI+BVkxPnexMD5WaS0+NAwxPu28Pz74Izc+tdkiPnVaIz6CKjU+BItOPrXdSD45d0Q+WIo/PndIQD5pH0g+PQ1OPudwOz6NvC4+ks0kPqd5Jj7FMTE+KEIwPhyQED5WBAY+XTkEPgR7/D1U6/Q9WH/XPRY6tD3Ej6w9EonxPaqnHz7fFSc+tvcmPgHTIT4zMPk9v1LvPTgxGT4t1iQ+9egrPlszJz4jVjM+9totPnw0KT6vDC0+yw0rPl44KD5PpSE+efoxPu1FPj4epkY+ofs8PqZqJj61SCg+LTYrPgtaJT7jiTI+lJcoPh9vJz4NpzA+OEUwPrVlPz5b/jI+5v8sPt10Kz7+HDI+ySguPuVjOD5jVCs+iz8kPm7jGT49FBc+HXgQPmlAGj42IR0+P2UaPqujID66qlY+oGA+PgTuKT6OqDg+TrY3Ps1vLj7mr0c+gXE5PpMmEz6+lRU+QnQfPk8vID6Lsxk+yAsVPlBQHD6EODA+gdWOPjWRkD7KVFc+asIlPqPjBD5vugo+u6w0Pk1cXD7McGA+gQN3PqgRNj4rB9A9vSnlPbUCNz4kq0M+AEVPPlQyTD7Of08+lLNLPpU5Vj5BXVE+j5xEPu/FQD7ydSs+79c1PpWXPj544EI+JHhDPibCNT65qTA+h4kvPjbGOj5UdkA+5xk3PlKVNz4y7j4+ZJhGPsU0PT40xz0+gLU4Pi5XNz6wgCU+uy4lPnxNLj7Q8j0++C48PmgtOT5toyc+QDMcPnJDJD6Mnik+7cczPqpcQj4pGyE+fT8sPlabQz6umlI+yINZPk+GVj4A7js+034yPr3gOD4ZQzk+IIw4Pl2ZOT5nOUs+HFQnPnkqIT42Nig+xncpPo4SKD4KziI+NJ4gPsXXIz7Q7iE+hjMhPqq8IT7p1x8+2RYjPpnyGz7Tbjg+LjBIPkL3WT6TCU4+z0g4PoqeLz7IcSY+nx0qPoG3MT5ARzA+B/8tPmH1JT4VAio+pM45PvBxOz4GqDQ+QegkPhJzOD6Ds0Q+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH++z+A93sSnPfHVnT0jnog9x2WAPVqMdz2XpYA9+lSPPUm0kj3tiZg9Y1mUPaTKlz1sapI9KBuUPRG1mT0nzaA9UEqIPfQccz2HLWo9bzRiPfuoTT3PJUU9VrY6PVdBQD1r+F89csN2PX4vYT1IHlk9JJJKPc6vSz3cwVE9cIhXPTB8ZD1aRXU9TCaHPQxzkD0lB5Q9IXeOPRnChT0c0H09CKNuPRFYWT04Cko9iXhLPUmZSD0WVFA9kGpkPXQHcz2tZHw9De+QPS9ulj3Hloo9ymZ5PecUcj0W+Xw9H9+FPd3lkj3XsZk9yMecPQZhlT2wzog9BXhdPdQqWD0kLmU9Ch9pPRY9fD1XopA9h7GWPaN0jT1WHoc9svyJPbwBiT25xm8955t+PTkkjT2qAoo9/mODPbM7gT3R4oU9H46MPatqmj3a65g9bt+YPUvllz0eOYQ9tZRnPfUNaD3UsGQ94wFfPUy7Xz2s5WE9NY9nPZGCZT1hSGc9HUVdPWJKVD094109q8FlPSFkYz22cm89bPVkPWJOUz0A7VQ9zLtcPVwjXz16DGQ9oIRfPUi1ZD0HX2A9aHFNPZmtQT1FDWA9YvRTPTzAWT1kyGQ9HcptPWsCbT3TG089I7hOPYLeTj1rOEI9EeJEPXQzRj2GGEw9BJU4Pa+wSD1Ookk9k+5NPW5lVD0temM9+qlbPfyeVz3ZiVo9NX9WPYoLSj1PHUk9/DBgPQNsXD28UVo9FRhbPWF4VT0P6D49oxxCPYHjRT2NRUE9I+tBPd4+Vj3feEw9Z0dEPaoZSj2KpEM9dP02Pe2JMz0t6i892BkvPZagJj3tfDc9RytCPcJvPz197QY9+CsrPR7jzj38DhM+leorPqUUND4yWS8+hWYdPlfRLz4S2CE+ms8uPg/uNz4OvDg+vIgpPogAKT7RpCs+3EYsPunjJD5HbSQ+lZknPtZtMD7oZkI+bLI4PmI0Lj6EzSo+gy0kPipeMj4pIDg+HaBLPm5mYD7JoVw+30RcPt9UUj4qZUg+Ahw6PooRLz4EC0Y+BFRBPluEND7hAio+UJssPjtfPz7hWjY+urk2Pk76Oz6RqBo+QDMGPogaBD5oXxA+4QgJPnCaCz5GeCE+8BkgPjjzEj4N+S0+JM88PjaLNT7gXiU+nOAdPgJkFD5SGxU+608cPunpID6QFTE+FUQmPprzLD5c1D0++npFPswvQD5m4jw+C1QwPkW5Dj7U2Ro+uk0cPmlhDT4sfRU+1O1SPkhQQT7+uTM+eXgmPjp5HT4OmA0+vPsPPnL3GT6FlS0+8j46PsxWOz679ic+kzAePvFiED7OdBY+LnIgPj1/Fz56VRU+3PUtPjNNOT6nkTw+7Gk0PkraLD40ei0+aE4zPk0LMD6CXSQ+MGoYPsASFT5DLhU+2+oTPinLET450BA++rUVPnomIT5urSQ+7mhDPpmlez67/Eo+5OEkPlW+Lj5LPE4+VR5TPnkZNz71UgA+4PnaPQLe9T3GBAE+I/IaPlRUWD4VIko+LlwlPvaOPj7DTFU+Ejo/Pt43Mj6vqTU+D0svPmjTPT7RGFQ+389FPhKfOz4MuiY+GNoYPilRLj5LWTk+3ZM2PovOLj6nAyk+LDgfPlCTKT4psj4+mRpRPmxqQz6WujM+j7MvPv0YNT5sZT4+heNUPlsOWD6BmUk+9V8xPmmtID6tGC4+BZVEPn7mUT6GHEg+IeQuPpsvNz76o1E+obtGPjYOLD5gKyw+fxYtPmffKj4RmDc+fhk1PhgLOD5uKjo+Jc5QPhyjKD5+IBg+fwAkPgO8KT6rlyk+wB4fPvbbND78GDQ+XWQiPvFPNz7K/D0+zJAzPkFXLT7DmiI+zhMiPtA+Qj62+Gw+EL1nPmNgPD7QISU+fGIlPqlpKz7yXSw+0k4pPmjeJz5cBD0+aZ4zPrgDKj641Do+b3c7PtDTND4zxSo+u6UoPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/aVf6PS70tT07Eqk9MxmWPUF/jT0m6oQ94eGKPWUZmT3D+pM9o02OPVACjj2TOJc9KN+YPSxonT32R6U9hv2fPXSrjT2dMYI9i/pjPWqAQD0PNDA9IBEzPVz+Pz36LlE9IC5bPe6bRD0mJTA9kRAuPeXVPT1O5Gc9wAFWPeYxYz1hcXk91BKDPZzGjD1f15M9KFOAPXgPZT2QjHs9Km2BPTVBgD28Fm89wAxyPRxgfD0iZHA9hmBpPXW4bz3PaYM9AliBPadybD0/fl89IsRbPQmPWz1uJns9MfySPVWjlj2MaYw9QpCGPVB4hT2W5nc9GaGAPe4mez1WX3w9DdZ6PZ/vej0LDIQ9DOiWPU4lkj0ULYY9KGZ1PYTKcT1yHnI9dGJvPdoniz1Fy5w97RKSPboGjz0Pa5A9Mo+YPWk7lz1XSpA9o3t1PaG9az2qdms9NHZhPZJ9Zj0G4XA91QFoPcBvaz2jZXc9n8t2Pblocj0KymA9/z5lPROqaD3W1lA995ZQPXFVSz3Exkk96R5IPaJiTz119Vc9vzdaPaguYT0JC3I9rvNqPXcrVj13vUY9jjJCPVZVRT0hSlE9EABtPV9zgT2VZW49o8xjPSI7WD2yl0g91UkwPVd1MT2w5Tc9wLE0PZHNPz1iMVo9685kPdLZWj0wE089APNLPbAATz0UxUM9qJE4PXwoSj2rLVU9dC5VPWoUVz3Ws2Y9sddzPZNDaD2og1490o9RPQG2ST0uHUY9qwRRPXrVVj1y01c9Xv1hPSaDVD35J0o9JnxCPRjERj25JDw9sw4qPS6SHz17RBs9Yy4dPanaMz3UYUU9/sKEPQ65vz2XcM49oE6iPT6xvz1SKi4+iMxBPl6lHz42MhY+NB8XPkceEz5+4xc+EioVPjlcHz5RjCg+8tAnPio7HT6Y7Rc+ROcnPv83MD6JVR4+4lYdPrMjLD6rJj0+tVkmPjGXRj77kFQ+NDVJPhJ9Lz6t8zo+kZlDPr1NRT61jDk+aMAyPgJQOT7xFTY+n9QvPqv9Jj712io+oDA6PsbMOz6Zyyg+Uag1PoSUTj5Asz0+oZEnPinPID5Wbh4+eWAmPtlGDz49zhU+OAgdPkwJGT4/cR4+VC0oPmtnKz6vXSU+aFUDPtbF3T1WYrk96C2mPXpXmz0fFak9duSvPfWsrz2Wbr09C9z2Pcy3HD5wChY+Krw7PvGgQj56kD8+kcE+Pk4QPj46WSE+YcAVPtwAKD5zui0+C94tPswKQz6pojw+CDI6Ph34Nj503zY+OlMwPuu1Jz6amjQ+ldM4PvJ+Mz4y0Dw+K5tSPgAWJz6c6RY+Y1ohPmCgIj7QIRQ+BCISPiE1FT6cFRw+bzEpPvPHHj6oIzM+ynw3PkhqLT7RIhs+0uYePqaWID66xhc+h0cOPgH9Dj7YoBE+FiMXPtGZGD7WSBo+5zUUPp/QFT40RRs+TtwcPiRSMD67+TM+dnCZPnubkD71CEw+fRMMPjB3Jj6Cqlo+RCx2PjJ1hz7ikIg+9JQgPgRYvD0STcA9Y5fJPcmv1j1wC+E9/0UDPqo0BT4XihY+IDY3Pv3PNj5l/Tc+4ZE3PrncKT40lD4+gOw8Ph8CJz4VbzI+8jw4PssaKD7PRSo+utkzPsVcND6dOzM+QpYwPurmLD7rGTU+ufo3Ph1JRD7m0EQ+5a1FPmzTOz4B6jA+toIkPlVlLj7glzk+HTgzPnRTPT6U6zI+OXtDPry3PD6jWkE+5a9JPnGTSj7kpkw+/rJMPkxsLD5xaCs+7gIxPnKpKT79rSU+Ct4jPhxnJT7Omyc+ldEnPvleHz5FxSk+bjAkPvgfKD7SoD4+e6IyPlFAMz6MYDo+gEQrPsDIHj5xI0Q++ktVPjf6Sz4IvCg+LQ0nPtlKKD7BNyg+yk4uPoHuLD4fSiU+Rq8tPj9YMT4ViyY+67YnPh4GKz5+by4+0m1KPkyRXD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4WHHz7WVdg935CTPYsxkz3Wd489gyeKPeDKkj0qWY49TmWIPWEaij3zk5Y9iACXPQqdjD0GI5M9VKmaPS/xjj2BWGo9skNQPeKiPz2kE049oGdYPcjCTz1+9EU9wbxKPUwnTz0XGVg90WpNPS7eSD3oA0w9CRlWPQ65Zj2tZH49Z11/Pb+Nez1ZJXs9pgd2PQDgbz3cmnQ9zCWOPT+UjT1R1oc9BcF2PR4Iaj2EW4Q9KXaKPZ/IhT1PNIQ9YV+BPaCmYD2WlVM9vXBUPcZwVj3FVmA9SKp6PRidfD0o3oE92p+DPch0eD3joXw9cmN7Pduqiz1lsJE9Q9eQPQ1flD2iJZU9EpmVPX1Uoz18C5Y9oHt2PWcHcT3yY2o9D/RpPc/Fhj31lpo96WWbPY2NkD0MNo09eTqPPd1RjD3u2Ho92FlvPV8AaD0SB3A9vGZwPU5Ocj26/3Y9MoRtPeduaD13hWQ98ZVxPeJPaz0EY2M91UhoPdwCVz1DQUc9xUZMPS1bWD1d41c9PnpiPZClaz0W6Xg9anV0PcY4fD2SK4M9POCAPZS1WD3i80A9JCZFPV5tRD0UEko9GXBTPSXoVT0LBko9CvY+Pe4tNz3FWTo9M4w3PbEULT2L3SU9sMovPdfKUD0epFs9k8ZOPSnaQz3NbVE9TyRTPdbSPz19kTI9jA41PamCSD2kr0w9DphWPSn3aT0MA289aslmPSfxUz03S0Y9hbFRPaHyWT22M2M9tlBvPYDHbD0Pul49K+VRPchpWT3Vyj09Lr0xPYZ7OT2PyDs90E07Pc0ILD0Mzic9Q6cnPbSSEz3QHQQ9n29EPRBiAj4+Gmg+zCuBPqVyWT52lDA+l+U1PjDFLD49xiQ+AZkUPvDLEj4oBhU+zKgcPh/cKT7xRy4+8sojPtjiIT5EbRo+V4AOPtlzFD6kKiA+agwfPqOyMD6GNT0+j9k3PgRfKD6VKzs+f/lIPlLdMj5mFDY+Ctc4PhBMND5jbz0+dwkzPnOdKD7DuSM+iAssPkE7Nj6e1i8+seU2PpfEOD4RfzQ+mMU1Ph9kPj6VATE+2C04PnNUNj4BWjg+new9PiAmTD4mkSQ+vPoVPrpdJz4kvSQ+zL4kPj7bIz4VDhA+7PEWPnZh/z2af+k9vHIDPlZnIz7N+fM9lFXEPXSvsD0Qubw9ZHTFPaEGxD1deRM+2zQYPhdRIj4PsCc+0jgnPjtlND5ESDo+/YEvPlFuJT4GwzE+QzI3PrggMz6+Siw+a+MoPvoHMT5F1ys+YFAcPllpGj5KfDE+s1JEPvLOOz48Pjo+SLMvPqHlKj6PrhM+fU8hPmyLOT5F+zU+CpMvPtmgLj6S/C4+Gqk5PuFCLz71ITA+3upBPnncOz6L0y8+xrssPtWkLz4VlCg+BGYbPlj3GT7WzRo+Br4hPlbVLz7vFjE+VU8nPg6dLD7xTSQ+zWoOPjBlCT7bjBU+JXkpPhoeNj7tyis+SEQePot3GT7ElzI+89NbPoC9fD4vbXE+p2NXPidlRj7xFBM+nDTiPRkNtj09CrM9OsyqPQ5voD1ffnw9kOCXPVGUzD0+tQg+KTEjPgOoRj66gFM+P9JZPjpsOj4FER8+1yoZPsjmJT7I1yM+evIgPoJvKT6x3jc+TNo9Pn4lMj6LjCQ+W+AzPnSMQj5fh1M+XHJaPvAkTj4IRTg+rrAuPqILMD5dzzc++oY3PkEXNT4NbT4+L3Y+PpSJQj77Lj0+V9Y5PqEoPD50B0I+fnxIPr8WQj7sszA+Ms8uPmaOMT5ztDQ+TTAuPh7ZND4NSDU+4ZslPiUpJj4GUCY+nywjPtUOHz5JRyY+lhgvPv0UMT400TA+glsxPiVAMj5ZjzE+QcNLPkqvKD6x7CM+3vIdPsSFID4OTCI+MRYlPrh+KD7pvig+vjM1PqGhTT5V3i8+XbYRPnYdHz6vpC0+ZMErPhjRIT7hHxw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+riAI+lufOPc8okj3vaZE9v4GKPTaLhj33A449iNCRPajalD0udpM9xYqYPS6PlD1LI5A99p+KPd1Ufz1tsmg9wLlVPcSORz275Eo93PRJPVyfXT0lEmE9w8dWPSJ6Tz1T4EU9etlDPftiOz1nNTw9oMFNPcU8Wz07HWw9f89uPa/kZj3gtWg9BaZlPYilWT2d1W49ztaAPVnAeD0hY189LUZaPczTXT1UQGU9g92DPcTzjz01tos9H9KCPdNwVj0mJUo9/2hUPUi2ZD0PpG49bS54PRexej1EqYM9JFGAPc/dgT1h9Is9FEGTPUVnlD0vb5Q934WUPRfRkj20VYY9ZE1/PQc9fT1Jk249ktRXPdHQVT1gonM9YkN8PTpAej13CYo9XkGRPZ7ykj1iMoA9jtxkPVm2az0jBHA9B019PdMdhT1jwYU9eKiCPRJCiz1QPYo9HmCGPVJ8hD20p3c92Px1PeKqbz3tsmo91eNdPe8yaz1sPGI9yOpXPVZnZz1GrVY917ZePQa4dT0u9nU9P45/PcZrez39Wm09rQZmPTxOWD0XZ1Y919lbPRSbWz12+lE9gl5MPfcMTj3Mw1A9DPhSPQnKUD18GDg9a1UqPaFlKD3j0is9PFguPaa8Pj1g3Ek9JBJQPRV+WT1NzmM9hZVXPbRCSD2pEzo9c5kyPX4NPT2oAFw9NfllPcUoXj0PpFA9/XJGPTElQT1C9Tk9swNHPZtYVD1pWl49St5lPQjeZT1PoUg9B3YuPdIdRz0Y71k9aFNSPfXrTT082WQ96J1iPfGXOz1aeEI9d0WhPXP+rj2NR6Y9qXViPUqnaj2uTxk+vrVoPrSPdj76tm4+Hz44PqUGHj7lIhA+doYUPtWZHj7Chx0+Oe8NPgsZED76FyY+M4QzPtjYNz7liTM+648jPgdDDz71gQk+VLMfPlxTIz54hCs+SgUpPn7bJD6dByo+mNMwPnfPHz4YOSc+teIlPozUJD4G/iM+t04nPjIQMz7EyCc+LTwiPkmqIT6wJTA+omo5Pk3sJz5RyiY+eGcdPgNAHj6cDDA+gAssPoKWND4wKTc+dgtBPlI+PT52NTw+u48uPoQgLD768y8+W8syPqCKLz5vIDA+fRc0PlyqLz70qDM+5zg7PncvQT5k7Tg+1KQYPtEdLj4P5iM+WiElPuWYLj72Ujk+oW0hPlc5LT67Szw+SYkaPuBFCj5vis89kWGuPbHO6j1x+xE+6j8iPgzoMD6uNzY++9k4Pkc5IT5aoTE+yJUyPnZ6Lz6m8y4+GdgpPscBNT7tBSo+B0wuPtkeNT6UrDU+No4wPlZHNT4HXi8+U0QsPqf8NT6BfDY+Z3czPs9zMD7A9Tg+BE1BPgAXPz5smi4+C0EuPonGMD5NcyY++2EgPnKZIT5XyCw+yvkpPsDzLT62J1U+e8VdPiwAQz5b500+9UM+PteaIT5FEAw+HGUPPpQ6ED4s3ho+t+EgPuEJED4iUBU+XLgePlOKHD5JLic+958UPoh6Lj7HPE8+nHEmPrHO7j0o5so9oyzOPadn1j3NpNY95MmVPVYq3D3S+vY9dBP8PacPEj7tUjA+GaNNPgd4KT6tGCs+LQMyPqNgMT7jBjY+aL8+PgCzMT6rQSk+PDs5Pr1ZRz7IXTw+4sVFPseRSj4+ckk+i69NPu//Mz6mRy4+rIE1Pp0/Kj4APRs+B1wgPvZwJz6ORCg+DR0hPjupLj60Hyw+R1Y0PhLJNT460TU+pa1MPrW7TD4hbTI+08IfPo/jIT4cbSw+SoIwPqSsPD6X3zM+Qb80PlmXJj6iUhE+kpISPsKYJD6qHy4+Z8IzPgHULz4mGzQ+MQY1PqisMD5l0h4+rQ8hPqdLMz4pGiQ+NK0ePmhrIT4cCyw+MEYjPtrhID4Ll0M+/MoqPltLLj7Pzz0+qu86Pse4Mj5OQR8+FFozPppHNj5tby0+WEcjPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/kiQOPtr4yj0MIIc900iEPWUZhz0eEJA9PxyWPWUmkz3wNpc9FHSYPWqfjj3UdI89U/OgPSAAmT0tQJc9nCaMPTIIez2tl1M9gdxTPehAXD3m6V49zxlZPQZDXD0hQ2E95XRKPUd6Mz1dDEo9w3JePYHrZT2zOG89clZ0PVMSaj0gzFc96mdSPSSLVj2TV0w9MbhZPfrEeD0UuXA9tFRtPUEMbT2ruX492bR+Pa8efD0xyIk9+kyFPYrsdT3f7Go930tmPfp4bz3lDoA92J1zPRVBZT1AD2M9zvJuPTqPdD2tQno9YoaFPel9mT27wJw9Kf+cPRytlj1X94M95uJZPfG2Xj07U1o90llWPX+mWT3j6mw91ll5Pf2Kgj3j/4U9YvCGPZ1ZhD1CyXI9z6pvPa1dZD2gOnQ9EZt4PV8fhD2pkos9ysWOPeiPkT3MsY89ZYGHPW61gj2azH49uWJyPaU8YD2prl4954xuPVZecj2mv3g9N3GCPeofgj0yJYw9p3+DPVtlhT3t7YI9Rt92PbFMbT0TgWE95NpkPanRYT2aVWo9A0x4PSTXcD2uYWg9M/pYPb2SSz1T9Ug9D4pXPSUwZT3zjF49vvRLPawPPz1nMkM9ABdcPa6rWD2yBko9ksFTPci1XD08QWA9SL5HPcHzOj0lcTY9WwY7PRPyPD3GlT89z19bPYRAaD3mD049E/NSPc2NWj1aLFo9ikNaPRZUWz1//0g93zQ9PeQtND2w9C09ei0rPT/vLz1ggD49Cr1SPY5YUj0wYVA9DfVQPVVPQj2DyUk91w5TPWEpkz2znZg9aGGYPXKXvT2u3AI+ydEOPsziOj4n/lQ+cHtNPj14GT4CIhQ+JiMWPkbbHT716hg+I0sgPitXGT5hyBk+dRAlPoZ9Jz4Gcio+bAIwPjo/Lz5zviY+rOYbPiGCGz4bZh8+y7kdPsh5IT71aCo+wXwpPhmIFj5nGxE+7t8ZPni3Gj54JBw+KjokPixjKD5MhzE+0nErPgYxOT79jzw+Ry0+Pm8RQD4T9Fc+mkxMPpf9QD6Z7zU+Vf0yPqNsPT5O8Dg+0nMxPiCyPj7R+zk++3QsPq7POD4sLkg+guZGPuckOj69DzU+ZLw4PgsUNT7PSyQ+A1H0PSF//z08lgs+kgIPPpzVBj4lGig+ZtAuPp7kNT4cIzk+cn5HPhVGOT4HSTg+Jrc5Pm8jLT7VTBA+52oBPku5xT3xV7g90mThPZ8vDT7HHQ0+lA0LPr4CFT4j4B4+MdkkPiULLD4d/z8+jRRFPnsELj7DpS8+uoo1PnglKD6eHyY+t0AtPkYoND5L4kk+vxs8PoJBOT53vkQ+JNQzPqkmMT4VTSY+8ugdPqoZGz4XtBw+ySIxPuVeNj5EUEQ+63g4PtJNNT6B8ic+dKYgPs1YID76bR8+U0I1PmElVT5nSk4+0fw9PlSDPj5LJjc+qWsiPhTAJz7yRiQ+UDkmPk0bJz5HVhs+ZZwePuyYKT4F6xE+FahxPthS5D6c05o+TJcqPv38CT7xmSg+9F0WPhgc0T2iWao91g2XPZURjj2di3w9wRLAPZeACj6zTB0+7usFPkldIz4IPi4+KgY8PuHQTD6ks1E+AMdLPrARMz7etz8+mTowPs3ENT4T2TM+o84vPu9rOj5gGkM+yDc4Pg/4JT6q0hw+NQEaPj/jEj523R8+qMcsPuB2MT6e9x8+w9MXPjRBKT4XnCo+GdYgPtSGLT55FzI+3swzPrEONT785Co+rX4pPqPeKj4pqjI+4xAqPscEKz7IqzU+kLQ0PtsPQD6HxCE+tPcnPg2OLD7W+y8+RdooPnAsJT58fDA+crQsPioxKz6DRjA+mUUxPhEDKj63RiY+F7IkPhDFJj4p4CU+EV4jPoEiKz4WXSc+x1w7PqkGMj4lgy8+pkIsPn1hMj40FTI+84ssPkDoMj5c9iQ+yu4ePlZVHz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfydGOj78Ze49JB+MPeqRjT0BX5k9T0ejPd+hlz2lz5Q9Gp+SPUP0mj3gQJg9MVuSPb33jj2QW5c9zmqMPXcmdD1IYGY9c1VgPcE1ZT0mc2Q9i0FlPcQPUz1DB0k9StpJPaBGRT3SHj89KzdTPW2iYD01mWA9eA9hPbDIbz3V5mQ9RghoPZETYD2NkWk9FhFxPfHZdj0Ic4o9ScmJPfJQgz2FE4A9wYR/PedqZj2nAV89UhR9PQRUgD2YmWU9FW1dPSvyZj2rlXM9SVCBPVJPgj3cq3k9G7V1Pc2zdT0exIg9AoWPPfYTkT2JAok9LJiMPU7Jij3VtHc9Q8hyPXz5ej2wD4U9kcOAPfMrgD0943097Dp+PbeRgD38fYM9WA+OPXqtjD0YMIY9PT1zPSx3eD3FAHg9+wqAPWmmjz0y6pA9RxGJPZ/GgD0ln4c9Zzl4PR5obT2jGGI9OWxWPR1mVj0uZlo9hCNxPeoYeT1Zl4E9P/yIPWZfjz1LWJM9ftqGPf9sgz1OAIc9oG+BPUUKdD0yA2E9r29JPRHzUD3YbmM9vT14PTLthD05I2s9ualkPRtIWj1mTFo9u99YPcdNUj1tcVY9ap9PPRRGPz0MS0M9ie9MPZyBZz0Nu249/cRbPZj8XT0Xu2I9Yh1hPUQmRT3ucEs9KLxQPTJiSj2kl0k9mitLPeikXT2ohmA9EOpOPZwrUj00GFU9JP5UPdasTz3hWEQ9dXNDPX1eTT3E8UA9d+07PRbNPD3coD499JJBPVjSPz0B7UU9e/BDPUJ2QT3mOj49NPN3PWyekT2Tzgg+y1gvPnAcJz42fxY+gJA0PvAcMD6i1yc+uAshPtD1Hj4r0xc+lEMNPoi6FD5FKis+E2UePk76HT5Aoh0+RXwePh4fIz55Ayk+lFYmPgQgKz5TTC4+gz02PuExLj4Otx8+b2MhPp2JJj6AOS4+Ku8vPuxdJj75gBQ+EvkYPlujIT7wihs+PkEnPsGnLj4TLiQ+wBIhPgOjGj63+yA+U980PoiAUT7oF2U+FIVcPvnbRT7GUj4+j4I2PgroKj76bi8+l+c2Pjy3Lz5oYSk+WFEkPvFFJz4SjDs+6oRHPuuxNT4lXyw+vaUsPhwRNT4h/zY+6cYjPk2rCj4w5s49AtmkPTZujT05Yoc9DzqfPf99uz156A4+yWk2PvbNPz7Lvio+QeYrPqvdOj7ajTs+87g5Ph3oOD7ffCc+0ksaPhaoKD57FyQ+FgwQPspMCj6mqww+mgwiPqfMKz4kSyw+RRQvPoukKz56VCc+8iUxPmfRNz5u2iM+OvQaPq7ZMj4RTjk+hcZEPnEENz7M6zU+eYsmPmVcIz6TMik+/Tw+Pk+HPD5OOCQ+2ZwjPtZUJj6pF0U+MaJNPuKdRz6mOUE+4HMuPpALJT5pYSc+wj4pPleHQj4kwFU+5ek5Pt9fMj7akjA+43coPtaBHj7cHDA+MUM1Pn7eKT6z1R4+SPUiPiSLJj7dzCk+5B04Pkc2WT797ME+f/KHPiidJT7CigE+zKEMPpPlFj62PS8+IzNZPlXzRD5V8gE+tF/YPT/0Dj5UxTI+tDQYPvaFDj6uOxM+DgQkPnFGMj5IGDQ+pZ0yPp7eLj6o1B8+7ZcZPjL3JT4jRyw+k6EpPgrLJz6d/iA+DrNLPjH8Vj7FQi0+HbMkPgyYIz7dsCs+8Pc5PtxlNz79vDA+whEpPpp+Kz6GoC4+HNIdPjElGD4/WTA+gkk0PmERJz5X6CQ+TYolPj19Lz7dbS0+aO8uPunVKT6InSg+7YMlPiB7PT6rBEU+eGAvPsWPMT7iyDU+jQcwPiYuJj7TuS8+XRsvPqkpNj5IOUM+gi9CPneaOT4Rai0+BTMyPsSJHD6p1SE+o1ohPmkJKT5LSSw+6ooxPoL6QD7BjTI+vKQ4PsNJMT5nyTQ+sJU4PnjFND7Qky0+nmINPsd6/D0TxuQ9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+t0m4+PFAKPrp/jj0FEZM9gN+VPcy5lj3tcZc9CtGaPeicmD0Tf5U92guRPZLTjj2bUJM9y2uXPaVUkT3PTZc9u2SVPS6Ohj1JD249byZlPajRYT0L7k89E1dNPV6XRD0JnlQ91ltvPUqfZj13ZGE95uxgPevhYj0vvXI9J+J8PaxVaj2PzH49D0KGPdHShD0IcoQ9yISEPXLYiT2ks4U9ZQl+PSXmfz2OP209Y7hpPQpRdD3Xd389yK1zPYKbYT0SkGI91I9tPfcrbj1+RHI93waAPdhEgj0B3IQ9XHuTPeuPjj1D5YI9CuVsPV8Odj39Vng9K1R9PW1Bhj3d6ok9I06JPcuLcz1eOXE9vpt6PTssez1jNoA9QC+QPXrPlT07FI49pp2JPTyAej11+IA9xDSIPa5EiD2G3YA97xmBPZvUfj0EUGc9VYJnPUhraz1yw2Q9f8tnPXT8cz1c/mg9rBlhPQmnez3h7Yo9ZIePPXGskT2hI5I9U/mSPSGvhj2qyHA9qt1gPS3hWT2Tg2Q9ACZaPYcRRT3Dw1E9QSNiPf10Xj10ekc98q9EPduVUT0HDGQ9YzJ2PcgJdT1oMVY924NKPXX+Sz0rclA90cFePQJ7bT29xF89HO1RPSjoRz1PoT895pk/Pbq/Oz2E1z89uQ9SPQ4nTD0zyEo9llVfPXfLeD1b1oA9TCZfPcYOTj3vuFI9WCZZPfOqXT3T8V09uylWPWSLUT0SVVM9sVJKPbtBPT3yETs97Wk2PRv4PT26rUI9U5BWPYByTT0aokY9rJExPcXbQT3VhVQ9mvBwPYVvkz1SkHc921NtPXwTiT2hhR8+6ORMPqtaKT6O4BY+zJYSPpOdDD7PKxg+IfQYPkoDGz7bpBo+ElQaPpdHFD7eKRM+uU8ePg12GD4nkBs+YSoiPjaUKz6pxzI+RWItPrdkJT5DvCM+cAYiPmT+Hz7vEig+YUYsPhy8LT7sLSE+4yAcPmsrID6ORTA+J8k6PlscOj7h0ig+1IMvPi2wOD7eGEU+UzxAPmQBLj5i+So+apkePgOOET4PQBM+X2gjPk9WQz7xuTw+SkUsPrUxJj4OfTU+YcZIPpRWRz5+9lE+AoNMPiqIQz7kukQ+gbsoPmi6Jz7P6TA+2wMsPrhIFD6ZaQk+hs/bPWH8BT4JziQ+JmgyPoB6Sj6PpUI+fUAjPrSvIz5T4yA+LEY3PgRqQj6JlkM+eDE6Pi2hMj7AVSk+aL43PvDKNj7GSCw+J18pPowMJT5vfyc+AlAoPoRtMD7YgSw+rzkvPiE2PT4gijo+DkAnPv3eDT7F+Bc+K6YjPq4lRz7aODo+pDQwPnOdMT7ljR8+KX8dPozpID6xsC4+yOItPhZRJz6VQSY+oispPmZJKT4MHi0+UP4zPpqGKT6DehE+oVgVPgNZFj6iPBc+zM8bPsisGz4tsB0+fcIfPn16HD7Xyx4+2L4pPsuJPz5CkUI+RC1xPo/BfD7fxl4+Gk5BPvVuQT5KLhw+qOEMPr2hFj7GoBU+yNUPPn9gNT6/8Es+yGNhPqMVUz6umjI+uTwxPrGi9j2Ckb49UwDgPVjY7T07ywA+zx4mPlVrIT46Myg+R3EfPl/cGD57Gx8+p5k2PgAePD7Oxis+XGg7PiaKNj72tTA+A8QxPvqnlD71hZo+Khw7PonMLD51rS8+f6g3PtnzOj5djTs+fEM8PihnKz7oVCQ+HnEjPjYwHD7A9xs+V4YjPhjuMT7QJy4+5xktPhRqLD6m3y0+bLMyPm+3Kj42oCk+VgwrPntrMD5uRjY+mYMwPohNLj5RXjg+ltY6PoxIMj4hUiM+EGgwPi72ND5sBD8+EgxJPqfoSD7V+kE+4O0uPl84JD4eBhk+o3kZPvQHID71GTE+0dUjPpngHT6I7jA+CykrPrnhOT5uHSo+TY0+Pmd8Oz7OZDI+LHo2PvKCFz7v9gI+0MTlPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/EB9xPh2RsT27n4Q9uXaMParHkz0f1Jc9h1KTPUqFjj1HBJI9UVyXPS8WoD1ESJ09BNedPTONmj0Yaps9tZOQPX1Iij3ggoA9xwpZPcA1Qj2RkD89j4U/PVhqSj0MoE49twNWPRnpYD1x4Vs9bsdePcSMXT04BVg9cixcPTqvYz1go3E9ltKHPVnIiz2Cq4o9iKGCPaVteT3bDXU9wtVnPVRFbT3RM2892QtuPUOPcj1UTnw9KbF1PT6Bbj0aF2k9tHxpPSlhej2YFIs9uoKNPc95jz2+KJM9ncSPPYXraj2vGVY9UqBmPU27eT0E5oo9NmSOPQO+lT2UoJY90aSQPds8kT18Y489JQSKPRzZiD1MnoQ9iwmFPV0Tjz09d489FBeOPSrMij1gD4I9RGODPQzchz0Pims9fmtJPTl6RD3BM0I9P5FVPVNfYj2ASHM9+3p2PRBScD2Yu3c9XFKEPXVshj12VpE9QYeSPeJvhT1xJHw9o/1xPYWjXT2DIUY9esVNPVeVZD1YaWY9ey1dPWwvUj0HkFw9P55hPcf9VT3+Zk091pxKPY6BUT08RmI9sahoPVHDcj133Hg9B/F8Pc7CWD1nWUI9YVlGPfPJRj1yiEM9Pgg1PfrnNT1HMjY9ad83Pe00PT1Nf0Q9skhNPTVCYj0mSlw9nKJXPctNXj30w2Q9zHhmPQPuTD1drU09wR5cPZQSXT38lmQ9qxNnPWr7Yj0TWls9SZ5XPcYDUj3wwUo9ECNIPfdaQj1Q2UM9KoZHPerqTT34Dlg9/JxtPXNWbD27qJI9M5IMPiBaND4v1hs+xFTwPXXm2T2T/sA9JdwbPpBsNz4IYyQ+2esUPk1JEz7PCBA+n84bPgAjHD4stBA+DjgMPuhhFT4pghM+RFAVPvDFHj53qh0+DhwhPmFvIT6vDh4+7xgbPngbIj436CY+JPIePsxIHT5iYCs+rts0Ph9hIj7OnDU+11UpPtyBIz78HR4+QSwnPqCROj66ujc+Zt8nPvX0Kj6czC8+eTg3PjliMD6X/Sk+X3YsPgfQJj6bGyQ+EUMoPqNJSz7pO0U+sIYzPncgMT4KbDM+e5hLPn1bUD4cyyc+DudXPqLQaT6SxEw+rJc8PlztHD5wuys+ZYc1Pn4vPz5xbUk+H4FIPl74MT7mfDY+2LE4PvqzMD6vsTo+cABAPqLtKT5bjzM+jFs0PuekKT76uiA+kRsuPqnNMT5TUzA+3b0nPnrFKD5D5x8+fFstPjwPLj74BSk+GQUwPgXNMj7eHy8+IRosPtc4MD4ngkE+Q0lEPtA2Qj6QRCs+9lkYPjhzJj5YwDc+MpQ2PqZeND762kA+7qA1PryaKz4s7SI+DO0PPkFwGz7ilik+jx4qPomYHz6clxw+rfYVPsEgHD4kexg+gYMZPiVUJj4U9Cs+06AlPkXuKj4DWA4+ppsSPg9vLT5wbUQ+6jk1Pq7yIT62pE4+9nI+PuHtKj79ajE+qH81PuXzLz6bOzc+dl4sPtJ1Iz6EAzc+tRM6PlTFLj5U0yA+8r5tPvtZsT6hdGU+pKkjPliGIj4nQRc+Nb0MPrUrAD7sVdw9KdLZPYM0ED7IGSE+KTsaPimdLT73z0Q+LN5IPtnHOj4oNFw+LJ8wPlnELj4MQSY+V4kqPoi1Mj5db1M+sXFkPianKj5ixB8+PC03PkkEPT4CVjk+lno1PinuLD5ebyA+TA0jPi5yIz6ENyM+n8g1Po7DLD65Nis+NX8bPofmJj53sSg+DdcnPoQpKz7wbi8+AJo+PquqLD74HS0+htEtPjvZNj6a4UY+8W48PgXgQz4i9Ug+eXtKPi//PT7XODo++yknPmLpLz49STU+9ZM5Pt90ND5LzzA+emEmPqO2QD4acT8+zzYvPpBsIT55BCk+Td0tPo8dIj65zBI+sKQWPprIGT7rahY+vq8ePivJHD4UFwo+jQMAPpRB8D0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+Njr89bN2PPfollT1yA5c9xx+UPdXDmD3ympk9ZfSRPdUAlT1sApY9QZ2QPXQvdT0aEXI9lguAPfSXWD1WBFY9MopcPYeYVD2FIUs9ONRcPQjFaj0rCYA9106FPYbBgz2GJYI99CJtPdIGaz3gqW89YMl5PQgEgT378nw9mC17PSl6fj2Zz3I9jLFnPfzQZT36nWw9+T10PYMTdD3tIm49hnh1PX6meD1LwoI9L92CPW3/ej3Sjnw9MWh3Pew2gj0t1Hw9amWIPd2DjD0PCIo9oSZ+PSXxVj25eFI9NxNVPTMpgD3xLI09xoiKPZknjT2ogJI99COZPdfokj29nJM9pqGPPQJhjz1jQI89MLqMPYDOiD3pBIQ9TS11PW1thz1/SZI9UmeLPUddez3EG3U995pxPVDgbz2AbnM9bYVnPUdeVT2Sm2A9vzhePQqxcD2wo3w9JO14PWk6fz0a34E9dw1rPbNZVT1SD1E9gPVcPV3rYz3OEW498cNaPQz/Yj0zS2s9UFlpPdyDWT2usVA9+31RPV29Sj142l49HqZtPRojaz09EV89eAhlPZIQZT3RPVg94KBXPfCOVD08h0Q9G9o7PeFNOj3dkzw9Utk6PXeDOj3lzT898BdQPaLLYT0+s3o91faJPS35jD3RLGc9R51ZPVAVRT16LkA9Z81CPcYVQz0BuT89/hxHPWs+Wz1/8mA9VqRfPcuvZD3xNHk9eHRmPQlkVD2WNEQ9mhs/PeE+SD189kU9qyU7PXaqSz2szGs9IF+LPWCwlj2e2ZA9eNKrPfQBDj6Xrg4+JfEhPsiVOz4Uryg+A90gPs/PJT42cxc+07MSPt3TDz5Q7x0+0u4dPi7dHT6kdyA+1jgePrtjID4N2x0+eZEZPjWiEz5Q8Q8+Xv4ePme/Kj48Xx8+NCgbPn9SID4nMCg+DR0sPpsbJj5bESY+np8yPivmIz7q5Rk+48UrPhfzIz4Owhw+DKoUPh7XFD4MoS0+Kk8xPtlTKT5+UCg+hu8mPiheLT49Xys+Y48aPjK8Hz7IyzA+49IzPktdLz7STyU+JAM4Pq+pQT7v0yw+cTszPjusPj60lks+5yVIPjQYSz7wnFg+3EA4Pr2IKT7A1CQ+VI88PhSUPz4t7i4+SIgtPv9pKD6C9SQ+gNkmPskBKD5UOyg+rclAPgFIQD5dvzo+bxQiPpBFHz7V6iM+E2IuPkWqOD4BdTw+u2k9PgDIGT7YNCQ+gTkoPv5KHT6gyR8+figxPgJbMD6H7Ds+jI0yPpMgJj6fXzQ+z4E1Ps7QQz7qr0U+l/I0Pp/kLD6ceyM+DZIfPq7pHT5ntTM+aHFAPqp5ST7yMzk+tGE2PrejMD457Ss+Sfw1PoS6KT7ZYQ8+i4sYPgUIKT73iSQ+9lIePhT9Lj6+kTM+JLguPl3VKT52TS4+BpcZPolbGT6I3EY+G8FtPoL3lj4Agbc+NxlmPtCVQj64cDk+eXwhPkngIz7sHCQ+SDUmPkZULD7DUjM+V6kUPsqK4j1jY9w9fbAHPn1/Lz5oejg+MSMpPldMJz4KchY+F7AlPrcqRj51IjE+C7MgPrZCHD6b1ik+4ikqPlPuHz4F5EY+zIGBPknjij6wDkM+n85APtUjLD5g5yw+zi41PpCMTT6AOVI+Jr40PnUaLT6eNiQ+flQTPm4QIj471iY+a9UkPmp4KT4wfTU+EiJRPi4eYD7uZEo+QGQ6Ppx1Lz54VTc+XQdBPn57OD45Hio+ZJYsPsyRLj42Oic+79NLPlASXD66+E4+63NZPj/QYT6z3lk+1EJePmcdSz52X0Y+2opEPq3EXT7+kXI+vXJpPsIoLD7IWyQ+c69APhLjNj5ECCc+DlYoPqlOMz7YjDU+kBMvPqdCKj63DDI+y21APmkMST40Ei0+4O8cPqKUHD4DZiM+5Fc6Ptx0Rz4lHSQ+mDEWPooUEz7LghI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/4DK+PegqjD3wFIo9LmuVPZfglj0zV489ad2KPUDnhz1QJpA9n2aUPSCGkz0xWI095feAPdIggj2FdXk9rKl6PQ8AdT3XzWM9LnVePXMNaT3LsG89n/ZuPaSBdz2e6ns9TMZ6PdbXcj2sYWk9TjZgPXBBcT3rxnc9ki50PebTXD1mLlM9NQlePZUTgT3E6oQ9n/6EPTaliT3mKIo9m8KJPXUemD1DSpQ9FoWHPd5VcD3QLnM9Tzl+Pa/ziD3tUYY9LUOGPV31hj2kzIM9yrBoPdmtTz03Z1Y9VDJZPecfaj3EVYE9xtmEPfU4kj1BAJw9mlCNPXkagD13+HA9752BPR1QkD2chYw9lPCGPer2iT0a6og9IHR1PSQ7dT1ZjIU9mNSIPZBmij0sHYA9bot2PS0Kaz1RKFo9J6ZdPYjTWj0Kbl892dxvPQKehj0VDYg97vuJPb0ziz3YSYs9BPl8PTeWUz3sN0c9oeZGPUJzST1/KlU9HsJsPdD6bz1tkHE9ZxloPXo9Yz09Vls9zTlmPbSuZj1Hi1Y9xtlqPX2hgD2eGIA9MyCAPY5Tez0rm2c9KEhLPQipOD2tmDU9vGwxPY07Nz3UPTs9jYY6PX80Qj1KCUc9SDpGPUMrVT24y2I9QeNqPZWOZD1Zp1w9id5VPcs8QD2Odio9Cw8wPZtHQj1YY1I9s7pRPRFbUD1iqmY9sohqPU2pXD2EFFo9KeFTPbC5ND1yLTQ99nkwPRg+Lz1R5zo9aKc8PTwKRD3GplM9/2GMPa1Hiz1UqiU9WdUhPSUBOT0XMI090brxPc/fEz6wtEs+7TMoPixTKT4AMys+45kvPtGTIz6t3BY++d4iPrlPKj748yk+9iUePjhAKz5xrB0+TycWPhKZGD7RWiE+dpwbPoxVIz5CizI+iC8nPkKoJj5PvR8+kroiPryGMT4/tys+8K8gPleEHj7sgi4+dLc0PpWjKD6GFB0+RuQWPnbCHT6GqyU+PxonPsTfLj61hSU+rz8xPpavOj57dTQ+H4IsPjSqFz6GuR0+LOIrPo7LMT4iBy0+c08mPlzeLD7/9js+PpQuPjX/Mj5zUzg+VnQ+PqwcPz5sdD4+Cy9APh/nND79ES0+GU8pPtASLT6+MzU+8PNEPqY4Kz7ohyA+WnkhPjzFJj6x4CY+q3IhPrAjPj7jB04+mNNLPkXELj7R0ik+yjBCPpNNQT7McUg+JLNIPhBZPT7qvDI+Z54qPqWeGz7eMSc+Urk0Ps6WMD7IKCc+a2AlPkv2Hj5sOSU+dCQoPmY7LT4DNzc+VkYhPgWbJD4ZxUo+bFhSPmpmQz6MPSM+a98nPmLWLz628i0+zE0fPt68IT4vnh4+sTIlPn+nJj43+R4+EBoUPvznCz4vPCI+0kk6Pss3Kz5mnBw+ZugoPlYDLT7Uvis+BUsqPu5uDT5YdQQ+/aIYPvXBGT4+cic+nRI4PqhwIT4OFjY+SjWdPqI8lT5clSA+D+YLPm4UKD71NDI+3CYvPoUjKz5CnC8+KiQ4PoEjJj5ifiE+gjsUPm8lCT4TBQw+g78SPubtIT6+axw+AlQrPpLSJz6NbxE+XDcNPnioFj5B7TI+OW0/PnkBMz4jRjQ+1KY1PgLFLz4bNyM+LrolPnzTPz5r4mA+oRVmPgT0SD5Ov0U+ZWI4PmWdNj5s/Dg+QytFPmAmRD5IoT8+dLY/PhmvSD6p+VI+9epAPjfwPz5cUz8+/oBMPkI6Zz4V1Vc+GJMoPjs0KD5gmCI+JQ0YPjinRD6x2oE+e0mIPq47hj7N3nk+GtaJPosekz7R1z0+IfA4PqVfST5d4ko+QvFIPpE7RD4ihiQ+E3UWPvlKFT6g1Bo+av0pPqnZMj7CsRg+Uh0mPlYEHj6+MSM+gJ4qPqyqMj4Pbkg+FJY7PmHAID6kUB8+P2EfPlaGIT7I8CM+U/0pPtwPJD5bPxQ+Wz8UPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0P9sD1QYYM9VrCFPXcriz2qJos92FeSPWuMiT0dEo49eiWLPQPThz0ykYs9nWeNPRM6hT0nzYQ9ZaOTPVbvlT3UYI09MiCKPX8Rez2WJmM9QRtZPdx4Zz0HQmA9K5dbPT5jUj00G1s9Sc5XPWdvSz0tikY9DNFIPV/HRD0UcVc9FVh0Pf6+iT2elJA9OS6IPS3/iT3eDpA9YKWNPRMjhz0udGo9haFiPQ1RZD1wbG49T8iAPeYejD1Isoo9A7qCPYXWgT3BY3Y9lAVgPd5nVz2C91E9fC1jPbYpdz1hioc9cROcPa7lkz3TTZQ96s2CPc8LXT0axWQ9fnNnPSQ+eT2kQo4952KJPezwgj0EsoM9w9yFPaPseD1glH09zrWFPbcYgj2b3349nadwPc/kYj1YC1k9UTJjPVOxbT1OJHM9rsmEPbhdjj2fF5Q92ZiRPcbnjj2zr5A9JMeMPac4hT2f62g9AdNlPTerZj091mc9ib1lPVDlaT0NZm49zIZpPaRpZD3OO2s9pehoPSf3Yz10FFc9+TpePa1yej2ZrIY9vIKIPXl2gT2RSWU9LzFTPfzTUz3+9lQ9Fp1XPSy/TD2jKj49QsxBPWTlOj2yn0A9BCdLPUv4XD2MqFw9xftQPUQ2Sz2/4kQ9aWtHPWdaRz2Btj09x647PZyBTD34a1g9K4VLPaFgTD2z60k9XIFRPer4Rj0y4jg9pTJAPT07PD0LTDI9QxUrPUhGIj0sER89tEsuPTEFOj36qjY95i82PQi9oD3q8d09zZxSPbBVFj0FCxg9RJ+UPdKEHj7CTjE+B6E8PlAXOz7vOjg+DXYwPlkKKz65syI+EZIOPjZ/Iz7iPCs+D7EqPoWkID4//DE+mAAyPnViKj6ivSw+SzI/Pku4Tz7370s+gL46PriZKD6mgyU+vPMkPtxrJz6wfDY+KYQlPn7zLj7eCTM+4dEoPuexKD5E5yQ+iaIcPl6AID4EKCU+cXgmPr6lJD6WPi0+EtcuPvXRJT4q5TU+BIQ6PlvnLj7PQSM+FFIkPjfSID75MCI+9g0kPj69Mz77LS8+7UVoPjRqTD7fGTg+j9I0PvvIOT7y9zQ+vEU8PrtmVT55TVY+VrFEPmvGPz5Cay8+8AgnPukoLD6uViU+lH0mPq0EKT7S7zQ+vzhCPqtvRj6rcDo+qp02PrBsMT5s0B4+D5kpPmyNOz6mKTg+wptSPs+cNz43hzQ+8oAxPrxiLz6IqCY+SBspPivCLT6kCSw+syosPvJgJD4aTh4+VcgvPiHxLD64xC0+qb0nPo3xGj4v4yU+K188PkFFWj6KzlQ+vddBPhF8LD6ckSo+jeknPuPSLD70ZC8+QhgsPmuXOT5u0EM+mPksPmCwQT4J3DE+zA4oPrFIKj5XxSc+FQo0PkJNMj4tdSI+SNcxPkeXWz6hzUI+nz4ZPvnuFD7PySI+IMclPrcGOD6jljM+rlYmPjRnmT7Cekw+hAkEPuZ+Cz4jOSI+Bh8aPqw+Gj46uRE+lzcWPpg9HD5s3DY+/gczPiBBHz76dh8+3G4cPow6GD65MCs+LxofPo78PD4gHFE+bUM+PkJLOz6BXB4+Ue0pPhQGMD4i/DE+SaQpPr3wIT4fcSQ+GqIwPnv/FD4Zmy8+YDBVPgHMWD40yzg+m4EuPr1PKD6pljE+z0c9Pu4dMD7czyk+iHEXPvxMGj6/Qxo+pLAkPtfGJT6DxSU+7e8/Pkq/ZT6+1T8+6c4iPpNcOz4LyU0+nY16PurLVD79JTE+ek81Pte8Uj4x9mg+dIhyPmGpkz6C6YU+/5RKPmAdSz5/XXc+VC5pPicocj5TlWQ+AAghPuhdGz4czjE+vuc2Ph6TMj4O2S8+25EXPubTGT5uUyY+zWklPkfuFj6DYhg+YulDPlfWMD49dyg+7kssPsGQLD4VFTA+xlobPnT8Gj7NGCc+eqAcPnqgHD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+L6ZU9BD2JPcfNij3mwIQ93fmJPW2nkT3hvpM9L7yNPbRFhD14/oA9M9mDPUPYhT3JP4Q911WAPSjXhj1CrZA9o2+OPYD3iz1uAIw9+heOPSSmfj3qrYE9gRV6PW7waj0Dn1g9kzhePdzqTz3NT0E9V19GPRg6UT13RFY9uL9uPQ03hz05cpc9AiGQPaBtej0IKXk92Ih4PYIgaD2a/GQ9lFddPZ4MZz0M0G89Kd+CPTWakz1X6Zg9cBiGPQAnYj34Alk9TAhYPUtHXj35aWg9t5p2PfgQdT3bNn49fFyCPaGGhj1Ti389r/B5PZR+gT0Chog909mPPXjijj3RDo09zwecPbyQmj0nGo89JRmDPSrLhT2KKY09uvuIPaFEhT2tpng9zAFyPcauWD2AA0o96xlbPcuXez2/Qoo9vQ6PPSz6lD3+W5U9+OWWPYOtgj23R3c9O5ptPdaDaj2uC3Q9N9luPSW+cz1i32E9xh1PPfwcRz0jgEQ9JY5KPVrpWj0GwGw9vCKBPSxvgT2SAoI9KymDPfkweD36uW892cdgPVcPXD1uRlA90HdGPSCjVT2iQlE93qNMPTx6Vz2k4VY9ngtIPQoCQz1nIUU9zRNVPWHwZj3jQ2g9IotYPSDJSD0ua0I953k2PdHFUj0jGlc9YjNTPdf3XT03EGw9PppYPVfVNj3EgzE9PmIzPcWMOj3Yv0U9H0pTPX2ZWj1/PlI9J+dFPeKjJz3RpBk91FYhPRFHHj2OtRw9a5UiPe22KT20pks9gK9uPTOkND2GDDY9QMkuPe4dND3r17c9UssrPtchaz6YiUM+/gsyPq2MKT7/uxg+RDMMPrKUGj79DyQ+YFwjPtl2KD7BFCc+RuYzPnIQMD7psCQ+CM4vPr6iQT5Z3jw+yDlQPszTRD4nYC8+C1EmPqNuJT7jMyo+uewsPgRWMT43/D4+QtA6PmBtOj7v3C4+6RoePgJTIj6C9yM+fVkZPnmwET65gSs+/rE/PsuDNj4Hryw+Yx8zPq79Nz4luTg+0LkpPpzkLD51biQ+f58oPjksJj4oWSg+kEooPmh2VD4klD8+hug6Pm/8Oz7CSzs+Q5g7Pl8MOT6nqzc+08I3PsESQz7dnEQ+uzlEPuRJNj69iCc+8UYhPpb/Hz772h8+afojPmd8PD74rD4+gNQoPoDaJz5/xA0+rSUVPv2jOD4L00Y+f5E5PkteSz7gWjc+K9YzPv8ULj4/Vyo+CkMfPjudIz5LoSY+QCMfPn3FFz4m3B8+ZosbPmKoKT7hrS4+HxYmPv8TJT7u8SQ+OCwlPuKWJj7/YjQ+qso7PnbHPj6maUI+ToxIPm05Sj71sTo+rspBPjokPj7FFzc+9w8nPrgJJD5qMj8+YnBHPqLBRT7MZ0E+4uIkPur4CT7cCiA+1q0mPtdpMD6BtFY+lQJHPigfGD6kIBQ+83AqPkG1Oj7FuT0+CqgpPp2A9j3FMvY9vFMTPvEXGz6mYyQ+cQszPi4TGT6IcCA+SoYWPkRkIj70Fy0+mIpTPtMSPT5mwDM+lCU5PjdJNT6b2TE+57MvPuFwLz5Glz4++9xAPivoPT6ZTj4+Z1IsPirNTz7Cu0g+7wpGPlnZQj4gzkA+zh9aPjOuND7SlSo+57lBPuOHRj4Edi8+tdwsPqnWKz4O9CI+VskdPhtSQz44d0k+vLo/PuFcHD4zDx4+fHocPvYtGT4dXCI+q6skPlYhLj5b+DA+dAASPmQOAT6CQEk+hUZ/Prachj7X5W0+76hFPvTfJT70bjU+gd9QPsjJaz4YEIE+ppFvPvRYWD7b2ks+i1ZOPt33RD6/CZQ+cd6PPoO7LD6QqR0+vs0uPjE0MT70DzQ+H4ssPlhCIz7J9Bs+S4cTPnyQEz4fYxY+HwwSPtX3Ej6urRk+4L8bPm5tHT6Gjh4+MUUcPqA5JT5OeiE+BGokPvkqIT75KiE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/w/GZPTRHhz2bHoE903WFPU8HkT0yLpQ9xQGNPd0pjz3+L4w9EvaGPeeEgz0m8II9J5eJPRMyiz0v5Io9V0yQPcZajz3VuIw9wFOLPSDFjj0ujI09H92TPew6gj1jkGg9HnViPRAMSD0k3T898aJOPf/pTT2H9FM9OF5ZPddFZj3NJF49gZZPPVJgUz3p3W49WMJ8Pc89fT0qH3k9kz9/PZ9qez0JEoc9qdiOPTiNjT33Hoo9HMeBPaDhYz2GEWU9Xg5hPW+nYj0X73A9AWZ8PWL7fz36rXM9p454PVDMdz2bn3Q9DdJ/PQbFiT3Wdoc9wW2NPVUblj2gCow9/umAPQ6WlD36D5k9KjSQPWWkjz2bhYg9McmAPanAaz18DF89rTlcPegIYT3G6Vs9G+hhPXF0ez13fpE9+jaVPe18ij1VwIs9KT2FPUmebj3GHGU9h0ZmPTNeaD26k2g9HHxhPaDBXj1L2lk9btpXPTu0Pj0PcjM9OiBIPX9fYD05JGU9FVF2PbethD3oyoY9rBqDPdYPgz0gDIM938JsPb3rUz3iikc91g5EPZ81Sj2ymUs9CuRCPVwwRD2smkQ90NtEPR5uTz1JCVM9cf9MPadJUT2zyVE9PmJQPQkBSz3vOlQ9tm1LPe+bUT19q1896UldPUGaYD3EtmM9RHZgPcnhRD1TgzA9RVMuPRIvMj2j9D49wBI/PeMDOj1s7DM9mwk3PcRaLz0XfSY9KXwoPVwtKT1c2SM9lXIiPdLmKD0I6zA9O/wwPTCSGD3EKBc9KWEaPcF4Ez1C9ys9ddFcPZkXvD35sUs+ed5PPivgKT6RHCI+KfkSPnN7DT7ZbSA+QMklPumVJj4LECk+EI8oPjIzID5MAyg+olcaPsoCGT6Unho+JpUbPgMyJD6VhSU+nhwrPoSqHj51EBo+hXUePuayHz4f8CQ+Ly00PhW/MT6L5i8+umcvPvWCMj76myM+JnwdPqqPGD5X7Rg+ac1CPlYxWD4XADw+91Y8PnIhPD7SITk+hxUyPgHYKz5/PyU+R8gTPsLvFz4k1zU+Jwo9Psb/Pj6KuoM+bwx0PlPhQj5I3FE+ooxVPn2NLT72Mho+LTQwPkLWOD5PkUg+LD9DPvJ2Oj5CcDc+KUEzPvChLz6uqjE+yk42PjW5Mz4rmiw+sNMwPvVsNj56vjg+t2YvPi8YMD68TTI+t9suPp0OLT5gODc++tI+Pqj4Mj43FiM+n9gePs/qFT6aax8+FxgpPm/0Gz4fRhg+Jr8fPkawLz4z6yY+P6YkPn6gLz42lS8+HjwmPnDtKT5JJi8+1jAwPl6JOD7ENTQ+uY02PpavWT6PmUk+ZKRNPsQGVD6kFUc+LoAxPiC+Mj7Fii0+sdJAPixtSD5gQUA+ztgzPtDrGj4ZNwU+HHoUPpb4Hz5fiy0+PKguPiF/OT73oEY+UA1BPvtBKz5APCk+90QlPtThOD4RVRU+4nQDPp9ZJT7XNj4+wmo/PvXQKj42oxc+d401PmGxOT4am0I+SXNKPnewRD6WVTA+3G8pPhvHLj4Hci4+GlcrPuj8Sj7UBkQ+CnxEPkOnNj4PSDA+62cuPiZAKj6z6Uc+8c9pPvB1hz712Hs+EARXPnQPTT5YBig+5XcfPi7GID7vkjU+PMImPswbKD5DWTA+sLMePlyxGT6kQRY+6tkxPv6/Oz5Alzo+SK8lPoohLj4dhSc+61k2PvDmHj4gySA+KZ0mPm0JJD5NjyA+cdRFPt4dPz5gCVY+AF9XPgKBNj7v7iY+0c8OPvvjLD5o6zM+ZMpbPphPij6aBlA+6JJUPgo/Uj4qr0Q+o788PvSSOT46bzI+9booPupwNz4k1kk+TpdAPrj3MD61TyE+a84fPjnCHT621y8+rLgwPi91Gj4TGR4+evkzPkl7Ij7+kQw+UbMZPgcMGj5kdww+gJwUPt3TDj694As+mhMLPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzZLlT3ISIg9MXOGPbDTiD3KNoU9I2SGPQ9Tiz27Ppc9o36VPac4lD3CNo49tIWJPXgIiT1LGIY9MT+APY6Mez3TyYQ9h6iQPXQviD0U54Q9/4tsPT0JXj0DsU49THZEPbiLSz3G3lI9yJFmPTsUaD1yBms9BUxgPUgmTD2kHFg9u7dpPU4oYj1GdXY9G2uGPTmXhD17M4c9T56PPVM8lT0Pto49BnCLPYvciz2Ud4k9KjJ8PQvTZT13h2Q9DsR2PbtFjD0+q4c9Mv18PQaLVD2Rh0Y9zLRoPVTZhD3lu4s94kSKPY6VkD25q5g96X6RPYxujj20YJQ9R5CUPSl5lz2KW5g97NOgPRbqkz24zY09jNGAPfJcbz1SoFw9OS5VPbw6XT14a2M9HfBlPa1bcD2+LoY9iYWGPd/ihT2tx4E92VZ9PVaEcD2stFg99pdmPWw/cT1VRl09G7hTPboLZT2x3W89L4NnPTx8VT2QoVc9sSlhPViJZz0M82U9MSJpPTFYhD138I09vHOLPc5Gij0vZ4U90ep2Pah0YD1b/FQ92K5MPQRlSz3vwk89QyNSPaxaTj2pT1I9yJlOPSH/Sz09Oks9uC1bPVjDSj3UbEg9OS9kPc8PXT1Kslc9TQZYPefEVT1eyVU9okFcPRznTj2T90o9ePBLPfk9VD2rSkM9/SA2PVEDKj2ADyg9FjwoPZOQND1ZPjU9mBEyPRKqIT3pYRk9SGYVPaReFz2mZxw99J4WPTZgKj1D40s9tDyGPat5lT3H3Cc9wfULPfoAEj3Cngg9s90iPZ9Tiz0QY/M9VR5DPqzeQT4EUxw+7z8gPgN5Gj5wYyI+EJ4jPk1AJj6VPyY+RaAgPquhKD5mNyM+uyQvPoNLIT5NBhk+vHkYProrGj59hh0+ZBsqPi8UKT5SeRI+snQPPn3+HT7XlDk+EustPp3dMj6fxTU+lv81PuRRLD5GwiY+akUmPnyGJD62Xis+ZeNJPlr0VT4OV0k+ioorPiSmOD6bKy8+fcwmPkGbJT5SbyU+2QsoPqxFIz5kMSU+DJ4uPpnFMD6/JDI+QHVIPlOHUD54NkQ+ouA+PkPaOT4K2D0+OGg2PqXiND6lwjo+t0dGPiXgQz6ufEE+Du41PsjoLj5K/Ss+Gq0lPhvnLj6VUDA+xPM0PvmJOj58MkQ+6UlAPuNlNT7z1i4+OzIcPnuhOT5SUzA+logjPp6TOz5UCzU+xjQ+PqbWOT63riM+0vUgPp/AGz4zWgw+HB4RPg0kIT6/qCQ+rPcgPtpCHD5qOUw+35Y3PmnxKz7o3jQ+lj4hPvRELz6lzyQ+poohPnboLT4IITU+KPs9PmhUPz5jcEQ++RdHPudhPj7z00Y+WLhFPo4cPj6jtTs+8/k+PqQHRj6gMDg+5kUqPlJJLD6Xkzk+Hy9HPo9SNj6A3EU+JAhaPtiGQj5kzCE+U4ITPm2xED495CU+stUnPjhsND4HfS8+il8hPvsFGz60nDo+mbIcPoy8MD5bqzA+wRkePqrmHT7j6yc+wj45PlyJQT7+4T4+beJDPlz0PD4YmkI+dXA2PiJ1Nz6BWyE+WJUgPiauMD4KYjE+1akpPl27KT5zlUg+Vp1QPmstQD4ZSEc+jhdnPlPePz7++iE+pTMgPhMxGj617SA+i/k0PrxFHz4gDCc+U1QkPtASLj5yqlU+oA5QPovFQj65lD4+EKgoPhHpID5h+yg+y0UyPjwqPD6yDi4+fbIcPvlAMj6RcDY+f7BCPk6RQT6hVSs+0C8hPp6LCz44OT8+vZMtPuIVLD6ie60+4Vj1PjtNUz4TdFs+d1d5PriCcz4I/Yc+Z7NwPuj5OD4pmj4+yIBUPiwJWD5BUE8+t3ZGPhCLOD5AwCE+jOAPPqYWGT5gERA+YncTPpRHHj59WhU+DF8RPpB7FD5Jhg0+a2YPPn98Dj6pCSg+EVU4PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyN1pj1U2qU92e+cPfdllj1YhpA9bjeLPaMChD0L14M9sheSPRIMmD107Y49kBCKPSVNgT0zdH09UEpyPV/0fj1tRn49uwVoPaOnUz3APlI9QANTPShRRT3bDkY9/uZTPdAxYT3c6mg92/BvPWfneT1Y/mc9flhlPVQVbj0v13M9kMlzPZNxez0NgYs9rRKRPQGQjT3g+oY91TCDPQX5gj2Tn4E9CWR1PblJXT1CxWg9zNFmPXhHaj3tG3I9H5J/PejMhj10QoM9PLl2PWc7cj0/UWU90HBkPURngT12OYo9MVSNPYk9hT0uCYA9O9+UPaELmT16dJo9ap6rPQ4Itz3UKrk9JrGqPUnokz0R9IU9NWR3PY0QaT2OgWc952FZPQVOZD39sXQ9dweDPcXFhT2HTok94/aGPfYzaT0Gal095h1UPX5tTD3S8Fk9O0NePYCUUT09DEw9tDVKPaVsVD3VPFg9H0BePQ9SYz08MHQ9PpmCPdU5iD3/UYg9abxrPVmieD2i74A99PWCPTiYez1P5nY9CIJYPeqhSD22UUo9ShFLPf4QUD1Gc1U9XEJSPRcfUD2EkVA9QOxQPWLqSz0KcFU9CuBYPZznVj111Uc9NlxJPVjZTz3ZYD89k2w9PaiZOz1qa0E967tJPaBNXj344mM9+bprPUz/gD0lt1o9lHgcPZQ3CD2gvhw92WQlPdjFLj0y5Sw9U1smPSs3HT3GexQ9quMDPVdtBj0XgBI9b/UcPXg7Fz2Y4Sg9wbdRPfxcmz21fLo9XLJVPZ8RMj24+A09OPELPS20GD0QyIE9CeMaPgreNj5ROCM+WfUfPtlzID4XZyY+upAuPj/KJD6KmB8+k/ciPsuUKT5vRTA+TuYrPqlGIT4x0ic+l9gyPvvoMD5LmSc+pzEyPsbAJz6GvSA+7nAUPuhzFT6q3SE+Ags5PscndT7Ajl0+jlA8Piu8LD7K0yo+Xm4vPpMYLz67cCo+MA4kPoBFKT5N7Sk+V/YlPkTqLD4VQik+wQQfPtZwHz7lESA+NzcpPs/LKD79dzo+Ots0PtgwNT45Cyk+ysUrPhozPz7bSy4+86MiPutCJj6p9SI+1t4iPq/1KT6+QzM+2TY5PtaFST5Wokg+fOFIPmYyRz6bpTM+LMAjPjEjLj6+hzY+6tw0PmX3KD6DIB0+Nl8sPhpIOz4QkzQ+asIlPqW2KD74SUk++Mw+PkGjKj5lUzk+jLwxPv+IMD6ZKS8+BVorPoSAIT5adCE+ofoTPoodHj71QiU+9FQhPvxfFz5Dgh8+6J45PqPlJj5yBio+A0ocPlLVKD7zJzo+HDMwPiW0NT7/ozA+4kUqPjTAQD5LRDA+zmFFPuzxVT7ZF0M+XOE3Pj+WNz5DPjE+6tAwPjU8Lj6myy4+YH00PqNQMD5m6Tc+Nl04Pl12PT5XE0I+I5lBPuC2JT4EUSg+uPQqPlLiKz7ipyk+THQiPm5fLj5HOyQ+Ax8kPuMxIj6IwR8+iu4ePvoNHz7v+w0+PnQUPjoMHz6l9xs+3Ak8Pi0qRz6skTA+y+1NPvYGdz5REUc+48Q6PqYVLj43jTI+BF0rPipUJD5L9Cg+qsYqPjxoLT5qmC4+wEA0Pj3yLz571C8+zBsxPiegMj5vuSI+DLgUPu95Hj6dhis+xdwoPrHJJz6Acx8+OLUYPsZEHj5+9hg+1wgfPkdDIT5JEj4+PaRAPns2Lz5V11w+H0VMPqkwRz5BA04+xQVRPvsVND5sAjA+pf04Pn6mQT7ewDc+PVAkPks6Mj5/KyE+IXEUPqeaHT4eGCA+oUB5Pul0qT7Hipw+TJVdPh2yQT75dUE+JopSPgD8Qz5V1XA+2vRsPtYMZT7/zEk+lSE+PuvXSD6hyC4+2AEXPhc5Hz4THiU+PYkiPsMAID6W2xc+tKEUPlTkFz4oASE+jNQgPgI2Gj6+EQk+9pYaPiC2Ij4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/oKI89KvyOPQdKjz1+JZg9gxudPbrJmD3MBZA95eGIPbKtiD0nU4k9ymuKPYqPiz33pX09Shl6PQZ2fT2Vv4092rGTPR2FiT3il4g9REF0PepKbz2ccWk9n8Z4PfLudT2nAXw9ojRoPeWPaD3QYGw9hxlxPXTugj2vsoU9tjCDPV9Qgz2CF4I9YYyDPRmMhz3n64Y9dLFyPZAEXT2K3Ww9gER6PRE4XD3BIk49EvhgPcvnZj18xmg9V7RwPZykgj24DI89DTyQPZ0uiD0Qt4Y9s4+FPf8IfT1yeo89YeKjPSAbsz1Hh609tHubPSsQmT0EfZ09X0mVPaWEkj2Wc40962GOPZWrgT05YGk9LyNdPYGvYj3fnGk9ne5xPcQycz35un49obeKPc0mij2AzII9l5R+PXLgYD0ial49Y/ZvPUdicj3IYVk9zchPPagWSD2Dlk89y6JbPYYEaT2sTmQ9rmVgPVZbWj2ksX093ut/PUCmhj0Drok9KjiJPQkchz3toI09wW6IPSHMfj1x7F89SpFGPRlBRT1iIE49vq5LPayIQz0TuE09MUZaPSpKWz1juV49d0ViPbjMaD0SSGI9BU1WPSARUj3m80M9JxxDPf1tQT2Bvjg9jsQ8PUAGSj0Gr0491eBSPSavVT0MEV49/LRyPZZxkT1BXsQ9qNDiPf18ez0mLyg9HQsqPQpeKD2XEiA91u0RPR/zFT32OBs9xisTPb8zDT2uKxc9fYQnPWVjKz3esh890b0UPUILGT1noyY9DOQrPahaPz3BeqQ9JOOgPZWbxT2xHgc+d8s9PsggSj40ISk+eZwcPo+ZGj76FBw+cjMkPvyaIz6MlSw+hyMlPi8XIz6G9Ss+E1AtPvl+KT5PkyE+kCAiPtk4Hz6ykww+ABwGPvM7Ij7iCSE+dqAfPlv2MD64Xjg+Nks3Pu1NPz57Oz8+KTcoPiNSLj7+yDw+hNVBPjbIMT4+gzc+SidDPhkPSD6jwzs+afU2PoWMLj6WSzA++qYxPglKJz5aQDM+FOMzPmCtMj5G+S4+TTwzPiVZMD41jDA+iGExPoJQMT7+Ry4+mq8mPs++JD7QGSk+KS8oPpXBKD7DCjA+qJwtPrniLz4/1yc+yA0jPsgdNT6lv1Y+qtxQPnCCQT7ImEk+53g+PobFMz5TIDI+/EstPlrCMz6V3EQ+EZBEPiM6Mj6Zoys+noEmPptvKD741S0+DgwxPlT4OD78BDs+gAk7PkeqKj61Niw+VYImPiQHJj7CNRg+5uocPjxKKT76FDE+Lb81Pn9uIz7+IiQ+JRwiPiUcKz6aKDo+hkQPPsRuKj7AKjs+WkIsPj3pDz540R0+fiMuPrm6SD6mwlM+tPs7PnG5LD5WUy0+4t87PhUQMT7XYSs+pEIwPnlZNz5KHTI+I50jPs9LKD5N/zY+tB46Pi/sNz5XnSE+XPEPPl9bHj5x9UI+xGlOPtqIKz6+eBg+gqcrPuCwIj6vvjM+NPg/PgQQQz5zORs+/tsSPsRrFz63hig+0qMsPodSLD64djg+He01PrYyNz64eW4+7GSHPjHihT6MOVk+coRePhfIWT6jCEg+ZEJIPn/3RD7TZic+ueQfPgxBHD74mBk+6Ds0PvNuOj5/tjk+m042Pk0wLz7H7UA+Yg5APm77MD7LqSw+fnkfPgzbGz5s7R4+OuMhPvknKz4xKC0+7uMrPvC6Kj7yPDY+n+VHPq7CPz4TuUE+xEs9Pi5HVz4UhUo+ryMpPqQaMj4s2TY+TtQ2Pi+TRD7d6Fk+BDMYPk2OFj639Cs+qzcePuSBGz572ps+ipzxPiCvdj4wB10+kUZaPovSNT5QxTk+jHdOPlomRT5Wi0g+GcJLPpLfKj7OKTk+hf0kPjBrMD7GUjI+i5U0PhiCWz6AGEM+LOQnPsrKNj58Vio+A5ooPiiiMD71IS4+LNMoPiAyFT7AxhE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/A8KXPWVVlT0wzZY9XcSaPbpzlz1YKI89uyeOPWQViT1UbYg9CPeKPWFFkz3pmZE9BJOIPe/7jT3zyo89u7+XPS8hlj2CDIs9SDiBPXxDgD0Y9IE9HNiAPenmbT2BQXI9IFiCPeT0ZT0PeGU9tKhoPQIegT1a6Ig9lsKJPWYjfz2WkYA9Pb+DPRmZgT0wWnc9U5J0PRRAYj2P32Q9QOhqPYd2dj1OTnM9wpV5PbOofz2voHs9ZLZ2PfnQeT0aWYA9YJ2CPQ7fhD28O3s9nmN1PVnghj2YTpY9X2KePYzynD0NpJg9/WyWPblakz1EBZI9/P2QPf6Hlz3glJI97zuIPdVWfD24V189FctNPcqFUz1CZGM9qKp0PXv2gD3p4Yk9t5+IPQYUjj3dAXU9PvFUPQFGUT1fGHI9+oaGPT5veD3exGs9LMhVPZzwTT3p2lo9KqJkPQK9cT3GZIY96RqMPTpziT0/S4U91KJ5PdXugD2fvoY9R/+CPR6pej0F3Xk9cup+PV2XaT0dJU49HgI+PbtwOD1+Dzo9TCxEPXo9Rj2UG0k9PmhiPWjeaD1AP2g9bR5oPVLXZD3SQlY9vXZGPT6ALj2N/y49YCQvPV8oMD3WHDQ9TDM0PfPqSD1gPmE94npmPdbSaz1nNV49MShNPdhfRT3hO0897ktmPU3HfD0EoEs9oDc/PT6mMD31YSs91CgkPcizGT19oyA95/AuPX9lOT2vcy89OmM2PVXCPz2Ex5A9eb++PU7YxD3sE609j95IPXUsNT2PAjA9+mo2PULzGj0EdG89lIzFPfxuOD7riXQ+KWwePpzyHT5+ISY+uj8zPlheNj77pCU+CWApPnVOKD740CU+sP0vPrywNj7WgDE+fIgdPq0ZHz7/wxY+4BQYPk8ZHD6CARw+qG0hPt0yIz6ZIzE+uz8yPsoAMT4FXyc+7SUYPu/EFD6XqSQ+3Hc5Pt97Pj5CxTU++9w1PiylOT6E+Dw+OFMsPlpdKD7hOik+Op0tPlfLLT7nGCE+YAMiPgd6Kj6ffCw+AKczPgI1Nj7SQjU++rUwPjLlKz4Ybys+ekwsPuVYID4gwyM+5jFEPuKqID6PZho+4wMePs28IT4c5yQ+LlwgPuElQz5Inzw+zso1PsG4KT7dMh4+GuM3PsfMPj4pfjo+FMI2PvLtLT4pUSo+JNxBPgDCQz7zTTQ+ysQwPuCpMj7WqTM+3Kc1Pi1ULT5x6jY+LK4zPigZLD44cig+kpUyPgERLj6cnSY+xLMePm5oIz78SiE+a7kqPrsJND6bkiQ+A4ojPuscJD5YZx0+GFs1PtSAHz4wHT0+q3M+PnqOMT7mKCQ+MdciPmGIKD7qOTo+7v03Ph/RNj58hDI+ETomPtzGOT7ESDk+lwsnPrDYIj6frCc+Ba4zPpwZLD4/pS4+GNY3PotdNz5rkzI+2uIzPn9sLj5tNS0+1Ro0PhwdMT6J0i0+zKAuPi01Kj7ooSY+DxofPsIULD5BEC4+HR4ZPtpFKz5YNDQ+FXouPlnyHT4T/B0+R4NDPt3AST4cX0I+6l1OPu2LRT6cPD8+k9NBPrXXXD7FMFc+xJJJPmzpQT6SHjY+i2ctPmpeKz6Kjh4+CVUYPuG2HD5nnxY+cgQYPggrIj61Ry8+azo2PmDBLj4i9zA+EqIwPvueJz6H8x0+fVYoPtH7Gj6XExk+qZ0hPr9BJT4UFiE+iWgbPiqiJD5UmCs+bG4+Pg4kMD75Pz0+zRdBPrabMD5RTjE+0ak3Ph7xQD6wkDo+5DU1Pl1aCD58ERE+t4AxPg55Rz4h9U4+sYtaPgVclj4cfIY+c/WTPjd6kj6R9lA+ucJXPh4jQj5M8kY+ODFaPl8yZT6UwUk+ooVFPmcMKz5sWFs+eU9MPpjiLT7kJSY+sR81PtdmLD5/qCA+VNk0PryrPz7w30U+lC1DPrK2Rz6CfBU+uOMWPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8KwKk9Tg6zPXEC4z32iwE+Eu4VPm1tHj4XiBs+o6ICPhF+BD6+mP49SebhPTxFtz3VS7E9J1qzPcOijj3e3pQ9CkKBPVwMfz0KrYM9DGyCPY9diT03wKE9UwO9Pb7Wsj0y/bs9BXK2PThQDD47gB4+7dsdPhK9Dz5YwgA+iCgAPr/qCj5ZzxU+LpYHPjxE5j1dbuM9JFjgPeEexj28ZsA9xGzbPShzBj7etQM+7KT7PcB5uD3zJ6c9NtqsPSv8tT0t9Ko90r2pPa2boD1jLJQ9g+SfPeUDnD3IWo892r+GPRdF3D352fo94MMKPpoZ+z1QNcY9BbnVPSRbyT0faMk9tuzKPQvFnj3CvZw9AUOXPfxUhT2fkng9RmaKPYhbsj1W1r49ZVmsPb6Coz3o2YA9lXV0PQaIhD2KfX89fItZPXNGTz2w/Ek94jE/PU3fbj0ydEc9QqjKPfap3j39Nro9jNuuPXYu4z0iy7U9/LqbPVO5lj0c/Yk9CP2DPf7ZgT1r+JY9PG2PPW3tbD1/xmQ9evZxPRIFjD3Yc6g9uluxPci2mD2nb2g9rvg+PSheLz3e81Q9i8VhPQZ5RD2+tj49jMdNPQSNfT3FvGU9O69hPUsaJT5YfAs+g2D+PY0RxT3uo74944emPWe2gD1Aek89vyRbPbomgj0rK4Y9A7eAPSK0cD1B31k9daRVPWt+Sj17mU89s85ZPV52Vj3RrCM9x4EcPUU5FT3I0hA9jxgUPXMJGT3zjhg9Cn4iPbq6Pj2esTI9hA0hPQvmFj3pKgg96I3wPJXaYD1DaXs90QiSPaBliD0X4GE9OIxUPdeeVD0eVls9wsc2PQ0aOT1ldDM9z4AzPYLQOj23xTc98uYIPUvACz1Cvjs9hP/4PP5A/jwGBgo9GdfwPAoB9Dxv8uk89/rjPKzN8jzGlO082rQFPVi1JT0crRc9fTfuPBmD1zx3BwA9eUILPUbsFT2xeQE9WG3kPMq67Dwt8/88I1MBPdxsFz2nVxY9xGUDPe8gAD3zUQE9ENQxPS40Nj0OHDc9DPRIPVE7TD1gFUs9rplWPSoyST1SqFM9S+FhPZ/GUz1p4E09FzxNPWeOTj2QBl09J1ZRPf82WD2TTGQ9QmZvPckzmz18GKU92eqQPXSxkj0w1YA93dKEPQdTnT3Vf5w9rVaDPcAThj3PKHw9gzJ6PTq0hD0qFIU9c11rPdCIdD1yd409LUqVPQf4pD25YKo9Os+rPVRLsT07TqU9l6euPYOjsD1KKLM9BYS7PWgkyz3jtNo97wfaPWQozj0M28s9DXi7PSTdrz2eHLA9nHHbPX194z3q6QA+kiSjPZyUUz6iApE+ADOFPjb7nD4nxXU+a5c1PmYWST7h32I+O3JnPgx3VD7gZzg+BXYiPlCbLD665wk+5ST8PV1y4j3b3RQ+odhDPv+PMz7fVSM+Zi4QPhbD4z05uc8992i5PQJ0tz2SV7g9uae+PcCTuD1HNrg90JLBPSf53T0Ysgo+LcrSPXsvxD3B98U9x/YcPjKLiT7+UmY+VqFjPjzjhT7FYYs+j5qDPpwTQj5xmCk+yWcbPq7HAz67rwA+h9wMPmvLFj7t0P49BZDlPTKr5D2ltNc9jEDdPdug8j358fg9y5wCPurGxz3sC7g9CsawPVualj2skYo9pLSKPS/pnD0RupI9EuWTPdZtmD1+PI492M6IPSLtiz1Xbok97+qGPTMqfz2dAYQ9GzmHPa+riD3x04s9F52LPUzChT1S03494wWFPRb/gD31poA9VFqDPdgIfD2gkGc9l291PYsuhz3oaIU9LxV9PTKxgT2KB4098WKTPdNUkj0oNYY9qF2IPZ8viT18A389m0hjPRK/az3BA3Y9Wsd6PX3bgT1kGIc9cnuFPXslkT0VnJk9LZeTPdCtiD1JH4U9k2t+Pfx7dz3Shnk9en6FPU1qjT05Sp49MvmhPVHnkj3Jk4g9KDR4PW24dD09Rmo9bkVyPW5XiT0o3JI9ExeIPeB1gD3OL3c9Uk1gPYrqUj3XGGA9oSZ+PUOogD3LBoE9nmiJPYz2hz1jYn89KAhdPWeBVj0Drl49Wy58PYI/cz0jA1c9cmNRPbMoWj2YymY9Dh5uPaUDgD335oY9dSWJPYVigz0awH4932R+PaRpgD2DGXo9QL5sPUAtcD1XkW89ewJuPQgOWT0AjTk9Ar41PSq2Nz1xbz09q4pEPdeqVD16hVY9kzFXPdj6Uj3TBFQ9wH1LPXLiRj1nFUA9xX86PQoqNj3IwDc9z9Q9PepvPT0tEj89vdpFPXlHPT10oEQ9Ro9NPVgGVT3Hy3I9omxlPZ5fOz2xpTs9DpE5PZggMz1P3Cg9sOo1PYs+ND0Vwxc9a2UFPQlVAz3MQhA9htwpPeagJz2K/S89dWssPec5MT3b+S49pN+cPb3B2j2b66g9k8R/PWTBUD3HwUA9hApJPbSSbT3iXaM9pO8TPnS2ID5w9yw+qHs5PtYFLz7OeCQ+vBQwPs5ZND5pdSw+N10dPrP7Mz7t7T0+iss8PieqND6TCjc+udgvPv/QKz6dhCk+jkEpPk5pMD6j4DQ+sukdPnQ8Hj4lvBs+tgsiPtYyLD5Z+C8+fWInPr1lKT4UOSU+DecpPhD+ND65JEQ+MDxCPszOGT4z6io+qIo5PsfDNT4r/yo+eSEqPm9bLT7r+Cs+BLEhPvsXIT7bYyU+QjQoPnPvMD7agDA+Q4syPoi7Lj44/S0+tiEsPlspKz6eox4+1nMaPifQLz6fiUQ+iTosPteLIj7BeBQ+TckgPmx+QT744zc+eXIhPhpDJT6H0R8+nmMWPiRWOT7VZC8+0NQiPinUJD44Hy8+rH81Pm38Pj7yNzs+uQQsPgURJT7SlDM+SlpBPmENOj5cvjo+Ra40PltUJj578Ck+YJU0PvJEOD5qKy4+V8UzPi32Kj4efTA++Ro8PvvKLT68ky8+ays/PmNdOj5/tC8+PZwsPmrrJz50EiQ+o5ckPhJLKz7dlTo+I45CPi0kNT6FrDE+0k41PuG/Mz4thjM+EMIzPrxVLD58xy0+cK02PnU6Mz6ykC4+Cb4xPtsfOD4Bzjs+WDo3PoxJOD65HDY+inszPq+JPD5evjA+0XYzPgx7QD7eaTY+ZH0yPrCGKz62TCg+cRwiPpsMFT5VNkE+qsNKPmgMIz6nsjw+4b81Pu8TMD5Glh8+FwYYPlcbHT5dPCg+Fv9APo6YSj5nsiA+chD5PSgmBj6/XDE+wuk+PsOqRz6QnU8+peUpPszWJz4KUik+rDAmPuhlLj4gBTI+ZuAqPuNaLT5fsyw+pVQdPrS5Hj70ZDM+l+EePlHlHz5qwyc+WrRPPrBfTD5i2iE+7G4pPmyiOj5Lii4+t0sXPkz3ID68+Sk+o0kpPvq+QT5kFT8+JOw3PpFdKD4V4h4+eswcPokCJT7VxDw+ImVVPkFkOD6pL/Y9NHwRPkayZD7k/o0+tCiHPuPMOD6LUjA+BJ4mPm1TTj7F8HE+bxNqPpnwQD68qlk+Cb1QPqu2QD6Jxkc+n/dNPge4Mj7jgG4+7OhtPuroKj6EvR0+2Y00PhcrST7sEi4+3CwqPmdvOT7AwG0+iIiBPpPBdj4DY0c++pk3Ps6SNj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/8lCxPWHEsT18irc93a7QPUsa4z39zOI9DTDgPT0uzz09z889r/O7PaBomD3ZbIc9gzCNPTYkiz0/eY49eVSSPTe8hz3wt4c9aWmAPbZogD2wk4g9r9qZPX8ooD0oaJY9coabPdulmj0uLqc9yw3DPXlbzT35+rc9J761Pb+RsD0kXLw9JRvGPb+cvT28Yqg9NIOzPfrywD1tHLY9Vd+sPaFYqT39r6Q9lRqoPW8IqD0uz6Q9Y6yYPSbhoT1aS7I9EXujPVv2qD2JYqA9xQuXPQY8oT0Plpk9e12PPTyfij0V1I495NmPPWs7kD2o3ZI92ISPPTMbkz2wM409asCFPWFCij3kNHo9goR0PTZmXD0zeEw96jZgPSY1aD3TE3M9d6WCPU7lbT2xFWs9yRlxPXPEej0bkoI9mhZuPaBVVj3uIU49RdRIPdOmQz15flA925c4PZ+kPz0pXkk9vGJKPesAQz10eGE9FgpdPe0oTT1XrTs9/xY4PapsPD0jOkY9d/JNPQ5GVz3J80k9cO1HPZF+UD3Myk094QxHPQVFXT3612k9e2FbPYowST05/Ts9W0BMPagKVD2qL0M9Dx1DPf3KSz11ImE9PKhIPeWuOz2HHl89Mb6FPZ7vgT19Zm09zxJjPSfJTj0YIDg9ZIslPf44KD3tnTA9ezIzPSkBMD1qYDw9Ezg+Pd4aSj38xT49UeAnPaPXIz22XSk9hZURPa1LDD1DAAk90gEFPYx7Bj3xChA9Ql4VPWu2ED37vB09GW0dPYT/Dz2kZgM90/HoPLDn0zwLWPs8jVoSPW0GFD1ZhRM9ONwLPYI/Cz3tqQU9vDUCPQsR9DwqNPY8+B7tPH/V7jyEze88YPXzPDHK0zw7wMg80qDaPPGh2TztRtg89gvqPIid4DzgNeU89oLfPLeK3Dz4Hew8iDkBPV78Bz1s9f08Ob/zPGBK5zz7vOA8057vPOu0/jx4tgI9/nTmPK2RyzzAYN48rYHgPLLC3zwRg/o8uKYBPbkGAj3xNA89k4MSPWdjHz0/XR89HNUrPbyBPD3inz89b1o9PSwaQD24y049MFxWPd0xVz1ZgEU9+TJJPVQwSj3Bp08917VgPRqmVT1Ma1c99O5jPZ4EbT3Os5M9jxmcPWxSgz0mO3w9/PF7PQZBgT0icY09FmyPPTjPhT3KQ349vZ15PSSndD1isns9lUl7PU5Jcz3L8nQ9G1OAPbObij2eFJA9AUKXPfNqoD0Jn6E9mYucPaEFrj3LH7c9tQW6PRWrtD1MD7s9UhLGPWtD0D2VQsc9vXu+PXCGuz3PXrA9U66oPf4xyz1tItk97M7lPVI8wz1Sl9Q9UOzrPTsu5z3Yhvk92dbSPVkgvz1zSMw9t73fPfVK4D1ectQ96JrFPdQOuz0/Nrk93x+tPWFLqz2eHKU9cae1PY9CyT0MMqg9MyukPcBBuT22VMU9P4m6PQjznz1oh589cqKlPbZcqT2I/qk9lwSsPbX1vj2t08o9PgPXPQVqsD3u8qY9K6CnPXURtz3vJ+s92kjiPbT41z3vleE9i2HpPRyc2j2VIMc9h0W5PeICuj3V9a096aGpPb4nqT1lUqM9LESaPUpFnD2QtKU9CieZPZm0mj0Ctqw9nH2pPcdFoj0Qsas9GZ2ePa3EmT3lQYw9c3l/PY99dD3mIH09E5yLPT4cnT1lX6U9ndydPVsAjD0cz4o94ZqMPf9Ngz0fxII9/1uFPXUkjD2fyYg9HHSEPYaSgD3Bp349pGN+PTWAfD2uP389W7CFPW/Lhj2k54k9GK6HPTlYfj2Yzoo94jeKPekZkT2QOpc9b76ZPapYlj3Z4Ig9KGN9Pa+Gdz1RAHc97T5uPfclZz2R/HI9sumEPQKQjT3sGZU91MGWPZdDmD36U6o9EU6hPV3BjT3BX4w9/vaSPYJ0kD27XZA9VomKPaa1iz2IIIk9J5uNPR2Diz1XE4c94bt2PfENfz2YQos9/HWQPRpAjz0qX5Y9mYCGPf8CfD2nEGk9/yNbPbhOWD1BuWQ9bmt6PbmejT1jeIo9MhmIPciFjj1z4II9yGl7PaiUaz1R61o9al1nPQXDZz1RUlI9xHtVPS+HZD36Enk9kXKAPcJNgD10l3k97UF5PcYYez3j3n49J7p8PUGTfD0w/3s9fWFpPcBhWT0um1k9HMxWPeTeVz1pAVA97stBPWGDQD1gIEg9az5RPQqYVz1yJVc9oihQPWqjTj0rB0o9WzpKPUwTRD2XMUA9OVk0PQ/IND0MDjc961NAPcL5Rz13D009Z5pNPSeKPT2xEz89v4RDPbLWOD2xDjk9sgFAPfEtQz3OtkQ9Rlk+PaVUPT2/Xk09bE91PdYSjj1Q0Eo99+DwPAN7Ez2+LSE9kqQjPZ0VKz0oEhs9s2cZPRh4ID0/+yA942QjPTSnLj3WWEU9cSRaPZ7DRT3QtyE9lvYPPUHLLD1Pb6c9yrv4PW9yKT7AXyk+RlUePqpTHj4l7B8+IzcjPkdhMj5geTo+MpQ0PqFeRD4+ZUQ+O8lEPo6UVj448z4+8rgxPv0xJz6dsSA+c8UdPqWCIj6doyM+zbEnPkI6Kj6kliM+LasiPqzaID53bCA+HQoyPrO8NT52gzE+ifg4PllSLz59VzQ+R2M+PtluPD5bAhs+8SkfPpmuKT7pOTg+jw81PlGsJz6avCk+AYctPoQAKT5pWx8+OZYUPhyuJj7YuiU+rRUhPj99Kj5+zyw+ZVkqPlIPMT4u4yw+Vc4jPrp6GT7Eeic+3Hk8PnQKOz43GTM+jLwiPjWnKj65p1I+K1whPjorGT5SsSk+Gjk3PlKvMz5HWyI+t/g4PkChPz7EGDo+RIZCPoW2OT688Dw+WrgxPshdNT7wiTM+t1YzPtFQMD7JXTQ+svk5Pu6QNz41OzI+mn0tPhE2Mj4qVzU+bMkxPlPTLz40bDQ+HHQ1PiwTPD7+YjY+ZOIyPg2VNj7d8S8+ySgnPtGoJz5L9ig+PSk6PpuENz4X/TQ+f/FBPq+kSj4fLUk+BQA7PiyuNj60DzU+Ne4xPgOsLD7MojE+qSM5PmxWQT6Q2DA+eyInPi6UJj5sFDA+FEBCPmlXOz6aVUI+sHc2PsarLT5CRSI+pLIoPrOJHj5SpzU+AF9CPi3PQD7HhkE+SZ82PrN3Mz7KmCQ+dewsPujKJz6NECE+R0ZAPvFjND4usCM+R1kMPmlR8D3FkOc9xz/VPe03DT7YTj0+q/hAPkYJFj43VxY+Yk8hPq4ROz7COlQ+It1DPmVGLT4fAi4+FX4rPl4iKz6jBik+YmklPjFJRD5W1Vs+hVVXPmJzPD7u8DE+VqsuPkQNJD6Vwxc+BZMgPsINOz4Y9jg+XFE+PsE6Mz623BY+YZkbPu52IT51OiI+MZYaPrtTHj47vjA+QvM7PoZZRD4GkiE+vKodPrQoFD6NkiQ+ngZCPuaTVT5I7z0+BX0UPvQBKz7BeYM+xXuPPoGPZD5HdTI+UFsfPlPQDj6NjhI+gcMcPm09Hz67SC8+vp5KPmJ1WD5qklc+8TpaPgInRj4+EEw+sLFMPtmWND5X1Tk+9DQzPszhMD7wByY+LnopPnLGLj5q7y8+lYpiPu56eT4I3Tc+02FKPsvOjT5S77Q+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwRamz3bg6A9CMWjPRhbrT36nr09ehnJPQfpxD0LdsI9taqzPaCknD208ow9wtF/PWCyfD0Ly4E9v5+MPQ9xlj1+cZQ9P5WRPedEiz3qwYs9IzaFPeu4hz1bVoI98wmFPVfdmj1gTpw9UNOePXYWnz1DSZ89PvudPbpIlT18fZA90I2VPXb4nD1qJpo9UQykPdDLsD2Zw7A9U/evPQbgsz073qo9IXOcPVG/kD3vDZs90YSnPZemsz2RsbA9yTOtPQ2bqj0ZxLE9GU2wPQPrpD1tiaQ9HCCdPf1+lj3UH449smiMPeiGez0L510955tdPVcMaz19eYI9+JaFPUUdej0U5XM96D5dPe5CXj3V71k9efxfPfQPbz2FcGQ9VIJTPf2LVj1Ynmw9wYWCPTt3gz1oAHs90FSBPV8gcD2qBGI9FMRrPQUJbz1zyFw9CftGPc5jOj0MEz89qapFPTnsRT3zQTY9k1lDPQwOQD0KRS897RMrPQ+cNj39YUU9NpFNPY34Vj2vAVQ9qrRWPbwJZj1uVmg9eMdfPQyqRT16uUk9GF5YPdngZD3DXmQ9hChePfrtSD2btTo928BUPZ0ZWT2sDVk9dANNPZE9Mz1CqSo9JTQ4PT52QT2zm0I9FRRBPW58RD0+rz89T1kzPQbVPD0/EUA993ZKPduFTj2uMzk9lQ4zPQv0Lj3h0E49p684PQrQHD0Fwh09loUZPTKeHD3Q/Rc9ZS4cPcWmFz30YwY9p8wHPdnq+jwk+wI9PnsHPcrKCz0YlgM9KRsJPZGM/DyS6uM8McMGPeGsBD2B3OM8qQ7nPLr46Tx2Lvs8jM4DPayJ7DxpGd48CiDKPP/A4zyGlfg8yvjjPDu71TxI5/A8ACnfPJEK3Twf5OE8yGnlPEjm5zynNcs83mLGPDQE2TwlhM08587SPAcZ2DxgsOk8VqzXPMnQwTwkIMg8wQvUPGpM0zzGiOs8PBfoPBRO2Ty3Btw8F9nwPBWa8jyWb/Q8Qnr6PBWR4zwFsPo8rGcRPcbOCz12KAo9vPkOPQXWJT29gD09iWo0PWldND0u1Tc9OHA/PdBpMT317zM9yUM1Pev7PT1rGkA9mddJPYddXz1P5Ww92GdtPQenfz19S4A9NXp0PSDdXz07ZW49G06APWO2dj29GIg9nyqKPRlSiT0SKHk9p4xpPdleez1OaYk9WwiDPQy/ez3XUH49dRSCPaXadz1zt4E9CVWEPVmJiz1rsJs9PlukPcKzjj0Pdps91t+rPZ1EsD1Zi6Y98Qy0PVPlrT23KrY91by3PVu2uT0X4Ls9DzGfPbitlz2DnrA9aSm8PVg8vT1Mc6E9gqyaPTH2oT1QGqQ9DyGcPSXylz1Fb549Y1WmPQhEqj35u6Q9VNOYPS19lT2E/pg9fMqPPWemkT2lqoo973yFPfCzhT1NQIg9ss+GPdv9hj3PoI89ImSePY/9oj1IRZg9ZzONPWUWnD1XKpw9SWSoPYHCrj0FwrQ9IqbAPSTSsj0y15k96Y2aPdc0mT2T+Jo9PoalPXB7oD3W1ao92K24PfnMtD2Vh7A9B9uZPezEkz1yCpM9ux+MPStOmj0UuJs9ppSSPR6Flz0OM5w9fveXPdZjkj2ZsZU9fxmYPRVsmD3kH5c9if6UPRIciT3UC4Q9O92APUP/bz2POHE9GHd7PeG6kT3Lta09LbKvPR6XrT3GeKA9U5mYPZJpjz1gWYI9yY1/PfEDhD0/zow9W/aTPfQGiD3qKoI9Guh0PeNDZz3TWWs9TIuEPbpjij2Buok9ikSIPbNMgT0/J4E9p2GKPZfLlD1MAJM94JiLPYxAgz07IHE934NoPYE9cj14Y3Q9ya9jPSlFaT0VS4I9J3yKPXbskD0N7JQ9nu6LPQA9iz2I65g9kwiWPYWYhj1QnHw9nH2FPUjmiD1nt5s9EpmrPdSZkz2MSm492MVmPVyKaz1N5ng9IfGFPVO5hT3wyog99KCPPcZ5kT0b64I91Ut0PX68bz2arWo9bdpmPceydT2C6Xs95oKDPbT4hD3MooM9xB6MPaZohj2Qk4I97H5rPZICYj2PNXc9GcFqPQCjXj2J0F49ILJiPdI1bD1enX49c/Z/PXmWdT0uh3A9katYPVEfXD0tenY9n1iLPdjuij2wKYI983p1PXyvaT3LA1A9KWJDPeMrST3ntD89i9E+PU8DPz3vMUU9cmFBPfXgRj32s0U93BRFPanQST0FilE93BRJPd4YPT3eOjQ9NXotPal8Mz3jYzo98Oo+PV1mTT3OMFQ9+3FVPfhZTz2BDjo9P9czPVJ6Pz1eM0Q9wbM8PfS8PT1+wz49309MPfMUVj0RCl89IGF0Pe6OwT0iQyE+SraqPUVKFz3W4h89TtolPYjKKz0zIy09eOIhPeNvFj04vSE9ztIrPXWcKz3TwyU9OdYsPag4Kj3k7iA9g0cXPUPEEz3bAxA9ZN4rPZprhj0utgI+FftFPs9mSD5gCCc+i+kbPtTpEj5Okxc+YcUiPsgcIT7MWjE+R3kmPiZwKj6xmjg+7Hg3PpEBQj7W7EY+tPIoPt7hGj7M4CY+ro0hPq3sLj70WTY+7TlJPg7rOT7uwyY+wIgbPvx3Ij5NpSQ+S7MgPpjPLz6WfDc+TQdIPtT3Oj5T1SU+uYQiPmIXHj51iSE+gSUtPo4KLz4L/i0++30wPtXwMz4h6yA+pjMYPsdAFT6PSCA+XZMgPsL2JD4nliY+mxE0PsuHLj4vzDI+IFgzPj5hMz5GIjI+FVoxPne9MT7LESs+g0QSPpqaFD70lDY+pXVLPsNXHj5fnTI+jYc/PunmSz68ajI+RbIgPpnWRj40ID0+AGMqPkOGKj7WmDc+u685PjjeND7oATM+rbEsPo2GKj4Ikic+iAEqPoh1Kj5x1jA+RHYqPnhsJD7c0S4+2YI2PvmiQj5NCDU+NII5PgwoOz4qSDg+7pI5Pp65PD74bzI+IKMwPuFZND404Do+inFEPq5IQj7NIzg+xuk6PhjwRD6XEFA+3N9EPu5vRD7PTDo+jRErPioUJz7yfCc+baUvPnFmMz5suDw+XAM/PiqwOD7IDDU++BQ5PtgWNT7MfzE+RTk9PpuROD4rNjM+vAEuPlbWID4evxc+PyoePs+zTj4jR1M+rLpMPu+aPD47Njk+60cvPkZNLD7wHzw+T8FCPpwFST4hpzI+gnkWPnJe0D0pFZ89nMCdPQm4rT27Twc+85MuPkI4Nz7uxj4+Hd05PsiBLT7xpDg+wEU4PhwMKz7qChk+xbEsPo/yOT5N2S8+3ZYrPtMwKj7FtzQ+5Jo3PnfGQj40I0A+BvwuPiJ6Nz7Euj4+O+EcPsGvJD69KTY+UjpGPhf4Sj7xGTE+d/grPrd8Lz57Xjw+EIoyPv42GT6IMR8+G9o4PsujOD6LtSI+j1EEPgiTDj6KFyA+Zlo/PiTHVz4d31Y+j/JWPru0KD4tkzU+cAlRPrbEPj4a5jA+HmswProcMT5lkCs+0s0uPmv4Lz7Z7Sk+xFwePgkkID7FPx4+Q9czPnEaOT7Frjo+ifyFPmHShz7oM04+Zr1EPhrwPj6W3z4+FkAsPn1yJT7XXzA+JdIuPi8AMT6ekDY+GWouPr46Lz7/2G0+/NGNPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+yMp89HBGgPSTfqD3Un7o9LQXGPYhGyz2B8sQ9lrDEPSPLsD2c/Iw9xXd9PXc4eT3pRIY9g0CQPdYrkT2N6pU9puuKPX8YiD0DDpU9gu+LPS1WhD2TJYM9QhebPT0Foj2cApw90BiZPflGmz1L5pI9pM1+PYY8kz13dZY9s02NPdbbkj2Vips9ihOZPR/PqT15o6U97N2SPeq6gz1d5n89c9h3PfiKjj0rjZ09WjCoPXUGqj3Bb6g9ddupPRf0pD2/qqg9bDqaPYDZlT0KYJs9ZoasPZyvsD02c5U9K3Z4PUAiZj2FxGk9kjR6PS6Gdz2Hpnw95Wl9PTiYcT0Gr2o96TJzPXIefz1FE3s9auJmPYsZVD0RmlA978ZVPVInUj0jA1I9bHhoPTRZXT27rl09WyFhPaLqdj0FjHo9e7l4PQ0xcD3RjF89og5WPVgkVT1pq0k9VrZGPWDxaj0sm209jPlnPaNKVD0A5FI9GdBWPY1YSD19w0Y9MhVNPfT6aD18XWY92DNXPYMeVz1i+1E9mSlEPazwMD0vijQ9m1tGPTmTXj1nB249Ad1lPXiiVT1BZko9rLdoPau5gj1Mml09eJRCPePFRz15plQ9oYtXPTGqZz3C0Vc9PXJZPTyAWD3D+k09Rf0wPTtcNj1pp0M9HKI1PYGaND15bjI9Pq4qPV/jND1VODA9P40yPXCoOD1UtSs9OUgbPUMJJD1tayE92/4gPZT5Gz2G2xE9n2gGPZPX9jw/HPk87qUDPUBk9TzkDvg8E8IAPd7O/zxRg/A8EGbYPKUI0Dx5fus8yy79PAhO/Dy4OuE8wsPhPGx44jx2bN087mHcPNVhyTwHC+E8rs39PN+U4TzWAsc8iwHRPLu11Dz6aPc835DjPIbF+TxBHgY9hrbyPEMiwDw9R688z9G8PJl8yDycKcQ8nVi5PENgwjz9xcI84JDFPNry1zzcQes8+WbxPOpE3TxQN8s84wHuPGKK/jxYD+88QLfqPNyH5zwWjvU8HOD2PMZiBD3qTQQ9wBsFPeAeCz0hxwk9b3kaPaGhJD3d3js9KUg9PZv0Oz2dSiI9eEIgPe3GHj0w6i09t+FPPQ9+Wj2LZXY9vs1uPUgPbT0IpF490YE/PUGbTT0xrno9+6iJPdMOiD0RDII9Sl+APfKjfT2EdHc939VpPSF9bj2my3M9d5ltPVpFZj0RRWQ9MG9rPXSgdj0IYII9jS2IPTWRhD3GbYU9+u6GPdPHlT3v8JI9O8CMPXyekT2H1Jc93xmgPRcOnD2IIaQ9/eeqPQxrrz2IEKU9JPucPddfnj26Mqk9WAG7PfKkuj0UTbI9TiOyPbnGwj1mwb89EL+tPRVjoT3KHqM9i8qnPUOInj3LjZM9iAeZPUM8nD2CLJ49kueTPWU6jz1lmZs9FviVPSqyhj0ZNIA98oZzPRAveD2Az4c9n+aTPYRbnT0gwp893x6hPZYbnD0FfqY9ZPG1Pa7WsD1oH7A9HAuwPQBqrT0KVKc9L5+dPT6jnj0006k9x1CsPajNqz09p6g967qmPVCIpD3Gz6Q9hJajPdLfnj0r3pk9k32UPf1Zjz3F6JU9J/ePPeZKkj1wvpc94TafPd//oD2kT5898NikPXykoj3vzaM9zMGsPb+0rD1jKps9Ps2SPWE9lT1lEqA9DUSnPaWioT1TRqo911erPQSspj1ECKM9VbGZPbgXiD0CtoY9ayyJPZyDhT1PaIo9NcqTPWr+kT0v2pM9J+yGPXsHcD16MnU9AhKAPX6fiT1E+Yc9a/SLPRUziT0uPok94a+RPSeEoT2NwKk94/6ZPZiPgT1VPns9Mep5PeZIgD1Lg3k9jPmFPdi1jD2Guow9UzGKPdvJiD2Y2JM9NOSTPYpJiT23RIc9jPiGPQNjfj0XdXI9yKt3PV46cj3SfnI9nw54PSdRez1lLXY9iW9xPTTCbT3tonc92OKFPYEskz1hM409Czl7PShFbT0+C3I9DTVzPW2hfD1YWYo99xeOPe0+kT0H9ow9iA6MPTOfjT3OeYU9WfZwPVnsgT1yWmo9fcdfPZ4mYT0i8nk9vjF/PScSYD1oaEk9k6BTPVkXZD0ClG49+uBwPXLaYz3Pj1098GZwPVF/eD366YY9i4p9PWY/Zz2mpFE9ri9RPZXqTD0o9UU9WZVIPbH8ST1rikw995VFPYTVSD0aKE89tdlNPStdVz16p1Y96mhEPVyNQj3OX0o9J+JGPSLMOT21Dj89OzVIPZIMOj0vf0E9XhJJPW/uTT2tsEA9pl80PRIDNz1yzzg9ZloyPaHiNj075D09FSpBPb2QOT3RGjg97Xg5PbalOj3zojM96b1BPTh+SD2le089ggxQPZNdPT2z+zw97bw+PcCjNz363DU9LNEpPX+aKz1PGic946U3PdvCPz1FVTg9fREqPRE+Kj3DxCY9/yEePdiaJj3ygC89/Z0YPdQjHz0yTEU9HAXyPewiZD72XDc+us8bPhONFD6ztRA+kLkcPiZdIT5LPSw+QuYyPrvXKD6hGic+5j4iPos5WD5P+3s+WXd4PluILz7sRCY+GbIrPjl1Qj48Klc+CJN5PmGZdT74sEE+8AMwPgUPMj7BpSg+F/gmPofNJj69ETU+xTl3PrYNgT6KUEY+CKwjPu30IT4OpR4+04QmPsGWKz7HQh0+0gs2Pp7INT7PkSw+q7YkPrIoMD6E6S0+u3gvPnYTLz6ryi4+N+gvPl14Mz7OJzc+7bhdPs3vSz5R70Y+8vc9PnltKz7vZjE+GF1APiIxKT64iTI+jqFJPrBjJD6NDEU+L0UoPjrbIz4sRz4+3S9kPso8Yz4qr6Q9w/JSPYyg7j25FR4+i7crPgfrKz5o6zM+okUyPg6wJT4NxSA+xdczPgU1RD4uDDk+E6wzPkb1NT6/cjM+MbAyPmp0Mj6+Uzk+plU4PsGINj4mBDY+CTowPm06Nz4olDo+lpk4PpeOMz4+KjI+xuM7PtZYOT79yUA+YDI+PqBZQz6ltEQ+fThDPoldQD4OKUk+O489PqvfMD7Wf0A++XxFPqpbNz57yzI+Sp5JPrOMUj6GNUI+Vpk9PmhjNz4fJz4+2Wg5Pr3XLD4BByE+wS4iPh8SID4UeyI+wtY0PmVHLj6X50Y+XhldPg5sWj6QEjo+VLQWPsItKj5P6CA+dAcjProKIj4KMR0+elUePh31Ej52ngE+nD3nPUPG9T1Slhs+coo/Pp7BTT5P6y0+4/g2PiRCRD6V+zo+FMIpPkh+KD5HlzQ+5s8cPvq0CT6tBhE+cmYbPnR2JT6psik+Z8IgPr/VPD4Z+Do+Hs8kPp7eHT5mIy8+c2g+PsbdMD6TRiI+NY0qPl5FPD6NQh4+IZIWPj2nKz4ie0A+YaE9PiavPz4IJyI+JMkWPj1OFD6AOxE+sX4hPgUlIj5IsyI+NzUwPj3aPj6LYDE+8vQwPi4KMz6PuC0+PA9CPqrzMj5HJSU+AEIvPvUoNj6vqDo+kV81PhYoSz7Bp00+ZopEPlQkFT7ktyk+Zfo6PiwZMj71pic+RQInPhrAOD6hymg+dKpPPjYyVz4yrWc+IEBePlLcTT7+eDo+nJE9Pq35QT4iXjY+L7AsPnj5KD5aSy4+HZosPsgoFD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/MNKtPf/Orj0nkbU9luC/Pf1dvT0thrs9jxfGPdHfxD2k5LQ91SaSPa3lhD38iIk9kP6PPbKhhD0ZFYk9eAuOPbbujz1hzpQ9lLOPPfS4jz1i9I09MqWNPf0tnD0675U9NCqXPTYOlD0MYJU94YeMPdlDgj2bLZs96kGpPepDnj0bBZ49mDidPdEPoz0tS6A924GZPVKjhD20JXY9SDR/PcqzkD0BBJA9IeKgPQNtsz3Tf6w9PlOmPZLcqj3WJK09yiqlPUgYpD3FhqA9uq2gPb+Fpj29Rqc9KeGIPZYeez1Aan09XxOCPSG2iD1GJJI9ZPuJPQFtiD0kAYs9/MOFPR+Kfj3pqHY9ta9vPa9NcD3E2GA9PNFNPdmKSj045FI9/aRjPVSOZD1SUGE9X/1yPd6pdz3h7XE99Rt5PeOleT1lsWA92C1NPVW5Tz0v/149m6tiPSrLaj03c3Y9NmtqPUYsZz21TUo9da9HPQ0dSD1WxT89v7hXPS7dbD1X33E9bvZmPfvgQD184y89CZYvPdmjRD1XTEY9he1TPVRbYz34J2M9XK1fPYvCRj2qCEA9CaVNPTnQcz2Osms9o5ZWPaZKWz2U6mY9XkpzPV9cbj1DpmE9eDBVPXyvRz0Sk0M9sZdHPcXPOz3fKz49KcdIPWmJNj0mgyo9DpMvPeXqQD3fdUA9Hh8tPRK7MT3DHys9SMUbPVFRCj1nuhE9o6ETPcB0Cj0+cwg9/h8DPUxhCD39WA09ip4BPQcJ+jzBMQU9DcoFPY+wBD23tgY9BlsHPZ4bAj12H/M8AAzqPGoJ4jwavNI8x4vXPLQR9zwfsQ498mwVPZHH/zz1EuY8U6nhPG7m2zxXwME8O1G8PCXM1jw4hek8z5PCPJCyxDwOS9w8vZraPHCj0Ty+47Q8UrG5PKO0uzygksE8OTPNPMNX0DzWRM08osPMPGQ06jzS++o8mD3dPKXE2jzzl9I8VJbYPG6O9zwlZt88D9fOPBtR1DwkoO08IDz2PBj26TyKxPI84MbtPEv/5zyLY+081DUCPce+CT1iCA49cK8TPd1yGD226xM9QC8IPdmfCj1QUxo9EQ48PampXT0bXGA9m4hrPUYVZT2l5ls9WYBjPRagXj2Vc2c9yoB8PRcSfT2hxmw9Q+lpPQRpXD0drVI9x91LPTG1Sj1Qllo99y1wPaXVWz2uJVo96glaPRv4Xz0JFms9aI58Pe62gz16FIU9KMmIPcmLhD0rJoQ9e1GMPdRdgj2qU4E9JkaKPe7iij1pF5M9NMqjPVKAsD0UaLE91H6xPRiKrz0LyK49/s64Pei4vT2SecI9zmnGPRb6xT2fV8k9qK7QPeQDwz3scro9JWS5PQyetT06XpY9gxOPPVhtlD2hO5M9fCOQPfHhiT0vjIY96YSOPW6Tij3KMYo9xseCPQkffT0F1H49OzyGPfBgjD14d5w9bFikPfX3pD3VOqA9ewOlPZFrrj2Kw7I9aOaxPRV3sD2gyK09PairPUOHnT2Pkp09lOutPQ96sD3XC6o9p2mpPa05pj2dJ5c9rn+PPXwAjT1Q/o49jieVPZUgjT0WvIE93I6MPe+ClD2YbJQ9rISbPRq1pj2wK6I9oSyZPf0dnT1pmZ4983qlPeAroj2fLKA9iouaPcTElT3CwZo96nWgPY8omj3PI5U9UYqjPS2ToT1VOZ89t02aPWK3ij3dFoM90D2BPbTUhz3GoYk98TuOPTGTlT2/hqQ9O/OmPWsImz0j14891GmMPV7ehT2LxYE9F4+BPVhJjz2sFpI9UWuLPUi/hz2rj4c9tL+dPfk9iD2Ni4E9baGIPY8/iD2DqIE9vbWEPdSffj140Hs9OfWAPQvYgj2lwoo9fRaMPUWphT0vv4E9n4mAPbrUfD3wynk9Ah2APT6/gj0KVYM9mxSRPXgLmD1pVaM9+fuWPcK4hj2oSIA9DDmAPQ0KgD2ZHXk9JY9uPY8qaz3TH4A9Y0iHPSD+hz1vgJA9y/ifPUIhoT2Bj6M9wBWnPWI2oD3nDJQ9n0CFPTr+fD2z92o9bgZgPXJSXz1I21897LdcPcVqXj0R0WA9+9dqPRJpfD0RV4E9VSeIPfcOgT1tJHg9sMh8PSyieD1OT3k9IIV4PepgZz0fP049+15SPakLXT2aKFg9MglKPRxiSD0j51M9IjxaPZAQVD1202c9V4hsPWk0Zz25wV897TZMPegXRT30NVA92cFXPdMDXj3OH089eFZJPSfYQT2rGTU9gzUyPf6JKz1fXyY9oykoPTftIT0kKSs9MM8zPacdOD0d6jg9FWs5Pa37Qz0g4EM98Y9DPYmbQT1Ww0M9mRhDPXjYSj0gglA9O0hOPQXPPz3Vezg9yoU6PZU3Mz3ceS89niszPdf+Jz1PnSM9sVwpPROwOj1uQU4976VBPQgALD2F5To9TFFDPfyzNT3HPD495MEwPcRYIj3IUSw9fblnPX682T2TRSg+JWgiPsT1Ij5tTR4+G1AUPpe+FT6ouyA+1fgsPvvnLz5QPDE+Ujw4PiPNMj56zEM+FtlOPpkXUj4/qTY+U6E0PirmVD66I2o+Zl1ePrzrcz7lcGo+lKQxPu/VMj7d4jY+IgowPnwCLz5qBiw+qNosPlUzYT6b5IA+pERNPpsEHT70hxw+nbsjPtroMz41qz8+DMQ1PlyxMD4u0iQ+ikoZPkggLD5gTDk+tSQvPjWGKz6uZyw+ALouPtC4LD7XdiA+cMMiPgk8UT4AnkQ+yuUxPsWAGT4hqy4+tk83PkxBMj4oois+DgEqPomWLj6Ady4+2dQ1PkQ3HT6coCY+CClDPt9HPD7HYxI+x4f/PZHUEz4JwSQ+dj0fPh0XFj4LtCk+b2JhPky2NT7VvCQ+QQAhPt+SKT5fPiw+y48uPnwTLz68kzk+satGPvuhQz6vYkA+PyEyPowpLj70zDM+6vQ1PiL8NT66VDU+/74yPp7uLD7o2y4+85c8PotDRD58Y0k+lXlEPizGMD5NQjM+m6szPjRgMj4Rszw+fs9LPoEbQT5UeEM+/hU7PmFYOT7ziDI+APYvPnD9Oz7jFD4+3PE2PmKcOD7ZOTk+L5E6PujTPT63/0I+DOA3PgzJIz4+VB8+xBwaPmiNOz7VzEQ+JHhDPl4gTT4gB00+Sr4qPrRxDD4liCA+z/IjPmCNHj4WsRM+M+MRPolvCj6HuwA++rUEPqi78j1ADMo9yZHfPS2WGj5sJT4+hyQkPr1lFj5EQUc+eFc+PitBIz5iH0I+n5BUPs3KKz6Z/SM+XrwrPnhQOD5wNi8+X4YlPtxRTD6lqj0+O88uPpyMJT56GSY+808fPrXVOD6M8kE+nJhDPthqOT4uwy8+NncgPpAXPj47Bz4+zq5LPtgjRj60xTw+zeQlPqhtID5OMyE+XPIgPgelJj6ZpB4+VO42PovKND73BS8+LxsyPm2FOD5XSz4+73kiPlxTLT44YS0+ZzAvPgLmMD5a5Sg+qswzPnotMz7Uqzs+GmBCPjSLQD4YryU+KAswPqRiNz4JBjM+nMwePs7wGz6BMUc+W20yPk9CJD4FvDc+SzNCPsiDTD6+EWs+EkJDPldzQT5180A+L+U3PqkBSD7nyEc+Y+MzPqgggD4Zo6Q+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzyLpz3KL7Y9l0W0Pbw+vD1wi8A9KWW1PbFCqj06XaI9qCicPaJrkj2/fpY9RaacPQX3kz0vZYA9dup/PcEggj0WtZI985mJPeQygz2XpYo9zWKMPZAMkT1VoY89WtaSPckRmj0B9pA9zHuMPV3kiz2h7pM9C7ymPfRStT3A0pg9+oCePZQ1oz2D5aA939edPQdlmT0fpYs9q2aFPW5ugT0p0Iw9gbOVPe6uoD2zxKw9Kfe0PTKrtz1flLM9Ue+xPdbPqj0t5aQ9hmiePYnpmz2vHqM9GaSbPXmRiz3hKo491YWSPUromj2FYZ096eimPTe4nD0KnZI9J4KSPYa3hT3OYYA9vW5jPcgvZj2a6Fw9ElFNPW25TD0DiU09w/JXPa0kWD2kQV49Mal5Peticz3B1Gc9kAlhPagVdT0sN3M9EIZjPUrsXT3PpVA9aZhbPRlEbT1i8Xw9p4yAPe7Rgj18U5E9hcuMPQeibT3VfE498GpOPbJGXj0VA2A91+NdPcLWUD0O3zg9+qk1PbPGRz3pMlk9URBWPZlASj1um0U9vjJNPQpzUj2QJkk9JBtfPdysej0sCXo9mYRaPThmTz0nRFU9dlVrPYyLbD150Ww9+CBWPU0ERj3HrEM932tGPWlbUD0yV0U9rihcPR/DSz0BFzQ90Wc4PesUPz0ohzw9Ml0mPc11Lz26cDw9E3sqPUtWHj3xpQ09DIQPPfqRAD2AIPo8goP8PLPk8jyEs/k88zABPWnq+DyrZO48z93kPFaw5jxwQwU9m7IJPTl7AT3YVAE9XUMDPYc97zzSX9s8BWfVPEOq5Dxtz948cUTcPBcv8DxGo/M8DxbePE+36Txvaeg83QnGPOc8wjwRRMc8ZtrSPHQhwzzz0Ms8gn/ZPJ1kxzy/lMI8lzTMPGqZzzx1n748aPW+POw0zzzdw9E838LaPGRV3DwJg+o8Ayf1PKqZ8DzyTP08FdX2PF764zxw1fI89g/qPBjN3DwziM08lvfOPBqQ1zyfa988un3iPI8C9zyYHgQ92SwGPVDqCj2c/Ag9ECsKPe21DD3qPgU9Y5EEPT3/AD1zLAs9YKcSPYyVTz3kAlo934lFPRilQj1QFUQ9VDBKPU1OUD1Zql49RpZdPQw9Uz0d50Y9kXhVPQLITz3TEUQ9IPBCPYqmQD3lfEY9E1xZPSgdZT0uPV49ihNaPa8oXz28Vmo9xYBxPYF7gj3GOIA9fpVnPY+MZD1nsmk9hMF5PRbBfT0SlHY9eph4PakbfT2B5389AsuHPV27oT2dRK499iWpPXF6qz1EU7U9Ou3EPTTcpj1Y5pk9RfGmPT09rT1Hr7M9YDC1PU/eqD01qK89Iu+uPTE8pz1o85g9DHuVPZ8qlj10NpU96LqZPfdXlT2Kp5I9UUSIPYGRjj0i/Yc9+iuCPQYUeT0xNnY95mZ7PVLDhD0Dtok9WoCiPapFsz0o77U9E2+wPWV1rz3cvaw9rIioPc7Srz0F8rI9Km2yPfNatT09/rc9/ei5PQpHsj0Pwq09OL2tPQESrT2bJaQ9w0eZPcAmnj2fCJQ9qqiSPetllT1rfJo9aUCLPUEZij21NZM95YWYPQU3lT3AdZM9sqeWPVA9nj0I/pw9ThSXPXolnj2Qsqc9IqimPflsnz3sAZQ9BQ6UPVrJjz1A0JA9HReaPdrQmD3J/5k9+G6bPZ/Ulj2jCZI9SZCUPczbjD3kiY09p1qePUa7oD0gnJM9QDmWPcmvoz20BJU9raOQPZL5jD2Bu4U98jZ+PRqjcz2LYYQ9EE6HPd3feD17WYA9buB9PaPniD0acYs9Vu6FPetKgz25YYI90meAPQlcgj2tzoA9CRJ+PfA3fz3RO4M9EyWPPQENkj1eQ4w9LpF9PdvIgj2CDYY9GsKPPevukz2XT4o9gNmAPRK2hD1GMoc9e/CMPRYWhz3S34g9AseMPfCniT3eWoQ9fTxtPQWWcz1/V4M9qsiRPV4zlD3AAJM9++eXPUd+tT0hVro9DrugPVEGmD1dP409yTSJPf31dz2f73I9+thwPWhpaj1c5G89k5twPdGxbz1xXm89ktCBPYTqiD0LCYc9e1CFPfb9hT311H892kZyPTxNeT0yvWw94rJkPUCNXT1L01k9s1tZPcJgTz0m/EI9TPpKPexlUT30x1c9xGJoPaKDaz1g02Y9rXNiPUS0Xz0m/1k9rOlGPb6BMT1YGjc9EstLPVHGUT1dLF09YCBmPZppVT3boTY9+fU1PaYLNz32ZTE9528iPa+IIj3GHyI9IDgqPcAOMj12LT09oyNFPfnjSj1Ax0I9rMRIPXe9Sz3sfE497xxAPRZXOT1sJUU9l8tNPZtsUT18DFA92tk3PRRPLT3CjyA9TKIdPQmAIj1fMiA9SCcePVTdIT0MbjE9KBswPXYlNj0gCDo9y0BPPcEGYj2lbEk9QOZDPS7/LT29siI97kskPeiRdz2RzO89sP4aPlEQHD49wh4+3eEYPu4kHD6J2R0+uf4jPnJMPz7nEWg+eGZyPjzPbD6cQlQ+IDIvPgx8Kj5TEDI+O3gwPjgnMz57blg+WWpDPg/EIz6BoCY+OzAnPvw9JT60jCk+OzYmPpmRID7neBc+zN0ZPiJdVz7cxJo+PUeFPnywYD7s6zM+pJEjPmX7JD42ujo+YOZnPr+BZz5D5C0+x7ojPgEZJT7+PSw+Avk2PnxlMT6CNB4+rqQkPiXyJT4phCQ+7MYkPlfzJj7glCo+Ag8ZPq1wDj4mMRQ+Mz4zPj3FNj4LbS0+hTcrPsyfIz4sjik+ZGciPppDHz4z1RI+8sYrPkYbOD462Tg+NWguPjdUTT596EE+eYAjPmzkED6GYxE+dEUhPsrpYj4FfDw+KHYhPpHyJD7XXiU+hAAgPjVyJD4UiCw+YY4rPjeKNj6teD8+xN1JPrvpOj61ZC4+2Q8zPgH/Nz6hFTg+jLU7PuKiLj4VcTI+hjg9Ph48RD6yxkQ+EFVBPmRINz6S1yw+BucwPs8+Lj66ADA+BPMuPuDUMT4Euj8+IzlQPvigPT6wJjY+UDIyPkX9Hz7R2SE+FDQnPp7gKj4eMig+LcwnPkoxKz5QXjQ+sPtFPjidQD6lpzk+G+Q5PnrxNj5cQSo+i6ovPg2QSD5Y8j0+dGU4PuucMj4sly0+De4rPrnQLz7SCR4+q/8zPu1gKT4EzgQ+itoJPrq5KT4q9ig+SYH+PeZ57D2dTgg+W0I0PkmGMz4ddSw+39k7Pu+dOD5irTc+NL1GPl9eSj5ADDU+054lPse6MD4olTY+LOAwPg4ZLj6Vxjw+8t4uPpACMT6WQjs+ZqdDPqivST4F8Ec+BwNJPrsMPz4B7DY+XI9JPjqvJT6pbxg+ejA0PmRiYT6YdFY+HIk+PizzLD7M4y4+y4k0PgbsNz74ljc+USkoPgdbIz7URjQ+YCI1PgAkPz4qt0Q+OB45PojqLj4X0zA+xsIzPllvLj7TBiw+qtAYPlvAJj7sUjI+PqU1PmBdOD7HDzk+s0wwPhP/OT41vz0+U/guPiBwGj5qUBs+ZxxIPk8QSj5p7Sg+GXkxPkDGPj5xqk4+Q2hPPiuBOz6iwD0+h2JBPseEOT7svTw+vZo6PtYpIj6gPlE+ezKKPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8dtKA9lSO5PZX2rT2WO689EJ2vPerPnz2Qbqc90vizPTt7vz2WXLY9YxScPVfilj2SL6Q9PoiaPWIAlD1Cno09o9yTPemiiz3G7oQ9Gz6DPehdhz0qAos9h+WOPevYoj3MPqk9mfWXPWs0kT09zpQ9lx+YPS4Foz1BWJk9yPSTPceKjz0Fo5E9MumUPdBnjT2wxKI9XgyrPRrXoz3Qk689YLy0PdTTrj0yUKY92ieyPS4QuT0EH6896RyoPfX8qj2I+bE9flemPWkclj3fYpE9/seSPf5Llz3DS5M9DN+VPXzYmz3NBaM9IjKkPXqMrT2gipY9FAuDPbBVdz2UFFM99zxMPb95UT3B4WA9ngJePbIdWD0fTmY9lVtdPeeNZD3yLW89r1lrPbbdZD0luWQ94QFfPYb5ZT1FZXk98rFlPZ/SUj0zq1E9WvpOPZA7WT0Idns9PRaDPV97fj3RQXo9kyB/PZfXez07bW09/TFoPSp6az3BPWM9QzNaPTHxYz2MJ1s9YN5SPfO9Vj2yU2A9TxFfPS5vbD2Ja3A9lM1wPdCLbT0fW1A9DjBNPVNndD1XAYA9wahjPT2PVD0VN1Q9YPlbPWrAbT1n9Hg9JT58PUxOVT3y8zU92ws8Pfg4Rz3ujUQ9akg9PTDFOj3gHjY95WVAPWJaRD2qsFA9gnBTPb9yRD03xlU9fa9LPdoWJz3TYCk9wdokPfS7GD0CXgU9puQEPdtjCz2hnRI9tB4UPQ/UDT02VwQ9iE4GPaiRAT0/AQM9lzMEPVPKCj3krO08+UP2PMJA8TyiD988o9TbPMeY5jxBKfc8/eXsPPjI8jzbC/48X2sAPWjGBT2FewQ9EIrPPPROxjypvcE8bcHGPIA7zTyVFus815kCPTqX+Txq6eQ89nfaPFSj3Dwj1dM82J/IPFAcwDxW4NU8RYjiPOhC6DyrGPE8TZPgPJCH8zxAY/U83gsHPQiGBj1/X/g8IBL1PDmL4zwnJM08DrjXPFULxjy3IMY8BLPVPJcT9TxgpBQ9O/ElPTpJGD1bsQ09aWELPTRqCT2BywY9n5sCPX6dAT0M3P08wVgBPbPhCz3l0zQ9FPxDPUWZOz3VoUQ90dpMPbErTz1i9mA9ULFQPch7Oz0TYzI95lonPe+hKz39YS49AhQ3Pa/DQT0YjEY9MZVWPQy2aD1yVV89L/pePfZHbj0+a3M9jRlsPRm5ZD0wSmI9VgRYPR5yUj03VVY9VZppPeruhz1QHHc9JHlzPXFHfD3XlXo9Rxt4PS3MhD04qZE9oTuSPQ5nlT2SDJ49hAKkPY0Etz3DKJ89AFiQPTkhpT37QrU9Ayu7PUyZpT3DT5Y9ov2lPZA6pD3p0Js99w2cPfuonz2GCJ89XmmRPe/rlD1CP5w9XCycPQLmhz1nf4g9zN6DPRmFfT269YE9J1CIPVNnjT2XWJY9MwyXPR/ZmD2Z6J097OemPYftpj1aqKI9Us2fPdKjpj3FK689GpPAPUszwD05C7c9dKa3PVY8tj1FX6k9CtmoPS7EqD0Nd589T1iUPazOjj11TJQ9/bKaPVvOjT20XI49XoeNPVjagz26PIc99mSVPT7+oT0BTJs9JfWSPS1Lkz1/zJU9hqqSPYlPmT16Apo9YiaZPX2rnz3m0aI92iibPdYsjj1rx4g9zwGIPRCniz1uypE9QwOhPaXVqT0zbqg95jqoPcu9pD2HRpo9i4yZPYkgnj3AoJw9vpGcPbsOmj2tHJ49gk6OPQhEeD3pX3k9h1J/PfvUgj2g9Yc9x72JPWYDhj3MxII9aD2MPWz2iz0lRY896u+IPXYOgz3CkIY9dXmJPfsuij2cio49tnaQPWJWkT1+FZc9Q0uaPQT4jD2oRYo9b5iLPZXthT240Yw9lSuSPcu4ij0yJYo9FXCCPQwtbz2Un2Y9AdpoPeimfT0huI09LkGhPXvHnz0QU5E9LW2IPakwhz2MNYg9RAmPPVeZkj3XjYw9P9GUPd8Ilj2TbpY9VwWSPQ3BhD3Q24Q9SQWBPaP9fT1FHHQ9z+J8PdwVhT1gm4U9jJSBPaDEfj2b9Hw9e3d7PfTBgj1NB4A9KA6DPQmoiz2NaIc9iWyAPRV0gT0NL3w9CaJjPWt5Xz39Hl89R1tWPa9IRz1oVEc9101HPe4pTz1Y8lU9OqVkPb5dcT2MhG49GWBhPRYHQT2ObkA9YqI5PYOZMz3xLzY91kw3PS0YRT0Y9Es9gWVNPR7qQD3jeyw9I3M8PbY3Tz2Mt009ezc7PQUoJz0j9ik9MAsyPXjmLz3eezM9P9w6PekXQD0ArkE9MbhHPVUdPz2L9jM9mR4yPXyWOj2X1ys9YKVBPb1STj0Lb009LA1PPQZMOD3ShCE9nhkbPYvdED2vOhM98lsXPYydID2F/Rw9JewpPeklNz3Iczk9skE6PU0nPD27Sl89qFJlPcm1eD0zu449if9lPT7dYD1TQNw9y1wfPquLJD7dryo+hVMcPjneGD7vfRg+Nx0cPq8JJj6xejk+D+NYPsqtWj7Hskw+lRVGPmLeLT4/EyU+zy8gPjUgHz7FrSA+w0koPlotKj7IJiQ+dJMaPlRNED4jJAo+rlwNPsd4Ij5DmSg+1s0pPoIAMz5pQlY+xjOJPg5JYD5dBUc+ViMtPq70Ij7Qpyk+seY3PvsgYD4lY1c+r2IyPsUqNT7TLTw+00dDPtsKNj65PiQ+2eUpPujRKD73zSg+3xUtPk5pND5iOSs+5aMzPkZdFj5k4A0+yjklPvv3MD7+2yU+JIs1PjcVOj6IFDA+zHszPkz/Kz5l1jo+kVgwPok0MD4QSDI+3yEuPk07KT4T3Dk+bbMzPsoQLD6gwSQ+4gQkPj0AKD4G61c+xPc7PohGKT4XPiI+d1IhPj7VEz6pxD4+Ll4vPlVpIj6WlCo+24IvPla7Pj7hDTo+9RItPgaAHT7pIy4+ask3PnNART7VAjk+H4hIPgPRPT7+fDI+ybc3Pn+UNz5NJTE+AjEwPudCOT7Vly4+aVAuPsCGLD7xAy0+GOA6PjfbRD7xrUc+LjxJPgkuRj6urC8+Cu8nPmM6LT6qtig+/KQvPrD4MD67KDY+v59FPtSjPj6A0zI+dq5NPvbgTj4YCUo+n+83PtXvKD7r7Ts+A7xAPoUNND6Sjjk+PW40PhfpLz40mCk+5NohPjK+Lz5Evys+fssUPsZHGD5HqTM+2zlWPibYKT4XaCc+2gInPtpbLz7I1CM+vJczPk+SNT5Tezo+FNxCPmYONz5iuR0+gEwkPh1VJD47nyk+YJAiPtyRIj5dvSg+DdYsPnf7Gj7YxiM+5jYmPn/2MD7Vn3c+WdmGPmqQbz4qC24+yeJHPt9+Rz5/cDk+vqMNPoPdKz4hTEY+1atIPnrYOT6q1SQ+OnUaPsp6HT4SCCs+9ggwPnXELj5RVCc+8/UuPiSfNj5UXzk+Gso+PjY9ND67US0+rMY5PtSIND4GwRw+CSkWPlLLGz7UUyg+tZcoPsTiMT7F6jI+2VEoPjHdIj6CzjE+8x43PtLwKD4cNCQ+3zJDPqcyST4yLzU+xl8uPuqtLD67KDQ+mE0uPoJpLj5SW0Q+AaRUPiu9Vz5LwVA+scpAPpBrOz4lACw+760wPgmIPT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/EaisPe/8tD3Vr7w91evDPTdJvT16q7s9/CSyPTzqpj32Wps9lO2VPWltnT0FO6U9UcitPee5oT2+nZA9iZ+IPRpwhD2nkIE9Z/KGPXsFjT06rZo9a46cPV5Blj0GbaM9Z+SaPZipmD1QoaM9zcOdPdtJmz2qS6Q91XGpPc5goD0s+Zs9tqmdPUf6nT02T6k9zYCzPWSJrT3B96s9/L+xPdmQsz1Eyqs9LeWrPeNPsz1AV689kqupPZPMpj1gcqA96raiPZNIjD19TJQ9w7+WPT3YlD0TZ509jLyqPWIIqj3vZKY9ROKfPZyNlT0DcpI9HYKBPesaZz3oFm89gXBoPWTZZj3pi2A98n9NPUs+VD2UaGQ9HPNsPW4fXj35R1s9uW1SPXhGYT2eRWk9wxNUPTVkTT06+Uw957FbPe5Taj1F1Fg9kAxqPaCcgz3ykoI9dvSBPTLZgj3OAoQ92OWFPUdJbD3Fgmo9S4ZxPXdpeD2IR2Y9zGlZPaq9Wz15ulA9fQFOPbBSRD0lVTs9TtA7PQDgTT0abIA9xg2QPRDxez3XwUo9o8FFPXZOVz10h1w9oEFmPVOsdz1j7m89SclrPf6lcT37S3I9kmBrPYVoZj0l50098qBYPb5NWz0CLlE9VC9QPQn6TD3wXFs9RoJEPT9oOj0wQzM9PzI4PXp/Pj15cGY9xRtjPTP8Oz3sjh09xKQdPV3ZIj2e6Cc9p3cjPXloOD3pzRQ9vIkWPTcZHT2XmyA9XqUpPYQ4Fz1+qQ49OFIHPUI4BD229AM9OBz6PHHICD2mKQw90vvvPKim7jxwWfQ8+fzkPP7d6Tzcs+48NuTnPKQb0zxTPtE8f2HVPF5UyTxV3L08ec7APKelxzxlV8o8pE/cPBqU5TyPBeY8BojiPDpJxjxqlco8hlTnPDML7Ty6seQ8XDjrPAxv/Tyg8wg9lTcJPXgoBT0BLg49+5sMPYfr7zy45/Q8jUz8PHjlAD3/7uQ8dafvPF/z7Dw4Muc8ldXiPI323zwLlAQ9JD0JPdXMCT24Oxk9MMQcPShbGj2kggo9AhcEPeEd+zxFv+E8XRLaPEJH7DzUvhk9sMZDPb3bWz0Sh3I9y/RrPfEPWj1C6UY9WX5CPdCTQj0Xsy895csgPSo7Gz1f9Bw9ufUjPa69Oj2Feko9JdxMPT3HXj2Icm890JFgPUiFVT3lQ3M9vwuEPch+gj0BzHQ9iN1dPU8TWz3eYlU99wtxPYdegz3pzZo9BE6JPXZqeT0uIGA9OtNhPeBfZD0F1oI99LWBPXXkhj3I/oo9rSuQPb5Qlj216649poyePVh9iz2SJag9wLW0PbmyrT2+zqE95ESiPf1oqz1mg649DNayPSkXyj25bs09IVu/PfLepT35TKE9Eu+bPSV2lz2KI5c9abyRPR5Agj2+EIY9qxyQPU7FnD2bFp097WWSPTv8kD1uq5w9J9KYPb8slz188qE9pcupPfSDuj0YRLg9fPi5PUdVvT1jPbk9r7SxPachpT2dJ6Q9MNikPc92lz30jJc9/Y+SPU4tiT0yBYs9KoyOPbgVjj3mQoY91g+GPdoqhD2ZjYA9N22FPQJ9jD3GFIU9AfiGPRxQkT2oipQ9wtiMPSlWij0lnZE9gQaQPVzkjz1/i5M9GRGbPYhImD1yppQ9YTCQPR8OkT3OnZM90fadPWPWmD2+uJQ9rtKXPV88lz0G9Zs9XeOtPWbpqD13i6899beuPQhCrz3ck5g9ACCKPYueiT0zEIw9LFeFPSMlgj235oE97ph4PdI2gD3C+oA9GUl9PUmRez0unIg9+FKMParUjD263Yo9CwCSPXsplD338ZI9SZCaPRKuiT3GIoI9/9aCPQiggD2l/ms9OZFzPVypfT0LH3g9XSxzPZjzbj0cPWQ9aadkPcFKbz2F9X09qn6BPUBjhD1jjoY9XQCQPafLkD1+q4k93TSJPb6TjT3eiI49XduVPXXqmD01v4o9SLmDPbbtiT22cYc98T5yPa4OgD2hn4A9X/hzPZ0pcz0idnI9Ewl2PevIjD0X75A9NZKaPZrmlD1i7Yk9WfqJPQdQhT1skXs9vV56PR7Eez0gC349op9+PQZEgz2wuYQ9hRhtPYlPcT2C4Gs9kg9dPeA3Rj3n1kg9IYFRPfLVaD2rgHc9941xPaToaj1MYGs9GwpfPf1tRj0sWj89mBdGPc39Tj3D4GA9t9xgPdl1ST2WsDo9g/o8ParQLz1ZLio9u0NAPWyHUD3QakU9HRRBPfEKMj37AC494BkxPQihOz1HXzU9NjU3PUS2OD3On0M9vklKPVRSRj0M2Sc9cb0aPZVNFT1YuCQ9XP9EPW18Vj20OFU92Eg0PZIWLT1umy09ymwSPfZ4Ez104BI9ZYsUPf5yFz3ItB49hb4hPRMiLD1m2Do9HJY5PRw2Lj0jWzA94sJDPes7VD2SDXQ9dF+MPStDoj3L7dA9tNsrPv/4Kj4mjyc+QMQqPjKwIz591yA+bxUVPnkpHD7qTik+AMomPvOaKj6wWyk+o5ogPqdHMj7dKiU+4vwhPoAjHT7bmiI+X6klPvzIJz4kWR4+6MsgPvwVDT7zpgo+2eUMPgXzDD7QQB8+9y5APpRNPD5qNyE+ai4rPiKuMj6kYDM+ERE7Pl3+Jz6sBS4+aWIsPk1EMD5LaEs+evBlPkcPcz4jtEo+5KM9PjWrSj75WVc+4vBQPuNhLT4rmjI+3tM1PhQLMz5z+DI+dIInPtkKKz6JzR8+H2A1PvlxRD5Fq0Y+pEwXPkYJMT6w5EE+koxOPqSKST5IyCo+nb8jPgxxKj7Q3y4+Z2YuPqG0JT7ecTI+gg4yPgTbHj6guCk+nr4yPhdAMj55Tic+CjsvPh0vOT4ZWjQ+XiQhPgVlGT5L0xE+fyFfPnZuMz7Q5Rw+tMQrPvHSND7L6zw+fHU0PuUuJz61nB8+nLckPlKIKT5qVjY+bF41Pud9RD793Uc+3gs4PujdRT5oSko+jNI9PqpaPz6P+Tw+uc4yPnbiKz5FMCs+7OQuPppxNz5gSTQ+v8FAPnZeSD5H4UU+tHwuPm8hKD6P8SQ+hYwePtLjHz7knh8+ej4qPkf2Qj6LID0+55oxPqRjLj4qrSo+zyYwPvyaPz4tcEE+5Bk1PpzbLT6B6i4+siAzPpyOMD49Ay0+0novPlvsOz5qcSo+3f0uPnmBKz4ZiDQ+z59EPrg7MT7rQiU+QVMvPksRMj4A1C0+lqQbPuQ9Mz7G8jM+MTo3Pl/BOD5LDy8+PkEsPtzcNT6MDDA+PdUoPhMsIj4W/RM+YRIUPoj1Nz5xPCg+6J4hPiXrIj67exk+F19wPjf1dD49dUw+ywhPPsXjPz7aQ0Q+wP48PkBUHT4LjSw+sTA6PnaxPj4Hejo+o/EyPmz+Lz74wiw+eGokPsGjJT6X6kI+d09MPuWwKj6/2EM+58dVPvHwVj7xT0I+Ss5GPoEwQj6N2DU++iU3PtQqPj7e8D4+Lj41Po3hJD6zeSs+SoQrPoDeLT75cDA+NfsvPjt7Jz7//hg+wZgWPh3vLT4PGjQ+hlQ1Phi3KD4X6y0+G8I3PiljPT4oEjw+DHsrPk+KQj7P+WE+f4pWPrI7RD75gC0+0LMsPoKGLz6bazU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1bruD2bQrw9YIK7PX44uj2P7bY9nTSyPdHfnD1lubc9tLS6PShLrj03kLI9wDS3PTQErT1v16M9PyeOPXrfiD297Ig9TJ54PY6MfD3kB5I9aleaPbV9lj3uOZk9w0SWPZdHlj1yW6o9Rk+xPUDpmz0Ir5A9tQ2VPVgfmj0WcpU9/ROYPYe/oT3O76I9QT6xPWwyuT2s6789Ah+7PRr7pz2kVag9fzeyPU2Wrz3KeK89L3OoPfzgoj1M+ps9XGuaPd1hmD3Lx5s9296lPYVlnz3iuJk9ysuYPcuQlD3CVpY9vlaSPYVfgz1uLYU9eRyDPVtCeD07EFY9ddxQPYf4Wj0HWVg9GvxkPfSzdz2XTHk9IE53PThefT1hZGo9CIV3PVYWaj1eQ2A9uEJyPcsTYT14lVs9llNTPav1Vz0l+mc9F2B0PSPkiT0K54I9E9F4PY9Wcz2LsGs9mJViPShFYT1fJ3Y96+VxPc81dz0OcIE9LQeJPUWgeT3tF2A9BpNXPYtuVj1Rn04972BNPbAwYD2W6W09hcl4PdOyej1u52o9Lj5KPSzDRz1jpXA9+hd+PYoPfT0OknQ98L1fPSP8YT0l5m892+JlPaPraT3gFGo9bPdpPWzhZj3U1FU9KXM/PV3NRT2QiE09iStLPXtFRz3Mdzo97OdHPcPnYj2Ksm89eG2APTGEVz3I0iY9fnYHPa5WBD1LUgY9x7gNPVixDz0vBhE95goFPUhLBD2c/wM9bV8OPeG5Gj3FbBE94xEYPWGGHj0VWQY9gwcBPRBdDD2E5iE9TGwRPdw/6zzdY+s8ZHzuPB2r9DwilQQ9u4n2PDhI+DxMhPg8g/nyPHVM3TyHfuw8TQvwPIpJ7TyxsOM8A0fxPOjp+DwUT/w8xjQBPVN98zxxTOA8QVDuPKR27zyuUvQ86zf/PJs5/TzH5v88UNgOPRxoCz2nowM998QHPSaOET1pa/I8TK3gPKhY4zws5fM8oDz+PEuXBj3lUfk8xCX3PAuv8zwDMgM9sgIKPbQ1Bj3/Jxk9z0ciPYHOKD1ncis9VBwkPScuCj2TeOo8tZMQPRI/Ej0CfSI99EE4PRcXXj3cpmw9xgx2PWKTaj2fm1s9t/1DPQgvND1thTA9tn4fPcboJD1PZDA92a8wPaFbOT0aE0U9lvM9PUIsYD0PWHQ9/o+DPRPzcj1Lwmk9hU6EPeYFdT2VNWo98JV8Pe6rfD3Bqnk9ZQ2DPbBFkj193JU9GjuiPR47jz21wnA9yspePfBMYj1fTXs9+z+QPVkclT0Ayo89YyqNPYz5lz2J7r89LE/FPePzkz15hJU9FSeqPTEpsD3ANbA9FnewPTxytz2l1809sHDAPSqqwj0f+Oo9x4zwPder2j3C5609XBStPXklqD1zbpc9PIWdPZkwnj3wX5I94xGPPYOVjz0UXok9aeGJPVhyjD0wmpQ9Y4+cPep3oD2GYq89C1K/PSmavT350rQ9AG2rPVHlqD1+47Q9sPq1PSdUqz3Ebac9Ex64PaYkuT2GXKk9oTmiPcWgmz3iEpM9enyVPVzuiD3gqZE9fEGRPWFNiT0PmoU983WBPXk2cD3YxF49mf9xPcsegj3vE4Y95RaLPV2LjT1UgJE9nMOTPXGHlD3eEJI9ykGNPbBtnD2QPJM9MieMPWUZij3NEYo9BteQPVlDlj2Vspo9Jj+cPZh/oD3qnKg9u+C3PU9msz1Z66o9JheoPRLGmj3px5I9A86PPdakhT2sKIw93s+NPez+ij1ft4w9UI+GPdk/ij08RIk9PbuKPe2biz1dYYc9WqaGPXyDkT31M4g9wk9zPdmxaj2YoHc90pd6PTjniT1LXIM9Rvd6PQPsfj03fYA9BQqAPYzXdT3OSHc9FwxxPQOjYz1zPWQ9ezJkPfonaD1c5IQ9+g+KPcMCij2K9nk9e65zPe73bT0Ux3s9QSWEPaK9iz0lyZM9AeCUPRiQlD2vDIE9YeNsPTh1hD2osos9JbuIPUtWhT2MQYM9ncWCPbmrdT1pR349CVKJPWjFjT3LCI490U6DPQjUiT2QeI09hPaIPY1Hhj2Ey4Q995GGPR9zgD1+64A9KW6GPb6dhT1q2HY91cJ5PZDggD3XQV097+NYPanuVz2s+VQ95ipNPcYTUz3oQmQ9VFptPWjLWT2PuFA98SA7Pf6ZOj0/tUE95rBSPbalYD1bqHA9pr+APUPqVz2M7jc94HQnPXU0KD1lzCk9Bf0tPbWGOT0go0I9wHBNPbksUD3wQEY97elFPVThPD1/KSo9PSArPQKYQj2zBEk9CvxCPUGsOT2D6zw9VxMwPQ3XMj17UjI9hzpDPc2iYj1WWVM9b2YqPcV4IT1+3CM9BHAcPYBIGT2jzRw9GEAkPe+WHz2IICI9CUwkPXeYLj0x2j091Uk5PV3DJz3vlTg91zJAPVpUWT0vV2Q9VE2SPZuLhz3qA109fZBjPVeD1j3WIDY+c4wsPmoMMj5UvB8++Q0bPmIkHD6OHCI+M6AhPvkPET7GfhE+GfQhPnpNIz7vHTE+jRYkPi38IT5CCxw+6hEcPhRSID6DvSU+Gd0dPt5/Ez4wRws+EcIJPiQODj6b/hQ+EBAhPttAPz6xHyg+IL0PPqw5JD5GrTU+j60+PhA9Qj7VxjY+mb4vPv3END68ojM+wzU7Pjo7Yz4Q0ow+V8NVPllFVj7vA4M+7o2LPlZIXD52rTw+7vdsPkRqlD5dkIc+1NhbPtZgXD6ZT1A+m+xdPvxaVj42y10+X6JfPi1HMT4D4yI+BnU7PoNvOz7CMTE+GgImPmUQLj7Gcyk+rEYlPi7cJj4K7iY+xDZIPoNOVD7VIyQ+QI4rPtqILT5/bCY+8zMlPiuUMT7tPi8+EporPp1WGT7xJRI+WdIrPtn7PD6GKi4+kaktPtHNJz4qxyI+UpIiPiM/Kj6sqyY+7ucoPqMRKj7LVR4+eDAaPh9BGz5tnCg+TaIuPqYMND6l5zo+tWE7PtJyOD4vzko+VcRKPrxjPz7h4DU+EtYzPghkMD4LRjI+BiAuPoFjKj4A2zM+YGtNPpW2Rz4tQTA+Uu0nPqL8LT75gSU+NscfPhzKIz43FSs+y60rPhbNND5g0zA+M6scPg7TID500C4++Qw0Pn7eMD4wDDQ+x3krPoOpLz5N4zc+KWs8PqRRPz6Bokw+JAItPpcrKz6luig+HjY+Pi4hOT4IaCw+3YI5Po2tPD4LHTU+ngYoPseiLj7Vkzg+QXYqPjC1MD42uzg+efNCPr7wTD5E8Ts+JyAuPv9HOz6jgy0+sm0oPq04Nz4eVTg+HScxPo1MKj5FAzA+Rcs0PnN5LD55kyk+nn8xPqYXOj42eDs+g+I7Pq4+Rz76AC4+sy0lPoSaKj7qrzQ+VrQpPvSSHz5faBo+4rEoPv8EMD5VaC0+COIiPmD/OT4Yg0o+Y8I5Pt0vPj7AbEs+YVZNPmNhNT6uYUU+MPxYPo2gVT4fu0Y+jZdGPqdlQT6qwkE+tS8+PtMsND7lNDg+Nfg5PnlHLT6juiQ+bPEdPvprIT5x+xc+3loUPhEUEj6XeBY+iQ4bPlm2ST4nnlY+hHA/PqdRMD5ImCo+rDA0PoKhLT7AVDA+Nqo6PrG0Nz57AzM+xpU4PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+RpNs9B8jAPVYNtz0BOL49BLrCPSBntT3Pc6k9eX+6Pb2dyj28/8g9lu3HPTmmvD3ojq09GEWiPa7gjT3ueYc9xQKGPZeMhD3+roI9dpyJPdjOlT2gMpQ9CC6cPYmgrj0EwbU9X/O1PX0Ttz2gvak93iWoPZYOqT2X7ak9WBChPZbzoD1VFqQ9jLmkPSfJpD0dzJ09joqXPVpfrD0+y7g9REO1PcAVtT1bgbw9MKfDPSCCtT2eFak9DGKqPbxFsj37r6w9FBevPduTpD19nJY9uWSKPT8bij0XDIc9LymBPZmzgD39lHI9E6daPcMMRz2GbEc9OyhTPad5YD0Dimg9d5ltPR9fcz28BnA9qH5nPVZSaj21t4M9crZ8PYAHWz067lg9TtJaPVUoXD3JMVI9V2JTPeRGWz3jv2A9DmlrPenAYj2imWY9vNZrPVP0dj1JunE99l5ePcD2YD2PUGw9ZVZlPdMGfz1/fIc97kSJPU4Rij26cXI9tshYPX8XUT2zSls9vqVtPaI4bD2f3lw9uatMPaTxbj3pZH89aFN7PT/nZj1Ar1c9Z11iPWDMWD326Vc9aK5ePZyqWT3VX2c9OmmFPWfChD01MHk9rC5yPbxtez2VMX099tFkPXbHUz2+Mj49udVMPTgNSz0A4GA9BOhdPYP/YT18qXY9+txjPc6RVD2iFDI9kuwOPeiU2DxVVN888w31PEFc+TxBqfo8+0kGPQICCj30XBg9fkwJPUbABD2MIQ49ciIPPc67Ez3AIQs9TVDyPLoh7jxqDwk96gcPPX5yAT2oZ/g8q9sIPeYpCD21q/481AX6PJwaAD0eP/g8ijXqPCRQAz2SMwk9XlMTPSIDCD3CdgE9YwTwPD+oAD32m/08IFcBPakuCD0mrAQ90pr0PCYU0TzKVdo8GLb2PDC9/TxEZvk8z/T8PHyUCz2C8wQ9l8sCPTevAz0PBgY9UQgFPZ4UBD1PVAY9MV0KPd3VEj02wBY9dpIKPYa4FT191Bc9dSsVPaYJGz1hiBY9gCkePc4SLT0Mxjg9hNs2PeX/Hj1mpQ092OcIPZgYJT0a/D09LWpCPdz6Pj3ki0o9STh2PfU4gD1xEmo9ZWhqPX5dXz2eb0g9wsg3PRHGKz0fzCk9RQcrPdEoMj2JVCo9Q1IlPb1qQz0QTYA95UiKPYncgD0zZFU9AaVfPT0Ofz2KVoA96cKAPfrAij0SRII9PsqAPbvNjD1ZhJo9nySfPQEInz2fAYs9r/dwPZRDTD2aiV89w6+NPeShlD2V8ZM9hdGPPSjPlT0zTK09KtbBPUWJwj216aQ9r1WiPdFdoT2WqKA9whG/PQmEyz3ZbNc9BVDVPZZb1j2w7uQ9joXbPW9nyj1vNsc92Qq/PStTuj0EtLc9VM+kPYE9mT15ZJQ9ng2DPQPugj03wJM97UKSPXiQlD2ceJg93SahPd4BqD0QiKI9JSylPVIbuT3DMLU97wOyPeuzqT2tcLM9z6y3PcILuD30Lrs9/RXEPbojvz2t5b09Nc7CPcf8qz2UhqI9MA2XPSp1iD3w64U98M+EPZ91hj2omn49EiNuPQ3obj0wAoY9aQeGPTUKeD2ne349OAqIPSkcjj3RnYk9CkGHPYsChz2OAIM9Es+APRUGiT0XDZA9Z1CCPWifgT2NQYs9e4KUPSLKlT1SF6A9uGGgPRBCmz26X5g9PfCWPaWmoj3Uwp89UBOZPciNkj18/Yk9fuCIPf9yjD2m5Y8980CPPS+Ilz2/2JY9dW2TPQbYlT2tXI89LT6GPcvAfz3zKII9TTF6PVQ/ej0+IHY9h81zPYb/Yj00GWo9NsuAPRQEgz2SIn89iu9tPYSqgD2RP5A9AJCLPbQKiD0kJHA9/yhzPVO2gD0gmIc9gw1/PamUgT1jSIM9DFePPTt+fz3+K249FYBkPaPvbT2QPXI9ltOAPdKohT1+S4I9epdzPWKSgT10uYA9t6RuPSfxdD1+PIU9jN2GPW/Phj12NYc9KTeKPQvtiT00BIQ95bKAPZTriT3Lu4c9X5d9PVWdbT00uYE9L3+JPaiqhj20MYk9NlKIPf5UiD0Z9oE91J52Pa7aeD1Go2097OJmPR1MYD0cKm891HBnPcRVXD2xU2c9S8BwPWOidz01IFM9PctCPfqOQD28Fjs9DXZHPU/dUz1mpFg9fbRVPRw4Wz3QKEo9rhxFPUzROD0P2So92vUjPUORKj32/Cs9OIYpPV5fLj3mVUM9vxpFPSW8Qz1e0EY990E/PeapMT3gvjY90FY5PQ//NT3aDDA9GS8sPXhMKT3BXS89IlY7PTMhWD0deFo9gbRWPcRVWj1O40c9yTQzPeRrIT26IyE9fKsvPYddMj1ClS09gIc5PSb2Nj07HTg9r+g+PfC2Pj2gAzM9loFNPepQaT0KWkA9ZuQyPX2BPj1H6kM9n2hnPXMcoT1NgLA9ouKxPZxo3D1yW/o9RGMmPvcKJT7vGxw+DKQZPv7LDT503Aw+OrgVPl6sJD6E9xs+QJkaPkpvGD42xxw+PzYmPvhLKD5F7SY+AXkhPi8BHz79CiE+cTAlPkHuJD4g8Rs+sD8HPoeRGT6NdRc+R5AUPgv+NT6Tl1Y+d6xCPiF3Tz6ntT8+cfUvPmVQNj5quEw+89ZnPtlVaD7u70k+tgA9Prg1JT4ngjg++INZPnKaST7SW0s+B+VKPtWxKT74Jyg+m3RBPnYeQD5zKU8+ino/PlyxPT4oHlk+aA95PumIcj6UAmw+wpNhPlBSfT75SkU+s1shPkNSKT5vBSc+YCQiPj0TKD7n1S4+R1szPqN8Lz6tjDM+GistPu/sMz769lE+BiE0Pn7KMT6KfjY+zBkzPpjUID45kTw+loUvPhd5Ez7NnCE+JvkzPs5hOD5TLSM+TP0hPha7Kj4sNUA+E/RkPlqTbj4tAE8+fUA1PiGNJT7K8So+iUYtPiHzLD5TYCA+yc4kPhDJJT48yC4+S1A2PtLHQD7vz0M+ZHw6PoP1Mz53Vig+wTciPpqeKj5gSi0+K90yPn/7Lj7jgSk+0vAoPo0RPj51NTw+9BkzPrQrMT7Nvzs+RBkzPqRYKj4+pio+cOcsPuLOLD4O5Co+1Ig2PrNPIz4KICU+fagmPs30HD5HCR8+m84wPgqIRz7rtEU+9+U8Pj4xKT7qbTc+WKlMPoGpRz6UZEg+c543PurUQT6zEEE+ooQpPn9PJT7mPRs+i2IYPlTKIz56rjE+/g86PkQ1PT53vEQ+Y0ZNPrCXVz4hE1g+/FBGPutFQD5AND8+/fs6PhcUOj5ShUI+O0xGPjoYQj5huEU+D+5DPkJWRj5Vxzw+GSw7PoUaOT4/ojg+5wc4Pn7FPj7VMEg+99QtPnH0HD5+8jw+u29KPmTHSD5eNUA+rpA4Puq/LD5hHTU+OVRDPu9mRT7quSw+gHc/PuGmQj4kfU0+cUNFPlHNQD5e1zs+OVtGPqpJOD4sxz8+5TRBPi8RQj7rdEg+54YrPgrAHj7B/hc+YHAXPiqKGD71sB8+3G0pPoprJj4dlB8+Y4IUPm3bFT52oBM+IaIMPp7TGj4tLzc+a+UtPvBqPz6woT8+RxwyPuJkPT4kwi4+QSQjPj5gIz6v7yQ+l2srPh92Lj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/QQfNPYOGpD3plaQ9/8+zPXDKuD1JwbI9CFmlPYFdpD2R4rA92qyuPTYhrD1L6qs9MnSjPTcVoD3uWYY9FspyPY8BhT30H4c9AXKNPRybkD1hA5Y9RS2VPUrWnT0S/qE9s7KsPTuttj0evsU9RGu8PREKrD3QV6Q91Z6bPa7kkT0N9ZY9d1OiPQaMlT2kwo89XF+NPb/PnD1TH7M940jEPbtFvj2stLs9WGW9PYecuD2eEqQ9vTujParzrD1Wxqc9M/6uPV7lpT2OQ5g91SKSPSeOiT0Z5IA9X0OBPQUKgT23YYA9bn9zPVMdcT0Yvmg94W5kPcSHYz3EXXE9IgmBPRv4gT0oDmc9omNePa7CZz0czWw94ElrPVi2fz1GRYE9qX+BPTE2ez3aOGk9zRxvPawGfz2j33s9onJxPas2fD0asXA9YntsPdt8cD270Xs9e1ptPXPNYj0HGGI9kwpdPfggYD1AQHM95mFqPWL7ZT3+TmE9wj1SPf9zWD1V3lM9iZhZPUTzYD2w61w9TJdRPTlfWj0NoGk9t4hsPfXbbj3lc3E993RsPZBLdT0z2ns9WfFtPcVXYD0lZVE96QZXPfjxbj2NJnk9mnp9PWdadD0olW09ynxpPYtyWT2SYlM9eGJbPfV9eT2MLoE9pLdgPfM0Tz2sXl49CPVZPQU5Lj1CsiE9N0YXPTFK/TwtG/88mocJPZqJCD2B0wY9/SAAPWyzCD1Zsgg9etcIPYEjAz0wdO88Ln3yPOhC/zxbvPw8un/vPOQFAD169v88QmoEPTUmBj2a9v48h30EPUHLDT1rBwo9kZwHPawmAD3JjfM8dXfdPPv+AT2hDQU9sw8IPTKZCj332wM9+hP8PJiXAT3zMwk9vS4HPbEfAz1ZWfc88TTqPAcfBT0hIwg99FYIPUWzAT11wvY87Ir+PGv3DT1YNhs9vakQPcTDCj3aZQg912wNPbQ2Hz2Glxc9hlIUPcHaHD1TtSY9U0QWPUKqHj04LD099z8sPVXlHj0eiRM9ZUoSPRFGFj3wyS09TBY/PRoxQD1CVDI9ugsmPTjiRT1tWFM9+pdYPSF1Uj3Ff1A9gf9LPc6vVz0CPV89TA5OPSgPRz10wEs9kXhBPV/VMj0DLCo9SRwsPZbfLD0SBSc90TodPe4ZLz2xdVc9luCBPf8Waj08xVY9b9VqPdaagT3XxoI9XPKCPTk2hD3gDYQ9qzN/PWgvcz0EsIQ9QiaXPUIlmz2eNpo9bVyNPdW9XD0+9lk9ZDODPVfqiz1TkJA9Nd2XPV5nmj2VKKs9VkDAPRbssz1yoaI91aqgPReIoT2ZWKU9QGeyPU/fxj1eEMg9SL/HPWeRzD2xQdo9N1HaPW6BzD2IPtg9/M3WPcVAyj1MM7497B2sPd7ElT1+O4o9xNeFPb3Ngz1xnpI9UY2RPXr5nj1AlbA9Mhy5PSw7tD2LNao9YTCrPW8KtD09bLk9csWzPT1Jvj3C0LQ97sSxPRkJrT2Xgqw9qP2oPVCyqj0YFK09bTK5PYjfuD2kyaU9juClParEoD3fSZU9oquYPYG0lD38BIc9zgyBPb9zfT3CeIc94WGrPQcspj3ZOIg9k7+GPWQOiT1/MIo9J2KLPSZEeD0t+349GJaBPRcehD1uZ389Ld+OPdJilT1RaYs9o/WPPRd7lT0t/p09elClPUNamT1sKZc9QaaSPUi0jz07gZA9qv6WPUB+oD2v9qQ9ZrOiPRG7oj3yyaI9s4+ePbKrnD3NbaM9BqmgPTs9oD0o56E9vvGdPdxEiz0RJIE9DT56PbdweT1TF3s9KRJ/PdcLaT2SYG89yPaHPYtQkj0DMZE9G8mFPQUKhz3XRIY9teuGPeUVgT2rvHo9Ked3PRiwfz3oqH89ftiHPZiRhz09/4c9iUiGPa5AdT3B1W49P7R8Pc9SdD1bSYA9p999PTeagT2Tj4s9RNOSPTlKjz1pQ4g9ZQGHPZIcij1O0449lsCPPQ/+jD2I34c9++GDPZtTiD0ldok9mQaEPdrzdj2eNYE9BkqAPW9HgD1k7IM9dBSMPZ8pkj3ov5I9QXaNPQMlkz37k5c9+2OMPUdpfj20+og9m8qOPUxqhz26yIc9xOWCPbVtYj3rQ1k97EhnPWt1az3GKmA9OgdMPZgYTD3quk49ad1PPQA8UT0TaE09s2NFPaS4UD3uc2U93EdLPUy1Oz356Ck96O4kPeUEKj2i3i89Ob43PaXQPT3UDjk9O7NFPc4RUz3z8WE9QMZbPSkUUz3suVc99w9YPYwJPD02YTs9N7kzPTc+ND0hGDk9tTc9PWo+NT3Lrjg97Ao6PURQKz3oryU9MwUiPVtKID2fVCk9Et8sPX+RMj2n3TU9HrM7Pe5cOD3BFEA9xjdIPYgZRD3BBUk9VldDPQVBRj0OklM9Ik9IPbzIPj16NDc9Lh41PbSdQT3Hb4Y9jdWrPS8EzT335xE+4RwZPqHSIz4WNR0+GX8iPglLFD5HJg4+xIEQPofDHT6X8iM+Vd0bPsuWJT7YRBs+lS4UPpYVFD7+YyU+iA0mPrxfHj5wiRY+yDgYPgjKFz4B9BI+RcsWPiahFD53lRQ+WCUWPjkMFz4M3Dc+n2FHPrZKPT54YUM+XF8yPq2BMz4nfEY+fGBSPrb0KT6iSBc+iD8dPlvnGz7RFSI+c1M2Pt4+ND5TFVE+Q9d8PvAjgD7aUkg+VNckPvreMD4H6SM+oCpAPrv6UD4ApFs+lLROPgpQWj7C/2U+AapePraQUz7ZbYA+KeB5PjGgND5nADw+8ecyPlpGMD4nUzI+NTgrPv94KT4cuDY+KMlBPs8hNz472zA+lkcvPtbNMz4OoDA+u90sPrtZOT5Vyz8+ZvA/PgYzNz6T3Sw+S8MyPhRTKD6ONic+eVoYPlsEGT7B4Ck+JQZAPoaAVz68V2A+HwBNPrlVNz6HtzI+oZwoPndELz6MciI+M2YgPrh5KD40YyM+lvAiPo/5KT5/gCc+9Q4sPqZ2Oz6rPi8+DKcmPmQxJz7zvSU+6UMlPsxbJz6dySs+y8YrPjm6LT4HRi4+3PorPoRKLz7N2T4+NcA2PujyPT5umD4+GoU2Pp56LD6OmCw+324lPvpgNj4R8Dg+gS8rPjTeIT7vfxo+SJUhPm6IIj7xyzE+fbM3PhneND5WPDc+TXM8PsicQD5JUzE++FkpPpPvJj4pvkw+fupJPgwQND4Dvi8+vx4uPiIpJT5AAh8+cRohPpKjPz6nyUY+51E3PvqfPD6+BUc+6yhQPlfQPD7HFDs+lXY6PkWiNz49sjg++So3PigKPj40Czs+otowPjDKIz50kyA+gJg2Pqd/MD61fkA+TXM8PikhNz5hUTE+GK1DPoClMz7hjS0+12ZWPjphRT5JATQ+JPAvPvitNT5E+jA+yF0wPku0MT577TA+KHA1PrdEMz66yjw+2dBMPh9UNj6HISk+5k8oPjewOT798Tw+m7pGPm0GST6AqEA+ods3Pri5Lz7MmCc+SjggPj63Dj6d/SE+sB4pPrltNT6gozM+FHkkPgQIDT6lbB8+HF0iPl3dKj4rZTs+vDVNPvSFPj62n0k+v8I/PhJUIj4aNEg+pWpIPpMHIz56IxQ+jM8XPi7kID5aoB4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4vzrD0g3KE9kNqhPVjbpj37CLQ9RYK5PRJ2rj3sC6Y94eSbPYKpjz3bGZY9x32cPZ5jmj0qN409k3Z3Pc8jgT2w54k9n1yIPRU3iT2164c9H7uOPUu2iT2GN4091tOWPRqCnj2Te7Y94My5PUbAqT3F6qs9WgSdPXgfmj0nvZU9X1CZPXBinz2AEZQ9uX2WPad4mT0dAak942y7PTdvwT1qCMI98qrEPYe0wT3lbbY9WqumPQ5HoD2VvJ09hkSLPd0Piz3T/YU9GGCNPWIYoz1Tw5A9vp+APd8yfD0Ro3c9JCJzPdyFdD3NC2Y9MCN5PfWDfT1AtH09fU59PRyGgT3G04c98Ip7PVoOcz3eGXA9/MB6Padphj1OfoE9kAGDPQFufD1kM3g9NHVzPUy3fT1hSoU9zCCWPctDjj0LwYQ9XH+CPXnYfj3nSGU9O0FjPSQiaT2N7XA99PlsPapIYD21Z4E91HJ5PTyrUj0EzkY993RHPQieTj1/oFs9O31dPcGmYT3hLWY9/z5vPUYJXT0b5FA94+1QPSkcVz1cdWA994lkPWRXgD37oH49T+d0PT4baz2V1GE9kH1gPdx0az2mP309KTGCPabEcj1WTHI9eRFzPSiQcT3J5lY9d+VkPRTKfD152HM9PL5tPSB7Yz3TAEg9EfY4Pbz1Kj14TB09r8QlPZ4WKz3bWCQ9xkERPUVbBD0sOgM9s9QSPWbKFT3V/xo9Mg4TPdBQDj1+uRA94lgBPa4QAz2+vg09jQAFPW0x+TzfKwA9wQEKPbcbDz0PaQo9FssEPXvABj1xbf48tBkRPfr2Cz30mAs9RhACPYtw8jxvSf0804X6PGAh+Dz73fk82oj9PO8K/TxMDhA9Z0kYPRykDj108g09s+kGPQdF9jzXiN084BoVPdFOKD2JGhU9oZ0EPSZMCj2BcRk9O8EIPV0jCT1lWQ89NGgdPbcxIT3M0B89thQUPVBcFz1dZCA9JD8dPRa9Cj3CqBE9Zz8iPfTyID3Fjhw9W6wTPTo1Cz0IQyA9H94tPZH0Nj2U0zU9LEQ1PVSfMT1BOUU9fNlXPR1fZz0LVnE9yfp0PX1SZD1bIVM9fspYPUqfSD3DXjw9RvY3PS4ZKz3Hri49pRsrPe6eMD2CXC89JnEnPYRkIT27WDc9QSpkPcxVeD19NGE9rSNbPct8Yz2tK289D2xyPQCPeT1RVoY9qxCKPbZfiT3TQoE9+32MPaU+kT3nwYg9r3hkPS5LWD2BbVY9N6pvPZ0jhj3RuYk9J5OFPUl1hz3tPZc9PWiuPbXswT2VXLY93lShPeVFoj0KrLM93hHPPcGw0z2FK8w9bAfPPbiKyD20O8E9VdvAPc/txz1WG78989y5PQO0xz0Aeck9lDvCPb03sD08spM9B8+JPRZKiD1rxI89XbeZPWPclz2M+Z89cJKrPdaTtD21zLY9fW+1Pe2Zqz01Dr09DJO2PbqmrT23GK89iW6wPStkvD1esr4920OwPW3xtT3SvLY9yk+pPYqHpz341aw9u0ujPSDJkz3KRI89I0GVPTVVoj1W8aA9dZmYPZ1clD3Q1JQ9ViKTPYWEoT0Wh509LDCMPb+ShD2vDoI9xq6GPV4Oiz3w/oI9dsSGPWMCjT3D7pE9bzaPPekPjz0lAog9PvmCPXtKhz0Pn4o92tqLPcI3hD0AG4c9IweMPfj5jD1WsYk9TbqIPfOKlz2Bi6g9OhazPUyksj3SeJ89ZHOZPQWZlj1UnJM9iDCMPZr/jD1PsIo9IFyKPYh+gD0xxnI9YuxwPfh4cT2dMng9WK5/PRlofz2/mHE9A2t/PUq5ij1w0Ic9ZaSHPR7qhz2NWoo9lIaIPf5vgz3/M4o9a++LPfdCiz0UPYw9Bk+OPb8Aij0WooM92hF4PUJmgT1xRYc9W8WFPQ/FfD1zV4A92FyOPc2RmT0WXJk9O7SPPbRyhj0Li4s92aaMPbcTij2gdos9RZOLPfUGiz0pC4c9TxqCPUZ1hz1YGYo9yrCJPYwOhD2Y4JY9H72NPe7Zfj06wns9wGyBPWsIkT1HKJY9eSaTPWgwkD3Qjow9KiCVPdBnlT29N4Q9LaiNPTaEkz3wY4k9B0mAPTS+dT08l2c9Ci9iPacpWj3fgVo96p5hPbxzUz12tjw969Y+PW9tPz3avjM9gNQ6PcSWPz0OwlI97ptoPW8QWD0PEk89GMpJPckjPj1qFEU9PZhHPWO2TT3JqU89LsFLPbfCYD0YRmU98kVePY5PVT1Eg089ClNOPYB1RD2hZTA9YyUxPeXtMD0hGS89fcMuPV/mOj0Z9jo9cCM4PfcoMz1EaBw9NDgaPY7FIz2ntiw99O81Pb8rOz3zQDU98ussPbPFLT1vDDQ9vr1APZC9Pz0hujU9vZo1PWjHNj2ifD89CypIPaNqRT3tA0k9jxJOPeKUUD2zqmE9cfSBPUyyhz2KSJ89/mEGPhL/HD4jZDU+RmYtPrbvJT6a0Bc+HMQOPq8sCz7MLRI+TFsePm7yJD6viCg+hMMgPg2NEz505BM++fYYPibKGD6uuRk+91YWPhFrET5JIRM+oSsRPgRzDz6YUhY+Yb4ZPpYPHz67chs+chIUPpc6JT69rzg+Wu5CPkRNMD5VyDM+p6c4Pp+qLz6JUCI+JowVPkhNHD6r5Sw+IjNFPhVyfD4AoFk+orI1PgCYOj6OSjw+P7UtPrdgIz4TVCA+aEYbPqwuMj41HDo+hRxBPhM6ST6J0VY+aiJMPk8tRD6U4Ds+kXs9Ppc7Oj6W/yo+oyk5Pv/QJz4/u0Q+NVdXPioaQT70GCs++KYxPoTiTD5GmFA+tfpMPsrVNz7tdUo+bnJIPj4ZLT6ZmCQ+tIAmPmPuKz7E/TY+LzcxPn1nLj5/qB0+YmkXPkyTJD7+Ax8+tAIgPiUPMT6AYCY+D+MiPvhpJj7UMzQ+r8E7PsCGOT4eBjU+NcIsPrAtLj4CODU+UvoyPhoKLT4qWS0+EBo9Pu64PD421jQ+EN0uPsbjKD5qgjI+ajYtPq9ZKT7jRyY+/f0iPoapGj5oayc+xCs2PmhuLz4OJzA+UMk8Phv1Sj43iEQ+cTUmPtpKIj5XXSI+cSIgPiD2HD5e/iQ+EDgvPmvbNz7NATQ+J5QkPq0xID7tRyA+5iAqPiVkJD6f9x8+W1YaPqv5MD6gXjY+/IxDPkgSUD5WDDs+E5Q6PgLYSz5R/js+HzApPkGkIT6f4yA+wHgpPsCdJj7P5So+Mw08PtLCOj5ClDs+L849PjnuNz5WcTY+vlswPornLz7boyw+HVk1PpO0ND6MBy0+d6kuPuk+Jz7OPh4+eEMbPu21PD5WdB8+hiwqPp90LT4GATQ+o7A2Pi5nKj4fPzc+u3w+Pu70Rj5H0EQ+oKpBPrwWMj5FDzc+0swhPh6qHj4wOCE+rDIiPjgBLD6ztjE+srgzPtZMJD7uDSY+u/MqPgJYJz6s6CM+iZYmPlP7KT6N3jA+yj8qPhvhJz6mByU+yIwsPhHkJD7XMCU+GXEuPmrgLD6vsyc+ARgxPhA8Pz705TQ+VW4ePj9CIz6ONzg+jYY8PkqmTz6P8zM+juYfPggVHj6wNyg+68BDPvFcKD5/ng4+eBETPrCfAT6nMwo+KCwWPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0rdqz375Z09Cm+RPQKNlT1Ewpw9+V+kPRTnpT2VTJ49MXaYPceEiT3aIoE9vM6BPePEgz0P84I9ZziBPe/1kT1VsZk9X1mRPZoDlj3VdJc9F2SYPeZIlD1D8449+FiKPX5qjz2WVpQ9MCOmPfFcpD1X85o9c8aXPQWQlj2yT4w9F5COPRAHlj29v5o9GDyePTA4pD3COLY9SiDAPeHNvT28trY9rymmPXrslT0S25M9HC6UPaZzkz3uIJI9B9qMPRQWkj2Pgpc9muKVPRrBlD3Aroo9C9R4PepyfD1X7nk9hhh+PbljgD2a94A9tsaEPVJ7ej1FN3s9BouBPfBPhD2e4oA9yWGBPal7dD0uR3E9Jl6CPezdiD18mos95KqQPXSmiD3ZzYI9TqiAPbgciD1PiIo9XVuGPcCJiz0O0YA9CmNxPRszgj3EHYo9DjdpPVvDZj0GRmc9jDNkPVTxXz2EtFU9S0RfPU5uVT3jVkc9ldlEPQwdRj0okk49dpxmPZmFaz2d+Fg9T8NdPddwYz0zclQ9s+ZKPQOjYz07bXM9wsFqPbRzZj01UV09PjBkPUIjYD3VZWE9owJsPQxIcT24vH89ne6BPRanhj0L3Hk9LmFkPU22Zz2lm3E96X+APcnaiD2je3k9jnVZPRu2RT2W50I9sUo7PYl2Pz32S0I9/3E0PVeNRT2RaUA9Xw43PcjuIT1HSww9rg0PPbkxFz1mEhY9ct4NPYkqBD2D6Ac97QYJPZTtCj2LSA49N2oGPQg8Az3i2xs9NlYfPR1xIz3jZR89Q/gdPdOqFT1TshU9UJQAPSVlCT3lggo9c+8IPRjpAj1NIQI9kfgNPR9IBD35Jg09B/oKPTwjBT2n4wc9PaQOPejgFT38+gg9Nb4LPVpjBj2VcwI90u0GPX9nCT2+ewY9JiP6PGx7CD11iiM9QiIkPeyMFz2aRSI9CIsdPZUmIj1t9S49lE8sPeT2Hj2ikR4938AiPT3DGj3cmhM9ch8ZPVZOHj3R9iM9TpcjPbchJT37myk9S9QrPcGUND3r60c92uNCPd3WMz2RvzE9JBA/PTU1Tz3MjWo9NQZvPR3LZT0FMEk9VQBAPYuTQz1A6D49fpM6Pc2kOD3Zlyk9HcsoPSjeLT35uTA9YR4zPTRfMz1E8TU9TQdQPcefZT3nDl09uJ5ZPf77aD3B1Ws9DBJkPWcwYD0tT3Q9N2+CPZm5hj3UIog9fnONPVXChz0KHoI9aZeIPRlncD0UUm09zuVxPQpkbD0mXno94414PVzGiz1AWpM9L2edPSghnz0robM91xK1PTlMrj2Gbqc9QLG0PRFbyz1FXc49YT3bPRqI1D1ToMw97yrLPaqnwD1Bvrs9fZi5PQY8uT3HzrU97kmxPeQrrT1zeqc9QVGbPTWElz2e1og9vWyKPYODkz1UGJ49XrikPdZzuD1m3r49zOG/PRWxxD2BoMM9K3S9PYyWtD1BW7g9IaW/PdXFuT2eILM9XY/APbaHtz1wH7k9EEi6PWODrj1U8qc90myfPZoToj2z2JU9bamJPX7Lkj1Tk5g9mhGbPaCnnD3155g9CJqWPS2HoT3DUKY99WeSPctqiD1HEYk9V8qBPWUIgT27ZIc9AyaHPUuoiz1FFJQ9oBCMPQKcjD3VpYo9r7aDPY7cgj2yIoU9sKaHPb01hj0u34Q9VWOYPd1clz2YXZo9PjaePaWhnj3Z5Ko9hkavPcYlwT0I66s9LECTPcx/lD3n2I49iBCGPYVkhT3kDn89NU9nPdLxYT2K/GQ9HzZ9PQYuhT1794A9c6mMPaLKjT12poo9yEx4PQFhdD2IB4A9lKmIPf/giD2jPYk93ZSLPVT8jD2yMos9Hv6KPdd8jT3Tz4w9Br6LPbLhhj1emH89G8CLPdwPkT3X8KI9rAikPezHmj0gK4U9RluAPW5AlT3c2qA9g+OdPdXVjz13Q4Y9QvyDPSUJhT0X4IM9WIeCPTvHgD1uKXo9Ji+KPfRHjD1ia4g9adWHPXgpiT16mYw9o3GZPWSIlj3J8o09EzCQPZYLlT2MHpM9G/GYPW/HlT2KRZg9a82cPRyRkj0YaIU9cFmBPcwdgj2KrIQ9WFd6PZMibD35pWQ91rlhPWCCTj1Cu0g9/GpKPbfeTj3IX1A9sOc6PaDKRD1Is0s9+uRQPRrUXT36iGI9zMJiPThoaD0VN2Q98lhbPXGwWT2zdkI9AQRZPWqNcT3Jd3U9c2Z5PQl8fj2lgmY9sg45PRNYPD3D2Dg9TK0zPXUVNz0jmTY9VF82PXoDPD3vkEM9tu87PSSsMT0x0jQ9KfZBPVr7Tj27MEY9byc0PeLCMj1GxTM9oZE4PTQBOD0FMzU96dotPV6EKz0opy09tb07PSavQj0TNkI93sZKPULLSj3qE0s9vGlOPcigTj0kt009cTtOPU93QT19rUE9cF1KPeXqWz1cglk9RziiPb8dLT7Sckc+cD8+PsKkND4EsCY+QU4cPlIKDT5J+w8+mxcTPqXIGj5d+Ro+/ZIdPmE4IT77Xx0+SCMdPrcWHT56ZiM+UJ0ZPqkfEz7Euh4+iYogPh3yJT55lCU+Hz8ePijMFT5t2uA9y3yAPQscDz04SY49ovQrPhxnNj6GKig+F+4pPsrMKz6OdSc+A9MfPlajED74vxU+aPccPoY/Mz4uaiw+fEchPi9HJz6NPyw+uHwmPiVCID6+ah4+psQePvnYHT4HxR8+YesiPpQGIz7wh00+krw8Pn77KT4TMSI+UnYrPjWuMz4uvzk+XMdEPsWAUD4yEjc+bLdHPkt1Vz6SJTU+Jk4TPkROHz5OsDs+hhFCPnbaQj6Q3Tg+Q+w0Pk/jMj4JbyE+clwzPq0dQD7IT0E+wzYvPrMhKj4DZy8+xLk5PqkqPT47Mjs+tfgsPtE5Lz4IqDo+rYEdPkzPJz7onS0+1fA5PqQZPT5lvjg+QxIpPhCqMT6zmDI+P+4tPsNYLz52PzA+0D8wPghYNj7eoDY+B742PotULD7ZwSc+kfZHPnWkQz7D7Dw+nMQ+Pl7tMz4nex8+JHYlPtYVQD7GlTw+02g5PpYZPD6SFEQ+thlFPnrHQT4CvTc+GtIwPkakKD74ajc+h9I8PolKMD5AETE+dZguPpi2KD4HEiw+4lYWPgi/Hz7TTCY+DXwoPl3ALz6eT0U+FE9CPgL5OT77vj4+mIE1PvL/MD4W/Cs+qIUiPhGjET5OUiY+AQslPgbHLT7iwi4+jsMkPjmkPD4RjS4+Dp0rPnkFMD6uuTY+D0JAPis9RT4FXz8+cEc+PrdpPz7wSUU+IF4uPsO2Kz49eyc+s1gyPlZbPT7wYTo+oXMYPiGaFD7yTik+9V81PuPGOT7mQj8+M7E6PnqmQz7Eck4+H6VEPqzHOz4rrSE+l5QlPlOnID4oUSE+ba0jPkhuLj6zkDU+dLYwPvHzMj5O3zM+P6UxPpi8NT6MZDU+2CYxPkLAMz4MZzY+kfk8Pl9lOT7ZzTU+wG0nPhymJj7WsCY+FOYwPqpQMz4snjA+ivYmPsz6KT74SDQ+vEAmPlgZCz5Q2RU+5X0xPtDpKz4rzTQ+TJ1LPvQ8MT6reTA+tbE2PjtQMz4wxRQ+C0wHPrwtDz7BQAQ+KkALPjYhFT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+NYaA9haWjPYWOlj1OCpI9pUCZPXBZnz3W8qc9WeWnPdPDmz1ov5o982mLPTomiz3LfI49F4qOPd9yjj1jjqI9Xj+sPasVkD3c24k9mnqYPSzSmj3Ul5A9qLKHPX/1kj1CgZ49zbyaPSSYmz1y9pg9zxGTPWm8hz2Iu389ZEaAPaH2hT27CJo9Vy2lPTiuqD38eL09byCzPXH5sT3NRLA9VzypPabIjD2H+YQ95LyDPSc0fz2Qx4A9UVeSPePwoD1JjKE9ZE6OPU7mhD0HK4k9kq2KPQuFiT0mo489yXyKPRfUjz0+7I89lFWFPUpzdD2SIno9iY57PVlRfD0QrX09TVOAPWNZhj07TYE9RYCCPTg2dD1T3XU96piFPf3cjT1vsog96bmIPa62kz2sZZc9mj+RPSbiiD0JUYY9+JSCPV4Xcj3vBGg9UlpdPaVHYD01C1g9hupZPRXAWz1cJWY9QiVmPVhmXz1kJFc9ARhlPf6EeD2pDYE93ix0PY+2WT2oGVk9PR1dPce/YT0P1X09C0ZmPX+MhD2nxoA94iRuPQE4dT1cYoI9EmWEPWlohD2VoWc91WZlPV0CgD3NzoU9NOqGPaoqiT1uPXw9Y5x0PSoTbT33NWY9VpdmPTZ7cD1Uv2I9l8RVPYCPUD0W/0k9yoY/PbUpQD2/Tjk9ppEuPRqaJz0rqy89Q/gSPaqvET3bMhI9GQwaPYRvFD1k9gQ9wQUFPYDTAz39APk8FYruPJKH+zzCcwM9XqMKPT+OBz1CEQc9hQYYPWiSLz10bR09gCIKPaiIDT2+8hA9jj4MPfAnCj3IIQ89Nu0NPRLdET2uWhI9VucQPTTJBD38uhM9+DAJPYRk+Tzu8QA9MoEGPUdYFT2TEA89nD8cPWClJT3PrCA9WmYUPegQFD2oJyM9Zh8MPfDG+jwj8Qo9wjkgPcW0FD17rhA9y5MZPVZ8IT0GCSY9p1MvPbJlJz3zviM9r1EuPetFNj1frTc96kEqPV6bIz2L+yA9BochPUdePD0iD0k91ZlUPUmaOz1j0SA9Dm4sPYr2PD23uDw9TugxPVKjND0bNkA9gXxDPRC2WD0bDmY9iHFbPTqkQz1IW0E9gktRPQIxSD0RiTo97EYuPcdOMD3W5TQ99ng3PUmlND2RUEk9yR9PPS+rUj1PfEw9wFZQPSu/XT1c/289tv1wPQd3Zj24o109oRtoPcL8eT0oNoc9CBGJPdpGij0fBYk9H8+NPYwrkD0cZIs9ntWCPbiWfD1/8mo9NYJlPaVJcz2VX4k9wTycPX1Tnj1Q0Z09QU6dPaHupD3MFa899n2uPXuzsD1QG7U9jse6PW5WwD20Ero9u1G9PVvHuj32e7U9sOy1PXAtuj2z17c9RJm1PQtTsT3fkrA9VT2pPZoErD0ajZs9WIyLPQ0piD0XO449xOyTPXCLpT3aOa89wHa3PWGIvz3mbb09oUS2PUoNtz2MfLY9iES8PYm2wz0ee7w9LUjAPXpnzD0yx8A9Ryq3PajEuj3lzrY9tM+vPdLKrj00YKI9ey+kPVphoD0+qqU9q5qlPXRsnD3c9ZY97fSXPersmj0eRZw9yKqcPW9Xjj1OCYs94TKHPQVEgD1mTIE9+5qHPZb4kT3OApg9aOKXPVVNlD09uZM9KkGPPSG1hz1Zq4s9vdiZPfmCnj2qD5Q9uimSPdJSmz3idZE9KkSWPTStpT1hlag9bf+oPT63qj3UYqc9U7qhPfDVkz2LSZQ9ITiRPTQdjT2OaYU9S6p3PbmSeD2LMIA9m+eAPW9ogz3KK4c9NbuKPUoLij2ZZIA9uwJ0PX0lcD2N13o9bmCBPSkKiz3wa449peOWPR90nD3e2qE9rSSbPbcrnD3zm5w9+cabPcb+lT0ftIc9RGKEPeZolz0KFJw9dVSePYk4nT14WJ0925edPdyXnD1hVJo98qaaPUSIlz3Apow9dseDPWWUgz1Nv3w9aS5wPX5Sbz3IPX09R+iEPd+Jiz1vcJo9Zl+WPXXDjD2tt4g9NLeCPYFxgT1Zjog9ih6HPbtygz36r4I9Rk57PfiVgT0dLII9YgF/PRd7bz2+pGk9cOxqPb7KXT0Q6GQ9OtF0PROicD1hM2Y9kEhgPR7ZWT1o5lw9ZDFpPfUtcz2PfHc9Ig17PRjaYT2NZWw9v+14PYDJgT1vpYQ9qod3PeioWT3lQls98SljPQbMWz0LSFg9LkxbPau3bT1hAGY9FVlfPcSDUz09wlI9RiA7PaC9Kz28xTo9Wto1PQEwLD18tzU95gE5PTZjQj2vlE49M7RIPVbKPD3nrzA9Op4vPQzaPD34z0w9lyc+PWa1Lj16PSA98MMfPSBXLT0Z8jo9B+I5PfCkLj1y4CU97SglPeQdLT3+2UQ94/9PPYacTj1bcD49dCFNPYDqXT2xNWA9KrhWPf5wST3bnD09qKEvPV3nOD1dSFo9xAmcPY4qFz79hVs+i5YuPveTKD69LB0+JtcXPgjDEz6EpBE+HYkWPhoZFz5Keho+kmwlPpMQMj7k0io+KMUlPgizHD4uShs+9iYuPtLSKT6s/yE+uLooPiJbHj4GiB8+31EkPoaNIT6Ewe89StJmPQdzkTyV6mw8kOgePRVUGz7hEB0+N+cmPiktJz5DiyU+biEjPsfUJT4FwBs+DucpPmM7OT46MDM+X5EiPgNJIT75/SI+18koPl0YJD6N4iE+C78gPtLMIT6+UR0+QIQePkhkHT5qSBs+TCAuPrpOMj7X50E+WpI6PoPPOz5AekU+D1BgPsmnVT4T7WY+ikZhPvDbUT7Qak4+8kAhPhepDz5tHyA+8tQ1PrxZSz6av1I+0wxLPpkkLj7CVys+2IA1Po6QQD6LFis+tfslPhiZJz4qhTM+mAE3PjD2MD6bbkQ+Y4REPh1XMT6B9D0+HHk7PhhgMz6ikjQ+G/YzPrdyMD7FHC8+hU0wPlwWKj7+8ic++hwiPv57Jz6zCDM+gIM1PtfHMj6OETE+Zl4nPs3DJT4pWSE+po47Puj7Yj58z04+v4VWPrP3TT6jWDs+ke0sPrNqID48kx0+4xoSPvGhHD42kUw+f5lRPseQTz6pIkg+eVk2Pur4MD47syw+G84nPndGHj6rMCk+MX8xPrigKT5IcT8+zilQPvfcTj7gAi4+7RwePmv/KD6ITi4+XAkiPmFMMD6rpzw+GA09PoN5MD5AIy4+jKMwPuLHLz536iU+krEwPnOwMj7bITg+tdpEPvp5Mj7xzC4+1uUwPqE0Mz5ttDY+yCIvPuvwMj5Mozo+HXw1PuhgNT7wkDE+Mfk6PjP6KT7bkTM+Mak3PnnDNj70ejU+Op9BPjIKMT59GSs+ZhojPrS6KT4zBDY+chNYPprqUT4MyEw+zA1SPl8TOT4ZoiY+TrgePpoDJT47hyg+9CIqPgG+MT5GwjM+hEMyPnMsKD7GDig+ef41Pic7Nz6EFDw+vKA9Pk6dOT5hZyU+SncvPiJdQz5g0Dw+rXQ2Pj8xHD7LCRQ+9O4KPnhqBD6VkiU++vcwPgnIRD5lR00+tbQ6PhVrKj79/DY+z8BXPjHFSz7HQi8+smZAPk4CUD5RAD8+zKgYPqbAFj5jPxU+1WcVPkO1Ej7rGA8+iAcBPjPOAT6r5gI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Sc6IPWpAgj0jg4o9NeuOPQtljT2A0I49VYObPXuEmT3cPpY9MjCOPfzsmj0QYJs94LSRPY5TmD05g5s9ux2jPfJ2oD1uYZc9AhKKPVqOlj33sZc9yVeWPQntjD2gI4o9k/iRPVUplT23jp09zBmSPQBCiT3S45U9JzedPVYRkT1C5JI9xIWePXFNoT0LU6k9D+WaPbpihD3c6oU9A22FPQuUkz0Zv6I9AE+SPX6/jj2hmYc9CYyKPZdNkD3rH449WUqRPbSFhT0V8IM9aUqJPTbDkz2VAJo9I3yNPcCRkj0e84g9pv92PYCgXz0BLnE9onB5PYMHij25OYg9r+qEPawsjj08A5Q9xDCHPXIahT19GYA9Z5V9PSzojz0ZVoI9b3BhPWcsaT3P1X492ruCPU44gD2vP4A9X8B2PayOZz1XKlQ9fD9OPfA5Uz2S3V09+qtbPRk2bT2VN3A950RnPWenZD2aCm096TiCPYIvgj1g73I9C3NxPUkucj21K2Y9HJFmPWRzZT3qXGs9s8x+PTsZgj0mTYM9i/6EPYgHez2kFm89TTZ8PcOQgD2wdYA9XHdzPUFhYj2DfXQ940x7PSBqfj24aX89GwB7PfoBdz0gYHc94dBkPbzNRj21kEE9R8suPTRWMD2+oCU9RxEgPXCAID33oh095HscPY8QLj0T2DY95Ck0PQzeMD1UBCc9tKoYPUyOGz3uuCI9cWcbPXvw+zxZ1f48Zw8IPb54ET1SPw095O0KPVH2DT2BnxA9PwoVPU7vID0wSiA9vLwLPUlnAz020BA92KALPYsmCz1OPxM978cXPTB5Ez13bgY9WH0LPbDNDj3RYhA9Tt8RPSoNDj1frRE9DW4SPcSfFz1orw097vkUPUhIHj0TVCI99fwiPSJxJT07ox09btwXPUhBDz2WLhE9vGsXPWFbHD1sdRg9jFsVPcz6Hz2a1iU9hX0jPXP2Ez3C7xQ95ukcPdoRND3WYEA9IfVBPVtBLz2VPCE9ZHowPX7HPz3KrE49lPdGPSplRD2KnDY91MQrPSAoOj3HQC49m8Q4PTJsPj2keEU998ZGPVWrQD30bEM9hZo9PT8iPD21REg96C5EPfBdRz3NsEY96YJFPXR+RD2HREA9cv9CPSbBQz1iakI9ho08PRoeOT1VTj098KpDPQ96Tj3U7mM9pXiAPXfYgD02H3A9rWNnPdD9ZD1KPm89XZV8PfEihT0lKog9+YuPPbollz2nIpA9XraCPaCUkz3cBZg9HOihPd92lD0eSoQ9DJt5PauyhD27SYg9P5qRPUn9lT0IUaE9uQGjPRR+qj16c649yJaxPc8Stj0Z3LQ9VAC1PXHYuz2kWMg9a7nJPU1kyT0tOMk9yizEPZLJwT3aF7U9PGiyPaWOqj366pg998mZPV2njD0LBYY9TmKGPYKPkD0t6Kw9lp3GPf2ovD35hrA99kanPWHAoj3MHak9bzO4PYgAuj2DOr49hLK8PairtT38Tbw9UZbAPacguz1hbL89uvTBPZ6Qvz1ohKw9E0WePf6Isz0LQLI9CYKoPYAWqD3Qla09vu62PbeErz2UDKQ9N6CePa5apD0U5pc9YF6XPax3mT1KqZc954uRPbbslj38wZo9Xq+UParBlD3aJ4k9Ell/PSnCfT2RcoQ91AmHPQqhlD03/pQ9K5SPPVHPjj3gA5A96CaUPfIdoD2mTLE900u4Pe+5uD2EWrY9s+mxPXkfoD0c6pA9xL2PPa32iz3944M9/giBPbqDiD3tGYY9OBeOPVd2kD1/6ow9ug2EPfEAhD2B03I9TeJsPcAkfT0wpH89zimFPYTJjj0KY5U9GVCRPZNNlD2gZJY9P9iYPR4dnT0XUKQ9L7KdPe+fjj0ctY49i1SLPXqljz2vaKc9fW2lPRLklj2EpZ89WW6mPaQ7nT2/C449XgOLPcb4gT0ba3c9mKt7Pf3peT0SeYM9MiiBPQmVgz1k7II98PeLPURUkj3WDoU9K79xPSzKcj0XwoE9b1iAPSnCgj16wII9M6V4PdsQcT2hL2c9UKVmPdZJdj1TcIE9GF5+PZokWz1hDU89ZcBTPXWgVD2bNUs9G4RYPYfyZT1xEWY9DfxjPTeaZT0QQWc9Vs1mPZx5aj1cSmQ982lkPfsuaz1yq3E9zUpzPYc2dj3AUIc9Q2+DPfgGcj3tK3E9DGFhPeZNXz1EyVs9rB9vPU+ccz1S81k9chNQPWiCTz3fqEg9cCNHPWo7Rz3nLD89vqo1PSGQPz0ddU49GqBWPSIBWD3/rk09h94/PZyUOT12iUE9g51CPSKePz204y09VuolPbHpKz1qVyo9LJYqPUOTLD2sCDs9wl9OPbIgSD1GZjs9Ha48Pc5URj1pSUg9Il1JPTH5Qz3z6zw9HVQ1PQrINj2QJTw93PBDPZbUQT1c20Q95400PYJeMD3O90I9fzKBPT9S5j2BikQ+chJVPjzuIj4aQCM+nvkgPt3BGz6JzxY+7cMUPmnUFz5E+hc+WgATPjiqGD5afCQ+H0kYPmTyHT65iiI+iY8bPmamIz7q7S0+oG4gPvmBHT5Arh0+1wQjPsiBGz5LRAw+pFqlPfe3qDxMomU8u4dtPOK+zzyvo/Y99D8nPgquIj5sWiM+zxElPguZJD764Bw+biQXPtyoGD61Zxs+8q8ePokyIz5nxCQ+tO8iPrLHJT7eMUk+Pp9ZPtKyRj6JmCk+LP0gPh4oJT4Ajx4+LOoaPv2EGz7xYW8+mW5HPghtOj7opz8+j8tAPm1qNj5I8xk+COJMPusgbj5+FXo+SdaFPv3DhT4m7mk+r8dUPtO1Qz7gWj4+AXk+PsTMOz5XrSU+DmMmPo2lNT4d2D0+WqY3PtBHNj5zNTc+tA07PtSXNT6xwC8+8jpJPt3uSj6XHzQ+U94sPpPiOT6P2jY+1XQqPuQ3MT4pSDM+hCwzPqt9KT4bMS0+5Eo3Pn+VLj5YYTE+GV09PkBwPj6pnjc+B9gxPuA8Kz6rHTA+1XwxPpxoNT4ix0Y+UJ83Pv3jSD4I90E+/08tPgfyIT7GPSE+qPUvPrhJMj6TlC8+LRQ4PuZOQz4+eEE+hOVBPuhLQT7bLkg+tq5MPsfiOT7KcSI+PU4fPq/rLj5Y4TU+mEs8PiXiOD5SmC4+gXYoPg4PKD63CDE+iEMxPjfPKT5Snig+LqkoPre4QD75W0c+mIEuPmFNIT6zYyg+/vwyPt7zLD5qDSw+MpEuPlZvQT6fsjs+HyEmPu9VLT6bkzc+MhM3PqBPLD7H+T0+ZzAyPnyjMz4Nbi0+2jsrPh7nPD6LUCk+kXYpPjOyIj6gmiA+2IsePlVyLD6B4Cc+G3olPqMULD5HtCo+ar4pPmF6Kj6tDUc+GIQ7PgHKMz6dwDA+rfkqPr+4IT4pPSw+844oPre7KD6tdic+m8YuPryrLz6ouyg+u+MjPo4vKj7bsyU+i5MaPn+TGz52rig+USMiPpiPIj4vRTM+X1UtPvBbJz6zqB4+VBsiPmnoHT7+oRQ+678PPrmxIz50ejA+5j4+PuqMLz4OUTM+Kwg+Pra1Mj7paCk+Gu8XPo2FIT79jjI+pPIsPl5OHj78DB0+j+YYPvMsFj4W8x0+OUUnPq81Iz4n4CM+0dAkPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0bomD3PV58940KdPZIPkz3Yq5U90/eXPRzzkj36bY49JTyUPeCqlj39zJ09k/KxPQSJsj3Jw5w9GKWVPSvclT0q0pQ9EoiWPVupnD1/F6o9m42wPZceqT2xhZM9ItSQPdvgkj3LcJ09rfqbPZpcoz1/f6c9J6iUPYRxlT11Ypg9CKCfPZ2/nz0Ix5U9ZE6UPQlijz1r6ZM9xK+KPSsCiT230p099aSjPcEtjj3zPIQ9ZWuJPXJ3jD1wApE9C2eSPS5JiD2ycok95Z+FPWcPhz2nL449SzSOPYiugz1sZ4E9+GJwPdtHYj2M/mE9PmlsPVajZj2EVHQ9elKJPdaSjz0h25U9V1WUPcbVjz0mzIg9fC9/PVejej1Oi3s9l9FkPWAVbT19nHA9vYB1PYrkfD22BH89W9pmPY+gVj3GR0Q9UHFCPeniTT3JElM9HNdkPbUZdz2zJXQ9jN5nPRWhVz3mvFE94ndSPfiSUD0Yl009XdVhPVl9bj1nh249KLpvPXbddT1uSn89fYSAPVDbgj1wzHw93Fh+PX1Nhz1AIoo9u/yMPcNpkD0BTI89J+ONPdM7gT0w5WM9ebtfPVzicD3Dt289D+9pPZPNUz2k5E89Vp9IPbjtOD1DxzI9QMYjPZRbGj2+qBA9tv4LPQb1Bj3WJQ09sI4NPfU2Ez1WWiU9hBIhPW8BKD37xyo9W6gqPRp7Kj03FiA9ucQOPahXCT18nwU9tVMIPSa5DD37hBE930whPcTNGT0NhCI9vEArPaYlHT3q5go9wsMTPTJWHz2YAyQ91csXPaKvDj3oKwg9+M4CPYVXDz1TTg09OlsUPc8lEz1vzhc9zS8YPQqMGT1HThs9j4EVPXOwDz11NRs9ZTkUPT7SDz3HKho9UnEtPUrIOz3hHTI9YvkePa8/IT32riM9IuIXPbuNFD30Fxg9ttImPaKpIT0+WB895YknPY3GKT3iyCU9dHAnPebxHT3pCCA9QLUhPZixGz1sEhg9PmUnPRvbPj2YTT49QzBQPSoJRT1AaD09vDstPRgSMj2cczI9am44PfKNRj2fQEs9PU5dPQepTT3s0EI9n5BNPe85UD0H40Y9ohI7PZv0Pj15fUg9RApJPSeUQT0Jkz495QdBPWdZST0MXkk97q5MPcnRUj3L8049rLJOPYKRUT1CKVc9JotgPVqhZj1oIGI9q8VjPZ+7az3sb3c9bjCMPeVRij0AR4M9B1mFPaHmiD33cos9UYmPPcs8lD2kk549UuGfPa28oz0PGpE92JuBPcQ/hj0YnYc9Wl+JPQ6ljj3fbI497rGDPQZZjj3/AKU9pL6wPUwzsz2d0K89nrSsPR0Isz3EUJ49zTecPWObpT0EbbQ9xZXQPZ37zz0sVcU9IMjAPQ7KwT2XC7U9dneePdFkoz2+MJA9cxCJPU0GkT3wP5g9NNefPcgJqz08Yqw9+e2xPXImsz22lr09A8q8PZ8wqj2rGqk9uCC7PfWVxD02s8c9krfAPeONwz1PZMI9HGC2PbYUsj1JxLE9n2ixPRsIuT0LvbM9uGmxPamUuT2bAbw9ZtG6Pacfrz2+2qY9duKgPZeIpj0LE6g9UoahPehsmT33LI09+CKRPWNfkz2++pI9YxKdPVfnmD2c+Ic9yBWBPdcnhz1SjYg9MkWJPYmCiz0t5ZM9MB2OPdlSjj3luZA9odaNPYGkkz1lNZ09kvqiPRWLpD3jzKo9O/OnPRDQlz0IGIo9W4uHPb2Jij2KP5M9yDKTPfKkkj3O64g9O2lwPc9JfD3uGYc9zoWFPWUYgz3F9IY9ud+GPYJQgz071IA9cKmEPV0Zjj0XTo89yCWTPYG3kj1euZ09oK2bPReHkj3GhZI9dr+SPb/JkD3k8449oU+KPdkNiz2DkZE91/iUPeGAoD1TR4897xCKPZVmiD2SsYc9lMuCPdnTdj291II9xauHPQUUij0WMZU99FGePeBclj1AMok9RzWFPYoMhj2JfHk9ngN9PU8Zgz0eCHE9KfpzPX0PeD0Gc3U937CCPS4Gfj3rUn49ei+GPZrmiT29mYw9ri2FPf03dT2seGw9FdZtPQJFdT1ZUG09mZVxPRr6bT0lTHo9vedtPdCWYj3ZYF49gNVZPZiOWD0q0m895rN0PfSYdz3++Xc9ia11PZT5ij1moY09G8WNPQosjz3+u5A9IUCSPTX+gT1ohXM9KIlqPVWaXT2P5lc9ZoQqPQhCMj01dj89TIpAPYdcPz1RbEA9tbBCPVkGTD1giVE9fvBTPStoWT1FSWY9rCloPd9oUz1Fcj49YHlBPQ3+SD0Naj89l7U+PftVQz0kVEg99ZpKPRZdUT23QVk9Zk5YPY/BVT0TPEM9AYU4Pe7hQz3UUk09MPtJPWk5PD1keig9NW8mPcLrMj068zI9vB0zPSvYOz3i7Uo9oDVJPaGvQj0jtWE9l7CIPZ0l2D1EMBw+TgoyPk77Pz7UUR4+IdIfPl26HD5UpCI+AxMnPodBHj5HLB0+b/YaPqqmIj5Phx8+sxwRPqX+KD7pbSo+J2kdPhTuGT7JmR4+b9QqPgE0FT4IQAY+a4bbPXJMpz3xe/c9TVMLPsRiQT3vOog8XVFqPNzrfjx5vN48OKm/PfQNLj6qgik+fOwXPhV2FD4bChc+m/gaPqvwHD4t1SA+hwQePiM/Gz51Wxg+9K0gPvxbJD7NcCE+KEE7PjjoUD5PS1c+4ilVPoa/Mj5ePjA+McA6PlcpKj6T9yQ+bPpbPuxPZj53VV8+eDhcPrMhWz4pmlc+cVNlPjBjbz69pVo+8Vt7PrhGnz6vyaE+qEFvPl3lZz7oMlY+hR5DPptQMT7mpS4+HUkmPpCsHz76pTM+OqI6PleRND6FtzQ+fQAwPlvxIT7PcCA+quwjPiYfRT5OrVs+iPVTPnkTOD5NRSs+GRkpPlHxGT4c6h8+YvgdPob8JD7wOzM+ApU7PlyFPD6VqTg+v7E4Ptq5PT6mOT0+62IyPjtCMT5/fy4+aaUzPuLkMj7Mbys+/fQdPjT3KT6CYT4+xz1APp9fNj7Q5ys+kEAxPjmVMj6HOTA+MOMxPg/RNj6U8DI+88o5PmimNT4LlzY+OO8/PmO/ST5sxD8+71QnPq1CND5XKkE+oYwwPoVvMD6GDTY+/DBCPkmeLz746ys+PT4tPiy9LT5vCis+tborPrHQLT5nhCc+uggePl44Fj6NjxI+6UwvPp5BRD4ILzs+DJ04PjiDNz6zaTU+nzwyPpbWHz49zhw+0zkzPlRAPT7lCD0+6uowPlM6JD6BcBw+SAUoPjb7Lz4jszE+hH8vPgQ0Nz75Ci8+2UwwPhwHPT592kI+gpBHPkZIWz44lU0+P2Y3PltHOD4HLzc+Dl82PpnDMz7HqzE+Vh0nPhtdHT5jYR8+CHE6PoQ9PT6uoDU+UngnPnzKJj61/ic+g0YoPgSiJD4ERSo+8mYnPnJiHT4/CiQ+Sp8qPoS+Nj4AEjM+ulUuPpXuMj6b+Ss+IEYrPkRwKz5oFCk+7YAnPh4qKT5h3CI+kxEbPnwjBj5KKAU+VF4DPm5gCz7fyjM+NFwwPoKpJz6xlSM+f5kZPgTYIT5oDy8+/LglPvzvFT5QVw0+lo4NPs3cIj40iig+KoUnPqT1Jz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+Mq5k9YQqfPY1WsD1GZqg9ebqUPW84jz0gI5o9mLCXPcDfmT0IhZg9pOWZPfVgoj0Mp6o96bSWPe1Tkz0xWY89pU6MPXXmlT3tfpk9zdeVPUhOiz3ypIw9X1WRPV6Ykz0xlpM9KVijPV8hoz2UYJU9NKmWPcgNkz07DZQ9aQSUPbqjhz2TXX49Gr6CPQjuhD32M5E9ojebPU1BlT2iH4c9K+6APd4Ofz05ToU9+M2APUL+gz2TOI89pRWRPWtmhz10qYg9Mq6JPb1Jjz0P8o49TfqPPTU3hD1dLHo9o7h5PYXoaz1Dbl89x1pdPejAWj15+WY9elN2PSZYfT0vnnY97Z51PSogdT3VD2Q99JZmPZdZYD0bwm09FM10PcxIaj2zRFY9ehRUPQFPWD2b5WE9fYhmPSMLXD1KrV89ZZddPWlabj0ATG89hd1lPeM5Xz0itXA9r5hyPVJZYT1+zlU9FTxoPUiTbD3WfW09pglwPRTlfz2GWns94apwPcvicj0JpIA9WtaAPboUeT2dJmk9nmd0Pc4ZeD3/7389HT2EPbzPkD0Jeo49SbhvPYJ+Yj14H1E9/WtIPdDqOT3WOUU9g+1CPfPUOD2oQDc9+T04PagBMj3Y0SM9DDMcPTWgBz29XQE9Ul/wPAzkBT2cuQw9wF4SPQLaFT35FRo9OzkiPUWiOT1yYDw942UtPZ1+Jj0qYh09mToYPXsNGD14Hxc9BnsVPdhbFz1F1yQ9n64pPZwNKD1EFBw9wbglPR1kJz1yfRw9MtYQPQrBCz2qrxA9NLoiPYGNHT21+ho9TkkQPSNBGD3fTys9bf8gPf1gHz15KR89UfYcPbtTJT0zAh49y7gfPQXlHD2XEBs9ugoaPaA1Ez3O+hc93ekZPYkIFz0ygRo9t+8YPYuECD1p0Q49ZpQYPXEiGD1YOBY9wDUUPWJMHj2nORM9boQSPUZzIj2PUSs98p8pPcatGT3qWiI9DzYpPY15MD3otyM9yYUdPe0+HT0Loi89AwJEPezAUz3vKTQ9lOssPVFmMj3RITw9W6E3PQqnQj1xXlc9F7tPPRchSz3DMTM9eakyPWcHTD2Ejlc9hkZTPZwIVD0cAlk9MOFTPR2rQT3bIjs9Iz5HPV1GRz3Ro0Q9wLNIPeFfUD3er1A902lNPdASVD0Ynls9JWRnPdJjcD1bB3Y9Wgt5PU85bz3ZMm89/IdwPTgTfz3Mw4Y92vB/PbpgcT3M2HI9jOt6PdSngz1NNZU9ICWYPUiqiz0qiJM9IbuZPZA1mD0t0409O/uBPU5KiT0Heok9vi+DPRrNiD0CupA9r9SWPQnOlz0aGZs9F/uaPb0wnT2UerA9lDOsPfqUtj2sFMM9uCjEPVDlzD3ze8g958/IPdbSxD3EJL09GmuuPfBTmz0gtKo9mq+dPbefjT09O4o942mSPXRPmj3BQ6Q9f+K3PbJGuj3vxLI95qOxPUiTpj2gHqM96iiwPRMmwz0/tsI9KHO/PcoQxD0kkL49ntauPaixrz1BMa09SVypPXWHrj3vOrc944O5PZTzrj2ziq09Y2GvPUMxpT1b+qI9bz6nPT6epz1PNqM9bpWgPWJUkD34KJc9GEGXPcpPmj38EaI9xyaiPVRPnj2PL6E9Rt6bPXCzjj1fFI09jR2HPe8mhz3ugYQ9+eGLPbZLjz3uLZA9+OyNPZspjT3jzJA9eb2dPXSaoT29dq09FTepPTQCpT37gZQ9l8mKPQGjij3iRo09WTmVPYf9lj1bS5o9zMmJPWlFgj2/pIo9KPeFPW6Mgz1trYQ9xdeAPSsjjD1FepE9toh6Papohj3IepA9I2aXPYVdkz3okqU9I52bPblKjz2nMpA9CZ6NPXBTjz1Vt449aJSWPaxCkj0RVZY9KdmaPfK7iT20BYc9ACGFPQvFfz0hzX89Zf6KPemLjj2iRo09zKyQPQ4yhD2E64E9HWSEPeXEhz3O4IQ91LmFPS3Ygz0KLII9q+19Pfz3bj3wL349GRR8PQkiez3ljYA9LveAPR/IhT3bUYw9cSyMPd+0jT2u2o89OG2RPcmulz1BHI49Vq57PeoOcz20FnE9VspvPYsBdD3iK3494lyAPYIYfz0uOW89XyBqPR8Zcz1olV89JoxvPdzJgj2uo4E9D92APRh9hD12E4g9LHSKPYbbjD2Sto89HA2RPVSihD0Khlo9C+9WPVSvVj1kRzw96Z89PZ7KRD2IxFM95k8/PeomQj3/hUY9oFVJPXtmTT1myF49g21oPal6YT3sWF89aAxePSBwWj02ak09IOo+Pf7/Nj2KjkA9x0hJPXbNSz2+H1I9au9IPZoGQz2a/049i+RFPVIBQT2tGzI9BQIwPSJlNT2UWjI95kw1PQ8RNT1wXS09XeMiPUvpJT22Xi09am03Pe/9Oj0cuUE9JDZOPSElST3YhFI9NYeYPQNT8z0nuic+hv9APo3UOj7hPBs+qPsfPnCjGD7/CxU+vDobPke6Hj5EGBU+r+EaPuh9GD5NCCw+7+AsPn39ET7wHx0+PBQjPvhLGz6mrhk+FV8XPkuQGT5OOQM+xX+9PVY4Bz0dj4w8PqUIPfj7Mj1dOP88Q6HNPMUXmTyqdpU8AxuWPLAUIT3UIRo+MtAtPkwkKT7b6ys+KxMtPtZ/Jj5RHSA+lCIaPjxhJD7bdDQ+ofo9PoDPRj7vkSY+lpEcPgC3JD4ouDE+Oxc0Pg5fMD5t3yQ+G10mPiHuLj6y7Ck+e8InPhNOST5nbmU+BR9VPmi3ST7QTGM+8wloPm3/XD5pDUw+uWtIPqZBWD4gnJc+wMaZPmCGgj4H5EE+RKcvPp7IMT4Boy0+NlomPoaUJT5xByY+7hgsPtVhKj7PWSw+IsxNPtjIST6oRzY+5bYtPicWKj7NkyE+XvUzPvd1OD52Ejc+QzonPuKVJj5IiC4+qcszPtnxIT5BaCQ+kZk0PmUrNT6Xjz4+6fssPmL4LD4hDzE+QtozPl4NKD47YjI+YaA2PjbbOT5TGzI+SG8ZPkzXGT4XBDM+/qRFPsroST4gej4+nC4wPkdrKj7dDC4+CZIlPldlKj59RjI+++M9PgS2QT5FrDU+C2swPgnSNz6jMjk+zV1DPpxMPj6bujg+RzUiPqLSKD6SHTs+pHZWPsktRj5vxys+UXMtPqDEKD65XyU+5KYdPlF0JD5EQzI+Qy45Ph1XPj4osDM+0IokPhk2Jz7Juzg+fY8wPri/ND608zo+TMVAPnvQNz5D5i8+XHgsPmlJMD4CCC4+AW42PoGgMD54fys+9xczPtJsKz7iYic+iFAmPqnKKz7frDc+hAM1PkC4Lj5IOjM+FPI0PvKTNz75B0E+Efs9PtzaOz48sjU+QnE0PqCILz7BFyA+EHYkPvwvJz6I1jg+p+83PpZdOT6saTw+IDlGPospJz5nOCk+9fEoPjNoJz58FSI+qHEhPoaBJT4/Jyo+zVAdPtWXHT6rjCE+ioYtPgFgLT4P8Cs+BfcdPunWGj5GPRk+HGoiPtiaMz7jOjU+gpc1PuvgKj73EAQ+pH/1PSagET6V3iE+uv8yPhMfNz5tTDk+7EclPpJpHD7nXxg+j1AePpNtLz4jwCo+PL0iPr8YFT5K8x0+4eQdPuLlHD7i5Rw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/GhGTPZRykz0GxZ09y6agPcGWnD0UUZk9YEKfPdGHnz1gYp49CbScPeujnD1p3qE9ZD2yPd/lnD3MWI49u0eKPZpEiD1UDo89SXWIPUJQfD0lBYM9tjONPUsDkT2Do5Q9Q/aYPfM9qD3G8as9Q1igPeP+nT0MUaA9hpaOPUnigD3cCoM9aa2FPfbhhz2y0Y89yDGcPeaKmT1oBYc9diJ8Pfh2eT3C3G49w1R/PU7Ahj0jGJA9F2KSPSFaij2gyGk9NmxmPVQafz1XsoI9kd19PdsZfT1gwHE9aoNTPcraXD3poVg96WJUPXYXVT3JSU49c0dDPZ8SPT0cX0A9kSlePUOZdT3a6nw95yBXPWqKWT3QQWo9c15yPdUhZj20oFw9Z9dbPSroYj3pNGk9phpfPYCeWD0Nl1o9JSxyPRTaaT3fUWU9UXtoPWwjYT1r1F49eIxgPd6veT21gXk9QJtwPXDgbj1X5XA9V415PdDFgT3lxoo9Hn5/PcDigj1kpXk9d9V1PaGHcz2D22096n9wPaluYT13YXA9BL51PVKpfT2qfH09RGR0PfgyXD07N0g93bhCPcy6OD189Do9s/s/PcQ6QT0Mnk095UtPPQ6NRD2oRRI9D7TyPAoh/DzADgc9H5sGPWPXBj2pqBI9epUYPes8HD1EBi49gsQsPXXOLD3y5Dw9f9o1PaFZMD2pXhU9HkcUPfixGj0UWBc9zDYePd3vKj03sSQ9eGYuPTK5Lj1vHhg9ieAHPY/RDT2sSQ09SyEQPfIDGD1wECE90XsfPfSJIj0sJB09hEEUPVidFT0nxSE9WlwzPU4uKD231xg9KkEaPd3RHT1zGCI92xQxPSZaLz36iiw9bkcfPSnfEz1hAg49IxMbPahELT1WjCs9ZOYlPc2dJj2LqyI9kXgSPfp2IT2D2yY9184XPfpIEj3ZDhI9DocbPRXUGz3JuRc9ATkcPesBHT2pHRo92S4rPX6/Lj2EaSo9ogUoPTpKLz319DE9Fus6PRrdOD12Ty89R/4jPTYUMD0MVDQ94WJBPWhsTz0XuG09AitwPbvHWT2oLFQ9mLVDPe6xRD2x1FA9o8FkPWCVYT2G3Fw9phpUPWhWRj2tLT097Kg9PX+HRD0AsEI9IGJLPQK2bz0gWXE9v6NhPXdYTj0Je009UrdUPUexaT34s309O6CHPeCgeT3qv2I9LblrPQSCfD0H8n89REt7PSiHbT3kpGE9CYB3PVFuiT3nqo49KIqYPYkZlT19r5g9qwmZPTHWlj2U34w9/guBPYXHfD0ZVoI9XXWAPRwnez3+w4A90NaBPTRbhT1YBZA984KVPYCNmj1rW7E9kpfIPY1MzT1Hprs9Oiy+PapczD1cFc49lWuzPVSMpD1HnJ49T8WdPQ+Pmj00L5o9u7+uPZLDnT1XUY89WvyRPRN3lj1Sfp89BhapPW+Dvj1Tbb89lzC1PclCsT1TNq09i0uuPUr2vj3z38A9Ybq6PR0juD0QMrU9fJKrPZVxoj3/aZ49fz6kPXm6pj39yaI9CvmfPSE7qD2UD589VoOgPSkFoj2IhKM9Z4WZPWKTmT0696A9et+ZPWRUqj1suqg9XPWkPWARmD3A4ZY9PembPTKbmj2L+5s9r3+fPReXjT2WeoQ9qSiGPXNMiD3M2Yk9pyKRPYzekz3EhJI99t6TPQyxoz0Y3ac9LGqhPaW3nz0me6c9vsyuPetbqD3hmJg9A6eOPeM/iT2cTYs9nmOPPeeanj14Gp49746YPUEEiT293YI9TUqBPTXpgD037IM93zaIPfh5hj1+o3w9vr6GPeAQiT0s2Y09ZWyTPVDclD1pNow97jGQPdKmkT1QX5A9M2mSPZXWiT2YWos9wduWPVp6mz2Hmpc9KpWRPSlDjj0SZ5E9Lc+JPX0+jz2gL489+EKRPewslT15uY09gniMPRaBnj3/gYo9LDmGPe3miz1mLJE96AKHPQhSiT221YU9CbKDPVEKhT2jAo09kRqPPSR+jz0GJ4g997+IPX27iz2I0I09yGaJPWukkT3ACJE9Lx+VPcHImj1w4p09FiKXPakMhz31RnQ9RIVmPa60Yz2EFmg9NxNyPWuoeD32hGo9kLJ8PRhvgz2jCX49Qr5mPYDEbD2nZHw9ORF/PazkgD0SJIM91neAPXJ9ZD1zxVg9RkRcPRluVj1D31A9JeFEPdnEPT0AskI9SE03PZs8PT1UwUE960JOPdXoST2c1ko98bZLPahdVj1FhVc9YGtbPbUKXz2gvFg9QlhfPc5hSj2/QkI9f+IrPfA1LT31MTQ9Q/lBPaSxRj3Ankk9wcdKPR7IRD1sG0k9hBQ5PTJvMz11pzI9o1UwPbiTMT0Q9C89JIksPWKSQz09ykQ9SPQ+PcS0Nz1+6jI9u0QqPQZtNj3H6Ds9pw0/Pb21QT0W2E89PLiDPew+AD7JMlY+4blJPq6LMD5HQCA+P5UNPg1cHT6SCxc+vIoTPvs+GD7qtxY+QfkQPnoXID7EWiQ+2ukkPpntJz4RAhs+hiQRPt0jGD6ClwU+UJPrPbCf1T3No9M9nUWzPYEqTz1dEdM8H97IPP0i1zwY3ts83dbLPAAzuTzAl6E8N2ucPN4qlzxvGa08TxaQPRo2Gj7ARCo+SGIoPiOoLT6sKzE+4aIqPqsPNT4S8C0+wBozPsoYNT49pjI+tsopPrNpID4JIic+ja8nPtOVIj553A8+SWciPu+fJj5Plik+JR0oPhBUKD7BrCQ+DR4kPpOfKD6Axyc+RNAqPrWhLT5tNig+YOoWPpYSHz6NX1c+SWaCPtHtez7rN30+/6BbPnbXRj6uZjc+ZUUzPqUlLT7BOy8+IjAxPtSEMT5N7Ts+NGEtPgSgOT6+AD0++4pNPnD9VT5d6VQ++cQ9Pt1xFT4x7hY+SZYrPm32MD5EZiA+wgpXPvX5gT4+BWg+a/NZPq/aOj5qlTE+heAvPnpVNT7p5DU+6Y40PkcTOz7LMjY+U/8uPigbJT4VaCU+rZgwPsvnGT5emAw+VzU3PnMfUT7lk1M+r9JGPnIdMz4s/ik+Zf8rPmSuMD7ZADE+ljEzPjJBPj5rc0g+pkAzPr+PNz5T3js+1i0+Pkt2RT5kekI+ZZQ1PuF4JT5r7S8+Hvg/PipPXj5+Zks+8wUgPjVBJT7quis+h8ErPrJcKj47Tjs+dk0qPsMRQD5jWk0+OQJFPtpYPD7xzTY+MIo/Pk0pMz62RTI+/xEwPutvMD7gujs+nvQ0Pi6iNj7KuzQ+FioyPuvJMj6WICc+QGcKPqEvJD61/Ss+MvVqPmkbhD6R+Ks+J8szPmO6MD7BrCU+RiIsPlnCLD7KPyo+kBsyPoAgND6DmjA+rTUyPjcvJj4yaC0+7MQyPrCnKz4CCik+c94rPs47Kj4zBik+F68qPkWRJD4Bihg+jAMjPs7VKj7w9Cg+jm0gPiA0ID47mCA+F9QlPmk1Hz5H6xs+E8ETPs65Lz7wgi4+5KcdPjqzDD5/Uww+eXsWPijwJT6WAyk+U2ESPjakKz5rJTI+D4AlPs9ZFj6RFxk+cV0iPgKJHj5uLSE+BJkaPpTwJD6YsSk+tnYNPm+hGz4Oayk+jYMoPk+3Hz4l2hk+N6QgPsI1Iz5j6iA+Y+ogPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3sBmT25oZc9RHyWPdgqlz25dJc92/6aPd+Ppz3O8Js9EKehPYsmmz2a/Zk93mOZPSfKoz1lF5o9XEmEPWumiD0QAI49LLiRPRL1ij3mZ5M9zlyVPVSxkz27/Y89mCqTPSt8kz0RyZM9jPWZPSi2kj0y5JM9+n+hPVSKoD2WvZE9ZU6PPagpkz1o8JM9lUOTPVcGjj2qDIU9Bn2HPSUFiD1V5YM9lr5yPSacfj1Uj4Y9lmZ1PYGaZD2ab2g9vYdgPWnwbD3VfWc9CCdqPXW+ZD2PcF09fstjPfXKWD3+Xm49n2xvPQqpXz0UH009bRBKPXL0QD3x6j49qmhBPdCRUD2Sm2s9hsNwPWyTWj0IE1E94TlxPeCqgD3zZnY9dJpuPYH7Sj3QK0Y9wYdMParfVz3qTVM97wBTPWRHbD38k2Y9xhhpPQIOgz2i0IM9VdpqPQBraj3/ZmM9I5hmPSmJcj3HsXs9mTiFPdIAgz2NfHg9RaZxPR2Ubz2ou3Q9mR1cPeJ9XD3ah2A9fv10PVS/gz2kMWg9jVZjPZjyZD1Z3Fo97OQ8PdcHOj0p8DU9RgI7PVzXPj2DV0A9oA9EPYelRD2W/EI9WD49PcJzOD1VUzA9HTsYPVANCz1CrAQ9jiYGPe2cBT3P1A89oE0fPQk9HT3rtyE9GEYqPW+PJj3HBDE9jk42PRaKJD1CISg9+XgcPXKXGj1L3BU9CWUXPVrnIT3CnC899lQyPVywND3uHDQ9thskPbEXIz05BTc9R3Y4PRG7MT1fgTQ9cHs6PWTEKD39vSU9m4wgPUPfLD2ffDc93RBCPT+6Nj3ZIS49TJsfPaaxHD0Ikx49YkwhPZH9ID2Erio9+RUuPagZJT3tUCA91s8YPX0FMz23qTw9lMYlPbX/LD2VbC49DeMoPRCTHD1k7CE9f3YjPRjIGj2OjxU9TlwVPSpSIj0dBTE9yR0oPSmdND0sSTU9kQg0Pa20ND3eKCo9Yj8uPdwlNz0ueTw95H87PZgeNj34zDc9eSQ2PWzrOT1E6jA96OgkPa/KMj1rIlE9YkNiPX76Vj0xMVs9wudVPd5GSz2iEj89XOJXPaB8Yz2DiDw9lWM6PcyYNz0MeTM9TfNBPQD0TT18JFw9i7plPb5sZj2ux209To9xPWU6aj3pYVw9rCVpPXG0bD09L3k9hKd+PbWrhT2gJYc9EVaMPfZIhj28iYI973KFPYWneT3Qrl09JNRrPdvAbz1DpIE9YtOPPUpvpj0BNKg9V/GlPZ71pz2od50996uQPSsbhj38EXc9S89zPfG8cj1qmXQ9nQ96PXqTgT2f1oY9RzaVPbSPoD0ClrA9JazAPeo1wD361cE9Ubu2PZyYvz1Lycg9Bxa8PW0ToD2DwJY9URuRPSDZlj3xd509i3ObPZl4mz1DBpI99lmZPYJjmz0tZZk9756lPV6Quz296bQ9y2OzPVwDvD32ZLw9QY6vPRaHrz2eZqw9D0WtPRAXtz0DEr09yqK7Pf46pz0GYqA9DTGjPdJ1pD04lqI99b2lPU3ooz1UG6Q9HFefPcTJpT32UqA9LyGfPcaVnT2dTJY93zqaPUzEmT1Vmpo900GbPW6Dmz3Qa5E9HU6TPRNAlD0cFIw9qlSLPWxhlT1hio497c2GPYNBhT3ILI09OYeJPfYFiz2RcYw92DuMPZDokD1HM6U9ViGtPYVcqj3traQ9o4SkPQONpD3Fn5c9KuWUPdvwkj2Yp4o9kGePPRgeoT0yK5090K2PPfWOij2cQ4I95/uBPcANhT2UPok9/1iIPbAYgj3Ow349R2GFPZYJgT2ZYoc9Z32NPfv0mD3aBpk9lrqZPfJQpj3MR7I9ZhGnPUb6oT3wPaA9ahugPVtsmz3zB589YFalPW3Wpz0Du5091BqOPZUpgz2X0YY917+IPeCxhT0EmYE9aEeLPdINkD2G7Y8925mVPaPSjT244Is92nOSPSKMhD2yVoM96FqCPb46iT0XuI09CVyVPXuIlz3gIJI93nCKPYyKlD3nnJw9hiKRPUO7kD2JvpY9ESqKPZ8olT0h9Zw9VfeTPfrTfD0a5Go9Z+xpPUt3bT2UXXQ9CDR2PbK7dz1DgYU9n96LPUGOiD2ml309TL13PUDfdz2uCIQ9HJCCPZYbej3UnnM9h+VwPZsYYz2BDl89uCdaPcZ8Uz1EPz89aAk9PUzYOT1pJC09Ls8rPWSJLz0J4TM9Lik4PQzfTT06dFU98WlTPdCFYz1nlX09SgV2PXDIWz3id1E9uqtAPbu1Mj30TkA9WS5IPW/dRT2f+z89FsBBPYgERj2nJEs9oXpYPQ8qVT28r0A9IAQvPVSzNT0UGkI91gJDPaPbPz3xHj091+JEPffCPT0cpTs9lwA2PW4NOT0BMjs9G188PbDLMj3gIyo9MVouPeKDMT0pDks98PRrPTDQyT0jH1U+XlJVPsaaKT5dSiQ+LGUhPstmHD7C/Rs+s0IaPoeoGz6uXhM+ORsRPo+gDj49Kww++ecXPqNeHz6ovhg+JZsdPi50DD5euwY+YPOwPTe/Gz0EUrE8K/qePPIbxjzTqNI8eFbdPAuy0zw8dNM8aofAPCbEpzwhs5k8XqmmPAGXqzwH0ak8ro+/PPs7mT0oXyg+pLdBPuEmSj75Rkw+NTc5PimSMD4/OSE+DhMZPsAnIz5dNyc+W3otPnNTKT4FUBo+ok8lPvQnJz5TjiE+74gOPvaaKz55ZTE+ancuPg5XIz5JKjA+fo0xPsw1IT7cwRs+UOQaPkW2OD5oQEw+0PxEPikkHj5zcCU+FVVwPhofaz4wBio+Mb87PrOKTT7y0ko+gPxCPl/ENz5NgyA++mEjPj60Lz777TY+6QA8PrcfNz7tySU+RvhAPvslSz433kE+wkE8PiD/NT71ayU+Lg4bPmGRJz5GrCY+HboePrs9PD6XVlY+IU1/PtENij6lKnY+idE+Pi2HKT4srjw+wwI2PhKyMz6lGjA+yFomPoBOMD5jmys+3cIiPi+CLz5zJx4+voMUPnaGKT5ZFVE+jSksPtofKT59gjM+DTUrPmjNIT4B+S8+DBcsPiy7Ij6+byM+NQ4sPtLkND5wTz8+KdFMPt2wVT5yDkI+FLQ7Pq2qMz613zs+aM82PjqMNz7eczs+Sh4yPjBzJj54mSY+IMw3Pq2cOT5b8jI+ushEPjN1QT7SqjM+/AE7PttOQz6wBT0+Sxs7Ppo5TT6eeDw+32cyPghDIT57txs+xF8cPjZZID5Fih0+jAQ1Pg4RTj6cT1M+nSc9Pmh9HD7Y6SU+W+AcPgJVMj65Qzw+B8Y+PjKDrD2Oj6k9vNlxPQYWoj3WPs091NXYPcsVIT6qi0I+C7VJPoqTRT5c7TE+q582PhR2Rz6N3jw+nVw1PlHXJj56CkA+2zM/PnU1MT6X0SQ+WE4nPuc6Kz4H2CY+PXElPpQEIj7ONyQ+13ksPoW1HD7UKBs+NiYWPh2LDz687CU+FFsgPiDYHD4X6SY+PlQcPhQJHj6VhSI+eRMgPpGGEz74QiA+J3QePgnbIz7L/yc+Z5guPqxhQT5CPCE+QE4NPmhuGj49GiI+gqQiPj1zFD5nSiE+LGoqPshEKD6jwyI+Uv0mPkOFMD7vHTE+sOQmPqtbGz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+IG5s94CeYPdl1lT1xhp49dCCxPZSgpz0yTKQ9v4eoPa3WpD1HAZs9B0GTPWZKlT0pR6M9VniZPVe8kT0Cz5A9eRGXPa8qmT0WoJY99tuYPVvNkD1XZ4E9095zPXV1fT0gJIM9Ga+MPXNLnj0lvZ4976agPWOpoT22mpQ9pH2MPVgLjj02Npk9UkWfPRSZnT3ZMaI9F9SfPUwglD0aY5A9nJyHPSwVhD2gpoI9SpWDPakhdz3CMlk9EHllPXBHbj17VGQ9TWNXPSWuaD0BoWY9tRpSPRujSz3oPlk9zgpqPQCscT1gzmQ9fB5IPTP5QD3vBkU9HUFOPYIpST3x11Q9w012PdtNZz2WRVg9ZrFRPbY/aj13ll09pftBPWnPOT10ezw9Y45IPcfwUz3gcFk9mQxXPTlQVz1g11k9/QVlPZX5cz1b2oU9H0R1PQyxWD2r3V498fd/PdSekD1HdII95953PYQ7aj2uNFU9gfxOPXjZXD2ZyWA9XzRgPcqmVT1Kflo90jhhPSjgcD29oGM9mOtKPd3sPj2b4jM9R10vPecJLD1TsDU92N05PWrdOD28NEA9+nZAPfZjPD18ZjY9pfUdPaxJDD3f+wg9dpcLPaDmGT16Rhg97PgVPQF4FD2X4Bg9QSEjPTPnJD1Ndyg9ar0yPX/ZOD1ACTU9CYQvPe7eKD3wCic9n3AnPYGLMD2slTk94H86PbvDMj2/FUY9mv5EPdBhQT2YtE89H4FTPbEfVz0MLkQ9ZedTPa4nSj0oS0A9HnNBPeo3Oj0COiQ9+6ImPW8oKT3QPTk9tKw8PQGtNz3kbik9E5ckPVcKKj3oQC49S1o2PQvsOj2jPE09XMQzPbeOOT202S89uUQsPTgGLT0eGDI9JlMrPexBNj30szI9ddssPRb0Kz1BeCI9G8goPfChIz1KYCs9SLQpPQHdJj1yUB89wukpPUzxMT28Fio9F0g2Pd89Nz2sbTQ9XC47PUG/OT174jk9XmNCPXlYQD1okDw9f244PfwpOz1SNT09AZlFPdTFPj0enj49wJdFPThWYT29m249q55SPeS8Oj3+FT49hYQ7PeWrRj3RRTE97OokPUOYKD1ZeDI9RE5JPRq1Rz36KFE9Wn1nPXwbeT3vXnU9kRV7PX/VcT1mYnM9wtpuPZuIdD1Yr3c9dt10Pdl0cj23Z4A9nDuDPfmRjT2Bb4096SWSPflvmj1LnJA9DSWJPcg6hj21coM91tyDPakmjT1ZvJo9QEiUPR5LnT2RGqU9NCSgPW8oiT3y63g9iK2CPafwgj35h4E9/qiBPSa6gj2W9oE9p5OLPbd5nz0mArc9bx66PeznsD2IjZs9p4CePR2ZnD0URZQ9YjiTPbA2kj1T5JE9toCVPacplT2JzI49lJ2OPa62jD2r0Js9s2OgPcjKoj1Dwag9Y/CpPZYzsD3a3MY9avqxPWrbrz3sRKg9RsSrPXiWrT14iKs92lOtPWdMsT2BU6s9ZzO0Pdeetz1507M9l9GoPchwpz0EHLA9bI+5PW6guz0YOrs9ItquPd7UrT2Dp6498rarPS0lqz1FNao9xvaiPQJjqz2KLKg9Y2KgPYmsnD3Ds5w96fSbPVChnj3Pn6M9sGiYPZS+hD2WXoU9JtaGPaqJij3CIZM9+tOSPSj+kz2iAJU9PiucPeAIoT1wGqU9M0CuPTuTpD2nTqA9dH6ePQMUqj0tqp89gKuOPfBMkz3mJJc97o6bPUQUnj03B5s9AAqOPfIyjj29bYY9s4GKPfpGlD3ChJU9dOiEPQ17gz3nBoI9GA5+Pf3MgD2NfIc9BDSRPePxmj0SSqA9og6lPcf7oT1I/qk9RP6cPQ5BmD2f8JI9vQKZPdMkmz2Z9Jo9oESdPVUTlj0zn5I9QDGKPQpkgj2jvoc9zFKFPTiOiT3uPJA9KKeUPU+Lnj2LKKA9UNSKPcaaiD2eQoo9I4WIPXC6hT0KiIQ9vCKMPSaymz0DFag9WgioPXkYrT23T6M9m6yNPcOCiz22KIg9RiaHPWeGgT1j54Y9FmuHPXV1gD22OnI96ql9PfWKgT2IIXs9d8t2PSBdcz1mpXs9JoqDPcPAhj11IJk9EAOWPXwOkD3M/Ik92qCDPSGjgT01j3c9QNd6PaFcdD00S3U9WAdyPWgbbD3CwUs9/4lLPdgcVT1m5lA93eZQPQZ1VD3xSVs9upJAPf/WRz23xE09UplGPShiSz0ttk49CRBbPT+FZj0MrGY9S/VgPUmmTD2fiEQ9GLQvPWW0Kz1v8i09yxY4PZ9aQj1UCEI9HDNFPTd1QD10iUk9589OPVrJTT3W70U9JsgzPfOUNz3ksTM9Ad8zPYQuSz1eD1M9MVFRPVUnUT1ScEQ97nU4PbnCMj1s4DI9oFAxPXYZKz1yiCo9oN0uPXZISD2FnlA9YtJYPRizhz1Z5CA+tJZyPr7Xdz6edUc+pyMyPrdYJz5czBg+B7kfPt83ID5HVxw+NaMZPoEIFT6Bpxg+IHISPkAI5D1Oupw9DQWUPdExvz2h0xA+ZuUJPhJpYz051bY8CcSpPIF/qDzqosU8/G63PJzPtDxIy7g8Nym3PKBfkzzN5nc8Ry2HPAmZnzyuE7A8+/+yPH3uxDxl/oY9J50xPleqQT5x5Sg+bMMiPhw6FD7dyhY+YkksPqSGHT7rZxU+GdIcPjkSIj4BUyU+OKspPhBzKT4sqCE+T+4LPlfgDD7amSo++cMsPlHVGj5GsBY+z8cpPvo7Kz5P4iI+L5cePmFKLz4BcWM+17CGPvIchT5hE1s+J6wyPiKDKj5mwyg+NIgkPkLCJD53zCw++S01PiGxMz4L6Dc++50kPpzfLz4ywy0+82EwPmFZMD6M3i8+H0c2Pnh4Mz7fuzM+8OoxPh3yNT6MsjA+DWQpPsSHKD7c4i4+fHoxPkzKKD7vFCE+XhkiPpFTKD5zhS8+9XVgPnMVgD49tis+AIwwPutLLD7GyTM+3fQ1Pg6oLz6MNjU+Zm43Pn5SLj6Zkik+U7EYPuHfKj5Bpjs+Vb9EPn/FLz5TPyk+YAYsPm9FLD4v+yk+Mi8gPlmuKD4E2jI+PRk4Pka7Rj6+pkI+NFxGPt8LRz5ZH0o+p8lBPh7eQj6ur0E+C3k/PrRuLz4jTi0+QOU1PpkmNj66ijA+MywwPh88Nj6+Cx4+viwTPmBSIT4rukw+FVZCPhfUNT5QZ0Y+VIFMPiRvRD4nvWQ+pq9BPjV4PT7NEzE+m/QrPtULKD7VRSg+DkI0Po2yPD58iTQ+MSY1Pnj5MD7LXzI+NSwyPm+OLD5OfBI+WpLLPcQDrj1SUvk8v+hcPO37fDy0xms8ljmCPKIZpjx7FHM98tUOPkjfNz7xmz0+gKEtPi8zKz5qxic+pvAjPnniBj6zX9s9rWECPoulCj5NTyA+sJskPlC5JT66Vi4+DM8xPj5jJT5L1SU+iaEoPmD/KD5A5hY+SakQPqkSET4c7BU+Kl0ePoekIj5lQxo+frUiPhomIj5HpiQ+L1ooPsL5FT5knhQ+FzctPtMcIz6yGSs+TJsyPmmCMT4qjC4+CykbPsrOCj6rSxE+xLcQPkRWHj4KOTo+u1IiPqYLID54VCY+snsnPgaDLD51PTE+JOAzPiqjMz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/tfOWPSepkD13pJ49ZI+aPTCBnz0F1J09VH6aPfbFpj2nu6Q9s/qcPXydlz0w+5c9moejPb8YrD3lcJQ9RumFPZDXhz1Fpo89tHyKPVVMhj1oQYc9m3aHPZeijD0+TIw9aCGVPZJolD2gfow9zqmOPcWSiz37Los9Ql+YPaRHmj2XxJA9N/qaPV3ooT3ogp49ou2TPVXLlD087pQ9owmVPfx8mz1IGZw9+lqYPYTBkz3vf489/sSMPR01jj1Of4o92bR2PQE0fz1+/HM95uppPdgxXT10NVQ9gbRSPTgbTj0H8FE9p/5MPSi9Tj0wcUw92qNJPcxpRD2hQlE95HVgPdywYD1fkFM9CuhTPcgAWT3mYlw94e5bPdq1UD1i4EQ9ZbtFPWAxSz0v7Us9PZRUPcPeXz0u/mg9efZePUbEVT1NE14990doPbKcbT1Sxlo9fE5cPZ11bT3O1nQ9wVNbPVI3Xj3HnkI9qjc0PfQlNT3ZeUU9sSRcPa4eTj2/ZlY9CTVVPcADSD3TpUA9TF1PPcY7Qz2pv1M99rVbPVAXXz3GIlg9UlZcPb8aVD12VWA9uvtRPd6xRz3S4EU9thQ9PeAwMD1KcBQ9WnASPQ4OFz3gfCU9EVc4Pc2nJD2k/xs9ktAkPZ1pKT3ueCY9yaMpPUH3Oz1AkDk9jjgtPTstJD0QoiA9wy0hPRw0Pz0/lVg9wCJNPZjVRD2m5Tk9UNk8PXRwRT18uTI95uw2PZFWPj0JT0I9umFEPYxrRz3sFjk90s0uPZQ0NT2Mqzc972QiPXX6Kj3eLzA9jlAwPS1ZJT0k8yE9EvAvPRAYQD3aYFA9ZFFNPU6VTD2hqk49u2ZGPahBQT0hljY9THg7Pbm8LD1lbCs9kukrPUvkIz2HRyk9AMwoPb8JJj1+IyY9EF4kPR7IHD05rSA9MiMwPT+FNj1taSc9WKElPcTqKT0PvjM94j8xPVUzOT1DLkY9mbREPU6PQT0fjUQ9pS1QPdQaWT3fnUg9c95HPcZlQD3WRT89PbRGPYcaNT0LQE89rdlRPRfTTT28F1Q93NhRPd+LND30GC89/EdDPatCPT0OuDI9rJAuPcpYOD3WS1o9JEhoPVoxWj2xmU09p01iPVhfdD2RCHQ9lxhzPZlLdz3bmnw9j554PeHAcz0igHg9CFNuPaq+bj3ymHE9MQV2PUGnfz2vDZI9K6icPZAEnz3mPJ49v7KxPc/IoT3BUJA99daFPXBJhT1Lf4s9+KCVPQm7mj2lu5Q9OFKTPY1NlD2QPpo9h8OgPTgfij3Ks4Q9AIOBPeowfj1tvY89U+edPYjthD1Bl5A9bAmJPXR8gT2+Wo09VYGjPRXOoT1gp589+nWQPYLeiz19m5c9hSWRPSdBjT2OrJE9KPmRPVJikT2Yg5I9OgeaPRWNnz2mxpw9he6lPXd7wT3KNMs9scXVPVWZwD1oALc9yta2PXwDwz2vGsc9ZGe6PWumqz1dcqY9gaGnPWW5sT3/hq09LKutPQ+xrD0pW609AOSxPT5MrD1RGqc9jFWtPV74rz2dD649av2nPfR3mT2tWY097ryPPdFGnT34Xao9wKGsPU7Gtz2pzrc9sJSxPY0Upz2Y0Kk9b+ibPWL1jj1pcZY9iaGWPTcbnD0C16M9LwylPd+boT0GVKg9uXWePRLImT1A4589jN+dPbFinj1yspg9R3+aPWW6mT08WZk9eouaPWdgnD0H5Jw9Dt+VPbR0lj0da5w9ntigPe58lD0G/o09tCuQPXAdlj0+5pM9lrmBPT8Cgz1k7409we+MPfGQjj1kbZY9Q8iaPfbGnT32O6o9OGmnPVQ/nD1d5pI9hb+SPZ+/qT1CSqU9QdeTPZPPjz1UL5A9MT6iPTKfmz1p4pA9z1GKPWm1hj1MooQ9YkyGPe+LiD0w44Y9DKKLPY47jj38Q5I9/2uePWzOnT0JgpY9/DeLPSB9iD2KRIM9iXuSPeIZpz3NOK89NJKnPaGMoT0XcJk9zeuBPXCSfD16Zno9oImDPfvAhz1ft4c9/sqJPZHCkj3pD489UomDPQe0gj3XKYM9i/GDPRNDjT3usJE97AWIPev9gT1ivoE94UaHPe6+gT0LIn49pfBwPSfsWj2xPFc9a6BSPTJIUz2ISl09ATFiPaAvVD3vLUk9ZldGPc+FTD3sqVA9Xt5VPeoVVz1q1V49721ZPR8sQz1YgDs9ak5EPbk0SD3FAEg9PuZKPURYWT0ylVM9WRo2PaSoJj2apic9mG0qPaNaMT2hLTo9V2tFPYfLQD2rIk499dxYPYGAXD2/sVg9rDdGPcvfOj0yCUQ9GFhMPediRT3yKTs9Qqs1PeVNMj3kbkI9ah1IPVZPRD3AbjY93NMpPQZHKj2u9ig9w+opPfXYKj1Cwis9VsA9PWZhVD3wSnA9L7lxPUnTgD0tbpQ9c9IIPkyIUT6xPEw+ik4yPuh2ID7rxR8+RGMUPns/FD6qaRY+UJ8cPu06ID6j0Rs+Ac4YPpfmDz75YLg9huMNPcqOoTxSgcg8kfBsPYSm+zwSfq08LtidPNBamTypWJk8MUWoPN1PLD3X7uE9RCvNPTDZoT1l95k8go6RPNVuoDxg6qo8d0i5PEHlwTyqe8g8LXt0Pap+FD7a7SM+4YAXPrL1Gz5pzxw+DiYlPkkpND6ByiI+1rYaPtutJj71YCg+Aw4hPt03LD7B1VQ+HY1EPnmPHD43PRo+cjgmPqNYIT4VyBw+WzsePgSqID6R5x8+cTcfPjLAJT72vyA+Fg42Pk7cij4ub48+pbZ5PqvYNT7Gvyk+Q0wmPprOJj5LXyQ+PuohPgxhHz4RSCU+3n01PibTMT5phDc+AtY1PsWfNT4LnjU+R8oyPkI7/T1DtPE9KikMPiwuKT7d4Sw+JXAuPkFuNj7jVi0+Uw8qPsPZIT72eho+dgkfPsUaIz51dhs+TZccPpxlLT6v7Sk+qdUnPsquOT7IECg+n2goPjSGMD7IjD0+ONUtPlCBKD6xnyg+3GctPmArLD7o30U+91A+Ph+ZNj5LWCw+ZWYlPv+JMj7/qDs+j4MqPmigMz6Wmio+HwYpPvEqLz6M8DQ+xn5APqT4ND4sCzM+5LA4PkOtPT7yiSQ+CbYjPiETQT7jW14+jTNHPpoXPz6iPTs+dCctPmIsJj6Xiy4+bUozPkmTND5PTTE+1KQxPqukQD4izk0+diY4PiO8Lz7iRzo+xDtFPs1NVD5vHVM+oMA4PndVLT4spys+BG0tPrzCRD6MATo+xWM8PrSXPD7r1Ds+wkI3PgZALj7PIDE+bTc4PtCbRT5HzT4+FYgOPtP8Bj5NHsI92zIpPXgyiTwC7Gc8TLVOPKG8nDyeSA89XJLdPfE0LD5TYDI+iMQ6PlIHNz6fqRk+uczWPc6pmT0+sqY9dIfIPdzsFj69Lyw+F0EYPlpkIj5EyDo+9w8sPryFKj7ISiM+WoErPpAiNj4mATc+Jss2PijKMT5lLSc+PZUxPh8qKj4OnCI+OtwxPpt+Qj4k4jM+DrUqPmvFKT71Vh4+VbsgPsFsJj7TTyI+FZsRPjIr+z0lvv499KwRPsw7Gj6pKB0+GlscPlBkHD6R3yo+EYEtProcKz4Y0Dk+4tc3PuH+TD5ug1E+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4KYnT1q2qY9sqWoPd5krz2Chq89VTCrPSvzoj3eVp09pFiYPcQClj06NpY9Y+qWPZ7/lT3I4JA9oayUPVnckj3FR5Q9RzKZPaPdlj1cI5g9EXqKPQzvjD3b8489TEOQPbL3kD3SLo09ag+UPXS1jD2MA4c9zwqJPQeKkT3kw6A9X1icPUOGlz2FOpk9KYuoPc7bqz1VoqY9U7WmPXU6pj31aKs936ejPeiGnT1EHZA94cOMPaEcgD0F03E9nRRuPY/fbT1+alg9sgFkPTnAcj1aVnc9B/JjPTIQXT3AgEc9kHhHPcpfVD1Rl1U9xcRUPaK1WD0lDV49vytSPZP5Wz3IYV49eZliPSnHZT0uyGk97VtkPVmSVj19ClE95/5UPcJjVD0euVA9/h5RPUyDXj0kzV89ncxaPTepVD3oiVI9ObBUPRHuVz1tHGk9l2ppPZ5LcD3ntXE9cphrPQ/IdD0f6Gs9zEFIPewnQD2V/kI9yqlQPSZRVD1S2lM9bJJXPZB0Rz3NGUk9MWJGPdxjTD0O/VE9mYNiPRcycz2bx3E9OXRaPQgFSD2iMUo9VsdUPZ4LWT1wBFw9HB1YPeKMST2kljM9KwcwPbM8JT2WxyM9R8IgPcOKIj3okSs9sOopPUMtLj3tnTQ9DQ05PZthNj0igzQ9vxQpPfzPKD3E7Dg9EINAPYS3TD1bPUc9WF9EPazjOz2Ryj898fBAPYaBRT3o7Dw99JpGPajSSD33CEI9wXBEPcVLTz3XKz49OSArPWVIHT3qQiw93OI0PRhkNj0Wex09GjYsPRYjOz105Tc9sHY6PSHiOj3gH0M9md1QPY4YSz3GXU09z9xKPVpMST2G90M91kM2Pe2DLz379zI9oxQuPUuDLT0eHi498yAuPZSnKz14Fyg9rawnPXiHIj0Uix49YLQdPVyOOT1jEUU9wXkuPUX3LT1aGDk9WAA2PdaeQT2QhkA9jv01PTVfPT10bUc9E81RPW7aST3nnkk9a3pIPQ/zST2fkkc9ijJNPX+MPj2+0TY9GjNMPWVoVT1z0lQ9mzNUPbeDRz3y+zw9xFxAPYkTRz1w0Uk9F01FPWlcQD0RKD496tpFPYvsSj0R0k892aBPPQHiZj0tqGw9lixfPUbfbT1I7nk93BSDPaKbjT1Wt449EwSDPff6iT3As4s91/yDPYXgez1ZCX49K0aOPaNKkD25N5I9gYOaPc1alD1dO4o98IiHPf0igT3V4nw9NnaFPYUaij0xc4k9L2OJPZailz2HaZ89KyqbPSKWlz3D/JQ9crePPccyiT2hHoo9rgmOPSZzij1akGg9hSRyPdo6jz3GOZs9QlaePc7Zlj0ES4U9tNRmPaLgXD1GH2o9/W5xPWcGdD0P0H09Mr6TPVsenj1o+6Y9JwKqPT5coT2bB6E9hPCiPSrJqD0CZbM9j0u2PRJGvj0QfsU9rUi+PUDIsT3y/7E9KJu7PRKhuT1TcK892kKtPZQArj0Sg7U9a5KpPYLqpz0HKa09sIm7PaVHvT0lRLk9SluvPeU+rz17kK89aqarPQk9nz00qpo9UhmfPSNGnz3c/p491RKjPfZYtD1Zv789aWPEPSHyxj0LG7s9+yWsPS0Pnj0zLZE92UCJPQ9Ykz1uD5g9j42gPdZYmj0x7ZI9Dr6WPdc+lz1pjZw91hafPY6Tlz29VZ89dXaYPdVRkT3kg5E9lrCXPSnkmT0Tzpg9gqmgPZtYpj25c6Q97+ekPQvkqD3iM6Q9D7GcPXfSlz25M5M9yGaKPQIEij3z6JA9Ki+WPc6Elz257Zg9cEWjPWgFqj1e7po9yUeLPelfij3cdI49PzmZPSaZoj2UD6895tKmPckTnj2Nfpk92PmiPfEzlz2PhpA9Ks6XPTICkj1zmI09sPGNPWVBij3NgJU9mUedPRKOnD2HsJs9xmOgPfeeqT3RX5E9ff2BPWMhiz1lQZI9EtiTPYetij2Hq4o9N7WVPabRkD1SsnY9ASprPSGIZz07TXk9T3Z8PWSudj320IM9sKiHPcWRij0uuIs9ZpqIPVVChj15/ok9mxGTPbxTjT0EwYs9QCmMPdqJkD3eMH89QZp0PW9fgT0NdHs9+wBqPeNvaz3k7GU9AnpgPVKIXT3HDlY9lWtMPVdEPj1g3jU9RFk7PXafPj0ua1M9WzJpPTyjYj0iW0496EpRPX3IUz2VhFk9kKVbPbiPUz0tlko9Hfw1Pae7Mj2rMzE9G5Y6PfrkMT2U2i09K/A2PfPeOz2Mxz895XhLPQy/ST3XPz49FLU/PT6BRT0RO0M9/MRAPb90PT3Z9z091mdAPWWLLj1s+jU9FmE+PYMQPD2oITQ9mOouPU2mJz08Tyg9QUMqPRTVLT0dRC495zo5PcPWOz0VD0U9Ah5MPUMzRz1WUFg95ip4PXSDtT208OM96qk6Pqh1UT5YyT8+l7cgPoVLIT6W5ic+5ikuPiFmJj7OoBg+mS4aPpYnGz7OoRk+lUsVPsMwHj5ZexU+nx0KPlU9vD2IX4k9oDX/PMtKhjy8F648pQ6iPFifijxx24s8NU2UPIoUnDxfuwU9EyqdPVFxqT0/FDg9wbLOPDPdyTzvpcI8k9uwPJ6Bozz1NkQ9udqDPQhtMz74dDI+eqEVPo6xEj7UNBg+NrIXPnaMDD7ysxI+40kjPmfHLj4MOSE+BYkePhi7Hz7pABw+LjM0PnyLNj6UvjY+uQ8qPjp1Gj5rLyM+QVEhPqbFID7amCE+h24fPiphIT4cWCU+uxEqPnQWMT4h1iY+WLIrPplLLT6Ihy4+G/InPoQnHz5xKTE+XDcxPixXLz42qy4+s9Q3PtajNj6PVTA+gW01PntHMj7nKjc+uEQ9Pm4pPT6F0RI++v4dPsOmLj55wTg+Jx8xPmBRND6s1Uo+0gItPn09KD6Sjx4+8ScdPu0jQT4GFII+CpeDPvvCcj4GVlw+bXQtPpe5KD67ki8+WlguPpZ4Kj4yRDM+Bi8+PqniQT4gSDg+g/UoPlWwJD7zVDM+Zr48PigBRD5TxDI+mq42PiqHQT5EtEM+2cBCPgsPOj4eUjQ+0uIuPmqhIT577Bw+bowrPpJQOD7fAT8+pZs1PsH3Lj5cGSw+uQIgPitGLz4PBz0+ED5QPsaYSD6Y30M+CJxIPjFjOD5/rTI+g000Pj9/Mj6tpTI+Myg3Pg6GNz6tNDg+7otIPgbARz4ZcTs+OYA5PgiuNj5YNVE+inRjPimYRD6yiSw+CSItPrSoSD5j6lg+tNxJPtG1Pz5q+zQ+Mn80Pvg7Nz7ShTM+hpAlPmYLKj5pYEA+SpVBPuLfPD6XI0Y+xeBDPgxUHj5N3wE+a3XnPQ1ulT2Ortk85qBAPEc3WD2t2yM+URNGPrkoRD7KGjk+AxgePpYW+z3VfQA+YB5KPtJLLD7SexA+yX4lPkpFKz7R3zE+1EAfPj2TJz7tjj4+w/g9Pr9PPD6tCCA+GEcbPq/TGT4Fjxk+1FEhPq7gIz7A2xY+u90WPsJsKj4e8j8+Sio4PlVuKD4U1yo+bmQaPp4LFj5mjjE+45Y4PpbLDT6dyPA9M5snPgbMRD4q1Cc+nyEwPkyMRz6sZDU+oLEtPhs8LD78Ay4+WX8zPrEgQj4t01E+HjBYPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/Pf6M9n8iqPaQ9pz2hJ6U9eiSePVzsnz2h3J09Mc2cPZE6nj0h5Jo9RliQPaTejT0n6ZI9YiiUPSUomD1ncpg9luqWPer8kD3nEY89vt2LPfxnjj38C489Qm6RPWuekz38BJM9KOiPPYGnjz0Rt409M6yIPb/vhj0AOYg9iGuZPYQJmT16+pc90dSMPSuzmT3Nvpw9ZAigPdcKoD1pAKE91RicPWrilT15QZM93iiMPT0hfz2bqHo9ppFrPf0vVD0lyU895e9KPf1nUj0jtVY9c75tPZcOXj1EJ1U9iN9KPY80Pz1X10Y9zwlHPTS5Sz1tj1g99HZWPXFxWj2e1W092LljPcP7YD30WUw90x1PPXuhUz0mnFY9SbpdPcvoVT1yt1I9X4laPdEbbT3fqoQ9SWSMPef/gz2Sa3I9J41zPXcIdD3N23Q9GghvPSaqdD3Uhno9imd4PbMzcT2YznE9Cu5iPYJyTz0BKUs9klBIPUk6RD3JiT09KRE9PeB1Tz245VU9JD9UPYiIUz2/+1M9r/lIPXfPVz1wT2I96VdfPR+JXz2Rc1s9nrpIPSADXj13zmw91VxhPViNUj1sszo9WiMvPU7RMD1W4C490Rg6Pf9HQT0VCzw9Zf8rPY4HKj38GTI9RVw3PQWXOT2WbD89prBHPfq6OT3Lf0E9L0FIPZSCTT0uAEw93hBZPQzCUD2N1Ug9QT5OPaOoWT1QUFw9cIpWPWdhVj2HqUc9hYdMPRgtQT1rdz89Kys8Pc6sPT2N0zQ9hkU3PZWMRj2deUA91x0uPUZiOj2Fyjk9D4E0PQwXOD2IKTo9209DPU+9OT1LeDM9JIRIPaFbUz2im1E9+uA+Pc9jMz0CvDU9QQYsPezGKj2mRik9EHEoPVLkKj04Si49KA82PX7kLz0HXyI9CQcmPQCAKj0MUzU98c1BPbpjPD3LwjU9CNM6PXAfRT3qqEk9qD09PWy5RT1bgEY9FqZFPSHBRD2YKUk9QZJNParBQD0nND49ScJIPczMST3jHD89Jb1PPSu2Tj1jM0s9UDlPPReKUD3xrkA9nhNAPSr0PD1Q80A9+W5MPeFTUj00xVU9sjhJPaFQVT1Cm2Y92vppPWRLZT12ZWY97r5uPf6LaT2jCW0904p/PS8mhD1a8Xk9l0SBPRZmgj2jjX49jVCAPVgvhz0JlHg99xaBPVEPjj30oZM95ZWTPcr/jT0CDZA9oBiVPSHdmj2hTI09BuyDPWRshD3IqY89+gqQPaKziT0w9Ys9na2TPaRMmj1leJ89iumSPQxujD1GwY09SsybPattnz3yOIk9fzJ2PQv/cz2wf4Y9BM6EPcP+gD0eBW89yKhePULZYT0RC3c95hCHPerYiz2MzYo9QBGRPRromD0jdZ89QjiaPY65nz0xv509OfqfPTVqqT3KCa89XTW7Pen3tz0L77Q92LytPfystT0NyrE9NZi1PQWZwz0tpcE9a1WtPZProD2i36k9TP+pPXVzpz08YKg95+6oPdVtrz0OBLQ9lXSyPRsytD0wHrY92bW2PdeQtz0Y17M9KFisPedepD3HfqI9W7+hPaVNqD2eP7Y9iGvAPb0btj224a09ZSilPWNgkz1UzI09c2eZPTxyiT2CXpc9Lf+YPfn2nD3FGqM9H7akPdsomz3ZFpk9TBKYPYcIlD1n3pg9s/ijPXxvnD2WipU9nC+WPXWgoD1+NK09RzupPSzQpj29VaQ9yWGgPXxqnz2NY6Q9l3ymPZn9mz3VepE9z8OPPXGQij2xl4c9yAaMPZyOlD1IzZo9noCgPTK7oT23dJI9DuN7PfL7ez1uXIM9YiyEPSUXjD0lY5I9wMWjPWUtrj2aLKk9UVqlPXIRpj3SIaE9KKybPbLspD34WaQ9zFymPR/rqT38EpU99SeOPeSvkT0fhZ09gB2fPSbcnD0TlpA97bWCPVIKiT2rc5c9BMaXPWdUlj3TTZA9V0uLPTkcgz12n3U9xQptPVtcaz3n7G89em94PUZncz3u3HE9We95Pah0gD1RboI998mFPZKuiT1HYIU9yIuOPTKdoD2VtKA9vz2cPc/ZlT2L24I99rFsPcPdaj2hKGs9vvZrPVbtaj0IL249xCdnPa+CYT3M32A9v4lcPXAgVD2ZrUU9g9hNPfAqXj1PRGI9vMJrPa8MVz1uPVY9QeZXPXN4VD2jRkQ9vjo+PckEPT0Jk0M9kRs4PQOGJj0Vpio9hhQsPdQCLz0y3DY9zwExPZIjKT2vnSk9ZiczPYRAPj0fSDA9pSYrPRLoOT3okDg9G8EzPUhzPD2sR0c9zXlDPUXEPj16pks9NIBXPVkYXD1CY0Q9bII3PYA9Mz0GRy89XVQxPTCJLD3Lqy8993MyPT5gNz0MBEA9K61APbsYQj277Do97YBRPRcbWj0xeMY97ZQMPmqTUD7UEE8+wDw4PplWHj5kOyQ+ZDgpPlorKT5tRR8+AWQYPnQ7Fz61LR0+eV4bPk5+Fz78qRQ+kU8ZPlfvEz5GOAQ+YYfSPVuDqT1NmKQ8YrhqPLSWbzw7jok8/jOiPLdspzzrgZ88oIm7PJp13Txyl8s8tmekPOD4nTzX+qI8DUmoPJoRqjwFG6s8+H3IPWIRAT6Z81E+sMZAPrhAJj7fGhY+f4cbPvt/ID7Bhhw+mHcmPm5KMT5o9TQ+SI83PugOND4UXC4+O24ePlv7FD5B4hs+LdUXPjBkGT7QRx4+xcEjPocrFj6qIBM+avIbPlAGJD6R0CQ+XG4sPqq0NT6IJjc+138fPrPdIT4tTiQ+SNYsPgNAMT4GaiY+VGgmPis/JD77aSY+aQUlPqcwKT6xPTQ+TAQwPolBLz6upjY+FLQ2PhqRNT5TKDU+aT4lPkuxMD5ZDT8+8+Y+PisyPT5jxzI+NG1GPutDLz5HWSU+27chPi2xHz4UWTg+6dFSPmI4aj4cApM+FUyUPhvqWD4Lgjg+I/s3Plf5Mj6gljM+yLQyPkrdRD6najk+MWZDPuAgRz58GUI+E5s8PllxPz7ma0M+ErMtPgMTQj7jYlU+vwVQPr+jOz5StDE+jLoyPtFaND4uCR0+U8cRPkssLT5RwDo+vK87PsImMz6OqyU+HEcfPim7Gz5NJi0+M4U1PmR6NT4rtUY+DqVJPgK4Rz4S5zQ+wqc6PttESj5kvkY+smU2Ps0NND4kaz4+4HM5PlWzNT57STQ+xwg8PqovPz4QlEo+V2RsPiLvgD4Aglg+86k8PmKSOz54ikI+noxAPrKcPD6ObDI+JW8xPupcND7pHzw+/7wvPjgROT6CKDs+nYBBPgoEPz5gezU+6CozPlKnNT7l7Dk+4LM+PhOJIT6xDhI+xTGWPR7bmzzacVs8JTryPeX8Uj6eNkU+PFwlPoQ1Kj75Uz8+w9k+PhbRNj50Di8+UPElPqdTOz7Hz1g+CYg8PtHLLj54LC0+HOUrPj5ULj5E8iQ+U80dPt+uKT6F3Cs+S64kPihhIz5kFiM+bKkfPgruIz5ZVi0+H3c3Pg+YSz4my0A+6hgqPoyHIj6SSyE+pVYpPrkMMD7ZxBQ+plADPlC5Jj5gOzY+wx8mPpwHRj4Ap2k+nVsyPjMVKz61rS0+En4qPgm2KT5Doj8+fo5VPtchbT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8kxJ49aFacPecLnD1+OaY9SlCdPTcjlz3+jJ89Bb+gPQpumz29K589GJahPYE8pD2U9aA9JlWePaRDnD3G7JY9fPOjPW9jnz2iup89CpmfPWVxlj2aOJQ9PjSQPQt0jz1hrow97jeNPRW4kj3CEoo9bM12PcrZeD04CoA9x2iHPeAdiz06u4Y9aHKBPZcdbj2tSYU91+aOPZmAjj17bI89432SPR0OiD08+Yk9H8qGPalGhT1U0n89YER2PQ8zcz3lG2g9yYNUPeWVUj0fOFE9LjJJPRYuYz0XMGg98uNSPZc+RD2yeTg9TixHPVQEUD01+Fk9c8F2PQawcT3EHF89Lx1TPaFjTj0P6Wk95ARyPSmCcj0NNHE9mw1rPRAYbj29AGU9QLtuPRqsgT1BRog9HZOEPes4ej2O4m89SSJvPfNceD3BunM93PVyPS/5eD32s4c9yRlqPahbVj3G3kk9SENCPZ5KUD3PTlk9Sa9OPdbSUT1171Q9lPBMPS28Uz3t1lQ9Ux1UPcOjVD0s7VA9kpxRPePpTz1Gi049cR5aPetpVz3xuFA962t9PRmUaT0VWGA9iI1pPaT3Yz0mslc9LUlKPQ0rQz3QxTQ9MFsmPWLVLD19YzU9pCc4PakrNz1ArjY99SYtPYR/OT0JnVU9ZJlePaGbUz2sCUU9jOtJPVtwPz1wqkc9fk1MPdfsUT1Ig1A9EIVCPeXKTz27H2k94hxsPUExTD2vdVM9y+JEPQ6uOz0OFzw9wa47PZ2gND2VHT89j5hMPRGzSD0JqU89pjNaPfw4YD2cgEY9vuhIPfkkRT0OoTo9c5lFPdJvSj2FPUM9l79CPVJhTz0uV1I9O3NTPaWfTT2S6kY9r4o1PQ98MD2hciw9MbgoPUKQJj3u+Sg9xVMqPf36Nj1xcDM9wbEqPS9lLD3l0S49LKI8PcPkSD2XTz09iK00PR+oND2eGjs9rxRFPf+ARj3mZ1M9U3lGPQSdTD3DL089fIdOPb/rSj3xnT498olJPRPYUT00v0w9kBNNPViqUD2+31E9VaRUPZtCUT3BJFE9bjlBPdSzPj1DcEw97dtTPczJWj0Uf2U9PAxzPVXMYj3qTGY9TEp+PTnKhj0Zv3w9hBlpPVzfgD0AuX89yZF7PeZ+iT3mP4s9sWaGPSX4gT3l7Xw9FL51Pdkdfj3ddYI91fd/PeVqiz308ZE9EXmNPd0Hkj1oL489cDSMPe91jT0dMYU9tB2IPVY3jT1Ggo89Fp2RPayzlT22CZg9XzePPWO3lD1tL509YkujPSl0mD28Z5I9BtKXPYISoD1dvpw9xPiWPamRjT2KBoY9H+97PVz7Zz02PVc9P2ZWPW5UaD2w7XM9uRt8PdUXij2KrZQ97eWUPQNMjD3sLY49HGSQPZ8qkz2GDJ49GsKfPYgmoj0+xKY9ek6sPdkotj3uH7Q9DEWzPSg+tz2PL7Y9S7y0PUEmrT1zkao9MT+oPeo0nT1iGZo9FTCgPQR6oz1tEKw9GYyvPcgxrD30Qqw9hjKzPUIruT2xf7s9Xh2/PYgiwj1lP8A9avC8PfQUwj2JmrQ9X8ixPUEMsT0yVLY9LGy6PVe3wT0oXbg98TWqPZRxqz0X7aQ9hA2ePSJCnD0NkJI9QmedPat0oT2y56Y9ke62PRF7uD2Gq6g9Q1OVPYZBiT2clY099Q2VPaGMnT0q06k9ZwirPVtGoz1dH6I9YF6kPcwlqD2S+JM9SrCPPUaNlj1095493AWdPTqYpj0hn6o9CD6gPTRnnj3laqM9TT6fPRWNlz2VUZU95fiPPSXcij0184Y9mj2GPXAkiz360ow9hTWTPa04kT0btY89qZeOPSoxmz26g6Y9/uSsPf4UrT3NG609fc2kPaYHoj2MhKA943igPSVMmT2zR5k9wM+QPSCWkD15WpY9JN6aPXOnjj3yNoo9R9J8PUshij1oj5E9tk2VPbUykD2gv4k96WKIPaXZgD3UdnQ9vPx9Pa0Xfz3QJXo9rjV6PYulfT0ObYE9LgKGPQrAjD0fqI49aoaOPcJbjz0MkpE95VqRPdwZmD01qZc9bTyWPTPMkT0Y3Y09iq15PVIeZz39P3c9WM1+PThzgT2iBXw9rTl4PQQcZD0b4U89q5JOPZ3TTD1NB0w91jRRPY6VXD2pgl49/RBVPXtgSz0gVzg9+Cw7PR5cNT1LgSo9gS4xPS/SLz3DaDc9eFtKPTTGPD3+eio9JhEpPZyaMD3HeTo9Z4E4PahEND1NqDQ9G0Y1PYYPNT1pYzc9u5VDPaVpPj2sBE49DZRPPaL/Pz1XQDw9x5lJPXdVST2tIUY9KSBVPQN5Wj3dn1s9usA/PZsIMj0hMzQ9r+kxPWlDNj3XzjE9zLYnPYwwLz2Frj49rLlTPVjgWT1vqFM9vQ1HPcvYKT1bByA9PbeUPdXW4D0eTCI+1g89PiZBWT5m+TY+qhApPtn3Kz7HECU+am0fPkngGT5EURo+qTIcPvJlFT5PqhE+T9MXPvVUID7e3xc+dk8NPvGEBj7ZZgM+12mWPRJhqjwLVD086wl/PGWekjyAE5U8pQeYPF2Tljy3UJ48V8imPEdepDySF6Q8I6WaPO/FoTy7VaE8FM6vPGv0vT2Z8jo+olNrPt7HnT61Voc+nic4PgmnFz5+GxQ+x0wUPgsaIT7Gpy8+iAVAPuhGOj6heDc+0h0wPqJ4Gz7nvhM+VncQPiWzFz74Oyg+2iwuPo1FND4sgSE+tBIfPod4Kj6J0S4+Qc0rPr5eKT5Yfyo+imUuPqX5ID6KWiY+pk4mPhqWJj67gSU+bVIqPu3DHj79IyY+RXwrPi5mJz4JWig+bDouPve4Kj4Y5Cs+xkMvPiZ3Kj5zlSQ+JrYsPnnsMT51jCU+WXY4PsSlOT5ubDI+31oxPlsONT7dGyg+sQksPkAFND4o9jI+GF0zPsq9HD4X+Bw+hAgwPot6MT40dDg+HkVBPozSQz5/qjo++2k4PgTaLj4SmzM+AJhGPjvmZT6wPEw+9CNGPkR7Rj78njc+UTg4PqqdNz74EDg+d3Q1Po6/MT5CjCs+SNA5PopoRD4wgDA+sKolPrtbLD6XdDU+1EUyPoP2LT4Lnzk+0e00PmXSJj6tdCA+7wo8Pgr9Pj4WVzw+NKNGPk7LNj408Cs+4YgkPu0CQz7tCUc+X3dGPsNxPj5/6T0+fm9BPtRxPD4yHzA+WJszPh3oSD7C/0o+KpM/PmUpdz7XCII+HTJ2Po2wfj4c1nw+7GdkPqdiRD7Ddzo+Xbk8PnFFPD4nnCI+yXIuPkDPSj6XWlc+e5VYPuXASz41aVA+1vtPPjnFSD5/lD4+GopAPsPxSD66pjo+Ll8zPp1vEj4SO6c9pZjtPCT0nj1yiEw+e9tOPsXQQT70UDM+7P80PsdLHz7JczM+hJpAPq4pQD7EQTw+Kq1QPm00Oj6K2i4+IU0nPsd/MD6tmTU+0BIwPubVJT4IHSU+7QQgPjWKHj6TRiA+ud0hPs99Ij6sohs+nVIlPrfkND6TnD4+ktExPtPzLz4EYjU+rZo1PmtaOT4PQ0Y+fpdRPm5XSj6f1jY+Lw0rPtydHT6DZT4+6sBaPrkdOj43Yik+HJMuPn7+MT7qSDo+TnZGPqlDPj6Hak0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/z6KyPeUJsj36HpY978mfPZRPnD1u2pg9H8igPTzMoz0T3pA9CeWLPdkjnj1qb6U9otKgPdccnD277pw9Ey2WPar0mz1IJZc9EFeYPbxHkT037Y49t9CQPZ0Rnz2WkpI9YfqCPbN2gT2y4II9peuGPXgIhj3GL4k9gHGOPY6Ehz3DbYE9izp4PeDEcz3SuG89wLZvPRKShD21JYQ9ag19PdzPdD0H5XI9kvxrPd0adj15vXE9Sq5mPb0PbD0bMWY9uutgPQUkTz0y7kM9ZPw9PZOiNj0mXj49E6FPPd5hZD27wkg9cyA/PWD3Pz04aFU9nRdiPXuIaj3GPF89XcBbPV3MWT27LmE9YhdqPVwlYT0cml89WlRiPb20cT083l095s9nPYLfYj0Q0HE9BdKFPaBqez2kWHM94ESCPZdOiz0LvmU9NsZNPRNhSz2gh2k9aGRwPXWnVj0pYkk9j2BIPeTqQj1I8FA9k79VPXAoWD36gF09LqVcPQ1YST01rFM91L1HPSVCSj0sKFo9s3hfPWUlaT0WrE099YRMPS2QSj0A5Fk9/Q5kPSAbYT3ed109rjp5PRDfcj0jqlM97+FAPZo8OD1y8jY9F+M5PXzqNj1R1Ek94zhTPVD1Uj1VCEY9tUlGPYRhSD1/Rl49Pb9pPT7EZz1CB0g9w3RNPQA7Sz2a4T89Y+BEPRsASD20n0o9cjdnPem9cD2rcog9NxCDPQfmaT2xElo935dIPfrbQT002y89cMo1PR06Tz00UFk9tYFOPQKeTT1/I049Z3tOPRdtXj2/AVk958Y9PWXbND2KHkg9sNhQPSltSD0rkUg9E0ZHPYAzSD22wE89LpxGPdKnMz2QlDc9Afw/PZsAPD0pdzk9BhAyPVNXLT2zzjQ9Cs82PaJJNT16AEY9fpFDPYp8PT07qzw9bu47PSkyPz1PTUA9UgRIPS/VPj3EJCw9Gd8yPcS7SD2+H0491xZOPdOIUj3Na1s9tcZPPcq4Pj06lUM9/XJGPfUEST2slkA9k65EPbf1ST1YM1A91pJcPY0lUj124Uk9XyVTPdhvVz0Zcl09ZnFhPQy1aD3W2HU9XqJwPdi4Zz3ArV49Fh1oPZsCfT2dRoI9qFl+PZYLdT1/ZmA91o1oPYdTgT02DIk9O9mGPRh9gj2OcYg9gLmMPReqhT1VlXY9gtd8PTHBhj15aH09zBGHPc9JkT3xFpc9aSmXPdrCmT3sP5w9YVqJPdnfgD2tQoU9DamLPd6IjT2FT5g97aWrPV7xnT2Qhpc9tcicPR+MnT21m5890IejPfsOoT0h+JA9qNaPPXAslD1giY89+uGMPXcUiz2XRXY9rjJoPfjZZz2zCHM96y90PReCfD0+XYY9ixSIPfPViT2N7JE9eniWPbBhlj3bW5o9WE6gPeFomz2YRpw9armpPbhnsj2+TLg9CTW+PWU4wz3UKMA9oDe3PRWxsT3Dha49s1WqPWqWpj3RG6s9W8+xPa9joz1m3Jw9l8ukPSdnqz0Hr6c9yYWnPUQFtT18dLU9RNutPXN/sD0tcbQ9Uf67PTPpvz19/7o9mNutPWTurj39NbE9hYq1PU5Buz0QsrQ9y12tPQJopT3f4K09ehyxPdWvpT09WKg9Vb2vPWg6qz0gXqk9tn+vPR1CtT0vYMI9aY2rPfsHlz1tL5g9fS6gPfPdrz1rAa89Enu1PRvPoj1HiZY9LPCRPSnAlz3JvKw9NU6pPbUCqj06b6w9+aSqPZ8VtD3JyrA9j5ufPXuslT163Jc9o5uZPU6ukj1iB5I9+kWTPW21kT39qIs9k+CIPWLphD2O+YM9ZIGMPTzvjj1N5JY90F+aPZdpoD2jwqU9gECuPS6Usj1+0qM9jFSZPR9AiD37AII9oKqLPaqEkT1QTZg9ckeePW8znD1Ol5o99QqXPUDFnD3p75Y9MNyQPdE9kD3Rg5E9VDaMPY2Xgj0nyoE9Pv59PaGSgj3qIoA9PapxPU0sdj0qmX49ViB6PUiHej3j1IE9ht6GPQqrhz0ETJU9O3WkPYM6pD0bQJs9uWOaPS3cjT3AsIo9yIR9Pb0ShD0ZVYU9RjKLPc35iT0JYno9pbNlPXWfZD0rSF4984hMPYbcTj0JuUg9SYpTPSikXD1g2lk9SCVYPQbAWj02aFQ9ZEhKPbgARD3UpEM9vbFJPa6tRT1JtTI9HaUpPVvZLD0LSys92MMqPR/9Mj1F5i49bYkwPZEAQD1dklY9SQNOPQcPOj13uDE9Xh4/PVyUQT2LrEE9XF8/PWzHUD3yE1c9oyZcPcKlXD0fr1E9Z+ZDPV+IQz1cdl09vGNdPXxPUD3x50E96Rs9PbXWMT320Co91jMuPR2nNj3HcDc9NUExPcwWNT2WRUo9LtdbPUvXYj1xZGA9Js5bPdlwNj0/iSI9USg+PW44gT1xtwA+21EgPtAYRj6cel0+Xn06PjlJJj6ZuSU+ggUkPhLjID7wlBs+jnwePomrHz5RwBY+n08RPvVeGj7dlhs+g9wVPnzfGj7Exxc+3bEQPirm/T0zykM9bZ13PO7alzxywJ887GSsPC7uuDwAUK48ej6TPFJaiDwbdJM8y1+XPIwcljwy/5M8gevYPGHGqT2sYC0+ifw6Pi+0PT6QI0M+oJI/PthCLj4sfiQ++c8ZPgwZFT7yDDs+cg1aPndpTT7cIzw+IjYpPjnIKz4o2h4+qGscPtlvGz4McxI+tmgePmJ2Iz4pRyM+Ch8ZPrjqGz4rhCc+qCU1PsZeOT6awDc+XPA7Pn6VPz6dHTg+8g8yPuFgOT7SrzU+1DMpPpTyHz69XB4+FeYwPvLvQT5xlzw+06cuPqhbKz51BS0+ZBAmPg38Mj4hxjM+RMEwPjzmKT5kfDo+WqgoPq/AOj4H+z0+in87PjVKNT7gcDA+AsY4Po53RD7va0Q+AGVEPo7vLj6gpRo+JRcxPk4qLT6xmzA+UyA6PmjpMz53WCw+M04lPuJJIj6N2yg+2B1NPq+gTz6oGFs+47pUPvdVQT6dtEA+Bq85PpwJOj4y6jg+FTE7Pn01Nz5ChjM+PawzPiaIPj4AFyY+a7IdPl6TLj4qE0M+1x5GPq5fIz4XLRc+gyoZPj4iJz7O1yo+qlUvPoPbUT4GVSk+2lQfPq4OKj6BDTA+Io4xPjAfLT51ji8+y2YyPg1aND5cQT0+4QdEPjRgTT5hrko+ZXg8PhGeMj5S2D0+pZdKPmP2Pz6+sjk+6+pTPqf4Yj6K3XE+6MBjPrWvXT4OiE0+zFNBPr8AQT7wBVU+NiExPsuVLj4bFjY+SSw5Pr+AMj5K9kU+ovVWPkrFUD66WD0+KNkyPkHqMz4FaDU+Zw46PlWBNj6CnC0+CikqPmTpBT5G4pA9KSkGPjWhQj6EjlY+68U/PhdIOj6pgio+rBhEPlDpUD4zikM+SKo1PipwMD683Sg+rmQuPrlCMD7iMzs+BLs3PqLKLz623jI+v3ozPlQKNT6AXzE+tgcqPgSnJz4eySk+hrUcPlbFHj6Woy0+ZMs9PvIYMj73njk+8/sxPmKJOz7KZFM+LklhPvIeXz45DU8+2Cg8PsdqKD4YTxc+8+gLPuxMOz4QsSQ+XcMfPrSVQD7D000+8q9JPmMhRT5pplE+bIdwPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8qBpD1evaQ9koijPQz5kj0klZU90pOZPdstgz2ICnQ95092PZaOgz1VaoM9ItSGPbMOjz3esY89eduPPZIhkz2Zpos9CQGKPeDEoj1mf6s9UAiqPUOYnD3Qm5I9pCWUPUnbjT1AkYc9gAZ+PQ4bfj3sz4w9PNuXPa4MmT3L74k9uEiOPSk1jD0+QIQ9mhp/PUzcgD2Clnk91DR2PT31eD2o2H89NB14PaayaT19goA9NwOPPSd/iz2U4oA9I65vPdZiVj0Rhzk9+Pg/Pe3EPz02xjo9o19EPcoSTT26i049erJVPUj8Yz1L7Fg9Zg9UPZvsaD3xO1g9LmBTPYZnTD1FrlE9chlbPRegXj3vsGs9q+50PSwccD1kM2g9CYZlPW4ndD0w93M9G9mBPT17ij0E04g9X6GMPc1lgD1INYI97IdjPcYCWT3QV1o9ithfPclrTz2szVQ974RcPUDkUT3VoEw9oABVPcatUT0INlQ94YNSPVAzTz37/049YSdPPQPyPT07wU09DERoPdIJcT0IMHc9C29YPe7vUD3BrVc9NedfPd/iaD1W0Go9BFhoPYOnbj0KM2M90VBJPS3zRz1stUk9WwBKPdxXVD1yBU09bdxIPUH5QD2a/zk9zCk7PSueTz3d71g9wRRNPelRSz0rFko9WRdJPUxKQD3yglE97B0/PUZhSD0IWV49g5VXPXcRaD0UG2w9Kr1tPdQTVj3gGUY9s55FPXolRj24vEg9dD5DPeRhRD2oflM9S8ZPPYXcRT2dWlM9IkBZPXcuZT2cUVw9GbxJPYlGPD12GTc9PRU8PaTvST2VHk49kAJaPannXT0VaUo9SHJMPer1Nz1jrjQ9PF9CPR0MQD1HWUI95U5IPSSjQD17bj89wWpIPY2MTT1L6Uk9RRVKPRHKUj343VI9PNdPPdTdST21z0g9hyBXPXp5ST208EY9lZhZPUZbXj2wk3A9xNJvPfAxcj019Gw9ZVNyPTDBcj2FqGc9PQNSPVcXUD3sFUE9BtVVPR56aT0/ZVw92r9SPZtHUD03EFo9b1xUPY5cWT2rCls9xVdfPce0ZT3or2I91H55PUcQgD0aCHg9GM9vPSGNaj1iR2o9u2dwPfAIdT1kuok9Wp+FPUC7ez1QI4I91siNPcJBhT1hSnE9X9iAPdDplD0o1og9/uiDPT1LgT0DAII9j9yEPdbIjj1wJaY9pAe1PVpdqj0YqaY9LmOiPYT/lT1CPpg9aimZPWQkmz2lHJw9JbmgPVHepT3Vtpk9ueWSPY5XnT1Shp89RICYPbYykj333Io9c82RPUubkj202Zc9J0KdPVC6nj3DGpE9/32DPZrMdz0op3w9Ntx7PWrwfT24k4c9dN6SPWWLlz3zkKA98UGgPQAyoz2g66U9/+SmPc6Crz10vrE9CcSuPaZWpj0FaaY960eqPdR2sT3bHr09lsi6PSZ8sz2OJa89LRmnPcgGnT1JUKk9NJqyPf97rD2OPaI94gChPUqZpj3Ampw9WUecPeWYpj1V0bM9cIerPdmjuD2SsMA9gv22PWydsD1kX6k9OM/BPTTtuj0mu8A9wrnOPQMZ1T0fKcs9aBnAPYL7wz0pHas9pGWnPcOVrD022rQ9iVXJPfA61z2uLb896me3PRYgvj2mQso9s/a2PUDYnz3qVaY9nYGpPaEupD2AlbU9jyK3PdHgqT0wcpw9K/WWPfSUmj1PYqQ9GOSrPQElvz2P88A9y9e2PQb8rj0afKg9QIKjPQW1nD10Cpk9UneYPdjClj2mep099qifPWK3kT3WA4o9AZaOPa6tlT1F0ZM9jcOXPY4Jkz2QAJg9LNCiPfzJpT3OQqg9ONOYPX1Ilj1jppo9LWmSPeL5jj3A35E9u0SZPb0ZlD2iHpI9GkaQPWDjlD00NpY951iWPcu2mT0N1qM9le+mPb9hmj2ZZ5U9ugyDPRIvdD2OtGU9+6J3PT3whD3s6oU93WeCPQ4XdD2hHHM9rp2BPaJMhT0lHoI9XG+BPQIIij1UBpE9LB6SPeSljz1u8ZI91/yWPZ2rjj2G6os9EzGRPVgrhz1MC4g9a7mEPbi3dj2P+Gw9ir1dPVJ1VD1VIFM9IbdRPUR3Xj1Q+149OFFSPbUoTj3RyFM9G9ZUPY70Rj1ODEo98AlVPQ+cWj3SOG89779gPV1TSD1mMC89v3szPfrWLz2NECw9olMqPQ52KT1E4C4937QtPXN8Lz0+ST09tFpGPYOpQD2QZDQ9Yz47PYN7PD14nTo9QARAPSNKTT2BPlE9PJldPZoRSz3o8FY9VONfPdjwXT1FNFY9Z8RTPZiGSz2EfD0963ovPVakJz0/9yo9R00ePSNzIz1r8y89C54+PXiSSD1PAVQ9kZ1kPXWTbD1lV0Q9LNMzPUykNz1oO0k9LMs2PbFLOz2GI2U9QSXkPbXSDT4sBl0+rQJIPoPXMT4fxCA+8GknPotdKD4eOyQ+0kAdPt44FT6DaRQ+X50ZPuNmGj5RcyE+hHYcPoaYET6ZsRI+bk0GPgaxmz26Kng9Yp6XPKJzazyfR388Hw2KPCiEijy3xpM8OJmOPDCOjzwYwow8TrWPPMGZjTyqapA8eGahPPzYND3MCgw+SSYqPu9RET6aGBM+EmcbPiLJFT61GRk+rxEkPnM2JT6M+B8+4bUuPvz1Vj6jhFc+w6sfPj+6MT4Z0HY+M854PvWxXT6mjzo+0bYzPjXlIz7lwR4+KsEiPnh9Jj4YTxo+tJJQPk2JXj4ZaEk+61ZFPtWxTT5XGk4+xKVCPnTJJj7VKy4+d6QqPjnOIj7Flh4+/TkbPs68Lj5yb0A+Vf80PnrdID48Cx4+0kszPnfEKD4+EzA+WXAyPnqDOT70bTA+vyU/PnZzLz4PmzA+V/MzPkoKMj5xLSE+9MNCPnAVRj6nhDQ+Hk0sPlqRUj4Y+Eg+e9QsPtzBOT6N3jo+T1w4PoBRMz5j+jg+DG4jPlGmIT5v9FE+mjlgPskDVT7T4kQ++lE9PvXcLj7uOSo+WRQ9PrVKSD5Ak0k+vbE/PtSrPT4kDjk+zFIwPhUyLj51rjM+Q10sPkN3Mz4iQD8+OIg8Piw9Oz77aDU+hvEkPhK4IT5N8io+xAQ6PsomPz5jcUk+nO87Ps0THD7VRSI+ylQzPhSgNj5WhDQ+fF4qPtYRMT7bYjQ+JO0iPrqYOT44UUQ+gbRjPtdEXD4UqEw+oKZAPnnBPT7w3j4+H55CPkYoVT4Z6GI+3mNlPgnMXD7cJ1g+9Oo+PgibKT7S+T8+NMNCPhGqQD4dzDs+gWMnPjQIJz5gbTI+hG1TPqrDWT5lC00+5R84PiJdKD4u9Ck+ZrEuPsgQID5dfyA+sEskPn9XIT7dayY+eRMmPqRKPT5l8VQ+wN9MPrGgQD7kF0E+GzI1PhZnMz5e9jQ+Ez4yPl9OLj7Hki4+1Ak9PjFrLD6BOSA+ucwsPqtGOD7FQTQ+fx43PgMoOj7c3kg+3/VAPveAMT5ZOR0+gnguPk4wQT6ZQC8+h2koPrewQT5XhTw+nNgjPmeSLT6yxDw+8389PiDVLD7rvTQ+Kos/PuRaPD4BNEA+thI+PmLqPj75ezg+8oAgPoVmOT6Ntj8+Vj9BPpd4Pz7+zTw+0GZBPk3DPz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8Okp09//OPPWPrjT2AlI49KXSVPQuciT3Vcns9XI50PcWNcz0LrX89zjiKPaeyjT17LJg9ZECPPVaZgT2pmoM9zTaMPTIQkj3SA5I9GuORPbImjD0Au409IqGPPaUekD31K4w98TWZPVG2rD0xeqw9BJ6kPS55nz17Ipk9w02MPZE2hz1OfIY9knaFPcQSgT0Tcno9qSN7PTjleT0nOYM9x+qUPZLXmT07kok9B9+FPVHykz2YEo49ZJCHPWHLcz2+uXI9lxdkPWJ3RT212jI9LBg1Pe7fQD096UM9uM5TPc3EUj2Va1w9OZNcPfWqWT2uk1s93gxTPcC9Tz0PPVY9blVcPQonaz0TQm49sc1uPdADYT2hHmE9VNdrPcLlej3Jg3k9XjVxPXkWhz2mFog9jheFPZaLgz3bslw9ailFPUlcQz3QQzY9VMQ0PSPKSj34UVk9NdJaPaMrUj2JT0w9yRlGPeoMUD2rWEs93tNFPRQZPj1yUz49KGU+PTFjRT1udVU9PFdRPdTcVj2t5lc9YshbPedcUT2Gh2M9hThxPRa4cz1R1Gk9lahiPZSdXj05LX89UgB9PSUSbT1Uj189UFVMPaLJRz1ovzg9nBsmPbzoLT1t3Eo9xpBIPabOST0rGWQ9QG9nPd4MUT3O+Ek9kbtePTRaYT1bj1c94TZMPS/3Tz3HjEk90VBIPYgDTD1sylY9E/BpPYbLWz0M3kc9llNVPbkJYj31I1g9J5FSPa0rUj2m6lY9iLVCPXROXT2Wrlg9iD9RPTwHVD3a3kk9TCBZPVyMTD3AqlE9SpxPPejiUD3BYl09XKtbPaM5XD1S2FE9XatBPXgROz2t9DU9T+AyPfkXNz1v1zU9+dcyPTUgOD0TwDU9mXguPUiwNj1zSi89t9guPfJrMj3thUQ9Hy1PPdQ7RD3vRT09Znc8PU65PT1b50o9jUZRPeNAUz1jeVk9b8BmPaM4dT0dSGA9qX1PPVlDZT3g2HU9MV1vPUecWD3vbkk9XVFWPe90Wz0HE1Y96R1KPYwiVT32SmA94LNgPQvUZD00uF09GIFQPZltXT0o3Vw9aOZiPWhyej0oM4Q9NkuEPcURdD2UuXY9a4N2PbIVhD1idIk9Z7aJPfxbgz2uvIU9jsKCPZ/ggj3FDoU9bax/PfqNiD2D3JI9BfqOPd3ijD2W6Ik9rhaJPVVllz2WXJk9dGOcPbKynj2DT6M9dr6gPQESnj31Dqc9qtaqPcKIpD3nIqA9lmeePU/AlD1nUYc9lw2IPZ/IjD21yaA9RbixPWq4sD0NeaU9F6GePUE5nj19H5Y9eACWPQ4Alz0u8po9992cPdwcmD2NfJI9f9+KPVtjij2DZok9yGqKPXaAkj19UJk9Y82aPaS6nD2txZs9obGgPfHCoT1UGaY9Y+ymPY5prT22RrI9lLS4Pb70vD0B47M938fHPQG0yT0AZ8k9DiPIPRgbvj2VR7E90wioPdMwoz3SXJw9qBORPXvnnD3DW6E921abPfCYnz19AKE9lPyiPQgXrz2h1sE9LVO6PbF2uj2mybw9iKW5PSfEwD0ascY9BcXGPfmgyD20ecs9MIzNPYJAvz2aDr09dPXAPeDwxT2up9M9/xfPPdVayD2ebss9INfBPdaRvD2ZA789BY23Pa/RqD0DkLM9C3GzPXFytj3w9Lk96FquPQB0pz0k2609cTCvPbvMuD2p1r09ll/EPY8UsT3Dq7U9dUStPaDupT1OLac9aAuhPYymmD0lTZ09UoeZPYgOmz0Sr5896EqgPRdBqj1Dra09A/iqPbgmqz12l6k92d6nPWhTjz2Rr5c9VxOZPYIUkT0085I9YlKTPYZcjj3p0Zc92nCdPUXJmj1BNIo9nwyHPUPHjD00h5Q9ENedPSxBoz2XyLA985msPWDypD2Ibp89ey6WPShPkD3mV409rMOLPcflhz2j5X09u/SEPYKWgz2HX3k9dcN5PReVdT2n92w9pQx3PZQnhj3ozJM96XWKPfVgjj1b3Jc9Ux+WPYNxqT02L5U9QpKGPQyuhz0mAYc9D4WDPe0/iT2cVYQ9y0JyPc7ZZj2X8VM9rTpOPRLARz2G9U091rNiPR5BXT2ONlk9tCxMPTxTRz1aOkQ9QiBAPXIBUD1EwlU9Wq1bPWfuVj1hZVc9Tm9TPWZhQz3S8jo9TA40PYEINT1hUTU9qEQ7PZSfNj05rjI9NJ0qPSMkLz254Tw9gdc2PZ8LLj2v+ig9GyguPWTNOj1PEkI9GDVKPbpNTT3rPEg9CWROPTkTXD10J1g9S3dcPXLFUz06x009gOZHPRqHQj0NN0I9mQIyPfqTLD2/TC49E5cyPXFxOT1Yn0w9ABJRPbdrXT2fUF49mA8/PbftLD1KZS89LE4vPfXtOD0ebDk9DFMsPSVUNj16Zlo9SkxmPXdBqz3mlQY+/LZAPmoESj7a1z0+Y30VPv7THT692CI+x0AjPrGIHj7Wahg+1TIePv77GT555xc+hhgYPjvaFT65bg4+icYNPvFKwz05otI85OqFPNvDZzz/dnY8RkKBPIQnjzwg2Jo84fSePIEHsTx9hKk83lSgPH4dqTyMfZk8YtePPN6IhzyLHo08OQh2PX3gCT6uAC8+dqYgPlQwHz5j1xw+YzwVPm81Dz5hwUM+kLV6PjEvZT4i31Y+o2SBPosbNT5q4Co+2YwzPpw4MT6WriM+vr0tPurWLD7x8yI+U4YrPrQ2MD71FC8+WUYiPnhYPT7GWTM+JDc1PpxdPT6oCTs+kcM7Pn7hOj5apCc+50MoPltLIz5WFh0+2sEbPnLnIj6VnCY+8gYwPiN7KT76OyA+/IwdPgBBJT7zISg+L8wvPqkkOj41tjo+aIM5PuQ6LT7VxSE+pAw0Pr2lRz7D1UI+zQ8fPtP6Lj7vjUk+QwM+PqZPNj7W5EY+uc1BPseoLD4Jcjs+fLFDPjrUPz4JWjw+ZbA8Ppc0Rz6/HEo+SppPPkqcVj7Az1Q+vQR1PuQfQz6wFDY+NJ83PrUrQj5L20c+67VbPs0iQD6V8i0+ZnovPuy0Kj5uESc+hrEpPr3kLT7ADDk+3O4+Pu3eRT4ttkY+mu9FPu2vQT6FbUU+wM8vPpL8JT7Ooyc+U/8wPgCzMD6x/SA+go86PujsPz4BhDE+OsouPuq/Hz74Ohg+2LkuPpnxLD6pGjE+DHQvPsbhNz4ErEs+LclLPoH+Lj5G2zw+yAREPo5sTz4/4U8+wY5vPg44gz6h5Fw+QVVQPsGsJj4O0ys+s1tGPv9YTT7/7lU+rTRjPrxHRT7p6hM+ajsfPjqYHT7YrTo+8XY+PotfOz6eSzQ+EDk6Pg1OOD4N1C4+nmc3Pj9vNz598iY+yZgePvoLGz6fzyM+aSAjPgVJLj4NH0k+A7lMPtiQPj7uslQ+7b1DPn93Kj6mgCQ+wTRUPikaPT6a5ik+IfYqPprQNj7ObTc+nOEkPnL6Kj6kjzw+phs6PiVLLj5PuSk+sBEnPpAIKD7V2jY+A6dHPkw3RT6rzzc+ztsxPm+VPD4OLEw+H0NvPg5GYj611jo+CDEtPl6zQD5WET8+DVo+PiLdPz4WxkQ+HdI7Pq98Nj5KfSs+xcQgPmW7NT6Vi1M+0o5TPngBQT6ozjY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/dd6YPWxClD3h6po9o8SbPXXrnT2noJ89aL+WPatqkT0u84k9s3KJPUApjD2zxJA9eGCRPd+2lD1OJY49cZGHPWBoiz0AkYo9miqGPewQiD3qVI89NlePPcEDkD0sdZY9jEGdPRkWoj2waKg9OMKhPRaumz2r0Js9VjqUPXM4gz2tboY9yNKMPXSzjT2dToc9okGLPd7skz2NDo09eVGWPR3Skj0mVIU9JmWIPXzEiT0DP4I9oVF8Pa29eT0Ponk9tzhxPcdfVT08GU09fbdEPfxzQj1aQks9K6xYPXZVVz3G+1c9liVdPX0fVz2lpG49tnlqPUKBXD2TOWw9WlBvPSEPcz0mNG49r+NkPV17WD389lo9gcxhPXvFYT1m22o9KhxzPdU7eD3kLoM9I5ZwPWadXj2Xc149CnBcPaZBUz1A3kc9qphEPfFESj2Tk1s9kW1nPS1YUj3bb049hlpMPT53VT1nn1g9+Pw4PfccRD1ZxEs9A3lYPdNDYD0VOmQ98MtnPXRjaj0KRnc97kt1PXTKVj1U0lA9aRBkPSXidD2+vWo9KvxiPRsEaj27fmw9EbNtPUXQSD2/GD09HJ00Pa5HOz3cVTU9MWsuPZzCJz2Wmy49OIs9PXDHUj3S+Fo9uc1YPc1jXj2IvlU9gwpcPRcVXD1vUGc9BB9qPYdWZz3l20Y910FGPVU4TT1Y90s9XH1OPVVHUj3VOFA9Vz5CPWTDST2xUFA9s35PPfdkUz3OwVk9haJUPakIRj22n0w9TQdNPXG+Tz0MuVU907xRPdh5PT0wAz49UHRFPXtMRD3DuUE97ORYPX4WZD2LD2E9LJJaPdWUTD0mIVA96+tYPYXYVD2jqkc9/5g9PTgTOz0QKTY9KxEzPeWbOT3vskA9HtQ4PZ2bNj0rhjU91HI0PTcTQD2Ntkk9UstIPeeFTT00N1o92dBSPa/IUj3MF149UHlsPSB1aD28Fmw9XVVaPY5GRz1cuVk90ldePaugYD26BWY9gOJaPfDbVj1qLGk92nFxPaOMcD3dHHs9jMhzPfExdT1qc1499gddPVPWXj1WanA9Rg17PZRPbD2si389ArqEPWY4hT1nfnU93AWAPUeKjT34N5Y99gGNPZdygz2cVX49OR95Parfgj11a5A9HsuQPafmkz1/pJU9jE+ePSZPkz17Q4s9A3GLPdiPkz0pw5Q910qMPRN/lD3bc6I9O/2aPeCykT2sNpI9jTidPSlvoz2/dZs9Jj+YPaDxkz3aRZQ9nEyaPQRGmz3KOZ898xuiPVokqD29E6c9GLCePWY3oT1s16M9YWKgPbVnnj3Yl6E9GLehPdrroj0XhKU9in2fPXY7jz0ahIE9p1CDPepWhD0al4k9EAqUPS6Skz1ZD5E9psiTPfXQmj2UKqQ9PcClPZu2rj2ydrU9nHKvPSexsj1u+cg9YO/APewyuT1xu7g9jZXCPTWWvz0YiL49a7KxPVeopD2nC5s9DhaWPbdykj373p89Xn6iPeP/pD0UvK89+WuxPRu9rj1zZ6o9u42tPXr2rj3ZTbY9Oj6uPS5otz1TV789xSHDPRBsvz2eT789M3K1PbsTuj0tELw9E4+0PdNLtD1IArI9DbizPW8Xvj3++809jM7HPTdRvz2qOaw9JE2pPX9nqT24dqM9iS6wPdg9rT0e7bA9gUC9PVNtvT008sI9Zbu/PVW/sT2v4qg9g4+iPa3nnz3Ah6E9JBymPVxvqD2A4Zg9tR+TPawHkz0DL5I9Hx6SPSt5lz3UIaI9nCiiPYXDnz0cf6c9YX+rPS3DmT1+x5I9THaVPemylT0kh4Q9bTGMPeXNkD1yKIg9+d6EPY/pij0R0I89nD+hPQxrrD0draA9T/qTPSyLnj2I2aA9rKufPSYyoj0b3ag9MxWqPd0OmD17gJQ9v4SNPU8xkD1q8JM9Z/aKPY8ugj048n89Z6B3PWLjgj2Ty4U9ESmAPZg/ej1kHIA9yeGIPQ2sjT0J8pE9d3CVPUORkj2s8o09HmaNPd6YiD0N4IY9pnV9PQuSdT2pP349jRx7PfmQfT3AIIM9baV0PUNBaT1cA109EvlaPToGZD3LtWs9hUJlPcxJYT2hslU9qcVTPcqdTz12/049SXpAPWfXPD3l0EY94MtNPQ/qTj3Ud1A9qFVSPTFfUD1MpT49tH46PfgnQT3n3lY9VX43PV5NKj3IpC89+/8xPWbRMz1iyjE9ouIxPYhVND1Ctjc9fYk5PdEVMz3E1zg992ZLPXuyTz17gWo9/mB0PZwOcj3y8WM9AyZkPXXXYT3pCD89Ti42PeaPNT0heCY9mqclPUbUKD19jDI9dhc3PVdxQz1Csj09+MxBPeudPz2e9UA9TmM/PX/gOT2Xdi49Q7wyPWrROT3Inj89A81APXLJPT0UMTg9YS1LPVWwcT2o02w9uuSrPQmdyD1F0UE+yF5OPmAlHj6jQR4+i6QlPkwsJj48uhw+NHcjPqXzIj41JxI+HLkVPvCGFz7d3RQ+cLYRPmnECz4g+5U9FYKHPGHpQTy/ZWY8drp5PMgvijyUppk8p8iUPM6DkTxaGJE8RpiQPJwbkTwC+4s8G8CKPBKVgDxrLoY8OJeVPPMwwDyRep49gh8SPtH5GD6nmxk+6OkcPksqAD5Pqqg9gA8UPmCgDD5TJfs9UQbyPalQLz4SUiE+xawhPg+QKD42ySk+iXYlPgm7JD6JRSQ+H64gPgFrLz6I7CU+E9QfPr6GNT6nBjw+248bPr/0ID5j0ik+m8wuPhxwLT6fjCI+FQkkPsOyIz5nYSY+6GUiPsdkFz5N7iE+bYQpPnvbMz46fDo+ll8qPopaIj7tDik+NNYmPphoKj4WFTU+DIs+PnogND480Bs+IBUqPkxiSD52HEc+JOdEPvDSIT640UQ+V/lFPiXbRj53I00+4IVYPg1RSD6dZDQ+NjY/Plk1Qj4sBkE+eNc8PkjvLD5avyg+Fd1aPs+8Sz6wcGE+6qNsPkMleT7UcGU+N7pMPt0ZTj74DDw+EDM2PpWdQD4Xoo8+MnScPvgJVj7d2Bs+AXglPi1LNT56lkI+QdlIPtn1RD5tsEA+fzNQPsJsUz4yZU8+IJNFPgTxMj5TCi0+cb0sPn/8Lj7VCjM++BAcPqAILD7Ssj8+iyI5Pt4GNz6GQCo+1/kcPkpDLD56mDE+XbAkPt8JIj44TyU+/Os0PkQeTz5GXE0+nGo2PuemNT74K0M+OIA+Pn8UYD73PHI+MUNQPqaCNj6dHTI+Xnw5PqQYKz60ASE+Hls6PsutLT6zDiQ+9h0QPrnNDT7H0CE+UHAlPneoLD4HgCo+rvIrPmPZQD5w3C8+8y8vPq6MNz4VSjQ+UskvPoofMj462Cw+glsoPt8SIz4tsyo+7Us5Po0fQz7Otzo+JLFCPq4jMT7kfS0+OQgoPkYqRT5eI1I+yT9APuTJLT4lJCk+JYclPhvJMj7GGj8+Tck7PmGNMz6oUyo+wf8oPjirJz5c7C0+jE46PhkDST6PgFI+jFBAPltwPz6X6TE+wOdRPnfOeT6mHH4+IupBPgiuKz6zOyI+gx8kPq7iJj5wHRw+OBE0PpMMPD7j5Rw+PJQuPiEcOD4KCkw+gK9UPnLsVT5rgEs+L55JPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2kZnT3C2Z89WAqcPf5moT06LqE9NP6cPWiBnD0JQZw9k9eiPf7SpD1CJ6Q9UMCiPaenoT1Q3ps9CauNPdH9iT0L4Ys9IWWJPXfxjD2e9Jg9CF6aPZJjkj1q05Q9Xt+dPe1Moj3aSKE9OrKcPZMclz3O0pQ9Wt6UPajQkj3nrYo9J6eGPdpUgz2X8Xs9PpZtPTokhz36jo49EZSHPRXYhz08SIQ9L2+CPfOoiT1yCIc9IgiGPXjrjD19Hoo965mCPdFXdz1qd2s9pNB6PUpfdj2cTmI9z1NaPRxSWj1bc1k9HuVgPcD+Yz1R9V89OcdXPSNoUj3YI2Y9wS5wPX24YT1Vb1c9skJjPc2SfT0RknE9gkNiPUlyXD1iE109QSNiPVCdcT1l5mc95EhsPV7yXj3lhko9STVJPU/CYD1rXGY9DPVZPY+ZZj0Kd3s9KqV6PYAcXz1E6WM9T/hdPQ/0TD1AqEs9IHVLPSoiTD2u80w99UFPPVPyVj0FfVg9j1FgPZptfz0Hdn89cY5wPevtYz2SbGM9X9FhPf6hcj0rkGo9yc1lPQmNYj35MXk9jM15PbNJcD1MIjs9GJ0oPWbgLD3yA0I9PY09PdPNPD3SOkc9SsNBPRSGRT1c+FE9OGVZPWswXj0FXGk9knRnPdtxVD0MHUg9Jx9FPVpPSD3FZ089VHpAPZ3oTz3U9Vw9XOZBPY9iQT0NC0E9y/lDPZT5Zz1hUH49cJJZPUOSSz0BFkw95cFQPfcXUD0LsEM9UzxMPRcsTD2X3Eg9S69KPY8UTj2e/To92mNCPQ+yQT3zwD49uJ5BPb8cUD2Agk49cUI+PWdjQD0Y6EM9ajNGPVBLQT3pCUE9vnFEPcdMSj2RTkE9Its4PXUSMD2/ekc922dPPcaGST2nH00964dPPZMJTD2C+1M9lghWPfR3WD0WyV09GlNhPYeTUj1XNUw9xBxaPaRgZT0MR189sUdpPUMydj2rqnI9BtV0PdQzYT1Ax189hOFrPdUOYz0uvWc9/CVqPSZ/aD0yzmE9oWNmPTS5Zz3oC2k927JhPTXBaj2JfHY9WkqJPYQvgT3ry3Q917h1Pd9ecz2fMnk9AGR1PTlSgT0T+og9ojiNPZYzfz0WnXM91HZ3PeQThz1UvYw9+GygPW/aoD3tF5g9AnKXPTdJmD08tZM9PTaUPcWUlj116pM97r6TPcGalD27q5I9E0SWPf7/jz3gx5A9Z/KRPTZ5nD0Z9Jo9MPKWPbTNmz0NX5o9wXadPZCZoj15UKg9viSnPawfqT2UUqI9WtubPTZ+lz01G5g9QzWlPa7crD3nLqw9AHayPSACsT0oJqg9f5uePY2gnT1fsp09SNSVPV5Ilz14RJk9ibWSPYe8kj0nWpU95CubPQydnT3aVKE9N76lPSpuqT0VwKo9lFGtPfR2rj35Hq89lZW2PX2ZpT22eag9BO+rPTRaqD1cn6w9vvOuPR9xpz0FH5g9CKqLPbrOiz3ssZA9w0WaPYDQmz2BtaQ98JOtPTM3sD1TSK49RvWqPU0OrD3F5rU9zOC4Pa2uuD11aMI9/wDAPSKVtj21V749LVO1PWH7qT3ZJqw91C+5PemMtz2cDbU9Pc6/PRIdxz2UW8k9mfHOPZ4Nvj3KSqo9Zb6tPdcPtz11xrk9sba0PRrRtj313ac9EnKrPbYJwz3GxMk9r53DPa99sD2fZ6M9sC2XPZ2amT1erJw9w3iyPTyIrD3KE6A9X/qUPaUmkD2OcZM9GEuLPfw4nT1s2aU9hVGmPbgIoT1YaZs9dYOYPaBGmz0PAJc9XlWLPacTjz3ZZ5A93OKLPVPXhj201ZA9ewCUPcCgjz19upY9C/mZPaywoj36bqA9VyWrPQr1sD16XaY9/wymPSBLqD0L66U97/ygPcMToz0YfJs9ZO6YPQVflD2Yt5M9XM2YPUfJlD3aSoM9KaeAPSiXgD1acY49h2+SPXomlD2lhIk9mgyPPTUUkj00TJI9gaSLPa/viz0kJ4M9tnd9PUb7ej3ud249J15kPfQPbj1aiW097bZ2PWLWeD1yFHU9uURnPcZpWT1b62w9ZoR3PUHqeT0wm309c4x0PdELeT0zM2o92KhLPQfZPD2xnDM9j+FAPddsOj2sXUo9dFhZPfSjXz1b3lU9q5BFPQUrSz3ZpUc9ukQ3PdrfLj301S895Js6PcemKz0XrjI9r+5FPRliUz1yeVw9sy5QPUoLUD2/S1E9F91HPdZ5Qz3U1jY9BdQ0PYLNSz3aU089TAtnPRqkcz3YYnY9f9xcPbXTSD0+6D49TmYrPeMKID0mKiE96E8mPRt8Jj2ZJyY9vyg1PQ7hOz2SLz098OFAPa/6Tj1qAFI9VZFEPY+jNj1pwzQ9BHQ9PcPRQj10/Uo9W0dVPVwJTT2UiUk9U0E/PWAULz0NgCk9Ho1FPdAtUz33CFM9uahiPZZ2mz2BLdc9lTUjPl9gMD6S4Ss++vknPh+7Ij4EQR0+t1sXPoSrFj6ofxU+Qe0TPlZADD511gI+S+CEPZr5gDyZFV08BWlgPHNzazygfXk8UkGPPKjsrDzuwKQ8otKjPJ3sqTyz86g89devPOfNtjxQ5LY8IJS4PK/3wDzvWM081e7sPD87NT0oW6M9porTPZWoDD6hu+c9fL0qPSrXSD3+Xu49tlsSPtOwFj4ZmCU+tgMZPgFJJD4D1Ds+6RFbPgZbZz4vykY+zts0PnrUMD6Ygig+reQcPjIhID7gszY+iL9APixZST6o+To+QAYvPjibLz74vTY+FpkzPk/rJD7BKiE+5aMnPs21Jz6aWiA+KacmPnIhLj6kFjY+G5A1PpUaKT765Ck+kDsnPhJPKz5PZS8+CXswPn3LMT61Qi8+g6MQPlJiLz7SETo+GQEkPjF3Ij6GgSs+L3NIPrvsRz7IUEU+F05JPuEnWT63PU8+NCtBPlg2PD5PU0A+IK9BPkJkPz7MvjU+j2IxPkNOQD7p4Tg+FuE3Pny8Nj4lKzc+lYpePnM2az4q+HU+U1tRPtsOLD5laik+tQRsPhv3mj5gYmA+6oU+PqTwRz4vp0Y+X78+Pns6RT7QVT8+cu8sPidDLT6jXzA+lmNAPiY6Qz7y3jk+ujI3Pk1FLz7AiS8+TvY3Pr7HNT6QhR4+4lwqPguuUT5pxFE+Dt82PvASKD73aTQ+NYExPhJ1HT5cbSY+AU4sPhIOPT4xFEg+3hZDPhCGKz4l3ic+EXsxPqH+ND6a+zU+72NBPq4fQT7wLTk+jb0wPtTlLz67MSw+E6YlPraIND5Lmys+7FgvPr3hMz5pSyI+QbomPtXaLT7FBx0+FOkgPphrJj6GmTQ+LZJHPstdND6jky4+MBMsPtp1Iz5lVis+qrA2Pt6iLD7AdDo+nU9FPhwDST6T4zY+ae0nPnxiKj7BxD4+bvxEPgyUNj62bS8+6503Pjr7JT68zR0+E+4lPhCTOD5v1jw+8ncyPnBbKT493Cg+CockPlCvOD6PlmE+Y/QyPuXEOT6rWzs+Zzs/Pvz+RD62Fkg+9GU5Pht5QD7wGEs+HV1KPiyzQD4Frkw+BDMpPtQ6ND65TC8+G7QmPgxTLD4nZjc+MSgiPg9TJj5wLTc+PfA6PpYPOj7WWkU+OYRCPnJ1Nj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8VhaQ9vFSuPScfvj0AxsI9qBu9PRZ/vz1HYcQ9XAOyPW6HnT0Va5c9RCWWPbmqlT2IfpI9mqeQPTLOkz12fpo91h2dPSJDnz0Ccpw9xpqhPUvLoT0I/aE9NGCbPQK1mj0Lg6Q935iYPWR1lz14HpI97SaMPdBhkT0OJpg9g1SNPcb4ez0aXnc98Wx9PYhdgD1p7Yg9zEKSPRPRrD15y5k9vJCPPYCDkj11j5A9Je2GPdtokD0/TZE9TT6KPdpphD3kkHU9LGOBPcHJbz0hdGA9C8NSPUEETT2rRVI9c0FOPZNOWD27O149PLliPb5qWz0JwVo9haGAPR5ocT2tGWY99E1hPdEFXD1TA3U99dp7Pfm8cT0z52U9eQtiPVR7YT0VZWg9r7RmPZaDbT0F33I9wvJ7PYZnfT3kQnU95tdxPaYMZz1xsGY96+NfPaWNWT27cVY9BIBWPSAEVz3k/1M9ihVaPTVCXD32DWQ9pn5XPTj6SD3/GD49zC48PWKDUD1azFY9kfNwPT/Xgj1+QnM9IdN1Pc08dj1YR3M9+vpkPXKTWT1fFWc9VH99PZsYXT2Ga1M9Csw1PTjoMz1vqTQ9+KI6PctTOT2wpjo9B9xAPWKeQT3gHEg9V1JSPUYrVD16dlw98LxXPScKQz01STc91htGPa3uPT3gDkQ9w4lGPTmiQj0Ndlw9IapgPe8mTj28hUc9ov5IPY7RUD12JGE9MlplPQTMTz3uvk89o+JOPbeBRj36JUs9YmtDPRwLRT09wU49ZZJTPZhyWj2PZFI9jSk4Pf8gMT01nDM9fa4yPen0OD2TaTs9xb0/Pb0vSD0cckg9ecpBPaxeRD3paEo9mhVLPbJHSj1lsEc9W6ZHPfb6QT3lNEI9N4ZUPfDFXD0yyFU90gBXPQVAWz0oMFs9KUNVPUgRWj1gtl09RARdPerRXD3qIlo9JtxePUXBZD0GEWU9PG9fPZGPWz1O9FY98TFmPRzOgD2qFnk90VFsPQqMbD38/mw9UX11PWY2bj340HE9XvlzPVlqcj1Y02E9yUxwPcFKdD0gaGs9DjVwPQBhdD3WA4E9gISCPYuzgT0Z3Xw9lqqCPfhRgz01uHQ9L3tuPcG6gT1WDIc9tgeAPSF9gD3uj4c9RW+QPdAklz3Qy5E92qSUPauukD1ST4s9tzmKPbEGiz31Wpg9/a2YPcTrlz0dt5g9L96aPWM8mD3EdJE9qkKTPV8EjT35ao49A86SPWTrkT2xeJo9EbmVPe1Hkz1/qpg9UIGjPRuPnz0UHKY9nMimPaiapD3PRKc9IY2tPVq5sD2i4q89VKS0PUJosj3j7rI9jUe2PWRtqj360aM9dNOhPX6ilz009I899DeTPYK9lD3WVI092jmPPWj1mz1fnJ091V+fPVo8oj1KrqM9b5uePXqcpD2Aeqk9wgKuPVdxsT1AW7A9lDmtPbk1oz1dkaA9rWWcPTQGlT0uz5A9MM2QPTFOhj3n/II9dj2FPXuzkj1+oqM95ne6Pecbuj2MJrs9Ts29PdHIuT305K09oOOpPSf+pT1/uqg9j6S0PdRHuz0X3649DEqtPdpjrz2NQK09aIerPa97uT2OYbY9rsurPWrqqz3E+bQ9Vo64PSwQtT1jLLk9spy1PQfftj1ruLM9Yl2vPQxhrz1MG7s9NMi6PWE7tD0A/L09Yr7BPRB/wD0Vpbw9ETerPcPLpj1iN6094eKpPbEBsT3Pf689hPmhPeq8lj0jjJI9P0OXPbpimz2OELI9H6WwPRwApD0VUp09qliZPcscmT1+/ZY9uzmMPSO7iT1FbpQ9HL+aPcG6mT2oP5M9r6SXPStOlT3ZW5U9roeVPXTnmD3HCpw9jD6ZPXR1oD3fgLM9g+iePXjMnz1TPKQ9AAOnPTieoT2Rk5Y9YmOMPUrjhz1LC4495uCePczPnz0sepY9GaSJPZ1Pjz1LKJQ9H9iXPTyskz1VWpM98o2NPcraij0kl489H72TPcISjD2b74A9s9J0PVEkbT2Wu3E9D653PWr8bj2PIn89K8B/PdfYgT0SJoQ95Bh/PT8ygT3ZZIA9qdt8PSMBej3mkno9tzl/PUa3Zj0MTlo9eQ5WPRNYPz0tRT49zGw8Pc+AQz2yGEM90U5cPSslVD3Nlkw9/uZRPeWbTD0QnUM9o6hLPd75Pj1a2jM9Peo2PdM3OD3tPz893cZLPcsKVT2IAlk9r+JOPQ6NOD2Qm0U9u0RNPZWpOj2o2zE9uY0vPXQdSD32W1s9GY5fPUqgYj3+AFU9J4lMPZwvRT1jxDE928IrPUTaMj1taB899gEZPbEmIz1fiiw97mEuPYHmMT07dzY9Oq03PZ8jQj0QuUY9tU9EPb3nQj1KFUA9nQs/PTyOOz2IgTU9hgYzPbZnOj0jxUM9+JxDPcTKRD3X0Tg9y5k2PbKYSD2QE1M9tak7Pe1+Jz3UTw49QFo3Pbv8Bj5U0js+fbwePsuoFz4Cig0+HfsiPqkJKz7EvxI+nH4TPt08ET74KA4+qvUGPnkeXD2yz148FUhjPMZZZDzIRW08ViGNPEKSojwteK48Xwy6PA7kwzzaY9I8HdTIPEPxvzyChMg8q5LKPHGLxjzh2L883hrFPKEP4jwFheQ8Y4oEPYHTNz2dM2U96oZPPVHk0TwJDr080HG3PYhQID6Puyg+/YYsPitKIj54PBE+Tg84PmnISj6TN1E+tlU1PhtzMT634z4+d7wsPjlNJj4kcyk+Z6YqPj2dOz4rHks+bYZNPtaxNj5+6Sc+deAwPpxwOT7fozY+QPI7PtbNKz5xwCE+30oaPhUFKT7FWSs+0WQuPoSxKD4mqyE+Pp8lPvNhKz60dTM+ARcyPvjtKj6q+SU+CdApPvNRGD5QiiM+Cgc0Ps0uKT4wQC8+hAZCPjfETD4o9E0+23M/PmTNRj66Tkw+SyNIPqh1VD673Gk+YGZYPtlXVz6Sylk+NnFTPtlgND4V2Sc+BCMxPjR3LT7usjM+PEQ2PqVlPz6Xy1Y+w/FbPsb5PD6v0SM+ScMgPss7Nz7wzm0+pK5zPkVOTT6fXDg+wBQ3PmXhNT7pEDY+Q5MtPoZYHD7Q4yI+22gqPklRTT4pZUY+kMcvPkMkNj5CjDs+1vM3PqtANj6pEzg+cIMePsnRJz69/kY+iNI4PqoaLz6VgCw+ycA6Pu1RNj51aiQ+F5A6Pp3DQT7iZ0M+HooyPu+pHj7kIBk+5809Pu79Qj4P/jw+yeQ9Pnd4Jz4jtDM+kHRaPnMdTD583T4+7rQwPu0UHT5cvD8+kc9IPuU8QT63kDc+LAoiPpUEGj5Fpys+Bi4tPlSSIT5EWyE+MCowPiVCNz6rHzE+e4EnPsD8Mz4In0U+vx85PuXNLz6GyCs+WOA8PsvJRD7u9Dw+HpY3PgpcIT7Xexg+EGNGPsxrUD6tlz4+5406Poe2Oj7aXjA+0oEdPghUFD4sBz0+PEBKPimALj6HISE+/7k5Puy3Nz5nwzQ+3MY3PgKoND5vYjg+Xa4wPmPbMT52ezM+1chNPp0mVT5RgU0+urZXPvieQz5JDDc+fzwrPsSgEz6uNhU+SXUTPlGZDj7z5g4+9P0QPog/FD65/Rc+1GcaPjjwFz4RzxY+xe8hPvPCIj7Hmh8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Y0nBPW/Zvz2IGbg9GhWvPULqqT3KBKw9iPWxPaUzpz2HK449ii2BPUlpdz3Lxoc9u5mZPUCFnT0vPbg9E16wPasHqD0pMq098hapPamtkj1xoY89pRGWPSIylj14cJI93HubPXi2iT1SFYI9oXCIPdC6ij3b9Yg9TduBPVjPbz12yIg9n+WDPeNygD0V/n89NfyFPSqGjT0td4o9Yp2CPQfCgD0n74M9mHCIPeXefT3GbW89OzVmPZmIVD2Mv049fTZMPbfyTj0JX2E9YOVmPRxNaD0Gims9uDJpPfLcWD2b01g9BH5RPQiIVj3ttVo9EIxePY2EXj0BlmM9fHRwPak5cD241W49w4VXPWMRaj1riWg94YxCPTqXQz18oGA9y/NvPU9zgT0fs4E9OiN5PRHOaz3N02E9oKtfPY+cXj1WTWo9qgpzPec2WT10vkU9iktGPcXUWD22I2U9zQ5rPcrIYz1zalc9mLRXPTxXUT1dCVI9CfBXPVnIXj1TpGc9VhluPSrtdT38mV49hPlZPSKHeD1vunI90jh1Pckhaz2J+l09yhVwPXflaD2Tolc95RRTPeerUT3N/UY9EeFYPS0PYT05oks94ZxAPbW4OT1QdzE9KX8/PW+WTz1IOVA9APtdPbFmXj3VYV49UjxePQhsUD1oI1g9O1RlPS3pSz01Fks92eJePfJUWT3dnVM9qkBSPao6UD0n9FA9wwBPPTBZSD0Jbk899NxEPQTfSj2AhFM9A2pVPUt8UT2Ygk49yj1QPUNkVD3sjFY9jEFSPbQRRT1t2kY9JcVCPSRORz1vWko9yeNHPQHjTD2CIV89v7ZfPThNVz3y4089Jr9SPSiKSD2COUQ9IDNOPWPqVz3uuWI9QAdTPTlWTT0x8WY9jAhoPUqtXD3YJlg9S8FaPZ6nUD0ivV49cvp5PTstdz1oX3I91YthPVkQWT32GGU95ZtdPbrqZT2IJWs9bEZrPbneYz3KnFw9TchkPfKsZD2BIWM9FeZjPZEfej3u5XY9vNdtPWGAbT2DnW09byl2PaK8dD1SU3c9s513PWGpfD2kqHw9VAB8PWREbz0HF3Q9nLaFPeghjj0SqIk9g3uFPcnTgz09sIY9lNh8PbW7eD3kr4c9UEmLPbpakj0uTZI97HWYPf+xiz25wIc9NziIPSi7iz22NJY9VWKdPQf5lD2KR5s9DIGePSq4pj3wRJk9uF+MPVwSiz2Ioo89Z6OPPSgCmT0xR509Z/ugPeotqD0l9Jk9BBmYPcYgmz0s55w9fNSmPV4rqj2cq649BmmtPQbvpj2uMag9v76yPTdYwD03l8E9ydWyPShDtj00G7o9By25PYHAnT1ML5E9bAeWPWgXmj12rJo9tS6ZPXIwmT0t1589pDGuPeo6qj3ptZ89VdSnPVXhsT1Rzbs9URK3Pa+OuT1OULY9L3uzPYWJqj2GXpw9nW+VPd6akT3E5Is9VwyUPUOMhz3IdIU9Z46RPdDtlj0LjZ09IEqfPSSBoD2PBpg9VRyPPYoHiz2PcZ09owiiPQgzmT3Crps9axecPdFZlz3xJqA9DhOzPZNsrz2kBrY975WwPdUBrj00N689Q4SnPQ0ZtD1LAcI9ko29PWN5sD1s7qo9RdCxPS/hsz0ifa49TnSoPU7xqj1wWak9swawPSy3sj0Zv7M9eZS5Pa4atz1G2rU9xKevPVMurj1j5K099nezPQootD24rbM9X+qmPRAfjj01+ok9SciRPTMHmj0aUZw9MimlPRbapT1vwKc9PCWqPUiGsT3yWq89KjKcPTuTlj2n1ZY90gmSPTzalD3yS5M9fzyLPYgoij0KXow9rTaNPQHcij0S2Jg9NqSYPWLhlD2Lf5Y9nHSdPTRLnT3AoJw9Ws6fPUY7oT1ECJI9WjaLPdPKkT0NF4Y9luCIPWSykT2WpJc9WUOePWQemj3LbZo9B0+ZPdO6lT1qcJQ9UEORPR4aiT067Ig9pt+JPaSRjT3S8oA9I6VgPRx4dj2Sxn49H3aCPeLSgD2F54I9TCaDPU3GiT2As5A9RfKOPY8nhT07soU9rd2EPf2cdT1zLmo9PGhjPZ9xWT0pzks9yXdSPV0VTD2A4k49SEFTPfuOVD2uplI9j0lYPe3AUz1g2Uo9oclNPUQ+Uj1Dhk49/4xMPQamOj32SDs9PFk4PQX1Oj3DIUI9smxMPXuwRz0AnEw9JmhLPYFnRz1rpUY95IBKPR49PT1q70E9CxY+PRwpPD0X9FU9UEhnPVutVz0f2FU9JChAPUnwNT1ebio9uIMgPdYMKz0m4DY9ccwpPSXnIz28JzI9/f5APbQxPT1dbTo92Pc0PfzKMz1wEzc9m9xHPeJBTz0UOEo9um9KPduGPj3KsTU9+dkpPTrhMT2NRj89ZJlJPQ4YRT1XGUQ9K6hEPfOFQj1iBD498wRnPWBBSD2b2HM9uCflPYzg9j33GyA+rUw2PvQ6BT7ybQM+QtALPgHEID5Avic+t4YPPleqDD6XiQw+2JwOPkLgAz4J71U9omNuPEzAdjxn9mg8k15qPI0Qjjx/76Q8Kt2bPEs9oTyQisc8EuDJPM3+zjxryNM8/xfdPB9Q6jwYoOE8hgPZPE6Q0jy2wdc8TcrZPFrc1Txu4uw8I6LQPKKImTwoboo8vh21PDW2kj3WIAs+u5UfPlk4Mz7XL0A+v3M0Ppe+LT6g3jc+y0hFPrWJOz5mcys+w+kpPulFHD4Q9Bo+e+AtPm0hLz6pWDU+N1pKPsfMWD6SVik+tY0bPiTQND6xD0Q+dghMPs+LQz7FTi4+s6AgPgR/FT6xUiM+OaUiPhhLGT71Uyo+XUwqPnAQOj7AZzc+kOopPuQWKD4+gUA+7GBJPivbPj7uKz4+UBgzPvDXCj7mUIs9+7yfPeOauj2zCzM+B8tLPujHOT7GDl4+B8J8PqQCgD7L0Xw+ABNbPlhtPT6JWUs+wCRkPp5zZj5uuUM+frMyPkmqNz5XoDI+GJA+Pt95QT4iCzc+4RIqPilWUj66aWQ+kqAtPvZoIT4OPR4+P/BAPmL8cD4uHHk+KXJdPgXLVT6s6zM+cZEyPvssRD5aNiw+v5YiPlsRHT4ONy4+PyxVPmqzRz7nAUA+/DEnPiW+Jj5ghzY+qqtNPhnQLT6Aljw+6TNHPo6mMT5pQC4+0h41PrYmMz5/ozQ+GtgtPhZEOj5hIj4+GYU9Pr5OMD7QVCY+q30LPkbpOD5sVT4+sck5Pv+0NT4ypyo+KYEsPsaXRz4n9Do+p9oyPqwpLT5X+Ck+CG0jPpwJLz7+YTY+tIQrPkc6IT5wqhk+XEcdPrbiKD5JhB0+QSQTPu8lLj6oHCs+meEqPpe+LD4cBTQ+EJpBPtRJOz6aoi4+35UlPrmJGj5kVRo+R+QZPk2YGj7eijI+mXkwPnusNz47by4+D8QrPvDgNz6O0DY+lz0iPuTAEz6P6xk+DeAyPjXWTz7BETo+s8cxPmeVNz7oJzU++7Q0PgZgOD5IMiQ+vXsoPgHwNj7GGUY+bk1LPm63Uz4VdD0+/ggyPvoCJj6ONxc++qETPrpsBz5xfv09qGALPmZXBz6I9/c9xCHxPTJN9T2C8gI+1REHPvZKBj6F7wo+o98HPvhkCT4Q5RI+0v8VPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3WAqj0UL649oUymPZTQmj0jVJw9ymKaPUjOkT2o7349vBmDPcujkT2ArJc9QviaPauFqT3zM7Q9RriqPX0TnT168aA926yhPUzdnD0BgZY9c4uUPXHUmj2NTpE929WLPYnwmD3JN409vdpsPYZDcj3bGYM9/oGEPb5CcT3KJ2Y9oPh4Pe8+hD15Yoc9yRqIPfyjhD3foIc9Au6JPfo3hz1VKoM9YIh+Pdushz3sH4E9YYJuPZfBgz3FpYI9XgNtPdWsaj2LsFo9a4lnPew/dj1EZ2k91dxwPYf7dT0wp4I9TF16PTiAXT0twWU9ZnBgPWIlWj1xi0k9IxZYPX2tYj178Fs960ZQPW4kUD108GI9f/VcPZcHVz123VI9bmdoPf/mbj1Jx2k94zxtPTL0gz2z4nY9X9liPc95Uj2sBlI9HitcPYY7Zz0WFGQ9W71iPVc0WT2yJGA93ep2PYXHcD2Fz1Q9IaFaPWiZfT01mHU9mPZhPbSSYj1AlmA9LJRkPTNhWj1ocV89glhfPRkRYD1yJXg9j/VdPSWbUT2tclk9QI5rPREDZz3WDWs9zHluPezxZj1tHGw9nxFxPWEtgT2PPHo9/IxLPb84Lj3dIzA9T39APa03UD1/1mM905tfPV07Wj3Ar1Q96DxbPSy5aD2d+V89qB9ZPWihUz2p3lk9RKdmPeUTbz1pal49WgZYPTRrVj2SyFY9lo9VPZ+BVz3dNHA9k5diPdzMUj0X4Us9PnJPPRj4UT1PgUU96NxJPSJkXT1IKV492UBQPfQdPj1HgTo9GZw8PZXiQD3bT0g93ZhIPRDXTD0hxEw9ncpOPa/mXD0tmE89kttKPWqbPj3Le0g9WBJcPZqEZD1MmXI9Og53PbfZeD19HGE9yutlParUbj2v+GU94PJgPf6EVT2uT1c9pjdlPbl8cT34BnE9oI90PXrWZT3yfm49Zw5zPbLdeD3xUoU9SEuFPbW8gj0JtnU9ruN3PYe8cj1pm249K0FzPXWpcD2AK3E9eTB9PS+6dD3U4mk9nL1qPc7paz3yfHI9qdt0PQuZbj20xno9urB3Pc2IeD1DIn49RBt9PaEQgz0Hbo09IdOIPbCNhz04hYY9M1CMPWYZkT0rIYw93eyLPQC0jD3vCpE9kZKWPciWkz2tCoc9Rx2KPSthiz1ynYw95pCQPbuCmT06no09UNGMPVE0jT2g9pQ9jOeiPVpboj3vkpw9BE2fPeDSnT3+HZs9I4mZPQ9UnT0sep09ArKfPchGoz0/yJ891iKfPeWKqj26KbI9NcywPSLnsT0U9LM9SEu4PS4wwD2HdME9cu+1PZhOvz1qjMY9/LXHPd/Rqz2Ht5o9MBybPTdRoT39XaA9UDudPQy/nj3vMZ498WmhPQFSqz1QGKU9S5OnPUyAqz3sQ6Y9L+2nPeIEsT2qt7U9LlvBPbpDxT24jrQ90qCmPY0Rmj0gwJo968WcPRkHlz0DVY89ipKMPXfjjz2F5JE97CyYPULjmD1qIpc9JQCXPQsdkD3/vI89iMaMPSwvjj15gpA9rLaXPY5NmD3oW5k9pealPUNjrz1ejrE9vA23PW1JtD0ddLY9iau3PdljsT2Md609f9erPaB9rD1hf6w98GKsPTC4sT37uLM9HBKvPcj1pT0lFK491uOzPf3Uxz31Ybg9vD+qPbPGpz2jeqQ9vAOkPeIKpz0x2as9OFSwPW1/vD1pdcE9z3rAPRjNtT1kJ5096maYPVWynD37NKE9O86mPRavqj0Qwbc9qaS8PbCaqz1aI6U9FA+aPdpmmz28D549B/idPR68nj1VGpM9rvmJPTrkiD2B74g9zwKNPdOOlD1xZpQ9qZWaPZ0Lmj26vpw98GKaPSoMlT1Kt5k9nE2SPZQ4lj2F+ps9pGKSPR47hj3PLYc9tr6YPVQ7mz1W+p09yRWjPfOnqD2KAKA9vpOHPd2AiD2P8ZE9CeGRPVu1gT1OGW49ejZvPXNvcT3y3nU947VnPX0qYD1Zwl49FPZ0PYwwbz0jv3M9TbR9PSwChT1p/YI9MOGEPUJRgj0bg4A9azaJPckKjD0xWnI9CEtlPSpHZD0kaGI9P/5dPf1gRj0QWFk9voxvPSgddz0kPG49d3ZVPQa1aD160W49SFttPYTLXD17YFs9xHZbPXbfRz3c6D09ahg3PbY8Pz3wT0U9PydMPbGYaz3WX2s9h8tWPXN0Qj033Do9rZ0+PeDROz3r6Dk9kxs4PVxNKz321Ck9IUM6Pc0lST06RDk93iMuPR+MJT12/x09n20cPXdjKz3o2To9LGk/Pe+3PT39cT49FWw+PXqMQD2pO0M9+5tCPQP3RT0LMk49Kf5OPbeXST1erUE9bxdFPa9gQz3SoTg9W5o1PSzrLj3dNDw9WMBGPaSgUz1Kg1Q9PK1RPcjYRT2h0Tw9gZM0PTzwbj370Qs+HvwVPvHFIj7i7yc+cSIYPvd1Aj462QI+GXQDPsV9Dz5Heig+HQEiPnAOBT7K+QI+ykwMPlaaEj4XhvU9Y0cfPQi4YzyObI08gcKOPPzRkDyLfJ48HBmyPKIXtTwxMbc8EVO/PByrwTzBjsQ86LW0PL5OqjzKm7U8Q2OsPGYHrDxxnbI8+0KnPEXuqjxRaQ49E+ORPbyncz22/N88v2iUPKyQzTxuX7M9WQAaPuSjKj6/Akg+42ZEPvhgMT5RgiU+2tcqPltNMz530S0+s5crPqbcKj5kajo+IzE2Pm3sKz5PgC0+i7IpPp4NPz6Eo0g+VVw2PriILz66yCM+b88qPp2jNz6k4Ds+ZP04PiehMj47uSI+SxQuPsjZJz7fTh8+oOs0Pv0eKz6n0yU+fQouPshGQT5r20w+dqlYPp9HSD4hnEA+qrIyPqOc9T0bHR09SWptPMchijzs0pI8kmlpPZJkBD5rITA+mLVpPtd1ez6a1Xc+1VdTPsJ0IT7hJzU+PU9JPgckZz6hY2o+HkU2PjcKNT4Gazo+MQYwPimEPD5ISEI+hohQPn4hRj6V0zg+PPlNPrAcSD7lQzs+w4shPtN9Fz5CRjA+L7U3PjUWPT4yaj0+43Q8Pju3MD4lCSY+xvRFPnxqKT4kyBU+rFkgPlStSD4IDUs+iAM5Pn+JNj7h1k0+d3xSPk/lVD6IPzU+GzM6PgNnPT5HnD4+S/E9PiB2ND7x9Ec+Bq9UPpfDWz7WeVA+JK4/Pv0sND5fDTY+Cm8yPs/ULj4m2i4+yt8oPt5FLD6LHSo+OXoaPu6mKz6jMyc+iJ4ePmo1ID5vLi0+eO8yPi2FFD4yzSM+AL4mPhwlJD4tYy8+wAU4PkoSKz6K2h4+dIsiPqQ9KD5vxyc+s60kPs2oMz6oPEI+wckvPgT2Mj7B0D8+NOYvPsRuRT5DKjY+IHEfPoTJLD6FSCk+ZgkiPnGcND77OTY+xEYwPgI/JD6Usx8+IPskPvRlHj69aRg+qJM2PoBAQD5tClM+jog5PvMuKT7+FjI+BHY2PlPNOj4mKz8+c6Y1PjyKMD6BXys+2LYuPl2VKz4+8kM+jxtcPmeMMz6KbRs+LagXPtZzGz7h3BU+G3UEPulcDD5NXws+g3kYPn8GIT4IpB4+9METPjIOET57rRg+2h8vPoL1LT6ZADI+DlZsPhODkT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+HxJE9akGNPWWrkj2Ij5k9SaqZPS6XjT0ce4o9KaGTPTS5lD1mLo897pGTPfA7lT3Jc5o9bYKfPYthjj1Mko49cWqhPXFipD3gNp09Dq+mPUvSpz0uxp49PmmGPeAHij2DSYU9CMOIPeeqhD0t7YA91uSDPWfqjj0mv5E9Os+UPWdIhz1lh309JCeFPXewjD01eY49xauLPdsfjD36MY49c0mQPYMJjD3taoo9y3KQPcollz0F45U917KHPYlsfT1Cjn09dgt1PfVPjT2jWIw9Kax2PYS+aj2B3mc9xElnPRi8Yz2KR1c9WMNlPV5ucD1oUm09mwlmPb9paT11+1s9ZLJcPfD8Vz3Uw1M948lYPZqnTz2zC1Y9JglZPRi6WT01rGQ94zVnPYxkbD2gcmc9mMpXPVCNTD2HvE09jTRNPUZhUz23DVQ9g3tSPU3jVD0C1FM9wMdWPUAYXD3hPl89S6FfPaC4Vz0NIFE9VstWPdxNZj1wnl09UC5cPShaaT1o+Xo9EddvPc0jcD3vym49DBZwPQlsaz0lVWQ9I2RUPU2fUT0O/VI94IVkPdKOgD2aIoQ96xh6PRF5bj39WEw9MfdAPT3sSz2dclE9Z09ZPTPhXT1os2Q90WVsPcUkbD3yqFk99bVOPWmnST1CL049HNlZPcxaXD1VFl49ncRTPSyPWz0wPGI9nCNQPSLJRj0Ww1I9fMVQPZD0VT3eYmQ9UL9oPd1cXj03a149BOFePXwBZj0I6mo9rPVCPT+VOD1X6lE9rzJIPfV3RT3mVlQ95x1UPUD4TD2+mEw9ColBPTsLRT2Fe2A98NhoPVZcYT1YaFw99yxbPTB1WT0UPks9DBRYPWZFaT35EnA9YIR0PfAHaj3kS1k9vWJkPRkWYD0qhWA9KuFjPSk3ZT11amo9mGJ+PXYYcD2NKGY9rNJxPeYedD06WXI9pnZuPdnobj0JjnA97EZ2PS9rhz1ex4g9YVh9PRhrgD0FI349Tr2GPUP+iD37O4c90n9/PaUShj2piog9saWEPSWWeT3UOHY9KXt4PfVbfz36c2491yhzPaxSZj2ZbmQ9Lv54PdX7jD1E4I49FGiNPX8Biz0ABJU9emudPctMmz2FmJ49Zt6YPZ5plT2B6po9hF2XPUAPjT2vPYs9ZM6QPZA6fz1ovIY977GJPTkJkz0T9509p4CjPea0lj0mzY89OQOSPbunnj02Z5s9WZmXPcIAlz1HyqA9FWabPX5HoT2BMKU9mTqbPfM5mD3jsqQ9S2GlPUrSoz14CKs92n23PYM0xj0rB7M9bcOvPdt2sj1IVq49E1zDPQnGvT3N/7Y9TsGuPQU+oT2GgJU9N56gPSWkoj0kkqE9kxCnPaQDpT2Dm5s9j/KjPThcqj3oYKg9hFyiPf37nj3km6o9GUzBPZB0uz2VHbg932i+PeiLwT11hLk9yXapPS3Hmj1LHqE9iRKbPRhOjz1/MYw93CGIPV59jT227JM9bZ+XPVZ6mD200pA9H4OLPTH/hD2HE4s9MNubPbwHoz0sMK89UF+cPY6TmT2ewZk9kVSgPZpApD053Kg9yLezPU0xwz17Sr89YkmsPVw0pz0RQ689yGCwPT/Utz0gVbw9Fem3Peivsz0OP649RLevPWHApD1gsKU9xEOuPZggrj3ula49UI2tPWYvsT3v96c9TEKrPZkbsT0bRrQ9+fO9Pb31wj1wHbM9jXadPVZ4qT2AlKw9neGyPXBCsj1D6qc9ZUOmPY7Rpz1cWKg9uberPaU3qD2ey5s9IOqZPR1Gmz1ggZo9JdeRPdRXkT0/0pk9fpSPPdiJiT0Fq4g957aPPXEMkj0F0pg9OmuoPe10pD1sppo9+piWPdNojj0XE4k9CjmNPfESmT14KaI99viePcsVlT39uZY9luaSPR5Qlz3lIp09tNyfPWDypj0Icp49+u+VPdNClD294Io9m96BPTrtfD07nHE9+lJoPQH7cT2vdn8915J/PTYteT02VHw9WQOEPW36jT0mcYc9s4B7PcNbaD1oInE96slxPcCQcD1+vYc9WKKTPYuumz0XMZw9wp6APTtQZT0Ld2U9Y5plPU97YD0dMWM9xTlvPelmfD1PS4A9znJ+Pb33cD3qiWg9bftVPQKFRD3OqEw9L0pPPZK/Uz3RW0M9uWNMPaFUXj1K4mY99GNmPcUxWj0sH0w9OhtUPSA9QT26lS89WaAsPXWKMj3sskI9Dyw7PVWQKD2ucCI9jf4lPbrWKD155jk9BFs3PRimNz3WvTM9YREzPQw9NT0HQkI9/3VAPfeSQz1i40Q9XrFAPcGKPj1LZzs96CBFPadxRj3UB1c9MuhbPcGNWT0MLkE9hvcqPbeGKT3knzU9e9lEPRQ1SD1dfFI96y1NPagpRT1gEj49uucmPaWDIT0lPhs9kYohPTOrJj2dMTU98X3NPWBjVD6OYFA+RHUwPiRLED4jow4+rdoaPkYjFj5+Ihk+Xb0mPhxqJD6FOxI+zUITPjToFz6Rwxg+8/fSPX0P5DzwiWg8T9GhPA9okzz4CY48N3KHPJRUjzzSoKc8WrSuPCMypTz7iKU8o6ejPLyimDzDlZc8SlKRPOTWlDxPMaM8NBavPJQDuzxH+r48poy5POUgtjzSKKs8EyagPBYfmjy7tqY8OQhMPfXntD3stb49VUX4PfG8MT5tnDA+RuUlPixRID6jPBo++GMdPuqeJD6XsCs+u6k0PvwuOD5jPjU+xfYqPgHdID4nBzQ+dHtcPjtPSj5wBzU+orslPjt9IT4sxxs+918cPq4DND6rpTg+224yPue5Nz7vwh8+3wIvPvJOOz6syiA+ALwUPrIVHj79Q1U+eqmCPoqLgD74a00+BNk5Pol0PT6XATI+y5C6PQqLyzw914E8co59PHHMfjzq7Aw99fknPmfNrT5mWN8+kLrnPo2Qlz5hjiw+85A1PtCCPD6Fo08+V8RiPjNQWj5B0y4+jPAtPpI2MT6ilVQ+SKlcPriqWT7ZtUw+nnhFPtsKPD46FDI+JEk0PhPCMj75wTA+MT82PkOjKT6cITc+NRg+Pn03PD7RSjs+xa04PpUWKz42miY+3DctPkixMj53v0I+/EtJPgDXTT4V7GA+nKk2Pi/zPT5uj00+3FQ3PigLRD7Vq0s+SW8wPjo/MD7k1SI+F04mPtFIRz4IKmM+DJVmPjwTXj53mEA+58IgPpWfGj7LdCM+spk7PsWMPT5UvTI+8lMxPk94Pz43tyE+cw41PobsNT4FgCY+t34gPkRLKj6B0io+Gy8vPjRNLz41Myw+j6QvPp3VNj6u4DI+vC05PskZQD7Gnjk+sWw4PlIhLD6jEEk+xm87Pk+jJD604T0+RUdaPufXHz4QdB8+mrcjPgLuIT7SIyU+TPQkPve7Pj5Ca1A+IvRDPpHaPT64oTM+vn4tPjrZJz57aSY+824qPnYOIz7mCx8+BxgpPmj+NT4VyjA+fy0vPgowIT6dGxc+tjsXPiK/JT75qTI+NiJFPiyGQD5IJD8+PsQ8Pjx+Tz7BPj8+cWY2PhD+OD6VhDg+SdQ1PrJ9GD6L/BI+n8YTPm/kGT5qZDs+mLJCPmKiQj4to0E+zNlEPqGKRD7DoFU+tyFaPkWyXD5UyFc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8P94c9fz+GPQpMjD2sOpY9pGGgPUXSnz3aoZ09zCqZPTL5nz0GGKc9F8SfPftvmz3OMZY9hI6SPRNCnD24LJ89DzCkPfRFqT3reqA9iXGfPSWLrD2RhbI9FJOcPRfQkT0wupA9vSKQPSiDgD1fi4o90hGOPdmWhz1MlpY9tv6ePR1Ulj127JQ9JJWRPafvlj0Z+J09+0CVPVN1ij1Ecos9nceVPbPtmD1Vrpk9pLyXPZRDlT1gi5E93aiTPVRCkz2AdI49sgF3PYaGgT3Ycow9ZhOGPRaBaD2eV2I9R9dcPcu+Wz3TNlw9c49ZPRtdZj3Wu4w9XImFPdlcgz1Y7YM9qTOIPVxXgz0McnA9SWVGPW4MRD0jXlA9UfZTPbIbQj0BAUw9vxJXPftKUz2wO0g9udJGPe2tSz1gZls98rlOPcVcRz32/kI9yjJCPbIuSj0XNlw9fHFuPYnPaj2D/WI9yrVYPQxLYT1n42A9jyNzPf0/dj1pG3M9HoJoPdzdbT23e349ro1yPS2KaD1Pk2c90IlkPW3rdT2oB3Q9iSp6PdJSaj1wkGQ9yalmPTYLfT1e8FY9U3NjPUAOcT3O7nc9Y414PW/kdz0bc4Q9afGGPbWDiz18vII9HJd2PQywaj3eK1A9T9A2Pe1/Uj3thmY9GnxqPYx3Vz1JzVM9iLFdPRGTUD3rO0Y9MQdNPWrVVD3GIFc9IudiPYC7YT0SoGg9IihmPVaxUj34kFo97IZcPWNZVj0XvGA9gKBYPeSSRj1b/kU9b5xbPSX2Zj1Mo2w9Pc1kPbG9XD06QmI9h1NWPfceWT152Vs9dbZaPdZjYD324Gg9LCFfPTJpXj1YVWA921dbPUuhTD3bkF89C312PSLEeD3a+GQ9JaxfPUkeZj1nT3A9ev5rPSjFWj2G7WY918B6PSN3aj35km09xDh8PfL5fj0EhXk9fKd3PdgQfD1/K4I9bNF7PcFDgT1Mjnw9M1mFPQ4Zgj2j1YU9/qWCPQYlgT14xYA9V+l+PcPLdz1Tv3k95jaAPTbvaz0+Nlw9UmpNPfdUTj2uEFc9o5RsPRkigT1ARn49FDJuPQuNdj1WCIQ9oJ+EPXmWjT3E3pI9WkadPQf5nT0MPZk9hq+UPSeRiD2qZoA9BGyKPfCWiT35o4U9v7yCPYXfhz2wyo49vDiWPXPrkT2fBpQ90hCTPaV1lz2QX6Y9ilafPcMCpD2lHKM9LPGdPYvmpD2nS6Y9xuehPe3wmj3YG589ie6mPWbemj31+5U9GEmnPZCjsD0Nt6s9TCSwPXtmuT2IzLM98gmuPYMPsj3zcrY9wOCtPdeTsT3Sb7E9SrSmPV06pj3Y5aM9IiSXPdvUmj3nyKQ9suCmPVmnsz0Gr709RmC0PWUwqz24IaY9B4SgPQ0ypz3nU6g9WBu2PQQ4wD3Tt7g9Ezy5PVHfsD2vzbI9iBLLPbP2rj39L6g99XSlPRMzlD3MDZA9F+KRPbdzlT3gTJc9krmVPa4tmD2W4po9k6ydPXrnlT0M8pE9r1ibPRtbpj1386491A2uPY7mmz2scJo9SIWdPWqnqj2+XLE9X2eyPbvjrz0B+b49ikjEPWK0uD0T8bk9Nmy9PfpVyj2Qz8Y9oJW4PelWqz0uSa49huetPSOUpz3OCqk9TK6xPZqItj3XmLA9VBysPVMsnz0cs6c9/W+0PQs5yT3cZNM9Ub/WPYmT2D3ywrg9aOGnPWEpqj0C6649h8+0PZdutz2/trA9YliqPbE8tD3Lhak9h/miPbr0oj0tTKY9amynPbhopD1qGJQ9wy+HPRe8gT17tII94zSUPcLBmD1UE5E92LKZPdrkmD3ktJQ9BKGYPU0Ulz2cpYs9+tSLPSv2iT1GnY09IgyTPVYpkT0VhpE9aUSVPSwRlT0zy5M9vqGQPR6ijz08C5s9TkSiPdhynD2kB589nc6ePZdokD2Z7IY94FyBPZlXdD2zVng9G3V7PWMZeT25p4A9zImEPYkciD2qjIQ9FIOHPbBwij37u449LB2GPeO6dD2q+HM9x7l2PcORhD3P1o4932+NPck6jz0fkY89zzKFPQGTZz2W2lc9DmtbPSXhXz2mJl09Kt5gPdjVaz19c4A9iHB3PWJxaD0jFGY9UXlQPRlFRD1BW009wfZNPXxfUT0RblE9Lk9fPSWxaz2/E2E9xW1iPWVyWz3i4VY9HuU+PacrNz1V/ys9vtIkPfkMKz2cci0994Y8PRh9OD2s+S09HYQnPZc5LD2a2C89IFY/PRbKLj3g3TI9a14+PX4yQz2vY0M9YhxJPVkAUj0dTjo9clQyPX1WOj3on0M9g6dWPZeAUD2pP049WCZNPXzBPT3Ebik97lUmPZqfKD0NrjU9KKU+PSrxPz3UL0I9p+9APVBdOD0wTCc9zoMZPW1HFz3P3Bg987IaPU13Hz3HOCQ950M1Pb80hT2srw4+ZBojPkxgLj5ZcxU+CyEaPl60Hj5Omhw+dFYcPnlAIT5gaic+LjIiPvK8Fz6XTxs+3O8WPsGW/j0lCFI9gT53PERvZzwkIXQ8DBaHPAqblTybqaw8SKK7PCA7hzzA9ls83ehTPP/CWzxYZXk8Ot2QPNYHjzyyE4g86keRPETD1DyvT3I9ej+uPdEtbT3fCcI8sr+BPNM+gjz6DMU89GwWPYjnvDzrb1U84wRnPMnb6jzlpvc9d0YvPipsID6iJyY+fjUvPqrHLD4FnDM+4+wUPmKZFD55syQ+z4Q0PtguLD6Rzis+D6ZePkauRz7wMCo+6rI0PvI5Pj6UkCY+OZs2PpRkLz6igi0+UmE0Pn/fMz7/vUc+vqQ/PshiIz7lZxc+CNshPjRQJT6egCI+ItNAPpngZT6h+Xc+Z6BbPgQYTT4SO0I+6wglPlkJiD0KrbQ8EhqbPGRvizzKVm883ROuPACf3D3EuJ8+21XfPiP+mz5VZYA+d/wzPtwaNz488kU+LI9KPpogbT7ODmg+ckVIPpzLST4J60M+GwNnPlMjVj4awFM+TKVPPrKuPT6cgTQ+NNAvPmRgJD5G4Cc+R/I7Pk70PT6R90M+EHAyPtlPKj4bIC0+hzM7Pme9Qj7n9Do+xL1MPm2eUz4Fm0c+BD43PkMLMj7+CEA+69BOPv3RQD70GzU+rWM7Ph/POD5Ng0g+y11ePl04Pj78RkA+2gg4PizRKj7MHDc+J0tLPiKBVz6OJUM+11koPpIbGD4cDyQ+Pic/Ph6lWT52kEM+FYA4Pu4ZMz6ezDU+8UMfPvvnKz6BmiY+fQEcPkcHHj5s1TE+RMItPgulJT5aDzY+sAw9PsevRT4cZDQ+mnQ1Pmc9Nj4rRio+eCApPqRsMz5wFjE+5lQuPqW2KT51viM++cQhPo/cLD4x0Sc+VKgpPjlnKD5QpCA+7zIlPgLiJT5D0D4+EDBEPo9aND4iRzQ+SxkuPhk0OD6Lwz4+n7AvPlcgMD7INjE+ZAwtPu4PLD6hRSY+0wAxPvP2HD6XaQs+mID8PT198z1E9xY+KSQ3Pq1kRD7C2Ts+OV41PmuIND6yFTk+v7UQPuVp0z0usQc+en8qPkTELz43NiM+I3sdPuLVHj57qjA+r3tEPrKHRz6hv0U+UrBEPontPz6ZnUI+qZ1KPqb9TD6l0VA+CW5KPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/JaWWPSWllj1e65o9IOuRPRcqkz3pqKI9tqSsPZ4iqz1LdLA9YEy1PQECrz0scaU9TneXPSmNjj3+nqA9ZiipPeAroD3n46Q9dnexPXb2sz3zJa09CKG4Pdi0wD0Vc8I9ApqtPbtJnD0OGZU9Ah6QPUtMkD3WKZA9yFqUPcRCjD3oNYo9ExaYPXuamD3CMJQ9kGCaPSWrjD1jiog9H9+NPeQvlD0a3pQ9oM2cPXuBlT0GrpE981uKPU6kmz11lZk9eWeKPTt8gj3yAoE9RSGAPScIhD0CHYQ9DRh9PbHAfT0wwYI9CSyGPVL9gz1DFIQ93ieOPSsSkz1/MYM9cbF+PUhoaj2XwV09ynBLPcQ0Rz0A3k09wt9OPYbgTj0XYFQ9nmZPPYnVPz0bXUA9HSxGPSzPTD1tN089Ed5TPWc6TD0FdEw9oTlTPYt5Wj0PFlM96XhnPZIpbD2ZcVI9ctRQPRQYZD0HHYY9RWh6PXhjYD3pxlk9P9tWPX3vXT3Scn09CDCNPehPcT347Gg9EB1aPfaYWz1wlmA9l6tjPdDDYj1w6Fg9wthXPX7TWT2oTGo9bqlfPbXFfD3fZYw9n8uSPSy+jz2Rr4E9uTdxPbPscz1AZVQ9lXVKPdT/WD28OFQ92WtbPZxzVD2KAVQ9aiJjPd4oaj1DYlw9ZmhkPWyobD1AwGk9p5pjPYyxZz29wVw9pWlUPVGdZz10wWA9+A5cPbGvYz0o/mc9PBxwPUbLbT0S+189r4lePT/wYz2bO3U9+m1wPayKXD2Ng1c9VGJmPa0TbD3UDWc9z+ppPV86dz0wFnM9QZ1sPVhebD1UIlg9rZFfPYWFaj0wcGM9HmFkPWalZj3XdWs9ERljPWifZD1HjGU9RZ5sPRxgcj23YGg9KJl9PXNfej3XNHQ9vONoPY+tbj2nAG89I4d1PTawhT37TIY9NnuBPTDThz3BIos9FgCPPcbmjD3cvIQ9aBSJPWA/lT3PP5U979iNPUAqhD13aH89++GDPQcLhj3jKoY9EPOEPSpLhD0rDH09KLR2PX+XdT3qyXo9Bi59PQOedT2p+3o9dpt0PfRMfD3hWH895Mh+PRbEhT1skIo9+4mGPaZzjz0wR4893IqLPcd0gz15x4A9x2yCPeSigz01Q5E9yUaTPXjvkz3VwZI95xmPPbi1mz33IKM9Ii6dPRp3kz3G4Zc9Be6ZPc6Qnj0TU6A955KhPSuDpD3vka09gwerPWxnpj39Jqc9FxGpPaPspD32x5o95oeaPXdapz1NDK49X9KvPV17tT3mb7Y9V5CjPWuSoz0ruKQ9aZKlPTklnz0lAqA9wV+gPQVroT1N4KM9ZEqfPY39oD0J8Kc9jwavPcKdsz0zM789D4fCPeksuT3CYsA9PVG9PW/VuD2wJrE9pBqsPWDNxj27gr094VW+PfpMxT0/4sU9S5zDPbKqvj2baaY9aL+oPWOBrD2wsKA9shmZPXWqkj2EbZo9CgucPTs6lz2eLJU93bqePZIMoj2+hKg9x1WlPStXoj14eaY9mrW0PbmOtD1seag9ViSoPcg5qj1FSao9CsqoPeulqD1Xcqk9WhCwPWkSsz2lU6k9RW2mPcchqT02ibo9RjW+PalGsT3dfas9Y7a7PVAmvD2L27Q9idS1PQeKqT1Ax6c98COrPRN4pj1mip091KGjPVtrvD0p8c09JOa3PW2otD1pT7Q9LGm5PUG9tz0jFqg9+1CmPVrLrT3Gx7A9G8u1PZrLqT3XfKE9k7ChPcECrT3CY689gHGxPavUpz21zZ09JzqMPYWTjj3YDZI98i2WPU1aoT094KA9DWiePQUXoT2VBZs9R8SRPaollj1gHZQ9ZNWGPRE/kD2+qZU9Aq6iPSi1qD1/S5s9mtuXPa6zoj23kag9n3imPbKqoD1nBKA9tf2ePQGBnT06fpQ9w/uPPe2biT0zS4U9iJOBPb/5gz0yNoI9OpOJPXhdkD3udo09KqqKPXh2kT0L7pg9xouTPdy2kD1aT449cL+KPacEhT1cRoM9G9iKPQD2jz0ghYY9ZwyAPZukgD3IeoQ9zGl8PUnoez1Tunk9tCZ1PeXkcD2oCG89pflxPVY6bT0H9l89cmZbPS6fZT08PGk9FMBmPa0qXj090Vs9kg1cPRfVaD3Ks3o9KGh/PXozij0EAoQ9iztsPZaBWD2BwEU9DgFAPbv2MD3iATU9gRk2PSEIND3cTzk9z9s5PaVyKD019Sw9JQ00PTcGOT2eZzk91do5PW78Oz2NKD09L1RGPRCXQj0Wb0w9ij9EPWesQT2b9UU9T2NBPY71Oz1P9Dg9SNM6PaukOD1iATY91uc/Pe2/QT2+ZTQ9tGgqPR0TKT0XzSY9ZtgqPQy2Nz2Rf0o9j7NJPbtPQj3BCDA9P5YsPSt/Jj2iuCo9b8o8PTrpPT3qeEE9FJE/PYyqNz3Jy7U910QRPjPAFj71DSE+BCYiPiHtHT4QXhk+ilgbPrt8Gj7s9h4+W/UcPmOXDj7+9BA+XGMaPhFkED53ZAI+tbqmPYDG4jziSlE84puuPAIPFj2DCm89OQW2PVoizj2aqn89QMelPFDcCzxPLCo8YbFePLcbgDyU2Y08neasPNq37zxNAIw9FBgQPp5pIz5dVw8+Tjb+PVUOAT4k2AE+lvEAPpoOAj7M0Vc9bUI0PBxPSTzTL5o8AgKlPSwhLD6c5DQ+nlQpPnMpMz4gXjU+IWYwPizaHj4bMig+aVIrPs99JD422CA+VYYUPlRmLT7ejTI+rognPplyLz4tGzg+qyMkPlBdPT4aDEQ+n2g/PugAND6FczA+OeA5PqxBQj7YSDs+m5MqPhpeHT4TXhc+qpMTPpw8HD6OdzE+moM+PrCEPz525EY+PORDPhdlGz66SHY96TyCPBbpWzxJpks83kN/PJTyaj3D8BE+Gr1iPpLmdD4T9FY+Df5OPnZEPj6esU4+ZZxSPgm2Qz5ytkA+v8dCPj6DWj4yP1s+iq89PsuyRz5w0Dw+VM88PihjQD6HUTk+fk4yPpmnOD6zECY+R70rPsnQQT4UrTk+SX4zPrDRNT4a1T0+mo06Ps95ND7fAi0+gdQ3Pv7JUT5XR0c+gpcwPiu6LD5Ajy0+4ckyPhuhbj4OcYI+ntcyPvsNMj4PFkA+w0l0PuvWUT7jIyE+DE8yPkUXJz6cqR0+xvRJPpABZj4sEjY+YdQUPli9Dj62JBU+fDIpPuJtPz7URmA+LSpCPnpdPT6iNj0+IrAvPoQjQj4pmzo+Iq4sPmh+Jj6cHBo+GG8bPmX2Jj6YmCo+yOQvPjehMD59uCc+i0AmPi58LT7xZDU+SFciPv6OHz6bHTM+L71FPg0ZKj40dyc+B/IdPiHaHD5v2ig+UiQpPokzMD493yg+tmAxPlM7NT7EDTA+KlojPqAfKj7Z6SE+St8sPmnTMj7cpzo+xlk2PjZ0Jz5uMjo+EGtDPsuTPj6q8Dw+eQYoPu1sDD6qzAA+Bm4EPrpY+D3i9fM9DtIKPg41NT4yIUI+j6gxPp7xJz5mXiY+ICwlPsujEz7hMfU9t6T7Pe3tKD7tizI+PvYuPowgLT7I4i4+LiA+PoKrOT4z8To+2+g9PnUoRz50kEw+n5RFPsgaPD5fykE+FSFDPg/aPz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9Alpz0VBaQ9ev+ePSTomz2F+KY9P2qkPYG3pT3hdaI9BbuePUsVrz08Sq09tjaqPaWhpj1ntp89zmedPVWaqD2Lcqg95KmXPSq0nT39m6k901SsPb3qsD0Qgq49pnyrPa2llT2XyZ09EgKkPSwNlT2dB4M9Y0GLPb/BlD15CZU91OiVPUzSnj3x6ZM9IlaHPWNOij1g9Y09F9mEPQCTgT14AXI9yFd/PX/Vhz2Wy4I9lptyPbBKeT0LJYA9CmqEPZyDgz1NBoM92RtzPV9Ycz1hiHw9GbV0PRWSaz1LpXU9nhqKPfGxhj0r23c9FS9nPUBjWT3ua1k9bg9OPSKpSj2KakU9oaxFPf4+Rz2ibFE9WdxOPTrkUD2dAVg9WaxYPSBDUT1UAkE9Tk43Pb+lPT2tUU89SpdYPXnpYD1fPF49/11wPQLZdz2WEmw9mSRWPc1OXT1vpEs9TotdPehRaj1dE249XchqPZgOWT1xXmE9WBl1PRc9gT0TQoY9yZeGPSy/fT1qAFI9BLVZPWzZWD2/7Fg9l3lXPfvdVD1nIFE9WCZcPdrlbT2Zj3Q99GRzPSqsbz1TK3M9BVhoPWYaZT2qZ2g9K4hoPUfRTj1AWz89UJ1FPRl6ZD3Aq249krpXPfFQcT11zl89y1NaPR3JVz0KjVI9OzhmPa+udz07qGw9kRVdPa9qYT2HP1s9nUlXPUgUZD2P0WU9iClePRJdZj12oGc978Z1Pcifcj2H01o90p5dPU3QYT3xoWI9rbBXPcxuWD2M71w9QudiPd2cdD0IL3k9LVJxPcFbdD1zAYo9JRiGPSXmZj2sIGA9HFpiPRl5az3IGWU9WaljPVfyXD2PP189VvltPU9hgD1GtXc9tpdsPRtEZj1WznU9xC56Pa9agD3a3Xg9oZ93PYSEaj19l2o9vmxtPR2edD19LXQ9UD+EPfyrlz1BuI49EM2NPXPojD2J0Jc9ciaXPYQhlj2Iz5M9/waSPeQDij3tDoo917qIPV3Fhz3CSIw97TmLPbfkjj3T2pI9kyWMPWRahz1CFYY9ZgCHPZOThD1r5Xs9+0V1PdoadT18P4M9hMmNPYEFjz2DJZI9+OOXPROKlD2R1og9ZZqJPS15jD3DvYw9glGKPbBlmT2TRJ89EzqaPZIEmT2sp5E9NaCbPT9BoD0dyZs9qSekPVnRpD0nU6Y9SiukPZPMoj32uKQ9LaGlPQyOqj2Xqak97qGgPYsmnT0UjJ491QKtPQF0uD1wHa49Dq2UPYCUmT3Tgp89tQibPVwHlz0VkJ89GtqnPTEfrj20X6s9WnmvPRqNrD0fc6c96TWjPcdMpz2DKqc9QImnPdqlrD3xJLI9evu7Pc9vuz0f4bw9nAvAPTclvj3pcrU9nii3PRg9sz1/Fa49x0uzPdXMtz0G+LI9AIXCPXl+xz3w8b09ohK7PfcyuD1YwbE9X5uxPYgQrj1cEaI9jKmgPXzQnz0FQ6A9OISjPZIuoj3+yZs9YsebPVs+oz2FjJs9yZilPYpvqT3BuqY9vw+vPR7ltj3nD7Y9MdKiPS1Mnj3ra5094cSXPYaOlT3BE5k9mZyhPfWnsT1/las9ByumPQrOsz1+27g97xe+PUE5uz0pWKs9LkevPaZ0vT12NrA9/memPSzjqD1yeqQ9UAarPdEvtz0mgKk9D9+oPUIJrT3Zxbk9JE66PYousD1etqs91muvPSdJuj1U+rU9/6WiPZK2nj2d/549ivShPSH5pz1pcqM9F0eZPbseoT2PFqk96L6rPYrarD3dFJM9R7WBPSNHgz2gOpE9YCOgPWM1qj0jSqs9V4SdPfezlD3v6og961eIPeOBhD05CpI9GT6UPRUJkz3WT5w9O7GYPUYzmj28MqM9raufPc0Xoz1HG6c9gSilPSnQqD2r2q49j6qePUpxlj1eRJA9DUmRPV8ekD0XEIo9SK6LPVL+iz2ulJA9QqiWPYr1mz2JXZk9qe+QPY3bjD0JF4c9kIeGPecQiD2s0pQ9HSKYPTyAnD2DHo89nT6WPfgMmj1sZJc9oTaDPTlkcD3wK2Q9s4psPa9McD0Jvng9Xul/PbP/bj2NynA9ytNyPQPNcj0JCWk9nZFcPVjgWT3PEVo9eE1KPS4iRD2HeU89nARYPeMWVT3722U9hG58PfSGgT1M6mY9jC9HPb9BUD13vFU9naRHPUzVSj3Uoks9zDdBPfucRD1pkUw9p/5CPbCNPD3RzDE90uAoPcgUMj3yyDc9z9ozPUTNTD31L1E9vhJTPe/2RT0/dTo9OcE9PWG9Qj2AVkA9lVQ9PXL1Qj1zkjQ9OgorPVRALD2C1Sw9u3YtPUruLz0laTA9NU0sPYJfMj3yjTg9PR48PcsmPT07lTk9kG0vPdMeJD2IMDM9rwJCPYEwTz01Azc9i6wzPZJ9QT1UzT49WbA4PcfrIz1G3Ec9mpX/PSVuHz5fNRo+e0sdPhn1HD5ggxI+lA4OPkxgDz4gYBU+ocUhPkuAKD6CdyA++gAdPsZ4Fz5+xBE+dqD9PY1NbD1BLaM814vRPKgoqj2aDgE+Sc0PPjEZFT58iw8+crsLPmMAqD3piJU8ynJHPCDAbzwra4A8YI6XPCGiRD1GteA998IQPhITGz5JkTM+p3w4PgntMT64qTU+cQ05PpjQMD5BgiY+mfLMPQDy0zzLev07+MrqO1NSdT2drjE+aNciPuORIT46iCo+kccsPsgCLT7JsSI+4TIlPkYUKT4lgiI+YEIdPmjAHj48Hxg+JU4vPuRSMD72wyI+m28bPnIrFz50Sjo+8lxLPpgQNj7hVTM+wssrPkZcKT6ztSo+jY8zPsS7OT507TQ+RqkkPgloID67VB0+Yv8hPh1WJD62eDM+hL88Pn3tPT5BCTM+o0/kPVS+Wj1F/uE8FVCUPDIz4DxuQdY96QAaPpGQJT5jZTs+attbPkzoWT6ksE4+q+1ePn2tVz4x4F4+pLxkPqzuTD5U6lI+1GNDPqadMD4HTTU+/fY1PhWDPj6CVEI+gRZOPvNNNj5lgC4+BpwkPqbbKT6kFS4+pPIwPldQMj5enkU+4ndFPrr6Sj58N0I+Z1YkPhSiMz6c6mM+9FdIPr8CIT634zA+WiM/PjI3JD760j0++ZRxPoZ8Wj6xv0k++Eg9Pu5hSz4C5C8+IR0bPrxbIT50kCQ+rt0uPhDlQj6dfVk+ThIyPrhgJj4HQyQ+OYsjPpbWEz6zfiY+QZJRPi2NRD5UijY+XUpGPoekOT7Px0U+iuk8Ph9bLz7lOC0+QXUiPjBQED4h1Tk+6HknPqHbJT70dys+9ko4PrtuVj5UUHc+CU5iPpGhVD6mhko+8twqPhbQKT6Bgy8+1HA9PixrMz6k5DI+1XQ4Pv8LQD5ywCc+maQWPgizJT61pjo+/hc+PvZ9Jj4feTE+Og8rPhXWIT4XChI+jQgMPqwJGz4UZB8+sEMwPt2YLz6sNC8+7eEvPtFLFz4VVQk+0/AZPvRDFD4kbhA+IfkQPo0rFj5Zmzk+5Lc/Pl7iMj5VXCk+pV4nPkmEJj4gVTc+pcwvPp4vHz4iDh8+hyAmPuBuLD448zA+g0s3PiXnRz7eJFw+8D9zPh9OcD6uyV8+m41WPk9KRz5eH14+qvF4PoXffT5R8oQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9k9dw9lYLWPazeyD1VarU94i+3PbSSsT33hLA9zIinPTIeoT1QlZo9doqfPbrDpj1Fopw9v2mTPYyGkT3PcJc9KCqXPS/pkT2qPpc9BE+nPUuguT0Z48g9wC6tPer5nD1Yu6Q9eWqWPT/sgz2A6mo91oyFPSqejD3nK489pF+VPeremj388Jw9CHCdPabohj1QaHU9XKeCPa9KfT1k23k94U58PSFjhT14GII9ngqAPac0cT1MLHA9QYl2PXd6gz35o409LkOcPSTWnT35Bpo9DcCJPfVqdz39S2M9XBlsPZoyYj2bnmE9eK9XPfNQTz25zVA9j1FJPfBUPT2MJzc9hi80PZLhOT3/4lI9D0ZWPWjwSD1iEks9VzdPPRtGQj0IHEk9WChUPfEdRz3xrjU9YP48PZvMTj2yMU89tSdYPcD5Vj3tm2M9l6pnPauXdz3neYM9YP9pPbkOVj1tKUo9vJtYPQ7faj1DLGk9EiJwPZM5gj2wkIE9OGpyPc3vYj1cQEw9+a1jPdgpbD1Kq1s9OEhcPRbAWT2l0m8996RvPSB+bj0b1nw9tzd8PalYdD08toM9D2iGPWDlgz1EMXg9CHt8PWqThz1J/Hg9A6xuPd+BYT2l4lw9kYdePXb1aj0RH4g9CeVtPbaCWz36v1c9h/9TPQ/jWj3FgmY9WSVfPey4UT1Dm049cV9OPabXQz1Kdz49T59EPeFYVT3dt3A9O+h6PXY6gD1c9G09e7ZsPVQPWj0d+Ek9VKhNPW8GUT0q0l497CppPfPPYz1Xemk90qlbPYVhWD1BaWg9AiSKPRGRij3l2mo9nX1qPTTraz0JcWk9RZdvPS3CgT0UNG490KNnPQsPaD27cGs99d98Pd9GdD3UtXA9025aPaBOXD3GioQ9xBaRPWS0hz2KgXM9OnZ1PVPMdT3mL4E9RNWHPdPWhz3UCYk9km2HPVauiT0DHYg9FGKDPQEPiT08Qo49OM+QPYAGkT0+y409N3yNPTsxiz3104o9JsiVPfD6mj1qzJg97eeRPXJtiT1xsoo9yj2MPQS4fT2B+4M9G26LPc3shz15tos9VBOSPSogkz1slo092AKJPSq4lT2//6I99xOUPcSMkz1OoJ89y0+jPVCRmj3ZjJQ9ys+MPfIfij20AYk9QjGZPWFkqj2LnaA93N6ePZDImT2Yu5o9276mPTG5pT2S/Jw9nMOgPRN/qT19JKo9nJGmPfLhnT0XHJs9kSacPURcmT2b/J49U7upPUaPoj3XeaI9roqgPY4GpT3RyKQ9b52uPZnWoz2xN6c96YmpPd+ZqD3ujK09sfWwPcswpz0oh6c96ZevPRv7qT0MJ689sd+6PXlxsj0at7A9SWeyPRoEtj0m/7I9JFGxPZE1sT30FrU9kxqzPQKAsz21iLY9lDG2PRijtz3GKro92021PX0+tD1oq6g9R6WkPcIZrz19+bY9PF6sPUB0qT2qFKw9V7WqPbqSnD15eJg9vo2aPdObpj1UZbE9T1WvPdp2qz2tT6g9IKmlPdT+nD1IMqM92cuiPdAIoT06DaE93JClPVl1nz15L509O7GkPUZJpD00nKY9JZugPRmGmD1cl5c9oq+aPXLwmj3H6Jo9Rq+WPZRmnD3wjqM9gD6aPVz7mj32OqE9Wr2nPWmrrT2bxrY9NUmyPZuEtz0Hs8M94LO9PR0Iuz3kKK09A92uPep7rD2PQKY9JAyqPUYLtj13pLA9oMGkPZObqT3hgK89x766Padytz2wd7Y9eLKpPSW4nj0ee5g9p06RPSWIjj3Co5E9bEecPex1rD244ao95FWkPU3LmT3W1oc9HPSCPRQXgD0u0YI9pT6LPY2Bjz1or5g9kM+OPeK9jz2o8ZQ9mpKaPYP2lz2HfKA91PuiPVClqj0jdao9WY2nPV3NoT1v7aQ9zruZPa2YoT3eM6A9AhCYPdcinD0BLJI99h2TPW5Blz2TbZg9ewGcPROalz1mopc94x2bPS/jmD1GMJY9Rv+nPeSWoT0UPZk98u6LPbj/iD0dbok95SCFPd6KbT2Vb2M9bhdnPQ9bYD3nqWA9d2VlPR90YT2C1Wo96WdzPdIvaj3m1GY9jvZRPW5jSz2VGE09yVBMPecBPj0cWTY9ViQ5PcGHPz23d0M9VyZGPXxVPT1oyEU9zVxIPSu3Uz09uXE9XzFqPVk9Vj1iflY9bwlSPacaOT3s/zE9+j8tPaaFJT0nMCk9b3opPX5BKD1Rpi09XP89PbEIQz0mKUc9NlNEPa3/Mz2q+S092AYwPYsCRz1xwV09NDtdPQ+NVD3de0I9UCIvPfneKD363i49dhcyPUTIND1atzI9OGQvPbahMz1rn0w99nNlPYb7WD0hYUI93b5APYS8OD0exzM9I9kxPdmgOD2ArUE90Rw/PdHxNT1bRBk9zODzPBJ3/jwlkIE9YK/QPTJZEj68rig+QBUsPqUyJz5OMRs+MhgXPvq+HT5FjR4+EPMePm2RIz43ayw+CEkqPrvtIz4JhB0+olgNPvRL6D1Zl1o9gaTTPL9twT2jHhU+qI8bPnU3Hz416xc+0kkXPnrtEj4HBK89kyiePL0bbjwI55U8+JakPLIupzx738g8snj0PDQvBj1EnTo910SgPc5jFT6KFy0+zycmPubMIz7Q5zQ+7plDPjASPj4xKw4+dzHMPaWtvj0vaA4+vqQrPlemGj7MTR4+LUUtPnl6Oz62b0A+k5crPlwFGz4MYRc+cMkcPpcqKT465So+UHsSPtdvNT74fig+KxEYPsZKHD5LAiE+zXJJPoNUQj78uzY+PtU6PoXgNj68aDU+BrExPozfLz7z7is+M5w2PsaELj7OXis+CZcpPiHqHz75nh4+JfI+PkJMOj77ZTU+IYcnPjSkKT5GoTY+gB4mPqttDj6dcK0914tsPfZRvTxD1XY96KImPlXJYD4e3ko+hdZNPkhyXj7Db2I+fwhbPiT8XT6ApUA+QCg6PgpnMT46oDY++jYyPu25KD5K2jo+dThIPqN6WD5QoTs+y+0qPpiDJj775zI+zEEsPuI4HD4laR8+XdxCPkYoWj7B8Us+ezJDPi6+Kz4OBC0+2EtQPtK4Tz7Jj2g+B+FrPmlPWz7TGEg+FmlmPgsjdj72pWI+Ic5EPhRMNT7UcSU+RUImPiHaJz6AJiE+A2QsPgYXJj56akc+vVY/PsucSD75WW8+Ja1cPgU6UD6PHzU+gaMrPnPAXj5+wVQ+vyxAPh+MTT7LOD8+zzVCPsA+OD5i9y4+SHMuPts6LT4pgyg+IMslPpHILz7NXjA+4KIyPsoeQD4NFFA+mYiWPnCLdT6m5Fc+rGIoPtUxGD4LTSg+Ffg7PiHKUD4FlDc+CgA9PmarPz5Vp0A+gPMpPvbfIz7VWi4+e3JKPjjRUD6/DCE+X0wxPuJxMT6azQs+mdn3PbHQ8T0CVPU9xD7jPakQ/j0vQxU+7fIkPntNKD6xDjo+mQw4PhiGMj7IjiY+KUIoPrilKj7mBy8+9xUtPsLjLT5xxD0+0+tIPik+PD4VvT4+nb0xPsf8DT4skQI+IpQJPiR6Hz5l6h0+ZZkVPr65HT6v3yM+mxhDPoQ/YT7BM2A+eCZXPlYWSz4aBUs+E41xPknbez7G/Hg+u/NwPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/H+PSPawe3D1q3tM9T0nCPRqZsT2QiKM9oJKYPdoHnD3aQKQ96jikPb7DnD1j06k9CxOzPZv8rD10FbE9wriuPVdAlD02LJo9EsuVPSFloD3Ap6k9b6WnPWHulT21K4o96bCEPQ3phD2Ydok9PISJPVEXhz0tXoo9y+qTPSTdlj3Ptps93g6aPU4Omz3EIIA9mcZqPTuJcT0zGYQ9BGqCPZmKgD1oJ4g9tZWKPST1gz2d33w9KV+IPXywhj0gpIE9iG54PTlQez1zFIE9bZZ3PQwMbz20vWE9/NZkPXBIYz07rF49CKVVPbz9Tz1WMk898yZOPc5wMz1as0A9SPk9PfRmQD0GtFE9Cm1MPdg0QT22Jz89frlePdv7aj1WHWo9Tr9hPZvdWj3Lplo9QQdUPW5kTT3tH0o9/jFOPd/zVj0l/lM9cTVuPTqpeT3eE3c9ws5mPRZUWz2IxmE946VlPWCaZz0Ue2892klnPTnBZj1BHGw9G8N4PU7eeT2rF3A9TGxxPdrNdz2LanA95yBjPcV5ZD25NHQ9F4J6PaToZT1T81893RxrPbCqdz0NA4Q9qKR8PSWobj2jjHU9CTF1PZhvgT0x2YI9BqhwPZl/Wz0p1lk9pgZvPR44gT2l8II9RfVxPd0eZj3/bVw90zdhPfzRXT03Qlo9Mg9gPXERVj2+nFM9wnZfPWaEZT3ueGc9VOROPVvtWD2Lj209mAFvPWpEcD0FGm890T1TPTbqTz2GSU09ql5SPZZXXD2TwV89lWBsPSw1Zj1K12Y97GFtPSzeaj1hYXE9ddV8Parhgj1bvXo9qWxyPe3ydz05XHo9n9p5PYnDgD35W4M9Jr13PdD6Wz1AMGA9lpduPeK8iz1Teo09ZcmMPSYXjD04j3Y9MRp4PV/gdT3XKXM98mx5PZkPfz2M24I9aeWAPasNej26in49OWCIPY5fkz2xMZY9zLmTPfHSjT2xx489fFeLPUhwiz3JJIw9f8yNPRHilD0qDJI9SviGPeCFiT0JAI498juOPavuiz1OEYg9NQuVPV9Goj1PTo89I7GNPUjdkD3KiZI9GGeIPZsRdT3FvXU9b1J/PUu1gz2IbYs92SSPPf0Ekj0oU5M9lvGaPYTflT3Sp4s9C9WOPT+1jj3u1JA9u6OTPYkalj3QJJk9F2+PPcVtlj3Y/6A9G7ijPfnImz1adJI95hCRPYxSlD0IfJ49V1aiPZmTqD2iYa89orGlPaF6qj2yIqs92zeyPZUisz0FCKM9Bu6qPZ05rz238K89HRq8PeEOvT1RCbI9FnuyPZEerz3/u6U9phOoPQjCqz3WGKk9sI6yPUY4rD39dqk95IGqPfk5qz1I9rA9r6K9Pdx7wD3rK7o9umS3PW+gtz1zUcE9QoC4PdSGuT0FbbM9Bj28PQcOwD1fFc49lPTPPdM2vj2WILQ9yW+9PcZYxT0mDMI9WHe3PSqLsD1mL6U9L8+ePQ2rnj060Zc9G4WbPRoynT0Y+ak9equ2PXwNqT1LNqg9tqymPXAdoj1biaQ9h56mPb89nT3vaZ49JHaiPa/8kz33TYo9mLOOPZT1mD240Jk9ZYadPabBlz2jao89+5WaPWCqrT2WNZ49lKyZPTwWoz3hiao9iIOoPUjrpD2xVqo9GUmrPSKUpD2lpqk96jalPa6KnT3bS6I9tamlPVx1pz2ajKo9xpWvPfuorz3zGa09VauzPbSKvz1dqrk9jk7DPcBWtT1GsrI9JCKzPT4ntT3dlr09h8+hPcHqlz368J09DdagPWKgqD2SMpw9ml6XPbAEmT2A7po97YyaPeoUlz00W5I96X+SPX6omj1USZ89MR6jPZoLoz2gyKI9o2iiPWSBnT1QGZc9+VaTPUMhoz2GNbc9ZcuzPTpEqD3uVas9CyGrPQ8gqT1VIa89b6WjPVCrlT1D+ZA9aVSQPRPdkj1loI097uWYPRZvmj0EsqY9qLasPSasqz0hiJo9WiaWPVx4kT2W7Yk9ezyGPSMJhT3/74Q9a96CPcN+hD397II9F+R2PeG7dz3SB3A9zqptPTT8aj2BXFs9/XR1PTktgD1TpIw9LbCAPUQyXz2+zUo9rtE/PbA/Pz2QrUI9LNRJPVjGRT3HpkQ9jdJDPevZQz0f3Ec9yrlTPcJiWz3Xa2M9HrBrPUctbT3Kemw9lKRdPduSWz2Hhko9dKgxPcg1LT0MLiA9gSkePe7jHT0S+SQ96vIpPRuoKz1ZsDA9tLM6PUTKQj2hXzY9nFUtPWK8Nj1KNkI96I9hPQzKaT3CrEU9DBEnPZPtJD17gSc9uTE1PTQhTT1r2UY92jcwPUa5Oz3BGT49orxBPWotRj1n8Ew9hoKaPZGVnD3PgX89uwE0PRuWPz0iwEg9Q4GAPV2dzD33a/s9YvwEPtNV1D1NRVU93yZrPYAixz2m+eY9by4RPg8SGj6MDiU+1kQmPgQVKz4y2yw+/cghPiH0FT6TYg8+TC4OPq4/FT53uB0+clgkPngyIT5onBk+CGwXPugHDT7jRAo+0AsNPuSHED4AsyM+hncsPlA9Lj7k2is+zm0KPpW31D1Mt7k93J2YPUVMDD0Dir88aHHEPDWGvTyie988pfNgPfX9aj0I4C892VXTPOujjTxnJHs9G3EXPgtfMD5AWjY+kI1HPoTVRD6+PUI+yPdIPpSRSz4zhT8+r102Pg+gKT6X+S0+YVs1Pq7QNT5uzCs+xhIpPmKqPz54oEI+cxZBPspSNj6nXyE+xjsdPnLIMj4Ye0M+k1ExPu6FPj5OijU+C3sxPqFuRj4Tkzs+uiEpPvGtLT5/rDg+nRU+Ph89Oz5e+jA+894hPtpyHz4gYSI+caIkPkAZKz4X2SQ+cdMiPiaDLj6FfEQ+5uw/ProfPD7xbzc+lYRBPrT2PT502Sg+pFwpPi++Hj5trPM9FU23PY2T/D3ViS8+8DUgPpxGKj5DJU8+GX1tPvuJUD5T7Cc+XSoaPma9HD6fKy8+oK9UPiu0Oz7cWko++bNePh/+XT6H9FQ+KFlFPvOFMT4bpS8+MR02Pg13ID7Kxhc+8+8xPha5Nz4eqyI++lsiPvN5LD6AVTQ+QcA3PqojOT4pxCU+1lZUPiRnfT7mIGk+0SYwPq1bJz5uZS8+fww+PtihST44nCo+H/IQPqTbGj4OMB8+soAePqC4KT5IEyw+NEE0PuHbIz6ExjE+qQNdPqNNgz4cB4Y+zJRYPhnHEz7L9kA+I7tZPqKMSD5HTEA+iHwYPj6TWz4XwEQ+daYfPl1gGT4hQBk+F9xRPnDyNT7baj0+iTo8PnNQLT6TxC4+xlE3PrxXZT5KCXw+TuKCPgW9Qj74ISA+iEAtPhKwOT6FNEo+NdxGPr33Nz5DJi4+pDA5PqT2QT548Dc+j+EqPlVbSz5Ds2A+PuYkPjpV/j1Wtw0+5WcFPktxCT6tTg0+mdwMPuEmBj4czww+748mPmvWLj6A/TQ+BLA7PqA9Mz6I6Cw+3A8uPpn7LD782y4+mh4wPqtEOD6AnEM+mtZFPswuNz4jLTQ+ZmAwPoA7IT4y3CM+s2ErPimBLj7oU0A+Xfo7PoefIj7aLSY+l9sePmdXFz5TXkA+o8NKPn9NZz7JZWg+FHRFPpvgNz5/Ki4+LXoqPioZIT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9tB6z3XmOw9nXPHPRdFuj2qoZs9uWSjPdStoD0g0489TqSYPT7Gnj3/wqA9r1qfPfdGqD3H7qQ9UX6mPYWmsT3/76k9gnqZPUxxlT2EqqU987mrPbmvlj3jR5E9M/OCPeBvhj2aiI49IxiJPV2Ggz3GpoM9wHOJPQyTkD1fL4o98jF2PQbTdD3x0XU9/rp2PR7Lhj0wbIc9/ZCGPSVngD1Qmn09ziJ0PaR1fj0XqIM91VJ6Pa1gdz22inA9l61oPZILZD36CU09rvhuPTgpcz2jsGc9Ly9ePSfkXz1roWY9hBhjPYz/YD3daVY9GjFQPWL7Wz2lZk89Os9NPSnXVT2S0Wg9MMNyPcmAYz0vk0o94cphPfazZT0/NWc9hepbPRluVT3DFGE9aplqPcIidz2YwXk9nzNwPbyJaD2XYV490yxhPYiSaj0ZKmw94ZxrPW/Raz2WvWw9s25oPckYXj0kgGc9t651PVdHbz2jp4I9Rv2APdG0dj0gtXk9gcB1PXqcbz3GGIU9WtR+PXPqeD3532w9dORiPQhLVD0o5lY96VZhPdtjeD1jbng9fY1zPQ4TaD1WP2w9ZQ11PRjfaT3U5mY980lmPf7mVj2AQFE9ThFlPRgRfD0DiXI9Ip9pPc4vYj2xQ1w9TXtVPV+xUz2qx0w9euRKPYJ2ST1qNEs9sFVaPcuQXz0Jpl09UjhgPZ6rUj3JGlk9kHVjPdjdbT1MH3E9cD1kPWhuYD2O6lY9JTFePU8JYT3awVs9VQ9nPZCzaD1VrHU9tFODPe7ndD3szGk98IdfPfm2Yz2McXY92810PV+FcD2qyHE9pOhyPXGVcD2Qp209n4dqPSWTbT1z5HQ9wyRzPZuVez39oYk9QsODPS+ieD163XU9OZ9zPZ2seT3PDng9tGV1PcPfcz0r3oE96+aBPclthT0im4Y9AOJ9PWlWhj2MS5o9uGSXPYEoiT3/5II9RE2EPVVDhj15JX49/3uEPaItjj2maZg9DG+gPZvskj2wA5g9qpOePd+QlD1e4ZY9XLaYPTPIlT0gA5Y9MN6OPWqQjT2nvoY9S8Z9PQTeej0nmIo9kYWDPeRfgT02+4Q9VQGOPXyTiD1Yu4g96UuRPd1plj2KPZA9nm+FPUjkhz07Noo9KESQPcpulD24hZI9UkmNPfMmnz2XIZU9x2WKPRzOjz1UzY09W6+KPRxOlD1aXZE9LaGcPZ7LqT28Oaw9kq+oPX+5pD2yIrI9cnSkPXZbqD0HZq89uQaqPXIMqj0Se649WRKvPYcmsj30NrI9ZOCrPS3Erj2ng7U9GKi1PdptuT1gTbY9CcesPZuwqj1fk7M99AG2PUMCuT3E3b89Mc/CPWIbxT1fsL49EBLBPcEIvz1jeMM9NbHEPXeXvz3J0sE9cg7BPS8Dwz18Kro9RCa4PbzDtT09kbs9bDrCPUBRvj1F77c9CE+2PUyrrj3Cfp49Df2XPfPhoj0WhKU9vfikPWi5oj1bYqU90K21PX0muj0+0Kw9NjGkPY1Cmj2n7oo9a8+OPZHymj0J/6s9XqStPZeHqD2/E6A9T/KXPYvMiz10w5k9/MSdPb8xnj1f46Q9SSufPTEemj02ZqA9JRWjPW/IpD13ELA93QmzPemYqT2yLrU9v2O8PfNxyD3kPMg9vrS3PX5Nrz3uUqc9UjmkPQdmqz3HELo9biLCPQW5tT2rnKk9uzOyPTffsT0vma09ncqvPbrEsD3BgrU9gva4PfZCuT0oUrY9SKqoPSC5iT27Ao89oyGaPdE1mT0btJw98Z+gPS8kkz2vw5Q9R6mWPb8emj2W0pc96BSSPYO+lD2X5aM9riynPQJppj31Iac97IyiPeTNnD2CaqM9rM6oPe5Wpz3/Pqs92gyrPbHQoT19p6s93t+qPcBnoj1ERpg9mgiWPRPIjz2bGo09PcOEPXv3gz0+sIk9ll+YPdBIlz1B6YU9E0F7PXKogj3MboM98oqFPbOykT1qGoc9Yc6CPZe7iD11v4o9mOaLPbpxgT1Cy349PsiEPSsvhj2FH4Y9pXaBPSZfZj2sQ3I9qLBtPZ4Fbz0wkHA9XUJsPf8aTD2aODo9zZs+PZ9wPj3ZYz89wKBPPRJIWT2WEFs9bV9bPXgDXz3dPVY91RhSPTQoTD0iwF89Zl9zPcnVeT0Xc249N7ZjPdPfRz1oJkM95f9VPTCaXz329kI9jc0/PbiZNj3A7S894rIrPW7aJz3FByw9NdQvPT67OT0fnzs99w85PbM0Pz1F6Uk9+R1IPR9ARD3g/Tc9RTctPWUCQD1jIFk9BWFXPftsVD0ylko9ByM7PfGJTz2nYGo9lGVmPbkrVT1Jxkw99g8+PUhKUj0J7zs9a5syPRaKLT0rGTg9vV9BPSPwbj3Ic+M9/8k0PipzQT4X0w0+56z1PSeXGD457xA+AZEWPmJJFT7cpiI+n20pPqfDJz5royE+4BAdPi2tFz6UHBU+zCUVPtC5Gj7IrRc+isAVPmCYFj5gJBc+7PMRPiPsED4C1Bw+GFgjPtQpHT7x7xM+7sUjPt+QFz5aKMk9MhZzPYxhID0x2dM8ycvSPCON9DxNRPE84o7oPLfX2DwqjNA81mylPbBvLT6FmzQ+EDwNPhrp+D2EKts9dbbmPTBsID4avFI+IQNVPlbZUz5e9UY+ubw/PhOTQz4o4GQ+I7NGPmSIND4FNDI+aak+PpAVSz5BPDo+Rh05PgVUPD6uioU+1P+GPltEWj7TqUg+EQY5PjhdNT5i2zY+o7E9PlKYQT51RjM+NzI4PmqbQT6uwU4+MJA5Pg5NLz7SdjM+wjU5Pg37MD7eBTA+4YEvPtr/Kz53oy8+QpknPusuGz7iNCQ+op48Pg9bLz48qCo+wng2PuZTMz52sjc+DBlJPmtVQT6sqyQ+h9EwPlXSTj7x9U8+8+1DPpSDLD6lVjc+Oqs+Pt+cLz4nxSw+ye0xPrNaQT65kz4+qO1aPkeccT5D9Vw+shJePnIvVD4vKU4+VXhmPoSgoD7YOJ4+DOWGPi+2UD4B2kI+igUuPo/CLj6r0Ss+Wh8rPk/AHz7HDyM+bc8xPrVoGD6TnRM+dJcePnZyKD5DfDk++JIxPjVVMD7/tE0+4HViPoLNRT7uLCI+tzxYPqPRPz6RTzs+gjkiPiq6ED7foR8+sY4qPtwuKz7FDyc+AYotPjSoJz5WQS8+hMQ+PsxwSj6ZJWw+LnqFPq6EZT7Bazk+hnE5PhFtRT7UAi8+R+gaPrdhCT78jTc+yMs+PvcoQj6VYzo++R4xPqQOOz4GuDs+bg0uPlJPKT5+Djo+Z8ZDPj9IUD59ooo+cGiePg8GVz538hs+hGAePrS+OT5T/Bc+ZNo2PqrxQD6YGTg+cmQwPq0TNj7Jr04+/N5CPs17Hj7PPxk+vZ8cPrN/Hz5RVhA+bh0IPjVMCj6QGA4+hG03PrcUPT4twCE+vcskPktSQD44nUQ+eMNAPrB9Pj6ouy4+QbclPr4uKT5ZQig+VvUhPuIfJT7wLjU+7yIePuYOEz64wiM+EAstPvb7Lj41JTM+NMkoPl0pIj7aghc+1fgSPjltJD5RxDY+2pM1PrJYMT5czx0+AkY2PuhMRj4p+FA+J29UPq5lRD7TB0g+yQ5CPqAxQT7LtUA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8RX+Q9zc/ePdocxj1IFLY9axWwPaMxqD3WOJU9DmmRPRE0lj2wNqI9EG2jPaXrpT15Lq09I7mvPakRsD3P27s9mwO8PQmJsz3ru6o9+uqrPRsdmT12f5c9KtOYPboilD06mYs9PXeKPZpqiT3z74s9SaeKPeEIiT3Gy4I9GwCAPWaIhz3AfYA9EBiGPV+ghj17Poo9aUOLPQxChT0PR3I9pHxtPWsSaz03z2k9+yJ0PemHgD1R92I9RhZLPQIXVz0hoVo96N5VPY/SeD3r4no9+mN5PVrWdj2sWWo9mhJbPdwvRD1vU0U9iY1MPSGTTD3GyEg9KcZUPek+VT1r6289JJ2EPYwojD04OXQ9DgBPPczrVj1DT2E9aadlPYrPYz0smWM9+pJoPQlbXj0Dj2c9RlpzPRarcT3hOWE9TiZkPeb0ZD0LvWc9G0RoPZwAaz2f/nw90sBoPWymcT3cV4E9TQNyPZ8gZj0g+189pXBuPfaMgD2J9IE9GIt9PfbifT2Vcoo90zeLPb0rWD3dLk89As1VPQp0WT2kW2g9VYJ1PaIIdD1EOm49/jliPVsgYz1GWmw9nQBvPdiWbj0ayXQ9xNRrPa5ZYz1vQFQ9eYdSPf7HcD0Vw2s9qJNsPR6sbz30HHA9EKpwPS8Fbz2koWE9m01kPdW6aD29Tmc9/HphPXj4Xz0cw0o9x9ZOPTvwWT0+SVo9GWVZPaL5VT0cTFs9zSpfPRCbWD34m1w9k4xwPc6+cT2/tXU9fIx8PUXqgT380n49kOpuPbEIZT350V09JCZnPd5Kfj3RAn09EgR9PSeKcT0vP2k98w55PQ5Dcz0cD2Q9S5BkPWFUeD3kOnQ9UDpwPZzEcj1zUn49SUCDPYpagD0xP4I9jmyDPUMogj3GgoQ9UKeCPc1qhD2j+oI90ViEPf2Dgj1mmYM9jHSLPYIYlj1H8ZY99a2TPY66lD34co89FHWPPaOKhz15Eow9NyuEPWAbhj2/tow9NsWLPRjrkD3sOZ89pmKcPUS0mT0pe5c9D5CTPd0Klj3OspM9mQ+OPcEkkj1dW5k9rZuYPXg+iz1hw4I9X+eQPR1Blj1CDZM9abWNPad8iz0cP4o9X7KQPU6Rjj2vTJI9yb6UPUYsiT2O24s97zqUPYv3kz1KC5k9oj6cPQBCmj0cRpc9ejmdPRybnz0NkqI9riGfPYQEoj0jOKU92DmfPQ7trz1woqk9oUahPY9Zoj0QZZo9RVSVPQCkpD3RuLo95TK7PT9nuD1eebU9/8uzPXc5tz3idcI9R6nLPYD0yz1/Q8U9QrC+PdLntj1u1bk9ifK7PRpTrj1AlK49QIi0PY1/uz3j9cY9kNHIPagZyD2f8cY9BWS8PUABtz3Burc9o33EPcMnxj0qcb893LWyPVPNoT3mKKk93lmsPRMgqz3ebqs9GtvAPeEYwz2YKcU9D6O8PQsUuT0ar7o9opS0PZqZqz3aUas9cvyxPZIIsD0Un649ZI6yPeV7tj0T3Ko9JQGoPWLJoj2tj589GiibPS/kmz38xpw9VQmbPRCJoD3YDqU9wKapPRC6mz10w5k99vypPagxrD3weKY90gGnPWzTqz0YAqQ94LqjPRe+qz1ksak9LHuvPcHntT1Hha897E+1PeWerT1rfKw9hVajPWvenT0Eiqs90xW+PS7UvD2i0rE9S+eyPSiFqD0wLJ49p36mPaGXqj1lWKk92qalPUWIqj3iQqQ99p2bPWWwlj1BZI89Gf+RPfORkj0IKos9thaKPX9JjD2pl4c9kKGOPcJCkz2RVI49fjKQPTNyiz2ihYc9z1GMPc0wkz099Jg9RBenPaTjrj1QQ7A9j9ywPa9Gsz0DYLI9A2eyPaTHuD38abU9CrqrPUfPnz2/l5s9++CRPZQWgD2cLoI9FqiHPXEUhj1PXYA9u3+GPdXjjT0m64s9isiKPfOVjD2Yh3w9U7t0PTu5bT2WrYE9752FPVLpjj12fo49F4SLPbRCjT19m489n/6PPfKVhz02PIQ9hPqBPcDrgj3yCnE9gnpoPagIXj3UqHA9ulR7PWQ3hT20+4c9ZQKCPR22bz1JQks9JDVJPeNoSD0qREc98dk7PYThPz0l5U49b3NcPfBdYT0uYVo93ZtWPbETWj0ZP1o9qNZgPTmNWT1LJEk9LIE7PYtKOj1rtz09uldKPRqDRz0iFDI9xlggPVSwHD3nGiA90RYkPepSHD3c4Sg97iQnPd/XJz1vKDM92LNIPbtaSz2xUT09KOg5PSbyOz35lj09oDVEPRaMSz1/ilU9fUtWPfxeUz1maUs9oONHPc08RT0OEFk97UtSPVAGQz1Wyzg9GUEtPSXHKD0K+jg9vKgnPbJXHT0Gyyo9dvg1PZCtQj3+8Vw9AUduPeb8hT16SJE94GO7PRYcBz5Zzyg+TKIZPrHrFz7Ochw+Z6UWPr6ZGT7kSyU+nOggPvNxHj5YhiM+emQdPr9iHz6KwyY+F2QhPnyRGT6q7yE+BJsjPjeaFz5v6Bc+mdgcPqx/HT50Fho+wE8VPl/iyT3SOTk9IM7hPAZOqDw2Q6M8niOvPANIuzzm+Mk8GNnBPFpjwzyPJcc8/WVcPQj7Jz4IAD4+xxU2Pj0oLj5Swio+zQgWPv/mLj7diio+GyIuPudBTT6sPlU+WRJIPnY0QT7EF1o+ALpdPiWPWz4hg00+g4tJPr9lbD6WUFk+FdZBPmGiZT6wpl0+9FlhPirUXz53al4+OXBrPot7SD6n9zc+UWwzPgM+LT76Ri4+4RM4Phr7OD4GZTo+arE3PtprLD4I2TA+yHArPiziLz6HvyY+T3YmPnupKT41Ri8+/o8pPkLOND5AzDI+oawvPuuYIT4/uh8+oJc2PnlMOD434yg+hxAsPjUqPj7UKj4+G3AjPr7kHz67rDM+qbwzPtUuMD7SWyY+0Zg0PnLULj6paSo+YY8yPt98OD4Ii0Y+HVRHPlaHYD7SlnI+7FBlPjTUUz4BLTs+mk86Pm5LUT749Zg+1ZWfPuSDjD7Ty20+ki5WPo0nPz5dZzs+4hVDPlUZQj79eDg+L+M0PjANLT68vyo+pRw1PnRDPD6Zijs+Tz0xPlcNIz5fDi4+DdQfPhw7JD6sV0E+YHVhPsY7SD6agTM+4tAgPmKcHD6zGxo+B+UZPoS9KD7csCk+uaoiPuV9HT4DtBg+639APkViVT7HAlM+fQtNPp4pTD5+fzM+UetBPk2mUT7F8kY+7BgZPn2WAz4INjA+81JePonjPD4U0DE+iPstPkH5LD4tSRw+ZwIoPhzTPj5RzTY+u2VAPh+HPj4yEHM+4720PukIWT6kVAk+fi4ePklaNj5R81c+EPFWPoBCoT6ZRlc+IWguPiisQj6Jz0g+31VOPhhMPj7diCQ+CiYjPhjBGT6E2BQ+5U0GPlRlFz6M/SM++pYiPuEzSz70hUk+tAg8PrpKOT5yN0I+JOI3PvqtQT7zPUM+qBs4PrPKHz7iZRw+td0mPj1fKz7GCjA+m6A9Pon9JD7hnSA+bE4xPqp0MT5OoCA+510QPjpSKT62QEM+dZwzPkUKGj7gJjI+dpA+PoMgTz5J/UY+MQhFPsYuRz52U0Q+WrJGPuChQT4N9j4+LTRfPiL6Tj4jxEI+I8RCPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/3HDIPRz0wz14k749OBa5PTnesT1l+qE9wyqdPRo5mD2VCJQ9xsyePfPVoj32ObU9GXOsPfe6qz1p6ac9H0atPZ2Kpj1X16A9xi+TPcTQjj1ycIo9RwaRPXJHkj3NAY49hwGIPXVHdj1Unnk9EaKGPVJwgT2SVnw9NaxsPawdcj2loIc9a4+LPaq9iD1g+Ys9gJCVPSGujz31N349I3GIPZ3cgD3X7Ww94C5rPRBjfT03pHE9Z1VXPYJOWz3/Z2s9eE96PY7EZj3j4XM96e11PQ5lbD0s2mY9JsxfPX+IOT1qNio91aQ/PSgwQD0hgzs9V9dTPb/5bz1Li149N/JcPc32WT0lkVc9cPdRPRkqTD006VM9dflUPQOgXD2UiGU9kzRsPWkrcj2mvGc9zzFyPZL5bT2RNGw9KlVoPdrdZz0ReHE9uhd4PcGXaD3BS2E9DiRkPf+NYT1EQGY9NbRyPQVadz2E93U9FCBxPdSlaj37/oA9VvWHPTqgdz0ujWc9+cxjPcLkZj3LLGw9+1NnPbfRYD3xHHk9ADWAPXUkez2cxm89WfB7PfkJcj0j1Wk9/qpqPTN+aT1mK189kZqCPUc0iT3nvWE9WnBWPQraST21wGE91WB8PTutfj0O2389MjuBPXi9ej0JsWc9p4dgPdVxXD31rls97N9bPeTSUz0EFlI9wrRRPY1pTj3/Iks9aAJNPb9MUj0XOlg9YvFjPRDnYz2NNVs9pi5gPREfaj0y3HQ9E+aCPWgegz36M4A9jCF6PeuVfT3ign098wNwPYtbcD0M/H099pR4PWjHdT1J/3c9nJl/PSuDgD0AyYA9sCJ9PcDxeD3O13Q9t5d3Pcj/az30KoM9BKaMPSFrhT0SGX49eb6IPQSLgz1baow9FBWIPclcgz0zQns94Et/Pex9hD0P+Ic9qnqKPfAOij1HUo09SUaKPf/VjT2rJZA9tdiWPXlImz0irZY9wpOOPfAQkj2LEJM9XfiOPSWFiT3irZQ92kejPW2knT1nYJ890O6lPX0SpT2aMaI9rtqaPU7Biz0IHZc92G2bPayylz3L75Q944eYPRMroT0kBKE99r2ZPS8QlT1yi5A9AMKMPeIzlj3sVo49DBqMPfvJij1v55E9PkqaPdJcnT2Ttpc9QEOePS6unj36Dpo9062aPXT0qD1a7Kk9Zm2lPcQdoj3C9qE9NS+mPREFsz3e3sI9BP+xPfGYpT2AlqQ9ZtSkPa8Npj1gqLM96p++PXYqvz0Qmb09QCq3PfsltT1x+7Y9GmC9PS8owD2v+sE9/PC+PZQ2tT1uYrY9F2a6PTlFsz15ra89hXiwPd+RsD0L5Lo9erS3Pc9Ppj2QOqQ986ukPbPYqD0SyLA9VImrPYdgsj3zObs9DQW9PbH0wD3wRcU9xYrOPWWCxT1LGcY9wWPDPViIvj0LQMI9dSzMPQ3lxT3vxLg9o4q1PeaEtz06Gcc9sYi8PUpusj2qdrM9cUm0PVgJuz2HpbI9OlGjPbGAkz09HpY9nlOZPUVqnj1g86Y9uIexPWcdqz0n6K89NrawPYkTtj3K+649BEC0PYn5qD3qE5894gyhPUeWoj2Rr6w9vEOuPfZBqT3kJqo9RZGnPeEruz0Zkbw96SujPdymnz0fqqc9KGWlPSWdoT2IU6U9OaGqPeKDsT17uqs9V0yjPTmKoD0qfp095jWgPSICpj0bFao9owCsPaWjqj0o0LE9miKiPRL9oD30aag9ZtKhPfsspz2u5KE9ozSNPR0Zij0mwY49ciGNPb+siD1uBIE9q7WFPdWSkD0CWI89KsKTPUYzmT1xXpY9Yr6XPdzupD0iSKI95baZPVvjmD2QZ6M9Vw6kPXSMoj1COaA9492gPfWgnj3Glp09WraaPXr7iz354Xw9jF+DPfvQhj1tlZI9OnaUPRxulT0H05U9Zy6PPRc3jD0P6II9uJqAPdtpgj1zxoA9M+WFPRILij1BxZU9k2ydPSO/oD2eN5s9GNqOPTkmij3qXIk98cqJPeGhhD1/nYM9DjF/PaH4eD3yImY9MfCAPT5Bhz3keX09z017PdkDYj2iWVw9G7dOPZnCRj1bUj89C7FGPXCkWT3MOGA9bc9yPRlQbj2NvnI9Z29iPTE0TD09uUk9F/hDPbJePT0XBkI9o3VNPUMETD2l+0g9uTpJPQKPPj2bPC09GdcmPaMCND3R+DA9eOApPRD6JT1vWhw9LLskPZefMT0myUA9yrFHPW+9Sz26JDs9Wrg4PV3yMz1uXTc9S4k6PfqNOj3nLkE9+6RJPXrbRz3ui0Q990dEPYvRQD0gjU89jkBbPXHUTD0XrEs91VJJPahFNj1KIDU9stBmPRqBNj1guSo93Z4uPbKQPj36fmI9WkJ3PUa3hj0Hr6g9QF3hPaNXGj4U0jE+1YkhPlFrEz7sgBc+NqAZPjw9JD5ozCs+3OIuPu7CHj6YziA+gmAkPs3YJD6IbyY+VGQkPq1JHj6X0h4+RdEePqV7HD6n6R4+iSocPiYPGz6s+xo+dhEYPnVL0j3EWe88cFaNPI8TqDxfLLI8j+SwPCKSrjwV36084uWuPCRtsDzSeQA9OSYZPbhG3D3n4S8+hPQyPgh4OT6m1TM+SrwzPsxFIz6VPiE+5ZoXPjdwMD7TFzY+JwEgPrLLKD5HTC4+AW9HPi49Uj5GNlM+9+A9PqvUPD48fFc+4cRYPs85aT7s95w+S5OXPg8wkD4Mpmk+O5FtPu3rTT5miDg+mgR0Pn0qeD5Tj1k+qXxIPiOaQz7Q0kM+nEdCPiObPT4+QCs+5bUwPgYhMD5AnCc+3GUePlxhHT69iyA+RZI2Pu7uPj4RQT0+YsAZPkrhET7z0hE+KAgyPtnlSD5YuS0+EpoePkoXLD7VViw+Q7oZPuToID4TjD8+cJQ+PkKkNj5VYTI+dN0rPh2WLj6WEkA+ZEFDPtN9SD7eTk4+M4BfPgvaYj72CWs+x19yPlYeZD5n400+exg8PlWhOD4ghjM+SYNHPjR/ZD7Hy3Y+kVWMPuI8hj5fWGs+9WlIPvFbPj5FgTg+bNkzPsOiOD6TsiQ+hB0pPm9pKT4/yyk+10YvPhpBNj5RdB8+sd8rPgAdLT7VwiY+Bv05PkOxUz6yMzc+bE4iPgfsJD58FTQ+vFIpPsh2Ij55UjI+Le4xPsdANT7FfDQ+chsnPsdsJj7uS0E+FFs4PrsBMT6/+jU+QCs2PryWPz7xmDQ+yyQoPjZ/JD4bAio+wTBFPpYLYD6Bzik+Ku4lPs1jKz5i5i0+8soxPuwsMT5vi0g+4UNMPjeiOT7d620+IzqQPvhymT7vIzc+7OkFPkO/IT5G8jk+W6o+Prfldj4Apq0+yfBcPiE1Qj4iKy8+rXcrPm5rPT4rCy8+6iolPjLtHT6U7Q4+eOEKPtjv+z1Qhhc+BDUsPpQYMT7KrkU+xJhIPm7vPD7WC0s+HghKPh4OLT7oEzk+b743Po7zIj5FAB4+VoAkPgmYKj5Nyic+uPglPlUFKT6n2C4+et4yPhuZLz4MBzk+aVwcPoNiHT5D9Cs+lUs+PpnZLD6kmBs+6RMwPiP6PD5twk8+hapFPnaMLz4RPTI+wmA1PizGPT7N8Ek+LfZAPrRZTT5M100++cZCPvnGQj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4EFyT2dWMc9zm3MPU9kwT0wrro92eO5PeTLsD1jVJw98RedPUfkoj1HTJ899XadPXMMmj0bbZE9CjiNPWmpmz2+O6g9hiKYPatWbT2u0Vo9KrNePSJhYT3xcmY9tCFoPbWSej0mpng9hvdmPYVWaT2JTIM9zjSAPb4Fgj07IoQ93eiIPUDXkj0iso89O+uNPW2+iz2BlYg9+6uHPaMBhz0ELXw9GVh6Pcaiez1IkYM9L/txPeBbbz3hwH89IoKEPWQdgj3+Anc9wgRnPTpJcD2mn2w9aCZpPZDVXz1/olo9k91DPW7wTT1G7lA9T5NAPXAoUT3LjV49+sxQPVJqXz16tl89FoJcPYA8Wz2V5209GnRmPWiMUz1mgU49xzhaPUlDbz0A/HU9kVt4PT/Hbz20NWQ978xzPb2jfz3gFoI9/PFuPZl8Zj0g+Wk9a8xtPUcebT3CxXM9k/x5PVIJgD0LrX890hJ4PYvzdD0VI3U9lJiBPRrKgj0JpGw9hUNYPUiiUz1ZMnE98F6APX3WbD19LmE9jlZmPf3YaT1R9XY9THyIPbz7hz175Xw9b1FcPXUzVj1MzVw9N7trPQROcz3iLms9ZfxXPSAaVT0If1k9K1llPRltcz27RG89LPl4PfGofD0otHI93uVaPfPdbT3qRXw9I3hxPcOjfz3f53Y9x6ViPfKdYD1BvVM9MSRSPS95aj22m2U9rDJfPWT5XD36xlE9kTNTPd97bz2dXHU9HW6BPcL5hj1y/IU9LNB/Pa/7gD0G7389uFB2PbBIaj1P+Gg9u91/PTUxfD1iZXk9HDh4PWfGeD1R+YA9QwKCPYO7fT3pVmM9NPFePRzJaD3djHI9Bex2PUMOeD0WsXc9q4uBPRfAjD2V1oI9cJ2GPfaqgz1hsII9l81+PVUQbz3Tung9fgOKPb46iT0XLYo9g1WIPSbrfz1EXYc913GQPVEslj3IDJw9pU2ZPeuSkD0aWJQ9nlqmPcs5nD3wSpI9/dOSPRJtmT1xOZM9VFGPPb6ijT2vQoc9RhWJPakeij2qxos9Dd2PPZd7lj2dd5M9bIWYPdWsmz0tUJc92imNPTaAjj2Puoo9rYyHPfldkD1hPZc9lqOQPSDhjz13m5M9duqTPW+IkT0IIpw9/Q6jPXy9oz1wPZ890YqdPcf0nz0z9Kk9x7qwPQVMtD0QP6896PasPc7/qT3t07g9Hqm9PUyVsD0d16Y9gXqmPaQfrD1UqK49mr21PZVAuD2HeLY930m4Pb3wvD0SPsQ9Tv/EPexUzj0Sb8M95tvGPZ5dxj3Ut8M95dLBPQK7vT1GV689JCipPUCZqT1RMqw9+IiwPeuFtT3SobE9kcSrPUk1qj0Iq6U97L+tPaIssz0cQq09dr3IPaKQyT3XTtE9W4rfPcRF4z2OrMc9KCOyPUbYsD1MMK09/HuxPfmxvD208Lw9AFu1PcH1tD1xM709qfDLPTs1wT2DBqo9V+uxPUCduD2iFbw9Yy24PWz5qz1x/Zg9Ra6bPYq6qD3yvKk9IXGiPd6WpD2Td6I95wKmPQTJoD1S9Kc9G8a3Pe6dtz38RKI9O4KhPS9spz225ac9I9qyPbPjsz30LaY9zgScPakCpT3H9KY9mbajPYM5nz0PLKQ9Kum1Pc9Xtz2cD7A9wMCoPZSCmD3ui5Y9tRelPRlksD2bTbQ9eGW5PXHLtT3tybI9M1G7PbWgtj1N2bI965iwPTzToT23X5o9UC6gPbA6nj3dHJw9X7GTPYi/jj03Hoc9Iz+IPb10jj3Bf5E9DsGbPSYWjD3x+4o9FQSJPUHWkj3tm5k9MQSfPSrplT3KHJA9+PiGPZVGjz3g7JY95fqYPcJ4oj1XG6k97PGnPRfNrz28PK89m7C1PcRxpj3em5M9SVCRPY3GjD19y4s9E5aNPRF/kT1qt4o96CCUPVsInD1qgZU9y1CPPQkFgj122349bHmGPR05iz3HEJA9MbGSPT7Omz2OLpc9FmSRPbzceD1M/nI97jF3PbjPgz0YIoc9Ix2IPUsZhD045IY9pd2FPTx/gj2OUIE9wkZoPe4CYz17zmY92SBnPR+4Wj1YZk89Pq5bPZJ5YD3FYnM9Tm5wPYxNZj3f9lY9TgZgPXVwWD0hckU9DV1FPdj2Rj3yalU9J21YPXmwVT1ZA0M9jCVMPeHSTT2xJ0I9BRNBPbR0Oj2oEC49ovsqPcSoJz0VkSc9yc0sPQbaQD0ofT493YlAPXQEPD17Dy89WXEkPWa4KD2gyDo9L/1EPTSPQD3vz0A9QzVLPaxtXD0P5149fY5jPUhLXD02ak49dXFYPaJ2WD2jWU49p9Q8PaZ9ND0QYiI98kMrPUeIWz37/j49enNDPdVoPD1550Q9LPd1PbT9lj1mNcE9uEgdPhUBPz6/0Dc+E04jPjiGHj4isis+jAIjPooJID5sdCc+/A8uPimoJj6ANSg+//wnPjVMJz6lgic+WjEqPv7IJz5wlhw+yz4XPrzqFT4wAxU+OfcZPqnQGT4G6gQ+21C5PaKjlT38Gvw8pHFmPO+Dhjwn2pc8AvmsPEcHsDws56o8HYecPNB2tjwXpAA9AfWJPRUd4z0pZxE+IEw0PslOJz6zUiU+WKEwPhFMPD6ykkU+AKAyPmI+HT6wXCc+3CcxPnVYID7a5x4+WawqPuV8LD56xDs+2jlNPi1QSD7a4Ec+tc1MPq0uUz6QaYU+cxixPj9TqD4l0aE+r7mGPuuiYz7G/Ec++EI0PnI0jD7Pd6A+gBm2Pj/fjj5FqmY+MfBGPj41LT4eySo+mT4rPurkLD6+rCs+AxsnPjHYGz5MajA+XlU3Pk+1Sz6k2lY+hX9FPrDiHD7P6Q4+W0IcPjuzQz7dNUw+ERwtPjl5HT74+Bg+BAMYPqDnFT4PQys+kD8/Po0xJz6PRyg+Q1cuPtG9OD7lcDk+X4c4PvNKPj6nv0s+fDZCPoCPNz5NhUY+a65XPuUycz7jdnM+/eZZPnhkMj5ssSw+AXYxPpWvRz64NEE+dUQxPpM1NT6uYTo+bp4yPtdPMz561EI+QyI/Prs+RD7FUkg+9TM6Ph6hKT6YzyI+KtchPlW/ID6Z1iY+L8kgPrL8Ij7lKjM+GwcjPi4lHj5ImTc+PIFFPn+HSz61mEI+dQhCPkFJOT5xjy0+jYk3PpYAPT4/HDQ+1CU1PuzkLz4SgS0+aoA2Pr4gPj69WDk+TEAzPo9VID6SZiM+j5EkPhGVPT4keDo+Li1OPoI+bD53XVo+w08gPszQHz5gdyY+stMvPlLtMT4myjY+G45HPm4TUz4jY20+70KcPt0xpT7Qwxo+GukJPhXbEz4WdCQ+2MwlPmn7KT6uNoE+iet4PsfGVT7TOGY+s/VlPpKJXz4CMzg+EO4jPlHZEz5VWQ4+ByMDPk3LAj6G+fs9dhcSPs9OJT5xwS4+GCM5PiMhMD79Vyk+2nE3PhrVOT5WeyI+v/UePiNgGz7lPx8+J60oPjD3Nj4d0jg+PPUzPo3eOT7UNzY+//EtPm7xKj7CBCw+07owPudHOz6VTjs+UKs0PoagUj4Kxj8+/KIjPobtNz5COzk+Y7lLPvLPVD69aTs+mos0PkpoRD4NlFU+maF8PuRAaD7/Kl0+349WPhHfUz6xwFE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/f+fI9k1PePWKhyD2PUtM97MbfPVTx0z37dbo9JQysPZ0Vrz0HDKA9qN+UPZeHhD0Y0Xo9dndyPcNvgT39UXE9n/VkPSvhcT1RBG89KEpoPY2dWz2T3Fo9in9tPb/hdz0MEoE9OuBtPROcVj0Gnls9KjtoPd+vcT2Pz3M9EB2EPdZmmD0ocJE9GSWKPRBOjD0ZIoU9J9eEPaIYhD0Ucnc9/ud5PZIxfz1O0IE9o6J8PcEvfj2Z3YU9N+uIPThAiz3Ds4E957t4PQhigD3wJX09tu11PXp4eT15rng9TbVtPddocT2PGlc96aNdPVP+XT1cll49hExsPSmSWj0ev0w92tNmPdlMiD1sv4k9wxJ6PYhBUz2s8FI9WFtjPaI6cT0OmnM959piPcTsdj3liWs97t1iPbNucz0E0Xo9bstsPQwiaD2X8m89ZIpjPdq9aT1Akn89xnl5PSICcD2LcXA93vJcPcrYXz2Wam09Frd3PR0/gT12FGI9CgNsPVFfgz1p74g9ALyLPfbihT0rC4M9U0SDPeP9fj0G9Ic94kWKPdKfjT3H84Q9zM6APV4FfT0yWIU9DI2IPUo+kT1cwIc9fviAPWZnbT1nMk89Bw5QPdU/Xj0idng9/jyFPUSWfD3YA4E9PmaBPV0YhD3DgYc9AWZ0Pey1aj1m0ng9R1FgPeP3TT2YQEw9ARRVPfV+Uz2RylM9ylJgPRb5XD03EGQ9VIRiPe6+XD2w3209AeeHPe8ZhD3DF3k9sYJzPQ6Xdj0phXE9drZjPb6XZT0xa2w9nt9qPdxrdj2j1nk9rnB1Paazcz2SAHs9W1J8Pcfccz2jyW89b11yPbVfeD1/CHA9I6RnPUZVaj3j5n49V0qNPdGIjj3i9IU96nd/PSemhT1XsYA9zOx2PVzlbz1h03M9d5uCPRgNhj3ul4k95nuIPZsJij1G+4E9OKJ+Pa56iT2OtZs9UC+WPY9tjD0/7oo9LWKNPQL6kT2kIYw9jhCMPSyqjD2aEY8938eIPSP/iD21uYc9XvuPPX7TlT14NpQ9c9mQPd9CiT0705I9Cg+TPc2OkD09g5k9StGOPYhlij0gaog9zyCLPQFwjT0mX5M94QeRPSeViz2tYo49IxePPXnckD1bf5I9/U2hPbuPqj2Xo6g9KJOnPTlnpD1fl6Q9m96jPcoxkz0VtZg9MFejPdLXqD1Afak9FGelPewknz3N6Kk9gHGoPS+urz3MZLE9eXauPTfApz3vc6Q94I6qPdhTrj2qW649p/2vPZUbvT3D1sA96InAPd6Pyz2aV8o9C3jCPeMhuz3ofqg9ZhujPR+3qT0P0ag9umenPeMTsj1WFrw9AyrAPRGcyD2A9MY9vQrFPfqgyz1utsY9RpXFPUmAwT3l8789mSrHPZ7nyT04nsI9rsfDPT4Zvz19lLA99ButPXnBrz1Q+L89VFnGPdsetT3FlLE9PfKuPSyitD036r49BZ7CPZN+yT3xc8I9dlm2PSQpmz0pRpg9hL+aPaUxnD1a4aQ9IHOkPVY7nT26rZ89MtmmPQGqsT1L9a49KAmyPbVitj2y3MQ9irC9PTP+tT3xA7Q9npayPdgXsz1a/q49vN2uPZRWqz2kbqg9b8CjPaHnoz0nfKM998ifPYfRoj32hJs9zhSbPX9mmz2lRJc9RHKsPQX4uz3p5LY9glayPei3vD1xSb89sg+8PdwPvD2dZLU91FC2Pd1jsD2N+Z49gDONPS/EiT1JUIc9vbeHPbWZij1dP4I9ogyDPfsniD3iJ4o9PnCNPTrYjT12n4o9I7+PPXGBkD3pGJU9nsmQPYohkj2JbIk97xeFPSkWjD0oMZY9y5iePaC7mT0ciZc9y7mnPf4cpj2WPqk9iD+qPTl+pz2Um4094g+PPWm5iz2Um4I96J+EPXv7hT3p0os9eIKOPT4mkT1d7Js96a6XPZV+lD1hmpI9Pf2ePXBmkj0ZTYk96vOHPRTdhz2siIY9xqSDPdFhhD3GTIY9CZ6HPV6Nhz2uboY97GKDPb2ogz0wFoc92VZrPb5gZj2pMWY9v15jPZ1eVD1hVl09iJdsPWZQgD1vt3k9LgxgPRwjXD21+Vw9BApIPQLFPj10v0A9LVlIPZtMVj08qE89kwJEPe7yTj1RR1I9glJWPZEnST3gyjg9XHEfPZf5IT1+RzY9BKdhPYHUXj33/j89kTExPUCtMj2cIz89pphEPRVwIj0jkBk9afYlPb1JLT37lS09nrMoPUNUKz0ka0E9+UNBPXS7ST20R1Y94ERUPZufVT2biVA91J5KPYs2Qz0EjEI9ATFGPTM/Tj3iDDc9K/MjPfd1JD2cNSY9MY0mPZU4Jj0JsCM9ZiQpPUbtKT0ddCY9BilBPUDdwz1ZWCY+6QkqPhARPD4Fdz8+82c1ProcHj6dkSM+lI4oPp0KIT6kgRw+UjEjPjaaKT60yig+nHYmPmUKKD4Jdyc+/T4lPoQ+JD6MRxw+KFkcPr0/ID6XRyI+QuIhPowZHz5muBE+nbGvPYgJ0jwygm48caZ7PD7ZgzyZ9KY8yirMPHBe4zyl/wo952sWPb/PlD0ZruI9n14OPpfbJT4JNh0+jvsYPt1qIz5e8yY+vJEoPiiOKj7jwUM+AC5JPsvdLj599Bk+NMQmPm/gIz5g8ws+rAwMPiOCMD48KS8+QIkuPhZIPj6akjg+pXk7Pun1RD6WHVg+csZbPlz3Zz6FcWI+jB9UPrKQTT5/p1Y+39FPPidISz5Ot1Q+jlqSPlrLlD6lTY8+jEGOPpKcfT7vWDY+0cUzPrTXND6GATY+vCM7Puw5PT7iHks+frdmPpXdWD59vjY+h19MPv1nWz4icT4+Svw/PsNvRj6zmGk+/DddPtb5ND4+ri0+Q6cJPj/HFz5FLzw+fVlGPpH9NT5WVTM+GJ4+PvyUOj5YHS4+B34rPumZOD60gTE+u3wvPozFLj6glCM+olw5Pr+bQD6WV00+fjVJPpfzKT7fgSY+drIqPmcJNT5mHjo+LIcxPgOOLz4f4SQ+jKExPmY/XD5sml4+Cm6BPqALcD7Lh3c+d1+CPn9EVT5c3T8+QOcvPn4aND5pVSo+SVojPtGvGD7LlhY+ITctPsDALD44USE+x+AsPrQeQD6nFGM+kuhKPraQOj6LKDk+XotAPmAJNT72hUQ+56w8PtjsOj6YgTk+C9o9PqZlIz4Smg8+7w8lPoH2OT4R3T0+Vk0rPoL6Lj73vTA+VkIjPlQKIz4VPyY+siMwPgFSKD4oKxw+9bgpPtVAHj4nlhk+BJwePlV4OD4qNSk+l8tFPm97gD4NtoU+UeNJPn/GHT6JtiA+QXMxPgTeNT5imjU+B/MzPtfrOj4pYEY+6Z9EPnLWPj7a2y8+xCQbPhAeHT6tHgY+7dz5PQ22/D1tyRw+uPsjPn4yNj6SNDY+guk3PuUtRj6gnzk+DuM2Por7MT57+yw+NzAmPuixJz6JzBw+4OYePjUrLT5ykjs+meNNPtP1Uj7L6SQ+4JkkPs3STD60CXM+OdFEPoIjLj6DTis+CPA2PiKZRD7mQTo+5YgvPqpyST7E+VE+tnpGPrmaOj6BDkI+weJGPo/zPT6OXUA+nV9MPhMjVz53KWQ+s/5tPv3uUz652WI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/OgG0Pf65uT1qy8M9ZzPXPfaw9T0kAfQ9IhXZPXWJrj1036w9Fh2jPQGxhD0qwHE9P1ZgPdq8Vz19xWk91Z5+PYePfz2ZeW091PFrPUN6cT2sCWg9jQxlPSu6gj05zYQ9gJ5wPZTvYj1SHGg9Fr5vPXYYeT1MJXg9YtF2PVqPcz0hGos9IfaAPXhbhD11P4k9tmWIPXP+iz3UnY49Wrh5Pc0cgD0I1Yg9BPWJPehnjz1nnJ89maiiPcq7lD1QuYg9GyiDPf/Wdz2xims998dtPfpmcz3rbH49GgB9PYtaez1zoHM9idVjPTPsXj38vls99v1ePUb3ZT2xHmE9h+5dPT4qbz0MDYQ9oNl/PZhgZz0BHWI9aN5hPS65Yj1mrmg9PTd5PZu/fT3OzIM9jbt8PUsigT2vpXM9zEZvPaVdcz1d+4Y981t4PXRyaj0kt3w9Bi52PWzAdD14yYA9GyaGPaOXhj31v4A96EN5Pfzzdz0ElWw9aOlhPanEez2GPpY9jeenPXbopz2OOpg9sIKGPVnahD34Ino91l2FPVMvjj1RFZI9hcqWPWdamz2vPYs9N9ORPd6tlz2XIZY91/53PdbYWz3WxVg9ESVqPRVHgD3sf4E9EsWEPU7qij0EEo89nDuKPQ9aiD3XOYk9rPGFPe0/dD06PGc9VqtgPQEfUj0Ua1I9ZxFZPcVKYj2oiV098pdgPXQlfj0314E9RG9tPbYbUz3WCHE9YmOAPRz6eT0TlHk9bPOFPRqNiD3ieXU9rrRzPejJfT1dgXs9IKRpPTkkcj2UN2g9P3BqPaZaeD2YnG49xuJuPfcHdz0fwX49XBl3PVCWcT0HaHI9jUtuPWFveT31noU9ln+UPbkDkj0RO4w9u16IPcHyjD3+WYg9o1eFPangjT0gwpE9KHmJPbL0lD1sn5M9wOaCPTFUgT3wAoE9s9CEPVdDgT122Is9TciPPQtEkz0lT5U9PJCOPehaij0Jl4Q9fgiJPRGpkT0wiJI9VT6XPeoRlT3vapE9UO2WPWFlkT2b35E9Zq6TPXVnjz1o4Y095ASSPRhkiT1dqo09ZuKPPTtonT2zr5Q9QPOVPWDKjz2u2YE99k9/PWyqhT0Xio49lsuUPStVjj0hnZQ9uWeYPfIVoz25T6I9U4amPYdnqD2eo6E9TfWfPQ1NoT3OUaM9UeWsPQmSpD37UqE9m+miPUjjpj3K3pw9FFucPY/BnD1u56c9jpSvPT3nqz2uT6U9i+ulPWxOrT3ZVaw90o2rPdhzsT1cV7M9NimyPRWOvz1xnME9VXyxPfTUsj3LTLQ9lUK3PU9KvT017LY9/vu1PY1utz1jnL09QDG9PRqzxj1Z68o9aEHDPQrSxz222cY9RoG+PTo/vT22cb89aFXMPb5zyz2iB8E9yL+3PS+0xD1fV7M9mSW1PeTJtD285bI9h2azPRPRwD2EAMU93DLDPY8xwz3elco96ivEPW+4wj0zZrE92lqWPXAFmj3CjaI9So6oPbNtmj3OMZs9z82iPYxEqj3vCq49Q8GrPSS7rz2yF8A9+KC+Pdj7vT0Zwro9uKG/PcoEtT2PabM9b7i2PUqKtz1MQ7890gHCPTVGuT3buak9WyapPevWoj365Zw97l6dPUUpoz018K09REOzPV6TsD0RQLI90g64PR2Fxj1sVcg9gTDBPfPguD2AzrA93ly5PcSGuj0aorM9cbWoPee7oT0QNag9bAahPUwHij0bbXw9AGWDPc9chD0JzII9ESKIPWkyiD3AvIY9CAqRPdUfmD2ga5k9rG2aPRMukT0lpIk9E35/PdJagj3dnIQ9zbmHPfypjT0/rZY94ISgPUTroz3+AqQ9/d2gPY+2qj1xjrU9LFq3PdA2qj2D3qQ9VDuLPRHygz1/RZQ9FoacPaJLlT0ZOJM9TQWOPbzThj2GaYo98imOPeQGij0qa4s9eVKEPTSXez23T3894+WDPU4NiT08W5E9mu2SPfrbmz1Co5496L2ZPbhVkD1z7YY9hdOGPYnZgz3wqns9GXdsPXoeYj37m1c9tilYPQvYZj16fng9knSBPQeHaj3ZgmA9ebhXPTltST2stUU9ZK1APaFZTT2H7VQ9hlxPPXx8RT1zpkE9VPw7PQTkQj04tlA9o9dHPVoqNT0Q5TA99yI1PWzNPT2bLzk9UJY6PXKfRz1hnEQ9BppBPbu+ST2h3GM9Pf1iPcSUSD2oFyk9oeUmPRnlLD2OiSo9V+MvPT0CMj2r+y49iqszPT36Oz25Njg9KVBAPVPDPj19t0U9Prk+PTHJOz2nJTk9rp8tPZG4Nj2OjDs9u+Y8PcvART0E5y89cDcjPcPTIz2IoCc9XwwUPTQ6Dj2jogY9GVEMPSpsIT1bMLQ9EpoePl9PMz7j4Cg+qMUTPpJiEj5bzho+OkYePnNhHT5xhSI+Mw8kPhGnJT7xayI+hZ0YPjxEHT6G3iE+KgIiPrGzID7yyB8+m/sPPiKPET6Nkhg+yE0YPsEnFz7roQ0+XFoDPlbFVD0f+U08Qdt1PIRVgjznG6U8NB1zPav+8T0TFBE+3pMjPrGpJz77QB4+/G8TPi40Ez7XEyU+dhQkPswdFz5ZeiA+sfUhPgUyMD68nzk+AFozPgfEJj5uLh8+ZZAfPnQ/Lj6flTU+j680PgVrMT4IXzA+yTIyPqkZNT64ZTY+UQRCPss6Pz6j4EE+XvZOPq8cSz7w6Tk+RLs3PgZ1Zj5DMGE+1h9VPmanTD7g00s+QyBRPolrOz7PRUc+Vz5rPuDfgT4ki14+uMlOPvg/UD7VeUs+ynpDPsrZTT6CoVs+2xmOPmG6jj4P3oM+HJNdPrf2QD6Z5CM+HSlbPuX5OD5Q7UI+TyZXPhG9Nz5ZBBo+DPAoPrc6Lz6+9Tk+WRZFPlUTPz4Ww1k+8WBVPjn9Tz55s1Y+Y2k8Pv41JD4MbDM+O7gwPpJsPz4Z0jU+2DA5PqO+Oj5Fnzc+Cn9PPgQOPD4kpiM+AfgwPnZqMT7cezU+sdAvPpwKLj5mJjk+qqs8Pt/2ND5CsS4+Q0pSPhaBhT5Vimk+xqRfPv+UfT5Xg3E+gzkxPitOLT5fwzM+hpgqPluwKD6AuCQ++YgiPssETT6AHE0+TX5JPiQmLz4PBVg+adlNPizWMT7UOic+zzskPl6dRz69sFM+6RVOPu0PTT6x5zU+WtYpPkmfNz4NqSw+By01PvcIND6gXzI+hBk5PgirOz45IUI+twE6Pph9LD4HriI+I1IhPmYqHz4kRic+LwEdPgfLGj4kwxw+pGoePuAfQT4x1zY+LUYcPuQtHT60Xz8+4pRKPgxxPz5sOE0+UYVFPpPcRj47RSU+c/kNPmFzET6nJCc+IgcwPigHPT5ZmEg+JZNnPlZCYT6WhTw+19IjPjZjFD4y5Bg+gwUuPjeOMT4ktT0+nEc9PhA7OT5u4Tg+B9ZOPtWSSj5gLkM+U0tHPqWcRT5AnUM+yiFEPp0mPT5Q6iw+HpM6PgV6Qj4I9Dw+IDhCPvSxPT6DgEo+mt9gPlBfLz4z4SA+m9g2PlSXLD4usSA+woEiPtEFPj7ZU3U+jhNGPob4ID6YzB4+7+s1PqkpLj7vFjg+ReBKPm+eZD7EV2A+nEJdPnLQVD56o0Y+nW1FPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/RcGmPakQpz2XE6Y9ACq7PRs+4z2hOPY9VLbrPeRc1T1JfsI9p16oPYa/pT0FTaA9oimMPSMNgz3vL4I9i4SEPWAagj3vZ4E98UF7PcTUcD22fXI9lXF7PX7Vfj1stHs9UCGJPUeDiT0Lc4k9o3SHPbhdjD0pdYQ9Ur9xPQvPaj3PF2U9+mplPcMQdz0ej3k9/KJuPR6+ej1lAoE9pP1/PUmqhz358YM9ZWKLPdeclD0Ba5o9HgCNPZAodD1RaXQ9IQN+PezMhD3gCYU9ghB1PdRDcD10JWY9YNtvPdjRhj2h9Io9dFmTPSKiiT257XY99WRoPcpPXD3nXFw9J2aHPSdwkT127oU98fF1Pajngj3xGoY9Z2mQPcwfhT0FV4U9e7iJPZXeiz3mOIs9cMV8PQt2dj25wIA9O1iHPer+gT3B13g9if2BPXWLhD2hnIQ9lI2HPSrBkD1YfI89tCyPPYgehT3wI4A9FL5zPWF1cT2/DX89YxGBPfLLgj1HoYE9oXKAPePAfz1EYJA93T2OPVcaiz0aQpE9QziTPXcPkz13OZU9XbCRPVv0iT2GR4s9nuyKPQBtgT2as3Q9MjRpPeARWD1ObVE9oGxQPTcKaz1SanM9BGB3PbmZhD0nI449HCeMPVHLaT2Mc2Y9f1tvPUxedj37a2Y9su5ePSE+bT3JfWQ9N7pnPToHaD0g3V897aNwPWZobj3D3ms9EWNqPY1kZT3omnY9UrSIPZ5Ofz3CR3g9EFxsPdy+bT2bN2M9CX1uPZptfT1YjW89Bv5mPbMvaz1dGYI9uOqIPWGghz0SWHg9dHZrPdkPbT1BinA9e5x/PVg4gj29SHo9+0d5PTE6fT1DTXc9koN8PZfnhT3WPnw91rN3PaNlfT0M/II9FfyHPTNxiz3Fp449ZJKQPaWLjT1AzYQ9VNyGPRW5eD1KjoU9VvmCPU3ggD05AHU9m3d+PZahkD0HqJw9q5ePPZE/ij2k+Ik9IreDPQi9hD32CY49/hyNPU9rjD0TQ4o9tF2FPW0ihT3NO4U9GkuLPSL7jD3o7YU9ZH+OPXM5iz2UD4s9e3ORPXeykj3fT5M9mtaQPQgYjz3wNZA98P6QPaq9jD3oB5E9322UPadloD0o9ps9LUSbPXb+lz38wZs9YmeaPYUsmz16SKI9hMujPcCFpT3SzaY9CUShPXWbmD3jDZA9k4mVPSZ1mD0IEp89qZywPcB/tj3b9bo9eZenPY76qD0/s7E9666vPTsUtD3tZrY9alK7PRudsj2HerI9udWzPaiJsT3LHbM9uHGwPRmhrj3GDbE9j2y+PQ1Mwz1/m7I9sU+sPU7puD0bfbs97KDCPevIxD030sg9qj3GPTMIuj32Erg96dG0PdFKxD0YB8w9NcrBPRgmsz19YKw9ntOoPVkCsD1UdsM9uBLMPfg8vj3wSrs9r5y7PZ7YxD1casQ91Ru8PXWawD2chbg9la6+PVgDtz1YXrE9pVuoPYFBmT2mEp09cLmePdowoT1l9pk9PE6iPda8rT1UUbc93FW5PdKXrT0fTa49omC6PXj3wz3mvcI9xw3IPXmouz3BSas9VdClPedkpD1+wK49uKeqPRX+sD3+7K89daylPYBxpT1fEak9TD6tPZb+sz2TO8E9fjHCPSkSvj3FkLI9CHivPbP+qT03GaE9/DiiPRnkpz3rTrc9cTG8Peplvj2mxLQ9uHepPcfOlD30CIo9oIuHPc8fhz1Bf4k9byaDPYhuhT1lz3w9e7d0PRMhdD0dQ489EX+UPdFLmz2rrqA97yaiPQR8kD0o7YU9d6x/PceygT3BVpA9UoKaPZNBmT1ns5Y9cWeVPXt6lj1sLpg95lWbPSc7oD2wn6I9BG+1PeVbtD32HKM9XMKTPXxFkD396I09hnuRPa48lD00DZc9LoCXPclWlz2Mlpc9yTqTPdeNkj3yCIM93LNqPeBpbD3g+3g9VZqDPYEehj3+r40962+XPQcCmD0h9Zc99P2IPUpjaz1XEXM9rox1PQaNdT30tHc9K82CPSXOhj0RF349XEKBPewtgT3nW309BnV+PQRdfj2D/l09ADpKPdJ1TD1uBUo9VVNIPe1UPj0OoDo9h686PWJ7Lz18LTM9ABMyPRjuMz02/zg908pGPU6OTz0vw0g97b8/PaWOST2wD0s9p31LPVDmSj3SwlU9dcBaPesvVT2Thkk9KuRCPY7NOT0XWDM98LAyPbu9Pz0B9TA9qxkwPUIBMz0Wty495q0sPYnfJj0U4iQ9grcsPTzlMz236Tc9xdQ/PfmmOz3tZD89kixCPZdfPj1fsD89W6ZFPQTGTD0VyEg9J1c2PUaqMj2LkjM9AacdPT39Bz1gawk9nqQUPa1HGD03MRU9gZixPSKqQT6a1zo+0EQbPri1Dj4eEBM+ORYdPqNUIT4q9yE+cCQhPl01ID6KKCI+U9YkPhjiID5LhhU+TewaPukfJj6rHig+oKMiPqcyHj6GNRY+xgUdPgFSHD7TRRo+zEgPPlUCzT1OyQw98bVvPNBNizyDWjo9n7OGPa7bDD56JyE+DksiPhFeHD7phyg+EwAoPpplGz7FuBY+fl4nPg7jMT5lZgw+7PcMPkw4KD7hOkU+x4dPPn0PMz4xEB0+IpYdPlH2LD5m9Ts+FlU1PiMbPj7UxlY+SKVOPu5tLT7jfx4+qvQnPsVFPz7OOEw+fo5GPhZpMT7v8Tc++YgwPrCSLj6nrFY+rLFYPnjDWT4iKFU+3IpbPubbWD4K/VA+v81LPqlHPz6gMkU+pZlPPudjQj7ffzs+s7k6PiNGQD5bEU0+Z9pOPnoJYz5pi4E+NmFhPvYDTz5VjTY+SYYqPpNPKT4SXi4+WCxKPthHUD6CtDA+ahsQPnqdLD4dhDg+Iw0/PgxbOT4SMz0+fNSCPrDSmT6B2mM+wahbPkFFWz46DDg+0+8rPn4VMz7DVEQ+yxdTPrPZOj7obBY+AyMgPnEjNT7BWkE+IB5MPl0TWj4ZZjs+YWQzPqdqKT7qxS4+CSJAPhOxQT6JgTE+mkQ4PhAxRj5C/D4+Jd9IPkfuSz4NB14+49lfPgwuNT6c7S0+UQotPs8cLj4J7y4+lysmPtVTIz6cJjI+N582Pl2wMj7y0R8+MjlcPpB7Tz6NGTo+XmkwPtH/Iz7V9EM+XP9YPlV6RT4ihCs+wd81Pu/RQD7LT2w+pUw9PrxfKD5DAUA+YE8tPs1GIz7ODTU+9ltHPhkdOz40iyQ+NcEpPuZFLT52Mx0+8vASPruYGD57/RM+46wYPpd+PT5/UEU+VOk7Pn3zKj6IXSY+paAaPrdLPz4Mf0s+KPJfPlhpSj5me0k+BIE/PnawJj4gWSc+poc3PquNMj7yHCc+uiofPl5bLD7izC0+g6EsPmoBJj5Zxhk+TgwiPh+fOj7HzTo+Q/U/PgZUQT7URDI+n8QsPvmyRD7i20c+xPxWPhPNSz7Hpjc+tuUwPi8GIj5sBSI+WwYiPmSPST6BylY+OBFmPv57YT7urjA+XN4xPjfeQD7nai8+fQoePkhoHz7cjRs+0iQWPlHbID4vJDU+sbU0PrqTPD4T4Ds+9dgyPhbEOT74Zks+OD1tPvqfcj7XyGQ+p1lQPi4JTD6rU1I+r7lHPnGZXz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+FAoz3hQKM95I6vPZ+5sD1FJcg9AWX9PTlw9z2e8Mo9kCW/PdVIsz21Kaw9EF+bPcu2hD2OPXs9feh8PcLWbz0762I9PBV3PdsOhz0IWH89rGF4PdgRgT0ZhYo9woKQPd9+kT2Tw5U9Sr6ZPfo+jz2ckIg9ceiBPaafWz1FDFg9bSZZPTbzbj2F1HY96kN8PVUQdT21eng91SyAPfm0ij2croM91JiMPZjljz1lcIg90ZGGPXMEgD38WGs9M7mBPbg8mj0y+pk9SvCQPb6egz3QmoI9YQSKPXEIhT0odo8955uSPWXVkT3IW5M9MC2PPcmIfj0eMnE9jft0PbR1gT0TlpM9gsSSPbqFiz0dkH89nDiHPc0djT3Y9Jg9JHuYPSAfjD0Uyng9k0aBPcIogD3DAYc9t0OKPV16gT1uVXE9r3N7PYAOfj3FWIk9rECRPQgIjz1ElII9yOl0PZOIbz1eQ2k9/mF/Pfv5iT0iQI89WtN/PV1+gD0EkoY9fC2LPb9ngj1A8oE978l/PZ69hD2/CIk9qqqHPRsWgz2La3493FSFPUf8gT1hF4U9Lf+HPenrgT2mCGc9EwlrPZuSez320XM9EClvPZ6mbz0W7IA9QuaAPRxZij2mM4Y9SD2CPXrleT3QYW09w3t+PQeEgj2weYE92Od1PbjvfD37LYc9RBOHPWZvdD0PYGI9Y9ZkPV68bT0DVn09nnJ/PQrMej2BsnA9fWh3PTwEdT2Es3c9xIKEPSHVjD3B6YY9iPmAPTgngT2w5mY9jKRePY7cWT0/ZGs9vwKBPSPrej0vvn09Est1PcOPej2ApH09aOVxPVBQij3+gIs9fB5/PcEMbT0TzGU9AAVtPctcaT0NDVo99RFzPYiefj2fy309zT98PapcgT3I0oQ93jqCPe85hz2W1Ys9Y/uMPT7fhz3e1X89aqqEPf+Igj3KTIA9eQ6IPW5zjz2GZZQ9yF+ZPUrzlT3HHJM9uQWQPTtTkD3XS4g9UECHPauliz3SzYs9L8qGPZE7jT0rR5k9yZiSPSCvlz2O3Jg9ZQqJPex0hz1J64Q9teyJPap+kT2215M9IO+TPdzUlD3/+Jo9QO6iPdK2mj2JWpM9Q6OTPV5nkT2NlpE9OGKTPRgDlT2r6Ys9taeMPVBRkT3PnJU9Y+uSPe/3kj34mpM9eG+SPV7lkj090Jo94zKZPSP/oz2KtKE9ebmjPVbRsD0vSbg9zHGxPYN7qT1prKw99R6sPYJwrT2FYbw9ZCzEPVaStz10obQ9d5WwPb2ksD3FNLo98EW4PVu5xj0Wcco9E0e8PVN6uT3OILo9qO66PdZdsD0ULKo9CimlPQMhpT15yrk9LUrBPcEqsz0+YbQ9IUC4PfQ2sz2fELE9hJ3DPaJuwj3vYrg9kUi2PcgquT3Vib09koy7PXfswj0iZMc9LfvNPeT7wz17gL49jgy0PZ/Jsz2P/ro9pre/PdKZrz1xmZU9b6OePacNpz2LXaU96KujPX4CoD3+ZKM94CmmPeOptj24gL49eYK3Peuhsz3l2649y9S0PRi1vD30Ub896e2+PfpXwz1Jqco9kuG+PXCNqD1LYKU9c6yoPagiqj2lm7k9cUvBPUvStT2WLLY9HM+zPdubsT2E3a49Gqm8PcBxtT3ARKQ9DpmVPdeekT3tL5E9j/mPPX7jlT0ZW589WwmqPU1erD1bCqc9goOdPe1xmz1K35w9IYKSPfRwgz0J64I9SBGKPbuqgD30kXo9F/t2PUL5az3tUms9TeuFPQYrjz1/64g94QyAPeZ0gD2/nn49NcmKPVRPkT36apc9oMWtPX9Eqj1x7KY9QpSbPVnxmT0Rc6E937anPQZKpD0iBKI9pJOdPceloj3Z2p09iwOOPT2ZgD0iWoA9KO2EPZEuiz1Aa409oM+PPTroiz3DhI09wTiVPdYWlD2tK449wJOGPVjibz1JoHA9XB6DPY9biD01z4c9TgKPPavbej0e13o9oa5uPQ/xUj1CvEo9jD1rPb42fT1QMH49xjp+PVOfgD3XL389ESyGPddOhT0JaoY9JNt6PVyfbD0BNmA9/rJGPV4dQz3i7Uw9r/pLPSvhSj0gmkE9p2U/PaGoMT1q5jg9+BBEPRFeTz3xV1U9TOlPPXnsRz3gZkg9NpJAPUx/PT2QQ0Y9VshAPTEjRD3Q/Ug9iKZKPcWWRz2ZHDw9unc2PVYuND0EmjU9A9QxPdkzLz3ugTI94/coPdxWJT0MsCU9GzMnPfQMLT0jxzc97lM5PcPDOT2Vsz09PCdCPSCUSj2nN2k9CSl8PXWqXT0JL0892XxLPR7sWD0L72s9RmhLPQmLHj0f/Bk9GBIgPfy1JT3RVTc91ipFPYoTZT1wz7I9jcjWPSk3PD6T1ks+m3MpPgqUGj5jqxo+hbQcPqPEIj4vLyY+EI8mPmKdKD6uDyQ+H/8iPgXKIT5zPSA+cNMPPjpZDz5E4xo+9I0fPsK/JD55riQ+MrgdPk5IHj71HyA+gTsUPsiVCD7CjHM9kXXmPNPgTD3Br4w9+lMBPuLDDz4vICE+tp8LPqMnDj6Ogw4+eBEhPrRWIz5ZWSU+4AEoPgjTGD7QJxY+Y1clPkz2KT4lLDc+f1s/PoDONj5SFzM+YjE7PkL/Oj4mCDc+4F0yPn5YMD5oWio++nQ5PhlZQD6s7UA+UpowPop2JT4HGjg+rWhBPiEYRD7J/kQ++vxHPgdCNz4nHSc+HN5CPhkxUz7EOz0+7H0nPgDYOT5N3S8+1mwuPqfLQT47iTk+tQlDPgdBXD6ewkk+ACA0PlTpMT52fzY+tVw8PitaOj5VxDc+tXxEPqTFRD4NxTg+tTg5PilsOz79DSY+v8kpPu0OMz6/wyo+nRUXPs81Ij5mgi4+A+46Pu99OD6JcDY+Hbc+PvbSYD7lAHU+w3BVPoA5Pz6FU0M+dT0oPizvHT4xzio+PSg4PpMNST7sL0Q+VyJBPiSCMT7zaSk+h64yPgHNRD72UUc+uT4uPtQOKj5uCyw+sQ4qPgPpND5+bDk+d94/Pr+xRD4FD0U+0+09PqPMUj5x/Vs+khBHPmmsfT7KS1E+wrEyPlTFQD59X0o+Vc40Pm3FKD6PlTc+AoZCPrmDOD6LUjo+D4tQPks3Wj5w1Eg++wBAPpQdPj7HNjc+abMfPoEJHT6QyTs+dehVPvVFPT6YNj8+tBdSPk9bPT5hGS4+eVk6PkKsLj7L7hs+chcgPu19MD6t2y4+gYQrPqN1Kz5xYSU+p+QjPgFlID7lEyQ+CS0hPvIAGz7cDyE+U2MkPsnzLj67LDM+yIJAPi8pKz7oBSs+SH82PiZyXz7idkU+nz9FPoj/RT6i4CE+oBQhPn+6KD4keCA+5McnPjXSEj562wc+SRMLPqqfEj65Qh4+C74YPgjWJD7dpEE+8SI8PjfLKz7uCik+Mf40PsAhNz4S6zE+sL5MPh0ETj7AFjI+Odk4PnXBST6Wmlw+xsE6PpHUMz6elEU+4jpDPrhXVj5IDFI+238uPoZJKT7owjI+zH4nPo+WHz7npiI+C5cgPsI2Hz4kjSg+FOcyPvoNKj40ozc+1jJBPkOERD7+BlI+c/FhPhtlez6vvH8+AtRqPsQdYz4pGlo+MRhSPq7/RD6NZEw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9Q7sk9uqzUPc4q4T2u29s9x7DZPSyy+T3TsfU9mqGzPQB2pT13OJc9uYyYPZTWgD0bGHE9UkVsPS0BaD2h+nA9OgJqPTIKfz0BZZU9sWCMPQHYgT1PlWo9bO2EPahDiz29GqI9FqynPUMCnT0kWoY9gzBhPTj/ZD1ht249VR+DPXawhD2Rg3E97Sl3Pd9+iT0l5H09g9xzPSO2hD16Boo9QzuUPZNDmT0IqJY9OpSNPY02jT1LW449bVuGPZuJhz3jNIo9JPuHPUjnjj18t5A9VGGPPUzuiD0m8449vAqUPcUQkj3OnZA932GHPdjEeD1HEns9ZJGCPW6xhz3++oY9nw2APQZXfj3cyoQ9cw6EPbm1hT06VIg9NM6KPTDDjj1Vtos97PqVPTMAjD0MQYc9d318PWi2gj036oM9Cn+CPc3hiT3Kloo9ExmIPbBvgz2kDYM9Nv6BPUlAfj3moHI9i6N0PRBcgT1BQng9WtNuPbsngD1uu4c90guKPTAHgz3mBHk9yrSEPZ9xij0BkpA9uNSQPQpolT0qJZI9lnSKPQMohD3w1XQ9Y+BrPWwTaz1xEHQ9qvt2PcEzfD0FOYI9Le6APUZicz3Gu2k95cF+PeN1iz16u4M9KUF/PbVEgj1AF4k9izaJPZcshj2/DHU91p1wPeBNaD3gSWg9RP5rPbRAbT0/c3A9NrFvPbhEZj0Q4WI9M+lzPTbFeD0fjX893EqGPbvWgj3Ctm09AEqAPc8eiT2AzpY9L9+aPT6cjj12DX099lhwPQGKbj1cw3I9dSZxPch7cD3LPHw9S6+DPScUcz3ZS4U97taLPQ9Rij23EIA9XMhtPY+saz1F0W49tzhsPYIFYD12bmQ9yftmPdsGeT1S5n49FP2BPXVmiD2BQZE9E7aPPTWjjz1aG5s9CVCgPbWMlT00co49es+MPSVUkD2anY09bSWKPT5qjD1R8Yw9f0mFPTYzhj0NAo49Gz2MPcJbjD3i6Yg9LeGCPZ/nhz2osY89cUGXPdHBlz0Sn5M9B2OPPYbUjj0nL5I9okaSPQ4VkT3n/og9q9KCPWG2iz1eg5Q9htGOPcQJjj2nfZI9CcicPRhhmT39GZU9ANeRPZuHkj05q449e06JPbCKiD1VXpU9yBCTPZNOkD3Ij5E9w42PPUuZlD21/o89PC6SPVjJlj2HZpc9VaebPcnDmD2Lbp093uKmPUQzsj2Xb7A95YmvPXfHsD2/X6w9CcOnPYT+qT0wkaw9Z7uvPXDLsz349689RkirPWNiqD3gQK09m7WwPTCcpT0PprU9tPnAPdtEtD1vFrA9XYK2PWr/rz1Znao9JLavPZsMsT2UTbI9zX66PSY4vz2Yu7c9CGS5Pb+Lsj1wvrI9WXSwPUHQrD1hFsQ9xNe4PSQruT1MELY9i72vPWLisT1PLME9siLIPcUqwz0A6rw98tm+PS2yuj1NaKw9HRKiPSJ1oj094589k9qfPStoqT2H8689PXGmPVR2oj3QWKE9XoSoPd4Wpz2ZGqs9GY7JPR4bxT0jtbg9piu+Pe+/sj0uCbM9fyysPTgIvz1ibc096gbAPW7YsT2BIag9RXiqPSxPrT3OYbA9wDa+PdZ4rj02ALI9yLGsPezlmz3NDJY92kePPbj1mz3bbp89Z4KVPVTllD3B3ZQ9Lf2RPVw3mj0IxKQ9mq2nPWSbsD1EA609H3WsPRHKlD3u5Y49lLGTPXmFlD11W4Q9w4uAPeWdgD10hns9IUOGPb/GmD1YM4096YCKPSYujj3YMo49+EWPPdt6ij2+C5I9/uGTPYGUmz0PtKg9MdGlPSraoz2juqk9UyOrPfuQsT3skLQ9BqetPVRyqT0Rf5w9MLqbPf3tlj2iHo09GRqFPe2Yej1wjng9Jux+PbPugj2yc4U9ZfKEPXa1lj0rRJY9QHORPVThlj0VaJw988WZPVK7kD3xFZA9SdOOPV1BkD05d5E9EFGPPbHphz2HnFo92TpdPXiqVj1ielA9opNvPSWfgD3w5YY9hJeFPbtVhD3lpYA9k4F9Pce9gz1mEIE98vB3PVGidT2NWWo9FjlbPU6GRT2xlkg9RS5OPXiJTz10XVA91w86PWQHLT06CCs9HoE5PTCnQj0dLUM9GkxDPfYeQj0edCk9zxkkPWinIz3gTS49P9c+PZ3gPj0KLkQ9nxNJPc6UQz3IKzk9HKIwPVuRKD2DQCU9dgIrPXY2LT32Hik9onUjPQCSJj0oaCg9GYguPa+sNz2Em0I93h1SPSPjTz0Vy1E9NpNUPXBjVD3GQE09mMt+PUD3oD0cgns9ivmPPaa8pz2Ju849A3K/PYjPPD0FBQc9uTgePUnWKD1a8DA9Vgt3PTwHmz2Ta7M9YCP/PQ2aDj59GjA+crk3PjOpHz5KMhs+5OMZPu96ET450g0+hb4KPjoxFj496SU+D7IkPjgbHz64Hh4+36AbPjU3Fj4JtxM+1loiPlVmIj7JjCA+aDobPtpdFj4lqBs+jtogPmxSHz4ErCA+5ggnPqn6Ez7EWiE+9XMePnA0HD62wRs+inERPs+bET6opRQ+doITPlpwKz6Zki4+Xr0wPvYXND5fBis+qRspPjdJJz5EYyc+1dkrPon2Kj5j8DM+Keo8PvshMz6JRDU+YjM7Pj4YPD5BQzM+t38oPhHcKz6z3j8+NHdAPnz7Pj7qujY+1I1GPoSBRD7vezc+rME+PrpeQz7mfzI+bk8mPiyQMT57m0U+bmI6Pm2XLT4AfS0+v68jPn+gND4/YUE+lKRDPhfTQj5Ni0U+zwYrPn8xKD6POjs+PVVEPgqvRT4Kpz0++1slPg/8Lj4MzDg+H4o1Pia9Oj7IkUg+Nk9DPs5aUz4vozA+vZYdPpZWHD4LfEs++8A9PvOJOT4Rh0U+ie9RPtoMOz7nKEE+6/ZAPry6Oz54WTY+9wY1PncUMT6pdCY+WDczPnpFMj5Le1k+6MdxPoG2cT6HREI+ROAePifOKz7Q+U4+du9QPiGgNj5hrig+cMs1PlwYNj5ZFzM+TeAsPkpQKz7sSCY+GdEfPn9hMD7AZEc+425QPlHRNz7W1lo+iVpSPgVkKT452z4+OGpIPkgVNj63oCw+JnksPhOrND65Dzo+ilEyPm4/Mz7WqHI+QrRYPrN1Nz5xOTY+e4UvPo3pKT64ew8+6No/PkbxVz5wZjs+z/FNPu+tVT50kVk+9sUmPjJhGj7YRS4+teMoPs7qJj7yPSs+In42Ps/8OT7ubB4+flgbPmqYIT5KDTs+eG84PvUaOT5IQkQ+XEZFPp+tQz7cO0E+/AJMPpflRj5SYTQ+fqAxPmF4OD4lgE0+sWlAPqw+OT7wZD4+8Do5PrZ1Wj5JO0Y+ink3Pl/bID47qwU+B8rmPfHD5j27kfg9v94LPqSCCj4z8hs+ei44Pn2iOz7yezY+frIxPpPMLz5jJDk+HCUwPmg+MT6u4UI+6axMPu92QD7rTUk+aSlEPk0XRz5CZEM+0DsyPvI4MT4qDC8+pF5EPrqlQz6gJzs+9uYnPmWfGz7VfiI+0bMsPts+KT5ctyU+RrwkPotYPT6bSzE+y8wiPuexMz6yRzk+egs6PgGBOj6i6ks+cIiAPhCwaT41hEM+K2BLPupFTj4CMUA+9O4uPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/1AS9PS/Uwz3cLc09e8f/PWP2BD6V3+k9sRm9PT4dnj1w2ow9lFmEPS9CgD0F6Wc9V1ZpPVPVZz0QCHQ9ci96PUzSfj0Bano9kKF+PbRvcD2aN2k984tpPXTWVD2ScHg9pMOXPbpfiD3KIHU9e8pwPZekWD3/B2I9L7hmPfcBYD2mNWo9lVZmPYGOgT0uCYM9dh6HPfAKhD0mloU9iEuJPX6zoD0L7p4903uvPRhGsj3KpaA9LUOZPYSwiz1YtIc9GIePPTc6mT2LXaQ9mv6lPUallj1l3Is9RRyTPTuwjT31noY95JuJPYCmhD2xX4c9sBKNPcOyhj2W4XY9KoqDPaVngj0PvIc9PsOEPepFez1mdnM9i+2APYVQhz37S5Q9IIeNPZIThj1U04E9sI2DPe55hD0UYZA9/euZPc5BhT3wFoQ9k6uHPaOUiT2AGZA99wGUPSzPhj38on0926N8PdZlfj0bu3w92iF3PTI2ez244Yc9onGGPc7Ygz3sJ3I9VD5sPRcbjj17+Zk9r0SdPbsFmz3MgJs9RlucPaXghj0Kc3Q9iZh6PbtzfD2FdYQ92e6MPVXecD2WwFc9d91aPXc0Wj2JuGg9opF8PQgbgz1Y4o89tBd+PZZGeD2kCXo9/2h6PaodZj1Vo089UFlTPW1GYD0sGmg9mZRePdgNcT2PwnQ95QpqPWRYZz2lg1s94cdePTOYdD0zDXk9teiAPcDCeT2DQWg9fyFfPWCbfj0ox3w9Jh15PXx6eD2X1mk9WelrPWMEfT382H09FqJ7Pf1RhD1oGYg9SBSYPZvOjj0B6Yc9VRmIPeqcjT1Mio09JA9qPbqIXz2Vsm89F2F8PdVvdj20IXI9cd1vPS4Ifj3yeI49X6yAPQxChD3nToc9NxiZPV2ikj2qiI09b3iMPc4Lhj2WGYQ9YpaJPfdCgz35x4U9roCIPQpwiz1DPow9Pr+GPXGahD12tII9T7GOPbTdjz2sQ409aduJPbyPlD10aJI9v4iPPVJ2jT2FhIw9YYWHPZ17gD2dYoY9qXSMPbgpkD2PMYw9aZ6KPdiZhj3UzZE9uXSfPcDImT2KzJQ9EQ2WPSECnj2A5aI9lnKgPduZnz3VS5k9FkyVPVRriz2SWY89lZKXPVA0kz360oY9wl+GPeuBjD1qaY494U2WPQtumT2yIJk9bcOcPdmOpj2AZ649wPurPZZtoz27SrE9+ZmtPbkMrj1AarY9sJm5PfMPqT0+AKo9A5CsPVN0rD2JJKU9MhCoPclesD1lR7A9oIKvPWkLqj14xaU9fje/PSu3vj03gbI90ByrPamZpD36bJ891JuiPTznpz352rQ939G4PdMpuj1ES8Q93EzAPfUetD0T06k9lb+pPS0Rpj0VpJo9r2enPdPStj2I17g99te/PV5axD18BL49k8S1PVnHtD0Y3q09NMauPehGrT3gEbA9PWGnPWSjpT1G0J0997GdPShcpD2cX689lJiuPSVSqD1oiKI9PXOgPXfKqT38DLk9bji9PV4fwT2U2sI92PHAPbeDxD3jHcQ9fEC2PfhvuD27gbw9kMa7PW2NtD3dQ6k998SxPVM0rz2XM6w9XVyuPXjgrT2cWKc9ADWtPVWLoz1lEJ89kZGgPQDuoD2kmJw9W1CbPVjKoT0NILA95c6oPWi5pT0zqaM9HTyrPSM5uD1i1bs9sQOlPUeonz2aO5E9nhaIPdoagz2PUIE9jvKEPcYDhT3XGIk9n8WKPeOcij006449ewCSPeGtkj2eLpI9mlCWPeQZmD0yypc990uOPZKllD0O6J095YqvPW1krD3O4qY9p+OsPVyPoT1y7aU94SejPV7jiz3Xn4g9OQqHPeAdgD3am349Vfx+PQvbhT2d24U9DzuKPdG9iz2gSYs9ileJPTLVlT20wpo91qiNPZ1siz3T0ow9DPmOPcfBiz1U7JQ9zMWOPfYoiz2kQYs9h+qKPehmhT0qo349RpxoPc73WT2zyVE9dKZPPaXpYz2eQYU9fraQPaashD0f/4Q9YPWFPTpBhT3RFIc95eZ0PR1Kaj0593E9SbZgPS+EVD2oDV49IPtePbsITT1IBUs9CqJHPcUAQD02aDA9ZuoqPQuLPT0m5EQ9FyBGPX9ySz2NzUE9FsE0Peo5Mz2Y+Ts9a88+PYWNOz0Vt0A9YOJHPTMmRD3LzDM9N8wmParrIT3FkR496/8lPapmIj2HtiE9fCMsPRhYOT3eGDc9g3kvPcb+QD094kk9gYBOPaRYRz14MkU9L7JQPT3pVj3ZoVo9vCxZPZMpWT10h5I9RwsAPtz+Lz4PHDw+4u9PPib2FD6BGII9mKGHPZLufT19uk89ICJRPTdAxT0flTA+WBw7Pr8nLj54SyU+ajckPmGWGj4GSRY+WLAgPtJKHj50ahU+T+gSPvkcCj48BB4+AgYnPlzLJT4Ddx4+MjIdPu6aIz68Nic+UJwmPlPlLz5cRDE+JkYwPoluJj6c0Bk+7+gdPovtKj5qyy8+CaUxPpmAOT4gryw+BUw6PhZhIT7tWyM+la0cPpeBFj4oVhg+spEqPkbAOD4DmEw+FZxoPvHYVT6650c+ffNSPqeWPT6UEyY+2aUpPkRmLD4dxy4+8KYyPvrKMz4nhCw+em0+PrR6Xj59pnc+q6tAPg90Mz6i1y0+OupAPu4MTT59vlo+D6FGPtFtRD6sLDE+mSwmPsCbNj6cUUg+Pws4PsjCLj6TMDM+yJw6PoqEPT5MeEE+HUY3PiCPFj6ebyU+Lk8hPrkhKD5v+yY+BI8mPpd4Hj5Pyjc+j/Q/PrjhRj69AlE+36NVPkaCMj5yNi4+QnQ7Plu5Kz4R9Sg+9kQcPoTiTD6kmGY+fe4/PieXNj5TaS4+V+JGPjjBRz6HWUM+O7s9Pj1IOD5nLjQ+KQg6Pv7kPz7W1Cs+9bk5Pn1bWT5HLU4+W25FPl6sPD75NzE+Lq9JPpbDTD5sV2Q+LeNgPlasUj5Ppi4+iA5TPjYcXj7LSzs+mkEmPklIOT7ABzA+8H0yPqNJNj4qyDE+UMkePrqiJD4Hei4++Qw3PjQ8Pj72Sj0+DKkpPutDTT76fT4+2g0pPklVGz7eoRc+sMsgPrkeNT5dpUc+C5s9PmyfMj5dtDI+Bac6PsMdOz7jGkE+1I09Pr1fNT501zE+7c4jPh9YQD7JEEc+8Mc9PptOMD69mzA+8O1KPvhPLj70xB0+guA3Pu1PPD4X0Tg+KsYuPqU+RT7nN0g+nG0hPiV+Kz7wJTU+G7A9PoMMQz4Q8zo+7ps3Pr/sRT6K8ks+xYFNPsc/Vj7Nu0I+lcU8PhfqOz43+j4+LZ8+PhXzPz6L7kI+zVJJPtnSRD7zL0c+rz1DPuvMKD6WhR8+QQQuPjWCIj5YqhA+lfwPPgxNDT4TbBA+82EuPjB/Sj7baio+o+YpPtgEMj5wrCM+EUYdPgw1Hz4ZSyY+DukoPldELz7nnzA+3AhGPnQtND7JJjw+bI5KPo/2Pz6Odis+4wxAPpa/QD4XTyk+TowuPqilND5ZFDU+UL4oPqdQHj4JCic+U2EoPihcJT7A2C8+zbM8PjnzLD6fcC8+HegqPicWLz5vPzI+3XkxPmqDUT4QUVw+Mr5sPkY4Xz4e50c+ZAxKPm50RT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6Csxz3Rsc49StviPWE86j2FCN09tuG+PQdarj1yjIs97mpwPTmpbz3b/mk9kjOAPW4jhD1mbYQ96ymKPRutjD31gnQ9+SJSPbwsUj0HhmE9W8ZtPdBTcj0ORH89qbSZPWPGkj2fkmM9dfeAPcA8gz1E9Go9TeRiPWcGYj3WdlY9ikFwPamJhz3FYpQ97LiSPa56jj09QIM91wVvPfpwfz0ms4Q9BiifPRuIsz3Sfa49XfizPSxjnz2VqJo9o1eTPYlqnD2aXJk9KBKTPeXKnz2zuZ49X02XPeEXij0TOn09tcx/Pfr/ij0Ua4w9CQSQPanhkT3fcY09U5KLPW17jz2zP4w98ZuAPeuogT1jIJM9QO+MPfQpgz3YkoM9CvyHPXBJiz1Jsoc9kuGFPVSsnD2XQJ49P5CdPcuejj1Ln4o9wI+MPV5bkD0odpA9l0GPPWn1iD2AjYQ9mQCBPUDqjj35W5k9JiuYPc3PkD3xloc9j9V6Pau8dT2dqX89baCBPZqyiT2UhpQ95YeoPR10oz1DhZY9TseTPc5qhD2temM9IBBnPauhcj3IUn89uhKHPdwOgj2GKWg9wox1PYshcD2dcnI93Px4PZophj1CzX89RK6CPadJjD1HF5M9CMGHPWXhgD2bBHU9U2NmPSYydz3Ex3I9REtqPUQbZj3rLnM9cn5ZPcfIUD34Kk89tMhTPcgcWD2W1GA953t4Pc8sgD1nU3Y99h9vPVWHbT2f8HA95Qh0PWy6cT1sbHA9zKpsPVTSgD1924w9AJeNPb4Yez0ecnI9ZEl5PYTihT0A0IU9io6APW/Taz3vzmc9n6JmPTeKXD0cJV89ty5vPcxWez0uEXA9EXRsPccIYz3McnY9FUR3PSnYeD0jX4o9Q46OPab+jD09tYk9TFqGPRYjij0/H4M9rFmBPWzwhT2YtoU9XiZ5PbFYdj1j04c9aNCBPR7heD0fqoc9fJWQPaqGkT00DpA912KLPai+iz1H3Yw9d+mGPazxgj1fiHI911eAPXoqhD1IDY89YYWMPeSFhT2m4ZE9i4GUPX+5kD1W+Y89QYWLPbRFlT3UO5w9yquZPTuWmD2dCZk9MqaTPXc9kD3ll5g9Zi6PPYu7iz3LT4I9NjSBPU9ghj0NDpI9mreZPXPElT0xT5I9/XqcPSaDnD0VS549N5KmPXmnqD1W4aU9CZelPVdooD1CgbE96nGpPXZeqD1JHKw9ImOtPUBspD3ayZ09gNOqPUadsz3GY6g9TxSkPUH/tz2pNLU917usPfITrT09L609TKS2PUfBsz2lGLQ9Y0iyPUTVtT3xsrU9T0q4PX1qpz06bKg93+O/PTmwzT0j2cQ9fKfHPRWI0z0HN8o96US8PXNGtz1BILA9VvaqPeZkrj0KeKo9U3W6PcFYxj2c8cA905+3Pco5tT1G5as9chu4PWb/vT3Lo7c9bgi1PQj2sz38qaM9aJufPRs0rj0X5rY9+X24PWdAwj1W4LM9ESC1PTR/tz3Ksrc9U0C2PSPgvT39CMo9nHfDPe/qxD0RzsQ9tt2yPYi3pj0wDK093WeoPT9+rD06Ia49TQ+/PVsqxj3X8bI9soOrPXg/rz2/3K89ACOsPflFrz1Ch689Pzm4PRootT0igLM9yGm1PQ1wsT0YZLE92TmvPQ+Qpz0NPqE9HE6jPVnjnz3SEZk9+MeUPUZSjj2QGoY9ygF+PQ+Bez3tMII9/w+MPR0yij1AboQ9B8qFPYXljj0LkpU9qOWQPUjwkD1cSJ89i7KgPQlgnz3yKZg9x92cPSUuoj16z5k9N7WbPUmQoD3JY6U9VUqpPSgVsD15vKE9MFudPbEWjz3zI4Q9skh7PWHbdT2rcnA9Te5zPWqThT3hwI09dm2QPUwXkD2H0Js9qICcPTRioD1nlaU9NVKmPSzYlz1aDJI9dlODPYH+hD2SCIw9W8qSPbkxij3w+YQ9+GCLPXcdij2dBHM9O/1hPW9XVT1eo1Q9dHJWPWoeYj2hm4I9Rq+NPeaKlz16B5Y97/+LPc3HhD3rF3c9zWhuPWwDdz2pIXM92UphPYIDYz33R3E90qliPYEnPj0H8jM90MUxPedJNz1UFUk9EcdHPc2ITD00b1w995RbPf1kUj0h5Dc98GU4PRRaRj1mOEs94mtNPTYiPz1XkDc9LvA7PSHbLD1kxiU9PHwsPV4oMz0kk0E9lpBOPd3ISz3t00E9ITBMPa4/UD0JHkE9erg+PRk/Oz3Ehz89gsdCPc7DQj3vHUY9dklBPf87QD1Ifjo9o3BGPY1ISz2Krkg98IF/PViIAj4R5Qo+AcCnPZ1bjT0x5m49II+KPbLA0T2Yrug9Qiv3PRdb/D0F+xw+z9pAPiUONj4VCR0+ea0NPlyICz5QDRM+/KMFPpzbFz7VTyA+rzAlPjBXJj7bbiY+bCIlPrT0Fz5eZBk+XicfPj0XID5QzSA+QlEiPqinJj7M5SI+EcUnPppSID62phY+P2oYPoCWHj6teSQ+V0EaPiiMHD6hPR4+M84mPqKmPj40Wzw+x9IqPpzjGj4Cqxk+yw4fPvmXNz7BJz4+M4UjPl/iWz7mDWs+T7mXPjxGlj7mlFI+vxQzPv2lOD6VJTg+Vqs1PkvENj7eWFg+DyJqPpeHYD5yyGU+7iNqPvaAPj5PEEA+wag6PjFyJj7nGCo+M/M0PmRxPD7V+D0+UF8qPhLkFj6zeCE++VE6PsMDQD62yyk+k70tPuL4Mj4X6D4+6z8+Pv2nLz6OXCE+XtIfPkW3LD4XqTQ+Zc8tPlIgMz4x/j0+8YxYPqswUD7V1zk+AbM8Ph0IRz45wSM++uEYPmPhJj7gexo+WxsoPvGINT5IKj8+MjlPPiQ1SD6jrTk+VjEjPlwPMj6r2FA+/ms3PlggOD5pnDY+ALYvPop1KT494y8+BbErPqZlRD5FJV0+0w4+Pg9SRD7jCW8+EM5PPqcqHz5SnSk+aNxUPmOwgj5nkoA+I4RoProBVT6MUTY+e2sqPpkmLz5CKys+3McpPmknPT5pND8+Djs7PrT/Ij4wByY+AkA0PuV0ND5zFjE+L+8vPqDtKT6PFDw+rr5RPqGjNz5K3SU+GIsjPnsxJz6asjM+0Sw3PrM/Oj5odj4+hQpCPoz7Pz6NXj8+cs0wPvFSIj56/Ss+yCIxPnpdPT4K+DA+rU00PouTPz4Yxjc+HYJCPiWmWD7zd0Y+XM8pPub2LT5Y2jw+MEVHPj69Qz7/5UM+vR1HPkCrKz5mqy0+QPN7PiAFbT70lTY+wnEwPhlRHz5EbTQ+O7ZVPg9FWD75Fl0+VNNJPjp/Sj7hNzk+zTM5PltROj4reT4+5os7PpGLPT6tZj0+xWpNPoE1TT4zWDk+lHZFPrRzSD5NDRk+0AsXPhrwFD4AgQw+ptgCPnqPFD73kzw+RDwePvASIT5sPjc+inFAPt/BGT5yLAA+i2EVPuSRET48Eg0+GjYsPvgMPT7fgSQ+J202Pi2HYD7TMlY+3HQmPit7Iz7+4yc+UncoPhyFKj4aRyo+cIwtPgoFLT4VsCY+FIkpPoknKj4bqSs+/ykpPmyYKD6gfzg+GCFDPt05OD5/7TA+/jEpPl75LD6CASs+HVkzPm83Qj4IoEk+yYZTPvyBVz6R7kY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8HvO499ZnqPcRi2z3FRtc9fA24PUMYmz2jPHY9NU1fPT+DWD2W2mY9z95tPTC0gT1GjIA9eemEPWR2jD3Mkmw9SB5ePQS3Rj2o1009bhRfPVRFcT12fG49GYlvPfjicj0/bVs9n0ZYPQ4KYz3CsVw9pABdPVPIWD2N7FA9zmJ4Pb5niD1ih4o9+8WMPQQalT1Jx4k9w7N4PfiWhz2CXpw9066gPXvRqD0PbKM9lHirPfe2tz3DIKo9Vo6VPSFZgz2n9YQ9EAKFPROQlD36uJY9nRKNPfGHfj231n893Y6JPXLHkj2lQpE9rEWjPUpAmD2LEJI95eyOPauXij22R4Y9n4WJPTr2jz1XQ5c9X1aSPbsjmD35GYo9l/iIPW9riT2zppE9TNCcPfYDnj2/HqM9ifOUPYKViz2cp4A9oIaOPUGEiz2+5HY9FLGBPbbThT3KUoo9gAaRPf0Unj0rcp09UWGfPal4lj28XoQ9MsWBPWl+gD0xkYg93jKPPa3Gkz0i25Y9BcGRPQN/iT0wBoM9LONqPWZUWz3oWE49GCRgPUDPZj1Zf2g9KUlpPfObbD2B7GU9DBiBPauflD3RkYY9h7yBPRo0hD1kxIM9QcOIPUEphD0Jx3Q9wzhjPe1haj397HA95hqEPYVicz025HI9EQdsPYNeaT3xnWs95qxfPbGAYj0qimY9FmJsPbUsdD0lFWk9x1Z/PbJkfD3THXc9zcJ6PbDbfj0h0oM9I2OEPQzRcz0zwWk9NC59PUZ1hD2nSIo9hTOEPResfD3odG09Wut+PfPCdj0fjIM97uyAPXuybz0ea3Q9h1ODPUUtgz2ySXI9N3JkPQphdD1Ka2099dRePUaPYz3M9mM9htJjPRgpcD3QTHY94tZ1PSCygz27T4Y9KfuLPaAujD3Nw5Q99AKTPV4thz3+IYQ9AnF7PZt+ez1S7ng9yl95PTzBdj3UAHo9yD+FPQcmiT1Qros933mRPVPdkz07Q5E9ZOWIPaWpjD0t04o9WBiLPZrjhT2ogok9qXeNPbUJmD0HlJc9tUyTPZRTlj1uFZw90nadPRSfjz3Gapg9DmCgPfGEmT3klpM9AEWRPamblD26wJE91J+IPeM3iT3SBZM95lyTPQbdjT36tpg9NAShPQ0PnT2tJ6U9BriiPbPdqz1/OKc9JMKfPcufoT3g06I9yhOhPcRuoj3hrqE9T5GaPaa+oD3UQ589g9ChPXagqj17g609aaynPekLpT1ty6o9eE2lPYIwoT1AIak98s6mPa1loz3bxp899LKWPVtukD0a65I9O42mPZwrvT3h0789xE+7PZzesT3EYbw9m8q4PYNntj0/Pb09aJnAPdduuz2ONcU9TmnAPStdtz3OT6s9Bu6mPWD/oj2R+aM9Ca6nPeFOrj0zvbA94JmwPTDOrz2xR6Q9e0KkPfFLsj3FwbA9kxOrPa26mz1J2549PwOjPTDMnj0mCKQ9JpymPfKptj1VsL89se69PdXErT01NaU9LTClPZD0rz2RXb49P4u9PQfSvT0z/Lg92Ge1PVxUpz1eSKA9vYejPe17sD1+RME9zYPCPVi7wD1TusA9PNqvPfblnD3sDZs9xWGbPTXgkT2rrpw9xceoPStntj3CZbE9+3y4PRI/uj3iRLU9lwGnPYlUqT0vFJ89Im6UPWbpkj0IPI49vBWIPQjcgz2v3YM9MJl7PU/4eT3X5Xs9ISiHPedJmz2Q2Jw9z4+XPQgrmD2fypU9hsaIPVl/iz345pQ9we2bPbjhmz3trZ09u96gPaKtpT0RMaI9PX6OPX87kz2iNpw9eSGXPUGnnj2+3Jg9jS2LPex2hj3LwnU9ahViPZiVcj3D7Hc9MiKHPcbQij3f1ZY9Q+efPXjioj2yap49kMulPTf+qT0UEag9JqihPQ4YkT3t25M9QzyNPUfcjT0R05Q9OjGUPbKvlD020Yw9YXKOPY7ukT3sz489DdiEPWFhdT2z/nY9ybCDPSTXhT0bcIw9A2SVPZOFhj3uz5c9TAmFPZ/6cT0Pf3A9KNJiPRFmYj3PsGA9EFBnPRjEaT0WoXM9NJBtPcLxVz3eBEs9BRRJPcNMSD1TxkQ9P6NOPSg4Zj20SGo9qgFbPRjIRD2ozT09a/FAPa8FRj1f+EE9UwtJPcQxOj3QoS49/QkuPYSPNz3XPzI9UdEsPYgGNj2ppz09AZBPPZ16Wj2ya0894+Q6PdPxOz1WqD099Vc9Pd4UQT0QijM9jfc3PY+qOz1KFz09B+E2PeCNMz0JPDQ9bKc3PTgiPT2u2z09SX8xPba/Iz3rMzI9EzQ8PYkQOT2+Uzc9J9FCPXvMgT1/fJk9LCKbPT2ltj2tqeM9VPYJPqZfLD6TgCY+GhMpPi26Gj43mhY+HeoZPtVNKD5C2CA+nuUbPvMMHz4p9CU+Fi0jPgvrED77Sg0+VkgZPpCiGj6xFxU+ASYWPjTYHz7KuSU+FwsfPktSHD74+xw+XAIdPjsJGT4yUBY+XCkQPiP5Cz7GLiw+Pxc1PkrJQj6s6Tg+m3I8PqDbIj4PFBI+c/sVPub0ID5sBC0+F3QuPieYIj7eTHc+w8GDPntAjD4GrGE+bqBePu1yVj4M4zQ+/e00Pi0pOT7UH04+GlBIPsE4Vz7/RFc+L3FYPtXMXj5JBlk+TfRNPmJLOD5doyU++IgzPggrQj4FUU0+mP87PopoND7TkDU+jnhDPgtENj7nSzU+47EwPgnpLT6BcCs+Jj0vPutaMj7NoDc+GO9CPiRhJj7qkyo+frs4PovIPz5uwD0+hRhRPqEDcD4GskY+vnE2Pi2YQD6yTk4+QvdMPklhRj4buD4+kws6PobwNz7PFC0+rj0aPlDBIT6DIi0+gPYgPlH4ET46qyY+w2tYPreVRD5eijE+BYdEPrfTTD5ZHkg+4DQ2PolIND7xdDQ+jWo4Pod9Pj5wu0g+6aA1PhXfNj6kqTI+a685PndSOT4bKzw+2Nc+Pse6RD7aHlA++mY4PhGPKT76zCc+ARMyPhByOT7wnj0+gso1PoDZMj55lzs+8fU5PkM2Nz645zg+ZUwtPrdgKD7qgSU+7Z8+PsiRVz7BvVo+WflKPi22Rj7kKzQ+wDUwPka/LD4CwDw+K31ZPtqqTj4htjU+mS1HPv/rOj7HHiY+WFczPoT4Rz4XI0Q+D1IsPrYgKD6DUjQ+jVs0PjyYLz5GxDE+o+IzPlXcJz7bryk+32EoPoxuJj4HXio+HKE4PsNIOj7thzg+Fds3PnGgQz7XekA+J/09Ppp8Yj7KmlM++sdEPi/PRz6C5EY+zUdIPu0CRD5yVT8+YKQ0PqloKj49qDE+5n0/PsfWOT7gTEA+B39JPo/jTD6b1Ek+2lA/PqvGKD5l9xk+MZ4oPjIBOT4uJyw+o6wOPqHd/z3a/AE+ehQDPqpCAD6gBg0+5rQOPismGz5pWBk+1u4MPp2WGj46PiU+qw4yPvfmQj43Azo+T4w4PjfRKz7y7io+A0QrPrfhKT5hch0+bzwlPpCCIz6csi0+VK0qPnkzLD4+fhg+E4ISPondRD7Pi00+pmUuPt56Jz5TLTs+Qd9CPqFHTz627E4+n1gxPgi4OD69sVI+mX5FPnZjMj746D8+eg5QPpIXSz6m6Dw+moM9PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/836gPZDMrz2mYr89EIitPT85pT2u72w9PDJRPYrjVj0q8WI90EZtPeyncj3G1Y49ji2OPX8sdj3BiHY9/sRgPb4eUj1Kq089aclePeYpZT0/pG099eN1PSL0bT1hf249XGBmPXwFYz2AaGo9DSBsPWruUT31wk09WMhFPTTHXT3nTno9HgeNPXWKmD0sQZo9iDqRPcXHgj19coo9vhCOPdSOjD0dcYg941KFPaM+kj1yRJY9qLuMPZn3hz1frIo92AiPPQyKij0xK489aiyQPYYZiT33tIc9NEaFPXIPjT3QC5E9xkeaPSNbkj2A1I89EH6IPdTphj26YYs99f+TPXRYpT1xJJ090S2TPTfvjz39sI49ACqVPY1mmD1gZ6M9z86nPRgynj3izpE9GbeJPZVViT2+2ow9E+KWPRrMoT0HkZs96h6EPanLhz1xeYs9S4OSPc8loD1f1Zg9TeWNPSHdkj2BZZE9k/KXPc1ulj352Ys9VVSKPX56hz1naos9InqGPSVHaT2CXoA9cluEPYSfhj1Qn4Y9bkyAPZzgdj3kmGg9989kPdKdZT1FVGg9RDtqPWpzhD3daX49icWCPYhAiz0Ygos9RTqMPb9+gT0bIH49EqWEPW7bhD16Znk9P1xxPWd5bz2HWnM91k9uPesnZD1+Km09C1x2PTtjez1EZHU9G/9yPYU0Xz1C/Vw9LuBdPTFxZT2vT4E9liyLPU2thj0Sw4U9Tt6GPTmxiD0JlH49Mg9uPZUgdT2ZN3I9LZZxPcNegz2fdIc9AZV7PUmmjD32AYg9aMeCPUK6aD2DN3Y9ZXmAPbThhD0V4no9oyB1PagpYz0onWQ9eRJuPRftbz1Tdl492xdaPT1XVD2UsWU9/siAPUvahD1QLo09PgqQPcRSjz3BhoI9+TODPb+OhD2lNYg9XkuJPSB8jD2VS4A9mL19PZ0cfj3by4Q9HrqHPWTUiD0IKYw9kVWQPXUvkj1rAJs9cH+aPWLakz0Th4g9CESHPdm0jT0Hc4g9JaSFPSsWij0YUJg9Me6VPe28jT3GOIs9yPKLPSg6jj32EJI9YauRPYHJij3CWIo9/giIPfZshD3e7IE9zSqPPQ/Gkj3tqY091NyQPcC9kD39uJA9bUGWPTP2oT2pkKM9AoabPWV9nj3AsaA9P7qdPV+Pnj2byqY9eT2ePaxHlD2Wt5M9IBadPchoqj0draA9PImkPS7mqD22Aqo9lRinPSyVqz2riKw9U3CsPbUEpz1HsqQ9ErSfPT75nD1TGZg9TO+VPQZ6lz3jsp09STeiPUV9sD3carc9FFvFPUSqwz3swLM9A26wPb/Crj2de609lFWwPaptsD3bK609y5W8PUJVtD3yZao9bHaqPej/qD2YrZ895DmbPVxNrT3cba098WSmPWhBpj3ID7o9z/mzPT+crj3etLQ9xae0PTTNsD0hl6w9M/KsPZTIqj3G+ag94J+oPXzPpj1T7KU9KkGjPUkgpz1kgao9SrzDPf/Ezz2s/9A9CIDRPRBjxj3u2Ls9VTiwPQdirj1Z5Kw9LZW8PeIruz0UiK09y+ekPTgRpD1HcKQ9SNyjPe4Slz1JJaM9CgeuPT64oz3L6KE9GdukPYuDtD1ria89z1qcPQvMoD0g6aM9yGOsPQWEqT2bwKA9g0iaPaUulT1bUZM9O1aRPe9TjT2AJn09oXuFPcbFij38j4Y9yQaGPdfriT3JHpA9lWyRPdOtjD2Kx5A9yKCPPdeVkD0dbpc9EZibPeyInz3+XaQ9WMikPaWQoT2lpZ09jGGUPcWYhj1scYc920eQPZ10mT1nmos90f16PRUjgj2or4Y9aAOGPdt2gT1MFII903uNPUQKkj0ycZY9N5ubPfnSoz3BQag9lBKgPU0Pmj1hmpo9inybPbesmD2nfpw9+ECdPV3CkD268Zo9NjKdPfGTkz0TyJQ9RPCOPWJijj09/ZI92RmOPQVShj31CIE9n4p5PbXUfj1MVIE9/diHPfaAhj3+zXI9VaFqPZTUdz1/13Y9+rxmPZl4UT3rO1Q9JhJZPd5CYj11YXY9Dg98PfMobj1zB2A96slcPaMTTT0+rVk9j/5fPeXeXT0PzVU9KxBIPU8DOz2R/EA9hE1HPfSQRz1b8zs9N/pEPcXkQD1orjA9QXctPfq1Jz2x4zE9W/Q0Pf5DLT2JsSw9fuotPU5LMz1tA0E9xyc/PcqkRT2cN0c9up5LPUTCVD3pcGU9j6NgPeJ2VD1sGU89WYJbPe4DXj3kZVM9MOpLPTEfSD3oaUU9ZPg3PePnND3JsDs9VyJEPQybRj3i/D09BzAxPd2KMD1pIkM9AMZ6PdlSlj1Mktg9dU0UPnoOHD4y2y0+75QjPj6wGj4stRI+S3sTPi5dGD487yg+htsbPpzsFD5XeyE+QyszPlqcMD5EbB8+WiobPiMSFT7VRRE+zNYaPmZGGz4rPhs+7CgePhRBJT4sti0+5jkgPrLDHj4ddhw+gIUTPllbGz61syY+7TUePrVdJz4wey4+OKs3PnizPD47OC4+QrkUPotAND5t7jc+YZA5PplpPD4njFE+oIGBPhrRgD7QqGk+JRZNPlGfRj4Iuy4+cxotPvAkOT4tIz0+6OdKPu7QQj7LTkQ+tTNNPhtdRD6uDVE+1RBgPrJfRj4HTTc+3zozPrvVMD6uBzs+BDs+PvdZPz7cG3A+0AVCPt+CIj68yB8+fjMqPoJJLz6lizo+UjA9PmmrLj6HtiM+qUsnPqQsPj46lU4+1WpLPhzjQT4SBUs+Qi9NPg2HRz74lXA+8h9kPo6+aj6gYHQ+Gct2PqbWaD63vlw+rA08PmVDPT7Qjz8+erccPnh4/T2UnRM+1+k3PiEcOD7aczI+g4o0Pu/lTz6nnF4+eXlQPvTOaz67QoU+r9hfPrC7Qj4fAzU+YpguPg1/PD6yR0Y+WfpCPrqxNT4qsC0+sxoyPiXgPj5i0kQ+ma4+PpRWNj4Gjjg+DbA2PpTiLj7xpCo+MnscPu0xKD6xjkY+3kNHPhfHMz5wRyw+IqgqPmvjOT70/0o+Cvw9PnvRLT5JCC0+S/IvPm/SSD4YpU0+Y2czPhEQPj57xkA+1bQ7Pp5dLz6ZMj0+2GhRPqFqST4+rTc+wIg4PvGbQz6TEzY+kKwmPvJrMz6cA18+z9ZZPkJkNT6jcDs+r542PjpBKD70FBg+XO0lPuMXTj7mW0A+ZhFfPh4KWD4pMUA+C6VBPuV9Sj7uZ1M+o4eAPi2ZXz7JY1E+11JkPt2jhT6dWVw+xxotPqC4KD4Zfys+C1gwPgJQOD6t/Eg+on5LPgTDPz4XLTg+bm44Ps+uPz4hezw+WGYpPgtwGz7Y0xw+kcw3PgyNKD6QNw8+nlscPnDSNj7/+j0+/9BCPtC6Lz4meS0+j6xBPsIJJz6dUSM+DzA2PgqOJz4stRQ+s3gePol+LT7Ddyk++GIrPvb+Nj79TlU+Z5E2PgD0Ij67VS0+bM0lPjdiFD5voBk+Z94tPikhNz42ryY+D4gzPsucMj5hgSk+UssbPtrQKT7OBkI+fzo8PsGBKj4rkx4+AVM7PtScSD6XNkE+bxZCPnowPz6WK0I+zd9EPuZFST5EUkc+f1k+PpMmOz67Mjs+9IsqPqYeGz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyUYrT34q6k9tHanPaCxij3cNVs9tJJDPa6+Sj0vmkc9nDpZPUG3cj0s9249kJdzPU6LgT0zQIA91bmAPVOSdj3QfVk9YdxXPa2QVD0lqEo9FJZGPasyfD1hzoY9aeiCPZwnbj1b0mQ9Jp9XPZx6TD1rWlw9zARiPW91bT1LC2g9fOppPeenfz0G+4o9wmqPPXGEmz3ad5c9iRqNPVERiz06LIs9FqeKPb2IhT2T6I89eHmlPVyooj3B16Q9ys2wPWJkvD3UkKY9bwGPPbGZlT3PRZU92FSaPSAfmj3twKE9EVihPXI8lD0N5o89iH2MPWFRjz2J1Zw9VzmdPdA9nj0LmZU9gbWKPYUkij04LYc9/LePPSuEqD3+yro94CXJPQYIvT2iiaQ9cfeYPWyNlj3vzZY9R+aSPWEMjj21Rog9XziDPSf+ij39pJM9qiWTPWC0iz13SYM9SkKLPVxDkz1V9Y89zEuMPSC9gz3Cd4M9WvuKPZYfiD2uwoI9l9x+PZzzez04Cnw9EWmJPTVLjT21uIs9V8uQPTC4jj0Gjns9MvqKPYwakT0Bg3s9sS6APVZUhD1rGIo9IB17PbsbcT3UZX09M2p+Pa6qfz2p9oM9JO+LPVsFkj1TkY497ed1PRQ/aj1PDWs9dEpzPRijbT2J2Fw9HWNZPZqIXD2hXWA9cWBdPfHOXz1LmV49Bd9jPbuoXD3z63g9SFWEPbonhj0rz309DD6DPRpPgj1+ZYc91suDPQMDaz3c2l89rS12Pf5meD0+RoA9mzCDPXpRgT2DDIc9VPGFPRqKgT37cYs9m0GOPQQSiz25f4I9/ZR0PYf6cz3sOW89kJFxPckGaj0n7Ew982RaPYbsYz1OmmM92URoPQt5eD0puHA96bF3PesgiD3qkIU9Ul17Pd0siT3lVos9ebOLPU+tiD1hwIY9HwaGPa/2iT3OE349IId9Pcu/hD2U+IY9bQmIPakbiT2sZZI9vxWcPR2boT1/q5o9gieOPexDjD3ldoU9NfB0PbvugD2qX4M9Zx2DPdg6gj3uios9G7WUPRk5jz2L9Yw9eQGJPa5hhz0s04M9dgaFPaWlej1zbIA9bweDPVeAiz0h9Yw9Okp+PQSciD0J/Is9PwGRPZWumj3ZQpU9VVOJPVXXkj3eXJk9Z1aUPePOiz3wYoo9iTKUPT2BlT0w4JA90PCNPYgGjj2kCpo9yOKcPQd5qD3L5q49s9auPSDDsj0Gnqw9irCfPQDrnD3WEZ49k5SnPaiZnj0Tx6U9W7qjPdK2nT2Kkps9up2fPf9foT27zLI9DP6zPRgCtz3QObc9om2yPc8FrT3Aj6k9Aom1PTCNuD1fb609S3GoPek/qT2/D6Y92IWkPRJgqT3kc649WZysPeCNsD2S3649XamnPeBCoz2wpaQ9SGqrPYyuqD3uHKg9CB6uPfV0sT2P3rA95HqxPa23qj031aY9nYinPe+4rD1/0rE9aBOzPUgptD2iDbk9chqtPWKWuD2PVbU9GmqyPdCttT3WGr09loy0PTTKsj0IE649vmatPdeTsz1gp609fJuqPTeioT25Fps94oCYPdy8lz2Z3qE9McWwPQSSsj3OT6U93QykPUh9pT0pCqM94jOhPcdznD3YL6o98aisPVHErz2QYKk9CcubPaHEkD1hYYc9/W+HPeQkiT13oYo9yD2MPcZOhz3/EXs9J/d+PYT5gj2OF4c9osCEPbLHhD02SI49iNyjPTT+oz3kJ509dtyVPSqIlT1E25o9y4mePUA6nD1ZNJY9dWyUPTSHkT3xTZM97ZeSPcrikz0dB449hZeEPcDSeT1cZHw9qZJ5PWYUej3wt4M9rsSLPRZnkD3XUJw9+A2fPY72nD1o85s9SMqWPWc1kz2b0ps9PsuhPZpArT2k6qo9GxmePboplz0Pxo49e2eNPZP/jT3kW5A9mamOPWK3iz3q2Yg92a2EPV0Uez2dBoA92PeAPYvthz1I8Y898oKGPb3Kgz1VFoI9wI6BPYxvgD3EBIU9w0l3PQ9YXj0dzE49Dvk/PTTiRz2sO2M98FdwPZzSbD0Hq2M9VK5gPeXVZT3m/Wo9VLFoPQfsYj1Uf1U9bZdBPWJPQj0Q90o9bqhVPf94VT3Pv1Y9JldjPRFNbz3kU1g9IfY8PaB2LD0JniY9YlMhPfsQIz0X0SM9RTMvPR5IMT37TjE9O51BPWBFST1PR0Q9YCJHPVkiWz0su2E9wd1nPVBsXz2+cFc9AYhPPQIabz3upXY94GByPWC5ZD3lTEo9JnlEPQmpST3Rmk09ahNoPUmaVj0PFTs96PtEPaznTz31NlE9ebNhPZpfhD0R3Io9CYkZPtWtLD4+aiA+S2TVPd/L5z0BCgY+HtQmPhAfKj4eQyc+Yu0zPjSMKj5K9iA+kFgoPumqIj4k3CA+/hAhPiZwIj5X1B4+FRQcPt+vGz47FBE+g7USPo8kGj7vyhs+8RUlPs9uFT6exxY+PLUXPkKoGz7R4Rs+P6IRPteUCj7okCI+icYgPmdwPD6TU00+NQExPsL+CT7BzyU+QloqPh5COj5k0D0+wAZLPlmjZj5Ed2E+O5BWPjorWz5HIF4+EV41PtxjSD6eQoc+xjSAPs8aXj5nzTc+rwElPom0KT70mCM+MXswPu2dTT5lZkk+daxEPo7kMT7NFyI+q90nPrOyST4c2Fc+qrIqPnOuGj6kYS0+EioxPmZ+Lz7tDjI+KmgtPvCILz628R8+2KggPvF2MD7lBSw+rmYyPttqLD4XTDM+KuE+PrGoTj5Zpn4++/uBPt03WD72MF0+brhpPia5dT4ziGk+sNVOPjm+Lj4saio+d5EfPkFbMT6Y9UA+mSc6PtdZOT650jU+AGQ3PgqgQj4efU0+YK9LPoktQj6Nc0Y+o2tOPgJPOz58KDo+biM6PqA7Jj5BAUY+UMBZPnMGPz6yvS8+ABYuPh/+LT4Fzkc+m4lWPn9VTz6ZcUI+PgwyPjNYND4+Xjc+kIc7Ps+/OD5VhTQ+9bpGPpSxRD5LzjY+4DI0Pi3pND40vC4+jlIoPi3eQz4yuEI+g1Y5PqKIOj5mt04+InZRPgdRRD7BqDs+23k4PjLfOD4E1j8+4LxJPm+6Rz5D9Tc+cq5APiLIQj559z4+NAs8PoS4Qz5z6TI+y+89PnHBPz755EM+LtROPlb+Qj4quSM+O0wePl+UKj4JdUg+HLRPPn/LXz4BZkQ+jDNqPiyMfj6u7IU+4vhqPqGndj7nnFo+B9xFPkBekz41UqU+KbiGPqlROT6ZCS8+nrkoPtKPNj67vjs+qM1CPrGwPz7lNzQ+pkY4PpNpPD6ro0A+acQ+PvM5Oj5mZjw+kf9CPizXOD4M9SQ+ALIcPgQ5Mz7WfEA+mc4/PqHXSD63ZUE+h5U/Pu/fPD5Rnj4+llVDPhhTOz7egDE+j/gPPr2LGD5rmCA+/9AuPg4sUT6Y6Eo+f5NAPh5RLj4dBBk+bU4oPni+LD5+aCE+SAwTPg1TEj7I/Eo+IhBaPtwJOT5bLS4+Y7YhPjnGKD7J3SM+T7kePrjJGj7nFRI+0Q8YPqEBTT566j4+DylFPtA1Tj7Kwkk+3E9NPsz0UT7/aVs++utYPtRtSz57fE8+EkpWPpVhRj6l/z0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9zNoo9XBKDPUTPdT0mPGo9tm1NPXRHST0Nt0w9AppgPbBxZz2o4F49K3JTPWv8Vz1BTmc9+RxyPf+RdD2K/Xk9rG1ZPZ8STj0EK0M9Qa1RPXTqaD0XH349SM6IPdIhiz2bTYM9ivl5Pa2xcz1JVGU9DM1mPcZjaT3Tym49eJFkPbhbVT1vY2s9o9WAPafXez2saYU9O5GZPV9Vlj1JAZM9NeqUPSdVnD1Js5g9iVeZPfUkqj2DmKw9jh6iPWGFnD360qQ9oO2tPSowlj1gFKQ9r8CkPWPopz1V2a49ePmlPbiCpj0WvZQ9qOSQPaKVkD23A449ypmTPVpYlT3YYYk9s/2CPct4dD2BXn494ZOPPTcloT1vEcw9XorLPV5wvz0up7c9Fa+1PZfttj0Q1Kg9ztSZPd7Skz2wD5A9lWaGPX7lkD34jJU9dzOOPcBQhj1eY4k9LjiNPcbBkD19Mo49AnaCPb4xiT0Shoo91RSNPQXLgz3Fc4A9/3eIPdIFlj16HZg9CFyTPXUEij3VK4o94917Pa+mcj19K3U92CN/PaWDez36+HI9MoBiPdjKcD1cTXk96ZBtParUaT0lZHA9Z+iLPYPHlj2zxJY9bCuDPU0vhz1SnYE9h6iEPXVReD1wZ209yLFsPUFrZz255F09zqlfPcyXbD1WN249nO1tPQPncT1AoXs99eh+PdY7gD03hGs9QuFsPZVTcj0QLm09y7BuPcL7ez1IfoM9oC6EPfnWhD0gQ3k9pZlwPe5Kdz2lnm49yQdwPa/LeT1S5IY9LEqXPTxYlz1PmIM9leqAPfv3dT2fFG89cJRnPQKIYj3Iy2g9hpFrPf5Waz1GZGI9gBdYPahOWD0KL3U9W7F6Pe7Afz3IMXw9SnRxPb+Zdz0f8Yg9uN+IPbvUhT1C/ok95heLPdymbz0gJ3M9W2h0PQomgz1jG4c9xuV+PdmGez3IJ4k9z+qQPQmvjj2NYYw9+dmTPYculj3R4oc9+c+EPWKDhz0SQoY9M9OCPTrGiT2n6Y09SHSJPWlsiD2cgoY9JJWFPViliz1dgow9sHOGPV+WhT2WdIc9f1+IPaKIiT2FuYk9Xc+IPdJSjz2c8JU9JzmQPVkGgz3s0ok9xSqQPWXNlj3uL5U9gYGRPebRkz0au4U9DziMPRdZjz3yoIo9WPmKPfPJmD15I5c94riQPS5qkz0b6pQ9k1WaPXgdqD3Wla09n467PShFvz1It8M9jFW5PfZlrz0a+bI9Rl6yPfoasD2oU6c9B6mvPSTssz2ErLE9T+mmPX4roz1TtaY95tG7Pf0xuD07HrU9p3yuPefOqz2Dua09TwKePdXUpD2TM689HnuoPX75pT2hXbA9NaWuPa4ZrD039qk9FVa1PczItj0embE94yKsPfN5pj1S06U9ekSuPQkFsD23Cq49GS6mPU2joT2gd549QxGpPdvirz2J6bs9rXa7PR1atj3mdLI9RGypPftYtj32t789mWm+PTG8tT0aNbo9MkC1PRZxrj1ogrI9FvG7PUU9sT2ND649pnCuPW9ErT3dDbE91DCwPcXlmj03vJE9dcOZPQn6nz2Tx6M9iW+tPZlatD1EBL493b2tPb3zqT3QO6c9BtycPSGhmD1w3Jg9IuecPS1cmD2705Y9mz2SPT4Fij1tzHo9eid2PdS+gT1qMX49gRV4PUIEfj0Fd3Y98px1PTgxhD1N1Yk9K7yTPY3GkD0qzIw9g2uWPWFekj1hB4s9yhB+PYzggT1Nd5A9udygPfcbpD1HvKM9dUOjPU6Akj2nJIw9Jq2HPa1qiD0rJo89SdqKPScWiz2dOow9rDWPPTiTjT2vJ409uh2NPcUimT0+E5s9MA+PPT2diz2sEIU9Cw2FPfeKhz30lY09TqWMPXkrjj374I89aw+HPVFQgD1bGIQ96uSLPQmHkT3aZZE9JZSRPYEpjD2LsIg9YVWFPRzMez2lNn49yi14PeB6gD1Pv5Y9PqCLPTUWjD0bppA9IDySPch/kz009Yc9Rt9pPU76ZT2gYG49UbZtPTK6Wz0Sxlg95llXPaVvTT1gil89wAhmPYFDez20C3s95AVvPfanXT2gDEo9TuI6PZbtOD0jQUE9cTxIPTC4TT2ehE09SMRNPVTETz0iW0w9y0JDPRY9KD3Lkx09scwdPWfbIT1JuCM9qskpPeqVPz3NjkU9MTVDPbEMPj37AkQ9vTFNPeuQUz1UIVY9Z2hUPbwpQj3rUU89tNVkPY5ddj1ykYI9mPqDPbzDhT3pxnU9CdauPTYPEz5WBiA+rIEjPrXWOD6zONM9b9CEPd/8Uj05OUc98+NNPSeAUT0ArFc9+L9kPTbboj0HDbI9wHuKPegmTj2UpkI9+R1jPQv9wD2xZxk+VpspPi5yKj7Rwyg+e68qPn8ILD7ZGSE++bYgPklBIT4suiE+BXAVPvmnET5FqxU+f9MHPm8pDj4nCBw+WTgaPkIIGj6jcAk+bQ8UPmxfGD7NThw+VfAXPtgvDT4Hix8+Wz85PnaiNj7hxz8+tvJOPjYYPz6Z5Cg++HNFPrNyNT6+Vyc+6GgyPgk8Oz5+Tls+eyxxPoZQbD4oMIA+Nmd7Pq85Qz7/ykQ+AciGPjgViD5foGw+wzs4PhHoLT4tgDU+A8QrPjkKNz4tJ0U+ithGPinILz5JMjE+AhA4PmZOOD5aPkM+osc8PppsKz7u+CE+4GM+PmcLST5mBzs+Ltg+PkLUPj4g6CI+a58tPq9aQj4+JUA+zzgnPjkzIj7i2iI+VMsfPvTzID5Y9C8+FZVrPuwWbj6spEY+Vw47PsbzNj7xUjo+xbw2PjazKz4W4yk+ZN0pPmg4MD4jKUI+UK4zPlCmMj5Tdzg+Xjg9Pj9lSD56v1Q+L7lHPiieQz4XnjY+JkgRPneVCT5mSA8+enozPnj/Lj46ESo+Qgo4Pmc5Oz7K4zs+Y4ZFPtqgOT5ePDM+onktPvF6MD4E0jE+GPAvPjj6Kj7bCyc+20YaPsz+Pz4FpUs+7BpOPlLlQT5Ja0c+xao9PgdvOD5NNDk+4DowPpVyHj763UM+ijRbPhdWUj66DVA+3MlPPk1oPD55EEY+m7pFPkXbLD7fwis+66U6Pov1Pj538Ts+8/w3PqXUPD6MmD8+Hgg0PhGPMj7Eb1w+pvNPPnqbLT76jkU+elhPPk6OTz7qTic+PVsWPn4eLT4U/jQ+y3IwPoAmRj7A1ZU+wASLPgNBbT6ZMnI+88aFPn6ggj7S9EY+TVQvPtq6Uj4FdWs++L1oPoFtUz4dNGE+GDWGPhhjLj49AD8+6pRNPm3ZXT4BJEw+cDNEPsQQMD7gQDY+yGVGPofRUj6MUzM+6BE5PqC9OT4W2xY+IHsSPqwnGT5uACU+JN8uPtYdOT7T7zg+QjgxPvnYMD4ooCo+X4obPqOaQj4U3mc+gh1aPuX7Hj55GvI99coWPtnxPT7pblI+hpNGPra3Lz6EZRw+5MgTPva4JT6/zDs+JBU/PnOOIj5dCgg+5n1UPi7Faz6MfSs+AlUbPnGNFD6Ylxw+eCIfPh5bHT7qERk+VuMTPpv5Mz5Ly2M+FrpIPi1XRT5sfjo+lzoyPsLmQT7udGE+Hb5FPu+ARz6IEU4+6LxMPiRKQz7z41Q+bnJlPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/I7eIPQxwhj3tD4E9tR1oPVLoRj2ofjc9zxtEPf6MWD2EAlA9JlRQPd5qZj1z5mc9vUtmPfaEaT2CaXk9x/xjPd1COD0xmzI9RCsxPcekSz1ROow9WDGSPfzegz3HwIU9+aSAPZYzbj3pSHM9FkdyPbdYXj2NM1A9vEpVPU1qWD3jYVc9vulpPWMFdz0n7Xo9uk6EPVXEjz0bzYg9bdeGPWtvoT2bPrQ9DkmxPTVgqz1cFa49tAawPSjioz1vrKc9bUWoPdPKnj1LfY89oDWmPU7dsz0fErg9YKG2PRJLpz3DWKI9VDmSPV+eij3/GpA9EJSOPQbJhT3B+Yo9YsCRPf57jT1Q/ZA9lyCVPTrtlD3mw7U9L4zWPb3D2D3yybA9zfenPeSjpj043aE9KG+aPaLKkz0qXo09+QOOPYnxjz0VkIU9yUh6PfAsgD0/r349856APYO0eT1pHnw9QzN7PWUTiT2rTJE9PoaMPQbEjT0/dIM9mD+NPeEdoD0oU6s9iG6fPQBZmj3Sw3o9rrtvPRh+cz1K53E9hA18PXo+gT09pYI9tO+NPU2HeT2mK2o9tTdnPUxdZT3s+HM9SiyRPQRJjj0jjG09GVBfPbnNXz3Xbmk9bkVzPerQeT1HK4A9sutyPWzTbz0nv3E9ZUd6PVQmbD1GJ1k9pXlyPRKtaj3WS3c9VzN+PaDFeD2YAWs9sW1dPVkKWj1+W1U9AZNrPeBqez3GCIE9Ns54PcqKej0a63o9c+xlPcUJYz3IS3g9YEmKPVLkjz3slZI9GWGRPWhIkT07Goo9VpaDPf0Afj1U2W49OeZpPS1TYz0rCWA9tOBlPfM/ZT1QrmA9N9dePc05Yz2zv2o9rC9vPRtlhT0OxoQ9ozJ5PdgIZj2NRXw9OquSPXmOmj0Rn5E90j2FPaWUcD0af3Q90PNzPX7waz21NWw933uDPQRwjz1KCpM9wiiPPfXqkT07aY89tciLPVA3jT0p8I89ZsSEPYQCgj1saII93n6DPQrMgz1dIIo9+xmZPd3ikT02tos9/EaKPUDeiD3TvZA9AUaRPTL2hj284oo9x8CUPa6yjj3FFY89NGuLPeDFjD3L1pM9qzubPa2kmD1twok9x8qAPaKiiT3dd4097YKMPSgRmT1rgZM9jQGKPW3shz32f4c9gNF+PQ9Uhz37U5k9/WOWPURAmz1b3aE9vYSuPd9Xpj2MAp89Y1uePU4Mnz215aA9WgemPaHbtD0cg6g9lAKrPSYlrT3xs6w9Q5CfPTvirD2TwLY9qYW1PdKMqz01y6g9RyizPedrtj1EOac9QkGXPUD7jz3qwY09fmOQPf46mz3ZnaU9bdWsPeNJqz21JqM9geWnPfwGqj1U16o91wCsPXQuqz3BKqs9vSWoPbabpT1LmaU9rlmwPWMzuz2b4bQ95PCyPWmSqj2Fd6Q9daijPREjqD1enrU9iwa5PaYYvT1GXro9EtTDPQacuj3WzsE92O7FPaedzT0eOb89AcnHPZtYwD2fdsA9gRi+PRC+rD2dCJ09SwmbPcr3rD3aLaQ9gDOkPdA3pD1IiJg9LyaVPYbXqj1r5cA9C9C7PRI2rz3F16U9IyKgPd2cmD1vg5g9FiiVPXBrlD29wZ893BukPTfAnj0G6ps96PqLPUCChz0Lv4U96PaEPUFbgj2rJIA9h8x6PcJlcj0cT3I9uLGNPW1FpT3V9ZM9HjeLPe0qiz3nvoc9yk6GPT8bhj3xtIk9jYCLPYmoiz0myJI9+bCdPd65qj0ZBqI9QAKaPUpXkT0Pv4k9DV+MPS1HmT2drZA9YdaNPZ0+kD2+VI499/GQPbShhj1a+I89hOCTPdA9lT2PIZQ9IW6NPQ93hj2DQo09HDqZPUuMmj15yZ09A3eGPZLrcT3ic3M9E65xPa/nfT399o09kEGWPZORmj3/2aU92OiUPcn3jD0lD4A9jr5oPfRFZT1WEng9hImEPX91gj2F/n09rXiIPWUEgD3vTIc9LJaSPdEckz11pXk9oSVTPcYZSj2g4lM9g016PddIgz3f/Ug93oxMPVcKZT1d/mw91/VrPRbtaT1h2GY9zadvPXJpWz0Oflg9nMZcPftCXT31tl09iWhkPVqQbj2SeVQ977Q+PSDhPT0rCzE9G7soPcl+LT1x2CA9JicrPcUdND0DsD89YIUxPaq7QD1SJUo9oyRJPWFtSD2+hUg9bT5WPaXOZj2cjmo9pkRvPd4zYT2mzF894Z5qPVkWcD3AN4o9kNSTPUXBjj1yEJE9QcaJPWlJsz2DgAA+lkXlPZnd1z3X3Mc9A0GDPYoJRj0TzzU9lgwtPX9rLT0D2zM9koNNPfTCXz2RPm89UNhqPU/FST0540I9KDEyPWx1KD2BgRk951p1PRV7LD5lbDE+9NE5PpNvKT6kOh4+hwIgPsAWGD5N/hg+3rwWPq7IDD7xGAk+0HwRPkHSET69FxU+SqEXPnJDFT73rBc+ysgNPo61DD68SAs+QqoKPrVVEj7oMyM+mhU8Pma7Sj6hMTs+3HE+Ps/CTj7hTEc+9btNPv4Zij6tVGg+ldlJPhMKOj5cWTM+EPRTPsmKSz7zL0k+/apRPqmGZj7cBG4+nR5gPkvJbz7d7Hw+Ry5sPp5VTj51LVo+7ihMPiE/MD4Lmys+nAI2Pq3USD6wYjk+/Tw6PvadMz5sby4+0soyPqqmND7w/UA+VE5hPuSoXT5jlFs+O4RKPmr3VD6ENEU+qpkePheTIz7Wxyg+oc8ePtFCGz5E+yE+MaEoPpjjJT7qCjo+AMpMPnQVfT5rTk0+loghPibCQD76vk4+PYVCPmLCNz75FCU+Bh8rPuXNKz6BFi8+41MqPnhUHz6Cmh4+FR8oPvMIRT6yn1s+ALVfPt81Pj6OEDA+1QY2Pg1gNj7d5Co+EJkmPqPBKj7JHjU+JzgyPpmCMz5/m0A+8JZEPuMmRz4MlTg+C785PoziOz5RTzM+B+YvPptdJz7Q+jY+NJY3PuKrMD5DQjg+PPM6PvIJQT7rYjo+ZqlCPr/VSD6HejI+voMuPlF7KT4OlSM+Jx81Pk/MWD4dh14+qgpNPoF8PD6WeSs+tfM9PhdWQz7QKCg+CUQqPsxALD76IjM+wnowPvKwPT4mBC4+oJs9PqEZQT5Dq0k++3s3PjtWJj7a6jE+kzk9Pk7IPz5rxTs+VYAfPvM+Jj5k9TY+JvsuPsC7Kj7z+SY+gCw9PiU3ZD5a/qU+hMy2PuHgqD6gr3Q++aVIPmPHbz6r0Vg+JhdUPhiuUD7G8z0+6IqLPn+FqD4Wo2s+eB5LPvg1Qj5wdEQ+if4+PmRlOz4iCio+JrcjPtmGOj6RukI+fAsRPic5CD4A8RM+DqsQPip6Dz4hVxg+SsEfPhByLT7CHSg+I8sdProyHz7X1Bs+6pogPkR0Gz7anYs+k+3KPslGqD7NpWU+18AWPjrZJj61NDU+TiFNPjp/TD5LkEU+EEExPiQmIT6pGiE+mbE5PrXPRT6TekE+L6ofPox7YT52G40+l2tQPl8/Jj6ybh8+Do8TPm1DFz5DGS4+q34ZPis+IT57UjY+o9aNPhShtD4QKnA+gSRGPs4dQD6nwko+4gpOPnChUT5gQFM+n7lFPnnHQT4ONDw+uLI6PmfOPj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0i9pz11+549aXeIPWEEYD35lTw9CTk1PQYhSz3b+Vo90XRdPfJhVD27ImU9Tx1wPUrbeD0ddnM9UsFnPX/Xbj3lqT09ajNIPRFyTj2/vl09G0ZmPel+Xz0pgVo90YxaPS2STT3plUs9JppoPXCrhD1F63g9etxpPQmvbT1441w9b6pOPRh4ZT3E4Y89VI6HPZZ/cj0v5W09gWt5PX31iz3PVJk9x2nDPRRmyT3DlcE9IubOPaOFzj2/8LU9S4WvPWn3qj1qJJw9E9SmPTpOuD1+AKs9kKuoPVljqD3M1Zg90zONPSqefT3yjY09jyibPTE+kz2D/oU9UHSGPZeNqz2J1KM9Y4aZPdOCpz1H/7Y9MzTDPUu9vD0mOL09lTSuPStVmz1RRoY9wnSDPQznkz28cow90oyDPZulgz2TgYY9viSLPRk6gD1I7nI9llt7PXzFgT277YE99DFzPa2+gj2ua4g9i812PaVIdT2qm3k9YnKbPT03pz0vzp49fwGiPXkmjj3rO4c9SYZ3PTELhD0RBIo9+q+JPdoFhD057YI9WviGPezujD0Szok9SFKFPRnafT1p/Xk9zsN7PcT/gT1PsX89KF5+PYPobj0hxHo9NeqCPbUMhj0jPYc9emaEPTgzbz3JUWs9nIR1PSO2fT1UNGM9DZlcPdr8gj0DZIU9YG2HPY2OYz1IL109V9NhPTw1cz2IB349yvl5PfYVfT3oo4E9Dx9xPfV3XD3qFnY9+Nt7PZ+Bez0f8nQ92QmHPZ9Ahj1nFoA9plN/PXRKgz1UhYo9gTt2PTkNaz3ZHHQ9WWVvPfSfZD0OrGY9aZtjPS7Fcz22Hms9aFRlPS2xXj0nRVo9PlpoPaaBYz1qGlU9Tv1dPVUObT3bH3Y9t6FvPcWlgz05+449kdmNPUzShD235XQ9w1txPczRdD3TUHw9zA2BPYWeiz3Yt409iW2NPblGej1I+G09zepzPRkoiT1IRpE9bKeMPToDhj1yTI89Lb6MPWUHij2NYYg9KyeFPaXeiz2llIo9mHOLPXPSlz3MbaA95FiXPWIpjj2hfIo9Nx+MPQvqhz3XlI49uriOPcE0hz1NjIA9++aBPQ9rhz1CY4c9ly9/Pfp5iD1jzIo94S+MPYnQhz3KPJ09/vuYPfsKjj33Aok9t0eKPXaPkD0W5ps9e3ubPbRamj2q4pw9FIegPcy7oj18Y589kneWPY1XlT04vp09hhKiPb2JoT2g4aM9T2a2PYkDsj1YF6M9JyqbPfkQoD1z86s99xWqPT2XoD1dB5g9pumcPVVPnz1yWp89r8qkPfFGnD2QoJk9CsaXPTKDlz2yt6I9TwumPQB8rT1WS6U9E+GcPVi7nD2o3KM99AGuPd5Sqj18NKE9m4WiPaNkpD3R46s9Xgq0PfsarD0piqA9mRmqPX+Eqj2Jg6Q9vzWuPWFWsD2nEqg92gKsPZMPsD2lXLQ9r3SzPbysrj1ijbo9q5TOPQnOzD0qkbw9dMe4PSshuj2sKLY95/qjPSDeoD010pw9eqSNPZJ7jD2gDaM9VIKcPSKRmj1GNJk92AKUPYfVmz35Z8A91x24PWlclj2DYo89fBGIPfK3kD1Tw4s9XMyGPQxSkT2GeJg9Zm+iPXsaoD0oDY49LyeNPU8GkT2QlIw9RRSBPaUGgj2e5IA9tKl4PbJvgz1HHYI9Gq6IPQsAmj2h6JI9La6CPR+RgD3E4oU9WHSKPU82jD0+cJE9RJKVPV6upz2+naI90nyZPemPmj3jIJU9lk2TPZduhT1Ty4E9+eR+PVcggz0c3oU9ngKKPcb5gD2Vz3o9UvmJPXezlz2ff409xXWKPThVhz3/g449gFuXPQEwoD23wqE9TXmTPf62jD0u6Is9nSGNPXachz320IA9JUmDPefZij0KfY09qD2TPRM0mz3RupY9En6TPcpRhz2fonw9UpNoPWUUbD2q53Q9kBd/PZ92fD0g13c9Ex51PRNfdj1WhII9H3eLPQH/fT2VMWg9hdFTPdfvVT3k+FY9tzFUPR76QT1jFzo96cY4PXawSz0zhWs9sYtNPTtART3W5Ug93Y9TPWlbUz0JC1Q9f7pjPelQbj22Sm89puBrPfdagD1VR2c9uSBBPThBOD0yEzg9EW00PUWlMj24UkE9EvA8PZz3MT0GYUQ9OAFHPYhZPD3bsDA9ELhEPYhfaD1H5G49NGlvPQ2sbT1BxGM94j+CPaMdlj2+U4s919mGPfaDeT3/UYM9pn6FPSl/hj0ueWw9UaBqPUGGaz1fqGE9t85SPbdYTj38Q0k9J9FHPR0eQj2J3D49WkkzPRvVKT1IRS49XBEzPSNxQT2U+EQ9iiNEPbcaMT3hkTI9Y2QxPeeqKD3boxU9bR0JPSE2BD3rVCw9OT+HPTSpET7q2VI+MikmPgV7CD52ig4+hu0NPkPLED58AAk+UEwLPiLSET4iWxY+i70VPlZwEj4PQB0+STYjPj3tGD4Zghs+ogggPrkKJT6G3io+2z4bPqMMID5NGDg+YOsyPumZSD4B+VE+EtlAPvYlUT53sZI+s6GUPgj9iD78xG8+psIxPvi8Qj7y7TU+Bqs7PnLQPj6Ctkg+DLpJPoCcPz6LbUI+R/9IPgwSTj6O9Es+E9JWPrbwPj5URzg+73VHPn/+Xz5j61g+3XBFPuSSRz7muS0+UCglPo4ENj5UUjc+ztJTPpHyRz5ORGA+mgmFPgxTdj6PfjU+LWU6PgjCJT4euR0+huozPl/gPj6/5UE+xA5UPmjmVj4NjTw+uhJEPvC9Sz6Aojs+urYqPu0rMD7WUjk+uTk0Pvu2ND5tqys++Oo1PnDFMz4jQC8+9M0rPiP3Jz66hiM+4m8ePsMEKD6iojo+BSwwPp9jKT4+DiU+V3QoPvZONz4rylk+unRMPl2jQj5bWkI+YkU/Pky/KD61QCc+Q807Pm58QT7Y8zo+YhdAPiB/OD51Xks+AvdLPvR4RT5oHEo+kTpJPi0VQj5Vh0A+dxs8PrIjPD766js+OtJCPm28ST5JPkU+FJdFPsMyVD47qVA+dOM8PuOxMz51DDo+in5CPn1WSj4WD0M+8Bk2PsroTT6CA0o+krNKPsqUST79Jkk+26xIPpgOQT6CnEA+cPU5PhTELT6juik+pc0iPulcID57IQE+qYIKPl8ZHz5AWSQ+ilwzPuCFNj5Q6h8+aIgmPtg7Jz6umCU+xuspPnJHOj6NWFI+EPGJPi61jj5BZX0+g85MPpSsQT5cZEo+IE5FPk3YOD78Hjg+UOo3PtRKTD7ArnY+0OqPPthDZD6ytzg+dfQ7PmVGNj4bsT0+JvEsPkUAKj6CGiA+4D0cPn6xMT6qJjI+eZIoPtmxJz5j8yc+IUgiPn9bJD4xiCE+J5YlPqZkIz6okBk+3/EaPil3LT7griI+qJhVPgqvfD7U3XM+UDVJPvpbKT437VA+WLh0PkW6hD7Ek4Y+8Ox9PjixOT7ctC8+ElErPjKkMj48A0I+CBpBPqSTNz73Q0I+u1GYPhejjT595jk+YXc8Pl8SHT59fjU+j/pBPtsELT6QhUg+irVpPqF8yj5S/7Q+JJZZPpqfVD5zKEE+GH47PpErMj7UJ0I+iWFcPhZcPT4Q3Eo+sbdXPoSMPj6xbjs+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyNoPT34Jz89Gpk2Pes6LT2yDD89zylOPR/cRD01IUo9QYVTPY8zVz3iolY9MuZoPWrSXz0h3kM9cas6PR2+Lj2OukA9nBJTPeIPYT2ST2E9UlRYPbGgRT3EL1Y9lGxiPZkPVz0gNXY9nUGHPcI3iT2s/3g9e1ZnPSZmUD2MvUY9BgFUPZY0cj3BrIY9zzOEPS9AeT0GUWg9DVJuPb5iaD0MEVs9RkxyPa83nT3qyLI9D1SyPYRqtT2EbK89I5ObPfKdlz1Fgao9gEa0PacJtz1wIa89uOCiPUqEpT1l86I9HCeePUpumT1Sj5Q944eePQJCrz1EY6E9oWacPeMOoz0enaw9CZWdPXD0mD0q06A9dVOkPWGJqT0j/qs9mTOmPWw7lz3aDI89uCeRPRDElj15EJo9l3GNPefGfT3V+Ig9LSuOPad6jT0JjoY9SNWUPbRUlD3fbYg97WiFPUipfz0Yr4w9ciyMPSGEiD0RD4k9PkOCPRCIfz08P4k90weDPVKqhz0de4k9PZGTPYAflj17CJo9l9qOPSjtiD1Kapg93XyaPbHpmz0jUaA9n+2OPaiLfT0tPns9UlJ4PcGRdz2Lt3g9TkGFPXkXiT3RynI9nol3PWqifD1xs4E9PNx2PXVzhT2ZlI49tZaCPTKpgj3eXX09nL1pPag2cD2ENXc9kqdoPQysZT2eJmw9dGOCPb2lgj3pI5Q9dAWVPT3ukD3fLYc9vKWAPX7ddj1Q0WM9IOJtPc33cT1Rc3U9+0B6PY5WjD2Gl4k9BbaNPRKakT1OcpE9ArGHPdRpdD1+0WQ9ReFcPamrbT3d5Wo9Y75iPU1ddj3uZXE95gtlPcPaVT2FaF09O0lkPTuMaD0h3l89HfxvPW16ej2sCX89ULp1PSG+cz1Wn3Y93aJ6PaUxeD2ebYM9iBCDPZXkdT25kHk9V42BPexIiD3IgYg9t0aEPSXMdz0VTYM9RMKHPewdhz26/Yc9HB2JPSlKij0GgYc9I3GTPcIgmz2qn54982+aPYCpmD0CXpk9q+KTPY6blT2bMJY9sNSLPVhyhz0+VYg94mqFPewgjj23t5E9ZdGHPQWmhj0lOJU9ByaOPSRUgz3gnHs9iX+GPUvwjj3BHJg9n4eQPQeriT3IiYk9dKGQPd6nkT2+P5c9N+iXPZeJkj1dCpI9+LaTPQ8Xmz0d05g9mjiaPaR+lT2Iy5M9x3iZPYbZkz0FaJg97JmbPTCHoT2VBKQ9z0asPWC8tD3ZFKg9t82ePYk2oD3vWaI9EGOiPcykmj1sNqU9I1SlPRCJnz0SKp89vtOjPXWqqz0Fxak9SPOkPT6PsD3OXrM959OoPXvanD03lZY9euucPdgYqD07Ma89rOa0PQj6sD2w6KQ9b+mmPbmcpj0T2qU9yZumPS1iqz2X3qY9+wi0Pd2Muz3GQbY9nN6tPcfXqz04EaY9pJelPePLrD2xg6Q9QX2kPd2qpj1VT649xkeoPTzfrj11Waw9RHGnPdJXoz2r56M9nDqiPae3kj1Qy5w9CT6cPWQtmD13hZU9rAyUPRShpT3gbqA9yhGkPQC4oz1lKJk9ZbecPc9cjj3bGIQ9A52CPYRRgD0rzYE9V2F/PSfDgj3Cy5g9LpuiPfuVpj2G0ZU9B4aIPbKugz1On4o9lq+RPQLvjT23WYQ9Nh2HPWBpjT2K7Ys9pwyNPeKmjj3iAI89nYOHPeomkT2QTJg9udybPW7gpD2MQps9p6KPPbEolT3oD5A9bHyKPfYpkz3dlJc9rnmRPbMtgj0qBYo9XneQPaXhhz2osIk9KQuUPagnjz2+a5I92wyXPZrvlT2R2ZM9piWHPctZjT2VBZA9/uWPPb/qlD2UkJA9DruGPYiDiz1uzoU90KeBPYgFgT3Bu389cBSNPYDIoT2AoJc9AuKTPX41pT0N06M9xweIPVnvgj0oqIE9Nnl+PWS6cD0UtH89N9SCPQrYeD3nzYM98keHPWsUhT0h4ZE9pbSKPe2lcz0eolQ9xuVFPcyeSD0j7Uk9zC9BPYG9Sj2G1VM9O0dYPVwjUj2O21U9HCBRPdnGWD3Z5GM9fyhiPVdaYj0Xt3E9K2dsPZNHbj3E9oA9/OJ0PQeibj2SJ1k95N1RPe9nTT0L0U89TWZPPdxuTT2EHEE9/GE8PaYwOz0AWT095Y1CPRp3Qj3D6js95n0/PYoYYD1GTWo9Vld6PS8wez0OG3E9Rqp0Pc6/iD3RiIc9v4CAPQg9ej2mhmU9bwRvPe3jbD3Rw2I9X4tYPRxsVz21Dls9K/ZYPc+lVT3d4mQ9G8pZPcN+UD2Xz0w9b04/PUIxQj0PUE89Wm9GPRU1RT0frUQ9NapFPQ/4OD1AJSk9ce0gPeEkBj2azvc8lhncPFFl7jz4hrw87Aa/PG1yxjxpC9o8z1MQPYb9TT1XN1Y9rWN1PWgBsj1+aOw9bCkXPoNBHz5WFSI+oi0YPl/CEz7lUBQ+8wMcPiy+ID5qpx8+VTQfPq/NJz7FGS4+FqMkPjZIFz7apgo+WCclPgMCPT7lg0Q+Uhc8PtNSQT4fUlE+xiOGPi2jkj4JvYk+kodgPodVND7oKCo+CeIiPiJmHj5G2CE+C+MkPuxCJj5DdTQ+RZRIPngcOj64pyY+liE6PndXWT6BZic++RkUPnl3Kz5lIzc+y5U6PrnyOz7isD4+jBlGPpFnVj7mlV4+IAVDPsXHPD63mTo+tgEtPpWaMj71GDE+kUQoPjBSOz7uOS4+aoE3PtdwYj4Dn2s+m5tXPoq7Oz6Cei8+Wx82Plr0Rz6uGUg+ilxLPuG1SD4Bnj4+6e46PpCIQD6T4z0+KIQ2PqrqMD5W0iU+zw8oPkW3MT53mjI+9bknPq5OGD4GWAw+/IAbPj0OKz4FGTA+rZ0jPgoGJD7OITI+Ly8kPpRWKz7hhz0+l6I7PkRmKT5y9D4+nFRJPtGXQT6e1DE+XJAxPmcNOz4i9jo+BwVNPorhTD61T0E+iw5APvgzPT537zk+ZJs2PrZsIj5NgB8+aHooPpR7Rz4acEk+BIZOPtpIQD7jMTk+LhI3PvPmNT7rCTE+glQdPvheUz5Jr0w+bQRJPmg1SD6oVWY+d7VXPl5iST6sgUY+jq9FPvqaSD55yl4+BMc+PqsTHD7o9Rg+SS0bPrxMIT5K3xU+BCoYPvlhID7/7DI+/pYzPufmOD6DpUE+YaQ5Pj9SPD53XzE+XcUvPin/JT7O5TY+c+pIPjS7OT5fAEg++yxFPtktRD56GzA+56xAPh5pKz5cgCI+RhgxPsBALz73mSo+gvcsPhbJQT5qeS8+1aUzPjbIMz5JUR0+tuQTPuQjIj4Wexs+FDUQPigJFD46vx8+zDwePlq9JD6SRzM+++gwPmtBIj5QXRk+MfgtPhy2Pj79KCQ+fUMMPvayLj7jjTk+HekfPtUZHj5ixzA+Tt0mPkEIKD7NvHk+VhqfPiR5cT6UYz4+Xdk5Pjb7fD4+WJA+x/hCPqNgPz4XmEg+lfE3PtWfLz4K4ic+9PJIPm7NQj6wQjA+6LIwPo6JMD6F/yE+sosnPpjlPT6w7zs+A3YqPh4RJT4E5z0+9JVFPiKgZD4k8lY+QmY/PnIxPD6majc+j4xAPtnvWz4whFU+uuJJPsYxRz4QOjM+W6UvPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/RjhM9TcsWPXneIz1LpSo9fnZEPR+DYD3lb1c9JwpGPQPART1HtF49wBWBPZURaD1AZDs9VPUtPej5OD3YMUI9m9o2PRl8MT2C3Ts9LxxUPZsnXT3D+VE9RwBPPY2CZD3VI2w9pU+EPXqRiz07JIs96Q+EPWLIXT3QRlI90fJZPUUTYj3mnXw9l66CPRF7ej0mmmg9XRxxPeJPdz3vDIQ95axcPa+waD1ck5M9vIygPTMepT3gsaA946SSPSDFqT1z+8E9wPS7PbTdtT3zSak9aaatPTVDrj34JaI9RZ6ePRNdoz0Upqs9qtWsPSDLrj2BKao96R2oPTSlrT1UmKk9NGuaPQL2kj2ueZI9ZgyLPaLwjz2kt5Q970uqPRjxkj2yJYI9quWIPSMuiz1J4Io98MCDPboEcz0wGHM9MxRuPdcFYj3aeIA9EUV9PZXPgD3No4k9CMiNPbq0kj10rJI95uWIPXkphT3UmIM9zVlxPVL4ej2Di349RyuDPe6Qkj3hwpk9J5eQPbwUkj3b+5A9ggeLPY6tlD2Rf5E90KOGPYKeiT3CdIk9BzOKPcrIkT2y6ZQ92MaaPZHZlj2Ot409B8aJPed1iT3hCYc94c+GPUSVfz0ZJHg9bnR8PcKagz3DKYs9fLWCPdC0gD2VNIY9hzZ9PfOnZz0FgGs9qDN5PUYmgT09SXI9h4ByPfTCiT3j7Zk99FWEPSwceD3SSnw9/rd2PRJDaD2sIGI9vdZwPZD3gD3Iyn49N3KBPfgghT0JB3099kt2PTXJgj1+lIg9XmeFPaIodz0UNmg9Hy15PQ4cgD2dX209T1BoPTDAYT2bM2Y9osd+PSqLeD2mWmQ9JhFiPZHwaj3lt4E9RsCEPXlKhD2AxoE9Gi1yPabBZD0wM3E9/cx3PW5Mfz23X4I9TOx9PSWVgj2QU3s99WyAPdTBgz0XiIQ9dS+CPclSfz0p9289PeuBPcVchz3aOIQ9eTuCPSQXhz18Z4Y9gbWWPe9Toj3+9pY9Q0SSPTvPiT1OT4E9TKiIPZ67jj2g45I9GzaSPRzdjz0d8Yk9X3GDPV/3hT3DmYQ9kSiEPTZ3iz2B94k9gi6OPVGAhj0DqoU92ZaHPWfjhD19wo09u6iRPXFyjz2r9JE98tWUPeGtnD17P5c9kSONPbTdiT1NnZQ9lfOYPdfNnz3mhqU9DayYPZq9kT0KK409gtWMPaTQij3T0Z49soOcPTsXmz0tiqE9DIuhPXZhpD0hCqg9UYKjPQZ6oD3TApo9u+2ZPXJmoD0k5qI9zCWaPVqXnj1iSJ093M6sPZ16rj2Xk6o9e8OkPXYVpj1Hu6w9OsKuPX/rrD3ms6Q9Ub2bPWcqpD0+zLM9ZlulPRbfoT1E75o9KPilPQHjpz3Q8J498LCcPXfUnj36b6o9uLOzPYVrrz04mKw9mRu2PaatsT17fqY9X0WkPdqtqj2uFbk9/bi/PcFmuj2Lhq49E6GwPacVqz2FBqY97V6ePcK9mj1WapY9eBuYPVYNmT3ftpQ9z76TPVLnlD02RJg92liiPd7Foz1MMaY9u1mePZR9pD04aaU99jyQPSkwdj3/rVo9JDNiPZIvaj1nKnA98xt8PdCggD2WgYQ9EAaHPWlFhj1BzoE9bdRyPaWxcT2Ukng9Q2OEPUSGiz12HZE9SJqVPSAFjT0vVIw9+AuNPT10jz35VI89HJ2RPZMLkD2IKJs9C9mfPbCwoT0ld5Y9RaiEPY/Ihj1XT4k9ZaaKPdVmhz0LmoA9AMWHPWT0iD2Oz4s9iA6RPQ1clz1Pm6I9c+OfPYcPpj3hC6Q95mWUPVLxkj2FMoo9oC+APe+5fj2HjIE9Wr6JPe2clT0eLZ49LIeXPQScjj1/OJU9+ZuUPc+akD22wIo9AraMPULekz3sc589apGYPRwwnD1qk589eaiaPRBrkD3iwIw94sKDPcildz3zknI9plWAPW+wiz38Sog9OB2SPdRkjT1pi4g9gfyHPXSGgz0BOms9LOhfPb1iTT1jbUc9o4pFPT9YUT360Vo9r+xmPe96dD3OLXY9DcqBPRA9gD3WC3Y9bmZsPXAJbT30r209lSNoPXWWaD2YAF09YPlcPbZcXD32oVk9kXNTPS/xWD2FFG09EM1zPXwZbD1SbGU9cQxbPVHAQj0NFjs9haE+PUo/Pj31hjg9LyY2Pbm9Rz1SWVc9toxqPYfFfT0QvWg9YoJePYe/Vz2ZO2U965NePTbuUT1CH0s9229RPXJTYj2N02w9iQF2PejodD1bOWU9HgFfPfJsXD3IYWU9E41pPZ/KVT1WZFM9nhJVPRbrUT1qS0s9i9ROPaGuRz1tiFY9tqJWPasbTD02MTA9eAgOPZzj4DwrmNw8jW/lPOouCj2QfyI9/LfTPAwvsDwv4ao8Kc2kPGpcqjyh6d88KznyPFNOEz3s/Bk9RD+3PTFFNz4ERzI+pagpPmzpJD7VGRw+yyQbPv8dDj7QYh0+2WMlPjqEKz4EvTA+Ai0yPsPsLD7BAyo+R4sjPiiVQD7LYU4+WW5NPui4Yj4/2IM+ONaRPlCqnD6yR5U+jPt1PkHVPT4EFCs+Ht0lPtotJj7Tbyc+T5MtPo0PLT72CC0+AAg9PrftUz5LITY+z7MePhK+Lz43M1U+f4U4PvrFFT6R3CM+04EzPv1kPz5a0Eg+hOFLPqoSPz7QVDs+dVpCPibsNz7vYik+ZgcsPvsNJD60qR0+0WMfPvavJT52LjY+5RZRPm7rTj4dpS4+pZQoPtT6Hz75mBs+0HojPqIzKz60yCE+T4kjPn2/Pj5KvG4+KBVTPj05Nz6TREU+WxBBPhEIPT5kazI+NrgqPsh9Lz40eS4+gtksPhydKT609yU+Q4wsPj3kNz5fLzY+EC89PtyRPz4uoT8+CPw3Pt7pIz7Zrh0+CtQ/PpbkQT69aCw+3JwpPlnkNT4b1EA+H6UvPrA4Lz7WQDw+cBpGPujART6A/TQ+zhg1PpkUOz5YWks+cLdDPu3JTT4fYCs+t2csPhPnLj7dyjQ+ndA1PgtKQT4FcTs+8Qo3PuKONT7EQzg+DQU6Pm1/IT5JvSs+a+c3PqVYOz4330E+jWlcPmrnYD4kpIY+cP1WPn3NND6/yEE+EDVvPrFeVT4+Klo+OXQ1PqT7NT6S9Tk+eRlOPjXJPj6R6Cs+ejBFPii1Tz4zTks+U9U/PsHoQT5CMzs+QHs8PuK6Nj4TAzg+OzJGPliwSD6to0A+5k87Pp/YNz54VEA+I1k2PvylLj5hUR4+lRgiPiuZKz75Ti4+D7ExPq4IKj5ReCU+OtQTPjd6ID7+oSY+CwknPmbFMD7NFys+FYc1Po7cNj5iASs+pNQrPg4wcj6mvH4+YKFZPuMzSD7iwz4+J14oPu2DJT7HhiM+fa4TPibVCj7NPCw+wB04PpVeVz4FaVQ+xpErPp5XOj6GhTg+4X86PgSgRD46qSg+IVYbPqRYKj7FfDQ+pSc9PgjKUT5ORDY+vW84PsVQNj42mDI+LL48PgFvMD5opxs+IgoUPnp2Hz78nyM+wO8lPlIqKj7B41A+kTlCPmhXHj7hOhQ+hbY4PlYdUj6D3mk+Ex1VPjsxSj7ciU4+OhJKPsZkQj7V+SU+Z24xPg/3Uz4eGFs+vIZBPuTARz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/HYFBPX6kPz1MDTw9pds8Pf+gRD1L7j09uktPPdnfZT3K5GM9dNFxPe3rcD1KCFg99ZVIPX71Tj2CUFA9gHI7PYp9HD1MfiU9cYNKPeuHaz3pmWI9wCFFPfsDZT2nFno9S4N+PSCWZT35xVw90URlPTKxcj2Ghlw9AEFfPb6QcT1QfXs9gDSCPcSWgj3sMFw9PlJlPVJ6hj2UF4Y9bFaDPcJmZT2SIoI9EueCPQg+kz3Zm6s9qq+tPW3boz1sgqs9unavPR6orD1YD609x8+vPbdOyj0UrrM9QuWiPS3QnD2NXac9MQOrPSiopj0iP589KimXPQq6lz0EcqE9EvijPRI4oz3FV6I9kAyiPb/hmT1+mpk9LpaZPQFBjD1Kn4c9XLiPPXbllj36p5U98SqUPXJKkD0EJHo9yiV3Pb+fYz2KBFc9j7JbPSuqeT0ovYI9NWSRPSD9pT3i8qI9iFSdPcCLhT28aH89RBF5PbwIgz2lb5E9ifGHPRb7iD3/EIw93fKIPf7LhD33soE9DYWIPbXThj1PcoQ9isaAPRwrfz3YgI49c6uXPTs4mD1f1po9j/WSPZCxhT0KRnw9TFmBPVn3iD0v/pM9ncmNPY3Mhz2o6nQ9nq1uPaJzcD35ooA9it2FPWdUiD0xFYM9oMeCPRFBgT0iJII9w6GJPea0gT2aG4E9lstiPZ0eYz1ivmY9gvVrPRurZj0ojVM9E4FaPT9EXD0buF49HoloPTPGjj0Cep09InKWPczemD2czJc9b/V9PVdwXj10A2k93nN1PYG6gD3bOIs9ULGEPY+1aT23l2A9YtphPe4nYj1YPmo9rxlpPWm/bz0XLmk9vQRsPZLDXz2hHmQ9WLxiPXSggD3FRX494eNtPbMaXj25DlU9ZeFrPa5BfT2soXs9+ed2PQB0ez1J74g9W42GPUxggz2hMoQ9O0KCPQm2gz08zIk9L7mHPRhigT04aoU9FmCKPVxWij2LHI09qKqMPTKEiT3l3I49Y8eKPZuFhj2ZWYU9CMeKPYuagz13K4w9jH+PPZJPjT1VjY09aqONPSjvkT1AUpI9z3KQPVnljT1Jj409IBWKPUqvjj21YoY9FiOGPZZAiD1tEpA9hu2QPQwRlz3qI5M9JS+TPff4mD08Qpk9B+yQPYlKiD14kJE9o7STPXgjjz1YvJI9J5yPPeWQiD0hp409GrmUPVp8lz3YO5k9z8uiPaPypD3g4Ko9NBWePb4nlj0jm5U90yeWPWUnnD1r4J49iOmiPQcIqD2tKak9HN+oPb3GqT02Q6Y9crunPfoBsz2DzrI9JTuvPbsOsz2tzLM9UWCuPfSysj3UbrE9EXelPe/Smj2wQpw9i6amPVkKqz3UvK09HpiqPRekmz0Gu5M9KhKdPZ4GqD2cMqM9uVigPXaLnj0RF6M9z0mrPZX+pj146rA9INO1Pe3DtT17PbE94aO8PfzLuT3cW7Y9SSWxPd3lrT3iFK09m26dPfBRlD1cMJo95KqXPY8jkT0Wt48959GYPU1Poj0wB6g9h9yqPbnUsj3ICrU9ZB2jPfJ6lD0bgpQ9LrCJPXrzeD04EWk9QuhkPZKEgD2Jo4I9t+qEPSp4ij2VS4E9CrxvPbXObD3NE3A9YQx1PUuadT0aNXs95QuDPb1+kT37g6A9X+CgPVhDoT2FAZc9WXCQPRFcjD2O2409psCOPQdclz1W1JA9DJSDPaq9hj2kt4g98q6HPWe9iT3GVIw9IlKNPYD7jz3xgok9IiCEPerHkj2tup09raSbPU45lz3rcqI916arPSFHnT3BEo49o0GLPUZ9ij0x5Yo9La2HPVlLgj04BH097geEPU1hiz2Pb5Q9tEOZPfMKmz0jsZg9YWeXPd9noj247aM9f6uiPZz8kT2t94g99hWKPR8yjz2pNpA9moqOPSNilD26VY89+dmLPe4Viz0Igo09RaGOPQutij1LT4o90QGGPVQghT2z/o49fmeRPQV2gj3AzHk9rRBvPTIrYD3w6Fo9/JpYPR8oTj0NFVI9cZxkPUxIaj02L4E94gGDPcLPiT2ZT3s91/JwPVw8XD1Kuls9qz9cPcHBVz2SdVQ9QrdWPd8CYj1XCGE9rxBOPZMvTj3Y3GE9yCJtPbhPaT2Kkkw9SppAPUrCPz2NMDc9iFIxPRy/PD2XGkE9U7JIPQTZSz0THU49x3w8PYYiOT3njkg9ex1SPYfvUj1JAlo9l+diPbo3bT1M/GI9RohiPa4jXD3si2k9op9tPcnYaD3lpls9DmhLPdRlSz0GfVI9y09mPSZXaD24fVQ9V7pNPfOKST0ae0A9tD47PXfoPj34ByM9RYAPPekfCj3PifA8Sh/GPIYnwzxIN8I87c+4PJKosDxs26w8KxG4PO3owDz0YaM8Tt6kPJpBojxj+KA8uc+mPLTy4DyoAho9VGgUPdW5Lj3Ajr89zmVDPurWMz45BCE++SQYPor2Az4guts9rCcFPusrJj61RC0+YMgxPu31Mj6O00U+N2pbPpYZVj6FyjE+oilbPjGVZz5T5XI+jIelPkTbnT6RTIA+dshkPhBtOz5Pnjg+Aik5PlliKD4P9iQ+2H0mPtFPJT7AAyg+Mx8mPr4OLj7/FEY+Y9AzPjMJJz5DnSY+Hbk2Pi+zND7zwCI+eXAkPic8Mz60aj4+fDc2Pg5PTj42fj4+7vksPgEpKz51TiY+OnImPnxPKj5anCY+HVUqPh0oKj4IYys+Oz8uPp1aQj5oxE4+JGQvPsibIz4ksSU+O4kmPkL5Mz6D9SY+ORMyPqycTD6DGFI+HNhTPny3XD56iTg+AEcnPg6AOj6fZUI+5nhUPqJWQz68+UM+5lQyPmojUT4nZlo+hzlbPs0TaD6B62M+BDFJPnsyQj4BWEE+KBA9PqbwOj78+i4+wFgnPqD7MD4lBTI+o58yPvzjOD5I2jw+O9plPr+EQT7GvjM+3HkkPi6EJj6nwCY+AuItPop4QD6o2E8+WWxUPtmAPj5o6zY+XmYjPvULKj5qzi0+e1QuPu7SLz6h3ko+d21IPjF4Nj4oGDU+XHo1Pr2SOz5+Sz0+3zpNPrKoIz47Cio+PyE6PnvDSz5Zqn0+Jl2lPgNJYz6zW0s+fzw8PkJMKD66tjY+GpdXPnIaTj4IoT8+g8ZSPgLfgT6ohXA+jxaKPpBGbD58pIs+f4R3Ppf+RT74vzw+9ts3PvQyQz4lJkE+T0RBPlViUD6B9EI+fI8qPv52Lj4+0j0+kbo7PtXPKz6Feh8+ioclPuyoJj7kaS0+kUE0PgjvMD75MyI+wMYnPtlEHD4Trxg+xlMlPozYKT4jg0A+w/MyPnvTND5Jji8+SfksPjfVMT5UTkc+glRUPlNiRz7Sj0U+SEI8PlnfOz5ZSiM+cMssPgIoKz4xVBo+JhMMPnvIBD4923c+oLp3Ps96Iz5dkCo+Q5sqPt2HIj4oVy4+/AsrPgPgMD6YnSY+KfIfPqP3Hz6NzhI+mecZPhSGMj5tikI+aB1APnzrNT6wmBQ+rYISPhR9ED677xA+8ZMSPmlfLT5frEI+midLPrGkRT6oLEA+n6w7PjIDSz4882E+/KxRPsAATT6h2U0+XupIPvkURz7AS0o+fyo/PjA1SD7QREk+7Kk0PvEOKD5t2Cc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+rVRj24q0M9NN83PdvbLT2iEh49uC8mPfgjPj25fFg9nA9ePaQWVz3fgUM9PG5KPebiSz1O3VE9zjBAPeTWOj03ZCM9TiAnPYZkSj2T/0s9Ojw7PQD1NT0rn0Q96HJMPXbqQj0SAUU9MFxiPWq+dT1pOmk9jJBJPX+xWD3rfnE9ZH+BPV2vgz2fw289YJlePTiQgD1wOJY9hOuEPUiKdD2954U9yZ1wPcHSSz03FkY9TJOFPSZBmT2OK6w96ujHPcGtvD12FJo9DZyNPTy6jz1g06U9x3SsPTN5qT0/QKQ9hxGtPaYtpD1oJ5k97ECPPWZwlj0F06I9oSqzPQlQrj2NIq896AWzPflOqz0ts5Q9MGqUPcCzoT17zaM9/dWkPRJZmj1Cmp09keKWPfbHkD2GdY49RP+DPWkgej2QnGw9qzxwPT2+fj3isX89/zqEPb4/hT10s4M9oXyCPWCbgT1794A9ZUuEPfwGjD0loZM91mSOPYI0cj2FPHA9V6KAPadHkj27G4I92xVlPcoAWz26jGM96zF6PTJakT37/Zk9nbeZPagalz3RupY9yjqUPb8diz2VAI89d1mRPWWgjz33AI09qhSKPeJ8jD2EPog9uZmCPdy/eT0MAXs9I2CFPUbLjz2XPYs9yj2DPWA/fD0FLXQ9LWqGPQiklj0pBY89KleOPZEBkT11vYg9v/13PTyRYD1/kFg97jFfPcHjbD3Ty3A9+jB5PelZgz0tgn89r+d0PQzNaD1djWw9o1N9PXbvgD0y3Ws9aRFtPZcthT3axZA9CdGNPevBcj0un1g9iOlUPbM0Zj3kQG09PLtwPeA4Yj1ZdGg9uvB+Pabzgj2sPIU9uLGFPUT0ej0OP3E97A9mPdzVbT2bzmg9u/JxPVhMfz0t8nk9uIJ6PdIgeD0oRnw9G9aDPWZmhD2JOoQ95qGCPaY6dT2dK3w9VQuCPeCdgD0YM389n+WCPeszhj0IB4s97K2OPS+NiD2U54A9P4iFPc2uhD1fQIo9lh+UPQTcjj0Vtoc90XSOPeUgjz3iiIs9UhWKPSLOij35v5Q92TWQPf2cij3ezIw9aDyOPXbUiz18i4c9uN6FPeamiT15FJE9b32TPf78nj2pu6M9St6UPYgriz2d/389Ujh/PZU3lT0YFaI9DbOlPXTMoT0q0pc9UDSWPTDslD3rNpE9gOGZPfFqoT09J5s96fGZPXJOnT2cnKk9mMynPaqAnD27gpM9fW+VPfgvnT3Eh509otufPXr5qD0eEbQ9VE6yPTzYqj0aiJs92jWXPXXimj1h7aA9BwGlPaQTpj1mbqo9IcapPUtIpz3h5Zs9kvCYPfNxnj1/kbE9Ee6wPTFQpj3Y+qs9zdyqPXLPpz0u+5w9hbyXPf3KmT1Pz6A9AdSZPc88mj3dC6k90Oq0Pbf9uj3UAbg9/p2rPd9EtD3q37k9Mme1PbAuuj3LVLw9MYW1PRELsT04Lag9C3+ZPam+kD1dxZg9KpGkPemjoj0V15k9F8qdPRCfoz3D3KU9/LqpPfqKtD2yj7s9RkWtPRVeoz37OI09612FPbDyez1F1HM99/h9PVjeeT18JoA9il+EPf2lgT3blHc9DrtgPZ1xZD35IIE9t0WMPWofjz2rKos9M06KPe03ij2Mn5A9odyYPSB4nD0Op6M9d9ihPYb8kz0yAI09CvGMPQIajT2+vYw9vaOHPSDziD00K4s9HoSLPdXZjz1jCJY98wKePe1Biz0cio49RtONPTnaiz0UvY09TOGXPcpylz13M5Q94zGYPao9lz22BZI99sONPaFHjz1BzZE9hvCTPUz6kz12M4s9/KSFPaEOkT08dZ09wPWiPRZaoD3oX549oS6bPW9Vnz3Eeao96ymtPeHNrT0BfJg9KdyLPcPnkT1eHpQ9TaaXPdOWmj3AJpI9lIyIPbOxhz01FIs94SOIPSkRiD3ckIc9a+yGPRn8hD3DjYc964+CPds2gD2AYnU9PexoPVKJXD0+gU893M9PPQQSWT2C41k9Be5gPfCfbj1gYWw95beAPUNPhT06xIE9OIJcPdd4VD3SaFM9IIJMPQ59Qz3K0UQ94vBOPaOuVj3LJ1s9EH9bPUQnZz1Jomo9CnZvPW7Hbj2tZn895Wl3PVIyVT3z/lM9VttNPUsbQz1Pz0Q9rQFVPbN4Tj3m9kQ9nFArPWmWJT2fFDI966xBPSevXD0hW149al1iPTtUbT2geHI9gf1pPaiDVD0hjlA9TDJHPaltTT0rB2E9/ylTPe36Tz2GPGg9NfhzPf5hdz0By2Q9uvNRPSnjRj2/NDo9HZkuPSq9Fz0tXwE9IULePM9HuzwJqbg8z7uxPPEmtDwLlL88oQ/GPFuXtDwg16Q84cOmPBC/qDwdAaI8MbuuPHLMwTxiV7o8HcWwPDnmsDyOgL88TzYSPYBvKT2WVCo9uKRcPTSSGz5o1Gk+NFFEPjYoNz4TgSU+zt0mPshHJT6o9C0+wpswPou9KT7f/yo+J2AoPjZBGj62jS8+qDRJPiUmZD7jmm8+6CxyPq1Vij66DGg+jk4zPrcOLz4aiDM+pnUxPvxcOz6bnjU+HEUlPiS2Jj7aqS8+ty8pPoedNT4TajE+5O03Pp6iLT622Sw+UewwPo3EOT4LSUI+ncczPgAGOz6Cpj0+2tQ4PtZIOj5Z/GQ+TGVrPvj5Rz4kiDI+C5suPhBeHj7IHiU+DZknPttgUT4NzEw+x1VCPivCJz5pKTk+MjovPp/ZMD5Csy8+KL8uPrpkgD7wKKI+YaF/PrbMVD4rEls+unJdPuVeVT6jqVs+nk9GPpR1LD6h6C0+cb4vPtVZMz7f5Ck+nbg3PvfTQz5DMlg+8J5jPqyIbD6WQXc+1yZlPlmcQz43hTU+KRE4PknLOj5NHTo+sZY0PkEVKj6n1CQ+W3ItPsz5Lz5I/zs+jNlUPhfkUz7tSSc+0PkfPm5SJD4ADC4+DQ8tPve9Nz5VP0E+lEFbPhZcTD41ACY+RUImPsOBLj7AeTU+jXRBPvTrQD7Ndz0+faE5PkkSMz5NfTI+uvsyPsNhPz42nGo+9oVfPsXmPz4Wph8++kocPhtYJj5qVjI++6NEPnslcD4AEU4+NT4kPquvKT4sIjY+gV43PkNDUz4qQ3U+19FFPin8Oj7y30A+qddaPoFPiT5Q2k8+AD5BPi7UQD6Ybj0+GTw4PsodMD6WnUw+3hRIPsx+Pz7RijQ+g2gqPpuBLj6i0ys+QhsqPqFfJj788yM+mN8lPj0fLj4cBTY++JkrPi8ALD4CJyc+BnUhPq1sNj7XoS4+BJAiPnbsIT7/3Bs+He4ePhqIKj4f1TA+cuM9PrUqPT6l9TI+GzInPj+NLT5NNzg+sJI/Pt+wOT666kU+jYA2PrjZLD4B4ys+pzQsPuUaLj7D/zY+s747PokCPD49dzI+ZdsvPgINMT5QiTE+WHI4Pgf0MD6rRDY+jiEnPuULGj7jBiM+jMwiPhlYHz722i8+9wEuPo+7LT7tAyc+3cEnPkz3Fz4+Dxg+8q4jPhs/KD5kakc+tH5UPq9SPj6wOTk+mFFIPraxQT6i4z8+iu5cPmupaD4iymQ+RhdXPvh1OD6qXDI+sgwuPuahMD7Uoio+Lq4hPndRLT4QJjE+//w6PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH862TY9of8zPZ5ULj0m9yg9oQcwPRK0Vz3i01A9e1daPXgpWD2l6lM9T51JPQzhYD1NBmU9nNFRPatiNz3ski49fRMjPejpJT18rTM9ChwnPVyJJT0bdiA9mL0jPdBxLD10UzY9WGJTPfywWz2vCUg92ns8Pf6aJT0zxlQ903VkPZHCgj1paJ09HMaiPTC/pD246JU9Wl6RPWfLhT0vMHo9MhJ6Pc5Qjz04sX89fA1XPZSJZz2fU5495dmsPXYU2z3ki6s9X8uKPX79kz2NaJI9IViRPYBokj3/AJo9qi+fPZOSqj1inLE9CIiyPef0tj2JhLk9atiuPXqvnD1M6qA9J4SiPU7MoD1f+J49Y4agPXeKpT0eWqk9Ox+pPed8pz1FVp09RYGYPcwejT01BYM9CauDPUF9iT1x33o9hDBpPZlwcT1hjoQ9Z76KPbDAiD1bQHY9d813Pc++iD2HM4w9HJl/PUVGcz3pMm89Nmt3PcMhdz09w4M9cryKPUhZkD07K5M9utSBPbtFfD2wdoQ92zeRPUaOlT3LTpU9sr+QPV+Mjj3634k9heGOPWshjT0MapQ9CjmgPX6zjz21rIo9Syp/PQGVfD2cC4Q9RQ+DPfZViT2ONY09MGGJPQz/iD3J9Ig9ZFN1PVVyWz1rtYY9V1WfPbbppz2ekKI9qfGdPQnSnz2fuIY9HPt0PWWPdj1D8Gk9WudxPSaieD0utnc9WGl2PQDobz1I7Wo9w3phPTQCUz3d20g9sc9IPdbNUT3T5F49HrJ3PUjtdD3laWs9ftdbPQwZUT0gsT49YSVNPfHKZz25O349motxPY/YZz1GKFw9xtJnPSMUez3nEGo90wZnPbkMaD0xJ1o9iB1kPcvEez3EGog9lo6DPaOTej3Ru3Y9CA92Pb2AeD3fnIA93xx8PbXIeD2r7IE9rYOHPQDJfD1jQ4I9dRKEPQmJgD2u4Hc9rZt2PeV+gj0E8Yo9+ZiHPRdmhT1TzYw9mr2JPfznhj39J4A9F3qDPUwEhz0AIo49saSKPUJlkT310Y89FH2KPSmsiD2IloY9I46DPYfHhT2H14c9+neJPb06ij0CpIc9OoOAPaCDdz1jDoQ9QduOPZ7bmj3+e549YumgPZ1TkD0jM4k9LYaWPTvfpT2z07E9hdyzPRQYtD0Qy7I97uuePSNKmT0LDps9M52ZPXjdlz3nLpg9zN+VPXhxlT18kZg9EA6ePYvqlj0nuZg9wLefPcsCrT2tTac9J2irPfa3pz0txKE9kEyePXOcnj2azZk90zuNPZ4mjD3bgI09LDmWPXMuqT0ks6o9SJWsPQI/rD2V3q09rYSpPXBesj3aN7I9X/i4PRJyrT3NpJ49m46XPbaypD1+IKY9vqakPUJ8oj06Sak9X3ykPYiFqz2XL7Q9sHe+PZbXuT2FQLw9yEq8PVkHsD0kDKY9f6miPcufoj3+8K09VBKtPdMhoT3iWZ09IM2ZPeNElj3wc5o9WjWePSVbpj2UO6c9QMupPexjsD19sq89k+CpPemWpz0dRKo92TKrPZ2yoj2eT4o9UKR/PaEwfz1Xn389LbOBPSnijj00iJU9krSgPcEvpD3nYp09+iuPPXaDgz0pv3k9eR6APRXxhj37/4k9ExGGPacRhj3PNY09EtaSPdhZmz3eMqA9Yv2YPa+Wkj3HmoY9TP94PYC7gD0ujIo9wI2SPYgekj0CwpU9n96bPW3HnD3y3JQ97cCRPSl1iD0Ll4E9xcKRPZbCoD1815w9tvWUPQCBmj27cJQ9/w6IPWMFhj3Q+Ic9GUCJPTaNjz0JR549hXadPXTopj2UaKc9eOWdPViblj0QE5w94tKgPXknqj0+Bps90wiWPUEVmD3w5ZI941KZPWDTjj3hk4k9WKqJPfVchT0mO4Y9wReKPY96kj2wcpg9+9iYPYyPmD1fkaE9x6SdPW2Ljj0X24w95BqOPXwNlD1NMZE9K5+EPbZYez1l/nk9tZx2PcJZYj0QVFk9CiNXPQ+7ZD33s249PpxvPfnObz2BhXI9urR6PexIfD006Yg9FKCHPT6TcD1FYVw9wQVePVYzWD06h1E9y9lRPR65UT1sFFU9aLdlPTLXXj2xTn49pyCCPVvVhD3hU4k9GcGgPeunmj3jyFk90ZRLPcIVQj0LXDM9fEs1PbMtOz2nCj49568vPf5QLD3PiiY9a/wxPZ7GPj1JXk89SJlgPV6+aT0dH3Y9hPhwPUHDXT1ECGQ9pZ9cPcbDVD0h6FQ98GljPULnYj17/GQ9vVJwPVz/dz1TU3A9GmtYPTAoRj3KXT09s9QwPWDHHj291+M8jJO/PN1luDwGcq08md2tPOvVrzy7rLA8caSzPOXMuDxKNag8YE2fPOkmqDwbzao8lqq7PNMEvjyRgMQ8EB/PPMoJyTyGZbc8NfOxPCzGtzz0b+o8YIgXPeYoKz1zC6Y94DZTPnBWVD6DyjE+zmAvPuIjMj56oCw+JvUvPnzWST7QzTU+nggqPojxJD6QGxI+q0IzPo4yRT63Wjw+RqdVPv3eXz7Y0kw+uwMmPrEIKz4Q2zA+MiMqPsUaKz7sNi4+shoiPkVFJD6T7yI+w9YnPmQdLD4vYx8+8iAoPmjBQj44MT4+NcMePjxYGD656yI+ZpsvPpWXST6BbUc+z9Q1PkAkMT6bD1M+XhdjPpdKWz4ndys+9BAhPixCID4e6SU+nxxEPm/gJj7B6S0+PNc2Pjc/Mz4j5yc+/pYrPtO8Lz7dfUc+XJJOPiu5TT44Mok+EQysPpF2ej5MzSc+cy8yPunASz7yTlU+xPJLPqYzQj46Zzo+8wQ0PnldNj4F8jI+RncpPlzWLD57CkY++ihbPrJLeD59qog+MHycPlPhYj5bozg+TxI8PmhhTj52KE4+nNVIPrRePD4fQic+bTMiPrHhRD6yoEQ+SmA4PglhJD5hgi4+3CQgPv+tKD6N1is+Xr01PrO2Oj61wzY+ag0zPg6mQD6fADw+CME0PjhPND5OzzQ+pVc9Pm69TD4CXUE+5E4oPq0EIj4pJyY+CIIzPqjQMj7LGT4+5t9MPjOmJT5pBR4+7bccPqMIBD7reBw+SWQ8PullRz4UUU4+aiuAPpgpOj7dH0M+BAZGPu3xRj7RYEI+9VZlPgQkMj5+Uxo+r4AqPmQUPD4Jrkc+Lfg9Pk/VQT6RvVQ+Iks3Pv9IKz5YsEE+KzJOPuS9OD5VVzk+q8MtPgQGKT5ktSM+EyEsPrKsJz7Gbhs++9EdPlDYKD5u6iM+RbcrPuoUJj6WUiQ+qGkpPhswJT4TMyw+tH8zPtcjKD5pOSU+kc0qPkvnLD6ZbDo+CjQuPvHOMT7MeDA+NmwrPqwzKD4eSCs+JUU5PvRBNz7EvTE+AzUuPsZvMz4z4Tk+afAuPuG4Mz7BfzQ+OGJDPndCMT5tohY+ecYZPoqxKT5NeCc+PuoePoqVHj7ami0+lqc7Prn7PT7Jhyk+0NUaPh/HKz4AsSw+2dMdPm1lHj6lIUc+r2FSPk0yQj69OCc+yAcyPs0qRj7xmTQ+FXYtPrZERT6s1kI+QwVBPiebOz6LVEI+Rg5FPrk7UT4VjFw+UgdDPpSzNT5Ez3I+GPF6Pn4dRD4+7DY+AKEuPpduMD7qcz4+nr5APuQNST4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/96gvPRn4Mz3Fy0E9k+E9PetHOD0VfUs9Ad1ZPcRQaz1392g9KNFYPfoiVj1ypnE9a0pdPWw+Qj3Ilzk9DGJEPahORz3G/lI9tHhQPclRNz0MEBw9QakXPZaBFj04QSU9Ptw3Pbv9SD3Q/1Y9KuM8PYu0Mj3b3hQ9wYk5PRLUaT38kpU9hpWmPVBQqD2Nb7A9sfWfPTDXjj3584U9AM6HPfs1mT0mYbA92eelPbZhlD2hXJA9MT2WPXQ+jT0FF449xQGDPZhGdT0WuYE90yWGPZSxhT0K5JE9I8WNPSwfkT00yLQ9YgnTPV0ztz2V/7s9zdKoPTSVoj3iAqA9EbSLPQ8Blj2Ihps9kAWlPd+Ynz1Atp49KdiVPf+wiz2PHYs9EdyFPVDDhz1/VKA9L5+OPds+dT0SWHk92IKFPZhlhz3t7oQ9Sr+CPfYScj0uBXg9lrWIPflCij1A4YI99Tp7Par3ej2k/HU9jOB3PX4rhz3h75k9K3CePftimz3CLZM9eB93PS5OdT26eYs9b5WHPVB8gz3KPIY9ndKUPbDHpD3LO5Q9jLyFPcujhj1STYs96mCKPcZ5dj1wuW09HcKSPZQljD18p4Q9jzGBPXC1mj0cXq49m1maPR76hT2YeIU9I5iDPcchhj0+YZI9OcWFPSsDgD1uzIQ9TQKEPYH0fj0WbIk9IsaAPW7Shz0vXpE9sliGPS5cbD0Lx1w9VuV9PSuydT0ZAWM9fbNbPe2xXz1cumg9DJlmPfxqcj3Q8Xo9R+VtPbcrYz2zAko99J8/PdhRTz0A2VQ9AL9XPZK1UD0hQVg9vFdbPavoZj3s2mk9mqJePeq6dj3D03A9R1BbPcV/bD29J3Y9v717PftCfj3W/4E9NSGLPdeOgz2vCXk9iQZzPSb1cD0RBGM9L4V0PUsVcz26vm89ak16PQqwcT2tPWc9GWp8PS0TgT2tNnU9fBdyPZLDdT0lOYQ9arSFPSbVgz32hIg904SNPZNxkT31kIk9XFmFPSlWgz3RdIQ9M3+EPScRhz1wiY49eFeLPWb4hz1vM449UD2QPdhnmD3SU5c9LpSQPerhgz0jt3k9H5CAPQgXlj1k25Q9zQeLPTksmz3CVrA981uwPbcYpz3jH5o9jgaXPX7noT0I0K09Ek6vPaCorT2m+J89+VCdPZV6oT1WKKQ9kwikPbL6oT2CDaE9sKqcPZnrlD0S+YE9l3qCPd+ajT3RGJ89Gp2sPT/nsD3yca0957GpPUXIoT1xhKM9BIKVPXHokT1W55Q9yjqTPaMZlj0j4qY9nKCrPUq5pj1f1aA9K9yhPYKUqj1Giq09PZqtPS/AtT28Zag9vm6qPfnTpD2K6Js98LuZPbjmoj23nbE9VK3FPfhRtz3bO6k93Z+sPde5oD2N3589jgSkPVZEqD0Dd709gM2/PYXfsD3mb6Q9rfCmPYAFqT3Od7A9ZAizPVfqtT2PcKY9joOUPbhPlT1vqqc9WxemPRTMpj3xXLE9FGq3PaHCtT2fkbM9qh2tPdZopz1D8Kc9OHaoPdXFpT11vYw9zk5iPX2nbD27N4Q9/x2LPUidjj1Jf5k9hiTCPTWwxD1SsqM9YquTPd9Rkz15q5I9C02GPUnffz2H2IA9mOyIPdXbiz1dJ5U9E2ScPZC+mj0+0pE98EOGPct4dz1L0nM9Z152PeB0eT3LL4U9+XCNPZ8BkT23HZ09vNubPXzHij2wS489lJmMPbnniT2Lno89TCmcPS40nT1m0JI9sM6RPUSYkz10rZg9/muYPYSaqD2+0ag9nkiaPSQYlz0G8pU9UmKTPTE1lD2T3449aISVPYznmD3lsag9eCeePeFfiz3z2no9zKiAPaNcgz2ODoc96Z2NPX1Oij2a93g9EEN4PRLeej1jN4I97AaGPQtBhj2J0Yg9e2WVPVstmD1Dk5Q9uxqLPYn3iz1AX489/TaSPVwVkj3P4Ys9CzqEPSTJfD1Bqnk9e4J7PSo8ZT1kK049SLdNPUAZYD3gcIE97XWGPYurjT1MhI49qZuVPRILjD3ZR2o9G3hcPWTOWD0vzFI9VxFCPQMsRz1pMVc91ThfPYYgVD2Snls94zVwPfQOaD2LG1093uRqPc3VeD0nlXI9uq1zPdkjgj1A12o9Fe86PbqDLj0oiSo936QmPft+Lz2OLzs9o+kyPRVUNz1dZjE9VggpPY+YNT30VT89xuZWPZ33aT28CXs9sSV8PfXDaT3vZm89wYiEPadFdz1OpnA9TwdiPZUZVz1GxVU900BrPQSRaz1sF2U9DONKPTlVPj31/Rs9OZ8TPUJFBj2CA988eCW8PEAIvDy3R8Q8bJ6xPOz5rjyHWLI8S6m3PPGvsjzyALc84DavPEnFtDyz7rU8iP2sPLQFqTwzj8k87KfXPOEr4TzPiOE8gSrKPOEuujx958g8XdsiPYfHLj0Glw09inI1PdEYHj7c4FA+vCk2PiQjOT79XDY+1g0tPn1VOD7A0EY+AD4oPv5BNj6Jdz8+moMePoHoKj6NnT8+aAgvPlARLD6Ioiw+xRYyPnAuOz6HOyw+KXIpPpgzKD44kyg+FvMfPpRLJj7LDiw+oncrPvcCLT61vi8+hDsuPt3JNj787zo+ftolPsc4Ej4w7BM+LCwoPtDUNj7XaUI+PMQ5Pg2RRz6Hb1M+WQ9dPt7zUz7mRD4+6ugRPukaFT4KfSg+e985Pt5pKj5HtRk+TIAlPrwfMj67QiQ+fDAiPmTrHD6DriE+gU41PnbZLz6z8h8+8S4gPkHILz4RHjc+7l4vPvRYKD4dyh0+yMYePp+5Jz5DKCg+sIMyPp7PMz4+Yi0+7vksPpixKj5ZxCk+5V5HPtbKgT6rKIQ+kf59PsrpVD681zg+0XIwPvssNT7lAys+GyMzPlZuTT4Q+T0+RcEnPq7TJj48by0+bVIqPjuyJj7W3iM+ObEsPhyOLD5THyw+qdsrPiZxKT68pC4+IHI4PtSUST42UUU+9VZBPkFKNz65ly0+9ZQuPpN7RD4FczQ+/EQwPtKTFz7RkQI+atcsPmRgRD4JAi0+kZIuPqHIKz7glSw+LxM4Pr2wID6FMRs+W7I2PkB6QD5ZLk4+tGJRPk/Pej4KI1U+PURLPqGsQz6/ND4+ihRFPlclUz5FOEk+Beg6Ppd+Rz5z3EM+Cq9HPoZIYz7Vy2s+7XxkPmQtST49mzA+D0o0PgrhPz5HMjk+uNYtPp2uKT4tpyU+aNciPit8Kz7+4Bs+INkYPoBXJD7JCS4+QG0dPqzwKD69BEI++CNOPvKkQD4n9Sg+onodPkFbIz4tyCk+q7MsPrasOz624ys+i3ZdPnAnTD4wDDI+aTBAPhTZTD4XUlA+pB01PvDwej6Dyls+A2AwPoU9Jz7moDE+9DlCPtOxIj6DfiI+8FovPmZ0Mj7LDyM+oRYRPskuFD4rBxo+RXIUPpaSEj5JdB8+ag4mPnWJKT6M9y8+G9YlPs01Hj4zlho+96ocPpDbJT5sSyE+QX47PpwJQz7tFDg+GGgwPjFcOD5PK0k+vMo7PpDlND55CkA+PTpGPsUbOT6nEi8+s9hEPjzuSz46I1M++aRSPiFlSj7vU08+jlNAPn4hOz7BTzA+5VlFPhPeQD538jk+l0s5PuY+Nj6JiCk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8MhNj2MvDg98hlGPT7XSj2i9FU9VV1SPbnNdT2/8oA9Ey5wPciGXD1X1VQ9kK1zPZiBXz1LtE89boJSPbaXWT0eUmA9YL5NPSaNPj0y20c9xY01PQAVKD3j1i49ShY1PTYQRz3ELUA9+clKPUCxZT37sWk9kXliPa8LTz3UeWI9bJCDPQ2vnD0abZ49NLOaPQiWij3OA5E9SFKPPb6qgT3+S4E9SqKFPcnmlT1F7o49ummEPZeOhT2BEnE9PvxrPejbYz1Ir3s91J6NPX5+kD2jTpQ9KkmUPaXPlT3YMZk9cYuzPemTvj3C+as9DpOrPda3pz11B6I9Ct+WPWZhlD0g3pg9zCmVPVmlkz218Zs9HiWVPciqjj2W5JQ95CaQPdU9iT2wRH490TtyPZ6ufT18vGQ9nthhPYqTZz3d6Gs9i4CIPWociT39H3w9vvJ3PTJJdD2JlXI9SVeHPbELjD2ZQo09GdWHPWTPiz3yHoo9Dz15PbTIdD0+O3s91Q98PR6ubD1au3Q9V21+PeH6kD0AnJw9QsqcPXtplj2v6JQ9Pe2TPU6BhT2weoM958mBPdH4hD2bFYU9jkeSPdWGqT1cg6I9LtKZPXpMmD3KhKc9bVmiPRfrgD2dbHM9BRBvPVvWeT0+nG89Om5oPa4ugj3lS489K+maPeXWjj1s+3g9GSd9PRevhD15qII9dqx/PedSZz1bHFU9iQ5sPTouej2TsYI9rkeCPYFHgT0OJoY9Qr+HPRyjfj3glmc9J9BePRwQSD0RgUw9xpJcPQJ/bD1ZYHI9HGp3PXRJcj13uWY9aChtPXQkej3pRnY9PN51PQ+pej0WB2s9IINcPSgQbD1w/ms9D/l0PTwgez2+nXU9cCpvPa8Mbz0613E9wEVpPUz0Zz1yfXM9SSVwPZ5Gcz0nCWI9wBhRPcwDTz1Cb1Q9qzBcPT6seT3EsII9TRSDPY2Hgz0+nIA9D+uDPSUMhT14Qow9jYWPPRFNjj3URIQ9kWSFPZnRhz2VQos9eDeMPQ1Piz2W64g92HSLPbnmhD150Yo9NgiSPdWXkj1RaJQ9unmcPU3klT07mJc9igiVPWfgiT2wcIo9bAuNPR6MiT12ro89LBqYPTMynD18pJs9oqWTPRMIkD3zY5M9MBygPd9jpj37XqY9mweePS8vpT1zJKE9Hd+bPXj/mj1RA5g9s8yVPSrmmD09RJ09SHetPXprrD36Dag9ZUukPZWxmT1puZY9NoKdPSJpnD0kBZw9U4igPQNFoj0UDKA9Vw6bPWIPnj2Ro6M9E92qPTbWpD0D9qE9doqgPdEDoD0Ty549GRifPY57oT2oGKw9asqmPbhAtj14h7U9q6q1PX6UtD3ZM7I9h3ymPS28mj0uXpw9VzmlPUk8pD0FjKY9vpy2Pce0uT3oEb89jRS3PVVGrj3dFLI9hi2xPep8tT0IarQ9ivG4PaVTyD2cE7s9JkuxPTueuz09YKw998ydPWPbmj11tKM9QYO/PZJ/wz3i2789PKizPW8JrD3kyJ09ahSWPV5Wij0pYYI9O2yCPeUCej1cJI49AReMPbu8iz0KO409xzaPPTKRnz3CjJY94hGPPdrqiD312oY93317PUFtgT00T4U9SM+LPVC/kz2ATZc95tWdPUndnz0ilJw9aTKNPRJ4kz0PuJs9fnmFPRTvZT2dhHU9uhiAPWduiT0zrY49NxWfPS63mD0TQJc9mcagPWgXoj1/xaA93T+ZPZ6Gjz3sxo49CLeOPXUnkT12EJM9OjyTPW3yhz0opog9B/iSPcbRiD2KE4Q9ZbSRPYtmmD2ByZE9342IPeXCjz04H5M9sf+cPQv6kj2xxoc9GY98PcXKdD2cD3s9EXt/PbkFjT0oR4s9cj1+PbdtdD30j2o9d7drPej3fT05vIc9UrSNPbUcjT0Jeos9v1WJPa3LgT3NPog9kheUPRwhmD00Z409vGaJPWvZdz3862U9gF9WPUKEVT3ga2s9DVt5PbqBjD2KNIc902GSPRJtmz3qf5Q90BmJPWsTXz0LG1s93o9WPUtMVD1gXkc9wYBHPeFVTT2Nb1E9Xr9PPWJ4Qj2q1z09yE5CPUXzUz0Fw0U9R30+PaICTD0HdVw9KhhZPfRGWT3sNGI98xhpPTtPaj24clI92eRMPRdSPz09mkE9/WQyPd0lJT22CjI9O9E+Pc4dOj2+ZDc9LZNKPVfhdT0Ls3A9Ob9fPUlKXz1+yHU9El1vPbVSgD1Qs3g9B4ddPcURTj0IXEU9xt48PXFvSz39LVE9VPtQPVAyQD2xYxU9JrPOPHAf1zyHIOQ8eLbXPK0cwjx1K8U80y67PNYcujyqz7c8j3KsPEIgpTxPX7Q8DI6yPDjvrTx+V7k8fn62PM+RqTxwWKU8JefAPNf81jzrp948rujZPCljzDynT8M82E27PLfNBT3RmyQ9X2YuPbXaZz3Y19U9Yq1vPmNhVT5fCzc+mxIvPh5XJD6WdCY+M4woPryGJT5YLSo+W7IrPoEqJT51YyY+tM8wPgBlLj6tBTA+jAkwPkzNLj7eCSI+PMU0PsLBOT5JdSA+x4IdPlKZIz64RzA+CzYuPpxcNz4tnzc+7Vo1PkLNND6DVjM+irssPjArGj6IXg0+upwePllSJT5eHSk+I0gyPqW0SD47VVY+GJg+Ph6DNz56sio+ESMlPjuuFT7S8SU+XUItPjBrKz7jQhs+rCcbPnHPJD774zQ+0RouPslrJj6NSuE9jgqoPemnFT6ZYDU+YQklPkAfIz7zQi0+7M5CPkXMNz6/sCw+JLQnPrV9Jz5ahSg+aJslPrA1Lj4LwDw+jnA4PqDgOT7nLEQ+bKVJPqG+aT6qLH4+Z75CPoGtPT4jkkY+6ghYPv19Pz5MxRc+RwAaPiswID5/wi8+MHE/PnmqOD7aFTk+HnU0PtFQKT6uzSg+JOIwPt4MLj40qTY+axMvPrxSNj5ZPDY+QBs7Pg0gPT7NIEw+qtBJPnZJSD7W3T8+WwwuPowdIz6z8i4+PZYtPvzxKz6s5hw+9pkNPgaPEz6XITE+56gePplWLD755Tk+GdlMPv2ZNj7jBzE+pDJNPgPGQz5TsDo+idZRPmstYT6aEEU+0soyPkriMD6vpUA+aV5CPhTcND6+UD0+DIg9PitZNj40eUg+IptfPtsEOD4ZzD0+IM5DPhapQz6oxT0+vdAxPj5YPD76aGA+fEg7PuuqKz60Liw+Xc0qPupTHD489Bw+6YkjPmQvHz69VRw+21EgPt5qNz52kEc+/TZIPp8GUz4c30I+dKQ6PiYRJT5HoCM+/mEgPhJPLD4SRzo+pbpEPrfeXD4JTUI+nAQ8PnmKNz7rvDA+l2owPn9PTj5YAXM+T8o+PrO4Mj6nrTU+bsFCPoNbNz5o+CU+5DYrPkKIHD4lXhM+zQoTPjf+Gj5abCM+F+cUPr6qHT7u0SY+hDE4PgL3Kz6zXxg+fbYVPmFCFT5kqBQ+ATkXPjZmIj60qhk+770YPgrBJz6KHyw+3X4qPoqqIT5RLSo+zWwzPnCTMj62hzM+lrBPPqFcVz6R5UQ+HpU5PmhiNT58FDU+0wcwPhsMLz4UgTw+Wig/PqQ3Sj6XUkc+F9ZcPujcWz702EU+lEZGPv6ROD7iKSg+FusmPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/4fUE9rwRFPcRQSj3iDUk9iDBaPa19YD3+zGw92ulPPXJZUj03B1Y9HKVTPY5PUz1x7lA9RGxXPTtVZj1nVmI96/FTPe/UUD2j/ko9lkZKPe/pOT2nwTI9QV03PbYLKT0iPyg9CbQ7PZwMUz1sjWM9i9tXPV1OZj3Px2M95pVkPV6daD0YmXU9UeV2PecmfT3GE3w9d5iCPWPEhD1FKYM96n2HPb5Whz3/MIw9VqyHPRSHhT33ZpE94mGLPQN3bz13Z2w9y1OGPQSrnj0kU6k92s2nPf0/nD2DvZk9DiuZPa0hnj2+rpg9z0ycPejkoT2YPp49x/KSPZ/3hD0mYn89IdSbPWpVrD3Fu6A9gU+OPWbWgz3nfo49EkaaPZQ8jj0mA4k91UqBPUAUbz1kn3U9kcNyPfaNcT3hhIA9rAGMPdi2fz2YBm09XGhpPeVUdD2lc289RiSFPcBQnz3ktI89vWyDPfWzfT33gHg9ilx3PaWseT1eA2A9lRdUPTwsYz2j1G09/u52PeI+gD3/2349Mb6APZMGgD1EmX09piaBPS5zej1gW4A9IgmNPXtNlD2PWZY9ftKXPYn8oD3ilp09gGSSPV3flD3QFJE9qaSOPVLfgT3cj4E9ssGDPYfYgD3noXw98+R4PWppcz0y1Gw9Cbp3PaPHez3fkXc9loB+PeK8az2nRm49vmRvPcOwez1xpno94MGDPbydmj0Jt5c9KEOLPXjlgz1AgIM9MuiKPTnmfj3j83U9eSFlPcAcYD21PGE9fAxgPR1nXz1y2WY9XJl5PSGtfj2/5Xw9ZkRtPavQcj2A9XA9X9FlPfh9aj2Xsm09u7ZbPbGzWD22rFc9f1JlPQaWaz2uzmo9J+l1PUyohj1csYM9l/mDPfmSez1J8nM96y1sPSewaz1RbWk9NslgPR5tYT3pkGs9Fe16PXFIfz3Q9H495YWFPQ24hT0wA4k9226PPaG3hT0AkoM9qEeLPSI7iD3jAog9M9WJPQzglj0XYZo94qaZPbiknD3zPpo9P5OZPQzjkT16ZYk9KTePPaR6jz22+4g92oOKPdYojD2kc449WFebPb5Gnz326pk9i82XPWy0lT0eYpw9j6KaPVnhmD0M7oo9t12KPaxOjD15DJM9tgygPY0Mnj2LGKI9eUSiPZKxoz0886Q96cKlPb41qz1KvKg9E9mkPY7gnT2vkZo9ueOaPd9LsT2+Vqw93+WpPfhVpT1LDZ49kc6aPeUeoj1sB6A9HJiePUFknD2gZ6g9RHOgPRj6mD3lw6M97vWpPXOLrD2qs6494J61PRwPqT1rvKc9bZCqPfwgsj2lyrE9XJilPahsoz03JqY9XMetPYAasj1Qiqo9PVShPUdGnz1+rqI9+hWmPTLioj0/2aU9QEWtPeWmuj0Uk7g9y4+3PSS1vT2s2K89Fo6sPVm4qz17N6s9u1yqPUN9vj1nP9E9n7POPVg8uT0jmKs9YASrPYqmsz2zm7U9Soi5PR+tvT1baak9sdagPS3opz1FUpo9kECJPQEPiz0C6Yo9PBKLPYzQiD12DIM9cfmIPXpYgT1zX4M9gs+GPevOkj38s549hfKYPbkOij21X4A9e9p3PSk5cz09eIY95EiPPU9ykj0NAo49SDKNPfvdiz3GJYY9nTGKPVtwjD1OBYw9k4mLPc6fgT3W5HA99mR9PVf2fz3v5YU97+yOPSwWlz1VlZw9NPeiPT8roz3VkI89fcuNPQe9jj1rcpE99LmbPdC5lz3aKI097pSGPaoNhT2jTok9QdWOPVuwjD1Cc4o9JxSNPZiolD177Z89fPSWPTSmjz1NkZw9726bPcn5mD0ViI09hKSFPcdchT0q2YI9/vd0PcqYcj0hB3E94HlwPTKlZz0ndWA9Qyt/Pewigj1L34o9oXiQPSQYkT0WWY49hSOMPVzjij3pOY49jRyfPUhLpT2h1pw9dC+GPY8RgT05PF890QtXPe0tRz2KmVM9wCVwPd4lez2nd409jFGMPRGDgz2K9IY9bLaIPf87gz17N2c9IqhfPUqjWz0rnVQ9iexsPReQcT3Fx209NRtUPVgZPz04wDY9kG5FPYJpUj0W1FA9vA9ZPQEiZz2JwmQ96p9ePRg4aD0ojnQ9BQlxPY9vbD16Bmc9HhNVPT5LVD3WJE49ncE+PVV8Jz32+iQ97Z8tPfttMz3o4Tg9xwZBPfM6ST3fylY9ZGVZPX+wTj2Lk0Y9p2I3Pbg+Lj0OJDU92cwoPdJmIz07Ex09eUYZPcSoDz2TiAY9pR8TPa/+FD2+XAE9rLzBPGYIsTwPw8g8snLDPNZ0tjzTDs48MhbEPLdbqjyxXa48XZu5PK6jtjwxybY8Pq23PL9mtjwMb6s8DxKrPOIfrjwf/a48XUOxPC3uzDzgcOY8AiTkPGnc4TzSgNI86pC+PKbSsTwLs7k8W70FPZd/aD1WT4s9oniRPUpuDz56yDM+KMMrPu3iIz6MbiI+W18oPjGOJz76iCU+31oqPnGXMj6ZnDU+wMoxPquPJz6GBzI+IeMyPvBdOT7HtTs+7T4oPhIUKD7YmjI+dOUsPrGvKj62YSo+nJsvPg7gKD7dwhw+zcMnPuunLz4JITA+xDw3PsqOOj7pRSA+7qYLPglkHj4YGSY+PNc7PmPgPj4IQ0I+5K1OPi2VNj5gaTA+m1U1Pr35MD43azE+dZcwPuEcJD5a9CE+tFMjPtrkKT7j2TQ+tF82Pmd/Lz6LFCg+d+vSPfvjmz2O/hA+KUAjPtZ/NT7R0zQ+OFYuPsrGLD7wJTM+yjYoPl+dID7mCR8+b1YkPhlSMD6PxzI+jkQ5PhVsOz6pECo+lVMzPgQXVj6LX4Y++phfPuqwMT40kkI+5bxWPlfnZD4RvDE+bD8iPqQyJz60pyU+6eEpPp3LQD7IP0o++pRFPlLaMj5gcxg+fMUhPvGFND5+GjU+gMUhPuY+ND5YaT4+jSJIPqCnXD5FPUo+rx5IPpYwWT4cfFU+k2ZPPvC1RT4GVz8+D7QqPtFJDj4RTw8+gJoZPioDIT7Hhy4+MYtNPulSJz4xKSc+x3UjPvc4Jj6qjTk+rxVNPuvjPD63kCo+NNssPsbJPD5j6k0+8aJJPr6FMT5r1is+5W40PjBgND5s4iM+xiYtPh+fKj6NkSw+DzpIPtSJZD6NzDI+KM0tPpZZQj7bfkg+I0dMPmMSLD4sGTg+DftHPhPdJj5jRyM+JaEgPgalHD6DIR8+aecmPvZgKz4baCo+CKopPuQBMT7LjDM+bGNcPoQeUT45ijo+cKw/PhdnRz4cbDc+fXIzPl6yKj6kYTE+l5Q5PgmLNT7MYzc+2eUfPuCoWj7QXkw+t645PvTaRj7jbRk+OUMePt9lIj4mBh0+nNgbPtYSIT45TCk+fHcbPoE7Gz7fjx0+cjwbPjAOGj7jiS0+DpE4PrkoKT6Nyyk++x4oPpfQOT47miM+DcAWPm3bHj58ixs+EbEaPqWSNT7fhCQ+IAwZPtf3FT4QDR8+A3MdPv0FID6qDSI+VVwhPuIGHz6Otyc+HFIyPpYCOD7ET0s+vS5aPipaQj5FHkM+cVYrPlLIKz4vgVw+iKWIPqSNgD4fwGk+LtJNPnI7ST4g/zg+OyUxPp0xKj4E/hE+t8kYPi8QGT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Ng5APe76Pj0B4UI9ZyBHPYXhTD0yeVA9W5BQPcVdTz3FolI9FotePYyDZj2VPYA9iW2BPRpegj2CvoI9h0l/PXl4cz27vGM9Bm1ZPcQXRD0VPUA9QpozPcN8ID33Ixk9lzQZPb9EKD0/+0A9RStCPdqrRT34JjY9Er43PdnpOz2w8UY9yQpgPTEqfD3EqYw9tL+RPeu+oj0ZzKA9P5SZPUF0jz217I49pbuRPf5nlz3Y+449V/mHPctfhD2SyYM9SHyGPTvQkj1Dy5Y9RnGbPfNeoT0RFJk9An2cPSlimz0ZT5A9numSPbUEmj3UVp09MuOdPVm0lz06KYs9NkmMPawQkT0nyI89g/+GPfOydz1FrX09vLSMPdvMlj1QOZI971iRPWemmD2gXIQ92ad4PVKWbD2N+HY9LWx8PdzSfT0fk3A92A9zPe6CfD0iK4c9j4uKPc5tlj3kRaI9fUCDPQWzbD0b33A9FQZ5PXN6dT3fDGY9C9lkPVOiaT2Xam09B8psPWjnaT1xb3k9Hid8PUZGhD00e4g9bNWJPfpHhj2WiYc9foiOPeLVkz1AoKA9Z82sPUdaqT0eb5U9TM+NPXQfjD2QLJA9UBKPPZzpjT37cJk9Pa6YPScZjD0Vp3Q9F/NlPUyRZT14i1k9ytBoPTn+fz3HlIs9wZiOPXfmhj0aaYg9Dcd4PedYeT0/6YA9FSN9PQYcgT3fCJM9chKaPVX1jD0x6YI9qpaDPcUUhz26OIU9kF58PcIWdT0VXoE9pIGDPdohfD2tmHo9Ou6BPd7vaj0MumE9q25kPf8+Zz3Om309waJrPfy8WD1LqE496/44PQJXNz3Go049zwJXPRGIVz3qVVo9BINwPfAocT3owHQ97yJtPfknZT2NiWU90MZmPX7YZj1mvWk90yt4PQkXgj1cM4Q9kmiBPXZbfz20f3M9Whl3PZ1GgT35g4k9hvCNPbG5jT3GSZA9dDKbPZqSkz2daYM9bu+HPWo5jD3IIZc9V06PPa7KkT1co5U9TfKSPRdLkj34kI89MlWGPZtohD0v1Ic9rgCEPZEMhT0p64o9/biSPa+1mD25q5w9V+acPe+omT1/W5g9JkSfPbVtjj2HEos9vH+BPdQzgT0uzIw9+6apPVamsj3Qb6c9O5mhPd1NpT1klag9dA6qPea8qj3Kuas9rdepPfZwoz2vZKQ9lemmPWMFpz1PYao9EWmgPT4moD2PD549RkigPXbynT3M8p09dEykPY3Woz1El6c9XECyPVECqj1JWqA9k9CgPbOApz0Qt6E9FLeePetbqj2XH6k9mZmoPfpSpz1vGKs98MSvPULSpT1oNq89kFqvPR6orz0bLrM9w+qqPeMgnD16fqI9wDipPbIMsD2OGrI9xP65PSCbrj2k17Q9sme+PQmHtz2Xm7I9lY+mPYd+oz08B609DmevPdjJrD24ErY91d67PY9/tz3virU9qfKuPcHOrD2p8bo9aIWzPQNUpz2PG6A9AVSYPSLglT2Gd5s94WOZPbcviT25eYU9VgiEPUa/fj2zMX09F0FtPYLkfz1qHo09nxCcPYR/oz0ELaU9NwuSPRnnjz0GeIU9if2CPWuDhD1fm4M9w1CEPdJSkz1G3ow9NAmKPRHikD3vsJI9GnOQPUKvjD0iuog9ujCFPcjldz20i3Q9uOyAPUbWgT3pYXs9XVKMPQt9jT3KpYw9J/iTPZNskT00fJM97rCKPTcVhD0vm4M9mh6EPUR2hT3j5oY9eJCSPegloz1lsaQ9I6CfPQYsmD1dYoY9rbaBPQGVhT2LkYY9keGIPeX+iD1Q/oc9dMSNPQvxlj3F8pQ9DoqVPYXFlz3xO5U9tWuHPYRlgj1g4II9hNaBPXk2eD0GbXk9nABzPcBYgj0WLYQ9Fv+MPbSPkD02qIM9WqCGPV0bjz3vz5M9xC+WPe9unj0wUaQ9wHWOPcUhZz0NBFg9SPZTPWowaz0fAHo9zgKCPZx8gz1qCIY9F8SGPXKxez2OWX49/aSCPRyvhj3xNH09PypwPR4eUz1+M0k94URTPdReWT3PT1Y9m+JTPVcYRD0HpTM9nhc9PQCuPz2eNEY9BrZPPVkKYT3Lx109Q31ZPdxoXj2uClA9DVRXPYnAaT2iUl49EfNzPSjHcz30zmE9EyhWPWSRPT2YKCo9LZkwPWxHIT0VFxo9tp0mPXVnOT09AkU9BPQ9PT9wMT2eEig9uYgnPaDrMT3g6j89k7EsPY5zED3F5wM9LD3rPBHx0Dx0Fcs8Z7LHPKXF0Dzpjco8WRHDPFXvvzxsjLw8rJPEPLuCuzw/DbU82rDCPBU3yDzUMrU8wHmzPFF+tDzcrsc8qYbTPCF41DzRscY8BVG4PMVDvzyrBMA8RRDAPL2HujzpyOA8kQv0PEN86Dz54+E8tHHdPO0jyDyaP8A832mtPDI3xzxPvyM9DA4/PWPIPT18VpM9FI0QPvi8Rj47gzI+cscpPjk5MD77RTg+uCEwPlRrLz5pdjs+3Qo/PlRfOz4HnzY+ArY2PjYzMD61MTE+si4yPtaXIT7q9Cc+TBMlPjc5KT7aqSo+z24pPtGJJT6STiM+CFQjPoTjJD7iNCU+0DcoPpo4LT6iPzA+YkwoPsm9Hz5YXiM+QRstPkkfRT4GXkc+Wkk1PtRjTj50a3Q+MD57PlSRZj5gwzE+QaMmPl6LID5U4R0+QwUoPvRzKj5QbzA+G4ExPuJSKD6vPBk+Hh/RPe5ouD2V6/M9qCwlPi6+Jj6SzD0+Fak9PkBeNz5JyCs+4Qo0Pn7mKj56NjM+b6YxPjmELz4H9So+m6UsPi1SNT5iwzE+bkIuPsFyOz76dHc+IMB6Pu7lOD4pVzw+RIt/PnbCdz7Ah0g+zfkyPirtND7LAyw+f0ovPkHfMz4vkj8+KJs3PhaNMD6KHCU+92clPk4GLT5AcDI+9f4yPoweID40yh4+IJBCPuaTSz4kqF0+Hy1IPgpfOz6/4UE+QFFCPoHhQT5buUk+CFo/PlO+Nj7uKDc+pnI2PmWiNT6MmDg+Vj0rPnCwYD58BV4+seooPiVVMj6UFDY+LrNBPpfGQz7fV04+8bhKPm+BTT7cO1Y+gZlGPpuJUD5BUz0+gZghPngeKD4r/zc+geEiPsZ6Nz5HNjU+zMw0PmQbNj6N0zY+geQpPoLMWz7/YF4+tPsvPl0jHz6n8B4+JncwPuReTj4QMSg+hhk0PsSiOT4RNzk+iJw5PqU0Kj5Exik++LQpPmIsKT7JeDI+tmU1PhkyLz5upys+rZMcPjitFD7YViU+fgQtPqLhLz6G+ik+ZsI4PtX1PT72hDU+7xgiPrPiIz68CEg+MYI4Pr53Lz5Xuz0+b2D/PRkCCz4VVSc+yfIxPge3NT6HSDE+hx0dPiv0ET5GASA+QzIbPvk5Fz4ZRRs+L+ItPmseHT60bxA+wosXPoaYMz4VfTs+U74uPv/iJT4sXxk+5PQaPjtQHj5RFSA+EnAqPhxEKD7TvyE+roYhPpdrFz7KRRg+bY0iPrifHz55+x4+dVckPhwZMT4adjM+VAJCPjAeTj58QD4+KZAxPq4COD4o2D8+K7xXPnW9Qz6dZUw+f5ZdPqQnRD7wIkE+CDJLPpx0PD79Sxo+eyEVPgVgGD4ibxg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7JMVT18IEw9Dhw/PZg7RT1a6Tw9Q/9JPfibTT2i3lo9oattPejzfj37DoQ9aOKhPW9vnT2Gi4o9ubZzPdzXeD15ZXw9qrB+Pc7Vej3Gkl49zTs/PXIvND2mPDc9QqlEPU2ZPT0+xSs9vTQbPXdMGT0XriY9IVkhPVTDKT2u/jo9kuZfPaW3dT1MWIs9FRmcPUGdqj1Jt7M9HMi7PQMJtj0muKU9l0iaPZahkD2zI5I94tKRPXtqgj0f53I9YMWBPfzqhz0AdZs9v9KgPSb0lj1Zvpw9sy+jPfI1sD2Kr7A9LKeaPSXJlT01NaQ9jDS8Pf4jrj3CqKk9GaGgPfnMkT2aQYk99sGAPZK+gT3J5nk9Go17PUBVjz3TbJM9z1eMPU4vhj3AOYU9EihwPb2NXD2JYWE9cnViPZ3wcT1hWnM9QTt8PYJeiD1iLo49xmaMPWc4gz3qP4A9iVRkPfdAWj2oRW49iBh3PQufdT1hx4E9CHeEPaIdhj0o/H89VZdkPdfKYD2wf2M97x52Pc3ehD37+JA9KhqfPbhXnz1HC5Y9vkuEPfpBgD2q+I894vGcPW0Zoj1OD6I9zHOXPbJYij3tUYo98L+NPQbAkj01bpM9wPmaPcUqlz1+2Y49QKBnPW3kWz1nhmc9uJZsPYnkYz0QjIA9T6CHPe+agT1F0349uUWDPamEdz0n4nM9WEeCPd3Xhz3yjog9hV6GPZ/rgD3oQnA9+1+APQNShj3rgIY9kCyMPZsShz1E5YY9u2yIPTcOjD1lEYw9NLmAPfvHcj2cv2c9ZENhPa/BbD0hx289CnBrPYhBZT2hAVw9KMFUPZWSUj2+RFY9Ii5zPQsqYz34tFY9wT5wPapibz3U5HA97WRyPf0Haj0/OmI95oZ3PUEIhT2sRYU96IWGPRLRhj38jIU9TX9/PVWqgD3MrYI9s0eCPYp7gT0XvoY9zeGMPdW3iT0u3Iw9cZiMPd/5ij2HcIE9F2R/Pafogz1/R489LDSYPRgEnD3hn509CvmWPU1Rhj3Pw4I9jtiFPWBKhj3vP4c9y9yGPYrnhT0VtoU9I4SKPX4tlT3nNZE9IxiRPWDqmT1yRpM9BRiQPaq3lD0UHJc9WmuUPQqbjz0G95Y9TcWcPVFcpj2bRJs9mUyZPTpwnj3ONaQ9pXGoPYGUqT1Hypw91QqRPTnPmz3nVqI9XuGjPQoNqT2htaU9rL+kPbvqmj1mz5M9EDCXPVTzpT24naY9uBiiPeuhpz13r6U9I7WjPeuioj0e3Zs9tjSaPRE5mT3E1ZI9ffSOPSremj1TRqU9iTmgPQJkpD2r8K09RZCoPXA/oT27VZ49U5SvPbTTtD0hdKs9FFiqPXIVoj3SDJ897r2sPVcgtz0GR7Q9Y8a0PfyYvT0Y4K09QCKjPc2YqT3i/Kg9LPyjPV07lj3X3p899qCoPZltqj2+Zp09nU6WPQ8Dmj3zWqE9hierPcEqwD13Vcs9kRfLPXI6vj0Zl649IxukPe0/nT3OHZQ9By6SPSFsjT2qkIc9nN6NPWI3mD0WgZU9CCOTPXgUiz0qg4090uaPPR1XkT2/MJA9OOqPPUvmij3//ZE9TPSGPS+Lhj3PuI49iuyPPaNmkD1THYw9H8+MPQU5iD26x4I9AJ6BPfcbgT0m5Gs9teVzPZ+Hhz010Ic97e2GPZI7gz3SzIg9OWCMPY3TkT05nIs9hTuIPWANjj3xXYo9YgSJPWPZhj3+joQ9fdWEPcUmjz0sNZI9jCGRPbW/mD1FVp89yzifPRwdoD3HYJM9Rh6DPXWzhD1L84U9WEaOPXZFkj00H5Y9ZW+QPb27nj3u3Kk99pOnPRW3pj2AlaM9OO6bPdBLjj3OC3U9cPBtPS1kaz0yPWU94wVxPb1Bgz3W0449TFWfPaIGnD1niJs95M6ZPcCrjD10bIg9qleTPa0vmT15/Jw9nDaVPcYLhD0m72Q9pqJbPS0YYT2c/oA92uuJPe+JhD1PwGM9x6pjPW9eWj18DVM9NlBhPQECaD2uDmo9oUhMPaqXRD0xsj89W19LPTN1Qz17WD49GL5LPaNUTT3640A93xQ0PWJESD0VwUI9q1FRPdUjXz3PTWY9Dx5VPXuxST3+6Fg9vvxuPXKIdj1wz3Y9wh98PeE6kT2otYQ9AylcPdrISj2CSzc9KNEzPZGYNz3ygy09x3EwPWIfNT1Ejzs9DX9HPWElNj0+hSk97VgcPTMlFz1FTh49o1ErPb2pMT0sTPY8Ka+3PIvdtDynxbY8Ll2xPI5DxTwN6MQ8EuS4PFndszwFmcI8+FnKPLNYwzwU7LI8BLiyPAAKtzykTbg8fnHCPEtyxzxMLLo88XLAPKhGwTygMsA86JzUPOqqwDy2tLY84NjFPCC/zDxUfsQ8OOLSPHJK1Tzh58o8pgzXPCdl3TwVq+I8Gz3NPMSXxjxC27c8LdnWPHyL8jxZffw8ZFE2PXsDAz7HNWg+4tFCPkOZLj4/yjI+3e0sPsiJIz4H1j4+c3pkPgzyZD493j4+mWU7PgvZMj4a0Sk+bEgoPgzvLj7IPSs+4boiPmzFJj42GTQ+8LQ3Prv+MD7Z6Co+COEePlbyIj5wdiE+V+ogPoNbIz4pkCQ+aE8lPrULJz7qcSQ+KNw0PlURTj5ji04+R2c9PsQgLD7SWGY+xF6QPvaRhj46NXg+j8YtPgxtGj6m4B0+ENQvPl8CPD6z+Dk++PMyPsh3JD7GHx4+u84wPrWlJT4O3CQ+CHspPjilNj6kATo+tZ88PrmKMz5H/i4+600bPnJJGz6/3C0+qsNOPhgBQj68Ozo+PFYrPnA3KT4kRy4+F7IqPqrWNT5Jkjk+rCRRPuWVVD453Dw+zENGPqkTZz7Nl2Q+nkBNPn3SNz5GDTI+NpouPj2xMT56ezc+qcY6PpoCKT7R2CQ+OkgsPiOULj7foS0+YuorPpVSKD6DJCY+h9cmPixiUD6DjVo+WidUPh4ZRT5OaDg+jSlBPs6QQT6pZ0A+O3Q8Pq2hRj5Ro08++XtBPoK0Qz6g/z0+DskzPsbuJD4W2Zc+QFmzPmPEQj7X40A+kDlFPl1vUD4uO1A+s1woPk6iIz6C1iM+IGQsPsT3KT7j7k4+F903PkjWGT4B3Ro+JV4dPtxcGj4BEjk+UK1MPnxXVj6Bx1k+OhlUPuoUKz4oMzs+/nZYPqo5TD7DhTc+c4kmPryMJj6Ugkg+Mfw7PmnjSD4Ouk0+2jNQPhH6Qj7e2DA+bik8PuWiRj5uck0+1WlQPpZYRj78Ais+CQ8dPhuBDz6BEAo+CA8aPp+AKz4CcU0+rKA/PlOcUT4xtkQ+k8otPvzPEz5IQFM+TzhVPsXjHz6aqx4+8zcgPjoPGj6gtyM+xeRMPmMbOj4J/SA+bSIdPuRRCz6HhAc+bHwZPg47KT4uAS8+3kIwPh99ND7GiiY+Pe4WPs6DDj46tRo+b7YcPslTGj4DHyA+U0soPjXQMT7YGlM+6uc9PgRGUD4WtjI+F2EgPsgvFj72Rw8++9UQPjs1HT7sySM+5QUhPr9FJz77Ej8+dJZFPg2yYD7P7F8+eWhIPlhYQj6k8lE+RwJQPswkPT4HxTM+JsQ+Pse+Qj7GXkY+hohIPu8tUj6xIUE+7qQfPht5KT5K/B0+rWocPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8/NJD0bSiU98dgsPSf8Pz3PuEo9lPRcPYVyZz0phGg9iWxsPYKlfD3C8II9g8hyPbzpbj3DfVw9ZvNiPSo9cz1eg3g9pftxPRojYD1agWY9ubhYPUKmQD1M4EE94nw2PXsvHT3lIQ89ZCgMPc9iBj1RoAc9ypYfPb4rPT1mGk89tfBdPawagT3uJIU9SXeIPeKvlj2Lr6o9xqu5PbZQ0D1arMQ9OHSTPSnehz0sf4c9ZnuNPeaFmT1RsJM9/n+LPfeeiT3OCoQ9DeeLPVyymz0HtZo9qtShPSzcnD1B9ZI9QnuSPWwnnD0BApw9zNatPR2urj2uL6g9gcqlPZ5qlD3IGZg9UbGZPQlKgT2jynw9bMSEPaK3gT1+/Hs9gMSGPU2jiT0QF389mE9tPT1OZD3MQmc9fhFwPRGagD2coI89aTuXPSYeiz3mloY9k3eIPSYxeD0KYm89yFZrPWaUXD0jw2Q9GJaHPUqwlT1wlI89hq6IPe0bgD3fzV49l/RaPSs7Zz0I0oA92VV/PdDFgj2lpoY97wCOPQtBjT3ZWXc9bSxtPV6bdz0BsoQ9jreRPWMamD1WeZY9XueSPZ/ukD2FO4A9goGEPbJMmT1CaJs9YkCYPWx1lD3Ps5M9GTaCPZ0/Yz2irmw9TxJwPTQXbD0GT3I98dNrPUxRcD0oIXI9PzFzPTt9ij2DO4k93iuCPXZHfz2k8ms9tCVnPRhJXz26pWc9+LZxPbeEiD3LC5I9C7iJPcpTgz3/Unw9bVqGPUQmgz10XXA9IAdrPcuvYj1PuGQ9z9djPWmDZT1LF2U91yZoPfulbz0aon89QXmFPSQ9fz05ynE9BrplPTR1Yz2stGc9m5tsPdrfUT38dTs9+J5NPXDFTj3Fbl09V4KDPTlMij3GcYg9ry+EPUJrgj1L+YA9stSCPZ0ugz3xbIA9J/J9Pbxvez2RU4I92aiKPbQajT3M14E9/jiKPWoJhz0BoYM9dq+HPVBYkj00tI89JT+FPWqmiT3mdo89De2PPcDLmD0CLJs90TeYPcrdmD1jS589iRyZPXIckj1uxZI9gzCGPX32iz06dZM9zbSJPQ5ulj2K8pE9ALKWPbUfmD21w5U908OaPbJupD0UgJ09k/WdPY3ElT15b449qNSTPcnAqD1WZZ49GQiTPT4tlj0plqE9bFemPbdKpj0MW6A94rqoPVAFqT0L7Kk960OjPcL3oj3IDqw9g9GlPTs6pD0Fwac9BtGmPWgpoz1fE6A9Nv2bPVLglT16IZk9zj+cPZVElD1ZT5A9xyONPRmHjj0e3ZQ95/ybPXndnT1iQaI9d5WiPZnrmT0CH5g9WiCiPRf1qT309LA9F5usPRPtpj31IqY9bg+0PSRntj1O5p09OqeWPXtDlz0CW6Q9nFeqPSahqD1yF609rrO0Pb6Htz0Qg6Y969ycPRW3qD0MU6Y9zRijPZJ/oD0+UJ49MpavPYGftD0lBLs9prXCPVVyxT0Wd9A9kji/PfntoD2zbZk9c3iMPbgWhj3s74Q9EwKDPb7ijT2+5I49TjOOPXxOkD37sZY9D6ukPflkmj2orY49tLeQPQFMjj2kXIo980+OPbYJnD1noJU9LMyNPb7xjz21wZI9N2CJPXOSdT3W9Xo9Rxt6PTtLgz0FX4M90FWMPSGMhD1wN3k9ppx/PSduhD16Ook9w8ecPTD4kz0rDow9KCqUPQawjD2MbIw9uTyOPZLZkT28vJA9ATyLPcodlD2e6pk9rfWlPdZEoT3cGZw90WmWPczBkT1tt5A9Ma6JPRMFiD3Swo49gg+TPeEfnD1p5Zw9bLGcPS5Xlj04qps9BI2UPTrYlD0U/pw9IsKzPSX4oT1qjoU9g/J5PUiTZz3RA2c931lrPSA1eD0x9II91HuZPcKfuD3xxLc90Kq2PfdCrD12Gos9m+2BPZB0fT2gG4I9FECEPWLqfj2pP2k9RAlvPX7LaT0GaGk9XHtuPb/AYT1fEHA9++VcPeZ3VT1caF49ur9kPTeGXj0jWVo9Bo1MPZ9SST1HwVA9iExSPUC8Tz3k60k9u0I+PTYdRD1wq0E9tec5PZIWQz3OPUg9l65dPa2chD2p3409eDaCPTapWD2cPFE99lNmPXb1Yz34WWk97/ttPRj8bD1kvWQ9pRtCPS2NID37+xo97SwnPVHJKz2i8hw9u0kiPSGKPj0v6lA90IA+PXBWJj2LyRg9WXwhPXOCHT0x5hc9yAkMPRW82zyy9dQ8N9yxPEDArjxk2bo83sKxPFLEszypAbU8LOSzPDVauDzf1LM8tZi0PJNhyDyI9Mw8SwHEPDOHtTw3naw8o/2sPIgW0DyXk9E8ewO8PGVDwjzjzMc8mSm+PJVIzTwqrsA87fGxPD6nxTxVvtI8GgTEPGZ9rTxlWrk8yjXGPGAs0TyFydI8O4bOPMG3yjz01b08Rdu6PCydvzwXCwk99FkWPU78Lj2jUKo9GClKPrQsSz7hMDU+7lQ0PmoxLD75LCk+itg5Pqe7Rj6NTy8+67wqPuFSLz63rS8+xJcoPkSGMD5z0jc+WPozPlncGj5OEiQ+7E8rPmQBLT4ZBSw+JOwoPpQ4HT59zCM+l9gjPqTGJD6uMBw+OV0cPv8yIz4ISCk+kQQvPgKbQD7aVjQ+mfwsPridGj6LbSI+PRpjPl4OnD79HE0+Dt88PjAFID5Gbig+sb4mPusLLz5wckg+pOZKPrcYRz4Bsio+wnUgPl5WJj4m8So+cpcuPvhuOz4HTTo+WTA8PsRKaz5Zjng+8LBMPhzuND6P2Sg+HwhmPh54cj6Q2i8+Tq01PiRuOD4nizM+3R41PsR1Oj7YrDg+2XsyPnKLQD7dzWs+0tWBPlCudD6iikU+7I5TPm8hTT70CkQ+k488Pn0VQT5pFUA+npM4PjCeND5zxDs+/OU5Pv8jJT73WCY+bSUfPs4rHT5X9yA+IpMiPmsVTD5PDFE+fH46PrufLz7QFiw+HzIzPkwpRz6lyUc+DMwzPqnfNz69cjI+3xwqPhi1Sj58KEI+dn0vPt5FLT4xqCY+0UphPgvNrT7Zr10+gyBRPis3UT7PO4Y+7ku5PmQGnj7zpUQ+Gj8gPh1pLz7fXTY+/qpoPsghNj6DNiY+/4oqPtN5Jj6ekx4+u34pPv+hUj6yvGI+0TNjPgwuTj4jJ2k+asRTPh4oPT7cLTU+H8w4PtZuNz4kfBw+M/AXPpQ9Iz4D2zU+/pRSPufHaj4RSUU+B6QyPpw0Mj6/tDI+h0w6PgICPz7VByY+kEAYPhoXGT7MABI+2oIcPv3QIT4BoiY+pKY7PmkYRT4Ylz4+36ohPsheGD5VMhY+b/E9PmszOj7igh0+hVQVPkcZFD6pPw0+vn0ZPj9EOT59GCg+YZQZPo+qGD5RrRU+dJQWPpWmIT4BiT8+rHU9PhSXOD4KZCg+lcgjPtZLIz5AHx8+Uy8rPvp1Kj64xxI+8N81PjSTaz5SWG8+gaFSPmRzRj6TWgw+pw4gPvs5Wz6SkCg+WNo4PiSsOz5TWzQ+ekQsPvTDIz6JYDY+37RjPuyZaj4awmc+b6U/PnwxIz5pNiw+A94+PutUNz7iQTM+Hiw2Pgi9PT4coUM+tJ1APk4HKj58MS0+WnM1PvGOMj7zXTk+iYYmPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8nAXM9JwFzPR8lbz3x1F09PpFKPXOVWz0/dmg9PtVnPYocbD29hGs9BK9RPTdoSz3KLHM9kSB9PdoyeT3vzWs9t2ZkPfk6VD1W/FQ9cyxBPSi6Oj3HjzQ9M48rPUG2Kz3Bnxo9d1kNPa4TCD3v4wU93D0IPbw+Kj04lj49D9ZGPXR4UD0j+G49UsGEPQD9iz178549qnDGPcQwzj0iYrI9JQWQPYK5dj2r4oA9Vpp+PenVfz1vqYU9woSGPZnflD2lgK89dBWuPTpJrD1xkKQ9zK6WPV3MhT12uIc9LKaPPbBZjz1HOZc96J2iPaSwoD3rYJk9oamXPdPclz3xvJY9NPWXPXr5hz3FIYk9hNGQPZ4TlT1/p5A90DJ8PR9sYT3t8mU96zxtPd/iaz1FXWk9nJh+PRbngz348m09eMVXPSmXTj0CDl49CpN4PcfgbT2sqX094yqDPQxygz1t3YI9JE9+PceYhz3Oiok9sgyHPZsMfj0c3mc9mudZPSvUWj3PEG89j7KBPdwPgT3QRXs9KtePPW8Zkj3oRoo9pYd+PQxxeT3kHHs9y76BPQtXkz1zwpQ9GgOJPcnXhj0/HYc93MGQPXhTmj0xca49pcq2PSuSlz0nnI89IryCPV+zdz1h6os9qtiMPbOWhj0LhIU9lQh/PYM5bD2kHn89guOLPUZSij3n+og91SmFPckHhD1j/nA9JKxTPX53Xj2hz2Q9jZGAPWFJlD3pS6w9XsapPQqdlD0IKY89NnB5PR2Raz1odGs9Krx8PSwGdD1zi3c9ZzuDPbW7gz1ESY09DPiJPSAWgD38XHw9HZh5PeOCfT39PWQ9fUpQPRd5YD1A5GU9jS5+PUZlhD0+9Fk9TxtRPQP/Wz1tMVs9ya9lPZISfj1BKXU9hgNXPZxPbj1BWII94KqYPb/UiD3grHc92IBiPbKoaD1RD3Q9NVuBPazPhj2E/pI9n6mMPYOKmz1NNp89toGaPRi2hD1hcYE9+76DPd1ljD3G9pQ9CyakPTdMnD3qyI89HpOQPUyljz20ro49womXPajOlj21m449/7iSPYLPjj1XUJI9BoOPPfqljD0L+JI9DYmXPXY3mT34MKA9i/2oPfKDrz3Dwao9fTOlPdWNoz2idKg9lpefPboioD2i9rA9PMWsPTWjoj2FZ5s9aRycPRx/nD0CkJ89d6mlPQtCsT1fXas9s5aqPZ30sj2BMqk9T9OjPSe/nT3Idpw913CjPVSMqz18D5Q9lZmdPVvDoT38/Jo9eo+dPR+goD2zGaQ93jesPcpfrz2fzKs9vEugPS4Znj1JOaM9bDKePYmDnD2UE6E9Wr6pPeZltD048rQ9E/SpPXTGoT00/Z89NzOoPeqTpz07m6Q9JpidPXurmD1Vj589Bl+sPULZtT1K2as97hCgPcldnz1lwaI9bpWePZn6lz3YaZ09UGOpPdrnqD0D6bU93QS8PfqQwD3UX7o9QybPPQRl2z2rMr09W4CyPS8Imj2q7Io9E3eEPSvugD1dZ4096zuRPTO0kj1toYs9wWeLPdc8mT1X6p49xu6dPXkpnj3Sz6098LuhPVKZlj02v5E9OAmTPZ+Hnj1NM5s9dBWRPboPiz0zBoQ9d6WCPbvvez3izXM9w6CCPS4LgD2NwYQ9S5OEPRPmdT12H3I9Ar6LPTqEmT3/jYY9IleEPeOUiz3306I9KlWhPSd8jz3RiIk9Fn2KPQKXjz2KU5Q9LJmUPU2NjT2Fy5Y90waYPb1xmD1R0Zs94o+YPcUShj1MR4w9DmGTPWiblj39U6I9bJKyPU6atD2fW6g9ofemPXQFqD2qPZs9T5CNPTqPiD2594g93eCLPeSijj0vz389k1xwPWPNej2YZX89BIiFPb9sjD0D15U9sNygPWNGnz14Q5c9RYWOPYx8kj1rSYs9yjmGPXi3hD23w3g9b2FvPXF9az3taXA9n0OBPSiIdT16VG49r49sPY4Ndj3jXHQ9wt5lPRE+Zz2Cd4I9OOmEPTZFfz0IR2w9nXhYPdVTZT2mIWU9nrBnPWVGXT2g8FQ9KBxaPeH4Sz3Nii099X8nPetnLj1WrTE9BvM9PdJWSj2UrUM91S1BPTYMSD219V09DnBtPVavdT1ABXE9dtdoPZ1MWj37TVQ9ScFePYJlPz1dRS49GvAqPeODND1MBjQ9A1EoPcUiLz3dvS09bZgmPT0QGz3eVxM9pC8cPd/7Dz3IIuM8L1/MPO98uTx5cKU8mrKhPFrLqDwF1as8UtGrPA8AqzxRvsQ8X3ikPNWppzzXPcQ8npjVPAqL2Dw/PcY8Cy/NPLAIvzzwabQ8W6q6PH5EvTxTdtc8KrfPPNaIujwyXt886FvYPG3Szjz6s848Sn7OPAlPxjxYxcI8qxnAPAozvjy/xa48p8a9PCP+yzymZsg8Aw/JPL5wyTzwf848knHOPPu2ujyLgKk8vcP2PCb9Cz2XvYc9F8cQPulTQD7HQzs+0lciPsHcID4YhzE+2OgtPo2KKz5r/zQ+o78xPmM+Lj50ICQ+dwMsPgpSKz4efC8+664iPtBIIT4EFSk+cRErPucFKj7BRSA+cF4dPkvIHT62WCI+e+ApPsm5JD4//B8++dkkPobKJz6wHzA+pvIsPr8APD4TYS4+maoiPiu2MD4uCi8+vP0oPnYiRT7Yxmk+3B06PnhsMj6qPCY+JkQtPorSIT73MTw+4XlXPjclRz7pSTw+qDsrPslLKj4fQSk+DG8yPuFxOz4gfDg+fQ0sPtGHST4FfoQ+XFOLPiOohz6r84U+2AqEPu4pQj4BBTE+YHk/Pn/+QT7qbz8+qptYPjh0XT7VDiQ+jxg6PtohUz4zw14+85psPnmvWD7Eu2U+ALhYPmGeXj7MjlM+Kk1PPlLEQz4o9io+mLUsPpo9MT7VAzA+xOs4PstmKD5+2yQ+N6sXPlxHGD7/CSA+tHYnPrnLST6JjWQ+FK1EPruGLz5iKSo+uQApPiUXQj4YeEU+vzw6PleCLj4EhDQ+ugwjPkpeGz6f/jo+Ab9DPvObMT4YdDM+qwkzPlpALz4vSGw+PRZuPn90ZT5LPXE+4hZ9PvXxaD5OUGk+pP43Plx1MT75GDE+87wwPuYDOj4mHDU+iqstPupuKj7mcSk+3UkqPjL6MT4yFi0+hCU0PimzRz57WVA+EviLPgeebj4aQik+XO4yPq0oYT4LknQ+M4s/PqtBPz71izY+xccwPkDQRz5+GVI+aRdRPltyWT6sc2w+bkowPqWzIj5rIyM+iEIpPhd3JT5yCyw+XBg8PggEOD7bRjQ+hygzPjjKTD5HEE0+G4M+PvdTJj5iZh8+018ZPuMCHz77si0+xtYUPvxkFD6k4xY+aREbPlQXKz4UiTk+uBwiPkspMT4ANTY+B4AmPu3wHT6zryU+VqsoPi4WHz41Nx0+UAMgPt4iKD5pKyc+dWAqPgdmMT7YnDA+SI8hPpA/Kj5B/DM+qwsZPnuBET4UPwg+GQUKPrHQSz7tsE0+xp4VPrZxFT6RaxI+MnMbPvo+JT42MCk+Rdw8Puk0Wz7DX18+TtxUPtEEPD5IxSs+kqoyPmDJSj67eTk+2743PgBkMT4IuDY+oHNJPofrVD4odEU+wrZMPvEGRz4v11c+o/WoPqwNxD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/OSt9PcvZeT374ms9b/9yPcdHfj0vSH89ukt6Pc+dgD3WaoE9ul52PXKHWT2bZl49ei92PXWScT1h5l09bipUPTKMTj1qDUU9MilIPVlUVj2Q3Wk9CfppPeSXTj07KSk9vyoLPfonAz0ixuw89JTxPEZ9ED2Yfjc9dZdXPUoHYz2na1g9A2laPYdpdD0R5oE98qqXPRgUnT1oqJA93dlzPZlSUT3VtF89fEpkPVP4gD3zYok9YUyLPcJLlD0DmKo9aoarPZQroD1K+5o9i0KRPcF+kT1i4pA9AHObPWVYnj1wVJo96+afPcEZoj10k4k9S22FPZ+Tgz2zNIc9KfmYPZZ9qD2Cto09Zq2EPYpfhz3PpXo9do9vPbFbZD0xbmo9Ps5yPdigbz1ZN3Q9jA14PQ7bhj1jnIw9Nc6DPfe0hz3Qm449SrSSPZsgij0rM2c9OFlsPeupbj2mZno9jzx+PQ3jeD1mK3Y9bbRxPbZzcT37UHE952VvPTfndD3HWIs9BD6OPar1iD0Ij4w9CP6OPSqxiz1HKXg9K6JnPbegaj1WQIM9Ly+HPfEXiD37HJU9232dPdggmD2W4o4956+QPYo7jD0Z2KM9m3WsPS3qmz30ToQ9ghCAPcsqfT1i/3w9fP2HPQ6nkT2NToI9W2F8Pf2hcD08TGg9wGF5Pe2piT07pXw9U+V7PYgicz0aXGM9A4RaPXfDXT077XI96PqGPUPPjj285Y89xdOHPYpqeT2RSmc9intpPRiVUj2VJFs9SOF8Pav8hD2pJoE95aWMPewBlj0hsJo94EObPc+1jT2JNYE9oCuAPb1Cez0ZF3U9f5tyPfGMYj3+AnI9iCKGPQQShz3kxX49CB5tPUKQcj35nn490dN1PbFycz2dHHU9Atd/PSUWhj29D5M9qr+ZPYFDkD1YoHk9WyRtPe/ieT2zr4E9vfKDPdt9gT2cIoE9jPKLPWSomT2Un5Y9daGCPZ1qhT3U54w9Z/iOPYOXlD1rco89T0KLPZW+jD2os4s9Bwl9PXHghT2F6YQ98CiGPSW5jz2S5J09PHWbPQxljD2nMZY9D5WgPUl7mz2vloo9aV+FPXGTiD3uKZc92NKjPa9vqT3+BKE9g5qiPRblmj3GkaQ9w86lPXcAnz06VJw9ebirPajUpD32ZqA9bk+dPYVnmT1aip89AVOiPbDgnj0PEJ49TdOVPeVvlj2FDZ09+zSiPXGMoj1R7p09Nz2ZPQ4emT3aq5c931mgPVlEnj2rupw902ShPZLVoz1Djag92qerPee4uj0Ix7c9Tt+uPSo/rz1kWKU9+LqkPYjgoz218po95+CcPaLjnj0imqk925S6PdFWrz2JF68979CyPUZRsj1ZC7Y9Zge0PfUWtD2OeLo9B1vDPVb2xD0/y6w9MXSZPfnFoT0lWas983emPfoVpT2JtJk9lnWuPUs4uj3E77g9jfezPRAJtD0bg7c9cvKuPRqNtz34tbo9DemvPbzKrz2gfKE95+eHPevHfj1TOX89/fKEPUTWhz0djpU94cyRPahElj2h+6I9njqyPSVjsz3ihas9rAquPd1bqz3GlZ898peXPc2Xkz13RYg9Sc6EPc34hT1kEnk9JPpwPX89dT261nw9s7GGPUWZjT2eSZA9quyMPdloiD05zX09xbd8PZhphD1SIYs9+pSHPW0YjT0c7Iw9iyaNPVopjz16+o09Vj2UPb7uhz2cYYg9MSOHPZHuiT1mIoc9GoqJPWe+ij22vo8997efPWkHnj1copQ999SjPSa9sj2fkbQ9TRq5PWj3uD07wLA98++rPRf5kj2pS5M98tqJPVKshj2QT4g9gvyIPas9gT3Hf4M9/n6HPX1wgj2GgXo9z02APbpEij06WJA9EqKXPeofkD2YloU9rjSBPb0aeD22Pnc9n9GAPfuLjD26S3s9Xg91PWadgj3LP4o9cSqTPUTVij1IP3Y9sXCCPcRWhT3e9oI9EQd8PT4OfD0cloU9koGKPSg2hz3pgoE97VxsPXsKaj1zVX899z6CPQyHcz3mPHY9xGZoPYQ6Xz3gvkc9/lM0PamgLz2ZozE9ejk1PUsQKT0pyCw9HXI4PSxYPT3m4Eg9l09aPSlfaj06M2o9rnxyPTHlYj12K149U4BaPXKbSz3iIzQ9PwcuPfVCND0Q5DM9ZW0vPfa8JD2qmhs9FMMnPYfaKT0ouic9wz4aPQCrDD1Y3dk8OX2/PGEMuDyGfLQ8kqe+PNxrvTyf8LE8HpOtPEBsqzyKF6s8V5azPF87sTxHTbM8xXm6PDoztzwLZLU8hja0PE8sszw1tLI8NO27PAo/tzzvR7M8O47BPEBi0DynVck8D2nYPNVz3TxQ2tk8hJm5PH0dujwrsb08uGm7PIKwuTxT0Lk8UjfRPIOU4Dz5Ax49bAM9PS1h/jwfT9U8Cc/API3W7Dyf2Es9La+uPUMisD2umNM9SPEcPvwzPz4nXDU+iz8dPgEvGj7mgSE+3pArPpx+KD4sVzE+zl4wPrCmMD6z1is+qKAjPg+YLz4Avyo+NTAjPtVDGj767CE+yAQjPqlBIz4xaiM+JccoPnSiIz7KmRs+k9kZPtyyFj49XR0+UygfPnfoIj7+cEo+dJJIPgxqKz4R5Rg+T9EkPnxGMz7gg0s+Ois1PsMnHj7CvjA+VjYePkUaHD7Bfig+JMonPqjFFj4zVjg+d2t4PgVQOT7gfBc+x9kbPsHLHT5DfRY+r20fPoDCMT4txC0+3GkrPiGQMT7md0c+ckZMPmTSPT4ymUY+gkFDPn0UQT7jbSo+AF0rPv/oPD6yS0Y+UjZRPkUdVT6CWDY+nokrPmbuYD7bKWM+OxRSPixRMj5g2Sc+/lo4PpizOz6MxkU+MA4wPobGRT7cZ1U+adgTPvpyGj6oYig+zHczPoAOOD7fjDQ+oMEjPi8AED7XPx0+3ucvPiF9Pz50sGg+XctwPrNGTD7hkT4+WXdBPj6wJz4yBSg+ayIuPqIqNj6gCT8+/EE/PtG/Nz4psyQ+6DNCPhenOz5BtSg+qvsoPqu/Kz6YnDw+F41HPiw/RD7WT0A+WHE8PshWMT4fwyU+hc4pPodmMT6C/Sk+ex4pPqrZJT7zrSc+a4chPiJzIT5KkyU+8LAkPvUCID4CCCE+vM4fPjb1JT4VU0M+NZZWPkcZZz5pmjQ+iWksPhCTMz434Ss+CiEtPvkZKz4a6zI+Ad01PnkMLj678yI+jHUiPn7QVz6wGog+FSGBPjxtKz41gys+N6YxPuPWHD77/hg+CpwdPnjeMz4Bd0g+19JMPh9+MT4s/kU+JB1JPjbUMD4W7Sc+FNAlPh7fID4qbkE+rIs9Prm5JD5RVCA+ZZYjPrXSKz4E+zk+TMo1Pp2WHj5lEjA+7tgxPoxiLT51ZiY+g3ogPpVYIz6r5yA+OLIiPsStIj6OjCE+CY0jPru8Iz6ZuSE+tlYoPhoyLD7xFzE+NrsbPo6CFD5Voho+1ugiPlBZJj6MtSU+EOUZPkwYIT7qYB8+wWUePiAMHD4cBxg+PeIiPjJsOT4eej0+QWd+Pq7Ebj6OWUg+0h9IPrBzST4EC0A+d94/Pk/1RT7RvUY+xh9CPgx3cT5SQlA+XBM6PiyWMT6nCSw+PLBOPkbyiT6Voqc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9+fcT1kp289B3ZpPWfUcD3QTYE9wDGIPY0/fD0dD4o9gUaIPbIzgD2Wo2o9nrR0PVeeiz2ZTXM94Z5LPRWIRj2k1ks9kuBbPfRuaD0k1YI999+CPRjqez3LGVo92+EvPZcXHj3YqRg98tUlPWXtMD1pQzU9RwhKPRn2YD3s5FY9FXg+PYvmPj2y9ls9tnR4PZerhz3vuWs9nZlEPdsmMz28EUM9ti9cPXtTej3MB4g9SQyOPZpsjD2WlJI9Ba6ZPcXElz2D9Z09DCifPXiSnD0A3Jo924ibPQxvqj1Qzac9zy+ePQ2YmT09XYc9hMR0PfAkgz1iXI09X4WQPWjHkD1e2JE9BEiGPdbhaT1a+2s9yNdsPVjjbD2g/HI9iT+APdjjgz3wWoA9sQR0PXrKcT2GsYo95qeMPRvEiT1ixoM9nLWDPU9NgD07+2c9lvpkPSNVdT2RO3s9DPyAPeX7fD2BQGk9q0RjPWGobj19D409NwOVPTOhlD0/JJM96/mOPZ3Lij0oVpA9QS+LPV7YhT1x4Ho9Cu9yPcMqez31K4o9LGaRPdciiT0TIIc9mLGVPStLsD1Jc6I9Pv2XPU9pkz2nJ5E9KU2cPYxhmz3OEJQ9ffKSPRmojT1SbYs9aUJ7PYD9az1BS2s9Rht4PVLVfz02HoI9JSiOPQEOlz056Iw9FYd3PU5oej3ZXXk94+tpPWOcWT2xNmA9Np9qPY3jgT08joE9JkBzPUcvVj3CWVc90ndtPcPEhD0SyII9uxd8PTpUdz0mUH09jlyRPWRlpj0Kd6M9Gu+bPVaxnT1mWoo9WV5+PRlfcz16UW89PtNwPXkNeT0+T3Q9+QxpPaQfVD1YwWA9QNhuPbD5ZT1E1HE9jjl0PXRycj1rsHk93/WEPRVvhz1+GY89yz+QPVumiT0cpXw9DXxpPRxFYD2RBWw9XseAPW+hfj2Xd4k9KSeQPShmmT2WDZw9A/eWPdtCkT0wEJE9oqCSPfy8mT3ivZw9HWGZPa8ymT1BRJY97ZqMPXb6eT25Bok9fWCbPYWBmD1MPpg9rU+hPQULnT0bRJc9nVKXPZ1Ijz3krJA9zvKKPZcdiD30MJY9xGibPT2fnT2mEqc9nISkPYoQoz0kWZg9s4mUPRqJnj0kAqI9ZOaePXUgoT31UJs95fefPViNoz0x1J49BzWjPSphmD2QcJ09Pq6gPVJ3mj3wL5k93XChPXh/oD0Vb5o9pB2cPXornz1AeZ8999CgPXSaqD3AK6Y9SgybPSw6pT2LKKo9gUaiPQ+Dmj0uoac9etSxPV69rz1+F6w9FNSxPZ39sT1tIq09JT2jPWeYqT2QU6w9lyavPSzEsz3+rr09ijTBPduiqz2LkqQ9cdGlPWw8qj3S07A9JRm0PU2UtD3hY7Q9c0iqPQlxoD0uAqg9AD6sPXTorj0Nc6w9+DqePW1LnT2895w962KiPS/xrT271rY9CqqzPX8zoD32uJw9/uidPfhNoj3tsZQ9d2CNPfq0gD1jgoc9p6qNPfjZkT2mWZM9hg+UPQGEnj07iKI9QnifPfo+vT1WUbc9VeGwPfJRmT0oSZg9u/iUPQv5jD2pW4c9nkOLPXmXlD3PLo49Eg6HPf6sgz33UYI9snV+PRBjdj3f04M9vsCKPQwBhj3SU3I9+cZ9PasykD2JIJQ9CymWPSOFlz1K7JY9u46WPYdCmz3dEqc9JFaePWcVjz2hAIY9PNSCPW22fD3qJYU9FemFPfr6kz3mg5o9CW6XPZ25lT3/raQ9AnefPXtCoz0Boq09A66vPc3utD3qQbw9n0moPbIBmD2oGpQ9ZuCMPUOGfz1xOH091NuGPfdchD0eUXc9fXF1PcLggT2MeIg9auWDPe3sfD2S9HM9bltzPTK4gD3UKIU90pV8PQTjfj0LcYc9g9aJPVnIgT3ytoA97x6MPc4Plj1sBZE9KQ6UPUq2kj1C4349tKt2PUdYiT3MlYY96BWBPbE8hj0VY4M9sdJ4Pbhhgz1FAHk9M6JqPQ/CaD1rzXY9IeWKPbPKgj0nOXg9Ms92Pas5bD0HcVk9coM1PS75KT2MWC09434yPRWhKj1o6Rw9OnIfPcfFQz2jEmA9+6NmPSVpYT2C1HE9ZHqNPfilhT0skFw9ALhSPU3cPz18RCs9abg8PYEfTT0+Zks9leJHPd0aQT33jSY99JARPULeFT3Wzxg9ciUYPU3/ED1GUNk8i5i9PG7ttzxY1q48yiqrPKCHxDxbLsQ8wq+wPA/UtTzx0bM8fhuvPCSGojxIEK88CRO7PHZAvDwK9708p3W4PNOLsTwsEq08YxKuPDVmuzybHLc8WTKrPDRpsDw5OrM81mvAPF1Ezjx65M88y9vKPK/dvDxQNc88YeDEPF08vDwb/9U8QlnhPOtk5jww3t087AwOPWkyMz1r4PY87/rPPAfIzjw4Ofk8BF9fPT/J8z1+kTQ+gm1BPmIUOj4tGCA+luEdPkw0Fj4xBR8+jzsvPivULT4styg+ZRIwPmRiLz7wlio+xL4iPqAJJz7nmDQ+vU8rPjs1Iz6cpSc+3wQpPrxbJj6/TR4+MxodPsOhHT5qFR0+XoYRPkbWEz6Sihw+N/sjPp9bIj4IQiA+01ZCPlrNST6LUz0+QmAmPhcCND4fyDo+tuAxPmtuKz6JhSw+OEM3PjKEHj7vjCw+pEksPrKmJT7nAx4+jJtJPtkCVj52hBs+M38TPqf8Gz6F1iI+7SIiPl2CMD7n9zc+E1w2PvWDNz6OADw+K71GPlDCLj7Gnyo+KVY0PlRyNT6TqDU+LokrPrhiND4Yijo+LddDPpZfUT7Zzko+erg2PmYtbT4UEWw+hb48PvufPz4LtUo+fHlNPh+cLj50vyE+it0pPk5iJz7cTCo+j5MqPpvWHz7pFC4+cCQuPjQlMD7EETM+jk0uPq87MD5h0jE+Jm9JPnlJUj60DGk+1QmIPp/pTT61HDw+18RBPmy1Pz7glCQ+1nwkPmi0JD7F3Ss+/YQ6Pso8Oz7pFTk+sywnPrBPMz6MXzU+V6kpPpWvJz6DIjA+uV81PrSARD7u4Ec+MxA4PnFNJT5YFyI+cscoPqPIMj59UTE+duQnPojUKz51HiY+PO0uPlGyMD7uUyc+TvslPkS+KD7GfzI+QuknPkuQMz6yqDw+Eiw6PgalQD519kE+uRcrPg0XMz6POyU+FDUePvzhJT5KvSs+778yPplIPz4vtCU+fZgPPsKNBD73YAw+47EtPv7qLj56QCk+23MoPqp9JT7TnSA+CvAhPmgCJD76USM+fAkmPo32ND7XZjc+RKpCPiAeQz54Cy0+lJIcPvsdIT7gFSU+WgkxPtzIIz47dyw+Y1UxPjvqLT7imC0+aScqPoqSIj7/XCs+G9EqPhohIz6veiE+eJIaPuBYFD5BLxg+K9cePrkeGj4kUBo+NlwePvMRID6P8x0+DkkfPvffGT7dVBw+HW0mPlAEKz6FJS4+AEsyPhhvNj58fTY+CQUzPtn3KT44gxo+OmcXPuhOGz40lhw+SMsePhjIKj5nUzg+VH87PkCkZz7/qWI+MFhLPhYhRj7/1UQ++KVAPpNERz58CEY+1S4/PnOEQj4DmEA+trRCPm+HYj77zGc+e95vPsxlbT7iIWc+oYRoPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8q2n09NON9Pdvqfz2QxoE9HGiFPXc/jT29b3Q9Opl2PfvBaz1C/mA9rf5sPak9gD35PYU9d796PTo0Zj0rG2g97pVWPXTUVT1Gx4U918F6PQ+MWD1GRVA9Y9FFPSTiPT0cEC09QYkzPahlTz3W4VM94EJLPePiOz374zk9xTJOPfO+UD25Kk899+lNPaLWRD3B8zc9CNY1PUzdST0dwFU9g2hkPYP0dD1cS3Q93lN6PQ9Igj3BgIc9GzSMPep0lj1YNJo9VIGnPTCMoj3TTpY9lUGWPaZ2jT0hS5M9k1+ZPXJDhz3rRoI9D0J/PRyMdj1q4n49+Ih6PVHugj2bAYw94XSOPdrHhj0PymY9fQ9qPShngT0/UY89iJGTPc3rjD0pOHU9IGloPXUTZD3HHXk9uWaDPec8hz3pBoI9pcdwPYJ3dz1r4XI9bLZwPW+rbz1Zx2w9fTFtPeZocD3r5Gk9tD1pPelseT19XIw9AWSdPcKWoD3bIp49YSybPTR3hz2xo4I9wYR/PUiNcD3ubn49Te6APfS0hz3o0JA9yqGWPQ4Xmj3tVpI9ZYKTPU2VpD2tfq49pTiVPbnrhD11yIc9Bf+JPYFSkD105Yg9042DPVI2hj14g4I9t0CAPVSncD3TE249G/h2Pc2Qij35c409eTeTPdHSnj2LV5c936KEPRC/Zj1vEmc98vRiPXTXVT225mM9kU1zPV4IeT0bQ2c97EV1PZWifT0dHWs9CKNgPVidcT2nVHQ9D6h5PWoUgD0RUos9cZyMPYOqkT3eOIs9my+FPcfTfz077m89FyZpPQ9IZz3oYWg9vfR8PfFChj3Uln89dCZgPUWFbD1ziXM9xtdtPducaj0aAGE9JaR2Pf1dgD3yv3A9dbBtPfP5dT3yim49WHyAPZdbgT3HgHk9DlJtPd3iYj1rDmI97+CGPS/whz2V4Ig9X8iQPUvZkT1iyow9ucKJParfij0RkY49bfGWPVGBnT2WdZo9K7GaPRx0oD0YpZI9gyeMPb2khz01boQ9qVqIPdIOlj35SaM9/2GePZ+jpD0MQag9g2CdPeOEmj3v6pM9YV2RPS8mjz0PD5Y9za2VPUPsmD3/RJ49jS6iPcuHoz3t/6c9PLKjPYufoD3I9KQ9/FSmPYtcnT2Qy5E90eGUPdfHlj3acaY9VcKyPfOerT1EAJs9irejPY02rT1Njqo9J9SlPXalqD22las9mEuiPR63qT1JAqw9rv6sPXYNrz2YVK89KkuoPeI/oD0cIJg9UhiUPa7ejz09XpM9g56kPUb+oz3POag9S66oPf2zqT3N0rM9FxmvPZXlqT04H7A9uXy6PWTMuj3CaLU9gtm5PX8Rvz27q7I9u2GlPZxYpD3Rb6k92KmpPcbhpj1yz6I9CFKlPfDXpT1gjqU9uo+qPfl5sz0uY7I95mSdPeJ9mT18dpo9FDOoPc/+pz1Ivp49xAyvPcgYuT0LMqM900uWPWIRmj3jp5M9pjGOPY3sjD2yq4k9YmOPPaw+mj0O0pw9dHCjPavzpT2Jdao9gk6lPVhXpT3sCZ49U0aSPfPakD1YRIw9/2SLPQQIjz3h/5Y9SkafPQj2nj2DBZ09fZOXPWE1mz2GfZ09NeKfPW8Fmz1SmYw9QtqKPTUojz3UjIc9ovKDPd6Pjj2uhaU9KiekPZ1OlD31y5U9STmaPfqqnT2S4pk9QwKPPUMxkj1zaok9wqB1PVZ+dT1bFIA9C4yIPXPtij0T3489i/mjPcfoqD3Roqk9ABOxPYYFsz1zeKU9AQWoPR+Vpz2oyKE9XcGZPeISlT3pn4s9xTyFPXbpgj34KX09DiuAPeGygz1X7YQ94POHPU9qiT05jIY9F3Z/PUXnhD0xXm09egFdPRaoXz1D12g9aSR1PX6pgj1Ul4I9Uo+LPf7rjz32wJA9KI+UPRbLlj1/76E9uEuVPWdbij1JaYI9mqyEPQRJhz3u9oM9K4OHPZ9yiT3mkJA9R+2JPbnFfz0yWG097JhlPZwyaD1Crno9fLiEPfabiz0jLIM9GpFxPY/IaD36s1o9zx5MPQZROD0o4zI9RfUrPR76KD1T2SU9LlEtPZ1yMj3v8EE9YzdEPTSKRT20sVE9LOtnPZXLdj0TXVs9CakyPWAoKz1qHTA9A90qPY8PSz2VAVI9+kBFPYjzOD2R+io9b/wSPXzV+TyUdN48KNe+PHYkqjz7pKc8/ZO3PDyjvjwpiL08i1u0PEZirjx5vq48zum0PIebszw+57M8ZoalPEGUpTwc3KI828CXPESonzz3Waw8KbazPOOdpjyb2qI8xCOiPBcYujx2sek8UpvcPJpztzwpZLI80r6sPGJ6tzyGcMY8VVLNPN84yzz4qsw8EsrSPLIdvjwsCbo8zKTGPKytxzwk1sc85JPBPDMvszzCarw8wlzZPE99Fz1jqCo93v9hPTbOdT24MQA+rL46PiyOOj6QGTU+6+wgPrWLGj78NBY+aR4YPmQJID60Ox8+oEIhPmxtLz4gxjM+hxYjPjBjFj5XWRk+pP8jPvwxGj44chY+DooePj8mJz5ysyQ+id0fPnYOIj6lbyM+CVIePofPFT5J5xg+OiwkPhSkKD5qvBA+7vIRPqd/OD6Cxzk+g7Y8PjdzOD5ooCc+dZ01PiaDMD4QKDA+sPY3PttCMj7dFCQ+/sooPiPFHD4xtCE+29AmPnkzNT7SUys+droePlkzJz4J+Cg+Xf0qPssJRD6xh2M+hQRqPue5Sj6EWy4+WGY3PiJQRz4TwDQ+gUohPqzVKj6FHzE+KcAxPuitMj6o2FA+J89ZPvc/Rj6ZoU0+eIBFPoYoMD7rT28+EoFqPke+OT6JpDI+raw0Pqe6MD7Mjik+LlcxPn1oNj7a1jg+77IwPv08HT4XaS4+qFU4PqtiLj7FTCs+h9oxPgrfQT6PokU+oRlOPtO0eT6dWIA+vFBoPthxTz6PoiI+3BorPsNhSD5QEl4+bDc2PkEsKD7ZhSQ+UCQsPqzmNj6t1TQ+tWozPqcWOT4bCjY+0Yw8Pi4QMj41qi4+K/IxPvewQz6jw0k+BRY6PqlVHj7ONBo+ntAjPppVKT4pXy8+Q/wmPiKnJT7iSCk+iDwqPl63Lj6IHCY+v/UhPo/WMj6ddkk+W/1TPmXXID4KaB8+AbotPnIpLT4xvi0+P3QpPieLJD6Z1Dg+4ygwPtPIIT6EVys+dfUuPrhANz7kdEA+k8gpPlZZJj67Mw4+AFgKPq1mJT43yCg+vPIpPsauGj6XABg+logbPvm2MD5FzC0+IvckPo9QJz7tiiY+cC0qPkwTRD7MK0o+sgE3PkBBHz4FFC4+XmkyPpUjOD4SSyw+sSkjPnSoKj42DS4+RI4sPiitIz43Sx8+ZdMgPiiSGz5NrR4+V3sePmDqFj7idw4+DJoWPlQcFT61igw+Bm0UPu67JD653BI+7rETPokNKz7V2jI+mxI5PktuQz5zjjA+Qto6Prw7OT7Khiw+AvMwPlrxPT53Xj4+6mMxPhv4Mj7CIDE+GVksPrNOLT7NOCM+1lUVPlApOz4lgW0+7YtoPhibSz7Kyzo+AP9JPmXrXj6k2WI+v2xtPgcRYD6AoEg+V3WEPrAUiT4ZBWQ+zPtdPosqVD5gwUI+ht0qPviTGD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/3fp2PclGez0W/IQ9epeEPZbphD3+fHo9kwd5PXHxWT2tZmg9gHh5PX54iD1mbos9+pB1PTXPaT3ePlQ99y5YPZYjXT1Fhl49+p1NPTzhND2sKiU9PbUkPYPmKD2d+z49i2dbPY/xUj3LNks99shGPauCRT0JCUA9QblSPYfabD1781o91H5IPQqdRj2Ipjs9Pc44PQVYTT07dms9PTZ0PW6OcT1Ye2k9mkZePTqEbT27FYA9dOeIPfGQjD0xGY89sMSRPWWOiT0E0349u/JuPWoKbD27n2Y9uIKCPanfhj0d0og9SxmDPUDOgT3W/3Q9WSVkPY9ncT1T7HQ9XJd5Papyfz07omI9NwVtPWUmdD2GD4Q99jiIPW4SiD2ATYQ9Rsh/PQSYZT2II2o9FrSAPXQygj0kJX89rsdzPW/zcj2dgIQ9cKeJPdgfhz155GA9TaNPPS7VXj0OmHs9tUGFPcL5iD2jyYw97w+UPZV3jT0SEIw9MCyIPdxjhz0wG4A9GReFPeangT0CI3s996CJPUOyjD24qY49pOagPcZQrT1dAqY94IWgPeUYqz2Mm609Y6yrPWuJpT2EeIw9Ts9+PToohz2FHok95ImLPfaDiz3XrYc9TWOHPb7Rkz0oqI89WAyOPZtCkT1qVYg9P8OAPXRQiz2tG4c9xHx8PRMRfD3McnA9LM1oPV7cWT0EFF09dhtnPUYoaj3DV3E9eDpjPYDQgz2xIYg91ruJPQGZhj0WsoI9izuBPegxiD1zd4w9G6GGPU8lYj1l9Wo9qVN3PS6Zdj3vw2o99JFXPetqWj3AMmU9oRhdPUfBaT01nGw9H3pyPZE+fj2DHpE9v2yEPb4saj3PaWs9DP5vPQXrhT1Lwno9jphxPffceD3uuoI9MSuFPakogT2aeIE96bFtPYmAWj1XKl8970dwPU2lkT0CI4o9JaV/PZjSgT35CH89V1mEPZbEiD3dc5E9k0qUPVSzmD3Th509YOKVPcaLkT2vM5g9+5qGPa1bgj23W4M96DCKPXaujT2y9JE9sUuYPYdKmD3TcZo9en+VPXEplz3Okpk9hvaRPU4GnT1C76g9y7SkPbOjmz04DJ09vTabPSvgoj2F8aY9zSykPVQVnz0aTp09+punPWCanz0Rg5k99seUPS++oT0ORp09Y/mZPYTSpT0llKk9IrS4PQiotD2GJbc9pLu1PWxisj33j7I99tXGPeCwsz3akac9GU2jPW26rT2jf7A9rwatPR8+pD3aUKo9JFWmPVmhnj3bkp49D26uPenJpj0gAKA9R4eiPbgqrj0oWbE95jG2PQAeuj2MXLY9uxi3Pbu4tj2larY9izewPdW7uT2nab09i1yxPRlToj2z/Z49GiajPQsWoD0XLpw9XLqjPR1VrD2HNK89Tmq7PRCAvj0H+LU91aetPWoImT3r9pU9rwGhPbhIoz3ITJo9AjyfPWohqz2HgKY9EXScPdxnmD3R3Jg9GBGTPXKMjj2tbJc9ZwmePV9woT1glaQ9JsShPVF8oz2m1Zw9W4WUPazyjz3uF5E994eNPcojjD1kB5E9V4eRPdUDjj1ytJU9fSKlPaShpz1m+6M9hbWiPdKZoD3lWqg94VWaPXbqjj3Siok90YaFPUedgD2r7Ig9C1CPPa6/jz3PhI49kPWPPYjEjj1E2Yo96hCJPQw1hT1BsI09UpOJPd8egz35u4A9RgWAPaHRiD31P4c984mCPYYEgj21y4w9CAGdPdsgnz0vcKM9vzmwPcTmsT0ItqI987uGPRhOmj1DraA9uZiaPbEQkj1Cf5A9VTqAPZteYT2NLlc9eTFePYS0ez1vnIw9+wSOPZ4chD1BKm891bp1PSp6dT2VJlk95WZuPc/VfD1sano9FReEPcvDjj1i7o099qaUPVNSpD1eOJ49kPiXPd6akD25dYM9KSuLPR0bjz18gYs9KSyHPYU7hD1cyoI9MsSGPe7qhz1MQ4k9yZ2KPXtPfz0u+Ho9jvqFPUkEhz02Jo89d96WPUUUmD3ikoI9qkJvPX8oYz0xyVQ9BbtIPXbMPj3iezY985RBPTpcRD2/eTo97Bc5Pbr2Tz1QLUM9XmYvPXN7MT13AD09YCtCPbjEPj3mWSw9E7wsPRbzLT1ZUyo9kSgoPfgSOD3hGEU9ETo9PbSSLj2I7Rw9HccXPbXlDz0JmOw8hMK4PDYmqzxH+J88ALOdPMUZpjxWBbE8jDi4PMHKtTy/gLY8JKG1PN/+rDz5mLA8Ea+3PNthtTx7fqo8P7unPKg8ozwZ+Z08XsuxPPafxDwXe748i7e5PCmjoDzQfa482wC0PCH/sjxtJrw8xGa9PBdWuDxairM8PiO6PAbusjwRHMA8IyHCPHN8vjz62sA82ja8PNwmvTxyrbY8UUK2PHEXtzx08qw8a1G1POZW0jyYtBc9V+w0PapBjz0xMvM9OiNBPpS5PT4x7SM+O0wjPmIVHD4WyQ0+28kCPs/w/T2hKiU+3ZwpPvQuKz5FqSk++1glPg8lIz7s4Rs+rNUZPr1jGj57ah4+O5kfPgLiHz7qnyU+bd0bPmHQGT5NIBs+cPQdPrXEGj7Fqg8+xkMWPuhlHD7Z6CM+MmIPPjAqJj7ViVo+PCBDPt4+Nj6XTU0+4WtqPjH6KD4mVxM+PhcmPq06LT7mOiw+2h0vPrQdLz5xWig+vj83PiVBPj42aTU+quUlPlvWJT6/fSU+ve8mPpCeMT5rpE4+H+x3PuzUhT4pbls+5LIsPjnVNj48Gz8+zw84PnqBKD4+STE+Fro0Pi6YPj4t9ks+t+8tPixIQD4pHk0+KI1EPgkRMD6hsSU+HdQrPn+LRT4+Lkg+5+M2PmhXND4NyTI+tw4tPmvWPz4y0EM+1/tJPtW/Oz7X1SY+MdU1PqtHPj5F/j8+Tmw+PhK7Uj6EQYE+ZTaUPrBCej76Z1I+DzBaPi4VVD4gqFE+rFUsPoKQND7r/TY+bEE7Phz2Kz4vCCY+6WYlPhsqNz4gOzs+1VE9PuQESj4Wpjw+jXItPt1xSD6W1jQ+GgUuPjOWNT5eJEs+LsJCPqnLLj4MfDI+4eM4PnjYOT5ERDs+zhEzPteYND6iMjY+xagrPkdZJz4kNDI+FEcsPujZJj5gbjE+fi9bPmuhZj4c/DM+KtcWPq03Ez7+jyQ+iNUyPt9eND6AUS4+LhImPv/ZKz77vzU+JWBAPnO3QD4zrSc+Mh4vPkouLj4uOSM+4L0WPrt0FD5T2CU+sQcxPlT/Ij6SXiM+2XAkPlTOJT4jAzA+qSouPsGPKT6uuTg+wf0wPqIBMj5IoUg+9i9cPpwUTD5O8CM+MDQ/PpqnQz7dezM+BrQYPn48Iz7M3jM+EQs5Pv3VOD6iFTA+OacTPsoqGD4fNSQ+6VEkPmBRIz7kdiA+pYAYPop3FD7kAQg+Lo0ZPka7IT4u1y4+UWIsPtDmMD7EqV8+rf5pPtwpbT55sFs+RtRCPjo6Lj7cpxg+Nq0VPi4mHj5Ihh4+e38mPq8/Rj4GjEk+JHk2PrcQOj6360Q+CCBSPsUBST7EOUA+M4BtPqhIbz5lmVY+MRRHPmsLWj7/p2I+5E9gPq42Vz4gQG0+4mhvPgOYSj4fbEQ+tKExPqOBND4MKTc+Oyl1PlmpYj4W9zg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2iCkj388ZE9Fy6LPb5Pij0CY5I9bZmYPfvtgT3u+oA9F8WEPQJEhz1h5ok9i2GBPctEaD3gTlM91q5RPRj3VT1fSVk9LsRIPW3cNz1p+TE99FYwPfEoOz1DuUA9m7RCPTBLWz2s4lE9YXZPPe2sUj0WklI9k6hZPW5IaT37zWs9oExhPbd9Wj0qVVM9g1lNPUheTj29hFQ9EHVTPZPoUz37L189gLVmPW4AdD2U9YM9U5qSPfZxiT2h0Hs9lgdsPWGSaj3fdmY9ACBzPdvObj3lrG894m9pPaztdj3CoIA9t82FPW99jD36ApU9BCiTPQ2sgD1tEXk9aKB9PUd1gT2xBoY96jyEPRLdaT3qEmc9BY6CPY9Miz1lKJU9BU2VPZ4EjT36rYM9VgeFPZxkgT2lv309qTuAPZFPhT0AdYA9Sv95PWMMZD0Dmlw9PcZdPdM0bD2PvYY90t2OPSxWij1S8oU9td+FPSWVhj3vRIc9CgGKPZ+rjz3OFJI9kaaRPbkdmz2woKQ9Nt2RPWojnz2bbaY9xYGgPas8lT1dRpA9biKUPXQknz3/rp09IFCXPcezij3MTIk9sbSEPcCQfT3Mnn89vgR9PQMYgD3iWow9U0qKPdBCkT2i4JA95QiHPVQ+bj2FLXU9+O98PQJxdj1fn3c94yV4PaAccz120XU9MZduPRXzWz0H0l49kBpqPZOjcz2hAnI9+GtdPcMDaz1OPIY90+SHPZTSiD34r4A9T1KBPT29cD1VRnc9tAlsPSd4Xj079mY9qrtsPVIVZD3RwW49D9d6PSSjbj3LnmA9bGRiPX8eZD0ah3k9tgeBPdmegz3JsHk95vJuPSJ+Xj3MNWI9hOJqPe1KdD1lR3k9rqxuPZk8bD2se4A9oPaGPZtdij3/D4A9iwNyPTITbz1293Q9r/96Pe1ifT0tNYk9/q6DPWOxhj3G0X49vXx8PXd7ej3zR4A9xgqLPbwMkz0yyZE9xq2SPdkxkj2LDaI92dimPcJjpj1AVpk9rQWYPUY9nT1RHY892VuJPSunnD1Oj6c9sUynPVQ9nz2DCJs9o+CWPUymkT09B5M95GKYPfNSoT1qv589F+ysPSNpqj2w9Jc9KxORPSoEnj3AO6Y9kdufPXHDnj1pnJg98Z6UPXNgkT2O0JI9qY6aPQjemj12ea49qFO4PaznvD37lrU9cY2zPWahuD1Hdq899f+vPQrJrj0qZa490BGkPXMWkj1gyZg9JY6dPaw2rj1q7qc94wiePclJpj0FvrE9IaCzPdrZtT2x16Y9qi6lPb/0pj0G6aQ9mqWjPdb7qT3Ztq09rAquPfsAsz0B8rA9pDSyPQYEsz0P1bU9oEa4PS7Gxj1mYcA9bNCtPTPzqj3dB6c9NRioPWQNoD3+O6M94+KmPUjLqT2TAKw9aRGzPZ/Dwz1rTbQ9kHyqPTQOrT33hqY99rqbPTqilT2X1JE9sTeOPd19jT1Nyos9b5GPPYTumz3JBJU9V92VPVYgmj11nqY91HWjPSSbmj0gr6I9Hk6ZPaeYlD34sYw9ZheJPT6nij0QAZY9jjWkPci+pT359aQ9JyGpPbqctD31DKk9RaelPbLNpz0L5as9mDqbPXSJkD3Tq44970eGPdPsiD2ONpA9xUidPaFplT2mp5Q9F2SMPdCmjT0u+Ig9Rrh+PZL5ez0vaX89WRKBPTIafT2TMHM9sYF7PTuniz2R1pA9+ZWQPZgKkD0tiZ49SA6uPSc+mj2Z+pg9LVuYPaUliz2wFI49JjiTPUVHkT1FYZg9Ac6XPfUPlz3P3JI9VBSEPdXdWD3o5lI9Cm9HPVBlTT25tWE9P0mJPXAfjT3t1X09dxppPQuVYj328WE9L053Pb0Hiz3IWY89Qw2PPXaujz2XfZk9vRaZPb8wkD1hkZM9a6SOPdMUiT280Ik9dEuSPcNzoT2u8pk9Bx+IPXezhj2WMI09ELWTPa9JiT1E7oA9tDp4PSNVbj01jW096ACEPe5Oij0wf449zqWHPTBUgj04mXU9MbFKPSGLNT0Paiw9ilEnPbcAJT04Syo9imxAPchLVD0AClE9WrFNPcjQST0YmTM9XZ0cPZegIj37dSQ9AC0kPTNiIT25UCk9WlAxPTJlNj3kjDo94KhJPfc/Tz3Abl89i6p2PVU+aT1wXUU9PHQtPdNSKT12/Pg8uFK7PLaXpzzxq6I8/2yhPG2Lojwf1qQ8Cbu2PLOhvzwtWL08Z0+6POtatzz3kaw8pW6zPDOVsTzffqw8pJqnPHCOojy4SaM8QIqqPGoNwjyuFso8J6a8POYPtTxrIKo84dunPL1YqzxS9bo89ffDPEJ40DzcxL88Sdq6PAD0wzwa5co8oOrIPO1ywTxWK748/J+2PHoovzyutcU8f0POPBnivTzmirg8a6OxPGBdvjyEU+g8Hu9KPfY7vz0Iquw95hgxPkQERD5box4+OfoIPhAyGj4Zpxo+qOsaPmUZGT5arBs+ZwwkPpLsIT4cESI+6+QePktcGz5ZLR0+T/0ePs4fFT4KnBg+9EchPuobGT58dAw+po8PPsjzDT5amw0+i/ESPm5QFD5LNRY+KesHPlZBCz4LhRY+jkQnPkrAKz6bjUA+7kFAPpS1Lj6u9Rw+wZo3PtCgcT5pKD0+1yc5PsmoNz5biDg+xEk1PpqoNj76Sz8+AakqPg+SJj6S8zM+tLs+PsRIPz7cJik++6AvPsV2ND6XKjA+sygrPkNERD5/OWQ++KZnPnzsaD6lSU8+6EMvPgbiID6x1SU+RRgrPnjQMT50pDY+29w2PtsJQT41GC0+GdI9PlcwOT5uZyQ+9n4gPoDwGj7lOC4+c4VCPqzLQz4+llU+I4hfPs+MUj5ggnc+0IVYPr5YRT754U8+T1ZOPqb1Qz76FUc+kypbPsKBeT7bTn8+ItSCPoXagD6VkE0+uFwyPlzfMT4zTTA+DBcnPpD5Hz678jE+MZI7PmvROz6lQTo+6u83Pn4wLz6dHEA+wpU9Pk5PKj73FCw+0ngoPvaAKT6pXDs+syEnPqg9MT4iczk+UvpPPuIpOz5aESI+OZA2PiGIRT7+p0Y+UVsyPuQGIz4Zjis+wrg5PgYCMj4emTM+ONw0PnyyMz4AmSk+dzo2PlpZRz5UpEc+pG4nPkWcID4ewiM+VrgmPsvVLT4rGi8+Z6kqPtLgLj6xnSs+uf8oPnmfNT4vJjk+tnZAPuiLVT66I0c+4T8xPhfFPj5daEM+TE5NPvgEPj7d7Bg+HRMiPrZTPT7jYEA+mQ9APla6Oj4kFiY+dEUyPlFXLj4RUSA+cV0mPmrHVz7S80s+slY0PhQlQj7cfEU+aCciPp1aGD6G9TE+iMMvPm0KPT7YG0M+rPI6PtFpJT6OxiY+guM3PpotNz64hBs+Xm0cPqH7Iz5zhhg+9KYUPkjUJj7L3SQ+2EMpPhsULz6H3yY+azsxPvtaTD4YToU+cySGPkCvWj5JvBg+X64MPvKeIj6Tbyc+DrUePibjGD5d7hg++dY6PqjAWD7RMWs+IUZgPoi/YD7t42o+Ae9TPu+SVj7N5mg+s3llPlViUD7UuD0+6wQ/Ps5/Oj5nLjg+9sozPm6sKj7H7SU+eDQuPtifNj4GlS8+H2g3Ph35XD4MRHo+t6lxPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8Lpoo9zY2LPSq5ij04tYM9+sCHPSoBiT2UiYc9VfeJPSt+jj1l94s9lT91PbA+az3BFmU9YllYPbwLTD2Niko98b9MPdDhSz1oIF09EpI/PVw8Oz1JkTY9b383PZ9sOj2+9kA9EUtMPZdxQj02O0k9aFNbPe/3ZT2a/mk9YZVyPRKCZj2URlc9Sv9kPfBDaT3SbWU9NJBlPSdcYz2/1GQ9xlxrPRQibj00xnc9HJZyPY8cfD1C3Xo9Oy5rPeDVaj2pRHw91mV/PbmohT0Uv4M9sCWDPfCWhD2fGI89TAyTPQIfmD30DpU9WpiBPWg4gD2PgoY954+EPYNLjT1qG4o90dRzPaYBcT1TEHc90hyGPVhRjj2dZog90NKLPfKxiz34WJA9j8uWPUaCkj3q94Q9PjuNPS/Djj0OEpA9PDWMPZOogT2BEXY9C9mCPaojfD21aWU9R7dmPWbhbj18BXc9RxdSPacJYj1P8Xs9796DPRVBgj3tCo09ylCdPZn/pj3U+6s94rKvPV8coz363J89opmFPa98ez2X54A9nJWFPZk+iT1m7449y2KJPceOhD1tCoQ9pPGNPZoikD2GSYU9FpyTPaBTmD0eUZg941yaPesGjT1qiZk9f6CPPQLafz10m3A91lV/PQm/gj2deoo9NW6GPaaNhD0aPIg9+n2EPQ5aXj3WCGE9Y7x1PZtaeT1RVXM97kRrPZSvej1LAYc9NuyHPSuNiD128449fH6iPXqUnD0lyIM98riCPfkVgD22bnc9bPFrPT3uYz0B/FE9DwxfPZR/bj1Sb3o9TKWBPd4Saz3Em2I9p2B8PeIJiD05RYg911OGPbcVfT1fi3I9B72KPcAEkD2QtZE9+Bp8PWmrZj1SoF09Sxx2PcsShD1osXA9xNFcPUIDez0BI4g92SSSPbC8mz2cJaM92W+XPXkahj0oHpM9GnWTPSAqmT3dz5k9VCSYPeFFpj1jQKA94XyMPUcNij0iX5Y965WiPdP0mz2Pu5A9Xh+VPTw7kz1oT4o9MPCFPQJsnT12i6s9ldGlPXVunD1cL5Y9D36dPSlzrz2l3qM9CbGfPQuqrj37v7E9A2GqPSLNrj3vja49/cyfPUNdnD1Y6Zs9fiuVPe9tnz1V2aU9omGgPad7lT2wiJM97b2VPW0Nlj2v/KA9yZ+pPRbpoD3Xap09hwuVPdJ2mD3285095XiiPWOcoT1ne6A94hKVPZrRjj3SuZY9wfOePdvbsj0GVrY9+EKyPXB8nj3FTaA9yyurPQCMoD2iFp49qsSbPfyEoT1Xyaw9Y4isPY6Drj01nq89ds6uPWhTqz2nBbY9GBW3PfQSsT0J7rI99Zy4PWcopj2PsZs9PVylPS5PoD0Qz509ezqUPQ8GkD2DtZc9wS+kPT2OpT3VuKo9hjCqPQR6pz10k6I915+bPUzpmT3Tzpg9kQiSPeGXiz2ZJo49QaaSPeBihT1VJoU9Ak+GPTrFij1HZog9wpydPeHmrz3sy6o9pAS2PZIXrz0O7Jw9d7CXPfoojz0cV4s9seWGPfTziT03f5s93eGwPZKWvD2sBrE9KP+nPWj/oz3yOK49AFaoPRcKoj06dpo9gqqSPcHknz0ftJ09Ix6VPTZckz3/F5E9rReTPXSTjD31voo9vBeDPVnaiz13Mpc9gi2NPadZcz0L8W09G6tlPYgHbj3ceHo9K5h6PV25gD20AJQ98RKUPVuLkD24BJM99dWUPX3OkT1lmo094I+JPfn3iD2/n4o9tnmRPd7DmT1JQpY9P/6dPTmSmz2rTpc9CdCMPVv0fj1pbGU9X8pQPd6aPT3n8EE9/QRhPVUGhj2ld4A96T1uPXClYz2/0GQ95PlsPXjVfT1kkos9o1CKPVcoiT1ZyIk99jKKPRtThz2x13o9ypqSPUcBnT0Oi6A9gIqiPaCimz2Y1ZM9P5qDPaD1bT1Gjm091bN7PauGhT3QoHU9y65oPa8dYz1numA98/dhPSA2Zz2C4nA9Lc5yPYOMZT3BtWM9ZkBWPR+nTz1RhUg9DPlFPXP1Oj2FADI9wWQ2Pat+RD2v1U09pStNPQ3ROD2/jzM9x/QtPa4oID2e1x09JuAkPf4iJD1pjCg9Uxk5PRu4QD3wRjw9TZg1PbfeMT1cLzI9YxUwPUWkIT12oCM9W3cdPetoGT3h6Pw8QQbuPFo8xjwndbQ8066nPJNXpzyyYak8sJ+qPNXnsjyh0bw8qOvBPNONuDwT66489su1PJ14sDxOraQ8guWlPAfJpjyRrZc8q1mfPO+DwDwtb788gRvIPGYK2zwiT6w8W3qqPFO1rjwWRK08go+vPHZ3tjwFlbw861LBPKxlxzxwysA87oLVPGBE1TyxFLI8yGWyPEEduTxX0c08XC/GPMf9xTyNgNg8FxzaPDdVBT04rCk9xpE6PV58ij2kDgg+F1kQPr8KIT6UNh0+EaMbPrKZHT57Txw+01wYPjjpFj5BCB8+A1gfPrHhGz4p8xw+7Z0aPpZ4HT6rqSU+xOwdPljJED7neQw+A/ETPlYdID4GXRY+HjsSPrLVFD7XmQ4+KvcLPuZaCD4QkA4+ZVgBPh1yDz6Vth4+FvscPoGRHT74uSw+E8M5PphAPT5slyk+0xsbPsnRET6B2SE+8FA6PqGJTT5gYz0+MGc0Pv4SLD6MDi4+K90lPvPAJj6anys+8H0pPs2CLD63qyg+CoErPh1bLT6yRSk+dDMlPmuvKD4jnSE+AMowPlrWND7oECE+nn0ZPkiZHD4nsyc+RPErPlfdJT4apyQ+qu0iPlRyHz7LrzU+6UwfPutXHz649B8+UcofPjlWHz5MNSU+OmtOPiSaQT4K8jk+3z9DPg8uQT7wXD0+btxAPnqGWD7kXVY+BBBNPtnQWD7ZEmk+d1iXPlGtrT7sVY4+Oth0Ph3HRz5jXjs+gHM3PjI7LD7SuC8+/9czPnY0RT6xmTs+fVQxPnzNMz4LnC8+oJwrPmoDJz4k2zI+54M1PpQQID7elR0+RJggPtMxGD7kwxk+JdMhPoCWLT7M1zQ+N/85PqEMYT4mhCI+AhkdPoHIKz7dwSI+IdUcPo7gHz7HwBc+4CAmPpbCKj6+byU+DJoePiTsIj6Q0iw+uT4jPh3VGz6e0hU+2VQRPs5qEj57gjs+PP1NPm89Qz5BISM+XIAiPo5jJT5SAzI+5A4+PqoSSj6D1kA+9b5bPvu6YT7VHlw+rs47PusTQD7D/WE+XL1bPq1NVD4elzo+HAQmPls+Pj7BGV8+rWVVPoyrRz7RZiQ++xsePsYuHj4L9Sk+fk0pPqOxKT7Q7i8+8146PvJJLz4FOzY+WV49Pme+Nz6ZSTA+WB02PgBBKj6QgDE+16VDPhwBPT7sqS8+8yo0PqU6Mj7wKS0+mXAePn9TIz4r6y4+E3EnPnp9Hz7hWSk+pvUiPn1EIT68uhk+eI4XPu8uBj4eqfk9H1YQPtQ2ED453w8+87EVPt6/Kj5Z9yA+gMYfPvL8ID5WHiQ+RHofPiBCHj6izz0+nOFbPosdWz7SZFE+iyhPPv2QOj7x3Dk+VOFKPu8NTT7R0Eg+a6tFPmd6QT4y6DY+i3RAPkqNRD70F0w+a6s0PgU1MT608EQ+AYMaPug7Kz6031A+jvdDPjvQMz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/tSWKPTL5ij1SApA9+AyQPXWPhT0du4I9A5OBPSYugj17qX89yvBxPdvUXT0OlmM9TO58PadhYj0FSEE9ij1LPQtjRz2JgkY9wXpFPZiBSD20rkU99Oo5PVQrPz3Ty0I9Tmo/PQUOPj1oZVU9wm5lPXW3cT1BtXE9NztmPTYrXD0mn1E9uC5mPQ7pcj1irGg9UahpPTAlcj0WQGU9gB98PWLugz1b53Y94HZ0PZ8xbj0LhWs9kW9oPbbvZz1TlXE9UXx2PbLbgz099JA9/VWTPW0Xkz39M5U9ZXOVPQ9TlD1TBJw92UOYPT6MhD3mIGw94WNxPf46ez1jdIA9XW15PbyNZT2fbmc9he15PbPsmD043Zo91QeSPfDzij0pqoY9W3eGPdSAfD3t+WY9NJVqPU0bdT2+e4o97kKOPTO5jT2f3ns9ibR3PVkmaT25PnE9dqF7PYxagT23IHE96ThxPXFCej0483c94KduPcN3bD2RnXI9sK96Pc04jT3NWos9vjyPPdXplj2rd5E9i4aAPSy9gz23G4g9oSqHPbXGgj2wjnw9Q9x4PbOvgj3QjIQ9CSaMPWOMlT1zfIM929CAPQgaiT0B4ZM9m52YPY8Clz0lQ4g96i9/PUA4iD209IU9yzF9PfvBbD26mW89UuOOPX81lj2RcoQ9zwuAPfRefD3nP3I9m7eAPWNDiD36eog9sfKJPQL1fj04wHo9Xk+IPSL1jD2MXJU9jbqUPRBVkT1LfYg9LqB2PdYvaj3gqW49z1lqPUiXXz2DynQ9tgVdPRA9Tz1uUlk92kddPe27VD1WZV09tm12PYa6gj3/MXU9kd9mPZQacz1+bIA9kLh+PcIndD28w2E9flZaPRJ0YD3uoG49fNhuPQ/CWz0DnmM9YstoPS0rez1T4Ig9Ov2BPSeDhj1nr449JGOPPZ5bdz36ZmE9O7mAPQ2shz16WY8953mTPVWjlz3C/JA9SEuQPSmTjD1Dm5M9gC2YPZ4Wmj2dQ5Q9fgGJPWVNjj39bJg99iaaPRhwkT0KlJM9c/6ZPXz8qT18Dp09JK2VPb9ymj3u3Js9DbScPbHgmT3FaaE9tJqkPXLgpj1mIqc9lwCnPUeIlj3i5ZU9CEaXPbgonz2iC6U99o6ZPTOBlz0mZZU96NWUPUDamj1355g9AGGQPXz/kj2QO5g9WWKYPWrklT0QN5w9ULeePYPVoz0g1589U9yePX8+nj1u85c97WmZPZr8nj1eMp89lOmePWcYmj0/XaY96s6tPceWqz0MQKc9XG2mPQtYpD0aiqU9PSSsPYs6qj2lnas9b6asPY6uqz0hN7A9ETbBPQYGvD2kQac9ljalPa6LoT2yq5Q9JFaCPUq7gD0evYk9UFGVPRLJmD0ZOpg9uV2ePXcrnT1tyKA96U+bPY0jkT06cX89UmZ+PdY4gz1c+ok93i2LPWW0jD0TzJA9N9mYPbSNlz2HHp49O32XPcC3mz3nEKA9HcegPbPxoT2Zwp89LXCUPaRgkj0vHIs9eCaAPUSXgT2b2ok9KCGFPYUWiz2XPpg9PoGjPVeftj0q9689CGqyPTfYqj1ph5s9LSqVPU3Skz04rZY9XTadPbX5oj1j/Z89cWGnPcwXnD3uj4s9r5+EPSCpiT0HCpU96XCpPapKlT1xMZE9z+OWPbfgjT0kaII9h/d4PctEgD05D4w9WGaMPQrchT0quIc94KSSPaCskz0HwJA9aHOOPRVbjT2oDYg9ed+UPdgPjz1TM5Q9X46TPdZYiz3b/ZY9y7GrPa2bsD1ZpaY9ESqXPXl3jj1uc3E9TfBfPfhsXz0mLG89gfuBPctaiT2Pmno9UMVnPdsmZD2Vhmw9SXxyPW1Jdj0dCn89F+eJPQP7jT0CJYc9y3SFPXqafz2jMHE9Czx8PfMIjz1ThpY9vpiHPQ9tfj15w2I9mvdZPV7QRj29j0c9VhBVPTU7Wj00jVI91mJIPS+KSz3KF1A9MV5RPfWtTj0es2M92F1rPZqyaT38Dl89m7lSPdO6TT3fA0M9ATs9PXKkQD0Euz89ElxRPUtqVz1XYV8962RQPTm0Kj0hLRc9+yYlPTPuKT3zvCk9yNslPVm7Jj0aqyA9yTowPQyfNT2EsT89cVkwPelNJT2dQx09GhcUPQJWEz1yPhs9zYghPTAEJz05kRo9ovHjPFfx1jyEess84jO9PMYJrDw6kbI8lAS5PLBKuzzWKMU8v9/BPCxWsDyiRrM875a1PNMOtDyZaKc8e1qhPCrRpDwzuq08kvasPG3jrTzX/K08hJuqPIderDxf+7c8ttWwPC0ysTy8I7Q8jsqqPIgarTysOrQ8kTCoPH5QsDyVV8U8jhG/PCDyxTygvsA8PDfEPDfUwTzrSL48F0bSPP0TzzyjWdg8kbjWPHv63jwGuwA969gCPdQv6zzF/t88DsYLPb0XIT1/BYQ9NsoIPm+5Iz6t3Bc+8MUUPhWUEz4LUhQ+amgVPnh6DT7ZdQ8+lGcXPnZfHD5g/iE+ES8SPunbEz7bjxc+pBgQPvxmCz6LZxU+StAaPmNnGT48syA+NBwWPqRKDD7rPAU+i2YIPg68ED4upxg+kJYdPnnPGz77NSM+2C0jPgUCET7dcx0+0AwpPrLVNj7PUzQ+8NUuPu48ND4iNEA+3FQwPprPID5lpxw+Rr0ePhEEEj52gCk+b6QwPszCIT47wiU+AXsmPrXVJz4TCik+/n00PsfzST7ZQTc+/Ko0PvB/Lz66gDA+4yooPo4+Ij6LtCk+X70wPjRmMT5ehC8+UjIxPov7LT62dTM+cusnPmelPj7LuzI++Q0qPu9mLD7ZtCI+PnAoPixLMD4z+iw+pHw6PkBwQT58fjM+fystPgjIJz7Oc2Q+dsCVPqfulT5YX2A+8DpBPoEAXD7hh14+BWhCPpQwLT5sySk+BOMrPl78MD4vYTE+VVc1PtsrOz74ADc+B85APs5fRT55gio+77wnPuEQKz64GDQ+xIA4PkdHLD6xfDI+8e8pPvRkKT6oUCo+t8QqPi4jLj6GBjg+4JkzPnmBLj5WGTE+ulcgPohVKD74bS0+BrIoPml+JT5qiSM+NNsZPsOWHj6lhSg+dV8iPv5mGT7JQRk+6gsePigWIT6FECA+vDoVPi5OEj4JTxc+R6A1PrMoRD4nsjs+0norPv7FHD4Ocho+9h8bPjb4OT6Y21E+1q9PPm5xbT5/9Gw+HaNWPhz2Nj5kfyk+4BVKPlusQj7UcUM+8tdOPvYhSj5ojk4+67tqPlJ0Vj55dE8+D9UqPrCJDD5FZSA+AoEoPpqaMD5UfzM+NyQ1PqF5Lj4/Kyg+fGAkPvnDOj5tUz4+l309PpbFPz52DEk+fbs7PhZlNz67DTc+5Q8uPjfQGz566hY+SdwePvfjKD416ic+x7UmPg2XKT5RuSA+iLobPm+4IT4fRSE+9iQXPopHDT5fiRU+FVQUPrPCGz7ZRx0+tjscPnuVKz5PjE0+5VlJPrV0Kj59SyU+54MhPjOYHT4xyhk+BO8tPscdSz7xkVM+7rBePht5Rj4Cfh4+gl45Ph4qRz5Dzjo+GelHPuQHSz60AlI+brVHPqsuQD4vGEE+5Eo+PlNuTj6fPFc+rqQnPsv6KD7y3jY+fJFLPlgaLD7UHy8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3dBjD1W6Yw9JOKOPbXLjD3ELY09rzORPVP/kT3A55E9T6WPPdVqcz0RI3o9uteEPUgUgz2FI2M9f6JWPccPWj0hJFg9vIZkPdnPZj3P/F49ObNRPYkaQD06bTs9zTM5PX/TOj2Ojkw9J6BhPaFfdD2Mkmc9nAFMPYz+ST0X2lI9itpfPdeeZT1yu289C2tsPTpkcj1pBIk9owONPZDaiD0Vf4I9nEFyPet7aD0qPGk96bd3PVgUdz2hOnc9YeWJPeMciD2c+IQ95gOIPV+gjj0MT5U9qKCQPTgojz28CY89SdqXPX/OkD1g8HU9vZ9zPQQ2cj0VPms9Vc5nPcaScD0V/Hg9ItV6Pa+ofz1PAZE9Ub6NPZvZgz04Eng9gDFrPfsQbj1sCGc9FWF5PV7ZlT1z+o89rRaQPXp5kD1UMog9ynN/PWLngT30RIQ9ruSIPd0Nhz2UPoY9GSh7PfVKfD0kWYQ9HZZuPdvQYj1yVmg9dj52PWcYdD2ysno9taKKPWFglD2JEpY9RvOJPdN0gz13i4o9EVeGPZrzgT0WpIE9qlaCPTRmhD2CGYw9+v2IPTT6hz2m5pE9ixmXPQ9SkD3W5Iw9uHuGPe3siD0HqIk9AIqNPTvWij0pzYU9w4OIPfO/hD3fD4c9C46bPQ2PpT38hqE9fciQPeRQhT1e1Xw9wHt+PSJffj3UIoE9B8qAPYzzeD2kR3M9q3CDPYK0jT2uGow9oJWVPafymj0tiYo9lsNrPSrIXT3Pc2o9f951Pe64bT3ca1g9Z+5KPZZ5Rz3ARVM9XOZqPQGNcD2vQWY9dg1yPZ+8YD2h7ms9CHFtPU5DYj2PYGQ9EdRtPaNxdj0DuXE9HtpoPeeiYD1oRFg9nclqPfWZeT1s4249WBdqPWtacT3TvYc9+AaRPW2qiz2SUo89WpKLPUpLhD0naXM9dr11Pfvijj0P6JQ957+XPbR3mT1G1Jw9hI6ePWAvlz1dlZo9jKKlPVO3qj3Cn6c9NGaGPdsCgz3NI40948+WPSSxkz2ufKI9P7iePe3Enj37B6U99c6ZPfLmjz3QNo89aCSSPf4Ejj0rlpU9VMWYPTKnmz0Hs6E9+celPWWBoD2OxqA9cJ6cPRh9mD2i8Jc9H0OgPUnpmz3nRI89ky2NPRHskz2BKJg9+uWlPd4qoj3fZ5s9TaenPZkHnD07rJs9t/GdPQKZnT36B6k9f8auPau4tD31WrQ9L+iuPdu3oz0Q9ZQ9vxyXPRHQrz39j7Q95C++PRPYtz3kPas9TbehPQHDnz18KqY9wwS3PWvOsj02+qY9POyiPbFBpD1tDao9HZ28PTkkwD2KQas9VuqTPfrzhj1Xc4U9lNKBPUb9fj03aIA9iOqOPX+xmj1OW5s9fHKgPTLNoz1f7qw9ZD2gPcKKlD0bPI49vgSAPU9mbD0mtm492ZeJPQmNlz3+Dpc9Y0GbPcWYnT2iR589mxC4PcV+tj311bU93US1PYWzqj19hZg9EV+WPa1dhj31j3s9N+huPQcTej0Pl4c9SBmHPSJ3kj0Dq6A9H22sPWZkpz2C8qA9WrKcPXaMkz15D5M9vZaZPQFAnD1l2pw9AtqePc1WoD2NiZ09D6KWPcJAkj1IWX492RWDPcdckz1B/pk9CwqlPdpWoT2xxpI9twd7Pdq1dD0wFXE9c7dzPeyQhz239489FQWOPXAGhj0FM4A9VziFPSWphj08EII96KKMPf+Ukz3hvZQ9C9+QPZPElj3L/pU93t+WPTDGkD00sY491N+TPR5uqz3Paac9fDOUPZlfdj24bGc9yylkPemybz3ixHw9rwCGPYjyhj2DOoU9Vft7Pa69eD3FO3Y9pFtjPbBfaz3R+Hc96raBPWnNij2jnJM9WB6NPaDNhT3vxYQ9b9yFPYhGjD2UX4893uyEPdddVz3wkkU951ZFPR95Sj0gZko919NFPQ3CPT193jw9MwxBPQJZXj0EYXY9beduPRTCZz0or2c9+EhmPYaOdT0wh4A9rqFxPcG8YT1lRl49HkNUPWJgTz2Fw009EYdGPfEaUj1YGlc9vmZQPcU5MT2d+iM9+r8iPVOBIT3uuSE9YPwsPbnaKD3Erh49GE4bPVr9Oz0g8jg9N28lPf3DCz3+qgQ9UHUNPQunAj07Xe08NqnXPFNU2zwnvc08Yri7POUCsDwKN6w8vbukPPN8pDwMiKY8YTasPPGRuTzTXb482cC/PLUJvDwc7LE8wtmpPLl7oDxOH6k83fKpPF2BpTwIgqU8/fq0PPsErjz3jLA8lGauPALHqzyslq080YqyPOBmszy9fbM8nCmuPDLPojwWwKc8W9+wPMQEtjzW8rc8Qbm7PIS0uTxFPrg8A5mwPCJmwzxnV8U85nPHPG3a4TwU2OE87s7RPOer3jweN+Q8DFD3PAexFz0RCDo92JhbPZjg6T1l5849e8+4PX1B5D3B+qI9IW67PaYY+z1sTwo+WIwTPmtFHz5icxM+EPMQPs6ZFj4ckBw+wHAYPuymDT7VMww+318SPqZBCT78NAU+gF0MPgQJED4zAhM+bx4cPt9RGz5iuw4+HrENPguWED7kdBg+gusePpHiGj6ClRc+fzMcPlNvGD5lHws+/+QoPvyqLj7u7Ss+NBAfPnBYIj77ziw+O8U+PhBUMD4XqSY+uC8SPmgQGz5ecSY+HjU5PuocPD5zmzA+tRkwPu9dPz4olTI++MIaPqesLj4qkj8+QaNBPsw6ST6U1Do+Gk46PiYFLz5EUzA+38gyPrTxMT7ioyA+0F0xPlJRQj6BZUA+zoZAPqv5KD632iY+1b07Pp7GLj503Ck+fDIsPoPBOj51tEE+aOl3PmxdaD6fBjI+N9soPrwrHz6X9h8+i0c8PmYvgT69wng+sSNQPv1RJz7RXSY+VzgnPnb8Hj6yiyM+NOInPksAMj4Y3DI+eC89PtXLNj47AD0+PPQ/PlrNPz5edSo+U18lPvUKLz5UxS8+fakvPtmoMT7YJx8+5hQrPgedKz62vzs+SrlBPrEvSz4d6VI+abhCPiuHQD4VLUE+eXE9Po4zMT41ejs+xMQ0PkanIT6dRRw+QkEePplFMD45uTM+naEwPm8OLT5QKSc+rQMmPqCEIj5ZoSE+h24gPuEiHj7EFSA+Tj0hPlR1Iz59yh8+FhkiPgCuMT5quCc+KpUiPny/Hj4NGjU+SGMoPqdlID5egio+CyssPhyLMj6ToUI+zNs9PkHoOT4ytzQ+m7U2Prl5QD5pGUw+SVhJPmqoST5W9zA+gJU3PixCOj7ntxo+kpEzPqHsSD4WYDo+7wc6PpQ8NT7ZSy0+sKUpPuimIT4OqTE+t3BBPmaESz4g9Ek+ckZhPkvhRD7MSS4+qaQoPgkZKz5vGik+o20ePspbEz4dQR8+5U8fPtHpHz5cViM+hw8xPmqSLz4SRis+8CwpPvwIIz4fWB8+MGUkPsIXKD4aEyc+QeYnPu9aKT46ATk+8qg5PmwiMj4p5yY+5dMyPrZWKj40pxo+t2oZPu/vKD5fLDM+VCcoPqneRj4UumA+zdUwPntvKj6/R0E+LA1FPl2fTD4xJ00+a/0xPiwoLT466UI+42xJPnJ/Uz4aKVo+4TJSPgAxOj750Dw+RIlUPojITD7hUzk+DYM1PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8z+IU9B/yDPSTOlj1FeKQ91iSdPZelkz19so89KUWJPU3oiD0IyYI9XeV/PSWYbj016l892WBbPSX8XT2m4WI9bgphPQ27Xz2VF1Y9/jJVPajgWj0reUI9ieg9PRudTT2a5lY9hwpYPVnvVz3HOmk9eDRqPW5gZT2ZRGs902tqPTHBbj2a7nE9ZhhsPVSvej0V64U9UTKGPTV7jD0RQIs9u/yFPXHBhD3rxoQ9HpaGPR5mgT2JCHE9or5vPZUFfD2wfoI9vbqEPZehjj1JnZs90fmdPbv1hj1MxYo9sW6HPVxSgj3V1HI9BQpdPZYpcj14KHg9uMpzPVnXfD23UYY9oEOIPZWujT3DPIc9a/6HPRBDhz2aB4I9JdxyPRMghj2ISI89Yx6OPZ2fkz0KRJY94CGJPU7heD1cHXo9Mhp8PUrwez2tUoU99WCPPdUbhj3rJ389V1h8PXlrej0hYXY9omJyPZBDbT2arWI9sfpwPQXJiD3HaIs9XjiWPX6Wjj1pH4Y9SUCBPf95gT1SHYk9OMCMPS7yhj0JyI89OLOQPdtYkz0xiZA9VTGYPYBVlj3LTpo9Lb2iPY0umj3nEIQ9Jc+CPZLIgT0K7YA97W+FPf/Skz3OXKI9xBqMPSBqjz2yn5M9kv+VPT3rpz3z9549IcGMPadzdT3hlmg9tjtnPcLIhT3mc4M9XDp8Pdv5iD1z04Y9kpCHPSHXiz25GYI9SpCAPQHUhT0BN4o9BLWOPZ25iD2t7n490PtoPRvSUT3TPUk9/UJBPZKtTz2eEGE9DFJZPfJyWj2mtFQ9ywpOPXMnaz3lA3o9RoV9PTZAez3SC3A9T8RvPaxuYT0ZqWo9gbt6PWZgej2keG09ozhnPdwQez3RGIA9uIOHPVZ9hD1vL4I9S5mDPYzkhj2iiY0904qCPasxdj096Wg9DfNnPUlrgT1qlIw9icGdPY5Vrj13cq89BISsPYVLkT3rdZQ9Kq6aPWqWnT19JKM9iCeiPRUzjz18nYg9Zg+RPeh+mz1Z1pE95LSPPd9DlT2wBZs91HSTPbl6iz0dVo49sQWRPUofmz3JiJM9d3yfPc1LrT0MPKI97aqfPYppmz03d5w9gKKnPUhrpz191ps98CebPTJ9nT268Zs9y5KQPZbRiz1v74s9XcqOPVKgmD1vCZw9r3unPUiXpz2bcag9KcqpPZw4oT1A5Zk9q4agPfZprz1txsI94STEPQsAxz1CTrU9uOuiPYWinj2H4p89UT6nPfKYqz12VZ49NBGZPS20lD2uf449tWGWPe2bqT33HKM9KKeMPSXMhz1eVZI9nmacPbS9sz3n5Kk9No6UPb2ifz2JKXQ9hbZxPaaVdj1WRYQ9C6SKPRwilD23g5I9ZWOSPVdSnz1aAqo9k+OmPaNbjD0N+II9hsh5PXBRdj271HU9+PyDPXvXkz1NtZk9TK6hPX9krT17BLs9a5PGPRbIxD0MOrs9mKuwPenNpT2EXag95sKWPaOTlD1KLIU94kVzPR0ydz19i4o9sXqPPeqYjT2oRJU9MIWdPWIUpT1PQ6U9HBGhPZ79nD3H+5g9ePShPcTlsD2O2bQ9XMWkPcRjlz3bxow9Lv2JPc7Qgz2DoYQ9ImSQPSOQjT3m54Y9KlWHPccNjD3p5IY9rRKCPa7Hdj2IG349C/iEPVv8hz1yGIs9d0CNPR2biD11m489eXSPPTubjz0cPIY9NK+GPZIDkT1rZZY9drGXPXBjlj1y1Jc9KmScPShboD3E36M94BajPbz9nT0OUaE9im+jPf67jD0sgHE9sEFiPVB2Wz2nfmc9+1WGPchxhz0oVYA9ayh3PcYkbj0EqHo93M5/PSm5cj0S9Hc94Nl7PQ4ihj1hmZE9XZKVPfGcjj1yvIA91t13PYpCcj2zdoA910R6PdUWbT3X7lY9oyFMPYfkUT3b9Vo9SZRfPaKgWT3YFUc94a0/PRrKTD0Bt2k9GzNpPUnCaD0ceGc93iRxPRUDej3p+ok9cC+OPVushD1FxXE9pj5rPYh2Zz1oO2Y9uQBsPex1WD0O20k9jMI/PelWQT2qBDc9SnM0PbxKQD2Hcj49nck9PdlCQD2w0SE9QHkZPc+oJz0oCyk9hgALPTEiCT3rJQo9a6UNPU7+BD1TQuA8i2m8POBqujxGkrU87C6xPNmeuDzHQLQ8vcWvPLvQrTxn+qk8EVWtPPiPwTy8pLg8a0+yPHiusTwZg648wlyqPATbpjwOGqQ8og2nPDiZpjyaEa08GmvOPC4PwDz2zbA82mi/PLeZtTxHnqk8p3eqPEEypTw8hqc8oX+xPMperTy39J48e06aPKanpzwrKrA8rzW/PFOOvjwh+ro8xiq6PI/rsjxNobw887zMPNH2yjxI4Mw89VjkPHtk7jy57O082Rz+PDykBz1MjTo9zzGgPU+nnD2aHYQ9BM8lPc7LCj05kNQ8EKrWPJ+R5zx+/Sw9k7OJPS6Uuz2LjQg+7nkTPpB4GD7X1Cg+q+gpPqcfHD7vYBE+dAkSPkdfED7XgQ0+hloPPt8nET7ofhc+z88UPj4rFz48Kh0+oSYTPjRkFD5I3BY+moIXPsRzGD6hmx0+htYdPktCGj7JvhQ+/4oQPiKfIz6fhiQ+CMwiPr50IT4isiM+vY03Psw2RT6Umi8+FmYhPsnLGD7CbCI+IOMuPiSeLz4nTjY+ATFBPrdVOz5QyTk+CU9EPickHD70OzY+QbRJPn+2Tj44Tk0+QIVDPg2mPT5uHzE+xqA3PrFhOj7NLiw+ClowPuluKz7hlS8+Bfs0Pr0iND6HYjI+Gc0vPmV5Gz5Qaxg+vZgnPvMjLj4N2Uk+M8FJPuP5cj7mRVw+1QgwPkVOLz5DOB4+gq8cPmQUGz5shyo+brgwPpB/Kz4bjSk+rD5HPmYAPT7NZSc+rAMmPuecKT7qiT0+rnk/Pq54Oj7IOD0++e5HPv2xSj72UDo+4xozPvd2Oj6jdTI+mI4lPrYFIz4wjh8+DIsfPj+DIT4LszI+qMxFPnmbSj4QJFw+6CFYPk9WMj4k10U+GpxOPtEdSD4FpSs+iDhJPo1UTT6d/C8+ru8oPkXVKT4AyDY+3OFxPpgUij6DLVU+SEghPh7mGD7cQRE+R4sYPhMKID74qB0+vl0qPjdJKz5t+yU+IiIhPv3eIT6puCs+acIoPoQ9KT4ATyo+PaYpPmeIFz4/shU+t5QfPnDQMD604zQ+NfU+PvzTOT5cPiU+7EYlPogAKj7bqzI+M0JHPqAkPT6K+SE+yaJMPkCzdT7if1w+o2EuPl/KQj6v/ls+kmc+PhD8KT7xoSI+abQdPq3IGz6PWhc+pTgfPm/THj7doyU+gVUrPisMJD7+ESQ+FBgsPixIIj6v3SA+kh0gPl8KIz413iQ+8v4XPs0SGz5ukiU+9Gw1PhkiPD56aTw+6s8zPjsUKD56mCg+4AstPqX6Lz4cty4+mv0sPqmYJD6FJyw+SUZBPmIPSz56Yzc+OvgoPsvLJz5nxik+ptsbPjWlFT5Fejk+KaOvPlOfOT8BVh4/8syVPnU2YD6GPlA+yMVjPnNkbj7QSWU+vJZQPvaCKT7KJCo+AH9KPi1PQz4J700+XmhgPs0vPj40y0M+NbJYPr+IXT7Wt0A+ykkePsDjCT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/tvqKPewGij3Byoo9bYWXPUwClT2424g9W4yAPYxLfT0V3W49jG9uPQaCZz2D/0w9LG5TPdIOUj0eVlA9fB9TPQ+zTz0w5lw9djlzPbJObj2tm2o9x5pgPaffTz2CMEs9FMtJPSp4Tz2oHWA9iHJoPXe9Yj31EGk9+a5pPcn5Zz13eWI9QBpnPXISeT2SX4c9vkSJPcAqiT18/Yc9nMJ5PXK+hT1MiY89cX2PPV2fiD0Nbm49xn1gPWxkdT3KcY09eb2VPbbblT1zwIw9vuyHPdjmaT3Bams9DtNSPU8xUT1v6Vk95VVtPdMSfj3xwo09xnuHPRbXhj33LY496lmNPfFnhT2ZWoM9psd/PWm/bT1XA2U9Ts5nPRRQjT1FU5o9jZKQPYr+lD2SNpU9j8ugPSzVij3Em4I9bYx0Pe+Xbj0/xH89eIKVPQ0SiT0K3oA9Yy2FPVLPhz2ox449YRmCPa0Wdz0BB3c9/jZ6Pd0Jgj03nIg94cJ/PXQdhD2OY4k9DkqIPaSWij2/84o9F1ySPS5ojD30L5A9oIWYPRjPlT16aZM97KyRPdsvmj1FNZI9VYCRPX4Cjz14fYE9G1VrPUnBiD1NmZ09yZmWPSvUjT2G2Yc9+qaPPcprlj1ZvJM97BqXPdvKlz3rXZA9JOCIPd69ej3SsH49rhuNPRTUlT2DX4U9K/x1PVy6iD1Be589f9WaPYclkT0xHIk9hO6KPSvXjz2KcYw9vQqBPU7DfD00aXg96INlPYCpWD3jW1g9VBxhPfG/Yz0sf1s9F9FcPT3pWD1lD1s9GdBdPXYDYT3l2HA985F3PewiZD1YUGI9A8tmPYELZz3iVXA9G1V+PbBfkD20r489bNZ0PUtXaT22V3s9Ji6JPbzMjD0H34Q9YoOEPavthD2NnXY9X0V0PVB9Wj0nwFk9wMJxPXEIdj3Hb3s9bM5+PTXUlD2xI5c9LBt4PTYdaz3O0XA9Zsl8Pa6RgD1FKI89gk+ZPQsAmT32JZQ9aoSPPYbnlT2DKZw9DbWgPW/dkj1rv5Q9UT6dPUJ9nz20n509gT+kPalFpT1j46c9MQubPYRQnD1OJqk9/JG4PbIKtz3+/bE9LAWtPeg7rT1kRqU9ySmYPWbHoT33IqY9eGqkPexDlj2hao49u2mWPYnIlz2eX5w9X52kPfnuoj0DPpQ9y5ahPWf/rD0pY6w94IOtPSPurz0vLLg90u64PWI7vj0mabQ9GWWhPXjQmj2trKI9gEuoPcU7pj1boqE9hX6TPW1IkT0Np4k9JmmOPYY0lT15HZY9s6eQPT8miD2XMI49rLOUPctokz0BFY49e8GFPRToiz1b4YU9LPWCPcmQhT0HIoU9ZPeQPdWGjT2YIo89bseDPcKohD3uDZQ9HJWnPYQAlj3ofIA9Lr1vPaOsbT3X8XA9aB+DPdBwjz0dGKg9jTWtPdhwrz3tE7E9kYS7PdMDwT2YYLM9YDevPXuBqD1ezZY9pWiJPekciD0PhIQ9xoKEPb+pgz2tzYs9LTiWPYBhlz3CqJU9SsuPPWS2kT24Zpg94W+YPbF9nD3uOqE99zeVPYOJjD0W6oo9HgaNPQEXhD3Ynn09gqB3PRe6Zz3Gw289/RuSPZfrmD0vBZg9kUyZPXzfnz2IGpQ9qTZ+PdSAhj2ic4M9loCMPeSmkT1umYw9j1GDPSKshz2afp49uA2tPUPipD2lBJw9vUqEPU4chz0IaoE9JTKBPXs3iz0Ze5E9DkiTPbjklT0OH5496I+vPVY1rD3JU6M9F5WQPTbVjD1LTo093POBPV3yej1U+nU9IIqHPSbGgT1D5HU9EgJiPerNaD3Qzm09EyR9PW+sej0adII9o8GGPUvsiD3fGYo9qu6APUQBYz0v/VU9ipZlPRrkcT0Ne3Q944aAPTchgz0FAYs9/I2LPaCFfj0/j3k90Xx4PXs/dj0yEWU9yW1kPTg5ZD2ckGQ964hrPc+Ubj370m096MlpPeW/cT0h6XE90dBqPUTwbD32zG89b9V2PVfiez3UxXw9zgV/PXi4gD3+X2c9fc0/Pe0NPj1n60A9lN5KPTwATD3Yekg9v4ZMPTZaUj0YZU89lHk5PU7AIT009xY9ZrYOPYXZDD01qhA9IFQbPcmMDz2tjt88umWuPJEWszx8Vro8a2XLPNLvvjw/I7k8cGm8PEjIyDyEOcg8tVXFPBkZtzwrIro8mSyvPB8lnDxfZKU8Vcm+PJ4axDwxFqo8F3SePA1sqTwaFK08vvysPGr2wDxESck8vnCnPK6gtjwydbM8J5S1PEH1tTw6W6Y8s/KlPGWIvDy7s7Q8IxmcPOHtlzzk7aM86PasPJSKsjxsvqo8eimpPDNjtTzOd7081byuPFQvszxtfbo8chK4PK2utzzc79E8AAXpPPtWAj1iWAE9uBoJPT9aQj29eDY9+lcFPQsP8jx9res8pZzuPFa97jx/iuk8VdvyPE6AEz3Zcis92rddPaMxzj2oKyU+hzEkPkhZHT4Cpxc+rwMRPsAZDz4XLx8+NeMgPuJKHD5pIBg+W60XPlH3Ez4/bRM+xEcfPutYGT5kWxs+kTEcPgpKFz5SxBY+PwYkPhr5Lz5lFCs+Lm8aPjgUFD6auDQ+UWQkPvBSID4zhCU+FoIbPkmkJD7xiy8+nao6PhBcQD4qkD8+HbtCPsF9Mz5nUSU+vNozPoa9Nj5SojM+rrQ1PvoHOj4BbjQ+9lczPigOKD4bbyU+oF5APlaVOj4hqzw+0HkyPsq1JD7VnSM+3JkgPj25LD7OuzI+OUczPs56Kz4MNik+X0ZSPpe3PT6tIBc+9wUaPoN/Kj6mAy8+YKw6PkKySz7R3WI+xdM+PkmmNT4YZTg+T4Q2Pp5IKz7W/iI+ivIXPr/fJT7Rei8+S0pIPjdMTT4joEE+vKIaPhkVGj61zCQ+0fJJPsxOZj6A+lg+fs89PtLJQT5BGT0+X6kjPp3cJj4+BjY+WhIxPrlAGT52GxI+XYwrPt0wIz5m4Sk+rCBDPsepRT4wMEY+IFVUPkBZaD7bh0Q+GNgnPovQLj5ldjA+dNE+PprBcj5o+XY+kRA/PgUEKj6iwSA+QCImPsxphD5vY6s+2nhnPupbGT51rRI+Q0cYPvurKD72CCs+FQE4PmqaNT6T9R8+vKkdPmaAGj6B0SY+sWEwPq2eKT4bbCs+NSswPvkjQz50RjA+WrYPPuivDz5OVD8+S9pEPuLZPD6J3C4+z9UxPq49KT66HTA+RKkyPoTHPT4AYzs+0rY+PnzeQT4pLTU+njE5Pv1cOz6HNy4+ShRHPoMZQT7CATc+SqIxPqETMD5/wzQ+rbUTPnZkBD6W6vo9ERAKPmMUFT6ZZRI++AoiPpGAIz6N9R0+mS0dPgJLHj6svCQ+ovo8Pj/kJD5K8Q4+AtIePjIVMj72RjQ+1t0tPtzdND4rQDM+HMw6Pn5/Pz5PzDI+MrE1Pv9rMD6nVDI+A8ErPvfgDz5M/xI+Zt6wPTL0hz2+c2k9U9SBPXwBej3UxGM922qrPWkRAj8mGrI/ibKRP8f0vj6hwkQ+FopQPtOEbz4nV3w+R9NpPrZpbz6tWEo+j1RWPpL/aT4Q1jY+oPw7Plr/Tz7Ytlk+Ke5nPtZpSj75OSI+0JvZPWmzPD1rUbw8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9Cykz1kqYc9Oop9PdHIhD2l6os9rbaNPWC5ij01goo9PRKIPQLsZj3QuEw9v75CPevENj3yOkU9Z/ZYPYgycT241Hk9y9Z9PRfiYD19UVQ9Xa9ZPfGsWj0PMU491BtJPQKZWj1EM2A9Q6VYPUdQUz36eGU96fVnPT5wcj2feX89Ghp+PVGkgj1giZs9Y2OPPXeUhj1NXYk9tpWBPelucD3KWYg9hHeMPUC8gj2jz3A96OFoPcTBZj0AQX09+WmIPRg8jT2yP5E9m1qQPSWBgT2MvWg9WD1bPXr1Vj3ORGI9s6x5Pc4Giz12/KY90Z2jPculiT3xVYo908KCPXswej0ND4Q9TTxyPWsbbj2xP2s9SWxvPcn6iD3WApI9O1yJPVz8kz1dWpo9/KOTPYRbhj2aaIc90TqKPfUQhz29C4c9rI2OPUVniz1QHXM9g8J5PbNVdD28NWI91CRoPYKogT3l7Yg9EbmMPcZUlj3f4Zo9LvCWPR64iD3JMZA9eVWIPaRajT2EgpU9GhGVPb1Jij2Tcns9JbpwPTmMfj2s5YU9cjeSPYWwmj2D27A9WSObPc5fhz3KrYM9boOJPbDQjj2YbJ09jq6XPXwEkj2LkJA9wUeUPdCLmT1O9Jc9EjiYPU/Wlj2925M9DDiNPX3ZlT0bMns9qlNtPbI4gz3veI49yQKTPf48jz2Gc4A9YCF9PV3/iD1zNYo9uKyLPXAMdz0MnYs9712QPXcqiD1oAYE9owZzPYSeZT2sDGw9i+J1PdQKaz0RPWI9MapePTbJZj2rRno9kFNkPXs/UT0dPnU9Mjx8Pc/Daz2uSls9VcJhPZT5hj0woIY9oomCPWD4Yj0D2mQ9bwpYPdBSXz2aXns9T7Z/PVoygj0EbIA9tDV6PR/Agz32L4M9SEqCPZDlez0CFW098r52PfnSmD1s2Jc9RpmWPQiPmD2CNrE9XyapPeMKiz2XUYA9ChiCPTYLiT37uX49g5N/PVuihD28JZc9d6ybPQf3nT0UO409yJyMPeCFiz2KxJQ9eqeVPQHEmD36HZc9WPOSPSx+jj3Ecpw9A6CYPW+NlT3D4aI9FHKfPR5Soz1x3aU9SISkPYttmT1itI49oi+YPQszlT11O5o9pcmbPS5vmz3aApg9iUqYPZnYoz36Ypo9q0eZPXVpmD1LJJo9iHqvPaETtD03QqQ9RH6pPa+msD14C6Y9bcGoPShetD01t7I9s2y0PXDOsz04z6k9iT2qPXvasD2zhqQ9eaWsPSLDrT2/0589apybPdZgmD1is5A9tc2OPfw0lz3pDZo94fCQPbtljj0bioc9nmuEPQZmgT3SLIQ93paIPVZHeD0ZzIQ99XWLPd4Jkz3IyJE9UtKGPcoKkT33qZk9mSSdPVa7lT3gRIg9DZR0PX0KfD1FF389DG+GPUe5lT3o9Js9bIKYPcuzmT3SV5E9/yuTPXcnkz0dBqc9RgewPaRhsD3JFaM9N9eUPfJPhj3QS4A94f2HPbMBkz2vSpM9zY2XPXUAlj33n4o9c1iPPaGAlD36Xpc97PecPXRlmz1vAZw9fIOHPfBwfT2MZHs9PIJ9PZ4khT231I49LZmMPYLfgj0Nmog98kSPPVSAnD1xsqY9YYWfPac3jz1PSIg9SWeCPU01gz1svn89P9B9PVBEfT1OW4E9BwOCPfXYjD2WppY94WeUPQ3pjD11cY09Sp6NPRpGgD1JfHo9cmNoPZnQcD1Z8oU9T3eIPd0yiD2n1JE9tb2dPaS1mj16NYM9mZV0PftobD01CoE9Jxh2PT08gz18GI09A0yOPXLqgj1KGWs9/NZgPYZdZj0icXE9daR1PTIJiD360Y89Z76SPaNGiT0fP3Q9cgVuPU6obD37+2Y9lpZpPdeYgz15xp0996yjPcUVpj23PJI98JaEPX6jhj3jxIw9W0yPPXcqlT27eIg9Ck52PaE6dj2yjYE9ibeBPYoNcj1T+WQ9cAhpPds5dD2uuHM9SaFyPTbLaj3vXmI9GgJ3PeAgiz1YPYs9S4CKPRiajT2oi5M9pxKEPX7pZD1my2g9wh9fPTj3WD1j0lE9BbVNPT3BTD2L40c9tew+PZFwND00sCQ98KUYPRnMET15Uhk9GWsfPZfUIT0KYxA9hdLwPOhowjxjgMA8qmrBPCCkvzwMLr0858y0PJgFtTzU3Mo81QvFPP3BujwoVq48gYe9PEk9wDyJKsA8gUrFPDS6wjxVsr08VYStPFO6qDxcv608xg64PPGpvjxTWrw8mKe4PMwhqjw8Upk8mPyZPKAFpDwny608BVa5PIBhuzyBjrE8zayzPDwOrjxQGK08IoiwPFx3qDwCKK88f/+vPBk8rjyLHbQ8T+O9PJKRvTz6NL48Hi+/PG7cxDzOD8g8V27QPNKZ3Dyn4uA8h9nnPBBD9DxWJ/U8qIP6PHZsAD1fAPM8UrrlPCn64TzuQ/M8AJAJPdINBj3NSdc8ta3MPI9iEz255Vw9/5ziPZkxIT49bxc+5BgfPnzPEz4mcxA+SgQbPhhSFz7XrSE+kx4oPlSVIT7wLBs+fEghPkQCHj54TxI+LnsQPhrNEj6cfxU+IqAePpd+GD47BCU+maQqPrO4KT5ZFgs+PiUgPkciOj5Dcx4+RSkJPmn0Az5nijg++bA6PsRIPT48vj8+MrU+PohMSD5xp04+ivAvPtbFMT54hzw+iwc1PiMDND7VaSs+NIQ5PlhwOD5UbSw+z/4kPhDRIT5yvSs+jV8lPnf+Lz7muTw+fcgxPrhtLD6pTio+8qQnPj8pJz52gSU+7l4xPn9hSj5jfks+c/8yPqnYLz4fRDk+CzQvPokrJz6HBy4+madPPrrHQj7qQBw+m6AYPqRKKD6acDM+1Fk0PuFwGz6H3h8+u0Y/PphIQz4vTDo+3YAwPpvmHD7S40Y+VuWLPnR2iD49eTc+rStHPstBUz7yt0o+Hb0gPtCNHD4e9R8+EZcqPlGzQj47sz4+S8gLPi4eDz4hLE8+lP50PnKeVz7xv0Q+PjlcPn+yXT6ReEU+w6crPktfMj5f7SI+gQ0aPkF2Gz6tRCU+I048Pn/1WD7S2mE+rGp1PiFmdT7qp4U+0V6TPo3qbz6r+iw+/VkhPigUIT5vKSI+GpIwPl6OQj7D5S8+ulEWPqZcEj7HwxA+WVkjPn5UNT5mzDo+2k4zPj61MT7D4mQ+UFRhPvkUHj6C6xE+Lwk3PvFlOD6zsC0+hsIiPnmtQD76uz0+SzZBPn3BOz6HRTY+MzNAPlM2WT6+JE8+gcA6Pl5wNT6bCTY+vmlCPmgSTj4ISC4+c1QaPmjoED6NMQo+f10oPhBoHD6MXws+jVUMPmRpGD7IFyM+xCU1PiuGNT6egCc+Zv8ZPm7qHT6gjyU+xJE2Prv3Rz6HWCo+ZAcbPg/yHT65kSk+MvcpPqOwGD51aDY+qH5mPskxUj43EQQ+wJKhPSPghT21T2Q9PLCAPSqYjT2gDoM9R4QQPbZHlzx/EKo8Bb6zPBlxwzxcP9U86mPsPMAp+Dzt2QE9OO4JPfW7Iz11rY09tmn0PToIrz5AdLE+UqxXPvfBVj6Smko+Q1wuPlVGPD6kZVA+9i0pPg1YDj7o4qw9tDAbPZ+Euzwdm588ivuWPNSclTwwKKs8/5a8PAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/LyJE9H76HPTlxhD191IM92ouGPZ99eT1yc4I961ZuPRB7Zz1o3Fw9EB1jPa44Tz0evVA9ToFRPSopVj3hU2U9L1xkPdA4Uz33elU9FCJLPZRDTD2n4Uw9i/9RPWMDaz1xJ3M9BaZaPcEgVT1lrmA9tFFwPUF/cT22O3M9CMBnPU0YYj34uG099SOFPaohiz1sBnU9pEB6PdK9gD13/4M9/8CIPdCUjD17dJI9qeWPPclIij2pqIA9L9+FPQfsgj0ISXw95C14PahmcD3P72o9QpRwPUrFcD33FXY9qNp2Pekpaz25eWU9rGhyPR7mjD3yt4E9uGBiPWnGZz0vUHo9BbZ8PV9pez36S4A9RrWBPVd3gj2dv4U9zvKEPfwykT0tepI9almZParimT0lOpc9jXSUPRSxhD3deoM9ARqLPUbHhj1TlmI9DGlgPeeMgj3xJIs9reSIPR5YiD0zG4s9f4eUPWZKqD34y5Y9tAWEPajCfT1kVXw9ZpOZPeJUjD3MXYA9q9l/Pc24fj0JmXU9Fgd9PWw2ij1WwJQ9WCqiPfrVoz2Xmq49KfqlPTnJjD1vqo096dKQPValjz3gA5w92OSqPVnooD3rmJI9lMiYPV6imz2fS5U9qEONPXuNhT0vZYQ9fJyKPU1djD38/4M9YlGJPSr5iD2XN4s91j2HPS3VhD2+TIQ9vl5/PW73eT2RbHY9OgmDPVYghj3f7po9p4uWPWxhiz1Y1Ho90DxnPceyZT1S8Xw9psB5PfY4iD0oFn49zJ90PXlqdT34X2g9XiNiPdsJdT3wp3M9HZNfPZUtWj0e2ko9h+5OPfsuYD1rsm89zcxUPUgNTj019Uc9wKtJPWlsVD1FLG098m6FPQ9khz3gCYY97e2APc1AfT3yKIc9EaqLPXfaiz1w2I49SAeWPfV9nD2TBKM9lveUPU+9jD3fjIc9lYF8PdWKgj0dmYE9IPVqPbtXaj0iKXg9Ebt6PUA3gj1qvIs9NXmRPTPCmj2KZKI9NNOiPRlEjz2yvYo9Bi6PPWmRij0ktI09pUGXPbg+mz1obZw9+L+aPbiwnz1HLaQ9ly6nPYJHoj0i2aM9UR6bPSzRlD1xmJE9ekGUPWb1kD0AmYs9OmWNPXsPij3x0Iw9GZiUPVLdmT3FdZo9iaqRPbkCjT1xepM9GpqdPYFKlz3Sl5Y9Bp+qPZxzpT2rxJ092FimPYE/rD1MFa89h2jAPYZqvD0F4a89M/WiPYSOmz0E7po9flCpPR2Voz3Pbag9rb6lPd0voD2aqIw9vDeJPVE7kj0P1ps9iwOePaWqlj2akok9aJ+EPSHafT0bpII9c22HPfCNkj2cJ5E9s+KLPQdhij0qfos9ZnCNPatjkD0Bkpk9vhqUPYbniz0A/4A9UIlqPVnSeD2Uqow9pBKKPWKNjT2aRZY9Ry2hPXYjrT19G6g9NBulPVlaoT2gJJ49K9mfPb0TpT3ye50931KQPYPdjz3o/Is9lcCLPVFgmD1PuJQ9m4aKPYA0iT3sb409wT6YPbDtnT1LxZg9D3SRPSbfjT3zUpA9I6CPPRcGkj0qe5I9cfORPQ8klD0WF5E9w9uHPTEIhj3+mow9gq+UPVmHmD1kAKI94WGJPUf6dT0pdGg9PmN9PVYDgz1Qx5A9D9aSPcjYhj2BOHk9asdzPbu+eD1OqYg9N0eMPRfTkj0f/JM9pvyOPZ9xjj1oFow9wsx9PZehdz1yVoQ9LZmWPTwgoT1fqaY9/z6jPW41lj3MtIw9SS58PWiEeT3rgns9aR9wPRC1ez05mIE9iaWEPTf9jD1JL5A90GeIPa17bT2a2Gg9cYt6PQnGhj39io49kr2HPf92dj2hU2E9O1RVPUW/Wz1yYGE9VkNoPbllfT3IZ489PJalPdSEpD12Vp89d0uOPeLCjD3T1YA9hkuCPXbFhD3cx4Y9XWGFPdFJdD37LXw9sSeAPcyggD3/K4M9Af6DPXKzbj32+Wk90PdjPQqGaz3vWm89aDh6PSYnfj291oQ93deJPbfAjT2Lho09/JSOPVtkjj0m3H89RwpwPQkxXj36jmI9/8VsPeM8dT25DoQ9TWVzPRfGWD1bAlg9e3RRPed4Oj2PCyo96L0cPW/EEj13NBA9wAkBPRFJ/Dybv9w8IgrFPKJV0Dxldcc8AuyrPJP9nDyRAK08J+W+PE69wTzVTr08rMasPF3xrDyJBLI8KAOvPBQToTwS1aM89omkPABDojy5caw8WSSsPB7oqjz9SK481ZuuPEzWrTzfgrA88QuqPOM0qzzs4LI8V128PLkGrzzm0688hkWhPCVGnDz9w6o8Sgu4PK6Zszygibo8Ok7DPJYAyzz3JMk8ASPCPCSZyzzcMcw8q86+PB0Wwjz73Ms8Z+LSPFj15jzTcd08wt/jPF6rAD0oZQI9A1XxPHei7jySOec84RDePOiJ2Tzt/do8WjrwPLh3CT0RYA49ec8EPYRRBT1dVxc94/A1PQi/bT2wWA0+K9omPp05Ij41+x4+GQsVPnZuKT5Bgiw+pBocPjEdFj7AERU+OXkdPhNCGj53rxg+FzEPPip+DD42OBk+nAYlPkPNMj6kG1U+GJFXPuxoWz4p63Y+mBBZPnzXFj5sMRY+TMQkPtVoOj5mK0A+q5c7PuqmPD7LSy0+QugaPnuIJz4wqy8+0+g6PhuPNT52ok8+cHlMPnKWJz5fPiI+vD4lPoExIz7JMxs+QzoUPuNbDD5rsQk+wsIbPrchHD4qbRc+4Qk4PoyrOz48dzY+spEyPhlbLT4zWxk+aoMgPus+KT5VDis+pPs5PjFpVj4d0Eg+IY0yPp5dJj7AqyA+kKcOPnC7JD6zLzE+cRsjPtScNz794D8+ZfdPPuGRPT7qIjY+KPE6PoMgND5cqDE+i3owPnGlJj7dchk+obMfPvTQLT4HJTE+HuE4PlRDNT5ZuSY+EYQfPmT+JD65NSY+Rz4tPoQpLT4PGjA+6phJPnELcj44yW0+oIJWPnDNYT6+UE8+EjtXPhkTeT6d7IQ+MZVKPmyrOj4i4ys+ZXEfPrKELD7z0TM+FnI5Pj49Nz5WtU0+HLNDPlQscD4BT3Y+z7xxPtXtZj4LlIY+lac9PsXFFT7m3ho+028hPqr1Nj54L00+PtsiPp6sED74IBM+jDkXPlVyED5M8xU+xiosPjS5Jz5HdSU+xSwnPj7vKj6W7xE+EEMdPpwHNz6YVjY+JSUtPr7NHT5riB0+RtwvPmuyQT4wdTc+8HQ5PuwfQz5NRDE+b9BAPrgUPj5FPi8+Ad4qPuSXOD4tDTo+NL0dPtdK7j3xbMs9w1z5PfI0LT74dkI+IW0kPp3aJz7h3To+XQs9PoRFQD6WNjk+26IxPlu4Iz4sqyQ+0W8/Ppe6aj5WhEc+wZVfPlTOHz4mViY+aiMmPvj1LD47eRs+apojPmrUkj2MxbU8chOIPIashTyDt5c8CXmPPF+YnTwKvak8nEmtPFQqvzykTdg8yLrgPIUi2TzQkNU83DTSPIi52TweH+88WLXsPHGw4jyRZNw81gLePCdbHz0feyM+ElFoPpFvOz6iGyo+bEsVPr0L/D3W9OM936qVPU/xDD2UUrM885G6PKMh2jzuhww98nELPRVYFD1naBQ9di0OPRpBCT0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/7k+MPb6IhT2PqIQ9aa+BPVJUej3Dams9465gPThMTT1pzEY95/NJPcFcTz1gxlw9eIZmPRmRaT3MOHE9VR9wPdozXT3JdEA9DPJFPY10SD2vkU49arJXPQvaYz10jHQ9CNp3PVMRYz0fpmc9HLxwPSvNcz0xhnU9GKSFPaDZfz0NN4E9INyBPe3zaz2xi2s94Xl3PTrOfT0pg389zbZ0PePiZT2RnlE9Ux9WPYiDZT3mG2g9DS1jPU7RVz1rhFU90nlTPQNUZj18sG09ib5yPVBqez32SYg9RSOPPZdhij0n5oI9R191PXxogT04EYE9rf9vPd6FcT39nHw9St6APXQgdj16YYY9Ed+RPXMSiT1rMYU99RCIPY+vjj0PZo49gDmJPQpbhz0g7IQ9PR16PZNydT2XzYw99nKIPWJ2hj2XOIU9l1d6PZgFcz0o6YY9mhmLPcfdgj2JfoA9dDuGPboggT3NMnU90JVgPVm3ez02nYY9f7qhPZn9oT0Cboc9+V5qPW4+az2bFXs9mCWMPcsxij2BhIg9RNqYPazioz0PCaI9BySoPQmlkz0qrow9gJaYPTcYnj2q5p092uCjPYJ9oT22JY895TyMPe13kz0Rq5M9+gaGPf/KiD10IIM9aQ6APbSOgz1RFYc9+JKGPXkbiT0r7oo98NiJPWNCgj2lQ4A9R2l9PXo6dz0+gnA9zKVnPbXpgT0Fso09rxySPSuwkD2qS489tPaLPS/Aij10wZU9IEScPXnhkD3caIc9BlB9PW+TcD3jKmA9mZVbPcrAVz3ollk9TChOPcuhVz2QjV897qlYPX0pUT2M2nM9uBCDPZLFaj0Vp089UbtPPfqCVz2DRms98RBwPQuBcj0mbIk9oxCJPQiZjT1Fu409WRuMPYIxkT0qX4s9chqOPUgBlz2Mx5k9RnyXPfBwmz1RM5Y9/g6OPRo1fz0d9IQ9xpGMPSEtij0yF349aC2APfqZgD0Oook9wu+IPfa6kT0AsaE9TCqiPVqtmj0A6oc9BR+LPeBukj1ef5c9Vq6YPWjnnj0YhaM9Zym0PVuarz3Jsqg9iOSfPUQSmD3/4J89MNKvPXjJmD1XCI49flSOPc9zmT30xps9x+CUPZIDij2Q7os9WyeYPQvmpj2Bs6A9uZyiPSI5qT2dJ6M9KrygPQpLmT16i5o9ekKjPfTjoT22MKU9vM+rPcsktT32+LI9OeLBPezUwD0jdqk9+TKhPd/1mz2CYpE9YpuOPdkclz1sNKE9Y4ulPYTXmz3I9o09a9CLPZzejD0tuo49/uaSPThmjz2fbok9AGWPPSCInj0ZEqc99dyiPZs/qD1E45w92JWWPe2Mkj3w8pA9skKVPS5YmT2g15E9yOuLPdwWgz3mwIM9tHmEPUWRgj3JO4Y90v+PPd17lT1+oZs9x3uiPfJhnD3ClZ49ZWafPYZElD3jAZU9GZSZPYqGmj00R5w9PLaUPWFriz0s+4g9tnqNPX5JkD0U+ZU9Uw+cPeMuoD1ZhJ09yw2aPTMJmT1uGpY92SuPPRLUmD2cjZs9xdSaPU/8lz0706Q9nxSiPX1Iiz1bt4E9BLOAPaPZhT1hUYk9RgGXPTCylj0KiIk99haGPdLQaz3QXFk9DG9lPfWIfj0Z8Y49MVOVPZezmD0q7Ik9sIiIPeDakD0SaZQ9eGeVPXxvlD260pk9Yn+XPRgukz2c45E9hGaRPToxiD068JE9V7uZPa1BnT12UZk9zKuXPWD9kz34io09g06PPbNihz0xzoM9tdqDPbD0hj3s/409lz+NPTNCjz0vsI49epONPa19hz1aSn49e4qEPURFjz3vYIw9mJaKPZskgj2fSWw9wcVTPSulXj3Ol3k9FWx8PWeegD1vpYg92auNPZopij3hjIw9fHmLPZYvgj09JWg9f3JsPXVSjD0n9pA9WGmQPZzQiD1r/YI9vbGCPdUXdj3LA3M909Z1PV77cj3gyWU9x15mPbnFbz1Y6IA9Ll6DPasYhz0Q2H89BlJ/PenMiD1W8IQ9ALeEPcv8hT2xuH49ml9vPckyZz1cVGw9GXZxPYCHez3nD289AFZnPTlfZT2/4Fo91d9OPRBfOD1E4z49v31DPR+xNj2edww98DMAPVFXzjwCEM88bvTSPDwavDy90LE8B5qpPPuHqTxbVag8N9urPPputzz6Mas8i82lPDc3pzxpEa48ArqxPAlAqzwHGKk8tcuvPJForzx32K48cB6vPBXlrjyLy7U8KkK4PP4wtzwV9LU8+uq7PH2SvTzAc7484V62PI38uzxFRcI8MAOxPHdrvDzdgLc8Ktq0PD4OuTyXSb48q4fOPGJY1jwOkeM8cDbuPJa15zzNtto82+zVPFIp1zybis08jtDKPM/+0jyUudI8zXDXPDPI5zyDngI9x9QDPb/86Dz37NA8FZPSPKYW0Dyv39k8FMvfPM7U7Tw0qAA9IQgKPZWNDT1D3gY9yNoGPfcXBj2IoTU92278PShYNz50NCE+og0bPgV9IT5DyTE+wzUYPgxZGD5/uRs+OgwdPsmJHz67hBI+W/UWPvvaGj4ibx0+A3wfPknuJz6b1C4+NyNYPq29Yj6fyFo+KOxePtlUSz55cyI+2Q0uPnBIRT5wfUE+mWk9PjibJT4yvRY+8HkePhgGGj4WQS0+NZQ1PizjQT7LdiE+TSErPu98Tj7stDQ+ChsmPgQOOD67LDU+REUrPi9eKT6vyyY+KEIkPlJ4JD7hsCI+dR8mPgu8PD6Z8Cg+YtkfPg+8GT4GeSM+fusZPiNeJD7uRCQ+j6okPmzMWT6E2UA+trQxPt57LT4gDCA+LDgdPgMCGj7VyCI+dbU5PhnROz6WIkY+7gBFPtNXHD44wyI+NENIPuHTTT6y508+v2BOPnK3ND67pB0+F5ssPrL5OD6j7CQ+5KoiPiYxKD6tmSE+K/AiPodkMD5VbD0+XFM+PjpDND6QWBw+8fwgPstYUj5pr48+L0+HPptBSz74WTQ+2WUrPp8rLT5f+DM+tV47PsKCNT4T7S0+8YEsPswBJz4kdiw+B442PsWKRz5cczM+d+8oPmb7Mz4jSjE+2sItPk1fNT43lD8+IHxFPg/SJj6VHAw+9PEiPiHsJz7OjTU+ohA2PkVOFj7j1BA+8UoVPgA7GD7QJBM+vMwOPsALMD7E4zA+sn4kPigqJT7PJSU+DSAvPuoTPT4XpkM+RJAtPn8RJj4Njx4+A3EqPp9SKT4AdCM+cdQpPihhHz5TKxM+XEcoPmZ5RT4cBjc+pDAbPmdTJz4DmEE+oFY/PmLVQz7rLzU+8L0pPolsMD7FpDo+ondCPiU4ND4RETg+lY8yPimEOD5bAS4+oEVCPvSWRT6wHTk+fu07Po3VQD7ZYEE+PQwkPrHXJj6mZic+zb0mPjJyIz6FyS0+HRAcPpzF+T1KqZ095vtCPRsv1jzeEoQ84raVPB2qoDy697A8TaW6PDT7uDxprLY8ayPMPBQ64zya9uw8+jv3PLN08jwDHPU8rFAHPd4WFj1d4Qw9NtQEPYvcAz3k6xQ9CjmCPfeFnj17+4g9Fg5+PW+mTj23iAk9Fg78PP4REj0eNQg9f7D+PPxxDT01Xik9zMpFPfMQPT3ZQTo9KLw8PUp4Oz3R7zM9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3o7dz35log9XY+LPbp2iD2OIYY9CjGDPXv2bD2dflk92f1GPVAWRz2NU1c9UHllPVh0bT2Qwm49my1lPbxaXj2WHEc98S9HPSZAUT2oOFo9pcxhPeAFVj3aA1g92hhnPaXZdj2Qe289h7JzPaJ8dz1blG49YpNiPVgWaz2RFW09CWtpPd41bD3iWHM9b1yAPX5laz2yjFc9u1ZSPVlVUj2E0lE9jJVWPeYsYD23WWQ980lkPaoLYj1UJXQ9d6x6PdB6bz0/dmU94J1xPXUWeT1NPow94qqXPfXEjD1VrIQ9CL+APfw2gD1ILoY9mSuBPW9cbz0yFoI9St6OPTz0kj302oU9mTOSPdsgjD2jAY89x9KTPfmDkj1k/ZY9R8GMPZdtjj29CJM9HRiUPVcNjj1wXYM9nk2FPXM5hT1j43w9FEOFPfdPij0M94A9aM+MPQoPhD0znHU9F6R1PQfcdj0pX4Q9yySTPWoTjD3DU4o9VD6HPb1nhj0bynQ9VhF2PUF1iz3OYZY9czabPdtJnD2LZJE9PLiCPS1bij35paE9oKKfPSermz1HJoU91cCSPW9VnT2tlJo9kqSnPfDIqD0A54c9jTCEPVhQkj0H744980qEPWe3gj1Nv4k9tRKTPeSQlj2+fJY9CGiHPRD4hD1ycYg9IS6EPXoVfT1neIE9CU+BPdTZgD0bFX891hiBPSstiz3dsJ494GalPSFqoz0J1JI940SEPS8Rhz2ibok9RFOXPU/Zlz2+dY89HR+BPdWPbz1EcmU92ulMPU1ESz01pVQ9q8xgPT95Uj1R4UQ9SlhMPSq9Sz0mrUw9HpNdPSV3bj3TPHA9rthpPZ75az3g93A9G81wPXVkdT047XE9hl+FPcjqkT28NZ49lyCVPSepjD0UyJY9IkCbPYxClj0is4o9jtaLPSjQiz2fkYc9jMeHPb1khT1N4nw9cgOEPUq1lT3Ee5s9qjmKPY3uhT0g7oA9Gd6JPfRqlj0dz6A911qiPVs4nT2KGJY9LX+SPYcloz0UX5c9fQycPee8mD0x55E9hBmgPaVWsz25yZ89Pe2XPQLKlj1liJ49atCkPba3oT1n6pM971qKPUr8jD2U5pc9HRuWPWkQkT3AUok9GYiaPZhdqz09mLQ96269PaFUvz3cuLc9Tl2sPfqPqj3E+aQ90+ifPQUusj3l6sA9DNrGPShuwD2qA7s9AWTCPWznwD3QG7I9zymaPR2LiT0uRoU9js+APSY3fj1paIA9WGKEPaqWhj0zGoA9QZqDPVGRjz3nZpU96/6XPfdrlj2XTJY9Uq+MPSn+nD3M/6g9FFiuPZpMsz2g8bE9tZyiPXwzjz0YxY495EmRPZ99lD3uI5M9gXeNPU4chD29F4c9c3WKPTr4iz25d5U9cfOpPSbaqD3wVaI9An2qPUD3sD1SWqI9bOuJPSRIhT3A4II9KGyFPXF+hj25J4Q9TXuIPey9jj0Woow9Ry+RPRjylD13pqE95VqePcjWkz00R5k9KZqdPa6rnT1GKJU9eomePacMrD2nOac9CAaaPZihlj3zlZQ9r9eVPQPlhT1QdHk92hSAPY2mgT2J4II9m8CLPZKWlD3NV4w9pu2DPTxWgT0M0YA9U46FPet1iT1RzIg9r2CSPcjUkz2UpZg9ZgqRPV5Dkz0yd5I9ZU2CPXG5fD3VeIQ9dFaGPfcxhD0+MIA96G6CPU+Pgz1A8389PYWLPRr+kD0dIIo9XXaQPYCAkj0Nx5A9YSuFPYaGej0KUXU9iEaBPa4giT2LCpE9mh+dPQUlmT007ZI9tRuIPU4qgT2PcnM9XGB3PQ3hgD3x0oU9Q1VyPf68bD07cWg9BE1nPZfxcD2bZ309QamDPfRmgj1GGoI9T7iCPcwkdT2cM1c9iRBhPbVNZz1C8m49VNhlPboibj1DJH09XxqHPYebiz3DG5o9GMiiPTscqD0cYJ89QNWIPYtgcT1DrXI9KAdzPQbOcz1DloE9dL6IPYV3ij0TAYg93pZ5PfdecT0ewmk9D0lvPZlGaz02InQ9dgB5PWNxcj2wfF49cUZlPcRFcT3H2XE9chVyPW/Eaz2oZFE9saohPexkDT1DFgs991AUPY99Mz3Gkyc9iivSPCy/vjyWi7k8VOrDPIZFvTzQEbg86hKuPAGkpTxRMq08lKOnPHwzpTzb1bg8AwGrPGYomzz4vKA847qoPFbzqjy3fqI8eFmfPCJnqzzmbac8pyKlPJwVtTxrv788VCfJPDPDxjycv788O+iuPITfrzwlLL08/ey7PCQMtDzeKbo8O/q8PASerTyPQ7g8VhK8PEDEwTxpPsc8Z43SPPpp1TxJ0tA80OPkPM4F9zzykuw81wPePNaX4Dx9IeE8kYvbPOWG2TxOEuQ8PgXfPMPx6Tzpy+Q8dQTgPMxl4Dxxl9E8Li/HPJMrujzDZMs8LkTjPGRH8TzFZvs8hhsFPV6+Dj2nywo9HWX8PPyd7TzH7/E8B741Pa265D2nWTI+71ckPqj8HD4wPCY+cEwpPuuvFj6VEh0+FMMZPoFkFz6Uyx4+/KAWPnM8ED78WBU+kIYbPj4HHT47LCE+rosiPvkqGj6uQh4+E7YpPnUqJj7ffSw+0GIpPk7qOD6E8zU+r18hPtK9Gz4HhBE+5j8XPnIgNj4g1kg+42xNPke4UT6qwUY+3WYZPowoNT50Ols+g1xNPiHBRj7y2T0+B05HPn1cPj6CRj8+jNMxPuepKD5lYzM+6EMbPgA1HD6WAi4+QBocPu+AFT5yLB0+6wYoPrdnJz5OGi4+m2MpPi6dLT5oWjo+al8uPgr0LT5BMS8+2880Pq/KQj50qUI+aDc4PtYhLj4ORCw+eJsOPsoJET4FjRE+w9MmPiA9UD7ntEw+GqiIPuBQcD5j3lc+EwMrPhCnNT4rzjQ+38ExPnirLD4NbSw+PPslPi48JT5UkEQ+9jxdPtmiVD6iglE+uEJOPujwQz7UtDU+J5xKPmILQz6k3EI+ad07PtaeKD4FRyk+lh4uPu2nLz6mzS0+N/4wPnJ/QT58LTg+1O4zPqs8Lj5mMTQ+S5AzPtg2Mj522jo+17FLPqOnNz56Mic+twIYPq7hLD7DhyY+v3saPqmiPD4LkT0+mWUvPsvaID5BNRQ+2CgOPgXpEz4Tlho+8YYdPibdNz5x/Tw+5gYgPsRvIz50GkQ+RuNIPlzZIj7t4Qw+qg4gPnB4Jj776yQ+8JscPplwKz6X4y4+e4gYPnWGEj58mBI+IMYcPl2WLD5FMRo+ddAgPvuRMD4vIUI+r4hIPoXWNz5wPSo+gn4iPtRSJD7e9Sk+x+k6PuVdRD7xfy0+1lEuPr4wLT40AjI+PuYsPptaJj7XiS4+1iQ5PgxlNj6prTM+hsE0PjhHQT4dox8+jf4VPmeKFD4wjR8+5wgkPnT5+D1otro9ThEsPTgfwDwYCKM84VarPHrzyzwaxdw8dyTmPHqI8jwvQfU8p4flPAGU4TxzFfs8TUMQPfCKED2WyQk9QnkLPQMuBz0mhgw9/7MePRUxKj0VAy49DW8fPaA4LD2T6jw96c9CPQr4PT1/Wzw9F4YwPe/WLj18dDY9GN8wPZeVLz1YXTA9VQM6PaFtST28qEQ9YPRAPQDARD2awEo9oV5WPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8iY4Y9g2mIPSGUgz2JgX89bkp+Pb68cz2pKWc9qatkPURIWj2AL1Q9HG1dPbdxcj2xO2w9VtVcPR+gTT1rkU49FGBMPYPoWz2mvGE9S9RNPT8nVj3/12E9fzpnPb/Dbz30QXU9xlZ9PUbjfj3rW3E9MmtkPfAHVz02E1k9oZJUPVf0VD1NtVw9oKpuPZwOaT0bblk9cIBqPYYXbj3tUW493QV0PUC8bj07xHE9R655PdrteT2mZ2o9bg+APRuqcj03zGg9MLxnPbsQaz2sgXM99yCGPatGiT3AjXo98rBuPYbFeT2qo4I9tEx5PZxiYT0Pu2g9R+SJPZgQlz3Eq5Y9nySRPasmjz1QrIU99L2MPSu/kD2Cj409HcmKPcbYeD3Et4Y9aAOLPdZYiT1/DIk9l0+HPbp1ij1Rbno9lnNZPb0iYj3E6209eDp0PdhZej2YUGk9DMJqPfgLfz0kA4Q9OR+NPZpNij0T3X89Sf+HPeFrjT1x4I09Ol6LPV6zlD2UW6U9SDKZPcLwhz2r84U9HmiDPbLjhj0l1Y891juSPfkWiT3o6og9OKSMPSXDkT1KhpM9+8OQPTbYnz3LD6Q9tEOdPfE8lD315509ZTOmPf/NpD0mB5s9OcKbPVRnnD1SJJQ96WGNPcG8gj1w2og92VCKPUiyjz03mIs90bqHPQ4/jj074pQ91iaSPSumkD1XgJg9EPSgPfJFmT3i/ZQ9Y52PPT54jD2iCYo9N32DPVHzej1SQn89ESN6PSMqbj3ho1I9fWJSPR3QTj38EEo9TGVOPfeiTz0f5Us9uThEPZJmSj0VR149MkVqPSh3bj1E7XM9exCEPdgPiz1elYo9R7mDPeCJej03lI09sTiRPdKxkj144qk9gxqnPRX4nD2AyZg9Jl+VPXd0kT2ufJA9EQCQPVzHiD2MN4Y9IduHPdAQiz2r4IY9QvyIPULYnD17Fak9lSKhPSFMjD0M0Yo94MqKPaFekT1q3Jw9+rKwPcEYpj2nR5s9WPabPZPhlj2Prpk9VcWyPbvRsj07oqE9wliZPffGkz1Jm509uvObPcrGpT14qqs9sDi0PRHNrj1ENKI9agyrPdMRnT3sT5E955yTPa+hlT0wW5c9426YPXTzoD2vpK49+PSvPeaHqz3s4bA9EA6sPdQirT1wBa09JGioPYt/pT1VY7A9+aGzPQsmvz2hf8E9iVKxPdD5sz0BRq89zxKiPXzTlj2ZWo49YzGJPaMagT0BLHk99ItyPYkiez31nIE9o0iIPSeLlj2y3aY9+xuuPY9XqD1zeJk9kxOSPcLLhj1YcZQ9YfGuPbEPvT3yHME9mQC7PRNnoj1HuJE9lRKLPYXvjD3vn449FjWJPeBGfz1x9Hc9gbOKPcg7kj3cEZY9zM6kPRi4qj3agqM9xpmbPdhtlD0rr5E9jqOQPaw3hj03QoY969OKPcZYhz2zx4U9wQ2KPVO/lj1P5aA9sryjPbyzqD3S1Kw9/yizPS64pj3BO6U92SClPQJDqz3wUqs91zypPdC6rD1EE6o955qlPXNVpz3gs6A9b6CaPVhalD3GYYI9sw59PdzEgD0LwII91HyBPbq+fj1IgH49riV3PTOFbT3IknY916aBPXhylj1OG549GeqaPUPRpD0Xr6Q934mkPRz1oD2ZAp49QwWSPW3bfz0P/nc9iMJ6PTRmgT3iT4U9QHeHPei5gD3+VHQ9C7J7PWBYgD2YFXc9H3l/PdiJhj1Nh4w9voyOPdAhjj0XA389BE97PRGWkj2lJpg9WNeVPYb6lD3BuJg9Fl6UPbbaiT3rD4U9T9WDPVlKfD38B3Q9jLVvPcI/az2xd389QpJ/PaivhD2WFY49NfGHPUnwgD1/qmo9giFnPW0yYT0eX2g972VoPU+rcj2zGmw9GeptPSSxbj0+sHA9diuBPZHohz2EK4w94ZmRPTF+mD0EN5c93NmMPZX9bT3tCmo9Mm1pPbcFXz08VGo9N3x+PZkUXj2642U90EdtPfe8cD21BmI9n15WPSz7UD2gPkU92AZMPXt1WT1mkl49YA1YPb2SQz3OqD09Kd1BPRXcRD1efSQ9/7f+PPlm0Ty7w7k83sq5PCL0tzyJOsI81mvPPN/Otjx+2qw8v+GqPExGtTz8Da883F2rPPOepjz0o6c8UjqlPH5coTzH56I8ZPyrPBF2sjwZm6E8VyucPLFInjycWJ88isWZPP3onDzfPqE8HzudPPGhoTx5XbQ8bK66POAMuTzVvLY8xya0PEoMqjy7BK88pZGuPDm1rjwrNq08mt6vPP+FqTzqHrY8VvC4PCxYuDwmh788bSXNPOs34jx9pOA8zX/oPC+m5jwJbug8KW7iPIfs4jw8eus8yt7YPAr/3DwJnd08S7XpPFqW8Tyfc/Y8s+TkPNSrzDyfzMc8FfPQPKxq0Dw5z888t2jVPOeq6jwppfE8yyb/PFdfAz3RXAo9JgMMPWPCBT1+B/I8QdPkPKk/Jz3lK7A93F4rPsSMKD6a1Bo+CB8hPn6ZHT5TtRM+XUMUPqFXGT7VkRc+OSgVPpLrFj4WnRg+EaEUPgFXDT6rjBI+6bMXPisLHD57ziU+99ItPgGjLz6T8Cs+lYQnPumgIz7BczA+qPUkPnjvMT7eziY+AdcdPqa0QT7PKWQ+0OZBPh1uOD4JzTk+7As2PjikID5HyDA+WJo+PnW3PD7DAk4+IJlRPj6xQD5u7SM+rzghPpeGHT6xViY+e28lPmndHD7Aoys+HwwsPvryJD5Iyig+qgEyPqcyPT5M/Cs+C/okPjAhJT4rFi8+lEAvPqUkMD4I2j8+4yI8Ph5QMj6joCs+dqIsPgIILD4gnx4+uAIVPjcRFj5aSSk+7iwsPv71Pj4f5V8+ByhgPolfhD6a5Fc+hspIPpiaKj5smTY+X/0tPmMKLT56gSY+jCAqPnFjLz7HpiI+fYg0PqvqXz7rJVs+jDBWPpSHTD4Gdz8+qTQzPgOtQD7InT4+DKo9PgNBKj5Whg8+MJkUPvloEz5myRM++jgSPg8dDj6kPBY+fWsfPqJOQD4n+DE+l9M2PsZmRD6TgUI+ywFUPt0JSz4YGjo+bPgvPtoLEz5l3RY+mzkmPsexIz7tnzk+OkZEPr3/Nz6p1CY+TtIuPrIJHT78ExM+lOooPvw7Rz5UZ1g+d20yPkzk/j2FxBA+ZDIxPtq7RD5a2yo+iIcPPpEQJD5g4ig+JcMgPtM+HT6t1UI+f80xPmr2JT7ETB4+zToiPg6jOT5IIDY+EE4rPm0pLD4dhS4+7ZIcPpIcGD5fSSU+iIwxPkBTOj6+tzg+clxCPjGqSD6lPi0+i7wCPtCKCz4diyM+/L0kPmPFHj6FhjA+6kUkPnXRGz7DlxA+OR7+PQkzvj0936A90y6KPQijej1YkGE9lidQPR5eMD0cnAo98zbePFHuxDyQi8A8lLq8PMX70jyFltM8vNTOPETI3jyh5+08HlH3PLDt8zxqg/w8cvALPeppHD1J4h89NTogPY2XHT3vHBg9LIATPe1hHj1bmyM9i6YkPWffNz0duj09v6NJPd2ITD1XKUo9SjRLPamzQD3DDkg9WNpLPYNbVT3LP149XixePeDGVD01UEY9AmtIPU1zWD29DWg9XIdtPSr2Zz0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/3QWOPb/Diz2o6Y49z2SCPVoWfT1js3s9V0xsPbfZXT3Wr2g9A9xhPQF5Wz1eWlw90iliPd6GWz0NYVU9/JNNPZ6IUD1u4mA9NB5dPXjqVD3a1GM9bVB5PQL9gz3NDIU9A5h6PRiqVj1EcE89bv9WPQ5JWj0ZDU492rRRPecMXD1lf1Y9OWRQPYBzUj3+GFk9I59zPRkEcT1XDGo90IdrPcygZz3R2WI9oRlxPSBxdj0ZOnY9/VB6PXq1fj2QGmw9hfBzPbW7gD0GG4Y9zVuGPdNbij2uaXU9FrJXPV1jaj02yXg9OSxzPQmUbz27BWk9pchxPVSdeT2VaoM9MbGEPb1KhD1gnYI9/gN7PYsQgz1yFIM9Z/Z8Pa8Yez2PdHw9fimKPRcdhT0EGIM99zB/PTcdfT1VUoU9WwpvPa6BVz1J2Vk9O8ZdPRjnXz0FNm899lGBPcV1hj0PoIw9qe2NPVi+iz0wVnk9QMyEPeHjlz3YoJ49O+ycPXSKmj1W7ZU9JpCNPdXTgj1n/Xc9yq6BPZ0Qgj2jjH890W6BPTHgiD0onZA9XDmTPYixkz0ySJY9eHKWPU79kT1McJQ9JtCRPT5qkT2PaI09nlSIPbg6iT36QI49NH2IPbuCiD0TVIg9GwCLPeOBjj2roI49VpmOPa/whj0iGYk9/LORPQJ+jD2ndJo9m6SdPXjGmT2re489cVySPRqQjz3fNYs9pmOPPfO+jz2qgY09CQqEPY6cgT2mWYM9yyGAPZhldj37Kl8940NlPaZeaD0uxGQ9orNqPfC9Yz0L0VU90zlQPcHFVj3cf2E95nJqPSCqdD1YkYM9sOOHPVDrmT2Smp49PQeSPVRxkj26pJM93daRPXb3kz2JWbQ9yruyPWZ9qj2HP5k9X6CbPXjalj1JDIo9xdmAPWIHgT2JSoE9c8J2PVSndz2w3oY9GrWUPd6tmz3dvqI9JXiqPaZcpj2DFaA9TIKbPc5bkz0NtIc9ClSMPZAMmj2wCJU9w9WYPX9BmT0wcJc94degPSYZqz2Wq5k9IvqWPcNYmj1lE5c9wjuiPSstqD01Mqk9ooSkPYK8oj3lhJ89h2qRPQm6jD0qG5E9rV6RPfi4kT1GQ5k96oWbPTJeoT1xAaM937aiPfv0pj1w/649At2hPSs2lD2+9Io9lGCXPU1FoT2bGKs9FLnGPRbTvT2fV7I9nmysPSWvoj1s8pg9lNiOPTV+hz0pAIg9QrSIPQ+PiD3yE5M9NHKEPdCyhD0eyog9uSqRPQpXmj2VzJo9iymdPXh2oT03WJk9qOiQPQwokT1y4Y89gnWgPRhNoz3SMJk9db+QPSqxjD0+4JE9tKONPVaXgj0VGIU93euMPS2njT2XHIs9CgCRPcOtnj0wvZ49AfuePVzKnz1u7Zg9GXeVPZXhlj1vVZM9kr2SPUUMkz0qEpQ9RfmdPdq+jD1WJoo95pSWPQz1mj1cZqY9NiqdPfeSnT3p2KQ9DEmtPR+Irz1va6w93tWtPeKUtD3fVbo9l9ynPVraoT3eiJs96jaaPdvImD1mO5Q9X+aQPdACkT1o8pI9fJGIPUDHgT3Y2Iw9ztKUPfU3kz1Cy4A9XkNyPaT6dT3M0m89g9iBPcNjhz2IfY89KuCUPQsblz15kZ49f7CqPTf5qj3n4qQ9tOqbPR5uhj3zjXw9/9yAPVCigj1c8YM9+a59PUkxiz38t4g9qTZ/Pb6Yej2RY3A9/CSBPeIsgj09A3o93B2CPUj8hT247Y49rv+HPX76iT2ExJg9RQiOPaILjT2KUYw9SKuMPV1CjT1nsYU9pWaAPaJkfD3saW095IV4PQA2hj2de4I9yXGGPQMbiz2A8pE99NmKPY+yhz2eanc9/kxePWzVWj1pr109KyBnPRA8bj3H8nk9pvJ5PUzfdz1Ta349b4WNPftQlT3Qe5I9R+ebPVsmlj0a8YY9ZUJzPbJyZT3gNl49Pp1dPQsrZD0JeWs9ZultPSKZbT2+ZHE9pn9zPS+RcD26nmg90+VYPRauUT2hOzo919AsPeTkKD1okDM97H0qPR2SED2fq/88wbPxPN7b8zwHEeg8sd7HPBwrszw2LLE8uUuzPBoGszwKt6s84nCmPFsZvDyeqKs8b9eePD4wnzwSX6U8lAGyPCZ8tzwkpbA8x/asPFngpTzSM5s8BFeaPPb1lTwkOpo8vq+fPD5qqjzhlK480QKYPF/FlDx58Zw88XSgPLttnjxwkJ081FyfPIK6pTzThqE8UdqlPGg7qTwQhKQ8IRSlPLmmojwY0a48sRinPLQNozyIQ7U8ubi0PBm9qzwxLbw8ilHWPLxf3jwbdOE8PNrTPEI16DwFv+08QlvqPAsr8TyeIfQ84MrlPMnqzzycRsw8dBzgPA2i6jw0lwY9cKYMPfwS/DzHHOk8N8btPKuV8TxNues8a/b1PBQe6jyMKvI8ajkAPbHkAT0hTwY9vtALPUtcDT3QEgY9GFgGPXVNBz2WKGw9wm4APnSPMz4ktxg+jDEPPulHEj4VyBo+XO4UPi8pFj43Sxo+qLQZPt6HGD7coA8+zo0ZPvFBHj4Y1w0+sGwLPvgkDT7wDBo+pG8pPjvdND7Vrjc+QNU/PnmbQT6AEzI+dzgaPv99LD4YP10+Yj0wPnFUIT6aGC8+IUo1PtXUHD6Aex8+x0AtPmXELD7o9Rs+YrItPk7tPT501zk+0EguPrJDLD4KhCk+TtEpPlb8Ij4KpyQ+MgguPveILT6xsCU+QhEjPhcLKD7EWjc+OkodPoIHGz5P/Co+w3IvPou5JT7OdxU+0NUgPn22Kj743U4+IwhSPu3APD5GIDM+tz4wPr/gLj68Eic+VxwmPoRpMz6p8TA+YRwwPhblNT7IBEY+Zh5APqNhRz5cgUc+fAY2Pm2NNj6aiDg+uaM9Pqn2Oj5ZmT8+4G1PPs9oTj45AEI+G+ApPuMRMj5tJ1I+6jZPPr70Qj7VOi4+WDkrPpIFLz6F3js+hkA5PgNLMz5fchs+9VoNPorhJD6d8jQ+XSorPn9ZJT6/ERM+l8sVPiX5KD5YbkU+/B1ePq01WT6cRUo+gNNIPtd0VD5hijs+3YMlPnF9Ez7vTQk+L9ITPjp/LD4K8zM+/MofPq3jJT5q7SY+croePl6vIj7sRDk+DnRMPggpaz45IXQ++R5QPjkVIz636Ac+7akjPkLXMD7AbSc+i5U4Pu7+IT5SUyI+l7olPt7LFj5zAyo+yw1ePkIWMT5fXxo+akUXPiWkIz4QUDk+J3AyPkJDFD7/VPM9vXMMPjJEHT4BYx4+CmQ5PikFOj5vPC8+4cA2Pi3QQD6IYzQ+9NMlPkX8/T1V0N09GzPkPSgq4T1P8NM9WECyPaXNYT3Q6CE9qRXbPCVGtjxT6pk81AygPK48pzwab7o8LfTIPN+izjyHK808q6jNPHuAzTxUktA8MfrdPCgy5jyDePA8UGPwPMNmBD12Ivo8F9P5PDnl+jxxKQk9uO8SPRt0GD2nkCI9OLclPcfbJD3ubig9dtEzPUl4Mz2Q8jw9jFVHPRcUST1uwEc92d5APcD3SD2Ae1E9GQxQPfCxTj0TIEw9iEBMPfRTUT0IBVs9prVYPbYmWz229l89am1bPX2cXz23nl49uNtdPbMyYD21jl09AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfz4cjz06wnQ9AohnPcRDbj01S3M9KHN7PQ88fT1db3g9RSBtPeClZT0Gf2I9HntkPT00Vj32F149ZiJaPRtUZT0c8nE93PhwPTADbD26+m491t1sPYm5Yj0sKmE9mRVrPZ37Uz0E+U89W8hbPb5HVz0seVU9IrdUPWcfTz0gGkk9wspZPSFkYz2/W2Y91lJ+PbHDgz16GYU9XqiGPc2vgD0H3n091MN+PR7rgT25OYY9u1aLPdqPkD2TepE9/WVzPRkeZT0RRFo9jvRjPXLlaD11C2o9nIlgPfgTYz17VHE9qw9uPZspZz3//WY9hJOCPaBuhz0TR3w9AbeEPcE8iz3CnYs9npyMPUnUiT2hEoc99WyDPRBAgD1bNoE9vV6XPZ6LiD1rt489exmVPaGxjT2z6Yg99F6JPdSSgD1Y1mA9FlJkPYz+bT3nXnA9g357PYOBiT1OgZA9GPKHPWNSbD0J/nw9SFaNPWLBmz0r36Q900GTPVnGkT2uVZ09KemMPahuez2Ze2w9R6pkPbzndj1lQo49NqSUPTLElj3+iJI9QuqaPUgDmD3DRZc9zc6UPfbriD1lqHU90uZzPS0jej3OL3k9ozOFPXoBjj2XIZM9p8OQPWPGhz32Zoo96DOHPTkjgT2coII9DDWBPeOLij1oEY498o+XPUadmD2ICos91GCLPRCzlz3VWpg9yi6XPTXvlD1yXZI9Ur2UPRYfhD0Utog9cG2CPT6IbT3cIGY905hgPbHhWj2gTl09FvZcPaioXD2tmWM9EvlyPboGdj0+d249oExiPSO2XT0++1U92YRjPT+ecj1/BW09Pxh6PcDGiz0o/589OsmePUu9kj2tTJo9BUyOPfpngj1vO489vZ6LPXl+kD3SmpM9wS6PPf0Nhj3+eIo9eXR3PfkBiT2Auow9kTCNPYfchz3ECIo9t1GNPf3kjT06JZA9eh6WPfJBqT1ujKo9062gPYVQkT1K+pM9l4yPPWsWlz3hTqc92pCrPf7voT0rb5w9T8ipPcWjrj2zhpk9ezqOPQ+3kj3OWZg9QNycPVPepz0c1K49/iCsPes2mj2joZQ9KvqaPUUQlz2pVJg9ZcqdPQzOoj32yp092N6kPVxXoT1Wjp095byiPftsmj2Q5pI9rSCcPdUfoT2Xq5g91MyQPW5lmT005549LzS1PVV+rj2+n6A9qzqgPQaVoj0fsqI9JmeiPaEpnz0jZJQ9crWOPQE5jT3GKYw9HHqNPZKlhz29XYw92MyHPRvhhD0GzYY9xGaUPZAsrj1d4Z098n6QPeohjj3kHJA9iGWbPZc4oz2ADZY9lr6EPc4vgj35doE9xNqCPQTHgj2Kd4o9hlOWPf6zlz20/5U9H9aWPYVSkT31spo9v6KpPWaGpz3ZB6Y9VfWePXm9oj1jQqU93nSkPRP2qj1LBa09jiybPSbBlz0d35c9GFGWPbjBjT1PEIs9NaSSPWLumj1e9pk94gerPej0rz3uzK49JdCrPXogpD0sCKQ9JOGmPWNFqj1eB6s9cUWrPWp6nj1lrZs9KNKbPWaLkT3tgo49rWSGPd2nhT0nK4k9wimQPc8jkz3AaYo9JH16Pb38Zj0293g94vaEPTsShT1xKYU9QxGPPX0wnj19wp09Z86RPe74iz2gaIE99T54PVrEhT2IVIQ9caSCPa/YiD0VfYQ9jCSIPRROjD1/7JA94daTPUyjij1V0I494vOUPZm1mj1BFJk9uxKIPX/vhj3X3Yg9gfSHPdxQiT3yEYg95wV8Pb1ydD0ae4Q9lzWIPaT5gz2d2ok9yKGJPZA2eD0apXc9eXBxPYdbZT2StnE98DGDPRiSij3LBIU9pviBPU72gj1FB389mGN7Pfeqgz2074M9CZiDPWmAhj00coM9LiKMPcV1iD38t3s96I99PRxRhz1qIYk9kVSHPU24iT09/JY9G82ZPfS+ij2xtIk9ajmLPQ3Hdz0jsm09Ndt8PfTpiD2xboI9RDhuPaRUVj3C+009rDZOPZi1RD3pwzI9d+EwPS3lDT2Mzeg8PmPSPAIkwTyy+MM8zZW3PCbOujyrgrk8OLvBPHfD0Ty4oMc8G9XWPEfp6TzycPA8ZyLdPFXIxTyOBsA81vmxPCRwtzw4obU8xLOnPNg0rjwUEaA8M8qYPCSzoDyhZ548/fSYPJmtnDyksJ88CHaePIlMqzyiabw8WmC0PNrNoDz5rZ084QmfPPkNqTx+mKw8wDSjPCYbnjzrUZ48tIqYPNrVnzx3a6M8ufSZPOkSkjxuk6I8EhSlPGoamDxnUI88onalPI9iqjwnA7083s3JPPthyDzo+Mc8xLDAPF1cvDy9KdA81sDhPL2U+jwbHgQ9uHwGPWfyDT3lrf88Wa7rPJFd7jzTRe88tEgCPcu7Bj0/GQA9NVECPUEm+jwXtfY8Wtz+PBnG+TxDvfg8SR7/PG7xAT0saQQ97uQVPa8NDj1q1f88+QUIPSAljz1zRLQ9dN0rPtbqRT6GbDI+05MRPme5Fz5EtBo+wR4ePnCnDD5WmAw+n0MTPu/kFj5PFRc+NNUMPn2tCj6u4gs+ZOsPPnf3Fz5B2xo+0SYnPsZ2Pj6rQU0+5pBTPqYPQD7k7zc+KE8TPs3nIT7AAF4+zEpVPiVzFz41lQ8+C1Q0Pj26MT4RHTI+ULk+PtGfJD7H+R0+1wolPh61Kz4KtyY+u8QnPlpkNT4pOSE+KU4OPu47FD6iKRk+bbIPPiPQHj6FAyQ+UjciPvDzHz5T4BU+s3cdPnCgJD4EZyU+2GcaPhldGz6IJBk+4v4RPizyCD4uLQ4+kO0hPuTEOz7NuUY+PZJhPlDAgz7qN5M+wNyOPu6faD74Y0Y+0d44PkAcPT469kQ+FsNDPrgAMz7s9i8+N1ooPvAzLD7SNis+ewUqPrMLLD4QtjA+tT4yPtooOz7CLDo+DgU0PnEtHj67Sxg+7Bo9PuXfXD6sHjM+JF0oPjQiFz6rch0+FQg2Pki7MD7FfiQ+XIcjPvI3Kj6ohy0+rro3PldQRj5ey0Y+5gpLPiruNT5QtRE+rRIYPl/WJz6iLRo+QvYrPm5fVz7ayE0+Lp81PsyqGT4XHRI+IG0iPh0eLj59dEA+Q6YuPlIuLD5GAjg+E7Q1PnwRJD79Ty8+FkJNPgIpSz5eZVE+njVZPnSAUz6OnDg+YUg1PrAXQz4jCjI+xuQyPoIMPT4bcSw+X4QwPh1BOj4cHiw+TiQzPpFbPz4xZTM+rq4oPmt+MT4IRTs+8fQ5PjlbRD4QGTg+XPYLPtb7Dj7kYQ8+BVYmPjiyVD4+eDI+V1cnPmKFLj4kcjc+gKYgPk8jnj0MQl88pilePKqWczwgUYY8f7GgPG85vTw++Lw8qhrAPBUAzTx5Z9A8YJO9PAs8tzzYb748IozJPK3yxDy+LMM8r4/JPB0rwzydp788G/rZPOax8Tz6xPQ8zfzzPKgc/zzjkgo9aBELPV5FED3HaxM9lSgbPc/GGz2Jcxk9TbUfPXPuLz3Lajg9TqY8Peo0Qj3N4E891JxTPd1YUj0+N089egNZPYSHTD0AtF090tVhPdCsVT0671A9HNNVPWSuVT1yTmI9Ri1pPXwwYT0Wu189Fq5kPZghZj3obHQ9ZpRwPf9aaz2zHGw9xdOCPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8ZNWE9wbxwPbQHeD1cc4I9PK59PV14dz0nbXM9WYZkPZB+Yj0vD189EeRkPTmUaD1xlVI9HCBZPS86Yz00G2w9EnlsPQVSaT0r62M99U9dPUDMYD3Vi2k9FoVvPeabcD3zh3E9CrNRPZI6SD0Ef1890th1PTYteD19U2o9q/xiPQuqYT1w9W892NtzPeAtdT0TEIA9CA5/PUz0dj3yznw9V/eHPQckiT2GC4I9iHGGPXR9hT3GzW49rclZPVnpVD0L41g9csxgPXXQaj0N/2M9SWllPQnuZj00SXU9039/PT/Dfz2QfGk94mdbPc2mXz3z8oA9oRKSPQJxlj3m2Y09V/NkPRuvXz0YPHY9FJSKPYptgj3c4Hs9JgWKPbPrjD0nZY09eXiQPad2mj3n+5I98FiCPRDQeT36flk9I5xXPXnwZj2JY4E9wmCOPbebkz0fwJg9Gid7PTshYD1goWs9uVKFPZxxiD1Fk4w9JtOJPYDqdj3Y9m89ch+DPZudej0XNmo9dDyBPUPLhj3e7ZA9pSCfPZIxpz2e47M9NJGgPWmNlD3EjIg9P9uEPVRGiT0NOpE9EluSPdMliD14/Yk9Kg6HPUr5gj1NEmw9GeVzPdbDiz2JGo09BYaPPaOuiT2gcoE9MnqSPaiCqj36Ap894FqYPRuqmT06p549bs+jPR6Alj2ZWJU9rheRPRO0kD3gyJQ9tKiTPQjBgT2tX309k0mNPSdMkj2XAok9F1l5PcKLez3cB209WURkPRGqZj1MHWY9Ps5xPWpWcz2p2Ww98XhhPR4DWz1ckls9pfptPUm6Zz1Bp4M9jB+HPac7iD05cZc9m/yRPfPUhD3FPYM9NcWEPXLWgj2w/H49fjiMPT8Lkj1Bq489G7WMPSQ4hT3DVoE94q+GPUf1kD1QkZA99raFPfPphT3q2I09oPObPfWmnD1Xb5A9rBOgPWgFqT09uqQ92mKZPW6CpD2frqU9HbicPRhqlD3b2qM9qPalPQPbmj3z7pM9PieSPTyglz2csKI9RECMPbyWjD0/LpE9P22MPViqkj1DN5o9VbqWPZjujT2ymJg9aMqgPSnBoT0vg5Y9X2ScPYqfnD01fKA9RJqlPbObpz30aJ09E3ubPVtRnT3Zvpo98syVPZIAmj3S0KE9TbqePZttnT2u8Jk9Y/CSPamQjz0875E9UmmaPe/Toj20wak94+mvPbGhrz32j6k9NhOTPX8hkD02spA9IlyKPcXThD2cfXU9Cm50Pf5TZD1xrVo9BW5pPep3gj2yWow9t4OQPT1MkT02DI095o+OPTNIkD2iWpU9djKMPV5rhj1nK4w9DnObPYHhnj2R3pg9NVOKPVkkgD3/r4U9INSMPbsVjz19IaE9ZPa5PRmeuT0b1qA9nRmbPSZNnD0L16Q9512dPVQ4lT2U6pY98mKOPTAVij2oZn891+qBPZg3jT2zPpM91aaOPeisjj2oRZU9IZGhPe1xsz3YA7w9WVymPdBmpz1lrLY9/k6zPaxnrD1rI6U9DQiYPTlrlT0E+Ys9kx2CPWaqhj3Wvoo9yyeSPZRKkD0HOYk973uHPbFOhT3rhXk9d4l7PZ10dT0lkXM98nN/PeaGgT2SAYs9boaMPUe8jT0Gk5A9SbOMPfClhD235nY9ehJZPQhIVT18KVk9wUZ3PRyQiT0dFKk9Cj65PbMPtj1J1KQ9LtqYPXrhnT0Wo6Y9GoOVPQLykj1PeY49WHWOPeQRhz3d+Yg9UjSHPVsmhz0DsYI9OpVtPa+dbj22e4Y9Z32PPcsFjD0QCI4993OQPen9hD364HQ9WpSAPWcxgD2d5II9+yOJPTSQkz1M+ZY9IsWNPUCqiT2qO4I9ADR/PXmWgD1RsX09VdeAPYDRgj0xpX49HH50PdOyfz1UIHk9g3KCPZQohD2tsJA9KAWePSI7mD1MZI09LQ+BPbfGeD3sdYE9zK+APR9feD2z7Vo9CeZVPe4sXD1VL3I9cQ5wPXNRTz3CLEE9vqQ+PV3qOD0usCY9nc4GPcG5Cj0Katw8GGe+PAzuwDx1AcY8Gs25PMooxTzxlMU80LK9POULwDwlO7U8nIDGPAkZwzxD1rs8u7HAPBqIvDw6dLo8QWazPN2ruTxsHLI8JKOuPA3EqDyV2KM8Y56ePLSJmzxxkpw8sXWgPHUZmzwqSpE8JAuSPOMAlDwYxqg8c0C4PEwEpjyvlpg8TCKePO0WqTypOJg8Ec2LPMS0hTwDgYw8CjaePCttmTxQWpk8wrCUPKKVkDy7To48WwOXPD5MmzxmL5o8+D2fPFJrqTx1b6w8Sha5PFfWyTwyRc08T3nSPKod0zzWydU80m/oPJ0/4jxSMOo8apT2PCbrAz0VnQY90i36PDo29Dz8l+s8Eh3oPARI5TzDZvE8aBb0POkpAz1d9AY9wQ8DPVQq8jzzmf48NBYGPZCaCD1y2xY9sYUaPQTWGT2fbQs985f4PHX9FD1U7qk9wYsrPhPEQD5HqUM+sUwqPgGyGj4tnh8+LywrPmh+LT7uzSQ+NM4UPp+VGD7MJh8+UPIcPh/PGj5ZohY+2JEbPn5SIj7VdS0+eKQ+PmOgQz7IGVI+K+lGPj/NOz4iTio+vDA6PpxcQD6KoVs+/k5RPrbKGz4sOhE+IlUkPjMzJD5S+hk+8c0uPn8EaT7zBHs+RzaVPsINlD5+NIE+5ZE+PmcnIz6y/SI+a7YePncIHT4tKSE+vUUqPs7aJD6crio+GpMaPjm3GT7dvx8+c8UlPtJAHz7gTSM+H7k8PqJlOT76HTU+p5AzPpmSID4Ntxc+09YYPqTcFj68iR0+G5FHPtz4XD6fE1Q+zPVyPqp5bD5fj0M+nRwePn7lFD6lziE+4awkPujFJT6uIyQ+hrckPl/QIz5eEBI+9S8cPiopHj7qISg+wpohPh3GLj6+wi4+vlo2PqwzNj4ZMS4+9XglPtN+HT7s9ic+R1wsPtVhKT5qUh0+r1AVPiXbHz50jig+1gIwPghiMT7JXjg+yfBJPhkNNj5JmCo+1EskPoUvJT7SyB8+jYgaPvCHFD5OvBg+71cmPjwULD5CrCo+4kQlPrXnRz7zCzI+OcoiPm4LHT461SE+08tSPsunRT5E+z4+rgBIPtpNRj6r70M+8Og/Ps+nMD64ajI+hekyPplEPD4wvDs+yMg5PoFNQD51QS8+3NExPo8cRD6Q5Uk+Mhs5PtIlIz5DMhk++t8dPuOnGz7c2CA+2ZQiPvKdIz5aZxw+f88fPrriJD4nmiQ+gkAVPufhHD6I6DI+n79JPjhNSj4LTUA+Cx4pPv6hDT77XM091NKZPSR7JT29/H48hq1kPPtFgTygcpI8ZkSaPNd2mzwL0qU8V2qtPHaFujz7J8A87V+9PNt3tjz30ro8NDTMPItS0zwJ0Mg84Y2/PFIjwzyyCM88e+jnPIZ7BD3qYhM9E78WPQT3GT0EVw89W4EJPfewDT3UDRU9e8gTPT8eED0HGxc91+MePYBFID2uxho9dTsfPbBULD2oADU9appAPRmsRz1qS0U91KFKPZ6oUD1/MlY99mpiPZVQWz0hmGk9KIRzPVlGbT0zYGc9zcttPVq2dz1D3no9tKB6PRjygD0kM3o9mpN2PfvWfj2e+Hc9I9dtPWq+bz0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/dVl2PV3cdj0wT2Q9hBBfPea/WD1HPFg9KPZYPbuqZz3DUWU9UoxiPWDIYz0y0GQ9jtFdPUanXT2/UWM9Me9kPQxlYT1hVmA9uodbPZHdUz3Oe1g9cABjPVhmbD22w249mv5qPQVFdz2O52U9YsJZPQwFaj3mYG89n19iPaFZYj0PBmM9EuJjPc05Xj2f71o9RJpkPYWSXj2z7mc9Jfh2PcOgiD0MaIs9MUCFPTlFfD3keW09lAFpPQELaj1Y82c9NgFlPU1FeT2D5Y4936yMPbLzfj0U3H490G52PRWqej0HFIA9xY53PUTtdz3cW3c9F8CCPReniD1amYY9WP6BPbnggj0KR3894TCDPYMUiD3m04Q9l3pwPdsecD3Fdnw9rz+DPQuZhD2haoM9sHp3PREcVj2aHVw9IKhrPS1rdz3bWIc96tORPSqklD0WKZU9cgWJPQp2cT2pxXA90aWBPaj7iT2SOIw95NeIPd0XhD3kqYU9wsFyPccHWz1C32A9qAdvPReAfj30UoA9jfSTPSOZpT0NH6s9T225PTeIpD38MIs9wfuAPUMwkD3V9449cEyUPW/6mz3Lgo09PaiAPccCaD2sD2Q98rp8PebciT2TuY49WeuWPTS5iz1UeYA99qyBPYTukD0zW509k4mPPcJRjj1yo5E9IV+UPeJalT0Kd489F4luPeNnbT2MsXg9DRyFPT8+iD2/oH49RXlvPRCUbT1FWG89jaxpPQS3aD385Ws9hqhjPYg8YD3Ct1k93F9cPTHscD0LgXA9NVlqPc84YT0QTWI9g2ZmPSR1aj0SFXo9DdN+PeZDeD0rNXs9LPJ/PRz5ez17yX09nuGGPcoKhz2hp4Y9ZziPPYo0kj02k5A9A/6KPWpAiT0ZsIg9QxuLPaUiij0Pgps9jMepPdGoqD1Rg6Q9c8qhPX+snj3UIZA9mwiEPepXiz23yI89sJeRPUA3lz34ZJ49qpOiPcTlqj0fnKw9UJmtPQUaqT0OF6Q9Oe6pPZrfoj3nUJs9E+2WPXZdiT3Vpos9CzCQPcOalz0aaJo9gWyRPR74oT1AJ509kV6pPd16pz0mLaQ99LCdPSqCkj395ZE9i/GVPacFlT1m8ZY9+T6fPSy7pz1WQKQ9uhKbPaUVpD15eac9Q6+kPWtYoT1AMJg9UW2VPdhmkT3bx449HYqPPWXkmz01CKI9jnKmPWXKpj2bEqc9ozOgPSplnT0GQo09UOGBPeUldD0F2289azdePdITaT3Tamg9ycFkPb8sbj3jl3A9/KOEPcVHnj3Gf6c9h9WVPdjnjz3N7489IE6JPWr0iz35xI49PJ2RPWlSlD0QCZQ9ap+QPUxhjz0vmpM9UcqUPYyflj3RMJk9ULqsPWGlsj2Ypas9kSedPScVnj0/daA9HYaoPVl6mj0h1YA9oEx+PQS3gD2zFYE9wRKGPSZTiT03C4w9Fk2XPf/KoT3qJqI9jN2dPeG4nj2djKQ9H72lPeu/nz0DfqA9aY+lPeHwmz00G5s9AZGdPfzsoz16T6M9DSKbPe37kj2PX409lfKIPQogkz0+jJI9ZZyLPWRXgj34lHs9Bgd5PfaKbz173nI9LkuCPVpDhz3XwoY9teh8PcLkdj0/SH49dd+EPZJzhD2Hr3Y9NTR0PZIWgD1JaYA9rNWLPatukT3z3JA9B8iQPfo9oT0MPaM9rU2aPaKpkD1r2JU9P/uXPUiLkT1brY893LGMPUyniz3OOoE9Kp2KPUeijj358489d3OPPWEsjz2TnJM91jqIPWnnhj0OhIg9XT2JPVr5hD1hAYY9wEZ9PaFdhT1E14Q9iFOIPQYgjj0gyY49m9OOPes+fT2i/Hg9zXF3PUZ0fz29t4Q92SSQPXuNkD05apI9FCOPPdlkkD31T489/KORPZNRjD1iAoc9QzqLPdt0kj1d95E91CWQPXSDiz0JHYg9WvKEPS15fD0c+2s9GdJbPYCiZT0kE3M92PN5PX6Qcz2SeVc9ZX1DPZuoGj2UPwQ90gjnPHoxsDxf+bg8t2C0PA1uqDzEW6o85neuPFtdsjw/MZ08F/2NPELonjy/nqk8qVSmPEjJqDz7vao8XVKoPBsVpjzA1KA8sTuoPCVyuTzqBLc8oUeoPJyKnTwwSqI8ExObPOXblDyrkJg8PYagPEMnnzxflpg8EEOTPPWslDyTJZg881SiPJijpzwyCKQ8IvmUPAnclzxFHKA8roqhPKrVmDxXPpQ8dtKMPEzUnTw81ag8Yh+iPP4mnDykIZY8hZ+LPNEbkjwlXJY8qqOcPIU6pTy4T6U8KUisPIqnuTzEaM88pQPaPENv2zyeHts8eAPqPDq7+TyVOQE9RekIPd1FEz0mpxU9+hUGPe/lAD1gOgA9ftL6PKRPBT2Dpgg9M20CPZjOAT0wHgo9ZsYPPXZkEz3UOhM9CxANPe1aBT34ZAo9GJsJPfpOCj2thgo9xDYLPSIfAj3h9Xc9rpolPsxWRT6jMkI+Zz4xPkbVJD4FdBU+XEYZPiNSLT4E/S8+Y6QmPijVFz4TKhE+WCIWPtQCJz4P7Sk+dpssPlnfMj5yQ0k+sclNPtM4Uz5axlI+dnFLPo3KSj4hnD0+5x8sPl2gRz6XQU0+jv9RPv5HOj5d0iE+KyolPo0dMT4B7jA+PVowPqDHSj4lJFA+aWBePnMewT7Ulbw+gF2JPoQMMj6rii4+5tJIPsZwRz6UIz4+plMgPhLuGz57iSA+lBwcPtEyFT6aHhE+vi8XPv7iPj5BLDQ+0MIUPmUTNj4ZzS8+trohPjzALj4m3z0++JhJPv45KD4nsCk+1UgxPoN2Oj6TnTk+Y+wuPl8UCj4+lhA+Z2AcPgELNz59xT4+YR0kPmOJJD6NsCo+p90zPt6ZMT73SyM+dN0YPpUpJj7XTx0+odwVPu3YFD6K5Qs+g1YoPsgmLj4fBzU+cMAxPrVcKT7kNxg+6/krPvFYLD7PeyA+eNkUPoIiJT4cvEQ+lmctPoLFHz52Qiw+IfIzPtJbOT6moTQ+MDw1PuhkLj5O1S4+bG04PiVkND7MSyk+tQoWPuJrJT6JGCg+WkcgPmlEID5fjkw+iMgVPiSnEj68HB8+7QgyPtkMOT7Z8S0++B4wPkYgND7a5Co+2i4tPpExMz6Z/h0+BRMuPiu4MT4vny0+goBHPkx5YD5mXEU+rMREPj5sRT4FtDY+8XYhPkL4DT4VXes9NdS/PVR8pz0k74w9jxlrPYegNz1UgSc9XSVLPaZ7ZD0rDZA9OVqkPR/Xwj0PjMo9PgEIPuwpFT4Zrw4+tqrtPUechz3mCRU9QSuZPGL1hTzLIIk83KSJPGGLmTyuVaA8p4eaPHT4nDzy4588JtWzPJqgvjy/PrM8mvq2PLGnwjx4UcU8htzVPBE61jznR8o8AfPPPL684Tyvt+k8dj0APagOBz1cAA89wWIVPZzmEz3WvhQ9PL4YPW/0HD2M1x89XFIbPZxmFT36fxM9sGETPSVsGD2AwR49VpojPUANNj0lIDw9SdZPPUyFUj1FxE09Tb5TPYyGXz3NzGI9quptPX1ibD3gCmc9QJ9tPcE4dz2Q7Xc9HhV2PdJ+eT3hPH09AHeCPTAJgT1qMYA90UaBPQ5/iD1RQI095NqLPciChj3wwIU9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/EEVpPQ55cj3RgXs9TxpxPQ9cbT2bQ2c903hUPURUTT1/pVg9C/ZcPTmbaz2kNmQ94FlfPYCzXj0GuFg9ZodgPRSfYT3LLWM94CRtPRXkbD1OZF890JBcPZ5VZj1ay249xOVtPbLDbD0fTWQ94SxePY8SXj3kcVw9japqPc4AcD2IZn89tX1zPWxJYz2fDV49kVdoPcNzbD2Frnc9hEiEPT3lmj1zrKA9UmeIPYiiiD2mIGE9VUJjPbKEbz3nf3g94I51PawQfT0G3o492ymVPSy8jD0S/HQ9ROh5PXWrfz1Ge4g965KHPXKxeT0tq4M9HcJ9PcIGfj2P7XY9uDJlPfrJcT3AwXg9OkWHPWYEhz3DJ4E9DkJ7PYAdbj2eEHk9N6aNPR78jD2oyYo9GCOKPWX8fz0gE2M9StptPcB+gD1zHZI9XO+KPY2EgD37V4g9c1GMPURSiT3fToI9EOlxPScldD2y0YE9kR6GPUJugT1pM3E9ozZYPTfMXD2jtIc90QKIPaPVhD2c1Hk9T5GEPewFlz0DiK49owO3PSB5qj2jG5g9SzuFPbM9fz1VSIQ9gPeEPdr0gz28ioc9/XKCPcfogj1Ba3o9WYSEPS4QiD10Qos91A+MPSqgjD2kLo49nS2EPR0Pcj3C6Vo9tTlwPUU/hj28jIU9hm6JPUurgz1DaXU9QhdlPWz5ZD3sfnA9ZxB0PafVbT1w9Ww9Uxt9PbUKbD1czmY9uqJpPSeyVD0YgEY9eIZgPSjMbT05l2g9j6VlPexAZz1mVHY9KxBuPUDtZj2W0W49UJV1PSwmZT1rBV49mVllPbQ6Zz3833g9vFtzPY4pXz3JvFs9gtRcPffyaj2qPHs995uJPfQskT0OT589RPCbPa5Tiz00bYY9S46JPactjj039Yw9JbWbPQfEqT0BYaE9xwudPcMvlT1kJ5Q9CYaRPXaIiz37lI49LnGUPbNglj1PnqQ9m2ymPfkpmT03Rps9yDqhPUbQoj3lf549zhSaPbtQjD3kMpg9BRWZPYK2lj2dG5k98gmTPQEZkT2bN5M9WBOSPQoplz07e5g946GlPfF6qT30B5w99o2WPX20jz1IGIU9lE6ZPdWJoD1/bY09K9qJPXcunj1iuJ49dTqVPbWwjT14KZk98uefPdWRoj3tuJg9trCVPdQAlD2Tr5Q9CRySPd+7iT0s1489obCXPSsFnj3GK6E9YACiPVsboD2BqZk9fEyOPR8ZiD3R1Y09U3aMPb5qgj18eXs9OH5uPawjaD26U3A9dpSBPdfWhj3fs5c9JuChPRsTjz2VBYY9usaHPUxWiD2E0o49NN6WPZgglz24kpI9LQiNPTo4kT0f46I9fUCkPQvjmT0X4aM9MuGuPToTsj18BK49026pPSZwoz1W2Z09NS6NPZ4PiD2/z3g9ZctpPSf6YT2jsII92wyCPfRfhT2Z5Yw9dcCePQY5pD2zAp898cicPb9jnT1tUqU9vC+nPYLEqT3BNKo9sWmiPR4BpT2SWK096B2uPQkYqT2/Vaw9s06oPSgjpD0empQ90O+EPb74fz1V9Yg9by+RPa4sjz2ljpc99saVPfh7hD1XMnQ9ALiEPdmwhD2Dv3491jlsPdlSWz3P3Go9V3B7PSuKgz2pQIQ9W8CEPTCHjj2F25k96xSXPYgClj2CtpA9B12NPaoIlD1XBZQ9pMWSPeeQjD2dbYQ9XfCGPYQ+hT3AMnk93C1jPc77Zj28i209GZeAPUJpjT3zS449SouYPdsalz3U25g9jHKYPelHjD3Vi4Y9tDCGPYbzjD1ppJQ9zL+bPQmFnD39qos9it6JPaQiiz0v34U9bCh2PcoIbz36kmM9Vo9yPSrJgT3YZ4g9ewSNPQeHkD1Zm5Q9q1KgPVNlpj2Q0a49toGZPX/NhT0AFno9mjpzPf3sgD3mNos9MvuHPU86hz3cGIY9VY6GPXzDgT38hIE9zFmKPUfzhz3u/IY9SaGCPfVfYj1omD09wBUYPTKACT0Dx9U84/y7PFubujxmErI8/BmgPIDFpzyiv588UTaePGeJpTxQ3Kk8/RyiPCKmkTwyjZU8/H2YPLLtojyw87I8Z1OzPA6opTzAN648uI+vPBOFqzzN76o8dIetPH3KmDyoxJQ8Ne2YPJwupDyIpJs8K7CePFRTmjzO15U82s+WPIOplDzKII08U1eNPI51kDymopQ82KKTPIttjzzCc5E8BbmaPE9Hnjz47aE81IKkPF50oDzmUJ08sjegPAewmzz7/J48JBOjPA93lzyZR5M86maTPJ/QkDyzlZg8I/ObPKirpTyNU7c8FWPMPDZ1zDw3B9Q8yjvZPBUn6TyVygE97pIRPWA5Fz0PsBc9vMEYPQ09FD0DBxE9pkIOPViLDz0o2hA9qZkQPSgzCD3g4gw9ZAATPXOaET3pMRM9yagTPfGPDT1Tlwg9nGMOPZ/4ET2CdRg96mwaPZaAFz3A5Q89KU6ZPfdfPj5R/VE+drpLPqZKOT5+JS4+568nPqsZID7Naiw+9+QnPpApET60nw4+E/EPPv4nET6Bohw+mLQnPkJELD6Nh0U+t8V4PgjlYT6pZV8+WO1XPmdgRT7FMEg+ol44Pkb3Oj5cSDI+hN83PvkHPz7bWTo+onM9Ptk1Qz62DCc+9XcoPh+PMj7D4C8+lkgoPvvmeD4qM6M+0Q6OPu2VRD5S5SU+sywxPo6bQD4HTyA+wy8kPhbYIj4ZDiU+pB4kPjfXKj65hB4+Ei8gPi/4FT4+liE+/nIyPohGJj5QtTY+Jx00PqLXLj6IDjM+X05DPga1Sz7QUzg+0pU9PjiXQz5tF0g+VXE6PrhSNz6oyi8+tLgjPrSdJz4HXDs+HtZIPl0KNT62ITM+Zt8qPhNOHD4E2Bk++94dPokoGz5k4x8+zLEVPvbkIz62XzQ+ZiwPPhVPFD40JjI+GIkoPr1xKj6r4yU+mJEsPlORMD5AJCA+VsoiPlXrIj70niw+g/snPv1GMz4rKz0+PKQ0PmCZNj5/yyc+azVLPoTJWT7IS2E+ApF/Pg3/iD5dolU+oCInPsEZGz4HIRw+bg4bPvfrFj4CFxs++ckzPqkyID7pfCU+S2UwPjfUMj7mrVs+YiA5PvKjID5WVx4+gSAWPpXTGj4MlTE+wmA5PuldPT41K0E+NZpAPjcVWT4pRmg+QhRbPjEfOj4Y7Qw+8lLZPZWskz3hvj09lqfoPF3WjzyNu3k8Scd+PHsqhDycb5E8c+iZPCJhnTzE55s83+maPD5kszwr8t48iKQKPbswRD1iX009mCJAPb/UDj1f+L48PtOnPMyxpDz8bLE8VZu6PCQxszwueq88Wdq1PJITtDwumac8dF+hPBL7sTx52rk8wM3CPD+VzTyatuQ8QgPrPJq96jxa6fE8x4v/PEla/TwWQgY9FPcIPcKXEz3g1hw9LDEZPT33DT3xzww9+H0PPXBjJD3reCg9ImktPYRFKD0qAiQ93PEiPQBPID0FlyY9xAIxPcliNz3F7z49VHxBPW4wVj3Tj2I9BGJYPc9NWz0kyW490NxzPbXDfj3SIoA9DK14Pd8HeD0i/nw9eA5+Pd0Lgz2ceoY9FJyEPdRRfT0P/Hs98ZF9PdCvhT3H84s92huQPToCkj1V04w9cMSLPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf5wWbD3wl3A9O6yCPdBRgD0EeG89295lPZxjTT07m0k94FZZPTgFYj3E7Fk9H9lVPXD8ZT3KnGU9C8hUPXhTXD2KTmk9JZV0PT6teD0Dm3o9zS12PRkpbj24LnQ9qIB/PXZrgD2N4X49dpZ0PUUocT0E5Hw9gJGCPZCEhz1/4Yc9D3WEPS6CaT37xmg9bmhxPY0iZD0fx2Y9l7BsPT1cfj2zVI09tReEPUutgj1E6II9jVt0PU9+cD3+qHs92SByPRq6eD21AoM9+SGDPc5Wfz1wl3Y9UJtxPelmgT1KpoQ9KwSJPSB+kD2SG5E9VXCLPbP9hz3EZ4M9RpuAPRDFfj2Kg4Y9HCqHPZ44jj2Zr4c9OjmEPV1dgz02N4M9T3WOPbE5oj0RDpY9jrKIPb/LYj2SgF09H4p1PR2ugz3D+4U9TvSBPYAYcD1K5Gs9Aa17PTxahT1m+o49RIGOPRTPjT3In4o9vYOAPVUjhT1fxno9YfpqPdKGZz2YBnQ9AESHPT/phT377oQ9eU2CPVx6kT06lqw9vYqhPb8mnj2xhZk9JdSVPTKbjz2A2ZA9r92VPVjeij12aoU9v9+CPRuohj0a4oc9gXqAPYv3cz0pHnY9xvdxPTSvcT0Vdmc9M0NsPXf6aT1jBFw9USZkPdgMfz1dJX49N7N0PVascT2Jzmk99H9hPanbZj0+Nn49+et7PRKhbj1NCm890WplPdELYj3SAF89THtZPUjwYz1ZUnE9lhhrPWEJaT02MYg9nweTPS05hj2c5Ho9RgN3PQyJbD1774Q9Oy2CPUBacz2z/XE91pxxPbilbz3Vm3g9N+VzPdk+aT2iVmc9s2tfPbunWD1ns1Y92+R8PcGckT05Fpc9MoiMPYczlj3xsIg99ceOPW4bkT25zY49nlaBPcVbgT2oPI89OdmKPcIChT0MTYQ9l+yIPWs9hj0zrIs94ImSPYU/lT0GUJY9h7WdPWY6kD31m4g9Q0+RPdAwkz1DH5I9F+Z5PUKIgT3dOI49GVKOPcD9kz0B7Jc9MSGaPRXllT1Ehow9j2SMPXwxkD3tv5A9t8ebPU0zmz2yDYc9p8hyPTtFcz0VwHQ9MimIPa0wnD3toJo9vvOPPcR8iz1l94o9sGGNPXZ2lz2HcJg9V9CdPfRznT2265s9XwmbPXdTnT3/Q5U9sKmOPSGOiD3wmIc9FZSOPcGZmz0T2p89wW2hPYnllz3iBZY9cuSOPRxLhj0MFIg9vpaOPY4SjT2LK409AsCQPdwllD1zppg99OKVPcpKmD2DH5c9tFiNPcCOij01Q409ma+NPY8LnT1cq549G7ScPTX5mT3KwJs9UgGbPdeKpD1xGaM9QcSaPT+Pkj34loo9AmOJPQBEhj01x4Q90ZmIPVWhlz1NYJs9JESXPQZEgj024309JvR2Paxggj19t4k9Zf+UPYplnD0a/Jk9OuqSPUcikT3JIZI9LF2UPT0aqD1L96k9t4GtPTfCpT3hXaM9i/qYPYGVlj0fd5Y9FQiTPaedlD2rF5c9zkCePYotpD1al6A95FiYPVFEjj1cyoM9o4yNPXlqkD3FcpM9LkSePcbElz2kJoI9/BaDPVMFhz3qh4M9tXluPSlWYj1Kr2Y9Z4N9PQ7feD1qInU9vmqHPXpWoz26t589FYqdPT3blz2gnZg9iHOfPaZjmD1Bb489X1SIPYHSiT3tp4U9dfx2PQPNeT0HrXE9YQtpPVkEbD1iR3c9I1qDPTM8iT2xXJE970+UPZkblz3p35k9UAKYPQE6iz3233k9IoKBPavygz2dCIc9BGKaPTthoD3SX5U9dFmXPUaZlT1lYZI9gT+MPdhRgD3Sj289EoVuPaHlfD2lKoc9hgORPds9lz0vKJs9zkeVPeH7kT2ZO5c9JUWkPTfQnD24k5g9R3aNPTnQhz2314w9WLWSPY21jz1LcYw9BoSHPUYOiT0K+oo9lBONPY6llT1DboI9Y4RnPXbgTj2CAD49wcYXPbc32Txyisk8ChbLPNYtzzxUosM8YDq1POcjsDwKOao8ZcqnPPUtqjwNqqk85B2OPNyBjzxaRIk8+wCKPBBUjTwr55Y8iJaqPOICozzXZLA8Zx+vPIYcqzwye6Q82zCqPEuipTwGfp88i66dPBy2nDz56qE8m16kPF08mTyWsJM8+eiXPFWElzy4A5U81aOUPBBqlDwCzJc8QNibPMN5mjwTfpg8wECOPNcSjzxBtJo8dSCkPESTpjy5uqk8++ibPIyKlDydf408o5aLPLaYkDy60ZE8lyaSPLGyijyq0Ig8BbuaPKuwrjwWdrY8wp61PJDx0TyM1uY884zoPIDk4TzPfeE82pgCPXWZGj3QWx899QIlPYC4HD37YhU9ezUMPVliDT0sLhQ9fpQSPTisHD1o9RY9pfcYPRaoHT04pRc963cPPfJFBj0MUAI9N1oCPdddBD3MEw49RJwRPZRADj2jWQw9Y9QIPXmKHj2uq4U9gqHpPY78Kj6Q6kY+NSJiPp5wTz59c0M+SJ0vPs5tFz5TZhU+1YIUPl7tHj4oLSI+CBUlPsC8Rj7C4Uc+SX5bPiVXeD779l8+xPNTPtQ8Pj6Hujg+gt4rPtyqNj6clFQ+OH9IPjLTLT6TeSg+W90fPvVlLz4SoDM+3osvPqEgLj4T2io+XCUoPsF1JD7AxzM+U/dPPiKdKj5SbiQ+tK4dPqqBKj5ltT4+bx0PPhU0ID5AEiE+wA4kPp/8Mj4xkDE+DewePmr0LT5fgyk+4KYjPqIGOj5gfEw+T3UmPgQ9Ij5AhiM+8F4lPukpLj7tgSQ+NBJBPobDNz7ceTs+owIzPmCcJT4u5CU+9vhAPum0Rj4zSjo+cGYxPuxULD7WkC8+mV0uPrHAGj4E2Ck+hKkqPqg4JD4EIB0+VfYbPkOjLD4yrDY+/b4sPjmfFT7GcQk+wQwxPlHxOz7trTc+xM8zPmCgLj7dBCA+lZUsPtsNSj5EtUY+a9dGPrRVPj48a1A+aOZHPq4ZNT5gBjs+osk7PiMHQz5VvEM+CYJaPuWmaj6hdG4++u1SPgB4Ij5YqSY+an8UPp5bFT5V3BI+86YIPlFLFD6ZJBo+8po5Pl11TD7MXDQ+9CZMPsR4GT7bsg0+0k0WPq1/ID52zyM+j4ktPp0CQj69g1s+qyZnPqc7Wj76Fmg+wNRVPlD2Bj4WCaw9KxV4PXUOKj3BPv08Ek25PNG1kTx/eps8lJ6aPGiVlTwoK5k8UV2lPM3qqDy+1aU8gCmpPNgiqjxO/bY8jVG8PJUbyDy90dI8UDfoPJP48zyksPk8fEHnPFTV2zzJk+w8zDTzPMGv9zxLxfo8PiLmPHMC3DwRrNU87XfLPMlAxTyqF8o8YAzQPKCO2TwBBOw8wAoBPavdAz0BMgQ9i/cGPSevEj3PJBU9EQcUPd70Ej3xnhY9RM0aPYSQFz3rnBM9p0EVPUm9Fj0Y3x89VvkhPegvLT2jGjQ9sKkmPQq8ID06rCE9JQ8lPZtYOT2zC0o9dh1OPY3gTT08sFc96cRePX8KZj2yL2k9uZJ4PZ1GfT38nIA9j9R2PSJBdj2Kn389YBOJPeivij2UCog9EPSEPabnhT3sz4Y90yGJPRekiT0MEIk9St2NPf7Fkj3+kpA98aiHPRj/hT0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/K03o9qmV/PQ0SeT0YdmA9jmRpPec5YT3twlY9cflVPckkWT3HgGc9e/JsPfSOcD06Nn49pXh8PcwNfD07Gns9LjSCPW3rej1CJG897EOEPQpMgj3xt3g9ozZ1PTc2cj2fa4A913mCPVqyfj1SaHM9YGd8PbvpbT1gpF09y8lXPdhwXj1t2nA9LFNxPRRIez3+5Ig9iUuIPZi8hj0q+Ic9+nWBPfgIZT0mdGA9ezRhPW7SbD2gwI09JD+TPVjZez0FjmM9c8Z0PTc8cT3mO2w93tVePRzuZz1wO4o98BaSPS15kT3WMIw9s099Pda6cj2U9nk9CnSIPZQrjz0JMpU9TKuQPepAeT2bi309h519Pc78fT2i24U9xfONPWJelz3fNJI9rrqDPRTzfz1f03M9mdB1PWfwgD16Q3c9f41xPQqIbT33c2w92tl3PXpDhT0/Joc9fz6PPTCKjD3bAIo9WMqGPSSGiT2vdos94XKBPVSTfz3zN4M9f7GAPRUtaT1dgYQ9IOqKPXApkT0q5p89E5yiPZYwiz3xaYI9xWCCPZ2ohT0qXpY9BiijPTflkz2GHpE9AVuLPaWgiD1Q7IM9tPWAPRYUgT0q8oE99f6APVwpiD28zn89+gF8PXqmeT2W2oc93p+NPeX2jT09PIo9EdJ+PVuBez2mLYM9G4R/PfMiej3jFnA9AduDPSyvgj35SXQ9iJltPTNGaT1+4GQ9QVNgPZLnYT3JY2M9zeVrPRG9bj2Wm2A9qxNwPawScz21bmI9G+dbPZwabz1GX3I9AnaFPXaSgD037oI9uvGEPTJJgT0mynw9ZFZ6PYz+cD3vsII9JluJPQNdlT1bW4Q98aV1PTovhD2kfo49A0GPPUfnlz1DRpc9iiqNPdsSkD3AR409o5qJPWWygz3kkY09X52QPdOAhz2o54E9dw2CPa7lkD3ILpM9sKOEPVd4hT3A6Ig9u/aIPXW6hD3utYU9ik2YPe9FnD3Ac4490byIPTI5gT1qWIM9a5yJPaUNjz24LI89O8SOPbVgoT1rlqw9elehPRmdmT1WMJE9i9+NPanPkD0MV409+I+JPdHnhD1nY4Q9qaGEPYSGkD0LFZw9USumPVhpqT3D0pc9OvWRPR5IkT3r4J09uJikPfCBoz0X4ZY9jVSUPa6voD1GWqo9nw2WPfZzjT2CvY095NCNPQ5Cjj0A/5o9NNOcPdr5kD3y7YE9iO+CPXbtgz0+7Io9fIaaPcJAnT2bbZg9I0+VPXkhlD3oBpc9jGGRPYyOnD0HUp49KkyfPYCYmj1Sjo89KfOKPXwNnj2sQac9IxSfPa+5mT3bdJ89gvWdPVWAqT3DzqQ9zXqePQHWlz2vvow90aqIPQooiD07EIo95KaRPYrjlD2sVpc9zcygPTwslD2gFIU9z6KEPZ2FiD2vNJA9QymZPX9nmT3lBp49QQigPWRLmT2KBZg9oF2mPSlbpz2xlLU9jzPDPTVjuj19ZZs9zpOOPdSghD0JlYE9MReNPZcyjD0QTI09zvCVPf0Dpz2ZSbU9wV+rPWYFoj3ZtZk9GvmXPV/flj0FL6E9TmWnPbH+nz0LioQ9uDZhPbkJbj0pIGo9RppjPbXuWD0qlGM929N2PWachT0QZ3g9HtR0Pcj/hT0oGaA9BtWmPWy1mj3qUI497RGKPSANjj0NlIs93RiIPT/mfz3HtoA9CsGGPT0IhD1jtIE9aEJsPfMBdj3ezoI9vOaEPdEwiT2utJI9LVGZPehTmz1x84k9Ft9+PWjbdT1FNW89aCNtPeLhgj14kZI9xOaYPaqIlz3C1pA9lZmLPYxvij2rw4I97TKBPTSPhj1v0pE9/+WHPeXEgj2xNY49BYiTPXbmkT0l45s9L+uYPT97lj2YS549jQ2qPRQhtz0djqI9PhyhPbYZmz0IpaM9aXioPTXQlz0aWpg9k/2bPQrVnT0TAJo9O+KTPbiwhD2c7XI9f0FHPbpXLj3nWyM9e/sdPXDQBz1AkcY8A/qnPBKYtjwtOcw8ZUnUPKOPxDxlDKw85SahPAj/mDyZk5Q8diqPPNPliTw92JQ8GmuePCoWljxrXY884DaRPHf5jjzijY88oC2aPF1ZmDwAJ6A8GX6jPEZbpjxKz508KQaZPDbqnTwC05E8cyCMPPl6ijwvIog8A/qNPBIKlzxoZpQ8eeCRPLYSkjwY2oY8dEqVPFkfmzyFmJc8q6KXPG8wnDzjUp486aKnPIEkojx2EZY8ybWUPFS+kTyP9Y88dcWOPNW2iDz1iZA82w2TPFYikTxqJYw8LoOTPO9KrTw317s8jPXAPBkUwTx2wNM8WBXcPF3c5zzfk/E8dRvzPGeUAj3puiY9OeEkPUAkEz1Jzhg9GpMYPfrJFT2YHBs9zg4bPV72HT0EUBg9G6sYPXGIGz0z6BA9SwoBPWHd6DyO6+08ZqvxPBxy/DxoOvA8M77mPGTh7TzKFOs8bWbqPLKx6zwF5fo8TcQhPbe6pD31ACo+xGA/Pr/ISj5TePA97z7bPUiU2z3fJr09acTXPcWWGj5Y8ig+MM0tPlY9OT5HAkM+nFhAPsTBQj4YA1M+qP9VPonGVT74FEM+vqRBPirvPz4Ifj0+OXo9PsPILz68uxo+z/kcPge5Ij7sMyI+9QQjPt7FJT7i+SM+dpYlPlHhJz50lyI+U0saPiQkFz7z8Bg+zyAYPq5fFz73RSA+HYAoPlnWJT7giDw+uVQ4Po+QKz45Izg+Cfo9PvsqMz7b/i8+risnPktXGD6ZFRw+f+gmPms1ID4PdyU+fNslPnNLLD7MVyw+ewUiPs0EKj79cjQ+jjcyPo/LLT63eRc+fZkaPu2MMj6wR0s+5GhDPklWOz7cZTs+7/9CPvpuNj5e4Ts+P2lKPry8Oj4f3Sc+0IorPmqeOD6zrCY+FBk3PsewQz5Qoy8+5P8SPv1TIj4yNCQ+wNQkPubCPT6prTo+KrIVPv+FPT5U21Q+67NrPqClcz5h2zk+DDk8PoBpNz5M3SY+r5A/PpTUQz4jKUg+l+E0PkETND7HsTE+IGg3PtOyMj65eSk+SpEkPnFLGT4H5xU+htcVPqVHFD67QBw+ERUkPmM3Pz64xkk+RkwrPqnKIT5F7ho+/ZoUPn6AMT6uQ1E+zNY/PjfVMD6brmM+sQdaPg/oND4g+Sk+TphJPmKNDz5YmBY9bO2MPBb0hzzMQ408PMaaPNiXtzxusMg8i4PIPET+yjw28sg82snSPLGS2DxvkeA8k83gPNi90zxvzMs8ow7XPBzF0zzZGs08/xjNPBbJ2TysUt888mjuPCcs7zx4qgA9l/cIPf0PBT3zmQI9cCECPdk3Bj2DDAI9x4n2PC8p5zwleN48xYjfPK3G9DzvqQI9SNoFPemsBD1ZXw49TaETPQgIDz0gIBc9gCcVPaq6ET2++hQ92K4WPfzLGD2JRRs9DPkZPewcHT1LyyM9DMsnPfnLKj3iZTM9ulQ0PSoVMz0m/zQ9K3M2PX+DRz0GRVY9CD5WPXCcWz1UBmU9YTF5PccQdj0VhXc9SKBzPUlzfz3TG4E914eAPX/PfD0oMIM99DGNPXiFlj2MLpQ9FH6MPWlEhT2ohYU9Iv+JPRTyhD1U1oY9V0aEPdWLgD1GfYQ9f+qKPQ19jT3DAJE9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/np1VPZpTWz1NjF89fX5ZPSESVT3AMls9jZBhPcixXD2Dvmo9fqx8PcQIgz3ogXk9jeBjPTlVfD0OvXQ9a4JrPXWmaz2duX89Aml9Pds6cD0iH2o9PR9pPcj4bz0CEoc9cw+HPT8HcT0kFG49UGxoPaKrcT02G4Q900aKPbEQej0sfIA9hOt8PVA6gj3OG4w9DhiIPUo/gT20YoA95/+EPesZdj3X5HE9UQNuPfPQhj2Wx5E9BOKWPdwThj1ycXI9c99pPVc6bj1gO209iUpvPeqRdT2ZKX89vExxPb4jbD2WMoE9OSp/PSagcj0SGm09Q6SEPb7Gjz1oKI09JU+HPdBfhj39dok9cveYPUONkz3HS4w9uoSRPSYmlD2uDYE9rXJ5PUuShD2m+oU90cmBPSaGaj1OM3M9KdJ0PT+5dj1D1389wzWCPT69cD3Ji4E9BA2PPXRXkz0/cI89dXCEPesggj0OlYY9mm+DPTl8fT0srHQ9X/6DPQqchT3o5Xk9a7WDPSetjD3xHo09WI+BPT5Daz3ijGE9WCeDPUwcmz3CZKE9fjSwPRqOxD2wxa09jNWKPTKZfj24EHk9aUKDPSe5iT1lWY49fyKQPRzjiD0Hf4U93XqDPdBEij1WrYY9MaqDPQGYkj3flJo9ECWXPSmsjz1++4g955p+PbH2aT3smWE9rQ5qPaXFez0SSn49KTxuPWCxbz3h3mw9p798Pb3ngj2lUHo9dxtnPW0cZT0gMms9A5+EPQm2iD1gDYA9fhaGPUWthj3QZYc9tchtPbPraD1nOo0903KQPZNqgT1+83k91SeIPaValD1o0JA9dw+LPU9PhD3AAYI9ZS5rPX9/bj06KYQ9UsSRPWr2nz2hkKM9wh6ePblmlT1hTpc9phiPPZrNjj3dcpA9T/yVPZCajz1sxZs9/j+oPQ5inz0HB5w9+fWTPUX8jD1BKY09W36WPQf0lT24IJU9keGPPWLdij1gbYk9i4KMPQGUkT2o45E9QyOLPaAJlj3yRaI95IqiPR43sD2R37Q9qqW5PUJDnT0GLJM95NeTPbk7jz3sII09o3OEPVUChj2fL5Q9eEegPbM8oj0X76M9wQ+qPd8cnT2e3ps9M8ecPVyGjD3aO4o9H9eMPdQjlT30OZQ9rBiRPSM0pT1HEqY9jkuiPYbXnT3KRJc9XhWTPXmEkj30Bpo9WNGRPRcwjT01DIk9+81tPa6ceT3Qs4E9zViMPe2egz10Y4M9aTOOPU0XnT2HuJ89t9GlPUOpmz0kWJE9PpCYPVlxqD2TDqY9AqeZPbeyjz2WZpE9pJmbPbmKnj0+x549mUilPU2Wrz0o5bE9/IyhPXL5iz24HI09pcqTPTPBlT1zjZM9dByQPe0RjT0y7YU9dF9/PZNjfT3ayIE9LxqPPU6zkT38KYs9Ypx/PTp6ij24AZo9InaaPZOgnz0Q05o9d+6ZPTD3pT0tw6M9TKufPXmjoz0oPJo9W1SSPcn1iT09PIY9gGGRPfZnjT0QbY89IFSUPcW5lT0lW5s9Bi6ZPYbPmz1LPps9iW6hPd+Gpj1d3Z097PyePZKLnD0mnZY93nyKPSSthz3E2Gw9gqN4PUFYjT33m4I97QZpPXr4cj1N6YU9Z4GCPfO4iT0WxJM98G2cPdHbhj2P2XQ9fAd2PRbnhT2J7ZM9JRuVPW5rjT3ddpM9w5ySPRbWkT07R5Q9SW6NPejqhj1y2n49DfmHPYgtjz3LN5I9pEKQPdIwij3GCIU9D5hmPe5VTj3wcWA9ShCHPfS0ij2dcYc9s/J5PUozbT2NY1894Yl0PbjXjT0sgIk9Np6IPWpsij2zkY49g6KLPX49jD2YNI8986KdPVLxoj2DHJw9h2SYPSrjiz1wY4w9qOeLPZ5LiD3stYs9esScPYmYpT3AMJc9u5eMPUp+iz0mvY49uVSLPXfDhD1YuIg982x/PRSsaj0MWWI9iv5CPRqRGz3nTBI9VV4JPYg1Bj3Ki/I8LZK/PB4Utzxn/LU863utPFF+rDyj/ZU8Kb+aPKPgoDyhLY082GyLPBOOjDxwb4s8S5yQPC4gnDx0nps8nfqgPLwdozwvEp0896CaPNh8jzxCwY08Q3CWPOXimDzf75Q811GKPDQwjDzjspM8I2SWPEfRljxD6Jc8wCiOPESQiTwXh4k8OLSJPAytiTwfKJM8MKGUPO3BizyY8ZA8EmunPFkTrTzIpak8MD+cPMOApDzuaJg8uPKVPAXBmDwlAJw8yF6TPI9ijDyg9o4838CQPA9QkDw6lpY8VDKOPHQ6mDyl2aU87TG7PL98vjzRPrU8gxG3PAS1wjz3TNo8xBzuPJke9DzHTxI9nX87PfAtOz1BLSA9KpYgPb3bHD0HVhI9V9MNPbZPDD1xTw09k0D7PNf99jzbRe88OkDXPH6KyzwZjNM8XyTMPDpXzDw7BeM8pnj+PKlw6zz3Ce08FQTxPNhz8DxbSew8rZj7PGhQCT26ZwI9HgQwPYepMD28dyI9Zho2PRU/FT17wNc8d6/rPFh2Aj2IGo89dx4VPv6cIz6CGg4++aHcPfnJ9T2AMRw+1KBBPoC7Mz67rio+zCRDPkk7Qj7it0Y+ii1JPol5Mj4yxDg+xXAzPnXhMD4DvSU+KQshPj1qHz796hg+Y2QjPtmYKj7acyQ+BLgZPl92Ij7ozCo+AY0fPuw4Gz5+pRg+jOEcPncqJj74+SU+0ZlRPggRTT4NkzY+xSkmPqnPLz6awSw+fu4dPj2cHT7d8hE+fZAQPl72Gz45Bh8+p74mPrr6JD4EfSU+p8ckPnDXHz6YyhM+BaMSPkvNGj5iUjo+Qjs8PnuMHD5BUBw+u2Y7PkwqWz6zn0M+mVMkPjwILT7qkDg+2G49PoryNT6qnis+aK8sPs5gLz7qAjE+mAsvPkrMQD6hnkw+l6QqPsr/FD7phiM+lp8dPnqaHD5yaSs+pjEpPlNlJj4f7js+Oz8qPgLdVD4mHZY+mQszPqRfFD5ZsSk+QwspPr0KJz6XRig+vEsyPrdbJD6zoi4+1tQsPtpoLT7aLiI+01YbPiusJj5q9xw+k9IVPjdCFz6i9CE+iYg3PohBVT7wmUo+dJ9DPsfbQj7i2TA+uwkmPvS5Gz6tfyY+SRJFPpPWRz7uIy4+R9opPg+lDD7bF6I9hwBXPYyPSj03DgY9uPynPIOVrzzKnrM800+1PL0QtjyGJ7w8hbC+PJO6vjxNu8I8WtDJPEfpzDwNh9w8CT7dPAjc8jwiZ/o8M0bwPGGC7zySbfY8S+EDPX9WAz06hwQ9v5wOPaa2Ej0L4BQ9JtYIPfomEj3CxBs9JgMaPcVtGT06yxk9qL4YPQKNDz3Jrww9ZNAVPVi0GD2qHiI9XlckPUFnMj21qzY9byAgPU3XGz00zCs9hqU4PVs3Pj3Lz0E92ARCPd8AQj1qKz89t1w6PTpqOj1SlD89TaNNPY9DTz2xR0s95JVUPd4oXj1QBGY9KMBnPckMaD2qknA9vrSCPW4Aiz3DrY09BSyGPSccfz2V44U9BV2PPdpyhj2aO4E99G2GPTtthT1KmII9thiMPbg0jD09goU99MKDPYnrgD3a02w9CchvPbHXgj0n3n4905B8PXuuez3Yjng9tOlzPZGNeD2utXU9n1B0PQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfz+GUT0UY2k9gK1wPQ9Vaz3f02M9fdFoPd4xaz26oWw9jSdsPVRiaz0Q3nE9pU2FPfLwgz2cwIM9j0VwPXVneD3PLIg98XONPSXDeT29yGw9PKlsPU9Vez2tsIE9b/mCPbTlij0NRWc9SCNYPVMKXz06NXc9bE+DPW2adj3AZIo9qkSdPYw+jz1kiIQ96yeMPTKogD26WHU9p1Z2PT8DdD2AEWY9NSVePRNqZD0UKoU9KW6HPXyChT2C2nQ914FsPRiDZj2p0V0966dfPQKEZD3ciF09xn9aPRM4Xj3r1lo9ImNZPe6FXz2p0mY9IDl6PWAOiT3syYw9pjaRPdKxkD1xQpE97RuOPXx2kD0A0oU96U+NPW9Slz0TeI89YBaDPTnxej3jRIA9RZZ/PUTJbz3BL2k9JdNvPQNJgT2n/os9V56QPaAJkz1yRok9USKCPQFDfj2v04Q9Yb+FPTyBfz0yenE9HH95PTmJfj0lg4U9rNeFPSyEiD3e63s93ndmPcMcfD14O4M998aCPUK7hD3Hro098+KaPY0emz1frY890uWFPZ/TjD1TBJI90pdrPWkEaj2Q7X09tFmDPdz2lD25epc9pP6RPfOtlD07m4c9NemAPQsihT3Dj4U96RGBPe/ziD1cRJY9Q5abPeKunj0gRI49cbWBPQtDfj0jV4U9ESuKPV0hiz0lo4A9jPp/PY/QiD1LCoA9ElxzPWF/cT1p9G89hQZyPWxbfj3iDIM9FDSDPW2thD37do89eTCIPUY0iz1qTZE9eiqSPYVXjD1VXos9ObiOPXPTij1xVYU9f8SDPe2djD2S85U9tJiXPfAhgz1VeXQ9YCR1PWp8gT1yXow91AiTPfNGkz3wS449E8WMPSooiT1g3Y09i12gPZyKpz2E/Z09Q6eaPXAylz3gFKM9DyefPbWwkT3ZGJU9nieXPUqOnj2gyJs9DhyjPdVjmT35qIM9tsV9PZ6FdT3U1H89wTaKPaSyjz1yrqg9ae6uPXlmsj1Iiac9nGafPQKdlz2udJw9YKqiPfgeqT1CZKY9xvmmPejpnj1nhp89krOVPaDwkj2e2JE9tS6YPQOBoT0mWqs9H1O0PeXOpz0NQaI96jaiPQUwmD00u5M9A0efPRVdpT3biaQ9N4OyPcjYtT0j5KQ9fP2ePRDslj3M8Jg9JlSZPeUvkD2Ac3g9hk2APbjqgD3aC4c9EpCGPZa4ij0ICIM90KmDPU2zgj24gIY93cOGPRQqkj076Jc9u9SYPSnenD2L76A9qXWfPcfOmz3JPqY9XrusPbWzqD2IMZo9o96UPd6aoj3BSKc9TnKsPSrYsD05jaQ9zWaUPfoQkz3llZM9jVeVPZJZlD08wo09kmmIPbjXhD34Ooo9iy+LPUxJkz3eCpc9gimLPYIVhz0rYII9RRuEPZXwhz2R3JE9pk2gPYgqoT2OXZY9h9uZPQpOnz0nLaE9gYycPUoanz2NzZo9raqWPWHpjz2885M9OVGUPWcLkz0pWZs9I8OePRsdoj3VAps9urGiPYrZkj0cSIs9wYKRPaEfoj2Gzq89xrihPaOdlD3b+o89zeeMPfJihz1zYIU9a2SKPdJwiT2EkXM9gWRwPfR3aT1SnGc9uc5gPQ6mgj0MaIk97LKGPRvxdz2EhHo9p+WJPQlmiz0v6YY9HBKEPT8AeD2zG4I9dFWjPWhGnz1W7JA9IGuHPROSej1e34Q97iuHPW6dgT3mKYY9GAqFPVhwgT2h43o9KCGEPaOyhz2/coo9L3WJPQUaiD1oRYc9Hkp7PdqngD2UZIE98RqCPTVoiD2M/Ig97ZOOPUCekT1SRZQ9BpCTPaIGjz3lS5c9Im2TPeZyij3W4IM9xsyAPQcefT0qN309RmF6PW9+jz0gGJY9Sq6ZPZierj1/85g9BL+LPeBOiT0Utow9nt6JPTuicD3Rr3U91nN3Pf2dVT0gpS09fg4jPQ1oDD3X3u88qM3uPJBc7Tw5zd48w+HYPLr7xzxK17Y8oVKyPKLYkDw4IIM8gmSAPKbwizwOu5A8mfuYPJdCoTy4QZ48PjWbPG5gizyuMJs8K5mmPHsJnzzafZw8xsScPLbKpDwj6p08JdadPJIbpDxyI548WoeaPLjCiTxqmos8O8aQPGhimDx35po8NpuZPCqhkzyU/Yw89F2PPIqokzzJmIM88NeCPDJsjDwgQ488PUOTPAFyqTxEOK48IUKvPJD1ujwfs7c8cVKjPHxXnDyaiZ08txmcPHLvkjxOY5Q8UpiUPKPKoDyxr6c8c+WkPEHhmTxlraM8olqpPDV2tDxulsg80FDLPBGB1DzdJto8hpXvPLEBAT0oZg49VPcYPec9QT1dlDw9iqUbPVO9ET0X/RY9iEYSPaIa7jzI2sY8UkbFPIHlsTxOhK08XoSrPLJ2sjy6fL88RdTTPKBd5DyfTdY8+a/XPP8f3Dyjiuc8VWL5PBwA5Dyavek8VhMDPb/WRD3mrIk9YXZBPdBJJj1tGMs80WDEPAroujyAwqw8jPCZPJMsvTzxqwU9E8MWPTvUvz232fk97FTTPSN95j2DBQI+j7gTPoY+LT5b2Rw+JlA6PtLJRT6ytUE+W51DPrNPRD5WbyM+7EcjPvHlHD6dZg8+MHEXPp9OLD7Xkyo+aCwWPqI8Ij7jGyE+g/IgPtEqLj7qcEM+0BYnPm5YQT44KEk+Xz1FPpj7OT5sUiw+IjApPsZoMT5QKzk+ITk4PkUlLj4dVjk+mk4pPt1jET4QjRQ+4QAZPt0jFj73Sx0+r24kPqwpMj6e/jE+FC8zPpRXKT64cBA+IF8nPkiRHT5CRCs+OnFDPoMQOj4mgh8+i9cTPvq8JT4Lgzs+oyMxPj+pIz4Smiw+yhkqPm7BHj4vRCY+2DwkPmNEJD4OTyA+WdMVPi0tGD6PuSA+MqEpPmHGMD6qPSM+ve8dPtTHHD5FACI+xWYWPvNKAj5vjzA+r0slPryM/j2SDPE9N6YJPo3dJT5zjj4+daQqPk4VHj5mUBk+E5oLPv/ZED425Bo+nVZDPt+NKD6FDhM+2RsXPsEhMD7PmyE+RJIcPgJdFz5rSBc+aiciPoKJIj6AEDE+iyJKPrDmRT4f8Tk+r78tPlQFGz4jsRE+zugqPnf4Hj6gxQ4+CQnPPQh1oD2uT2I9DogAPTVRxjyes748F9e4PCdNyjyMTN48a5rZPJXZ1TwJ+9g8lxTcPJhL3zxrleE8+wHgPExL5zzR0Ow8RKMBPTxTAj2yuwg9p6oHPaeSBT2PZAY9FtcPPd+aDz3ejAs9DtsOPdlZHT2YZiM9umwoPRJxJT1vyxk9xXcaPfbhGz1LsRs93ikkPRPIJD18Eh890HIbPeeJIT23DiQ9z40vPYTsLD3gbS49tyg5PeIlMD2wCy09INkwPTUuPT1QcEY9kbhDPY8mOD1QIDY9gsI5PQYXPT1XeEI9gDREPeVmTT0Wvk89TzNVPddVYz3z13E9/tJ3PQmYfD31tX092vWCPQTqiz1gZ4492JmKPehPiD2BH4g9MQCLPdrCiz1gi5A9XP6ZPSCckz3bFpE9E3iOPZsumD0hVZc9ivOQPQv6hz3Vnog9rmSOPRktjD3FGYU9Bh6IPZx5hD2LMoQ9QpOCPYV8gj1OhIM9+RKGPaCwhj0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH97Ems9caBmPRQtXD27NWI93T9iPYRWcj2+qnY9XwxhPdV4Uj0ee1M9n5hkPcEBdj3Z4Xk9jFVxPSg7gj1gk4o9XZyMPTxmgT2UJnQ9JwqAPWC9cz24hoE9MzCJPcEjgj07H3M9aLFxPWiEdD3dqX09TPJ5PSumhj22sY49kA2HPSSvjD3AdIU9du58Pb/taj2bRXk9iRZ5PUJobD1gn1w9GytWPT0PYD2yTn491Sl6PQo6hj007JE9X8yPPSpTeD3edFg9QoFTPawgVT3b22I9tCxnPccsbD06hG09l8RyParqfj1/7X89dCSBPTkHhT2MZn09J8SDPW5RlT0V4Z09nbeTPTuggj2Q24U9ykGEPbbdez0TknQ988FvPYQaeT2zzG09lXlvPRJvfD257nU9gBZ+PYVsgj3LPZI9DZqOPbF1gz2ij38969Z4PfdIdT0nfHk9J6l4PX0PdT3KX3I9gkl8Pd1Biz2GbZA9oriOPdRyjD2lGoU9XCttPb7egj0bdok91HWTPcv1lz077Zk9iKCdPcCMnj2Mb5c9ZQaFPcM5bD0O/mk9Jop1PZp3gz0FHJQ9/DyQPc8Ggz2h6oI9Gs6IPQ/Cij1WIIk982qPPaj9jz0+C489p9yVPV3Clj13FZE9dJWVPflElj3axZU9DOyLPVuXgT1zDXY9hF1wPaVYZj0jG2M93ahuPZnpdT0T34A9C9WEPYAQhz279YY92nKTPSDSlT1OXI09IOKFPWqxgz0XyoE9d7B8PYuXhz19N5Y9KbaSPWMrjz16q449uJKIPQG0gj1LpIM9HwyHPYVYgj2+6oQ93vSSPZsLkD0ZE4U9BJSFPfvxiD0zQ449j5WLPYBoiz1lRYg9/PqCPWVxhj24uoY91I2WPfDhqz3u4rE96PacPbBvlD1TX5g9nwKqPWL3oz0qhpw9srKbPWaQmD1xiJg9tOaQPW8whD0GToA9T0uIPfjajD2yZJI9XjWUPfJvlz2ERZw9GYCqPWe8uT0UBbk9VYikPb39nj2H8KE9orKrPd8urT3I1a09r1KzPRW2uj24hLM9qhCjPYuAnj114J49dbKaPYE+nz1Y0qU9zreqPWYsvT2gK7o9a/SsPbSJnz0XHZc990GXPQfglj2tBZU9DGWUPYC/lz2n/549j++WPSnuhD1w7og9OBOBPdOLgz0dloU94FWHPVB+ij34RIc9ayCFPU20hz2tOX89QOZ8PSPVgT2QxoQ9xxqIPUqrgz1bX4U9SCmOPW7plj1i9p49pl2wPZryuD1zOKw92yeqPf3gsj2N0609VdybPcuHlT2PZJQ9+3+QPQCvkD2NkYs927aCPZxchT0FHYc9C7eHPTN8iT2kPI09rkmWPUVPkT3WnI09FqiTPcmykD08r4w9CSGKPSSAkD2oFY89X0GQPVXrjz20J449QkaYPaNbpD0kYZY93LuPPYXbjT0R7I89NPOVPSiImT0F1pY9fF2QPb88kj2oHZE9yZaNPSIUlj3TMZg9V0CZPRjomz15N649z1m7PVUArD3LMZ09OJqXPUUFmj01pZg9qZecPRC4iz1YyI49QtaQPU+Viz1UipA93FCVPbf7iT11UnI9EaB+PZPYgz0mwog9Zmp9PR28YT0stn09P5lmPfbfVD1GfV89+lWBPbIKbD2o41s9U5dqPeJcaz1f9GI9u/9yPVENhj3ymo49ir+UPYuylT1dKJc91DOOPVPzgj0f+nI9Ssp1Pc1veT0HI3k9VJaDPQpqjT1OqYs9hSiQPcPqkD1Wb4s93IWDPY7phj1Ur4k9g6+OPUkPkT1ib5M93l6cPdycnz0xlJg91aKYPY69mT3vHZU9NYuRPRbnij2O34w95AqGPc9tgz20l4g9a2aJPeYsjj2DrZM9P8eVPVONlT011JM9rMaNPYYtcD3bIVw9ebFVPbPiUj1y/1E9WxBOPfPONz0QuSA9u8kJPZvaBT04qAM9TtPVPIfKzDy819M8IVLYPGws2zzoK9c8A1q5POfepTwm6pw8qhGWPCNPlTxgRI08qqaKPIvskzwXPpY8Pb+YPO8/mjwZIqA8XICZPNvenTxg15U89BaRPLjakTwizZo8W5iSPGWTkTyLeZA8z4iUPE+ulTxTMpo89LiaPOfimzz2f5c85eSQPBbJjzx/2Ys8GKyGPHeXizyduo48Ax+PPDnjjjwYu4w8L0+QPDa5mDydjp08kWGnPLU1qTws3ao89H6kPJJNmzyb5Zg8mH+VPAJDlDzS/Y88VzaUPN35nDzFkLA8Do/HPAYLyTzI1cY8CW3JPEqxxTwAssA8aPTkPG+C6zxG0fo8lr4GPcLgED3lfR49pcUoPZ1RKj20ZSo9BGwQPVbj8jxFw+w81TfZPIIw0zwMYLk8u+GpPI+rrjyOgrI8l86wPD9Gsjz8Drs8Z0/YPM1s6Dy/vuQ8wwnZPKih3DysVes8c7HnPM2yzjxqT808AMjNPNMAzDwf0vI8PzwfPZZZCT3W1wU98G8bPd5QJj0P/gE9sDmcPHizlTyE46g8QhgFPazm+Dz50FM9ztPLPaDQ2z13wwE+N/sgPiS4Jz5TCTA+LA05Ph7kOT6mmjY+FwAsPpXtJj5lsh0+Cb0jPilLKT6LDSc+nBQmPs+oID6Eah4+l64SPu6NFz7i1SA+D5EcPj1SGz6ouB8+t5EoPlyhLj68OzY+TxAzPlvlIz7nCR0+0JckPqLZKD68XTM+G6c6PjbdOD5XejM+JwQcPkbRFz6y1xs+8rMjPmD4Gz41Og4+PLIQPmZNFz6GXi4+qSc8PuTaOD4jhCw+90cJPuzvJT42hi8+frg6PtiPLz7Ini0+SnYfPoEBDz47hyE+cJUoPp+uGD4NLBA+d6IvPhwPJz68AS4+9JInPuYHGz5kcw8+3vYXPnm5Gj59mBY+WngVPjZyHz4s9UI+VgQyPsxvGj7rDCE+fgAsPn05Ij5u1Q8+dEY6PiitID4WfwQ+H5/9PQxqCj7voC0+ilkmPstfGz4XSxw+nNoePhPpED6MQRE+pMguPkyuaD7SsjA+fiwUPiBkEz4oiSQ+vHIZPpJ9ID4+Vic+EdwmPpH6JT7n6yU+hZgpPm4VGz7weuo9bIvCPcEQlT0SvJA9Ej2HPe3/VT3s1zA9IlcgPX3ICT2dT/M8hNrwPH2N/Dx4mPI82TTtPP/L8TwU6PU8psP6PAok+Tx+6fc84kD1PF4t+zyOZwQ96Y8MPTC4Dj0A1ww9wyYNPWjCBz0COwc9RhQSPQyAEz3KNBQ9D3sVPT2WHj0UWx89R6kePZjmJj34eTA9p+oyPYF1Kz3r7io9FWQnPfh9IT0C2x89CAMhPXgrJz0JWCs9eiUvPedkMz2mFTw9VIs9PTPDNT1C6jg9azI4Pb4iOz3zU0E9aWhDPQ85Tj1EO1g9e7lWPT3xWD2xHW09IMJxPcDGaj0PUlM9MIlePUPnXz1BHFI9JOtPPQZcUT2n01o90+NhPXC0bT2SPno9tCB8PcmVgD1RKIQ9k3uGPav8ij1Lq4c9UbWHPbJkjD3SjI09q5yLPTuBmT1AW5k9LdSWPWQujz0EOpI9S6KVPTQzij3kZ3s9VLV4PXQEeT0Tk4M9KZyCPW3Bjz2fSo89IOuNPY+KiD2L04Y91mWIPRjlmj3ro549AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/bjp0PR8vej0TyX09iA9kPd+RZT07bm09vXJuPfX9cD2I5Hw9rZl3PWzMeD26AIA9g8uEPY6Lgz0VDYA936yEPZ7Ofj15JX094UB7PRdWfT2Syn89JRqHPUcwiT3uDX89WHZ0PT3OfD2zkYA9F/ODPXkVgz32xI89N5GMPe0ggT0/boE9Myx5PSNydD2pdmw9iG9/PW+xeD04hWc93CVjPWhvXz20QGE9IulyPc93cT0in3k9ZK9yPfobYz3QfFY9Kl1bPX8gaj0LDoo9Bt6VPY8rlz3LbpQ9csCMPfZuiD2EqYY94USCPeuchD1kS4Y9VoR2Pcxndz3I6oQ97IuFPerJaj14rmc9pS57PZLidT1G/GM9b0NkPS8+dz3nNXc9ZaJ0PaFodz3xAHw9MAt3PQRafT0kqJE9aSGYPStOgj0cl2c9o69nPUPlaz2/tnM9I09+PVjncj3ylXU9eZWAPTDWiD2MTJA9ineVPVM2lz2XY5g9EQyTPZvhjD3tkok9SvOKPYY7kj2f36U9M8mtPce4mz1Je4o9sbCLPQrtij1JY4U9WD+APWl2iD2zWZU9gISTPaTBij31Pow9WtuKPcdjjz2pLJY9S8KVPTxXmz31O5Q9SGqSPUy7mD0XNZ09EPGVPRCHlz35H409ACKGPWXqhj3eNIQ98JOEPbCfiT0wEoY9gJqDPWYqdj3Vw3U9dpWCPU3QhT0RRYg9x+yJPQsUiT3+u4g96JiJPRpceD2pgGw9ZTVvPTJHgz0LxIk9rPiGPUQUdD1hI3I9GbZzPdmRdj09Wns9CkF6Pddccj0H83g9Agx8PUYJjj2VVY09gwyHPdhchT2ssoA9kxKEPeBNjj3hQY897V6JPSf1jD2twJU9UzKVPchfkj2g0ZY9FM+bPbjqmT3w0ps9StWgPSq+nj01BZQ94kSMPdzZjj1L5o49LqePPV/jlD0dIZI9tJePPZ3Kjj0n8ZI9R7GRPWfqlD3VK5k94BWcPYyjnj2coqU9x9ajPUdOoz28CJ89DjmjPU+Vtz24Yq89kuWoPcWNpj1+1qY9MrmkPZy4rD1FUqc9k+uhPSYtnD2WZ549XDulPfbBlD3ex5c92QyaPUwPmT0g8pQ9u82NPQdyhz3twoo9o7SNPV8tmT0tNZ89Z1ORPRjUiz3f1YI9/z2EPaXUhz0ua409WW6TPXGwkD0g3ow9Nd6NPag2jj3DWoA94MRuPTRTaD0q2Wo9QkB1PQ8ogD3aMHc9bUV8PeJHkj25Z5Y9nhaQPUtjhz3ImZA9gdSUPQa/lj3uLZY9AG2UPX+ekD0rOZw923WSPVPCiD0oO449eY+LPbIxgj0IKYw9VzuVPe4InD26IpU9VpSPPdo2lD1LNJA98x2HPTFvjD04WJI9ADGVPSElnT1xJqk9OUSaPQF7lD2SN5Q9Ji2TPT4Znj0LQqE97oCXPUX5kD1N7o495uaIPSJcgj2MH449CEmVPdvpmD1qi5c9KP2VPWVJkj3BP5Q9VD6TPZ/Gpz0sNq091K24PWI0qj1mk5g9tsGSPe8DjT25E4k9Gm2CPdEOeT3VH4g9Z4iSPQ9pkD1SuYo9PxCNPW1biz2qKJA9RdmBPaxJej0/pHU9d9FwPSPSdT0WA3Q92rNyPSZadD1cJmo9k5NVPar/Rj3CST89uv9RPaNVez3pnX89pAlxPSEPdT1khHw9XB6BPVwIej1PNn49lziDPWa/hT3Z+Ig9ahSMPdQQhj1epIY9hmuIPVZhjj08XJ89fd2YPSftlD0RiZk9DEGZPZrejT1VBZM9qWSZPSoTmj2olJw92omiPTxiqT2qKKw9I4+ePYYOjz3xeoo9D/SIPQ5CkT2bmY49H9yXPVpHjD2icII9i62EPa/BhD3uk4M9r+qEPRRWgD1FrHg9atFtPWxjdj2gbmI9BU5APbCFNj06QzQ9Sd0ePZfXFj3uDw89QykPPUCqDT1gzQU95gT1PJ631DwFZMA8R9yjPHGCojzKr6Y8L7S6PEZ6rTzV+qA80hmiPPGlnTzNHZk8vM2XPEJTjTzYqJA8U7KTPFk9kDyf+Is8DmeNPGP7nDzZe488prSaPGp7nDx2j5k8OuaKPBRxkzyNYpI81AWRPDFFmjzypZs8H6mePDj9lTxORpc8D3ykPEgymTwgd5E8Px+HPFDBjjyzi4k8Z66DPO7qiTxrXoo8vMSIPI0skDypt5Q8iseSPIiejjwzeZE8zHSaPK52qzw68a08ikKhPFl3ljxynJA8fZ2HPFt0jTzQXsI85bH8PM8d5DwB++I8KHPoPIn95Dywvug8vOvrPGl19zziHfs8rucDPSBRDD3ilho9c18dPdG/FT3q6RM9jIkTPZ9mBT1TX+M8huTbPHubwzwyl7o8NmKoPLqUqjxGZrk8dCO1PHGxrjzUS7M8VE65PLsg3DyZxe08zyThPNAW4zxrCNY8aqK+PIjFszwpT7U8kkvCPKxpzjzaVcs8lrLZPF9++zzb7/s81MbePAoa5zyABO08d4nQPPVFrzxOKqg8FwSVPONjqzyDdNw8TnElPWaf1T0boCo+hy0BPma6+T0voxA+/+YxPicyPD5MWCY+ZLM6PgbnIT5pCBU+JQIUPsUBKD7jMiE+KsYoPuGDMz7HfSs+GdwXPiIoDj7oexk+Sp4cPpY2Iz46eSQ+B/klPliuLz5x5D4+i4AuPnrnJj6uaCM+0KYdPi3JHz6M+Co+DukwPq7QOT6/5Co+1pAuPml6Kj46VjA+FegrPiyFGT6A6xc+xz0YPkhfID5OIw0+iZgNPiC6JT4e+So+kBVVPusLfT7c+zY+SxwyPh/dKT7xhyk+Er86PlEQPT7WWTw+/fM4Pg37Lz4j1Cw+xeA2Pi1QGD508RA+fl4hPpqrFz7Z5B8+4dcTPkMHDT43DC8+PQUqPloZJT5UQCM+aFIxPoq7Sj633TM+QBEjPjcEKT678Tk+B4M1PjhSFj4P3Ro+d/oXPmuqGD7s0RQ+sJsjPr0EOD4emDc+PWEePvo4HD7daRo+kJwZPrOsLj7TaTQ+iV0gPun3FD4+txA+VSATPlwxET4e6Ro+ghEvPo2SKD5UHx0+K7UMPrhSuD2YWyE9TPGwPDdvoDzlrJ88g1q7POlS2DykQ9o85LbnPMIP9DxsZfU89FrtPKeX5jzqOew83jf3PAY4AT0fsAM9AeIAPXP5Cj2RIRM9a2wRPfCuFj0F2BY9ZgYLPQ/xCj3DzA49Ry0IPfrP/jwyNPc8E3wAPcdKCT2BWg89smIYPVLmHj0T1SE9TuUcPdnrIz2dYCg9Re4kPWmkJz2vTSY9x1goPRjvLT23WC09qjksPaDaKj2r6y09ifA1PTKWMj3ZtS89jxw/PWfoRz12UUY9WGdFPconRj3fu0U9OhpLPaB+UD0nzFY9irJTPQv9Tz1+BV09GINyPagabj2jR2c9KLxXPUtTUD23J1g9V+hMPS6ZRz17Oko9HwVVPYlVWj0maWM9wad6PY2qez14+349gIR8Pf96fT03sn894SN0Pf0IfD0dkII9qgWJPaIIiT3kSYY9w8qJPY/pgz1YE4E9UCGCPQ/QhT21uII9fKOCPY/pgz0bL4Q93tCHPXF6kj0+P5g9k5GMPQbgjT3Ifos9yJaIPUScij2lVZk9HRmcPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/0yez1O0IE9Z4CCPT32az1DeWo9uAR4PUeffT14FW49JzyFPcGajD0+vYY9N1iEPShThT2Ttmw97jVnPclffT3olYA9uZSAPQq+ij1/+JU964GFPbHbdz0ch3Q9DTNxPcficj0XO4I9FJ2HPYVojT3cBok9IYuSPQ39jz15iIM9kCd+PUdybT3Qs189yQRgPZN9cD3r2IM9ciSGPT1MaD2HLlk9vk9hPZrScz2f5HY9ig5oPdgrXT1nIGM99yhtPZbtdD0iGXw9ztOCPUqqfT0RH3w9+L5vPYfpiz1kBZI9zRSJPVBahz3rSIs9bfWKPRJ9eT3RlF096mFsPcI/cj0aNms9fjl6PXtMcD14p1g9/MBcPfF9fz3Tz4Y9jsaHPXoBcz37FHo9rsWHPbu1gj13RIA9DjeNPZp+ij0SVHA9mI9kPSfBeT1EI4I9qi15PQ+QhT0ULoM9p0SHPTDalD03CZg9Ny+VPY7IlT3gKJk9uieVPfkCjT1p74o9+42GPZHMhz1x/pA9YaaRPdpOlD1PqpU9QqqUPccEiD32cI89+ZSMPVWUhj3SY4Y9vhKWPUIMnT3AR5s9PDeaPbrymz1ESZw9ToSVPcmJlD0swqk9q0yrPRbZnz0H1549dJepPa/+pT1NEJk9p7eGPTWdeT1B7Gw9YVCIPXWvkD1fiI09m8SAPWHIeT1BwHc9OutuPdKtgD0bz4Y9uzWKPUY5iT3PxIc9MyyKPZVwkj2NbHg9CntZPX0AWj2PWV09ZIZlPbebYj0C72s9PimAPUV7hz0FqYY9IxyFPduLhj045YE9He1/Pai5fz33lIE9DHWFPfaTgj1XXY09XeKRPSvsmj1XD509+36gPTRvlT0rJ5M9HHuaPSDmoD2OCaA9HsumPZPksj1DsKw9ej2jPUg8qD3blZ89NWOIPWhKij2ypZw9hVybPbBTnT3mN589q+GVPWA1lT0cOJ894lymPZkqsT2ubrI9n1i1PTkWsz2LtbE9zf28PcVwpj0ee6Q9A+OtPWgBsD2Bi7U9sAe3PfK3oz0k6qI9b6ylPcXnsD1/i8k9XV6vPQYFnT0OcJY9nciMPfSdhz3pg4k9mZKQPSNOmT0h7JY9Y82YPWWyjj1cdog9M+2MPRoZkj2klZU94UyUPYr9hz06sIc9LCuDPQbKgj0EpYc93WGTPYB5kj0au4o9k+eBPcDZhD3/HIQ9e0V+PUSuZz2LInM9YkqDPbRDhj3PaYg9v31/PbZ9cT3NcXw9FdxnPTmWWz3gimI9z4tzPR87hz15YI49gUGUPfBRlj1J05k9472nPXzlqz0UPbA9lrelPQ3uoj0FGJc9snqRPTBDjj2jE5M9KhaPPU7eiD13T4Y9fnqQPWpqkz24dJE9p72XPcppmj3nmJU9JEuUPatghz0Fc4o9pbeVPQ0OmD1KdI890xWMPfvYhz0lq4M9k+WIPbwNjT3tko89wo2GPQXjgj0ESJE9lNGSPaJWiT0QcIs9B/+OPVUgkT1fwa09+Ra6PcrRtz1iAKU9QbmRPd3UiT3+mHw9DTJ2PaiTcT2gxnc9vz+DPVK/gz1v1X89vJB4PSbifz3GNIg92XqUPQmakD3jmok9PJCCPW5vgT09OXw9VsiJPbo6ej2142M9Ny1RPUKoSz0Gb009Jt9cPQxacz2lEIo93kOFPXrNgT2vjX89M0WAPX35cj1EhHc9OmaJPZXsjD0AiYo9SA2TPYHxjj2ICIo9dlmPPdPpkT26lpI9XX+TPdXTjj143pI9ZlaZPSmmmj0o/449vTqLPRpXlT3pgaM9XtKuPQXQsT0LaLI9UuGlPUlUiT3yOYE9AiCIPaRjij1H45c9YoyfPfaRlT0j8IA9HX5mPeobZD3mwWs9qPxqPUEyTj0F5zc9/08nPUboJT3ZETg9GqU0PQjDGD0RixA9E54QPSAJET04mg89wnkVPbKYHz1VEBk93fkMPaasCT3dS/M8vfnXPNxyyDxokL08hVS5PNFatTw2/qA82pKgPHfEpTwWPKo8lJubPFAimTwMsJU83BySPMS7kDygsI8890+BPFV3gDyXloU8lQiIPPgAjDzMP4w8cFOXPNmtmDzkepg8URSSPKnekTxrIZc8cQKXPN2lkjyYwIk818CUPN/6jDzw24M8i7mHPP+GiDy4BIk89sKDPA6LhDwNtZI8E6CNPJXMjDwAeIs86FOMPB1aiTx844I81cidPE3ZnzwZTaM8l8WmPDnWpDwmpa88wV2nPBaypzyw/KQ874avPF1J4DyLvAQ92UUTPfC3Cz02heo8+P3pPBpAAD16mxc9ESAcPWKoFT3Xww49xw4LPbx65DwMbMs8DrrsPFap+zwJ0wM99+fsPLr6vTyZMq08wymmPI5kpjxSsq88xlbBPO7GtjzIJbY8yrbIPBTTyTx0wdw8zSHxPDs/1DxPTMQ8k+u9PEU0uTwmL7c8Q1q3PKWxvzxPIMU8hAHGPNCJ2DxmD/U8CTjkPAzIzTws/cM81XbGPC2VvjwzCbo8XKepPDGemTwI1bU8kAPZPHRF4Dy9baA93FkAPsNG/j1cOxk+5LMgPiQRLz4RtDE+wi0aPsxXHD5N/Bg+LLoKPr36FT7rUio+sHg7Pl2KKT5UAB4+8PEnPo2FID6t7xY+LeEbPiJ7Iz52BC4+GLg0PrQfNz4DRzM+fLY0PlRiKz79/yg+SK0jPrdHGT7T2iQ+cms1PquROT7k8DM+5y0mPrEUJT62hR4+56kfPobuET7jgxY+JEwdPg2DHT5OgB4+8lcIPm+kET7DZSw+aFszPsd0cD5j5og+/pw/PiUlOz7UISE+F54sPttkMz5RsQ8+tqUQPrOjMD4+nSk+PXodPgw4LD6E4C8+nJw0PpoyPj6yjCo+Hm4fPpuEGj7dpQ0+s90sPr79Kz5nARg+4iQaPpGiHj5rdiU+4hY9Pp1ZPj7cRjY+Erg2PpU3JT60WB4+zOQoPn9YID4JJCA+2vchPjjaKD56UC4+MosaPuMLKD4j7yo+kCkjPkJjKT4Xv1I+Kac+PveuKT5rmhE+3KsIPhYSDD75LBA+vTcZPi8mJT5I0BM+I4QJPhPqjj1Tebc84260PC0KnDz9XJk8n9WcPO/gsjx5FL88M3fKPBnIzDwK1tI80mjVPHGn4DyxDt48VvbhPDK87TwbVPw8U+L+PBSGAD1WpwY9PxMLPbCbED3vWRQ9TWoUPRi0DT2wXw49dfIWPUUpFD3K0wk9xLUHPRJkBj2v0As9YlwXPUomIT2fsSI9MiMjPcOFKD2MISs9IIIoPTw9JT3z3iM9fhgkPdIPJD3q5SI9C2cwPfxmNT0Cgz09Zn4/PTZMPj2hjC09Mm4sPYL5Mj1feDo9cSM+PV74Sz0BxU094DZPPffNTz14cVc9lZtUPVWeSD0GdVE9bIpuPf5VbT1hMlE9zk1TPbH5WD0LOVk9/ntkPYkWUT1BEVk9wlRePV5OZT2n6WM9ebB3PfBXez0/NnA9ic1yPSh0dz2cBnQ9ByB0PR/SeD3Jc4I9TtmBPR7Ogz1uA4o95o+LPdHhjj2S/4g9mWaFPd9EgD1b9X49A8F4PagFgj0c9YQ9/wiEPRYkgD0M44Y9puOMPYkOhD2Ncoc96sWHPZ0ciT1nCI49jX2aPUKnnD0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/OmF89zARlPQmUiD179Ys94fKJPTLvfj1vgmg9ig9uPVrKfD1fyXo9PfRzPSjwWj3yQUs9vDpdPX6lej1yDYA9qOqCPbN7gz3VLX49uDeAPcrXfj2JOXE9XD1wPTG+bD0TZoQ9YsOPPa5OjT332Y49hMSOPe9tkz1g+oY98TuBPVngfz3T6IY9otuLPbEWfz08PX49wzqIPT5Qhj3bAGw9K8hqPWpKdD1fQnM9kPZrPXV7aD3z/2o9D1lnPVJSZz0NWXI91hJ1PYD4fT1OVXw9TtltPQMWgD1hcJM9v0aSPdw8iD3CfIk9/EiMPV5Ogz2uO2I9Us9dPeF3eD014X897hJ4PRw4cz0WSIQ9Yc+EPYErgz2rMpI92k+ZPXnujD0n7G09upJ4Pbwyhj01u4w9TjSPPWSFhD2ZeIA9SDp7PbhKfT26BIY9822JPX72jT3mfIY9/++NPVTUlz2O3Io9TzKEPYsRiz1HaZI9lTqVPQ3/kD2LfpY9rBOZPbz3oz1pK509b/SfPYD8oz2kVJ495RebPbmajz2wq409ifmFPXvBiz3UPJc9kAKaPaODpT27yKg93bCZPdBHkj2P4JI9yeKSPXWsij0UMYk92xicPcPPnT02E5g9MeWXPTPuoT0k4J89iY2aPTFZkT11tYE91yZ+PVUvgD39QIQ9UwKCPafbgz1LjIk9mzuKPU8ejT1+OJU9JzuVPUJWij2mIX49V497PWNOeD1B1XE9B7pvPSpegD1pCIM9ExaGPUSHiz0RE4s9ehiFPUqCiD2SN5U9hhSXPUqelT3CMoo9aC2LPZz7hz3BZII9toCCPUQEhz1X75A9G3ugPWiDpz360rM9MBq2PaiQvj15Lrg9faakPWCulz2mL6o9Uk2mPfrQmj3ddZ89wa2rPdXWqD1J0509K2uXPUs3kD1RR6M9ICaoPRp+lD0GtJQ9Z3qUPdf5lz0D3J4988OqPbqgqD1xmqs9ulWtPc7erz0sUbw9rG62PU32pT1krqk9ZMmiPU7bmj1LBpY9qaKdPfz3pD3mvqk9+d2tPUzusj1YY6I9HU6cPf9Pjj0LPoM9EpaBPUE1gD3LW4Q9KxOJPdNlkD00npo9HoGdPVWqmj3h9ow9ZfyGPQfIlD3Khpc9qSCVPacvkD0w0Is9SZ+KPYW6hj1Xh4w97EaUPVMJoT3ET409gWV0PdOIeD1dr4A9d8x0PTtJaz2Bzn899WeQPQcNiT2FvII92vF4PcPrbD31zms94lt+PUbifD0YkG89b6JwPVmuhT0e6pg9LiCTPWktij1JsIs954mjPXLPvz0x5bE9AOCvPcKInz0xg409+xyGPVKoez2DyHA9vAGFPcwuiD1SgX49y89yPVzcfz1wh5A9R7egPWN0mT2FR5s9Ix2hPZbbjj3EoXQ9MqxqPZHXZD0VYmo9ywF3PXYkfz2xnoY9D1uEPY8lhD3CKok9ay2KPa4Fhz3naIg9O26OPRWQhz1K44Q9F+yIPWtvij2/GpA9UbanPZjZrz1ZaK094s6TPTPmdj35ZG09HQhkPUv8ZT35gW49TjlxPaOcdj2LEHw9j1OHPdwbiT0gMYg9jT6dPbyTrT0+uqs93ZK1Pdignz1rUZY91d+XPXg2kD19bnA94o5oPQ57ZD0zjGE9qhJ1PUx0gT0j7o49kkWaPQVZjj30ZYs9/16CPT0OaD0+nG496ISAPbGeiz1/7449RRCNPaoTlD2Ghps9maucPZgEnz1cNZ49myyaPWRBlD0W9Y09JtKFPQL1lj2qqJ89D5ydPcTYjj0UwYk9WxCfPY+Llz1qLpE9R3iMPTcyhT3B6oA9EM2HPbZIlj1dYJk9pJiLPQ9phT22V349usBnPSMwZz31XWk9TfBZPTwBRT3ivyo957ckPV1zJD3RlyQ942wlPcg8Hz2Puw09f0gKPdmHCz1E5ww9t78YPV7nHD1g0x89A88UPYADFD3oOhI9TJb0PGK9yzyzPbw8U3StPKshpjwgM6Y8cEGlPODjnDwbIJg88EqhPNyLmjzAKZs8/9OlPE54pTz5b5481luSPJ29fjxT+IE8OjiUPLq8jzzSBI48juaLPDrHhjywc4k8R7WRPMjIkzyscIw80gaIPEhGjzwiKYw8jQ+DPGV2hTy80oA8iKF7PNkIijwt/Yg8yiiCPD0ihDxI9oo8l9iJPMMFaDwX/GU8vNVrPECnfTywvXM8/NmLPFYXqjzybqo8IkGpPP+ZnDw0HZs8BvC7PDlpxDyJ+ck8wgTKPNMesDzDpLs8HJMWPTJ1Qz37wy49lGQEPb9TBz1Wggs9HW8mPWG3HD0SIQ49aF3oPBhh2DwWgNQ8G8HyPCP5CD2FrgA9rU3FPNfapjwPPak8bvGYPDglpzyPLao8DBSzPFiDvDzooro8bWy0PBEkyDxhttA8tiLePFE97jwdjdo88cLGPA4l1zxCIt888iYCPRQu4DxbpsQ8iIfPPMF3xTzo18w8y5fNPJyTwDwl+cg84Vy7PAu1uTzlkrw8mCHMPI810jwhy3g9KaeTPS8jHT3RNVA9JQ3QPbzjAD6o0BE+4SUaPphhHz5Pzig+P/kuPguWGj4QTx0+Td0VPrxPDj7+CRQ+q88zPs+jPj6W4yU+rokqPv6mMD4tXCc+ss4iPrzFKD4Fqh4+y9QjPkLOIz4KLiI+8LgjPj1WJD5bPzI+uyYuPkGjIz7y/is+Zl4/PtR9Oj4cJzg+nwkgPlxdGT6LTiE+kXkmPgfyJD7i1x4+0bglPgl4KT49sic+pBsRPmZEED69Jxg+DFsVPro9DD7YyiY+qPZRPoUIQj4yVTQ+EsBhPlYPdj7yfEE+OUoXPgngHD5SoC8+Q2YyPlGMNT4qvkU+Be1IPhz8Mz5UhyU+Db4sPg/gKD4daio+xQAuPvzNJz48yhw++OUpPgh/Kj5z1CM+AU4gPhM9Kj731kY+8hcsPtgFJj5Z5iU++/wOPrqRKD7XDyg+Jt4cPu0jHT62mhs+mRIQPvg1IT6TEEI+nsk5PlgGNj4mtDM+fe5QPrIeRz5hgjw+dbQnPrfFID4jThw+q5AOPnNuCD6f0P09iw+3PdYnmj2JOjY96h+NPMnxhjxF34Y8GR6JPA0fjDxxxKE8mrqwPGMYwTzG68M8WpHDPJXIxTwoet48w7TjPJlH5Dw0Suw8bzruPPIH7jy8l/c8YWEKPZeaCD2flQQ9NYQPPYd8Ej28vBQ9m5wOPeWHGD34RCY9V78lPZwjJT23PCY99+YkPYbdKT3+9So9riwmPcqmJT0A3So9k/0sPehMKz2gyyw91wYxPfNsMz0HKjk9TzQtPanCKj0cGzI9KGk6PQYpOz1AXzc9dw4zPZkqPz23S0496c5UPa4dUT2BvkI9SCxQPcFfXj0yA1E9qdNFPaoZUz1CjFM9Hz9SPd4JYj3AUGU9VAtGPTeCRD3n2Uc9a39fPf5sZj0roE49KPZhPaOZYj1sYGA9Ts1gPRbAbz35koM97D6NPUMTjD2GQoM9cydvPRPTgT1oZoM9MPJ9PTazfD20wIE9zPOJPaCshT1VkYU9aSqIPel3iD3H1oQ9/+h5PS0egT2Cm4I9QdF8PcgAfD2h2X49/nmAPTcShz1XfIo9EvR/PT1ifj1R5Xw9zcSBPYnUij0Oa4w9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/vGxYPa76cT0/qHk9oZB6PR8vaT37dGc96K9sPUNaez3sXFg9TiFQPYv2Tj2+JVQ9vO5xPYf0gj09u4s9w8yIPd+gej3C4XY9hsp2PeFyiT1k44c9tzV/Pc58gz2Rq4Y9/AOAPdD2Yj0yUIM9KF+FPcVBgT1MZ4I96cl5PSSJiT1Uso09i2iMPYb7jj1t5Y89Yo6CPdWbcT3lKXc9ClplPc1qdz1Cv4E9R96OPanXYz1b3GA9V/hgPapwbz1FfHc9SjVmPZaxXT1Lanc966CCPec6hD05g4U9MRKaPeUUhD1sK3M9iYRoPY1HXD3GNVs93KBuPYTSaz3T7IA9sZCGPdOAiD3Th4k9FNiCPSxShD0dt3c9+Dp2PfFBdz2E4nU9+QCAPbAAgj0a8oQ9fLSLPWc2lj1fDZo9+hurPRZ/mD33NoA9aQ1uPcvpcT24l3M9QrhzPSUOgD32I5E915KTPU2TkD1W2JA93YOUPfmnlD2kaJg9u4CWPdAckD0wQI89DEyVPUbLqD1ib6Y9KDigPen9mD0owpQ9zEaGPXIVkT0thaQ9SNGrPQHMuz033Lo9wcSoPUHOlD2+8Yk9iGaLPb6Zjz1bsZI9i8mePbDSoD135po97yeePeeIoD3oAJ89hKeXPRRgjz0G2oQ9Md+IPQOnjj3qipA9tKGXPTaJmj3wEIo97Y6JPQwTlj34PZQ9jw2FPdBgZD3H8Fo9aq5yPRfsgT2KRX490eRyPZZDfD0MX4Q9GnOFPdLAhj0hAok9qNaSPSwijT2HAYE9UC2LPRbZjD1K4Is9VpKHPWOjij0+PpE9afSRPZUamD1dR5w9+IOmPXbHrz2rXbI94kC0PRFQsT3mD649QQWrPR0wqz2dY5w9l5KPPZswjT3/JYo9GTiTPTJxoz2Im6E9ef6QPa8LjT2JF4k9vnSKPdfQlD3Np509T7uRPfDPjj3RvZE9vSuWPSx4lz3iZJk9WN2hPVHwoT1GhqY9W+2uPb0dqT2KQ6E9QQanPYd/qz0gR6Q9IRiaPe+Fnz0yzq89c0egPcD8mj3yOJg97rGLPZ4Wfz2Cb389uylyPR/eaj2ZG4A95N6LPdwZhj0kwoM9JiGIPd6ciz3rtIg96UyMPaZVkD24MY49+A2TPXZNlD0mJ4k9kKaDPYtclT1xUK09Zl6mPYm5nz1p0Jk93EqHPZ53ez3HcHY9uI98PZOcdT0Yp3o9uZuEPSjejD1WCYc9CKuDPWJChT3HK4c99o+GPSEmiT3Hh4o93pqUPRZ9mj1oHqM96KqgPSZNhj0tV4w9fcKYPdFMpT18/p49B6SsPW9+pj35+4U9A452PRZoez2BKHw9B9uDPfNohT1As4M9RT6APdyBgz33joo9Jl2dPZPlkz1XV5E9BsuIPVu/hT0NiYE9yR96PUekgz0aZ4Q9FZ6IPZp3ij2jLIs99YuZPZFVlj3cRJA98HCQPVyPkj2IMpE9ox6WPVRShz2VUXs9xzGFPZRMij2sbJQ9ot2QPY6Ohj2TnHU95ehsPTMebT2EGIM9fKB7PZhMfT0XxoM9WEqCPX5Hfj0u3XQ9N7yAPdtSkT2jIJs9U/CoPaN+rT1xA6Q9qAOkPbzwnT0hEow9o958PTYydz35xXg9/mWFPZxHkz3gXZM9LH+XPS4Wmj1AMJY9wf+RPQwjlj17OZU9GvOJPUlPhz3253g9RlOHPQn5mT2d56U9te2oPeUlqD3gl5k9Tl6dPY8knD0MeZo9FeuVPTz/lD1zO5Q9Ut+aPWZ4nD0eFZs9AYeWPcgWlT3LYI89YsmNPd4UlT3W9ZM90xOIPSq2hD2D0nk9E6aAPcOkgz2rjoU9MYOFPbm0hD3WA3s93vFkPa65Xz0CKGA9DQFDPRU8Oz3D4SU9eo8hPXcNHz1zsBo9Yi8YPRD7FD2/ag09b10WPdxQHT0yBhc9B2UEPbQdCD1hbhA90EcCPd0C2zwUfMU8uvXHPMQOwjzNoKw8hB6dPFWrkDzV8ZI8fFOXPHm5ljypMZM8+yCOPFo2kzxs0pA8HMiaPFOyoTx/s7c8lDWvPKkcjDyAFYA8EsaDPJ6njzyuNpM8u0KUPOGNiDyQc4U8g+mIPNiMjDwWzYU8ZOBuPBh1eDzSMIE8gJN6PORcdDxHRX48hSmIPOejkjw8sZA8fBuOPIG8kDyraoo8YTWFPCLWhjxnPW48dEJrPMmucDzZXoI86sONPCeAkjxvEKA8DD6lPDFArjzGAKs8QEyuPESXpzwTxLc88s/FPCCmzjyKltA8Qj3lPHJkDj0Uxhc9Ku0GPVRq4TyK5uY8mqwCPVjkCz3QGes87cfRPFQJwTyEk9E8rF/ePLRLyDzkAKs8iRauPKugqDwjT6Y8/9WqPBO5uTxxa8k8IbLOPC0u2TxvqO88z0nyPKRc4jyZ7d4891rXPHnp0zzEN8k8OK7BPK2FtDyE6L08rDvEPKvmzDx3DMM8g17HPJB9xTwJRMM8/O7EPKMhxTwJy8I8MtTNPGmPuzyFJak8jAKvPJZHyzyDLyw9LMnhPd+10T3Wip49laWkPdb3pT0LQuU9YhcIPsQyFT7mvg0+vRIJPhWLFz5N8Rc+22VqPrEkPj6InyE+pZIwPqDYKT720yY+ycc3PsgiKj442ic+IFQdPqAwHT7XqiE+45IRPoFBKj7emzU+3cM5PuBnMj6nCyo+hI9UPm3FUT4VnT8+rAs1Prl/JT6QUCU++dwwPsd3Jz7SQBc+EmIWPr6gLT7kTiA+UXsfPpuzHT7CRiU+H0MuPq3kFz4QMEA+iuR3PoHSOj7J3B8+P/MzPpF8WT68Cjs+sb0tPu+5Ij53aRk+WGIcPtuNMD5NhSw+mSQuPkWHOD4yYzs+AXkxPswoRj7u7mk+/xJMPqY6QD40lDA+J2gpPq8pIj6gJQ0+wecZPsPZQD4aIUc+lOQ3PvuQKz51FzM+xaA8Pqp6KD7QNSI+JU8fPliCGT7Fcx8+V8EgPiz4Fz54ER0+ZwYiPt2yIT6wtiw+rj09PqSWMD6LGi8+8AM5PguVWj4Wxko+FtYhPsAsAz7CrtI9s3yqPf+aPD1UvhY9MQXuPEBWzTxcsc88zlLHPFa8vTwil8k8h7LjPAbX3jwrPdI893rQPG364zyTeO48FNn2PHIiBz3t+wo9ejQIPYu1BD2BhQU9Z6MBPZoMDD31cBE9t6waPR4DFD3FnA49fRAQPZ3PET108xU99wAWPbd0FD1Ymxg94CkiPQw2JT0QECc95kkhPQTYHz1gVB89ZgAiPRjOLT2rFCk9udglPTNUKz0W0zM96Ss4PSSNLz1Gwyw9mdsvPWiBLD0W0TU9SDQ1PQDJNj0HXTM94K8xPew7Mj295EQ9rK9RPTDeQz14KUY9dpNEPbt5ST0Rh0U9j+czPaUpNz3O3Do9Su1CPThoUD0Li0c9gOc6PWABPT1/xkg96z1QPSlkTz3oAl49zHhgPe+Xcz26dno90tqCPQeggj2aAXs96KR8PbFQgD2tuoE9Y/Z8PSrodT37BX49Aft6PTANfT0Piok9UTeNPUrEiD3uB3w9BT97PZJScz3jnXU9iUaBPTpMej32FYI9IJWJPYughz0fk4Y9g1iFPb1LhD3lsoE9imOBPSi4aj36qXE94LV4PTm6bD1zCmw9F7tsPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/43iXPaaJjT2zGok9eXZyPdCaaD0XWmk9z+loPYO1aD1jOYA9VUWBPUBAfT3p0IM9LXZ/PWs4az1UhWg9GPyNPa7Djj0DBns9ZYZ0PVtxdj19H4Y9ACCHPR/fhD26Y4E9e9eBPcjcfz1h/Xk9MnSDPZs+gD3Y+3o9dNKDPRtRiz2aj509ZJygPWq5nz0LAJw9p8SRPYc4gD3zSmk9Yt6APcA7hT2urYk9S72GPZLcdD1PV1Q9HWhdPR6faT1tC3A9xX1uPfoIbz0ALHA9Vo1uPZ4hbD23xHk9T+R+PfeIgj0Kjm89LQxePd8mWT3QUWs9oDB9PehBiz1Bd4s9vRmTPRPdlz042Jk9D0KWPcLknD0NTZc9XseEPbU3hj3o44U9PfuCPWC7gz2Cm409OJWWPUjtjD1aRIE9RDiKPS0PhT0rNHg9ulliPc6KYz10oGU9KbZrPaPDgD0fb4o96/CWPb9Bkz10+og9Q5KMPavenT1QYpk9ot2XPS5AnT3+I589uLakPXqVnj2oE5s90wKQPUpnhT1AfYs9hmKTPRkIjz336pQ9wd6fPfSCpj1QEKE9Kr6iPaOkjz3Ygow9rfSVPZgmmj2BN5w9sqObPQPamj3u7Z89h42jPSNnmj3e5qQ9zSOjPUHAlT30wYs97YyhParGsT0YxKA9lJmcPUi2mD1ZEJ892GiXPSVwkD1biKM9euabPYeVlT2VqJE9CNaJPbICjz0/CZc9neiUPT3Ykj2PKYY9HUqHPf90kD3dopQ9pfWMPTvYiD0hPIU9gwaIPdu7ij3s2o09YemMPfNskz2zm5s9yrKaPTivoD0D7LI9FpOvPbrYrj2C2LE9iTSpPWT/jT1Go5U9boKVPUfWlT2EiJk9JF6XPQkokj1uPos92FCOPQcCmz050K49viqjPZCYlj2JUpg9PuCYPfrzoD2gRKY9Tn6iPYG4mT3ugJU9r1+SPVMLlj21z689416wPcu6rz299K091kCuPf1boT0iDpY9gEWaPdOKij3RpIA9yf+JPaqFjj3t55E96zaSPcvWlT21uo89DDeUPU7Joz0ObqU9dzCbPc/Xjj3qco89aiaSPb0CkD2XSY49LgOKPbqdiz24Wow9Y1+HPZcBiD1u+YE9lTiJPTC7jD0IWoo92Z2MPeoKkj1BUpc9W5yiPUNekj1t24U9+CCAPZ4Wbj0wrWA9lnNrPdAbcT1SKHU9CDaHPbWCkz26eag9p3OsPWxGqz2S56I9p26jPdqTkj0AA4Q90eOJPY41hD1rXII9iZWCPaNjjD1Y14o95HqWPReMnj2PV5w9a1GaPfo5mD02xnw92P1oPU04bT2gVXI92Ul4PXolgT1k+Yg9VKiSPQjvqT39J7E9JlmoPYnklD0kOpM9gzyMPejehD2W9IM9ezGIPfeKhT2SzHw9ndd7PfOKhj2C7YU9lomCPZ1okD0nh5E9gZqHPZ/6gj0nYYk90umUPc2moD0iBZg9llaVPZe6jj0wFIw9CZSDPQ8jhD0WjoI9/wZpPbMMXT3Edl89MsJ+PYfBhD3JS4U9vj6JPYvdiD2mTYg9MX2BPWH3kz2OoKY9oYiePb6Tlz3K9pY9ao6KPfPMij38+H49QoGCPc3Zgz2RuoI9nOWBPT2jgD2Uo4Q9EzmKPQA1ij0kbo09LHWLPbHjjT1cVI096sGLPVKMiT3B5Yk9NsSVPd1mnT1NRZ09sj6aPdTFij2pcIg9W16RPY9Elz3JqZU9EAKdPQYYrz33+K89GhWdPY8+nT3u6Zc9ZOeXPSrFkD2cEI49++eIPT8Ljz3534I9k1t2PVeqhz2e9Yg9o5d/PaQndz16LYU9qpWCPTAGaD2u/GM9EVJhPXidVj12KkA99loqPWY6Hz3G/Bw9U6kXPd5SID1H0zA9M+YvPUOYJz2soiM9ZqAbPQWgIT0VlRs9+p8QPQQZ+zw7MO484A7EPNolqzwrHqg8Oye/PPeKuzzZD7w8HIO7PP5xrTwkOZo8qmaOPDiwpDxLR6Y8I2maPHYfhzz/U408yPmcPOYquzyFVr48rPO8PIkzrjx8Y5w8tgGRPHLKjDzoBIw8LbKRPK5HlTzpkIs8u3uLPPlZjTxnTYs8Vr6BPGHWaTwAnWY8hEiDPMQthjwUuoc8MkqJPLBxkDz8fJA8G6iQPICUjjwRWpE8MQOVPJFIiTx4A4g89HyIPDTghzwaQoY8dW58PA8ohjzwl5o85sCwPG7PtTxthbk8XAKwPOBbpzyCAL88WF7jPLfF2jzPs9w85LLlPDk97zzlOAQ9+tP1PG3P5TxMlOQ8cXz3PMy7Az117QI97mbkPDA23DxARt48alnSPI/WsTzV5qs8YAGkPFpjqTwCxKU8MXSoPGQgqzyRPMk8zQvcPH0p2zwGw+U8D/jtPJQd5zwSrsI82ZO0PE4mtjwf9r88R5XHPAkIyDwOYsc8v/HNPFVb0zxHYtk8RQ3KPAgk0Dzu1sY8J1+9PDPFwjw0jrU8XeW8PNnVsTz/PaE819qbPDChjzzGYKI8Y2YZPaGkYj13A/I8iIjwPPNdGz2g8Hs9HgGmPafTzj2jVBY++lsePmIvJD77IzA+pVIcPi04PT7b4T8+D9gtPqxGLj7tbDA+q3EnPq7LGj54kiM+hnIgPpRnGT7MKhU+jXcgPg0XID4ahiw+icU4Pj6SOj4esy4+9oEgPvHuPj59eVE+439BPicgQz7hzDg+uOtEPvm7Mz6K2iw+l88fPr0aFT7inhw+IV8mPi2DLD6zikI+D1A0PpN2KD73QiA+wTZgPhnjPj4IvhU+jH0rPotpOT4FYyc+Nn0gPj+AOz4E3zU+eg0iPto+HD5MpB0+1FsaPpC/Hj5wMzg+8z5RPt+IUT5Fv0k+YXcoPrL8HD5T9So+kWIuPt4cMD4opCg+LGYQPjyqIT637Dc+hu0sPubYKT5nASU+kbY5PtUCMj5WzSE+BugcPnrZHD58Ih0+5dgVPueVGz5Q2CI+h/wqPuOgLT5InCk+pmApPmn5MD5INSo+848WPvgJET6Ltd89LVGCPcwlGz1k0/Q8F9nIPAkswTw4qcU8swbPPOY/1jyTduw8NzH1PBYO9DxPY+08B6UAPWlwAj1m6fw8XAX/PAuy/zzOqAI9Kh4NPQUSFj1vYBQ9eHEUPYE9Ez3c4Qg9fL0KPaWLFz04qx49r0cfPQZCHz3NMyQ9QOgrPVpJKj1scSo9eaklPUMDJD0CAxw9LnwXPWqHHj0L4iM9YAYnPXVIKj0fbzI920UsPR0EKj3pLDo981U1PYw+Nj3L2EA9ZRhGPRelQT0VUTo9vGw9PdfzPj2lp0Q9IaFKPe7hQT1jZTw9cjlCPY0/Qz25c0I9uqRPPYeYWz1kcEc9yHc+PSYdPz0Ppjo9l8E1PX0kPT3Rzzw9tUtFPeLhTT2fAVk9L9RMPZWcSj2DVEY9K6tQPTUqTz3GA1E92v5fPfu6XD0thXw9LA17PYDHfD1Wl3o9SYxvPZZJgz2p75A9OvOTPejWkD0QSIs99sGCPZ/9fT1m94g9QvuRPZydiz3+D3s9c7BzPdKqbz2JxF492P5YPZBDYD170Ww9WPZ2PYy+Zj1cyHY9fyR7Pa9ZfT2LUYM920N0PRuTXz0YSmM9gYBrPbq5fz05yoQ93vJ3PVn/dD0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8t/Zj3Lf2Y9gB5mPeEiZj1M3HQ9xh9zPRFxdT14eHU9HB12PQtkcz2vMYM93D+FPTrZaT03c109NXpwPTJ/hz1Ban09pVR5Pa9Xgj1d8YM9iHOJPUVbfD0yVn49W0GQPQAtiz2jJoY9rLSGPaxlkj3wl5E9MwKIPUE5kT1qGpU928GTPfy5kD3SQpE9FFiIPXoMbj2GqGg9EmyLPaJRmT3F6o89QfqBPUmwcD2vy2o9+7pmPYUHbD2puGs9uC9pPR7bcj3/G3Q91DlnPeI2ZT2Bl2g9nyVaPR2sUj07tVI9xLhVPcPqYD0PKoU93TqWPR69kz2mD5Q9d46cPWW9nz0lcaQ9Vr2pPZT5mz0bfZg9iTyQPWRMjj1HLog95vqEPT68iD1xfIs9swKSPZTVhz04zIQ9t4OEPe1Iej3D4HQ9owBkPUcPZz37U3A9t2h9Pb2mhj2cioQ9V8d/PVSChz2amZA9JV6cPTSuoz2fDKA9G4ORPZYSiD1nCok9CeiMPaiTjj2eiJA9Zv2TPYQmkT1nkJA93iWfPaB7pD2yfqA9SVqUPTKolj1SlqI9p0CaPdchlj0u7Jg9QkahPUnZsD1dA7Y9tsavPf4foj1DO5k9Vv6OPQNdlT0fQpE9dvSgPXmlsT2afKw9jRajPaYAnz1JJZU9Ax6bPb5Goj3xq6A94fiaPU+tmT0gLZg9aWmZPVFUkj0TGZc9g4mfPWIjpD1njKw9MTmxPczepT3sBZw9ivWLPRAqhj2oloQ90CKOPVUmkT0ITpQ92JymPezUrj1gd609n7uZPdnCkT042ZI9ZWiRPQU+kT2c9ZM9poSZPRV6nz3rtJ89g1KYPZrkhj363IM9j6eHPZBvkT1s75M9B6GfPRePqT3qA6c9TP6qPQshpj0/rrI9j/u7PbrZqj3fC6g9gHivPRabsj1Bwa49UwusPWMUpj07RJU9EiiZPaK+lj17/Zg9RPGdPVM+rj11T6s9E3ayPXL1vz3WMaw9dKyYPQcukD2Pu4Y9BACFPdhnhj3X64s9RpORPZr0lz3b3Z89l16sPTNZsj1pG7w9jQm0PQORlj2uLI49m4iQPeN8jj1O+Yw9C96OPR/Ghj37+Yg9dO2TPcCnkz3EMpg9k8CTPWzTgz0JbIA9PImGPZR4ij3U/p09VBicPT2Cjj3XOYE9yJ9uPUhPbD3uAnA9uRGDPZ63gT1U1H89Z1SGPQYJjj3sz5U9tAyePV4Boz1AmqE9Q2mfPYctoD25HIs9xJV5PRpjej15W4g9LYyQPagvkT3nbZM9zvqZPacAqD1m5K09qjKcPcfukz2M7IY98pl1PTX+ej1/6ng9Uh+CPbTAhj11ipk9g3GXPZmxmz0E1Kc9/mGlPcvtoj3UyJk9BRWWPZpZlD1GD5k9wV6QPdE5jT0483k9YJtgPebDYT3BmHw9i8iIPVT/hj3geKE9lZuYPSCklT0eyo49HJCYPVBgoD1OVJs9ATaOPR98iD2pc4U9spiAPR6BfD3sxYQ9tYqDPSg4ez2L53E9KaFsPTHlcz3Z64I9SyKEPYkshT0qi4k9WAePPYQikD1rj50976yZPZ2zlD3Yc4o9ArRpPQ5qYD3d5mA9SiZfPXsTbT3NUoE9ZfOIPWflhT3F9X499lOFPQbbiT2rOZA9U1OSPYrDmD0RO5A9gSiNPQB2kz2Dgpo93k2ZPSWlnD1LY5E9xjWFPYG9aj2PBHE9f5Z7PR8wiD3tK5Q9unWUPTiGlj1so5I9zEWRPX9Shj1VgIw98hCWPRqrkz2oDI89MrGPPRNviT2RboM9Fx9+PXXtez2Rd4o9rI6MPelLiD1wh4Y9faaEPf9Acz1zE2U9vtZZPRVxUT1HcDs9UAErPX74KD0lGhk9XmEXPfXrHT3e6jc9LDU7PVqsMj3FZyM9uVooPXbKJj0/VQ894YcAPfvm7DzPErI8Gp+nPPhynTxya588M42qPAWftDw6gKM8+NOjPH+0sTzt1Kc8u6OOPJdBiTweb6k8igeuPH/eqTx0F448hXOQPJrgrzzq+dI8UubQPKpGyjy3nL48Vh2iPCSnnDz+W5o8tLSUPL63jjwzG4s8PIiTPLUdlDyyKoA8upWCPIwLgjwQmn48jQmCPKUcjTyQr4w8TIiHPDtegzxpxpg8SC6YPJHJkjyFK4s8+0SLPGkDiTwX9oE8aImPPNC5kjw3apA846SVPGfqkjy1xJU8RqusPNC/tTyFfLw8mja8PMbEtTzNe8g8pfv0PPcq7Dxjq9U8EAvZPNQL4Tw50Pc8PToFPWgzBD34PvE8dafuPD10+zwLeQI90p75PHp+9TyEnPc85mnvPPqbyDx3kK08pNK7PAottDxmErc8D6uzPJ7eqzy17rE8etfGPJck4DxQf+08AqfgPJlJyDyyt7481LPGPKKK0TwiJ9M8MIvWPLGI2TxYTNM8Ma+/PKcRvzxCfco89ePKPPSFwjwVA8I8LNW0PBNRtTwj1rs8DO2rPCplpzyjB5k8n9yLPDGZjjxxpJI8QcuhPCbsnzw65ZU8yjmFPMs4qTzMuN48zfgOPZH+ij1mMiY+ZeguPhC1Mj4QKEM+SlUzPg4pGT4NaiQ+hAlHPnn7OT6TRTQ+n5E/Ph2IJT7v3Bc+zbAuPhUJHj6guBE+pOcMPqDOJD66GUE+BgRDPgdfMj62HS0+u3QuPmGTGz475SM+hmcuPiQeID6L3xk+zzUSPkxTGD5FehA+HY0WPpikLT5Mnjc+Bo8hPv+wCz4XDCY++vZNPkHrPT7YZzQ+jksaPv6SZD4X9EQ+mN8zPtKjST6yoks+lykPPq2YCT4zziE+tp8uPpXdOz7UVTs+E5UhPjkbLD40NTU+dv8qPuytTz4eH2E+GktHPnwzHT7+/B0+Vb1KPnPrTD6vRkM+EbgbPm1HBj4AJCI+aPU+PknzOT64CDY+EDMePvjDRT7aI0A+89Q0Pm8kLj5qQi4+UZUzPtidKj7AkSM+nwMmPjtlMT5fMTQ+83onPjrFGz7cFAw++eXePYI7YD2rwyc9tgPEPMRZpjyvkqI868ytPIQMwDwod8Q8o0fNPFlA0DztjNc8ibrgPL726DwsROk8OYbqPLrh/TwJtwE9S8cBPXjnCD2Kngo9Vv0QPXUoEz1L3w498VwJPbfDDz2pfhI9IUIbPTqAHj0MNh09TfsgPcIPMj3UKTA9rtYePU9wHT1UnCs96MA5PWbKOD1juTY979ItPWr1Lj1Tpzs946U5Pb0JOz2wmT09uX5CPfq3Oz0vcjg9jPQ5PdrhPj0sIkI91sZMPTU1Sz1PSko9qcBGPSLpOz1kjzo9QiE5Pc+gQT0p1EE90vY/PVUsQD0db0E9N20/PSrKPj2GZT49B2Y+PdZINz3MvTI9Zk8wPSYRMz35dTg9WJVBPY53Sz06aUw9D6NDPbaMPD2GnEY9jZNWPbrAYT0UX2E9UQtePVnjXj01u1s92jRpPdchdT2kuXU9E+x3PVVPcz0hm389PLuKPU2Egj1JS3Y9mUVlPTMTYT3hKGY9tP2CPb7WeT1LWm49HnRaPSZ+az3CM3s9ovRuPQnMdD2m/HE9RDdrPfm2bj028mc9L5hyPVuCgj3vZoM9EVCGPYnMbz2h6Fg9TwJZPTooYz0ZNG89MYx1PW1sbD3f7mo9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+vY2U9dWRkPW7UaT0RpWs98TJ8PXD0dj3qW389EIJ3PTUYdD0X93A9MhCDPTejjz3FBYg9d0p/PbR+gT2Mb289TkpqPftkdj34Z3w9yNuGPWWwiT01IYs9e4qUPRaomT1tZIg9ulx5PXcLbj2noIA9RfiFPZckjT2m8409D0mGPS8ChD0z8IU9uCyKPV7Cgz2sWYk9Tf+OPbt7kT0N9oY94a6BPXyjZj2ZTWY9AbBYPaDNYz0CeH494CB8PXIFdz399XU9eh9sPYkEZz3C9Ws90IRuPW18Xz2QPmA9pmFpPRADaz2DFnU9P4WOPWjqlD2xqos9a+GOPTDCkj2DYJU9PJOcPXoApj0l0JY9ZdiEPeKEgz3cnXg9/H9+PeaChT1yGYk9ZqqLPZZHjT2ihIc9sZB7PcovfT3Jz4A9+luGPWIdjT1mwpI9WOCGPalChz1ptYk9ki6HPayZiT0Ib5Q9kBOcPevsnz2jEZ89dM+bPYiknD23BJI9BPeDPd+ZiT0CiI49jFGPPQ+tkT1DPI09OGeMPTfbjT1rN5o9Vj2YPcYjmD3dg6A98a6lPauKkT1En5g9R1CcPTV7pD17cKI9VLacPY9KjD1rZoo9YOCLPUY9lT1EKKg9Ll2ePRjeqz18oMM95kK3PTONoD3gLJo9PeCGPQuLij0Td5Y9T4qZPcmVmj3Px5M9R5iPPSGpkj2tcqI9YBWmPfrNqT2fIbY93yLBPRCuoD2o0Zo9FVSYPc5Tkj3T2I89ZbyDPdtlkz08GZ09X1CfPUsmoD3Jips9Vc6dPQ+zjz3SD5E9XqmVPdi+kj325Ik9Z1iYPbtinz2imYo9XZuFPUDWez0fu3Y993SQPa//lT2tqZs9LxeZPa+VoD0Vabg9vbq9PYPltz2Qhq49eKuqPVSrqD3ey6c9omyvPSq0sj0FHKs9RtKnPSiVsD0MbrI9rzGdPffnkT33I4s9392NPTonnD3T7Js9VUqjPcJWtj2Xz7w9W+WwPcqPmj2BXos9cSKJPTQZhz149oE9TdyEPQc7iT0ex6Y9pk2tPXSAoj0ZzZ0947KfPbtJnj3bl5U9TdWXPYUopD3YVqo9fXCjPUqalz0EDIo94U+NPSkGmz3KgJs9mGyhPfBzlD2BinU9SvJvPTApgD1tc4I9gkiJPYS4kT3l4I89qXSGPf+BbT2reV89V/dmPSC1hT08+pY9BHSQPVBKkD1prJI9g/aHPeF3ij0YwoA9IMeHPc/fjT2OfY09E5qMPTTdij1wPoY9f0eGPSwEiz0E24w9uHKTPZpqkT3zWow9bKaKPV1xfD3ZR289MAx8PX5Xfz0t24k9Hy+NPR0Qkz2qipY9VsKjPeEDoT3bVJU9fEmRPU+OkT1y25Q9oBidPaSFkz2+mJw9nuuiPSQ+kD3bdYk9PIh9PQHodD26RHw9aAmIPYQXkT2LoZA9PU2LPYzdgz3TTYY9ln6bPdUsqD1UR6k9V7WcPRKSij2bPIU9gPSFPcWikz3lcZY947KUPfj3lz28BpA994+OPeuIlD2u0pU9yZyTPdXcjD3XTok9yjWLPcK+hj37zYY9ta6RPe/ykD2LIYw9NJKDPcktaT3uKWQ9vt9fPSXDZz3VcW89nMdvPb2wgz3uBIM9Bix1PQs9cj0GOIk9QF+aPYubnj0uPp49p6CaPZ/dnD0ra5k9ikuUPQ5ZiD2Lj4Y9czGAPSmOaz2fS2w9PuaFPZvklj0Au5k9tR6aPYs+ij0PAo89iyOcPTwNlj3Vd5I9xeCNPbeflz0wG489u92IPc4Ckj3B2ZM9tDiSPexwgT1acXY9lilwPbhwYD2F/F49JvJWPblhSj2xjUg9gXY/PRAVKz1KiCk9z48mPe9MIz3eiCk9bXEqPTbVJj1Q6Sg98eozPcmYPT2ZNTc9+PcaPZLVGj3c9hw9CIgXPfjRAz3F/tk8Hc20PKL6ojzqc5w8pnqYPBxknjyqbJ0886uXPIdhlTyYKpI8TaaJPGLngzxXhYc8XE+QPO6QkjxHY5c8haKbPAgTmjxsQrI8hHO9PB5Bvjw1JL08cFmzPJlwqzxsLKU8u7uJPDMhkDyLFI884MOHPJ8yjjwVM408qW6FPMBtijzQ74Y8ONKDPA2ajDyKqog8AeiDPAYDjDwCcI08bPGXPALDnDw4wZk8wFSaPKZnmDxkT5E8FKGAPCuLgDwkYIk8TJORPJwHmDzUg5o8XpGsPCT9ujw3B7g83tGzPK/DqjwRaL0844HYPKsP0jx2csU8dRXSPFvO5Dwv3PA8cXAFPUDxDz2owBM9OzUHPUbIAz0W+Qg9DvsCPeDw4zwLJd88rqq7PGlmqzy+yp882q+fPAJuszxR8Lk8Gp7BPBTvwTyYw7888i7FPP7xzjz4f8s8FjTKPCyUyDxHQbs8GPS0POKRxTzkkM48Ua7TPMZs2Txtddo8EKjYPEPC1zzXdLs8BlnDPEZ3yzw+CL08BnyoPOrOpjzwRak8F5+mPPPHoDzpTZE8HKWMPChbhjxoCYw8MwWbPL+LmzwzfYs8F6htPLHKljxP2uA8BF/DPArzwTwNlXg9HIcdPt5AQj4Hijw+ctMoPh86Ij4bZSU+yeodPjUMLD6/ZS4+7zMtPixNLT5xlB8+cn4kPihWLj5esSI+Dq0jPqQEKD767k4+nddFPqnjQT76sDw+vfwsPil/Jz7btBM+vusXPv6UEz6IuBA+VRkGPh9M+T2Ozhk+bS40PtKxLD4Pvjg+TX4zPnTIJT45EAw+nNMSPmCGLz55xjo+HD4xPuoMKT5F+zA+zeMhPgoZLT5pDDk+EIUfPrRuBz6w7Q8+A0cpPiH6Jj4tGzY+0PklPpP/Dj748B8+olg6PnRqOT7Ryzo+qUhEPu0xRD5swSw+W8EtPhu1OT5rYiI+Rh0VPhBwEz7/+hs+Ga0zPti1Lj5wojE+DAE2PgAFND7ee1U+DKFAPlXWMj7jZzk+y3k5PqURMT4pOy4+/4cgPoOKID6kQSA+ao4WPpg1CT4X85k9ymgwPSM5qTylXYs8Yg+VPARSqTxxWLI8Jqy+PHSzxjzFBMw84ErNPDjJzzxlGdY8pfnYPKRF3Dy4+fc8PcT5PHve8DztYvI8ndMEPXQsCD1rZPg8smz4PIl7BT1XZgk9OnsGPVtqCz0cxhI9J7kUPfdRFz12UBY9/t0VPR4iFz0CqiY9/aUoPafcJT1cVyE9hBkmPWRDMj1uBjE9zE4tPUKOKz15Rzc9W/1CPTH7TD1ZYVY9Om9OPSC9Oj2BxzA9Uzk3PUy9Qj0JQU49LV9NPU+hSj0QDUA9EOYzPYpBOj286zE9g1kvPZ+KJz2QSyc9tgopPcOcIj1Rpyg9XicsPSUaNT32ZzI98rEwPdJPPD0wtkc9efFIPb+lSj1t9T495BE8PRuPPT3WrEY9DdhFPYtARD0C2EM9QIRKPW/YXD3PrWE90XlZPX8rTD0LhEg98KBEPUjPXj0sG3k9pe19Pad5ez3yE2Y9L/tvPRwFgD3HIXw9hrl3PX6acT0vnWU9wypePagwgT1TNGs973tePVGwUD2GS2I9afuAPZLmez2FvYE9GZ1+PVCldT3gHmc93EpaPS4fRT2pwzs9RWdEPaLqWT2LJ109qd9cPRGkZz0IEWg9xP1sPRO0bz2uzGY9Gh1lPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/o+57PXEicT2rKW495RFlPZ5EaD2FZHw9Ahd6PV0JcD26G3I9TQKFPelTiT1e2Io9Hd+HPVxogT0qVn89H7dyPQkygj2N6409BsCQPSb+iz2ZTok9kh+APXZXfT01OYc9ceGPPfpBlj1NrZQ9UYqKPbxbhz05eYo9rh+GPS5idj2He3U9WJaBPT1Miz12Zok9n5qQPfYLiT3UV4U9vaR2PUiMbz1cgnE9sk1uPclodz3i8Xo9hPeDPaoLdj1nxmo91imAPV7Saz1wF209IB9+PZwrcz0YPGE9V6FjPXiRhD1Ps4k9ULyXPVFMmz0K3Jk9xd2VPX2rij23d4w9MBuRPYJ+iT0Be4g9bqaHPQq6dT24PnU9RNN7PafYhj0HnYY9sn+NPczJjj0qgY49rHeJPWFbgT1veoY9saGHPUHxhT05U4M9aBmAPc1tdj0YpIs983qdPXPAjj1A6pA96ByaPSY5mz0fg6g9XZakPV/pmz3AoZ09S8iZPViPlD0It5U9Gp+dPdFPmj2PMJg9uSiOPe6vkz1d95U9DKqsPXIbqD3izKA9GgubPVNblD2XYYQ9JlqNPclikT3Gnpc9beWZPWigjD1pyZo9CuGkPXhtrj0lias9yeidPVfGmD1LaZ89gcynPYu1lj2U2Yg9dYFyPXDlfz2uJY49kumaPeAyrz0aSKw9YxChPWgnmD1cG5g9ZRCqPWnlvz31UMQ91VLDPdfywj2A8qg9GS+ePTV2kz03UIs9oSaKPdn9kz3zVp49lBmVPRA9kj2SgIk9JyOBPXwJlT1qs5g96YyUPZYHlj3quJg9uZajPT+ooD34H5g9xTaPPXEciz2nbI09O8mRPdECnz1a9qg9vQqxPbMssz3FgLo963a6PUrZqD23O6Q9OlOwPc3wsz30oLU9m5ayPdtjpj1ywqs9na6wPTytsz0oOrI9svmuPcK5rT3mnqY9tB+kPZZdoz1Zwqo90pavPeGGsD3VIa49nYSlPc3Xmj2udJg9dr+ZPXKXoT3bC549DYuRPQEvkD1g35M9qB+dPUVsnT3r75c9ke2QPRQGlT0tEZo9HcCWPTgImz07u589SdWfPVd9mz2sfJc9mvGWPRPWmT0ucJY9512MPRG9gj3QlHU9cqh6PWc7iD0vc4Q9kNKBPbbIhz1kFJs9B/CYPZ5pjD1jM4Y9yEaKPViQkT2Cap09PGaTPVXijj0FbJM9X66XPasPiz0GtI89xTOPPa04mj3BFqA9OmOaPYVnoD06NqQ9oe6WPVaakz3kxI49Ri6OPeYXmD2ZuaA9MsKOPXeocD0KtWY9ESuBPcbDij1y1I09/kqQPRzelD0CNYg96l+APY6HeD2DFXI9xYd5PQfohT1fCpI9qsGLPZYojD1IjY09HUSUPUS5hz2heGs9zXVpPW6maT3LO3U91KGJPYWFiD0su4I9WH2GPat6iT2Ywoo9Dux/PWrXlz3pj7w9LxG1PXlZpD1KHI49rdCOPXmuiD086I49KMyXPUQMmD3v8pg9nMyNPV+gjj2YF4096TOHPVbEiT3HGJc9IgiUPUhzjT2AsIc9F/uHPYI3kD1PYZY9fjiOPScThT17poA9ZTB8PR8ycD37Znw9tFeBPeTMez29CIM90qeDPZJYgz18yYA99LmRPZ7Zoj1BlJw9IL6ZPXmkmj3GkZM9ytaJPQ8Vhz2zs4U9+y2JPSS4jj2Fu3w9Xnh8PYXCjj2kPKU9S32mPVU1pT3n9Jw9BYqVPUvBoT2QOZM97ZKQPcJSjT0/VpY95VSYPb4wkz0Pf5w9A1CcPQBVkz0yh4M9vrVlPY8cUj3fDjs9Snk5PWBsNz0c2TI9bqQyPTzhLD2G2CU910omPVrqMj3IyS89kjcpPUNkQT2q/jw9JVI0PbZlLT2dXCc9DKoPPSQFEj15qAM9A2IEPQp6CT059QA9XkTJPP70tDySa7s83RSuPDGonDzMOZc8i2egPHNonDw27JA8mwqSPDqHmzym3Jo8a/+LPFkNhjzEeIA8PxGFPH4ckzz0KqA8hMm2PIxzszxVr7w8goS0POzMoDyUfJg83LKOPP60gjwJj4w82dyJPAbOhzzyxpE85LWbPMDNnzz+L548QJ2dPJ5RnTwtGqA8rCemPFAmlTxvxJI8+jqcPGlupTw6N7A85K+1PKzCsTyBoqE8CEeWPI+piDwL7Ik8sUmbPAnHljxtFY880HKXPB6TsTyDI7s8Q8a9PIeivzzI2788R9DHPN1Y0TwnTbM8koOuPA3zxDy4DdY8Fo3yPI+8Bj3ocBE97esMPToW/TyaTeM8iJzmPIGszzwcs6k8PaWqPGHWqTw2pa48aaGnPFwWpjy8GbU8Eb7HPN+j4zxgO+w89XThPHvmyzzr/7Q8p5+4PDx6xjyl5cU8ZsvJPBXT1TyCxc08aYjKPBh71zw0ht48m5baPGhL0zwehb88EUO3PBY1vTz5YLo8HGOsPG1ZoTyPW6k8Cr6nPJcQmTxnNY88x+yLPAbJjDyBd4E8Sa5qPGfudDz2fn48f8J9PEXQfDwgfM88TcHoPL2R0TwwuPY8+16xPRcgJz4L7jI+qGs0PppoNj4hCDo+knNAPt5CLj70GyY+qQUkPkVoJz6gwyo+eBIrPu/JKD4VlC0+UZw0PnwKQD6OHj4+klZDPlP/ID7+bho+rTAtPi/2MT7KmCw+nDQdPn2wDj4e3Ac+jpsXPjHtFj452RI+538oPkoPMj62AjY+rl8qPpS0FD7r6w8+nN0OPqCUJD6MQTI+PUJNPskDRz5d/D0+JOEEPh9mAT7zRB8+qd8cPiknDD6SKgo+yvslPjatMz5Lkh0+d3EXPtl6Ez72oRI+0HocPq86JD5TgR4+AsspPrSbOD6gdDo+TEA5PjhAPD44lTQ+85M0Psf0Lz7Y/ys+tzwkPupPNz6R5TE+kAQrPjBgKT4MpCg+A+EmPrqyJD4u3Bw+Yz4ePintGz7eNxE+bHGyPRp+mT21LrM9goygPZigNz1mGxg9N1SPPMWljjyQoJ48LPi1PMKHzTxD5tA8GADcPA0g7Tyvz+o8Ym3lPKw43jy2b98805brPGLi9Dye6Og87I7tPI9x8jxwGvU8aAP3PPsp7zwWCO08WCjvPGDU7jwrBfI8UWD/PHfiBD1D3RI9xhoTPZ3PBz3vbQk94d4OPTszDz22chw9xVomPSMlJT2sSSc9B9IpPVjBLD3dFzA9bvksPdRjLT39uS89ck01PcbKPT1fCUA9qSk3PRfoJD3ROCU9a6IsPWYgKz1aQic9VSI4PZZdLT1lkSk994EyPfhoRT0A6TY9K4ciPfVYHz03uB499DIkPSxpMT1iNjc9ZB86PebSPT1FND89vos4PejuSD1UZE89xfxQPdxJSz2wH0c9TtA7PWwsMz3O9jg91ZFBPTzLOT265zk9Gxw+PQ0HSz3gZ2c9/2hdPbObVT1hRUg9R106PRhDMz2FAEk9pZ5fPWvgYz3MUVw9UNFgPYJebT2DKHM9TeFxPe0Rdz0ucnE9SgpnPXCxZT34lm89GjZdPSYcUT1hiFM9vyhiPWg7Zz3lc189UeZhPRdvYj3p/FM9+2U/PWoZJT17/ig9V2pBPUVbYD2WG3w9nfCBPe1Wdz3JR4I9rDF7PZ+SfT12NX49vrNwPT0cbj0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0nLbD3ZE3I9O+x1PUL2dj0rFH49D8+APQGScD0LMm49adx6PRoZez0IgHg91rF7PZdXhD3X2oU9/vmDPd31hD2ck4s9FRKPPYdQkT3FPIk9m52CPZzChD39P4o9OcmNPfl5mj2AL5I9UVCNPYTwjz1gcJE9awOCPXSvfD2i+oM9pk+HPTnqjD11PpY91iCNPc1Hjj17Moc9CoxzPfcbcT0i2nQ9EmCAPXQxhz1UB5Q9Xp2QPTe7jj3wm4E9DIJyPSmLgD2zJIk9q0F4PfFZdD0P63A9lfx2PSDzhT0Fb4Y9PqyKPRSoij0urHo9A8x0PfJffz25rI49iSGGPfTofT2TmW49w/t4PQHAeD16KHY9n6aEPUuOhT3GC4E9e6SJPXuriD3/iYA9PeiCPQQfiD3oKH49QwNpPY2Rdj3TIIM99jKFPSPEhz1mD4o9NeWVPbZEnz01cZI9VD+TPbGxqD0+DZs9coeTPZeXjD3jto49XVOUPQqIlj12j5k9Z+GkPZ/XnD0zoJU97E6ZPYhylz3pJJY9qTGvPVPmnz2/V5U9FRyQPQvWkj2XrI89LimLPf2plj2NCJU9tsuQPZ0NiD1Jko098XicPVsxoT1h8Z090auePUbOnD3k6aU9VEaYPRdngT1piX49TaCDPcQWhD2Os4U9PSSLPbatiD2iOY09q8aQPby2lj0yr5U99qagPdlTqj0uMLQ9X++zPSSvvT1w3rs9VV6cPcBckT2pXY89GTmNPdY7jz1pMZE9Bm6WPdqBnj1aBKE9wjydPRilnj3XN7I98SupPTbuoz1KPKU9ZeWkPYb2nj1xLKE9AYWOPRyPiD0hc449WrCYPW4Vpz2pkqo96V2iPcDipD3OLqo9skGnPenLmT0XhJY9Ip2fPdcQpT13Wp49EzibPdU+nz1ZlJk9HOOePSK/sz1Dz7s9hTqlPWaVlD0QTZI9yXSePZi+sT3nhbI9vwKuPRIurz1OOaU9b2GaPdHKnz132KM9F+ahPcsErD3njKc9J+iTPXSlhz0Vcoc963qMPV7XiT1GM4Y9fyKHPQsVhj2uI4g9jXqXPSWCmD2kk5Y9tRyQPf71kz0Mc5Q9+AafPYqfoD00saI9sLqPPb4Xgz1xoH89QfOCPUaKjj0TBJg9KtCVPR/ijj3nLYw9QQqVPXvYmT1nC5Y9YryUPXepnT3gP5492q+yPT17qz3XQZo9kjGaPRSWoD1mwKA9a/mUPVw9lT2zxac9/XmtPfmorT0ZM6893DiSPaLNlz0Pk6Q9P/CdPdmckT2PZY49opWEPQvxgz3A7oU9d52HPaTPiT0VTIo9t3aLPTPtiD1G8nk95cxlPUyAaj3Xv2099hx9PSusiz3JRp89I1ibPXAylD3uF5Q9wqaUPWpphT2X2GY9mVhtPVpkgT1DoIM9dkCLPW7vkT04s5M9PyOUPW46mj18fZs9m1CdPb41mT1OZqY9VBWvPVj+mz0aLpk959CUPXGcjz1/55M9/BKZPf1+nD2QFZs9KtePPTQ2iT3XWIs9PcGTPQdUkz3jdJQ9KvKYPRlzjz1L44c9moKHPT2Yij3NvIk9ewmFPUYEgj2eyns99ulzPdTdXz3y3mo9x5mCPXJDgD1zFoc9b/+TPeOklT3N0pY9YACXPb7vkD3U+pU9srqdPRAskT0tAo89HCiHPcfshD2UYn89r2JuPQ6kcz0PFIA9va2JPVY4lD1tOaA9s9ulPRm9lz3VQ5M9AM6MPb1wkj3RTpo91B2QPTsBjD06tpA9SE2YPUgElj34tJw95hWUPb1LeD2fCmo9yHdKPTacQj2ujko9D8w0PeoFJj3L4iw9tOU5PUfnSz0JbVE99essPdAwJD38uis9tE00PZK3MD38/DI9PxIgPXClFz0NXRY9nKAZPfNYJD1D4BM9644UPSbJCz3H8/c80/G9PNGZuTw4oL08v9S1PIjgpzwv76c8DqqnPGltxjzTH8A8IHiYPPz1kzzK9pk8FlmxPEgfojy1XZY8gwukPKAyqjzrfak8baSXPA2xpDynmtE89E+wPM9dnDwH1Zc8BUejPC1VnzwCyZg8FfagPN2JmzzzBpM8YyCfPMs8pzxrKqs87gy5PH4yxzx7S8M8za+xPMgQrDzKSbM8Bu6jPMKwnTwA5qc8U1KtPCzjrTySFpk88fmMPAw5lDyFBp08GZaqPLlvqjwv+Zg8DmKaPAY7oTxpV6k8OXCzPH3eujzhLcY8D7LJPAjyujyCD7I8Ki+iPGCnszxoucY8SQzsPDDa8jwR2BU92S0UPVpmAT00kds8k8WxPFKJrTz+V6c8nSujPNhgpzzTgqQ8csirPA9qrjycsac87M7IPCVn1zwNWdI8mMDSPCCYxDz87Lo8MELCPElDvDyP68c8GpzKPNnc0jwkcu48Zh7ePLAnyDzgW848QLzPPN1ayzwEgME8/GO5POknqTycFqk8VAmwPEfVuTyjnN88ZEAMPSAR5Dy8wdA8P47VPKihQT31xIY9CDI1Pa5DYTyB7Sk8QBw3PCjFXzyDq5Y8y1TGPEp3Fj2F8L49o/79Pf+sHj7ZYDg+5rxGPoZbLj6v1BA+UIINPinrFT6phzU+ds8nPvN5Hz4FHyM+tL8hPpK6GT6UyR8+p4IhPpuMMz7ICj8+1pY4Ph+KMT6HahA+kJ8XPrGdOD7ZiUo+IkZFPuHQIz6cYRY+lnQOPvuQHj6ycSE+E5IePiOZXT5hTTA+9awhPn2lFj5p+CE+mMMpPkYlLT4ByRg+ScMaPsFOOT7Gh1U+DjZTPoPH/j2Z6x8+f2BAPiBLEz4p0RI+WLsZPmKBKD4H7iQ+6csoPszkLz4/yTc+rIc0PiNpET7obB4+rg4qPkOpOz5nmzA+F70sPrGVNj6QrWQ+tyRnPm7GPz6Y+Ds+Qos9Pi5VPD79TTM+67MhPiO7GD6KDS8+fBg1Pku2Pj67WzM+aywkPj/XFj63HKQ9FbN+Pc3XkTxDj4I8NheIPLn9kzycyJk8cbCbPF/YqTwy8sE84mPfPHaj1zwb3t08aZvePEnJ3Dxlyd48M5DxPJcVAT3fK/w8cAD9PAnLAD1cJfY8HXr1PIW+/TwEOfY8yb71PEWI7zy+LfA8ngkBPYpyBD0X5QM9TFQEPetgBj01Zg49kl0gPfy/ID0n/QQ96zMHPXccDj1xZRM97cEfPRBSKT3d9DI9s2wxPUvNKD0dpic99NklPQ0sKD0GLjs9h6s5Pd5cLj3fXSM9PechPearEj2ehxc9I3sePY4aJz0kqhk9NO0nPSUANz01ey89au8tPWpeNj0YT0M9kZ44PaORMz3f/C89iLowPVgYOT3AEVg9qt9RPUNeOT3gFUg9YFxHPUR/Pj0L0To9bfpHPVNvWj1KPFw9ah5iPa47WT3iuT49csc5PdjrMD1ADjI9VB8zPQgcMz0jzkA9JahNPfVNRz2crC09/CoxPVsJTj1fV2Q9eOlEPV1ATD3gzFU9o2JYPYFEYj2J12s90V1kPTWWYj1ydXI9DZZuPddoVD3cRDw9H1ZGPciTOj31Sis9kfYsPS2NPz1yz0s9kDRFPdumOz0QgDg94IAzPQ35LT2rJzE91YBMPQV4Vj3Yvl49Nl1mPSuebj2sN2g9MwpdPbyeXD0Id1k9oVJUPRUaTT1VG0w9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+5ZIY9SEZ+PY59dT0u4nc96f53PYzfdT0p4XA9Wb9zPWT9aj22bnc9L6iCPbCYiT3yV4g9nnCAPcTtfD3dEoc9uZCSPY+hkD03KoQ9fuSCPTh9iT3LRYM9zsKFPSUfhD0hcYs96cyMPcs8gz1DZYE9wFB7PaiHhz3NkJY9wg+VPSdigT14FX09IXl+PbNpgz0ZT4I94SV6PW4ogj10JIA9qs90Pa4pcT2i/oE9h/+FPW+Pdj0tkHI9s/NvPWGNfD0qOIQ9iT6GPe/nhz0hd4o9+OaQPYDxiz17opE9YseDPcoJaD0hk2c9TYN0PUpLej1krm898pWHPZ0UiD0w04E91ipoPRzJXT0TQmc9wPV9PaV1fT1iY4E90omFPVWjij1OI4M9AWZ9PXqObD33x289DuduPRLXeT3ysoQ9d9WMPceEjz26VYs9vF2RPap7kD241Ys9Vh2NPTofjj3wvYs9/tmNPTdTlD218ZI92RGWPbHIlT2kB4o9qe5+PVB3iD2k4I09P66SPWsSnT1kp549qHCdPWt/mj3bI5I9scqVPZ7DkD2+EJE9IbaOPb5ZcT2sRm497LyAPffHiz2O9o895mOVPVl2jD0L9Io9W5ibPRrKnD0gQp09uByaPS2zmj2Jiog916SFPXDKhz1Do4g95myMPfjOjD2RBpI9ZCWbPacioD3iaqI9HVqiPbA6pD3rY689K/7CPRIYzj1xnME9NtCkPXIrsT2fsaU9ieyVPTADkz2D/JI9caOcPdwHmT3XwZk9knufPbAHoD0bSZ09972cPTX+kD2NzJo954GaPTuUlj0Tzp49/qKfPUitkT0qzJo9GkiWPaOTkj2fe6A9NRmTPQhvlD2qhJk9a86pPSFKrz1LwKg9rjObPcV/mD2QYZk9XgagPS3QpT1Fqas9syq1PbKmtD29wKc9ov+TPbhpij2AwJA9PtKdPcHqlz3Beo89oYONPUDCiz0I2pU91hGbPSGvmD1Sf549m1ylPbEOqT3ZEKg9c+SfPbCzjT188I09QN6TPRvylD3N7ZA950aFPdtUgj3N4Io9cdaSPS5skz19mo89w4+gPch+rD39Tac9xK+cPXTxmj3vdpI9PrKEPV1UhT3CWo49JnGTPbm1kz309Zk92KCZPVKAkT3NyJM9uuOdPWwToT3xbJs9y9CTPcaijT2ha409NZSPPVa8nz3orpM9kQGGPSWqij0CBqc9t5uuPU/EqT2xE5Y9VI+MPfr6gT3AoIs9eTCSPZOmlz0cw5899gqXPZSvjz2PsH49N3F1PRj8bj2+x4U9UWqJPeUbhz2zUYE9wSWBPZreej1RXXo9CumEPRrIiD1LfYg9mG2GPQHEhz1kr4Y9VfaIPT/lgz29g3w9jcF5PcJrdD3X9m49sgd0PZMyeD1cLIA9zQiGPb1qiT3qcIs9GiWOPc2wmD1bVZU9zPOMPVsYhj2eZY89aZCWPbC7mD1rxpg9EViYPaOimD0ttpw94lSdPeRclD2zA449JNOJPVQ+hz1RCoo9Z7+UPbDgkj3drKQ90PCnPfhcrT1Dp6A9X++RPQpXkD1kK4k9UPaGPXPrdz17p249oPt1PZoxZT0c5F09YmFnPYo/gj2kvYM9Es2JPYTBjj0l9pU9GR+YPbg3lz1/LoY9TC10PQ9Yfj3Y7YU9K16EPZeEej3en3s9pa6LPbiEiz0oX4o9iRuSPVDnoD21/pY91lWRPYBzkT30ZYk95k6GPUJdhD2pH4c9LWaFPQgfmj2mbKY9G82gPSAZnj0tD5g9l+GbPXK5kD1dYHQ94uRxPeg2Xj3tH0M9PqY7PY4yQz2Pb0k9TxBFPd8lPz3wDkg9ONg7Pd5/JD2t4SI973okPRxVKD0jPx89ttwRPR9oFD36HBg9BYIlPdHNOT0rLiM9/h8QPdGaCT0/c/Q8bWXaPPHfuTzjRLM8TbmxPA5aoDz5bac837qpPP17pjwQiq48UqG2POOvojwrnJs8x9+hPN+DqDxsyqs873e6PLwktDygY7c8B1SyPJGBnTzmlqE8kX6zPBL+rTwm+6s8t5a7PFyLujxox688JcCpPLTurzyfv7I8Lm6qPD9opDzeT6I8tKarPCyLuDx2ktI8PUzbPNkbyTzdk8A81PK9PLnWpTyU8qM8+iunPL37oTzvaJ08SymrPAAzsDyIxbQ8+O7CPC7EwTxu/KQ899maPKiqqzzrIbo8BhSyPOJWtzwKtcE8HFfMPJ7Wxjxf5MI8J7jGPHK5xDw/ts88vaPMPJfB3Tw4Nes8jX8IPWVx/jxXbMk8N1uxPFxOmzzgnZc8FM2fPEbFrjzIUaI8zw2qPIUkrjww76w8RB3GPETE1TxzqdQ83wrOPG2VwjzFZr883sa+PITIwjzC49w8dp7rPMqT5jwtMeI8mwfXPGb8xzzBgMY8m2m/PDoXzDzwztE8tBPAPBXksjxeQaQ8U3OgPBzIwTyKaNU8n71IPbKCwj3flu09hw8GPiUxIj4tfy4+f+UqPvykvT3Lcb48nU9FPLS2hjy7cJY82dMmPVn+hT2c/8c9zssIPtwrMj5bTT0+ooA2PoGUMD7bjyU+hlssPtfOOT77cTs+zjY0PsjhOj6R3zE+SUIfPojuIj6/KyU+XZcfPpzhGT6SYCM+Ix9HPur2OD40Ty0+MoUMPlR2Ij7nrTU+IJEzPkABIT7+Oh0+qDYkPqxSGT4vfhI+Rz84PutGPT4coDo+nhE1Pg+cFD483SM+XbxVPhFUWj7lWGI+acotPvjANj7A3kk+CFE+Pm8DKD5dCQY++nYuPtltSD4uEiU+5U4RPh5/Ij7VGzA+WVc4Pp2RKz4tOS0+85s9PtntKj64vxc+l6gLPgifGz5JVSQ+734mPgpEIj72JiI+njc3Pnl5Pj4O5z0+yohKPkdSLT7SnSY+W985Pi0KQD6I70o+5ZpiPr6kNT6j5RM+TO+lPVF0Hj2QI/087P+hPIjSkjxBP4Y80IuKPBcvlzwRj6U8jbizPK1StjxYXr48MCbLPONQ0DxKqdk8tIvuPGUc8Dy/Hu08hBzpPEwW8zw3we88DTrsPGGh7jyOgv88FI8MPfnaCj0JBfk8+pP7PHUO+zwPgvk8r2YAPZv0Bz0q9gU9Wx4KPTQKCz0zshA9N30ZPf9AGz27zQ09zDYQPZ9PET0VZRc9LZYdPT5OIT2McRg9fEoZPdhSGT33cRg9v8oYPYDHGj0IcBc9rs4PPSdOET1+kQ89VkILPfUxGz2MfSE9Q6MnPUkmLD0WPSw9mLIhPdAGKz2Z5TA9YuYtPbhCLT2CVTU9rzM8PQtHPz2Soz09RCg6PSJgQj2NREI9mrpTPXZMSD0VLjA9HQs1PZ5YPD1IMUQ9QKk5PdLVQj05E0891K5EPa7cPz3DTj89VsxFPfufQT2XWUI9DNpBPd9nQj2keD09iro6PY8sPj03Vjk9Rkc6PUi2Qj3+lU49ok5VPerxUz0ziFE9dt5SPekkVz3j2E89Ll1iPajOUj1KW0g9/TdLPbTARz3ZLT09r1goPUTQKD1JkCg9kKorPdx4LT0rujo9erVdPU0iXD29BU49C95RPbT5Sz1Hgjs9QX89PROmUz1lt1E9O4BEPXjbUj1UJFY9xBpFPQVMUD2SpGc9Oyl0PZ5+cj3a7Gs9Y7tqPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/nPl0PaVPgD2IMnk96KxnPRHQaD0h6mw9DRd1PZVscz1q1YE9ThiQPYLojT1NJYY9ipuBPWz0fT3ndY8947SOPetNiz3kzIc9AOiKPdRtiD3OPIY9N/yFPb3fhT2c2Yg9cHiQPW4IjT2q64E98pl3PaRKdT2ZKIA9lLuLPRY9jT2LPmM93dJvPXUsez2SuIQ9LBl/Pb8ZgT1TZoA9zFR9PedbgT2v54I9YvCHPVFDhT11FIw9kbiLPbHKiz1WsIM99xhsPe/7Yz3mlnc9NviDPUeWfD099Gg90VBhPSdqbz1K0HM9kkR1PXBGgD2zB4M9DeB4Pf7Saz2XsGY9eMxoPSJDcT0c6oE90K2EPcBKcj12qIA9UOeIPblaiD2oQWs9tndRPTBAZT1p43490/mNPTuMjT0lHHk9JN10PeLUiD3q76U9RTiuPfzfmD3BDZ89FUKZPUAzjj1Wi5A9iVKVPXkNmT05mJk9WjaOPdTahT0ikYE9HpaAPbZPiT0eZ5U9e8GQPaCLij2S+Y49j6uSPRWUmD02lJw9ijqcPc5slj2mKY89jYmQPXQLhz1riIk9KlGbPbwSsj3uybY9Gy67PXCfpD0LhKU9ijahPTpElz1KNpY9IlKWPe/ekD1fFIg9o5uZPVHmoz2hU5Q9rh6NPUz2jT16CqE9kHmtPSmJpz1ozak9E4qwPWTcrj1BcKY9zKa0PZP8xT1Purw9MOCrPWTZrD1olqk95D6hPeA7oT1mPJs9/+uUPVWYnD3LmqA9lfKfPdCwoj33cp89jNmqPR00qz3xLak91dWxPWAsuj31o6896K2lPQk0nD3lqJg9QS+WPY3Fjz1mb489tGGTPbvclz2JA6U9QJ22PTrJuj0I/rg9/kauPY9Anj0+65E9GG+SPV0Inz2hZqQ91QWoPU7/qz2Ml609IHWqPfBbqj37+Kk9wG2jPVgzoz37Aak9wL2mPfnSoz018qM9UvCfPSVbnT0J36k96zGnPVbsrD3ay7E9o2CePTMdlj2s1pk9zcaSPZ0mjD0N5Ik9NYqBPUL8hT0h3Ik9zUGLPWjHkz3+9ZU9HESgPdhBoj1WaZ49FM6bPdGHlD2C2JE9L4OPPSJ1kz21O5Q9qUKQPUVYij1qk4g9KL2JPa8TjT3kXIY9+Z6JPfxOpT1cqKs9SrmqPQF4nT1bzoY95t2IPTqvkz0AlpQ9Yg2IPZBJhj1hPJc9m+eaPXQZlz0q2pQ93ZmEPbJQez3iEXE9Ul55PZvwiz0DnY89Gg+VPSjuij04Pow9ya+NPXVniT1LJ409XvagPcTelz2PdIc9+y16Pb+deD26NHg90sh0PWJ6eD3A1Yw9OKKSPQ/fhj1aGIU9kIiAPVyvgT2SC4w9E5iNPSxMjT27A409WeiHPQ7XhT1UdYc9nJqKPRVRij1cL409/+SZPUTkoT2g+KI9hcGjPc//jz28C5I9mvaWPQCkjT1Du4M9DO+EPcQ1hj23vIY9Xo2LPY5dij0OeIo90YuNPeU6kz0Kt5Q9Wb+UPd26lD3oCpk9c3iaPfZQmz0ne5w9U3+YPXZSiz2+BYE92B94Paragj1uxoA9UTqAPd6xhj3DW3E9DXZUPY2aVj1LUFw9nFBuPXJ0hj1kA4M914p/PXG4gj2EmIQ95KODPUMxjj2c3pE9Pk2LPSKNgz2HyH897H18PaH5iT1z4Y09BN2GPYHFhz2x95A9qy+aPVMAjj08bZA9thqPPS3vij15hIo9l8+FPaRljD2uSpI9NcyVPQ1GkD0Wo4k9go9/PYdqYj3aP0w96SRKPeC0SD218EI9PMtFPYQPPz01u0c9NmRIPYpLQz00ejs9Tz88PXVLMj1T2xk9mtEUPYJdDj1amBM9F7EkPTJBIz3LgSI9QKImPVkUIj3rdSA9Xc4UPSGW8TyxVdM8XqPIPEDtwjwSurY8UoqzPB5vtzyZj6o8qHesPL2qojxaHaM8HginPKBwqDxvHZ089NydPD+xmzwdIK88jrCsPI01tzy1/Ks8YKCpPMmypzyaQKA88nqePB/4mjw1rpY8O5+UPE+gmjxwnqs8r+GsPNkXtzwrMcc8cLPUPMgl7Dw4RNc8UBXBPHrmyTwegM08iv7HPJvhxzzBssA82djHPKxmxTwE0qc8bSijPPmqoTwJpKY8s6qnPGK2qTz2GrU8b0DFPG65zDxV67c8F++jPKxEuzx4ydY8sgzTPPaHyDwStrs8TqzJPKBDzTyh5cI8O0nFPLEr1zwqv+k8dcbhPC/r4zx0avE8yR3yPPS87Tx3cMM8x/SmPFzynTwAn6E8iMqdPDcNmTzcMKc8eqy0PDBbxDy9c8k8K2fNPK/2zjwGEdA8RSzQPDZdzDwckcw855HMPNYkxzwGKNc8RKPrPBH24jyx0NE8cR/IPFDOwTxiHro8fSKyPFbSszyTt7M8UbmzPIPSpDzxtaY8JS62PG+/yDx6Jwo9u1cbPahOHD4aEoU+JUFXPhnLLT7smSA+WJIiPvw7HD55Yfk9oiatPX89rz2S98c9bADOPfGNrD1tNK09s8nGPWsHFD7fYz8+kuFFPtt7Jj6HmzA+KHIuPru3MT7CgzU+4AU3PjXYSj6RXDw+8hspPjt/Hz7QEyI+tegkPqeGLD795Bo+rWIiPg4vWz4HL0U+sbg1PkBxFT40lR0+BXYtPphrLT5LhiU+/UwlPj9qMz6yYBg+L5MQPvo/OT49Ijc+pVU1PsLBOj4lASk+1D0KPo2X9j2j2ww+kU0UPpW8Lz5kuT4+S6hMPjqFOz4C/RU+p+QRPhQWFD6wqRk+8ZoePrhzED6K5yk+azUxPk78Pz52dT8+a2NCPrA0OT6DXBs+BV0cPmP1Kj6Ubig+hgkkPgwMKz5smj0+tT9CPhqFTT5thUg+Rs89PgCDOj4J3iM+HVIjPsGWIT6T+xk+9bEAPhM8uT1/Ojs9XT0XPQdMgDzkKYg884mMPABihjxkXZM86XiZPKqRsDzuw8E8ZfjIPFpZ1jzLO9c8JWrcPM3H6DxeNuw8tqLrPFot+jy1DAA9X3L9PM24+zxzmwE95Gj7PBhNAT3RRgQ9P8QFPXkKBT2C2PY8Ne3yPBxSAz3jPfk8OI/7PJpI9zw3hvw89SoGPQHCAz0Zrf484OH/PPpGCT05pAw9huMBPXY+CT1dbQs9q5MNPdePET17HRI9Q38NPfDAET2wUg09DqoHPdy4Aj3Ktws9HWcePRq6Kz1IQC090novPSGlKj2AvCI9pZYjPbhZLD2KIC09f0MfPX07ID2Jay499s8yPZWgNj2TDDc9et8xPY0/Kj1NvCk9WWIoPTKBIT2zSi89HDo/PehSSD2GYD09eBs1PRt5Nj3PPTg93dc+PXIAQz1FTDA9bJokPV9CLT1vPDk9xqdEPVjlNj04FSs9YyYxPTMxRT2E8U49xt5OPZ/wNT2+aSo9trMuPbwqNT3IVDc9tFE4PXKjPz1Jz089eSZLPWgMTD3UZF09BUhVPX4xRz3wskE91xhDPaOmRj1ok0U9O9o1PX8DKj0SaCw9aBYaPcAVDj35Vhc9H6I2Pf9LUD0bhEo9CodBPShlSj0MOkg9J1I4PRN+Nj2XO0U9c6tHPWcRPz3k0lM9lhFvPXx4YD2vNVc9XT1HPf1iSD1g5jY946Q2PVFDOD0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8YNhz3zwIo9lKB5PQKmbD3gs3Q9E41+Pddwgj2fVYg9sHiIPR8MhT18uoQ9o3GDPY6Ofj0PyoI9DhGYPRx6oD3L7pU9BkKKPQB5kD2xWYY9adiPPW9tmT1Ju5M9gnqLPbp7hD38lo491TODPepFbT1+pHk9ciyQPb63ij3/LIQ9/dV7Pec4jj2CqpU9g8CWPdjdjD23YIE9rdOGPTRckD1dqpA9W+OQPVegkz0PUIg98rB+PYW2cD2hyW89eFRvPS0tZT2mkmU90XhtPUOXaD1+5lk9oM9TPXUNYD0TJms9HCVvPUUYdj1lYH89wl2HPY7+fD0yDGE9QLl3PYLhgT2qHIE9wWKJPY/Iij0nVXY9qdhiPQltaT1S11w9+DlTPcyLZD1zAno9YYyJPeXtjT2Yt4g9JI1xPS3hiD3V2Zo92fSlPaHhrz0U1ak9AgKYPbXDiz0v0pA9XqOVPXwilT0ReZY9wnSTPXA2ij3S44U9phWGPRKahD35uIM90eOKPb2hiT3ANJg91lmYPTE0kz0uwpY9diSZPY+jmD2nl5Q9U6eNPTyXjz1uGZM9UBarPU65rj3jc689sVutPR2EpT3+n6M9t7+jPdesrj1Oi5g934SOPb2ckT22LKA95/CcPd7Lnj1lOaQ9+R+fPRlonz132aA9Mk+ePW82mj1RLKE9WlOvPa90rz3OfbA9n76rPeFKsj0Utas9Sa2ePbrBmj2sn7Y93Pq4PZKiqz2Bva09aZqsPYO9qT3TOqg9GSmrPavBnj0Yr5g9tSmWPdlAlD3zWJs9EkemPV7wmj0KKJM9BHKCPTeWeD3gMYU9/BmMPZA7jz0obZI9QK2OPUDJkT3gj5c91pSnPa3crD0pwao9FQ6tPY/trD1tN6Q9Ra2ePbJomD3Tf5o963unPfGAqj3Sv6o9owecPee3mj2ul6A9LK+xPQJhtT06xak9lbehPc6dnT1JaJc9k8KbPU4JoT1nDKA9SJCaPfYHlT1Us5c92qekPXBupD2+bpg9RhWbPaJikT25QYk9PgiHPZLIhD3v/oE9IxWOPdPImD0jRZ49JnGZPdawmT2gV5c9PWScPSDooD38BKc94zCvPaOUrz3A8qk96TSdPSkokD2wnJM9n0WcPWeWnD1GgI4921WIPfXopT2FI7Y9OA+5PXlttD2TEZw9D5eGPX4xgD28ToI9S+ePPWHyjj1Q8Iw9xUSMPRy2iz0pt4I9LZN8PWw3fD1hHoY9CXqIPTyXgT08BIg9/DCMPbnnmz12TKI9TlybPSDikT11TpM90aGQPSVljz0x3oM9klx1PXhibD1EEIM96KmDPSFWgD1kRYc9oBGYPTcRmD2j55A9jWeMPRZNiD3fm4o91tmJPYfcgT1N8oQ9OJ6MPep1kj07z5M9bLGTPXVRmT0lnJg9ukeZPckioj02xqc9Kg6mPSCkmz3n3JQ9DjKRPTPthz01Gn490vZ4PSqjhz0AppM9xy6YPTJmnD1rEpQ9ceCNPU7vlj3Cr549WeufPUQimj2+wZE9dm+QPc5yiD2BgoI9HHmDPe5dhj2N/JE95P+VPXYVij13OYo9ZYiIPZR+eT0MgnA9BD9qPeXQYz1JH2k90TNxPefDhD0SFIE9dECDPSx1hj07/I09R0OPPdeWiT3w34495CmUPSLnij36k4Y9MpOCPWmyeT1qBXA9N22GPQmPiz0nUYg9G2eJPTGWmD1zIpU9BPiJPY0weD3zSmI9DcxsPQ+4cj1xVnI92fd6PaGhgT1PnH09WCFqPdOpTj0QK0A97j8vPcRzLD2Saiw9Ce02PUucQj1fIUE98HlJPTX/UT2xgUU9FdU2PeeULT3wMiU9xZgZPdIyGT185RY9+lMUPVf4ET1IfAo9jVQTPdF2Hz33cRY9YGkVPUTHHj3tUhA9ZTjnPPTO0zwCXc886FXBPFR6rjxWb7Q8IuKvPLrPqzxXvaY86m2mPKlrozz83pw8Nm2RPOS4kjzDQZI8PxKUPPRDlzxXXqo8/vvEPF5xqzwzmak8a9ajPAXCpzwPiaI8PSqoPBkKtzy4nr48IBzOPMWL0jyqQco8L7fOPC+C2Tw9rOA8BOnoPAuf4TzSsNM8P1vKPAECxTyjfL48e3LEPFRQ1DyKwrQ88KCwPB9ctTzGHbA8TFSwPAbCtTykMbY8EkC5PGQsrjxDt6c8xxyzPMSIrjyaDaA8gxyuPJFZvTylHMA85N7RPB615jwn/s48HAzOPHau2TzBTNo8YrnWPLAP0DyZWdQ8LJ/FPOCGvTw2XLk8Mji7PBLZqjyOb6c86f2mPLb6oTxUg6M875+0PFFt0Dz5TMw8AFq5PMxNrjztIa08OAG+PEwLyDx9dc48C/TOPGy+0jzsJ9I86BLuPIuJ6jzrCMs8rcu9PCqcujw6zrI8iNKxPKcZsjzy26U8eIahPIP1mzxw7Zw8IAuyPJaI4zwHbBs9pQ6rPSjd7D292kI+QxhfPq+PQD4aLTQ+gXErPophKj76Iyg+7oMfPncrKD5x0Co+rfgwPj2QND40HBI+Vs7fPW/zuz110uI9jTn2PddX+T0S8vk9mtAEPttBEj73ayM+lbAqPiOoLj4uVSw+BBcwPkFoNj6pZDE+GXUxPtvmMD4yxTM+FisjPqcAKT6L504+6jM2Pq66Kj5I+R0+b6MgPqxDKj6YRCA+nJ4WPmaPFT79KB0+fKsjPm4gJz710y0+8KIsPhmHLD7PN0s+OyWCPlrnNz4wTgw+9zAYPpFgHD55xSk+UnkzPnIkRD79ESw+v9gRPrOLCz5vlgA+52kXPiFAGz4upCE+K18yPs2INj5GTz8+Zg0/PrcKTT63yjY+8WwvPpCLLz7Hdio+tHwjPjqZJj6L0ys+iuZdPltNXT4ZGkE+fcMbPhxbCD4kedk93HanPVMOlz2HO0o9pN4gPcxi2jw2zpo8AJ6ZPEHdmDxbops89rWlPNWJqTzx9bU8nEXDPP+uxTyk2s48GFbZPFZY8jxjqu88q2/nPFYT6zxrFPY81vX1PJmI9DzDg/k8x3oHPf96Bj3GVAA9jqP9PPUHAj3VgwI9DN/2PNkr/zxznQI9JWf1PDrH7zxsSxM9nMUWPQx2Ej3h4AQ9rB0CPYbqAj20aAU9q0QHPS+JCz0eoxA9mWILPQ7qBj2uEA89c88NPWPqDj3BUxE9YoMaPXCQGz1q7Ro9jLwfPbcSHj2NthQ9TKoaPWHfID2/yyw9oyo3Pc3ROD0RtDY9s8QsPadHLT3KmSU9vKIkPXVTID21MSk9iqI5PYnhMz3QVS09pOkmPVN4JT2oyCY9JIcnPRzNHj3aOx89RsorPdBDQD3BdUo9Cuw3PQ4kMz2enjg9RDY2PdftLT3WHSk9O4YnPexkKj3iKCM9q+UePSeSJz1ReS49sBIWPbzzJj211lk9Q25wPRkacD1CPEY9jiU1PZ7rNj23/jU9wmU6PbmENz3JTTc9q9JFPfWzQj0RjUE9nIRJPT5iQT2sWkU98vE/PVCiPD3p4zo9RUU1PaNINz2ttTk9UB8xPVhNMT0B3zQ90GI5PTVWPD2CsTY9jPguPV51Lj3j/ik9/h4kPTVtHD2FRC89jpxEPXiYTz0HLlA9PShUPXceZz0WUl89Uh1HPXi3OD1fXkA9uEY/PWlHRT1ByEY9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+qS4A9umaAPVoddz36OnI9awKEPaEYiD2neYc9YVh8PWiBgj0bU4I9aMaAPeEKdj20WGU91DB2Pac0gD1MdYE9jeF0PXQfgT2y3pQ9G16aPQkBnT19wJM9nAmLPQf9hT1l9H09lGtuPdu1cz3W3oM9tg6LPVBGiT3NdXQ9OQJtPXYijD1nyp09namePXO9kz2/mIM9YjN/Pdm/kT15PJk9ALaVPbMslT3QmZY9I5V/PQdxbT1Ipmw9hWtvPSp7bD1Qgms9YTh6PYHacT3cv2s98j5pPTdhbj0Hy2g9eVNpPctldz0Uc349X5J4PVUidD1Bk209Y99yPZ2IgD2FVIQ9tBqIPbkEhj35IYQ9yxFYPfA4Qz3wX049dstaPUHUZT22SX09fveDPaiIhT2Jjog90LmFPX4dgz09TpM9mvypPZQ3rz3JGKg9BIegPXbdjT0sAIA9MjuBPVH5hj0OqpE9q6mVPbhZkT146Ic9Hcx5PROzgD2VOo89zdeQPUHIlD092JI9KkeSPT5xij2mhYo9sA6QPYRpmz335I09/4CQPeDJnD2x+5U9Tp6SPdwxnz37X5E9Y1SWPU8ukz254pI9pE+ZPV2pmj1W2pM9tHOMPckYjz2X+JY9slycPXoQpD0tRaI9QueoPR9spD12V6M9wXihPfd3nz1JVKU98pmwPcxTsD3Tt6Q9jGOgPcnTlj2Z7ZQ9ZKyWPYVUnT2RZZ8924uoPeymsT2YBKg91SekPSbDnz0HfJ09t9qQPZ36kD1Dopk9fM+bPRQ+kz08YpA9oA6RPYi1hD2T53s9mGSKPSrajj3+Z4892miOPYSakz36SZg905KLPTfjgj1JhYU9qySnPZ72xj2XwqQ9VLKbPXvgnj2mnaA9w1eePdKEpz1pd6s9Y32fPSfjpT0SfKc9ADyePagqoT0ZkKA9GsScPTUYmz16Kpw9jy2YPcqwoD1/NKE9oaidPe5Qnj1I4Z893mSXPfx7oD1W6qo9C+ChPRhZrD16LrM9ZVqxPWewoj2Y45A9fOWOPfBVmj272ps9f1SWPeAplz0yv5o9gFWjPTkqqT2SQKk9m0SlPV3+oD25lJ49mxKgPXHJpD35b6c9RpS1PUFGtj0hP6s9j9uoPQG/nT1yoZ09tumePQAbnD0xGqQ9tTehPS5Fkz0GvY498G+EPTigiD3e+IY9JvyAPXmmjT2fdI89w1KPPUdNiT1nQYs9sT6FPfZYfj36xoE9oeyOPYk3lz3JbpM9xM6NPcKUkT0pJZM9h7ybPcIamz2H94w9hLGGPURNgz0hFoE9M6qAPf69hz0piYY9bVSKPfGUlz38qpo9um+gPa1KmT1RFZo9ft+kPSKtmz1Lf5Q9J26FPUoHgT28qn89gnmWPRnOqj1Qtas9kbCjPe6xkz3+IZc93v+bPWKBmj1dfpI94/WIPTeGiz3nJpk9FheXPXOdlj1ME5Y9PRWUPS9RkT3vEpI9YUiSPSBVlD0yZZM9mcOPPQ/Tij3UnYs9GpWJPcgUjj3684o9s9WFPWoBij3vR5M9M0iXPVWloj2YK6A9omyVPZuclz1/oo09iGJ9PbcicD3C9WQ9u5pmPTLybj0D34M90J6JPaIZkT10T489+6iFPTGtij2/KYs9HjmOPUtckD3jFY49PuGLPWFMgz2B22k9hqB7PZWAfD31hH09FER4Pb0phD2cmpA96VuQPd8PiD39vok92xaGPeLAgT2id3094I1sPV4Xdz3wXoA9KbBxPc+dZT2/QG096Vd0PYx9Yz0Wqjs9qiMtPTEyJz1Y0SI9/KczPWJEST05VWA9c3hcPSCbWz1XqFY94/JBPe9DKD18Nxg9K3oRPW7LGD05XBs9CXoRPajMFz2yCBg9mYAMPUq4ET2hrxM9pPIWPcd0GT1fyhM9v18ZPaF89jzopco8rBPLPBpvxzyB97E8VyepPAZVpjzGyaw81GqnPN3fnjz9No885gKbPF6mlDzG4pE8gk+PPLgPiTx4h6M8J3CuPMcVqjwNsK08U6moPOREqTxZ3rc82we1PAy4wTz7sbw8+vG/PNJzxzwActA8nbvRPIeY5zwy2OQ8+KbhPHAH5jxp9dw8xbHIPMmjxDzTL8I8LdG7PFTwwTwpX8o8SN/SPPi53zy95M088zPCPNpWyDzou808Pa7IPPvevDwoz7U8VC63PE6IpzxvVZ48/TqdPItRrjyA1MY8lRrWPA3N9jxqZ+w89zjhPAd91Dx5Tcc8EHjGPAuB0TzsDc488HK5PEtSsTwPua48ST2sPELWrTzKOaw8S7O0PPkkvTxabbU8YsizPBYUxzzvWso8wTXGPKHGxjx/Vc08Ai7PPP/azzw4htM8gorMPMs2zzzxNNk8LDrlPNXa2DzKLss82728PDEutTxKabM8qj+0PLS2uDzLibA8qLabPE/WoDyU2sU8WknSPHyzCz2ZoWg9O3CpPXHdBz6/ACU+Ps0pPl35Oz741jo+3/kqPkzeFz7m0xQ+ph8WPotZKD4QFC0+y9AgPlefLz745DI+V/kvPjuOIT7f2B0+SHIZPjlLIz7eYSE+XaEbPgp0+z06p949qIzZPd3t2z1fs+E9D5TkPXBxAT4/ZRg+zZUYPoQvIz79gy8+KogxPpAJMT6BWSY+5iEyPhHOMj4fxyw+GE8nPgW0Iz56liM+QIkWPnPB8j2Nxv498g8OPg99OD4IIz4+SWs0PkerCT7NmCM+C7w5PjdjYz7m9D8+xiEXPuxQ/j34RgU+DY8LPpoLED7ikhg+6NQtPvdeNz5GGEM+0MA2Pk3BKD4b4C8++IA4PpkPMj7bAzU+cAowPigVOT4XxE4+BCozPpy9JT7QCBM+xT7ePbcpuj3MVcA9q3bIPbLy1j2IC8s923axPb7qqz06Akw9nvPhPE8EnDziVp08+7aiPBVQrDyu2KM8ncCnPCkKuTxGP7k80lq5PBmawjyWBc48GS7KPM2n1TzsVNs8h/DyPEoMAj1Zg/s8573uPGAP9DzCDvM81Gv2PGme6jyoIOE8F7wLPeVGDD0EoQU9Y/r6PGsZCj2d7Q49IugIPU6d/DxgewU9VukRPS5zFD0fcA09rtQTPbI9GD1yIBU9XWoSPXQjFD3WbRo9PHkpPac+JT3z5iU9w/QbPd+EEz0iGhM9VlEbPRNFID0M0h898qYcPbFoGj34NR49eosbPTE+JD1K/yA9heIYPZt4GD36qiI9Jx41PSynQj004Tw9i+03PadhLT0yPTM9oZ81PdR0OD08qzk9QbI+PcE8Qj1UgEY9hLc9PSreLz2TeCw9jUMtPTOkMj07pig9ansgPRzvHT38qSA9aLAfPQG9GT2Diio9Pw4+PZSARD2OpTk9gh81Pfa4Nz2zfDA93yc0Pe9YPT2QTzY98a4nPY5kFz0VQiE9zt00PfHxNz2ArDc9egc3PVpfLj2pKDI9n3czPaabPT018Dc9Ld4wPTJPPj3b30g9F59BPbHoPj20oTs97N49PRD5Pj1+0DQ91TI3PcCxND19iDE9Cu89PR1FPT2aJjk9kWo9PSsbOj3IojY9R28xPRALKD2Fki099JQvPfEsND0GJzY9DUYnPUVDJj1t+Tg9RfdLPRe6VT1X/ks9GZ5MPdbYRz0PU0U90uJIPfQSSD2UqTo9teY3PQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/CSByPaVieD1Mbok9xZyQPcyygj1MEoc9ukqEPch9dj1M9Xc9HJt8PXn7fz0yj3w99UZ6PTKidD3m13k9Kj+KPXgXjD3kO5M9x7mmPXKklj3CQHw9i9B8PUwVgD36lHY9E41kPUIfaT0gKXY98/J9PYgjhj25K4U9reWCPdjEdT2EXX49rE96PR1IgD2Mbog95K2JPYKjjz1KIp89wc2ZPVC2jz2fnIY9BL1zPeQqZD3K8mI9cXx9PfPiiD3Guog93beGPRQGcz19j1U9eABjPWUwdT3C+nc9X5iAPYLIcj3jhmo9as9ePYNwYj0yGGo9gdV3PbLsfj3R0pk9fo2IPQ2LfT1aj2M9/rVUPU32XD1M/mI9y49sPbsHdj0HLoM9uDOFPckNjj0BI409cJCHPa9khj0Vr4k9OJ6PPWPzlD3Fy5Q9Bh2QPVlrjD2kNJE9h5aRPYxnmD08DJE92SGPPX2Wjj3Vv4U9YDCRPSfXkz19Mp49ZfSsPXStqT1B06M9snSgPZu1lD07gZE9MnSKPdjRhj19woc92n+KPd+2kT2pTJQ9WMeJPXPvhT1Rf5I9wZeBPbvthz3eko4976yOPRnsjD3QYYk9jcSQPZ2blz0U/ps9DsejPePVpD33OJo9+XqbPWRsmj1s8pM9zMGZPScvmz1CrZg9Op+kPc4lnz3nypg9T+WZPW5hnD0CI5o9VrSpPWgpqz2GrKY9NXqlPZZhpj2t9qQ9w1CcPQMGoj1rp589MiuXPUxhlT0e85w9x6+ZPRrdmT0zFZA9GE2KPU9QiT0hlow9OuKWPVhnnT3ZLpY9bDCfPQm2oj02Jac9leOlPW9bmD3nCY4933mWPQXNmD2dUZg9KBGOPV5tmT1Gk6k9J0ytPfLrrT0RSq89Su6qPboZmj2ZSI8964+TPRuslz1CAqc9yY6gPagKmT1AsZk99l2gPf5Rnz2vS5Q97x2IPaUCjD3VvJc9XbKoPTzQqT3M5qs9X2C0PfAHsD3RvKY9QH2lPVEJpz0dmKA9KIahPYgWoj3rE6Y91NCmPZzenz18WpQ95lyMPdbXlT25nKo96g+mPczunj2IHpo9gyqePYQXmj1Riq49ICbJPUylzT2dLcU9laa0PT5Jpj3J6Z09AB6SPQQskj2A4JE9o42PPejukT0rT4893gKPPcbClD2qAZo9FJqMPTjokD0HDZE9OyiPPRNujD03QYM954uFPZXtkz2/jpA9hJ2JPbeTjT0AfJ49oFmePTUnnj3/srM9UZWtPVRonj2QApQ9LFaGPSmeiT1yVIU9NvuCPVEJgj16/Yo96PqcPXJhoT1q0549BW6fPWthoT1KaZY96LyLPdvukz02Zp89/iiYPaiakT0pTpE9wymMPa/imz3jJpc9yIGaPezSnD22M5k9u7iMPS0Kdj1kzH09wsWDPUUQkD3dtqQ9u0KsParipT3/J6Q9qTGhPSQymz1YPZY9mguKPTaViz3sto49KMeNPTeOiT226II9fUSBPQGxjD1z44w9xBKQPQJrlj2irqI9t5unPdZEkD3xno89A8OQPQ6LiD1S+YI9k9mIPTgqeD0c9Wk9ZlBpPdB3cT3k+YQ9QgGcPXYenz1J3ZU9oSGTPZXHjT1JsI0935qIPa+qjD0Wx5M9/l+OPeSLfz23/XA9V315PfVEjD28+Yw9zECKPS8BhT3G4Yc9NImXPSHOkT1vQ4498t6UPdnojD31UZE9PzmOPfVhez1O7W89fRluPULFcT2g7Gg9/8xRPZ31Sj0XtEA9XsA9Paq+MT3WQzY9+Ug8PVMLUj39wFo9Nc1WPaanSj3JJUY9lbxIPZvyKT1LkRk9m6YcPX3ZIT0YYyQ96L0XPfzCEz0VXBU9z9UUPU1jDz1rZws9KhstPZtdMz1QGCQ96iEhPUutAz1nquQ8XY6/PGb6tTwTEbQ8O22nPPiUpDylQas8UE2tPL4KsDzHwK88TvGtPE8CojzC5qk8wAWjPEqanTx2Jpg8tXioPAM4rjxSJrA8+0vEPC3WxTxWGbk82D6vPA0btzxfrcU8TMXMPE05yDyobcY8lNzFPPvlyzzsF9Q8NenOPDT10TyI1s48Jka8PNHq0DyXRNo8PO3WPNp53Tzt8eU861LbPNm33TxS/dk8vcvJPHhUyTxXccw8Y3/NPGMbzTxHosg8SnTIPO6HtTxLRKQ80qarPNK0rzzGVKw8ttHBPKLf0Dw+2uQ87nLHPGCavTzrMr88bunAPNe1wDzRC8Y8DWbRPP2csTxeHbI8EoK4PNxHtjxAkbM8YmXEPCZFxjyLvbY8sXi4PPrcvjxjgsk8LevPPNgW3zx/pug8sWPdPJ2r3Tz8DO48y1nhPCU05zzGnOk8qtbjPJ8Y4Dxt18c8T8fEPMiesDzs3aU8/M+kPMxDozweppE8n3eTPA9dmTwP5rk8WZlvPTetlD1pcRg+y2s2PsW3Oj7oCzY+ezwqPuhNKT62Syc+iY4dPgeQJD61TCk+uv8kPmDsIz4ZSSQ+9oooPn4pKz41DSk+cT8rPg4EKz6Uvyk+XiUnPh6bJT6cAzc+DKYxPsAQMT7GXjQ+niMnPjoxHj7fMQo+95L8PfI4AD4cQQ8+nOwMPonk8j0DF949OVQMPnvHGD61oDk+wXI1PtAMRz5tGE0+bxg7Pg5RNT6+BCY+vxcmPvlWID7t+Rs+TWwhPg8tJT5na0o+YSiPPozFcj4g8yU+LKUvPjGaMD4GZC8+H5UzPv2ZED7m7eU9u8L4Pe6TAD6ckBQ+foAtPnLmOz5btVE+nOZHPp8MPz6rzjA+8Lw/PjTJOT56hyc+d+w4PpWVMz6lkSk+4A4uPgYaED5NPpw989LEPG0crDyQMog8O4aRPK1Rojxeqqo88JCtPHWQqTwfuqE8kaSnPPAfqjzEK6U8QUCwPHaCtDzTYLk87lO2PMo0uDz478g8abzCPEOfwjxGp8Q8+v3KPH9T0DxM6dg8uQfyPNSr8zzfAPY8pm/2PN3X6TxUFu48+WvwPP6H9Dw8YPk82J30PKd6/zwFS+U8poTtPPxNAz3efyM9bJgqPUvvHT2oJhc9HlMbPRWwID2w6xo9J00SPU6KGD2vDRA97xsMPaJKET0tNBw9cT8dPRiOHj0yjSI9f9omPS4qIT2/JRk9lHcPPUiTDT3zTiE95bclPeEfKD2yJi09cVklPa99Jj3Owis92j8lPaZUIz3lzjA9lR0nPaIBLz0Iozc9gxIvPQjYJD03+xk9awcePcNAKj3zcjA9AVYzPVCDOT2ouj49MHg0PbKPLD1uzSg93MQqPR6OOj1RtDI9hcsfPZQ0Cz2Dkfc8koL/PB8qEj1jgys9v9QzPbWFPj1gV009HN9IPSPXRD3kPjs9sSoiPTt/Mz0Wckc9Xa85PddQID2RsAg9RHcXPc+GLT0H4ic9ogMkPc0XIz27kSM9kLonPdN5Oz2xd0c9YQVDPcMsQz1GnEc9D2A7PULZOD0NsTs9P209PTbrOT2vukM9pkM1PRa8LD33RS09zRs5PXA1Sz1Cz089ux48PapdOD0Jezw9xkg8Pe8iNz1c2zE9Rh4tPd93Mj2KHjY99AgwPf0VPD3IBUk9lXdMPUZjRz2z6ko9hvZHPTaTST05QF49MmNQPUBnMD1wvig9SJYfPamzHT0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+97hj1AQYc9cf6PPR+Nkz3UaYk9GLKFPadoij3EE4g9jIKAPWCHez3WnXA9T8t0PX2NgD0RcZM9vn6ZPXphmD0wjo0983iHPbEYhT1pTGk9uFd5PWvLiD0thZA9XHSVPW3XjD1ryX09BdGBPbZQhz1SIno909RzPeIleT3IQ289kKFrPSd6bz1qhYE9kDiBPdPAhz2TrJY98nOcPXq0hT1P8349OAZ4PRLxaj3dZWM9oB9kPW+Ghz0JqJE9GHmWPfkWdT3020I99TlKPQP3aD0TD4A9AKmBPYFeZz3CbmU91aR8PSUNeD36qoE9W7iDPTZsjj3NI5A9KEeJPXD1dD1bJWA9S9dgPbTKVT1av109m/h0PRuChj2Hd4U9zYOFPeZlgD0sg2w9suxvPSoPeD2513494Qh+PW5Oez2GT3E9BWB4PRu9fj0pjYM9nViFPcEzgz2O8oU94bmKPchXjj2yk5E9YTmRPcwjij3NS5k95iylPU0anz2EjJ09OMyfPXjAlD2wxow9Ci+SPccniz2h/oU9V/uEPRNDiz0XR3k9SkeEPZATkz1mLow9rEeJPSxMkj2Cyoc94WmUPZ0AoD3z3ZI9QJebPVMWnz3YTp497baWPSSilT2eWJg9hfCUPV1/kz2+boU93BR5PQtbej3iYIM91DqNPaxBkT1JdYI9jdqCPaickz1jwZ09gqOcPYBJpD0Sp7k9Ys+3PS9spT39i5E9+GmIPc71lT2XSJM9V0CKPUHajT0Id489cMeXPeATnD2txpg9Ek+TPcXPhz2p2oE91VSKPcGFjz2614Y94XCMPUE1kT39jKI9k5mvPTSRuD3FpKk91e+OPdCyjj3OQ409vUl4PfTLez37/Ik92PikPa00tD0g5LI90JafPQDXkT3sSI8927OePaV2nz3w7J89AmSfPW3Zlj1l4549pYSfPbvblz1FW5g9EqydPbh+nD0zRpg9+2KiPVDLqD2YlaI9BPCoPSMzuj2Ja7s9m0SrPfAxnz0mHZ0925WaPQC1oD22iqc9RBCiPdmVrj3ABa49EMWkPZnkmz3qnaI9bumfPbzyqD3M46k9iyqwPbiOsz07Jq89NY+6PdjWwj0QDMM9afW7PWINpT2YnZY9kROZPZCjjT1J9Ys95paHPbDUjT1gBJk9owWlPZLVnT2DJp89sYubPU3kmD3sz549HHefPethkT09X449vomEPU4TjT29hJY9yjqhPbpCnT1evJw9gpaePQpenz0zTpQ99uOQPW2hhj0JjYU9aHaFPerohD0iF4096f2KPel0iD2QIIk9mNGHPX7tkD0JPJU9PnKKPUxThj15cog9VT6HPSu7jD1ZRZw9KRipPTwJoT2MJKA9oMiePQLvkT1WwIU92LaUPT2Cmj3DKpg9E2CGPYtAdT1aKnM9jWyPPUKToD1a7qY90VGjPTONlj2+InM9FEl/Pe7ZkD0Y+o09h02DPVWTdz390HE9nrhuPet8cz3HKII9nY+SPR+gjz0nlZU9NvmbPRSjlD3gcZQ9mqCTPbd2lT1ZqJY918aQPXrJjz3O3YY9Jw2LPSbqlz3AIIw9vkaBPUt2gz3LyIk9rcyXPR/3rz3Kq6o9+naZPfFjkz1N6I49CmKTPbtxjT0W+oM9j32BPY2hgD2RSYM9d+WJPbtqiz0C+YQ9DwaDPbmtgD1U1YQ9s5GSPWTbkz09v5s9CtCaPVp1mj1bjY49o9uGPao3hT31+20915VVPWTbST0X2ko9NqM+PTkOMz0nhzU9TAovPQnRKz0I5B09yk0yPctpUz0csUs9aPQ1PWltKD1jxiM9wL0kPTxlIT034CM9k18oPU3FIj0sPBg9laIZPfYXHT3F4BA9NJoLPexhCz3lIwg91OEYPeYAKD0+3CU9TS4YPRIYFj1DzQg9Q3/wPGdFvTwVqqY8gfyhPEjiqjztDrA80AeqPDWVnzyKl6M8scerPMuTmjwqtpQ8bj2nPCpOqTzTp6k8PTenPLkopTxJda48BrzAPAHRsjxN+bg8GRTBPI/2tTyDAbc8Lc2zPOd/tjwEiLk8Bze9POotxDzuvc48b5zIPPY3xDy8Kb08uJ6/PLBm2jzdGNw87CvDPKwhzDyEItA87A3PPErpxzz1xsw8U/jJPOcn0DxP3dI8iJXRPGmNxDyu/Mo8kNXYPNv60jyzuLo8mA20PN6twjzRWcY89O/JPDG1wzxIJ6Y8jbafPO7KqzyLsq48PFi4PK7rwDxHy8w8+RTPPAwPvzyi0ak8xIK3PMd+xjzgOL48gGS7PPfTvDyAF688PiCxPHmLwjys1uA8c17jPN3oxjzPLM48an/rPGFO9Dwfqf08tcz8PBPu5DwW0Ns8gHTqPLfE3TyimdE8dufOPF8MvTykjaI8Q0mUPMK0lDybLIs87KiQPDbTiTzEV5M8A7TRPGjQfT36nME9iIkYPiNrST62tEI+hBghPrw4Ez7IFg8+H6kYPj5RIj4wchw+Mzs4Pu02MT5eziU+jVQgPq/XOD5D8kY+VzIuPtSMIj6f1iE+kd0rPiRgLj4KMTs+s0s9PvXGPj4TvEA+HSFCPo5zIz48NS8+GQ8pPqjoID4KEiA+BLEgPogeLz5fsTA+8fECPqxuBz7rlRM+u/Y+Pm6BQT652Ec+d9I8PoGiQz674z4+yF0jPjxMET7GlQ8+hNMWPiRaBj5bHvk9gab5PWdkPz4yfEI+oawrPhmTNT659jg+RTk3Pr+FHD73kQs+37EiPq5KGD6GHBc+HJkNPvzyBj60Myw+UPYtPnoOJz5Lli4+eQJCPqQTTD4OB0g+wP4nPrj7IT57ax8+HDEKPrLgsD3L4h49VXiMPO7zUTyJ8ms8WdqfPLvxoTzp2ZU8yzSiPHgEnzzAmp08rW+bPO8+oTyugZ48qumgPB9xpTyfxKg8X1+vPISMuTyIOsA8DjvQPO0Q1Tzsr9U8iIzTPHxZ1Dy7f/U8uDz5PCa7AD3aywI99ggIPXrqBT0xy/g8ZUT4PFFYAz0LAwo9EI8QPer7Hz3lwyQ9YbIEPS8iDD0vuRI9B6oePZTzGz297h099pQ1PYKnLD1OCiA9POUOPZqEGD2QAhY9VkYbPccTEz39BQs9ErEFPc6oED13qhY9Q4cgPV90LD1EkSk9JEkmPY9GHD3VQSI98HkyPTqyMD3Ghi89+HssPa80Lj1yySE9n0YkPcXBJT288ik9uNwrPYufKD2baCM9jH8bPXMBGT3FMxU9YM0YPe9NIz3FNTU9WdEuPbyiJz1ycS09y9YzPQ9xNT0kCjQ9ozc3PbjaND1vCzc98BErPYeeEj2GkBU9YIcRPd8jED0igxc91xwlPf7/Jz3aIik9jrc9PRErQj0hTj89viQ4PSwqLT1Gmi09qacvPUayKz3gMh49uiEZPSl4Hz2GMRs9YooiPU1aJj2YXyg9+gozPV9eOj0JhEc9/dZSPffuTz0/AkA9ELEuPXcnIT1AICk9v780PX4cPT0d6DA9fRA3PZmZKz1eCzE9M5o4PdyiOz1TdDs9cXQ6PQvdMT3Tgzk94lY/PWrIPD1M7j49SEAyPfyrND0YXEE94IdDPbVSOD0g2zo9n3xJPf1OWj2uzEI9Wks5PYboQT2RNT09yVcnPfa1Gj0ZShU9BE0SPfhFFT2j4hU9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0A7gT3FToE9qkKIPSxpiz3esoM99h+CPbi6fz26+Hw9bw5sPcVUeD2NbXQ98Gx+PR7Rhz0QL4s93PGFPaAMcj1hjHo9FvZ3PWfLdj3aSnM9QIF2PdGeiD0h8oo9Mi2JPSJ8iD0PNoU9KbGHPe8cjD2ywYQ91kWDPZ6rfT1L2nc9+jZ+PaIzcD2WqXM9aAeFPY4lgj0yL3k9D6h/PfxifT2P8Ww9eXdwPdZycT34RHA9koZ2PcOBhj3fHIE97jp8PTsPgT0itWs9LORdPSy7ZT1N9XA9FFpwPTHkbz0w4mI9kEtrPUY+hj2pyIo9vPiIPXZGiD1RhpE90JxoPX9wTj2V0lI9wZxPPQi1Vj2K/Gs9d711Pesrbj0FWGs9DUt6PabTfT0XIm49F9JjPZXMgD2SIIg9eamIPUZWjz0TO5I9veeGPdUAgj3OBnA9RW1vPYjPgz3JKIY9ZqeNPS0Tlj3ykZY9YvaTPf5jkT1dF409MoqGPXP4hD3uPJA9/pmYPSkYmT08pIs9AEWIPcoRij3ZOoc9VlWEPaTVgz32SYw9mTF/PcNQgT0qu4g9siaLPXL5iT2ZLY49lE6TPVqNlj0KGJk92Y+fPTCPoD2XDJs90wSkPZXJmD2tJJs9GgKaPRr5lz1fR5Q95VKkPSRMoD34LJc9wlmPPU81jj1NpYo9EjGFPRFqjD2uzJo9kCucPVuWnD2+yqE9lxCgPWb5lz2c3JM961qJPSOnij1TDpw9iMGgPZ6Bnj2B9qQ91H+7PW/yuz3qoq09pR2kPXLGnD2OEYY9JEWNPTpMkT2Z9KM9s/6qPSKFqD0Q7a09Gh2dPWexoD3BhrA9iR61PftMqT06J4896TiMPSGHiz3KKY89F1egPWOlsD1w07A9eY2nPdwboz3CGZM9V36aPRA+qz2YTa09m3S5PWY2rj2B4pQ9f/qcPUdGrT15/LM9QbavPV4ksD10qKw9sg6sPXTFtj1SRLI9OYe0PUtlrz0guZ49uwuSPag7kj0TWY49qzWEPTrXiT3r+aE9TFOnPQGFpj0eY6o9Rt6hPccwoT0XZqM98/OvPThcrD1T9Lo9jvi0PWo+qD0HMqg9VLuxPeuHpT1tCKI9jKakPdukmT078Is9q6WMPdQjjz22gZY9er2ZPWy3nz2NxKw9FImxPZmQsD3DD5099/6YPXOkkz37yJM9nPmbPVlrnD3ef6A9H5KgPbZJnz15jpk9eyqmPes2qj2Ccao9xi2gPYEwnT1KOZo9FlmOPa25iT37+Ic91WeDPV2Jhz2RCYo9hFOLPUgolD21QpI9mZOKPUdmgz3GLoo9AzmNPRPiez1v+n49HqqGPQsKkD2kEJo9glegPRTZpT3G4ZA9FAaMPcZiiT0cxJI9SjGaPUbkoz2J6ZY9Ge2OPfeFgz0VaYY942WIPeFqjz0a74w9ltyHPaGngT3S0Hg9ioN/PfKTjj10L5E9t6eQPe10hD1vVn096HuAPZmajD2+tpE9nfiWPZiCoj1Xs6M9p66LPVtyiT3AUYg9QxiKPV8WjD3EFpE99gysPbvKoz2TZpc9I1GdPYCtoT35t4g9iKt7PbiJgz1qJY49YG6OPRKsgj0/fX89Ee5uPQXzdz2RMoM9fkeMPVzkkj15/II9C2WGPfeajD2I5os9AI2FPS6dhD3yUYQ9knCHPeySiz0fD4o9esl+PZlehj1Xd5A9QmGDPXffgD0ulIY9wGeHPU4fdz3dHF09BMBCPUp3Iz3tzB49fi8cPbFnEz3SsSc9lCciPXAJGD3uFxY9evomPdhtKT1GaS89ihMYPUZjCT25dQc9ewIIPRTUEj2ukg495nAXPfJSHj2nGhw9gQQZPfq4IT2G+x09dQQYPcECHz2X0SU9CWwZPXnVDz2dqgU9mz/dPOm5xTyAxco8AhrWPJ9mxDwO/KU83PqrPAOtrDygTK085bCdPAFuijw1JY88c5qaPIS2mzw/Zpo876ipPBzGszy+Bqw8B6mxPNz8sDwqPLQ8FyXLPF/u5zzEeMI8bWa8PLqjwTwUar48xzLKPDMCxjyCV9M861zVPN1OzjyBB9Y8wKjkPJpy0Tx4ecg8TrTAPMP9ujzJdsM8YsvSPGun1Txcy9Q8sljJPBq7xjxK+co81/7/PFnD8Dy3h+o8SM7dPIVO2zxCoMk8vEbLPMUh3jzBz9Y8gVjKPLaaxzztZsE8R629PMJ5pzzgoZ48R+ibPMnrmzwJto88g56YPDzvpzzPFb88eMPRPDVk0zz12Ls8m6G5PEHbvzxEjcc8NfjAPJ1hvTw+dbg88fK/PH29xTz+p9E8NHv7PEasAj1+Q/08RhvVPFea0DyYbt48qDAFPdMxBz0iAe88kajYPEGM0Tw/VMs80/ivPCqJqDw9K5g8rXuVPIjGgzxe54A8lP2CPK91gTzNHmo8PkGKPC2dID1EYqc94akNPiilHD6kUUw+t/ZEPldxJT7x2yQ+5aIfPqU/JD4epCY+PGoWPizAIT6YFzI+cfk5PmefPz4gE0U+6KkvPu31Lj62hDI+rZE7PpHQRT723T4+hSxOPiiROD6sfyE+gsEmPnDaKD560Ss++qosPvyoKT6Xvyo+19UiPm2aID7ukiE+Ymw+Pu77JD6agRU+43k4PoUtQz59B0o+0Y4lPkg/Bz5PVQs+/0MtPgWdKD7KVRo+8/oRPpRqFD6iQwo+VR/WPSMP7z2gqxg+aQ0yPtlSNT7w6SE+JHwsPooNJj4mAQ4+hp4mPvWIZT7/MCI+BQYfPswxGz6nuBQ+ONgePtRyLD5lljM+30o2PiG5NT6s/UE+joZEPqKXET6f7rA9xpCFPaLr3DyU/4c8Ai3DPDGrqDx2xWM8yg9kPHcPgjxnupk8VemcPDcKpTy3NbA8ZmWyPAWSvjwvRMc8kzLXPPAUyjx7pLY8rUWyPM/7uTzjM+M8LuLuPDgiBD05NQI9oDADPVC0Cz36iwk9P/8IPZo3Bj2uRgA95dkGPQLKDD177/08hd72POPF+zw/cQA9VAoDPYi1Cj3zESQ9hs4ePfocED2A3xY9QV8TPVlhEj11UBg9G+ErPYwANz3RlSE957oXPQ4ODD1ulAw9OOYZPYrpHD3HfBk9jZYUPcxSEz3TyR89+I4bPa7tJD1/eCg9w0QsPcVdQj3ycEM9XPE7PYnHLj1J2S89HVAvPX6hHz0XRSk9JQglPSktGT0T4Bo9n04ePVJYID3ruyc9QI80PeeHQj3lyUA9jOQ1Pfa1Mz3i0DA9m+suPTMiKT1yMSI9gqQpPU7LLT1DxTg9OQwsPXY8MD3T6Dc9fUs0PYuGLT04EyI9MNInPQLRKD29oSM9o3QoPY17LD3mejQ9qo01PSxWPT23BEI9rJpGPZ7ERD1H7DU9bZ0qPZV/LT395S49ZCMiPdGXEj2WUhk9yI8lPezcJz371iE9Xz8TPSsOEz1Emyc9I006PUdBQD0ooUQ9rb8tPdr6FT1Vdh09JuslPRIoLj3+ZjA9fJcoPXCeMT3uijc9tRE8PXygND3pSzQ96hAzPXI5Nj1glyw9qCUbPWB2IT1LqiY9B6E8PdBgRD0fvD09J/ZMPRLwTD2ZfEs9MAFMPYFeTT3n5Es9YphAPc1XMD0wIyw9VOAqPa8nLz25XiA9cq4ePfQ8Kz36xS49utUuPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH92RnM9f3l0PbB4cT1Kz3c9Os1mPYJrgD3J6oM9/xKDPQ5Ogz32PYA94Ex7PR6jeT0YOoI9jFiAPZl9cz3o9Wk9r8p8PUd6az2NCG091Vp9PSPNjD3tdYs9cwaLPTTuhT3zm4A9sz+BPZydhz1XpoI9wEOBPbPogj2OxYE9AQZ7PbgHbj0sYWk9yR53PfoEdT0CnG898p9yPWh/gD27yIY9VSKDPZgEkD055pg9Bg2aPalmij34sHc9vHthPdDfdT3mhX898rt6PQ+aZD2sG2I9SzN2PTg8ej22RWs9AuNkPQl1Xz28XoU94raLPUYPhT2izII9uRyCPREnWT0gN0094axfPebTbT0o8YY9YheMPXUybD2KwmY9Kxt0PTdzaz3lFFo9ioNYPQY/bj23l4U9mb2OPRINlD0EII89BD6NPeKViD1GFHs9LF55PZnkeT3g7oA9BrKBPdB6gT26aYU9ffOAPSG1gT1hdYI9PZ2CPdP9hj3mVJI9QWuVPdqNmz1rtaA9xraePaRvlD3TR5M92nWePT2wpj3jhZA9kNKNPSO8hj2C9Hw9f4qAPWBmhj17Uos98bqLPREIkD1dwJU9RBWiPediqj2vIZA9RICNPYbOkz3wd5c98QuZPTEvmD2nP5I9lLSRPeoGlj1CVpo9GGmWPfT6iT2dd5A9b2WTPd3imT2EP5g9OfinPWlBqD0PAJ89T02QPf5PlD0ReI49wxCIPVnyjD21O489vnmWPZjYjz1/BIw9FxKZPYw+lz2+LZ49FwKiPYaboT3ArZc9+0aMPZepjT0l8o89LxqZPbeepz2qj6g9uj+pPU9tqT1YFaU96QGwPcx5tj3f56A9EL2ZPb/GnT3QBZc9SJKQPfEZnD1mSZ49B6SePdpjnD3am5o90q6UPW9Blj2mvZ492PeXPW7Knz1wAp89v7yZPQn7mj3l56I9N06qPf6IrT0qc6w9zKmoPfSVoD3TpaM9G0OkPV+xmj3dJpc9s7uQPRejjT2naps96fioPWuhnT3ImqM94gW0PSX3tT0A36s9eUyfPR6Hnz1Fx6I9S7KhPSlUrD2Mqa89ulSnPbSPnT3U6Jw9YteZPSuZlj0bqZs9IeyoPSHXsz3JXKw9IMihPWljpj1/4ao99pWfPc6hmT2Hx5k9aM2TPYhdjz3fq5U9h+SXPTmWlT3b4ow9kZiHPVXsiD326IU9vJ6LPSg5jj2/1o89ztKSPV5pkz25v5c98zmbPc1kjT1MBoY9ux2IPbjEjD382I89EOeXPUGRkD2EGJY9ikSOPW5Lij1qpJI9xpyRPabDmD1eto09/wGJPRdJjj0VDIw9JDGGPavegT0pmYc9L82RPRcbpD33jpk9ZIqBPWV/dT2dcXo99CKKPYcnlD0ldZk9HU6XPVeElj2UQ489NL+BPf/Jhj3Ua489eDCFPTaWfj19pW09b9pvPR0Zez2RlXg9OKxoPR+hYD0PO289aQSEPZo2kj0HbJM9a4+TPSfgkD06N5Q9R3iZPUSRpj3t6Jk9qPGQPSGGjz13KZE9zuqgPUUHrj1xLKI90NqaPX+omD33So49acWAPaf8gT3s/oI98QaFPa1qhT1vg4A9mWRyPSeBhD0m6JQ9I9efPYlhnz0GM5Q9OyGiPRFrpT0FLpc9+oKMPbZ/gz1OKIQ9DiiJPaflhD3gR4I93/6CPQwMeD1GNXM9r4GBPXKliT3kTpI9wXSQPYRrfz0FqmE9HaFKPWehLT3mhx496HkZPT8rFj3NuB09BM0fPeBAID2KKhw92rwcPV3QFz39OA892hEJPZcMDj2iNRI9ucoQPSIqFj0tPRc9VX4PPZa4CT2buQk9P58NPXWOFD2Gpxw9cCouPVCdKT0BAxg9r48SPSXyCz3tJQc971zdPBjPuTz1HbE8J+SwPEgVszziXbQ8M023PAt7sjy6jag8PQmkPJTqmDzQTIw8yomYPEnEpjw6yqs8A72rPPl0pzxVM7Q8cqauPEDeujx5Qrs8cj24PENAwDxg5dM8SgXXPEan2DysfeI82YfjPKsxyjwF98w89zLMPDYu1jx4HOs8lTXxPPn19TzbAe086uPIPA1tuzw2DLI8MgCzPCZ9ujy/08U8e4DFPLG+wjzgLNQ8IS/dPHoQ+zyRlwM9/zL+PI2Q8DxsdeU8OAXdPH0VyjxCyso892PLPHEtwTxtf7A8SxqtPIMPsjypuZ081BWUPFFFlTyngoo8hO2IPBEfmTwDBa08nAO3PBXRyjzfF9g8KUDRPPs3xzxjf8I8DIazPDUjtjz9u748sw7WPLeR9jzsFgA9Kir2PFdP/DxiJfk8zxX5PNXT6zydwNk80hXgPI/G/DyWk/880JABPVYm8TwwKMo8pz63PF81tTwsO8Y8nN7mPE2QIz0OHt48Z+2FPOcrdTwYAX08sjRxPP+fCD3Pl7k9rykmPgVhSD4cS1A+pVE6Pm/9KT7cpyc+lF4rPq8eID6A5B8+fiQoPmqhKz7VYCk+WH86PhL+Kj7uRyU+OwMcPoDgKj6Rqjs+W/otPukBMT4XEjk+CZEyPgR3Ij4Oyx4+uGYSPvbBED7XXBU+tcgoPkE0LD7teh8+q58dPlkqJD5OdSU+OjswPkadSj5eOzw+g9EyPm3zRj7kwUs+BGFLPqbtNj4xbiY+ZiQiPmu6HT7ONB0+yv4hPgU/Iz5EeiY+IGsXPsaTBD7ceQk+BNcaPsaUHT6GmhY+rqEWPsAVGj5RqBo+nKspPpxQYj48NV0+9s9EPjbXRT5kZjk+O+gpPpf6Kj5l6zk+lXMwPuabKD4kLi4+l4QVPlr8nT0u/OE8rvhzPAZbYTyCkoU8KELLPDkpszxds5o8xXmvPKOOrDwQeaM8aByuPNE0tzxBS7c8k52+PIu9vTxq3sg8QwLZPCza2zxLWsc8mai+PHftujy6qcw89KLnPK3R8DwZ2wE97ToLPZ+AHD2P4SE9c5IXPcqw9TxpRts8mBHuPB8FBD2LUAg91AUIPRfgBT0Qd/E8HT30PALICD0WKBI9yUIUPY7JED1dNQ89sL8aPSKtIT2EjyM9p5slPdg/Dz0X1AE9+L/9PAmi+zwgTwE9gIgQPQ/SIz14Sg89Jo8JPfemEj1uXhc9iGIVPXSqGj0AwyA95dYfPaGkHD1ocRg9ibAZPTbwHj3XvSc91rAqPZiwIz34lhM9e6sYPTQ9Iz0WKR09fOUbPbjkIj3yxis97AwwPRD6Oz1mIlA9vnVIPSioQj237jk9Do8vPWEDPD2LIDs9VTc5PTe/ND0VrCg9920yPQ/POD15ekY9vSlMPZfKRD0kmjU9q7U6PczbJz1MwSA9WV8kPZSyJT0iZS892GkzPdj1Lz123Sw9Bx8oPSi2KD3Qiy09k5UuPQSGMj3tRjo93IozPfGPGz0QOwo9p80FPakMDz1J+BQ9LLUVPV35Hj09byM9jdMrPai3MT2WYEM9HndHPY8PMT2uWiA95z0iPdFmKj1XJic9Wb4fPZyQDz33oh49PzoxPZ0XOz0JXD49MME/PXiFRT1wWy09j/YWPaE2Gz2dHSM9pg0mPeuNNz1N+UA94FFBPQGrRz2r4UU9gtFCPd/XJz0BBBw9xVkmPQdRMD2OaC89eVkuPZHDLT3OjS89Kf8nPU7bKT27aj09AgRBPQIEQT0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/20BdPfCnUj2s30s9N35CPb7BWj3afXU9sU13PXX+ej1SfoI9l/+DPQ1Edj0D83g9p6OCPUtHgD0nfn49/XyJPVUVgD1MXm896BF6PctQhD3JfIY9eDyKPW3BfD1VI3s9iRp9PTdFeD3hcXQ9/ftjPRtscD2CT3Q9AKhpPQKIZD0ozmM9n8p4PYUbfD2CAng9mUqDPW0JiD1j6og96wuMPVADiD26/ZM9JriTPZgChz1UbIU97CpnPQDdaj2WLWs9C0lOPbd5Tz0iMFE97vhgPb7CYj2EIGs9OPFtPZpndT1eN3I94HaJPRyvjD3xiYA9ZWlmPVe6Tj0elko9dutcPXJlZz0VEmI9CVJcPWs2Yz3nn189QzN2PQ6FhT0lZ4U9jRqFPSUBgT0hqoA9srSJPZXUkz1YQ449UBKGPTHjhz1EIIk9sNGFPVTwhj3fFHw9Dyt0PbmQdj1dfHg9yBiGPfNzfT3VF3g9AIaOPd6plT15fJo9aO+ZPRQxjj0wH4w9fcqKPV3+hz2Tn5A9QVedPTkVnD0iJYs9Uet8Paahfz0jqoY9vXiFPeFciT25EY09qq6RPf4hlz27S5U9IHSUPX1+kj3UYow9V3mJPcG3jD2tRZ09RpmkPcGnoz0T1po9OXCLPUWnij3diI09zOKQPYFxiz0r9I090YyUPe/clz1NFJs9AiCQPQ0ukD335ZM9SrOMPZSwkD1rh5s9GfmMPStGjD1um5c9iVaPPbdljT36OIk9hgeOPVBxlz1bfqs93kSpPQrmoT0X2ZQ9FXmnPRGvqz3rb6E9Cu2bPd1vpT1eQrw9JyG5PU6ioj3kLKo9xnyuPZCTsD3hcqk9Tw2aPYrrlD18B4s9mW6KPcTEhz0bJYI9CNCBPUPwgD3ge4o9EuOMPbQqkD1Sx5I9GYKVPd3AmD0PPas9ToGnPUqRpD0W/Kc9n8uqPX52pj1jm509J1WbPWXemD3yf489x4yNPQh1mT2A0qE9ML+nPTl2qD02bqc9WwqoPckHqD30o609GguxPU/Wuj0/b749m3ayPZuSoz1f+6g9gXWuPXAZsD1bqKU9BvyRPTp2kT0BTZE9bzeXPXeHmT0Q66Y9y5ulPdkMrj3YmLc9faW1PXJqqT1vpaU9alWkPYnnkj1+2YE9b/2CPcAojD1ZjJY9fyicPRUJnj0Ab4g93/+APWhMbj2FrHs9E0KLPfo0ij3kaYg9Y6uJPTs+hz1gVIs9+mSWPQQ+lz2yRZk9GsqPPUpLgT0SVoM9Oit/PTMNej2QOXg9KQ6BPRmBhT2Uan891tSPPa6AkD29g4490HOLPdRcfj3FjYc9uMKKPSY9fj3iXH49rV99PUc6gD1ciHo9yghnPZPnXz1RQ2E92WNsPdbOfD19Vo498lGRPZZkjz3OTpA9fVKVPX7Slj0n/I49KyiOPVSWij3GTok9ht+GPX3OfD2gj4c9xkt7PXHAcz1i/3U9CYiBPX0Vfz3PN4g96kuOPemYkj1PypI9byyfPaF5qj3QJqE9L2ycPVXGkj19Mo09xsyWPVXFpD2oXZc9xsiOPeKvgz25HoM9YauBPeEOfD2BKXk9DRuDPWIChz07goc9MEmIPafchT1tGYk9/aKGPfPyiT2iHYw9E7uHPYxZoT0ULp89q8+OPeOcjD2MHI495aOGPVIfgj1O13k9Oix0PftiZj26lmA9wWBWPfJKdj0T4oM9s26BPRWafz0ik3o9CJBnPZCvPD1AYiQ9BWMhPQIrID1LvRo9lYocPc8yND0j5Dk9AcwqPbPyHT3MqRc9jkUSPXHRCT0CihU9IuYaPYG0Fj2OSxo9aEkMPbvmCT1cUhE9snMPPXHaDj02uxY9/JguPWd8ST2Vsx49tGnmPIgl2jw1zN08hJLaPEbvuDwhvc48JnzSPHnlyjyJOcU8MZTJPDZyvjyWmJg8+W6WPG91oTyUVKo89/WiPPvGnDya7J08qWmePM4SnDw06JE81l6qPKaluzyqHMI8uDDOPMkI0jxpgdc8t27bPLY/1jxZheQ8aSngPEdq2jzm4NM8dpnTPOGrzTxfK948wjb9PM98AT2mGt08VKDePDs45jzUeMk86tq3PDxMuDwfaMk8nZ7SPDt90jyn7Ng8UKfsPM+18Tw8P/w8Wu/2PC2v0zxLsck8CSHWPAiJ1zzx8M48tXXXPFPM1TyRHc88iRfTPG1v0jyuGsg8/LjDPBpixDyCBas8/yeRPItBkDydtJo80cilPItiuDzPiMw8dYS5PEHmtjxl4rY882O2PI5Zyzw0HN08dp7wPO4G9jzDHv48UwbwPCMV/jzVofI8PQrfPEiM4TzFvus8FZrqPN3N/Dzxaww9xR3/PEXu+DyLfdo8MpeuPC9zvDxq7Rs9pisqPX9ZPj15/Go9qUgKPXWWczyU6bU8ZQlJPaa8hj2vuA4+i9U/Prr7Rj5O4Dc+zMAxPiIdKT4l+Sk+stkoPppMKz6LWDg+I7stPtw9Lj6DLCs+A1kfPjCsKj4RrCM+y+EoPvAXLD6kSjs+K2YwPqN2Ij51My0+xcApPuwlJD6QUiE+i+8bPltZGT6VzyE+ohskPgsFKz5jjDE+UZwjPjWmKj5EDDE+CQIxPumNMT4BbzM+t90pPs6+ND7kezg+G8Y8PqbkNT5sfQY+Il60PT68pT1PlNQ9xvT/PaEzsz6q6Qc/iUt3PkOUsj2MoLk9+zfbPWhPCD6CQBU+wMwvPv5+Oz6sKTA+xdEqPs8eOD7wWj8+9YEvPmgELD5JMiw+pRMmPnCXBj6Ij7o9zp7NPTbQ/D0VkgU+U1byPUHogz0/27A85veCPADWoTxB4aY8VEWwPEzlvjzm9sc8yt7LPCxx0DyoU8Q8X9m6PGKmtTyhprw89bm5PGpVzzyQwds8RKDdPKTB4DxjZNo8vU3RPAWbxzyj1sQ8JKrKPHPt5TyK4Ps8DqQAPYkgCT02WBU9HfYYPatcGz1mmAE9+dLgPPaRAT2+pAk9J3UIPR+7AD3qVP48zLQEPUt2CD0PCQ09VJIJPXgKDD2PUhY9BrgmPXHnKD3WPSU9aX8fPWfsDz3b2vk8K2n1PMYG+TzkjwE9sb4RPdo3IT2ykSA9A+0hPVp0IT0PoCM9h9wSPV/6CD3nyBU9IVkZPRVPFz0YhBI9b74NPW3qBj31wxo9Z9siPc60Hz1OxyM9tTcePQy3Fz1S/y49Kd8yPbvPMj0OUTw92b86PaOhOD2WWjs9/i44PemsHz1E3Bg9l7gbPU0VJT1eAio9GyQzPZYFNj0f4DE9sfEoPSMPOD0GcUg93hVLPYElOz3EHTI9rOY2PWb9ND2ydiY9cf0hPTwMHj231SM9KospPVZVLT2fLi89U3s4PY6dQD3dpzo91MMlPZVuGT2E4SE9g0slPe4OJT1GSyg9LzkiPd1BGD1nLhk9OeUXPWRFHD3AUzU9Ah41Pfx2GT28ARc9HZggPbCKIz3mChc9LqobPaCpKj2OzDw9nsMuPcywID1pcBQ9P2IQPY0gLj0PyUI9hRpFPY5vSD2jAE4931QzPS8LGj0t6RA9MV4RPf7dET3x3CM9iEUqPch4LT22hjk9rYw8PXe1Nz2zzjA9n6YmPanYGz1PWyA9qzUxPbhXNT2WZio91lAiPe+uIj0jciE9SCAqPXTiLD104iw9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwWXhz3RuYY9kIiAPZ9Ndz0jUns9T+d6PdpXez1hCIU9yAiCPRz1fT3o13k9HKhyPVXtdD1AjHU9/TqBPZsJiT09ZIk9hl9yPSNNhD1LSoY9fgWLPV6LkD2Zx489exF/PQKDez3N9Hg9spVzPbPfaD2JO2g9XSxqPejnZz1cLGg9fARvPXT3ij1nzJE9GC+KPTHshz3WFI49MoiSPTBYiD0NEnw9FQ2DPWjQgT34LXg9cjVyPQVIXD312lQ99xpJPYbDRz0PXV49qdJrPa71fD1sAWI9A1NiPfUFaD0snoE9hT6EPSibjj2MrZE9f4SAPQJ9dD1bclM94mNRPfDoaj2s/nA94ppdPTbMUj1js3w9ThGCPR7xiT0A7pI92m+IPeNpeD3S4XU98wx7PYBjhj0JbIE9pUJ0PcBOhD055JU93YqVPVzAiz0hrYI92dOBPZOKgD2hIoc9gxeMPTEDmD2014w9ib6CPe/iiz2CmaM96/yhPS5fmj2lBZM9evKRPdzAlj3oq5g96/ycPQnJoT1gro497y+EPYsohj0bbI09taiLPZjyiT3zYYc9l4GKPfpgmD1jwJ49hNqaPTBtkT1MjIM9swqEPRJuiD3uI4w9HxqXPWuOoz2F/5g9vo+PPWfJiD1kiIw9D36RPZ+Wiz35LJE99ZOPPe+mlT1k3oo9NYGDPdgWbz3HFm89sceDPTwOiD2LGIA9VTKFPf4hhT2PpIQ9Mc6OPX/Wkj2Pb4w97WySPU8jmj0kd5w9UHGVPeqChD0PyII9dSl4PR/hgD0MvoU9gOOKPbR6jj27t5A9/UWWPcqUmj1Xqpw9CjeUPZ6blj3VvpM9f1KOPVwPhj2FaIs9W1OQPbH0hD1g7oI9h6NxPc9kaz3r1n89N9p7PRyQdT3ienA9iVR4PZuqjz0rjpo9TKmePe/joT0FHps91I6XPVUgnD3U0qs9JeKUPZk1lz0QLpg9mauaPXaloD12sJs9xleyPZS1tT2LkLM9tKmtPUMSoT15I6U9xUK4PRTGwT230b89BPS0PRo3pT36Fo89+KCXPXhpoT1fNKE9S/OhPU6Wmj15/pU9gySXPSobmD2WF5Y9n0+fPdVtoz3gEJ49yhSiPdy3pj2yuqY9TfGiPWREkj3o9pM97eOaPSXpkz36pZE9q2aQPY9Skz1OUI49TiaAPSE4gD0xUnw98kuIPcLdiD04T4E9WuiEPadLhT1qFYo9XkujPYowpj1PPIg90a57PTEVbz06PVs9T7ZmPUX9jz3a+4Q9Lx6HPX6Ehz27KpE9b3CGPWVUhT2iY4o9oHiCPWPYez1qsHc9CdJ7PWFugj1I13E9IMpgPcZ1Yz2Py1892tdjPQMvYz1DJl89ItptPaJ/eT2zT4g9Ks2KPVzZiD2TpYM9qNiPPac5lz1zHZM9JIaTPWBGiz0Xs4U9mCOAPcQ2fT24+XM98ktyPeW4eD0xX389Q/+DPXmdgz3OAIQ9fUSGPZVgiz1HTZI92WKSPZglkz3NaJA9EKaNPVajiT3ZSYo9kM6JPcGMkT2Kc5k9UyuQPUP/jT1VKo09dAaNPeAPhz0Sa4093BiNPb84jD1IWZA9aJ+MPUZmjj0lvYk9cgeGPaEViD2ux4I9ZuV6PbD9eD0V6Xo9i0d+PRtmhD0ppok9NE+KPdW+gD3P6o097SODPcy+cD0Ga1w98A9cPWWVaD0P5Hk96bh9PbtWeT3KHGg9e5xePQaONz2dDCY9MJMdPbW7Jz2mRi49KR8uPYVmKz0M4DA997o0PQFNJj17Fhs91YoZPX8DCz30Kg89VmATPcRvGz2ncxY9pd4TPetiEj135R899tM4PZNhLz1gfxs9VtYXPR6sEj00sAE9Un3xPLpbwjyeBL08iLa9PHj5tDx5vLI8DBW/PIcvvzyeAb48Rkq+POaQujyqnq482s2iPMC8njwiiLA8b6C0PM80rDwKQqI8zyeiPMaknzzdsJY8KMGYPGV+tjxZBsA8Xae0PBNWujxJ5cw8klnaPDVt9Dw3OeI8eHPgPHs61DzSf+w8MEv7PJ2v8DyQOMs8ZQLuPB0GAT3QtgA9GJD/PNGB+TzQsPI8orbePGr01Tyb/9w829DiPMcS7jwwrfA8VQ7sPAwT/zymtQM95XEFPURu8TxmhdE84XHTPC/gzTyuws48QKbVPGE92zxcWfQ8GtUAPfcI6Tw5Cdg8Y8G+PMeowTxeLLk8zhafPHBIoTwJWKM8kzKxPPeCuDykPLE8mEqxPASpsjwRdbA8bzGtPCOjyDx+8uM8bw/gPEDt4TxomuQ8s3zmPIbw1jzEe988wZLwPDY5/TwQnfw89737PHWj/zytEP48k4/9PGcu6Dx5cN887TXDPIoHuTxICfA8OTwsPXKSVD0fLmg9n5moPe3ABD4Atgw+dDoIPt57OD5ZqTg+Kuo+PmE9RT6o4jc+XfEkPpGCHT5AliM+S58wPnH9HD6a4C0+2EQ2PhunJD5p4CY+6jAvPmzwLj75DB0+mNorPumAMT4wpzY+1+80PlzvLj5ujiY+pR0lPhKfGT7sxRk+eVMgPgH7JT5vlRU+WJMaPl6CIj6N2SU+hHMqPnL8Ij7V/Ag+F+wPPo+jGj5tHiM+2b0zPt3bLD76hiQ+JWMsPrWJLD6mehg+TO6xPUSj/zwQ6Ko8bbMOPUsmFT2Bgc49fjorPvLvvT1kstE8Nx34PMHCaz0tXKM9I3HIPXgEJD5S9ZA+WguJPgA+Xz6JVlM+hGooPho+Ij57P9c9oujFPexdsj1D7kQ9vcaePBgkojyQ/r48nZ3LPHWJwjwS1bE8BTelPOePnzwu0p88tZ+oPE75tzxJ8r48ovXCPF1ExTwA+8g8QB3EPOfYyzwDw9I8VvzKPHE0yDzVEtc81NzlPATE3jz/F9A8KArGPM0ryDwLxtA8LUzRPPUi0zxoJeM8PaPvPLy3/DxU0Bg9PJIqPfdHKj30ox89NiACPfrv4TyHjPo89MgDPWm3+DxhJOI8tPvqPD5r+Dym2hE9n3AkPfvpFz0ePxQ9NmcdPW5zHj2RNx09afUePbcwFT0lLgA9Uk38PC7fBD0C3RA944IdPfbhHT2l5BI9ukMVPZGLIz1w4yQ92IUiPVCCFz1PvhE9Q+gaPWzVFT0rVBc9RgAcPZkrHT220xc9eKIPPYeQFD1tEyE9UbwsPcRaMj1yvT89D7k+PeaJQD0MJDQ9JrAyPQ7yJT2IRCw9Zi80PROdKT0ZAyM9kXMjPQKkGj2agiI9PvAqPTCeLj1bgzc9YPI3PZtGKz27ti89MSEjPWFTHj3H+Bw9j74cPQMYLz0npUY9pgkvPROGGD3Mgwc9xTECPaoLDT23rxU9rJwwPW3mRT1XjzQ9x0grPRNqHz0UHhI9BwYLPYOLCj0SChY9/6IgPW+MJj01Gi89iAIzPaqRNj1FOy89QgcsPUUFIj3xRB496UQSPZTmCz0jnA89ca8PPY5+Jz1M9ic9VM46PaBgQT1CqzM9ZygvPdbwIj0YTik9pUY2PdUxOT1deDo9kfo6PUbuLj3aFSI9fZcSPdLvCz2hQwo9fzobPdHoKj1MTSs9MFlBPb1PTz16Jkw94yQsPck/Fz01wxg96S8sPUsaOT0Nrzk9d3UxPa8BKT1SHBQ9HfYGPbcrAz0A/QM9AP0DPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/3gp49TqyoPVsdqz2CnKc9slaBPfRFbj1IOoY9G/+YPVrOkz1ePoo9aPuAPakbej1iPXQ9TDxkPS8Eaz1IO3I9k8KEPdN4fT2KXIQ9C+qHPd3MlD2uwZc9YbeVPXEEgz0zLXk9g4dxPZx0Yj1timI9aKZsPbP3aT2gH289GPZ8PUtqkD1ysZI9+52PPepcgj1jcoA9/mmDPVcMij36cIo9aeCIPVuzgD3KYGk92EZZPWq2RT28zEQ9x7NGPVSQUD1oZVU9Lw5UPRSidj3FlHk97EOBPTsygj0cdnk99r5sPWqOdT2/MH89DOCKPVUZeD2lGGQ9+NJ0PcE9fz0RTHQ9ZpdgPTrMaD3ug4Q9rJOLPQHwfT06fHw99lOEPZ5qiD2a74U9CdiBPTysgT2/eXQ9GAdgPQ8Igz36FqI9EKCoPRCqmz1FB4w9snePPfQkjj2Nmow94SqIPT3ciD3j4JI9wBiPPcGRlz0+OZ09j8eNPcuUkj1IWZE9mTeMPV7liD0mVYc9lfOPPXtKjz0g/5M9Q1KXPQl5kD1zGoo9jJWJPVeiiz247pE9m5qVPfYYlT2sLK894lOvPepipT2lwYU93nd6PTJQkD0Heo09enyHPVR7iz2Ozp09+UefPU3EkT0ioIs9G+SWPR/wmz2kC6A9UNObPRYHlT3bI3o9gCJdPRm5Zz20Vn891cCAPT3HgT2AG4w9DMiMPYVRij0N5IQ9H1+LPZGukD0qD5Q9XUOTPeDskj3XS5A9AjeFPYSsYD3t61k91X5lPSB3bT1cbnw9CzqAPYwygj3Ig4c9GBaBPY5+fD0e03I9XdR4Pb/3kz2XupY9sqiHPeYNgz15NoU90DaSPWIPjD1azI094ViMPU4ojD1T24o9aNOKPZkKgD31UYE9KruCPQLPhj0vCIw9somMPYv2oD0ebJ09a/yTPcGejz2ds5c9OXaiPWdfoT29uqI9DMOoPbCrpD14eKM9m06mPWNxnj2yn5w97VahPSt3nz1J5ZQ94POjPShppD1wXJg9mauRPcF9jD1vPJI94JqaPdm5mT3YNpc9coOVPZAukT2Cr5g962GuPRspqT3aIKs9mbWmPRT8nz13m589Z+mXPU7Unj3myqM9E7SpPT2nqz3m26Y9zNuSPWzojT24boE9CyN6PYm2dD0mEoM9jiuBPTUChD17kog9JKaQPcJSkz20cYc9jlKFPegDhz1wEIM9yhKLPWFNlD3FXIk9KLByPTr3Zj0QnF89CN5lPRj+hj2U6Ik9Cp2LPTRjiz27NI09q3yQPSsofz3Qb3s9XQKAPSa0gD1uBII9tZuKPcDHjT3QeHQ9MU1cPfqXaT3xnHw93O94PYomcz3v+HI9BUJ0Pet4gD35nYY95DuPPXeEhj1gvoU9t2aCPSUqiz1P9o89lwOIPWLagj1KlIA9IM5+PRDOcj3kJXE9c7qCPdV8iD0x/IQ9E9qGPYNxiT0/PYw9Tw6HPQljhj0yKIM9ZEaHPbsKjj2wDpA9fs+BPd/hhj131pQ9L2KZPdg7kz06HZE9aSGSPT7vkz1g1aI95l6TPTkMjz0G6I49KESOPXw/gT0PaJU9tH2lPR7/jT2x6IQ97eODPSb8gT3hmYI9hcCFPVTmhj2PFYU9OmqCPcaYdD3DYXo9+uOBPXhUjT3TVY493DKFPWvCdz2UDF49EGZSPYpsXz1JYW89bjyAPWhJhT0IPn09JFpJPf7zJD3KuBA9QPQYPfVNKj2Dmiw98fI5PWfUST1IsEw9iasvPb3rDj0WagY9r7YKPdpcDD2IDyI9ZSwePdsTHD08whA91CYYPVOgHT0VniU9OvEiPStUHT0Uwhk9v64UPU4yEz3E/eg8alnXPDI51TzLm8M8cYW2PDWDtDx8d7M8RDnAPDf7sDyK+qU8oNqoPHV/pzyqVp08XVSbPBt1oDwui5w8VwikPMF2pjxGO6c8n+GoPP4woTzhxac88HO4PB6Kuzzvlrw8L1S5PHSm0zxPt/c8NJrzPFtw8Ty/OO88HYXrPEkp7TzCBts8FJDlPAAO5zx33N08snvgPEgLAD35A/w8kVQDPZygAz0aF/08F0j0PNCWAD0xzvc8xq/bPIfm3TwvrPE8yPv4PAxJ7jyl3uI8Pu3fPLh43Tw8tNM8TxPPPC/a1zwgZck8agvfPBEI2zzsc8k8K6DNPBlh+TyLmwQ9te3dPOXP2Dw8isU8DBirPHhlqjznPMc8WTy+PBPbvjzH67M8ZG6kPKLZqDx3OMc8EQC6POwJujxZTcI8WFvZPMZe5Dy3qd08JyHtPLJ95jyGVeA8HWz1PFMhCD1xHPg81QbtPNSg7DzezPU8F+vyPCsj8jyr6to8nufLPHwryzzM/sU8hwPBPGwk0jwmsxI9SbBdPWtdsT1MrEU+gUxoPqHrPD4aCi0+JzciPsC6Ij7MAyQ+26ogPmMwKT4pkCo+r+wmPvHmIT64GjE+pEkzPojqKT6feSg+HTcoPvooKj5ZoyY+aywbPqffLj6g/jE+v2E4Pqu6Mz6vNSg+HG89PvOxKT5+VBo+0hgePkLxJT6bryA+MNonPrpGKT4mCCo+fpwsProqLD5oViM+6kQUPux3Cj7KHhI+LK0fPobSOz6Z/i0+HHwTPjteHj6hJu496LmKPQivcTyX9W08ME1aPNorYDxy8W88w0Z0PDYdgDzPxHk8sKaHPANDjTztVqY8wbPUPDH62zxvnrI9++Y4Pr7hFD59jxQ+OfbxPU4Boj1jDYk9lrviPOnpxjxSqck86NXAPBUSvzy45bM83nmxPLCQrTwJoKo8jWerPCCiqTy4E6U8+gGePEPrqTx0Y6k8tOikPFN/tTx3CcU8VRTMPMze3Dwf09484ZXtPNpkAT1no+E8QgHbPL8M1zxTTdE8o9zUPGf93Txwado8xoHpPHzh9TzpPfk8byQAPWU7CD0JvAs9yRoVPdW6Gz0XexI9xXQSPbP2AD37nds8x87TPJKn4jzRaus8BqHpPFzX7jxHzvs8OOUDPdKlCT0cVAU9AFoBPZKsAz1M+hQ94sYdPSmWEz0VtwY9encBPRw5Dz3dQyA9NSkkPUR3ID0D2Rs92AATPTaVGT0eOBU9uL8cPX+zHD078hI9mSkQPT6+Gj1YzSA9rdYYPeJqFz30Jx49jG4mPXyoID3dZB09PR4mPeo7MD2BHjI9cKssPcGKLT1kTyk9sBkmPQ3oIz1DzR09mYoWPQYMHj1w7SQ97zQyPWPjLj0Ppxo9K+kOPfNaCz02yBA96/EiPavFKj3Mois94scfPaeJEz1zMRw9c8gvPa2xNz2riTk9z65EPUrrQD1S9yI9bfQWPV1rFj1cxBI9F7MMPT4gET1DNhs9G7sUPbKMDj0TDQ09Lo8RPQgMFD02zR89r/s1PbslPz33yEM9Ypc/PVLrNz2E1jI9T14bPZOREz3H7Rg9/ZYjPabgGT32exc9qrAdPerwHj2uTi89mmMwPeB/MT2ibi09Cpo5PdSRPz2/JjY9CvQpPdgeKj3oZic9DPonPYycJz0j0B89sHsiPX3NHD0Pkhg9X2YiPZWOJD3vICQ9wMYpPWbUKj3pbjE90bYxPdU0MD3FHSA9+eoWPclkIT1E6RU94U4VPfSCGD3JaCU9X98XPaqYBz3wkP08QxUFPUKTCD0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Yo+XPYL9kj1orIA9zyRhPQ3gXD3nPWY9wQ2LPU8/kT3WMHQ95+BpPeRVaz2sq3U9Qsh8PZ+ZhD2oOoE9DiaJPVs2hT1sK249tJKAPbhzlD26+ow9ziKBPbiOeD1Z63o9jrF6PZ80cT2Aj3c9EHZsPWeabz2a32899KqCPYASiD2kOHw9xt11Pe/zdz24v4A91GqVPaC+nj0ZWJY94vOFPZvufz262XM9m4xlPZZmUT3r80o9FsdSPandWj1PjlQ9XYlLPViwUD2bxnk9EdyLPRDfmD2wb409UKtgPe/3WD0i03k9gxt4PWHPhT1YgYA9+kF0Pd4Obz1joGE98PxlPZIgez3Inog9jOuAPWDHaT11vGk9ZRF6PUY7mT08+pc9tF6TPa4miz36Wo092aqHPeQVcT3iE3w9xjmVPTrEkT1ono89D1+TPV3emD3UEpM9YTGJPaO+gz1Gto09UemNPRxFkD2wM5k9Ou6WPXfQmz2vTKI9fgKhPW35mT3xvJE9mOKUPTl3lT0Ry5Y9wHaaPYzxlj2L4oc9lESIPRwPlD0ELqM9BKWoPRdKoT359JA9dqWNPSa6gj1ZToU9tESJPYQqkz0jB5s92OqkPWudmD2ngI099K2JPVBTiz25fYc9OkGIPaUUij3484Y9szKIPa1Jij0QKpM9NRaRPUzFjT2ibJA9qz6TPbufkT1HiYw9oqqOPRWrkD3VfJY9coyWPbxplT2Y1Yo9WUN9PW9mZj2uLl49xTdnPV1beT2i+Xg9oKGGPZgqhD1aF3s9RB5+PWeLfT2GKoA9En+FPSn+iz1Sj4Q9rVqAPV9ChD0XrZQ9gRSfPRIOoD3nxZ09GxOmPdlXpT2xH5U9EPWWPRCRnD3mcJQ9goiEPcz0ez183Is9wEuOPdSqiz0KqYo9+HiLPe04ij20xo09hcKKPZCQkj2Ud5M9ZXaRPUvfiT3RI5A93WSZPYkjlz2B5JM97b2bPSuElD0pHog90viRPWLamz3Mn549x5aSPXbhhz1Ccns90xaCPcBRiT0Li4w9X3GQPZVJmj0ZUJ897qGoPSjirT1yU6A9czejPYfXrT2PEqY9ETCoPZxJqz1C1qg9hlWlPWHxqD1Rtac9O52uPQD0rD1M0po9zs+BPVLTgD1b5YY9nviJPdqujD1hE5U9B1eYPUKwmz1NUJY9mcuLPZ+NiD3fZoQ9jP91PR+CaT0LjoM9CTqNPb7khD0WInM9U2JjPcYGWT2Sr189EmFxPc3tdj18HIk98qCLPfaYkj3fTYw9qKF6PfkQcT19To491kGfPYkFmT1JapI94MiKPblvgD1O4l09y0taPV3pbT14IIw9trCSPfNdkz1kBY09YW2HPZ8ZiT0q2I09yFSJPe2Cfj1jF2w9GaBvPUVkcz3Dz3s9V5mBPaZIiT3rQog9D3eGPaSNfz0cAHo9wluAPV/khj2+yoU9ob50PSbCeD2QnH49UIqCPfuekT2a3489mbSJPbdMhz0qBZQ90tSbPaHxqT0zfZ49fkmSPcU+iT3CGYk9X22KPdLhhz3cUok9JpKGPTUVez2jBW8989FsPScuhj2Qso49j9+OPaiEgz1UOX89OlZ8PQ5deT1frH09Zb2BPT5chD3+6Yw90tePPcEhiz0PaIU9VkyEPfjYaj1bL1I9ACNRPZjBaD2c3lw92/5fPalxbD0ZPXY9jUt5PbOWhD3LIn899z5hPSr6RT2t3i49+ZoqPQ18ID1p1yw9R/QyPSCtND2VKDI92QIvPRcOHT25qBc9WHMOPTDHCD2BsAI9rc4BPZj2Bz0OkRc9CawbPXsBHD32Sik9lN4sPY7IOT1hbTk9y9scPcnfBD0P6QQ92isFPXoT/DxP5NU8aVO6PN/VrzyElaA8fDChPCDssDwFzrE8kjSfPJ0A0jz6E8U8gqGgPO6Tmzw/Oag8CLuoPIlHqjyX8Kw87TyrPH13nzzuhag884KpPPLftzw5qdA8kqzEPDrq1jwNr+U8PC32PPIU8TzoPuw8zinjPD9I8Dw/2eo8vQTxPGql3TySQd889bblPDRp/zzyOQU902cBPeu1AD1yQwE95Q8GPSXxCj1dEQE9TcYAPYbj7zzoEOU8efzLPLU50jx+N9E8QDrXPD2j1TzHedc8cd/cPGy0zjwEktk8qhjoPOLa5jx5gOE841HWPNu05DxONfw8wPDtPL/IzjxMc8g8F1G8PNNHujxl8b08md/BPKh4wDxNhbk8i7ijPDjprTwIVrU8Rui0PBDFvDxb+MU8KV7ZPI1j4DxeIuI81IXXPLyh1jwsEt08T6XrPH5u9zwPmfA8EGLtPK5L6TxXB/A8sZLwPMhj9zwSHvA8ulnGPMJeyjx3v9c8wdbhPO0dxTwcy908GresPQTaLz6cwj0+SUU8PtAyMj7z/DA+Z/ExPiadJz4/2Cg+Zw0wPqrDIj4IlSI++ewUPqkzFz74dSk+Ogo2PuJrID7pDDU+OnM9PvmAKT4g1ys+1U8gPkbhGz5GQSU+NYEgPr4bKj59myw+9L4pPvfjJj43NB0+Uw0KPh9XCT7RYg0+hlEUPoPwLD7t8Dw+jeIgPs3BFD6w/gs+ixwIPt83DT7MYQs+AP4PPgG2FD4xJhg+M6sQPgCPDD6F08k9isYoPXEb7TxuzZY8BjmoPF3Myzyjj9U8ONHjPIgV7DxDSto8IsKhPBtViDwEbZY8gBa7PM21Vz2d8q893QBiPattHT3S6os8sLdvPOqzizx5h6Y85Z6yPOwvvTysPL48wOuwPD+0sjysx8A8Kh7HPGlQyDzNKtI88tjJPB2UxTyeFM48gXrlPJV32TyN8L08+me2PITqtzz6s8E83DrePHkz4jx+Utg8KaXWPO/I5Dywoe48/4zhPJjZ7jwiEfE8o4TrPCNQ6zzrsPA8r4b5PIJ07zwd1vU8BYoCPcdxCD1B1w09c90MPRdsED3UhQs9k44BPXwd+jxKod88XA7rPMTb+Dy+xgM9ZXULPeBaFT2hXh492a0VPb8aAT0EB/Q8kJ70POcx/DxmXgM9g9IIPSr/Fz10vxY9lXcOPWYgBj2wigo9JG8mPalvOT1pLCM9HIsPPfaLBD2JJ/Q8qbjxPAvy/zyuVws9ZGcRPYzGEz3aKg89HfENPUMQFD09Kis979YzPSJ1LD12ZSA94oYdPcu7Hz3BFhs9tlkVPRObFj1+hho9yKQZPU0zGz1GYhY9FzITPZmuFT3djBw9fHAlPQ1DKD0+diU9OOkcPTxAJj1RUy092nEqPRyaHz0mGhQ987kMPcBjEz3mbB8923EoPaUBOD2UgUA9flBUPWnoQT2QcyU9wu4WPR4XFj2OiRY9CMUaPVaVCj2PtwE9D5H0PNiAFT3JWyY9v6E8PSxTMz2oehs9xocgPVGrOj2nvEU9tBQwPeqKGj2gcRg9BzgcPTalKT0oDy899UkuPTl+HD2//Bw9Lc0pPeStMD3e9C89s4k0PZxNKD0mdCI9tu8mPUyCLD1Wti09Nbo8Pfl+Pj2LuDA9voI5PbokOD2LbC09ZigbPdJwGz2Jehc9V3gbPTF0JT2NTyg9fPArPf8tLz3WHyU9Q9oxPUm4MT1s/C09E7QTPfVOAz0oUAU9kEwCPVsy/jzobQI90dEiPd5EHj1SBw49VjoFPbnqAj0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH84jVc99NlcPYTlaz0IM209+xBkPfSLZj2e92w9+YSDPRyigD3mPlo95s9wPSl2dj0YeW4912tOPUyQYz1DBoo9C55MPfyHVz2WanE9FJx0PQbLgj2Mkos9UGyDPU4WeD1NwH895DGFPdp8gj14IIk9yNKBPUw/hz3hWZE96cmkPZ3FkT28fIU9KX2CPVnZcT2YTm89wkZ1PQlMdj0e2Fs9hq1ePZ6Bdj2r+3M9XhFkPX3DWz2dqms9kj12PeFkcj04XXM986dpPUkXWj0CzWM9rPWDPTxvcz2utmY9CoRPPeheUD2TIGs9bStsPTMYgz3Df4I9/mdzPYeVZj1zwII9kfKHPelfbz0hGHY9hMJyPfvGbj3/fXw99meGPb3jfD0eY4A9FQqGPXL3jz1voZI9pYubPdEXnD3q7Zc9aGuPPeLmjT0/AYs9e4yPPQqzjz3Wdps9lOKqPTbtnj3v8Y49V3KIPezIhz2z0YM9X3yFPa9ljz3Dy4M9omh3PU8Rhj1iCJI9Rh+dPZghlj32g489sKuUPaxHlD1ZH4Y9YJl+Pbfxgj3PgI095iiTPX+alD2/RKI90+ypPWYUmD1LwpI9CkqMPQ1DiD0DX309ec+BPWL5gj2iMn498ytqPR4Mcz1lhYE9+7CFPaoFlD02ep09wqWcPcSnnD2Ia589E2yePYQdkz0jVo4960aYPWuKlT3y0Ig9uEh2PfuXYz1s1nE9t6l0PbRocD21AIQ9mU6EPSpVfD3KcXA9ebBkPTLGeT1C44Y919WCPX18jz2Wbo49JwSKPcDyjj3dYZg9nRqgPTyJlz0Dpo49olCDPS3afD2FF3g906p/PX0hfT3OoYI9IP+GPR1OiD20cZQ93KexPauasD1VxJ89PRiTPUk3hj0fMX89UiWIPYGfmz1cc5M90AKNPc0WhT2VHIQ9lM6HPUWohT2zAoM9ixOBPYdMhT3RioQ9xMmFPdm8dz1/KWQ9EAJkPfClbT1CUYM9iYKQPVImlz1wp4099S2OPZxAmz1a/pU98xOYPfSylT10Apk9JbyXPbrKoT3u7qE9peigPXUtpD3avKI9xjmmPU2upz3bHp495z+hPaZwoD3bx5A9tMuBPRiAbz0EUWs9PhWCPRMAjz189pM9C/2YPYoJnT3uHpg9D+qGPdbQej1evng922NYPcPMVT03kFc9kcxgPQ/tcT0K6nc9r8ptPcd2Uj3y9FA9bWVuPQPRhz2i8Y09lEyWPYrplD0VJpo9zGScPRxHkT1psI09xqaKPWr5jT3JBIc9NZN3PVCqbT1i0mw9JRtwPdPUdD2kCYg9H7igPThKlj3vZY09QWyJPbi3hT1LuoU9yyl3PVmbbD2slGw952CCPWo7iT2Kr4o9lu6VPRK3lj2kX5U9PuqOPfaHhz3Aj3M9IJqAPcX6ij3tgos9xfuMPXZJkz3mRIs93NaFPauOhD2pvIQ90Zt/Pf1CgT0nR4g9TIahPcZ8nT34v5g95YeIPXNBgz3wy4Q9WnqMPcyZeD1NKm49jxpqPb/ecz2PG2s9M211PYAkhj0ljog9RXeEPaBegT3wRm89dvJwPfvTfz3RN4E9u9V+PbgQfj1TCYk9rNyRPfV2jz3SG5E9lq+EPWUidj1/VWA9CKRXPQRHVD285mI9Xi5sPaLIaj3nJHw9EwyQPW2GjT3NuH490gxuPTWuXT3frzc9GDklPdF2Kj0EUCs9yKInPVtMJT1gqyA9smQiPR+DIT3Q/RI9kg8TPTxuDz0muw091tAVPcyYFj2W6BI9/FsbPSBTIT2peC89YHg6PZKHOj3dzzM9MnAcPYIh/jzIJPY8x+3hPARP2jxuIb08tQSuPGKXqjwej648xSOwPKuqqjz/YbU85/KuPGqnozzEep08p8mePNrQnzzYBqQ8W2CzPGqwyzw60sA8D/SqPAnXpTzizJs8w72nPClzqzyka7I8FCvGPAOG1TzXHQE90u8FPWOD6TwiMs88de/zPOmEAD240AY9QwkDPRAd9jz8udw8JKTxPJYi8jz+kPM8skD5PGNk+zx0JAc9oOX9PGXr+DyqNfg8EaP0PFH55jwtC8s8TFLGPJOryzwSSNk8mxjdPPss7zzjOs08XqPDPIzr0jwu1OA89MHkPIxP5jxjIec8IPXiPEf01zwV4MY87xPNPHspyzylKMc8/dTQPDBWyTyAisQ8PkvEPIcuxzxsRsU8urywPN85pTwwrKw8ho61POOjuDxECcw8Oi3VPBkx2jxSltU8vYfOPAilyzyXtM085InNPG9Y3zy1RPk8Nlz4PEhW8jydRPI82PfuPIhi5zx7Etg85oDJPMw+yDyBJ9o8mp7yPL5FAD2XadA8YVPqPDNUxD2UlTA+CmE6PmtNNz7D2is+EjIbPvX2Hz5RNis+mT8wPgUtLD4NAyQ+BCsiPpUiGj42RBU+MPcQPrYWHz5oji8+ImsbPmalJj6yWSY++6UkPl0SID411yI+0IkrPrV4Hz4EjRo+gu8cPhjDGT6iAhY+R40RPnMjDj7U2QM+sU8PPtntHT4dWS8+vc4dPjIaFj78VhI+9sMSPi2qFz5hZBY+BGsUPu5dHz5KHBQ+cbwOPjtuAz5IssI9i6GBPUJznDx7Hmk8hkF0PH4scDwfoXc84T2CPHzRkDzYg5w8x4uZPFDzozxIdOg8SHoyPfsq0D3NbCQ+PvQ7PrD/Kj47JXA91yS8PKNqoTy8qKU8DgW0PISxvDwdK7k8mcCvPMnPoTxpRJ485rikPGjbrTzNdas8BsanPHrHrTxobbE8yLC/PJEtzzzyO9c8+6TOPF48uzzeLLU8/L62PK4ptDwVL708EOjDPKwnxjyrIMk8tb28PAT71TxFogE9uoAMPcMOCz2ECgI9WgHsPGv7+TyMKgI9MTYCPQnLAT3rcAQ9e1AOPU9gDz22SxE9LsICPdLM+DwYtvY8AJrxPDin8jxE+QI9gV0SPULhHT1ABys9a+Y5PSC0Hj0V+w899BAQPfYAET3orw09JrYNPTooGz0nyhg9GLoOPRoMCz0ePhU9kg8ZPU9hGj04axY9PXcQPV+rDj3Pnw49JxwPPSlOCj02TxA9GHIQPYQpED3VhxM9ZnoOPceYDz1o/Bg9oBYoPQDjLT3cDCQ9scYVPY3dFj03eBE97OkPPcdrET1qRQ49YZYJPTEWCj3yRBI9j/gjPQhLKD1QThk9Kh4bPfoMIz0QgR49hdInPXehLz2s1UE91FI2PVvJKj0mSyw9tAcoPezfJD3rcRs9HRYZParpFj1DPCY9w3s6PZW9Pz3zFyQ9qjYZPX29Hz2jgBg9hTkSPamnEz1yIR89pckaPTSwCj0DixM9yxsxPSONOj2at0I9iAkzPSe4Jz0YtCA9X5MdPSRMIT1b1CE98t0WPYi4ET3LOBk9RRQjPW/9Kj2aByw9pFcrPS/9KD1heSc9dQskPX2jGz0n5ic9ehszPfMoMT11+TA9nEAxPd8fPz3juUs9vBZPPUpBVT0lfUk9DX1BPaQMJz3pqSE9ScobPRP5GD0HHR49USUgPZFBGj0WGCM9Rko9PvBrCT9zLZE+22ktPkOBHT2xgxc9vx8OPWU6Aj1DUwE9DagDPRKVFT30PRE99XUBPcLlBj0PBAo9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1iIwTxFEx49rCNkPeuKaT3aH4A94IOKPe6oeT1/JyQ9Oo9FPQGKQD3+5ko9EXtbPQQleT2pFWM9Nr5wPVNogj2Kuno9D0VOPfnCYT0GbW09BMR9PTKjgj1zKnw9AsSCPajNhj2tApM9czeWPTUAjz2r3ng9X49rPZfkZT2nHWI9p69iPWEZYD0xIVw9LKtfPf7Daj1JelY9I4tOPW6jTD0S7WE9IJVqPWZCcD2kOIw9H3qMPc2Vij2idYc9RQGAPUE2cj1nHmA97BpmPbXXcj2anoA94+yMPTZzij1p54Y93T+EPQYbiD0l3JM9S9yXPcojlj2xE5o9veGdPY6roj2oXqc9/wmNPf/nhT3Croo9ngGHPUsPez3UjoM9I8eFPaSOfj2Z44M9djGDPShsgT0bzH49NMaEPRbDkj3h/5Q98zaVPU8sjj3stIk944aEPTyfdz2MWYA92qyAPZ2Dgz3Ij4o9+M6RPVb/mz2rgp09cD6gPVttlz2WJog9pq6CPckYhj2mpIs9Sm+HPSmNeD0o4Xs9E393PQiQgD2peoE9FeuGPYe2lT2jMac9CcWvPYc9pz1YmqE9ajafPc2omT1IvpM9XQOGPYA8ij1FQ4o9FsF+PWJHbD1JX3M92t5vPdm6hD2+Hok9fMeNPR/cgT1SdnU96LGCPdg3gj2C/oY9+iaOPYn7gT033IU9NJOPPY0nkD0ZUYw93VuEPR/6hz3hCIw9/L+LPSkMij2y/YE9KAJxPetziT23Bos96YCOPeQ7jj1ESY09o1aQPUOejz0C0pQ9E66VPQPZjT2zOYQ9BneDPaj+iD3PSIg92/6JPdx/kD0i5pU9gumLPeXxfT1q43A9VXZrPe56bj2qH3M9WEKBPTi1iT3+A3g9cItsPf5DcT16JIY9fwqOPVuKmD2VL589NxaSPWaihj1D7YQ9A1BxPfejgT0skY09f36YPQ7bnj24RJ89vJCcPTTNoj1s6qQ9HAalPYEJpj01Q5k980eaPc1Tlj27n5A9nX90PffcYz2k5E89q9tLPaZHcj10SIg9j1B8PTjNcT09p3097S2PPUbviT0DMYA9iNFpPYzyXT3u4WQ9X9NiPR3SYD3/R209Ucx2PWHHbj0iI309zzqGPTK7hz0Vmow9fAanPTAwsz2qvqQ9kiGnPYuznz2IPHg9rJBnPQLyZj16BmU9IbVZPeMiYj3yRXU9goF7PbQAeT0KQ249uN97PQc+hD2jtYU9EjWFPYQNhj3T3oE9QRWGPaLNhT3Sxow99tyLPXBIlD2yGoo9aoyHPaRTkT2B84s9DgaLPXyVhT3wgYA9H8R5PSuwiD02Zpk9YXOXPXRumz2pPps9qF6BPahhYj0ACV892JdiPem/dT0prWg9nRZhPVuGYz2bJW49DQxxPZbPdT0TYHE9JltgPVGvYz2ftV89S2JdPROrXD1VjG49dcR5PVDvez263nU9Cj9zPYwpZj2xdmg9Lh5zPXMZfj3Qvnw99kV+PabngD3C64M99imOPf+Ilz3gApM9CB2QPdOHgT3sXnY9e8KCPWQ4dj3EM2s9VQBrPWB6Zj2SSVc9nDdfPUerZz3V4Wc9VkVkPV8RUz1qvD89hk4ePdykHD2KBTQ9oisvPa01Fj2kWhU9jUcePbIDIj10wBE9XAoSPSRbHD25Jxc9h3kWPYv5Jz0/xCc9LEIlPZPvKz338z49wd8wPS5ZGz2ZBwo9/TEGPTX1+jwWguI8UhLcPAjX6zzDsbI8ZXu3PKlTvzzwxqk821y2PKWixjzVzLw8YAawPJn+oDwlepU8lLGYPNdEkDzBSY48eYqUPEliozzYWqY8nzqkPD7uozysd7E8it+oPBb5rzz9NLY88Wm7PJ7J2TwI1eo8dfT5PH8K9DwhvOk86eX3PPKS5zyz1+o8yHruPNMn/DyROPI8k2TiPCFz7DxaLOw8KCjkPFsl7DxoD/M89Jr7PJCV5Dyf3OM8SkPXPG8yzjy0ltQ85/zRPPlWyjxTxso8pDbJPK/nzzyjtOw8hoPvPEda5jzP7N88O+3HPNJNuzyW1bw8vzzDPJAIuzxBVbY8Qla9PIpjwDxAjLw86VfOPLje3DyhX9o8qC7HPMSuszytyrA8WCS2PGUEqTzyrKk8ZvywPC54wDwm2s08n6PTPHZVyjx35s88h2HPPDkizjzFSso8usbSPL2d6jxVpfs80R38PCWb/jzJTAM9uO/uPBkm3TwUSNo8U+7BPO01wDyDvMQ8sZ+/PFJ45TzFeQo9URsBPe8a4Tyz1ks9ll7NPc41BD6xvxg+dOEmPuz4Mz7JFCU+NV4rPkfoOj6H8TI+VbMkPkSCHj6iVhg+bVQXPs6NHT5qJRs+j+MePsVrFD4eQx0+8N4kPjpbHz7R9R8+zOUcPm3kLD4Yphs+IhMGPqRIBz7LMws+WZcOPk25Gj6lehQ+7eEXPrCOGj6Enhs+VlkTPmRhFj4gChg+6FgYPqthGD479RQ+mAYQPp5DCD6DFw4+uUcMPlph6T0Bil09jyXoPERS3DzeE5Y8kWOJPM+phzwuL388/FaAPAaihDwJD4g8NSmHPPuriDyy1408f+SZPPnKvTyDVZk93sASPjkKJD6+56I9q7z3PN/32DydKbk83Ym5PGlpuTx7WKw8PMKvPBykqTz/aKQ849GcPFSenTwFhKY8ZBG9PL9PxDyP6s88AIXaPPRG2Dy6A8s8xfvCPIslszyQH6A8UrKfPKW3pDxcDac8cKO7PBjI1Dxx0Ok8SBvwPCqf5TzcxtQ8LHjPPBbi4Tw/wPI8yagAPVmzAT3jzQY9eQsGPdbTAz2upwQ97U4CPQAjBD0MRA89b+4TPfrG+DylG988H3rePLuo5Ty7hgA9G/EIPdSjCz094Bk9m5ogPQcQID2H9hI9JoolPeeNIz3W0xs9C/sWPecMGj3PlB49i/4bPRlgJz1p5is9G5wqPcpMDT1p0fM8cXr/PPAFFT1oVSA9VYclPbN6HT3nIxg9xC4bPQHcGT39GBg9GicXPa/lGj1+qxk9GUwRPYbxED0cZBA9WkYLPerbET1JHBo9a3kZPdxnHz2IOiI9lXMfPSibHT02RCc9DsAnPUeYJj1O9CU9DScaPf8WFz2inyE9vHQePeCfMj1y1T49nKE3PS3TID002Cc9Yvo8PdS0Nj3IbjE982woPXYBFz0b3xA9TnMePcHDHT35Rho9U2cfPXDrID2HHCc9oyQfPedkEj2wXBE9dHQgPYkeJD25EB89tUgePWS1Jj1lqSk9nFEwPSiTJD0Qgh495Y8cPTTPGT24XBg9+hcVPY0LFj2Xix09lYItPQQYMj232y89NzgcPSlUJT3P2Ds9hrhPPfCyVj0wZFc9vOJWPX6XTj1uvEU9ML4/PcKrST25r089N7BSPVuATT35v0I9ruE2PTWiJT1N0x49Dq8bPRS+Hj3+yiE9/y4gPYCXFT0/3hI9i2YaPcUXBT70ClY+cvG6PW3Kaj0l+xc99hoTPU4qFD3H3RQ9PWERPVh1Bz25CvY8B0HjPPw37DxE+AA98yIDPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+kxRw8jWA9PFffrTzj1Pk8gB0pPdipET0/JEc9ZAFCPfLJDD3lJyI9u3RDPX8oTD0F4lw9lGRzPQ+5Rz25rFQ9LVZgPVE3Xz3YpVU9YwZOPVU0Qz3Vl0c9lqpIPS8XTz3qd3A9KZRyPfZ/Zj0LUmc9iphqPYovfT0eAos9+FmKPRJAhj3TxYY9zr+CPRZWeT2aO4o9P4GCPda6gD2K2Y893daWPcR9iT1mY4w9NO2SPUXqlz05mpQ9TXyKPcKCiz0R7o492WaZPbX3nD0eAJc9keKEPZ7lcT0LnHE9KAiDPa+Bgj0zwm49qBV6Pdvuhz3c9Hc9cmGBPeC1gT2Y5W89oLxvPWGFgj3Vh4w9LoWMPdxJij2PeYg9QRiQPQL6kT2zYoo95TeKPb5Gjz0zV5w9MI2lPUhPmT0005Q9YneRPWhcjT1XaX895/98PZ/Lhj1rW4o9m++HPUAEhD3EPoQ9Yn6bPWFhkD2895A9tsWcPWGErT2kSrc9Go+rPTWJlT32WJA9iX2NPbkSkz0qs4g9deWBPYkbej32nm89/qpsPS/jaT3e54A9QGqJPYFrgD0VIoM9R/eCPXvRij06x5M9IcKSPaJ7jz27Z489hfiQPSLzlT2qbYI9bp57PYGSij0MFIs9HmKMPc0nij1Ps4c9VYSNPb/Khj1fpIY9OKeJPZWdgT2Xcnw9p3x8Pd8ygj2f+oY9GwKGPXbnhz3UL4E94J1xPTh+cD3ZFnE9ne12PULmeD2pc4M9DEZ9PYE1gT3rq4I9Ff+APYYFdz2/mHM92d5+PS/lfT2B2HU9hiF5Pdffhj0+1oo9lhuCPWOwij0O5pQ9ePqZPb5BlD0ja5899aKdPaw3hj0hhog9lNeKPaAHhj32C4k907KQPasCkz11Apg9UCGePZOtnz1sCqE9LWOePUgqlz0a84891pWPPbz2gT3enHQ91M1qPc14Xz0Nxlw9ZQJTPQ9FVD2emls9l+BbPVxoYj29wGc9nZx6PXOEij2NPIk9wnJyPTwzWz1fzVc9DXFWPVdvZT08Fns965mHPY6vij2psIU9gnCFPY7tkD0oBIk9bZKEPY12iT1iNos91fGGPe0tgz0/omU9QYlSPWdRYj2+Umg9sfV1PRbJbT0HRWw9pRF+PdFRbD3KBGQ9giRoPRCpdj2Tx3c9ZrKCPfTEjD0lz449PyqOPUaajD0F64c9SoiTPcaulj0rBJM9EwFwPdlhYz2GBXA9wrV0PdQcgz0/boU91rOGPensiD0wgYs9FoWBPdRFaz3PaWc9WMRgPQ9FWj2N0Vk9v0ZkPWLSYz2FVmQ9u/9ZPe4XYj1AK2w9fq9vPV0Ydj1+jHc9csZrPX7zTz0cXEs97iJGPXuKSj3y/009TmhaPbREYz1axlY9WbBOPeehaj0OBHY9KBx/PdtbdT2sdIM9OO6GPXq+hT2D/4Y9Lzd/PQaHbj3y6Gc9btlkPQmlZj3odW09Sv5oPX9HcD1uqoY9FcODPYY6fz0HUHM9WgBVPf7YRD3h3049vY5YPSL6Uz0VuUk9EFs6PZp2MT17Syg9T+QiPYIlIT1+Kxo9PZASPUtVGD0vHB89wcYfPU8aIz2Uiiw93+EoPS3aLT1H5jI9HG84PTWTNj3iUi49phQlPaxFID2r5yY9OC8VPbZAED2Hev88zNXlPDrgyTwOnMY8OhysPFQIszwZSr48Px+0PIhBrzz0rLY8BqqxPG3jqzxPcZg8B1WUPHLCpjwg4KM8v4ufPKsMpTxk7Kg8FeOePDM7pTyL6KM8aW2uPJlhsjzqcbg8Ic+yPDHTsTyKKLw8mEnjPHCt4TxL1dk8IabhPGLz+Tz2cvM8H9ryPMfz8zxN2vI8rMblPMV55DyuvfY8vvD3PLkv8TzOVvI8N8LnPDr+4TwR0fY8v1z2PCe25Tz/e9c8TyfOPLhk0jw0v988S6rhPGj02zxSjtQ88MnIPNSQ2DyDxt48JRnVPC38xTwzNMU8JtXLPFDNvjw/uqU8romiPEEGoDxD1Zs8JamzPKcaxDzIE8U8Ah3MPI3Vwzxvyrs8kSPCPFersjw9RbI8CQe8PJVevjz4qMA8prC+PO5nwTwHkbU8ZQ6/PK842TyHUts8ZMvdPHJ+5TxN7/c8O0UBPfW1Bj1MEwk9ozLvPJt44Ty+NeE84NTcPNxowDzDgr08NPvlPJ96uDyGvrc8NNvlPG3kGz2Y9gg9yJICPaN6Dj3FJBs9A2ZYPSjVvT045AA+NIJAPqMjPz7eLj0+N/krPu1zBT64qKU9ihWOPZ9huz2e0gU+FuoBPtR/Iz66kRM+W+c3Pn7ZMj4xcCI+YfQXPuR9Fj4TvyA+wpAhPsq4JD7CaCM+fqMVPjtEDD4n8wk+FiYMPtEtDj7tPAw+kT0PPgydGT7vQiE+s+YdPmeHDT6V9Ac+2f4IPtseAz4deQ0+wsQgPlghJD4nNhg+sBa8PUKcpjwIoYc8U0mVPK9PmDwyspM8S2KYPMFllTyAvYw8fy6APF1ieTz/L3088deIPOjPlzw8Xro8qNQ0PUjthT1ZTVk9j+3cPP7stTydJ6o8MdugPEP8ojwlwas8KB2wPKi7qDwEIbE8xyyyPFnErDzHkqw8h0+7PNek0Dx9Ytk8/anSPMuBzzzjP8Y8QIq0PG7AsDw0a7A8loOyPAgotzyLDLk8RG64PKpjyDzSz988h9joPNJT7Dw6IeI8SgbJPDApyjzhTtI8Bk3hPDI86DzgKvY8oJoDPTvmAT0I1+o83dLRPO1ayDymato8p1n1PN8G2zzTY948MxjzPDjI/zwgWAc9HXQLPaP5DD2+MwU9KwsFPVXTCD3fpgw9KfAMPQxMGT2a8x89xIoTPbpCDT00pRg9+qsWPcp5HT0ZIxw9P/8NPUo1CD262gM9ERf3PDim+TwHXA89dGgcPeTrHD1cCBs9q7skPWGUHT3AThY977gVPQz6Ej2n3RE91v4SPTDCBD2A6QE9KqgQPVbvFj2iEyA92CshPelkHD0jjBc9Pp0gPX1NJT2KijE9Uc03PRjwKz2sQCM9xdwdPTBzGT2JMRk9ypoYPdXuFD1qaSI9qw8qPXzEMz15SDU9pIQ0PXSCNj0h2DQ94yY0PfR3Iz0poRI9b+ILPf6AEj2nPiA9UQEkPZDcKD3znBI903sUPbxEHj2VfCU9+MonPdmeOD2RRzE9RzMfPXqfHj3q2Cg9j9YrPfATHD1RFxM9mBAQPXc1Dj103Q092MkNPTUpDj2vGhI9neUhPT6dMD16qzg9Qo84PWFBLj23rzo95GNRPQh6Vj191l092gdhPUpjZD1c5009CC06PeiDQD2M3EY9exJFPVVlOD0jeDM9ffIrPcAdJj0PzBo9gTEZPYPnGj3y+hw9JuQWPZiUEj1WcAg9pPkGPTD0Bj13CBU9jhAkPf3lHz1JAyA9YQwgPVwNHz3JVRk9Hx4VPW7PET3XRwY98f4EPWUZAT27Ffg8GQ7tPK/36TwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf88tmDvPLZg715BDPAcAzTzqjRU9W2wgPaLIHj23xc88kpuVPJ0fvDwEuhY9xHA9PShIUD22Fl09RddYPXBfSz3SEGI9hsh6PXgXYD0Sc2I9DatnPckwbj014Xg9+HeDPbiuhz0wBoU9ZBGCPetjgD3gaIg9rMqaPaJtnT3jI6A9GBqcPcTfmT2u0IY9LAyHPdi+hT0uYIA9wuN4PRmDbz2BDWI9Q7hmPa+6bT1XCnI9+qNpPX3oZz15EX89Ge9/PUTMij2MmJQ93aCLPcmUiD2zg5Q9v4qUPZAPlD2t45Q9SYOMPQruij0aRqA95gmlPQxzpz145qg9cIqgPQvylz1IHYk9azFuPQA/YT0k8GU9qyWCPZEVhj1z5oA9en5xPRsJdz12uYE9kbyOPcdTjT1sGo493YOWPYS3nj0tKps9EteYPZ07fj1jdG89jMWCPex4gD08lXI9AZx1PREEgz2CBYM9x2WEPTfwhz2YOYQ9DXaGPWxJhz2vlXc9i2hvPUbbeT2lEXk9cU2LPRdNnD1TBJ89CoaXPcqRkj3gkZA9goKRPRjEiz1UrIE948J9PSk1fT3bEnw9H9aAPeAShD3o9oA9XWWJPWe5iT2lQIM94HR/Pc2rhD1HHH09VaqBPWaLhT3F5YE9wZxHPX7PNj0qUEc91Y9gPd5jZD0/hms907RgPZeoYj34uFg99V5WPQlIWj0fo2Y9GWOGPaG/kT11mJQ9utibPdm2nD1WLJY9HgGQPYi9kz3C/Jo9C46cPX0knT27po49JhGNPdhIfD0fc4E912eXPQtInj3CXKk94pKfPbA/oT2mLpw9V8mYPUdomj06pqA9b8uLPbTuhT1CPYo95kGBPekyez2RQFs9W19FPRBdSj1FNFY9Tr9fPRsZZD0xyHs9fEl1Pem3cz14XXE9Wcp5PZ7rez0PfWs95shfPXogWz1+SGU9z7p9PZoTbD1OVoQ9u2aUPSp4mD0iuoo9F9KBPXUefD07Zm09y55iPfYnYj2We289o1CAPXUPgD0P8Xg9QS90PbSZbz0Y72Y9blRtPaIGbT1JlGA9SuZVPWqQXT0lIVw9wL5hPep1Zj1tL1U9q6xgPRH+gD1hJJE9jymRPUAzgD1wq3Y9agR5PQKRdz2Zqng9Mzl/PVzocz3h9Ws92UR5PZMwhD1qRYE9Rih6Pc/EaD2c+m890h1zPbPhYD3w0Ek9TUdHPZ0OSz2/60U97X5LPWVcSz332Tk9FHA+PUg/Yj2zjmk9udBhPWpqVj083GA9shdgPSyxUD0JaVQ9dSZpPR1XWz1ahFU9fD9YPRXOZT3yqGw9HIhiPWNeYj2KaXA9+bZkPY6Hej0+Z3w9Kid2PXQ5aj2Nj109zTZgPZBZXD1PlUQ9JvVDPXGhVz2XpmA9yE1ePaqNUz1sSE09SRFhPfsihD0jH4g9F3p9PQFhRT0K4Ds9ZwQ9PZRmOz0q+DI9XaM0PTW1Mz1N8iM9joEZPZ1dJz19JSs9QssqPcQ9IT2Sbx89vUsdPVV/Iz2YoR49sZIoPYfFPT1HcDU9XdUwPQgvNT23VDE9NmQlPcc9Gz25yyU9WjY1PZvMGT2WwhI9PKj8PGZn4TxU/MI8bNyvPA5Hxjzd/Ms8rRXLPFrDuDwKiKc8kq+YPDokoTwbD6Q8QnSoPLt1nDx+wZY8LsmbPItBljzV/ZY8X7WUPMgSlzyoK6g8R1KoPOlGpzzXy6Y8RGazPFrwvzyZCLo89Ku8PPr5vzxkCso8BNvRPG6C3zwmpeo8Mt0EPSexCD3E2gQ92J/tPK+F8TwapeM8vnDbPOMn6DyTA/E8Y6L0PLHg2Dwc9uQ8uZf3PD4vCz3UVAI99GvpPCN43Dwyksw8BHfdPLWi7DwvFuU8n13ePJxy4Dw/teg8A0fTPMkayTxNBcU8lPHHPHNtuTxUkaQ8RSCcPJmTojwOrqk8XEOtPFC1wjzlasA8eGGpPPqosTwcYrQ8qPKxPO89vjykr688y32+PHUu1jzdb9E8Ui26PH/VrzwAALk8ZvTPPMwNzzx4S988NVzsPJOH8zwqif48VrwCPWINCD06yQM9MeDvPKlm3jwj3Mc8mMnIPGwA2Dy0keU82ZbZPA0UcD04/o49JAC+PRBb3D0I+f09E2oAPlh0iz3zT588HuuRPHvWljzZf8I8g4cfPXZ6pj1YMbQ9EXSsPceBhT2DuA897Aq0PBKWrDxrxdo8uDMDPfPVDz1DjUU9VGWKPZXLAj5VnNI9m4qhPRD7sz0o8Lo9RBLiPa8ZDj6fORY+fUgTPoUk7j0rGqw9gSxnPQIxSj0z7jM979suPZ0rmj0G1xA+LJ/lPQZ34T2azNQ9zD62PcoGsD04LbE9ZZCZPQ1ZkT1LG449+5WLPe7kUT3aB8c8iM+1PHaHtjz4Rbk8tfS3PGYrszxmdKY8JJKhPLBxkTzVr5M8gAedPKaDpzzRb7I8VPasPEoqqTyxtqA8DXWhPGZLsDxD97U8f7GrPHImqDyxyK88CUSxPJZZsjwZErQ8Scy1PHLruzyLqMk8653MPGvV2DwOTts8warIPAOLujwjLL88pAjEPKOgxzx6mME8z/K4PJJFyTxRw9I8yX3PPK/S0TxeoOY8XVLvPJYL1zxjP9A8j/jKPA+F2Dz7TeQ8i5b0PCGS+jwhivc8HwcDPaKt+jxHg+I83+3iPD1p4zwscuE84Xv2PA+yAT05Lu48IzDnPH65AD2ykAo9HcgXPeqtFT16jxE9/moLPTWTDj2nExI9GEAPPcXDET3taRA96WgJPd749TwB4ek8nLX1PEYW+jw5tP88bMX3PN718jyI4/I8ToYDPZwR+Dxr0P48OIcJPTB7Cz31RAs9hoUGPdOgAj2eNQE924oKPWjSDj10ZA49MukMPXytED1JzQY9vuX4PPf/7Tz/3e08Q+4MPYVNDz35kA49p/sUPXgvHz0FqiE9UucYPclQFD1wKxs9jSocPXR4CT3mawU9YFMNPejFCD1PjQw9PjYXPeiXGD2OlBk9TUwmPSwyJz0LLhw9xH8VPWqfFD339xQ9af4RPWb8FD1/7xs9/oUiPRQDJT3YZSM9sPsaPf1aID1LKSM91yA1Pa1HLj0YESo9fXEePam9IT1adiM9o/QYPfYaFj39lgU92kkGPZyHCj0UEA89IeoSPU05FD0qSxo9Ez8nPVSGLj1Pgjk94Aw7PSwYOT2Nnyw9/e4xPeFtPj2su0Q9wz4+PVmQOj1myyY9ouIePeZ9HD1NayU9A3c2PXrrNz0QOC89pq4hPbcVHT0+fCc9VQ0tPeAcKj1Eqhw96K0cPZoyDz33Ygc9k9ECPYb9Aj0p8Ak9xWMWPXbiHD2kohk9k00kPfAIJT2fgx497bURPZSOFj2aIhA9YbYIPal8Bz1WHgU9xg4APaRH4Ty51dc8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9umng8QV0RPXRuQj3jeTM9xAE+Pf+mXD2Jlmg9trUiPVC1TD2Ln3E9mB9MPUekPz3GMl49U75zPW4qdT0S/YA9H3eAPWsogD3CtHM90jGEPfqXfT1yT3E9BZZpPRY+YT0ying9rB1+PbqGdj32FG49P/NrPT+7aT18dW09QJt1PdkCmT3MK509Qf+aPaT9mT2ckpc9ATSRPcKXmT3khK49p4GtPSEqnj1CtpI9efCXPT7nkD2cWYU9ejJ6PZvPdj1OmoM9RFqEPeQHgT0EEoU9vtqHPUg0jz1nvYw9n9GLPRh7hD1pYog9d16OPSsKhz3MgIc9l4GWPb6bjT2+LoE9isp3PVIJWT21JG49ygmDPTBWgz1KhHs9e2t3PZB/fD1gYYw9btGJPdy2gT1OJoE9gNB8PdYwfj0bXno9OuVhPcz6ZD2Gl34969+IPV5RiD2aQZY9TEioPSrSnD0elpY9PjaVPa6uhT2q9mM9XyJYPTJUWj1if2A9/gNiPYOXbj2bin49DHWGPWLYhz1Xx4c9QDCHPYG1kT2KuoM9L1R0PTyMaD3LJFg9UxJWPbqOVD28Pmg96618PUO4bj0OFmU9rNZkPQPyZT2MK189Z09mPXjdYD1kBXk9oIGAPeLahz3ERpY9OS6ZPbrZoz1hmak9m7mkPZKQmj1De5Q9eJONPZUniD0Heo49hzeJPXhbiz3rjZQ9w72aPbnWqD1D/7A9CLmxPXvVsz2uWqs95JqUPfAPjD1XxYs92lyKPaKOhT01NXI97rxXPSdKSD0B4kU9hlNOPUkoUD3IIFE9WhpsPaocbj2DiW49jc2DPd6kgj1nCoA9gYx9PeRPgj37r4E9o3NSPaHaST083Gg9GIh9PbkXiz14/Y09IcWPPUrAgT3aNWc9DERjPandZT2vYmM9uU5XPREeXz3CynA9Q7h+PQMQfT04yXk93p9lPZ2oZT0XsWY9Sr9TPU37UD0T+VI9971dPWM1Zj13n2E9vdJZPRFEPz2w1Ts9Yas/Pd+dTD3p/2M9vah7PdxIcj1/b3E9h9l1Pcirhj32Yo09tqV7PeNWhT0K5oQ9PniCPcV6eT1GXm89Qr51PeFNXT0SKlk9VstSPUA2Vj2SfFs9UCtUPaN8Wz1Ink49bZc+PW2EPj05LDM9a0I+PV7WVT2egVw9pfNpPQLacz2wc4Y9LKdrPVZHaD2FRGY9ryJxPaLBZT0lQFs9x0dbPTo/Xz0T42Y9Jot6PUXjeD0nxnA9DChtPVgscj3eJ4M9Ou2DPQmkcz3+aGY9mbVZPUU8Wz18U2A9I1BPPQHRQT3TQUU9fANUPfUlUD0M8D49R7A5PeOzPT2D1EE9+oJAPYrfOD0ZtyY9zSofPe+wJz3jRTM9T3NBPQIOPT2fay89ON8lPY9NMj1xxjk99HEsPWWYJz3nDic9LPswPQ1NIj0U5CU9DWM2PSgyMz3E7iQ9TIMbPfu6JT3jJUI919QnPS/sID1BjQg9rDoIPfLtFT3eORY9VXIEPSQzAT2Cj+w8t/zAPI+utTw9asE8aX63PLuZuTxrzsM8my62POiwnjx8QaA8RvKnPBGbrjyKYak8dg2dPLwenDwxl5s8jtOaPBBupjxGu608OamXPHPsqDyfYKM8QE+gPINbszzaTsQ8jq/CPLiyyjwe7+c8RPnPPKAVyjxP/tM8rrDsPCIJ8zyg+xA912kMPWkV+zxWIeU8JxTVPLOVzzywgNA8P7LhPNUB7DzdseY8QMT7PAgbAD3pNu48V+rmPAht1jzdadY8+D7hPH6g8jzMWPU8sob2PJ9O4DxfssY820HNPGH9vzy52Kk8ObmtPAX7rDxyk6k8voWgPDoDpTwtt7A8WfCwPKcwsDzlUKs8cp6sPGLlsjxdqLU8dLyxPDN9vDwP/as8SUS0PK8PxDwpA8E8b4PHPBX60TzPCNU8cWjIPHrvyzxjR9w85ozqPAKmAD2K1wQ9W+ACPahhBz28vgQ9VdPnPAi7vjyj2b48kCrJPIf9xjzuiMM8++jOPEUa1zytcns9AdubPeBHuD3DxwE+sOkYPoMDBz5JOGU9v9qlPJ9ahzzT1Ic8hr6QPMPEiDwc4pg8TJSfPFAxozxbmqU8l92gPDJnnTxfU5I8SM2UPN+cnzxhiKY8DR6fPFa9pjzzyaw816SmPN+mpDzkV6Y8S4yvPBWRtDx4/xA9PlRLPRPNZj2O5js9BTrzPKX42jxddso8nOq9PGXwvDzhMvM8mk8QPZIlAD3GkBE92DUJPS3a+zy3ufI8Q5P2PE/A8zydKts8kCPMPP31xTxWbrg8Dpq1PO7zvjzJTM88JIfQPIF1zTwn9dM8YFrPPJ2FxDyi0sc8AcHLPKNYyDxA7cA8c4u8PFgRvjxrcrk8eEerPFlIpTx7Vp88kBupPPGPtDxlorg8eRm7PODetzzNFLE84w6+PBDSuDyCWMA8pgvTPA0J2jzAbNQ88h/NPHUtvjxhBbo8NgKyPL1CrjxXDqo8EnCvPAhwsDybF788Vv3NPMAG1jx0MeU8pK4JPYgi8Tzkj8M8d0PHPCNezDzUE+887F31PMJOBT3X9Qk9LRT9PC259DyILNc8eJXqPMX8AD2+Igc9oAMLPTzSCz3HsRg92aYdPeBVFz1npQ496SoTPb5gFj0HKgo9XGz1PJU68jwB5/g8adn5PKVl9Tx0pBU9ciQJPe9Z4Tyspts8wNfePL5W6zz/8gE9KWQGPcCpCj3QWhA994MSPTRKCz3hSAs9e9sSPd6WEj1etAs97CkKPbDWAT11Uv08fd4IPR37FD09Jhg9evoWPRy6ED2gzAI9BqXsPCd+9Tyq1AM94+MGPbd4Fz1c1Rg9iDQdPdeDDD1cVRM9FOwWPfsbCj2LcBY9EFglPRYaGD2lMAU9eiYCPaTSCD368xA9sxAXPTF5Ej2MhhU9r50YPZ6qIj16nxM9HY8TPRkJFT3dlRM9nzETPeF2ET34Uxs9GgopPf+lKT1DTBw93v4YPcFcFT1CWR09pYkZPXprHT3seBg9YjwZPe47ID0TKh49ikoXPdGwCD3sJhE9rT8VPWPDHz3NDhk9+SMNPTc+Dj2VQRo9ADocPYzBKj1Onjo9XEY3PTRxLz2zFyQ9q6ccPTf1ID260SU9hBooPeuhFz2r1RY952UVPUjOHj0pByM9Ok4mPWKSMz07FDo9kZM5PVSmLD3jpSA9dkMiPQ5BEz1cnQ89TzYLPRhCEz3+VBY9WiUaPerDFD1RVRU9wdUfPYbxIz0s0xY969QTPdvgDD0zkQs9WZQIPQ8QDD3MlBU9kggSPfaDBj00VwE9pvziPEY63Tx429w8HkLdPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+s/Gjwndqo8m6saPZcyIz2XRB89zOU1PadEXz0BzC89fASJPWBOlT3BQIk9/t2GPQVKcj2gaWU9l2h1PbH+hT3kjow9t6eMPZxckT1o+rA9zxOwPcXtoj0NnqA9yZalPWmMkT1Ui4g9n26IPUrpiT2CHIs9a8CGPbP0XT2plWk9EzZxPRKAcz1M7nM9mlaFPaotez0cpn49uIyEPc3UjT1UoZA9njegPd8yqj3fQaU9ml2jPYaVjj0Kp4U96AaGPelJhT23Nnk95KpyPaEDZT0fLV096V90PVtMcD1pDV49yV2APZgEjz3ye5E9F7SGPZlSfj1lfnc9AWF9PYbMgT0KEYI9o4F+PSDaXz2yaF89KNB9PYPJhT0/04c9LuCUPQ7wjT0HCXo9whBtPQKrcD18BnM9JIdzPSzKfj3k8X09BpKAPeJjhz0sS5A9DzSYPRH/kj1nWpA9p4CGPf6QhD3KPnw9y5hcPdADbj2OiH49yw5tPWctZj0udVM985pbPf5rfD0Mo3U9R2B+PY96gT1Sons9WM1sPRBrbz1bjm49/WCEPSy0hz3hcoc9OQWTPfmCnT3TPZA96jiXPVXLmT0T2Yc9rId4PepPfD0i3IY9SECQPSMNkj0CHps9fiCqPbZvrT2OAKI9lIumPS33pj0r45g9znKTPZpjkT1TvoU9J5l3PS+rdj3wjHY9pUJdPfdYSj3RMkQ921xtPWgvdz2QioM9DR15PTU+aj0hPmw93tRTPUBbVT3PUF49WhhRPaqOUz1fl1w9SRhaPUKaXz0bHk09gA5LPeTSVD0j7GQ9vEx3PeX7eD1CLX09QjqCPUN0fD1RzGg9JQ1dPSwkVD2o3FY9KBhlPRq4XT0swFY9J59hPV0JWz2sUE49m1xXPY5HWT22oFs9/yJTPcMiTj11mEQ9ePo6PbiHLj3svSo9ZOskPVE4Lj25jj09bAdRPTZ3dT00ZHo9pbB5PWOZdj3zGYg9LlqGPVdXcj1nZH09UiF/PXF0ez154289n/FnPXlAZz01dEo94chLPacXTj2n9k493sBePeHqZz2kxmA9oBdePUV0Vz0x1U09M5c/PcTPQj3lfUs9LHhPPcwYXD0jQGk90lVyPQATbz0p13A95PV7PS4Sjj21ypQ95SGIPR3lhz2KR409txuCPWAvfj1Cj4I9LkOEPf47iD0ex4I97bJ9PYHKcj0FQ3c9GNpsPXJaSj3iv0o9oVFHPWVEOj0KITs9UAZEPdoLXz3KvWI9LZFTPenSPT0p7Tc9j/FAPVHPOj1YaDQ97lE0PXYiOz3jPjY9KlglPZgLHz1byy09LKw4PfWGMj3Uo0I9/WtfPc9CWD1IgD497yk0PdkoMT0ANy49b/0qPYVnLz0VaSY9YlEfPViAKT2R10U93VBBPRWVKD1wmiA9wz0QPcaHAz2UJAc9TlsDPT1q5DwvSdk8d4XDPKfCtzzlXL88ElnLPHuXvDw4JbU8F3GoPMHIujyjSqw8M/2rPF9Svjw8S8U8uz27PMcopDwh3548KmqlPLO4qjxSJ648SJC0PFH3vzxAptY8UWvVPN1gwTy0Y708iRC+PEfFvzxAwcw8SnvOPAi4zjyrzdY8ymLgPJFs3DzK7u8856X0PG4N3zyKYtQ838rQPN8v0Dx799Y872LlPJDI5jysbOQ8ujbfPLaL7jyT9QA9PRz9PFE5/zyMG+U8dbjYPP2E4zxbA9c8ZdvgPKeO6jxl8uY8i+zMPJjMrjwdxbY8EnDLPBSC0zykJdc8h+bAPJnVtzw0rrI85iKxPGB6sTxHLrc8hdykPKTXnTzHDrM8h3G8PE3Ivjz5acE8EQO+PE5bxTwzLrk8BRm+PMivxTy8rMk8lkrJPKUJ3zybjvY8kdX3PJaQ/zzCUfc8aKr+PJqBAT2dxug8jBvkPNXv6zzCvsg836upPA4drjwsvLU8As2yPCOYoDx5k508eL6tPHDnyTy5tNE8vhnSPPvR0DxJMcI8PW+sPNkmnjzDHZo8lr2WPAynjTwOsI08lKCQPIMckjx384c8QG+FPFVTjTy1paE81pagPDzFnDyAF548M5ucPH4tmDyfYqY84Cy0PIkdpDz0ZJs8Yn+aPGlHoTxRqaU8PfS4PK2n2TytGuQ8S3bmPJUT5jz9g+Y8tQbfPFZm0zw8xdQ8MgrZPB0F4Tyy1vI8kEMFPZqlBT3m6Po8cgD5PO1bBj3P7Pg8lDfYPAfQtzx8n648MDGtPMn0tjzLTs48WADQPDtv4zyLy/M8OeP5PALe7DzYltU8hV3UPIS7zTwkvcQ8GQm8PKbEujxTRqw8Jsi1PI47sTwDbq08uhunPLGnqjwEX7U8IdGwPIVXsTw/OrI8rn21PJcIuDxtprY8B2TLPClJyzy8BMc8O2bJPH4y2Tx8XOY8gFDfPBBwwzzCe7s8xu++PNWUxDx5O8s86iHKPJv62DybROE8Tg3+PJ7uDD2pxNQ88MW6PAUetTyGv7A8Iga3PJTyzzxSvfM8kNAQPSpWFz0uchQ9eiYHPVRdCD0QRRQ9dbITPa8kFD0l1xM9accLPTWdDD1pqQg9s7sNPQd3FT3H/RY9zecYPTbbCD2qfvA80ZvjPJUPAz3ANQk9JfEQPYb8AD1jevc8c+3pPEqS7DzQKu88jOv1PP5m/Dz9AQU9KmQOPeuBGj35Yxw95aAYPeckFz2ZBgo9V4IGPe2mDj1N+w491B0LPYglEz0abw496lQGPfDSBD2xkwM9mZ39PGyJAD0MmQo90jkMPbBtEj0gpA49ht8UPVTtGz1x/Rw9ZLwaPQpqGT11sBQ99pcgPYmAIT2sWxg9GzkSPdwsET1v+Aw9B1cVPQ6AGj1EXhU9HB4aPXD4Gj3J0xU95WEVPUfUGj0NjxY9VUcHPSgBBj1DoRY9OaM4Pa1SRT3LmjM9nmEfPY3dHj3UXSk9tJskPd7CGT06SyM9xL0bPYBlGT3FwxY95ekTPVNnEj0BbxA9adgZPemqHT3M4CM9JkwTPXd9Bj3yDA09G7sUPVAmFz0qASA93PEoPbnpFj1SdwA91eL7PL2PAD2JRgY9wBoAPUW1Cz2Yaic99xswPT4PMD2WRCo96GgiPTTEJD3hjSE9rD8dPawiGj3k/xE9fCATPfG+Gj1NOCA9/wsXPcZcFj0BsxQ9cMcWPf/LEj0QcQY9o/QHPQuCCj3MFAo9UhsIPTMSIz1IlzE9exEkPcZ5Fz1Y4As9rgcHPSfB/jxQwu481IbhPKSm1zwrNdY8raDPPFI3zjwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+hFiQ9Auo5PaQ8kT0HNJ09TBmIPeRhgj0FGnQ9baeCPV+GgT1WRog9AuWSPY63lD2W5JY9ElibPanHlj2xXIo902mIPTydiT2pNoE9aQNsPcI+aD1oC2k93NmDPfjDhz03iIg98+qJPTvaij1drIU9NtSDPUsghD2SGnw9is6JPVd/kj3U0pQ9CJeaPa6YpT3drKE9pMucPbzWmD3VEYo9Pkl7PaGmZD33Bl09WI5ePeqiaj1HXGQ9bUpePRdabD26g2w9EddnPVY3Zj0Ggl49kglfPSs1bD3vS2o9jvx3PepqeD3+bHg98xV6PXFIeT0Wk2M9TC9ePWr+ej1vlYc9hLaHPdqDbz0AmVI90mFNPeBBYz1PSmw95HFsPeBMaD0cZW49i6h5PYb9gz2qbYc9TJyHPV5tij0lo4k9cNaFPayAgj1hO3Y9iH1zPfnocD2PKGY9dqxoPRAtgj25GnE9NPppPdAlbj20F3o9Puh3PTvQcz2R3ns9jQJ7PYZyeD0vqX89V/qFPVAsiT1GPoo9xk2RPTHOmT0eQ5g9d02SPRYtjz24y409F8+KPUaJhz0ou4s9UD6UPRHjjj1HPpI9QxCZPZ+Tkz1hd4E9EcCDPZhDiD3jfY49G9STPQaOpT1f6Zs9t6+OPcfvhj0qd349R7xwPQ21XD1Ys1k9s2FfPY4ydj2RcXg909V1PdcobD2VeVA9dIo4Pe1rLj0jKi89YwQ6PfbtUD2NnXY9glV2PcYSVD3cw0s9i/o3Pf5qQz3Pb0w9bL1bPWYTfT0PvX49ltaCPRgnhj2ok4w9mkyBPTUbZD2pfl49QMlRPYtMVD3hpFo9qyFiPSDybj2+aHQ9YVxyPSCFXT1ar2s9LclfPVfrST2S+kE9OA80PRwaOj0/jzs9OQY9Pc0zOj0N9TQ9+BFFPd+LUz3W2FI9ufhWPeHrbj2dtW496d1qPQXlcD1Ah4c96R5+PTjHaj3k92M94WRbPcamXT124Fo9rINCPd/lPD3KAT49xZ1FPY9MXj0Ba2o9TihhPU33YD1zz2s98mxiPQffUz0hr1s95gFZPeHIVD36I2U9xbdxPRb1bT3vV389QEqKPZnwiD08p5U9z9aWPeBQij197oA9H3d7PeNHdj1s6H49GcaNPdCnlT3S+4k9MCdzPRh8ZD3IFEA9rcxMPSLVVz3+lko9yHZJPd/rTz12uVY9XYhNPXRUXj18qEY9lew5PeyVPT3LWz49UqlEPWQRPD39uCo90nAwPV3pLD1+zCs9NtFBPUMbRT3+QDU97oU+PdSqPz18lVU9bm5ePRuMSD0DcEQ96VU7PctqOD2r+i89dKgiPR7vJz3rdiY9DX4WPY3LGj3pGS89t/tAPSptRj3v1kM9N/U2Pc7aMz0IDiE9Pp39PEzzzTybgNU87+nVPNSEyjz2t7w82wXEPEB5tjyNxas8zxWqPCjprTyRUsI8NFCqPD75rDx93rE8SjGxPGeYsTwWwq48NZWoPMXipDysDao89Y2uPD/trjyFT6w8Dgm2PMbawzyR7b88r7y9PCMsvTwIrcU8F7LJPNbP2TxcIuQ8Y8vgPKkC8DyC9+M8TNrRPEpozDxvOMs8nNfOPKdgzTx0lsg8QSTaPNf22DyXRsw8XnDJPMf30jxT6t488HvtPDs7+TwytvU8djPjPHhFzjwnLMo867bNPL86xzwpWro8mOawPO2lrjyKGrU8S6qwPE4JxDz4Ws08o56+PNlexzypsc48ayW8PDb6rDx4x648d4G3PHBeqzzS4ag8yN+wPCj5wzz9vs882QfTPKqq4TzB3tE8i1TFPEEf0jyABNw8/x3cPIuP1jyNWus8zMT1PH+hAj33PQg9UGQBPSeM8DyJP9k8HpTKPBQHzTyafsU8eQuvPHU/pjweob08e9O+PGF5ujxGkLg8jOa2PJzbwzwtx8k8cHfSPNCH2jyRj948FIvDPLubpzwr85Y8HtmLPLwfjjzaOo88wUuaPKt9mzyZWY08FieMPArVlDwrm508TOSgPKoojzxNRYs8dL+MPIVOjDxalJI8mm+dPNnTlzytCpM8Z4KkPF8orjyMZLw85eTEPLxbxzwWleA8B/XTPKpnzTzbYNI8ukTVPMrc1jyKZOM89Lj6PMvaAz2TTP88mUb/PJ/R+DwbpOc8kQfKPBjZwzz+P8c8CBS4PG7htTzr0rQ8N0KyPPTjrzwKP748bZu9PH/ExDx38NQ8OQLpPL2w7Tzekcw8LhK+PBQpzjz1o8g8cqivPM3ppzycnpc8JHWePBqzqTzpP7Q8zgSnPKAXoTyVGbA8Nga1PGtvwzxFucE85bW9PLMavjx0f7Y8qey6PMNBxTzi3so8wcPBPDlPwDwXu8s8bXLXPPFG3Tyl5dc8OfraPOCP2Dx1rso8ydnIPLP30zxTcPg8DMIGPTNZAj3979Y8APC+PMi0zTwT+tw82r3ZPEDL3DwL7Pw81HEQPVqLJz1gux09GeoVPTIzEj1HMRQ944MPPW71Cj2oOAs9ONULPS87Dz058Rg95n8YPXEkDD1O6w89FssTPS3gJT2ixxE9bvj/PPBT9Tx3IPo8XjP+PDgOED3m5Qc97pEGPQ1H/DyWEf48TScAPTrAAj1+RQU9duQHPXdvCz0/agU9AU0JPR5mAD2/V/883KkDPdL7Cz0Iug49u4QOPT07DT1zwAs9fE4CPezcAT2uCwU9fwQHPcvtED2Ejgw9dTAHPVYsFj1Y4SQ93FIlPbK9Ij22piA9kA0XPZRGFT0CChE9JBwQPaTSDj19cwo98e4YPWksGD1GbA49ESYNPcBcDj31gBU97EIhPaD3LT2EhiU99dgfPe2oCj3ONQw9zpIgPZfTIz0jIBY9lVsQPXjpEj2SThQ9IMEaPTYGKj0vmSY9rYgePS72Cj2YgAM91BIPPQsQDz0lvA09yv8PPfKWHj2Crxo9SSoXPXuCGz1IRx09zschPYaFGj1tHgw9sQQSPSQQDD2I7Qk9M60EPQl6AT2JsP089NQDPekmBT2xXQQ9rsEJPSfbCD0hUwo9AdcWPbkpGj1SpBc9m8caPRqzND0CQCs9ISINPVAU/zwCUQE9yAoMPc4gFz0ufiY9a+ozPV4hDz12rwk9MbH9PNJaCT2irxE9WrQEPeKN/zyNIwA9O78HPfj0DT0OYA49al4QPaj2+zy6n/g8kVbxPEee/zxdOAg9fIvvPGtfzDwI2sU8E3m5PMt7yTyHy9E8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH95Ero7m/91PLYPVj3me4o9AdqBPbObcD2KwXE9Q4pyPR+bij0YvpQ9sI+bPVAUoT1UUZ89xUmYPae1gD2dCWc9ixdqPcjWZj1yy2Q9WUpbPVc1Wj0NAm49NgaGPV/wjD0hsI09GluPPU6GkT0tno496TSPPSm2kj1/upM98CqPPelVkz3yM5g9CzOSPQBJlT01sZY9LwKQPSL/gj2CjmY9fSxUPVpETD0gZEw9B/JbPWYAbz3kY2U9oWRfPRVOZT1xEmc9xEhpPUgtYT2rXWY9Y3JtPaofbz0fim09qMFiPXCKdj3VTIU9qtF6PVWHVD1hoFA9CahZPZCtXT3RzWM9XmdcPSqqRD2hvDs9ytxDPVZtWT1zTnM9Ht93PW2cYz3+7mI9s9lwPbP4eD3wboA91k2EPVyMgT0WQ389HQCMPYXckz0CkIk91QmLPWc8jj3O8JA92AKMPV+Nhz14zIk9K+2APWKLgT3F23o9rThyPZgsez323IE9DWJ2PbNWdD10OHk9aFuBPW4Ebz3ma2g9llNxPQWvez1sDIw9aOSUPV5Blj2f0JY9jVqdPXfzmz1RNJU9/0aRPagdkD0wB409jByOPZjfjT1xX4k9OvSEPU0MhT3arIQ9pLCIPWiniD23RIo9k7SOPaajkj3U15A9KiB9PVJafD331HA95ttoPVJMbT0q1mU9BtFgPRfhWz2K50s9ChBFPZkXPj2K+ik9QpYzPeA1ND3NqTk91Kw5PX87Lz33jCk95nAzPdppNT3prjs9blRNPcqobD3N03g9ihd5PdsRgD0PdoI97mV2Pajabz13TE49iuVMPVk0RD3ZwUg9ZtNmPdcOeT06Fn89BEZ4PcZVbD1yF1o9h95RPXkqQj3Mmio9xZguPerHNz0atz093g5EPTCJXz0hPHg96ZdsPf23YT0XLGA9tvJqPdTjcT1jw3Y9e4xqPViEUz2GP1E97hFxPcCEcj3HcFo9RFZbPVqmaj1PLmc9e11ZPeroRT1jbUM9tOREPeoyVz34kGg9vthrPTROhT058389EoF4PRFxdz31zW09EkRnPTvsXT0LJl89bABiPcXgaT25lG897aFvPQSZfj2t4Yc98RiPPXEejz22yIY9OEqMPRbPhj2zJHQ9zodmPaR7Yj2FoVo9NE5XPRCSXD0SRVo9MDpVPdbmUT3EWkk9Hd1PPYY/VD0Dy0499UJUPWW9WD1Ba2U9bxVqPZwUVj016Eo9miQ/PZkNLz2B/yU98YcnPbaVQz0hmUA9O9VHPZNfUz36SD49pmMzPeTlRD1ewks9ytBPPd6/OD2RxjU9LRguPRkBMD1RgTc9kmM4PRscMj2LiEw9RqE9Pbp9MT0ZVC49wn4iPfp6Hz0GIh49OEsMPU857jyqkOk8T3rXPKSh1DzH2c48/+TRPCQK1jwdAtk8uoLHPJAv0TwBSMA89jK2PEURuTzqcK48ySGoPD5MrTxLB688HiSqPNaWpTyV9qg8x0G3PKFCszxdULg8gY7CPK39vDx91LA8reGYPOS+lzyYXqQ8YPuxPOKSvzxgi9884iTXPBGnyTzhdNE8YyLpPErq6zwx4fY8wsDxPMHPzTzFIr08uyO7PEyHvTwmxNE8bK7XPIo93zzT0M88kRzIPMhpxzwQp9g8oevsPA9d4DzY9sw8XaO5PK5gtDwbvrg8Bjy7PEbzsDzVVqQ82r6dPMJ2pDxcU7k8C6qqPAPnrTxIHcg8QILPPGoszTwalcs82XDSPGAixzwtvLU89r+vPKyPrzw/ZMk8X5jGPJapxDw+M9A8WcDUPBfP2jz1Ots85FrSPJ6n4Ty7muQ8LEvfPKmZ2Ty04+M8j8wEPfQdHD0x5RA9Sn4MPb2NDj22l+E8MHe3PBNgwzzeVb88Z4+3PCLlpjxSm5s8pGikPHdvozycrZs80YiXPM+ynTzCvME86svdPEnL4zwMkNU8cfXMPEBFtDydEJ48tiCbPK3jlTyQ1Y887JOOPIkPoTxS/7I86JmrPEXkojygr588K2icPMv7ozwSXZs85qaQPA7Pjzzbj5w8utKfPG+RoDyWTp08a0+kPHn+rzz817U8lNq4PPSvrjwFy8Q88sTKPA7mwDwyHMA8YKXMPMr8yzxSGeg8mx8GPeDhDj1Iuw49uDr6PBjayDx6I7I83GOmPLBGojzdHJo8zmKSPJeElDwWLKk8bZ+wPBAqqDz8A6I8jkKoPNHwrzwFB7Y8tTy1PPcnsjxi+q885KahPFs+rzwr37Q8NIOsPPTfrjwZ2648UlqsPCMmpzzSy6w8BVLAPIeytjyh+bE8bku0PHhRqTw0RaI8m02jPJkopzx6Mqg8mnGyPBvItzyWlsU8SwncPLs8xTzOqrs82Ga2PJ2rwTwtK848h43WPI6L9TxkmP08TsPfPObe0TxouM489YnTPDd37Dz9D/I8ChHrPJsy4jwuufE8zWDrPPAC8jxOKPg832EVPYCENj311zc9MAUjPYUYJT19DCM9fBMZPcQCID0Pjys9yOYaPRSVEj29MRY9P2caPXqMGz3ISRg9aLAZPW5NGD1kMBM9MyIKPd8TBT3yN/U8dFT9PGLWAz3UyQo9G4ACPWiTAj1Wbvs8Z9IJPaImDz2HjQ89PBQLPZM0FD0tGRA9WYADPSJ6AT0suwQ9vesLPRJpET12Wg89Ce0IPaHSCD2sGxM9rvsaPVetFD3zJRY9WkQYPTlAGD1QRRk9x8QVPTxGCz3CNAw9vrUTPeUOFT0qFxI9s7AEPZyKCT17qRE9vFsMPVAnCz2TqQc9vGMEPTNLBz1dmhA9CqwLPX0HDj3EKxk9BgUhPRmcKT3Obio9SU8cPV48Gj0obxs9KeQkPYxXIj0ouBs9+i4PPan9Dj1a9BA9BEQSPQLvED0llBU9x14NPcvTCj0m9QE9MQb+PHEz/zzSEAc9ObUUPQGcHD1DHzA9SicxPReNMD1lGyY9rEsfPbGFHz0o/hw9ZAUWPTNmFz34Dw89QsIPPTtFEj1m4AU9ZO/5PFvkCD1BuBo9LGEdPQAhIz3EfRw9MhcPPX9QBz1fQg09SeoPPQGbID0T9S49yq0bPUFlBD0cEwc9D/4KPfuVFT1DXxk9/ZYePfqzGj11OAU9JjIEPWg/Aj099gU9t14RPclyFT1pLRc97sQSPb5UBD1Xqfg87078PKOU9zyhJ+M8s7zmPD4V7jxBb/E8ntnoPBgCvzy53p48F2KaPB55nDxUoao8042tPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Ig2mPIcGuDxvWV09sJuIPcDMfz1gqnc9/ouHPXx5ij1KnIw9u+CPPUEdlz3rBo09xy18Pbgcdj0vwGA9z0NkPdm6Yj3o9XM9DSFrPa2DZj2Rnm09MTeEPSQ8kj0zEpg9hPOWPZw3lD1fvJM9BviIPfWTkD2v2Zc9cuCIPTdUiT1W+Is9rS6JPbpefT0M6nE9+jprPRSuYz2oGl09UpVSPatmUD0smmI9iOJpPXVDXz1GKnM9ZERpPVfaVz0xUXc9jEGDPe/lij2Vo2k9Gy9fPeU0gz0eeYU9v0WBPdOicj12d30973KMPTQuhD39lF49JfJSPdNTRj2Jsj899hs7PWgUSD3Sez49riBAPXLDVD146HM9yM+EPeflbj1iHWA9eURiPcnbcz0DvII9dp2DPYfbkD2nXYs9d6iKPUdYiD1qiYc98s2GPfLniT3nH5A9Y/CMPfA5ej3VoGY9dFRlPU6YVD0MmWY9ul5vPQ0sgz2SR349YaVyPb1Raz0jjF499tBhPbrYYz0bX2I9Eo9wPcqZcj2KBIM9VeuMPR4WnD3xvps95HGdPZUapT0+eaQ9r6CgPbTRlD3yUII9DVh0PYS7cj3D+4c9kLGKPX8Lkj3dRZU9wH2EPToygD0Sv4A9PKiFPUvjjj0LZIw9VQl2Pe1pXz0NfGA93jViPQvEUT1Qg0U9eipQPfAeXj3JDFg9yXpWPYq7UT2DgVI9SXVAPVeIRD26jkk9E+RRPdaoRz1LbkM9Kn08PcglOz1hvEk9hclqPcLQcz0aLGg9IKhuPTk3fD3Yk3k9enNzPRP6cD2pZV09u584PdT1OD0u/DQ9CyU4PSTWVz3AWFw950NPPUQKVD2cH1E9kvVMPXOCRz2gxlE93aBRPWoVTz02aUc9/+xLPXWpTj3fWXE9ADRZPfzATj39/lE9NaVdPWsBYT3xgU89zKY7PXgDOz3lCz49mPNXPdxcYz27u18957pjPRgVcD3k/3g9VLd4PTKcaz3anm09IdN1Pf1Pfj36DoQ9tOF4PSN3gD3yhJM9C92LPdcxhz145ng9aDVrPaCQaT2F8mc97tRVPdhoVT0abl09c/t2PfEkhz29TYc9NWCQPeDhlD0dII898vF7Pe13fz1Vd3A9cwhgPQH4Yz2Y4mo9/F1ZPYWiZj2Jo3Q9Bz5wPV2GcD24PHI98DxmPUAqZj2Zql49oSdRPb1RSj1S/ks907FgPTICYT0nfFA988FGPXN5QT1mcTA9mXw1PRIrOz2QokE9Mqc6PSYzPT3zAjs9FqQvPTDLND1GcDo9XBM7PTpLND0QICg97sNBPcyrQT3jZzk9yKAyPXSMOT3+azo9QlREPRKqQD2dqyU9MAoWPQILBD17sO08Z2XePFIf2DzXBcQ8pVzDPO0oyjwbGtM8JbjbPEXD3zxOYMw84JfMPHSYxTwFs748fDC2PH1NsDwdwrA8EFSpPPXvqDxxcrc82Zm5PCsmuTwQsrs8F0K2PGv4sjzL5sQ8AKDOPJ6OxTyH7708U3SzPKdCojx+2KA8ZE+pPHAhrzzJ47I8wfPFPEqxxDyvkrI8S5rbPHbV3TyCWNU8WM7ZPHeb4Dzyrc08ur3DPCI+zzyZttQ8TX3hPMxD2jxUVdA8wbLBPCsTsTxLrKo8K0u2PLQoxDwJDdE8H0PJPBlHvjxb6rs8NgS0PEDgqDwc8qE8fKmePO6CnjxWgaI8y1W/PJC3uTxYhb48+hjOPCHCwjwHkLo81rq6PGOcvzwg3LM8M3KtPBeRujzzU8M8UubkPCQpAD3QQvY8r3D8PMNb7Dy+L9g85U3TPOzfzTx8GdM8lmvePIwS7TyE7/Y8W6PxPCGLDD1V8yA9oH0YPYrvBj35zPI8buLfPL4Nzzw8JtI8rorAPJaIvTyZPsA8LjuwPPEtsTwKLKM88pKgPAb5qzy6R9A8+obcPHRj4zyGGto8x1vAPGXBuDybILo8Kp+tPCUCnDx/hJk8fjKZPBuhljzKRaQ8E8mqPBlPmTySlps8cN6LPAjtgzwRApE8zdSZPIQjnzzNVac8vZqoPBhLqTwuC648ipWvPIsjtDxGf708SqzDPIjZxDz1kLU8EvLKPDHl0DyxMMY8d6XOPMFk0jyhONs8c8frPHMY4Dy8/No8ULDVPEK00jyQD6484gmXPF5pmzwvpKE8bIOdPGLXmzyQTqI8MnuvPDK4szxfWbk8+U2yPAofrTz+Ga48ZyKuPNMDrDx1S6I8nSCdPDUYmjwRnJ48d7ysPJxctTyy9bU87ruuPKrcrDxWBqE8BCenPJYzsjzhALQ89UizPN+9qjwlqKE8C2KiPGGTqDye4qg8kYamPDWQpzz7saY8AijBPE3b0DwMbMU8YkTDPFPv1zw/Rtk8h5TOPDCo0TzvQ908XaTmPFtG2TzdK+A8q5XWPCKSzzyvFOA8dZflPKLF8zzIjes83l/tPEAC8jzGpAY9tTELPbzDIj0UyEQ9l2Q0PTiBFD2+5wk9lt4KPYOnGD2HQBY9rB4KPT6AAz2izv48dS3+PPAuBT0Blxk94wwjPY5bGT3LwQ89qyoRPYPvGz214RM99jgCPT6o8TyHJ/g8etj5PGjQAz2qMw09eosJPcNzCj3G+ww9CrMOPXHHGD1AVSA9FD4XPWjtBz0+lQA9spn2PBqB+jx/Tw89bksUPdATFT2u9hE93x0WPXJwIT1EYx89+p8TParsDj1U5gs9gHgRPR85Cz3eIwU9IOAKPZaJDz1VqhA9eIcLPWBLBD3nLwo94UIEPQYKBj1bXgY95RIPPfy7ET2Cuxs9hPAlPfjIKD2VlCo9d4AtPTIGID2dlBU90eobPd0SJD1UJSM9C78jPTwYKz1IwRk91+IWPWsVHT1f6Bo9zdccPR5SJj28eBI9YgEMPfqqET3E9hA9ZtgPPVo+Dj1PW/08r2cBPeGbDj0IBhY9JGYnPUkBJD219B09dzkSPUarBz3PBAk9Z2kIPabXBj3jqw49aroQPV0NCT1NoQw90ZYRPUi9ED15GBw9oG0pPWV1KD301SM9qpYcPXkQET0cbwg9KYUMPSxOEz1CwRs9SmYiPUA4Hz2T8hM9KLwSPSjnGz31Vh49BbsaPRdhED0yHw89Ee0FPSDVCT3nyAo9iFELPZYwDD21ugs95UAhPXg+IT3jYRk98bgHPfqs6TydU+w8vAEBPSajBj3ZwRY9OM0JPSP7yzyr3KY8dpyUPFdHljyd96Q8HUGpPFlmpjwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6GF5Ty2ATc9kqNrPWZTij1wiYw96yaGPVSOiD3/N4s9/AGKPY+6iz1MOYQ9YkBnPZ1AUT0CrFM92Z9WPYbzZj1GCXQ9xrmAPR/EeD3vkXo9LnmFPTeRhT2BNYw922GdPVKepj0vbaE9WtOHPamCgz3zD5s9qNOaPeb0hz2WzYM9DeJzPSEdZz3DOU89EfBOPRUUTj3j2U49SyJZPdY4ZT30zl49g5hqPQhzhz3HtoI9J/19PUzXbD3qhWk9V59rPUzlbT0F/m09xsRtPQ65bj3lPIQ9XoZ+PW5taD0qF2s9wWSBPeJRjT0Q9ok9ehpsPS6qTD2fd0k992pDPcZYTj3Jx1A9WylYPW2dWj0TA2c9861hPZa7Wz3Xm2c9P196PQ9leD2VsXU92D92PQ/ihz2NjJg9m2WPPVDbjT25doQ9Q7xuPbTdbj1D84E9PbR7PY/7dj1x82I9/LpJPWIfUz2+ml89x0xYPfwLVD2TsVM9i1drPWeVcj2bxF89E51gPWqpYz1X52c9YvZ4PW0Ggz0V1ng9nsyAPWVHgT1KC4M9G+iGPch9ij2aIYQ96Yl/PWmYdz0kmmU9vxZhPahTZD00Ln4938GMPQ0rij3QgYY9WtiEPXteeD23M389ieV6PdXGeT1SuHo99nZzPYUfcz3BEWo9IPtZPRaQTj1rbzo9mfo9PZyeRT2uQzQ9c9MfPTSYIj3KfCk9MMExPU7RPj1QBlQ9Dq9fPbxPWj1CE1g9H+tYPe0kVD3xkk091+NLPVGoaz1P53499Yd6PdPebj3p12M9vrBxPdlNbz1vvWw9nvE2PZsCID3sIB89CBglPY2GLD0aCzo9FCxTPW5/Wz1kekw93EZUPdZtcj1HcXQ9uJR1PbIKgD0UJWQ9dh5gPefqXT0dhls95AdfPeibXz0Mm1E9EIJOPRe8WT2z2FI9NOdEPZBUSz0kBVM9YS1WPQaXXj2Irms9aaJ9PeBkej1gt3M9Rl6BPbM2iT1D64E9vPFzPWywcz02in49MoSBPVhgfj1LDII9jMCUPZVgjT0xjoM9s01zPQ1OZj0ZaGM9ldNqPbWEXD3RwmM9989sPQEyeD2s74Q9+s2APT1Obj2z8HY9eOFlPRo3ZT2mlnk9Y0p/PaFrdD2++XQ9KQ5mPYsEXj0xnlo9dDdOPddMXD1hsGA9twZvPaHLaD119E49HrpFPUocUT02JVo9m/pZPQVhWj36SE89i24yPTxfMj0t9jE9BIgyPUDlNj1wPzU9MlY4PcWvPT3wXkU9g1RGPXbEPj3xYzc9nJskPbAkHj2Lth099iccPfopHT09VRo9skUnPXtAKz1j+TM9XpU0PSSyHz0UPhw9MPQRPWH2FD0/Zwc9EvDwPH90zzyUass8V1TCPGukwDxvpbU8TFXDPE0VzDysjNs8n1LMPA4ZwjwRAb88Ake7PKQHvjxyRL48qr+pPPQApjwnb6w8PiK9PN7rvjwzIsc8e0a/PBneuTwb4LE8dPC/PNnqtzz28Kg8GmOxPOy4vDwrdLc81QOwPFHurjwx0rs8IJ7CPBnRyDwifcs8DHG3PCuhyDxAgck8sNjSPKRw0jxllcE8hC3EPFiHszzF98k8eL3QPPvAyjzjXcU8MwGyPKPAtTxQOLY8Isy1PHGevDw7M7A8e7fNPLp71DxwTNo8M3viPJzSxzy47qg8+E2nPBRmrTwH17M8dC60PFi4qjwpqas8fD+2PMPRsTx0xbE8Zgu0PAIvqTw0cKM81Uu4PLgawzzuYdg8Z5DrPGpfAz18QPk8NyPsPKQ/3zzX4Mo8KcDEPCxPzDzpecc8Eh/ZPC7D8jwc+/Q8qbHxPGJhAz2K4BM929oVPbEZ+Tz2UNA82P/HPH1/2zx898Y81EjDPDeI1DyuGdk8KUvXPLc9yTx7+8c8AWOyPM3rvjwZXeo8Vtv2PFtkDj0XAOg8VAy0PE9Wqzy1Ja8893+4PON3szwHSak8kJeiPKsVnjxq3p48bZ6dPExolTwblJs8ZCKQPDb3hTzYs4w87qiTPLISnzxKb548UsCcPCkepDzZiq08jU62PKZKuTwn/6w8i06yPDxXvzza+sU8ao6+PH4a0jy32tI8Q9LRPG1Y8TxYt/w8kI0KPSFw3Tzv0MI8dFa/PGlWsTzIr608pVGnPLHorDxfIKk8kwybPEW8oTyzGKQ826mwPBAwrTy3TKQ8QUOtPEmYsDxSoq48DDClPE79qzwl8qA83a+dPJQkpjzu1qc8MNOkPFonnjwOqKA8feOkPGwtqTxy8qo8pNCvPG02rjyYDr88fOvFPE/0vjzoxbs8jk6xPCQ6rzyAbq88wPyrPGAgqzx5mqs8WQ2zPH1bvjwhCss8WqbePO73+jxxBAY9VgcMPcvt4jy6iNc8zv7oPOrO8DwYd/A8aJHtPBCX7DxImdc8vyHLPNBVzzxYzuQ8Ph3xPKGqCj0wryE9L6wkPb9fJT0+hy090TMfPW8FCz3ocAE9MGIDPRXpBT1RcRE970MEPe9qBj3yRBM9ezUUPd2MEj1SRg899zQbPfMFHD3FcR49OpYVPaOCEj2MzAo9ZFUIPWBeAT1PMPY8din3PIz3+TymrQM9/Q4GPbpoCT2d7BM9LFUOPUViDT2IBxA9EcwePRI1Hj2kRRU90hsUPbXuEz2nTBE9ZQIQPaqeEj26bBE9axQIPaD/Az3+Av48MQQLPbuSFT3R2xM9fugDPZgtBj1tAg09TGUSPS1aHT20OCI97+EmPRyJID3kFRA92oYLPShqBT2uow49hf8IPQY9DT3Eiww9nmgXPdulGz0wGxo96TQbPRl9Gz20uBg9gZoXPTVmHT1fCSM93aAjPYWHIz1MHi49ScMlPQzPGj19mhI9OnUQPetjEj3siBs9954UPfpgGT2lSCo9em8lPcy0FT3doQc9k138PC5KBz1a7ww9g5QQPVkOFD3GPhA94aISPfY7DD2I/Pw8iTECPVp3BT263wA9MCX3PCvPAz0BNBA9nroQPb13Dj27fwk9OaYSPVbwKD3zuyU91rAgPW89Fj3I5BM9FcMPPTDcET3usBQ95bMbPe98Iz3FxxM9KrISPT2qHj2T8iE9IMcgPYp8HD2hRhc9ftEWPSblET2s3Rc9qHoUPVsC/DwAvuU852MEPYx8ED2J4xM9GpoOPZzyAD2ctv48P9QCPdJjAT1XCAA9EDQEPSzA0zwkzpc85u2OPNUIkDwnBZk8z4GgPLuWojxOWaI8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4kSgjyCiio9iUiKPWqVjD3c5os9cJ+OPcNyej2zSmI9enp8PRbJgD0xB4o9Ja54PV/SVj3k/F89SaV1Pcurcz2q0209M6FwPff+gT3p8Yc9ufCVPdhWlz1SVZQ9wiiMPcTAnT09boo9cuNmPQJ5cz0xp489hl6TPdS2hD07Lm8943VlPZeQSj0M20c9q+dIPca7SD23W1c9t85GPcEbVD2HYm49nRtqPRlsbD3/RYY985p/Pfwscz1JtHU9yh9uPQp2YT0XTHY9S7NuPTqSdD2nvXo9BjB3PRYScD2V1XY9CtF9Pb8JiT0r2os9dqOIPfoKWT1m/0Y9VDhJPVlXST3wtU89k2dgPSEjXz11n1w9cANjPbSqcz1ge209lH9lPZAegT3CwoA9LuJ+Pby/fT213Yg9JniOPXNMiD2p53I9dt1mPcx0UT3pulM9oophPYwsfT0m/Ho9aoh8PWXAgD1oNnU9+pxjPTnBfj3GvoE9j22APeL+hD1KJ4A9gIZePfs9az1wvnM9RkR0Penkej2OZng9jr6BPc65fD33ioM99gmHPX0qgT0Kiok99WKKPYKpaz0oPF89RiJVPbJmWz19uHQ9b+F/PViYcD34V2I9GpdPPfyIOT0lQTg9bkhJPTAYaj3rk3E9ctN0Pas6bD3+LWc9DcVYPSkwXz0O9lc95GlEPXBOQj3XTSw9LTUkPXIqMT1FQy89ARguPQAeLT2R7Dg9h4QvPcJKNz0JwEE9efNdPY0HZz1kGnA9jw53PSYzcz0wCXI9moyAPQjEcT09+lE9Aa9RPZpVVj3UyE495TI/Pf/QLz1y+zI9SO4oPdyMMT3TEjM9dfo8PR8mMj1VTj49Dn5UPaPWXD0orl49lJZlPVukYz2dnHE97Ox9PQ/qez2TDG09DZ91PcF4gj0Zm249XY1iPSRJYD3SrVw97QhQPQdzVz26PVc9b6BgPahBYT0xAVo9O3p5PbSanT37S4M9u5t/PSiuiz0dh409UVeMPdWYiT3ABoo9DdiMPQoUhj2BUYQ90RyIPU+FhT2cv349rZCEPehudz1H9XQ9IOhsPQUwXD0OLGQ9DOlmPR42Yz1m9F09nd1YPcDUYD1h7WE90HRkPe0CZD12pF892SRgPaRBcD1rn4g9AlOBPXPTaj2z8lU9/YddPSq3dD2nOIc9MT+HPRFWfz1BB4E9up9lPZn0Zj2ajGs9ZMlqPU0QTj2SCkA9abU8PaezNj1+bj09ntFCPXkTQD2ToT490Mc6PZuhNz1rkUw9v39VPUeNUT2RT1I9DYMqPdMqFj2P3RA9TssNPQVb/zxnrwc9h/0SPTStEz2/bA09xQ0QPdkZEz0NwAk9YycMPaB7Bz3EWgU9WSP1PEQh1zydoLE8lSCoPF74pjyMRLA8AH2xPEkTsTwPsrg86+3FPIeA1zwyQMY8/ayxPFvTtDx+obI8gDarPNzanzy9R5w8b9yuPOJ9uTyUQL08bpK1PHJEtTxRlrw8Zm7YPNAW4Dyiauc8HLPmPHetuzycD7Y8axTEPMey0Tz3PsU8AlnDPAobyDw248g8aPDFPIr7xzw9Bds8lRPaPAwmwjxr5LY829bYPGFS6DxtJOI8MYTfPGRBxDxY9Lo8Why1PFZCrzzz2bE8cj3IPMChxjwyk8E8qsO3PD/HwTw0AM48nLu/PL6btzxOs7E8za2dPM2YmDyfQaE8WM6mPN0onzwBqZk8qDOfPGMcozyXPKc88K6yPPMFwjwf8so8jlzIPDcv0TwFUe88THXqPI9d2Dzyi9M8rhG8PP7VxTxNaM08US/GPO6cwTz/2NA8hXToPNfSAz2Cyww9TT4FPWl0AD34rwo9vSQVPQZp+DwXqt48lILXPBhb1DygTtM8Gz+/PIEBwjwvLbY8qeWuPJB9sjzdxsA81fDJPD4E0TySxdQ8kD3xPCTr/Dy9PPI8cbzBPEwcqzzjuLc8knm0PPpAsDxFSrc8LnHQPKwNwzxKtak8VhWkPOlfozxq0qA8Gn26PKNWrTxAq6o8lUabPBJ6ljzJb5U8Be+mPAFPrjyPzbU8d7LEPN7QxzxjYso8VOTHPJyMvzxfyMM8pNrTPDnr2DzRAuI81cjHPETi1zyZkOQ8aX7kPMyL4TxiOsA8POG3PKtj0DwLQ8U8gW7BPEUKvjzVpL083HayPHNYsjxqUa08vcmqPMjLqjyOYLI8pMa4PMrutzzVKK48QCSqPJMYkzwv5pw8layhPC1gnzxqS6M8k/iiPCB3ojyOhaU88tujPEH1rDweE7k8K226PGgqtzxfwMU8HE3PPFgVuzwCaK08XGutPH3LszzVIK883OaxPOz4rDyiycc88R7OPGE+2Dzlc9s86DjfPCll7zw+ugQ9L64GPY35Aj1HBOA8pcTUPOIj2TzjL9g895nYPP8E3DxaZN88StfcPJ8g2DwEzvI8CLb6PNccCj0pEhM99PAfPW+WKz0JSTI9inowPfXPID18Mgg9hO8CPadGAD1ZJQI9nHYCPXmsAz04Ag09l9AcPQxWGj2QmxI94LISPcuSHj0+Xh89gtAVPWyT/zyrzvY8rL/qPLMrAD1n+A09Ia0DPbXj+DzxZ/s8jgIHPWHIET0ZlhM9xFEFPXxF5Dw/B+U8bE72PNHyAT1iegI9qbADPSOJBz1nuAo9kYEUPVxrED1MgxE92QgSPSOeDD2Q7Qw9RIINPRN5ED2n9RY9bJIWPavQDj1B+hA9Il4VPTIrGD0h0h89MYYhPQlKFD0YURE9ZtIHPSeiAj2GUQc9WswMPeGmCz2KRgw9IrwQPdBzFT3t4Ro9m3gnPbIGHT0pnRc9UT0RPbw2FT2s9Rk95s8ePbLqID3CYiU9D4c5PQHyRj1oNCk9mN0VPbbeDz0ChRY9iKMePdQJGD0ueRo9myojPe+IHD299RY9aE0DPVn97zxPyAo93K8ePatwEj156wQ9E5QKPd3iEj3TWhE9XsAJPeKjCj05Mwo9KKYLPUfhCj3OiwQ9XwYFPUkWAT1NevU8Jnv+PDoQED1haxc92HscPfFLHj0V2x49mkYVPYpcCz3sVSQ9+YolPUjwIj3exBw9SaMPPYZiCT3cEyU9lR0zPUfuLT33LB49sJ0FPX2B+DxdBgk9mHwEPWGuAD1xTeQ8ySjlPPr/AD1pO9k8SiTHPFXSyzypKMs8h8vfPLKI1DzaO608ZfqfPOmNlzzaIZA8oP6QPA9QjTxNfIk8MDeKPGHvhjylpos85yePPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/ZI+k8zjAzPVrzhT364I49lVOJPRPfbD0sHms9K6J8Pf1vgD2lR4c9gpqJPfkphD1EDXI9r0tiPeBzbz1UOHE9kbh3PRiHdj20dnw9rmWCPS14jj3Wro493L2JPbPmiz1dpZ89wGKVPbfUhz1t9oM9CcyIPacSdz0r7WA9gFRMPXudUj12HFI9ntRJPcopRj33FEw9Js1aPSJ7Yz1k/mo9hGh7Pc4zdj2m24I9iGuQPUmsdz2W0nA923taPbZmVD0v63I9YsyIPeKvhj3NHoY9bZCDPSZ2eD1IfYY95/eOPUYYkD0sW4498veBPXw+XT3oAFY9wY5UPTW3ST11Vkk9aX9IPeJXQT1YxFA9IK5XPUMWWT35mGg9vZuAPQaodT3IEXE9SYCEPRPFhj1/U4c9c+B6PcMoXD0waFY92O1VPdbPUj1LxVs9xuZhPdpKYj2ywoE9+uWEPbJ5gz3USYk975KEPXdxgD3Dj4w9VK2IPT3KgT0lS249j0htPWmzcT1hJmY9qjB2PY7agD2sk40918mHPfChgj2EL5M91i6aPZiMlD0Dk4o94JZ9PSV5iD3xb4A9dA9zPYwIaT06yFk9Ox1YPYqZRz1nPEI9/BFFPdbjRD22GUo9ZE5RPVfwXj04EnY9C01yPROVbD1xNmQ9IRViPSPtTz1fEEc9jwJLPQ44Rz1qMks9Z9o1PQb+MT2wDz89pas6PZSxNT139S49NudEPQqKVD2u/k49tMlTPRbYVD33FWQ9s/OOPQcEoD1MdaE9T2SNPWwyZj35uVk92dJpPRbdVj3qk0s9A6FNPVqsTT3LukI9OaQyPVEqQj2H+ko9Lk9LPZ71RT2Tw0o9A05QPeYGUT0bvFg9P1RhPaqJZD1BQFw9lVxnPUP8hT3VEI89N8eOPXbxeD17GFc9jg1IPXTaRj1PhkM9oGxKPfG3Qz1zf0s9yo9TPSDLWz1z+GA9Owl6PceRgj03UIM9rE6BPaJ7iD3LFo491YOOPc2zhj2LKXo9Yi54PcINaj2cB149r6xbPQQqYD1EzW89B39+PZ4VaD24yFg9Rr9lPVbsZD06fmA967ZSPWyXWT0jYFw9dWtOPZgkST3w31w9NNtjPUq8bz14z209Za1yPVHHfD3mlmY94UljPfqrZT2tlm09L313PS2Ocj3I+nI9Pu5xPb9QYj2B2VM9rS5PPRWcVD31zmE9g9dRPWkQUz3+DVQ9Le5RPbJpUj1fBUo9nJQ7Pb3aMT1OZjk9uZk3PSLhND3U9ks9fvtaPcLiUz3/BT09dLYnPTk0Kj0t2SM9ZagCPXRu7zwRJs08AMTcPFRW6jxJ+tY8jnzKPLfl0TzBDdo8h7vmPId24jwO1sk8KivAPObEvjy0z608ZXKpPAB6sjxQE648YJy1PD85uTwDErU8JZCyPHPJrzxA8K8834OqPGUdqTxMhMc8neK2PDyBojybFaU8G0CoPHyGqDz4h6k8uf+vPKmgrzy+iLQ8rmu8PEYlvTwm1cQ8skXEPNRlwTxhZK88Y3GvPFA0xjypWbg8R+S2PNWPszwyjro8rwbLPKtmzTwwR8w8PdTNPPp11zxpyMc8y/G+PNG6zDxxleA8zYLSPJjfwjzd3r08AkTBPEGazDzTSso8T0K9PECCujybVr084bq8PBuWsjzxLK48j3m3PPSToDw4QaU8GGinPKgalzxU/aE8kNacPCyaqjwNo6A80NuWPN0tlzxp5688RnzJPGS+5TyyHgk9gAoSPcCX/TzfWO88eqzSPJlzyTxFCcY8ULTDPHr0tzzbhsA8RfHIPP3owTyhZ9Y87ZrdPPJ57Tzs4v08Osv/PPfT+jxPCwI9KyAEPVXJBD0CZ+085nrRPLwpyjy3NM08Pm/OPK9nzDzRtr082JyzPIoQqzxpXaw8JEC7POqWwjzdmcY8RQ7BPCvT1Dz++to8q+rTPBhbxjxPbbs8iUCyPGtJvTypHcQ8I8/LPEhqtzwXIqs8au2wPNdkpTxhRKA8z8alPCKtpzztVq48a0qxPAlTsjzsaa48i5ivPCVnsjyWMLA8bxTCPN18vjxWWbs8cSevPPopszxSf7k8a6PPPPYQ4TyAhOU8Jy7dPFum1zwV9Ms8rAnGPEl3tDwqALQ8dlrDPCazvzwa4sw8htzGPF43vDzU1bg899+wPEBJwjydf7w8RO+rPL9/oTyA1KM8+Y60PMFmqzyUaJs8aluXPGQ6mTypk5o8MGCgPKu0ozx2HrA8iT2rPBGzoDy7tqE8L/2sPPZ1tjwporc80Ou6PBLjujwEo7Q8u1+yPDmbujzZ1b088iPGPFHovTyMHsQ8PJq5PC+sqzzWOrk8TPzTPNrO2Tz19Og8EMftPM7O8TwFPOc8/qrfPIZZ4DxE5t48WHjOPCIW0jyBA888UdrIPGA/yTyXTM88JkfZPGEv7DzTXfE87lL+PHl6Aj3ahA09EtkTPYvgHD0LcCY96YEtPd2uKT1TJhk97DoMPaRuAj2Tpwg9So8KPUUFCT05VwY9yYkMPZsEGj35lCQ9VlsZPXb4HD1IyCI9Uj0MPYuL7jxrG+08p4UBPcBrBT2Dmgo9pnT+PAsP/zzw/QA9exIFPURaET0uEiI9nuwJPVxv6jxDheQ8xirtPFXE8jw7vv88BhQBPWQOAT2Jh/s8SjH0PCMkBD0OuxI9dvYMPYF5Cj2jgwY9IEkIPaGoAz0FbwE9HAgHPYJn9jyTRfI8E4PzPHjZ/zxZUwY9wD0EPevKBj3uexA9ysIPPfveDD0loQ89I1AKPRuKAD3mcAE9gOEDPc0kFT3yAyA94PofPYZ5Hj1xqxg9Ww0WPa2HDT2xkBA9mVgcPd8wJz36tx49CzQcPVXXIT0nJjI9sV0vPSrVIz19fBY9CLsTPWSeDD1cyww98sQQPfwiCj3q5w09frELPWS1+DwA6/E8lUIUPbsgDT0tRhA9i0IXPY8+Fj1AFBM964ELPWlBEz2vkhc9cbcNPbI1CT0FPR89P8YiPXgqBD2TE/886x/7PERpAT2jAQ09y3YRPYAHCD1xRgU9sqQAPaaNCD2t8xQ9LMUPPfVVGT1vGhg9tUAVPYmgDD097wU9D8QXPV/eDT3K4gw9ZwEPPVB7DT0yzQ49BpwSPT9c7jwSztM8LwmyPKR4vDzuONE8X3rCPMuvvzw3MLw8KkazPLX4rzyuc6I8SEuYPGX0oTw3opw87QuQPOiUizw8n4w8fCWbPDRpoTyJZp48Y8qYPJ9klzwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/1RUaPZveZT2mpXw9Gfl2PZ8DdT3Xp209KNdyPfmLhj0jwoc915OZPZuOlj0Kg5A9V3iHPaZvaD1UyIQ9j4qLPXnMjT0vIoo9vAxzPVxzhD07Qp49jfOfPXLknD0rJJ492c6bPetNhj3Jhos91sqAPRjdfj2lknw99wxxPawAXj3ijl89trxhPVyWZz29ZWI9A9NxPdQ3Zj1cJmY99Q56PTeWhD2xKYo9McKOPcpzij1ikn09bMZzPQX7dT0ZPoY93J6JPQH6kz2zUJM9GQ+JPdVSgD2YZXY9cwaHPaP9ij39i4Y9SmuDPbnMfT2n6mo9vaxTPeTaUD1/SlE9vgJRPZeXYj2M+l09C553PZ76gj0ICXU9W4NuPcaVXD3WeF09m8Z3PZ8niD1C9Ic9Uoh+PXs/YD1O+009U6FPPdYXZD1bRns9uOl9PZcHgT1czm09dshjPa+TeD0GRXw921uDPb39gT04mW09nnxbPRrnXT2nyGY9Kv5zPSVRhT0RsX89pDeIPYjPgj2V/YI9eLqKPWxHlz3BO5M9/AeMPXUcgz0ze309EAh3PXuidz1AToU9Tx5vPb3WYz2pWGI9PBFUPSdJRD3RwTw9MEI9PX+oNT1M5js9ZRZSPQBTYz154GI9xHBUPZEqVj3NhE49+tpSPccfUT1tBjo9O8w5PRw+Nj1Fsjc9aWI9PXzoUD1gDlE9OztUPaV/Uj0b/lU9+5RbPT2TTT103VI9SRBYPXvkXD2q3249xbyAPV2uhz07bIY9f/tqPee4UT2XW1Y9o3RTPYc8WT3NMGE92whRPWvmSD2byjE9M6MePSfGIT0BeC09tMVDPSqmUD0D1lw9g6h6PcwhfT3Z9lg9bcFVPQB7Tz1tC1U96qldPQqJYz3/flo9b/RLPamLOz1VZD89s81SPeIQVT2lJlQ9U6hfPY78Zz2mcGY9vt5gPeYGej3DRIU9I0OFPQLAhj0keIA9kfJsPWFwgD1OEYg96piJPRy/gD1ASWI9YhRNPXXoUT2401A9kFFOPc+1UT3HhGw9IDp4PQCgaz1wuUs98fNNPeJXRj1l90k98KhSPcvTTj1atEc9zGtLPdmbTz3WbmM9LetvPfLkYj2f+mM9PhljPbaNaj2oK3M93X9tPTDebT3Y4XQ9vVp2PdAWhD1Lj4A9DwFpPZDPWj2eB049c69FPZGmPT2gWE89L/FlPUjIaT0fsmM9iyJdPUKFVz1jblE9NPZEPYQbMT1xDy09Di0zPfqMMz2xjDo9GOdJPZI7QT2ojkA9tEhCPR9vQT1nOC09mVMjPcBgFD38Rgw94fMDPTGK4TzOftM8BDjOPED5yzwKgrw8LV2zPBB7sTwo1L88/GPAPMARrjy2jaQ8pB+iPKOJvjx8Dcg8PJ21PJImsDz4EK08fBPAPNP8pzyhn6Y8MsyvPN10sTxujK08W0eoPHFhyzwU7LQ8IeauPKlDtzx1CLs8oGrPPPSA0Dy9gLA89GSjPBcEtTxenbs8a67APOD+xjwlac08A+bGPEiUzDx5k888n0G4PKy6pjxLfqc8qh2tPM/sxTzKcc08f97MPEtfzjydkNk8DJXkPJWJ2jxJ5dM84X7OPNeawDxAgsQ87vnEPJ7dxTwNick81LfIPOf00jzaGOQ84/LePMk5xzx1qcI8YpfIPOhJtjz3J6s8G7+XPJDpkjzt6pc8xriqPGcnpjwlmKU8tniPPDicjTxpApo85ljJPA//3zyIH+M8Auj7POaIAj0/uNk8YOm+PDFLujzYnsc8QbXMPB2byzxVR8Y8UuLWPPKe1TxdENs8VWnnPHeD6Tx0e+08BwL0PBscCD0REQs9eocAPfoG/Twbwv48lFPbPM5uyjxmF748eNy6PNlzujx2TrY8IySwPMsZsTz8e8k8RkbbPKzA3DxmUN88egnuPDNa8Txg5t88Tb/UPO800zyPtsk8P6y1PGRmqDzh26Q8xvatPKhxszwhhb08AUuoPKmypDws5aI8mBiiPDp9oDyqDpo83T6iPIJBrjyOVL48HG+/PGiPzDzrU+E8V//MPOqUvjz0hrs804+4PKnBsTz8PbA8crbEPLzKxDzOnN4855bvPO4V8jxwSNE8FHrGPK1mvDyHgro85jC9PDD/yDzd9bg8FlOpPN9EnTy505c8PqenPBDbrzyp2rs84Le4PKgjvTz2s7Q8EB+1PNEyvDx3D688gP+dPHu/nDwhrZ48+TqfPHk3ozxABqQ8JmOcPGDoljwxUZU8W2uWPCYPnDxX+aY8puO2PExhxzyGdNI8faXPPEWzxjwhhcY8LsfGPJDlzTyDC9Y8viHUPC7MxzzaE8Y8X6XaPGEv3jw6b848rxDPPLLE4DxD5PA84LbzPHMm+Tx4v+I8VSfdPM350TzS8tI84JvaPMs84jwNbeQ8T/noPOAP9zyA4v08k5YAPfRKDT29BhA9h08ePYIsJz129Ss96XYpPaK/Iz2VhR49xZwMPXDTDD2FKhE93SQXPRtwFT2TkBQ9UFUXPf3nGz04ox49eVkiPX95CT1vgQk9neoLPV+CBT16ePU8JB/9PGtt/TxAvAA9p8oCPe1Y+Dz0AvU8VNjsPLmj4jz5xOg8T3H5PHok/DwVpe48Pgz2PBnw/jzaRgA9LxP9PNJe8DwFLPM8fpn8PLGOAD0m4QY994wLPfYVAD26Pvg88uQAPeDn8TxdEvY8rXjoPKtI/jwEqAI9pQkOPX6ZCj2irgs94P8MPdigED21fg894ZEVPSjBGz2n9Bg9VA4dPRb3Gj2gbRE9FIEPPZz0ED1sLRE9ongSPU81GD1fbRU9jIEUPcLBFj0QZhc9ZHUoPYfxLz2/xiE96awrPTs+JD3jhxw9asQsPbyhMz38cBs9JQgQPVZcFD3mKRg9nlsWPW5fEz118ws9szQJPTiEBj0kdQ09wDwOPatg/zy/BAc9se4TPbKXGD2EXh09tnMUPcMvCz1g4Qo9IkILPTAyCj25UQ49+oMUPbzuED3mpwg9cGMHPZrIAz04vwU9QQwPPYOFEz2uYRk9yywZPQsZFT3nSRE9WkwJPSaSAj0MrBU9dzYcPTVXEz3+5P48vaX4PBB1BT2S1Bs9MNgfPTAIFj0t7AU9XNLuPBRN8zzV7MM8iEakPJZcnzwyjao8uAy5PMORsDxU+aM8th2jPPIWqTzI96M8YfGJPMnvbzxplIM8c82BPBOCbTwjD3M8W6aHPFeTmjzg7aI8M/amPEOtqzy/P6w8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/ulVgPL9K8TyITFA9/LBjPdZGZz3xn3k9DCx+PYY6gz3b+ZI9ZU+UPZADlT1Ko489dPyHPX/jdj2y4H89zF6MPRdBlT3MdJE96quFPcAQiz2ppJw966CZPcvAkT13xZs9xpqUPe9nhD0cH3w9IsyGPbqNiD2GuYc9VmCKPVVhfz0gAnI9PTdoPUiUXD1N71094axnPSTChz1+aYw958mDPW+ujD2rgYw9hjWIPZskgz27CYI9IFqOPRgrkD3CnZY9XV+XPYTKij3gYZI9pySDPcSbdT0lt3Q9TtB0PWAngD3SbWs9OEhiPWw0Xj2fEW09xY50PWUxYz1BIls9vjhQPfteTz2UdmM9FVp0PYK8bT1S2mw9xBtkPU15Wz0V1lQ9G1RaPbYhXT1uOlY9AcJWPbdfVD3YMFo9f9Z5Pb8oeD2FP3U9RbOOPbuBmD2HLo49HcFyPY2haD0DXm49G5t1PQ+Idz20umc95VlTPZaMZD0xcXE9pFqBPbTaeD3STm09v+t1PU0VjD1paXQ9qDBkPeeYcD38+YA9PJKHPbrQcD19/WA9/81nPfsKaT1gAGY9ebR4PSM6hD2YN4A9L5p9PU6Agz3icHk9AsFaPdlBUz2l+kg94qxAPRKBRD0aQF490wdYPbmOUz0qtFo9jtlZPRO7Rj1RaDQ95y40PVCSNT2yLTc9o3Q9PY/QST0OW189w/J1PSwRgT3IyIY90J+FPSr4hz0YGXE9T7xqPUfBbz1Rr4M9GbOIPSoHhD1Olno9Dc91PUhnbz3rPWU9mQNjPVEfaD1tM2A9iyFOPQ2TQT2u0Ts94tU5PaSgMj131Tc9mI9HPaUgTD2aEFI9yOdRPWjnaT1lhmI9R91QPTOeUT1j2Vg9o7tjPSQCYz13Akw9LEJBPY9CQD1dD049wu1jPcD9aD35HGY9FPpzPV0ufz2CKH89UTt2PSwLYz1SamU9JCJmPdEsWz1zd1o9aR5ZPUkiWz1qbXI9qe5qPexfWD2IXVY9v4hjPR+kTT0+XEo9/DdfPYXCcj32rHs9XhiAPRITVT2RfEU9xY1NPTSzWD0VmlQ9lydXPe0UXT3lsVw9v51iPVi0YD1J9lk92elZPbiTZj2OcGI9W6llPcnYYT25bGw9IXBqPdJDWT3PQlI9TtpmPeP5dz1Z6YU9SfCIPTErdz3xE2E9A89bPTlYXj0gelc9M75iPY+pZj1c8V09RopSPfCKTT2vmkQ9pktNPTrZRz3B9DU9hMQuPXzlLD2mRik9rL8hPT6LMj2aGkE9Djo6PcwBNT2PjzQ96U4kPSY4Fz26lhU9HWcKPTeTBD3v3f08OUTrPBU30Dxhucc8sZG3POG3sTz5LLI8ufGtPBNZvTxeXb089ru1PMCutDwoAbE83u2vPBStrzzm6LM89zq3PL46uTzaXLc8w5O4PLtmpTwGEqw8zFa4PMJBvTwKpMY8Jje+PAnyxTyqnMs8q4fOPECVxDyf0sE86Ui4PEGjtTymqa88QJqvPBqJtzw+h7E8yj/CPPTftzzz8KU8pVKjPJisoDxd7Kk8SM6yPFuYrjyMwrE8ctOyPGtjwjzWmtc8w2zgPLN23zzBBdg8gmTTPGai6DzS4sw8c6vKPJrMyzy+fsk8FHTIPMkj0DzbotA8QLjBPL/0uTyiOLo8DQG7PF32sDyb8KY8VquYPC0MjzxtY5o80BefPC9nsDwqpLQ8tnqyPE1qsTwGwb88mbrEPFkG2DylTt08lTPOPJAhzDzo18o8/5bHPCbuuTwl0LY8hFu+PIObxDxLW8Y8VF7GPDjYyzx71NM8sjvfPOxi7zymAv08+xACPcaMAz1UIxA9eIgIPXU38jy0x+w81TngPIwI2zwfZtw8EdfGPH9JszzPeLQ831WxPJYUrTwUuLE8DCzFPFgbzjx2mM8831vVPOAU4zwTqfA8rC/oPH4T2zxyf9g8Yt3RPDqruTwvFKM8zwGRPB03kDy82ZI8GUmZPP0FizxNRZU8/OySPLKmiTztnI08K4WjPCtTozy2P608+QjBPMsluzz7fLc8AkCuPEhWtjwu4Lo8Nk+zPLC+tzwHAbk8aJXCPJOc0zxhiuA8N+TIPNSZ0jxi5tQ8qvzUPJ4GxDympLY8j06uPI90tzww5LQ8sEulPLDwqjwnQKM8ifGtPCHJqTzn+7E8383CPA4vzDy1nsc8vz+uPMG1rTyrd7g8l3q1PP5zqTxmuac8uHOoPOMDqjy2VKw84aKpPNoPqjwMeqg8MtejPP15ojxPp6U8KMixPCuGqTzvG6g8Mke0PIVzujxHds08UabVPARM2zzFGtY89TPUPIbk1jxvmuE8LgPrPH4/9jxR2fo8WeDmPMRX5Tw4U+Q8+bThPIuV3Dxl4PA8ts0FPV6KAj3I/Ow8eEzaPGzk3jwd+vM8cZT7PAhP+DyeP/E8j0v+PH0vBj1t+hw9Z54mPfLyJz0EvSs9O0QwPXVVKT0nRiU9mI0dPS49Gj2KIB49VJIrPQ46JD22ohE9u9kMPQTZED3LHxc9CFcaPZ1JEj1qFQs9PkcJPVPaAT2yT/Y8kDjqPMw42jyKReI8lXPvPPM2/TxsrQU9nA0GPawb8jybKeQ8/OjoPPIUAT0N0Ac95XQLPYjDDT125Qo9U6cJPbGEAj0K7/c8fjYBPQKf/DyF2wg90lwNPT5xCz1cjvY8QDn6PMaZBT2TTgU9rccDPej5AT1f7QM93VEHPVfoEz21jRY9naUZPaqTED0s3wk9XiYWPU6bKD1LQiI9USoaPQeqGz3HRR091tgQPdCJCz0owgg9PqsGPcQFDj0T1ic91GEtPeT2KT3z2iY9GbAiPZneHz3o4h89HjISPaKuEz2uchI9ygwTPdURHj19BRc9IWEIPfwpDj27EQs9g04SPXP5FT0yHhQ9MmkbPdJ3Fj0hgg89Db4KPaqLCT3h2wY91g4QPShBID39OSM9pyElPRQDHz2ZSAk9IMMHPbLvDz0uQhU9BYsbPbQrET01WhY9Q4MUPSVtFD3fzw89KZoHPc7kDj1pYh095OEUPcsEDD39xAg9/ycFPUm1BT3RDQo9x2cMPVKXAT0AnwM9YGwBPY3lAD2Y9A89TssIPV+0/DwDf/c8T5bwPPX/3DwDmcY8rjCuPBbDpzxlU6o8zwOwPBJCpTyx6KE8BjurPMiPszxpK7E8dImaPBDTezy6r1o8l0hjPDKVYTyivWA8ist5PDT0kTwq+rM8jlDDPCMtwjwGb7w8zOa5PAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/rUsgPQ79Dj20fSc9NJNlPdQTgD330nE9R7t+PXAVij2JFpc9ji+UPfbskT3GbI09JQuQPUm0jj0ywYg945h6PTKpcz0OmYI9fBuDPSDXij1Ccpk9ln2KPUtGfz0yIHI9ZJpwPRdGZz0sImY9MTyAPe5ujD2CQJA9tmaPPeE/hj2Okmc9cm9rPURnYD2sbHs9zGOKPeTpjD0nvIo9Le6LPT1YmD3WOpM90xuJPYgQhD3wEYo9zk+UPTyElj3dZYg9CBiIPQZijj0V1I09Y4qGPW0hcD26wHM9DgN+PSt3fD3gKHM9bEBTPViGUD3cY2Q9LCOBPY+dhD3BdnA9+oVbPYHzXD3dMV09yfxjPVb4Yz1hSmo9TSJrPW4IWD3JClY9ziFRPczoRj04yDg95vM3Pba4Sj3Z0lg9wq9mPVj8dz0zDn09UGd1PT3ljj1bpps9us6LPZDwZD3GLGw93ehXPRAPXz2Jz2g9y0ZuPZcfbj0JE3o9rNZ2PQ2/XT1bnlo9iCFmPZefXz0oG1s9qRtTPR5bUD2bclk9UTBWPQcLWD1ehls9fSZlPckicD3/3Gw9mChhPUCOcT2jh4Q9OjWCPeYygz1eIIQ9OUZ2PX92aD3xkE49yMZKPXJdTT0vTVE9IMlfPSUbcT1l1WI9o0tOPTVGPD18ZDs9CTNDPfJfQj3mHUU98T5IPep5RD2zkkY9g0BfPZ7zcD3jSWo9e3yAPVVdhD1sw4A95PR4PeSvcT1pZ3A9s4FvPSH8cD1NlGo9g1h3PYrciz0O+4g9gQdzPSXbaD0OUFo9RYtRPctePj3KuUg9fmZRPZANVj1wrlI9nkRlPVHsWj38t1w9pM1tPXtYbz0maXM9tAGAPaebcz2pn1Q9EbtMPfmfUD2X7kY9c1pBPaqjWj2ur2M9hmJfPfaIYD1xDmA9l/1hPeWkeD32jXQ948hXPae1Rj2ihkI97QFBPbwSTD2CcE49U+BNPeodVz1Rc2c92ptmPfzcbD33F209OxxmPdNuXj3JpG895WdsPXCgej0yBm89xllqPTbUVT2tAFE9nHBPPYxuWT20xGE90EJnPf/4YD3pe149iL9aPW3VYj2EFGY9Uy5iPd37bD1HH2w9aTNrPWdUXD1IyVQ9kOtQPbVaWj2ZnVQ9UzVOPbuoYz0TeGs9WkVrPf84cD3iOnE9wfF4PTaabz16H3I9Yot0PSPXaT2f5Gg92itPPfPnOD2rTUQ9Eb1LPZw6Rj0pKEg9mQI4PcEHLj3z/iw9eTwuPdwkJz0rtyE93dofPfZeHz1HeB89b4soPZ3DHD2W/Rs9rp8lPXNiCD2gvvc8OuvhPAUI4Tz899M8NH/BPCs3wzz75sM8oFzGPODisDx/Abw8A6WrPD/gsjwlOLw8h8uxPD1muDwGesE8gBu/PMgytDwd/rI89W+pPOSHqjzZhaY8WsSsPHZXrzxqNrQ89vC2POCguzz3ocI8RIzCPHEdwTzg/ME8SbbOPP1hzDxySMQ8qtK3PFA6vTyVa8I876qvPFqUvDzN97M8HeylPKTCqTz5ias8hCSxPBAfrjxiiaY89ja2PKRmwDwzsMs8IafaPMgB3TzuWcg8QBHTPOjA2jxTXN48J5HNPE35yzzgweI8O4zuPOds5TyYK7M8FsyjPD+TnzyIYJg8DH+UPNEXlDxCGZU856qbPICmpTxUYKU85lSdPLChmjzNbK48oT7OPNCo3TyzJsw8lfrBPEnQwDy90cA87T/APHluvTzBJrM8pEK4PMvQuzwNpsc8+2TLPMev1zzHq8A8RUqwPFUtsDzKw8I891TcPEqk1TxBVdQ8mUrdPJ1K4zyC9AA95DsBPUjg4zzb4dc8BGvaPJDj1zwJbMc8F+W2PIqxqzyOeKo87e+1PM7HuDx4grw8cXq7PH4ZvjzVWco8daTMPOBr0zwBZts86G7bPD4txDzpB748fGKxPI2KtjzDbao84oWTPGxzizzBHY48DaeOPDoFjzwXaI88guWZPMevlDwXq4k8wgSMPECKmzzhOKk8ZC2iPEkrqDwWK7Q8nwizPMbTrjzh2Lo8SvuzPFojpTypaqg8UhivPDEMyTyIbs48+E/NPMQVwDyBorI8SMO0PAk2uzxPsrI868irPBGXmDxmZK480BmvPBprsDzmiKc8cuycPGKZpDyMObA8PJKyPFT9tzwvjrg8fmnJPGipvjwKwqs8zMKqPOjprjweB6Y8utqaPBfQmzzs/aE8i8ykPHsxrTznZLQ8G1jCPIMAyDzwO8A8TnPAPAf9wjxdFq48bbmtPO8Ztjz248I85CzDPK3Q1DzJXvQ8lMHkPDc/4zydC+k8Wt/+PM07+jzyTfQ8jc75PJtd8zzNiu4887/aPJubxjw4qr485lngPIwN3zyoDeM883j4PPDUAz1FKP882cDnPBDs4zwAy+k8asH5PPMk/TxTIgQ9utodPTfuIT3uVSA9eb4dPargGT15ARk9c0MePRdqJT2JoyM9Hy4pPaBDJD23oRY9GvQQPRM7ED0soxU95codPUWWET1YzgI9RS/2PHd2+DzdcPw8rmz4PGVi6DxFENg8IdDaPKny2jysUd483WDvPNVeAz3oSQM9kogFPUJYBj3C7gk9ruIQPVy6HD3HjhY9qQ8RPR+3Cz0UYQs9tGUVPaAeGT2EFA894vMFPW5hBz1YDgQ9b4kAPRBnCT2OEAk9Ur8KPd4RDz0pMQ09DxoIPeK5Bj3xwhQ91egXPRDdEz17SQU9z6kHPb9JFj1XTRo99mgKPRYiAz1JpAM9Je8PPWuKDz3kPBY9JmUMPXSzCj394BA9TgkbPaqlIj3zli49cd4xPeioMj1nuyw9GEUgPbRAET1vfgg9jB4EPcHeCD2eYxg9KKwUPTgxDD0BhhQ9klUbPUpuGz12xgo9s60FPTBxGT2qrRs9+MwIPXgkBT3Qtgc9yOwNPdaRHj2S0hc9RiISPVgPCz3sshU9WLQbPUntGT0ntAs9FdsJPbdIET2F/Rk9GTEhPexxIj35pSQ9ueAWPTiW+zyDG+w8vTn+PEG0Cz2n4Q89tm8OPaciDz2c7gQ9dzYLPRfBCD0U4fU80XH4PH+u/TzqdP08yBIAPYnS8TyM++Q8eWDfPKfSzzyX28U8QaKvPO3ynjx1Aac8toapPB7RrDwrk6I8kKSoPPmSsjxyX7M8qtanPE/lhjzUl1080uhxPMhrbzxsKWs8mfJ6PN4FijxwHK88GjnOPO2B1Dx+0NE8sNnOPGJ5zTwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/mJGfO+VeDD24oBs9PetSPVTugz2seZA96IWNPcojgj0hVoQ9nDuFPUxljj2MV489CeOSPfw0lT1l0449TESCPUL4cz37KXg99cOHPTJThj3QeYE9VRd+PXZRfj0yHoE9nuJ3PS9yfT1ycIA9bmqAPZEjiz1K0Zs9abiLPX4UeD30aHE9KepuPWAMfj2wr3I9HnR+PT5Gjz0N+449jUKJPWRvkT2C8p49rLOUPT6djD0ao4s992+HPZCfgT0KwHw9XxNrPafCYz2/RW09yB1tPY4Taz3GhWU9WZtuPRIneT3vHnY9HtJ+PfVNYT0Zr3A9AMmDPf/fjD3f0oE9faRrPQuyXz3ZEUw9uA5UPZdSVD2PMWE9R8VdPe3rdj2PNX890BJnPaBrTz25ukQ9bVpQPVfJUz2PFGA9lEdyPQoGfD1aTYM9k/qEPY64ej1l9nY9HuhzPU1LdT1OgmQ9eP55PTfcej1jQXQ9TwB+Pe4sfj11qnY9HS9dPR/OWj16vGo9xmtuPV2WZz3nIWI9AWVmPetqXj3gZ1I93YhOPdpwVD3Ad2c9/aZiPS/MZz0Wvlo99tFOPWjMQz1KNWM979d4PSlueT00A4c9jgSJPaFZdz2us289JhRePe7aWz251mM9/YthPevWVD1xCk49p8BAPUhRRj048Ds9OZc2Pe00RT1NolE91m5HPZ+NQj3cYUY9I5dCPfC0TD1mkEk90atEPTMhVz33kWg9hxFsPWEQXT2GCFI9+59FPYaWPz3NE0U9NTFPPfpPcz1GRoM9JMBWPbl6OT2i8Dw9RxhAPTLfYj2Ni1U9G89MPSZwUT0kZVM9+XRZPYomYz3W+109sN5jPRuCbj1b4249B0huPboTYT3acEA9kggxPegFMD3TITA9M/gzPda9Qj13g1s9bTRMPcJCUz2uF149yrBYPQ3fSj1Cslw9+qJLPYKzST2D30w9XYlbPZRTYz24TmQ9YBNSPctBVj1ut149TPdrPc7UdT0bEG89lj9xPWQJcz2WpnI9C8tpPTlIeD1Lg3893ltuPSa4VT2310Y9B/NcPYIRYT2vZV89TihmPbp8Zz3GOGs9uatZPYpaVz2qCl89Ji11PcV1dz1E4X89ff1vPZgfYD2cAFw9rMJbPTQzWD21KVI9z9F0PaPIbT2kJFk9ZlduPQpwej1VIIE9eLl5PYrpcT1pLGw9wkxsPfl+bD0aWFk9Oc1dPUDtSz3GrTQ9gKRFPVU3Tz3QgFM9FOs2PeAyOT2i8Dc986cwPUunLj3sLiI9CPokPRzXHT2pQhc9RDEYPawFGD2dyeg8B6C6PKKeszzahLU8/1m9PIH5vzz73tM8v3W/PBmVrDxjudg8jDrjPDzX2jzXArA8XoK7PNT2rDzRDb48Tk/JPDrhuzz5wL88kVDKPAR5xTytgL48B9nCPNxGsDxNO6Q8p4SrPA+RtTz9G7s8mgW9PBnH3jxy98M8hqC4PHXktjwfEso8KFDPPIhy3jy9gdA8sca9PKzGpjxLFK08Xe2xPOU/tDznW7o8WpOrPBSkpDzIDaM8ekekPOMAtzxhIcY8THa7PLVwsTwrjKU8JqqkPPhjszxNMb88xvW8PCMKxjyOPMk8Pu3LPDEv3DzxN9A8SAa5PEZiszyPXZ08JbGcPBpJqjzG3qo8KY2hPH43oDz0X6A8UlOfPNFHnjwgcag8uY+sPPmetzwy6bE8TE+vPD9qtTwcPss82NC+PElGtDyGqq88qxW1PCCaxTwgKbM8I7exPNAVyjw8Lc08YqTIPDr2uzyyc8A8oYTIPOPczDw3nsw8S5XNPNEF1TxyS8481S/UPBNt2jyJROI8Do8DPU24Bz2WSOQ8t4jUPJx23DxkOts8QrfNPPPKwDyTpsA8VyvIPDTsxDz1jcA8ARqyPMm8sTw6i7U8Z7i3PLPZuzzWAb08PCnBPEJAvDwSW7g8jKzEPKXDsTwVjKo8uPuVPBbaijwb84k8te9+PJNLczyJA308iSOSPEdcnzzJkZk8udeVPA+RpzxwWa48A1C9PHiYojyaKpk8qqOsPBpTvzziI8A8qmXHPEHyvTzbG7M8HuK6PLNizzykRNQ81B3iPOUx1Dy0Lco8Q8bkPLyR5zxobtw8kr+zPPI/oTwnmqs8CZ+xPGkFrjyrC6k8bPWhPMIJkzzWg4w8GQ6iPDFkqDz44rY8HjS/POcewDyO0bQ8Tpe0PGngszzhK608lZajPB0HqDwWZqY8B23BPE2lvzyJWbw8ybu4PPFcwzxsy808pcfJPCG+yzxQVdQ8msLOPOWGtzxHBLQ8GXbCPLFOyzy1I9c8vRvXPACqzzwKLMg84GLFPGcZxjyuLL48XB3BPLG/6DxJ+ec8OQ/yPDD18Dw8V+U8hPPePG793Dycecs8oNDSPBFU8jxvLxQ9gVcRPRmsCT3McP486q35PK5dAz1OeQs9cMEGPR6dGj1ktRg9q14ZPWuVFz2AdBI9ubMWPdhKFz2PWxY9GR4bPaoPJj0nsCo9TrkePSmBDT0NGwI9KNkCPcYzBT0LowU9Ls8APY+38zxXN/E8kPXuPJq26zwddO88TPb6PJNuBj3W//U8OWXzPBKb+DxkigQ9hoEPPdp1FD0b1Qk9RYYHPTfOCT0B/Rs9isYaPfjpBj26bgU9pboHPeG6Bz1rfgM96rkAPctxBT2wzgs9QH0PPaxVEj3R1w094ZQGPa4REz3i3RY9ksUQPWW1DD1YLww9Qf0PPbA5Dz3JTxE9ve4TPUZoFz189SU9HTElPdABHj0yXxY9QO8NPWUSDj0Jwws99JIUPU84DT0oWRE9HcMXPU1/HT2MFB09ILscPbiLHj3MJh89GNUaPZunET2d+hw9Uz4ZPYW2Fj2FcxM9ursWPeuYID1zqxg9JswRPefWFj3O2BM9QRoIPY7GFT24SBk9M+cXPTOpDj3mNwo91GIAPQbO+DyZ3QI9+MMWPTGZHz0+lRo9b4AfPWjKFj35/gI9iIj3PO0kBT2INA49Uw4iPVOSJD0Yahs9xx4TPdJ8DD3MWQI9ETLsPPr2BT2lTAw92LQGPSeY/zzifwE9iADjPKZ01jyOudg8slXKPEfSyTz1udQ8L9HgPInwzjzIGMg84b3BPFwOuTwuMbM8PNy9PPndtDzlqpw8+CuhPDqirzzfeKs8W4SaPDmisDzQjLw8MsW9PD/Cuzx3s588ITKDPPcffTxEkHo8/vJ/POMwizyuhKU8IYq0PJO50Dymz+g8D/7uPCp/8jytH/Q8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4AyIzzfwK88wAxJPWouej1tFIo9utqFPXKqgD0KIYQ9ZziEPZAVfD1qOGg9vzdePfFZez2t5II9BpCEPXDLeD2GzIg9bQyHPRsIhT00Sns9AfpwPeVgcz2t8oI9OaeQPQk9jz0fHYw9rYqRPdDjkD2NqJs9+lWSPVtAZj0um089YcFNPYo3WT3X+XI9K7eFPWv3kD3qkY49CNqIPY/+jT1wGpc9lImQPY4rgD2anH49e3mBPYC+iT3C04E9S7FlPe/LXj13bWo9kHx9PcKVfD34+349WzB6PTWThD1rboM9rKl+Pfvzcj1fsWs9HbZrPUdCaT1jcVs97ZtRPTpETz0CCFw9FdhbPZsrVD1/Ilk948VUPXHjZT36BH09u0BoPULRRj2Amzk92DY5PRcQNT0lrEw9GfJePaL3aD33tnQ9T81+PVjGhz1+3Js9G/2IPYwddj1wFGw9fgB4Pa2/hz29/II9sYiBPX8Nij2IYIw94omHPcQxbj1cW2I9iK9vPVZvZj3quWI9EEBrPW5DhD2AEGM9o+tSPVw1Xz0922c9V9JfPeKJUj2zYGk9TVJjPY9JYD3YGGg9mN94Pd3MbT1Z9n49CJOJPdlFfD2IhWc9/bNhPUjwZj2ha2Y9Cx9yPZP8az3VwU49NZ84PeKtQT0MFlQ9wttZPQKeWz1px0g9qcVGPXIjOT0Qkh89RE0VPURZFT0v1R49Er46PfeySj1mPlA9xGdPPSRyTz18eFY9z9hFPTjULj1VMjU9QtY/PQhXQj3bD109UbZXPaZkOD2Gejk9p4ZIPTppTj2ryVg9/opUPVxZWD0EWGI9i0B0PYYcdj2jOFU95mNFPbH1PD3GITE9xmcqPdrfKT1haTc9DIhCPdogTj23REw9o1dFPULaQj0X3j095xk/Pe2UST1F2lg9b6hXPdBGWD21zk094PJPPTO/XD2JvWI90oxaPXMhaj2XhXI9cPFlPTS5Uj2USUI9J0Q+PaGtXz3hzGE9nNZvPQEWcz0F94I9szKHPScIfz0yA2I9/B1aPZJVSD2kwkU9stJIPQ4gdz3umII9pvBvPSGTbD19+3I97352PR3+Yz3aSl89YGt1Pchrgz0von49b8l4PTp5WT3SRU09QA1cPegeZT0W/Vg9cThVPW2STj3YZUs9ooZMPWwjaT03N389oQWBPcY2gj07x3k9WftxPQsxdT1Th249gsRcPRjAVj2rEkE95f01PTREPz3ewD091ZtBPeS9Rz0LWlA9raZSPQm8TT1EgEM9ezMsPYriBj0I9eo8hd3XPEQ9zDySBcs8XtDBPMWKsjzNxr08rhXEPBuMwjyfz8A8XyC8PBTmtzyyoL08l6O9PD2LvDzb07w8EwnFPDOr0Dwhq808Uny+PEE7qzzbrao8RUe9PPH7uzx+br08WqTAPNK8uTxFvrk8OXLDPJ4lzTwx9sU8YtfMPP4xyDzQc8k8E+3SPO68wTzDxL88VSPGPAPdyTwZbss86mrLPHMExTzNV8M8wQK7PHYhwDxGAb489Yy6PAHLwTwWcLg8gNG0PHT4sTyWU7s8OZy8PGdrvjxaULk8hUOmPAO9rDwKSas8u5SqPJJcxzwaLc48ZpzePBIk3zy7tco8YSi0PDcPpzwvmaw8wxqlPG3spjxT87c8wVS0PE86sjyYJrI8IUClPAUPpjxlDrY8/A3NPDCJxzwOqsk8YlzHPLVfwzx12bw8OivLPHAB0zzJv888M0rGPKeTxjxGOsg8BW3MPGyD1jzt0Ng8GCXiPN7U3zwdMM882/jLPChSyzwwF9M8QLLePPyZ2TwzV8s8OdLMPPFz3DwRJec8TmD3PJscAz1vXRU9MUUMPYG97jwXiuk8YJ3fPCS10zzWmrU8ziKiPIgSrTymfMU8sUrJPJ+cxDyOyLk8Mkq1PA+dvjyIcrU8/6azPPN9tzwFPbY8WW2vPK/Rrjx/TZ086eObPJcHmDySv5Q8N1OTPCsHkDxGG5A8uzWWPG13qjwNeq88d8OkPGPosTy/WLA8ySS3PBtQxTzGtaw8O2WhPKHapzxWccQ8SyrIPJMrzzyb3L08l3KuPCupwzzcO+E88O3ePMa02TwyTN48o7DHPIwttjzLzLU8yD23PJi7tTyZh6g8TMm0PAx6pjwN6pM8lnWUPMxBkzzpx5w8m6yjPJw5pTxHWao8l36nPMH+rDwR4qk8rD6vPKBGszyLlrA8Bb+rPEfTrzydfqo8R7+1PJHDzDzHSss8viDAPFO4wTyOfM481TfrPLZM2jz7G988y+3nPOWg5zyZn9Q8HYrLPHvJwTysbb08RIquPEuWojz1eKg8WyWzPLoYqzyySq883gfBPEcZzzxDPu48wkr/PPiN/DzGnPk8VqH2PP7i/zy8iQc9GrABPfnE+Dy8FgE9zisLPciDEz3Pjg49tMX9PDx+BT2oXAg9Bd0PPT5aFD3EWhc9vqEMPdkMBj18rAM9luYLPZb0Cj2lUAc9j6oNPTT2CT2tDQ49faQTPYvMGD1uhxE9/0kMPSv/BD35Ewc91l8QPfUs/Tx+sAM9Qof9PGil7Dz0Z+08Otb+PNojCz0gKgo9qGoJPdmgBT3WgAE9magHPR9zDD3e7xE9scsFPffIAT166Ok8oY70PGIh9DwQH/08eAT8PCyfAD3aUvg8vC4BPREzCz2sshI91ugYPWhUFj1llA89cLAbPQDgET3o5hQ9t8YXPc1YFz1NDQ899p4MPe3+FD1n3wo9oxwJPSxnCj1nuBA9kgYiPc/ZJj3Kghs9QeALPZ5kDj3lgxU9a0QOPf/bFT3APQ09F04NPURiEj1X3Sg9xZ04PaG1ID1nmRo9LzYgPSwsJj0INio9zh4mPZNwFT068Q89Ub0UPUdgHj2W+SY9kzUoPeheFz166As9SPYJPRdtDj1stCY9cFwZPbhMDj0ngBY98DoXPUX4ED1SdAk9QFkCPVq/Az1l9g09fm8QPSMACT2ezeY87tnhPHQ/Bj1Eqw49TkwZPXCqIj3QEiA922AFPdMW+DxXJgE9A4oGPQCDCD27Fwc9j6gDPRZQ/jyjBgI9hNcDPdOD4DxQeLk8LuOzPPUiszwdGrg8K9fGPAqR0jzoGOA8CeHfPBfTuzxo8qw80tOxPD58uTwM8qc81R6mPKRlqzyOmac8Lp2ZPB1vlzzEeak8JvKiPLdlojygcKw83he2PN/ajTym/G480ZR5PM1rhjx234g8x3GYPINNpzx8SK08Xqa4PHyHwTxtkck850zNPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/H0c08xK4MPbZ/bT2o4Xk9wriBPQBBlD3Hw5o9OvZ/PRV2Zz07dGM92glRPXz4Sj0mRXI9kOaNPRjmhj12u3s9i15+PYGCaj2Ucmc96HR4PS2agz2VO4w9ExeFPdo+kD0RrZ49C0+YPZVVkj3h6Ik93jqFPRcehj0m93I9361qPSRkbj0R9nI9ppVzPYGrgz3NbJI9RqqWPYJ+kj0Oops9u/uQPXoSbj0VvGw9OESAPToEgT1kvHk9Mi9tPUe9ez0x8HM9uit4PVkTfj2+3pM9nj+iPYVzmz2RP4s9zzOAPbd3eT00SHw9k9R3PfymeD2Q51g9O/9HPV+oQT0qD0g9nvtSPZyzUz0IiVI9zTZgPZMaYj2ZnGk92dRnPWACTz2FkC89wmgyPQ0gNz2XX1I9Ay+DPXPiij39L4g904OCPfVwdz0RbnE92zlzPeJxYD3aH0Y9DSNTPUHjZT18mFw9MzpdPVGUgT3V44g9Q2qKPU56hj0ImXI9SZpkPY8fYj2oUnA9Zn19PSCshz26G4o9mDVvPcIvSj2ohVY9HstcPa76Zz3lnYc9mZ6BPbGqYD2ubGk9QEFxPUafcz2NS2k9SVFcPXD5ST0CnkY9oZBHPWlyYT0ARmw9n25YPdbwWT1k+0w9FvRJPRQyRj3p+049cB9CPVjTMj0FXS490aYsPeCzNz3mDDE9m7ctPe0AJz0tnjU9Cq08PTkbOT1abTI9TsBEPa+XTD3wH1U9AuBgPdx6Oz36pC493tpEPQ/GYD3fB2M9OvNePbF6Sz1onVw9a5NiPdVuXz0oGGc9pxF5PSKQbz30snE9s29rPT/nXD1cZFs9LTJHPV+FRz0e0Dk9MKU8PQ1COT1uKzc9glxAPcr5Wz16gF49VCtbPYs3QD2mSTg9iks5Pb+0Uj1VJmQ9CxZ0PZItYz2ybl09/mRmPQfLbz0bbWM9QopkPYT7XD3Pu1o99cZlPQQidT0H/YM9MEh4PaysaT1tyGg91R1vPaieeT3o6nU9SvR1PRpccj3H7HA9Z2l1PWovZD2sJlE9xkZOPVQXWT1F1349YeKIPXWrjD2FtYU9vjB5PYpWbT3mCW099/1oPfQNbz2kpoE9sNJoPYlfVz1R0Tk9Wwk4PbY5UD0jYWI9h7psPQIIbD1d1FQ9Z4dPPRjVbj2kYok9VyyLPb72iT18oIU9YwiFPePfWj2Xjzc9oi8wPVtiMj0DYkM9SjYtPVfZEz1PbQk99NcDPXZgBz0PHCU9gT0kPYvECj2WvwQ9upgSPUlUED2Ewug8tj7RPDHSzTxj1r885KHBPP1cvjxOV7c8Kh/EPGiGuTw2Ub08SanIPEp4yDwui8Y8yjXGPEvHtzz9y8I8H4bKPO51zTzsk808wrzJPOv+wTx4us08GajEPMlWvzzUaco8tOfLPGgJ3TxOhcU878fAPNacvzw0q7o8wVi7PNGMuzyK78c81GHOPPrz1TxR4LQ8G9jAPCGvxDyU8ss87UTQPM2h2Dxq6Mk8nrzFPECIvDzEUsA8nyu/PEWsvTwtRcE8Tja6PMvWwTw5q7g8kzy4PBDKwDzXyMs8MgDRPPB02jxdC848g4nLPAUTxzyG9sM8vLTEPONwuDyFEqQ80w+zPP+Xqzxc8q88SSCuPOYhnDy+AZ48sWOjPApjqjxWyag8dBy3PEDbwzwU5sk89X3YPKwz6jyH7eQ8MZjaPG4G2jzcidY8N0LbPIU95Ty49888B47GPC4BwDzExsI8xDPMPBF12jxAreQ8+qfRPHpEwTzW6sI8b4HNPDIs3zyaGOw8/gDcPFE20TyK7dI8O1nYPOe21DyrqNU8dWHXPNY5zzwTidA8VmDdPCp/2Dx3fs088NbVPOab0jxGfco8z960PJqtrDxFAKw8SfbIPPGtyDw3EcY8bUHFPJBn2Tz1X9U88ly4PCykozzrHaM8FoObPBo1mjymo7U8z0WgPJUjjTznSZI8sP2ZPDT5lzxM5KA8ntWqPFZBpjxkHa88+si9PI3ixTwdhc88JA7aPCKq3Dy0V9c8PCHXPEsy4DwahMU8QJzBPBQswDy99Ls8H6LBPJ1hwjwHBM48P5zgPC0I6DyuAu487lzfPEIrvzyTMq88LAeqPIJnqTw5BKc85SisPHLwszztfKI8V9OdPNDtmjzfCZo8Y1WiPHJIrzw0uKA8cmGiPLmfpzzl96c8vT2XPFKtljwZPLc8LXu1POZ9tDzOY7w8Dju9PH/tsjxVfMU811vUPGqH0jwh1s88y8vbPKFs0jw37t082G7yPE9c5TxnjcI8i8e4PFT3wjw+v7Y85ceoPEVAmTwn85k8EjeoPCfDtTxMB7w8s9zEPGSb1Dyrc/I8SSYCPTtV/DyVSvU8Xo4CPRV2Bz0viPM8AD/7PE7T+TzfnPI8gdH5POlr8zzn4Os8HS/yPDtNBz01OA09lBkLPcB6Dz04qBI9bZIMPbo5Ej030Bw9i58aPdeTDz1IVQU931zlPBId7DxYVe88cBnsPO4uAD0dVQs9oH4WPQHNDD0CI/w8olr9PI6LAz3W6fI8s/T8PEj9AT0kLgI9ih4CPeq3Az1ucQA9pAMCPdrMCz3aVwo9eLYJPfT0AT3iIPs8U6oFPZMQCj30fAU9HR//PEQ3BD3WdQE9HEr/PAvA6TyI1uQ8eeYAPUBrCz2XQQU9a44EPXtTDD3c+BM9bsQcPWJ3Jj1wLx89ORgXPRejGD3Xoxc9JFEOPWMaBj0GXws9/gwFPRfHBz1JvgU9rvMMPZ8yBT3zOhk9bl4XPajkED0gQxc9tA0VPai5ET36GR09vAghPWOwID1wix89nIUdPVbxGz0WTRQ9XgwgPeQuJT2MaCI9CswwPYodMj1hfis9j5coPVoIIT1MDSU9G1EiPYq0Gj1j+g49mOUUPUn+Gj2wvhY9FhARPexSED3RMxM9Fe4ZPTABHz0IdCk9cZEcPYvjAT3TxPs88TsDPSKQDj0SbwQ98VnhPMfa6DyghRI90CgXPWf1GD1cih49jKsNPVax5jzDZes8wUsBPfkhCD2LRRI92BEJPW+i/TwyLeg8jOzrPEwA6jzsbc48dzuxPCaBujxdB7w8lDi7PJSKuzzIYco85e26PM8TljyLXpw8MvKsPBrjwzz2f7I8mPqEPF8hbDycQ4U8msKMPJyMlTyRjJs8z7aOPPDkhDzKJpg888GhPPOaozyq4Zo8O4GTPAbcjjwtK5A8ocKQPJE5kjyRNJs8Ff6uPMPcwDzeAsw8YArTPNMp1DwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/0mg6PRYQWT2bxow9R2iOPRasjT0BooY9N3puPWU7Uz14+kc9HvJNPcV/UD2YZGQ9Jzt2PcWKij3v0oA9SStpPeJYYz1GFGw9zPSBPaHzjz0heY49YpyLPdiRjD11FZo9+huaPfDliD2GX3w9fkl8Pdhejj2l/ps9EJKWPaY1iz0ggYs9InSNPfLgiT2QeYU9YaKKPQTFkD10yY49QMuNPYcqhz2Gk4I9BStqPeZpWj2cDVg95/xXPdivWT22M3A94LB4PZ03iD3G54g9aiGNPYoNlT2Kj5w9bzWRPaGVbz16lmw9FGdmPVS4Zj37DVM9OLI+PfN5PD2FSEQ9DctUPU5TZD296WU9G8p/PWrLij2ocYk9CoGIPa5Idj1vxFE95OVEPYi2Sj2PClM9I5R3PbmohT023389ReV5PfVbZz24WGI9PcJjPYczXT0IpVA9Hq5EPX1fQz2f3EI97rRYPUspXj0yUlw929lVPSyjbj1H4Xw9CHODPetlgT2yBYM919KDPYi/iD1KEIs9+ZhiPRfyQz20QFA9xIBtPU7WgT2C24I9BzCCPY6Mcj1fp1o9AlNVPaFBTT0RzEk9MHs5PZgWQT0c5zw9p2c5PQ7gOD2K9kI93mZBPYXQSD0/IFA9GS1FPTrCOD2xli49CEkuPR7XHz1LsCM9uz4pPSklKT0xyTs9SalBPYKkRD28eks9CINAPfOXPj3itkU9H1dNPSZSST0Wf0g9sZRRPXbDUj0qflE9oq5TPa92WD1GDms9FX9kPVPbYD1+WWE9hNZjPQyDYD1F81097DVdPY7BWz0mGlM9MH9hPUtRez2xCH494SRrPV7zYT1CO049reFOPe3ATD0nTD89jaE8PRkEPj352Ew9eKFHPfPiQT3M70U9k1lKPZyoUT0kclE9FjZNPSpSRz3m9VI9RydWPYRnUT2122g9dw53PamwcD0JwWs9GVVlPfbgbD0swoA95uSBPXE/hz2zsIo9YaqKPfbohT1xPnU9fClzPbTscT2ciYI9ZtGCPbSrZz26alw9KMJmPddjdT3Mq4E9FkWEPYdakD1NjYo9sH58PTt1az1/JlE9qVpPPUNqVj3VJGE9KyxpPZdoXz01PXQ96XB1PSOmZj1s2Fo9lglgPeSQaj23BGo9w2VmPUkDYD28TWw9ndB/PZrpbD2jrnU9RENzPZ2aWT3Czyw9IxsWPfSsET3x2gw9BQcZPX0UDz1NtQA9DeLMPEMduDxgUbY8WIytPKj0pjwsoLA8npm6PHVQwjxdRcI8nWG/PDpN0zzG6ug8Ss+/PDGZoTyjzqE8e2itPKMCtTwnUbE8CXK5PLBkwDyhwro8ziStPAPkvjxAgrM8ydGjPOJkszzgtLc8Iay9PBAKwDy7A9M8JgzIPFPjwTxIX7w8xuyuPCvovTyO6sA8xty1PFrluTyk5cA8AIvOPH74wDyr1LY8oOS9PMe23TxgMt48uOfMPHwZuzzHKcU8lnXTPN9pyzyC5ck8ULTIPMI3zTwaitE8yDvXPKrr1jwY4888Zzq+PFi0sjwK6sQ8FunJPOBHyTytFck8HdPNPFFewzx9cLo8znu5PE3Ksjz5EKU8Ya+rPGbBsDxYLpk8WMGbPA8imzxn3Zg8sHqcPDnhpDwg/ac8bpifPCbCpjzTO7c8HGu7PF4twjzA/uA8q3vpPPbb9TzbYAo9X/UAPelI3TzwwNI8w5bKPIPizjwbQ9M8RdnEPJ+zyTzFEtI8vvPdPBBC1Dweks48MD/NPFQPwzwtmdU8crbiPA+X5DzpBO48MNHxPFjE3zxNBNM8oubWPAPPzjxwscw8VpfCPDg6uDxSSKk8P/OsPIiQpjxcK6k8GHy8PGmvxDzMrME8UVO9PFSTuzyqcsE8uc7FPEcm1TxTCrk8nSe2PE3OszzQsbQ8TGevPOUusTz8vZg82kmUPEj3iDwjRok8vKiTPChamjwB0qQ8iPGiPGjRnTwKPpc8QBeVPPZIrDzccLI8Wiu7PJKh1jzCD9g8UYPdPE2Y3zyEBt48SbDlPLfw8jzMFNc8Jrq2PLrltDxA/8w8l77NPJnZzTypEMA80xPGPHyy1TwMj9w8tw7YPIej2Dxpj8o8DrCwPB3BqTzkN548axOZPE45qTyrPbw8BwGnPEkllzyGApc8r3+WPFCWnjwmBKo80HmjPAfmoTyxu6I8HLmkPFaUozxcHas8NU+2POjOwjyNpcQ86FPLPJDl0TyPitQ8vi7PPNRv0TwXCtk8eWPePCB80Tzbx908Q7PePLSo2Dw3qOA8B07XPLDitDzAPbk8MwKzPKxuoTwja6U8RUa1PG55yzzWRs88fCndPO1R1jxa++o8BZT+PJ9y6jx7KeQ8TxHxPNH9AD2cUAk9o3oQPfMXEj39fRI96OwIPVO2ET2g/w49QzkBPXPEDj0EGxI9jmwFPfuxCz2KLRY961kgPcvKLD0Mdh89b2EdPc1zFT0ZJQg9DLAIPYp28jwCXeY8uFzgPDg+6zyiN/08sVEGPcdlDj21RgA9Vc3zPIz77jyB/ec8I4ThPPKL4Tx2nuU8ylTxPNKv+jz4lv48Ypv8PDCO/zy9GAM9C/4KPSAJDT38wgQ9Zv7xPJXq9DyGQQE9xrEHPU5bBT14ZwI90rr3PDRg9Dwd5Oo84VfqPBaq+DyfGAg96XcDPcWt/TxKGgA9g1kAPSsUBz0ZKBU9QxoXPV10Dj0dYxY9aAIZPZ7JED13RAo93+kCPR1LAj3ZuwY9WCAKPaZRDj215hE9ENkYPUsiDT1Chwc92xQLPaYiDT3DGBA9UHASPfJ8ED0NJhQ9aDwVPRSqFj17CiE9QK8aPY54Ij20fSs9cMYoPQwBKD1XkCI9Q94bPbySHz11px4930EePU0XMT2NfzQ96zwoPfVDIz06pCE94aYXPRVOHT2KcxM9GVQQPQKIHD01+R096JcdPQEmEz1E/Qo9YhkKPe2qCj0HNQ09VDcCPc1w7zwFcek8U2gDPUWXDz1HshI9vOoLPSORCT13LQM9YOD/PP5a7TztAOQ8Hz3aPGCW2TxGgt88IIfdPOAd0Txn59A8pM/OPE5HtTzYuq88nPSyPLq5uTzIYrg86Ku7PG1Pszy3F6c86VuwPG7uujzX8LE8yeORPLOSXDwixFs8VHKHPBCVkTxB/pk8XJGnPPmGlzxRe488lRWUPDK7mTweB488IMSWPM/ppzyQaKs8cAOoPHVdpDyYmKI8h2yYPLTVoDyoFLs8BIjSPBI52zyigds8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/VDeRPI0gzjzzk2c9p1qWPZ94kz3an4498YttPWMjSz1miko92GNPPb0RYz2koGg9sIdePcaHcD3QkHw9dOpqPX8ebj2XaXI9/9hyPVdwgD3+n4w9tX6aPeWEoD0aHKI9oVGLPdiYgj2d5oY9D7+SPWOqkD0VhZE9QtOcPfWHkT1f4YE95oeCPXulhT2UGJA9rZCGPXNyiz2HCHw9xlRqPRRUbz2yDnw9Fhd4PdczVj053lA9VUpIPYksRz3nsFw9zdJ2PQ7NeT0RQ2s9zXBgPZLyZz00cXc9yaiDPdmAcj21emU9TvZcPeefWz0W4149HXppPWj4Wj0X4Ew93gphPYUTaT0ukYE9pNOEPaDthz04PY898OmKPVCuiD0jSHU9UnZPPfJWWT3D0GA9xXhiPZYdaj1EEl49kQdRPcAzWz0HNGU9uVhrPSFpZz1vvFA9BhZAPcQTOD3o1zQ9BJU3PVA3Rz0lt089G+FVPfbAVT1TlmE9QoxlPR+uXT3q2lQ9jhxePZ7bZj1ww1499cFYPSHFSj3ixEY9+wJSPcwAcj3CkX89VyV+PTHuYz1yfVM91tBTPRQsTD0R8T89GUI+Pc/7Rj3frFQ9K6JBPV3pMT2ghD09q2xAPeW0Qj3L1Ec9oytLPTs/Rz1fCEI9aSVAPej7OD0UWzI9zpcwPTz+Nz10Jjk9gPA/PZTlRj1cYUE9mDZVPfE/SD3oykk9fPxUPeOoXz2pBUo9qK1GPfoVVT1tcVk9WChgPQPJcz0nLW89bDFxPVHaVz13/k49e+JVPWNjUT2WLT49ycRKPZp0ZT0h6Wg9J9thPTZdcj0Ob349WbGEPYItcD0cI2g9e4daPb06WD1vR08928VbPTTTUD32hEw93apBPSx9Tz1LBmY9hOpaPYlyXj2q7109PxtaPTDwWj2kJ0890+xhPdunZj0b32g9iwN3PYV2eD0s7XU9yVd3PYvMbD2Kdm49gn6CPTfFij3/sIM9U6p+PdkQfz0y5389lFxrPZFhYT0veGU9kKJjPZtIYD37tlk9uMBcPWF1bz2X5YI9WWZ5PZQpaz1l9mo9q/ZrPXyxeT1iZn49bJRfPV+rXz3o8WQ9irRrPXfOaT2l71A92mtXPc37XD2go2c9Ze5rPcAwgD1XAns9tVlzPdvNbz1dnl49djpePfbLaT3FvVc9xotFPZTBPT37FiU99AoZPcTbCT3u4QM9YRPwPPXi6jzTKdo87yDPPE49tTzYVag8KWmxPN8hrTwJTa48/m6+PN4lwTzrT8E88EDHPOawvjw7k7Y8ZaXXPIv20TwZv7E866W4PLoTuDwnyac8sS2sPJ8nxjz1auU8BR/bPLcpwjygQbk8TBGoPKBMmjwppKI8UsevPO6axzy1Osc8WV+8PMJmsDwFo7I8e7WuPBdErTx007c8Sxi/PIdLuzzVEcQ8JwXKPHsR0jwtF8o8HUPLPIqyxjws58Y8g+PAPG5OsTzP6rg8J53FPOma2zzx5cc8rNrJPFAd0Dx5BtM8o8LePPbC4TyBptQ8dHfNPPjnujyPHLM8sWO3PK/rtTy71q888nuuPArzpDz2S6E8PwitPK+LxTyzArY86DO0PHlttjyYb6o8oyiqPKHdsjxMnrk88aa3PLuRsTyTyas85Hq3PCpQwzwjoMU8lUfPPFTMxTyWEMY8HM3lPJ6a/TzphAc9Jt8QPRqbAT0Pito8cArPPMvuwjzYOsE8MqSrPFg6rzxqNt08pwPePOSXxTxUnMU8u6jGPGn0xTx1kMM8JtrZPEa34DzrcuQ892vzPJEz9TzuHc88PQrGPCNk4zznK9081j7XPPdvxjzRga88A1ypPKkEqDzuqqo8aCu7PPQnyzwe/8k8N0nMPOV90jxik8o8aQvLPC8ayjxTJcQ8bcykPP3anzxkk6E8z7CuPJpvrzy8Jqc8EKiYPMN9kjxD94o8XWWZPKuWlDxQe5E8Y0miPDa3ozz3+Zs8Ml+TPJmunTyoEcM8uXziPL7M6Dxbi/Q8ThHaPAC+2jykguE8T83ZPLfo2zyOGtw8SVfCPA1dsjztHK48wcKyPAOeuDyDhL88svLVPBQH1jzrLcs8kY6/PJEPwjxnbcU8f9O6PATHrzywdq88JFyiPPQ0njytW6E80R2kPCbqpjzDMaA8k5ehPCgrozyXMKA8+hirPMC0szzGRLw8+EGsPJ0gpjwzxKU8uqKwPHnzuzzx3sA8G8nLPNOE0zwWB9c8IKrOPKcK0Dyk/9c8kVbhPIuC6Dzjm9w8S3zSPCIo3DwY2c88WmnKPOc/vTxwla48hDi5PBxxuTyR57M88Z6/PIXXxTzv0cs8mqfWPCFZ8Tx+yfM8Pj/rPOhy1jyLBNk8aP3sPD25BD1epwY9dF4JPZ0ZCz1HcgU9954FPaUSAj0FNAw9LKYKPQ1FAT29V/08J84LPVo0Ej3N2hQ93EIePSVZHT3KECM96usgPTWIGj1FExE9dE0GPQzSAj2P+P48wbXkPLbR1jyuEdg882LpPJ/tBj27zwk94674PJqA4DwWl+o8sY8BPcpk+Tw9GAY9YMkGPT4+BD3V6gI9H7P2PDmS9jzuIwI9dZABPZ4U/Dx1FgI9W0oBPfTq/zx7TQo9EGMCPX5eBz32sQo9KHgDPWBV/jzya+w8q4TvPD0R7jwVcOg84mj+PClD/TxGu+c8szn/PAHQBj3YZBA9gv0RPb/eBz1EsQg9eXwHPSG9Bj1dZQE9lGz0PBTq+DzMyAo9lcMcPbAgIT3dOxc98xgPPYtoCT2K9AQ9uIUTPXWUHj0nXSE9UAIbPasfGj00QBg9MKEZPQVnGj3iQyI9zH8jPVziID16pB49y4clPQfjJT2biCM9iYQuPZxgJz0FiSc9ZMYuPUBeMT3DmDM9Y/kpPahORT0q1Tg9T04qPbYBIj1/PBY9RP8JPfUQCT0GXhE9yjESPRqKDT1C7gM9B/sKPep8DD3/WAI9MLPuPEnA3TwnJuY80sf7PG9hCD0ozgg9/toCPf3HAz1PtRA9mTMLPRBT7jxS/d88NG7gPDYazjwg2Nw8AAXUPASVtjze4K88glC1PHzctzwR5bk8hfi+PBZ2szxjRq88F06uPM70szxribQ8l4C2PCRaqTxQZ5A8XC2JPKo7bjzozV48sPGAPADklDxfkpU8TjSRPNfMjDzp6Y08e/uVPOnGljwW0pY8vUmXPKIYnDwqqac8ZgCmPJ7kozzHBKE8Q8KdPPumpjzJ26s8eaOtPHCSsDxIw7E8SMOxPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfxclMT1750U90WuSPYIrlj1iqJE9FLmCPQwRcT2OtVw9U4drPczZcT0QI2Q9GylcPddcVj1Ohms9E/tpPSP6bj0IYH49y1WAPefpjj2RvZ09reGWPWtRkj1Jp4o98QOIPR9adT26ooU9OfiVPW+BqT1LU6I9iYiePfEtjD1KU4Y9KwSEPSQOhz2hrJI9jBSTPZYsdz1MvVo9UE5dPfC1cj2fBH89Cox9PYeMXD0jjlQ9SNdXPW/EUj3w4Fo9K6FwPVqzbT1lGlg9kxBNPbNzVT25C1894GNnPRUucz3szG094mtoPbw7Tz2qKls9gRRpPW1vkz3oO5Q9cp6HPQaElT1u+pc9MN6NPapMdz1ct2g9SC9rPai6Zz3vFWU9+shfPRc5WD3ul3A9YG1+PXRbaj1ynGI9gVBUPa48bT24+2M98eFjPRl/ez1R/Hw9FBlbPVfgPT0iRTw9b/o8PRrVSD3kck49sHJgPQbbWD26QGo9cxRxPf/mZz1pA2Y9Km5gPflZWT2NdF49TVNXPWEAPT0kOTg9EKVCPVrPUj0OIls9p3JjPVdwXT0C1lw94yRaPTTyUj3Pe049z1hPPXRRQD2VETw9cc04PVLILT0sfTA9rfE/Pe0ERD1l2kU9QCJEPZrIPj1jL0I9gaFIPYkmSD3szEA9KK1KPfqnWT2Fol099tBOPeiATz0cW1k9+c9VPSoxXT05Vlk96qBXPQMmWz2d02M9eq9QPasDUj2wVFo92aFbPQn5WT2syVU9SoZiPUKzbj2+X2s9fBxnPRGYYD0WiEU9pTM9PfeBUD0gTlk9YkVqPVSqaT13aW09ihmBPZC6fD3CElQ9m2VGPT13Sz0tImI9TaxfPWa+Vz311Fk9pYpRPQ/VSD3Sm1Q9RG9sPXUWXz2weWE9BJNgPd6KVz0Sllo9f/dePWSKfj1r9YY9vR+FPTgBdz2WC2M9Oe1bPcC2cD0iKXg9CLx7PUmTiz1w25Q972SQPTa9ij1ndYM9Joh/PYsCaz0c4WY9N6RdPUnpTT1QRlE9VxtSPcOKVT1VXXo98lGJPXhFgT0xmmw9G5hoPWvFXT2hCHE9fBaAPeFJbj1li3o9sXV3PUl4dD1uSXE9P4tRPcTdPz3lAUQ9xPdSPdXMZT3h+l49u0tTPc+PTD1tkEQ9SQ4/PTobQz1/xUw9hjZHPWZeOz3pSjI9MuoUPVn0+DyvctU8l1PiPPlT7DxAdNo8y4u2PDRTtjyeNr08uUm9PDOYtjxNl7c8hkfBPMMYzDw4BMI8zRO6PNrwsDzdZ6o8PTKkPOtiuTzA07o8wpyyPOZNuzy+A7k8s8KzPGRIujzn3Mw8ViHfPNZ2wTy19rw8jg2uPJCbmzz6t6A8uVayPOiMzDwAP8o8/0jCPF0pyzyUosc8AuaoPFLmpjy2za88cjfDPLOiyTxWtsQ8wJrKPE4KzjxzjL88zf68PBy51DwJqMg88uG5PEGExjxTEbs8Qy22PDQ9vjw7Xco8+ZG2PCYGtzwENL08bATGPLgxwjxASMs828zDPEnyvjwRlbU8T427PDrvyjzvYrQ8DqqjPKcsnzzMmZc8Q8ypPFUutjyEPLk8EMiuPB9htzxYSsY8Cr3LPOafyzy+keI8tGLsPPBP3Dx/SL08B4u7PCOnxTy6zc08EOvZPG3j3Dxls9U8hQ7RPCK12DyU7+Y8CCcFPdiECz3tqAA99NTWPArUsDyyKKc8qxa3PJ48tTxf7r88+w3GPFvkuzygjLM83OyyPDDsuzyvM8Q8J6vGPCg03TxIku88v/fsPLF+2DxVssk87Di+PIKOuTyW18w8p9vLPGd10DzWT8I8MhylPLv2rTzUSrI8bQSxPElLsjxEi8Q8PHzCPHWIzTyIweI8sGLdPDch1zxFkcY8E27APAoCozzne6M8VuakPOgpmTyEsJQ8mkKYPDWBpTyouZ88dRWhPBeUpjyqKaQ8kO2zPAyjvzzaJ6g8hCGhPILZmDxZFps82ciuPCbOuTz1FLg8GJi2PBw0vzxZVrg8qlOlPIg6ozx7Nao8vae5PI1GwTw8+788dk7DPNJ/yjyUU888omrJPA3kwjwrTLQ8ABm3PIZQtjyue7Q8HqK+PLxVtzwr5K48ghGsPJMeqDwgZKg83/moPFB/qzzhF6w8Qo+jPKtgrDyNNbs8bw66PEZutDwaDLU8rg+3PLX0rDwLbac8F9yjPITdrDxX7LA8w7CzPHajwTwU1NA8eW7aPM634DwT59k8St7yPHTz8zyLuOs8HW7fPBRD2jyCJdw8AffUPD1/zzwcx8c8xK7CPPTGtTwARrA8Cvq2PN1TwzwMas8879DcPOK76jz+afA8sxDlPApy5DyzseU8ysziPCIB8jyEge48SAHiPN428jwTPQA9XCP/PDAJCz3Z1P88NWD5PEOC9DzbeOo8QazxPP00Cj3UMxI9MR0RPesoFj0tqxg9HbQXPSLtGj31qQ09V2cQPSOvDj0rHQE9HlriPFZB1TyjOeo8DzfqPEJD9Dxm0wE9EU/5PK95+jzlD/U8LMz1PDxZ+jxCkfw8pwMJPXAkCD3KC/880QQAPaPOBj2nyQ49ikQIPUKk/jxCxf082gz8PEJ+AD34wAY9vlX2PKnW8jwOYfo87R77PB1G9zyT6uU8sk/bPL0e5jyflO08jIvsPGqH+DxQLQA96ZoDPVFYBD2KjAA9poAFPaBsAz31IgY9Y58EPbe4/DxzCPk8yLT3PFu4/zwPTAo9o1EMPW1zFT1UORg9kgIUPV9dFT0JTxM968EVPQ51KD3s6TU9iHc2PY+cMT1a8jM99AoxPSI1Kj0mtCQ9Vd0ePTRTFT3etxM9ICQQPTXXEz2NVRs90nscPdsaHj17WRU9t3MgPfX6JT3Jrio9qsQpPermEz181ic9uoIpPbJ1JD1yniI9FxgPPedQ/zzzaw09UxoOPUQaBz1RUAE9WloAPVwwBz23aQU9o9D5PBz/6zxIgfI8xVfuPAzHBz2OdRA9W4EAPdAK+Ty+9go9w6AQPbyX8jw4L+A8IEjpPAm76TyiweQ87BruPNE20TwhzcE8tAa2PEVPtTyJhrs8MMO4PLKrqDyBQaQ8aiOjPJRBqjxW2bA8CKO3PKsorjzZPJM88Dp5PBEwbDyc1G08W9aJPCjdmTyDOJs80/2KPCd0hjztF4E8yV6FPOS2kDzLhZg8/AuSPEu9jTxHDJg8OFWiPBcRmDyuK5M8p4KXPJ67ozyuup88HbOMPEpVhDw5XoM88IGDPKjkgzwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9MBiw9w6JAPa1kiD0R9JI9A8WDPS3KaD2gZ2M9oZVlPdRhcT29pWI9ptpVPZ5UVD1D6VI9z5FPPSWNXj3YZ2U923B1PfRYkT2Gepg9lwetPQbNqD0fEpk99kaGPc1WdD0kxnc9bSSQPRqPnD0IRZ89qhOZPVCBmj2DqpE9v0uJPaF2hT3wH4w9idKWPQyRlj2vtow98Nt6PRmNcj1BHXo90B5sPYX5Zj0yemk96+95PaJLfD1KYWs9n9RQPYdcSj1w6j89YZhVPVBUaj26YHU9y69tPYLrbD077mY9u+hZPdasWD3fmmU9lZ92PYnkfD0yJYk9OSWHPY2yhj0tJow9oa+HPS3cgj1mu2g9KmlePZgWVj1CA1U9poNMPYzcTD0Uj1g9wSpiPWrVYz3qjWc9ZgFwPZvNdT3O54Q9p7aDPdKwaj17RVc985FGPTPzPz1STzI9K582PTWyPT3Y+kQ9LSBIPaMqUj3isGI9Rxl2PeangD3JMn09Lv55PRcXbT3/J1g9QRg+PeyPLD2rijE9jZMzPQX/OD15DEY9MHRTPbQlVz0fYV49LwRhPa2TYj0CLlM9JqRPPd5OSD0sqkU9l8hEPdYWQD36ezo96AE2PaEiLj2ryzA9X/4vPanULD29aDQ9fCRLPUzNUT0VxFo9+X1aPRkZVD2RM0k9CUpOPc/haD3yMnM9d9FvPUKibz0mQ309d4R1PfU1YD2k42Y9uAdqPX9uWj1mPGE9DwJsPVzKXD01Ul09wV5cPSkZZz3FPHc9Yu9bPYKEPT1g0Ds9t05CPU+QTj37f0o9C7BOPYndYD3u92E9ihBaPVwrTz1RpGU9pRduPRyjZD1fbmA98UdSPeQpVj1bMV8961ZePcWIVD0Pal09M1KAPU3hez3KXW49KlxoPRp2aT0HkV89Cu1OPYMhXj2zjG094IR1Pf5cdD2TiHU9dShsPYK4Wz1jtVk9rg5dPeUhWj3BZ2E94qd6PRw/hD26rXs9p95/PeOzhj3/doI9djp0PY0DZj3GnFw9DyxgPc/WYT1ys209bkF4PdO3dz1lVGk9IxhlPa1VXj2W0F894R+EPV2FhD10JpA9KrCHPV2EhD0QxXM9+rpmPaurUT0I6kw9F6FVPWoPXz39p2g9NzVWPQOrTD09GDQ9q0YoPSikHj0tyAQ97l7mPIKn1Twx5b48S8qyPIvArjyAVqQ8+pOqPBICuzzBL8Q8bs2+PGuRvTw617g8yCyuPA64tTz0K7w8Qwa1PHzDtzydKNU8H77EPBL3vTxKt7E8U66pPKsLqDzr/bE82YuxPDNlsTxJYcQ8r3W+PITbsjweg748Y4bEPJIIuTzexLI8j5GwPNJQqDyucL08mWDEPJM5wDzr/c08kMDFPIWsuTySWcA8BL3HPO0RuTwktL48H5a7PMnjujw+/7087Jq/PD6jvzxJ4r88iIa+PK1QvzwnC8w8aLvTPPRk0TzaOtY80IfQPNbUwzy4b8A8xRPEPKzNujw2V7083Ma+PNLIwDysRsI8TUrHPJD/vDzxebQ8bm+6PA0WwDwBeL08XfqmPCrgmzyZkKA85yKfPNbEqzySaL481ti5PKcNuzxtQrk8aoG/PB1Mzzxx29Q8UYu8PPkisjxU+q08FfSuPAF6vzxTxc88zMPZPNW91jwp7tk8oxrYPJGh1TwtZeM8bXDlPKODBz2eGAQ9xtLiPO1OwjxUAK484eu2PHmfwjxUR848aX+9PKqwozwump884tmsPLoTrDyzh7A8/KytPHeYyDzCXPc8URUAPRAcBD2i9gE9k9roPN9N0Tzhbs88sYnaPLFX3zzFeds8rtXSPB0hvjz2YLA8OvqkPAsXqDyYfqk8W/2tPM65tjziG8U8GPzRPGGs2jzOMMk85G64PDg1sDx/a648UYqzPJmSsjw3wp08Dt2HPISnlDyNga48epKhPPWfqDxhnbA80RepPEb9rTyF17Q8AVGePB9qpDyNrKM8tLeCPMhiijyDrJk88fqlPG3lozyFXq088j+2PKHtsTwDi608mC+5PGnruzyjDbw8iju7PHbQyTzL0do85w3YPFuA0zxrAM885y23PGDUrDzF2a88A3+1PGRCwDyFB7w8erOxPFHxrjznkLc8ALS8PCt8wDxsAsQ8RGu+PG4arTxo9ao8EGWnPN9XrzwrE6s8bUimPH4ctTyuyq08sluvPOOIszzYUbM8RtOoPDXprjynhbs8EgrMPBbK1TyYqOA8TULWPNL+3jyKtPU8hsPtPKLK3jwJu9A8rIHUPNHdzjxDPrw8zpfDPFPj0Typf7w8/QK4PD1uyDyjLM88R3fMPMlh0Dw20eI8ZNrpPMWM/DwS3Pw872D5PEbM9TzTvd48Oa7cPH044jyZMuU8U/ntPMn18jzBagY9UR0JPWYaBj2sFf08DC/pPAwm8TzTWgI96jUJPWFZDD1M5hM92kEWPV5fFz3zQhs9qjkOPe6ZDj0c/xU9yWgEPc5R3TyA4P88SqwBPeYZ/jxQIwE9EtP/PJvKDz0xBgg99ZUBPRXtAT0gNgQ9bDEEPWgbBD0eLgo9/N8KPZrOAz1YLQI9Egv0PLHc5TxKSe88p3n1PBf17DzbePE80677PKDP4Twe5+k8YwPoPIUm3jwtI9887+DnPNTq4zzou/Y8+WT8PCuc9jzIrQI91FYKPcL/BT2VBgQ9iLwHPSTMBT0PqgU9bckBPUkq/jytFwA9vIUEPbPMBD3Nuw09U2kKPYMVGD3/Lxs9f7gRPXHvDj2Jhg89MUILPUthHD1UVDI9vBE6PTQFQD00wy89TuwvPb4JNj3peDo9FkE5Pc3ZIz18UhM9JDINPewlCD0RjAk9MmoNPcn8GD302Qw94ZAYPcl0LT1kZiY9880YPSIoFj2XtRA9m1kTPbu9ET26ZAY95AsCPYWyDD2n/A09huIMPSBEBT0kwAA9eNUCPX0hBz2lqwY9Sp4LPbAr9zxQDeU8xmbcPBOa6TyEN+s8hKP2PNMn+Tx/+gA9ppYEPcu3/DyVS+k8g77gPNCu3jxPh9c8GxzhPBbf4zxZJcg8FDm/PNxjrTyMvKU8UOipPF8UqjzrYaQ8opWWPONPiDw3dIQ89zZxPCX9kDxAMos8hMaBPAXcgDweDII8T2CbPI4snjyVAo88YfOJPOvcjTzz5Y88XMmbPPa3lzzTNpE86ySTPNcxjjw42ow8jS+ZPBeskTx4ZIk8bZSHPAEngDwlsHo8+3xhPHQVZDyjkFk82t5RPFkfVTwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/D4gOPWWtFz1dTEc9f49OPTDbPj0aT1I9L35TPR7zUD0UNU89dQ1kPWsvaz0QYnU94niIPaIIgj1NynQ9pXBwPRncij2/2as9HTixPRzrrz1xVac9L++JPQMPez0AsoA9o0CBPU+Ahj3J1pc97cGiPXIMnD1RzY89vauSPWEXpz0QwJg9ujqHPcbyfz0bU2o9+6ZpPYzScT0hIHo92rd/PWQPgD3Y44g9JGyIPWgPgj0s6nc9hh1wPVD5ZD37+Wg9OYFpPSX7cD3BWns9iYtgPSCFVj0XAXE9rPVyPUAVbT0ej1U9pMZlPUdRhD3bGYM9OlKBPRNOfj1l1XM9hhqAPachgD22O3U9drZoPXhOZz3JP209IG9xPdxdaj1Admo92oVrPXjzbj1cAoU9tyaIPZ2+hz2EjYc9AnuHPU02hz2SfHI9TLZVPWwxQD2aF0I9GLhCPerEND3/uD49+3BMPeCMRT0m10c9bt1dPZFlez360Hs9dqBdPSLsTD33Aks9IPRIPc06Vz1d+kg9uRkuPTq+Nz2D+z49P0tUPWgwaD1JJmU9hNxcPXHrVz2A9FQ9ddRjPTklYj0UN0w9dmxMPf1zSz2myEY9FwVMPf5MTz0NCjg97fAdPTY9LD195zU9ivE9PXIQRT2tnls9KHVvPUTobj3mUGg90/NhPXwTbj2/Y4I9UeaGPeW9hT28kYg9c32HPc11ZT3nKmc95ZhjPXQaaj2kuG49iP9PPYiNUj1dYlw9RpNxPQ5+bD1+XFU9VopHPYngRj3EbU89cZ0/PRptQT2RjVA97LpZPXbuWT3zdUU9TSZTPcVKVz2O8G49Xnx8PbDxaj2b3ks9hHQ9PVYJMT0sSDw9Rn9OPUY+Zj1I/Es98DVNPVodUD2L32c9x5l9PYq9fj2nSH49l2J6PVQccT2o1W09s4tjPVRbWT2DiF890mZgPVmqVj1aBko9RAVbPdfyWj0ikl49+oZePVOEYT2iaHc9MtOIPfvskT2qW5Q9ZPiYPXHSlT0ZDIA9qFuCPUERhj3pG349aix3PSJ8VD3NvEE98fZQPZqdRT0Yxj09X2NHPZaLZD0PXYM9UzCUPYfKkD2SsJA9H0+QPRwwiT05B2896PRlPRxhXT03NFs9iRFaPcWzVj3/yVo9QysuPT0NGD1UGhc9EGAKPW3I8zyZ2NY8cy7QPBN31Dw5Ycw8ZLu7PNXpvTyBSsA8nJnHPDRBzjxUeM48AUjAPKHesjy2psM8CervPPIQ0jxWvcQ8BBSzPO1jxTxMYbs8oWHBPHaj1jzJ8M08ulvaPHmL0zyzm648873CPHyjvzzaE8U8RqPQPJqRzzzLLK88S1imPM0+ozwfbqU8pQmtPISjtjxn3s08jwPCPGnjtjy+a7Q8ZfK2PByaxDzez7o8j561PDsmxzyQGNA8t0LQPACqyDxrxcs8IgfQPIdVyjyetdM8f2XTPKlSzTxXOdE807jBPMxYvzxejso8csPbPHUu3TzsUOk8xwzKPOJqzDy8h8k8+Wi9PACDyzwpe888s367PFrjwzx2WdM8b4TKPJ9qvTxJBbw8Lq3CPITOvjxyQrk8qPrGPFtCtzyamr48na3APPjtvTxq88w89pvePGkZwjxjk6g88ZyxPPmkwjxKaes8H9HvPDrbyTwL4so8k5PHPMz2zjyXKtw8wbjYPNsGzDzR/Nc8AYzSPNw7yTxQeMU8GyjAPJC9vjys1sM82c+2PCzUpDwE2548m4ygPGjftjxsUsI8b3rEPHzL1Dy/PAM97pMXPXxMCD29QvE8F0PkPEF5wTyQA7k8/fO4PDtaszw1qa084L+zPNjRwDw4W7M8cASuPOylwTwsK8U8yL/BPLOpvzyRG8M8/zLAPOJnvzwtZLw83hmxPBFWtDyzB8M8ffS/PNB7uTzdM7M8RROvPEr9qTypaZ48qX2gPK6XpTz5DKg8Z3enPMbIljx0gZg8JeGgPMdYpDx03KE8aDepPLWpnTzXWbE8fIq9PAPLxDyMMMQ8I+W1PF21pTyKX6g86EqyPDNAtjybobI8M5OmPHCtrzyty8I8lrvYPBcv4Tyind482WXHPMU1rjwVo5w87pObPNN/pDzwO7Q8GM7EPM2rxzyAHLI8sL2rPCJApjwbfKI8WaeoPKSdrzylGqI8qVaiPN2Ipzz7QrE8ztO4PGi8qzz9TqU83iarPF0XszwCea481Le5PL//vTyM07w8LRLBPBuwzzyNGdo8SNz4PGxS/TzFHeU8PgLjPCBs6DzQD+Y8DkXRPHduvDxmlLY8Z8e+PMu3ujzru7U8NSu/PKQg1zxqBOw8slv/PKsT7Dwch9A8XFLlPBToAT0X2gk9HpUOPcAoAT2+lug8IPvSPLXQ3Dw+F+08e9LrPBD35DzpuOw8uo/+PIRKBD1WOP88yCf8PGwuBT3Jlgg9ddIKPXJ6BD1LsRo9f+AhPYNwFD1tGQc9ycQJPWyxCz1A7ws9V5EIPSmMBj3X+gM968oLPY5RAz2kzv48FT4APbPVBT2/8RU9ev4LPVOuAT1fxwY9mEMGPXhmBT3YxAM9b5r/PMLG9TzTIuk8G3TpPJ4S5Tx+guw83qf7PHTm9zz1mPE8e5LwPMmb5jyRr/A868f9PKtI6jxIU9s8/o/ePNjM4jyqVOw81lABPSh+Bz2VUP882qv2PI3p6zzp9vo8C08FPUFuAz36eQE91Lr7PMkc+TwQl/08pFL+PEf2AT1nhQM9eUwMPR9JEz3VxxU9lz8ZPemWFz3OWxU93aoXPfsbEj1/eBk91tAhPTsmHj0+4h09h2AiPUwtKz3WXik9kK0mPYBwHz2vOBc9f3QHPehzCj05ZAM91NEDPYSGBz0cDQI9BLDkPIxD8TzCGwg94GwKPR1TCT1H3xI9TLkPPWc8CT3+2gw9WfoKPVhXDD1okxI9iX4SPY47ED0Z8QE9S0nyPMlg+TxMwAA9cM8JPRIQBz2D3AA9LZ4KPdCpED2wUhM95TsBPWvU2zz/HOc8tRf9PC4TAD0/E+s8WnTRPLB31jxU5tU8w5HUPByv0jztx8g8DwPFPJ94tzwipaY80jilPAF8pDwJiLA8ty68PBvtrzy0tJE8XUqIPHJtejx5THg83NeNPBFApjxvnKA8AfiVPNbekzzZXZM8kISEPGK+dDx04YU8DyOMPFnyjjyGxJc8QYSOPBTLgDz842k8SSRkPHwMeDxHdG88mpBpPNizWjyJPkg81QNEPAmiQzzyEEI8ZbJIPAwpRjwDt0U8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf29s7jxfrAA9K1QtPYayHT0TNhA95dZAPUGABzxVsCs8JWzjPFWkMj2tDB492n45Pc8LbD0kZmM9a4ZNPWI1Uz3ajHo9uuqWPem8iD2E1YE97FFVPfKrUD2PQ1s9j+9hPQW7hT3LAIc9fkaQPTTblj184ZM9SXKcPcqPnj11UZs9NoCMPXxmcz3dqVU9vPBHPUvlWT12/F49Ydt0PbXyjD3xv4495gaWPXsdlT10LJo9ZsOdPY5fpD0/mKU92dGjPdABnz3ZcoY90rVmPRhPZz1kuGU9IBtVPU/pTj062T89ADdQPTotaT0vA4g9mE1wPV7yYj1Rf1k9Tc5pPXdDcT3Tklw9EWZgPXqSYz31snE9Z1t9PWIaaz2GnG89qYODPUrnhD3YDYI9fwx1PcaPiD3bgYY9t8dlPRw6YD3kJlI92cFIPXCEXj3FFV89w+tVPVUGTj2AGFs9Bf1iPUgZXj0eJk894BpMPV7OVj3kwVk9NAZJPdEqQz09/1M9Cv1SPV8fWD2ubl89CdxIPcgyPD37bT09SB9CPRakWz3egWE9y3hTPTySUz3JV0U9/UVDPc1VQj2Jf0w9Y/pMPYFgQj1N3kE9JxtDPUX7SD0bCUg9rulJPUYnRT26TUQ9dm9DPRPbRj1tpVY9xi9hPUcFWz0oYnc9SuhxPUi+bz0EcWg9PH5uPTvygj1LzWs9fFlrPSA7YD3euEc9wJNHPX5dUj1j7lY95MxXPUW8Rz1GGjo9nOM3PYnoLj1dSS89rCsrPUxEKz0ZsD49aspCPQNjMj2vuDY91cdEPXZvXD08CVo9ZTxSPR1YZz1m9WU9OrNlPfjiVz3jA189nshlPSsyTj0iZEw97IhTPSC2cD2Pnng9I/tlPcf6XT0EJWM9nl9kPRadcj2nAXk9l2xpPdjTUj3+nU891vlDPRSUQT3LIkc9rDNKPbw8QD130j898ulQPWcHVz2fvVk9DH9tPZwyZD36E2E9+Y6BPRcfkT1ex449xjWLPWM2jD1N4I89M7uWPSNkjj3zAmU9LwFPPZ69TT3pPUE9ZU5HPdN7Xj3bGUs9EGw3PZz1Pj1sxl899NCBPbP/ij2hUpI9rJ6UPZYMmD17gIo993hbPRd4Qz1WBUY9lXRQPcuWVT1k61k9RXZjPfmiPT2RYSU9REYjPdsoEj0LmPI8sWbhPGBt9jxNy+g8rJ3OPDSvxDyY7M48KnHGPIFOpTylSLg8iuzXPGck1TwK0bs8hHGqPNdRvjyACtE8RobIPHLkujwDEcc8WcPAPM1CujzF1sU8m57OPNVQzTwYJcQ8Zim7PGqK1DzIadM8X6PUPDr43Dzkwdo8UubaPJhB0TxrEME8PKW+PLPXtzzPDbU8CcPBPCfNtDwJhbs8jXq7PFtbujwsR8A8ge/DPNKjyDxgb9Y8o0LgPJQ34jwAtM08ojnYPJQt9DwFRO48uFbePFNDzzx8tcc8/LXAPEBJyDxE+9A8CO7UPMfD2jxg9MA8qwq8PMdLvDzJEsk8dQLKPHeYwzyYU648I72ePJI8qTwF6rE8+CPYPE771TzVtrc8tunBPJO1xzzpabs8SzOtPA+XqjwvOro8JQi8PCmDzjzdZdE8lrXbPHKs2Dwgzr881t/UPCFtzTxUnMg8SB3IPKJhsDzGnrU8m7vDPAb+ujxzMr48iOjKPEgC6zzXH+g8/XfXPEcgvjynvLM8DtO1PAxHxDxUEcE8VyDBPBKYujz4cL88HQW4PNFDqzwHdME8/8bcPJj05TzUTPM8K4H+PNvsBj03u/Q8HnXePKIW1Dzxosk8FFjAPAAqqzzcUq48Uw6zPOY1szwKwLg8gTO4PBtMwDyUd9I8L+vYPN3k1zwdics8t0bFPD8UuDzEZ7Q86Dy6PPSXwjyXYr48ecC8POhLuDzA5Kk8LkemPPlSpDzIVqM8gVOZPFk2mzwIw5w8866hPMMyqDxKxqk8nuanPAIJsjyWbME8cq7EPAmS0DyUGtg8zGy+PCYl2jxGBMg8WtasPB1DpTzwz6E8bKKqPM2UrzzlW7k8BnW5PNwlrjxftq88AF+mPIAysTx3Kb08ipW/PJiYqzzhdao8Sa21PBvTuTzTyr48jlG/PJWpujxMfag8QgioPH5JozyBQJo8NNiaPDePoDxlCq08B6WyPC2Yvjyx08c8Q3jDPB2uujx5z7A8+rGwPF5QuTxIQbk8nZW5PKh2vDwN3Mg808HHPNqEzjzY6dA85KviPEUH7DwxKPc8rUrvPJF+1zwYadM8N83SPOG10jxlG8E8dm+3PF6eyjz+ONY8y3bMPPNpyTyu59c8+bLePD2/8TxwgP08v6IIPSWnAD0NmA49h5oMPZn8Cj3SrAc9i3P8PCaK4zyCkdc8e5fZPBKb4jyPGu48/zb2PEZa8zxDRO088Bv9PC/8AT1iOQI9HaHwPHz0Cz1/mQs9LQoPPWSTFz1OChw9DSQEPatDET1KjxU9zsITPXadEj3QSRw97SEdPcUqCD29qPg8Xor8PCBY/jwjEPo8+Y39PJJqBT0McQA9q/UEPcwoCz2beP48jbLyPJFS9jy1FPQ8vTYCPfyMAz1YC/k8U3vzPPkB/zz6s/U8+cT4PALT9jz/FO08oLDfPCVS2Tx10Ns8rVXbPA8m2Tw4ldQ8wQrfPEci3Ty0+OQ8wMDkPGQP7jwjnvo8sED/PNm9+Tzy0vI8E3D0PLj+7DzL3ek80kv7PLlsBD0CXBA9VFQYPchAJz3p4BY9XZ0cPX/SIT3yTCA9XOgcPRgGGD09JBk9PhQYPVg/FT2ByhM9gKAUPWAhGz15Aho9mHwcPQDqGD0Mgww9ILQHPS2kBz3dAAI9YcD8PMDD8Ty3KwA9qOwEPbzqDj36+Ak9yOkNPVnUHD2Pchc9GMEOPaKFAz27tAM91s4QPasjFz3HERM97+gTPQOcCz3CsAg9U8QDPYQR8zxTzu88FHPuPCV04zwXut88JScDPfeLDT2Iwg89C74IPcHFAj2ze+486/DvPH9s5zzolOE8kC/hPC7G4jwHzdU8SjLMPB0duDzS9rI8Sai8PDM/0Dy6sr48F6WfPBEEqjzWybE8x025PN6Kpzw8g6A8hF2FPGN0djzYqXU8LS18PMjlnjyPG6U8d9eLPHffiTxoSow80ImWPPVQkDzXTo08ixeDPNR4fDyboHs8WwdqPF60YjwJ0Gs8phdvPNVCbzw3q2M8usRJPPvhSTyaDT08lDo1POgtMzxabC481n83PPVhRjybmk48t5VSPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/TK4nPX7cKT2G+DE9btBRPetuYT0fRVY90LbKPExNTDwsJgg9BEdMPT6uIz3Rxj094A5MPYUMTD2hnj49x4F/PVeKiT1bMW09otRqPTrGbT2m5GY9cSlQPXPLVT3e/2o9KPBmPT1xeD1UyJE9gGuTPaRIkz1/u5k9N9mbPeXQnT3+E5g9BE6GPRtTlj2pZ4k90IOAPYWKaj11OWI9lSxVPdMdSz2jb089dcJMPbkZYT0JzoQ9dAt1PVK1Wj35E1U9lD1RPWcIUj3zjEk9+21JPcMGZD3MdnU9mmKCPQI7gD3J+H49XV+CPXfiij0USIY9l3WFPYydjj2gYpw9kqx3PVp9RT1LOEg9VXpBPaWsRz2itlY9+pZ0PYUDfz2fBYM9HyOFPWP9ej1/goI9XohZPYv9Pz2S1zs9HBc5PdBHPj2jMkg9gZlMPU/HST0Xek49r0NUPagNRT28YUw9hGtFPYxqND1LLzU9ZrwzPa6FNT0gvlQ9amdiPU9zbT2jVWs958VaPQesUD3rSFE9LvZDPX8CRT3vok09sfNNPXYsVz2qbF097D1kPYQ0aT3B/HI99RVYPZ6TQD0QTU09Fs5RPdOBQj3PwCk9ges1PU8pPz1Pn0I9tUM2PeP6Mj0/iSY9EQQnPUGbND0jwUw9Z+dNPd9MRD3LpDM92q4xPeOzQT0n80c9RtpDPWNGRD0m/kM97S47PZ4jND18cUg9/YBNPbtzWT0D1F89o3RXPRlKVD3OFFo9oktfPbnYVT2UT0Q9nMlHPabrVT1aAlw9ab1bPXftZj1gonQ9d4J5PdQogD09AXI9d1J6PVkefD3V3Ww9d5J1PRFIfz3gCXU9Dv9wPYahaT2g6l490sJNParVPD2tITs9D9BGPQK6Tz338E89YLRgPf5EZz21YmU9tyNxPUbchD2LxI09yl+KPcaRcT3ia249wGl2PYyaiD2VZ3w9hKxAPSWVQD1onEw9WVNXPcKFcD2L+IA9pMNqPf40UT12tFA9YBFlPQg5cD1iRHc92jtyPVIqWD3cYFI9aJk9PQRjKj1yCDI9YNs1PXOWOj1C2Tc9mAUxPUwyLz2BmjA9PoMbPSPjBD0Ku/88Hg/yPEaW9Twm5uQ8W4nVPHsSzTwL7c88ZJXZPD3CuDx+Srk8aBizPJmptTxjycM8W6zUPLIRtDwmqa08q2S1PI1XvTyU37c8JAy0PGMrtzxz7NI8JdvlPLKm1jw9JtA8/dXWPO5/yzzo/sE8tIu+PPHuwzwSUdY8XADKPKEQuDxz1788r2/IPHuDyTxXg788wiW+PHMktDyFLKo88YqnPPHIqzyv/Lk8QyfBPKwfwjyswNA8HjfiPL/v9DxnlP08parePHJA7jz8LuY8vLXxPOL/8jyTjOs8l3bMPFTB0Tw/Z9g8KNDZPMPHyTwWWsc8lAu8PDznsTzUYrg8BfK6PHxzuDzByr484oe9PENyqjxg8bQ8vqjBPKSMwTxCW7w8lbW2PAZFsTxNebE8qr+1PIADsTwpOak8p13IPJ2fzDxz+dg88n7hPCiy5TyNWOI891zfPBXc3zwhydM8UhbGPDXhyzznD8k8YbfKPPB8yjzuPL08ZAXFPMkg4zwAwOs8ZQPoPH7q4jzgJdI8v77JPMhgzDxPc808Fl+2PBUdqjyLqrM8547KPLyr5TwhO+c8PtHvPFHx8TyASPI8W4r4PC5a+DyIgfw8vS74PGOu4jyUIdo8vVTFPCsNwzw4cso89W3JPBO0yjyDiMs8ut7DPCkdtjwZ6708rAnYPO3p4zyR6uM83PbSPB6FzTzTJ8M8itOxPHLBvzzuuM08Mra2PF9DlzxyF4480NKPPFVFkDyUwZE8EdSYPCSUmDzfH5Q8xBmUPGERoDyYM6U8IY6oPJAHrTxCRbw8R+W9PF1ZxDwiOsI8fhS5PN25rDw38rM82MyyPGYPrzzEJK08eZ+5PIVV1DwD8Mk8GBLDPMQIvDyMUK48Xg2hPLssnDzh27E8lzi6PHg/vDwjKr88tuqvPMY5rTxKC7c8yx28PA49wDyvW7I8a8igPEMqpDyd0KM8h8WqPJH1sjxmKaw89VqqPFptrzz2SbM8sHTHPAXv0DxiWsc8iTPBPBpKuTxCVbQ89AKyPFD/ozwoZ508GdW4PFRbvzzZ+L08OGTHPFW10Dxhb9I8ojvVPDdv0zxRD8s8yKLHPFAuzTwCWsk8GkLNPLpr1zxG9M483V/JPELkxzz+tLw8WFbLPHGO4jzepu48w4PzPMWq9zx2Dfw8lOIEPSd+/Tyd+vI89uvrPEsF2TwBJt88N63ePJ4W7Dx+tec8skvePA7s4jyA/PU83QL4PAB9BD2XSAQ9S+EDPaEbAD3gSAY9E6YDPYO7AD0ZKgA9YIH8PMNF9zzuVQk9R1UVPYTlGT3j2x49Q8scPeCDHT1tUBE9DxMLPQSzCD3tpwk9g3wAPQzYBT1zZws9Yv4FPQp6Aj10EwM9XWr0PFHq5zwQPPM808zdPN6f3jz3FeM8AHvhPIZm4zwfI+g8tk3vPHmN7DwCJeo8be7hPOse4jz6kew8BCXpPN0y0Tz8isg8yey/PNEWwTxN3OA8BhzsPA3k6Tw/LvA8vOn1PHWK5DzYpvA8CX0EPaFpCT0SbQQ9oR79PEHLBj05BAo96MoNPWWeEz0CqyE9N1cePT2UIT06ERo9lxoJPRkvAj37/gw9xOEYPTz8FD2HyBM9HpAWPe3YHz1yAh091KcRPR3JCj141/08jT7rPBfV5DwfrwM928v6PN0S6zzT8Po8KYkHPehtCz0c8BQ9EAkSPadrFD3XpxE99RoKPdIiCD145wc9U+kFPYPzDT3OAQw937gFPbazBT1w6vg8hoPwPJOH7jzue+88vfTwPBnd6jwjYNw8rqfzPParBz1vpRQ9rR4VPSv+ET0Qku88DAvXPCNuzzxtMsw8qznOPAdy3zxWnPg82XLtPC810DyCp7g8pyy1PMfKxDzav8s8fhrDPI0Trzz/mJo82+qWPK4XjDycpHA8OsB4PPMNhDzrTok8GFCKPFW+kzxLNIc8NJOFPCSGgTxUhXc8ill3PFEYhzzM6IQ82SCAPKTgbDyCNWA8sldiPEWFZDwl8Ww88FZxPPS1WzyjqUo8fi5GPC8VRzypq0Q8nOlSPM8fZDyWn248UDl0PMB/wDxFySE91ixnPUemhD0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8YjRw8qGvWPFddXD1rzGM9H04UPS7cDz2cvS09IthQPQD6BT0HuDA9hu8rPfInFD0000I9c+eGPQH2iT2PSoM9HIWXPWwcjj2Fd4g9aeJ5PY+VWT03g1M9CmZbPSF/Uj2bOE893kRWPfAvZj2y6mA9jX1SPVJUTz3kNFQ9cmFkPcp0bD3Ajm89d+VvPQLybz3FDG09L3VlPc7iZj3l/W09rBOAPc3DhD17C4U94CSAPbYqgz2cfZE9PoiPPS2xiz26xYw9Y1yPPc/cYj3NYjg9aWJDPcxUTT1m11Q92ChdPVzQgD17fIw9t2+NPQ1djT3OREU+m62QPkKVcT3p1T09SWA6PZbIOT0tkUY9Ns5QPShNUD3ZlFM9g2BbPdliXD3FIEo9HYRJPQj8OT05FjU9vzI1PTvdLT0FIDE90G9KPffKST0qCk89EN5aPVmsUT1uUDU9cHQ7PRKgOj1b2jo9Ev1BPaQRVT0Z2lw9bx1oPShrgz2Uh4I9N+ZwPV+0Rj1k0yo9kKchPbtnGj05chk9W6wSPZxNHT3/5Cw9VnE8PcjLNz3QcjA9EMMwPUOfPD36c0M9/JhBPe20Pj10gjo9xpI+PfF0Rj3Y1Eo9/6BDPeUMPD20d0Y9POxXPb9wQz1/k0c9nTlIPXJZVD1LjVg9plJOPaAESj1D4WQ9JJ9oPZOUaT1J8GM9FJ1ePUV+aD2+pms9k7ZzPYwMcz3Po3g9sxV2PVISbj08JGg9zoxpPQthdj1oVnQ9mxJ8PaW9hT1TyIQ9XtJ5PRsggD3uB3s9Ku54PSPvXj2C0EI9vqk/PTLxQz3Gs089Vw5YPUKBWD0Xh209WA+BPX1Wfz0XG3U9wXd1PTzqfT1xOns9rmZ/PYDrij3rOZU9xCWBPd/wZj2tY3A9naxoPZbkbz3bWnw9xBpoPV5OWT3m/lY9Es1IPfvbUz1BRWQ98xhTPR/xUT2BakI9mJo7PX9jOT2wFys9QaEyPXTPSz1pc0o965M3PcyyKD3qqBM9DeEJPf3u9TwXz9Y8oxvVPHTI1DwnkdE8uSK9PHwNuDwj/L88ugjBPBm1xzw4hLk81hq3PMY3wDyEMLE8RN6zPOI+uzxz9688NKSfPNvPqjz1y7A8A1CvPDf0szyJga88k4S8PHRVyDy3x808BrPOPE/P2DypH+M8AzXKPNS8vzya7LI8S5XGPLkT1zz/wcc8nhLUPO7a2DzPN9o8zUfEPGj/qTy7vaM8T1egPL2npTw1J7A88W6+PK6eyDzuvs88V7vVPDEh5TxQTfU8rz7rPJOe3Ty/id48XHTZPHr20zw1kdY8w/jXPNpOxTxbFs88v1/UPN+NzTx9Isg8Vj7GPH6yuTwKMbs8X3+9PAhzvTydCb087VPHPKJuyzxVw8c8kofPPA2CzzyZXtM8ib7HPOjWxDyhqME8ZI62PG9Mrzy5S7k8NV+7PCtKvzylN8U8Mi7QPJ8U1TwfyeE8InvwPIZQ5jwfGeY8HCzrPKvo8Ty8V/s86SQBPbMa6TzmlNw8u0fZPIAe3Tw12fE87qnuPPy+CD0K8fw8VFXMPN26tTx4Lbk8ahe6PPs1uTx/cMI8G1DhPEuk7Dz+gwQ9SF8DPcC76TxdkNM8UOzUPCO/5Dyhxu88fY/gPAC5ujyRcrc8FHHMPKohzTzkIcY8ts/CPHqHwjxTvcs8DG3UPITN0zy7gNk81wH5PKVjBj2P1v48vhPrPHwS0TyDJbo8dtyqPEMLnTwUMak8cKWrPLV8njwXXJk8vd6LPEmVlDzxn5M8BRCTPKOwljw3vZo8cf+UPMgAkzxLKZA84YKOPGGjoTyuCMY81tS5PMsYmjyKUZI8KQOOPJ3akjzo0ZY8pqGtPLXOuzwJEbM8scS3PNJMyzxYBMw8JSvAPCdPrDw7PKQ8CmijPJ2SoDwIxaU8n6G5PHX7wzzt48M8S1+1PBQzsTyQM7Y8K7bFPDclujwpDrA8oumpPMqQpjz8F588bPChPAqnrTzCzrI8tzGxPMNBpjybCqk8YEmzPBv3wTy9db08Iju3PFY9vTx9/LI8jHqnPJVHpzyhu6U8fYKtPJ9FtDwZSro84l23PN4nsjwxzq08DPysPJk4uTzAV9E8d5PNPE78wTxSysY8rDrMPG4Q2zybkPA8ZFfsPHeD4DzLj8E8ijGyPAwruDzyn8g8HojcPAQA4jw3Ou48gvoIPS7JCD0YWOs8owfIPJNwvjzdk788/t7MPIq+0zx1Ndo8M5fePHYP3zzwr+o8adf3PJE0BD1fqAo9tH0HPRpUBz2BPQ09Pi0PPWYBBT1Unvc8HFz0PObd9zwlzwE95cUHPUu0Dj1tfwo92KkSPd+tGD3koRM9tCP4PGp5+jxyQAM9a/oAPcX0Az0zTAM9CcoAPcCGAT3MtwQ9lQ8KPVL5Aj1fEwM9vJEGPTD45TzJr8o8gOvIPDgA4TxyKvk8oP/zPOHl9TxmW/o8zA38PA069zyBr9E8MPrZPD2b7TxO7uo8jDLpPGOK3jy6yNQ8kcLfPA/B7DwzfvY8yC7vPFiV9jzCauo8X83/PDTOBD1uEwQ9J7ADPWJQ+Tznx/s8D6UCPT4zCj08EA49tYcPPcYCDT1AYw494E0LPYA3/DzMHu88KAL6PGfdAD1gnQY9PasOPUM4DT3Jjgg9R20QPX2IFD1xtgI9CTz6PFs0/jxg5QA91UcRPb4eEz1/EQU9M0YHPe/fAz0P3QI9OEcMPdTvED2CCgY9hmYHPdS6CT3Qqwk9jjz8PMyFAz1kbBE9JZEIPaCVAz3KMQM90uP2PIVg8Tw6puk8kPDbPML1zzz1pMw8gDHWPKN/9zwB/AA9AnQAPY818Twn0ew8KbncPKiLxjyIBbg89TvFPAGa3zzpsew86iIAPVgH4DygAcM8fv2xPC+krzzcrrM8etu/POMiwTxxlqQ8eKmHPD6ieTwKUmI8vS5OPMjwajwFMI08VcSTPGAgkjwmaIU8Q+hXPNyjSTxYY1E8j5JdPLg0YDypnVQ8gO9VPE0SXzzGKG48ijhpPOKXaTw6DWE8+rhrPNsvfTxVGoY8t/eHPJcNijztwrg883QdPe5cWT2nBL49qI76PYQCAj77hBU+6jIjPkFxLj4G1DM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfw0KPz0NCj89jnc/PYsbQD1KDUY9UQw8Pc3yVj2LKjY9MEo5PRAQRD2pQ0k9gpJRPVF/NT36/Dg96bxGPRUNbD1CKGc9cu55PdfTgD3bMoI9OZKBPYrEbT2jH3M9d0KHPUXhjD2s/Yw9+U2MPetsgj1FMo09OrGZPXcbrz1DQ6w96YmaPWgaeD3aL1Y9EKtKPWG1Uz11oFk9GspiPcs2az2ATWs9TsOOPVO6nT30aJ89MVBzPpSM0j7p84g9KEA6PfO5OT0sZEs9edNzPQovaj3g81Q949ZmPRI2aj2y0nE95M9dPbZKQT0ilkQ9R5VNPV9rOj2dRzU95Go6PWOcTz1FHkk9fEtAPcDAQz3wKUU9+EI9Pb7bNT3UWDQ9Nig4PTMTRz30Ck49xo9RPaRpVT3HuUg92V09Paa8Rj1Cajs9t5IhPaQ9KT3p5Sw92ksePYNFGT23ayA9+QouPVSBNT0GwTM9igc2PY9pQD2l20s9oxxKPVeFOz1QHz49eQ9KPdHjSD2V/UQ95zVEPUjYPj3yjUw978JOPVu+Sz3pvEs95g5OPdyIUz0fyVw9XMpbPT5yXT2AuWI9vNBpPbJhbD2dHnU9ZriAPQB/dz3VF3c9Ffd8PdSpfz2fknY9UdOCPb86fD2ckmI9rT1XPZS8Wz1BKGA9gS59Pd/riD0tw4k9LYaSPb+6hD0sd4Q98EmIPTCsej1TC3c9LNZcPQsuRz0WiUE98HJWPUwGgD1J44Q9pwmJPTn1jD3TqIM94Px4PYuHcD136oI96b+LPaY9hT2LS4Y9HiOCPQHlaD3MYG49vrloPSEzaD1uVmo9DrNpPVtKRj3UcDI9vFk0PUvILj1Kryo9qsAlPblEID0COyw9V/BQPRtRbT2043M9/Sc2PRaQED0jkh09vJ0ePRANDD0QyQE9U3fhPIIpxDwJacY8V8vHPInKyTy1E8E8alK6PCSntzxVPZ88vw+yPMVauzzhZMA8ep+4PMzOtDxtPcM8GnTEPOSIvTxpSsU8Fwu+PHwDwDzO4bY8c43GPOnb0jzcwcs8MaCwPJiZsjw1mb48WPrJPJAFzjxkPso8dFPbPEmf3DzeYtY8PWXKPGGQzjyve9Q8tNHLPOvFwzxbfLg8BLqzPObhsDzGY6A8VLykPEnTpzwJT7c8N4y7PINBwDygnM48wwnPPCcq2Txfjd08JVPnPAhs6jxTbes8+ILJPAxJ1TxV79o8L03bPGVazDx3Gbk8A/3FPJaR3zx85NU8cGzIPCwIuzxPCL082kzPPNq40jxBEd08grLfPJtg2TylCus8OXXjPHy00Dwhob48fG64PGNcxjxD0sc8Y5jQPN6s0DxQAM081uvMPN8o0jzIjNg8iQbVPPlO6zwi9+48D8PqPNFu9TxgvAI9vA8IPVoWDD1GoQs92DQOPd4SAj3nQvo8vs73PIdi9Dy5MfE8Qu3yPE5C4jxYgNU8jx7APLbevTzCFsI8TRrDPOqAwjyHAMo8CIDvPFH0BD0rtwE9I0PrPGp52jzegOQ84nPUPJi41DyXmdY88b/cPKfqwjwZFLo8lqDAPErS4jwdC/M8Sg7iPKl/zzz6pMY83jrPPBfO1jwTBNs8FtDbPIo59jy0J/g8WuDuPFJj8zyZGsk8WzmnPPuqmjxv35U8INihPK09pDx+HKs8YUusPEOOmTz2kaA8aveTPCqGjTy3k5g8uiubPALDoDyLJKA8IZChPDt1pjyaQpE8GJmDPC5zijx1sJs8HmOnPEXjoDyl3Z48kaygPIfEpDw1Y6Y8seGdPAiynDz4Vag8RzmqPGcrozwkvKU8OeatPNRHqzyquqE8cjarPHXxuDyD8MQ8CSnAPPNIszzrH6k8Wb7BPLrHzzyW+rg8R+mjPHEOmzxSv548y9mbPNYCnDxhqqA80ZWhPPB/oDwpu6Y8MpyoPBTTqDwAvrI8nIi5PHuouTxPpsE89Iq8PAW0wTw04sE87/+9PLmytzxmy7o8Wm+5PPSjsDxDXbc82WK5PIVBuzyWn7U8h/y4PE9mvzy0IcU88NbGPNrZzjzhdt08LtLvPBwl5DzGbtU8LkrOPDs/rDztJa88utHAPODhyTzhCNs8FnHkPFjxBj0u+wU9WAbdPFPuujxGUrk8DQa9PI/9wDwCBMQ8ov7LPOuo0jxsvdk8DdPvPLiJAD1KsQ49pkEdPcnQFj0kAg89IkQePa34GT2efQ49HJf4PD0z5DxlhuA8UO/pPGdeAD1ZIwc9OOsJPQHeDj03wxA9YZkCPcuo6Dy1XfU8T3cDPeADDD1YzQ89P1EMPQ/YBT22hQk9qIYNPRTWGz3l/CE9B/UbPWZ7Cz1XUv88rf3ePL2v1zxKe+Q8Qmn1PIkZAT33pQI9X6UBPf5s7zzqt+Y84YfRPKN/3DxYfOE89NzZPBsg2TwU7eM8P7vuPG5w9DzVK+s8ozjhPDdd4jyW+vI8U8DyPAab+DzoWwA95CQHPR6/CT2FxAE9Mxr3PJBHED0mVhU94gwVPSS3FT1vghU9bmINPQD9Az2Ezfo8EXYBPZmIAz1wEBI98y0SPVczCz2Fyw49iDALPZOiCT2KUQw92ZUFPS6lAz1HBgo91b8HPaYVBz1axQk9KGUNPccPDz34aAk91jkFPaw8CD3Yawo9R8sPPVQkGD3VkhU9vtwQPXQIBT1WQAY95vACPYtrAz2TC/Q8hQLpPAD73Txm9uA8usPuPORg8TyMa9o8yQ7TPFl0uTzW/LE8ECvAPLlYyTzRbcI85A3APJa0tzzGtL08MD3IPN9k2Dxope08CavyPDaY8Ty54dI8ZXfIPKCLtzyYLb083NS/PKumvjylXqo8MN6BPFHzWzyMOk48nZtOPAKNazyOb4g8e7+DPIZQZzyM3lo8k49JPE4yTjywWk083PA/PO0LSzyWoE88C1FJPGJ5UDzUnXo8wo2APJPfjTyAopc8LBT2PBXdET3H4SE9zCFFPU4Ejz1UW6A98zwCPhPMIj5BqC4+F9NSPoSJSD6d/kA+qCI/PkCnMj5ujz0+1JpOPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzhoTT1Lz0Y9ud02PezeVz0Qams9i+RePf2EYD1DP1s9cDM1Pbv9dj04Soc9+H2JPQqChT0NhpM9yB+sPYjtlT0n/1U99bVRPa+daj1p33k97mlsPYixej2jZ4k9R9CFPZDCkT1lMJU9Yi+NPQxMeT1M+049B4U0PQ2PRD3XG149WcBgPTZBZj3xW2M9SOd9Pd2kfj3ycXE9AKRqPQuvVj1s2Ek9satHPRpeST3MAEE928ZGPZaeSj3bD0g9WCFAPV3mSD2ZG0o965tKPXhoRj2nzDk9TsQ6Pb/OQz2rPlY9maVWPTF1WD0EFls94nE/PbhCLT06ZjA9Z6EnPWoaJT0iGzQ9O/hFPQcvNT3dGCo9PTU4PfoGQD2oTzE9aQxBPR0zVj0wJlk9IdJWPcdGQj39dzc9tmdCPbUdWj11Qlo957lRPdxVTj0fh089JfZaPVC/XD35CVY92rpLPeu6Wz3d1Gs9cedmPSfeWz3ieFY9zBtfPVhQZT2ntWE9dKNzPRKggz099Yo9Cv5vPY67aT2jFIE9rXNtPUBzaz0vEmg9/7loPUsRVT3YsV49GyV3PWNOgj25jmo9ae5UPSimdz2O53o9bUl2PTQ/dD2ljH89Xmx7PQcIZj2rtXE9VoCBPfZchj0na5E9I/qHPSA0gD0JFns9ryR4PdMrfD09cGs9diZWPalPWD1Hlk096Z9EPQDHPD0YokY9anNbPbUgcz0D4GY9JahSPRQcPj0JbSo9Slk0PdImJj2E5B09b/MgPZTxGT1KMxc99N4OPS4JGz1h9ho98sQRPXlGCz1T8gI9GdHuPCeL2zzMsts8HNLePFDW3Dxw4MI8au2/PEFtvzz0ss08lJXZPO0E2DzW19A8THDNPKWN2zyVrNM8bWvNPA1sxTz8dt88NmroPHKozTwqrL08Uuy6PAItuTx+aMI8XvW0PCa0vDwlcc08yYTEPMDwtDzcU7g8WZ2+POBQ1TydZ+A8TlHgPAmd3jw9WtY8DunGPDfmzDzRNsk8kHLEPE1GszyOYq48NEixPAnHszxu1LM8o/qpPDFTqzwZ/LI8Yoe2PBbQvDyPqrw8dpzLPAZ+0DzsSd08ELjhPGm+7TyzCuM8ganHPCcpxjxnvsk8OLvDPPIHyzyv6tE8YzXoPHLo1DwIlsM8cqnNPCAjyDyOULw8KafQPLVr4DxalOc8uzjwPNzF7zxPh+Y8TrHhPHf0xzxKu7c8jiy4PNrAujyBcr48KKrIPOX1yzyihtE86ePePKUl5DwIHOs8kDrmPGmQ3TyCONk8EYfrPFKC9Tyv0P08QZT6PM/CCD3+mw49N6gHPVwtBT2vsvU86OTrPNL5/TzsEfs8Eq/jPCYd2zxB8dM8eB3PPIxH3jxrb9s8SWrgPHbD5Dy9XOk8L6zkPLET5jyjJNw83NLVPLgk2zz6b+48ea3ZPGf8vzzid7s8MWm5PNXtvDx0j7U8oafIPGlT5Dz9ZeQ8GiHcPFCV2zxilN08NefTPFz74jxBk+U8193nPF167jzTWsw8ofKxPIqYoTyYUpw8S3+ePNykozxCb648uIq2PAOfxjyWbbI8jjuqPDIKnzwGAaY8YMaqPA8FpTxf+qc85zWrPPFMsjwykK48U+S7PBvUsDyV4ak8LpqgPCdMoTxFiKY8Ht2gPK3opTyacas8el/LPO4/wjzoD7Q8VuWoPHo4pjxvaag8JX6xPD8duDxM+b48h1mzPLMvsjyZOLc8e1OxPLdNuTyL+bU88/OtPNajsTxx0rI8HdK3POxTxzyUEsM8+UKuPIlWqTydvKQ85JeePJ5smDysf6E89fCnPJoWmDx7sJI8XD+ZPJ+xqjyGeLA8X2KyPPc+szyvorA8gkK1PI5/tjxqQrQ8g9+3PF7WvjxoGsU8xte2PM3TqDxgALM8SSq7PAuBuDxAkrY8EGC2PLK+tDzaIbU8UFfFPILcyjwca+E8NhPoPLdd2zwnE9U8mz/CPEf4uTx6nbY8Ws3SPImc2zzuYt08MHfsPCYp7zzgZ848/T7DPE8wvTyu97c80nHEPP6oyDzITcc8HELIPEEN1TzSCts8AX/qPMc47zwoWfs8nwICPduOAz2NywU9Rw8JPZ8zCz0MgBo9tbYfPed6Cz3Yk+48CgbmPC9c9zxJSQI9YicBPRQg+Dzab/o8kMz+PJYg+DyQj/k8FkcDPdtGBz24xgY9OhMHPdDmDT0DUhU9ZIYLPQ8p8zw+7fc8y/f7PGruCD3PZA89gKgAPY//5jwRmOo8aeHvPAdtAD3/Bus81gHmPCUm6zxOa9o85pnUPKnr0DxyTM48garXPFvp4DzVJ+Y8m+PoPB83+jwXNPk8p034PDI09zxltfc8N0X0PAjQ8zwFTvQ8268DPY9SDj2+hxA9LiMOPR6fEz3+qBw9mSYfPfGTEj3SrQ09pS3/PCnD6TyPQeM8hynrPBDmAT31XQU9K44MPZ7nET0BGBk9pRkMPRokDT2uJhA93gIVPbgyBz3t/AY9jDQJPUMoFD2ONBg9TdMjPdJ9Iz3ODhE9bivpPL1A9TxbsPo8r6r0PI5V8TwgbAE9e10LPbVCCj2fwQg9PSACPX41AD2UKAA9R00CPXR19Twmfvk8qav0PPh32Dy0jsA80n2wPJSQrTyvbaU85IKxPMDkxDxA1dM8kYTEPKAbvjwNaLg8/93CPKnH8jxLpwE9ctXkPH+h3Tzk5d88ygvPPFmivzz477g8nzG3PJrtszwrGZE8ONpoPJ1CUjwMul88+a9mPM5raDzuF3A892tiPI7ySjwXvUA8H3RIPPmBTDyAVmE8F2dcPILmVTzg+V888fVbPPc5Wjzqp2w8du2pPLr2Ej1D3Lo93jgDPqGYJz7y5z0+y4Q3PsaDJD4BhyE+sPcjPqt6Oj7SDkI+oxNBPqzjQD4p1kc+L8pHPhcaQD484To+hlMxPge4Lj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8qZds8I1EvPZx4Oz3r2nQ9NIdsPQD6dT0h8YY9m+BIPbpPaD07Ek89Y5E4PeEOQT0kfj09SMY0PYQURD0qAWU9Tn1vPVxCeT3S+X09YwmGPTs2gj2FU3I9M3tDPcEeRT1ogT098/M9PZ6tSj3nxV09GDhLPcj3OD081iY9xW0nPWJHNT3qrTU9e3Q6PUVdQD0KEDk9JABEPUG4Xj2YAF09fZxhPRdbZD0fKF89Km1XPdSlRD0x/DU97Aw3PZ75NT25rS09dkM1PddmWj2h52M996BVPV0OST0wnzs9HtNWPeExUj0PEVY9DFNYPY+STz17CEY9Hz5QPe1EYz04K2E9OT1hPZ2wXj24NFo9TxFaPRbudT2UbYA9ooR7PUMSeD1HIW49mzttPSr0Wj3wfFM9jppOPThMVD3yJFw9jstyPcKvYz3p/0w9QNpLPVxyUz2M2WY9xnZ4Pe5zcj3igXA91W9yPSuLaT3MKWE99k1vPc6raj3t32E908xePXpIYz1HL089zp9ePV8Jgz2Hy4Q93yiLPUHqhD38XYA9E3eGPRZXgj0FmHs9THByPdU/bz0pUGA93o1dPVHobz35vXI92bVlPWMfSz0fWTM94G03PVT7Mj3njzE9vuNPPZvccz1IrnU93y5cPWoXOj1PlCs9LNIkPa8KHz32rig9jVcjPQRCHz2LPxU9Nqj6PJIUxDzR2d88YSQGPZ8JBz1vk+A8sJndPOqiAD03YO88W1jvPI5t6zyh0+w8z3zxPHVA3TxvH+Q8/ZDiPIzq5jxfkwA96B/kPMf23TyOv+I8xAnDPNvewTwjBsA81hjPPJFazzztf8o8XPPVPAQ/2Tz5x848yVzHPCSqwjxYObs8l8K9PAGdwjzh+6c89F6rPKvrujxfKsg8g47GPHsLyDw+A8k8JFPIPDrw4jzJr+08gzrfPC4E2Twyssg8ZRWyPARRtTywv6o87tuePN5hpTxsIKw8sM64POkSxjxylcg8NrnJPNmx1jwD0M88bn7CPPqZ1Dzsysk8QYfEPG0+yTxb+c88vo69PNUCyzyyD+U8PNvpPJJa6Tyd0cY8sQLOPH2V5Tz1p9g81qzVPLaB3zy+nPc8IuT3PCJ98jzdD9E8ebG7PByksDzWqbE8/gvQPBKi0zyBGc48+OLGPI1ezjzM9sk8aWvWPF9O4jwrZug8gePsPFj22zzFg+Y8NWbzPO+66jykIuQ8rFbtPIod4zzjJ/c8G731PHSy6zyPGO08mx7uPO0k7zx16dc8l9TPPGQN0Tyk+9A8mNC/PIcvyTwHfN48wpjvPKqZDD0QOhI9sh8APcGM6DzP/uA8SAnkPKQ28zyb3/Q8FkTvPFME9zz8NdU8NKzGPO8bxzwrJcg8uR/fPN7V6jyjXeU8IpTfPKp+3zx+2Ok8tO71PJk67Twb7+k8ZV7lPEp54DwmM9A8sI/CPBuZtDwKHJo8ZOadPFyypjyJj7A8F3ezPDTFrTyLHqM8dk6pPAsmrjyFtaY8tkKfPJJCljzr7po8PsunPM9dqTzcZbU8elPQPF9n0Tw468w8+VPLPDyvyjw+Zrk89FGuPNButDy8urw8RhrHPGQYyTz/lsg8OPSsPM52sjzsILo8PvrEPE8U0zxKptk8YijhPHQSzjxYpbk8wVS5PKFJwzzeRrU8hDi0PBq4rTwW56M8HUykPNDLrDyIY688Iwa1PNxlrzwD16o8YGWsPO2QqDy8KZY8ytOVPOrnoTzjmJ48OeuZPMfwmzwkhZ48hYygPJFxrTywUb485U3CPCBawDzSucY8t8fSPOKG2jyBhro83PCvPDASrTwB4Lk8vKC8PFGHvDyGtLA8P6SvPDAguTy448Q8o8bCPBLRyzzmN8g843LfPNbG2TzGT8Q8G2e+PGh4vTyQqbk8zL+3PC/JxzyHJeM8XSbvPFOA5zxRF+I8OvbRPCIs1jzdMuM8hdPUPNckzDzIR8w8Ir/bPCRr1zy2k+M8whrsPM0u7jz5ce48w/bePK3z7jxaCvo8YiEBPQBEAj2eeAI9JVcIPf1wDz0p/AA9bon8PHfbBz0JFgk9dfkFPXZ0ED1l/QQ93DHxPHvv8jzBN/U84I3+PHmqBj1qhQs9Nm4PPexpBz1IkQw9giALPWyJAz185/08q7gEPU10Bz3uUgs9R2f+PLFN6Dxa2No8jtXcPP/P3jwedeE8JTPnPCfy9Tz5Eek8a/3bPO+X2zyz7N88MRfgPOSD4TyC1+M8sy/zPFko9jys0uo8uaLpPMd/8zzMRwQ9nd78PDxn+Dyol/M8PMT1PJt/Bj3Tjgk9hBEePeLxHz3VHQ09sfcJPZQfAj1hp/M87WHxPE+N7jx+Ld08v7zgPIsiBT0pcxE92YsQPWSKET0feB09R2AUPZUZBD3dvAY9WecHPf/wBT0gpwU971YEPbFiAD3hEhA9g1wVPZYFHz20aRY9N5YFPTqP6zxVz+o8o2LrPA4v5jyCsuw8VD/fPAJo5TxOVgQ9MMoGPS1+BD0/OAE9gA0EPUeFAz2dKA099QkMPcz66TwmYsI8wgyqPLK/pzxTh7M8qP62PA2UwzzBes48bZLcPHMu1jw8Z7g8U6m2PJ2lxjyRnO08L8f5PHti6zxy49A8696yPPyQpzy3LLA8taidPFeulDwoo5E8QkJ0PFCydzyJfG48rSNjPIkQcDyNVXM8K2pvPGNLUTzE0z08jORGPJVkUDwvE1Q8cMFmPJzDZDzsuYQ8rIvdPC1Cdz1cAI49ig7FPcl28D0Qdxk+X51GPmjMMT77ODA+lB1BPvUGQj6KzDA+Wq84PmJTLT7iQCo+24wnPm92ND5+zjY+ERU0Plh6Rz56Uls+qvZqPn5YUT54bEY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3rOuTwD+TY9r7wWPZHJ+jzUmgs9Hw4rPQfkfDzdcPY85pMVPfcmHj02SSs9F7grPauFNj0wXO08K3sbPemZLT0/vjA9I+EvPWYyOz17lT4959s2PfpoKD3hNiI9JpMmPVHoGD2EHyw9WnhMPfPaVj0itlI982RfPcs6YD25dGg9rXxyPYV9bD3FO2o9dcdNPb3uaD2Wb1c9Tb9TPbSXXz3B51k9NmJgPb+RVD1JjVI9l1FFPb2ZPz0CFUg9krxLPWsbST32l1I9MK9hPVTOWD2sh1Y91k5hPdC7cT29w3s9T6d+Pe2SbT3kW3A9G75tPXRnXj1k0ng9ZnyEPfejhT2LPoE9NWxxPWnkXz0IdEk9gelMPVqWTj2dclU95NxjPbQCeD3+HHA9Td5aPe2YVz1e8V09U8xlPet8ij13/Y09Ua+BPY4gez2MhHc9j16BPZ7dgz33yXg9c+ZpPf3eZz1nXFY9zAxjPfoKXj3QUmI9+vllPYadYT22PnM9e/hyPUgjhT3ZlXU9/PRrPeLeYz0/xl09EmdnPcTeYz2FRGE9KT9ZPeLpRT09ljU9AIE3PfmtLj2xMyw9mT4wPdfOOT2lbD89XIk8PVu1MD24AzI9mHAxPdhrST1s+kk9OSo7PcdSMT3RiiE9PzscPaJQ/jxFKdE8E8HfPNpy5jwJ3sg8qJi9PPhjvDxd8b08Ewe+PDOtxjyWL9I8AWbUPPT51TyQnNg8qePdPHuc2DywzNg8djjcPIDdyTwqFMw8huLFPM67sTxiXbE86g27PPu2tzzj5dU8BPbXPO/HyzxuusM8UkW2PI5OwDzP2Oc8g2DRPNzpvzwlybw8JbS1PFzxyTzw3sI8v2HDPGZeyzxAJc88wZTaPL/A3DzikPg8q7HxPEfDxjw00MA88r/BPJkVvjxxRrs8mbW6PON2tDw/xLE8EEurPGO4xjw8PtI8VUG/PDl/tjz76rM8UZ+9PIl24jzH89A8poO/PIlHwTxjLMU8j2vUPIGL7Dzi5OU8aa/ZPIPt4jwi3+Y8K6z4PFQj9zxHuOk8UbLpPPGu7TyKD988rdjUPOmayjwcpMg8ifHEPN9Uvjxp6a885Za5PNEHzjyfisw8z9TFPMkvwzyDWMs8XSPdPA++2jytwdU8WO/PPDN+0DzdYu08Dfv8PJq0BT1e+wY94N8GPbeYBj07hAM9+fn2PNwu7Dxiifg8AKntPKXh5TzA7co8eTbUPJpN1zy3rdo8h8bbPJp/0zzSqtY8ucrvPMqfAD1Xfws9vpgOPRi0Dz1MjAM9YCH4PBW7zTwQMLw83Ti3PDtYxTxtqMU8NqO9POHGyTyAMs48BnnOPADX5jznv/o8pHLxPJeZ+zwTZQQ9k6oFPZ1sCD3ZBgQ9EfoCPd+77Dyuycc8ZNa8PMYjoTySQLQ8owGzPDzWqDxG06w8zG2tPINooDy1Q5Y8OSqhPG8RuDx5z7s8U7uzPBe0qTzxgKo8R8CvPFjLtjyk3Lg8O77LPB1kzzy3j708F7qtPCC8qTyOBKw8uz2nPHYRsDyEDrE8bo6rPLS+qTzEGqc8QPahPFcYrTyAT8Q84q7YPIV36DyNX+o8sHXIPD1Y4TwsGdo8TcLBPEpvwjzt98I8V/OzPLzFqTxI0q081e+uPC53qTwHPKg8obymPPheqjz166U8uMOkPEetpzyQE6U8FG2cPIutmzwQ9KM8kvavPE8nmjyiXJg8JeybPBO/nTwkSJw813arPDBCsTzGFMA8kLjMPGrx0jxYeNE8cty6PLCdtTwkwr48dKaxPB8WsDxTAKw8pvGoPKkQqzxIHcE8+PHRPBPD1jwwTM88rFWxPCryqTzmWqc8LmusPBR9tzwO2rg81NC/PDP5wzyAntU8LMzcPGzi6TwDFO88eKDZPMAO1jx8seE876LgPI0g0Dyuucc8mCzKPI0cyjyladw8O732PC05Cz0A4go9wosIPX9++DzmffM8vYsBPccIBz2NfgY9K+kFPb65AD2A9vI8F0DxPIez9zyKJvo8Ezj8PKQfET3UJxM9CGUEPfG1/jyvDPQ8aJbxPI397TyJnfU8TkgEPTT5Dz1StwM9TXYAPVpG/Dyo4Pc8eXP5PLM37zwjQ+Q8U63hPAge4TwtMOM8VxnbPF493TxsiOI8Vg/oPPESAj2NmPg8XLHhPIKI5jyUBO88ToPyPFcV8TyU6Ow8cinlPJQayTy2P8I8itrBPNmIzzy+yd08upb3PGYs9TzIYvI81pXvPJ9P+zwmmAE902sIPY5cFT1MNxc99TgOPV0W8jz+d+U8ZwP6PJlFCD2KVwg9/KH3PJx/6DymaAA99xgIPcYRCT1iTgs9trAWPaB9ET18Hwc9a9UCPV7UBj1OUwY9huD+PAEa7DyggfM8OVoHPYX0CT1OzxE9TCsOPTnRAT3PIOw8QE/qPOKu6jyvu+U8dOT5PHEy9Ty2aeU81jD8PHLRAD3f3gE9cH3yPJgS3zw4Cr88P6O+PIBBwTxQLso80CvJPITxwjwnyLo8C8S7PCR3vjyZqs48ZNPbPPXW4DwiN9Q87y29PMUjvDx22Mc8zNffPPgT6jyuk988GOHGPF1GwjwPIbM8ZxemPAJqmDy7bIs8Ued7PIxedzyrDXs869aBPL1qeTzH2nE8Q8duPLVaZTzjUms8vWpqPI/PbzwXgkQ8tkhIPPwVrjztZ0k97ojVPUEYJD7GNj0+1Bo9Ph1tOj605Dw+ueo5Pm0HND4qK0Q+ExtDPlQQMT6rwyY+LGknPtPUKz7HvDE+U2szPvBqNj5PATU+k5MzPotNLT4eyDg+PAI7PjbGPz6faz8+n0g/PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/JAsWPKkIrTxAzNM8NHXBPDGE2Dz6gwU9rxL1PBjfszz93QI9vOvkPMk7zTxdr/c8K90lPWxTJj3W3CY9abIoPW+CNz0+1kw9LydUPTW1bD0JgGo90+xyPfTAWT2WkFs9IIZrPVKAZj1wsWI9n/FXPbG2Xj2DSFM9tSFKPdyaVj3RC1A9YXxDPVaMQz2An0g9HaBZPahfeD2kknc9OIdvPb2KZT0gvXg9BeOGPeFAjD3cj3s9PMNpPeV3Wz0s/kg9WFZFPb/wTj1eTU89FwBMPVhITD0gEVA9BGFFPUm6TD2j22E9Uo1pPaZweD3CLmI98YBdPe5FfD3Yv4Q9MduCPRk1cz38Z349+9aBPTfTgj2Mi4c9r6GCPfF8fj0ynGo9cF1iPYZFXj2P11Q9SNk7PZgiOj3emkg9WKxHPbwBVj1Q52I9LzJxPTd9eD3d71Q9Oo89PWSXWT3rPWY9R1dnPUJ6VD0yo2I9d79pParUVj3B0UU9sLsxPYmVND3eCCg92b8rPQB5Nj0y0Do95aBEPazUVz0K11M9zGZWPehmWT0H2Fs9XORIPYXQOD0e7zI9yDYuPTfVID2tZwk9XiK/PN5gwTysack8uG/BPFiiwjwCpr888uvFPLfHtjx9a7M8luq/PGtZwzzjH8s8k+W5PBpIvzw2v7Q81KrBPG7zyjzT1tI8YgbPPGWwxTx/asU8XNDRPGFN1zwnbso8jEPUPHY01zzzfsQ8YayxPL7BqDxDHsg8QiXsPENP3zxUncY8f7K7PBHkujxHvNo874naPB3fyjwJk9E8aaDVPFzF4jxz9Ns8v3LhPKd80jxi6MA8/pK9PPw8wDwD9cU89ty5PInWrjxuZ6o8u72qPNOLuDzj/sU8mpDIPN/Fxjx7w888v1rTPJcAzjwEi8s8j8W/PHMWszz8prU87W25PIJl1jzUD+g8HGvbPFX01Dxa2+M8robnPB1o4jyipeE8qyvePGX25TwOwe48j9/lPItz0TydVb48BlLBPAcNzzwUYtE84MfPPJJk1TyqHNk87U/KPMWv0jwLGN08MtnlPM726jxshNo8F8jcPJyY6zyQcvE85aL6PAfNDj1JMA49dwUFPQAPBj0thwc9pTgHPaAIBD2g4fQ8ThzjPN7h3jweEt08aSfJPAU/0jzVGOM8LYL6PFNl/jxHLv48C1MLPVKUCj30eQM9NEP8PF1y/TxFP/w83Ib1PKAG2TwVDrc8lQ2iPG5lnzyDJKw8ZLS8PNAyxDyQNMk8te/RPNvs3TwWgQM9ZuAPPV6xGD3ELB49dDgWPeW7Ez0OMg49NRACPcnf5jzgKtc86mm5PLnurjzS2aY8l1mqPBSurTybPqg8dfSfPK2ynjzlZas8e+KnPOqpoDzVxKk89Oq7PI1uvzxVKLw8SfKxPB8TujxWcc08/x/VPFWB0TyWk648rl2cPD1kljxa/ZA8QOGcPLojoDxf+Zw8VpmRPGV/kDxtTJw8EFqjPMyMtTzdR8E8tNLBPFXHtzwZObA8hdqtPEdvqDzfvbM8BeC4PEekuzxNk7s8gnK6PMqxujw7L7w8gaWxPBG0pjzKvqM8cQ2jPKEjnzzhMZg8wPSePJOusTyUMLA8GbitPONRoTyK6Zg8RDaZPDcxlzzRDJo8n5GaPHbClTz7WY48kNeXPAdzrjw5h788hSvGPBXf0Dxot8Q8/EK/PFMixDxFh8E8kaGyPDvcqzxvqak8+DOYPNOYnDzpW588xRygPJAKpDw37bI8TzW8PO9/uzzXP7o8FDe4PBZowDwACcI8IkLKPGiH6DyNp+08joXiPHir2Tz2HOM8dBjvPLf17jz9EO48mQbkPClhyzw+ur48UdTLPNPs0zwSCNU83+3iPLpwBD0CjRE9mskPPQaRCD3EFQU97wH6PLQi7zw6Evg8uij1PJYa6TxylOM8gKTlPGev5Dyoj9k8NRPVPJK/3Dz1Pf88vPUMPQSrDD0MvAc9aDQAPV6c/DwXkPM8ZSUAPUYc/zyrdPc85AP+PNocAD2vjAI9FP78PBtN8zz6Y+48I7rbPI331zzMFtc8l/jiPN4n5Txor9s8gtDMPOFvzTzA5tk8PR/ZPG222Twq4Os8wPUAPW6S/zwAbus8yTDrPK9G+jyM/uk8cG7WPG3/2DxvTuI8LdrwPKh0+TxZgfw8SdgAPXyg/Txm/wQ9f6v+PM6s8TxLbP883fMBPVCQAj1QPPQ8WpHpPM6e5DxyWds8sBvbPJFi3jyagtU8z4bvPKOY/zwi5Q09fAkQPTMyED2oPwo9ajUHPUa9BT3V3gM9XHcBPQiJ6jxc8us8U5sFPTV4Dz1J0gk9Ts8EPUacAj2flfs8myP9PMAw7zynUek8GHzwPLNMBD1yP+k8WMHfPGxZ6zy7c+k8ggbrPCHJ4jw+hrw8RmGoPCy8vDxaYrw8x9i3PCHwsTw3H6w8DBSyPIqpsjzaYLQ8cUrDPHJi0jxFYtY8ekHKPC6jwzxGYcM8jHnFPPYPyzyDac085VvKPLgl0jx9Kc08nWyrPJomjzyT74M8jbt7PEIPhDyJXIU8NMKCPAYSeTxgpYI8r3uTPFu4yDzRHOM85hA4PXEAsD3Rkfo94FAQPua5ND6k1TA+zWMnPntSPj68zzc+RChHPjWnRz7laC4+EgY5PtgvLD7IFCo+4zs7PpgpOT5VAig+b3QkPhP6Ij4L6Cw+jL44Pg3cNz7qDzA+S84yPjQvPT7okT8+/o80PuYvNz4j4j8+EJJGPv31TT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4L+hzz3vKI81yLWPMCVAz2kyBE9ad4BPc56Bz1ISeU8IQ/GPKOJHD2rSS491cg9PcXCND3isSg9DugrPRpPIz2QTB491G5EPYAYSD3HSUg9A/FIPVGLST2HKks9aQdXPVCKXz1mMH89qE14PeP0bT28/Wk9K9dmPbjYZD3pK1k92q1GPWu1Pj3LUTY9nJBEPQ0SUz32/089tTdBPT/oNj0vyUY95PRXPUq7Vj1xaWQ9Q/9yPXL9dj3phoc91cx5PT33Zj1weHQ9bNJ8PXhlej3U2Ws9wB9xPSAEcj1/nGw9BGJnPSK9Yz3px2A9u71WPSKqUz2Tn1M9tYZRPayOTT2DKVY9GoNQPbfmVD3V7Vo9pyxgPTp1aT3E+VY9AGlFPR9JQj3Lh0o9YYlRPSoxQD2jJTo9TlBmPV+XdD12XUs9wWY9PdFkMD0w5Tk9d7MtPaOtJj3UDDk98wVBPfHXPD3nZEw9jgBQPWfaWz0ldVk9wKZTPQcdNz2U5iQ92VIZPV8jDD2/j9w8MjfNPDiMpjxCEq88sx+0PPiXyjyOltA8funFPJeP0Twif8c8cvi6PJdSwDx4Ddk8hDDrPHeH0TydZ7E8uS29PB4izzwRNNI8ZMTAPFx2uzwJYcs8lQzVPCTj3zyAP+M8on3PPPIv2TxaH9w8uD3VPDzXxDzMfr48utTJPOv15Dx94Og8dJbaPMS0zTxFYc08lm3VPNxX4jzePM08xvPLPNr20zxUntM8ioXQPEkg1zxytsU88kHDPF5Nuzy0+7U89t29PBoLtjxJQLY8tX+6PKKrtzzPR7w8eILOPPDp0jyd9t08a3z0PMZG+DzOndw8V57EPA7ivTyhBa48F2ewPDIPtzzizrg8Iu7JPGGZyDwT1r48SB7BPE/XwjwKp8s8zOXWPJYDxDz2h7w8UIyzPHzTrzwdX7c8RUXBPAIl1DzCh/E8nzLhPH2Z2jykLNQ8cXvZPAuN0jwItcs8SyDEPPu/xDxYRt08r4P6PF+MAD1CC+887DPzPAMN9jxpcwY9bRMKPUfhCT1SJwI9VOz5PDWC3TxOFNg8u7nUPEVhzDz2Lc886erRPEFx2zz7V+o87XbrPPvKBj1eWww96vcKPfXTAT1FpPo88y8EPZnG/Dw0ZO48ZqzsPB6D6jzCZ8o8aeXEPG0LxzzmdsI8dAPCPBwOxzzcxb48r3HEPKIt1TxSHQA9kMIGPVlkHD19fyE9XbkfPQAbFT0whfs8/snmPM7xyjyqxsw85r3UPJpayDxgH788Q83GPNyYqDxG4Jw8XaSUPO0SjzzSgZE8Fd+ePLo5qDyl46w8SFXBPPR/zDzptsw8keLGPN1KtjzpArI8jVu5PKovvzzfhL88RTu5POuZrTyA16I8Il2QPGbckTxPQZM80siQPBfYjTwJaJI8iSSiPAqJszy/GrQ8ki2tPNbssTyXWrE8C7GnPFdEqDwnWqs8PzywPOS6tzxxNb48c4a+PDiCszwVXrM8irylPHlOnzx/bqU8fr+qPHoXqzx4V5c8+zCUPKJMmzyqJ6U8DwWkPLiaoTwQgZI8oWySPDW+njxza6c8Wc6iPFCJoTyRjKI8IXykPB5SpTy/6rE85rnEPNWFyDyPXck8P9u3PCousjxiX608KSCsPDutqjwUV6E8UUigPHAdpTye8qM80kSfPC5XnzwqZ5o8snOvPGs8tzzvjLo8AzzKPFGH0DybM9I885bUPFm/5jyppuM8Ms/ePGY92zw9nNY8+/rfPP6I6zyyYvM8FeHyPGK63DxJCcQ8lJLKPKxVzjywHds8J5DdPJMD5jwWjv88M9IDPQGCAD3Avv08l9j9PImgAD1ncwc9Nn0IPeVN+jx9k/A83HXxPAWB8zzZ6+U8gOXhPD4T2zy82948qDPkPI83+zyqyQQ9IrcCPWty7jwquOg8m6TjPGGt4Twh2+c8uxDvPEM+AT0oZAE9F2D6PH4s9zyubfo8ibLyPOPg3Tw28Ng8oszUPPs82jwQv9Y8T7/QPK5wzjyPaM483UHQPKzgzzy9edY8ql7pPOyE8TxbR/Q8reX9PLhA9Dz8WOo8CyboPA0B2TwJhNY8ovTSPESC2jzpS+U8gCT7PB8ICT1zNQc9FBkEPc1CCz0hNgU9qZb/PGd+4zwj/eQ8FOTuPJt09jw0LfE8ASX4PNXO+DwZjv488cMAPVjLAD05sP08YKcGPUpYCT1nIQY95osEPQtoBD02nwY9OZ8BPWbm+zygj+A8IQrmPE7q/TxPav48Nh7uPC/v7zyPlwE9IckIPSbIAj0PbfI8MzvpPFe86DyQUOA8A33KPO7qxjwAGcM85t/HPHlAyjxhgsc8/8KqPCQSnjzbS7I8nbrAPPfmvzz7XrU8+6qjPIvhozz5P6Y8fla3PMqBwzyn0so8ahrHPMgkyTzAhsY8Y0vIPKIpxzxSPsw8j0PKPK/nzjyZwtI8aVHLPLE7oDxSbXs8iOVwPCT8hjy5q4I84pWCPEcAhTyAp5E8/SAtPZVu1D0svAw+XgIQPvjsKD7nu0I+2549PmN8Mj5Vyk4+oIRJPszxQz6JLUk+Y5ItPjWKFT6mJCo+lZQpPn2uIz4YGxc+ho0xPpKMSz4rbTQ+Xo0jPk4KID6yRjo+0W81Pi+LQz7/KEk+dCFCPm9bOz6WUDk+bj5GPlyWSD53ekw+dTRQPuCaMT6ypiI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf57TbDzXAq48CNPHPBYULz2+CiY9U5sgPR4BMD2CoRc96TcSPdmmNj3aRjg97tw1PX83Oj0WOU89AV1TPYSTMj0PEDc90xEfPTVrHT29aTM9A9w6PZDaYz3DrG49JahfPepbWj0HyF89vUZtPfXQgT3s6YA9BRCAPZWihz2dC4Q9POWBPV3fdT1Z8mA9h4haPZDdWD3Tl1s9GjV4PSKmgj16u3493cdkPb4DUj28GE89TCtXPaV0Xj0gYWE99/pePaBobD2X+3A9dZBwPYDvZT1HEm89kRRzPUzhaD2cgmU98pxbPXZ2SD2wpjc9Cr4qPUOeND1R1TU96ZA8PZmATT1m8jk9NWMbPbkMFT3OsRA9B4kZPXm/Ez2DXRU9s8EOPd12Dj37LBE99mkYPSvbFz32diQ9/dQePRD4GD1f2AE929jyPHxX5DyIy9k8QT6/PFR0tDxF66c86HC8PK3atzzAjac8dH6yPIuqtjwn56889VmnPLgtsDwEU7M8m1KrPI1KuDx+3a08BsOtPMOfvzw0/8Q8Y4izPCi9sDyP9Lw8cKPMPAUhyTxxo/A8LDfyPIIi4jzFS9I8nhvPPD1LzTwg38k8dozJPLRexjzk9NE8lfnYPOMbxjy/ZcM82q3HPET71jyJ39M8iezlPCtW2zxQ6uw8oUDxPM0n3Dz3Nc08tePhPOP53TyufM487V3MPOlMxzyDh8c8HvfWPOAk1Tz6acI85UPCPNAC2zzoVtY8xZHsPHof+zxUkus8bUrpPGjr6TyfHNo8eijWPNiFxjy1ac08s6vRPF6T2zzCBcs8WvW1PK0mszzhqbI8vP+3PACzxDy2mbI8eF6xPEKovjxdK8M8GprLPE5F1jz1lOY8tuoCPaZD8TxwN+k8t7TiPE5H0TxmU8g812vOPCTZ2Tz09tw8utjpPJj68zy8tvI8VFrxPH4NAj2SMAU9Z8kIPQip6DwEYOY85MjuPIXo0TxnY8888FXhPDqh4jwRRtg84+HWPPDa4zy4A+c8mfvtPFja9DwrawQ9FegFPWUZDD1WFA49D+oXPbbaBT17xAM9L0YDPebwAz1nZgQ9I98BPeYx+Dxw9uA8us/ZPB5K1zw1kdo8o1HJPJYmvzxoT988y20MPYNbET3naRY9wRgUPUmODD3Y9vo8wQvEPPptuzwE9bk8nDHMPGIMxzz9NrY8hACqPMkkpzxgpZ48BJSePM6MmDyOdZs8c3GpPLHMqTylvqY8Ph6rPETxrTyD7J08q4qbPOqGnDyv/Zk82nShPPTxpzwvKLw8twfAPHe/ujznbZk8YQeePMI1ojximK08lyesPCzWnTwIIpY8+n2bPLJNqDwuva8812WwPOfosTxzVK88viykPKr4ojwu/K4825CwPHHitTwuZr88kaO6PNFxqzwKt588QF2gPCEWpjxgSqc85BKlPHB1mzzGGZw8ltGcPNPMmzxzl5k8AP6ePPSNmjzZ8Zc8V9GRPKOlmDzNRqE86vmbPKecoDxeb7E84oyvPKb2njy0OqY8Bo7DPOwgwjz6/bs8AiatPCdoqDyWP6w80tSpPL2XqTy9Wqk8qsGlPEW5pDwq66g8Zy6mPJtbmTzA55488I+kPGdurDw8O688n2+3PNuAwjwO3MQ8/4/NPAEe1Tzpc948vL7ZPIlB2DzRacs8VYnAPBlAzzx6yNs8VJ3ZPEow2jybvNY8fGLLPMGJzDxbxdw8+tXmPFL+5zxBaew81xD3PO6v9zwi0PM8z2zpPHtp6DyR3PE8S+UAPQwHBT0gAQU9av4CPRYiAT2TKu08qkPqPCOG7zxUquY889rfPC5A4DyxQ+c8VI7wPKAW6jy/ct08F07nPBcS6jwSnfE8nm/8PEs7BD1sXAE9ckP3PIXY8jyFu+Q8I1/jPBHU6Tx+tes8ZTjcPKzu1zy7T8g8gzXDPHEAzDyUq8s8AdzAPH5YxjyAzss8QbHePGd68jxQyfs8UyH8PCTT9Ty3OOQ88XLQPFdU3Dzz7dg8RYTVPJUAzTy56c4872rdPOq7BD3BcQ496MALPdp8BD0eiwM9eMX4PINR9zwd6ew8YLntPCxJ7zzJUe88X/34PN4g+zxUWv88o/cAPabu/jzvUOg8VN7cPA0y9Dy0ZQ49hOAIPY9V+DyjMP48u+MKPYN4AT247v48CQf7POp87DxWFuU8kL7nPAHe8Txpl/M8U0z5PASt+TzyNP087Qv/PBon9jy8hvM8MrzZPOEVszyJV7U8Lau/PA6iyTzcn8g8fUO/PI6PsTxuoaI8IoCjPPkAqzxGdqY8FkKbPNCJlzxf8pY8dH+kPEHJtjyuibg800rEPDhE0DyG6NA8dCPKPNWOzjzgm8489r3PPA+Fzzxj7tE8l+GePKjRjDxaO3s89k1uPEU4kjw6sZw8uPaJPDAbhjzWSoE8uimaPIjB6T2MokI+3dREPnOUQz7OwEA+W689PibHND7Ebiw+EhkwPidrMj73Vjc+5dI6PiZCNT6WUSk+oNUpPoWFKz5ETSg+m2glPrWpQj4HLzE+TL08Ph/kNz4cfCw+bcY6PunmQz7rIjc+CQFPPno4UT6HTkA+CY8fPgwEPT4Tx0o+JwZLPrEjQD6FIRY+nbUEPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8aPqTxh2rk8I68KPWOyCj2K+A099dJGPVd1Sz33hfs8IgkiPV+OGT2YTxw9w307PRZCRT2iXmg9lf5+PfLzgz045YQ9u0RpPdseXj1CokA9X71TPS7vej03GIE91OaKPfXviT2/R2Y95v5jPfYRZz1vIls9a0tSPUCwUD1D0lE9mJ1iPVjlcz3S+oU9krqDPRIzhD1pgYA9JfyNPS40jj3rZok9nJWHPeS0Zz0sEkc9S78xPeS4LT0KDyk9qTAmPeJ2Gz2Nfww9HUYBPdTt+DxyHfY8x9b4PDIwDD0YrQ098iwNPe19FT1R1hI92CsPPb8G/zyDAwE9IRz7PLSp5jzqEvo89H36PADg3Tzah8k863a8PIZzsTzLBaw8y3yqPBacpjw0c6Y8hDqcPBTCoDwEVJg8ZWecPP6goDw5sKM8DWyfPKphqTzTKaw8t9mmPILHmTzdr6M8ZJCwPByrqjyfZqk8TGyxPL1YtTxa1LY89jzHPN0TvjwWEb08wlTLPC5CzjwMpck8tqi3PIHnzjyHGdE8CE/FPLa40DwcVtA8DzLCPMtOyjz1Yc489erVPCkJzjzRwNw891frPPUv5TwebOE8PPnVPGBX1jx3f808PV7UPN6z2TxMJ948Y9HWPGDPvzzR6Lw8CAbYPMzb3TxS0N88y1zlPB9i9DxGHvw8LjTtPGr54zxTkL48mDPTPDPuzzzCZtA8OcHqPEUu6zxfhdQ8pWfPPBdtyDw8eMQ8wDXGPKqkyDzudNE8K2HKPArTzzz7Kt88w9H4PIEj/zyYUgM94vTrPO4V2jyNb+g8rC79PFrn+jwNHvI8vAv9PJi+9DyvtvA8/YHmPA6a4zwfN+w8JtPmPMpb5zzs8OU8oALkPNT+1jxUkNI8O7rqPKyZ2Tz6bss8RiTKPNpmyjzchtk8X/TYPDzk3zwuMe48pvXtPK924zwTJNU8v73dPIu7AD2GVAw9PgURPRo/CT0XUAU92fQBPejSBT0zcRM9x6wOPYZ55jwZEsc8TjvGPMoP1Dx298U8Q8GvPPNpujw8iM48JfLoPEX7/zx8t/08b4YHPXqJDj2BjAA9/NHZPNiMxzzE7MU8Fn7DPDkAujxy0LA8XeCnPEAnmzx2kZs8/EWpPKzoszwp/q08cYW1PBdpzzzA6s88/me+PJFxrjxlcLg8WaOyPDGEtDxAxrM8Wb6qPI/XpzxELaM8utWYPHP6kTzBwpA8IymZPLsaujxAf8A8QW3CPOXGtDwb8648K3qgPLIAmjzdz6c84ICyPOr9tDzHxq48DxGoPOfFmDzvEZQ8jm+WPHpfmjy14as8XwOiPPKumDxxPaI87WyfPB+RnjyAV6I8NAKlPFMapTyjFp88IJqcPBaGnDx86pg8A12WPObUmzz/TJQ8kDOePDKjnzxgB6Q8QCukPAj+mjydIZQ81smhPCGHpTwT9bA8euW7PMWFvzzGNqw8T2igPGxmnzwqVp88ZUSnPCe8pzzYlKY8spyoPHrysTyv+LU8xmStPDw/pzz+05w8Un+fPJkhszzDy7k8yUmuPCwEqzzVOrM8S9a2PJdpyTz/utM8pIrXPEDc1DzkQKw8bkSmPEAFmzzWT5c8PE2WPAoXnTzg0LU8gA22PMaSuTy/W9s8QnAAPQvD7DzbOO88i0vvPAwv8DzQFvM80iT3PFgw9TzWhQA9j8gCPfs2BD2C1QM9SVMEPfunAT3NKf886TLyPOfw8DyYne08RU3vPAtU+zz7fPg8qubsPP6/8jzcEd88De3IPLwe7DyfE/M8JW0FPR3IET2OAQg9SbbyPACM4zzyIts82k3FPArbyTwKHeY8PvX0PFpt9Ty9t+081FTaPPak0jyNc9A8I+bJPDRv3Dz9+do8j7jaPKSu4zwEKug8xe3dPIH/6DyYU+k822ntPHn+7jx+C+g81pThPHv/3zy04Ng8dSbXPJj43zwr7wM9KgsLPdc3Bj1tg+c875LaPDYL3TyvWtM8D2fRPBVu1jw2x90868nWPOQW5DwQFuY85ADYPATO3Dyhb+M8WV3pPOO1+jyS0gg92bQKPbysBz3avgM9qiQHPUkbDz0LLQ89v20JPbWmAz010+g8oLfhPNy12Dxae+Y8ZAnqPLPB9TxcFAs9qpQKPTLyAT1EDuU8VoTYPFQyyTzSps08UrrgPBUF4Tzkutk8cC/SPK9VuDxqKqg8ftOSPMGOeDy+NXY8aCZ9PHMxijzaZJU8QVymPAlWrzyfF7I817W3PKU8zjxEqt080UXcPLGPzjwUqMk8mq7NPJRp0zzU58s8HPa5PNG0fjxOw0M8N9dFPECweDzgaqQ8QVybPFErhjxmen08AHWFPBmMnDyhBlQ9D8kVPmblXD6HC2E+eeZTPg5MOj4jiEI+78k3PoIsLT4nvyw+35MuPm2pLD4q9DM+H/g4PilMOD7SITo+hUEuPlc0Kj4guC8+pWwlPhcbQj5lR0c+sgpTPvN1Qz7K6EA+h80rPoMmGD7GlRs+qbQoPn0TNz4jjzk++p1CPn60Mj58OTE+hUouPmjBLT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/aXlhPZVVHD0Z3Qo9h/cVPeOrUz1FBEg9G2hHPQBniD0h8os9WDhjPdyEQT2NBkU9JWdSPQFPSj1HpEc9wfFAPb93Sz28q2o9IjWLPdFUjj0TB409/oeLPaHGjT2bXIc9RGV/PdGgZD3xXGA9G9NWPU6tTT1t6EQ9V5YgPaS79jwM3fs8xv0OPS0ECz0zigs9VGn5PAdo6zxlLvE8JYb4PBsACD2WbBU93sgXPSJLHj1enBY9JPsJPRHN7Dy9c9o8h57jPK3/4Dy33sQ8kSfAPIplrzyuMas85Xy1PPeetTwYg648lLSlPIxlnjxse6U8iR2rPLIYrDyF26s8+vWrPODotTwZTsI85fWiPGpUoDyVx6M8YDilPGIxmzyqCac8N3rCPHlzwzyrIMg8s77HPEHywTzdHsQ8iBLCPDEQvjxejrc8J663PLE3wDybz9I8xnjTPM3RzDwrIsY8k1DOPN5+2zzoquY8QdHmPGzm4TzUHNo8hjfZPJ/G/jxzvAI9mO3/POoM6TzvUuM8jpzZPKF74DzBCe88deHrPHNm2jz5btI8fdbTPNviyjyEe9Q8r3rZPM354jwJwdk8kzjWPOrD4TzXS908d3rcPKon2zwRBtc80GPXPFnf3DyYP9o8qbTUPJTkyzyTks884kvaPCmT5DwVyOQ848DZPEFT2DxHXPQ8t5MGPRQo9jzEg/M8WcT1PJmj7Tz7a+Q8aqX0PIsSCT0SGgg9xIcAPS8Z8Tz7fes83UIAPZzQ9jwjl/Y8nwD3PG3/8zwe0e887xXgPCOM1DxuLdw8zp31PAQz7jz9d9o83L3YPFey5jyorOs8K6D1PLxG+Tz3n/M8Q8rhPP6I3zz9u9o86j3aPMgZ7DxRWvc8B+PpPLKa7TxoG/o8lHjmPMBvAT2+pww9J3nnPB/Z2Dy+abM8Mzi3PDoywzz66848aifRPPpO0jyz/tg8t/LgPJO19zwfqAQ9OP0TPe4BFD1mwg49r/MDPeJk5Tz+us08wMzDPJnNwjyAFL08afG1PFq1pDzgsZs8LxSmPHwpqTxAsLQ8G+vIPHsj2zxYx+g8SJzdPMOi1DyN0Lw8nMDOPMF30Dx6CL88MDC6PEgUrjznRrs82Aa9PEY4qjw2Dpo8VgiYPObslTzsj508KW6ePKt9mjxcrJQ8YQyWPBLYlTy2GYw8shmTPFfynjwzrq08dmaxPDQUuDzzQ608lIelPJDUnjz2fZg8ryuWPOAPlDxZYaM8Y+yzPAJ0qjyHiZo873KaPLZomTycMaA8wcCgPDB9mjxjZ5Y8XNeWPJ/6ljwZmo081aWJPCt8mjyoiJk8I8aRPKzClzy+XKU8TCyuPIr5yTx6lss8AwHIPDl5uDx2e648gymlPI8RmzyvI5s8TWWZPNfbkDxn56I8fou1PL31rzwzJLE8EDWzPOBlqTzFPZo8dYeWPJp0pjw7aa08npXIPIU5wjzn17c8kRDBPHIXuTxJqck8ecbXPLZv1TwMesU8KhPAPAv5uzwvR7A8eNSjPLqVqDy+2Lg8RfrEPKUJwzx2iNY87TXWPNel5zxJPuQ8qgHDPO3vxDxzRc88MJDoPA0r/zw9Pvs8ygv/PNcVAj1NiQc9ndkEPb0TBT3yEwk9wYUEPSA7BT0AGww9hK8IPUb1AT3eUP88jMLVPOaF1TxPrt08RezhPCO22jzd1OM8PUXiPCmN7jw4z/w8UofzPMYe4jzVgtw8R2vXPGZqzzwMEck8jebIPEA2wzwgPsM8jd/DPBvRwTzj/7o8yr/FPB5JzzzMCtM8EDbWPH4S3zybL+A8Y5XjPO+93TzyS+k88BXtPMDH9Dzawfc8wp7pPKQD3DyGbuk8Ld7lPKqH4Dz07Oo89x0IPSl6Az0/Feo8j63oPFJn3Tw8VM88l+fDPItGtzzi0bk82LrDPLpX0DwyN9s8cFTtPE5DAD3fnwY9UIoGPSEy/zxkzgA91qoAPesjAz0nLQM98esCPWIWCD0CWAw9K4oIPe5l+zzbyPI82PHbPIu61zx/AeU84lL6PBsP+jwrTf08lOgCPVOPAD3T0d48HeS4PIiytjwTLrU8+1q3PKljuDzeF7U86wamPA0QlzwEm5Q8JZiOPBEBhTzcomk8ZpGCPGqSiDyBQ488afuZPElfnzy2Tq88PSO4PG3GvDxpMMg8DYDKPGcX0TyxxdU8S3vPPP/syjww3sQ8t6bFPLEnrjwvBIQ8mk9iPFobZDw8+YA8jd+KPA9xgzwD4oM8ZwjUPHmBaD1bRhw+NI5XPq4vWD4hT10+Bs48Pq5vOT5o0CM+LAMbPmHaMz5HiTU+6Fg3PrMKNj6QjzA+jNg0PnMTNT4t7DQ+wLM7PqFjST5kNkQ+YBU7PlpbPT5pB0I+AeI/Pmy2Nz4+VjE+IdQ5PogNLz46pyk+fv4rPrW+QT6eHlE+cjNGPhATTD7kdzo+uFc8PiXwSj6OA1U+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9iCx89atM0PZlPUD1gQz89kTo8PSAtPT3hHUo9oWJuPBS1uDyYMjI9DHRIPd0RgD3pnHA97VBxPSleMD10Sy89SUo0PctFOj0MdiQ9PgYkPdcKIz08/xA9ee0OPZPQBz2nJ/o8oVv4PFV19zwMSOU83//lPDXP9jzAtwk9EaUGPZHj/jyW3wU9GuACPXN88jzzMO48vk37PDAr9Dzpkdo8UGTZPLXG3TzKa8884Y6+PCo9zTypeME8Mt66PBqxrzyroLw8IXG0PBsdnzxr8aQ8xAWoPJKDqTxu4Kg8vESxPKI1qTyajKo8nPCrPM1hmzwP2p88TsilPL0NtTxNe7c8SaO2PJbEtDzkCME8ryXAPKImsjxvmbM8PYW6PEnNuzwv8d08c9frPNo3zzyrVs48pQDNPJY/0Tz8jtA8OdPRPHqt3TylgeU8f//tPFbQ6Txlbfw8I7YJPfC2Bj0Z8fM8QWbUPIi8yjzR78E8FqbrPNx/+zy9avs8UDnQPIepsjzWzb08wgzHPAPPyDw5WNE8hB/QPNN80zw/Dt48bmTrPBjO7zyuQO48AefcPLEj2zx998Q8sCy5PBxWvTz9u9I8dJHrPO+H8zyTpOg84QcAPc1n/DwHdfI8M7T0PPsr6jxPvuI8DM7RPKgc0TwB89c8/VHdPLn/6jyCrAI9R+ACPey6AT2OhAI9ADH+PERrAz1sT/U8iMnyPA+17zzQK/Q8QYbqPGLs+jz9Tv884Ab5PCd65zxei+E8c1vbPGqn5jzoPe08bULmPFtHzzxsHsc8Wd/VPKsaBD0CMgc9jbgFPWjPAT2G3/o8OpjlPJOb0DyPI9w831roPBu7Bz3kZg89OC3+PLBT3DxH7sc8O47IPHYnyzxXMNA85G3pPGhK5zxb5eA8dRjiPEvz7Tw+ovI8XNb/PMvCDD3q1go9VJj4PC5v5zxfjME82SS7PCyTyjyfUMo8sPPNPIgYzDwN97I8rEC3PHLhzjwkBc48HQLKPEgx2zwjZeg8Wv/sPNQr6Dye1PE8oSf9PHzC2DxzVLc8R9OnPOMLmTwrHZU8U1WhPJ8qtTwPvaI8y1iIPEzogzxua4U8fzyQPJd+jzz965A8YMGePJ5roTxC8J48pk+SPFT/kzy1QaE8J4CkPPHGpzxiFbE8TjekPJyykTxQGZg8EeWVPOeikzwjLYo8at+OPEjJpDwIhJE830+BPHQ4gjx6VYY85+WHPH7ijDzqnY88CeeRPMRXkTxWm5I8vQ2cPBD/oDxS4pw8NAKiPPhJoDwMC6Y8Na+tPF37rzxFZ7g8Gx6zPE1PrjwD7qg8wManPEocmTxISos870+NPHJgjDyBFZY8oqekPFqGsDw9sKA8tNahPOPkpjy3a6g82CSqPGhNqTy2HaA85C6mPFGvxDyTntU8bmzUPBsWvzzw2bU8/Yu2PCE8vTyMIrs8HxmuPB39sjygJ7I8TbqyPJSuszyALrU8lDnCPAg5zTzKfNM8qmbYPMjb3jxj3to8O8bVPDAq2zyNhtk8gKPgPKcH+zykEQI9kxT9PEyRAT2jbQI9x0UFPYnRBD34XQU91tQFPdHB8zyuEew80MzvPNv/Aj0gJ/k8CnrvPH5c2TztlNw8bhXfPHZ64Tx7Oe881THjPP+TzzwUSNI8P9nLPMp4wjw0csQ8ZADKPNdCuTzVcbI8MU2sPIMVtzwRZMQ8GGXIPDsOzDx08sg88XHJPMvU1Tz4hNo8snraPL1z3TwiBdg8RUzkPIsh5Tw8D+88WtD4PA5C/TyTZgE9jOvxPIPs2zy3QeU83uTyPMB48jyzS/A8kwr2PPL8/zxkewQ9/CkAPXys+Dwg/eE8cL3iPLQ25TwP9cI8R/W9PArVvzwPXdM84Y/cPKXg2DzxtOo88fP8PI2EAD33KwM9gGMCPQtDAT155gM9HcMBPWwnAD3tAgI9Z2gGPVg0BT0HqA09uRUFPXh8+jwf9fs8h70DPaecBT1eWPk8tXX0PPAi9zzuU+08jRfEPLPvtDxeNaU86SSiPCofmTzebJI8GLuLPMDqeDxER3g8dhx8PCTefzwc+Hs86+dzPFkshDwQDJQ8nruSPH9YlTymt6I86SOzPDJcxTzRVsE8PgjHPNVFzDyD+8s8Oq/JPJHDvjyNEbg8JzuuPPPVqTwUgZs8MB6NPJP7gzy6WII8Cxx5PIplgTyvYK48NM18PYifuz0I7fg9Lts+PvxmRD4H0Tk+ef40Pm/uPD4hpTk+sakrPvvNKD7pOy4+7uErPj6gMD60mzE+KysvPnH8Mj78rTg+2t1DPm5tQD5QzUI+a3FFPjHvSj658D0+QyI1PmFQMT6QKis+Z3wfPm5BIz6u+Cc+704gPlW0Jj7zaj0+FuBNPtUIPj718jo+q3o9PtDsOj7Y3DU+8O80PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8YvW48uWD9PHHLAz0nQOA8WO3SPILFDj3dMz49ZkCGPLOVqjzjfqU8vqGnPHOdnDzx9rM8zuiiPCxzuDyPcME84a/fPFU25TwETs88PSrSPNJexTzgx7w8YdzDPAZ50TziIts8BdXPPBhVzDzrNMo853zfPAxzCT3Apeo8EOjMPIX7xTyskrg8lQHLPGcdwTwcVrI8v2PQPIg3yDzGkK88iZOqPKPGtjxPGbs8+XWxPAw8rTwYzqw8ELjAPIb4wzxb1MQ8wdjCPASowDx107U8Mj2/PE2hxDwI29I8tAzVPPt5zjwTsss8sBjQPB8k1zyDit08+FPiPHJ5+DwyY+08wZfdPNx33jzT4+c8rnzvPMoW+jzDpvA8UbXtPCxL5DwDWdQ8qY7PPC/7vjxKcMA8DWDOPKN41zwSQcU8+0/APNRiuTwo8rI8mxq4PGsFxDyNkrw8gx3OPH6r9jzYZwM9fv34PNPk8zygde08gM/cPAC93zyBKNw8gHTaPAR/0jyVUtQ8wTvfPFDn9DwcPe48YTfQPNJ+2zxKu+A8fvfqPDYh+Twj8PU8MYvePF/b0Ty8vdo8gY30PB1L+DzyPgA9TuYGPWY+DD0uaQc9QNYEPfxqCz0/hgU9a2P/PL3h/zwIrQE9fHMDPedaAj2ttwI9jL7mPJjo5zxkCd08tBrnPIy87zzLnuk8f3jtPCpq4zznRsg8Vl/MPOeR3jzScA097WEOPcSHCT1LC/Y8CkDePLet1jxvXd484/3kPAou7Tyu9wA9THD4PJfp5jypPtk8A77VPNoH2TzN0Nk83dDiPGbpAz2B+v88ksryPGoQ8TxJpNw89dHMPDi65zwRZeE8pY/PPJgMyDwfBb08gtWqPMJzozw1QqM8R4SkPLz4pTwQgqc8MZGiPHRpsTzkxLk88Z7HPAuI3TyTVNk8XZ/UPP4G4Dy2O/g8PMr5PGIX7TxMvs48BrmwPGmfnjxnXZY8XvmWPEMWojz8U6I8O2mSPMwuhDwhUYQ8E5uLPHvZoDw4oaE8DuGUPL7RlDzFuJs8+bWVPKX+kDxojZA8MsyJPB7ijTxfNJE8Wl6WPCZ/oTzNCKA8iLKlPCP5rDz5Pak8P+uhPBOnoTw6zqA8XNyUPBKeizw5T5A8a16UPPuoijzXtYU8vE6YPPA9oTwVNZ88Ph2dPLUnnjxsjaI8pGGlPHVfrzzNlq488gOwPAn0sTwjpKs8zZqqPB1CtDzxvbA8nMKsPBeoqDwAK5w8mo+SPHgmmzzqQKM8/6CvPERTsTx0Zqc8ajOpPDU6rDx0NKo8mLSsPJMatDwjA648xEG0PCpKvzzHEMU8mF+7PE7otjwY17Q8aWOxPFXWtDxTq7k8URezPAuqsTz9Ubc8K4WkPJdXpDzKo6I8ysakPGEvqTy+jso8n0LpPCED7DywZuw870XpPCl28Dxg1+o8WIXoPG2p8Tz5rQA99Dj+PHM35DwO+uQ80tbwPBrv+zyWHBI90zUbPSNiCj16JfA8jsXnPLhF4zxxWN88H8rgPLhQ7zzIKO486MT1PG/m+TyPa/48+Hz0PJbdxTxJaMQ805bEPGeaxzyGB8w8rPnGPI7PqjxDUqo8FA+wPIzOujwawsA8XerOPE2F4DxCBNs8Dw7TPDnMxzxZLM88pWPSPBs82Dwa6eg8TjvrPA9J+jyJPQE96of7PJeR7Tyrk/M8bBL3POX68jwonO48wo37PLzUAT2T3vw8or7wPL4u7Dz9y948dbzhPCK75DwqfOU8NjTjPEc26jxcn+s8SqHXPCEb2zx/M9U8R8DGPDgIzDwo9Ng8Fs/UPC+X5Ty16v48SU4NPQaLBj2T2wI9bpHyPOKj2Tx+sd48k1H4POcvCT1KUAQ9bzMCPSWG+DzDS/M8UML2PNNt+zz13Ac9HRYFPQr78DyvXOQ8GOa2PJGbmDz+Jok8e2V5PGfdgDwUHII8L0OAPL10ezzWZHE8uXZ4PKEFdjzktXQ85Ot8PMzleDzGsoU8zTmMPNL5jTxMPpQ8gBOaPLwDoTyJF7g8Et2xPKxztjzIGr08YIOsPPdgnjyPypA8ztiNPNLHkjxubJA8SB18PDfkgzyu2aE8FMjbPO6q8zxNmDw9A1q7PTdRMz76/zE+OZo1PtIiPD5hJzg+x3U1PiFbNT5ioDE+vUkyPsh8LT7quy8+GRZBPub9MT6q/DE+8ns3PkPvNj7xhzc+lw49PrELOj4bTjw+IHpDPizmSz72/EE+XNc1Pi/SLj4+xS4+YS8rPip3ID6fCTA+prJAPkpqID5E4CM+DXAsPlh/TT5Z6Ug+MastPkbQKj6tCxw+0cgVPuxlEj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3E8hzuinl08+kdwPO52izyXzHs8kRR3PJVdlzx+sgI8wC0fPLoAeTzSpH48iIdtPNpSiTx7fqc8WRGuPD9ksDzT18o81Nm3PHuTpjw29a48EzS4PKqQujzjOrk8Ac+mPGV9vDymkcU8QZ/BPEC4sTytG608WE+wPNLorjw83K48m664PMHWzzwJP9g8Vr3TPANUxDwKjMU8yTrHPLcwxTxNS8I8tn/NPJ4i4jwHouY8Ow/WPPCKzDzs0M48XPXZPFPI2jyU0+I82g7pPCN29jyJA/c8k4DlPLZq2zxu29w8/U3iPOn4+Dy3rek8HlXaPPDz4Dyprcw8/OfbPLFP4zxHKdw8UeLHPNQCyDwPvco8gZXDPFqtvzwfXMQ8T6nQPI2S2Dy8ovc8gSoDPTSg8jyyLeo8ctnkPBjr5zxi3eg8PevmPKYm6Dwoqv08gFgDPboOAz0SWQM901zxPBps2TyYP/I8pC/+PK4QBD3eFgU90zvyPKLV7Dye8v086m/2PNXr9TyclQU9Ia0DPdlPCT0O9Rk96fsYPbkrDz1eFQg95akKPQodDD2i1xI9LHkOPbtaAj0NfAA9xNH2PEGa4DxcmeA8OjPfPIl22jwLo9g8+9HcPCpCyzyQm8g8UZPVPHzT8Dy2Wf08KJwAPQot9DzO3+88CXHnPKOR4Dwpqug8vczrPF01+DwZlf0899n2PPKZAT0M8Pg8lEviPLZJ9DyUsv88neYAPRvN8Dz9UOY81pjRPDcH3TyVJ9o8c7jHPKjgsTzpjrc8gvS6PBYkvjzKpr88I360PKO1nDyvLJk8ANeUPL+MnTxBKJ88TouoPF74tjyU+Kw8z5WzPFAeuTzFEcA8JnTNPI/0zjwWB9c80dXcPHSzwDxdgK88JI65PHaEuTxYrq08sDWiPLenoDzl8Zo8YFqbPK9CozyG1po8bTCWPMWqmDyNmZc8ev6ZPA9xnjwsSZU8TPqOPNPKijyMPIs8WVmPPBqCgjw4EY08uRWXPIBTmTzTTqA8RmykPMP9oTx/Zrc8Ure9PNmjtjxUbKU8ITGZPO+dkjyYtI889jyLPLtKjjwP9ZA8lq2QPCevmjw+DZ48hIqkPMiNpTxkWKc8RoGlPNVxqDzuAJ083e+lPLzftDwWxrA83ymjPG5loTxwhK88cb+rPPVrojwS0qI8gn6mPH10pDzlb608UHmtPPYOrjy1Wqc8y1OePDnVrDzU07Y8zpG0PKRxsTwt3qk8cm2oPBCGtjw7QrQ8QVqkPDinkTxiIpU8SB2ePDxKpzybSKw874WyPCm8uzxXHLc8IaytPIymqzwokq481YivPCY1pjwuwLM84+7SPCmL1jwcKtg8vi7oPCWU9jxepPY8sGDzPMEg7zy5d/U8hBgBPRAyAT39aAA99hYCPf6SAj224wg9tzUNPae8AD3Vsuk8jSvnPDc46TwbffI8TwTuPDkL5zxrJPM8bUbxPG6q+TyxU/s8XiP8PHmz3jxSaME87xfEPA7rwjyD9sY8tl+8PL+TsjxAjbQ8Kp6vPMrBuDx1B8Q8NpPEPACIyTzVOdc8377VPCVx0TxVrM88hz/hPJSu3DzdT+Y8vZ7+PI+I/DzMJv48b3YHPevCDD2CkAE9a8f1PAqS9Dyb6OQ8H2PbPNZu9zwikf48LsYBPXcLAD0DwPs8Em/xPLjU6DyDteQ8/4roPHIj6zyJNek8FTLnPCZy4Tx2mNc8Tf7PPJZ/wDykg788PB7JPA8n4DzD8O48NV//PNEaCj0lJg89COz2PDsq2DxAEvk8pz76PDqEBj0wfxY9/usKPdT2/Ty8j/c8aiD2PF/G8jw0DOA812XsPBG55TyYM8A8eEGxPJ5QjjxZslQ8T25DPGWDRzyqtlQ8U1pMPNmwRzy41Us8C9lKPEX2XTwZi0s8v8BUPIEDbTwJ22c8H/7RPMEo/DyPYfI8t88LPYwOLT3e0Do9hdNwPZ3Gjz0FiZc9vSOgPZHmqT3aVLo9/0vdPZUw3z1NdtY9LMzZPUbJ5z1P8/I9DKUDPhiLCj6skQg+k5gYPvFELD7oazM+Jo8oPvY5Lj4LJi8+Xc0+PuomPz5/oCw+yLMdPtZZHT6uXCI+W9AoPlhSMT6Vyi4+szswPiSuNz6sxjo+uzo+PggiPD6BHjI+iKJCPrSzST7TokU+AwEuPvmGMD5aGSc+rksaPjL8GD4yEBw+8eAgPhlEIj7r0Bc+SAEUPtygGz65QR4+nBI+Pmj3Tz79EDs+S1UlPpsWGD5BGA4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf43BQjwWs1o8+9KKPApuVDzg9Gk8f9SbPBmMpzxyN0Q8l/87PMb1azy06Fo8BHGCPBeTjTyf45Q8vSCLPAjLpTyJzLE8Ch+1PKYNtTwp5MA8pAnqPG6g5Dx5eck8ABTKPLzgyTyRBc48MQHcPGPZyzxOY888XxTaPCam1TzdfsQ8Q+HiPE0B+zzI0uE8ZtPuPKtYBT0YuAY97Wf9PEzu9Tx0fuw816vhPH9V1DzqseY8Oe/jPH+C2jwwHeM86U7jPL3r3jxxJ+Y8z/vZPOh73Dw46No8fHvXPGjy2TxDp+M8v9bkPCDQ3Dw7Gtw8eDHfPHPw6jz3LvI82ZblPFnI7zyxjO88WuDlPLF95zwnZ/48PAnyPMTr2Dy5Wd08F7PrPPLt9TyXfvA8OnMIPTNKDz1REg89vKoVPWkvCj0NCgA9JVYDPbn09jw0HQQ9g8YNPbCvBj0D2g09u9oQPdxEBj0cTgc9r8YNPUNxDT3x6/w8FEv2PBfy7TzOrO484lAAPdXgFj23DRk9EYIMPX+TBD0C7/E8pETsPHHb9Dw8OvI8Ql/4PDvf/TwIkAM9AHL/PP+YAz2bnfk8egP9PPe97jw1JNo8kcHePDwHAz1HOA49RqcJPccYAT1RA+A8dwXiPK0B5Tznves8DCzyPB/I5Dx5Nco8F0LVPLWjsTxCCqI8feGhPHi0nTyo8qU8MJ+7PLaDvjyTl688FBWsPErnozyzqaY8mDChPETZnjzfd5g8EaioPBfXuTzSYcs8VnS9PNVkwTx4i7k8n0iwPHLZoDxSdKQ8phqnPIRkrjzEOaQ86mSmPPYTrTzlUK08A1uoPIbpmzwNaZU85KuZPAE2nTzHS5s8ITeTPPAiljwW7Jo8ZbCZPM28mDyByp88NFSZPIfqlTzjB5g897ePPCdYgTyUN4E8U3OLPNhNkDx/n5Q8mbmfPFRRqjylDaM8vYKkPKuVqzxfdKo8QomdPD8TljyIPZA8J/iNPDAckTzkFpE8G8qOPG6Jjzx2xpI8hnCjPPNsqzxUJ6o8TsKiPDZ1oTwuNaI8QIalPJzNqTygG6w8srOiPG7GoDz14K08ypatPKlTqTypMqs8bZq0PIpHsTyq1bY8pTO1PKP+sjyXdK48doajPAn4nTxuO5o87pabPJyenzzrR6Q80TeaPP+lkTzziIk8wUCKPBBVjzw6SpI8qL6YPJChnjzPvJ88XzWnPO9cqDwSeKc841elPI07oTzb2bE8sQatPIsDrTwQ3L08flPbPLFF6TwxjuM8xdTcPBPy4DwPevs86zH6PBAV/TyAtwU9mGgKPXmfCD0N9Qs9pvYJPc1o/Dzivvk8E3n2PMOx4jy8sNM8LvDWPE935jxVyeE8Zg3nPBIu3zwCFsM8EOXCPDlW5Dz97+48H8XrPE9j7jy4LOo8713WPCCXvTxOxrg84We8PGOuvDxjKrk8ZHDJPH/hyTzJnsQ8S1rKPCNxzzyWQdc8uQnbPFSW0zxeUNg8JXXbPNZY6jyScfU85OH0PHJx7zyJ0ug8cuTmPE378Tw4pf48waT0PPP96TxFvec89BXaPC/b0DzP/+E8hsj5PIdJ9zz4J/E8j2D7PEE6/jwA4ek8S3LmPFNC4zyjVOY8txPlPCJg3jwr/dE8M+7EPDLntzyb/7o8YU/JPMl2zzwU3fI8ueYBPdMMBz198gk9lYUHPcEz+jxZ4gM9+tAMPQycED1v5BQ9ZPAPPYIyAD0tres8M7jfPIJs2zxrxL8849yOPN3XZTzSKWE8CFtBPHFJQjymlTk8QcEyPH24gTwoWLk8njgPPcBSPj3xE3M9ysStPc8Utj1h07w9Md7EPVtrzj3QSrI9bcaPPXnC+z1PDg8+JSAKPrRTDz6Xfxc+zUMbPnydGz7jXRE+i74LPn4bDD4c0RI+1fIePtvjKT5HtCA+PT8dPhfjIT64wC8+FMY4Plv8LD62Ox0+9YEkPgk5MD4uPC4+1FsoPmJRJD43GBs+ZSUiPuPiNT4sako+jedUPt1xLT56YyA+O4IoPllBMz7K7EM+MDIzPqAiJz4h+Tg+O847Ph6gNj55EDg+/FsnPjn1IT4L8iY+33MwPrfXLj7VAiQ+dv4qPoBvKj7TjiY+aWcZPu8cED7k2w4+lwL3PZsU8z2rswI+7cgbPioeGz5INxw+KgYqPtvGMT56Cy0+SfUoPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/LxFoO4adCDzHk4g8vfJ9PHkqQTyL0048imSIPND5wTyNQbs8x4SbPFGTkzzyH4s868qCPCSXrzzTRr48JSvNPMSb2TyP2d08nofUPOXW4zxFWv48vgLxPKgdAj1H2/M8xwDoPD567zxcetA8vLXUPHnr2zzSb+M8jtvcPGMf1DwxA+c81d/uPLmL6TygQO48lk/ePIiO5TyUYeQ8Zlr0PNtX+Dy2Xfs8w3bwPD8l4DywdtY8PgXQPIbnzTxj0NY8vLrmPO6h7DzBFe48WLj9PEf9BT3mgAI9UOcEPaHCBT2jQPw8IDsFPV4sCj0a5gs95i8RPaRUCz03qQM9cg4BPfEd8jwimfE8OabxPJGT/DzKk/08veoEPT4UDz0cTQk9C64QPR8rET1oxQc9rasKPSJuED09+Qo9BPTyPNga6DwU9ug8M+QAPTL8JT17VC49PIkHPUIR3TyAQMg8GfnPPISS4TyzZAM9MdUFPUHjAT196wM9LFYFPStxAj0vPvI85KvDPDSeuzxRF8A83KzKPEiZ4jz/z+k87n35PMuw4zyXMdk8ENHCPH6ouTzGI7s81ozEPLzLxzy5Pso8nAbKPOR9vzw4XKk8DwOwPD4ivDzLZbc8HUGxPHdBqjwrJ6Y8OEuiPLJPojxVKpw8EcSjPJXerDz42cc8fQzKPI2dyDwIhM88h2rSPKKYzDw87ME8LrKyPJA2rTz1ba08WxasPGAIqDwb6Zg8W6mPPCQDizwUEYM8di6CPCeqgTzNCY88hReJPAqtizyUmIo8kraIPId8ljxZGpg8npeRPKWomDx8upc8TY+ZPPP3mzyszpc8Y+GQPG18jjw7h448YvmWPB1HjzwzWY88Gr2SPBF7ljxy6JY8p8epPMv8pzzeeqM8dW2hPIXBmDwE4pc8xUGPPBuRhzxjl448tmWTPPU/lTzky5s8ZCGlPDO4rTwGLqc8mDWpPCa5oTwN+5g8X0GcPBkvnDx93J88bdSZPO4ckTwVCIQ8lCuPPGaEnDz305I8ZtGRPOLcjzxghJg8+gSZPCgimDzM6588aCuhPHwVojxHuZ48HKSaPGgylTzapJY8B/yWPOvpkjzfWoY8TCeIPPiyjzyOIJY891qaPGwHlzwywJA8pdecPGOQqTyypqY8LryiPJk5ozx92aY8uSe0PFditjzgkrU8giLBPKcD4DzvBvo8ywz7PBY47TxkBd489HfuPCrd+jzfh/c82CbzPMGo6zyPN+08cMHzPP9o7jwQS9k8j/LgPNzW4zym2+E8Re/sPCxY9Tx5W9Q8MgfPPHsw1zwQhd88KqHSPGG4yTxz+Ms8nafJPBXDwzxyqLg8sMqrPB5aqjyJzak8i7KqPLhNsTzqDrw8nljIPB6yyzxnKMg8zd/BPFY8wzzzIs084ArsPBb97Tx2mPA8xqcAPXkg/DwhP/U89q35PBqK9zyBke08forsPKqL6jz4KuA8QAvoPGFT2TwjYsY8hu28PJ8pvDzxqMM8L8XZPFXn3Dyk5tc8NXfbPDnv5jwgR/A8/TziPF0NzDzP2sw8l27PPNrJwzwlkLo8xmvJPJHcvDyApbc8ksi9PMpryTxCjtw8riv9PHZtCD3P1wk9jeoXPQGTID0t5As9AloMPb7nET0WcQo9Dk0DPZLQBD2sjPs8bC+3PN0lczxMVko8k2RHPKj4SjwOMD082CU3PDqmWTzbt5A89HL1PMyWjz0Osuw9Sg0JPt6+Jz7vkzc+rMUoPq3/FD66Uw4+IZAYPpanGD7TjBs+YxwgPsRdFD4PkRE+LowSPpEGDj7OXhQ+o7wTPo5YCT43rBI+KTEPPnviET6zmhc+fHgZPuVTJT6rHi8+3qotPvJcIz7NPCA+opw1Ps/GRD7YMDA+hj8cPqrXIj6ENik+A40lPm3AIj71Ri8+a7UoPjU+Ij7J/Cc+8cA1PpSuQD7CIkA+vg0+PoHJQT4ok0M+iNhHPhFVPD7Qbi0+ijw7Ps0pPz59CjE+Wc8tPjS1Mj7l1ik+N9caPlpuJj5QFCs+1zoePqMtKD44NUw+vtpkPvrxWT68iz8+RlkpPuQFOD4whg4+V4MFPq4NAT4T1wQ+PP8NPvnMGj7P9TM+kdE2PopJOT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/wuqcPNAFgTy92G485clRPJh/PTx3Y5w8pVv/O2PmiTwGVaU84860PHb7oDxpu8w8DNr+PHLK0jyTiNk81YLBPGd6rDyqy7c8XejRPFGJzDx0WMU89vHDPKrYxDyD4MI8+w79PPuUBj1JQgU9hJH3PINt3DwYyu08T3AMPXqyFj2YXhA91s8APSleAz0QVQE9rO3qPA/33zwQa+o8K1rrPO94/DysIQI9hnf7PPq4/zzZdQA9sPAHPd5hEj0wIxI9YGcgPYUPGj26Dg49IVH/PE197Dy/D/I8yHDhPCU+4jzXKe48HK0EPQMdCj0aWAE9QecLPeaLCz2kAgs9JroHPeJ1Bj29ORA9FwsVPclWCj11FPw8rGgGPff6Aj3BAAE9fFkEPfvJAj2eHQE9ann9PJPT9jzuJQI9qFwAPZqI+DyUh/M8a2MEPX4qCT0uHgs9EqYNPXNfCz0ZAAE9DdvcPOsHxDxFpbc8ZkfCPLtUyzyFI9M8n7/lPNh04DzaeLs8+FOvPO+/wDypmNE80OrFPJTVyjxhg8M8yXHEPHJExzxOAb48mqy1PG1XujyRFcY8XOfBPH/Muzyl26s8sNiiPEAApDz0HKk8kxSoPG7ttDwGAMg8IjDSPNFV0Dykec082t7MPOcm0DxGD8k8ZbmrPDaqrTwgu7s80hu8PEP+uzwJF6Q8deiPPNSRkzw4f5E8xz6PPCNqiDy5KpM8/uegPAQXnjxewJg8BquSPCL7pzwJfrY8XxCcPKGBkjw8YZM8g9+VPNxBozxKQ5082kSWPAM8mDws1JE8Za+IPOhzizxhMZc8lq2UPIUFlzync5w8SMKjPN55rzxZrrE8EpKiPG/bljyerZw869WXPDRTjDzKh508PcmcPIvjlzzYZp08enSePJMIqjwshag8E36kPMyHoDxgbZ88pk+jPIpFpTxWWaA8gzKUPH/OlDyoKps8cjuTPIgljjwpJ488XqOGPNgfhjyNYZE8prqdPEiLoTzdm6U8kNylPGayojw3dp48O66mPGGdlDypboc8GHF7PKAhgDylcIY8PpmLPKermjw4rZY8trSUPKJdmjyoz548/NKgPFxfmjzom6M8DyifPPmOnDxy7qg8x/KuPKk5uDzxMb48Gp7HPHhpzTwNHt88uyv1PGDU9zwJKO88mgfnPCY93zwdh+I8qwvmPGNI4zxTd+g80zLhPHGC6jxEh+s8cYndPG4n7jwOPfk8Lxz5POVxAz1GRP48/8TrPP+j4DzEC9s894jLPADUxDz+ea08g2WdPGHjnzxCXaQ8tbanPLfNrjxgX7M8dLKtPHv5pjyUpa48+QXCPJLvuzzULMU8PwDJPJhN0TxdUNI8BHHiPMWv7Dw5m/s89PEBPe8BBj0CFgI9LSkEPVlVAz1XBAQ9iIb6PHGW8DyTN/E8MmvwPKVn7TxXid48kMncPCjT1TxvX9U8TbHTPKXG2Dyafdo87KPXPDWr1jzhht08PQLhPE72yjyHu748XVTAPPiAtzywkqo8XZ6xPP8IwDy+Zrs89ui1PB1nwDzluc48dRzkPBin9TwSvAE9HfgQPaLlJT0tiyc9yfMQPbOkDD2iBwA9FXflPPEz1jxm65w8P+JXPMm4GDyNcTU88Vt8PDdrJz2gbc89SKAbPq2mNT7ySxo+AcgPPn78FT66vh8+cNYcPsQsFz5mgCc+RvUrPmYpID6X5BQ+10sXPmrAHD41Wh4+SS0fPqYvHT5xfRc+T/0VPkhQFD7emhQ+15caPvDcHT4vKRI+mpYZPlb3Gj6RfRg+qkYWPsYFGT5SVhk+tEchPoK7JD4yNh0+PVEdPknsKz7/cTY+tHoxPm3KJz79tB0+oQwePpGvIT6T3Sg+T1QqPjDsMj4icjY+82RJPj+OQz7E8D8+SSc2PhbINj5G4UA+fsBOPnTxST4NTlE+GaRKPu5JPj52FTE+TiwwPmsaMj5anTo+h+VCPksZPz7DJD0+bc4xPmzPGz5S8w8+VUlGPkaTfT4912c+Q7EiPlAj9z3bDgA+Xw0DPs1NBz5sbww+LCQJPu5wEj5juyU+lu4sPgfNNz6Q9zc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/SuWRPKqjmzw9bnw8HFqJPELWwzx8jcA8Ko+tPNPYrDyT1K08eTO3PE1MxjwH2dA8xIG5PAy0sTzbpM88VJjgPK24Bz0FYw89JgHlPDsRqzz7Xs08IY77PIr19jz/eOM8Y5LoPNCL8zzjfQI9bSoFPceT/zwdBgw9o9MSPYcUET2ajw89mP8CPSwbBD3NtwA9USX5PLMP6zxmGfI83CEJPeq3Dj0D0Ao9w/8HPYLcAz2IXwE9cCP7PJMaDT1o6BA9OiUOPWXIDz18Mg89SVsNPfCRAz2XhAM9b2IJPe9wET26MhA9uF0OPQJ9Dj2IhhE93ZsVPWCeGD3ZhhQ9BboYPUdcHj2Q9Rc99okXPWkTCT0dVQ49XeMLPTgNCz3jUwU9SkbsPHHkzjyactM8otvMPGEMxTysy848o3vVPOA30TypgsU8sZ6uPPn4pzwtEKk8YBSyPKMTwzz4E8A8avi7PJ2itDxi4708eWPSPAGs7jzCO9c8VYjHPDe5uTyPXa48LjeaPL5DnzzDv6s8sqKyPKhdrzxPB7k8hQG7PC8cyTzOu9k889jSPNo41DwE7788rsutPD1SmTz01JA8txOdPON0qTxAhME8QRavPPqujDzi7Is81AWNPAR0lzxguZg8iFmYPB1Blzyr2J887ZyePIcMnTw/q6U8OuejPI6voDzbwZk8UwCWPJx0mjxH0pw8C9qUPFn5gTwSqII84YOGPDxhiTyhr4w88eqKPDZejjwT/5E81SOdPOf0pjzOXaU8FleePDTInjxaEpQ8Na2PPEwijTz9kok8kCaPPJwEoDy//Kc8Ov2xPF4VszxYAK8850CnPATbpjxGyqQ8gBSlPA7uoTzSmJU80zaMPP3alDyAqKA8GBuePESLijyZ2Hs8QwKQPPPjlzxj9JI8SGSYPGqspzxR36A8oouWPLlZkjyy8pI8CdeSPHqokDwnmYs8mw6EPFAjdzxX0H48ESyQPKK2kTxDlo48E2OKPCJpizxIzYw8XNCKPLRGijwHLZc8/rulPISLrzyF4qo8Xki3PHmUuzyahMo81lLXPJ+P1DydctU87OnaPJbL6jzq8OQ86/PhPDIj6DxOW908+RTmPMPW7jxtZ+Q8/zPmPIqG5DyL7Nc8vwLUPOAV1Ty70Oo8me7vPFGS3jxfMNM8afW8PAaxozxCoaE8TkGfPLN8mTwEAJQ8+TqaPEhHojwTpKM8dXOoPMGJrzwK9q88fpOtPMEHsDz1sbI8yN2yPDS8wTwvYcQ8XBncPDy93jyGaOQ8ic3gPFPD5zwJ4vs8Pov/PJMDCz1r8Q89r2QHPeM7BD2BvAs9ip8OPU84AD2jCPI8ReL8PLL6AD1QFvY8dnvZPCiz1TwjoMU8lKjCPL6AwDxaCMg83ZnaPHbP2zwsztA8pra3POISpDzqUrY8pOy2PBDcwjwtXcU8eiu8PKA4uTz+o7g8tci7PAXbxTxMiME8Bam/PAv/zTxIf+g8jDH5PIhm9jwlWPA8yzToPA5i1zwBOxA9sUhgPergiD1MTI09nWOhPYftvz1zw6U9VXiKPYmdtT02dA4+S+AlPiRHID5vVRg+zQAYPsgLHj68JRk+pYgcPvmXKD42SSI+wfklPs0/Iz7q/CI+ELscPuB6Ij6kNyQ+zDUdPgvdID5NQRo+i7YSPp72FD4qGBc+oMwXPt68Fj7GqBg+NUwVPvY1Ij5soiI+E1odPhAPGD4TmQ4+4uwaPoUvMj4YIyo+JkQiPm3HJT6jdCs+Iu08PvMXNj7XezU+gCQ9PjbZOz7WTy8+cr8rPgMQLz4Ahjk+ScdAPh2xRT6u0kY+GlNGPsq5Sz55vEM+SYRFPtr1Tj4LGEA+LV5HPrxTRz73vE4+DypaPnoSVD7h7zg+xg4+PlWANT4KvRs+wPgYPthLHD4I2/g9wZ3qPX7AFD6tfCI+KkkiPhRCFD6aE/E9uKTpPfE6/j0DIg8+9t0PPivhDD7Pnxw+ziQhPpHmHD4yXxc+Ml8XPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/mZLM73X6vPDV3AD0/efQ8pozYPBBa3zx3SPA8BSmlPPuFvzwaCsY8wybBPKpr1TwrCfw8ZSsMPXrk7TxEfu48LVftPDlD5TyzIOw8X/vuPEohAD0L1QA9Gd8JPRMTCT1L+ws9ZHkSPX34FT09QCI9+HEePS/xKD0jqTY9RfMjPcc3Cz2mPg49NlUaPd7GFD1mMwA9b1MVPfA7ND3Exiw9DXkkPfv5Hj2HOh09NQwpPWXsIj2REBo9btUTPXd4DT3JCwA9ItgBPQryBD1Ncwc9EL4LPZ1PDD3SlPc850voPNI/6DxY0uc8/fnyPJNX6zyfKdY8xOPCPILaqjyjnq08kzavPGcdsjwr48k8ytO8PKvYwTxAdsk8RAbSPHO24Tx8wtI8yoW3PD/CnTxICJw8RpCiPHs0pTw03qc85GO/PJH70jzE1808dyvLPOugzDwZPtU8ntnaPFAwyjySxbo8RmWxPBzemTxAOF08bdFPPBEAZzzCy3o8MR6IPIgOijwQNoI8XwOBPCaahzzZN4U8TW2CPGL2jDxKDZY8tSCjPNvcoDyCRqU83USlPGKjozwWAaI8oriePOLmozznlaY8kI6rPFsMsDwDBKE8+LiIPCt1jDwpfJE8x8mPPMzFhTwbgY08eLahPAeGrjwH97I8pjSqPCwvqjxdqaU8KbiePH2ElTwmbpE8MwOgPE9+pTyWnLE8Ba6rPL+qrzyfrbk80ru1PGlVnjzpS5c8CCeSPOagkDwW3oo8NXeQPEvFjDxWsos8Fn+LPLaLjjx9RIc8ZB6JPFXzlTz0Ypc8AO2TPA3GkDy3vZ48I0iOPMhoiTwRZ4Q8glKAPOZTjTwHVY88mqGGPDXMhDy3VYA8wgh+PHJghjwLNZM8iCeOPJbVkjwQAo882niPPCqYmTwbeJs8KVSlPO45qzwhG6484PW0PBlu0TypM8k82EPQPFZf2DxJS9A8n3XbPKY+8Dz2mus8OxTjPKGo8DzDifY8f/zwPA1f4zy2/9g8LejhPPxu2jyEbMw8ydfAPKWdvDwH4b081QOyPNzynjwbQ5E8EKeMPDfcjzzM5ZA8whyQPKOCkTxntpY8k8mVPI9clTwvH5w8h0iuPBUfvDxcRrs81Wm0PO6hrDyWDKY875WvPLgDtTzM47c8p0zMPCKK4zz+w+08micDPWU6Bz1sUgI9qS8APUAjBj1xjgQ9FqkBPcHJAT2xIwU931IDPWNB9DwaLuo87q/jPLyM4jzuTtg8NtHTPGGNuDyXyZs8fmiMPOs1ijzjg5E8FFeePG5mqzxdV648qTmwPG5zrDyES6o8c7/HPN70vjyOatI87AToPLpHBT10ShU981HPPBms6zwyFQA9KWUJPZZvYT2j+qg9n8SrPfXSnj3FrY09a9uJPV27lT2rT9A98DYHPll8Hz4NujA+q7QtPp/zHD7qNx4+LWcePntjGz4oaTY+u1Y1PqkjJz69/h8+1E4ePq20IT5iryY+DqEfPsOOHT7mWx4+hHMkPrUcJz45lio+VPkqPr3BJT6Rjh0+A6odPoSVGT4yvxc+iGAZPs79Dz7b2BE+/S0ePg3VHT72Ihk+CuwWPiU5Fj6BMh0+TEUVPjmJFz46DBY+UoUVPncpGz5H7DA+M4QvPiVwKj5mQSg+yMEvPmSRMD6ukTg+eVs7PsgpOD4qnUQ+0mtFPqn8Mz6KiTY+y2Y0PhjnOj6rwTc+lwhKPspsST7hH0g+ZX47PgK9OD7ibEI+t31FPkYfMT7WyCs+TkMuPkO4MD6ThzI+uVBHPpxoUj4N5Sg+WDgTPiqFED4C9xY+1QshPkH+Bz7iFgw+cnMWPhzRET7Cpg0+tH4IPiEqBj4cHgo+0qgOPoAxDj4Sahg+flwdPsAEET4hRhg+wh8aPsIfGj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8ZhVI8SxK/PIPzyDz73Kw8N5bEPKVo2zxvDF08A520PDXL/TzDnAc9cZvsPKej6zww0gI9UbcBPXABID2vni49ZSMnPc8zID26cx49dp4YPXCjDz01DQ095/0WPUBUKz18cS89aWgsPeaoID05XxI9dScbPZCfMT1W9CI9ZLkePaKtIT2+zyE9+JIaPQItFj16RRg98jMXPePIFj0H+hY9iwwEPZ5J8jzE1N08UPrQPBiizjwAnsU8F7HAPKlhtjyXv7o86oa+PEHDwTzx5r88jM3RPO+YxDypYsY8fYS9PJETuTyopbg8qkW5PCNEoTz5jpM8mciRPOLbkzxSW5Y8Hmq1PBQY0jznKN48AWPPPDi6xzybxco8/mnVPHmA2DwH9Mk8OBq6PDBFpjxGj388j59mPEB2Vzxzfl88dEdoPP4YazzuvHI8kqWEPEA+hzyFSY08VEmTPK9kjDxx6408eJ6ZPChznzzANaI87OikPItqlzxHmIk8tfaQPJNHlDw6ZJ480d2hPH7qpDwnnpk8/3CXPKY8kTy9AZM8fdiSPFhTlTyLrZs8wnSlPBoQpDz/e688aCe2PB71rjwinLs8MousPOcomDxF1pA8dY+aPDFZpjybt6M89UioPMrJnzy/mpc8hVKpPPnurjxb3ZM8iHSMPD9Ehzza84E8+o13PCN8gTx36JI8FFKUPCEriTw5JoI8P5uEPP1QjDzHgo485TaPPGyhjjxwKoo8+LGKPGJyjDxz3pA8MP+HPM18fzz8N4M8QjR+PPk3fjzdx348GsSCPCOXhTx7u4o8hkSNPOutijzOOpM8l1yNPN9ziTwYDYk8EBiUPHqnpjyGnLw8KRTBPCTtvjxLd788GQ60PFxPzzzn0tE8UDXMPJNQ2Tw56+s8cGz0PO547zxGYOo80U7nPJM75TzX3sU8mLCwPIk3rzxXcJE8j6d9PD5MbjzqQXY87WOCPKK6gzytwn48lmZ+PHHKgzw/44k8JXyTPLYcnTxyeKI8GZuhPJSRnjyCZZk8HJGiPGJVsTxo+bs8t7i8PNsnujzsgbQ8NyutPF8GvjwxjMg88bvLPEGU1TxmUeU8HDnwPJkP/DyRiAE9kYEDPcz8/zxRHfo8jVcBPbEa+zyDJPI8foznPLCC7TwGk988hE3TPPRizTymHsY84kW7PB+qrjzd4os8kotpPPwiaDwPGHI8JsGWPL8orzxsNKM8uYmiPAwApjxGRak8Y1W3PDndyTxxbOY8edEnPf9vcj1Ec7w9DJT7PQ/f4z3jhOg9VwTrPZlD7z29+Ag+H90hPncfIz405xs+WSwiPiftJT4cciM+z+QdPvukHT7Y7yg+8wMpPsbSKT7+YiQ+cg4gPuApKT5IZCY+L1AqPvTFMT4zwi8+wF4lPtRmGz4csB8+gn8nPkNcJT4dpyA+6eIXPjuFHD4oDCo+sb0wPuJTKz70dyI+VSAePn2AHT7+nBc+08AVPthGHT62Gy0+WGo+PvufTj64pjY+WY0fPk5EFz7HtRg+88EjPq2nFD4jCwk+qk0MPh/rDz4OARU+jQIoPjcAKj48fDE+bV41PjQzMT5gpSc+xzgmPh00Jz6KMic+lRElPrm+MT5zLS4+ioMuPv60Kz4XQSs+2MhBPlyvPD7naDE+Kas+PkQxLj56FyE+FucXPicwGz5bTw8+57oWPjJjFz5XtRU+r5kUPtohLj4qdVw++Dk/PhYwJz6fFBo++/kbPuHkKj4qvyU+hJQbPs10Ez6J+g8+UgkMPgW4Dj4UiA8+izYWPjj5JD540S0+XrIkPmYFGD6fGhU+y9AXPgMzFz6I/Bc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/zYEpPNqaajxiOOI8EFYJPWqn1zxTa+M86pcWPaI/7jxZB8Y8mwvRPO3nCj0h3OE8Ujz7PNoRHz2OMBQ99i4GPc/5CD2EJTU9b6UzPY0KMj0suB89cqMYPUyDGj39miA97BMfPbsUFD1/qA09mTwMPUES/jyKTdk8ZLfLPN4wyDwQw8c8pHXDPKz+ujyh7uo8F0zzPGs62jzE+9U86tfRPLCO0Txzdsw8nUfRPEZ2yTx7AsQ8SLu6PKqwqjxZbpk8M+icPG9zozznCKI8H7mgPGyPsTw2U8c8OQbUPHmSyDwLJL88zJLXPIzA7DzJw8c81GqrPIs9pzwdz6Y8LvmSPLTFgzxEq3M8fW1tPLoPaTwOf3E8SPaGPKf6ijy3MJE8+vaaPCNEnjwGipg8ZsWSPG5EkjwwJZg8LGWdPF+Zmzz33Yk8TkOCPNuAijxViIw8Zk2MPF66jjw+p448LuqZPB8clzyYlI88eKuOPPomjzyXOJQ8j3CdPFMWmDxHC4k840uJPKV0jzz15J883vawPHhArTy335g8GOqPPGx4jTwPvpg8xraePB+CkzzM5pM8c0CPPP7ClDwixJA8qXCLPAeEhjzXe4M8IlCBPJtjfzz2soU8wF2QPGWCkDx4moc8prp5PPv5fDzJP4Y8c5qEPJm/hDxsH4Q8CqqAPAcQkzw1jow8PL6KPEAHjjwa7YM8GXGAPHnYbzxEh2Y8/bpqPAk4bTyzjHE8HWRtPMcIezxlSHs82dSGPPNqjzzw4Y08iMiXPLNFpzyLvLQ8SyLFPA/P3jz5vuA8KiHFPFDRsDx7wck8FbniPGtL2DyJvNQ8kgPaPFkQ2zzN+dw8xnzCPH9FoDwLpZM8DbWOPGhbeDwqcm08gAtePLpFWjxG0188yJtwPJjdgTyun4c8g8eCPJS8fzySy4M8l4yWPHS9lzySjJo8xlWgPHCypDyQd6M8unWpPDRorTwozLc8iN+4POYjuTz+nbU8BEi1PGPNrDzgUL88N3TUPCaZ4DyVkOE8YqzqPLGK7DxYGvQ8aRoBPfoDBz19xA09N5wBPWUE7jxGBdI8hPfMPDrcvjyQPLs8TOe7PN+XsDxJBKo8u0mhPJGNjTwQOG08cdxOPADMVzzlfnY8sgSCPB6xjTwnYJ08VuukPMTfqjwTecA80QnLPEJr+zyHnDM9Mp2kPb77+j0kRBM+MGsbPp3jIj6SvCU+SdYdPkJbJj5xvic+AeYiPg4MIz7rUjA+YX0nPjObLj7m3zg+S+MwPuT6Kz7kNB8+xtYdPjuWHz4nyx8+04gePrpvFz48URg+a5wYPmdVHT5YAyg+ESE2PhwrIj40Mx0+kEIePgK8Jz5hBTU+OLIsPrNPJj7YKBk+HqsePvcmMD4eWTU+h60hPsSSFj4AdCI+MEMmPrttND7zIUI+0ApBPhlYPD7mRSQ+WT8SPjKqDT58bxI+OMkSPlgCDz53DQ8+DCYNPlq7Cz43AxA+22sVPnAjGj5EiCA+nb4kPnjcJT5u8SM+7XohPnKWIj5AWyA+xYcnPgvLKT67rig+B6ElPsQEJz6YvTk+gX1bPjxQgD5nPUg+hswOPm8oED5E9hI+xBUlPgwtHT5aUR8+yCIgPnkqET6qpxg+0LYePu1kID48uiE+D6FGPl0DPz6x0i0+Zq4oPoBxID7CDxY+84QGPgk3Fz6lOiA+a+EaPordEz5O6BI+eeYdPqhSJj4dni4+7PEzPrMbMj56tCM+5wwZPqJXEz55JxI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/HwBxPB8AcTwrZqk8WTYLPdTH4jzuCwM9cI8ZPdBXHD2sTqE87Jv1PNsqCT0g6vg8QU4NPXJ4GD2N7gg9oSTQPKuLyzxYytQ85HHjPG8S6DzXCvY8ojcPPZ/3Fz0aZQM9BYK/PMdbrTyPDNE87tPaPJmy1jynjsw8LnmzPAAnrzxAg7U8+x2nPAmnoDz0CKI8QtugPDHZoDw7Abg8jr7JPM0uvjxEoLk8POG/PJo64Dy5KtQ8MeirPAsEpTxLFrU858C8PJ1NszzRi6E8/CuXPPCDiDyTMII8pzaDPBgPgDwNonw8Q2qKPH6YkzyLL5E81ZeFPLOvgDwen4E8ufiCPAM0ljxa05w8KjeZPCnVoDysgps8LSmaPMXkmzzFfZ88vFqfPFSdpDzYP6I8ybOgPEx8pzz/oKc8V2KcPH2opjxxx6Y81c2bPOxcmTwnL5k8i/SWPNZ8mjyTdKg8WrGhPMywoDzcDac8XaacPBoEmjyMTJo8ngyHPI5fezwHlnc8uphzPHJ9fjyvw4E8nBmKPOdmkDyP7oQ8BA6IPMAzjDyCd34843hvPFfyZzx7GGk8L7aDPASviDwbS4k8WtuCPIeCczxicnA8tfF5PJYudDx1/2w80f9sPHQucDxDrGI8+zlqPKkNgTwrh4A8y9SBPJz9gTyXGIo8Pz+MPHJUjjz5vZo8zQqhPD6spjx2p6w8m7W9PHSFzDxNack8jxDCPP6MuzyKUb48v/a4PBQ8wjyRlro8Dn6zPOqSoTyVtJU86tiRPBUQezyLQVg8/7FJPB2ESjyie0U8zuBXPJl6XTw5m1w8V4VjPO0HcjzCq3w8NriKPNiZlTyZrpc82lSYPDzknDwSyJk8d4CcPHD+tDzfccI8UZfBPB//rTzZSqk8HvenPCi/qjxiVq88U8uzPHDDvjxNks885p3BPB0dwDxTesg8sJnGPHDqwTzeUMg8COLdPDcc2jzTBNQ8j4jiPE/D1TyVD7k8JSKuPNq8pTxRkaA8KfuhPKw5ojw5EYc8bchXPDhQUDzmx0g8AIFHPIIIPTzXpVE8asZnPP1NcjzuAn08qJGNPISzkDw25Jc86twYPTpJWj09ptM9eFMrPrfDKT6FOR8+suMePjRCIz5tRRs+P7olPk3vKT5xqis+PaYzPpVLNT7+LjE+4q8sPutpKT75lyc+bpQvPisPMT7yniY+2QYjPlhNGT5txSI+rSIcPrABEj6lhSg+D84lPjGPHz7rmSE+5pwkPs/cKj7Ahio+xVsnPrc0JD4+/R4+Le4gPsaiIT7jkyA+BM8iPjDpKz4uDio+XPo1PqplND5lYxc+jaUTPj1EDz78Sxs+tLkiPpZoKT682hs+Zz4cPj1ZHT5RFRI+13IPPkzsCD4ENgc+KRwVPlsdGT6pAhE+H+kNPosqDj4eqyA+7UotPmy6MD5BGy4+5GYhPoDhID7CFCA+KqYbPtopHD58ACI+icsGPkK44z0NwxI+yvIiPtuWKz6XhDc+8y8XPgCOFj51YxY+ZPQFPqoCBT6b/gU+OCIcPvkWHj6E4xU+sfATPlhaFT5gfhM+MZETPgeVJj6suDc+R4MrPg6JIz5azxQ+EmYJPi638j0EPPs9TsIVPozXGj76tBE+3WcUPkivJD6V5ic+kU81Pi4sQD659js+z/M0PmrpJT7HcCM+xtskPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/li8ePEQx3TzC2Pk8H3TePJGBBz0V2hU9X+v9O9XCQzw7Rqk83JazPDXFwDyc89w8OdXlPCEn0jy1OOI8y8jYPPMPvDxfzrE8lQW4PP8dqTx8+KA8QTm8PMjusDyVqKg8GhSjPEUwrTwt1qw8PlGnPKrEuTzrE8E8SNLcPMBQ1jyfjcI8nSPBPNs1zzxgDNw8Ki7QPDKCtjwqDKc8oJ6SPMEjjDz9sYk8RZ+aPPlfkDznYo88ZW2YPDqMnDyh6ZU8b3mZPIyAjjyJOIM8OQqFPHEihjzV6YE8fjGBPCrwfTwRco489PeTPIg3kzwK2ZM82oWXPN0dmzwOPKw82VefPPlPlzy3JaQ8p5GvPHkbtzwELKQ8Mf6ZPLa8lzw1lJw8GR6UPKpqnDyFFK88mO+yPHjnqjwoSp08oYmWPGscnjzxD5w8+fGaPIdxhzxYLYU8O8+SPLfPjTz5vHY8r7hrPO0kVTyLRFg8AKRkPOUvZTzLsXg8meOAPAoWbjyyVlw8qkBtPBhCbTztrGE85YdfPI2Jajx6Qn88U8VsPMT6XDw3dls8GxVmPGAlaDwTBGA85RtmPPf9dDwWdHg8RfVkPLneZzzp+Xk827aJPOh/lDwNN5U8f1qTPAlPpTxCeaM8+LaqPLfhnTwfi5k8iO60PAycxDxbUbU8F6y5PGUIxzyCPsk81yO3PAe3lDzBtHA8bZRdPNj8VTyX7kY8O2dEPE5gOTyglS489usmPGmXIjxKIyg8Dbs3PJTpVDyC4WM8pzxuPFVhcjyVJW48sEB9PBh9jTyoe488CMOXPF1jnDwVvqI88X2ePKEuojx/P688uDyzPLSAsTwLcqg8B4ulPD1eqTxhy7Q8BUHAPDT4wjw2FsI8/S+qPJD6oTxBVaI8yzerPOf+rzyMJLQ8aT22PO4EzTxRStI8g2zQPOHc0jyqT7A839CPPOV+gDwwq1s8qdVMPCZmNzz1zSc8rlsmPKThGzxSoCc8A8ovPADcQDzVKVU8NnpgPOQTazx96Ho8nquAPIxXfzwy/Hk8ftl5PM65pzwmmNQ8s0JBPWm99j3K1yU+EJcpPlqyJD5Aeh4+b/4ZPpJUND6y3Rw+3bAWPjeWGz7jiiE+m741Pu4OLz5TKSk+d1ErPjA/Kj7K7Cw+eQwkPvMMKz4vxig+eLIjPmM4ID44Ghw+cEQxPsqyMj6zTSE+q1MdPtBtGD4WaBc+cG8oPhb4Jz7bNig+lDodPuIpHD5gKCM+9J8tPj24MD7JMRw+5+EfPlJSJz4vJjw+d3YkPkQqDj7cGxk+zaYiPrP2HT7upiY+JGwcPlGDHD5IIyI+CpAdPsOPGj7CYhA+NikOPpUMFj5j7A8+HVwUPsviGT6T1hs+uY8ZPhHtGj7JEB8+EVYdPrI3Gz4rjBs+gu0hPj/3Gz7QHhg+geUPPvw69z1YOeM9QMcEPkPDDj4hKQ8+CyUVPjbbLD55yBY+P4QTPpL7DT6DGwA+Ewb3PVc3Aj4liRU+WRoePuvuHz7frxI+Bj8QPq+SCz6EuQk+GLETPqHqFj6//R0+gwogPqtnPT4ozzs+pQIkPm2sHD6yMQ4+9P0DPstdBj54NQ0+MOMOPkKjIj5ILiw+9LwzPulkJz4LWiE+KXonPhsKKz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzqloTygyJU8CtJqPADMlTyi/aE8bV+ePEZQnTzulKM8UaRiPBqMWzxv+HM8DVRxPOjPczyg3cU8icekPDdepTxxJME8PAXGPJmwwTzAdZY8AneDPKbLcTxBimk88hFoPFJriTx/5IY8zf+NPGcQqTwIjK48+dKhPKcwjTwqpo4815KQPNEmnDxOD6A85FyhPHqOmjzrkJU8pdiaPBaUkTxy0Yw82nSOPHLGmDwQSJ08glWjPDs2qDz+Hak8cxWjPJlimTwbAJs80JOcPBmooDy7+qI8SjqePH50lTypLps8I2yqPJrUrTzcLqo8Y9iePLNBmDyi2pQ8QNqQPOWajzwSIYQ8xviKPFTFijzdbnQ8zd1RPNfKSzzgxk48KsNSPK+aWjzNbVo8e7ZaPI2oXjzNSm480nhwPMjHbDwWvWc8XCxuPKECcTxSjWw8p714PGAfeDxAWG48scVsPLSJbDzHelw8BvhbPCURcjzBDnY8+gR4PIVDezzMC4g8CVuSPBRVmDwok5s8PUibPJ0vmjzRZZw8c/CTPO7LnTx26p481BGdPJfgxjwchL08S6eYPLm+lzyMOJk8w9CWPJYChzy1pF48K8ZSPPo/Pzz4Yio8y00mPB3eITx7VyI8vKAlPP55NDzdiTQ8bvUxPP4JTDwe6Go8NV55PBtwcjyg2Xg80HiGPPvIijwT7488Nt2VPCTEnjwqYqM8b32mPGPvoDzOSqA8Ol2kPKtTqjwm5Ks8tCygPLofozxuB5s8yWuMPKnViDxbFog80lWJPNVIjzyVW5c8fsyhPMG2pzzeNak8CKGrPJE3qjywOKI8fK+hPPWGojzDJaI8IAOMPPHCYjxlNj88cYt8PDAGnjxiliA8y6/GOyS0+jsSDhM8HQUkPOW6KzxiizI8b99BPE4DRzx0LV08gT1yPOEHczw9b188K4lePE4qUzyldW48fveCPPzDhDxi1+g8eYbdPbl1Iz6hxiY+yfsgPk0zHz7IBjY+zHQrPnN5Lj7lSCc+XCsiPibTFT6zZh8+XgUaPhdLFj7FWiU+QCMsPpVhOj4bByQ+298sPs8DJz7c9h4+kzAfPsDRFj7t2xw+s0onPizcJz582x4+5LAZPux8LD4Umy4+WrQiPmeRKz4h8SI+H2sePvkAKD6epCQ+cf0PPrWxET73MBs+JjwfPsVkLT5ukys+je0XPqBpGT6D5hk+VMgXPkEtED7mfg8+PscRPqwLHD7wuh4+8jEVPkmVDT7V5w8+WFIKPr7UGj7v3iQ+IE1LPpNGKz49ISE+u2UOPvPqBD6g4QU+lwEOPsvLDj5Rfwk+UqD/PdrD6D0SU+M9LOzzPer0/D2aaQ0+u0kAPi0v7D2BrhM+ySsRPgiqDT6/0w0+7K4BPpoAAD4XuhI+WOYSPvcfCT7BtAc+9MEGPuF9BT5qvg8+IDAcPuYdGT729RY+V58iPk4SKD7acjk+lzwsPoduBz59gAo+NgoMPjMaCz4vyhA+POcSPq4NIT73VB4+Ua4WPtKGFD7S1w4+x5AlPn7sOz7FqTw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyzEqTtxBxU8dcdpPEMTeDy9GaE8hwxEPCjqZTyh6NQ7tZryO+eHCzyD90c8ke9HPPzbfDwY1548nmZ+PO1VajwNF4I84B6ZPG3Imzz8QpY8vYOPPLoOjDz574U8iziWPDLVpzwdiaM8vJSrPEI8sTySx7Q8ov2rPBFJrzyZ8aQ8fJ2gPMgJljyZTJ88yMeiPOWsnjzj+aU86DmqPC4GwzyNFLo8rGykPOlKpTxRk5s8iMyWPEswgzxgtHo8YUB6PA1zgzxcDIY8lOqFPN9GgzxjP4E8d6R0PD0jXDym20g88LdDPHj4Qzxh8j88fxBCPKyGVDxrbF48DHJvPFAfdTzMamg8ztBnPAq5eDxMJ308O4mAPEasdDxkTX08DK6DPP+QcTw+pGc8RoxyPI6JfDxe4X88i/l/PHdshTzfyIc8Tg6OPML5lTx8WqI85cyiPN8ppjxBb6g88X6qPDrurjxlmLI86MOtPEefujz6HMQ8esWcPMMncTxgYlk828JNPN+zTzxs/008VVczPMM0Jzx5Eyo874kpPN/eJjydcCE8zTUhPH/TLTyURUI8DDxMPJXETDztJUw8YwBdPBySeDxeYn883siFPMu4iDxTSo884P2VPEEBlDybGJc8z+CcPKu4nzxWZpU8IjKMPMfPjzy54os8ww6KPD5sdzxKpXA8upV6PFvrezyMNHE8e/5rPMeNaDzlOHM8pcKAPLWbhjwCOoY868yEPAX4eTzY2Wo8Bi9ZPGFhlTwpFN88a7LwPMPQDz0610Q9U/OaPV5b5T1B2bM9Yc2JPVdY7jy/NxQ8jREWPNVOMjzmij48DmM/PEk+NTyDQj48Kqk3PAwcOzxlDz08psY2PC0NMTzmSSo8ytQuPNLHMzw4RDU8xg1bPGAF2TxkDpM9mdsAPo6lET5D0xE+04UiPm1/NT5wviY+KpkhPkxkFz4V/xI+uewcPtZJGz5YnBw+2igcPgUBGj4U7R4+cBIbPkMAHj4Woic+hUEkPrSEGT5KGwc+23ETPuSnIT6tESw+XZcrPkj/KD4gLB4+C/I5Pvu4Tz64+FQ+yVlTPvQHRz6xwDk+jRUzPtf6HT6VJRo+uSAbPqcIHj6cfCc+PylCPlBpMD4I9xI+FRwKPiA9Cj6WAxs+qKogPsAeED6FTQs+5loMPvtZCz6/vAY+naoMPsD1Dz6WWxo+wy8jPhhrPT499Rk+GoEUPnJBBz64tvw9az3+PVYQ/D2adv49rwD/PVNf/D2viAQ+g6UIPoUNCz6FNAQ+g54DPi8S+T3zrfk9i/L9Pd+bFz6YbxE+LC4NPhUmDj4Sbho+/2QcPjjVJj67By4+S2kuPsWhFz4oBA4+8Y83PnwFQT4o/Co+fwQePiciGT7DIxc+ocQhPiyTEz6WwQo+fq0JPpK0Dj5vzBE+1vExPjfrQj5nu0w+wUpLPtHFPT7ukzU+9BUWPpqJHj7uszg+/Ec9PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwxtfDuFXYk7/bE/PDI9fTyrk3086yB4POab2zvr8cU7nYElPMs2dTwYRn48CGt9POPInjwmHqI8XzyCPABZjDwKIKI8VRerPNi8ojyxop886SuZPOgMmjzhyJ48VHyZPGEkoDx1KbY8zMiyPJjJmDwtJ448h4KIPNzfhTzl8no8l659PFVthDxb94A8sf9+PNAHfjxxsmo8bOxrPK7gbDwsBlw8bp1LPF5rSDxdXUM80ItCPIkPVzxTQlw8ColTPJ5OUjx6olc8sKxkPFn2bjzls3I8uixzPDjedjyeTm4849hlPIOdeTyZDXM8MsBtPDbpbTwiznA8AbdyPMEzbzxHtH089n6BPLOJhTzG8JE82nyWPJGYpDymBaY8b0ikPLpAojyctp48d0uTPA17gjxdboI8ONuLPOQNdzz7EVw8ILRHPByyLTx/rC48St0uPO45ITzXWyA8qVYsPA5+KjyqjyI8amkkPHJwOzxoN0I8cDlCPBHNQjzwVUQ8VM1TPEIBYjyMIHA8IT2EPHVhjjwxkJA8WcyLPEldjDwY55E8doKUPNRohzz6ooI8ewtoPI3KUDwMEUI8W4ZBPOw+VTyXBFs8ve5pPHZFbDw5bGI8kMpRPLObRjxSxkU86LZcPPXDgjw3FM08ttsrPZKSRT2UdF897XGqPYot2z3gEgk+SJIKPuKZBz4igwk+4mcQPkoSHj5TICk+jg8ZPuF5Ej5+Cek94AOIPSdJ7zzEkJs8KjNJPLKdLjzPvhk8v9gRPKaJFDywGRs8cZEgPA1yHTx6jA889hsUPA+LHTx1/ig8NsEtPEFOQDwJ8kk84zlEPNJujDyctig9KXJPPQt0zz3uvAM+CBsZPnlwNT5MSyM+JoccPq28IT7MYDM+8xYuPj0jKj7uEhU+eXsPPu7/HD6Bsyo+UhEzPgJ6Hz6I0BI+eX0UPp7AGz5zjiQ+HvYgPv2+KD6iUEY+gatPPuZlOj5csVI+H0RIPuziPT71qTY+ViIiPk19KD7kLR0+g08VPqrWHT56USA+YtQUPhYnLz6JTTk+1YsYPi2ZDT7DoQ4+H5oSPh1sGT6dWh8+WqYjPkBKED5LPQk+l7oHPt4TCD6lwRY+D8gbPm8WGT445xM+4YYIPvpwAT6Pqv49ayv5PVcK+D26qv49jOP+PYN6Az6LIwo+dZIHPtSKBz6Rrvs9QT38PUdMCz6WyQw+x7EMPkpEDT7bMQ0+jMIKPldKFj4CgCU+5vssPgXlLj4/VDA+P/87PlOxPD6bqi4+c18pPpvaKT5MFTE+loAvPmSrJD78bBc+jJIOPlqmED5rkQ4+HgIPPqhJCD6tJAY+JcMIPqqBIT4F+Cc+AlIjPncRKj7GXEk+C35VPmq5Rj6WtBU+6wwqPtcNNT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/oNOrO7i52jtGx148l4qSPMpWkTx/dJE8r1iRPM8STTwQSxQ8P1p6PIESgjyclIQ8ZH+JPPh9lTwLEHU8VmJlPLWhbTyafHQ8KyB3PNHOfDziIWw8wjhUPLRuRDwElUQ8IdVCPCQ1QzzNH0w8P7BMPJloVzxWX1g8pYpRPEvCYDxFl2U8ChlhPPlcYDwrrWE8xv5tPEKjeDwQxYE8B5t/PKNifDy7nXk8zgVpPAcDXzw9i2c8fkR0PPEJbDw8CWs8UvpzPNJ4fTwsCoU80BOTPJpOmjy0x5c8WTaTPCjllzz60K48dnWvPLKaqzxvCZA8W8VlPBoTVDxFpUc8hnVDPNeHQzyLDzY86e4rPEvHKjxm6yw8h98rPNnKKjzZzyE84+UfPBqhHTxe8Ro8aBsrPLHDKjzm9Dw8z8U4PAEIOjxjKEg86i1lPD+lazz0unk8+tl0PPmXdTxkyog8P0+MPNI3fzw3YGg8ENBJPHtQQDx8YEQ8aVFFPKVrODyXV0k801RNPG/rPjzOIkc85h5LPFZ4XzxMG3Q8o7NzPOR9bzzHCaE8Ix+6PBoJMz20CY49crzUPd3SAT7Mews++iAOPv93Gz65YRw+2yggPk/dLz4lcCk+24AjPvEaJz76niY+nZMgPrK6CT6q5v49VrjIPe+mHz5WFhU+ObDVPZf6Uz16yhw90BmKPJ85CzyR0wM8nTz6O66LATzl5wM8aaQLPBomGTwXRxw8jskuPBUSRTzDJEg8OINHPJ/kTzwas2A8JT5tPGfbejzbI7I89eXWPHlHQj3EG+s9sWAPPoUHDz6dQyM+xGo9PsApNT6hMCw+DKIjPsRPIT6KmiA+MhIjPoZjMD6TPig+hasoPrrtLT78Lk4+O2M+PuNsIz6aRCE+spMqPnOyKT7CLR4+VvsNPlT6Fz7a2is+zPMiPnaBHz4lxB4+bs8fPlIpGD6eEBw+sBwfPp7HFj5FAwU+ikUVPiu7Iz4ltS8+2R8yPgFVIT7cyiI+9eQaPkPGHT44QBs+x8IaPubEFD7R8UU++YxGPiifLz5usxI+H3sLPsQv+j3gCfc90cH3PawCBz5kjgg+LIAHPiYoAD4kYPM9ZuP1PYJk9D3t+/g9Bj70PbMu9j1NWgE+ZRINPjhPFD7GOBU+JywWPiWpGD62BBU+roUTPoekHD7pnx8+vtwsPrGxMz6LTDM+iQ8kPtt2Fz6r0xU+ft8cPiaFIT7IlhE+QTEHPr8SDT7AHxA+FxETPqEFFz63GBI+aqEKPnJIBT5ryQU+yGwQPiiCIj7buCQ+AH46PmMrRD6csEA+N3YUPoyjGj6M0yA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/9tedO0GUCjy8sio8xDsVPN9YGjzYxz88FwY/PKJSKDxJ0gw8MPglPHIzLzyhzU08P99QPFnjUTzveGA8CtFdPBSzWTx4HUw8/DNXPOIfdjwjXXw8JOaDPKqZhTyCsoY8lb6KPP4xjDwAu4Y8ZpGFPCoKhjwye308RxF+PLb4ijz/6og83N2JPHJUkTzVnos8lL2VPNadpDykl7I8XmizPNBJqjwOMZQ8kjh1PL7rTTwVXWU8jRtjPLRMRTxptDI8vScyPHXDPjzERzw8dxA3PMlsKTytnik86qsnPF4gHDwPZBk8cncSPKjpDjy6VBQ8OBUcPANNIzzHuSY8rZ82PJNqQDztV0M8HMRGPBYVVzxXJFs8ETVkPAt5XjxO9F081rhMPLxbKTwpiSM81lgWPHgFDjzb5xA8wB8VPF4lQDxGyE0810VdPO8lrDxz2kM9KGGKPX8Skj1Kdtc9BekdPsmgIT58oxU+hQcaPpozHD6zXSI+JXUgPsaFIT5UNSc+r60fPs1gHj5JYSI+AZwhPq+MID5VgCA+1tMgPshjIT6cqyM+HE4gPlzOHD5CIhE+Acj7PRxb9j2y3wM+e8UjPvkVKD4M/x0+m0MWPodW6T3AhVU9FznMPOy9EzzT/ec7sfbjO/bv4zsvuwg8yrcWPGsqJjz5ojo82Yw9PKdbPzxIGj08mRA+PEDZVjyO0Vc896lWPIXBYDwtLHg839aHPGsOjDzOD8g8qBcEPVj2tT1Afws+wZkMPo1+Kz6WgVo+NAhUPk2XPD6J5BQ+dj8lPrA7Qj6o/kg+czVLPlaUKj6DOSY+qqQzPnWiNz5u4jQ+ujotPtz1LT4nXiw+GDUoPgxYJT5KAiQ+CGQgPvLNGj5REhw+C34XPjBUEj7c/xI+vncYPp0lEj60uxE+v2okPke6Nz6vBkA+F4skPvlpET6xzyo+Q+YzPmZdMj54+jk+sFRKPkCbNj7D6zQ+jWciPkeoHD5sswA+LqrxPf9/6z0rUes9rkT3PWx5+D16zO09H0nvPfb78D33Ce89f+PXPZ/91D0rlO09IbcJPp/3CT6SnwU+DqYQPsl8DD4gOwg+WvMUPu7uGj7+KRM+LKAQPpv1Hj4CVB4+5fIlPmUNLj6qpyc+3UwlPj9kDj6EahA+kgMJPpW3Az7aGQo+gWoNPuVsLT4KuyE+UikSPlpsDD5Tlw0+Q/4NPtGpDT536CA+x4kiPvcXFD66lwY+ak8FPpRSDj46nB4+bLApPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9vGPjyX1To8lPBAPOjAVjw5kFM8jwhFPLqMWDxuLXU8zte+OxsYGTwciiY8ve5JPIW3SDxQ23c8/oCVPF6FZzwscGc8jHF2PMhPgjyOSnY8LX2DPKufhTw1r4U8hjaFPCtPnDxLSLY8N4rBPFzWujxeP4k84iNTPKlITDxzBEo8kQlJPKd6RjyBWzo8UfM3PNlSRTyrSlg8FNBAPPkVOzxexys8sWUoPHmaITwuex08BBwePMbhHDxQFB08cKMqPOTkLzzC3Cw8Q2cvPK4CLzzaDkM8BcxLPGTNQjw0vj08POdBPHG9YzyuRIM8TjixPBOs1jz0evc8+tUFPWQ0Pj1mGHU9o/mXPY9UoT3bjKk9zm2vPbe4zD2mhAI+lv5HPv/gST5ytSM+V1AkPnBRLj4ZFC8+cbQmPgQHIz46PB8+aSwhPpt2Gz7CnBY+mpITPqO7GD4Onx0+DKwzPjyEJz6qASE+IIcZPoU4Gj4Brxk+54EYPrUjJj45ByM+55oUPr7NGj6Qhx4+40goPsVMJT6w1Sg+YEErPiv8Lz40oiw+W+AbPl0tEz6Ol6s96ASqPFSbEjzdAA88fAgMPMKiCjzt9Bw8AGIuPDheMTzL/zc8eeNCPESjUTxGWWI87qFoPCNQaTyjEms8i05kPA1KejxXE488zjyQPL6WjjyJTJc8Gg/lPNB+Ej0+TjE9jRfFPR6CCz6We3g+4jfPPbifvz0VZhY+za87Pp3iOD7SLyM+8KYaPiRgDz5P8iA+EiwsPo0aLT7DRjA+5y9UPrFVMj6vCyQ+/McmPlM0MT47ohY+3NsWPtuXGz5Tqxg+E78XPhDpFT60IxM+NjcZPo2xGT6dMBg+rBgdPtWzOj7VwjU+13ciPmgbHT6C1Rk+zasWPuxDFD7+KCY+uLAoPiXhJD4ISho++7EUPlJlDD5FRQY+dXAAPu4wAz73uQQ+6AUFPuxyBT5pFQo+J2gHPrimAT49ewE+muYJPisPEj6LsRQ+JTYLPjPyDD6BDg0+kMgFPv0FDj6/DRs+3W0WPjcZDz6m9gw+SpUBPuQ6Dz5/ACM+IJowPvyQKD6OshE+z9UUPjdJGz6XhAk+2wYIPsjCCj6oKiI+ruwnPga8Fz7i1xQ+Z00fPiJnHz7w0xM+NmkqPp8IOD4jbBc+SQYLPus/Cz5bqBQ+vHQ+PuzAXz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/V7as79CzBOyoZJzzzq1s8RlRDPHPmWzwKAWA8+sgePMjRGjyyul88/kJlPEYWTDzOlVE8NccePHG6/jtcyw48kvcnPA56MDwlNTc8sMlBPGlXSzy0xzs8jPM5PIhPMzz87S48/JgePMhjHTx7AyU85mMpPHEcKDwGySU8aU4uPIdJTzyhrD084L1oPNCUNTy8QUI8BaZjPMCXdzx0Cqc84WPzPHEHYD0FtnA9IpaaPQDf5z1rows+PsAOPrXoET4z3x8+51UnPiDfMT59pTs+escwPilqMD7YADY+FiM0PuGYMD6RuUg+h3E1Ppn3MD7WfCQ+4MQbPpqfGz5kTCQ+OwUfPvK4Hj77Gxw+DkcXPrBOGj5Gtxk++rAfPqgEIz51FCI+9fsbPrM2Fj73pRc+fdYYPvkuHT5e0iQ+aPwgPolAIj694yM+FMYkPjyPJj5aySQ+jzslPuDBJT6jDCQ+nr8jPhSUJz7taS4+mvsXPme2wT3Y61s9KF0+PQP0zDykVmk8WtUqPACKHTwP5Rs8UMUiPK2FMjwlYjs8Ahg4POQYIzysSh08E8ccPPKlJjxgjTQ8kAVJPAADfDyr9oM8+4CPPNRGkTz/BZA8AdhrPO3ZdjzLw6Y8BFAcPWdAnTy2fWE8YE/MPF7+Yz2iJIE9No2wPerttD0KvrU9wbsAPpJjKj4X2Ck+MBUiPrb7KT7AKCk+xZwmPsfEKD56azA+iyYvPuNVJT6xViA+oecUPkt0Ez45jxc+vukXPvs3GT7t8BA+/GQJPvR4DD7FHio+lRQxPkBnFz5DExU+NvAUPrNoFj78OiM+Ta8vPsV+MD5MljU+udomPhoRIj7kyRY+A7cUPthEBz6KYg8+HQUgPsEvIj4UVCY+Hb4oPlwQJT4C3R8+3M4fPp6lKT4Lfys+vkwoPpGFGT6UqBE+6x8SPq3gGz5oIiI+Wn4oProvJj7tRho+meIYPmdhIz6ObEI+CTc5Pnn4Hz5Q7Q4+UUIPPhtcHj6eHSA+5+ITPndxIj46sjQ+qS08Pjh8Tz46NFE+RsI7PlCpKj5VDys+cUUwPo/ZLD704yo+OC4PPntREj4Ivxc+yT08Puv3fT71gZE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf75ekDr/k0A7RF/SOweZGTzcAf87ANAQPJlzHTw/h8k7xauuO/8M9TvK9h487GoEPAHCATxZ6BU89agFPIBuIDzOMkg8jY2EPOXi5jxdejM9xhtRPWRetj0BLOA9J6fePUXD9T2lFw4+vHASPlC2FT7Z1jw+tVA+PsMzNz5kby0+gUg1PuGrNz4vTSQ+IYslPpQKKj4jCzI+Sb8zPohsNT4sCjQ+jiE1PtTgMD79qRE+4XhTPvX4RT5JGzw+QgUmPvbBJT7jvCY+2GwcPs+AFj5yfxk+zrwfPjQ5Iz7GESM+YdkePskaKz6tYyg+Rc4dPhGGGz4j/Bs+/c0dPvvsHT4LsB0+hDoePoH1JT4l1yY+fEshPu3qHT4yMB4+u9QhPvmzIj6Jkh8+7K8YPsTtFj7OVBc+JzEePvlpIj7dvCA+xzwUPqxRDz6/6Pw9kIv+PXpLAT5OzPo9+zLOPb+5xT1gq5o98axaPaPOPT3Nur88p+ACPCW2BDyxaCY841xEPIBcVjxXbHQ81CSIPKCBkDwY5pk8uH2ZPPVVijwkNYA8OlJ6POeKcTxb42w8zUgqPLAp1zs1oWM8g4jSPLRfrT1HP7c9BRhUPc3XkT1cL+Y9ZSfsPYeC+z07jw0+VlghPkHHJz6lsDI+Ic81PtW3MT7t7SI+GK0gPnddDT7NFBg+AS4dPmXmIj55hBQ+xEEUPv+jNj6NYz4+enM7PpQNJD7DVxs+5uAdPpxRKD7lESk+9hYpPs5yMD4yRSg+NTMfPi8jIT6bmSE+DlQoPrvzMT4EdCA+wgQqPnMNNT4/CjQ+p5gsPvlcLT6kRUI+FBFAPk/hMT4Hei8+/oUrPqxaMD7k0iw+AywoPt1MJz7i9Sk+09QqPnXJMj6pODk+fK0tPhcSKz4M/i0+aUo/Pl5sND5ZOSU+2RwyPgnYMz4ZKDU+coAyPpTLJz7J4ko+u98+PumgPT5z1UA+6aQ1Pm+RJT6hXSU+78AyPjYRNT77+Sc+M5AsPgbfLT49YjA+OBo0PvTAQD582jc+y9EtPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwLYSTtidck7rRFKPJjb0TxjaiE9PDWSPY/ggz1aWaw9vBziPUNn6j1H1+o9HoUGPq6gKz7cx0E+G3UfPnwLJD6wxy8+M6IpPnR8ND67v0Y+8CsxPmp9Lj7YXio+vgMuPvW8OD4kITs+eu0hPmUiHT4dOBw+djQePuPpYz5wgk8+tksyPmoeLz4heSg+t/cpPqK6Ij6qahA+q7gYPk2VGj6oUSE+qccdPgl6Hz6HCSs+A5spPs/iJj57CCs+FD8rPtoeLz6j6S4+GlArPuX7IT6/9xw+ivwOPniYCT6uyBI+32oXPr39HD7o5hY+1JkWPnzmJD668xc+DNEWPusJFD62bhQ+M+cVPqLuGz6gZxo+pccXPn16ID4WuSo+vxARPsR3BT4VxAg+3ZMPPjU+Bj5clQ0+SAUYPlpEsD1X54494Iu/PMF7Xjz0R2M86keFPPJthTweS4E8fRB3PN+1djzfoGk8Imd5PFvpcDwEGHA8m55qPAVPMjzEqc47ugGEPMM3sj1rZwI+Q/QqPmW9ET4nid09affgPX6C2j1Dxs491Pr8PZcIAj652RE+HIIfPoosHj6W4Rc+JIgePnpuFT7HyBQ+OQIqPpn7KD5zESQ+r+4dPmXvJj7+ECQ+uH0vPsO8LD5fgyE+PFAiPql3LD5t5jw+ppNGPkgxSj6JB00+VwY5PmqsKz4Ftzg+om07PopXPT4f6jg+8kwyPodeNj7Npi4+6lIvPvyGOD44bDk+i9ssPnDYJj7oTio+VG4xPvlmRz5Sr0U+GU88Pr98Lj70vjU+q9U0PswOMj4zajU+WRs5PvXTLz66EjU+NKI0Ph5fND4VBC0+9k4nPi1+MD7URzE+9zIyPmtONj4RjCw+YuwqPrV+Hz7BFiA++IgqPjNcJz6v8R8+FPMnPpxsJj6W9SU+NlYgPsqfIT6qLC8+aUMrPkb/Oj4KCDs+J0swPkafIz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6Vwhj0CHKM9oQr6PWLN7j2VbwY+lUksPsu8Oz5pjS0+YBYVPgHfKD52+S8+VR0rPh6LFT5GgNs9oOPGPUOAHz5TNls+CUExPvWVHj7rFRw+1IgWPqAdDD5i3QU+HVYIPmmFFz55Whg+JeEaPjbIGD63wRw+IXcfPrLWKT56DSU+axobPmQkFz6XcBs+dUofPkIqID5vaSE+YZAbPlcMGT5qKiA+WEEmPt7hHz64UhE+0qsSPt+3HT6xRyM+lNYPPvIzFD4jFxw+OuwUPoYNEz5k2hI+ZR4PPnbvDD6Y2BE+12oYPieqFT5XRhE+6BwQPpf0Ez7M4A8+xtMIPjOaGz4YTCQ+TeoePn5tBz7OMus9JoW1PWnMfj2GoDY9dUR+PFDFaTxhDmE82Wh1PFtGiTwGuX885OV3PBVUXzzrwj08AxluPPwtnj32ERw+plQhPoLjLT6T/yg+5LEhPsOVJj6L6iM+daAPPmCaAT6e7AE+3iAWPoVPAD5EnAM+GhYMPvngBj6YBBU+rBcePgv7GT68Yh0+aRMrPp0dIj5HcR4+lUclPjKEHz4zxxw+TtcePqBlIT7uhyQ+XP06Pq62RD4YaUY+iHtJPmI0RT40jyo+ptk1Pr71Rz52kEw+Ryc5PuDEMz7DTCQ+UfI3PiY3Oz4iLT4+7gg4PlBBND4T5i4+I2ssPkqZLj7VVDM+HIMxPrHSLT5CQCk+CBw0PvHnLj6gfCM+WFUxPgYDND4tsS0+ogoyPoENND5vqzc+fUYyPuprLj7NzS4+8GosPokpMD6DOTY+bXcqPsg0Mz4g4Cc+n/AhPoY+Fj4VgS4+mFo+Pmx5Kj7Jxj0+CPNCPo1JRD6eSzg+ag8zPvc7Kz7WdjQ+a+86PokZQj4GZTA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4tSIz22Xq89JsrvPcjpoj258a09e0e8PX+0lj09RaA9byX6PUhS8j3i59A9GJXaPayH/z2TzhU+E0AcPmPnHT72Mic+Q8kjPjLHGj69pBc+600VPrXzGj7sVho+1iAVPoVZHj41hC0+ZFonPkhxKz7LVSU+gscRPqUuDD51jxM+A3UWPpx9Ez4LJRM+HX0RPitvET6w1B4+4ywgPkeGED4QCA4+pAYLPtzfDj6wYgw+iHwEPsjBIj5Feyg+z0MgPlrWFj7bMhI+ZnEVPkYzHz6zvRI+gomzPVGWOj0CCbw8UFVmPNFLaDx73Lo8I5yaPYZKIz7k3jk+G+AqPvdrJj6RChw+7SQjPq4/JT7nUCE+B44jPpM2JD77FyA+uMUVPnQlLD5VxAk+FQzhPSor9j1ciQ8+CiEjPt8uHj7N/hA+7ugXPvTaGT7uXiQ+FHMrPq2QKz44JyM+A2IiPi7SJD4klyw+b+UrPplNNT6jRTw+PoE4Ps4ZOT7FJj0+fzYkPvTIJz7vYys+oocqPjHcJD6gpyM+kso4PsAARD6NnTI+ZL4rPlNPIz7+uDs+YlBAPvrnOD6xyTY+a4U1PtsvPT7ZGkM+54c6PnncLz4XSy0+NwopPr89LT45KB8+OkwuPuWfLz7Owy4+6T0xPmc0PD5td04+w79MPhtEOz6szTo+1nM8PigaMT6MRyk+Au0xPtRpMz7K5zM+irI5Pv/UOT6hKzk+hA1bPiZmVz6VUTo+ZXstPsSjIj5swTQ+lvFXPqatUT4BOjM+sFYpPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+V0Cs8esctPUdn0T2pYLc9yO2JPc8YoT11neM9tsBHParksj35wgA+fDkRPq8NBD4IV/E9IucWPi302D0AeNI959zgPYBL8z2ArwA+g//+PdcxFj4G7BU+T28YPuqXGj7q/Rk+EMkUPgVdHj7UFys+10smPuSmID6H7BI+3w4RPv6jJD60+CM+H5klPqMmGT5DTQk+hq4MPtvKGj4mZxs+FsAaPsffHD6nEx4+9tMePpsFHT5vvxg+nFsWPmClET7mxhI+SFAHPsfAij2WzSY9ehacPWL8CT59aDU+CBlBPoADIj6n1SY+M+UpPmTtIz4Exx8+iesbPi+3NT6ywTQ+Be0zPsNeLj4e0iw+KtgZPk3ZCz4mjh4+7eFCPuxvQT75BS8+k1cSPmUJEz67Rhc+CoEnPh7FIj6D+xM+B6MEPuGM7j0+GPQ95a4HPvUcHT5OCjU+vJ4sPjjrLD46kC8+F4UqPoolLD5oQCE+BZEVPgFTKz5m5yM+TokbPo3fJz4Nqi4+7sspPncrJT7+yiY+ga88PiruOD5p1zU+So81PmpVJz4nNRE+/hExPnM4Sz5E3T0+oJZAPubIQD6aKDg+idIwPr1nOT6kuTY+hL8wPmPsJD6CDDk+XcFFPsDjQz7SvTM+JWgqPqEOHz4qPi4+/QMwPtrvKj7Ziik+lSYtPh+9UT7qBlc++e8zPmuSQz7DMzo+k7w2PrXqLT4xOSw+H984Pv8nPz5w5DQ+9SUpPvmrJz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+35FQ9iF6UPXQNoD2Mw749b5zJPfla0z3j0/09eTilPb26sT0gAcs9tVvkPVjA4T1iBhM+k7oTPmJLBD7G7fs95YzwPch63j1nTA4+4IYRPnAtDD7dBA8+T10KPrHTGT596iI+HGAiPkdVHz5SNBg+5/YOPhKRGD7vSBo+fCEiPm6CIz4bPyc+xOYvPiJTKT4xjfY91TixPXGXvD25js89+9HdPfQFDT7E2hY+BWYSPgnMGT6Lghk+NioZPtqiFz7rhSU+MgQoPvcMKT49FCQ+Lr0gPjFDHz40ajM+1p04PrLhPT6xsD0+DJ81Pn80Jj4hHyE+iqQePsLTIT6fKCs+4CIjPv5QIj5hah0+fK0PPhxL5j2lOOU9Lh0RPvcwJz4gqh0+PDsoPtfSSz7LE00+0yIyPkqGJj4FMCs+6pMtPinuHD680iU+rOVBPtWwWj5DilY+yCxGPiXcOz7SQzQ+JZwyPjbwMT7Z2SQ+TBEPPhK3HD4XhCc+Q2UbPlbEHD6+SyE+k1gmPkiZHT6sehU+YFQCPrOXET7KVxc+dKAuPq9cLz6/0yw+ZuY1PhaTMD54Syg+SCQuPvTZMD6CSjU+LYcvPuu7Lz6CWT0+zfBAPjL2KT7bXDI+XqtHPjkyRT5FMjo+Ma8yPs3VMD6g3DU+giEwPhn0MD6Lki8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9xroE9fUumPRt2vD3qGY09JsXkPQBtBj5RyNo91KHlPW4v4T2FWhE+h8ImPnUYJz4O3yM+OQHcPQms4D1Us/I9q//qPY20Lz6BkTs+4f0qPo/XGD4jGxw+VZATPnicFj5vTBA++8ASPrafHj5omAs+2MIVPg9ALD4EFjQ+p2AtPi5bIz5vbDY+JwUqPg89ID7hwxo+j48OPtcgAT5J7RE+97I1PtqwOz6qeTE+z2E8PjoNMz4BpyM+EUg9PrOvLz6lPBs+PEolPjEMKT4VTic+ZS4ePg6b2z3FeyM9nMm4PaiXFz433y8+R2s4Pu/EOT4AUEI+/nxAPnR1Lz5Bbio+wTYiPkjrIz4viCk+HtMtPqO7Mz4jnS4+ddsrPk5gMj4RxUA+cB4/Prj6Mj6/eiY+ABEkPhzWJz5BTCs+0aM0PjssLz4zWiI+OcsdPmXIGT7vaxc+4UYdPt9MFT5zu/k9v0r9PWw2DD4kMxA+Z3INPrd7MD5QQEI+7d86PtkBKD6SaiE+qmcvPjZ0Kz5E3jE+9nQ+PhR5TD5g0jk+NOItPum2Nz6ucj0+vMJDPvSbKj6YpAY+o68SPovvGj7HxBY+54QNPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6T3qzyGzDg9QBW6PXX74z0F2f89eFf6PdNBHT4/qLg9cn/FPR1mFD5rHTs+SRkfPk6a+D0pPAU+Ai/4PbUu/z24URk+j7ggPsT7GD66/hQ+RH0nPsp2LD53Iic+excfPpPPJj4uAyw+Pps4PjkWTz4gsCo+KmUZPsBBLD7wkDI+hK4iPqSjHD5zBtw9RFoQPTHTST1xf+o9xHBBPuZNSD5zBD8+joQ5PgOWPD7joj4+j5IzPjmLKz6xdzU+vOE7Pkz2MD6sAik+wowqPlnELD4UCDA+Kr0yPjDBLD5RZCU+k1stPrjIRD7blEM+yjomPgl1Hz5JTjE+hcg0PitSMT4sRiw+1ZQjPs7fJD4fXiQ+DXcmPmx6ID4Wmxw+aJUhPpgcCD7rPBY+BHIxPprrMD4j2S4+aYAqPgt0JT7OkDM+t2g8PtUQQD737Ds+JNMtPhE0Gz4K4RE+QrAVPhS8HD5v2hc+HVopPhQuLj4kDB4+MB0cPtMXGT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf16S5Txnj4U9ZZipPbxDxz0ZAsY9Y8vZPTbADz5bUcg9UqjUPcCPyT0/ddU9Cbv6PTw4Kj5SCyc+cYclPv00KT6pNR0+r34XPgWyIz64yhc+FdAIPqJ4ET5B3hM+9QYHPo+OKT56kic+Uk0qPgieMj6VdjQ+0yk1PgczUD4iYkk+LkE8PjGjLD42IyY+aa8mPsDHLT7BsDc+Jrc4PqoONz79cS4+snUyPtaVMj7zUjs+PU86PpvGKj7ouzQ+XqVCPqNHQz4LWD8+N/k7Pn6NOT4dziQ+JqoaPuk3Kj6T4yg+zhgnPm/mMj4cCTA+9hg0Ps6cRz4H60k+9URNPsKQRj7Ra0g+qsJKPjSWSD5bjEI+RA8zPuWQKT5P3EI+MA5APiT3JD5JwCU+o78nPmBrKz6FqTY+T7EsPv8xKD4O1CQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+GplM92gZvPVXyoT1nN5k927egPeTVuz3eSds9J8D4PX1TCj77Wxc+b0wwPh73WT7mNCE+pJ8dPh1sHz5KIx8+6twmPhsjET72ShU+dWIuPqfrNj6uekI+pgA1Pti3JD6gqzw+5l9RPgiTSj4QYzg+qfckPuqjLT7elyM+MscmPvxdLT5YMDI+BwUyPt54Lj7JeS8+TYM2Pmf1Mj637Cw+S8QaPkFyMz5MTzU+OiMtPu3cKj5vQSo+KOszPtkzHD6R3xU+p+AoPlmiMD6ISzg+QlA9PvvTKz5bZzE+LJcwPoMpMz6RHzA+S+ssPmRSNj5NiTA+xLc0PkJ0Nj728C0+hs1KPhcXRz6BuS8+y1UvPv7WJj6fmi8+oectPgOnOD4mPT8+Jj0/PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/C1NaPQCZlT0wVgc+5iQZPiKwSj5exGs+Yr4yPrFCLT7uBik+/8wePiNLGj787CI+fhw1PjPyOT4uCik+l6IxPusKKz7BwiI+FIsnPkyaOD42sTU+XHMnPj11LT49LS0+rwofPqoXND7RVi4+ziEpPt6vMD512ys+B3svPoUkPD60Mj0+J9I0PggIIz711yI+vM8wPoUWND56gCw+lE0mPv9EJz5OliU+rzgYPortDz79Ex8+0hE9Poi+Oj6HYzI+0EYoPsBjGz5MZB8+DWI1PsStNz6pazg++I87PoEAPD5FiDg+I7wuPpQrLD5b3DE+hRwwPo21Oj7UVEQ+RtE4PqA9Kj5GyyA+ykgxPspIMT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3+/gT3wZ6c9GwAZPt5VMj7SGk8+qB12Pv+Naj4xXTc+EcwjPghlKT5hxhg+kHIiPqVcPD6WLjg+L54aPjMIHj4SezY+f3EzPmw8LD6tAjc+bk03Png5Lz5SmSk+5XwkPv/yIz4w4Cs+mjYoPiYMIz6FCDg+uPw4PkhHKT4Dei8+lzAvPk2WKz6Y1h8+8XYPPnzKKT4PqD4+JRBEPvaySD466jo++PooPkUfND6r4ys+QxEpPh9WLj7cLDw+cNsyPhEQIj59gyE+IWYePmw+ID7jCyY+r9AxPlYgPD50ozk+YV40PkJ4Jj5+FBc+rfItPmRMPT6ZtDs+wldCPjfZLT4dfSA+pm8lPjCfKz4wnys+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH86NlI9xpCNPR28Dz5MiTA+N5o9PuqPPD6taWI++hNePmHMSz4lSU4+O+k4PmB0Cj4s8Q0+CHkUPhe6JT4WrBQ+uLoePsZ+Ij71Dw0+5G0SPkk7Gj711x4+toQXPgbhFT4c6yI+LRknPn+hKT6MnCs+D9MkPtzvHT7QPBE+250cPlG+KT7iTSQ+xMwjPsU5QT70F0g+PYk9Pl/HPj48/Do+xM0sPstiMj69IkE+KntHPp8SPD4jLzg+EZtFPtdOIj6cOiQ+rYgnPvWzJD7mKSQ+KzwnPgK0KD6bHDU+G8A8PnY3Sj61wSk+1c0iPq+3ND4qV0M+qFE1PhZzKT4P4hk+xTsuPvnzOz5aaEA+JZFWPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/vnYyPeTPiT041xU+EAowPkCaMj5y/Ck+bMA7Pqcmaz7HLVY+liBBPsbKWj7VNCA+r4YVPpsIHT6dOxU+ZZoLPjc3JD5RAxk+PZ8GPiyiAz7p3QQ+Hdf5PViN+D2MagA+1k8MPj/nGj7sOiY+ORwtPhzdKz52SCo+qyAZPuqmEz6uKDA+8b80PhM4Pz6a4mI+G1JFPqwDMz57uC4+dz0sPmp5KD7xkyU+JcMbPnNXJD4BXTI+vN5HPucBRD4PZik+KA4oPuPgKz6T5jA+LngwPujqOz5sJTI+uKEpPk6TJz5zEys+lfcmPiTDNT7Z6jQ+OlYrPjFBIT73yhk+pwAhPpFlJj4ev9s9+7SoPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/eEho+Ud4hPlSHLj6h9zY+Ewc0PsCFHj4FWnU+K4NnPsyPNj4jCyw+04sxPmXrSj55k4A+3MQxPtcVGj5ANDU+xL0wPo/IDj4+xhE+DTsWPoMLEj7gUxk+TQ8GPlBYAT6BVhY+TjclPvUHJD4ifzE+cBIoPviYIT7UuCA+dvonPim9Uj698Xg+VD5fPooXMD5W8B4+kB0WPpg1IT5y9S8+CeIuPuiEKj5t0iI+C4kfPmx8KD7XPTA+ezg1PmyvMz6szTI+JtwtPmtoJD5/Bik+gYw+PmejPD4gXzQ+NDpLPliXRz5SlDU+eHQsPqeDKz5xeyo+jYAgPoe2Hj4+vSY+FOc6PkN4OT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/8qzzPc9jAz5wVhY+1ZwaPmkCLD4o4CA+VtlKPiklRD6PATU+LXEzPrfeMD7hrFo+2zyaPl+CWz4AlxU+waoNPlrsET7CWho+U2MIPgiz+j0zEvM9b7wKPnF6Dz4jIRw+bnw7Pg1VPT7tRjk+7gYwPitqHD590hU+JGcJPvzBOD5SL2s+NmJuPk8RWD59ezE+7rkaPsiTCT70SwA+wVsJPnM7ET6D/hM+cnEbPiu6Gz6xIhE+vDIMPsd4FT5q7Bo+re8mPn+4Kz4n/S4+nEw9PkseOT7jdyw+gmc3PoPjNj76HTE+xE0sPsvDOz64MCw+FLgpPjPYKD4SqyI++kszPoz9Nz7J5Ck+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3z9zj1n6+g98JMIPpT/CT6xdiY+Eec4PraFWD7syTg+ohEoPtpoKj6yXCY+CVosPlrSbT4GyG4+dwUhPmY9Cj59Qgg+U44JPuxsCT5lLwU+rML+PYQv8j1mz+M9xcIVPq/jHD5tsgY+JQ0FPnwH/j3jrOI99QzVPS8yLD7hhDo+7/4qPll0Oz4lM1k+ANRZPqvsWz5O5UQ+WY01PnPLID7VcB4+EkYJPrWkCT78aA0+misKPiVBDz4uWhE+1lUWPvaAGj58pRo+kfInPv72MT7UuVE+n3Y7PtgqQT7Dg0U+D60rPtNSLD46+TQ+wkY6PkBrND6j3is+P0ktPvlsOj4cLig+IEkVPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9Jp+U9WGoAPsDOED7zJQw+3WALPl/bIT7aiS0+Ca1HPqdhRj7uNSU+aG8lPoRxPz4MgHI+Zv+EPr7ENj7gSBQ+C9kkPqpfFj4qAvA9DrbiPdDA3T0JsNg9W3j4PWnoHD69nhM+MvwGPiRtAz4DQOo9Fx3ZPd1eHj4V01g+XSA3Pp5eGj7AGRA+puVnPhnbgj4vy2g+8+1dPg7VVz5rMy4+m68ZPtZJFD5+LBM+7IgZPiOSGz4nEyY+jqElPkM1Kj5m3Co+3CAmPv5gKj4YsiU+qakjPuv9Kj6Xaiw+qQ4sPu1lJj7ZBRU+GFcGPtJOJz4zcUk+fnZMPlOURj668TU+ZTwUPvlQGT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/17jIPaGv7T3kFw8+InMGPjd4Az4wFQo+8qEZPn1cMj7eAz0+tkM4Pu8NPz7dxFE+j9RlPtCokj5f3V0+h00tPi/OJz7vfSU+0CUbPqf3HT6Dgyg+fx8sPvHCDD6R5gs+BvELPleJET5LUAk+BVgDPrxjDT58tlY+Rb95Ph12Lz6Iixg+h7YcPpBsPz5dC10+2bVYPvhrPj5F4DU+nVM7Pp2IMz4eBSw+5TQRPot0GT5oVh8+W70iPquZKz7fai0+1hIxPtODIz4o0Bc+lH4KPpi7Hz4GXi8+MEQ+PrbcSD5QlkM+tTojPsjsLD5XZEY+blFBPjIaMj61Gks+sSU6PmZ0Uj4W43w+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfybIpD3e79Q93UUWPpDvFj5MCBQ+RmwZPl2lIT7rUB8+XXwtPl9wOD5IwTo+io1ZPquBbT6jO20+ZBlDPob9JT5I7xU+yvkbPgCzGD6G/B0+KYAhPgVfJD58lAs+PGoVPkeWED7EgCg+zykvPtZYJz7dgxg+kNsTPryqHT6ltgo+Cy8dPuVwIj4MkD4++GJhPqQsQj7WizY+yII0Ph3aMz6JxTY+PO42PjqBFT6+tBE+FC8XPls6GD5z5w8+YV4YPrr7Ez5gsRA+0KEUPi0DMj7Jsjo+JLREPvniRj7X6E8+az9CPh1HOj7ykUA+2F5qPqI1mD5W7GE+4o1IPjOOTD5nhXY+eR6CPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf00q2z3Eeuw9Gq4KPmppLT4O90M+tB1GPhlEMD6KLTY+LG4rPh+NJT7VgCg+hLkrPhmaPD6Epig+jQpNPl0Ydj5qUS4+7vMaPo8hHj4qbRM+YBoYPoNBJT6hpzc+CcM3PvUKMj7LKhg+0eL4PZfO6z1IEOs9tSGuPU14tT1+XwY+UNIgPv3JMj7avDc+ldlNPqvWUD6t5Dw+dBY4PrO/Mz7UCzA+9b9CPimtMz56yhE+aykJPoWbDD6FCg8+qEsPPjaVHT7AbCc+LYU1PsM3PD5Waz4+UdEgPrOlGj710ko+bsh5PgILgD4exoo+kJVqPjSOkD5rxZk+vm1jPr/ISj6homE+O7NLPmESTz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfw2WFD3T8z49MAgIPlA5Lz7vJTc+zdVqPop6Yz6TJDI+fKgzPt6YIj7ouhs+BJ4WPnFIFD4AvyU+sdwvPuXmgz5iBFs+0YARPvVUDj6tKhQ+dXgSPlOPFj4Uhiw+oGFaPs69ZD6E/Vw+dF03PkbvIz7yIAk+PeD9PZw65j1OUf49+iEcPiJbFT4onR0+1rUfPrybLz7vPFk+gf5UPl9ANT7B5T4+AqVFPiz5OD5VLQ8+cH8HPss1GD6ewBw+6T4bPixZDz64MSc+kYQxPg1RLT4ATio+Ue0iPgYnRj4BXEA+yhZYPiCibT6WPW4+aBB0Pjnmmj6BGaM+3+VePv7XUD4DcFc+h5KGPrLvhD77riw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7rhIT76G/Q9akbxPd9bGj7ae0k+41NqPrQiXT7kITU+IVovPuimLT6cDjA+14gsPgphHT630xc+LMQZPoRCMT5nO4o++TlmPtYgGz4/IRY+PRMQPjZwGz5O8xw+g+AtPvXGVj6UUVo+iZYUPv895D3UfQo+YzX2PRfz2T1hids9WNX5PfSpGD5SXh8+fmIiPmOpLT5D9yw+QG0PPhTDLD6+ynM+It+DPt2Hgz5aMxQ+GZkBPq1wAj6Bows+MF4WPsaKGD6IQxc+X3cnPvvPLz69Lzc+cf81PgdTNT56XEc+BM9GPsblPj6tXSk+024pPmM0Lz4F5E0+eUJVPgEWTz5+7Es+EU5KPrAKST6o1D4+81E/PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+Fqsk83QK5PbsZ1T3R6fk9evwkPgZebz7Y1HQ+BqspPg7cHD5yiBM+OWwYPgLWEz75tg8+Fb4aPob/Gz7Hah8+ElJ5PrV/kD4pITE+4DokPgziID7q5C8+q6smPpB+Kj4fgx0+ZoMWPt4+9T2vVeg9mYEYPvHVJT7y/hM+vfASPod9Gj6KLCQ+wqQoPqppKz7CDzY+z0k2Pm5MLj5xHkY+cs5PPmPdKz6VsBk+Gx8GPmgNAD7fE+890VgCPiCFFj4raRo+uNUNPmcmIT7oazo+NVk1Pi3oVj68/GU+MN5jPg4pbD5CzWQ+dOAuPo/hIT6ZYSM+nRRDPmGVRD5ogUk+gvg+Psh7PD5GZTY+NkMuPvT2Mj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/CjaRPduNnT3dnKY9N4+dPX/y/j0VqC8+P9AnPhT/Fj699UU+YUU/PhUTGD4syBM+Y+QTPtfVGj6siBk+tMcYPvvMMD5nIDM+uO8qPr+/bj7DIZ4+TiREPoqFGz5mHyE+xJ83PoqNJz608Rc+8z0OPofL5D3o1849XefpPXY1Gz5tzCo+2J4ePqNNGz47YB4+BlkgPjKHLz5ryDA+3ZxCPr1WRz6sPUE+P0wUPk3x/z0R0Qc+dpoPPpb7Dz5Iqwo+4UoJPqPyFT54lRQ+UZ4XPgSvEj4IPxw+opoyPhQgSz5pZFw+UelgPlCSUT6ggUg+DEg/PjXiJz598hI+NsQSPiS8TT7PWjg+Wu8qPmDYFD4n6So+9iw0Pmv8Oz5hfyo+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyCNzz2P0+U9VDc0PugIVT6vbiU+1dwvPu1jJD6ID/s9wHACPlLa+T1cJQ8+XTAVPk+ZFz5Z+Rk+VwQYPrMiDj6OgzY+tyBBPhlrTD6LYkU+/gVkPs2KQj5h+x4+pnAbPtAiFz7j4hU+KpcPPio3DD69H+o9RdngPa4wzD0IVNY9OB0VPtJGMj5YtB0+/RwePnxKLj5o0UA+Q14wPn9UHz4sEBw+RycPPmxcBj4LCwg+k7oOPhWRFj42ORk+1eIjPrzwJj6CgSQ+RtYfPumFHT6j9Bo+9WofPlT0bj7jpH4+4RlTPiwfRj6HMD8+yslkPqQ1KT6EWRA+vHUmPj1AJz4QUC8+A7hCPspHSj7xNh4+W5EJPqbDDj5tyy4+bhQuPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3gf4j31KgA+R4AcPivZID4a8hs+Lf4SPlS5Bz60Qwg+B1YLPkynET5vnhQ+98n5PUThAj4FQQ0+H9YdPgRbED480A4+aa0BPkV2ED5WqRU+rUNOPqo84j6n3ag+iSEqPrH5GT779RE+BLkGPqef4z3KXNc9bjrlPcib+D1GKhY+NeDyPQU59z0Gnys+EZwYPpA2GT776x4+YkYePsWMID7OlCA+rDgbPuWOGT4qSxI+AEETPv4bFT5JRRU+rOwWPm5zLT6aJzY+jw8wPjqKMz4BPy0+uXo1PhQraz5WaYk+XPeMPi/1VD6Kyig+DOImPpKKKT5VQBg+w9cWPuRvKj6EzTg+YIo9PpSmUT7WpSc+BT4TPrOrLT5kIDI+ic8iPsq8Iz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9aGxI9WhsSPfudHj1UcTA9jhs+PeOJWz333mA9h2l2PdGskz1UOKQ9ONesPSiTqj37yps9kRyUPRsYoD0i8NM9T27XPXci6D1xcPU9qOz7PXoxkT4dRAA/yQBsPnW9BT5zVgM+FmHzPdXs0T15++I9W4wEPoebBj6AUQQ+6S8EPt+//D2fCAo+LYomPj6cHT6KvyA+CME1PkZgPD6DejE+Mv4pPmISJT5XOSM+1cYZPmWrFT7FMBI+zI8YPgQAOD7LLDw+ZTg4PiUeMT5LejY+nI5BPnMqXj6RWaM+O7yDPsz+gD4H61I+N3F8Prn8gz5gO3w+KxUiPnOtAz7k0hs+PmVOPj77UD4yw0w+aMczPolbED7hahY+/7BSPgkKUz469E0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/xFsQPMRbEDwl7ZQ7gK5KO6UNkjsOeu87Rg0MPDGePjzJvGQ8l6aRPDQunTwyjbw8XNzAPNxAsTyVwdk8vcQWPeWcHD3uiV49XyySPe0ylz2mA5w9/9R4PVY5PT3rtoA92AiMPUhiiz13YKg9h5rMPY7nzz3WTNg9qULiPY0W5z0WG/w9kfgJPuvnDj4xuhk+4VIZPirJEz4sCBg+fY8kPnP3Kz4EZBc+VSEUPpflCj7jLgY+An4DPsBACz6A4iA+3TIoPujkKD6O/jc+MplJPkQ0UD52q3k+gBKBPoqlQz6NnzQ+BP89Puqjbz5lAoU+nDqdPlh7Qj4epgk+VBsJPs3OCz7jfA8+dJ0ZPupGDj6w6QU+X2UaPu6DXD7CXGI+cM1qPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/VCWjxq7Fo8DxGWPJzZMzx/oDE8jVdoPGDCoTwOmYI8eP47PPVISjwbO1Q8UhmePA9P0DwWeN48de7MPGFDAD3upUI939hcPcgZdj1RSIw9zJivPZdNxj0kfss9htfhPQO64z3CG+49h2LZPRSU1D175sc9wLzNPbg/2D07at09W8gWPqF4HT7wsyI+ssAkPoXzPz7aH1M++iNuPgG+Xz6nWz8+LPIrPp3XIj7TMRo+WPQ6PrkMXz5RvWs+m1oaPtTHBz7gpgE+BOkAPns8/j3uEAE+aoYPPmO1Jz4PEDE+e8wwPrgtLz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/HdQDq11DQ6tLqZOntlSDsJbWs75qqSO2BD9Tu9Ya07G7m5O/AsDzyXuXk8wxuPPCxtezxxaIU8snyZPI/3rjy8d8o8MfrvPEy+bD3QyHw9RGKSPU4Zmj0kjcc9L4fgPVawCD7S2Ak+OfYEPkqO3z12NLk9ru4EPr2tdD61PoI+SXNXPtMOCj5eogE+ziACPjyFAD7vWwE+CHYLPkBRGD7fYSg+4swqPidMLD6rBjE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+aYwE6UX4TOppTIjpJIYM6XIM3O1CNYTsAgiA7HvBUO8weeTvkNLo7eF8KPFjibzxn5qA8yOquPD680TwFDts8AE3mPKyBET2CG0Y9G7ZCPeUZSj2A53I97jV7PYsohD0yjYo95rmMPYX9mD2XTag9b0jsPd9mDD4PlDw+gxpZPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/SLiPOgirjDr0dYQ6Lk1POoK2xjobbMI7rY/jOw7O8jsclh880clLPJRQhDpt9Po6o+XBO8Rawzu8wNI7jegyPBYQYzxzEDk8iQRMPG1aZzznCKc8EYyVPPpXsDwZwxo9qTdHPak3Rz0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1lhuDnwt7c5pjwbPJ0wVDydMFQ8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAw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MB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6++fT3FgT09T1Y/PZ0QTz3d0UI9m206PfoANz23Vzo9nahAPY6GPj2qBTc9aaQ7Pe9YSD3liUI920E8PY5nMj0kizw9RntFPVNMWz3rwV49RGNNPUMhOz1JbkM9g11LPV3xXj1jUFU91hFDPSJIPz37Ykk9e9NIPTSgTD0851E90c9MPcV1Kz0/Wik9U849PfjiQz04GTg9lB1YPecZUz1nTT89uqJCPTW0OT05LTM9T/IrPaKdJj0fwCo9lAMtPSwyNj2mLE09Qb1JPbW5Mz29pCw98Bo+Pe4tUz0rsE89oCZFPZ38Rz3+gGc9RwBvPUeIVD1AU0U9RQkwPSgKMz22MUU9ooRUPZbeRT0X1zg91O1FPadIST3jAU09kCVBPdX7Nz1+b1Q9gLpWPQaNTD0KJ0Y9Ho5EPYMdRD3u6Uk9krRMPTIFQz0qVTU9hzcePQ0DKj1b6yk9siwzPSYTRj0Tbz09Mfo8PQrWSD35qUw9zlFVPXNuQT1nQEE9YgNEPaUgUj3FoVM9bsJRPaYGVj1PxUU9ndA5PV1DNz1fQCw9BLEhPeVuHz2sUSk9UvUoPRhBLj397Eg9u3RVPXg3PD2UeEE94gVcPRYcbz1V0ls9QMJCPQNrNj2sWTc9CTs2PR2RIj2cvSk9e+czPXJTJT2IVis9DjhDPUvTSj0hJGA9/eJ0PSxzWT3PJVI9fglYPeXXPD11eUA9cXBdPcATaT3ze189m1FRPS2cRj3770Y95+lVPQgqUT28GWA9EQ9aPXMCVT2L/mU9aQFyPSIjWD2IJEQ9mFRGPZjDUz12AUg9IYA7PQPDTT3Ng0U9KJ5VPRJ9Vj3ebmA94a5jPTLjaD3TK3g9rt18PTJKgz0IzIM9hP93PRxRYD2DQ1g9CIZZPSFSWj0ysXA9uz5mPTfZbT3kt2Y9C3NaPc+WfT27i2497SBqPVp2ez3N22I9U/loPYwfWj3SHl09KQZsPdfmcz1a4Ww9ZPRRPYGraj3oH2U9Q5hSPT57VT1l81U92FxUPclNRD2jaEQ9Usk3PfVLPz0Tl009S45OPaTPQz1qU1s9NeZkPU46TD2CdjQ9Mwk5Pa5UQT0nfEE9GzxEPWKwRj08WjY9bZErPSauMj0zu0c9shNGPSkRST1eiWE91kRdPYh/Uj2fD1A9whJWPe5xZj0fal89G5ddPVfwYD3XBV09W8pkPX1Dbz0I/Xc9PLV9PSbacD39Vmk9fIxmPbABXT3zYVY9DzxrPUcQhD0ByHI9PLVYPZBSST3fukY98RFNPb8pUT3O5m89ag9zPdRgXT3vL1I9iIpbPcRURT1c+wg9VnPNPMQkvjwbjQg96xxmPRO9pz2azms9oyDwPF3l1zxyXxI9Wq36PV2DaT7ezlg+R11SPo0ZRj4WSUE+CFQxPhAGLD7xQTc+w1A2Pm/NPj5+9DM+GpMuPtlvMz4aRz4+iBRCPktPNj4Fjjc+9a00PrWWRT70sUM+QVFCPoeOQz5EMjs+nw0yPshHRD7gZkA+OL41PsGkKj4bszI+Du02PghlND6+Ly4+FwY8PhK3Mj4GBC8+2IM8PtBfLj7X3zE+PVM5PjD3ND6MHTE+Zf9DPldqbz61nUw+Xi84PoDTRD4O1kg+mKw9PkuQLD6zdic+uP1HPgLNTT7mnEw+H40tPrC4Lj4oRjA+ZZUrPj/UNz70yEA+xcU6PgESPz5nmUI+u08QPgsT+j31yQo+jHsmPhxhPD7VzCQ+ZRIzPiLFQD4uDEg+Ybs9PoXqMj7LEzc+g0lJPiXwYD5v5DI+US5KPqFPUD7bukY+zeBMPjmJRj6zyUY+uuZDPvYmMT6mzzw+scVTPkopWT7+sUo+zF05Pkv8TD6QZEo+MspAPsmRVj71lZg+0WLMPp+XiT77gEg+nEA5PnTqLD6UNSY+nO01Pg/oOT7k9Cs+EV83Pv8vLT57uxk+EXUpPkcYMz6ChDM+p84qPvWhKD7QGSo+xfRBPhMtOT4aEEU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4k7tz3Ufk89hZBKPUuRQT1X3TQ9/24zPfpYNT2DxEA9uEY0PXMaOD2JqU095rdePTHoUD1W8k89pOVBPWY4QD39ty49uM86PbOdUD1atkY9hYVCPY8JST04Flk9b35rPWG/Vj0WNzQ94VYyPfJyRD0x+Vc9IFxKPWTBOT1CMjo9+kE0PXeLLz3CPjc94ilCPTHgPj3/yjY9OeQ6PZnFPD3fbDg9Rcg0PdBlIz3RbRU9XKIdPfCDLD2OqDA9FAQkPVqGLD3RdiA9qpEbPajZKD1r4zQ9ycg+PQ36RT1a2T09vuUxPYNjKT3iBTw9QHNDPRToJj0GZyY9DRs7PRxjPj2ZD0U9xLY7PdHmOj15S1E9zDdmPf41XT1JF109vZ5aPdV8Tz3NR0U9cA9SPZNoQj3bWj49WqU8PSd6PT1Eejc91sIjPaK5Jz1tZi09dXgpPQlcJj2EvCw9LoE/PZdkVT3ypEs9qZMtPd9FIz1h9SE9MJIjPXA2Mz3o8z49W/g9PUxqST0/q1M9Ky13PSptfz0+KWc9S8RFPcoWNT2EqR49C7EfPTF5Ij1V+i89DIU5PZQkTj0iLk89tHZDPY23Rz3c/049IB5MPT2DPz0lgzE93isoPX+RHz2V6ig9j0syPX2hLj10CSg9NOU1PciSMD1qcT09qXJPPQe9ZT2U9XU9IPFqPRNUZT0Nnlo9TcZMPaS8Sj1WW0Y9ocJUPc4NXT0Y8ks9eV0/PZTrPD0H/T09WLZnPfVIZD1kv2w95D1qPYI/dD3Td4A9KNt/PZhnZD0yIVQ9gW5aPV0bTT3GrDQ9ysUxPa0ARj1qp009mwNZPZzGYz36/Gs9OR94PfXbgj3VwoM9Z0ZtPWRWWj1Ax149CCBfPRhaXz32il89GSFcPV4xYD1WSGw9EodwPSGBdz0tW209oA9aPc+RZT2hxYE9yjyBPcYLcz0eVWk94k10PZ1YbT39uWU9rbdlPSjYYz3k0lE9nIFKPVoVTD0O4EY9LgdOPUNdaD3tY2Q9sRNQPYKsOT2kUTY9A3U7PRcxQT0Pr0A9octTPe8rVz2uZ0o9nvBQPWjOUT18/Dw95wVBPTcOTj0ejFo9bNJNPfsiOD2AuzM9uKs1PQtLTz2BkUs9qFBEPeyGRj2Nl0s90tdvPUy7dT3SznM9UmtpPUDGXz3WTFo9PfNRPXtaXD30v2E9XDVmPeCzeD3bfmY9ybVWPR0DbD1ah4E9s0R2Pc+eZj3vKU09SkVUPW+NTT3S1zo9+Wg3PezuND3pcD09hxpAPRwLTz3bUk09ucE7PUYAiD0egt89eY8LPvOZOT7gli8+ln4DPsuiwT0Bbvk9jk4dPoXAWj46qUk+VLIZPkWn/z2LdT0+EfhoPulISz6TSzw+c2Y+PpefNj4phjM+sIQ3Psn0Mj7WHkg+gspSPvu5Qj6cXz8+h+0wPtZ7NT4qizo+PjI1PocNMj4HwS4+0UgnPrQTMT6Qszk+Lp8iPrqMID74pTI+1jg1PlwsYj7O7mM+64xGPgRzbz4s94E+9QpNPuBFHD7x0BE+ljEiPpF+Ij4yODk+04ZYPmEnPj6SSTQ+hV0xPv6hPD7TfRA+P1IYPvU+OT4E0jY+lYY4PteNdj4pqVs+QCYoPmiiKj5DXSM+8qAnPsYAMj7tJzs+l44/PnDGWj6MdUo+Bo1MPhPBWz6QAUo+RpAxPrQgPz51gj0+hHYAPvXaEz7KpyU+4X0SPqKwGT60bu49l10pPufaVT7fVUg+idQ6PnYMPD7tYzw+HURIPv9fSD5ORUo+mflNPp5aQj5zU0k+YQs/PjG/Qz7is0c+vKFBPlnrWz5DTEo+D0QvPlR5Nj6zWEQ+whIvPu6dSj7Hx2g+oo9TPkR4aT7Wfbc+fcK0Pkgbcj6IZmc+aulIPtIFST5UunE+kA5GPiR2MD4kfSg+BN8lPpmZLD4a3iU+0BY4Ps8qKD6ZRxo+OjcRPjUKFz5AzBY+3/0yPtJoLD6sWTE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2pEsT1VvFQ9rTIxPTDDLT2uGTc9u8lIPb/TQz0G2TM9/3c4PQP8PD37HUI9peVTPXHeXj0sIWE9f29CPaoYLD3juUM93EBRPdfqNz3QozU92PpHPSX2TD0pkUg9Lrg5PfKlNz3m4Tw9kOZJPUpGYz1Q3lQ95VE8PRd5Lj3IMCs9Rsw1PcktMD3dTTI92nkcPagCIj02+iM9NBQtPeI2JT3iLys9UGk1PeQKND3PWDI9jawxPUWLIT220B49b60nPQDeJj3WLB49a2oaPac0KD28fUg9BCg7PW9qHz3lOBw9Hp8gPRbyLT3y7jM9y4UzPX6cLD0+sD89o9FOPSIhOj0ycE09QtxSPebtVj2vtWk9Elh4Pf56Yz2txUs9nHE2PTUpPD1gYT09w0I7PRTIMD0gZiU9yFgwPT8DMj314yM9/X0lPa6tQD0hzS89TkorPUWyIj2fIC89Ppo7PRMvRD0Z2yk9Q18qPaG3LT1nSC49zVI6PR9PSD28qU49OWVOPRCPUD3fD2I9R6toPaNLTz2M+Ts9jr81PQN8Mz3+Uig9UYglPez5Lz1hDzY9uMA/PaCfZT025Xg9xe5lPYZMQT3Qlj49FUdAPfl6Kj2eCSE9sRYlPX1ILT3Y3jE9xto9PRFxQj2RxEM9I+s5PWKLMD0znlM9NaN1PUI9dj3j32s9xGhiPfLrcj2HElY90VhPPRePRj2lBVI927N2PSbgWD0ejUY9NOdSPYLKST1YzlA9f8plPR97Yj1GOng9iwmCPZuTZj2+4Fw9A69ePcbmUT2MdlM9WaBIPeuBSz2yslA9s5tLPXLOUD1VWFY9/IpVPcZgWz2ZxV49UPldPT0YVD0bcVg9KClTPWtZUj2PJWQ9k41zPVCMej1IwW89aQh5PWxyZj0XkWY9uM52PTVMgD0l8mo9M7J7PW7ohT0Brnc9UFB/PfSrZz0up2k9oatqPQQyVj0RGlc9AQ1YPQv5ST2F2VQ954JSPRCqVT0LZVw9OCVMPYB4Qj1zjUA9XVMxPQP4OD0Jdj49pBM+PcuqPT3Lxk09uWVSPR3WXj2irWM9uTtlPcTIYT1MglI9p3JBPd4kQD3/4Tc9IPA1PZi4Oz1efDo9midDPUIoRD2w/jk9fa0+PZRdVj2g3lo9DO5kPUHdcj16VWA9FgBTPaNPTj3vQl09M7tjPVgaZz3s9Vw9jLtrPbn1bz3ArG89cR15PQz/cj2KRGw924lhPXuHTD3gezw9TT85PXFQNz3IMjU9d0E7PeCFLT1YFDQ9sQA2PZ86MT1uJzI91Y4oPS4sfD2+DOk9T2EqPsR5ST7nnVk+Rjd1Pkh0Yz6P6VU+ScU6PhfaKz5anCg+tqYuPsTxMT5Pcic+k9QwPgvQLD40yC4+w2I0PuZ0Jj4rPTQ+WFc5Pt8iRD715Fc++1yPPt2IfD7M6l8+8Ec+PrJ7ID5wdDE+0wo4PtyqMz4gpDQ+WAQmPuErJT7nCCs+M9smPr3ZYD57QzM+Z8dwPvP4gT6abFU+wO58Ptd3gT5A8FI+nS5LPs0xND6EiCY+/x40PmDEOz5m50Y+089cPjNIND7QDkk+udI+Pvg4PT7Q/i8+049MPre5TT6I9UA+ixBCPqhySD5PnDg+VB0tPsYCQT5BdzY+UeIwPmhhOj6yWy8+H/A1Puj8Oz6Z9TI++7IqPr5ZRz5kZVo+Iv0qPp1yOz4b5k0+tbpEPn8OHj5e8Ps9wEYTPupKJD5lOwo+J40JPsLPMD53JzE+y44lPkqELj6tJzg+Q8YyPj8mPT7tu0c+4WU2PpcgVj5ttTE+Wnk5Pqv5aj5rIFQ+DutHPijKNj5fsCc+JvRNPqfaUz6lvjE+TrojPnwNVT48/Fs+ptU4PqrfOz4mymk+wWpuPpMLXT45o0Y+kplNPvlSgj7MJKA+DVNfPmf3Vz5BKzc+7dJpPh7gaD5Vqks+K6hMPqmbMD5zejo+wfNAPsbxFj7l2BY+iQo8PizRLT5xky4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwY/+T0J02k9hGQxPaZ3MT1f3Dg9iUY+PQceQz19/jk975hAPQu1Uz0CCnY9c35wPUoXUz09jGM9+3dcPT6KWz1nBkI9gFU7PS8xQj3qGFM9betRPVHmPz3+sjk9PKxCPcntTj0/zmM9yuFXPTlyQT3ivC49CxMyPa7tLj3xEi09pn4pPV0sJD15LiU9tx0cPXqXIj35nis9i+E2PTkuOD2bcEY9nV9EPS+0SD3tNDI9kGkfPU6ZGT258is9iN41PbrHKj2URC49IyMpPQLHLT3PFjM9V5oePZlPET3xLiA9z5gkPeOsRT3ZhFI9ePdPPU6ERj1A2lQ9mEpfPbs+cT1BYGk9kcFHPXM2Pj18A0s9ImpLPY1aRT1Nqi89JwojPeLfHj3aQSY9cjsjPVV9Hz2T5iM9k70uPSsVPD0oaj89Mi88Pe5/OD2JFyY9zJYcPXCbIT0tpSw9NwowPZ2FOj1tx0I9utw2PcqUOT1yyUc9eSZSPUqUTz2WAFA9V6dZPQSsVz0NLFE9uQdRPbcbST3pdUQ9la5LPaPtLz271ho9aGYrPbsjQz1/FEo98NNpPXVngz00p3Q9n0FIPXdlPj31KkQ90C8xPfbjKz04ZzA9LPcvPRxNPT20uUo9PoJNPVVPWD22AFk9PrA/PfozUz1CSHc9poeAPdexfD1sKGA9u4pIPdtPPj3o2jc9JAlAPVHpQj1fTks9qpFcPSRQUj2uWVE9mlhYPSW7YD0KpXQ9vkt9PVznez1SsIc9ZCh+PcVUYz0ylVY9kYZKPTqbXj3aSmc9JOxkPeqxYj2WM1w9wNpVPcJ2Vj328089l71EPXuRTD1hRFU96hlNPc7DYD2I0l891r9jPTWZcT3SGog9Q/SHPRw/gj2cLGo9/w9oPQWIZj1VUXI9net7PT5KgT0vJYQ9TAyFPVh+iD0sfH09wWVnPTRrYD2lX1Q9C5BMPXHNTj3KnUw9gZ9ePRidXj0Jolw9y1ZdPQERYj0Bt0Y9q/M4Pd3CQz0/mkQ9DIBMPTRxUj0rXFQ9rUlIPXNnQT3rVkk9QnFMPTgdUD0VS1Q9SzBJPXVlQj1Xojo9P7U5Pcf0RD0r4T89eupLPfj8UT3alkc9e9xKPYwgTT2C8lk9X8tePQ7CaD3VU2o9rWxjPdguXz2UNEw96O5GPfs6UT3MaFw9qFlpPSJ/Yz2ouFc9FYNiPWxqej1U73k9Z6Z8PQkOej0j/Fo9SDpIPUTBuT1y0OU91tU5Pa2pKz1qOjE93HI2PZLSKT0XxSw9TI0oPaVIKj3PYyA9imoaPZ0GGj10wh09p55DPWTcyz3W7EU+fVN7PjFFaj7Fmjo+JQ4qPndZIz6B5B8+ffoePvlXKD6kPCg+ZtorPiJVKz7RtTA+F6A7Pp6gTD48F1s+0MU2PmQ3Oj6UEHI+Ad12PtNicj7kF24+O1pPPor8Uz5CsF4+2QEyPmnRNz62ljs+/Jw1PkMuPD5hnT8+jhcvPmLjGz7Hsx4+05GAPnlxej6EiYk+MCmaPszmij7B4Gg+7C2BPk1lQj7CySI+FyBAPuQqQD7nW00+06R+PtfQPj7zgEg+cthBPkBwLz46pz8+oW8/PoVuLT5D8UY+A3psPmmdaj7Nm3c+nTmCPrRYhz4whHg+wQoxPt8/QD5rvkc+QOszPkpJQT5YjlI+lDlAPnCPLj6HiUE+RCN2Pua6YD4yQUQ+9PpKPiBmST7kYDc+SKIePtVlBD4zQhk+Za8tPnEyLj6udSA+7cEXPu/iHD4EvRg+mhMiPh9zKz6MJXs+CixSPhk1Rj4vyB0+HDIOPrQIhz7CpWY+Eu9PPjUsQz6DhjM+AdNUPtcrUD76OkU+hAw4PjZoPz6E8Ds+EmI1PstNNj5hnko+APYyPiIKLD7hRDY+LLxXPkLDRj4MRUE+hitcPi7JZj54rEg+XSRUPhL1cz6DzHo+HzxVPiPYOT4M5jk++ahBPjS6NT6gGSI+WI42PrbaOT6/1jA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8xrlD3anUc9SfQ0PSwnST2rskw90NpJPcC7Vz05ulE9dRVEPRVzQD1tvkQ9GTBJPQhPWD10xVw9kBxNPfBaRD0Ezio9oD46PaEXSz0aCj49EoIvPamYPj3G40Y9W/lbPUELVz3NO0c9oFAyPUg1Hj2jiys9zPQvPa7RLz0OOSw9SKMkPb96KD1lMDo9MXY/PYDfRj3grzc9c3E5PbdaND3wkC09ILcwPUN5Nj3jkyw9KHIsPWS1Nj0UqCk9PlwuPSXdPT358jk9gmouPcs0Kz1WeCg9+as1PdWGOD1f6DI9MpE0PWgjRz2C7lM9H4hLPaLmRD2QLGY9OlpsPSOnVT0ws0Y9hc8lPboIHD3T/iA9wck4PUOeUj3Mv0M9N30kPST5Gz0CYxs9H0kgPYM3Jj239i09NTQwPWx+PD2ueEM9X48/Pa5WRD3d4Cc9wFsdPTUoLT3nBS09HvVFPS/tSD13ZTo949xEPTIuYD2ln14981ZgPWs8UT0Y0Ec9V+4+PRx6NT2fyDQ9ZB4zPR1IMz0Cljg9jWIvPU/7LT0gdzw9weNKPaA/WT21pGM9OUxpPb4PUT0NCUg95jVJPZ1cST29/Tw942wyPdM1Oz18A0E9tvRFPVcBUj3G9Gw9+7luPUsWaj27lmM9jstyPTMLaz2N7VM93RJHPXPSWD3SAGI9zodEPdMmJz0SUy09YfM/Pd7jQj2vHVE97l1ZPVhkXD2Dym49VLmOPUT1ij0lcn89hayCPd1lZj3B81Q9uO9SPaXvVj3zuEs9xZRLPWBtST1oT0s9FWtBPTFSUT2evGQ9n4BdPd4zXj3FUEg9oQVgPYpYcD2vcWk9nydqPRYVcz39E3s9OJxyPXsEaz2FB2E9VsZfPfWOZT0Ayl098hdlPYplcD0Nk3Y9U1x6Paamgz3s4Hk9Fo5OPZMART167EI98J9BPUkrRj11lUo9GrRlPeptZT3dBmo9qp9pPYWZUz0TM009nuVPPbaNRj1gLVQ94QtZPZUzTj15VVU99HNZPdSRVT0YcFY9lUFFPa26Mz1/ykU92ttOPTI1PT3ENzI9rn8pPa0dND0rX0g9at9RPQN5ZT1kQFQ9JB5PPW5XSD3pU1M9JP1TPYUrXj3xPl09rX9UPZ4xSj3+QEY97pJePcY/Xj0GDE89OkNWPYzAVz36Klg99xhRPapnXD0YMW89ILd8PeGEgj03jHk9x75wPcmjUT3VKjg9foQ6PfuWST2rJUY9NMwzPaSvJT0MRjQ9cfoyPXxkUT24xUc9Bv0rPc6YHz3FKCY9PcYnPdTfHz2jFyQ9ltepPdKTdz5sbYU+4XtWPu/pLD6fWi8+cgUrPimNID5IVSs+wpA0PtNxIj7nzSQ+c4wmPnw6Nz62Vz8+PjJQPq0MeT7j/Vw+AakzPtxdKz5emlU+pMhGPiaraz70aIc+sHB/PkTKkj49p4I+WctBPhdMPj5Qljg+ppIxPu2RNz4fADc+dpszPuDpMz6Aky8+fJI6PjLKOT5xkHU+yAOAPsoIhD7g+WQ+6cNqPnyTQj4lmkQ+HrBvPpk0Wz7OE2E+klBiPmfsfj5Dvmg+KQ08Pgz0OT5WfkM+rwsvPk32UD4thXs+C+BvPpOYaT6n6HE+MU+GPox1gz7uH4A+TiZBPpHhPj6nL1M+1S9QPgN9Wj6nNGE+uZ9mPkKfNz7Qu0A+AiWCPu2Whj5e6EU+7jg7Pv6XQT6cTDE+RI80PnZKYT5jEl4+s2RPPiugPj62Fkg+e9RbPm7QRT4aYkk+MipJPgMyGj49D1c+qwhjPtG+OD4d5Sg+RdQVPoC3dj6+FWw++tFCPhUgRj7l2kg+BmM0PgILJj78zkA+OGlBPpRUQD4vajM+wp1DPkWIMz5sWC4+3XsoPibHOj5LdT4+gs5bPgpLRT4yCTc+EPtEPm/eSz6BkCw+0uQjPu17Rz43Szw+vHorPtolKj5vwzE+dLArPkFoLT7MTVs+SmpTPnSFKj7fwyU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf75KsT3OiGs9upU7PYqCST2lEUI9XHlAPS3ENj2AZkM9I/5DPQd6ST14jVg9EbhSPZd0ZD27UFk9Qck8PdQDOz0iCkE9hmE3PWWqMj39G0Y9gBVMPZh5Uz3M0049ct8vPervKj3KqzU9y788PZF5Pj2W6TU9iyo0PVeJQz3ECSw9m2QzPTxMPj19K0g9YrRMPRXnOj2jLSA93AMePUhiIz2TVBg9gssdPRdoIT2JJDo9YwgoPVJfJj3BRjA98nY9PaIQQz2kTCs953cbPW+bFz0J0yE9Jr0fPTqaOj0vDUQ9HwA/PVYgRz2LiUQ9E7M7PaGGPz1c9js9ToEwPe58LT2f8Cc9XR8vPeX7Mj2Mdy09luExPRfrLj3EwCI95CsqPWK0Hz3Vehk9M7sYPVtiGD0l0DQ9lUA3Pez/Qj2smlY90rBIPfF9Qj2VDkA9RZ5CPSjjOT2hF0Q9g+NCPRMxRD0JY1Q97RRbPYkiaT0ReWE9pMRUPbf5Rj3I8T89x9smPbgIKj0nmD49SE9PPZNEZz1fwlI9CiFHPfV7Uj24f1M9J/REPdHSSz3lKWU9WPddPV88UD0FX0M9wUlDPaA0Tj0t6j09P7I9PSmZUD1AMk09/aBPPdc1YT17nYQ9A2aPPU82fD35rVc931pNPfhzUz3cMFA9XY1VPfBmTD05TEg9lAVUPdIiST15Sj89OoNFPbhLTT1HtWo9F8qDPVVjbz1znWs9CGCCPbJcgz2zOGw9MsFfPeY5Oj1g9T890otCPfXTOz0ijUI9Rrs8PeyOPj3Z00M9r6RQPRq3XD1rllw9I9lXPccgYT01hmo96oxxPeD5bD09dG89GDxnPciYWz1z/2E9lk9sPWUwXT179F89RsxjPTNfbj2vEnw9kNh1PVxsbz2OEGA90yZaPSN4Uj2EDkw9FzxLPYwfTD1P0VQ9RqFZPczYZj0GWGQ9D/tbPYzrTD2SOlU9B/FePd8BYz053Vs9DzJsPZPfeT0fW3s9GaRrPSiBYD25T3E9HfpnPRbxdj0tH249qlFRPVxzXT3Klk49hEU4PdOeTD2OjUU9BFlQPaOdVz2QR1o9Lo1bPacrYj3DTUw9DZpCPRsVRT0pulA9z3NVPf4vbT3002c9YdtiPURfaT0ZC149d/ddPeZRWz3MpUo9ANJMPfXvWD24DGA95Z1MPS74Tj0paUo9hrNNPQ9zUD1FaEk9Ea0rPYtrIj3xHSU9ML4pPU6mMz2J9TM9HdgrPXefMD2fYj499ZddPTJ3fj3vRTo9v8Q/PWzvMj05Dy89mUg3Pc0hPz3c/kw9cWjNPYaebT7vZmk+8oA1PoLjKz5kmCw+/NkcPgicHD6XZC0+dL0uPoASJj5uLyM+LaUjPggYQD5mg04+puBCPlr2Uz7xGl8+ghtXPi7SNz5n/Ck+g8FKPimukT6On4c+HRiOPtOMXD65uDY+97JDPtlYUD6x0D4+f6AxPrCfOD56RT4+RVIyPt1mHT60oDU+CHpuPpj9Zj7qmEg+8MpbPpMMRz6nM0w+gK1QPhi4Rz7DAUA+kfpJPhh1SD5EKlA+ZBJbPhfAVz7oSGA+CP1JPnDZTT7PAEk+tQROPv4jYD7qLHI+rwiGPkP2gj5fj4E+zuJdPo3zYT753WQ+hCpHPnC3Nz7WR0I+nYBZPmBjYD6HNlk+9xBfPmJPVT4JgUo+FFFPPnPUUD7HXUE+RUNIPqjgPD6XsSg+9nRFPtbSWj40NV0+gVtAPokpMT4uJUA+aSwuPuwTMD6/xDc+EFxAPsBvID49cgs+dLA/PpU1VT7haD8+tMkyPnVsMj7/71Q+h2BSPnY7Oz6XNCM+/d32PfPLAj6vJAk+BaMLPnF7OD6pi0c+rbdQPmHTUT5wliU+d80fPmufSD5OBTA+Nu4iPkJBMT4kvEs+Xv49Pux8Nj6i+Ak+Xos7PggkUj514zE+BkgzPnWJOD44Dzw+aNhFPkKYTT5UqUE+uWs3PuzoMD7hYyw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4nLzj0UaY49qT9FPScNRj2Jmj89VzQ7PbhPRz1AYlM9O1dqPdPhXz3TEEk9FAA7PRvBRT0Mn0s9LZA+PfH+Rj0q31899jFmPbJ3Pj23kEU97R88PUCuKz0oeSg9R8UyPeq5MD1H9TE9oBBHPVUnRD1GYzU96lAwPct6Jj0FTR49EfgxPd9FSz35gTU9SWEiPYMpNz1afy09JVInPXdnKD280ig9PLMiPTcfGT38DiE97DEgPfWaLT2w1kc9dpxAPevrGT2iKRI9uNIePcwDMj0lZjA9hp8rPR3hOT2nnzY9wrcnPWsNOz1s7jc92A0iPeTOIT181hs9VwcgPYt9Lz20MSs9f7shPXwcKz2wjSw9gUkuPb57LT3nyCI9dn4RPchIDD3ZqRQ9pmYgPUPPLj0EkUY9gL1aPZqnVz29tEo9Lq9aPWhSXT1Cl0Y9C5g2PSiuQD39KTw9w2w0PbjDOz2Vekw9SR48PVEaIT0J8UA9UPZZPSynUj2csjs9VLRAPTsfSD2tBlA9ET9WPQ9lUz2J9zo9Gw42PdPCRT3nN0w9+6JiPQiaaj1T21U94bZPPf7ZPj3+GzI9dtw7PY5PXD2byGA9xLFfPQNIXz2Vb0s9cRFRPTGDYz1op2o9ILhcPaD7QT3UV0Y9KgBBPU5BVj2wgXM9+ARgPXdvaz1YVVo9FGdXPYWXUj1Lk1M9H3BePROqaT2QXXI9vuZiPW5rUD0PGVQ9m8ZkPVonTT1wW0g9uKE3PRsNPj0aS0o9P0lNPX/RQz0okEM918E7PSEnNz2M/kI9nRxjPdp2WD3sFHE9Zh17PSWadD01WnE9WhdyPatfZz08ClM94Q5YPTD7UD2NT1E9KctbPdShXT3xsWM9JI1tPWH4fT1ldoI9miZxPRcxTj3gAk09qA9LPcGBTD0yvVk9ZmxvPVvBWT0LNE498NtXPZSbXz2LG2c9EltxPRp9cT1fP2o9NpxrPWDVej1OF349kR2HPbowhz1Wg349oOiAPdC4dz1tG349X2xmPVHhZD2LAHQ9F4JVPXjfOD3E1To9sIE2PV1nRT26tlo9/+pLPVHiTT3tqV89HvxUPT5fTD1L1UA96H9EPe30Vz2xyW89frh9PeVLeT2tU3I9CSZtPRm1Wj1nGFQ9hgpSPWGQUz22BE49NL1QPUn8Sj24fE09aTJGPRg3Qz0p2UY9jotAPXQFND0o4TA9JzUjPVG2LD28az49nXpCPRsAST1/Vj89pJAmPa7fLj0ALUE9jZlDPRAgNz0gTjo93/dDPVgPOD1GNCw9KZ85PdNjTT1kN7w9uspUPvx9Wj7vZDg+/YctPgtsLz7qDS8+jeYhPv5pFj61tCI+VQooPnlgKz47ISY+QNQrPpHbVz4UxkE+mZ4vPjnWRj6Cik0+WPh7PuatdD6Uv10+9JpVPhpKbz7CHng+QTSAPsTvXj5RdEI+24hOPg28VT7c5Fw+ZV5NPuYrTj6fOEU+280qPrsHLT7BSU0+uo9MPsZpUD6v9Vw+FEtnPr0fWj4BITo+xbRhPkuzXT6OPkM+tCFaPmvUUz7Cv0k++Cc6PsT0OD5lp00+hxRQPh9wRT5M80Q+hj1ZPlb8Sj41/lE+l61YPo/Qdj7o01I+Cmc7PkABdj4ReHo+lqhFPmJ1QT55qVU+TcNnPjNmUj4TETw+a5U6Prc7RT41MUU+0CtBPrzZTT4rMFI+M3xSPg/TRz7cZ0I+7UdFPjv9aD67m1g+vx1KPvYjLj5HxDM+TZc5PmoaTT7SbTk+b9RCPhHXVD4/3Dg+bu8dPjjNMT6LKD8+BvBCPss1Pj5bSlU+chpXPqDWPT5M6Bk+81QbPnUDLz6LcD8+FRIePrpcAz4P9zo+ZiJGPuITOj4MRT4+JwcnPnSUPT7vUC8+miIePvr9Pz4E9VQ+16AtPlpPIj5wzCU+9/Q0PrQuKj6OIDk+QUw5PjrCSz6DZVA+KW9BPn94LT4Xyig+gGI3PmLiLj7kkDg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyn6uT1f9YA9U3A/PfxdST1Vg009ca1RPfw/Vj1V90s9XfhcPfk/YD1Qb049bKhDPWdnRT0imDo9mzBCPfK+UD2yv1A9YXpBPXLkOj22pjQ9vt9EPXfXND084jg9JvtWPWp3Tz30vj09IYQ6PRh9LT2jhic9CD8+PUBZRD0Y/To9WUc5Pb6CNz1RdSw94wkzPf0JQz21ijQ9ETIoPUqrHj1MMxs9kSQSPd/fCj1YJCk9lk05PfAEOz3K7Ts9EDArPfLQHT1JziY93y9APQ8eOj0e7yw9UbklPdXQKz2pNzY9w3o1PTrtJz29Gh09JJUIPSxPEz1doiw9gQ0hPXAXFj2zqB89oGsoPbFsNT3n3zk9uaU8PaDFOT22qyQ9BwkYPQCgHT3k9iw97v4pPTIIPD3Jw0M9IBdDPfaESj29l1Y9hnVUPU1sMj1Mhyk9y5MvPZtiNj0jdSU9JsAuPZ4URT2oZ089eQdKPXt/QD2rv1E9iDpXPf/YST0Z5DE9VQ1SPb00VT0rA0w9OkxRPRmeQD1HETw9LldJPd69WD0Srls9VvVjPVBcZD2a9V09+CxkPcoGZD1sumI9MMFfPdy8aD2OymQ9s/VgPdiaST1p+j49KrNRPcakaj25gGk9nLpdPbwdVj09R2I9JzR2PQv0gz3xPXw94FxSPUcsVD0O01w9LIBiPVR2XT1Ng1s9EIZZPULDZj2/FnQ9AWRgPfisTj3LRlc9IwROPUMaST1Eyjo97UlMPaosYz2j6WA9wSBGPSwyPj13v0M9roM+PVuROz2SDT49lBxGPZdhaD30D4E9B4hqPaXPaj2owWI9d0FIPUs/Qz3yrVo9YiJ0PauDaz3vq1s9lCtrPXW3YD2D3mY9FERmPQzMeT155249Ms1UPfN0Rj3rg1I9/jpYPaFUWD2oh2s9JUJ5Pc0aYj1vdmw92ZVhPSfZaT2+XYI9icSFPdXRez3jDW09D2R4PURxlz24PJ49VSGIPZNijj3e5Y09m2+IPXPuhD01Ono9tQR9PUWHhD1H0Hs9WUFlPX8FUj0iPDQ9w2k/PXqbUz00jUk9/QE8PZjPST3TJEw9k+pFPeLJQD2+6VQ9kGlYPZFvVj06lWU9Yh9vPWh3Yz3t3GI9hYpPPU/VST3cg0g9c4lGPduSST13xE89I4RfPfHeTD2a3S49qaU0PfOlMT0xpzI9d+YyPTemMD2jGDk9/TlAPRRMST08E0s9aGxLPWH8Sz3dDUw9AYopPTY7KD3hUDM9Q4MqPcUsQj0JClE9fnU7PVKRKj27OBg9+gs+PTA0jD1XxDY+r4tlPqm1Pj6m1y0+JUMgPtdPKD5JOTM+HgsgPhu5FT5tJhs+eh0hPu/1Lz5PITk+xfomPnDWWz4mi3Q+ZodhPv7hUj7c51c+3IJfPkeCSD5fJz0+8zo4PubfKj59MCY+WbtPPicVST4hQ0w+cEhdPuOWST6GgUo+S4VRPsu5Qz7o+jQ+3LA7PgBTSD6Sm04+RWo/Pv+rOD6WAU8+1epXPuYMXT6fpFM+K+BKPjM+Tj7g7FQ+22ZjPlhZbT7jg0s+5uNAPjNVMD4P+DI+9ggxPmaKQT5Anj4+kjw8PiIgPj7dnlU+yElAPklKNT4qYkA+BLQ1PnVZVz7ep04+NME8PicIPj4Cw0o+ldtaPsHdRD6Y6jg+O8U3PoDVRD6wNEs+NWpCPqxQND7PfFA+8Ah8Pu3aWT7y+Eg+YWgxPv/7Oz5kmz8+K/E8PvhpPD4bYzs+XgdLPlCoQT46Big+p7w8PksWYj6U70U+cb8/PhMMNT75HRU+2aIdPiB8KD6agyI+4IIhPu4dEj5giQY+wfsVPvP5MT5J8js+CwQ8PgwlIj6AkBU+/IsfPlMjPz4F6Us+hVkrPt/aNz5J9y8+zQo0PrF0Gz4lgCs+BZA8PnwyLj5xOig+GWovPtAWMj6DkTw+Xg9OPj3nST4qwUI+aA0tPhGDHz5vqSE+QTAnPo1lET7VjTE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1AAtj38CXk9X9w9Pd64Tz1uSkk9+LBEPd84Qj2MeEQ9sZlSPcnWTT0Mlj49nh41PabvLj3Jjiw9URE6PRDIOj2ztD091BU7PS33RD1pGEU9/gZhPYugZT2Ze1c9TNRHPWqeMj2u/yw9tyw/PTzFRT070ic9vHY6PdzATD3KKUA9m1gwPapWRj2qxE49UZ1TPbfUOD1GATM93k0uPZ0hLT2NCCY9h7oePel7HD2ewT49laFBPUIBOz1NSTw9nW0wPcmPMT1PtSo9a1orPSdYLD05AjE9CXU7PVnuOj0zmkE9DUtBPe7NHz1VCRs9+hQQPbMFFD1K6RY9qtocPUREJT02Tik9QuM4Pf6qQj0IsU09qu1OPczBUD0Jnj49QWUvPYtmLT0VtzQ9zLxCPcktRj39Q0c9HD1UPVu8Tz144Uo9+4s3PVRqLD2lDSo9UAImPdNKLT0+pio98RI1PWt2PT25kFo98zBePXlTWD0BUGI97qtePQDMWz0/eU09U+FAPXoWTD3LxEw9mz5KPab7QT1HM1o9T8VTPQ7wUD19XV89pV5tPWbhcT0YZW899n5yPaSBaz0Mbng9+eWAPT3JaT3uclE9eJdIPfkzQz3NP0g9X3hiPSXseD1S1ok93oCGPV+fgD0NpWs9rcp0PQM/cD0j5FU9IbY9PYnhRD0AqUA9H909PTLeTD2iFFc90pdbPcgHVT13y0E9LqU3PZqcPD1ANDk9NTM6PbsiQD3pklQ9EytcPcr4WD0alFc9jvQ/Pf4ZOT3OqEs9pCNMPVWRSj02Tkc9galPPUWBSj3eelE9z4hDPVZ3Nz3OEkk9jOdTPatiYz0+5m89MdBvPZkCaT3UKFc9ZW9dPY8+ZD2bnG89bUBZPSgISz1kwlE9u/9RPWkLZD2g92c9URNpPedYaT1VhWI9hbByPY7tZz2qrHc9uUOAPSZqgz0RHYA9YRWAPRt+ij1EDo09zmuHPVUBhD3hg4M9xu94Pf7Vfj3M6Hg96PBuPfjAij3bSZY9ciCXPRQHbD0IfHA9z2RsPehBWz2161M9Q8hLPfaXUD2/6l09e49KPe9nRT1cwE09XK9RPTx6UD2lgFc9zildPbbXYD09x149judCPZwUNz3K5TI9421CPXXTOz1MGiw9xdYzPfY5Mj0vqyM90SYhPVInIz1IISw9NpA2PWO5NT3zeDo9++I+PcHbRz06k0k9yqxJPa72Rz28Mk49qRpHPbGvJT2aXyQ9BWwsPWJgNT0JozM9wGBCPY6gRj3oKCQ97/oQPdm5DD1V7wc9MRwhPfPsFD4TOXc+lvs7PvmgIT7pYBU+MoIdPlnvJj5RNSM+/i8mPtOyKz6k4C8+XBEsPoorLD5zWUk+EOxLPvkoaj789Yg+8F1vPvwJVj5lB20+dtaCPs7TVz6F4UE+7tcpPgCVJT7Ofk4+NXVtPtiYjj47NKY+r5ChPiabXT7xbkY+c3pUPuOxSz5BAkE+yPI6PgynQD4NoU0+jbFTPmb6Uz6gqUk+zcE5PuAIRT6cXGw+6shjPmVrYj6gHUg+AEJaPnxebj5LOX4+dBpaPqNqOj6jeTg+zokrPvy5Pj7RLkE+iPE4PtFOVT4TDWE+kNJCPvSrMj5iHzo+G0sxPhauMz6Jnzg+iBFHPmlzSD5p4DI+j3xHPkqIMD6QaD4+TBhAPicAWz70KFo+mbA9Pt6RRD5tqT4+1kuvPph+dz4V4k0+pNZGPuzuPT55GDI+BAg8PmC9RD7MCzg+Oi0lPkddUT6BkUk+pDg7PjE7Tz7vzjI+oO4qPqi8LT7e7S0+4r0tPuWFOD6GFj8+k+QxPj5vGz4wzz0+gDw9PryLNT5fIDc+5KgqPocsID4OqVA+eQY6PnoxNj6y2zw+I9kgPgo7RT7XcS0+Sl42Pv0zLz4vSzo+VPY9PmUAKz5jEig+CJYxPlA1Pj4E0Fo+8uJvPp1tJT5aeyg+DPpDPrgzTT64HEk+km4oPiieIT6n/go+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfw8ysD3dIoM9Eo1BPTuYQT2c1jw9YotIPYIsOj1h6UU9xZ1GPflNUj0vg2A9cs1APXQZNT0WEzQ94F48Pc1rOD1gwTA9UTA+PaOzUj0NWkc9dJ9CPUTuQT1f5z494Bk9PTcRQT2Vgko9McxTPd0dRz2thUc9DOVDPVNBWz0jiVk9DkJKPSFVSj34yD89e/QuPcMlMj1RezI9fFQxPaN4NT2nNzk9LWAsPWL8Lz2lJjU9K20qPcECJz2GFSc9K4AbPX5LHj2kSh89LxUmPbIwNT36GD896ak1PT0oMT2aHzM9kGAkPXBlFT2pnBg9qechPV6MOD1i70E9SqFBPb10Qz1wZ0g9e5c8PSsOPD2NpEk9XEBWPUegUD0mo0w9PKMyPZwlPz1YPEM9GE9APTqdPT03qTw9b1pBPeB3ST3xxiU9rfAgPexSMT3nzS09aPUvPUWRQz2jw189Kg95PZvQYj3kY0k9sOhGPTi2VT2x5FE9dls3PYtZPT0rIEE9AgE5PVPeMj3tGSc9ng9CPeEZSz0DKEo9PFVJPY9uYz34FXE9EgdrPQFRWz16bGU9uyp4PQd6dj2iX3c90opmPSWrVz1w20s9RuZPPX2+YD27nH89/kJ8PUdoez0TzZE972hxPf9EVz1G6ks9UZU/PbWTND1SZTM9ihU6PcjDQj2f30s9T+1GPeMkOj0u9UY9zttHPfNDOT2drTA9BoArPVIWLT0UA0E98UBJPVN4Qj0G1U89tVxUPfABUD2fskc9g3ZAPUHlOD0m3j49kwBSPQkLVz0S8Fo9KUFIPba3QD3Xjkc94ztIPTqBTj18c1E9UW1kPTOdXz2k4189zLtkPUCTWz2gy2Q9/s9cPdrcVj3Dw0s9nPxMPQCQWj3B0VI9bRJrPZ5xcD03p2U9d1pqPRzScj29y3g9pauAPRBMhT2JZoQ9EjaDPRsZij3wkok9ceR4PSqKdj2bHG49/0R2PTl5fT0LlHk92xtwPR9vbj2Ev2g9JsNvPVJIgj1NbIA9qitoPY9FZD2621w9kINgPf7AaD2Gqlk9QShDPdyVUj1ptUU977pBPW9YTD3zjFU9CfBZPYStXz2l4FE9641HPbVBQD2iyD09/lpBPcstMD2F3jI95xRAPVgzPD23ljs99Ak3PV3IIz0gFiU96QkePT6YGj0f/iQ99JEwPfTMMT3uYjU901YzPRkxMz1q8Sg9WiIoPZUWJz3oMDw96Ko1PXTzLD1u0Sw9s94tPU+vLj1q3Bo9ctQcPYVyEz3FdgE9paPUPGTTyzyjBOU8OY1CPSMvBT6W6Wo+/oNfPpTuGj5GcR0+hHonPn9jHz6SLx4+E9wxPlYkLz6rRCM+nKoVPuTyID4ZOVY+BdxOPgI4Qj6n9UM+lNRlPkU2bT5By4E+m8RoPhdkKz6X0Co+ZC85PnhlVz4bm30+YWGBPg0tmj69Eos+c451Pk3zXj5hJFo+hu5dPt28VD5VhVI+J7VMPtFiUD5RTE4+nzU9PmDTPj7j/0Q+n15HPtwURT7GQVI+/DxbPr79Xj7tuF0++TF+PsxKkT5ueVU+Y5VRPiiQOj4s5FU+u2Z7Pur6UT5lzXU+PWhWPmnmNj4Wl0Q+kHpMPl7oTj6gfEE+i3I8PoD2Oz4BRDc+O8pHPqwSUz6+OU0+7ctMPj25NT4fgDo+oigvPmtqOj4ETkM+NpY5Pgi/ND7tNTE+FVR+Pti/eD7gm4Q+HYOAPp7sRz7xOUE+tE05Pj7yND4fjS4+vgs4PgpJSj7Ivz8+2/tEPjhSRj4IxjM+8S04PuI6Oz4Ixj4+1kg2PlnENT5Q60g+AjtCPmnCOj61fEU+kF1APhTxNz7TcDk+ACImPs7AKj6fZTQ+zU0mPnbGMz5i+TY+C8ApPpf+ZD7HH2s+mIVkPjOuPT7QGTE++/Y2Pv+bJj7bFys+5AUpPvhUMj7MdkY+TUc5PtwjEz6PDS8+OPBjPhYILz78JzM+v/0kPuZUHT5BzRE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfz/o7D1WH5s9iCk8PTMwQz0W00w9425ZPdY4VT2HQEY92LZVPTNpPD1QHTc9pLQvPUjxNz3qw0E93HFFPWSpQz3hLDc9g+Q/PetZMD2AHCQ9XoohPdIqLz2Yl0c9oTxMPdQwQj0S70Y9h4hKPVVeTj18olo9aWhpPRlyZT11D2k9aclfPa8FSj11NjI9LFs6PRe+PT3D+Ck9/D0zPXgwQD0kQkk9oncmPcViGD0xHB89uRYdPYIuAj0KGwY9n4wTPdK6ID3kOyo9qK8zPZfOSj1iEE09qastPUvfJD39pCU9VvodPWdgJD0Eqy494505PTbARD0tVUA9Hb9OPQ51Oj1u1T49RBFBPT5vQj2mmD09Cpw4PZEyUj1vtU49yW8wPXy/Kz04Ozg9dgUsPdc1RD2Cc0w9lB4tPZPjLT0Eaik9fd0yPWh6ND1+Zk098b1YPZu0Sj01RV09cQRZPbP6SD19aEE98gI6PYhyKz1cbCw9auE/PU/YNz1c+jc9CBIwPRSGNj2MCEs9tj9JPeQqRz2q4kE933pcPXERcj3C3XQ9O+RgPW2aWz0QCGE93y9VPUZRUD125GM9zOpkPUKBYT1ZkmE9RUR3PYmigT3eRmM9lxRlPTKwaT0aOmY9OAVPPV+BUz2dYj89wKQ2PViKKT1v/CI9B5EuPZ6yNj0DBkM9AZ9QPYNqWj0+tFo9AQldPV/eOT3iITQ98U0zPRDmMz2GEDY9lLxFPczMTD03bGA90ClZPYVYXD0/r1M95WpZPVb9WT31V0897LBZPYysVT3oW0w9TYFJPb9yWz1MQ049RZhQPXc/Wz3RKV09hYJsPWQDgT2qAHE9ARlqPUO4XD3DBVc9TshZPacGUj0PZ1w9wClWPWdUVz1hd249FaFnPZrPXD3Uf1k95rFlPTXVhj2lh409LLWLPQaWiT3L/II9qlBvPfYVcD2O33I9/UdlPQcFfj3dyYE9TmZuPXx3dz0ZsXs9ZoV3Padkej05f3099AeEPV2QlD0AJ4Y9Up9SPcECVD1og1896/BUPTxJWT1zDlk94uxnPfNLfT3qdHc9zCdtPXw+bD1F8lo9TqFSPUdgXD0B8VE9++A3PVNZNT2RNEI9v4VVPYXZVT071j49mHA7PXjALD1j1yc91BcjPQd0IT3QGTQ9EN4qPbT6Gj0ngiA9wi8hPZ3sKz34Yy89uJwoPd6FMT2e4C09dTEoPfneMD3Tpjs9u4BNPTCrkj28ZIc946giPUpPFj3bsAs9d9YPPRUV/zx3Se48uevKPFt8oDzDzvA8XbgTPb2d3j3RtV8+zNdCPrSfJT60cis+34goPptVIj4C7CY+bvEsPtvLHj4slSg+pGEsPrKsLj7rTjQ+fRM3PpMiMj4W1TU+nm5BPkSpQD5vzzo+niUwPv8+KD7oIUc+yEtSPi/9Rj75XUg+xbkvPm2tOD6NkSw+QuE2PuybLj4evD4+RPJPPpWgQz4JLmI+RQFiPjFCZj6tHzk+j6U4PgvDPD74Xj0+nwJHPvqSOD5Sb0E+Tfk4Pq6KST77f00+vdhXPp66gz6cCno+lJ5fPoWqSD7FVX0+wRKRPntVYz5dVIM+ZotnPr41Wz4/Alg+gJxLPpxRPz5Y5EY+KmNXPlrVRT6O0FE+MppWPnGZVD6Q2WE+wK1XPmy8Sz69WEk+wcwaPq6DHj5fpyY+dgsmPrBjMT66pDQ+vPJhPrHNYj6Olkk+4SQ9PnGFND5r4D4+68AtPko+Hz6mRSg+eZExPlHiMj6ig0U+MyBCPmFxJT7GEBg+LWcoPo+qLz5huDY+Tek9PgKbND4sFUA+XtY9PvD4Mj700Dk+NnI9PnYgPD6yKRI+CmsHPlDOKD7RQCE+VdggPkYuJj5BYCc+r8gSPpN+hz4q7oI+681SPpVPKz4DPSc+M+wkPklcLj5Y5S0+mFw5Pj4+Jj6/PSI+y18XPtrKOD6ljC8+GSowPqfpJD5G4iQ+tsEZPuQbGj4OKx8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2fWGj5Xt7Y9MTQ4PVooVD1p22E9MydZPcloRD1GijY9kDE6PQI0Oz18Xjo9s+kyPcwcRj1910g9Eys9PT/AMz2uZyk9uLlAPS0qNj32FzM9WbcpPQ2BRD2NaFk9qI5EPQIdSj2cBFM9hwpQPf7PWD27y0w9SXlQPUw7WT2SAlU91z1GPSUXOD2KDzc9VloxPZgBOD2vtTw9ydRBPdz6Sj2c4kU9U9o3PXLJKT0f4xg9f9AOPYOWCD0ORA09IQIcPdofIz06Nzk9IH1LPWU/Nz3VZh09FJcePds9ID3OHyk9hHMwPbyPMD0wXjk9Uq5APQicRT3Isjw9TxIpPbxoIj3CUCg99/w9Pd4kRz1D60098MRJPZiYTD3GpEA9QOYxPVgnMD2TzTQ9qSUmPXeaHz1FeSQ9Gz0qPeCgMD3/Zzs90vFWPS/NSj0ut1M9gw9lPfKtST0QplY9fFJLPQQTOT2kIDk9aW0qPYncJT0PwDQ9c6xDPfZ4LT1LmCM9GvMwPXrxTT23pGE96DFWPc2xUT1dMls9NSFfPZhjYj374mw9hlZjPS/VRj2JkDI9bnlHPbM+XT3rQV89Re1WPd1Gdz0f0Hw9bmppPYwabj1PJFw96wpoPR3UUz2PDEg9f/pOPS42Xj0fpFw9P1VLPeQJMj0Yki89ymwyPXZfNj3Q40k9nyRiPeu6Yj2RfE49FJREPW7WPD24/DU9vIY5PRQUST2FvFU9DAJSPegAUj3GVVQ9jl9SPaDlWz1U2VQ9Fb9UPbDmTj0DCF89gbpzPYHUbT3Bv3Y9fOZgPXoTcD3o43U9ggd1PZ7EbD3Vp3k9RSxnPQotbD01b2M9odhaPSDLZj34RF4954dAPQr2QT2BlVg9vKxrPeYhYD3TWVU9+KBmPYepYD2cIWE9Kl1lPSEmfj1z+409BLGWPY0SgT2u0Ws9mXxNPffHRz319lc9cehrPcnThD1EEY49rSGBPZYbez3DEHM9pGx5PVzyhD09hoQ9jxdrPfl1Vj0do0w9d19YPehHXj2feF09AdZpPU37fj3fmnw9ICuOPSwpiz2RzIM9r/F+PdO6aj2cvFs9gaM4PUl4Kj2kTzA9HTUvPfWPNz1yDEc9LMtJPXS9OT2oWyY9K+MmPZqBIT1u9yI95IAVPbM8GD3/jyc9aZ8XPehbHD2r7x49BN8oPa9HMj1vBCo9ND0uPfJSPj2VkUU90nJDPYmMOz2s2i89AAqYPUURFz7wqqc9LQ8kPVTFGT3ZBSI9GV0bPaUJBT0zjM8825KdPO8Pizz1QwE98P4VPeTNAz7zEDk+7ZMkPlxVMT4+YDA+blUyPta0Jj76fig+B2UnPkEOND5Tpzw+LmlDPuJqQD79XDU+GrcwPgnIIj4JIjM+LmZNPqA/Qz7Yvio+J3YnPryUJz6odEs+JUJaPoKeKz7FeUY+DPJbPqv6WD6moDI+/fFEPhoSRT7kSl4+qv9WPhwWOz4GsG0+/yVxPo67Rz5QJT8+5qc+PsgFNT6x8zE+LAQ4PvVzRj7+R0o+V6hPPoeSRD6JDUY+BU1RPsTOTT4Aj00+ePxHPnGCOD4Do0Y+hB49PrOgQT7hako+kWBEPgBTRD6F30c+oe5LPqkTTz5dp1c+ba9cPrnkRD4Cyys+Mwg9Ppf/Rz6EV08+3BlLPvNoWj6B6YI+M0E1Pg0lKT5pCyc+3HQjPoX6Jz5n4iE+ntozPuuPTD4Pwz4+dvUtPiAdQz6ex1o+OhJYPjyEKz6VdBw+ofkePlEaMD6LD0Q+u4wuPpzjMD6VoEY+ZCU0Pr7xNT6cBEA+f+00PqNiJz7/uC4+YboqPt8zMz44eDg+82M1PlBlND5qwic+RacVPkcrHz77DiU+sLcjPu5KMT4tHwA+hMcoPgstXD4hNDI+R6UTPmixGz4VICk+6SAnPpDiJj6S5CM+PwAwPo43KT4yIhA+HcAlPrdjNT4CKzY+J0onPl2gHj79MSA+Oe4fPp6xJj70GTA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2BDSD7oEeg947lRPTrDQT38Qjw9gQw7PX3DQz0sLkI9iyIvPc6NLj1mByU97c80PaaiRz0kTEU94OYmPXHOLz1x4is9jBAjPY9tMT05GFY9tfRVPe7VVz2C6FY96s1aPdNATj3ldVc9WDtTPYdyTT0Z4UM9vNFTPQg3SD0UyE09CH9RPT4UOj2K4ik90DJCPVzDUz3xlGI9ZtFpPYX8SD2E2TA9gGorPRROGz2ybxI96k0PPXTgHD3JNCU94vApPcCiMD2tbDU9uUQtPRpjGz1XACE9MpcjPe6VND3m3yo9/6sqPSezOj1D7jI9olk9PScUOj0dkiA9WZghPQDoLT1yuTY9sXlGPTf6QT1aFkI9j31HPfAbQz0UPD89FYk7PdviMT2KLjo9v+88PVY3Oj3t3D09gZJAPQFlNj3sikU9/oJKPaF3Oj19hDc9MCNKPf1vUz3MB0Y9e0k4PRmaOD0SAzc9zqE3PfjVMD2TRDc9hxg0PS1DJz0OZTg90SpFPZASTz1NSUw9suhIPa2nVz1Wu1k9uCVYPS5vUD0RcUI9Ug9SPYaATj338FE92ORkPXpKZj14rmc9SD51PZLOdT1abm49b0xkPcp2cD1oSGg9DcNEPffgQz1fZUs9kXtRPdMLZD1EF289jwdcPUuUOz3IvTs9R09BPV5OVz3XHlY9l1NLPbV6Tz1wNUM95q44PStMRD1k6FQ9K0JbPaS2Wj0Ltlg9nsBfPUZ1Wz3H/149onJTPfbsTD2UEEU95YZUPfLlVz3bhWI9PMtoPb2waD1tz3A9V/5zPSnMfT09EnY9ldttPYLyZj1JiHE9PzmAPXcqdT2o81U9Pp1EPXzkNz1vkEM90gtPPbIQSD3KsFU9C5hMPWgTVT3EIHM9StCFPeQthD0e2Is9pLKPPQdifj0DmW09S1xaPfOiST3gBE49rphQPTKrYT302Zg9LIC0PY2Poz2u5pE9Eb2GPWqudj0BdWU9R/xWPeeYYz3601w9CuNKPdPJSz27Okw9zlxQPcxNXT34DWM9NLN2PcjDiT3Jl4w9A5SSPRa6hD2un3I9VJBvPYhsYD0neVE9ssBIPbm1Pz3D7zk9W/1EPcqjQz2Z5Ew9cKMzPVvMGj0F7hI9ZmwYPTK7ID2xYB09pWwfPRHKDz3xShQ92bUVPVTKIz1/oyw9QzItPdxVLD0PMSg9iUUrPUAYNj3nBiw9uH8oPXL1IT0PdCM9VPYnPXavOT0DuzQ9+v4vPUhwKj0Koh89ZxcaPWhh/DxUrqc8pGyEPC5/hjxF4xM9+6pPPTGhND5PZ0Q+M/siPh9MND5yakM+ucolPlLkKD4Exh0+fIkyPukAOT5zQ0A+sDg1PnjzNT6yNjI+BtMwPs5+KT4+hy4+iIEpPrbxKT4qEC0+R0AxPkFOLj4OMS0+YV4/PoHlND5cDFU+7IVePqOgTD7QYU0+uwBGPlx+Uz6gLUg+frM1PhlLOj7QCEc+SlJEPqGvQj7l2k8+mahRPu22Rz52hjo+KCNLPp4+Tz47iD8+3YZAPn9/Sz4i21c+Gn5cPsIBUz7lr0c+anVCPnsEUD4IvkM+osdPPkAuUT7kEF8+1a9fPlfQPD7Sdz4+R05OPnx8ST7r1Uc+csp8Pp6KTj7bXgw+kZkzPgvQUj7T0Tg+wO9BPuz4UT6Wpnw+H3lSPsAWWz5XaVs+PYk6PsxJST6sSEo+8qJBPvxtOz7T2T0+8Mg1Prv8RD5AiEo+EOxPPsbcST76wic+6MkpPqBYMj76ACM+spciPrrtNz4BdTY+3IkzPhOEPD4KDD0+sVcgPlQQGD7FGx0+25oqPna8Mz7clTk+co0+PpzsLz6rxyQ+bdcvPryXNj44xBc+X3IVPszDFj6ryV4+t8KgPnozOz75vCo+vYYYPiEMPT63BE0+Z1E+PpscLD6QzS0+C6csPkk0Lj4N+So+o8w2PlRbQT5IcEM+VtkyPs0eDD42nCk+ZlVRPnfMQD4C4iU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6K9Fj5uNXk91ZlJPcK4Nz1U4zs9F39MPTUlQD3l9jA9zjcqPZpAJz2D2DQ9fuBLPTyKOj2e+SY9ECEpPc9IKj09jy49rmAsPZKcPD0dzzM9gFc8PcnWWz1P3V492e88PWN3OT3epDk9XYs8PcVaUD2g7Wc9xP5dPTjjXj2qL109wYZTPY/LRD2RoVA9t1ZQPRfASz2GmD09JdQtPekJKT1mLiE99uwuPeAOMT1+7zM9+XMiPclmLT0CHjE9vQosPeniLj2A1yc9vWgfPVY1JT2K3DA9Sw0/PQiYMT2KhyI9LykqPXUYMz0e6T09Afk+PQnUKT1d7CY9eNw2PUGoMz3wxjU9aAlLPaFCVj15R1Q9IL5QPbKlPz1SZTs9/8o7PSUZNj17bzI9bB83PbvZMT2O9zo9LY1DPeafOT1gAC49wjxAPSY3Sj2JLVw9sUxZPVfvOT3LBD49XOxTPU3UXz0/w1M9J6BFPejqQz1hNz49pOAyPXarOj1Sh1Q9n5lRPcOuTj0Pi2I9bpFRPVf2Mj3x0T49dOY+PeQyRz1w80U9GgRiPeEkYT1wPEc9OR1KPTYmWT0+amU99WRxPaJvdD2Lmmg9FFJcPVQCVj0ZMGU9GmdnPa78Zz2Bx3g9UclyPezgUT2PsUs9hw9CPV2PPD08dEg9V2VdPTccaT0oPWA9KqZRPS3xVD3AxEg9kjFAPXGRSj0ZhFM9AvZePSUMSz0aoj893RBIPROmSj0L90Q9D649Pd8PTT1nn1I9kn5UPf0SZD2nIHM9V7KCPZkJfj1/lHQ90bx8PWgRdj18HHk9DCt+PY2ZbD3R6GA9ki9qPdziUD1ygT09SR9MPSy/WD1holg9ERtFPQH5UD0ExVs9mj1sPUU3iD36JYg9jRSFPd/agj0YUH097sFkPaIWUD2cSDo9vKE0PQhEQz0CxEI93SFNPStCYD0cCGw9CwZrPbHWZD2uFYA9kJl6PRr8YD1Ebl49NANYPXw2VT1rdlo9I89cPaP6Xj1OWUM98lNNPSGSUD20akw9BH9qPQw9fD0st2498gFtPbzeYD2nI2w9VUFlPau3Zz2o2mw9gQNkPe6gbD2buU89FO03PbheLj2Ngiw9l58ZPQg2ED2y2hM9ZccXPX/1Gj1TXhc9wbYUPRoWHz1qbR49CuobPRK+ND10IEs92ZAvPehvLD3QrzA9CxonPQ3cLj3udTE9CZooPR8IMz2HnzU9Ey0pPaAlKD0cFys9/t82PWXgFD0ujN48xza6PK1WnDzlvaI8buynPM1Ivzwp3O080wKnPVX3XD7INzk+LO4XPkD6Gz5SUxw+/eYkPn5rJj67Zh0+ix4vPotqNz6cl0E+fKw3PnaZPD5jezs+YfQ4Pt6bPz6fHEI+sHsyPrNyNT4jSC4+ZcMgPo+6QT6E1zg+QgZPPjjLVT7P3mI+GAtcPkJIPD7+fTw+FoMyPkQ8OD4+nyY+SLMnPthUIj7l0zQ+LVVNPiEdVT6Fpkg+SIA4Pk8mQz6yfF8+MqdWPnlKTT7Cckg+SkVLPjEYQD6vrFk+BuNGPm36Tz7m61k+mh5RPmV5RT4LVUc+6F1NPjPnUT4eiFM+hXxLPv5QRz6HLVI+Z1NOPjA+RD5m/0E+zphNPnvqKD5Jox4+8bRJPnDYRD4tfjQ+sT9NPo/RWD4enXk+kaBDPjaoMj7xMjg+iAg6PmZ+OT5RxD0+8wtLPrucRT6h5kQ+JcNDPmMmOz6s1Vg+LaVQPmfrPT65MjM+PzUhPk1GKD4J2zI+ciEpPpzsOj5j9i0+GowvPqgHMD4/kTw+EmUrPkYOGz5LLCg+JCY9PqutPT6Q4Tw+p9kjPpplHz69sjk+0DYuPvH1LD67yjA+7CAxPpSiMz7voT4+DGpFPqDWTj7iaB0+464gPieUMD4lmig+HYcyPk1UKj7xziQ+PegvPqvOLz4EcC8+/K8vPkuEPD4bLz0+jwYoPu3BMD6cnTU+RrU3PqYSPz5WFjM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+Eo4Q9v59ePcMfVT26IVQ9ddJOPfsxMz0Zmy49Yfs1PXmAOj0ih0A9FcRUPTJlWT24Kz096IAfPaO0Kj3z4S49oqwsPQCjMz13UDg9deFZPZNVYj3yJUk9+dsyPRJELD3nCzg9ZWw7PZySSz2/tV09luBjPeWgcD0F22g9EMlLPUuwNz0v0DQ9/C0/PXhoOj2WEDU95tc2PYOVPT1bllE9//BBPcynKj2IdC49OxQrPZFjMz2e6TY9gk0ePTT3GD1MNRg9uC4ZPTb2JD1QyyU9E78dPdKVIj3Mmhk9JrsrPRs6Nz2EcTs9b31ZPfBAVj2IIUY96ko9PW2QPT1ghUA9Q/tAPclvUD1HejQ9K+0lPVZiOD3dJDQ9xNczPa4/NT2w8Sk9afAfPfb2Hj17zy49OdU5PfrMOj3UVEY9fd1IPZGvVT2xB2c9vBxIPcA1MD2jbEM9sGtNPeusOT1MZEI9jCFLPRWEWD1HEVI9SERKPUTTRz3iskI9/pBOPVIbTj3ARlU94yk1PahUOT3WKEU9wm5YPV+caD1dy1M99u1WPW1gXT3sr0Y9n8dQPeUbWT1jOWU9/xxmPR4PWD0JxGI9uqFwPba8gj2pwYk9pN6BPQ/5cz1Aemk9ru5fPXL7Zj0P31c9ejBVPeOgOT0YBzk9XSlPPQcKUz0qjWM9JlZoPbsDWz1bxFU9aSdPPZe2WD1CjWM945xiPcICUT3kbEQ9r4hOPVfRTz0wIU89kjZsPXjNXz1hOnw99omEPV8Lbj2EW2g9BaCBPT1DfT2dUnE9U1xbPTxyWz3531A9Xq9FPW1TRD0CIEM9yL1DPQEiPT05qUw9QzVePZ7raz1aYWk9YNBJPZzEVz0hLn09vB93PZqjcD1VcXM9gURnPQaoUT0OOUE9kvopPZ6YJj2l/y49mlctPfkdPT1j4EM9eZNCPRAhTz1l8ks9cbFYPS3aYT0q/mE9HHVKPUKTTz0EOFI94X5DPZbdSD36bTU9+EY2PbG8Pj2sjVU9TyJNPT/TRT2Smkc9pR5aPR4PfT0/Zn89VvxwPdh6bD1F6G495V1yPaYhfz0hvXY9gMl0PRA0bT0+f1M9+qQ6PY7vHT2MdxI9H94PPRVPED1dChs9KM4cPUmVGj1y9xg9mAwjPcfCNj0oFzU9VYE2PQm8Oz0xMD89O0k6PZlcNj11jD09IYZCPV52PD0sDTk9QMouPZM3KT1w2i49HEkkPbFSBD2K2ec8D9PhPNMOxjyVZdk8QcXrPKO79zz6abE8VK7yPFhXDz328DE9Ou0tPoEzVz4TtCs+XasiPs/vIj5FHjA+Rys3Pg+GOD7ZLC4+iSEyPrAKKD6QZC8+l8NPPotpNT51PSE+r+QoPj55NT42Bjk+iVA5PiAHMD6PSTw+jH4zPtsfNj6jMFc+Ex1EPmJRMz4ucUA+O4JQPmVNVD5lIGQ++v9JPsY0UD7RKUg+0IQ3PtO4Tz7EMWI+7e2CPuZnXT4kGVo+TrQ+PlmzSz7APEw+Re40PqdQMz44dEA+c0JXPgU1Uj7z9kE+8s1GPouhXj5CMlw+MzQ+PrdfOD61kUI+/oNFPtzoXT49Sko+RF9bPjC4Uz6Qa1w+50p3PmisVT6mEDg+qddGPurZPz6tpk4+m4VHPihiMz4USTo+BVxjPkp9VT6JJUY+so9DPiM6Qj72rFU+zYJbPqyxTD7KuyU+n6BZPkrSgj5qsIk+7mqHPiY4dz76tYw+zW2EPoEpMj5XWzU+VcowPvKcPD4m4U8+PQZBPoVIRj42W2A+zC9bPuk8Pz4IjzI+x8E+Pl6jOD72vDQ+q947PjiqOj6X2Dc+VBccPkZKDj79WA8+g+ovPjbMMD6ZKB8+gl8VPur0Nz6i8kQ+H5AzPs5IND5ar1I+SSVZPk3iND763yw+TcsxPpL+Jj5BWCg+OBw2PqAgMT5N3h8+bIAdPl9vMT5B7jI+LPsiPti4LT5e00U+ze0qPra1KD4qjh8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH99rlM9zogxPWM3QT0b+lg993ZRPePOPT3qRkA9da81PfGeOj2Etjw9eis8PbvWPj1C6yM9onIePe95Lj0uOzE96LIrPe9PND10JTk9spI5PXI5Nj1OPjU9SxctPUOwOD3lyEY9n1RMPcrBUD2FWlQ9OqZoPeXEhD1AlmI9RYJNPd0eQz2AmUc9O3tJPUKfQz0C7zk9+ZVDPSxmRj3wzDs94OYzPbPgLD2wvSg9VagjPYy6JD3U5ys9A/YbPSjRCj0aUB09f9sgPU9rKT31sSc9B54uPZ9pMz0sjkU9PwNBPZPcOD0Oi1c9qaNoPWn8Uz0i10o9riJAPazRRT2VBC89IsMvPSEeOz1haUE991hFPR2xTT0MKD09Dc8vPYnaKD29ECo9AR4vPY3dLz2P9DA9ggIzPT+iPj3y3V89onx3PUGfZz1TiUk9s7Q9PTAGNT2tTjs9j7pDPTSFQD1CXUM9TSprPd1qjD3gAn49s1huPVPpVD0O6jo93mE/Pf+CSD1q+jw9k285PbIYOj3CKmA9abNjPfdkXj13umA9awlhPSTdVj3zhFc9gVNkPb91XT1HLWM915BpPcz6WD3A1Wg9yFmAPVIWfD0/mV49fwhsPZx1dj3FsH09JmF2PZghYD2NNVo9K1NbPUItVD1+m089hy9ePcynaj3hIX09+GxkPZEUUT1J9WQ96GRmPWhzRj3lNEs9sVBIPcg6Qz2XAkg98ohOPdQkWz2pI1s9pt1ePfLHaD0Adog9y75+PVLBYj2/u289SHRvPTbkUD2W0kE9o/ZFPSLCQD2r7js9fl9EPVWAQT3bfko9k/pgPWscWj2a3Fs9r05jPaXcaz0W+Fw9+dFcPQPWZj2Z92k99RtmPYD4WT0QTk49PE5GPcUtOz0PLUk9WzZIPSw4ST3V90c9VPdMPd8eTD0j1UY9SsxGPQt1Rz2a01E947RYPbnBVT1S+FI9T3BDPfpAOj1S0T89cioyPe2EQj1fbkg9M4BLPe3TXj2UJ0094udJPSDGTD0mW2E95MJuPYSabT1Jrns9g3eBPX/Shz3xYYk9RCFwPaxyWj3BQj49adsqPT5RID148CE9IMwaPYK9Fz0d+hw9dNsZPe6CGD3gYBM9IhgdPd3yIj3+biE95fUvPUGzPD1J4jM9VAo5PSgkNj3nnmM9alRoPbDxOz1YHTc9JDc6PaTeNz1LJDQ9+/MkPbbWKz207jA9MPX9PAebrjzYYLA8gdS+PJlmxjz1DMk883rMPLnkyzz9d8k86J8LPYJ/DT3hn/I9NYBcPuQ1PD5sIyA+MnMjPmBAHj4nciw+Mf83PiEGMT6Gvi8+aww1PoRuGT7ugVU+ACldPkHBUj4mG4A+bZBFPl+iKz5mdTE+IOo7PpqnRj4c7zs+ERstPgxKUz7IAmc+BKlMPtqiXD4PSG8+XAdmPvrdUT6yYWs+HatdPu8aSD4zSE4+ePAxPhDqUD5FKoo+RNOPPsZTYD40304+F1A9PhVHRD5odDk+KPNFPkLnPj58EFQ+x6k/Pni/QD6GRj8+OxBJPn2KZD7HymU+RmVCPiDFMT7Jr08+6E9BPsD0VT5sRlQ+KbRhPiQAXj6KkUQ+D2NAPgh6VT4MRTg+rgNEPgw9VT4xvU0+kbxEPrwGPj4aOUU+CuFVPqZDOD5fJh4+nfBPPvXXTT4lUEI+6exLPuK8Mj6dwSo+PLFAPuvCOz7fvzM+6mBUPkhWYT67ul0+qy49Pq1bNj5lHTk+Xb8mPlpuPD64zFc+btdCPt0IYz7T63k+dhdhPgV9OT5mczg+scU7PmzJOz5GakU+6NEsPiLGLz6KWS4+6UQTPpLPDT7MVCk+vcQ+Pl3BNz6TJiM+7kkWPq9pFD5vzys+KRE2Pq6eWD7wmjc+YDYvPsJMLD4dwSE+U0koPvv8Iz6xqCg+qmItPgVfJT6bGTY+ZvlEPk9dHT4kLBw+Dy0+Pqk7Lz41jw4+kFMLPl7qDj6nWfc9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8fvKM9s1NHPQuXVj1dC209syFPPdaUQz3kGVI9NsBXPTXNUz0Ty0Q9Bk09PSe3Oj1efz89xr9CPQZyRj330Tw9UJw/PeIOMT0sdS49n6ctPVDOQz3fUkQ9oEo9PbysSz0qlWA9kzZwPRjnZD06k2I9AIp3PV6Yjj1Os3E9D7ZYPV35UT2m0j49Wk9GPS6gXT2F5Dw9lhsmPX/BND2TsDc9CjgtPUwIJj1f9h89orwlPXv1GT2frRs9DkYYPUYXFT2y2w89YX0gPa4HKD2a3Tg9a/lQPbuvPz1FBUE9WatKPZ/dQz1VFEc9mYA4PT9INz1cIjc9XFgyPROcMz3qviw9VhIwPSwhNz1T81A9/FJEPQnVNz0vki09YsBCPVXhRz2AsUE9FEc+PSBqQD2OUDY9CPdDPVIbXz0pAHg9bKtvPVm9Tz0hhEI9lK9DPW70PD2jfD892yZHPUV+SD1Hk1c9cKZoPTUdWD0jij89D4wzPfi3Pj39zTM9MDU1PQEvPT3n90A9cMRKPe7OUT04Klk92ZNqPTsBYD28GmU9dipvPbxFcz2YMWU9HXVKPSjuTz0iZF49k4RaPbndVT2qAmQ9CQh1Pcc8bD0ApGc9vNGEPSTjhT1gCHY9ALNYPY8DVj0HulU99hRVParnTT0HmE89r4dZPYWVdz1hvGk9IadSPQ5wUD03ZU09sepYPe43aD36tXM9IXpmPQewYD09M2g9fyNNPT4mWj1043E94nKBPROjej31amg91SFcPZnwWD2F3UY9BPBGPYovUj2X11Q9C3JQPdF6Qz3m9kY9gnpHPbOQUT2De1g93oBiPdw9XT2hbl49zhZ0PfyWaD0Bhlk9eUFmPawzaT1IkGs9Qq5bPUscTz0JJ1o9UzFlPaBRZz15qlI94XJCPeNdMj31oTk9IWtFPYUXQz2jhzk9DE1IPb/2aT0NB189r+1aPXpTTD0CFU094qdOPXjzTT2nlUs9WqxKPX3aUj02QlA9OadRPW2/SD2IYlQ9EsFYPULoaj2C4Xc9qQNePTvKVz0IN2I9NepjPcowYj11ZVg9kchCPd/SLT3/5Cc95E00PXMkOT2KFCM9BSgePXIoFT14/R09UfUkPWn+Iz3QbjM9jX8oPUORIz25NiM9ACsxPUpHLz0keCE9o+8oPWpUND1Eli89iRguPf47Iz0z5ik9K4EtPQU0MD3C/io9MvMZPYGWET274Dg9PCUwPR7xoTyU0a48Rt21PAtPoTyXcJ08O/msPJ7GtTytu848HUIWPYsQtz1itEc+Mc1EPojZKz5RliQ+/Q8qPgzTKz6TVS4+sWgvPoGgMj79oCo+5cEvPl8NKD6ABzc+K4JsPoe9eD7t4kk+nSYvPneEPD6CzDo+9thOPijOVj6mY0Y+9d8mPnLScz5tXYU+ixJHPj9yRD6bqDQ+518/PgUhPz6SJU0+5XI5Pqy1Oz4xGTA+RYo5PkkgPD6IclQ+4IdSPr+1Qj6oMTk+TflBPgBIOj6NuTE+ZC0/PvRxOT5Tlzc+rPE2Pg3VUD61S00+eLtDPp8xQj7Cn0U+VTBRPq7zNj7FoEc+9/M4PqvBUT7+ZVI+idJePvzhXz5kEEA+1Aw6PpzwPT60LTQ+1CVDPqsgRj4hd0w+v8g/PkrvMj7GFUg+MFVKPnywOD5oKzo+ytRIPjO4Mz54wEk+tno8Psb3Kz4T6EE+2LE7PnD6Ij5nvy4+SRRAPhrFND49lTw+7cMvPp6mNT6GGDo+n54uPsudPj5mXUY+kAdPPkracj60TVs+Ssk3Psd3PT4ehSw+hS03PjYwPz4LajU+cOovPjadOD5XtTQ+v7M1PlMoLz7qfCY+gocqPo/mKz73bCU+xacrPijWOj7qX1s+3+JJPpNIQz50yjI+dEovPjKeKj4D7Cc+GwwrPqvSNj5IMjM+sslGPl2JPj74fTM+0tU7PkXtOj4SFR0+fC0dPvlUCj7hofM9XUryPSx0Bj47DhE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9zPZ89WPxfPQ3TRz2qUTg9E9pRPRmMWz38vF89tBJIPZVjOj3L0j09j/Q4PbyNNj1ypjg9DQc+PQcpOj26kDw9y7A9PT6dKT1u5UE93vBSPWMcTD0dHk89HRFkPZF1YD3t7189UAtlPchBej3TCYE9MKGKPUdKiz3fnW49j7RNPX22ST3tq0c9YVlCPWITOD3SgS49eRwyPSrfPj09FE89ZYJLPUNXIT3JkBM9eigZPSwWID3JJCg9q2cmPalDID0A7x094vwuPe+INj1dfD498Y09PWCCVD2Xh2c9o8ZfPQxBSz1ByCw9WQEqPapqQT0zZzE9NjhBPS/7NT3j2Ds9RmdEPYjURD24ij89VQ5FPSViST1XlGE9bDhnPVx0VD2HLkM9IapGPeHaPD2iHj893fBSPY77VT0fkGA9UGBRPUzDRT0kukU9nAFcPWQJWz0Y1EA9SNJIPRZtRT2vYTc9SlY2PVUDQT03lTs9wHkqPa73Mz2KuD89PlZAPUpFQT2Ajkk9OUBoPc1gXT2c81U9pe9mPegCYz0+9GE9+yl3PR6udz3jRmY9prtjPaUzXj3J40g97k1GPQVrXT2KBnY9hTBtPVwVez11H3Y9qBlsPSuxYT27d0g9P09iPdYKbT0UdmM9nHVUPb9lYj0C9149b/BSPbC/TD1L4D492lI5PVeJQT0tlk49jRtXPQoHYz0wmmU9Ji1uPURvaD2C/mM9DcNdPdrmej3+KXg92pJjPcWmQz0wpTU9WYtFPTsySj1Y5zo9OT1IPU6tWD3p0lM9KFVEPScMUD061Eo9LWVFPV/tSz2LqE49O9RaPZPSaj1LgVo98vddPaK3bD2mwWc9j2RtPeGxcD14R3E9zcxcPTZ/Uz0PImk9lyZxPV2UXz2+JEU9CMgyPYKHLD3UsDI9cJJAPUm5Sz2mTVM9AtJdPU5NWT1fRko9+O1NPdE5Vj0KGVk9OWxVPTR8WT21QmQ92/B4Pb/yez09N1k9CTBPPSDhVT2mElw9GhpIPddBTz0L2Vg9FsNAPQ+PNz2ZGj49wbY5PRnqKD26Ajg93rM+PaOfNz0ncTI96ZInPbcRID2LlCs9Z1ExPT8nLj2WHDo9/uYyPSyTFT35xB49fpcePXy4Iz24Biw9CIEtPcPEHz0+GRs9SykfPckjIz1uHSY9QX8cPbyRCz3tcAg98mcHPVwjBT3/UwM9P2bpPA9W8Tx+AiQ9LhMwPaPbmTy6lpA8YQF/PJ1pYTyzuW48t6haPYPMoz3xUWE9zIvuPeqxST414kA+nd4rPnfjJj6qeSo+MZMsPj4sRz7z10Q+HAM3PuQwMT7tuS0+bXswPu0ALz6FTCk++powPvgPHz42HyA+Khs3PjILRz5t1Uc+o/hWPqRsZT6zVVw+3dJOPh1OQj4GDkQ+82BIPsVcQz4p3Tc+dZRMPpbKUD49R04+xXtVPlYxVT55gjs+v65PPlYwUT6kzVk+q8RcPjn+Uj68GVQ+lAU+Pn4kRj5nzjs+AeYpPjBCXD6Zplg+EQgxPg56YD4BjlE+sqxWPmG1Wj5UOVA+lmw3Pu/OPD5jlDM+skU6PgJvST5o4jk+teA8PpENVD4C81c+ZtRFPjUFQj58JUs+SMw+PjwcRD61AUI+hTozPi75KT6rjzw+BXRLPuM+Pj6ABzo+5u03Pgk/Lz7IkTg+bJA5PtDuKD6c5yQ+Rdc0PkgAXz57z0c+FBYsPhoqJj4liy8+FkIwPhMyLj5Q90E+ViFUPowBRD6VDCw+cakkPtzhQT6t6kU+4JJaPs51Zz7hU0U+Sm42PtwwQD4RaDI+2WYxPs6WJz44Tjk+ElhDPjgiOT79SzM+IfQsPpnMJj7fjy0+MUhGPl2vQz4EXUQ+WvE8PoLCOj7NPi0+rbkqPm7BLT7hRio+bl4zPl7/ND6YuCw+0p87PlraNj4pryo+FsogPm0wIT7bdCk+2g48Pib9OT7xDDc+7Lg1Ph2RPj55RDw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9/Tcs9vrplPdR2ND1oPkY9SplJPQq8Wj3XXDU9LMgnPdx6Mj3K4jk9D01MPdsJTD03JUk9tyNHPRX3PD3H5zY9ovY1PdScPT1KyVw9UFxRPR7kVj1Cx2U98k5aPdDnRD1kLlA9w3pmPd7ffz2HEXo9bdZ8PYljZz1s1U89DRY2PdHnNj3m7TM9URY6PcZ+Nj3i5z4974NCPXm6UD3H71w9OxBBPRH3Nj0gbiA9aVclPTGJNT0sXzk9u/cxPe0lLz1QpDE9uwc5PR8vLT2qpD49UdpBPfFYRT2BNE89ODk6PWhHMT0+LzY9jboyPTybLD3pECk9oyEpPZAuNz3xaEY9R4FIPTD+Oz1PJi096N07PQWFWj3Vqlk9XDhHPVH+Qj35w0w9kylUPU2HTz3wcVE9eixTPcjsPz2LFEI9ipdXPXe5XT2NPE49gBdDPUKRQT3AK0c9bgVFPYHQND2bxCk9Eec5PRviRT3rrj89xg0wPVj4PD2zaUc9NAM2PWY2QD0+dVU9M2NdPUrNWD1Ip149P12BPb2Tez3XBnA9Mo1yPe7TYD2p4E09wTJcPTAQXD3HZlk9RrBcPbOBXD2gCHU9ObdvPXtpYT3N3UA9JQNaPR0FgD2oZH09sqhsPX/ZUj2pWD09maNMPS+TXj0lEEk9yaQ9PUJwQj3xX0Y9YnA8PQsoRT1WYFA9Eh9qPbcZbD3ohVs9LA5gPY4zbT0Zsm49ZwtfPY8tXD06+089oFhEPXYWOj2MUDc9IBFIPdIhRz1vyT89Y1hYPTUfbD0keUo9F40yPTLuNT0pMTg9ddFMPREJWT2OOlg9DPhlPaLEfT04bn49bht+PQovgj2KPHw9y8R1PS3Jaj2kq2E9LsFYPeSHYj1c12Y97CRNPQD1OD0yrUc93c5VPavLQD3i2jk9Q042PUnOSD0zkz09FEdEPXdvSz0WJF09JLlWPcocaT35GHY9v9xoPfo3ZD0QF149CDFaPSElWD3q7lQ9N4pcPWRCXD0MgUA9srkrPeL9Mj0PKUE95YJLPTfJRz0Y8C49rvwnPWw1Lz0L8ic95PsvPfQBMz1JkTQ9VX0tPSW0MT1IJ0M9tYg1PUR7JT0quk09HxgzPVetHT1EZRg9c9gSPdiQHT3r+Rs9BcoVPWL2Gj2jhh89ODgVPf4xEz3Nggc90EYDPf9T9jwqhNo82CbOPAVWyDyT6cQ8YUYZPWRi9T0ErDE+DPkSPuIKRj2ln848gE3sPPhNID0K4U49L0TAPUgzNj5WnUs+rFMmPqM2JD5tYSk+DZ4gPjDcIj4Ulxc+PfAhPpg0QT4NjEc+LmI8Pn+sJz4UrSY+paA6PiYiTT78dD4+HGU2Pi4LHj63XRw+wEY5PqZcOj4r12E+BPtfPkJMVj6nGUg+EaRHPurCTT4Iplo+gUFBPns2YT7OW1Y+bSVLPkBzST5w8ko+aWJ+Pj/vmj771HA+W1ozPj/USD7tm0k+EuBMPp+MRj7EkWs+cG1iPr8KPD5znko+HmxHPguwYz6oiH4+sdJGPt8NTD7gelk+/h1YPsKrej4nYkA++uYpPqpkRj6+lis+KCczPvS9Tz59GT4+xv1IPsSeQT6c7UA+I3xKPrlDRz5E6j8+mJMtPvsKOz7HqEc+GKc/PpC0NT5srUA+EjFEPkr4PT598SU+enMdPo1ZKz4YEDw+qJc4PlwxLT4Z1Sk+G6o7PtnPND6uHik+hwU2PnXAOD72HCc+c3AnPqZgMD7hhlc+3ps6PsgwND7QkRs+tWkmPvyENz7DnVQ+PjlEPlr7KT7zyjk+b7lLPn4pPz48JDs+VistPp3HHj64CSM+iYdWPn3cbj7gC0U+orc1PndTRD43uzg+CmsjPmFeMD5Rii0+pD85PprzMj6RUBs+NNQjPqK0QT4ZHSo+tEQ2PvMwOz7oFDw+sdU1Pl8+Mz71QDI+5mwTPizmFD7eTSA+1x8aPoTSID5ZBSU+L6MiPtYYMT51XTA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8wOKg9QJllPWdvRT2fXT49CkxDPbqzJz1qHiY95WcrPYpIND1qN0I9hHpVPQYOSD3ub0M99aJMPXhqRj1t5Do9wRw2Pfi+NT0Frlg9oktqPSarWj08oFE9kilEPTlYRT24mFw9bptkPWlWdz2EyXc9h3FgPUWZNj3RRzg9Q9pEPZhjRD3EqUM9GmU9PXJBQT1JtkE9ndtEPT2wOT2JjEM9xNc+PUdMQD2b/UU9kJM9PUbMTj1hhkw9KFEzPbf3Yz3GGmo9AKtCPfGqQD067EI9T383PcyHJj0qOB49E+wxPQEiNz27MSU9ztYhPdjuHT2v2CQ9yNg0PXfmOz2xwjI9i+g3PRaoRj1Hkkg9RwxGPdBiSz2ba0U9rPk+PWFbaz2QcnY9f9p1PU37Wj3xIDc9ymQ9PY+hQT1qe0M9yi5NPT2wST0cskQ9E1RMPRXWUz0tOkU90AROPX7tQD3vmDk9zLc1Pbz2Kj2UAzM9wghPPaUeWj3gG1k9JqFOPWBxTz0xSVY9uUtcPQHHXT0oynE9qAuBPQ1pbj2GMXI9Vxh5PT7Acz3gU3Q9bY9oPZ+1XD2I72o9qstyPStxYz3lsVo9J+JaPSREWz0OokI97npiPSqQbz0OoVw9cWtHPd6XRD3UUEA9EXBCPYuVPT0JwTg9AuQ1Pa+lMD0HAks9GoFWPayrUD0rdG89EeaJPcucbj3caHk9Y5tvPS3rYj2q2UA9G2MwPdlNOz3dgTY91lI0PfiNQD12SkI9aZtOPfYZUj2nf0E9LgRBPWBKPj0RrUc96fFEPVN8Qj0RQFQ9JQZRPdhlVT15cWQ9FLdyPQxggT0vgYI9lGeBPUHlcT0NUGs9kPRrPcaUYz0ozWE9bo1GPfiyRz3G4009iukzPR32Mz2/9Eo9QXVIPRvFND2t0jM9F21APfiGRD2GBEQ9E8ROPXbLVz1hsGU9WOdmPcwbWD2tSWc9AJ1yPbfVYD1IeW89fmtePZjjVD3k/Dg97CQzPaXANj0WOCs9QqAyPY6FOz2tfD89ZOBCPZFmTT266EM9/Co6PYNpKz3+aiY91wgsPX7JJz1ubyI9hhccPbJKGD1rcSY98hYnPeVAJT10Syk92IUaPZWjDj1Pqw49BEkNPZyjBj3OQfw8CSP4PHygEz1gwlA9CD4zPQYMAD1ma+c8dLC8PMJ1qDwUgbg8J/zOPHQjCD24MZ89oNPLPee3hT5ia40+UdJiPm9bHT5x/Bk+7U4aPhxZJj6I/C0++IA5PgZPJj4QFhw+W8saPnLSGT4OYBc+VMcfPpHhJD6OgCI+zKZDPloxRj7ub0g+uthFPnpvKz6oBSE+fHNYPk+/gD4kmEQ+/gE5PqUnOT4+Hhs+WoIrPp/9NT6a/kk+Fok+PhdUSD7gRVM+iRFcPuBQWT6Yk3Q+eeRZPky9Zz5GE18+mKRZPrATTz5oVmA+cE6PPs+MhD6G7C0+RdIrPvqvPz7LgEw+Gn1OPv5GWz6si0U+xGlWPkR4QD5d3SU+zJs0Pp3XUj6swGY+oGRIPry7Oj7WNFA+0p9DPhj5cD5YtFY+9Ds9PgGPUT777lk+x1NIPoldQz6PYjI+hSQ5PsXTMz63rjU+FsRMPm2MVD7sh0A+EO9CPju/QD5dD0U+wXYwPrLCMj4tnT4+pagyPnokMz4FXyk+xZgpPhjxRD4JwUA+Czs4PudNMj5hqCY+UY0sPokuRD7sfjs+an5DPvtpUD5RwUA+WH5BPhZTSD6wsUI+GFcpPuYHKD4B7i4+ThFGPo+bOz5HUEA+VL5BPlRuHz5fx0c+7mNFPolpKT6FWSY+MmIkPtCqJj4iYy0+6AwvPmEQPz5A6oY+tOFGPgb0JT618yA+zvwdPkH5MT7gHi8+X94qPut3KD7ywRY+SxwmPkaNMz6F2ig+gKM8Pt/YPD5+1yI+oMQrPr7+Sj4nPEs+4+ogPhX4Fj6iFx8+qwYtPvtjLT6E+CE+vcwdPiuFHz4QgDA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9whg4+q72PPcTVUD1kKDk9p64uPa4gIT0Y0yg9eXc3PRyJUT278lE9BfJKPYBwPj10kzo9cUNNPWFHcD3gfFk95wlEPZhGQT1YtlU9nahhPV/eSj1bG1Q9XCBjPVHYZz13CnE9ZKhuPcEnYz0VTlQ9Q6BJPc2vUD3NS2k9IfdiPVAANz1GqDs9Wsw4PapJOz2g+Dk9XdgzPVeXQD3IaD89EhVLPZW6Uj1cy0g99T9JPb3yPD381Eg9cvpkPTkbcD009WI9VJZFPS+KMj1EezA9N4UjPVzBKT2Hdys9dk45PZGaPD12yCI9MBoaPXOsKT2jfzM9t45DPd98RT1Kejg9N0dDPYsoSD0L90o9Uoo/PfVSRT1J1VQ9rhdbPVgJXD00+Xo9MKdsPfzjPT0ILiw9P1EjPSpaJT2cu0U9McBXPTbmWT06dGo9lC1kPa7FQD1BQT49mEBAPaDjOD0ujig9pVk8PX2yVT3RPUg9wrtFPVwyTD3B9lU9VFJNPTeDUD13+lM9+FtjPSkxYz2U1Ww9nDBtPdLShz0qn4A9PEJbPU83RD0CjUs9IuJcPW4FZT13Ymw9jYN9PdcdfD3B9GQ9IVRXPYULTz2wrF89xWJhPRPiPT0muEE961NGPdK7PT2w0Sk9uLQgPW0/Hj0Wdiw9Gr8wPXn9PT0vEmM93I1yPXU3Zj3APoA9fe5/Pc5Pdj231WQ98sRKPUzsQT10ND49/I5IPRfDRj1sGjM94x43PXglRT37wz898DE6PYf4Oz3S+DY9TIM6PZkwOT2EqVE9vJ5MPa1SSz0dcVs9Pt5tPXMucz3kCoA9Bx9tPXFXYz3n/l49xgFvPT6HgT0DE3c9kBZXPW6ySj2dFUU9jh9LPTnKWD2iglQ9rgxCPYwHOT0XN0M9Sno/PXBDNj0Uazs9vVA+PXbcQT0sQ1I9fqJXPZP1VD3T70Y9hh9KPZw0VD13Vm49Eip/Paobfz2vR209kNZXPeZxQD0njSI976AaPQynJD31fzQ96dY8PVr2Rz1yIUc9JNdLPViBQT1kmzA9NqUlPaoHKz3tqyI9ThAaPeDjHj0dahQ96y8pPTmKOj1vvDY9PXUjPc6EFT1zriA9kihgPQIaPD2pvgs972sRPVOuDj1MuhY91eoRPXytEj2EjYE9K3x9PVmAAD1iyLo8xfGSPBbQjDzjLKU86EMhPWPsmz3CXlY+RzNWPknwMj7hzCU+mtsvPiMOJD6hOkE+3TU7PpvTNT6OfCc+BnonPgkqHT7MuSA+I6IqPkMeLj7EyyQ+Ax0vPpc6NT4BRGU+93RnPnA2Vj4vs2k+/xBYPpfCQz4Ci0w+d9RKPsPlTj6uK0Q+XLpIPu1qOj5nFzQ+QZs+PrZzTj5KUEo+Kd1GPuQgZT6dcYI+4i9oPqvcRj7QTWw+l6hzPtfHTD42/08+svVPPvhgOD7CXkM+3IdJPkK+Pj516kM+dBxHPn0jVz58Flw+sKJUPlOPOj5wDjY+G8tFPgK2ST4sPB8+UlkmPnJ/Oj7hel4+mvA0PutyLT4eKUI+8n5MPi1BWD7mw1U+SEtDPgJFPD7vcks+2qhEPr2CMT6zKC4+IVwxPvoQLT6TKz0++DNHPlyuOT52tzQ+npUzPnqcND7ZEzM+c/M0Poq3Rj4HLUg+EEA8Pkn5QD6fjiU+1iU1PkJ0RT7BUi0+qaYkPjp2Mz442SY+p1MbPulRMT7n6k8+YOw3Pv/ZRT7UzU0+AjtpPoBEQz5g3DU+MsouPpS5KT54GBc+pvwaPhNANz78mk8+pahHPjYyOT6CPTI+n7IjPtxwHz4+CjU+ZphPPo73MD6+sik+D6IjPldjLD4C9Sw+9QQmPhXLLj6QHyE+RcIpPiERIz5NERk+eC0oPn1tLj4BAyk+pHEqPpdYJj6TKiA+YBkjPqw0ND4UQi4+HfYsPjWYNz4JmTk+Qdg1PnsTOj7MDzI++vUqPuB2Jz7WPSY+nEAhPv5cIz47Oiw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/lWvU9oS+RPQDQST3lpjc98eUvPWYFLj0JSSk9/jYtPYg/Nj2drjg9eE5dPaBJTD00fVc9QpSJPQ+ujz0g9Fo9Tp9VPe6wdj3fgXQ9BQF9PQebZz0o9Hk9I5lWPZeMUz3lzD89Hs46PRtOWz1SZGE9OxJbPSgkZz1Lglo9lk87Pc1UMj0JsD89jhVHPf2qQz29z0U9pIBEPburTT1MWUI9vh5DPbQeQD3REDI9Tx0oPbE4OD3t+ko9ZK1RPcYGSj3cs1M9uXY+PdWzTT3+IkE9kEouPdsHJj1ppS097tcwPVLcKT2XoCY9G/MlPeP4LD1yHDk9QIVIPR07Oj2FI0U9jG1VPbeQUz34LE892MFRPfAaTD2iPUo9mzVNPd+JUz0Jd1I9M0dAPZJELj1p9S09vTxEPbgcTD28t2Y91oFqPVRebD2Ty2E9771PPQhaSz1CcT49oL4zPTqhMD22kj891DZGPV05Sz31/D09nkVFPQbQRT28QUY9CdxQPdeuUj0MV3c9UddxPSnZcj3a6G89yoBYPZnwSz3QhEg9jztfPSVRVz2s4Gs9WEyGPat9jD0cA4I945R7PfBSbj1NuVY9JkhaPRWyXD2mkmM9CEVTPcYoQT1y8Ss9ZDYmPcnMJj34iCk9Ci4ZPds2KT2Yeis9b0UzPQjFTz1CumM9Eph2Pf9ggz3cnn49zpxUPRsFSz2P0Ds9DVkzPTGFND1T+j89k3JGPX4lTD23gEM9D+9GPerUSz30R1A9xf1RPRhIOD2ztjY9zJBEPQU7Tz0V81I9xFNQPSZaVD2N/GA9SDJfPccvdj2ArIc9LCB0PX0bYj3LxXY9/ulqPcEHUT3j/EE92W0yPcvaPT1WK0o9n0VVPdTyWj14A1M9vk1IPRI0Uj0NLk09fW5BPec9Uj3BAGg9G0ZePZqdTD3wdE89itZKPYP4SD2W9Uk9RWxIPbEAVD0bwWQ9TK5hPWUNUT1vikQ9/u4tPfYtJD30Bys9oB4vPeeGRT3QFVE9T9tLPbUWRD1wiT89LDY8PTMqLD2yKRc9QCMZPUBZEj0vkRs9v/YhPXDGID2DaCc9pqAkPdmHJz1dtyY9eAAePaGAHT2BWys9VAChPXCsgj1zZCI9LOolPXDVvj31YxQ+YDnuPd95nz31Sio9XT8XPWh/6zwHxsc8E9vZPLZ8FT3+c0M9wayZPf/JCz5Ez0Q+VVcjPmooIz4IzSg+SaMsPiyDLz7kji8+2fM0PjJrRj7rRis+V4gvPrKOMz4cIyw+U8kuPmFgMT77VzY+PbEvPtGWNT4etno+d29vPuTdaj4YA4g+E3p4PgseWT5QDk8+tRhbPnWgKz6uq0w+O3dGPgfNTT5A72Q+crFsPhfCdT6kFWU+9qlXPvfDQj5HEVg+EklmPnJvXz4PY5I+T0+XPpaWbT7lmzI+fXYxPk6rOz4fwzk+EwA1PlLoMD7oekA+Hf5ZPl9TSz6qj0M+kCpBPgC5OD4qcjs+li1HPoecUD5E1kY+J1g3PosHPT5aN08+sF1KPn/GQj5PO00+eeZNPiR0Sz57O00+8vtAPu3vQj6F600+2Z5EPpoyNj5380A+D0g4Ph+AOj6kjzk+5N48PrN8Mj4ybzE+ZQQpPlxBMz5WoTw+r2k6PlOcSD4MYU0+ZRxAPlafQT4Fah4+B5wpPr3tOT5CcDg+1201PoN3MT6gQTY+0lw0PgE5Rz7OOk0+0dFDPlAYQD7ffC8+KTtBPvoxKT4Oeys+6r4/Pi/aMD5gLSY+M9wcPv2mJD7ITCU+lZFIPmMoND4lvzA+4R0yPnzsKj7tejM+I3oyPtUZKj7Rmyg+74IqPq/MKz4eWic+30wsPtgaMj4yhhA+1fUlPpcUKT6u7SU+e1cuPmRvJT6oTiU+RDcsPmBjVj6LiTs+MucsPkA+Kj5QJSM+PBkhPgd2Kj4eGTo+EYBFPhIOPz43ijk+6XgwPsuPLT73XSg+sP4iPtVTJT4KZTQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/zhaY94qOCPUfpSj15uD091LxIPcVdQD0GCD89g49VPcBqST3c10o9g2RhPeHmdj1ksm09MRGGPc2ziz2jg209fA5oPf1Xgj3UHYA9XL18Pbp/YD3iUEs925pOPTydTz3t8lA9uD1MPc/xaD3tSFM9WGZLPZGTSD1eJU89JKFBPcO3Qz1aDF09RJZqPTfpZj1GM109uvtDPay6WT3Zqmo9/KBgPSZbRz2FGTA9XmMyPSSTQD259mY9v8JfPfWGWT0N2EA9d1JAPWqPOT34pSU91/kkPQ2kDj1Qaw49XEAmPa6hPj0Lcz09wIgzPWxgLj2xckA9xRhBPW9QSD2u9FI9vqJZPbQ+Vj0eR0496vZSPT0lXD0OVEs914EzPWAlKD0+gCQ9AF81PY0SQz3m1Uo9IXNTPY61Zj2JnGU9Sw5PPcjUST3wx1M94qVVPXSSVz3CPkw9huxKPWoQWD0qC1s9MI5OPeiqTz1YjGA9cIFQPSWhSz0Kzk49OKhWPfblaz12s4M9DHOHPX8AaD1l0Us9oFtBPYKSQz2w6WE9ehx8PXpWcz3qsXg9n2+DPZNIdz0aaGo9cstWPQWTVj2kAk49xZtMPUi1QT12zzU9/m4sPaJFHj3ryRU9N4cNPSMSEj3+oCA9gz0mPWCXOz3YskI9lQ9DPQQrRj0nOmM90Kp5PXztVz2JPzY9fU81PdrLQD08IEM9aOo4PaPFND0bjUY9UDtRPU6bQz25ok896LFIPa0MQT0IHEA9jvM/PerdRD0YjVA90DRXPSs2Zz3XTWg9cAxkPTQoVj0L91w9vcFaPbbXXT1Y3HA9kTZaPZRaYT1sfmU9v7tQPSDCRD1mwD89pllNPcX6RD1PEWQ9BFtePdL7Tj1GpDk9DRtBPRJMST2Fv0M9y1dRPY1IZT2HHnc9xURyPVUAYj1ceWM9aHhcPTnVPz2n5UU9yipSPXeKST34z0g9FXVLPfTLRj3e9jk9c+UvPVjZLj0gCzU9+/s5PTE4RD2v/kQ9TakyPdFmIz2LKBc99aEPPX2fFD0XChQ9uFYUPXsUET0d5BM9rlAVPTcvGj1QLxw9tT8QPXNxDz0MxBc9BT8lPY6IGj1PShA9icQaPf6rDT1JVg09kpYoPYZrjj2dF/49ofccPgGi/z0CJew9kwERPqxOHz7JZSA+R9EdPl9JKj7OlS8+sA4jPlCsHT5/gR0+39YfPtTPID4+cCs+GPgoPidVLD7MPC8+/cEpPrLVMD7PhC4+C60sPujANz5JQi4+XlMrPjIVNz6YfDM+Wz4uPmT0NT73I1M+BnlKPvcuSD5wM18+c75IPt3NQD4IkFM+k4hqPvdrSz7430Y+wYVaPt4yeT5OXoo+6rGWPg1ydj7jcE4+RcRCPkjiPz4hRk0+zGFYPoSvaT7YOXU+bH6IPrJgkj7VGlM+6k1JPgJ1Oz7maTY+q7s4PihiQz6avl0+wGlGPqmoSz4sb0o+wUpKPqO9Sj6jQEE+eNJDPgSTQj47A0M+EF1CPqe2OD4VnUw+Z4ZFPv9PPT5IGD8+Z8NGPoxVRz7do08+/69bPmKUUz6ysUU+4xU6PvNfQz5tokg+XY5OPjJsST50iz8+2LAxPgw5Qj7PHT0+m1Q3PnG4Mj7MNio+2z1BPss3ST5Syk8+BylJPr7rOD5PKD8+0AArPia3JT4J4Tc+AGA3PhwtJT4m+yM+pC04PucXRz5PWD8+iNtEPqgjPz67dS4+NIgWPmJ1Ij6qbik+T244Pll1NT7N5Sg+3GglPmqQJT760SI+P8hAPomHJj410iY+DbgzPnjIIz7KTCk+3/kkPgMlKD4a4DQ+yKU6PiPAKD5bVjI+Nq8zPnzwND4n9C4+PosVPpEXIT7h1jE+X3MxPlN7Hz4Gsyw+9wtVPnPUOT4XiCw+hClAPth+MT5xWiY+Lb80Pp5gPD6eFkA+Vr0sPvfPJT4Jqjs+/6wwPnTtOD4gnjs+vU86PijKPT6U9iw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8dNqk9bTeAPc+uTT1hTEc9U2hLPUbiUz2uRWo9y/9hPRd2Xz2i+ng9WCV7PaiKgz3LAoE9m0l7PTAFgT1DsHc9vXJcPQH7Yj3poFs9r4BOPUqDWD3Zo1g9v2pLPdRMPD0mbDk9wY89Pe4hVz3IDlE9PlhWPYoFZT1dHHE9dQ90PX6+ej3PxGg9HEFfPSgfcz06wnE9gQhuPdE6bD0fXUo9jnBGPZ+kPz0Jcjg95/83PR/QRj2rGkU97TlQPb+7XD0yP0s92RVDPf3vOD3x+iw9zcUtPeotJD2VOB898iIhPRxgOz0Yykg9UKY/PUuNOD0/Dzo9PhpIPWdrUT1salY9e5lwPRdndT0ej1o9r45APaajOz36Fyw9R6UmPVgyKz1GBjc9BsQzPQbFPj3uFjs9Tx1EPUizUj2XtE49dJtaPXznaT0GT1Q9DzZOPZmBQj36jkI9keZIPVVuTT2v10s9GTFNPdw+UD3kMFs9CQVfPUOaZT2ke149JRljPXfedz3og3Y9RgtSPVyYTT0Zm049m2U9PcsNUz3aZmE9j01xPfy6eD1ER4I9JjuBPaD+jD31x5Y9WvqUPZFddz01fl09LkhTPVgyOT34+Co9MV8qPZhkLj0b0ys9j0kjPVOhKj0Wnjc9m9kyPfBJOT0ZPz89+DhHPf0uST0EQ1A9yrBmPXs7Vj3MOzk9RqREPV9SQz3TBko9SDVMPTu+Tj2Wnlg9QeNVPdbnSz2ZgU89ppZOPUs9SD0mEkg9qopQPUrSWT1xkVM9kx5UPaS9YT1VKV49mX5kPb0dWz2svV09r+9iPTXeWz0sxmM9GtJfPY3rXD37tmQ9zM5qPUEmUz1SG0s91gxJPTeQNj3qXzI9Kds+PUr7PD3KWTg9gbM/PZP5QT3iTEM9qu1UPdedaT19E4s9tciQPfcUgD1zxEM90go4PRXEQz1/alY9yO9RPWnoQz12uD090tcwPYOCKD2M8CM9lXEmPWghIz27hDI9bSZDPaY+Pj2MiSk9LjUNPfrNCz3KUg899iQXPT2vHT29dhs9+ZUYPXbDGj0fqxo9tKEXPfabID1FIhE957YNPTOgEz0FeBo9AscgPWd6Iz0moRg9ajoCPeHc7zyKBBU9xLskPUCRMD2MsCg9PhwPPax4VT3WXfc93y4ePvzfJj5hUi8+iRYlPtidGT6CaSY+UgApPqlRGz7QBx4+GGknPhEzMj4EdjY+Rx0uPoZONz49XUE+/5k1PsnQKz7yVi8+kpExPi1yND7/wjk+ZjM9PkggPj4bOi0+xvJAPi0ZPz5YdEo+RTFfPpJWaD7YfF8+eOdpPsBaVT46NWQ+MONfPg69UT6WUFs+eW03Pu2xSz4sLX0+b6tgPitmMD4uCTw+NtAxPmHyMj6arCc+2xhSPtP8TD42LTc+DsU/Pp4rVD7cwkk+S+hOPu2rST7rM04+krBDPsC8Vz4Ly1U+fJRAPiRdPT7KokY+d35HPi3KRT7JITg+ghw1Pn23TD7RZEA+JoU1PoY3Nj4zsj4+eKo7PrH3OT44CDw+zaBGPh0QVT5WNUU+2BdFPlKBQD5etT0+iSJBPiS0MT4p/zk+Fp5EPiKpPz4JgDk+FjBBPkfBQz5k3zY+MIc2PtoENz72qUc+O1A8PnSiPz6sZU4+IPQ+Poq8TD4IJWM+RNpKPtNJLT5v5jI+YBo8Pj4DLj4PQDo+ES42Pn0iSD5XQ1Q+z10zPmSMJj4KCDI+4p8kPibRJD6/cSM+cQ4rPpLEMj5zfCI+O88sPhbxNT4UHjI+6YAsPonyOT5ErzE+lmMwPrUAHD5WHB8+7pwzPkb5Nz72NSs+cwsoPphLHj6I2CA+n3ItPo77Kz6FUiQ+Yz4fPiyKIj5ILCY+ZZUaPjCxKD6HjW8+hd1jPnjIHj4Txys+pbYsPv6/Kj69yzM+aeUtPuORMj5hly0+0g0ePkKCIT5HjiU+yZoiPg9IID6grRc+nLsvPtzxRz6nxjU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9z1tI9f1ORPe+nYj1qnG49xt9gPTLZez3z/n89rA5uPXGFgD3/eoo9+AiFPWEHhD0UTpE9QhuVPZwYgD0B0Xg9nU1XPUHCXz0dTms9zSRbPfNkaT1X41s9Sq80PSc9Mz3emjE9bAg9PUL1Rz1yt1g960d3PQx2lT0Sa4I94DRsPRtwaD23Q1g9LpFhPQvkYD3n3Vc9x285PZOMLz2nhTM9oU89PREKMz3WaTE9Hho9Pe5DSz3Y2Ew916ZAPRrFSj0GCEU9PWE5PXH4Lj32Eh89KGUfPUUTLT0dhi89GL8wPXYJNj3gjy89H44xPWi0ND3mxEE91JFbPVCwfD2vEIg9Mid7Pd61UT21djU9PvQxPSfXLj1mfDg9GAAsPf4tLz1k9kQ9EVVDPWzxUT1P31g9cMNOPc86VD39WFg9XZJZPRYNWj3+JEw9jnw2PewNOT0VXEs9NVhYPYmMUj0Bul09zph0PS6bWz2vU2Y94jl3PUEpZD29UGw9na1+Pc6zaj2IN2Y9A1piPcc4ZD3DDmg9JJBwPbzseD2lcYc9xfaOPaNgjj0LWYY9fJqIPSuOkT1mvpw9nmOCPW5hUD1za0U9IhI/PQgZKj3ClzU9SKlCPRmgMj2oWzM9XyAvPbP1IT3MXS09drw4PRXHTD2FxkU9bqtPPS9GUj0raVk9KJlUPalYSz3VLUo9AFVLPSsLXz0ZOFY944NKPWR+Zj144HM9bT1tPS4WVD1vEj89L6BJPTAJTz15nkQ9w59OPafxTz05kVs93fdmPafcZD0LA2492wN9PSjbfj1YbWs9EYhXPSw6VT0ZAFY9fBBLPUlPQD1jLU496PtdPRSPQD174C09FXI0PVXKOj1tJ0M9fRBEPZa9ST1RSUQ9LR1HPf2cQD1La0k9/ARgPa+3hD2ZEYU978FtPWNoUT3xAD0965c8PXrPQD09vFc9GQFbPV90Rz1bWjM94u0wPR8KKD2aziI902kmPcfyID16XiI99KwgPVXJGj39ohQ90D8FPWzTCD0nVgk9cTgUPcW4Fz2f9ho9XBgXPWc8FT2V8w89ExwSPdBNBz2nQRI9Pp5HPcJVMT0dnxs9OspCPfl7aD2NESw9QS0gPesEFj2uxkk982tXPcisAz1zXBE98LW1PKXAJj1EFPc9cHMnPrwJJj5bDC0+s14oPtq8KT5glyo+T/kqPhVRID717SM+DMg3Pi+bQD6Nn0g+7VQzPt6TLT7jOko+u7I+PlggQz4lwUk+BOhJPoQqSD6k8Tg+hodCPsRoKj6tSB0+lew3Pp+TVT4xf2I+SjFVPotGSj4hhVU+cON2Pio8fD66CXA+YeFtPiSobT7cSVo+iOIxPlurPz4pGEU+Wd89Pjy6gj4Q8Wc+mvxHPtVhTD7mTDs+eRJWPj4JSz4sgT0+7NhDPiHVSj4e+Tw+bqU8PsihRT7ZMUQ+4VVFPt9tPT7OVzo+SNM6PvzsPD4QUUI++vRHPu2oSD6IVz8+MrI9Pv4LOj7nPEg+G39HPqq+QD6h+Ek+wpFRPnuvUT74njY+A80+PuvYQz5JkDg+FPI8PjP/OD5cnzc+x+1EPsZRPz6WIEg+u0o5PtOjRT5VU0Q+mHVLPjVXVD47Qz0+sdFFPkz9Tz5gKlA+lg47Pjz/TT5LQ0k+fNlUPniDWD7DOkk+G3AxPuf2Nz48KzM+sVA7Pvg1Nz6hYjY+Vt47Pu9GWD6IjFE+7IcyPk8vJz5+MU4+YugwPjk8KT5ofyk+AXMuPkQRMz78oDI+raAmPl3HIz6K1Rw+bpoqPg6AMj7m7Sg+bskoPh/dLj6aKyQ+vYAnPiZJJD7nCyY+R6gnPlVFKD4Qdio+duMrPt24Iz5VRR0+fXYjPkFRLj6gBDM+/gQtPrEJNT4sPUU+yLwwPk5pKT6PxSQ+ubYkPj99Ij7bfy4+seAbPnYkGj69ASk+pdAqPpwAIj6Zuio+AhI2PsKdLT67PB4+GnIUPn1JED5TORY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9nKrs9cGqMPZ+KaD03Fmc9wnlrPWAXaT0Ya2Q9NOZxPYF2fT0/foo96ReEPWTpfT0yGHc9D/JWPW82Tj2uw0k9QpVJPTTiRz0KzVQ9Q95bPTBtSj1ZV0I9pmpCPUGURD0FDz49BUw/PfZwXT2uRYE9bueCPevvcj0XfWI9G6ldPdlrST3vHz490E9FPc4pPT1i6DE90rotPfe2Hj2CtDY9HPs7Ped9Pz37OVg9vaVbPcL/Rz0dYjY9yX4vPbHQRD2HlUM9QNgyPeyWLz2WRTU9eJpCPd5hTT3DMjM9aCU7PZeHNj011CU9xA4sPasJTz3wAFU9FspcPWBKez1M+WA9zZ5EPWz5Nj13LkM9NktMPSuZSj12DDo9L/c6PfI0Rz0xulk9VhhfPUO2bD0v71g9UWhSPaGLUj38S0s9dVVBPWkXPD1dnjo97MY/Pb/JSD1czFE9H35SPS4pRz3lDUs9/ntXPWo+XD32VVU91d1lPX2/Vz05kFg9K1FUPb7BQT2/j009QRFuPVzaiD16L4k9cUN6PQsGjT1b6IE9urNvPWMdcD1Ha2Y9UM5oPQe0fz2be3A9rBJKPadlSj09j089xnQ7PUqIKT0U2y09zl00PfYQKT1tBys9t5E9PaZ9Oz32mD09ZFdDPeFtQz3dED09LNJLPdkwOz3PaiU9a3E5PVyjWD0tV1Q9+mFTPekwZD27IGs9dVViPRHeYz2tQF49XPFbPRbLVT3JyF49pdxQPcXXSj1Mo1w9DhxqPcg+az1kF3g9Q4+MPSY0dD2qxHU95xpoPVGrWz2hwGU9mKhYPcqfXT1cTl49G7pMPaW8TD2r/DY96XMqPbsAHj1SPx89+LgiPRU5Lj308Tc9AxU8PSdeRT1AYEw9Gj5kPRQpUD2NV049ROlVPQ/+aj3T9m098d5jPQI6ST0Cw0E9nDJOPUvBPT0fxFE9/5FkPbrGYT0O+089ayNDPbMiMj2YFS8939YnPeBaHj045yE9PqEXPYj1Bz2P+wQ9jY0EPeLLAj3c/wo9QnwcPXOPHT2gPh89GawdPey7ET2BLQk9+u8SPXMFDD0L2hM9mdkJPQKaAT0njBM9HqAkPViNHz1d0hI9rVFnPTXr0j2DkBk+9l/QPSsQdj0jSIo9mNLQPbFiDD4W9CM+2D8rPhfEIj6ryh4+ET0jPhvdJj4gZTU+OZkuPlVmNj4sdEk+w+lEPgQlOj6HIz8+cAU7PodDMD5bfCg+9Nk9PjIYZz4q2U0+SeBAPuRhRD4kLEQ+hq9CPmqgPj6UuU8+Q2k9Pj3TRT5vyE0+taJEPq7uPT6BbjQ+3bxSPr/djD6LenY+dLZVPpndYT4E9mQ+Jw1NPkOWQD4OKDI+GRBKPqjkgD7Bp3w+GNlKPvz4Uz7KCms+Tq51PtaHSz5QMUk+tiRQPo7RUT6rikU+JPA6PmNPWD726k4+RqM+PkasOz74qzw+Lw1EPr1sRj6idlQ+Ru5JPsXPOD6jLzo+NQk6Pp4EOj5ZHTQ+4iRHPs0LWT7/q0E+L0U+PqkoPz570zg+/Cc4Pi1iPD64gDo+WRs9Pi6NPT4YmDs+P+xCPr6aPj70pjs+D18xPmB8OD6arjs+PyY9PqGROT4/kDY+VLtLPqQ6Mj5bYC8+Cw04Ps2eQT7EYy8+C/0yPmlJTz4OXVw+DjI+PsWgPz6hnjQ+nx4uPliRIz4Dwyo+X0IqPoOxFz4xjx0+puFAPl7bQD65GC0+VY4sPt0XJT5oOyU+NHQhPrYoHT4oNy4+YNo0PvbGIj7vXB8+AlsWPoNHID5ALDc+kdg6Pkc3Kz5taSU+PswoPqbqKz4rWTA+Ie08Ps8eLz7iSCA+zwUvPjoqOD6qyDo+N00aPq5pJT7mYTA+824oPig1LT6sozE+C6gyPubCMD7RMD4++vVWPoUKPz6upCM+v0QjPqnmJD5rHTI+p08qPtxYIT4m0EM+lbFmPjJuVj6XLyw+HTAYPnLUFD6SBRU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/Bmf09TC+sPTlHYz24XXE9HW90Pb3Zcj1MA4Q9dBqMPUMilD3i1n09nC5oPcwRUD1VKz89pv5GPc8APT2h5Dc9qctRPeeQUD3i+EA9ajQ4PUSYRD2+mzY9BPo6PdjLSj3sUVY9Kd9MPSOrZz2LB4g9AslzPd9MVD3RYj89mVQ4PR01MD2ORTs9dihDPYjORT0EIjQ9VbE9PbegQz13F1o9o+dePf9lQj3QAS49BCgwPV4fRj1r00k9LWc/PfhgTD1zWks98Kc7PYd+Nj27jTk98n06Pb1nPz1kfUU9ziRNPZXwSj18gEg9WV5IPVQCZz0lU3Y9ZWR/PVbvZz3Q+EE9afNAPeqDQD2DH0c9ylZjPXHpWD22m189IcF1PSBAYT37gms9tLJvPTyVUz0cn1I9sMJjPSHvVD3E10I9XnREPRd1SD3p70Q9fE1NPUIIXD0tqlk9JdFTPW0URj3zY0k9T5RuPTtLcT08DFo9vWBfPZ/cTj3Jb0w91SVVPcnSXz3EtHg9mvSEPYoCkT2rvIs9rx1xPaM3az04+kw9V+Y6PQTyMj2V5ks9zRZzPd+rdz3vL1897GJJPaqhQj3XnUQ9v+5DPXLkQT0ziD49dNxBPQ1SRj0qaEE9ts8wPbhFTT1f/lQ9Kn86PfjWOz02sTU9RKg2PUZpMj0umDo9A4NKPZWGaT2rT3k9iCxtPWbkYT3RF3E997FePXT/Uj1fO1Q9+eRiPTQGWz1P+FQ9I8dYPRRzaj1BWXs9/893PRm0cj3uGGk9AipgPQZ9UT1+H1U9qyxiPW7raT3s+Yc96jZvPZEYQT0cvSs9fDUpPZ5YLz30Cyo9SaYlPXvmJT3tsio9yTUkPUGiMj1CKU49nI9cPRz/Rj2jZkg9agNCPYv+QT0oPFE9DJJpPUhLZT326mU9mctaPS+oVj1q8lQ96EtZPT2LUD23Nlo9hfRRPb3nST3fuDk938MoPWXALT24zSA9b5waPa9NFj0ZeA89hWIOPXhyHT3VJB89CMgePYNoIz0IWiA9SPsdPUHjHT19Vwk9jzkCPYERBD1HFAE92QEGPZ3IGT3ZCyE9nTUNPe6GUz2IlmI9sJ9LPSwgEz0T1O08h7IFPdQhND3pEnA9uCNEPkdGYz6QxSk+UgMjPkq1Fz6P2iI+2ucePmleGT6zLCM+cEMhPqFHJT7VU0g+jGlPPnsgOz7rsjY+SSo1Pil8ND7GjjQ+t5sxPm6nWz57CU8+8V9fPn/4bD5NRVM+soZTPoP7SD5Y5mM+NP9VPriZQz5B/lw+Upx2PoOraj4yAW8+aPRGPj1DLz6gvDI+uyk3PsJGVD4U12k+HBGGPjjnbD6XXl4+9DFEPvIbSj7gqj0+i59hPhKVjD6Pu0Y+RX8hPlkHRD6Od2I+tx2CPnNhYT5u9j4+QXE3PvteSD6tjUM+53c4Pu5aMT5wtVc+/0FCPqclMj4JyzE+6UQ3PpFYTj7NGEg+ySg7PnceIT7QFSk+yoQyPv50Hz7jzjA+Lcw/Puu7Tz5z/jo+dK0oPuNKLD5D3Ug+gQdFPrJ1Nj4/mT0+VUwyPn3ANj4Vszc+Z9U1PuiaPT4JUks+eWVBPnsHQD5akDs+0Rg2PjNoMT5FQjY+8n08PuEAOz6o1jA+o0AxPndxOD6g4Tk+VL4zPka0Oz4K6Sc+/hkrPpkLSz4Cqjw+1UkqPugvIz7tXS0+Pu5BPnqMJz6g9TA+EhEvPmg8LD4Cxyo+TpMmPtu4JD4MqzI+dEYkPgg9KD4KJS8+ejQ1PkRmIz4SnSU+NmQgPooKIT63oDc+pqxIPtMEHj7itCg+1p4zPvFUOD4zuSs+kz0yPii9Kj5E1iA+CQgtPv56LD7nUCc+aNA0PngrPT6kcDw+mmQ7PkOHKz68tS4+g4hEPs0oPj5A9z0+/C48Pk3dMz75bzU+AVo3PrgqQT751Ug+0ic/PgqWRz4JNTw+K/UiPkOiOD40vTA+/9kHPjoCDj5i5hQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+zbt49U6GpPRq8Xj2kWHY9JOKCPYDShD3YO4Y9xM10Pb9vYD2B5kw9QrVGPR73Rj3kukc9CcJTPblnWj1P8UQ9qv87PXbHPj1W8js9Irw8PTuIRj2TTz89CHpDPTlNUz0DblI90RxTPRRDaz28EG09YB9bPdknUT2wZTk9h/07PclBTz15E1M9otpvPZ4sbT2Uym09v/hRPYd7TT3tDkk9AdU6PZxsOD1edTg9G9E6PbHSQz1OiUE930BCPWHQPj1/oUE9GZNMPQp0RD0FikI93xw8PekJYT12lWs9hKRpPWyebT2/VXM9Ab1zPcJ8cz1nKm49tn1ZPak8PD3O2UE9ERRTPSzEcT141XI9CwdzPespbT1XhHE9P0B0PfXDZz21DmU9zxRVPSHgSj1XzEI9saVMPVTOTT0tflI9a0RIPReROD1NFEE9uKRNPStoaD0TYWk9kvNkPfNCUD3m7E49gsRQPQAcXj3NYWI9m4BcPUeYZz0h5l09WnqAPUW0hz1TnIE9UiSPPZJumT3yAI49kjNgPTSYST34h009COBKPbgnQj327l89L+dbPXu3Rj2WLzw928A7PXDrQD3rCEk9ZelCPSlfQj0KqEQ9Rsk/Pb3aSz1PpUE9hb5GPbeoZT2h9VE9bihAPdPtPz3ENjA9wnw2PSSbRD0AZlc9hcNnPblShT2hW289RTVpPdl/cD0Iw1c9mHlBPZn/RT2uT089NzNNPYqfWT0HzGA9zTt8PQmvgD3B0mU99+1VPT2YTD36SUs9LYtNPSQgTD2lIF09gBFvPZyAZT0vPUs9AgcyPVHUJj2otio9/tEoPSsuKT2/nxk9FEckPd23MT01aT09750+PQR7Pj1HHEA95M49PXu1OT26Cz89MbxJPb/VWT1FYGM9EbBYPcLhXT0aGFk9YfNbPWZxXz3KX1k9hlhHPaJyZD0Yk1Q9By06PUSfMz1ayCk9tCwsPWutLT1+cyw9sB8kPfFgJT0OGhg9nv0bPfJXLD28Gik9ww0gPXQ/Ij0Qlx89yM4VPUm8Cz3oegc9P87rPLPG2jyd79A8QPDpPBR5DD0XkBg95OBjPVBcuz2Ukr89Y4v+PRCwvj18xi89//VrPRU3jj1Q8wU+r7BLPtflKz6KTSM+rM0gPqzOID5R+iQ+YzcgPpDiIT5Wmyg+1sEuPtjxLz6aOlY+Fp42PpvxKD75TjU+hEsvPgSPKT4U7i4+b+9GPlFRSD43LVA+D7FhPt4KZz5wxn0+q+RlPpQvWz57UGY+jexEPk9FOD6fmTQ+te9APkE+VT7zfHI+/1hKPmTdPD7eyyY+vJMvPjBDNj46yDw+q5Y/PiQ7RT51mzc+/E8tPi+XQj7Cpjo+xghgPuoLbz69ZDI+/zQ6PrJ7JT6tpTA+a6l4PkwfWT4yFlE+X0pGPifyPT6yATc+5EkuPg9yOz5zJEo+q5BOPoVDNz4BXTY+1PstPltmMD7D1zI+HpQmPmwkHz4/Pic+y5kzPnDKQD5suyo+7pI8PjtmLz47YSw+w/AnPsXvNz7SRD8+owE1PiyINz4he0Q+D/MzPmzXOj7wMCc+C5EpPn0SMj742S8+DK5HPvPZPD46ZDU+28ItPviHLD4sgSk+TXAjPo6AKT7Dzic+lh8zPvBvQz52cz0+r5krPu4uKD6EpUw+E6pMPuGcSD7tSi4+5gkYPq5cJD6fBTM+dXM2PopwID5QAiU+3UYwPgU6Hz7TDyA+Rz8wPgAlLz4aNTY+lsUrPsSCNz5TKiw+G9YmPgtBLD60nzA+QE1EPpDvND5dPzg++9g3Pr71Iz6yQhc+i4JAPhxVOz7RyS0+tag8PtsgOj6waEA+LFcyPtLZLD434Bk+EuFYPlksbz4AtGo+MwtMPgovKT6Y/0U+aG1PPoOnRT4K41I+Zy0XPrNONj4VAS0+djwbPpEQMj53bEg+Io85PgNqHT4x6xA+RSwHPoveBz7J3xw+KJUMPj3QJj7ML18+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+lCMc9wMKaPecTWz1t2l89TC9vPTKafD0mvIY9KI5+PfqZZD2tV0M9Uq9CPVL4Rz3PJFU9QSFYPTEsUz0VVlA9+RBGPWKzPz3kUjM9hjRFPQbhST3yLFA9ga1gPX92Xj3RJ3A9yRxxPXUxYD14VVk9estVPaeUVT22iVc91Q5WPa0JZD2mF4I94ahuPUfnXD00tmY9wodQPWaOSz0FAUg9B9Y4PYpQQz1GVlc92UVOPYFYSj0Tr109UIFdPb/ZWj2dRGQ9wPxYPar9WD2znFo9fDZdPRbnaD3LUWk9qDyAPd4ceD20+Hg9mkZlPbyZRz3YCDY9pwo9PTz2Sj0gFVo9DF5nPZt7ZD3Zk2Y9QhRzPQOycj0SfFg9mydnPVBbXD14oj49h+g0PVlITj0x0VQ9blFePR8XeD1b8mw9RPRkPf05Xz3RJGY9Jv9UPSvWSj0XoFA9WyRCPT3vPD0nc1Q9mZppPaKFaj0QXHc9mRN2ParodD2+5n49xX6KPbTSiz0T0Hs91311PZHahj1a/G0949ZfPaQbUD2DYFw9juhwPcPDZT1+sFw97YdUPXLQSz1+t0M9Q104PaoyOD0vT0E9q7ZMPViHWj0krFU93PRLPcGtTD2bh2M90mNWPTkRVz3BgUU9JMo1PbRpPT0okEI9p3JaPZYSdT0r+Ho9bGB/PaPpZj1dulA9/qNEPYqnTj2mDkU9x5pGPQReTz2X5Vc93LFTPby1XD3UmnM9l192PdDdSz3/ET49FZUuPdtbMT3MsjE9D41FPeZOXj2+UF89EltPPUgBPz22ui09koctPWB9OD2CcTY9RkYxPSGRKj2XGx89sJovPSHPRD3+p0s9czpBPdDkND0z7Tg9N0w4PTxwOj1U30Q9sR5VPbhAXz3qt1A9kS9PPdc5ZT0oAmw9Mu1dPXYXVT0zIk09sUtAPRgGRD1nIzM96p4vPTrOLz0WmDw9Gy5FPT0XQj3kCjk9mbI1PcBqMD2pgCI931QePaYrLT00vT49A64+PdX2OD3nwik92y0XPQNVCj0qaf08Ps/uPNBI3Twxkv489ColPTMwOD29dlU97sDyPTxs0D1Ulqg9dUt5PdeXMD1AcQc+4oF3PunSUD5ZrS0+SromPuk4Gz50piU+inIpPhesNz5GwTo+8ecvPhmdNT6q3z8+6fIwPsTAKD6fJDo+6qdGPhThNT65ZDA+M9AhPvgEHD76VDc+D0goPsAtLj5vKlw+/D1oPi/BbT6u+20+yIhMPoTVUz6RZT0+8qIbPq1wOz6ovWE+lz1OPkxeQj4S+Us+tRU+PjZgMj61jDs+f7tEPrVUQD6roTk+eBxFPuT+OD644DI+48FAPuMwUj5P1WE+x/qPPl3XbT5FBic+8W9BPqVqSz51LkE+lVZOPpsxOz6U3DY+ru09Pnb1ND7AZDg+HAM7PlOnRT6FfEE+Q7pZPq3ETj5p1jw+KpU4PgTeQj7T/D0+7k0qPpW+Ij71lSI+74IbPuo6Kj5YDjM+XVY2PrGSOT5xIz8+3Yo8PmQ1ND4twTs+u/01PsMWLD4JdC8+sRgrPnWaOj7v8DU+Qt0pPufILT4qZz0+gek7Ps+2ND4IIDk+BP49Pv3lMT7O1yo+pA8yPn66Iz7MuyE+D4hOPprQVT7YhVA+yYdBPscqPT79qi8+NA8YPj24UD6000Y+GKs0PkNzKD7ljhg+/2JBPiZ4OT70mhs+5qsvPi4dOj58Gj8+snshPrcvMz4a5Ds+W2osPjXKIz4gByg+DP44PgEPMD5yays+ZJtEPopQIz4d7jc+lekzPl2TID5X/S0+aNk5Pl/yKT7dKys+Ge4yPg3UMT5+2js+z+k5PlvmIT6AHxk+U7c9PrFQTz5XcVg+AY9KPmJ0Lj6KgjA+v6IsPmCFLD6Tyy4+2V8XPirbHz4QyCM+OFwSPtRyEz7B/R0+C0wmPgs2Fz6nXRM+qaMCPqdr9T2jvQ0+RPf9PRSf7j3x0fw9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/cZNs9gdOjPcQCdz1i53Q9edxsPedBgz3PUIM93DdqPVf/VT2K2Ek9j6ZMPWcMaD0Fjno9O6hkPfAwbD1usGY9xG5MPdd5Rj17p089jXhuPR1uaj25j4M9y1eDPQ3ddD3WrmY9+FBNPaELVD2w1VE9SrVMPcfqSj3fEEM9tkk/PeaPOz1qHEI9irNEPeNLTT05q0g98/ZHPcWdQT2YQUc9+0lWPeWoYD27/1w9vTtZPVAGZD1cWl49OvpgPQ70Yj33m289ailsPQIWYj3a/WA97nBsPes8fD3B3Iw9UqSLPWAbgT0QTWM9n55bPV+4UT1dGUc9IStCPbD5Vz3ATWo9lf1+PfRUjT2Jzoc98Th3PV2UYj0H3kQ95lI9PYbOOz3Mg0o9Xv9SPTDpYT28mWU99ixUPVmwVD1fm1M9Al88PYMcSz0ShEc9NWRIPRD1TT1UAlY9OtBdPYDJYz1VxHE9giB4PYeDez1N1IA9RjaEPY0bkj2toZg9z/CYPU27gz3RCX495np5PXFfYj2VvEs9Q4lCPcq4Qz2561o9XphVPdSYRz13wEk9pTZDPZGNOz0NYz89Wy5IPUgjWz3mW149uJBVPVQUYD17i2I9nixTPcqDSj2NA149v+dRPcoYQT2ZK0E9Rr5APUyASD2Sk1A9DKlXPQ0naD0mB4E9cjxwPZwATz0n4jU9pCYtPeIqNT3u0UQ9ndJWPWz2UT3zBlE9QrJWPfnQVD1RSlE9j6JJPS2XNT2lIi09kx00Pen2Rj0dqk0937RWPX2OUj2q8WE9owNpPa1aUj1G1D09KgoxPeoEOj2DKUA9RptEPZjDNz38bzk9ZhNDPYlGNT3OSEA9kwBLPXoUQD1xkzs9tIBPPWJsWj1sr2A9VRVUPcDZRD3z3kw9X1xkPWrdbT2lRFw9vTBIPS5CLz3SLi49tf0sPYJEOD0DPjY9tfY4PVQ1Qz0SvEk9UyA+PbTrIj1LhyE9S6YlPU/xIT0Z/B49MIsWPWqjGz00Vhg9q3QOPdlDDD1elwg9tn75PAPK2TzHV8U8xNi8PM2ayTzVb+c8tkAMPbABDj1RYAM93aH/PMOzDT3Be0M9mg4lPVFfLT00oLo9iB45PljaMj7layo+WNsuPrcVJT7aniA+BkszPp37ST49Xz0+l+dAPljcQj4g6Tk+Qm0vPr4EMT5f0kE+/RNNPrpdMT62wDA+AJ1PPhLeVz5R+kk+e/dBPv95aD5/N3Y+xHGCPnvJZj4INFs+FnRiPp6STj7/Rzc+V8I2PnpKfj7j2o4+iwhrPso5Tj59JU8+Guo3PuXOLT74nCA+js0cPmZgJD6/NSU+xZQ0PtQnMj4fM0Q+rstDPnG3Pz4gfUc+RiZfPlMSSz4YUDk+xGQ4PvjITj4mXFY+FkJpPpgeVj5ObjY+KB9APvArQz7Qdio+o+g1PunOMj6A1TY+hpwxPshhMz5Gk0I+Ut8xPsr1ND6jMC0+hN8fPvatIz5S6jE+EQQzPrHKLT6WKS0+zv41PjAxMz45tjA+4Cw1PiuBLT5KLy0+s/s1PuToQD6z0jY+1cA3PqE3MD7dsDY+3mg1PqClMz4WMT8+JERDPhQnNz7YIzU+ycQ7PsdJLT7mky8+BWM2Pm55LT6+RDg+8yhxPtzkaj69eDw+YgQpPly/LT7JbzM+FP4rPl0OOj6ZVWs+3zFJPvFGMT5jsCo+yDUqPpMgTT5c5jg+4bcsPmLeND4CSyg+m1EiPkGyGT53YyA+VwwmPk0bKj68KUA+gs05Ps7GJT54UyM+JSY4PqMBPT7hTCs+krskPjk3OT4tqjs+S/0lPiEjNT4eRDc+fjcrPk9kKz78vTQ+MpUoPgoLEj4zOR4+lfEaPhhOPT7gj2A+XgxZPjy1Mj7Cujg+SREsPpAiLj4nFTU+VjYlPnilFT6cPBU+TukiPmnQJT7sUA4+hTIQPsr5Dz7HVg0+fBQEPkaPBj5lxwI+7SsNPtBiEz5CSEE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/9vMM9LaqEPYtDbj3nv4I9mA5yPdYwWz2pvE49sjxPPWylZz3gvGI9vpVPPTQsRj1K3FU9uEFdPVKRYj0VFGI9arNQPSF+Pj0buEM9zuptPYLXdz2ofFw9Z2hEPcPhUD0vrFE9Yw9BPQaNUz2+ykw9MmBSPfSHWT0Cy1E9r/pIPQtWQz1wmjY9xcZdPSQUUj1fJzo9ExZPPdClWT2od1Q9jZNcPVWrZj2b3lg9jhdZPeRsZz3W/W49mRFhPfi7bD3A+oI9tUGAPePEgj2JxYA94RB5PTh6fD3BFXM9tS9fPcDWXj0EOGA9lydwPYr6dD1XQGY9CMRVPaVVdD3BPXE9CUhxPa19gj0BpmE99v8/PWNxOT3o0z49BNlDPeZwQz2FZVs9BgdrPR7EYj1OHX89DISMPaU3YT3msEk9GhhIPWJgSz1tn1g9FhZuPQhXbz2DYWY9SBlnPfQjfz3pMoU9iliBPedyiz3Za4k92mqAPdpxbT3hrXA9g8V7Pfa8hD0F4YA98vBvPe/lUT2x11k9kkBXPRZIST1SIz49c9VCPTX7SD3CNEk9CI5ZPdUwUD2xXU49uxRaPb6DWz1LxmI99OhhPbCMXD23HGE9vqpiPfsRVD2qAls9hl9MPWYoRz2+KVs9Pb1YPT1IVj1lRnQ9W+R4PZfbZj2aY1c90mxZPazIWj1+FUU9r5RBPRqiSz3iS1s94H1zPZKteD32uWg9YntdPQ1XUj1dwEI9XlE1PTJZLz2xpjA9Z3s9Pc8eRz2Fs0o9179FPSn4Tz2ay1s9QZ5XPSJ7UT3PtUM9NjFFPUByRz05VkI9aBo8PZYtPj3qWUQ9LYpWPYZBXD25WU89t7RJPXt3QT1rkzk9v1FLPfIiST2dpT49J/g5PXlfQj3aS1w97rVpPVV3Sj2mzzI9bBQlPZG3Jz33Jz09c0g/PQBwQD1umi09F9IiPXTsJD1tQhM9sWoSPQoIFD30bxE9guIPPcAfGT1lhx89fOsYPZEqET1Kow49CLkRPfOxEj2KRgg9I0a/PAgSpzyCDa88PPXJPMhAxDxzKcs8EknfPClJ6DzckfU86CDSPCqu3jw4azs9r3RUPYWxBz1hYMQ9PRdePrFvMD7IuTM+6mE0PuBQOT53xjA+x/09Ps4WRD7q5jM+mzQzPuLqMz5sOzE+7Mk4PlLfNj5R70M+NsxDPsl3PD7Rlj0+tCQ0PvEjHz6G9E4+AjKDPtvvez7TqlM+KwtkPhQKUT4P5io++349PsqpWT7ynyo+aBY4PiL0cj4Ie3Y+HDxcPjF5Oj6opT0+0Iw3PlKeRD4vVjk+Ge8+PsaDPT64iUA+oUNKPg9TNT54xjY+1RpTPgPoTT6B1Tw+SNFHPp/YND4pXDQ+oudBPhoYSD58R3E+op6BPlTAVT7l9jo+Kj4+PjJTMj5tMCA+MV0mPuMiLT4C1DI+T38sPpt4Mz49+TY+KZIvPg7UMj5d1iE+eq8lPtnxLz5r4TY+KCRAPuuFOj4OuEI+joNBPg7CMT42pjc+SyQtPsP1Kj7ZTTA+6AE7Pp5hQT4Zujk+RFk1PoJyMj46RkE+uOU0PpmLPT4I3TQ+r8FCPlE9Oj50xjk+wsg5Pr00PD7o/Sg+sIg9PqAxRD5f4zo+LOkvPhw0MD50okg+40c/PsHGMj5w+Eg+mt89Pt25Pz5v0nY+osZCPuizLj6LFTI+H0UnPkbEMD4YtTc+dKczPr8sNT6GTzQ+9Qs7PhMpMD4D4i0+e94qPqE0LD4E9jE+bHwmPk8XMz7hzCU+DJ0yPjtSRD5yhyM+rSccPgQkHz7ZpTI+Sh8xPuO4NT7FmzM+dDEyPlktJj6TASw+74MtPh0rLj57VSI+MBsUPmCkLj5PQz8+Wtp0PvhcfD7OJ0E+uU4jPoXsPj4Q0EE+2AM3PnQ6MT4MmiQ+8GcpPmoyPT67zR0+lDU0PjKjPD51wRg+PXoRPj/gOT5iBAw++TMUPsTkJj60DTw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/RXGVPVwGfz2sens936d0PSqUej2NlnI9F5J5PdvdgD3UA3Q9t/hePVI0Wj3Pp2I9iwJkPS0JXz0EZD09toYxPSnZOz20SlA9kw1ZPeE4VD1ZSFQ9yiBPPTXeST2Voz09c+RJPWefXz27p3g9HDh9PRB3ej1L1W89rXRYPUjtVz0ujFE9b7BRPYRiUT2xMWY9cc9SPSu8Rz3WNkw9VnBXPSgzZj3pjWQ9TxBYPe5/XT1u51I99nlePb0Jej07Y4Q9X6RyPWTiej2fB2I9Tm5NPV8zVj16C189wU9iPTdbaD0K7Wk96XV+PTh3gz3514A9seRzPVvefj09z149IIxHPd/+Oz0KEkQ9yStRPZ1RTD3T/VY9ESRbPW+DZD1mxGQ98cd0PXAYYj2/WmI9gERlPWu/Sz1giU89ZexUPegSVD1AMV09Xg9aPdUeSj187U89Snl8PQJRiz0srYY9342HPTPNjT3rq3U9ODJ7PZg/eD0loIA9E5WBPRjldD1i73w9Vv98PdcCaD1yw1c9TwhePRvzXD0MXls90T9WPTjSTT0avF09+gB8Pcu4dz3bhWI9jAVtPShMZz3l7XA9oExbPeBiTT0FHFA9j7ZOPTNTTD12oEQ9v7Y/PcqCPD1iNVA9hldkPZOtaj3mgV89XwZTPX3xVD3bu089poJHPTrsRT0UH0I9v+hHPVZZVj3Q4Wc9TYCCPbdAdT0/Ilk9SktMPXoAPj0xWEI9y8I9PRgXQT0ldDg9tclKPVk4YD31LGw9EilYPaUuUj0Mw1E9yJ9MPVEtRz0oQ0o9Vg1LPYSoSD3ZIFE9QddVPSc6ZD3T2189rdpgPSEnYj3aBm09N3BfPS8lND0ghzM9+dkyPdwELj2bAS897Ok5PVywVD3rcWM9vCJJPRJJNT3GkCw9I/skPTDhIz1yZSg9Q+0hPQYNJz2sTi498SghPb+0JT3sCyA9yVwePZRSHj1TfSI9fB0mPcrFKz35ES49b7sVPUjy+zwottw87QUCPZDX6DzudLo8SrSmPEzSsjx0e8I8+H/rPG9E6DwCK/w8iEvoPHXOHz3J6IA93FOHPYQdEz3KR8w8lFYnPTuuoT0XfQE+dgdWPsvyLj43Ajg+Q3stPuFcIz6I6TA+k/8vPjnMOT7PDi0+fw86PiJZPz4YEjs+P2NAPlSdPT7gZkc+xfxEPpitQD52Rjo+OfA5PoSlMD4aC2s+4F2NPhiIUD69mSs+6KU2PpFjNj70dDk+xrA9Psi7Rz6yjT4+05FSPrFOYT4BoDE+K7w4PiYdVj4jo1g+H5VAPq/DSD6Hfkk+cfI/Ptq5NT5mRSg+DnlGPhxQMD6O2Ds+GS1MPmSCOz6IMEY+sqNZPkT+PT7GaDU+Q8JIPj3jVD5ckkc+B5VePia8PD4d1EE+k0NHPpv0Nj6QVzI+aX83PvZjNT6ISTE+FVw7Pg0HPD53TTg+/GozPloVLT461CI+tQAzPj+pOz4agCw+BjEpPjOVPj6dQz8++Hk0Ph3fND7iWDg+aa42PhekMD4fzh8+t7c2PgNORT6OoDc+FA0yPoUBOz7mmTs+QdhAPjF1SD6S8Ck+X1U4PpTlOD612S0+/sw8PiRKTz6Plkc+r/M/PouHNT6xfSQ+oLInPmELQT58e1I++qo9PiUDRz4MOEY+MPwtPpXnLj7YxXg+RMxKPlzoMD7oCi0+VU8nPl5wID4AlCI+p94wPou2Qj5aKUo+oENAPkIBOT5U2js+6sNZPqUDRT4A6Tc+ipY8PrApPj6cNjQ+aTEzPulvKD5LW18+ohJVPuOSKT4cFjU+P/kmPqsLLj7UpCk+F+w3PnajXD4/gD0+lzI6PsxALD6uyyk+2/pAPiqWRj7w00I+Lu9EPvOfVT7xMjg+2f0qPsf0OD49CC4+L60kPqiJNj73CiM+ZGJBPue9Lj5r0CY+oCJkPizsND7bEDQ+T+1IPpzEOT4d9BY+BJgaPoOOIz6rOgE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/axSWPQO4hT2+nYs9Oo2TPaN6kT2fY4g9zc2FPVBFcD0L4WQ9YGSKPVv4ij2qq2I95itRPQ36Nj1+1TI9YIwwPcR8Pj2650Q9ZWVIPedyRz0Gt1g9/3RWPaiQVD07VE099+5NPRc1Vj1BTX09RseQPQfOiz1d3oE9uStnPczeUj3kh2I9bcRnPd5uXD1jf1Y9vuRJPQxZWj3Q4W49tpdcPUiqaT3VR2Y9/dJfPemJbT04U3c9K52HPSObhT14N2o9yoRUPSLXRj2RwkQ9y39ZPSbpZj05pnI9DoCIPe2EfT1jjWk9frdlPUS4dj0FW4I91LxmPX8HXT0RlFI9RTJEPZhtWT3OK2k9xGlhPaM4aT1T53w97dd5PQRieD3Mqnw9UIl1PdK6cD1lKVM9+ElbPeG3Xj0c9Vo9waJSPYLVTz2YXFM9YiVVPXrFZT1hwns9hdSBPSNriT0EdpI9K6iFPWZ7gj1CPoE9OEaFPaZ7kT1V2Ys9oW+BPfP7dT1OkH49TaRdPQpbTD1paF09dXZhPTQiaz3Rj189f5pXPYGZbT0iE4I9A86IPbLjfz0W4nA9DJNrPSz7Xj3g5Uo9a8VFPZvTRD1PKE89uQdDPQ74Qj1kJkM91A5IPftuUD0fK1g9O21sPY94Rz3RZi898546PXjyVT01IVU92iZePe94VD17t0s9ezlWPW9TXD03H1g9AjlZPROtUT0uPEE9yNJFPdH+Vz3TmXI9C8ZrPTHiZj3dYFc95SVuPYFdZz3kYFQ934NJPYhxQz11pzc9+hwnPXYMRD37glU9lmRHPdhQRj2a3GI9zdFwPfEJdj1SNnc9fzJ6PQhCaT3XZE09qr08PRcRLT11+DU9wa85PQdnKz1d9y495qs5PdDFPj1Lqjw9tdc2PVqeKz2fWyk9znYkPek+JD3qOic994onPe1eMT2v/DI915k2Pb7BNz0j/DM9fmMfPegQHD1SfCs93+lEPbopOz3IECs9opIlPaFUBz1VDOE84drJPDkgszxASKo8MVW7PG4y2DwIR8A8jmTIPMmqujw8RQ49OVG+PSGBTT56fYI+sgxcPuNVID4iwA8+8YVIPocYVT7bwjk+gEsqPsOVGT4uSyU+1tItPnPlKj4pFUk+qfBAPoGKQj41dT0+WMdOPlvxVT58BTI+Lkw7PtPZUD7ID1g+KtpLPld2PD7TwEw+Z41FPn1xST5A7VU+e+JGPgyzQT64D08+G7pVPpWjNz7xATQ+Gt02PjjYND7mH1I+4q1bPnyMSz4lq0M+qGFIPiOtOD5bb0E+zCE/Pm4YNT7FTDM+D6waPmWHIz6sIy0+WnE2Psd6ND5i80U+SzdCPh44Nj7Qg0M+jNJEPjDWQj6T/j4+H545Pho9Wj5ghUo+kGRWPsheUT6vSkU+5ec0PrKvPT56bzM+AFk3PsHtMD4mXD4+tiQrPmWUOj7C4T8+WuA9Pg/3LT5KJys+vF4sPoNXLT7pQy8+y+onPm1wLT4VQzM+QqUxPiy8ND5T1zE+uX5IPpk2NT6AZCU+w7A5PvdPNj5+wio+v7MmPs8vLj6tlTA+xf4nPsm4Mj6CfiA+5mkwPiexPD7bAjM+Ds8uPv2bOj7ap0c+lVo+PrJyLT4SXBk+qqAjPjc9Oj5LVDU+uMEePkxcPz7T8Tk++awqPghcKT7Gxkk+QgE2Pjv3LD5ddjk+v882PuQdLz4Gyh4+iGkmPqGGJj7j3Tw+wz0oPhHrKD4wHSk+W5hKPpojRj5BoTE+rNokPr9QID5Kxio+R5glPs4iMT7/VjM+CKVTPlqFUD6jJDo+yig1Pl33PD5iOTc+qrpYPg8CWD75WDk+Nsc6PsYBOz56ZCo+BJY8PonbVD4i8y0+JowcPrUgMj4e7TY+Oo0tPhc1Kj7uyCY+9QY0PibKJz7triY+3EkmPj83IT4llT4+IMQ0PnGcIz5lIj4+fSoqPocrLj7vNTk+cKUvPs+GJT6xnjI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/OGGWPXwrgD2LHJI964yMPS0CiD3WqYE9Qq11PWKraT2uHns9hy+GPXzUez3cP149DZdKPRaKQD2Ymjc9pQNLPdhGUz3z9lc9K19WPc3AZD018I09ntmBPY5EdD1Vq1o9gH9SPZSfSj0TI1g9VsJbPbAPTz2rVlU9Z+dmPd/fcD3Go3o9XTKEPWAPgj2Dq4k9c/KCPf5CZD1vBE49EjNZPWfAdT2JQ4E9FsZ+Pcpyfj2vIW89qeBnPQzNVj36gUg9YzBGPUFwYD0nv2g9DT9ePRFkZT3h4G89srJ8PXFObj27r2c907xrPVdybj10plc9ogg5PUYSTj3R+lc9GkhTPesUbT0CmIA9081vPVzSbD0ZSGU9pTtiPQk/bT1lgGo9OntpPYPVWT2n5WM9U7FPPeMISz09jlM9rHhPPcHrSz11AV494O2BPX5wdj3TFIM9/ESQPSSrjT1pyY897mOIPUJriD2nGZc9FXqRPeZqmD25/os99EeCPb15Zj30s1Y9zlNUPTBdVD2dwU49OyJZPZVnZT0MsVw9C3lbPWRXXD0teWE9b55+Pf3Cbz2YZ2M9OL1ZPTlnUT1jSEM9xp5BPdnbRz0fBFQ9q/dLPSjuST3hllU91/pPPZ+fVT2/jkU93vxEPaN4RT1mCTY9aas9PRocUD0nnFY9gsdhPWZPXT0Td0Q9upxOPWhlaD3XI3M9gF1PPQvuUD19pVg933BPPVkrWj15Ils9BV1oPUD+fz2rNW49CalePXaXXj3xQU09Yqg1PfbMLD1Wny49LkU4PcQmRD3aBlg9k79fPRoNYz0vvXI9e4JqPYPwaz1HzX49zURaPaFlLD1k3TY978k+PXZROD1Q+DA9koI4PdY8OD3Q0Ts9V1s9PcjxMz0iBy09wtYcPdHfFz1zeh89qNohPey/Iz29yTE9DRc+PShbPj2AJjU9PWkkPexVJz0FqSs9avc4PSHjiD202ag9poiYPY5loT04PrQ9VdKTPcHEEz0tZL480I+tPGjfkjyXZ4Y8PLiOPIHXkDxQPZU8F2OtPPL97zyQA1o94xtSPjbwij4W7D4+rP8mPgojJj726Tc+iDAtPlU+ID7DvSU+tS4uPveiMT7JzTc+EyE8PoL/TD5+WUM+SDNCPhMKPD4vwjQ+aig+PlrCOz6WZjY+HmtDPqgHXT6C7UQ+C7slPtd2QD7OAWQ+6VxAPrk3PT5w0ik+EUE8PtpaUj71xio+0jAZPiJ2Gz6rhDs+6ts3Pr3pMj5RhU8+lr5TPtvFZz5Rkmw+33RBPocyOD563Ds+O+I5PpwxND5PAD4+DicrPhMiTz47ezQ+30gkPh62Mj7exkQ+I7Q8Pq2lLD6TD0Y+Ha9fPlgBUj5FbUQ+ZSQ8PrXvSD7vEkM+XcxOPiWNUT5B1iw+pgcoPm9ZLj6G3UA+Te1CPk1bSj5Qu0E+IsREPkcuMz7K0Ts+Wbs7PhieND6r4S8+rlAnPqN7Lz596Tk+XrQ9Pn4YNz5zGio+kJsfPr+xIz5NNT4+nvRBPgUuMj4fMTQ+U7w5PjngPT4CQzs+jVImPpQQNj6iVS8+qJEwPvdSKj5swiU+vlUuPsJBOD7p2iw+wN89PhzTPz7amkM+r6VBPlxyOD4P/iw+4volPkuHJD5oYSk+YvVBPkibOD7ASjA+cAEoPornLD5lNyk+zdVAPm4QPz7KJTk+6AQrPl+TED6/a0U+cqpcPiOhJj7TPjY+2F0rPlQFJT57EiA+nE4gPs5oKT5QVSk+1ugePt2AAz49qPo9O4sSPlR4Mj6LajQ+c4opPrw/ND5Dl0E+5FZDPpjPPD4tzjI+vK4+PtcwND7RUTQ+2iZQPmP3YT4Ag0E+AFVBPiwpOz6Q8T8+Gr05PmW3Hj7AizE+Z7RCPkq9MT4q7jA+UoA2PnQ4KT5GjTg+UV4xPqG+JD5LOjM+Of8rPiFiLz5Hhjk+2A46PvVjRz5RPTM+T+gzPtMoMj6BtCk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/DAuOPZRYgD2UEn89Di1mPUS1cD1/wm09mRZ5PSKzhz3fZIs9Ljl8PdvHeD2sgVk9yydNPdAHUD1Mhkk9mr9UPfO7aT3ur3Y9Hf5pPellZj0lKWg9SqZoPVRCcT3ox2k9yQxHPaXEOz2zbDw9WZk6PfmaRD1ifk09yqhbPUZKgT3rAoY9Ic9sPV9BaT3wA2Y98vGAPauVdz16i3w9P6aBPRSEhj0z/XM9SmVzPWCFXT3vYlc96OpaPRNMZj21UHM9Lex1PShHkD0DHo490jmEPYynhj142Ic9WPVvPVFWYD1r6lY979pMPdfaQT0gvFE9baxCPYcsQz2P41c9czRWPUwVYj2w3oI9nHV3PTjwgj2BM48931aSPUAzeD12sGc9u5lYPTKGaT0D1mA9+zphPVm1aT3Z0V89aWdVPS4/aj3cdoE9d4qJPWpcjz3H2Yg9qE6XPT7ymz2ahpM9iUmPPY4Mjj3o3ZU9FEmAPfmneT37zWE9mERxPZJ7Wz3ppUY9huY+PSM2RD05xFA9lWhMPTgAXD0GMGM9e5ZuPaI4Xz11xVs9N2RDPc1nRT21SEA9p6BQPfc9Sz32N0A9ceQ6PcG4VD1FB149JEphPc16WT0j7VQ91YtTPT1ZUj3pfT89uZNHPdMYQT3nfk89bHpMPZEtQT1SpUs9eklNPS8jUj3JYVc9ADBlPadcZT3wMGA9BKhWPYl+Sz0Y7kQ9HttIPVChXD39kFI9OyBZPTJrXD1GEUQ95XA7PcwiRj1l2T898qw9PQ8HTD1AJ1g92oJfPS4PVT2DtmA9Mat2PdAIdT1op3g9CgF2PcY0Vj05LjU9RYMiPSSeKD2bmzw9+e5DPXzdSj3sqkU9n5lLPfsaTz0aLEg9M/01PY8EJT0UFSQ90KYWPWNKFD0QHxM98akrPRg7Mz3QKkA9SF09PXJ6IT2uSRQ9wSYXPVziJD1wXCk9ArRmPUHJwz1qSQc+n74oPk9eRT4gJ2I+t3o/PncoDD6w4009TXCSPEG5cDwie4U8ADmlPBfcvjz7Orw8D/zRPHG7ez0I/gM+uth/PmIxYT5HCyk+BUYdPsQTIz5lFzM+JfMuPtHbNT4FFUY+rOBNPoAUOT6jris+O8UvPvQYNj7IM0M+B+dWPpdgSj7r70I+acU2PqqXNz5hekA+76U/Pnz6RD6xTTU++j8nPt6XTT5SlFM+pgBEPvEOVj5oFGU+AC9HPoogMT6btCU+q+EhPkBLKD70rC8+8zozPqhyQT5w8z8+smVlPno5Rj73EVs+9l1SPn7OYz6dTkM+adM5Pia0ND4DTTU+LMonPhbfPT5ndic+SRofPn4UND7KVzs+CHIoPj9sHz5A9x8+qP8wPm71MD4k1DI+Wq9aPq2uaj7DTFU+Xn1NPtncSz6ZzjM+73M0PnlIMj4jDTc+qH48PucoPT45XzQ+P4xHPoKDOj5Dzkg+3ghCPsU4Lj5IVzQ+Mys4PpxvMz5tFTc+5c9GPhCXLz5kYRk+U9UbPmVkIz6CAEI+0aU1PvYNHT6hBTA+RrI0Ph1cVj7SxTI+9M0jPgkwOD52WT0+u9Y2Pr7uKj7Kci4+HF4sPsQOQz7ArEA+vIY2Pm9IKD5ikzc+9/MvPrqCJz5pLSI+zNocPnxBCD7l0wk+C0YTPor4Iz6A9So+eKkwPguTLT4zbiE+goktPmD8ND517iM+Y4hBPvkHQD52PUc+UA9aPurcRz73k0Q+OBFEPo6LWT7qXEo+5ikyPqJCRj42AUQ+H+I5Pr9RLz6EEi0+VdgxPqb4KT7tKiQ+3oUoPi16ND7jZyU+9FgmPg3AKT5BHyM+G/YXPqUvGz52jhI+NcIfPhZ8Pz6YNUU+Xmc6PhdCLz5oFzU+9PM8Phm3Ij6MoSo+MAY3PrBxLD60kSs+HAExPk8oKD5IECc+UUIhPrOnHz5Y8Ck+urMpPpmcFz41Xh0+L7IlPlR5LT5LLCA+IeYjPpp9Kj6iZCs+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/+LOSPfBTcz2owWU9vKJ8PYc1hD31UIQ9ftiEPapBjT0y8I49hhCEPX8KfD3b22E9MWtMPcAvZz3ydmE9qOVwPS7veT0J9F89yoFGPYWAbj1QoXY99LplPWHSVj2Zv1A9AHpOPQ/3ST0K2VI9auFMPRr2Zj14FlU9qEhOPZuMUj0p6FY9g2NSPeqgVD35els9DNBtPZH2bT0thnE9y31lPf/ZVT2zFGE9zcRgPQoabD2es2A9IGhmPW1ydD1n1HE9WhKQPcUrnj17NHg9Tx5rPQwWfT2Ca3Q9AbN2PbYWXj2U20c9GlxSPbhqSD0OMEo9z45RPSnRRz1tRlw9kjJtPfO/gD1Vnoo9aKGJPU+Fgz3NbYI9dGmJPWdwgz1mxnA9D5tcPSPsaT0vgoA9PkOGPaDTdz2FrGY9AdxoPRqVeT2X1IY9Uy2DPdn4kD0YqpM9yuacPYmhmD0/SYI9Z0R8PfNnbT26mlc9eEFjPQqafD2ge2095C17PW4rcz2X0E49a1VQPd5QOD1F7DM9RuJHPUMwcT0K5nU9a+t2PSP5Zz0EJkI959lFPW07Uz1s4Es98etDPdw5Sz1xeTQ9P3s0PWkXTT3LwFM9zZZnPV6kaD1etHM9QyhtPXS+aT0VsE89dHBSPb5qQj1qnD49Am5CPRIUPz2CLEk9qQ5RPfxOYT0YI209XlJ2Pf4KZT2yTks9j9NQPWP8Wj2Sw109RytHPScqWD04z2096eJiPTZETD0FuzM9lRA6PRldST1/0089Cf9UPVMsVD03SEo9uxNfPZfyWj3vS2k9dCV0PVUmWz1MN1A9v4hJPWAiPj03X009f/ROPTVQQj3vhlc9tx5WPXZNSj21FEM9Q5JGPRstOz3ERSk9zksoPflbLj3liDE9Ky0uPSsrHD0V2B49Z9BUPRTgSD2gWig95FoLPdiyBD1qsQo9G6obPR8XGj0y+B49mlktPfs2ST3sQ8I9wfkoPrpAWj4lWy4+KDMaPsitKz5svM09DdHfPCN3rDzkzLo8GFoePfmyfD0rfOA9AKoePkCIWz4HpzM+8gcoPglqHD60Px0+CM0ZPvv3Gj7r5CM+rwA8PgygQz58EkM+muJjPkSoVz5ahkA+4SgePsg9Kj4Am0Q+hSxXPmpCXz6QPE8+BltBPvtQRj6gMj4+Qz49PvJhSj7r6Tg+3Js4PhD8RT7pCjY+vhg0PqggWj70ET4+Lc1QPoE6Wz5+6is+vCgqPjUvOj4sISk+/acwPi3fQD79CEA+fHU0PspTSj5RWmc+1bNEPoe3PT5nMDw+5mk9Pn2+ID6PXzI+WoYyPrMPNj6e2iA+MlIkPtV/Jz4OITA+VFskPugOLz5KJTY+2mlCPkiEQD7zJzA+9KdDPhj9Mz6gIDA+7WtDPoa4ST5C7EE+gYg3PvQUPj5VrSs+SrAxPn2RPz7RHTo+ZdcwPh8oLD5skSg+/gY8PuCMOD4AOD0+GgU0Pg/5LD4JPzA+MX8zPpcEMj7uZSg+TZksPtSROT7m50U+regxPsAaIj66syw+rp84PoLFQj6DKTU+MA0vPvWONT5aejI+2V5BPhpbQz4Jki8+m4coPuM/Lz62tRo+8U0kPtanPj7Erjo+JlxHPnihIz7beh8+NNTxPRUKvz2Hq+Q9YOsVPqTEVT6I3lY+SSc0PpDNKD6pySs+YpkgPsDLIj4U6y8+nhhDPqjMMj6SKzk+oKNcPjA5SD4IOEE+QZ5FPlAaQj6k4jQ+qhwoPjvfOj5e8jg+JmA5PqbCIT5KqyQ+q4UoPvS8KD4sKSQ+Wh4uPs4HJj4F7TU+15Q6PtwtSD7fczI+ldccPgzVGz4WnRk+FrQgPnt/Iz4Swh0+OrIePkGJJz4g9y4+6iQtPlGsID4Wyik+GVAmPuadDD5TxQ8+RFYgPgoEKz7EWCo+PNg8PmevLj7YhCI+ZHc4PmlNIT43Vx0+fr0kPjpQID7vxBM+1iAJPpUcBz4SQRE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/HalyPTBBYj2UqXM97eqMPboxjz0eg5U9H0iTPUI8hT27x249yBNzPSC0dD1OXl09vxpmPZ3ibj3bjYA9lT2DPbikZD0kAVQ9o4JMPQ1qXD3L/GA9yO1TPaqyTj0MQ1s9hptyPUmOeD2P5WE9r25XPRE3UT2RDF09CjhbPbgnZD250Xk94C9rPYUrYT1Mnls9diFpPT+Gcj00M2E9oMlfPe/PVT1uUWI96vR+PRNOiD1OXHg9IRxlPS24ij24BZE9D0SGPaPkZT3ytlM957xdPU8Naj3QYWM9XepvPQ1OYz0xDVM9b307Pe3dPT2YOU09/H9SPRMbcD2C/n49I4J1PcUpfj2AjH09GxGOPXiomz1gi4c9SAFzPUmYYT1AcF899IVtPa8Bhj12lHg9ZyxtPRTXZD2i2G09wPh0PeC7fj1N13Y9kOV1PdKcfj2PupM9UxaPPXJwgz3CpIA9+XZmPe7RXD0f62w9Fs6CPXoBfz3WpnA997RWPXjIST2v6009vPxAPd4hPD3TzU49USJaPQXrZj1w+nA9aTFZPQ+7Sz1iEE49tTNZPYSySz34/ks90MJMPbBQRD1WSkQ9vCBIPXBlbz3Uh4E9JfRtPeupcj3IsGs9T7dePdp8bD3oN2A9cFpOPXayVj1oxXo9WZVkPW/IVj1Zs1Q9STRgPcz/ZT1vJGQ9x7BePSkASD08OS890DgoPZHQPD00KEo9O6lBPS60Qz20xkw9GkQ3PfW+MT1/QC49+Yk8PcPIPD2Ql0097kNjPY2Iaz0RLGQ9Uv5jPYxIYz3P+Gg9znRlPT4CWz3w1Fg9MfhFPQ92RT0yvEs9UfRRPROLYj1iFGQ96+dDPQnqMT3lOTI9sCkmPZrDKT0Z1iE9oLEvPexQOD0gjDQ9m+44PTlsOj0tOWM9El+FPXiNQT3o+yg9b/woPa4oFT3fViI9wWctPTUvLz2Q4zA9z6wlPcT0Dz1pz1Y9DyUPPuaYRj5zqh0+CyUNPrziID4EQx0+sVINPki8Gz6SHyI+9B8pPmkwJj7CTz4+OmgcPrgwJD48DSY+tNooPvooOj7/5zw+c3IpPuKzKT5wTSc+nVcrPtfdUT4uF08+ao1MPtQhSD6eqjI+xUkdPqEoKj4sNDs+Os1NPvlVWz49REA+AE1FPis1RT5980Q+mWVRPpWsTj4bU0A+nxc+PizqNT5CvzU+sTErPnFaOz5CfDk+Z1ZQPg6VVj7/1E8+ZyV7Pu+ibT7s/Uw+KXpDPropMj4LuUk+4KFgPi2RST6tgFQ+Y19EPqaZQz6JMyE+tz8rPtKKLz42gSU+v4AmPsZ9Mj4exTA+2Q06Ppm1Gz6IHCo+Zf1IPs06Xj7NknY+XpRrPsWQVT6xjGQ+hohRPqZmRT50Nj8+PCdBPt0UUD5rnEs+IrIhPiVfLz57LyM+lcIyPpg+NT4s8zM+vLk4PkgoHD5V8Bw+gS0nPnjRMT5cGS4+qRsqPqXEIz7GIRw+LvIYPrU+Lj7A9EA+JZ01Pi7JRT4150A+CLs1PhWsMj6iUSg++4dCPsTpRj6YZzk+E7QvPnaqNj6JTjE+8Ps3PpjgQD5x1Ek+ZTo9Ply9OT5kRCo+r1UiPrKsOz6hmzo+eDUvPvWyTD5IQlI+bTE7PlV9JT5cFRI+WWAHPiU9NT6Zlj0+UGIsPk3cKz53BSg+dmkoPmZoLz5tfys+T5Q7Pg0KMD53JSo+ym4zPtN4NT5r8ys+Cd07PrybOD7+Ph8+oRQvPvWfSz78PCM+mBkwPnSTWj7OiWA+chRUPskcPD4+fzk+d+I0Phu6HT5meRI+CgsdPtExID7Q0yA+J8ksPg8MKT5TeCA+WyYqPjyyLj6Y1SI+FZAoPuvOKD4W6SE+yGUfPm/9JD7XNC8+90srPqoELz7aTiY+9fYnPj6CLj4AyyU+BkIqPjyPLj41ZSY+6cUfPtvFHD6cdhk+/ukdPlTqKD75ljE+9sMsPuc9Jz4pKDQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/qSGwPXhzgD36aH09ALOVPaQDlj2lAJE9gzyCPQcBgD3XOIU9NkKDPYVveT3r12k9WkdnPaZvWz1e80s9/79HPY6HOj0+qEU984FDPYJ5RD3BfWA9t+BmPfG7Xz0GYGE9Qu9jPSYpYj3dB1M9QH5QPbUKXj2rD3M96kZ8PRkSfT20oIA9a7JyPbkebj1+N3492xeCPY4NdD2BU2Y9YAxXPV5tYj0wjXQ9+xmHPUUNhz1HHoA9pvN3PfAjcT06P3Y9f9p/PeaIhT3/f3I9m0hsPZ/NhD1MWno9TGh7PVgobj2o6WQ9i9haPdE2Wz1+12s9dOVvPYpzgz0Uzn09NnttPf3rfT3KkIQ9xz98PQOkZz2qz1I9ug9hPc1Dbz0koYE9kJx+PfnxjT05BYU99bB0PalPfT3dKnY9bVqJPZmlhz2g3Ic9iql6PVcygD30VY49nfyLPToUkz0aoZI9/4KDPQXMej2aKn49HkdkPdMCYD29GVI9QCpJPb0eUj0tCEg9GBk2PV5SRT2ty1s902ZwPQ01cz21t4A9jth4PeEiYz1iK089vYBHPcI3Rz1dY1c9kLdcPa2qWD1ORFg9b/JfPeIafT1ZH4U9uCdrPRhETD0431Q9yGRcPcR1UT0dIFQ9grhlPbFMeD0GwYA9Ey1gPfswXT2vA1E9KyBWPVwiVD24Ik49Uk1APTJ7QD0l1kc9bqBIPT+peD2aI3A90FVMPX0ROT2coyw9W2ovPXAxMD29jDc9MJJBPUE0Tj2p5149HAJaPWXbVz0MS1w9kN1hPWW9dz1vGXE93XJrPfUDdD0gOoc9kAOGPX+YeD0WIF49AfxOPfN9Tj29uEc9oAJEPWLkMj3Zgyk9stgnPYO4LD0dUjc97d44PVK4Lj2MQ0w9fo1yPSem6T3YjkI+tBOsPaQzOz3a+U89/ewfPUrjDT0GfQg9l9P+PJL4Az38nkA9mCaKPW1l/j1IaTE++yIpPl8SID65bxQ+AYASPkDqDj6pehc+ax0fPuCZET7I5BA+tX4iPlLYLz6+LzM+w2ssPo1BKz41lCw+TMwvPm2ALz6m5yk+JHQpPginHT4YbR0+Xm4wPhQqPj5naEU+A+IwPh7ROj7mOkA+j1NCPj9KPz6H70A+lE42PnIfQD6bWkE+YN43PvUpMD5G7S4+ZNw3Puf3Lj5bmyQ+YY1DPoDYQz6Kijw+zJVEPmEkRD630zQ+gEJGPgYsWD6QwUM+hpc9PnfuTT4MI1o+WtM1Po50Oj777j4+Glc8PtxcPz6GHzw+Ky8xPrpzMz5JODM+fCExPjnJHT65bCw+5GQvPil4Vz4JDFM+aA9CPky1OT7qG0E+rts+PrMGQD4nLzo+GYhIPiHiRT40/UM+yV4+PjKKMT6KkC0+4/w8Pg/OQT6MDik+S6gyPlHRJj5pHCY+EyUyPv5VNz6k7zg+szo/PrXMNz75hiw+ZKQ0PoPgOj6kqnE+BuZIPpGcKD611i0+8L0hPo4BMz7a5lM+iNxGPpewNT44xDI+tVY8PhDIQD4HATk+JCtPPuhrPz6XYi0+gTU5PhO7Kz4jCQg+DxokPvLPMj53NEA+ubs6Pg5YWT6hSyQ+QG1FPokRUD5/qDI+g5k2PjuJRD7kAkI+0MBJPqVGMz6jMCQ+c7ozPuk1Rj41dEM+4WA2PgnKLT5v/zQ+nm43PqzrQD65aTw+mGk6Pn12OT7RcT8+jvQyPsC2FT6h/zY+hYtPPnmjLz7MEys+9rsiPq49Rj41HkM+x8QMPjuhPT4sxkQ+0k8/PlYPNj7ZZjM+vEorPpC1Iz4+QyM+ow0ZPvgaJD4Trx8+rrcaPg4+PD6ESB0+sxEhPvyyJD7+9yU+tnEmPg43Jz7GazQ+4z4lPgkwIj4a80s+XIg7PpYSND58SCA+0+QiPoWzLD5Wty0+S3EiPsJJHj7Ysys+wxk8Pr6GTz7+zyM+tRgxPg0BPj7qTCY+lNMpPmtpJj7VsC0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/uRi1PQpzkT3zy4Q9ohSIPTuhhj0u5nk97SFvPSUNZj2pHno9Zn1yPbRccz3EeGk9kkpvPWoPcD2sS1k9Us1WPe01Wz35bVY9ToJXPbJMUT0ui2I9HWt4PcmZaz22bFo9WMJkPZ/pcj0k+Ic9jYuEPSoycj2DNXY9xB1kPT3xbj1Ru4c9E0VzPYT0Zz0sCmE9xC59PX5Gfj39qWs9Hk1xPdLqcz0ASGs9StRxPX/BfT1lHmc9Sp9qPUpJeD1W4WA9MZdvPYuXjz3TiYo91Ld4Pc4DhT3/qHc9+eFzPX3jgz3xknk9CWxoPfncaz1zyn49qLqOPXtogj1SXmc9JoNmPVJxZz2WQFU9lRxZPUjoVD2uF2s9htt3Pbm4gz3FkYg9t52MPah3fD3Ld4E9e2mCPdBjgT2vAH09U65hPX4GWz1DIHk9IXqBPYRbdT2cOJQ9BsSUPbhphT0Zz4g9F7KJPdLnfj2HsG49IHBfPU7kZz1QKkk94tZDPZfmSD0XNEs9j8I6PVleWT08NXU9ZcqCPV4Ejz1GP4k9jPKIPZC2cT3C81k9K+hVPQ6BQz3eCVg9Z/lcPZDVXz3K5XA91zl+PToxcT0Dx2c9D55ZPXPgTz1v9VE9RzNNPWF+Wj2uaFs9zkpcPWWmbz2qVmU9EDZQPfEHUj0k+Fs92MVePWYoRD3FITQ90uNGPWauXj1KfVs9q3lXPTKTSj1/lTc9uHM1PfA9Qz1o6jk9eFA5PRoHSj1msUk9cItCPRJ3Rz3nBz090U1IPcWOWj2iX2M9Jp1pPf9+ez3DK349+TN6PVRFgj0Dn4c9soWBPcmkcj0QllQ9fhoyPZ/RNz3f1TM9amgzPXPGJT3whCg9WK8iPS3/LD1vj0A9Ok1IPfDBPD0DTWg9fuOUPf0goD09oLY9lP1oPSZFkT0+XQY+eI5wPac5NT1RxI09o9bfPUoqCz5foQ8+0SYOPvRhLz7fux4+XvoaPuxoFz6g0BM+eGAbPo9SHT4J+Bo+Wo8ZPno3Iz7V4iA+peQrPmScKj5+ijM+HB4xPm54Jz5yvzU+Y/4sPoyKKj7WtSs+vbkyPjPxIT7JOio+UtUnPu1KJz71SCk+sjs6PvoUMz7vXDo+7n5APoykOD7fnDM+TUhLPniWSD47ZEE+1qs8PkVHNz7QP0I+fTZBPuZZKz74Kio+SW9KPmKuQj6jYlQ++tlNPlONRj5zpD0+4VI+PhRTVj6Oflk+kptJPj35TT6ED0I+kzRCPmWVPj4CMzQ+XZk6Pl19Oj65vCw+i3A8PovXPT7V0zA+2R4XPvN1JD44QU4+iE5YPioJVD7WX18+EBs4Pq4qOz53YEE+jqk6PpG+Mj4hqCw+/t4/PtxvNj7WjTc+cEE6PpuLOT5i5jM+4dgoPlO2Fj70oik+5uA3Pk/+Gz7d6R8+0MI3PsNYNT4dxTY+0S05Pi1ROD7BS0c+PTg+PuymSD5z7H8+10ljPrNlUz4r/zo+ZbkxPjvcLD6Tf0M+kQtFPu9END7L+UY+8nc9PncVRD5lHFQ+A15fPnxYUz7vHSY+1qIePh5VMz5xoSo+dl0LPkPXEj7fMxA+CO8GPvnJMD5tQEk+B8mUPs9xhT5Nqi8+jSosPiMnOD6sNUs+zLBMPgN/TD6RsFs+w01MPi8yMT45WT4+JW47PjJyND70L0c+9mo8PkljOz6N/js+8M48Pu9GKz4YQDc+bJcrPjZnJj7IwSs+JgE/PtY7Qj52/To+/QY2PvcZMj5oRy4+kpsgPl7iJD4LwTI+824zPkQXKj7u3DY+f6I5Pv0nKT4QLTQ+ZP08PlsYNT7gMTE+gA4rPrpWRz6vHiw+hIIuPvGfMj61Qy0+2w4rPlTSKj50AzU+KIMnPt/YJD6F5yE+0WwtPj/6LD50fC4+4bUtPpqEKD6rSTY+Ng0sPgMQIz5RKyw+ynUfPlGBNT49RCc+yn8nPluPMz4NXzU+akolPh+FLD4CsjA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/yaOKPVjQfj0lAmo9I2t8Pd6wdz2PR2A9/optPZXGgD3p0309/Qh0PXNhiD1PcYY9o9aBPUXXgT3lg3I9Z96APWERiz0DqXs9P+p8PRfpZD02xE099gdZPQ5hYD1Cb0w9lRZyPSRnjz2UCI49ma2CPRxrfj3IDnA96EtsPb8zaT0aGmQ9/VpyPbhBZj1VxnI9FEN5PV4FfD2hGXU9ZoCCPessfD0/T2A9VgJxPUvCbz0G31s9fGFQPRj+Xz24v3E9HMRxPbtDeT0qnok9xwCdPYzilj2VIIE9cqKGPc9obj2JyWY9fzhvPW8JZT2Zn4U9LuyKPRRcaT3Op1o9/GhGPW9RRT2kZU89rZ9YPVJ4dz2nN4k9mJWFPX6/kj0+vp89M5WRPYjYiz1OroI9hfN3PRqOWz2Wg1Y9bMlZPaRhYD36AHE90mZ8PWO7iT2lGpE9RzOWPavUiT0WNYw9R0KPPchEij0s0Xw9JUprPYZ0Vz3kzzk9qW9FPUdnUT2sDkw99pxgPVmtfD1rpXw9Ptx9Pb0hlT1KKoY9PNVoPUOSUT1qeFU9CiNYPQQKVD3ZcFc9Fr9hPUW+bD2rz3w9LoxqPTNGYj1HFWY9cUxXPePtUj239VM9wb5qPbWAYT3s81s9U89cPeuUUj3hbF49c8hWPbhiRj3DCj49XjQ3PeMtLD1Q90I9xZJRPX+/Tj2pcUw9dgxVPUCvMT017TU9DLhBPa8uQz1BAj89Goc/PWLkPD2Q8D09NVY+Pb4SQj23dU49W75oPV6taD3ci3A9+MFgPT3mfD2e1IA97HFwPbEibD0Xils9jcVKPeboUz0H6kw97l88PaHUPz2drTE9fqMsPemJMT0Rqi093xEoPR3TNT0TOkY9typHPWOtSD2ctlk9YCM9PUPlKz2u5zY96fZwPVl22T0H5Js9CAw3PdVY+T1Y1S8+A5sgPsYwFD6KGRM+F5AUPqWqGz7/OBs+QMIsPucjMj4m3Cg+G2goPrVAMT7wmDE+HlkhPhWSKT5h0ik+KqIyPtRMHT6Ysy0+C9QzPvSXKD4HMyQ+V70sPkqaLT5SeiY+8uwtPtoKJz4DmDc+BFkaPv5IKT7xBDA+XKs/PvzXNT6z1DM+rI5LPsS2Oz7mI0E+RR5RPpNjRD40x0M+EEM6PpnBMz4iQkc+EIhQPtViZz7OtVU+XOc0Phf8ND5TFEg+fPE2PvmgQj6Awlg+soxYPr3PXT4Xm1o+nG1kPhDATD6lp0k+kbVAPnEoND5rFzU+j5E7Pi4fIj7nliE+7QlNPppzPD7Tpyo+h8scPnDCKz7wDEQ+wSZrPk5Gjj4WUpM+UEZGPm/bLD6RhDg+kLVWPhuZRT6oJDk+7aBBPhAYKz5gEyg+iNswPogDOD6EYSw+xDozPhR9MD5zEio+ETo4PkEaND7BrjQ+IwQxPkGiLz6QDDw+CMMvPhzDHz5MqjE+mQZIPo0SQz7BgTc+f01APrDVWT6Qm1M+N5gyPjh1Kj5hITk+wJw8PrIDMj6aqTs+fJZGPktHQT7eqkI+nrRNPkOTWT5JNDo+NAU2PuD3QT750lk+EmcjPr/SLD4mSDk+ljwtPgtYHz7TlTg+EWc4PpaBMj7Y3iE+dSxcPnSRdj51P08+zaNJPkDRTz7QNEk+h4RKPjpJRT6qRlE+Js42PtSGNj7WAz0+vcAgPsK1Gj7/+S4+HUMsPqA6Qz6vIDA+a3gjPut7GT6vfic+iFkmPuaoPj7m1E0+XBo8PjnGCz6m8CI+Atc6PuNzJT582zE+Ll8gPkegNT5JNkM+0UkuPkrvOT4NhEg+qnlBPri9Sz4L+jg+KEk5PnRUOz5mcjk+Obw0PnH9MT5r5ys+Je8oPpk/MD6J7DI+LkcmPklyOT7oODE+oeg0Pm/mMj7AbTQ+RvAoPs9zLD7r/iY+41gzPprSMT6dSyw+fZkiPswyKj7asTI+EjsfPvmkNT7w3jA+H+kwPuEoJT417SM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Y253PUYHYz2EuF89t25tPa42ej2HF4A9GQNvPSboaD0GToM9NxJ/PYzWhT14uYk9ubSNPfEZij36DIs9wCePPRN4iz1Dxn09YU5hPZUoVT3G0VY9GuNSPddaUT32rWI9i/hvPfl3ez0d9Xc9wTRXPWA/Rz20mz49XFxFPWqqbj38znQ9GwVuPT6BbD2VKXs99BVmPcOkaz1jqXM9Gu1pPckIaj0sbm89KxpwPWiUYT1stGU9gN9wPbgLgz1B6nw9HWV8PVN2hT1kjIM9MpiGPQHGaz2rI1w9VYNpPXh2bz0qLXI9eqJ7PfYhcj3sXns9+0RuPdGLVz0N5Fg9mJlgPeDXVz34qVU9sadiPVU9eD1fqIw9M+eOPaabij3z4449efyIPSncdD3mo1g9rh5HPeuBUz3ihl09rSJhPbW0aD19qn49lel/Pf0Rij2PsJg9avSUPYTElD1I6Y89tdKMPeptiT3iG3E94VdePVItVz2wp0g9bBBVPeWAYT1EXX49RjyTPVa5ij2cY3g9B293PcaZdz1biXM9pKdgPSigTz1KnVw9padYPZ7+VD12a2A9HVVmPSA8dT16UoQ9k/JuPY3fWz3LuFI92BNdPe7NiT2PioM9LwSBPfIMdz3RjWc9YXxYPea4VT17sFI9PuBKPRyOSD2j+Ek9w7RLPRJcRz201UA9Tf9NPZb2Vz2ILko9Z/MsPWQ1Kj2ILTg973Q+PcTANz2Uay49Jl86PcLfSj2VnkA9Y7A3PVD6ST1domQ9Lnl7PSzEdz3m0Wc9wWRdPWugbT1fS289n+l2PYJQZz1KrF09V2xhPfcuUz0Rwkg9eApSPa6WTD14JlA9G8xSPVkPRD22Wzw9ma85PTTBND1EZD09lO1LPT8kSz3yB0c9FaBDPS27MT1JBSU9iihaPXIkPT7w1Tg+ySxAPlJkPj4FYig+YIkgPqSLDz5oPRg+/AAlPg4YJT468C0+PcY1Pu4rOT6rIS0+o5knPlpXMD5oVC0+dA0iPg+vJz73kCg+/rQvPn5xKD4I4Sw+/Mk2PlxVPj6MiiU+HwEiPs3JKT6/his+ylowPr6mQT7dNjI+p0Q5PkCqMz6UvUs+6VdWPtcKOj4l0zM+aGQ1PjA6Nj5FvkU+f+I3PiOtKj4uGDE+RbhKPoUXUD6jFF8+pqJQPo/CTD74fEc+vbw9PnXfNT4U8UM+GbJOPqXKNj7QtzA+Ui42PhoSHT4bgzY+Lv5YPkkkPj6G1jI+s002PtwpLz4m6jk+DIA9Pl8PHz4ziRY+3cc0Pi/OMj4mSDY+tjNNPlSoTj7FhGo+cFCUPsk+pD4IO5o+P9U1PtLzTD4MdlI+h/g/Pk/FLj5aKjM+mGMpPnruMD5CKDg+KaE6PmMGPD7zZTo+tm0+PsikND7iSDE+ogNMPk03RD4YkEk+GB5MPqPbST66/zY+XvslPm84ID7gKCY+uOorPnvaKD5ijTk+TnFCPnoVOj6yfS8+Hk0kPprxIz7zHzE+NX4wPsO3NT55gzA+lvs3PpEkST7l9DY+nX1MPryMWD4EaUc+/sdOPtMHTz5wmT4+IPFAPvjuRz7jXUk+UXtAPnBLLD7L0jI+QJchPk4sGD5e5iU+iIE/PuLXND5ksyI+L2snPseuJD5lmUg+gZVtPv9hUD6ywUI+G6gsPi/yIz6mNC4+Y3YxPiDAKz4TkDA+svgePkuoGj6lPC0+pMU1PrK5LD4i+Tw+jFU+PgjIPz5kWUc+xcEdPs51GT7f6CY+LFk/PgtNRD5vrC8+DwAnPm9yIj66iDc+fEc5PpqqJj4JDzE++Z48Pu1BNz4r6js+t0A/PobSTz63Vzk+hoUnPhzdKT6gNjA+b50qPg+4Lj5z7Cs+wg4fPrakGT6W1DM+auBSPjrVMT6IMjI+loouPtONLj5BdzU+CggrPrxDIj5IVDE+5MkhPsZkKT79nCY+TRcjPqByEz7KPzY+VfRRPoqDNz4hPSE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/hjW6PR9Amj3u2Xs9QvRqPUH1Xz2/mF49cXdcPWgbaz3mr4E90fqLPdq6gj1Enng9NWx0PddDZD1/AW49KuWCPV3/ez3gwXg97m13PcT0dj3Vp3A9sjdjPT1fWz1/imc9jBllPdzzTT2xeFI9rwZTPRM1Uj02xkQ946tSPYw1cT01ZXo9UOpsPS0Pfz2HpXs9yq5wPT1wbT07w3c95oB5Pbvhez0GnXA9xFWDPYedeD14dHU93RmFPRPBij1tOpE9NtWFPTwXgD2g7mQ9eq1VPbRJTT2phFk9o/5cPdWeWz0xv3k9coBnPbxBaT1tZ4M9tdKHPf6pgD3wim091ANcPVBvWj0LV1Y9aVJhPYZhgj2YSo09BeaMPbhohj3aLVw93URNPZMPTD11SUk9DipfPVKaZj2qzHA9zNFwPcORfD0loIU9OyZzPe5JhD1i9Zk9zDGqPR9Emz3KjJI9gGmEPQdgcD2jGU89QJhDPXsWTD1MlVg9rdJ2PVcnhD0ap4E9NImNPdgCfj1Xhm49ZJl7PfPiaz0NYFo9ZxpdPV8WYz2pSHI9UXJtPUThZj1pX2U9dgZSPWKTSz3BUVc9bGlhPYGQdD10VXk9vQ+KPRO/iT2N5G89mc1dPbcMYj2Vi2Q9AwtRPQoJSj3GJkI9FP5HPRNFRz1dBVA9onBMPfpoSz3ZKFk98YNfPfWuVj0lPjw96B0rPRc+LT0XIT89nC5APYmaRj2ejk09QldUPRSESD2+Zkg9USxcPZ6ZYD0zQWc9S4x3PdGBbD3ytGQ9TjxjPfOyYT1AGXc9oXJ1PeVVWT3vyk89KXRbPcmHWz0UnE49Qz1HPRRvSz1r1FM9+URTPX/gSj37Wko9CfA3PSVZQT3m9lQ934RpPXaHXz1MyT49dqgnPUszEj2TFwM9kWpCPXB24T0RRQ8+hghDPiOgOz58oCo+QyYhPoeYEj7ZESs+ABRJPn0xFj4KeDQ+vkswPvk/LD7ZCzM+X+EkPoh/JT4ihyk+DPgtPve0KT5L9Dg+RZZFPmF4Nz5cKDI+/n1GPuQLOz6XNCk+Nxg4PvuIOD4PPjM+h8M/PkHLOj48wig+JSZDPimHNT7DMC8+jtNYPsXHSD5xYCU+38A5PkSSRT6G3Dk+9K88Pvo9OD6mfS0+4+8+PgaATT5mhkE+/DhHPhyyOz7T80Y+GD1CPt4xMz5vbTQ+qEI1PrLOKz5XRzc+2Z0pPhVoOD6nCj8+E0JIPj8COT6pGzU+yHEyPlMONj6hnUE+FFVGPv03KD5+FSc+GvREPmH0RT47O04+ZDo8PkiQUT5wu2Q+htmKPkFbhj59pUk+/DtZPn7vjT6akGc+rCE6PjiDQT7hPEM+IvgxPrHqNT5rizI+i0E1PpgaXT6bPmQ+/MhQPnbxVD5HeEU+gAdBPpdrSj6AJk4+gVVVPnsxQT6bJCk+Z0YuPoygLT4o8is+S3YsPpDaLT7kni8+4Cg1PvHQOz5l+S4+t8IgPvP4LD6QMTY+8GYwPixdNT6FuCQ+LfkMPgbAxT07qdM9lekkPlK5VT4C5UY+vShIPtNROz4GWlE+t8pKPnvOQD7wHTw+XD0wPh0fLT4KFCc+H+UzPs3KND7Vkis+P+gzPq78Nz4SNSM+esYoPqTCKz4KHUs+pPNZPjN6Vz5FCUU+meArPgjqJz5vdCs++eAoPhT/OD75His+RSgoPgQGQz44MjA+REsuPrlJSj5M8D8+BrsyPplvID4vPUY+fEhFPv3nJj59vB4+8hsoPsEaPT4diUU+ABYjPubXOD4xEzo+mp40Pl/2Lz7jBDs+rFkvPr8LUz6TokU+mwAvPhopST7EUjo+ZY4hPtlgJD7t2i4+LixRPtcJRT4VOSM+hVkkPrptJz6J6z0+qIZtPtfoTD7KjSY+FQVBPivJRz5yxyg+zgU7Pj/gLD51MRQ+i8MdPnLVHj6+IAI+fvoMPrf1BD7cvzY+iRhKPupuKT4dSS4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/OcaPPUpUgT0jvHA9hRhlPWqacD1ugHE9U9RsPSdheD3ze309s/+EPWvKXz0GIEc9Lw5VPSf8aD1HnH09og6FPQD3cD0tCWo9RAduPRspUz1t4ko9rXZXPRYvUT0MkVI9elFePRU6cz0R5XA9wHFgPcwzYz1LLnI9fIlxPTumcD2tFWk9DEdpPVDPXT3PFVw94mFvPYoxbD1pwXA9AnWGPYHchz1BoIs9kymGPayDhz3ebow9yAiRPRzXkz2PsZA9kw2HPTGehj3XQ4A91bRhPS7KXz10WGI9h0tjPWhmdD09T4o9otqMPWfQjz2VHJY9gal6PSykSz1USkc9IshUPXENZj2OfIE99ryHPcg5fj27THU9ERlfPQ/uWT2UbEA9BPM7PeSWRj3PMU897iluPekwgD1x+YQ9H/1/PdE7iz240o09tD+HPfKIfT2A94893X2mPbpSjz3qQHE9zE9QPaG5Rz0+dUE9au9SPSsWbj2JYYg9BMmKPZb2iz2mZHM9zANhPYYGWT1312U9dmlhPaFDYz3KfF09FxdzPVGafD1w5YM9kbh8PccDbT25jVU9s4FMPQ4fXD0/zV49SdN5PcgihT0b+3M98OlZPUykPD1uoEg9oB1aPe64az1BgFw9scFMPaz5TD0w3Eg9yZY7PSdXNj3EXjM95D9CPeHFVz109Fc9VcxAPUMSMD0l4DA9C/s3PSmyRj2cRkc9vCJNPblDUD034Vs9XLxfPTadaT2BgEw988VRPW3BYT2zt1893KBgPb0gbz2BU3Y9+a5vPX5Lbz25UnQ9wxKFPZKAfz1TRHk94nViPYhZWD0ADlI9INlOPXHSTz2SREg9EW9YPS+6Vj3YMlc9bO1TPaFBZT3psVI9prFePWjcaj2fTTY9IRAHPUFdAz3S9+48L/AZPbZMLj12nZU9bbk4Pi/9Zj52tzI++rsQPgHmKj7FOho+41o6PoHyND7GQyY+z64vPlXMNz73QzI+Y5oePr7mID5NlCk+z8onPo6RJD74yTE+GB4/PtNkMT4FMjY+wnY3PuCdPD7StS0+5/hHPqojVj6d1T8+FINGPh0kUT70tzM+GhFFPjnPRT4gQik+8Dw8PoQHND5ajDE+J2M8Pt6ZSD6zqEM+YxEVPiVz6j3PF7o9DgPAPUqA1z1mJRQ+HdEIPoyMAj6xHEA+K/pHPuKoQD69+jU++CgwPqNZMj461zg+tLghPnPiUz4I/0o+gm09PoLNKj4rBik+bvg7PqHnMz6MmEU+0xtJPjmtPD7+cj8+GedAPsf5Oz5/UTg+fLwoPnjXHz5h6Co+QJ5BPunBTz7DxDE+sTk5PpdOSz5OMzM+x/1FPhOwVz4/Ikg+KwlIPgeePj4kND8+xFtEPrNyVD66qTw+hp41PvooNz6Xjjk+oG0vPuqkOD4x2DE+yuc8Pka/Mj74sCM+p/InPmE5KT64fy8+jdInPt2fJz77HCo++f4wPh46Mz4RsC8+32s/Pk4TVD4noFc+v0lPPpcMSj4BLVY+8ZZEPgWVNT4FFTA+Y79cPndDYz7bp1E+6PQ4PrdxNT5PLT0+LTstPvWoOT7xSjE+XX0hPrGTHT6l/yo+gYcaPs3eLD6ueCQ+u55PPi6UQD4/Fz8+Xk83PhyHNz7rSDU+mflGPjBMST5EjzA+XlgqPnlNKz4RbCo+fjkqPgfWKT5WvCw+RH8rPrMHJj6eWjU+aK8cPszjFT72kyQ+oD0sPrV8Mz5jOGM+DBZOPneBKD5mvSA+qvwxPrj6Kj5o8U0+z5Y0PjQkYT6vjls+MMc7PqgiQz76R1U+nNZUPpGpUT68o0c+jiQOPsV1Gj4TEjE+pWUpPrqyIj7OqSc+7PJcPrcuPz6weSY+9EcePu1/JD7YXDQ+HFBWPvgaPD5zEyA+/fIxPpdrLD6B8iY+hIYyPl+CST67TjA+hjY4PseVED6x1vM9zMQIPtRjCz7ecSc+G6oePnR0Gz5OZxE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/msauPduAkD3gg2w9Z31uPTyibD11WnY91O5sPaSDeT0ZbHw9KwmCPcbvhD3eon49v255PZvrcD0x92k9z1pzPcEsaj0raVc9OvFRPa/tUT1rU1s9w0BOPbwOXD1e3G09fhR9PckklT1KeZo9afuIPTATgD0Wk389Dpt5PZeiYD3Fil49ZbFoPbxFZj26Y209Pf5sPYZjbz0K8ng9ddmCPZi2jj02BZ09juecPfJOpT0Mcak9xQyoPflElj2q/pA9zuaFPVssaz3EnFo9Y51ZPTWBWj0T+3I9ZuCAPREfhT2VBpo9Q62QPcvpjD20oZE9lNJsPQQwWD0D6Us9n2JZPSludz0zNXA9yPdiPe9WYT1CX2g9tUZrPbSCWT14qlw9/0hdPYnHXj0euW09ieSDPU5Yjz0ktpE9oeqDPS8xeD2DOIc9L1qNPbcOiT3B1o89eI6QPTlVdD2gQV49aMVSPf9DUj1bUWU9B5GBPertej09F2g91fhbPXhCQT223lg92QR9PddjZD1hgWI9EmtsPfTTZj1MMXE96RpjPQspYz1+wmE9PrJlPR6kYj3eqVw9x49cPSW1dz2LBo89mHSRPZh+jT0iSYY9brBmPVsgVz0ti2o9wdBnPci4Uj0wqE89+OY+PXhmOT0xrkE9n7o9PRFAPj3em0g9KAA8PeRJSj0JbUo97ZJBPSC1Pj0Kejs9FvE7PXWEUD3TolU9zjFBPUjVWT10M2Y9/9RUPcI5Rj3GWEg96V9LPZfUWz1aZVo9DyRePQuecD3ZeXw9FHx8PYMpdj1odHk942NwPZS/Yz2IL1c9Ma9APcSsSD1JSFE9WBZdPeXiVD3hS1c9JaJbPTzaZT0VCGo9VZVbPRiZcD0mZYw9j+SZPWN6kj25Vhs9EC7nPEcAAj3KGB49mgkcPV32cD2omxE+Z39fPu2GaT6JCjM+Nu8kPgacKD71QDk+A7A/PlrfMT6KoCM+NwUqPi0kND74FSQ+Oa4qPlfhMz7KZSY+5xwqPgm9JT7KDy0+yYxHPsIFNz7McDM+Q9E8PuitRz5rA1Q+b3ZTPnFlQT5XOUc+gedcPsWuPz7X1zk+nRFcPiUrRD44OSc+Pq+APqccGT6a+zo+Xr02PhbkID5g+SE+EP4YPlShMT76VDs+gmk6PvzNMD4oJSY+WMoRPis+Gj6+n+89wqYKPscsLz70szo+724xPpR9OT5yZ0U+4/hZPmlETj65PTc+3TE+PrNdQj4MeT0+NvtAPsqQUD6B4Uo+ErYwPu0EKz7EZSs+aBYsPkD1NT7VKT8+r2Q6PhZtNj5Hpyc+KBAoPrrpLz73jCw+wY8dPvmcGD6JBCA+xDofPpCMLz7HKyw+hsRIPiMCOj4iQzA+hGRIPvw8LD59uDM+J0IqPtbbJj6QECE+rUQjPrmuOj4P1EY+DN05PiIBJT7LZCI+rLcmPr92Kj4Dej8+p1ExPjgOPT69jDQ+7L46Pt2vXT5wLlc+YbhIPgsnJT4b9SA+a0QuPrBfNz4kulA+GzlTPsz1Vj5qmDA+j/tNPpzmWj7PmGI+gbYoPsQoJz6QATA+G2U0PhcIPj5PQTw+mtcuPjsSKj67wh8+4HkePr+/Mj64vzQ+fSEvPk7wMT69cTU+zbgwPuxoMT46uSc+NGcqPk9LOT60dTc+HpkzPojTMz6gdTE++XgfPvhaKD724S0+v2cqPgJ+RT79hl4+CBA6Pou8MT7v1R8+69wyPiJFLz5mDFQ+EmwnPrp1Jj5WSDk+/SAwPqUNUD7O7Us+bgFFPsfqRT5WKko+DFlYPg6oQj53QDs+GRgxPnOAIT68ASQ+T9YmPkwMGT6o3P89pv8OPmk0Kz7DWTY+9T1CPk8lLj7edi8+em8sPuieUT7nkUU+zKozPv1wOD4YMSY+BIU2PnlxMz7SQi8+ucMcPq30DT5TxhM+uOsrPqiaJT6PbgM+iVgEPv7fBj45EAE+USb1Pdz0Ej5Dnvs9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/qcasPXvjlj2NyIg94vWGPTVYkj3npJ89QQ2DPVDGbD2+ZWw9IulwPSlefj1ddYI9rKx/PcAMbj1Wbm09c25pPWoUVD1y+Vg91iFiPQf1Vj2foVE9apddPQ46cT0S54Y90/2GPaH9hz1zUIQ9YfOHPZ7wfz3ZpXA9sCBYPVgSTT039U49jU5OPWmWZD3aVXI9vhp0PVAOgT0//JE9iY6WPR9lmD1cL6Q9xdqcPRvtjj3bRI49fbuVPbxkjj3LNYU9EzhzPWbvbT2sr2A9yGByPSiTej3dRYE9/NB8PQ/EhT1oM5U9awWQPfuZej134nI9xZVkPfx0bT1JUV49DR1SPcF7Vz0rgWQ90H1uPYGaXj1mwWU9pldbPXOkVj3Q5lo9iv1fPTLlXj2K9HM9KbKHPYjkjT24fXk9nD5qPY1rej3qoIc9fdWJPYiSlD37pJM98w+SPdw+hT3StXA9QZZePQrQXj3opWY95RtYPWyBVT2C7U89/WJNPfMtRT2U/0w9mOlkPYDEez1G0H499CWBPVU8iD1VInw9oO9ePSeLXj2XFWg9e51hPTnqYT0TwW09xb1sPSn5jT34C5o9ZBCMPcsBaj04ZFU910ZPPXOXPz1WXkQ9a8pDPYEmNz3qx089JjBUPW9zXz0R8WU96+JpPfX1WD0kuU89zfc7PQUrTz1KeU09xHQ7PRyEQz2KH0g99PhRPUHqUj3Bl1M9BdY5PQJBRj2m1UU91JZLPXygXT1gGFU9jChiPRJCWT1IkGQ987FvPd3mfz2junU9QeByPT6UZz2RCFA9oh9BPfB8RT3sJ0M9qMlFPSqBTz2N0Ug9aI1UPVVUXz0TK1Y9n25OPdBiVz2ie1I9zA5tPcbL2D1KSS4+mwFzPiF0Rz7lA5o9nbN8PSashD1QeZE9Mn+ZPZX/Cj6v6k4+agxYPg5oSj65+UQ+wYxJPvASMD7z+i4+kDQ1Pvq2ND6kpyE+AKgbPurHLj52Kz4+t107PpvSLj538zY+xWY0Pjd+Ej7LID0+CipfPmPfSD5O9V8+puRdPphqUj7XmFA+/FFDPj7aOD5LPC4+WkEpPjKIHj7slRc+GqAfPijwCD5bgws+LkvbPTV5zT1qq9k99E/wPeDtyj2CD849c1AXPmhOKz5hlk0+VBZLPkv0OT5MATQ+h0otPow+OD6aoEQ++182PtCpHD7hpAo+t28PPuovEj6ufBE+xjEjPiSJLz6qxiM+buIgPqlTIT5f3is+TVEvPv+tND7pfS0+n4kyPoc6KT6KODo+Jqs6Ps9OMj4rlzY+c9FEPoHcNT68iTM+6nQ4PtDAMz4AuTI+o50fPi4EIT4UVh4+86crPlu+Kz6pVis+r08lPs8qIT6/ESU+yA1FPiRoND6DKjI+dIkyPke0Oz5Kjj0+6Dw0PoBROD6qQzs+/489PpleJT5oACQ+rWkyPt+sOT4heTw+6qtDPoDOKT7hFjA+0NdKPlSrUD4N11g+skZVPlAHKz74lS8+EGVYPu1TUD6wZEo+r9VVPu6lNT7HUCA+aCctPhOBOD7Ft00+uDsvPuq8ST6YQUU+yhotPl1xMz4e9jQ+kCI1PmCrMT47pzA+O/NAPq85SD5IMDk+kL4mPlDfRD6YWEs+jEA5PoBrLj4VbCM+ptMYPsgwKT5wdSs+30g8PqBVOj4I40Q+KgYtPqW9Pj5rvTc+mAc4Pr2bTz48UDw+T9xZPid7NT5+XDQ+qi88PtHVKD5HCCo+OW8qPq+2Lj6feD8+lmBDPsl4Oz7JVjM+Z/lRPmQjTj69wTI+GncwPhTpND4ieT0+fkVBPkHeRD4TZVQ+A+RBPu6pJD6Ocxw+97sdPtGRJj4ZEB4+x8MpPqwLKj6S9jQ+V2FDPs6NUD6U/kE+eEkmPmh+Mj4n4yo+EV4dPrPsJT6kVCQ+PFgiPpl5Gj6SMx4+rGUgPkEcCz7QXvk9Qi8EPmjgBT6UtAM+s7rxPXC/+z1Iy/I9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/52xKPtmE+z1TvpM9tRmsPTb0mD2puY89Hlp8PaIYXz2R71Y9FDNVPe/kZT15wIA95VN2PeF1bD3/s2Y9uVKCPUIzdj2FsXA9ELZ0PT/OYz0lllk9x39gPcXmcT2WhIQ9bdqDPSZaZT0EAlY9zNNWPaQkUj0i2GU9oUBfPZobTT0h5EY9CSVJPbmAXT1QjIQ9+IeLPZGRkz2qHos98Y2NPXxNgz1wjmY96zxqPXTDgT2c2Ys9xRiKPYcYjD1QpX09BJJqPXWnWz1/nn49H0OGPWfFgj0IQpc9jPabPX4Vij0rLXs9EDZoPeNoVD3S+lk9PSNcPaJqWD1o5Fc9IcVhPU68dD3vt2g9QJ1jPTk3YT2RwmM9QJJmPXGCcD1ztmg9KXJuPebPfT2JaXw96qVtPSWvYz3d2nE9qyhzPQfzgT2bcYY9gVOKPcrBnT0RoZU9+cd5PcbcYT02Alk9yOxqPaQXcD0zbG0953hNPUlMRT38Fkk9LLhMPeB9Xz2k+W493wh3Pa+Kej3kEHk9DbxrPf7SfD2rsGs9fJBQPU9iXD1y/XM9DvdrPS3oXT2OnGU9f55tPRAWdD2Y/Ww9631OPUIJQD1cNj49RYFQPdWTTT0EWko9/bxOPdnPUj0SQGM9OatXPX1kSz2Ck1s9GahrPVXmUD3QhUA9QrczPUu0ND2xaEE9f7REPRskQD21jkM9SiBCPVWMVz26TlU9fKRBPfx8Qj2cokU9wntcPaV/dT06gVY9QgNZPT+RZT0sbn49o2h/PeV1Zj1fAlA97YNHPW8sQj1XiTk9gZtKPTxGSD3f8zw9J5E4PZBNPz0qOlo9FIZWPf6sZT0efGc9MKRfPWBHVD0F2k09nD5oPbvd1j2Nhg8+JtP7PSoX8j2oxcg9P3b6PUhPET6WUEk+rhcNPpluIj75XzY+yPpKPmwgUz6XTko+WBFSPla3WD7Jn0k+FrQ+PqwjNz4k/zA+lH4rPmmwMj5KVzQ+Dg81PjVQOT45iE0+2XAnPrhVJT5TLjA+v6skPujfEj5zwgc+n7MTPl3KEj7p4Qc+9qcNPnikCj6v+g0+mfkgPtfpKT4ouTA+TtYiPkkLID4jkRc+75AcPqE8Kz5XX/k9juz3PQ4g1T2deuY9g1gnPjQlCj5rTCw+6lVRPn6lNT7Vqkg+y7E6Ptj9Mj71ajo+ogE0PlvqPT4GFTI+Vgg0PqDvRD65pj8+8A0+PrNMRj6P90A+xzw9Pia2KT7RHzM+vuE0Ps2hPj78kVo+/TZPPvU8ST7GfEQ+km8zPtB4Oz49/DQ+gNw7PoaBMT5b7kA+DVpJPlB4Rz6seUQ+Kj4wPlgsJT71JUE+WmA0PqLxIT5/mSw+aEgsPkLOIz4UbTg+rDddPncWJj5aZkY+xXRGPhk5OT4M5lQ+Hj89PggrKT4j/iw+jzIpPs/8Iz5uxyk+yk5BPkFAPz6zZ0I+Q/FRPlzOPj7Yqlg+A7RhPtYQTD43PFk+sAJTPifFOz4Uwjs+B0ZxPkyDTD7/hy4+k8Y3PmH4Rj7avzM+wNoUPs7ALj5WHD0+6wI0PhSBQz5w0UM+F5cnPj1bJz6RuyY+J94rPo6mJT4eGjU+KzQuPqd0PD6pLjU+LLEtPmieOz4tBT4+lJM5Pk8ePj7tETQ+disgPs0NMj6H0T4+6PwzPrCbIz7iwiM+hBcfPmYGNj7DFDA+F+86PnyLSD5opTs+0iRFPqO+Uj7scFI+jLQsPokLSD4SBD8+dKY4PumWPT4iU0o+J7A/Pkn0Pj6y/S8+ZQxPPu9fQD6FLDc+O9U9PtgjKj4TzTE+fZA+PrHcNj5LVCg+gmhBPvlZMT47xyQ+JPMnPurTMT4qPFI+fLpMPm9QKz7WIR0+A89LPk9BST7JczM+wvlTPro5Nj4jUzA+VksuPqIDID6iMyE+/skwPuEOJT6DxVM+wNc5PtwDLT6R7TM+kgQmPqCoET5Fkw0+JCYGPipmCz4d7wg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/zuZ/PknPDT7C6I89CPeGPYsKZT3RwlM9rVVNPfVyUz3xpW09brlzPZp4iT0VnJA9nxaSPRLtgz2gGXE9Z3F4PT97hT3FHIM90OJ4PSOHcT37I1w94+tqPS2/ej3VTF09vgNJPSJDTD1pLU49urpJPYHhQj0eeUM9WfhaPVTLWD1l/lU9t65yPSIdgz1bSIE9gK59PXy0cj0FNGI907xQPf1paj3gN4A9q4yDPd+2iz1q/Zs9LfiaPfZ6lD3Gx489oxKHPeiQcT2GAoc9XHONPRragz1lH5Y9TdGIPVS8bD2ikk49mQ5IPbTBPz1D70A9lI1ZPZ5jcD0j6mk9jnF7PR+Fez0bqHE9H5lpPWwzVj1HcFw9CYBfPTqQbT1rPG89egh9Pf0ngj0OnXk9AAZ8Pf9xgT291ZE9vauWPb7qlT14/Jc9k3yUPaZGhT0MN209Ywt7PbLIfz0BKHc9PzRfPT9+ZT1T9WU9TlNnPd/7Wj2byE89fvdvPW4heD2pQ4Y93W6HPS+YbD0jHVc91sZHPcA4Uz3Fx2o9cqtaPXfNZD3hnGQ9cwliPR4faD3Gx3w9zYmEPXf8Zj3CMGs9uCRsPT/AWT0LDlw9SsFaPTjWUD2AmE09f11BPYUVSD1Mekc9ssFTPaUWTj2kzk89Tw5XPVrPTj0+UEk9fwVEPcAcPj1b8zk9uWI3PRnMOD1iNUY9SdNGPfFPTz0t0F49TXlVPRusTz3CR0U9t6JUPZatXT0CfUU99phaPViQej3n7nI9WDNgPbvnTD0lGDs9LZU/PTCRQT2rbUc9WWhRPSpxTz1rM0k9YU09PdgsOz08nU49t75lPXgJaD0r+lg9N/xEPQD/Tj1HoE49vnc8PdngVD3NbIE9pB99PS9tAD6T2do9rzvlPZYi9T2+PLs9FUsnPnhrTD5ty0k+hH1YPuyXWz4d/lw++nBEPho+LD6eGTE+OPE+PkFsUT7t4xw+UFoHPst8BD5Q3/I9YTQDPg6jDz620Rc+44YUPk6+HT7MYCA+I3cePkIlFT6wZCU+JbZDPgqKNz5k1zQ+LJMYPjiYEz7hNzU+gaQ0PotyLj5qai4+rQ8MPlt4JD7rGTo+114mPvssOT51HGQ+TItRPu2kOT43PyE+lecJPkQq9T2qGRE+s+ohPkS3Dj4piyg+0J8vPuVCKT5fIiw+DNcnPhWjJj5MvCw+fn4zPikBMT58lBg+J1wfPlgIGj4HEUs+bhJDPr31Nj7y+k8+AF1BPv5KOj57UCA+dog3PgBQUz5tcDU+KlojPjkYUT7N1Vw+luwiPnf9IT50nE8+3OBkPhjlZT59dU0+mSI/PpCeOz5l80Q+oes0Pts+Kj6Xxik+3vg8PiLSOT4JW0A+U2BgPsneKT7tTDA+5Ec0Pu1JMz7O2DY+2ksuPkhYKD42fDg+YCU7PoIcKD6m0TU+8vY9PspVLT535y8+9HhLPl13QD7LqDU+d2o4PodoMD5LPC8+5bM7PvxbJj71m6c+dQWcPnTBWz7BkTw+Jk4mPlspHT6wbys+CspQPhV7WT47TFc+zWhrPi5qYj6r0E8+V5I1Pv2jLT5ejC4+ulE6PpetNz5v2Tg+8eApPtEWLT5RdTY+yOYwPqRFMD74YTM+CbE+Pr6OPT7MJzc+YI4kPpjNQD7mcVY++4FAPgDRJD5EaRo+7FgTPmr9KD4QhyU+Jp0pPkdkOz4TKD4+3xghPg+DHz7tZSA+vQ4oPrXdQD5CNCI+LslEPuhXNz7vfSk+Gh89PpPJRz7R1E4+1j9JPmNrLz45wS8+mnIuPlWyMj4fXS4+Tvk5PoLfQj6yPUY+PGxnPuonPD4liB4+u6kiPvqWLz6AgSA+p0ZlPuL/Pz5MzSc+GsojPpXGTz4OY0g+eJFRPuEwQT6PcTo+KUBWPpSiRT4CDTg+4O9WPr2gUT4XzTA+2lYwPijhMz4TgBU+oB8gPsd1ED7ksxs+CvAbPsXRHj5e1DU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9lPpj00JHo9pXp1PV2ZcT2nmG49c81RPWp5Xj1PkHk9kSeDPX/Zgz3cVIo93MKFPS20gT03yXs90kNfPShAbT0D8309zxiFPXfBhj0tFWg9+cZQPc0HTz3FDFg97HFnPUGyWz2/m0Y9RvpOPcQ1WD2/yFs9gwVoPRhnYT369X89UZ6APSCceT2xS3o9SkxvPTnQZT2wzWU9PTZePdEjaT2Sh3c9hk2GPWnalj0uTKM92W2QPYZagz1QQXA9XndqPbEBdT1sPHo9P4puPTgPcD1Wjn09/hZmPVBaTT2dLT09W18/PXr5VT0NJlo9G0RiPVBvZD0LjVc91rlTPRv6Yj2qjnc9X+WAPeAuej0FAYQ9RhSAPQBKhz19Ooc9RiKOPUN8jT3J2pg9geyaPfeVhT2Lj4k9uRWXPU9Vlj1B14Q9Tzh5PeWLdD2rhWM9Fn5WPW2yTj1N8VM9zsllPT2Gaj01PVg9GkZhPZzvXD25q2M9/AF9PVK2gT07loI9scmJPVvIfz3C12g9R0VtPT43dT3ISXY9YLppPZ+veD3yq2c9q9NaPZhnXD29XmE98plhPZ6+YD0+xWw9RvF1PfFddD1LKm09tjdaPZMLQz0pzTQ9dAszPVN9PT16r1Y93EFcPdibYT1ErHA9C+NyPS70Zz3/mE09ADRJPfs3ST14CkA9MS1FPX7tPj2HmUg9MTNOPWX4Qz0BRD492SBNPTrZST34F0w9IF9LPUQtWj0R4XA9RUV2PUiRYz0v5Ew9Co87PRysQz2pDzo9zEk7PUDVSj2MlVk9frNYPbdkVz2AoE49aSdTPbE1Rj2CoEM9jEQ/PaoFPD1auEA9UxpBPbO8OT0GGkI9B9A2PdH7PT2JwE49/xpHPT28Lj0nJS09ebhfPTUm5j3FBeY9Up+uPR3nLj75YVI+uU5WPplBQD6J2DQ+XqA9PqqsRj7rSU8+jXdjPjvVID7fOsA9n7olPjy/Lz4IDSQ+KrYkPtFDHT5rpxw+SNwjPkMXGD648hw+abEjPjbKHD5D7ig+vksxPnRCKD41KT0+PxQuPndzLT6w0Ts+XZZHPjyvLz5vbBQ+2OAQPjsLJD6ewEQ+IFI8PrYHGj4ky0c+kwcwPhAPMD5to0A+4fUwPh09MT5M0zg+wTIXPtUHEz7RIR0+OppFPgDMQT4iTzI+IiUoPt0FHD7GBy0+h3gnPrBrNj7EGy0+gxUoPtzFLT7MLmI+4HRTPn+3Jz7y7gg+qc8jPk8nLz5KjgU+53T2PU2NFj4cTDo+hfw+Pkh8Yj6zJFM+Xm0dPt9zGD76lys+xoFEPgwNWj5Av1o+hu9APhC6Iz5JKh4+Ebw3PiJ7LT7mYTc+oA5oPqMfYT5Z0FU+Gu9VPmJnQj6PSFk+3ylLPlP3Wj7JM3I+HG8yPioGID6+Oio+7cE2PmDnMj4JDDQ+bgQ4PhpBLz7h/TQ++v1RPg8RMD7ZKCY+oK9NPrrAYD5xnVY+Q+9MPnN3GD4lTlk+jpl7Pl6uYz4CdTQ+X7ckPhpaPj6FslA+W75cPvxHWj5jtHI+08ZqPh20Uz6/hUU+ujNBPr1cMD7a0i0+X7s6PsUxQD6l9ik+Dm8dPuA6Ij5O+CU+VzkzPv+mPD4AkS8+Qrc+PhXxQT7ohzs+QMo2PnipYz4gjGw+ZFpNPinBPD76+S0+xtApPjZPLz7GhDw+C/E2Pkh+MT4+uDs+66U6PkngND4Kgxw+OoctPsVPNj4USSI+jMgoPqpcMT4LEy0+a2AiPpF1VD4GhFQ+UStAPvOlLj776DI+aHE0PjuZLD7PE0I+92BVPjnORD6/sVE+y8czPrddJD6oJC8+w9MvPvWFRD6najA++bM5PgXxSj7fOzc+ZQBNPmiWZT5ssUI+PO4yPmhQMj6sITE+hG8xPixYST78uiY+N6A3PpmMHj6SYCA+0TkNPoQxCT4jRgg+Hv0CPi69Cj7wPyY+VToVPiZTGj4v1RA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1oJvz0QOpA91tmAPe9waj1w3WE9xblqPeaRgj2W/4k9WwiLPYQQgT1vTHU91PxnPVIvaz2BGGk983J2PSa8Zz2TcWo9mLBiPZP9Xj3wAGY9ncliPed0WD3oU1U96GtgPYLgWT03/EM9oulJPR4gSz2P4kw9fb1jPVWbbj3L9Iw9dXOXPSHYgT2a1H89Gx96PQa+dz0h1209PEB1Pd1ReT1k64Q9NByHPaYjlj3un6c9AoqMPSxrfD1MQWw9H7NqPR5gcT1NJmY9VZ5bPQqwbz39PXs9E9ZgPVFuWT21mEo9oCxSPWVPaz36K2A9p+NXPS27YT3EtWQ9u6R7Pc81fD3bkYI9Map2PRzkfT0IHYo96pSJPUcyjz0hyok96QOHPVD2iD2Hs5g9g9GcPW+plT0r9os9JROMPY8hgz3amG49cuZrPUOVUD08XT89l2pOPdCRUj3DmlQ9eGhaPTa9Wz31+mw9RVFnPfW1bz1ZNH89iDeKPdWJlD3AvJE9edaJPTz0gj1Ofm89l8hqPZ6Fcj02rHc91Cx6PadGcT2xuFs9rSJZPdpkVj0dyVQ9P4FJPUWvWz0eqng9cpRvPRFPYz27x1E9gf9GPXyDOD0GMDs98iZOPVRyYD25YmI9zqVqPWvodz3/GH89AqRePWa9Qj2wq0k956ZRPYJPST11hEs9/KtGPRoBQz0VSzc9PG07PZZPOT1PrUA9xhNSPZt6Rj0WLVE9TuRPPXmqYz1I+2w9QyxZPSWWSz1X0kw9AkdYPWa4Wz3f9V09uEpIPVwbQj1I7mQ9zp1lPS+rSz3zZEw9k9tMPXw9QT32dUY9uThBPY7nPT2jEEE9S441PYPeJD0j2TA9yos4PdnjQj0oVzI9gLIgPSlRKT1OeDE9Xv0wPUPggD2SEBk+Mh7dPVJozT2+79U9Om/hPZKGCT7VPy0+MYkdPucLAT6BThk+5QsVPq0nAD6uCBQ+RKkpPuqrCD6tVwc+j2oLPnnXDz49bhM++okoPtNaIz7u9Ro+3gkNPvsjET6vaiI+qUoVPq7qKj4ksjk+zhM9PozmRD72XDc+Mv45Pl75Kz7PfhQ+yngyPvLQNT62zCw+IwUrPi2GMT7mDEA+mdBSPuDsQj79xjQ+BjIuPqqjKz7r9Bs+UgEQPsz2MT79Pko+LU5OPpq7ST79pC0+Y7MnPrWBGj7UzyU+MhcnPtanHD7T+0I+E+hePny1ND62UjA+hIw3PvNHIj4vPw8+ajIrPiPtMD6MTDg+K88QPiEyHj6+djA+nTQwPvVcMT7w6zE+0bIhPn4iFD5bMiM++EI2PmekJD72qUY+TM0vPqYGFj44wRQ+lBYyPjlPKT57eR8+HpQ0PhnSaj7sfHU+9/VQPoT3Sj7Ggls+GUdPPhsUiD7OkH8+tDchPgq8KD7XLEI+o9VCPlh7PT7KnUo+OeJQPvS2VD441lQ+1yVRPlbGWj4pWkU+/n0rPqzSJT5lFSk+65BGPvUjPj75y1M+7JVDPh9VKD6Rkj0+Q/RMPtHsZD4A2WQ+kShgPqEYhj7FMYc+ikxyPsv5WD7M50g+QqE4PsUtLD5s4TU+4nU1PggEND5XuCM+P7UnPpnBNz6eMDU+sbYxPu07OD7KpzQ+oGM6PjB/RD7QnTs+itspPr37OT4Y/UU+Tzs+Pvr+TD4qfFU++qxFPklPSj7Fojc+b6QsPphaKz64tjQ+ZyVEPp6PRz5Uqhs+nbMoPgrLMD7xUxk+WhQfPou8ND5LMjI+RZsuPmqPSz6SXzM+C2Y8PpdSRD45/UQ+Qgs4PvInLj70D1Q+bXY+PgHQPT7DfDQ+gZItPoYTJj4Di00+qOg5PldQOD5U/zs+8JQ7Pvo+Kz6fNS0+SYpVPvVpVT4O4Fc+ghZAPgutHz5SsyQ+fdAwPuC8Lz4QszU+ptc9PmPmIj7/Th4+raowPhYpGD6hHgo+SXsNPtvEEz5l0Bs+pVQePkBCKj7AfyU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyTwsT2L+YQ9vqeBPfnFdz2ui4A9fN+KPV2Plj2KrZc9e4CLPcPdhT17E3094/V3PfJQcz2fwnA9KYVzPa/fej3TM1o9BqVePe95bz2ieXg9VN5+PSmIgD1AwXQ9DkJcPW75XD1NZVI9kr5KPcE6Sj1AFnQ9a4yFPW7+hj1hLYU9htSJPfpadT3YSGU9YfJ3PdYkdT2xzmk96wN8Pek9fD1v5Ig9IVmIPcp7jD0pGpo9FAWPPXS0fz3p32c9uNhhPZldWj1kNlo9w1BIPXUmTD0YHFI9ZIZfPVR/Sz2P4Ec99qNIPVIjVz3fJFA9kiZcPYq/bT2DQ3w9VaR9PXdOdz2VTW890NdzPY0ziD0RfH09u5l3PY9SiT2MD409yEiNPYpLlT2uvZg9l+SSPUpYkD1GjoU9PPiGPX5nij2O4nQ9FhtePW8/Uj0d/0o9Ga5QPSazUz0rdG09DU+CPXZlcj3Z1mc98m2EPcPzkz3pcZk914CZPWylnT2qQJk9jhGEPdMpgT0C6W499ethPSqvXz1uGHg9wxeCPSgOfT03zHc9LuRtPWdZdD3Gx2g93M9hPZO0az2D/l09X1ZVPS+jWD3MTj49lrNCPV4MTj0QU1E9kctdPcwsZz3ZlW89oAxkPZnnYD2tuWg9cfFTPRbcQT3++EA9sT5APVeiRD3/eko9rYNLPTjASz1Z9EQ9MXY+Pex+TT2Gf049QntNPWS1Sj3MnV89HuNqPbf2ZD2KYmk9o3VlPaTMXD1M8Fc9Cd5bPVi6Xj0Pc0o9iGw7PZzIOz1gtkA9yKk7PYoOLD3geDc9xUw9PZtdSz1v9FM9P1VJPfgTMD1VmS89xhArPePJHj2r1h89KpwfPVkOJD29cho9KJcSPbKdGj1sYko9HZA+PUF3pj3bSTo+dlczPqctGD4RUxk+9xgMPhmkFT7f7i8+yuo7PnfAKz6EOCQ+ruUiPuonIj5tARw+9O0TPjRHHj4V9SQ+HYIrPjwONz5elCs+L4IvPlCAMz6XDjE+4i4zPrLuJD6rEx0+B/YUPqFDIT6YVxk+5/krPq/qWj5Y21M+CwAzPgMNKz7NDyc+E6sjPltJJD6JGBw+A5EZPpxART6vf1U+zCSCPh7UXj6njiQ+ZcomPv1rJT4NcB0+qnYtPjXyKj6CQS0+dvwqPlIlLj5HKSI+oYEYPpBRGz7rGhA+a0gpPltDNT5iwTo+dBBHPsQMPz4oIj4+KoM0PhchPT4iKzY+jYgmPkj7LD6j7iQ+FxEwPrC4Fz4juBM+Ty1MPqYuVj5LdEI+WOc5PiifMj5fpEo+ayIoPjMUCD7EvC4+pzohPq7KHT7Asjc+H+tCPr6RLT7pcQw+bYMsPkFcOD5SQTU+Z7MtPoYZMD7PfjA+mH8wPhhdOD4jWUI+YEw2Pib2RD42MlI+iblSPvcCVj4C5lA+ITdZPvUsSj6WKDU+amU1PnQrNj5BzUE+TepAPk3sNT7kFx8+cyg2PhWMKz7WakA+QFxDPkn1Lz4LwDo+BxQ9PldFUj7myVQ+tCdWPh3fUD7fPVs+tUtaPu1sXz5wKFk+6xNAPjAsNz6qsyg+kkkkPiX1OT6OQDw+uM1CPlIWWD6NVEg+bZI4PsNSYD4OHTE+QywjPhvzLD7fxDk+UjEePhM3Az6WnCo+CtEpPh1CPT72gE0+a5NmPuNPOj7nww0+FDcbPu92Lj6ZVjM+YYk4PhD2MD6Lwxo+HGk1PrvwQz74IyA+iKsnPpT/LT6uCCs+uZg/PvEvQD7IoC0+MNInPjZQJz5GvSo+mCoyPiAKSj5lgU4+TR81PuvzHj4/cv09qnUqPv7XIT7u80U+SwJFPgdiGD7DLB8+4QchPsw8HD4ykSE+G/wZPj1TOD5xHVw+u+clPrXUMj5TYDg+LIYzPlbhMj4m/Ec+F3o4PgCORD56ECI+znUiPr67LD7f6Q4+y/AEPpmBED7NvhA+t14XPiLZGT6nuRc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2ap5j3LT4c9OMSPPVKFjD33aoM9E8N1Pc3fcz1Rq4c9jceRPZd1kj3dRYo9ITdzPfIXcT27X4o9tU2RPXM3fT1caH095z2GPct6jD0cYYw93qeFPTuecz0P1V09OXdRPTn6Rj1Xskw9K+xYPep8aT1XPH09P1OGPWqCgD1iPXk9bJ1jPRG3az3qRog9edaLPUJqiz3z6YU9LWiCPfUOhj2ddp49WjuSPVPhhz1QFIQ9GTKDPdBWhz19B3s9KitzPV5udT1famM9YN1JPScDaT0tlV49KeFOPaFDTD3Hs0c9GshSPeajXT0hf2g9QkhiPR57Zj1+omk9a6R7PQREhz1XCJQ9xhaMPdLqgT1sw4Q9dTiNPZWyjz0+Bqg9FP2qPTShnT2BKZ89LR6WPRFmiz1a63k9mYt1PdGXaj3dd2Y9/WdpPUjuXD2iVFk9Jf9iPcf0dT2f5Yk9tEWSPbXIiT2KYYg9Mk+YPawNmz3WGII9a+96PeQKfD060mc9jx1kPUTUXT0OxVg9wmNnPQIpfT3qIXY9eNl/PXFKdT1vvmw9rN+APYyUaT0Z2mA9mf9SPZM4UT1gWlw9WJtfPTQaZT0NhE09EYJHPeOlVz1ZeGs9K+1qPX5mdT1DgGQ9Hs5HPVccOT3x1Cs9MOMoPZvhPD1qQUU98tpUPSUUWT2PMnM9G7FtPYMiYz1CQW49GuxkPb7ZRz1vJWA9GNBmPfjvWz2ZjVk9EqJePSYRej1xb4U9eI53Pb8nXD2hlE09PVFNPX0KXD1z8UE9Ch4tPcPvJD1ZuDc9OjY1PWc7MT2J20Y9ZL5WPZzWaz3UFFY9xWc5PYzVKz1DdzA9KksoPRR2JD0BKyQ9UAwhPZi/Ez20Mxg9Bk8ePY6SMz0dTjY9RaIrPYtM7j0/qlQ+94w7PtPpLD7Slyc+RnMwPq8CLj4TsCk+olw4Pm2NQT5btTI+FvgvPsNtLT4X3So+X3YjPiPHKT5rkCk+8dktPgW0Kz6ReSY+SrIzPvTXLT5s70I+0PdGPuLDMT4xzSc+EHQqPlHhJz5nKy0+EyY7PhkxUT4KmDo+/os4PkPUKz6vJCk+Ks83PtvbLT6peCc+65gkPlyrJD42OlQ+A4hpPgGHOD7WLxU+SahAPpEOLD5tVyQ+FRA3Pn2kOz4QW1A+WkA9PpfkGz7N3xI+hSQZPgGPHT70QzU+XFRaPpgFYj4vKjU+YIJmPqdOPT495To+7nw9Ps5oKT71yTQ+m8EvPuU+MT5KyyU+XbogPlUUKT4vlCw+YCQpPkl5IT5NzBo+upknPkwWGD6UBx0+b3s2PszIMj5RWCE+cRshPvTPQz6ju0E+u442PgztOz6khBw+UxErPoipJz7Pzic+ijImPlqcIT5KUzo+acQ8PiNdLT5bYTM+r9EyPpr7Lj48KzI+CI4xPn+uJD6imyo+d9suPh/EMj5uSUs+7xU5Pj7YKD5eljs+1khPPgIpUj752EE+wxBOPtnyRz5KKDk+IBlEPulhTD41eFk+ebVNPtdPPz7/3UE+OLkqPha+OD4X5oY+b2F8Psu5VT7BV0Y+3uNHPnadQT6hDT0+eKg6PjTWUj6mm1A+qwc9Pj31Rz5OOzA+ecZlPrzMaD7DKEQ+dXowPqcsKT4tFzU+/vBEPjVfMD52gBs+ehc1PvdEMD7opEQ+2OBVPq6eLT7KB00+aP1BPtoCMz56oyQ+bIEoPiKSND7eFTA+NEAvPuQAOT57hDI+iJYyPhEgNz5i2TI+ZY4jPjtoNz7rnUI+v2dAPsMqND688ys+6FA8PiOQQz4B5E8+Jdg+Pi9cLD7MCho+5DszPp8cRj5tiRw+G80KPjDyEz4u3CQ+NDwaPvAdIz5C6yk+oBYvPjDGLD6DlFg+1AdNPmlvPj6Sc0E+HZorPiZmHT4vICk+OCclPlK2Mz7GLiQ+pp0ePn7FNz5J3gw+lx4uPooeNT46ExA+bhoiPv6THz4smBQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwga9D0Ty5498tSOPf4/kT0Acoc9LcZtPVm9YD0OenQ9Tk2CPTVzgD3Md249CatiPZ2RgT2kY5I9vAmUPc/ZiT1otow9oOOQPUEriD0gx3E9VodiPRevUj3zbk09i8RPPQI5Uz1teVI9hEdRPYdGRz2rrEk9hltXPcMtaD0Q4nM9ly17PQgVhj1H+5E9cGyFPR7Kbz1IUmw9cSlWPdVzTj0JemI9z0ZjPXlddj13U489mHqUPXoeiD3ThYU9ZuyFPUSKhD1ETHI9/CZSPaA+UD3h5k495+BJPRkUUz1ToGU9uhdhPWbdXT24y4g9ufCNPaVhhD25XYs9bFKGPQlIgD0/YH09zgh4Pe96ez1+oYA977OKPVD+lz1nuKg9A324Pf5Wqz3L95k9112GPb1LbT1JAWE9rtlgPeRRZD2Md3c9YZN0PUtZaT3dd3Y9k+yIPYgTiz0sKJk9P8CUPVWKjj1AR4k9AA+KPfqChT18Fmk952pbPQhWeT2bK4I9rIFrPYRPcT1pR3w9gKB9PRDsaz09tm099ulnPQ0lSj2RHEw9ukJlPQ5XYT1IcU49MCk8PcVjRz1RlFk9N31pPdyMbT0dZHE9751tPWFKaz3R92o9qX1pPRCcXT0WiE09NgBBPaxFPj1/4UY9fqpFPbl9TD2m8VM9bXdePbGlWT1CV1c96htNPUDxVz0ua2c9d3taPQhCXD3l+Vo9Vw1QPeesWz3lJGc9MhBmPbyEXT0elUo9iGRCPd5uQj06ED89WJxBPbHsPz3+0z49VnxFPVJ9PT3Yrj09XfpIPSJQUT1pY1g91QxUPRArXz0HrUQ9aUYqPRYQJD3Owi898HM0PdadID0Flhc9wu8SPdeSEj2KVys9fTUzPRSJKz2IMjo9gYWKPXgoHT5Whi4+7IEePsDOHj75hiM+BZ48PhXRPD78bjg+9LMqPjuoKz7G0k8+80c7Pl8FOT5Vpj8+THg7PlzXMj5rbiw+AhQtPufFJT67ezw+KO9EPl2gGT6tEj4+YINHPuNqKD79KyE+w2gaPj3QMD5/RzQ+qWxBPhfRMT71xSE+FeohPq1CFD62HRA+NGQoPndGFz7Nxg0+S2oXPvjNKT5HcC0+3wsfPvL7CT4ZhRw+dYhEPsbBLT6TjRc+rAYlPn8wLT7YFTQ+FQJAPtw7Oj5NPSE+Xq4kPiq9Mz6jdkU+3IFLPleGRT4RqTI+Wy0yPueqHz73myE+1zsnPh7tMz6HsUU+yjM7Pg2wLz5pvzA+MPkqPhDFNj7n5RA+cAEOPnDlFj6+fhU+9SYvPuGsJj6bPBM+w6ITPolSED7MoxI+B9gaPhfyJD7RnjY+wnNOPvDVND7A/Sg+EoA9PsBdNz5g9S4+GakkPg14MD6U5S4+vbEjPjdtMT4kViE+MPNaPs0FWz5iZkQ+QqU2PuJoMz7jWyw+2fMzPl6WLD5KwjU+ql47PuYTWj/7Wgc/s/9GPrQ3JD7imSg+rRdNPlD5PD6QPS0+pkI0PuSQJj7iNxU+Z0YnPqmuNT6JxTI+UZUdPsqBOT5kLYg+aqxoPhWaHD7/Oi4+NDc+PjPKSz4LFVQ+DRhDPsbYSz6r7mY+iu5XPpFsQT5SiD8+4HNLPlRNSz70LUo+p1ZUPtruNz63Wi0+410sPuC+Nj7wLzk+o0tHPpWjMD7o0yU+CKFSPnurKD4B3UE+0IAvPhmmHz4mZBI+PqkWPuDyKD76+h4+ytozPvB9TT7Hjy8+ZkMmPoG/Kz7njy4+xHspPtEPOj5SiUY+DMdMPqEmQT7crDs+XtwgPgpRHT4i2Tk+1p1VPktdST5nEkM+XDE9PutZJD6TIhE+dLUOPly4Hz6piiE+xVUjPhNYID6Bby0+MJA0Pri6Jj6Aik4+IyNJPqwfRT6xhz8+usYsPmy7KT5iNSo+CUUnPpXHIT5JcCc+em42PoTdNj5qoBM+52Y5Pir3Vz5oKBo+aWMaPlqBIT7MyCo+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfx2z/j0o6p49GhGoPXvQoD0NMoc9cpF4PebSVz0pAVo9I7pqPRZraT3vpoI9m1GLPXkllT3r4qY9kYeqPWwRlT2rhpM9c3mDPVeZWT38qUA9qFI6PR/rWz3yKWc9EPFNPRL0Pj0GTis9lTsxPUhiNT08eEc9xuBYPb51bj2gfYI9PMKDPZllfj2SuoY99HVzPctbZj0KQlQ9XYNEPaGGXz0yOG09CleAPaGakT342pc9+VehPUiBgz0L2389Vd1vPZnKUT3YHUk9f5RQPQqPWD0NuV49v8VvPdsGhT26X4M9u4eFPWp5iT1dPZM9aheGPSUxdD0wB4E9oqKBPQLihz0Wy4Q9XNyDPS4/hj25UpE9BmCVPcBzmj1fH6I9TeCgPQkqhT07KXA9+4NyPWutVT28VGE9vQp2PfvMgT1J/4Q9iqiHPU1Jjj2SSZE9DDWPPcDSjT3BKIw9AmCIPVEShz0H0IA9ju55PdAGZD06b1c9mmJZPWf5ej1m7Ic93rt/PbBraz17cH09UY9sPYGHTD2PEk89PUBZPUepZT0jcFE9zi89PdZfPD1Iszk9x/xAPfLuUD2+UWE9bT96PSNViT185489WFWIPc52gD3dMl49sHlPPVZJRz2VkFs9ktxcPZpbVD16PFM94YZYPcwacT3ZznE905xuPdjWaz1/sF09WE9cPQ0UXz2ppG09pZdfPTqyWT1o02M90fxkPdxOhD3VjHs9dpZUPcnkVT3JBk89Y6ZMPenkQz228TU99Y02PSoCMT3UoD09so+YPWtr0T0mAXw9RC9ZPV25Wz2idFY9BSQ8PWjULz1Sljo9g+hFPYLTPT0oEzw9F58xPZtxJz0o2i89S+YrPS+1Gj0d+ig9i5EQPfjSCD34FkI9cEINPh4/LT4RJxw+3ooZPlK4IT7ZZyQ+BlYtPjhcMD6+Ii4+b0BDPrkiPz63TT0+jIIzPvbjIz7xFyY+KWRAPiqrNz4Gyik+hr9GPj9TTT5zmlE+vvJBPnW6MT7MAzU+ixY0PluEHT7+XB0+YsMaPjL2IT7qURw+04UjPuYAID65GyE+ResKPq/+2D3fdsA9VjDQPX69uT0HatY9GaUSPn5tDz6Tgjk+AtY8Pk+pGT745yQ+04ErPpGUJz5EiRU+cr4fPo58QD5lFSA+vuI2PiYQPT6MpS8+nScpPp2vJD5lgiE+/SclPq/RIz5ufzE+8mA1PnFeNz7e3zE+r3orPo3bKz4y7kA+ig4tPgASGT5r7Ro+fmYjPsruMD6yxQg+gTkvPmrDNz69Wy8+8j02PurXVz7JQzE+pL8aPnsdEz5OTQ0+I5oRPhQcHT6g9iI+e60dPiX4HD7UGx4+t75MPtcfUj5IdTM+R4UUPoONRj64ymE+sA84PnCaUD6HEDw+5EccPkpNPD4T4Sg+iygWPtr9Ez7Jnxw+7H0hPntnMz7mdkU+o0tXPvh0Yj424yE+rx7WPSVDjD3rBwU+kfglPvprFj6qlCM+P+Q7Pvt6KD4QERA+VtouPisaOz5GREQ+XmZJPtSMYT7H94Y+YA9dPg0POj61/zw+nktFPtw/Uz6bB0M+l3w3PuCMPT6ye1Q+x2JOPsa7Qz4P4D0+gZwvPu6VOj7X1zs+bBY3PveDPD663j4+P9Y9Pg7UNj6XJzY+Fhk7Pm2QPD7bRSE+tYMtPnovKj6IoTA+g8EpPoYXKD42Wxo+jbgaPoN1KT5dDCE+KfU2Pv1GQD7OkR0+gl0lPqHcNz75nj8+kpRXPltEVD7kJ0Q+AfQ/PtZMPj5wAT4+7cMyPlGBMT7vo0I+xsQoPrMbMT4buTE+5t0lPmjAHT4sYic+1LIkPsp5HD7w1iI+m70ePn1BHz7IkR4+L9cnPgeSGT6eoho+Y4BCPl0sOz7M6lI+KaVJPiX+Lj6bRzE+V/YgPuWlMD7M5zQ+LQgwPu/wNj4n6x8+0yYzPpvWNj6TnTc+d3AjPjjGKD4vmUM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2SNAj5iBaA9chGWPSg/jD3h44A9G2x1PV08dz2eznM9AO2FPUJGgT2FB5E9vFycPVfckj3TwqQ9eU+nPSaskD0Wo189Ua9KPRtzSj0P2kU9t6o+Pb7OMz1TRRw9EmgfPRFRGT2fqSk9DG88PTK/Rz2FpFA9ZBCAPVttiT3BAn09f6RxPdnEaD0WyF09pnxvPU1nZz2oVlM9MlpWPQdxgz1STYA9fkKBPWM+gD3Fy4U9rUN0Peh3Tj299Us9f+dMPXv6UD1tFVM9BphmPVFDgD2f6ZE9QqaZPcablj0YG5g93U6OPUMFiT1TcYM9R6ByPeu6bT2t+oQ9fIKOPW3CkT1+4oc96S9zPRYUgj2mZYc9JnmCPbbfeT0EM3E9jwZvPR7FYD0cqE89JY5bPTbPaT1fbnw9oYSPPT0hgT2qFYQ9qQyXPfTmlD2tQI49wAKcPSJymj3N04w9xYmUPZ/SkT0wvH497ll2Pa7Tfz2c8HM9Q9F0PXaRbj0sLWs9sHJiPXyvcD3djGc9sA9kPfOpYj0o6Gc9OsBpPasJWj3asFo9bzxJPZmMRz0bmUo98n9JPcXfWz2eAHM9leWEPVfrhD399nU9q15WPfJaRT3ti0g9V5FOPa7eRj0kXEs91NBZPU8RZD0sgW09sf1tPTdXfD27an49uFl9PWZHaz0yqVA982pJPS1WTz32Mk49pfNXPVb/eD0UMoQ96jOEPV6jdD2GNFQ99TtKPSIgOz3WODg9QfQ0PZQ0Oz2vqjo9hQs2PZjcMz116D09o25SPRtjaj1ubVo9ifZJPXN3QT2UzTw94e83PUuQUz1bXGQ9e4dyPQL4Oj312zk92WVCPbRgPj0HPCQ9P14dPVTxOz3pOCw9mRkAPRAUHz0/t/E9C7g2PgvTGj5e4yg+ZSIYPnqwLT5/Cjw+tCovPp/CKj6F5Sc+ft8vPoBcOD4uijk+BPM8PrxeNj75Wyo+0nA/Po+wMT5vViw+WyouPm0eTj7iD1I+ZXpGPmTRPT4hATk+Elc9Pp9ZST6fFU8+NHowPlnJJz6V6x4+u9EqPkIIND7VNyc+3v4CPros+z1H7fQ9xynkPR+nzz0Tbak945WoPfweuz2hc/U9SWsrPsMYNz6Y0CU+pNYoPnI8CT6mn/k927QZPrWcKT6qhCo+cp0nPqesNz59DTM+2iYoPkdAKz7oYSY+LoUlPkmaHT6pfDA+cqo3PuuaQj7+rjc++4kgPhoQID6V9So+3UMTPsOtNz6ifDE+n+cuPlmhOD6L5CM+Y2BNPvrlPT4ytyY+nhAtPvxVJT7HHx0+7XpBPlYCST5pty0+z44fPhemED6Bwgg++pQOPpvQHz6UXhw+U0cVPhK/YT4bh1s+26cnPnwgOj6x+TI+4IUoPnotQT7JW1A+ruAZPh39ET72KRc+S1kgPnwPHT5ZjRE+jkcVPu/dGj4MtyU+vVt2PsUrbT4W5kk+4yVDPlVcBT7otBk+H7QvPuQ0WD7NZnw+VP9tPrY/9j08w6Q9Xz3GPWeTKz7IWE8+RwlLPpHkTz67ZDU+LDtEPkOCYj5vQEc+90s2Pl8DOT5GoSA+Xec2PtxcRz6a8j0+CFA0Pg69HD5kARg+t4MuPlFkPj4UsUU+aNEqPi23Mz7AGz0+z1RQPm+ZQj7Yy0Y+31IzPg6CJz4r9io+6NcsPvq7Lz79tlE+pXRfPnsxRD6t2C0+2u4XPu1VJj6d7yw+FIVHPjKEVj7E2TA+U10qPoQSSj4/smc+MhsvPnb4Lj6AJy0+K3wjPnMHND6UHTc+NBQ2PoadPj7Cclw+h2cuPjULEj6XSRs+YLorPnnsKz72zBo+c+YwPo40NT6ArDE+rwQYPvRUPT47Wy8+Y9gwPoP6Ij70uyE+8U0kPpPaTD4L33o+ZxlVPp3hIj7KiCc+Fa4iPqUMLj5WNS4+FlEgPsSyND4GQUI+JCgpPsVmKT5xBT8+E5I+Pgc/MT68zy8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3YROj5+X7M98sWdPfdRoD0iwI49oXyAPawofT1cwX89f6KAPapYgD1XWZE9ANSRPTRIgD17EHQ9bpVfPXMEQz2wuVE9/kRYPaJYXD1mUkw98kguPYJKIT0aaCU92dMsPQvqOT1QSkY9Ai1ZPf6iWz2D11Y9c7BbPRKZgz0hTX098FlbPY+uXD1wNFc9CE1ZPQ75Zj3/5n09qsGEPVP0gD1EEn89f4+CPT4HhD3cdWU9b+ZNPTcpPD3N8T09OY1QPf72bD1q7no9n46MPez/kD0sRo09/RSPPRYShz1Dl3I9KB5xPS66cT1t8II99o2GPZx4hj0MFoI9nCCSPdffmT1MZIc9/JduPWuRdz0dBHk9c5GBPVVZbD0VTFI9rqZXPQgKYj0zKV09QhFgPQPpdT1s2oc9GaOEPS+9ej06BYM9mJeJPX/2lj3R2Zg9eiWWPcH7nj2Y/po9/Wp+PSmBgz0JLn89/W9wPTDBaT1Yu2Q9/vtkPUEwdj0xv4Y9iiN0PSdObz3JJlY97YRgPZlmYj2CmGE9EXpbPTlpbz0vWXg9/99hPXqyVT0N61Y99o9qPYWXeT3IGoA9FCCCPS/jbj2xul09SVlHPd26OT2YH089kvtZPe9QVT03u1E9ZhJjPfcmgD3xOG89vwhbPVcyRD3DWkk91e42PfUDPD2f5kM9HVdWPeuUYT12Xlw93VVLPZ5SYD1WHII9dXR4PRunOz2MhzU9EBo4PaUNOT0F7kQ9Qw9HPZOBSD2xWkU9BQ1NPQfiSj2NVTw9jhRGPdTNXz1LAk49NAJAPS1yOT3gOis9VaI4PYSXRD2zN6U9JgbgPQ3SQD2NVik9T8crPciDIj1gKgQ92zEDPV6iTT16z4E9BaOsPR/DFz57O0Q+58wmPupKMT6jey0+o+kcPpQ+PD4hc0g+oLo3PkewLj4iaTI+U1IsPjB4MD4Usyo+15QlPr8gKD4xbDI+ythJPr2JNj4EdCc+rE0gPgXjOz4bLUo+H388PgRBUz4331g+DRFLPoFwUD69azY+bUo+PrD9QT6NjD0+q9FIPjaWNz4r4TM+hxoiPo/6HT7TvS0+Tt8pPmYLLz7GLzw+sMcKPqRO5T3kiuc9MNMDPlZ4DT76kSI+7XgnPgKuGj4adwk+K9EsPuJ4Rj5QuDE+55gqPt0NJz6TrRs+/9AWPjqAIj6TMyw+m3o6PqD1JT61Tio+qZw5PmqERT7Axjw+h885Ptz7Mj4QjQs+rj0PPhrrJT4XbQ0+TdUXPo6bVT5SpEc+5twzPr41Nj5xGB8+UzoLPsaYED7/6BY+YrEkPmMWNz6R7Dc+byElPrj8Hz5Glhc+miEFPr3AJz5OaBw+PvsRPt9uKD5MdTk+q8g5PpDjSz5yZzI+2E8tPvaXJz7doik+soMpPpDlHz4anRM+xUsTPv1kET6gJQ8+wpwSPkr9Cj6OeRU+DWYePu2PHD5mC2A+m+mGPrPTGT6quDI+NBVAPk4mTj6DXTE+ofDqPbo7zD1eAb09S0LXPVN0zT25dzI+AmJNPtAfFD7gyPM9Iw0WPnMzHz5zMhg+u2ggPvmDOj73rjM+oXEzPmSxSz5IUTc+ptAzPlDoNT7kHho+8ywtPmfCOD5JZyc+5C0vPm8GMT4qaiI+3kUkPus6MD4RtUE+ZkQ8PiIuND5g3zA+piw3PtLfMj5O3Ec+kR9MPpQ/Rj4x0Dc+fforPoIxJz7O7DA+hVFNPnOWNz7wpzY+Os4yPj2RPD6KlGA+bBc0PuHxQD5/f0E+/PI8PlLdQT7kBzg+0Y0oPpdKND6nGzI+byokPtgPIT6yTCU+oNwiPkZsIz7OcR0+7ZMvPiidKz6/LCY+eloiPqI0RD4pWjE+/TUzPlNTLD7K1iU+bx0aPv8WTD56WFk+5C4qPlspKj5IBic+1DsuPtnZJz4Fcy4+2nsuPoBXJT5H2TE+A3ozPpu9ID4HHic+fGUpPk1HLj5J5lg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf5hP4z1TcZs98tWIPfcBiT1TAoM9DweCPZXpbD0yOmo9WE+EPcqChD1mCoY9BUCGPW+xgj2xNYk980mTPYu/hD3xK0U9UC9BPV4gVD2R0kw9wZlHPZUgST2dBj09VLA9PQoMVj31hW09bFN8PbSXdz3/S189W6JQPbJNRj06AU09gr5MPQ+EZD21QHk9H/qGPQB1kD2PTYg9laWHPRBNgT3RiWs9sGNvPfvnYT0zKU09mFxFPdJOPz1Ws089TItlPe7IcT0Mmn49U2iPPch7lj0VyoA99G1qPR1iaz1RX4M9AiSDPcCBhz1OSIo9FW+YPS/5jj0DIHU9YdxvPbuUXz0V3k89zCFePTOIfD3pPos93C6LPRtoiD3xfIo9vKaKPZgMdT2TD3I9i2x8PQGagT3LQ309Yw96PbXSdz0b1oo9/02TPV85nD29NJ09KkmbPakzkj1W53I92VdtPXN2bT1n9Wg96DxaPRCHWT3Bsl89gyNnPV27bT1ZSWk91VFbPa0OXz0SuWY9r8BYPYRIaT3e2XI96olnPRSGWT3nIWE9HXxiPcdFUj1/9ls9hx1iPfzecD3K92k9dd1MPQBNQT2ljFw9aV5LPYVMUD0VOGE9KBdxPVVZbj22SFg96gVaPQXdYz2EGU49u9VJPe0aQD1fDEA9bPo4PbbeSD0SZEw9sh5QPZYwWz2KpWg9kChiPfqeVD3+ZFI92Q1UPcHWSj0E+k09WyZjPVfGZD3lw2A92qxWPf9eST0gFD09+vxDPYoeSj2x8kM9fydIPaVWWj31fE89LPVKPXqlTj3FikY9DBY5PdazLj2H4Ss996kvPQqUKj2iIiY9mpRfPf2nUz1UEA49xLn3PHGfqD35yCM+LycuPrAGNz5Vdig+LCEWPuVtJz7ioyY+z8ASPsgkKz7yPzQ+4nMjPrGZIj54tSQ+osQoPmr8JD7rPh8+InwmPkI9Qj6vREQ+teI0PrnoMT5kHTQ+3lEuPmaTKD579zA+1BE9Pi0HUD4svE0+fwM9PqNpRD4k2jc+61A4PmOVJz7dkiQ+III9PjAxOz4Owxs+r6o6PqRiST5DpUc+dsEvPjo2JT60yiw+kuAhPjmkET4w0RA+6fcYPogmED6Olx0++m0sPmZPMD5J9Sc+5PgaPt3EBj4cisg9/m7IPUOawD0r4cA9V6/KPf3T0D2Uhvg9oAIYPnbhJT4jnxE+Iw43Pp/dRT5KNj4+XHo8PpdlPT4GuSM+UCAPPvJAKT7a4Dw+fQw3Ps6JRj709jw+6wM/PnASOz5kNjw+33svPkWpIz4IdDc+wq5IPuRbPj673z4+yLFhPuwHJj6FDwk+/h8aPkArLT7cNCM+wZcWPrbQFz7sYRQ+1t8lPrFHHT6VYxg+K24/PqB/Qj4oph4+3zkfPvxAID6vyCQ+liMcPg2qET5h3BA+NCEaPk09HD5UAxc+vmwZPqFOEz6mABQ++HIcPrFiHD7MJTA+YYAtPgAOiz7GH2s+oDYaPjSYFT7zAEw+sASAPsJ7jT6PCZk+w1JnPt6h4j3FfaQ9+sWhPSGfij1sHJg92BCsPQLp0D3wY709zqP1PZCUIT5YlzA+9pA/PqrvNT7X3y4+wmdOPqg2UD7wNxs+vyMrPkAbND4cqSI+d34yPutBND4WeEU+kixEPnB5Kz7T6iM+kdk4PlV4PT5nyko+9UVRPvNYQz7K+zk+QVA+PghLNz4yazU+9MY5Po7sLT43QkU+rAg5PoT7Qz6Bekw+diklPs+qNj7oPD0+5ApGPm2XRj4/NUg+EeoxPrdOMT7Y3jI+3d4qPpZwLj4f0DM+C2cwPn8CJD6Q3yQ+Lh0kPrSMID7UfBo+9ycwPv5SND4X1DA+F100PjAmNz7y0Co+FBkvPj72Uz7Zoi8+p2MiPkXKHz4DzCI+2qonPmaLJj6NIig+Mx8vPodfRD77z0Y+REQlPnRjDj5f7B4+bxErPnJmJT4jzSQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/ps4z0JbKQ9zzuJPeLChT2y/nk9OAh8Pfqdfz3GfI09kB+cPXkFlD3J6pM9KwyaPbJrkD0zrZI9vnqkPX4SmD2sqG09paNqPT4iZz1JNWU9G59TPW+wQD2wAT493XBBPQmaXD0kIn09uG5mPeKdVD0fBEU9AIVHPfEbTT2wc0w9ORFkPT0MhD0w24k9QpiPPYLLnD1qX5w9vi2LPV9/ez1+zmU9x6BTPa7WTT0sxFg9AuxIPTDiVD04L3w9D1l8PRk+fD2ZjZA9AR6mPck8hD2S2mo95pN7Pfi+gj0Kg4Y9V/mRPdMcmT17eJo9vA6LPbM8iT0v+WI9lcJZPcbfZD0FT2s93p2BPU76lz3uWJs9/cGWPc4bgT3ntYM9ZNWEPb2Kaz3fV3Y9mHSSPQCzmT0lWIo9HVOHPXdFjT1TjI49JtOVPWLooT0t9IY9FDaAPRKEZT3BG109jkljPZHyYj3COXU9elF2Pcn9fT3eJH89x/dyPXyKZj3c+WY9uDxoPUcFTD2mYFU9n4hUPTGNWj1a+Ec9D9FJPcomSz3b7Fk9f4hfPQT4gD01KnQ9m8NXPUllSj31KkQ9KgpHPV2AVD17HnM9sS+APU+7cT2YT2c9PflTPWBvSz1H2S49eZIyPYthOD3LjDM9MgBHPZbVXj3M+2I9pdhZPaG3Uj2enkw9lJVQPd9kQz2rDTo9eZdIPY3QVD3POFE959tUPT4sZj26/XM9tYVrPTjlXj0/21Q9ThJHPc/cRD0v7049sn1UPc9MVD3rfl09dU5qPcFgQD1OiTo90lNBPdnaNT0IvyU9A00fPQ+sED3QRxA9HWMnPSftNz0jLm09IPrmPUpGMT5FRg8+S8kFPp4BOD6BHkw+nXY0Pn/yHD5q/hU+n/URPiIFGz7UYBw+Do8bPjbyHj6lAyI+9N4jPhMgDz6jJxM+m2YmPglKLj595Bo+jwsoPrwxPT4VADA+Dq8RPo/dWT6uq2g+1YwvPq2JQT5Jtkk+d0Y7PnPhNz6CLC0+RVMnPkLBMT6H7zw+dKE2PhZyJD7D5zI+gtg+Pu0pRz7AaT4+0ldHPj9HMj5UFDU+T4ElPnKuIj5T8UU+eERHPpTDGT5SWR8+6oMkPsQmID7t6yI+CeUoPjfwGD7NnB4+yj/pPSQHuj20tAQ+D1ItPgVPvT0mRK090uqrPbHItj1YXLA9Zk7LPU0hFT6Kehc+/bchPo64Kj4E6ic+GbkzPh5kOT6pcjQ+6eghPjF/Kj6jjTc+cO8yPigqLj6hJik+RuAtPhpqNj4wOyg+t1IdPkc7Kj66+kU+eVY8Pn9cOj6uujk+SOQwPlN8FD6idRQ+Ie0yPmmZPT4KgjE+PB8vPvIDKj7AoTk+BUUyPgd0Kj7i8TA+/b5EPsqBNz4hKyA+tfw9PgoBLj672Ss+idoXPkkDFj7juBw+keEoPriWOD4idTE+3owoPvFVNT5PoxY++94LPuAiCz5u4Bw+mBMoPiF2Lz5u5Bg+Tz0UPuMGID7E5Rc+KDIjPrTdRj6ifjk+3TFKPj7TYD6NUSY+f54GPqLdvT0qdcE9Vg3pPXZbxj0mO4A9dKHUPUT46j0u3sg9YlMZPiUWaD44Cms+RtI6PkEmLj56kyI+64IWPjZ6KD5sfDA+mosePqYVHT72ays+P1c/PoN2Mj4rHzE+suk/Pke8QT7+HlY+MMFKPgWePz77CTw+uDgtPq9GIj44+SY+12M2PrCKMz5jdjE+nG9APqb4Mj5ESTY+FAU/PnMYPz79uUw+AY9QPi7LRD4scS8+l3AYPuqqKz5n2TQ+UZtEPspWOz4tJjE+HZY3Pm8VFz7CCRA+3CMgPrKaKT49eC0+busrPu0UKT4uFj0+uMs6Pi5NIz5UYBI+RgolPlv9Oj5S2R0+YHYaPlJvKD4T0zw+GhQVPuK5JD4NskU+AzodPkB0Kz4hMUU+aX86Pr9CNT6HbRw+78MxPrLNOT7UISQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2HG1z12U6M9tOiTPbPqiz0qrYU93PaIPU+MjT3Z7ZI9SR+NPXd1iT16F449xGeaPU/PnT2asKI9pa+iPQyenj1H0Yk9S1B8PdCNaD3Nh089HrUxPenTOT0waUk9pepUPTJjXD0C4kc9u6wwPbFKMD0IWEo94lFyPW+lVD1a+WM9Shx3PVssgz2y5JA9VC6RPefHfD3/y2E9XBt+Pe43gz2nPIA90p1sPR1IcD1cR3896tR2PQpgbT2SAHY9zb+FPZLbgD0dmG09v2diPa5GTj0NQFU9xAh3PeIajz3CV5k9QmqNPSLIgT3QlH89++lwPQyNeT0rdYE9pfWGPcTKiD3HQ4U9qbyNPTIMnj3iRpc9AmeJPR4khD397Wg92ZFqPX1Pcj3Q4Ig9/IeZPaILnj2UQJc93v2aPS6wnT3jHos9YG+IPWBhcD3fimk9TWZyPWYjdT362G09+EFvPRgiZT2OMGQ9qgtoPafodT1timQ9iSBvPZ3nXD1pDFw9OBpTPaaoTD3LPU490mBIPamSWj1pm1o9a1loPbGaaj2jo3E9vvR/PTRQej0611U9Zy1FPTFwUj1Y70c9xvlOPd8QVT06mls95MRgPadKXD0joTw9V+czPRY/LT3QMCk96B4mPR7hIj2M2UY91uBePUGORz1jX0A9hFtIPVMJUT1CT0c92Ww7PeDQOD2yJ049XedLPUDAUD3tGGU9in1qPfJtYD3KjE09R3xCPZi/VD2moFg9hhVmPTzVcz2QTG89E4RhPWb6Rz0KSV09OPZTPYRhNj1JCkM9AhNIPWByQj2gADI9d64uPfcfOj3Zpy09Apb/PJrpCj3MipQ97aA3Pna2eT7MV2U+BrsvPmndND5lAB0+THktPivHIT7Z4xI+rmEYPvTjET6WgCI+NPU5Pm22Oz4w2C4+j+4ePuKOED7HzQU+0GEOPhrMGj7TvCY+rdE/Pn02Mj4EGi8+q0suPhD1KT4Dwhw+NRYkPm5YKT5h1CU+09MrPlmoNT7GrTI+jxElPhnfFD5k5yI+Af4yPlFXPz7udyw+jLQsPjvWIT6eZR0+ags1PlJVLD45sDY+ryQ1PrsHPD5Qtzs+I7ZKPq9SKz7R2SM+4KwmPtG8MT6BUzA+rJ8sPnvwHj6/diI+EegtPgGHMT591Tc+P/YvPsTuGz7wVxw+5t0KPrFr/j1VWBs+GfEyPtLCGj6wszM+93NIPhpXLD4pFgo+oobKPW5m0D2AHg4+V1UYPtLVKT4okig+iR02ProuQD4Fqyk+Y3kuPo3iNz4lvTA+XjkvPvg3HT6j/io+1qQnPm38Ij4TSCw+Hf4/PuW/QD5W3jA+HQ8wPrvNNj6ltCs+bZE4PtnJOT412y4+Ci03PidnOT44lkM+sA89PvCoMT41aDI+cSE0PgocGT4F7yQ+kywlPkUuLT4lCSU+OlI7PsJuYz4XQFw+rMJCPiRLSz7fuzI+s3sePmYhDT7oVhc+oJkPPuniGj7LUiU+rCH+PcwRJD7i3iA+sRgSPtaWJj5Dbxw+6gc4PtE7PT6y2xg+wlwGPjaG6T3rQ9w9Gh7TPcCXuz2R5og9/FjAPTFPAD6JQQI+VAIVPmE5Cj5xCis+oagwPnUZLT68qEM+pxZHPlPSQD6uqkM+DZhLPh4pNj7KEjY+H1pFPjufNj7UvlM+j45EPv1xLT5Q/D4+kc02Psv6JD7rbh0+QPMbPsJEFz6ZuCU+/s0oPufCID4k6yk+krImPvcRIT6YDiY+MFI1Pv9JMT6PxTs+mnM2PjBzJj5SFSU+aNUrPpKNMT6QWCo+BNs9PtfCMT7ijUI+M5JBPrdxHz44dSM+xb4sPmkyKT6iUSk+XConPq0FMz7oXiw+5MgqPooEOD5V/yQ+71QtPmOaKj7Mcik+FfgmPi7AIz6bwyY+fRIsPoHZHz7YxTo+BCQzPnLCMT7JWTA+i5YxPmdeLz6QZjA+I1ovPk1bHz5jkBw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/7PKj77WdY9NveRPYawkz3Hi409cgeGPZZhkz1g8pQ9H8yMPYRtij1KsJ49UiyWPWqekD2BK5U9Jz+dPcUshD1MG2w9FxNdPTj8Qj2FuEQ99VBTPTFxTz26LUc9VuNQPdtxTj3naFM9pWVIPaM9SD3yH1A9VwRiPbgbZT3ucoA9R/yCPTZ+dT0GDXY913pvPfRhcz2soWo9AZOKPXEQjT2ccYM9apl0PawLZT19PoA9VWGHPevHjz30nYQ9aVZyPU5NWD2fdk49MYtZPa5YTD0r+GU9cZR+PZCSbT1vpnQ9YQyGPbPzgz2AFn49q1iCPRLgjT0/8pE9viGSPbWpkj06kZI9YTuSPYqJmj1iJpM9JQZsPaOKYz0MNnE9gx9pPXMyhT0WqpQ9qgufPWWalT356oQ9pMdzPb96cD3o4nA96sJzPbQhfT0ySnA9mVdzPXtncz3lgn49FVGCPb2Ufj23g2c9LBNkPf8Saj3J02M9SaZgPdsgbD05m1I97J9HPYKhVz3qMGg90+JmPfpTdz1ykng91eR9PaA2fD3N9XQ9rO5tPSYCXD00mlI9moRWPSknVT2ir009dctbPVjRWj1Z3Ew9pHlPPTf0UD3zs0E95gsxPVCPKj1j1io91tYqPYWNOD1jpEM9flJPPVhKWT3LFlw9yU1YPfGeUT1MMkU9OP8wPWYHPT2vi1k9ZSpgPR7tYD34gVY9j4JPPTzfQz2wBjY9lLVBPQyCVz2NB1w9WVdsPR8Kaz2Yo1Q9EBY0PXiXOD1FkFs9fM1kPVnoUj14YGg9931zPbq6Rj079C49mNpSPdxM6z3KmPM908SIPTZUWj2S2qg90U07Plr3gj5rdYM+6t4yPjvlIT7tSA0+LN4RPl5dHT5AzB8+2zMSPhnPBj5MSiU+NsAoPqZ1Lj7FQzI+Z7ssPrOeHz5AZQs+Vc4QPmr0IT70nx4+iPMiPtU5JT41GiY+qRksPsv6JD6g5BU+SQ8fPq2EHD7RzyE+TOUcPs6uIT7+ezY+UoctPsplLj7N4C0+sUk6PoqrOj5JgTY+KEY3PmKEKj56Rys+Two5Pn+fQD6Tpz0+52AwPoNgRj4/Yjw+rpQnPjwXKT7mXzE+2z47Pi15PT6v/DY+34pIPs6BQT7vMTA+alkPPozpDz6lsBk+hbkaPkAnDz7eEDk+6Vs9PrSdRD6EFjo+p0FIPgJ9OT4/Qjk+OM45PiYLMz7aWSA+mILmPbFRoz01cbM9JjjGPXUqBz6UrBI+pv0NPgt1Fj6iuxw+1+sgPtgzLT4Xvys+BKRGPpjXMT6wWCk+EWY+PnavKz7O+Sg++/InPmoDLj6Jq0w+YVVBPtkaMD5m6jc+jP5BPnOIMj5rUS8+i+8fPrQGIT5L8xk+FagbPi8uLz55X0A+0q5FPoueKj7fwTo+Iq8jPuqXHz500iA+BckgPjzKQD5rZl4+p7RNPgJCMz4QVjo+3dosPhjLGj7UGjM+ev8vPuI4KD5tFB4+FrgWPl5OJT5auSg+JCwhPshMNj5OE0E/TW7zPpVzGj7zeA4+AeUYPpwUGD6pbP49VcQ8PkJZID4mrqk9lO6UPQHh7D0qei4+2EQcPt60BT7fkiA+2oMmPjzWOj77G0A+I0FIPoXGPD7kyCE+FrAnPtgSJz4aVjE+v/AvPnK/KD4fiSY+7+E4PrHrRD7GCSc+NvcgPmY+HD60yRk+2dwrPnh/ND5yAzY+PtAwPrl8HD6FNC0+BJAqPjteGj5KkRo+acI4PnHRJT5xtSw+SMsjPpdIMz7GQio+djsuPkzwMT5Vlic+TaMmPrDoEj57cFo+ky5APh9ZIT4bDDY+2X0zPsTyJj6j9Cs+mhMvPpKhMj4NTDA+lo87Pra3Qz7lWy4+xL8qPmx1Kz535hE+y8IhPtqWFz522CQ+L8YtPlx0ND4bbkQ+R6E5Pn4WMz5f0CQ+62Y3PlHzNz5BKzQ+cpY/Pi9tET4FKOw9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1jtDD5SoNA9vjGTPRSpkD0iIY09gMWMPd0WjT1ZIoY954uJPdGnmD1Tx5k9XsCXPc81hj3CDYA9kBF7PbDrWD1LWj89/pxCPYF3TD1awUo9bytZPYy6Yz11PlM9m4tSPXGDTD3eJFA92pBAPTVVNj1/zVM9X6NdPdj/bT27G3I9zhlmPeAUbD3il2Y9SbtZPakGbz1ZB389UYCBPYciZj30Fl49DTdgPWRjYz0mIIE9EsCMPQiAlz2V/YI9Y21NPacXST0ZQFA9j/xjPfWbaD3AeXM9lSV6PfregT1wGX49oAp9PftxhD3nwJc9pKSaPZeKmj1LPJU9BgyZPSITiz2vlH496P9sPWB0Vj0D3kc9m/hNPXQbaT3GIYo9HLOOPS1lhz2Or4o9ERmKPTrUfj12DFs9cmVcPdFRbj0RxoU9TZ2DPW4Niz0J+ow9bDmJPXd4lD1tSYk95pyEPX2BhT0gaHQ9AJloPdf8XT3UuWU9TA9tPX6ldj3+WnQ9t+htPcI0hT2kXm09tuZ0PazgdT1IPW49W5NyPR45aj1L8lw9B8ZLPUtPXj3Wo2Q9hqxnPdyYZz02ZGU9gnpOPY7nRz15C109v51nPcZBWj2I4FU9AHBFPSL7RD1SwFM9lNFDPXIiPj0H3EQ9NI1MPc8gVD03Ij89eR41PY0tMj33Njo9tJJBPQOMPj3aHVY9AR1kPZliTj35YEo9Zz5bPfyLYD2n51k9NcJbPR6eTD0bQj09P4E9PSy7Lz3K8Co9EsAwPZbkOT2Fc0k9tqRZPWBTUD3zpVQ98JpCPfErSD2cMVM9DBNbPc3HsT198KQ9R5KxPd3uBz4AgxU+ZLkKPin6Rz4AbVI+slcUPkI0FD7XKBA+kf4cPmD8Ij5pCRc+rjMePjKvHD4Vrx0+vQ0gPgEwKT7qoys+GYczPmkUPz4hPCw+94MePlkiGz7PxSU+8pghPs/kLT7r3TE+4CYcPqVkED6vDBk+PccnPnOmJT7YwCM+DeEqPhWKID4BvyA+psAcPnq4KT5uM0M+F6pNPsovZD6v5m4+8wtVPhieSD4/Zjc+fzMuPuOVOT7m2jo+dlIrPtezMj6uYio++bAqPuUePT7TZEk+VSg/PtoKMD5l9i0+UCgzPs+VNj4jvCw+cgILPtkGyT0BPaY9IIGKPfbCnT0cVdU9yL3BPVADDD6oVh0+miE8PpuLKD4P0iw+cq5CPvc1OD5M6Dk+wOI1PgmDGz6McBE+VO42PvH0Kj6sGAo+sI3jPdqy4z3m7hg+jNArPv69Mz4YDTE+BnYsPuv5JD5/dis+LGVGPsLKKD6Hiy0+CdsmPpUcOz709FA+Oo49Pkz2LT4mjTs+ccMcPsNVEz5tbjg+4AVHPvcWNj4N8iM+GecxPla5Gj5c8Eg+copUPpsiPj4iNTs+IO0tPhUzJj5MGCU+gJQpPp5XTz7NrVE+2TwzPplXMT7yLTA+YZAaPsGRHj5zgDI+qNsvPh71Lj685So+YxAvPgtpKT5HmDE+wGhGPmnSGz6LNJ4+hClqPqSuCD6Z2QY+CpMIPkSoFT5pfhg+VBaBPvjCZj7EQwU+um/qPacwBT6tAlc+RsMYPrAyED6mFxY++/MfPpWRMD4efyQ+FnoTPmfBJT6UOyU+lGAXPqciKj7JWyU+0tovPimIKD63yCQ+cahfPnSrhz69TUA+pR8hPkhSMj4cjDE+Hk03PlrnND6m3jg+t60wPuzmLz6zhjU+3OcdPvw/Jz5OxSY+odJAPlreMj6cRyA+XHYbPq8pOD6FzzY+DaI2PvgjJz4iwSc+dK4pPu58ND7M6UM+YTUsPi6IMD4ujDg+2PU8Po9CHT6XfiY+DhI3PnsCMj4FMEA+KVlMPrfyRj7thDo+VtEoPgTqJz4pIRc+juoYPuV/Kz5WvTk+5tAdPselIT60AjQ+qpEqPvzvPz5sfh0+Z29PPtRmOj6g3zI+MXFIPsDmFT5JruI9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwXPFT4MxtU9+kyMPR5AhT0DM4M9k3GIPa+ckz0YKJQ9AvWbPfBmlT1dEos9gYOQPRwFoD1YQZc9UiyZPRrriD1VGWM9TRRKPbY6UT3vm1Y9gxdaPSlbWz0ycWU9hEpePa6gQT1tIDQ9o+1APfftUz2ORms9Am9zPY92fD0pdns9uE1wPfw2YT0gEls9wjhQPR/3XT0DtXg9+RNsPQ8qeD1Ainw91I+HPUy4gD21HXw9gOuLPVvdhT1eUYA9lkNzPQs+dT2OsHw96PGGPZUHfD0HWGk9gOtjPcwZaT1tNXM92YeBPZEhfT2yaI49ZqiePaEsnj3mcJc9SVeJPSTPZT1pbVc9D9dyPeaBZj1bRF89DOBvPUageD3wJnk9b8CCPa8ziD0YDIs9js5yPQv1bD3/C3U99sdmPQnRdj2p3oM9MayJPYA0iz1rP4k9bZCcPfeThz3iOH89la1sPWizaT0ZTVg9PFVcPSUAaD0/1HE9+dZ9PR7bgT2Z4409Bw6JPdGIhz3OxYM9FQ+NPWJAiD3iOYA9pI9kPSsoUj0vh1o9LgdoPYIUhz21cIs9CQtxPdcmbD1XGls9Ft9RPYA6TT27bVI9UrtcPaMcWj1Z/0I9xj02PdLiQz3uyms9de1wPSm4WD05OVo9xPdnPdVRZj3i9UE9DARJPcltTT1ft0s9jLBEPSGCSD0iRl89GP9lPc1uTj0mFlQ9C9ZPPTU+Vz0dLlQ9vVVBPV8oNj3/5kk9AFtQPYG3PD1G3kA9RltHPRAIRj2HiDk9YUw/PTr5TT09Ikk9IG1APX/uWT0whq89jJ+lPfllNT5DUU0+MZkbPhnKLz4CtDM+ZNhFPknwJz7osCA+mFobPu0vED7QfQs+9wAgPjutKT6oMBs+8eMgPrO3ID4vCiA+Ax8fPsxgJj6xRiM+TIElPvH1Lj5MxDo+BbYuPjHFIT6ZdSA+cbElPiqNLT47WSg++ZYlPlVjGT5c1h8+v1AkPnD2GD5X9jE+WfgwPrW6Jj66nSU+AvcaPjSOIT4z1Ek+cU9cPngyTj5asTY+Yv0tProrLT7SViI+zxwaPjF9Gz7kFTM++NVBPiPLLj5unSE+yQ4qPs+BSD4Hs1c+9cRRPu7lRj7rKjU+gadGPqVELz7IaCM+W2cmPrt9Lj79Cx0+FczEPUnSjT2O/q89fUvhPQiZAT4D+TI+95tCPm1yIz4scyY+G6MaPohVLD5gKEA+jgxEPooTPD7DQjY+v40kPuGaMD7U6Tw+OVQzPhAaKz5QvCQ+r1MnPhO7KD5kOig+qlQzPmfnKz6YjTs+0V49PjBVNz4LMhw+5koKPhNEGj5mv0o+sVVEPpZ2Lz6k5ys+iiMwPuZ7Hz6lUx4+I7QoPvNINT4NWyw+C08pPsGuIz5zQSY+OGAoPh/AJj6b/C4+mzYrPkd2CT5A9xA+xCYbPuPzET7PbBY+7RMZPlyiGz5gjB8+RpUZPh3TLj4jVjg+6vdJPkrVQT7Jo2Q+iamKPvHfWT6Ypjg+J9AzPjIwJD5PqQc+lHEiPrCeKz7qCCk+eIFqPsqzcj7Bnpw+QV2bPjvtIj6QSDY+l9sKPmdKrz0Uq709t/SmPYuD0j0K0iQ+hhwbPtxvGj5BEzA+hbYWPj6XHT5wrDQ+MqVFPqyGLD7sCjM+TDQ5PqOPJz51Mys+eRd6PkOHoj7kkDs+3eUsPtmYJj62jDs+pFRBPhQIPT48ST8+5h0zPkUwHT6kpSE+FpoaPvozJj4dBBo+z9wmPgSgMD5Tsyk+SVEwPmphJj57ATI+gLsmPmxNKz6XUzg+TT44PmSEND7e0i8++tsuPhkpNj6OGSo+lzovPgcZPD6iozE+s1M1PrvfNz7/wDA+qDA4Ps5+TD65EjY+rD4rPrQzLD7SWx4+i0otPrDWMj4r4CQ+paslPvORIT6bjCk+m4gjPuNkDT4pQhk+tbsZPlRiET4TDx8+PcsmPt1hCz5Yp/M9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1xQHD62+NE9g1yDPWXEgD0AxJU9moKhPdeemD2xYZ89LLCTPeEpmz0MR5s9LtKaPUPamT1g+aA97EaZPZ78fT0NSl49Md5XPZ/sVT1S8189V3llPZ9YWj2i/Uo9hT1LPVcbQz0KTDI9zoFIPUNWYz0m0GI99v1hPQD3bT1soV09GpBqPUdqYD3a6V89jxxvPX3GcT00CIg9+4WJPVuAhT106IA9lnl/PcfKZj0lEVk9Hc1zPZGghT0DrHk9e3BfPdHdZj1jWmw90FmAPWl3gT0gIoY96415PXKcdD2T54k9j5uSPbF5kD0V65c9GQyJPcV9kD1DCn89+dxvPVQueT03JoI9VrZ/PbRneD0ueoI9Dj5+PVQRhD1IGoU9knOKPWnWkT1lz4o99/t2PQqUaz2Pb3c9l+9+PTY/hT0mq5I9uYeWPWwHhj0Ij3g9juV4PZSyaj3nG2k9yTFiPe+DbD3JhFc9/UxbPUMIdD1uQ4E9UAWMPYFFkj1xR5M9/P2ZPap9iz0QkoE90zd3PaUyYD0hTW89u/NePXPBRj3KVUE93SdiPQbwcT2ahk49ANdGPQWpUj2pNFg9Hqh0PfXEbD1i40g9qfFFPfY4Rj24jVE99bxGPTVNZj0xb2o9/6NUPdd7Tz1tx0g9t/dFPaU/PD0NyEg91w5XPU7NWD1tF0o9KZdFPaHxYj0aWnc9QdRmPWA9Uj3mqlI934FTPRO5WT3bnl49hzVXPbBXUz21bE49IWhTPUzpQz270To9LZk0PXYZPT0oWj09GoBDPfnVWT1N3UY9r5svPSqCPz3U6Ew9Fb9mPZ0Wgz0DUp096iZ9PbZqUT2YAbU9tBZTPlNDRz4BGSM+7eIWPvRjDD6dRxg+agQZPs2nET65wxg+FNIZPmC0ED7i5A8+5WkTPm4AIT46pho+UJAXPkGFHz7ubic+qv02PkuMMD5TZy8+SAgfPlsTGT7eviA+RJUqPoS6Lj4EjC8+v8ofPoDSHD5cFyA+5AY0PtiKQD7g5UU+/68yPleQLj4hejI+4ko1PhMWLz7zZSc+nQ4sPhr8KT7pPBs+ScwiPtmxQD5/N00+GBU4PgVjOz5DlCg+QQJPPqNNUD6bpik+KtZRPl7LZj468V4+okpAPpFbHD4+eig+cfI5PsuwMD4JZUM+AkE9PuExHT7kdyo+tQFJPv+HOz6O2DI+ATJLPjrkJz5QSTI+6mU6PuuCIz67tTY+3H4lPr04ND6uBC4+NJkqPo0hMz4KEig+wR4lPlQWMz4VAiY+EWcsPt86Lz5j0is+wuMjPsnWOT5Zr00+nZ8+PlMJQT4NZTk+e98nPl9yDz53My0+yMdDPqkyPj4iLTM+dwc/PguLNj62ZCw+ed0XPsHBDT7RxyQ+W9MyPgmoKT5BJSA+gKEaPv8XFD4WJR4+a30YPhgcGj7t0SY+zgY9PsVRLj5JODQ+jW8QPvJkFD6P2iw+EHpePtwnVz7o4UE+e4xiPkEkTD5gnS4+mhIvPuqIND4PuCw+Kmw0PsP3LT55yhs+VJQ5PsqoLD6DCB4+E3QWPrUnOD6O26c+q7CHPrhYJT4zhxc+YSogPv9fLj7l6CY+IKwFPsnY4D1w/Qo+ieYfPqssFj5I2hM+RO1WPnblaD410Tg+GUhtPvFhND4S4TQ+p4IxPptYLT5DK0A+xeYqPt6hPz51oig+PQwPPvXNDj4J+yQ+o+sYPiwkFz6xvCo+Gkw2PhuIJz470C4+aPctPmpcKz4gVjE+GUItPv20Nz4AKiM+cSQkPgfDMD6loS4+xfQsPuQdNT6B3zw+d647PlIQQT7ZKyo+1sFZPkG2VT67x0U+f6JLPvSSUD4L6Gg+nuRePoHcWj4fPSU+oBIlPoZkPj6aujA+PKkuPjXOLT56JC4+bZFAPl4fOj5FBSI+tBYxPgUyPD4NkkA+11EsPo3GGj4N/Bs+/GofPjoeLj7CxEA+8o0rPj/XDz7T9A0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1pKgj7e/hc+eQKPPR0zlT3fips9wqSXPedolD13Bpk9r+GVPXxEmD1YrpI9BEuKPQtZjT3M9JU9d8KMPTK/jD03loY9vKh0PZyOaz37B2Y9yfFrPX9/VD1y+E49mrxBPRh9Uz2tQWs9BLlhPbZ5Wz0P8Fo9jOxfPV4hdD3RcoE9l2h1PRHkdz3KwIs9jTaFPdAyhT2xmYA9bNCDPfX4ij0q0IM9ChyDPRCQbD2iol49f6dpPcmigT0Y63c9LBh1PfCkWz1qTW89E/x4PUpvaz1AX3U93jKEPSLBiD0db5o9NveUPdD1hD2Z+nY9fW1oPW3EeT0MyYE9Gm+MPXDIkD2qhYo9Ar+HPQ7fcz3mj3Q9rwt5PdpEdz3hX4I94ieVPd33lD2z2o89JCCFPUG6dz3GjoU9X0SPPSkijD06SXM9+w1qPStNbj1dKlk9KYphPb4sbj29gmk9DaNxPZtfgT0jIYQ9ZVGBPaCygj06YYs9X4aLPaFPjD3SzY49zc9qPbajVT3e/lA9CmxfPQctYT0mmmE91nVMPf/xRz0cGFs9p1tlPdnITD1URjc9p1tBPUJiUj28FWY98PdyPTwvdz1MXXQ90ZBXPSVdRj3lFUc93R5MPYNcTT0pvDk9aVk6PU+/OT0BdC89rBBBPT20Nz1f+0c9mQtfPderVz1tMU49GB5dPfEVZj1FKHU917BVPQnlTT3CnVw9D9lcPYYWXD0nXmo9ZqpjPSE5XT2/2VQ9y5JVPeYpUT3W70U9fEg9PQSRQj2WT0U9vahFPafCTj3+WFg9f1hqPUEcZj2FE7s9lkIuPpBmUD4YJT0+txgTPphC4j2cdg4+gjIrPvbFKj4UoB8+0HkQPsrnET5CjxQ+qwUnPq0mGz7PoRI+PZ0MPsRIFT5PExE+mUkSPtloHj6PtR0+6y8lPpTNIT6H+hY+GWohPk1NJz6lxCc+qkIgPuj7Hj46FT4+lGgyPs6iHD6w6jQ+B6YpPrrAJD7YKxk+TGAkPhv6Oz5CCzM+ZeMhPoZyIz7eJS0+4e07PgulMD5LQiQ+fjYsPo+oJT63oSQ+adosPqGSNT6FvS8+2cM7PsmkMj7vtiI+SKhJPlRBXD7q8j8+ZBE7PmSHbz7Ms28+anMyPj3gGj7nXjY+3+47PnR2QT44LSo+OZo0PqSrLT6a+yE+LkUfPjoWIj65nCs+081JPlpFNj7nTxc+bZAlPsmjIj5GNyQ+QeQlPiZtNT4jPkg+AO0cPtOTGT7EsCw+hLUiPpaoHz5K+y8+czAxPiy2MT7NTUI+1kUuPtkqIz5ihjQ+h1Y7PoJzTz6RyUA+bvIvPqEaKT4bbSU+QygdPqpHJD4q1jo+tlBDPqf/SD627DY+gL4vPkU4Kj58zyo+CZo8PoWeKz7N5RE+J/IfPqsLLD5QQB4+MtIdPnb/Kz4xXjU+mGo8PoAzLj5hODU+6iAcPhHFFD4Q8S0+7OpFPjSZBz9oiTU/GfF2PhwtST7M0T0+AhEiPiWTKD7kNSM+yXIdPl3PMD7ZETE+pewzPiB4CT6pCA8+KoYUPtdHKT5QFTU+M4UbPvTGHz72aCI+W14pPjA7Pz70bjU+Ed8lPqV5GD4E2Ss+Si8xPjEkJz4WMjU+X4ZLPryjUT6ibTc+5WY/Pl2wLD7bFzA+nsYzPmp6SD5pKl8+1+FGPhcbOz5imDc+9CYgPv3jID74vTM+pAoyPvjiNz4pJDQ+M+47Pn/WWT7MXWc+bglEPqPKNT7VJTU+eD1FPhSMWj4sC0o+vBwuPg2dND4cVR8+sR0uPhjbgT5q8YU+EiZ1PmbFkT6KeGU+3nh6PuVJez4L4DA+IAEzPkvoMz7sN3M+1KxdPo0iRj7UQCc+7AccPtnAGz7IPBY+n1ErPsy6Kz6gWhc+sKAqPsueKz6tWic+3O4yPmpePj5qzTY+L488PvEWJj6xJCQ+hHEmPmHzJD58Qik+X+YkPm1UMD5p5BQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyYoXT6K39k9rxGGPZm6ij0JM5k98HuhPe/Poz1nCpY9ouWXPX0imT3R3pc9+COVPfNhnj2KXaI9vLCdPSCeoT3gZqA92T6LPTuTXj09mEY90kc+PWjKNz3GwUY9vrlCPerdUT2vlG09pLdfPQZRWz3HhGc9LLRZPbMgXz2CiGY9NCZoPemNgD1ah4w9+GSKPW3ggj0z4Ho9P696PXNudT2OeWE9/31zPUCFbz0ERnE9MLt/Pbb0eD2WvnI9gxtrPR9CZT0TeG89W9qJPUbKij2Oa4w93taPPZuskj1B/Ho9bqdUPRlRTT3qknM9XFGEPfYSkD1VHZk97nObPYq/jj20dY89i2CWPTftkz07SJI9RseNPWV7iT10jYo98DmLPbrijD19sYg9aRd/PUJigD2troA94AqCPS42XT1lTUY9iodOPe9uTj14JVo9J6hmPbcTaT3YpXM9Eqt2PWJZeD1f4YI9WAKGPSK/iz37xow9ImhwPXRkaz0zDWM9eAtgPZknTz0WVUw9DQpoPc9jZT0CpVc9qqFSPabiZD0/s1Y9ovlSPeb2Wj2+U149MxZePZ4Tbz00T209kIlmPbs0az0IsmA9L2tPPZEbOz2v1Tw96KY9PbVDOD1wljQ9FWs2PSkMQD2Uv0g9p4NcPTcVaz3zVH09yOdsPRNbYT1sXlE9+epKPYqlQj2Vr0Q9NVxFPZ7pQz1AlVE9C/hkPTKIXz1kcGI9jzt7PXxraD3QcFw98G5JPYt9Pj0U6z09wbVIPRioOz2qfTw9P0xaPVrddT1t14w9kkWRPXOxdj2R0ek9khYcPtHuCT5kmSY+oKs+Pkr0HT4KSSc+MgMlPiZFFD7NfxQ+Cj4OPiUAHj6YPR8+DCQfPoDAID7fih4+0bIfPuZoHT5oRhw+j/4XPu61DD6XmSA+a84sPgPvGz6PPBg+fFclPmPyJz6hlS8+03cqPm5BHj5rcCM+Id8TPko6Hz6dCTA+kwUsPsjUIT7MQBs+0OwYPje1MD5mvjk+kXouPp4OLD7bGyw+3/0oPuijJD7kixY+5ioaPqRDJz42iD8+rVAyPv1dIT4E4zA+xW9BPqT3Lj5jHDA+HxBBPmgyRj5uBEE+6Tc+Plu9SD6jh0A+aHQpPv/YJT7ZLi8+IOc0Pu+JPT4ejDc+BdEnPi1sHj4L1iY+hHQxPhA4Jj5hICc+eORPPs6qSj7zyzk+TqgZPu1yMT4/jUI+SOU9Psd+Qz652VI+JnExPmhmOD46aic+xJUZPpgEJj5SGi0+A9QePoILJj4lgyY+kGsiPppJJz65fiA+3yszPmuBOj5MSSU+u7ktPq66Tz40KEY+om0qPsbKHj6Poi8+3yszPn8oMz4OBx4+qTsgPg3QHD4pxSM+d/MlPgxIJD47jx4+6AcSPi7ALz6Txzs+yT0pPjJRHT6VYSk+aFIrPqwVKj6sTSk+Y6QLPhEWAT7rmxk+L/sXPhsGLD73Sjs+fGIgPro5ID4F/IU+2wLWPjgrHT5augU+6q8pPj8GMD5CwDI+V7YiPqeoLz5JEDw+VPQoPnqFIj6w2ho+bbIDPvuOCz77XBM+zGskPjBUFz4r4SM+XRIzPsA+Iz5Q6hA+GXwSPqKrID6wmkw+Eck7Pr/FIz4Ygy8+KM8gPp3gGT46VRI+eyskPnB8Pz7XyF8+Y8lEPmrrRj6u7kY+2Vw0PpWlST5PQTk+EG48Puf2Kz7+QDE+i0Q2Pn05PD4OrS0+h2AsPoJjLT7pskc+YkVcPncoXT4KIUc+L8sqPsh2WD6JuS0+MoslPjt4Kj4n3k0+wwxnPldQXz7F13o+xRqrPs8Qgz7Y8TM+8E06PoDodj6H5lk+CJc/PuZ9Mz4yXRc+vIsVPtN3Jz7YRzY+6tQrPnCjNj52Bxg+BtYcPpaUJD5DTiw+sQASPlx0IT6K51c+VJBJPnERKT4NuyU+qXojPirIKj56JR4+/OkVPm/lJD7NrRk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/s0q89ZhOKPf/VkD1F5ZQ9V6eUPYpMlD1xAJM9vuGOPeWJjT0YfZ49tj+TPV2VhD3eQoM9PZCQPTqkcj2bdFw9GvFePXiYTD0SP0E9G9ZNPWhWUz03DF09zEJ5PfXgdD075XM99ytkPU/tYT3hwGk9wkdxPRJyfj1xNXk9TOx4PaLagT0j1nU9wWB5Pdz7dD0sn2o9ozxrPZDtbz2WBGQ9oAtqPbLBfT3zcoE9aVeCPbZtfz0jSIA99DSAPUvbcj1oSm89EHKHPZK8jD1vyI094MKFPbC3cD05hlQ9KUZMPaAGaj1eV4o9N0KNPW8YjT2IzJE9rgabPWOjjz3zbI09vdaRPaNCkT3vfo89E3mOPYnmiT0sooU92wyAPZSAcj1rBoU9MriRPVgfhD3cZXA92Uh1PQtmbz0ntWs9clByPar3Wz3C7lE9nSRiPbMtXj2XE209eIB/PbbcgD2CgYg9VQaGPVlJTj3L3Dc9d69GPe1zVj2bl2M9loNzPWlBZT1RKWE9ddZkPUF1Xj3aXFg9pNRYPRM1Xj1NSF09k85cPc1ibj3IHG09QHxuPQHIfD0TA3U9BDRePT7jQj0qLjw9fbQxPWQANj29xzY9w5A+PUwFPT2MYUY94bJFPUBZUj0V5F09pANtPU41eT1lPHg9vshmPbKGVT0NMjI9MLosPXerND2/iUQ90TxJPS/uRj1HX1s9YupvPaUFZj09imM97ahlPer0QD3ZUjs9L5Q0PdpEJD23rSs9kOg+Pd+fPT0FGkg97AJZPQfQlz2S+oA9DVAfPaT1Ij14kDg9QXmRPf4VAj6NBCY+Td1ePkeBJj5eSig+hEEnPsBaKT7iQhg+OsIUPqXfJD4M6S8+WPojPpHWHT7qvjA+opMhPlRMHz7ClyE+mrMrPtMcJD6rIyc+xwQ0PhQVKT69/CY+m1QdPhTDJD5lczU+3o4qPhtnIT6YkSQ+BgY3PpP/Mz5C+Sc+wDMcPlLMEj4NZSA+0WIsPm7NJD4gCi4+MVklPr4rIj6jQUI+p4dAPlPONT7lFSA+HPAbPu0HGz6q2iM+VWwhPlBgKD6wriU+ZTNTPla7RD5yWR8+LxUvPr7/Nj7XAjc+6KE4Pt09Rz5JLFM+yuFFPnrpMz51Ii0+a1QiPrRKMj5byj0+qk0kPoNFMj5TnjI+n3gwPthTLT44yTE+dBVGPovIPT7vOyY+m0YUPiuNSj6Ivy8+r985PhasUT7FrDg+CZM2Pt29LT5cEy0+a5UePqCqKD66ujY+qtkuPigPLj4Oxhs+HrcePmVELz7hfy0+TMsyPt86JD7EAhQ+5YwwPhZbRT75P1k+F91JPvNIMD73/yc+owQsPsNLJj4FKyY+JvEsPhTYJD7RZjs+ShZDPiAeKD7A5EI+Ay0pPiKrGD7olio+hksqPp9BNj4akjs+glogPkgxNT4LMlY+jR84PnPjFz4aNhE+OoEdPrnWIT5AeD8+/LM1PjQzAT5naXA+TEo7PrPNAT531A8+VPoiPpRWFT7+8R4+P5cHPgRYFD5bcxo+LVo5PlXNQj7ICyM+uQ0mPnfqLT6DSCk+RiEzPlCLID7btig+9n1gPg/HTD5duz8+uDUhPrVHGj4F9TM+LgMePn9dRD66FiY+IhM0PpxdST4WYxw+YU4gPjf6Rj40iVE+6704PnZ8Kj65Ric+LjEcPm+wLj6DjUo+ByI1PuMjEz7Z6xA+u3oYPvMUDz4v5CA+JbYiPuUvJj6jGVs+8ipRPvoQFj7qgQs+kutDPt6xij4EdoI+fIVpPhilNz6YxCE+6b85PiOHYj6cj44+CRt1PrsBaD5fSlw+MiJPPi5kTj6KL0s+4wzKPnHJkT72pyU+jfsZPlUiJT63JDg+maE/Prv/Hj4YSBg+C6UbPqfiGT49mRI+780NPuWKEz4msRw+BmAaPpeOFj6PlSU+ejIsPu7ZHT5WfSo+s1kgPhMkLj5s5yM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9jqr493ouPPdW+jD15nZk9y3WUPW2Slj0Bv5s9yGKPPdXeiz0sio894siMPTiMfz2Zt3c97/N/PXCwbT1SXV895GJfPfpCUD3/Tlo9l/JiPfs3dD1CxHI9z+d+PSz6hT1SV4Q9C1t9PfTHcT3PVGQ9KCVlPa/pgD3gdYM9aAdkPUvkXz3MkVk9W49oPXhWgT3S6oE9ejGHPYwZiD1V+Yc9EIaHPflElj0l4Y09T8xwPS/JeT2S2249elKAPR1jhT3XcYU9ePyHPZZQiD1kGII9nf9ePfRWSj3MaFQ9Ui9iPbQ/eT3NW4c9HemFPWDBlj3EzqA991mFPTAGbj32lWQ9bmOAPWQUjz3jX4w97ph3PaxDhT3Ywog9RTh9PSqAez0OvX49um2FPd+VjT2JzX09wWJ2PUE3aD0XUVc9T9NdPUR+Wz3ct209ThqAPZftjz1Yj5E9fKeMPQRBjz1f+409qdJ/PSEAXT2LkVE9ju9OPeXWVD0GDl49zOFvPTgVdT36NXg9gClrPV9aZz2bLmU9gC5lPYa0Xj2NGE09r8hePZgyfj1JVYw9oLGHPXnefj1HWWM9BQdWPcZBTD1vykM929w9PfaINj0kE0U98ok6Pb/zMT2vDUE9X/ZIPWqPTT3KV1c9+ElaPSg/XT1lT0s9eu05PQ/yKz2pBS49HTFCPZgkRz2xaVU95FtQPZl6Sj0+bVc9mMRaPYtYQT2RwzI9pis8PbDILz1zYSs9AEonPV+wHT3SjCA9OIUtPXjUOT3FQTE9Dj89PfK1vz3r+ds9Z6dFPbMzFj2FuBo9JNjRPdAuNj78ETA+OMdAPon0OT62ADI+qUUsPhHbKT5X0R8+CKsLPgiuIj5aUy8+DMAjPur5ID5soTY+AAM2Pt7QKj6O9S8+hipNPoCvUD7fFU8+kxQ/PkChKz7djSY+kJ4lPo0gKT6ZBDg+hSMgPkCuMD7AOD0+pqgiPiXpIj7zbyA+fdYjPpkkKD5RfSI+dqojPqwKKT6ETjU+mtFIPjLMHz6A/CI+VkovPv53LT58hCc+5+8qPqZ0IT7CZR0+9oskPh+qLz7vnR4+jINePkmwTT6pujs+qjhAPiyqNz5Jmzw+SEs5PgmnTT5anEU+2t9GPnV8RD6NA0A+lvYvPkuIKj4iBSQ+U28iPnHfHz4NYCQ+Wa87Pj6eUz6byDo+rzgnPrWhJj4B8hQ+q8AiPlnkQj5WIDw+UIs9PhSzXT7/By4+PykrPoKvMj62hy0+eF8jPhqeHz7uCSU+JJIcPmuDLz7TeSg+oXQYPnG1Lj6qYjU+qVAmPmahHT6tfyg+Fs8nPteSJj4oBjQ+Hlw1PgfeUj6zo0A+9ZU4PmxbQD62LzQ+RwBCPk3zQD6vDTc+uzMoPid3IT4kjj0+4EdJPj7SRT46E0M+zQIiPoeaBD5tjB8+790jPibbNj6v024+m6dFPkWQGj69HxI+ySAcPiWPOj6pQzw+NkIpPgOW/D2+9OI9O7wOPjdAID71Uis+Vsc2PvTvFT4EbiU+8WggPuXnEj4WkzM+SKJWPgGLQD6epDA++q82PvOoOT6jrjE+k5AvPvVHLD4xcTs+Ws1APn/GNz5fHDo+H1shPpfHTz5AZVY+qZtIPgRSVD4XJ0w+VeprPqWbOD6mgic+BZcxPp99ST6L5U0+jGwqPvS0Lz6OFTA+p4EiPhrsGj5JDD0+WppIPkxuND5e+Cg+sRM0PlKWLz6C8BQ+CawiPuBLJD4/cCY+1mUqPq06ET5vjxI+dFRQPrqAYz4AAY4+MINNPgmKOz6m6CE+t5sVPov1Lz4DNmY+Jr58PjKpTj7nFDE+l0dNPj55UT5aGTI+83l0PmiyQj5FFyY+cUMiPnR8LT4RdD0+RWQ3Pij3LT5+GCM+DO0ePuISET48ySU+EKInPkmREj5OERc+xrYlPjn5JT5MGw4+6p0XPkUlGz6eHBI+mZMcPpu1FD5AMA4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8opcg98gaKPTvEhz0ScY09CjiSPdrKjz1yV4I9rHKIPSnIjT2d7os9eqyOPQxokD08CIU90U+DPdlziz2njIw9v0SNPUS9fz10PXk9sERrPWKKWz3yw2Y9K31uPb9bYD2Tl1U9AgFbPeatWT3gLlo9n6pTPb2YXj2Ff089S0xDPUeEUj2DIWI9MWqEPSV2jT0gn409b9iTPT8sjz37eI09o2yKPcaCfD0YVWs999RrPcRcbz0VBIE9CquOPY8gjD2SyIY97u1/PW4mYj0X5lE9YQJOPfR5Sj0Y92E9Fkt3PWPCmT09yaE9W5SOPZP8kD11SoM9JRFePQVmcz1T7mg9Nxh/PUxEkD3F9Io9dHqCPQvrfj3dNIQ9YkZ2PXw/gD1kgYc9A2qDPW0gdT2mtGM9whBcPf/gUz3sDmU9JlR1PS8pfT3YPYw9hASQPZIUlT2jYpQ9MwGOPewokD3yh4w9dYOKPTuobz2tAW49+YVuPZqqcD3+3mY9rElhPTDtYD0NhFc9vpVaPdt/Wz39bF89la1zPST+eT1Ov3I9M4yGPeLbhz0eOHU9OodYPUNwSD2lkkY9l5dbPYb0TT0QqFo9YCZaPRrYRD1bNkI9bMY7PTDKRD2lt1I9DF5sPZcVZT1sgko94dBIPUIEQj1I3zU9089TPay8TD2FZUs92+NZPX6OaD0yXFc9f2Y5PaJeOD3C/TY9Kq40PXyCRz1GjU89RS1aPb3gTj2PwTE9ze4hPa93FD20Kx09I/8cPe7eHT38IiM9NzojPeQFRj3MlU092icfPUlqMz0irCY9YjQ9PYpY6z0vI0w+4pKBPvOzRT7NcjI+Xj8rPhv4Gj7PgRE+f34YPoNZIz67XSE++S8oPnLJIj55DDk+RFk1PnhsIj4SICk+Z3M9PkfsKz5G10Y+ah5CPkWyNT67fCk+KTwhPsgQKT6Lbys+e98qPtNuRD6Dqzg+wSw9Pu3YLT5Z3h8+QXcgPvBXIz7VxR4+KKoOPtcZOj63Skc+Xzw1PikJMz73wjQ+3Q89PvItOz6IAio+/govPnN+Iz4pASA+swAqPiTBLD4z6SQ+okKBPvxbaj4/Azc+QZk3PvAqST4PDTM+uBkWPou8Hj6Xyhw+tctMPmtuST5S+T4++xNEPhaANT4zYyY+vxMmPu11Kj7Unis+z60tPqxXKz4q2jQ++hQvPgFgLz4q6Bw+3Us1Pt9ARz6YbzI+3lo0PsuORj5khz0+CrshPjsBJz4iBhg+GQIUPuJ0ID5i/Cs+DbIUPge5GT5oNyI+34UvPokMJj7QzCU+PfwpPvvVLj4kfiA+7n0rPnriLT75uyw+LFk7PnxFND573j0+l/RjPncaTj4+0kY+sOlbPiebSD7pMSo+9EIxPiZuJz7kdjs+jt5NPoRgQT7FgS0+UUMXPssjAT5X6hU+KmUYPuOgLz6gbjs+6MM1PnIIQj7XLk0+efAsPjBGKT4t8SI+sBlDPqHUID7/LvE95FAMPjudQD7qTjs+sx8pPjpxFD6GBSY+Ch5DPqeEND5T7kA+6glAPsSgKD4UfSU+ehIlPuXXND5rljM+30BuPjExWz4LQUY+B/Q8PpKGLz5QcDA+oXkwPpHeKD5nvkg+cIdePjtNlD5jDIA+lX9RPoFuNT5ofiw+CRIiPvNyGz7UJTI+SKUhPqbuPz63dCI+PhEaPh/QIT4phxc+fNkvPh0EUz6zrDA+c/4sPrcWOj4gqiw+G8A6Pp83HD422yY+UhM1PgnILj4U8Sc+v4dFPm5vOT6nylg+dsg0PowvKD62/SY+yZgDPv/cMj606Sc+qkxXPohXsj5hC8g+ZViEPj7RTj4rAkc+vF9CPrjqUT6af2s+ETFAPvV4Kz70NkQ+BmBLPmwZLj4vvzc++VBIPsGpGT6/5hY+4oIfPmWEBT50FA4+JqgoPq46Gj4NxBg+mmAdPqpACT5tFhY+JX0SPvOWJD4m2i8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8Lf6g9eBKCPY99hT38fok9g5eNPU70lj0DS5E9tZ+WPdMmlD3TYZA97LGJPdd6iz2aqoQ9EOuCPUp7iD2EP5U9SAuNPcoBhz2naHo9dPt8PQIFYD3RRFc9/wdjPfWxWD04xVE9QoNiPfCTXz1R2UQ9Wf04PZSNRz3UPFA9X2RjPTyegT2plJU9rrOjPcklkj2p/ns9T1SAPRPbeD3NsGg9XSZoPdJxVj06G2I9dOl4PTfWij2vZ5s95zGXPTDFgj0f2GY92RBaPWGWWj2DlV894SVpPTNzcj2h03I97iiAPdTOhD3LxHs9QyxxPYqKbz2aPns9fdmLPZvlmT32dow9HpeRPSramT2JWZk9HfWRPcd8hj2IZJE9Lq2XPeHBjT1XZIg9sxl0PaMoZj3R8kg9OKxRPRG1bD2Cuno9STqHPf/ijD1cZ5Y9PkuSPe43jj3iu249UKhoPQ98XD3CnF493o1rPYB2aj08vmQ9fo9WPVrVST33ajY9cmxBPaefTT3V7lw9czljPWnFgT0xSog9wu2DPYXIhj0aoYA9NeZyPXJuVT3CTE49CGJGPdaBQD1JLVQ9XFJSPUDqPz2qoUU9hLNKPR+7SD23klM9aWdQPTENWD2sKV49IqNVPWvnSz2VgFE9T3NMPYlkOT1T+Dk98flXPTYDWj3A5mE9uP9mPc8nZD3JU0Y9wWY4PZ8oMD1eaUI9R01SPU0qTj3M1U49clg9Pb3cOT2zkCI9ZsErPYKrIz0Y0ig9gOUkPVDEIj1XgzE9UuQuPSx0Lz3SZBQ9pBgYPRNwHz1dXxI9CjNDPXa1bj1X1M09aAdPPlEQXz4AQy4+C8MdPptDED7GVA4+pvYePvOOJT7Mvyc+6HkqPmUYJz6BUSA+Ed4rPmuzHD65Tho+i+YePozxHT46gCM+0cwaPpgUJT7Yjhs+PjMYPr8aGz7HjB0+1tAiPqf8MD5mDTM+wNgzPjSELz4XKjI+CBwkPowvFz596Rw+dbcgPucRTj7yI3E+iF49PhUtNj6BLDo+TuA0Pi+oKT5wsCg+y88rPtrtHT4+0gs+Ff4iPtwCPj6qdzY+lTJcPpERgz6DTE4+2ltRPmgjVD5AQjs+vS4iPn7gOz7GbjM+KEU5PiesRT6FPUA+M4M1Pm7INj6WSDU+1E4yPjlTLj4/CTY++1QuPshuND5QDTQ+PXtCPgVoPj4pRj0+T+4rPo9lHz632zE+iCUlPssHKj66gzs+XNosPqvVQj5Bti8+r+YjPhubJT46JSA+QgAaPo0kGj6lNCA+lfUfPmCWGj6ffRw+OtZRPqdLKD655Cw+4+QyPvCeGT7O6ig+qo0jPma3KD6RAzE+5w09PpWpOT6xwTw+rzJIPrXsQz6Pvz0+D7ZWPvJaQj7WpUQ+Ax5DPv7zPT6nvEU+7zwzPgeSKj7T3is+oIcwPmLwRj4WWjI+vKJHPps9Wz59v00+LAwsPnnUGj68aBA+xcYoPnzIJz6NxDI+VnUwPsfPLT6E0Bs+Lcs7PqDIGj6q/CI+hpc+Pt98HT6fkB0+e0QtPlTtOD4E2Ec+WVQ1PqhuTz5r00Q+rGtDPuhtMz6Y9D4+oZ0rPlH/GT4ZviI+XIkxPq9WMz637Tk+BNwnPgN+Lz7Cwh4+TdMyPkl2ej408l4+Z+I4PrU6Hz4FvBk+EjsaPtNyPT7iXh8+H0gbPuIYLD47eyY+s0MjPheVLD5prUQ+qqxaPrv3Rj5l4yI+NI0gPqhJPj53Ck4+Wso4PhMkLD5c1CU+BUsnPsjaKz7Ycz0+cdAuPm1ZIj67GiE+3UoMPh7oJz4PrCA+u/AtPvQotT6cBs8+FRhnPq3GWj5LXXE+VNVhPvwWhj4bxlQ+RS5SPquBWz75yVw+BL9MPvX8Vz5KjkU+zPwnPlK5IT6c0RU+0mgbPtNwHD5hDRw+INIPPhpzET5hvw8+W8MUPjrOFT590RI+BsoEPiQlGD7wSjU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9rgpc9Ej+JPRK9ij150IA9NF+EPVHIkj1pGZA9la+PPZeuiD2w54I9TgGBPbwXgz2X04U9ISeFPSC7gz2C+Is9J3mUPdYUjz2Z/o49pCaZPU2LiD01eI49BKKSPfMAgT1I8XA9APtgPbMbQj32lUA907JCPUmEQj3Awlo9P1Z0PUZmdj2obG09TPNYPb3VVD36oWU9cltpPUYDZj1a+mw9iSGDPb16dz2xyYU9YZ2RPdRZkT3pppU9pFyIPfrJXD0Vh1g9sQRZPcQvaj1FanY96xeAPSr4fD1qoWo9NnZyPXQVcj3tv3Y9Tw6CPUUVij10WYc9wDCIPQw9lD0jh4Q9rGt/PS2GlT3KH589OQyUPQR2kT2n0YQ9/i19PS8jaT067l89I7JaPaLgXD1wY1c99xdmPf51ez1cv4w9i+qXPXpBij1GyYk9T0p6PWwNXz1DfGA95ZFgPZv8aj0yDnM9+RZsPT2PXT2illQ9BgxiPTzeTT1kMTY9LtBNPZhcZz3lUV49WEl8PRo+gz1uCoA9/wV9PaKhhT0XNoI9U/h0PRJuWz3JB1k9kldJPZcUTj3irkc9J8xDPbwtST0U8U89pQRDPTB+Pz1wx1Q9ChVAPURyQz3t0ks9xSNgPXNQUz2HTVY9Y79dPQCHTz0Vl149aEBhPY94Vj1CDE090o9YPZHNTT3Y6zk9nzkxPf3vLD2V4Sc9+i0uPdbbMT1pay09aqEtPQGIJj204xw9GugXPdaIFz0ubRw91rkdPbN6Jj16l0Y9z+eFPSVSbj1OCQ898Q4QPQt0JD0QNQk9MCE0PZ1krz0vfgw+WCZFPpFNUj6ixxw+/i8pPnSzHD5qzSY+N5YiPjG0Jz4S8ys+Cr0iPgtmLT7Z2SI+La8sPskgJj4AwiA+RpEaPk4gHD66oSQ+0u4uPkerNj4zWRQ+4D4MPlB8ID5pODU+VDU1PjTFPz5v1Dg+h+0tPli7JT4ySSo+oLgpPnN2JT7erSY+LDUwPuFwTD7YUEI+YYcpPmkNPD6vzi4+OxggPusfIz6aICg+4SkjPpg6Kj4z4Ck+LJcmPosjKT5c+ys+TeM5Pt5sQD5IATU+HaEzPqVgMD7tIS0+yN42PlMrLz7B/Cg+11FFPh2oXT6gF0E+9aRBPh33Kz4vrCI+XfEkPuI8KT69wS0+lKswPhC3JD5xJzE+ujY+PqkTQj4GJDA+pgccPmEaJT6utWU+sZszPtefJj4zMDs+epkxPkNCOT7ZAC0+BEskPoB5HD4/1Bw+R8kJPmFLJT4JEiU+X0YiPsw1Gz5bGhI+Izw+Pk+3GT6WRDQ+8NUjPtuoJT5eWjo+kv8vPt9tLT5PUS0+rZIsPiM5Rj5UjjQ+Nok/Po+/WT5K3D8+TUA9PmAXQD7N8jI+p24vPlxsMj6NXS4+5G4xPsmJMz63/jg+GHs9PjVVOz69RUM+A4VBPqZHMT4LADU+RpwvPjZULz4XoR8+EkAjPtBGOT4F/Cs+zj8lPtcdKT7pnyM+ApUcPuecFz6vCws+TVwYPj1eJj7mEiM+Luc5Pq6UTD6aIDU+JZUZPu/yhD4ZOYw+P31aPuRJLz4vATo+0J06PpTYMj7NOyk+zQ4xPowJMz58Vis+m0UxPjEKMD4evDI+M3g5Ph/0Nj73vjI+MYgfPgeRFT69HjA+onw1PvoEKz4pTiY+NUwZPkI2GT5Dvhw+GHkZPhWCJz63lyk+2ttIPjwJNj7bpzY+k6hiPtB5RT6EiTc++hlSPt6cVD6U3jg+FLUsPk1HMj5y0j4+86IoPvtdLz7Ry0s+ZeAuPu8VET6KgSk+HHIbPkNzQj59Z58+bBjcPtzQdz5Mmis+bc03PghiOz7vUTY+WXl6PrxjYz6YvnA+2Ww7PmezHz4sZ1Y+sBdUPgNIMj6hrQs+fVohPhFGbD6yYUc+FscxPkOTSz4KBiw+qYFFPmnaLT7NnR8+DvQSPuuJFj5kTA8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/fXZw9L42JPT95gj3e+II9C+mMPe6AkT164Y89evyTPZHekz3XQpQ9b8uKPVDpij1Cf4g9mCyRPStHiz0Y34U9V9KDPVNbhj1t+4w9+PyRPcv8ij1U0IA9SGBuPVieRj1IqEI9quVDPQwkTT2bTFk9rXhhPZKCWj0QY0Y9QBdPPXeVaT2Pkl490rhbPVWpdD1toIQ9IW2EPXSWij19aI89eB6RPfpDiT1xXYs9YAmNPfxahT09UHI9Q5VhPbV/YT0pR3E9srKJPR2Yhj3OEnQ9ynpSPUjYSj1cel49TpV7PbYShz2JGIk9GPqSPac6mD3cdZE98maJPQQujT3xipM9adyXPTsilz189Z89pIOXPV0XjT2X63A9EadnPfb1VT1pukw9TLpXPQo0aj1zYXc9Jux8PekAij0sKoY9lr2CPTJuiT3ql3M9uWttPb3QXD3KC2g9Swp/PbYWYD3D9049cCNlPXVhaT2KDWM9ZhBjPeeHWT2dan09RVmDPZMQZT3/aGQ9Bd17PReTiT2LLoo96iSLPbhxgD1SkWw99uNdPWVqUD2mfEw9zNRQPdbeSz0wW1A9ZxpWPTn+TT3T51M9ljhKPce9Sz2I2WU9+ohNPbMdQj1p8Eo9ipdoPWllUj3ARUM9eK9CPdp0Rz32S0w9HJJZPShrSj27I1I9gDpqPQDqVz0R0jY9I8QaPZFzHD2LKy89BNE1PUCxNj2wJyg936wZPXGbGT1a3AM9ORkHPWzFFT2nohk9b/8TPcubHT0whlE91k7KPZl2rz2+MSw9mp0tPZWbDT3QmAs9Z80sPcKipT2ctis+CWA/Pp9HKD7HhB8+8oogPsilJT7HgC4+Y+0jPkfBID4BLSE+lfkpPlKAMj4/HCo+bu4gPoEMIz7xXjQ+8jMuPrfZIz534DQ+H4IsPqFPKj7bzBs+1XoYPtwcIz4TXkE+ZJeTPqhWeT5ar1c+7IFBPs8JLD6T3y4+keQuPvzhLj6lrSM+VtMnPuDCIz5YESM+NiokPqyCIT6HXCY+UQ8jPjbCJD4RHys+SdIgPm84ND73qzc+HqYuPvzFNT4WRC8+hmw6Pp9fLj4uCiQ+y1ciPm00Iz5U2yw+WCsrPlPlOj6WSTE+3QRAPkLMPD5TTjY+kihSPkcxUT5rWjI+aCosPkwjOz6HVTs+UJIyPoxDIz5TWSM+/7MwPlBfQj5F1Eg+PvEtPk1QID4gVUA+dAUuPsS7MT7ZJzU+BkcrPuyQKj4ePTc+DN0rPmm8JD5HKyU+3h8tPpVbHD4G/hc+/44rPsTpIj7a5jM+DVIqPlfzLj4MGS4+AfkiPojUMT6DVxo+IwYdPngOQD4hgiE+nJcMPgFUIj5iMiA+CPk+Prg6Xj5g+jE+FDAoPvdOKT6y0EQ+Lng6PrFpJz5njDs+YH8+PgM2Lj7aziE+xukfPpbbMT54bTs+Qvk4PnpNJT4fhxM+yG4PPgmiMD6z0Us+hLIoPlJwEz6PoS8+v74jPvzyIj7Hjjw+Tp9CPrsaHj7qsBI+P60WPmuiGT6Dhy8+KuUqPoBUNT7Qg0s+QewUPoRDVT7pR4A+odmLPobJVz7HM18+YSNkPsQjVT6l6EM+W9xKPsOxLT4c7x0+emIjPhR9FT7wqBs+LP44Ps5xNz4wdjo+1e4uPh2dMj4LoEA+zNM5PperOT5DryY+O3sbPgSkIj6u5yA+xUMgPj/vID7AAC4+kjgdPqBEHj6okic+jdg3PhXSPD54QUY+mxcwPjwLUT7o4js+ReMrPpMsPT7X4kY+lPA+PpL7SD6zo0I+FrIDPuuGDj6/Zyo+R0gePg12Jj5Em4Y+eaLSPgm3gz4eJ5I+FiuEPveIJT5tolI+5ME4PthgMT4AIz4+c7hbPpWOKD5Je0I+GrkSPn7AMT7by2I+3c05Pp2POT5nIS8+zrIfPn5+Kj5rFSc+chwvPlXRNj71J0I++/5RPqebFz4aoxQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8D5JE9Ck6JPTGfjj0FbI09TXCLPbbKhD1jp4U9N5KUPea2lz0hgJI9MdmVPbzwiT3ie4Y9F+97PVCCdD1sZ3o9f917PYP+dT3pT3U9VDVvPRpnTT2Lkz49ut9JPXJ2UT2Q81I9rfldPQoKgD2wNXk93X9mPbbCaz0b5nA9+7JuPVELeT2BKX89mN6LPSvMij11VYg9dheNPVO+iz0dgYY9NlaKPb58iT3ANYM972R9PRqsaT2BZWA9pApxPZK3gD1nloY92pGFPZprbz20HGg9ctpePZ8Gaj1mVHE9d5aDPW6Ajj03t4A9bSuDPQZumD0WSZo9EUGWPXb/pD3SX7g9+2+2PSYiqD2JMZU9VGqFPZ5+gD37TWg90HhnPQ+rWD1iYGI9JJJvPaJagT3ayoU9ySCJPQokhj3wVmo9UCBfPfEiYj3KyFA9gZZcPTQ9XT3jYFI9WAZRPZ3VSz07aE09OypaPaWfWz05AGM960hwPaBShT3M2IQ9K4aAPWvecT1CKX49AUOCPSWlgT0piXo9A5RbPQTbRz35oUc9Z0ZMPbYnST078VE9XQ5GPSpQTD0htVE9rKxSPYT4Vz37rFo9XsxaPeQiXz12yVc9DKZFPR2vTj3e4kM9dS0+Pai/Nz0J+D09qftCPTZ+SD2ILU49V+JePUjVbj1ptZU9yJPZPR1Pkz1cvSU919kUPXTVJD3IbCo9zSQYPUWtFj3tWh89e60fPXgtEj3ggAU9kp4RPSpYGT2ERSU9BPsdPRTrHD2afBk9hQ0qPVA4Kj3a21s9bgHLPRAAtj1T16U9K7frPbG+QD6nsF4+hCY2PjjoGz6pwhU+XU4TPjIsIz7L1yQ+QLAwPgxuLD5c/Bs+qKcpPn+DLD6h2yY+bnYgPtIeIj4S1iU+7l4MPrnQAz4LiiM+vXMiPtCWGz5Rgyo+dgM8Ps91ND5QgD0+b6Y8PsdiID5WfSQ+0CUxPr8EQT5u4jA+TdM1PpVOPD7j6k0+qalEPvQvNj4/kC4+j9EvPqujNj6lHS4+CWghPisVOT7mcjQ+IPUsPn7UNj5u+S4+I30zPslrKj4gWSc+++knPgbPLj7xLiM+jwslPnbKLD6TJB0+S+osPv2vLD46Ehg+vzEpPtd9GD514B8+d6hLPsCfRT6N4EQ+fdQ9PpzHST4VXD4+77s3PiU+PT446yw+7vMtPm77Qz584Dw+HnI6PgASOD4RrC0+GGgrPtUoOj7YuCc+qyE7Pn7CPj6/DSk+3tAjPuOHMz6PaC0++hwoPgMZGj4VZCA+COMcPl8wMD70njs+/DAhPgC0Hz7rah8+8FIgPnIUQD5sSxI+z+A5PrMXQT6/uiw+mUAYPthiJD540Sk+ku9BPq78SD44dTY+YvQvPv+lIj7m4jI+eV88PsHJKT6ngiA+in0mPi+4Mj7+Big+bIAiPhTrOT4Frjs+PQM0PigBNj64iDQ+PjUiPt92MT6mqyw+1MIwPogGOT6I7is+lV8pPry/JT7lyx0+hCUnPjpJFj6mTyY+ZGE0Pj5UOT5Lsis+GAcOPvANPT7KnUg+KRk9Pm1bSD5WXTU+33syPinRKj6x7VU+24FVPlOfTj5pJ0M+A9o4Pn1pMD6y+jo+93YePld4HT7anhg+vecdPlyNGD7BUBc+spAhPhX8JT6s/i4+sw4uPrRuMT7H4TM+lUIjPiLjHz6FPjA++voXPonfGD5YdSw+QPUoPtmMHD7LnBs+zH8mPj5JIT6Q+Dw+bzkmPl6NPT4r1Tk+siIvPlnMKT4PvzA+PR1KPrWONz43fTE+vsIFPh2G/D23gTU+w5lvPgtAYD4470U+7YFfPmhOUT7/F2M+hfuIPlzJTj7Jfl4+HMVbPk8Ybz4QdWs+o+VNPuORWT5Owkw+pFg9PtBsiz7nZGY+ThQVPmDkMz5Sr2Y+ego9PnkLFj4mAjo+mw1ePlSxST46mmU+uGpvPtxyGD5gHR0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9IgKQ9cqibPXenmT2d95Y9grqXPWUqkT1C2Ic9rziMPdO+lj0NEY09ZziEPY7ahj1vvXE97ZB1PY7ghT0+vo09ygyEPbfmaj254m49ETtXPUwIRz2gQ0w9ZoBZPWARdD20CXE90xBnPdwGbD3HAG895ERpPQD6gT1IxH89aaaBPWkfgT1tsn49HZ+HPd0Ijz3qdo09Sm9+PclmYT3CHH49Msh+PekTXz3pBko9rqpfPUyAYj0ydWw9v1J5PXoRiD0Rmo89oyuQPfpqhj1IXIg9E5yCPQYvdD0nY4o9i+CXPa/arD2o+qE9akeXPXHGnD13PaE90gmZPdzgmz1385U9U26RPbWpgj2OSW490HVcPYz5VT02tGM9SWRyPZH+ej0lxX491IWLPRLQkz1TNIM9yXiBPbUuYT14B2E9PIVuPWUJeD2CsnE9+g9PPYjASD0U9049ssBWPbOFZj0taG89imhkPTXRYT26roY9oyqDPbuafj0luow94N+IPbnLgj05EI09MPKGPQ8Rgz3tQWI92ltQPcF0QD23S0o9CHVNPct/Qz2N20E9rDpYPXfBYT3hc2A9ZIRqPa/5Yj2kTGk9rDpQPeAqOz2N/jA93gY1PbhaMz1dsDI9YU0rPQxKPj24zVs9Z6BcPcoTYz2emVs9R6xVPboEUT3zcmg9DT2oPWJKrj0mR1A9NBc8PWM9Mj1pYiw9uMkkPemWDT39Cw49Z8YfPRHmNz2FIy49OK47PZPCRj1xjV49kj+BPSaCtT2BxeE9D51HPStLJD1hbCs9kfc+PVLFKz2tEBE9r6vOPbFMXz7RZmk+e3sdPrGAHz5Qyhw+sP4vPij0NT7JfiE++MkoPjsGKT64miQ+zHMpPotLNj6y4DA+qFYfPlb+ID79ixY+RQ4RPqsfHj6/lxw+r0QiPhpYIT7QQC4+G/czPi0YLD4FNik+e9gaPnwJED6SOhs+0Zs1PsNlOz45zTc+Gio4Psx0Nz4rkD4+E3w5PmURID6L3yM+/zsiPrggJj4dTiU+KhoaPmeZHz4n2yc+k/40Pv4dMj4JDzo+olUvPvYMLT7yfyo+0+EpPrCGKz67EAs+5porPh3KTj68NjU+JLUiPuyuFT4Cwh4+nEghPv7rLj6a/Ec+qtozPkWUIj5dFhg+uPMLPqaMPj5hCTc+JeAvPnqzKD7Z0C0+B0csPrrLRj7ZuEc+WdQzPoLNKz5ONTw+46w4PgKAMz62gTw+/As0PhoqJz6EyS0+XtQyPqq9ND7+vDA+3fkqPmEDJj7vzTQ+37YtPj8aIz4VuS0+oB4vPl08Mz7huC4+aAsoPvF7HD5SgxU+M3MkPsaxHD5A0DA+BtpCPqPILT5+hC8+pXs0PoiNLT46GDc+Yv82PrSnLj5MczI+Bwk4PgwgNj4Kby8+CUk0PuQ3OT4LZz0+ds01PmAWOj5l2DQ+N8syPscpQz4qPTY+pLAqPlRUQj6xXj0+kaAzPm96LT7MiCc+Ih0qPupAGj7I4RA+FANLPniXGj7TNjw+pm07PtpUMT4WVC8+vvEZPpLXHT7EViQ+BjAwPqv/Sz6+z0Y+QB4YPlg4+j12MSQ+aqpGPnLmOT7ZYk4+OnVOPjkcLj69PzA+vXInPoC+ID64NCo+RBo7Pm1VND4V5Tc+CjInPuITFD4zuyM+28UyPmomFz6W2B4+z1MyPqJCYT4rt2E+LKUhPjKyKj5EAzg+G5IWPoF+Cj7z+iI+mVwpPry5Ij6p/DY+Uc0/PuDHNT5noiA+NIohPhCzFj63hiM+13VEPpIqWT4FiUA+50YLPrjOBj743FE+cqCYPv1YgT4suSQ+U28YPknTDD7HnRs+Urk+Ph+GST7kMDA+/05SPpqsWT5lhTw+8uRIPmLnPD6Spjs+ZU5jPhSqVj52wzY+We4tPvn+Oj7fszU+gpMmPgbdLD4lky4+6o0xPqKmiT4AOGY+339FPnfhVj6otIE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+AUos9qkuLPc4Elj3LHKE9bIaoPfK4lz04k5I9PHCHPbNxhz1GUI8999qPPVvXjD3R24E9OH6FPb3WjT0+W6Q9TIiTPaSHjD0K8IY9Lgl7PXxdeT2JJ3w9tLV6PUd7cT04+YI9aTpsPb6+Yj3sDXI9J82EPQSAhj1/AIs9Xp6EPbwBhT3RAYk9VO6GPT2cgT0DH3w9ruxlPVA5YT2nO2s9S25oPRzhZj1FXn89aGt9PbpPaz2G4W09ot95PXhifz3D3YY9iVqLPWIvej2+GnA9eJWIPTuvlD0pnJ4919ugPTAhnz1yDpk90DOXPSQKkT3sEJE9wW6WPdbYmD2YPYo9Ue93PQfPXT3zB089YLpLPVlHXz3F/mI9UWuBPSNiiz3ckoU9+Z+RPe2+hz3kMls9cztTPRb5cD0+c4g95XJ7PZdXcD3wg2Q9FKtOPSXJWD2jV2I9MTFoPRQnfj2ymIk9PsmKPT3hiT3VxoE9idx+PRfnhT1a+IQ9Nvx3PT8ddD09jX49ikFlPff8RT11Nj09A0QxPYnoMD2dZkQ9NOlRPTjaTz0FVVc9v0VoPX6/YD3lpVo97ttPPYKnTj3XaUM9SxA9PcpYLD024DE9sIwuPXmwOD0nrUE9Fek2PUiTQj2/eFY9aNhtPaUkgD3q/1o9L8E7PVuIPT1j9j495VQ2PSQ8Kj24oDQ92MU8PacWKj273xc9bxgNPQHmFz0Vkiw9uXAvPTZXQj3MRzA9VAMvPVFxMz3kOu099K0iPj/OCz7YtOM9iBtnPRkSOz3ydj49o+U+PUULQj3FtdA9Auc7PsaXRj6k0TY+J54jPv5fGz4PqyI+wWo0Ph1yKz4qchw+PioqPvc+RD4pV0g+s40uPp5qND71RS4+NJkoPqHCKD4ROiY+dMMmPoBULT6y9hk+g00iPoBhHj4Dnhw+VSQmPn76Lz5gOSs+aO4qPu0oJj5U3iY+G94uPvQTNz6d3Ec+S5cTPuolIz5LujA+SQA9PlESNT6J/Cs+1GYvPp6cLj5Kqig+OvAdPs0XIz7qjic+HzIvPqyPKz5cAy4+I5szPm6uLT7F7y0+JZ8sPopFLD4daBM+r3McPvCyMD6TplA+tbw1PuTSHD5D3xg+gxk9PqhlWj477i0+yLoMPnqgOT73jSM+f4gqPobANj6ReDY+ceAlPulJLj6EoEI+Sc42PqINOj5G8y4+5FcuPqT/KT5fnzU+COM1PmYHOj6NAjw+h8Q8PpvZMD4m3Sg+Jq40PlROOD5vDS0+2js0PhPiMT5NizM+I0VCPrp6ND7tdS8+dJU6PvN+QD53iSg+uDMqPnktJz5NazE+rvM5PiejHz6OiUI+aepJPrGDRD7YIzg+9XA2PrlgOz77ujM+9JMwPrOMLz7RrS4+Eak8PgckOT5quyc+EI8oPrzfLD4CQ0Q+3mNHPtrvMz4kOUQ+CBUwPmNgKT6hYi0+BHwkPjDCKD6mCUw+c7w+PkDFQj51ljQ++sQ1PuvJNT754Bw+bXgvPti/Ej7oNz0+EDRAPjx7Ij4pqyI+PyIGPjyc4z2kU889zhXlPWoCJj7wMEM+dxJTPvM4Hz73qx0+1vMqPgCvPz7KtlQ+zX45PkbALT6LMTM++q4jPltrJz47gCU+QZwqPv9TRz4YQ14+kr5EPqNQLT6eKS4+3G4vPgXeMj7Gyh0+QD4qPg/EPD6rwTo+r0hHPmfEOz71/SY+z28qPgPYJj7ztCA+v6oZPmn1FT4IGTY+MjVEPj2NOD7nHQ4+j2IaPlBrFj4amho+AgNJPkoeYD4wNDc+PBMZPulNGz5SU3c+t7p3Ptu6MD78aDI+hjcoPt2vGT70Swg+YkgWPpglFT4NrDI+9Ms/PrBnND6SH04+GVVfPhGHXj6ty1s+E1hcPvt5PT568U4+90Q0PjbPJz796zE+e9ksPrnqOD7/iy0+xJgvPkYIRD5cTi8+Y44mPh1PUz777bA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+AQ5497bGYPVz7mz0bhJg9KFuRPbvGiz1K3Y494WeJPZ4XhD2r74o9ABmRPWLXkj2Cr4k9eouVPcVElT3Ohok9G5SIPaiMgD3DDns9OSGCPSQPgT0B2GM9o9ZZPQo9dT1GxH49YRd1Pc5Pej2L4n09ZYOJPfZKjT0zOIk9pCyEPeaAhj0WNIk964tzPU+TZT1v5m09a75pPTuebj07b3c9lC6EPUGwgD3GUIc9CMaPPVxfkj1J74U9rDuCPZt0ez0+GXQ9RxV5PdKmdz0J6YY92CmePRrgnz2Go5o9RfuVPTCjgD0vEns9a61vPQs2eD1koIQ9iaCWPcalhD2JjYg9ZxN+PRiyWj02f0w9QyVWPVFOfz3PMYA9gZCBPe0Miz2hF4g9PaGAPf8qdj1PMkg945ZjPZaZeT0uRmo9muhRPbo6Qz2XMEw9koNhPWSXcj2DX3U9G4+CPUnTiT0hCYg9Mcx6PZRhgD3lSIM9f5SEPZZiYT2UB2c923BtPYosaz0OPmQ9ENY0PfdVNz13OjY9Gq8/PXiGRD2Jwlg9JJNdPbEcUj32QVg9llhGPa4MTT0dtj89KNAzPTwqOT35QjU9hDU1PfvhPD0SwkM9Wb5FPaCLRT3k8kU9DIJDPRLtTD1EJE49/Ew8PV1OTz0nkkg9U7c2PV1aMD1geCw9qAkxPagVQz2bBk09i3kkPS0Z3zzYMQk9CcgdPbBpHj14nCo9I80XPbZXHj2DfCU9d+8lPRz0Hz2NDTM9JRhLPd3CYD2Ollk993sxPXZfEj0WZz09wumjPV/l3D0dzyQ+G0I4PgQjHD4cuRk+E/8kPlVAIz66Iig+PmtEPu24Mz5lUDw+9HhDPl2kPz4vY1w+5bxMPmBBLj6NKyQ+5o4gPrksHz5vchw+8n8qPkvUHj7wuyk+FPciPmT+Hj7mACw+fqgiPnLpJD5OBjc+ITIuPlrxRT6lXzc+9KQoPsteNj49qDk+dkAiPsuhEz6mZi0+KC0oPm/BOD4KKi8+xNMiPndOIT7wGCM+iggkPkQdEz78VQ4+/7ktPvgJIT42mBU+2McsPgzlMj6ITSg+af8zPiJbID7Njic+ALsdPks8Lz4TPDo+GEhBPtW7IT5/Ihc+LS43PiWdZT6FNxs+ztQlPndsND6jUzg+X+AmPg1SGD67LUI+rLdNPn2MNT5T3zw+0W01PmfgOz7YxjE+tfY4Pp2QMz4xVy0+bEIkPgIaKz7UgjQ+DXw2Pl52MD6u8ig+BaYuPudiMT7wITY+v2EsPmYdND7hbD4+uMc7PlOdNT4PXDw+C7sxPmxeMT75lSs+oZ4lPmD0NT4l/Ds+mfE5Pl0IKz6j+DU+2ipRPl4TSz5HaU0+Xi86Pp20MD7eSB8+clYoPnflLz6Yoy4+RulAPgURPT7BaUE+U2tDPpkLRD68HTs+sIE/PgqvMT6zbkM+0royPuQ3Lj6yxiI+k6UhPq61DD4smis+gjVXPmD/Tj7IFUA+6qI2Ph/pOj6evyc+EJwsPiNPOD7iOVM+Eko1Pvb8MT45Mws+2mnFPd/coz2Gx6I95D7DPZQ6Jj53NTI+SSU/PpNNPj4Ljis+Z58uPgrmPD6P9DY+V7goPoceGT4kdTk+zF03PoQEJj6kmis+BlArPskXNz582zg+HsRMPhOgQD4lVyo+DoQ4PnFFSj5obRY+uZstPsUoPz6Gg0I+Jc87PsSYRD4GpDE+EfIqPgzzRT59Sio+IzgXPsmdFz5AXio+z3glPuxaHT4qcRQ+9LUUPhStIz5xQzQ+dSFQPqOMRj70jVA+TGo2PqW4MT4FDkQ+buUnPj7WMD6ZozE+W0o6PkfQLT68Bzw++XxNPvBnOj4GoBc+u5EjPpYDIz6q1y8+vSklPv+bKj6sa2c+DXWKPj9JZz6nIz8+nuxXPowbTz7OuDw+6U0mPqKJMj5b3zY+uy85PgQtLT6o/CQ+wq0qPlavPD53hSA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/HbuPPX5aYj5D+6U+BSiRPm3Owj5wRVk+KjNBPrqeWT5btHA+lyeGPie7aj7BFz4+beEuPtMART7i4xU+ytMSPm2u8j1D8zA+/ZdcPp7ETD7z5T8+BA0oPi5uSj5hbik+uDcnPoSrIz6h2gw+7PlYPnUUOD5ANQU+QSA2Pgg3ET5zcRg+w7vlPYW/wD3B98U9tNPDPRKCjT6W9nI+B4ZPPrq4cj5piYo+t7WGPhN/Sz4htiQ+4nsuPgMpCz4w9P89t60JPuK8Gj5RfAo+5NPfPcsa6D01WOI942PVPXAC/z3cudU997EPPv51FT6HDx8+Vb0YPqYm6D1WHco918PfPWUEzD3nPqA9g0CRPS+emz3wbps9CLCJPVyohj15x4I9CHWEPbQmgD2puHs9gACDPe2Ghj2AbYg9UlGIPZRGiD1gHoE9H++CPYZthT2m7IE9+I+APa+bgz08MoE9HwVxPROZeT16s4s96FWNPUY1hT0E5Y09rFyXPeKclT3XN5I9IMh+PYZfhz2cgIk9h0d2PZ5NTz11cWs9BVKHPbUZiT3zfpc9JuCOPcYQjj0vFqk9KIyyPZFYlz3ToIk9rD+QPfb5iT3nMYs9pXuKPWxZkD2o25E9TMOVPc/+iT33h4I9RZBsPV/LdT24eIM9QceOPVB8jj3hmpg9vQSKPeNHeT1KOYA9AwtcPYvUVj2flmU9nylqPVjwij3/g409YZuIPchejz1fmIU9nRN4PXYLez1KIlk996VdPSULaT0S9FI9aA1VPaa9WT3JoG89k4d7PXV7fj210Hg99mV5PbK1dz3KyHI9mRmDPQoDgD0Ea3I9uGxrPTsqVj0Zmlg97/5dPcdlUz1FsVI9z4RIPT3dQj1RHUk9OhpCPeDDSD0RR0g9CU9EPTRwSz0qTFU9gwdQPVK5Qz29WTo9o245PQ+uLD0sFTE9LZQ5PU2WPj1CdEU98gZZPWcvUT2Rjjg9caw3PbZsPD2NDD09cWk7PSHOPz3k5Dk9ZdRFPXKeTD1plEo94f9sPaMoyz1pZgg+mz6CPb7aAT2zgRY9tEAmPZcGLD0OXCk9rPEcPauhEj0seBk9b2EiPTLSKD2y0yg9zJI5PflGOz2+UDA9doYZPTWfFz1biRQ9eD06PZXQgj3fBPg9PA9BPoGpND6O7Cc+C44dPmTOEz5EFRE+YGcfPsybID5gEy4+5y8jPsEhID44+S4+AGdFPqctLj5uLjs+bPAgPoV7GD71tyI+I4ArPlPfHT6m2DU+B25IPo6QST75qzM+XHggPv+7Gj5z3SQ+ttIePucjJz48MDw++oc7PtyDVj4dxzY+sU4jPpMYHz4YMBw+vwEnPol+Lj53wSo+9rAwPjM7Nz6ypyw+wQIYPpV7Gz7pSxc+kashPqxUIz5ukyk+HUAlPkAwOD5o0is+iH0zPs4qOD6eZjQ+83I2PpnrMT6coy8+aRkqPmvmGD4zZhg+3PFRPghJQT74axs+VyEqPjmmTT4PrHA+J/JDPuNTPT5Ueh4+5yUAPqDsED4U+SQ+Vik8PrMlLz7WEzU+txw2Ph10Nz5JNys+3WQ2PmRGOj6tPjQ+1VU0PjcENj69fCY+nBU1PtE2Nz6r2UQ+qgA4PuqYNj68yzM+4kwrPqlgNz5OuTg+pGs6PpXSLz6uxTU+srhHPlmKPT6FC0I++jpAPuLLNj4MTkQ+KYpCPsXuOT6fh0A+vO1KPiDeLz6ErDQ+k/g4PnALMj5YZi0+8g48Ps0tTD69Xkk+Lus3PsHnMD5yEDI+FSgvPqHgMz7w4jc+uX41PtLMHz6tjzA+t0QoPjyhNT7dBhw+IbxIPjeIVT539U8+wBklPl88ID7ZeTM+E/wePv9uLT4VHj4+YjAZPl+DGT68DhI+sz0FPreA7T1zKiE+dvEmPsyIPj4Xz00+CQI0PjQJOT4dpDs+UrEpPlkrIz4H4iM+IdwuPgDYHT5aKwc+uakdPs5kJD4VXyc+VuopPqMeIj6I+D4+69syPrnZEz7b8B0+iQgsPgZtPD4jNzQ+v90UPgs/Nj6LnTg+7hUcPuwLHj4n3iY+j3RHPvDNPD5nWUA+Lj8hPlcgFT4RoxQ+HZERPmvaKD5++h4+RnsnPoD7Kj7PK0M+JiEvPqAfMj731zU+zEwoPtcpQD7PKjo+fTYnPjdjMT49QzY+bk86PrLvMD4UYSw+RElMPnooOj62Bg4+sQwiPi+PQD4NoD0+2LEvPihhLj5o/Tg+VLNBPkSzQD4KBjM+EmBbPoEpRT7mgEo+autGPp5MOz4GXEI+JEg+PkgFMj4nOyw+/80cPiZEPD4OrUw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/ckIbPUFzDz2Eid88MxPuPB+8BT3peQM9Hp0bPQGFIj10WAw9/1r6PM2l+zzF0DI98rk9PZMXMz0ANUE93C9PPRMHTT2gImA9ITFFPZSVLz2f2lQ9lythPaYUWj1kd289RkdJPYyGdD1uLJU9UQhbPcxrTD2IPWE9Ft+QPe8brT25dp09b2mKPdklkD378Xw9speSPeCBqD29A44902N6PXMohj0MD3k9Qo91PTp6kD0jFHM9NpxoPc1cdT2E0Ik95bObPRc/rD1JPaU9FsqqPX/KrT25ZaI9ub+tPZk5wD0Iotw90vcJPr6PHz7c3DU+/TkXPrqXAj405ws+qqoPPtrACD6tBM09hW3KPekM0z2KQew9jw6yPWCRGz5l3ko+bO0yPmv8Yz6anAw+2J8FPv0rET57ASA+I6guPkQ4GT6xXQE+zev1Pb3kAj4AjNo9DyvaPf71vj14zfc9kbMSPjen+z078eo9UbrfPbS6Bj60Luo9oenXPURf1z3Zrsk9OyT/PZ1W5j04uso9Ea7zPegZ4D0lteE9MzG0PfMBnj3dd6E9nfqmPXoD0z2X5No9i/LSPd3RzD2Po9I908vLPXfFwD2QarE920i4Pf+ltT2sUqU9wwyjPQDmnT3cGpY9TmmXPTHNnT28daQ9QZaXPfh3qT2PZqs93gGjPXXYmz1w1KY9S9CYPZS4jD2DMoE96OVvPZfacD0Mu349bBCLPWPKoz09wbE9euibPf7kij3xz5A9eXWPPcLWhD0cYoA9zIKHPWxDjT2Ez4g9A62DPTcmdT1Mf3E9BCZsPfPLbT1TAXI9YOSBPfZgiz2Y5I49WjKLPVCjiD1bsYs9rtmPPfHVkj13HJI90ESIPYk/hD0iYHA9hspsPf2wYD0WA1I9fwRhPVUDfz2KLoc93H6IPWOylj2jdow9TSuNPTZ0nT37iJ49dpWRPRW4ej1H14g9o1SRPf3hmj09FqU9vMOXPWtrgz0CNWs96MFvPTH1fD2DzoY9BNOBPenFez0BIo89C6OTPWtPhj0kF4I9KXFpPWNJbT3MgWA9eiBpPccUbT2PGoI9IIaEPVC2hj0fn4U9U76LPcqJfj1VS3o9EoRYPUYjWz12WXQ9jgdtPf0Paz0otXE9KkpmPbE5eT0KpH89cBt1PUdqaz0GjmE9xv5bPQoNcD3pW4A9dAKKPZ2ogj2dHG89whxlPQrkYD1u5UI97xxHPXT5Rz2pPTw9D/U+PfS9QD0GdkE9dh5APe1kSj1SJEM9nB5CPTkVUj0vK1A9Kv8/PZjuPD3JfkA9dQwyPb4SPD2BAz49fpNIPZOcVD1NPFM9BuhJPYDUPT3N7Ck9vaI1PUuDPj0VhEg9XedDPRVlOz0d70I93ZRIPWy3Nj1C+TM9dRNKPf29oj0jvrw9LuBpPWkfNT1pey49GWAtPUSpMT1U2Cw9aJMnPWEVGz2fFCw9XyoyPa6iLz0s/Cc9OzcmPaQmIT3pVRc9V/MVPTViHD19Fws9QHAQPYnXOz0uiH49sIFVPifQbT5Kmhs+OxcWPh+WDz4BahI+u5gkPkdvHz6J+C0+AQQlPgm5JD7Zryg+QQUjPuDGZz7uNG4+VtAyPgfDJD5D4yM+GycwPm0eRD4bV1A+PONmPlFNXT6UHjo+W+kvPsegLT7a5SQ+aoUkPuOdIz4OEE8+tgqYPpnBYT6xIzQ+tH4jPpM+Ij6dCh8+MokwPig5Ij5kFxo+FdA0ProyLj7pkig+nPEuPiHSNT4Vsis+2W04PshcMD68Ois++LY2PsQmMT6V0EA+DJ5dPlHnSz4DYDY+ze4sPrYgJT4qRzw+VwJEPhZFKz7dkTQ+73FFPjWyHj7RqEo+RJknPntuHz7zoVA+St1bPnrXOT5Bg5c9oMxzPfb6Az6NVzE+0DMgPhZpLT4MBUU+8Qc4PjMsJz4G+h0+iW01Pg71PT6X+TQ+QUc1Pgm8OT64jzs+99E1PhdAOD6x4DA+Y+M6PjBiOz6aQjc+IpUzPqIPOT7BRzM+S/o4PrqLPT6vazc+6PY9PnClSz4+MlE+oro6PpSwQD7qLT0+YUw4PqQwVD6g9VY+W/g/PlimND6OTiw+3eg8Ppf5Oz70Szg+TIU9PvA6TD4JLT0+Nu05PoDqQD7qUkM+v1o7Pip8Pj77rzE+k/8nPpxxHz4ZDRE+zMwqPkRhVz5sCjI+zr5DPrKmVD4XlTo+WO4QPuiVBT4HAC8+QkEfPtwEID5dRhA+wjQWPs3/AD4nlwU+ZYAHPuiN+z2t8+Y9QwkGPuzHQD6oBEw+EfIcPlmYET5+v0Q+uBs0PozMGD67kEw+0ZFNPvxgKD5YnB4+S8o3PjB9QT56oC0+0hQjPvlzUD6BrEI+8x4jPmnfIT5mdCA+3FMcPtBEMz6dqD4+tM0/PmYfMj4MAjM+v2EiPu0dSD6c1jA+RC88PldNOj5aMDM+NNYmPiSxJj6VZCg+6YAmPusJLT7jUxs+7js1PuwCOD4cTyQ+dI5APhFnOz7Cejc+bksjPmGLLD4biTE+/d4wPrI5LD68xBc+urksPqdtOD4Oezc+B6s/PjLvMz4w5Ck+v2w2PssbNz6+dkM+uiwaPnJ+FD7/iFA+N3BCPnA+Hj7cnCo+IlE9Pgl9QT5xpWw+225BPqJsOj4JxEE+PjU6PnPAND4VU00+RvcrPhMvRD77f64+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/x3ZFPj3RGD5Fk8o9QHbbPcuRwj0qRqs9KGGBPcJBWT2T+4I91rqUPUBVjD2q8Ig9Ad15PYh5Yj0/glM9iUlNPbJpYD32lmo92hKmPRo4jz2snoQ9zLM+PRZAWD0EijY9/vpTPVkhaj0ZEUc9/sk2PQSSMD18Sh09jKEXPShLDT3ojfA8yf1ePUSbZj2NMIc9iBt+Pa1HVj3BZkc9ZqxEPeOHTj1m2iQ9O78rPSd1JD1ZuyU98tMxPX+aKD3Fy/c8/aj1PERyLT3TLzc9E200PW6UOz0Diwk9Ah8PPcJ8Az3wYOc8qzoOPe15Az2tcw49TaMRPfSzDj36AwI9r6PaPPzYAj1+QgI9OgsKPdgbAz1/ztM8tPrYPDp35zyvauI8VGr/POJ4DD3vZwE98WoDPf5PDj02oiU9dgkkPSfQKj0hrTQ9rTJIPSt+QT3pD0U90oRNPSnKTj0MVVk9IHRcPVcpRj048089wxNKPfCzXj0TG3I93fdLPRErWD02hmM9y4CKPVWOrz1YuY09PlVtPXDTcz3NPn89uzaGPY7RkD30jok9UoV8PWUMfz3S5Hs9fyVwPQ4DeT0MtX09BxVzPbT2dz1iV4Q93T2MPbHJkT3U55Q9IQCqPf6gpj1r5JU9wpSuPZEdxD2HBLI9bHyvPfacvj3fYLs9qzHHPVTEvD1dn7g979G4PVe5qD3PZJs9vBywPQZ4xj3nRs49uiGpPWRZlz29s5g99qWWPUP7iz3jAJI9U5WXPekkoT3Onqw9+KKtPRcXoj36c5k91WyVPVAHkT0yypI9vJiYPbx7mj2zGok9jaiSPbPlkD1CIYs9BMKUPfuTqD2OWqw9VMOUPamIiz2n7pc9q6mbPecjnT1vmqw9lOm1PQxdwD1JDL893lWcPWjtlz3BX5o9R4OcPRYrqD2WFKE9frahPTOmqz3gpbI92eGtPbuamj3J65Q9unmVPVHSlT3uaoo96KiaPUZ8kD1RiY89T/idPcGImj2ac5E9XWeKPfozkz2SEZc9RyabPY2akz0Zm5c9jHiIPTsJhD1He209X8mDPbh1iT1yCYg9ptqYPcMlqz0SXbE96qW2PdJjoj2JjZI9DKuOPRaFhD1PGHg9hbKKPVZViz3aLZE9sRSHPYiIhj0AN3I9yTNkPaj4cj2hfoo97n6MPTIVjz36VYo9jX6APWbohj2d/4o9wFCbPZP5mT2ktoA9m7BxPd9vaD0w7Ws9NuhyPblQgz3UA4E9aHmBPTBOij3o5Iw9G7SOPUuvlz1D5IU9GAGGPayZjT1Cd4Q9Wat4PY01cz2OwnQ9Zf2BPU1niz3Xmos9EMxyPdqGYT2EI2A9HFdpPYQuiT1N8409dguRPUt5iD3RVXI9GRBrPf2saz2TGGo9doF7PYqziD3BFI49AviMPZ46iz1iTYw9j16KPYCadj09fnI9EjaIPQ/3YT0W1Fo9Mn5wPfepgT2pCH09OCNWPRrzSj1ty2A9fGlpPWodcz14RnA9Db5dPQCTXT2+6HE9egGFPS0AhT0rvnI9f1hkPUGgTz1xMlI9IfVBPcZOTD2760I9B/FBPYmCVT0fvFM9gjdQPYd+UT0MUVI9l0lgPQzQYT0vUU09p9xFPRWtSD3nxTY9KWs7PU9DRD1ZhEQ96WI7PdMdPz0MDzs907s5PSfwJD0C0CA97AgxPXawQD2UqTI9Fa42PdmiOz0G10Y9RVQ7PQrxOT3UYTw9IxNCPdYLOz0xMkk9GntQPfaOSz21ojk9eVs2PepEQD2OvUM9m2Y1PVToMj0+aCM9tTQqPaQzLz2razA9WiNbPSNKRD1Mmh49I/0vPWlbNz26zyw9boorPYtLRD1tSiE9pr03PQEAVj3hrm89gGM+PuaiOj5Kmh4+j5MbPlFuFz6OuxQ+sJwjPuCsJz6JVy0+MswnPpwAKj4t6Sw+YpYjPlQcWj5vAEw+rOQ9Pt4yMT7mGC4+pMFhPvCwgj6HYmA+ydRzPs7nNj59ayg+4MpCPheZMD6s4C0+lTUuPgIHIj7l8EA+cZSBPv5ogz76UEM+hZsdPqm0Ij5GkSg+hXo9PppzRD4VODY+PqovPiNaFz74kSA+KnU6Pv3NNz7AGys+YjIsPhEXKj5GoC8+fDQnPn4wHD79PiY+57pLPhhpQz4qwxs+lDUSPs14NT56Uzs+EDwrPk8CLT6NGyY+mZEoPmb9Lz5AGyY+96cVPpvxFj5DHT4+kgIsPvT6KD7soU4+NPAuPu3dHT6d7Qo+wcYTPs/gLz6sZ2A+HxMzPqYQKD5JiCg+rh4rPitBIT5Fcys+ufEuPpsFOD6l9T8+MLRRPoWxSD5blkA+dTMxPlQDMz6hbDg+/eozPh4oOD5a0i8++roqPtSXMj47Wz4+PuVKPrBwSj5gkD4+oxwtPkiaLj5/EDQ+fLMuPp6GMD4gCz8+zwA0PjqZVj7Fm0c+2hU2PnWbLj72IyY+kgcpPjewKD4eKCw+tbkrPkvXKj400yc+SrosPlitQj56Zl8+FUpHPs2QKT7pxSs+ejYdPqEWLj5rMTw+5NdMPlCoPD4m+jE+TPA1PicIJT7BKTg+Kh8rPkWWID6FdDI+WXcdPjVS7j3AUxQ+njkaPk4XBz6mvcA9doiiPTETEj5Y4zs+IQ42PgsoMT46wzw+nDM4PrRCQT4ZAE0+ou1JPnuNNT4Y1SM+duxBPi0IMT5ifyw+vFQwPqxEQj6nojU+Uhc0Ps9sRT72pUg+fk1QPtpFRj4wLUg+RHE4PpnLLj4mPVE+M1YoPjagFz60vxo+PNJgPosaTj7QGDo+Qd0pPugsKD7/8y0+S3gxPrU3Nz5SXyU+sdwdPn02Mz6sDDI+/H8xPsI6Qj5phDY+iMMvPm5NLz6zfjg+wnszPm6+Jj5QxhQ+VFEjPhcrMD7VMzQ+m3w0PvVoOj5qsi8+jTc0PvGlNT7key4+gwgnPuUqIz5+0kk+pM9OPieaNT57JzE+lagwPnK8OD5oKzc+uqE8PtIkST7hbUo+NGVEPn3gNT4CazU+k+MhPv2aDD6dhDs+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8Qjik+fB4sPkwjJz5Veho+530IPqhSBT5HySE+jJQdPiD9Cj6Qve896WvsPcoo4j2NsLU94rvQPcQ27T1YlBU+rmEPPpn7Fz7rvBg+vin0PYpi4D0NQ9Y9gzXOPbjE0z1indI9eKS8PdNGoj0/k509VuqSPdq/hj2HAvA9704DPnfADz5CngY+cK/BPbqz2D0m7sM9rKTPPXJ90T3p3qE9NcugPTZUnD2/rHw9xY16PSULij25xK09K5jUPdUppT0YQbs9CqrBPRc3pT0IrKg9HB2yPfdvpD3MZHI9VIRXPQNJVz0kfnM94Fg/PdWERz2MsrA9rqGaPaRBkD0THso9sXyrPaLmjj13mIc9AgN0PdCYbz0eY2Q9XJZ+PfDgjj2xinU956lWPRXbXz11W2U9bcyNPQM6jz0uc509ZuuQPTgzfD3t5D49RlpPPWeIhT3kBnA9C7hgPRFZTD17WFU9EjdXPaTIPT0JVlQ9dXmKPQGojT1bCoI9xs2EPZKxXT3LzVM97247PdIvKj0pbTU9saM5PaJmOj3bSDU9RwpEPdLxQD0Gj0c9k/A0PSm4Iz2g6yc9Zpo2PeBEGz14ZRM9GQAJPYPlCT3scwo9Z8cTPZOzGz31nws9dWsTPVVnDz2y2Qc9JuT8PJGv3DxMxME8Lnz2PENA9zw4z9g8s3TcPCDN4TyxPQU9EdL9PGTT1TwN29w8ZST3PJ8q6DzMEOA8TuLYPOtr4Dw14Ng8LVzNPAw90Dwfv9E8NnjNPFaq1zwr9sk8EUHPPIH14DyPltE8n+fZPPaz/zyLrgM9vZ7SPBJWwjz7Ycg8vebXPE/y3Dy53Pg8ghf6PAl/8Dyu4Ms8IHvQPNy26jyMnvA8zWoHPTMt8Twp+eo8IHYHPRNgEz1BSQ89tRgSPcCAFz21mzo9eSNLPfMuNz31IzE9mxQ4PckkOz0K2Tw9Qzk/PYeaQT2s30U9P9VEPaF5VD2lPmw9VudsPUeobT0HxH49Q59+PWZmZT3XqWY9tAV2PbO8gT0QJ3U9taOGPWPMiz2pVoU9UttwPX7faD1QoXk9P62HPcVvdD18tIA9ejB8Pbj3gj3/c3k9SU6DPTvxhz0tB409kqGZPQRLpj0O5Ik9gPqMPZdDqT2yO609tUecPSp1oz2Yg6Y9NUqyPWc+tz0SN709Pku+Pb07pj36tJY9Ku+uPRETuD2RUa49M82jPZM8qT1Zi7E92aGyPabSnz0HLpg9ml6kPYdLpz1BwZs9+9+fPWIMlT37F509NaCYPTagkT0yYZw9TSyUPTlpiT1rY4I9Vzd9Pd7Sfj1hU4Q95PSJPWF0kz3gCpw9782aPdshkz3TUaE9Idq4Pdsfqj10S689Tnq5Pe9TuD3WWa89w+OXPVVhkD15AJ497JCjPUYfrj1Dr649bJenPYjtpT2PLKE9p2CmPTr1pz0rlJw9RQqbPXQXkz1Ym489BHmWPbIqkj0rhZk96lWXPet7pj3InKE9LpaePaHipD06Ep49RimqPSsJrD3usas9PEOaPav1kj3bDJo9oPmnPSX7pT3ZN589tVurPWR7qj18K6I9K4ijPQMCkz0PQIQ93ZuFPX7RiT0KKos9IESTPSkVoD1lRJg92fegPYozkz0+t3M9xxR+Pa9xhT0PKIY9Gul+PT71gz0GMZE9noaYPTCclj30X6o9eqyyPRb2pD2KFn09Ptx/PecdiT1EWII9IDOCPeJEhD0yiIU9YiGKPRa0gz1bM4Y9McGOPZ0JiT15LIY9x6SDPQvrgD387XQ9Smh3PdThgz2hA389n317PUPLiz1IbZo9RHmUPf4ziD20S309kSSAPWsrij1Rho09xiGGPUw8bz383289NON+PWCKgj2Ws4k9xTWYPWhPmT0/9Zc9H9KkPTKRpD3jRZU9IoGCPff6fD3GlX89VfxjPXMWWD1h0GM9VmxfPTggYD38ZFw9DxVgPXnqcj3vSoU9hB6LPbk8iz1d2IE9lvF2PQ7igD2zboQ9mgOIPQJBfz1xcWA9IKNKPdLXVD1wHFg9lD1NPfjQTz1/4Ec9XsNaPaefXj1Tv1U9n2NqPbUVdT2YsF89TnlYPWwlRT3xjT493s1OPRYlXj0dFWA9J8RRPR/GTT33H0M9l/40PXwALD0fuyU9M8AgPaN2KT3eqyE9p/MlPZ/aNT0hSTw9hvU1PSCRNj3L0jo94G1GPUV6Rz2XcUA9FdNDPSEETD2wLEk9I9lRPVLRSz1qBTc9mywyPer/Kz3pKSI9IcgnPaOaLD2AoyQ93mAhPdwNIz2N8SY9aTkxPf71Mz3y7C09yEBTPVZLZT0u5j09gfo3PW9vOT0cnxg9CQ4XPXv+Sj27U509t4kpPjLiED5DlyI+Z1ocPl2LGT4FXho+LOMaPh4DJz6t9zw+Zd1gPu2FZD4DKm0+axQ8PgAZJT6HES4+jYM8PsrtKT6uIWA+5yxxPrKzQz7rRx8++6AmPu0VMT5+OzA+qkwxPv89HD48Ox8+8uUTPh1FKT6BxYY+hfqTPmoQgz62r2E+Xac+PvyBLD6XoiA+S6JSPl1Hdz6xDn4+nwI4Pt5sKT4NsyQ+MWEuPoKiNj4zQS0+6FEdPhLzJj7L2ys+AQslPkW2JT6C+iU+mZMrPvF9GD621gA+SDAgPg0eOj6u+jM+Tt8yPiaSMz4TpSQ+JWEqPpFgHz7usyY+Go0SPuqCKj57SzQ+F7s5PvAvKz7iPU0+q+pHPmxnMj6lCRY+DacVPgVhIj7DCGk+LupKPs9DHz4OzSI+QukiPnuYHT5H4CU+87EsPkKZJT64JyU+SMM4PiFbST6O9zs+edkxPkFWGz4kATA+QHg9Pop3Pz5F2y4+2hs4PvthOT4/ijo+Wb0zPvz+Kz7H5Dk+BDgyPvFpMz69li0+VZIoPtWeND63ETE+n9MqPgeiSz4zTjg+LdFDPgR1SD7f4Cc+fTccPkLUJD5szB8+4SosPkCmKz6PXik+1J81PsmxND7DNTA+jKQwPmskVT7H3lI+bypAPqH1Kj7JFiQ+HTlHPmJbRD4kNTM+fbhCPp+HJD6v4TY+ckInPgkaHT5DOjE+qzQePgQTAT7XGR8+L5A1Pv6CXj5pSyo+AqodPo7ULT5dgTc+tV8lPj7RND5x9Tc+WnE6Pp3+Rj4KRi4+SnkbPhOLIz4KtCE+td0tPgjYHT5oEiU+W5QoPgKoND4XKxg+QWsiPjVjLD5wUC8+mJZoPlEjfj6qaW0+6whsPi/uND5dAFM+aRhDPk3VBT4tLB4+Wx00PvUEUz7Fqzk+ABkmPgvfKD5GfSw+A3cqPtZqKz5yzjI+eQsuPrKnJj58Kz0+RKk+PtICPT7ADzA+nZYwPjXNPD6B+0E+OCImPrUDHD7Bnh8+ZGUlPhx2Iz5cVCg+7fs0PuSPIj4i5hw+KoszPvCNNz4Opyk+qoMKPjfiIz5AflM+i4I5Pva1Kz7XwyQ+dv0zPjP6NT5dODM+srk5PraFST4vqWM+UMpXPpxrUT7lsj8+u4s0PtqcNz694UI+djipPVSm0D2tsfc9jlsDPrLZGz7CzRo+QicAPlaVAj4UcQE+SuLyPUNL0z2kda49fsmzPZNwrT0nH7o95B+pPe2phD2814w9aaSZPeV3iD3GQ6Q9bdm+PQqftz3HgKI9riasPfx0oj3Lsfc9HGQDPjcUAj52Muc9jovaPd9f3T1AK/w96xf9PUlk5D1sYcY9VXLLPbenzT2HqK09axm4PbVxwz3fidg93AHYPb/k2z01Mts9+uW3Pfe5vD3tesE9M82zPenEtz0vyaw98QOiPdtrmD0KgZg9pSWQPSilhz0pLpI9RPSPPRVnkz1JNpY9/M2LPULnkz37/4Y9TWCDPQS9jT1kwns9HBJ3PdqPZj1OE089+r5pPXoxZz2dwWY9C3yEPUgRbj1ToXI9e5lzPYAVez37PoU92jZ9PetDVT0eo1M9DpBLPVDZRD3FMkI97V4vPUqMKj0+ijQ9vUYvPT1GID0W8SI9SLg4PVZ1Pj3Vmjc9crUsPa0+NT2n9kc9xL5CPfebTj1vLFM92PxVPRDRaz1M9mw9bQZHPRU0Pz25QVs9fuhhPYMOUj2F80Q9hZo+Pb6IQD0/REA9vURNPexfTj1sE1k9dkw+PZ1zLD3c0CM9sh4zPWtxRj3L8jw9Mho/PZJcQT3nKzQ98gQxPbAsPz2uPzc97+VGPYeJQj13nzw9NkBBPVFNOD0d0ks9oMUYPf5AEz3HfhQ9fzsePa0vJz0NvhQ99m0fPa0ZGT38+AY9uZkGPRZr/DzFHQQ9aw4IPWEMDD1OgwI97RgHPdcfBD1fUMo8vnX8PEksBD33B+U8irPwPKN15Dwmsek8D1X8PEgi3jzbYdw8GkPFPI3m2jxWTfg8cbUAPfRkyjxU8/o8AtbsPFhp7zz8vd48X1jlPPSr+jzNLdM8lH6/PL3UxDyLZrs8DirIPI6PvTyDysQ8TlPiPBhr2zxSadY8dFbrPBRg5Txxa+48a5zfPD/uwjxrrNM8Enn8PEYO/Dy3nvQ87njhPC5f5Dz0Iuo8k30BPRshDT24WwQ9wbcLPToWDD15+Bw9KHQrPcBcJD2zWD095jJLPdJ3LT14KBs95cAoPStVHj05GSo9xo5JPctBZz0UjXg9KaVrPVaNcz00amc9doZMPWzkZj1Zv4c9ORWHPecGhz2pjoI9lBGCPTQWej2DSXI9m45fPaf7dD01Fnc9p3lwPcricj1D9nQ9m+ptPTQecz2VUXs9ftWGPYqvhz0CvIg96t6GPboclz2xZ5c9hcGMPe9zjz0KtJg9wcqcPau4mT3D2KI96zGpPbgurT3vBaM9zSSgPdVxnz2Q9qk90KC/PcHbvj2bbbg97b+6PUchxj3fyss9vvC6PUzLpT0qK6s9dQuwPZhhmz3IDY493GWVPXxUnj1Yh5Q9/KCHPSIzhj39go092BCSPUiUij1dW4Y9bc59PdH+fD18moc9dz2NPQAZmT2i+p89bfShPfSpnj3I/po9kK2uPTIlrj3gcbE9NNOuPcDSrz3YSK89BkyiPRTzmj0At589wLKxPeyHqT0QqKQ9sTqmPSrcnj2du5Q94d+RPardjz08gZU9DGOXPWGRhz2vhII9WWWPPffJmT1sJZk95rykPfD6rD3Hlag9D/KWPdTQnT3bZaM90n2lPZIfmz3BM549AdKYPXBgmz293p09VlOfPRi7kz0nZZs9U9OlPbYrnT1RD589uDKPPW0lhz0sKY09ziSHPdy5hT2LoIk9Z2mSPT45lT0+fqg9FOinPYpGnD1BYZY9sOaOPRJzgz0mgYE9U7Z7PeBCiD2NQJY9WKiEPf3ygD09j3s9FoqVPa6QiT2IWXs9kL+IPUx2hz2HhYE9YRiGPe8VgT11KmI9kSxnPeMrgD2nyIo93H2LPXi/ij15HHY9zx5vPXzzdj3DtIY9MRuUPQ55jD2Q/YQ9XX6KPW5rnT1qh5M9lgiIPZb2kD12coc9qKyCPd23bz18W149dshlPdYfbj17yYU9ua6TPffBlD1VMJY9LleuPT0YyD1EdKo9aIedPfahmT3KUY49wHZ+Pcv5dT3pOHA9qWZvPUhUaT34i2w9sjZtPc0Eaz0j0nA925+FPYmEiD2PCYY9dLCJPVW7gj3kxn49QNBxPT6rez1xJGo9tMNgPTk/VT2FQWE9V/tcPUWBTD08gj494ctKPdSLVz3qOVc9ADRuPaf7ZT3DVGs971VlPanvYT1AXU49D3M1PcimJD2BBzI982ZUPc/eVj3dD1w9KVRmPRQvVj1B4DM97lwuPQePOT387zE9xAEfPSh2Iz20YyY9xTEqPWXxMj3IUUA9mFxGPU8fUj285Us9fsJRPRTkRj2Kvk09dGFBPc1HMD2SzT89bi5LPed9TD17jVQ9Xe01PTFlKz06bSI9Tl8UPR91FT0Gpxk9dEkePU2lHD1BFC89trgwPRIaMD3wZzs9coo4PSpQUD1TEF497GBbPeL9ZT1D6VQ9Wm02PYr0dj05res9k0MgPhFJFz5UcB0+tSQUPhkhFT4tiRk+yk0kPtV3Kj5/BEc+g8FyPuCBaj5drFQ+bY48PujjMz6EKi8+nwMePkILHj5l/ig+koguPi9uLT5aJyM+31MbPnmyDT4ERQU+vtYVPty6Ij7dciM+Ea4nPtB0NT6aAYU+ZvCKPvQRRD4GGUc+FigsPt4/Ij6yPDE+WB49PnZ+cz6wQVM+GCIwPtzMND4dlEQ+COs9Ph//Lj6CGSI+vugoPlxLKT6mSio+DBs2Psi3OD4znCY+QgY+Po+ZID5FnhA+nFw0Prt+Lz4d8x0+JXM7PvcpRD6ZVDI+yCUyPqbELT6nJD8+SOEzPsWMOz41gjc+gz8jPsjGHz5Azig+cEYkPm8hLj5AVyo+QogjPgDGKz5x3z4+FC9APpbxQz7y8zA+75AiPlDAAz6T3FU+XJg/PmzlID5oXyY+N6c3Pk0xQD5fUDg+wd0wPvYTGz6tvxo+HHw3PifQUz5v7UI+xQ9NPh7jUT6oDjs+cDcxPo3nQz6hFDc+OOU1PiP5Qj7FaD4+ypkrPqzwKT6Mnyo+T6ExPvDcQz7yVjg+RypOPucVRz7yjjY+3w8lPsdPMT6nxCY+czAhPkuYKT6nmC0+eCFEPmjCUj4QjTg+mrQwPrOwMT7t8C0+JvBDPmXqPj5hhzA+VXc4PqyMRj512C0+joM6PlRJKD4NLjg+H/cpPtFINT4sPis+Sj1QPmyPLT7ojC0+ukc8Pvj+MD4K/CM+RxsxPh+OLD4l0CU+DI8XPiY0Oz7Y+S8+74w0PuUERD5rODU+cToxPiOBMz7HGS4+NRApPgdpHD6vfBQ+pPITPkjGNz5JxCk+CLgjPiJ6IT7wuBQ+BotsPqdccj4nJkY+CThTPpKwOz4qakY+U3hCPokpHj5ZQCg+pjwxPnUaOj7fyDM+/x4tPm0uKT6iMzA+n5cmPiN4JD6bLUE+EedQPgb9Kz6psTc+2thNPowNVj7NF0E+KHlBPkPaQj6fCzo+TdA6PjMrOz5Z/kY+QdU/PofuJj7TXyc+BCg1Pu5OIT40ljA+D3UrPm1yJT5NvR0++fkYPlzVFT6VMyc+5dxEPq8SKT45czY+sNMrPiMjOD6RYUE+DnMzPlxmJT7LwDw+KGJYPg6cRT7SmVA+qDY6PtrkIj6cHS8+8CKyPS8osj0X97g9ASLWPc3M3T33QOI9l3zSPbYc1D3w6MQ9QnymPS4ehD0/k4E9k+2IPeT1hz3uYJA9mFSMPdEFiz1Kuo89e8aBPSTuej2OTIw9PqGZPaIqjT2Uq4I9h/iLPdjwjz3ppqA9KCurPapErz3HMZ89UEqjPWXOoD1GdK09DROoPbyUmj2ChZo94/2oPVx/sj22GLM9T1q8PbZuuT2VI6U9Y2mWPflamT0KIKg9whGtPZQ0pz16WbI9MGmkPfqtsD23Das9hzqePdRYpT0syZs943aVPQxPjz0+nIo9pFxsPfuDWD1/el89CV1rPRoTgT2ox389qz51PVuzfz2p42U9i5ZiPcmVVj3B2Vs9Li1oPQXjZD1KaFk9SP5VPQw7XD0R4ow9y6CGPbCJbj0y6H09BT59PWNgaz2p6HA9i7pwPZkCXT1aI0c9Qh9CPU5wRD2/Jk49TkJUPYRiTT3m2FM9OgBMPVXdQz3J4Dc9nsMwPVmtQz0ydFI9cTBVPeOnXj1DIU09lp1dPfDAYD2RX0w9uAlJPdnoPT2L2kg9MMpbPcZQdT0v/2g9ZrdkPfsyRj1eWlQ96ziAPe6odz0ERFE9ZBVCPYOkMj0oqDU9lQlIPfIrUj3Jn1U9hnVXPQUWUT3agS492PY6PabOPj1IvDA9QlY+PRQjNj0R7CY9BFUzPfjgLj1woy09E/kyPYAAJT0jihw9jAEkPSp4Hz3XWyM9PTwhPRBcEz3Pcgg91Ur2PFgb9zykMws96k/7PDuy/DyfmAI9KXv9PKDc9DyEF+I8DfnCPBc3+Dz5iQA980MBPXJo6zwGauk8ij7sPPMN9zxhb+U8nZ/LPNj42zzlivk8GFgEPbBKyzyKK9A87u/VPON55DzMuc88bUnYPEOmAT1OPOY8JxC2PP+ctDypALA8qkPJPLxjxTxRvcM8WBTHPCg/wDx9CMM8EPPVPB5T4Tym+ec8YjTkPFQpzzyZDew8r4ABPbd77DxlStc8o+jvPKcmBT0HNPk82gHnPGhtBj27CAA9vk4BPTSmAD1ZFAY9rXYMPYSsFj1T1B89pkQgPR/eDD3JZAk9SmEOPfDQFT2N7Dg9ZORXPXt1Xz0Gn3Y9M/9rPTVHYT0TF2U9f/tbPbWlcj353YI9Fp97PRKHbD34mG09HYdkPQ0+VT3KQ0w9GqRPPYowYD1FY3A96DVePSiuWT1IK1k9E3FkPd8xbj3zg3c9f3eBPfImhz3Td4w9vIaCPdUDhT1aF4894SaFPRg+fT0Z94I9KBKFPUY8nT3b2aE9bNaqPap/sT25tLQ9zRy2PTmcuT1libs9bxGsPZsurz0eq7Q9KMm8Pavjyj1flcs9JDnBPatgvj30f689x3GiPYkwlT1OoZI99C+VPX+glj3NyZY9ZfSLPcSJhj3kUZI9UiSNPUHdhT0C6Yg95Y9/PUilfT3e7oU9eJ2CPSWEjT3toak9O92qPQ/Pqj0u6qc94li3PSPjpj1W4bc9BbS0PfXVrj1ykLE9rjipPXE+tj0qbbk9xFuzPUa5pz1/bqs9YoG0PdO3oT1LTJI9dKCdPVwwlT2rGpM9WbygPUYfmj2yPIU9oJKKPe5Mlz2IUZc9B0+SPXoilD1NhJc9SqGfPZ2/nD25OZc9UeilPQG9pz05XKg94c6gPSSrlD2MIZQ9nbGKPW9+kz1a1po9IzCXPePLmT1AGJ09zVeUPX03mD3J7Js9+9KRPSnHhz1cW549aXmjPeDqjj23mJc9leubPbyQkT0WlYw9TsGBPW82gD27qXg9KB90PRTYfz15YI892OeEPX6riT0ii4E94U6LPTXljj3Sdog9NpyBPfLVfz1eaIM9bYSHPeXziD3iXos9fM+LPe1ijD3GXo49SGyOPbYMkD2oP4g92c2BPb2EkT23bY89EB6UPQjHjT07QHs9/KFrPWovaT2ttH49KgSFPYKLkD1XT5s90mWXPWjajj1JMoI9mPWCPXlJiz3jjJM9kJOXPdZXjz2XM5o9ljmePSLwpT2/ho8931eOPcU8jT01h4I9gj5xPZNRcT0jQng9BT2EPYg7gT2BcX494imCPYV9eT2sl3g9x5yDPb61gT1CrIU9ecaJPRjriD12c4A935WBPZU0fT0BrGE9A8dfPU0yWT1gpk099DhDPbrfRD1pFEY9neBVPaZsZT3bDm49je51PWuyZz1ILmM9MbQ/PV+uPz2YVjk92Wo4PcazPT1LATc9J588PdNwRz3jC0Y9KC42PUIRKz3w6zo9aVBPPVebTD24cDI92+MqPRKzLj1k5j89XZMwPTtTOj22DkI9jShBPVQMNT16lUg9g7Y/PWl6Lj1S/yc9vZEuPcMLMz0BVz09vERUPSiLTT0ycD49JzQuPeACGj1jhB09vvESPY16Dj1z+BY9+88iPTWDHj13hyI9XUg4PYe1QT0QG0Q9xyU/PU6cUz0IPFQ9wkNzPbdShT28SK09r/CqPV3UGj486y4+QPMiPheaLD7iBCw+BGIhPk95FT6BRBM+vQAmPncAKj6wais+fqk2Pv6ZID4zNTo+SEc3PtiOHT5X8iM+zswcPgLjIT5cuS8+0q0sPoQIJD7rqic+EXwPPmS9Cj5AVA4+c70HPvSsJj4XxEE+6n1APmxzMD48Wys+p1ozPlOhLj7MWTs+Q0QmPuzJJT6Qsio+3go0Pn2lVz5d42M+u7ZgPvwOWj5gikA+MFFePsV8hj4ha3s+jXkyPoSbOz4U40U+dEI1PtPWNj4I7yI+S2UlPuDoFD4YTjM+zKFXPir4Tj7VVxU+K2MwPrADPz5jX1Q+Cn5DPuDYHT7xZR8+R1QnPpo4KD7iny0+1AAkPuaVPz5AlDw+YdsWPoJoGj4J5Sg+ZqYtPuASJT7RgC0+cfYyPpwSNj7mbyU+eu8RPtQ3Gz6vgGM+dqw5PuMEGz6VPh0+ydouPmBhNT4r4DM+1d0oPrNTKz6NPyA+MQ4nPpAEKz6M1Ck+u5QvPhhAPj7bOjk+8ww2Pl5VQD4nazo+TmNCPv2zQj4AoDY+p0s3Pq0LMz5aHjQ+1vI2Pq85Lz4S7io+YoA7Pvf7Sz7uw0c+KR8wPiSyJz7DyiU+9IUoPoxsIT7C/Bc+cNMxPpzgMz730y4+EB87Pn+6MD6Bnx8+PzsvPqqDQT4jWjs+U60xPu/CMD50Fy0+7cs3Ps4wMz6tuzo+NxE6PijGTD7Ubyw+T/IqPha8Iz4Wokw+KNE6Pj7SLD7I4jM+W4E8PkFTMj5TYSg+8PErPoMONj5KZCw+t6wyPuDDNj4/1jg+N9BDPmorOT7b1CQ+w/03Put1IT7Qkyk+x/cxPhJtNT7QbzI+hVUnPrJ8Kj4rTS0+WaMpPkbSJT4LQy8+oQQ8Pry6Pj7WEUA+DtpRPu/0Kj7bCyM+z14gPgDxOz77lCY+gN8gPu1HHj7iRyc+GlsuPuFDJj4ufx4+8w82PkKiVz7YXEI+u2Y7PhfPRj6NpVc+loo5PhT+Tz7RLUg+HQd1Po1TSD73ozw+zOU9PvxUOj5I3j8+QpUwPuv4Jz72cCw+4+MnPj92Kj7AFyc+gW8fPoPJIj5Fuxc+U4oKPoHFDD6mwwI+qfkiPhxHVz4JXEM+wOkrPsR1MD7pXTA+KmI+PmA2HD6HIio+Y44uPgMwLT7HMzo+z+SgPQ7opD1PeqU9j8e2Pddqwz1a0s09bgPIPQlXvj0kcak9hgGXPS/wjz2a9389WRZzPRrQij1glo49RUGdPTZgjD37yYk9gOmMPSGejj1gBYk91/GFPQAZgz3GkZI9I0efPbv8pD1V+KM9DjiUPb5liT3jOZU953uQPViJiT2pL5I9Up+aPYtBmj0yTKs9XLmvPQa1qD3mBZo93mKaPUfWhj1e9I49jxmQPaobnT3j4K09wtC6PSc4tD3thao9OyuuPdaRpD1Tn5Y98nCdPW8cmz0nmJk9ammUPRYafT1bomk9ZExuPcklhz2BQXk9QIxvPZOjZz39N349LSlxPcEYdT2nQXw9SNV8Pb/jdD1CvFo99eZSPeZlVz39G1U99LtIPRTbYz3nQW49llVaPS9KYj1UxXQ9fdN/PbHicT2FTH49dG9oPajBVD2Td1Y95alOPZfyRz1y7Es9ZS14PdYPaD00t0w90DJHPQX6TT2tt2I93tBCPXEMRT0LSGs9BgSAPbtldD0eEVA9Wlk/PcRrNT17VzQ9gVA5PbVvPD0qU1Q9qhZnPXLDYj3wLkw9eb0tPSGFUT2U64A9Hjh5PZm+VD3Wy009Hf5pPeeOcj1SwGg9/I9mPZxnVj2cMlQ94nZPPSDaTz3CHzI9KGQ3PWo1Rj10rUM90Rw5PTeKLz15NkA9oEpDPbliOz37yyo92ugZPexoCz2cCQk9c9ALPT/XHD3pdQs9p+0EPRIcAD0PuQo9NhsSPRuzCz2nOwc9t+cHPezUBD1yfwQ9TaIFPegqBT0e7wQ9PNABPU738DzAGN88IzfRPA+p1DwmF+g8l0EBPQgeEz1zOvo8ajTlPKeC4jyuQt881ebXPKEIsTzh49s8kB3xPL9uwDzjmMY8YcnRPL9l0DyGJ9Q8tabFPAc9wjzsOrU87J24PKhvvTz/CdY8WevRPFrNyDzGYv48Pe73PE+E4DzcS+I8vcjfPGfFwzyPzPw86dn0PEXG3zx3Bdk8s2PQPM0s2TzLIeE8ndvePCkm4zxjveU8oILoPASlBD30ews90wEIPU0CDD3KuA49RNIKPZs/BD1w7P08l6QHPdt1FD3Wpk49EuBlPWIhVD1m80k9lr5BPY00TD0KM1A9z9dZPaPfZT2dKFQ93K1LPc83Wz0hiVI9vrhIPWQcTD31l0Y9JrdRPetTZj008Ww9XmxoPc8nVj3UGF89Hh9tPQMAdT0DzIQ9bDuFPV8haT19h2I9eQ9uPQaWgD2j/ns9pg93PfEndj1AI349dox+PRtFhz3Zepc9LuSmPcOvnj0mO6Y99oW0Pc/ixj3Jlak9bQ6OPUfqnj0/Oqg9spqzPZJLsj2AZ549U7OlPUO8rT0RN6o9AzqfPe5Slz1+LJg9sFiWPY8Ckj1sGJk9jBKYPUEohj3BSYs9oyeDPY2Gej03XXA9egNtPTJjgz2+eo09x2GTPVB9lj0fsqM9qSyiPZNDpj2PzqQ9vSWkPRKnnD3/vKg9DDysPcPwwD2jNLw9AgG1PbjKwT1+Jrg9nY+rPd06rT1UiaY9B3aaPUMvlT0FTZE9QJiZPdeznj3Jqow96amVPbIeij0MxII9faiGPUwZmD1nSqs96feTPSfGkz22tZI9YSCZPWSjlj2OvqE9eP2dPTp5mz1AbJ89tsabPZcsnz0W8JQ9qZV+PXjbhD3mHIU9tYKSPT0UoT3IuK89moenPYUDqT3yHaQ92hmfPSF9nT38oKE9tt6bPZS/oD0EKZQ9+deWPYvjjT33yG490Ex9PdmXgz3qx4c9QY2IPTrrij0YZIc9VJGBPbniij1UZYo9oLKRPZF4iz3UwII9s6qKPYg+lD3d+ZI93qqVPT13kD1+t4s9g9uSPSM4mj0BB4M9Q92APadThz3bhYA9HMZ0PTDQhT0MHXo98M5nPcFFbj12S3o9m7l+PXlofT2MbJA9MNibPXxGnz3or6U9R+GHPbyghD0lPIc9nFeMPW0Ykj3lxJg9rtWQPdEbhT2Z54g9Njx6PZkHej2uvoU9wnN3Palncz3O+XQ9m9JsPWeogj1IH5M99VmOPaHZnD1SgZI9I/eHPbn5iD2W2IA9KSh8PctLej0oqXs9+jeBPXSQgj0jEIc9O36EPWVwaT2zrnA9pfRtPbfrSD13rUI9YW5IPRtOUD0O7WI9n5N5PQ1leD0Rj189bn9pPZU1Xj051kc9L6I+PdLZQD1Bzk49ND9jPQc9WT0wlUk9DQU8PT5KNT2GuCs9CVU0PUfYSD3y1FU9ByBAPX/DPD26VDU9vdI7PcgeOz1B4TQ9KLktPZ0MLT3cOjs98zRBPV4WRz13XkU98GQkPYFUIj0LkR89hksxPXIYUD2wBmI9EZpbPauGNT1pkyU9c54lPQxiEz22cxQ91pUZPR3SGD0IUxY90e8bPYa4Ij2ZRio92pI4PR9sND3tPCs9XeYkPQbIPj3vKlE9s51qPSy5kD2dP1s98zqWPYHA2D2vHEE+ccUuPnaLKz4bYjI+S0sfPt0hHz6Yhxg+Ax4vPhncGD701w4+rUgXPpjJHj49UjY+ZHItPozkHj6bPSA+Pg0VPuafGT79UiU+l78hPj0eGz75eRY+Uj4LPgCfCT424RU+LNUSPkTDKT4GIEY+Cx4qPn7CDD70kzE++Hk5PqLGPz40KEI+6c80PvnPMD4gYzU+NiwzPjEeQD5xC2s+gLqRPri9Vj6sM1I+imOSPh/1iT5DuV0+T3g5PkSEUz7QD5A+/+J0PleWTT7hDFk+7IBJPgSoWT7ZZVU+LBNlPt29Xz5AwSs+GGsPPp0gNz7OoEM+70orPgTfKT7nvTI+9ocqPlB+IT7Kqyc+QbYvPqsbUT7Fp1k+2AQtPr9jMT5DhDs+l4gsPhwRIz637jk+cHwwPmYmLD6rcys+v0krPrRUKz7KyyE+22UoPsIzLj5+5Cg+41gpPsKKIj5j/yc+YIopPrgWJD7iZzE+GCUzPn78IT6s+Bk+EQ8oPh6MKz6iny4+qUE8Pl3nPj5Xwj4+SFc9PlosPD61RT0+LwouPtxkJz7GUy4+FFU2PnXAMT7X7is+gTQiPsAxKD6/0Ec+gXQ7Pv7CKz5iZC8+uOM+PnH3Lj7fRik+k6wpPjaZJD4eZS4+odczPtW/ND4CPRo+p8onPrFeJT5uYSM+0aEpPsv4OD7YFUQ+ttxBPimhNj7i+io+T4hNPlioVD4S0Dw+McImPhwEMD4bMEc+wr02PsGhJD6t/TI+nrwjPoZLIj6qUzI+3OkvPqC3Lz4b5DM+Kq1RPoncWj45X1I+41dSPtYzRT7hHEg+NAFDPmzzOj6bqkA+A+RHPpnxPT5FLEU+Up5IPk2mRD5jj0Y+ud86PoWROz4QgDk+ky05PhXfNz673j8+4GJJPoGtMj5ZgBM+b58xPqiISz75w0Y+keY9Ph5OOj4DES4+j1ssPizoPD53NkM+R9sqPv02QD5BLTw+rLFLPgNhUj5BrkE+CEk4PrxpTj5J8TI+gVxEPoUYQz6gp0E+MShMPrjOMD67ziA+BI0dPvpiFD4HTBU+G/AgPl4NIj4y3SU+JaUhPvXjGz6TshM+GkofPnuWFD4n/Rk+LE8vPj1mPD7AayU+lVlSPsgSRz5QMhc+wc9jPobgMz4eKik+lVQhPsEALD6gOyQ+epObPXx9pj3yFLc9l96/PZfV0D12Lc09YmDIPZrPxz1eKJ4991yEPU6LdT2vZXs91PSJPSjJjz3MDJE9/2uZPRs6hz1UJI09J7qWPb/0jT35bH49SYmKPUvgoj1aPaA95EOcPYJOlj2hsJI9dzOJPfulej239aE9/I6nPb6zlD1REJc9lRKaPexFlz1PMKA9LlSiPbdGkD1kLXE9Ge1xPSYziD0PzY49ueWYPc/uqD29t609HW2dPdtipD0ISKs9e4WmPYnpnj1OGZo9ltSePTxmqz2BILM94vmUPUYUgj1LLGw9djN3PZbifz3hq4s9L8WMPQUEhz0y5YQ90TqEPVQqfT2vp3Y977poPTwIcz0dl2w9fMFVPd3sSz1dTE89cNxlPbZBZT3VjWk9oQxhPaaJdz24jmo9d3eAPccxiD0xs4A9E65dPW8cTj1geWM9UoliPVJxaj2whXM97C12PWhFZj3mG1w9UKhSPdsJSj1QoEM9g6o7PWLjWz0DR2w9NudqPZJOTj1Zeyk9oFouPXjJMT2S0k49VV5MPeRaXD1EXl09uuxaPeBsWj1mMkY9e6xLPdntgT3ReHY9m8BiPeW2YD1y/Gc9PcJxPTVbZD2oClc9JblNPXSuaj11RVk9mb09PQMhSj2fjkA9p/RiPXChVT27SDc9nSUyPbNSOD0iejI91uYnPXl6Jz2Np0E9Nb41PR+mGT1gmwg9J4oPPYH9Aj1XJvs8Rq8CPVN18jwel/88OggHPe3I/Dy9SPE83b7ePLEg3TyrXQo98u8IPZT5Bj37CwA9dqkRPQ+p9zze49Q8Tv/QPLpt2zwmB+o8PvncPAsd3jyFlew8dhnePMis5jyc+gM9XOrlPLd/uDyZ2cA8x+rJPJjhyTweZMU8h9nkPJaU5DxkosY8bQ/PPLKp3Twz/Mc8rOK5PHQGvjynYdY8B8zbPBSJ5jzS4Nk8eZjmPIjj/DxD6vM8T2oHPW327zzN3OY8eAb3PPVZ2TyIF9g8WUXdPBzf1jy5adc8eYziPCRi+jzGYxM9qfUhPTfoDT1BSAo9eBMHPUwDCz3M8wo9nm8DPRoq/zyd5gg9qNQePW7eFj0xqUo9aE89PaLrNj1T30Y9bD5NPRM0Uj3JKWY920pXPa0JQz27MTI9HEgmPXIqMD3Kqi49k2g0PSeHPD2EokA9qxhZPaKdaD1emV89HENZPQAAaD1b1XI96c1rPcKJZz0rumQ9belYPSJjUT32h1Q9gAtyPeK8jT3FpH49tyZ1PSukfT1yzXo9+mR3PR7Lgz0i05Y9hMeUPQhYnj1GMp099SGlPXFYuj00yqM9YSSFPc12oz25j6k9wzG8Pdhioz3+qJM9V0qiPd/Yoz3Pgps9+mKgPVu5rz3f7ao9ONacPRP3lz3/yZs9zG+ZPSKyjj0N2I49EJaJPZFoeD3Zy4c9RIyPPbeqmT3i35o9LL2VPTOLlz1gmJo9Cb6aPSk9nz1teKE9OPSzPWYcsT1TLq49ZC65PdgsvT36sro9e62wPX3FqT3vlak9nxmhPcFumj29gJc9J4mNPcfHgz0Bc4c9w/eMPaDwiz0ha4Y9TyyJPXQVgz0OaII9QJ+FPTpcjD2dmYI9DW+HPa5ilz0crZM9S+2NPR1ijD0c8ZM9PEqPPY+MkD17kZM9UNOcPSfGlz3UmZQ9VrqOPSDRjz0uM5Q9vlKePYi6mT32R5I9fsOWPXqsmD0sx589KG+wPcK9qT3NtKw9Ml2xPTQGrT0MrpI9GYOHPY6HiD0nVJI9PgiRPcm2hz01/Xo9JwpxPaG7eT23aIQ9lcmIPTdyeT37gog9LxWQPfddjz01e4I97gx7PbN8gD1zaYU9KTKUPf2CkD0CVX09VP98PeHobT2xVGs9M8BtPVebcz0hY4E98ehuPV/TXD2jPFc9J2BkPX2Cfj04C4I9yKqIPewyhj2bLXs9yJJ6Pb2LeD2zfnk97rx6PV5/iz0LJJQ9BVebPd7Zlj3MR4Q9QbRwPRyChj3ZNYs9kCiAPb2cbz2XyIM90EqCPeQRfj2Ms4E91SeFPT6hlD1l25k94zWTPVHqlD1+KIk9fTGFPeUlhD0LPog9AtOHPdrDgD3oc4A9FCuHPesSgT1LqXE9Z/eAPRP/gD0yMVo9gLtYPWHCWD3LQlU96cJPPTBnUz3xZlo9IMprPbUJVT3BM0c9dUU0PYPLPj0lPUU9IdpOPWu0Xz0nHXQ9Z5d4PcmITj2uCzg9RuonPYXPJz1L8ic9G7otPWcrOj0o/0E9nOhDPRmpVj3M1EQ9tydBPYVrOz3dUy09YpknPfcFMj1H9Uo9zRlLPVSNMj0cAkY9g1ZBPflWQT0pnj09ETBTPavfaT0mGlc96wQgPUUNGj0XByA9Te8iPRpqHz0ViCg9vKAyPXmPJT1PEig9Vrw0PVSjMj045EU9AapWPQhsSz35iSc9a85IPS0bUj2vnlY9fNydPWjxtj240YA9P21+PTJTwz0o0iU+xdYqPmIIJj5VOSA+b9cZPis2Dz6cwQ4+ETohPpOiIT4gUxQ+uFQUPm2HGz4CBy4+OdwoPpoLJT7FkyQ+k44fPs1gHT4nTiU+GAYkPou0IT4uyA8+HIUGPppgEz6McxQ+XNUXPoZWRT4s92E+ldI+PlF/PD577Ts+pn8vPvoxPz5z7kQ+e6VSPtIVez64zlE+lf8vPkZHGz6v3T4+yT5mPomlST7KXjk+oAVHPnE8Hz521io+RYc/PoZZPD4S50I+b0E1PtQ1Rj70aFI+kOBwPkgxeD4jsHg+/zpiPn/Lhj4bMkc+J8wfPiZbJz5PtjA+0wkkPp0ZKD4oQS0+XCExPuUwKz5kmjs+wXEuPlM/MD6FRUs+hyo0PhkLKz6JcTQ+Ogk0PjhHKD57CkM+Suo9Pqn0Ej6k/Bo+gyAsPpRgOj4EoyI+kRAhPnBnIT6/mDc+CmJLPvBEdT4g4FY+G088PiksJz7ILRw+jeofPruhMT6VsiA+o4kjPkULKT5kuCQ+MbckPjJEMT645EU+jog/Pqe+ND5R7S4+FaUfPu1hIj4I5CQ+VB8oPjz1MD7JpDE+h4AxPke1MT4dxDM+VuwqPiPqLD48mTA+rxQvPgpcLj75ADI+haQtPpWCND76dTA+6L0jPvIIPz5Y3Ts+AwIpPva1Fj5wFho+3KAdPjBPID7KijE+4JE8PkGWNz7Txj8+83U9PuE9SD5l6To+NsAyPovLJj7VPls+XfFEPkc6Lz7FnSs+3JAoPoDNFz5nTiM+4bYqPtjzQD5fb0s+VCEwPnbNNj4jTFA+Cr5TPgImOz6rWj0+qmA+PlnoOz6VNTk+LOg5Pt8lQT7A/j0+9ydAPnQELz5eZSc+Gt0yPg7MLj7gh0I+Rx9HPvSuOD78Tyo+IRg6PqSlLj6KTxs+AwNHPtMNaz4/wDY+FcQmPhCjMz5cgDU+SPwqPleIMD6laS4+0y81PhSgMT6HIDg+nYU8PhR1Tj5zFCc+2+EjPrUiNT6LJD4+9YZDPnW8UD42jkY+CRAzPkQLLD6V0Sg+tFsrPkgsID6VIgw+4zcsPtcBOz6rl0Y+8/wtPmX8Jj4U5hQ+RMwkPlgUKj4chzQ+FgVHPqd8WT4fHjc++CI5PmSvFD46wDg+gRJcPvjSMz4V9RY+FdkQPpceFz7zJxw+71GuPSJQrz3Dbr49A1m/PYMmwD1Fzbo99JLLPc4CzT0DCKM9QtyLPUA8gz31YYo9LzCTPfFYgz0SD4g9gNmKPUuTij0Kw4898z2JPT6ghj2ByYs9dPCQPROOmz2oso49H/OTPW0slj0YwJI9L2mFPbwvjD0yhqM9wQ+uPYVDmj0Zi589ajujPR+IpT0nj589aTGdPUxPiT0N9Hs9GxCAPXAylT2S55A9h7yZPeYdrj18/rQ9q/O0PWs6sD3c1qo9v8yjPXNoqj1/q6k9AH2jPU2Oqz3fV5w9BXaAPSS+hj2fZIo9YjeaPdaTnj1dD5497jiePUJhlT1ocY89+YiaPXXOgj3+7GA94yRgPTVtaD3VvVI9I3dMPfl0TD1ZwFc9HDtYPTpyWz3vSGI9V7KBPTCWbj0/MWA9q2VwPf0fgD2ltmc9xhRfPQYaWz1hC1U9JPprPXHxbz3yVII9mmJ5PTFXgD3O9489j0qHPXldVz3kE2A9391pPTXiZz3LMVI96k9WPU8mUD3QZzg9IbA9PQGOUD19YFM9s3JVPdrrVT2jtFM9AGJbPYlFUz0pV0Y9HX9/PXthjD2LRVw9u7pTPb4tUD0whU892OVjPVLgeD0VR3g927ZNPXdXNj1QIDQ9W2ZGPbPqTT1+W0U9r5hFPYC0NT1Prjg9VJI4PaleTD2dB0k9DpAsPQCcRz1iAVY91SsvPauxJz0iChk90DUSPfxvBj289wc9AI8HPTwTDD28LRY9Qa4QPSZCAz0nuQg9Wjf7POjX+zzvNQA9F7EKPTEz7zyAK/Q8pvAAPZdS6Txfotw834DmPBUv+jx2YvM8w8TqPAGm+Dwa1/g8rSYBPUl6DD3n/ss8qSTNPIxOuzyh08A84x3CPIhd4DySJAc9AGICPd3E9Dwvvuc8P+jZPIVQzzwe6tw8omHOPNq8yzwHzuA8oPQDPfMuAz3i0uk8Qz3vPI7FAD3g+f48Oof4PO9B/Txnmf48RLf7PCtrzjwulNY80nfpPDH+1jzgecE8TwrbPEunBz0WIA497MoRPUNMFj13Ixc9PJ8VPf4UBz2+jQM9B4cBPdOz8Dxm6t48r6DxPJR0GD3e6zU9sG5MPZh5aT2pdWY9Y9BKPRZ7Tj3RLFQ9Se1DPfaqPT0OPC49Yd4ePa9dID3xNCI94/0wPUARST0AcUY93ERmPS8pbD12+WE9IlBQPRTkZj1QXoA93ZaFPd+GcD0Hl109q9pfPewkWz0tTWA9AWKHPVksoD1Yp4o9BZ2BPfX6ZT2UG189PohjPQBQiD25q4M9SiiEPW8pkT3CeYg9RISVPfQBsj05R6A9rx+DPQQJmz0GY7Q975exPfLXoz2Xfqc9OGSvPe2MuT181aw9xqa9PVwI2z0jXdM9uL6vPVp3pD0CYqY93kqYPZk1mj129po9pquEPfXGiD1gpo89bqKRPdIekj2v65A9CkWEPV2Ujz3MS6E995+UPdOTpT1GKLc9kbaxPc+yuD0gHLQ9XPuwPaW/uT1xBrE9B8eqPfoIoT1WNro9nFKzPSUnpD0RIJ09qwWOPdGukj3mj5Q9bY6JPQOnkT2biY09KBWBPU8NhT1ujHw9u3luPUWFZD2xWGg9xXyBPXfKjD2CAY09usCQPZ3ZlT0+Npc92YaWPTxekT3F7IY9OdCXPZYDkT2xDoo9UsqLPXajkT1pQps92NqVPUfMlT3FN6Q9vJ2lPVhSpj2fBq898uuqPT3Bqj31d6Q97suXPckaiz1bMIs9HGiDPS5siD1xCY490lCMPVzvjT1UXYo9VWGKPZoKiT0xjYA9eRqOPQ+Vhz1WWIQ9BJ+JPeyRhT1oCnU9QuhfPWm+az2nKX89VaN+PTBVcj3jaXM9Po58Pesthj3tJIY9FmZ3PX21dj30zXk9mIl0PU+ldz21km89RlBnPc1Ahz0lxI09ail9PYERdj0Qn2Q9h0FtPQ7+fz0fOY49xHSSPbKfjD1iAoc9hW2FPfJabz0SwWI9hF13PciOhD3ItoM9U1uLPWVkhz0XcYc9RAmFPcETgT1dlYM9Te2GPdpwiT0RsnE9aNdwPeh0hT3e/4k9ndaFPUPyhj1zlYg9fYSJPR2XgD37jHM9/Ux3PVYscD2AUmk9KHBoPRj0eD0jyGI9XThZPXzbZT0RB3M9Qm12PRDsTT3yJj49TcdAPQbhNT3nTkU9GPZLPf1FVz2az1c9TsFcPUrEVj0N0D49fgYuPf4lJz2fkiU9iLYsPU6jLT3emCk9i+cuPYFJQT3xeEI9H88/PflfSD13gEA9TA44PY6ORj2rhj49c9w1PZLLNT2ORzE9HiYqPRM3MD1rwi895bxKPWs8XD0q7EQ9CDdGPVUpOT07Vi49HDAnPb3AIj2DASg9nA41PcFrND1ZMDo9S58+PUcQOj00hkQ9K8A/PexqND3+gT09NQ5uPW2/XT3DnzM9/R41PZPFND18rC09c+KbPWI32j26dec94ifsPQ91Bj6JqiU+UgkjPpb1HD60LhU+0ukTPnb+Dj4lMhY+0zc2PoaNJD5o+RA+N7YjPi3nFj6VkRM+82QlPpQvNz4BkCE+1QgbPhHHFz7S5Bo+TIsXPh11Ej7Pfh4+zpkRPveiEj4zhhM+QecWPpeJRj4cVUU+4t08PpWOSD6t2TQ+v44wPqccUD60S1M+0xYwPu5lGj6baR8+ehccPuzDJD7edjs+o704PnzEQj5TUnM+2ZV4PtHVLT4PUyQ+jusyPovNHz7zFjU+U5pTPgFWYj6yUUo+K79SPgwhaz4Le2w+n6JXPteiiT7BvHs+sdYuPhCqOD5nPUI+q4MqPkQYLj4dxys+JL0kPs73Kz5xVT8+Fs9GPrXLMz7wrC4+BS83PrRdNz4JUC0+5xEoPgDOPz5C2Dc+66E4PqSyLT7DHUU+T4omPrUoED7ZnRc+xkAZPkM4ED7BUjw+1MowPhDZPD6pbUI+Qio8PgCcPD4jlCo+UuovPpOeNT4S5Cc+CFI0PueNMj5LESM+WmYmPlWjLD7KlTA+1bM4PivOND4PMyk+Xx8oPmv1Kz5LQic+vA0gPkpgJz7CDSI+nWwkPmjCLD7+XC4+ANUkPpR1Pz7p70U+1zBCPt7eRD63jDU+rTUoPp2XJT4JBCE+17QdPg8SJz6ukzA+sz0yPmluIj74DB4+JHUiPpuqJT56Ai0+HKkqPr0rHz6oniE+NqYzPknXMT6zqzE+3A9HPtyBLz40LEQ+KbFLPswbPT5vHzY+gYgqPhqsJD7/6DM+qhUlPncGJz5E9Ew+mRJFPq2/SD64nUI+LAQ5PstOND4yqCs+CvIuPsYoKz79Xzc+casyPl5uLT7zKCw+FaoyPvAjHT4bUhc+bS9BPn7XHz48DSw+P/UtPsYLMj6KFjc+qsApPj99Nj54ETs+F/tCPqk6TT73M0I+L/AuPp37Oz7QTyQ+WEQePn8KHz4HaSE+hIUsPnhcLz73Ujc+NWktPqbNGz55oSg+M0onPjdqJD4jDCI+miEuPtDMKT7uDi8+R6gnPoaeIj42Hyk+mc8xPgT8HD5FtCk+zQkuPv5UJD70Bi0+gk0xPlVKRz4sqTQ+HM4fPj78Oz6TATc+YY5APrSASD7nFCU+gyUvPgQkIz6GMzo+aXw8PqzgGD7+qAg+6xQYPt+Y+z1ZGRw+YrqrPfrTtz1jnrc9Tn7MPYv6xT0gGrI9IsGpPQ8doT0x+JQ98m2PPZxcmD0CaZw9itaYPTDdgz3zP389JcKDPflAmT09j4k9y76CPQZ9iT3aRoo9OZqRPZQRij2xfZU9i1mfPSUXkz0XWYc9mwaLPXi0mj0056c9dFC5PeAVqj1eY489Od6YPUAsmT36apc9uJ2bPfyOkT0Ae4s91MKSPVKsmj2Yd5s9OKmjPXvyrj17jbQ9bdKvPUCqqj0Pqbo9GW+3PTB4qz0z+6E9p22PPT8ulj1bzpc9c4SPPebFlD130ZE9tbCdPY/2oj3tALE95IGiPR/dgz3sJ4s9vX+BPQgeTj3IEUw9GKxYPY27Zz2xqlY9BJ5WPRTNYD2p6GI9snl5PbN0cz3irFs9rndhPQWacz30BG09dqB8Pcwscz1siFk9DstVPaakaD3j0V89zj10PYgKdz2a94E9rP2DPRXlhT0u1nw95X10PVWpXT01xW09aSxoPSDdYj20W1c9gGVoPbWZTD3hK0s9XkFUPfHQWj3U7lg9/HVwPc5FhD1wgnQ993lqPScuUT2msks9PQRwPU8oXD0hKlc9KJ5fPekrVz3JAVk9v9SCPYjqcD1/unE9TN1OPXAJRT2TzV09ZbtvPf7dUT2AWkE95MFUPb4xPj3Qe0A9pns2Pd0JOz2rI0Q9IzRoPW9waD2slE89FIklPSnJGz24GyY9rTUoPVhCFj3nijY9UcMYPZT/DD3w1CA9TdQfPa/4KD1QwBg9ZC4SPf9IBT0L2f88Lh0EPRqg9TylxwE98gQPPQwfBj2XguE8FGj7PGo32jwh0tk8HAvqPMJG6Tw/sfU8O/7UPBIB2Dxs2dE8nsfVPO8hwjy49cs8hxPaPOyb4jzmqPo8fq/mPLXd7jwikOI8PxTHPM/j6DyX4vQ8NeftPKey5TxQ5/A8tJr5PHRCCD2zwQg9mj4APTiyFT0n0Q49hFnqPFNx5jx3zPM8nIH2PFSd7DxGBQU9h1jzPKgs9DwC7u48dIcCPUCPBT3Gfwc9HUMSPUKEGj0u4Co9UPYLPYPXAz1N8Q49AHb3PDpN3zy0zfY8/3sVPar3Oj3C+1Q9YKhnPTmsbj1Fumw9wndSPbifLT1kATA9uwk4PdZ4JD1koxs9C1QtPYd0LD0pMzU9i7hGPR+POj3njkg9wmFxPQGBhD3MxnE9E7lXPScsgz1yMIE9Wp1yPVp4ez0DZng90t94PfrUcj34y4s9TFuVPXo8pD10f5E9UQx6Pb63YT29R2g9GRhhPWgEiz292JY95zCUPa+HiD3fsYY9xVSePaqWyT3N0qA94qGVPWqfqz18RLE94lmrPQNmsT0FjLo9pjrZPbAN2D1nR7w9gRzRPad36D0CF9k98B62Pf3ssT1MtrU9x9KwPVXhnD0hNKU984KTPR9liD1yv4U96xqQPRDYjT3SLo09OGaaPYC3oD10z6Q99KakPQ6Srj0aeb09Yf6zPftBqD3fzKA9ny2vPUtqtD2OZLo9OB3BPdI1zT2KnL891Jm6PTk4tz0Iy6o9hpGbPfXAiD0yyX4968t6PYEGhT3AjYc9azZ6PT6aZz1u5209NiR3PR0QdT2SQXY9A92APd+Ujj07eY09kU6KPRB6iD0pEYk9w7yGPWu9gj0hlIs9fvqRPX20gz1iWII9KaCDPYOrlT1dmJY9j/OfPfkFoj03uZ89LaebPY7elD2ZfKA9wQedPf9zmj0woJc9toyKPcWQiD1UmYw9V0iaPfnVjT3JWZE9om6bPQEylj1Q1JU9wiuNPZxmiz1zIn09ckyBPcYqeT09onE9NLB7PY0afT1j5249QlFnPW2Bgj2hlIE9C7d6PbvAbD3Bg3A9kMuJPcCQjz3TZIM9VLpvPQ+aez1WQ3Q9ZU6GPQxviT2oYYA9huuFPSdRiT1/6m49mIBxPdwrcj2m8GE9DDRvPfYGdj2a0ng99g+LPepFiT1vm4I9HGmDPUk9gj25YoQ9/aiIPdfEjj2lZo49NouIPUZuiD3/SZE98JOJPfgtgj1mHGY9HDeCPYDzgz3zs389NiR9PTWzij0xD489WSOOPa3OiT0e85E9H72OPWG5hT11Hns9WfaEPWacij3mK409boSMPawIhj0ikGQ9EdRNPSklZD0Z+WM9emhXPVV7UD3DwlY9QCBYPSVqTz2Gl089qQZLPZ+rQj1c0Ec97h1oPZEWVz2KPzs91QIlPei+Jj1izys95KowPcicMj3vaEA9YkQ5PXNtRz3F7k891tViPUkjYz2YV1U9+NxaPa2SXT3ZHj09cdY0Pe00Pj1fZS09nC46PUpVPj1+ZjU95rEzPYhvNj3GejQ9ZL0iPRMbHz3HDB09+YwjPTP9ND1NLSs9EykzPRJROj0FPS09vUMuPXLIPz0alEM9i+dGPXXoSD0tZDs9kcVFPcKvSz05RUk9YApFPaVCQD0CS0I9K39qPV5lhT3Z44w9/7WuPVrEDD6LFTU+tTAjPn0/Kz7j7SU+KEESPm4DDz45KA8+iXsbPrDOHj5wCCY+e/AtPs9uIz4cyBE+8wQRPmUgIj6WVR4+V0IaPuF5FD6VHgw+ExsOPkL4Cj724g4+5j8WPtvwHD6oFCM+uwQoPoENOT4TmDY+DUgyPlgoQj74Pjs+4J84PhQFMj6OUCg+qk8iPl+9Fz5caA8+7p4uPhcyTT6Cjo8+btGAPhg+Nz4IYC4+v1k4Ph3kLT73oSc+qH0fPl1xEz769CI+0R0wPnedPj4ClVE+6QlgPlfHTz5X5UU+pxE6PuU2Mj5KdTM+AqknPrw4Pj4//ig+HH4kPkOiWT4lEUY+dksrPjFyKT5Ev0A+maFTPr+eST4O8TU+YoVGPsDxUD5mLz4+EowhPtdNLD5iVDE+ss45PvJtMT54hS4+o4ErPpRWHz6DrCk+ypgmPgysHj7UDCc+l387PqvNFT7dXh4+1lgzPkoYOD4BMUE+4Q86PqR3Mj6VzTA+cd43PupXLj4S2zc+/TEtPk2aLj5xfTs+5Fs2Pkw6KD7JQiw++b0mPlG/PD7HWDA+H2AoPuuDMz4LHB8+0yQQPumsJj7gxkI+xE84PuYpPT7h/To+XKBNPuNOQT4wxzc+iZQhPg5cID53ZCQ+Pm04PsZrQz4GAjU+vz8wPtapLD6beyA+9SUgPrHXDD6+eBw+OTklPlpaJT45ky0+Gk1LPuc9Qj7XvDk+m/9NPj46PD70SC0+zsU0PhyWKj5HoxA+JjIgPql5Iz7CczE+uyoqPuSqID6kPz0+ka40PiHsLT5rQzM+N+k2PkmhPj4bPkc+kQVDPsWoOD5e4Do+58M9PpzwKz4V5Sw+0uQrPvqzHj64xzk+7kE4PuG8Fj4ETQg+L1IiPqz9MD7W/TU+ajY2Pt0EMj4N4js+IxU9Ph+7Vj78Az4+/hYdPgCTIz4zoB4+ZxMePv9JHT4y2hw+e90yPsr8MD5H6C0+fCZDPpyPPT4RNDs+m545PuHiMz7GQzc+4EM3Pu9eNz7DqEI+slhBPpgcLT4xsCU+xz8mPuTmIz4nYjQ+yeouPiL0Kz7Snj0+blkqPtytPD5dtR4+JKARPr8VOz5QnC8+B/IlPu8rQD4jKVc+K4k2PqARKj4ATC8+DDMcPtwaDD7hGgs+nNQOPgreBD57bg8+hPCePU9EvT1zIq89PHOzPfj0rj3nO5w9awemPYFFrD3WmL09vHWyPStllj0jlZs9yjqiPeFonD3SgJ49p/GPPQLIij1XJIY9G5mCPU1BgD0h2YU9iBaOPeeFkT3DS6U94/enPcwvoD3IrJU9cHiUPSIGkj2JSaE9Sf2aPbgzmD0/KZM93RKVPUvekz0FcJI97CupPdZYtD0TiaU9VnqpPTvXvT0P3bI9qQakPfSLrz0XpbI9M3K9PUajqT01DaE9J66iPVqYkz0JvIw9jleMPQAqkj3qdaM9gRylPRNFoz1OWaI9l7CtPWjLpz0WeZ89kVmJPUZhbT2tMYQ9IT9qPayZWT1AwWU9AwVPPUWMST268Fs9tydmPTwybj2/yF093xxUPSgjVj3Vum89OOFlPY03Tz2W5U09ZNFQPfzOaj2Zn2M9IitUPUukcz1DU4Q9nVGCPQVmgD3eDYQ9bJGLPQnDiD2wIHU9DYt2PRhAfT3ak3U9R0VnPaZqVT0utlg9vx1HPZ5PTj0mrko97Ak9PSynQz0LLEU9TAdjPZjUiT3X71s9Bj07PR7rRT26WGE9D8R3PW9ffz1KH4E91A1pPXZtZD3hn3Y9kBplPSQ1bD1KSWA9/lhTPbflZz1Vl1g9gMk4PU6kPz1SSlA9poFZPVuqRz3lSTM9ea40PSgWTD3TF149qyNiPW+1ZT2CCTA9zKMYPQ7KDj3LzA89+l0UPbVYFD2dyBQ9b3wIPXkICT1H1wI9FP4MPZpTHD0iYhQ99BsPPZoNHD0ZrBk9p8v8PGiTAz1yGCI9QSEdPaXzBj0/TOI8HvHxPI4R7Tx/8wE914YEPWxH5jyuAgA970n2PKvt3jxh6es8L9/4PAcG7jwIv+480/biPCBK9jwp6fI8Kx/6PIV8CD10VOc8ZcLoPETi5Dxdf+c8fO73PDdtCT1XAP88/Sf9PNcVET3p0g49oSMJPWQRBT3ouw49pFcEPQUHBD0K9/U866v/PJpqBz0wqA89amIFPZ3SCj2roQU9au8TPXlXGT2oEA891ZQVPWJVIj3smi49aVo2PQOCJT0gSAg9g3znPO5tGD2A8TY9ZJ5CPT6LPD14/E89LJtoPc85hz2gs2c9cN5iPcOvVj36lkI9dhw7PUd+Mz3VKCg9rGcuPe9zLj260yk9c4IvPQuJLD15U2I9plKLPZt7fD3FAFM9NZVWPeMQdj1ZI4E9Iu6BPSrJiz06PYA9oGRzPVoDgz1iOpA9Nh6cPZ3HnT2L54w93N18PSppUD2y9UY9CfhxPfLOkz3O2pM9EN6QPZqbkz2HdKA9j527PTnuvz1QwKU9dzWhPU2JpT2Go5o9VdGjPQ85xz3+xtU9/PvTPRH40T3un909/vrmPc2b4j2XAtE93hrJPc50uT1sM7U9f2+sPYeanj0R2Y89nwmBPXJgfD3neJA9N++cPT2znz0QpKE9PcWqPct+qD0v0ac9ea+hPY/sqj1E4bk9HdDCPe0xvT2DjLA9FvaxPWWbrT0dyrM9NxmzPZEssj3Sna493ETBPZ2vwz1Rnac9MsOjPQYMmD3AmpA9c++XPZJOjT0nhYY95AV8PRHjZj08Uok9hQ+oPRflpD07Y4Q9U42CPezeij3wDYU9X2eHPRpfgz2EPng9jbZwPZdBdz19F3Q9ymuOPRSFmz0LQY89kq2LPWabkT3ZsKI9JH2qPe+lmj069ZU905CNPUfmij0fkJE9PxmXPbuRoD01Lqg9EUanPS82pj2kK6Q9VIKkPWvTnT3lhZs9Ok6gPb7fmj1YEKE9BE+cPQetiT2lB4E9R1p5PXI6eT3mFns90TOBPbduaT16cGU9Q4aBPYWwkT12QJQ9eBaIPXLwiD2z1ok9E86EPbPshT1XgoE9BXl8PXxCjD1oeIU9t72BPX0qjD2pMow9s22JPVMvgD3DsWg9Y5yDPcLqhj0kgYM9hLKLPbf3lz0kApI985yQPR4Jij0D3ZA9Tk6VPWyDkT3C8489i1WTPaNwkT05kYM9XU+BPfBohz2Ph4w9wReGPQB7gT1zUJQ9UGKNPfx5fT3+qHA9gwyBPXGLlD2tWZg9SaeTPUU7kj09n5A9qFGaPX+5lT0APoI9MBaJPd83mj0ukIs9o+t7PXA6cT2ihWA9h4phPUBDWD2pll49cgdmPa68Sz1iVkA9WepBPY8ETT2XrDg9eghAPSXoOT1gekU94g5gPUL5Wj2kjlY9V79MPZ8jQj0V+Tk9Y0I4PWK5RT3TzE89DI1IPeQ4ZD3vaXI9+jxgPVxYUz33g0U92flAPXKFOT1CZS49H64uPe0zLj0kIjE92zUvPb4EPD0E+kA9Lho2PTubPT36NCc9aLMZPdEVKz2tzTI9K5I1PaG5OT11lT89cJwuPRy+Kz2KTjQ94Gc/PQ3IPj3S6jk931Q5PR50Nj2lPD09bhNNPS9RRz2Gy0U9sqxMPVTVTz2JKVw9YzlsPWMlhj3nJns9u1+dPZkADT5Itj4+VdcxPm/eLj4HJxs+bPcYPvl3Dz7FXQ4+eIUdPmpKJz4nVRo+nVQWPgs6Gz7Y1hs+ViwpPgCUGj5vOxo+EjcYPgEEFz7glBk+Xx0jPsl7Ij7XiSI+0YEaPp9ZFD6tFwo+Hc6FPZX1/zwG7ro9B/0yPpmPPT5iriY+/HArPlBhLz7t/Cc+ejMhPmRTED5IWRE+gRUfPiF0Pj6Dty4+bAgkPrAmJj53rjA+l+smPt2DHz7Gwh4+yi8ePvMkHT4lxhs+mBUjPkvIIz5Jj1I+2UNFPmTTLj7WtiQ+2H8fPjXGLj7tQTk+pPg/PiyYST6nXDw+dGErPoa9Uj7KnjU+7JQVPlUYCj7oqzM+Ii9EPhvBQD7IHTE+a+krPkC+OD5m9x8+YT4WPttiQT618zo+YMwrPsR5JT7RBC8+pUY5PldvPT54D0U+ME0yPpdRKT7x/jg+ySY4PmthEz5idy8+yOc9Pp2jMT7xDzg+jOowPqVHKD6zUy8+tgYuPuHILz4hFTY+uPYtPmklNT4kGjY+YFc1PlelNj6goSU+iVwzPvVeTT5Cqk4+oZtKPrg0Pz4soSw+f/AkPjjtJD47DC4+4oEsPhXzNz6yOUs+l4tHPiAhTj7yiU8+HDBBPnADKT56yC0+5RA3Pox/Lj7C9is+MNo0PiMiKz6Dkzg+YutAPvtBRD5kCjY+ltAbPqZ+Jz7h/jc+Yp0tPhbhKD5HmDo+HjM/Pj9ZIz4BBDE+5C06Pu/VLT6/9ic+cQBAPsqQMT6bfz0+G2REPm5RPD6znjk+3W81PrO6MT67Kzc+LkEsPusTLT4mTzc+xM8uPo/9Pj7bLD4+qfA+PmLHKz51Eyk+eFE2PrU7Nz5edDY+zsZDPgHiMj58JSY+D2sxPgMMFj5IEDU++dlYPp60VT5Y/0Y+QH5cPsm2Sj4aeDA+tHkdPgS5JD5HViY+Mv4qPmvrJz6YDjU+Xy00PsBFKz5blSA+L0syPiAhOj7ZfTY+jHw7PqxvPz6GgSc+wo0iPpRMNz50UEY+NuU6PincHj5Z+RY+xcARPg36CD5E5QM+xaImPlzjNT5xtl4+/A4/Plh3Oz47+i4+eU46PpjjVD6AZTg+pNMwPqdkRj5QxEY+gDhCPodbFD4ioBA+DvUdPnoQFz7vNxo+hoIjPj8CDj5klQ0+IPanPXVKsD1Cz749tVS8PUhMsT2RCr09GkWxPbBbpD0MXJ49BjuXPcjSpD2BwKk9iGiwPWkYqT1TKZQ917mJPV1ohD0C7n894zWFPep5iD1jD5k9ptGbPXFqlT19wKI92MKaPZxYlT3LVqs9O9ioPUz5mj1WSqE9uKSvPSutoT1TxZg9ZlmdPcqLpD0aqbs9VwS8PYhjsD3D8bg9HtGzPYINrz1MQ6s9nXeoPRpMsT0f2qg91vGhPW77nz2Sv5s9PWynPT7flD1V5pc9OQSmPcdjmT1L9Zg9zCefPfxVoD23pp09tJmXPQU+iT1994c9fs6DPQytWz2XwFA90JdhPUVtYz0vEls90UNjPSLSdD1yz2M9bOJ4PRMWdT2F/2A9z75wPY+VUT07k2E9ihB1Pcq9aT3+72E9ZchTPRIYXT2xxW899hh/PfnUiT0HPYA9v1pvPVCaZj2bp2k94LVgPSTJYT3R4HQ9d8h6PV+3gj357YU9bX6MPf3hdj070V89CjxWPSslVz39TFM9VFpXPQlzYD0RaV895U10PSgtfj0gTnA9NjVRPfclSj3WPnE930RxPYL1Xz0bAF89U/RTPZz7Yj2eXnA9OxaCPWO4eD25YHk9qJpyPWV8aD1Fnl89omNOPcdDTz0Sz0c9YIA7PS7zUT0r/1Y9FqdPPSO0ZD3AmYA9AEZvPWX1Rz317SU9dGruPK6v1Ty+vew8dhcCPQx7/DynQwY9DEP4PFbjCT2qpRc9xyYGPfWHFD3IQg09Db0SPeFjCj3s+wI9sF7iPIcSAz2USxQ9n6MLPWwHAj0VpAM9AWgOPU5EAj2eS/s8+yH7PO7NAz3NO+g84Y7bPIzRBj0PNhU9MJsKPTOqBD2AbQQ9rTjxPOWT/zw8pv087v4MPRGeBz0CdAw9rNr9PHxg4DxK7/U85w78PPRu+TxP9Pg8/Zn/PJ7SFT1XjQk9ZFj+PMGZAz1S8Ac9I6oMPcumCT2Kbgo9+3wWPcOWIT0UXRs9bvcLPZNIKj3XqCw9HIkPPbImFz0TQhU9xrQkPTrYND2I7EM9MVo0PZPMIz08Pxk9oy8xPSlrPT2+4lk9NipaPeyQTD2rtUU9jBFVPe+Haj1JwlE9JuBFPWg9TD24WkI9d3M2PertKT13JC89zs8rPTiuJj3EEh49sbAoPei2PD1JiHQ9kByFPdCaWT0Bq2A9N3R7PWBDgz3wloA903eEPXi4hD2Imn49wMlwPW/XeD3M9Ys9rLaWPXEmmD3x65A9RmxoPVOqQT3hHXM9YRWJPffbiz0Kepc9RjaZPb+FoT1+mL89va/HPQkZrj0JPKE94CKiPXHIpz2bjbM9vz7DPRME0D1sb8s9ObDMPd3ezz2K4NU9NVDWPe9zyD38a9E9hdPNPZEzxz3vfcc9MeSmPQMPjz0ncIg9zVuCPUF5lj1zA5k9zs6PPa6BoD2d7a09GHO8PQGRtD17Aqo9H+6pPUZpuj25oLs9RjWqPQWCsj3zVbE9MyK5PQDNqj3bm6I9PQKoPU66sD36Bqo9LVmvPeorrD3vrqY9aH6gPQg1nT0XAZU9PpebPUuipj3jKJU91NCTPVEhkT2hyJA9BgSlPWKIoz2V1o896cmFPWLyfj1ks4c93haMPVuEgz2FU4k92C+HPbZCkD2SJ4094OaOPR2biT2o4YM9byCDPVszjD3edY097faEPR8dhz1Gx4s94xWOPfPMjD13w4o9AnqVPabppT0UrrE9YzO7PdqJqj2RLZo9AQydPTximD2B04Y9osGNPZHtiT1g+IM9QcJyPVAEZD31aW497O9oPUSebz1cWng9O/aIPe3pgz2/mHY95GWGPZAHgT2//YM9nPyDPcFOhz1LwYw99yKJPVKPgz1oRYk9WJeMPSeIiD3LC5c9wmiNPW2Vgj1xtn09XhKBPc7Fkj2ol5g9FYWKPUZkdj3EQ349jNaPPbauoT2rDpo95SWGPYSkgj25MYc9wn2IPY0Thz08MIc9yvCCPc3qgj3BZYo9eGSCPX7LhD1kgow9DwqOPaTtjT16r5c9EM2aPcsDiz23zIs9GwuTPQ/okz2FFJc9c8qWPfqEmj08YZ89DtmYPWlijD2SN4M9Cd2APcdwhj1/R3I9sZxlPWBNaD2xDWY9cpZVPXtASj3XZ0k9bWVPPQHdTT0WMzs9HZdBPdjCTj0it0c9Aj5dPRYsYz3FCGg9BztmPYz8Zz1Fe1w9zUJXPS0JQD12EFY9AEltPd+JeT08jnE97cd5Pd2PYj0WYzk98C88PRwFQT2QoS89FxIzPXvxNj3vKjU9Qn07PcMLPz3ui0U9Oz48PdqEOj3e/Ds9e8hLPUZeVT1mfz09M043PRN9Nz0k1To9Xxo6PalcOj12YTE9A6ozPaANKT0lAjQ9j9A/PXeTST0rvFE9aYZMPToUST0AcVw9pSVUPcapSz0daU49ZS5FPbKoOD0xLDI9nJ9GPZPsYj3Th2I9jaf7PUAjXT5StD0+160mPk6wKD5xIRc+sNIXPi8UDz7YUxM+PqEVPk7XGj5MaSI+jkkqPsK0Jz5pwCY+MEgZPtqXHj4VbzI+t8AfPqTdFT4D+ic+ZwMhPiuoJj68Rig+igcjPrrkET65bdY9mhLTPAEkPjzp9VM9+BcsPnMXGz5OUhw+e4smPjHOKz5+siI+fFgnPmn5Gj5w2CQ+mohRPiDrMz74URw+cHwlPpq6JT4pXyg+h/QhPiSdGD65txs+cDoiPq2SHz5rexk+53AhPmClHD6zly0+a3w0PlZ4Qj6f/kk+Ch0zPosuUD7NeGo+/qhEPof7Xz6lwHE+egBhPhEcSj7g5CM+2fYgPh0OHz4wPDw+JZ0xPrsBVD4NhE0+mNctPq9UKD4TQS4+4dU6PsnrPz4zSSg+gvooPtreND7twzg+Uys1PtvOMD7h30k+dAsxPqLcMj5mXkQ+WvM0PmKbNT4ZsTE+kVwqPgvoNz662jQ+RkEzPhGvJz7AtCo+lBYjPvRELj5Pvzo+rO04Po2qMj4JNC8+b+UiPsyYID6Bgx4+TH1MPvczbj7MBTY+YYU+PqfpNT4QUjc+H/QpPmwGID6boio+HZMdPuaeNT5HzWA+F49BPiXgQD715jo+ZtMvPqRMOT4TUEM+sHYvPm0cIT7ftCE+7KkoPtZ6Jz7lFUA+8Uw9PprGMj6Trik+2Q8iPrE8Lj5Edy4+b7ojPl5KMD6RJjA+0aA7Pr5BST5yTyc+PX0jPks3KT7a4Ck+59whPhHzLD5GlzU+Qd5JPu5MOT6HjyA+QNYrPryKNT5K8zY+kEksPqp6OT4RxTc+JKk2PmzMMT5TOic+Xmk5PnAkJj4E+TY+LUAsPiKdKD64xyY+eds1Pn/+Lj7iOxc+AhkpPp+OIT5w3jM+yJ0sPlErTz72p0c+bGtEPtjaOj6TXTM+8ZsnPgbjMj5mXSw+xdsrPovRIj5hGCs+3pAyPu9pJj4vRh0+FE4oPkd3Iz4JqyI+RBgYPuv3ID56uh0+PEUaPoS6Ij5PsTM+PY4pPin9ID6BySI+UcQoPr4lHz5ixBc++kIMPtshID5Rz0Y+fa01PnSLKT5Yrik+j0U0PlE+Lz7GARs+J1sXPpbUIj6mNic+5bYnPgZnJT6n+xw+/hwVPlPoED7hXhw+qW0jPpNdIT5N0iQ+hHi3PUbRuj275Lk90Gi9PTJQtz3al7Q96LWbPWhUrD35Nro9Rk2qPZ8EtT3/t7g9vvquPZGIrT2oC5Q9O/2HPZUnhT3+SnQ9y8J4PQoAlT3/85c9mLKPPYk7lj0b0Zs9rQ+aPXYGoT0mrKo941SpPWK9mj3P5JQ90KWbPeK5oD2ilZo9uZOfPSVMpz3A4q098M6yPVrNpz2pkLY9ASGyPYV/rD17+689gBOvPRPauT1R57c9YL+pPXtPpD3sgp09K5uSPabSnD3kHaM97NyoPZDemj3G/pU94BORPS5dhj2VTIc9hwZ+PeqYbT2XVF49FltKPXBtUD1UTVU98FZcPbj0dT0kxWk9QzKDPTeAcT0ba1o9pOp6PaVrhT05h3s9KThgPdmvVz1KG1w94A1cPYtmUj1IDVQ9aoRXPfkUXj25cXU9ROBgPWFYcD2F+Wo9vapyPaPWbT3QgFI9WZBoPf0wbD12f2M9uS6APXj9iD0tXYU9wPGCPRaTaz2HyGU90hlRPcV8Tz2cTnc9xwZkPa78WT2gTVQ91IxgPV24fT2gVYA9SXp3PbmEZz0Ue1o9ee5YPZVQVz0ylGA9gz5TPVkBWD0tw389yu+DPUyugD37Onk9p8d7PcPdej0uX2c95ZldPahCRD2Exkc9rthqPddzZz0HUVc9rMpfPbMBgD2uC4M9SiQ8PWvpFj181fU8WcniPGQx8jxXowY9MLAFPf8o9zwGSwg9qyELPXcODT2vZwo96aD+PBLa7jy4Zus8GAAAPYWp9zxiae889lEFPb9KBD0kPwo9aNMCPSDV+TzxcQY9pQEQPeV0Cz39igI9Zcv+PL1P8TyaINk8gmgEPRQmBD1xbgY9NqcFPVXy/jxYFwA9teADPYJZCT2WbAk9j9EAPays+TxLHPI8qbkFPWpqGT07hwo9onnrPIFE9zw+CQc9YMoWPfo5GT25bBg9b9QRPTiwCD1G3Bg9RawsPRMyHz18yRY9a3QhPTo0JT07xws9Ka4ePX0RSj2fFSM90V0UPeXbCT1oXgg92xMXPRL4JT3cFjk9aME6PSMfNj1jjio9ljpFPcGZVz1RFV49cWliPfwNZz2oclo9W1dRPW7UXD0WTU49polFPV72PD1ChC89yzowPcxkMj3hayE9sA40PV2YIz3KIBg9rYYnPa8FRj2pm4Y9UtWAPU7IVz1qBGg9k2t+PUaFfj1lGHA9HoV/PUfxhj2CEos92MOAPQEMij0rlJg9k8mXPR9YiD12O1Q9+wtLPdSFYj0k7X89L5qOPUk3iT1OOYU9D5WQPcmZoj3dJbk99N/GPcFYsj0bHaA9ZEWqPfx/xj1KMdo956bTPftt0T3VFtQ9is3BPVKbvT3dvcE9WUTJPQ/yuj1albM9rijCPcQNxT3Nqro9XIGiPQA4lj0lH5o9nkOIPUC1kz2y2Zc9SEmZPVlnpz2mMbE9crayPadWtj17rcA9bUG8PZ1iwz33grQ9EDa4PZ9NsD1n36s9Tva+PRT6yz39xLg9UTW/PWBkvj1fJKU90ECoPWuEoj0qOqY9CHiYPTedhj1K5pQ9p0GdPYyFnD38Tp49ncmYPeqJkz09GJ09V0GlPRzqmT1qFYk9HIyMPd/JgD0ZCYM9R3eJPYzFiD32xIY9bzmUPS29iD0xJYw9h3yIPRFrgj3XyYY9x7aAPXJpiD1aSn090894PYYvkz2aaZ89PmqaPe6fmj0GaaY9GNu4PX5yrz2Fy7w9yim6PWUYlj0zhow93OqOPfd6hj3rlIc9ejeCPVNkdT0ptWc9w/5qPcNYdj0YWYc9V/SAPSB3gz1F2JE9xjKJPQDXdD1kaHQ92eF5Pc37hD2tHI49gZqNPW52kD3cJJE9kX+PPfkqkT2aw449Af+LPekwjT1sKos9OB52PVA3dz1MtZU95OyYPfHPoD0yW549hHWXPZU8hj1aqIw9WeyTPb0WlD3TTJM9tj+OPaNyiz19H4Y9qiqBPZasej1hjH09Zox9PSvxfj3q+ZA95/ajPU8Bnz1N5JY9+FWRPWtJiz1k/Is9OgKOPWXlij3VMYc9h/+HPaUAgz3sQIo9LH6GPQBLiT29i4M9wVVxPceScT2A4Gg9ASRnPWZtfD1qxnQ9JgpiPbL0XT36yFo9p1lSPSPWWj0Ri2o9RfByPZFLdT0VqF09qbJmPcjHdj2rKHM9I12BPQvidD0/bmA9/phbPZqnYT2F01s9LIRYPV2gXT3b7Hk9RRd2PSR/Yj2+m1A92lNEPU9LNj2kUyg9b0A5PewZOT0H2Cs9/j4xPcgxOD3kkUU9MflPPUhYVz0AXj898Jw2PS9JMT0Lvjg97FRJPWVURT2MUy49rlomPTeIHD1ivis97OQ6PbKzRj2p8TY9qu0tPXFJKT1eSS09owJEPc6ASj39OE09B49IPazrPT1Vq1A98+BcPW5kUT1/f0097xNIPeSVOz3sbSw9YatQPWNteD09ReQ9ERY3PrMKUz5xpyU+UiIcPkpiFT5fgxg+6ukTPjFtDz4XXxQ+lVcVPniMDj4IuiY+/A44PrACJz75Ehw+UpYVPpZjEz6VlSw+FO8vPu25Hj60jSE+oZIcPs2QJj7yghw+pfwLPhAi3j1DwA094qNtPCnEcjxkbeM8lvYHPsMsLT5bXCU+uRgkPgKDJD4Y7CM+E5AfPn78Fj5bHxo+rhAZPiiyHD4FFyM+bsYkPjaiJT62Hx8+84wxPjA0Tj65jDs+UFEoPuSdHT7YdSM+Ii0jPizWGz618Rk+ejxtPk0OUD7iJTo+ji9FPrcPSz5lh0Y+QU4RPrF7PT6IAHo+fCxuPmOBcz7sVno+wOhtPtY8eT66DlY+FyQ6PjRQOj7b5Dw+wNQhPs+1Iz61RC8+aWVBPkHYPj7InzU+70EyPghyNT5OOzg++Gg0PsmWMj6szkg+SeQ5PpqYKT6nLzw+pLA4PsfPLD5NqC0+7Bk4PrOwMz6pIDA+iFMwPpoJNT5fPzo+d8QzPvxjOD5E+0Q+EQk9PiNDPT7pMjU+3PAtPk1pOT5doSo+XtMvPlImMT60cSw+0OhJPknQPz7dMig+kAsjPi/+KT5k+TA+mmwxPlb6LD4YmEA+aThCPpynPz4N50A+R6A+Pk1fRD6Bolc+Xho5PvtPHT4lnRk+wMk5PjgPQj4DBkE++bA4PktNOT7vGTI+JMopPnCAMT74BjI+s30uPmr7JD7UjiI+WcUnPh1tLD5xuRU+GTUZPmv4Mz6k2kU++oRCPlb5Nj7TQjQ+ttYxPlPQOD78hzA+ZLQfPo2VKj6VjjA+ejwxPuVkLz5qMic+QQAZPo3GHT5ObSo+sbsuPuI0LD6ziTQ+BmMpPgVmMj4Tnik+AQpBPrXOSD4UYU8+HFFnPhooIz5fdTk+3Xg1PgU3OT4wIjc+204vPtGtND40YiE+pRcePqguOT5YzD0+FTI3PvqqMT6XjCI+GHooPi0cKj6NnyM+mtglPoxWLT47PiQ+0mUbPhGvIz6T6zU+x48vPq0bLz6X9Co+vH4xPqinKz7KyCk+ZeEtPiHTJz456Sc+TWEmPkUYIj7eYBM+mlUIPvkTCz6xhAI+9y8IPnaMMz73DjA+IbEnPur3Jz4PPyA+IPgiPqj4Kz5rgh4+TdAOPrVlFj5IGBM+FkwuPuwuMD47fyk+YVDQPbeIyj0Dr7w9v463PXAmwD2SUrk9O+SqPdJqwD1chMg9ifHHPdU6xT2tQbk9ZS6sPbAjpz2SA5I9EvqJPSQghj0M3YQ95GWDPYYDhz2Y3Jc9/NqUPRdkkz2yyK89t822PT+tsT2pc7o9UYOzPXyxpz3soqg9zsKqPWv1nD2fFKI9ODqiPStBlj21p5g9m+GVPcnmlj1ym5s9wji/PV/YuD0VY7w9OWXBPXcRvD0BsrA9ASCdPblkpD2hgq097Ce8PYzXuj3E8qs9VGyUPZYShj0WYIM9SIaCPYyUdz3AooE9Rfd9PRdubz3dgGY9QxNYPX3OTz0BxWw9+SNzPZaSeT1SPXU91ANVPZwDVz3YvnQ9bj1fPXBfXz2o74M9oDmFPVYzhD172Xw9HdNoPZ0Rbj0CcW09F85pPTU0aD1Qin89YHJiPdcCYD1hSnA9AuiAPThiaD2vS1s9zq9oPdNlYD0t+F495bl1PVCEcj2tNGQ9Z6BbPVQfUD3HNFo95cpUPdx4VT1lCV89KmhaPUN7UD0gP1o9a2RlPTyoZD2XzWo9hvpyPRordz2sfHU9UNmCPTrRhj0mHXo92PRQPaFoUz3a1lc9v4VqPSu7gT2aynQ9hJBrPWi6XD3kZ0o9rrtFPUrEVT0It209CsSAPYnBaj3dBUs9WvVEPa7VQD2sESE9pR0UPexwIj020hs9UgoLPWzQCz2XFwU9ZfwFPQxPDT158hI9VH4UPZo+CD2dBwk9zR8MPbYI/Dw+1BA9xAoNPVV/9zw64PY81WECPb0GCT1Ypwk9xK8BPUXeCD2mOQk9gFEIPepOGz1L2BA9zg0LPdtq+TytNAA99Wj3PPBx9TymT/c8tvzwPAaE+jzejAA9mwENPST5ED2qfws9jV4NPf6tAj3Ej/o8/37jPFwBED0PoSs9z08IPa5cBz1nXhU9TkohPVmSDD1/WBE9xcAVPcSFIz2vMyg9czUkPeZyEz20EhE9dp0gPbPkGD27SAk9+l0KPYxXEz1dryY93EAmPZiDIj3/WRg9I7YmPTYtND1n/Tg9ZL03PdFmLT1xhDg9x0BGPdeJST35hFc9L5WAPWaPbj0rnVI9KVU/Pb5EUT3LvTs9amQ3PdU7MD36YSo9yVonPaAhLj1GNyc9wBA5PbefLT3gIy89m/NFPfRMYz2YmXM9CoxTPS0NXT2CAGk9jUxkPfmAYj24G2U9Ait/PVcQgz1hIoc9bnGMPTUNkz2L6ns9sSOEPVj/iT1wlWg9MDhzPR8ldz3geW49M/t2PQqmcD04TpE9hNmhPdxznj0e0KY9PG+5PZSktT3/ea09fkivPUGTvz3MMcs9xpbAPWTAyT3VmMg9Y2DMPWuZ0j1DS7k9A/q4PXyItD20PrM9UCmvPdcRrT0Di649g/2kPfPDnz1NKZ09yRGNPfKfij2YJJU9PeKbPT+Ypj1+dLQ9UYXAPUNvwj2wDcg9h3DEPfjavz0As7U9tX2yPaF9xj1J8bs9yh60PYCpwT34Vbg9w1+vPRpZsD2goKY9Q1miPcM+pD0PUJ49Wf+gPd8lnj038qo9gnqePdfLlT0MkZw9w4SjPceWoT2p9aQ94y+aPUO5iD3wEYM9C9mGPYn7dT1BUIA93suHPfaMjz2zpJU9v3SbPXISlT1XXJI9DZ2OPSbchj0xE4c9y02RPVcAnT1CNZw9/QuRPfxhnT1VgZc9D1CMPUFfoD20CKo9SNGrPZa7rT2xmaY9or6nPSq6mz2VxI89BReUPb4MkT0nSIc95j93PW7qaD1iVHY9rbp9PRcthT0sbYc9H0SHPS5ojT3l84M9ykttPRc6az3tLIA9w9uBPde3hj1PBYg9PdWPPU9UmT2qMKM9CS2kPf1Uoj3cIpw9w9ucPV5dlD0ijIs9RbGHPdC1kz272qs9iZelPbF7lz3jIp499HCnPVw8pz3q0p09Hi2YPTOnlj148Ic90Pl+PflNdj2/J309gAB4PSBwdD2Elmw90PCIPfnrjj3CFIo9uCWKPVmwjD1xxIU93EyAPWJDej0SNX09vO+BPQBThj0r4ms9MDFlPSFzcD3mGoM9aaqMPXUWcD0ydE89p8xVPTr6Wj1mIU49CHRXPZUMZD1yoG89yslwPXEubT0o+ms9clBpPalhfD19AWo9IDtqPUBMdj3rcms9DDVsPYJNZj07lIA97JGKPTVNcD1JjnM9+2dgPbXOZj0KGls9GSFePVOncz2/I149bdNPPQ6zTj0N8Uw9P3lDPSLdRj28eT49gHk5PdiLMT3rvk09QrdMPZlAVj00N1I97fFDPQeFQD1NATc9IoJFPZ/lQT1rKDI9an4rPbddJj2Q+TI9Wf0sPUzkPT1wjD49t8pKPQ2/UT07wEI9A+FAPSbPRD2dFE49OC1OPamJQT0gOkI93Ko2PXgGJT0O4iw9l3U5PTTvSj2OQk095D9PPfRRPT36wD09TpxqPTeeuD1aHgg+1Pc2PrynUj5qSB0+DikfPl96HT4zPSE+KfkgPkXIGT6yURw+m5cbPmitHD5LkR0++fAXPpMTID4m0Sc+/vUiPjs9Gj4X+yQ+MMAvPisQHz4eThg+ZVQSPnAqAT6VZRE+AtEMPoXKgz1yeWw8STVIPJ4daDzWYwQ93q3iPUjQLT5VoCc+8EIePmlFDz4ShBE+qE0cPoJOHz4MQiE+L4UmPrUIHD55Exc+f8MhPt+AJD4elhw+AlMcPh8cUD7mNFk+SVlNPq/VND5yQyg+vS05PtfcQj7kAyQ+WeVSPvEQWz6jK1k+QR5lPlkQYT6Eslo++79kPkSmdz7xuWk+IsxOPnoghj58b6A+QJxsPnGEbj69XVM+HbxRPt3UOT4c1i4+JBAoPm+kHT6aHCY+AGZAPs0INj5jsDM+fJg1Pt/6Iz7ORR8+0sUiPjhvJT5rQUU+nfRYPqSORT6rJCo+sYgqPudnJz5xhxk+QLIgPp+MGD4idjI+hZA2PkDYPT6ClTw+yiQ4PgE9Nz69zEA+q1E1PtwXHz629Ss+OtUsPjAEMz7tbi0+uusmPsNHGz4bBiw+Xgg2Pv0WOD5xlzE+1dgyPn5fNT6nKTU+xJ0tPp98ND7a4yU+u7omPiKXQD6xKDs+sPcxPlDsQD6Zo0k+AlhEPqcxMT6TVDU+qog6PrshHj5MXDU+H99EPs9/QT5UbTA+oQUwPodULD7KrSM+6XscPssfJj4/Ijk+9JwxPgHdMT7nUis+xCsZPq1RJz7jSDw+DIA0PiqwNT5N0js++HBAPgDZOj5e2y0+JL0cPhklLD7upDw+I3JBPuAEMz7YNCo+qd4yPqY4LT4NUTE+9QQyPuafMz5/Kj0+L3M6Pg0ROD6tfDI+rr08PjZzPz4WuE4+tzVBPv4yOT5P5D8+mGE+PhhIPz7kRB4+ctgpPuQ/Hz5LwCw+bwNIPvS2UD7VpDU+o8NTPlpEOT4/hyM+8nsuPpsLJT7xLB8+nNUiPoTBHj4Jniw+VuwvPoLoHT7s2x4+IsImPic9Lj7RKik+KeMnPrbqHj66mhc+SnkcPq3CIz6x5To+DngvPi2aND4vcyA+PGz2PaCJBT56hBk+IbUhPuYILT5VFTc+uBA1PpwHHD7SuRk+suATPuycFD6VsTI+TU4sPmhgIT7R5RU+m90cPh0fGz75lRw+JHbhPUsOsD0BTKI9MJmzPbYAwz3ALbM92pekPbWJpD1YVbg91dC5PU+aqT0cA6U9ft6kPX5IqD38VJk9/Z92PelHdz1kBYY9Ts6KPXY0hz3+zIw9ry2PPeiklT26cJ891mOmPfczqD1PFcM9DUfMPY7UvD3s0609UWOcPeaakj3heo891nCiPTTOqT3715I9jN+NPXpAlj1Qda49kEvCPR3Wyj1t/8A963PBPXBiwD2d1q09aFGbPUvPpT1fbqw9zLmZPTZklD1C0oI9RfiQPZw1nj2I0I8938WBPUehgT3ECYI9/JVzPQvFdD3yiGU9Ki1rPQwDdT2143M9CV9/PeApiD1mVIU9YgOAPdQncz0G+2E9vu+APVnahD2j+ns97CCFPXjTgT0u33Q9kq5vPdUJgD3TGoU9BbCUPbZWkj3waIQ9FamAPehzfj1v2Wg9g3llPZ/YYz17Pm4944JpPYYzXz3VIX49XYKAPdanXT2c0Uc9wvdNPeAtUj19Alg9QXpnPSmFbT2rfGk9HEWFPedFWj094Ec9cmBJPZqdSD0a3VQ9e1ZiPR3paz3PoG89kgtiPacNXD0mn1o9fG1pPdc9fD1gHoE9rF+IPbvIgj3wqmQ9IsRvPeu5ej0QCmU9optzPflpgj2VUn49fHJfPRCIWT0SykU9tGszPQpXOD1V/Ts9tdo2PeFxQz2S5zI96ponPRnvDD0RT/c8eZsJPYvDGD2fuRs9qRoKPR3wDj2blBo9y70MPXcdDj3LDwU9XAD5PD+8Cj3BsiM9ypAcPfhtIz24Bh09zX0ZPZOKDj2PFhg9pj73PFkxCj1upQo95/kGPeT4/zz/MAM9xrMPPYZkAT2uYgw9G9oHPZe5AT2pHwo9UB0QPRUfGj3ggAc9lekHPQe8Bz2azQY9mPcLPSSEDD2u6Ak91CH6PFhrCj1ACSE9V9MtPXyYGT3Zchs9c9ghPW6CKz3rIC49kZ4pPbSiJD1AmRw91UskPSxPID1eYCE9exMkPWb7HD3iiBI9gXQYPQ4fKD1vRzY94UA+Pe3vLD3ZkDA9pERQPehfOT29XSk9Z7EzPQ9XSD2MRkw9puxmPRnsYT14GUo9VrU/PQyOOD0QJkk9PEhLPWwVPz2JmSk9f6Q3Pf2XRT2DYD49qNkuPUlVLj1zF0g9X/RZPZwXVj0lylc9BkVJPYP3YT34B3E99IRjPT3aVD3dNVw9dWJ8PVlgdz2Y4I09hNiUPaylhz1EnYk9aD6UPdEjjz0nJYo9v7aAPeTZbD2GzXA9+H9mPRiBfT0DFIw9rSSaPZ5tnz2V05c9EYGePV2ipj2E66090SytPZghsz3mQLM95jG9PZsewD2gtrc97RC9PfC9uD36krc9y+q3PR7Auj1thbY9Oze7PdTVsz2qaaw98PimPftNrD3qeZ09v46LPe0gij0Tx409k1ORPQy3qz2qdrw9sdG3PdsAvj24oag9enGkPVvFqz2Zprw9ZJjKPe1Kxj1wbLo90unCPajyxT3kSr89byW0PfETwT00F8Y95fq9Pcomrz1+2pw9WXytPYCSsT0f3qU9D0mmPbNroj1MM6I9p7CePU7enT0O/5c9HvWhPTdXlj1tYpA97BKVPaEYjj2DqY49FKuYPYMsnD0i+J09H+ucPQwTjz2xaoM9n7uHPUlLjT0/fYk9E9uIPd0XlD3ZQ5I9AXmRPbWwjT2oZ449soqRPVKRoj2ykrA9twezPWjLsz1KeLo9qw+gPRcxmD1UD4k9d0OOPZ5rhT2IM309MseMPb9tiz2BIIU9uw6OPcwXjz3JBoM9nwSDPc41hj06JW89PitwPds9gD2ZcYQ9R1+KPZ+ikT3gVJQ9HZKQPRyQlj3ynZk9dk6VPX1snz3KxKI9ZKWUPfdqkT1EvYs9dBiKPb89jz23xp49Mx6oPdIvlz06EKI9idKiPYXVjz0seoM992KEPS+JcD1wmXw9ma2NPcXyjD0RFZY9MTqVPTExjD0q45A9CvCRPfuvgz1DjII9kRR7PZDObj07xXk9Qr59PVrhfz16BoI96D11PT5DcT0Y+Xs98VOEPT1Ygz2Sfns9rtJyPeqWaT28Q1w9/ExoPUwNYD2epmU9dcFhPR3dcz1XHnI9VlBkPT+VYD3O4Vw9iUNTPc4YbD1I5Gw9epF0PevYdD1VU3Q9XJ+IPdfshz2L0IY9zi+BPVeIhD38mok9UNmDPdSbgT28ynA9N5diPeXJYD2zfTU9d7MuPfu/Mj2fp0I9tn87PX6lPT1jjEQ9DwlMPfKrUD1YR1E9l0ZNPc0cXT3VcnI92YBZPVpZUD2gvkI9l0U+PcO/Pz2Jkjo9FpZCPfznTT1g2k09gWBLPRNbUT3dF1s9QYJUPcmVTD0S0TQ9e0w5PWDqQT3PJ0U9EgQ7PaxBLz3HRx09C28mPfWcNT05rTU9luY0PefFRT3a2U49AlJGPbUgQj1qYl498zqkPYhrKD7Adig+lOI3PnYvQT41GSI+1TQjPk4GFz5QoCM+C70nPgznIT5x5yA+avQbPkKrKz6ULxc+NMMMPuEhJD49jCs+mZAePjA9HD46LRs+4kcgPtKjCT6O4wE+CuCPPcoJkzwe1Zs9FBi+PXAyVD30fus8cj+WPLbqljxUC5s8rd0mPbGSJj512Dg+UQ0pPugxMT5quyo+DGMiPvZDIj6cFh0+8NgSPpXaKD7S8TQ+WAM+PrvuKD5/uR8+3IwbPiJNND5FZz4+QKhCPibBKz67ZiI+5L4wPpEcNj4gwyY+xwxLPsLegD5ThnQ+C65UPqysXT6S33I+PspsPgzPXz7az2o+BwtRPpKwXD64zpQ+jb+CPsCQPj6VryU+edAsPhmeMT5/jic+TyAePnTeKD4noyE+sUkxPvj+Hz7nlyw+uNJYPk/BSD5Z/jQ+42QtPoIQKD6nuRo+vU8pPkLxPj6J2io+DQsqPofAKj42QjI+zbo0PiODJT61XS4+Zhk1PsknND54bEE+aZcuPq1ULT5B7jM+lTw1PrHvKz4xijE+A/czPvHlND7r+h0+J1vpPZUqFj6vbTY+2oJMPrtxVD6cdTk+8MUtPtb5KT7j4i8+S4AkPuy9KD4Wzjk+33BGPiFDRz74FTc+C80wPjYXNT4PHTg+ehtLPp8TQT6nSz4+3x4iPuFtGD7SvT0+zW5nPmyaTD490R8+YekgPgKMLD6DfC4+TMskPtaRKT46diA+yjEiPs76XD5P4jA+NnEpPvcLLz7vfz0+zJctPmwWIj5iWSw+U9I0PtBxOD4lJjQ+Ax49PjVROj7uChQ+TZkMPrpaDj7CggA+wwYgPrUpLT4ReyY+/rw6PnBEZj7VnTI+Wkk/PnGGLj5DDDQ+ZDk0PnpuKj7amDI+Kwo1PuSkND6cwjI+btFBPhfQLT4xbzI+xnQlPtgVKj5c8Ck+3LMtPvzTKD7mGyU+AII3Pu+2HD5l1xk+b98lPh3nKz5MuSM+f3McPnw8Ij7Sux0+nyMkPstxHT7a5RI+A2EVPpM3RD6BkyY+atgcPjBDDT4wqAs+pNEhPh+eKT5+gC0+jLgJPopfJz7ZNzI+3Q4aPpoFGz6Z8hY+GQQZPmTQEj7TXh8+H/sRPnodND6f2S0+8DQKPhVNFz4S8CU+CCEjPk4nGj4a0xU+UmQfPsxJIz6Flx0+jgWxPY6ppD3sS6U9476uPRp1qz25E8I9hya6PQ0Zqz0+9qI9bfOVPaBHjj06LqQ9NHGdPVmJkT3mEXs9sEJ2PYTrhz3Wb409CumKPYxkhT3PuI09bAKQPd6ihT0Lt489IKOaPejdrj24R8E9cISuPfYgrT03ZLA92z6aPUCslD13/5M9JheePb15pD3UZpI90GWYPXQqpz1gfbI9B7irPWTBrj1zNLc9sbG6PReRsj174qQ9Cc6fPVswnj2qN5E9a8iPPZk7jz1yYIw9zjKcPQjakT2gXIA9+3N9PR2AdT2xYnQ9VcN1PQl4ej0Kpng9B756PWmufD0VP4Q9tniCPQewej1RGoU9v659PbnvaT1HhII93ViLPa3LiT0Qg40901WFPd3SgT2/UoA9LOSFPUyiiT1v5oo9GlmNPeM2gz0WmXI9MfGNPYBrjD3FDms9fPdlPfPQZT21Ymc9ERVZPcfsTD08Wlo9rT9aPTF+RD1w3EQ9iJFPPVA5WD0oDGE9Ix1uPccDXj1IcVk9a/NfPbrfUD1lekw9NANgPQ8ccD2Su3E9qNduPbULZD3SemM9ZMpkPT/+YD3EomY9IJx5PRUwfj1TroU9CYiIPTo0iD2T9HQ9Q8ZoPeJ1eD3gRYA9qdGEPSsRdj2AoF09qptUPSwtUD1bvlE97FNUPRbZRz1Eeyk9AJ4oPUH1QT2ldR8961cZPQ5SEz11/Ro9o+ITPQb6CT1ZxQU9fu77PDnM7TxoYvQ8TYgCPbT5Bj368g09Tg0CPd6SDj0NtyU9bRQ7PfkDJT2oKAg9iikJPbVSEj2dBRI9FIsLPehvFj03Jgo9tJQNPQ8AED3I0w89hRr/PIPIBj2o0wo9r6sFPVqdCz3H/ws9hJQTPb3lDz1tOiU9Zt0pPbHrGz3sIhE9pPMTPSf5Kj2rRRU9x4AAPVzNFT2D4SA9d1wSPZpDDD0iFBU9HpojPeHCJz2AXSg9yJMiPXrRID2PRjE9JFU/PYYnPj0ssyo9RcchPcZBIz1QtSY9+P89PQvrVj07jlU95ZI4PcHaGD1eVCA9OQ8sPezBOD1xFi89gCM0PX7IST05Ozk94ME7PS6NSz1iZlY9N4lUPSmHRj1hqUs9e2FGPQC9Rz3pQkE9BqkxPbJxLD33GjI9cg00PQP+Lz164z89FpBDPQhmPz0+nk49Xt1RPexXbj0cUYI9Al1vPZ4oaj1tlFs9ZFRgPXpWdT0Dk3w9ys+DPRImjj3KHpA91U6fPYSfjD2AX4I9O62LPUgNlz237po9kJGJPSV9hj26MYQ9HxaGPVKoiz1mZpM9rhWaPaibpD2wRaA9cfWnPUs3qD0CtrM9xE22PUFarj3NwLc9KM+3PRndwj0Aysc988TMPZgGyD2l6bo9wKfCPdqZuj0vXL89ySStPfxmlz0ku549l5SQPfk0gz1Ez4k9NkGWPW4+qz1Ozb09l6q3PRyzsz1kyKc9scimPWbqrj0Vr7Q9W8itPTOKtT3fdb89Ipi2PUi1tT1FPsM9c5nGPRJQuj3zerk9MyS7PcdHsj0qz6k9pf2uPb+wrj10/qs95YarPdNrsD2n2sU9cArKPXQYsD1zcKo9Pv+nPVaVnz3zbJs9tDWOPf+/ij3EzZA9MqyOPbTAnj0DR5g9wAaHPafxgz0tOoQ9T3yEPavFhT02pIc9m0mRPSQplT1ORog9sASSPbCgjD1Pd5A9mc6bPeuhpD1b4Kc9F52nPZ84rD22QaA9pVCPPSMVhD2D7YY9swGJPSAZjz3pzpE9ypSXPecVhj1QNnA9soh0PX2ngT02PIU9d16IPTydhT2Av4Y9GFaDPd76fT1bHow9xkyKPUMLjD3wJZU9tlmYPWcHnz11tpc9WvmLPb60jj1uVYs9OOWMPUHDjD3Jmoc9KCGRPfpYlT20J5E9ZWOWPUlpiT0AGoA9XemAPb8fiT3XcIc9CMWBPbhmiz1LRIk9PWmGPf1FkT3HppY9qwWQPShQiT3vE4U91FuDPSxocT3LJXI9i/+APSSKeT00/2o9f1ByPcH9bT3c/YE9IwqDPc35hD1AZIU9nwWOPT2pkD0+o44961qBPY3fdz3BioA9IgV9PSshej2k/nE9rz93PSATeD29dXE9qXdkPT8mYj07zWM9IqJVPTIGZD3A43g95giDPSk4hD3SGYc9Dm6JPRhvjT3wxpU92eCQPdA+kz0J/4g9cctdPXu+VD2cv1k9WS5VPQK2Nj1kwDo91MpWPcnLQD3x3j49UkFGPRNxRj1AVUo9bA9ZPZUiZj2snWY9NzFcPT0fYj3cgmI9KN1QPcFESD0JczM9/PMxPZLcPD0avUM98TlPPZo+UD3Yp0U9hOlAPRxMSj24uEM9ugg1PQXBKD2bhi09ltU0PWqRJT1tTTY9Fe82PRc+Kz0odSw96nwoPeNzJT0BpjM9MUg8PWpsSD01fVU9Nu9RPcayYz1ygIk9IRQVPkluUD6cXT8+GPE0PqpTCT4ppxs+43QSPiRbDj4MViA+b+EaPmKiED7EYSI+8rwbPp5bLj6YCCw+IqwSPkOQFD4h1iE+0t8YPs/gED5hgAo+jtUNPhNm9z2P0bs9UsP/PPPapTx34ck8gGPcPHOc0Tzs59Q8lV+rPLhImzzyGp08fVHaPFAAyj1DPB0+N3cfPoYeHz6Egyg+wW0rPnvjIT56ZjY+TK09Pkv+TD6E1kY+b3Y4PnyVIT48aSM+EiEkPm9wNj5UTyY+1QIUPuWWIj7h7iI+mZIrPsCpIz6zmig++0ckPjLRJD47YCg+ptctPvLrJz6B6ig+MDYqPtSpGD7f1BY+7OIoPuApZD6Ywn8+4eZ/PspcZz7yIEw+bx1APrnjMT6eKzM+3kksPlabNT5JNCo+N8A4PqwSPT6nhCo++qA3PpLoRD4T8lo+/jBRPkrmVD5m/jo+kgMXPrT0Hj6FMzo+qpEpPtKaHT7ov1s+MFiCPvrRcT6m6VQ+NWQyPsmqMz7LHS4+vj03Pqd5Nj4DgTM+o2Q/PvTMMz72hS0++ZwjPsIFIT5vbjg+UAAFPg3mFD7oRSI+jHtHPiU/QD6XbzI+opU8PpgfKj4VTic+nKVBPk16Pj7GGiw+Po40Pn4CQz5J3C8+1sg6Pr0NOz4ifz0+ziY9PmPJSD5A+zA+Vb8sPkpYLj5E0UA+Hz5TPgxtOj5/fyk+jKcoPtO7KT4iyjY+UGI6PhhnUz5w9zc+eNU9PnBdNT4j8U0+hfA9PmlmOD6iXEo+LlI6PjHVNz6hwy8+KgkjPgxAKj6uESs+hX8jPkkAKz4w+EI+8XlQPlBoPz4weBA+diISPlmZNz6S2xQ+uSaEPjy7sT4BEvI9o7wdPs8jzj1wQQc+amgbPjLxED4maSg+cq09PvjnPD6flGw+RD9zPvq2Lj45akw+mPc+PqVjOz4yQS8+MWYqPgx7UD4Q9jw+ePImPosXIj74Wig+/D0nPnVdID7OdSE+o8smPtUeKD68Xyg+VbMfPhxUIj4D0xI+KrYZProrLD6x/xo+mH0gPhBbKj6vIh0+9AAhPjncIj7sURw+GkkVPpOUIj6IyB0+qFEpPnpVJz7N7jY+wmZKPqlJJz7yMA0+oF4lPjT4GT4kuiM+QL0ZPhh5Hz7tvSc+jV8nPl6rIz7X5i0+iU80PpQgNT5M8ys+8PefPRZ0kj34iZc9WYmZPacwpT3sM7A9+hSkPV0HoD1dno09uVSEPQtBeT1iOIc9aa+HPfOVeT08+Ik9kW+PPY7HlT24QJI9qPufPTkjmD3dkZ093fyYPQhlkD0GmIc98hqUPQfrqT34qak9beqZPYfwmT31hJE9rOSOPesdhT219pU9cD+ePQSlnj3cIqA9JCmmPZXQvD18J8Y9dBm8PWfiuD0Enp0961SPPasljz0/OIo98UKJPb3xjD3X4ZM9NKycPV5umj0m1JY96ROQPYjbhD3WCoM9zXaKPeS1gT0lj4I98aGHPcM8iD3ZTIk9AyaBPXxFfT1JGoM91QmCPRuqcD2FMnk9tbt7PZtfgz0FPnw9pvp9PY4RiT0QKZA9lzqMPeL7gz2F5pA9DXiZPV48jj19pIg9Tk+JPVTehT0NHoA9cnlvPf9tZz1ONGU9PI1VPc72Yj3qQE89CYViPQQ6YT3Aj149aeFRPfyXWj3v+3U9bYt7PRN6ez3S82U9NnJVPaqAZT2mlVQ9K7VmPRaIgj24xY09kYOIPc6zcj2sdnI9F66FPQBkiD02MIY9HwVuPU5jTz0Hmms9/WqBPWgThT039og92QOBPf5HcD1ug3w9jzN3Pf1/Yz2XhV09GYNTPbIKQz0LY0k9Nhk+PTI+Oj39GTE98SojPcdeJj0n9S49hXYoPbNVIz0Pjh49pz8hPfTSKT2/NBg9A+4TPTYcCz06mgg9ai8NPTdXBT0v1gU9jBAFPUa6CT36AwQ9wQENPayqFT3NZSM9rMIhPZ+mCj1hVQA9xugRPSB0CD3T1As9ELISPcaRFj0OfBY9HEAJPdliEj3CpQ49HzoOPaqMFD2Eqg09oPwSPSZJFD348xg9BNALPY6CEz2PCiI9VlsiPfQLID39pyM9SwccPWONEz2WHg09wckLPR1GFT2bjx09BE8YPSpxGT0q2Rw9TokmPfC3IT2/+RM9Xz8XPXDyHT3qxiQ9wyEuPXubND2uxys9AbgnPe+2OD2A9jo9WwpAPchSTj1VR0E95A8zPR8iLj1dgzg9bU48PT8rND3fBUM9EntTPQu5TT1oFUg9oAZEPX99UD3t20Y9ObNEPdKdND2TrEs9zlpLPeUqTD3eNEw9+D1FPQVVVT1P5FM98IRMPVerUT30KFA9qO5NPXr/UT2wt0k9zz1RPZrdXj1xP1g9m2pkPdrXbD0zMGs9RyV3PaAgjz0YdIQ9qqKBPWBJij2ivYU9clORPQ49kz2qNpU9icmgPdrOpj2VfJ89JIKHPWNBfj2BkoU9BeOGPSf9ij0kQZQ9V/+MPbHpgz2Quo4910ijPeGUrz0Av7Q93QCsPQsqqz3NurU9+7+fPSwAnD01hq093v64PX3S0z3tF889jvTGPXIfwz09ssU9bzqqPa4QnT1CKKg9uu6VPRDTgj3WjY09l0KePYyKnj0hIaM9LnKrPZXFrz2C3LU9qEbKPX9LuD3Wq6U9+R+mPX8Puj1SU8Y9mLXFPSAs0D0m8sM9fa+2PVOatz3oQrI9mMumPSyMrj1DrLs9b6u8Pc6ksT0vvrE9HZO6PV1/sz0R5aM9UGGnPfvTnj1oP6M9FtOjPaSCmD2hwZA9whmQPRIEjj1wB5k9H2WaPWzumT0FmZ49/kyfPZfMkT07A4w9cauJPVhMij0XXIc96quIPRVJiz23WYk91WiPPdubjD3Ur409U9eYPSYOmD38GJ493XOzPfAxqj0AHJw9qj6NPaE8hz3HeIk9bkGSPQp/lz1Eu5w9qcuVPVmXgD2wgYQ9s/CLPeDVhj1agoM9SwWEPb9+ez3SapI9CvSSPaIMdz3AlYc95W6aPcRJlT0j0o49G3eoPXhonj28SY091lKTPe5gij2K+Y49ooqNPYrQlj26g5M9XEWcPaHxmj2FZIQ9SXqEPW7ghz1Wm4s9cD6GPbhwkT1NRY49ZQKLPTTdjz0X3IA9hCiHPfK2hj3BLYE9xHaBPe7zgj1SY4Q9CPGCPTEmhD1DBIE9x86APXXiiz0sbYQ91v2HPTZ7hz0ki4s99wuKPSbHjT2B2ZU9qiWLPemflT33sp49rcOfPTtRiz0Z73o9ik9wPeT5Yj3aHWg9n093PQGsfz0NunY9JzdwPd7JgT2iD4I9xfJkPWmdYD3dSXo9UDJ/Pd2BgT3xEIQ9mpOHPVb1ez2UV2s9bVZgPRn5Yj0ijFQ9j9FBPXtxQT0JXEU9f55APQEnMT30RTg9qdJDPeAiQT0fNUo9VU1EPbAqTj2FH1Y97a5cPRzPYz3IG2g9S8lSPXMzVT0JI0E9dOsnPUhNLD2C7zo9Y8s6PZOHPz1XX0A9Z2dPPa+jRD0xz0Y9B15GPQcTMj11LDE9dyozPTCZNT1SYjU9KqUuPUijLT1JW0M9V8lEPZ1ePT3hVDs9p+wyPUOHKz2bqzI9oX86PVIkQT0WS0Q9OkNWPQ7OhD1g5O896PZwPiJGQj5g4R4+Zk8XPswHDT45xB0+w8oaPjM+FT4ojhc+XV8TPr2jED4+KA8+YEYsPidhKj7jSSU+b8wXPqKlCD5a6g4+FnwEPjEYgj11YAg9IKARPRoyDD12juk82orbPIZmzTxdKuM8hW/KPJhvsjxFT6g8yG2lPFcarjxrh6A8FimVPK95Xj0pBhk+8Os6PuylQz4XhUk+brY6PiY7NT4CGi0+xDIZPp7uGz4JbSc+T/kqPraGLT5/Px4++qISPnEAMD6g5CM+pjkKPs9kKD6Lrik+EMAwPiJMLj7e+CI+Jc4vPgmKIj5q2hg+7wgiPs2zFT7RIDQ+Mmo+PnusHz4mrBE+XOw2PnPWjj7vwmY+2X4sPqLwST5esUg++jJSPqlARD5ODTY+nc4aPlb6LT7APTM+msAyPhCDNj7CtjQ+xwQjPrS9VD6STmI+uggyPg+tNT6BuS0+TEorPh6vIj6gEDI+xtYTPkjVHD7ySDQ+V3BBPtmqcT7gXJI+4k1uPvz6TT4FLSY+XlZBPlyqNj7h/jI+DUkwPv4LJT54/jA+DhwwPhD3IT5nrTM+AzsLPudlGT46Fyk+F3RgPicTLz46zSg+Hso1Ph0UJz65dSE+h2okPh5QKT7tWSU+UyYpPv33Nz7dRTk+tyY7PkN/Rj5xL1g+SCg4PkNUOj4nDzg+jh1FPj3QLz4C6Cg+wAI0Ph5IMz7CjCs+VGQgPgl2OT4tMD0+JDgmPtOFNj6acUw+7X8/PuJ8Kj5qC0A+4UBEPiyVPz5g1WE+sNA8Pg2nNz4WDDY+wjYpPqjQIT6/ciE+BWsgPvl1Kz4I0DM+HYg0Pu1vMz58fC8+MZEpPtH8Nj5aqCs+xEbZPWGuSD1RbqM8lqewPCIPhjzfcZY8ezeBPIJ3vTwheX49srQlPgX5OT7Kwjg+iT88PiRhLj58ri0+AAIrPtQqJD7uzgU+D0noPYXsDj4hDiY+Y1IhPjEiKD5lViY++MIvPhEvMD5YzSM+Y6AmPneIJz7Cgio+m9MRPsZaED71Sw0+5AAaPvHNHT4HtiE+rcEaPnb3Iz72nCE+JqUmPmw6KD6b1Q8+t3YUPj0hLz6tWiI+DIQ0PlOyMT5CpjU+pQI2PlbAIT4AZxA+mc0QPm6rBz5NASU+UStIPq/0Jj7CjR0+cqIqPmgTKD7iOyw+r3AwPgjcMT5y8jI+ETCuPX9snD3ZdJA9aI2ZPZEElz2OmZc9kNaaPVk7nj36faE9IVGSPalUhT0yoY49VwyOPXtRjD1oSJI9c+O2PUDfoD1QEYk9Uh2LPdBonT0z7pU90POKPVAahT2VtJU9stKePf3lnD3vqpw9FimTPTPDkT10pYQ9asOAPZPsgz2VGJE9+LOjPfrIrj0E+rI9gGvOPQAeuD1k76o9o5qrPSpYjT1FyHg9UPiCPaywiT1iX4w9A4mSPRWXoT269Z497mqVPStaiz12bIc9ZTKMPacIjj0y84092leWPXoKnT3oqZs9wH6FPXMccz1EynA9Mn92PQg/gT2BCYE9nuaAPcVniT2OypI94rCEPdJdhj3V93o97Sp1PSToiz3EMYg9eWl2PeABbT2CjII90k6MPczNlD2Ph4s9zNN9PRX3gD0hZ1s9yLRMPQeoWj15Hl49xQ5RPQLDYj3POnU98kJ4PV94Yz1002g9KY5/PXs/gz1QXHQ9HoZtPXCWdD2Gd2c9nkhpPbG/ZT13wWo9yudxPX5Egz1aIII9X4CGPfOBgD2SyHc9j0lxPZMrgj2bV4M9wv2BPUW7Zj36BGs9qe15PaA3eT3WonU9P4R1PW7rdD3X22U9o0pmPXj0RD3+mDA9WoYrPd+4Iz1v+yE9I7sSPSmRGT1qGxM9QjoNPepbHz1bnCs9cvYoPUcEMT0fiC0983gcPeJWJj261ho9VGUVPYcADT0ZhwA9VWYDPddlED0vYRg9pAUfPYotFT3/Zh89YdsgPWa/Fj05wBk9aIMYPe//GD3tqyA92PAYPY2LFj2MiBM997IHPUsVDD17+gk9384QPQhvEj2DOxw9UIQbPbEZHD0u1h09ZiEjPTceFD1o9iM9umQUPQ5bCj0qohg9+kYfPb5hOj0RTi89du8aPaS/Iz2QzCs9IUMdPRMoFj3cEBs9SEMoPaQZIT01zxo9rD4iPQnDLz2wFCk9NRAnPS4XHj2S0B49OhUiPQnlJD02hBg9EDwiPaPVPj3saTc9YZpKPX4EUD1jGC49w6sjPcqcNj0hu0A9IdcrPZYZMD3iSUY9VddZPUNKUD1b4zw95oA0PSTWTD2Q6kg9AmBJPQjXTT2AgkY9XiFJPbC9RD3YGzo9HANCPXKSQj2QvTg9mWlBPXBYUD0/EFM9nDxOPdErUT0i8V49bSVrPbt7aj3p1XM9G6BxPdz/Zz2THW49EPRxPYrggz3gQIY9PF2APWXldj1ddnU9pR6BPbcjhD1dpJU9qGqbPdpzjj0qxJw9tHSTPVaIkT3ngYs922WBPZCnhT0+ToU9uFZ9PQD5kT3yF5Y9nlOUPbaBnD21EKA9APiUPd7HnT0QxLE9J0yyPfbAuj1PssU9cXzNPTSizT21NsE9oDnEPf1vxT2xcbs9GuqkPYTAlj2IAKk9RqykPaUwkT0+MIo9YbyTPVZEmz3SVJ49IZq5PX2cxD0s/7g9vZirPbiKoj15OqM97PKvPZq/wT3xfcc9hly6PXO2vj0H+709wrq0PQzZpz3eZLA9ydWwPSwHrD1VIqw9G+q9PVmtuD26rqc9qZeiPcnDoz1ONqw9HLGlPYegpD1cGqc9zuubPVjsnT3eIqc9oWyaPVSWlz1b2pk9T7CfPYNhnj06Q6Q9/bCTPVZchj2FoIY9Ss6JPX2lhj1we409c5iRPSABkz0siZA92sGSPftanz2k75o9YNGfPdYXpT2xnas9Jky1PVgMrT3V6ZU9qkWIPciyjj3oN449bXiPPQzZlz30+5g9JnGNPct5ez39aXY9fbdwPbA3eD0Je309qQGJPQPJgT0s2m896m5/PU1kjz1PFpc9xiWYPVN0kT35hY096reOPZm5jz3k/o89H6ORPWuggj13GYw97eOdPZp6oD1IvZw97CuSPRHfjD0Mi5M9eReFPcYQjj29Woo9laKNPSGDjz2/2Io9qmCKPcGFoD0qQ5g9Gd6JPQNajj0UE5U9ByOEPerNiD0AMIc9g7Z+PT/Shj0ErJM94ASWPQx1lT0QJI09gDuFPWC2kj3NSI89sKiIPSpbjT3EIo49LlyRPcYinD3fb5c9//eLPbvyhT0mdHk9IL9gPeykcD2P6ms9Z4xkPVvTez21EIM9QY2DPZFvgT3UbnM9V2huPb6QeT0fPIM92h6CPc7wcj2B+nk959ZmPR/DYz0n/149RZ9UPbCqUz3WSTw9dZs/PQpULT3J/y09urspPTLGLj0Z/DM9lztIPaLUVT3v+FE9nhJVPTLlZT2uZ3w9Q4tdPZArVz2jDk09dGk6PTCULz1qIUA9fvNFPZAeQT1YPz49+1hCPalbRz1vk0s9XrVYPQeCUT0crDQ9zQEjPeT4Mz3rQD89q/tFPbjJOj1oKkI9eUBQPSWyOT12TD892cUxPc/KMj16/Dc963Q3Pc4oLz29Vis9Y30pPSGVKT24B0s98yKAPTqg4j1rXmk+c3BuPp3iIj6Ehyc+XYsmPrGsHD627h4+lwYfPmPRGz5+VhA+pHkSPncNET7YgxE+h70TPoMaDD4T5gg+a6sXPqh7DT6eehM+LXPgPav2Cz1nkZY82ECkPNZhxDyCSM086JXHPAwV1TwCr8c8NWOqPBVAlzyFLYk8vIyVPN7vpzw+9qw8phu6PD9ITz3I6BU+MoFGPmXiOT5/QDE+aLYjPnd2Gz5ZbSc+wwQlPlGaEz7f4x4+wEQmPsbqJj7HMS0+/PovPgH7Jj52ABw++c4HPqMXJz6dRDc+8hksPgGUFz67DR4+IcAxPnFpKz7qCh0+/ssfPjVpPD7PrWw+UA6KPih7eT6HGDU+1VUzPrYqJj7PRyk+6LciPuusJj7NUTc+YmAzPk2HMz5ymjc+H/4hPtytLz4XpCs+MzI2PsCzLj40ri4+Pi4yPupKMT7aJTM+rV4uPnX/Nj4WWy4+5PcpPhqWKT41GTY+44IsPsBqJD5PCCE+FwMgPtMnKD63ODY+76J1PhOCej5iHyE+9DA0PgyKKj7aojE+NtA0PlBSLz6a0jI+LAk4Pnl6MD6PRSs+R/IXPoAgOD5Fs0E+QABDPtaLNT5EZCc+bcomPozHLz5qqS4+QcMnPlI0KD7N2jU+C3M1Po8NPj67bEM+bxVQPobqOz7DGDs+1rtDPqHeQz6wfUA+XFFEPqzjRD7QPEA+k088Pl/GNT7Mcy8+JqMmPvcdLj7Nliw+bxcmPiK6JD6y7EA+WmNFPqHROT5UFj0+8io+PjmuPD50Z14+IF5HPgweTD5IrD8+oCMtPmipKD55giE+IkQ7PnFhQT4kCzo+Za09PtNxMj53bTc+2FA4PmeKLz5LPTM+zik8Pq8aMz4KFs49SH9gPWWUZT0okug8IdaYPAJefjwRTVM8I/yxPBN1XT1QGrY944QTPlstLT7UFzk+vJk0PtprMz5/VQY+yMq9PWNPoD3jHcg9jRoHPujCLT4tbhg+SRcVPnw0LT4RvzA+GQw6PjpWJD6pMSM+ipUxPpA7OD4sTTM+vMg9PiRUNT7YDiY+gEwuPjtXKj6uZSI+JfAoPhzyUj6XqUk+mYclPhWAKD7/8xw+Lq8gPnqWKD70OSE+8hoSPu4pAD6/LO09dbMUPt1PID6//B4+gQ8gPq58Gz4AeSo+lVUuPp4TKz6iOTw+DOk2PqvNSj7Dw1E+/lKLPVnAiz2OmJA9D2aMPUU7lT2mxZg9w4OoPVKLmT2qKpY9R+GRPfgCnT2QLJU9EjeSPX64lz2jPqA90pyfPVt1mj2tzJE9jbeJPXp2lz2zhJg9cNmMPWWxiD1KkYQ9PK2UPU0Klz0rZZo9tvuNPXOOjD0DBp89FI6ePVV8kz2EC5o9SlqlPejMoD3D3Ko95IeYPdoaiD2yYoQ9L/KEPRxXpD2kOqo9SuKTPWJLjz0qtYk9rrSNPbLxjz2Ukok9iq2NPRH5hz2CbX89uQSKPVUplz1gmpw94F6JPYvPiD2vc3o9HdNQPajWVz3oo2U9SjBpPf3agT0ZHYQ9D4yIPd4+mj2T0ZA9RiaQPYbLkD0TtYk9ZSGAPU+9gj3zyF89eZhsPTBdbz1Zt349rCx/PfJpfT1HL2o9pd9iPRz3Rz2Yoko9ZS5GPRwvUT2+z189eZFrPXSYdT2dJGw9H1ltPX0KUj02tVQ9ro1dPUn8SD0Fq1E9HnFqPRJZeD1KdHE9oEt4PQCtgD0UUns9s+2BPcqUiz392YU9VdOCPTKWhz08MYY9tx+UPSTBlj3kvI09mFqBPerPaT3RHVM9OGpbPTxTaD0eBVk9IqNLPUJ5Qz3BvUg93zY/PdhdMz1D5DM9rqcXPfLqBT3PHwQ91WgJPZ9ZBT2a7Qs9pgULPdL4HT2wASQ9VsMnPeiNKj0mqiU9ljEhPQxnJj2fEh095s0OPQyzFz2yzBM9eOoXPXrjJT0p+Sk9Q4opPc+1Ej2x6B09OVcyPWW3Gj0xOwk9NLQIPeOOED0kyyg9zUAcPXMDGj2ezww9vPEVPS1RKD3pCB89LyIePQ7AHT2nsB49/SEnPVjRHj3rVSE9askVPZnkGz3pKxw97UkSPd2XFz00Ixw9J6IQPX94ET12oxo9v+4HPT+GDT216hc9mGYXPQigGj3/Yh89mjYdPYWFDT3z8g49ZCkUPWVJJT3nix09uPQNPQKjID14Uyw9xko6Pa/kMT2BHSA9yGggPXeCKT3JlzQ9TRpQPbkkQT18KCc9nKkzPVsZSD01pjw9nzhHPecwYz3NX2Q9dx5SPcDLNj3PFTQ90p4+PcegWT36+V49uLZaPQ+/Xj2xqFg97IJOPYbAOj0OUj895SFJPXSnRz0Tw1g9z7tfPRR4XT3W3149q7lRPQGBWD1q+2E9QttyPXGNgz1AcoY9AJF9PSCmaD2SZIE9NZyAPV8TgT3+TIQ9wRR9PRiaaz20tYc9E6WIPXhAjz2Y7Zw9JCGVPdM4lj2XSZc9YBOVPfLyiz2Cf4E9PXp8Pcp7gz2hNII9W793PUrCgT1L2II92siEPbs5jT3xOpY9QzaePQsMtj1WMMY9TCDSPZYyuz3ZTL49eLnUPTtIxj1FzK49LMehPVzVmT30Xpg9eaCXPXVQnj17IK09vzWePSYjjz1m1I894tWbPUmUoj3F0q49zITCPV40vT2dKbk9sLi0PfFErT18kq09PJSwPRh4tD2vRLk9ljvAPei2uj3sqas9TYWePbPvnj1qhZY9O5SgPdfHoD0/bJs9zHKnPYw5nD0elJ09mFWmPRtFoj0E4Jo9T/KPPf1Omj3zApo9UcyVPWVhpj1q/qU9hzKXPedtjj3SW5U9JXyOPdf8iT3bt5o9RUaVPdBlhj2ONoI9HAyGPTY+iz179o89uW+KPSD6jz08GYw91IiSPRC1qD1X0bQ9FfSiPaVrmj1s2p89FcKiPfF+nT0rpZQ9KX2PPVMWiD2JxZk9NkWqPSZsoT3B1o49TkaEPQHagT0bvYM9nL6HPavEhz1MW4c93GB3PUyRgz3Q5YU9cr+APax6hz39aIk9V9WbPUiNmj3MyJ09ifmoPVKosT2856g912mhPQUkoT3FVKA9PbKYPV8Plz0dzKA9JRulPWeFlT3854E93FqBPeE1hD22r4o9USyHPYu5fD3oaZQ91amVPdMsiT0oUos9G/mOPZOfjj2ekYo9or+CPVs6gj2jIoQ99jeOPbupmD322KM9IKyXPc1jjz2wb5Q9A4mOPeOckT1ZBYc9rweNPeuMkj1IWoc9bSJ3PRSxfj2fWXc97vh7PdhtbD2JmW09S3ZzPfR8dT1/S4E9q4yOPaTfjT1yK5Q9hpmRPZz0iT2dBIA9ict2PbYEgz00EYM9QbV4PXWIdj1bBG09dHpUPdULTT29w0g9ByRSPe78Tj3Tx049BVRiPeBwQz3i1zU9HJpFPePqQT0RcT89ULFFPe8eTj2Rr2U9+ph2PRJpcD3PoF89xKRMPd9cND0g8yk9kKcpPZd8KD29NTE9mRo4PftmRj2tbkQ9qz5BPTf2UT3Q/FI9QdlKPZ3FOj145TM9aok+PdgcMj1D+y89gQdHPcHqTz2YkUg9kEdMPZv4QD15Hjg9AQAxPWUPLz3V6y09ACEmPTpJLD2EWjA9sJxKPcVRVj1aF2Q9Km6OPatnFT7tKWM+92aFPmU5SD5tZiU+GfUnPvaNFz6MyCA+4OgiPqOAHD5GwR0+Vs4WPq75GD7y9xY+O7D4PX3RKj0C/Ag96R2TPecVBT7K4sw9llUDPS7bnjxgMKo84f2cPOZJoDyZ9o08dKfoPDnUBD09dJ88YzA6PDkEVDyulYk8EVCjPBgDuzzK/8Y8Zqi9PEAsDz0v7e89Fzk4PhPhKT4kDyE+aBEaPrFUHz4IQjk+UzYoPqzaHT4aURg+/NwnPnJgIz7MeyI+/94wPnOMRT6FeCw+vYUSPhXqJz7E7Ck+YmIYPppqGT5U+Bc+mnEfPjAcHD7kdCU+DCAiPt32KT6Olj4+SF2aPoM0nj5h31E+XoslPgyQKD67pCE+9FchPjfuJD7LNCU+iGclPl0PKj7MrDU+0uItPiFSNz50aDY+KlY3PoLNNT5WIy0+rnjaPcAAwj37dSI+2zcpPnL4KD4ruDA+vtI7PrwvLj4l+SI+RsAbPmI3Ez6hCSM+pPgfPq9FJT4GExk+aQowPsfMKj7fIiw+/Uw0Pin6JT4Uyiw+Pns3PtAzPD6Hgys+UtQqPhknKD4cRyw+5DIvPsCcTD7GXT4+UdU2PmzULz7jWSo+cN47Pu3uPj7YuS4+OHk1Pur7LD4a9ik+b4gtPvCdMz7kRUE+AE88PphZOT6pwTM+o3Y4PqDFID40cyY+v2EvPuFkZj4J3FQ+aFFBPr8fOj6AtDE+UhAmPlObLj43Fi4+JFE5PsW1OT5k+Cs+/3UkPlugXT7Z8Vc+cFUwPh6vNz7JtzU+nLRQPodlaj5nTE8+H2g2Pkc2Mz4zLkE+/XNwPmKeTj5/gjM+y9szPpg8OD4bkDU+L4MlPoCFKD6pHyk+gGY0PrwTRj6Mezk+eHtFPoAHXT4sni0++GH4PSbawD1rOn89bpG0PP8ZSDyUUnM8iNmwPQ0JND53P0Q+2XdDPulHND5xQQk+SizgPWlf1z3+sS8+ZvPtPbCWIz73yCw+1gcoPpsRLj5SzyY+GkUyPvaqPj4yADg+M0c2PlaVJD5jDiI+6h4cPurPGz79PiI+dG0rPiynFz4KgxU+y7BFPirmSD4lyjA+c4cbPrZhIz4BDhk+GToUPkJoPj6O6DI+YY8OPrtC5z38vBI+Q5M/PiFYHz6ODjM+EuJBPpY5ND73vjE+hpEuPv+yMD4fRzQ+B+09PiKsSz7FMlY+Et+ePbA6kz0/VJA9arGTPRuLkD0F6ZI9jVePPdovlT3JIpk9PWmWPc+opj1HYrs97ganPdZfmj0FCZU9UA+YPc0IlT3zFpg9VpmaPSBcpT1RAqw9bZicPbhTjT2MqpM9RcGRPTKtmT36pZs9e1OpPaLtoz2iWZI96YOVPcBClz063aA9IEafPZaOkT3mNog9rQeKPSwhmj3fypY9sdiTPfNrmj2IrY09CxCCPci9bz2afoE9KG2LPdTZmT1HwaA9RQiXPbaxlD0vzIw9AxKJPWEBij3xEIc9mmiFPQ/Hgj38BoA9rq1nPXTnYD0zm2Q9ofRiPeMCdz3H6IQ94o2PPc6yjD2I0Yc9BkqJPShrfz1t93A9vyJsPblacz3MkG89YfRiPQPxWD26tVU9dRNhPfFfbD0/AlY9sl5VPbo4WT2/o1k9dcBuPUzVXD2WsGc9SyZ1PbNIez32l3Q9cJhVPUyRSD29AF09rylgPZ1+aT1QHnk9rvGDPSzCdj1ipnI9lW2APbQEfz33wIE9+eBxPUDPZT2udXQ9G8l/PcEUfD1NGok97sGUPRr0jT2Wim89HYxTPd/bSj0JPD89KmozPYDfQD16Ajc99Bw4PU7TLz379Cs9uI4iPUdYEz02RxQ9vf0IPb2K8zz5Mv48bAkRPfKDET0C4Rg9yjknPcRLJj2eiC49X4BNPWjKRD2jIjU92VgePTPYFD1Eix892JgWPfclGz0kKCU9N2EaPYayMT3bHS89tFkbPSMCDD1anxY9IbkQPXsNED1L7xU9YDcZPRv9HD2fLCA97HMjPayAFz331Bc930wcPXfLNj2BvzA9irAcPWd6FD3TQxs9QigkPQS0Mj0qgi09W88kPQpzKj0uixI9DUISPQGMHT29UCU9pX0tPcmwIz3wfCY9QGEnPYIDDz1LUBo9j3IrPdRqHz2GrBE9GugRPTyrHD1gbyE9un0ePea8GD3eqx49eQUbPTtiLT0D5Ss9Gv0vPT3VIj3/Vys9l5syPT7vOT3t9zw98jYwPbnqIj008R89QZcpPXO0Nz1bpUk9vbFdPV5vgD0w64A9O3xfPTR7Tj0FUE49EnJMPSB5Uj01DXc9wulkPTfWQj1geDY9Zfo+PQbkPj2yP0E90WhMPXHBWz1fblo9sVB2PUd/bj2bMGU9LwxVPWOaXj3/J2o9OUR+PRtDgD017Ig928uDPWrigz2isoA9j/d9PeXMhD2Dr3Q9/vNZPWKNYj0sjHM9NOCMPZZBlj1nR6o9B9isPYbEpj1WyKU91BSYPRq0kj2G44o9lyaAPUknbD1qcnI9+8twPdkJbz0P+IE9/jKJPTnikz0Z3qE95sGyPdCiwj00nL89tX3BPdOyrT0da8Q9UxvJPfnOrz07oJk9RIyTPQZkjj3dg5U9ccCdPQRLmj3q2Jw9vK+VPZHZlz0hH6c9mCygPakorj3Ko8E9N6q2PeG0qD1qDbg9+mG5PauGsD0iLLE9fl2uPfCPqD2gR7E9sQ6yPcb7uD2fgK09nyGjPcFCpT0SPqY9g+ytPcecrj3FWa092/euPV4qrD0S/ag910qkPZCxoD1cfag9ExGZPYFeoj2Qbqk9XhegPSzlmz15PZg99faaPbT+mD3g0aU96QSjPUeNkT2GGoU9obWCPbQLiD1Kw4s9PDORPZYvkT3HgpA9GAmUPdiymz3hk5k9wPSfPd2rqz2zSKI9oS2bPTklpz1/xKw9mT+ePTV/jT06aJE93tyYPYdilz0TxaQ9dKyjPfTUkD11Xo09qQ6CPe/ljD0z3pM9dbiYPd0ZgT0QzoA9y52EPeBqfT2wKIE9/xeHPQKskT2Lk5s9kDehPUIzqj1wcpw9KI+kPS4lnj3h1p89ZsCUPaGolj3WkJk9nqmiPWw6mj14T5Q946KWPW2Bjz1dMYM9OwKHPYDrhT14a4Q9UxuGPfH9kD2pRZc9kbCcPYkvkD1NJJA97OmTPR3IiT3HUYI9m0iIPTqtkD1yX6A96/CoPa9/qz2h36c9z+KaPdUhjz0LbIo940GCPcDkfj2UY4E9BiiCPfvGhj3JTIs9Fj6EPV85fT0aOYk9MBOAPbw+hT2sf4099Q2DPfnYfz03Vno9Hu6KPcPhjD3puIU9RJGGPYiUfD1P42g9PkFiPeFBXD2ul2Q9KHpsPQHvaz0Hzl49Fo9LPaPeSD1iEk49+LJMPTHkTT18Olw9YIRfPcoxST00qTc9YONDPf5lSD1U0Eg9gJBKPfIAUj1MFGM9K0JPPQ+/Nj2PZyw9FYAqPZApLj0puDA9sek6PS+fQj0sYD89unZMPf/eVj30LVw9rjJVPVxrST1cC0E9AV9BPXhCST1UzEA95KQ7PaJkND3pTDA9xxJAPfRiRT35BUA9Po8tPY0fIz3IgSY9/bojPYz+LD2ZByw9l6osPcslOz2NJ009OL9oPdQ8az3rMIM94arRPdQBMj5nAFA+HWJDPtYQHz76ERY+Do0hPn/mFD7HlxA+DTgRPq4uGz4rrh8+b2cgPmB6Hz7krBg+WaEDPnPDtj2a4/Q8+GOUPJFjDT3Zydw89GK2PHFonzybEZA8UKWWPA5cpDwm/KE8MbC/PevaFT4vatA9fNeUPCPbvDyad8E8V2CuPMyasDyGYqg8i+z1PNYdqj0PVRw+0Z4uPpjGCz67dhQ+PVQaPkjbED7AqRc+obsfPh3CJT4SPjE+TFkhPjxkHD5WcRY+0y9HPlIqlz5ut0A+/U85PgP4HD6XgiM+kEwlPuusGz53qSk+FlQkPkrYHT5NzCg+C9ofPluGKT6TlDA+JL8qPrmCMj55HDM+ftQmPjADID5SDR4+OvsrPiYBLz7s8Ck+EnMvPibCOD6OmjY+dR4wPqLaNT7nTi4+ItM+Pie9Oz41Sj0+UboLPm68Ej6/aTk+Dlg3PrBvLz41szU+hxxPPgQuLj6OyyY+nsIXPv5LHj53NkE+9l96PsI2hD57/Gk+g+5LPo5tJj65Hys+lq4rPsnqLj73Ly0+1Pc1PiwaPT4lr0A+uX87PkhSLD6UyCQ+S+g5Pv/VKz4jZE0+8LEzPuv4ND7DtUM+Wo8+Pm1uPj7eHzo+IsM1PqC4Pj6rACg+0HkYPtv9KT5QICo+2b05PiuHKz6UdC0+SqMpPuW4FD5Qqyk+B704PqoiOj667EM+ITNCPjbCTz5oLD0+u8wzPv/BNz5Atjo+rE42Pp3jNj71/kI+GJQ6PsWGMD5/30A+Abk3PmhoOz4W60A+g5hIPk7hcT6XJn0+9oA6PhpeJD43iTc+GvhSPuKJPT6CYUQ+yfswPj5fMz7JfT8+99E2Pn7mMT4MySg+GlEtPo2LQT7N0zg+zbszPp4lMD7fWz0+5j00Pgi8OT6XaB8+UXG1Pb9CcjyqKjA8IXu8PLwkDz6pcU4+VPQzPvRRMT7I9zU+kBAyPnG/OT5lWDU+Ps4ePn24JD6rOC0+2vxFPtWfMz4+sic+jLcyPn7GNj7eMDE+zcYlPgJrJD6lUSc+4VwsPqlHIz6J2yM+xCUhPsahHj7KfR4++dYvPicwQD67rkg+M4E+PoZFLz6I1iA+AFccPtItLT5EZzA+zYkJPsBJ2j26XR0+W2M0PlvlHT57dE8+H4BtPt4rND5TeCg++XMtPnzTJz6sDio++Nw9PjJxSz5+Cm4+5WGdPSLMoD1Pf6I9GwGbPQblkD23z5I9JQGTPVA3jz2+ZJg9qZiYPSWroz2GV7M9ql+3PQUTmj3vCpA9/36IPR1ylD13DJo9nomZPflbpz3u15U9l9eTPeG7lj2xG5A9NSKWPS6+nT3yX6M9xd+QPbCGkz1BrJk9hqmWPZ03kz3jaIg90LN5PZdzhD2lroU9C5uRPf5gmD22EJk9RNWFPT89dj3reHk9HN+EPSULgz1PDYA9IW+SPf3ijj3cI3898PyEPQfVhD3S+o499DOOPbu6jz2ESX49+sBhPVgfcD3X0WI9XpdNPS/PTj1ax089I6VfPcc+XD3lKEc9KW1APWkRVD3MqmE98s1ePVPkWz1DY1M9PWFUPXIzaT3NQlc9KMBVPcW6XD2XlWw9mktqPXp1Wj21+1o95iVvPUMUbD337Vw9eDFrPe5eZD0WCV09r6BTPYI2cT27nnU9gfB4PaELZz3m4Gs9ybR8PRG6gD3BmYc9SVGCPSAadD1juYY9gYRwPT/DZj1WImw9EYhkPXouZT30FWQ9wfpqPRdSiT3sJ4E9WGN0PVlDaz3ZDmQ9HSs/Pd7gMz2IlD8921dGPbgBQT1dcUA9lEVZPa8ZZD3aeUc96WwAPc4w9DwUBfs8jAMJPYw6Bz35XRA9+DkZPXvrGT3Ethk9/C8tPSYQLj2vGjU9nbI9PRcALD0JcCc97AUWPSE4Ej3w0RU9cT4XPZi6ID0HxCs9hRsfPQM1LD2WlC49D6gSPfX7GD0IqCk9AiMuPXtaHj3dhy09SZlCPYOUJj0EPyc9MEghPSWkHD2FGzA97cY/PQECOD3TJzM93B8iPaM/GT2t6Bw9XbshPdA+IT1enio9HvArPbAmKj0SxR09lhoTPdHdKT3oRkI9HWAkPfEGKj0YjTE9yGIpPesnJz01dSM9xdQpPe7xHj1RDhE9bJ0TPU5aHT3ASzU94d4oPX0GKj1jTT89WME9PRMrMT1GMSg99pwyPTvKPD3NDDw9fkk+PfU8OD2h8Dw90ngtPa/hOj1iIUQ9XcI+PRoNLT2Acj09F2xXPT2NYT28EGE9ceZfPURzTD0DmzY91/NHPSZbWj33Gkk9lH0nPX8bLj2Qazc9qbU5PUWESz3nKVU9ej1mPUrgbD1WwXI9xbx1PbFIcz0zGW499d1rPc/2aj2P43A9G5V9PW9+gD2YJog9oKh9PR1CiD2OvIk9LoKLPSuBiD1e1oA9DXCEPaJRgT0El4A9MTuBPVmJjT0pbaE9MAqXPYf/mT0LxKU9iASdPbBBhD0hync9CH6BPd4Wgj1kEYA9XgeBPViDgj0crIA9dV2IPYBSlD0WFLA9YOC4PbKdsD28Cp09NamgPT+ioj2I25g9m5GVPf5rkj3cdZA9ASGUPR2Fkz0lxZc9Ou6KPZGRij38fJw9TOikPS1SpD2XsKI90wqlPdGDqD0p1r49CpG1PWAnuD1m1LE902ChPSYxsj10QbY9A7ezPc97sj0zN6k9LuKqPZXQrz26brE9Rv2qPdqXoD3EJ6o96W+oPdXopT1tObA93W+wPSu5rj167LE9Za6xPaKppD252Jw9V3+fPSQGpT2fibA98qqrPQD4rT0UO6c9LnSZPd7yoT3zmJw9ylabPdnGkT2+ro09rruTPe2mlz3lMJs9knSnPQYNoj0lF6I9472ZPdSBnz0gWaw9/5mkPQC7pD15z6Y9YsqiPY1Plz1zXJo9dkCXPUZrmD1O/5k9jTGWPacNlj0RxpU9B96WPd1AlT2C8I499suRPZ+rmz131JA9EmqBPW2Dgj2jo409KpuLPQYHjz1Wm5g9zimcPRf0mz2m1ac9xR6nPRd8lz2TwJE9OgiUPaVTqT3HVqs9fkCYPWonkD2VUZI9FJWkPfS4nD1zipI9UFOPPQ0viD3znIQ9WpWHPSYaiD0iY4k9y32QPSy+lz2kmZ89u62iPWiloz2MS5497gGNPXQZjT29C4c9/pyVPfvenj3I+ac9jIGhPfG+mz28r4M9l4hzPbw2cT24im89Fr52PZtHgz2ia4Y9xF2EPTpsjz1Fxo898ASBPYvphz3/YIY9HMaDPVFThz0gDIk9+raLPaf6jz1NxIA9c+6KPQv9hj0XK3Q9xQFuPbeYYz2nsVY9wUBXPUd8Vj0iy1c9YcJKPdYwRz3P0Tk9A8MzPTplQj2JClw9bx9lPZDwYD3RN0w9JY9MPU1HVD31k1E96HRYPV7XTD0/pk493KFFPbNyQT315EI9VJo8PSkXNT0kpTQ9vl0zPf/OMz2ZQEo9TQFcPXWaTj2Gwz89Wgs9PQLTQT2Ugzw92Tc+PeyGPz1C7z49NCNAPfnrJj3j6jg9XtpCPZrqPD1YnTQ92F0yPQG+Jz3EYic9YhUpPaggLj20Kis9JYM4PaPrNj3idEc9Ij1MPQFNQz26DFU936lmPb/Ahj2Q6ug9lQlXPpFUVj4IeEM+L/wgPmNeGT5paik+71wyPsejKD7lxBk+HugXPpCRHT4Xbxo+0V4VPnfTHD7aDxk+S30VPvwnBD6O3bo9f+z9PFjEcjwdwZo8ZNCaPA9hhDzpxYQ8moGcPA2CnDyjCbE8IUwBPcWJID3xsgk9pcO3PBp9vjy0mrw8KYSwPDfcpzyFDZo8cqW+PdhLWT7UcDI+YYgRPpY1Bj5wqBU+0MkdPiGhFj56GBk+7DQoPtR1Lz7yCjA+0/0uPh76JT6yeRw+cUcWPtyJFz4dxyY+PA0jPnj+Fj6pjiE+P0oePsTGED735hQ+2jkePqSdIz7/ZCQ+6hMyPkxWMz7yxTI+ftQePoYfIz4c2io+Sl8tPsSsLT6S2CQ+99kvPoS/KT7t5Sg+m8ckPiIvKj44DTg+rI4zPkdQLT43kDY+v4w6PppANT6JUTU+w0smPpVlJz58Bzk+IV1IPh0mOD6O/i4+5WhJPj0xMj5ioSQ+/KIePgTFEj5u/Sw+ZcxFPocESj46qZE+5ZeYPu+CQT7tQzY+WoQ2PhcKLT4QZTc+UTozPi3ZTD6gljY+BgFFPvRkTD50P0k+2ns+PviGPz68zkE+yIEuPn50Mj5QWlQ+6tlLPrV2MT7IQC8+xHEzPuqUPD4Pqy4+MVsVPh6mMD47bj0+G5I7PhrqOz74UTQ+8s4hPgOJGj4p9Cs+U9gzPoZcPT7Puiw+lH5aPtExQT5oki8+fxk7PhX9Qz7olVI+pR1DPuG+Nj4H8js+owU+Ph5GOz6S7DQ+8K88PlD/Pz7OizE+FGVvPhi4fj4L82g+/vtQPpWuVz4wQk8+O6U7PmFSOT7CnkI+CosyPs9SLT7t+DE+GTo4PlkcOT6Bnl4+xNhXPiexRj47e0Y+aMVBPgNPRT6tVzw+Je04Ppk5Qz6rkSw+1nAYPuYhzT0ASAw9qPwePNCgtD1Uzlw+OAdLPiKXJj6HZDA+Fsk7PsUjIj5wpDA+jsdFPnAxMT4/ykU+9zJePr+MPj7UWTE+7agjPrucMT5N8zI+sTgtPhlGIT4vTCY+CYgiPsxNHT7bqyA+dw4iPgRfJz73lSE+YXQwPishRT5/okE+AbYyPu1TKj4DrTA+QnwzPm4lND4K1zw+AqZJPkFgRz6/azY+4W8tPqGMJj5aQ08+9HdcPorDOz47Fis+lWUpPoE0MT7vsjY+xc5DPuHPNj6dUE8+mZ+TPS9Tkz1cKZo9SuqTPea0jT35paE9d2utPefPoz261qE9t1yaPZhmnj2AyKQ9BMC2PVjznD3oz5E99cCKPVuShz0bxJE9MNyIPTGsfz1iaXs9J7uLPY90kz04cpQ9b/WXPXi4pT3jrLE9yI+gPXTbmz3SJ54921mLPSI+fD2XqoA9DEqEPUQFhz3iWZI93oSfPfnJnT3n8ow97118PQx7cD1h7Xc9hHiEPXVAhj1yVYo9rleVPRQfhD1DgVs9rspmPbPsfD12qYE9FLRvPcpUaj2yeHQ99nBVPeeSVD1c9WE9OeVfPbwcVT0gMko9ZGw9PVLDOz3dmDg9l8xEPU+Naz1dWn49R3lcPVLhSz3Gim49Qsp+PfkHgT1fvXM9GWBjPX3XVD2+g1s9VW5UPTYBZD2Dl089HfhtPco1hT0jrG89cxJnPb5gdT3LTnE93C1oPbaQbD3/Y2E92L9gPY0Tcj0bq389T7WHPchNgD1eBHQ9fx1sPZ3faj093XQ9obhePcRAWz1F3mU9H1l+PWGdhD2kxWQ9ZiBiPRunaD3alUs95fM0PaiHPD1JJTc91w85PaHcQD0lf0U9+HZGPZj6Tj3FCEM9AtcrPTA+Jz3Lahk9Pb4UPWDXFz1BNQw9OPIHPUYFAz2G3hk9EoApPeEbJD1HvSg9ZGs5PQflND259jI9X6oxPZt3Jj1txCM9OxkhPcBgKz3nXiQ99zsmPVemMz1aEDk9nOk7PQOAQT3pG0Y9amVBPZ0rNT0+jUo9QnJMPRnYOj1IdUE9FFs/PQzHKz2ChyI94XwiPZlhKz1IWjg9rr0vPVJAKz2XoSM9ekMhPdM3Jz32Uyc9Mm89PTMgUT2tGDs9s6dFPar1Mz2tvCQ9YOAnPZhuKT3ROiY9TawyPXKFOj3SLzA9YNItPViHIT0kric9krYlPYosIz1+zS49PlwqPTFkIT1tOCI9QuY3PdCBLD04uyY9a9c3PWXnMz0AgDQ911w/PQI5ND0aqz89bWFHPfV4QT0/ijc9wec/PRGEOj3gnjk9w3tBPfZ4Rz1WOz49z5lGPT0LZj0JdmY9AeFJPSAENj0KbzY9r7k9Pa5fPj1U7SI9MIsrPVtRPD3sBUo9VQpOPTc8TT1eZm09rzNwPT7Bfj0/z3I90aRvPfyQcz1JjX49hIB5PanyeD1GWWg9BR5rPYHcbz1FknM9nj6BPQvJkD3Onpg96H6fPUNQpz1J4K09hvOaPWDckj2kCog9k7yGPQjZkD2hRZU9fzuXPVxEmT2yJZU9tgCZPf8VnD0TepI9bPmKPe1SgD2XL4Y9zJKBPRIciD1HNZI9BBGEPbiEij2d3ow9Cfp+PXnTjD1WAaI97n2pPTpWsD0y95w9fhuPPbWilD1P4Ys9rbKKPSxyiz0ekZE9xDyOPfrQkz1xQpc9uzSiPWlzmj01oqA9NEmpPZx9xT19utI9cPfGPcX4uj2l2ro9a0CzPR+rwj1Di749/larPY6aqj1Qp6Q9ApeqPYD9tj1Wuao98xauPbFdvD1E8bY9J264PfDksz1DFrM97bSuPcAJpz0sVaI9MAybPcbimD0oiJg9NRaYPV7SnT3T1549Z8uiPUTQuD2OL8M9GUy6PRWduz2ao7I9ax6fPZ4ajj0/E489HyOYPTSmnT0hVKk9qS6ePUUOmD2i9J89R4OZPWCxnD0smZ892sSXPWklnT3q95I9AGiPPZbZkz2BMpo9Ej+dPSxXnD23IJ496rOfPTM4nD1PLKY98GCsPSNcpT3wOp89p5WjPYXInD1YAYk940mNPe37kT1sepI9dMCRPbZ0mj2LnKg9AOmsPXFpnz2zG4w9Z06FPWFnkT1+jKQ9WpSiPZT9qD1u86Y9useiPXbjmT2ALqY9EtqRPY9Niz0W4Zk9z4iYPYDrkD3l2ZA9+tWKPdoilD3HwJo9odmePbClmj0GkqE9LnSoPS/kkD1Tz3s9vnqKPU5wlj2IDpc96guMPYSphj3PW449gRKTPUjUgz2WYWY9XYpiPb7PeD0nSHY9wDV7PamibD3Hq4M90fOHPdj8hz37u449646KPSRxeD0nV4Q9R7iWPZSKlz3qIZg9VYCVPX0fjD1LiW89WQFmPVBCaT204GQ9Fe1mPSlDeD0/Y3M99fRePb5nUD1EnVA91c1NPfUJQT0UTUE9cvxRPRjSaz1ClW09OkZZPZzCWT2Fs1g9w0NdPcGbSD0qmzw97E9BPdUgRD3Iqjg9odUhPX9JKj1kVSs9ioEzPUlsNz3CRy89Rk0qPZ79Lz0uZUE9hzpBPVF5LD2Zfyk9PgA5PbgcOD2mmzA9CilFPSN3SD1qt0M9AeQ4Pf+PRD0j21g9iDxdPccYRT12Nzw9bGU8Pfz/ND3+VDA9ahwtPd2tMT1cSDc9VFE0PY6fPD0Rcz89PPVAPasoMz37K089tIVNPfF+ej2u2Bs+BlRtPrjcQz7+o0U+mQocPrB9Iz4R6SU+4pkmPvhaHj7/vhc+CsoSPi4pGj6C0iA+6UMYPuwDGz6Ucx4+NzUdPmP/CD6IIgA+T6zUPZ4UHD35sVA8EDk2PC2MXzx5AZE87MujPFJdmDw1lKU8xTG6PK+2zTz/qKo8/7yZPH6VmDz2xKE8T/2mPOINpzw64bE8TZn6Pep9TT4gVns+mnuIPjBzQT4d5Rs+rbQUPh3gIT6zSx8+YAknPq/mLT5PtTs+CwxAPrS8Qj7nfCI+2RQcPtwSCj4vGhE+L8wQPksVIj7S9VA+L3ArPiuoHj7HTx0+DAorPu68Lz5bLjA+laooPuWmKz4FWC8+gxkcPqbEJz4MHig+H1UmPnbzJj7Q4C0+XIkcPtueIT45Myg+DI4iPrAtKj5TqC4+J8wpPoVHKj4Jmi4+f4koPj4ZJT75gi4+7YEzPgHmID7hCTk+AMQ5PnlYLz67iDI+ha85PqqmJz4QDSs+eBM4PurWMT5CPDM+V6UePq8EFj4CVTA+NO0yPm0WPD5MDkM+ZgRIPmJ2OD48h0I+4G8uPlzTLD5K9kI+9AlzPgtHTD5N7D4+LHI/PkBNLT4aTDY+0WM7PlUQNz62wDI+jAc0PtRWKz4V0zw+nDNHPv9fKT5UoBY+ghsuPi1ARz7dNis+UZgcPucFHD7ADDU+KRYtPh48Jj4ELkY+MUU2Pun1Qz5lvzw+zLNEPlHcMj71LRg+mw04PuP+Qj5sJ0w+yLhGPilCRD6wmEU+3ZpEPsvYKT5nICY+WEMvPoiOSj7O/zY+yA1JPsT0fj4YIno+1IZzPj4hfz5rIG4+VGBPPmQ+PT5nZDY+Oj9CPgyqTT4teSI+7t5APqhcWT4DQUg+2CxIPvLTSj7Fo1g+W4NNPqEsOT4v4jo+bWk/Pu8aQz7EvUE+jhAvPkNgKT4iUxE+70GQPYQv9DxHfvU9l2lhPizfWz7dakE+YokwPp7CJD4LaUs+cVRiPlySOT4MdTI+rdY1PoSeLT4W5zM+I9A6PmQRSz5kLDQ+cqMpPlTrLj6H5C4+130pPnmKKT4ukSo+4NYqPt+nIz4Z/w4+qLsRPtufLj4DLz8+0sMxPsivPD6TmTM+YpQvPm3+VT4jTmY+gnpePoEiUT6NnD0+Y2U/Pnj9HD7Yzgc+1RU7PucZKD4u/Bc+S8A4PqHHSj6SskY+DxdEPjcMRT5HhGo+/cqWPZ5PlD2SvJU9A26dPXiJmD1glJo9qVWhPXaZmD3OhqI9TjCdPeQwnD1CaZ09bRymPf00nD1AvIY9luaIPafpkD30t4s9Q7qHPZBsjz1RI5g9SVmaPZUOkz23IZc9VgWRPUGikT1HH6M94QaYPVcblD28S589oR2iPfWelz2h3449RtORPXuXkT1NEZI92QKTPXeTiD2D2YU9T+KOPdRHhT0FYGo97jV7PQXshT0pCHw9ArZdPZxLXT2//WM9ZMJuPWhwUz2AsWE9bX5cPd0xZz3RF1g9CndUPZmebj1cV289sJx0Pdb1Zj1Z9089boNBPTOfST2YqkQ9ptE8PY9uUz1VNGs9MLRlPSN6Qz01BFo9kFdjPQesXj35Ik49O4A6PavjNz0u0Es9Gm1WPcdSVj2WplQ9qO5aPQ2pXT3hZmM9IXF4PY12jD1cin09tMlfPcquZD0yXHw9leaLPd6heT095IE91v1/PUVMXz2QFls9TYhiPcEzWz0VPV49gHNXPa7yUj3EmnQ9JRt5PU6IXz2zWko92+ZDPcsUMT2Zmik9X9QpPbJeOD0A6TY9amk7PUHwQj3DEz097U07PZ0dMj2FIRo9Z6ULPfmzBz3UCA898uIlPaIcJT2OvBk9XwQWPe3oGD3zRiQ9rdIjPRIEJj3qHzQ97hc6PTjLNT2hzSk9K68pPZ48JT36GS89xYhAPZHHQD2xdEk9gU83PaCJQz1bok49sdM5PUtAWT3XLVY9aSdTPfF1Uz39MV49QTBGPQ+UNj09AkA9E9ctPWSdHj0k1Cg9sw8zPVtaMz2SaSc900QoPa2gLT32qjU9pRlGPVO1Tj2pC0Q9v1dNPaKkTj2o8UA9djM1PfAiOT0Qojk9jLgnPX+vLD3mIB89T1osPVReLT1Tqy49VAcpPWysJj2B9Bw9NsUfPWriJT0nOzI9M0w3PQl9LT0ZICw9wTw4PQakMD0SOTA9qg9APcJeQz3f/js9g39FPYAfUT1aOlg9NVNZPf7tTD1NKUE9vdM0PfcdSj3aJ0Q9QZUqPYkoRT2xqlI9xOBKPRYnVT0CZEc99Dc1PTGwNT0EykQ9AHk7PfPZMj3erzQ98Ho9PVugTz09p1w9fMNOPcjAUj1n5Ws9Yqd0Pd8RZT15enE9pMiBPcRmhj1pj4E9Udl9PUXzdj3RA4A9bYZ+PWhcfD0odYA9Z4lyPWNRjD2xI5Y9eAOWPQtLnj3KJpk9qxKOPf5Viz2NEYU9VHmBPcySiT3rIIo9JaSLPRNNiT1FyJE90f2gPZFFnj1XTKA9LQ+YPTMpkD03sIs9UM6FPbE5kT0J3JA9Nu1qPTXxZD2xa4Y9nr2UPeeunT2d2ps9zLeMPV8dfz1++mM9xPBlPYD3cD3LzW49ojR2Pb+Qiz08ZJY9Ft2cPVbDpz29X589g4mePSE2pj0aBp499FetPXIQrz2Gzr89GFnNPQiQuz3ym689PBGuPZUFtz0ThLY9uAS3PbkZsj0nirE9PQG1PcQEsD02fqU9IxKlPdVDuT34Rbo90gy3PaUouD2LZ689jLSwPVBDsj3qa7A9kMulPaBqoD3CXqA9tgqePQKjmz02Gag9ZB6/PWijwD0s2Lo9LJi7PZFSpD1Srpg93L+RPVPOlj3Q64Q9aDGQPXkRmT3obJQ99a+RPbtalD3Yw5I9AECUPeTvmT0GzpQ96sabPTaQqD30p5o9V1qQPSjGkj0PsaA9AtelPQEkqT2sS6c9sAGpPWfCpD2IWJ49DLWnPfj6oj2rG5s9OC+UPdMWlD2BnIg9G+WHPZBNij0qVpQ9K8SWPTlOnz1s9aA9ci2QPcRqfj3FJXc9LuuCPet0hT1DrI89/1CSPRzloD05/6w9r0KuPQezpD3MeKc9yHmjPYAimj3ltJ89Aw2pPSJOnz2iz6g9hKqVPW95jz1/R449EgGUPZsXpj0Kgps979yGPZtdez02kIQ95o6RPe8KlD3ZSZE9MYCTPUuokT0tn349x8lqPfbJaD1njW89rR5wPZISfj0pq3w9cbNxPbArfz0+7oQ9yMqFPfQliT3xt4096Q6KPccqkT0r8J49hnSoPbngmT0VS5Y9+FKMPewDaD2PQmk9NKp3PduHej2Co3s92HF0PZSUdz1efGM9YRFYPZEnVj29wVI9sJ9NPaWZST1U41k9kOVkPTKTZz0w9ks970E6PfGzTD0EJUU9e+syPWjrKz3Gyyc9rudAPfyuSj09Ljc9DH0oPXC9Jj1fqjE9T0g0PUmeND3mdTI9R5Q1PS3BMT3ojTE96pA2PYpkPz3gjDk9RdhKPdOFTz336z09bqQ+PRb5Sj0iGUU9waE/PU4LUz3lgGE99UhhPZsMPj2jqjE92qA2PbOLKz0kJjI90uQwPYBKKD37mi49WbM5PeH0TD14Hls9Tc9SPfkoRT257yo9f8kUPfbsOD19Kso9TCYtPufwOz55t2A+DblDPjXmIj5VqzA+tT4sPpAkJT5y+xs+uIEbPkgUGj76Jx0+0VsUPpfwGT67MiE+P2YiPhtBDj7i3RE+A7oJPmn48j2YDEs9hhw+PCsdcjzmWpA8XDuYPNZRqjyRNao85PGePKVYlzxXsZw8uUyhPF4hnzy2zJU8tYCTPNRmmzyqGDk9LncXPltZSj4maYM+M/hxPry2aD4hgiA+WVAaPniODz6PPBg+HaxcPsYpPj6Osk8+9Ko4PoRqJz4tuBc+4PAUPgSBFT6lihU+/LQVPg0KJD6SyS4+4fEjPiBGFT5UdCA+zzosPgjSMj6n1jA+oj8wPgM4ND5ssjo+xDc5PgIzMT5ddzs+e/MsPsPPIj6zhiI+DWkYPg3jJz5P+TY+XwIxPmujLz75AS4+T0IwPgFmJD6ECDE+YVI1PrfvKj7NXio+wtc7PgO/Hj5tuDs+2nlDPjFvOj75NzA+R9AnPnW+Kz6MOko+ucRDPhXtMT5U/SA+r+oWPqlROT5sNig+ORkvPhBoPT4o8iw+PGomPqnRJD67Ghg+DP8yPuXdWz6Ej0w+YdNlPiuVYT7XwT8+F1s8Pq8vPD61Yj8+O2k4PpuCNz69TDs+6zcuPp8VMT7oHz0+zwsrPnBzHz51kyc+HBg/PgxhQD7V7CY+3/gfPvEhCT422i0+NNslPhV8Mz5l61c+PT82PkDoFD4XVyI+7OcoPo5XMj7TlzE+BpYvPsAVKj4rQy4+ZcAuPgU/Oz6vPUw+3bVXPiguUz7UWjk+2BA4PlUtPD6GA0k+0AcyPunfNj7gclE+RZ1LPhOYWT71eVU+UbdFPh7zMz4s9ik+3/c5PmXiPz4fujs+U2IfPrRpNz4r3Sk+uA0xPlksST6VPVM+Zto/PlcbMz5zySQ+ADEqPuxvLz7BSyk+QEkkPn0wKz6p4CM+1hAjPl6AFD6l8jg+0nNcPlQfRD6LUS4+rXlCPjT1MD6cVjU+TA86PqLFMT6uFi8+1D8uPpKNOD4mcS4+XYgkPukbOD4VRTY+jAc0PmAoOD7f9zI+nuBFPv+nOT4Ukyw+bIIdPkjALz4O20U+hnQ2PjDPMD4520c+qfk9Pgk4KT5fIiQ+ipc6PjVqPD6HKTY+KF44PsfkPT4X/zQ+bk1GPmjXQT6aGjI+A54yPl8tFT7LCzc+Q+FLPo6LQj6hXTs+qA9CPj2oRD6OTj4+vb2dPQ/ulz1UP6Q9eqGUPdnbmj3o8pQ94TCgPRyHoT2eoKA9f12aPRhrmz2g35U9+NuaPZzdlz23T5A9fs6LPS6glj23Ypk9wECUPZG8mT1/55Y9+dSJPcAoez0jm4Q9c4iFPS7viD1ujp490cObPaVonj0ez6A9ouGVPew2jz3GbYk9R66WPV8bmT20hKM9HASoPcyCpD1cfZY9fbiHPfAciD0bSYg96y1/PYH7gD2unY09cOJ4PbCHZD2MVms9pFFePZh8Vz3km2Y9OIt+PWgsbj0rck49nN9RPX7AYD3ruWg9IoJnPVcnRz0oY0I92VFEPdd8Rz2Kj0o9zVJJPXOrZz2If2w9lXVTPRAqRz3DsGc9PcBsPctSUj0wGUE91QFDPQFkUT3cJU49hgBHPaUJRj1P+lA9ohJqPRNdcj33aGM99Op7Pd+AcD2HMGA9MqVRPaRyYj1MxYw9mN2BPcwCVj0LTFc9PIxGPd60NT3oZzk9SUdRPT+LXz365k090L1WPUywVj3UgkA9ZJhHPR6cUT2kM0E9j4dRPZ+lVj19Wlo91cNNPY0fWj3U+k095FtgPavXUj16zT89MZxHPfXjOD1pvi49mHoePZmhEz3v8hI9p6IfPTmSMz1YqyU9LTMePeWmID2fjzQ9aOIrPfvWMT2MMTw9E78+PcvfMD2+qx491TMrPQ7qNT1QhTo9rwZUPSlMPj1cwD89oQcyPSlfPz1hSj09v0ouPUcpOT2g4Tc9SFw/PYRfQz3fEkU9LwI1PUC/Hj3D9CQ9CUhAPVDsMD0wmiI9vgYePbgrNz2lVzk9JCQ6PXLNOz3s3D09+6tTPZFRVD35gEc9keJBPfoCSz0dDUo9UJM3PQpuLj1PKC89fr0tPX0jJD1j4Cw9U3wnPZx8Nz23NDA9jlksPZ2qIT0MnCU96p8VPYlvKT0WS0M9NKVGPXtiLj1cbDg9+g82PY4JNT1Xhkg9WNE+PcqWNj1KvkU9oVtKPRLmVT15jkE9XbBLPUfGST0NVEg9hT1HPVBCUz1d6zM9TJA3PejQRz23b1U9rGldPYgyXz3cWkE9LU83PXf7Lz3eTj49CvpWPQwOTT2FX0c96QFAPWNTQz1Qa1A9GnNXPbAXSz2sm2U9oyhiPUMRXT1myF49mMVrPZ9Kfj2i3YA9WI2JPVWEhD3j9IY9FauGPQvMiD37g3Q9uF59PQskjT1LBJI9ejOXPWl7lT3X4JM9PZ6QPcXxmj3sXZA9xXl9PSIngz2PfYs9Zg+NPa1khj2U3ZE9U6WQPTxumT1hPps98PyXPVT1jz1bO4I9PT2NPb62nj0ksYc9M/BtPbAHZD1OloY90fiTPVQvgz28jnU9gBJmPayWYj2ONm49GD2BPR6+iT2Jl409zneWPVSFmT0gNaY9X1mcPbPjlT2oHZ49xMSePcc6qj20AKg9eWuxPZ+kvD2fPbQ9Ho+pPTnStD2BZrY9V3iuPfkMuT0BPcM9/hCuPX11nD1gcqE9OxiwPUZRqD2p5qk90LqsPTkmpj1oN7c9bJi1PTn7tD02Arg9Q+m8PdAcwD3KLrg9h4u1PX13sz3TWq09sTWrPeCasT1Pxro90he2ParExz16OcA97BqxPZPhnT2HvZ09ycuVPY9LoT1GFJM9k9aaPbTumT2+l6o986e5PQAmsj2TdKU9FxegPXSLjT21mo09cmaTPRxSmj0CSqA92YOoPdH1oT0rHqU956+sPTDGqz0y/Zo9in2MPVGckz3sKZ09MKGZPV7roT01C6k9y2ygPTbEmj24A6I9102hPe3fnD0XX5s9zAqUPdwziz3ViYE9QJKDPXPIij2lbog9IEiUPVLalz0EZY89w+COPZ+hmT3GIaU9VtW0PbcWuT2p9609kW2kPfNkoz2DjZw9BAWhPeKGjz3RVY09rI6UPbxLlz3rr5A9BEGaPVjXlz3ni4g9ldWAPd6RjD0JPJA9gRaVPfT+lT3cno09l7qIPXjXgz0uHXc9+h54PX6ogj3bpX49Wul4Pa1AgD12XIA9x46DPTPnhz3Ew5U9/zuXPdI5kj0ex5c9FGmTPQoMkT2yKZg9NaSMPdFefj2h2I49IMaGPUdXhD0et2w9CDRuPR7ggT0063k9z3VsPV6kaD2MuU49b0JHPZc2Vz3IxlY9CzxUPUIPVT0YCFk9hFFXPW5zRD3QiDk9c4UzPUjONT2sqyw9HxQlPVP7Lj2l5yo9u6guPTD5Oj0ZdTA9K30uPX2xMz19gVM9VmpHPctAOD1fLzE9tdQ8PbTPQT2sP0A9SgM9PZptUz3RcVE9SN5YPZIqYz0OQ049RTY7PWsaQz1n7Fw9ZL5dPUBTXD1nEUg91ExBPSVVMj0KyC09qI4uPbO4Mj1+MzU9Dc0uPQFwNz3/rUc95eZXPVyKZT3U+GQ9ZCVaPecjNj3MOCA9EDc4Pam2Uz0kwJk9UDEhPqlxRj4N+Vk+vn9FPtwgIj7tICM+L1ElPlGjID7MTxo+bhAjPrihHD7FqR0+CQAQPuKvHT6ZXhs+ppMVPqHzEj582R8+TzkTPsYb+z3u0Dw93ixpPAOKiDzkr5s87d6gPOtktTwrC6w8poCXPMQejjzVroY8uk+SPMM5jzzvMZQ8ddKXPGnCSD2VPx4+i7pLPvrNIT45cBw+cMoTPmvkHD4u+R0++4orPkX0IT7yLRE+YpdWPomjWD7ad0U+3IkiPpwwNT7NPnM+kuxbPgVfOD68Hi0+oRIfPqBfID7txho+aKkrPh0qKz6nthw+tAomPnPYSj5ID1A+B8pFPv4LXj4Z70Q+Bb0+PkDTKz6h/jI+wL8rPoPpJz6vpx0+sgcbPvm4KT6OmkU+PooyPnCPGj7yliA+ffMzPsyIJT5aiC8+ZjY0PmijOz6sFys+B6pAPgy8Lj4RuS8+e5Q1PqRUMz54NCM+t9M/PlYhSD6p1z0+oMMuPk/PXz6IYEM+UPIoPo4UOj6OsTk+WZo2PlwfMz6CZDc+QlYkPtSAFD5rtjQ+cH5oPlsbVj70hUQ+2kNHPoNANz6Ocis+nogsPj2/Rj6aZ0k+/xNGPm5sQD6WzkI+Xsg5PijTLD6v4DM+a5YrPlSLNT6Qn0Q+vjc7PtEyOz6F2To+qT0oPiJ4GT4xrC4+8/gnPnyTND4bEjs+tRtEPnQOKz41ciE+NYAvPmbmQD6r9jc+FXglPnwrGT6TTTI+SIw1PqG4IT6YqTQ+yqRIPvPqVD5CCGE+AhFVPoSlND5qHj4+aEFRPpBZRD6rbl0+ZeZdPh0Scz5jRFY+1ixFPgDMID4JZzA+cq9MPh+KUD4nx0s+UhdEPnRDHj6RYiU+b4c1PuD7PD5l408+9CE8Pgr7Lj4wBSk+Org4Pt9INz4gcSU+0usrPgSKLT7ceRc+YhAiPi2gHD65ByU+LDE/Pt1RQj7crE4+4I5JPn7mOj4J8Eg+PMVFPpBSIT4Sxy8+2Q5LPgv/Qz6jKSo+2+UWPl60Qj6SHjA+zfUqPhC+Jz7zEjA+V9pKPraRNj7gLiw+1B8kPj1SJD7sEzM+VRNIPhGtQD701Ds+sUU0PhmWQT4gODY+XclLPmAqRD5w6yg+x6YqPmwnPj7Jsj8+4w49PoeHPz4JnUU+IfA7Pqq7Nz6hly4+54goPqDMHj5Sn1c+IFpVPg6oRT5jcTU+//eYPSWqjT28iJU9cAOXPRJVrD3XQ6U9AdqePcd2qj1oVK09wgilPeuNkD3VF5U9BcaoPa3UqT24fZg9IUSKPXQJhz0a4Js9XbSQPQ+ffD2mAII9yACKPYT6kT3FcIM9rDaSPU5omT0baI49L7aSPdVejz1e54o96bGYPShknj2XwZU9v/aRPQHppj0ZFpw9jtCSPaW/kz0HdZY9ajqOPUFemD1vXqA95qSbPQ1pkz1IT5Q9k0qHPdNVjD2f/4k9lMJzPW/RfT0bLXM91V1wPW2JaD2cdGA9vd5VPWqaOT19XjY9UqFQPahjTj2ctFg9Et1KPd0ZUD0JD049/j1OPZ07Zz1Q2mM9fCZbPfTxcj2DrHU980RjPckRVD3yvks9aLFMPQwDTT2sy0g93eNNPYSIXT2L/WI9965YPbmoUT2ZglQ9+4JTPWKbWT0Q6nU9ch1lPaxXXD1oYGU9xI1SPYxtaz3OGWE9fIpEPc6hPj22XlI9cyRgPU88TT2SwlU9b2haPTHLRT0xhEY9YtZEPYF8Tz2kbVc93gxePVcdZj3cwW09AVBOPXKlQz18XkM9M5pLPZC0YD2F9V89fPhVPXKOSj26iTQ9RkU1PfrgKD25wSE9iUohPWUbJj07vSw9YKgqPdqVLj3bCzU9cQ87PRcLNj1YeTg9R0gqPR/1Ij3y1DA9sx1GPdfRTz1lwFI93J9LPQHRTz35zEs9q9RYPVj2TT0RZ0E9X+hXPayVbj2drlo9fuRNPSDDSD0xjTY9QpM3PWzwND0ijyM9YoQ9PcDBQT0xPiE9TRkwPUNHQD3clTE9mFEvPSJFNT1Qxj89rJw5Pb7ONT1vETw9RExQPVg4ST0mlT49Z7syPbe3Mz0qaDY9mMosPUBnLT0mpSw9Kc4tPWn5Jz0LJyw94O0zPYuTMD0AySg9iv8pPatRKj0U1C09J1QyPbzsNT3cqjY9+TE/Pc5/RT2Q7EU9GDg5PSvRPT2nlj49LIdBPWAqRD2i41c9lopRPcXKPj2aZDs925xVPU6QPj2mqkA9SIlaPXQIUT3vlks9Ky9QPYCFSz0+1Tk9le8+PftlPz2bKTs9Ba5MPe2UXj1UvWQ9JNdTPRPhWD26J2095iJ3PWcoaz3uCWY9+o13Pf9ceT3Vfmc9UjiFPRKmij0lNYI9P9F+PZYZfj1TaGM9h+p4Pd1Ffz2T0nU99SeCPR81jj1i2JQ9uTiSPf9EiT3olYA9vR6GPfTdgD2XTIY9vUeEPZYTiD3JapA9RhSaPR5XlT0f1ZI9SSaIPY4Kmz3R2qU9T0GZPelojz2dzZE9DTmbPZkhpT1wdZU9sX2NPetRhz3UpH09yL90PaV5YT0YpFQ9bYBiPTexcD36fXM9M/CCPYwzkD01K5g90OKMPUbTij0YY5M9+2iIPeBZkz30sqE9FhijPWhdoD3qZ6g9sbCuPRE1sj3IdbE9GdS8PXHGuD3EVbo9JBq6PQwGpD0GEKM9Fw2pPRxHpz0R3509jI2dPQ/OqT1mqLA9+lOtPTR+pj2H46o9jIOtPasvtj2QSbY9yxO1PXLEwj2BFr49mTDFPSopwD0q3bE9Q9auPf9frj0sH7s9AQm+PS4huz3anbI9FcOjPYxdsT0InK09W1uiPfc2nD3BSJc9UriePXaNqT0oK6w9rGCwPQSgvj32xK49VWOIPb0NhT1+KJM9fb+kPeeTsj3n4cE9/q6wPcR7nD3pW5E9/72SPdzNpj3XsJ49QKCaPclEnj04fqc970i1Pd6qsz0zS6Q9k1WVPRaclz1+FJ092DaSPSrwkD2EjpI9N5eVPafvjj2nxoc9kieDPb5/gz1Yc409//2MPemhkj3uH5s9QkmgPdBSoz0sNqw9okKwPdoJtT0rm5o9ZA+IPfKwgT0Pe4g9YnCSPSpOkD2T+5w9O0GkPcSFoD2dkJU9PlScPX0dmD0XDpU94jiQPcX5iT3reY49+k50PUU9cj38CHk9z4N3PQP3gT1N7XE9JdxnPWhUbD0LH4E90Y96PYmGgz1HEYw9vM2PPdJKjT2oNpY9uV6pPeZ6oz1zb5s9MKGLPf/Yhz2/boo9ESp3Pakbgj11Y4M9Q0KEPTrhhj2UT3k9fZllPT/PVj2tOE49QuBLPfk5VD1OSUo9WotQPWDVWj0udVw9wOlNPWwsVz2lzk89DSVJPUxqWz173VQ9aRROPXaOPj2sYzM9mH4sPWl5Jz0PDic9pX0mPXIxMD0XtCo9hJAsPd2iPj39/049T6hBPQmUMT3VPjY9n+Q/PUaHPz3E9zk9LodFPdDQTT1K9Fg94p5FPerdVD0fxmA9//NYPRcLUz0unlU9mxNWPVDiRT0bBi49ffYnPevxKz0u9x89a4giPaeOMD019TA9iPdIPWkWVj1C6F09cqtuPdLVUj3f/S4900w4PdPeSD2PKzc90D86PUfVRD3inX492DUNPk+eZT4RgEg+kgdAPoZxGj77hiQ+iNsnPrBlJD6fdB8+j9oUPnLrFT45aRU+JHQcPsHIHj5OECA+A0kTPgqODz7FHBQ+RJjyPS5yMj3uhXQ8iCVnPCMhaTxyhXU83oyAPBdtcjy3H4I8EZmJPGwpjDzdoqM8XRqmPIoYoTxIt6c8M+OePI6pQD0yiRo+AGcqPlbbGT48eCM+CYobPsvIHj62pg8+vosSPitvLz48p0c+6apLPkFXZj4nAoM+gUAaPsNAKD6fFUw+09lPPqHYLT7KwzI+110sPqPjHz7vHic+r9cwPpzxKD7gXhg+XYZnPji5UT4pujw+w18/PtXgQT6rnkk+7mxFPnJ7ID70kSc+3boePlXWGj7ZLiI+KWkbPsxuKj5aXjg+WZoiPujRGj7Gqxs+4+AhPnKAKj6ikTA+7rE4Pm94NT5+XDg+4vMwPvmMKT4Lpik+Ir86Pk4sQT6Xihw+ytEgPnIZTD7+3E8+vUM2Pi14Rj5Hzz8+hKorPseVMT5G/k0+CiI8PkTmPD6JL0A+uJpLPlc5TT6M/0g+LrBYPkfwWT5ujII+TydHPnK8Mz7/xjk+BKY3PjTRRD4jkV8+oghVPgsiOz7Ybi4+QUIwPgJDJj6KGyg+bQYsPhKfPD52Ojo+NkZFPrXORj62DU0+IN1BPt2tTT7dnzk+XDYoPigvJj4L6i8+g0U4PhL+Hz7iYRw+NX1NPmjuPD66jzA+djcpPnmpDj7aESA+X2c2Pv6UKz4RCS8+BuUsPriGTj7pyT0+AM1CPlMaMD4LpD4+kORbPv99ST6kdlg+sm6BPpB5hj6CRGI+EEYoPlZfET7JQEY+6HhLPgX/OD5NHkk+L91UPrTIET6Qce89/SQMPqBEGz54Fik+7G4vPjQGMD76i0A+P0lFPj/tMz7PeS0+QOQyPnPBMT77ayw+N4wqPmLTJj5fvyk+djoaPoDIMD6hT0U+f6hKPuJaNT5kWE4+VIU2PlTHJT6A2CY+O6RZPjleTz77dj4+KiUyPpgNMj5qqCs+EvoqPnbvOD5f9z4+kv88PvTWJz7ueiQ+GbQpPmFgLD5z0TA+VO5DPlkjVT44/jI+CVw4Pt2zND6+kzc+/bOMPn9Phz4ZfjY+A9slPnQ5Kz67ORw+LfknPmSVFT538D4+VJtAPshjIT5npyw+LgUrPjydND5oL2k+zQZkPp96Tz4ilU8+19WTPWXjnD2YqaA9rcOmPZT7sz1uI7Q9xEavPXilqD0IkJo9kNGRPVrTlj2x55o9/V+XPUn5kj08QZQ9UE6UPUHPjD1TIJo9266VPX/1lz1fLIs975eHPWIcjD3a75E9tNyTPVbAjT1uAZA9aqSOPaTVgj30UIc9AiaWPemspD3JO6Y9qf+bPRJcmz19P5c9IoipPftNoz2uWpw9d3ynPSJlnj25yqs9TKiaPSmnij0oxZE9Z/uMPf1Efj3HYHg9jlFvPTm0TT1/PVk99HppPRIdbj0qh289yHtfPYzhUT0MYEc9ZVtMPS8lVj0jEk89w6pRPa4MXT19HlE9EcxcPT81cD1s6GA9O49mPcvQWT3KOGI9enRRPXI3VD3XbV4959JlPW7YZD2CsF49Q4diPePjbj2NQ3U9w+5vPdstWz3A0mU9s4pePcZZZz1YK2g9WIdmPWWbgj08ZYA9QsCCPcn4fT3avGE9IE5QPfDNTj1SmkY94TtGPabgPj20wD89FlJRPdZTVT2UL1U9+YdTPWsvUz1qiEY9OytYPXE7Yj1rMGA99YhePf7sWD3E8Ug99+lcPT3Xaz2UEG49M9tSPcbROT1/Mi49Tf4sPVbTLD0+OS89Vl9DPbBzPj2Gzyk94ZgkPZi/JT0tei897fs/PXzCQz14xEc9tkZLPSXDWz08DE89vrhHPUYSSD0np1o9WShePcVbVD3NUUA9nm9VPRITaT36AFI9DzxbPYX3Qz1SEUM9I6RIPXqpOz1oXDI9UUg4PRQ2Pz2vIUI9bsY+PZmuSz1fgU89XuU9PWX0Oz2W9z89hKQ9PbvvMj1kF0o9c75OPVwPSD3NeDY9wpJLPRZ1WT0oilU9uYNLPbdMOT3TgDc9gnktPZ5wKT3pWCg94KUpPTxgLD0b8Cs9rHE7PbAzND1DmSk9AjIsPTTPKz03r0M9tPtHPXfXOj2z1TM9d6A1PXchPj0NbUY9N0RDPZ5YUj1HrEM9TnxJPbPUUD3IbEs9Cf1JPfHPPT2ps0c99KNPPY8+Rz03j0w9gMRKPZh6VT3sQWA9Wx9VPYvWWD0fXUI9Wq8+PY75Tj03xlw9wO1jPSXnaT3v3mM9uKFcPc3KaD3hwHw9s1WEPSlzdT1tkGk99Z92PXoSdT1/Z2w9ENh7PbjCgT1L+IA9OsiBPV7ogT0qjIY9BIV4Pf1HgT3+sYU9Q42EPQbDkD3FVoc9FamWPdXEkj004ZQ9IHSYPd6ehz1oZoI9RECEPdW3jT0l1409tOuRPQQRpT0bVac9ikGUPRLOnj3Hd6Q9UrWgPRwgoj2osqk9cbCdPb8JlD0/G5g94yaQPfuVhj2RKI09+HaDPVvydT2gcGo9EAx/PZUWgD3JW3Y9WKt/PX/hiD1coIc9oguRPXqTkT1HmZk9OtqVPYtlnz1l4p49V6SYPePMnj1dPbE92sCuPQtsuD2nNrw9B5nBPeMkuD3lwq89yRetPXK1rD3Aoag9eYKoPURCtD06Fa09WaqbPb0Xnj2HeqY9eiimPTytoD3G/a09N1q3PYHkrT1fPKs9zHO2PZQouT14ybg9sT3CPc3nwT3pV7c9Nru4PUDVvT0yTr09Uiq7Pbewwj1eccs9jnexPUp+nz2/j6o95manPda1vj1xTMs9gu+0PdGEpz33RLg90NrEPaFevz0V7Kc98qmkPbwWqj2HFqU9fta5PbB0sT2H/6o9GASiPVEZlD2vCJQ9k1qiPdwjrT3sArw9poO7PagCvz1XHa89Y3KrPQsqrT0/M6M9I/CVPRO9nT0tS5o9m/uTPa53lT059pM9y0qRPQEkij0GW489hJWPPTjXmj2kXpY9OO6QPdCymT2owaY9M8ujPQh8mj2Bs5I96PyYPWDhlz3YcZI9S8uTPS5Gmj2EnpM9tSeUPed1lz0y5Zg99YiVPYzFlD1yz5Y9poaePYXfpD2sPqc9WSicPf57hT3SDno9GNpjPVgYdT3UaoA975+FPTcwhT1GkXQ9QSVvPd3zdD2MLIM9PsOHPam/gT07U4k9yFGSPXmGkj2EGJw9YpuSPZJQjj0xMos9ovOGPcXoiz30kZA9/DaKPUi0ij1TdHk9IUVjPUkCVT2I+EI9PiBFPTsSVz2Apl89UShpPXJ0Vj2aOFE9xW9NPV+oOz0U/kE9k0NHPcUmWz3T41c9n4dfPZEKaz23yE09KjA2PaZ1LT2l7DU9sq8xPWp6NT1ysC49UCc1PczHND2w4iw9ev83PXvZPT32YTY9QmouPVEAMD26djs9N14+PQ1LQj1/6Ew9B9lQPSCMTj2SYF49fdRTPctbVz2PvFw9ilZWPWuPTT3y30k9rt5KPWFlOj2VdS49HPgvPcl/MD1y+zM9QX1KPertQj3mjlA9PXlaPSl/Rz3TcjU90oU0PbZuKT2Fozc96aU6PbKPKT3pvDA9bCRWPZG9cj3PJE49uozFPdyUTD5zrlA+r9VgPuGBEz6Y3Rk+mB0gPlfeID7Pmh8+YSMaPrpnHD6nVho+Q7oRPvF+GT7u1BQ+KmAPPlBTDj6rhwk+kHmGPVv7ZTzNyF88mG92PBi9ezwxso080mqbPDe8nTzflqg8UyWvPLCTkjyPKJ48dVWdPA1ejjyxMoE8L8yEPJ+ijzznqoI90c8NPjJ+Lj6i1yA+EKUbPp5EGz5ufQ8+m4gFPh4+Rj6qHIU+A94qPjEaSj4lFXo+lZUkPpcMJT6/Th8+hGsmPjg8Gz4LBys+qnUnPurJKD6rkjM+Q1QtPpWIHz5LOCQ+btYoPiXrFD75uyU+U7YrPv+9MT6VKCk+MBQlPoVZJz4MFSc+KWUlPqexGj5puhM+I5MlPhpCKD40HTA+76I6PtkVID5SOB4+gZsqPuJ1JT7JHR8+2yw2PlpYQz4hBDY+dXggPjU6HD6+pkE+Nd5IPkueRj6dIBs+hz0+PnTwRT6hWEw+VEw6PkYKUz4h1UY+QFYvPjOeQD69cUA+C6BDPqUGPz713Cs+4FMiPnBNYz7AL04+vb9SPh7pcj68voM+yOtjPqWhPz65XE8+CuBCPpDWMz7hEj8+tJeSPsHyoj5U24M++bIcPowTHj6reDA+6R9JPq5UUT4QTUI+hzBAPrkGQT5qs0s+RulHPgHWWj4gYUM+fAMtPrNDLD6ruS0+pEkzPo/tIT6tUxI+FKY3PupEPT5pdEI+MVQ1PiW3Jz5IlCQ+UW8zPqrJND4ljSM+vxMcPo4+Mj7YNzk+79dlPv0YTz42dDY+MCcyPsbDQT7EJi0+I0lVPh9YWz4M104+rNg4PnVSLj7zjzs+vHghPnfDHz5h/TI+3kciPgKxJD7nhhk+KHYUPtqvKD5oHyY+SJIlPkX8JD7Dzyo+dd1EPpvfNT5SVS8+fFY1PpHCMj7R4is+hdw4PnS8Nj5a/yw+XI8yPh5tND7HWDc+e2M2PkShOz4fJzg+IIInPpQzKj6QCyk+hiE3Pj5jVj6MjCw+P8AePmOoJj429C8+cms+PoB7Oj583TM+TIUwPhyHHz5ihTE+dDVBPhq8Lj5Lekg+4o1MPorUUD5ZL0g+zk5NPuFwND7mDjY+1s9DPq1PRz448jk+3btNPrRRKz4WQjE+urhEPjk9HD617y4+DjY9PoBwJj4oiCI+XIY1PgK1PT6Lzzk+uUBFPq3IRj6rHTc+8I2lPSdgrT3HG6c9rkKtPazDpD3Na6I99UGdPfoxlz0CLJg9H16cPbBzlT1LRYo98pqQPacGjz0bWpg9TqubPVmQlj1725M9gfiKPZmvjT27EY89WFuRPW5TmD0Dn5Q9/pqSPTGQiD0moI09DNSVPQXfkT2MNIQ9vYeJPTIkmj1P6Jg9jaOdPbqJlj2ZFZA9PEGfPfwPoD2F7549VVKgPZD+nz0HCpk9qkyUPQaXjz0P94E9Fcp9PcQMeT3jl2U9QphPPR7jST2mgFM9iBhPPUipWz1Wb3Q9Xs5XPSDgUj2cwTs96Es7Pb8UQj1/B0U9HTBKPYcWZD0SXlk9lyVgPaGqZT1u11Q9nWlhPRwgXD0+6ls9FjNxPbRsbz0EIV49755KPdbKYT16QIE9styGPSSZij2Wxoc9JvB5PQgKaD2l8n494Il8PXTvej2kg3U9uR2HPcTjcz0K12M9fXRNPaFPRz3y5VI9HKpVPZkPSj27jkQ9zI9KPXgqQz1Ch0w9Xf1UPVd6Vj2mLFE9ziBIPTx+TT2Y/VE9ud1MPfAnVT0GN1g9NR9KPexWhj2CN3Y9MzhfPcksaD1Zb2k9QoRTPUeFTT2PLkg9WIE2PXXEJz01wSM9ur82PYZsOj3pvzo9vpo9PdoCOD2TOic9/BJRPVOZYT0NLlI9iZRAPQ1ASD26SjY9buo6PcelRj0oCk09PFdVPUK1Qz0BHkU9t+5gPe1yYD3GfUw9K7BpPTX/WT2Zpjc9HjwyPVFmPj2fqVM9G95OPYrZUT0iN1U9VNRSPbZkZD3YaG49CNxKPVbdQD1UREA9LytOPUrgTD1c/Eg9aPxEPWh/Pz01TU89v3NTPZ3PRT36jDk9BFNFPfRbQT2qczU9CKA3PcP3LT1K8io9WHUvPRTzMj3oIS498MdFPcrhPz2RITY9BnkxPXC2Nz1bCD099PI4PQ69Qj397UM9ZIkjPRmAMj1kgEY9ETVGPRSdQj3kI0o9utVWPQuaTz2Q6D49fmlFPWtuRj3h1lU9UbpDPYk1Pj1iDkE99dpUPcyXZD1VNVU9C5hBPWBrWT1Kmlw9MgtcPVw4ZT34eGg9KpV6PUtbdj0t0HI91LZlPfxdZz2Y/nM9JSSAPQWJfz3bS309C7RmPe9Bbj2tUnI9FWSNPQKbhz1Q43o9422EPezilD0U3ZA9Ho6DPei/cD1L0oM9L1l4PQ9/gT3uW5U9zYWnPYxZnj3dV5M9VnqbPR6Jlj0L/ps9KPeKPWYJkD3AnJo9F5akPbZPtz2JJrs9kUKaPcqjlT1vopY9362aPVwLmT3peY89dw+OPROCkT3AD5E9MkCYPaIimz3HRZk92Q2IPY20eD2EF3E9y9F4PT+ldT1rD4E9GWmJPTXYkz1IMZU9jKqePXtdmz1yQ6c9xYGiPbm9pz1L/6s9KP2rPVLVoz0N8ac9At2rPZ4Jqz32urQ9jna4PdAItD0GGbo98UW1Pc1Jqz09O6o9XMqrPV14sD1mbqI9e2WkPVA2nj3fpKA9z4OePb7Qoj1w6LU9Y+WuPSBjsD0td8A9eLPFPeviuD1xu7I91E2uPXeZxD1rp7w9e+m9PfiXzT3HOts9cvnKPe8GvD1ZxsU9i3e2Pd4brj2PXsM91obIPSWZ0z30I9c9IUfLPYuZwj0p28s9ehvJPVdKsD1XA6M9iJWwPZhotz07Lbo938awPYX9tD0TaLk9LlmmPadRpj0F+ro9kYTFPYiSuT249r49Qei2PedMpz10VZ49M+ecPdimmj0t7p891OaYPUbQlT27Ipo9fvWiPWEoqz0R6qk96O+mPWiwoz0jtqc9AQGoPU6Ekz3VopM96jeePfxOkz0iwpQ9puyVPe7siz1yopM9b42XPbw1nj0KKJc9MmOJPSSsjj2+F409AaCfPQV+nD1Ku6o9f4yuPQBMoz2H0509b4ifPdHYjz3EU5U98ZORPSyRhz1s0349yvKEPSaBiz1JK3491Sd2PTzJcT3ds2M9lE5rPS4Lgj1cOo49uYWXPa2/mj2w0pw9PM+aPY4Amj2c3KQ95nWFPW7TgD1Olok9A9WEPU9jhj3VvIw9jymCPVk2cT3IHVY9c+ZJPdP0VD1XxFQ9JABUPaLhYD2WjVU9Q2pePSgqTT1mxks9lm1APQLiNj0BgEs9uRNVPcxSUj3u3FE99XVTPdbdVT225zs9ckcxPRP/QD1Ur0M9sUQ2PY32PD09GTM9IXknPXQSJD3azio9/rIxPdMsLj2vGi89FMUqPTtELj2tUTc9JHlCPQcKRT01b149zl1sPUsKaj0f32Q9QNFUPT+LYj3jLVo9Xc4/PSygMz38/yU92sErPb8DJT2twCw9l2U2PQs5ST14CEQ9AZ9BPfFYND1OJkA9RzdBPTofOT2Wxi09B04wPZwqNj113T49LTtCPUsbPD27jzU9Dpo4PclZbD01RG89oXZnPUFAwD0MZTE+DP9jPsvFHD6Phh8+NMYfPi1hJT5rARo+FH0jPqhJJT6OEx4+z1sKPjAZGj4JyhY+wHMSPgxSDz7wDQY+iXQ7PccuNzz69GU8JTqAPCCEezy3EI08NOWTPM2rhzxumIY8UDuIPEpRkDxOyYk8Q9WNPC1/lzw/y5Y8xmWjPFZWrjzhk8E8sw9LPQblyD0KAxA+AUMjPk0yID6u0cw9bdwhPTAjqD3x+do9ke7vPQyMCD4eei4+yEYWPuA+Jz59gCk+Ot1EPgFQUz4TSzI+6IguPghqJD4LPSo+ZJ0bPh/IHT5Gskk+njZDPpq3Nj50siw+saQrPrLRND4QITA+FM8lPny3Iz7qVBc+aPohPqqtIz5GXBo+JIciPvLEKD49TDQ+Me49Pr1PIz6saCo+K7YgPhXWIz6R0ig+3IwyPus7PD7DPzI+gYsJPkysJz7pMlw+vYI1Pmm3Ij4hLR0+4LlLPorEOD56bU8+hPAqPkkhYT5Oq1Y+Ws1CPi/iNj5/+To+lh1APhwZOT4rFTY+6cotPg5IQT4h6TY+Mco3PoClOT5xZjc+Ak5fPnETZz71ioE+fFiAPn5LPj7wDyU+Sq1LPl17nz5xeYw+WNIqPkLyRj5h8kI+4lk/PvFPQj68FEg+fucyPmd6KD48PS8+j8lBPvfsRj48HD4+sZ4zPlRYOD4RRjA+ifs2Pro6OT4vVzA+ZzATProsKz6WmVU+9TVBPoatGz495jM+hzc4Pi7KMj7KPhs+RIEoPpWtPD6fe0E+wTFGPj13OD5lUik+2nsoPvDLOT7PgzA+/co5PpSJPD6ojS4+FQcsPpiIHj42fzQ+69snPjxrJz5pjEM+oGIzPq6GKz4m4kA+9SocPgSxIT6fTTg+L64pPt8XKT756yc+ZxsuPpu3TT4qlUI+AZYnPvwsJD5YxyU+MAQvPkHoMj5moyQ+Xnc/Pt6HVT6zuWA+jr05Pv9eHT5zvQw+6l5CPnRWVj470DQ+Pvw0PqurNj7Zvy4+XBAbPqHxHD6M9k8+PydEPmzoMT4Ijxg+/28wPrycNj4EAzs+g2ROPn/hND4XzTc+g7cwPtjjLT5rzzA+04BMPhuIVT5Ig0o+TxFaPoY8XD4J+Do+KvQ3Pus0Hz40Dxw+VbUiPpprEj5P8Bg+93IZPl8sGT4zrBs+WuwgPvqaHT6RORk+qlIkPpLiKj4+pTQ+IfCdPcM5oj19xJ89QKunPYKJnD0+YZ89dfGjPaSfpj1HIKQ9D2mdPYAjnD3PV6Q96FujPbaEmT0f+5E90VWfPeAOpj2zW5g9UAafPXywlD084Jc9CxqNPR2vjD3xio49d7KNPfJfkj3gsZA9ztl9Pajxdj0RpHU9IX57Pe5XiT1aU4s9CeGHPT8egT1uc3A92gCGPRoBjz2kUYw9dTKVPVgAlj1TbIY9Sq+IPa7ThT1Rv4A9g4+APUHqcT0V3Xc9caZqPUXnWz0CGlA9ykdIPU6hMz11m1E9mtJlPWSeYD1Nsjk9TEU9PYUyUz2dg1Q9VRtePZAjcz37H209BM9PPXQ8Vz3INlU9hzd2PcmcdD2I0HI9yTZuPb08cD0PnHM925huPeM6cD0juHo96NhtPYb0Yj0DtGY92rx7PYeMiD2hnXQ9o3NXParyXz3OSnU9IqZ6PXm4Zz2+C0Y97ONGPeCRUD39P2I9mpZnPc/3Yz0p5F09Y/ZfPR2uRT1wV1g9/uFJParhQz0Ic1U9mupcPRj/Zz0WTEs9vzxNPWIUSz3nI089u0xkPcu/YT1yplw9syF1PSB9ej3LomQ9cuVEPWY0Nz1hWTU9KnU5PW1jNT2dX0c945RePQU6Wz1FPEY9pzpHPTcqUT3cnVw9vcBePTLZVz1C8Ew96rhKPVW8VT2yY0M9cW4+PZYIQD2wB0M9EmFuPYzcdT063n89lZSUPWYxdj3Wz1o9HoZIPeubUz04EUQ9GfMxPb7jPz0jQ1s9b/pDPe1bST1KZU49BNNNPTk/TD3Z3049ge08PbYaJz15zTE9/Ec6PSWePD1zJkY9sYFbPeBCXD2T9EI9KeBGPXbANz0VNSo9F4Q6PayVPz1ZSzs91UBIPYn+Rj2xmjo9N2BAPZcTUT0lUD09kPtDPczsUj2qWlI9XkFPPR4aQz1YAUo9vSNXPc/mST1rqkM9yGxXPWEwYD1u43Q9ZLRsPUM2cD2i7mg9c1NuPcIGcD3a0WE9oRdOPeQzUj08gkI9srpJPXkwZT3w2VM9aTxTPZNtUT2+1lw9H2NZPRauWT2smVw9f+1pPTpXaj3k0Vg9aR1oPflrdj0rfGY9cJ1oPaRBaz1Dk3M9BAF9PX8Pcz3HmYk9WsSKPeq9hD2x74I9zR+HPSaPgj1T/Ws9VdCFPWanlz3nXYc9Oq6NPWiDiD1jPH89qaGLPdF/lT1IuJc9p+CoPcO8qj0Chag9A8GhPTkPnT39SZ49rRKsPRh5oz2jaJ09boaWPRGQkD153Yk98taJPSHJkj2yPKc9b4umPWtKoD0p9JU9VKKSPfh9mT0Omow9p0ySPazdnT3L2pY9CkKNPVOujj0wFYw9/p+FPfkljj1Opo499oaQPQ/+mD1o1J49fSGcPYz7lz0ZsJw9YLWhPYGQoT03yaY99UCnPcSfrz26N7M99VS9PZQvvj29P7M9gd/GPVFDyz1y6ck9WkrHPcdnuz2MrbA9ptupPQSJoj0f55Q9mHiPPWm5oD1CPaI9MhqbPXLioT1YeqU9LuSjPTbmsT3lbb49QXC2PZPOsj2d+709b+O/PWswyj2YXNE9kHDHPQqDxj1G5sk9JcfPPXtduD0Lmq49BdK9PX1Buj3YDME9KEvPPQD1wD3bfsE97gjJPWFBtD2rnK49XpypPZbTmz2Z07I99GKwPVofqT3viLc99CCxPWeMtT312Lk9IZa4PQFcsz1VArM9IlesPYfsoT3NfaQ9sO2pPWIQoT3Q7549E/OiPb1nmT3VBpQ9GsuTPc6Vlz0Plag9a/2cPXvepz3mW7E9aG2cPfoAkz1qlpk9FhqbPbHJgz21NoY9SiuRPWL4jD0wVos9Ew2KPY8IiT3aFZ092jmzPUp1qz1vKJk9Mb2WPYTYpz21wKs9BbqePa9wpz3ec6s9Bz2jPaFblT0B04w9JfCRPUpJkj3mG5U9DBSHPafrgD2EvXA9bl95PRSmhz3VAog9+bqDPfs/gD1yf4o9d56NPcW8kT0K75A9e92TPVz5kz08aIw9K9yGPbRGgz0a8oA93BN3PfTRcD0phXw9maR3PeEdgD2/NII91fNsPaK0aT1bImk97+9vPTY1ej3M23c9bqFsPZVPaz3n0Vw9jzJIPWW6Qj2CgEc9ld5BPcxRRT3rOkk9URNcPXcdVz0AC0o98nlKPSmiTD1nlDw9qRA9PeFvQz0EQk09V64tPd/mHj1YNy09caRHPSyeVz3xLE49uXFJPZkXST0JOUk9U7NCPT9OMj24uzE9ifJPPeSHSj1CQ109x7V0Pc0reT3HyV89cWJTPZs6WD2qlTc9DzAcPW7tIT1L+CU9NrklPaSCID1APjE9exY9PSY0QT2jfDk9W3hIPetuTj0VDlA9hYxDPbRZNT1e3Tc9ytA/PRsPRz3yTVg9+mdcPUwYRz1RVkE9KsUtPYP1GT2spiI921JGPVvMYz0V3y092INQPVs2jT3x+N89TOg4Pj51Mz7NDiw+RkomPqYqET6qTRo+s6wYPqAQFT6w7xA+O/wNPnH3CD6dkf09f9wYPefQNTwfMFo8pJVoPF+jcjzuBYg85OOcPIa9vzx8jrE83w2xPESTwDyZlao8f5m8PMBfvjzFD8E8VerAPIx5xzy/QNc8KPDZPBr81TzYSFw9Kj3aPewjBj5xe7M9vNvXPANP8zz32uE9SV0hPkWsKj7hdzA+hJUWPjk7FD59IjE+NutjPpgFgT7rWig+gDQwPmsvPT46hDg+B3k4Pux/Kj6ioCk+6JQ6Pm3JSj7UMFs+6iY1PvF6JT4wjTg+h2A4PjbtKz5qQC4+faswPo9sKD60JB4+vHMiPhufKz7MljE+hmwyPu6cIj4eYyU+ZLUqPrtQND4VmDM+DekuPo8IJT6qRys+P8cPPvPZGD7wpDM+KBcuPtSsMT7PaEQ+RixKPq6gTz6WB0o+DPs5PgZHSj4VZkE+0dhJPqseZD7ZLVQ+sxtQPp53Vj5B0E8+lGkzPvVQID6vATE+6tQuPl0vKz7LRDE+1vU6Pr89Uz4sUHc+aOFNPqP7MT5j7CI+qC0jPqg2YD6CB4Q+5EpsPjqxNT6LKjE+VDYvPi+YND4vlC4+tEYaPpnzGD6KZis+BdphPkS4Tj73Zzo+CNUlPjclOj7dfDk+lLYmPvvPST5qnSk+cbMZPu0GNj4MrE4+2ng7PuSkLj4j8T8+IB0+PqIjQj4RWh8+6mQ7PvlsTj6ULTc+OVYwPim2HD69Zgg+iAxAPoF4TD6nazY+aG5IPpNTHz40Fio+AD5lPtR8Pj5iL0U+j8IoPhXpHD5HWi4+Vlw8PpkfOD7r3Sk+ldAXPiR/GD6fbh8+usEzPu6/Hj5GBRc+O484Pp0GKz5T/i0+62UiPkdfPT4mVl4+BoQ4PrwzLz6xRik+A2YyPtwoMz4tZR0+SeAfPtUENj7/NB4+y6QvPvt2LD7ELzA+NAhQPvV9Tj58XTo+kR41Pv8sCj4HGDk+fiRMPnKcMT7lHis+F8k6PmKBMz6gUDU+qx4zPkXcKT6S2TA+XgQ0PiKVRj73wFc+vAlQPo8AQT6d9DE+VpA0Ptk3Kj4U2yM+y04TPo2j+D0Spwo+SGUMPqR8Az7VbPM9ttX3PbEYBD4G+gk+FW0JPgudBj59Hgs+8EkIPpQSED4XhhM+5UWbPTSlkz0hXqQ9plakPROxkD1vbpo9K4ajPYKAkj0di5A9TuuePSquqD0//6k9erigPdp1oj1RxpY93UqePf+Kpz2ZoZs9rMeaPbZSkT32rYs94yCfPfsHmj3l9Yk9QDiDPezfhj2WJ4M9xDd3Pdk0fT2jhYQ9adiGPa4Ogz3iuXU9BUt4PSBaaz0T5HA94jZzPbXrhT2jfYA9bRB3PdKwdD2OnXA9dsVoPaTpdz0DuWw9739sPZNVdT0YomM9KpFcPX6OSz17YEI9TOA2PRouOD3n9UQ9mRtJPX6bVD3LFkc9Y1I5PW1aVT2MN1s9CYVmPZcAZD1Vw2g9x0hbPdvDWT0vqVc9sEhQPQaaXz0lw2Q903tXPRx+Zz3hQFQ9mfJpPfpkZT3nb2s9vwCTPeKphj2iU3w9hnaEPRn1iD0/KW49YmNQPUM4Tj0zEmU9kQ9fPSlSUD0gU1U98BBRPfRNQT3Fi0894QVMPQVTUD2halI9+r5TPQn+Uz2xbEo9BQZAPXSkQT39eFo9RFtdPSQpaT1uJ189FiZRPbPyTT3d5V09fkJgPeEFZT0pj109idtrPet2cT1/x1I9WVdLPcZvSj3CU0s9l7lcPVXPSz3XAUg97K0+PWKoOz1IUTk9I81QPTqUYT0s4Vc9IUFGPSLpSz2zeFA9E786PfoaVj0+KEg9MLY7PWKtSz0uPV09bgRYPUNlaz2tSFw9OI9MPUy+RT3AO0w95HdFPYnePT3p9E89odJOPUo9Tj1VDUQ9Pw5BPZeAUT3WzVM9IQlgPUMVZj1oGGQ9DxxTPWZKXT1YYk49riZVPT/mYT17m1k9hJlcPRUWSz0TkUE9gX9APU6/Lz1HGDA91jQ8PRM4PD00CDo9ebA9PbQdOD2SszY9jdFCPeY5OT3VWzo9mAc/Pe+oSz3tDVE9HEZOPfeHPT0qaTs9e3ZBPUSbTT0yg1I9UzFXPWNtVj1wwnA9AdKAPQxcYT3+nkw9siZRPfDdaz32G2E91UpUPSBMUD0a1Fc9ZW9cPbajUj0olUU9BAFSPe+vXj13VmY9c25pPQ9+Yj1O/FA9unljPTdxYz2BJGA9GGZxPavGhD15SoY9iaVzPXtPeD2TnHc9DsGCPZjXjT3W7Yg9NDOBPQMmhD3xeoM9N/2DPZdwiD1zgIg9Re+IPY7tkD1NyZU9WDiMPXN1jT0khZQ9JP+TPfeTjT3/4Js9csyePVsJoj2eCJ89oeiZPQBkoT3CRaU9CJ+hPSBnnz3Sv509zS+YPXmgkT149Zg9ur+TPRAKnD1bQ549S0upPfypnz2oIJ09gx6pPc3spz0sUaA9CeWdPVlvoD0Rup89GTOhPbDqnj1dFJ89SXaRPVOxgz3HMIY9/gCFPeakjj2OC5U90s2TPalkkz0sTJo9lPWfPbzypj1b26Y9mL2rPTKaqj1S2qk9iUq/PWUvzj0eXMQ9F4zAPTomvD3mwbw92YC6PUx6uD2aRas976WjPWRrmz1Nk449cJCUPQJroD3CSpo9SyGlPd73rz3sBbI9uTKvPSr/pz1j/ao9/T6sPbtRuz2LyLQ9mru5PR0MvT08Ob49lmS+PdJ4wz3mxrA9s3m2PeIuvD0IwLU9qAyzPb1Nsz2arbc9SVbFPTXN1D1dacY9JBi+PerAsD0L5qY9AemyPbUPrT3mcaw9T0KnPbapnj3LKas9JZ3CPS2nzD3Sya49lSeqPbMQoD0nOJU9VwadPRo0pz24nao9BD+kPZTElj2zapg9NRKQPY3/hz0kB5U99qqbPQe2pj0d7qQ9xsihPT1tnD04xJ09FBKhPcgEkj1bwIc93WWRPZRFiz3NCYU9EEyNPbVSlT0neo89dfeKPW0glj2sc6Q9/5GiPcwYoD10zKs9flqvPfGNpj3fBKg994qnPYe6oj0IGKA9akGkPUrSoz3CnZg9NcmYPbKBkT0oSJs9EimOPdtNgD3TyHw9Bu+KPW9Ylj13oJE9j+mUPR3/hj0JcYw9e1eUPQ4tkD2NKZM9ANWLPWFUfz2nrnc91Up3PQMoYz3uYVc9wVpoPbd5cD08jXc9Bt59PR3pdz0v0GY9PnxhPRBPdj3JUXk9qIOAPaVdhj1x73k9Jc14Pfb6ZD1WUEM9gmYxPUusMj0xOEI9DyU3PcDpUD2Zc1s95lJaPRVBUT1vGEM9I+RDPTcpTD0TK0M9Rf0sPVZcLT3yWTI9+b4sPcEaPD2ijE49+ktaPcVKWT3DgEk9MsxJPbJ7UT04kj49IDg5PRrnNT1Ihz4996xCPWrNQT2Ujlk948FjPUu0UT2jfUY9rQ8zPVpEJD3Pei89ye4lPVUGGj1F+iA9bsUhPeMFGz1SOC89oNM1PcWUOj3iLkQ9FGBIPfxfRj0MzUY9ZFlFPX+5Pj1uwDs91n83PXgJLj1zBTY922I9PcIdSD2sFUY9ixg+PQxMMz0fxDo9Z0NQPUP6Uj2fQCw99z8QPSUcDz2tKWA91KovPgvJPT4biRw+HS0HPtFmFj58Pyw+qpgqPmkLDz4r8BA+LJ0FPqucFD4Rfe892ySePKnuODzmv2g8k2ptPLxTezwsqqI8vvOpPFjWrTz7W6s8YWXHPMIU3zxwW8o8XqvNPGVnzTyDx8484QfVPEjkzzw7adw8Sx7kPG5z3DywCNk8P6vpPJriAj2jBdc8fOOlPNfxjDzBdms9BlgjPpFlOD53viw+9iUyPinMGj6ULCg+3nk/PjBbVD5yVi4+bQAxPmllNz6G/CQ+U0cZPtiXMD74WS0+WvY3PhCiQz7z4V8+hRs3PtvzGz4/bjg+rI48PmFWQj5UnEc+eso4PiDHHT4bNBE+bEUoPinDKD7DKBg+aoYpPhZoKT44TTM+7ygsPnosLD4bjSI+mDE0PmQ5Nz4rGjI+WIUxPiO6Nj47CUM+PNokPi44xz3Umc09CEI9PvAHXD5lITo+30g4Pu6Thj6rL4M+DHtxPtdTjD53g1Y+hFxAPtSmaD469mA+hldGPqP5Kz7bxj0+klU0PrJCMj6k8kE+aEg7PlqvLD4efSs+o+ltPrwcXj63TSo+iX0VPs7yOj6BMkk+RHaDPlX7Zz5Sl1U+hKY4PoMGKT6G2Dw+ovhAPk4bKz50yCI+ofYfPj+sRz74YmU+pZ82PmezQT46XSQ+xrgqPr6NWD7QSEE+MfMhPj++Rj6dm0c+TCUzPo/VKj7MRD8+Z9IvPmDZOj6QoDE+p0Y3PtWUQD7v6Tg+HBQuPkhyKT7JYAg+3Oo4Ptk1Rz7UdyQ+cIksPpI4Lj483SU+tZ85PpX3Kj7niiw+9uUsPi5FMD55dCE+a5EsPlH6KD64biU+RqcqPsckGT5p7iU+nB85PjzNIj5jbho+0hgzPuiBIz46oDU+qaImPs3MKD6vajY+ad4vPraxQD4QUD4+zGEmPgu/Gz6+FzY+hOMnPu7YJT6uHCk+/fRAPtK2Nj4rux8+lwAePsydIz6jRRw+Qn8GPqfDHD5Ocz4+hkFbPoNhQT4u8Sc+D4A3PimrMz48eDg+k40/PsN5Kj59RSM+iPcqPmy8NT5KnDk+qrhNPkdbTT5EmTQ+e0EjPi+UDj4eOQw+5SEIPqeh9z3yeAo+jmMJPtv5DT7ASRk+pHkZPs0gED6vyhQ+waAIPlQsEz60qSA+WkIbPs8uOj65uXs+3cC0PbqvpT3WHZQ9O3iOPQPqoD1GkZ89TcmXPYjxiz2S9I09gfORPUubkD2wXpM9QJySPVVqkD0LHJo9+TmYPVN/ij1oKo49zb2bPcgppT0+iJw9oWWUPcEplj3M4I89gnqEPb/hgD34an89qjSFPWTPlD23opM9ONaaPfBbhz0q2Ig9aieCPe/JeT3PAnw9ltaBPRSTfD0M4nU9I8d4PZf6gD2Ounk9GwlyPTLGfD0Q04o9+EGCPawPdT1C/2U94npPPdUiTj0O00c92Xw/PSeZOz3VoEU9mT9EPRDrTj3Uv1Y9eb5gPUDwVz0ruVE9GdNmPYNzVj1gF0s9yvxGPfE7Uj0nsWM9ZFxiPW9rbT17QXQ9AnBrPQZ3cT2GN3c97rt6PVb8ez3i9Ic9SRaNPUyDiD2t5Y89KLd7PfP9Zz0gskw94EVGPRnlST1I6UQ920dJPY6rVz2joVw9KaFMPdkRRD0dLVY94oVRPZEgSz2Y8Uc9AmNHPUGGSz3AXEo9Cu1PPaweSD1BxFw9IJ1bPTP2YT2g3U490/ZdPXLIbz2JbHE9n2VvPS/zZD1zxV89qNx7PTXUgD2Shm49DU9qPTiaVz2Prkw996pKPTTYMT0bqCM9ELI1PdihST01Dkw9wbZkPcpuaT2Hy2A9UVdLPWWfTz0ZVGw9uMdkPeoeVz3XUFw9LKROPTfDTz2IVkc9Y5RPPbU4Xz2nYGc9SqtQPZyYOj1RYEw9xVhWPQ0XUj0nblA9BaRVPWAsVj3StD89P2NaPU+fVT1NuVU9aPFZPcknSD2Ls0E9eY5APQe1UD0qFEE9ibROPXEiUT3klFs9TUNcPRPsTj0hv0U9ZS1KPfxjSj3MA1k9mbdJPWMjOD28gDk9PSw6PTX4Lz2KejI9Z1E6PeW/Mz1paC895jM5PTjoNj0Zjzs9pqFBPdmZRj2j9VA9EQhaPfVAUT02xVA9kk5VPdVHbD123Wc9vytvPcntXT1pC0Q9JlNWPd3JYD2/HGI9AR9lPeHhWD0jHVM9PethPZXKbT2TAW09jnhyPSLAbj2NqIA9U3FiPQOEWj1hNV89uIxwPcfWfz0NrXA9RIN2PThThz0D7Ic98Bh7PXkUeT2bGo89KRmXPTSsmz3rq4g93qd2Pa5Hej15cnk9ybqPPTXVlj2mCI49IduXPUzSnD2B3KM9WfuTPRmvlT3lWI89S2GSPUlWjz0WN449ge+ZPT3coT3TJZI9RxOQPYyDnT2GgKA94lahPabClT0eZJw9abOVPcR3oT3I9509TAKiPQbSqz1WTK49YTGrPVTQnD24ppQ9D+mcPShLpz0nJqY9LR2dPRYcrD11xK09RgyhPeAgmz35s5w9i2uXPbwhhj0uK5A9mGKPPVWYkD0capQ9VjaVPbNzmj25Rp09LdKkPUszpD02vqg917yrPboJrj3LLa49DEmvPbWruT1vCqQ9Bn+mPfyfrD0ufao9dRauPc3krD2TXaU9/dWbPXVjiz2xQYs9x42SPbGsmz1Wwpo9VYSjPWFvqT24Xa89cQKuPXUtqj0Po6w9xtu2PRk+uT2Q6r09vJDHPbn7wz1bobQ9j7K5PdlJxD21QrU9Kk2mPWUssj10wbQ9vjmxPaFBuD0Nk7g9PBm6PeHWwj3JV749nH2oPaimqz08XbU9zEmxPVxQtT095Ls9fA24PV/pqD19obY9Hx/JPVbcxT3jqbs9z9qsPQIYmz3KrZ49YjilPVoRtj1bUrU9czqqPffJmT1Nu5c933uRPa6YmD2K3q09JQG5PWixrz3Zz6k9zzehPf4SlT2FjJg9rB6TPWjriD2kj4o9qTeaPeZdlz3f55U9XWmcPYcjnD39ZJY98YOfPQVwnD240ZQ97jSaPSp7nD1auK09jzSuPdxslj3gj5s9lyOoPUVeoj3ujZ49ezaRPVwIiz21nok9C/mbPUqcsD1OVaE92zSSPZqPiT0jMZQ9rtOePVPDlz1EV5M9N+2RPRx7jD28Eoo9+8mUPQwnkz3sjYk9g417PdTEdT0FHnM9wXh9PVcNfT1Urm097sJ8PWgngj1FmIQ9jZOKPRoCfz2iX4Q96m+DPTiAgD11qnY9K2d2PZVlfz3++Vw9B8dSPZTsUj2KJUg9KqlMPeb8Pj12ETw98QVAPaCBUT3hNVE9CJlJPapQWT33BFI9VIpNPaoxRD3uh0I97Ko1PXhQNj2igTs9TyNKPeKUQz3P1jk9TbhEPc0qQj1g6EE93FpOPd6oRj02wkU9yzY9PcreNz3RZlM9HrJrPcwPXz2SKWM9H5tVPTpUOT24ozM9aGUnPUFAIj2Zxjk9uuAyPcoCHj3+7yo9TmE8PTU8PT1oSDg9l543PfYwOD0TPTc9Ff1DPV85UD2yDEc9nQlMPf6jSD2tSzc93IcoPaltKT1jxzM9yyE9PQ2aSD2Jv0M9PfA8PSGQQz08PT49wnA7PflIZD2VljE946XBPWD97z3YK8M9YVZDPkTNKz7+iAM+eygJPt+LFj4PZCo+i7sgPpeSBj7fIAk+5FsMPqeEGD4AUOw9a5XOPBxjTTz0K3s80clrPJu/gjzfvJw8MwCtPCcQojyC/548IWbEPEw1yTxyXtM8cS3QPFhI0Dz+v948hIrVPLY1xzw3/Mo8y+rKPOOn0DzAjNY8j7AoPYSv3DyME288jASIPC4+pjzA4GQ9dLIFPqpTLz7g5T8+Vi1GPiGsPT7jdDA+WY00PranQT7xzT4+2ewnPrD+HT5+aiI+xAQlPqwRND4oISo+7tosPn0oSz4tNms+x0Q/PoBvKT44Kyw+vFg4PoDXPz79qUk+BPpFPs2OJj59lxI+3QMyPsy+Lz4W8Qs+N0Y2PoXaLz7SYDY+f5Q6Pj/GOT7vpDg+OrFMPlDxWj55iUM+Zp44PrUFGz5aTZU9fs7aPDiIfzzku8s8bemcPd0rEj7KKSg+shVDPgnodD6qcXg+X4ZwPgVUJD4ErCw+R54uPiH9Uj48+W0+aqw7Ph+ZLj7bzEA+m+Q4PkbQLD4ILUA+am5MPtiHSz6WlTA+2Pk5Pm6gYD4VKko+8kQkPrWWFD7EuCw+d7o5Ppg/Pz608D0+/es6PnzNMz5w9CE+IEEkPo2FYz5DXC0+rvYTPlgKNj7oAVE+1H85Pk2WOT4PiT0+cKdRPgStWD5dt0g+wCklPsOoPz4QVkI+kkk8PgxZNz4kQiw+fU9XPlgOVz51Vlo+g8lOPizQOj6L6iw+aVQzPurWLj6RwS0+AWcvPrRwKz5W/DE+zlYnPqaIKD54MSk+zJYrPnEfLT5fZRo+QjEuPji1LT5YcxQ+i48hPh/tJz7HUCM++O8uPsayNz4mjyw+TWkmPnweMj5I5i8+vyMsPv6+JT4U4DY+W8dbPuR0Mj443zs+Z5VaPl8cHj4m4jw+E6BKPuYhIj5kHCk+sZolPnyjHz7XLz0+vaEyPh0HRz4TPSs+hIknPuHyJD6bZCo+ndouPosIKz4kzCs+RKU4PjuUPD5ZkiI+fJIpPumoJj64zSA+ONU4Ph7ZSj56MD0+thQrPqt7KD4jfzc+eY84Pu9aVj4fyUQ+2IE2PmxAMT46Xz0+vsMxPv/YDD6JqQk+ACEPPjPpDj72SB8+VZo6PmbJOz5nrTs+ytY4Pn10RT6FBkM+O5xSPhhaYT4bZmw+ngGaPemSkj1WI4w9bGGXPSsIlj3ospE9Hh9zPTJkdD0Sf4E9sluCPX88fD2r/4c9UHidPWOIkz2Hbos98IyMPT6xhj340Y09wcKnPa+joj3jyZQ9uUyVPY0jkT34uYo9yNKUPahMmD2Fj5w9dkqnPeP6nj2AH5c9THiNPeeciT20jog9jf+MPZ0Ahj22noU9+FB4PcCiez3yHno9xACKPdFfmz2Gs5Y9FEGFPe2Ogj3DdpQ9lOmMPVnQfz0cDWs96qdzPfI+aD2670o9PcYyPezwOD2YJUU9zzdDPUT0VD01BVE9MSJcPZ8FZD0X9GY9HxlUPep0ST3Cb1Y9wFRxPSbKbj1CZXE9Z3NsPS+5az0Prmc9EYxkPQl6cj1A5W09dS1wPVw0bj08VYI9HeKCPRUudD26QW09Fr9aPZ9YRz0foEo9o148PUMhOD0eKl897S1nPQHrWT1jNVE9OfBSPSlHTj1luk89jvc0Pb0EQT1gTz49gPBGPaqeTT3av1c9CxdhPUWiVD0Uilw9dft7PdGdbT21N1A9NC1fPd2qcT2yMmg99iFePTpRYz30zGI9CAZ3PXXbUT0rNz8992U9PUsjLj06xDQ9Yx8uPRvmKT1FpiY9h+Y2PeP8QD0ZMVU9b3lYPV5lXj21b1897wRQPWDbYT2b4lc9sFxmPYxjcD0GY2A9qiwzPeSDUD1Zv1E9VEVMPZ5WTT3RT0k9Lu9MPXOEQz2tylQ9wG1bPVNqWT297GA9wRVYPQd1Vj1w/Eg9+cBFPXjpUj2nHEE9PFBMPWSaUz0UuU89hy5YPfVPUD2RhTc9HA5FPZraXD3Bm149WPNKPUOKSz1el0Q92PxIPQqWSj25DUc9ET1EPVQFSD3djzs9Ap0zPf6qKT3p8T89Va9NPXt8TT0up1E9vKVDPYqMPT06+049KUJVPaV7TD11MlI9ShlcPWbcUz1MC0Y9Q2RNPe9vYj2MtVI9eithPY0lgT2Yx3E92Fl9PQsZXT0MMV096oBwPSN4aD1ko249QhJiPTaMbz3q4F09rlRlPfz9Wz3TjWg9m9VnPUwqZj2HS3M9ueGKPY17gD0XkXM9qs90PZOjcT11Dmw9cK90PXBVgD0fpno9OeSOPZKUgz2AkXU9wrxwPbguiD186Yk9NSGVPUIRqz376pw9LYGYPVb8lD0KsJQ9AN6PPTZDlz1mFJ49OSSXPZv/mT0cvpc9Ri6RPcWQjz38Iow9V8mUPdZ+lT1Yc5M9bKaVPSXskj1R3po9BHaaPeQ9nT0K2rA9Ls2rPcvYlD2U66M9iCyfPXbwnz3Mpac9juyqPYwtsT0SQq492jyyPbzurz19Brg9PVaqPYaLnz1zZ509I1WjPb43nT2T45Q94ISaPTFDkz2llIw9NYOPPVUPnT1UIqE9016lPb/GpT2XbqQ9QnedPUHcnz0e2qQ9+KCxPVzCuD3ZCLc9fge0PV9Hpj0XWJ899aWZPexWmD2K3I4946GOPbDtiD0D44E9l4+IPRfamT0EG609Z1nIPfJyvj3mMbg9xA2/PYbHvD1Wkqs9AaCiPaAcoT24oaQ9NjqwPV4bsj33PbA9n72tPbPFqT2kyKw9cj+rPUOctj0GaLI9WaGtPRDDrj3HG689XLO1PZDIsT3x1Lc9MaG7PU5Ftz36O7c9KrOpPYUSqj2V97U9rRW+PRgytT3c+7o9bSO4PeTNrz0lTa49yN+3PTBwsz2Hz7M9ezCqPZOhpj3JM589zlmQPcsXjD3a7Ik965aQPR+snT3Ip6M9M/elPcEXpT3rop49uKOnPZiarz2rjZ49W26UPayylD1Q15M99ZeRPfszlz2/fo89s72HPZJ+kz3WnYo9mPCNPQ+vij0NfZo9itCYPT3Zjz1bV5g9SWqcPeZymD07Mps95n6kPa0DnT1K+409ERaKPU8ekz27O4c99QOPPaOHmz2xuZk9AZecPa2EoD1Ywp49GjyYPVE9lD3Z9JI9oI+VPdkOkD1dcYw9hkOJPUboiD3oJHY9KotlPXF0cj0u7G89gdBxPTdYeT0bn4091UuPPabSij3y6o09PMmIPYo1gT2tj4w9ePSHPYhTdD192mQ9xHpnPexhYD3B7Vk9ecNPPYzcTz3AxFY9+BlfPfr9VT1+9VA99BhgPT4mYz1LAFg99J9UPewXWD1PWFE94IJOPe3eOz2CLDs9WPU5PRl8OT0szUE9etZNPehgSz1CXlc95zRcPVrNTD1uIUg9UhZPPVFzMz3Opzk9x6o1PXwQMT3Ljz49eu5JPQVzRD08/Tc9mr01PdzvIT2dIBw9cBUcPZnDJT0+Qz89ha49PepTNz35EzY9Z083PZARNT0sLEE9fFpJPQKKTD0apVA9IyBOPV+iTT3U4E0995pIPaDCQj0oPTc96IcsPUk+Mj13t0U9E41GPcVIVj08/1I9KA9HPVIeRD1LSjg9i3U0PRwlfz1gfwU+/pUiPvriJD7cjis+8FcPPg2EAj4CeQM+O8QFPi6tHz4/mi4+XyUbPnr3/z3Z2QE+/wgNPk03HD51vsU9Yw6HPCVwZDz4JJM8hqiYPOgpmjzaGLM8z/7APOAGujzue8M8ThDKPCe8wDy1xrg8yfalPFbQqTzZEq48Ng+qPOwwpTzXSa4887akPGLEqTwL4bs85iFUPVioLD1ibac854adPAZjozzYXYM9ImEWPjM7KD44o0o+sHk+PlLVJz6GKCM+O2shPlq2Jj7v7yI+tmAnPmijMT6vA0I+Fr4+PjsoLz7XOCw+2CgkPtpaOD5t3Vo+Ud1FPrG+Mj6Gexc+90ohPvveJj43fiQ+0MEyPqfYQz6TJSs+qQIzPsjtHz45+h8+kc0yPkqYPj625xk+WWEmPhH9RT6sWYE+l+l9PmQKXT5UHTg+UYoyPr+1Mj63SPs9qqvxPDi4gDx7ZYI8GoqFPAsU4DzM7809MuKGPpfpuT7Cyco+kJSgPiGOJD4Y8y4+Px1CPrXRRD6ZdlE+f7FQPuU5Kz4B3TQ+QIspPuuVLz4uD1k+gAFUPt6MSD7H/1I+BIBFPkniOj71xjA+hT80PgFCLD5E7TQ+WOw0PtstJD5lPTs+PD89PgNGNz70yz8+PQ8wPiO2KT6dric+8XotPg2WPz55cUU+XshJPuZJTz44VmI+qpo4PniUTj78/U0+XWIpPojwTD7bl04+c5gxPsyEMD5DxxY+C5gxPsp7TT6CTmI+iG1nPrHIXD4RpCM+giAfPvkuGj4JuiI+Nfo5Pvs+QT7lWjw+HuU3Pqt5Oj5Wqxc+R/I5Pu5zMT6oUSc+ObAfPju7LD7RPD8+Ei5GPqUKNT7boS8+7OM2PgiROz7T/zg+7bAvPkc2Nz43+TI+PFM+PiCIMT7bfTM+vsIqPutBFj74uDQ+XCRFPrVTHT4dchs+vDEdPti3ID4sLiQ+oFMlPghbSj5zsVQ+Vls9Poq9Rz7hiDY+ulszPqDrNz7/SjE+kzYuPpwwKT6QaSc+hswqPp91JT67nTY+HpAzPtbfIz5+wgw+Mvz7PRwEFD46nik+jeJJPo7/Sj5RAjw+sK44PpURQT6QaTQ+28AQPnQLIT7PmiU+6vUxPleoLT5PUyc+sLobPne7Gz5MZyU+BVxEPjApQz7zE0Q+UT06PjfGTj7PAFM+NylbPh5RVD57m0Y+O5ClPTzZmT1lOZM9F+KZPZMIjD2QoIY9rOWFPWu3hD31iXg9oKaJPSvjiz0MFIs9vsmPPS3uij0roIc9vJKNPZJ+jz3UtIs9mg2CPeIuhT3XCok9stWNPbYUij30GJg97sCVPTBWoD1dx649QsukPSrGlj3anaM9tIKUPSe7gz3A5oc9s/uIPQ4Thj0GUIM9HOSMPeDLkz0s5og9LN2VPS8HmD3mA4w9mOOHPV/BhT1VyX49pNZ0Pa6ucT1RZH89G2lxPdoZTT2TB1A9flJNPSlZST2XoVE93QtZPWhKUj3v6VY9sypePRaqUj1h9XE9LqBkPSx+WT2xynA9/nVrPcA6aj16kGk9btJpPVFOXT05Ylg93n1dPbOuWj3G+Gc9UDV3PVHrcz2Yh4E94EGCPTgETj14eU49Jb5gPYwgYz2bZlE98fNSPdQ4VT0KtGc9KipgPfD9XD3SO1s9Lr5OPe92Tz2rMlw90sxNPSkfST03m0c9+cNfPSJzXj01AWM9pTOBPTIugz0mKnI9u9RrPTJAXT32sVs9YjJxPahMbz3jdGw9IOljPSpDXj3F2XU9pQR5PY6TTD3owCg91i4nPWhPLj1Yfkk9az07PYfyRT0rvUM90cA5PQa0Sz2JClA9HqhZPZXScj0E1XI9Jc5qPe3zRD1t/D49zzY2Pcp8Oz1pXkY9wxE6PZY9Vz02X109/jFDPRh1RT33Gkk9JKBNPfUwfT2QPIU9XQRVPSluSD2oJUk93cFKPf+eTT0qmz09M+VKPSOoUT3GxUs9pQFTPbraTz3rQTU9ol86PetkOz12ADs9Df5EPQrXQT0Pzzc98b09PZ4+Qz1rH0Q9YgtLPVoLQz3twzw9NXlLPW66Qj1kUTc9D6QyPSLCQj3PMVU9D1RiPfHTUz2TWEU9MFJRPcZeWj35JVU9W7JXPZ4SXj0z+1w9gG1bPergVT2feFw9wUlfPTXicT3c+WI9c/RbPTB9Vj2GLmE9RoyDPXbogj14T2093R1sPaI2bD3Ps3Y9TcZuPXGaaT3Rj3U9bVZwPbawXj1xjmw9KUNvPRkJcz0sOl09GqdpPZeIfT0t0YI9YWKMPXUqfz1Q5XQ9zwKDPWRcgD3dUnM92fZxPSOKjT2vDIo9MuCAPalOhT2oZIk96SeWPS0ijz1kD4w9qKGMPSVmiD3f8I49T3uMPV9ElT1b1Js9ChaXPfgOoD01lag99iGmPQOZkj06AI4996uPPTuCjT3jrpA9X9OZPfPikj0gNaM9C7edPVPVkj1IE5s9XpCaPfxUoD3RVqk9OP+pPdB2rz0qyqk9j8OnPTnvqj3Cqbs9OOrBPbRxxT3WDbQ9C8i7PRlMvj1Rz7w9wGalPacEkz13D4w9CeORPS1KmD0MLZY9eTGXPc1/lj0ogas985KnPZaXnD1dCao9jcOuPT7+uz1njrc9vii6PVWdtj2iNLQ9VESsPXsJnz1R2ZU9v2uPPdv4iz13hJY9ZTiKPQCigz0jp4s9RcCWPRTsnj3rop89q9uiPWQAmz08kJM9lkeMPaJMoT0TGaI9ccGbPUKVnj3+MaA9pF6XPVN4oD2rVa09sq2qPZSSvD30tLY9VruwPc6CrD3AhKg9YwWwPYbOuD12N709l0i0PSM9pD3g+qs9CYerPS6Rqz1/Zag9fWafPQZRrj2Xdr09VwiwPSh2qD3kD7A92ri2PfGduj16Jqw9KAywPcimoz2QvLA9/nW7PUWLwj2Rj709sNOYPckqjT3gNJM9cHibPauTnj1D/aQ9ZIinPb6atD0wCrY9QmKrPSijoz2AQZ49AdOcPez4nD0Q05g9LgyTPY1ciz2KD409SdmGPSJBhz2xUY89LDObPS05kz2Vop09JpydPaxzpT2Bd509OaCUPYBDnD3445Q96z6fPScnnD3icI09HjSGPepwhz1lW5c9tGaaPTDQoj0Nt6g9tU2sPcnRoz2O44o9M2GKPb8Alz0YY4w9vzB7PXyebD3x4G09gDxyPemrdT0domA92stiPdVRXT1Dc3w9CZ91PYdxdz0l/nw9NFCEPZzJgD1klYM9IUWBPTsEgj1OZY49bNKQPZqYeT04OGc9dTJfPXbAWz0+Klw9KxFIPWW8UD0IeGc9hjSCPabhez1ZTVg9rAtmPb5aaD2osmQ9Gd1hPb1iWj0b4F89OMlGPXdNNj0cKjk9hRtMPZATWz1dblI90EZkPVCNdj1G4GA9n1ZDPQTCMz31fz89w5NBPYQKPT2wrj09vF4lPcl3KD1sJDQ9qaNDPUfmPD0DTzk9QP8zPXXDLj1ajSo907I3PZ0GOT2Dcj49txxAPcjDRj0vkEQ9svQ+PaOuUT2QMjo9jLNDPXkEUz34Pl09MTxRPcDFND0ZUjA9J3EkPVc3ND2CaEA9PrRQPc2VWT0HZUo9tmRGPVJMQz1d7Co9xi4aPeYUIj1mZCU9O6gmPaT7Pz1sSMA9P6RUPnmPRD4hAhc+r6YKPszLED4q9Rw+wg8aPrf6Gz4W5is+4VIfPilJEz5krRU+MPYYPiw2Gz5IbpU9tJlOPNEHaTw8IZ48I32QPJ0Jhjx+Jog8du2UPKH2qjxtc6w8/eKePHdlnTyY1Zc89JWTPJTEmDwsjJI80saLPBfeoDwV0rM8WO3DPCNo5zxross8afOdPKzTjzzGEJA8sNiPPKLvkDwm5IU8kBidPHuN3jxVbZk9BjMvPlJ2Qj7uQis+r3cmPoJDHT5wih0+TbEhPuGGHz5mjCA+jk4dPixWPj4wrCY+jaUnPiYWSj7qql8+zWBXPvBMSj6MwTI+iY0SPjgZHD5xixs+RhsVPifZLz5l2yw+f0xOPuTgQD54kig+GFoZPk0FHz4LDyI+7TgcPhrZQT6pd20+0AyCPn/lhD769UM+O2A+PkeDRj72h+M9rV3qPMd4qDzv+ZE8IeeAPObvaTy/RU49dI1oPsHzyj4EV/M+ziqaPvIjOj65Uyo+zEM9Pp1BPD7pBVQ+khR4PmqQOD5mIj0+5404PuCZQj4ji3U+KtRePi1TUj6StUc++bQzPmlWMj6KqCw+I/IlPn8DLj4cITc+yG8uPlDtQz7PKDI+UHYlPjxiMj7j0Uo+9OU/Pl13OT6zAVM+bQJZPuGbPD7qviE+m2Y6PqvNPz5k5Ew+LUhGPoahNz4rAT4+eCs6PvvdTD5Z92Y+/qRBPgwhQz4REDw+FyQwPj6MLz6jY0A+TFZXPtcXNT4QKgk+X8QXPv29KD6uwD4+8tFiPrYCRj4ShzM+ccgxPqoJMz7kgSQ+1boxPhUBNj4NjRk+IJIdPoubLj71qSs+87EfPhdcMD6L0D0+4Ug/PkfVKj45ri4+W2k8PrYlJD79ayA+c1M3Pu8VOT46oyo+3HcqPhOTJT5H0Rw+iPspPurHJz4p/Sw+4HEtPtJTJD4ZqSY+1pIlPvJ6Jz4G0D8+2LUnPlKVJz6yBSg+Jf9CPtF1Pz64ViA+b/ItPrpcOT72tjw+H4MwPlFZMj79PC8+PNUBPuo+Aj5+swM+w+DzPYt6Dj5yhDU+Wf9JPtRTMz6rhzs+1tU/PlOdMT5KVxk+f8OmPcdcQj3TA6U9W2sjPiXKKz5xMyg+b2shPrdALz722UE+gds1PjT1OD7bCUE+0zlOPmq9Qz5YXEA+Tkk7Pvd0Qz5+Rzc+AludPecNmT37D5s9+pCePSvOoD2FJp89LKOWPT6clT1b3JU9ZWyTPaCqlz1xfZg9bliXPQmWlz04po890P+LPUTRgz0u64E941OJPSZHkD0gipg9rQ+SPev2mz2Ww6E9K7SlPf5aqD3/WqU9dtecPbXulT13NZE9ZsaIPRAEgT1HjYc94ESGPU1Pdz0C0G49HiuNPfSGjT1ga3894nmAPWELgT2JUYM9ct2LPQKShz09xoM9nhGNPbRKiT2V1H09lD90PZy6Zj0m5XM9uN5/PdatXj1at1A9DqxVPV9vVD05K1891itkPdj0XD2Qrk89kVxMPTW+ZT08xWI9VaRmPT4LXT0ymXM9T3qBPfpKbj0llGI9r6hpPYgaaD3dGXM9e3FjPargWT2+2mI9YehmPZOIVD3s5Vw93WVyPVMtcz0HsGE97+1iPQhdbz0LLW89G+NbPe0eXj1STWc9CMlSPZmyTj2U+Us9QpJZPcAcWT3e8Uk9GLNGPckhRT0VM0M9AZRbPdswZT1k12w9qUp5PWA9bz0SpoA9S9J0PZp1bz0aTWs9wgNrPUlTdD25J389TDVNPTLyND36ry89xkExPR4jLz1jgzU9iTw3PcmYQj00eEw95UlDPTyHSz3J71I9wsVUPf0EXz2OLlY9WBk+Pc5YOj0t3kc9v3E7PcTGSD3L7kI9PfNDPZ00ZD1INV09CIFTPULxTT3VslE9O6lbPT+IWj1rK1s96bRKPYF6Sz3VEWE94U1RPQDIVj02GFc9wOFHPR31Sj28TVk9h5tXPS6hST1IoEI9npc6PaXFNT1gJDI9+Co6PU/URj2oq0892uRPPSDIWT3V20w9K41IPV6+Uz1tTUw9nKREPWQlRj3eSlM9m3ZXPRE8ST1iDkw9t6ZoPSVYZT2TdWI9SGxcPSOGYD1DuVA9FAFQPbWMZD2B6G09S3ZpPbvMXz0Oolg9RHZsPUGnZz2knGA9skBwPWsccj2zTGw9qZVZPY3DZD1NY189FQ1bPb6gYz0wpHA9c29yPT9dcz2w+nU9D65vPfElcz37CHM9ecd7PQ3Ebj1AFXw9Vk6BPWgBgT3+k3M9pEZuPRDmfj2NC4s9eKSRPTqAhz2n3YE9pFSIPZLYhj0553o9hyx/PS3Bhz2Uy5I9tXWNPepJlT0DqZk9iTqJPSkNhz1+tIc90tmQPVmgmz02J509/VeQPQODlD2bn5w9T72WPeYflT2s65k9dQKhPWOVpT33j5w9gOKqPUQypD0Q7Jw9kp2ePU8Imz01gJc9FC6fPbBboj2xd7I9LmmwPYwErT0mALE9TbSrPUlorj0wF7g9rJC+PTzMtT3667g9I0HAPbmrvj3q+qo9h1maPalflT012qE940GiPc+Gmz0jlJ89PU+ePRuBnT2RsbI9ST+mPTpDqD1AzrA9xBKnPbknqD2jL689BRO1PRdVyT1MycY9FyexPSLdqD09tKA9rgedPemrnT1dY5c9ASKMPdJqjT1Gvo09IJePPdLMkz2dR5Y92TeUPffykz0zA4s94HyRPccwjj3AapA9rsONPStOnD0pwZs95u2hPWz5pT3Srqw90eWxPVVWuz2bmbY9ATSwPdUUrj07Iq49khKsPV2Erj2d7bA9JH2yPZnyrT1jfq09Rjq0PTKGsz2OHq49bcmoPSvnsD2HYLs9kwS9Pdfcsj1RV6s9IyOaPWr9lT1IFqY9XVS1PVhYvT1rgsY9p+a1PZuKqT3Z+LE98yOyPavkqD0esKs9kVOnPab3oT1Vsqc91u+wPd+Vtz1Avqw9YnudPeLTnz0vA6A90uOkPRPqlj0xGJ497XycPeB2jj3hsIo9FxGNPePOkT3PxY49L4OYPeDUpT01Kac9CoiXPf0ImD2Y64k9czaKPQA2jj24VJQ9wgmdPVy1mz2topI9NTmXPSMkkz2IWZU9ksedPW5PpT202bI9qr6lPUpimj0ZUZs9vmuOPexefD06GX49AnNrPZ8vaD0H7Wc91VyBPZV+gj1XbXg94od+PZusgj21WpI9NHGNPc49dj0icmQ9uT1wPe5gdz1ONHs94Q2EPWW7lT0d+Z49U+OZPRojgD1o0V09DvJdPTN5ZT01LGg9q/NmPZbcaT0lC4A90b6EPceVeD0DBG891LlePZb3Tz2g+UA90GZGPfoTST05fEs98INEPSrGUT3NSlo9hYRtPZmZaT0WUl09pCBIPaT9TD1lLj090XcoPZtjKD0/bSw9qRhCPVP1Pj0WgCs9b9MiPaoLIT0RdCo9GKo8PcWXMj1uHy09Ulk8PVJIQz0DLTo9c29OPdr5Uj2gjUM9MxA5PRzRMz341jg9LS9NPeNeUz0db0M9Y9NUPQTfST2k9z89FNYqPQKGKz3foTA96LA8PVIrPj2osjo9LJo4PaUoQT3PuzM9aHwmPUWXGz2JRBg9FjUZPSbPHD0g1yA9ikYmPdqJOD2alX49NNshPg1fTj4eshg+9O4UPqE2Gj7E1h4+CAkcPl9zHT4g8SY+pOQmPpU1Iz51Hhg+grgZPuhdFT5NiOM9L5vWPIm1Tzz7R2g8jJlwPDkdhzxGZKA81160PHrHqjzjCHg8D9RDPComPzw9IVA8kptqPOZeiDwY5Io8ROF5PK6ohzwSpPI8RLCtPXVEAj5Dv9w9GcaHPfYxNj38yDE9m9SCPT01rz1ZMzo9euMvPC8eRjwjLx09FYEGPnFHMz7qFis+DzkfPv7zMz7jRDQ+oH00Pu9HFz4ZiB4+q3oaPpE5Mj4raCc+8vwePsSRTz6TwkQ+1WIiPtWdHj5ioEE+lcgnPhuZQD4EED0+sg4zPhSkOT70OzM+elo6Ppc/QT6dTjc+aawaPhdFEj7pVBk+kvwjPlkyHj7XaTQ+lMFZPlfBWz6LXUo++MpIPnZlMT7AIaM9U4aBPIq6izzE+Vc80eJFPMZjgDzBUIs9xIstPvbOoD6bpZ0+ASBdPttNNT4oWEU+QrhZPoiPUD7wvDc+B85MPsLxVj6ydHQ+vxM9Pif8QD7EwUs+IjU3PglJOj4oYT0+508rPlFWNj5XXTk+fiopPuV/Rz7Z7kI+2dktPl7FNT5qyjQ+E9k9PmoxOT6lYC8+qzUuPlfqPT4gtFc+hzdLPqufLz7OYyg+eCUxPlPlMj7Pm3A+SuOIPpPWMz7QdTA+E81HPtHSfT6p5FE+b2gePkIFMj7FBB4+jJ4hPusPUz6EjWY+1Q9BPujoEj5q4Qg+3GwaPoNsLT7BZjs+16VlPravQT49xj0+bbNBPjeBLT6R3kI+LPVGPre6Nj4FNSc+ciUTPoMEGz5EryY+8esqPuiSMT7R8SQ+6Y8ePs2WJD7FFys++os0PuX0Jz6K3yg+fhovPqWEOT7RiSs+5UcuPnQdJT5/miI+cqw8PsBtND5dcy4+l0MqPtF0JT5qqy8+vkIuPhWTIT453zo+eIInPk/NKT4NTDg+JD4vPs7WKj4PIyM+AP83PnAvPj7cODo+5PM4PkwFID5TlAA+2DIGPkF2Dz5JrgY+tvkAPvizBD63qC0+XvFJPm+HPT4PXCk+p/whPnwLIT6O3SQ+tWMvPjLtFj5Q3ho+YmMqPrBMOT6xzUA+KBA4PvK2Nj5h+kY+02xPPn1DXj59Fl4+O99RPgN9Tz6mXEk+hAxNPuixXD7V2Ww+/seePTqWmz18upk9OqGoPREMnj1oEqE9sHOkPZtKoD3Pm6U9zXepPXQMpD1naao9v3yePcZglD39wYw9NI2HPV8zkj348pA9diiVPcq8oz23x6I9Mh2iPYvSmT20np09IT6nPR1Dmz1/YZo9VmqWPZ/djj2NO5U9xW6XPQHRjj36nYI9hr91PT3Zej3GcYQ9RZWOPdBmjD1O/ag9bc6ePUHqmT3P9KI9d5aaPVjMjD0AhpQ9DBSSPSGJiz34mIY9du+FPXU8fj26VW89tsFoPbiqVz3TJUY9h4pIPVv3UD16X1o9rEFSPXRkVz1C5lo9uohgPaBngj1fong9G91gPeqYaD0lp109cvdqPf8lej3B1YM9VvNfPUUXWj2BUVk9fIhmPbFgaT2WWnE96AZ6PQHZej26ToM9IUtwPe32Xj12IG09x8VrPfYNaT33K1o9Z0FLPSlyWD13rkg9xvBRPV09VD0OnWY9465gPVsYUD0irlk99fBUPdqpST3BNl09GshmPfi0dj1dLHc9eDRdPZqYYz049349GjB1PVOdcz3GTFg9kl1cPSRYeD3jD2g9T0JTPQXTTz386kk9kwI4Pb7OVz2Jl1E9QrRIPcIRRj2irzQ9FzE2PUX/Pz1K9Uw9WotOPW1LYD33uGE9DSJsPQh1dT02lVc9yM9PPavhaD38NVM9qR5SPU4uaD1pq089ag5KPUfSUT2pkEk9bNxTPSlXVj2IoFc99mVcPZB8Rj0AIU89cUBTPfP5Sz0Kiko9fwpSPUHfVz2QF1s9FWhVPSepTD102UE9ET1HPb8EQD0C2049tmtSPfOeSz13pUc92sNXPRARZD1Nxk09RJtMPRY7TT36rkI9qv5VPQb0Uz0VNlo9+Ml3PcfmcD3PwFQ9DdJbPXRpaz3oo2Y9vV5UPdcXST0Llkw93yxePe8CfT14+X49FHB1PTqfYj3fAmc9j7BxPWn8aj0oCHo9FTWEPbpUgT3BtnM9TOh0PV2dcT1Him89JkdtPQR8bD17BW093UuAPbSiej1MA3U9BZNnPcp3aT27KG89WZ97PeROaD0zCXI9TpaBPdI6ez0svoQ97u9wPR2Oez32JH09x5aNPXiEgz0lCIU9iDuBPVAajj2i/o09quONPY+Zkz1B4p097rScPdhXnj2f05c9gpSTPed4kT2NKYs9s72KPek9lT1pN5s9eq+RPegRjD2ll5A969mWPbwdrD06nps9RiyUPTf6lT1NeZ09/m2aPSPGoz0ZZ6Q9nVycPRFdnz3rtKY9L/ObPcadpj2zsKs9bTG3PaiuxD1H4rs9+ZS7PZJWvj3+y8I9m6HMPZ9Xyj2KaM89D07BPbb5qj2WR5U96MWZPWusnT00upM967+VPSGLnz3e/pY9CPuhPWdNpj2mXqs96EKgPSztnT0opqY9ZB66PTY4xj2pYLc9k7q8PYxXwz36hrk9veWuPUGSmz0Oip89uJygPRwyjz1yfIw9rPqGPaT0iz2cQZE9zUiVPeVVmT15sZI93kyOPczGgj3gsYc9sZKOPU9+oj2A6689YU+cPR0imj2DyJ49jl6bPbrqoD3VzaU9iiylPR13uz03S9I9UtK9Pei9qj02urE9w4uxPTFisz2st749Kju7PXNQsD1ni649bOmoPQzsnD3zyZo9URupPb1Ctj09a6k94h2ePQAiqj1J8Kw984GsPZFiuz2Qp8U9+qrUPSLqzT2cXbI9HhOnPTWCoz0tt6s9vb+2PU0gtD30CbA9jvKiPb+tqj22u6M9pmOlPTKgqz23p6M93W2iPeqHmj33Rpk9tg+RPXc8ez3X7oU9vxKWPbKnlj0sAZQ9eHGRPbMSkz0eA5o9OwGaPZyZnT3GsZQ9mWyRPekRiz3j/Ys9LWKNPZNRkz0/pJQ9J2iWPf2EkD3tJJI9y4mTPYokjz0kdZc9A3+iPb/Lnj12dKU9XEyePX0xkD2xxYc9hH6BPe/gaj1md3096TR9PYi9eT08RoA9w6eDPZT9iD2kFoM9UUiHPdAVij2cpY49IJyPPeiAdj0yCHQ9hKN2Pbssgj2R9pI9ZNKOPaxdjj1XJI49MjuFPddJaj2OmVU9095RPVPOXT137mA967FiPWuTXz2QEnE9PGx0PRFwXT1v71I9gZNNPb0mST2Ygl09MBZZPcuMUD2o8Fg99NVxPXNvez0Dj4A9LCNiPefeXD1exko9wAwuPbQoKT050i89kuYlPWilLz0V4UE9zDE4PVjWNj349S899c4yPQ9gMz32ljY9ZpdCPWzOKz1RcTk9+Ks7PZA1Qz121Es99VY+PUg6Uj2/cUU9YtI6PWPVOT1asTo97ulFPRiFRT2fjkI9NxNLPTMrQz04pTE93MgnPdz+Ij03cSo9w+YwPSzzNT2JC0w9M2lWPYyBPD0gWyg9YYohPf2sHT02FSk9ZcA2PYT5QD19Fz89qTA0Pc37NT2hhZg9MR4IPke7Iz5yRR0+jDcfPiGrGj6Enhk+DjwcPnMUFj69JCE+h7AZPp7PCz7Z7w4+AngfPq3uDj6bRu89KCCUPS0DtjxvtE086xB7PKLsOj30wLI9kCrWPeyw6T2Pi689HaoPPcqqETzDNTs8gxFlPGlyejxyLY08QLiQPGTSGD3AZNI9rd4ePumVJz6XKB0+psoTPmQMHT402x4+l1QYPiFlGT4uKJU9PFFDPPrIFTyflaI8THGxPah3MT7/E0I+rRY0PmV1Lz5/Fio+GS0rPoE8ID4f0SQ+D9A0PqIXNz6qSyI+3T8cPpEhHT6URSs+bXtAPqm9LD4GmCI+XGcTPnjsLz7jNE8+Zw9EPpfbMD4G2iw+olcoPuzxNj4pIjQ+F7E8PiExLz4KIy4+7IYaPpJlFz6I9iA+qiAnPm7FLT7f0DU+r0U+PoadPz5TRf89T9AjPY9qizxdNiU80W8sPFR3nz26pSY+tVExPgJTOz6/Vzk+KS1VPguoQT5dTlU+4IJgPiAGTD5tE1M+8wJMPi42Tj4Mal0+Wyw6Por4ND5NzDE+0nA1PvKvOj7aLEg+bRRLPkj8KT5CMTU+vJomPuLvKz582C8+id4sPnJYNj7orkM+gjo/PoGRST75gz0+KEkbPiFVRz6oD2g+5LBBPlWtFD4QI0A+PtYsPog9FD4x/zA+H1ZyPssMYT55CEE+vVk8PjcZPT4KUSQ+y+MePtySIz7SGSc+jBIxPgexQT7Eyl0+Z2o+PrGVLz7FciM+3s4cPgtpED7O4h4+woxWPkMfVT53oTo+VfJNPkX0Nj40KEI+xW9CPs0bOT40ujE+BughPrdrED7AQDw+gBgqPrFgIj41/C4+sHlAPp8Kaz5SxIY+dS1sPiFOXj5AQ0g+YL4hPjCfJj6AFSk+QEdMPvlaOD48DTM+qY09Ptz9SD6gZSM+Wf0XPuMhEj4KWjE+Bc88PsbWID7TvzA+8GM1PkmAJz4xzBI+4Uv/PYbyBj7s5wM+yXoPPnv8GD5KzBs+NI4iPmOyHT6HmBw+JC8vPhSEMj5d9CY+au4pPn+iIT4CCzM+k4w8PvbLKz40wjQ+e2g4PulePj6dN0c+1koqPmCyDD4mAgA+fSINPiAfFT77KxQ+CxklPi0lKz72Azk+tblfPgNKbz7qrWc+Ek5UPsl5RT4y7kg+wsF7PktIgj4BAX4+dEeqPaQ0sj1L1cE9aPnBPYQMtj1e4849lynHPZ82rz3t75k9VkiOPbLThD3LMI09NvOMPcwsjj2sqZ49+KejPfpIoz0w5qc9MYywPafOnD2bapY9iuCPPWs9lj0ZdJo9QCSiPY17iD3+B4o9qhONPX8vmT1ehZU9LkmIPeqoeT2r4oU9bz2BPUQAeT27UXc94eqHPVNRjz2dDpE9hpeHPYl9fD3GwIQ9NBuJPbSFfD11xnA9O6xzPUbjXz0YGlM96VFNPQxVTT1BjV49YIJnPbPUZD1vfGg9tqJlPVnxVj0dils9ExlSPTEwRj1w2FA9avFnPfKVXj2bg009+B9nPctcdD2FdW09PMpmPZF2bz3XRFg95CRAPSWxSD1MBEA93VliPXO9dD3X7Ho9IbZ9PVVIaz1YoWo92PFgPRncXD0AaVk95ipxPRl2ez0kPlo9gKFVPZDcXT2pO3E9Cs14PYcncT1cEVI9OhZQPeTFZz01OlU9s39hPcN7Xz3iXGY9tBpqPfp0ZT3nQXY9+MVPPTv1Wj2y/3I9JkFYPXZIVT1QNGU9zTZoPbD6XT2nYnI99318PU7paT0i4289L8ZxPZaYiT1VQII9TuFLPeOGMD36SDQ9D4BLPalGVD0Yb2U96ahfPawhWj0gX009Y0RiPXSyZz0Jr109m2FcPRReVj2K2lk9yLVvPT9Qbz2d11k97rRVPZdWVj038FQ92m9UPbv/UD0BRmM9W+laPR4PYT0H2089DP9MPYM3XT0LZks9XMc8PUXnTD2aj089dCRIPaMrOz1g4kk9l4ZBPS9vQD0LH0U9RtNGPeUFZj0s7GE90ZJPPQbzYD22+149mbVNPYABQj09c1Q9aqhkPVjzZD33pns9p1xrPZ8wXT2C6WY9Yd1qPWotYz3ncG89jydjPe7lZT224m091qdnPSBwYT3lZmc9AtVxPaAcgT38XIQ95T53PbUYcD2Gb3U9zzmBPZENij2gX4I9KUp/Pdz5gT3/Hnk9kdOHPeOpgT0O0n0977eHPXZuiD35P4g9ZFWJPSYCgD2HX4A93nCDPTXHZT0FbG09Bw90PS8RZz1NKWw9lJSKPZJKjT1OMY09P6OLPSWaiz1DPJ49s4idPYQzmj33DqA9RjmUPWZbkj2WJJk949KPPU8zhz3rlIo98fOQPapPfj1eeog9KBOPPV9Glz0+8KE9nxmmPR8Pnj163Y49VoOYPTeLoT1CxpQ9BkeePcM3nD3tmKA95pKYPeydnT0IiLI9RdamPVCblj2e+p89oeOmPbBCpD1unLA93Ne9PTxXvD2aGLI9yeW2PaK7uT0gdqo99O22Pa+7uT1fcas9VMuiPa/ToD1vt5M9j42gPZpEqj3ilKc9aWi0PcQcvD2fzKo96DymPUR+qz1Xt6U9N2ynPdU/pT36qbg9MHHKPbV5tz2vRrc9JISzPXOnuz1ondE9UgeyPSV3qD0JA6Y9Dy2WPVsTkT2hBZI95N+QPfkrnT1ASpo9lOqVPTN5mT1LN5o90NGXPXB3jj0lhZg9zeWlPfCdsD0UDa09kcybPR7Klz3UW6I9r9qgPV2isz0OE7U9bnavPZtHuD0TPMQ9u+zAPQVXsT3kUrc9INXKPcUuyT3xKsI98f+sPdSVpj0t6689wU6pPU39qD1V7rE9/O+xPb6ktT1G6bA9JjufPVx3oT0o2KU98WXFPfUg1z3iTtE94uHLPahIuz2QPKs9uHivPbpDrD1CWqk91aW1PWXItD0o4rI9dritPe+mtj3qFqw9b/qkPVwBpD1DBaQ92N6oPYsdpD3ax449LZmLPdkHjj2pgo89vxGiPVW6nz1fopk9d+yjPZw/mD3f4JM9RE6aPZ4Ylj1La4I9TuuKPcWFlT3PfKU9W5yoPQ22lj0cRY89h6iXPc+1oT3LTZw9UaiZPbZ5nj18Yp49ehepPZ9Zlz1GxpQ9eoKNPdFcgz2p4Xc9Zo+APQRwfj0ubYo9HoyQPa5/kD2nbZE9BhGSPTcvnz0QhpA9cdSUPTl+iz2JxII9Z9SAPQX4gD27hI49ez6QPebjiz2SDYA9JJhxPQp7gj0nW3Q9uNh6PYNLfz1B33c99T19PdZgbj0hwHU93fluPT9iYT0lZVw9OCtaPdUeaj3CPmE9rUtdPazrYT0Zv1g9QhpiPbILdj2H2IQ9g+6JPRu2ez3ODm09ZtBjPTP6Uz1mYD89zrI2PZ3hOD0gnzw9a307PWw+PD0/vzs9R4coPWuoKT0NDDM9bMRBPXMhQD1IekI9mxs3PVYHUT0i11w94eRWPQziQj3HXlE91pNBPcTiQD21kkg9/es6PVi3KT2U5jA91hY3PToxKz2mHyY9ckorPeggMD01HTY977YrPWsHLD3NVjo9OUBAPYkdOD2fbjI9qAMjPf2FND1OjFI9eidPPdqhLT2ZRTE9uCpDPZacQD1rpT89WsgjPcj9TT0moPo9l3wfPitaGj73aiI+UAIdPuFqED7S1g8+tLANPunIEz4Y1ys+d/AkPt/cGz4Z9xo+164YPs/gED7Dz989saEpPVighzwVOZI8u5t+PT65DT7tmBo+GPgYPmJbET5TKh4+/CEBPr1P3DyhgEA8zMt0PKm3iDz2woY8XPbGPMp7zj0Qixs+kKkdPsn3Oz6vYUQ+OnQ0PqX6Hz5kVS4+bl0wPqEQQT5gUh4+WjmcPZkSkzwRxhw8iHS3Pfv8MD5VYBU+X6cSPj6XIz4IVi0+yYsvPg30Jz5mESQ+z1ofPo95Hj5sHh8+PqMmPpQqDj4Wvik+aJswPvrhIT6p8Rw+W0kZPhdJPj46m1M+THE0PlUzOj567Dk+DLMrPrGMKT4V+S4+Wlc1PuhLOD4V/Dk+neQmPhElIz63SC4+OXofPrXZHT6s5kU+xLQ2PvuYKT7s/SU++pgwPsr+FT6uEpM9MKhJPQ2+WT0fA4k9mcm0PdhKIT4U3WM+red3PgMBYT5X+nE+t556PgUSTz5dAGw+MAWFPmI5Tz4sWyY+yiYtPqeSJz7KSDY+MpUkPjgAQT72m1I+4wlQPssqLz5ZZyk+1+MjPkBvMj4XdSQ+jA8ZPh6oJD6JTEk+kddcPu6ZTD5gzTU+/7IhPpRJMT5eTlg+sPtNPqL5Yj6g/Ws+4BJLPkAmPz57eWI+qA1xPuz+bD47sUU+f0crPkqjIj7c2SQ+6WUpPjvmGz6Xpyw+LgckPqvVTT70Uz0+f6c7PqvsdT6f9Vk+gIFJPtAHMD6pwiQ+CDFdPttlYT4WJD8+wrJTPoExOj7qK0w+Z7o6PkDQJj5YPyY+XmksPnn5LT4r+Rw+UuQwPmwgMT5IQTI+MaQ/PmvfPT5idIo+nF+BPvpVhT4/SUs+C5sWPvjgOz6e5z0+ZuFMPg6IPD5r70U+2DpOPpikRj7PVDg+6/82Pn+IMT6O4zk+PeRgPqU1IT5D4BM+Ehc1Pv4RDD795QE+qN4DPmcC/z3hSPI9QObvPWyiDD48AiI+w3EsPohPPT4LZzk+vr0vPoN0Jj51kSc+Nb4pPq8rLj6xFi4+3G0yPrA6Nz4J5Ek+ekVKPl8zPz4tQSU+4PAPPmSZCz6z0xU+OpcZPswmOj79Pxs+TiwWPsHAJj4ldhc+bYMqPlv2TD7xzF4+NDdlPtWRYj4sokA+kpJBPuvVOj5ZrTU+7Z/FPbBTwD0A0LA9KQSpPfNwoj1FNpk9noGiPacanD15hXk9/0J5PcEKhT2AcpI9MOKlPUQGtD3iGrw9IiurPeHlpD2N0qc9WgGdPYfhlT2ZPZM9dsKaPeOojz2thYw9szumPdBmij3F0209/MNuPaaFhj2C9II9eJBlPVpgXz2wS4I9ZPKEPYWsgj3aNoY9giSEPWEJhD13W4o9/zmPPceaiD1T5XU9i6iEPWmZez0rXlw9PKaAPcK9gT3D6Hc9XcNuPeWxXj0paV49rHNpPWjmXD0GI1M9wAR1PRLTgT0U5IA9EW5gPXy4WT1dT3I9SVVcPYIxTD3Bt1o9j9pbPTKoYD1gt1I9bOpMPTvcXz2OeFs9zDxUPfuxVT1a01E9PNFqPSs6bD1ddmI9NLuBPeQchj21LnQ9nDFfPS4YST3W2VI9ysxePQ9eVT2Co2I9bZpVPUiQQT0CYFM9Zx1yPfrnZz38RFM9CnNcPZqVXT08o1E9evBgPaMAVD2VF1s9uYtdPdYleD2J0G09riNxPUjSdT1XZXw9AntnPergYT3NH1s9CBpdPQNiXD2BXGY9++l1PX41gT29Q4E9icluPeNMVz2otEg9xglIPayJST1VW0496ShdPUT2aj3Ph2U9hkVtPe7MXz24r0w9ak9CPcoWUj0wiWA9AUVrPRcjez1VSV89ut9fPXidYT3+5lE9P/hFPcn3Vj3E9Uw9VPhcPSEMaj1+12c9/slUPVzjWj09H1g9x19qPX+CaT0sJD89r1cxPaQ+VD2g2lM9yQBQPfSGWj1iy1Y9p+BUPY8WTj2ZEk494G9CPaGfTD0yoFs9ColhPQOsVz37HVg9FQpkPVr+Tj2ilE8969tdPYtWdj0ynnU9am9xPcVmXj1IU3s9idxoPa91Vj0knmM9Zx9mPdn3fz1Uwng9D+FsPZIicj3zv2s9TPR8PZ9kdj2kJHE9by5+PZxwfD1tp2k9EAyCPf5tfT00D3w98HaBPfHkiT1aI3w9xNWMPQOmhj1ARH49ZIVwPTlGhD1E83U9L0RmPV/LXD1rD0s91QZQPZHmUT3lb3Q9DwKAPTxNgD2xzXQ9O2CEPT37gz2sDYQ98v2OPXOSlT38Opc96CSVPV+Fiz0THY09CMmBPWD/fz0+eIw9Y0eGPROFgz34RI09exGPPQiklz3GL5k9x+SPPehGlT2h65E9FUCTPQISoD3R3549ICSkPekJoT1jbZ895gyqPUbtqT3nR6c9ZyihPa3Qoz2Nn6U9mlCXPThzlD1htqU9WqqyPVJjrT1vq7c9pyy8PbeprT1/7Ko9mrCsPdMssD1ceao9H1GtPfw0pD0BtZs9DCqgPXNDnD3Q1po94BCdPf4npT0A+aA9rgGoPfXZtz0xU7U9IZa5PcPYrj2d5K49BxSwPb5vrT0tUdE9J2e+PYYGuj23aME9m0fEPbGKwD3o3MA9DsOqPdzZpT3ltLE92jqpPVyomT1RcpI9j1mbPbEVnz0yPJs9M8SUPT3Ilz07cKE9eh2mPdbJpj3jpaI9/ZGjPSkNpz2wva49memjPfL5rT1pA689uPKxPVe/pj24rqU9Be+qPXWUrz09u7A9E0OoPRxMpz2Z9K09p0KwPYxHvT1czrc9C7+xPbwtpz1wabM9wfCtPf07tD35F7E9QmihPeMOqT3ilqg9Q7KZPfDXoD2bUaw9dSDGPf3Avj2bmao9QreoPRLatz0vCcU94um2PZV0nz0pbqA9PVukPU8usD16erE94UqePReAlj36Sps9mWGtPa3gtj2jg7I9kDaYPWkEiT3neoY9NeiJPafvlz2JZqE9KkOmPexKnT1gKJo9WOCNPd02jT228IQ97VmTPfcBlT1iBJA9vSigPdCqnD3yZ5w9orqqPRT8mz00k5g97emqPWTaqD3TI6o9k16wPSvFoT3asJo9qTeRPWnBjD0+zIo9fRyHPRR1ij3FwIw9KoqMPRZvlz1ooaE9pZKZPS3XkD2InI096ReIPcWqhz0wKYo9FEyXPVr+lj0Zf6I9XHiQPYDfjj1xdJk9Ao6WPa0ThD3AknY9YLFlPR74ZT2fX249n0p2PawXfj3F1Ww9iK9pPSKfbz1Zt3E9EbtnPR1sWT2b4lg9hZZkPVPYXD0/qkE9nC1RPbpOWj0p+k09DcVPPRf2VD20gFM9qW9IPd07Qz1WTEo99gBaPbn+VD38lF096BtcPU2ATD26yD497cpJPdbwSz3L5TE9c98yPZ5pJz3MVyc9R0gxPXryOj2hUTs9IeRcPVMsUj28CDM9GbE0PXu2LT3ZEUE9AVZQPfvmST0y9Eo9jr1BPc3+LD0jviU9/f8oPY3PND08SjQ9tTQ0PaisLT2gaSs9aew5PdqkVD38AD49TK81PXyUMD0bkCo9myEsPZESMT0PjG09klldPbLVMz3f2TA9/Xk2PZtwHj2COgU961FGPciO1D2SqxQ+JTMpPskUMT4hwSI+f2kTPoW6GD6IoB8+h7sfPjUQIj5zyig+EPopPpwjKT5TIiI+jGYjPpUEFz5ffuY9/3ZBPUKmGz3nKMY9SbEUPlu9Gj4KaSI+EYwXPpA8GD4cLxc+8HzsPXc81Dy0Cm08rEemPNiUrDw35Kc8aZ/APEob2TzO0/88GIQ3PUikhz1yIAE+LoAtPmofLD6GrCQ+g8U6PqNfQj46ukk+ayZEPsaEFD4i/Pk9W64sPuNYLj6gtBw+qGAjPiNVKD73ujU+aDE9PtFcMD6h6hg+rCIhPmvPJj4a0iA+E+goPrXsFz59/Us+NQQwPlZMJT734zM+laouPjSPPT6ijUI+mZgqPu+eKz6Y8TI+Kxg6PvjaNz7hHjY+i8goPu64HT7b9io+UyowPinLND7m6Cw+VJoLPsNcMD6Gyzs+FaI/PlYKOz7CORw+rZwmPlBHQT6rej0+Z7QwPstVDj45PZ490cVxPeY4Yz3M6BU+MZ1APk+RJj4JyEE+LwJnPg6bcT4I0Tw+Fp4hPiC/IT47YSY+IDs7PpTcVD4Yjyg+ghE6PuP7TD4l1Gc+rO1OPt5lOT5vDS0+lSQrPgBBOD7Q8g8+U38VPvDYNz6DOjo+djkxPt0oJz6rkC0+bWk1Pq4FMD60nDg+x90rPiAqUD6bE4A+7iFQPpGMHT6gEiU+7T8lPtfKNz4RNVw+ItUaPlUUDT4iIRM+PaIbPv23HT6suCs+I+UvPpSvNz6FXiE+Aa4rPsYKRD6yz30+9cOJPtFUTz534Aw+ZjA0PiMKXj4bd0Y+zas3Puf3DD644Vc+japKPlHKJT7BlB4+neodPi/cWT7H6jw+Eps3Pj05Qj4zZyc+IYAwPhqqOj6/FWY+wKGFPkgyjj4caWU+/MEbPnJmLj4nDi4+gIdEPkd4QT6UAks+q6UrPmXmND5dfUQ+IIw9PtVCLj51XB8+llBNPjtYNz7wJQM+9//zPXKZBj6+kQQ+R14MPjxUFj5C7As+RLgHPjv5Ij4QADg+IM8yPvCRPj6T9jM+2bMnPtYLPT6Qhio+OAUhPrp3Iz5cWDU+7f9APgIBMj7Y4iY+MdgWPofHIz6Jyjc+zZg1Pi6xJz7edjU+SvkiPlZ9HT6GgDQ+ZG0sPnnONT4JMiA+Hx4NPsxGND6EGUs+LuxXPq5JUj7rJTc+tcw+PgU8ND6Cci4+jG2aPdJ9mD0zNJk9ImabPbaFoT0aMpA9xtCMPan4hT06TIw9aeSQPTX2kD3ZaJg9AeiqPaprrz0ud5s9FeWSPSTqoD0ZS6E94xmZPc76lT04eJU94omePYrklj0voJg9SIWJPT10jT0AUII9Oel3PdL4cz0JzYI9ayiAPUbokz25M4w9MlR9PYfYgD0a0449z0iUPbY1kj3SZI89BFOKPS3VjD1H4Yw9eN+JPSuNjT3PnI897UmWPXb8kz2GAYM9EMR8PdX1bD3ijoQ9fDaRPSjwfD0vfnI9ckZpPeTSaj1dl249wgZSPY4dYj0xY2w9OPtuPUkqYz10n2w96bdkPcJrVD2OA1o966NXPfvbXj0JolU9RHdUPTm+Wz2i9FY9BzNhPWnjaD0FDmA96apfPSo2UT312Ek9sIFOPfvYTD0Wbkg9UiZQPXO2RT1yiFA9hQlZPSzaYT1TSmw9LchZPZoiXT3Ull49OrxePWyQYT3uMnA9wNNpPWMnXj1PJWc9LNZ+PX6bgj1TbG09US1wPf9vYD0qvG09knN5PQBFfj2bKHU9oP5oPafFbj2lGIU9a2ZvPT5ibT0vS2Y9tx1kPemtZD3xEXU91kGJPQW/gj1e3pI9eXeDPSYXcj2rymk91xhWPR7oNT39PEY9LB5iPUHNaD12C1M98aFQPZXLXT1XYVk91npGPY3eTz0Gklc9DthTPWAdZj01ulo9LBhoPcdtZT2iZFQ9C9xUPSnGYT1D2Ew9y9JNPejfST3pZkc9CjhIPY/aWT07GV89oxltPfLoZD232F49piVvPfUbWz1LO089Hg1aPVt+YT0fL1A9i/VbPdydZT2waWA90rVjPRHhZD0tfls9QxxWPf1RZD24sG89lhlqPea9aj28YmE960p6PRm1fj25VXE9eQNjPYhBaD2bvGs9mcVePdaegj18LIc9yiyBPTAWeD24B4g9VIiBPcMbiD0yoHs93AB7Pd8Egj3aQJE9vsyNPb1EgD3Msm89JspoPWkogj0mZYc9p2iEPU8Sdz0QRHw98rt4PSOdeT2QWHM9zkSDPStHbT1uznU9sluCPYrLdj16qHo9AwaBPYXgfT1lx4k9NXGJPWvEhT3juY49qcOMPcjJhz3ggn49SeaAPX5ghT1WoIQ9jIiUPQhUlT2ek5Y9Rx2UPeutjz2xqpU9T5KjPZN/mj0eKJQ9AoaaPfgImj1y6J49ZoGfPQb7pT2se6g9VcquPVIGpj1Mvpo90WiiPUYXrz0hJKk9W3WhPRVPoD2QNJ09VkOnPUJurD3qCac9q+SlPexPpz3wnKI9VpSqPVoUqD3Ci509IJ+dPWU/pT20dqY9TIGgPcM9qD17c649Uau4PYXTuj1GmLk9PyfEPV3twj3OC7Y9OnzAPcmavj3s2Lc9Sju0PSXjuT1ZF7U9vPC6PQjYxz24Z8E9q+6/PeXDvj1Ig7E9d5KuPU3FtD2FiZ49gn+cPfJDnD1n3Zs9uP6ePcp3nj07TZ89d/SdPfCbnT1EF549aaekPQv2rj2eia09c1WsPdnpsD0ZubA9Pp+fPfzFnT38w6M9FQWZPernlT1ZjZY9TBaiPW4KrT15/rY9JXakPS1BqT0h27Y96Oa5Pez2uz2ZI6891QegPVcDrj2BCbk9fF+kPYEcnj0UlaY9VaedPYRurT1kY789c1ywPYE1rz0hjbc9+im6PWRfvT1yE7c9kjG4PaXPsj1K9qI96EOhPd+Ypj2+YaM9tDOiPTLanj2TcKE9LWKrPWCepj2kYLU9qLGxPUO8pT1hL5M9kpWIPQEoiD0NwYc93PCRPZicoD3Tv6w9FumkPR98mT1vzIs9ZciEPeaggT1lNYM9hceRPacgkT0VmpY9GS+SPT9Ekj2aJpk9g5ObPawVlj2QraA9iAqgPW4Upz21rqk92dmpPecNpT1dWqk9Gc+ZPaIQlz0S4pE9zpySPZLVnD0p1JM9aSeQPTVLlz3Rc5w9xg+bPQ+jmz1qFJY9LYSbPZBwoT2tj6A9ZU6zPbybpD3O1qQ9gB6ZPfO7kT1VIY49tGGGPQJaaz2xZlo96wFhPfM+Xz0NPV49dVhmPRrnZz2cfHE9fqZ9PUpGcT13SmA9+zZIPbnWRD2g/E89ufNFPb/TQz3r2zo9z4o6PVAkPT3pdEA9UqRHPRadSj27ikU9MBFTPdlyUz2SX2s9wj14PVmGYT2QPlA9GZ1MPdJXMz1xSiY9+YQhPWx3GD0JgiA9EZknPcagJz1diyk9zqA2PYKpSD0kAj89Rp4zPQ/jLj1JGjY9v8tNPdpAVz34VE89LNZCPXicNz1FqSc9w+cpPedGNz2IyDI9+F4uPQ1JOT0gujA9pwY/PdovQD3JJkk9xTqTPQM0mj0qSD490RI4PdG1RT2800I9d5dOPWFNfj01EaQ91WTFPQ6Sqj3oXTk9158tPQzcmj2Vc9g9/AYSPtvoFz5hSCA+pT0mPk4kKz746yo+H1QcPs74FD7IbRY+N0UUPjOpEj7b3h8+BboqPpLYIT6kHhk+CaYfPlIkEj669w4+En0JPmXFCD4w/yA+8UUnPuyCLT6t/C0+KGwIPos25z0JJNA94ZbKPZJuTD1OWM88oQXKPJ/3tDxFrbI8dXsgPQ+zbj3c9g491z+ZPNWKWzzfOdA8s/XLPYQLMj4mwy8+zghNPqSaRz7MKz8+kcJJPjWOTD6kWlA+l9U0PtynIj4/JSw+Y7A7Pi8vRD7RxCU+EGYePtbwVz7BOHM+aLBXPobnPD7WWiw+igIfPkFbLz4uUUY+oh04PprIOj7vADY+fZc1PhWFUj7mFUU+11grPhCTLD7XqzU+IyQ+PimgOj4vljg+fY0pPkqbJT4xbCg+5r4aPnxLGz41vDI+xB8xPnb3Ij59BCM+hhBCPnnERT7/9Eg+JxxQPlXEMz7sWSM+xc8qPskyRj5xhVo+4nhFPsWuIz5IAT0+HnFAPkV0LD58wDA+KpZHPqaDTj5fOEE+hvNLPonyTD7KElE+Gu9ePtBiWT6kkk8+x8BePuOIlz59D5M+ehNtPj1gUT601kU+bVs3PhocOT5S0yg+gjgpPnmdIz5g2Cw+esIyPlg+Gz4oYhc+AmEqPrr5Kj6GCj0+Ia8vPpaWJz4RYVU+2+ByPtRSMD4YQR0+tRpWPirDRj5zRz8+1DEQPsTnED6V0yE+/rAqPqQFKj75oiU+cGovPvjBJD5dNCw+svE3PjBmSj7l3Uw+tPOGPg0XXT57iDI+Pqs0PkMeRT5EXkQ+7n4cPqCLBT6UBjk+Pvs6Pr3rPj7EkUA+HlA0PsjwLz6Knjc+A5orPhVAID5usjE+mBVHPgF7UD5HG44+rrnAPn/QiD7tUwc+kJIhPpQGPD7ntwo+hS0xPuxtTj6k8TQ+g1Y2Pv+2Qj7FnVo+EpliPvPyLz7zBRQ+JmQoPrdMID7pMAc+q94LPp9tEj5APR0+rGsUPkNIRz4g2jE+hH0gPpJKPD6wQUM+nGc9PjpMQD419Tw+IeojPh/QHj5BrCI+nXApPtm6JT7YEkI+fF0pPsZGED5hohw+kvIuPgZSMD41nCE+nGwmPmnwLz4i7TI+eysfPsgGFj58jjw+EiY2PgIuTD70Yzs+wkM0PughND5LfEY+rrJMPjttRT5aBEg+hh1iPrKDVD5oxFE+BeuPPapekj3ECJI9tcOTPV2QmT3b8o89AQOJPfEDlz3rcJY9MbmSPYfZnD2zjpc9zZKaPTzpnj17K5E9mlyYPV6PqD0OSqE9oB2gPRpNrz2YF7E9EBKmPeelgT3/3YE91hKGPUQefj3xC4c9xrqPPSkyhD2Q6Ic99EWgPRrfmj3hhpA91huEPaETiT3ULY89UhaTPfSYiT0o+ok9khCWPdX2lT3lDps9onmcPcPSmT3J95s9u9iQPYwmhT2GG5E9UfCSPd9Mfz3HjYk91AmLPRh4Zj1Pl1M9XJtbPTf4Uz3txE49c6NVPXSHUz1iOnc9ZIuRPWg1hD039YI9Q9eIPVKBiT3zHX89yH9qPaQZRD0mwEw9fxdZPXDVSj2nxTs9LdROPUmXVD2Qy0Q9yp1IPdUBRD1Z5FE9pHxgPXs9TD286UI9OKU/PUypRj2KhE893/lhPTTpbT2tbGQ9H3lSPcmJYj1btXA9eMVdPYFxbT0reHs9ntBuPfQJXz3WhmQ9st9pPdiidj2q+nM9NQxbPTFxYD3Uwmo9IJFsPQTgcT04j1496XFVPcpTYD3O33c9J0tUPS5Rbj0rYYQ9nouSPXTalT1JK4c97ayAPUWAjT1Bg3g9+vNVPSXiWT2vPlE9QxxZPblqXj0ovVI9IT5bPZN+Wj3gwE49aN5WPXPzcj3mQHk9AKFmPV0pZT0yxFk99utVPZtgYj3cVm09sy9iPYQUYT1NMXI9OFR3PU4DbT2uiWs9sEpePa/naz25LHc9mDxxPXj6YD22gFU9fphbPbFgaj2HBWg9k+ZmPYxQfj33tII9Qu9xPVXbbD2RDFs9e79gPWgFaD14JG09eaddPXlobj1jkXo9/EN3PSHDbT2RhXQ9CSpuPZz9Yj02EHA93G5zPbbjZj1E5G09bAhyPXjQaD3o32w9R95xPW6Ibj2c/3493vGSPSyhmT0fyY09AlmIPY9qlj3oZpk9TlmSPegGlj07xZU9yVKMPY6FiD2rVos9NQOHPdYXiD1o9ok98AeLPXXckz0LN5Q9V7iJPf6oiD1JtIc9kKeLPZOgfj1sPXg9Bu5zPXgJdj3irXg9F/CMPfE1kT3Fdo0962yXPfhfkz0jJYQ9pM+GPZ+HjD0KhI491FqXPaTAoz0wYaM9EheUPRQplT3xU5Q9jeSiPUC+rD3TraA9ixWiPeldoz1q7K091JitPTbnpz17u6Y9nq6kPZ0yqj0FSKo9wdObPYUUmD36jpk9XF6iPYnQrz34Q6k92eaUPT6DmD3mZaE95v6hPUqHkz0cLqU9ZdOmPaqurz2QyKc9qzCxPU4grT1lrKw9+hqwPQtGoz2+U6g96KSoPQFepz1fVrQ91Ea7PV7YuT1DQbM9QtW3Pe8grj1hcac9fJyoPef0pz37Yac9yUepPeLQvj1KSsY9ksS9PeV1tD1aYrc9nDG1Pd1PtT1Vc6Y95wmvPUQBtz3BDLE9mYiiPbHsqz2Jeas9S0SgPfJAnT2jFpk99xSdPWylqT1ZzrE9kIirPWy/qT1SVqw9W1CkPY7nmz1sw6Q93/ufPZxEoT3z2qE9nDaoPT2apT1pfak9J7epPbxopj3Laa09bi6aPZOVmj2FBo89dS2TPcGKkj0t8po9b5eZPZpkoz1SIaU9CZyhPVqmpD1HqKI9n1WsPZakrj3SjLA9K4qqPS7QuD1sOrw9xY6tPakzrT2eZKI9sG6qPcJxqT2Uq6k9nJu3PVyvsj24zr09aZ+sPa/Ssz2D9rg9JwTAPZsKxT2JtLA98OydPY3Bmj0lyZo9X/eePX7glj0eT5g9hq2VPYZaqT1Lt589SI+WPeOvjz09ooc9mWyKPd3njT1clps9XXmZPYThpj3Csq89CW2iPdeMlj1doZ49uWOlPQEwtD0SZro97cupPU9PtT2yV7I9YVCxPUXQrj1XWKk96uGZPR1Ljj0Hv5E9KJeTPbZrjT0JL5g9LHCWPT8mnj3X+6k9Q1yoPRzpmT3Q9Jc990KVPc9ukT2XC4g96HCJPTi0iD0FlYU9FDuCPbsXhz0EZH09SdJ4PcEccT37rmk9N1RuPRynYz3yVVc9+tR7Pb9qiz3uTIg9gSJmPUmUXD1oVUQ9+88+PfuxPz23iUM98ohGPfS4SD3idkE901hAPZGrST2MclQ99NBhPTadXD3VX2w9jeJzPTG1cj3paFY9sGVDPQ/pQz1fzT09JqUxPeKNLj3qfik9mpcxPTnNLj0QQzU9vXwzPZ5CLT2qbDg9tWE5PUB4OT3EZDQ9Z0w3PR1vSD0SF1U9JTpYPW/yRT0bMS09rvoqPfBuPD3kV0I9zbtOPb2zTz0mEj49qic8PYVhVT2P+VQ9cEtGPSq6Tz0jUE49oKiOPRCShT1JPyc9lSAqPXSrOD2UvUo9g79sPfGo6z2BOFw+CHRZPlBWFD6nSP49bLMcPqbXEz4gMRA+x7IOPt7lJD5C+S0++kMrPkDTLD6JACQ+11ASPh/JEz5lARI+ZQgaPoDbGD71oBM+SH0TPnraET4gKRA+mToNPiTCFz5L0CY+CmQgPpNQEz40myM+VnAePsip/j3ZnXg9qWkKPSSl1Dwv6dA8wXz7PIIq/DxdQeo8a9PUPP+dwzx+FIk9fbsiPjbDPT6ycSQ+TWH3Pdhw2D3//+I9t8cHPi8jSj6rm1U+oTNVPhzVRT7UBEQ+sUQ3PgYsXD59Bmo+AH82PlpQMj7/MUc+pDpVPuIfPz72mzc+x8dRPg7VhT403Yg+nfNePn1XYj5JrVM+VPpEPu91Pj7BNkM+OWU+PknxRT6MnDQ+T9M3PrplQT4j7Tk+KsssPpuJKT7g+ic+JaEzPjcxJj7OGyg+FlI8PnN7MD5z3TI+CD0+PkYiKz6rJjs+vlciPgs/JT78DDQ+deQ6Ps/qMD6wKTs+AqJLPsApPj7bRBc+IbQfPuboOT7likM+DKwiPluSKT539Do+0z40PqLWJz7USSw+bMo/PmS+PT6Jmj8+EA1sPjvNgD4p6HI+S0ZJPikdOz6iR0Q+0cxWPg9npj4ONqw+QepsPt8FUj6QGkU+kcQsPmvYLD4izjk+IIU7Piu2Jz6o0Sc+0yotPp4/HD5Qayo+qZg6Pm8AOz7W4S4+ypMlPu2LMz50/hM+82szPhW5TD4o92Y++1ZJPq3GSj4+HTY+6xYTPgoSFz6PCxU+Uu4nPnHfKD5ubSg+abAWPinlDj55okU+UG9YPu9QXj6goU4+DsY7PpZ+Hz5LbDk+BVdSPgMLVj5UFy8+kNcHPkqMPT5HpmM+QJw9Pi91MT4+bCs+J5IsPppKGj4OWSM+CRRFPn+xMj5ZZkA+Qa82PtRFfz6YW8Y+5AJ3Po9ZCj6tkQU+od4tPlSqWT7anzs+tFu7Ph3Rgz6vyiY+WCwxPseHRD4PU08+JR1LPtvnKj4SESI+8psnPpUhFj5oOAA+v2USPqmfIz5a6iw+BaskPjRFUj6ceks+Shw1PgawSD7cXjU+bws6PmfkNj7Dezw+ptskPsvwHD7xoCA+trYrPl8sMD4AvkY+04swPkzKIj6+lCo+r+A8PoOAPj4NKg4+IO0TPrjUNj73Xkc+JX4uPrDFFD5ZDS4+JW1VPoCjQD4oGz0+A58+PnUFST5J2kU+c6NHPn47OT5GPTY+aSFTPiSiTj4jNz8+5qGGPYKuij1wd5E9t7SfPeWdoT2Pvp49zXmdPdtYpz1ZT689pu6oPebYnj3nmZs9i0iMPX2Wnz3KsKU9tEGkPfoyqD0BLqs9aBChPc7Bpj1Md7M9WTKfPcNOoD2gfJ89nXWWPfaNhz3534Y9lKmNPbXLij3BUo09fWaVPbJDjj0aa5E9RU6XPflIlT0kPKQ9jqeiPSJziD1+pYw9lmSWPaZWmD1RMJo9KW6ePZcylT2EjYU9HyaWPaj6oT0b0pI9uTOFPdKLfD3kvHw9YWaBPdsdgT3OW4I9rht7PSGvez12kIQ93uCFPQ7wiD0FAIs9MB+OPSa4kz1W54Q9V+5pPUmhXT38YFo9inpBPcs+Sj0A1ko9/DpEPdK7TT2d/1w9ueFUPVYiRD2re0k994BVPQ+wUD3pcVU9Q7RPPYGJTD0qe1w9bBBtPWo7Xz2ts089AZBnPQxWYT2ld1A9B1xWPXFWez0tD4k9BshxPZ5LWT11H1Y9W5xYPZBmdz3gH4o9NoWTPdtcYz2+t1k95g9VPRSlVj0WL149YuhePTLaVj0qmVU9VA9jPe0QZz2b7Fw9kKhsPepzgj0SdYI9pSh9Pdf6aT1lw1Q9UAhOPa/CPj2BiDQ9yylbPYhLaz1ARFA9I+hvPU80Xz3+1VY9QiJdPbamWD1OOGs9Crp4PWQfdz3VIVQ9nrFoPTJhWj0AYlY9KdFjPaDvaj29W1k9eJNhPYuFYT0LMXc9iiV4Pf69YD2bDWA9oAhhPf7/UT37bEY96HlRPQnVWT3Q5Fw9TUZwPfl8dT1VJW89wl9nPYtreT33voM9TbyBPd3qYD1PVF09bJBlPQ9QYT13nms9cXVyPXCeYj2rrmY9wcZwPdEYfT2v9ns9UFpwPbfqaj3IC2s95FiDPUiBhD0BvIc95yt3PWFOaz3W9Wk9OjN3PZTmfT04j4I9KTGFPcoRhj3eUYE9UP2NPf88hz3jN4Y9//mQPfKPmD0LD4891KyQPf0biz0RM449LbSKPUcUjD3Ycpk96O6hPSW5mT1e5Y09OF+IPad3iD3sV4U99OKAPcFGiz3Qv4s91b2IPRf9jD07uZA9AX+SPfeGiD2dO4w9kNyaPWFyoz1cOpY946ePPceooD1JJ6E9wW+XPebBlT1iAI49XB+LPelIij3e+Z89BnyqPQ3Tnj3RHaA9fo2aPUK+mj2daqA9sXeWPVfokj1ToJU91gSoPaYdqj1wKKE9p5WePa/wmT3QRZs9DbSiPZUlqT0llrA9CDOePf+XpD1Tzp49D76qPY2YtT3PLLY9V1ioPUKKsT0POLk9dV2rPdxTmz10j6Q9Mg2oPcdhsT0Leq49PTKvPf60pz2xybY9D26vPWBHtj0t77o9DY25PVcRuT1RYbo9j8m+PfcFvD1WBb499ZS1PTcNsT3vhrI9HeO9Pevjzz1b+MM9zd21PZM/tT0ezcI9RZbFParCuz17G7w995+0PcNfoz3yXqI9jOmWPVwamD1CgZ89SauhPXbjsT0XA7Q9nEinPd7zpz1rxaU9kXmePcNHoz39JqU9neSbPYWGoz0Ve589VHKJPeN+jD22k449dC+WPe4gmT3Md6A9tnyUPRsejz2dfZw9moyuPaUkmj1IXZ89C9SpPX2frD2Fx6g9ftekPTE+rj1/7LI9jtmlPUaSrz2+cKc9J7ydPVqonz3aHKc9a++iPfFnuT2K2L89BNGuPQlBsj3aUcE971a/PSTKuT2kQ8E9z366PfkEtj1w+LI98IC2PU1toz2nD5I9vp2TPcCCkT244pc9R/ygPfAsmT1Ck5Y92wyaPfxZkz3iDJw9wv2cPcTWlT1P+pI9LSugPU63qT2Qmag9hUClPW1Cmz1LrJQ95A+bPbG5oj1585s9ZC6pPR5HsD1YfaU9avGlPYFssD0fp6M9O+CZPcv4oT0nm5U9OpKSPYcUiz3tH4M94gCJPQQTlT2+jZc9yN6QPUX5hT3KLYU9DkmEPWsfez1+3JQ9lCuUPYCKgT1vgYE9TliKPShOjD3MloE9c6x0PTFTgT23QYo9gO2FPadtgz13XVw9ytBrPQnzeD1Gg249uqJwPUd3cj1YK1E9Y1Y4PZkuNz1rEUA92odAPZPsSj3leFg97R1ZPY+NXT3zQmA9mtlhPTWlVj2A2ko9lnZUPa36bD0OfHA9zTFwPbjJXj3PAUc9ECNCPd9cSD0YWFo9rZJZPS7lOT1FsDM95BszPYCLKj0GlCY9NL4lPXN2KT1NUjk9p+k+PUX1PT0Rvj89R7VEPX4FSD2Egzc9Z8A4PSv6NT2rqjk9bX1XPeAibT07WV09A+hHPTC+SD0uekY9LV5UPcODYj18oVM97CU8PX39Oz14lCc9oUMyPXdOKz20RiY9L00zPQxrMT2wpzs9ZmNVPUMXXz05G609p9O+PdMOoD202ew9d08qPhcqGz6zRRk+ASsePv4LHD4I5xw+N5wlPiEKIj7q8xs+ANggPrZwFz5aECE+TSEnPii8Ij528xI+wcMePl0sID53HxM+WG4UPtsRGj7lfR8+TWMXPpKYGD4x5fs96B2JPeD1+jz1Z6U8qyyjPP0gtDze8rY8+HHJPLqTwTx2i8U8RmXJPJvsWT0YZjU+kJ1IPk8CNj7p4i8+6dAtPqFfED6QhC0+FZYzPn3WED4+xCw+Sw5mPjXJQz4OMDQ+grZaPjRuXz6EaWI+HmNfPgegPT6syWY+gKV0Pq42KT4gaF0+9VyCPh+vXj4D6Fo+gB5WPr4QeD7cuVE+khY5PndjPj5iHTA+Q14mPtdGMT7LrDw+OGc9PoicPD5hoSg+GcwrPsj/Nj4DUCc+nJcvPm5mJD7LPiY+GDclPsSoNj7bQCY+r+Q6PuBkLT7+/g0+vowZPonDKT4D+kM+aBwuPoNXHT52bS8+1chEPgp1HD56NC8+7s0yPrWzOj5MCDU+mpAtPpwfKj7TrjQ+TV00PopVOT5eNDs+qvhPPupRcD5/VFg+0zVRPnbyXj6K1j4+T5MwPoYzPD7ltCo+0dssPslrST76R4Y+gdyMPvq2lz7ZoYc+ic52Po+oTz6Yyz4+/wM1PsxvNj6dxzo+gbQiPoCuKz5+8TA+k8kyPqKWNT5ziDk+GUkcPpYCLT6najI+2AolPmsdRD7IFFo+E4o6PgdsJz6dWRc+J6EwPqy2IT4MsyA+6T8yPrVbMD7mNDY+OPQyPq01IT44Gio+t6dHPoqOQz4uHyo+StkzPqPYOD58G0c+ps89PjA3Kz6cRRk+l4ItPhTySz41BW0+PyYtPr7FKz5rYyc+c/IqPjRdNz4QSTE+rNo4PpMqVD4gFzo+d8ckPlp7jD6eBIU+q/E6PiRFAT6i7Qw+SLkxPvICNj76MVg+ixu8PimxcT6OG1s+8ahOPlx6Lz59Tiw+Y2kpPoRZHT7Feyk+0ZsVPl5zBj4hO989YSUOPrM7JD6jeC0+N6owPpIdRT5b+jE+Ru4+PjzhXD7+ezg+HAIhPpBuMT5MyyI+xAAjPoS6ID4n6TY+/eQtPggRJz4jzSo+e+ImPkqALz6YuSw+NKkrPgXeOT7Cii0+/WMsPoSNMj4w60g+jawqPjtCHT7FLTE+J2lHPsp9VD521kk+Ff0oPu7HKz7FxDU+3vRJPmlhYD6VJEo+6e1YPocPVD4zoEE+JEOYPZ7Pmz0m7JI9kFWPPZycmj2PiLA9OxCzPb5Hsz2lJa094vCoPbcDqD0uuqQ9DeuiPcQ1rD0RLKc9mH+iPdtqnz3mjKs9nPG1Pb3/rD0ReLc9WtPFPdjQzD2p5rA9Q1CWPRqonz1XhZg9cTGLPdm3hT0BWpc95dKVPWTajj0Nn5w9dnCbPUauiz15zoo9XNeRPfmgkT0y05I9/T2HPRw2gj3k5IY9YOCOPZnchT3Pb34991CEPR/tgj0C3YA9hKt1PV0xdz2EMmw9c9F+PRrgjT3TNXU9QlZsPXe/dz0j8IU9Cyt1PU3FaD0e1V09vtZWPUQlVT0rlEo9X5BFPT2pQz07m0U9vspHPQx4VD0WjlE9X9pVPegJVj0sM1Q9XplPPZokRT2wHDs9ZLk+PTT9Uj10XVo9YllhPc1NYT2zS3I9Xrh2PSeGWz0yXlQ99jNpPWsKXT2dRG495fVtPaPAYD2CLFg9MFpKPWtUXj2AGXs9rZeHPbWegj0HhGc9cBlPPUdiWz2imWk92xNfPcPTWj0j/FM9kMZkPcmXYj2J6V09h3Z6PT9ufz1WR3M9iBJ9PUElfj0iK3o9OzNkPRuacD2rvIA9QCBwPQCLYj0v+Fc904xXPb5ZUT3Z8F49wF59PR+ubD3ctmA9yX5bPehMYD3662I90o12PVbWYT2930k9cjlQPSPMRj2HoUk9AulCPXkQRz0PfUY9r4xhPSK/fT2baoA9HmxlPZRZZz1nU1c9TSRPPZWvRz3niFI9YRFjPeU2bz0AL2s9I+hkPbWLcD1S9FU9JF5gPa3ChD2n8Jc9aJx6PSPwYD0ZWHI954FwPYYzZz1fVII9iDWKPchPeD3MAXE90GlvPVX2gz0T6Xk9cHp4PSohez3u4G89KItwPVL4iz03JY89DEiLPSvqej04VnY9fjx2PX+AcD0ySHU9Ho+EPUuZhj2jY4c9RgOHPS+GjT1kZI49AJmOPSeciT1kPI093zWMPYbZjj3EsJY9LziNPbaHhj1ZNIs92XCQPbOhjj0Y8Is9vhGHPVh7lT39zqE9NSaQPTGWjj2pE5M9+A6UPafTij1gyno9uyl5PUJcgT3D04o9kjCWPWD3kz01wJU9/BWVPaMOkz3PvY09GX6IPWODjT3poo49HTuRPczolz2bD5U99MuTPW+1jT1PHpM9FLebPVT/oz06N5Q9Uz2MPV2Fjj3K8JM9f/CfPYEWoz1gx6w9oGmtPf8opj1R3bQ9SnKrPTafqz3RZLQ9ihGlPX7aqT0Y0bI9cHGpPYIXuT1HxLg9oCKvPSESqj2qlqM9bhGnPT9jrT0iCbo960utPfPSsj0vy649iOOtPeXppz2qNqU9QECsPQ1Rrj25T7g9HoC3PeaNtz34e7Y9AXG9PX0Ptz1VasY94Ae+PRSsyj0vC8s9Gv3BPbBWvj0C+7s9of26PZyCwD1jlLs9g+O5Pb3ysz1CL6o9ZZCWPYaamz0376E93pukPVhnpD1In6E9rzGiPaiDtz0yZLo9D+2rPWdYoz27jJE9htKOPcIPlz0iCJ09Qg2nPccPqD1r4KE9IYaYPeUhlj3Z6og9leKTPZkmmT3TMp89+zetPR8RnD3FjpI9KsWcPcuXoj1Pxqk9H8q9PYUUuj1PkKc95tO0PQ0Ovj1cfs49gJ7CPeTtqD1Gh6s9bO6tPRFRrT217LU9gebAPY6luj3J5q89B1eoPc5Hrz0F06s9kEejPSJaqD0Bwak9suaqPZhGqz0UfKU99mClPf+unT0ksYg9iAGKPdLrlj14/5Y9wn2gPcQCoj1Gj5A9IYWSPWJMkj0hhIk9A9+NPeHwkD1yUZU9PTujPSeooz2wlag9eVS0PQ7arD1IALY91TmxPQETtz0N/bU9nKasPe58oT2Dk5s9bW6dPQwAnD16cI09XHOIPX/2hD0ZRXk9cr6APbsnjz0Zx489p3GJPaTyjj3MOYM9COh6PU19bT1wPG09kQWGPe2pjj3o1ZA9Sc6KPVQTiz3YaYw9WeOOPc8piD1GeIQ9bdiDPaN3fj041oM9tPttPT+IWz01gmg9qCh1PSCtfj2w9IU9Q/KFPY6Mez2DDE49TV1KPcz6Rj0Gm0k9bOZIPaLDPD2ax0097nVSPcixYj3zW2I97LhYPRLDWD3uJ2A9DUxcPfl7YD2dTlE9Kh47PQu+ND0Wrj090VBEPcf4TD0f1To97y8gPY+UGT0BzRQ9bwcvPSCZIT0Z4R49lA8vPb4pKz2wFSc99o8yPY7xRz1uMk09iHVEPVFFND1+Wzo9sAA+PTU/Qz18dUo9XTBPPaBJTj20dUg9H7hCPfQhRD1yLUs9nvJbPW40Sz1w9UA9YhU5PfaMKz3Xmiw9+UtIPSXILz2LDB49CnwxPR1PQz2CQl49gZJmPeP5XD0Ef3I92SmvPQlyED467Sw+LEAqPhXRED7yABI+mxwZPi29ID4LsSI+YE8rPpB+Gz6IGR4+DeoiPjE9HT5fGSA+BUYlPo8kIT7jYCA+OnIhPioPHj6j/h8+B4obPgofGT4pSiE+hiobPieryT1oYgQ9A8+FPE8MmzxYiLA8Wn6uPHIrrjwjS648RDmxPAWusTxGKcA8nvkiPfOJ5T165jE+hgMwPvjPNz7kPzk+hlIwPmYaJD5ylic+Zy4aPuK+FD5meEc+nrsrPg+UGj7TRSc+nK89PgkPRj4RC14+Kg1OPlpzOz4PuE0+l7NkPj2iRz5wzI0+h/myPiFznT5WGoE+oe5jPs0wZT5taDY+LfFEPmi1mT6G4I8+nr9yPtv8fT54PDg+46A+Ph/5OD6HgS8+fbonPoj9Mj73QC0+3y0iPhhtGT5y7Bg+n7AxPmE9UD6S7EU+hdk6PoxgFT4gIAs+rLgpPvgFQj5gA0U+h8gnPoJdIj7qDyo+WI8dPur5Dj4Uqi4+gQVFPj/bMD4IoSw+vm0xPtfNMz4WhTQ+L04/PrhtQj7Jg1A+XbJIPt4EUD7TM1g+mKxoPmWFez7/r3Q+EsU9PtbmNT626TM+tgQxPvOkPD52lkk+rp08PvqvUD6kilI+g6tJPsUKNj6ThzY+Pb41Pm6IPz7ZaEM+WeAqPg6YJT4RTyY+Rl8gPv9gIj7t2TE+FesnPtfCIT4VqkI+7AgiPptZIT5baDo+jZpNPiCdQz6ObTQ+bKdJPhzHNj6RXCY+iM81PvT2Nj58NTE+zs4yPjJgKD5RYDA+K0g2Psc8Oj7RiT8+gGw2Pn0OHT4xIh8+s+oYPoS7PT4vHzw+fJ03PvrIbj5zMmA+6KgePiPQHT46HyI+PJMoPho7LD6fyS0+6oNEPu0bTj5YNFU+SOaAPtEWoz5FtiE+8okPPi2WDj4EUSc+3nQoPlPlJj6z4XQ+oxt+PqiqWj7yjE0+NstpPtM3XT75bjI+0yYoPkCQET5ehxE+VYwIPiexAD7u8AM+COEGPgIQJT4oBSw+mNsuPq91Nj7ujyk++hMwPtq0Qj7cOCc+6nIYPmF9HT7eqhs+1N8bPj9LKT4TJzs+scNGPr2VUT6c5Dc+dbwyPjjCUz4v6j0+eqwrPv5YLj4cBj0+z9FCPvkvPT7k9WU+ljIlPvLuKT4rw0g+IjU5PiKOVj5UGUo+NCREPs24Nj6/i0A+j45iPgm8aD6KclQ+t1htPo/OVD6tKmg+WLGdPeefnD3/VJg9f2GqPZgFsD1jkKg9JtCvPeIknD231Ks9+NOsPXfurD1u4KY9auiiPVaTmT2CHqk9/h+tPUHYlD0GM5E9TNifPauUrj0vELw9EkutPYuVqT1Gj5k9dPKfPczJpz0+GYY9KbuBPbeyfz0Uy4c95++SPVjQiz3lk5M9I4+ZPWXnkz18Ook9dB+SPXE3lD1+a2s9sL9oPZ5yhT044oI9aRaCPYrKfj3TSG497HxnPQLhfj3tUIM9wlWPPWn0mD3fuJQ92oOKPfe3fD34HG090rRgPZsrcT36b2M9SmFePTCpTD3UtlI9R9hQPcceRT0hsj49Nd5APQq3Mz0cUUE9nrRfPY6KYT1C/0o9ZzlGPUFVTz0Stzw9r3FKPZNqST3TKlM9qF1EPSIySz24jFQ9ct5CPX8HST0G7kk9lZxePXr2cD1RcH495LF7PSJUXz3EMFI9Yt9WPSkmbT0m+no9KvBuPTlNaT1hCnI97bSDPYU7az2eQF49M61WPW69ZT1C+G89JtdbPe6fXz0nJWc9KuR3Pe5Bbz1nH2M9ReVfPbEraT3l7H49Nk2JPeBFhT09mYY9eZ92Pc/Jgj1rE4I9ERtnPbuVZD3JVGk9ymVlPYsodT3ze4I9twB9Pd+zaz30SFw9UjlaPeT0ZD0C7Fk9baNfPQyOWz3SiEY9D0JdPSXFXD0+1GY9SGhPPZXhTz1aVmY9xZNrPUL7cz1ManI9IlhSPeLnTz2g+Vg9lXJTPXR1Uz2gTmA9zRNpPdklYz33oGA9NYVePQkxbz2iUXo9Aal8PdTpZj3mdnA9Klp3Pe2pbz35SnE9zipsPVTwcT0C9Hw9/CFpPQ4zbT3Fgmk9TDpvPZANjT2mjZE93amEPdypgD1NpYE9LVZ/PQpGej06JXM909pvPSIjfT1JFYM9n7SDPbdogD2ndYM9cpt4PUSYij18qZo9ceagPVuRkz0ro4o9caeJPZjkgT3bRok9o1uKPcJekT36HJw9iR2TPeEuij1uN5E9eauZPVS8mj1rLZg95XiWPWd7lz357Zs9ytiWPZ0akD2lh4E9QQGAPaU4fT2VlIk9rTOEPfRwgD3jA4Y9DUSPPRrEhz064Yc9N1+NPd/nlj3enIw9KuOCPUxDhz3RTIo94JqNPckVlj1F4ZE9griLPcI5nz00yJk9dKuGPYKIkT1vM449AOeKPcxWlT1O9pE9yvCXPcy9pD1nI6o9CtejPV6Snz17nac91M6hPXQFpD1oyLI9bJSnPexTqD1xa6w9q1epPQYDuD0d4r094Lm4PR0Asj3rxb89Uoq5PRd4uj1Gurc9DzarPdc4qD292rE9KXy1PbH9tj2YSMc9CYHNPSBA0T0m2cY97YPAPfNSvT0C9b09ZAbHPTJAvT3cPMI90jyuPd8WrT2Fkaw93jaoPRxepz1a2rk9Gva/Pb6qvT2wvb89tTe4PcGSuz3ROLw9CFGmPdymnj1cX6Q9x9yrPfpypj0Y8p49/IyuPftqwT3tgq89vfmmPYYfoT2guZs9R86bPb4Jmj3r/p49nmSbPXj+oT1y1Ks9gpilPXfqmD12wpw9RDqqPQiKrD1mMJ49zJerPTP+pz30xaI9JpuhPb8srT1koKk9egK4Pf+ltj3S+Ks9xeC0PZiVrT2n/qo92gydPcRznT1JWK090C+/Pb2wxT2/y7E9Nj6wPXyQoT0dnpo9mq6bPUvIpz2yvKk9uR+sPVQSuD2DbKg9IemVPScJlz0vCpE9r1eYPWAQlj0IQ5E9OOmLPdUwij1GXYU9wY+GPZBtgT3MiYg9RvmGPWz8ij3zPpA9aS+WPUInlj3uIJY9gZyjPaixsD3iZag99NihPaSdqz312Kk9ZhelPY0aqD3WP6g9sFOhPa3omj0m6Jo9UNeVPT2Mdj27nm49ViaDPa3skT1n8pI9agSWPbyWlD28aZU9lziIPdQAfT375HM9vpCBPckkez1QaX09YmaDPcFakD14qJU9K7GiPbupnT3LPpk94P+EPb3lgj2tyYs9cNaLPaYRfT0rwn49wol6PXhJYj3dpHw9Cm+LPXDYhj1KDHc97et1PTV/Xz2FElY9OSNSPZKWPD20ETc9oCNNPZxCXj0643M9e2duPX70Zz0Bb209jYxYPXFNSj3Qsz49XjpCPZeFOT35BEc9WHlTPQXzUT1INEo96JBSPUjLMj0KHiw9ZXslPUJ9Mj19dTE9dqMkPZorIz0XPxw9n70oPfNGMT1ULUc9Cw9UPSDhRD2/fjA9q5YzPQ8XLz1EWzc9d005PdX2Nz3dOkQ9ykFRPRsESD2DaU09oWxLPSg9RD0inUc9y85dPZXrZT2UpFE9cJ9BPb4MJj1m3jM9ZbyEPVISQD3xRTU9WBUvPRmPPD0TzHc97GqTPQz8mT3UIfI9yzw0PvWbLT4RriQ+7dUcPvtgJz7N3yE+7sEePqm3Kz42fDE+IaIrPm0FJj68/yM+DMMmPkEHKD7i3io+C78qPrrbHD7j1hk+wAEVPst8Ez68Kxo+N68aPoKXEj65tAM+j9fGPQ5cCD27bGQ8ARWEPMoMjDwOLJ88BEuwPIdirTxfjJ88CwuOPNAMljwCGvk8fKx3PSnK8j2BDzQ+kVIuPo05IT5j7io+VfE3PgviQz4X/io+McUePqbNFj4DFT0+7H4xPmqLKD58Oyw+/0kjPsi7MT7QL0I+PzdOPlFgRT403E4+YTRYPth6UT5lOI8+demrPj7Slj5SRoI+gA5qPoobVT5vPUQ+1/wzPgEPij5STr8+paWlPnEAcz6Xf3U+AnVNPt0DKT6JgCk+MeEtPgghLT46YzE+pcApPkK2Iz7S3Ug+0ZdQPl8NVD5B4GI+fF9HPhB3Jz64oRo+r8w3PhD4XD4OAk0+tsYoPsOgID7Jvww+Z1IXPvQrJz5U4zE+2R42Pu8LMD699Sw+Z28nPjfFMz61ATo+kh5APkDqLD4aHkM+KY82PtNJIT6pnEw+rINPPt+5Yz5faWU+OeYzPk+wJD61Yyg+luYtPsKkRT5iOj0+rgQzPmvRJz4Udkk+M352PktFQz6xt4E+CHVtPjL0fz4t/3w+NFBSPiIcQj7kWSs+7RUxPjhBJT7G3SI+aagbPncsDj6bFDI+xL8oPr/fGD4fsy8+NyQ5PmDpZT6Djlw+d+M4PiIBNj6cjj4+UnIxPkCdSj4POzo+Uws7PkKEOD5Lgz8+HRQuPuVaEj6GyRw+L7Y1PuAnPD7PySI+TIsmPotvNj6qPyw+m+cePhzbLz5syTc+ltwuPkM3Ej6mEyk+RakqPsBiFD6A4xc+e91CPs+jNT4rpQ0+iwNVPo8pej5yOVI+mFMUPtDWEj5eTiU+wB4vPqnsNT6umjg+zlIsPv/EOz6saUQ+zthQPmPROj5hoTc+nR9KPjc6Dj6J7f09bh71PQJrAj7V8SA+WmBBPgkrOj7OuS8+YIQ6PpYZVT5XnE4+16k5PhzgPD4V6zA+sMQ4PiRLOz6GWi8+6x8xPrx1PD57fkE+LAZJPvXgPD7Cdig+hNYlPlfhcD62xHE+APM3PgP7Kj6lijM+EF09Ph+5LT4j8i4+w4g4PjzNbj5cflg+hZgqPsBOKj4uXD0+ISA6PvQ5Oz5AYTg+ZztIPrcnWj68/HY+Sd5fPvMBSj6ERlM+62XYPQF7zz1uIbw9rkyzPbCTrD1Zxqc9QUOyPXt+pz36w5A9WqiTPe+bnT13GJ89DAyVPduBlj30cpY9b0uPPUwIlD0mbZ090kiePV5nuT3r08M9Zx6qPWiZij15BZI98qaVPbTCgj13r2s9pvqFPa20jT11y4091wSTPTTemD1U/Z89oriwPVcqjT0POG49v19bPXX2dz21woY956J9PQoOjT2bk4w9gW2HPQS2gD3SxnA9ekCGPasJiD0Rz4I9OPl/PZRHhz3eVok96PlvPXLFWT3PZF89tlVnPbNTcD1FRHE9cGNXPZlVSD3C9FI94KFNPQBfNT0xnEE97Y4/PQmFRT1apVc9JRBHPTmhQD20Zjw9iytaPe0pbD1gYGc986pePRaOWj2jvlw9RFlXPYNCTD28a0495WxRPV/AVz3uc1k9+7BlPULxdD2fHXE9QSFfPQ7KXz12Z249GZRjPTW1Wj3XJWM9jCVlPbc7cD1BjXw9FPdrPX5mej1mnnY9OMVqPfOhhD07aog95cx8PSPkfz0gSnI9BYRdPeQuWD1wgFk932FrPZ7Uhj3nlIQ9aNNzPZpgYz35NWg94nZlPRK/Yj1Nv2k9SBplPdiNUz3dIlQ9F5dmPUusgz0xT2w9koplPXfcXz3bolY9ZgFaPar3VT1KAUk9uDg/Pf/BRj2Jo189Hb1gPUcJYz3DlWE9EDZQPcfnUz0xsl49akxdPXKgcz05VG89papfPUfxWD1I9Fc9Jf1pPWQ8YD0WOF49Q4NtPWVZbT08foQ9DGp+PbW/aD0dNmg9VINjPbfNdD0zhIA9Nl1tPZdCcD2r7HQ9Eq91PeC4aD0Bom09jy5wPZyufT2aO4A9lq1xPUu2gj39F4Y9jpuAPQbAfz0Ug3M9T2FlPU0Hgj1kHIA9DVCCPQpPcj1dj3Q9gAV0PXr8ez2Pm4M9gkqNPcRgkz0Fx5Q9GDycPV+tjz21bos9z++EPaHSjj23z3s9L899PWcaij0PWpY9muubPaiznT1a1Jc9svGXPU9vlT1nupQ99H+aPfGplj2FlI498DuMPdEYkz3DdI49DEuAPTwKcz1LX4M9vguNPSISlD1akJM9D3qKPeJaij2/5ZI9SVqOPSMrjj31pZA97ASJPWWmjT2POZU93ceVPTR9kT1+q5Q9g0eYPbi7mT1gRJ09+KKdPS2yoj0hM6s94IKmPU30oz3tK5s9TNK2PQiZsz2M2qE9na6fPQZnnD1VKJM9zzegPVY5tD1RjMg9IAa9PZObuD3Kbbc9tQewPU7uwT2AksQ9083NPQ9ByT0rcb49P6q3PQxQtD3NZbs9tHC6PcV6tz35gbM9zM/APf23yD3iI9A9HLu9PZhRtT0Lcag9AXeqPYCcqj18N609OkfBPXPvwz12esQ9xVW5PVWupT13Q6k9MEe6PfxRwj1IzcA9WMLIPZEcxT03+9E9bK7APVG+uD0yrq49J+m6Pam0wz3jJ7Y94fe0PSP9tD1S8rg9PYG/PdQjrD3Z5qI9xkaWPerklj2xlZk9SfSgPZXWpz3ZEq09Ix6nPXgYrz0kVbQ9QTW0PaQ5qz1g/b496ZKvPVVbnz2oFJw9vjOlPTNfqT2diag9MkusPedUtj3niqQ9GMu1PdQasT2MO589og2dPfNqpz0PKKs9C7yoPQRirD2Nrq09TkKmPRyvpT1YHKI9vOShPS1koz0k86U9qA6pPUPypj2TTas91dipPbO9rj2YaaA9FP6ePejLqz0V56M9ZJ+pPakMnz3pXI093F6IPehzjj2114w9VlOIPYb9hj1KGIY9EHWSPd8Bjz1pyYs9GE6bPWq4lz0UqJk9QNioPbkQnz0vaYg9LQGaPU5rnj2fGqE90mmpPebpnD2si5w9lzWqPb34sj1+FKk9ZGCWPVBzkD0W6Jk9X16TPTvvjj2L7ZM9gg6KPQQflD3xnJU9WACXPVwckD2YvoI9Xn96PRc3ez07Nos9F0iMPXihkz0GUJ89GOOcPf4qmT2RIpM92i1xPcsCeD0SzIM9Q7ODPXqOiD2XMoc9CDODPedhhz0q5IA94X+JPYQveT0b7GI9sE1kPUVsZT3U9WA9Qx5OPSRQTT2TM109zYZdPQ5+cj0ktm89u2dfPdF8Tj0rfmA9o15PPTvxPj1cLz49f+JQPclwWj2B5Vg9X39bPTmeRj2HWTg9J61IPaZtQz3doks9LbhAPSiqKj1DKzE9Z9YxPTLGND1/Yjg9MQg8PROkNz2wbzE91bgpPadNIT16iyE9RoItPSeEQD3Yk0Y9TQRPPf3aUD09FFg9QStkPWi7XD3MV1Y9VjxWPfGuTz2alGE9Q19TPSMDOj1iKyo9D78iPXFLHj1htiI9MislPZTYLT31jEE94Rw5PfqhTj2JepY9bqncPZ3V7D1JtRw+QwFAPmcfRz4m4yA+jeMZPi6CKT58uyU+5/AdPqezJT4O/C0+hbwtPjl1LT4sLSk+aF8mPmbYKT6fdik+GZsnPqN9Ij6DbCM+/64kPmlSIj4UrCI+f58iPhcsBj6C/1495dhbPNwNezyCbn48PPiaPA8ZuTz929M8DQ3zPL9eLD1dUow9AdTOPXs++j3WVhc+CJcmPnMAGD68diI+buIlPo3lJj49oCo+rtsrPtEGRz5oETE+vlIYPvGPHD5s+jA+Dl8fPkgGCz5LgjA+i2QxPjbjKj4xHTM+ZilDPuSZNz5NMjU+AwJaPvzMZT7zFEg+/KlAPlm+Rj44Ezo+yhdNPsxFUT5S0lE+DmtSPqCfSD5RZYI+p0KNPmA/jj72pZo+fS1wPjf0PT5LkUQ+iQs+Ppv+Mz7tejw+rp9IPkbJYD7Vx2Q+lOUxPrlAHj4wLjg+sWpNPnHjRz6aIkk+CxNYPsiGez6c+jA+/qYmPkgXMz4oWRo+rH0wPu+6UT6R4zs+ZBs2PlTZNj5TKkQ+FbtFPrGVHD5RHCQ+umI1PleRMT7EkTo+6b8vPnAJKj4bejo+IBwyPuJQTD4jEUs+/oYePjUTKz4uyi8+iXQ6PsT4LT7wJiM+ARkvPkS8KT55GC0+0zNIPrtiSz6moZQ+k29tPmp4ZD5LK2s+jlNuPnEaOz5ATik+xCk6PqT7Jj4+6SE+LqchPkTNET7uR0s+WydLPnFvQD4CLyo+jNhbPv7GWj4L9Ds+M2UsPtvaKT5+iUs+yl9NPl2OST5XiU4+7l9SPg3jMj6gFzM+kGshPsjjMz7MVUE+B5glPoElQD714To+mH49PmiXQD7yaDM+Ex0mPmWPIz4bZhw+IUMoPjsSHj6ovB4+DosZPlnWHT65mEA+3WI9PgPtJD5UqxA+mecnPlgaRT73Aj8+nV5SPpRMRj6pGUY+cfhHPvldHj7suRA+Bh4mPmetLj7FqjM+Gng9Pv7vRT6OxmI+4bhBPpWsMT6w4Bc+A0cTPhyeGj6dvC4+cIg4Pj5bRT5Uajc+mzk5PjspOD6N90w+X3VCPkqlVT5AiU8+vvRLPsdcPj61TT8+GrYhPl5QJD6FXEI+Yp5GPq2LQD7BI0o+51FBPtJvYD61SlA+VbAWPrHbFz6l0yU+1HkgPukIIz5Ujig+8HZCPi/qWj4Zsjs+b9wkPtoAGT48Xzw+tUMxPgqlQD6M5F4+5tZyPsOBPj4f/kQ+xydaPvmWTj6cF1k+EPHUPWbh6D2dKsQ9MhWsPWrapD3UYqE9CrKWPSQhnD05VaE90g+bPYtYoj2FaLE9ESiyPQO+pj2nuK89kImWPcQYlj182589AoGOPfEnnD3gd5s9WN2PPYqvjz2U4os9Te+APfEakD1NEZY99qmIPTHmhD0gqo89N+CePcyJmj1si5Y9KwOIPeIWaj1+BH89yquFPYS/dT1J84E9V4CBPUFVgD181309N5OKPQ0jhz1IHno9/gmAPeVgaj2JLnA9RqNkPazJUj0H3W09iDhvPcb9Xj2lnmA9pTJkPe3nYj13ZWI9VmViPU4AVT1EDUo9wB9hPavnUz1MjEs9JCpNPR7nYz3AGmA90MpOPe4PSj02q2Y90sFmPTROXT0Tqk09VVRTPZA2YD3oVmc9pUmBPU+zhD31v2s9aKRiParCXz0gMV09PZ5kPZpobz30fHM92klzPeHoaj31FW09TbBkPUMTcj1KMXQ9Wt9nPc//fj2M8YE9lXZ7PTFxcT1ki3g9VG2APY1egT0JSm49Pv1fPbxJXz2EmVU9RFBZPUL5Xj1KOGY9DQZyPbLRYj2ce1k94rlYPb+rcj2cM389ufhrPQo3Yz37gVc9x+ZLPTEQSz1/GWo9fVVwPYNAVT17XWc9VRRvPTVOcT3gZ3E9VjFnPYfuWD1sRmQ9ssBkPR5VXD1unF09abpSPaTMRD2/TlU99V5dPbnkWD0rLVw9RBVLPWm1Xj3MAWQ99e9WPSv9aj0CU3A9yYluPaKLej2ORH89ZkOHPTqxcD2QfG89zdxkPQRXaT0Dwm89dh+GPU19fT0P1XA9aQFlPYjtZD3QuXY9o8tzPU/paD3PoXI9tq2BPSCVaz0g33c9Fg6CPWCJhz1wpoI9ilV2PTgHhT3+m4E9muuKPfPmiD2TzXs9czuDPZ+9gj0zNIU9rFCFPSp9hj3AmJM9CO+WPYD9lT2F0pU9WhiQPdKejz1dbJg9a+CKPeI7iT2V3ok9b7yJPYHSjz2uS4c9qTKOPW0Aoj0VM6k9YQ6gPY5Ipj0tgqE99hCaPQjTlz3144k9vjOUPWEunT3n65Y9ds2SPfkAmT0F/549q66jPRluoT1X8pU9okOPPWnUiz3wyZY9osSOPXcrjj0QBY09lmuTPYC/lz05zZs9wXiWPW1omT1zaqM9BvCZPShcmj1JIqk9TD6qPRQ0qj0URKQ9XoGgPYh8oj30pq094vXGPXR9tz1d4KU9B4GhPS3ipj3hpqc9QDOzPfrBuj36Srk92dK7PY8StT2pd609pfS3PSk/sj3TJLc9bA+1PaM1uz07Y7Q9h6a2PepRwD3zU8E9n/KxPQTcrD34CqU9aQGvPdi4sT3hhLM9mZ+jPaUqoj01caM9RfeoPTJusj3dQ6g9sFiqPfXxwT0qhMQ9a2vSPf/Q4D2R/uU9AOfFPc3yvD1ZkcA9OauyPTQpsj1d3Lg9iaXFPSSuuz2dqbY9//3MPU320T1HX7M9YBymPT+vpz16V7c9l3i+PWCYuT29pa09F0iTPUDfkD3R3aQ9uIOqPUZHoj1DwqM9pfOfPTM9qD103KE9yBCvPYzHvT3lGbY9VpmgPZmRnz33zak9/zCpPYaDtj2NFbI9CsWnPajzmD35IKQ9LnKoPY01oT3x4589eJ6hPRTAsj1re7Q9S5SpPTvQpT3/wJY9AwKWPcRgpD12tLA9Oc6zPWLvuD2+zLM9F7KwPSjTwD0v3LY9yK60PV5prT0nP6I9ggKWPU+Ykz2Ic5U9TZiWPSHbjD2R7Y09pWeAPVFmgj0MDIs9Pa+ZPXJLmz35i4s94iSJPeXTiT2Ptoo9hfGcPd6SoD1SoY89gy2BPWCJhD3hVog90hCaPcdMlD0HDJc9BWynPXDyqz091ag9cFKzPTVjsz1bo5095EeRPW4wlD0VTYk9FxiEPVeqhj1aWY89bjeJPU4rkD1xn5Q9bDWjPUzLlz39Lok95lmePeQ5lD3piIw9IhKJPZnohT3Zyoc9Cr6FPcC8hD39J4g9vP6BPWiqhD0cVYA9McqCPS7QhD3d0Is97cmOPW3gaj2tRWY96lFnPeXSXT0LFFE9dH9cPefCaj1Dgn49e7RoPdAIUT37+1Y9weNTPct9Qj0WfT09mOlDPaxMSj3bxlY9ueBMPdclRD2/i0498pVOPYgfTT1bJT49TyQ2PWxrIj2N9yI9yRVRPV+saD1j81Q9nYA7PQ+3Mz2DLD09YT9WPVeGPz3v3Bk9kdYaPbOXJz36UCw9bPswPYBnKz2OFDM9LOFPPRoZRj3aO0Q9kLJWPf2ZTj2V2U493sNAPa5mQj19HkE9IbgrPbqDNj2QnTs9Rp0uPbcBLj3CdDA9IIgnPdsAKD1mgyI91A4ZPTgtID0HeSE9N/ERPY0rOT2pDds9j8wePl0CHT4U2TE+mrUhPrbOFz4szBU+fawjPs2RHD7Uex4+RtAdPsS0Jj4OKik+o7AdPqwbHj407h8+SgQmPufxID7dOSE+83IQPtR6Dj5U6Bc+6YEZPrYhGj7TSxI+/u8TPrtSrz2bRI48v15YPLkYiTzH3Y48tUEAPVA+lT0k6rs9+dntPejpHT4/DyA+tVEYPq47GT4Hdhs+nxYlPhr7FD6aZSc+GMEdPvl7LD5vZDM+8Kw3PtStKj43CRg+6EIYPmKoJT6+RTA+2b0yPmQOLT6nRzM+8LAsPufdNT5W8yw+VJ42PrEZQz6ciEE+WD1LPjwOVz7yskE+CdwvPvz0Nz58S2c+qV9aPgykWz6J6Uo+dj5WPlT1XD4XZUM+IyBXPvQDaT5qqnM+Tr9KPlg4TT4ZZU0+M7BCPj/gRD6Kb1A+iftaPkNOiz6SWo8+YJNkPrN9WD6M6zU+S84fPmsoVD5v0jE+a6FAPvcHTj4C1yU+5TkSPqe5Lj5KeDQ+ehJDPg94QT750zs+ad6BPiYOfz5t0VI+mEtjPqofQz4aByI+9IUzPjzlLD6bVUY+eiZPPrWSNj7lCSQ+v48vPunjRT6pPkU+7TQ6PnRhTT71jy4+dbcyPljXRj4ijTc+BNFGPpFbQj5Qyiw+v1UuPhLgMz52dUI+VoVTPuPTVj4QSHY+AthfPm2bLj7DtjA+sG0qPoOcIz6jty4+s5AuPhO7HD6FSjA+IkZCPs/wNz5LGx4+ZIBXPqQXXT76vDI+F3I+PhbbHz5Bv0o++DphPnLJUT4ZPTw+gxUpPs+OMD7nKWA+IqdFPoFxJD7W2Eg+uMs2Pof1Jz6fFzM+w85FPuhbUD4yNyU+BXYlPqWWMD60Lhk+9AsPPvhMID4pDxw+IwEWPk+qGT5IRUQ+qrs7Piu1MD5wuRo+IYUxPqYnFj4uHkE+LU9tPhdRSz7V0DU+JLA4PqhIPT57nSk+ROo3PiXxPz7mlik+rLYdPt6MFz68wig+YAsvPr4UID4SIx8+2qEUPtJIJz76Y0A+vCw5PrxiRj6rHDE+AI0wPqyDKz6s40U+NhRPPkdETz4x+C0+5ds7PvLdNT4vyCc+qfUiPr4TLj4Mz2M+1plNPgGaaj7qTWg+/zgqPgF5Kj4HqUg+WBAoPqEzHT7TPB4+7WcaPsptET6rDy0+Tww4PkoSLz41zDs+y01BPhr2Nj4XFE0+0V9cPp3xez5c/YA+jJpcPj20Uz4NMFs+4k5OPlNIQT6OyV4+HIvpPVT18T3LZ8A9USyZPWeknz194qo9OLKWPdZqiD2135w934agPf52mD0NMKI9xmmpPWaInT1ynaU9eNy/PYFRpz2TKpM9ESWgPTiGvj1LNrE9O46RPY6Rgz35joA9EqmLPWo7kD3DnYk9EGaFPRZHij2LXIo9p1+LPWI9hD0ufYA9/YBzPTz7fz0JTII9LTGKPe20jj28xIc9iyZ2PXoucD1BKHI9N4Z7PWVxeT08bnc9x5BzPSbaYD0B1Hc9zihNPYi3VD2YtWs9SEOKPROuhj2+F4A9b3toPTsaaD0U7lE9vfFGPcSaTT1/MVM9qeBMPRqeTT196VM9ObxjPd9ghT0/J5A9ngxjPTiBTD0/VVU9ST9cPeUJZj1P/GE9o8JfPfNnZz1KCV492QZnPWa4dj0K1m89izxaPW+1ZD3bBGI96ThoPdNbaz1jK249XxaBPd2+Yz3E2Wg9Jd58Pf5fdT1/oWI9DChdPY5FaT3vcXs9NpaNPRSqgj1hoX09ITOAPQgBgj3j31k9vC5CPekCVz1Qp2E92A14PYS0fT0oTXA9LVJyPZYHdT30E2I9vyhyPeHUdD1snWM9OZ1nPddCjD29N4A9gnxjPZSzSD2kcVU9rfBoPY3BeT37Ono97MCEPTUOhD2e43s9aORuPTsFYD2mF1c9OkBQPfYiRz0TG1c96XpXPSqtSD1TOE4933BLPblZST0rSFI9+j5YPVOxZT0DR149DoJYPRAiXj36CW09y5R5PW+jhT10k4E91EGAPQKLfj0VR4M9nZN6Pblraz3zKnA9lDZ9PddoeT2FvHA9dKJ9PRNMfj1MpoI9kXCGPTCUgj3lE3Y9Fm9zPSLodT0FsGs9M9OBPQ74jD20CoI9cUyBPWhFkj22u4c9FMZ/PQW3dT1+M4U9xZqBPbQFbz2Q3YA9SRqEPXO9jj0RY4c9TG+GPdpEhz1NRY89m3KVPVcKmT3NiKA93WKZPa/Njj1BlJI9M9mkPUyfnz1YgZI92laaPWBnoD270ZU95wWTPVXNmj29cpI91fqSPbwRkD0lCYs9DuqPPbOymz3QkpA9at+dPV5dpj3a1589znSVPVVflD2Wb5I9pueLPRy3kj1dDpg9SkuWPWFnjT35N409gUKWPcVXkz15YJU9bmGZPUAioz22HaM9rFiiPUaGoT3M6ag9t7avPfZqtD2RHLw9dW+yPbkorT05ybU9Chu5PSa2rj3lw6s9jNWiPY/RrD3897E9fmayPUi7tz2miLU985q0PbECuD3gLsI9sWu/PYTXzj1qEtE9G6zEPf88zj1oN8g9lAXHPZaNyz1VKbc9kVasPY5brD2yKKo9TdCsPfsqtT0T6bw9OeS8PaQVtz3OVrI9sne5PaIUwz064MY9tLO8PWMJxz1sBNE9h6rZPbtryj1AEc095NHLPfdzxD0nfbM9efuoPfxotT28UMM9BjC4PVT3sz35XrE9PneyPQ4wvT3vGMA9j0G7Pb9Qxj0S28M9gRawPW7jnT3TpZ89r76cPQximj3oSKc9CfmlPY9YmD1P+5s9l7OiPRD3sD3tx609laa2PUBbuz0UbsU9snm2PUJptT3jdLU9i1CwPUr4sj1CUqs9vd6pPYyyqz3jxLQ9DxamPSBcpz1aP6U9EgufPdF0oD0AIKQ9rYeaPayboj3dP6I9PW+sPbrQwj0xDcA9gBStPdPDtz2PgcI92lm+PTXtvT21xrA9w1CzPdc/tT0HQaY9kVWLPV2Vhj06FoA9HmODPaiChz3mUoQ9AyaFPfcHiD3O5oc9SmaGPeJMiD0XT4s9dZuPPSYLjz1XBpM9El+QPcKuhD0wHoU9t5ODPY9fiz3GBJQ9JFiZPctfnz1RVaA9OuSnPXB2pD0NWK49hUquPTVKoD2d44Y9qoeCPcR5iD3geoo9ADuUPa3Kjj3/Fo89FuOJPYhsjj2kaY09l12QPZGiij2+nYY9VoWJPTGNgT3x8YA9R9SDPUE+ij25z489OMOTPeVImz2Ah5c9TZKVPforjz2JwYk9asGGPbewfz0CGno9rOlvPfTFXz3YqFc99iRdPRQXcT2rlXI9N8N/Papfaj3DUmU9iFFLPdttSj1LSUA9B6w9Pa3YRj3hCk891TtGPVxcRD3nCEI9Wf0+PbtYQz2EsUI9bHA9PSGcND0zcjQ98a8wPZjNOT1LjDs9KmxFPdU5Pz3NTjc9+n88PRvKSj2dtmE9pCFPPbfWLT2Wxy89EHgwPcxDLD1fNic9tVMsPYRRMj0PnCI93YYjPZFwMD0IfDM9FkU5PQs3OT02ckc9+Zw/PWPOOD0qHT49gVczPeX9PT3zyz894fFBPSJjSz0OZTc9+aIqParOLj3YbSs9ygIVPf3CDj0ixwA9kGQJPdJvGD1nOqU9I6wjPvicPD4zXzg++C4IPhmCDz54MRw+jX4aPiZMGz73pyg+ehYiPkafHT6MwiI+TgQfPpOHGD585Bo+frckPloSID5zNB4+4cocPmlBDT6IIhc+iZgjPgCiGz4gQRI+uHUIPt1Cdz1Z1lM8czZ/PK+ukjxsLx49drvvPbKlID6AOCs+2+IlPm9nGz5/Xyk+TrIbPoJNFT68jhU+QJszPpMPMD7LPAw+5YYfPiv7Mz4qWlE+LVtLPtJNLj45MR4+U5YjPhREOj7uBDs+wic1PvA4Qj712lU+hPMxPr+xJD73SRc+k7cvPsUUQz4hZUw+38U5PjxwLz7/K0I+pU0nPguMMD5g3VQ+T4dQPk0oTj4z+lc+6slvPuhLTT7bSkY+Mrg7Pq/GLD7oXkI+XmVYPuBWNz4AvDQ+EUo5PuaYRj6s6lk+X4tKPhaTRT7KR20+mzhcPjPLMT5/ny0+h6cwPrYuJD5qzyA+LO8+Ph6OQT50IxU+A1sMPnPiIj57hiw+MYQyPrEhLj7fbz8+ER+APkxzlz6Fnm0+I6hRPr+xVD76HiA+70shPjuhLT6XfzU+QB5PPt7uLj5URB0+pk4mPqy7LD4t5jQ+UNpGPuewVj60ki0+TkIwPlq3KT6+eCQ+y6AzPqNwPz4dgjw+CQQ9PryzWD45aUE+wiouPh7NPD6DYEU+l4R8Pln9Tj4xcjI+R7ExPv2fPj7CpTA+6DAfPsYLLj6Eek0+YYE8PnZyPT4CzFk+iJpfPozfRD4yrzc+Z69JPqe2PT6Hbxk+PZ4dPoTYLj6aSUw+6R9HPvVeVD63BFI+c4Q1Pha2LT4GoyY+AX1MPkpEHz7HiCA+sKcvPm4ANz5TQSI+NYIsPta4LT7y5CY+VnYXPqYqID4f1SA+0bogPhysGj4+qCU+lqUyPmUvLz67rjw+v2lBPkvSID4IAi0+9Y5mPjU0ST6FUzo+Q1xJPtZaQz4a+B0+5R4uPlIuID7ofiE+n18qPtK/CT6fcwU+m7MKPob6HT5TBB0+hPcXPmn8Jz4Ei0A+ukcuPvzBIT4Rhys+oR07PhsAOD6o0is+a7hKPuKHSz6h+Bs+YwxJPuJuTj7/7GQ+vGA+Pk/HLj6OVz0+vB48PvzhVz5A1FY+OK85PutVJD5Ohis+dVkcPhOyIz4VWSU+0YooPuG0Kj6ltTA+PdMsPgeXHT4NViQ+G+Q0Pjg6Qz5H804+CPJTPt5cWz4MqHU+wiNwPtjBST7Dt08+pBVVPgMPST7rmjY+7370PaVa1z0M9bw9jFe0PWdArj0qR5Y9hoiRPdALlD25IZM9KdyhPVR4qz1cL6k9UJCyPa8bsD3dn649gtW4PTbquj0+raY98tqpPdQEpz2YDJM9ryWZPW+cnz09+Jw9xS+VPZpsgD3oeIU9CCqQPRWqjj2ueYk9qaN+Pbgubj2A9Ic9oXuJPc8Rjz0zlok9KRKNPVspiT3w3oc9jC2JPfDPfj0j6Wc96ldzPefMfT2VOno95zlYPU4uTj1gQG49pbJwPWyDWz3683s9GvB6PWRfcD0rimE9HwdaPf6fMz2psio9KF83PQZsRz32vEw97ZFfPW2Ndz3TLHQ9ShdmPVE8XD1cIVU9YR5MPZCeRz1yX1Q9giVVPcJZXz0PQGI92pF0PfdHcj3puGk9imhlPcxnYD3vJ1o9fFFwPYppaD2lz209qKqBPdB7cj3zgGY9giRZPV4RXz3lUWo9GG52PedBdz1Y0IE9nHF0PRbjaT0VGHg9rfiIPeP3fT2jyWs9Q1VdPXB/ZT1JGnQ9d+V2PeukXD1ydV09vHGCPTqCdD0ZuHY96J15PePAhz3cSW49TutQPQhsVT30T2M9qqdvPfLXgj2L3Wk9zAlNPdPeTz0nrmQ9dAGBPe+Uej3IxWo9++17PdCCfT1idFU9fQ1aPdGlbz1tLXY9RDBrPXvPdj1HLF89i7BdPSqTYD1qpk49tCxRPTDwZz2w2Fw9DFdmPfQrWj3/7E09enVQPWRPaj0P7ng9euOEPXwcfj3O/II9vLiAPXS0gD3IFHU97HBgPXrDWz3RKmg9n86CPdf8gT18i4M9noR2PRYlcD2XbYA9MPiAPew1gD3FhmQ9yEpxPd7rZD3kS2k9YBltPXIWbz0MVYE9cTSEPYGDhj0LU3o9Wx6HPanRgz0FV389x7twPVFMbj18uXA9kimKPULliz1rR4o9F02LPeuxdj0rXX49vPGIPYAalD3EOpk9j6eUPakNnD1Ehpg9KhyYPcsskD194oM9Ic2JPRw+iz0elo89EzOOPUg5iD1uRYQ9ekqJPZFEiz1Vwo49M26HPYb8kT1C4pY9CT+UPbIqlj2Gf4896HiJPW+CiT2gYIg9rVWMPbyTlD1HkpM9oaiKPc6OjT2/6o896zmPPYDnkD2h3Z09LyypPdcfqz0oKqY9/jipPa9JpT0dBKo9ewmZPc3Ikz3rFqM9i4qmPbJqqj29iqg9lSSePaaroz3DDLY9n0qqPa6dtD3kna49+uyuPQ/fqD1BrqA9BeWnPYQcpz21Jas9VmmuPd6ytj3c0rM9Q6S9PYYHvz01Nro9v0WyPVBPqj2Vp6U9OfukPYhMrD13xqc9hdyyPWMXwT2PHr49DknGPYF30D0DW8U9BsvGPTVVyz2hqLs9Wne/Pd2SwT2O0sY952XOPTJZwz36I7o9PiXIPV/PvT3t7rA9PNCqPQ92sD1oU7k9hNzNPev3xD1IZbk9a329PXg2wT3F3cY99zjIPfvGvj02a6A941aWPYlrmD0mop09c66aPVVdnj1shZ89eFylPX+IrD2vqqo9BBmrPS/ytD0urLQ9bEK7PeWzuT0ClsA9Uhq1PTEusT2sQrU9/Qy2PZBivz3+3789WQu7PfLEqD0c0609rciiPQ2pnD1WeJ49vj+iPf1Mqz2u47U9mO2uPQzDsj0Qm7c9m4PCPdWexT2+Kcc9C+m2PcsSrz1Lx7g9Cye/PRr2uT3XmK09SPOaPfzRnz1d2pg9U0OQPRfcfj0XBH89TeWGPdqCiz0mE4Y9t1CJPUPfiD3GXY49hnCZPcbInD3GQJc9EsqVPd8yjD1W94M9GIuAPeACiD0g4Yc9baaOPQUClT3+kpw9M6ucPQYxnz0vQqE9cPydPWpYsz0NMrk9mG2yPYbmoj3LKJA965OGPWMukT1A3Zw9H5mYPW6emT36GZk9pvKIPfkchj2bMo49p9GQPSGWgD1yXH09gS91Pa8YdT39lYA9QYmEPWaQiz0RdpU9VSiaPdN1nj1bF4k9KI54PVL9cj1pg2o9dwJ5PQVegT2ThII9KjB+PR/7dj2d2YM9qQmHPXkugD3qcXo90VR6PfyYXz0EmkM9R0lIPQYoVz2oYUg9MkM8PT4kPj1AaDs9dEQtPaQ2Nj07hzE9OAk2Pe2sOT0TTkQ9Sx1RPZxbRj1Inz49STJLPZ5kST3S7Uo9SHdLPYKDXT2bCFg9yCpRPcn1Rj3MF0Q9LrE4PVSLLz1WXDU9lIpCPfN/Mj0cty49KyYxPUJgKj3x1ys9cJsmPbupIj1wLCk9Igg0PV3BST1Q9Uk9gs01PTmLRT1hi0c9q+BJPaOBRD1Z00Q9ZClPPd2eUD2Iqzo96F0oPTVvFj1dVvs8b6cFPQM+Gj1Pgzg9HxY7PTNuTD24Tx4+8e9pPmWlNj7KiRw+NIQQPtYHGz5/qyQ+9JgnPrFzJD5wHyg+F68iPryRJD4YiiQ+ceMkPi0YEz58LQw+mP0aPoQPJT4Gbig+RJMnPuvLHz7eTRk+9PsgPprfGz4nghE+d/WdPUphmTxBN488KXgNPTDjGz09VPA9NdYwPhz3Ej5Pmg8+90YSPhRTEj7Jch0+5UMYPjAYHD5qyRM+Ho4QPucNED6xix8+Dy4zPnyxPT5gtVk+/qomPj3eKz6a30Q+Z09HPoabMj7+sys+N1czPiGcJz7MITc+bahIPi98OD6wDSk+2ecbPjBkNT7Vf0E+er9HPiIySj7JzUo+ZtErPgDYIz5XKT8+BW1UPt3IGz6PQik+22Q8PuGJLD40/ig+PpNHPhLuND7yZEs+n5xcPqprRT6NMjI+yEE1PjlFPD7/vDk+E8Y3PuETND5knzo+ezg+Pk/CLT55dEM++ZxAPs18JT64Gik+7xcvPlNVHD7N7hE+4nEwPs/cLz7OsD4+cLU4PmFcQj7q+kg+YGpePngtUT4y0T4+0lwsPjp+ND4JWSM+/OsfPsQxKT5rJjE+XhNFPqJqTz7XbGE+b+87PiXcKD6BBh8+4VJDPnXLTD5wyiw+USomPlrwKT7SJys+zBsvPrqcJj6NxTA+ALw3PnQfKD6DWDU+3jVhPrM3Zj4ctDU+eYNqPltqZT50MyY+8Y4zPuFzTz5UsDY+ZZgvPieGLT4iDDM+4y83PiPiOT4hrjg+fod4PsecZj78B0E+wDkvPh/2OD6CDCQ+jrkHPrIUJT5ryHI+A6dCPr7oMD5PQ1A+jl1ePh6XNz7dWhA+2xUyPi2ELz52DyQ+Y58jPtZbMD60Ois+7ZQ7PphfFD5ZjRw+Z2k3PpxCMj4I/zM+ZvFDPhRZRz5EST8+onw4Pu8pRD6nbEI+mxg8PnuwNT7zQjg+EiZPPk2vQD56UTc+vpszPvyFOz5qAzE+O95iPqfLXD6WEUQ+RSM0Pjf5Cj48neU9A0TgPWKQAT7LpwA+njH9PYACFT4gnDA+EW48PgPePD7amjk+vAQvPtplNT4PWiw+jlErPo3MSz5uVkE+xEI6PkivTD5idD8+eGVBPne+PT4vsyU+2MgvPirbLj4hQUU+tZE6Po9FNT4Ogyg+G5whPmByIz6ljSY+ft8jPoE3ID4Z+iU++cNIPgqfPD7ESh8+eXQzPhiYOz6kzDE+qiMyPogLOz4VzHk+//t4PrwCRz7UD1A++Gg+PuGvOz6mWzQ+jI7PPXJzwT2mwrg9s7q9Pdu0qD0khaE92F2bPWfxlz2OXJw9i26mPdUMrD1OZK09rpO1PfeNrT0hOKw919euPVbfoz3EPJk9ju6KPbBDgj1NbYE9ENp6PQwQfz1n/XY96CR3PUBwZT2xum89E5B8PadOgD31qHQ9lgxwPXTnfD3BL4g9rIyOPQQsij2GBZM9SeCWPdd2jT2ovH49PCWNPZvCgz0cE2c9hINdPUseeD3mlmU9n49ePd+Tdz0V04Y9nK+KPZxkeT1XiF09XId0PTVKbD2MmV898YJLPTNGSD35Tjo9mnpfPRC7Vz2Emj09u9tWPQUvYD3ZjE49Z/ZePeIeZD3FYFs9WsJYPZ/qbD251Wk9NHJYPcEJTj0/4FI9Xxt2PfJ7eD3mdX09DgdzPRc+aj2iA109MVd+PabLgT3urWs9OM1dPdG9Yz1qsW49ARdvPcyIgj30GoM9WiWDPeR/eD1NMW89Vot0PR6Kgj0zFoU9VqGHPS9wdT3pnWI9xoxoPbAXeT1ZbH89Pep3PaGWdT13anY93YZtPYl5ez1+fo49k/SLPWXYgT3A4Xw9jo9tPWBudT2M4YE9e5OCPa7cdD0CNXU9pQZlPRMYVz0UV1Y9tIhvPYBZej2MVIY9Of17PYxIfj2aEn49VMuCPYN0hj2pIG89kDtwPab5fj04pGc9tqRLPScLbz0mVGI9GQZTPcuzUD3sVU8931RfPTL+Zj0g42E9HIpePV9jaz2gX4U9znZ8PT/1dT04zXs9XVuAPW4jeD3rlWo9kjppPRSXbT1Xymo9Ie5xPSG9eD3T0nU9Sj1wPRrvfT156Xo9EJJ3PSR/cD02mHM91xR/PS0daT2fSGU9gvRlPQzafj2Wo449o0CQPRzwhD2MP4Q9mReFPetzhD3x73c9Hi15PdoTgz20p5E9aeOMPSDThT2t6oU9cY6CPRXcgT0hu4Q9YmGMPUV4jz3aGpY9D8GOPWTqiD2E8oY9BLKFPQiohj1XSJY9STaUPV41nD2e5ZI9kTyOPWKRkD1wEJM9YFCXPRbulj1VzZM9bV6IPTz7lj3s3489tVSLPSr5lj262pw9DKqQPYTOlD0a9Jc9It6NPaYwjD3Oq4Y9VpSGPYiEkz3j4Zc9o+eJPVCYmT3u06E9QAGjPSNmqD0ChqI9KzCiPXA9nD2d1aA9siuhPYTtrD1WCLE9sfSePSCEoT3btKY9bsKdPRQzmT11zqA9SQWgPWslqT2NoLE9+3eoPaxNqj3EUqc9FlOwPUfXrT3RQq49l+SyPZXTsj1vDLE9KH6+PZl+vj3r/rA94W+1PZLJuD0uLr09qu/MPYTNwj1CWcY9jC26PWXwtj2N6rk98C/APU1Hvz2h08U9ggnLPR0twT3RNs49mgXFPXWiuD3LP7s9anG1PROHrD25pa89R+SxPY2lsD0oZbs9TJ6/PdNDvD01VcM9133KPRwgwD0Qqsg9HCK8PRFwzD1E9749TJa+PSkYsD20pJM96tyZPQGMoz2/PqU9EHyZPcAdnj3/D6U9SduzPZEStz1oB6g9WyuyPQwKvz18C8U9eNDGPWLayz2VF7E96+ihPblppj3o6qQ9K36rPZU7pD0RIq09APqnPSQ/oT2OEaA9nhanPaLjrD2mLbc9/WS/PapxwT0qKss9ws3APWEUsT00saU9oaCcPXrbnj1GJ5w93v6uPZObuD2FP7o9mByyPTFBrz1tYZc9pvKNPTwUhD23eYQ9OWGLPRXcgz0KVn89UU6CPYPlaz0/gWY9IKuLPVO/kT2Mlpk9PtyYPXf3mT2wzoo9QBmFPSTZgj1DLoA9WomDPRwkoD1c6a09nwajPc5vnz2Lo5U97fWWPVWCnT0fB6Q9WLGdPQoMtT2SmrQ9kSGrPdeDmD114o49V6KIPSKQhT1Pk4g91eCKPYGbjz1Jj4s9DQehPYGemz0rm4w9DuaMPdNzfj3sMWQ95rl2PbNZhj1lK4U9wUCEPevUkD3HGoU9tsaAPS6dcD3u20w9Uk1IPdTxdD2yo4A9heN3PdUMgD2sj4I94DqBPfeNiD0Kq4Y9zIWDPVlpZj2Lo2w9NehePbSORz1/6UA9aCVOPS+0TT3s1ks9zlc9PSUmOj1XTi09/Pg0PW56Rj1lC1A9zk9YPRNXVT0tIU49RJZMPaXLQj1hOUg94PRGPckhPz0+gzg91yZEPQf7Pj0f3EA9n7g5PcBaOD3IkzM9VpMuPR6GLT1obyw9vqczPcxmKD0iKiM9BesfPT/KLD2RRDE9jCQ6Pa5ARj3M8T49nNZAPXUvST2+YE89ig92PWmkkz0/4ms9OVVXPTTJVj1HrW89vF2EPVdBST0rAg09/BIKPcFQJj0s3DU9XoJMPQZTUj21mVA9U46YPe9U/j3AkEk+uhlJPkU6Kz7OPhw+0pQfPrWWGD5wsRk+Q/8dPioPGz4kHCE+nnwoPlXvHD4u+R0+vJMhPqkvGD6NnBE+l2sOPvs/Fz7kbxs+M3AbPonvGD48YxE+CsEfPoAaID5sjhU+4FMTPtZNAz7gv/g9wj0tPriOFz43Dh8+W0YXPvKBDT5ofxg+1AQPPmHLED4PWiw+sM0rPmBUNj6lKy4+lOUiPo1IJj43zSg+opgtPmOBLT4p9yc+ncw4PgY6Pj4ZOjM+uvY5PtFRQT6k2jQ+PcUuPpkZJT5c0Sw+d9FBPlQSQz6Mxj0+bnQwPplhSD4+10s+6cI9Pns3RT7GlT0+y6s8PnddKj4Fqy4+Gs1DPiN2MD67eSw+uYAqPl1jJj51hjw+UA9JPpErTD4T0zo+IlVBPuFcIT7F1h0+HmcwPplLTT7bhkc+s7E7PqDnFT6xxic+NjlQPqrgPT4royY+lmA8PnEPTT4q4nk+JdlCPkVvID7W4Cc+KjdiPgxWPD5a5jc+hPFFPm0mRD5w0CA+3TdHPhZxSD4Nbz4++JEyPmhINT7B0zQ+4RkuPrpaNz51gSM+tmZDPtCVaz5VaW8+xNhJPlDfLz4Hkxg+7Q9OPrGHVz5cJTI+DfEkPk+OPD53EzY+Zro1PqkaMz47Kyk+asIePoXqHD7kgCU+pkUoPufBPD6XwTY+As42PiaTYT52bDQ+mLwdPmWfLT5bWiY+uyslPnOGKz5CYTc+niRJPqHWOD5VSTQ+cK5EPi+gNT7GdDw+bmpIPrqFUT50CUM+vlEpPhfkPj7khVk+TYxWPlWWOz4rPjE+YRFGPpEmOj6NzBA+CFYePvt/RD5+MkA+4EAnPvk0RD4EfE0+58dEPldmEz7DqTA+xWE3Psw1RT5htUM+NYY3PkFUPT6poEg+3KFEPu//Xj7QZEY+h7E8Ppu/OD7Bbjo+6O89PkRzPj6AS0M+3TlCPk8fSz5CJEQ+Ml5HPjoePD6jBBU+RDEoPsuaLz5okh8+o3APPvrqDT4P1gs+NT4SPvgcMz6HQU0+YoEqPjcZKT7eOzo+fnQaPkrGGz46bRc+deQmPmsgLz7GXzY+hCoyPlG1Tz4PJDQ++XM0PvwSTz7ReTM+5lkoPtluSj42fUk+B44lPkGDLD7CFC0+qnE0Ps19ND7VOSI+8aApPvIzLD7rYyM+bhglPgPBMj5gVTM+NZs3PtwRKz6jqzY+qtEzPugoMD6U8UI+RjI/PlZdYT5hU10+kxJbPo80Wj5J/UU+nnS+PZ0fwj2oKco9zyTDPcdWwz07ar09BkWoPdW7lj3ncp89PsSgPRbenj1gvpo9h0iWPUpFij3VpIs9q7CUPYqRnD0PKnw9sQBfPRbyWT3pKFg9HCtfPRWoYj2BaGI94miEPVYweD1cImA9FOJZPQBefz3F3Yc9t3CQPdTyij0O0II9yOeQPTr4mD1g3o49fGiGPSeHgj2beH09ayR2PY4nbD2H8Xk9GTuCPWiDhj3a4YI9hKGAPQW+fT3IUYw9oNR8PfUXcz19anc9wRx4PRS+bj1EEnM9NcBsPXrUaj0VsWg94/JKPX6GVD2sW1Y9DHhcPcfxbj27kWc9Zs5TPeFeYD15EnQ9vjh+PYQ+cj1qilE9SEZSPSBOYT2LdXQ9hndyPRkbYT0TMn09qtJzPb0RXz33Q2I9sFdyPVQkbz2YSm49FdJ2PQEiej0NqVs9/19zPY7rdj2S5Ws98VV2PW/1cT0+M2M9EvtrPXMseT3NnYM93mRiPWlhXj2Mn3w9L3WNPdrdkj093Y89zaaAPZ6ahz3CpoA9cEiAPVzLij3nM4s956eCPfz9jz0/eI49QHB/PZvFjz0enZ09MzaXPeGXcj1Ht2g90TFYPSKMWD3cN2090Lt3PRRifT2eE4Y9cySQPfGjjz1ByYU996uIPVd6gz0CSWw9GshmPS7lZz3Zp1A9vmVKPcb+VD17uV89YtlXPWCVVj03ZXw9LY6BPefIYT1D+FU9N9RyPTv4gT0gZXU9haJzPYIgiD1R2Is9NUSDPWeucD05Tn09fER/PVsmYj2Com496mhnPUNucj1H43w9HixsPQV8eD3HL4A9O0yCPUjmfz1bfm890DR2PZe5dz2auHs9sw+BPVydlD3q+5E9XeKEPVefhD2wZos9XvqMPczciD08Mo0921yVPSLKij1aw449qrePPTV8eT0Rb4U95reCPcwEgz0F93Q9yYN8PVSLiT2AN5g97oOWPQssjD2gBo49nh+IPTtYeT2t3Yw96QSRPXaujT1gIJM9EfiKPXIqjT0J5oY96r2KPb5tlD12+oo95tOQPV+ulD367IM9PCyOPaVzjj09jJI9Q/CWPbQVkj04K5U9umiKPbJ+iD0eOo89odyNPToanz07fZw9HdOVPdmEmz028J49+16cPdBzlz1bKKM9vaWnPWFzpj0Bhqk9WvqlPSxznT1xEJg9bleSPfOAmT0wUZk9aiysPeYvqj19HLk9uyC6PYtdpD3pras9DJerPZNTvD34jsE9aufCPTuxwT04JbY9TIizPYkUrj32X609F6a5PWwauj27t7U9ome3PYCmvj2qX7Y9MQKpPW6zqT290rA9YTmyPdEBuj04CsQ9Y5nFPfYLwD1subU9Pvi1PTw2sT0aKcI9JibPPdr3wz1g1LQ9kAitPYcfrz3KTbk9mJjGPdXyzD3fNr492Bm9PZUMuD2+X8U9Lza0PQffsD0mdMA9dSTFPV66tz2SOaE9pW6mPZEDoz3EUpw9zDKoPQ43pD0O0J891qWgPbqurz26nr09skC9Pb9srT0r1qc9xPC0PY5QvT1xEMQ9eA69PcmDyT3e6dI9cNnEPdm8qD3RL6I9rUimPdNzqj1KAbw9EvrCPftOtj1L97Q9YO+2PS51sT3H2689k3K+PYN9uj0wy649lFmfPW7Lkz1k65I9my2PPT1QlD2MJ5s9+ruqPdCtqT2qHKM9KzWePfqpmD1yeqE9M5+cPf8Ijz05iIY99D6SPakcjD1pznk9fsGEPT2TgD2HZXE9Hv+EPbuSlD0iRIw9Q9N5PbrKfD0o5Yc9TQ+UPTeynT1M7qI9cu2jPaqfrj3++6g9ZiCiPXFVnT3wB6c91GmvPa50rz1yVaM9/XebPcNnmj2m75M9mz+PPQAYgT21qHM9v6t8PSnjhz0N14c9M3qIPezAlT0JZZE9IvqSPcnTmj2LNZg9kSaUPSjfjT3uf4o9kEyFPaJYiz1Tz489SZuNPTE7jT3sT109MMljPXj0VT1H1k890zRkPe0Mbz3kSHs979aBPfTjhD1R4n09MuB6PcUUgz1UMYI95ZKCPbQteT1ai2I9NUROPVBBRD0k5Uc9mRBUPRpkVT0rFE09cUQ3PTJ1LD13ACQ9dmw3Pc/iQT1heTo98ig4PdbBPz1+8yw93YYjPZ6KIj2gKTM95lI/PVmwPT1D+0A94vlNPdKeQz2kmTQ9tTgvPejrKT1phiM9yy8nPT4GKz2ohyc9Ur4kPRzvJj03big9LBgqPTVwPj2CeUk9DGlUPYobUj0vzEw94kNXPYEvXT3f4009oeZ5PSvVrT0AX4Q9a0eCPSuj6T1TFz8+i7kmPoCEhT1/QRc9BgIePQg2GD0/FBY9gUiBPcqo8D3YNO09cEwUPnQ4Jz4mWDY+NiMoPoTQFj5U0Rs+njAbPsWNFj4thQs+s9ftPUiiAz6s0xw+DZkoPpbLJT5ROB0+qZQcPsVWJD7D8xo+pYclPrrUMj5sESw+EV8lPuU2GT7bgxY+xEIjPrkSJz7wpys+FcdGPvjiMT4F7Co+o2ZAPvE8GD7ejiI+Q2gTPmmfED4D2hs+ZZQoPuYWNT4j80Y+wAVDPsWALz5n9Tw+aKVAPpL1NT4OSiU+RlklPtkKMj5zhC8+zt47PoFILj5VjiI+zpxAPsVKhD5i+VM+2x0tPqEyKz4W/jE+gxpGPqeVWj6IB08+YrA+PpdGRz4raDQ+dkolPh3mTj66P04+pU82PobILz5mqDY+XP43PnXmPT6Uyj8+xvkuPmMAET5S0CU+rOwiPksUMT5c/CE+sUknPm9/HD744zk+INw+PtGgSD68zE0+F8hTPqGOLj4H4CM+N9FCPgJ3Kj61Kyk+Ws4bPu9XSD5rMWo+57A/Pn1MNj6FLiI+BuxBPpHvTT6Yzz0+rzg6PpxnOD6QWTg+HbcxPlx9PD6e5yU+0xgXPq2lXz4VfU8+ch9sPosPdT4gQk8+nFZHPnHqIT4pJmo+wWx9PrZ5gD5/zTc+rG84PnlAUD5zwC0+5HIwPiIsMT6wiyk+rBEyPqeJPz7VJz8+OZUfPmcNJD6W7TQ+K1A1Pi8PNj6feTY+y4kZPv9VNz7xcVs+/CA9PjyjIj7Doxg+s8wpPv0wNj73qTs+L+9FPtY5ND4rtzo+ThA9PklUPz5H4zs+OIcwPmoSJD4xai0+svcxPmKxOD4SGzM+2SI9PtfUOj4XJC8+taJZPpuVSj4CBSs+1G8mPmvfOT6A9j4+IiY5PkjqQD6UqlU+W+VDPtsEKD4fuC4+8mRePo+sSD6rAC4+TL0yPrA0HT5Bdjk+VQVQPjsNWz5g/1Q+glxAPlaAST4cgTY+vbQ4PssEOz5WKj8+cqc8Pu5mRT6fpUA+nwxGPiYcQj7LGis+qeRwPpX5XD7jQhU+pwAZPrQsEj63IAc+y9H6PbA4ED4oezE+F+8YPiMvHj4FCTM+D+M3PtFCEz51Guo9fbsQPuoSEz55rQ8+Z7VPPgXNRD47GyE+VjshPvgkSz4S0Eg+23AgPiNyGz4nYxw+0oYiPochKj5Ouik+CdgtPrHIIj6/xB0+A+IvPpaRKz53piQ+bwMlPiMHLD5weDU+uOtGPqCHOD418iU+ZCcuPmm4NT4iqjM+pJohPtaMOz4jqUs+jdFLPnvJTz5LmE8+ysroPTWrzD3XOMM9pPDRPcPo4D2L18w9hpioPdI4sj0bg649bgCoPQdynz1J7IM97mxlPc4Lcj0+lYE9W4F2PSkFaz0O8Xc9N2B0PRCAcD26HGY97rtaPab2ZD3lPXk90sN0PX6tWD1W0k49CwNePYn8aT30qm09CJ1tPTsZhD08LZ09X3CNPaUQhD19/Yc9up6DPbzAjj1aEo89SjV8PQwneT3hN4U9CwWDPV06eD0FD4k9SL+cPRjlkT2X9pU9P1aKPZIJgD0rwoM9hKaFPU9uZj2dKmM9uVd6PRqffz3HInU9w4liPR3Baj0iRV89rWZdPSD+YD1Vul49YSlaPVLWWj1v6YE9PlSJPbpeaz1ocmA99ARePQ2FYj17NGQ9hThvPUyZeD3/uIQ9Aoh5PdIKfD1soH09uXRqPaQ2cT0Eboc9jKWCPXVQaj1Mv249/197Peoucj3u9oo9X6OOPRlZiT3It4o9GaWCPVpfdz0r8Wk9Cj5kPahEbD22c4U9vmeUPUn1nj2PPZc9RGCNPb40kT0rd5A9HvOJPZVYkD0NB5w9V/6TPWW8kz0YLIw9NiGKPV8TkT0sPI49nsttPZhDWj1AdlU9eiBWPeMxbT3Dpng9yxOGPQIRkD3zPJk9clmRPeEieT2iH4A9rR6DPXwIfz2Uu2M933BbPa80Uz0pF009lRZQPeRHVD3xE1E99qtrPUInXz2sQGQ9+OhbPTlfXT3Pf3g9Wa6KPXBXfT0zk4A9w49uPe2TcT27nWE9lRduPVs6fz221HQ9aclpPdgXbD3D2IM9Ab+HPai1iD2PgH49U59sPbjPcD2RIXM9S2uAPXqPhD0G5Hg9adh4Pc20fj2i5XM9ZbR0PXo/dz3dHGg93xFzPZ6Qdj21Y3c9GKN9PencgT3NnYg9DfSIPZpChT3ij4g9KiSLPVgcej2Nh3s9h9iCPS4fhD2KeoM9MNx/PTeShj0hYKE9qPmcPZVnjz1buIs9cEaMPdAujT3zVYg9xHOMPZj7hj2PioA9egWCPU1cjD2E44s9TaSLPblMkD2vvoE9TVOGPWG/gD2aV4k9La2IPabBlz3NJpo9FlKSPZp/jj2TIZI9sdChPZgylz1QR5c9m0qRPT/MlT1HhJY9zF6jPYuMmz3VupQ9feGVPVBfkj0hHpU9iIeLPW3YkT11BpA924iQPb+OmD3hOaE9r/qePUV6rT07WqU94cWpPf/VuD1usbc9eWC0PQ6qqT2XLKw9n5ypPboDtD0sQMA9KqfCPVOAsT0miLA9PI+nPf7QtT2C97s9Vd20PfopyD2iWdA9KIe8PYX7sT1/l709opW7PTMhrj0OHKg9JBajPfk/pz0Gyb09z3HDPaZqtT3zI7U99wO0PejUsD0qxqs9jJLBPS13vT0sWbg99zS5PTBquj3FTa091r+tPZpAwD3fSsk9JczQPcQ0vz2ZAbk9HTeuPSqFsT1KpqY98YWpPVCHmz3Lbpg9wD6mPbo9rj3jIqc9ar2kPQIenz243ag9vRSjPc1JpT2Rdsc96SDLPXOTuT2iP8A9B021Pasauz1waq89RA6vPZTGzz1vx8U9lc+3PRRbpz3pw6Q9HTmkPRyAsj0fu8M9r2upPT6Aqz2UmLU9YC6ePTmVkj3BU5M9n4ebPXNdmj1jc5k9mESbPWYCmT0GIZ49wbmdPYFqqD2UHaA9YHapPSNttT3UYLA92nyXPY+tij10UJE9ATeRPbTakT0pXoE9sZ6BPdE5fz18pno9U5yMPd4EmD2ZSYg9XTKQPT7eiz2xupg9BTeTPW03jj3Dk5Q9p8+XPaczrj292a09aDikPX/gnj246ak9NeywPZmDvD3F8Ko92sWXPRuqlj1xr5E9SL2WPZmqjz04KXs9ofxwPcaRaT1+SoQ9f9+HPdOukj2uMIo9LNSHPeGClD1uo5k9NkWQPZIKkj1fmJo9DOiVPaOIkz2L9JA91MuOPT1Oij2D6Yo9UbGMPW/YgT02cmo9ecdZPZgFRj2zMVQ9QgJuPXbGhj3CpZE9G+CDPQxehT3GlYQ9vkqEPR+ViD25fHo9C1dlPeqPcD0j/Fs9dWVVPTeFWz0d6WQ9fhZXPQpQTD25Ckc9lQRDPchUMD0Ech892NYyPf0UQD14e0E9eDZHPcuOQD0PWjQ930ErPbR6PD13z0E9b9ozPatGQz3eYko9GeZXPfK0OD3yzCI9vBEkPS5AGz3CPSc95OAnPVXwJD0CLi89lDhAPXi2Pj2SZS49lyM9PZL+SD3q6Us9y91CPXe+Rz3DqVI9JtFNPVJ/Uz1BLlQ9Of5TPZr1cT3gHAw+jLBXPhClQD4qwiQ+7335PVuUdT3Fros9Z4u3PSCihD1hDI09md3QPRUVMz451EM+fSI6PneSID4zTRc+yWQVPmRjDD54SR8+9+0oPtBDIz5WgR8+HNoVPrYpJz5wzyQ+4gwlPkoGHD7IDiI+8hInPv8cIT4UHiI+B+orPmthLT41Bi4+5vodPhueGz4C4BQ+N7QfPsW/LT5koBw+7cAePl3eJD6/Wys+u15IPvJfJD4LcCw+JLEiPptsEz7ZDy8+5FZIPnEIPj7TrSg+w3RjPul6fj7L56E+l6ODPpJCPT7GKi4+yy82PoJoNj5LszA+Va41PmPLVz49dl8+0ApaPqzrfj6PhGY+WRIsPn2XQj5tlT0+8dErPsg9Mj6BSzg+4ns9PsBdQD76cS8+zasVPpRXKz60vE0+gJs7PpZ6KD5B8zA+X24sPgaPPz4hGDw+1CsuPkA/JD57/R4+iv8iPkmSMj6z1iY+7gxGPkpfQz68n1I+KSBfPmjnMz435Tc+mmZEPncFLz4SGRs+p9ggPtsoDT5CDC4+R8xDPlB2Oj6oXTk+AkxJPqyHPT6gWx0+ljEzPoRiST6ZWDI+WSo2Pu3/OD7H+Cw+I8EuPnJiMD5uyzE+YehDPq5XUj5ERDk+nUlFPtCBUT6RaEo+TX4pPp2vFj6FSkk+YjRpPrIGZz5W8mc+3c1kPrLKUT5FiCk+dZgtPr9JLT5cqyw+kYk2Pm1gRT40JDY+lOkoPrWdKD4fvDM+j+43PgyKNz4dVi8+htAuPs1hLD6sQUw+cktUPvNePz6btDI+adYmPgQhKj6bbCk+IpkuPtdtPT6Br1Y+OM0zPvgEQz44iT8+QLMjPigrFD7QyjQ+IxhJPik7Lj5joi0+5404PgcVRD5AOzk+Ssg7PhzFNT7n1CI+6YEoPk7pKD7aHSY+XhgrPnTKPz6v8T8+Mqw1Pl2aNT4uhzw+W25SPlGdNz6mbEM+J8FwPmrLPj7tS0M+a8hJPoHOST7MSU4+hhA8Pv3YQD6qyzM+b8UsPvPxQD4SNT0+AiA2Pnm7QT7vE0g+s61OPgTLRT7VHjk+5nEmPqGYHT4T4SU+ALU2PttbIT52g/o9ZckAPrYzAj4s3AU+Ppf8Pbz9DT6Cnw8+aMwhPvlKFz6xtwY+0H4VPqVjJD5atzg+EYBNPswrOz7eUjY+DWA0Phg5LD4nmCI+xO0nPtTYKT4Mrzo+NO0jPjamMT45BSw+r4QxPk5sGT45LgM+F/tEPn6RZj7MkCQ+BGQwPg1dRT4W9kU+QK1cPh33Vz7zoyk+3W02PgMRTT75p0E+x6YyPnRHSj5sLFY+1r5EPlXbOj4tzj4+ZzWnPZUHuz16KMQ9A6nXPSOh9j1ZNvI9UjjBPZhtpz1Olq094i6lPeIXiT3n2HY9oKJXPaicYT2FIXM9f4WAPQGYgz2md3Y9QONuPSPTcT3rZWg9nk1kPV+ieT0xYYk9qSh2PQqhaz1OzHw9enR9PWHYgT1zMX09Q494PTGxbj0SnXg9xrN4Pc2nej3DyIA913WKPW+Lgz06LoA9sDiHPdOdgj3P8YE9zh+MPQNnmD2/Opo9thKMPWJeiz2TtIQ9uPp8PVlxdj26JWo9tylwPeBUbD1P4ng9eat6Pa8jhD0F0IY9dSF5PWHgYj1lM2s9/BpaPQxGXz0/H4Q9ubyQPXmchj2WFGs9imxuPbkofz1Iu4k9Q36GPQC4fT02BoQ9hCOPPRxKlD1FIoE9OQB2PZmDdT1PtH89WsKSPbM3iD0Ce3s9ykqDPc2jhj0Pi4g9W4yPPXlZlT12AZE9Pw+DPYTTgj2HYng9q992PRt0fD1DqIE96iaGPQCEgz1VUYI9AR16PSOOej0AuIw9uwKKPYLliT09sZI9ji6PPejeiz04+o49sN2CPa5fhz06N5Q9PwKHPSRAXj28Lmg9rXh0PZPbVz0Lm0s9e3NZPStJcD1KjXc99qSGPd1miT2JgYA9x+91Pe4tXD1aU2I90YJ4PdHQfD1Y2HA98VF4PUHchj1iNIg9jKh8PX3EYT1sU209DFljPcKfdz07ZX8947Z/PRcKaj0n5H09FI93PfaqdD3+s3o9cF2HPfTTez0daW49i719PQkwbj3WTWY9qoplPTxXdz3AmIQ9OFR1PUavdT3P6HQ9EZB+PfMyiT0vbX09gUqNPZKvkT2Tk4A9+yxxPanFXj2vz2o9dZVqPW5yUT0/+2o9L9N7PbISej2yJH492juEPQw2iD05koQ9xiCDPWI7lD3W4pI9l+eLPWmEgj23TYg9OMSJPVcbhD01ZYw97r2SPe9/kz1Y+ZE9momYPW6jlT2C3pY9UhOVPd1Igj1pIng9aHyDPXr2kD1Y4Zk9f9mcPbQ6mz1Arpc9da2MPQkTlj3Am5I9ZFCOPYaviD1RxYY9q/GHPelBij10l409wkWPPcTanT0ia6I9kgSXPWnxkj2cgZA9bjOPPRZTiT0Csoc9RiiHPXtVlz3LAZA96WqTPeK9kD2K+5I9Bp2YPbfsjT3IG5I9sRCSPTs1mz0QwZ09nGqWPdGmnT20hKQ9/vmyPSqepD2JtrE9rIO7PaUJrT279ak9jqGpPZyOqz0Cpqk91KWzPV0kuT2b0LE9zhirPbe3rD0NWKQ9DReiPVm0uT3e9b89RR24PVC3qj2OLLM9RjGkPQMoqT2BRa89K6yzPTYAsT0tC7s9MsW+PWmdvz0Krrw9JOCtPeDYrT3S2609dmekPekjuj0kGLY9b/21PeSvtD1HfLU9bxu3PUP/vD11LsU9NYm0PQ1IsT0Og709yaO6PcdNqz0An6o9eAiePd7soz3hJao9wtCvPWivtz0BUag9biCfPQT8nj2H8qY9LgvAPeiuyj1mH8M97zrHPTTZuD0B9sI9NP3MPVvDvj1XTLg98SS5PXokwD1+srQ9TISnPfU1rj0MGLU9OSeqPduIsD0jfq094iCmPSiqrz1S6Kc9aHSfPaONnz0R6549BGOcPT3WnD0Lppg9+K+tPWv4sD0vPKc9jv+jPZXnpD1+ZLc9Gc+7PWHEvz08W6A9J6mRPTVJgD2iAYU90CyAPS/7gz0yZYg9biSLPR6qjz0FW4k9hLmRPY4BlT3QKZ49GgmWPQSPnT07Q5o9aE6TPRVZnD0VC5I94yKZPT9RpT3gC6U9d7ykPeb2pT1IbLQ9Z82gPaeunT3BjZY9qF2BPQJ0hz0RG4Q9qWBtPYtpdT32s4k9wa6QPVQBjz0UiI09Sb6LPb8wjT0z/JU9kuynPXRYoT3V4Ys9RWSOPSWAhz0Qooc9FGmFPWqrlz3BCY49r66EPY/giD2JgIc9wehwPWbcYj0i3Fk9+eFYPZqvWT002GA9h66APfxkjz1RFI89n5SVPdcBij3MmH49AzSAPfL+bz2XcH09mWaCPVG8Yj1w1ls9cuh4PXNfcz1fv0k9i2o3PWBENz0LjkU9aU5IPY+SSD0QDEk9wRhePZe+Wj0bQU49dj81PUNRNz21gUQ9SlhKPSFnTD0xmDo9fA05PcmFPj0kVDA9gzMoPVN7Iz3UrzM9EMNDPfjZSz0QTlM9gwo4PX6TST1VGFA9fR8/PZv8PD2Cezg9AOE8PVLuQj3UuUI95/dEPSlPPj2rHTk95RQzPUcFNT0npj091EZGPd2LPT1fRao9ikgIPuRiqz1o1VI9NpVWPSMsgD2ww9093jXuPfj58z2TUPc922QXPqySMz55QDQ+kxglPtfTID4BghI+hZAZPlU7Cz5gfRA+v3wZPgYuHT4zYyM+3JMjPq0GGT7CLw0+KRsQPnk5Hz4rhB8+cgEcPkr6Gj6/GS0+h0MkPgCBHz5CsyM+ZLkcPsaVGz6wWRk+RJcfPowREj5nLRA+cu8jPkwLOT5LgzQ+qM9GPlFWRj5dNB4+IacPPrE/Gz6WjSQ+IB0zPi2FKT7KQxg+dzZlPnCOkz6j26Q+0qJtPiJHZj7XEWI+pB4/PmtuNz707kI+oGFdPuhqXD5VNVw+vydUPu4VWT4aeG4+m1tPPjPiQT7sOD4+C6wgPnJRMj6O3Uo+XaxLPk94Rj4VQzk+AWM5Pk8YQT6cPSc+wiY4PoHQLT5UODA+xgktPlpvLj672DE+CqE3PrY7RT4KTyg+kqoiPmJ3Nj5Kt0I+FFE6PslYST4nL3I+8y1SPqDMOj5eJUk+bXlTPn6ETz7kZUw+B8lBPrj7Oj7JtDk+emslPhvEDz6qxRg+k4YwPibLKT7XfhE+2HcrPhouWD7VRFI+Iz40Pj9aQT6cNmA+Zp5TPt1APz4HljM+cSYwPrR5Iz45yjg+EQJKPg3TMT7MOjk+KZgvPjkiSj7/Kzo+6Nc3Pp7ZPD55QjA+crgxPvBzPz5bSy8+Q0kcPvBUND5Udzc+Ld9GPr/hPT4mmC8+xJJCPlqiRz5s4UQ+VGo0Pr+tLz4R2yI+KSolPjYaPz7kRWA+NcJJPtxwQT5fklE+c3g7Phj/Lj69wTM+ors+PrrOTz4l2FQ+xFA1PvJDQT4uMD8+kUkvPnHmKT4MRz0+ZidbPsaBLz7/bDE+ZxgyPlPUMz7bACw+9IAfPpHlVz7IjzU+CIszPl7OTj4mvUM+2y0uPpS8ND4bVj4+7XFJPokEZD6JV0I+XspGPrM1aj6gf14+LhRLPpTSKj6tCTQ+a9orPjZ5MD6hE0M+CmhCPsDtQz7Koz4+cPc2PtoSOD6iJTI+lJ8pPvWVJz5wsxk+PDwUPi1wJz50GCI+5TEFPsGAGz4aPC4+OrM5Pi5DRz4ZWCA+K5I9PiUEYz5ngCw+EKgaPiQSKj4bXhk+hm4TPtDDKj6A9UM+sykoPjsOLj4ssj0+ZelWPg95Lz44zxw+CbctPiulJj6AOwU+ZlIePnkRLz5lKDY+jJIkPjiwOD5W2zY+vPEkPsLHGz6B/CY+9bo6PiItND5Dvx0+VxAZPpbcPj6tVEo+vIc9PgNaRz5ickM+VQBGPuPFQT66R04+AddSPp5dQz7vUD0+RmxBPmulMD7IDB8+xO6pPQj+pD079749I8bkPZjJ/D3SxfQ9ugbVPf4duj1GD6Y9KPSkPSoynj1m6ZU91dWBPYoOfD1G6Yg9b3iGPdFDez20mH49P3JwPfFhfj0alYE9gu2APQb9fz2D1o09j9yLPb0ikD2/MIo9DpmSPd6hjT3B9HA9WZJbPXqUWT2Sgmk9fgd1PYRpfD3xIGk9hXhsPcJZgD0qQoM94xeEPZPOgj0ZNIo9TBScPeDUlz0HGok9ZhloPQ0rXz0pWXc9WPOOPYUAkz0B0Yc9BUV/Pd9sfz2cfGo998V/Pal1lz1GSJY9DPmmPf3OlT1384s9bLt2PfpfcT3qa3k9M/aRPcKclz28FZI94JCJPdDJfD1UAIw9NP2UPY10mT3Sj5Y9ZNKJPVFOez1n+3090waAPXiQiz1XcIg9A/aBPXm5cj1hXnY9UCB7PbrIjj2lYZI9X5yePZRngz30PHA9805iPa2OdD2xUIc9uFqSPYCdkj295XI97e1+PXhpjD2D0JA9+4iCPdyXgT0d0Xk98oaKPb5Siz1FPYU9bz97PdC5gD1ex4s9Ws2DPRIqeT3udns9p8t2PUHSbT1DTm49nN+BPVg9fD3jHXk91elxPXkegT2m0IM9O2+JPQjwfz2lZnU9+IJ6PYVdhD3uFJI9r/GEPc5ffT0IyHQ9juh+PVHYdz31CXM9roZhPbBqYz2V0nQ9TldvPQc6bz2XFHg9GhZ+PTkgiD2QBII9gPtuPTDqdz14DYQ92FOVPVlSmz1kbo090rl+Pa4dcj1sRWw9DC90PTMhcz3BcnI9wKN4Pcr+hT3dzG49AJR9PQcxjT3A+4k9qqKAPcqFbz3QKWU9vMtnPRs1dD2c8mE9H3piPQM8ZT13mnk9hQZ0Pbc1gT3o3o894nqcPVvplT23p5E9VCCXPcPSlz2NQo09suCNPXKGjT1ivok9T2qPPTBtij2+k4g9+reGPcf4gj2wkYA9peWHPdsikD11Pog97ReHPZ4Ugz1g35I9/+yMPYDijz0kf5M9XOSQPaiMgj3NAYU91XGOPe6Xjj2bgI49lfWKParEgj1W44U9jbOYPRKjnj3KYJI9Hw+SPfCOlz0Q4KE9pfSaPa/4nT3eFJw95bCePdjskj3CBJE9u1yXPRt7mT1IYpc9R3WLPeRojj00uJs9pROHPV0BlD0PDpY9o9iUPbKEoj3RcKk9o5m0PdKorD2JE6I9TjSxPQVZpz1jerA9Sge4PWA2uj2DY6o9l76qPUhlsD1U9ag9fRukPQXEqz0ey7E9mHquPW06rj3kLqo9YcyoPZwpwz3+fb89Vf2zPSfLqj0hFKM9dBWiPdLqoD1Dyp09rlazPUnjwT3hsMQ9/u3JPTB0vT3mZLI91lKqPXJ0rj0wPqI9tO+cPcx2pj2dkbk9hk+7PdHDwz1AEb894D62PVynsj3Prqo9mqqwPWBevD1D1rQ9LlS0PaXytD3T8K09oTyZPWlkpT3Rha49WLavPS1Buj0bs609RPCsPckzqz2w+7I9YxS2PbE8uj1HJ8o9sIDDPczoxD2i58c9SwG+PY0VrD1JP7U9MB+wPYChrD120q89jEO6Pac+xz065MA9oqmpPSw5tT2IMrM9YXOtPS2atD1IaK09aXK5PUdMtj2Znrs9Ww68PRS5rj2zeqs91lW7PbdqqD1AwaQ935+lPaIAnz3cEZo9TxmUPQf/kj3mpIo9+el+PeG/dT1rE389/lSKPZV4jj3BYIs9x/iHPfEijj1yEJQ9EJKPPQxojD0r+449tNObPdWjnz3jR5o99uCcPVZvoj3VDqQ9ET+WPU5IoD1NK6E93t+rPWtvrj0XrKk9rJGgPetajT2fwn09Tu98PVVWaz25e3M9jQJ5PcbogD2Vz44982+PPfH0jj14hZI97BSxPenVqT340Kw9GyCpPRXulT3QzpM9SqOQPVhCgj3riY49/+ySPd3pkT3/Koc9m5CGPXxOjj3Sh4o9boB0PSv4aT0hNmo9sCt2PYEOcz1t8oU9XP6NPcd9iD1NMZ49MLuQPXBSfz20EXY9UEllPR3TYj2rOWI9QjpqPWLzZD0yUXc9S0JuPYFcVT3GMkA9BCs/PbtxPD05nT49EwZVPQYhYz395Wg9uNJpPUIOVT0ymUU9XZdBPS3WQz3jpUE9NTlLPfJmRT2/zTQ98CU2PWmOOj1UrjM9UPIqPensJj3vETU9zp5NPfgAVD2LXFg921w7PTiNMD1sjDo9G3Y5PXHVPz3KGjo9y802PfszOT0mDj8961Q7PaldOD0n7DY9BTk3PeKrOz3o1z09PcsxPac9Jz0t7jU9GtVBPe7SQD3Z4TU9KA4yPazHWD1N/4k9riaIPTWimT1iHsQ9NPsJPtNqMj4n1yY+cukjPmT8Jj5VtBI+lK0VPlr5Kj4zOCQ+e8gdPqisGT4yoSE+3FQwPpdeFz78VwU+qK8TPsz+GD4ooRM+z98TPvyjHT7qeRw+CwkbPjqcIj5+1B8+HQAcPkN7ID7JpBg+EXUJPhj1CD6PrSM+DeQ4PjHRPz4h/z0+HB89PnT/Oj4N7ik+vCsSPq5MMz7gJTs+yrEyPiPqNz5nEUw+HcOHPmbwkj5/2VQ+tqRQPsHjRD7boy8+j5EqPsCTNz6HN0E+Yt5QPp/tPD71aUM+wvhSPja5Sz6gqmA+YkxlPolmQj5hPjM+LL4wPkhbMz60gkk+vWM+PoW6OT4B73E+OutbPucZIz5IsRo+BFwwPqeeKT6ZNTk+n9FFPr+gLz6IXx4+8XosPh4FPz7SKUY+TYdEPgVJNj5Ik1E+IqZNPhbRVT7GIoA+D55rPqlcaz5AQIA+lpV2PuImaD7QGGA+VDYzPtVVMD4/Nzo+wJgXPkXiAj6tcxI+ZVU1PrxKPz7reDU+Y/M8Pt5DUj7a3lc+i+pQPrq+Oj6IGnc+isdJPiVePj7t3Tk+DscqPhC7Lj76jlM+DW9BPtXPMT67tys+E1MsPh2SMD41BFA+DDdIPoNtOz49HDs+8j40PvWRNz6K0zA+E1YhPpzAHj7awUU+3ftLPg/VPT6YRi4+wUQqPsntMD6CrDo+PjZIPuOqOT76rzI+b8gyPuF5OT65UUo+BgopPn0TLj5OMjU+ezo/PlylNj5N3kA+TfdNPqThWT5qwjA+jZsxPuiKUj6yBz4+p+QuPjMbJz5SKio+KzlSPgqtSj7zTFk+8FRWPtm8OD6HIyQ+pdEQPqmsSj7vh0A+FipmPpcWcz5QNEg+cIp5PuuQiT55eGw+zmxcPsUKiT6wFlk+EHQ4PhQKrz7U58A+PrRPPn6oLT4rdS0+KwgpPvorOj6nGzk+FOQ7PiQAQT6kFDI+R7s2PtMyPT4hsUk+IMk7Psn3ND6YLjY+aos/Pmx2Pz721xM+IbQfPixGMz4OsEA+cl89Pp3vSD6DPTs+7mhHPomjQT5IIzw+9itFPo+UPT4c0SY+7RcEPv4sJT6k4js+4LAlPluiUz7+BkY+6MMzPutuJz7KxBk+b50oPg9oND70DBs+6VIMPquvDj4nLEE+C4pmPgpSRD7MeCA++ScZPshWLD6O5iM+WVIZPk4DID4o4hQ+0ZAcPkI8Wz4qZj0+3iA4PvP5Rz7CAlI+YGZiPk3QZD63/0s++0NTPq7GSj6FdU4+Ga1NPsvfQT6iREE+iRykPdeYuT3q4rI9Jc3HPUypAT4vdAc+EfDQPUfsuT2N6K89eTitPSPWoD3WQok9uTh4PcT2eT1hZ2s9cHNiPVoVbj2tD4k9+v2GPSVefT0XdIA96u2HPbuejz1vB5A94kCQPQ3/mz1+G449FEOEPd8Ygj1emmE9jqlePfXJYz3aEW49fYV4PYNUhz1q25E9vTN6PcKbgT2NL4s9hSuLPWm4kj0dBpc9ZvmKPVU7hD3GNok9ACp8PXPNfz2vaZI92nKYPZcDjT0k8oc93XWLPfzoiz1aaI49VWeLPVf2kz1BHY89GmqNPeW2gD00UHQ9I2p1PR0Bgz0gKYw9v8CHPfWQhD3vEYA98RaCPe4sgz1og449WKeMPeqMiD2wGYk9UKaCPbzUmj3+5pM9whVuPVF8fD1e2o49w3OHPTLohz1xPo49cZ2NPd3chD0hYoE94zmGPbIMhD2pd4A9iu9vPUj+gD2s83w93HxuPSwbaj32yX89bgSLPVJFij2tJXY9IKV0PR2Chz2hr449YNaTPWurkD1uaZo9nSmVPea6ij2IE4A9LItsPVhdWD08SW49zw19PQvXez34wXQ9RQ9zPZ9gbz0NxVs9kHxkPV5YgT08TI89DN91PfL8bD1Xq4Q9JeiIPSDdgT3CQm894ctRPRdHXz02WWk9Y91bPQj6bD0YmnE9AsxwPUd0bT05S1g9snVcPeRfdz386XI9KuKBPSvHfj2nkW892VBjPXXHfj1qcn498Z5+PTQmez1ebGk9FXBjPU/Edj2NuYI9jjyGPSjZfT0yqoQ9Y7WaPVwmkz0w2Y09wAF8PUkyij2ABYk9oh9rPbhiXz3ez3o9+yeAPak/gT2IrGo9OC5rPcVgcT37tY89awCEPaxrdD05AYc9HS+XPVjkjT2JwYk9MciHPbiojj0iaII9dfOJPUcShz1N0oE9M4eEPZI7hz024I49uMaGPZd2iT2+OIc9txmNPbPIlT1/QZE9PieFPUMUlj16rJg9gAeUPfuTkj2T9H49iCF3PfaUeD39Rno9s1l9PS/ThT3iWJc9YfWOPb47iT0+5Is9XoCNPWWIoT24PJ89iqCVPQKGkT2Gh5k9cxmRPRgZmD1R6Zs9OH+QPSI0hj1j+4A96T2FPY6zij1xkZE9iY6TPWfdiz2hC5Q9zvyaPZj0nD05wZ49i9WkPaZNqj1nnqI9LsOsPYY2pD0eJ7I9yXCqPVjGqT1x/qw9CY2vPTsTqD2o7549856nPWlfuT3TLaY9hGmnPWQTtj2LobM9uhepPT4bpj27bq89rd+0PeSKpj2WqKw9PsqtPSA4sz0B0K49BNCtPZ+jpD2nwag9mwC0PeRjxj2JkcA9ISzHPe5Vzz3Hkss9l7XDPRrtuD2ZQqw93gapPVEZrz3u6KY9sz2rPfc/wD0pDb49HGCzPVslsD0PB6Y9gEqwPSV1wD3ZR7U9556sPd+Rqj3C8549HMCcPVtEpT1YALY9D+G8PfvewT0Rmb89V3K8PYkotD0Z1689aAu6PeHFyz0s88c9j0OqPSUxsT1JNrY9gq+lPUxSkj2lyp490kuhPfWVwD27+sY96kG9PVY6uz3b47Q9mZqlPQo5nD0Y1p49lC+VPfmnnj2+HKE95dGyPShVuz2Lca89/tG3PQ6MuT07sKc9q6inPaPdqj1EFKA9MseXPdPZkD3fqY09Y0uGPeAHhj3yA4Q9lgp8Pe2Ycj2nvIM9KziNPdRKnz1EsqQ92biXPQ3Rkj2lPog9S+GFPdAUjD3ZxZk9aAuePePznD1H1Js9TzCePWrypD187Zw9ZPKOPZIfmD1Ib5c9HAyPPZAIlT1vP4c91hSDPfv9gD2E3Hc9GTRsPRikgT3nVYg93DCNPfwwlD3rfp49v+mgPUiepj1U4J09ezefPd3boz2Ul5s9Q+mZPY8ikj1VzZY9h+uMPUpqlT2DEZ09yVeSPR6bmz09J5g9ysmUPVBamD01EZA9eaOGPbRGgT04nHs9O7V+PaKGiz1mUp09fsWVPcQuhT0qGng922FlPeNldj062Hc97cNTPUgmZD3BK2I9CsRfPTT1cT09lHo98sVlPWwwXj3CMWI9kRFIPfesUT1v4WE9XOpgPV7TZT325VA9M5s6PQifNT3oNEM9xehCPW/mNT35v0I9w95IPfuVNT29Xy09LUYnPVVKMD3uGjY9NiwvPRx4Kz2h9Cw9SQY1PcdCRT1rJ0E9z+1BPe4QST0krkM9QuVTPfuiZz3Z4WE9uS9cPSXNRz3VMlA9rENfPRQbVD3IS089YAlHPd7yRj1KWEI9EfoyPcvvPD00ekQ93hJBPSYkRT1H9kI9rzQ3PcWTOz1p8GU9EQuuPYhTwz1pluY94TsFPrJ0Iz4ZnjQ+e04gPqCAJT4EqB0+odwZPjNpND4RWCg+WlYcPoR2Fz77vSk+i3YzPiCdJj4Cnys+8YgdPmu9Fj40jRY+hjkfPhcEFj4Vexo+fjcbPvStHz6UcSw+Gr8bPjpcGD7CYho+kIYVPmByIj4rchw+2uULPjezIz5KbyI+butFPtAyQz6o1Cw+AnQLPoA2Mz4XKkE+0DRLPvmcPj5JClQ+HepqPju2Nz7YFDc+tAxZPrRwUT69ly4+fGMtPhh1Xj4oHGA+NC5cPincLD4XTSc+dxssPth8KD7YZz8+aUdNPi8HOz5nLUk+wwU6PmuwIT4Ofis+M01bPrutWT4fMS0+YdIVPn7+JT7r3zE+2uEyPkTCLD7BES0+4B83PkiYHT5WxCQ+YX47PrCbKj4AdjM+mNItPrX+KD71Zj0+4fxQPjMogT52+IQ+8SxZPmI3TT4JkmI+XvNwPiACYz5U7VI+GRQqPgxRND6nuh4+qdg1PoQ0QT41tTw+up47Pk1VMD5/ITU+tNtEPqK0Sj7GRkg+cRtHPrABPD7Rhz4+NwsxPm9pND7S2EU+QGwePtY9Lz6Kplk+8w04Pn9FOD6ZujU+E7kzPu9PPD5iOE4+9+tIPth0Rz7n7io+GykuPooWOz59WzM+ifxSPoqtSD4MrUA+L/1GPu0ITT4z8zA+mtU3PrtiNz5IphI+mqk9PjaAUD7hvEs+XvU9PhbaYD5jFFo+ydhDPnfEQz4REDg+5N4qPvMxQD7YNEs+0V5CPoc2PD4y5DU+iLJDPknHPD6V2yU+SvxFPgOHaT4TSz4+QgsrPpnoQz4yGlA+EFlLPojGJT6yDRY+YKcpPlpgPD6CIzA+h4ZiPtdLmT76bGk+U8ZlPkQMXz6W54M+OKtQPhNEOj4KxSc+T1g9PiGgfT5SUo4+EsxQPsI5Sz5yRF4+86ghPvKoPz6g0Wk+c/JWPt5SPT4n4zI+Uz0tPkT7QT7RdUo+2ztEPpByMz4DCEg+kfNNPm51Fj7dBRY+HVspPtZlLz7R6jI+Z309PlASSD748Ck+hFA0Pke4Jz5uDhc+SBhHPsxhgj4Jk2I+N/IBPkOK6T2EKhY+kdM+PlieYT7f1U0+fQgiPqsxFj5XkA0+eZQcPh8XNz4dskE+zycePvX2AT7zyE4+RUuHPoOIND7jgRw+DbURPpywGj5T5yA+LRUgPldjHT5J9RE+05w9Pm2vaT4f3lg+7XZOPurmPz7LGDM+O4NGPgXPYT6aqUk+OidCPvcCUz6wME4++6pDPgMIVj6JjmM+YqzDPYTv2D0CMMo9Sp/KPZue8j0XgRA+RJXRPclMoz0M3Jk9RVOoPUTJhj2HKHE9ihF3PXMeYj2p1Wo9bWJqPdA5cT2OFpE9AaWdPQ2vhD3Fvmc9002HPXqwhj3K2pE964yuPXzWlz07yXo9tiFaPf7oZz2xZGg9BXp5PR//gT1hq2o9MlFvPZaUgj27UIQ9PJRyPf0edz3h5Yc9vMSaPYcRmj2Acpo9B5ihPU5/lT1t65M9BtqQPbzajT1EyoU9VIh8PaqtiD07jZ09hKuYPZTPiD2KW409Z0aYPVXfkz1iGIg9qf54PeWreT0GkoY9vUCTPexKjj3+04E9qd59Pbi/hT0aOYk9V3yEPR/ceD3q+XI9InyBPcdRkz3qeZU9Rq+KPRjHiT1L34I9syqBPajHgj2hSJc9w2qZPTZGgT35CoU9N2WGPWufij3phZM99FudPSIOhD1Gqnk9t8l2PZcFdT3XTX491fZyPQEZgj001I89Nst6PSxVdj3xAmk9Be1yPa1xiz2n85I9kjyaPQKnmz08GJs9EpCWPYRjeD2NH249nq5yPSbahj2HEpk9AueQPdwoaD14zlc93FNhPUC/ZD3GDXg9vq2EPdL2ej3DJYw9Z/t+PRWlgT3PeXo9koxuPR7fXz0kOks9wZxUPXyWYD3ALmE9Ny5cPYorfz3Ws3c9AfldPeoVWj1eoFc96JBkPZRmWD1iZ2I9FvJ3PYIygD3+smk96IlvPbhccj0krm49TvxwPeOteD12b209TXWAPQDGiT0f7o09/qqHPdIUZj2Vmns9ZIeJPaNHhz1gEYg9ZeRuPQbSaz3DZ2o9awlePVc0XT3xcWg92GGAPW2uej2kL2o9HMJbPcmGbD11NW09fyxvPf2xgT0d3pU92BOQPbaOjD3kGYs9zWqFPWu/hD0bHY89jxyNPerifj2ZEYE9djtrPXOdbz0lsIE90J50PWRQjj1mhpc9rfSMPTUVjT2QrYs9p1CNPWGNij0xoIw92VOLPYx3gT1U73s9nD+IPYtdkz3OK5U935iWPbvLkD2JwZM93viVPWpZoD0nYZA9YPaFPfBZlT1PU6E9A0+hPedUlz3KA5k9fQiWPXOHkj1XFok9QmqEPX7rij16TYg9iHqGPS18jz0wVZU91CCTPRQ6mz2pnpo9dT+vPSQNpz1+LaY9ylSfPchXpj1T0aU9vhKsPfmYpj3CqZo9NPOjPVPonz2zNKU9oqatPfiwqz1cUKk9fNGjPZpDrD2uXaI9WzKjPSB8qz1cvac9SUmkPX6pnz2V5JI9BJCTPWH7kz1EuaE90Wu4PT4DwT1O3rk9wACuPUhBuz3CQbg9bVqyPUSzuz2dL8E98Dm3PUcMxD37FL09I1G4PWHVrj3J4aM9fbeiPXf4pj39Lq89BoKvPSb7sj2LmKI9VrSqPc+HpT1BR6Q9ZPCpPcRyqT1ZJ7M9axydPXRNoj0wxLA9WSCmPTdXpD2A+6U92cOpPb2BrD17V7M9EcepPW55pj1H+7M9sGW9Pe/bzT0tKMU9xzzTPfbVwz1Y/Lk9mDSnPTkEsz10CLI94N2tPfwQrz0KZK099oOvPW/ZtT37haE9BOeRPRLmoz2hUqw9UOSePVQbnj1jDa89f1vIPd9Frz3OYqA9mrWrPRd+pT1LFp49TuivPZfrnj380J09IXmWPWp3iz1MgZE9+8N4PWp1cD1IeoI94ieMPTPBhT2rV4c9FZWKPWIpjz1E7449uxeKPfxFkT0WSpA9PdmTPZVPmT3eppo9T7SdPZI8oj3lbKI9dhScPaSmnT0EapM9vU2HPYbfhz2InZs99O+VPZlzgz24jHY91c1/PZ03hT1poIU9VemDPY5cgT1ZMYQ9TOONPQPbmz1YSqk9t/avPXtYpD2tVZ49C0aTPfmVkj1Xj6I9HHijPWpUpj36jaI9bnOUPSHFnT1nEZs9nXCWPU/kkz1jvYk90Q+DPeNKhz1CuIM9S7SBPe3vfz28FH49CAOQPXR7hz3WZoI9+SF3PXCmbD0j1XQ9h9mEPbe+iT1XU1k9vzRHPdcuQz0YuUg9BwhXPaBbej1ZPHY9wo1oPaXPXD22vF49MARePSb+ZT0hbV89BVtaPTsoRT17wT89qb08PeXvSz2FS1E9qi5QPRpGWj2+lXE9rLNbPcvETT3Z0jA9hawrPWAPIz2wiyE9DwAhPazNKz2hAjI9crstPZd0Rz3+eUg97wVFPVWNRT1/wEY9Y+lgPSVwaz11glo9Yi1gPWJjSj0BpE49nTF4PTiegz1i5249qalSPasHRz0zqkk9HnxWPW2fiD2len09x+RJParuRT18ylE9evVSPeYHVz1LiIA9ugx0PWSzhj3rrS4+hpEbPirHqT0xC7g98UvHPSi/AT5HTSw+nWMvPuN1MD4CJTI+5MgkPneZJD64Uiw+kdcePqBEHz5ZfCA+QZ0jPj9xHT4tVRw+kvoRPkpNBT7iWRY+Q6ggPshLJD52cCc+TdMJPr/GGD6ZJhw+iOwZPtXfEz7WOAU+3f4PPhPrKT5AJCg+DRJUPvr6TT73/DY+TTgSPmwRJD4/Gxo+BGEZPpaONz5UsEA+90lePihufz53lG4+1+WIPmj/cj7eMDQ+StQtPl4BiT51bYM+ki5YPgKeLD65cyY+W0E0PuXyIz7dezk+r+ZPPtljRD7OoDQ+9OAyPtX1Oj5yhTg+QLZMPgwJQT4eQig+QwUPPnX/MD5bnUU+CckvPpbZNj5POEA+WoAgPtrUIT5+NEw+JNJLPoz7Jz7Oah0+VyImPhZ+Hz6FaSA+zyozPlBhWj7Fo20+wN1JPgnjOj40zjY+58c6PuTpPD7IGSo+B8YrPi0BGT7sF0E+ud9aPhObMD6QzCU+LH05Pn7XND7f2kI+bsNQPlw/QT57ETE+W54lPuZjHz5Qm/g9cVEDPu0rKD70OSs+jMMlPhKGNz4EJDg+1eJCPnOIUD64fj4+wSg1PlyNLj5EEC0+PW8vPg5yKj6SHS0+t/QuPi4iHD5s3R0+zjBDPiHmSz5Mrj4+wC09PtoBST4JmTg+1UYwPmKmMT7iwA4+fQUxPhzwRj6x7Wc+JwhcPrMGTT4NAzM+Nf0nPhEzUT7c2j4+HngoPm2UKD6LdzA+mQ03PrxTNz4UVzA+OdgaPpbaJD5bhi4+9Lw+Pt3eUD7K8kM+OSMxPt4OWT68Um8+mRlDPjO+DD76wS8+OvU+PuYAOj6d6S8+oIsvPnKaTD4Y+3I+NaujPnGiqD5p1b0+OmpePsedSD4Y82c+oZpsPh2tcz4ai04+Rcw0Pr3knT4S06s+MhNpPqKXSz69Yj4++fJMPkeCPj5tiz4+1Z4rPjsyJT5u0Fk+i/E8PqJOBT6XGQo+GyIYPh3MDz5miQs+c3gcPpUAHz7RrS0+t9YsPnuQHz4Kfx8+9H0bPhqlIz7XOxU++LtiPiv83z6Cnao+8HMuPgSjDD4pcCY+PkQxPtNrUD4DqUs+lq8+PnRdKj63Ux4+rbIWPs5IKT5JPTc+dO8+PhT9ID6kq04+lmeWPgr6hT5H0iA+kN4cPp7tFz7dIgg+Vp00PgYiED5y6SM+mflHPiBXuD7kHgE/wMuEPhMWVj5cEkg+BIlPPvedTz5jYUo+UDVfPuZbQz5Upzc+r+QzPv1/LT4kujw+HAbLPSVKzD2X+Ac+7asGPrW49D0PYcw9eRapPQXilj03IIY9IQGCPYP8ZD3iA249na9jPf4Dbj1Md309uxiAPZJGdz2n1H09Cr94PXXiZj3QqGo9KYpVPTjBZD1Y+ps9dPiZPUPFfj1Aknk9p8hYPV7YXj19ZF89rG9mPdf5Uz1qxG89p3aQPd2jlT2RCJs94OeIPbUviD3m5Yk9usqZPU2zlD1G/6o91iu4PXJIsD1sZ6A9RQWGPfOrhj1fRpY9sL2pPflDnj10TJ09xeChPXEWlj0WB5M98puRPWgJgj2NmH89bqOLPQbVjj16jYs9cWaMPQhyhD2k/nw9LbaKPWNQjT0n6349rgaEPbcqjj0iHoA9DIOAPQ4mkT1Aso09E36JPWw4hT3cD4U9wIqePVXlsz1lQJ49NHCKPXk9iD1nuIk9FweNPV7KjT3GCZE9FR6GPcARhj1IAoI9aV6QPakMnT2vAJY9zD6KPVo3gz1E4Hk9UE12PUyYgT3hcoY93l+NPVs3lT1OYqQ9CAWkPV1okT3vI4o99YRjPbUJTj2z7Vo9vXZwPXMwej0SiYA9toZePY+caT1uMYw9e/CHPXfNdD2djno9c+eEPdpMiT2b/I09CP+XPSmUkz1cqn09GIt1PQjxiT3Tl2090fdyPbwMcz3kems9H2V1PeU3cD3QzVk9lTxfPX1dUz2+8GI94/BaPd/Ncj3lkIA9yet+PU0PeT3Yf3g9tAN8PZ0CgD37ZX49kiuCPSupeT1FAIA9mUuGPZHvgT05gIU9Vud4Pc9qZD19xHY9L4qGPbyTiT1Pz3o9QzVsPV7afD0T0H89eYNmPad2XD2I/m09hLN7PbN0aj0/P109ACZlPT7wYj0CdWg9PSp1PXTqcT2e0XI9TbyJPYHtkT0yr4g9H5iMPZBIkj2wVI09M+eEPfHFgT2xPYA9yTt0PSMLfD26U3s9dm13PUv8gj2f7Yg9GvaCPf2kiD2Y15U9/7eTPYAuhj18Hn892aWGPUf0ij19zJI9LsGBPbH9fz3RS4Y9h76XPWzPjT2lR5Q95B2XPcD1mT0aaZk9xH2YPUJJnT2zipA9m8qMPTMMij2proU9vmWLPa6ylT0hB5A9gY+KPcEolD32dJM9bxSPPUb9nj1nDKU9SNmkPaPFoD2Zk6M94LGoPVZEoz095589D/mpPekgnT1lfpA9Yq2aPdMBoD3Nvqc9+nOePSSonz3x/qs9JoKuPSsHpT2Z3609GAeuPSzDsD3N7KY9py2oPUoeoj1NX5k9X6qTPZfelT2VHJs9QzmdPZP5nz1Q77M981KwPdcjxj3Ner89PJesPdoJrT0YXrI9oz2rPTd9rz1w6LQ9s7KrPdLvtj1/c7Q9WAWoPX7LrT2Zx6s9JP6gPVnynj3Ap649QwCwPVTQpj3hcqY9CNS6PWnosj0zUKw9/PmxPbMMvT0rM7I9tq2uPbjTrD2jPqs9vAyuPfpcsT2w0qw99CqtPWzWnz2+/Kk9TK6sPe+0xj3nruU9QzXJPZbiuj0Iaa498xGpPeEapT03YLI9E8exPa7Fuz2rnrU9PtG6PULcrD2jjKI9JqKaPRGNlz3/n5o9TDSoPcLmuT1A7q89paioPSNVqT3FLaM9CjmsPTYnoD1bPp092IipPSC/rT0LZLM9Uk+hPUPpmT1qbI49Ng2LPaY3jj0T6Y4916WKPa+giz1ECIc9QMl9PVkbhz1Y+Ik9Z4CBPaJggz0WCIU9WoCKPQX3pD2JHqc99y+WPZm8lD3vtpU95/KaPTPnnz0QaKE967qXPRuHkj3EOJY96IyXPbVgmj0IUI89WxWCPW5cgz3nIHw9AyCGPUXugT1nbII97NaQPVUzmD0DO5g992+dPb/Xnz1mF5Y9vK+NPeThiT3Ys409ml6YPermmj3sb6Q9QaqdPYkYjj0AFI09rvOLPWrjiT0hXYs9Sx2QPVFWjT1EnI09guaNPSBTiD3yzHg9DqN9PRm7hT3SJ5U9RpiKPcy9gD1iKoU9zcKPPV6Nmj2C54o9M+Z6PYm6bz3fFWI9OjdQPWngSj04hVQ9l+5rPVBVUT3iDk49Y/ZaPcc0bT1ow2g9xr9wPSISaz2w9lw9cZg4PXLINT2fcz89S5xDPZ8LTz338k4905BMPUuiUT3AM0890nJKPW5aNz33VB094fIcPc84IT0+USQ9UKkmPQdsLj3HP0w96YlCPf6cPD0Ldz49mh5MPe03ST3gTFc9o7pWPQOlQj3pS0c9815gPW3SaT3qyXo9Tq2DPWnkhz07wW09/7hqPfLo3z0zTxo+2yQePmH1bD74mR0+cc2xPZwjhD0IYEg9CcBFPTGETj1/JlE9J1NfPTLXaj3R6X89chuHPe6CUD13n0M9QzsgPR5OPz2UlYo9OeoBPsFQMT4MXik+PZoePgBtKj5BaCU+wkUlPrDaIj5pHx4+nPIYPiypCj4kVgo+VFwUPjB9CD4YWRo+2kcZPiKzEj7OvBc+90IKPlxeED5AdhQ+qhESPtlzFT5juBY+sM4tPlUsST5ATDs+p9BAPp8AUz4ifkE+Ixk0PukRdz6+r0Q+mywxPq3CPT57tSY+vjhOPvccTj60mUY+/MBmPsgPgz5SUHs+GxFoPpqzhD78nY0+Be1nPnZiSj5rF1E+yTBMPrLEOT7iQjU+MNk6PtX8Tj4Gqi8+Pho5PtlWNz4+RSo+bm4rPgXZLD4tFj4+Fw1hPjysXj6lU1o+G2VDPqHiVT5twEc+p+4bPsAsHj4oMig+X3gbPvkdGj5TWB0+bEgrPsDKJj6+iSk+MtRQPpZmfj4oSlU+j9cbPlhPMT4Rkk4+uB8/PonGOD5G4iI+Oz0wPtBFHz7rcDY+KkAoPmX/Hz67zx4+dzAgPnbcND41XE8+HPFZPnR6PT50cSw+rLoxPhHbQj5tmUw+vRA9PhmNKz44rjc+3OM0PolSKz4rBjo+RTdMPhqGQT7fMTI+h7M2PnqZQT5aekM+1IU3Pr5OMz5zsT8+6k9GPrNXPz6JOz0+d4JEPn5KTz77yEM+UDo1PijEUD7aY1E+y7A+Pvh3Pj7SUjg+rOo0Pv+uQD4wy1A+XaZKPlwHTD7KnDU+ee40PvygST6MCkM+aPMxPoEtOT78hj4+CAoyPoLSKT7fTFA+RohEPviwQT4L/DU+2KQ4PvvOJT7gUQk+bFchPiZwKz7YbDA+Igw1Pka9Jj7isSE+7okuPkA3Jz4hqh4+8Q0sPsmCQD4GqFo+THWmPpPTrj79xFU+EwNEPnpiRT6o8G0+oBNLPmyQOD7rHEU+m3k9PtySXD479p8+DBO3PmvfhD7gOUU+j61DPkiGNT5aIEA+dXMsPvfTKj5xdSo+OL8XPkpHLj51wyc+68InPiNKLT5pMy8+OEMhPpFaKz5vPyY+TIckPoq4KD7AbBw+32cdPsBWLD6xSBo+OyBGPh8thD7t6ns+uy9BPknvLj7L6GQ+Rs1+PtnYej4h/YE+euiGPiy3Nz59lTI+hX0tPiWWKz6ib0A+4IQ+PnFiMj59wzM+l7SMPu4Bsz48Qzk+S7U7PiekGj5oZi4+RW5LPk9rKT4uyTw+8xhmPuahvD4IsLU+X69YPp5xXD6yQko+88Q6PoRgLz5KxjU+ZR5lPllSTz5S8jM+XcNTPm8TOj5vAzg+Wqq9PXpZzD291u09YJbnPXpFzD3tM709ZZSoPSahgT3Q9nk9Fs1nPX6scz37WIY98lKDPRu/hT3d4Io9nul4Pf7pVj2xgUo95K9XPTDwZz1t8nA93zN6PXymkD3GO6Y9+dRgPaV/XD0olH09H8p3PWSsYD2z9ls9FOJcPZhKYz0UQHo94L2OPSxGkT32ypE9czSHPYaZfj0vjHY9N8+JPQidnT3e5Lk9N8+yPUwErD32JrY9G4SpPSWvkz3SU5Q9n92IPTXYjT0IeZc9iRenPS4Clj0tC4A9E5aCPeI5hz1vaIY99veAPe0qkj14MKE9wESXPXntkz0LXZA9C5GHPY5bhT2Rio49rxWLPUH2kz1ispc94RuJPfezhT0oI4g9Kv+TPTNxmj1Vv5g9s+CoPSsHmT0KLoU9VyKDPUY4kD1EQok9YvV1PSBAgz2bbY09ujSJPSxNkT0jPJo9mdOgPXyfoT02/Y89ykaFPSPhhT04v4E9tJGFPXFNkj23IZQ9N+ORPRoCiz1PUYQ9GVuEPXG/gD1Uv2A9THNNPWuYcT24b3M9yBxhPf5sYT3Nz2g9trNpPVxmhD0QM489NP+DPTFtgz3mJYs9SnyJPX4Nhj06tnw90QF4Pblrbz2EC2o9srFyPUipdT2JiXI9v7dxPc0+aD0Zj209aFhrPeVjWT3CGGQ94P1yPe3+cT0WBXg9lIZuPWY4ZT0mJGY9WBl5PU7shz2EboM9TTOHPbp/hz0NpX89bzhlPcy1bT2jZn89PNJvPeIsgj0zWIo9avx+PeIQdD0SXpQ9b+WDPUTgZD3olHE9L9F6PTU+hD1PJIU9pcR4PZFkZD31sFw9NsRpPanCej0T3W49MvBdPey4VT2FaFw9naByPYvrgj3RJYM9l7eOPQUYjD0nFYQ9l9+APX9vhD0SrIA9mleJPRK3kT3ACYo90piCPbbSgz0wS389oXOIPUEziT2Ouoc9nPOOPffRjz1RXY49P3WXPSr9mj13R449MoSIPT8GjD3KUIs932OCPaH5gz3yBZA9WZuPPYIuiz0Sn4091DyPPSuCij0+Zo894V2OPSWHjD11T4Y9z/aKPZAlgT1rmXc99Rl+PVmsjj2QcJQ9afyFPR6+hD0ooYg9kqmWPVZsmz0C7ZA93wuFPZEDkD3pCp49e+eUPSaajz3DGJA9eECaPRgKmT1gXI89GOiJPTTljD0WS5c9nJyVPQ0roD02gao9umuwPS2VsT3Xdaw9HG+hPZ4anT0ItJ49OnaqPXitnD2LC6U9HTmkPfsfoD3q0Zs9G++gPWdQoD0Mi7Q99sqzPSbhtT32orc9PIKvPYqErD2xmqg9b+qyPeBNvj0gh7c9l2mlPe3Ipj3XH6g9H+2qPUsXpD0OY6w90YmtPa2RsD1O6qs905KpPbvAnz3GAps9q9KqPQT7qD0WEak9g2qqPWOSpT3HLqc99VO1PWM1sj3k0LM9jDCtPfRrrD2Mdq497fS4Pf1Xvj1bt8M9FE2xPeIXqz0jorM96hqtPU1Yrj2g5sI9vLC8PQW/sz3qcLY9rIuwPeZWsj2dFrM9El6iPSkImT0RXJA9yRSXPYItlj2czJ89PGaoPUHOuT22hr09WxqxPV9cqz1vLaI99q2iPURenz05p6M9Xn6kPXepmz2IiJg9642TPeT4jT0V54M9RIR+PWfSgT0wB3E9tAZ4PS//fj3pwG097ldsPVtJgj3uWZQ9YiOQPS6SjD0cdYw9h7GWPYukkT1hqYE9GJl7PQ9YhT2VIpY9+Q+kPY6ppj0tiKQ9N4ydPeBZjD3x5Iw9+72JPaCliD0ME409zAOFPfvxij34CJM9lOKSPUkojj1H9o896nCPPdqSnz3Psps9DyaKPXDNhz3S/oE98HiKPTd9mT0+Ho49mVOCPZzsdT3EMYE9OR16PRFxgj1j4IM94cKNPXm3nz0S6Zs9HfuRPaUwhD2CKm49eOhgPfPcXT0ZAoE9Mkl6Pf39ej22oZE9zMGKPQuBgz1qM449mzWRPZNBgj1Phm09KrNXPWUiSj0ZCmo9UmeDPdBcUT1Qj1I94QBfPTKoWz1QRGU9PottPdR9dD0hW309gTllPYZRWT24gFY9kPxLPUkETT3MQ1g90ddoPbJmYT0qpUQ9gO5APcX5ND24lig9y/UqPVSmIz2eQRc9pWI0PeMMPj3urjU9a+VDPXsDSz0FfEc9p0ZBPR6iQz3UiEQ9BrtlPd7xZz3z/mQ9sfxjPdlnXj3ZF2c97BxsPRPUfT2IMZU9HkOWPRLAjj1TwYE9AH6IPbictj1eLt89F460PQB9tD2aboY9EepHPVSpQT372C097sMoPTW8KD2mXkE9B3xTPbT9Yj2GvG49RlZaPbLbQD2AYjA9rtwyPVrnIT1RYBU9SqhZPdqQDD7kECc+1z1DPtREJj54RB8+ZOAdPuy2FD4S4Bg+TYUPPlEoCD7GcQo+SjETPijnFT6qLRs+BQUUPhIGHj6y4xc+vzITPj7oFT591BQ+yakbPh+fJj7ghyI+NGQoPrdvRT79ZC4+4K9LPh0JVz6k6jw+dPVBPnPknz44i4c+sytOPiDPVT4yvSk+Z0JNPtFrNj6po0I+0VhJPgWzUz6xGFE+XwxCPrODQz604lI+ti9VPquLTT7XgmA+sg1MPnHYLj7zTzo+HmpZPojMTj7E+0M+ga5JPo3uOj4l6SE+vVc5Ps6jOD4YwlA+irhLPsQkQz5vjoQ+oB5oPhJFLD5LZjU+cSwlPoYnGD5MlCI+CBwwPgxHMD4Giz8+RhhUPjG8Qz61ij4+x01FPlkMNj4Ejyk+4NMePqYsNz6chzU+dVw4Pl9tKz5oeDg+4Q07PmndLj69CTQ+flEnPk7oIz72VBg+37cUPgXBLj41yj8+bMwpPu3PHT5+nyk+eNYvPmdEST4fB1k+BIZDPhG2QT4Q1To+wTYxPgQkKj550C8+yOVAPo0rND4m2z0+EoY4PjmRMz4An1o+m+RNPjKiSD4KmkY+8o46PvtmPT43Njk+VZksPnkQMD71tE4+WGdJPhNFTj4TWEQ+BJNFPoFWTj7moT0+uOk2Prq/Lj7pgS0++fhFPgy3Tj7sDy8+HT5BPoEwYz7P/Ec+KcVWPlLYSj6KNk4+AxpZPkwYSj4j4ys+crktPt1zHz6VPxU+x10cPumjAT7LGfI9FbkEPrj2GD7+gik+7ctLPrZERz74hSo+ZbouPj0xKz7p4yc+TFcXPlBqLD5YNkQ+Rq9CPjoTTz7uikU++KlDPhs4LT44iEg+ycMzPolUJT4nxjA+WaIsPleKMD7RrTQ++stKPkrlRz4eVjY+7RIzPmNLHT5oCBw+3rAiPn1lIj5LyRI+mdQYPnT/Jj63DCI+WW4iPq2wLT4YLC0+8ZsZPnNXHD4Pyig+NRo6PlezMD4EkQ4+KCI5PpwCOj7YoyM+DI8ePrz6QD7thSs+BkInPkgYgD4+A6Y+rouIPvjTST4UGzQ+5BGXPo4yij7M10I+3vM0PtHzTz5brjo+BB0vPrKgIz6zzkc+/mxlPqX4TT4NACY+swwpPq6QHD4kchk+WWk7Pne0QD5AnSM+6pUZPgacLD649zQ+crlePhxadT6YrEY+gfk7PqABQD6pv0E+AVtSPtK6Tj6/bk0+RdBHPubINj5ZBzk+OKoDPsTu8j07z+I9Nz+3Pf5woD2m44c9EO9mPe9UXz3cilU944NrPbTngz3nPoA9IAqEPeNxhj3lBI89g3RiPaESQj1XME490JtQPQFUbj2qeXI9oYdvPfP2fD2kYGw9zh1SPUNtXD3Y7GI9CSZgPXDwZz2ubk49HcNkPavwgT3kkIw9Wq+QPXaylz0FzpU9Xf14PfgSeT1SvYw9n+mSPWSpkz1iFZI9PMCYPU+CpD0zS6c99KuWPbEdgT03gYQ9BKuGPWgAhD1wRZI9/RePPbMngT2ug4A9o4OAPXybiz2ofJU9i+WYPf5/nz39x4w9zU2BPXPJiT0v+oU9TmSIPYH/lT34apE9qsiWPQz2nz05D5c9EQaQPQnyhj0OyJo9C9iePVWWoT3jIJU9f4yIPYM3hj2xm4s9GkeWPRPapT3JlKo9s6CHPQO6gj2ykok9MwuWPTpdoj34sZk9dQuMPamEkz0pTZA9nXyYPUGnkz0MEIs9GPuLPUrfgz26jog9lmmDPRnUYz01soA9XkeEPSfKiD0iA4o9aqJ+PSsCeT2hUXA90VZqPdMEcj2TB3M9C8JsPQZkhT2b2349rNKFPds/jD0Tj4s9EV6EPYuXdz2SUoU9056HPaljlD0hpIE9RptuPeOSdD2902s9SH1zPQ4RcT2CdVg9ssBoPZKEcD3vF2M9maplPeNHXD3yC1Y9mZhbPQT1cz0FtII9WPOPPRxmhj0fVHk9ws1/PQcbiT32DI095pyDPVgSZD3Vyl49dKdwPTQVez1f4IU9Ef1+PRT9cT3Vb2w9tYR7PcGBjD3u+ZA9LQCPPaN3iT2WOoE9Dj5qPXICbj3292o9t3d1PRAgYT1t/EI9PBlsPU1kaj3v8GI9lwNuPdWSfT16XGg9YiZ6PfQhiT07NoI9i0Z3PeAwkj1RPoo9eKuHPep7hD2ICYE9uHOKPe+giT1epXc9BfV1PaGWgj1SkYo9WyCFPduFjT29kJU9MjObPfJ1nT2oSJc9oM2NPWA7hj1xvHo95w93PTofgj0sVYQ9iSB/PeeCgT0QUIU99+mOPb3KkT2F0Ic96bh5PWVuez3hE4E9wVaHPW/JiD1El4s9mwiTPXe6lD1K44w9VKZ4Pa0UiD3VVpE9l0OcPY6clz20C5E9RkmUPealhT1KMpA9xuKQPUQLiz2P/Ik9jnmWPeLJnT0OJpM9CfaRPb5Yij3GupI94MmjPesTrT369rc9zES9PX2MxT1sT7c943q4PTw8sj0xD7E96nSsPZiMqz0C/qo9tkqsPcTMsj252a49H8amPSw5pz3LoLY9UEC8PTbIuz2OCrM9+n+oPT1noj2zhpc9dxOfPU2ttT2g/Kc9JN6lPfUMtD2bea89WJyzPfThoz2VfrU9adu3PVZpsT2f86c9dcymPUYcpT1mZrE9VHayPRG7rj04zqQ9l+SjPYFknz2kGJw9WUKsPWBjvT3bDr49Lly0Pbo9vT19wrE9pgajPSQArT3bDsg90Wy2PWdqvz3uJ849MTe8PYp5rj2YoLA9xfGkPXZOnj02N549hiqnPeYsqD0U06495oijPXm+kz2ZPZY9Z76ePUIitD02Jbc9CkGrPU37qz1k96U9/3acPZgsnT23lpE9N7yaPX/Wnz2WhKE9u4ecPRgbnT1e2oU9RwOJPcbDgT2okYE9HnaAPSNygT0dSnQ9xHduPTNDdT0B4o09AgmiPbGflT3a3409yTGKPSAohT3p5YQ9/cOFPUFkiT1Tgok9d+2PPR27lj0/xaA91y2pPQpOoD3n6Zg9HMmKPXYThT0jyYc9yYGbPVyPjz0U8Io9WyOTPRE6kT3K4Y499HSHPa0IlT1clpc9ZtaVPawImD3X1ZU9j8uQPc3OjD1Xips9h6KZPR/xmT0bsoU9T9NyPeimcj1nEXE9uGuGPefklT2EEp49MM6VPXsBpD1tc6A973qEPdMSbT0oJGw9QPxuPWmveT2YfYw9jC+FPYx0eT15IoA9u1J0PQCCfD1vvZQ9z4iNPSx8YD1RCk49XkxQPYrLVj1fnlE9OWRPPWSlND10T0w9JwWAPbgBfj3swHI9gpZVPXQIXD0IPVk92P9aPeiUXD0N82g9OrFtPZ6uaj1UQoU9FS52PaE4Xj15bzM9BfkyPX2KND04YS09Ok86PXSfQz0UPTA9klEwPZ9mRz02yj89VK8tPUcFOT18sUw9VCZrPZhlaT1QCm89LxFiPeNsZz2cK4k96XWVPSQshj23SXI9/7B/PWk9hj2C7Ic9aHSJPZkSbT0UhG09aUJpPW0sXT1qG049BHBMPQGRSD1SETs9lfM8PTzcPD2o5is9e60rPWtxMT01AkY957pLPdLYQT0T1zc9HuIuPew3Mj1uwCs9wn4QPUVO8DziWPA8MK7bPL+P6TyPhGI9jSccPnk0MD7vjQk+6CDXPR6i8D1iog0+XoUNPtC7CT5aOBU+wsgVPlBXEj511g8+VvkNPm2bIj6gFh8+qyoVPs6iFz7n3iU+FeAuPpCGIz7yUhU+qL0UPkGSKz403DI+H7lUPoopRD7d8kY+tCtGPqgYgz5wEp0+iMWWPjjebz5GUi4+WY04PgaELj77KTA+mRMzPthTKz5yHy8+euY2PuK+Nj7Qt0U+aJ8xPmQgPT7Rz1A+VFcoPqfEFD7lrT8++CxcPpCZOj6+Zj4+fQ5IPm56UT4NcFU+lPBTPqrRNz42kkQ+ZVhKPg65Jz4qgkA+eRgwPgxNIz6m9Tw+KeYzPjatHz7DN1I+jXppPolFVD4NuD8+G0A4PhvNKD7a/kU+rZRFPuAPSz7QYkg+/PFCPm7lMj7Ua0U+4Lo8PgikND6YQTQ+S0IrPtaWID4KiTE+YXIzPp+nJz5asRo+k2kJPmxOED5oLig+obssPmwAIz6Mkh8+vU01PhpqMD5Ivh4+uuMyPkIlQD5wECY+c8szPqVVSj6agEY+ThVBPig8Mj5ofz4+YrY9PlPdRD67lFc+ffc7PosgNz4qGDk+eVVCPvHPPj7oqTQ+aVAdPpm9GD4JkjU+1iQ8PoxOST4eKVI+OOY4Pkt4Kz7NRiw+e4M3PopKKD41Ihg+wd9VPlMNQz5aNTc+ePhePiQfaz6vbEI+ke1SPh/uVj5uXjc+Zy9aPi3liT6v7Tg+q34/Ps0YKz7y0i0+dmgrPvj6Hj4xbiM+suUgPi4FPD6psDo+kyg5PgxEPz60vj0+OdlBPsrMQD7/jzQ+gpgqPqQsTz6os0w+/Q4+Ph3pOT54iDc+aUhPPomJKD55+jI+41wlPvLkID56yCs+a6svPqHoMT51diM+nh8zPnBrGj74BjI+FAQqPnoYHz7pRCQ+MPEkPoU4Lz7O7jU+VxMnPixSND7p+mU+5NdtPpzoVz52lkY+O6w1PkGKJj5J2j0+Q4QoPuFyET5EFw0+mSJEPjgHPj47ZEE+c2BZPn2aLT7tDkU+NtU/PoAiOT6F7Eo+g0opPog1FT70nxk+/1EwPrmMPj4Ra2E+f7M0PspPNT7gxzo+AVwyPqUcPT7nFDM+zk8fPtCTDj5MhBg+iE8jPt3LJz42CSM+T9VJPpSPUz4hrjQ+ekYWPupaOz5xYk4+CklnPggWZj7oKEE+KA5OPvhqSj5I6Us+OisqPqOnFT5BD0I+QshaPkE1PT5f7kY+TLOuPW0Zwz2Cx7Q9E9ypPdUOiz3T1Wg9jWRxPYjRaD3xXmA9D79fPXGdkT2j5KE9t/x8Pey9Yj2qN2c9UkRQPUPyTT1Vo1g9/hpkPSR9bj1DnnM9C6KBPYxZcT1lfWY95hllPe07ZD1aC2k9ZLpoPYewUT0PkUU9025MPZ+9ZD00Mnk9C6aLPUEmlz0/FZ09zxeOPX0vhD2mjYo9qZ2LPWm9ij0bQHw9OueGPYqilj2FiJk9E7WOPd2KjD0nYps9bs2aPZ75jj36hpU9vzeSPfbHjj201409olaOPSrwmz0GO5M9du2RPVMBjD3IdJI9+leaPcpXlT0WaJg99LufPe8HpD20/5Q9rCeMPVrugz17X449nKmgPfRfqz0rrcE9L0mzPRNtoD2DsZg9+tGVPfZ2kj3wRJM9cB+UPVumkD0UQ4U9yUCKPVDskD2PAZQ9nPGMPT/bij0JrYo99DWWPY25mz3tKpo9JgyFPVmbiT2DL5M9mByFPfr5fz25m4g9ZEeCPfMxgD3hoog91J6WPcYjkD1BdJc9F5OLPT4Nej0szoQ9vsWVPTcGhD17OnM9qeuKPcESiT16CH09Vx9iPTxobj1yz4Q9PsmFPelrhD20dYw9tDmLPXu4lD0xhoY9rfVpPbqcbT08ZXg9BwVkPdEZVD1d6kk9ucNfPaswZj3oyl09B+1pPU5+bD322m89i49tPaiXZT2UWHk9KV5zPTomgz1qdHY9emiLPS2ogT1WL3Y9I1uDPSKGaj0/GHY9xlp6PSpPaj3F9G49tOl6PfF5jT0cQZ09hP2WPZdmgz0xw3g9Vlh5PTmlaz2ZrmQ9FLllPYLsbT1ZwHk9ytdlPedJZT2Ni1I9ZhBbPdSJcj2cBYQ9qpt+PbX2dT37/Xs9IUeDPcrAjD1wnYY9eXeKPdNgkz2juoI9OFxxPWi2gz33sIA9pPKDPY8ygT27V4s9wcWDPbwxiz0zRZw9z5qOPXstjT1TYJY9DSGYPVpPij2YP4E91YSFPfURfT1wG4I9uCqQPV07mD2PqZE9BMyKPaQOiT0CRYg9xO2LPYrZjT3akoQ9H52KPfDlkD25vY09jcCOPQFyjz1FmYk9PXiSPfXImz0kipk9uBKVPXS3hD0Z1oU9UXiGPVS7jT310ZU9QIGOPcs7gj0OhIg9i5mOPRt1ez1PA4Q9M8yTPccmkD1KL5E9qwSXPccppj1g56g9xW+iPYzAnz0Lh509C7mjPYmWqT1/abU99L6mPTPxqT3il689kZmsPYLBnT09Pas9E5W2PbgfuT1kVLA9RZCmPRcUsz3dCrg9tmOtPcydmz2HrZQ9NOqOPb3TkD0f0Zo9YZCjPWp8rD3kRLA9uz6pPfULpD03Bqw93LeuPS4Lqj1n/6o9T12ePae3pD2iAaU9UiOlPaG5qT0zbro93w23PRpitj15MKw9ngqqPXupqz2Jva09/u2lPSlCrz0nor89C/y6PQSetT24N789KUS7Pf3cwj270MI9ByzFPXnJtT0qn8k9hDO2PcE+tD0qYLA9WZ2ZPQtnkT1l55Q9NEuyPY91oj1weJ49l8aaPeqQkD1hup49B07CPaPZyD2SyaM9RaqJPVuNjT0xzI89GBaTPUc3mT0pjJQ9G2uiPXv+rz30I6o9QtaNPb0LjD2ozpQ9oD6NPXJjej3FsoM9KTGDPXcddj1TCXo9RLd8Pf9Sjz3I5aE93UKTPRlxhD16pYI9kbWJPSEsiz2oqo49feaSPVGAkD0BeKc9QTmePTUFmT2D/5s9y2yWPdSOlT006oQ9lj+BPUU/gD2TQoQ9GniGPc11iz3pu4Q9qPx+PbpXjz0PqJg9qkCMPbd+jz3luIA9mo6KPb1onD2kTp499OGlPZu3mj32wYs9efaEPSXzgz0td4s9ulmJPWRMjj006oo9FQiRPdzUjz1GuYw9cHeXPSR8jT04aoE9v3duPUxbdD3BDng9vYV6PchIbz03zXM9GWh7PVIMeT19e4Y9g2aMPQ38iD1xB3U9uAZSPSrOVD05HFg9cIxIPUnGQT1WcVA9SkVGPflHSj2jMUs9oSBXPXSSTj2fKEk9ietXPUJtVT0V/F09Iu1aPVzkXj0zNnc9ipx/Pb5Bcz2nDHE9E3NhPV0qQD3Y7Tg9HINGPQokPz2JZTw9eMFAPbFnPj1y7T49mLA7PfP7OT1PWDY9NTAyPW6eRz2KZ2w9z1dqPU89gD3ryHM9WkFpPeccdj0T8Ic9h4GJPTzGgD2ozmc9ISxtPQ8gbj0V42A96FlhPUMJVD0m8Vk9IDNdPRDHUz2tR1Y9JSFnPTdBWj2e1k49NkpEPSpnPz0ELUo9KFpWPQT2ST3Sv0k9fC9KPbLZSz1ncTY99bslPSm8HT1HZQI9sFrlPN0O8TzlDAc9+Xy2PLsivDzXh7o8PU/BPFdkAj1W/kE9mA0/PSnCSD0K0Zw9jYsmPla+KT75xyw+lv4qPv32Hz6v9Rw+aUwePlSbIj4XcSc+Qr0kPn7FHD4XCSI+kw4vPttqID6tih0+k2oIPu5vID7cuVU+Z9hBPi06ND64AlY+zzhrPkgoiD5+06A+HGpzPkOzLT5Lnyk+DK8lPthBJz4KVh4+hCwqPvdVKD707i0+KhA6PvL7Vj7cSU4+3HIaPhWsMz7Hz1o+cCo9Pqb1Ej6MtBY+xcI2PvGMQz4R3Es+sS5DPj3nPT56UDw+M65WPhRyPj6cqyU+6nArPkqgJz5slho+q5YiPrGnJD5a9yM+lZtOPoQGWT5/iS4+aAAvPvPIHz7n1Rg+A7IfPnPxJj6w6i4+Ne8jPhjCRj4Ep2s+VypTPns4Mj6xo04+qLhHPvVDNj4BMC0+7pojPu80Lj4r0SQ+W6crPrZxID7Opho+clkhPk1lJT76Gz4+I8QrPsQLNz6gC00+KKdAPtTBPD46Jxk+83EhPnp3QD4kjig+NyonPq9gKz6aCTc+tuFMPjuzND5pWjo+ImBCPgigRT53KTw+iCovPoNmNz78cVY+0rc+Pu8DSz6NW00+vW4ePmalLj7MvzQ+AN8xPmuIMj6as0k+kig7PgvoOD7Y8jI+AB5CPhcVMT5xOB0+TnkuPhDHMT7kNzY+MZNRPhNgYT6glHQ+FOqXPgXTYj5lszY+4swwPtfNPj633UU+aB5iPr/eOT4R/zc+B0RLPkJTiz6JyV8+8Aw/Pm2xTD6yu2o+EmJVPu9iPz526zg+6z0xPi3bMD451DU+tPZGPjD6XT4XIUU+TdgmPiL7Pj4QclM+v+M9PnJgJD68oSQ+YW8pPm1sJT7KSDA+chs4PhhiMD4Q2B8+52klPlXlFj4HYxU+/r0uPkUOKj5Vtkg+fBkzPpvOOT4+Fi8+4xolPrwGMD63G1w+DO9oPrulSj6Mj0g+TT48PjPwND7hbBo+1WcrPne5Kj7SIyU+q5kEPgP4CT76O4Y+sKSWPqjrHj5RFC0+iXIqPkXhHT6cvyw+IUQnPsAvKj5kZyc+VzIgPod3Hj4zoxQ+6h8SPl1GGj7CQj4+fbw3Ply3Lz5vEBk+u7UTPkNvFD7O3g0+BNQaPpBVMj4a+0Y+AupHPnpkVD6aIEw+EPtFPmo5Uj6d4Wc+zxBfPrTrWT75kVg+aMpPPvnmRz4AdUs+POlMPuykUz51+kM+7fs6PkNzIz6puiE+YO+mPef8sj2BWq09KfKFPQdZQj3GvFQ9/upKPabmQj3qHmE97t59PRcEcT0hqII9y0KAPahYgD0gqYE9pbVyPbOKWT2xqVU9yMdVPd8JST30FUs9R26CPcFbhD1H4nA9LQRqPbZ2aj2NK1I9pSZGPTPLYT1aWnA9AmhxPfcHaj0rn149ZKlyPVGUgT1t4pI9tZCePSIImT1yWpQ9kryNPQKCiT1CUZA95q6OPT2Okz3aXKk9B+mqPZUwoj0nObY9hvi4PWwMnT2NQo09hlOfPQlDnT21LKE9Z0+mPW7vpD3HjqY95CqTPRGPkT2Vy4w99HSOPeRYoz1Zx5093Q+NPWCzgz0KuWk9JbSAPbigjD2rS5U9lKK0PUTXxT1fsM49RMexPY2toD1RtKs9rYuxPd5aqj0N9ZY9arWNPdBxhz24yZE92MWVPcbXkD1T04E9m26JPXkejD1toI89E2iWPaQXgT1A5og9DpiKPe81jz17kYU9Om+BPbs+gz0tkpY9BlGZPQQtkz0tyYg9BkyLPex1gz0g0G49kQlpPYeSgD3d+XY9LztyPdqwWz10Plk92QJtPah8aT0MFV09veZ1PRS3kD3yUpw9ArKPPdIHej23XX09/nhmPV4UaD2MM4E9m3OAPUnlaT0Lk2o97UNzPbetcT2e+nA93slsPWBubz3smW49SJZ6PUq4fj0N14A9QL10PaNHZj0lE2A9HGVoPWeWaT0003U9Bep9PRp2gT0W+IY9xX12PcDdXT2zBGM9FVd2Pb8hgj1nhYs9pDGHPcXykT1krIc96DuJPZ4EiT2pxX09cRd0PYRDfD2/SVs9Vt1UPU52Xj0nTmA9eYp1PR9TZT28iWs9p8xuPTFKaT3GGYI9h86CPTCObz3kD2E9vAt8PZpnjz1ff5s9oliHPYXigT3t/Wo96sFxPafZcD0/P3E9jL9xPYWujD3wLZA9NCCVPQAqjD0wnIw9aJOJPeFfiz1f7Is9DhWQPfirhT08roQ9NkWCPfKdgz3wgIM9kvmGPY+Ehz0Fh4g9TDGKPR4Ilz0zzJU96p2NPSw0lz2HO5A9RZuKPbU5jj2NrI49mY+RPcJ0kD2EFIQ97EyKPWcrkz26vog9hyN1PURtcz0+DIU9g2uPPVo6iD0yxJ095NqZPRpVjz1ivog9YN+FPbN3iT3glZU9UHqdPXutnT26V5k9fEKnPXYtrD3SU6E9oYeYPU5+lz04wpY9enOjPUI/pz1uZKI9KYGvPX0ptD1Saag9YWycPV+Joz2Ft6o9fruyPSPxrz1VU6M99jqSPSstnD2/cp89dEKiPfxzoD2NUpo9On2gPQCDnD1ZxaA9Ew6iPf5+pT0XT6098OGZPX5ylz1qe6I9pFq4PalkqT2OwaY9DAqgPfKypT0umqk9DHWyPcoJsj3d36A9eu+mPavJsD22waU9GSCqPTvbsD0RWas9E3mnPQe2rT08das9y0WoPSXqqT1aTas9iB23PacgzD3VjL09MzezPQXEuj2YY7g9SW6vPb1amT1BJJo9cg6cPaSukT3b4Y49wj6aPfFzmT1JzZk9OtSZPaO5lj1cipk9trOtPRxInj39NI09SqeGPSOuhz3uLow9zXKAPaNPdj2ZFpU9Vm6qPWzOnz3xvJM92PyIPaWUhj2/Gog9VFeNPSANhD03vIA9+ZCDPVTdiD2h6Ys9lcyMPY0gkD3WopA9OyGJPfyWjj3wZJU9K5KTPYQeoj2YmJo9jJiSPfwalz2mxpo933mRPcVllz0XpJo9j0+SPbCyeT3z9oQ9n+ORPVNYhj3bgY495kuRPR1UkT1UPJg9eRSZPftFlz0/0JE9UEKFPRbZjj3r85M9NPePPVdKkT0qW5A9G+yGPXWdjj1t5o492PSGPdAMgz2qyII9yA2JPWNEqD02+Zk9iEaXPfOqqj26PaU9Zu+JPXIVhT2G4oQ9xAN5PRPzaz0PWYA9rr+KPSfzfz0qCoE9vpuQPTwoiz2xq449CMeKPZwkej0oDGI9HjdNPdGaPj0Dq0c9VWFLPb+OSj2+rlM9KRlePYXCZT2eBWs9gyZoPd7ZZT3PHnE9+EFzPSkPfT09D3o9pX51Pcu6bz2uWWA9xOhlPUGlWj0PE1U9JU1SPSdlYT0eonQ9avh0PbDiaz3/OVk9RilDPeVOPT26Xzo9qX8+PTKTPj05JDM98ZJCPbMwTT1Y92I9SRBxPWXegD1RDWk9p2NUPWywbT0rt3Q9dAlfPWR9UD1LSUU9V8JbPfFAYj1TH3I9i0ByPbqecj1nZmU9hPZRPZAOYz0my149wqViPWIvVD2NKE4996xSPfnWTz35yk892yNYPevITD0slFw9bYJVPTDBPj2niyY9O5n6PDokwjx8I8w8oo7nPC4WEj3BXxo9aey+PMLurzwDSac8EGuaPPswojzRaMw8TOXcPKFyDD0liQw9YujyPQLiRz5Igzg+4dMqPuZSKT5Xgh4+Z2sUPtED1z1PsBY+2NkjPjBbKj560DA+dl8yPsSuPz49gEY+G0tCPps0NT41rU4+qXdaPicDgD7oI5g+8tCbPtjElD6jfKI+3+1gPkyHKj662C0+ST0hPtuiJj5D9iY+uaEwPhrqMz5eaCs+P8oqPtMYSD4K0z4+S0ofPoXQKz5QYEE+hK0zPif8Ij4OUxU+fLQlPmXlPz7j5Do+Q0lSPjp0Sz6JQzA+5nUtPtLdKT5E9iQ++B4rPrWqKj4MAiI+r0goPrQgLT6s2C8+M5k2PtGzVD57lUc+sCQXPs+PID5AsRo+YOgoPs3eKj4z+iQ+6nE6PtRGUT40flI+sJJrPhiERD6Irys+p/wlPqGePj70TVY+jQ4+PpvlRT5Gq0A+VP8sPnEVWT4xf1g+YppcPu6vcj71/VQ+uU1DPgOLQj7IUz8+JpA8PnTSQT4xfS0+ymAtPtMCLj6xdys+f8U9PkOxND5B5UM+oGZ2Pr8lRj69PCE+3AglPiY4JD5CiCM+EDUxPkRISD7NF2A+gag9PsozPD6qCyw+FqshPpLBIT4eICc+4ZIqPpOHLT4AiVw+19hQPhM+LD6wRzE+7eo0PlLgRT60knQ+hq5nPnPrIj7lJx4+A5I9Ps+GNT5bIXM+LHChPpj+Wj67IzA+2Y0kPrhbKT4gKjM+qy1TPprFWz4WlEQ+xptUPtuwaz4PwWk+6PaYPvzBXj5+N28+PsFGPtfkQT4+9Ts+bLgyPiLzTj4Cukg+Y/A6PuILST7akzI+eL8sPhU5KD5McjM+uOoxPrmbJD7pSCA+fjIoPjXZLj5LiSk+knMyPrRCLD4V7CQ+cYY2Pv56LT4xcR0+y6YlPldbID6VNik+iucvPkEXLT5IvTs+NeYqPm0VMD7VLCk+uV0qPvwZNj4PGz4+IlsyPsLZRT5x4jk+NyYsPrFQLT7e0ig+rcMoPi26LT619zc+OlxCPiDkMT7ePzE+o9owPi2BMT68Bzg+AzEuPi3cLj4abS8+SAYWPhJ4JD7OcCc+s0oXPpewLT5UIzg+C8wrPi49LD6qJSs+MXoZPiNAGD6A0h0+JSwuPjgKRz6J/FA+yW5CPg/8MD7g40E+cfpLPgdWPT7gplc+V51rPhNFZT54+WM+8ORKPpoOMj5qpC4+CU4vPp2ONT5vYSA+uOAhPqXUMT7eDD0+vrqaPRpMij0NGX89ZDRcPb2pTT1tMlA9ZfxPPUFRXD2X92Y9c3hnPZuEUj0i4Fc97KuAPdAwgD1KWnM9aMVsPUZSaj3M1lQ9FYQ8PdpzWz3ADmM9vDZzPfeHhj3IlIc9uj98PcBSfj1WZ3Q96kNsPUdiZz2cFmg9xhhoPd0+Vj16WFg9iDRvPY1nfD2yEHk9Dx6MPW5qoT0Y65E9VKWPPdDskD23l509gKqePSSMnj16TbE9ztWpPT3GoT0lL5g9GcekPZq9qz1Uk5c9INedPencoT3gSrI9cAiyPS/AoD0yBKg9QB6aPQUElD1dVJI9/faNPSHhij2zrYs998+KPbS0gz0B7oQ91kaDPQRqkz0CubI9QPXUPVjH5T3xMrk9gF+rPaWdsD2Eq649h8ahPeSjlT0KCY497maQPV+tjj2Mk4c9NGl9PRwrfj2PE3c910uBPepGdz06enw9OeB+PVjFgD1PPY49OauLPdJIkj1Hq4U9S7iDPavomz0BVKk9YI6wPYQhmT1cxII9JldlPaYfbz0bgWw9lZ99PRCMhD210Hs98O6OPT3RiD00tWU9uF90PWtHaj0qy209gDWJPdVDjz1u0Hs9MrphPR85ZT0U33A9yO6APZSQfT0eiXk9lQ54Pfp3bj1mAmw9MQt+PRlOej2zpFI9IJ5NPQ4idj2TJZc9OtWOPZ8sZz2eBGI98OVQPYRPXz0rU1Y9a7ZYPZRBfT3Geng9z/h4PRW2YD14ync9ak2BPayRbD3eNnI9hrWEPTP2iT3lL4Q9jCCCPVc0ij16qY096ONyPbWEaj3P1W89L9dkPdDRZD0dMmU98GhkPdIgdD3zNW09n/VqPZNUaj2/FV89iituPUsDZj0ZAVg9bsprPTA5bz2hFnQ9eBpwPQ0bfD2HhoE9zBqAPftpgj1wKWw9PFVyPdToeD0+XoI9G7yBPfPBiz3u44o9ePKIPZ4XgD0Manc9LGqBPboYjz3LYI09X2eIPalchz2Q2I49tUaQPfSNkz1+8ZA9yquOPQzulT1UdpA9KaOSPXI4mj0jS5c9zUKSPdnVjD2LWIU9CsGNPeAtij3sBIg96jaMPSIJjj3Mr4Y95nSAPdivfT3ylYk9boaJPcg2mD1eH5M9ezWHPU1VhD0GJpI9h6yMPduXjD034ZI9PPySPbXqmT24j5k9TOWKPf7Viz0PvJ89cROfPYJflj0/wp498oeNPeFHlD2V/JQ9+CmcPQQbpT0k46Q9LNG4PXnvqz10TaY9md+bPdtOoT0UPKQ9IuCXPR7Snj1N96g9tNOfPae8nT3fKqA9weWqPYevrT0TN6Y9fEGlPUCGsj1AJ6g9RPmfPb3jlj1frpc9InWdPd+cpD1O7LE9SjW8PUSypD0xIaU96j6iPULmnz1Cep4904SlPdf+pD2Pl6c9JtW7PSz7tD1ru7Q9a1KtPcJXpz20hqM9kJ+nPeTxrT3ubKM9wFOoPVANsD2HVrg9HTqrPZseqj10kKY960GTPQ9Lmz0xWps9Cf2cPbCWkD0ELpU99ZSVPRvOlj2pZJ09woqXPdR5pj1/u589Si6qPcnCqD0EaZY9HUKDPUlYbT0qoWY9PVloPWbHaD2Ppm49L+V9PXMghT1J4ps9Gt+bPfeAhD34wnI9yTBxPWcTfz0/6oY9XqGMPQy3kT2q74s9voqFPd5/iz1ma409JJ2PPcZ7iz15tY09nu2OPWgCnD2k2aI9lRikPVsakj3QAoI9OrSGPfQPiT3PU449KNqHPTjYez11EYs936aJPe3eiz3TmIw9rlyXPVV8pz0KKJ495smiPbmrqD1yMpE99ImVPWwmiD3PMX49sFt9PXcWgz0VoYQ9bjWSPbgQnj3/m5Y9lwyOPVb9lD2WBJk9LXGUPW+oij385JE9PLWVPWQDoj2ELJw9cQKVPaKtlT22op09dkOWPSRBkz13B5I9xyeMPSYrhT3JQIQ9fK2JPdK5hj1eA4E96u2IPcvBjj0i1og9l4qJPXRvej1qlGo9J81fPSrpVT1AIEs9kFdLPb/VVT39pmE9ZxtoPTZFgD13Dow9hiSFPWsqgT3nwXA9ql1gPUj4az0IymE9KrBbPSvIWD3VxU09uC1kPY9KXj23rEw9VdhbPexYaj2EaXs9jcV5PUK6Vz306EU9Rbc/PUyXMj0u9DQ9iss+PbwRPD2h1zw9XAtdPXWqYT2blDw9kWE4PeaoSz0WiUs9MxtNPWDfXD0/wWc9RVFxPdJJVT1YuFg9NuNmPUhvdT2YgGY99idlPSXAWz33X0k9CFVGPY6PUj0dSmM9BTBlPXEgVD15xE49SeY+PXJsOz2vzzY91AU5PTzdHj1lggg99JX7PE+V2Twgy7g8nSXGPOG/xDxTBrk8WbeoPGrRrzwKZLo8gry/PMcEpDy+uqg8djCjPLIqoDxq/qE8uiniPPEFIj1j2x49J3IwPVFx0D1chVo+HmU6Pq8qIz4Ejiw+fZ/5Pc5Q4z1CzRw+CcotPgrXLj4UtDA+/WYzPhrYNz6d9k0+6IBHPtD4JT5G31A+cjBsPoZ6XT4Wyp0+I0uZPnm6SD4LgDo+c0ouPibVNz70rzg+o1k6Pr56Ij49/CA+RqglPne/Ij7cxTI+JEcuPixKPD7YWTk+HGolPjzAKz6mODU+jCxEPjoUNT6BRSM+NahEPivEPj5dSDE+FZ5YPlWyYD7QOUs+jnozPnpZKj5dYhs+g94jPsnQHD40BDI+0YZfPqIFRz4YcCE+GKk6PrtEND5VTCo+1wszPrzIKj7KpVM+7QuOPm0Khj487Uw+4AJsPhKkdD7zW1E+XS9nPjj4ZD5mfCw+tP0nPlMzLD4UcDQ+/Ew2PtIyMj4jwE8+lwNMPkbHYT6m23I+S5RsPl89Yz5Ct1g+vdtAPopGNT6mojQ+L7U7Pje2Mz6H0jw+RTkhPg+/Hj5eGy8+nxY9PiPiRz6dX2U+kDVHPm+sGT4Qux8+6ykyPkX8Mj6zXjQ+5W1BPmdLPz5kNVU+3gguPgHyHz5WtSs+H7osPqZ4Nz6+8U4+6kI9PuYONT6w3TI+IpIsPnvKND43HDc+FMJWPulldD4qFUk+jg8qPqIRHj5u2xk+LAQyPlqSMj6zW0I+YBJWPsMMVT6XXyI+B/E0PuCzQT4YFjg+GqBQPqSygj5O5UI+lsoVPqkpQT7ugUs+7F1/Pn9YXj7jQT8+aD5GPkAbHj74rhw+xjAyPrdxRD4ZUjw+e084PgtNJj5WUyE+K0QoPqITIz6fbS0+aA4ePo3DGT7WZy4+3zIxPmecPT5g+S4+c+UmPor8KT5TBiA+kDMqPp0kNT6CJh4+naUcPnJXJj6tRik+9Jg3PsI9Kj6TyDU+Djs0Pq+gKD7x3yU+LHEoPupeMz64nTs+vwY1Ptw8NT6GwDM+ps45PoXULj4fCzM+bfE1PuUBTD7dwTQ+0cEePgQAID4E4CU+imIxPi/nID5jYiA+ucMqPr/MLj6nyjc+f1EzPuyjHD4Oni4+0REtPt+uJj6AKRQ+gMwrPlP4VD557kY+rXIjPqTjKT6wtUA+71tYPlvtJT7gxD4+nWdDPh8mRD7YPDw+c9E5PkcUQT7UP08+0KlUPsTsWD7UkSE+4FoqPotUdz75e14+rVcqPiUcQT6IPi8+ZdFEPm8/Pj54bTk+v051PdAZdT0IJH49301zPQ/iST1y3j09v/ZZPcyJWz2v70w9JMRQPfy+Yj10hmY9k9tiPWi4az0gTX09H15jPcHKOD2jmDM9VQYwPQH2Xz1tCJQ9qa6PPcw3hT04jIY9+k13PX3haz2XTHY9pO9uPcy9VT2D1Ec9O2NPPTOUVD3gSFE9t8xoPTa4ej2UpYE950uGPduOhj0P+4U9zJiWPZwKrT2I+8M9XFS3Pbs/rz2EJLM9FRS5PfU/rD0tfrc9gPepPWxYkT1zU5U9+SqzPZXIuj22lMM9I5a2Paetnz3nYZg9/AOFPcyPhD3OYpc9SHKWPdCPgT1kOIs9OO6cPTf6lT28wJI9MxidPXvirT0BM8U9/4XGPRPy1j3IUL49TRusPYekjz0To4k9hD2UPcFLkT3pNIo9jhZ8PQ/cij1aJo89YTOFPe7ecj2b43Q90ACGPfXggD1BZXE9qKl9PUUqiz3HpYM97qZvPXwDfj1CGpg9gECpPRKBmT3Ih6I9wsqfPTldiD0FMHo9q9GCPQhdhz0G3Yo9F3KHPRvGhD3Md4Y9MK6MPfRdkj0yhJA9Le6IPQA9ej3XZnk9v7CHPVbDgD2Mco492G5/PdJKaT1XOXw9EHSBPclEhz1sa4o9NJqKPZuFij3sxn09dFuHPbaDdz03J2U9pBlsPTNnfz2v4XM9D8dYPSnhZT1U/3U98k11PSgjjT2nEI09RLeAPYn8hj15jHU9RNlkPWyIWD0LiHI9vOqCPU7kaT1eyH89mzyPPYCygj1QV4c9m2uLPQz1kz2fho09kJxzPSu7aT3TrF49vbRfPQM8Wz32TWw90ut6PalvdT0omG09YepTPbI/YD1E32I9XTZiPcGQYT0nO209F1B6PY1afz2LhHI9mPBzPaFSdj2AG3w9oul4PX7ihz1b6YA91oVyPYLkdz32r3g92biHPdxFiD19ooI9HmJ0PQN/gT2AC4g9PpqHPbJ4hz1pOog9HfqIPUzThT1Zd5I99+2kPfRgmz3D8pQ9jmSRPTo8lD2rYI89KgCSPRZBkz34wYQ9706CPRNYhj07IIQ9daOAPWDAlT3AUZM96aOGPRELlD3L4JY9GDCUPZX+hj2o44E99z2LPapHkj2+A5M9F7uKPXHsjj3fUZc9mfCXPSRMmD0ch5A9p/GNPe5xkj1p2JY9UD6qPUJfnT0J55g9xHaSPZ5Tjj0Vpoc9pMiePSKroD2sfpw95lGbPU0vpj0rLag9t163PXDZqT3zKKI9d3OkPa0knT2r9Z09ULytPVvxmD3SA5o9xf6aPQftmz2q+KU95eauPcKgsj07xaA9RQ+mPdFAqz0pmKY9QTOnPa1bqT0g9Zs9TvOoPaXwtj3ki6Q9XRWbPQZKnj26i609MJ+jPfQOoT2aIp89akelPY6CsT2dHLQ9bvCrPZfdqj13VLI9km6uPX0Foz2DCas9OeOrPY42uj2+Qr89n6muPS3Xrj1eLrE9BeWpPaghnz3kspA98wiUPck1nj0lFJs9pt2YPXv1mD3SKJo9SfadPQpXnT217qs9nMiyPXihrT2dRp89g72lPUwSkT0R+XY9a8toPZaVYT1LwHE9BfZ4Pebuhz21TY09t8mDPc/oej0dyWs90rBsPaQpcj1NzG49U9ZyPWHwej3tI4c9Yl+aPQXfnj3IH6A9mg+VPZtbjz0Baok9K+SLPW2nkj3heZw9H1WUPT+jiz0UGYs9GO+JPSjPgz1Oc4c980GOPQijjT3MU409R2CLPcSNgD1ZipE90/6fPR8DnT2q1I8908aePV68pD0+NZc9nS6QPXN3jj0+74U9JfqLPW2NjT3m8389E2B7PQ4Tgz2QT4k9YUWOPbdrmD09ZZ09eGCdPYGClz2wG6Y9YEWpPeeepj0KoJI91b6FPbt/hz1NtYw9xc+UPbhbkT2gspQ9NvCNPfwQiD0aPYs95juIPcjqjj22LYw9hYKIPTIpiD3gRX892BiIPUbejj0MxH49yvxxPY5dbj0MZ2c9mz5VPXePWT2v1U89/KBQPQVdcz05Dnc9RHiDPb1BjD05loI91JJhPVr/XD0WDV49qkpLPeMkRT38dEA9vU9UPdzuYj3j/2U9f6hbPR3PXD0q9Wo9TAtrPS7DZz29kFw9Ru1hPfNLVj0pt009mhNPPWRcQz3k4T49wFdHPZhuVz0h+FE9uoA2PRQfJD3qsCc94Uk3PbaCQz340ls9dK1hPfmMZT0S0HA9ijRxPZ8Mbj0K9Fs9cchMPbL0SD25p0891w9kPVZqUj0EIUo94ilqPfaQdD32vXE9++FhPek0VT2SoUo9lY81PbnrLT01+Rc9szHyPO0n1jyrqLg8mr66PL60tDzw3bw8rBC5PNXryjw1f8A8ZtGjPJsZpjz6p6w8y5qdPDvFpTzCFsU815HIPFE4uDxm7748uQmvPHQw6jye9xs99PcqPZiMZj0uFSQ+ad13Ph2CST7CbT0+4wYoPt6NLD5MOCU+fbkpPl7ZMj63qCc+eKUnPhGWIj48WhI+9FwzPiN2Rz6M2FQ+FeNkPpobej5lT3E+t9NGPpfJMD73Bi8+yxIvPl9wKj5Xkjs+8lEyPjrMJj6pgCE+CoIpPv7kNT460TE+5qwtPkTvPD6kxkA+taAYPv63JD5Yr0A+yF01Pn1mMT6oLjM+SxQzPpizKj7z00g+zVFWPgQofj5ghj4+CUcqPuvhJT4MYyU+CPpCPvBdKz5/jyE+C1RBPtZGND4X9Cg+glwtPjboKz5GBDQ+uSBOPod9Rz5oxX8+vRm2PkyznD6ipj4+5gAgPqrEOj7kXVc+IIRQPn1yRT6z4EA+ZrY1Ps7jMj6m7TQ+bzAlPnYLKz6YwC0+8W1QPgcMXT4/ZHk+ltWqPsdFgD6PJEg+TDg1PmqjPj6R/k0++4VMPuFpQz69vDc+ZcQePti9ID5ySEI+l79DPr7FKj5oQCU+uXQoPiKvHT5msCk+4JsuPnUcOT6kBUA+eDUtPkTUKT60gDg+VEozPjMGPj4pkzY+h5U6PggaRT7lUkw+jpcnPiJbHz5AZBs+Paw7PvLdPD57Qi4+L7FDPgBIPz5GvB0+2UQlPma8Jj4ftf09w/I3PsgxSz7uMVQ+CktfPiD1iT5xYUE+rBVGPnNhQD4KKEo+CuRCPpmUVD5ZujY+KWggPsaWSD5jrjc+zKVBPvxfSj4P6Ds+1CpSPr0VND6asS4+3hlBPnx/UT4yjjQ+33kxPtL6KD6V7yk+McggPhEcND7GTyo+7hcXPn4yIz676Ck+TOQZPv5jIz7fISo+9ZkvPoasLz5OFSY+38MjPrABLj7kZS0+c3owPn51Kz577B4+ym9CPtC5QD6AyCw+NCBBPlDKVT7iREY+Q1U9PidWTT5eIVw+Ox8tPuW7IT6pei8+Qxw2PsSBHT6yWx4+iIojPvlsNT5I5yQ+kqQYPpPGED5SiR4+RTQcPolbFD4zlCI+klgkPqftMz53bC4+aWlBPigiID7ujCM+EpwWPpHULT640Rk+dusmPpDEQj5xIjs+zMgtPrq/NT6cTTo+oKZQPnGgMz4clD8+KQdKPsCcQD766DM+XPosPgYeST77704+IJVVPi1uRz6qnkg+4L9LPj9yQz7mdzM+4gg8Pu80Vj41+i8+wLxCPuTWOT4B/ig+rfOcPaGSlD0YU4U9V31UPcLyPD0+LC89xz9LPfK8Uz0QJEo9RCpRPTNqYj1f1Gc9gx54PY24az14YW49pup3PdIeOj0Tvj89B1ZVPVDpcT0ahnc9z39sPYaBWz3JElg9hXlNPa08Tz33pXY9pwKCPd8bfD0Iqmw9TgtnPS8yUD3SgFI9My50PRftkD3RC409X0ttPTqFbD3yOXg9EQaGPbxGiD3rmrY9szHHPeFuvT0tdc89aTvSPZdJsT0bJJs9Y2igPVxInT1cXbg94yjAPQRhoD1bd6Q996CgPYnhjD25VYc9bPeNPbk/lD27HKI9zgOTPeFRkz0NpZo9m8awPS6ZpD1jgZA9vkugPfeqtT3h1bI9t+ylPR1IpT2LcKU9le6PPRDKiD1C+Y497vabPRqDjj3+3X09kaR/PWtyiT1nG4o9wt2CPdLEij0L1Y09ME6JPSaPfj09zm49ayyEPfC1iD1pB4Q9jiOFPZkljz1Q6JE9BEWFPSCdfz2iqX89UNiJPaNKjT2ezpk93X+nPQy+lz0kPIY9OVmIPV0Nmj3r9Jc9wh2ePTfalz0KTIA9AtV7PQFbgT0W/IE9K/p9PUUIgj2ROYk9KrqDPbkjbj3yhXo9zgaGPSvUeT2QL309/YWNPdWwiz19v4I9Z/t7Pf/8bj2d7Wk9lSt2PeH/cj2Fr2o9mwhhPcASfD3fEIs9YOSNPULQjD3xA5Y99YOWPX61fj3Wenk9wYt2Pbq8YD2lAGo9zpFnPdG2dj1okn89Qrd5PR2pgT1WE4U96K2MPWVdgz1yh3M9p2NmPVIkdD08tn09+Q92PSNlcj2GCmc9xzNtPcPXdT2zUHg9cllfPZXOYD3jxm89ZaaEPSWyhD31/IA9l52BPXX5bT22ZGk9dFV2PaSkgT3ys389ytiFPeHZfT0ign89DRiBPS7ggz2xyIk9hoSMPS5Cgz2M5YA9r6BzPYoghz0Zp4o9aqeFPbtMhD2lzYs9exmJPa3Tkz3p8aQ9hAGXPX1MjD2UG4A9aVV6PbolhD17kYk9yD6TPfiKkD2ltY89FXKNPVoGhz1U1Yg97bSKPZYdhT01/4s9hfOGPeedjz3b1oQ9eQyFPVTjhT3TA489BhuOPTEekT1MXpE9B2uUPXEanj1iZaI9P9ebPaZihT3r5IM9+fGNPWJZjz0vwpo9OO6VPa4Ukj0XfIw9bWGQPYrskT0hHZo9hj+nPQi3oD2zV6Y9EsypPfoAnT22npY9rqiTPXLxmD37q6Q9MFObPV4Voz17Qqg95qukPeihqT0EwKQ9dJWnPcLUpz2udrM9qHetPXE1sD1XFq89SRqxPbHFqz0x7rQ9XlmsPf2Rmj0WLZs9jaWePdkAoj1vwak9KAS1PVimpj3ZO5Y9ZqiSPXdppz2Ui6w9wYmaPf81mT3OKpU9pvegPemHrz1aUqA93XmrPVwGtD3h5a49xzq3PdPHxj20C749Qq63PdcVuD1PGa49ZtmnPZHnmD2AS5Q9xrGdPTN9lD0do489/2CSPdjcmj3GuKI9ye6qPU+buD26Mro9tpivPY6Loj22RpE9QdGLPabbcD2NhXQ9U9ZrPcoGZz0pNIA95TaGPeHgfj3EJ4A9qPxnPU0JYT2rjnY9ViuDPfsKiD1BU4I9tzyHPeHuiD1wzo496WWVPTdqnj0aYKk9jSKePSBwlT0/F5w992GWPbRGiT3W04E92OKIPVrhhj1vYYo9BFyFPRf/kj3oJ5g9xU+gPT08jD1uFY49z+yMPUuMiz0aWI89K32XPVTKmT2kWZA9DzOYPezTlj0Q6ZE9kAqOPZwAjz2NDY89U66UPbAnlj0BLIs9LQiEPQAAjj1I05g9zFOoPapYpD0f7549gDGdPXqNnT3hIqc901GlPV7+oj2+U5g9Vp2PPdBflj3hqpY9IY2UPU7AkT1fQYs94d6LPdcNhz11LJE9D4OOPR9Qhj0X44k9n3+QPT5Aiz3B4Yw9qVuJPZWpfT0D1oE9+Lp3PY+kZz3WklQ9GU9KPdqNVD0qr2M9/4NkPccbZj0rzmI91YdlPan3gD14CIo92J9xPXaKVD3O/F49P8NePZfiVj0HK0o9LD9PPXP5Rz3xmFQ93vBbPRoAWT2XFnI97J+CPS/tdT32QYo9dDebPRzbjz3YiF89AutZPRycRT2l2Tw9zCM9PdFtOD3Of0I9pYg1PU8LKz1yqSY9QWI6PTagRD2Kw0w9eIFtPc4scj01TnQ91WprPQZKUj0XflU9hjJdPdc1Sz1Uq1Y92qpjPVlScD2AI209XH9yPXVTez1TAmM9sghOPTkoQj3IJEA90kwsPRfvCT2CDcY8wjq8PB/3uDzI0Kw8F3WtPLLzszw7MrM8aC+2PCeUvDw9BKw80qKgPKUCrzw5h6g8bh+6POXAwTzOtsY8JfvRPN85yTxrOrU8/2GyPI9isjwgmc88JcAZPTDpIz0BO5Q9swFPPlVlXz5X7S4+tzUwPniVMT6mCjA+tRUxPjpoTz4POz4+stgxPm58Lz6yUA4+j2IhPiH5Rj5Lqig+0Ok0Ph3/Pz6I3Co+BS8kPtNCJj5PfSg+EuYtPkx8Lj5pzSI+EGsiPvurKj7BICw+6EwkPki5LD7U2SQ+nZ8pPlmMPj5OmUU+FxQhPmv7FD482iE+78YxPuF6TT5+lUU+FYg+PruoQT6FWls+G3lbPmNeVD6bhic+a3QJPusaFz7iSy8+h7FCPv62Kj6n6RI+QdwwPjR8MD4BMiQ+f44sPmM/Fj641zw+6P4tPvXIMT7hrC0+8nFRPh1ZVj7Ulyo+jV8lPohDJj76NCo+9ccqPsZnLD5YoSk+Iow1PmxfLj4CnS0+4tssPlF2Ij4MNC8+yNpVPj64kj5PGI0+cdNaPnsnRD4AHy8+Mt40PqEbPD6FrCo+eRZAPteqTz4/pzA+7LQiPmVqKT4F+C4+vhIlPlRAKj6h6h8+9W4uPrk7KT6jtis+BFMqPmmpJj4qBTI+1oA6PnKRSj6fc0Q+hKM7Pi63ND6p/yY+wP0qPminQT4vLzM+Bj8rPtGUCj5MDAI+uQwuPhAEQj4GSyk+8g8tPnJNMD5kfDA+/dk1PvHhIz7tzR0+Rzs8PlBGRz50NFk+vq1bPpBucj6cwV8+WFhFPv2uPT4UnjY+jJQ/PkuBVD4VQVg+lUVEPodTUT4GV00+Y5xIPu5qXj7SG4M+S8BqPt1CLz7U6TE+T5EuPvoWRT7lrFA+2gkxPv5+KT7ETyY+WvcaPiRgHj7TdSA+picnPurWJz4N3yk+XM4fPiRTKD5AR0I+YS1cPu04PT4kqjA+bH0cPvX0Gj6IPiI+s64dPuHQPz5LWTk+ZDZoPinqXD6H3i0+PF4tPlCwLT4Beig+1OQvPqsfhz5na2U+HvwuPvZbNT5xEkI+FDBEPhb5JT6blSA+tdMtPkmuHj6t2hE+ftwRPqcSHj7x5R4+xooJPjZmHj5ZCzI+bqIwPu5tID7iKBg+N/gdPgVIGD6JvxE+MngfPrCGHj5OKRY+zJAlPjLjLj48DTE+dq4oPiGOJj7PWzc+Mhg3PloMNT6re0Y+L1ZWPm4fQz5L/EA+CrM0PrTILj7xoi0+gj4qPgiMOj45FSM+294vPlOERj5p3WA+LDNnPvHSYT5rW0I+wGBDPmVOND7z4iw+gFyPPcNkXT1jZT09xQxBPX+IQT0wrzs9mcpOPUPiZj127ls924ZPPX3TZD143Ws9LilQPTxdOz0dKjY9+wRSPVE5Tz1gomA9MYlhPediUT0qkEI9OalVPdJ7XT2iFE09dqtlPTf4hT2D6IY9yc9wPei4bj3vaGE9YphBPU5sUz08SnE9aTp6PdZcfT3TA3o9JBF1PakSdj2oNmA9+bBQPTCmZD0uJJA9pq+nPeb1pz3sWqg9aFqgPYx7oz3+JbA9CWGtPT42tj3Mwaw9QheoPbH5pT1XxKM95VKhPTPwoD2NU6U97LSiPRkbnz3a0rE9fKyoPS8foj24SKM9FEWlPfNdnj1L6qA9twqSPdhzkj3y7po9/wu2PRu3rD0CKZk9f/qEPe+dkz0tZJM9R8aPPXV5iD2zCXQ9dSmAPQjjfj32A4g9afV9Pb96gz0gj4Y9Kz2LPbU+hD2iios99e2HPV9qiD3zWoc93KyCPX95bT1zOXo9TFV9Pa/+hT1yZp49XE2UPffrjT1af5I9qxGOPXy/jj1AIZo9NpyIPTCjgT2HVYk9d5eDPUrMjT2GG5E9d0+TPUrTnD0MOpo9SNiIPWkthz1DHIc90u+OPTYvkD2Lh4I9nNptPdzUeD3VhYE9UE57Pdnlgj1IGoE9hd2JPdADcD1jw2E99xB6Pe0Pgz3v5oM99fFmPapnbj07NYY9h4eKPYbmcD3E6l49/uNkPRiBYj0bc2A9zEVgPVF/gj3dX5I9zO+PPZPZkT3AnY89V3h4PQtAVD3l/2M9hdNvPfxegj3sHpM9R7OLPdqkez3VEms9b2FkPbgQXD2JxWM9r3JjPQe9eD1jb2490x1tPRmLXT0KvV49wxhaPSR7ez27OYA9T212PSUEXT2f5VI9AJtwPTYafz2ufoA911pyPcrgfD3b+ow92X+GPWX1gT1ApIU9dceAPbKagj0384o9pQqIPR2lgT17zII9E8mMPfX7iz0kko89n06PPU++hD2NDYk9AHyMPYudhT29Tok9ax6OPbYShz1dFYw9Hd+RPYVGkT19gI09buCMPbf2jj32FZU92MWTPamRkT1S/4o9u5OJPSzWkD1clog9RZSBPZx7hD12V4090giSPXAkmj35WZU9BI2NPYkSij0i1IQ94SCOPTR0lD0beJg9QeugPbVNlj3Gn5I9+OSSPWRiiD0fuY49uF2ZPWEHoT1FqZg9fEydPXUbnT3IaLE98JGkPfBknz0pz5Q9KTyXPSeJmT2LNJQ9WkmmPfiarT0PK7Y9xWmsPcnzoD2c+aI9MdWgPXI4oT38e6Q9CTaoPRudpT1WVa49fCWtPTiOpj3tApo91+aVPfF+qj2StbU9bk+xPSvxpD0cT6w9qWiuPfAJpD0LR5g90K+YPW+Kmz0c9aI97LCbPU4Fnj0Xg7Q9F5S2PRAAvT07Jro93AusPd3cuT2kN7M9J5CxPQWwtT1Vl7U9PGGtPfCcqj2tL6E9R8mMPTAUjT3C+ZQ9foqnPaj1pj1mO509Qk+uPZxXsT0wB609EIKzPfIitD1KMrQ9jdO2Pae7qz3Gloo9cvp5PYhAcz2KcXU9EH2LPZ3ghT12XYE9Q16QPW7RjD1okHw9OBNqPTywaT3G9no9uPuIPbTljD0wd4c9vlyGPaEciz2sg5A9coeUPRA/nj2cD5w9u2GaPUpcjD1ogoA9HFR6Pc/pij1sCJI9sUiQPdhLkD3ISZA9HwebPdixmT0AJ5g90beLPdU5gT2R7oU9h0qdPbKGoD2UeJQ9vaiaPcZnmT0UG4k9xqSBPRDvgj1jjYU99XuIPWmCnj33+509q6uePQhuqz2O5509mMqWPS7dlj2QSJc9rjWfPeTUoz2/QpQ9rYqXPbmClT2iPJg9JD2SPf2kgD0X14M95UaGPdVChj2HeIc9rfmLPUINkj0nTZU9/U6SPfIplT1VxZ89C2WTPZZRiz3eK409QVmUPTXYkD2yAY09pBh1PZ94ej372nE9h/JWPQN2UD0W0E490cJVPWtQez3MboE9Gud9Pc7TfT3C3YQ9eVqDPYMxbz3mg3k9HSBxPa6yXD3d/089eDdVPbYLTj0XQVo94DRWPbKzXz1AO3U9KIKDPaVhbz3sJ4E9WZ2GPcMlcz1pTYA9LYmPPdLHdT1owjI94hItPW8JKT2/fyM94jgvPeWLQj3CqjU9oho1PQg5Jz1tzSY9zUY7PQhiQD2Z4k099g9nPTqthT2PHHM9aHxpPeR1az3ZSYQ90M5xPQ1sYT1+i109qgldPbL4Vj1b6Wk9SGpvPRQmYT3pZkE9ZzM6PVLjID0y8x89YksOPSPwxTzOrrc8yYK5PFBVwzyDS688TxSuPLeRsTwDBLc8B22uPKQjszwooac8iXiuPL1ctjzqDKo8jgejPH3jwTyiHtY8YpzaPKaC2TzS2MI8Q/W7PIYmuTzjexw99LFtPfRSKD2k9lY9zIEUPlobaD6DQEU+WUs9Pt6HND72HSU+5w0wPtQMQT5KeiE+yEUrPlBzOj7t8hw+EncmPuUNPj7vKDM+tbIsPh28LT5z8DE+5hQzPjwvMD79+To+eZkpPlSLID7EXxw+GFQmPoQEKj4v8y8+WSgzPkzxOD7HbDY+Bo08Pku6PT7tRCI+O+4TPu2uCz4JByk+IhQjPmZ/MT7d8DM+qKFKPvdXWj4m3FI+uEhCPlb5MD6JXBs+3iYLPqLEKT4DtzU+WBgiPtRDHz57LBw+gCssPgOoPj6egzA+oFUJPuyJoD3sbOk9kxo5PiVtOT6J7x8+s/UgPiDdPD41WkU+Wt4sPnw5Kz7HDyQ+y8koPv5VKD6bxSQ+WcIzPpHtPD6TATY+OYk7PjZxQz6CKkU+na51Pg0FhD7IiUM+OEc5PtJ9Vj4XB0o+bp41PnlSGD74qhw+yFAhPkKUPj7dfD8+SW4yPleKOT4l0TY+dP4oPn5qKT5jxzI+CfopPouPMz4tfCw+fw0zPogzMz777Dk+IuY6Pl0tSz67qU8+rPtWPk0IQT6Odiw+cncjPoCsMD72VTk+OY83PhBBDj7flQk+VK8OPhnVLD5eDxU+RUMrPkbNTz79B14+SJs5PjkNOj6xtVg+IWk4PuRxKT5Rj0k+7n1GPhQ1Oj7NnTg+qQcxPuN3SD5PJDw+PQUuPqZ8NT6UjjM+DuQvPmG0Xj7ILnE+nqorPpfhIz7ceik+sQ5CPn3fTT7mjys+XWw7PoEaYz4SgDk+8U4qPozKJz5+CiE+nxIcPl9KHT6ZBic+sKYhPtbgHT6Bayo+R/g1Pl+rWT5G61o+ddUwPqykQz5JhE8+fTc3PqjOMT7qySs+yuYkPnZRMD5FXUU+ZBFPPqe1ID6u6js+8bpZPvzyPT6ORj4+WdwuPlH2Rz4bqyM+eAMePs0xGD5DJyA+b4wdPv4sKT5QBB8+sj8jPnM0HD5jlSI+A2svPjZvTT6Dyzo+qEwsPn4jKz7KOj8+Y9gpPuaGCz64SyE+GR4ePglGGj4xeDc+H0clPnjrGT5fMxE+mCcYPtuyJT6A1iE+oSgePtcEIT4QqB8+JxchPghXKz6kkDo+iqo8Ppbdaz4c70U+K7g9Pu4bQT4eqSY+NOg+PrVChD4ULYE+s/x3PiLVaD6TnlA+fCFCPsRuMj4jSTQ+WZImPmAeDj76nBo+WdYfPewhKD3EKSU9f5JKPYoiXj3fBFo9zHBMPYHkQT04vVw9Cbd1PWp1cD0orFQ9Lmw5PefPRD0auEM9Uik/PQQhOz3zPjI9Fww+Pab2Xz35xVs9ORhOPV7AbT3jz289cGJ/PeVliT1sCos9U5SBPbkHXj0ex1M9NmFUPe9tXz3/rH89bTuEPYUqgj0Temk9vhxsPZ7Oez3384c9WdlUPXyHWj11hJA9hcmZPR2xpj2ME6A9JaePPTUApT0BY8c9YnXDPdRFtD3vJKk9QSSzPSsztz0wb6w9IU2RPQUSoD0f9aU90R+qPSGxsD2S0689lBOgPZ5Lpz2u9Kg9szOfPXwmjT0jvpQ9yjCOPQADkT2ZyZY9PMuSPdGWhT1bnoM9SR6LPWEzkD2wF409TrKMPXkpaz28L3U9k794PYvqXT1VrEw9aVhzPaAoej2LlIM9xH+VPSgvrj2+iKE9mFSGPV1ifT16eXg9oXloPUYZfz1LSJc90RWTPcWdjT25gJM9vvaDPfhTdz00MYg9NdqNPSxAgj2lQXw9BDNxPf9VhD3wxpk9qBqgPZ/Emj3YRJ895yaJPWOmfD3veHs9422FPREenD0Hy5I9xiOIPVX/gT1bwHM9Z/hxPc4Rdj1ikoY92riHPfiDiz3aX4Y9WjuEPWz1fz26n4c9HVKNPYhhfT1CtH49BVVwPSmpWT2UgFk9Mr9XPdGHXj2Vxk09H1ZQPVWJZT0RsXE9n/6FPTPWlj3iVpg9hDqDPbFaez3mY4c90z9qPZ/0aD3vwWY9bpp3PRHSjz2crZE9tvhzPc34WT1NGk89TZdaPU/OaD09oXE9+xFfPaqrZD04D3Q9hXB/PQgrgz0qEoU9eAl5PcijeT0+SmU9fihqPZ4QXj0THWw9QtF6Pabebz0qzHY9ADt6PfxSfj1cwIA96uKFPWNZgz1Z/oc99tp1Pfcycj1orYQ9myWCPRBmgj0EPoU9XtWHPcbphj0mPoo9yW2BPTNKgD1jjoY9obGKPcVAgj3uVZE97D2UPfAnjT1mvpI9YWCPPY9skj1XjY09rBmMPYuvkT1A/I090iWIPdTjiD0KAo893nqJPXKjgj0fwn49NWyGPR1CjD3ncJY9XimdPWZfqT06gpU9muqRPTcIij2X5Is9K3GkPbDmvD1atbo9VBayPeE1pj1FXJE9o3CUPfdakT0gkJg9afuZPdKXmz1A96E9TwOgPcSLqD1m0Z496w2YPQ0xkj1WeJI90KeiPVIYrj1z86U96JinPeNeoT06cKM9TA6jPcuOkD2YTYs9AyCLPWnkjT2pRZY9H2uoPd7fqj0eQqk9JOGrPbi3qz2BXqU9h/2tPXZ0sT06jsI9CDenPUUinj3OUZg90vWnPdfloz3yS589q7KiPYlJrD0hdKE9KJ6wPR9xzz3Z8749DGKxPbA6vT2I7L49mCy4Pbeppz2okJ896VChPVE3tD0pxqk9rQmWPTsAlD2+8Jo9gUuaPTm7oD1A4KE9eDyiPaxApj0fAao9+AasPRXapT2l9qQ9bn2qPXZ7qj3hx6Y98QqWPQ8AdD0TNG89VZx0PTWIgz13/YY9T7iQPelYqD306rs9hZu1PWyIoj3G8ZU9VZeUPfg0hT0FZH895OB3Pfsjhj0jg4M9bHmLPZyEjD0CB5c9XXmUPYSMlz3j3Ic9kKGHPdMnhj2esXE9DFmAPejrhj17lZQ9btydPX80oT35CI09g6qRPUokkT1j4Ik92tGNPfMPmD1IDZ095NGaPeCwkD0NE5M9HUaaPWZGlT21Bp89UUKsPWGmnj3OrJU93KaVPb6ikz3GIpg9OGyTPS2Djz3TK5k9nN6nPYk3oT3uPJE9SoyFPfoWdz33oYQ9GRiHPQUojj1cw5E9+bSAPR/Fcj0bCX49h/mCPTjJhD0wyIU9D1OFPY2gij1XyZ49/LGbPSWjkD28dY499QeHPfxQkj1VV5E9O8OKPVUDeT1z2YM91+R4PYCfcz3FHnY9I/xYPeGvVj2r1HM9nYeDPQ0PlD2785M92aSVPTKQhD1N5oQ97BZrPd6EVT0eYFc9AVFJPUI0PT0SLkI9VTZLPclYUz3GHlA9nAxKPYk/Xz0kKW09LG5GPUwASz0m+lQ9ldpaPR7lUz3Vxm09q/l2PfVCaT2tMFI9GaQ4PRg7LT3+OTM9Mis7PdmBNz3+dig9w/EtPZMJMD1Pyik9c2E4PU41TT1uonU9bq53PfSUXz2kqHA9C1mJPa0Ugz2OEoY99JGMPb1+ZT2+iUU9aqo+PSX4Oz3aI0898H9fPQ97Xj0KF0k9hs8ZPRJn1TxpXt48yF7sPI1y1jywlLg8Z/vIPPRmuzzi4bU8xoq+PGbIqzxzN6I8c5a0PFE6szwTy6k8nuS6PDEQtjw6jKU81mKkPBsJvTxDhtE8DV7fPEua1zxVP8c83gHDPNfrrDzUtPo8bx4jPbMANT2unHs98E3BPXQlbj6l+WA+imA/PjOFLD5fFyI+RWogPiCUKD4nCCs+hF4oPq7IJT4x9iE+Q3UfPoeJLT4Omys+bUosPt7jMT7d8C0+pJAmPuuaLT58/T8+QEkwPiyRJT66vi0+x4MuPpxPKz5zBC8+qTUlPugdJz4aUTA+EQ8yPnZ5Nj4Wqyo+qPAOPhShBj5WvB0+RuQ0PlZfNz5gGj8+1PRTPrkpQT7rRSQ+a/4qPm17ND7+3B0+hU0wPmSfLT47Wyc+3eYcPsXUHj5AaCU+NAIzPsmbOD7PRSk+HHYAPoW5Jz2ADLo9IBgiPsXUJz7fay4++0ktPsJPLD6UrDQ+zqEwPpQoHz6grhk+GB4aPjW5Kz605S4+DvwuPo82OT6dzTw+Ju4mPqB+PT5KJlg+XnmLPmKHTz5jCiM+RHc6PmM1bT71B1M+v6UjPpv5IT4Ysig+vDsnPuEvKz6Y/lA+35tGPp/kRT77OTg+DHsYPpESMD5/3jc+36gzPqoEHT73IDA+1eM7PopQVT4ug2c+IeVDPl42Rj4uG10+661VPug2ST4KYEU+PpZBPimHJz6J7gw+ZZcSPoW7JT5Q+iM+KZYwPrGCUT5rKCs+goYnPiWRIT5HeyU+fXc9PqnTUD7TUUQ+ycosPniLMD5LzUI+XDpPPgNXUz4ymTo+5TErPhd6OD4HiTE+XYUgPotxMD7bfig+djAwPovmRD4Zgks+0LQwPjC/Oj48nG4+8aBcPhKTND67uR4+atU2PqirSj67tSA+LGIgPubsHT5s4SA+UKYkPsU/Mj7uLy4+mvIvPsvtLT4rDi0+zzYpPtw0MD45DEA+qQE5Pk3iJT6QGD4+bTA1PmjfIz5+ACA+XHgnPqrJMz4uCDQ+of4uPjf+Cj44oUM+DpxTPhOvMT6jMU8+FAgCPg6C+T1mAiM+B/0aPhv5Lz4nHzE+6wAtPllSDz6dpR0+2zQePt0TGT405hg+Z6knPmIQKD4HuxM+1TgWPnxSLD67aUk+lwo0PuPMGD5ymRc+YSYaPjtVJj7TCSk+JyUpPsIsKT58kSA+N8wmPvlbLD6jsB0+7BkoPnHLJT4dVSI+dlsePsaHHj5Fsiw+O5ktPj2IXj4pmU4+K1knPmWgID6ZiDw+Z9duPv3cUT7qGy0+trNaPlSfZj5OED8+XH5IPqcUTT5Aii8+MvAPPl3pHz4v4xU+x/8hPUYbMj3wD0A92eFWPSxXYT3veFo9ZplSPZ+2Xj1VLHo9j610PUEWXz09PUk9Wj08PT8/TD17/jM91MsbPbBKIj2I2jg96dNpPeyPZD0iRjw9nAtsPXotgD30xYQ9hat4PZxyYD3QDWc9HlR1PeTTYT119V497w19Pbg6cj23B4A9Um2EPdfKXz3hXWM9f1uGPUGoiD2f83Y9fe93PS0OkT1x+oE9u3NtPWSfmT1OuK09gR6wPRl5tD39l609UQ+vPdD5oD2JaKM9cKC6PeojsD3KCaQ9d7GaPXvbnz0OMrM9hDOnPQIRlT25Po89xRiQPTIMmD0+eKU98simPbLFqj1RMLE98cifPaEVmT3jVpw981KcPUKDmD2wNpI9PZuhPSDRnz16O549sqWWPb+Xij1FMn892gB2PT/9XT19sms9PtJ7PcUzez2DC449RBKKPZuYhj3xb4M9hRuEPT5fhD0zLY49yPqNPUFhmD1gaI89tANzPcEmbT1a8pA9B5uTPV87eT1jzGY98IFbPTqeaT1BzIY9YZqWPemMmT39Xpg9w36ZPdvylD0FcIw9fg+GPQFEkj04OpQ9VwGSPQeuhj2qAIs9g6qSPeA1lz3ifos9iqx9PT4fgD0EH4k9aiuVPe1ohT2K4m0925BuPWFSgj2eUps93lWoPfgsoD1+DZU9uTSbPe1iij0+om89buZePVCsYj0vnm09BfdxPWCkdD0Qy4A9jcqBPS6hYD00g1I908dQPb6DUj32RGk9Vm99PfUfbj3YhHU9zoOFPT+bdT1qNFk9uOtJPZ0XST0qz149MWuAPbxmgj3pqG09I/dbPeOQYj3KEYA91xl2PSvsaj3R0Gk9nC1YPYlaXz2kVnQ9zLaFPf1mjT23Nno9+t93PcVfeD2avnY9ag2BPVnzfj03Fnk9a9uBPVzBiD2JYoA99Ml2PczDiT3FNYA977t2Pe7OdT1s/Xw9cTOJPftciz1QVoU9gymNPflQij2yJoU96Md+PW3bdT1ol4E91xOKPTaghD0h+JA9WtaSPSO9iz0lSIM9I6aDPYfvgj3vGo09elaTPaUjkT3jBYc9MHSCPb9Pgj18QII9R3mAPQL9hj0UnpU9666oPUglqT1XjaY9swmQPRYukj0Ev6A9i5KzPY1Vsj0M26c9piWqPUknqj1ciaQ92bqkPb7zoz3euZo9cNagPWm9mD0KY489hjqGPS91ij0A9JM9oZyZPSCkqT2xx7A9qKGyPVg6rz1VAqM9XySfPcm5kD1kPYo9kIqQPao0kD1OAZQ9ZC+nPR2htz2tDKs9NfmgPbn0qj3z+rE9pPCtPUAHqj2vXsM9oGKoPWGIqD0GeJ89G9OdPYONnD0/uaQ9OrSsPVEywT04L6k9CoeoPVlSqz1jMqA9yueePVBbpj0/yK49RbXAPRg9vD2DnbM9OpSlPXmWqT2i8aw9LjOzPb8RtD3s8rc9bTmvPSnimj1pIZc9bQepPdS/oj2tM6I9fTm1Pd5txj3smr49lEq3PetLtT1dG6s9mYKdPQQPpz3dQp49MPRxPXVjYD3zUXo9Yb2TPemvlD1RGpU9yJObPW7+sz0zkqo9txyQPWHCiD3PzYk9OkF7PWzMgT1WDII98niBPbbqij15dI49dTWZPdRGpD0vyaQ9MK6XPex1iT38wI09tTJ+PV1JZj0mj3M9D7+CPR67gz3Rkos9W0yZPernlD3dCI09OwuRPU/lmj1xOZ09SnCaPcqtmj37QJI9heONPZGxhj03J4k9elOSPUtjkD13mYw9yYSJPY6fhz1F8YE9dZWKPTzxjD059os9IcyHPYdthj0fmZA92aqWPWQNkD2ko409W7yAPWZ1ez1yeXY9IrV7PZ6eiz3NyY89s2yFPVe0dD07oHI9zA5nPUtEdj3LeYc9D06KPblwkT0UKIs9t4OJPXLngD2b+4M9HYSSPW1jmD1qU5k99bSLPRzsfz0SLmc9ujhfPSSVSz3NJ1M98o9tPV8cjz0Ww4w9bm2GPb76jD3x/Zg9jeyNPXE0WD1dI1M9pftdPQnoXj3YFVg9K5NPPawxWD08ZWU9XNBiPf7uRD1hJjQ9cD0/PdrTRT3171E9k9ZRPaWjWT0kS1k91rRZPbtfXz160G09OiNgPdOrZD0nNGw9Xo1ZPRlgWT3xrUc9LlY+PZ5aKD2NkyQ98m8tPTuxPT2q3D09mtA9PaJhSj3pI109EfZePQOjTj1+jkk9fJVDPa33Oj2UCkc9wBwyPVfwJD18zyU928MqPZZDHz1M2BY9f7AiPVoNJz2bbgQ9NNe6PANOqTwlgsQ83vy9PLV3rzztes08JfjAPAzqrDzPk6c89tqzPBbgtTwq1rM8MlOsPGXbtTySNK08yrelPDK6rjxGy7g8AxixPK9jwTxmmec81TfdPF3B5jzYdcw8Rxm6PFAGuDzP0a48Hgi4PKYQIz3PgIk9pFyCPZvp7D2mDTA+eIAwPvvaJD6e1iI+W5EpPr+uKT6eLSY+9hIvPk1jMD5FFDo+xZ02PvFtJT4QAzc+Wx4zPlUJMz6O8jw+47snPlG/Ij4ExzE+Uv0qPtQjLT45Cyk+aYMsPuPnLD7nORs+ILcdPo5oLD41hys+v6UzPtcaTz6ePTA+TrgZPj36DT6+LDE+XxU7PoPDQT7B3jc+7DA/Prc+fj6pznQ+GbVXPkgANj5HLy8+VlUpPt9AMj66Khg+rNEdPiFgKj5N+TM+2AQ2PtDFKz5gAhU+iTWwPdYOlj0ffx0+EggjPhBcJj4D50E+bdo8PvD0Jz6YFzE+U0A5PnUPKT61QDI+8N4tPgttKz7lKys+D1UvPpNCOj5tCzY+GukwPvn7Tj4mu4o+PIZ5Pn++ND5f3zY+URd7Pid4cz55Zio+7CM0PkeeND7zuyo+QsMsPqtYOz5CNEY+5II2PleeMj5CAiY+SMMkPg3aNj7jpjc+0tg5PoDqID4e1Ro+fLxCPl63WD6JomY+lJlLPsyoOj6+Rjg+/2o0Po38Qj6gxU0+WP83PtgpLD7n3C0+WKk7Pg3kPj6H+C4+XIMrPr+Qcj49tIk+vdQdPka5ND5nMz4+ZWRNPraURj5t52U+C1pRPtPhUz7JkWY+Ar8/Pu/YSj7kW1Q+DEIdPumXID77PDs+Q6UcPuVWNj6c+jw+FiQ7PtRkOj6ibjs+sIEiPhHRST7jt2s+a85XPo+EJj4XpyA+taQsPoeMYT4kYTA+D006PuHURz6T/UI+B1REPnuNKT4oiy0+h6otPnqeMz5gCUQ+raBHPoWuLz79ZyU+HhcdPvYqCz6zXR8+F2YoPmGRQz7uzDA+eqI2PuG6UT4dbTQ+smMWPnUmKj6TMnQ+0lI6PtjqHz6CRR4+wccKPkX4CD6A8zE+CMZEPgsQNz4u4CU+E20FPhFQBD6wVhI+MtUZPk2BKD6wkig+gOdFPqwHKj53myQ+iGEKPsKjBj4DBBQ+AvAgPhyCMz5dOx0++zEMPpI+Ej7ARjY+yP5YPvCyQj4qqBc+1qogPpDtDj4gUQo+7JcZPrtzJD5i1iM+rUUfPu1HJj6M4jw+uVVRPupQdD4vsk0+opRJPgIxQD7cU1I+xChDPtsdLz5DBzU+DoZDPottQz5zmUY+ZSJPPlJzWD4aQy8+8vYYPnj4Kj5kxBs+oexNPbLKQj1p7DY9tlotPRSwJT0Aczs91r5ePf5Wdz0QCXM9k4tLPTn4RD3vq0M9zW5iPQIUWj2rGT49croiPT1GJz20MT095OJRPdEESD0MskQ9VUdLPa96UD34lVA9bZ1GPVG8ST3TSXY9X+lnPbVXSj13J089od9mPaMmhD34xYE98Sp0PfieYT0b3m49eO+XPY34kz1HT309XJ6HPUZXeD1i2Vo9UYo8Pbm8Tz1QH5A90cSsPcFl0T30fM892cimPS+Gij2swIw9tjKfPRwppj0CUqw92aC3Pft5qD2Yu6M9abGdPWlMmj2r46E9ws+zPbGVrz0PQrI9VW+yPafqrz0Gsqo9OPqVPT8mkD2gCJg9jm2rPfeWrz1H3Z49VWuaPQRwmz3SbIo9VOmEPQojhz0BHYQ9VH1vPSa9az1vTHM9P+eCPYDqiD2UhYM9Kd1qPdQ4fD34IIY9WB2OPX8jgT3s7YU97Vh5PT1IgD32dXU9AdB4Pbn6hT0ehJs9XmeWPX30dz0ocXc9ZUiBPWlzmD0zUp49GFiRPXM4jD1/hog9ivmLPZXAjz3PwYw9xTOaPYYdnz0X/4s92qSMPfDiez3+LXU9fPWEPQibhj0SLZI9T2mTPYeRiT2iuIk97RiIPcIkcT1OamM9ywF8Pd7Aoz3TXKo9q8eRPa5llj0hb6I9Qy2FPWeyZT0BB389CTl0PUvRez0uaHM9FU+BPU7jiT3gAHc9LO9dPasMYz3tUGE9YFRbPSAsWD0//Gw98/RnPTDybz23DmA92bs/PVNAPz3Tz1A9zFdOPRsiTz37FFs9znVdPXnVbT22SGQ93lhXPYYAbz2xsHo9NeBePQ9fXT18um0962dvPXTseT170n09r/mLPazXkT35kXg97uJ0PT0Cdz2NkWg9nlR1Pau8dT3hpm897vd7PY1haz0fTWQ9V3Z4PVzAfz0I3nw9t/RvPQwEdD3fm4g9FMSHPRsxgT2RK4U9yGuQPZdYkz3uWYw9Jq+NPUnCgz1b9YU9sCmCPVQBgj2ZYI09u9yKPcr8hT3dyoc9twSQPQp5kj1W8KA9HcqTPTj9kz0sXYQ94oyBPW26kT3mI5k9bVSPPfg1ij3Bz6Q9cSu0PfaYqD24+Jo9hQWPPRQpnj2nmaE90gWkPSwVrz2dzKg9eZWbPdnmmj2lrKA9QxCcPbL9lj1Vfpk9UKSWPcBfjz2KhpQ9MAuQPaZ/mj2DIaU9uzGdPSKSnT34HZo9SkufPRqMnz0KtZs954yiPYcjmj1kK549v++ZPVIznD1JCak9Qy2sPesDoz2QjqA9zUKgPaphnj2lBZ49RQekPfl9pT3CuK49wOymPdJUtj27WrI9jN60PSDKsz0CsrI9TKWtPaOBmz1+LZ49MUmqPd6coj3CeqI9/gexPSogvz0Fr8A9utK5PfbEsj1OJ7E9/H60PZWVvD3mrq09xsuuPVO9wj1x2cM9oNOpPd9Huj1DVKo9+rSlPWT8oj0WqKc9e6/JPRbeyT0hu7s9wh+wPaC2pj3Q+ZU9QAiVPURIkj2YMIU9b/OEPf81gD2T7pI9lleIPdXCgj0PzIk9KuKPPW6Bnj0+9Zc91iGTPXEBiT0LyHo9Cdh0PcUfgD1YQoU9/QKPPaysjj3WbZg9SemZPb5qkj1sbpE9DpSRPfhykD0SfpI9Htd9PUarYj2t8G89svV4PZ0Efj1ccI4939SaPVbWmT1eHKI9Gc2qPebqnT28/4w9HlaSPe10jz1W9Zo9+6KgPbcNkj2OCI09BuOGPczRhT1NOIw9zKmJPV4Aij360oY9FPCTPQ/toz0yJZ09FM+QPTuQjj2b3J49LByZPS7ZkT2HcoY9iPWEPaalhj31GoU9ZFl1PW5wdD1ap3g9eJltPQ77aD1upmM9kqR8Pd/ohz3bC5I9NTiWPcS/kz0DTJA9b5mLPRmKiT1Sa5w9ISmfPaQOoT2SFJ09Y7iHPYVrYj2vy049BxdVPYnOSz0+Q2Q9lPZ9PRE5jD0mz5E9iGKDPVoEez2OrX49A2CCPQlSgT3TeGg9NAxfPa7WTz3GQVY9yQZrPcVlbD3QPlg9i+9APVA4ND3QMTc95+Y/PaItTz3oCVI9ueBkPcSVaD1eRWM9gD9hPXt+XD2CyHE9gitsPefzZD2ly2I9BIZgPeDkVz1N2089p80zPaPWJT3d3DA9Gr4pPfIIID04cS49hihLPVqrUT24EEY9M0tKPaHgOj2SFi09wn0vPdSTMT1kQig9btoaPWb/Ej1o2QA9Ok/cPGf40DyVYMU84ajVPCYLzzwTbMA8/ODAPAkduzz0acQ8wV3CPDj8sjw5X8k8ngfFPPeVsTxB9bE8NdyxPDwBujwuYNE8OSvRPAIYxzy37rQ8vEy+PEahvzzkgME89NW6PK/22jzZ/vU8jkflPD726TwtIt08+1DGPD+Lwzyhc688LbSmPMDe4zxW1TM9/8AtPYnneD2qMtg9QLhEPpcuRD5twi0+gpQxPirPOj69Xzg+np4qPuMUKT6FBz0+VkY/Pm7NOD43njo+ZbEtPgszKz7lays+2WMhPieALT7EtSk+7y0mPhUVMj6J2jM+Oa8sPo6xHT7SOhw+zb0pPsxJIT5BdR8+5wIlPk2aKD7F3yQ+6TkqPsJvHT4faiw+IblKPsIsVj5X1Cs+SqQ1PprWXz41pIs++IqKPsn0PD412Bw++dQePh/iGT5egik+3Us1Pn+sLD7fCjY+11QgPv37ID6lmyY+Re4LPoz5GT7kvCw+5pg1PnH/ND5p3T0+GQE4PisQJD4hzBU+yqMqPk48Kz5uwzw+UEM5PvYELT7Z1Sg+cGgpPr2NLz5+sys+UtQqPgxNOD7SUGA+52JBPiYRLD7/pUA+goVsPm1WXj5R3D0+j4EvPrleLD5rySc+TaYxPsJ2Pj53xTo+czwkPnRMKj7jwDA+MmMvPjDjLz42WzA+CSopPuguJz74nh8+s1lHPkxTWz6joU4+Z24+Pm7yNT6nJkE+hHlDProRQj5nJTs+y0VHPqlUUj6t60Q+sC5IPkJQPD7Lxy0+axsiPjg/kj4Dnsw+/rVCPo6aQj5BtEg+j7VcPsZBYT7udDM+tLgkPo5wIz442TE+CKgrPuZZXD45j0k+yV4bPg15HT5pxxE+3xEUPmDDNj52xk4+gMdaPvnvXD5hJ1I+SzcpPsgCLj4X61M+epVcPmJ0QT5LwSw+VJ0iPrhCMT5aSTc+mtI+Pg2ETT42kGU+q6gzPiY8KT6r7zw+p85SPpv0Rz7SUzs+r2QsPoDqJD4yixs+NqMQPlnAED5MKCM+T0AePoALQT7EC0o+PZtNPj8YRz4qfxo+6c0SPpTyUD6UhWE+IMIjPpjIGD5iKxo+mdgVPg6MDj5kVkA+en9IPvgSHz7McRk+Nq0SPtJyCz7jWxQ+weomPgBAPT7PFjk+eB0sPtELJz7D7iE+5MYaPpt6GT58nyY+ooUQPh/bED7i+UI+9jhePqevYz6BB2g+3wlCPpU76D2aFEY+v+tSPiF3GT5qHjE+y8cxPpTrNT5hjx4+isAfPmFvLT4urFk+TjpuPnwlXj4ZVDY+ojghPl7CKz7QEzQ+aF8xPsJnOz5L2UA+OJw4Pt4/PT7pZT0+zPArPuZaPT4Z5zM+VCQzPmCtNT6E9C0+C6czPU/DJz01Ayo9O1o3PaouVT2ba089Dg5fPbfMZT05Dks9xp9APe7Gaj3/6GE9sh9bPU9vOz2mEzQ9xbYgPfksIj02mzs9fi8vPW4uKT1a+ic97IIqPQ2RMj2r4C09f+BEPVOdXj1ALlg9dWVBPY2uJj0mvEw9aA5pPRYIbD0MXog9QEGnPenOqT2ZKZA9zaGXPUowhz1B+Xw9mvhoPXrEjz3Qh5k9aP59PamTXT2GmIE91EWoPV4z0D3yp649IG2CPUWMjT1QlZA9Yq6GPbuBkj078ZM9O3mUPV+YmT1+Vao9hbm5PS5/uj0iNrs9IPuvPbTQoD0cupQ9TNqNPdy+lT0lVqI9IYiiPXqlqz0XNbE9js6iPbMOmz3e2os9+ZqDPYY+kj1TE6o9SDyYPR0Gjj1oqoc9Og2KPSoAhT02UH49j/h3PaJ/aj314Xg9kWuOPbdsiz0oi4M92Ll9PWLPcz2+NGw9NJx6PVSiiD3xP5c98hObPWD3mj2Fg409telqPSRpez3JGYw96yaJPb+Rhj0+1os9PyuaPZinoD1hAY49k9uIPX51hz33Ho49kOqLPcloeD3ThG09jhOTPUqpmD3y5Ic9Lu+CPdBOoj30FbQ9m4ijPYNghz2VVIE9voJ/PfaZlj3UvJs9nDSKPXOCdj0ufoM9LNCHPUsXfz3tc4Q994+APT3Agz1aVos9l7JxPRhkWD2zsVw9pmRzPVq+gT1Zw209Qe9nPas4bD3P2HM9Hxl7PZtocz2p/W094lRWPZ46Sj1+akA9nv5QPRJlYT0AkmU95TRWPWrOTz1cQ1o9O7BlPYEDbD30J2Y9C6h6PVK9eD19N1s94d5qPQ/keD3stHE9eWODPdmfej3bAnE9jmxkPbbZaj0sAGU9fRxpPb0/dD1lk2o9oldyPamxcj35Tlw94fRVPTeQVj1171U9EEFnPTLdhT3MSoE9n1CCPQK9fD28HoM9NPWEPTWsgj1DA489yvCPPch6hD3nF4U9pQuKPWpRhz1EI409VEuKPWP+gz28z4g9W4Z8Pc4Rij3mdJA9QNeQPVybkj0SeJQ9/yaZPay1lT2H0Js9TVqePSpBij3rh4Q9vIKMPdSkjD2RMpM95TeVPUEdmz2hBZk9OFaOPVE3jT0r+ZY9iZ2dPR80pz2Lo509fwShPRDkrD2SAKE9rO6hPZXyoj24+5U9qfiYPWGimz1qb5w9vuyvPdhRsT2BIq097AqpPbmYlz1szJU9HGahPQGumz3LIJk9mU2aPWVrqT0MQqE945yfPaiUqT2gKK89lF64Pd4Zrj2CYas9xpOmPXexoz1Xpa49UWC4PW2MsT2DVqE9CkuePeKToz1ZqLU9+/O0PcCWpT3kRqA9+52ePVHboz1gYqU92AehPcJRpT3TDqs9KG28PUGkuT3jOLc9l2PAPUQ2rT08Nqs9ZpSqPYuNqz3zsqk93yXFPUwp0T2vWtA9OarBPWXXqj0OgKo96s64PZ0juD09Y7k97TnHPYI0sT3rip49yEyXPVFFiz3uLoI9PcyCPUTJhT3LG5E9iSiQPU60gj1G7ns9Q4yBPR/Ihj1HnI49zh6bPUd/pD2BSJw9qHWIPVCdgj24zH89c4Z5PZ3fgD0wd5Y9jNKSPevciD2ZLYg923COPYj+jj3boo89EgaQPekmiz0g04M9gjJwPfxmcz0mH389xaRzPeHieT09ZY89DF6QPWvynT0J3Zs9P2SiPa2umD0S8IU9beaJPW+7iD1MoYo93QqNPW9cgj0XgZA9vKWbPekllj2AHJ49ZXaUPTcNiT3TE4g9KrKGPRKhhT2Qo4Y9BreCPUXqhj3kLJU9qiCXPXvckD254Zk96niePSJClD3C14o9SCCGPZU+gz2KoHU9z7pzPRRsej2yZHI9PWuFPRXdiD13DJQ9ZW+IPaJsfD1Nioc91KWOPSF9kz2cbZc9uNmiPcs2pT1Rh4k93tBmPYm4UD3tSls9U+98PQ6KhT27joY967ODPVJyhT3YXHk9UWZwPUs2gD3FfX89fH2GPTGcez2JnF49T8tEPRnrRz2oDk09INFWPataXT2W/WE9bhpIPZ+OMD3tQkI9sThBPTQKRD1OMVg9ulpfPby2TT3EcUo9UipRPRXNUj2TElw9g+NqPW8jaD2H2og9cAmMPRsoeT2LpU89qmI0PUYtLz31Dzs9IKsrPbglKD0MljM9hjg6PVO3Rz3tojg9j8gqPTISHj3m5hg9COQpPZUQOz2C1z09QM0PPXXy0TyRO7w8HFa6PJlatDzR2cc8L0nQPNgOwjz6Vrg8Fd7NPLo1yzxfXcA8B92zPE+5sTwoarw86d66POEovjwNQMo83hC7PI6DuTwXtLo8CjTDPD0n1DxNoLs86tK1PMNjvjyzhco8VMXHPCDh2DyZhN48xTfOPEoDyjwmc988uEXxPG7p1zwwqtQ8+N/FPC96ujwXgeQ8WMP6PMDWGj2ea6s9qZaBPomgdT6UsTA+LBE4PuN3Lz4p2yM+vCYjPlOuXT41b20+RyM6PmD0PD6VyzM+RKcrPoz+Jz6omy8+W/Y0PoY1JD7KwR4+aFQxPvo4MD6bxjc+aHQuPrIlGz7sACQ+vVQkPrGtHj6zpiU+epAhPr0GJj5Hwx8+Bi8xPmAOIz5Wuk0+SMJPPjpdLT7qaio+4qQ0Pvlwkj6VmJ4+QPpGPjVbNT4nvh8+z88iPtUrJz7I2TU+QExJPn7BUD7qxDw+MdkjPjoTHz5tGis+oVYiPoXkMT6mpz4+S583Pk5LPj5YOko+l0RQPq4/QD7k7hM+jUApPm40Zz6QOXI+tAw0PghMMT5Ibzg+WQIrPsCSMz5jZDc+Yv47PlisMT6suk4+cctwPq8ddT6gMGo+zXtFPlThVT63U0c+91A/PtZnOD4WFDw+sVM+Pun8Oj7MTzI+uyA+PhnjPz42/Ck+D2UqPpx5Ij5PoyQ+aLslPtfdIj7ZBkQ+QkRWPpIRQz784Cw+39wsPhmLNz7mO0Y+DwVVPvzkMD7kaUQ+ZsQlPl7/ID7mWko++rhFPjQeLD67cis+jpUkPvksRT5+m74+sWdlPuyGUT7cLVc+C+qRPuS22D6QVOI+y/yHPvowLT73gi8+MHE5Plrqaz6GTD0+iAckPjy9KD5hBSA+T4EiPh12KD6AC0M+kHhTPrRJVj75QUU+EXeMPtyRbj7Uez4+EA8tPhgyPj5/t1c+nFkpPsBoKD5FKjE+6DYqPhXQQT72z2Y+poZJPhTpNz4ARkY+dJI1Pni2Jj4ZSjg+TGorPhZvGT7WKBs+Tp4hPqjuHD6jXSM+D2ErPq7SOD495Ec+fmxCPjWMPz6lnCI+w5AZPsnLHD7bsjs+sBwlPjSVFz7jdxQ+GCUPPqkHDz5FxSE+HrUvPj64Jj4LrR8+tBYcPszrGD64pCM+XucpPtTZQj6T0S0+mHkZPngcIz6K4yY+DrgqPs22KD7HxzY+aSQlPvadGz72cE0+bkBAPoMbHj5DLxI+7yj1PZa0FT5OUYc+lEA6PoBmBz63Rhg+rZkcPjGTJz7sNCc+voMrPkvXQj7yQGA+/k5iPtgLQD6qvzU+8WQjPhMNNj7CEU0+WZo5Pt2zMz4uKzE+0pk9PrpqTD7OhVI+cVQ8Phv2Tz67Rzs+mcNePv1VpD5AxK8+jS0zPZ14Pj1slDg9T5M0PWmLWD1e4lM9rctZPVvjXD3kk1c9wUFJPXq1XT3bYFg9vZVUPUyrPj2wTDU95scyPbElPT24R0098AU9PZM+Iz05dBY9VYgXPQZlJT0vZDM9T8FJPRveZD3ZRls9peYvPYRPEj0/dC89XUpZPZMDgD3NXaE9JOCmPRkAsz07bKg9V8iQPcaqjz0uooI9t9eHPWBarD06xKo9Pe2YPZmjjj3seY89ebWWPUGOjz327oQ9VGZ3PWdgcz2A5ok9216OPQ/OkD1uFos9AT+MPZaKlT3kE8c9mp3lPS6btz0CkK09CHGlPea7sD306ac9Uy2VPYjylz1AqZ09ZEGbPdeVnD0gJpg9M9iSPVLgkT3nh5E9IJeKPbLhiD0s2ok9PleCPaTCYT1L0Gs9yo9zPZX1bD3qe4s94G+JPbNsfT3t+X89vuWFPe+Afj2i6YA9vDiCPTb0hj1BiIc9j66UPeT2mD15SZQ9ULeCPRErcj1nHH0980hmPYorej3JB389xCGPPVuCoj3SqKw9HS2WPbl6mT0P0Zk9UTaLPW4ZiD1x4YM9azCJPUCOhz0c35Y9XMKrPdRApj0IAZc9riqWPRNIqD3tuZ89MAGBPXT6dT3IS3E9YTN/Pec6cT27tGg9kQJ8PcVShj27yJg9GaGIPeU/dj2MgXo9BwKJPVrFgT0+8Xc9fj9iPe7tWj27CG8987xuPZXAez3glYA9amuHPQ+6lD1iw4c9Bk11PfysaD3t71s9gxBWPaddYD3ROWQ9YxhhPdinaT0x0H092bmBPYAkdD1nm209joRuPXeFdj2I1Gw9BxpyPW9fWz0oWV898GhiPSCcYD1CPmI9QSdgPSJ5az1Y0oU9SLWCPaMIjT1gmYE95Uh/PfQkdj0kDng9JEh0PRnkZT0J5ls9fPxhPVkjbT0S/n09XJh9Pajpgz2fDYk9Mh+FPcUglD18foc9YfVxPVUzgj0K0ok9OmmJPRHviz34F5Y9ZgubPd2clj0+ipk9BJqcPXdLmj3bmZk93xmMPXt9iT10Fo89lXCNPfQthz1c14o9DeqKPUogkj2l5509CmOhPaQqnT3usJQ9UW6bPSeAoj1uY5g9KYKXPeROhj36HIU9VHWRPaJRnT1sV6g9SiCmPbsIoT1P2qg9aWGqPYz8lz15+6Q9U/ywPVcPrz22KJ89irOiPWoeoz3HMbM9zGG+Pflyoj0JmJg9Wt2YPQYqnT3TNp8971ScPWbbnj0viZ49QFemPU+ptT28qqc9TUKePYoRnj0hGao9mIuiPfSLoT1zHrE9dM6pPTLIqT2LUKg9uT+wPYCLrD1vDaA99e2sPVXVqz2Yy6s9PoqxPds6pz0ypJs9X1iiPSl8oD3uoqw9TT25PR6QvD0szLA9nxu5PSHdyT1+AL49kRyxPf5Uqj1kaKI9fMG5PfmctT0LTK89DLG6Pa9Luz03yLA9t96vPdDAsD3qZqw9HAG/PWXetT0RUKo97tKePcjNnD03Rpg9MCqhPRqPnD03koQ9tIaCPbjthT24wIQ9k4N8Pb1KcD0xrYA92/iMPebqkD3pNaY9xEKhPThOjD0MfZA9whaMPRptgD1Rnok99lmJPeJ8hD1D3Yc9lz6OPYv4hT0Koow9VP6PPbYtiT1WvIA9OVJyPaiyeD3Zy409mZeMPVWMiD3Uj4g92fiEPUZCiT0Gy4g9YWt/Pbm6gz0M44o9SI6HPaLtfj2wbIQ9SkKDPWgwjT2sYo49ou2OPWpijD2GZZ09vrujPeC5pD2wYJ89PByFPdVCfz2RS4M9B36FPfhFjj3ijZU9pW6RPRtijD3LtKQ9+uipPckqpD1QKKE9A9yfPcQlmD0/7Yw9B1dzPXALcD36i2k9Q9VmPdgjeT1Hy4I9ylqKPX43nj1h35g9VrClPX+Kmz3mm4s9tI6LPQ4rmz3ufak9VoGWPbplhz2uiHY9sZNuPV59ZT0nj249BkWKPULNiD0wIoI9OhdaPRSoWj0Wl0k9qihKPa0FXD0ILW49UmRhPcQpQj1zlT89B/VGPWhDTD0lFkQ9pAU+PUKnSj01L0g9XHs0PeuROz1Q1UM9z+M/Pa1dXz0sw3w9NGVqPaaeTj3++Ek9WRZePflxdz1Y/YE9+1t1PRNLgj3mdIw9JwOBPbn1ST3TRzU9q1guPSA0Mj1WJyo9hVkiPTiDNj1dhUg9TPY/PbevSz2ETj09U/EsPYHkKz1saCQ9za0TPcI/BD38vAA9c5zIPIeInDwnQbQ8lTauPLjnwDx+lsA88IuwPN05vDxRCbQ8wLurPCOduzy4Ccg8qHzFPOhVvTx9Pqw8wO+sPB0TzjzvJtc8IX69PKEGvDwHU8Y8VsS7PB0LzzzMLsk8nXGxPKp6tjxL/tI8qsTBPDikrTw+Dbc8NRTFPD/dxjzpW9Q8sNPNPD7czjzAo8I8KrG7PMjpvDzw9sE8CvcRPbofLz2+4EM9cVAnPhnncD7p5js+XccyPnj9LT6o1SY+yqouPifSNT7z0zM+e+4jPur+KD7UezE+w/wqPuSDJD7KNyw+vIYmPtKNIT5p8h4+ErUsPmAeLz7pRC4+slotPn37GD5bNxw+bDMmPgGvIT7voCA+RsMcPt/QJj69ZSY+PNwpPlFeNT4yQzM+mdQiPggVGD7mkCo+tksrPq1Vgz6gqJc+boZGPt6bFT6cZiY+pv8nPq8FIT79/TE+UgNTPvnjTz6xPjg+BKkgPiPqJT5kwSc+2eMxPlhPOz7eFT4+fogsPlLcRT5rSYk+R3CYPvfHiD6r9mo+qLyKPtUcYD5g2jk+MKgpPv+BQD6c1D0+JfJQPhn6Tj4+/CI+jRcyPmDfPD4xwGo+vleEPkQccT4SLHg+9j1bPoRWZz4cEk0+LqNDPsWyQj5S+DE+T9gsPjL0Oj7y/yg+Js47Pv90KT4f+ik+H0ohPrS/ID4xNyY+9Z4oPvY4Sz5Cgmg+j31OPjH+Lz7OiSY++lspPg73Rj70HUY+TXA/Pv5RLj7pYzg+qkkfPgtuGT6dnTk+QGBOPtAoMD4ZVTM+H7UyPsYjKj6mhms+ywdzPo9SWz78/W0+lyd5PgBvaT4lNn0+Ni9BPk0bMD7daC8+vpswPtcwOz7YuTU+Ft4sPhYDKz5eAyk+xvopPpz8MT7ifSo+6zEnPoM1KT5vYk8+yNuMPoXLlT4SZyI+WWkgPi6IRD7RQoA+FdI7PqlORD4eJz0+UgEsPhDTJT7F4E0+pmVOPubjbT5nbZk+rgBHPo2iJT7Q3xw+Un4hPufbJD76vy8+DRI7PivHSj7cMEw+fz8pPmqUTz5u11E+9Ks8PjvkJT7eyCo+G7QgPqn1KD7CCUg+aM0tPoHFEj6sshw+XY0kPkXaKj6l0FM+xUwtPvTzFz5gZzw+meMvPjKcJj7c/hs+uxUjPuV2JD5t8Bw+BO0jPmQJJz5BsCY+pzsmPpp0KD5TYCk+kIUtPuyUKD7v9RU+88cKPgwDDz5GCRc+PwgRPi1XMD5mfTs+d1cVPh4nHj5mGho+8roWPhi+FT5bwh8+UGcsPl1ATT4kB14+edhxPpp2ST7Ooz4+utZIPj2/Rj4CFz4+Gyw5PhwTRj7wcUE+bG8vPt+YcD7sOnE+L980PpsxEj4/qig+o0NaPqBzgj5cU6E+9Bo3PYsWMD1LEU89M95RPUHmRT0qkVc9nRFuPYMehD06OGs9tABhPaY5hz2W8209dexPPQwTSD3E9VI9BptkPYRTVT2W5EA9sWlNPQt1OD1nKyU9uoMePRXTKz2lfEM9O3I2PYNWPj0l+049dKVbPUmOUz2mFkU9rWFmPUAGcz19/489zD6ePcripD1jPZY9hVKTPTkkmT2bCYA9CPtdPUaYbz1B9JM9O1eaPTnjhD1o53o9reuDPe8Pdj087Gw9xDB4PejZij1U3pQ9kGuRPaUqlT18rpY9s+yYPXcqmj3DXLQ9NmSyPYxQqj1seKc9B9CiPa8CmT3mco09t2aOPenZmz380pc94MCXPaN/oT0SP5E92m2KPZP7lT1GuIw9Pux0PT0AZD2NfmM9nQSBPV6Fdz0GGHA9r4mBPeDUhT2WsYg9/nJ9PRe3bD2TFGM9LLZbPdz/fT1YApg9Gd2PPZmZiD1mrIE9Rrh6PZnrfT2HE3w9IqhiPUiTWj04tmM9S9NqPZd1dz0O7YI9fcOFPZVOhT1c5II9KiyCPcTmhT1NdX495h15PRe5iT0NdZA9jAOaPWRnnD3jxqs9z3SlPcL/kj1hlZQ99fSNPa+Dij0tp4E94eaGPVy8gj1nV4Q9WTt7Pfbifz0G2X091I5oPYOpdz2B9Xc9LrJ5PdwqgT1fpmc9K9dgPQPzYz1tFIA9CqR+PQzehz3j+pw90LihPQVclz18RIU9/9iDPQoDij3E5H89rqN8PUTPbj0IZGc9DT5uPWcXaD0/KWY92Il7PSkFeT1pnWk9ZfBhPRX/Xj3hang9E8l5PShsYT3B3VY96QhaPWkhSz1DSkY93qlIPQudYD2CY2o9KitlPRzhbT3gcXk9FGNzPeOmZj241Gc9omJmPeEkZT3PxWQ9Rh5uPb9JfD3ZXoE9F1iCPQvEgT3tZHM9JOdxPX/dfT2jX4M9iDSKPVl1jj087Is96pKWPS05nj1+Io89pFyDPWUKij1HtJY92piRPVUvhj0KII09XEKPPaIllD03+5E9fXKNPTmWgT0NuoU9/O2EPZFahT2XFIk9W1iOPf6okj1ARJk9SiaXPbUvlj2NZo89vpCVPUeAnD03los93JaOPXeXhz3fsIo9YFedPRfOuD0Zaa8999OgPbUsoD3PQac969CtPfrprT1u06Q9XBGdPWUUpT27LqQ9y8alPcorqz29w6U9WvylPUCfmz1QN5k9zMKcPdeipD3C0J4969ahPVGhrj2TvK89wG+wPU5cqj1DB6A9Ks2kPcMQpT2O1Jw9dA+ZPW4pmz3lRqU9W/SkPWAQnj3gOKg9tWulPSGupj1nCaU9zJ+yPSMIsz172qo9YjOpPYbkoD1SIp092dCmPY27uD2vL7Y9qf+zPc7WvD0/jaw9uuedPeMLrD3qEao94BCiPeGnlT24gZ49BvGoPcIyrD0PPaY9JK6WPTWdmz3ZbaE9WqymPWoitj14/Mk9sgLKPchYwz2psbM9dkilPdZuoT1EJpc9QsuPPW3TiT0s2oU9SQ2HPTgxlz3kmqU96R2ePZH7kT0Rt489PleIPQwsjD0TRYg9As+LPXt9jz2fn5I9i26OPX+Oiz1groo9B5eQPW9Blj1dOZM9jMeMPdxghD1sqoI9V5R7PUINgj1qJ4I9M7V+PULCgD3ktYQ9MjyDPS02fz1KgI49QvuUPf9WjT2QXZQ9SuSTPa+FkD0/4Y49f/OMPYJMkz0/j4w9T2iLPaHNjz33naM9FGuiPbiJoT3uhKc9uemfPYublz0k4Yg9TraBPUGEgD1J74o9Fw2PPcoqmj1hh509uEqgPf/6kD2MEps91OqQPbismD3BOLc97A2xPXEVkD11SH49i9NzPb6iaD1PO2c9jgNxPVKwgT2Vmog99sacPSohuT2dZLc9sbW0PT7CoT302YQ9XQqEPSJogD0BRYU9CE55PYxadD1HpWU9jAtsPcrdaT3DcWg9ERt0PTyFXz0iSHE9+8RdPfvsWj0BLmY9Nv1oPTE7Vz17zUs9rNVLPWUBTj1QcGE9ATFhPQkfUj0vl009tXZDPSkpRT063zs9FKQ0PeuSQT2UUEk9gT5ePRDmbD3WDns9C/dwPWoIYD3iR089GWJbPWn1Yj21RnI9CmJmPdQhSj1OU0s9eBE0PRVVJD1RmyI9NZc5Pa4lND1AciE9sFYjPSpxLz3ExjU9ZzsjPXROFj2tphQ9iFsePenaCj2eBu08EoTMPPo7qjz955w88JKjPBUUrTxCJ7Q80qCrPEfevTwSFKk8uCmjPDuItzzS68U89QzPPBJgyjwOU88856/CPBDfsTw+c7A8hLu2PGywzzyRQ8g88U6vPI0QyDzc3+A8bTfKPOZHyzyNhNI8ASfRPPPHyzzjK9A8+ZDAPBWXqTziw7g8RQPPPBbkvzwlfMI8B5/BPLSuzzzdONQ8gX7JPKSPwDybv7882K8OPYlmVz0NxhQ+66JCPjwXTz7oYDA+x0kfPnlSMj5TSSo+6sMrPhHnLT6w0Tc+xGkxPuKKID47ySo+XDwtPsC4KT4ACC4+iCodPpqpIj6z6yg+048mPledKj405SA+A+gePpt0Hz6t1SU+4JkmPshrKD6cVyU+aDQrPtMZNj4T6jE+/k8sPpgoRz5TXSM+nLUjPiZyQT4tPS8+QfgUPjgTNj75Lx0+lxgdPsHGKj5t2TI+ieAoPuokLj6xCWg+tHhHPs2oLj5tJyk+AuIuPlfKIz5YICI+3dAuPtI3Lj4UKCw+pXU1PvbUVT59Y2U+IWlUPotXXz5dils+qSJTPjxcHz7y2TQ+qMhHPnR/RD46R1M+wZFgPn/YPT55DSM+ZzpUPpsBaj5+ikY+udUuPuF5LT4cejw+2i5CPnA8Sj7e5CE+cl1bPgkcSz7P8BY+r/UaPhIXJT6OjTo+QAk5PoEnLD5A/SU+K8gKPnMzFD5UWTk+PiI8PiZ3YT7JxHU+7c5RPv/ENz4/5jY+La0gPleRPT4GMDQ+Zg0xPsF+PD6S9j4+Tuc0PmkcJD60f0s+dxVHPrA2KT6ugCY+vWoqPksiQj6xjks+Wo05PkeCQz4ssjg+dYgnPlwlJj4+qSQ+C/oyPq4jLD4zxy0+6P4lPiyNJD45KSE+LF4aPocAJD4Vpx4+R4sZPtJsIj4MzCI+ghYqPk7MJD40OVE+W9pkPhh1OD7pJio+G/k6PkdFKj5wwyU+8hMrPhL8MD7HET8+wZA1PvkuIj6wDhY+3AI+PoX3az75R4Y+luwyPvdWIT4XGTU+EoAfPntYGD4TqBg+y5cjPuaPNT6QdkM+P2g0PlC/Pz52V1E+KBM/PpT0LD5TSR4+ygwWPlyTVD4pzlM+VI8kPpTDLD4h9iU+6+8pPoFOND4w/zg+F3ocPnhNJz6BoTQ+LMksPgEiJj6qyiM+4jUePrEmHj4ewSI+KZcdPg6tIT6aqSg+CZIfPjMcIT4H1CE+epQZPrihKz7zIDE+K/UnPsdvKz42GiM+Uhk1PviQNj5ZdyY+s6kkPuUKGj4ilRg+gzgZPuGXHD6EIR0+2U40Pq27PD7O+C8+n7xmPlg2WD5lMTg+oJpNPh1jQj5XzUA+iipGPoEDRz5OXzk+mqZLPrKgTD540Dw+XMlVPrdMYj7ARWk+YpZpPqDgdT7+qIE+f249PVvjRj0Lh0g9mMpDPVX3WT16Yns9pjl1PckOaj3Ms109gw1MPWx1Uz0zaE09QBNJPQCsWT0+KWc9AjtTPW/QRD0Itz896OxPPff1Pz1ccSc9EocjPXODPz1vvE49Gl02PdVfSD0fjFg9hDhkPdh6WD2vRHI9e+x4Pajcaj2IvHA9nuV8PfOiej2HJXk96SWCPQoDgz0anoQ9IdKBPSpnhz0vko49xBuKPZ6thj2f14Q9I8+TPRpijD3onHQ9IV9zPe6hlT1fmKA9bOamPSyBpD0oAJo9mziYPdySnT3t3pg9pr6RPdlEjT3VBqE9kS+dPSt2jD39h4E9P1GEPQNLkD3aQaY9bgCJPTp4dz2AzHs91M6NPfmllz2J3o09/u+VPYNelD32znc9nvB3PRLZbT1CL3o9pXmHPXWHiD2jMGs944JoParVaT1pA389cB+CPfNdkj1UiKk9/I6QPW4dbz35Hm49EHl3PSU8dD3orl497iBRPTiKVD2emHA9Uxp6PanRYz1ks3M9Lzx3PSaweT2+BIM9LJaCPWPWhD0Ad4s9XQOQPQaElT1FPJk9HVusPREXpz0sOZE9pF6PPTfriz2+8JA9n22PPSMIjT3SYJg98kabPeT8jj3vNYA96XJiPYkPZj2xyVw9RXpmPehyez3e14k9TfSRPU2DhT0a4Io9jnd9PXXtcz0wi4c9PC97Pe/YeT0LO4w9/h2PPXvhhj2Af3U9hFl8PVMbhz16iYU9Sd2DPbR2gj1u0oM97U2HPbpYhD1gGII91VSHPYGfdj0yGmc9P+hePR4Hbj2zHHY9uUJpPfuJXT12CVI9T8ZIPRL/Oz0fMWU9bV5qPVceUz1XiFQ9+uZvPfKZdD3rCXg9xnR4PYqOZT2kWl89fmttPe6ufT2sE4Q9L+6DPYeJiz0s2oY9PeuDPSJwhj1NCoY9eFF6PQ0dgT1zQ4c9u6iNPdDshj0/hI09Cn6MPc/xij0DcoM9vLmCPTxFhz2duJk9xwCcPWQLmz36N5k90caNPQD0hT0MVYQ9WKaQPRjxhj2lJIk9f8KHPYKShz1g9IU9LaqSPdxJmj3DOY492BOSPUS2mT0pOJM9ZoGOPf8olz2YuZ09uyuXPe9IkT1p75w9L8SfPa2+nD0DjY89+tKYPVzpmz25jqI9jdGmPSqvpz1mBZs9sauUPTKRmT2MXZ89WEijPZI0pT05k6U9qIqlPbrgqz1BwaQ9khGnPajZqT332qY9a9OqPSKAqT0RaZ89VzWUPYZynD0DV5w9OxWVPYvrkz3AGos9qO+LPXPMmT1ZcaA9xr6dPb4dnT0Ayq49lzuePQ/VlT128Jw9hHeoPWnXsz28fbA9pP6lPfZlpD39+K89Oxe4PZGWpz22hZ89CzOZPRwHoz30VqU9uuCkPdd/qz2p1rI9DMO4PU0lpT2UNZo9bzysPf5fpz1+aKU9Z9ChPefOnj3GGqo9deeyPYGVuD1vFbk9bujBPSAR0j0D4cA9F2mePY3Mkz2DFJg9v/eLPd/NjT0wZIQ9aWKKPSCPkD1cI4U9KUKQPXK7lD2VVqM9MgelPfeqkD0XTI89ntOPPdRnjT1i5ZA9g9qgPaoQpD3oKZg9Tx6MPdoZkT157oc9B09sPXlraD2GhHo9lnh6Pd5jiT3dQZA94oGGPcHTfD0tb4Q9SbaIPf0/hj3rOpM9j1WYPaJymz0fPpY9evCPPWA+iz0DyZE9jxCRPUFmmT1TnpY90cSSPZOEnz0JnaI9xf6RPYg8oT0lY5M9Gc2GPbgBjT13mZA9a3WYPXYYoT0jja49s+atPURWpz1tEak9sHCfPRh4lT23aZA9FwCKPUvziD3/W5U9/9GMPcM3cj0JEm89A050PR0BeT3p8IE9qkSMPahelT2rvKE9hSyjPQ39oT2ioZg9TamLPRTgfD18pIM9fF6FPZNdej0ciGQ9VdFrPX4dfD14OYo9rteHPYTHdj3pvXU9DfV7PWeXdD1SSnE98zR1PfK0hz2ntYo996d9PXYxZz3sUlo9LJ5nPYSAXz2gRWg948ZZPaKhWj0EPmE9ZCpTPQx9Nj0Icyo9nIQxPTzNMj3sBDc9eKBAPXn6Pz0+2Ts9/QdKPVYQYD0sUm09fTNxPUsYgD0T+2I9O/dPPR0+YD0YuGU9Xi1KPcqMNT3P4is96TcqPb2zKz3xXCo9R6suPU1wKz3k4ic9nyoaPWdMEz0ccxs9IVz8PGbLxDzgLcQ8Ua7FPP+pwjwHjK48WWGnPAxdrDzi4KQ8HB+uPL+6yzwgea48gqylPJSstzztf7w8na+4PImYrzwZrLM8SO60PJDetjxUisA8W525PKAEzDxH1uE8YRLHPHw7xzydXOk8Fw3ZPAKIvDwpW7o8BTW/PLsfuzzCZLw8XDy7PG9JzTyWn8s8qDP+PJ+lMT0GxTA9uZ3XPPXguzxTM+A85Cr/PIcTgj3rSrI9XkKgPcTcBj5JZjw+bu9QPgUtKD5/Uhw+bocaPkpgLD7+CyU+WwMpPgr+Nj6zbyU+sfktPsllIz7RNzQ+5a8uPgqzIz6YhR4+A0oZPqeEKT4DPyw+BjYhPtNVHj5DzCM+H+QbPkrtGD6XAA8+ouMXPndLIz5Z2yI+AOYfPoSWSD7oHkQ+JMoRPitRIz6MjzQ+TEM5PktCPT4qlhA+0i8tPgpKMj5NERg+UeUhPs+mKT6rxyA+MtgLPoCTXz63uHc+O0gtPu3FET7P9SU++DQbPhAaGT6BXSg+xZYxPhdgMz6MjS0+sBU8PuyJRT4DnTA+1skoPqHkMz4yiTM+N483PiWGIj4LdSM+u0IzPsZhRj6GHVA+i/o5Pgn9Oz5ZoVw+DhBpPpLEMD6wJ0g+TbhHPlRtUz74kj8+GlMjPi0FOj5cryA+hPg0Pkz6ND6F+Q8+zQEjPhNsKD7TvzA+MLI5Pkk3ND4WHTI+H1gmPu0fQD4Zm0s++ZRaPuNnkz6WaV8+ouc4PmcNQj63Yz4+bWgdPndAJj4gOyU+y0YlPhFcOz7iazw+u1I3PmekIz41CjI+uTg7Pk3CKT7ITCg+PyAyPv7GND7TckU+8M1EPmMSTz5b9yY+eV4hPqqWKD4Xjy8+OWQ8PnDOIz6KXSw+1JglPhKvLz621TE+bXwoPt0SHz5q2SY+lm40Pu/iKT7QKCw+MHNHPiqDMz4Pwz8+1a1BPtXMKj5N2zQ+kCwvPqjVHT7+byU+3wQsPh0tKj62H0A+k/UxPnd5Fj5gbAU+fnEHPqnmIz77LBw+tDkpPudrMj7AShY+apAdPhqxMT4p6y8+L/wmPluUHz7AIx8+uLQrPhkQND68lkE+hUE7Pr1oKD6NdiA+kdwqPj0oLz4fFyo++ZMYPuh8Mz5tITk+NZ4vPgrxJT6tzR8+3Q0nPrBsLD7goR4+IXIgPixFGz6lbAw+KJYOPr0EHD6kfBo+ogwQPvMiJT4RYBk++dIRPqyvFT6tlx4+hPghPrLaNj5S2jg+tMMqPmIqPD7Uzzs+W+IuPua+Oj63qEM+o28zPijHGj6G0yI+SB8pPqq3JD7HQig+DhIkPuIEHj4CY0Q+C/VrPg0jUD4u0TQ+oehCPtB7SD5fhFM+ckNRPtSeVD7r6UA+4KssPlk5dj5AJoQ+8DR/Po6+gT7GbGo+tiFIPozLJz4adB0+7G84PQMcQz2kqE09251MPWzVYz2fAWQ9vqY9PdOkQz0u1mM9izRtPS8GYz0SGWs9iVtqPVk1eD3vPXk9jCt1PeQOaD03TFQ9codHPc9zPD0hfUU9BEg2PaXhJj0FexI93Z8VPS9ePT1BrlA9GV5LPUYyTD0xxlk9t49dPe3NRz3230g9TudhPTMBdj0POYY9P8yYPeifnj0yMZg9qr2XPQBuiz3P+ZE9kQidPeNTmD2Ih4w96MmDPbqPhD2rwoc9uy2TPZVUlj24m5c9rb6bPSddnj3y/ZY9TdyhPV8Bnz07DIs9H3iWPSSgoD28U6k9b/ClPc9ylz3q0449aDmRPSIYkD0t8YU9QUJ4Pc1Uej1Aw4E9nyaPPaUjlT0BPJU9Bk2NPTNKjT2FSXw9rMZ3PbuObj1WQ189mAdiPfzgaj3bsXk9naCCPVxAiT3IbJw96LqUPUGqiT3nEHc99ZFpPYjHaT1x2HA9AZZzPXQGgz1UbIE9RE+FPeOehT3GQms942lePQ5EZT0YFng9AKGAPTMoiT00u5g9bV6gPfrulj3xNIg9jKKAPaIhjz2J0Z09dgahPUvsoD0IrJI9t3SNPY5AkD2yOY09MoSOPXXUkD3z1Y49IMSJPQT/kj1W9HY9Fo5gPWW6az1gjWM9yFtZPbCTej1hbYo9v6eFPfJQfT1bwoM9MdeCPSt9eD2AAYA9ntSFPWZ4hD18wnk96TN3PVSwZz3/2nI9qxeOPRH+iz0Mko09zPCFPcwliT1kMYw9hqiJPTafiT19j3c9spNkPc+1ZT3MCGY9lj1kPbXsbj1IMHE9DMVyPe+9gD2A4Xw9+aB5PdOvej2RR3U9PSlwPWwAYz1jt109M2pLPdIpSj0AaFo9Sl1gPfXYYD1fNog9WvSJPYXziT3/rYU9nad/Pd57gz1zjYA91CaBPfaxfz3JwoA9qp94PU4JiD3/I4s9WSCOPbDagT3kiIs9VVyEPanChT1eZIo93A2TPYfakD3yE4g99bOQPQOxjj3kNJA9+3SYPTlOmj1Wt5k9xCGXPVX0pD0x1ZY9nICLPXiQjj3mLYk90/6TPZk8lT2UFoc9wVCTPe7IjD34uZY9MAyZPQxHmz1BXqE9HbSmPd5inz2ixZ49KROYPcTbkj0uqZs9E1OzPYesqT0Ba6E9PH6bPTauoD1SDaM9lxKqPeA1oz2KSK89Kp6oPcBOqj3A1Kc91EOjPeW3qT1j5qI9JX+fPdsZrD2c+q09WVybPYqKnD0ZV6U9toeaPay0mD0zJJ09fDeaPeffoD2Ks549BSqePe65lT3Tt5c94+aePRQUpT2o0549ybKdPQ+Zqz3Ykrs97KS7PbV9rz2BgqA9uEqZPcU2qj0kHaY9xpykPW+loT3ZoZQ91UCcPcsprz2PqLY94m6sPeN5pj071po9cjuqPQLinz0vuZc9khibPSynpj3Laa89OUqnPSZguD2nXL8986+1PcMfwz1d29Y9o3XWPRfwtT3W6J89jRyNPacThz2rKIM9FWmCPVfWiz3KJ5A95wiJPXhliD1HFZM9PxKgPRFApD1Pk5c9DJe0PeJbvz0Odqc9XSSbPcKwlT1/85c9vZaNPbgNiT1olIQ9vbJ7PV7Paz28ZXM9eZd9PSi7hz0yT5E9IveOPbRTiD1R+nY9YS9rPe6DfT0Dxos9dxaRPX52hj3rHIo9MMOSPYYulT3mE4093tyIPU1pjj0Y5o49ZXyOPc5Zij1J/489e0qFPbt2iD2JuIk9EcOYPY3tqD1NdJA9/peKPUmTmz03yKY9DLutPY73vj1MMLo9O/K0PdYovD2jY5095KCKPTk9jD2ObIo9MYaLPT0CjD1ihIU95NyIPetaiD0/I3w93P99PRHvez22z4w9rymWPf6YlT0CM4w9UzuFPUqygj2spHk9h4h5PQG+gz3KYY09sqd4PV9acD0v94E9qjuSPfcklD0/Koc93VZzPfhEgz0tP4Y9zRmAPbHEeD3S0X09+/SEPUrQjD2BIog9K8d6PdyAaD0uCW09oqt8PSHXhT02DnM9lIl3PRcqZT1IkV09psJJPRXZNj0dQi09TbwxPclDNz3c9iU9w84gPQCbLz2neT49kMtQPTkvZD0l0nE9pMJ1PSvbbT1zW3g9VW50PYCzUj3wKTg9OUcrPfLjJj2fvD09X8pGPWMFOD0HCCw9mFUVPWVLGj1/aSY9oistPVY9Ij0Eu/o84jnLPBRGwDzMBLo8XIytPO0/yjzD9ss8vGG1PFLLsjz0GLs8YLitPObCpDzXo7I8NCm+PA2wuDzBfr08bCy+PLDgvDwnArY8vcGsPE/XrjwjzrM8ELmsPJlItTx95bg8dJe5PKthvjwAMNg8Ri/KPBxIuDz3a8c8ZvbWPJUwuzxzEsg8RnPXPBbL8DyDKeg8OKTaPJhyKj0BCy09kCHkPAZm0TxdqN48A+8OPdt+jz2Lpgs+SUE6PuwKQz6INh0+I00jPn2AHj4IDRU+sNAgPgeMLT4fhSI+gbYoPmN8ND5ADi0+XRIoPqIMIz400zI+kmk1PrOHID6UOCQ+W9YmPrciKD4anh8+LbQcPqBuHz4M4x0+SvIcPiyvET6TKRs+mcYiPvuiKD4X+h8+wiMcPulUOz58dVo+1PUmPmobIz6WajE+15U2PqTvLz7jJS4+SuFNPstJQD7dLhg+TRk3Pt/fLT6PRxQ+R5o6PhfRST70pCY+jE8VPuSyGD6kSSE+qEMiPjuDND6T5Dw+Xe9BPjfaNj4++jc+Iz87Piy7RD7/BS4+YCsjPjwJKj4b2TE+Ej8vPsTQLD5eelU+rsdZPqFKPz5+jU0+7pxGPoZWLD5IUoE+EFN+PmcRNj5zvi8+RZ4+Ppv4MD6sKSY+5HksPlH+MD5cMTc+sugrPrMQHD4SQyw+yDY8PgkKLz6a9Ck+xPowPov/OD5oRjk+Zpo5Pih5ZT6z/XQ+PGBxPhhqdT7SyC8+P3skPkA6OT4JGFk+Xt4kPjoTKz77iyo+ppAiPrugNj4umS8+TGclPrj6LT5jgD0+0aNTPsKeMz6tdDI+2Wg1Po3DRj5fr0k+mJ9QPkQ0Ij5S/BQ+fbMmPg3pKj68pTU+zuUrPvszHD7ZIiQ+lp4oPr72MT6B4yA+MasgPq2OIT5xXjw+o5dLPm3dKj5mYB8+yXInPqW+KT6i9Cc+nhErPqlIKD5g5TI+MEs0Pq2oMj4fTyo+VxctPrG5Lz5KZ0c+j7w1PluLIz4+4iw+Yl4LPk+0ID5h7iw+jj0tPsjULD4WyBk+6+AePlI8MD6HVzo+XXMdPqrJKT5ZCi4+eN8oPvlOQj4uaU8+Gc1SPh0cMz6Rixo+wSQyPmLSPz5TYy8+kIcjPo2XHD5AXCg+k9omPpCiJD4lVSA+42YIPhFSEz49bhE+mPYXPp70Ij6dZBw+ZQwXPrwqGj5ZlQs+USoMPnhAMT7NjBs+/6QrPidlMz7wyVg+JzZHPme2VT5ZZzI+b6MzPuMPNj4pNyI+31whPrzFKj6R7SU+hSo7PgHXTz4BEEo+Myg3PpocMD6OIVE+eAM+PgBkOD4SBjk+xCJwPmmJbz5ahDc+aixGPubIXD4zYGk+Ae5nPsQSYz6sDYE+LxFlPjrDXT5opFs+plQ3PgoTOT4ZlTc++7J4PlncRz73Gyw+qsxLPbZOOT2H8UM9LLpCPdtvQz25sEk9r/VWPYxNXj3MtFw9n6hpPe2vcz2SupI9wZCWPe8+hD34Ln89vWWAPW5Sbz1rXHc9vjxjPfFMQT3ElTY9geIkPayjKD0AZDk9ptozPZVeMj2GpyQ9k3MdPZi1Ij3ydh49WKYpPcEaSj1iMWk9DNJ5Pdt8jT111Jo9qpasPb6QvD0Fzbs9pEuzPXSqoz3UZ5o9ytSPPTO6lD1/fo491fZ7PbFjbz09jYE9jduNPaFxqD178KE9eMSWPRMYnT29RKE9mlCqPVkcrj1FOpU9Ho6XPclqoT1NIaM9fu+ePZiBnj0AOJg9MeKUPeIejj2WcIA9glF3PQ9Iez0D2ng96XSHPSh1jz3JPo89PG2CPf1XaT2e41o9P6BbPX6/Zj3Ptmc9BfqCPdE7iT2NOoQ9LHGJPScmkD0L/og9GKZ4PeI7bj1zblI9FoVSPWyrdj2hYIc9u6yKPUcTgz3tiIE9XgRvPfKLXD3tSVw9fzdfPSn6dz3nw4U9CVGJPdMIkT1LkZI9gTqGPe3SZT3GtWQ9cjp6PSc4jD3vI5c9D2CePW+UkT1pLpA9XlaAPdU1dj11x5E9ZkehPRddnD3IbJM9MFaSPSCMij25wmQ9lthpPQD4cz38uGw9OVN3PfCDZz2JbHM9ToZzPXeGdz1fLow9W/iOPa88gD0Z3YQ9QwZwPXxGWj37Zls91QFqPeqQbz2OcIo9lgqVPX8FkD2YdII9EdB2PQRfhj0h5Xo9K3ViPczeXz2JPWU9LfZxPTR3bz3CYnA9ydiBPX7DgT1aDHQ9vXhxPXtQhT0gJII9JedtPQI0VD18HFY946FkPUCGgT0GA3493mdEPascPz2pPk09h4xQPValez2qDIo9j6FwPbgQTj2WsG89M5KUPc64jD2kqYI9roiKPbAHYj0CHVs9y1FwPaw8hD3Rh4g9Y+qVPU+6iT256aQ9xPqzPXKzlD2Mr4E9j2aEPaGJeT0vnos9gkKcPQW/pT2yypU98jqNPWQmkD2BJI89+A2MPRjpmj2GiZY95jCPPUqOkj1EjI09vLmVPc8bkT0//Ys9oXWQPaP8kz2mRJQ9JV6iPVjisD3rQ609zSCqPWRJpD0TjKI9ovSnPf0CnT3wAaQ9Yc+uPcrApT1b1qM9uKafPfWTnD3T6qA9JEeePSuJnT1N3Ko9q+CpPdwXqT1r1ao9oCumPSYwnj3sVp49cNKXPVPLjj0ZpJ09TF6fPRJloD0PaaE9HzSXPSOcnj1xs6E961qlPUK1sD2457E9Y5yoPRKjpj2OgKA9VxWjPUQOoD3/i5s9icScPXExoj2Q2qg97Su3Pdzerz3ToKU9mLexPXaiqz1ANrA9J/+tPeDYsT1GFrI9O2q4Pajpxz3xHbU9YPeVPTTylT2j46w9KiO5PYicqD3wl5Q97mCrPVbJvz3QQ8M9qLi0PR2Wrz214bE91ZCmPZ1gtT17X7c9eyjIPbzCrz3TKKQ9+YiNPQnvfz3C3II9CQKCPWzIiD0S+pE9HOaMPaCqmD04UJQ9KIKlPR3Tuj1DGrQ93MOoPSpBqT3CpqM9Ia2ZPWh4kz2PEYc9wBqHPSwbiT3gqYc9J6N1PdxXdT2oiX49GaOCPQsOiD0hTYI9772HPa3RjD1lQIY9epuIPYRxij11pIc9IxyRPQc0ij3B14s9KGmKPUrilj3CdJ893NWSPfmFiz347Hs997J4PRrihz2t+IQ9CmGCPf47lz24spY9dRGPPQD4mz2r+qY9zN6ZPVhGoD030q098Ua2PYJPsz3Lwr49i4GqPWTEnj0pUZA9O0Z/PYVmfD3kK4A9ykqJPXg+iD3oOHk9IFp7PaFRij2NqYo9GieDPRL9fz1SQn495Rl4PTF8hj382Yg9/+eDPQJ1fj09FIc9D/iHPez6cT2GQnk9Sq2GPbGSkT20fpY94kOZPV1chj0Prnk9cryAPS6ahD1KCYM9NA+APSq3iz1bp4I9YbRzPatChD2lkn09QIxfPXacaT1myno9X1aPPa5liD1EGXk9XfVvPfwHZD3Kx1U9Bzw2PdiMMD2Fziw9t8QuPaofJD292x49uWIbPQRKOT3jDFU9ZxRePbDiXT0SH209gKCNPaUdkj1e01c9KrNAPb//OD3U0Cg9mvo/PYTNVj2rJ1Q926BGPWvQPj1YySA935QIPRUbCD1VDAY9dqzpPA/Q3jx5Isk8Kx6+PKYqszz+ma887ZmpPCdJrjxFcbY8fQGtPFa+qTxm2K08SmWePPh7oTw8CZY8YhqmPNGWqzy9pK88Lt6sPOH+oTxxOp08NfSpPPCvzTy4+wM9zJvMPMBNsjw6EKk8WKCxPLKtvjxOj8k8S1nRPNMmyzxISNs8sfHFPIIetDyD97w8U6rMPKnFyzxzps489wKvPIu0uDwchcA8H1LdPNxdFD0WqVI9+tdJPdShhD208h8+LxdCPrBzOj6eBCM+wS0aPv1iHT51eho+fj4VPvOQFz4abxk+FnArPoa1MT5nITE+31kdPrrXFz7A+CE+BkkjPh7+Cz6iLBM+pB4lPgOxJz59byA+QlUhPrxTIz5ZFSU+bycfPuRgFz6ZkR4+5kgtPgCkJj6ccAY+KmEUPvwIQD6vTjM+9y41PtFcSj5p2h4+TuEyPsvIIz5wZis+7gI5Pq0AJD7PACw+hLYrPsteFz4kJyY+Gx0wPvaqMz62+CQ+1ggiPuwcKT4LCCw+DI81PszoXT6DOnw+SN+EPkSDaz7VcCU+3/g7PkENST7ztzY+OQ0hPmDQKj4UlDM+xBpAPg7+Rz5WgTY+o7pmPrJZUz4Rclk+H6kyPoRTKT6EoEc+gKFgPqo+WT5TVEc+E2w9PhIrMz79Vio+p68lPiQoJD6Cij8+KgEpPsz3GD6qpik+GY44PmbwQD6aT0Q+NLVOPgJPZT6Jc3k+/+ZsPo3KYz6moFU+9vVKPtL8UT6Wqik+PqQ4PmSdKz4H4EM+LIcoPiOsJD7NnSE+6eMvPoyxRD6a1jY+7tdIPuSxPD6fiCk+i/RFPkUySj5ljSA+mAE2PrAqTT7c3Uo+BNIwPjH0Kz6VejY+6gQ6PiAhPT71eTM+FxU1PiFXNj4+mzU+gtAmPjnjMz7nNS4+f78mPj8eJj5XHzo+sOxmPnOoOD7hzho+KaEQPrk8Fj4+lC4+umk0PkvULD4S1iY+b2QlPq0BLT7dVzc+oepFPj3LIz7YQCQ+4Fk0PndNKD7wAx0+UeATPqKgLz7oukg+UkUaPhEZEz6QnCM+ewUiPou5Iz49fio++4ErPpzFKz6nmEM+hAI4PmvLQD7MFlo+O39nPieyQz4QLDQ+W0tOPuogKT4wN/89E+YlPlfoND4cqzk+rIRGPpvIRT4l7yg+ijwNPj74KD4kQS8+Lm4yPuLMIj7AbBc+kEoiPrM/ET5m8Ag+8kcgPtdyLz7Z4C0+L/wxPlXWLD4k1lY+/ANjPiZKdD6BI2o+r5k8PtXpET599Aw+F5cVPvPmID5JnRA+fUojPj2XNj5VA0M+v2dBPsfdVD5FhlI+5adfPkNPaj6A10o+wiFGPiHXXT43zWM+lHtYPlQzRT5Nojw+xdBAPqyCND627Tw+1sEmPk5jIz7Qcik+GfEvPswDKD6sHTk+F3FuPt2Hgz7zlnY+JUJAPY91ND1S2UE93NdCPa2dQT191lo9DfdaPW/yZz27CoM9o76FPYWVdj3PSIM9j4RiPUiGZD2hIXU9jk+FPS5TeT0ROW49bw9wPWvVQz3noD89m4lBPelYPz0sdjU9zAUfPZFsDj3iMQQ9iEMOPS2NJD3NhzI9IB1KPSkabj2X8IQ9lAKCPRgsiT0b+ZY9DMisPQaW0D19XN49tt+/PdTrjT1aPoM9WL2HPaFBlT0+jZk934eUPVmIij11KIo9mfOEPcD7kj1t+5s9SdOZPa5roj0VH6A9bBGTPbhdkD30bJ49ymOdPV5Fqj2UGK49PdGlParxpD0FV5I95RqZPX6ymT0VSYM90Zp5PTYFjT316YU9IoV4Pa1ecD1Ac3w9A4uCPf/oaD2QlWY9xchwPYEXgj06YIA915qBPfAJhz3f/3k9/Od/PZdodD2wm2g9aGaDPWCghz1BI4g9F9qBPdvqjj3cEpI9tYCQPaejgz3zGGc9Bk9aPZKrVD2bEWU9zHh5Pdsuhj3SWH89g6qLPSOJij0xI5M922B5PXowej12MYE9A8CBPfYQkT2yNaI9XuKUPb4fhz1TUIQ9BdiJPd3WjT27ppw9bj24PbVftT21A5I98RWHPcEbaz3droA9CaeNPQ+2iD20+4Q9vhaGPcCYaz2MdW09ILV/PZXzkT2Si4o9daCJPQwKhz1r1YE9AcZWPRNzUz1CoGk99H6BPf6Ojj3YV5891/qrPVCenD3AX4o97cRuPVFHWT2FZmQ9IINzPVJqhj2EzYA9dOyKPQieiD0YCZA9BAGXPYkWiD31QoI9hvh4PeNDdz0jI2w9NM5gPZkkYz0rh3U9D0SXPVVIlT3t+oo9j3KAPQx3bz1uuH49ISd1PTiQbT1poXE9/Yd8PSN/cj2/p4U9mayXPeHuiT16gW49Vq1pPRhDdz20fH89TxiEPaw1fz3CYYM9MzSQPeO0mj0KWZs9ptGHPf6eij0LU4o9R0yLPSnekj2iG5I9wdGMPVqhjD00zYw9Rsx/PVk3hz08L4U9Ci+EPWsHkz00NqI9/GqaPcuLkD3RRpw924elPRRfmD26uYk9r4OIPY0hhz1wIY4911KcPSmOoz0R55w9dA2fPawZlT2B0qA9XjalPU/vnj307Jw92R6qPQltoT12E6M9ziCkPahMlz2/tqA9DjudPcagmj3+JaI9nWGVPcWalD3Q7J49PRWjPQkroT29vp093HeYPfl1mj1G5Jc9cU2dPTOunz2I3pE9TtSbPYsapT1ajqs9zwShPYoTsz2CwcM9BQO/Pa3VtT1bJ7E9ijupPcERpz2kdpk9hICePV9TpD1ADq89TerKPb6YwD1h0sA9E0i7PSJaqT3yoKU9VhuqPXUvrD0J/rQ9qEK4PVkOvz3MIrI9JIShPYgopT0Dta09J9KpPTjwrT2b2Z09UIaiPbTHnz0SY6Q9bTGlPfuxsT0lYbc9KiGiPaq5nz3Z5pw9aRGhPdYjoz2f1Y89VsmAPc8ehD2kHY89R/aNPbvxkz0qSJA9WWeUPfHnqj0J3aI908qmPSCPuj3gQag9y1iSPf9ClD0GwJc99m+TPZWYkD3nIoo9OTuXPTWwkj3Qv5A9/cKNPRBzjj3pWJQ9K8mCPT0ciD33log9k0SNPd/6ez0SsHQ9R6WVPcwhoz0Awps9aiiVPaqdmz0TJ549gTufPVBsnT0ftp89xCuaPae5jT1BnYA9Gv1xPQl3gj2iO4k9e7WNPWv+lD17kKs9kziqPcnKqT2gLLE96DuoPYNzqD15cao9VqmxPYpDqj3W1509lV6RPYmnhz0sDIg9t76OPUElgD2u13o9YgJ5Pb3Ndj3834Q9HcaLPUbygT27MX494LKGPXyhbT38qFg9nu9ePRiCcT23fnc9BDyCPV9pfj0ZYYQ94HyOPVv8kj3s1JU9w6+UPfdEoj1RPZw9rduKPe+Wfj1n6YU9q2GHPe7Egj2w0oU9oFyJPX+3kz07g4g9rQKBPSTLcj0RQGU9OxlrPZ1zhz28/Yo9hoiIPROKhT3OZoA9x9FpPW8cVD3kYUg92hQ4Pd2HNT2dujE9yfsqPatTJT2F1jE9oBVCPU0zRj2wa0g9+wE7PVH8ST2bXGU9aJdbPUt0RT3gBDc9E8otPSQoKD1MICU9rY5EPaCESD3P0kE99rUsPeT8FD3/ERA9wscAPZeNxzxSXbc8BrSoPJYRpjx9G6o8KDG0PEMbwDyZiro8P2q2PHbgszzTBbA8FyKxPBi7ujw6XLY8D82mPNMWpjzus508oo+YPIMToTzeVbg8z3u4PDpJrjwfGp48UqqoPP/otjygObs8DpSzPB0KuTzAE7481+ykPJeatjzFQMA81a23PFFfyDxbL8Q88xy9PELbszyi1bE80Ga8PHdiujwK/b88p4+zPKkBrjwJtbo8HHLRPLRWGj13gYU9gWK1PfF2Kj4bXEs+lmAwPuWQIT5C8h8+uL4RPnvBCj6yIQI+hdYAPq6rJT4N1ic+A3ktPvtSJT6Q4iI+X2EiPnFgHz6Ufxk+xdIaPvVwIz5BPyA+Z6kfPtJXJT5MSBo+DuwUPtXbGz7BiRs+S4cZPtCYDT4ZjRY+fowkPniCIz5Gwwk+wXUqPvudXz4OYEk+qqcoPnpRaD6Ha30+J+UlPvUTFT7d8yM+dEYvPjuIKj7FDis+XJ0zPho+Oj5KsD8+AipfPgWEOT5pmig+KNonPjzVJj4pDyU+WnIoPkoXOD5+X2I+CgR0PumNXz5BrlQ+prhGPoLrNT5LcSQ+nqgfPnPLKz6vxTE+zedBPp2nQz6FzTE+tDE0Pj1YWz4u40o+mDsdPsZKID55IRs+GMgqPkOMRj6hrTI+lclJPkvGST7awz4+PmlsPvQyYj5vxj8+5ihIPg6tQT7zwUI+IadEPqIZRz6JsVg+ukhuPgNEiD5DkZQ+Qd92PqIsOj4/Ijg+YfI7PlT7MD5VHiA+lEkyPhWpNz5ZEjo+QQw1PiAzMz6dNCs+8Jc1PpQ/YD7MZTQ+AmooPn71Kj6g9TE+QuZLPtaLLz4HcCQ+6S87Pn3AUz6wako+FMgaPit7JD5LWkE+9ttQPkeRPT5MzSE+l1YkPvZSMD6n+Dw+1TEwPj7EMD5WMzo+5No1PhcmID4CEUc+of1CPt5UKz7lAyI+zEInPjCVJj5t7yo+QYYpPllOKT7lFDE+g2IwPt+9KT7VHDY+n/I6PkR6Rj69/lw+AaxZPjeLNz4fPzU+0GFPPghHUj44E0g+eKoxPjBICj54DDE+QD5OPphlTD60zDY+9N00PqYHGj4hMTI+IVcoPlTuGT4k8kU+J1RTPoMuNT5Wuyk+yvovPsKdMD6/wRA+BLwmPo4sMj4/bCE+zc01Pi3lQD7Q9ic+2lEtPhUnMj4aaEI+A3w+PilhFj5PyyA+EBAvPs7kHD6X+ic+IaYnPp5ZGz7+0B4+OGAcPtgiGz45ff091B0QPod5kz51DHk+CsstPgmeDj5zMBg+C6ogPkUeJT60XCE+OywjPq+UGD4KASc+G21APh5XXz4rfE4+CwZDPpLJVj5n4kc+NtNGPreVVj7j2Vc+liJCPsxjQT4T2EI+vfI1PnB7Pz6mekE+tUZGPrghLT69kzE+RJlPPiwzJT5YoT8+uQdVPoXzTD6Spkk+rEhDPbTMSz2J4kI9iXJGPRk+XT35mmw9eCFtPYIegD2F1n49ozRhPeMdVz343Gw9OwNxPc28fT0xv3Q9nM9pPdYHVj344Eg9e/hCPVVPOz3X9Sg9M0cpPSwnKz2iVh49lHkNPY65Bz2OEwk95X4DPXtsKz1c00k9nCBIPW7+Uz0WNXY9oN+GPaDXiz1napU9grC+PYB/zT2rf6s9loOTPejbeT3UpoI9gXV/PSh8gj0dPos9/vKGPQMXkT1IJ6k9y2+pPVC8qD1ZKp49SFGVPfUqij2Ryog9JH2QPb/zlT2Vs5w9caGqPe5grz2wW6E9TnucPQl/nz1k+JY9fbCYPQ3Jhz3rnJE9X5eYPUkzjz3FZoA98AFiPST1Yj3CcXI9sAlmPXz3ZT0DW2k9pKOAPZWJjD2LaHk9+NNnPWJSaz3peIQ9wD6MPXcDcj3SEIA9xIRzPZc/cz2b6Xs9RFVyPU+udz2j52499Ch8Pe29eD2J4mk9wrtgPVoScT0isoU9nMeCPYrYiD3Jj449cDKLPRRPiD1hSXY9TsJhPTIBZz07hIQ9nkqIPU/Wlj0u/J89j1SlPSqKmD20tZE9BxWIPWQ6nD1RlK89/Q6pPYTllj0yFII9MiSCPYydej0s/YE9QueOPQOMkj16PYA99I12PdWyaj2eFGg9fnyCPcBkjD3rnHk9Tn96PamMcj3itlg9GXxXPQp5aj1CyXs9DnSWPblOlD0ufIQ9gCtaPZ1wVD1IF1M9fghjPUygcD0Vq4I923yIPRwFej06yHw9RoGRPYlNnz3qdKM9n7GmPYSziz0bdYM9ztV/PcKWZj3Vkms9dEhxPVwmbD1Id289/9tpPX33ej0nC2o9UIZlPcducz307H09QB94PUT3gD1BW4U9P16IPevSkT3PsZg99QybPWVJeT1dTXY9J55gPYWFYj1ORGo9Jgd2PV5ohT1LyIs9Mb+dPVcbnj089Zs9RHmRPcLVlz0gZJM90G+dPVxmmz1ZtpY98s6bPcs6mT1yA4M9sGhxPd9khz2hOJs9mK+YPcO1lz3SK6M90gacPcQ3lz0EEZw9hl6OPSDqjz3Suog9A/+HPRMmkz3OEJ09p/WUPZCMpj0M76Q9y2SiPWrYmD3VhZE9TYibPfv6oD1tEZ09lFCfPfp4mj1hTJs9/4GrPTOxpj2vz6Y9OueXPRGamT35mKE9LPejPS20pj20cq09OfSdPSvImT27qKc91uSoPWgJqj0oPLk9tji+PSsTsD2Yrp09Pz2YPf78pz1lRJQ9HTyNPendnz0dtaI9VTKqPVDRrT0vh689pXq2PQmtsz25lac9/82mPfaDtT3WUbo9/ZyxPdbFtD10mcI9B6K/PbLdsD3TDqk9t+2nPZ6Wqz0SD7E9dAmmPdhsoj3GqKA9Ie2YPfdAnj2upKc9UQGwPej1rj1xh5k9GCmSPdPHnD3ZzbU9mDazPZDIpD1kmLI9bFOgPclIjj1hFJY9g+6ZPUK6kj1F0ZA9goeIPSQZiz1x1pk9EfWhPY92nj32Wak9JgqsPXMeoj0OPqM9a4OkPVBRmD3YEpA95K6OPRiEiz1WFo09vAyTPUSrnT2YXaQ9mLKiPRWCmD0+FZ49aWGkPf1JoT2J1p89PyiVPeMtiD3pfIw9hHyNPUC9hz2fqo89M1+lPRndoT0kupM9tv+QPffHkT12TZA9a2SbPW+Cij2wwIM9swyHPYzpgT3ViIQ9qoiBPbPJgT1Pb3o9VEqNPZC8mD262aM9OZWqPW+Iuz0NyrE9EYCnPUwdij2S/Jk9cKmgPXLilD0V/449heOSPUAjiD0VOG49VfVgPe4naD3qUIQ9k2yNPdvGjD0kAYk9gbJzPQFlez0In3o90OJWPeQeYD2M+HA9aRJzPQjbhD1GDI49oTaOPc+Fjj1XMaA9h+WePb+TmT3oc5A9v4eIPYcMhj2pnYk9OByIPZXrgz3sY389XtxwPU+TiT0o/5A9T4GEPTh/jT3I43o9xHx7PWzuiz1OPow9HRCTPbbpnT3ztJE9m0GAPZp+Zz2FJFc9Em5MPTSrOT18QzI90VsxPfheQz1upVA9Lz5DPaTjQT2u7k89uHw9PfZfKj0I+yg9nV8qPT7/Mj1PtTQ9JK8nPbaDKz2Jayo9Wq0qPQkGMT3ptUU9XblRPbFrUj2eEDo9TDsuPXCzIz0VexA9kgD2PBGOvDxCfK48hdalPHMhozzFsqg8aTCwPAhmwjyv07I8aDa5PL2XvjwLqLo8MeO1PCqEvjxVO6c8foevPKvSqDyo4Kw82gujPM0XrjynRNQ8eRLQPGbAuzx7bbY8u0epPHsRqzyxH6o89Qu9PHU5wTzfCcE8KL23PLj8vDwEfsM8Gd3DPDUhxjxEqcA8+qi4PHHZuTyKgcI89OPDPEUSyjz18bw848asPEmjsTwIn708QXjrPOHmNj1GQqQ9MhMbPta1RD5pmEM+ZDMTPkHWCD67aBo+SnoZPhgPGD6siRY+oZoZPsG0Iz5gxyE+wRsgPhijHj5Pzxs+5W8aPmqIGj5roBQ+HnIbPuOkHD4hJQ8+i9oNPs5WDj45mws+N0gQPtmmEz4JYhI+IVYQPnZzCT5YOg0+f90iPmgOKT5DxT4+FQJSPiGHRD6uPyk+hYIFPmmALT5DKEk+Hb46Pk2ESj5JADs+tvw0Po2ZLz4VHTc+PCgzPmHqJD6B6yo++Bw0PoLQND5wSDo+fqkpPvZuLT4/RDE++8cpPtnsKj7kQyQ+Aa5MPvpqYz7VJWU+jmg4Pg4CIj6MoiI+CvwqPq7oKD4AHC8+zFQxPmpWKz5bA0g+JKofPjZGJj5pvTc+gaYnPmdUMT5NQCA+ZRA7PhJsTT6fbTw+tdBYPgQEUj7eU0U+Q2BFPm2WTz7NnVQ+45hHPoODUD7yyUs+DCF5PjfQqT6KWqs+7Ml5PqSRQj4iRT8+FgM+PuLAKT5AayU+bp8xPuJSTD4vzTc+JxYsPqWzMD4SrC8+aBkqPnjVKD7qsi8+ZjA7Pr8fKz6t/Rg+vvciPmhzGD4z4xg+VHEbPuOFMD7f7ik+w+w4Pjk5Zj6RJyg+MugWPlaZJz4qozI+h1kjPn8vIT4bThY+ZkQhPmscLD5iZCo+BucjPo+6IT4m3S0+0g41PoWaET7ByCk+jHwWPhnTED584zQ+jNhAPjjBUj728jQ+ACMdPrHCJD5/WS0+VP47Ph31SD49YFE+bhI/PrhXXj4xJ2w+xYo4PoN5Pz7paU4+8RBlPkZJWD5OlTc+WBQvPqClGz5nt08+MLFUPtx3Sj6iGTM+f48iPqSzET4F9yI+MHcxPsJZHT78lSo+K2M1Pse3Nj6eMjE+LxE+PiutPz4PlTg+Eg8+PpntND5XTy8+ERY4PlpGPT7kQy8+D7UjPoKuJD5bTic+Z8IsPiVMID5GGyg+vtAsPseCKT490x0+q3UjPjq3IT67ux0+CygTPtykEz5GrxA+gRQIPrn1Fj7aMRc+tLUTPn/LIz67tD0+HHI8PnZ6Iz5Y6SA+p/AjPq49Iz5ByiI+nx0wPoaaTz5ExmU+xVdoPiDlRT6sZB8+W+IyPpYiRz5PGTs+a3NOPjB1TD4OMls+Ai9UPu+qUT6kI0o+yTw0PqjDQj4J/UA+BgI1PsvlHz5emCo+mTxWPsMTMz4Er0Q+VryEPRZkcz3bXXE9V0lhPcjXdz1YOnU9LSBxPUtFgD1KImQ9OLFCPZKtSD0152w9U3J4PTNGZj1Wxkw9lMJSPfejQz2fM009ieZKPSaOVD30KFY9TgQ8PS1YJj1g3gk9lNcIPQqj/DxG+vM8rEkVPVlxNz0SP0g9TRZUPb5dWD2Vxm49nFWLPTUriz1QvZY9zRirPUDKlz1k6mI9Rd9YPfxbbT2ggXQ9Pqp2Pe1yiD28SY89o8WWPfLQrD0TyK09W/WlPSWqlT3diow9GIiSPcPDkD1ulZo9w0ihPQY+nD1kd6E97IifPVEziD3++YM9GtmEPe++hT1z0509wYqoPSsjjj3Xqn49PNeFPfkfgj3tFGw9DIdjPYLZaT1oIXc9ooV+PVZ+fD3ttoA9n/SGPdNYhz2/3IU9mamMPaRwlT1rA4s95qBoPQWzST1ZDlo9F+l1Pcjygz2PmIQ9iwZ4PQ3EcD3DCmw9YOxyPYD5jD1DpYs9A62LPQuTkT32KYo92SaPPaeYkj1vso497NWGPeJAcz1uX2M9UY97PYdihj0uA489Dy6EPYbAiD0NO6I9t5+wPaw0nz0h+ZU9s/GNPQU6lD07e6M92Z2QPdvZjD3Kg5A9zgKWPeOdij07fHE9oglsPTrwYT0xgnU9+s6EPb8ljz1OAZo9rbuePVfsiD1nanU9k3F9PeebcD2XoVc9ySBbPaFFZz1yuGs9ivR6PXFVgD12xmU97y9WPUD1XD1LXnU9p1yEPXXkgD1z4HM9XzN6PSKNgz0X55Y90U+kPXbMmD08O5M9XBOKPQi3dD3sTGM9xAlcPcHiej3Lo4o9bkSEPYKybT1BQ1o91CRePRfaez3EfnA9ZExhPVpfbD2/FW89uaNxPdmpfz0+EIQ9JTFtPZyUhT0kOIM9lT99PSSmbT2hAFs9WvNdPZ8fhD0cNYY93siCPReHkz1/55M9N6yNPa6Riz1pQoo9H5CLPUG7lz0Cbp097lCZPSkomj2rh6E9TZmWPfKbjD1LeYY9WzOEPfRHij2s9Y49WBCnPccxnz39aaU9CkqjPbZunT001J49T7WYPd9FkD0c3pE90AGePdDpmT1765I9w8uePfDloz3zM6Q9jPCpPTk5pj0g26g9JOCqPabQqj0Yu5g9q7uPPZ2ZlT1GgZc9vYGTPe5BrT19Nqc9SXWaPVTwoz1Uoa89UZy2PdfNqj13oq09AEe5PZ4wqj0xYK49fz2pPSJhrT0GELI9fwCyPVdWqD2MTqg9ApahPWLUkT2rHY49YNCgPQGLrD1HJ6Y9/uqoPa8hmz3wJ6U9Y7O2PVd2qj330ao9FOeqPbEysz3pS689HLuuPWhivz1S0Ms99miwPVH5nT1mjpM9B7qYPfmPnD1TJp09D3qdPSyMqT2XvK891Nu5Pbjkvz3fpb09EVOyPXHhqj0SxpM98XqcPR9Qpz0Ro589pt+VPRmZoD2PCK49biyiPVOnkD2O3589zhCUPcn7kT1ksYs91+GZPUpRnz0RYKI9GDGlPWMWmz3z9Z09sAOXPYgEkj3nlpI94zOYPQvykD3NoYs96cSQPRfPkz3sco499zKhPcU1sD3DW6o9VD6rPatCpD306p89b0SkPVPLkz3Zboo9zvqBPTg5hD1wR4M9PpWPPSeymT104ZU9I3yIPUuGiD2CNI49AIGGPY+fgj0uYYU9lImMPV8Cgz3dVnU9gyV3PdX1gD1afIo9dQWLPWZWgz29wJM9cn+cPcqTnj2K+Zg9yzahPdhnkT2DM5M9aFmPPdHFiT1V+JQ9HriZPSwYmD3VzpI9gSaCPWRVXT2SW1A9wCpJPS4ZWD0vxGQ9CYCCPRR5kD33kIk9tqlzPdAvYz3j8GQ90vlmPeSLez0AQ4493gGJPQCXkD0ZAps9SAKYPX2wjz3jQJQ9mIuUPSjdiT3Xv4s9QGSQPVV0nT2I+KE9de+IPYXRhT26Ko09NlmUPRrPjD3gE4A9E7CBPZP8bj3x+209gaaCPRedhz0OCo49G0SPPYg3gz02/nE9pGRQPbuLOz1GuS89RiUrPQcEJz2rdjE9ENRFPfjDWz30ZEk9IF1VPYNYSD0uvyM9nhYQPWLMID3MTig9cygoPQdfJj1U+is9NZA1PYBjQD14Z0E9pPREPdsHTj0HoVY9MeBePcLrXz0FmFY9nGYyPXaFGT3YQ+s8dRO8PJxDqDzr/qw8NNGbPNqEnzzo6qQ80QWpPKkivjxAFrs84CzBPIciujzjXbI8HfC0PD3WsTyuvKM8xkurPIAGpDzinpg8iMuvPJmOxDxgqL880D65PA1GwTxZKqc8ugetPOjtrzxvu6o8m0+5PMD2tjyC98c8AZrNPJJZrDypv8U8NxjhPAa60Dxag608V8+3PFCSwDxWH9k81j/OPAjszzz878w8tFDKPBVWET0Mx0E9f8JxPXB2uz0g/js+B8BXPql2Qj5fHxc+N9cZPiMjHz6Y+Bs+I8ESPp3BGj5k0R0+6nIdPsUWHD4/Wh0+RlMWPtHzIj70Fyc+4o8bPjQRET5hhgw+GbMcPnvmID6+yBM+bGUTPkW4Fz72ghA+/uQIPqbZBj6RjQ8+D0oAPihqDD64hh4+b14cPn0gIT7h2y8+V981PiKNPT7lISw+CmMVPkhAHD413DE++vg5PundSj7laUM+71gvPsUgJj4bhiU+GK8jPluyKT5pgyo+sbkjPpwmKD5CtCM+j2coPhP7LD5k5So+65MxPsMCJj6AjiI+mCogPvl+ID6etiI+YPwdPrZnKT5e5io+CWEvPjIvLD6leSc+TBoePnAmLD6tQys+emc8PnH3Kj4NeiI+HNkoPg1jGT4R8CM+d20/PvriMD77SCY+AKYzPtNIKT6Ehy4+qjgtPuwDSD656oc+uMR7Pp5uXD66VVg+TQyHPojAiD7fQWc+uF44Pgu+Nj5qADQ+Ml00PoAYMz4w1zQ+2Gs+PkVkPD5ejEU+hupOPs8uMT5ZVCo+9zkoPuKhLz6V4zU+ef8pProANT6ENjA+cTIoPtMGKj5sfiY+SfojPmdoMD74RDs+4mM5PuW0QD77CSQ+tGIdPrLzLz7lRSM+cmotPlhoKT7Spxs+4WwVPhhBJD7FrC8+ZKkcPvQdGD6Ofhk+GuElPhOCLj7jqiM+oaERPmRFEz6IQCw+0dM8Pq4HPT4FLzM+h6YnPvkCFj7MvxU+MVYoPmgTST79fk4+5S9KPvU0ZT4kOV0+nAxFPnJGLz4T7Cg+1/1MPgRQPj7VaEg+vHpZPgAUQz7XE1I+TEJuPkXTUD6hYEE+cdgQPn7iCD5YpCk+bt8rPkzkMz5sUjw+K30tPlSbLD4MviU+H2ohPiwCOj5Ks0s+mbczPpR9TT40C1Q+YUs1PrXDQT7zsUs+ewQzPgn4Ej5v3ww+kwoRPrLnMj5WMig+pbMnPgNBKD5k+yA+64UaPuwxKD63Bik+qjYVPqBVEj4Ajxw+2JMePgXNHz7qcyw+4qUwPl51RD7Vj1c+tUxBPmVqLD5l5Sc+39AZPikVFz6Z2RM+DdknPjNpOT7rKzU+Aj1cPppPWD7LlR8+yd4kPrAPQj5+kT8+QPtOPnxrTT6zvzw+GcMxPhdDPD4zhEQ+iaFMPt5qWD7XdVw+pNA1Ps7JJz73cFE+QKNOPqKbMD5VSiw+Uup6PbH6aj3NEXg9hbeCPfqyfz2EaHU9NNeEPSlXhT39Sm09x9xXPc3taj0MUYM95CV8PdSxWD0Fr1A9yDhWPcIOSz2dlUk9We5dPeIfgD3XrXs9sOFFPTlIJD1NOR49IsUSPUZ0Az2a3xo9RQYxPWPWSz0YEGU9HkxmPWkbOT0+4TU9ca9nPYR8gj11TJU9F6eHPVKEWT0NoDY9D3pHPVKKVj22cG49tYiCPdU6kD0jEI49wymWPWZNmT0zcZc9Au2cPW9Inz29jJw9aWeXPQMElT1Kk6c9DZanPbvMrD2prJo9ub+BPQz5dD39s3A9moOPPQwhkj1xQ4Q9c8+EPaCriz0qp2s9l1hrPcp5bD1SCHQ9ptSCPWuFij2bK4Q9N0J9PZjraD3Timg9ExuGPe0kiT0k4Ik9+mV5PcN/eT1ZBII9bbNlPduibj0+rHk9gH52Pb/Zdj196Xo9kh1jPcIXZD0xBnA95GmHPaXFqT3Bxps9LpKbPX2Okj0bToc9U5aPPZabgj2X0no9T4V7PdqYhD2TKI89sY6OPWR/mD3Lp5Y9haaOPSd+mz3WhrI9F6uoPYg2iz1Ro4o9VlmMPY57kj1GaY89olSDPcNDhj1XS4g91AODPRPWcT0Tm3E9BdppPY8Mez33xIo90jWNPQTbnT2mu549tTySPSYefz1y32Q9sF9jPcRyUT2KhlI9oJZwPZV2eT1Runs9vPtjPRCJgD1gLnw9U1pjPV9jXz3kD2c9jIpnPSCWdT11YYw9oEqZPX5Vij3A5YI9/h98PXlgbz2hwWM9t2dXPfSqZT2Ep2I9KcVhPRyDcj3ANXw9gslsPZ5qaD12lIY9M4OIPfbRbD3sa2Q9L5BpPRFnhD2us4M9YItwPRkibT2YTIA9nZ95Pb2niD0ih4s9zIKFPdZOdD1E9mY9Eed4PfIClT3R/489sJOEPexGhD1GXIM9Hu6IPb6ykT37HZQ9M5KSPUj6mT2KfaE9zS+ZPZqXlT2u/ZE9YdaKPT+whT2kpYM91o6JPYDojj0SvY89hP+YPZfnkj3wX5g94/CVPRpGlj1ZvZo9nu6PPSn9kT0gxqc9nSmlPVcEnT0de6A99sqbPQranD121KU95Z+iPRrRoD1igJo9Rk+kPZR5oj3G2ZE9/RaUPcDVoj2N3qU9iQSaPf/Nmj1Ezas9EuzAPV6Itj2/L7c9YQa5PbSltT1xma096BW3PYvsrz0I06g9DnSaPeV0mz2cZas9GMS3PWR0qT2+1Zo9noCmPbaFqz1Whqk9e464PY01qz30SqI91JadPRgxpj0Jua89uiGyPeaQtz2T0a095ku1Pd/ytj3J77U919GvPUu/rz397rc9Ddi8Pdy5xj3krrE9vkOnPYcSoj1MX589SuikPaRcnT2KN609SLKpPThHsj3dl589IZ2uPW8zsj3YSKg95eCmPa96nj37Vp89pXmiPUG7oD3JCps9tKOSPQWjiz0YFIw9faiWPUI8mz3bGpU97kabPQeqpT2Bhqg94BKbPfZlmj1rpqQ9x4abPam7jD3ECIs9tuSGPZLMjj1V+Zg9iX6nPV1kqD3oUKQ9FR2tPXXRtz2tBq09q+KnPZQxpz24NKg97CKZPWzCkz0754893ryGPYTHjz00+ps9GSKoPdmhmD3hXZY9T+OOPXLlkz2HIoc9Q3p3PcJhgT31GG09hU5mPdKxcz0U2ns9aMeGPZXGlz0jIJs9pleTPZhSlD325Z89LtyhPfobkD179JE9LlCLPZPPfD0pNJM9uWibPePNkj1n15Y9CE6YPUIjlj3Bs4w9PtOAPUFEZT17iVw9vJY+Pf9hQj3QZ249Q6+PPbSyhj0/c3A9DGlgPTHWXz30Gmo9WleCPfKsjj0+gYs9G2GNPYW9kD1r6I09i62OPV7Xgz30SY49QmCSPVSEmz0evKQ9b5qcPQL1lj0oYpM97cx1PTaAbz3IjYA9cS6NPdy+gT3A/2Q9Z/RlPceBYj1gEWE9x/BgPdnIbD1Uyng9xBBrPTkiXj3OEk496z5PPeN6TD2sVU89Y15DPbUQNT0StjI9kqtAPR70VD0Z0FE9t0FDPXkrJz0HWC49I5QnPbzTGj3VQCc9NqUkPRZcJD3uBTQ91+lAPVYmPD2clDk9/e4wPdhMKj1FwSY9R4kdPUkEJT2mayE9LRofPfGMGj2icAI9JqfePFhnwjyUoas86C6uPKJIszxF+qU8P1u3PCJ2vjxScMg8fuq+PKcjtjwHb6s8xYChPD32qzxYhKU8Wne5PJZGrjxi5KM8bLe5PCuIsDwyi688YqfCPDfX0TxT36o82RO0PLdDtDzeo6480fevPJBCuTzs5qs8gxLPPN/CxDxanr08DS/SPL46xjwRf748NbO0PL1swDzf3Nk8FzHFPIN21Dzc2tY8QAT9PJXhHz3dZhs9dlQTPQN6FT3hOzw9pRZePbQU0D3DhiI+lFEkPuBKHT64gRo+YeoTPosLFT577RA+IYgNPrr4ET43Nxg+00MZPqmGJz523xE+groXPuCYFT66dw8+/vUKPtEYHT667Bw+ZYoePjLWID6Nxxk+35UQPrWHAT570Qk+CyMQPsVAHz7AmyM+TcQcPqUTIj5sJR8+id8KPrAmGj7NpyI+E8A6PiC0Lz5bXyw+IJY1PjHYPz5M3DQ+kqEePrZTET6mrB0+tUYQPvbSKD5moUM+nP8jPjTfKT5PATI+iF4rPq/LJD6TZiM+YtxHPtJlNj6FVUE+6QU0PpXeNj7JJy0+L5ElPgVnLD6RtzE+JXsrPkN7Lj5PHT8+jstMPpHwPj7N8iE+UZQ2PsLoRz7CwS4+PCAvPns9Lj7YHC0+1HMpPj9cOT4a1k4+jxxNPvSXOT41rzU+leQYPtVUFT6jxpA+kUezPguLWD6j/S0+KtInPukqIj6xKjA+YhofPiA1IT6agig+CWgtPjRAQT4rsDU+HSQ3Pi9XQT6sRzo+3wIpPm0UHD5+pSo+KdEyPjXoLz58Gz0+Gx8cPpnxJz5euTM+bmAmPtmHPz6EGUE+w1dKPvRYUT4S8jA+3oNEPucQPD6MMyw+n1M3Pgi1PT6R5C0+sdYcPhbYGT5SvCs+LVc2PkKkLD4+0DI+uvQmPtjrKD42OSg+7XslPlk1Hz76EyA+L20ePva3ID7J2yI+ZuEiPqqCIz5coSM+LAk0PvrqJz5jtxg+WsI0Pu/dMT4ooiI+y6IXPuIQIT5HYC8+EF46Pj2NTD48wj0+ZbY5PhFSNT6eSzg+QQQ4PjEnVz41nEk+Y4g+PihPKT4Qkk4+ZbAqPr+8Iz53w0s+375MPp6ZMD4DcDs+cP8yPj05Kz65Jh8+nYIdPuyNMT6sbkg+3RRBPmzrPT5l/Ew+ISA8PuvzLj7Bch4+HmIpPpEGKT7ljCQ+lbMSPtamET74hhw+snUpPg3sKz4gfzs+DM87PgcPMj7iEig+icojPuy/KT6fqCw+PC8uPh8NLT5OKyg+zrIvPio8RD6mVDU+M1ExPtyBIj4RYTU+kcYrPjhKGj4HIB4+KhgwPtasLT6NYCU+1ONFPrWpUz6LqUw+wNU/PqquST5Zz1U+Ti1VPrO0Tj7a3ic+6E4bPsFSRT6nOkw+75JzPk9zbz7z7D0+ib8/PsG/TD52a1U+F/Y2PgFyNj6KVz4+24puPU+zYT3aGns9RhSLPbXOlD1644I9JZmKPSdjdz0/Emg9k7NnPaDBdz0ypYg95F18PeRcVj11pEQ9QQhIPTZTWT2Dr4E9juaJPfwEez2mV2c9RIJKPUXAND39XyA9hzkePbpzOj3mJ0g9TH8+PTBnQD3UmD09WQNKPQ/vRj0oAEk9e0JTPYl0Xj3xmFA9KxcyPXNaOT0LYkg9xABdPXVXdz0sjH89v+iGPcjRgj2aJ4k97qGTPbYomT2yaZU9PpSjPdahqz0xD589gYqZPTXsjT0hH4094eSZPehikz0l03s9RzF+PWhacz0XqHU9NHl2PUx5ez0KJYo90xKPPXX7hT2Emmc9HwdkPY1qcz1yKIs9t8mZPQSBlj1GW3o996RmPcumXT1b9mM90ByDPdXSiT0e2Yk9M7B+PU9caj3bG3k9c9iHPRjkcz2Vpls9kK5iPYC+YT3lMXU9OWx8PcBmhj2YPpc97PyWPbT8lz1sDaU9RJuSPXxEgD0jC4A9ujyEPUyicj1h93E9oGuHPYSThz20iJA9HYOmPRn5pj3dXqE99RSaPQsFpj1xda498UWpPetVpj1el449NkGCPfd/hT2FkIc9gi6EPSbjiz19CYY9oYmCPbYnkz0fAIs9pBiOPRG+lD1Gxo099jmHPU05fD35FGg96TF0PZ1bhD1nI4I9u75uPZl7WT3zg149QC9pPVombT0DVW49mQ1gPWDegD1xtIs9C8SIPQhchj1pcYA9jj10PcCFhz2dgIk9l4F1PThnXD3IJmE9441wPdphez3uY2M9woRSPaDcUj0Qq2I9zl5cPSUzbT2opns9nTp/PcU1gz2VN3w9Dc2APQEPdz3eUWc9z1FrPc+Vej0ZonE9YeBpPWPIeD2DpYE9Y1aGPZV9gj1sen09xxFuPahnYD3QlW89bpF5PdeujT38XIM9aZaDPRjLgD0sdXo96ER7PVpZgD3djIs94T6WPRcFkj3sCpY9cHSSPWXgmj1DO6I9RiusPfOFmT2X55Q9eNaaPU05kz18u4c9D0KRPbZ8nT2HBaQ9ZgmfPejkmD1qlpQ957+UPV0kiz07Upk917SkPdFMoT0zLKc9yiKqPZZpmT3nnJE9PDyePfn8pj3KwKA9qh6oPRYgpD1a8ZQ9qv2WPX5amT3xF5o9nLOaPWxqoD18J7U9Cle0PcXvrD2yrqg9rOatPfM2tT088Kg9u9eqPUVDqD1KAaU9sMyZPUxYkz2GYpw9vMCmPVo8rD1CFaA9F1aaPavypz3x6rQ9DUe0PVsWpD3qv6M967+nPXdwrD1c7ag9DlysPQUJsz1ZxKs96mGwPc4grz3TkLg9CeW5PVOJwD19hbU9fWCiPT2Pqj2F6LU9QM2yPePVpj1yLp49FNCVPbLanT2DraM9q/+nPXLTqz18Uaw9IXKvPYKSrT0bjaA92pqfPZUpnT3kV5E9CECLPcoxkT0+G5M9kqOHPYAkhj0GJ4c9xY6LPb6jiD2F3Z09HuWwPUpBrj1fR7g96B2gPeBbmz2RP5s98ieUPdUlij1Mn4U94cSLPWlvmD0fqaw9EdbAPfauqT3TPZw9LK+kPXLUtT30kqk9UwSlPQsukD0FUJE9utOfPeWknj09lJ89DgCbPZmymT35+pM92kuHPWR3kT06BYc9ChGLPYgGnT1N3Ys9FLJ4PXxOcj0l6G09ImVzPbQIgD066IE96weJPT5kmT248Jk95LCTPYLHjj2xuZI9jliJPbWIjz0MO4U9d66IPVDwiz3QwY09Ny+ZPV1ZoT2iva09sXWwPUcYoD1WN4U93y9gPepVVD38BlU9eKhPPQe1aD2rH389Uz6CPeChdz0wU3M9jaR2PWjBbz2P7G894L57Pe7HiD1sfI894rWLPZMDhj37v4A9DfRvPae0dT06u409bdGePcS2lz2gZoI9z6BnPUE0ZT1tYk89a75IPX5uTD1U0Fo9xa9UPQ5eST0RAUw9fXZMPQnXVT2IXk89PjtfPdtaZj32i28936dePaZ7XT1Qw0k9J/BCPVO/Pz0l10U9FbU8PRCAPj3KclE90QpbPZUtXj0YGDw9tK4bPaZgFT1HayU93mEoPdwzID2QqCw9QGElPfF6Iz2OUTo9pfBFPVmaPD06hyQ9WIwYPSvbFz1o7A89KSgRPWtyGj3UMww9xdYhPaVdAD1DDME8TQy9PMcqwzx+Bqg81q2cPLu+tTzrE8E8NTDEPE/+yjzl/rg8jserPAHMsDw8Gqg88lqnPInMqzwBzJg8EhumPI+YszyOq608LLqwPBt+qTxJqq08fi6qPF+0tTzh47Q8Pzu5PAR8qzyR87A8gl22PDSnsTzc4qw8SIC3PLeQuDw57bI8Q0q0PDBZsTxyrsg8JEDPPBgK0jzeDgM9THDfPK2ZzTzsTd08mvbYPI8O9zyLJgE9Nt4SPewwJD3sxJc9H17UPbNR6T1A7/E9wbGePTjBwT2N1vg9fZcYPg/bHT7C6xw+LdwSPoxJED4AWxI+LR4dPokbFT7UCgs+m7QMPhYNEz5B1go+lqcFPpv9ET5mrg8+WgwUPpB1Gz61ISA+HesOPrY3DT6GURI+gXYZPgn0Hj6Trhs+udQXPgiBHD4H6hQ+jaUJPt8wKT6JeTQ+3OYqPtBKFD7N/SI+yewtPt/iQz4FOzY+hS8lPvxSCT69FSI+Wxg/PujhOz6oVC0+Z1kzPj53LD503j8+Jxg4Pjy5FD50tCg+JsA8PlwjOz7w00A+vuM8PtP5Sj6/oDI+ahc2Pn+qOD5uMy4+M+UgPlJbIT49szQ+eNA1Ph2+Pj63ODE+xdkkPrliLD4p+y8+kichPh4FLz7ytUo++LU/PhS0bT5waJM+Fpo2PmpFIz7jUxY+BpAePrF5HT5aAS4+V1JbPoRBOz5LRiE+GWY2PnU1NT5Dyyo+tDcaPijBLT6V4D0+04M0PqoZOz6vcj8+WBlDPnvKQz4WQEM++JE1PkdFJz4aICw+npEqPlV2Lz6NXSY+qu0ePm+yHz5u4xo+YRQxPjm6Tj5X+1o+Z6ZhPmBJRT4OTCE++qtsPhtfWz7ggCA+MV04Pi2PSz4r7UQ+53QzPgeyLj4Unj4+2BRtPupodD6o12o+N+w/PvziGz7kdQ8+9+oYPkj+FD7/DyY+y7IaPhOyJT7kZCU+9B0lPjPwIT4NBR4+d+QqPi96LD5ktSs+oKgqPhTgJj4M/BE+B3gUPoIMGj4mazE+S749PhoNPD67IDM+6zojPsSjJT5/cCo+lqo7PtcTTz42MDk+kWgcPs3DQD4Af3U+9Sg9PnCkJD5F9kY+cWRYPqBFPz6+sik+LD4aPrDnHT4hwBY+If8UPnsKHz6WxQ8+IqkjPlvNJD5CzRU+270cPhOwLz6K6yQ+Z1sbPjW0HD6GXiA+/mcqPhdbHD7f9RM+cFkmPqV/OT5nVjk+J6wuPnfjOj7MfS4+LYkuPpeJMD6KAzM+1c4rPmsRIz5kjh0+hgkmPk+bQj4+VVI+tIkkPhYfCD524sw94mblPZJfuj36vq89hecLPkalIj6qkRBAWYzEPw16Tz5ujmI+lKxNPiMzfj6p3X0+wXZgPqKvZz5c+T4+BB49PlPvdD55XjY+s/U9PoEtWT5nIlI+aCdjPqGPbD4b2kA+6bfvPSQClj3TQk09TEl7PQoRgj2EY4Q95HaEPZf6gz1Z+Gw9nFltPT0iZT041F09xJh/PSOqgz2/KX89AZR8Pb6WYD3E5G09bZloPZ2+Zz3q63A9uFlLPQHaLj0Bhys9WBAtPaUjPD3sElE9kQlHPXczWT23tFI9IXJBPfZWPD1Dzjw97sZNPbz+Wj0ZtEU9PjhGPfgnOj2vAjU9MqRAPd03WT3ELHg9EL51Pbk6bT33mVw91DtkPdl9eT0WX4E9aQyMPcYvkz257po9cAySPYD0iz0Wf389ioluPebkZz0XHYI93CeFPYKyiz1nk4k97w1+PVtkcz2l1WQ9iuJmPRRpbT2qe2g9Wv1sPSHKaD1y6m89f5JwPXKkbz2WiYQ9AjuHPZmvhT1Hr4I9RZ5zPd4Jcj1G7HY9uWyDPdkMcz0rknQ9I3N1PVBqeD2ynIM9MfV1PQfkWz0+31M94vtgPSaigT32XYs98hqMPR9sjj1r1Y89nv2NPc18hD2Ig389x5uAPdo8iD1CgYM9PKOYPQ08kT3floU9TnSZPYHaqj3sW6k9BG2nPbTslT3GrZc9z9GsPdPMsj0Oepc9jJaRPXZnij1AEoE9RBt8PYLogT05zH89H++FPWqRkT0TPYk93P2QPcYEkz3uKnc9Ubd3PW1LgD2dbH49m5R0PYCJcz3FF3M9q3NwPUwMfD0lZnI9TEldPZQuWz1SQWs9iuN1PTw5dD1utl49BlVoPRX1hz38XYk9kOKGPc/LgD0e94U9GP52PQx5cj157GI9n+NjPZnPaD0ir2Y9WadTPVGhYj3P04A9VS2BPSctfD1rjG89e5xhPVrWaz0NloI9gy6FPetIfD2WXXY99ZFcPTIrbj1NPYQ9uDWNPeeUfj0CkGw9HQZaPRIRZz1G4IY9I6GCPd+kZz2rLm499Dx9PexehD3/Qo49n7KSPbNFiz1Cv4Y9xmaUPflyiD19hoo93n2HPcXdjT2xg5Y9UzeoPftqnj3PLYw94CCbPddNoj2o2Zw96o+MPb4ijz1EGJI9TZ6IPTxnhD0c2pY9x42nPexhrT1NRaA9Oc+WPZX8mj0Ds609YA2rPTZ0lj1q46Q9cLKwPRmsqD1hC6o9Bs+2PbwjpD0o5Jo96JWbPUjblT27Zp093zunPRBMpj3Ngpw9mFWUPW3blz0TgJQ9aSCdPX/xpj2br6U99DiZPSScjT20bpM9UxmSPfgNnT3s5549gpChPVozmz2esoo9Zh+OPSudnD3/Y6M9eRO0PdAFtT1XbqU9t1ujPezMoT1O36c9Iy2ePVORmj2XzZ89d82nPS7Cqj0qwKU9p1KrPRK+rT1zM6Q9YxasPZnmwT2c0bk9DEKoPUQarj2Hj6U9oTiUPSIkiT2MJok9kR+KPWCciz0h/oc916iMPb8loD2Sop09Va+hPTKeoz3g9Yo9+T+FPe4tgD2bz4U93ouKPS3IkD1d8I49Y/KSPeAwlT3FPpk9Bw6bPSr3lz1JAaM9g9adPQ3vlj2CvJw9Sx6jPVu3nz2wgpc9oHyGPWgbfD3iXoA9FheKPbB3hj3zo5M90v+ePTcgpD2hLbQ9O9KtPQkIsT2UKaE9aoeWPSmAlD140JM9/smTPVZUnT2kvKc91gSfPaSGqT0bZpo9yTCMPSImhz0Nf449mBqbPYGNrj0dlaE9KvSSPQMxjj3Y2oE94Fp9PSeTfD3+hns90uOPPQpIkz1Ns3w99gF3Pb2RfD23+YI9IF2EPahghj0BRYw93aWVPQydnD0pc5U9i/udPQ9tlj27xok9RKGXPaZOrT2b+ao9o1ylPQIOjj2GOXw9SBpmPbS5bz3Jx3U90uN9Pc0JiT1gL4o9Um90PRrKcT3vzWs9crNnPfnMXT0tFYA9ogKGPYechT3C0Yg9beqLPQx4hD27uoU9kYuGPUd/iD2HTpI9s/OMPYFlfD0wq0896kFBPXyAQj3UpTU9cANBPZQWPj3L/T49WAw/PZd0TT0sfGQ9OkFuPS/wbT1XvmY9p3RjPS9Fdj2iNIM95VF8PdwHcj1NIGI9HWFZPZ9UWz2x/E491nJLPbtyQD2Gx1E9zzVUPSKvND3hkSM9fAkhPbZzJT021yA9FzQyPW4SKT0zCB89VX0aPcSqID0rhkA9gJkkPcrhDD2oMAI9b5wEPYj6DT1TKvg800THPJ8A0Twrjr48FnivPHjGqDw+na88qgCiPE7/oDy5ZaI8lXurPIrKqjyus688x3SzPE3mqDzW3Kk8R92xPO/KozyWdKY8s7alPDaHpDwmU6Y8QTKxPNFmsjzxh6k8CVWrPNGBnjy9jac8Ob6lPOkOrDy/+ag8JHCnPGSxpzxkQaM8vvChPJectDznpr88PCq9POa2vTxgFbk8nLC6PIc4sDwHub88uQ/NPA49yTyua9s8sT7wPByj7TyvZOg87GHxPJOwET2If1Y9ZHahPRlYkj0qK709SyZxPVSrBD1gW+s8U7ryPC00Az2zOTE9doGrPVjACT5kgx4+TOgUPpP9FT7v7yI+ox8nPjA5Ez6KZxE+iUsUPk8fET59cBA+WMcTPmusFD7/Bho+7OQRPqlGFT7LBxs+wXIPPu5NFz7x2RU+t9wUPtOdGT7dgSQ+XzEkPk5DGT4vTxQ+6agOPuOiJz7Rii8+1KITPhFqHz6rOyc+kWI0PiPNRD5dBjg+AN0mPol2Gz7xASc+eqEuPoGIKj67hSw+ea9DPvQTOD6pADc+2zJKPoWwHT52JDA+GF47PmKnRT5qfVE+xplFPv6VQT784C0+VX8vPvY5Mj4ebCU+ODs0PijHMj7Znyk+1IEzPiIBLD7fKzU+tzE5PvHdFz6VVAs+1cASPo6TKT6Z4kY+8zI9PuoHVz5TREc+LwckPvOhQz4qTjA+M/kWPnMUJT5GMxs+QuwlPiFXGj62dDY+Ra5bPtLnXD44XTk+PYUWPvumFT6R1TY+8i5fPheoVT6jITc+yAM2PrikQj4Ktik+tOohPgEFOj5GLTk+68whPttZEj6XcCs+1oAnPno0ED7S3js+REdEPlnZRT6NU08+tWVpPu1lXz50DCQ+Jr4pPowjMj5QljM+rcxbPvT+iT4iaFo+hOsrPqvWJz7KQR4+/lY9PoGUtz5ryKA++PdDPpfmEj40JxE+mEgkPiyqKT7Mzyo+kRA5PlLQMD68XCA+GwYcPk80HT4JdSw+eNAwPsezKT4c2i0+VGs5PkbGQD4TNhc+MqsIPszhED50gkQ+011NPnfzNj65uC0+JEgtPqvcJj7l9y4+9iQzPkT2Oj4wOzA+eeM9Pgw9Nj4lDBs+BJgtPv0DRz6YsCQ+t91RPpjZUD6pOUo+hv8rPlhGLT640Dg+A7IWPlWKAT7XwOw9bM0TPpvQET6pjho+U1knPosOIz4XYSA+58AjPuAqKT4poDE+ueBJPvs7Mz685Ro+oDoxPuK8NT6kbjQ+yTsmPtPOLD68IDY+yhE9PjK9Kz5LRho+encePjxiDj6GcRY+scMSPrrI3D33/Zw9IgMNPayN1jzlVsE8YxnlPJbL/jxlGQY9AR4PPVXyLT2dPmQ+nF5TPl2sDz414yM+gMBmPputgT7CpmU+ytFjPuR+XT5LXUY+NO09Po67eD4AWWI+CpxZPrSAMj4ioBI+MDzjPVWSxj1wFGs9dXfJPHpmmTwXlrM8wPZzPUIkfj0ZmIE9yeiLPVZBhj34eYU9j1BhPezeaj2j/nY91z+DPZnrhz0cbHM9+5loPchrVj2eyEs9OhZaPbCTTD1jKD89mF03Pa4PLD3Doig9Gx41PVmQPz2AS1s9rO1ZPf7KST3ROkg99HJHPeFETj152mM9Oz5+Pf6+bj0yJlc9fUVTPQyYRz37mE89imdbPaWqYz3lFlc9JMZTPaOAXD0n5HY9aBl9PerkjD2PE5Y9s7WHPUW9cT03Amg9j/NgPdZfZj0glXE9p3ZtPUkzaD1oWnU9bAp5PdhZhz0lZYk9QRGTPYrklD1+9oI9N8B5PXLtfT1QWII97XSDPd1BhD1u3XI93CxfPYKjfj3NEYk908mLPZpMlD3CcpE9UIiHPWFGhz3oDYg98gGCPdYGhj1QsIk9ijSHPfsdez30m3Y9NoZrPTGOcT0SkmM9Dot5PXJzhT03yX09lNqAPcbbeD2dyH49XdyDPQXEhz2zRY89ySKYPcF/lz3qU6A9EMquPXgMsz1rYZo9p3qpPTVFkz0JT4E9jW6APVSAhD3DfI89uumTPaiNij3W7IE9jFGBPWX8jD35Do49bWaEPdfxjz3yAZc9wxuRPayIkj36W4w9AJmUPX5tjj0B8389mV+CPZS5iT1FI4w9un2SPYyNiT1mI4w9NZSPPWGzgT3AT1098lBkPWCTdz2wunU9tVVtPZlMcD1VgH09AR2DPXL2hz2lMIs9MwORPY1ApD3Lo5k9lq+EPSCcgT3jMHw9xCBuPbIzZz3yQ2s9wQdXPRF+VD11o2o94AZxPS+2bT322F09ZqtaPb5wdT26sII9TlqCPaFfhT3WBYU9Pvp6PfUKij1pVoM9CZRuPUKlYT3L4mI9+dJnPWqMaT01nXE9KjZjPQ/4cT33EIE9UUWBPVC3gj1Ux5Q9NmeYPYS/hD3oEmM9z/x8PTRbhj3XSYo9qcWYPTLvlz1Q1pM9iqGRPY5Kjz1NnIo907OVPcV2mD0lzJY9IviPPXvFjT1fEpo9GOOWPc8Yjj2p65I9kQiTPanLnD0Ik6w9kbaYPVUFnj16fpg965GaPeC6nD2NUJo98XOkPXclqT1IHaM9+JCrPVainT3prZU99ueVPQXpoz2lbak9b+2VPcyikD2q05U9MLWTPXfalz1Kjpo9+PmUPVp/jj3jupg9bLmdPXUCmD1ft549VZKbPU+Moj0MHqc9l3qiPa2mpD1RmZ49pFabPVROmT1bDJs9nkmaPV5Gmz0qIaY9cI22PakWsT1w6Ks9GuywPeF5rT0as6o9d+a0PRAovT3Qw6095kKsPcYOqT2m3Lg9wN3EPejfwz2YmLE9VoCjPaYAmj3/qoQ999p0PfwpZT2CW4A9TMiPPUj9mT07iKc9iMqbPepXpD2qnKk9E9KhPeCMlj3ISok9rux5PUtjaz0QAXA9zQeIPZdClj1K8ZQ9nbOcPdQSnD1kZp89vVS2PWt6rz2qR7E9OxCyPc8IqT0QaZs9pQ+ZPea2iT1pBnM9/hxmPSLjeD28FIM98gGGPUfTkT3hlag9sXazPeeZqT1MtZ49TVafPUHxiT0Q5Y095aGdPeLcnT0UP549W/SmPRGjoz0h+Jg91zSLPSlhiD0MU4I9Ws+BPeNfkD3Xwps9W+ifPRrzkj1F3Yw9+ShzPdLTaT0TKWw98+R8PQGqjD3ctpM92gCIPZichT1z94M9idOKPXzrhz0TDIE9CaKMPefglD2UK5k9q26SPTKolD34R5Q9v9WZPUnHlz1itpI9veCRPTzfoT15S6g93HaaPcv2dT3jRlY9q/xaPWoCWj2mYHA9k5KBPQ0Mjj3xpYY9VgeAPffvgT1iCYE985hvPS4gYj0HW2496eKFPQwMjD2UYJ092UqYPWdyij0Jtns9uoxzPZ/tgj29ZoI9ESR7PUAiYz1Ag0Q90VdNPSpLWj3+y109Z/hfPSAhUj3uUD899O5HPfBGaT2UH249Pd9qPcx6az3TH2c9lqR1PUPmhT09FY090VKOPaGMfj0+Ym09PR9nPTZnYD3KdWc9LbJoPbUFWD11DVI9bVBEPY2hNz1aXDQ9GJI9PeBDTT23T0I9s3Q9Pc3nHT3Vnws93UkcPfYSMj1Jsh49Vm8HPdu+DT3oMhU9eK4SPRgr9zzM3cI8Pc66PKQRtTzXq7A8svuvPAvguzw5ibE8+zW0PKrPsTwqybI8JbexPDs0yzymprY8GRaqPIMBtDyzkLE8r8iqPGY7qTyFJJ88QcKmPOiZpzxCX7I8Y8LgPIQ4vTy2sqk8OrTBPOCTqjwelLg8tuerPDIXoDwmdqQ8P8y3PPzTpTxuepI8bSaaPM6ApjyvdKc8uq2vPNf0sDwaK7U87m65PLoGtzyq4qs8KpKxPJmhuDzjubc8BMfKPOzR0jwMguk8UvsJPaHCBz3n7w0968BaPekzOj0KXwQ9PDj4PELJ6zykSfM8aw3wPJZw4zzGM948xX8GPZ9xKj1VyXc9N+fjPc8ZKT7FZiI+XLQfPpbqFT6rvw0+CrYPPr/BHT5/nR4+VgYePpScGD7xJRc+nGcTPnAdEj59KyI+JE4XPhq4Gj6xzhs+GkUWPt7nFj6Y1hw+Kd4yPj58Kj4y4BU+tyUQPg0KNT5hrC4+PqgYPq7UKT4yThM+4pAZPufdJz7t8kI+LMFMPp+mQT4GA0Y+MKYzPrdeHT5Y4Co+fN4+PpRuNj5flTU+gXc8PuodOT4WWEc+NQctPiniGT7YejM+/UUtPigkNT54ID4+sx8tPr5MGD4wxyE+CU8tPsCvKT4jSTw+z2MnPngNMD5GtWY+FAFdPvP/Hj6Tcxc+VuUwPh1QOT6cPjQ+/ewtPt+bVT7RSVg+Pfg/PjZpID5uCC8+Uuo0PoQJKD7dQR8+PbgQPkkeLD6j90Y+T708PkFIPj5kPSk+p0IEPpAaPz5QxHg+pcZEPt1TaT5+xj8+SyhcPkgESD5u1R8+6IgfPk2GID5mqi8+BpI7Pm1qMD6jyRg+j8wqPua8WT5GzFw+t+hSPgk1ST7gKVw+Gql0PmpWKD5dUiw+yFE9Po6iLD7wQRw+XCYfPhTBSz6ER1U+w7hpPq2lXj7zTGA+Xf5gPspboD5fmZs+bN1JPk8yJD7FvSY+3bAkPnGkJD7BCTY+ZtpEPhJeJj4euRU+v6IKPnQ8Gj7RFyg+pSw1PtwYOD4W/jA+Hz0wPg7ehD6FrjY+Br4TPlYSED6irjQ+TP83PqBYIj6fSic+QitBPk6ROT7GuEA+WuozPmzTPD5RAUs+Ji9YPs/GSz7XIjo+1nAtPjEVOT5a3EQ+Y8FNPneELT5uMxE+/WX/PbeMED7zMzA+4x0fPgfNDz5F0g0+AfAmPvGAJT6lKz4+UHc5PsziLj783xk+L/giPgU6Jz5EkDk+8mo/PpT/Jj4LVBc+qwsWPuphLT77sjI+x9QWPvRoKz7EU3I+uAUmPvN2/zwfLqA8ChWhPMBDjDwOH4w8+JrCPKZ42zzwAbI8HN+uPIO4wjw0nc48mmvSPPOCyzwfHN88HRHlPCmO3TxhR+I8J5vhPHZ9BT2lilc9uX5oPgcPvD6/NF0+Djg9PlnzPj7KVS4+afQsPinlFT5N47o9FigtPQJAwzzXhrI823bQPLBwzjwXPOQ8+sHnPMQW7zyw8+o8zOWOPYGekz0JtYM9UFKKPZ3Dkj2WyoE9ZfGEPWhuiD2yu4g943OJPe7AeD1CI2g95UdVPac1Tz1bp1Q9CINXPSIMPj0yjkI9QOs9PSy8Mj1A8To9Vyw1Pce2RT0h91E9sGNUPbiMPj0kjks9v8BjPUxqUj2z3l09cHpqPSPucz0MbWU95zZVPbHDXT0Cy109jTpdPSFkWj2R8109gC5gPVzgbD22bnU9oz92PY40gT2Dhos9WqlzPRRLZD2DX3Y9cBNyPU3QfT12DYY9xo+BPaNngD1ahIc9nVGMPVV0kD03RJ092CGYPafYgz3VxoY9zhB/PXOwiT00pIw9XO2DPfAgaz1P0HE9UQaAPfWnkD29Wow9KnSKPWFnjz024I89C5KTPatRkj3rSYU96B96Pd8Jij2DHZA9i/OOPVJLiT1/SXE9E9ZxPVbYdz0GFGg9ny9zPajIaz0P9m89WsN3PaDiXD3tSm49zOV/PXupfz36SHQ9wV6CPaTqmD3itKc9s6GlPWA5oD3Wq5I9J3eAPZ7Yez2G+3091LuHPcXrjT3Fh4U9VxqCPV2igj0aLos9qKuSPRqmkD2sI3c9tvN5PV4xhT3mlJs9pCuiPRUwlT13toU9Cl+CPfPniT2oIoQ9c2FtPQtCaz1c73I9B62LPR5Blj1Q0oM9B62APSKIfT0oXHI9hQ+BPRJchz2zWYE9A6GDPfoXez2LgHo9Zz+BPa+Iij2jJJM9IvuTPee1jj3S34U9bKJwPW9aWD2yKGk9VgFrPYbkXj3Ks2Y9pwtSPSDSSj3vCVI9OZ1hPa4wXj0jp2g95kxuPaRydT0663w9lxpgPT0caj3SV3s92xqAPShScz1COGw9FuBYPS3FWj2Rj2k9EwJ6PbXBZj2wjFk9KNppPYBBhz1uFpk9vXSOPYwhhT2sDYg92bKHPR+Waz0aPV89ZsKEPVA9jD0fx409AXOVPX5MmT1CCKo90U+ePV19jD2Jvpg94eqjPQUUmj16PYc9aTGDPeWAhD2cX5I9OKyYPc9znz3YcZ49oeqVPaz6rD1WCaY9uwOVPfvTjj0oS5Q91u2NPfXSjz14DJo9mD2YPfMKoT1hy6c9ljqgPZ++nj2Mi6A9O0ibPZ3/lT1xMqA9qhehPchrlj1N9Yc95XGLPUWFkD1eTZw9vBGlPZ22mj3oLp09lNurPf+pnT2MW6E93i2iPZcjqD2eeK09R8CrPeN8uT3L7bk9vNKzPTYGpz0XM5E9OKWWPUnarD0N47M9xl2vPUIvpj38u589TBCbPZAcmj3QhrM9JqK4PdW1nz0wQJc9BmWTPdBumT2wb7A9QXbEPbCTsD14gZk9fA+HPfyheD05oXY9Erl/PT1ShD1jzYY9FCKRPaOwlj0ZtpU9qu6iPYAiqD3MJKo9nkiXPX1fjT2htIY9s/h6PYgRbz0cO3k9rvqMPe2CkT1i/aI948uxPa82tD1FA8Y9NYrAPXeGuT1Du6g9Wq6mPYRDsT3gf5k9NSqXPV7Oij1Ec3o9ccx+PfSPjT3okY49wQqMPcKwkT0S+549U3mmPfk7oj0ha6E9uOmiPdNHlT3EO6E9gAC0PazBsD0KcKM9k2CXPaLbjT0jOog96NqAPerVhT3eT5A99nWRPZGcgz1OsH49VDOFPXzsgT2Pu4E9eJJ9Pd0tez2tl4o9+D+OPa8GhD0anIY9LYuTPVe+nD3xG5k9z9ySPe0iiz0Hg4s9HOaTPXD3jz2lpo095RmZPV1RoD2c8Jw9JcWcPUzwpD3fUa09wmenPQ0jnD1Vt5c9sfOPPefUij3+wm49wdFiPeBMfD1Gc4c9FquFPb6Iej1WtmE9J01mPVJMeD2zgX497ZlwPXOVhj0C4oM9/zCLPWgKiz3OE4I9poNrPbFuYD2UrGY9mpdoPRKJdz1zRHw9HJR8PQ3siD1+Ln49OS5xPX1ZdD1jJ3Y9lMFwPffTWj1yyWI9qPBaPQ7RaD0h+W09kbR4PfX9dD3M+2s9FiiAPfBaaD1Em2U9ceZiPZROcT1ZaXw9cfl8PSs7gD1lxX89e4J6Pe4MWD3xH0I9FsM/PQbhRT3vDU09gSVLPRr7Qj0H2U494ahTPYLJRT0blic9g7YZPRTVET05Sgs9tMANPRouHT0U1Bc9uqEFPa+Swzy1mKs8zmm1PN/cyzygKsY8bgq6PMnGtjwVU8A8c2/QPLPxyDwWrck8DKSxPIIUtzx9yas8ClWhPB5Huzxkicw8rW7IPEjDnzwnlKI8q12xPKMD0DyPf7Q8ZDC6PGgSwDzhJqs8Ms6sPBRkpjyjgaw8+AWvPJpbvDxMtrA8EXq7POLetTzzFKE8LuajPOm3qzzDIa88zSizPAHIpTz8WKE8yn+2PE3UujyzcLc8GsC6PER1vTwVccI8zb7EPMJj1TyV3+E8FH/lPEr76Tw9pfw8gqv1POgC/TxCFwQ9O0L3PGSy5zwMYOo8HfX2PJAEBT3STgg9KJTmPA5m2Dzx/jM9nDyFPVoxAz7GRiM+rhwPPlELHD4G1gw+KnQQPm9uGz7INRQ+f7sePkTPKD5K5hs+HDAZPnf5JD5d4SQ+ZTMTPl+4Dz7WgxE+AWIRPgUvHz5TuhU+N2cZPlfWKz6bcUA+fpUYPh3LFz6hWDQ+Y1YuPn0mCD5/pgg+354/Ph4sOT7X1i4+T6I0Pqy3Oz4d2Eg+B+RQPkQdNj5Zxy8+xfpQPmjGMD701TI+5EIpPkP3Mj6NejE+8u8sPvPQHj7SUBk+qYoqPkJZIz5czho+jJAxPk0RRj7MWzM+xvIpPn+gKj4eUik+zl0fPodnKD6xGjY+r1FHPkz5SD6rLDk+N5ctPoqmNj4kniQ+uvgjPu90Pj6rVUY+0HoePp7CET5W0RY+9GRPPmuJcT5+aTM+BnkcPgo7OT5WBzY+PNgtPrd8MD6DsSc+N6IpPnXzSj4EWGQ+LKs1PmCdTz5q0TY+KgQpPnuKJD4MziY+H9MkPomGMz6AMSk+4/U7Pm7IPD5DZjs+D7JAPrPaez41LVo+AuRYPu3mZz7rToY+zFFSPuajNT7hvTc+u4wkPgLpHD4N2ys+iT9DPmtvIT4kd0c+Mv9TPqpRUz5KVYM+imKEPpBvYT5WMHo+PCWIPpBwMD6xhhk+E9kiPtvYGT4DGEc+UWxLPuzNIz67JhE+XoUVPjytGD5GVxE+P0sbPhEkLD6PlCY+7IsnPgtdKD5SmyE+o5YLPua2Gj6/ITI+UToxPndsJj6p6iI+QkcZPt8MMz5ifFE+xX40Pp3AOD79UD8+PygkPh5QPT4OGUI+OeAsPlXsKj417js+UR44PlEUJD7nZP494O3FPShcGD43k0I+2ehKPmp1JT4Oxik+TXREPnH1QT4n5Dc+ccA2PjdSND7pDSQ+aXssPlzSbT4xSpk+n8NXPqG/jj5WGyI+EXcoPnetHT44KTE+r+EcPlcFIT5J0ME9fbvyPEr0ZzzK5Xc8aEqOPCi2jjyJhJg8FKmnPDa1rjzP5L48V4XRPBzp5DyHIuA8UnbgPBm72zzQAuU8cCn4PLysBz03JgQ9itvzPHUZ9TxC5Qo93PLaPTpIKz78ySM+jMcHPkk+xT0QQYA9wg46PRdfJj0hptY8zWK+PKcC+DwRLCM9SZA5PSSgNT1kszs9aV9EPZ0yNT1rkjM9raaFPcdDhD3eDoI9n8mFPQwWgz2CrIs95zSNPbGOhj2tJ4098oCCPdp2cT3wW2g9lSFUPahAQD23fTk9cs5KPc+ITz0LPVY9SHhCPa+QQT0pNDk9vtIvPROKPD2n8j09M6ZAPehESD1LS1U9UTlZPen3dT2+6m4906dwPVu/aj1W2FI9AcphPQ8dbj1g4mY9qeVxPeuKbD28O2k9R6h8PbvKfT0ASns9xCx0PUXodj3EP3A9JDJcPaUjZz1q02M9vrKAPQ6dhj1pW5k993+bPerpnj1jOJs9/JeVPc+Ylj1PMp89vYOTPbDjgD18j289gZB+PawkeT2bZ4Q9TKh1PWowZD1V1mc9eMmPPRDHoD1AxJU9XrmQPQb6ij2KWYc9/SiEPd/PaT36KGA9HgNsPaFbcT0f5oM9DUyXPf6Bjz2qAHw9ARSBPe2FdT1WAnk94wCHPdq+hD3BLWo9D+5pPVtcej2TLX49Ob1hPZU1bz0K3nE9xTd7PRtodj0FQYM9f0qTPeULnD1Qk4s9x6mBPTVPhz1WmIo9/zuDPZboez3Gpng9X7R8PZ2thT1wIoc9nsSKPcQtkz0O4pE9LkKPPVOUkj0Q0o89hCGOPSgkiz22g4g95+p7PfzcfD1AE4w9BkKEPWDqhD1pE449/J2WPU9EoT0vYJc9zF2LPcRngz1+lno9btpxPYMYfz1coYE9k1R0PVo6dz2XK4k9V1CQPXqUiD3v3449U/qWPaLahT2v2mo9K1diPaTzZD2IC3499V1rPWIFTT2ep0Q9hhZJPfe9Sj2QS2Y99QdyPaleZj3pcXc9Tg1jPQA8ZT3vMnE97K5hPZVOaj00mGE9Ka9zPWt9aj3TMmg95N9iPVJaZD1IqXE9f2J9PWKOfz0TP3M993x3PephjD0JVIw9Bb+XPWfWiz0NY4o9tzOAPQc2bD3evX09lcyLPb7lmD0E/KQ9zbyvPdWesD3MTpo9XhGUPVT7nz0HO6A9r9ymPVsCqz2R65E95W2EPd6dij0bxpU9ZhCgPeyHjT3zvpI9Pf6bPaUanT3f6Ik9iRyIPRNXjz0hB549hhqTPTYwjT296Ks9N2KoPVJDmD0uK5c9cyeZPbrelz3FJ7I9mV6qPSzmnT1RlqM97VGkPRKBlz2CNIY9+smLPehwkj2aqp499Q2bPS7BpT0Bl609iNWfPR9hoj0t5qU9oOCaPecAnD2hC6U9FZu2PcuJxT1misg9Qqy5PcHQpj21W509n8KhPQhmmz3IwKs95PuhPa/llD2nwpM9iMOQPZMsjT09+ps9AZalPdi7kj1jWoo9gtSDPcJkjz0qiKg98iSqPaVqkT1wDI09Yr11Pd+2bz04+oI9W2CPPc0Flj2whJE95yiaPbx0jT16MYs9tJ+jPcgIqj2sUJg9dXCAPbsscz3HuG49zrZzPYDlgz3CTY49dDOkPVlbqT2g4649tZG0PXZGwz0AJsc9agK4PfCHtT2PvKk9j66OPY84kT0ieY09qvaHPYcuhD0GUYA9DoeMPYxWlT3zXZc9ujaXPTlFkT2BPJA9iXGNPeI/lD1LKpg9l3qmPfNqoj3FYZM9A4mIPTB5jD1Bwog9m0eBPfdweT3Zzl89CQZyPbQCnT2Gr5w9ApaYPbmwlj3LdaE9QJmPPRobfD27gIQ9s6qBPSgMgz1enYs98b2EPdwhhT1Wh4k9L0yXPddvnj1A7a09nnybPQg7gj22poI9cx5+PQ1HbT0XoYA9PvqPPTC7jD1taow9HW6TPTbroz3ziq89PBaVPZmRiT3EPoo9YoaFPa/ggz2tFI49Y1SVPbkjjz0EQYQ9bt5zPTomaT2GA2I9iG1vPfgidz1ZVHI9dKmGPUkrjD0ZtoU9CPeFPSUydT1mgGc9aOFXPWlRYz0FmYA9lpKTPaWlnT14apk96nSDPXzIij25kIY9NG+LPaxrkj3Lb4w9GVN5Pf4PbD2EAnY9DqaAPRSodj2OKGk9A3RmPRMUaz3Wf3I91qxwPQ8TbD1MKl898GVoPWzigD1A2409drCJPZZPiD2Mf5M9SwCKPacFdT1khV09hoNkPTlnVz13BlA9iRNPPTPeTD2u4UY9LZ1BPcinOj0CfTM9YHkgPe0+FT1ZBxM9s/gXPcL0JT0oXiE91BgBPZfI4jxbjcU8WBfBPPX3xjx9lL081Na6PLQetjwrgrU8Ho3DPJsVuzwCgKE8lSKnPEGKvTw/+ro8YZa3PJs8sDzvFbQ8ZHOyPMjhqDxNXKo87mWvPJT1rjwPHL88q0OyPPt+sDz0D6o8qAKbPKF9mjygnrM8Y4G2PAkXsDyLM7g8cemtPM+7rjydeq48LYi9PE1qtTyAnKs8W1W3PEEYwzzTR7Y8uoO9PGCAzDz5JMQ8t6i2PDYTwTz14Ms8kavMPE9F4DwRzNM8NmzTPNgi9DwIWvs8a8n7PBKA9DywrOM8FpnhPOaJ2TyHeNc8kG7vPKqJBD3w0ww92j4EPbK4+Dys0h49lFJCPfQTaz2xvgs+624iPtCbID4vtxs+H2wTPtzRJj56hy0+eHkdPtaeGz7KxRc+asAdPnPzGj5aNhw+yywVPnPPCD5A6Ro+NbAjPgpeKj71jk0+nOxTPngzUj5sFn4+NMdWPjGvFz6ZBhY+sV0bPp0/LT69Iz0+U/k8PoruPD4k9zE+pWYcPrN2HD5ZXCI+KTIwPmi6MT75f0E+8NBkPmq6MT7jRBs+oOchPg6ZJj5xgB0+pHAOPhX1Ej6+pQ0+RMwWPmDlJz72hR8+fzcyPjzwNj6zaCY+Y8AqPhkDQz7eLCQ+MK8WPjV7Hz7iXyI+qV8vPlkgOD74L0o+Gp01PuAQMz6jYRk+wbIJPlZGDj6r1DQ+9Ec/Pm/NLz7rwV0+m+ZBPjwOJD6fVEE+O9ZPPhSTRz41HzY+MtAvPvDxIT4jURk+MKAoPiISMT4KGCU+BrYuPlNBLj5E+yc+uE0sPtlQKD41Siw+FGgyPrPpMT56kxg+puEyPmvHZj4GZKQ+PQtXPnXjOz6U/kU+If8rPhdgQz5yUUo+dAI6PsIfND7ocS4+6n0iPsNIIj7Jxyk+r+ZCPpyzQT7T6B8+gnUlPsPlLT7nejI+kFY+PjPXRz5cQVE+MnZePqCgGj7C5Ao+pR4mPsbKKD4EoDc+R2w1PqAwFj54CBI+KZ8TPpkCFj6VTA0+OSMGPr4pLz6oWSw+gRgpPptwKD4IdSU+QlwxPk+KOj4gN0g+VWwtPjgVHz7wDR4+UMcsPuzbKT4hwiE+QnkpPlFhFj74IxI+Tl0sPuG4Qj7WBj4+Us8bPhOaMj4OGUo+dqg+PjgJRj4IRTc+3X8oPjd+OD6Mcj8+WBZFPgpKNT7B2D4+wmUxPnyXPj7C1yo+60RCPnQQRj5BOTg+hFo9PpTVRz5KKFA+9YYoPr/SLz6FuBQ+WsQqPig6Rj5sRTQ+wW8ePqHjDz4Fm/U9xs9oPdmPjzzFDJE85tKgPFHEozzZlbA8Z7DBPFyUtzzfXbQ8sX/NPOnC3DyCjeM86rH9PCcm9zw3fPc855EDPd70FD0BcR09aW9HPc0pQD3gUBM94bwuPUFURz0uAEk9sag9PRppND36YSE9gtUWPaDcKz13FSo9Zy4WPWIlGj0utCs962xKPetkSD3/uDw98ag6PYHSPz3z+EI9OXuJPcW+jz0ebZM9V4CLPR+3gT3sOoM9JHmEPT+LhD0jFXo95MRkPQ4RXj0ZV4I9fP9tPStsQj1YT0c9T6VSPUGKNT28qUM93zJLPVOqTD1AD0s9pcg4Pcd/Sj1GJ0Q9vgNDPZvTTz3zwFs9koJyPVx2Xj1EOkc9SQZUPUD5VT2kGFw90zNsPYRpcz2Z9WM9tXaEPYJfiT1KuYM9GEGEPcYrfz3032k9ZFVdPft5bD1fiXQ9OdxxPUfneD17DIs9kouFPWyfij18lI89/sGRPRjnkT3L84w9MtiMPctzkD3fG5o9VPaQPXtXfT2w54Q97P+BPfgvZj1yaGE9BQt2PfrvgD3bhIY9eJiTPf1enD3uiIY9TN14PXO1az0fq1092pdoPSohfj0O9II9a9GZPRupjz1FAIw9GpmLPRTNeD0GHoE949CEPR6Zij04CYw9ik+EPVnUgT3Epng9mCmAPYJxhD14W20972dfPZb2cT3V7349tyB3Pd33hz0OwYs9c5qaPTY+kD0W6X89SgaAPT3KiD0jxoA90Ld/PUiYjD2fW4895gaLPXcglT0u/ZI9x/GVPaqKoz09nJ09OZiGPX1nhD3eL3w9XFl8Pe51hz0uQZc9bMqjPS8miz0hWYs92luRPdW1lT1nMaw9u5GkPU+clD0/DII9AmZrPXkNZD3p2IU9KAaEPUg0dz2uAYY9zUeHPZf1iD1my4o9Vcp8PYa5aD0dqHw9HUF8PZl2lD1+AY49EFuFPeg5bz1VXUo9IKtAPSd4RT1acV09PEJvPcimXz3OIVc9DsJVPUXXUT32r2s9FnZ+Pd92fT2NsIA9ICt4PRWXbT3zh2U9AQVpPabdhD0h7oo9co+FPWYPaT3RBn89Kp2CPWAXiD36XJA9mSmAPQVZgj04ZHo9XTaHPRh0cz3x/GI9jQNWPUEKZT0SLns9utx5Pcx0iT2oRaI9N5KgPd5Ohj21GIA9M9h7PTHHej2Es3o9PEmRPRqVlz1PMpU9qIyOPXdNkz0i7ZY9EeCbPTKTlD0zHJI9jvubPT63nT2IBp49SpKaPQq7oz2thqs9vsWdPQSsmD2Mgp49HM6tPX3TuD1GLrE9OIeuPQslqT2UL649+2GiPVG1lz2zq6Q9cBCqPdmpnj3ivpI9NHSOPd6Slj3MVZo99s6fPSjpoz0Q05Q9zpySPYIboz0f2rE9AtiyPZVbtT3537A9j9a1PSu2sD2bxbI9woiwPRPhoj0NuaI9yeelPfDmrD2TxZ09/uKWPbIJkD0lT5g96OeOPc2tjj1j05I98k6XPdb7lD2ZDo49QqSMPQZkkz07R4o9c2GFPVdGhD3GV4k9+nKOPYMKfj24AoA9GT6JPaWskz1dwow9LxiHPW7hgD00y4s9e5KfPRT2nz0nhI496eKCPRs8cT01UGk9LWaDPXAklz06cJ49U2qdPdyQmz1X3Zg9IyWhPbk+nD3H+qc9MfyqPfRurT17w6U9k+OKPTvyej0ow289cNh6PQ97jj0wA5U9mLGXPRk7lD3JsIk9Lh+OPUJvlj04pZM97EKdPd16mz3ZvZ09IBaLPTjHgj3Q9Xw9cX+BPSYViD38aY49pzKNPbAjhT2TzoE9hLeQPUwdoT3PAKU91FSjPZ0WjD2buY492uCCPQVxhD2hFoI9Eqt4PTHVdD2e3Hs9X5GEPdrAjT3OvZU9ZueUPctGiT2s7n89u02CPQsReD09/Ho96Ax1PfVFZz1/w4M9Es6OPfBDlj1iL5g9xXafPeCGmz2r+IQ9+m5xPVQhbj20qHg94FdxPfMtcz059IE9Go+HPTVKhz3WD4A9hT5iPZTBXT2lpGU9fnuAPS8+jz2TdZU953mNPSichT0t9Ws9x6xPPQ4eXz3V6WQ9ko9pPY0jhD36ppQ9rDutPdssrT1NL5Q99yCNPXqEkz1jsIs9O52FPUCVgz3KnoM90+txPXkecj3EtHo9tit+PRcteD1OVX89kulsPUxrbD0ouHw9lg1xPV8GfD0X/YE9iECBPb0Xgj2u64Y9e8qFPU+FkD1N8ZM9FWaQPYWviz3XVXI94odrPUuxXj3tym094RhyPd+1dz1S6oQ9S7lxPWQ8Wj3/fFY9ieRJPZXHMT39mSk9Ha8gPVMyEj1oXgg97GLpPOJc+zyTbdY82yXDPLBtzDw7Lbc81BKjPB++nTztp7A8Z2m9PCKQvzzMn7U8G4elPHGJrjy3qrQ8ofyuPMFxpDyJfaU8s+yjPHVJoTxys6w8K6+lPCc1rjystKw8ud+vPL2wsjztOsA8Hj6/PPdttjxbf7o8dR6/PHAwtDxqHrY8Id+2PPF8qTynEL884cW3PF5juTxDCMs8b8TVPCou3jyz2eM89ijYPE8s0TyBNNM8TJfQPEG7yDyD9cg8HyTPPPuP1jy6Atc8oFvZPKYIAz1D9wc9/unfPKkh2jxYZ+I87EDUPIDW1Tz5Sdk8JdT3PM5BBD2reQk900gTPXNGBj2DgxY9/YMbPX7QKD0KiuM9KYw+PnUeIj7Kcx8+44YgPtTwKT6QKxU+kIYUPpdaGj7wcB4+KnkaPmFBEj7Z6xE+ylMbPnnAGj75HRw+EqsmPgHZID4wrEo+Hah1PgChVz4dXGo+4tBOPssSKD5OdSo+lVxIPto1TD4mWTI+g2oYPkHLBz7wWhw+jmUZPvx2Iz5Ru0A+I/VIPqQDIz7QfBQ+5dg6Pm+OUz7jKC4+x0U5PiT7Oj6+Xjc+dV0tPtqxNj7Syyg+ZfMrPo8YJz5vrhY+TVo2PtntQD7+Jxw+4JMSPsrjIj574Ro+9hAbPmlkLT4UkyM+1btZPoMvRj4PyCI+9bkkPtZiHT53LSw+L+ErPjTtKD7YbDU+4hwrPjGTND6VMR4+Ik4KPnCKGD5XqjI+WOdBPriZTj70qIU+teROPq5pJD5JWSU+SYE/PnB8LT5tGik+4/soPn5EHz7HZSE+F68mPuQJQT4FXFA+m05NPlcDJT6LWiM+KesrPkTQQT434lk+9x5EPthYPz4LAjg+paQmPh20MT47HDM+Zy4yPq68MD6DcDo+et1KPqfqND5p3zA+pdg2PlVCPT6LziY+BV80PjEOPz6Q50Y+pWYxPiUpGz5sLSc+TNg1PtTwJT5HYBA+DnM6PgaXRD5Jbiw+BiYiPrnYDj5LrQg+DKkSPmEXID7BDBo+tNU3Pg+1Oj45Dio+WnAkPrBIWD4bDjI+RDgZPtgdBT5uLhU+AWUoPgtOJj770hU+FTMnPnJ9LD7hVCI+szcXPl5PCj7Oxxs+v6svPs3OEz6vLx0+TOU8Ps0wYD4g2T4+v7goPspeHD6Ebyg+AconPuJwND6VEDs+Ss88Pg4CKD4sHSQ+AI81Ph+gNT6o4SI+bVsfPq5UHz5l5i4+JZU4Pm2rOz7XkzU+oJtBPoVPIT6xMhI+RKYCPlu0Az7s2/89Cyi+PXPVkT2/6Ao9gy2lPNIQnTwd1LQ8pKjLPLWa2jyYKds8beHzPG88Az1kZvI8oBTnPHHE9DxgrBo9JPIWPRcMDz0neBQ9EtMLPafXBT1kLBM94SEqPfdXMD1H+CQ9mYgvPWJbPT1Btks9x+dJPd7TSz1LQDw9NUs/PXAuQD3tcjo9kvdOPfqeUT1uJFU9E4VKPVYbPT3MGkk9Nl9NPeotXz0o7289bWWKPdDyjD0DW4c9r16SPYwUjz1TOJA9O7qRPdolnz3uloE9uWlrPS55gz2AjH49HM5oPTVpYD39nV49jftkPca2Zz327XQ92IBfPXXVVz2v7EI9X8A3PYYfOj3XskA99HlSPYvXVj3GDmw9DFxyPb4jZT1MfFM96jBYPWUgZT3uxGs9R2VkPevjaD2zY4E94GSCPbuphz2x6JA9ZyWMPRRrhj3azIA9W1SEPVwwiT2SNoE9/Rp3PXMgbz2at3w9q514PXmqjT3ynZE9/w+jPX+MoT3vDYg9EPWKPeSugT0KHIM9RSZpPaalWj3dpm49DNV2PejVbz27X4M9N3iHPbwciT1Zno49H++HPdKRiD3NlIQ9pgh+PSA9dD1yVIQ9FeyRPXtlmj0Egpc9BVOVPaxnhz1j2209iPduPcykgD0IqXY9pkGGPfzciT2OHnk9R3mBPXr0fj3S/nE9Th5zPcxaaT11Ems9mrJoPbSmiT0F+5E9PU2KPQRcjz3fEI09KRd/PVP5fD2DLIg9e9aRPY3GjT3m64g9C4CePa8dmD3ZqZQ9skGQPWmumz3PxJU99euaPZWrnz3C84g9R8txPTWTgz3zRpQ9Uy6WPXZojz0b8Yw9UFqRPVqXlj369I49UiWSPVqQkz1BvIo94ayFPZG7dz1XrHg90FaFPbROlT2S1oU96OR5PU2QiD0Qxpo9H9ikPRiBkT2TSo09DEuMPaQFjj1CL5E90UuDPXppgD32LHo9uUxqPWDPXj010Vg9Zl5cPdUTYz2NzVo9GfpdPQUvXT2Mf2A9nlNaPSMIZT0O23M9muF7PXLNZT0Cm1Y9MThtPZT2dD359X495cSCPZGygj2WTIg9qbVxPUSdaT3Wx2Y9k46APSTSjz1oZI49Y1eFPdgzhD2a/no96Sd7PVQuXD2rwlg9iMR+PfQrmj0eKo49EDOFPV8rkz27k7c9rLOXPVIjgT1UoXg9l5iCPbTtgz1ZTXU91rGOPaBLkT0Sd5o9JF6cPemCjj3RHJE9wIqVPV9enD0DGZk9dv6VPaIcmD3+WZA9SlOTPb9Wlz2Dj6E9q7yRPQxcmj01x5895GWdPYI3qz1S36c9LFugPer3iz04uYY9OxWdPTb5mz0rvp89y0mgPQONlz3GvpI9ZnaXPWrXqj01vJ49OQ2ZPUCklz3opZg9ujGyPZFvtD2zxqQ9gK2tPRLEpz1KiaM9xTuqPQRGsT2SWLM9xJ24PZ59rz0vfaI9u/WkPccSrD0DJKU9pvyzPcMJpz1MQZw96gmcPXcKkz1s7YY9/9KKPSV3oT3GbZ89OHeYPbzfjD2DBIQ97yF3PRR3gT2YxIM9lqmPPeDHiT3tAIs9dImSPVT8kz0+zJA94haRPVXFpz0KQKM9WZmUPY7vfT3kYmc9JYdvPdJwjD2WxYU99eyOPZdpnD3e96M9i2mnPWrzpT13P6M9wNWbPcGVlz1YV6I9SECpPRNjqj2o/5Q9ylSPPfbziT3FLYg9FaiXPS2bmz1Eooo9JjiHPRsZjD0lV5I9zsGZPZHXmz1R75w9XrOUPWellT2RwZI9MDORPUWolD2SH5M9oQ+ePYQ1kD1N2Yk9zSWCPVOngj3B+os9Sh6UPZMLnD2rj4M9CxhuPYZiXj0Wym89uUCAPZQjkj0KY5Q9/F6LPaCxhz3yfno9aYSDPVXojj0yOY09LeuTPQEGmj1qPpU9vZqRPf8OkD0Ja4Q99eSAPS6cij3a6Yw9FZOcPUx0oj2XYKQ9dqaRPdkBiz0b5oI9Yk1/PfzAfD3Ovmo9VsJ7PYVKhz35LIE9Ma6FPZ8xkD3qBZE9vIN/Pb/DZz2dgnM9pZeFPZK+jj2iSpA9WJF1PZYwYj3x01s92K5gPRhPfT1oV4A92a2BPW2kkD1XlZQ93M+YPVD+mj24Uos9zZp8PWNaZj1wdnE984CQPe/2jT1GxYc9oe58Pdfhgj3EwYI9tw52PR95cz1KYYA9CpxnPWEcaD1clWI9a0drPez9ej1A5IU981GEPS/efD30dII9Jp6QPcWChz1LWoI9oU2KPZEAdD2HG2I9LLZfPSrTbT0hvX894F2DPY5yaj1OomM9pBxfPZS2WD2XhDw9ljs1PcbiRT32TlE95iA/PVQ+ED05wNQ8qIW+PMinzDxPbNI8l/S9PF/+qDzWwpw84GylPD4jnzziEaU8Pb23PAhQrTxyq6E85nmtPGVOrjyTu7A81RejPMNQpDyjrrY8f3K1PC2OuDzEy688Knu0PExbwTzhs8E8aem4PAZttDz5uLY8KeC+PFtPwzyE4LI8vCvBPBQDxTxj86o8EB69PMKpvjyChbw8TIC/PBm7xDxg9c889e7NPEQO2zwbKvY8r+HkPPb82zwS5tk8RQDhPJjW2Dymts88OUnfPBRn4Txh0ec8fHLqPF6o7Tyq7988T/PRPIrJ0jyyH788B9rMPKfM2zyJAvU8L/ACPbA3Cz2+WBI9vCAPPfg5BT3HfOs8lPv0PJQXIz0mocY9tZg6PlduLD5TZRs+ogkmPk7vLj7AhhQ+NFgdPglIHD5QIhg+HfcgPuEvFz4R6xA+tQATPphTGj67qB0+cbEiPjY3JD4JtB0+NzERPqRLMT6DEis+EdAvPl2iKD7wDDU+hytCPgmcLT7JyxI+ctEJPuGGED4CkCU+NMtGPmr7TT69OFM+aYJGPjyHFT7NYSA+6nJJPl2rbD58iUE+bXJMPgTNUT4kQj4+fJwwPtwQPz7b8DA+SyE0Pr5tHD557Aw+MXIhPsGQJj662CI+RDIfPlqKMT5Q5SU+2NoyPtOcLD4B3SY+oyc7Pp9LLT4JpiY+y+I5PnYuMj6YPzs+ub5CPro7PT6iYyQ+poIePjwqGj49Ew0+JoEcPq19Ij5Q1Us+hjtyPpsITz61C5Y+HPNnPnLAJj41tS4+GXM5PrHhLT6meS8+gesmPoBFLz4BOiY+8UkiPrvNRz5V42U+2BhcPld9VT4vnVw+qg87PrUnIj4DokQ++tJCPlPYUz5p5i0+2ocXPnJKHj41RSE+SpUjPop1IT68GB0+9YQyPl6QNj5hsEA+rsMnPk/FOz74UUs+Wh88PtQYTj6s5VQ+e2U/PlUCEz78cQQ+ER8iPvKzMT4rVRw+xZY7Pqy5Rz4rnRs+0TEoPukNMz4n5hM+juIQPlyaQD5rM0k+vcVcPvKqMT6cM/o9nXwSPuJ7UT72Qjo+bI4lPr1QDD5rxSc+PUUrPpxYGD67gh0+d8JMPku5Lz63YyU+fOEbPtCmJD4Yn0I+J4wzPjrLKz6E5yw+I6wvPqUzFz6LbB8+2CEoPpv1MD4FUTs+cbA4PmkISD40VEU+ZQorPja4BD69agE+to8jPvLKJT75rRs+0nM0PnsMKD6VpB4+UpEUPoJx8j0f06g9hIiEPbrnbD2PGyQ9AtLNPN5XuDzd9qw8VLq2PGRjzDyBydM8A3zMPMmS0jxnefw8aP33PD1W5zyGnuk8PrD1PEKP7TxCIfY8jdUEPTugBj0KaRQ9t9ghPaRkJD227x49VKIcPQIiGT3hQSg9oTkxPaY/PD1Bi0c9KtdCPb/VSj2rD1U9r9VKPXl+UT16OU497m9JPal+Tj3oVFg9jVBdPbUzXD0H8Vk9HO9QPf16Tz0aCl49VllcPbPmaD1f3V49+WaCPcbHjj1gvJ49s+mmPTzRmj1cn5I9jEaIPfKUhD1zV4U9l2l4PZxqeD22t2I9E5JfPb+DWz03JWU99nFgPdZlWD0dsFg96zNPPWsdaz3qbF49jXFQPftGTT0tklc90KVUPSxgTT0g2149blt2PSolYT0O1WM9SPxmPT0FbT2mmHo9QMB0PX+kaz3qUoE9aeCGPQ8Uiz3sF4c9U7V3PX3Jhj3bHow95S6OPSqtgD1RKWg97hBiPVBLeD08lYg90h+QPeGzkD1XL4U9SbWUPfoGbT3WM3A9gBdaPT3WTj037109mJpkPRycdT04HYs9XmyJPQAkiD2WdJA9mtOOPcW0iz2v3449VRSKPRJycD15pGM92btxPQH4jT126pc9pUGOPR5XlT2W0pE9/tCZPZMxhz3NFoE9E9t6PYvecz0IrIs9WN2cPUsHiD1vQ4I9UGCAPT6agD0sUo89iy2APRF9fT3CoYA97ReGPdYZhz3g9oU9KM9qPfDDeT0EbYU9QOuHPWBMkD20Q5I9gUuMPZn+iD2EGnE9AkJyPYhKhT3uLY49VFORPX7smD0Zl409O8KJPcNtgT3fe4g9S9GMPae6jz2MuI89RzmNPa4mhj0tEpE9rwSXPeobmD3mHpg9sJqUPRhrmD3mwIo9wSaVPWfHgD0bU3E9B2R6PYeUkD1J3pI9Hr+PPRtyiT0NF4E9lCWHPeexjD1iQ5E9/Wd5PWiNhj3UppU9X0WMPdaVhT0zMoI9MuJsPerrZT2P6X89rjN1PeY+ZT1Ep2U9qOVqPZSrcD1ER3A9+9dWPS59YD3S6II9VoNxPXx9Wz26+VE9gEtoPb+DhT3fSG49jXpSPWDqVz3jC1c9oLdLPeeQaj1YCYI9QQKGPWs7fj12Gno9AZ9sPQSKhT2sgIY9ePCEPTs6hz0L4II9ljSHPSW7nT2BCJU9UuGZPSeanT2tXJY9jOmHPdgYcT1PjWc9aIt/Pe5MfT2/c3M9Iad0PRU0gD11QZY9dUegPelGoD1a3pU9pdqOPbaciD37hY89v52QPXRihz3iUZQ9y7eWPX2pmD38zpg9zLSgPW3UoD3r06o9VJidPdQhoT1kbZs9BsGQPYuTkj00B5M9HqCQPcfUij0pwow9ssmIPabckz0K25A9bHiZPTzdoD1WCpg9kTyQPTkumD2LR509cPqXPTyjmD2KJ6s9K72pPfUynT3VNrE9ztOnPd+sqj0MGsU9mSu6PYVzoD0nGaU9lwGaPZ7Lmj3Cras9HQWiPWO1qT1QjKM9TsaXPWJUiD078Ic9fs+UPUOmnz0ukZg9JwCRPWUehz0CdYs9QNeMPVSzij30mpY9AbaWPSjnlj3NeI09YbmMPXjDlT3up5M9lmOPPdO5kj1uVYk94Sd+PcABfj2ikno98feDPWv8jj2iN4w98w2UPQlMnj2IN5w9lAmwPXnIpj06rJI96qGbPUS2nD34v5o9PA2cPaCnmT1aR449Ws+RPX7XlD1KvJE9xseTPd5OnD3naqA9bxSbPaEEmD17JZ89ZCOZPRdmij3Du5I9MuybPYCCmT1I+pU93TehPRikpz3YBJQ9TqGDPd4FgT37AYY9UN+GPbr1kj3/CJs9sKeRPTxnhz35aXA9gD9ZPVgbYD0XV3E9pQCDPSiWkz0wvpc96gaMPYjxiT3al4095VuXPe8TmT1VcJ09ptqmPcVvmD2eeZk9CAyVPbvhkj3AAoY9OA2JPV9smD0uXZ09jiWiPRDxlj1RY5M9HjWMPWf4jT1yZ4w9R56GPd5AiD0fDJE9uiyWPViymD0q1Y89912VPU5Yhz39a3w9u/F7PavCfD1NR4c9+KGPPS4FgD2EuHY9quJwPRD1ZT0Usls9RldwPZ3ogT36hoQ9cYWAPQDliT0q1ns9zO5ePVWaaz340XU9MuRhPcz6XD3sv289kGSCPZuShj0MOJY94a6ePei7oT2owZw9xImTPShSiD3Yd3c9HX5+PbNpeD0HjII9aJKCPWoHiz2zL5g9UaOKPeNqbj10XHM9mk1qPUNpcT3FKG09+iN6PfuBeT1/um89uhZaPZjdZz0paHQ9tGVpPfPxbz2Kt2M9FRVOPXV9JD2feAQ932kLPWAbET0S0jE9chUlPWBX1TxIB7Y8oKa8PP5oxjz6abk8HQu3PCFbrzw5zaY8CR+zPIj7ojx3n6U8a+K3PKX8szwChpw8vP+kPKi2pTx12qo8lZqmPCvzmDzWkKw8v6qoPMcSqDxzArU8GJe1PFWAxDz4Gcg8KFq3PFD5pDz1pq48U2y1PK25xDxLVro8rgS4PC99rjy2A7M8uPm4PLyBsTz7eL08SLfSPB974jzrWts8cUTdPJLm5DyhEeo8wPfePChK4DwP8eM8VqDZPDax3jyE+N08hDrvPAYR6TxzFfA8usznPDH40DzoAMw8Zz7NPGiwyDyccME8GEXHPM663DxrTPI8A50BPX1NAj2DIw09BccMPQsFDT39ffk89qriPIgRJj2lbKs9kTUjPkaBNz4+eRg+tKglPpQAHz7M5hM+FdEZPqT8Fz7KOhw+PygWPudxFT4PsBQ+j2USPp6FDj6vNww+ckYcPtLyGj6k0Cc+0TgpPvZDND56IS8+eTAoPq1hIz4DoDQ+R3gnPjNxJD6Zbjg+Wf0fPuPLRz7L1W8+2kFLPrijKj5diz4+yzY8Pko/Gz4B2yU+SC47PkaFRD5P6Ts+k5ZMPrmJST58qR0+vHUtPtxJGz7t+yI+Cq0rPp1hHT6CGSY+cCswPtmHKT7N9Ss+Wf0lPj8TQT64pDg+gwohPjKTIz5gdSE+mDouPkyVMz5eqUE+hldIPvspMz5JbS8+mNIhPnEwKz6iBh0+KkEdPresHz7teSM+ji81Pj/OPz4R/kg+UzVIPrq4TD5d0Vk+Px5BPuSLJT5Jazk+cis7PqnVMD5Ffzg+Rog1PoQjNT4K/T0+n3AzPhbpTj6eTVc+9DxMPuRJNj7kXkU+Bxw5PoeyMj707Ds+Wx05PoY5LD7i5hI+7zMLPpJjJj7wSSA+7QQfPrxeEz5vRAk+S0wXPguqJT5cYUU+Ue1VPgZKTz5bJkY+loRHPk7WXD7atkI++1EvPpNPGj74eAM+RKAYPtpoLD62/TI+fEAnPqy8Oj7HxyU+jVsgPrRzJj4OCi4+FYQ7PhJrcz665mw+3Z9DPruuIT47FQE+grIaPgUuMz4gaho+qEY6PskJHj5VWCg+pMcsPugWDT6yPS4+KaxgPtZMKj7OMxs+/eYNPqRTKz5srkw+jHYrPszTGT5YDgA+looCPlpvLT73NSQ+Kx1BPhLcOj7y7i0+xzMsPmm6Pz4jOi0+GU4cPtKuyz25/Zw96iagPYmDlz10l4o9xe1jPZe2HD2RGgE9GM7VPEzPrzzBaqE85uGrPEsZpjxNcrw8jsfFPMH1yzz6x888zGfPPOtMwjw+/cc8FpHaPFx46Dzsr+08UXLtPHABCj3g8gI96sL+PH2YAT24nA49PBYVPbtbFj1s5B091AAnPVjmKT2VPS09pK87PdQLRD1AoT89n6VPPfPSTj3TXkY9+Vk6PZtDRz1lXU49Gn9WPWz9Tj00Ykw9miRNPck7UD3hVV09JTBcPcTOVz0VJFw9G3RUPZCIWz3832w9qrBhPTSzbj2y33Y9Fm6HPYN1hT0xno89rcmXPVl4jz13/4c91iKGPelAez3Aqm0950J0PXsQaj3Nnkw9V1hRPSZ0ST1Cz1g9+jFXPYX6Yj3pLHc9DQ+BPV5iYz2A4Gw9DuJXPbcTTz3SBkc9sh5QPXZpYz0tQ1s9PIBTPaNBYD0iE2c9br9qPXpPaz2iXV09n3ZzPUowkT2WTo49e0yJPen7gD3DoXc9lftkPdxQiT23moo96rOEPVeCfD21DFw9+YNkPSKwgD0/Bok9RNOEPaysiT0N3ZQ937KAPa1uYD19BFs9YCZMPXNdYT0w9YQ9mIOLPQvIpT2WZKU9rXCJPXz7iD3S7X89DfV5PUyjgz3333U9EAFwPa3haT3aOXI9rJ+NPSpnkj2B9oc9AYeQPQMCmT3MuY89ZdWEPXbMhz2HA449HACRPdxVkT26rJE9Nz1/Pe+2Yz38vmo9T2JvPS4MaD3WN2o9eyWEPUYzij0FEJA9MOefPeDDrT0LaJc9zm+NPcmrnz2elJA95vaGPazAjD38BYs987B9PbNWbj1VSX0998iCPZr3kj1S2Z096BSpPWEBuz15mak9mSKPPeeAkj0j45M9bDeWPUfWrT1Fqas9vuuWPYYnlz3Rfac95n6fPYtylj27HZE9U0eHPbOjgz0C4oI9Vfx5PZYXiD3g/Ic9L5OIPQDsjj2uAIc9NbSMPWFHhD2Mvnw9TSWBPQVXdz3iioU9gteZPdFbmD0kWJA9d9mFPXmicz0MF2k9+J+BPSIedD1Z+YM9HFeKPalqbz0qKnY9bMRrPUMCWz1M6Ws91Bl6Paneaz1G9lw9f+9LPTw6RT0Ii1c9cjZqPXQvbT2R9VU9ZtFMPXnjQj2N3k09GCxoPQ01fT2hEYQ93HSBPcOdij1y8Yg9RteBPZ2Ngj3ZMo49fMWQPZBLkj0RmZc9femgPaMZoD1Yr5w9FzOUPURndj0czXw9mvKDPUJEij0tmIQ9/EmAPRZpgT0VaoM9hWuHPQCWhz0HvZI9JtydPdrzpD0tYps9mLV4PVwVij1NpZA9VLCOPR95nT1EUao9+/6fPZhPqD0Vq6w9YiapPdXQmj0e3pw9khehPUhwoz0iK5Y9MQ+SPbjNlT24Rpo9XLebPQgslT0uKYs9OyiRPUMpoT1aK6Y9EfiRPcRilz0EsqQ9aWGoPd2anj1Q6Zc9OgybPfSeoj1LBKA9rU+nPbnzsz3LpbY9kXyzPf19wj3wqcc99ISpPZ4lmT3Fjpk98yWLPQU9jD133o89UPKgPdnkpT2B6JE9InaIPcsfiz0eLY09od6NPbxAjz08/Ig9xYmFPZmDlT1rKaM9WGu2PeENuz18pbo9ekSkPegdmT0zdZc9AMqSPaohjT0qCJU9mK6PPdjcij22/4A9zeaDPZf8gT0ToYo9mc6ZPdLcoz2YeZ49RKyfPWfzsT1R6589XqCOPTjMkT1omYg9sjSHPbSuij2thok93hCMPSRdjz0v+Yg9mHGGPTGmjT15Op49RLSdPT65lD1rTZs9d8iaPf6Emj2kDJA9v3iWPZm4oj0sNKI9f8eYPcdXlT0BKJg9YXOePUosij2jtXc9vatvPQ6/gT1sPIs9TUCPPXg8lz2TV409kjKFPdiBfT3QkIE9EuCAPf6HiT1894c9DsaNPUckmD1IfZ09WD2VPe3SkT2Y75o9aPCPPbyleT1L5YE9eQyHPfNohD2XZ4o9RGR9PbxJgT1qi4A9VAGHPevTkD3/AYc9y9SBPYK5kD0X55M9MEWMPZ8ZfT1+eXE9JChrPadNgz2kMZA9bBmVPfkEoz1k+5Q9WhaRPcPjjD2SEH096yVuPWPyfj33l4A9hg56Pda0bD3OB1w9LCBtPaMugD2W74w9VUKAPUHkfz1ArXU9U3J5PX3CeD3OSWo9pMVjPfz7cj1nrHo97xBvPUt/aT0wR289NIN/PdKRhj13UYs9sU2ePafFnD2ZqqI9ja6SPSRHeT2JAG89MZRsPQPWXj3dJXM9sO2BPXNbZz1v5Gs94wp2PcaVaz0pzGA92XdWPbD2Vj1Eb0g90ExYPXgCYD3pH2Q91ZJePUkbTD0Y3EQ9nJBLPXEEUT1B3B09FHUAPWc/2zz99LI8HKi0PD0LrTw7TrI8Wqm6PAXZuDwX1rg8hQyxPDjGtTyyras8qcKtPGMEpjwnYKI8dJ2RPFAnmzwUjaM8rv6iPOSIsjz7g6I8fgSfPM1YoDzLlps8DyCVPJtdmTy3RZ88rC6ePMS8ojwiva48++S1POUAsDzSh6o8qSSsPIwvqTwm2ak8/DuuPLbLsTyQ+688s4qoPMCUqDzN0bQ8l/6zPBECtDxQ8cY8goXVPBJ55jzzAd08VuzpPNSj6Tzljug8l6HkPBRk6DyVNPM88pbWPMET2Tzn09I8tEPdPIyU9zyIvgY9pO0CPaRi4Twt6s88c9biPGci4TwYjeY8Z87kPDah6DzXBOo8yIT9PIFjBj2XOQ09HIUVPWafET3ivQM9RSjiPKp2ED12e4k9XW0kPkg1MD6gKgk+nDcTPirXGz4vtRQ+KyIUPvU+Fz6OIx0+4AIYPnzXDz6cgxY+yvIjPi63FT68qQc+rlkOPo7FFz5P7iM+KN4zPuPBNz4u9Dc+/fQ/Ps9dNT4TASM+tt4RPmz+RD5DvGA+UPsgPiQkMT6YaUE+fZUoPlPTFD4O1Bw+uV4kPrJcFj5vWCg+/t9DPjl4Rz4tHTI+f14kPgUkJj4NACs+TkEzPkOKGz6B6xw+EgAnPpt2Iz5tcCM+VDMiPnrkJz6urjM+W0kbPj4XFz50PSQ+S/IgPqZ+Jz4r1BE+/2sSPj+1RT5IGFE+W8ZKPj2JQj5azUY+anQ8PpJgPT6uSDA+GsIzPqZmQT6Q3zI+NlcxPusnTD5X+Tk+5kU8PlUgRD4TykI+hIExPh+tNj6VmjU+G/tEPpUROz7qujU+mpBFPtzWRj5MZjA+HIoSPqF+Iz6wk0g+YqdePrT0Lj6EhiE+VuoYPsZ/KT6F0UM+MI07PqJKKz7Yyxc+iC8XPpu1KD5jGjs+7cM8PsrANT6emj4+HnM8PnxOLT765is+JaVQPhaMMj6ouEE+p/RaPmBLPz6IhjY+sIIXPkgdAj5CjBc+EUwrPsbjPj5b2Sw+cDMkPtfdOD5R3jE+e60hPkeWOz7+hFE+L3BDPnfUSj5MvGA+6dZhPv8MMz5CfxQ+k59KPs9tMz6hmzI+QqtAPqYVKz54Kio+XC4+PufFKD6dEjY+CwtDPsGFND64Nyg+lWAoPg+6OD7++Tk+5/JDPs5/OD6OOwc+LTgMPjqDET7WuDA+5R9YPn+1ND5IeCY+hzsmPie+ND6jQRQ+gOeRPYLGgjzq+mY84GVkPFbAhjxAQKY8bQO5PCscuDxerrg8FpHHPJZLzTzOy7g8Xwu3PDRjxDwnv9I8bknJPKNeyDwqxc48N468PPH4vjz2PNc89Mf1PNzD9zxYgvI8shP5PDknBj0GDAg94cwNPfpaGj0zJB09pagZPWi/Gj1lByU9rgEjPfy4MT2A/To9Lc41Pev6Oz3l/Es9kPNPPXuUUj2deV89VPBIPf0xVT1H7149wdRZPZlPaD0Em2c9KtlbPWjqYT2N53I9tdB0PXKGaT1Q/3M9vSBwPfB7dD1bw3k91CJwPdDdZD3WLHM9CpiSPe5OgD2FiYQ9lx+JPX9SjT02r4o9CSeMPXrQiz0+3Xc9BW9WPcb9UD2TMkI9mN05PU/nSz1uWG49J+JzPYcQeD33lW49yo9KPe9eSz276Fg9rBJNPfpoRz1NQU09mkFWPQ60VT2eEFU9lk1oPZM3eD3cuHE9sr56Pa2mgj2hS4I99sOAPfS9lD1mjZI9WsSEPaN7gz3a63g9Ey2DPZCriT3kfo09d+qPPTxBhj2K63s9SNd4Pdtpgj0YQ4U942WFPZ+ZhT1LwHI9HTNnPTxOaj2SAGA9tTlpPShTfD3I2nw9BUx3PWk0fT39+ZI9EOWLPfXtYT1H/2g9f+mAPXZpgT1Rl4I9wqp/PXJ9hD2qq4Y9g0iJPYtagD0gl4s9mbyLPfsxlz14Lpc9GSaTPUPHjT3bmYU92pV9PXkIlD1yvYc9A+lcPdGRYT2NmH49hq6LPVn8hj1HooY9TWeMPWggjz3gmKA9xx2TPc1QgT12ZHo9iFuHPXtBjz3Z8og9FNNxParmbT3UG2w90PR4PZzMhT0b+oo9cKyNPcKTmD2LQp094LKwPfl5nD1pvoQ99peFPavUjD2/R4o9eHecPdYhrT3UaJo9Hx6DPdKilT3loZU9sumEPUFZiD3iCoU9gI5/PTDghD19T4k9rG2HPfFZhz3OEIY9PkGIPYLjij2uLoE9fOp+Pc9Vfj1BZoI9aZ5jPV+vXj0S7oI9oByMPVJgiD2NIo09uHSFPY8DjD2TBpA9UbqdPTztkT2SBIs9JEeKPbtveT0nfWY94GRYPQdCUj3TJFE9bVpJPXPOSj0MUVk9+xNfPciqRz0cyGc96k6APYzfgj2bOmY91whTPVGvWz16iGM99cp1PdVSaj09VWs9Yx+IPfPjjj2HCZg9QNmKPTIijT0K4ZY9Hu+QPcfekT02UJ89SX6SPQAtiz0Vt4k9MSiCPSm8fz3pCn89VMyDPdyqjD3z6I09Uqx+PUfqaj1wynU9vhyaPVRJlz3klJM9wfCaPaYZpD3FE489dguOPcj9lz13H5M9iR6YPXV1kT3xjo09Eb6nPR2AtT07UqA9eOqXPQZGlD2i6Z49mh2nPaI6qD1rJJc92bKIPbN8jD3XZZ89XiGWPbopkz02iIY9Bu+QPQPjqz2I/7I9b7G6PaMfvj14Jr09K0+sPWvBqj2LT6o9BPqgPVwVsD0VBrg9QcPMPcRkwj1frLI9BhDBPdOmwT192as9l7mfPZbTgT05Snk9lz2GPaoyfz0aaHE9yD9oPdi3cD11WXk97jOKPVQ6mT1hKqE9zzKuPT5fnD2iApc9552JPbVwkz3yPqM9SuqlPcUvtj20j7c95UqlPb53kD3z1os9GPGMPfadlD0iHY49DgOIPeC2dj3yd4Y9mXmIPWe0jT2+3J49U+evPcbiqj0ovqU9W7+tPepZqz3lsJw9WByAPRC6aj2gUXg9aEGDPZF4hT1M0oQ9c1CQPVrFnz39Pas9hOydPYpEqD2sjrM9MM+pPdDWpT0+fJo99N+tPXGJqj0QWqc9vresPe/oqz3lrag9fQWkPRm5qj1afZw96KubPeSHhT1JMng94IR/PSTEgD3u7oA9OLZ+PQ9Ofz2Rm4A9MXZvPQgrbT05JX89qrKQPQkOnj1ltZo9e/iXPZC4qD148aE9+tiaPd1MoD38up49/VOPPdImfD3xh3o9kMeBPTqmhz1CGYM91uaNPf2efz3lNGs9W/pvPXbXcT063HQ9OZWCPew/gD2ftYQ9qwOOPdvriT2ufIU9EGyOPU3Yoj0ylZQ9/XeNPVCNlT0fIpM9cLmRPSc9hz3VZ4M9O3yAPc+gbT1LG3M9sOV3PQmRcj1F24U9NfOPPbGKkj2m4Y09GriHPfXPfj0k+F89udxRPXdxXD3/Gmo9gXhpPbVXcz2Q02k9mUlvPSoAcj1o8Ik9bDuSPW+mjT0hJpo9RaKPPQqpiz1bIX49Fy1xPZwhYT3vNFo9lWNlPbk/Yj38LHY9hEB1PUdHcT2SV3k9tqZnPSReZD2xNGI9EZBVPXEcQD2wmDo9WlwyPU7rNj27hR89s/4JPbXg+Txf+es8ABXyPN4G3TxY1L48YsSwPMnirzyM7rI8GkyyPLoIqzwXwqo8fju/PDYXrzzeBZ885KKgPDQnqTyQWLM8WoC2PJ06rjzCNK48WR2jPOA9lzxpzJo8yPiWPG+zmzzaUJo87XOuPMyMrzy34ZM8VzuVPDK1kzyp4KQ8uUugPBg0njzNIp08jJ6kPFiGoTzMGac83ampPINKpTwBWqg8r4yePCylqDzI7Kg8QCWmPPjzuTy/HLg8gfS5PGIsvjz4b9A8w/zePEfJzTxAOr08k0XTPFyA6zyP8N881Yf/PNV7BD35HwI92d3wPALw0TxcAeE8Qx30PAvgCT3Hvwo9WiIAPdrw+zyIc/08vST3PGax9Txanv08aFPxPPwa9jzYcAE9Rb4GPTSdET2mKQ893WoHPUXxAj02sA09tqR6PXjS7D25azA+nFZMPj9LFD6XwBA+WwkcPlWKGj6nvQs+ouULPhXxDj4+mRc+gTMTPp7wCT5tJQc+EBUMPjk7Cz6MxRE+aIwTPubuID69fTU+J4ZIPsm4VT5dOFs+WTlAPriRDT4jcA0+e5EwPtJreD6ALDM+ro4KPgNyLT7VUTA+96knPuL7Nz6m0kE+y5EbPvmbID4TXCo+nxIxPjMNJD7ieyg+usgyPv0OEj44EhI+VLofPnrpGj5nmRA++mMkPj1PIj40myM+HIwgPvVxFT6kNyI+kEUnPp/bIT7NgB0+6wIfPoeaGD7N5hE++vEKPjeMFj7g7SI+8qI7PtKQTj7f9Wg+8pCLPvFXpz7Ap5I+gvdOPrArVz7fklE+NkhGPofURD7gmzQ+f7g1PomEJz6XNyY+AxEXPmzSKD5ddyE+G5MnPp6DKT5aJS4+oIQpPoGtPD6LCkM+svAyPpb6KD48bjY+LOFKPjW0ND4mFy0+pf8UPk51FT7TRSU+dhowPrdXKT4c/CU+UQZJPsT3TT5PWDs+fUkyPsStLT7XpTg+AEofPknTET6/wxA+XvoXPp5KID7TETY+yw8+Pum1MD7fZTw+F5AuPgRXID5PDig+FvAsPniiVj4BFEc+YU07Pq4hRj5N+EA+n1c2Pgq8ND6YQzY+X0M4PvZgPz4zulA+uzZDPgUyOj77oEs+n7U8PlsOLT6yKUc+k11HPkJgPz4PXik+tdIVPvmGFz5pIxc+vloePqYYKj7uADU+cbwjPhhWJT4RWS0+Z54rPiKmGj7OoiA+QOUiPhRwTz4MRUo+gDw5PkD9MD4SNh8+Ky8GPp/xiz26p6g85MdIPDU4Xzwjz388u7uPPNcdnTztXZo82bmlPBq1rTx7wLQ8N4y+PInSuTxgZbM8UGa8PIWXzTzNDdM815rNPD+6wTyafso8gCLSPI5X6DzU2wE9EXwSPeVqGD3m8Bs9agsRPYDtCj1fhA49YIwTPYZ3Fz1CIA09tUETPTYmGz0iWSA95twcPdoNGT1EcDA9jGs7PXzLQj34DUo9zxJJPQFfRz0RoFM9mOBZPaUkZz3i0F497pRaPQwccD1jm2w9n/9yPWQTeD1o73U9UJl4PRt5gz0l+IQ9nyGBPUuIdT07iXw9g/CJPaW2gz0BwIE99yyQPYliij0nBoI9LgmJPdW2hz2J9nk9gF1xPa7MXz1KmFQ99tVVPXshXj2UlEg9fRxSPcv1XD3Z/lg9cAFiPefDXD1AqUg9owNcPVq7Uj1PllA9ZUxKPRVXVj1C5nE9qmR8PbgLXT0Q2Fk9L+tvPYgCdT3A5XQ9JIiAPZ85cD03NGs9cilyPc2FfT2MwoI9XMNoPUt/dD3gSIk91YmEPSuohz19EH895l1uPZjIYj0U7Wk9ePZsPVPEcz1Zr149QsdWPYNXXT3uOm49+eV8PY97ez0TvYU9Hd+NPbDmij1dkn49A7NtPeNCez28W4M90Dd3PYRiZz1juHs9xgWEPathdj0A64E9enKTPfInjD2ZYoU9iYOIPVqsjj3sL5E99rGKPWgbij2xI4U95wB5Pd71bD1rxIs9a+uJPfmfij2eSoY90YNuPd3nbj3hoYc9Nh2XPajihD0n/4c9yq+EPdWXdj0Gfng90TtiPXPugT1Zfow9lYGbPQVJmT1UuYo9BId1PSyKeT26mH894l+XPTqdkD1Gg4M9kfKFPT/+nj2NWKg9r5ymPYFLiT3BCok9z1mePckfoz0/FaY9ChevPa20kT23nYQ9+Y+KPXOzkD3Mt4c9FUeAPQTpgz3zs4s9iW6QPXuhkj0WCo49F+eAPQpDgT1T74E9fBh9PavmeD3NtYA9ORGAPc5Xgj0/fYQ9L1qIPc7tkz1rx6Y9KCCmPQuRmz199oc9rGOCPcmoiD2LAIg99e6WPT+8kT2KqIg9HSZ4PdvJbD0mlGI9dhdMPZ9MTT12r2I9yDVXPSndSj33/Tk9Awc/PWvNRj2iWk89OildPUnOaz0CZ3A9lHV2PQBjgj1cz3o9Ws50PerMhz2q/YA9IJ6BPYdpoj2b9p49LDWUPf1rkD0eo4s9LDCUPVrIkD1Bz4U9wR6FPZpGiT03cYU9ELWBPbtnfD2vs4I9W3iUPQJroz1GVaI90pqNPaWQhj0hzIU9o9yPPSjinT1is7A9GeCrPedvnD0DH5c9pWeTPWuyoj2DY6w9HPesPbaRoT1dIJU9VVqVPeianj37hJc929iiPRUFoj1jHK49eSaqPSsAsD3knrw9saKpPcaYjj3TzZI9ExuQPXskmT22mJY9Ps+gPW0ksD0GTKw9zTmnPdXQsj25qaw9seGnPW0ypz1PWqU98IOnPQL4sT2O/LI9g2O8PfeOvz3pV6k9JYqwPbJgqz2qEqE9GmqbPSzYjT1VTYg92+aCPbTVfT0qBXc9xfx3PXw5gz03F489buWUPT07pD3ngq89x7O3Paeikz26o4o9FESGPd9fjz1/Vqw9Kvy+PQx4wT3DSKg9yjmbPZXGkD0cEoo9SjSGPcN6hj1/mYM9DcB/PWIlgj3kmpk9fW2iPUxRoj0y9aU98PWYPZzgkj2DdpU9rAGQPawFjj1STZA97PGNPSvJmz2uQpE9Hs2LPcwdhz1dWJc9UfSiPaEwoT3epZw9E2KlPWTyqD0fuLI9vJmoPWPQqT366rA96vKyPUFKuD3hHKM9UumbPSwOnj3SRJc9yzeWPbvHkj23IJE9utiZPWJwjT1DYYM9qwd6PbKxiD2Q74w9D2WIPS6fdT15q3M9LrBwPVFEZz2STIc9Z5yOPaGlkT3eR5o9DVSZPdjWoD2arKg9CeWiPfRqmz3E1449tAV3PQc5ez17Y3s9AJiGPbFWej0GhoY9ub2NPfzqhj3G8349miB2Pd9Cfz04RIw9gIeEPWS0fT07o4c9rmKQPa6Kjj0HJIU9GraLPdpakD1M/og9kF+JPakWij1kmYc9ybaLPYDZiD2kW4M9H7p5PdPPZT0W44I91BaRPWT4hT2+eoY9GvWNPdWLhz3s6oY92C97Pf9UaT0V+Wk9uFZxPRQLhz1hrIM954WHPZwFiz0ZJIo9KX58PdFTgj08yIk9WeuFPf7NgD2r5oY9JHGSPfwJkz1b93k9PoiCPS6RhT0WR3g9qd5yPeY1gz1W0Ic9I3F8PaLsdz2NvmQ9/5hWPfqrUj21dEI9yJ83PRkOMz3Z2xk9/d35PAHX0zxzx8Q8BoPAPKDwsDwjOrY8U8O6PFPowTw9lMs8r/69PMPDyDwVyNw8ycnfPAqS1TwrIck8EPjFPBoztTzBib48zpmwPKQynzyEGLk8d1+kPMOHlzxwK588002ePNZsmTw7LJs8eqmiPOeYnTyXbqM8Fka9PNYFrzy9uqI8W/6kPJ0gojwljKI8rK6nPHYPljyGCZo8FCChPPxGlDylAJk8V6egPBg4mDxgeZI8Q76fPFyOpTyXU5s8DKCTPBNQrjxPDKo892W1PLtozjy6qss8cE3GPFpsvzyT9748RZXaPF+l5DxhS+48roUCPSnHBD0siRI9jsgKPS4CAD1QSvA8Vk/mPDvx7zy/o/88y/P9PId9AD2/VAA94xoAPdqTAD2Novs8NBoCPUHMAD30aQA9U3gQPVLcGz3DYBE9xHX/PFC+7Tzy0hU9EwrSPTiTUj6Mg0M+ebA3PtL7FT5eIBk+pJEgPukSLj63bSE+67cUPh/GFD7pWRo+zuYfPqcnGT6AmxQ+MasXPozUGT5mMiI+H6ovPuEPOT6K91A+zilPPuZORT6yFj4+RQgmPku9MD7ejkc+AvllPpl/QD7WDQk+aXkOPupGID4Fpxo+W2gWPpr8Pj7UHG0+zdBiPmIThD569H0+JC5bPiapJT4yxSM+KOIgPnNyGT5Y6xc+gEovPqRzKT63eCU+z7soPq85Fj4HIBc+UdwsPq1BJT4vbxo+9n4kPkkBMz5ppzM+KhtBPohtOD6DWhw+1ocZPosPHD6F/RQ+h8QtPp32Uj7/pU0+lpYxPoiDOT4/tDA+YjolPsmNJT5vziA+RJgfPutWHT7l6Ck+3O0oPtGXKj56kic+cTITPp9JHj5X1Ro+gfMfPnIIET67fiY+2Z4rPsprLz4PFzo+iqUpPhUSKj6T/hc+qkgkPvR6Kz4ewx0+krMRPsPXGT7Z1Cw+HUAfPv5DLD63tkY+iXIxPhp8Pz7KtjA+RM8zPjgOJj6Qhh0+tP4dPpJTJz7Cnx8+Zt8QPpwRKD47py8+U2YgPsp8JD7XJEs+vo4oPrPCED6FmBE+KmcvPnAUQz5aVis+rtEmPi2DOT57GTY+QdlFPnMCQz6xWxY+Bls2PliILj4R8Co+AwJOPs0bWz6FxEY+5hRAPikQUT6Ke0A+jxwvPnInIT4dzg0+HOzuPU1lwz15ipc90wCPPclYaz2qaVM92n9qPWaGij1xHrQ9tD66PVp40D3W8MQ9eKz6PcsQHz5tjw8+IznxPWsQqD142109uu7hPNMpgTyhjoU8XZOGPK8QljyReKA8aaGdPEyglzygi6A8WaC3PArCwjyfHbY83iqwPHUhuzw1c8I83v/RPNfy1Tw7N8c8iHLHPH8Z0TzeXeg8Skv9PHeQBT3MDAw9emgRPUHJEj0mxg895iQVPSx0Hj3DzCg9gzoePZcBHz2U/xs9Q4UXPZhoFD3HCxo9agEjPcrrLz3sFUE92JdPPbUBVT2dUVA9DIVQPRqGWz2x5mw9zZpzPVF6cz1miHc9eetoPVjjfD1anYE9qgd+PUg+ej11vHs93ll7PWFyez07Kng9M52APeVTiz0+Qo090nKQPWimjT1or4s9ZgyMPTCjhD3uVoI9DD57PWvReD0jmWo9czZkPVeYUT34vEU9tSBKPcIgUT1in2A9R79lPbndaT1/bXM99+5tPYNiVD2RRDs9PjhDPU0dRz2o1Uw9PYN1PX51fT3hx3k94fBwPWV5Yz3tenk9wvp2PbRFaT2qZXM9df6FPemNgj2F6oA9lfSBPV4gbD33cGo9cx+APRUlbD1aTV09JuNUPWR4TT3saEU943RTPdriYT3hgFw9S29aPTjKZT26NWw9F9pjPcVIZD1jRm09jtd1PcNQiz3LppU96bWTPaELjT164YI9Q5x6Pdjwjj1al409dGx6PdyecT2/8n49n3SMPXvKgz0jgJA9mimKPbrKhj0yi5I9tlqSPYLgmD0hoY09AxKLPRRhiz0eHJo9GfCLPRmUgT0M7YE9LiGHPc1NgD1t83I9K5SHPeXhfD0htIw9X9mFPZMjdT2Mn2s9wfF1PUkYhT0dnpg9e+KRPQPRjj2v8og97B+CPafTaj3a02U9f/eJPaw4mz1yW5s9sG2ZPQl6kD3A/oY9VT+DPX2Imj2SxKE98MyTPQ13iz2iJZE95bqPPcVzgT3RYoU9BaCfPQR9lT2svYY9lumaPVU4nj3uiaQ95TOcPdECmD3mep49CJSePRw2kj3SppE9CceAPfeXiD1Ec489qB+FPft9iT0UxIQ9T6aMPV2pkT01OYs95uGXPSlZnD2e66Y9YcSZPR0WkD0WnIY9Aw6OPYWNjj3m7n49qa9uPe5sbz0yFnQ9FwZcPQF8Qj1fQFU9uLdaPbAdTj0ntUw9BONIPf+tVD1Rj0s98zdLPbXZYz3hkH89Orx2PblZgD2ENI09IPOQPaQFjj2Ip3894zSGPazYkT3vv5E915KZPdYosT3Gfqo9iy2YPaW+nT0kxJw9uGeRPbJPjT0zrY89ucd+Pce2fT2Z3II9GFSKPSQKkD3Kea09XTmvPUu3pD1aB5s90D+SPZ5AkD305o895fKRPa6Rmj0p5qY936iSPdvplT3p/J09okWcPdJ5oD1sObE9X3mtPR1hmD2Zs5Q9yFmXPajPoj3vZaQ9f2SoPZN/qD2kYKk9TnejPRm1kj1Q+pI9bw2WPXBfkD08zJE9xaaaPXHumD3My5893fehPZ+Uoz28vKs9FdmvPRQ3pD0xiJs97BGJPYY/kT0wD6M9VYOtPS4Mxz15ocM9tQKyPRSitT2hfqI9q8+aPYbpjT3sJYM9QZCDPZW1iT1NM5A9OOePPZ3Chz0hO4g9DByHPStoiz0uG5s9lj+ePUrZmz34KqQ9uRCoPTF4kj3poZE9KiKUPSvFpz3PH6c9v0iPPZHskD1/5oc939CGPXhMij0X23494Sl9PdSbkT3+j5M9CLOTPcsJjz2q1pc9Xt6fPSFGnz2l+Jg9QgWWPS+rlz0q9Z89SPSbPemrlz1jbpk9tn2TPb2YnT3h8Zk9uz2SPXbFkz0afZM9ybaZPfs/lz2ccpU9nY6iPT5Xrj3026k99KarPbthnT071Jo98CujPU2kqj00dqQ9YT6zPUCyrT1VvKE9yzudPSt/mj3sV5A93L2JPdzdhD1S5Ig90v2IPRJHlD05ppQ9CSuDPbJCYT3ZP3E9b2aAPTd2hT0e54Q9cPiLPa69lj3NgaU99XSYPb2XkT0GUo49W1J9PWOZgT0rvos9/0x8Pc2VhT0sWJA9Q1mMPYaCij2/h5Q9W8ySPS72lz2CO4w9BW+VPVdioT0LxJk9ZFGVPeyphD1J3n49mj15PQCugT3sV4M9EgGBPQFBbD3lUXM9g0aFPaRxgj0aeoo9ooCPPe0qgz0V/m09Z2J7PULbcz3Brm49uxt6PWG9hj1q75M9Ht2FPc/Yez0NVIE9iSSAPXjKgz185n09TFKCPZbhiD2pc389O05zPRkMhj3Ra3g9dSF1PSehgT3XLpE9mG+UPf22lD1sVY09PKySPR3Nij1wc4Q9dRGBPXIZiD2UjXc9JsZlPSRfZD2WWHE9PINsPZu3Wj1mME49SyNBPQpIPj3fiSs9C7YNPZ8kFT2GOPg8nAzBPACdwTxEpcc8Gk+9PJvX0zza6+U8JSzHPKIEwDzWHbQ89yHHPHFkxjwgwrw8jurEPEAEvTxLuLo8T+ezPC5zuzzDDbU8TbmuPIVmpTz0H6U82T+ePEWgmzyPEZo89JafPFmwmDxwTpA8l+uUPGddkTyjvZ08fqm4PBY5oDx/gZg8EuucPA/irDz8LKI8yCWMPNPcgjx1XIk8eTGiPEL+nTxZlKA8ZKifPO5bkDwRkI08EQSSPJHimTxmcpk8bIagPELBqDx5Wa88fHqxPC2etzx6Aco8z4nZPLC/4Dyxo9g8MxrwPP2F7DxTEe88cf/xPCkzBj0zcQY94Aj8PNXl8Tzg1PE836LoPPXB+Dw0uPg8vVjxPBk9BD0AgQU9rAkMPa07BD3R6AQ953oCPReBCD3hQgk9nCsWPVCrEj1JVgs9e3cFPSTf6zwJ3oM9wmcWPjU9Nj6EQkY+QlQyPujeGD6ZwBg+r/klPtwNND77jjI+LTgYPpWOET7fdxA+hCYaPvdFIj4K2CI+R7UnPjEtNz6Wyj8+swpEPkYITD7bwFE+UOFMPoIxTT6LP0Y+gSZHPifeTD7I4F8+OzFBPkQLKz6/VB4+T6IgPsPoLD6WmiY+HdwyPv8mYj5gTEs+if9hPne0vz4hIqM+1apHPg7bID7qBTU+Lt9NPn4zSD6vfCc+xpEbPtjrHj4G9CE+S9QbPnDRFT5r3wg+fjUpPtilSj4VMCs+7LkRPvzSMj5pYiE+4j0fPrxZNz78nEE+ee5QPjYsKT77Ey8+etU2Pl/EOj5KZTs+/ygxPi4SCT7FQh0+CREgPrZ5TD7exEo+KaMdPkJ9JT77QTY+26g0PixFNj667xY+VV0YPoy5Jj6Drw8+QvwdPoh9FT6nS/Q9GRchPqglNj4RhC4+7jAmPvuOHD5JThg+1sUrPtZ6JT7g1x8+Avc1Pi5fMz4VAjc+KvAoPoMRJT4UbTs+IAozPohuLD5APTY+amhKPoCnQz5J12s+5gB9Pjg+Oz5/gy0+aM8VPm+VIT76sh0+nw4WPgHuHj6fr0U+tmgePmsVEz7E3Cw+7lc6Pl6nTT5/zD0+adonPjY1Lz7p5Bk+wlgePpR1Mj6udS4+Ruo5Plc+Qj4h9T4+woRgPhk2cj4rY18+9VtNPl/jPD4grfs9m5yuPVxkkT3RElk9HIf1PI+djTwrKH88hwOHPP7TjjxrfpU8YvKePGKbnjwedZ48jM62PHib0zx/pvk8o7JUPd6fgD3RjzE9Ef/OPDKXmzwXwpM8trSSPOqHpTxusLs8ODi3PD+spzwwJLM8u/m5PGXBsjzyAKM8jUO7PGGntjyUq8Y8DunHPIeh4TxILew8KL7kPMbW8zxkUAc9oncBPRCbBj2QqAw9ek8XPagaIz1dBx09rGoVPX50CD1ENBE9vBEjPauwIT0o4iw9c8kpPbOPJT0qFiA9JQQdPTwkIT3Ymi099IA3PVISPj3ilkM98+ZRPV8XYz0611897H9XPYfXYT1LEXg9Fv2APf/TgD1gaXo9Z2NyPRajfT1VJIE9JgOFPQfWhj0qB4c9XjKDPclXgD3/Foc96fuIPWDNhD0Baok9WR+RPR7Tkj0jj4Q9HGd2PY9piT1ruoo9vsaGPc0ehT2SlYo9REpzPZ/uYj02hUI9gI1LPW4IZz2Wfmg9yAdzPU4JgD3/zGg9ZVhOPZXYPj0NJ1Y9tDFZPdudVj3HeV89pVdJPbS5VT05p2k9ymV9PaoFdT2qRIE9+nd/PRkeaT34GVw9v1hcPYNjYD1YClk9PPphPUK3eD14t4I9lXNjPXegWD3VXlA9naxZPT3aZT0WsHA98TRnPbQdYz3vJXU9YDpgPVW4fD26rXg9HC1uPVf5Xz2xqWM9TQB4PWiwhz2Lu449ZPF8PbCIbT3TS2w99cKBPRlkdT08xmA9Mx5fPcADfD2gQ5s98k2XPTFejj0zXpM9ss+HPSboiT1FQZA9o5CNPT5Cjz2qJ309cqKDPWD2jD1Xt4s97H2JPYANij0Tq5Q9uNmHPUwrZT2dCE89VC9vPZhfeT3A5X09I4RnPSM8Yj3bHn89s56FPRI9jT0v/Ic97sJwPTiHeD3u44w9BAiUPX+smD3HEJ09+kKiPRd1nT1gAoc9ATF7Pdmvfz2+nYc91JuKPWakjj0VEYY9OjmGPdxRjD2EQZM9qTuVPWb4lD08RJM9/4ChPRO3oj3GxZg9oBqQPdyAmD23wZU9q2KcPYjokj0Wco49j46EPfrxkz10NIw98SWGPUTnij3L64s9H4KLPRxGmT0z0Yw9/4eTPRYpkz3t+5I9crmPPY5plj2EIo89PhmLPQYJkD3ERpA917mJPe6RgD1EnYE98iiDPbpZfz3jX2Q9+M1aPeWIZz2wg2M9N8tjPc/caj1wGVk9IvZSPboZUT1SJ1c9ZABgPdCiaz21AX49OEF/PZteiz3tFJ89/hGgPXkkkz1arpU9g9iYPUn4jT2owpo9mLWtPec2oz1uJZA9kLSSPYjIlz2+kYg9eX+DPb21dD3MVoM9eHmKPX61gT1BWYU90Q+IPWTSiz3HeJE9BLqcPYckuD2PSLU9wuKlPWYOlj0oyI89jZiJPY2alD1s3Zw9ZZ2cPV+ZoD09CZo9vCWfPX1brD0skqc9HeyNPe+ykD3HBZo9P12XPcP/nz0vHao9I3S2PeXOpz2VR589+PyWPe5/kz3IGI09owCUPZhNnj3Xzp49hPCnPaxwoj0bO5s9us+mPU9Ioz3FyZY9mUOdPSoMmz0CvZI9z8WRPfeslD1HcJ89Oqi5Pb4nrj0ziKA9sv2dPfHtoD1U5aA9gJyhPVGCoD2j8ZQ9RzuOPUq7jj1K3ow9xkCNPWBEhj2TgIs95PaKPe7Rfz2rEYQ9fr2TPaQirT0IIKA9rYmVPVS4iz1C5Jk9PDehPbXLmz0X6po97KCBPRuGez377Hs9w4WGPQY2hj0HvZE9V0OaPdfxkT0H+pA9WqKOPQdVlD2HEpw9hVCwPfazqz0MKLE9vGWkPThmqT27h6Y9ilydPfZOoj1JFKM9yyCSPUwciT0nKoc9BHiOPaz/kD0FlJA95nqOPZeWmz0ZT6E97SKfPdAstz3f1Lg97P6iPYiTsT0fxrU9WdOsPWSyqD3Va689r9inPVGdlz3ISYw9C7OBPZ4Wiz30B4U9HEqLPY0NiT22/4E9zaWKPcfWiT14QXg9fgN9PdKxbj1OOHU9CQx5PYFTgj3Xz4s9QzePPbs9jD0sKo097I+FPa/Ygj1s/3k9mftgPdgMVz2eOm093FiDPT1NjD08Rqg9ine2Pcz4sD3/eZg9pPiXPdUnnj16cKg9xvCVPfUhjz1toI89AkOPPe7hgz01ooo97xCJPXpNhz0s6IA9aDFrPX/GeD29v4U9NiWRPR48lz2BUI89tayQPeh9gz25QHk9jE+APf5vfT1NWYY9mZiNPaukmT0g0Jk9KQeOPaSIhD1wC3w9mhZ1Pc72cD25u449ffCMPafPhD27PX892+WEPTqFiD0LxYQ9Xf+JPWsvhj21QI09l92VPcAIkz0IJ489eFyFPe2GfT3A6YQ9v4d5Pe8UYj2YDkc9g2VSPfz6ZD3KE3s9e6h1PYfUWD1rZUc90cMyPfDGGT1UrPA8ypixPCJXxDy/1ro82b6uPO5LszzuLLQ8qGWtPGnIpDz3HpY8POedPAEvqjxgY6Q8rFSjPKrsojwy/qQ8EdaqPH2AnzyD+KQ8Lju5PNTqvDy9ELU883KdPLBqoTyyX5Y8TSaTPG1wmDxzRqA8YWqnPCGTlDztI5M8bQyVPLipmTzXdKE8yVqjPORApjz+RJI8vzSYPBLznDzsYqE8AHOkPOYJmzwqQI880E2cPKRvrzxpB5w8y++jPGUpmzynfo886qeTPCWUmTz5nZI86JCiPP6GpDzPRKk8O2WzPGNrzTxGbto8eynYPDP12jwDTOw8Wzz5PJvcAz20aAo9OzkRPUjJFT02Agk92T8EPWHoCz0gpwc9I+UKPcY8Fz2XxQo9yScDPcipED1A4A092MUWPbjTFT297RY98yUMPZfaDD1P2Qw9krUBPd9wBD312A49JTgIPVz8BT1mTQE+SWB+PqdSXT41GCA+Pe8mPpQ3Kz6dfBE+YCkZPlSbMz5YGxg+gE0PPkvmEj6+XA4+jpIQPlRoIT4CUis+M4gmPpLJWT6giXo+OGlWPrBJXz7EVj8+fDJHPriuRz7UcSU+QKc2PpJONT5LEjY+hixCPkV1LD4SnUE+7rI6PvmEIj5FADU+0EQuPm4vJz4p8CY+IoOJPmuHkz5pAkg+aWUpPot2JT4tnTM+RpVOPjgiLT5cdiQ+gy8lPj6YJD7v0yI+5iUxPhRoIz5EKSI+jsUQPq4AJT7YyTo++S8kPtURMz5OwTc+fQwvPoDaNT7pRUM+kYE6PqcXOz409kE+vMhCPjUVST7aeDE+5zk0PiCqST7SBy4+GFUhPsR2Mz4LKT0+JaQ4PpHAOz6r/yA+99kCPpUrGz6GqCU+dPUbPlF5HT5rEB8+AQM3PoylMD7+3Q4+/7YFPohBMz4B7io+0HMxPpnWKj7rnTA+518vPmCHGT6riSw+foAqPuNWMj5F/iM+AVQ4Pg30UT4tIzg+MWQ3PmdmKT5pYlU+fbNrPu68Vz4aE2o+kHqOPgivZD5rcxw+EKkcPpWbDz5B1SQ+ugsZPkNMEj5NASI+YMIZPhwzMj5X7ik+5oA4PtXCVj6B6hY++kMQPjTnDj4myxQ+eaUbPmv+ND4qfFM+H3w8PuQeVj55wWQ+lXVRPuftYD7fnlg+0usPPg0ssz2LbEA9Z3L6PPHTwDzMFYo8cqKUPAHvmzxRC5A86r+UPBnxnzy7tqQ8Du2gPOk1pDwYu6Y872q2PKuYuTwC1sU8EhvQPG1/3DwIA/c8Tfn5PNwD6TylrNM8d43mPCMJ6jyKi/U8a5n3PN4T5jw2Td48QGPVPBYv1DybssQ8eRXLPBVyzjyy0dY8cbnfPAyV9jw9PQM9pykEPbiNAj3ULgs90CMUPbWsGz2TNxk9JdkbPR23GD0jiRY98VYWPderFz3z1Bk93uUgPTV5IT0xOCc9IjMxPQE+Lz21QCo9sB0sPeY6Kz1UzD09fd9IPT6rST0jPks9VJhgPTheXj3XqGU9AE5qPRSDcD3fuYI92eyGPT3UeD0ivn490Wp4PdjShj0BE5M9WZ6KPTj2hj3i2YM9j6SGPWFAiD3bQoY9InaEPcO5ij3x7Iw9tPeKPV4ujT2PXYs9Vr2HPZvTjz2WuYk9njKBPbb2fT2AqXI9eTNkPW4yYz0FeFw9JCJWPYC7YD1HnXI9GOdrPdG8Yj3fUE09L+ZMPf7BUj3VWlw96IhaPWElRz381UU9MVdiPSvraz1nK3U9isVwPTbwZz0Bn3k9lQ5aPc1ISz3MD0E9ij9YPeR3Yz2rbVY9wrNXPeVgbD012lE9YoFXPVpkZj0KLnU9ne9xPcTYbz3u52k9zgFzPSaHcT3Z5IE9JzdwPbplgD03CGs9L21oPZneej1L+HY95/WBPWDQiz0WJoE9oaFmPXroZz1yt3M9nPd0PfQ9eD3doWc9+tliPQv+cz2bAIQ9VXqJPc7Agj2OBH49yOx0PWxWhT0/jIU9zuSBPWxAez1jo3U9mRCLPdW2ij0+z3o9qm6DPa21dz18F4U9NVWBPVbPVz0cA1s9LypZPXzDXz2Q62o96Jp8Pdvngz3jkIs99G2PPe5Mij2763w9jkOCPchflj2+SKE9oHKdPWYanD0nN449KOGHPYXsgT2Df3A9VcV1PW9ThD0S7nk9G6x3PWiPgj3WV5c90aqbPS8flz2/jY49OseUPbZ5lz2sTI49Bh2FPW4Obj2xFH497w2LPXwtlj3YQJU9Hs6RPSm0jD1zMIo9qC+JPXnRgj0DaYo9osOCPfpUiT3KSok9eXqXPT5wlz3PUIk9OreUPdCFmj3wTJI9orSQPWgekz0qX449z1WSPX0Rhz394YY9Mrt0PfsLbz0JaGw95uZmPQ3CXT21LVI9E/taPdQ2XD3b5mY99jV5Pc5OeD2Z4Wo9mVFXPewAZj3/4V49dypoPZTucj0N+Gk9D+OCPaWsjj0BjKA9F1WdPRCyiz3eZpU9MeWCPZr3fj3NL5A9mWuMPUS7jj03O5I9K/6HPRLffz0eOIk9DSR9PefSiD391409OvqJPYEkhj2x2ok9xtyQPV94jz3CAZk9tzGXPRZipz15MZw9CbKfPZluoD2MvpU9TTeJPRtCmT2L0qY9v6WjPWxxnT0+t5U9Yw6qPUbloj2Mr4o9gE2LPYPvkz1olJI9E+KcPYJrnz0iP5k95uKOPfJkkD00jqM9ZGGkPU40lj1WSp89OxqcPY5eoj3Q4J89d5eiPb90mT3Iv5k9N/KaPVDznz1N8pM9UxWbPTtqpj1dkaU9ajWiPbsSnT3il5s9uCuaPa9+lj23zpg9GeqbPZSMoT3o5KM9AYKoPWTUsD0eEaA9GSuVPdgemD0sqo499w6EPXikfD1G8Gs9H41cPdZkSz3qPmI9qa5+Pcprgj2THI09YdOYPXe2kj2HH4s9vKCLPRvSkz31No09a62MPfo1ij2ZapY9QBSfPc1Gmj0guZA94O2DPdgNhT1ulYk9WYmMPVQynD0w3bg9gwHDPWTCqj3IV5U9U6yaPdg2oT1RGp89I/eQPTkPhz0wr409D8GMPUY7gz1vpXQ9bjiDPcQCjz0q15Q90g2iPUdOoD2YxZs9ujumPeH7tD1fFKc9MIKfPRZRpz0Y/6Y9/gSoPUTynT18tZo9CAqePa5dmz19xI49/SOOPXqSij05uIs9d/uVPQczjj1FhIc9qRmBPYniez2u1Hc9n6pwPX8ufD2cg4c938uEPSUqhj3NU4E9AB16PQXthj19X4A9yyKIPTftcD0OzHU9Z3aFPQlBiz03tJI9nliPPeY5jz2eCZE9hY2fPV/YpD3D34w9qMmMPZGDmT2P8JU92FSQPfweij19moA92LCGPYGsfT0Pn4s9IgWRPePJkD39kJc9t9KXPfmMnj30LY89JLKCPX2XiD2Xw4k9V3eDPTlhiT0WPYU9bgaHPQY8hD0p1Yg96HmIPd0pgz0S8YU9PT1nPbc2bD094X89ib2EPZu2ij0MCZA9cNSOPRszmD2f45k9X1CfPX4wlj3u0ZA9+AKJPeGUhj2Ono092dKLPVFMiz3Bros9nPWLPW3kjz1t/II9p66CPYephT3arIg9CkeEPYV2gz0OYWU9g0ZNPWQbOz0uWTo9Z3YAPa2MvDx6mL08rjGyPFQtojxzaKo8+vOXPHGmmTy/FKo8vbKvPEHLpTxaTo88gG+VPLzumzx016Y8Qzy2PDoXwDxpn6I89LCtPGyLrTw0zak87RmsPAbmsjx8bp48uJyQPH0smTw9M6U8mbuaPNn3nDyOYZw8h/2TPF6Flzzm35M8Hv+MPA+EjjxBnYw8EG2VPLerkjxJTIw8AkqPPBpamDyICZ48bfmfPG/PqDzSt6E8WzyfPLaNozwHhqA8YVuSPHaEnzwws6A8l2iUPFa9jjzTz5A8sAqTPKNKnDxNaKk81WiwPDMIxDwWVcc85WzDPOCYyjxcit08ZMX2PHYGDz1pGxg9AHkaPfK+Iz1MFRk9JMIRPVfnBj2ERg09ctsYPX9jEj1HvQg9s0IQPe49Fz1B8xY9ynIPPehXED2wagY9ItcEPc/jBT3Hjw49luEXPVVtHD3KHxk9Zz0RPYq0Ej3F4Zk92mgbPtr4KT5eFEs+FulGPvoQPj4O4zw+uWcqPrJUJT6+Qw8+9xoLPu+RED5RjRg+Ch8ZPp9tID44R0A+Y6w+Psqxbj5OpXQ+f+1TPqsyVz7eRUQ+DTsyPv0VLD6BwlQ+Q0FgPv8EOD5kQTM+EMofPnb/Hz58RDQ+K0YwPqQ2Lj4a4is+y74gPlpsJj5MeSE+VzI5Ph2DUj6Q+io+nAIhPmLzIz5uJDA+ejs/PsAIDD7Seh4+na4gPpWFJT6NNDo+jEUxPmzRHz6tMC8+pLYhPiojIT4x0kA+mTBNPkrcJT5MgyE+GRclPiQcJz6ggjA+hh4fPlcZPz5RODU+dVEvPqUlLz6+JSU+XE4jPmpJOz7UKE0+3zIxPh/VLj4vTSQ+Xm0vPhQnNz6teBs+lj5CPtbNJj7q7hw+hfwiPgQMHz7DhB4+1WRHPoZSLD6gCBs+bi8LPsaCGz6yKjE+js4qPqgiOT4aijQ+Kb0TPu7eLD74PmA+yhNbPnwDPz41MzY+vQlUPj6oQT6G4yU+ADNFPnPdQT6HITo+SF4qPjW5OT75mDY++MsvPpBvMT6hGCo+LWwyPtL8GD76BxY+YKUSPoCNCj7TXhU+3MsUPpmFLj7yPk8+8u0jPuSyMD5Coxo+JFkOPlwtFT6LbUA+KcYyPoYyKT5PRks+dMpjPgYdZD5XD0U+oeptPtODMz5zCYc9w6T+PDM6ozxJjYk8In+fPAOhtDx6MMI8W5fPPKQDzzyN8cM8LHfSPO+uyzzo+M88ScLWPG1v0Txj0cU8VgrMPCQ0wjzg1sc8DFm+PLD7zDxjIdg8K3PfPI0B5DxBM/s8/r8BPVC6/zww6AE9mmf5PJbe+zwwtvg8tZjrPKTL6zwCNt48csvhPKjE9DyNk/48ww0IPXFcBz3wWAY9fdwQPbqbDT1Cahc9r2YbPeFmED3KmRY92JEcPThwHD19iyA9V0MkPSzyHz3IWSU9YX0yPa92Lj139TY9S5Q4PR2XNz2LwTo9p+Q7PUQyRz35iVo9HcRgPflmYz2MCGQ9RPJ0PRHxcz2Y0n09WsSBPdCmcz1W+oE9ta+BPdwQez3E7YE9RZOLPQr2kD2DUo49geOKPcVvhD0Ym4Y9YP+EPXMgiT3EdII95/GEPctNej2y9Hw9qpGFPQBCij2R2Yc9SReOPeWbjz3O5JQ9UjuFPQ5aej0p5Xk9mh5oPeR2Vj0Seng94FZxPSMKXj2LhWM9qS9pPWaSWz2IDls9n0xQPQzwVT26eGA9AoxZPajGUj3HTGU9XahzPZ2gfz3A1IE9NTdwPfqtVD15OlM9K+1UPUIQWj3hOVE9U41NPc+aUz1EOlY9qI5cPYInTz1qHGE9zmmAPeTlfT3JgnM93FlsPcR4cz2TD249J2FyPVgceD1Eink9SBGMPQNylT2cNoI9Mfx8PW+mgz3wu289l99qPfyKcz1IMWc9uTJfPYyVZD1ROnM9RR9oPVinZT1f6Hw9OZKIPYCJfD0qY3s9OVWJPbmFiD2lkow9dpuJPW1VhT30/oQ9+wp+PRcNfz1oSJY9oUWIPdNwjD1RnI49NCmRPXh7hz2sGog9GuaIPeARZz0U3Fo9knFsPRLKbj2DWHE9rSiIPT7LkD0KQJU9k5eDPdZdaj2ZCoc9rSaOPYxqmz1Uqpg9KNWBPdYojT2CRJw9Emd/PcV9dj274Gg9B8lxPWQyhD37L5896W2oPfC9kD1ueY89tV2WPZmjkT1MNJI9ILCRPT81hT2f+n89+4aAPTtziD37FYg9f1SKPejugz0g6oc9RcaMPa+2hD3TtYg9CeCGPbl7gj1+t4k9TveWPaGxnz0VR6A9YUafPayrmj1RBo89qiSTPXd8oD2UeJw9Ow6aPTDAlT26pYw9OJ6BPRH7eD13v449nyGTPXlMfT0rB3M99Lx2PSYQbD0aNmQ9FlBlPZ0zZT1q9HU9HAV0PRUDcT35Y2Q9695UPbXGYD3rSnM9WW1lPWbXgD0OJoU9p/mIPQQAmz3PqI898p1yPWJrgj0oKn09l4yEPcm0fT3ySY49Hb2YPbt5nT3TmZM9Wz2EPfPqkD0/8oc9IUCNPcHNkj1m94k9ewSNPfrmmj0qHaw9haCfPUuxgz0lao89BWWiPT3hnT0ycJc97kCcPaKUoz1MLqY9zzyePZUkrz0FM6s9iIKaPXzcnz2FWps9FdWaPUNEoz3PdpU9RIGPPYMujz1Owoo9Bm+NPaH3iz0VhJw9H/SUPSSemj3qjKA9jmCTPVRFkD0Tnpg9UQSUPXLGlD1LnJQ9z5WjPXHsmT2vbZk9obOcPY73mD3WKKU9lfWsPUDcpD2DsaQ9T0aWPZwjlz3zjpk9bnmNPUQzjj1OHps9HvGePSiGpj0TJ6Q977WlPQa/nz2g46A97vaRPRaHhT3Kf309IK1wPVzzXT28AGY9RzxuPTKNXz3JeWk9U21vPcMJgD3A9Zc9GrOyPYKzoz2Cj409mHuOPfM/iD16hIg9LViRPXy3iz0J3Yo9yxOHPcIajj3b1449WyqOPaDkmj1iVZs9ESalPaMEuT1x1rA9HZWsPazXsD3aNas97sqsPUxUoz3jQJc9s8t3PYI1ZD0nnW49nwV7PQBugT04rIc9amaMPegZnT1sP6I94XeiPY+dmz0pX589xK+nPT0fpz0wWqQ97TKlPfZwoz1KmqU9SGKiPfLDnz2T+J8904OsPYoosT1PaKA90/aTPRn4hT3SSIc9HCCPPSVuiT2FDoE9JgaWPY5+kD2n4Ho9VnlpPcixfT15CoM9ktp2PaghbT1sMlw98MVuPW3whT0hFo09hVGDPTJ8gj3Z4o49CFuZPQWWmz1wNpI9TDWJPeOCjD1Fs5M9ALKTPQHwlT2NcIc9bjGBPaRqhT2BTIQ9QhF7PQMEYD16nG098UVwPReFgj2U1Y896hKMPXPUmD1F1ZY9U42cPXw7nD2R1Yw9vU+HPWwpiT3t/ZI9tsebPSExnj1WrKM9WESRPYf+jz00+5c9RXeAPc3+cD2M/XE9V3tuPSmnej3KHog9DN+JPTbbjT2G7Js9HUCWPXNomz3nDqc9At6uPVDUkj0SSXw9Vq50PZNCdD2eLX89mqmHPVFKhT215Yg9O0iIPX0Ehj1wGoc9Qr+JPalElT3ZSYU9z8CEPT9XYT1n8z09fFUdPSeC7zzkiNw8Qj/QPNy5wzz72bU8DkGvPEyUqTwmT608OLKnPJySqDyMbrA8XOeRPEEUkTxxbok8IsmMPKKXkTyMPZ88elG0PC95pzzjpK48caa4PMVFrTwC9qQ8YBSwPCXCpzythaA8dcycPLGyoDxpq6g8Qp+oPBTFnzzKyZc8gASWPP6slzw85JU8i06UPMnhlDyzEZY8+/6cPCMCmjyC2pM8TRuKPL0oizzXHpg8JnmgPC7kozz9G6c8FrKbPJsylTz/k488ICCOPDnRiDwuq5E8HFqUPLMzjjy6JIU818KTPKicqjxgsL48/+q1PIdh0zwSOeQ8olnuPFiC6TwLFeU8QwT2PJ+eGT0JACM9jKYcPVMcJD2yNRM9Pz8KPZ/kEj1n2hM95HwVPXPxED2lHRw9pyUZPVOEGz1epCE9oPsRPTSJ/Dzwif083gkEPSZQBD2DfPk8yHsLPdt0BT1UYP48Prr1PFUu+jzlHhU9/KhOPVrY/z2cyUI+tbWRPjQnPz6S5BU+kh8lPm4/Hj64YhM+FngUPiYkJj6bdSo+ukIrPuKrNj766Uc+0t0/PqTGUT55Alw+PMlVPka/VD7FQUA+WJQ1Pg/6Nj4FHzU+XghGPrR5OT4rHxs+6ikcPjOGIj6vmCE+9eYiPoV/Jz7vKCQ+bwEkPlfoJD7zFCI+dlkZPlhoFj7Bqxk+ObccPmI+Hz5/RCY+vBAiPur6ID4K0Dg+BGo0PlWLJT7UmUM+muQ9PvQDNz69zSw+AogcPjmhGj7uqiE+2fwgPiNKJj6hQzE+qQIqPruaLj4jQCc+aF4mPkPTMT51ZSg+tFYoPufbLD7b4BM+0oAYPvWVJT7i/Ds+YO9KPtlEOz7lzC8+9xA8PjzcOT5CwUI+ii5KPii9Kz79Wyc+2QIrPvSBRj47iyw+KJJAPnsSTT5e2TY+XAIRPj5ZHD5uIyE+wyktPtCzRT51CjU+QuEWPibmPD6F7EU+t4B1Pl5Vkz4/siw+VuwuPlILPz71Qy0+hc9LPpvrRD6lWWA+pd1DPp/TQz6KUzs+EbFCPgm8Lj4lfiA+lAocPn09GD4O3Ao+FJYVPrUEGz6wJyk+BqlVPp7bVD5VaEg+DXwmPo14HT75+B0+EO4aPmvACj4JezM+E1FOPuUdPD4etUc+Bp8uPneB9D1weqk9xgaZPUWtPz1beL085TqfPFW6oDz2ua88BgmyPBH9sjwrc7U8tl+0PK6RvDz8NsI8KOnNPLOA3Ty5tds8MlbnPKNX/Dyx1uk8GPfrPIsF8DxXkP48tl/7PEHv/zyoYQA9mSANPW+uED1n/wY9tGcMPUagGj2Muxc9ij0VPZPpFz2TCRg94NEQPeQHCD3d5Ag9gQISPXONGz0/7Bo9bH8iPbofNT1W1Cs9h4QWPfCfIz2I4DM9X0c0PXz7OT0e1Ts9Bto+PaMiPT0GyDg9YH1BPcU4OT1zNkQ9HEBNPcHWSj2eklU9STdlPWGhZT1Q6HM9+cpyPYV4cj2W9IM9fjSKPXGakT3O9ZQ9ckiMPWE8iT3vOI89KYqTPeiWiD3rWoU9z8WIPVU2gj0e35A9blKKPRfagj0I5YA9YDiBPVgVeD0783Y92uh1PV5Qhz1A5Hs9Pkp0PYI1dz1IPXc9P090PSEedj0a3nM9kJyOPfJheD2pxms9qjJuPRJOdD3Tw3w9+6x9Pb0QeT1Aq249f1tnPZx4YT3mkWU9FMJWPY2nXT2OM1w9evNWPXCIbz0Pvm49HGhpPQn8aj1pWnE9F1tpPRElYT0eDGM9NtJUPYZgUj3dr2A9OiVgPaooVz3a3E49XNJmPYMBVz0h3lU9Z/tcPdwAgT0dM4w9Wxx/PWuSeD3A6YY9w7Z5Pea1gD01sYY9G6yDPawjhz2L/JA9pf6IPdtQfj0MTVU9wgRZPeoVTD2b/mg9pGhsPYzsYj34Kl09oy1kPTClgD2kE3k9QLlxPWo5aT2KiWk9jXxyPTtzhj39R5A9G5aNPZB6jT2uzWM9aZBjPfkJhz0jP4U9D3tzPfLshT3M85E9C1CUPc/0lD1AV5k997SbPdKOkj3UPoA9TV1bPcUTVj2lGlo9J5NuPfuAgz0RKJA9zBagPbiAhz3w5WI9zSZfPdrEcT0FUoY9FxSOPVR3iT2g4og9TwJxPfBJcT3pWoE96BRfPWfzeD1OqYQ9mEaJPTTekD1+KpU9AcK1PbskwD3XXaM9tyWVPYEChT0sZ389aCKNPYqXmD1kuZI9CiKHPTIVij3jmXY97d9mPUVRbD31Z4E9tjSNPSZnkD2KT4w9IiJ6PWd3hD0XSaI9xCKxPVHQmD26xJE9V+GVPQV7mj0bGJ49x6eSPVmwdz3uBnI93l2BPZTqkT0YQIs9LcBwPRjtZz0vEYE9Kz5/Pc1ffD3LZ3A9WU9oPTdYYT1mP2s9285gPeoObz3mmXk9eYpvPSY8cj3e6Fk997hfPUM1dj0kung9FNiCPZO7fj0CfW89/B93PW8Gej1King979t8PQG7hj2Q7YU9fYOFPWNMlD163JU92c+TPQOujD152ok9+0mKPe2KjT3EEYo98qGaPQCHrD2ZI7A9qvynPdKwoj1gGp49vCqTPTyBhT3YrYc9doeBPagljT0gEps9nAKiPaJKoj2146g9f2GsPVKooD1NgZs9uY6wPaVWnj3/FZ89Qw2YPVrokT2IuY89xRyKPTD9iz1SBJs9EreePSOTlj1O/5k9P5+fPbhUsT3xG689XIygPfPQlz0g24g9rX6PPVoIqz2sipQ93L2JPcEzoz1c3ac9Q2ajPUzvkT3O944928mdPbBhnT1Y/5Q9yXaXPYGFjz0f4JI9rFebPRIjkT1ULpg9mZOPPfkXlT1FQZM9mDSgPYH/oj29SqI9ELaVPdmjjD26yog9mXuRPaxMiT1mBYQ98x55PQiPaz2oO1897ctwPXl8gj32u4s9u46dPSUkjz3GIY89TtGEPfvIiz11pZE9WuWZPVvIoT3O0po9mTmWPeDMlT24z589kVOsPVbomD2ULpU9kH6gPY1ypT08AKI96AirPde5oj2j5qE94M+YPd4BhD1sbXI9rAxuPVIUbD2IN2k90ZqLPZ5bjT2/s5I9h/qcPdnKpz2wK5k9D9KbPe4Boj1Jo6M9GWGdPdU+nT0LMK49BOygPSFPoT2hx6c9GESdPZZDnz0sn6A9fXmePQgbnT1aqpc9agaRPRWAhT1Qr4A9Io2LPUagjz3gEJg9zt2lPeXrlT0OQYI9acyBPYcniT1/L389e6pmPXjiYj2RRWU95FR9PYsreT0emnA9CDuQPcmBpj17/5w94tacPWz4mz1LKpk9wCagPYXBmz2KlJE9HMyPPQFvjT3u3YM97Dx2PV/Bez0xR3E91CFZPXQLaj0gUYM9hneKPULGkj1JpYw94N2QPYDvlj3bd5k90veFPT19fz0utnY90bd6PVtfhT2+FJE9IFykPZI8mz1ajIw9vHWVPdWniz0ia4k9CJKLPd4iiD2C5Hc948ZxPamWfT3204o9gLeRPfygmz2AAJo95PyYPbfShj0C3JU9uYmoPV1doj1yvas9COuePSDQlz2ZkqA9vGabPTj1kz3XDZU9cg2KPTDEjD3M9Yk9p4+GPfK5kD3Li3g9WytDPU93ST3y2C89//v9PIgYxjwC36s8IY2qPPrAvTzHANk8mKDQPCPUqTxQlpw8D/WSPM2+njzgGpg8w9uCPAp7jjzdSaI8O+GYPBJ/jDzUo5A8i1CRPDP/jTyh4508GGKZPKhXnDyQ9qM8XfymPAjVnzx5uJc8Xh+dPI53nTxGVI081JmNPAV3iTyeRIs8eNaTPL/PmjwU+5I8HdeUPM0+hjx3Yo48WCmgPH0BmDw325Y8PkCaPDo/mjzI+6M8806pPDGznDxgVJU8H0yQPBNejDyY/Y88foWMPDPujDzO/ZI8k3SPPDu6izx+1Ys8xUeaPM/+sDyL2bU8kKa2PJHPxTxJodU8CjTcPAa76jwhkfo8TEP3PBUWJz0XrUI9gqARPXN2Ez0KHCA9IEwQPQigFj3dBRY9Pj8ZPZjZHT1AbRI91EsZPR7sCj0Bivk8xkLaPHTC2TwIB9Y8i2XkPKTA/DygXuw84FfdPJzS7zy34vA8jePrPBF05zyYwuc8BJkXPY0HhD0nLAM+juPuPafdOj1HIno9VkxQPVeuVj1Jxxg9RMqjPQA5Hz4o4Sg+4DoqPhSpNz6vKRc+wZApPqeNQz4zM0w+tKZGPs4TPD7aPDw+281KPlnJPj4WfEw+KZQnPu6jQD4NPTw+vJogPuxRFz6uCB8+yeclPml/IT5NNCQ+3JksPgGzHD6R3Bs+c/glPgw7Kz6rRyE+EJcbPnZWFz7+PCI+UKwpPotLIj543k8+k0RFPrImKT7irCU+28UzPgcZMD6lXx0+hXobPuuuCz61TxI+McIdPsEaID4EASk+2nMkPjnvJz5FyiI+VmQgPiiUGT6x9A4+RZAcPruZSj4nNTU+Rb8aPiswFz5tjy4+xY9lPpWHJT4qRx0+XTMiPs6CLT4yOTg+PscxPswNLj5ydDY++384Puy9Kz4dhB8+Be9BPlfCRz5cBQ0+LQQQPlqtKj6pTyU+ThoTPnZoHz7xfx8+hQMSPqu2Rj5TVgQ+bx03PhTJbj5MvyI+kLoPPilxJT7vOSs+9oUPPmc/FT5Ltx0+LmoRPkYcKj4ZcSE+2aUTPhdRGz7clTI+QnIsPqEgIj4rUBk+PjobPujYJT73BSY+Mk0yPmOHTz5+6Ek+lfZBPhjxMj74XSw+Y8gUPtiSGj5VHUM+qkstPqI2CT6a1/I9Ob7SPeGdUD1squA8VMzFPL0ltjx8NbY894rLPFZu0zxH8rw8D4vBPF9Vzjycc888HfjMPDhJzzwV2M88JPTgPJhR/Tya0QA91LoAPeV4Bz2izfs8QmMGPS64DD2ArAw9zwsAPZCZAj2VHAY9w/0TPcnaHz0SViM9ohMYPThxFD1qgxw9yaUZPeaTJT3XUi49B9UmPd41Gj1I6Rw9SpUoPT7ELj0mIi49HNMjPeAULT1SoC09jR4oPdPtMT0elTo9n8ZFPZgoRz1PAEM9H2o4PbM7Pj1Ouzw9kOtEPV+3Rz0O5UY9RTRRPdRaVD1Pv1w9YsxuPed7cD1DtXk9PKR9PfVsgD2L5Ig99lCOPQBAjD1StYk9trSHPVcAjD2Qt4k934aPPZe6kT34Ep89SeaUPamJjD0905U9JSqbPd8llj35l489G+uGPbMWjD0diY89FmOIPZgjhD0RRpM9htGSPZXQjD2uBYU9szSLPZjWhz1B+Yo9nmFkPelXZz39LG09BMeDPVFihT0i2HY91J16PbUIaj19CmY9Gi1ZPUU5WT02l109Z9JOPfU2Vz17TmA9gUFlPQmJbz37omc9J/diPbn6XD1kuGA9ZqFkPRKzbj2jOnM9QUd2PZODYT2cnVE9jphKPTStaD3eGHo9DFxpPXY6Zz2zI1w9UI1kPeZ8bz23u2o908d8PZ1Uej3d1nE9l0h9PVMLgz2Jaos9i/yEPX+qfj3UBIA94xp5PSlNZD2yImk9X9FpPQyzaz1wem09KRV4PVW2gj1CR4I9efGAPVJ7cz3jNXw9ARKAPUR2aD1+AHQ9ohqFPeKqiD0925M923aLPWaGgz2+tHs91oZ+Pddkhz1QWYw94LCAPc3gaD2d73Q9o1qEPV7Khz32aIE9lh6IPeOkfD3PnFE94uphPSlRaD1IKXY9/jOIPTtLjj21jJk9R+GQPbfhcz2fBHc9nj52PRcRgD2Zc4o9OFeJPWR7hD0vSo491+eFPSPdYT3QaVo9ZNJrPfNjgD3DXX49UaiAPaL4mT0frqw9i6myPe6frD2Wco49Y5uDPUqWej3bEY49S3WMPaZOkT3cy5g9b5OHPXOlgD08lGo9J7NuPQ19jj1US5Y9wy+OPX6YmT2vp5g9UtKIPQJdfj3Mvns9Z1uCPZkWhD3IU4Y9dnGTPclIjj08/YY9vP14PdbOaj2LooQ94giDPbh2bD2tuXE9A1eAPb0rbT3/zWM9tcJoPU5hPj1uskQ9y2FkPbnNbT3i82c9fwBjPVBwZT3u73U90/lrPeG+Yz3Df2c965FzPUKeXj0x/l49TPxkPfCoXT1hSXI9NeFxPdQ1Wj0GZl49dUdYPaSJaT0JYXA98DyCPcTJlT0Mpp89oC6fPZjXjz17RIE9M4KFPeR7kj1JwY49bkqPPYyRnj031509DR2VPShJiz1F4Yo9n36GPVxkgz1JPoo9ybmVPXInpT3jDKw9K+2aPc03kD1eMY49sY2TPa/JmT0VlY49q6uOPd98gj2snZI9a8OSPZ+Zlz2s9549rzWZPbuZjz1+/JA9V8iMPV7dkT2K7ZY9kN6dPdfzlj1gc4Q9Tg13PQMYeD0J7X099eCPPRGdnT2llpI97MKKPfPahz3hsIg9y1OKPUVdkD11sJA9y7ajPS3qnD2D05U9u+2gPVJJnD30jY89SHaLPVEihz3Cj4o9tYabPccinz3eAaY9r9qiPRj1lj1My5E96+SIPVV5gz3Jnos9JImRPTZqjz0w+I89I4SRPab2lT1lEJY9Hq6TPc8mmD3EuY89RpGLPbRqjD3oV4w9BraNPbYYnj2j/Jw9K12aPfAlnD1r45g9HeGaPTc2qT1PxZc9EsKQPY08hz1h0oU9adJ+PTqjgj1aYoc9Zm6OPXWflT2biZc9kk2UPTyifz3ecIA9/wKAPTBRjT3CcJc9KoWWPSmLnz3QeJQ99NqOPea1jT3Fr549DEOdPbPnrz3+irs9Ph2xPcgJmj07OZQ9JwyLPazbiD357Ik9s+SFPTj5jD0rpZA9n9mjPQO9sz0zQKU97+6iPfP6lD37VI49vp2aPQ9Loz3tZKc9AXCdPQ76fD1oMmQ9/210PdCXXz1+P1I9xAFQPTgVYz2e8XU9HhqEPZOagT22RYM9M2CWPbj/qT16+aU9lOCYPZB4jD3Vgok9N0mSPaFfij11gYg9UXOBPdAOfj25DIk9hrWEPTRGgz1lsW89iFR3PR9/gj1wZoY9Jk+NPWVNlj1mEZg90fSbPYlIjT30Xnc9nYNvPZuVcz1kL3E98peAPbE+jT2JiJI9oeaMPW0KjT0n34o9RyiKPRivhz37noE9wWeDPb6pjD1zLYk9Wr1/PfoSkj38rZ89U02cPWytoT0xCJk93bGXPbLwnj2cXqM91WmqPS+PnT2eHKQ91+CSPdtGkT2YJpY9jI2QPXcglD13R5U99GuXPcbFnj1TQ4g9/xJ3PewFWz3NpTA9TeAhPbw0ET2Ajwo9ZXX/PC5yyzxGeLE8MeG7PJUdtDxJLLg8VPOePPTTojzSKK48gRuVPBMLkTwaMIc8D62NPLiXlTygNaE85aykPOImlzzEP5c8c2iUPHgCkzwZx4s8fY+LPDDSlzxsPJo8U5GUPOztiDxqGos8jzqOPIqOkDwDVZA8+eiWPICGjzwWgo084xqLPNiujTwFRIc8xo+VPAZ8ljwE/ZA8bxaDPMTVmTy1N6w8n1GrPM+LmjzdpqE8oIupPDexjjziypo8jjCgPGiflDwqoZY8liiHPD/HlTyO/5I8xzaaPGuPiTyeYpI8SMWdPPEbqzyLIME8Axi6PBONuTz+3L08UbrKPHAg4Dx41fI8LV4GPV4XMT0IGkw9YIkvPRc+GT1RsB09mJQePQuZEz1oePs8lvECPYofAz3D8t88Yj3KPNVKvjxOYbo8hjO9POyi2DwF1tg8HQ3XPKed5zzl5uE8WwPnPEeX7TweU+Q85JzpPHv8HD3VzGg9j3xSPYlt7zy8UfQ8lt7JPKTxwTwTq8g8s162PB+8nzwIcL489O/xPPu8aj2kiiI+EfsHPs9Ayz0pQLU9GmPfPbJLLT5Gejc+IgMWPk2END46Ok0+K1pFPkULQj6lskM+odkpPjQVMj6BwyY+TRMcPokHHz71Fy8+1MskPk3XED7OEiI+nQcmPuxTJD6U2zk+nbdIPq6AJT7Sizc+ppA8PrJsQz4xiT8+6Kg3PimfLD51/zA+dEc3PjTwKz5k7Sg+7bk+Pm4KND6QvxQ+RhsTPjayFz6a7Rw+SuYuPvIiIz7JpDY+zZMxPsUULD54XCI+2eUDPjeyOD7qpRw+/2IwPjEKTT6IJTU+3IUbPlgJDD6rgRY+iuotPgjtHz7gghk+BDkkPpW9JD6ZQxs+KfQnPuMSHj4GeyA+2+IePqePFz59wBI+b2YYPuQiKD5F3Ds+cmQlPstoGj685xY+NWwpPpeiEj48EfY9sGo8PqtKMD7avwM+0IDlPTGNCD5eWS8+aGRAPsH1KT7u7iA+w04bPrr9BD5FKhE+xm0VPpnZZT7Kplk+yFQZPot0GT660x0+zesPPgWWGD6iKhg+arcXPt1QHj7heyA+5pgnPoNrRT7H8z4+7UIwPv8rDD7QRwU+KwEAPsLA6T1MJ9E9euWRPZO1PD2+/w09BfLzPGb4+Dzmp9k8o5LXPCME4Tx0V/I8KlPyPK1P6jwMSOg8+prrPHjc8zyDmfw8zmwHPcO/DT08owg9vCgMPa2VCj39kAM9ZxQOPcfhFj0OSxA9toYVPbauHD2bkx492DQaPWvDID2LjCY9soY0PfKfLT0jlSw9QFkkPejfIz3Lvxs9n2UfPY2FJD0o+yU9/VMsPd7TKz0WOzE9BnY3PXu0MD0fkzQ9DjszPVqQOD1o00I9nKxCPZxpTD04WVc9rrNSPclDVj211Vo9bb5xPe9FgD3A01Y9k7BbPUq1az20e1s9YmJRPfBfUT0SBls900xkPZfnYz2+BWs9SLZ2PYfEfD0N9IA9PL+GPRFUjT07eJE9r8CLPcF5iz2vAJE90jSKPZhxiT1QiZg9zAmVPasgjz0qiIs9blWNPb6Xjj1IWYA92opyPZKbcD07SIE9M/KGPeUBhj3SKZc9GI2QPRVNjD0EHIg92qSKPQ9RiT1Y75o9IKxxPVI8gT2yEG893PtmPVPWXT3iEVs9uMxZPdu+ZT1ckGg9G6ZkPcPDYj2lN2Q9y01aPffJXD0PQmM9VUFoPbHRaT0RB2E9PjRaPWixVj2ASVM9s6NfPWe2Yj3C3nI9fUhlPU/lcz0XuGw9eapcPWPaYT2ThWM9Hx9cPQONXj3EKG89/6RtPYKtXT0wWFU9glFXPR+/XT3YxXM9O5+EPX/ziD1X8Jg9EpCOPdwtbj0462c9ebtiPWw3cD3VgnU9getsPZBBgD1acZM9qz6YPTJ4jD3/znE97Il2PS9Aez2b/oA9JIuCPX/mdj2hlX09z413PfYEgD2syW89NYdmPSWmfD3LmX09EYJ9PUDPhD0A3XQ90YZ6PXdNaz2kuXc9i36MPalohD2Op449C0uQPUKZeT2iCmE9e3lyPXjNkD1LqZQ93dyFPVuKfj2npIc9T3iLPRqkhD3MBYE9wjRvPZ+4dz0OhoE97JeGPf4Ldj2VBW09VsJPPag1Xj0phok9vSuKPV9PgT0OFXc9RHiNPcr9nT3B66k9CIO4PcsptT2fI5o91OGNPSCphD3i2IU9tqiGPZ3QgD3JC3o9PIdzPXW+hT1HaXk9lE+CPQsyhj2ysIA9j8CAPXOygD17NoE9P3BmPZR8Tj0jtlo9bn18PTBOhD0NLX89BBR/PVBYaD269lw9bjNfPdfbbz0tj3Q9ocdrPXB3Xz1fNl09k5pXPaNgWz2+51c9FrJWPacmYz08VFc9LhNbPU5ZhD0bsaQ9AS+YPSL+iT3G4n49tyFxPbuTez3p/349Je5nPVS9cT1zYHA9I7FvPflSdD1rdm49HkxmPUs3aj1Zr1097WddPc1gUT1O0mg9IWuJPa4BlD1Ye4s9I/iYPagBiT1DoYs9EruSPRw6iz10P3s9yeh+Pa2Njz3Q/Yw9BQyCPcrzhT3trI49BZaHPU+ziT18JJE9dJ+OPWpbkD1URJk9LB6NPXtXiT3LpZQ9QomqPU6KmD1crW894gVsPewagj19poY9VMCPPQ7jkj08rZg93f2hPYwPnD00T5A98uqUPV22kj1S/KI9kSGePbD5kD3scYA9bop5Pd8KfT0K3ow9+Q6aPVDgoD0BVqI9ukaePSuMjj24BY09S6WaPW96pD2QWKE9vTajPQahlD1hCps9UTi1PVewnD0WjYc9nK+JPV0Fjz1p8ow9igaaPQI8pD2PEJ49u+6UPVKOgj0Ztnk9vu2HPQ1ekD31pqQ9Ig+jPXtznz071JA9D22TPR3Fkz2aiI89KRGePQ4soD2n46E93JKVPVtFhj0WDY497hWfPf6Ooz3Cs5k9c5efPedmoT1KrKE9LNq0Pd/WpT1JBpk9th+RPQbQij0Q6Yk9cp2LPa+cjT1Kh5M9gwqQPeYQkj0C8ZY9vAeJPQpahT1/yok9UwqKPXK5kD0bm5k9PhCRPXu0mj3ruqI93USXPSP0nT12pLA9b3+wPW7UtT245bo9lS6hPRLWkT0Io4Y9LCaBPVmsgT1qU4w9PXORPeY1lD1QXJ89msSkPbBipj01tKM9+GuWPSwunz3KDZ49NdyWPaijnj0adJ89Qh+SPZp1gz2wSoE9Wt1qPce1bz1ZfoY9aKJsPVxTbT1LvHk9VUeHPae6fT3QToQ9LK6WPdfjnz1aFos9Lrd5PYq9az35k4Q91oqaPc4jkT3Ljow9x2aQPZx6jj3KY5A9ftmWPTTKiz1rGoo9rSKBPWNYgT02nI49j9KWPZzBkD10iYY97tmCPf0JbT2bjFw95qByPakGij15y4o9mNqDPZOMaj2qrmQ9dhVfPQkeez27q409s6CIPZQeiD066I49PwCTPbEWjT2fwZE9NUCPPaHjkz1qMpY9MJuPPXmNjz2acIY9z/aBPSeViT34V4w9sI2SPQpGpj0ZMaE9ueCVPZQGiT1DyYo9jtKPPS8dhj3mXHg9MAt6PTYqgz2Z8149fDVBPVVWKD3C6Qw92lMHPWQqBT28Tus8F/XGPJxXvTxpIbU8xG3IPJ55qDyYeZw8cAKDPGrQhzzj55k8Uk2TPIihjTzlGZ88T3mXPI0lgjzWCpQ8emmlPDvLoDxyPqA8gaCbPCWTozy20qY8KiaePBBXnTwhr6M8nQScPCADjDwSz4g8nJSRPKhTkzxnIJw8Y/SZPHQUkzy/KI88TMeFPC8HlDzFQpI8oqaFPFANjjyLB5E8QI2PPPlhlTyCFa4891esPLD0tTz6tbk8Dv6vPLm+mTzOzp48nqCfPEc1kzxFcZc81deUPPS4lDwVPaQ8tsSiPP5Ykjyi3Z88rOurPOZ2rTzt7LA8FXbGPKxl1jz/RuE8fzXkPC1c/Tze5/48WZQgPf12Oz1oUUo9JEEfPdxjED2y9wo9NQcHPaig6Twp8bc8Whq9PHo4vzznH648zoSvPLc8sDweOsI8M4PQPJfn3zzrr+Y8H53VPKZU3jw/t/E8dE3zPMwu7DwUTNk8eLvbPNco/jxmoUI9LceBPWVAIj37OCQ9b836PHCmAj3PFKs8sBqXPAb+kTyM26k8ffYPPUbL5Dw8qrg93ZDRPe0W3T360wM+2N4dPp+EMT7LASc+XoQuPiz6RT7uBTo+zcMyPmTOKT40hBc+RdcYPk7KJD7Z5SY+ATARPvaVIj6kySc+/18WPtd4Fz58gCA+wW4bPvK5Gz7gxiA+CoksPvHeLz7SCzc+TTI0PmVbGD7a9h8+tOAkPsSCJz7BvjA+MIU7PvzsOD6K7DE+d68aPnbNFz4pYxg+G5UjPnPqGD4AbA0+SLcQPjr0ET52cSc+vII4PubSNz7MrCo+i0gEPkxOJj7JQio+H4E8Pt7GJj5QxC0+sI8cPkQKCj64px4+s2YmPn4PCj7HtQ4+Bk4rPjmdGz7d2zI+08knPpuTEj4tEg0+E28LPkewHj7IJBs+DQkZPqwqIz6p+Uo+/Mo1PmZxHD6PFxg+nc0kPp+jIz5dDxg+ewAqPjGBMT4zdRg+XgIJPsAhDz5pvh4+QaQjPqXMIz6L+xQ++VIfPnsnGD6F9BM++r0VPp1tTz403jA+n2EZPn3NFT7EcSg+FW0aPvtdFT6k+Sw+RhUzPn3/Hz7cdyM+XXoVPmhd1j3r54k9vIssPeTUAz3DHhM9PPMgPT309Txef9080fXoPAr/7jxD1eQ8AULnPEmE8DyeW/w8Fi74PDG9AD03AP08KuIEPVe1Az2DSQs9VswKPY/qDj2JGAs9aqEJPRpfFT3iQxQ92TAKPZEIAD2VrAM9bZYPPeu8Dz0wnhQ9HS0bPebtIT1Z0hg9FoUgPTenKj0yli49DhEnPR7HKj0iVik9c5wtPTSzLD2OJSc9xX4sPRlxLT1BxzM9Sd43PZQIMD3FGzE94dlAPaQqST0650I9hetLPSVgQT1POkk9iSNPPaYvUz0AHlc9VBtLPai4Uz0o21w9hmh5PQJCaD2XMF099XdMPZCXVj1x7lg9QH5LPS7SRz1pflg9VZVWPU6QXz36E2c9W2N+PRVBfT0FPIA9DWB3PZtVgD3bkXw9sZ1zPdQofj2aoYc9zYqJPWdmiD12qIU9X4eKPYuygz1rdXc9oR+FPa+bgT0/nYA9jRKCPepVhj2Nrok9l6CKPUdunD04o5k9GQOMPe2YjT0+N4o9gG+IPVk0jT1KUZ09sFuAPSa1dD3XNGM98wtoPaScdj1oFHg9b71YPZN0Tz06xE495phMPVNzbT21i2g9NuRbPXYFWz1UhFo9d4BfPRbXaD3RgWk9P3dlPQGmXj3guWM916VdPd0bdj0Q0Ww9N51tPU8lYz1Bt109YithPXcbZD1IPGM9rp11PRQqhj0YH4E9Yf1iPVogYz0BnGI9jDVtPR9Aej0RjnY9kFqOPSYqpD3245893SSEPbOiWz3hWVw9Zl15PYFCcT2qKnk9Tzp8PYuMgT1F1449U+uIPYl7cT0Sn3A9jWx/PRJIhT2IqHw9TV+FPWcoiD27WpQ94HmIPYuefj0aFHU9UG9zPUl5hD0/eoM9LNSPPbTPiT39Z3w9hASGPa86fD2aEYk9ZB6fPYxxkz3PP4E9YkxiPaY/XD1qEHA9KAOEPfy6jD1XY4M9GtRwPRO9Yz2yO20983F1PQlQiT3IRpY9C3yUPcC5jD2EP4E9y7qAPbwegT0MSnE9xxBzPSdedz31qoY9bn2EPf7ihT2icYU9AVCdPbbyuT19SKU9pPWVPTPqij3Rgog9/06VPbp9lT2EhZM9MF6OPR87iT0IRIc98l+HPQRPgz0os4E9AR5xPZT7dz11IXU9CF11Pe2OYj06eGA9BSd7PaAKgT1hyII9KtqEPQ9jZj0ceWI9GNplPRGlaD0gk2w9iNtvPU3Zfz3GeYE9jCFzPRpidz0Wn2A9T9BkPbmHWz1MME89sNFcPV05bj1yTnA9zXphPeuUcz2wXoA90T5tPXwPXD1+OHE9COBtPUpziT1rpIM9amd/PbG2gj3BPX09xsd3PeKsfD255Go94FRwPTSVhj2BtJM9/N+EPXKUbz1Vv309GOCUPUaFkT0Sr5g9nXGWPW0fjD28hI097DOUPVrnkT1toYo9w82QPf2glj24q5k959yRPX9tgz1KPpg9aniVPeVvgT29LXg9HdaDPWqSlD2ZxI89XDKJPXfGmj37j5k95HWYPS/5jj15OIg95v2FPcD+iz2SJZM9EeGQPZqSkj1P96k9jfK5PU3orj1Gb5w95u+bPSWBkT08vYs9trWCPSnPhT2vWIk94pCUPZ45nj0pqJc9z/yuPZMNrD27hKA9h56gPS65mD1AGpI9o7GXPSM6mD2tJI49RT+QPRYUhz0szps9XmCfPfR2nT1W+ZM9OcaTPQ6Kkz3XI5k92tGVPfHujD1vC5A9kvCFPT0caj3h63o9RsiNPQQYiz36vIQ9U++HPQ+WkD1CeZs9/36jPW15oz1wNJQ9CpKQPe2Qmj0myag9qNqePcayjz0av449FXOSPZNonD3Tp549gpKgPZxysD2V5q89/b+sPRX8mz0ReYU9hLiSPc5rmT2cu5o9MQyYPXMhkD2Xcoo9cPGCPRDtgj30o4o9xvqMPf76kD2tVYk9T5B6PXMQfD3G9I89p92qPek9qT3PlZ09DEWdPQYfpT0JP6Q9yEaaPYdRnD37k6A9TeKQPV9nkz1QipI9UDGPPeICkz0Z4JE9MWmZPZSdnD02a489a8aTPTBXjz1mQIo982eXPVMTpj3tlqw9H2mmPUeunz2t7549AU2aPYyLjj37EIA9Qd+HPaqohz1UaII9mvB/PRxJbD1Xs2o9U/tsPWkrfT1Sx4w9JTyLPYDRcD0irXQ9f0mGPectkj0b9o09M+mJPT9IdT3fMYE90degPVW6oz1quZU942+FPZzOdz2FfYU9ZTKJPcfDfT3d04Q9k5uDPXdkgD10Inc90rmCPbIShT3++Ik96LWJPTYmhz0BW4g9mjp3Pd4pfD0CAH89fW+CPVZ0iT3rB4k9t3KQPcX7lD1kApU9vgKSPWv9iT3jw5A99AOWPRxXkD1MyIo9xId7PR6zcD0dG4A9My2DPedMjz33zpc9mSeSPapEoz0+wZg9puyPPeiDgD2f3n494JtrPT58Wz3XiGg9jFh2PTLTVT35ESY90yIRPftvDD1V3eI8QzrTPPli9TxB0eg8FjHnPNG72TyrFbc8N8SsPHb7nDyNjos8uEmMPF9liDwKRIc8MjeVPOMLojxEJ6E82rmjPLW7oTx2+pg847WjPC5yozzSZJU8w32VPMA0ozzif5E8FUWcPNjtlzxUSZw8OXGYPKlrljzx+aU85UmiPMWinTzfqpI8zL2OPA+QjTwQw4Q8O2eFPHyPlDzPiow8ubqSPNAbnTzc2pM8XliaPPNiozzE3qk87sa0PNvEszzq1Kc839+ePDdsljzbnZc8PT6TPBByjzyIsI08DXyZPBM6oDyPAbQ8FFnHPACqzDzcb8Q8Jk3VPAQ1xjxcdsQ8H6rnPCyn+DwLTv08afIPPa/iED2JsyE9/ikuPUgSLz3JsSA9lpf1PMm95Dxa3uI8u7TQPPOZvDzoBKg8o3iqPP8ZsDy4OLE8G9ytPHUMrTxdTbY8zlfqPLHV7TxFjuQ885PhPBxN5TwSL9w8CEfCPHziuzwCqs48t0vNPLmt1zx1Evc8IR/rPLdd3jxTk948XbYGPcncFj1+uKg8R6+gPOUymTztF448ccXIPEZx/Txyq2w9PfYIPkw1Jj7a2/89at4CPkA7Kz5b5jc+6CpBPhW2KD6+xkM+srsnPvGzED5oChs+HrouPgK7Iz4BJiM+48s1PvstIz55dhI+XfAOPo7VHj6jSB8+7k0fPrg9HD6KzyE+NS4wPhyZPj5ZWS0+DfkhPi9TJT5uXiA+69UdPtqSKj7e6yo+fKE2PlmsHD5A6io+82QrPhL4LT7rH0M+jpYhPromGj4Oxho+9YQnPtwXCT6qSPs913EkPsGkKD7Ffnc+G9GSPrMwOD7J2T8+kwoiPuBVKj7Lkjo+OGkyPpbOQz4jiD0+onEyPoQMLT4kYDw+0x0UPm5TCT7yRT8+aiQaPun4ID4/2w8+DEYCPsnULz6mzSg+vEsiPoqjIT7pQTI+SaBDPmNtOT7SNC4+9tsYPgnHPz5QZzM++ekRPsigGz4CJho+8TUfPjL7GD7arig+S6M8PnskSj4vBRw+OKsePibNFz4NCRw+d/wyPu+QNT5K+iQ+q5gcPhWoDD56Jws+DxQNPng5Ez5bhxs+T5ckPoLYGT6qSMs9xfEiPZm+qTz5iJw8tB2fPOIrlTz/96c8iz3EPE9pxjyFUNQ8zgnlPLi67zxWm+o8cRrhPKUR5DyFLeQ8OEzoPJaxAT3+zAA9UM4DPX5NET1+UQ89gpURPcEsFD1PnQk9/6IFPUH7Ej1JkRM9YYIMPUj0Aj38ZgE9JngFPSnCDj2PEhk9K50hPZoBIz1EDyU9XpwoPZw/Kz1t3SY9JZoiPdZyIj1w7iM9dQ8hPTM1Kz3TujU942s0PZXKOj3I4z897kcyPYFNJj1F5C49rNc0PRitOz3OfEs9n9dSPTIxSj0cKVE9MbJOPbwUVT3QB0g9LQhJPfUBWT1ug3U9e5hsPctgUj3QqV894i9UPSQTVz2D3WU9QfBQPdtpVz3DEmY9Pq5dPaxdaD2nSoA9aRx5PWgtZD1AmWw957RwPby0cz0MjG096hh7PUY9hT0uroM9TteIPfeQjD3RfIo9OhWRPZXhhj1rRHs9+ep9PZbyeT0xqHc9dTuCPRq+gT03e4A9xZmAPS9Biz0GT409xl6JPa9zhz1LIoc9PpSHPcO2jz1AvZo9StJuPZtNgj25Eoc9cVVuPWvIdT3YVlw9HxFHPW9AWD0uEGQ9VzlmPf5LVz2MWVM9GjBmPTrfUz2filE9RhJqPQUPZD26aHo9AZ16PYZieT1zSm49CnZtPTsbdz27sYw9LC2FPQcmgD3ewG093sd8PZQpgj0xcYc9gRuIPYecgD23YWI9rZhmPZqzbT00IWw9fqllPZr4dT0bwnM9w9uHPVWyhz2WcGI9DwN3PTifcD191GQ9p7uDPWzbgj0r7HY97tdtPbSfej2ABnE9oVZrPYobZz3k4m09KdyDPSONjD08IpQ916qaPWsdjz3dY4M90BWFPVNIiz2AY5Y9FreJPd2OkD3x5YQ9gNt9PStVhT3ONXs9n7CCPd5Bhz1IfpI9A32ZPfyshD0Iims9yOxpPeUGgj3wzoA9mAV4PU9RcD2612k96LlvPV4nej1OVIQ9G1iDPSnMjz2eDIs9izeJPQlohj3ta4g9KbSNPWuVgT0lXn49QbaFPZdTgD3S2WU90ZuBPe7jiz1hGZk9AtmkPQtclz2pxH09vy2APW7Vhz3otpE9puaaPQQvqT0ExaI9ZaWYPQvkjj0P74Y98FWIPZPigz3rNIU9VhmMPazMgT1ft4s92gV9PRoHiT0fTYU9CTWFPfKCkT39IZM9XsqIPeHLhj3DJoY9T9CMPfZFgD1tWmo9yWxrPZqsfj3if4I9/axwPYUZaj3dQG49uZN1PcgzeT2VPX49kUB1PQ6taz0/31892/pyPbKjgD3gG4U99kOCPVYriz3ZsIo9K9RsPfDRWj1qLoo945iTPZD/hj2BMHo9Y+CLPUvimT2ua5M9AKCNPQcwiT0hgIA9h61rPSJYbT2w3oI9pjKPPfBZlz0rAKA9E0OdPSjVkj31rpg9aDGVPe0gjT3zeJI91siWPefQjz31dZQ9T6+jPWzaoz2NuZo9vjiWPXpBkT2mzYk97+ebPUBBlD1upZQ9V+CMPa8Nej1QjIE9Un+FPcD5ij1lppc9cLuSPeYglz3TJ6Y9ZhepPTYSpD2Jx6c9pMezPaEZoz3m55g9gvKXPacYlD2EYJU9nouMPfnkjD3g2449TvudPShUoD2/L6g9336iPZuznj0iTaA9kOufPa3MmT2fj5A9DmWUPQU6mj2UDZg9/p6rPevvqT1BEq098VeiPWCHmT1+vJ89ETabPaARkz3K3YE90L16PeEphz1YVoQ95I2DPeoViT2yZIM9EAVzPU7mhj0ZWIc9+6OGPbTokj2sZpk9HSGVPVPGnT1A4Zw9TsOfPU6nnD1IyqY9kkGvPekooz0GmZc9MeOXPVbpoT3AQaU9sGmvPT3wpT34MZo91SGMPUNDjj1D2JI9y22WPQ5Qjz08VY095OiHPTjVhj2IIY091eOOPQx2lT0AHZU9gqyKPSlMiD1AdYM9vASHPUqcjD0zLJU9ctySPQUWkD3n0Yw9cnOYPTmenz0FQKc9Z7ilPVLLmz3lWIo9tZmOPbF7hj2kE4Y9s3GPPYnPlD2CpJo9hGSgPS4QrD03F7A9bSWyPQfRoj3Il5g9tgubPRFIoT3obqY9D7yPPfSCjD0505A9ekKJPRSsjD3bp5I93pyFPR5reT25oXs93j+BPcp4hT38unU9CyVcPTFWhD0seoA9pAZePcz2aT392ok9cjWDPfTpZj1itGk95v1lPcgGWj0SwGM9kGuAPSvhiz1v6ZY9xTuTPQ/nlj39WZI9YPiHPZOudz2m+3k9z+xxPRhocD0UrYQ9xq+UPZkIkD3b7Y89N2CPPeWajT0884I9BcaFPXjpij09hpA9cmCWPU7TlD06LZ09CfmlPUiYmz04kZk9hOmcPXAZkj2n5ow9m86EPd5Xjz0V5Ys9K8WDPeqziz3404o9aBOMPV5hjz2mRJM9TvKSPTrSij1RjI09IbFzPfb3UT2Kikw939xIPZtBQz2Q8j898tMmPa3iCT3OVAg9bW8FPX4SBD1CheU8ZWa+PFYMpDwIFqk8aRa8PB4q1jww68k8dsCsPOorqjxAKaI8YaiWPOuznjw7dZI8sweVPNDjmjzJD5Y8c/qdPJkXmjxqUpU8muWUPKFogzzR+KY87wiaPFiqijxESJI82DCWPB8ajzzXKpE8JKmaPAAWnzwCSpc8VAyUPOdnmzyOF6g8qk6TPJOfhDxrW4w8UVqRPFxNhDyvm4Q8kSWIPO2QhTzWFoo83PCYPLX6kjwYKZU8jiOSPDJflzwxKKk8IyCrPC+tpzwahJo8+76WPMU5ijw3kYk8cYOTPBV25zyT+Qg9xp3mPMiF6zwqIt88bkLlPITn4Tw46us8Rxf3PE6YBT26YQc9DP4VPWIKGz3gAxY9VQAKPXPkBj2BnAc9NHftPNtS6TyGpu48KmbBPCkxqjyMS6g8DGe1PPbgxDwOGrY8vw+1POgrwzyr8b08tQPmPHsQ5TzQrdo8MDDgPDptvjyE8qw8IiG0PPsQtjwL8r88jwTKPI+OwzzBruQ8YfgFPfPu/jyJKNk8He3HPKALyDzeErY8BSizPKXnqjxbEJY83bqbPMiE5TzQ0fQ8iKHYPZ0iGD598ew9dmQCPupRJT4wyTw+Sc4zPpwgHD6nkCE+0AkVPjSGBD4+Hhs++SwgPgLgKj481S0+5oQaPsIOIz53HRM+fdMQPpv0Fz56qRw++pYnPkkPOD47UTc+ClI0Pn/SOT758Ss+LUMrPgblIz7cixQ+d+slPm90Mz6gnDU+pKg/Pl++Jj4JzCY+H5IePhF6Iz5+4xM+s4oRPtDBHT6fnh0+gIEfPtZ8CT4nNAg+rZslPlNBMz5sgoM+hWSNPiKtOz6WfE0+TlgWPmBNLT5LozE+RDgMPtAXCz5W6is+yPs6PjVRGj5gsig++kkyPqRzPD4HVUs+5j1CPiWUHz6tvh0+dEMOPh/nJz6hXzs+JQMQPtWlFT7RIR8+uLkiPp4FOz4Fo18+E+BKPnJ2MD424hs+sPMcPlSUKj7ifB0+zbsaPimAKT6sESM+SUQhPpGUDD7rdS4+L4VDPm8pKj4OPiw+NjdfPo44TT4ha0E+HMkyPoMWEj52Vg0+JBcVPovpHj5p1CM+5kUqPkHs+T1hUpo9wjasPP8zpTzjKJQ8aQSHPImQmDxgGKw8BySzPDcjxjxJtcs8ZYzCPHFTzjwJVtY8EAndPM7A4Dyf8uM8qdf3PFkS9TxHo/Y8oRYFPVWsBz0/nQg92RIMPSgtED22BxQ9Mf0LPRM/FD3Gvh09xR8nPX/5GD25xhc9YO0VPQRpHT1KmB89QeolPTlBHz0l/yo9A9YvPWh+KD3HCik9kq0uPZLGMT0T8Dg9h40wPTMYLT0KNC09fs4zPdQWPD3+wkQ9ZE4xPWfhMj0yJz09sP5KPWiaUD2bGkA9/nZLPXPdUj3Is109uuxZPcOsTz1NKVA9EmhWPZDOTD2ZlGc9+2JgPUYtRD2+fEQ9CHlMPTEIbT2Sg189RuxIPVmKYj3VzWY9Z/9fPc0JaD3TW3c92CGFPYXNjD1dy4g9xUx2PU8MaT2+T4Y9SHiDPZZtfj0o1Ho9wRCHPeC3ij0cF4I9eoGEPTfkhz1EG4k96GCAPYiTdT0DmII95oKEPbxMgD0ab3w9YWmCPWWNej0GjIc9YhiJPU1ufD1wqXg9SYN+PTd+fD1SN4Y9DriAPSqlgz3wwWE9JmdlPdp+az1do149N7VUPaRSUz2GjGE9gURgPfV3bz2qgWg9l+d2PeYseT0OQG09WZpvPUY8gj1esHA9MT16PYmgiD0f1nQ9chJ4PZS5dD0qEnc9r79/Patqgj2QiHA95BR0PYMCeT34vGg94S9lPSyIXj1xcG09fwx0Pb9zdD0MqoM9mwaKPVpzhj3mBYg91fmIPanHaj1dVWw9K51pPXBubD3w/os9/GeePVEgij2yc2w9ek5ePTLLej11gWw9yp5rPYj1Zz2wjYE9MYqMPXrChD3MtH89m3x7PdL2Zj078Xg9Vvl/PcEyjD1Azog9RAuNPeI1iD0AY389of6OPYXUiz35p4c9K7OTPTVykz2PAYc9JOh+PRabgz0IA4g9mYuAPZlpaj2WcnM91ixwPTd2bD3F5n09XeCBPRa+bz1u0Xo9Y56EPXDKkj2z5os9RgWEPf3mhT0CNYY91paHPUr3hT0honk9E7OKPZK8iT3FMXs9wQV8PdpKhT3XdYY9q+p2PT5yaz00D2E94Tp6Pa2wlT3NR509lUCvPQbtvz15nqM9LOSEPbeudz0q+Xk9xt6JPVvmjj1tvo8997qVPc3Ajj3X8oM9IIWHPfy4iT02P4Y9ast5PeuzhD05kpw9nwyePZsMmD01kZY9zoV8Pafzaj39RIE9STiJPeHQgT1bDYI9CS2BPTZsfD3j8HE9TQdvPce9aD2HdGQ9nChmPeldez3tu3w9MyCKPSJXkT3nT4c9UWOFPYG1jD1Uxow9NGmEPZAugj2/1Iw9ZnqQPYeTij3c04A9B1KGPXmrkz1DOJo95U6PPUddfD3Sr3Q9/yJ+PSqvij3Gr5U9QYmdPSqTlD3J1Y09fQ+EPXbOgD3wCZY9KsyvPYG/pz2/FpY9r5GQPXcYoz0XT649xTWaPaXJlD1qGJo9CXCePWZOmD0zt5w9aUqWPYwxjT1EIIM93QKDPS+yhD0yfpA9cG2TPV8tlT0ACa893B2/PZ+WrD2fOaA9PISbPSJZmj1fu6M9IkWtPaU/qj3L67A9N+2vPSM0pT2N1qs9i3GbPQjulj2ak5Q9LeCaPZacnj0ohKg9y3+7PZ1erj0Hv6w9XdmjPeZ1mD3d/Y89bUudPdn8mj0yX5c9CgeXPWCFpj28250939mOPXTEgD1MQoE9JTKCPXEOhz0zqoc9TP2HPT4ngT11f4c9ofuKPcimgj296X09LUCDPWtdiT3meYc9kyiDPQXxhj3OeY09jOCWPWbIqT1AGrY9jBC4PdhPqD2Maqg9Mxm0PQO7qT36HZc9DVWXPX0Zkj2CU5A9iO6NPdzqgj2/SoA9Cc6GPR8yhT1pmII9VhSEPXGaij11aZw97/mTPbHbjD1KSZI9+9aZPQl5jT3TYIg9MV6UPfRBiz0MWZA9zyqTPbe1kT2IgKM96U6pPd1qmD2kLJI9BuySPcvWiD1x+Ig9lEGRPcPclD1OqJI9YuuUPd66lT3di5A9/cGaPeMKlD1F2Zo9ssOgPfLLvz0R0bY9Xh+iPcGrlz3UupM9S8SUPWpIhT2Mz309+vWBPT3UjD2cRo89V8+NPWU2lD2WqpA9bEyYPYXEgj1w3Hc9/4FvPQ0tcT20Lng9rzNqPXO3aj2fQ3A9ONNqPVimVj3etUo9sto7PYpUQD3aa2c9SiqAPY9raT2Ks2w9xzx1PRp9gz37NX49h7F9PSYIhT1dgIY9egOHPTAbjT2Yiog9uS+DPdaTiD0mh409Z+mePe4xnD0PYpI95aGYPexPmj1vNo09qKaPPefpmD354Zc936WWPbKIoj2u6a09DW+yPS4UpT0bmY89KfaGPW/0gz1EYo09VbefPR2fpz0QvaQ9Mr2QPXAPgT041nM91iV/PR9bhD14rXM9FiRPPeSpRz0x1lM92pJSPagQMz2xZSI9uUIgPXWTFj3OVRQ9Uq4dPUkVEj24yh89c+QVPQKEBT3A3t08vxjZPLMhyDwG6rE8C9GvPHdctjyhd6M8QqChPF51nDyut6g8RxSjPHDvlzxSwY88Cx6PPJFjjzynBpU8dgKNPN9CgDxDApI8uX2UPGIDhjx44pA8i0mIPDbyjzy+W5I8A9GWPEZYlDxa4KU8542iPK47njyy75M8NY2PPAAbljw5yo887FmOPKccijzp5Is8W+uIPC6lhDwthoo8IJaWPCqnkzzhI5I8xO6QPLN6jTzAgIk8gZ6APDf8mzxoV6M8l5aePI/ApTxpaKQ8rYu0PJgOqTwyN7A8MhKgPEvvtDwKCek89gEEPShyGT3IswE9sFTdPEBI9TwbOAM9askZPXfRHD1cOAs9bW4NPQpQAj32+NY89XnKPJaq9DzRewg9+3nzPAEF2zy6FbU8tg+pPAPmoTyYLqQ8wVywPDbSvjw7ebA8EqqxPE7Kyzw8w9E8wvblPJLM9Dy1ntA8j07CPHZU0Dxdf888dTnKPBIauzxCn7s8HavGPC5TzTzfhvw8x/7oPASuzDwcvc48zZ3HPNYJwDwxhb084bfgPH71sjwPvs08bqkAPSXTrjwfpRk9KvPwPe369z22+wc+CYYZPpK6Hz7voC8+X/MtPtWkGT6q1hw+dj8bPokRDT7M/Rk+o4A4PpjvRz6WAyY+oJ4dPu8WLT4Q8SM+JncfPqSXJz6TFCI+9ucmPkDUJz5C4Cc+UaoqPgAvKj6M4i0+8YEwPtdfIz76Gyc+8xw5PoL1OD6mPT0+BpEzPos5HT5LqiU+DJgpPgo6Lz7ZNSM+WGYgPndEKD78eCg+w/MOPnAQDj7s0hk+Z4EXPkOVCD6/2jA+sZJXPnXxST69oB8+i2NRPsHcbT6y+is+l0IePjPNHz7vGzM+jjc1Pr8PPj4jL0Y+/ts7PjOGOD7Qux4+dNAtPpvvMD5Q7zI+e+8rPiEVJj580Qs+XSImPsZVMj6EuSQ+WhwiPrSzFz68jFc+e8Y8PgLpJz7cgyY+XnMMPiW0ID4CkjE+lmAbPqAfGz5A+hs+EfYSPk53Fj5mc0A+cYhBPjDWMD5k5zE+NsJOPuwCUj7qlkI+DUcyPg9CKT7GqB8+IIEGPjk98j2WRdo9YsK/PbzLbj1sLO08WhKQPB80gzzqZZs8XK2pPCNHpjyw/rQ8gPq8POkquzzRxc886G3WPEhh2DwWZfE8ZazuPE3E9jyCqfk89q7tPCO4+jy+9Qs9zkEUPf6/Ej39rAc9iIoKPQHxCz1zEQ49QAsQPYpzDj0B8Cc9uPIpPd5zKD38Yyc9qsAjPe4eKz2aWSo9A8wmPbLuKD1wGiU9VNAqPU1sLT32DzU9XXExPancKz0M0TY91DQqPT6BMj21bTA9uRs1PRVmND00My89v+IsPfFlNT30r049kulWPUVCSz1exUE9uz9EPYPOUz3vxVA9zHc1PQqVNT1SSUE9oC1QPZM/TT2nET89rqM8PeO2PT0w+Us9I4pQPZ1dUj0mv1s9Cm5VPTOmbz0Bc4M9CfR/PRc5gz06znk9wimAPRxugD0mw3w9AsR2PUoMaj3tyXY9gCp6PTpjej1VSos9nD+OPSkagz1zjG49JuhxPc0OdD0THXU9arxyPdPkdj3KlIM9K5iEPXPggT13Q4E98DeEPTEuhT2/WX49Ibp9Pbd3Zz3lDXI9e1B2PcpwbD2RZnA9QPl9Pe9xdj3dfmA9uRdZPR6VXD0P7lw9FXJgPTfaWj0U4Hg9BRiAPQCWhj2SvnI9AbxoPaqsgD3pt3c9oBRoPXvIcT1lrYA9AouAPQBmeT3twGU9KHduPZEgcz0wRIs95jyEPV/WcT2tlGw9X4duPZPjbz0GX4c9DoKPPU1jdj3YaXs9ru94PWJOhD2rFJQ9eRuMPU30gD1ZNnA968t5PX68Yz2RtW097jBpPcyvhT3hpZQ9BSuMPUA0aD2gpGg9LOptPQasZT0sCGk92j1vPaSHbT3Pi2c9BxRrPRJzYT2Lvms9x8ZyPe0mcT26W3M9gg+HPSUljz3ZyI099amEPatLiT3GXJY9P9CaPfAtgT1uxY09bteePZRmnD0UYY09X9iFPeIVeT2otnU9Cq1tPUYZbD0QB2093V51PRZqgD2mNYk9dVKUPSWihT2ZiYI9sACAPeuvhj38nIY9gdR4PSzXcD1WtXs9kHx7PePBhD1hb4M9dJWIPXwmfz2a+WY9cDB3PWY9gj2O+4E9yUOGPTPVjT28v5c9XcCaPR1snT1s9nk9HRF/PRKYgT2QZVk9cUZcPZarcD1XrYY9iNuXPYxokD3srYg9WvKQPeRuiD2txYY9auR/PaXAgz2oiYc93LmJPccgkz2Z+Jc9H/iVPYY0hj15E3s9ysp7PViGez1QJnU9EjhyPci7dT3hPHM9CZaIPQLxhj3qr4E9nx2APepXiD1qgIk9KXKLPeu0hD0afoc9QKiEPe2WgT0a3nE9rbiFPTAWkT0VbJQ9sCydPd2hlj23woo9HxSGPffiij0H2og9A2SGPct0iz0E8I09kXWJPRHMgj3I+oY9uMiNPX1Riz1ylo09T2qMPeHAhT2i5II9V8yFPV16jz1sfaM9/TiyPcAyrj2ajZY9WoiWPeTzpz2Uaas9u/WYPQhnnT1/QZk9ArGVPYSKkz2p/4Q9jqt7PdHseD3elYw9McyQPek+lD1kWIw9J4OaPX2joT0dZ7k9mIa9Peisrj1Hl5s9P9igPaFfoD2zDq49zkysPSLqsj3g/bY96y2/PS6xpj0yPZ89V5ukPSkHqz3x7pc9lqSpPT7Mqj3dMpw9O/ejPUQMpD1o85s9X2eYPbijkD3ToI09EvmLPQ5Sjj35B5o9QXCZPfh8lj3SZ5M9aKmAPY5Bfj1EGoQ9JGGMPRw9jz3kXZA9gyyQPeGDkD0HIpE9w258PRMPaz0Mm2M9YBJqPasoej2MloA9Sh11Pb/Egz21hZQ9DMSlPVpfmT1OqIs9TomPPTxLlD0NT5I9eOCKPUotkD09T5Y972aePdTNjz3KyYc9UHuMPb6tiT27RYM9O0SSPUGRlT3uMaA942eWPSVPij2C7JQ9N42NPZsDhT26OIw9xOWTPcqZmT2dFqE9P+GrPQRNlj1zxJI9d82UPXwZmD39e6A9k5icPXjElT1FPJE9gBuQPXSegj0+JIs9pN+YPfl3mT2T6J894jamPe4Olz114Yk9e0SFPSLDkT0Xa6o9Z+2uPdjOrz39JpM9BwiSPYt4lj03dYw9eo6EPaPZdj3bRnE95JuMPS/GlT3HiIo90z92PWJugT1QQYc9yM2PPcNFjD0YHYY91RZ8PaFNdj2s1XM92KiFPb0RfD3hAXQ946diPa94Sz1G7Ug9z+ZUPTHNXT0pCIY9GYOKPQ3kdT0u4m49qj1+PUFffT1URmo9/zyAPYhzij1lpYo9hciLPQI3hz03coo9snWPPehulj1yipI9J0yTPezkij3DbpM9wFiWPYvWkT2Fa409hNqMPaUmjz3CxJs9MUivPWr7uT13wKY96fqgPaTAjT3dS4E9RbSGPfwniz2U/ZM9a7GcPcWilD3Keok9xu9nPfHAYj3YDWI9n4FoPbnESz1Q4jg9uS0sPbswJD3L9DQ9ycc2Pc3PEj2Tig89vHIJPWGuDj0wVA89nEoOPenIIT3VCSE9gLYUPYrlEj0kZgM99LPUPLbcxDyNLMA8bPy2PNAktDw80qE8WOCZPJ6lpTyfOaI8YyWrPPp0oTzNk6U8TkakPO4tnzxdSpU8uD+WPEprgTzg8Is83FyJPEUchDyCGpA8dAiRPL4ejzza6qI8HpafPG32lTyE3oQ85BGKPF8ejzzNj308zcqJPD4+ijx72H48DXJ2PDl/iDyoFoY8+T6APP7bhzwMJoo8FEyLPJ2acDzN0Gk8+6B7PIMBgTwrMXM86CSMPHopqDzJSqo8mNGiPEq0kzxwl508azm/PD3MwTz2s9Q86pa3PO/rpjxYS8Q89UURPazQOj35kAc9h1EBPUMmBj29gAo9p5EhPV4MFz2N/uw8rezbPAMq1Dy9z9M8a6ftPCRW+DzNes08f2+mPIiWqDx0Aqs8GMuePB8bszwmALU8jYC6PPGowzza+MQ8eonDPDq/1TxP9d08RabgPFrz3zwMYc08bvu5PKQxyDy1aNk8D/n+PF61zzzYrcg8XSbQPMoeyDz1IdE8O6zFPO7+uTwQpMc8csu/PMv6rzzCmbo8mb3EPL3NAT0ci7A9Oj7tPUTCdz2+S5s9Fa/fPTN1Bz4WRRY+d/QaPjDjGT6sKyg+22whPjicAz6vOkI+sERCPrq5HD6cMzQ+/Ys1PsmYHz6/qys+EUUrPqkuMT6qLR4+9F4gPmYnJj6IZw8+Nv83PlmRNj6wojk+EuQvPpINJj4JDEQ+nyFBPryvQD5A3zI+9I8pPk3zJj4fgDE+bfIuPtcsFz6s8xg+xYcwPo7BID54qB8+9pocPhfKIj7Diy0+H94RPlB1LT7HfHQ+cRxMPuRIFj6EJDc+Bk1cPk/jPT656Sk+7H0xPsfAIz5Fmx0+XVYzPtqWLj7WzC0+00c3PgGfQD4qHzE+5I86Po0qaD6/DUU+xVlEPvDrOT5OCC4+hNMkPoa7Dj7GKgc+sRw9PgKBVj5FxTM+5C4vPmEBMD5roj4+NsUtPjrMHT4VTxc+q+UXPqNNGz6xxiQ+Fh8aPoijHz6uby0+8+EjPmgrKz6wkCw+BkRBPr+YLD7E+E4+n/ZUPmDrPj65NhY+Bv3VPe48nz2NbEM9N0n0PEUl5zwyDdU8eYzWPDjZ4jxPi+Q8XPLOPOxX1jyuIfE8L0/7PMMi7zxMVuM8uqjrPFPZ/TzeeAc9P7UOPXgoEj09HxA9n2oJPYZ/AT3TUgo9/FoIPTydFz33SRs9Oq0XPXYQGT2M/hk93JwdPbcQHT3PiSE9aBofPXsgEz1nJRI9PiUWPXQgGz0DJiA9KjUlPcgXIj2AFhw9LaYiPVKiMj1n6C89hLQ8PScBTD2ZST89q1A6PVKAKz16sjQ9lAI9PZiEPj0JBzs9/vE7PcfNOD3xqzk9lds8PcpoPD1pgmE9AIdjPTCWSD0shEA9WGZKPR4xOz1FkjI9NLA5PeIPPT1HMUQ9BRVoPRZhZj239kg9oh9LPfCSSD0YjVI9iXlNPes1Uz0gRmY9FP1cPV7qfD3Wo3s9bpF/PV4DeD2H1ms9uGaEPdf3jz2WL5M9VJCMPfgtiT2Wk309a/l6PQv3hT2i55E90COGPe++dD2HoHU9+rhxPfziYD3/qFc9orthPSAucD0a5nY913xhPXiAcj2htnk9m4d+PcPwhj05YXA93sVePUcgXz36zWY9FoOGPV/Agj2CoHg9qlRKPRcFXD0/B2U9x0NiPVuqYT0dqWo9AYt1PRy1fT3Pd3c9H1RlPQNJbz2UP4c9qkKLPYxViz2Iv3k90sCCPcWYiT05lIw9ipV0PQGpaT30OnE9+vCGPQ4bfz31aIY9ACOLPftvaz08P1o9vLVsPfyggj3vH4U9q7R4Pe1Uhz0/HZ09SNx+PdDyhT3Rqok9QSV+PcDwcz01IXc9fc1xPWDfXj2jEF09N9RmPYEihT1l9H49dKl1PYzPbz1TSXM9w0dePYKoWz0Rwl49Ia9nPZX8VD2wzVk9WyRcPdusZD3rrnI9gbB5Pe4IaD3A4IU98FiCPdoFhD10gJI9P0WePf3FnD3Bk4k9LcqNPZrfiD15VYU9k1yDPZoHcz3wZXc9frtrPdhCez3sPIQ96ht0PYkJgD1JFns9FquJPYkZkT3DVpE9a3KQPV6cgj0623Q9gV53PfkDfD3FUnw91fhsPTQTdT0Dvok93kWQPeskhj0tao89NhV/PapNZT3QdIc9TXyFPS9Blj3xTJw9llegPe7Woj0ckp49XB+WPUo4jD0HOng9+sltPbJ/fz3GF4g9mFiXPRadkz3IZoo9xkmAPW/IhT298Iw9Z3SGPQHhkT2jfZU9sxCRPeeelz3/r5w91vaVPfUkmT3RmpA927yePTIpnj0AD409wB92PVBAcz3Zg3w9AEd6PTaYcT1i6Hs9YkmBPQNMgD1JZIs9U5yQPWfPiD0MiIg9w2CKPVDHgT23ZXI91MN0PeVCgz2Z+4g9laqYPbRvhz2KC3c91dt4PdRaeD2OE3w9nLF0PRqCgD0WQXE9gHJ4PcX/kD1rD509JRWIPR42jT3nuIU92Ix/PWQdij1uspA93d2IPSJDjT3AcpA91caPPRuTkD27zJg9rZWZPa6klz2ZeZU9ZtGhPc+ooT2ij5Q9JlmKPXVMhz1BzZA9wlOSPZYWmT2Bbpw9hn6VPUN1kj2vi5c9eXicPcrMmT2inaA96lehPVMYoD20j6U9H+euPefjpz2iKKI9WnKhPfbopz0U3r89ay25PSujpj04TaI92CGmPVUzqj3LqL49d4WtPSLWnD0SZJg9nU2OPRD+iT15AoY9c4KPPQt6nz2YFpg97COKPVzghT3ERoM9uwmGPYC7kT33TKU9j9iWPaHHfj2U94I9UfqDPVI3hD3LS4g9B0+RPW8OkT3v5oo9p5qBPcFVhj2+WoU9V595PeIaZD1qyGw9mx99PSd9hT0z4Io9ROt5PS2JdD3ykoI9KFxwPeYYXD2K6mY9oi11Paorhz1l1ow9Yh+SPXcylT280Zs9PrenPeJUqj0+oq492IGjPR+epT1MiZc93cCSPWmAij1Kioc9VTmQPQNejT27IYY9yNCUPbWQlT3Oxo89IuOWPX2Hmz28V409ZV6NPYOPjT07/IM94jmNPdKpiD2vZ3k9mTF+PdHBgT0IUn89nLZ/PX9WiT1VMoo9T/KBPXm2fz0QRok99naRPZs3hj2NUY493feUPSR2iz2y1KE9BHi5PaHstD1XQp89yfiHPZW+fz36BG09IH1uPY2CbT1i4Xk9qIN4PXVWdj28gH89h2iEPbncgz20p5A9f4+jPZcgpD1v2qw9XBmcPUz+lj2hlJg9cKucPXzkfD0Y7l893kRdPWkOWD25FW89nDF7PS/chT1M7JA9IaeTPZCyiz1DooE9k7FpPVjhbj0fU3g9MKmGPU4ukD2+mI09rCiTPSaWmz0d1pc9o+GePV4lnD0T2pg9ZeCUPVTfkT0LkYk9CJ2FPUsanT32nJ09jtmTPXsNgz1mb5U9FUeoPdbkkz2Veo09PYiJPQZcgz3FHoI9qCuNPV/Zoj2q5pI9jdKDPfkDdj15w2497IlcPVIaXz0UE1Y9oKE6Pe0sIz3O7iI9zuwkPeb3Jj0FeiI9ZhMaPbLaCD1p0wU9xA4RPTJ7ET3IbhM96YEnPYK2Gz127BM9VWYAPY5O8zwxDN08GFW/PEljsTxSy6o8TtqdPMDSlTywHJk8ysqcPOrClzwuu408VEadPN3EljxPoqI8crmrPFiUrTxvm6M8TvaGPO+TbzzFs5A8tBqaPMn7kDykL5A8KSmEPJhAhDzGZ488xXqMPHEyhzycMGs8yh19PHLKijwlw3s81u1wPC6gfTybxoc8NfSTPOr/kTwaDo88/MaJPDS5jTz/RoU8DHOGPLMVbDyfaWY8PD5yPH2wgzyPgos88xeJPEzYlTza5aU8mUawPBzWrDzvAq88hlimPOS7tjyYVc08KIPRPBLZ0TwQmOg888QOPb8/HT3I8vg8lIHSPLCk9DzT4wQ98scPPSl38TyPeL88n8nGPNwW1zz7rts8TKfJPJF9qzydcK48BeyiPDM+pzy9Gqo8WWS2PIK0xzxDC888UsjgPHd48jzrkfA8HDzqPNya3DymRdA8qtTIPMsuwDxWDMU8Eey3PBvcvzzezNI8DIrOPGF8vDxMv8g8owDFPG/CtzwrK7w8sSG8PLKuyzymWtI8AbS2POY/qjyxm6k86xLYPKvUaD0XUOw9fJ2wPSO7Kz1CumU9g6CoPSvvyD3Sc7g9g6YIPnSpFT7lExM+hCsqPoWVHD4PRWE+AaBDPgQ5Ij6ZEC8+Nk8sPtN6Lj7ePyo+lmQnPoLiKT5Qyxc+/c0ZPnC1Ij6v9xI+GDIePj/kKz7x0zw+VRMtPuBiGj61dlg+qvx3Pp7PRD6MUU4+4Y89PuSxSj41tj0+GQAvPiJpLz6lVxg+jFchPriPKj57syE+7k0xPi92ND6A1xw+sWokPqVsWD68Qj0+gf4PPgmXCj5JoTU+F9YoPsm6GD5RcTQ+C6w+PnG1Kz5sCiA+P50ePvRxGj4taBw+O64ePvuwUz40t1M+PZJIPsXtKz6ckRI+puQlPkEpLj5oBjU+UVcsPoTPDj7wgg0+M2E6Pt6iNT711So+iEQjPpn2Nj4xvzk+a5YtPtYGHz6nkR0+VDciPilYGT7FZRU+rIckPln4Iz61xy8+v4UrPg6PJz5Scik+jwkwPqvfID7mEwU+lVjJPaxpcD2gxgI9qVbMPOh6tTyWX7Q82lrEPIEw5jxjdOM8DXHfPMjZ4jzXhek8IgD7PJGXBj2l0Qk9N4H0PDsD+jx96wQ9xwoKPeuaED07GRE9TXUcPUX4FD0o7RU9regXPZlKEz3DkiE9OoglPQfJKj2Jsi49ig0nPZbnLD1/Ric9HCkoPV6jNj1j1C89FX4kPZkfIj3q/y09IaM5PUcCMD3+ay89SBk/PfHSPT05djY9mbIyPWuQOT0HHz09+zRKPWj1Tj12VUg9eGxNPcDHRz1YQj4966U7PQj8Qz2QyU09VWlAPXFLQz2760U9JyRJPbnXOz0mpkg9JO9FPec7Pj21/DY9lqIrPSvKMT1bOTY9DHVDPfAZQT1k8ks9IFpRPQVhNz3uxUA9cvFJPZagUD07J109grRcPcTMYD0o2V09ihVbPXfHaT2LPnU9U7FvPddxbD334XE9v+h+PQp/jT0ulok9sxNnPeMqYj1wJWM9BHJvPUqGfD05h289nmRZPXaYVD0Dq3U9FbF/PalPcz38dHU9BxV0PY8jaj3vYnY9vhFpPbOAeT0KMYc9zcaHPTADgT3rS2Q90wNaPXUHVT39BmI9Xxl1PSJbbj3YvWU9OwhwPX8ebD0YSF495+BaPRPZYD0HS3s9zst7PYPHXz3vzFA967BcPbHTeD2mgXw9W9x4Paykcj39zng9n6COPUXVjj2REns9rFNzPaKJgT1N4nE9S7KBPdi9jz3rDoM9TK1sPUNhcD0seXE9AgaEPcqlgD00g4g9f2WRPQidij3ckog9RmWHPUd3fj2rk2Y9GSKDPSoVhz2fA2w9uSxSPQJfUj3/SGs9ndJ+PQbqeD3E6oA9cL2QPU3XiT2IbGM9nfRXPbg1Vz2tyF89jVCAPUQShD0Xa4I97g6APYzaej254IQ9klOCPekWhj3qJYY9QRB1PY4Vbz2txYQ9K3aSPVNtcT3GYF09DgpwPTlxeT1ZVGY9UvJpPazkcD290289dMJ6Pbzwez1fkIY9Ep16PU/Agj3MTZE9FUWgPdYxjT3RsnI9c3JjPVRjaj1DwnE91gKAPdN4dj3dcHI904J6PXYfij2+eJA9lbqVPWdCkj2BC5w9sOyTPZFuij020Yk9fs+JPTrbjj3CkJc9ldW4PbuOoj1mcIY9zrCHPetEhj2XGpA9BsWJPbHCiT3zV5I96BKUPXWfkz2t85M9qJuPPU6/nT3HDqU90dCXPYy4kj0tAp490TScPb0lpz0/Aak9nK+aPeY7lz2iz5Q91UR1Pc8Ebj2ATH49MciLPZQHjz3WRIw9v92BPeYreD2adWo9W9SAPTklhj3wL4I9P82GPUPbhz0Nx4A98AOfPbGOjD1+hGk9PudjPai/aD0iM3Q9JtxpPayRYz0qtWg9Tqt6PXjMgz3CE4o9r3KRPcW4fj3P7XM95TaAPWGWfz1kR4U9qkGCPfE7gz1lMJM9aCeSPbrxmz0xnqA9ZF+aPQxEjj34DJY9Uj+cPcFdoz1SL589JXevPdoZsz3Bzqs98xKiPdJjpj2k2Yw9szKFPQn1kD1jz6I9STCaPbdXmz2aIZY9dHGTPRP4lT0P3KU9DVSpPQLbuz0+MrY9In26PU4+uD1dgro9cb+5PXdMoj2hJZ09gCXFPVdKrz2Y+qE91U2pPYxMoT1H0p09YdmcPQm+oj1+Srs9zEOjPZIqkT01QoI9BvGAPWTpgj2KD4Q96PKPPVB5pT2E7J09qA2gPUDEjT1lO4Y9uK2OPdHPlj3u/pA9YTaMPVkuiz06PIw9xhCEPf6bhj1MTpM9+ZiePTFKiz28rIM9DoJ7Pczygj0tanE9bQlxPR5JfD1FI4c9pLuEPdPAhz2RT4E9nI9mPeNaaj0/D3M9/TGAPSy9cz0V43E93L6NPQaxlj1YKZc97BOJPfdjkT1Qyq89HpHAPZjUrD1jL7Q94wKsPcF/jT2BsH89SVd3PboGcD13TIM95/SNPdswez1UQWw9wiWDPebwkz0u0KI90+WYPdNwmT1y9J89rumIPbzgcz1mP3M9AhhoPYcXcD2UTYA9bPKIPWoLkj1sCIs9TW+IPagiij1iuIc9JvCKPZOHjz3Lg449wk+DPVkWhD0uqIQ9pyuKPaT3mD2fy6E9dWeXPVhxiz2aDnI9AXJpPZWaZT0LEW095CFrPVc2fj0bSXo9q/dyPVXQcz25zIo91jiRPR9clz3M16k9RkmyPaPYpD07BK89xdShPS/Siz0bCIg9KhOAPSxteD3NmoY9BLaMPX0ihj1NEpE9NjiRPQimkj2opZo9Y4CfPW83jT2uKIQ9TfhvPaH/hz0gho49roycPTJLpD3K8qc9N8+aPSVMmj0fDp09GyGbPe06mj3QyZE9XbOSPb1zmj0375w90VGdPXWFmj3UIZc99l2MPRzrhz0EXI49ZcKPPeWcjj20LYA9xkx1PcT4gD1VgYQ9Y6qFPS3NhT25yoI9QWV6Pcx/aT1Jtls9B+JZPaoUUj0GJjc9X8QjPTDCHz0uoSE9vOkiPRD/HD3sPRo91uwLPcPOFj0JfBw9fF8ePfs8Ez1sdAI9DEYBPTi03jy7eMk8gsatPDsPtjxXS8E8kdS3PGxkqDxTipY82p6RPJQtmjwtFZ88KaaJPBnxgTxdaoc8ylGQPKBHjjzws5c89jG1PNm/tzz3VJ08oVONPEuPkDxi/388U+aDPOdSljwjv5c8R7iHPHWBiDz47os8vrKKPGx/fjwuD2k80iR0PC2ZhzyriYE8FgSGPC4nizwtgpQ8boCSPD9ikTwwI408JUqWPNZyjzxBa4Q8/pSLPBgDhjx30IM8eACCPG5weDwrc4s8Tx2dPJn4rjyGorM8Cpq2PMIfpTxuOaY8ZcSyPE7z1jwHrNE87fTgPD+26zwe1O48+hkEPe9+CD3mPvg8L7vkPLCi/TxrMwM91Cz/PPBK5Tzmx908djzqPMSw1zw1YKc8ueWrPKR0ojy31aY8GNufPLsHrDyTLbc8dWbKPGno4jxozN88MrbtPJOc6TzkC9w8S0HBPMa0tzzXn748MuTPPL3KyjzZfMY8QAzEPODwxDwRjNI8hhbaPBiPxjzkUNA8YLnFPA/itzxDgMI89HmqPN+ouTwoq6g8ny2YPLrJnDycKIs8KgyjPPUBBT3XxyY9qViwPIIFhDwccdM8qgUlPaoTkj2/svg9dJQnPuNnGT7VuDA+GWgpPg+MEz6/aRM+jB5QPqh4RD4pwS4+Fto5PnS5Iz5CYQ0+8w8jPlz/Ij5G5hU+ONUPPlQ2Hj6nHiU+Jg85PpewLz7hYys+l1UlPtyUFz6E6h0+GV82PjmaLT7SFCA+N3YYPucVHD6WIQs+n74LPpspIj4abjA+e7McPkF+DD57/Bc+mX5QPodUTz6grDY+UQQWPmqVXj6Jz04+nz0jPrBKQT4UElE+AFALPgGdBj6TfCU+f5EoPq8fOT6vPTQ+ztwgPnUjJj4F5Dc+N+8kPoswND7cjGI+ZY4+PjD/GT5i8xU+oEIoPqCWZT6XVkc+0N8gPgIY/z1Gww4+lDE3PhZzSz4weTg+qG0gPuEYQz78wEw+2vA+PlEyOj6zujQ+D6IzPpT7MT4ZJio+oXAlPp7eIj6SYjA+9q4jPtm+Hj5dyRU+VBjkPRsbiT0ywL08B5aRPBw0lzzUGJ88LGanPMBKujz3Jsg8stDHPBVHvzyXjtc8zG/ZPN3r2jztQec8CJ/pPHmn8DzlNwI99RYGPfahBz0H+QQ96ZEMPfYAFD1z1ww9XUMKPR7UCT0CZBI9iBUaPZoAID3jqRs96ScZPT+dHD2p4C89Sx8iPTPgFD2LMxw9JQEvPdvmOT1fEjc9yP4uPSEALD1pcTk9sgJEPTQHQz3VDlE9Pg9JPYf/Nz0Q3js9J0RDPdS3Rz1e+0U9qDpJPW4XTD2/sD09Tbg6PWBXOj0QpTk9a282PeGZLj1Q3jU9DZEuPWXUJD1KOSY9hQwvPYjpLj1U9zI9g6YwPedyNj3jVzw9Oe1EPTU6TD21/DQ9Tsk5PR2ZPz0xYUg9DMJGPf0uRD32oEI9NalIPUbkWD3UD2E9+NRNPXIQTj3Afk09DRdLPbZgWz01wHc9gGCBPbd4cj39J2E9nt9zPaWDgD3BG3o9qqFvPWTCbz3vxGA9LkBdPVIahD0TSms9catQPfH5UD3ycGc9xAyCPbfMeD0s3oA9Ecl6Pe7fdD11K2U9aQ5ePV3eSz17XT89XiBPPTh7Vz1TNFQ9ut5ZPYKOaz1IpWg9YGhwPX15cT1B+mU9kuVrPVntaz1R+WM9vI1cPcJLZT1ix3E9aJR8PfyXdD35cn09MqV1PQUFfD10cH09DiCDPQ8wgj2ZYYE9IipxPdQDdT3NYIM9bKNxPbTpdT0GFnw9uwWKPbF7iD3elW09kOByPcjkfT1iY3w9ZNCDPRq1gT1HMJM9NaiLPVNIgT1NFIM9Um10PZoZbz2u9Wo9UG2BPfTXfz0Yfm89GVFvPY9LZz0f+WA9uudsPfejbz1773w9BM5nPX/zTj18iEg9koFXPXPqbz2sf5E9Ms+UPTDxlD3/F5g9jkmMPfKDiD3XWIU94t53PZ1nfj0qmo09hWOEPQRuaj19C249QYdnPYb7Zj0kbn49DUF7PaJiaD01ElY92rBiPUgogj3W+oA9DyhyPTbqbz0QpYU9HUiCPRoOgD2xs489zV+PPWHLez2XrGo9LbdcPcZ3gD0uoXQ9NU+APbPxfj0j9Go9mnaGPQwcmj0fV549M0iaPbDMnj33hJ891lOQPaUthz01M4Y9QoiFPXcnkz1PDpo95TyVPYKLkj2nRpk9qwiHPQjAjz0bv5M9fZKLPcxKiT0Sv5M9MNmcPWKCmj3mPJY9wUOWPVVLmz0Ow5Q9KHWHPcRvnz2ffLE9nj+oPZwomD2NcKk9dfCsPWHOpD1uZZM9hsaFPdNJgj1mFY89A86PPRguij1nW4c9+m6EPd0+hz1nWHc9RuiBPRtnjD0K9Jc99wCTPU3thz2k7YI93euBPYdhcT1GP2k9uYVxPYQpeD2B1YE9PRWDPe1igj3vl389Rg2JPfoBkz2CGpI9rDuLPUkMiT3n2449M96EPWJngj14YoM94BSKPbQvkz1vu6Q9QRylPdccsj0hJLY9oD24PdETqD293Zs9nfqZPWgjpz3ZBJ89CxySPfWPmD3YA6c9VvadPWL0mT11R5M98cKXPSRqpT1rm589D/6RPY34lj2nH5Q9MTWaPcGvnz1u3Kk9s+6lPVXDpz1Zjqk9y2ytPWt+vz1n0bA9E2ujPfbCqT2HK6Q9wqSdPer8lD16zqA9L5+qPWUfqT1aoq89czysPbdZmD2Dcow9ESCEPT4Ncz2V0nk9/XyBPZj3gz1Mnok94YSOPdXhlT2oQ4s9x9+HPZHWiT1qvZk9h5mcPQ6fjz3abpM9bvSPPf/vgz3ZX4w9LcmVPXQ6lj0rcJs9GHmZPX5Jgz3M7XA9BxB2PYv4hj1xnHU9rTx3PfRJhT1M3pA9wtWKPT6+gT1aw4A9qXGEPT1dgz2DqYg9KXOGPU76iT0Y7ZA9reeePVXNoD3m3Yg93veKPWskiz3ZsKQ9g7ehPZnkqz3OdLI9mquXPavqez1yH3g9i055PUsWgj21DIU9JhKEPdMJfT1F74k9Ou6RPX+Mnz2sq4w920WMPURJgT1ZdXI9YGN3Pdihgz0jhYU921uAPVc2hz1rbIw9YoqMPSpUlz3V2ZI9leGJPdvSiT1q4pE9lpySPV4bnj2opI89MTSGPbEShj3bco097wSOPaFMhj0gq4I9fFN2PQ+dZT3wEW09lMqEPeB4gj2+k4E9k36GPSMGjj3ECYQ9DRx1PQl8eT3iNo49TuCaPRmwoD2cOqY9xA2ePUGTkz1BtYs9O3SCPcUFhz1uj3Q99zV+PXXHiT1V1Y09gnmLPYHBlT16EpE9dwuGPeg+jD33XI49iZ+QPbKrhj3jFIQ9vUuJPX+mnD1fXpk9xhulPW4bmD10d4w9qFeQPc/7lj1g05g9teCSPZpAoD0OR649McCbPcfEoT0yTps9kNSZPVj+mT1GlI89fCaEPVomjz3pBog9yd9zPdphcD01zoM9PWCCPbn+cz2kCoI9oICJPWQEgj15umU9ggNYPbLyWj14Qko9lNYvPWf8Gz38+Ro9w6kUPWHPGD0iCyk9CxY3PSBcLj2ccS49EgkkPXK3Kj0R+xk9DMsUPRi1CD2TLeA8VD+4PN9YqTxYOZ48mQKvPGgbuzy9Cas8tmu8POZMxDwuDKQ8U3SRPLP9ijwbn6k8Tcq+PGiJjTzYpIg8WDGTPO9frDydJck89wbLPLCPtTxaYq48mVSXPEKLkTwC1JY83dCMPKNqmDxsmY488fOMPNpOiTw3UIk85W2DPHF6dTxQnGw80RB6PMY7ijwhs488U+GPPK/fhjybVps8dtSVPGDOkzydVos8DcGFPA0chzyVwIM8IyqQPJ+bjjyqgYs83BKPPHx4hjyn8pI8oJ2oPHa8rzwuT7k8in+6PEtDrTxJvs48JdwBPSQY+jx+s9U8g/LZPHfp7zwuxPw8GPcEPaH4BT0u2/U8Og7wPLX7/jyP+AI9UIj5PBYt9DyOivk8tyzrPG/0tjwwaak8k8W7PGohsjwLTrY8WRewPLwtqzyaibU8OUvBPA1b3Dz0W/A8x0jZPHyEvzxUfrg8MX/GPAXw1jwTPNU8wvbXPFNg2jwLBdQ8rK7EPCl9tzxRVsU8Ej3CPPwMujzx4L8834qxPEzBrzxl1Lc83WaePG4jnDztcpA8jN+DPL9BhDyH26k8UFG2PFMtkjweUoY8PoCAPPmVjDwpZOI8FQcvPXol1j0vXC0+CIE3PjKyPj5vzDI+3FIgPvSpHD79pho+urI4PkFOND4pRjU+Ewg8PirWIj6STx0+QWE1PuHTJz7hahU+KRQZPhEJPj5zvUU+4k5IPhqiPz7XzTw+ycQxPp9aGT4eEh8+WukcPq7bFD4e9Q8+Ztv2PQFsDz7tNSA+KdEnPvURID4820A+++gtPlpWFT5HghE+uxgoPpAwQD7poSc+UbEbPjODPD4LkjU+R4crPsLRPj53/j4+DioHPvh4Az5QqCc+E0EePvhtMD5OUDI+RCMPPrb0Hj5RgTk+VqlLPuY7Lz4TBUU+cMxGPlD5LD4f3Sk+TUNBPoomLj7nihg+RJMTPlLGEz6LUTU+gB41PtMMLD7dkTY+StUxPmEoUj7XMEk+lDArPijyND4mLTQ+R2crPrAvMj4FxyE+e+0kPsIyID6wvBw+LigIPnpNlj1zjk09SZDcPO9uhzwkj5I8D2GvPDz5uDwu4r88asvQPNflyzxaEdI8hH3RPItY2jxRyuI8rbTaPEeR3DxNIP08gZ/0PJGP5jzcu/w8fBEFPQkp/jwVaeo8KQ3/PJDTBj2gcwk9jI8DPRH/CD2xsQw934wTPbLbDT2WsRA9pCIRPWihGj0mQis9zX0tPThtKj0p0Sk9j9MmPcWZMj0quC897oUoPedVMj0TWzg9fDVHPfJbTj1/C0c9jtsvPTuOIj2b9zA94zw2PQSNPj3tjEM9TdE5PaHrMj1Idjs9jq5APRbRNj1C+yQ91/8ePa15Hz0S8yM9dYkqPfOWKj3HlTM9xik8Pa50PD0hBTE9OV5FPb7rSj2EhlI9LwJOPUp0RT3OZTY99to2PQrKPD3J1kc9CJ8+PaMAPz1mCUA9MnVIPZb5Yj22d109z4pNPUjeRT1cvjo9B+40Pf1qTj34nWM9rpBfPQCwVD0nP18948N1Pd5lgD2fu3Q9atBuPbvzZT0S/V89HtFjPdb5cD1/Ll09gSNMPZ/oXD3tEWk9kjJoPbUOYT0EeF89Yi1hPcs7ST0LUzg9BeklPaozJz0cYz09hUlwPYkXhT3ZF4g9ksZ5PX07ij15hoM99nR/Pfyydz33amk9rSyIPTl/gj2Hzog9ULxxPUD0ZD27wH090w19PQMYbD1Fx4A9DwmNPTkuhj1KeoU94giJPU9Ddj1x82E9gWR+Pdm/fj1W+3490z6IPT8wlz3Qu4w9Va2APehOcj1iTW89rtZyPa88gT2tFYk9iqKVPXEwjD3+oJM9FP2RPYBRhj3KwHw97AB1PbP5Zz0Ao2Q9MjRtPYSmfD3VsZQ9vmaBPUpEUD0p6WM9zGB2PdbygD3VT3U99tpmPTAAbD3vSXw9T7R7PXIxej2wGII98CR+PXi1bj35RmY9M0yKPY2Jkz3jyI09d7GCPfhRjT01sIo9BzN0PVkYTT0bFl095ix5PTaqcz0QzGA9H2tpPb2PYT0nCmA9UQeBPdu9mj2RSZY9YUZ4PfABaz1qM4A96XmIPUjVhT2KCYQ9/KOAPZhJaz1djXA9rtZ4PUjQiD3o0Iw9SXqHPWdEiT044ZM9rKiYPRCahj3rnoo9W3WQPXs1lj3ZyZI9jN2OPY+dlz39d6M9MiWaPfVynz0RdaI9TjumPROzmT166pA9qD+QPfifiT2IfIc9c3mRPf7KlD07iaE97kOmPbCQnz0pJ5Q9k2CKPeB+kj0nuow9XY+HPWwxlT0sAZg9IDifPYm3pT1ylaU99e+VPWOClD2okJE9mKGBPV5qaz1S8nY9xPWHPejOjD2iyIU9fXd/PQKVhz2nv5E9pNyWPdcGij2fOYQ9AFlsPTPxZz2q9m090WxyPTm3bT3+hYE99C6HPZMchj1yJIg9yKiDPYTqjz1qRIk9emmPPVQ1mT0ORpU9YG2GPeEufD1Q4Is9XyWTPTgIkj2mT5U9YVChPX+jqD07krA98tK1PVZusz2CarI9aYKsPbbQrT3Zdqk9uxSZPYhdkT1/co092PyGPcyCmz3f8aU9Qg6iPWqJkz1cN4899yqGPbTHjz2x/JY94cqdPYZ7kz2IRo8918OUPY0KmD3qpZk91TiaPUiHoT3gcaM9cLWzPQRztj1Ko6w9DX2hPTJUoz318LA9U1KlPR3hmD1DZJs9MESjPaGAmT0CrpY9pV6PPb6OhT1u74s9rpqNPUi8jD2GdYQ9n82PPfCPkD2I1YY94a2BPcYPhz2pWYs9EfeFPfD9ij1Di4Q9qE+MPZn7lD1Oe4w9QXuFPdgbij3TLJU9RlKwPWFPsj1U/JM9eUyFPT3VeD0MHnQ9mzdtPVv/az0dy2c9Wih4Pf48iD1pV5k94kOcPTsvpj3p7p09ZN+dPaV5jj2BKIo9H8eOPfS1gD3CQ3M9gqF/Pa3ajD1ruYM98K6GPQOnmj0CF5g9PaOUPe7MmT1I4Ig9rXhxPQCZaT0+4nI9nLR5PeNNgT0VD4g9RPSIPTrnoD2uC7A9ibymPRxylT0nhZQ9sGqQPcSrhT12t4Q9UmGJPQp8hj18YIE9+VJtPUxNhz2uFIY9i7SBPfTNjz15upI9eoyJPUpDhD1b1II9YOWPPZbgmj2iKJ89TAiePWn5mT1qMo49BI2CPVsLij2ve4g9rPR/PafIaD31Ilo90wB0PQNfgj21g4U9oUGHPaIbhj2R5ZE904KOPUS7lD2adqc940KgPdSelz2LG4s9U5dzPUxHej0m/2A9ovFnPTpZfD2Pdok9nqOGPRNseT1XbYI95VCIPR1fjD35IIs93/yUPXtZlD0Jc449IjeKPS9tlz3m6p09qlGoPUSEnD1dL5I9FA+LPagcfT3f93Q9z9F+PSptlD1IJJs9F8udPa5/nj2CF5I9KBKAPU13gz3I6pE9x36YPbLDkz2ipZI9nKiLPU1agD2oqYE9Nst1Pb2vhT2F/Jg9LLiHPX9ohD1pFoU9Dpp/PZzubz3WHGU9z5pQPV1zRj1rbyI9pZQtPSLMKT0b1Bc9gqUWPSk6Lj3syUU9lV83PbHFMD0nzR49agYtPZE+ID2cpvo8EX/6PADv3zxNE6c8RmyYPBBWmzznS6A8od6tPFy3rzwq9J48qqaWPMktmjwvkI08g/OBPKRkizz0Ia88qnqiPK2/kjw9CIY8L8qRPE3trDwpn9g8rPzQPCW1yTx53bU8JxitPB2BtzyZyJM8BvCKPG/4gDx5eoE8XeavPHQnpzwfKXQ8sCyCPExPgjwNtIA8A0iKPOGciDyIAIQ8eMGHPHn1iDwJwZ48LzSaPL9kkzwuk5I8QqCTPFdbiDzoqXM8RaOFPOsHjDxSx448+TuZPE5Rljx/gas8lja9PEUvuTytFrE8quumPHbIuDxlI9g8d1bhPFSbyzxIY8w8CrjkPJ618DxF3gM9dF4VPbeYHT2/5Ak9rQoIPRJeDT3nEAk9xzrzPC1n5TwPIcM8adaqPCJ+mjz5BaA8ZH2xPJZNuDzK+sU8AsnHPK9IwjyUwsE8gJrKPG6AzTwg0b08w2TDPMfKuTyhsLM8zL/DPD/kyDzvk9E8qxngPBgL2DxOutU8F5zaPL7Btjy6q7c8S7TGPJ0+tjxJYaM8fROmPImWrDzC8qU8RZ6bPNBnjDxSbYk8+wyHPNnYfjwBKpY8V8+TPHE0hTyzcWY8k4GHPDQx8Dwp5O08zzCWPOcyWT32/BI+KXY8Pj2DSj4MwDs+Bmo4PvoxOD6eLCw+7d4sPltrKj4nNjI+yioePk8kIz5mBSM+UEcwPilRLT5UVTI+twk7Pn4kTj6Bvjs+JWkoPme7KD7Z5yw+0PkUPmYeGD6o6BE+X80DPmIPFT4sKRw+NpwOPjQxHz7LyjI+x3M2PqMiOD6W/yk+2M0RPgO3CT5H/B0+FpgpPjaBPT7aF1g+5aQ7PnzRCz5onfU9oq0ZPiVKKj4tfB0+5bgHPr4eHD6KLD4+XComPiMCFj5D9RU+uGcRPlTUHT4mhis+w/IhPgSzHj5BlC0+jX84PvcyNz7RBzo+ZXU6PlW0Jz4RbDc+gdYzPl7ZFT4h2ic+PxVDPpZbNj5v3zE+4BIhPiRgHj4leTE+0PgZPml4DD75XBE+yQQiPgpkxz2rOIw9vDmIPYQwXD3ZDCM9Gz7VPMMzkTy3OI08LH6aPGjFsjxH68g8EJHMPNU72zz3XOM8JXXnPPum4DzaC+g8P9riPM246TyKwP485RnxPKyy4zyPYvQ8XR78PLC5AD0z+Ow8ovvrPKrY7DxoFfg8I6r8PD5z/zwsDwM9eM0HPZvhIj3A2hw9B6UGPfKdDT3tcQ49xxERPYl2IT2LJiU9lmglPbgjKz1+ESU9WxIxPQAuKj0MAyg9xwU0Pe0jMj0q4y89PCs2PSAVMz38OiM9T/UZPR+RKz1AbDU9vBofPWMUIj1MqiM9qtUbPbIPGD3FTyw90pE6PZuoMD33nzU9figzPagPJD06ujE9gmFJPaXDTD37VTc9gsdAPbEXPz0ebkE9l4BGPQR5Rj2B3Us9FZ1XPcaBbT0wjlY9szg9PRU7Oz1eOi49GcgtPYhRPT1h/EE9KVlFPSHFTj0PgEs9fy4zPS8TNj2AGlY9BKNgPacyQz3Arko9N7lXPea3Wj12CWc9hb9tPdFtZj1tKFw9o2lxPWlBaz0x2E49UdM/PQbxSj1OEkY9/cYwPd5YMz3vokc9zEdNPQfoRz3yVkA9gHQ8PbROMj3sfy0968ouPQ9eRz3KRVE9B3hiPerHbj130XU9nKdsPVVgZT0yC2Y9FcZdPR3uVD16QU89R6BmPbBhdD0UHIM9Fz99PWL4iT3y9og9NA50PQsfdD0/aoI9dv2HPajygT30tWs9n2tNPaxJUz3LnHM9lMeEPR1giT0htIQ9bsJ+Pct4dT1WeXI9nSF3PR41cz05C2w9lxKHPUHkjz2uo4o9bNaNPXF+jj2wHZM9N7KDPSClgT1Vqn49M2ODPckliz1J4Hg9qiR+PfJmhj2cdI09pBhrPcXZZj2FzXY91DB2PW5qZz2nHWM99t5lPZVTXT3/Cl0913JvPSk5bz1i7nE9FgOJPQdcfT2wmYg9C6+ePaLxlj1Pw4A9y6yEPW5OhD2ZRG89FcRiPcU/XT0Up2496I2GPcRPhD24GIM9T4aFPd0hiT1xt4E9EX95PZPbhD0Kc3c9isR4PXv/eD2QEYM9vTGHPRDalD3XvY89abmZPTaGlz2mwYg9n4Z7PezEgD0LYYM9WQ1zPQ/+cj1k+oM9TkWMPWhHij1lyYs9in6SPXbWlD3ouJE9ZoeePftomz2F2Y09kcyTPexTrD1FubA92eagPTaAnz1g4Zc9ccCFPcFxhz0kQZg9XkKsPfK7rT2Rjbs9fp6qPbcIlz2KxY09JsWHPYa5jT1y4pA9/TmcPUM7oD13N6E9ZY+aPQ1Lnz3yzaI9NP6bPc5FlD1mB4o9Y1iMPTGTnD3KI6M9ckefPeSCmj00zp89n7WePa2EkT0BkpY9NLaUPaP+fT322W49YK9sPUpneT1uVIk9IuWKPQL4gT274oM9vFWMPeOYjT3qWJI9ngyUPYtZij22u4M9rMh8PQcYhj25JIw9azyNPbbklj3fmpY9BjOVPWK3mD3Snaw9rByvPQFErz390rc9BxSoPW0AkD3oqaI9LKiXPQUTlD1QTJk9Lj2WPX93kD070Yo98VqNPbvsoj3KJq89fX2XPSKdmT2a/Jw9UgedPUWqpj0jG6U9X4mhPWOzlT0Rz5c9SBuSPXD+mD1PDLg95GW1Pci4sD0iKK09jhmyPfFimz0jZpM9C2OaPclHjD2+EoE9pSyPPc65jD3rtpE9rpaOPaNNlz22cpM9/oucPd3yrj1fZag95niePZapjj3iaJE9bI6NPXfKiT2GRJA9fxKPPR5Dlj3SyY092+uCPbKmiz3tBog9q8+APfCLgz3b94k9d4eNPTuFnz3Qwp89GbqSPdbHbz1KpGc9P5lfPaHBbD3wwXA9pdR2PRhcez1muoI9MPiPPQVemD1aMKg9ZXGrPW4MqT2HdqU9ma2mPUu9jT2bU3s9+Kt3Pc3Agj1CMo09+HmOPUcCkD031pY9fFunPSyZtT1M26o9hjObPUzljj2vuHg9Wtx0PVG2cD0pTHU9wnWAPf8RmD0VlZc9vOWUPZeCoz1Ffqo9E0GjPT5vmz3Chpk91yiUPTJpoD19wJM9upCIPQAffz3dImE9JRtPPYFSaD015oM9VXSKPUSgoT2/GZo9+y+WPW6pmz203ZI9WwGiPdsGmj28IIo9khmFPTdzgD1RIYg9lPaEPfj2hz27gYk9waaEPXYZgj0tpYA9BL2BPYWuhj3+iYc9nYGDPUTxiD0al4k96hSNPQ2dmz2u1os92FaFPRlMhT0eqXk9dslGPVFYSj0xdF89cgZ5PcNbbj1R3mc9t7eEPdCdhD1++4A9Rb18PW/khD3ZfJc9jfKbPaVFlj0s8Jg9atKgPbs5mD2HnZc9iuuHPZHxgz3lqHY9t2tmPZ+UZT2SVYc9pNCTPbZFnj2H5409MSyFPR+ukj1k2Zo9xNKUPZs+iT3FI5c9Yz+XPXoViT2lJoc9vV+QPbOXlj3xRIk9Qc1zPWBtdz1K8XI9mSpWPT2cWz16q1Q94yBGPenFQz0B3TU9CMkpPV3tJD23cCQ9UsQePdHXJz1Z1TE9QwwsPTf9LD0BcS49auZEPbDMPD0whBw9aFwNPZDCEz0ruRk9G7ICPfOYzjyiV7w8A0WrPKr5lzx7Xpw8PWSWPFsclzzTM5s8NzmWPOCYijwxGos8JFOJPKMdkjzLH4c8QPKFPFcelTwyh5s8fgWiPCwUwjyEc7Q8wL+5PC0frDxUoJ88ivuhPD/XlTw2PH48g8ONPE1IkDzo+4g8nLaIPJ1pijwrWpM8QD2SPOB1kTyKSo48gomXPJCIlzz4+4M8kwGMPG36nTyi2Zw8R0GoPDlTrzxpt688K9OdPHxMkzxt7Yg8a9GEPCrHjzxRPJc8YvKPPPSCnzwIvrY8Qb2+PKKivDy41sM8Z/HCPEFu3Ty7rdI8en6yPAE/rTwl+bw8YYDSPP+fAT3S0gk9NLYTPcHqDz1DBgU9fdbmPJ3y6jw8h8k8EZaoPOourjyeeac8uBGtPPAXpDybPKU86BazPJBlwTz6ON48QgvsPHVk2zzD48g8OTO1PFfjsTz0LsU8j0bFPOEiyzzTftg8j2/TPCKYyTxmz9I84vfcPA2u1zwgpNA8oNa4PLtMuDx008Q8ynG6PPsQqTzBQKE8C7C0PN1ApjyKn5s8Io2KPKtSkjz0WaI8qx+RPET+Tjw3B0k8n9llPPPTazzYoWk8qMjWPCZp/Dy1jqo8bxGIPQpYCj6rWC8+kpcxPqSBMz56Ix4+buwdPuEWIT7vYjI+qE0mPmk4HD7k2Rs+kQknPo4NJD4EhyU+6tYsPtATHz5BVU8+Mng8PuLaNz7YUws+wzcNPieIFD42+E0+cPBGPskvJD6U1BQ+VJwDPsb/Dj4PoyQ+gz4ZPuoHej7CVi8+sfkgPh0PHj6ipRA+mGMmPownGT4rpxo+2cAePvOqJD4Cgks+KOFaPmqhDT48qwE+4wI9Pva3Mz4NnPk9gUsZPm2lID6/jhc+OiAvPsS3ID5imDo+OGY8PvMRCT4+hBU+2dApPhpJLT4aQzk+SOopPhRmKj73YFA+KyJ1Pk5MVz4MNjU+TOY4PiurOj6Zqzg+/9cvPoyeHD6syiQ+yvc5Pgr7QD466zQ+wKUgPmRcDD7R4gU+eQyEPezXmTz/gns8ApCHPDfbiTw4I5k8wXadPHuypDw+R7Y8gpzMPJGA5TzcxNE8B/TePMEV4Tw2Odw8bR3jPIU/+TyFzQA9VBb5PLKWAD25vwM9lvD+PEZqCT1m0wI9sjvwPPeK6zy8+Os87C37PBaCBj1S2AQ9ZHcBPekLBj0iRAw9KvoXPScvIT3/Pxc9vBYKPbHRET3knRk9DyYYPUM4Kz2lhCg92LkxPfzYMT3EMiU9HvAhPV8sIz3lRCs98kguPdXNIT2Apg09RZoLPYwDHD2Bax49iDwkPbbsNT3dxyY9Wx8VPSlMMD2qpjo9W5wzPQkSMT38vkc9IpNCPUmtOz097zo92lw3Pe2HPz3IYUY9BrRgPVjDRj1WETE9iBY7PerURD0Q5j89S0A1PQAURT155GA9whRVPbiyTj0hVUc98w5CPQULQD2IGjs9bMw7PY1ENT1w0S89GjY/PertRD2ZokQ99G07PU00Uj2l/WE9mEtyPcH/YD1iDVo9RgFXPRcwWD1a+1Q9iWJuPUlAXz1OqlQ9KKhVPTbQQz3DgTU98TgmPVH6Hz1EwCM9fJ4yPbaDNT3pHD096BNaPbxFZT3u51I9Iz9UPdHdTT1VRDk9kto+PdnJTD2WoFY992lPPV81Wj2Z51Q904NHPYGHUj1DjmE91DRxPcwaaz12gGc9dwdWPaxwcT3224U9p4yJPZwegD1jN2s93b5lPS+vdj00f1w9a7lYPTuFVj3I/lA9Y2xlPVrFez1U4oc96EqHPVOrfj353Xw9zw9vPURXhD1kN4o9fkmDPViNfz1WRYM9HT6DPSzKcz1lcH49diSKPZASgT13C4M9AiV4PcsIgD26fI89ScqMPdEjij160489KD6FPdChbj3h4X49Psd5PbrVbj2Pl4Y9UEyMPZpjWz1zpFQ9A5ldPRphaT0waHk9pjZtPa04Yj0Mwm498lh9PSYbfj0E8Ic9UA2aPUUDhj1ZtHI99nZpPTKHVj0IE1w9z3qAPaRIdT10sIE9K8GPPWi3hT0UQ4w9BXSFPdySij31oII9rzxvPfR+gj3sxn494AJxPYOacj3oUpE9BFmjPbgmnT2Rwo49MgSOPaIMjD18dHM9DOdrPZOlYz1fxF49x3t8PdX4hj2RWpE9nYebPdNKkD09lok9oi+fPWMTmj2pJp09BgqZPRdnnT1VdZ49FTWcPVAonD0rCpo9ZA6RPUk6ij1zE5A9kVqNPd3fiz2rMpU9NKumPWCLqz3s5KI9GcuVPbhOjD2mS5o91qOkPZ7woT2tsp49Gk+ZPQdFlD3QVaE9zI2ZPcFtlD1nhaM9xXeiPd16mj2QgJg9Co2mPYvKpz1pHJ092H+aPSMAnz2Nzpw92V+XPZxAlD0Gq6M9yh6UPVv/lz11l5c92nSTPZ72mz11t6Y9jMKjPUYdkT2C4Ig9K8mEPcjWlD1B5pA9EAGGPdooiz2SAaQ9urSlPQltnz0qrZc9KviPPZovlD1dIZU9bXKZPV49pT1tAKk92wimPcGHpT0jPJ89bSmKPVEbgz3q+YY92tOQPeMQlj0eeKQ9oceoPaAxpD2OFqo9S1miPe1NuT0LOrs9rnenPZF4pj3GlK09Pl2zPZLTqj1HH6w9IfKmPUZ9lD379Jo90EKaPXVemT0IaJw9a/qwPR1jqz3VW6k9EjW/PTXaoT3gnJc9UymQPWQ5hT1MB30998OFPf6Cjz2wsZg9J7mlPaDHnz19da89rNPAPRlEvT2Ch7I9BOKVPecTjj2z9Jg9MAeYPZofkj21WY49OFOEPVGngT3oho49ENSYPQotpT35iJk9IpGCPdSqbz0+sH89iRiGPYjAlz1Ncpc9kgyRPWVljj2btnc9lVppPUU7bD1MBoU9GcWVPSKoiD1WzoU97HCMPU+6lD2k8Jk9D1OKPTLdjj1jk4k9ExCMPUbthT0+pYU9ob+EPV9Khj32tJE9HXyQPS5ijD1jVpI9MUeQPc9TkD2WHYk9QXNmPeMccj3KG3k9Cw6KPevTjT3B+o49xsebPYt2pT14raI9hBKRPcpQlT1y1oo9iraTPVY4nD0Z25I9PAaVPWs8pj2B5Zw9lYCHPeJ6fD3lznU9Q+V1PVnUhD1lV4o9MAuRParXiD02I389XMVyPXfniD1XMKc9FjyvPeIXoT1v3Yo9OF+NPRe4fT09woY9vv+cPSnzmz0Vyp49Z9eWPVH1iz1dHpU9o06ZPXfBlz0Z35I9QnmLPfcrjT3C3os9vv2JPZA3kj18X509XI6PPSM5ij08k4A9Cxp1Pf71aT1YoWw9Gux7PYeNej2FG3U9pZuEPZZAgD2mLnE9Z7F8PfQynD2du6I9Q0aaPXbOmz02GJ09fLyWPZlYkj0W3Io9iZWIPcZHkT0NTH49+mpvPRYNgD3rrYo9NVygPVQTmz0upp491pCTPXcOlz0LOKg9pw+QPQFFjj3bQ5A9/F+dPQIolD3J/JA97MSfPZWvmT3RGJA9r4l5PUbaVj3zzEg91Jk3PRLrOz07yjk9JuMxPfH7Mz03UC490MErPRELKz0Ezj09/csoPd/bKz1yu0U93Yw/PdpKJj1NaCs9MlsdPTCeDD0abBE9Bm4BPRppBD22Pwg9hOfkPIMEuzxpH7Q8Aaa9PCVQojxXXJU84BeXPKIopzwXoqQ8w+OQPFyvlzw3j6Q8mP2jPGLKizzXUow81x6GPExplTyYJKU8FMqYPJelnzxU4sU8qhu0PEB4njye85s8m0mhPEnskTzEFYc8bMKWPCLojzyB2Y08KD6lPCkhozyS26Q84VGzPM4SuzzAprI8VvypPB2BrDxVc6w8GbKbPPZqnjxuG688Xb6yPIi1sTwBTqg8OhqPPOq8jTwm4pU8CpKgPH0GrDw6K5s8vBySPOYEnTyoGLE8xFq3PAmKujwj6bs8kP7LPFOJuDw+sqw8xvGjPBHotTx6I7k8nI/fPJPv9zxk1hw9KswWPeu3CD2poPg8baq+PIUxrjxfC6o8f+CjPBBWrjwRS6g8tsymPBjzrDwBTaI8usDEPI6B1TxRDNA8dQnRPGIzxTwEWL48lbvBPNIqwTxxlMc8nX3RPI+S3TwEbus84p/dPJ/Kyjw7gcw8SmzNPC7HwzxC8bs8J/q4PLCkpjx8HZ48J5qtPJ1awjyyQgA9VYonPadsAj2vDRA9GbhePVW4tz1En9M9YdGVPcpqqjy66Sc86fdDPGEVdTx/FqQ8yXzsPEx++zznopU9hcUWPozjND6WXkI+Do9PPvvzQT6n6xY+KA8IPt26FD40Ojg+XzgzPj67LD6URT0+bT8cPgIDEz4j7Bs+yo0WPuxhJj6RYjo+PJZPPqiLOD74Igw+/KkWPgQbMT6E7UE+6LU2PriLJj4HyiM+4rQePvXyDj660Bs+NNIvPp/vPT5unkw+CZQaPrrLFD5Wsyg+Lx9XPnrrZj6RrSY+qcAwPu41LD532Vk+3dc8PlVK9D1iiR4+/mBePn1oOj5xEQ4+QrQTPjooKj5F8jU+bR4yPtqxIj7quzQ+Zl5CPl3+Gz7WzxA+3pESPtfKHT4MGRw+bLshPm76Hz7x3ic+jgtRPkzhPD61pj4+xJY8Pr0LJD67RzY+iehEPjh9Oz6NnFs+/tJmPqlJND6BVdQ9OPoYPR/avzyicLo8EDWLPD1OhTzHB4o8EvSRPA/BnzwwzKY8UVmuPE4LujxW8sY8NnfUPMrPyzzXvd08cyz6PBdd8TzHh+k88S7uPMIf+jwoy/A89K3vPDCP9TwAPAY9WN0NPd+WAz21TPM8DdX4PAFm+DzU6f085A8APf+vCD0t+gg9hxgKPcN/Bz2jdQ490/8ZPfCdFj29CQY9POcNPXTDET1Zuhk9xG4dPZ0TGT0TYBA9NyoWPVBUEz0RMw49BToOPTj1Ej2KBxg97+kVPcOCHD2+zhw9HzQYPaG7Jz3Jtic9sKcrPR6SLz0HLig9S6wsPayqJz16aig9vnIuPeIcLj0dTiw9S9w2PWNIQT2dMkQ9zS41PW4cNz12m0A9qQJHPU9+QT0olTQ972AvPZcNOD3GVz89PWc+PcmgOj1WJCg9n8QpPbynQD26d0Y9TnwyPXUxMD30ejA9uAlDPZCEUz11Akg9HLosPYTiKD2FNyg93Es1PWuUND3snTg9z65CPRPJUz1rlUw9A7tTPeBNaD2ayEs9SOtLPd99RD2FvEE9pLhGPQ8oRT1kmDE95i0pPeekLD3LTCE9bDQUPeIYHz3nvUA97otZPXNHVT2KKkI9n8NOPVA7Rz1qBDU9aYE1PTM7Rz2ilVI92M9BPWf0Wz1qLWw9GB9gPRPQYj2jIEo9aeNGPSGfLj1dKDo9Ahp3PcyshD2ymHU9vp5xPZC2WD2JP1899Y5pPcEXgD3mWYM9PcRrPc0yej1X63E98Ud0PfUDbz2zbXs9DYaMPdGvgD0SaXQ9439yPTUzhD0maok9lamGPeM5iD1oFoU9lxqFPWTDdj0UqIQ9urOCPZ7Oez1kIX09A3CMPby8nD0INaE9Av6bPWp4oj3apZc9Udp9PaHMYj0GXoI9ahWFPYlJij1zb4s95uJzPVxOUz3GOFU9w85iPZNIbj2+4HM9EtVoPee5Zz1kBmo9YyRlPV8EaD0kDnQ9hMxxPTcQWj20kU09lCZWPTktdz3n4os9REiRPTobjz2fPJc9feufPWWzoz0BS6o9SvaePSi1lj3uqIo9UtqOPQmJhD3yOYY9OICHPTLIlT1Aq5U9u4WNPclHhT0jBYA9A2d6PVBaYz3T0VQ9kPlZPRzbZD0NOXo9xuKGPcz7gD0TO4I9sbiMPXKbjj3E7Zk94xSePYtjlT37cpE9h1mNPUD3jj1PwpA9YEaNPVNjkD07cJI9dtqQPemQlD1I1aQ99XCkPSK9mD0kr4492LicPW58pz0KyZg9ziWVPUtAnj0K/aM9NjK3PdXPsz2cF6w9l7CePXzEiD3+/449IP2VPWwAkj18VaQ9fSy5Pe2JqD2PF6Y9t0adPYTkkD04D5U9StSdPQJ2mj1hPpM940GXPQ/ilz0KrpA9sJ6UPWGTpD1LXKg9VcWpPTbRrT0Bt549vp6RPdMqjT0AtIQ9LyGHPVb3eD2QUow9yXmbPd8uoT33oak9RsenPf0RrD2gLZc9E+aTPY+LmT1uOY89i82IPQU7kj0xWJw9EVOLPVzhhj3WXn49jU9vPe7miD3/BpE93QiWPVV5iz0PM549hay6PV1CxT2sWrs93vGpPZ+koT3Cw549SBSdPRJqqz2dA7U9ggWmPeZmnz1Q6LA98Ju0Pd4HnD0nUJM98peKPX8+kj3hBaU9ZcaoPerspT2H8rE9KGG8PcGdpD1tCJU9z7OOPVzdjT0fRI896f6EPSJ7hj0Hgog9jiGlPRKPrD0vV6Q9xAqVPdJIkD36P5I9HX6UPQeImD2R2qI9q+uvPUeyoj1FzpY99gCPPSEeij2pqpw95BeaPXO0jj3z5Xo9UCtsPSbmdj2AQ3s90WuDPfPCjD1vIpk9vd+OPYILjD0+54Y98PtpPe/rhD3/3ZY9cYyTPXYBjT1nTIU96niLPeA8gj3u9Y49OTOKPQkgjD0lT589VqKVPVJTnT0wAKM9sfWUPRKdjT29Jow9aMaJPeSamT1+DZ892wyTPULlgj3UrWA9pvRgPbo0hD0jlYk9fSuNPRjXmT0Yqpg9dC+PPchFhT3AHHs9eD5zPXXkeT2XtZA9OvqXPbqLiz1k54c9Q0CNPdYgjj0OiHo9uz1pPY2WaT2pbnQ9YMqGPfGqiz2fn4M97gWDPZ9FiT2ghIs9RNqEPQyZiD2pUqY9eBa+PTDdpT3GHY89rPuNPd+ZkT2tco49FD2ZPcuXmT1ko5s9gE2NPUjzhT2sG5E94lePPYQqiD1Pg5s9fwyZPThqkT0Ux4s9oFCGPWk3iT1Cs489fF2VPaSsij3yHIA91b51Peo0YT1tNnI9Ylp1PdLLgj1FNIY9WHyJPRHsiD00eYE9sseIPS+YjT2UDp49V7eiPerfkz2k6Ik9nAiFPXTpjD08XIM9w093PWucgT09DYc9ezSEPfAvlj2Hn589DPenPW2anT1TqZI9sgOSPa7qlT0HCpw9GP6OPb6giz3b3ZU9cseWPebTlT21opw9nfiXPRszgD3p4GE9za5IPVDKQD370UY9eXQ1PUdYKj0jgTc9wjQ7PQ5UTD05TU89bLU2PVoBJz0TSy09LWAuPcyfLD3BfSw90Q0XPQLoGT3xLhY9tyQaPWsoKT0tShY9cH0ZPXGyGj0sY9s8oKS0PJhrvjzwuL88UbusPF3RpjzVdaM8AgymPL+7xTxLDMA8RT2kPIfblTzYQ6U8w3OvPHC5pDzO9qE8dnynPF3WsDw0u6k8LwCZPKnkrDyaAMc8oKuvPMEanjzIjbE8kZWvPLH+rTyhC588ayOgPBvsnzxZpJo83N2lPMAUqjzKaqo85FexPAmd0jyTac88BQS6PE8GrDy5AbU83+6pPJeLoTym16A8TXSiPBZDnDzx+Z08fhuePAbZqTyQVas8np65POQPpzyY55U8/H6UPG6NpTzuUqM8zsGsPP7mwDzQnss8/wvLPL72xTxQmMQ8HBq2PItUzDxpGcM85jzFPNYx5jy3CBA925QCPYUI0zwyn8E8IWOhPLd+mjwls6M8lqawPERypDx4DaY8AbqsPNQirDyhLcY8AZ/VPEHh1TyDI9A8NJ3DPKRZvzxWD788Za6+PLZ11zymleY8WQfrPAfP4zzRUNU89zfIPKCbzDwBob48EDjDPPLZzTwhD708wLi6PPfcqTxxTJ88Hv+WPApv0jzEHVQ9PajJPXG+Aj6Ply0+abomPpF9NT6GgyU+yJ/pPREJGT1f6Xs8vOe9PHjoKT3J53092pKbPckl6j2/xw0+DMkhPrA+Sj4bvys+6iIhPhKqJj4lRCk+3fYyPhyrMz7LPT0+mVREPsCQND6KzB4+ZwsaPkPyKD5ucCc+GioXPiCRFj582yg+ardkPqlNMD6QPA8++foXPhrbKz7PmTE+Ko8sPg3QFj4JLic+Sj8rPi0L/D0gYx4+3IlPPq2rQT6lyTo++KIcPty4Cj5DNA0+f9kOPjO5ED4dkyc+etQ/PjLmOz5lizs+WPcqPlTvFz4jzRc+ltIhPv/FKj7rHR0+RqcKPixFOz5G7j4+sck2PmDVQD7MiDs+wN8pPjqbET70/DI+Rmk7PnStKD5/KCg+pR82Pqi/MD6hAzg+jYRVPllcSz7PSjo+3qU7PhWfIz4lDiQ+jFwgPmCBEj7oieo9Fr21PX3zRz3LQ4U8wgiBPFEajjw9Qos8ho6GPPsnlDwgzqY82yK8PJHQxTwHVcs8/mPXPN1Q2DwjIuQ8paXuPMOS6jyiCO48dwT9PH/+/jxB3vw8gXb6PPEIAz2dE/k8PCUBPXlmAz13hgc9M14APS3s6TyI+vA8SLEEPX4l/TwDwwA97x/tPLNv9Dw53QA9jBwDPZDIAD0/5Pw8ankEPUFqBz3OJwM9kEAFPetZBD0H2wQ9Wm4IPam0ET07rQ49ieIOPXdxDz2Z0Ac9gT4KPewsFj18miI99DAtPcv3LT2kzTQ9IB4vPaP/KT0FNio9Ab8gPb9kIT2dzhk99TwePXr6Mz2r3TE92agyPc+bKz0vmCQ9aUMlPaPBIz0r9R49SgcXPfnJLj3qS1I9OYJOPQD4Pj1DOjU9fhw6PRmuNj1J4C89LbExPRI2Jj13RSc9QRkrPa5xLz2uETY9cSgzPQ2cGz2SiCI9oj5JPfsoaD0W8Wg9lKo9PSp+Mz3HnDQ9uo4yPaKPPT0ehjs9Amg+Pb0+TD0y9ko9OxlEPczoSz1sD0A9pPVDPeFzMz08MjQ9XVM8PZHjOD1pDTk97sU0Pdj/Lj3C5yw9a1MjPSdJLj3QWjc9qwYyPV+dND2q6DM9l/0qPUABHT24fhc9LRIyPTG/Rj2iilU9uUZZPQaHVT2rJ2M9cXFcPTupTD059jQ9VZ05PQpoOj2djEw9io6JPSDiej3gTlo9JXFmPfzbaD1oCX09pk5xPUFvej2WzHY991l9PWzBjD2t7nk9qdtdPbcGZT3E1Y89AS2MPaEleT2qFXc93Ed/PRDMhj2fR389SpJtPfUagD3RVpE94/OIPbXRkT1T7ZE9ZGeUPVMbjT3fboY9OHORPRxvlD1yR5I98nWKPc+4hj1bVng9Z9ljPRR6jz2jx6Q9oGKWPfLbhD2bqHk9kphgPVduZD3ymWg91qtzPdcVcz2do289ZC13PdNsaD2DQF098jxwPQNkaD3zGlU9ul5VPbE1Wj2dMlk99BZ7PW9rlD0weZo9F0qPPY6bmT2Q1pw9VbqdPb4ipT3kgZk96iuUPfQnlT3zqY09vduKPbLzkT3B+YI96eCFPSF2iD1kXoI9sbeEPQF1jD1gDoU929J3PYxPgD3Sz4c9gGuCPZ81gj1ixIY9RM+FPby9gz1wpIw92xmXPaOBnT2n15w9ZhKfPcoImj2enpY9dwOFPbaBgj3Rhok9P1eNPaHgkT1KzY498syMPZvGjz0Kc5E9F16YPf8ulz0kBJY9QYCfPT7MoD1gqI49CX2cPckRrT37n6Y9SlmbPf00mz2iFJE97cCMPcFlkz0ETaE96xCuPZUnlz1fjJ49kqOzPVIwrT39bZQ9ZKKPPUcWez35fYQ9id+YPQIeoT2QXqI9F/+WPX9Lkz0HKJE9lQOfPVqKqj3id6890PG8PViRyD0mSaI90MyfPXJSmT370449L7eQPag3lj0EdaQ9YbCjParcnT28TpM97LiBPY5ghD1QLog9a9eJPfSqjD26OJI9EA2hPcYOpz2NCaU9xWaUPUnBiD0yRYY9lzyPPdbWnT1b86U9KXStPQ+2sT1Znbs9u3K7PVXsrD0vC6M9wI6sPWnIsT3qR7U9SfexPT37pj15y6w9+hCqPYyhrz0bva89UrWqPYIrrT2AP6Y9y9ehPRaaoT3NfKs9tCyuPYseqj1iLKM9SX+mPTKwlj0JRZY9tDiWPZxmoj1VAq09hR+gPUV9nT37Z5Y9E5mQPTxjkD2yOZs9pqCYPY4Lmz11kpg9CrWZPfmmmz2PU5c9pxSWPSyPmT1j5Js9+G+XPWjjnz1Ti5Q9PPyQPQiMgj1kRYA98umGPR1wmD115pQ9z8yJPVGViD03qZs9ha2aPZCcmD05IIo9ctyTPU3pnD01f6k9tZyfPa4plj2NNJM9bUiiPZoBpD28SJU9gCePPZiwnT2xcKs9yRyuPfMFrz1e2ps9r/2aPcNHoT29naA91JCaPRiFiz05TIY9+miDPbO9gj2J5HU9WEKEPU8kij0OxY09fmOJPX85hT2ppW09vQtiPTTSbD3mF3k9Oo2DPddjlz1cdaM9RguWPborkj0tyJM9EdGLPfvVcz0qXl49CDp1PTnIgT0V6og9OHuPPVyVkj1LApI9NnWUPZGqmT0hrJk9pS+bPYZIlD2wNLE9SW2sPQzVkz0QoZc9Z8iRPY6Giz0kn5A9s1ShPZNtnT1WX5E97Q2NPZaBkz2g9JM9PdOQPVf8lD1E7JY9u36kPfH4lT0Pyoc9H82OPXAgkz1Gb4U9gfVxPQT7cT1yqG09awllPVP5Yj2BWI89A1CNPQkYgz0/Qog9XmaUPcTinD1rUKg9Go2ZPS7Hhz0ZzIg9eSCKPScJiT2j9IY9+0J9PZqVhD3mxYY9tJx9PYKteT3jGZw9iRWfPVNJiz2oxJI9euWWPWg/hj0TC4I9SsN9Payjfz3YuIQ9rcaYPWJ2pz2gSLM9TXygPQ/7kj2mwKc9dkKXPRJHdj2+BXM9YitVPUh8Qj13z0U9/yJDPV4wSD2t8z891T0+PTceRj2QzTc90FomPf3sIj3PEyQ9GFkoPUr1Gj2/RBA98tsSPR+6GT2AFDI9UgQ6Pa04Gj2qVgw9A/AKPdso8Ty06sE8q8+0PHgqszzl+bQ8jQ2ePNlspzw/pKk8wo6jPGKcsDxsXrc8ZQekPDHZnzyBKKQ82P2pPNJsrDzV6cI8rU/BPAZjwjw6V6s8weaSPEgSmzwh4KQ8S92sPGFVpjzgaLY89iCsPJ8wnTwNcKw8iza8POvWuzwf58A8U2S0PEr9oTxlD688lFDCPM5UzTzyPdQ8l9zAPBNNyTyqWNQ8fHatPIx9pDxknKs8bgWqPCHLojziI6o8pgutPF0jwzwv99w8h4K+PNkvpTzJFqk8fznJPKy90TyKusI8/szBPOLFxjyulNA8cZ3APLd5wTxDbdc8p/nnPGCF4zyhot085ibsPBoH+Tzp5fE8hj7BPFUVqjz3KpM8YqOePNfKnTx3KaI8RVupPKLMpzz1xb88Gea2PD0ZzDwHLOU8ok3ZPFtZ0zxUg788/0fNPGDU0TysKMQ80fDRPHTv8jyC2OQ8z3HiPHbwxzzDrss8kOW5PIzDsDyvkrM8DsqyPJnBsDwCQ588NiqgPJZjtTzpp7887CDuPJYZNj0cuSw+LbOMPvtmXz7pkjw+XHYhPmhsIz7Rex8+gccNPnZd2D0Ejsw9PlXlPSLn9j3ScsE9aLy0PZ6Lrj2vmdM9wlsmPkvwOj5GtR8+8rwtPgqLLj5Mty8+oIg5PpmxRT6CClg+GM08PhuWKz7DRjU+8yggPrp8IT63NDM+9O8kPrmdIz7wDEw+PDpsPirrOz7QvSE+SXsWPvKRQj6gvTI+Fl8lPu6LNT6Wjzo+C2MdPoAtFD5PPiE+cpc7PtV8OD54mEA+aMZ3PiEDYD5Y7fU9BAEIPlaMFz7BbC8+OUYqPgzGVT7VB1A+We4qPpO2Dj6hnvw9vsEMPqW7HD6x2Ro+YpwcPtISLz6UQEI+JPJBPslASj5MeFA+iSQ1PnuiNT7Y2To+3NwfPm7OID4gMyg+95UoPiWJXz4cPmU+5RgtPsXhFj78KBA+KcX5PWYK7D3geYw9/ugkPT+HwTzyeo48vMOMPL9flDz4eZI8wB+dPGrvnzzmm548r7OwPP63wTwvv8U8B/jSPLhe3DxxSPw8gPTsPM0n6zzf0fA8fYj/PPfw8Dx6iPA8FMD1POAOBj3j7AI9AlD4PO3LBT2+wAc9qYsCPaWF9TwZfAE9kPYBPeng/TxE+vw8UJAZPZrEGT0ZOQ49xvMFPZuSCT36Ugg92MoMPf2QDj2Qjxo9gA4SPRaFCj1j8Qo9EH4WPTn+Ej0d9xM9v9UTPSS2Gj1+ihw9R54ZPY+hJD11AiA9t74SPZxRHT0pRB89yT0qPVBsOz3Mcjs9qiE3PQLaKz24JjE9X4goPYX8Jj3C9iI9dg41PSfoSj291Dw9XOYuPRcNKD1Bbyw9cL0wPWA5Mj3R+ys9SuUoPacSMD3MjT89wXs9Pes4Jj0ISSw9Xm00PXQOOj0Z6S49KQoxPa50Nz3v+TQ9D48nPRgFKD3nwiw9QX8nPVLTHD19yyU9FAk8PTf1Rj0B9UI9KeIrPb4QKz2p7DE9gpEuPfnYOz19pjQ9opwuPSLGOz3FG0g9PQ9CPZxQQD2OVDs9y/9APcrpQj1jOTQ92+M6PS2qNj23djE9i+Y/PYeYPD3bKjY9yppDPcvjPT2vGTc9deAxPS3jJT07nSw9044pPY8wLz3DjzU9t60pPUN+Jj2WjzU9M21DPd1XVj0+lkg9zixOPdz5Rj1lbUA9ibtIPZgvSj1Hsz89MGBWPTdNYD3ShGE9WGl/PQR7fj2wp3k9+Kx7Pe0xej1wvHA9zCNzPVJ2iz0XQYM9a457PQxFiT10dYY9BDZ4Pa5Hfz0gDXA9B5h5PZCthj1J4YU97KCSPekjnz0AV5Y9pxmCPVzAbz0iLoE92UyIPclehT3XoZM95CqNPU9vhT23PII95USOPSM2iD2EEYM9wvWKPUBdlD3npIU9PHyJPSO5cj2fCl895hhmPWayXD1hY3w9Sfd8PXRJgD2OU389E/5wPbRuYz1GrWg9B09kPe7fXz0tBWE92NpfPZmJXD05mm89P9SAPakAmz1sqJA9TYePPZb+kz0wHZM9h6uTPbgYmj3GSqE96iqSPa6Ucz1aeXU9Dhx3Pfy9hD0OTYU9ZLaOPZVejz0/MJE91PaBPZCLcz0iJII95JGFPQW+ij0rbY89TXGMPRdwfT3Upos96JOUPcIxiz1BBY89XiiZPVrgmT3WiKw9LQanPbm3mz1H9pk9FsKOPS0wjj2HTpE9d4icPdz+kj3Wmo4919aMPRXnmT3YHZY9onSoPVf7oz0CAZg9Zb+bPaQ5jz1nGIA9GOGOPTcPlD29Dp49LvKUPblMiz2T3Z09TgyjPYmMrD3Nqag9aA6ZPfKcmz0RUZ492nypPcfYkT2ur3M99uppPR/xgz2F4JI9+ReXPeS2qz1gc6A9FEmePXUgkj1vdJw9ki6pPZTMuD2V6MM9VAnCPUwAuT39l6Q94eCYPV5rij1os4M9JrCNPfNqmT3ZWZ09r2iVPfCclj1LPJA9Ih6UPbsBqz0ddqg9bsShPY31oD2R96I9u5ykPdJDpD1MOJM9wSeKPZ/FjT0phZo9s1CkPdMrrj0k9qM9xg6mPaN6qz2d1aM9JFabPYKPlj2w9Jk9r0ipPTLAoD0A3ZY9BZyVPalHlz2L8Jw9fKOmPVsguj3bPKc9z1CPPWOdjT0m2pY9nQWvPYqZrT1S96c9hmqqPalkpj1m1pg9QMuXPeyFoj3ddKE9FsKvPSKsqz1h2ZY9rweHPQYYij2I+Y09aFCMPVaQhD2tI4k9s/GDPb0VjD1YEpk96dmVPYyylz0w3o490Y2VPXURkj22NJ09XJqhPRzRpj0SCJg9SNuCPWgLgT2IZYQ9p7OMPe5hmj36HpE97laaPSzwlz0nS549dvimPQFanj3GYpc9A1mdPaQ2nz0ro649USOfPWFRiz2vFog9hL+MPZu3oT3w9Zo9EzySPZmXmD3kV5s9+6COPQ44nD1VpZg9nmGcPcPvmz23apk9bOSUPXPMgj17Pmw9QYCAPU54iD0lCos9oruHPbvyhD38e4E9dQx9PaFKhD11V4E92R6CPW0mhD1XL4Y9PAeEPS0qjT0zM489SGeHPUD9gD0AYHA9CstpPY3iaj1Xc3E98796PeYWgj10rIs9gwuPPUnjjT2WWZc9UmuiPWAlmj0leYs9CM+MPWHNlj2cyZQ9L1CXPaRWmT0lppU9tqmTPaEHlj3AApk9jmiRPVBejj37C4s9rmiHPfFLkD1k35U9vTuUPZAqpT35d6w9NUCqPSMKlz0WfY49aW2MPaSahD2gyHo9XRdsPdkLgT0xuIQ9oERnPRJAWj2J81k9XWpzPSZtgT0BF4897fiBPeRqgz0LSYM9Ih56Pek8bT1Z+4A9tE6CPRs2hz2C/Ik97v+APV3Nfj3KlZM9ZMCSPaBJij1tyoo9oO2UPejKlT3FOoo9BeiSPSBflT1brow9XFaJPVT3hT3l6oo9t8WSPVpomT3FV5g9U1+JPV4Vhz3FgHA9c2VhPTAcTz17KlE957BBPeadQz30pTo9tclCPStfQj03dEA96xQ3PeZKNz1m2io9XnYdPb0XFz2aNAw9/48aPTaJJj3JeSA9z9UZPZ4bKT0cuxg9L1YTPfo3DD0sY948xz7APLm9vjzx57o8aJC5PIASuTz7CrE8+BGsPH9qsjxjtZw8drWmPByzozxLBKc8iH6aPLSmmzzslpc8AJWyPPaGpTwGcrI8XUWtPJhEqDx0S6Y8YRShPBzJoTx/RZo8T3aXPBEumzxiPqM8BEa8PNj4uzy1I708h4DEPIQP0Dy40vU8b2/cPMQJzDyN0s089z3OPCYzyDymZcA82ETHPC10yTwIM7U8f2qgPEY1qDxej5k80PekPK3uqDw8VbA81vqzPMw5uzwGjqw8d5K0PHUXrTxB8qQ8BgHCPEXywjxu1MA8ujbFPLy1zzz+iM48pbLDPHEc0zxjCd08RA/cPPUI0DxMots8Xj3SPC9EyTxEssA8iIm+PE4PrDwWL6Y8MtKoPO4QnTwHGqI8ShqxPHHFzDzLtM88lsPHPKEBsTwSDq88Nyu/PGW3yTxK2dE82NHOPD6M0Ty+RtE8g6rpPEMU9jxk9tM8rT/CPAkpuzyMbLE8KlqwPD1muzzYTao8VlqiPOnDnDwrtZ48MXKnPLtL1Dwz/QA9oJs6PQyz4D1QiEM+85RVPpjYRj6C6z0+ab8zPpTyKj7m8is+Ic4iPlKwLT5LJTs+0v4wPnmqMD7IJiI+qX4BPsqh2j16pgw+1Lr5Pcw/1T1FHdk9ED3WPck74j3OC/w9FvQLPm2KDT5vNxQ+iAofPqQlMD4UwS8+XZ8rPh3lNT5WzTU+WQ8rPpQWHz5RAy4+tPZIPlQrJz5SJCI+OdwZPk1EKj7S5xs+s90VPt+dAD7+yQk+GFQkPsE5NT5PTCs+A0AgPujbCj5omBk+H7+MPvl/hj5UXCA+hm8bPtnCET7Njhc+hYcSPi6nFT4HMyY+rmkyPtZsJj509Sc+RXAtPjAOKT4NoSg+QFEyPpVnJT4GmiA+BgkjPtcPSz4cN0o+5pMfPuvMIz4VWB4+SdEFPm9q0z3YBbk9q6DRPRPr3D1X2ao9Z0DEPcQMmz1qfis9AfvZPMd8mjx6hZw8B5KmPAFZrjyn3ps8bkmmPGOptTzLGbo89LG4PLgyyjzdJM88urTJPF5s1DyhfuI8IA0BPYBOAD2n6fg8aA/uPKds9Dy0YPc8Zbf1PBPS5Tx4quE8BfELPe1ICj0j4/M8MhgBPdxHED0acBA9mF8KPW1X/TxZxg09FzoXPaVoGj05kRE9GpIRPZdoFD38whA9+WETPaKlFj2PgiM9+MAxPX/vKD3SRSc9CoYSPXrfEz24GxQ9tlUUPZ45Iz1+ciU9ClohPSFcIj0y7SI9t1AcPTYIID2IYhs9zkAUPSvkGD0kNiQ9RAczPUC1Nz06XzM9buw5PZBwKD0jeS491cYyPcyUNT3MSz49Xkg/PbNNOz1NUEE99qVAPd19Lj0Cii09CfQ2PYyUMD36iSY9h4AXPTEEBz0fIgw94noYPZV2JD1qNS49zco4PRNUSD1ygz094vU8Pbe+OT2OtCc9V2kwPbAZSz0sYTQ91SIgPdcBDz3ICxU9nXUtPUGsJj1D2yQ9SGIvPecHJj0ADSo95LIsPdXHNz1nDzU9YLI4PaCfRD0+ZUo9/WQ/PW/6OT1QNC89Qik0PVhfPj33wjc9/UcrPU9SKj0uPTQ9QcNTPXJiVD0+Bj89WjM2Pa1WOT3r3Ds9n0o7PQRiOz2m2Ss9ePcpPYk6Mj2Jeyg9XNMvPeHnPT0sVU890BBGPT9USj2HQEY95kxIPYQFXD0QVFo9ILU0PZYsJj2Zwx89Hw2APRo4eT0k3G89TC9lPdoXZz31tXM9ZfF8Pf83eD1mLH8939CDPaV2kT2HII89lUuHPWhyfj3r7Gk9U5FyPapygT3i6Yw9h6WIPU8sij2K/IU92xWDPZIbhT09Q4U9s7GFPedCkj3QeI09LFGGPRsfij1+bo09z4uAPQVjcD3kRn09DPKIPW8wjj3IVYw9I86SPftOjD3iIng9YVVwPd2bbz3gMXk9g+hzPd89cz2S8Xs9CiiAPRX+YT0MYGo9CAF8PbEIdj3mPHo9dZZ3PRg8Yz0hR2E9HhFiPdTCgz3pX5U9gXGWPdKelj0Zg5Q9b5GTPaxqiD3vgow9pHSOPZpUdj3mhYI9OOB7PQWBeD31TIQ9CM+FPSfRiD1rGYU9/5+APd2ShD1Vuos9J9+LPShChD2naYU9NDuBPbn7dj12Rm89jVOFPQ/8iT2Bhpw9I9afPa+Wlj2OSqI9EoSqPfQflT0Ta5c9DsSQPdidkD0VmZg9CiSVPV1HnT2a86M9ygigPbWylj1itJk9iVyXPQEimT1Xy7E97EifPbwqlj3A3JA9QHGWPbnCiz2NroU9RjiYPf0HnD0g2Is99kqEPXKfkj2np5w9Y/usPXmoqj1TjJs9Y9iTPaYEoT1kfpc9jx16PfCnbz1jiIg9vkqPPfSvjD0GWYo9dZqIPaI8iz3r35c9wJOePQdTmz3X2J095xukPSCXuD1xKb49PlHDPRi2sz34K6I9pVygPdg0mz211JE9RxKSPc5pkD2Y3489omabPdKjoT3hsqI91FWmPUKlqT2Uf5w9MOOZPWOBpj3eLaY9nMSjParslz1nWZA9laCXPZ2Cmj1BrZc9U1KmPRW5kT0p8Zc9wFKTPTHMnT2kuaw9LcqiPXwwmj20ypk91CaePYsxmT2l/KE9BcOqPWR6sT3nWbI96Y6rPSVWpT1QV4o9QruMPQV5mj13E509+PmTPZ2rkj0Fpo09aCyWPcuNnT3YaZU9d3eaPQYbnj33ZKc9CzCiPXyCoj3CYJI9pO2MPYALlj3klZo9w+qaPTOggz0Jb4E9rcqFPeWXlD2BNJA9GBWRPaugrD3Vdrk947yzPXEYoz2w6Jg98xSRPbXAhj3gAoM9YHuKPb7Slj27LJM9vlmSPbUGmT1HB5Q9a+iFPQMJkj1VgqQ9LHaiPS6tnT1kbos9SyuHPZRriz3XxY89pwuJPeAJfj3wH4A9bUGWPXM/tj2J+bM9dMKZPTk3hz3J3mk9pUJmPSvPeT1j/o09AfOSPfjBij0QEYY9sQmIPfcpiD3GQYQ91f6UPUrGnz26UZU9qXSKPdj1gD34AXo9DEB5PagVdD3hWn09Y+SOPWbUjT3gH4Y9U+yBPfJlfT2TxIU9fA6OPYCZiz0SjIs9D9uJPXTHgT0Fj4k93S6FPVQhij3x9oo9vWWTPdJ3nj2PM6E92lOiPSxZpT2cMpM9aX6XPQw2lD3GjIY9G5mDPc8ohj2a2oQ94s2EPQn1jD3L+4Q96zeHPaBMhT3EJZE9u1edPaQsnD20r5s95OWdPaRYmj1cs5U9at6QPaMcij3MtYA9Wnp8PZradz2C5IQ9Z0GDPa0rgT0eyYU9d0NpPdusUj29iFs9PBhuPUHvgT2enYE9G1F8PU8XfT34coc9ewuNPVWwgz0CbJc9rLOVPbNJkD13Qoc9sFB6PYsQfT0cT3c9POuHPSZZhj1q3oI9Gq+XPfFDoD2tgI49uySPPf2OhD383nY9flZ+PWsEgj1bYYU9aBOGPU3zhz2S1X09mMJZPUyJTj0AnD49g/MyPbU8LD3Ttic9ABs4PaU5Nj3dSzg9Gz9KPTycWT2kBEk9iMw2PSSKNT2gdCk94vkYPXyvGj1Sshg99xYTPTBGED0lVgk91U4SPY7yIT1r/RQ9968TPZWZHT1gog89j6vrPML/1DzUBs88zyS6PGkUrDwEM7M8hIiuPDRgrjxCK6U8iRekPLRcozyQuJ48+zOOPHxBkjyOmJI89aOUPGNylzyxyqQ8icLRPJAPtjxuwK089rehPER+pjznM6Q8m8GfPPqcszxaNM48SEvTPAcw0zzV5cU8NArXPNnl1zyNRtY8DWzmPAGb4zxsZtA8D1TIPGGfyDz/Z7k8hA26PPfq1TyIzco8I9LDPHW7xTwI7r08NKrCPHLKxTynx8A8GijDPPN4sTyBiq08djisPPlYpzyJ35Y8Gr2hPHgQsDx6ssk8+7jsPIRl9Dzx4N88B5DZPLWA0TzjH9I8rknRPPbp1TxgQNQ8YQu4PDPAqzySjKY81GC0PP9gsTyTiqc8m2i4PHCpuDzIj608LEm+PEGNyDwo7bo8Tp+6PJpFyzycLcw868LLPH0z1jztItM8qVbFPAiF2DyFIuM8yGvYPMgf0TzBZsA8lba6PIp9sDyrHbE82768PPoEuDzsRZc81GmWPPKsnjx1+MY8FCEJPcOTkT3T76o9RUTxPdn8IT6pey0+1AM5PpQgNT4eLjs+DfoePkFFGD60uhY+4vQlPpUiLz4YCiY+I7QbPjsZNj5jui8+IFEjPldAJz7trS0+TvUhPiqaOD54IiY+1ZMJPttF+D25gdk9593UPd6R0T2/3c09/27TPU1C1z294+M9IOf5PYN5FT7g3CQ+beU5Po0gKT4mtx8+/tA8PqJ9SD6+PT0+Tms3Pi9kKj6OBTY+jaQZPppI/T3O0A4++B1EPjVHcD4Jups+99FUPn9mFz7mEDw+Tsc7PgM+Oj62OTQ+2O8EPoj23j0Wsfk9BvUOPq5RGT6MgTI+kjc9Pjd1VT57xVE+o+EpPsvwMD61YkM+GuQ3PqtWKT78NDw+bRUsPqrnND6o9T8+EzwdPrm94z2hKk49mveuPExnhzy42I88sSCsPKp1qzw/qLE8iTKnPJZCoTxmRbA8DbWvPGzuoTxIDq08lcW5PPVwuDwbu648qAOzPEj2xDwzg8U8XWfHPFHrzjyhZc88cP3SPBX01zxO3vA8EnvxPJcx7zyswvA85hXmPHpf5jxUbOU8+Y3rPMKK7DxbcAM96iUKPcmA6TxkBfQ8jcQPPZvgLj2+2S097/chPetaID3iPBk9Xq8fPVwsGz0k3BY9BcQZPcMcET3KYA89kugQPWovFz2R4hg9Z98YPf/kHT0xnSo9F6olPYNyGz3DQQ89QSsPPWAlKT2Bnik9yoIpPWPwLT3styU91E8lPRAsLT3rvCY99KUnPb9qNz2qMyc9YrkqPXxJMj2XLSg9C/MfPTjpET3nixI9TEolPfcMLz24Yi09+8o4PWh4QT2xjTA96GwpPfv0Lz1iTSk92wE8PYOIKT0V4Bw9COkSPWw9Aj1QxgQ9O60OPZpdKz0MhC899XImPUs3Pz1JgDs9NPE9PeTtMT3T+yU9LXg1PUclQT0hhiM9fjgSPQoPET1Kphs997ohPRauHz3nRSA9DjMjPb+CMT2AkTQ9PudEPTiSWD2WQE893yNJPZ1QQD24UyU9b58oPQTKNz1G0UM9lz4yPaBGPj2bkS49rHMrPTErOD0zjT89dQ9APbURQj3u4zM9noY0PQ3wPz3JCD49DdQ+PeUHMz2RTy09GAI7PTOdPD1JAjI9Dkw/PWnfRz1XB189prtIPRhJPD06xUQ94B9APXV6MT1rsiM9nKIZPWb4ET2yRRc9WV9vPb0Naz20qWc9DaxoPXktgz2mg4A9OzxvPVtjcT2CNoU95pKAPR3wfz0xk3s9XxyJPQgUhT30rX89gBaCPUsQjj2Z/Yw92EKRPar9hj07rYI99JqRPeS8iD3j0pc9EKqZPfqGkz36OY09kBmTPWjiij0Qa3o99wiAPbBbgz0tr4Y9/6+WPXYgkT1/wYc9jjWQPXV7hj1xwnU9BYVtPVVqez2RQoE9TjKIPctWkj2udI496OyIPfMKbj3vxHU9b56IPUDzjz3IY3I9hCtnPc/Ybj0GQ3k9ZHqPPWYTjz11Sog9qD5gPXOQcD3/5209sgRsPdqrjT39lY09YA17PdgHZT1Sa2s9VYppPc/Qcz11UX89wXd6PZrvfD2wrpY97EuOPfzifT0GA3k9ueiAPTARZT10LWs9sQ11PcdRhj3tuIw905uOPdapkj3MTo09aIeVPZvalz01gYk9ZPiDPXL8iD2Rb5A9XpmUPTO0jz1xhJY9CaCJPV+XgD0aiY49xSWYPaN1jT18fKU9zwWrPTZ6nD09zJk9gG+MPe/2lj3WTZA9W9OQPQwFjT0q+XA9jcVxPazBeD2+lIs9cTiSPSzvlT25hI091K6IPcMnmj152Zo9jNabPYevlz1Mp5k9RRyIPbTqhD2Gd4k96XCKPQ1jjT2tM4w9txuWPeoIoj3gP509keiiPQkIpz0Mnak9lLqyPch8uD1M5sQ9T6m7PcD3pz1Sxak9996iPRkCoT0YkJ49jLWaPbTcnz3LVZ49V36YPRZdoj25+J0935+nPW71qT08Sp89BQKjPY0Hrz1za6U9m/OhPU2Onj2O8pA9QeWXPWOJkD2H1Iw9q5qUPe/alT2Uep09ql6oPdjAsj0KjL09/QWtPYfupj2zDJg9q9aVPfRopj1tILI9YBmvPbnDqj0rP6s9n0CwPecIrj3xm6c9z4SgPXSToD0qFKg9NdCrPSYpoz1te6Q9FaadPfLqnD28J6w9HIqtPTz6oz0pHa096picPV2RlT31D509dJGTPT1yjz1TJYg9x+l+PUJ6gT0TIos9fFOIPXGPkD1l9pU9lVugPfrJpD3UFKE9ZiibPXVtmj3hNpI9dK+SPUSNlj3I/Jg9YImSPcRsjD1zfYM9+vqGPUuegj0Tvoc9fM+GPTk+kD3n2ag9GASsPUOYoD2JfIY98aeAPV+rhD0tYYc9Wn+GPc1biD2+xpc9pV6cPRIMij0qYoA9UwB4PaVZfD1j/4k9kQt/PcvQeD0RU4U9Tr2ZPeKynj31Qps9ge+VPXbxjj1WkpA9eD+aPRU/ij0Cz4M90HpxPRp1Zz340nw9IHh1PRGfeT0Jr4w9bf+jPQdQmj0FD5A9yLaLPe01kD3etpk9JkOOPfFkgD3rDo49Z1KUPYmsjj3SEZQ98amXPUidkj3mBZU9ipqdPcKMpT2lgqY911CnPRiolT2o1JU9EN+JPe2ggD0IXHU9LoSAPY0Piz3WR5U9beafPZ6mmj34jpM9E4KOPXUdmD2z0Jw9ocefPSBXkD21LI09GUSOPcZuij2Kx4Q9SW6HPb8eiT11NJs9V22cPbGOjD17/oY94HmDPXhEZj3e+W09ud1rPVOTcz3yC3090i+GPXMaiD3sLIE9coeVPV/3kD0BnJY9PEGVPbK5hD1AYo89K2eNPXbIeT1P5G89mCp4PRpBeT2bQ4A9R+qLPQqNjD0ajI89VoWFPSbxkD06Boc947KAPT0efz2i0WA9Eih3PWI8gD3UQGg9oShkPbKTbj0Tj3g9dO9XPTD7ND3F8zA9rZQpPSbMID1Q/Sw9dZBNPXnwYD13Nlg9Yr5YPReVXD1aWkU9oCQcPRtGGj3yaA49AicQPVpZHz0TnxM9IgofPdmoGz0RlBU9aZgcPQNnFT0KMxY9PlEZPR2sFj2M7h89uQb9POnvyjxGs8A88hnKPAj9rTyX4Ks8LoKePKUDozzNFaM81/6XPHsjiTyEwZk85SiVPExIkTyp2Y08ovGDPADLrTxpgbI89m6ePEQHtTzNNq087f2vPGRBtDxtqrA8g4LKPNOkxTwe8MM8aabKPDpo0zyjvc08PgjkPMGq4TzXfOY8QrjjPM4uzTwfVMc8jXTCPJVlzzwM+cQ81vnLPGuUyzxjUtc8cKbsPGAM3zwSxsY8AczHPORt1zx4itk8DIDDPLsuvDxQ1r08/aiiPGWnojx+qqM8kEK9PH+5vTy5WeE8B07/PC0W1zz/OMs8dGC8PBreuDzSvcs8azfUPC1bzDw6EbM8EOusPNohvjwhQLY8EgOwPHORvTx068g8Lz+/PDj/sDxkg7w80LTJPKc0zjylYdE8t6XuPMH62TwT5to8cqfsPGK03jzsQ+U8xpDlPKZF5zwec+A8cSXIPPNGyTwWib089eqnPPgHpzzQUqQ8nvaWPFTnjzyYrJ48tq2QPGJdyTySWoI91ZIbPnZ/Qj7C+Ec+ckJOPqW7LD7feyk+810rPiCxHj4eDh4+4fYqPqDYLT6B1Cc+5XMePh4qJD7szDk+9tgxPi/hMD6QMi8+050wPvs2Oj7VZCQ+jvApPqLALz6WdDU+F28/PiLjIT44syM+qrspPuhTED4+JQw+tnIXPtdTJT5Jpys+4AUIPkL0yT1PYf89b0k7PmU2ND6eFz4+1ldOPm5JRj4uN0A+6fYdPki/Hj6eyRQ+N6AcPgKRKz7FrR8+J7cJPr9SZj6665c+FQQ2Pju5HT51lyU+qDQ0PvYRKD46Qy0+nIEQPtIzCz5Tsgw+N94ZPkujFz4e1x0+5ZI6PpBENj4oXS8+KRRFPv0MVD5QYko+NJ84PpikGz5QLxs+ZIImPgPOGz52Y789qPoNPT8MgTx9TVs8yBKYPC/ssTzolpQ8+geVPJ+sqDywmqM8cJiaPHnGnDyyjp48DrufPJ8jojzjW6c8IUeuPFk/sTy2vbw87e3APCjg0Dw8c9U8HaHVPIMF0TzxfdQ8lAb2PJjC9Dwz5gA9XigEPe0cCD1zawM9d93zPLD38TwFSAI92dEOPdLbDj0L5yM9sNEmPXEiAj3fcws96KwXPR3yIT3Jnxw9focdPU3EOD3eTyk9FYoVPX4xDj3WlBs9Bg0VPS8gHT1p/hM9HLUHPS6JCD0AwRI9J/EYPR/YHz3IRCk9n1QaPabYIz3YPR89s5ccPeoXKj2YtjI9KhAvPcZCKz0BszU9DI8gPYBsGj0NGhU9cH4fPQQ8GT0F1SU9O+sqPQAmJD0O3iM9yO0dPb//Jj1O+Cc9mW41PSfzND2yuSg9ppwkPaGUKj2xATc9pZYwPRcdLj2JSjg9+Xo0PVqiJj3YbQw9qGQcPbeUID0PcRc9jAkoPY8AKT2igik9eOYoPV2pOj0LnEU94/9GPemQRD36ui49kWImPWKwKz0tJS49GTQdPSQkGj244B8976oZPaQxIz0rtSs9LxEmPRkKJj1XAy09dMo5PZdsPj05h0M9kqsuPQOvHT3yfRo9vD0fPcklJj1w0Cw9NWcqPVmuMz3yHTs9Cb9JPakcPT3S8jI9fPcwPW9YNj3uUzU9gHMiPUYVIT2vHCc9Gr8wPa7cPD2szTg9qetMPeqPTT3Xyk89WFZXPYuUVT2EjFM9K7BJPeXFNj1CFjA91dQuPe22Lj1WHSk9WcEePT+oID0DgiM9NDNxPTMIeD0tvYI9zqd9PTUBgz29tHE9W+NvPZn6bT0u0mU9Ir96PbVchD37roo9hHWMPWZShD1UHns9KGePPXeClD1n8o89+g6LPZGjgz3nPYY9tDaGPZg9iT3x+YQ94XaTPdD2iz0ClYs9FAB6PbECgD0FNYY9o6aYPWPmmD3PPog9d1mEPXlrgD0lMYE9FFGGPcWKgT2fn4M9Hjt6PdeRaj2d/nU9aByKPTjrhz3Ping9r51wPdVrfD2Av4E9Uw2HPcmxhD3e7YQ9NXOMPQdCjz3JE4U9kdGKPXbBgT3DfGo9cjRtPf+EgD1hYXk9z6pwPQJbgz2vvoE97WFuPTrNZj3LXnI9y4p3PURtdz3O5YQ9kV2NPcaFhz16YXI9diVmPTGUcT3gyWE9+755PWYLfj3gQXc9ut6CPQxsjj13BpY9pSuPPU8mjz0b45w99OKTPUPKiT088Yw9QYuXPVOelz2eG5o9CsyUPdKwjT3gYIY9XCF/PR/Bij1ZJZE9Ru2QPUvpjD0R2Yg9kTmQPe4rnD3fUpo9qkGZPeWHlz1xoI49HxONPQB/gz2634Y9glKSPdZHoz0en6k9vZiwPQMcoD1KX6k9+vanPbGmmD2QRps92uqVPduvjD1COYo9Uj6fPZHQsT1vLZg9gxaMPTRKlj1CzqE9OQOsPWjjpj0TCaE9Vw+zPYAYsj2SSaY90GiuPfOTyD1BELs9MuejPbOmtT1bpq89Nk6jPdeppj1OWaQ97CeYPRUioD19Pqs9hw2mPed5pj1iaZw9hdOkPYUTnj09uKg9EqatPTuHvj2zZaA9aESRPdKsjj0Fx5c9KyyRPQKkkD2QdZQ9h2aVPQPSkT3z25k9n26wPaRSqz0l3a09paKqPTr4pT0rn509OQyYPUI0kj0ai549WK6mPbs4qz2LcqE90hmbPfIvnD3uHqU9heayPTq1qD27IaM9SdiaPW2knT198pU9FH2kPQdBpz1PMI89jnuZPfj9lj2aR5w9SZ+iPRhRmT2HaqQ9LyWbPSM1jT0nmYk9doGMPZj5gT11y4k940idPUT9nj1p4Js9b5mXPXvvlT0Zd5Q9xtGfPVmvoj1r+K096vKyPfvbqj0suqQ9ftKTPcNlkT1fwZw9mRiiPTiXnD2fr4o9kp+VPXy+uj3fIbM97e+uPStImT2LkIc9HduDPff9fT28uH49HzKRPevfkD2ya4g90DiHPWOSjD0TmIY94RGGPfRIiT3lDYs9e7qPPW99kD1G3JE9YyuWPY5dnT2uBaY9IEmWPUfBkj1HU5U9dTKOPXrwhD1vw4U9FgyBPaXShz1X1449Dw6VPbX7nj09yp89/SeTPZP7mz0JtKY9Xm6YPcPahj1XtoE9vjmAPat3fj2iS5E9+FyoPdGSqj16NZw9D+qQPRPhmT1xfp09ZJuaPcCzhz0r24w95OCNPYfYmj0JeJc9PLCVPYOykj2vOZE9H5eTPe1SlD3+85I9vW6UPU0Slz0Po5Y9R4+IPfhwhj2YmoA9bgaIPbwRlT3M04k9wLCPPZZ8lD2+95s9zsesPQuWpD3gApA91i6YPbzbjj1gGng9a1FkPbLKYT2mNGo9QUt1PRA5iD105ZA9mvuVPc53jj3NCoY96i+IPe3ghT17xow9MMCSPVpVjD2mCIU9Q5J0PRYTaT2/b4g9KOqHPcu2hD1aL3s97deBPeXXkj1zcpA9duOGPfuBjT3plYY9R9SMPYagiz3J63w9aM9sPU/ecD2mh3Q9ja92PQI2Zz1lQk49Ttw8PTSdMz2LEyw91V48PYmtMz0jvUQ9vANZPQgjVj1AF1E9vPlAPcm+Sj1jODQ96wIaPVgpHT2vSCE9qhglPYqyGD0E1RE94dcWPTEYFT2achA9hgoHPZ2xID3QFUA9BRgkPZHnID2UowQ9aUjwPOasxDwNdLY8LCizPFLZpTwFmKY8EA+tPJZvqjyu0608lnSvPC4+qzz5Lp48iN6rPLUSpTxEY608ALWhPBt9qjzMX508FIOxPDsnsDySEOY8w+3DPFrRrjz3crU8q9e7PNyTwzw6p8E8ef7FPIMayTwcJtE8UG3KPA7qyzwj97Q87oC+PIeqwzzQy8w8ovzVPFjFzjyS6dQ8nA3hPPJxzTxXxs48wfXQPIqByjyIfNA8ifTUPA9fxDyZtsE86gfJPA3K0zy9rcY81BauPKktuTzWocI8gqauPIsvuDymXLs8yWq5PFC1tDzarq48lBO6PGj/xDwYjcA8lyrFPHmi0Ty1AbQ8y5WqPApLtTxeKbk8URG6PDEtwjxYY7k8zG24PL7ztTxEBcA8yhTWPNp6xjxGpcM8//TqPABV6jzQZ+48a4cBPSxs8Dwujck8jl7lPPm57jzA9dI8DcTGPOFPwDzElqs8jmafPLmYlTyY9pc8uPuOPGnciDwXw4U8+kijPDKa9zzfWYs94qcCPgOFPj6+Ql8+dP8uPmOAGj50rRI+hLAWPt3uKj5iDBk+424fPo+XPz5fES0+7MEgPqRrNz5WUUg+CulAPnArIz42TiY+CUkwPu/RLD5BLzQ+8rRIPj4cOz7cvjs+LXRKPgmiKT587iA+DpQrPu69KT40kSA+WqciPpANHD4stjA+u0A5PqgCBj63HBA+Y/g8PsdhUj6lREI+iQAtPtUlGj6FFCs+RVc7Pt5TET5QxAI+c38FPvZdAz4xG/M9+fnGPa+UFT71liw+h6NGPkb1Pz4JpS4+u/44PisPHD4aW+09s6YHPr2QST6QURg+UMIMPmhXBD6ySgM+oY0nPg+dLD4Sey8+j8Y2PvAxNz7jtlE+sYxNPgiTID5HuQU+AhakPWxHJD2Zgns88N3UPADmrTxZ5lg88fttPJmElDytPJs8rMiZPENwnjzEcqE8gUOoPBcXrzxnHLQ8RAPQPKazyzy12rk8Qj6rPFBxtjxOP9o8ld3mPH3qBz3AMgw9MzkEPeMwDD2k2P48HtkEPRw8Cj3wJwc9vP0MPenKBj3VR+48HdftPBxx+Dy5WgA9SS8CPbGGDT0JES09L8MdPTmPDT06zRk91OMPPYBhEj2NCRw9Z/syPV9FMz01Jhg97aMJPV3QBz12Sww9fJkbPR2OHD04BRY9iG8RPRUVFT2VViM9JFscPSYJJj2I8Co92RsyPQznSD2MLT49baI5PQVxKz2u8C89s9ErPUpFFj2Wcyc93TIpPZkPGT2dAhs9kNkgPfH2Ij1Sjik9URExPeFHST2H+EM93u0zPfmENj17zjA9C9QyPdSaMT0QSSc9bNYwPf6xMz3inTg9xj8zPVInOT0Yyj09CVEzPVC3Mj3yTDc9X/oyPc9tMT3WEi09HaIiPZbJKT2qBTg9ga8zPRU4PD0IaDQ99iEvPelAMT05XDw9Z2kvPelfND1+PDE9mCUaPWUgCz2TBAo9QxIYPRKdID1xyw49g9ADPTaBBz0jDiA9Zf8rPdl1Qz2Wc049kgAwPdPsHj2bbSE9TfkhPbM/LT1QaSU9qSoTPTDOJT0SZzA90Ac2PWbINj0vFzw9ZzxBPdInMj0MVxw9BUsZPVg3Hj33BCY9TAA/PZkSRz2suD49XXZIPbyfTD3tuUQ9AY8tPckHIz2a/ic964A0PS4ZNj04qCk9TREnPQBGLz2wfCw9Lq4ZPRA4Mz1A80E9fk+DPZGdfT2gS3Y95mFxPUmiYT2TIm89ojZ7PQSZdj10o3E9oeWKPTY/iz2w4II95umAPeB2hD1gG5U9HviQPR8ciD0bm4A9jYKCPVcgjT1FpZI9pN6HPVlzhT1tAos98LaRPfh/hj1vin89a56APTendD13E4A9rXaPPfDPjD06NWM9pidyPZsBhD0jq4M94Ux+PRy8fD15BXo9eex6PePZgT0ODIE93DmKPaSPhz3hOY89oSKNPZ67iz1oR3899LB0PVGzZD2CsWw9WUKEPdMZcz1KIlU9kNNfPXHfbz2sV3o9Z5loPU5KfD2bV3o9yPdwPZiQaT2ApW491Hd0PVCIfT22n4U9eyaHPcvXfD0nvHo9HPmCPXzjcj0OnVg9NCtWPazKZj3i8H49LD2RPc6viz0zk2k9QPt7PRMXjT2zdJs9geK6Pf+TqT3dwZs9uBaZPQDVlT1/wZg9X+WYPQ+znT2ZkJM9mR+IPTgdgz3dcYU9yBuDPbMuhj0yuIU9GSGEPVHckj2d8Z49oUaYPX7wmD0cLpE9i8eVPYTAmT0Z5ok9xM2QPViUkz0kXak9P4atPcr7rT331LU91LOoPaqYoz0T7qM9so6zPeAioT32d4092+iRPRzPoj2ePp09SdubPWt/pz0ILaI9MgWhPTdNpD3i5J49yb2VPQuQnT0iU6Q964iwPbHQtj1Tya89BSC0PbVQpz2Q85s9eDadPbibtj3Y8rs9MemmPWfLqj3T6K09RF+vPf4kpT35NaA9/62XPZ3Ukj1WTpc954yQPa0Mlz0keZQ9Qw2FPU6kgz2ok4g9pNJ/PZ3Nhj19RYs9vfGRPTxekj2PyIo9XmCFPbE/mz3gwcI9mvusPX5PoT1K8p49hQeqPRIipT20nqU98xSuPTX/nj2RlJ49gmGpPUHQoz3dl6Q9j2SiPdHgrD1bbqI9vX+cPRDBjz1uSqM9IsWuPaLFnz21cpw9JKeePeumlz2xkpk9qIWtPVHlqT34m549jzi0PYoCtT2T3as9wXSUPSDejj2zOI89Cv6ePbDhlz1FyJU9TLqYPbK/mD0LXqQ9+6upPS2Ppj29yJ89vN2hPW6nmz0m1Z89yDemPVhasT3iFsA9ccu1PemMrj3Bsqc9qpOZPXvsnj3OEKE9OTqjPS2gkz05jIg9GGaEPVk+gz337JY9uSmbPXANhz12uII9+KuHPXPXjT1hX4Q9OymHPTtbiz172I09MTiGPXlNhz0nzJM9IHWZPdaalT3yQZU9yBqlPVXAnT23mKA9w0GUPU0sgz2j5oI9H9aAPZzqcz1Hi4U9dw6PPc70lT0rIJY9xhWePYoUqz3sdao9y4WUPcSUkD0rF5c9ixOXPeyjhj06TJA9NZCMPV5qiD1UTJ49TTqgPV+Nlj1ylZE9I9CVPasEiz0eHX49zD57PQa7hT3SPpE98jWmPWl2tz0amak9s8ihPcqOlj2aUpU9OjiRPZZriD0dQYk9P4iJPaGKhj0vmYY9NSCHPR10gj0cEZA9etGRPdo1kj0VNJo9EkqkPR58qj35L5M95d+PPVpYkD38BIQ9rnmCPQRwij2VCIA9bWFwPbTDcT10D4I9976KPYAsoj17Nqk9fDSZPSu2lz1U4Y09dX2UPYlqjj18w4Y98aqMPRMUiD1dIII9/Eh6PVHvgz1vN4U9Mf6EPbDBhD1hC449qf6PPSoPjj01MJQ9YZiaPbz7pz2j85E9NiKHPeoBjz1g8oI9DiFdPZMPUT0BNlk999ZLPQEUOT1nhkE9A5EzPV6tMz3TxiM9XpUxPQGfSz2U31s9B5xCPScWND1nlSw9aZYiPXqrID22Jx89Qz4kPXwbID3yPBY93akUPYMUGT1WBBA9VDgOPXNqCz2gNww9PhwWPVh6HD31QyI9b2kUPQdMFD1fHRQ9xuQAPSxXyTwtvac8raiePPfKsDyZqrw8tWC4PDi5oTxvm5M8E+SoPIhInDzOZZs8KOOoPCl7rDzfVKs86qmiPN31pzyYKLA8aIrMPAJevDwvzK88LXe/PEwvszx1rL48KoC2PD6wvjxpXb08iom9PL7exzylXNQ8PjzMPNydzTxYPbw85mLAPLmK1Dwp39w8RMLDPNohyjxEC9s8hXXKPNclwjyWNNw8NpDUPJruzzzGPNM8cF3XPAnCyDxD88487ATmPBJN5TwR09Y89LTEPPMozzwmptM8tnrRPNtcyjxXmqg8acaaPIpSnjxwNqQ8T8GgPIt6pzxtwsY8f3/QPPvsuTxGQbM83IG5PGZqvTwnrc48jIy/PJ44qzwV46U8SiimPJrwtTz9DdE8W3X9PBe9+jwo59E8iYTZPKeA1jwttOk8fn0GPdM/8jzVdtw8u4jaPAI+0jz5s848PSK5PDsPozxd3Z08x3CSPEdJgDyOqYY8BtOBPEaMcDzHBms8i6OmPMg7QT1AfJ89/135Paj+PD7qb2k+A2wxPoPsHz5LpSI+4ZQgPmtIJD4BWxg+BbkTPstTJT7tgDM+LttIPi8+WT7E5C0+YV0iPpFGOj4j1Ts+L0lAPqjyQz5KZzA+mn1EPtviHz4b/BU+Uh4dPlxzJj4z9CM+jKwnPgFoJj6IDyc+btYfPl79Hz4Ifi8+zdVVPr4KJD5e3Bc+yUQ5PvYpUD4qETs+lrMjPhQwFj6BCRM+B6koPv0MIz5gOhs+eMwUPrunHD4oPhI+JNbkPa1ZAj6vlxs+aZUVPpqzEz4AuBI+VxUVPk+JHT7Pmx0+D4ZoPqUTgD59izU+PU4uPlEZIz5fPig+wf8nPo1dKj7/EyY+RjUpPsqaKz41pxw+OS/0PdFqSz37Q4g8BTNaPD5Wnzyn6A89dGu0PKaJhDwovZQ8rQWVPPFkozxEB7E8XL+yPNFrszyM8rc8t5W4PKzb1Dz1Kd48dlHaPDu1xzwUR7s8kBGyPLsj1zzd5+w87n3tPLOu+jwxowI9IKoZPd6OIj1aVhI9FIb2PAkP4Dy/XuQ8s1oFPQ4DCz2kXAY9QcsGPXfZ9TwP1Og87fMLPcsHFj0LqhQ93R0RPS1TDj10ORU9RV8fPWO6Ij2fhiU90X8QPc0uAD0Fw/o87Sb1PNtAAD1lphI9feYlPfwHEj3UpgY9c2cVPUz+FD0KfBY9kW0dPfUNIz0mjiU9xVchPXqDGD0mbA09tq8aPQ4UJD1bTiA9QM4WPbjGDz1gzRc9C7wePVmsID2HJRw9ay8oPRZZMT3xDjM9Ako4PedyUj3wU0g9veE2PVBeMD20fyc9LV40PQwmNT30PDM9EdknPZILJT1RXjM9kOo+PdGFTj2xn1E9Tuw8PXOULz1QhTQ9mAMrPedPID2QxyM9LrwsPTHHMj2Q/TA93fstPVfTLD3ZiTI9y4MvPdcHJz0VGiI9NpMpPUvfPD1RZi49ErMcPYXXEz3Bnwk91NkPPY+kEz3VyRU9V1AwPekBMT3CIyY9NWIlPa0KLj30Zy89Q1YbPVf2Hz3nQiU9z7w0PVeeMz0j8BY9i+kKPXwtEz22TCg9SZI/PQyYPz2Xj0Q9ZsFMPSphOz0c1Bw9RkAVPcjKGj3ghB89WGMjPS2OLz243TY9inA5PXEKPj3Sdi49qR4rPZ7cJj2yKiE9Ih0lPRAfKz2zlzA9w+gnPbkeID0s3Sc9NEIgPWeLKT04qTE9GOh8PdtEgz3lR2w9K0NkPRbcdj3e9HU9+KN4PR8ggT1iqoo9KvSKPRTkiD0jbYU9W+mBPT1rgT1fnJY93KqfPc4qiz15Soo9pFeQPWyMgj2dDIQ9QqOPPX1ckT09U44992KGPbu4jj3ebYU9VsJtPR6cdj20gZE9lOuOPaDpiT1lQXc9dF2GPfBPjz1+QIM9W8l7Pb3Oez2U0n09aOyVPc5ykD0aNYs92d6NPcVDij2Z34c9brxzPYrKaz2ezWs9e+FdPUAlZj2vTW49OX1wPca9VD38DVU9gARhPdAYaj3gKHE9E8J7PfhJhD0uoIc90D95PdjoXz0A0HE98ZaDPeXLfj3lZIk90TOLPTDQez2Lqlg9TllIPWlHSj08ilc9UbhnPbxSez3nP4c9uq6NPQn7hj05I309cRqRPdcSoj3C3LE9Quu6PRSWrD3WsZY9v4GBPbt3dz25RIU9uiONPQmYlD0hgZA9bFqKPUkbfz1luXs9gliFPUVtiT3s/ZM9Ou2OPRfWlz11mY09X1aHPcyTkz1L3qI9eNOSPVVDjT2kMps9KECcPWrimD3OYq49hsSaPZPJnD2CxpY9TYeMPcXomz1VM549hy+RPVVHij38Fog90NqYPeeUmz1wSZ89StipPeIHrz3yV6I9jkKhPfJHnz1EqZo9YryhPTyMqT3gE7o9abKsPeG/oD3Kr5Q9PHeUPcNllj2rfaE9aEaiPWhfrj3HGLc9CP2pPVtBqT2w/Z89mcWfPX7Ihz2T3o49ueeVPbcwoj0Hl5c9MGWOPUn2jD1JZZU9S2GLPZ0plT0tmJ49jYqUPYS7kT2pRpw9ZlOmPVw8nT2qDos9xLSFPTe4mz3Bt6Y9D6aVPVmujT0OBKQ975CmPQKBqT2UUa09SbuxPerrpz0jhpQ9cmqTPa0olD3YPqY9gCmlPU+kmz2qvJY9J4eYPRRXnj2ch5o9jqWSPdDFhT1jBpE9dYGZPSwwqD2T3ac9VROtPRUItz0wMas94zeoPQ5aoT0tZJ89tVefPRKRpj03eaI9XpSqPeINnz3wnJs9PkeQPenjjj1c3Jg9oFGpPRmMpT2K2JY9u7GbPb+noD3jQaE9U+OrPW4y1D0auNM9R4/EPU+/qz2m/qA9eVOhPebrjz1DLYg9TPGLPWxMjj3yA5A94kuVPVislz3HWqI9hk6SPe8gkD3ZZZw9UheZPYpjkj0ZO4Q9J+N0PZwugz0nuZI9RHWVPUewjT2QqpQ9AwqmPWDVqj1EQaA91BKdPfQFlD1cuIw9DFSJPWw4ij157pE9IKCKPeWyhj1OI4k9KSKRPUzroT2LBpo9wuyPPSwMiT33hYk9rBWGPRtsij3E8pU9XKihPfzenj0Htp4902ycPdnjjj1IHIc9IuOTPSKSnT20z5g9jR6FPYPFdz2JD209RRWGPdwBnT2Hg6k9nR2lPft+nz3elYE9uqd4PfQfjz3Ej4s9yreAPe0xej3pY3U9hapsPf+EcT2HW4s9bB2XPaB6iT1cAZA9zx+cPeZklz28kpY9zguOPRHwiD2+GZE9YleXPWQwlT0yIoY9zzmXPXj1nz2Jv409LqWCPUnujD3VM5I9FcSZPc/BoD1DYZQ9TWqEPTZbfj0WRY09WiCQPTdUgj3V8nw9ooWCPWw7gD2Q4YU9tdeJPebuhz20UIU91EGGPUvNhD3nEHw9H4+NPazclD30NZg9H7yHPUCqjj3ieIc9DKWCPRc2dD1HamQ9GLI/PaY9LD0INB89SDIdPZyYMj1VvCY99VYhPQ+XIj0oMDU9uw5APSKnNz2NfiU9O+QEPfyABj3LLw09L+4SPakMDz1Z4xA9joEjPTfqIj0oDhs9ei4hPbr/Hj0z0Ro90SQVPaJOJD1KwRY9D2gSPQjlDT0l+/88bJrKPKI/0Dyz1ds8BfHRPFoVrDyyi6Q8pdCzPPFYrjzdwKA8R0qNPDQGjjwcSpQ8h9mgPMfbnTzA06k8rBa1PNByrDx8Ra08SVGyPHDitDxFZ8M8gljxPG8Vzjwbs7o8+UnGPJ4NwjyFS8w8PMDIPNVDyzzXCec87azhPLFf0jwaT+Q8NB3QPN4gwDzrWM08P5q3PHPjwjxG5cw8XgrLPP7g0TwEC788Mr/CPBgJ0TxziwQ9GLr/PBlO+zxrQPE8fRLwPOcB1jzrTMI8F57KPDXp0Tx7E9Q8JcLCPId+rTyCTLI8NHydPOdIkDw0WpM8IZGZPAe2ijzpM5E8VfWmPJb2szxhTMM8zhzVPB0lxTzrNbE8DxbGPHjxuzx3das8J6GzPPrbxjyVOto8G/jrPPdN5jwzIto8SrYIPaIABj0QaeA8L/nTPCV+zDxFEeE8bxP9PHTsAD3bM/U8kD3bPFtJyDx4RLs8QBqvPK7NtTw7+eI8OCXpPE2KgjwJ6IU8125wPGhFSjzwXVo8GfRAPRDXBT4+Ekc+hdVSPt2aPj69Bi0+6TokPjHbKD7aDSw+A2QhPogMIj4nAjI+lBYjPpQnKj7HzEA+lf4sPlsNGD743yY+wFQwPpKrPz6dQCo+XGQxPodSPz4n0BQ+QwQjPt5HGz7/DBE+q7cPPpo3Hj5YlzQ+OU0oPqrwHD6uxBw+MfgkPkYNMj7mEDo+zLRJPhRVNj56KTs+KMNWPrViYj7tP04+xiEoPk6HEj7CSzE+apQePoUVET5OU0Q+tfpVPrSwJj4MnRA+GxEFPkgRET4GyB8+XSQePlcSIj7VFx8+TvQZPhrUHz6Vrks+HnZYPoTmNz7nAz4+dVM9Pkr9Jj6Lzhk+A3oEPhhLHD5yHyU+seglPloEFz6WZY49nsXAPN9BZDxdzoU8VouPPPM5qzzxZsk8BeG8PAAVvTyxoco8vBbEPAWFsTz89LU8Jsi/PHafvDx+/s48aBDQPALO1TySseM8ZhzgPOvy1TyYV8083fLFPNNBzzxRxeY8aTD6PCOvBT24Jws9gN0QPaEQGD2p3B49C3YEPSiU4Dw7API8rSYGPY7cCT3HPAU9wOsHPXi8BT0kE/48AS8JPVZICT3AOAo90Q8WPXalKz3QcTE9m0sgPYkmFz30Gws9EqHzPL1X6zxwU+o88xwDPRdmID2lazA9IEYoPQQeHj3NmBw9UeMjPaO9Cz1rBgo9syUWPfcmFz1mhRo9pxwUPYA+Dj1kEwc9bYwXPSrzID2L9ho9qikmPbnvHT2Heho9kJMzPSCQOz29WC89kOc9Pac0OD10kjs96/45PbVVPj2LnyI9JpkRPVSAFT0NLCI9i2slPf0nMD1Mizg9mMYyPUzZJz2D+TU9y0RDPRzQTD1w+Tw9148qPaDuNj2/vDg9NTAfPTEnHD19Lxk9NCISPUR9FD00WSA9/EwvPdvyMT2Bh0497bY9PbSkLD05GRo9c0cNPe5cDz1pUxo9vagfPWjKID1Xpyk9y1YgPczZID0DCCY9bis7PYaWLz1EeSM93vQSPcJfET2iQhA9G2MJPa3yFz2hbyM9o8ItPYUWPj1yJzM9Je0kPf6kGD2cByU9rJM6PfpNOz26QEE9eBRFPdkkND3iCic9H2ERPcBcDT0PNwc9dZ4cPV5dKT0PGyU9WBMvPVFETj23mEg9iZMuPRinHj2z6hQ9reEXPaswLz0GoDs9Uz0zPeHdLj0rvhw9i6cPPW6kBT0cuwo9s8SHPUhcjD18eHk9+IlpPUjTez2b3oc9Q+WDPWGXhT2F1IU9rgCGPckaiT0haXU92LRcPY8qfT3td5g9vUqWPU94gT3PgYg9zVORPUdpmT3Uj6c9mkeqPSQelT0cGIc9sBaCPabgbj3kiHA9Nq99PV5Fij1LI4s9BQJsPUIacD3py4c97dufPVkOpD2ihpA99S2GPeBLfz0/uY09tmyXPZGFkT08SZY9WSKZPZI1fj34X2w9LkFsPVGkbz0Urmc9YGloPQYzej2oP3A9GXxvPb71bD2B9HE9FIdjPbkfYj2K4Gk930x6PWSHZD1hK1s9AolhPbNpcD0rqIQ9GMaRPU9gkz1wo3g9KYRrPakZWD3Vq009nrZOPR9YZD3BYnA9zrqAPchNiD2WkYg9l6yJPQAjgz2Q+YQ9j+iRPd19pz0Pzqg9SHSfPVHglT1umYs9axWDPRgKiz3Gppc9AQehPbKglj16Oo096auDPfz5gT2lO4c9XJWXPRRIoD2qfJc94BGXPdn3kD3wyJE95xyaPXbNjj3/y449uKCKPYbyjT31Y5g9vL2OPb7YhT0qvJM9Jg+APSgfhT1YvYw9QpCQPcq7jj1igIo9Lf6OPRt4lz3A7ZQ9ifmgPW07pT3OLJo9n+ubPUNZoD2dLI89K16VPaRAmj31B5M9a+imPaSonz2wBZE9exGLPbALmD0HWZQ9dNmzPceYtD0gdLk9nfiiPRU2kz0TwJI9KDSUPRXQkT0xxZc9Q/qPPcLKjT13ppo9KhuYPYNSoz3OdZM9ULaNPZhAhz0XHYw9Pm2XPeDfkT2TAJA9xUmRPedfmj2JP6s9Pt2tPbfMrz2rM5Y9zXiOPQHnkz1PgYY9XC6LPSYghD17i5U9uOKnPQ+zsD2AIag9GUuQPcbRiD1MqIo9uUaaPUcQmz3UmJs9rKaTPcC1nj1fAKY9WSyhPRSklj0z7Z89CHGiPfk/oT2ve5U9l+aePYS9pD0NwaU9oeO3PaVjvT0+gbQ9QHylPa3ynT3HHZc9Z1+ePYeJoj3WbKg90NChPQWprj35cKk9flSaPQU3nT2QZKY989qfPeMtqz1T96o9fOCyPX4RsT0uyq49f8i5PRSSwT3W7K49hp6jPXdZkz3g/ZQ9t/+SPcmiiT3Uoo09WpuKPXtCmT0DHqE9UIWnPXe4oD3DlaM9f+WXPROmmz0BU509GmaiPRiylD2jg5c9L5uZPdH+oT2rxqg9kZGsPcRvqj1ekKA96M2qPa+epT3X9pA9RWqGPSqDgj191YU9rOmFPTGggz0+R4o9pU+QPXmfjz27P4c9aXJ6PabBhj181os9Oyt+PWLsgz1FtY89ZvqPPZBTmz3cnZ49MnyqPf+fnj2oD489xNqKPdcykD32Apc9Ws+hPRMekz16oX0966N6PTlfij0DV4o9rECOPUkSkD2VXYg9xNGFPXqkbD1cvH49NHKWPZL1mD0nlo09cEWAPWG5gD3awn49jPKKPUf7kD3SCJs9zdGkPWqHoj1f4409VueKPYVyhz3NMYo9a9iMPR/JkT3lwK09qX2rPaefmT0ZAKI9QCigPf6Uhj27eXo9L5J5PdjojD2n6Yw9NPF9PTg4Yj3geWU959uBPbWulT3B2JA9202ZPcONjT2zFo09/ZGUPYDokz1RiIE9GiWAPTm5gz2ayIM9MPCBPXoUgD3h9Xg9d0eAPVxniD0KdY09lfGLPfmkkj3b2IE9M+JiPSbSVD2hnzw9tgssPV1hGj0UdRk9cyAePRwUHz0R+CQ9itkXPWu7Fz3gvRg9QRgVPVndDT251w09mqgXPeD2Dj0C3Q49BCwbPQekFT1pNg49QLEKPdIQEz0/bxU9PlUVPY4ZGz3Ophs9DQEePcEzFj05QxU9zuASPSMo9TwOFMQ8uF+sPEUIpTwXZac8zta0PNqbujx4XrU8guy5PIDMoDwq8JM8dkqIPKtckzxaKJ48nVmoPDd9pzyCJKk8FU2/PP50rzyLMLY8TxXFPH1bvTx3O8M8BSnPPEDt2TyEgNQ8OQrkPNxV6jwx8ss8BU/TPBosxzxt58089HnVPJ/T9TwV9ek8Bdb4PAM41Dxy7cg8n+y1PIdmrzw9e7U8dSbDPOm3yDw3NsM80JTJPCdC5DwsPvQ8AcIAPQ/OAD1Lh+I8XRTcPHWM3jzQ69U8VADcPPxTyzx1SbU8LLOyPMFbtTzt2sI8IvOyPIGgojzIyq88sXqhPAklijy6r5Y8uyOmPBCepDymjsM8oX/MPN0XvjwdccM82bCvPHPgnjyxXrc8MLnXPOQZ7zwGZAE9AZH7PHGJ8DxrrAY90jvwPFpa2Dw4mug8GnnlPKUg3zwvEwM9lAEMPYA2/zxKlfI8lxjPPCD6oTyG77s8+lMNPQGUGT2akIM95ZqHPf0ilDyLs1c8EFCHPMZsBD2xDJc96/4hPqEgQT4Gv0Q+o9Y3PrlpJT6jayY+ZXIqPv6dHj60rDE+o/pCPjYNMT6XhTY+9F4ePjWVGj6r+zA+LcgcPhrDJT5Drjw+aRlDPtrjIz5IZRk+INssPpcCIj5SWiM+iqY8PngDGj4JZxk+xJ8kPn89KT7twSo+nqArPurDHj56iyo+b+AvPiiULz5v1zA+dxkuPtrFHj68Yy0+Lt4tPnA3Mj6knBU+xeDCPaLHbz3gX1A9ISemPaKoAj7TiwI/YE4FP8z5Ij7gaFk9tC5sPaDmwz3Gdwo+cqAJPv67Nj6o11Y+OHZKPq61LT63ljQ+bygWPr63ID7xkA8++BYOPtE4CD6VI3A9iLOhPH9iyzzcMSY9QYNqPQcjLT3BSKY8XQ2VPGDlozzVv6s8LAuqPFisuDxZ5cA8lxLIPH9wzDzfOds8o/fEPMOaujwXpLY8tve6POXhvzybzM88P9rqPLP54DyYuc08zRbFPIymyDxIxM08zzXMPCdjzzw0rOg8ObrwPDHO9DzURQ491UknPZ4HKT3oWxo9rMP6PIra3Dy6TPk8RtUFPShK8zxcZ+A8E7rsPC9+9TxbKAk9FeMhPdPgDz3q8RU9qfAfPSgXIj2mORw9Zs0cPdNCDz2XlPg8i7r7PDsvAT1amAY9jGgcPac6Hz34CxQ9UOIVPW8ZIj3hwic9ccEhPeyrFj0VYBU9L1wePRenGD3IlhQ9U6IiPdzWJD1A+RY9GZwOPTGyED2QgRk9vBktPXxyLz1+Q0U9Vz5BPYb4Oz1Z+zA9/FsrPah9HD2HtiI9tmMuPfX4Iz0uHyU9jm8lPeTXFD0jrBo9ZD8nPbOAHT1N0Sg9T8s1PXCWLj1fADA99TQUPRYUDj0GsBQ9n6MiPVGtOj3FxVM9m31FPacvIj3irxA9NccMPeJoET1I0Qg9xN0ZPStrQz3A8jI9Ip4cPS/NET0Fgg89r4cPPTJAET2Ozg890mIoPZywMD1nvjc92O42Peo9Qz2uLzc9G40aPXQxFj0LMSM90GwbPT6ZDT1CPA49OkYUPbHpLj2xiig9ZCAzPYLXRz0WAzU9tTY6PTbqNz39iCU9UaoxPbjAMT1ujSo9o0UmPYwDIT3xIBw9AnEcPcxuET0Qlxo98nQkPUM8Lj3rRTU9qtUuPevlLT1gUjw9HeU6PQyvJj2Nnh89hDwyPaI9Jj0Ahg09pEQdPcN/Kj1MfiA95YIZPeqABD1ZQQQ9Hgt/PeFrdj1xYX09t9aAPR3thz0urYs9uFyFPUdEgz2+eIM9Np+BPapDhD3bt3Y9tspvPetzbz1Un3E9MNKDPegNfj0uY4s9qJmoPb5Hmj0cao09izeHPRBJhT1F2XY9MQBrPfKpZD0W9mk9J7F1PVHpgz0tqoA9WAB3PZDKgT1oQJE9E4iOPT9Zej0lvXw9a3eMPX9Ljj07A549yqmfPZTHkD3iLYs9LbpwPZAhXz3/w1o9JhhuPcebhj0NcIg9QJGEPc1Gbj1/0E89UOFYPb5Hdz2kcX49qYF/PbOacD1OkG49h+FgPaOtXj3e0209gex9PfFcez0Bgpk9WpuRPQTXbD0Jv0c9RuhFPUGnVz01W2c9El1uPZQ/fz3JLYo9aVWHPYTwhD1AyIU9yl+HPW+liD1oH4c98ACFPZnLij2YbpI9glSKPUDThz0T6I89/K+MPe1rjj0d+ok9sYqDPdlvhT1eZ4Q9/hSOPTbCmj1woKA9qaGrPfrHoD0LGqY9HYGhPSk0lD25YpY9wzaJPUx/hD2T4YU9L6CNPc+chD3Mn3g9m5iHPRe1kj0TjIw9VTeVPbKeiD2aJ4I9jKOZPd3glj0xkps91ZGiPSCDoT3PEJc9QWqRPbxGlT2ae5E96IiXPYxKiD3IaX89WiJyPU/bgz2tcY09MH+UPR6jhz2kz3w9/R6NPWKYmD3u05k9Q2aePUuArz3IxLw9NI6oPWhFoT1J6oU9SFaUPTR9mT18U489m8yMPWwflD2GS6I9VbSjPfJ7lT03DqE90fyUPYYwhz2V9oY9yluQPVUMpD0SN509ONSXPVcRoz1q7LQ9oj61PeFtsD1vpZs9dBqIPSf9hj3z8YY91aeIPQEFjz23fqM9YfKvPVP1sD3UV6I9916aPfZiiz0egaE9mx6tPRv+qj2sorY95zCVPSMNlz3GIaQ9QX2qPZhpqT0H7Kg9PlCpPbjDpD0M5qc9vme3PbbSsz2CfLw9Vne1PRQYnj2rdY092ACRPXO1kD1Uf4Y942mUPeRfqT0F06E9HtGiPWAIqT0AEaQ9NeejPaRBrT3/R7c9izqnPUTzrT0wdqw9h1SuPUjgqj3soLI98JeePUGamT17ypg9GpCRPXrahz0yNZE9HUORPUVLlT2u0Js90QWoPfHypz2lrKQ9iMenPWDRlz138JM9YXOPPdPykT0CyJk9hK2WPZ9SmT3Lepo931+YPe5plj1QUaA9uIWfPSFsqT1sm5g9YXaHPSNoiD1MbYo9MEmSPfhzlT2u2YY9i/WVPbQakD0okI89SUKMPaPIiz1LcpE9Ix2QPfxCjj14WI89gHZ9PU//eD0hE389cR2QPQBumj3eqac9gTWhPdtEhj0qCHs9dhKCPW7okT0StJQ9ybGePaXilj19PZM9c9+IPZ4Hfj2dWoY9w1WUPRgsiD2o/XQ9MAxkPQdPbz2LUHg9p3V/PTPncz2FKF89wQJ3PVKFij3DnJE9PgmTPfj0kD2dyI49JDaVPeXnlz2F3qY9bo2gPeyolz2FR5E9x1yVPY87pT06ta09qyuoPabSnD0XtZE9rQaIPZx6gD1lOYM90iCBPU0khD2Af4I9FaWAPWKScj1mYH89JUCNPTUtmz2yb5k93jWOPfP9pT36x6w9S8idPfcpiT2yLYU9MhSHPXOChz21FYI9nt17PWhWfD3udG49vyRkPfqWej3nOoQ90/6OPcMQiT2iSnI9bWRmPX9/Sz2lzCM9wVAUPfd3IT0TzRE96HYVPSM5IT0WUSs9XiEuPQ+UKT0btBM9h0oQPf5EDT2NeSM9iIAhPU8PGT3NQx89lAsPPRxOBj3c8w09MvYGPeglDz2djxo9zycnPazJVD3GJUM96qMCPQly4TwrXOE87OfpPJmpuzzP47882pbbPLNNyzwc78M8BqLHPDKyyTyvNKU8An6MPGFQnjydT6o8ZhujPO6lmDzAJqE8PoacPE9XnzxoyY88mOClPHcTtjz1dsM8txzMPL4V1zyjo9k8In3jPFsV3Tx2/dI8wSztPN7o3TywnNY8Ic7WPM6gyjzCEOE8kbYCPc09BD0iN+o8JyzvPFE1/TwrHOY8lL3GPEqgwzxmWMw8iY7YPA662DxJWN88VBXjPGDE7TyfbfQ8TdYGPR9V2jxqBc48Y0vOPC/72DyvOdM81xzRPDup+TyjKuo8nfXsPGPN2zz3+b48H+a5PJTr0Dza4L08P/2fPAOIljw6p6A8i36pPDKEsTzm9rs8CNLFPEKcsTyGaak8gbi3PKGfyTz9Fug8W/LjPGfB7zyxRwY9Ii7jPNVP1jzGKdk8g4LhPLST6zzkmfA8W0oDPVyHBz3WLwE9sRL9PEdh6TyHeMA8VGmvPCjysjzr5Bs9HD54PfQNhD3Wd5890NSWPToHrT104ro9hGcAPn92ND5H4DQ++OVCPo8eQD6n9i4+hoAhPl6uGz4uUjA+1vwxPo08Ej4FrzM+Dx43PoJYJD6sjSk+Gao0Ps4LLT6trBg+LxgrPh/RMT7BZDw+oqMrPoPDLz5FBSY+HngnPmNNGz6iPxo+1jIkPqZFJD4/ABY+a54bPpCOIT539io+lr0oPvMVHj7k1v09a3wCPk3cEj6+iCg+VcA1PqzxKz6VxCw+TX07Pl04MT68yNA9D8EKPfn8UTwMdkI833pQPKegZjwalck8sx20PHo1lDx+H4c8hkaMPI1IEj2DXEo94lVTPVeCIT5f6Zo+PvKFPjylcT561Dw+XRgDPiBwAT5asWU9vp88PTgSJj1FB7I8Yha1PFHksDz7XLQ8n7WsPG7BqTwC9qo8GOulPG+3oTxdIZM8R4OfPL1rrzwssa88y129PPLgwjzuhMM8Z5nQPPHC4TxjT+480F7rPP+71TyCEdg8e5fePGgF0TxHutE8x9jVPJtWyzwDtNk8eYXwPC3c8TzOaPg8DEkFPUzGDj0p2hE9lKQjPXNRHD0mWxs9g0QBPVH42jz60NQ8prLaPGlV7TyiQOE8pJ/jPGtM+DyIIAU93I8KPUzQAT0LTAM98uQGPaAYFT1LECI9VXIaPaWL+Dy1gPw8nlUUPe/QHD0PICg9L7MmPeC1Hj3+jBA9Ph0XPRPUDj0jMxk9Cl8XPcUIDz2wbxE9qO8ZPQyFIz0j5Bc97hAWPUfBIT2jcyc97yMiPdP8Hj39FR09yNAuPYvxLD3tKCo9qK4tPcFdKT1nWCo9IMciPY9ZGz0BhRM9imYbPfW8GT0j3zM9UoAuPXO5FT0/OBE9kY0PPTDmDz3RRhs9i4QnPXphLD27zSE9F6IXPbwEHD2XSi49NcQ/PQYUOz32ZT49hUpDPeG7Kz2iFxs94k0WPUXhFD1CZBA9cUYKPc8EBj0ZeQs9FSkWPcC+Hz315iE9eY4VPQgMGz0kMDE90s9WPer5UD3rDjc9/kosPd2JLD0w/CQ9nU0fPe0BIz1lNR89Lx4ZPbydGD3P8yQ9Y20uPZTuQD2H9Tg9gRgkPc2UHz3AVSQ9p7kyPXOaPz3OTD09h1IuPbPEIj3tXTI92EEvPZtGHz3mxh89m48ZPcn1FD04RRo9FDImPaWyIz0Zhi49vIchPUyyIj31oS89yIUwPZJVHz1EFQU9FlkDPYobCz3lBAI9HjUIPWk+JT3EGCM9M5sOPaOOAj2huvk8HZZ7PWhBgz3Bcok9sOSYPa0fiD20lIc9TsKBPTYIcz0bmX891HKCPaWtaD0Fm3Q9ZHmAPdh/iD0i0Y09aKuYPTNTlz0+DJc9THuUPakagT3UPl89Otp0Pfs1gj2g8YY9hFB2PYC9dT2d02099yaDPfJBhz3Gc4E9RH5/PYunbT25JWo9ahRpPZVsfT1vGoQ9KE6NPYTplj2ziqI9h2mMPZwGhD0zOnc9exBmPYnfXz0KIVU9GHV+PadQij3325Q9GYlqPadWQT0Gq0A9Ok5cPbKvdj3j+389g+ZmPXU4YT2y2nk9L456PSrBgD2aoX09oOaaPQZilD0dw4I9LGqBPUP+Xj2o7V49PJtbPShvZD00JXQ9NY2APYqlfz0Gx4U9txB7PVxKZj3S1m09lD93PZTHfj3H1YA91fWAPZGxdT20Mns9GVOAPcaPdD3SZXQ9sF1tPfCpeT33mow9b4mSPU8GnT218ZI9nJWQPbTEjD0YtZQ9DCiUPXfNnT1FlqE9aOCGPXnbfj31qos9TJaMPfjSiT0nU4M9KuGMPU99fz14n3M98n2CPUV/iD1vB4k9rTSOPeNZkT08gJM9+GebPZs3mj2wQ589g1KYPU4VqD2+mJw9jh6SPd9ymj1nvpY9OamRPQUboj1zU5w90NiYPU4AlD2yR489cJGNPSJdhz2qk4Q9PdCVPasepz1REKA9CYupPTLppz2nwZs9p6WUPTtwiD3yLIU9unKdPVa5rj3UWKE9Or2dPUQlqj20fLQ9yUquPR9/oT04yZw9RrmPPZpefz3EbY49YK+YPVt8qD3SwKI9YQ6lPaPvrT3V2Js9pBirPVmAvD31E7w9h/SfPXMYlj0zFZc9PsOKPf4llz2GTKc94oesPfu3pD3TLqI950aYPfG4mz3jt6A9ahqjPVbcmD2kt509q8KUPRgumD3y0aM9M1SpPSajrT00Z689lVGoPf7goz3g4p09zKmoPRxAoj21sJg9xnaOPSvqjD1Y84o91RagPf0vqT3kaJ09PFOsPQbouT2lArQ9riKpPVKBoD0pAaE9yzipPYuLnz1M5LA9mpysPWzYpz0a4Z49BsedPUodmz3kYpY9iDqePebDqT2ISLE9rrehPV+loD1vnKU9+bmoPWploD2MSJI9F1+UPY05hz2oWpQ95BWUPUHLnD2HEJg9ymuFPcsMhD14+HQ9JduCPfMAij3xqY09wjyOPZu4jz3Dro897cCTPYmHmz3L0o89f2GDPX4+iD3DUIs9SFF+PddThT2dw4M9lFmPPQSCgj2dQn89jbaUPZvvjz10JpU9u+GHPfDagT1PII09e82RParPhz3vM349bPKBPSbMjz3Gd4k9tm12PfhhbD3LT2I9irpyPdDrgD0fxo09vYKKPdmTiD2/6ow9e32ePRKzmj1ruo49CayOPcVWhz2CS4k9vT+KPa/0gD1eeoc9OFl8Pd59cT3Z9XU9GKyCPZWKej0vZ4s9ZEKOPdpMkz3RG5I9ZLegPSr6qj3jGaI9Lu2fPanJlT2eSYs9JE+aPbwDqD2I+JU9uxSUPTMNhj0PYoQ9PViAPchjej11DnQ9Vp19PZYFgz3h14U9AKiIPTp/hz0NYow9E4KFPbajgT2rWoU9ukiDPUlOjj13ZYo9xwSHPebDiD3T8Is9K3KCPZbwgD3UlHs9UouBPZDrYz3gKFU9sRtbPfe9aD0wv3I9sGp3PdVmdj2+O3M90KJMPTDXMD0RaSQ9+rwhPZkmLT3ATSY9FEYiPcGlMT2f0EE9AcQ1Pf63ID1xAhg9yJkKPSmxCz3Uvwo9TFYePXQAHj11EBU91qsRPYUzEz2MDy8983MwPRtGID2Jvhg9V8whPVJ9ET2rUwU9shPNPAVNxDzIYb485YeqPCIaqDwXHbs8PhjYPD5vxjzxQL88JHy3PCtztDzIcqY858OhPAySoDxA8LY8tvuxPDrrojw9tps8SBqlPMu2lzzBxJU8UdqxPBEUzjxZAbw8WIuvPPajsjxittE8Yv8APbit7TxzM908nXngPIUeyzyAUPU8Noj7POHyxDwF6NY85kj/PNmCAD35GgA9po35PIBn+TxaovA8X47jPI6+2TzXfeA8YoLpPM/2AD2tBuw8XBjzPIJyBj3wLAU9Snz3PDrIzzyplM080h/fPO31xDzez9c8xYTSPPYj5Dz+MeY8pgcGPQ9wBD0KPdg81DXEPO61wjyOd648y3ekPO0Stzw7P7o8GizRPEhHujxLm6U8LOmtPG8hvTzaS688F1ixPIsG0Dz72N485cTWPNEv1jzo3tI8QNrVPKFv4Dxftf0863gGPRsE+Dytkuk8epP1PEsY9zzIWfg8PSXyPLDK2zwvb8g80o/JPEj/vzw4T9Y8eTbqPCN1FT2npXo9BYr/PWfLcj6blFk+5RczPrstLj6IhR0+wq0kPvkXGz6X+Bg+4F0lPpkhKT4oSSc+SeIjPmj2MT4xTzQ+rbApPuEsJT618So+IVsnPtO4JT5HtRw+n8ozPq1PMz4GAEc+NlIjPqMgJT5/mkE+xT8fPnjBGj76TyM+X/koPorlGz4xQSA+nGQsPk/NLj4g7Sw+OyskPrY9GT77KhI+bdYRPo0NEz7rEyo+tUE6PsIKGj4PDw8+VAUhPmWlwT03vGk8pnR0PG6gejzcSFg8HoRZPElgcDzyCns8akaBPNVWdjwk/oY86A+KPGHxjDwNjc88TnrfPG4R1jz4Awg9H09aPbJKvD0/KB09wQ3sPIFd4zzgeqU8gt6xPBEpvjxb1b48gMi/PHkMuDxB0LQ826zJPGglxTzRQ7Y82XTAPCOAzTw2c7c8VNa3PJPtqzzP3ak8iFK5PCJs0jyUOd48McXcPP1G5Tz3fvo8hxv+PKRL6zyZzPI8EOXqPBcB4Dyge+g8dxvvPLW+7jysl+A8UvPmPPHMAT0AXQU9HpsGPSwsCz0KJA49RMcVPScTAz2HZfs8sF3hPIAX5jym3+48vu/yPI9jBz02EBI9h8AXPdDFFD27dwM99JH0PCDC9Dwm3Pw8238CPUnPCD3FbxU9qyUcPdUUDD15zAQ92tcKPYbuHT36GDg9MjA7PUmiFj2P9wM9eC75PO9M8Txg2P081t0CPY8oET3keRQ9D1QSPRAAEj0JlQ89jf8XPdHRMz0CwCo9foUhPbTwIz1YACE9VhUjPS9GHD115Ro9TagaPR+EET1C5Bc9XXcPPYTyDD0PkBg9XVEcPe3DJT2rni491UUaPVolHT1oFjA9374zPaayND0DbiY9UYwjPdDlCj3TwQ8924oaPTa5Hz1wTyc9YIc+PSZaTj22xjg9UKggPeOuFz1yWhs9rmETPV3BGD3XJw49olYLPY2n/TyIyf88digiPWRCPj1+80I9GQIoPWaqIT2Y5Ck95fwwPZrwJj1DeRw9p7gXPc+SFD3Rxxg9AqkqPbGBLj1w7yM9f4QmPQk1Jj17bTc9diQtPb1DJj2VkR89RMwiPUFhKT0XUjM9dH02PXakOz3hT0I9dLA7PeYKRD2bRlg9eZo4PSqgJj1QPiE9PswgPbrSJz0FvR09IJ8lPTjcKD1vyyM9MkcoPYrbmz3LXGk+MQrFPRD6Fz3z6BA9EwURPQgmCD1INu88yQ/8PLHXGj1KpCg9cUcQPTAgBT2AKwg9dyt9PRp1eT2oEos9KPKEPcZ7hT1hpYA9V0SIPY4Phj2CIXo9ysBxPamLgT0a2IE9Lg2HPZI5kD2174o9OZKOPcN+hD2lCoE9GzeCPQkgcD2A14c9CbmLPejrjz3BIpg94o2MPff3gj1TkYw98O2OPYkSez0m0XE9G/RvPQ9YgD0C0oI974t7PVhqeT3LTY49MJ2KPaOCkz3vKIM9Ki9mPUb/bT30Bnw9cIVwPRYdaT0TtoQ9YoKIPTPDhT24T4U9LmppPQ0HYD1ZN2Q9hK5vPVaFbz29Sm49D/dhPbrwaT1xKIU93RWNPTgDij2ixIg9fiWTPaDjbT2lQks9SMlTPf5fUj0GsVA9WZlyPUzhdz1v/XI9QMtdPe/IaT3Lq3c9YaBtPQl/XD3YXoU9UHiQPcbhlD3LDZQ9OE2WPaqFiz0aTII97Dt2PWCsXT2renc91KKOPfeXjz0dno89ceaIPXxoiz3H3og9AvWHPeupgT2wqYo9X86WPXeskz2NpJ09epmcPU5ckT16Bo09u/+OPfBemD0b+JY9ftWOPX00iD11e4E9gl+DPe1/jD1jlIs9KLCSPeq+jz1atZU9NyeYPWpJnz0/+Kc9RrOOPbiXjj3235c9tiOdPQv6lT2XxZc9R5WTPS7kkj3GbZk9b2KbPYEemz2CP4Y9W8uRPW4Gnj3T0po9p3qXPdO8qz2fOqU99d+NPeSwmj24B5M9dJ+LPUnIiD2sbo89KSKVPQxdlT2QfIM97jWMPXmFmD3aZpM9hgehPRHbnz2SvJ89nVqdPd7ImT0bzI89J0ORPRG1pz0+Y7E9bKCtPRCPqz2UY7g97yOwPSIxrj2yS6g94Y2UPYERlz2BspI9OxSPPbKdiz2u04s989CLPa+uiT1tS489ZYKQPeDzmz1h3pY90PiZPUh1lj1knKo94W2pPY9coD0HH6c9giSpPSW3pz34yqU92U6jPW16nT0174w9PtCQPXE7nT3os5w9T9WfPRWdoz1Hi549Y8SqPbB1rD0TZKs9Hcy4PQnbxT2FY7w9wHSrPUxnoj00k7E9mJCzPapcqD0UeZw9YSWRPYnrlD1I4o099HGaPTBdnz3oKqg9iP+dPSO/qz1x47k9aNezPdRbrj3BOac93S6hPaHbkj2rEoM9fFCFPbRDkj3Er5Y9srmdPRlFoz3MnIg9CP98PXBYaz3P+IQ9KvCPPVGIhT1HzIA9gdGHPXb3gz13yI0908icPcImlD09bJk9zNSIPTMaXD2g2mw9rY+NPRdkij2nfYE9v8h9Pc5imT06zo49gpmGPVfqkz21voc96pSBPaZzbz0HJ349beKHPRIJfD0SR289Gwd5PQOvbT1F+l49XR5iPUvoWT0bVGU9qNV4PaGxhz2e9Io9vd+NPfPQgz0Ktoo9Ts6XPddQlj0mCZY9DkqNPdyAiz3hAYI9SNZ9PdNddj39jm89W2R0PaOneD1jx4I9+TiBPXmSgT27DoU9BUqIPd3jlz3J/ZM98S2SPbi4ij2D5JE9kviJPeuvhj2Z74w9MAuUPcoTkT1R8oo9ki+MPe9ljz3Ax5I94HGMPRRVlD2RfJI9j96HPQyBij1MYpA9wpmPPfkLhz3YToI9LWCHPYV+iz2uKH89TOB6PVoOfD0Yh209vCF5Pfxdhz2MbI09z1mFPQbpjz1fXoY9+QF8PeqjWT1ySF09KfhwPb22fT2FbII93XeAPWQKaz1pIUs9TSIhPfXZHD0Lxxw9uq0hPcMsJD3swTk9t8RHPR4oPz1hIi09geYbPX1oET3Prxo9AfEkPfnTHz37bBg9FdANPX+TCT2stRE9NBsiPSXKIT2+FB890nIlPfD1Fz2d2A49BI7yPK3t2Dz8ReI8Wm3TPBBCuTwrp7Y8Nc+xPEXgwDye9Lo8I46mPKDZpzwZLKk84N6hPLmwnDzjzJ482sajPF1DmjwSm6g8WdqnPN93qjy056E8OlGfPNX6qTyvYrc8fLm9PAbAuDxmTr48nnzdPGEN9DyCSPA8SAX4PNEq7zwa1Ps8z0/7PCxs1zw4c9s8fRDfPO482DzmqvQ8qxYAPZb29Tw+iAk9MakAPZfl7Tzo+ew8nQQHPYSVBj3S0d08obTqPLIy5jzGW+c85kvWPCYpzTzW8ts8lgHXPOjnzjzbxcc8D+LTPOd10TwpBeg883/NPLCLyDxnWeY8tf8CPTDz9zxSWtM8uY/IPHtcuzy4nKY8FGi6PCTtzTzuy8Y8Ya+wPMF0nzwst6Y85hOvPPs9yzw0trs8YO3CPCzGyTz5F+E8ltTuPK4Q5zwCoPE8Yb7lPLpC8DyAHgE9/HMEPfmdBT0wUfk8lFn4PFNV3DwVmwA9jHYAPVOP3zyilOA8vfPhPDj50jyQK8A8sXvVPKZdmz13Gjs+6BpEPlrSLz5suTI+BbU4Pk6NNz7ssic+vfooPjCDJj7K3R4+DiglPtFnFj6IwRY+vZE4PpXpMT6FhBw+/MA0PtX7Pz7eyyo+KOEtPoZVGD7nohw+nYQoPgcdID4/CSw+BFAtPpt4Jj6EgSk+++gfPjU3DD4Tjgo+9JASPntXFj7lIi8+Yfk+PjpdJD52Mw8++bkMPmY0CD4cYA4+3ywMPod4Cz7fIAo+9KEMPqTJEz7ycw4+pXrSPe4lLD1uEfg86Qn+PMj0CD0xqy49cF0ePVyJHD1/SyQ9YaQNPVrk9jyEUe48DoLtPGjISz06SA0+yRwNPpXS/j1oH7491euaPIS5UDyJQpk8ecaxPDbCvTxZC8A8Ik+8PALIqDy6Ras8v9q3PBLevjzSark8jAW5PBkTtzzLB7Y8MAnOPLb03Tw9huI884rLPPk4uTwDx7c8HzzBPMqeyjxMhNA859HMPKr+yzz3UtM8qp7IPAClzzwiwvE8h7IFPS+RAj2wtu88BjXwPGNA/zxImQA9v1v6PBPAAT1cJAs9bCAXPaOdFj3lTg49Fv0IPQxG9jw1x/E8aB/3PH+z/zxd0QI9egIGPauHGz3N4C89lPw5PWDzIT2o8QY9Cj0BPdOYDT028Qs9LqsHPYapGj0FPiI9AREQPfUxBj0NPhM9N48ePVARID0Afh09akYRPQBiCz1oQAk9upwPPUacCT0t6g494QsRPVShDz3AIBU9KUcPPXrbDT1XcRM9rWIfPQtnLD08GyI9p2oWPXWvGD0TDRQ9dR4NPYHpDz1afQ09hK0JPYprDT0uWQs957AdPXyCKD2IrRg9qQYZPZHJIj0JmyU9mfIYPVnFMT0Qf0M97ao2PbkzKT16VSk9vYkxPcW8Jj34PR092UwaPeArEz1kRBc9MrovPT6KOz15vSI9UKEVPZihGD2w8ig9RCMUPSNgEj0n7yU9Q/wuPZNUEz35egk9o+EYPX7HPD0d7kM9Qus9PSb0ID1vpBw9xgYcPSHnID1kyh89W58YPSiDDj3MHxU9fMogPYVMLT1XaSs9nzYhPWXSHz0JUSo9wBI4PWb2Mz1wdjc9d6JBPYdmQz2nUTk9xaA2PSHATD0DOVc9mYFWPUhURz1E9kk9Ggw8PUfsJT15PSI9YKQaPUAHIz0p3h49WdwiPVEOEz2KRBg9qpkrPZ/4yD7iu/Q+CMnmPfLxHj2AAxo9W4AVPcZuDz1JfQw9t/gKPeZ5BD2y/vw8ywPdPLMP8TyXuwU9rl2BPcGIhz36Iow9rVOAPXIygj06P4I9xNd+PZVdbj3g1Xk9QR6CPbl9bT0cRIQ9ciyLPf2UgT28VmQ9MAVzPVDOcz0Ldm49za5sPWKkhT2QsYY9NAKMPV1Ciz13mo49BD6LPRmoiz1akIY9vG6CPdVriT2nQIc9ps2CPYwgej2dgGQ9DuBrPVsbgj3aoXc9edNtPdCtez1IyYk9EpN9PV3Dgz3FG409V3aQPRDmhj2/9YI9hippPS0fXj3aEYM9G/OBPY+edj2n/Gw9a9BwPZW7cD1cBmw96PlpPTvyZT1jqXs9PiKKPbtSgj3+NX89AKuAPaS0Xz2vIks9PptdPYAGaz0+KHM9fqKDPervYj231Fs9Dyt1PaJngj3vSmg90QpkPUVtcT3lr4E9tDiNPbdtkz3Et5U9n62JPV/rij3vhn09w8KBPeTegT2YXXU98f93PTDacT2EV4I9xjh/PXrBZz3lT3w9+uSBPQEQjT26NY09Z5eOPQC2lD0too89nXuJPWbdjz3zgp497FerPcNnqj3Dfpg9maOAPbeGiD05XoM97kqBPdkGiz0ZjI49nkOSPQomlT0L8JI9XWiZPag1lT0Up449L36HPbhalj2ABaE9hbWjPWkFoz19W5s9W9GLPX3RiT2IJ5c9nNiQPRKXiT37GI89cUCYPSPCqD0UTJc9IXKJPXFvjD0VGJY9As+RPWzcoD0rcps9wpB6PUUJjj2MZ5g9h9WOPTntij0lsZA9xb2WPSTcoj0YPbE9ebGjPeiMij0mX449AbimPUznoT1rnqA9TQShPYFWrj1AyrE9qPCpPV/ImT1wNZ49pQenPdgOqj1/HJk9xcKRPVwkkT2884s9Y1OIPT8EgD1YQmI9s/ZePQKaeD18uYI9sSeHPWrkeT2CI4M91gyWPdiGlz35eaA9oq2kPWJlmD1TZaQ9p4ypPbHPoz2TFIk99jePPerDmj3BjJg9IemWPQTvlz2uxrA90bq0PR5srz0Qo6o9jF6hPeUwpT0ROrU9LuvEPVisvz0fHrE9kPCiPbIsjj3GgZM9gEGhPbrMoD0AXqE9PkaZPe5Jlj3SupY9jNqYPfo4lT3imKI9hsuiPf1mnj1476A95RKmPSyTpz1mZKA9QNONPT3slj3jVKM9hROaPctikT3ggJE9HZSRPaEvfj3J3mM9OSlsPZo5gz1fp4U964uEPeZhjD0y8Y09jL+CPerUlD3+B6w9XjWcPSEmgD0ZMnE9XVBrPdgcYT1EcXA9ifGMPf1WhT0eVoQ9qDWMPf/xkD27u3w9Kl2DPSVThT0ARIE9eZ13PVGTgj3xkoU905OAPVazcD2B5Fc9rHtkPVIdYj38FWk9iF1pPYzaVz2pLl4971F9PZVbjT2NXYc9X6WHPVAThD1QB4Y9RP6MPSrUfj0yK3g9T2F9Pc42hj2W8H0996Z5PU2jhT0PHYU989aAPcOsiz0TlZA9RECLPa6ahz2aEYg9UcuDPUo6iT0ANo09sZKPPfJtgD2yTIc9EEKRPet2mj3LCZY9hSyQPXS4kT15xo49Cz6nPXumlz1HaI49jm2OPbirkT3dSYE9VeiJPcdKpT2C3p49HfSDPSd+gT3Oy349+cRvPXihdj02CoU9XV+DParrhT2qyYE9qvB4PXVAfD1EH4A9e8F+Pflpdz1TnGY9dxxaPaN5VD34sVc91jR2PcqNiD0iPYM9m318PWHpYz0HSTk9rGAbPVdzHD2gcSk9NV03PTn8Mj3zeD49vCZAPdEfKj0P5BY9tygNPXSpBj3YEAc96EgJPS39ET0rrRg9aiAhPSdyEz2M8SA92HMrPYNyLj2NfS49bEggPcXlEj2lbAk90IMJPWb+Bz29CN88SrnOPB/dvDxBGLM8aziePOq9rTylhbY8Nd2hPCGKmjxNwMs8E6CxPN8UnzzxhbI8Me6rPLT9qzyetKc8SzOsPILlmzxZIqQ826moPHl6rTxT8Ls8rOXCPOTW0zzDhdo8mZHmPBs18zyvwvA8XtjrPDEo7TzCtfU8TSTrPIV68zwIA9w8Og7hPCFN8zxaPQU9GxMEPeSPAD1RcwI9sLUDPdMtCT2upww93L74PGrW/TzdZuU8QQDEPFPr2DzHFdE8ApHXPPGl3jwK5tE8uWLXPDuk3TyJ4tM8Wn3/PICr9jyOp+M806zUPH+22zz/keQ8TtTzPK/c7Txbc8o8oTWtPKjrvDwNXb48VnbNPCJvvDyaAbo8xbWvPC9Bojyf+bY8K07APMkzsDw1Rcc8rf/xPH236DyJMuE8zh3QPMISvzwxYMY8asfdPPHh7jwCOQE9OND7PA629jxmUfc8G7j4PPCl7TwZo+I8nlrQPIaWwzyzzdE8bNkEPcRf7Dw1p748v4X5PJPOpz3HwjQ+7mdXPkqOLD7ZQzI+HUQdPjuQIj4vdCg+bkgyPuNjLj5a/CA+7+kmPuclHT4IMhI+sTwNPhuTJD6Jqyk+Er0gPlXtJz7ZXi0+UEkxPqRrGT6L3CE+AjgwPs1AJT7shyM+/UYmPqvVFj4tghk+dFIVPvznHz4xzgQ+RhMYPkKaKz5p6Tc+DFYdPuSAFT6MchQ+n7gWPpTJGj7S7xY+pM0TPqovIj4TjRM+EUwIPlwq7T0wpK09e7abPaOGxjzloHE8drZ8PGMiYzyCDWY83Y1tPNl8gDy/XI88rZ+PPLDnoDzvntQ8/doEPcMtYz0CTSE+tbJIPkBFEj7ypVQ9RcLePApTrDwqZbI8YabBPI0PwTxuPbQ8iLitPAOGpTzCDJU8kI+YPChooTw0Sqo8A2SmPOnqrDwOa7k8YAK/PE2jyjz9Y9U89rnPPJhFsjzuAaA8pJymPHSSpjx1abE8WBrKPOfi2Dzus9M8IGHOPNDJ7Tzn7/c88vj9PPIO/zznhAE9DMj+PBu6BT14GgM92BICPcJNCD1xdgc9/UwKPXtXET0/9CI9UXMJPf+a3zxLHdo8aULfPAJI9Dw6KAc9IXIJPXtFFT1MCCI9Zq0lPSDYEj0QgCA9X8EkPWvQGj2ZXhQ9ansbPfW4Ij0R1Ro9gacbPcDhKD3sqCo91GoRPW6V+zwW4/Y8F9cKPc6eGz3BNiQ99XIiPcyoFj1oLBc9F9sePcbcFj2oIhw9Fp0aPXyCHD1h+hU9X8cYPVt0FT0DgAk9czcSPS4TGz02DBc9e+wWPWCAHT3MPxw9LtcfPbQnIz3gpCU9bW4jPdDxID3DsRk9PcYRPUidGj1zrRs9rGQcPfbKNT2AWSs9kXQePWsJKT1FnDw934VOPbZfLz3ccic9dOwYPQ2DDT2tEBY9Ej0gPRizGD1msiU91IwiPc3IIj1Mfyc99YgYPZhcFj0sfyA9bZ0qPX8mJz3fOiI9/eAfPUR6KT2B6y49SAwhPY0jHj1Z7hU9XAQYPShjEz2jtQ89ieoQPXlMFj2ILSk9NnEzPUapND0rSxw9KvEiPbyNOD1u5VA9LXBaPZfsYz3ILGg9aSJZPYz6TD0JdUY95RRGPQ2MSz17xEM9InxHPTFYQD24hTU9B8kqPc07Fz3TwxU9pjIZPRcgFj3H1BQ99xcUPdEhED0wBQ89F2kOPfjcJz0BMyw9UV0ePTPXEz2+rQ49YjkSPYLeDj1GCBY9HV4QPc4tAD3apv48R0/5PFbw8zyQB+c8OBtsPctAbD2yjGE9BwdUPT0deD3mFII9t7d4PQJQhT2qwn49ep15PRwudT2cR389vZx3PVmKdz0hcX09mImCPQshbT2Jt2g9Sih7PeyMjD2Os4o9wOaGPVMEgz0VVXg9HWl6PSZJgj0iRXc9C+RwPcqxYz2Q9XI9Gl6DPVrPcT1It3A9adt0PQLjbD3QX3o9GcGFPfFSgD3p2Y09RfqGPW4knT1saKY9xkuXPY1OhT2F22s9m7BnPWu1ez0z12M9K9VFPWxoUT3tg2E9ZFJiPSuPaj3RoGw9mYpsPaXKbT0g7Yc9bD6SPXMAiT2qenQ9bzpgPWuqST2K7Fw9rwpnPUKGbD2FD189rMJSPf6HXj19xW093AOFPVu3ij0OgYc9puuIPUjRgj26qYs9RviVPT9nlj1nUIY957iCPW89ij0iDIg9ggaEPT4egz20wXw9xcB6Par4hz3M5o89iWWNPWNwgD1CzHg9RuaPPZaqoj1IjaA9WmKZPfAZiz11r5A9u3KSPZskkT3iQaM9RpicPZX1iD02/Hk9Z9F/PfNshz2DToQ9PECLPRecgT1v54Q9FeyJPabllT2DnJQ9XXKRPdi7eD3yNYU97fWMPYdSmj2eE6M9Of+aPb8JjT2lJYM9WXmHPa4ekT0qnYg9bWOHPVoYlD3fSo49oOaWPe4jij3k/m09FpdvPZWmbz27dYQ9DlmLPWIChT0m6Is9CCh/PdeYhT1PwI89qW6WPfeajj1Unpg9a9iXPZgRmz1m8Ic9D+pxPfKZdD0+qHM9WQ1zPW92gD0G2IQ9PTaJPZ4hiT1BUpI9rQSSPY+OkD0KB5I9SV+TPZNcij0cmYQ9pKZ7PSmphz0WZok9y0GBPYCBhD36jYM9TliBPTeNhz3uq3U9BOdqPSoWeD2Rs4g9xt2PPdA/kj19EqA9hEKhPZoglD2LEos9HNWYPTADrD32L6A9vyuePVS9oz1wsqE9kLioPaiTqD2Z2qY9+dWbPSixnz3rTJo92jaWPTJxqz0dVrA9ukKuPejNlz3cYIo9IrOQPWnVlT1lD449UtaUPf0+lj36VZU9Q6mcPSM5rz0s/KA91disPQAdrT1nE589InGePRm2mT097qI9dzClPeD3qj3O+qs9iQ2qPZ6Ykz2zfJE9kDmBPQklfT2Pn349ONWHPdEDij1Mw4w94ciOPW0nmD16bZE9WmSEPWMnfj0mvIM9aSKJPZK5jT1Qh4Q9uH+APdAXbj3SNWY9EKhaPeVxbT3pYY89yYGKPVhajj1lTJM9KZSJPWjlgD1kjo89d3SJPcgUkT1OPIc9IJaJPUvAkT2+DYM9B6dmPRi2YT2V+3A9UnKSPY6glz2OrIk9ltWDPUKgfj3kDog9WriSPVT7hD0SpnQ9GaV4PfWucT2HqH09YqiEPZjajD2GVoc9rhaFPTy1gj06eng9aXp0PaGTiD0pvIk9AWR3PXuWgT38H3c9O62DPaJ9kz1qUpA9tSiLPUBGjz3ZJ4w9zOSWPbM9oj2OzZ89eDOWPTU1hz3nJ4Q95v6OPXgrjD04nIg9I6GGPV5Sdz1DtWU98vpxPcSihj3yhoY9YMCPPWExgj0KIX09M8N8PfJffj1Gyn49Z0iCPfFtgD1m1oA9TaOKPRWViz11TYE9ulyDPZUffT1AmFU9UJBQPYoSaT1pimY9KsRhPVvNcz3dVHw9SJKGPe25hD1kAoE94uBlPSMMSz3UpjY9Ph8mPaNcIT0JCSU9aeUxPaP2KT0kgic9nKsnPd9eEz1cEA89xWcWPfn8Ez3EQg49mJQQPf1qED0Wuhs9JbUcPX4uJD0ZBDw97S48PSHsQj1t/D49qP4NPXbzAj3jWvU8a3bxPPSi2Dw70r08TFitPHbdrjzDjLg8nf6lPFYYsTy2gb88T3mjPOCaoTyFPKU8nD+lPFxJozxG76Q8kHO9PGCJyzyO7708xvavPA0qnDz2aqM8EPWuPLmZpzwjS7A8qGLKPBpP+TyBUfY8vCcCPWiH2TzUbdc8YcQAPdApDD2Lt/U8SkAKPYkU6jwYZN08XyTwPAMY+zw+T/I8KTL/PByA9jxoKg09jfv4PCjl2zzw9ec8p1fmPO1K2jxo5cg8UiLKPGoC2zzNGdE8DjnXPBfn6Dxq3dE8J6PLPFsV6jyvOtQ80ZniPLTN7jzdRug8cJXXPJXKwTyb9sg8eW7HPDzwwTxg2ck86RPdPP7YxTxmOMI8iq+5PCdbvjyck8U82WKlPJrzpzyKnbA8Ldy8PCiZxDw379I8b/bZPDyZ1Dz1gdA8TtbLPDVlyjw2ftA8777cPP41+Tw7a/U8X2rgPE5Q8zxqIu080f/aPOCi0jy+m8A8GN7APGUsyjyCxcI80mkGPRFGEz0a5tg8lSrmPDTIXz3PvvI9S8wsPhckLD61lSg+hpo2PnFnIj63LiM+WK1BPlMyLT7rliA+zAQgPifEHj7GWxk+4bMSPhoLHT6oVx4++GITPnVlGz6XfCU+uv4bPhKQIj6fVB4+7+AtPszEHz6sJQg+4igKPsHjDT7OWg4+gWQbPpAzEz5K2hY+JKUcPp15HD4NFhM+L2MVPtpXFj5Qahk+yl4ZPnkfEz50dg8+qIwHPnb/CT6Z7Qs+diXMPbbjIz0NCtw8WZAFPUe7qjznx5E8owyFPCSqhDzs7YE89iiBPI++izxDDII8qeWFPH9+iDxpCI88i8GhPHhN8jzJ3BQ+ADj2PVRrDT3ZCsk80h/BPMrUpzwIy6w8jOG4PHEsqzzVBrM8ep+pPJjrqTxT66A8B6WjPPUyrzxWUMU8e6XTPB+n0zxdLd08L8vSPCY/vDxy3bU8aVyxPLwIoDy+96c8zbOtPOexqjyYgbk8AL3RPPOa5TxYbfU8JxbnPPg5yzzYj8I8G9TQPJL43TwcTPM8gCgBPcUSCD08Og09QT0DPTaR+Dx9p9k8SyHlPEvM8Tyfzd882yHnPFA93jzK1eg88fL/PJyZBD3ODwg9r1gEPbXwAT1QfAk9vwwOPdORCz2aBxo9iO8gPbSAFz0EThE9m/wdPYLAGT29sR49LI8oPX/9JD2oWxM9iQMLPbex9TxnUe48MoD9PLtPGz0UMB099J8ePVFvLD0QviY91t0bPUNEFz3W5Q89gCQQPaRaFT0k6wk9MiECPZkCAj1bPxU9jm8fPVcfID1pJyA9usYVPQPNFz3yrCQ9lJ8tPZHLNz0v5y09OB0oPVxsIT3Eqxk9FKcXPR/WGT1XMRQ9qscUPQ1RJz2A8zA9B6UzPcktND2TATM9M203PcDrLz2uOSE9Ba4ZPTO9Cz0+Cg09p1AWPenSJz1i/is9jcIRPaT8Cj12qRc9x9ghPa3fKz2+Mjs9XE08PSZgID29shg9xWIZPRZbJD3IbBI9l2IJPfOAET3uxws92zwNPS2lDT2l9g09bdESPcdkHT1DYCo9tzg9PY7DQD3GeTg9tpBAPYfQRj3pblg9xE1KPTLJRj0C/0I93E03PTMKKD2sgyM9/hU8PRo/Rz2lJTU90/QtPUY/HD2Lzhk9YfgmPfw+KT1r7xw9QqgkPdXgFz0upg49wZ8JPZG7AD0avwA9WO4LPcNuGD0FLh49Hc4ZPbSqKD1nlis9sbsePTcNEz2aWxY9ge4NPfwACD0L6gY9yMkEPV3n9jz31OM8SIVlPb6MUj1+rUQ9vilaPZgpcD3VA4A9EbBmPaVMgz2/HIU96d56PZrqbj0SCX09IEB9PTaXgz0pqJE9ieeAPcVFbT1/znA9Uid7PWD5gT0s6Yo9oFWAPX+Xgj2544A9gzd+PTWwcT1L8mo9kNB7PVGDdT0TFGo9gdhePTWHYj3nrYI9qr2PPX03hz20sIg9zUOHPV7lkT1pjIw9LeN/Pe8zhD3ZPoY9aceCPf4Yez0KImg9qTJiPYsXUD0Z/Ec9YldEPcFsXT0ZYns9VQhfPa50WT3NMlo9z2xnPdBygD0pFIo9s36SPY9bhj0PbW09NyZiPVdSVj1g32M92fRyPZcwdD0mmGA9Xx1TPdUMgj0Gm5A9apmRPSQrkT1Lcn89hvp0PQORbj0+7ng9XNVxPVJneT3LcHw9ZS6WPVCVpz1XJJI96oyDPc37gD0CMoI9bQ6CPXe2hz3vDZ49NLuTPQxlhz1tkIc95FuOPZWClD3T55s95lWTPQktlD2uZYw9RV2RPd30oz16LZw934eMPQHOjj1Z+o890EGPPf+3iD1ZhoM99YmEPV8fkD1pxpw9gW+xPZD5rj06CpQ967h4PeHZez381JA9YhKKPSUOhj2pfpY9S4KpPRg5mD2SKpE984SJPYpWlD0FIqA9UmWaPRhWmz2T3ZE9dbl+PcZzXD1S6m891nCBPe4igD13in89Hl2MPW5zkj3tDoc9M8GCPaq8lD0hf5Q9pemNPddujj2RTJM9kV+PPfKWfD00v1w9BUNpPXn4cD32AoA9w6eEPbOMhD0Qn4I97XeFPcefhj2VtHQ9rCVnPZkWbj3HZZM9rwudPesXjT3K9YY9urOZPeb9oT2PwJM97xGXPRzAlj0i45M9LVeRPRICij2NY4I9s7uCPVhkhD2dsos9NQaLPXK3jz3xO5Y9AEiPPTG6mD3wOJg9VaKePcIvmD0wqZg9bZydPXZGlj27R4o9iMaWPYgKnj0sO5E9wySOPaOrmz1IsKQ9asSPPRnxiz2gw4I9eBx/PaLOiD0JRo09Tf2RPUKQnD134p09NrOiPZgGqj2CkZg97uyhPdoLrz1+wqc9oLWpPTZUrT1vP6c96Z+jPbMuqT1MWaU9KcSvPRA6rD0705c98wKGPdBLgj2yZIE9NemDPaOLjj2JC6A9b8CgPZLAmT3lZZA9BnCHPR2kfz2/N3k9dUlxPTC6Yz31pGM9PkKJPQELeD1jRmM9XgxXPZW1VD0KaF09EThuPcWCgz2aaYw9aoONPUAtjz3K9JA9JYmLPURWhD165Y49iLahPfN0nz2CjIk9fs+HPdWVbj2DQmY9MXNlPe0GYT02Lok9C4aYPcWrhj1UjY0944CKPSwoiT2CDIo9yTV6PZeRbj3hGG098/NyPZoJhD1fmI89Wu2KPb2Kjj2JfZA9I1CIPaxHZD2Ldlw9xReIPd9Ejj3am4Y9BwCIPTHkhz1XaYk9enqOPQz1hj1lUIA9eQGAPba9gz3MS489YLSqPeHNmj3l+4k9G2OHPS6Tez2kvYo9ck6LPZS3cD1KIWg9cvd4Pd/9aD0Zimo9KgV4PXcfhz20E4I9iwSEPT9ieD0kbWo9opRzPb1ZgD0AEIE9pbJzPUgqhj1eNYo9yqqUPRcSkz1NSIs9W2J3PZguWT0y9Fc91W1bPYREYT10JHE9lStpPRZXXz3RLnI9iW6CPUh0dz1uEW89+iRuPabsWD1UcyA9Co4nPZYaLz05TiE9nXgbPYgTGT1DIRw9+kIgPfwvED3RyBM9N18bPd9bDT2zLhI98AsjPWh9Gj1Toxo9IW8pPfgmPD2B0S49Da0rPWLXHD2O4xI99ILzPKb22jxICOE8sLrdPPeZrTwZ87o8zzGkPNYMqDxkQrU8517JPIZ8vTxnBao8fsadPE1Tjzz0O5o8d82UPEO0ljy6RZ88qAi6PIn0oTyazq486WywPP5GqTz8Oqo8Exy8PPAAvDxjFrs8UqnhPKZOAj2e8/Q8ToLxPDHv7zyfPgI9auzpPCgX+DzOqes8wEECPcxc5Tw+8t48IU7rPHfy6zxsMto8ppL1PEOy8zyOaPk89VHiPNv83zxUO8s8nFLRPBtE1DwMm9M8EoTNPFllzTxNUMg87fjSPB+n6zwnQ/E89brpPP5X0zxz9bk8wXq1PGoNvzxY6sE8Kj+0PKGurTwt/8s8QJS+PIlHwTzLjdA8GLTMPHFP3jwoeMI8eoS1PHJzrjxUVbM8p4+kPOcWqzyvX7o815O/PFbMxjwQasU8AtOzPMwDzDzTKOA8zNjNPGFVzzyi8NY85Yf8PL/aCD2cvgQ93SwNPawl/zzpv+w8ElrnPHIe2jwBGK88DtLCPN/V2zwcWK08e46/PJhBDD3lOwQ9a43yPJrVCz1h9kY9F0aEPUxY1T3i5gw+9KkdPnmoOj6x+jE+jHNAPrLvLT4DdRc+uvDfPc6C0j0sg8w9glQgPtV0FT6FQTI+TysZPq6PKz5Xuzo+BTE2PhCCGz6T9SA+r4UjPvMsHz6urSQ+HbAhPriYET6CvAw+dsoSPrsEED4Y2xs+aFIXPnN/GT6WrRM+OZIaPuAhJj4V+RI+rP0JPnCnDz4Wlwc+sK4JPserGD4GTCg+1ZoXPkLGoz1MtYU8G1iOPK4bmDzL0548n5KZPDLfoTzU9Zk8hX6RPMmygTxBkm8899V/PI/0jjxZgZ08Q2ipPFkD4zy+aDc96K7dPAF+rzwxNLQ8nKGsPKwVnTz3IKA8mp6rPKM9sDy7iqM82v6vPGrbsTzgzLc8i0q8PPSDyzz7wtQ8KVrVPKmc0TwlnsI8JTi2PAwatTwW0Lg86GS6PKqowDx2wMM8G7zCPNKXzDxHUtA8Uk3iPK2J5TyIZ9s8XFzbPLVbzjy8zck8qqzZPDU34TzxUes8MDcFPRQNBT3fwvA89gnYPO6QzzxIVc88kMXjPJGNAD0gVuY8PqjaPKi+3TzLJQg9LsEVPS6LFD2WOBQ9g6IPPeLDBT2bwA49FksOPcuEDj0JRBE9fGIVPX6XET023fg8SkECPRbs/zx1zQY9mS8DPVuX+jxqnvE8t68CPSpH8jwqSek8wa0CPX/oDj0+hww93osKPcFmDT0wVAU9PR0JPS7mDT2vkgk9NB4KPXDaFD3AuQ09oqQDPQfX9DyLEug8o4cBPf3tET0zbgY9o5sJPSJHEj3WSx498asdPYRYFT2VgRU9m/cYPU+dFj0Itfs8HE4JPXH2Cz2LZfw8zU0WPSJzHT374xw9kvMqPc9gKT3pRx09TUQRPU1UET1cihI9oa8TPYteEj3N1xU9r6kdPRkBHz16iR89TcQaPc/+Iz290yM9W7glPVF6NT2m1CI9b08ZPbinHT19XSk9fn4hPeYNDz1DTQk9M1MLPU38Dj0kdQw9b1AQPQAMEz045Bo9InwoPc7GNT0BwDk9tAg2Pdn0Mj022CE9fnYnPaGyLT25OzY91e0/PaheMj1t2Rk9ogAXPQ1cGD018Ro9FfEjPXBdOD0XkTM9HhQsPVI2Ij2eDiU9cnM5PZfhID05bxA9PpUaPTP0Fz2Z+gs9L3sJPQk2DD2BzBM9sfonPY9BKD1VWB097qYZPTvfHT21LQ49UVYBPfSiCz2Mzxg9mtQWPWS0Bz1lZuo8CxDyPE6S4Dx4V948jgKIPXR3kD0URY09CsOKPW+ZeD3bIHc9DOF9PQwbkj29D4Y9ueh8PT0LeD3hR3Q9SlpyPexcbz1mXoU93/COPXPjdj3hdn09xcmNPZLYgj05pY89tMifPUtYhD1n+XY9mbN+Pak8ej1wtWI9T19oPYX2Zz2vrW09EsJwPYT6hD1YXZc9/LWVPV9Nkj1Hf4I92MqHPUxudz3PM409L/iIPS+tgz3ENXk9L5ZqPWIDXz32tkU9wH5BPZRvRT0e1l09oitTPUkDVj3K9Xg9W2F5PVvygz2qbH89BOF2PVOxaz0/LnM9iGuMPR71hz1cMGg9YYFmPd+Vdz3zhnk9Uo1kPcb4Xz18pHI9RSqHPQUYij0sR3498w9yPR1WiT2EKIg904aIPQRUgz21KII9vdFjPeJVVj1fdJA94SmfPd/vjj3nzok9dtCSPf5BmD3o05I9ZDeRPXq9hz0vV4Y9DqOMPcyXjz18tKA9UBqaPcRFkz1wBZo9DEKcPZDbkT1KS4s9W0iMPWI8jj3kU5Q9j1qpPWCllT2j0og9c0aFPQAPiD10X5Y9mQinPWdomj19uI09DMiSPWzXjD15SYI9va+GPYjimT0Xb6E9IQqmPWcNlz06yos9OmOPPSzPkT1lfIY9X/+GPTIWjD3MhYY96ISAPbi/gj2zsZQ9EHeSPXkQjD3uI5E9YTWVPUpHjz09zIk9+qeNPUq4jz0aJJk9pAOTPZ2clD0CKok9bYp+PTVjaj3W71w9GsBuPZSOfz02qng995+FPfSMhj3sdHc9k8h4PdsZcz1y3YE9r6yIPWjokT3XKIg9ysaJPRnqkT1K1ZY9b5KVPVsJnj0F9p89pEmgPaf9kT1lE5A9WP6IPbVXkz0JPI09rw1+PXfeiT1rb6k9el6sPXMBoD3om44995WEPUKNgD2ZbYc9q4eTPapjlz2L7pI94nKIPR9ygT2V8H89/BCMPRSFkD289pA9r4eZPXLCiT38T4U9fLCFPSLmfz1mHHs9aDF7Pa3LeD0GW4Y99VOWPQRKkD2Or5U9J72XPeJWlz3Z9p09luGoPX34mz3uZZM9P+KiPWPOoD3GKp49AJWhPZsZnT1o4KA9OlamPYuDmz1K8J09rNunPcFzkj1xe349V6RuPSJoZD2p7nU9SIaHPcz2kz2imZU9IqqZPTQPmj0vIow9Eh57Pb57dz0R6FI9x7FZPZalWD3LZFg95pJnPQS/dT14CGk9C3JXPUmaUT3hdmc9uOmDPQizjz0pbZ09FVqZPefunz2siak9W3KgPf/glj2cDYk9Z8eAPZBCYT2CkF09rl9XPTUoez3HPnw9Eup8PZ80lD3Fj6A9BruiPXMhkT1W1489+8d6PbB4gD10oYM9+m+BPafShT1QGZQ9qqKSPQXBiT1XoZM90OyZPTg6kT2U64c9E9GFPaZ8gT1Z0nY9AdGMPeb4kj0/45g9z1SoPbl2lD0kJHs9uHlcPVnlXz1wrnY9fth4Pe6iaj1mBlw9ZTVbPf4wYD1R8Wo948RqPaNmYz1lUFw9rsRpPUKlaT1b71o91aFmPW2bgD2rGoo9Qx93PdTDbD2Vxls91jpZPUIvbD1WH3Y9Oi+CPUQOgz3mf4Q9YqqIPbqGiD0dYJA9n+uQPWITiz3ZLn49d21rPc4ohT1gmIo9qeZ5Pe4scz1E4nA9o1xdPfUwUz1Snls9ZlhePequYz11H1I9NmJFPXnkKj0VXhY9gxwgPenBMT06phg99xMSPQAbIT3PZSo9AlckPTAdEj1enSI9swEaPRdpED3CWRw9wQUhPa6NJT3RLC49+BkzPRjzKj1RRBE965sQPVBPAz0O0f48gBL7PO7E6DwhmtE8wkvZPEwUqzyHI8I8InK6PCSOrTyhwrM8EqC7POsCsjxKyJ08RxOOPNLOlTzoZaw8WaiiPBDWmzwSdqo8WDilPMWsmzyB85880OuePO8trTzbbbg8VJm7PAB4tTzyaq88+RS5PL2e5TzO2OI8G9jZPDr46jxyBvw8XnP1PDUQ+TytA/E80mT8PGjR3zynnNo8cDbhPPnI7jxtP988KjXtPEh67Txn8eY8q7H4PJd/+TzA2Oo8sp7WPEDyyTxynss80KHaPNfA4Dzoh9s8TFPSPNpJvzx7sNI8eSDUPKi3yDwHgsg8JvvHPKWmxjyUiLo845SjPOyBnzxNNqA8hX6XPIs/uzzE8cU8X42+PCUcwDz5BrM8lwW9PBtjyTw7/rI8z2O2PM9N1Tz4AL08BDK/PJoBszy437o8+eG8PMpPxzxt7uM81M7iPG/d6Dw3WO086Wj5POStAz2GggI9pun6PHFM7zzkctE8es7GPK3mzjzGrs884lq5PCndDj1ufQE9AwoLPUA7MD3hlnw9BlCqPfXzPj2Go4o8/BCcPHjQpTzOzeY8uitjPQ7L9T0gRB4+FhsTPnBilD1NKwo9kxq1PJxSrjyTJtI8gCEUPSUDLD1uvno9B/2MPVEMDz6XPAI+ixywPb7Byj3igMg9b4nrPaoMDT58kRg+iTMTPvpw2j1nL7M9ZDODPejFbD1duVA9KC5HPcHfwD2vEhs+AZX1PX3M6T3FYfU9QX3GPSSSvD2aXbs9Gl+mPW6ahj3fU1U9yKI8PUpFCD2gJrw8ftjAPIlLujx2F7s83V+9PEqSsjzuiKM87z2iPLJomjwBgp889oG5PME/wTwMFrY8cyitPBaqsTz+mqU8YiShPMi/qDwv17M8k6W1PPbUqzwqLrs8R829PA4PtDxT5b48Qm68PPqYtjz3kcA8ju7VPFVl3TzjoNs8DvnDPIPkvTxFNLk8HBjBPD9FujydCLg8HpurPIzruzxlwco8Z0/SPI4g0zyJdfk8WwgDPd3X1Ty648A8unPFPMp56DyGNvM8RKUBPT2ZDD3wVAY9eFIAPZGX5jyrZds8VrbwPO7m+TxADwI9+zUJPRPUED3I8gw9i8AVPYgECj1g/w89C0MfPX6dFT3QaAI9MD70PJK+Bj1LwQI9PBX7PCRqGT0IQA49yWzgPPJSwjwa5NY8FkXsPIDc/DxMJAg9vSESPSZhDT2+9Q89Q10KPVxaDz3wdhc9qCwTPT9FCz01tAs9USACPbHH/TzJ+wM9D1sOPaIIGz0b6xU9DTkRPYuJBz3Avuk8HjTwPAwL/jzNywY90hkWPYnDEz2hwSA9A4oWPd6kBz3oFxc90xMLPVR5Dz0MiSY95bIkPWFJEj0vUQI9e14HPSwrDz1v0BU9RCEZPSzdDz1dWBc9r3QkPf69Fz2GEw49UvUYPQeIEz2fMRI9X2IQPfeXFz0lUCY98FUuPRKXJz09Bho9eE4LPW6RGj1RaB49beoVPWBeHT10iBo96lwrPbnuIj0Jcxk9IqEOPbzZBj0vHhQ9qXMhPXtMIj0jVxU9JCkEPdLnCj0e6xo943ggPe2CNj3T3j89Ts87PbiSJD0+UBU9oTATPRC4FD1a0x49yxEfPVmTEj0kARk9kEgoPce4KD3IgSk9bUcsPSPLLD2eQTE9OpMmPWMQFD3kUBQ9zggVPacdFT3Xrw89nTEUPaCNEz1LQRk9Qz8YPTf5Cz0sMxM9CgocPUypCz1JXAo9N14aPbmUHT1g+hY947cIPQAiFz3ptQ09P6MAPT8H8DyPuNY8PrXNPENp2Dw0k+A8RB+dPRmhqD2/AKA92CGAPeAQZD36TIE9RFGWPZR4oD2vSIs9MZiBPZsHgD2hJH09byZrPayfWj2KTWI9Oo59PWHidz0SoHw9kRiFPYAUkj0RT6M9hTKVPfp/hT2DJG89TcdgPegRWz3W72w9kuB6PV1/bT1jaWw9ZrqEPa+agz1vkIU9Dg+DPS0dfz3Ixn89G2SVPQL/lT0Fho89Sa2IPdGchD2GumI9hTFePUcMUj2pTEo9K29VPUmUVT05e1M9u4tLPTt6Uz0vb3c9ZCCSPZP6kj32yYc9s4hZPVjpWD0j2209g9KEPTsliT0jTXo9pX1+PWW5bz1SMWM92xxwPd3dgD08cIU9EhZvPeAJaD39ZnE9lXONPSawnj3DUYs9bKyRPe9miT22r409GXx1PXrEbD26EYQ90BCZPatzjz0qn5A9cNCbPYQ4lj2aDow9D96EPQFDgj3MEo49Y96PPQuimT29IZ09rJSaPaJ4nz38vZw9YDWSPUV2kD133o498UOTPXMRkj1aOoU9HYOAPYvbiD0ecpE9SsacPW//lD16rJ89g4CaPfvahT1H5oI95yCGPd6Ohz3yrIs9V2+ZPcL8nD0HCKQ9njuYPQjulD2d04w9Pf+DPUcoeD3A84E9bnyEPeFahD3MnnE9vBaAPc4Ihz3aH4k9uLeUPTCdlj2vgps94DSaPTuWmT18n5I9FT+QPUITjD2lipQ9PzCTPRothD07S3I96LFePWZfaz3QoHI9AeZnPUSygj25O4Q9d2l5PVgLcz2ayW89bdaGPTLtiT2QP4Q9quiPPeKKlD3CVY09xMeNPU3Ekj0q+5g9zW2TPUS0kz0IboM9HzZsPVudcT1Hg4M9yoCAPThviT1bn4M9T6SRPZakoT1qE6s902qnPVc5pj109Z497rCJPcgphT0JPYg9j4CZPXE0kT3xo409+UaUPXVUiz2siYo9G+Z7PcUWaD1I5XE9e+dwPRzeez3TIo09Q3WDPYZzYz3RyGg93dmDPedSjD2U2Zc9H9iZPflZlj1BQ4U9LaKIPVmBdj1+5n89uLOLPWi9jz2avJo9JzGePVtknT2DfqE9aT2nPWhKpD1pM6Y9HM+XPVMQnD2J0JQ9zWuYPVprkT2YCHU9BLxMPcr3RD38dVw9tj6IPTtuiD2d02892nNzPdLJiD0+74o9ehGJPYFsgj1bcFY97s1iPZIpbD3kiV49YUFuPRBAeD3tp4A9Zr6CPTeOkj2DD5E9saaEPddKiz0AQ6U97NKYPfucnT1HHZo9SoJyPcRyUT3dzV09KMNqPdi8YT2JpWM9L9dtPdbSgz31cXI9LqtlPXo5eD30i3A9ITF/Pb24gD0nU4c9InKFPUENjT2Dk4o9CZKLPb15pj0f3Zw9r4CFPctqbz2VoXY97K+GPTOGdj3RznI9tzGGPdmQhj3ztos9U76RPYO7jz1l8n09Pqd+PWVaZT2SV1k97UhaPc02az3+AGw9685UPaEjWT1EuWU9tnJtPc+QdD3Vs3c9Rup3PUmJVD2e6ko9d3hNPR40RT2d9009G/BSPZsdbD3UEFo9JUBVPRh3TT1/9G492VOBPS/Vdz0ATnQ9wiCHPTUuhj1LL4k9yayFPV6BcT3DUGg9jx9hPSTaYT3sx2k9r49lPWp4Zz17M3k97i+RPcbUhD3BLHY9VTdaPQFAOz2EIj49s6xCPcmdTD0YEUw9s3M6PfHPOj0ANDY94G4nPXOyHj3GrCA9gLwfPa8vDj257xI9mscbPXwlIT3NFyQ9qZY1PYP8OD2JTTY9eCw0PfoCPT0r0i09uGkhPSjqGj1RWyw9BRQ5PegwHD06kQY9xSLtPHMQ1jxZ2rg8g/2tPJF3xTxWl9A8/WC0PFcYrTzSi6Y8d6qkPDpcsTxamKQ8TfKePEwckTy1NJs89NGcPJIYpDx4ZJ08//KFPAebojwx47k8L7KmPM9trTyMf6g8r8W1PJyXtDzQ2a48sFm6PJtxuzxLeds8IMbOPJon4TwAIeo8OncGPYGnBz08hv08xXLkPKf09zx0TOQ8Sx/bPEum6Txb4/o871TxPD6v0zzzF+s8oiz0PC5RCD2R9PA8zrfjPHGT2DyUr8o8wXjaPJcU7jy+ZN08+vLbPFhC3DyxOuk8P8zVPG98xzxJ/cs8tgjFPHotrjx3q6Y8dnycPG6KqTzeaLc8vXCxPF4YxDwZ/MU8aT2tPI52tDzHwcE8J52zPOnxtDwJ/608oo+6PECTyTycGdE8Onm0PIHQvDwf7Lg8XenOPCY92Dwyye08/yH4PJpTAj3P8Po8+kgAPf0yDD2YIfI8WXLNPB/g1zxWxNM8fMLPPNox1zxiReQ8xYXjPInfjj3LdrM9XjO/PVWfFz7TkCY+1woZPjwLqj28zLY8e+mFPLtwijyfWZ08t4KUPLk2ozx3Baw8Hl+sPCBhqTwzI548rrmaPDVblTwmBZE8FlqQPKjSkzw+0pU8FWLUPBev2zxY6bk8QTqtPBbssTzWlro8827IPIrE+jxtzSw9vddvPShzND3aD9g8E//UPKlVzzzpWbc8ifK2PDFdAD2nMAo93Vr4PBLnCT2Z+ww9CzAAPSnC7TxKjPQ8w5H5PKu65TxsH9I8dX7BPEzLtTwO4bk8DSK/PBtEyzwkk9U8JmXUPKQo3DzDQdY8LxHIPNd3xzz/2dQ82LnHPMOOuzwP5r083oO8PKM8vTyUbLM8jKuoPFAfoDwy/qU8et+zPANhsjxr2b88s3W1PBGjqzzs+Lo85dyzPAJauTydH808vVLVPFEu0TxxD9A8nj7KPNYfxjyD0rw8c8KsPHskuDyzBrM83OSzPOeUvjxz4cA8u/HaPIXS9jzOow49lFHsPAtzvTxG9sQ84V/FPDC6yTxazsg8uqblPOlRAT3z/AY9sLsKPfcD8DxI0vA8zlsJPfCDBz3hFw8963kMPerwDj2fXhQ9CrERPdCEBz1nJxM9cS8cPbUKED0ZhQI98N7uPCIf5TzRCOI8GvoBPfvEET3XsQQ9m1X3PF6X7TyNNeU8ktLpPMZV9jzB3f08WDQAPT/kCj1sZhQ9jT4WPVRpEz3w0hQ9ecQbPd43CD2aFwk933AJPWd6BT26qg49MIIaPVe7DT3fuwc9TtIGPVnK/Dwztek874IEPfl4ET0MPg89ge4LPV/xEj3Vkxk9VuIVPTCJFj0WKhY9PhsZPXWpIz2OISQ9w5ciPX0XEz2FAg49jWUKPfq+Dz0ycB09JsMTPcqbFD0a/RQ90VwRPd0aET0F4RY9AFcZPT6SEz0PQwc9a9oNPReiLD2Nd0I9g05BPZunLz10AyA93hUnPXD+Kj1KbB89mmoTPdQeJD3TEh09zuoVPbauFz31qBM9w7UUPcKVDz02WRk9vDImPWhrGz1yMws9HgwCPaiUED1AYhI9BvUXPVf7GD0erB498CcEPSEvAD1RGwA9uCgKPXB9BD28e/08khkQPd1nJz0uSCo9i1UlPVepHj2/HiY9bmsoPYMpGz3VoxY9bVIPPUTCFT3PGRc9ptEoPd3qLj3Ecxo9EXcTPWg6ET2YOBU9G1oKPeOc9DyM0PQ83+cBPerFDj2dQBE9MasfPfxNKD1FthI9xjb8PJ1X8jwEhvU8X8wGPQGk7jzxodg85s3VPG/txjwKp9Q8Ug93PWvFXD0BZVU9lIM2PTBnWD1AInY9jshWPaxAZD3GRVY9qnpMPYHdVT0zT3I9vXpiPWcLfz2ASYA939mEPcrxYz0zD1o957eGPTdVmD1B24Y9aap5PbxUdD06MYQ9sI5/PR32gj3lT4M9FAB2PVSreD0hJIE98FKKPbmrjz1vKYE99vd6PaGclD0C7Zc9cSSdPcopnz2vwpQ9mECHPQzjdj1tj389JNxvPZ4FTz0MZlg98aRoPYd4Wz1HVlA96JFWPYQCdj28an09VMNzPTj2ez2w82E9PQZVPavsZD1gnIU9rNR3PX8LXD1iR089uO1WPbMhcT0My2Y9KTCCPeDqgT1WE2c9fX9iPY12gj2gFYs91zd0PU4ReT2qgGw9VcdzPehffz1VfIA9QGR4PU2EhD2BnYo9awSQPdHmlD2MRZ89a/ucPe0Rkj2E1JY9g2efPQxXkz2zSpE9rJiRPTrMnj0fjpk906iQPVLnjD0zWoA98cWCPWIihT0MqIM9YpqKPVcXgz1EuoA9xF+QPaNNmj27wZk9Xp2OPTZ3ij35JX49cRCFPRlldj0HDIE9dVGJPXfWjz2qwqA9k56ePULQnz32pJ49roebPSgjjD0X/4I9tsOMPWQNiz1AQYI9wQxzPX7ObD1mYoA9IQ6BPQIhiT0TGJY9p7agPTA1pz0i4KY9kJakPSirnj19hpo92KSXPanmgz2nhok9k0KKPSzieD2ZoGs9pXh0PcW2Zj0w5X89YiyIPVPGjj2s6oA9vdxzPYOQhD3wIoM9wRSJPexQkD3mB4E9H9GAPRW+jz3YyIs9ykKMPYfBhj2fb4I9tpyCPajMiT3/L4s9X6GJPWohgD0ITIg9OamEPd66hj2kZoc9SpqHPSLchT0G+og9IvyKPRUpiz0S0309TW5/PZDRgD3btYk9WvyBPYk1gD3GGI89ZeqOPejpgT0VR3E9lC5yPXf4eT0HM3U9vJd4PQDDgz2wFoo9U1d7PTaJeD39HYg91YKRPWMujD0BTZ493uGxPbChlj1U2IU90XmFPQSTgD3Cq4I90v6MPV4slT18VJk9cm2cPTnclz1voaI9E5ihPakFmT04/JA974SSPUZegz0DZnI9ZKlyPbDfYT1I2Fw9QctQPdbZTD0l4Fk999ZbPYmQWT2tCms9YIV4PT+8hz3BhYk9oZd6PTgoXD32QVg9BxBXPSs5ZD2rCX89zQeFPSxQkD2lsok9mp6CPSrSjT3buo09tyWEPb8QhD1ZZYQ9XFWBPRw0gT0S7mI91PdQPTiJXD34AYI9OwiFPVoeeT1iYWU9g49iPS6DbT1Yy1U9ieFiPct1Yj35A209gm+BPXveiT1L/pM9suKLPer4hT2o94I9F+mAPdzziT0bTIY91BlyPVkmYz2rEmo9mgh7PQxwgj04PoM90Yp3PcvIdT2xLoY9z4x3PTmEXD0QVUg9VbFKPeqGTz2zx0Q9CIBePTSiTz23TTg9989bPS4/Zz3HEmc9O5JiPUbqUz3nwGI9VfBYPf39Qj2RXmA91GZuPXZ2TD2xkFE9UERgPYx6Xz3Z7mQ9Gs1WPX0bYD3j32M9e3Z4PZZMgz1EmHs9zg52PbdBbD0c3GE9pVFsPelDSj1d1zo9wuM+PW2gWz34/l493p9XPcuMST0Yikg9frJdPYmvez3tPoI9yMhQPccOMD2GoDY9G7s3PT1IOj2cCTg9IjUzPXC/KD2HXBU9GEsaPZGBLj0M7iw981IiPf1JJz1uzSU9eBkePQ1PID1MPiQ92poyPc7mND1GICg9OrwqPckFLz07aCg9S98YPd5gAj0RrAw9GE8VPSjSED2KFQQ9ZqoAPWMS9zzmXb48SG63PIbQvTyrYrw8DbDGPLAR0Tx8FqQ86jiVPMJDnTzeuKg8dISzPJ/knzxZgZo85XqdPNoMmDzi5JY8FX6pPP7ppTzlqpU8dc+nPCGNojy2yaE8c2zCPIpZyDwh+sA8DBvDPIr/6DxF89s8AznIPGFQ0zwfPO48s7n3PJmPEj0w1QU9P+zuPDZi5DzdrNk8/2/TPP5h0zzWpu08qu/oPLsF6TyTrvs8UoABPVSn5DyVSdM8A3HHPFPD0DzEY9o8e3rjPAXr8zxag/U8klDhPCmmwjxOrcc82//FPCCGrzyBJa08v5mqPBWhrjwZGZ08XrmePPbQsTzTw7A81Y+vPJpcozzf7KI8xriwPP6qujy+4bk853jGPE8krjxvE7g8KTK8PBuRujwkh8g8NKnNPIw30jzCPdM8em7bPJ4T7Dwpz/g8R9IHPZeaBD0P9AM982YFPQMF7jzjQtM8kMe2PJSJrDxJjLk8Ouq8PM4UuDxWPKE8IQKqPMQYzzwfuPM8avPgPNthMj0sdIA9m/NiPbsk5TzpoZM8S7uNPGeqjjwulok8oLeJPCaGjzw5J5s87z2TPDbyjjwCm5E8m1ymPLDGqTzzTaA8t9anPKqLrzxGRJw8j2emPEGotTxGF6c8p/ScPKWcnDxSkaU8K1ukPKtHrzw8C9I8D5jhPOEk4zxPYd48KyzjPD9U3jynKNQ8WEnMPHO40jyHvt48CDfvPIfM/zwRhgg9t5kAPX429jzIwgQ9swD+PEmL6DxD18E8d1+xPDAwsDzxybk87UHOPJI8zjwcp+A87TzmPAy66zw+Sug8+rDVPIZryzwW6dE81EbDPM4wxDzYSck8NAqqPKt3sDzy07c82tOqPHwqpzzIH7E86a22PLj1sjxOWq48xEy6PLN4xTy497g8nxutPJ4TwDycHsk8o5rAPE2hwzwCNNI85a7ePH7+6jwZWNU8aCDBPD8qvjwrVsk8B2PPPL8LxjzO69Q8RlkAPRB8BT3BNAU9VjjUPG0oujyfCsQ8WXu4PCOyvTyUJN08coz0PO3RCj3H3CM9KS0cPbI+Ej2tTRE9TgEaPVuOFT3UiBg99w4ZPSPvDD1/Ygo9sXQJPfhWDT02JAw9qvYQPZHeJz3saiM9EPoDPepZ7TzDGQI944QDPUeRDT3wagk9Ex8OPV+6Fz1LWwM9H4n2PMvM/zzX2gM9GKAIPQqhBD2iOg09c0sSPUzBBT3SQ/w8RD4APb9vAz2YUwo9rFIOPS/zCz1BQQ89TKUMPf3f8DxBJ/48SOEBPXTCDT066As9a+cGPf+kBj1jfRo94o0kPUN+Hz3egCQ99ScbPYGoFT25fRU9gk4OPXuHEz2O/Qg9T5INPQ7uHT2/DBY9wVcNPYekCz06TBA9SGkaPcAhJD0jjS09mgIkPUvvDz1ypQU9/oMUPXcXJT0GViI9j4wOPQi7Fj2l8BE9+P4aPdPCHj0FiSs94SwhPVGtEz3E3gI9xNMDPdFEET2naxA9RswLPUuBHD0PPSo9J+0bPaNVGz0nFSE9ZNQlPecGIz0WBBc9STsKPcIzGD3JvAk95qT2PEiL+DyfavQ8gLQHPaaTBD1lIwU9j3kKPSF3DD3jbAc9mfAGPXLzET1VvhM9dsMVPUKGOT2rJEI9rdsePTqcAT0+ov48bPYIPWG7Ez1boxk94AUpPVbjLD3xvQg942D6PDaK+zwPmAs9Ug4UPbqgDT3YGws9Nk4EPRHcAT2ktAE9JxsGPRmaAz3sOeI8j1zrPO3U7TxL8AE9wisBPa2O3DyHobQ8C7OkPIrzqjzGRL88AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/TFXUPGwIJT0NrDo9eKwbPcvpGz3CnlE9xQ49PfA0ujzDJDQ9z4A8PSn5Gj3SVAk98w5HPW5OaD02qRY9G2lBPSy6VD3sOlc9B79zPVRReT2DvHU9wIZpPRVLhT3uxnI9SRBkPTyKaT2/7309fL+QPc4MnT2QT6E9tRSAPUBsZD0JQXA98kJjPTx9fj1Jfok9LX12PWBUfz35T389FamNPZwHlD1D4n89iP5vPbUucz0HMXA9+NRmPeyrbj05YVg94ERYPayoZz1ZLm09FhpXPcFPQD2U1lU9Idd0PUKwXT0MdVk926yEPeGXjT34DZE99r+IPcRffj1U3W0948xWPaYYbz2E34I9Il+CPY6xjT2DzI09NmSHPU4hfj0rKos9zQGUPQiblT3viJM91/qcPcKfpT1aOqM937GjPXOTiD1AAIE9n+6HPbLBfT12o2U9FJ6BPW7GfD3YuHM9kAh9PZyeej03zn09lBVzPTEohD2VUZ09UE6XPUbjjD0gdIY9/CSOPeJRiz2MRIc9tkeCPeDBjj0tyJk9DAqgPWqZlj2HiZk9oxWbPfiolD2LfIA9lDR1PSNMgj2oyow9QzSKPbBHgT1HJX09TDmYPVcqkj0M7o090+eVPfH2qz0dE7Q9VT2xPQt+oD3z1KQ9MXKRPem0kz1WDo09sgaCPQ8gfj3c0m89+aptPRqubD0f34o93l2NPbQhfz3c64o9TNSEPStFjT1SWpI9AheUPcv3lD1JyJo9PsCVPeB0lj0vQoQ9sZBzPXINiD1OJYs9CNGMPRFdij091oY9Tp6OPYkKhT1E34M9elmGPU+DgT35png9DR17PWheez2M04Q9L6mGPWeHiT2MDHk9KRxePbH/Rj0r7VM9ZD9cPeC8bT0qRG09VVx5PbWndj19QGg93IFgPYPBez1OX4o9CUGOPcLihz2ypoY9s4KLPRPWiz1O1449jRCKPQTPkz1tFJg9SZ6fPWgmkT3sM5Q931OEPZqqbz1LXoY9CjOaPZ+4pT1Kg5s9gYSbPYZcoT3ltZM9Q3+bPUxCpT0njZM932iGPZ0pkD1U0o89c72CPbVBYj1xIUo9KztDPSRVVj3kUFc9XNRfPY6/dj0ab3s9i2dvPXWFgj1R7nM9xGJ/PWdSdj2as2U92+pkPcuoZT172W89Pg59PXXBjT3l9pQ9ayOVPdq5ij0Ptns9Wqt2PRnWaD3YiV49znlbPWuabj0lMHA97xmBPSqPdD2XtHc90caCPQ+pbz2xr1M9XEJWPX5aVD0MO1Y9B2pfPblcXT2us1o9B6VVPSOCRj2ptVc9uPRVPUc/gz0YvYo9yCt1PeLTaT1N1XQ9qHJ5PSRHdD3om209O5aFPRBheT3abHk9W/mBPakJgj0EXnQ9sRVZPQtLWT3CvWA9nolUPReuUT0qLlw9X9NVPWLJQj2RbzU9hY9FPc7eLz2yMjs9YsVGPah9XD2i6Gk9LTZ1PVu2hj33nWg9pitlPeKXZD3UNns91xldPYnLXj3Ma109RyNmPaBHaz02v4M92RBxPdlFcj3ZPW89TTGBPb14hT14qoE9ocVsPWc8Zj3QOVs9p31gPanQXj3sij89OhpDPeLPSz2STks92JA6Pb18Nz2QgD89JcQ3PVmdNT1Jhi099ukZPZIiLj31/iI9vNopPRnWLj18aC09+hkvPdBqLD2H0Cs9mEQ8PWHfRD0E9zY9OvcsPbagLz2ynDc9CqktPQ7yKD0fhTY9JQcvPYBQFz29BSA91DM0Pf8PSj1TwCc9CBoYPTDrBj0MiAQ9/mAVPcywET25g/U8iRTjPHk2yjxJ4bA89fK+PBtR0zxtCrs8EPavPCMRuTypkr08XCClPJf3mDyC5qU89M7JPNCRvjzTHao8h7GfPI1XozxMn6w8Yaq6PPdivzzKg7E81tzCPHIIxDyxocg8nFrEPLZBwDwxTMI8H/fFPPSJyTzlI8o8bEHTPK952jw4EuE8Szn4PCQm/TwkyOE8DFHOPH9D0zxUGM88ErrTPDDI4jxgjuc8ddfiPPPp2zxbkO08ZnIBPY00+DzXuPs89NfWPIK42TzqaeU8wZvYPFK73TwU0eg8Cp3gPORGxDzWJK88JTmyPOoTxTxPMdA8LP7SPHV/vTwY57g8hquyPLjqrzw2Brg865fCPNtFqTwGQaU86W2uPBACtDzqr7E85cG3PJd4vjzhYME8CmPFPBvqxDwicdQ8dQnXPMF7yTwKR9k8QQTpPEa36TyC0wA9Jo34PJ69+TwOI/s8zfLiPJci2TyoQtg8anK1PM/EqDwjnsE8C5jJPC4Ivzw7oLE8I1u0PLPavTzNY808QuLLPCEVzjyti9M8FKK8PMDsrDzhvaA8yAGUPCNskDwU1Y08WWiWPHzVljyD8o08E3CJPKp9jDzzb5c8K8mfPCllkzwjUI48CIOQPO5rgTw6sos8AfGdPAU2qDyzlJA8T3ePPLovoTxoF7Y83M/MPNYXxDywkNw85jbrPNcw6Dy/dt48w/nUPLD3zDyn2eE8N8PtPP22Az2vXAM92NMDPUfvAD2mSfw8IsDSPIBKxTyv9c48Xh29PHiOtTwpZLE8o8y0PHH0rDzPSLs8ZQ+4PF1DwTyTWcY8fSraPJWb5DypI8Q8/5q5PGbjyTwUY8882n68PLC5pjywI5g8q5qfPMa5oTyKgbY8BWS2PDVqoTwf0bE82AWxPJv+vzxKwcI8IFu6PM2fvDytFLY88A+7PNq/uzz32M4813HXPE1Lzjx1m9A8k8DIPIxmzDx/b9w86bLnPNfR9zwTV848p8vBPGpI1jzzROA8HyrzPMpX9TyrfdY8mDbEPIR41zxsDeo832QAPQJZ8zysYP880ZEWPeM3MD38AjQ9ZMEYPaM2Fj3GOR49+2gTPT8BFj3TJBY9YuEUPcjAFz3FGx49clIhPdsGFz2L1hE9rAcaPRnxGz1WNQ49mRcDPasbAj2jYN88qA0BPZXcET1ySQQ9+ewGPbag9TwDpfQ8i4kIPe+nCz3j/QY95nEPPb1TFD1J6Qo9CAz4PMk6AD2ndwo9MhwOPSQ3Ej3v8xA90fwHPUqXDz1z2hM9dWgNPUW7BT230BQ9Lj4VPZZqGD0kCho9m7kPPbLZCT1WSxA944ATPYsTFz0g9g493uwJPWilDz0XYhA9dq4IPVlXBD002QY9ncEEPc1HAT2ZUQg9pZ8EPUiVFT2eeB49Uq0nPU89KD2boio94CwbPT9lFT38ICw9rzc3PTkUJz3HZxY9mpYJPWiVDD05vho9IeQTPVH+ET2xQRg9tC8MPbQZBz0wiAI9JCcDPanD/zzcvgk9BCAZPSVOMD1qZDc9BigxPXJHMT2GNyQ9tvwdPakwID242BQ9oq0SPWhuFz0WFA89QPESPVs8Ej23Ivs8Btv/PBUVED3T8SE9DVAqPVeUJj3Lzho9wHMLPVc/BT2b5ws9IxwYPUI7Kz1ThCc9Og4SPe4UAz3kCgo9QTQZPYXoFz3LMRs9hTAVPeQsDD0LkAY9RbwLPVieCz3dCQc9zqwVPSDbFz2Xixw9KcIMPWv3BT1Gg+88dAfsPBC16zxCsO48iVAAPQQyAD1tivE8kJDXPI5csDx8f5o8qemVPMzZsjwEl7I8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/iBUDPWk0MT0ZTRs9oFLGPPj/Gz1pYkc9Hff4PP8MCj37Ej496V5GPb+MND37XVs9oPJwPeetNz122Uw96DhdPU4OaT1Bm349z5KNPeXqiz02fXg9+lNrPQgzZj0gKmE9iVZePTcKTz1uxlg9UIJUPdULVj1Zo289P3xxPSY2Yz3xmmM9YYFoPRUEgD1NQYo9SMGJPf+Ihz0EQIs9twCBPemncz0jyIc9wIqAPTgYgz2yeJw9NrqRPVjvgj3GX409/A6VPSi+nT01l5Y9l+yFPQrKhj09cYw9RgmPPeFqkD3S1Yg9dH9tPc74bT0fLWo9P/p9PaymfD2symI9wn12PR8qjT3bVXk9NiF+PUnPgj0i8XM9hjCBPSYziT2jFIs93DCMPcZdiT1L04Y9HG2OPZPrmz0AfZY9mt6ZPancnT2kH6E9kjupPQD6mz0sgZA9/7dsPTqZZz1cwnw9E1yKPcAUhj3muG49l3FqPRy1fT0uh4w9+QmNPYhzjD2Qxo497B+bPSSVpT27AJc9gNJ8PSByaT2qJoI9TNCGPSKidT26+3o94mGAPZqlgz3LAX89UduLPd57gz1kfYY9woCIPZvEez0G4mo92up2PVn8eT3oj4s9FuabPTFGoT1KjJs94waSPWbrjz1K55k9cwiWPVHZgj1nX4A9IS56PZ2Wfj2S+4I9owZ9PeTedj2EdoY9zDGIPYuhgT3zV4g9MGuKPdNvfz05zXI9CkSCPdeJaj0QYkI95iNGPSHnUD1k82g9O5pvPdHVYT1N3Fk9lqpbPSAOYD1LJlY9YUZbPZR8cD1Q8II9E1uWPSg5lz3lHKY9mv6sPYgroj2T6JU953CVPSyWlz1TKpY9AI2QPfvciD1rtIM9jMqKPTMKlz0kMqY9c8WvPVLBqz0ocqs9RsixPQF1rT1grYs9r02HPYBehj2AAY09uBKFPWgZYD15XVg9ZWROPa8TWD0f5VU9KPlAPTKsZj1b5289gH9xPaophj3Wt4E9lLF8PS0+fD3k/Hg9k2ODPeFrWj3aIUM98spbPeubcD21M4A9s+GKPd4+jj3NdIQ9Npt1PWNXYD20Ymo9cpBkPW6sUz0OTl09biNfPWwpgD12TII9J7lwPatsYT3mfVs9uzhnPS9cXz3Av1Y9dX5ZPeoCXj1GEmY9LIlfPdqoTT0FVD89UN0yPcL6Lj0Ebz49c4JKPepPaj3laoY9F9ODPTnAcj1WVYY9Tq+bPcUxjT1Sb209led4PcSXgj2Ki4A9cBl0Paolbj2XmHE9u3BaPX4lUT2xKk89mHdZPTzOYT24bFc9pAZbPXSMSD16u0o9PyRAPY8LNz2jvD89biNWPYHUYT2YsmQ9+stePbD8fD0QGHk9UrNyPdx1iT3VMZE9myKQPV48iD3CKoo9o0WJPd0eez2Z7Xw9XuCDPYmUhT3viIs9cgiHPY9GgD18A3Y9ZT56PUFWbz1RQ0w9tZVIPRA3QT0XHTc9uQRCPYcYTD3zbV09O75fPRTGPj3xwz89NUI8PeWdRD0D+Tk9sEQzPUnZMD2evD09JUU1PdOQKD0n7yA9ceY1PXElPz3V+zU99QtPPX5kXD34yVk9gA5FPaqYMz15wSs9yaYePbehJD2Ysiw9xGoZPdNwGT2PizQ96c9YPWGbOj1ksjI9EFIoPSXkJj3HExA9t57yPJzq8Twkk9k8unbPPKtizTxnhss81k2+PE2FwzyUsrQ8IXCnPDUArTzhNdM8W8moPPqWrDwV57o8zwu3PHTRsTzz2qc8KjOkPMEgozxUtaY8EOqxPElirzy7Hbk8XhfGPPKF3Tz5WcY8PFW7PL88wjzjeck8DmTRPOKJ1Twf2+E8Qa3iPEOV8jwQBd4839TWPNl22Txs5NY8NXbQPHDZzzw9Jck8RDTXPMHc4Dz88d087BbPPCMzzjwNNdo8A1XkPKmb6jzwrvg8vnjdPKHyyzw8ENg84rrcPHimzDwFD688KLqmPKPgrTxF4ro8SuqtPAyrujzOrcw8+xu4PKc4wzyDBs08nibFPMRbrjxjQ648oHq3PG2JqTwVgqw8hb6uPJNSuDyDmc4853jZPAN/4Tw2WdE8S7HKPPgB0zzx7Ns8gXfWPHDs1zy+Zuw8aUwCPeVfAz0ziAk9GToEPYbH7DxMJdA8BKzDPF8hyjzeH8Q8wL2cPIGYmDw8L6Y8z1SsPB/6rjxni7I8fVukPGVltDzaVsI8l33TPEUL5jyRaec8VWKvPIuwmjzqE5483kiXPOceizxTJ4o8Jl2YPB9zpTxq5KM8sCeKPKdQmDz9LqM8S/amPNFVnDxrIZU8qjKJPB58jzw1yZw8bROfPLrEmDxy+5g83RiqPJhatTykvbk8zZ2wPEMQwDw9uNY8x5/DPB+rvTxcN808kWHLPHoT3Dx41QA9pyIFPX3zED38qPA8IzLVPNY3xTyUR6k8YCSsPNhhnjxmvpI8Bc6PPLQXoDwRSKw8hBytPBBRnDwXXqY8ICOqPIDTsjznz648TmesPBmupzxU2Z88Yh+xPPaPuTx266U8yE2vPGNkvTz8t7M8zVujPHeZnzyJUr88TTrAPNTkvTz2CbQ884ipPKGRmDyOSJ08DIugPMByqDy1w7E80Z6zPFH5tjyI4dU8Fq/cPJMruTy6kLQ8Y/2+PAp6wzwd5s48fS7UPDDm+Dz6LOM8h3fYPGWk0Tz+qsY8S5DVPFBR8TwYZ/Y84CDlPIq59DzST/I8Zn7iPOs6/DyvNRI98T09PeTFST1Jxys9OUwZPX6HHz1l3ho90fwZPQ3zKj1IySI9694PPU81DD3ycww9ZQIUPSJXHT28ch09/94QPe+3Dz3FNRE9QmgLPbqpAj3VzPU83Ir9PJyg/jx8KgA97TkDPQLcCz1d7f08QOUPPajmGj1AxxQ9VYQYPd+mEz3vUA89k3wFPSeU8jwhi+M8iMwMPcMzEz3q7RM9XwoLPY3qDj100SE9HP8rPcbsGj1cVhA9BdAOPdgbFD2QQhE9OTkFPedSAj1CqAs9fsUPPWhHDD2pTgI9FIMDPTRFCz3U3QA9KNAFPW4sDT3IQhI9HooOPcTZID0pqiU9tbQlPVakLT0vRig9TZQXPZ98FD2HMR09Y+MhPfptHT3zwSk99gcqPQDUET0EpBY9AnYcPYThFT2HaSk97r4kPXP6Cj2nsQw987cQPZ6TDj1BLAw9yl4LPcjF+DwHLQQ9X1gNPRtVHz1KgiQ91SkgPWrSFT1OihE9l7MHPWD4BT3C+QM9nfcFPe4XBz1ALxE91kgIPQvWDD1+fhk9nYgbPS35ID1G+ic9h/YkPRTFEj1f0BI9z6kLPV2ZCT3WDgs9qf4RPYYXHj3yUCE9Ys8fPUhSGD3aDRY9Q1YfPUKmGj2CTxg9BRIUPWfMFj08jQc9ON4UPdsNED0R6wY98esAPccMAj3qCBo9zsAdPcFkEz2Tof88Ij3rPDNg8DwFLQI9NlIUPe1xHz3pK+s8hzulPJQPmzyMBZE8RR+fPOY9rjw/F6U8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzZwwzwx9ic9rDo7PQxBLD1LhTw9HItyPVO1uDx4hOM8KBgJPX8KLD2upDg97J06PdYqJz1JB/o8sFkKPRaGNT0MMUU9irBePQGmcz3ZAmE9j31kPRRFeD0Oc4Q9v55rPbCtbT2MnWo9YQp3PVc9fj0L8IE964aNPaVijD3oaIY95Yl+PUpGgz0/I5o9sCOcPRoDnz3/2JY9A3iTPdwQhT29j4c9atKEPR0lcz1jUnE9q0J2PajCZT2EdWs9TJNiPURYcT0mmGY9N5tnPUB0cz0WRoE9RvSJPSNYmD0g4ZU9XdGIPUBxkT1VzZw9PwKdPbZurT2356A9LmGTPR+BnD33r6U9s1mcPfiEkD0QnYw9r0WEPcBBgD3iGm89Z7lsPcKRdj1dbZA9nNOIPbDvhz0qgYU9eNt5Pa5xij10nIo9aUiHPdM6lT03upE9EjWUPVubgj0QiVY9QU5hPejefz2uHoo9EBOEPQSjdz0IIIE9AXaHPZ8bjT0ysIM9+YmCPR17ez1dKX49RTZ8PagRbT1K9lI9aUd1PVrUhz3z9YM9hAeLPahosz1g+6g9q2WVPSKNjz1+/Xw9r2BlPQmhYj316V890sRnPeyIbj2WLH494ROLPfFKiz1oi4s9/2WNPRAbiT1La4494UR/PYMqbD2i+nU9aPRSPW1XVz1TNGE9IWpmPfZihz0hf3w9b2FfPbiraD2GVnQ9rOhuPTEvcj1NkWI9DrpwPY3zhD2I8YI9KsaUPTyLnD0j45g9oEKTPQe4mT2qNI498AqFPVXadj3Ob2U9nbuCPQ9Tkj3WDZk9ti6oPVODoT2pq6o9IUqhPa/Qqz1hzKQ9JEuaPcGClj0Woos92oKEPUlUfT09+YI98cNjPTg1Wz0w3kM9N8RCPR8HYz0yUn89/GpxPRlscD3+umc9fbl1PXQZZj0+O2o97dtRPcniWj3sjlc9o3ZoPdrvWz0Nykw9cNtKPc53Tz2puFI9/FVgPUUucz3SQnM92Y98PZTFgj0AfHs9AFZ3PVFRdz0vY1Q9mGxePSRRXT3wPlY9F81OPRm3WD1rVVM9TwNQPXbLWT1Zlmk9xopjPWxsUz1eEDw9Lvs5PXIWOD2ZQDM9UxYvPUyBKj19mzE9nDpIPWYSWT1vi2c9Zq1mPX5XbT0o/Go9TZNvPUg0aj2qzX896NGBPZEeej370mI92RtaPRkaXD3fNFI9U388PdBfQz3xBkE9Y0hRPTHDaT0MO3A9PxdaPcebaT3kv3Q9Uj5KPcViST3Dw1c9HuNPPX42XD035nc9HJp6PegkdD0ceng9ZZGFPSyPjT3E2pk9sxKUPe1Ihj2BXoA9Il2BPfQDfT1ZH4Q9OZyPPbNXkj1xy4w9ICt4PQNeUj351z89qblUPTGqWD21zUw9bjRKPX9EVz09RlQ97PhKPXLZYD0wZUw9vkg8PQ+sPj0dfDo9HL4+PYI+Lz1/2SU9oPksPc1MJj1k0iY9oVBQPet9TD3X/DY9L4dCPefcRT36F2s9NHdaPdKCRT11ijs9qYczPSEZND1fkS095KkjPeUxMD3RwTM9OyAjPYWPJT32vzA9Qi07PcmdQD05ujk9sU0dPdKwFz1M8wE9r67mPKUhyDzZPdI87u3WPIG/zTwKNb48fXvVPGQixjyr8rE8SpevPN3BrTyJM7I8PDOlPLrPrDwBEa08RBKpPGj1ozxVcK48S1mpPEg6sTwU9b48Zv+yPFx6oTzTqpQ8G/CVPB5FnjzUYp88DrG0POTE2zy8Y9I8oXbLPCo4yDzUQuk8pYv2PLRi+Tz6nec8wNvMPKVetzzi/rg8m+O+PLnm1jzlddc8G5jbPNqI0zyP9cc8cSvGPJXm3Ty2be08DyDkPGQ72jyXF7s8dQqwPB6kuTzOhrs8efq0PFG/qDxjuJs84MenPD5Uvzx9w6s88OKnPDf9wTxKy9E8g1vLPAjuwzx73c08DkfIPDHxuDyQ0648afutPEAhzTxy5ck8HqHBPHBUyTySWdU8KazWPPUp5Ty/49s83uzmPD4e7zwowd08GknbPM8p7jy3Ngk9BYsoPVi9Gj38vxE99LEMPcs83TzawbI8K+DAPMZ6yTzwdbw8bXS8PLDypDxtEK48XbipPAmSoTzTpJ88rwq9PGmLxzwhst48vUnqPKri1TwU/r88GSK2PCddpzzVRJw8CL6YPHi8mTwy/JE8sHinPGSZuDx4QKo8lc2mPMtOoDzzwI88QV2YPMXemzyUcZs8pEqZPLVYpjyDoqU8x/SoPCzIpTyMd6w8t0u4PG2cwDzuDso8Gme1PF/lxDwfDtA8J5C9PL1vwTyGa8E8MJXNPBqE8jz6v+w8kr3bPPAo8Dzjrt48DFuwPMNzlDx6AJM8+RigPKKmojxtp548vcaiPOkDszye57A8ovO3POeMtjzNf6o8mXutPFqjqzz5ZrA86uyiPJ3wnzyi/Zo87hCbPOXsqDwxsK08tzm5PB+msjxOma08EvSgPEDpnDwGfbQ8VvmxPNgKuDwGSaw8MXCiPAFnoDyhD6Q8m3apPOdYqTy9j6w8OZimPJaErjzOUtI8KqXQPDlzxzwDeOE8d+npPJYK2TwLx8k8K2TUPJWx2DxTPtY8cIHzPNEo7zy/SeQ8iTTTPKCC2DxNk/Y827LqPMsp9DwQBPc89DsEPXz8HD2zJyY979cuPe+qMD3ZEg89HzICPW3sAj3Mmw89ywAMPTSV/jyaXAI9bM8FPcbNCD1Zkwg9qlYVPRrzID0MKyU9d2AhPZAXGT1ZPxk9oWoWPYOpBj1ygPc8phLuPN7K9TyrUQA9CxANPSvuBj3GJww94BsQPTpODD0JchI9RdwdPZxCKD2FXBg92uQNPR8fCj1kgAY9Ct0LPXtSFT0t3xQ9ZkAWPZYtDz2LUPc82psPPeZqET15vRc9D0EPPYec/jzOrwY94QkKPeGbED2OIxo9UcQgPTeWIj0cNhE96fYOPVRLCj3RBvw8SEgNPZdYDT01ww89hbMOPRxGHj3ViR89Y1waPeDYHj3I0BQ997EaPf+1Ez3AXCA9pMwlPXBwIT1r6S89CrYwPVa5IT2UMR09MY8SPVpiDj3vlxk9BRIdPaZ9Fz0skx89jIMrPUPRFz1Liw89rgMCPXn7/jytqgo91goNPZhiEz0H0gc9PvsSPSi6GD2vLxE9wY/+PIfDCj11ZgU9Gi8EPc6/9zx0gQI9YN8PPQgoDj15OQY9mEYFPZ/8FT3z9Cg953AnPYgyHT3yhho98ggVPYI4Cz0avxA9DZ4YPTUyJD1B3SQ9eTgEPbdGDD38mR89Ag4jPeHHIj1BXBw9bNcRPR9jEz0zVBQ9ku8WPbQCED08Y9k8SInfPM69BD0I6fw8HNrzPEA+4TylA9o8T0UBPRc9Bz3/vPQ8ChvLPHdPozwEMY88hGGSPIifkDy5n4w8PzCSPBCwizynG5U8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/Uvew72UqfPAXDDT2aLRk9meYiPVVbSz3nK0U9rLm1PJYILz13VVE9O+M+PZkUMT1Kz1894kxyPWEALz0SFU09PeWDPeomaj1reFI9NwlsPdk8eD0rXnc9MD2CPeiPgD2dZHQ91FRqPQUghj1gn3w9VfFmPaUNcz0DM249tJV3Pb4Sfz1cuHA9xdpnPZUTaT2jeXI9tuFsPU4GgT3ugaQ9xKymPdGenD141KQ9FsyjPev+jz1osos9PqecPQYinj2EapM9QtmQPfU3hT2KJYQ9MCKBPREMbj2F2Wc9/pmFPVd+gz0pKIM9yByHPcjKkD1FNI49gWGLPcZnmD1b2J09l82fPWJhnj18gIc9Je2RPVfZjz0MqIc9gnh1PSkybT11gl09aApvPQHAcz0A+1k9RvpoPRpVhz3KVY49ldiHPV7ZgT0AH3Y9II11PdgagD1+zoA9tk2BPZL1Zz39yFM9BFluPcaegz3FAoY9y2iSPcXAlz2beok91hlwPSYdcT036XE9E2pvPXGdfz1L3nc9b/p3Pex5fj1NiIo9qhSMPW/sjT2rr5k96kyNPRqqgT3N9m09A41VPbvBWz3KE3A9ath5PSs6dz0vZl49z8NMPVYwdz0ElYM9l9F3PTfgeT3U1H49UuRqPdaDeD2H1Xc99K+EPS6oiT284I09PSaRPcb6mz22t449B1SOPQqNmz1Ri4c976V2PTeTgz2jmYs9VzWTPTzwij2qqZI99IGcPTxLpj3Lj5c9aomPPaz7iD0ghoI960mTPesMsD3SeJw9mp+GPZTMZz3Kl2Q9r8pWPTb5UT2mWEg90etYPVwbgD0/y4A9gCd5PfxKbD0ugUg9yuk7PfHaMD3+zDY9pJ1BPcenXz05OoA941huPYLOTD1lYzU9AQk4PQwISj2GPEs9WW5fPfvJfT0BF349p+SHPbexhD0VVI8964h9Pf9aaT1zRlI9WXpRPZXaUj0NwV49KXhkPcF4bz28FIE9V7tuPWFmYT0MUGQ9Wy5NPfHUQD36Ry49++g3PeBdOT1jFj49+cI/PYIdQj2yAkY9IsxQPZpCST2382M9sPVtPXhJeD36cXY9LzZoPRGkZj0/qII9PBx5PQs1XD2R0lc9KWNuPed6XD0YB1o9rUlEPYmJPT0nkUQ919FYPaaUZT3vVmY9ked4Pc3kbz39sGw9XNx1PX11aD3itHA9TLxhPU6mXD01BW09ghBrPcqAbD1yB3Y9PC+GPVg5hj1BMYg9gxaDPbL8iT3HC5M9C76OPcohcz3kS1o9X91uPai9cj1qrGA9VilbPcO8Tj10uEY9H3xHPeIaPz3W70A9xDZTPZ9VWT0Axlg9o+9TPbNmYz3mT3E9XlBgPQdFTj3wHT094DosPfuGJT08WiI9qqE/PbXQOj38ilM9cBBRPQ9+Nj3T5zA9+FxCPer2UT24rUk9BuEsPZm8OD2YIS09jjExPUa0PD3NuTY9cdIzPZ3JVD3huUQ9T64yPaueJz2e6hE9xDgHPWNP9TwZ0eA8WebGPDWozjx/oM082VfbPGWg5Tz3suI8GUDVPLCx1zzyf8Q84tvDPMyauzzzo8A8ajvDPEqeszw8TLI8YSO2PJ8VtzxGqK882HG1PEb3szzOjLs8sx/FPCyzyTy2MtE8CTTCPDlqqDw0nJg8LR6aPNVupjyc6a088LC3PEcs2jwoUsM8go+yPFw70Tz1nec8yAboPHvF5jxTu+I8aXfNPDi0yDwtI8k8R/XNPHOW5zzxmeA8HHvkPILz1zzsw7c8u3WoPCmVtDxv88c85XjIPN9Gvjy1H7o8x2WuPEIksjyt66w8JkybPNpqnTxSJZ48KLCjPCeJszwnJrY8D7XAPAhuzjyoGsc8ldm4PD+guzz6g7w8A0SyPGqSozxVc648JHbLPEba6jz3UgU97rL/PCc89zy1l/g8bVLZPCg60jy2AM48zW/PPBGZ2zwN8+g8KMLyPCTD7zxECQs9MgYdPWNVIj0HMgE921/UPOY14DxW/dI8b+DWPBG9vTzJzME8AkXJPJI6tzyvg7g8zJWjPFw1mzz4tqg8ClvLPKmg9jyl8vI88endPEBTuTwZd608sHa9PCB4wDwN96Y8WveYPAxRjjyJBJI8q9mSPC+/jjzM34Q8NFSJPFiDjjxio308N6iGPEi0lzwKAJk8hZaoPJcnlTyYIaA8ZJCyPC6EujzkGqw8jQWxPBXutjwj5MI8xZy4PG2MzDyE8to8oA/JPD8K0jwyU/U83noIPdqw6Tz1/sg81erIPIGmujyR2q88psinPBfRpzyTy7U89pCaPF+VnTxDy6Q8KSyxPJuvsjxtIqU8anugPE0ltjxWfK48OK2mPAjmvjx8FKw8Zn2cPGfmnjw+y6080l6pPEnuojxLEJ88yySgPDlLoTzsa6U8IkCwPBLurzw/VsM8ndLHPFvSxjyljss8XCzDPCrlrzz5trI8N5SpPCIJszzTxrE8+VO3PFCVxzxF7sM8mpfNPPEr5jzimws9/+IbPZA0+zz+2tc8LgrhPHL+6TxM4e48IRLjPHeE7Twn5+88wXPRPIG0wzyR0uQ8bebzPNlDAD20hh49OD0vPUDGJz2ckjE9buklPbACED3mg/w8C28EPb7nBz09wRE9t/MFPdivAD1YWxg9vHohPRa2Gz3WTA49ppIgPeacGz2jYR09FYofPVN/DT31Ofs8fy/sPALQAz39HA09mwABPdX98jxSX/s8QugDPSqvCz3Z1Q09KtEOPb6YAD17Mfs8FYoDPTXhGT3NAxg9YHMNPYdFDz3qZxY9IjkPPfD1BT04exI9O+gPPR6WCT0NwQw9A7cPPRUhGD05cxg9A24ePe3zFT1JdBo9JvoZPd1xGj1rfSI9l3kiPXteFz3rggw98QMFPc/FAj35wwg9zPwNPZm5Cz0I8gs9l2oRPb0JFz3HQRo9A1clPagOGz1eyg49h8oUPeCBFj0baxs9zh0ePR98ID1iFys96+dBPWA5RT2VRiQ9JaIVPUEcED2uMx89IrkdPVinFz0gSx09rQglPczfGj2s9hA9+Bb3PI7C8jy2Yw09gXgePe0JCz2q2QI9OmsUPf8VDj1gJAk9TVgIPfvSCT1KSQY9DJIFPb0HDD394g09UHUGPbuw6jxJzPU8diYEPemaFD3rhBE9Ec0OPTIaFD1Wwws9BjEKPYl7Dz0EFS49fTgePUxpFD1cbhc96kgRPSU7CD3w5B09SP4oPWgvGT2prA0926ABPajHAj3kCgg9U+QAPcco4TzRjMk8d2bVPKQs6TzWNc087+7BPDGlyzxfPL08SD7LPE4luzw9EqQ8PBijPJd6kzzFd5E8MoiMPFFJiDzxpYo8iTGTPEmzjjzcOow8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+0TEzzo4Is85k4UPa/wJj2XRB89I0M8PRwMbT1x1R49WhV4PQCYpD3Tuow9L4+GPSGqcj0oymg9RD50PXatfT0kDY09IYqNPVMkjj24/bQ9+/LFPX+Ioz0t7Jg9gWqgPW/vlz3/aYo9umSEPb46fj0eWXY9toJ4PZefZj3xQ249jx92PaBceD3avH49W7+FPRrHfD1Aln89KXOCPXaqiz075ZQ9QFinPbzxqT0eF5891ZijPUgLnz1ZVYc9YRxvPT19Xj2KrVo9vMxePe67fz3PkWI9fD1wPfWHdD01fGI9GPdsPbyYXz2J8GA9kmNlPckQcD3ZAIE9DryCPWmgfD2cwH89IZiDPRBUaT3n/GA9GvdrPWJ+iD3WBo09Tvx3PRWsWz3LqkM9TcRYPXKCaj2Mf249p9diPb1aYD2IEHk924N6PSGviz3ysIQ9bLiGPZvWiD3QuIw93ViGPU2rgz2pB3s9XoSAPYZ1cz1bIW49G8xxPYRJij2VNHE9YmpyPbJFgj3qS3Y9zvZsPcGwdz1ydHg9XCF7PZ4XhD2PFIE9QUGGPaHchz3K54Q9bu2OPREFmz1uAJg9LBCLPfFXhD1nE5E9nkeOPWobiz1C3Yw9feOUPXCRjD3+bpQ9Y+6TPXbogj0DI349umyCPcuahT0ZN4491emOPQ++kT39uIw9vgGUPVxPkj0BLX89//J1PeRgZz2weXk9biZ4PRooaz0a+GY9qoFPPR93RD1AEzg99Y41Pa4tKz3Ahjg9ZQM1PWBzPz2Q5i09ljknPTZEJT0Mzi89DdAwPcAGPD0IJlM97SB5PZx5dD0vZ3E9MJeFPfkmdz351HE9g3GAPcROVD0Y/EY9IUdIPQsiUj3Tp3M9FmB0PbNqcj3gumU9SsBRPVEoUT2qoUw93Hg9Pf75KT1wTDU9wm4+Pf0dPz27tEg9LQJoPbgyez2IW2U9PKJgPZCFZT3OpG09GBRtPcRpZz3iaUk9gB9KPfTVTj3PYGw9MV52Pbs1ZT2+VWY9WJ9zPTPscT0PRGE9UZ1KPbHwSD0+gkw9AVxyPUoWeT07Gog9AbSSPRNrjj3icYQ92tB2PQ+xZz1ckVw9LP1kPYsPYz3g+FA9JP1lPXqyfj0JeYY9aVaCPW5xkj0pMp49n6yPPT8Jez1mu4A9umV1PYatZT1C+Gk9KuBsPaV0Tz3czmI90B16PV7sdz2YWXE9avtyPd0yYz0VcWM9i89mPXDHVz3OkEg9JY9VPRlWXD1k41c9YttXPZsyQj0y4D09hbYzPRnXNz1qaDo93YY6PXeWPD1EXz89oP03PdyBNj3d8i09WqUxPf+yJz2tvCM9G9EiPb16Oj05OEI9O3A+PfNoOT0vSEg9ep8+PTsWOj3rqT09GecjPfEEED3cBPU8xjTwPBse3zzYkN88BBLKPN+UxTybm8A8F17TPJFc1Dxhtew8PYnLPCaPxTxk8cE8IsG7PNhRuDwjDrM8ZDqrPNdDozzVWKw8GZq1PHRHvTwXY8w8o/PEPHxwrTxwBps8iJG3PHsDyDxv5bk8WEqoPD0ftjw/s688ZY+tPIxtrzxXfK48NrvKPBap2zxkfMw8XbS0PGGmzjxRLM48/C/OPKgU0Dwti8M8kuzGPGacrDyUzL48oqDWPJBIzDzOwcQ8dDWvPIGJtTxvXbY8QbO0PJSDvDxjm608AyTMPK9V2DzCc9E8CMniPHxfwDxfmac8vAanPOKvqjw8LLE8fK21PJMYqDyHg6o8cbS4PEExszxITa48JHKyPL62pjy6sqI8JdayPO87xDyxfcE8CafqPGBLCD2l9vw8P/3mPKc14zwvL8Y8m6G6PD7GyzwDGMA8wBnOPBmy7TxjI/48ZTf7PJyoBz2DMA49rioTPY9ZAj1n8d88cVDSPJcm4Dxi4cM8K/S7PHRX2TyYFOY8FfrMPLykxDz9lMg8ZSrBPNy7wzyLduM8NkIEPbsRCT2E9d88HPCqPK8bqzyJvbk8k3OzPLEqsTzkoL08wXbAPEezqzwmcKU8rg2mPOqmmjzUrr48a1ykPF7+lTwJm5I8lmmYPBfenTxQZaA8OryhPLnUpDwAqLc8LlzUPB2twDy53LQ81vK3PBVvwzxB8c08pyHVPG/g4jzT3ck8/hXFPJSo7TzzSfk8a9DtPI16yTzr16I8iRDPPMLMzzyCgrk8Zxe+PAYTxDyk+7E8bwirPJyEtjyKs608GMauPC+krzxXJrc84aC3PFtUsTx7dKY8Zj+RPHJ9lTwhsqk8E3SYPN5ppDxkKaM8KKuhPLropzyIKKc8g+amPDgXsjwwpLo8hnS1PDFtvDwRkdA8j+jKPD1BtDzxBq889cu5PHJorzzjNK88zN2wPD1brDzSW808igTZPIw64TytoNo87njtPHzh7zzuEvc8ZbIDPed75DwAjsw86OHSPOf0yTz2Cc88CALcPLV80zzp6808S7TaPFxK4Tz6c/Y8ubcMPdrLDj1mlA89hucYPcKqLT3JAjw9LlE6PbBuHD0rtwM9TVf/PCWF9Dx9agA9zq8GPUHBBT36kwo9ULYbPTAuIz1Gjhg9rGkmPQiKJT1qzAw93jz1PGXB7Dz1rvw8MLEHPX3nBT2yvP48Ce36PMM8AD0XYww9HdwnPbu8ID114wo9nh3vPBzZ3Tx+dO084dQBPWKX/Tz2Yf08StABPc7x/TyR7gk9z9YYPbLbFD0b0Aw9xvcPPUtyDz2gnAo9a04DPadwCT0buhA9kfkCPW9v/zykmgI9saAKPdyLCD3BAgI9spAIPeOADT3GPwc9G7INPfyuDT0KqgY968z7PMo7+jw4OQw9lgArPfS1Jj3JuCc9MMolPXq1HD32GBM9HMQNPXBWEz0vlB09hx4qPVvWID1wUBw9UKUsPerzMT0BdSA9jwcZPeAcFT3sdw492XcEPR0HCj2aRxI9wFAHPcslCz04QgY98oXsPBJx/DxRNhc9nG4KPd64Dj2lgxs9HoEOPfWfEj3t/Ag9bzIQPaIVFD0KHgM9lu8NPbwqJD0+xiM9pEYGPR6XAD1NBvg84A8EPW6ODj322xA9WlYJPZjlBD1UzwI9m5EOPdY2Fj2Atgw9Ka0bPfJvGz2FKxA98qoIPYCTAz3kgxQ9eSQPPUnHDj06YhI9wtAJPebYFD2syyE9jyPnPGgbnjxL0qA8VOyzPHs6xjxHY8o85D/IPOQ8sTxtdas8/qSnPM46nTzIx408ymWVPEitjjyfgH8837+IPOCbljxXh6I8/iKbPHm/ozyc8Ks8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+gASM9f6GEPZlgoT3A7os9Fa6APTOncj0cm4A9JOyDPbMBgj28gpE9m7KePdY8nz13xZ49i4KaPW6vij1oqYQ9AWp7PdmUbj2jFWA9d8thPTmeZz09inw92xKNPYdOjz3Oo4s9+YOOPf4pij3GC4o9m5OLPaMShz0/f5A9WfagPZsjlT2tL5E9+46cPeAloj2fepc9uL+GPTsrgD1PpGM9gc1NPbXNUD3ilmA9jwNlPTSOWj2Aq2E9JKJgPVX0Yz2+vWA9+mhpPbgRZz0AiWQ9vaJpPf6NXz3tDmc9ESCDPTMygz1/Q3Q97UlUPfUhXT0RcFw9jnhcPeqzbT0VRWE9DEhAPVr1Pz3Gwkk9WHRpPbOMeT1RjX891LJdPcsSZD2hn3o9gbp/PXK0jD0jN4Q95i59PQeyfT1v+Ys9PhaPPVqChT0bSI09cK+VPZ39jz3ZRoc9poh8PaMrdz2iiWk9oMp3PcShfT3qXYc9OfyJPU1oiz2NfX09+RhtPa6Zdj36CG89ZG5bPQJjbT0XA209peODPSA9lj1yvpw9/reaPSIpoD1nAqY9iBmePX/EnT1er4492beKPVLghT00qX89KrCFPYcvgz2EiJM9L7OOPWpufT1//no9eJZ+PRkDiD0hkZc9BF+OPWt/eD1fTW49Kk5rPcmFWz0Z50896IxLPQf0Tj0S9WE98fpePTX8Vj1gClE9GONTPSjrPD2KmkQ9CeFOPf/TUT2mgUE95zJEPTucPD2UnD09W+hiPVO+bz36OnM9xkBlPbVMbj27rXk9IFZzPTwtcz3QeHI9OeRZPdljOD3/Djg9SOsvPTnyOD0Ik1o90vFVPcnfRj0nOVI9Zk9QPVNXVj3ALUo9yV5UPYXRVD13KVc97bJSPfNbVD2eg1M9xsmAPdVtVz1HLkg9fylOPSzoZz0phVs9LWA+Pf3wPj2igTg98504PRO0YD0XG2k9WG5qPXiHbD3I/3M9eLSAPY3rgD1WNXU9y2d1PWTQdj2+u4Q9P56LPT58cz03DYE9hCqWPZVnjj19R4M9CnNpPY0LZj0p6W09dJRyPfBMUz1F3V09ThdxPZZOfj2b54s9gtaNPQe4ez2+IoE9slFqPT5MZT03y309kvF7PUusaz2OgHE91UtiPWFrfT3wOGk941BGPS/gVT1HS2I9TMZnPZh3aD2Q+1Q9+9xHPU3AUT3EpVg9dAxaPT4DVj0rtU897NQzPQkWMz2hrjM9MwE0PTFGOD0H2TU9wX02PffqPT0JY009rC5HPb0APz1C+Tc9IJMjPZW0Gz3WMhw9Gm4XPRaAGz1q0hY9YU0bPfa4Kz1d3Tk99jQ0PYldGj2+sBI9JwMIPXOfFz0ixwI9ZPLcPG1qvTy7MrY8oRGzPLKQsDzJvKM81mK1PBzzwTw0pME8jATdPOUqxjziW8E85/K7PFwPtDzZ7rw8/ByvPK9qpDy/Aqo8NCK8PBLYvzzRVcI8cxW2PEGivjzdMtQ8nwrWPPdg0DzpxNU8ntW2PIhltDwJAb88r5/CPOMZvDwRr8E8CD/JPJJVxjxlysU8ifm+POieyzyQndA8/VXVPOC8xTwf4sw8MwXVPLJ41jwNU+E81s/LPP/Ewzx1mLY8Y8erPOVBqzxUH8o8lRvNPO5xujyznLk8cMS+PPbP2Dxfwsc8G3jAPJwcsTzwYaE8pJSYPIXcoDylFqM8PW6qPKbJmjx+B6A8NGKmPPsTqjzgKbE807jFPDz31zyE19I82e3IPEiz8zyzGvI8OxXcPLzxxzxzzLs8Z5LBPPDGzDx4Zsg814i+PHOAzzyJruI82ZsBPUVXCz1G0gk9uuIAPcoHCz2OexI9V2gBPST14DyEUdw8exXUPIo80jwUscI8KZzDPJuZwzzt0Kk8rQ+rPGbFvjwChso81erNPNCZzDybN9U86XnwPHWk5DyGfMc89UK0PI8+vDw9vr08/tS+PHdJwjx/M8I8kVayPH9/pzzOLKc8zqqfPL9+nzwoa648efauPB4+tzxSV708h7isPF1RoTyxf608NqehPHv1uzx3eMI81gC4PHLNujxof8A8hAi7PPePuzxNS948oMHiPIo43zx2+9Q820fKPNWk0DwSOMQ8+yG4PMiqvjxFVbg89f3OPCq/2TwmYcE8N669POituTwRJMI8bMTDPOSftzyw5Kg8xECjPPWksTxxYrM8Mp+jPEBUkzyTH5A8E5+TPGbynDxW8J48vCSkPOSCsTzH6aY8/YSfPEnYoDyby608DtKvPDR+sTxiE7o8lq6vPMV4qDzZ8ro8P6a5PLu1vTybysU8N3zBPCOUwDy0Erg8EkSxPIAHxzwiNtM8AX7aPNWu4jwHL/Q8vx3xPCJL5jyEOeI8HfPhPGIByjxXTsc8S3PSPOO90DwlzMo8VVDNPARW3Txi8+s8ZZH3PIXV8zyzCf88TNcOPVyBFT0w4Bw9TKEiPRrsKT3qOi09GuQWPeF7DT0Ciwc9oGsEPZUwDT3qkw091iMEPT0qDj3lVRU9gmQhPTrGIT257xk9SXEcPSLrGz2zUfg8NTLtPLe48Tycx/88G7sKPUw0BT28Av48Btr/POdc+Txj1fs8Z/UVPW43Cz0/cO489F3rPMoM6Dx8p/I8Dcf6PHHEAj3uOfo88AT1PC9wAT2T8+o85sAKPXAmEz0YgA49p4gHPdkNBj3RuQE9wU/oPDeu6jwO6QI9EpACPdFvCz01uQk9VtcKPUhBCz3efgg9R8sIPf8DDz1aVxU9IRsTPeWNHj3wBhI9OzsNPTB9DT0LNBA9Q88QPROAFT1PDRo97sIVPWlAFT26YBY9AYEUPa15Kj3szyw912kjPYcBKj3Vghc9Ng8fPQjXNT3dZDk9nGMiPQQjEz2V8Rk9RvYTPV/fFD3EuxA94d0IPcwEBz1n/AA9BYkTPUGcDD35OAA9szYDPRJuED3Fkxc98uMXPS0MDz1gWwc9bdcIPYF1CD2eswg9RRsSPWv5Dz3x2As9WusLPcoqBT0b4gE9eNoOPXC1Fj3Hcxk9pB8iPaaVIT1nShk9wnITPSms/jzQfPY8qDoXPYCZFj1ROgE98TD5PJqpAD0+1wY9CYgXPcsrFj3LaAQ9v5z4PKz63Tx9Adw8+nfDPLwspDweTZ48O8qqPNwAsDw75Kc8pMWePO8Rpjy29K88icOcPFCahjyPF1886b9yPD9Pbjxy11s86sd4PPjohzxWFqA8XOKwPOjjtDzs2rE8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3kSujuiEUE9wHmLPa0KiT2LQXU9mFdtPRJDcT33m4c9VD+VPTjIlD3wRaE9v66jPXW6mz1looU9gx9rPesFaD2V02c9vPJqPZ8yZT0f4lI9pxNrPZcSgz1y7oY92JyEPXZfhj3hM5Q9mc+XPdfykT1seo49DW+VPTCykz1+zIo9f4OLPRfjkz0RZYU9fnOEPaxZeT1H+2w9oHxePaA/Rj1zik09j3lZPbxXVj04NnE90u95PdqDXD1Yklg9iPZ3PWjmiT1CAno9zRZdPeaEZD1XVXs9PxCBPSGkdz17I2g9QuN6PVILhz3toXE9CiRUPfgBUz2pqE09fQo3PTg7PT2ZxEQ9Ro45PUqgTz3i8WI9jwKGPd8sij10OWs9PU1mPbsmaj2ITn09aReCPfnyhj35EZs9ypWMPca+ij3Sh4M9pwSDPXxjgz1CVIw9R5KOPaQOfz2ZDWM9awtYPf13XD3zi089eFZgPWNffz1AdYM95TtyPZJUbT1YfGE9P9NNPZd9Xz3vZ209JA96PacQfT2dxoQ9ArWVPWZ2jj3xqow9mXOSPTdukT1bSJI9FcaPPa8Pgz1biXE9751dPad9YD38e3Y9SgGTPcJRlD0t0pQ9uy+LPfggfj2TSoM9BH6BPfN5fz0HgIQ9tMR3PUmYcT2xGGU9cZdYPWWxRz2uBDw9aMo/PRsyTj23Y0Y9nKcqPfAUKz0qWy09W5M3PeuxRD05NVo9iyFiPVwZVj2jnVo9zE9ZPZMCTD20X0w9xeRVPWf4eT2oZXc9u1N9Pcsifj0wGGQ95cxuPQ3adT128lg9FBIiPXYoGj39qCE9ejktPdZdNT3Yxjw9Hu5QPc/GWz2zrE89uy1iPcoCdz1noXQ9Ta1rPWBsgD30k249x3lgPcOlVT10AF49ZQlgPTSNXz0CX1M9qQpPPQhpYj1o60Y95ENFPfSOTT0W5109JU5cPfjWWT2z+3Q9CTWMPfo3gj0xj2894aaJPfMejT2h/Ig9tyaBPaS9ej3C54Y987x7PYZ0dz1CyJA9fkyMPYLCgz39IX09HSVrPZmUeD1thGI9g1lnPUeSYj0+cGI9k/pfPWrxZj0cmV89zFRlPcHAXz1fdWY9NCFhPdE8Yj3tSWQ9q2RrPQ5Eiz0jhYE9GYVcPVopUD0Fzlg9AvFgPYEHgj1/u4E9tT15PZLNgT0+VGY9/D1jPb0bbD0CrWg9zbBIPWX6QT3sAT89T/s4PagjOD2pBEY9CldEPRbVPD27Qz8999IuPRuLPz2I21U9XO9TPfYCWT3dszE9Y8EdPYwHEz1UUQU9/knuPGX08DySlwo9fQwOPe+GDD1FVgo9vb4JPW9CBj2u0wc97lf8PKWAAD3eluE8XhG/PEY/qTy0dq88RY6iPMvVqDwZLrc8tTK0PNYvtDyAvbY8ic/VPLiluzzyo6c8Y7yzPMjntDyz7qY8U9ucPLPJnzwwa7Q8O6SsPMKnsTxeCLU8gMKrPL2tszxm+tM83ovdPPCZ2TzfmPM8VGm6PI4rvDw8/d485XzNPJ+/uzxIXK88ggm9PMy70Twutsw8KpPQPK6CyzzIfNQ8YI7OPKRytzyPRN089iTzPDYs7DyWD9g8Q6u9PAqOvjzGFcA8JkPEPFANvTxFmbc8JyvAPOY0vTyLwrE8CpSsPIKUxzx9D6I83NyhPDL+pzyeL5Q8n8aePFrwlzz9Q6A8aUGyPCG6mTzOeZg8f/GpPIdZujzvYts8YJbpPNhHDj0yH/s8AfPuPPtZ4TwEJs08E3nKPPzNvzyv5bg8b8K6PGW4zzw9bcM89jXHPHYy4Tw0CO08D5XvPAPh7TxWs+w8OunuPDv+BD1Qagg9Gzr1PNlv4zzda80897a8PLxR0Tyz5dM8wF23PFWlqzxKHKw8qtCtPGAVuTxXV748jWbUPKjG1Dwfe9E8wkzZPGPn0zyd4NA8zma4PJ8HtjwWr6k8Hpm2PFHwwjwwqsI8oPOzPFfurDw7H7E8DTmhPPO+oDy2baE8jsSfPEaVrTxQw6k8num1PB1GvzyEONI8FwrFPB1VvjxP8cE8Lou/PKKwqzyb2aU8QZ+6POITwzzQaME8BGLpPN5C/zz5z+A8s+rCPPyBuDxyOa88ZZG9PJeT0jwKZsE8Fzm8PLKWqTzjvqU8DgmqPNtSrDx63bY8DGrDPMQluTwXUrY8TP6vPOiyuzyNfbs8n+KxPMFYljw1mJg8I3CePDizoDxesqY8h1ugPAVGmzya4JY8U4uVPNHxmTzmUZ08lwGuPKSOujzNrsk89HrPPFu/wjwk+cc8eDjFPMwTxzzzbM48O/HTPMvMzDylGsA884vPPDiQ4DxPitk8R1PLPB8I0zwVavY8GYfuPJ5n9jw/S/k86PviPEr3zzxw7c88KRfQPP5M2jzdVOw89/LzPPW3AD3Zqe88hvj5PA/WAT2QUho9fNklPfsHJj1+YCk9CqovPXz4KT0ooho9BukJPeE6CT0LRRk92mAfPbvxIT2xPBc9FCEjPbaSID2dIhM99OkXPbwuHD2rGwY9jQEHPS1VDT1GHgA9KZPrPJVt8TxyBfg8i3EBPTOdAj30cgI9IBMAPTDt6TzVtdw8MejuPDD5BD3BTQI9QzkAPcEeBj0gTAQ9iIkDPRwF9TwkH+g86xv4PDI79Tz/DwM9m44RPbQ/Az0xQvI8Jj33PJE9BD0k3fs8eavvPF32/TzUGQQ9tf0EPWSIFT2QsRM9kHIVPYSqCz26shE9Q4oWPZHEIT03hyY9j/kcPS+QKD1OAx49T3MaPX0hDT3j9QU9KgsEPX/OEj3NMCw9RYMvPeh3KT3m3iU94k4bPZ25HT1bdx09CIsPPWbKFz28mRs9Fn4aPYelHz3f2RU9TlsMPRPIET0j0ws9GIQXPQmlFT07WhY9R6YdPWcKFT0RDQ89LiENPZ1+CD09NAU9q14MPUZJJD05xCU9IS0iPTQHGz1BEgc9l7IGPeKsDz3gpho9ipocPRV2Ez0UGhs9ZR0WPY18Fz0KYws9fNMEPW0cET3ZRhw91XEUPZziCz2KvwY9QmsGPQejBj0TMgo96c0RPTnt/TyGVAA9B2EDPZZPAz2J/hA9rJUJPd6U8DyHAu08rfPrPIF+2Dx+gsQ8dn+pPJH2pTyXLaw8FO+yPLC2pDzmR6I8mW6pPJUvrDyOIaY8GwORPPjNZTxH31I8aXZmPJC7YjxL2mY8lkp+POeDlTwCv6487CbDPK4swDwYn7M8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3UAtTzC00M9ZymNPe0Giz1Jonk9lAqEPQSbjz17+Is9102DPQZ3kj29ZJc9DLyEPQt0Zz2HpVU9yINoPcCJaD0ZYW8936aAPb9YaT10HXY9qLSAPSj1jD3wL5Q9/G2fPVd/nz3sfpU9BuqAPRhniD0q7Zk9QZ6aPXgbhj0Dj4k9pfiLPeQZdT2v4109yZtVPdsbTz3+x0M9iKhYPYSpXD1ye2Q9XjF+PZ1tgT3LM4A9c/9iPcr+Uz1GCmA9NUptPcebaj0b7mo9oEtlPc+nbT1LFYo9ZQF8PdlwaD3of3I9mGqNPQnqjj2TxIc9JLxpPbnRSz3ffkA99+RBPTzYTz1NL0w9BgdVPSIQaT3DSWg9wPNcPdhEXD0WlGw9SJl5Pdo9cD0HOnY98kaAPQNLjj2uD5U97XqFPcThfj2ZPms9uGJnPXWacz2NmYA9aEJ6PbRjdD1tO2M9RQdKPXkAVj2PBFw9uKxZPeC7Uz240XI9pp9+PTv+fD1u3lQ9XqZgPd7HbD3VDGU9rY1+PcqHgz2dJXA997VvPYzdgT3MmIY9IB6FPf+RiD2SKoA9vYdpPcNOWz0R51U9C2tkPcZHbj3gyH49CKaAPR+Vcj388m89vtpPPZ1+TD3kzUg9ei9OPcWBZD0TWW89ZpZvPdAEaT2r1F892+FjPelbRz1sojE9NtIxPaMyIz0sFiA9LXklPYIbJz2aKjg9xFAxPcjfMT2TpDE93BY7PZp5Tj3t0mY9o5tkPXz7bj3Ws3U9T2NwPQfacj1qnYQ9filtPVngVD0IwlE93sxXPYKbSD0DSzs9uWIuPTLYMz2wvSc9wOAzPQE0Nj2J6EA9w2cyPW6+PT089VM9ScVaPWLnWz3DIGM96hZiPaHxaz3g4II9UaSIPQPnbz2O3349EaeEPcEpdD1UHWg98LhTPefNSD3y/FE9uT9bPbKnTT2MUFs9H4dXPRsgWT3QiYc9CemWPaiSgT1Idn09EAiTPXKgkD0S6ok9wdKFPYeGhD2X2Yg9EiR8PaY3dj1KaG89+q17PTPqgz0LdYA9VFpnPdCdbT1FD2s9KitYPTNGWz1rHmQ9yFhcPSGOSz0wTFY9m5toPVZZZD1F7G89UQxhPa7haj29QXk9YCdoPSMwXT3Kz1o9ERljPZlwbj1+0mo9gzdvPeNwcj35yXA9s6JiPcuLUz3LNk09u0RsPchCXD0OVEk9kUdTPfidUz0TyFE9hl1LPfI+Qj2FpTM9oOg8PZQAOD22JTI9nzJAPbc2XT26tlA9tZQ2PY4NKj0SWio9whMwPe4+Dj2zEfM8JnLKPLT92jxBO+w8xMvhPN1CxTx+t9A8Qn3YPEe14jw9ktM8ka+3PKHerTyTf7Y85oauPKQZsDzzRLg8CfOzPBXyuTzJArI8OIO5PCm8rTwCCac8bOSqPISZvjxxK7U84RfEPFgcxDzkf6Q8dhOePOPOozx6urQ8J+2/PAN3yzygBrE8N/2ZPIjrsDzf+ck8Zn3EPDFYxzwxXNA89Oe2PH5MwjwlqM88pnW5PHV3rjzt0LU8ZuqkPMzrujwOdNI8GOPMPOK3xTzv4No8HbHYPHgR4zzGV9Q8SPvXPAMTwjyW2L884Tu9PKC4xTx7ytk8dKrIPKuXvjz8xcc8CGjkPNYT0TxfBL08pD/EPEK2tTyXYrA8WvCiPJW8nTzioJc8XSGcPDDHlDzn3Z88XHibPMpCiTynsJ08wwvOPIBY4Dx+8+I8mZjxPGu6AT1VI9c8KRW7PD5IrzyUyMA8jyHRPN1AyzzJccQ8n9/WPNmV2jyen9U8B5bgPO545jz1rPE8CMH0PNtwBD30cBU9WfoHPQNG/DyCbf8870TfPK4x2jxwusk8+Xi9PNPhuDx5f7Y8pf2wPP3trTyiOrQ89O7ZPD9b3zzn49s8KJTmPLdy9zxF6O88JVjbPJMR1DyfwMo8NJjIPJmmrTwvvqM8q8uhPAA2pjwF1MM8S3GnPJqijzwAyaI81aGgPLDapjz5IJw8JLicPM3GqDwAcsU8C0fUPKRlwjwPg8g8EFDKPGc/sjzs+L08pcLDPGvvvTz6Q7U8wYnQPGF+2zxt8N48Tw3IPHjE4zwxtd48baXMPFfVxDzksbY8lfu3PGVVwDwZNq880sehPAsPrjwanpo8bUylPDSqojzC1L88AjPAPGxmyzxwoL88B0WtPHl2tjwNyLw89em2PCPUoDzyf6Y8bSKtPFulsTz6CK08Tg+mPBaysTzjcKo87yyiPGPenjyvrKc8eTKnPOEOpDxI0KY8Y2WsPFSExTzMQtI8b2/UPIuB5zzyHNg8aiLMPADt3zzyHOw8JgHtPMB5+TyYQ/w8abLjPN8S3Dyq6ec82cTVPI9c1Tz7ou88N0AFPbWD/Dzpx+E8ntjaPFQb5Dx7zes8vwryPEj07TwbE+88V2sBPR4cBj00vB09F58mPW8wJz2h/Cs9WSAuPepzJT37rig944giPcZPGD17hCg9scIsPUK9Hz0FKxE9YpkNPVtiFT34mh095u4WPWtWDD3OIwo9u2MFPeT69zwiwPI8KK3lPC/S0DxgMtQ8d8HnPBCK9Dz34QI9+8wDPTSp9jxEfvE8snfuPPt3Cj2dNQs9wWsYPeC7Ez0iJxM9a/IMPSaIBD05iAU9olcLPeiiCz2zKBE90E0SPQqu/jwmj+08zrH/PHEyAj0rvwI9PsoNPVXiDj3WlhA9fZwMPWdqDj1snhg9LTATPW0A+zwaFgc9w48VPfx/IT30vAo9uuf2PMKqDT1XmxQ97o4QPVcoFz2qKws9284HPZ5nFT2ZCR49AOkkPaGDLz35+DI9WZ0zPcAEKT1hPh49fIoQPembCT3W8gI9rUkNPUoJIT0DuxI9CcgLPQdBEj1FRRk9lEMYPWVoBD3ksAc9drsXPdVoID1nDwY9Uf4BPZ+iCj34ew096BEiPdUhIT2nzQ09LloDPQEuGT0yFCI9x1MlPY4tET3K3gs9HiUZPTonGT23LCE9n/klPQuyKD3TCAc9KubzPPPz5zx3guw8T1UQPX8KGj1lVg89E5sJPVLY+zzOyAM9ZXwHPXKF8TwF0fA8HRL2PDec7TzDLOw8yHjoPDzozjzuTcY8K0a8PHUguzySTrI853SWPAo0pTysJK88H7CqPCuxnDyOeqQ8qke0PGHKszzcs6I8goqEPO4EYDyh+ns8EbRzPAYgbTxvXoc8AQaYPGDPszzl8c88oLDdPOAH3TzORuA8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2aw7TyeWWU9f0OIPfD4jD265Is9zqaEPXZFiD2XN4c99xeMPShUiz3XMnw90fhbPaQdUT1931c9SUlYPeTFaj3VCGk9avaBPYrvfT2Q2449z6CJPbXkgD3JR4k9PjSaPX83nT2qWYc9ZH56PXJcjT2Z8589+lGWPSRPhD2UrFU90KZLPfLUTz2A1Uk9o2RNPQOpRz2yK0k9T5tkPZ7eaj3eAmM9UYNqPUnWhz25EX89pOhzPU2Sdj12bGw9g49jPTJLZz1iVmw9AyZ2PZC/fD27DXU9+jxoPZISZj1Z7oA90TeJPSA8kT06jI096LdlPWlYQz22D0U9YUJEPbxNUT3uI149ZU5XPXqGUj2Gyms9ZcV6PSHLcD2u9mk93CKCPRIhgT2h0Xo9ziyEPWSbjj1XXIw9aImDPZqyaT1QlVI9EtxTPWCJWD2fimA9LAaAPcQmfT1DfIE9EYWFPRF7dT3rXmU9Uil+Pb0wgz2gCoE9BMt7PUi/cz0IImg9FXhyPXG2dz2HGoM9E/h7PenwYj3Pf4Q9ndeIPQJ6iD3Gy4c9bR+APaePhz1l0pU9MtSBPb5Ycz23tFc9F4VXPQAKbD0Wx189KTBSPffBSj0ToEE9BABCPcm7Rz1fglM9K017PZSyez2GJWs9OXNlPfXMYj3ks1A9V4lMPdLYTj2p8EU916tQPRteMT0MMCg9kvw/Pa+ZOD052iw9vtosPf/tSj14f1U9NfFNPRLoVz3zD1s96NxfPZEoij1X4JI9YOeYPajifD2iFWg9G/JZPdk+cT3ITVQ9KxBHPX1SUD15VEQ9bwIzPb8zLz3cQUA9loZFPZOZST0uaEs9SaxRPThtWD3Onk89zt1ePcQyaj1cd149mhRWPQ6bYz3DU389KCqJPU3fgT0ZWmA9BshPPQXrRj2MZEg9LrtHPf0fVD23bkY9m8NMPd6xWj1dlmU90rFsPchLhj1oZYI9P7x2PTZyfD0E8oU9HZ2LPanvhj3G3oE9GExyPX8obT12qFo9+B1GPRkGTT3fz209ght2Pa0fbj0ks1s9/w1lPQ57XD3oZlw9leZfPQgxSz2j3Ec9aPlRPRJbUD3U7FY97d1jPSlYXD2+jGU9iCtmPR/yZz0MSHI9VYJuPS48bD0NXG49vrVzPVx5gz2l3YA9at1sPWDoXj0ywF09uS9DPc8wOj3OM0g9OyBcPeG7Xz0WLmU9LcBjPZBcZT3T+1E9XdtEPVTHOj1mISs9MSU1PTrGNz2HJzY97wlKPS3MSj2U8z49nWNDPR2JSD0XyDU9OAQpPZ5UFz25nhU9BkELPdk84jz7ZM88kE3FPP8u2jxfksg8OxuxPOEVrzyQnLk86CXKPMlSvTx06a08FxqiPJxaujyj6cc8Ad6zPP8dsTwGp648S3O/PCxdqjzGnq88zk6qPLn4sDz+PK08KZumPHzszTwKvbo8J6O2PPSStjxTBcY8aUvMPEht0jwHfMc8HCusPMdLqTxUKLc8lBy/PL9Yujz7w8M86z7WPCzFwDx8+Lo8w6qsPIzCpTzKO7I82rO3PEmWuDwJrLU843LLPG6C7jzCo+o8sx7mPG437TzbDdY8sJDTPBlf1zy5YNM85YDLPFd+vTz8QMQ8cpPRPEJo3Dy1R8w80UbLPOlGvjzOcsE8Co+8PNeJrDzWdKQ8SvGUPD+6jjyk0Zs8pJyvPAxNtzxZR7Q8GwurPCybqTyu8Ls8mRjVPKaT6zwjLNo82CHJPL4gzTyaNcg8F7u7PHsMuDwJH748AAbHPAj3xjwdN8g8LoXPPG+00DzS39o8BVPjPJC0/TySxAk9AvUDPX+FBz24vww9pujzPESy5jwIBt88uZ/UPD743Dyh+9A8Vyq4PNSZsjxeh6s8AbqvPIV7sTwwYr48qF++PFQxyDxudds8kVDdPNIn+jwT0+U8ZkbVPFZNyjx7ANU8DUvEPGv+rDyXJaI8GK+KPNTAjjwptZc82gKJPFwZjTzp/Jw8wUOMPJc+gjz7oaE8kyylPMLNpjx10ag87pi4PH6gtTxt36M8aoOsPOQGwTx1w7U88uOmPLKqszzpw8o8E+3KPMmIyzx0uOA8t4HFPPGAtjwYMMc8khDFPBB2rTw1KKs8ZXWbPEDPrDy9Jag80G6sPOC3ojzGQaQ8PBS0PNBDvzz2Lbo8pmK5PMPhwDx0os48DsuvPIFsqTz4qK48atmvPCoYozwyAZo8uE6cPJ/6ojxgmak8ZuGuPLQYtjydxMQ8L0vKPLeTuzzJVsc8twe+PE1EpTzsma48T7i1PP3axzxxRL08AOTlPM+l9jxLd+A8fCniPDqt/Tweevs86UL3PDE18TxMn/s87i3yPG354Tyi1c48ZN26POaRwjzVRvM8vMjgPCqC5jwVJQI9TfkCPQYhAD2GBOM8pVjhPMxo/DxgDAA9znz7PPs+Bj3rZyM9qLggPZ9SGz3rYRc9ougQPRTDEj3CGxE96FYZPeKJIj0Y+zA9D44cPcOuEz2xWA89uVQLPQZPEj3p2BI9ie4BPZ9a+Dzmoeo8VSD1PEj5AT16R/U89UjkPGVX4zx0zfU8xRXoPDjG5jy7LPY8Kj0EPea7DD2JfBE99kIJPaF9Cz3BcxQ9ktclPRv/HD338gw9xbUGPXzmCz0FCRQ9xFsQPXvQCD2wev08RYwDPdOJBj1Pvws9tF4PPapmCD2QnQ89ejwYPR5wCT2ViAg91RkGPVvEET0uahE9vcUNPTQXDz0yoRk9b6ojPV6+Iz1xgxY97D8LPWFOBj2R4wk9HmkEPSNHFT3d9g09SeMOPSNqFj25KB893IQcPcD5Gj0TVSg9GDUqPVlfHT3iGQk9sxYaPeidHj3JdCM9mJwbPbf8GT2ZkR49IRkbPc+SDT2zXhk9lRUZPaepBD2G2gw9F7wcPZQmHT2jHxA9ULoLPUJp/TzAI/Q8GB/+PBvfED1ABh49R6sWPRnZIT23BBU9L68FPWpq7zwwRwU9/IAWPXBnJz1M8CQ9jE0aPfs4Ez3Megs94Bv7PCG36zzLWgY9J3kMPYdUCz2EhQE9U8EDPfdp3Dx569M87NXZPPAxyTw6wck8sv/XPJG93zxmAdE8lFXQPMnJxjz5orM8uYiwPEGpwTyc27o8lYOgPGqTozygH788j96rPP3OlTy+t648l0W8PAlevzyIgcI86/GePMwghzwCw3g8W293POIEhjzifY48waOpPPuKrTwfark8vxfRPApK4jyk7dw8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/iRKCPAcpQj0RIYs9qzqFPXnglT1HVIs9KidvPXMUbT2RaYA9mYmNPdz2fD10BWY9qzFWPVrpYT3C2209gRtpPU1YaD2fmHk9RgSIPdm3ij3XgZQ9dKCXPTHYiT2A1Y095Y2iPZGyiD2hrms9yD+KPTVdkz3ywYY9NLp4PWETWT1FllY9xPhGPY7FTj1qh049/hBSPbcaaD35i1Y9yhZmPWKabT0fLWk9jsd6Pekpij0BRXQ9u+ZuPSbBWT2O21Q9vDdpPUi0gz2zcno9l5KGPTpIdj0d8GA9bGWBPQT/ij36AJA9gqONPYczeD2xrl49FLhTPRMWVD2doU49YXZGPWa4ST0ZpEY9G1ZVPXv5Wz3VlGI9Ogl8PVlzhT1krXQ91c9zPQkOhD1m24c9FCWIPVx5gD0I72E9wE9ZPSqJXD3zmk494ONaPWf6Xj3mYl49KpR5PaGThD1RlII9wGV+PacLdT1Ik4A99UuOPfDxiD2ltF09WGNiPSTvbT2YuHU9RihwPZtcej0Szok9gmGVPfDrkD1CEIc9gXmSPefmlD1mJ4s98y+GPVadez2Lvos90X6APZDYaD3DzVs9t+9QPcTLTT3joEE9Pto8PXOnOT3dYUY976BUPahEUj1Hk1g9bD9mPTIeaD2B6FI9riZgPRecYT09VUc99+REPVXKQz2d6kU9//ZSPYHhTz1Id1Y9GqxRPaqZSD3kJkg9WIpIPTBLQz3vg1E9stJWPRPlWD2ds289RTZ8PT/thz2Mb4w9r8yAPRsqWD1JeFc9BEdSPQXHWj2yUmQ9W51WPQCmSz27gCg9viAcPQL4Hz2f9is92686PSnzUT0pvGM96C17PRfMgD15dFk9gjNfPRvQUj1bDVU9OyJcPQyvZj1nIFs9W6hGPYh6Lz1FHjo9pi9iPYDXZz3HjU09fldRPUdEZD3s4Gw99xNoPVfufT1ZLIM9UMuDPciDgD25xHI9kdBjPf6Nej2A1XQ9HFR0PQHRcj0YnGM9jJZHPREERT2kHVE9ZFtbPRjyaz1/eoA9udRqPbl7Xj28WUQ9ec1TPa4uRj3iDkw96kRUPb7+WT1zXEo905daPdKOWj1KPWM9gP53PbzvZz3D0109FflZPXXEdT1mcXI9MlVuPYtrYD1h8Vc9YVFnPZbCgj1Kg4Y9bgdzPf70XT1ffFI9B0dSPeIyTD2Zj2I94v1rPeJ0ZD1iflw9ChxNPZQNQT1fB1Y91ZNKPQpFNz3ZVzc9pi4sPR2CKT2YgCI9dj8tPQFaPz1rykA9ad40PXXwNj0o5CY9JAsZPRJHGT2DPhY93UEFPWQK/Dx6e/A8HGbTPBgxyTwKo748BdmvPPwMszzqC6w8gVu7PN3fwzxOzLo8Dxe3PKjgsjw94q48RIquPIwHsjzHnLc8MZrEPFYQvzwIo7o8LGCnPK7/ozw7KLs8FB3FPCJryTzBkbo8JIzBPLaEyDw+98E8efK1PIfqyjxrybk8fNXBPIzAtDxlkbc8KJPBPC84qzy1C7k8SB+/PHCppzxAZaI8WxmlPKVWqzwUnLI8XianPGKcqDxVyrg8E0rJPOoj0zwezuc8Cl7TPB/o1zwGJNc8JmHtPL5I1jzxCtE8AULCPFmo8zxXbuc8tXfGPBvusDy8YaY8rbufPJMXnzwcO5w800KYPKOaljyIy6E8MF+gPMmCmjxuaYw8x/ecPNx0uDzmotY8IWbVPBqN0jxGts48PiHJPFFQwTz1qbs82gq7PAKzrTzV0bc8wNzLPLEUyDy3lNw8Gk/RPNTetDw3jK48PUC8PA0r4jxR3tg8HZbUPLdT1zxiBN089un5PDG7Bz2sffE8KqvZPBKa1zxLTt48r87PPKwhvzzaBbE8F9ytPMt+rzy09rc8aQ6/PN8xtzx7Eb881GzBPI9JzzyGrNQ8jbvQPGTD2jw3Jc08KJ+yPDOGvDx9HrE8BZCsPAMFmTwoxIY8y6eIPGGThzxayYk8VaqTPDoqojxXIpI8y/mSPJIsjzwrTpM8FKmhPDHGpTwsDI889K6dPIc5sjyW0bM8qaC4PKEgvzzmlKo8LZCuPBLQxTzzy8880WrXPLDm3jxll8s8Ir/JPFVi2Txu5OE8dli8PC8jqjxBdKA82rimPNljsTxH8a88VzGuPORUmzxnF5M8gbyRPAS7ozxLALk8TsW0PG5mvDxIusQ8YXO4PJNTsDzgebM8JpapPEmeoDwfA6E8IRmgPFYetzzYgbo8ZJq9PAmoujxy0Ms8jJ/PPLgezTzFLc88X1jTPNVTwzyqIbA8/r+zPK2LyDwVLuk8ZCTlPNjK5jwqu888mpzBPNpHvzygZcI8YE+/PJgQxjy5Nuc8hF/pPPn6/TxIqvk84Z7iPE3B5jyM/OM8rDjTPGh+3jwabQY9U2sZPdlbEz2mJxE9dG0BPU2d/Tz1Ew0908kOPYniCT1xFx09ZjIWPdmmFz1O6xM9ukcXPbvzFD3q0hQ9TqQWPaCUHT2qqSM9yogpPX0kHj3F3BA99LgEPdI9Az34fQY9TS8IPZcq/zx97fU8CI/uPIr/3zz9ht48kNbvPCwwAj2ssgk9mZL9PKzG+Dxxhv48DMkGPX+oDz3ZrRg9zZYIPZcrAD1j0Ok8TCT/PN6c/jwmBv88dkoFPW+6DT0Hq/Q8YbHrPDBN/DxCWw09MkYfPfFpFz0Nhw09+Z8KPZLwCT3LPRE9ufENPaOyCD0/agg91wMRPdXyFT17Sg49t0AMPczhED0wghM9hrokPdwbJz0dPyQ9CecRPfRHDz1/6RQ9yQkPPS2gGD1bLA09qu0QPfx0FT31mSc9QAkzPfYDID1MzRk9kakhPSsNIj1F4iE95VElPfvaGT1g0Q09B2oRPdv7ID1b5Sc9QXQmPfMRGT1EoA49QegGPTRBDD1v5Cg9IUIhPYuuDz3bFRc9nZEaPb+dCz2zhgI91tYBPSBEAT344RA9txYRPZiXCj2q5+08+sjhPJWr/Dxi0gk9nwUfPaBHJj0aeiU9teYFPTNH7zx5vAQ9G3cKPX4dBD04jwQ9dwsEPQRp/Dy9WwE9m0f8PHDV2zwiCr48HEa0PGumsjxlwrk8VwvGPHFAzDx6QtQ8vivRPC6crzzMUqc8bCe8PAHpwTyBmKc82PqiPPu0rjzat6o8+e2fPPkwljyhTZ08R9KTPEvsmDyPIqo8vCq3PJd/kjwfJ3Y82jt1PPTyiDz4ZYs8G52WPAY/pDwasLA8qce6PPUYxDx2otA8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/lDXgPHOuRj0Wi4g9hf2PPe0Fej2wpWg9dQ1qPSrSfD1xtIA9mkqLPdfhhz0nT389aipsPQ4aYD0apW09g1JxPdrCez2u+HM9l+FyPeCkgj3j2o49p7iMPdMOgD3syow9btyePZm5kz3R7Y495OuKPZmXgD3VSW09dNRVPZKRWz3c2V89x+VgPWkPSj0QcU89XhdTPdonVD0EqGQ9idl+PU3Vgz23wns97cyLPQRSkz31P3s97Y9gPWqMaT2PvHU988GLPXfhkz0XYpk9dE6HPdPghD0xLXc9UlqKPU1mij3CcYc99KGDPZAedD0suWM9oqJJPVBiSz1Fc0g91QVWPVw0Wj3LVVE9f+eAPez8iT3oN3c9H3BmPbCaWz1eL149Ilh8PaldkT1JqoY9UyZsPef6WD3QnUw9kthQPZphXD3fS309z/KCPa3wgj0kVWo9qt5gPf+2dD3jZn09U6GGPbhNfT0pfmY9CJ1XPUx4WD1RG2Y9sh1+PfmfhD15xns9yzyMPWGzgz142nw9haCIPdYQlj3mUJY9b9+FPa1lgT26Imw9WSJoPaBmdj2pW3Y95lRrPYFwbz0kHGo9mDxaPcx2WD1dpUU93clGPRrfOD3D1jk9mp1NPRHJZj1HPFs9vy9LPRHAUz2KhFc9m1lFPWf0MD1+KS89BG43PUMtNT06XTs9HsBIPcM1Wj3NRmg9rhRuPWIHhD2aoIM9DIGEPatcZj0f3WA91SdkPSm/fj2U2Io9dmKIPY6+gj0QiX49rmxqPULgVj2usFc9wcJvPQqjbj2qxl09vwdMPaSMMT1ITTE9Q982PYvTOj1Eqks9/gxGPbOeVD2PflI980ZoPbjmZj0Cf1g9ittRPQ7VVj2zKmY9OoJdPbHWTT3bFkk9j/84PdpnUz3g+m49+lBrPUJyZz0QFXQ9PIeDPdYHfj3DpWo9lOlXPcLIWT2aemE9QghSPQ5nUj2rolc9lS9aPT1Bcj2fLHc9cIFYPeG1VD0SElw9+kpXPSBeTD26SWM9RfNqPbcicz2Kkmo9+xBPPcEGQj22xUM9u/1RPVblYD05j2A929JlPRB+ZT2WGmY9FlNsPWUcUz1H21U9PjFuPaafbT3FK2A9b31fPWmpUj2Ynlk9gj5RPQigQD3EP1c9cB9yPQandj0TLXo98yZvPfyneT08BnE9MYJwPa1/cj2pXXM9mXd0PU3JXj2J9js9Dm44PaTdRj0Kk0M9msBMPVFvOz2Wtio9ziYuPZU0MT2x1DM9aZAiPTCgHj0IQh09SWUgPbuTJD2TvyQ9DIAgPfMZKz0ttx89oqH0PH+4zzxdYdc8lxPOPGETvDzjx788HHnDPBVruzwmYa48seq7PF8SujwgXaM8EsTCPLDFrjyO17Q8gszAPKmHzTxe9748+EW7PMODojwll6o8MvWcPEmbqzxp4qk8uImyPBrkujwAILo8c6W3POIivTxCx8E8WSXJPKta0zz18M08ZI/IPDXlszwina884Hm9PH78tTwDm7s8+BKwPDs/ozyWbJ087zOjPIG8sDzFU8Y8l5i0PHp3rjzHi7U8J+q8POzwzDwvo9k8fs/EPM1UwTwF28s8ABHBPHIvxzzCONE8ml26PBZPwDxyNcE8NsilPCf5pDyvras8q/eiPK/AmzwFfJw8cKOdPOYwmDzjWqQ8i8esPHV/rTy9zrU8Fs2uPLXtrjwcENU82m/QPPZNujyLOrM8sRSwPEXkxTzq8r88YkalPJHgszyIn8g8xkrJPDZLvTxsAbk8Soi/PJt9xDwEFMg87AfHPCcs4TxfDuI8iDHSPDmb1jzU3ds88F31PPoTDT3de/Y82J7aPAod1jyXJ9I8hKXJPBohwzwTd8A83Ym5PECHwDx1aMc8IYewPKMDqTzZ8ac8O9GvPGWMszyS9788QYbHPHj9xzzq9bU8M7e9PFNWujyW36I8TeiWPCMwlDzIGpA8beqQPMCXfjzYqXo8k1CSPKlCnTwzQqw8312cPNH6oTx1vbA8p+bJPEuhxTw19Jc8gqKdPGuXpzzTRcM8iEDJPDan0jxHR7g8qfOyPMzStDxniNc8rkHiPHk72jy3E8w8Iu/APDy5xjwh07U815m0PLFztDzSKqk84ZC1PKF3qTyDZ5M8Z7GZPBwmmDwLspQ8BmiSPE1KpzysPq88fLasPDNbtTxyGKk8PSu4PGeXuzz13648suOrPJiTtDyELrI8Onq1POV5zjw0U8Q8+R+6PL9PwzzpPs88KI7qPJh11zxlVeQ8fhLqPJQQ5jzXz808TBTKPDJMwTw6OLs8B8arPJvipDxJ66o8OF6zPOUUrDwftLY8G6DKPPbD0DxHnO88LCv9PPgI/zzob/g8ilr2PP/oAD1w4AY9ovEAPQ6B9zzT5QU9UqgOPRgEFj1aLwo9NC35PE6LBj1n7Ag9ro4RPU1IET33SBE9iYgKPYGy/Txtmvc8BAoKPY1bBD2SyAU9QHEPPUIVCD1LnQU9DHUGPUhkDz13Fws9S6cNPaWCBD14egY9wCEMPWJV9DxJwgA9agMGPR8hAD0MGAA90skNPSmfED2Jgg09RrAOPZgCBD196gI9DncBPV0AAz25Ogs9wjELPWaMAT2b//I8oloBPXf//DwrlwA9XcntPIhM8jztIwQ9rOQNPeGZCj0P0gk9V2QQPdJRFj0txRM9tCclPVRiFT2iPxM97UEaPcaoHT0FYQ09TSgIPZQ9FD2UeQg96REHPa2YBz0PeBI9ZP0SPZ7wHD0Dph89tMYOPRXLGj3s7RU9r5MMPUebGD3wXB89H7QYPfjUJz2aJS09gMYcPZpnCz3DIhY9kQsiPUA4Iz1wtDc9A/AtPZDvHj2VJiA9d38hPWFEJT1xEhw9C6UXPZRzCz2OpRA9oRMZPWB6GT0nrBI9gSIVPUS6Ez09aRQ9pPAePbIGMT3X7Rc92H77PH6k6Tw6aQM9f+UTPT4s/jwa9N88gGfcPNHeDj08fBc9VDMaPXM+Hz1vEw89OwXrPDkq3zwOvQA9jBULPYfPEj1s1gc9xroBPRdv5TxRgOo8/tjnPA29yDwjJ688Bya4PMUSvTyxy7s85kq7PH31yjyMZb88b1qYPO3cjzy/Zaw8SEXKPDNCsTya34k8SlpqPCQagjxRdI88Kk+bPIKgnTyxYpA8MzSBPMY+ijzY9Zs81tiaPHyumjyxBqM8e/SWPPx9kDzmwJA8bkiNPG92lzx116I8B361PF9oxzxfYdI8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/j5sUPZ4SfD07ZoA9WsF4Pe84aD0q92g95wV6PdtyiD13OYQ9mKGYPR11kD2WGos9pqmHPfNLYz2ueIg9IW2SPdoDlD08poE9y+FnPbpnjj136aM9+1SiPbVNnT0kaZ89vnySPU6mfj1Fq4k9KNqAPXHSfj2Vu4Q9Z1FyPUVDXz3B7mE9tGpgPfj7bD1uuWk9Av2MPZbOej3isG49xlqBPTCklD2fwZU9PdmKPT2mgj0QUII9U92GPXAyhz3IspQ9CtCLPcOjkz1jGok9QL9yPdLHcz2TOHM9G3+CPfOqdj26NXQ9DfxpPbFxcT11dWs9KCVfPTGAVz2GilA9MfpPPVq+dD0+dnU9MF9vPQGLbj144GY9Z1RePTqpTj0+4mM9Q/NrPZykYT1+rEs92GxPPV1vYz22LIM9DJB7Pbtzaz0n2Iw9bISfPXAPgD0skGU9GYVsPYrreD3TmXs9ri1iPUKZTT0FSFM9ce9uPbuoaz0rH3g9iQJmPTaoaD2TnHU9hXuIPWNsbz2ui109Cj51PZlhcD1s9no9B3JqPX1NWT3paGw9yzZwPe4DYz0minQ9vaeHPTAEhD3o1YE9GGaLPR1wfz2GKmU9NxpbPcGLTT1pn0k9pnpVPflTXz1skV09h+JdPQwqZz3Sqkg962A9PRcYSD35BUY9b90zPVQ5Nz12CkE9liBFPatnaD09S3E9o9FwPfHagj27mYM9jzOAPV4deT3X6nQ9wHpzPWD/cj0IJnU9I2xnPftAcj0qBIg9gOGMPfVSgT3322w9jatYPaduVT0m1zs9X11DPXhESj1qGFQ995FRPaL6Yj3sXVs9RfNSPTkUaj3yNmk9lfpuPedEej16ZHc93uNXPeysST1zSFQ9I9g/PfjcOD37AFo9dhJhPQwxaD1HTl49JzRiPZymZD1StV49xqFhPeyATT2osj49S4dAPZVzRj3IiUk9xkBSPTFUSj2VM1o9gXJ1PVXrbT0wM2g9x+10PTApcj0PS109MG5qPRnBcT20t4I9u5uBPe88bT3QNFA9UDVbPcZFUz3ayWE9YW1ePY/Naj1sG2Y9ESVaPQ+KVD2nYlE9hohlPXRMcD3bg4E982J1Pd09YD2PzlU97MhWPS+RXD3zu1U99RdtPVehbT06x2U9z8xWPUd/bz3O44E91tRxPSkGfT1vxms9LqthPWptYj21yU89YuFZPV0WWz1Ml0c9Kig6PTv4TT3yC1c9AHU5PRF7OD0e/T09B7o3PdsPMD2qASI90konPZO8Hj32Txs95n8SPRqKFz2HlPQ8Idu8PGfjuzyy5LA8A8K9PMeVvTxHC9U8zQnJPNtbrjxykqw8EO7tPNSP3jzzUbM8P2jKPKmJsTzk96o8JxnRPPqJxTz9m7g8HYLRPDABwzxcQco8Q47BPLQcvzw/V688kti2PJc+yzyFG788ZDnTPI8w5Tz3/8c8YxbtPDY1uTzWP7Y8A47DPAWz1jz62c48TsDPPFy9uDy5iKE8E1KvPBAbwDyYpro8EEy+PDecsDxiVaw8KKOqPPn2tjwaBcU8U13DPP8qwDym3rM8jzWcPJlNnjxAPaU8zuCzPJvFyjyXbsY8cDvVPFhu2jyUUNA81A21PAZ4rDxFtaU8maWWPJ/esjyQW8M8+MOxPCJTuDxmNro8LeWiPCIfpTx4BLU87njHPENmsDxiJrY8TZW1PL7DsDwsQL086z/SPJNp1zzmz9I8jcjSPEeBzDzOh8c81hfNPGp52Dw769o8ZhvqPGZR5DwNIL88sMnQPABlyDy+L9Q8fJ3dPJoE0Dz8l8o8LWTPPNEr4TzAgOc86IT1PHuTEj0Z9BU9VUwCPbM+4zxoQOY8HafZPHbixTymjqQ8KGmhPANPsDwdEcQ81CXHPEdKvTwLYrc8Bhq7PJLawzyqSLY8KditPA/Zvjxcdqg8WJShPILAqzwzT548UfmZPO3rljyyjpI8FG2LPGJdjzxqzJw8yTOqPMXYtDwqYqg8L2mzPJVZxzzURcI8dtbEPAEgtjx6H6g8J/KvPNt/rzxytcI89RXLPIRwwzw57rQ854etPFBRzjzNA+08WKX0PIaL6zzEuuk8GZC5PD9dqjx866o8Biy1POeuqjwQ1K88/vy1PBdqpjz6L548oNKWPGGtkzzn7aM8IrWtPB7EoDy7Qag8skCoPPoEpjx7OZg8FdmZPLz1sDxsZLA8pP6uPEGQuzxarq48CBSzPDWYvzxa2cw8nSTIPKdMyTwTaOQ8xaLLPFod2TzD4Ps8pPPgPGXPwDyXlMQ8f8fEPDd/tDw/JZ083niSPDiemDxy66k8v4G0PAioujz9DNE8ZzjZPDVbAD04kgU9eyUAPX4hAD145Ao9XOEDPT+m8Tx0pAE9qIz8PImT8Dx8tP48eDfnPCJI7DxWFfM8yYQFPfStCz2fzwg9OvYSPaR3Ez2Yuw49m+URPSQsHj3uwhc9p9cJPVvOBD2P0OQ8zbvpPLMP7Dz6veo8RBUFPU0TDD26uBg9yjIRPREo+zybofo8m6sAPR9/7DzfEfc8X8v5PCRr/jwDpwI9/g4DPaQu/TwJxf48IhUHPRiWDD1dSw49OgkDPTjO9jyPWAU9uPwHPW1TBD1jRQA9+MwHPbdK9TzspAA989r6PDpU6Dxo+P48WM8GPdmmAj2H0gE9b7ERPTVoFD2X8RM9aOsePSBhJz384Bs9f30bPUUEGD1jqwg9y+YDPcvIDj2jmgM93CIFPR+KBz13oA4936ULPYy/Gz3Q/xA9Rc0GPV+oCj0t1Aw9RikRPaSKET0edBA9NzwZPQmcGD0uLhQ99yQhPdcTGT2t3R498e0rPY1pJj0xESg9+6ooPSY6Iz3asSQ9ObYcPRXJHD3HCzA9ayAvPZu/IT3hix09S1wgPaEtDT0B5xQ9XAoUPbvMET0L8h09JoEfPU2JIz1InBk9EcUMPeYQDD2LSQ09SXoKPbMnAz0WZfo8Z1TwPBZJAD0yeQ49XloYPZX+Dj3bowM9a2j6PJsdAT14//88FCX4PEbE6zwNk8M8nObQPDts6zxuk9M819/TPAH21zxs57Y8UnCrPH1opzycB7M8C1W2PGRfuzx3frQ8ohCiPO2DqDyIOrc8H/imPMr8iDwCIlg88XdQPK6Vgjzpz5Q8jE6cPIhaojyQIJU8whiPPEBTkDwCX5k88DKOPFOmmDx136U82uWrPIn2sDzXwKU8C5CfPB6/mjzouKA8sdSyPPJSxjxxRNY8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8W1+g7+5kYPb0mYz21vWU9TDNjPSqeez0XhX89yAaDPRXTlT27o5M9gkSWPbvkjz312IE9NKVvPcJofz1yiYg9TAGZPULkkD14WXc9NYyPPTyvnj1R/5g9fsqNPaf2lT0bw4U9faZ3PeOHfj2/pYw9meqQPX2ziz3xRY49dHB7PbPadT0a3mo9eb1iPUzZYz1BLII9M/iLPXODkz3X84k9jMGNPRmBiT0Rh389JNCEPY/8ij0ErZg90iWSPcNhmT3kvpM93rGKPQQJkD1YiH49AaF2PRL6fj2iG3g92wltPSUDUz0DVkk92VNbPeVxgz2lDn09fEVmPS0GXz3FY1k9rdxUPbnsYj2zv2w970xpPVTndT3pgF49vvtRPXt4Tz3FXEY9MYQ1PaiKND0gokM9JeZQPQZlaj2WUXs9bByAPR2pbz2Io4Y9T2aZPUnmhD3lrF09H7NtPfldXD0hzlk9u0FpPfTCbz1if209+aF0PSJQej3xLVs9dMZYPZ7baz0Qpl09Kt9XPSTLVT1T2E896IRYPXWfTT3glU89tsJcPfm4cz16AXc9s4VfPV/XVT1dmGw9U2N/PV03cj1nuoI9w6iFPSeoaj2VeGw9wdpNPfQSRz2MWlQ9+AdfPSDCZT3ZgmY9knZKPalSRz0e3D09Z9IzPaYdPz3BAEg9YYNJPZ/PRz2gkU09OShGPQXbVj2aDl49R7dIPe2BWT0zw3M93VNzPe+maD0p8Fo9YtNNPd4fQj11iUA9gIpOPYMydj3bQJA9HDyAPSDiTT0Qazs96Ns/PfcyYj2AxFk9vphHPUXMWz380VY9aXlQPfYNYD1VLV09H5tbPcsFcT3Q2mw989RiPdS/WD21ZD89uW4xPRpyLz1AwzQ9rvY1PfUjQT1Ld109Gw1RPYQpQj1Yg1w9IDVaPYh8RD2erl49W0xQPbcsRz2z6ks9O/dfPT0IaT2/Nm09pk9hPcgbRT16P1Q9Kf5uPQt9cD173Ws9rlJkPdRtdj1U8Hw9o0xqPfD6cT2wG4I9oWx2PSV/VD0sO1U9uB1lPczZdD3+02Y93rZjPWVOaD3bn2w9u7FkPR5Oaj11sWs9xIdqPcOqej1IEIA9hL9mPduKXz0y/Vw9MvdiPd2QYD0om1Y9wZJUPZJ2Wz1rSEk9KwxTPV59eT1yNoA9pXWAPb7DeD149HA9IgN3PWq+dj3cGV09VgNdPbLFSj1lLzM9k0IwPUh8PD06xEE9CWRIPbFSTD1KmlA9Zj5bPTCgUD0XlzY9DxgZPRO5BT1duug8E9zKPPG4xTw3Zcw8DC6zPKdjzDzBorw8gQrGPAHztjwE+bI8smWwPDUuwTyBe8g8ujy/PMFCvjyXl8g8N2bUPEg01Dw1I888B/LDPMPYsTzvzLg8q4PFPG0KuTzLC8w8jGfQPMK6vTwDEcI880nHPD5ixjx5YMI8HwvLPFecxzzKF9s8arfFPClPszwiwcg8e6XEPDnr0Dxg1No8OurEPDPqyTwLv888T4q9PGJbuDwc67Q8S9bBPIjIwDxTObw8HJ3APJS2tjwuwLs8mTLDPOCyuDyyELI8lfi2PAP7yTzujLg8AGa9PEJ+zDwXQts8ONDOPFIExTyS67k8Wr2fPHuXtDxGDK48KT6aPM//pDx7lbA8qIefPI9orTwoB7Y8Yp+5PO78xTw2O+g8vfThPPUg3jxo09c8Xg3WPFwu0Dy3nuY87dbePBfOzTyra8o8vfi9PDizyzw/jMo8/JHjPIvS4jyOadA8cJzIPFA0zjyId8k8rmHaPCW65DyRmtU8OP3SPJGI2zzmYdk8IQbQPGT82jwEtNw8cD7XPA7+6Ty7xtY8tge2PKJ0vTw76s88MCbZPDWivzyeQ6o85bmiPNbwpTyKssI8wQ29PIm4uzxPps88fbvgPKxuxzz2IrE8+iihPKHXmzzHA5E8ROGfPOHErjwjgJY8x9qLPPJsljzE/pc8KUOUPJ8dnTxYIqw8Ds6oPHbzszy7ncs86SzMPH7G0zxs9ds8iULbPFEt0zzJleY85/XjPBsBwTwVkbo8lBzAPGCuwjxBtMs8S+C+PEc+zjwyhtE8VxPfPHdn0jyG7tE8wtPDPDFwsjzgO6k88uiZPFWgpjx6gqs8noK1PIYnpDwGrJc8RM2YPJvwnTxygKU8EaWwPERpozzUJp88mpqwPHwAqDzVXaA8W/CiPJjHuzwp2MQ86fPDPBeAyTz9v8o8ksXRPE/f1DwlAdI88CndPK2C3DyoIc48B1fePG/d4Tyv6N08zgPjPPYQyTyv6q88d6m8PM/PuTxeIqM8CESnPN8WuTx9Uso8XLDLPAsO2zzk+tY8ZYL7PImpAT2aYOw8KQHmPP1v6zyZTQA9xKwNPdi7ET0OMhM9sLYSPaR2AT1nKA09O/0HPQHY/Dx2tw09NOsPPbJUBD0rABA9ywcWPYl5IT0xWi09azYePVCkGT38+Qw9/G4DPX28BT0kNvI8TvHxPM125Tw9efY8D3D9PNQTCT1eXQY9sxr0PNeP8TyoaeQ8KM/lPNd54TxMYeY83iv2PEjbAT3C6/s86Tn0PKhY9zyfLPg8Mcj0PI9ABD10Cw49Q1T9PGvh7Tx1Sfw8lXEAPWMCCT1QOwk9Wfr9PEjJ/Dwkw/A8eoDrPM7c7DyFqfM8s1cIPTRqBD2uxe48QYb1PCk+Aj3SIw49QiIVPcoNDj37ugc9FeMOPaDjEj18UQg9m58CPXC4+zwjVAI9rgwPPRtuEj2HVgw9OfQWPU3XET0DZgc9aOkMPeVnFD3p2xI9wsAPPciJEj04iRE9bnkSPX8eGT39CCI9qNEiPXc/Hz3hhhk9FZsfPfe8GT263SQ9j/4jPST0Hz22TiA939g3PeZTKT2G4TA9E3E+PVTuRz3nFTk95B4mPQ2rHD2ZrRY9qdINPWhOBj3wXxE9SzESPaSOCj3qov48mdkKPYFMDz211g49ABr0PLPO1DxkAew8VA30PCEHAT1VoQw9NB4DPRy2BD26uRI9WHYQPcov+DxpmOE8myjfPPmdyTwSFd48Me3bPPqUwDxq96s8cu+2PCKQuTyH/rY8VhfAPPfZszxdiK08M5ytPPNDtTx/ALQ8AxK2PNTptTzRD5k8TuWDPPRLZjxgc1g8r2x0PMaZkzxIvZs8g+ONPIkshzzTbYk8Z0mSPNpglTxy6Zc8paebPMTDnjxhmqk8H8qfPC4Emzw4nJo8jo6fPB/HrDxCK6w8H8OpPKmYnTyZQJk8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9To+08M707PWaLbT2nbHI9dCFiPRkFcj2+GpU9qtyhPQgFkT1c2Is9Cg6TPWlumD29/o49iMqKPWu1fT0NMms9L1x8PUB/hT3EOJE9VReUPfZ6gT28jXo9qK5zPZY7cT2zRl89vV5oPQkPhj1hzI49FhyUPWUzjj0VFn09lKpiPaXNaj1osl49FQ1yPfhlkj2ZdpM9AKmHPcFqij3W75g9H/+ZPROwij1UnoE9vTSEPYtnjD1/mok9YPR/PZWCcT0r9Ig9QmmHPegvcz3EzGQ9Z8RrPUuVgD0F3m09IX1zPbawXz3WPmc995F3Pe5XjT0NB4A9MvVtPWvGXz2sBk49ZJlYPdpWWT3KEmI9LjBfPRNScT23U3U9/EZtPSbNSD1X50U9fi5NPfRVTz1QYlk9NZFrPSqugD3NGoM9eWN6PVP+az3/yHE9/kN/PcSSdz2ZG149bcZ2PaomfD1+THA9apx0Peovez2+iHw9t4xsPWRSXj16lWU9PxNnPZx+Xz1Z82U9y55pPcGrYD1Kllo972BMPcepYj2x03E9smtYPcTCbD1AhWU91nFHPZJDRT0zw2M9jStvPYzLbz3yoIE9ObKJPd23dz04/mU95zxmPRtoWz030209m5drPZd1SD0xYUE9HEU0PcKVSD0idUs9yE1QPZDwTD3Tnk49TQBSPduPPz2d1yY9weIrPdlUMD1U30A9rnVNPb2BXj2u5Fg9oj1cPYkZUz1dRUY9dVI3PTqtNz0s9UA99TM/PeeXYT2xc2Y92EQ+PUUkNT0Sxzw9g75MPfmBXz0CQ1U94sNWPRfvTj1ygWk99yx0PdK5Vz2xnUg9r1tIPbocQD0hMjQ9gc0rPftNNT0t2Do9sYtFPVpoTT26l0Y9u0dBPbbrQD077EE9yTlKPfPkVT2uYlw9pjdPPX2BUD1gp1A9xSNUPQgbZz16sWo9UmdwPRllXj2T9lc93w5UPX1PUT0UEUw9DJ5aPR64Xj1kF209tl12PXlEdT31pYQ9ydx0PXNHaT1jmmA9UypRPWRFQj25iT4927VzPbi7hz2UdYE9TDN6PSnQaj03ynA9QwRnPVNuWD1w0Wc9YgCAPYe4ij1ytnU904hVPQqpNz0Xikc9+DZXPRNpXD2sfGM99NFTPU6uRD1hwUw9BP5kPUZMhz2zbJM9fmiMPQ0Zjj0l+nc94B9cPZlgTj32ODY9TTBGPZalQT0wvCM99aIWPZVPFj0+fBM9pUk0PTRQSz3h4SM9bKANPe6zCj3M+hU902X3PDD+yzwzUtc8tl/DPNexuzzDdME8aO+uPNuQyDzRwr48hti4PM8hvzz++cY8uQjBPKv8yDy02cc8oWm0PN9Zxjx9WNA8INfLPDIn0zwoL8M8MtfGPII1zzwo67085fvSPEgZzjzT5dI8dHnSPJ8kwDycO7w8HZCyPOUttDxRoLU89ZyyPFBkxTw6eto8hva1PMZduDwA/sU8XgnEPJ1y1DyX/c88IW/KPBrVyjzsXso8igjAPOST0Dybssk8FzfJPJAEujxqdrE8ApzJPO+dxzwrJ8Y8o6jNPGL62Tw5WdE8AlnSPG61wzwX7a48K8a4PMx+sTzDjLU8A8qePOCOkjwQy5s8wTugPINepjxPTKA8q8KgPLZomzz0EK88W9+uPCeUsTyT5Mg8ShLdPNxO3zxodPM8mHkKPWgk/Dyfgt88wrXdPAAF2jwUYNc8VhjgPLFfzzznJMo86SfPPE2G5DyYTc48k8fOPNvH0zzcH8U8vknaPCbI7Tz5Juw8ro3rPOC85TzEXuA8jqnSPBuIyTww/8w8XXrMPAzFvTw7Zrg89jipPCJvrDzL6qI8oQmwPM+mwjz9MMQ8QKjAPP2ttTwGesI8ZZLBPON5xzy47tk8XrO4PERQrzzPurY8xIq0PAoKqzyMzbE8w6OVPLcFiTz+jYQ82AePPNHbkjwvrZg8mOqlPJ4inzz8Jpo8UbqbPKZ0mjzPs7A8HkC6PDUq3DyIO+08RsjVPMBJ4jxryN88W63qPAR8CD1lLvc88Mm9PMyeqzwJM7M8l63KPPdzxTzz88Q8lU7DPCFswjwXcNs8uKLjPEep2jzaXd88wUe/PGTvqTxrnKs8onmYPPKEmjzepqs8ADGvPBtSpzzYSZk87QeZPBk7mDyuOZs85vKoPPNlpzxqmbE8pbukPDlgpDxF96c84j6wPH06vTwaGcM8PuTQPGxr3DzTmto8HGjUPC9OyTyHTtY8ALbrPGnl5DzzWs08MsbNPMso3zxRJMo89g28PPDVujxLAKs8VVm2PLpcxjwaXrM8cjDEPKlOxTxSrdI8pC/YPND69jytr/c83MXiPEhI1jyXAuA8iBPrPMOGCT1Bugw9vh4LPR2RCD3Adv08X9gDPeGv/Txb/gk9Cx8KPZL5/Dy7NPw8PUsJPbLhET2CBxQ9zf8iPbmeGj1hxCA9QsQdPZIFHT1HcRA9qysAPb33Aj1A3QA9BUTlPA4N2TzPYdo8tPrwPJB9Cz1ILgs9U6IBPd+C3zyHV/I8TREGPa2V/TySzgw9JRwMPb2NBD0QYQI9A2j0PN0O+TzafgI9TQAEPfwx+Tybgv88XXP/PHeQ/zzSIw09xJkAPYIfBj3kZww9BnkHPa99AD0bne88GJ/0PAAo7jx6du08GL4APS7f8Tx7wuo8OgP9POw0AT3/Ig09FEAOPTNYDT0CFQ49WKgCPVB/9Dy0dfQ8Bxb4PEHt/Tz1kgE9Ud8SPYZxHT3rnQ89ey4MPQJyDT080wg9JIYLPXXxGj1L0SQ9bkcrPexNKz0sOCc9WmYoPWcfIT0foCA9KWMYPTu8GD0n2xU9GSMUPY94ID3ZOR495oooPU3gGT3haiI9vWoiPS3BLz1mAy09yjISPRYHMT197TY9r98nPagIIz3Cvgs9Pbb5PAJWCD2OsRQ9rLMLPXEM/Tx7FwE9ZScKPaRQCT2YwAQ9G4TqPKt99zw0qvg83CkDPYYhFD04gQY9exj1POrFED2gHhc9KQYGPTBV5zz77vU83EDtPJ9B3zyjAOc86tfPPPxHyTw7abk8Hwi8PDLTvjyJsL485MWuPE8/rDznW6E8FJavPMk3vjzKa7w89AqtPJmokzxmVHU86MptPBm0fTzWt5U8pVmgPF1jpDxK5pA8T+CHPKdahTwdo4k8lLqMPIQUmTy+I5k8q46NPPsemDyq4qE8Wv2bPH/6jzxtIJY8eRKhPBp1lzys8ok8pRCBPFXlgTxLcYE8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+5Mhs906xvPWyhhT1j1ZA99ZWQPe68gT2o/oU9P2mHPVrEkT1t/o89KoySPRoomD3sT4s91JZ8Pduycz0+iXQ9NWKFPd6wij0oe3o9TT93PcWygD3ifIU93xqAPQIycj1ZWIQ9vbiHPemrkj1zp5U90hCKPaZFaz0i2Gs99MxwPcJlej0aYHc95Xt6PVipez1YQ4U98U+LPSagmz2czqo94+qXPXvljD1elok9DTGNPZ7MhD0hNHM9E0xnPXTIWj1ztWc92SFdPWX4bT1CfGs947FxPZw0gD030ns998x9PXTaZT1z+m090m54PTTBfz32bV89615UPV5IYj1AmVo971RfPUNOYD1gxls90H9iPfRLdD0Zi3I9UVJWPQbbPz3/vzw9rAQ7PX3kTD2CK1897LhePdR5dz03h4E9Zx6GPSCBnD2Nq4o9/559PTU2bD1jc3o97smGPS8Ygz1HU309GuWGPfbSjD1QWIc95b5yPUylWz3B23A9buBpPZebYz1f2209XEmGPXXJcD3+rU89YGNXPfyqaz3m4lk9VWlQPXPAZz3zEG09mnhpPSCagD3u7YA9Rz9/PR+Gej2SBow9bp50PYSMSD3koVQ9FolvPXsFXz01XFA9Z/tSPUWPSz3mmD09ky5PPbr9Xz2NBE09wvBEPRYgOj3IuEI9K7Q2PRhvJz1KVSA9RboVPZc5KD2eOzc9tIY0PZWOQj2Fh0M9eipKPXk+ZD1DNEs99tQqPZkFLz2I6EM9VYdWPQFoWj0AeUQ9Ml5UPQgLXj3OblI9FaJTPYMabT1SwWw9GIZ1PaIYhT0ZrWU9liZPPWx/Rz3/WEQ9a14wPZ8WND2Tj0A9K6I4PYGcRD12LFw9xdpdPRIyYD3MclE9rro3PUGaNz2DB089CO5XPeZQbT2PUXA9381XPdyXXj1Y5XE9Bg1pPcpUYD0Fl2U9uv5bPdqiZT3iNWs9dqSFPTaPgj37RnU9r6VuPZFdcz3cKnM94K6APXI2az0KdHY96lFzPSHkcT3BPXI9ROZgPbQlTj2FWGU9NRx9PSmVhj0zgZg9nbqKPeASiz3FT3M9AzhoPQSxbD1+rnU9SCR7PcQ8bz2V1k49VxxOPZu/Vj1oG1E9RndbPT38XT1xk2c9YzFmPfr4XT3WYmI94v6EPUQfjD2WKXk9vD9/Pcazfj3R0Vc9XlclPdieGT16dBY9IjArPeztHD1boQs9vdHzPB9CyTyqObs8fIzBPNocujyAk7M8gmqzPO0fyjzHqcI80ze5PMa+zDxUZOg86MPiPOattzzXpa48b42wPJ1FwDxGC748cievPGTXvDzErcA81KGmPL/VuDyRfsI8anmnPNnHnzzEObY81d3CPGqytzy2/Mc8sE3XPF1DwTw+g8A8S3SrPOCxrzzo0Mk8cVa+PF8ztDxgKLo85NXTPB5dzjwyVr882Fu5PN7Xvjxd0ds8b7HXPCq/uzxM3bc8zYjHPNqD1jyGIco8v2zGPHBBzTymYc08+TnWPJG60Dyvo9g8KCzBPOldsjznIbU8Me/BPP+WuzyKoMU846bAPJhJwTxB7ak84a2uPGOQvzy+xLU8ydC7PK1SvDwuNrE8IiKiPFbTtjy15K88adSjPPierDyBGrg8S3e2PIvZtTyL9M484mbGPG6bwjyr9788qOrmPL3zAD30dRE95gsPPRe37TzJOdg8bYLVPLFqyDy+9Ls86G6oPGwstDxUOd48yo7bPJC8yDzpGMk8rZXGPLuSwjzOEsQ8CGXZPL623Tz8tuU8Kcf8PJyi+Dy639E8zgvKPJYR5jw7+NM8Od3LPM4avTxbXrE8Z76oPB8YoTyTa7E8k/jEPPOmxzwKqcA8JKi+PGSFyTyFsb88CQHKPOCKvTxmXLg8BNuiPErpoTzz0KQ8iVS8PG0ktzw7EaI8fMecPPlTkTw5aYs8ChWiPH1vkzy7e5E80Z6oPBZqpzx30pA86M+MPDfvpTxh2sM8TAXpPAc96jwZ5Og8EDDJPG9vzjw8/tA8Gr7DPAQlxDxUC9A8fofBPIittTwQD648auqtPK3FwTw2tr08jJzaPFVp0jzIfMc8wVq0PFb8uTxRD748wGO0PF9bvTxE9r48eYqyPLuOqjwxop88176jPKsGrTw//q08TQ2zPNHMwDw7brE8yRq2PI3BxTw058g8leutPHU1njxuR6o8L7uxPGVswzwa97k8Y7rNPPqe3Dyha9s8YlnWPNUw1TxbRfE8I6DxPF1n5TwHl908b6jZPHqr3jwSdtc8J4rQPPQnvzz787s8oR24PA7psDyej7Q8bh3NPEiF0zz8Pds8fnXlPP3R8jwgOuY8N/biPL9u5TyANuA8rLDvPLdE/jyQeOc8AZr8PKzj/zxXv/s8mLgMPedwAj38XPk8pHXxPFb/4Dyut+k8K+cIPb/UFz2mYxY9288VPU+LEz0XwBU934oXPSzFBz26pxY9uokNPbho8TxUz9o88sHIPILQ6Dw6r+487hf3PK39/TxZjf08/e3xPHPW8zzhb/A8k1rzPILc7jxEBwE9Vj0MPeZjBD3y5P48MhYRPRDKEj0WCfs8vrruPFjV/TyUu/s8bycEPcaNDD2bavI8393lPHhr7TyuMes8CJ3nPDpE3zyheNg8HkzkPObq7jwxBO48WW/9PA9iBz12aAU93xAGPT+5Az1B1AI9XjgBPQCHAz0UWf88/jb4PF9q/DxzL/s8Dm0GPaJIDj1vNBA9BfsXPWQMEz33qQ49YvwXPd+IEz3AeRg9hgYoPaxrQD0pXj49QmIxPSWWOj2xOUE9oYo/PYCcKT3EPhQ9wEgXPbHYDT021Q09rxsIPb6kDz0HmRs9h68UPWMbET3Wyhk9CcMkPW2vHj3tdho9adITPUjMGj0RvyM9YgMZPeSSAj0xjwg9bssNPYW3DD0JaAw9Bgb/PLDsAT1buP885owBPXTLDj0B5wM9hFzoPFFo2zzoLek8oyPrPKpd/TwLD/U8Ucb9PB2NBT3+/Ps8PEDpPGjK3TyApOY8ipjXPExw5Dxglec8MY/HPOKJxTzuuLY8NdynPP0FrTwl9Ko8BHulPF35nTzx3488FUeIPNQ+eTwF0pQ8gbSNPIoxgzyKtns8Ir+BPH+Dnjwe26I8we6TPAHdiTwmgYo8QAqPPByZnjwxGZs81iKOPBz3jzx9fI48W56MPEB4mTxipJM847WGPNcmjTz3kYQ8DzNmPHE0VDwvj2o8teRgPFNPQzy6Iks8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyL8AzxYcDU9SICIPUfnhD1ulYQ9IxeBPZCsiT0j8oc9cpR1Pa23bT2+GmA9Kml0PUUxhT3M4Yg969N8PfQ7hz0pbYU9eISDPXQcgD3DonE9/6V5PaSohT2hT5E9KOaRPUVQij02lZQ90t2QPWnjlz1T/pM9RnBxPXN/UT3y60499vZePbhWcT11F4I9Bs6QPXGIkT0gS4898oaQPYKQkD3s/4A9Qh1pPbKaaj2biXQ9jLiIPXIBfD3EI2o9aaJjPb9sZD0GHoY91KeMPadRjT2A7I49n+SGPRkffz3umoA9ZKOGPV69eD1fW3g9k+1fPVL3Wj3re0I9img7PWJzVz0q51s9Ht1FPV05Vj1a4Fk913plPc36cz0Pbl89Rdc1PaY4KT0MrjM9Tfw7PU1gYz12+IA9JCeFPU9Bij3moIA9bTF/Pa57fT3zmmo9PflNPe8rUT2LmGA9MdRYPS8kUD1o6X49HgWOPYXwiz2Ba3095rNtPZNxcT32/2k9nNRhPfUigz1ZfI09a5mMPQXDeT1Sk0s9jCtPPaAlYD2psm89ZlCIPdhBij2NXGQ9z+5YPSd2bz3wxGw9QBJYPfnRUz32l0Y9ixE8PXeoRT08J109xLRpPZkWUT2KIWM9y3pdPfZkQj0+slc95VBbPReDND3nACA9T+oqPSrqID3UcC89PhE2PcvtNj3qAUQ9a/1APSfWUj12KEI9yq5DPc5uTD2F8Ek9VvlVPRMOWj2OcUU9kXtEPX2oST3f4Vw9CnlzPUqPZT16hmA9EY9kPSCQaT08Y2Y9eYdnPUYiZz0JnVo9OExYPbwQZz1uD3s9JQ12Pc2JXj3v9k492GhIPY9NUj3M20Y9mRs8PcXSOD2W+Uk93VhNPYKcNz1QaTk93+FCPSi6Uj2sq1M9B2ZRPaxjSD06cUA9qXZKPT9eTT2o3F49VjVvPQ0veT38BHc9Ndx2PcoMcz1FX4M9up+APW1ShT2ovo09ogCEPdj6hz0ysXc9NjdzPfW4cD1KU3Y9CKOAPeCpYT24x1M9Dt5gPaUAbz3eS309wld4PbqMhj3Uq4o9zvJ2PSuMej1et2k9G49NPeS2VD3H+149LUlnPX+7aD28Plk9TdR3PfOxfj0MCFk9eDthPT1jYT3qZHo90LhsPQJkZz1GRl4964pjPQ/3YT0KWl89JwlQPa+zMj01Fik9LfUaPZC6Dj3NRQg9vFTvPHL75zzrUe48xZzKPP5dqzyut6M8kwquPFSPoDy3tLg8Zi26PMtIvzxDDsM8SivLPMJGrDz7NMk8k7LjPJ6QxzwaE6s8rgO6PD51rzzY0588IaCuPH/xxTwh4eM8hXjAPE6mujxRYbU8S5SiPMZjmTzwyqM8PULBPCG1zzyTXsE8Ey+5PHoIpTyXZqg8RzmmPMpnsTzTt7k8/K+4PIQkuzxbRNM8tyvWPI7Hwjx9q888SI/SPBabtjylG8A8DaatPG/Hszx5d9E8qvHUPPJr3zxbbcU8hM/KPCLnyzwiXtk8sLHaPL4+8TzbiNU8OPW8POL6uTzhFcA8z6q7PDvntDyQRKg8vOefPKnjlTw6CaY8ea+yPCXdxTxd4bA8O368PA0cvTwthbA8fCK6PII3xjxlztE8e47JPHuzsjzjybA8HLm+PJidzTwty9E8v2nSPGlXwjwAFsw81cDhPLco5DyNnAY9mJITPTn08jw2Cc88JLyxPHvDrjxaFbg8xSm5PJWMyzxROs08X5nQPDBGuTw4b7A8g/7CPLr8xDzagNA8CUndPC1O8DwTx+Y81snOPOInzDzaJMA88v60PG9dyTyhzMY8DXbRPIsTuzzyFaM8r3utPOCbsjzPa6886lC0PA2RyTxpBcM80gzKPNVc4zz3mtc8DyfVPO9BvzzQUr88ooKkPDBvpjzGfac8O8uTPBTOlDxze5Y8ruyoPJGFnzzKgqE8QbaqPD2LpzzuTb08g0TVPIMSpzwZdJw8zfCbPEpBnjyjfaU8ftCkPKHSoTz8Gq88VB+9PEmsuDyC8KE8PuOhPOpuqzwPFLo8BOSxPALWuzy/V8w8ztvaPPVz1DyxosE8ml69PFkYrTw3D7E80Ta+PGG9uDzhYMQ8yBy5PO6opjyb3aY8tTqsPGr1uDzhxcQ8Mj7EPLqYtjxgIaM8PqurPEkSuzzHLrQ8r8irPB64pzyuWLU8EXOsPJWnrDyKJqw87huuPDgYpjzD4qU8+9K9PCVL2DxB4dg8mKnmPH1I2TyMLew8DHD5PJpL5TwtW908FVXQPHZe1TzEvNg8u77TPMBM1zzuGtA8dayzPPt0rTxhjsU87YLJPBRXxzwcgdE8AZ/kPAFe8Tz0Jf88NfT5PGNX7TzR6PQ8iZLiPBfA3DxwuNs8P3zlPFZ08DyGRvU8x1UHPUTmCD13MQs9RmP9PIPL5jz1vvM8FjYBPdxqCj2WiAo9Sv8WPTsDFj33ZxU92+AaPcSnDD1lEw49Z6kWPaEh/Tzectw8M6IAPVceBD2LKf08CXUBPRQ4/zxlHBQ9nHMOPezDAj1NnAQ9Lm0GPXjGBD1UUAM95jEGPdKuDj2kIwE93Hf9PJSb7zwvUOQ87QnsPANJ/Dxzruk8k37pPM5I6jxrO9088hTtPN4z+DxYytc8ye/gPHZl7jyvTO08atD+PK1wBj0JPPc8Nuz4POdA+zyP9AY9zNYGPYIACD0sgQo92j4IPe/P/TyPJPs8TzL1PHxYCD0tWgQ9vhkHPaDvBz3XahE938cXPT/KEj2TeRQ9gmcTPVKGDT0mWBM93GAiPbpWJT3i8i09iocnPQD5KD3F3Cs9pRAxPbZLLT37Aho9IL8LPTR4Dj1+Iwc9mW0CPWg4Bz0UbQg9U7LyPGPIAD3SmhY9AfQePapbDT3lchE9RZcNPXwzBj1N6go96OIFPXuTBT35VxI9QIMPPVUeED3Orwo9/EHsPGJ3/zyPgwc9kp4HPQxiDj0p3gI9JNT8PH5iCz0miwo9VRD/PKGy6DzuAOQ8LsXzPGe7+jy+O+c8EaLXPHA15zwkS9Y8sA7TPIdo1TwbP8Y8Ly7CPOS2uDyUurI8bTepPMrWqjxIHbA8tpG5PGR2yDyFP6U8FQiTPN26gTwAenI8mvmCPMmynTyB9bY80SmTPI/kkDwroJM8hWmIPDywcTxTMXU8EWaIPF+MjTxkZ5c8QmWOPBt9gzxFP3A88CpfPDIncTztsGo8wb1mPBYRXzxIZUw8t5M9PDWaPDzpaDk8dshDPNKLRzyKLkk8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6CIyTw01Ds9qZl0PUnKhT0Qj5E9HcuaPUEchD1pfmo9VUZiPd57Tj0jJ0g970VnPc9viD0/Ko89JwJzPWC7ej3HpG09Q4ZmPQjvcj2ClIA9ErCNPZ+BhD0ivI49iP6cPTIdnj3IyZg9cKWGPUBqgj2cIoY93qV8PbOXaT2ATXY9wMuAPeICeT0kY389772NPRU6lj0x+5U9CBmhPY75iz1oCm49z6xkPU+IdD2ZjW89gE1sPXqgYD2cKW89x0tuPa/zez3LGYs9cAuVPcqEnj0FUpw9FjOWPfW1hj1NPHw9yuRuPThmaD3EDGg9nyZRParhOj1KY0A9kidaPUTEXj1B3Fc9TBN0PamgfT3QTYI9vMmIPdNneD1eb1492vY+PYTiMD2IWk49W2l4PdQ7iT3uj4I9iuZ/PXLNaT38MF49cS1jPULHXz29aFk9vy9GPV2GQz2LQkE9RD9XPSc7Xj0Hnlg9mYJkPU5PUD1G1ns9gyOCPd05gz1Mb4M9dwqDPT2bhD3a0Iw91+ppPdd2Qz0JeUU9zSdgPSH9dj3pyIU9XuiBPd7ZbT10smE9u4tRPfdyST1Llkg95QFAPWgIPz0QmEA9IAUzPacLOj0wQjw97CY5Pa4/OD2Z7EU9q6w8PdaXPT2DWC09VRIwPdGEKD0BNB49KxkoPap/Kz2PRzo9ii5KPc6VNj2gaFQ9hvlOPfIhOT3Fh0o9iwxiPU7UTz3R9D09S99IPRpsVj1W3lU90etpPUenZD2a3WQ9n2xpPWG5UT0xUFE9CGxaPawKTT0yakQ9n3BQPSqhVj3EI1o9W9x1PaEwez3rboE9t2B7PTkrYz3PjlQ9xgFXPdL/QD3WIFI9p/BqPW1JVT03zT49vgA/Pf/eWT0O5mI9b9ZVPQ2HWT2KyFU9nk9gPbSWUD3JkFI9tQtsPZyfZz3o3Hc9UVp+PfVVcD3AjXk9CZt5PddTbT1o0XY9gRKOPbtbiD2s8IE9V7Z6PUiEgD3mqHA9ABtjPcmsYT2cX2Y9KEpcPZzhUz2eZ1I9x3RgPf7EgD1goo89s7+EPYKxYz0G3Fw9qx5mPTrFgj0HvoA9xyJfPabNYT1SnWU9J5tvPd6RZD3kFUY9mNI9PcxyVT3rPGM91cx1PW4fdT3/amQ9eqtdPQhzUT03Ckg9sd1iPSkpZj0iu1E9ZYJDPZZuIz0Csxc9sqkBPZzm6jxhKPQ8q1fuPAeVxjy9zLc8abK+PD++wDyyaLI86neuPLontjwRVsg8d+nLPCMZwTzhBLw8xX+2PKBznTylr6w8Fzy6PDNuyDzvM7w8mAG9PLKOvDwkM7Q8WzW+PCJUyzzlb9I8RbvNPF+ruDxTwqQ81K+RPEYVpzysirI8iQfIPFy6uzzVTbU8QOzUPIM3yjw5W6s88i+tPG7Euzyfgck8kTvKPI8exDz9zsU8U2nKPE71rTwO58U8EAHaPBFvxzyhRLg8eLvIPNLFszxR1bg8DabBPIU3xjx/EbA8SgW0PFwRyDzwHsY80w26PF5gxDxwAb88L1W3PCoQsTyjBL48gv7RPP6IwDzTuKY89JqXPHYDnTzxBro8ieK4PNdYuTxPSME8bZDBPAVnyTxQ09k8RDvYPOTU2Dz4m8888By3PDq9rjw/MME8FO/EPMcZwDwrMdM824zqPP821Twv59A8r5nlPDbu4zxXvgg92xYGPZ5e2zxug8I8QieqPP1SrDxVpbw8fqnOPGpNtzyw16k8Vw2jPOZ6rDyrtqo8Cyu6PPKOsDzcG8k8HNnoPG8K9TxJ6QE92G0BPcbL6zyl+9c8AmHOPD290TxHfdc8b0PVPMhsxzwSOLc8FNGwPOwspjzuL6s8wbSmPItqrDwhtLI86lrEPEVXxjySGso8La6yPOHKqDzt1qk8fMWuPD82sTyOfa484iWTPOutgzzkkow8ssCqPHIwpTxHNrI8hTmvPH0PoDyppKY84Au0PBfcoDwtvaM8Lm2iPCYLgjxfD5E80OSYPC8KqzxoKqw8H1CxPOocsTxCc7E8H+ioPEQoujxQdL48MgG2PJWzuTzhBsI8aYLSPEXk0zzcjNs8ANrTPCHnujzmyK08sdShPOTzrzyoM7084fu3PMUDwDzxKbE8BJ2+PLR8vjwMnrY8kS++PCAtvjx3Hqc8zBulPJ3VnTwYtaA8t66wPCEFoDxXkqY8CVqsPDltsjxVzLA8UqzDPNnHuzwfF7k8XJm6PIuS2jwkeOA8YhfsPGFD+jzaheI8QN/oPKqY5jwOptw8xU3QPJAdwzyts748NZC8PGJMuTyDH708U2q+PClAzTxuN9s8c2z3PDGd3zwnrs48/FDiPCpx9Dy2VgM9d20LPbZn+Dzx7OY8aFfSPHWw1zzWxO88My/rPBgv5TyPy/E8rroAPYo0CD0mRgQ9NxsAPXomBj35rAc9udsMPW7t/jwywBU97LchPcLpDz0SZQc9ndkKPd2QDD3MXxM9E+MLPQlNBz0/tAQ9UXoOPZYoCT2SEwA9ki39PGlnBj0eVBQ9toQPPXxGAD3T/QU94ZwDPSZhBD34aQM9624APcQo9Tx1+uw8TZ3sPDZQ6DxOu/I8YX/+POUM+jw91fU8h3X5PKlG7DzRFfA8KA35POTY7jxyj988NoXhPH7K4zy7I+48TyjqPLt3Bj3WC/o8kEbyPGLn8jw+MQA93GMEPVALAj3jX/w8oiLrPAs27Tx3vfw8lSYAPdtTAj3A/Qs9j+UXPWQBEj1O4hY9/6YfPVPZJT2i4Ro9eSUaPZHTFj3pghk90PMhPZT2Ij2UDhg9faAdPSM6Kj3jfi49S4kpPS3vHT22fAw9xJEEPQZuCj30jQs9KYwCPQKvAT1TcPM8WuzyPMdb/Dyr+fk8UrUKPcGjEj0zaQ4908ECPWX2Cj1WbBk9kGkgPTmTIz2wGxY9KggPPWgLCj3cjww9lhH1PPLC6DxC+PI8vGj3PHTH3DxKjPQ8GkYJPT/8Cj2M3QE94L4HPTE66zwBcOQ8bRXzPEaz5zyTIeI8NSzhPOEA0zyQJ9c8/GvGPB98tzxuer48j5XUPFjPzzxvXKk8oreaPJd8sDwgurs8AZqqPITorzynr5E8V7V4PPradTwC2XM8nXyVPIxorzwaAJw8NO2DPD+Xijzj5ZQ8gNOMPFv9jDz/yYU8Pid+PDPLgTxf13U8/SpkPBciaTyXP208jl9qPBMVYTy0Tks8yBFLPB2xOzy1aS48lwQ2PC62MDy++DM8nGJBPBFsRzzSXUw8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyc1ET2LSYk9zKWUPQFejD38FZg952WHPTdsYT0QKlg9MMVTPdssTT3WF2Q9LU1yPcjyij0K+Yw91pRoPcXbXj357mw9mjp8PU1njz0Be5I9T1CMPeFljz0tD5s9+f6cPYdmjz0kNHo9EwKBPdVSkj3uR509VkucPWLMjD2D+oY98RWOPQCxjD01n4Y9ImKKPQQqjz2zfo89En2KPZsFhT2VWoY9pryBPUd5UT2YZUs9wXBLPZrkUT2oCnU9b9l2PaQhgz1Shok9e8CHPRJFhT0haJE98/GLPRagVj0k7FA9fd5pPVwYWT2JiVI9zw1PPTRoPD3khEY9bZVbPZH+cj1BjH49Fdh/PbsukT054ZE9nvKKPZkZgz3Shk89G71QPby9Wj2I31M980BtPVmfbD3DO1M92RJRPVaQZD0RAmg9ouxXPRf9Rz08vz89BGg9PYWXLz3CezU9Qw9APes6RT3gJU49CuBZPXM5Uj28Vls9LXVWPVsUTz0H21M9NmpfPU0OaT0JZE49JKZIPVIuST1wxVI9cqRcPVvleT04jXY9jg1mPWo2Vj1scFM9erlWPSIRUD05J0U9A7pDPWFMVz1/0Us9tukqPfz3MT3BykY9hvZIPVGmRz3umE09L6BGPQchRT1Zy0c9ZPE6PXGFOj1+VTQ9n8BLPUf9SD1BuUU9d8pVPex2Oz1s00c91R1gPRmaTz2fuks9sS5WPcw/XD1r41g9X6xUPU7ITj2ji1c9UVVcPeVecD1Wy289SXx3PYC6dj3xTGg9DuVNPV87PT2lOTk9a/RePeptYT0M+2g90eRkPUfQgD2Wkoc9MyeCPb7MVD12PEg9wNRhPffLYj3QAlo9awtbPfLmYD0ZSEw9y1c9PUVyaD3dXW09RkJYPTMsXj3VmlA9KCpaPbXxVj0+BW09zkeNPb/8jT0mvYE9NzlyPcHDaj0PrGA9f7pwPeQJfz3aGIw9gZCbPbYQlT1/05M9m8GIPcilhT0iPHE9MohyPY1KYz1Qt1k9G3tQPYK9Tj26ZV49xMJfPSUkjT2PcYU9VIBuPUWaaT1byV09wzNsPa8Cgj1QhoE9VD+CPbd+gD1FAnA9aLpzPUovcz1PEUk9jgBCPf4vSj366WQ92rFkPUvDRT0duUU9yAJDPW7LLj11dxs9q/AWPVM1Cz2A3BQ9INUJPVEm6TzcVMc857i2PO5HsDyPfMA8ZsPMPO8iuzxXyrU81L26PL88rjx0McI8iyPJPMhPwTwgzcs8N1DjPMxqtzyNL788cgSyPGS7pDxvDqg8sbi2PEwhrjw5ua88PUPDPMWWtjwiRq08HRLGPLnTxDyRa8A8sOe5PNvzrjwDlqM8M3PFPGlAwzzNurw8Et/JPCWXtjyhsLU8KZLEPNakvTxDLrg88EfHPIVIujyCSLk8oj+8PHSkyjxJzbk82KawPPV7vjybCL083W/DPH/H1TyRG9A8FTHTPKN/zjzhSMo88tbLPPin2Tw8VMU8KXbBPDFzvzw4G8Q85i/EPBggzzzlWdY8iq2+PPel0TxqD8w8kya5PM2KqjxTzKE8N0GvPGtNrjzEsbQ8rYXHPGpEtDwGAcM8ZBm5PAw8uzyzVdo8HEnaPDvatzxZKKg8aRarPNQ8wTzQhdQ8sNXiPCPt4jyDH9I8s6jLPNgf1jwa7Oc8GRDmPOexzzyDNdU8BVrNPNakwzxj/cY8IKvEPAPguDyFUMU8ffDFPCJ+qjzoSZs8UbOXPDz8qDy8zMQ8Nl7CPOaOyzzVHwE9MUoWPfxRFD0HewQ9oKfePJjgujzs1L482KfEPLKXxjxmIrQ8tIC6PC/gxjxkr7M8hHusPLb+vTxQLMM8kxi9PPKjvjyjDsI8JWK/PGKLvzxu8748b9itPL8MuDz2F8I8jE2+PL5QuzxWL7I8BJOqPD24pTyEFJs8cwmfPHKppDwhIak8lXKnPBgllDx4Epk87c+gPFVzpTw8/5887ZGyPKzHpzwQn7M8MQK7PFrIxTx75b48biurPJuznTy58Kc8t16xPFCvqzyQg6E8Y62hPLFeqzyfvb486TjaPEg44jzT6cw84n2yPBfmqzycYKU8BEqePH/DpDz++r08yM3BPH98sTy2sK48IyepPM3omTzdMpw8q/6lPOIwsjwZcKg85XqlPCqktDwuiL08mca0PG8bsTxoj6c8GPKtPAfntTxemLs8uVi8PNKMwzwsQ7o8PQS8PNqRyjzbhtc854r0PEkW9jyb8vU8AVrVPO9w2Dw8nNs8AQDSPJoYvDxPZLc8RbnPPDzyyTxvib88t2vPPHFI3zz1od08QCfdPByS6DxMxwI9H9b6PPunDj31iw89m2AMPf2SCz3W1gU9QYLvPKuz0zwQStY8wpbdPJSG8DyPef88BqXzPMb45DyVNu4836cCPXyVAj1aGu08ISoKPY+nCz3vFwc9ag0XPYUYGj0ACwA9FA8PPbhTFD2NXRQ97JIUPTGyHT2RAx09aWEMPQwW+zx9CPw8BQAAPbux+DznX/08XKsGPaTkAj0OYv08qbcLPUfK+jzqwe884OX5PHZ05zyzyv080usBPcMx9jxK9u48quYBPQYd8TzJTfk8tW70PLAk7DztHeE8XW3cPCUu1zyYad48bEbTPJJWyzzl1tw8xe/bPIBf5Tzh3t48o732PCJY/zwjTPc8PLD6PPEM6DzgFeo8EZbxPD368DyM2fk8LbIGPb18Bj0LxhU9dZgnPVLGIT248ig9yDwgPbBqGT17jhI9r6kRPetcEj3jaww9MpIJPdjpDz0wFiE9+woZPZrTET179BQ9PuUJPQFVAj1eFe08UJwBPUrX9Dwis+E8zN7vPH4f8zxXtws9hqEaPTIFED2yYRQ9mBcgPeJwGT2JIgo9FYwFPZ/aAj0i+AE94t0VPaLJCT04rAg9zpsFPV1W/DzawwE9tBP3PNHk/DwK9uk8r07ZPDBk4zzZJAU9KHAOPcLIFT0SmBM91dT7PLyZ3zyO6e08nWnbPCUPzzyvl9o8iYX1PN2M8Dw6VOI8+4bIPBAiwzwuMsQ8p+XBPD1MwTw1S7w8EgqmPDX6oTy5G5Q8iCd4PJfoaTzM0nc8/5mEPNM7iDz/oZY8qHyFPC2xezw3D4Y8t2N2PL62dTxFaYs8feSJPE/xiDz+hnQ8kY9tPNdEZDwj52E8jihsPOxbcTxexG48id9PPJ5PSTyTvkw8qkhIPNCcSzzfX2c8MDd2PCuPhjzL68o82PA+PbaKfj3DFKw9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/H7dBPMWsQT2NUo096YCbPSaakD15G2o9QxpHPcRFSD2Hj0Q9BTFRPcaYYj2i4Vw97aZrPahCfz2Qd3Y9/k9hPYkfbD1M7209TJV4PWtUhz34V5I9xVChPZIzpz2xc5A99R+GPXhlgT3iio49xxuYPc0Wmz2rRpU9C06NPcPfgT0k6n49CMKDPVO+hT1GcXg9csKCPeRxfD1121g9pBxyPRwzeD2BpHY94hFNPT0TRD1Mi1A9ImVGPdGRZD3itnM9rmZxPWc/aj0XnlA97PhVPVo/Zj00zYA9VctoPWPvdT2Ujmg9NwNTPXOAXT2IM4A9KxGIPSXHcD1aqmU9rjqEPRoWiz2troU9r1iGPa55gj3l5oM9e89tPa4bbT0vd1I9U4RhPUaQfz0iGo89AOlzPcGvTj0JLmY90HduPR2/WD0ILG49BhmAPQPoYT1JeEE9Mvo3PfiyPj01VTw9MwRKPZL7YT2z0lc9AgtfPfFmcj1Yo249VOZmPdd3YD0X11o941tZPZ7BYz0usVE9OaU8PQBrOT1Sdks9YQBMPdGrVj22vGE9kMVjPZwAZD3K5Fg96X5TPcpBUT1sMEI9i7EvPc+rLj189TQ94242Pe/hNz119T09F5w0PexeOj2I5kE9F75APSo9Rz2pF0Y9fvxCPft+Uz2ZklU9DjBVPfMlUT0wCFQ9ZptXPYamYz1UeGg91V5sPY7bYT3DSFs9pit6PUdrVj3z70c9nyxdPWY2aD39EF89hT1UPfSdUj1r/G49YL14Pf3BYD1uIEY98zk+PbvsQz2yYEo9rcw8PSJfWT1chns9d1N2PZS2Vz36sFs9AJFmPQ6wYT3j4mI9ludmPZJmVT08QVM9gHRbPQYmZj2jcFU9aJ1wPTzihz27gm09qvBtPW/WZD1TW2U9CItJPYteUz2i/WE9eNlvPSW+dT1xknQ9BLV4PRvSXj2z+VY9A9VZPRdAXz19rVs9f3xtPVXcgj10JoQ9uuZ5PX7ugD0424Y9SFqAPbSDcj0EIVw97F1VPZM1Xz0UHWc9ljB4PZ0yaz15vmg9OL1mPTjTYT050U09hLNXPZEdfz3wj3090dGLPaUShz1ZmIM9wcFsPWHJXj0gaF499plnPafWYj3xwnE9njtdPQwhWj1HiFY9Kl4pPdzwGT0aSw49J3LvPH245zyR99Q8h0O+PH0nvjwc4rU8qhSqPFnAuzxrpLw8uE27PKgczDxgjsk8sK+xPA5WrDy7Frg83GjUPNnIuDwlxq88VCmvPB0cvjwOGrg8pBzCPHzqwzzPgcc8CsXUPD0utzxhcqg8T6PFPGcWvzybCMs8rnDVPPAmzDzZYKg8nxCkPIBrpjxoRqk8MsaxPO5RuTybJNU8XYvDPI7atDzm7LU83tS4PBO7wzyS+bs8+J2xPNLRyzzhJ9U83RzQPLuYxDzux8c8MQvZPN0Dzzx0rtg84bfOPACYyDw2Jc88BQzBPPcZwDxs5tY8jyLhPDy91jwYQuc8nVDFPLV+zjyvLsg8KL+8PF2fvTx1MLo8brq7PIWtwzwYl9c8UH3TPK61vzzgWb08W5zKPNUnvjxjFbQ8qqHIPFkhxjwMD6887Ze6PCavvjzqr848wvLNPH0xwDxkra48zoK7PJ5QzzwPcto8oyrGPMMVtDymgcU8Caa8POfCvzxoCsw8p3PePLiA4jw/iek8vHbBPOQgsDxcvbo8RzDBPL4+vzx4hsc89564PE5Arzxb3Ks8nS2oPAHBuDx35M88VMraPGql9TzFxQY9l60NPTkcAD2ng9g83orGPARwvDxgc7g8mmGnPJkQpDzCz6s8Tb61PBizwDzIG8E8iIzCPDftzTz3d+E8FuzPPIH60jxYWcs8D0S3PObhszwVf8I8HmfHPPkgwjysYcI8Sx24PA8qrTzlGKY8ZRekPBaAojw6B5w85MKaPEo0nTy/J6M80XKoPGyvpzyHxKY8lkauPKj/vzw8GMk8rAjaPIGI3zyxb7w8xHjTPOsn1TxoG6g8Yv+gPAB4ojyMFrI8rMutPAMnvDx2x708ibqsPG6lrTwUD6A8pDupPKKNuDzOg748zbypPLHHpzwVjrE8wa+4PHuwvzx3GME8PLyzPCYVoTw5h508NiynPA+unDwifqE8SeqhPEnRpTyQI7U8soW8PBbTzTwBIMU8E2a+PJb3vzx72rg8+xm7POJRvzwV4Kg8JH+vPK6CvTwIvMU8ravHPPhyzzw1Ges8lm/mPEnN6Dyhoec8GFbTPHWKxjxAk8w8fxnJPM/xxDysl8g8243DPHpczDzEpsw8FuW6PCeJyjwrZN086tvqPB/B/DwdgAI9B+75PDrVBz3ee/88bd0CPXDk9DzpINY80d3gPKfK4TzhwuI8G7TxPO+e3zwy8eQ8HqL3PPjD8Tw1DwU9O2wEPQLEBj2qBAM95NcHPQnQAj3CKwI99TsBPZs6AD2a/vY8PI8HPVy7ET0kAxc98zsrPYdQJD3LsyE9KMAQPYZgCj0ABgk9OngKPSqvBj3oLwg94S4KPTRQBj0i2QE9lsb2PJqD7TwqBeE8pg7rPGIH2zyZTNg8s6fZPPR20Ty83+A8L4PbPM6h6zwQtfI8epfyPC7C5zwK5dw8Xe3gPFGW7TzNuuA8UEDNPL3uxjwRuMA8VvfcPGWb+Twr5Ok8QovuPAZA+TzjhOE8rFrsPA/5/zyjJws9Aa0CPQo//DyBWgc9QAYEPWflDD2YtQo9TNkdPdYWGT3qLB49X+QbPcyaDz1Qk/c8xGQKPZgnEz1PURA9qm8UPUfhEz1k8hQ91bwbPeBAFD0q7gM9cRX6PKei8jx3v+48tyMUPQHdDT3X4Pc8qogBPQpzCj1z3gw9uPkUPcBYFT2o8AE933X/PBFNBT3F5gQ92BYHPeSgBD3VQRs9DlgVPdZ9Cj0ozwU91EPxPAUS4zyolN48FpDIPAai2jwfMdc8od3XPAZt/jwvPAM9YhIJPTRnAz1SGfw8RNjpPCi40DxdqbU80di5PNH9yDwjYOY8PiMCPTsx6zxcZso8hT63PDpQrzyQ9LQ81vy/PDI9yTzZO7Q8JxyXPP8ygjyUB288/xNNPNHUVzz6hn08IbyYPLCvlDx9mow8ZdxhPMcTSjwqWUs8+DVbPJVRZTzwjVk84FBbPK74WTzOUmQ8JEVrPM1NZDzlulg8Np1lPO7OcDwnYYg8GfOLPMs2iTyZIpc8N9TtPKkkIT1ulUo97OG/Pelx8T2UUB8+Ya07Pid5NT6nMjw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/4UAVPYIjez1BzaM9/jeePSwmlT0JInw9J6JYPRpiWj0jumU9uM90PfCoYD1XmFQ9xcptPeZmcj1A7WA96GJwPQBSgT1hnI09L6OhPfnomj1skpg9mPaQPY4PhD3w83M9M82EPSsTij11KqY9RmWsPUEzoD2rXI89NL6DPYtriT29sXg9EOeQPa0AlT2dWIA9GaBgPTlfWj0N3Gg9z2R1PWLcdz0HLlk9yIRbPe/sZT3mGlo9FS1aPaKOYj0qkFQ9tsdNPZwgUz0Tp2I9DHVfPT3faT2Tyms9d8xjPTk3Wj1NS2A93t9RPf2ncj3kipE9CICWPcjEij1Ou5E99F2ePdW+ij2xAHE956RaPVXQXT2XOlU9oTVXPUURUT03bFI9slVnPSI6aj1hBGo9OHNhPRd1YT3LoHw9kn+DPRmidz3sBmQ9xepRPZ3dQD079jM94Vk1PeeyOT3uxT49fx8/PW9UTT1DdmI9ZwZ9Pb9fdz2Cl4A9TUOEPR2fdD2vAVw9C78+Pb8YLj0NBSo9xMYuPTfSNz3xCUM9yCtFPV7IVT1Vq1s9DchePRt8Yz29ylo9VpdePQcSWD3l5Ug9JzlFPYGsPT254kA9wg1APXtXPj2GOS09L4QsPXu9Kj2Bgyw9wzU3PfutVz1hqF89taNpPWrbWT3dD1M99UBUPXboXj3W1Xw9Zyl2PfZGhz3V+4Y9ieZ7PYECbj3Ytl89J8ldPRvJcT0nnn09YJBfPf3fXD17zmk9BdB7PVYBaT06Dlc9KdVSPdHKQD2kb0w9plJDPQOPSz3ch1w9gJJdPR6tXD2GyUc9r1pSPdI3XT0eNW49tsV/PWGidD0rVFk9XwQ2PV+1OT3YX0s9kudYPbn6aT3J1FM9NIBRPd5qZj3qtHY9ISF/PXZPdj3pHnQ9WSFoPfSWZz08jmk9mtRmPd4hXj3uMG09BDdmPebURz3/2Uo9YWdhPc7hXj2zDl093IJePXhTYj0RG3g9Oc+LPaNOkz2uF5c9kPedPYaXjT0R8H09huGGPWsahz3tE3Y934tgPURnPj0JSEI94XpQPRH9RD0Sljk9pYxSPSU9cj1LB4k92/qUPe+vlD0K6Zc9awOTPZQiiT0Q9GM9365aPbFFVT0xTlo9tLRZPc3MVT1lKl09uKgzPWmCHz2kEyA9JZv8PP1L/Dxfhtk8V3jiPHA87DzySb48JGmzPOppxTzKX8E8oFLAPNQFtzx5mMQ8ag6/PO+pqDxQlq48SofOPAza2zzN/b88H4W+PGnszzymTMA8TOG7PCigzzwBScs8QZfQPMJOyDyGp7Q88CbOPErY0Tw9cNA8XavdPA1B2jwsw9I88QPNPEMkuDxCLbU8oViwPLvtsjyjO9A8a4u0PBKotzwdGsE8inG5PHTnvDzi2sI8qJnAPKe30TwtTuc8AmPoPKFF2DwKt9U8xUXxPDf+8zw46dg8v2LTPBOTyzyTSb085zvHPPzP1Tz9b9k8yFLOPDkVwjwBzMA8Z9u9PJBYxDwREr88mGq9PNaTrTzHlqM8LVGvPI4hujwQ9dY8bO7GPFxctTyhJ7g8fci8PMzcszz8/KY83f2mPKq9wTy66L08V+/TPBPo3TzZp+Y8pr/cPPyTyDwcYeE8MqbSPH/+vzwZr8g8ztWxPHQsszxAb8Y8bvTAPGu3xjx7ttk8flrsPIWY4TwmHN88G5bGPFsJuzzYjMM8GOTNPJT6uzyz4bM88JS3PO90zzx3utY8fhLIPIwM1DyPseQ8vOT3PHG98zwG4u08xQL8PFmABT1/Fvk8wAXePB6VvzyPKMk8YEnLPDJIwTzhH8o8aSbJPEEruTzQ86s8w3myPBkWzDzWy9g8PBvmPBP0zDx1vco8YkvFPJi0sDyo+7I87pXMPFensDwAGZk8HnaRPIgFkDyD5488RyGSPBU2mTz8cJY8ZHeVPHwYjzx035884PilPGS2qDxGf6o8Jaq7PAVQtzz0FcQ82k7DPG8AvjwFCrA8KeayPHmusTwHjao8pT+9PD18yjyUruI8kL7ZPGDYyzzsRLI89FmjPM+woDxzsp88+iiwPClSuzxUGMI8pRW+PAF1vDxBobM8Nl6+PAnhvTzi5Lw8yxKrPNUVojx/aqI8QlChPFBHpDzqsr08F7GxPF5YqTwJaq88khOiPDrgxjwlBcw8x0m+PBiPwTxI7bk8o1+pPDEUqTwvXp489KWfPNlRsjxKs7888y6yPDEZvDzucbo8DLe6PPqXuDzFRMU8rS/QPMcLxDyV1cs8emjIPIiO0TzOBOs8d8DuPLy21Dz64ro8AgC9PLWaxzymoMc8s9niPJ186zy2hPs8ifkCPdlrAT3+z/U8ZJDXPOJ6vTx65b8851jNPJZtzzwAjNk855/gPI/C3jz86uo8Ctv9PJAuAj2Odwg98sEGPdPGCj3bxg89XnMSPRFbBz2msgM92ZbyPD0o9jxDIwE9NNkEPSmPEj2zOwk9BuMLPfj3GT2ZrhY9ZtD8POmg8zxragU9h/UBPW1CBz3kxwU9Js8APUCTAz2Y7/48s2UJPfB0Az0vJgI9FFAKPedB+TyLIc88F2TJPIxR4jwU/vY8f230PGje9Tz1A/Y856D4PA2G9DygO8o83z7GPFYH6zzuNe08JIzoPD8w4zxsFtc8R9vXPM+n5zwGXe88tbr3PK8wAT17Kfk8ppcDPTsmBT3AywQ9DBcKPUg8+jwXm/Q8E6UCPQCdET08JA09+WAGPe2WCj0QdQ09WokJPceMAj3uy+o8VAjyPDHFAD3K+Qg96bkIPdxsDT2Mtgg9QvABPdM8DD1XPwE9FYcAPfwlAj0zjwk9VM8PPfQVEj0T0AQ9g4gLPUjdBj0E3wQ9SSgLPcEGDj2a8Qk9jYYPPbZxFD1UPQ49akX/PMD/Aj3xNwk9iZcFPaqfBD2+DfY8tAzsPA3J6TypQu883XTzPHc45jy+2808PiPDPH9uwzwMCb48t2bFPKbmzDzFKdE8h+/SPFMjyjxcbrk8DBvBPBY72Dzjwfs8y/QCPevWyzxLTMQ8i8PDPDyjuDzHkr08NCvBPJcJxzzs/qQ8qNhvPLCKWTyqtEc8B3hbPFWBjjx3HZs8uYGLPINNazyGrUo81jFPPGQIXDwovUg8Pg44PNQTUTynWkw8SNtDPHI0aTwbB3880r1sPLEAcDynT588vEHXPL9iNz0vFYE9oAeMPVGtvj1YjgA+v0kePrFUNz6+vSo+qTdkPhHCQD6cCkA+CfI1Pqu/KT4uO0k+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/50YiPc/Rfz3iPo49y6eVPf0tgz1E02M9IMZcPbvucD0BSHM9c+pbPQZ8Uj1RW1M9MeRQPb+xXz2Zf1w99WZxPVXseD0APpA9WOioPQmDqj05PaA9KQ6SPbowfD0WoXM9uRiOPf18pz12hqs9m3WfPdP6kj0eBJI9ZXCDPb9hhT3PtXc9kxeKPRFQkj2hYZE9q+GBPWmcfj2AJ3E9MB5tPbqdaT0or3A9jcd5PVrodD3w+HI9ILpiPXSnUj1g3UU94thaPSApcz0aEIA9UKRqPTx1YD38KG892U5vPYZbUD0RQ2E9kqh4PWdwgj09WIU9bEGEPenZez2IT4A9m2eCPcDUgD2somg9jmxnPXVwbD3dAWI9spNiPZX7aj0+h2M9vvZlPdG7fD0+IYw9+4x/PacmhD3/Q5I9ulaPPd5hiD0CXGw9AOVKPeRQQD2bLkY9r/g1PQ4aND2NFEM9i21NPa9rRj1sglE9OC1yPbS1fz1vH3o9gwVePW6VVD0pBEc93eVEPbe0VD1GQT49JXMqPTseOT0PWk09/d5UPdpCaz2APWI9gctlPYdZaj2uzFw9cohpPVa8Uj0ZIUE9v+pSPaHnUz3aGFY9ek9OPRaYPz3tJzM95A4lPf2mND0Z2Uc9X2w+PQ7iTD2tV2A9LdRzPZijeT1mMGs9MEN2PfdrdD3lLYI9FGGLPb84fT1M1Ic98ZOAPXsIWz2t7GE98uxdPZXqZT0bMVs9H8lEPdCXUD2i5Ek9uKBUPZJRSj2vhzY9HMM9PU+2Sz1KlEg9sWo3Pe+aPT2nn0o9M+xQPXSNQz2VzEU9I0VmPesNbT1LLoE99OpvPZnBYT2gAlg9vZtAPZzqRj3L4WM9SWN+PXg/ez2OSWU9RXhUPZkuYj3w9F49Fl55PRmVhD1R3nc9hHhVPeWzTz2obEI9AH9EPTFJSD0ptks9o0Y9PSPdPz0e0ls9j61ZPSbhVz0Ntm49F3hjPfC8XT1z4Yk9OSCRPXWfjj3Ph4s9T0qKPUAUlD2urpY9aO2KPXwgaT357089Qd5IPRWuNz1JXlU9TNVuPY83UD3Przg9e4BEPTA4bT3qQ4Q9erWIPSqriT1jJYk9c2mAPQNwZT2cOjQ9CltCPTc/PD1Yq0A9Z9VHPcfiRj0PC089btwzPZltKz2g0xU90EsAPQlI6jy18uQ8ia7uPNZB5zyMg9E8ElDQPM3h4zzqAbw8Vk+vPI4TsTyCn8g8lVvVPPqzyjyrAa083N2sPOjzrjwhzrw8Mqm6PMiCxTxcyME8PdzDPLRX0Tyo/L4843jIPMyZ1zyZftE8RrnKPNV9ujxbvsM8pgLKPCPWwzxxHcc8s6nEPPicwzz93sQ8s+3FPO7FuzzHc7Y8TxuwPNpkrDwC36o8oR+1PJlTwTxzucI87vjOPGLB3Dzza/48O6z9PNZo2zw82u08UcPiPDYF8jyb7/M8cRjoPO82xzxqHNA8U/zXPLFF2zzwHsE8neLJPEzTuzwWrK88XnS4PJYruTyDK7M82WXAPAnZwDxLn648yW+wPFMNwjzk7r08Ufa0PGgQuTx5mbI8UQ+nPNJrrTyeILE891KtPKRi0zx/PtE8B2TPPLew2jxj7908QbfiPLAj4jyHdNs8X7LdPJv6yzzTx+Q8mm/oPIyWzjwL6ss8Z9XCPF1dyzxXQu88Tqb4PGzvBD383wU9Fo3fPGUHujxGbsQ8SpHBPC6/uTyrnKU8DJ2+PLNL2zxxCQQ9GCYFPYp/9Dz2gN08XCzfPBem+TwAZfU8L9LrPAEZ1Txn7rU80QTNPNbNxDysAcU83rjLPLkIzDxVk8k82MDUPC5a1Dxha9M8ZhPkPDRq+zwCsAQ9f9L0PN1P0Tz0O8U8ApG8PK0SpDzmgqg8mvW0PMnolzzv/pI8AnmGPDTxiTze85I8cbWTPE+1lTyF9Zc8MJOQPJAllDwQV5A8x8eEPBrEojz4KM48f529POrWmjz7uYs832mNPDmHlDxocJU8srelPPf+wzxKVrc8aT22PEDSwzzAzcI8pke/PK4jrDwH2as8MwemPNpmnzxBD6M8hmyyPIjrxDyJiMY8SeWqPGJyrDz90bI8v+/PPCt5yzz+8688XrGmPLrMqDy24J48B4WePETrqTzInbE8gsmiPBHLoTxzmqI8I7ukPIkBvjxx/rQ8p5GxPAHfuzwegLM8um+wPKXEtjyVMLU8qiDAPPJ3tzxw6cM8Xy65PHh0wDwjx7c8xJSzPGM1uDxTjs08NV3UPEcfwTy0mrs8HRrAPO6W1TwMxPQ8+PHqPHPA5DwSQ8w8CHiqPHs3pzx5Wrs8dc/CPADs0zylEuc8hOALPbtuET1bRPY89InJPM+ytjymUr48WzHDPCXDxjywI8w8YirNPKlm2DxsOvI8XUT9PHn2Bj3H0RY9X4IfPWjEET22yCI9S74dPX0NEz2UNQI9V/bsPPKc5zygxuo8m6H4PPiOAj0BFAw9VOwKPaREET1M1QY9TK/qPHVe9TyTowM9nloBPaIoDj16AAk9LwQCPQIlBT3chg89XIwVPXFTGj1tfB89P7ILPaP/Bz3+igA9DxHYPDBv5Tzwnfg8NfcCPW16BD0ZoAM9Dkv5PN1+3TzlTM48yxvdPFyy2Tx0Oto8XcPWPB9P6DxKcP08R/n3PB9k+TyX8N08cPfdPGO+5TwYSuU809TqPPSL9Dw+Ev48hMUJPSRrBD3kkfg8AOARPbO1Gz2mhxc9mYcVPQCiEz3FDgc9LAIBPfOQ6jzBkvw8ZDUIPYOPEz12SBg9i5gMPbWGDD30+w490e0QPeShET17FQw9YN4GPSz6CD2AsQk9fq8FPcw/CD1ruRk962kxPRfwGT2UXgU9S+8DPYdbBT0mmwo9wy4IPfddFj3jJBk9lAgGPTgKAT3N2AE9DiMHPcim9zzfWNw8qjzhPFYm6jynv+c8oz7fPHGcyDyco7g8j3irPL1HrTyf8b082k7LPIBUxTx0+cI8OZi3PJ5ItTx3Q9w8s5n/PE8A+jwpV988623lPNOW1zwW48c8/oG6PG4wtzx/Tro8Y4WgPE0LhTwS7VY8+TBRPOMTXzxOHmE8tFBwPD6jcDz65WQ8VdVHPMRxQDxlIkU8hk1WPGtSZzxu2UY8EiVaPJXUXjxlkVk8ythUPBjYiDxIFas8jPoMPT3Mqz3HnAc+jywlPgILMz4glTE+gYobPsUiIj7ekjM+0F1JPgmYVj7eCTc+ReQ9PhFmRj7c6zs+VqI3PntcMD7flCg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Ars4PeHRaD1C7409sS+DPYcOWT2ENmQ97lpoPSLcZz0XBGs9d+lbPbwFbD0sXmg96OF9PVS+gD0VeGE9oCVnPdVzkT13xLE9cW65PfEetj1l8KA9MRt3PV7zfj0IuYA92PKBPWyDkD0dJKA9EtGgPc9vlz2awY89IemkPYlloz2zp4c9taeFPdPtdz1lomY9crtrPRCEdD1953s9mMyBPYgNgD1gHIo9R12DPTIIgj0lCYI9+cx9PQqVdj3a04c93j5xPajPZz0A5mM9+qtiPXvVaz0g7m89VzFqPUu5Xz3B6lQ94t1pPWpPfT3CCW890DxsPbnpbD3DfHg98xaDPUQ2bz1cb2c9dBVpPcOUZz1YEnE9BcdqPWk1bT2YV4A9zhh+PfqTaz3lsHU9TzuMPX4ViD2wgnU9XpJrPQ9WYD3X3089BIBgPW+JVz2O1j491cE+PXfPTj0cW149xRFePQhITT3hL1M9UiRjPQODWD09sUg9+ahFPbrjWj2M8V09OrpfPUrHXz1bl0Y9KUdFPfDBPz344Es9xe5oPbXMVj3cKk09Ef1QPdqlRj0G80M995pIPenaUj2IpU89QvJEPQ8JQT2oo0Q9a21NPSRLRD17+0w9f0ZHPXYCRj1cY0c9Q0RQPYtPWj1wYl09qNNVPbCtcz2VWWc93ItdPRrdVj2yJ2E905tvPeauVz0o31U9pzc/PXrQMz3ujzg9DzlMPU6OXD2l20g9s/kxPZ/gKD0FgDI9RyQ0PairND2zsCk9y80sPV71Lj1Lvy89AKNDPeZbSD3/r109ISZoPV4IZT1fc1o9kIpZPQOTXD2tJFI95cQ+PRpGTj3vfWE9avNYPcd/Uz3dM2I9U5FwPVx7dD3K0H89hfhwPfDHfD0yNno9dUd0PaIMcz3YrXE9E4dsPc7YcD0Czmw940FYPas1RD37+jc9hl0vPXLgSD0ffUs9CKhaPSdMZD1BDGg9lbNxPT3wgj0d2Yw9qQySPXz0iz1B8Xs9+ZJwPTd2fD2awI09zD98PTQxQj3fFj49sHZPPSptZD2DyHk9E3+CPbPJcz2/3VM9u1hRPWIMdD1fdnE9uMNzPTyUcT1qE1Y9tnpCPXnOJj1NVyQ9PHAzPZr8OT2gLUA9UTk3PSGsJj0wICM9WJYqPZviDz04Be080ebhPBSz9zwqkQY91OLgPK8fyTxwxMI8BGK8PE7cxDwJl6Q8Ms2yPCMFuTzW4qs8qom8PLy0yTznWrY86DKlPOjqrTyFYKg83emrPP3jrDzm5K08qNy/PCWN0zz8rdI8ttPOPMgr3jxt3to8vpbHPDUwxjwSULY8ev/YPLGM0jyNTb08CRfOPBBxzTys/Ng8uta8PF7BrzwQlaU8eV+hPPDYmzwBvq88Uu3HPFPfyTyRv8w8V7nUPLCT0zxsQuo8ynvZPNeO3DzM1+E8C9rePNI+zjx+gcI8MHrGPNU+wzyC5s08kBvbPC7ozjwCoMY830DIPOWGvDzghsM8dZfKPMagyDztUsI8MJvSPK4B2DzRms48DNnZPF0n1Tzj+NI89RXIPEyKxDyw5sQ8Q5++POGdsTwmN7o8cl7EPHImyDxfncQ8E1XVPATf4DzlOe88Rfn2PHQJ7Tzdze48hkj1PIwdAj1AKgg9rj0IPUGE9TwwsOk8n5HlPJ9q6jz5tvg8P5DoPLCq6zwptug8B0vFPHoWtDz3YbY8dhC0PNRWtzyglcw8jVINPYj0ET3/KwE9u4bxPLUX7TxNXNs8Gx/YPGLL1Tzr7908+yvVPIINtTyCTLM8No3MPP0f7DwlztY8GaPGPPjftjyEuMc8UTrTPM+k2TxdzNo8hqP5PFTEAT3Zpu48wZj1PChEvjxB/Kc8kcGbPEOsjzzAu5s8vK2iPHevqjym5Kw8qYiVPEY/ozwjGpo8KrWNPKqTnDwjT5o8xiufPDnyoDyOD5w8aCOkPJS5jTysQYY8B9eKPMpvjTwmUa88miimPCMcljyh5aE8FfeiPIzulzwdnZQ8UbSWPH63pTzTjK485JqgPBWNmTyDQ6o8H9KrPIL/ozz/9LA8MUm9PFIrvjyvN8Y8ukS0PJFsrTxz3MQ82k/QPFrHwzznIqQ8PPqcPBETnjxv0ZI8XUeUPOZlqDxKEaE8ALWcPEXQpTwMlaY8i+OqPGgIrjxqULo8AKa3PCpHwTw/d708lFe8PGHCvTwuO708y/S9PIKjuzz7Qrg8YR+rPBK/sTzPXrc883u6PNAUtDxhOK08RrapPH0gwTysIsk8+t7UPDXN2DwR1d48vw7aPMJM3Txm3L88GimzPKwqwTxMfs08LQPDPKxP0zw3b+88MLrrPMpD4jy1rcc8ydG1PHeeuTz7IsY8ATLDPOl4uzy+N848NgHdPCZU4zxUEwA9/yMJPUGECT0TcQk9osQEPdxFAj2fCww91rkXPRxIIT3HThU9Mij8PDYY5jw2cvg8zWUBPdm7AT0flf48nRH0PLCF/jxdnvc8AZ73PHqF/zwMQAg9L6gGPdp3Bz10zQ09rtkTPVrdEz1N3fo8wvLvPKhe/jyd8Qc9EnASPVExBT0/r/M8/Z3ePNDb7jynNwE9euDvPGfV5DwTd+s8jgjqPOf00zyWIdE8wNDOPHaT0Dy2eOU8HzLkPHBA4jw5Ae0879n0PLgr9jz2QPk8wLL9PHlU+DxQOv48ONT8PDILAT25gw09oIYMPSZUET2wxRE9n8wWPS+qIz2V3hc9ra3+PElh6jyxpOw8LBvjPO0q4zxGPvQ8bswGPT1oDT1CBQ89oy0lPTDRGD1FyP48HEwKPXfqDz3ofwU9fq0DPenBBj0QKgc9YLsePep1Lz0e4yE9EFUQPZ+04TzBeNQ8lAP0PMfQ6Tyt9Oc8W8LhPAiZ5zw65vg8PO4LPZKVCj2VY/08LkT3PNwsAz10rwk9XcgLPW7k/jwELts8m4a2PI27pjwYDKU8XpurPC8Ltjy627488I3XPNPU4jwvnsY8zQm4PJeyuDwhz9o8q2UIPXFG+zzmd+08viDNPP2lqTy2XcA8bNi3PC+zpTy5k5o8uqaDPEwufDxRmnA85pNWPA3CZzzuY3c8bBJ5PIfIXjwJUEs8whQqPFnxRTw0LF48vlN0PPKmZzwBq0g8tbxePKGajTzcVPg8W6VXPQblsD2cAgw+u5EwPppIUD7rkzE+D7E1PriVUj5jIzI+xGcxPtFrOT69gS4+vTQlPtusLz739jg+BEw1PtSxMj5TflA+JrluPmb9Wj6Ln0U+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/b2zuPMSzJz0WLjg9++MBPSF5GD1EMUw9uHe9PMrc3DwwcT49r/dKPZGsMT3YLFk9V9KEPRNiZD1PG1M9PgVpPbseiT3GBKA93zKRPVcSgD2RVGI9GP5iPYIUaz02Gmw9N7yCPUPAij2diZc9I/CRPU+ejz3SBp09yqGlPb2ukj1oRYQ9P/BuPbuaTD3lZ0c9YbJUPWS5Zj2vrYU92dSRPQVElT3Z75g9JiOUPVfqnT3KbKU9aGWmPZicqz0ei6g91vmSPQ3gbz1hFWI9DQdkPevxWz2Ek1A9/tRAPZh/Qz1gBGA9u3t8PRgNiD1hL2o9XlFJPUyaSz2amGQ9SVlSPf8gTT3jcFw94KFzPUUHgz3g/IY9dqNhPQFRaj3hJ4M9SgOMPYyziz2tgJE9SBWbPbQ5hD3S6FI9E3NAPTi6Qj2aeUc9r+tbPf4ScD2DY3c9VAyJPWNQfj2RmnI9tg59PZKgWT2D3EA9eOQ5Pf8nOj0+oj499ApIPdR/TD2xbEg9L11PPffUUD23RTk9frZJPa8lQj1RijI9vlEzPZ8xNz3v7Dc9OKZNPdkCXj1Scm89+ldrPUIFVz3jRUM9ZhxDPaQ7QT3eIEo9HWZXPYVeSD2SWV09mCFsPcjOZz2azHA98gtyPQV+Sz26ozo9ews+PZphPT3ESRg9OI0WPdUoKz1U5TU9BaxAPfTSMT0I+ik9O+IlPbPOMj08uzo9VxRIPZ3SRT1OETM9pXA3PSnjOj2rP0g9ggdLPac8QD3bA1E9kndWPdf3Oz3jBTc9rBFBPYOZVj2Uo189IxFHPfigNz3UdUw9SJZXPZ07Xj1VT1s9V19ePVBKYD1pY2A9pCJoPUYcdT2rh4A9Zpx0PbsKeD232Ho9qFR4Pdx/eD1sY2k9Txl3PRtPhT1HiYc9xd56Pf02gT3sS3M94hFzPS3ZWj2FxUI9dZ1APcIvTD3QHlU9aKRXPXJAVT19Hmc9DGiAPZL8fT2wqHY9ag14PTYkfz3AInw9q895PTtxjz0ccZU9AyZ1PXNEaD1pdHM93LRfPcHeaT2Q+HU9Wq9fPXXiWj0wv1I9EMJFPatvTD15TVA9gM0+PWXFNz0s8jc9zjZAPfrOST37fTM9tI41Pe7UTj0puUw9c0kpPSQyED0u7QM9DtvsPCy24DyfKNQ8UvbQPKA6wjwfb7s81GKyPGQIojzlra888OW6PLguyzwTWro8iEGyPGtjxTwpOr48s0G4PMRYvjxoiLI8EC2qPIObqTz9D7g8Z+PNPLd3yDz6qbQ8WPivPKwxrzzBjrw8VfDYPLAE0TxSgOA87yjMPJx21TxslMc8nuLDPBT91Twte9A8xHbGPOY2wzz1mLU8yyKqPKbSmTy1pqU8F1ajPOKltDwtJLo8PfrAPOekzTyFZs0834HWPCjZ1DyG++I8bqHpPGDo5jwV68U86zHRPNUx2jwTS9o8HEXHPKRBujyCmsI8OpbbPGzG3jxunsU8gRO1PAJSvjwhItE8TH/QPN/a3Dwsn9880BLVPA3v7Dylvuk8bTXLPBd5vzwl87U8oIjFPL0yyTzbw9E8KxHWPI0c2jwfRtw8UNnVPAcn3jx9qNI8pD7pPGal4zxsAd48s13wPAXaCz0V9xM9y6EOPQxyCz0QxwU9NZzqPGZU9zy9U/U8Nm74PLBZ7zyk7Oo8zVfVPBe8zDzVc8k825fJPKfcxDxiPsY8ionRPP5A2jxkM+M8aDT0PEVd3jzOO9g8PfXlPJcN4jw168o8ULXGPE1ixzw77ck8Y16yPCFFvjx84Mw8xQXePLxy6TzIz948MRjbPOC3zDxdYNo8rffgPMhN5zxZh+08DnfaPFMrwTzWbrg8u9KoPITSozy3i6Y8XjGoPBWTrjy/xc08YpfEPCwgqjys/ZQ8kiCbPCBBqzzUzaM8++2nPG0dqzy2ELI84JGoPPjjuTx+Vbk8jRmuPMy5oTzfiaU8OGmsPBahozyXC588yDOxPJsi1jzXuMk8rmS7PCJOrzxXqac8FdmrPLYauTxIbr48ekHCPNhxvDzetqs8arCzPALgsjyz5bc8qty5PN2NrzwoTLE8ypOwPB7Btjwl1b88Z93EPM1BtTw5q6k8y76pPIugnzxrYpw8EmWePDiqpTxnsac8C/SRPBV7lTyDBaw8RwWuPBxrtDwoTbA8tbusPIbCsjxHtrM8v7S3PJGQvzznPLo8OVSxPM9BpjxFuKU8G26sPLzcxzye/Ls8D2+0PFRisTyL1Lo8FpG0PPVttzyYks88LU/2PBf/+TzlhNo8zXnKPJgIxDwZ6rQ8J7+vPP4dxTxdAeM8tx7iPB/M8Txv7Og8nVLPPBejyzzFiNU8fwPRPM9ayDxBMc88T5HZPM1b0TyMiNk82CbgPP263zwsMOE8oHHcPLwb5Tz+4+487zr2PDxpAj0VRAY9/fsIPcytEz2q1gg9GkbwPN3bAT1JVAk9898APXgGDT3ulgU9cTT8PL1d6jwULvM8jEsAPdE6Cj0PUgg9oRcMPbg2Dz0PGxE9mmAPPW9rBD0waPg8PQoAPbVgCT2QQxA9FsUJPS1b+Tz6LOI83EnXPLE60jy97d88O0/iPGK08DzL7PU8B8/fPAps4DzpL+c8JrnjPDy85DyVnt08C1vePEWh6jy/IuM8alToPAOL4TyyV/E8j1ABPUNk8TzhBe88e7nsPGJd/zxe9Ac9k4cLPb3+Iz3+6RI9oOUDPb+jAz00KfE8Zav6PASYAT25AfM8rLPePOpl8zy+aw49bK8QPTTsDT3K2Bo9QrQfPWf5CD35FgQ9ZbgLPRaPBj3oAQQ9/dMDPci67Tw3Ses8a3EDPY01FD1WyxE9G00OPe3RBT1Q3fM82rXoPHon6Dy6dvM87g8APeYI5zwgvuo8mdkBPa/FAj3RUwc9ERsBPchT+zy+6t8805fwPFUi3jwWkdc8WmbJPJmiuTyFG608tdSyPME/xjwogts8V9HTPEaD4Dx+69A8jCK5PGnGuzwym9g8R7nsPMVU7DwatuQ84DPAPIanrzzFSqw8xoGoPN24ljwTFI08R6xzPIA6czxMioE8ZyyCPC8JbTzqanI8qGhiPKBNXDwy/VU8D2hjPHG+azx0Qj88SalpPLmmzjywokc9BdHBPU2PCz7KXys++5c1PgulRj43STA+xeU3PidDNz6/BUk+p18xPkk3Nz6X9i4+SrosPssDLj6U2DU+ZNs0PrN4MT7d2zY+KLQ0Pg04LD4MfDs+YyRDPllIPz6WGTg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0yuJz2sRC09Nwg2PYi2Xj1L/mE9F/pVPWrmYzzCIKY82GE+Pci8VD3tuCU9VIBIPQZycz35TCs9GrxNPR4OiT2s84k9nOZsPfPnZD0uKXU9hDVZPXkVST1ahlM9PappPXkrYT2dtIg9SNyTPexblT1AlJI9C6eWPcdknz3p+Jo95yeSPVTYgD2D5YM9tqlxPasLaD3T8WQ9HoFbPZtmUT0wZ0U90F9KPVY2Uz3SQXU9DsN9PcGHWj2rslg9XBxkPbIWYD14gl49cvZXPYxcVj3PVGE92GKAPQxzgz3OW3s9MLqCPX8Tgz2bZZM9YAiKPc2Ygj1/QI49tKOVPYnoZz0pjTk9qVdEPXkrQz2531k9W5NfPTSffj1fsIg9TUWPPfgvij0cBNQ9h9TBPVjmSj1mXz89/wI5Pd41Qz3h2UI9PfxPPT+UTT34y1Y9aTxpPYdVVT0xIz899ChGPZDFPz0jkDw9z0Y6PYlFJT2XLjM9Bl1NPSgRSj0Uyk49HY9kPQu+Rz2WyjY9qxw8PbFSOD2u6Dk9cHZJPUE2Wj3+xFs9/cFkPcBfgD1zJn49j4RYPe/UOD3RxSE9oL4ZPS6vEj0m/xI96y4RPZ7RGz0lqys9Qj87PUvWOj1ZjD89ds0/PVt6Qz3pnkE900I8PbsJOD2+gDQ9hF9KPf78UT3dNEY9/GFAPQ+SUz0gCVY9NZlHPaAAPz3oVUg96gdRPX5vVj2Va189JvdVPfltXj0hym09CYdvPa5rbz2LEHM96MpnPRwodj1HbXs9Ox+APSYxeD31Roc9Y6Z0PYHrXz3Gd1s9XRVePUqJWz0XGYE9GF6JPc6njD04I5Q96OKFPRQdhD1O6og9ws1vPaqubj3gO2I9rH1MPVOOPT0X0U89e/5qPegygT3qCYk9ns6MPTgvfT3fgHE9B61uPXvEgj0Ho5E92bmDPUwnez1VWHA9bPpZPfzgaT2x72E9FTJlPZSzaT0muFs9UQw5Pau3Mj1NRDQ9pbEpPUSBJT0OBSM9ygciPfAHJz0MfkQ95NFiPVfrZD1SZB09+DYMPdBoEj3nIxY94L33PGZl3TwzPs08xLHEPDHdxTxMfb08GCfCPA3ZuDxbdbo8cdzJPFWaqjyz6Lk8+H/FPDMpuTwh2LM830W+PNxhzTzPysE8Kfa3PBn9wzxiTMo8VJbMPNtGuTxaD708WRa2PLKVszy64K88IKewPPnyujyIks48dtjcPFXW2TwaZ908oDvfPEuCzTyoKdI8aqLMPOkMxDwkO7g8p0uxPHgDqzykTq48py6zPLMlpjzeqKo83i2xPDt4rjw1Gro8KWu+PCZ3zTxwBs88t/rXPEgb1DxCxew8uezkPMsfvDxzDcA8ja7NPG9CxjycscQ8HdfiPLq67Dxy6tM8lHu7PB4CxTyPlr48NIfAPB9l1DzH2dg8Ne/lPNCP9jx9qPQ8PZ7fPDHT1jwBeMY8Q/C+PEBqujy8Hrc80orAPNOAyTxf7Mg85pTKPJY+1jyvVOk8Lyr0PC1U5Twjo+E8p3vePFpy5DxfhPA8Ac/8PIrJ7jxt2QE9/oMNPdUAAT2f5vo8jeHvPAkZ5DwRrvY8Uqr5PC/p6TzvV848zlLNPLUXzDy3cug8eD/lPN6G5Dwd+f0803v0PMYL7Dy2M+o8BgPQPMv85TxvHvE81eD7PBPR9Tzi6Nk8zpHFPNu9uDxdXrk8H069PLhfyDyTKtg8kozjPO0xzjwt7d08Y+btPEXb8TzMRu88J637PJj17zwFldw8iNnLPEKWwTxbMKA8vf+PPHjHozxJ6q08/huzPO3Qrzzoja08wXSpPEr3qzywrKQ8qm2jPBxDnjwD/5U882KmPDHkqjxgMbQ8lV3GPJMg0Tx+ocw8q6LKPFScxDyvZLo8zaivPAP1sDyQ/7A8JbHDPCaozzxiBdI8ruqyPHg2sjwyhLU8F7W8POJL0jykR9c8zzbyPHUn5DyUQcA8WTa9PKFBwDzeRLo8F2u3PERsuDyelaE8q/qgPNuIpjyqDLI8uVi5PGVwtDybt6Y8rDuqPBBJqDyHS5I8PaWQPMZ7mDwUMqI8oRaaPCWLnTxVz548+xygPJCXpDxsH6w8uPa6PJW3vjw/+sk83PXIPGpT5zy6F9g8DYWyPO6ctzxQAr484lOvPIh/wzx1h6w8leqqPGtnuzxZDtM8QufWPMnE2DwIpNM8mWO/PN12tDzZWKo8fg6vPIFtwTwJA708hwa7PFdy0jzWjuA8a+ztPLfC5jyzLN48pubMPLMz0TzSc9I8xMvaPMBg1zyaT9I8SQjQPKMN0zwrJOA8vfEAPd2/Cz0qvQI9aZHyPPC+7jyjqfs8NGMEPV+0Bz1X0Qc99cYHPbIl9zwvXvk8ozPwPE3q/Dw4nwI9nN4NPd8oGT1ESgg9t2YAPUOy+TyywPQ89gvuPN4y9DxGnv888LwKPQRyFD1FZAI9kOYBPRsu9zxPUf486L/4PIzT8Txcm+c8xWnhPJPW5jzMXOA8i8XWPF9P3zyjTeI8MFj9PETaAD092Og8FF3fPKrf6jx8Q/E80jfzPCiN6jxseeo8jAPdPOvBwDw1YL48iEXRPJzKzTx6GOo8IUX7PHI1/Dy+++88p3n+PHMiAj25WQY91LcFPbauDT2a/w09Nf36PNtJ3zzfKe08fvkCPbPSAz2KoPQ85QjcPJnF5jyqO/08pOIGPQE4CD0+JRU95/8VPTszCz3P3wk972UBPVxVAD2bNwQ9pMD3PEw08jxTwvw8iaUKPXdECz2gews95Aj/PBdm+DwJ0+s8kTHpPIlY4TwJ8QA9ILADPSyv3jyv4eY8oIz5POLS/jzou/I8m6nhPMLuuzz/FKk8EGq4PP53uzxSrL08PeWvPMw/uzz9Srg8vRm9PHnjwTxfudc8Bf3kPO8c4jxGb8k8NlbHPHrewDxV4ck8UFHXPHyT3DzoHM08EhPKPA+FtDyNoZo8R6KNPDJShTw4q3U8d46CPI73hTx0a3E8id9nPCMAezw7g3E8o+xyPDm4hTzARJQ8emQjPTFeeT0497o9opAdPv9TIT6ash8+lDdLPn1WLT7X9VY+wfgmPviDQj6g6jg+N1IuPsYoJz7guzY+984pPqGvKj6RZiY+owgiPmbVMz6JCTo+OXM1PgrXLD4S9jg+byg+PugXQD7ZnTQ+5bxAPrdvPj5gv0s+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8YjRw8o20bPbIsdD31umM9H04UPTxJBj3IbFs9AxCIPHit7DywDTE9IqcqPSIuBz2hC249Uk6MPewdOD0JgVA9LGaGPc1nez0phXA9i+hiPZi4Tz3JNUQ9aAxdPcKrRD1TxUc9EdJQPZRTYz2zV2k9vU9PPXXOSj039FM9re9lPZAWcT1MkXI9UfNxPUGUeD19E3U9EJZoPWFTcD14xoA9hAmIPXyhkz1um409jfhyPZyufT04Nog9HZSYPSpMnj1l15o9w+GBPcuRTD0KmTM9dsU4PZFsWz1ByGI9FqdfPaCUZz2cmYk9ZkOaPRkZnj3SEb8+8dABP9IdfD1rwjk98cE0PS9VUz0PyXU9lcBiPZ5RUD0Mml89eQ9oPY0scj2u3VE9LMI7PdB7Pj22V1I9hFA3PZ3dLz37Kjk90wFLPd2eSz3DaTs9Pdg7PRipOz3/EC49YbYyPSy0Oz2PRz49k/5RPc4oSj31I1E92flPPSM0QD1MUDE9PapFPeWYMz2D/SY9N4k0Pb5QPT1HXiU9+RIaPXkjMj1AXzo90j81PRr2Oj2ghkQ9eOVMPfeaTz0PHUU9QlM3PabHND2MoFA9V6pOPUNVRz1BT0E9mDY+PXFwST0QFFU9Ra5TPTe+UT1qWVY99vpWPbyPYj2K7Vo9pxtWPUP6az2n4mg97zZjPb6vZj2RA4o9wEaSPQpWej1Q6oA9hSeKPQ6JfD2RR209EWxePY1ncD3UPlU9XxFSPTlybz11soU95I9pPZTPaT3vA4c9a5R+PbUmez2bong9tZx/PRSsfT0y7GU9holkPTGRej05D4c9D5aTPSgNiT3eI4I9t3GCPWFkfD12UH49ElVnPZKJWD1fNGA9g7NWPVpMRT3PMTk9k8VKPXw2Wj1wmG89X3R1PZt8Uz1zaDM9BwkwPa8QOT1m5C89BvwbPbduIj19jhk9UmscPS7UDj0+vw4940gQPeXQCj3nEwI9aGv9PB3KAT1A++A8sxriPKQx9jwhu+k8dBLrPFaqzzzZy8Q8y2DKPKiL5zxFXvg8A33bPN/pzjzZE/k8oOHYPF6y1DyQl8o8DvvePPzN5TxxEtE8U0LHPDt7yjxivMA8l8TCPM9PtTzhEKo8c4rFPHYlwDzhPqs88rWyPI+GrjzJZNA8qiDJPH0F1jw6LsE85bXBPEZ2xzwKyNM80ZTWPIaH1TzHrME8iuG9PKuHrTwi3q08fYWYPOGBqTw6+K483tWtPEauwjx6+s08ZJDUPBUa1zyikdA8oQC/PBG12DynVNQ8Sr7IPPUTyTy6itI8DLO/PGk5vDxeG9w8KxvpPFq86jzXfMw8C1PCPBkD6zzGYN08DEPWPJJm3zzJHPE8y973POsp7jxt+vM8nTm9PO5vsTxUBqw8bFfPPNJfzzyqgNM8QHXOPNxb0zx7AcY8gHLePLDR6zyxQeU8p8ffPGHz0jxLK+Y8g+D4PLlo6TyF9t889sPvPAXn5zys9+g8G8D2PMW19jwnxv48Q+jxPFzN8TztvdY86XfEPLJj0Dw/s+Q8METIPICbxTwiW+A852PjPGY7Bj3l/RU9mogRPcyu8jx0x+88c47bPFFy4zyOUdo8yurbPM2o3zy198M8HhzHPCGOxjx+Vck8Xp7YPFYt9DwdR+w8sZ/nPNFB6jwn4fg8gWYAPSvn7Dyp0ew80v/uPEKJ2DwgIcE8PZWtPA5CtzwEAbs8+dCsPGTypzwwhLE8v4KvPNCOpTydMpU8bpCoPAkctTxHI6s8H7SdPHlpmTy216E8BOasPJRpszyeg8c81zzVPAOYyjxCIrk86T+iPCvtoTzGsZo8rSesPNV+vDzmx6o8xIWsPLWopTzFuaI8SeypPJW/wDyc2888QkHhPGXl6DxCx8E828rbPCLB6TwXWcQ8F828PCsLwjwBl7c8CsKrPHaOrTw347E8n/KtPLhKpzxmcaY8fKSqPLJwqTwdLaI8ZFKoPOcmqDyH1p08QgWbPHKimzwBHao8MRWwPA/cjzwKMpo8PUGcPE5ejjyK9ZY8PZSvPHwNuzyH+8g8EFrOPGwF2TwIns08YWq2PKLltTz7sKc8E7CvPENqrzzET6M83HKpPHkkrTzQ1rg8EsO9PMBlvTxRxLY8MwyqPBqvrTyALrU8QJK6PBGaujwecb089lPcPOfa2zxVaNU83LXVPIvp7jwwxPU8riflPNVE6zzeHeQ8dO7GPE+/vTwqj848N+LRPH/R2TydMPk8kpYHPepBFj3H+xE9eaEHPQJN/Dw2vuo8pfnsPOjY9zzFC/U84yXgPGNY3jywOOo8xsrlPDNz5jzw5t08LuT2PAv6DD2S6wg9lKcFPQqXAT1WAf48d2zyPOn9+TzacAY9xAP3PHho+Dz/4wE9DiEKPeZUBD1M8fQ8WojuPIG66jwJitw87xbcPOIQ3jy1xe0893vfPP5MyDz9+MA8JMTVPIe61jztZd08xljkPMNb9DxMNAQ9xU/sPLmT6jx93/M81uj/PDdM5jxr3Nw8Ig/nPDR15TyqofY8J27uPIcQ9zz4wfc8IK8EPR04AD3xcvc8JiLqPL8j/DyQHQI9A7zwPM6C8jyw7OU8FVLjPIYd3DxpS+o8va7YPFoO3DxF/gA9SBsBPSikET2PDhA9MqIPPcOrBT3N7wg95CUGPT1eAz00OOk8DDngPCEn+TwfWgo9VyMOPTNgBj3U+gA9kR4CPdui+jyN6f48u5DvPA+h9jzMdgU97LfxPB+L0jwuf+M82ynkPGsD2zz6m+k8E2rWPIamojypRq882jTGPMyWvTzSi8E8FAS0PP68oTz8kKs8DMarPKKiwTyKrdQ8FurMPFZ00Dzs0Mg8vSbEPFI5vzwWwcU8HOPMPIqPxzw/GM48HWrZPDqntjxJQ4g8Sbl4PFq3bDxKl4M8eV6API2jgjwEaoE8OFeMPGZW7Dz+FJU9V2jJPeJs9T3uoCU+lW0+Pi9tNz6u6S8+G4BTPip9Pj4D7kg+6MpRPuvDKD7qVRc+gxQpPoLMKj4SNyA+QY8QPjONND6ugFI+1JYtPugWFT6zxCo+1vw1Ps2KLD79qUo+aF5QPtscOj4XfjM+wu1JPjuYaD5Ak0k+2mFWPsS5RT5zwyE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/xHQI9BNs+PUXwHj1Awjc9dN9GPUp9Qj1d4Lw8qcfkPHJeGT33QTc9Mbo4PYloNj1pEWI9dJ5FPUl4Tz1C5nc9CkVdPWzVWT3w52Y9lUiCPcB7ij0OiJE9NTaHPbChkD0SSpE9d7miPfrSrD0Dgok9VdxHPW6cUT1+ols9O4RwPYnpZD35QXE9zOOAPXZlez3jE4w9CKmjPZhmlz0iO3Q97f5YPaaWNz08oEE9Uc9cPYXTYD0gWW09EYxjPRGMbT0UJn49NIOAPUAjbT3pdEg9w2A7PfK1ST3PEU49RS5CPR7iST3V40c9wM1EPZdVOj1lBUY9dhZLPZBsRz24h0I9Pds4PZR+Pz3mgDw9e5dWPfiKVz0uwlo9+DpePfdVRT1/Xyw9BdkxPaPhJj0mgyU9eHowPflrSD2hG0I9Y3I+PWsgQT278D49d047PRDdOD1oa1A97VJVPUlCUj0fYT89bCs/PS7iRz0BoEw9J49TPbr2WD3pxVw9kDdYPYVMbj2w+GI9HABTPWkbWj0r52M9c19xPSY7aT2izlc99x5QPXDXVj0p3l49tVVlPfVRZz3hqVc9sUJmPR1JXT2Efl09qK11PY+xaz2xTW098T1vPRIUZD0rXVw9pTRpPdZ6bj07v2w9mDdZPS+0Uz3jdE49rIVJPd8kbj3eoW89EGyGPXn/hj3A8YA99eSEPSLwhz1xvIU9RIp7PXZ7eD1wWGc9H0NYPUbecz1mznA9P0RePcKgTT2bbDQ9WNc1PatRMD1UBDA9LEtVPSoPcT29BXA99NBkPQc+OD06Bio9eDsqPf12JD2hOC497qwmPXrhIj2CPhE9C9XyPKNMwTwXmc08QV4BPRyP/zxAQcs8wiDUPK8b+DxNSuM81NjpPFBc5zxV5uo8QB35PBKb4Dw3e+s82OLePCVI3TzqE/E81jDaPG320DzwPto8YN65PLC5pDzbba88Nxe8PAiC1zx7Y9o8Ak/XPFBrxTxYmcQ8FpbEPIpk1DyRVNA8rkW/PM5Ewzz7l7M86PzAPFrVujxVYL880gTDPHsGzTxtjs882O3PPGs35zzMkwc9kszTPEEIxzwPtcM8iHG4PG5JuzxSQbs8+Te1PPP5sDyN06g8l0zAPF9O0jx0YLo8rTC+PNw5uTz2L748JDraPOHv4jw/DtE8q1bOPDFQxzxaFM08bQ/cPAjH5TzScuQ8t/LaPHHH2Tza5vY8kQH/PNRQ/jynLu08UErmPIVz1zzMdM08OG/BPH5GzjxrO888+YzBPDKJszwzprU8aRDSPFU4zzzelss86IXNPH55zTwJU948PyHXPAdG3TzTxc48y4rXPKWw8DxmYQI9BJgLPZdJBz21swY9y0oHPeM8Bz2XnAM9J6ruPDcn9jzyFfo8bCXkPAKuxDzBCtQ8HA/ZPNhj2zw8O+M8xoLcPCpy4zzPZwU9QkwGPVV2Aj3pVfg8Gj32PD7qAz2huA497IbJPDOUqzx1AaQ8QpyuPB9ywjzJ3cM8abjCPFvX1Dxx29s89xUCPaPDDz3BAAE9RdX/PJviET2saho9Nl0aPb0iFD3UGQI9eOXiPAuX1Ty+fq08ldCePHiJpTyiA7E8kWOrPNe7qTwtOqM8JrepPPIgoTz/e5082oaiPDZvszw+Vr08Ag+8PIbMsDy1V7Q8YuS+PAwTzjz+bM48quKzPHVcmzwoe5w8CXyRPMDgljx576M8XbukPMRgozyXdI48+QuNPCfkmzzvP7c8S9/CPMUAzDxL5cM84yG8PKl1rDwNOaM8La+vPEQEsjzUwLM8mcC7PBrtuTxOsbs8OOTCPF/QuzxpPqY8NVCjPLF/ozxEa6A8o5aRPGSpjTyos6Q8rmyzPDLSpzxM65o88aKVPDqsmDz9LJY8TCqUPIVEnjz6qpc8B4qNPC5DkDx9EqI8do+2PP6ZxzzxmNU8MGLCPFJ7vTyBgLs87hbAPCnmsDzeTKg8zAmpPO85ojxITpM8d5afPDcJnjzuL5U8LZeoPBXStzzNpbw8OO+7PKuTzDxp0NA84/3XPKQnzjzCh9489KfwPB4K4zw1o948RJ/qPGfP7TynFeE8urz3PMGp2zx6ArE81ze7PKzjyDxObMQ8uAXIPDwe1jxesOw8zeoDPQjI/Dz+FvY8nEf1PHx4/DzALAA9Y68JPfAyBT3Dnu48amfsPFDA9jw+dus8hEfcPLE13zzRb9M8W8jdPGWC+Tz8cwY9N8wJPULZAT3yse08tOLlPMLe4zw0C+o8jfvpPHZp7zx0CwE9gg37PCxa8jzfTvs8Qfb5PPpp8Dw/gdw8hpfRPNvY2DxFDNs8i9DSPNrM0DyJq9A8pMLRPDsV1TzVbM48YA/ePHns6zwxue887ZT6PLkBAj1Gh/A81/vnPMn85Tx/GtY88u7KPO9Z2zx6ht881uHkPHW+/jxX7AY9B3v2PDMrBj0f1ws9XUwCPQ6V+Dx1d948V7HlPChD9Ty/mO889XDvPGHbAz3wagQ9yYAEPQQfBT27/v08Pmr5PHKg/DzEMvs8mkv+POcmAD1NtQo9qb0IPYXd9zwEduo84MfmPKTm6Ty4A/w8unz3PKZF6zxmKvg8v6UDPRkWAT04bfQ8VQfpPPpL4DwqKdk8bZ/EPEeitTyxDbo8PqG2PBgIwzxVQc08dz+4PJGSozxrhZk8IH6sPEO1vjyLSrA8QY2hPElmmjwfFZ08wlWjPBXZujy1N8U8CBPFPFvxyDzKDMs8lFjFPFURyzzVDs48Vz3LPN/iwTyz0dA8TTGzPHgxljyA4nY8hwdwPO6NkDwwsJs8sgqNPG3Tjjz/WI48vl6xPEgL7z1wM1Q+onNSPgpGRT7hjUc+nXlGPgcPOj4muCU+sSArPgKPNj4FQjs+CDk9PgAEMT4W2jU+o64yPr71Lz5YNB4+Zc8mPotUSj5rlC4+bIBAPtMSMT5a7io+zL1DPonbQj5ttTQ+pbZRPuysVT41XSs+sYAYPkqPRT6FOUk+IytQPqR3Kz7nNgc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/7LlLO8qOyjxGeFk91VYmPQk7AT2Fqxc9Gt5GPatYDz0K30w9dtZIPTjlOj1noks9pMFQPZNllz2UvFI9IQFTPagEVT1NkGc99UNdPQ7gbj3Dv4c9xGODPRsxhT2TyoM9ncZ3PYKVcT1Wq0Y9YgI3PbsqOj1p6lU91GZhPYVocz0IL3Q9Blp/PWUYhT3YYIU9DYpMPdijTD3r50I9ZeZEPZY/Sz1CP109FKRYPRF0Pj3t8iU9D68pPe6tMD1itTQ94kE9PTluPT3Qxzs9Za1HPYUsaj13flo9WJ1cPSJOaj0OJ189DGFYPfl7Sz3jFTA9/lQzPT36Mj28uC895PU0PTo4Wz0z9nE9mzpYPf0bQj1gTjg9nvpNPXWgTj1PdFw9IjRYPfPPTz1TDFE9/jhYPUDjcj25OGo92N9dPfvQYj0os149d59YPUGGdD0U34c9puKFPecbhz09J3o9rUFzPQSaTD0h3VI9hONMPZbXVj08w1099yx2PR8rbD3dzFQ9WedTPSYrUD0o91o9DoeCPWhXgT2XQ3g9obNsPfS/eD32SYE9nayEPcPkfj2D4mE9lLZePSQAVD0Sm1s90E1hPW/7dD2sn3Y9OOplPUJ/cz3xZms96xuGPTsUgz3tV3E9/3hhPTIAXD1sd2Q9KFNbPZA9Zj0fdlk9qt5IPWVNOD3RnzY9n+g1PSVZKz2AOjA9ckI/PeQrQz2gWUE9LDcnPfxLMD2cJjQ9ruBMPT2vTT2NxDw9EkE3PTubLz3sEiM9MXHzPCzizzwvkNI8+sLpPMG40Dzyr8c8hCa4POmxvjwHzrk8dTG0PLftwjxFWME8H1zPPFu31DwReN88LH7MPPIlyjwbWdM8VbvPPDm10zzvvsk8a126PM0KszxIrcc8HkC7PCBx0TwWn9o84rfRPFjkwDwhm608zLS4PHTr8zw9p+k8i7G+PEM9szw18bI8ev/RPGIf0jxYjMc8YxjMPGYAzzx0Mew8gIrgPFxg5TyP6+Y8il3MPIkXtzzImb48KwXDPEX0yDwk6708/SazPHjbqTwM0rU80vnMPMEt0DxwV8M8MxDKPCfWzDzfrsM87WzUPBpsxzz4/7Y8Y7quPMCvujzijtM8tBnrPMMW5jxY/848lofZPH3f5TxxG+Q8xobePDSb7Tyuj848YHP0PHu94TxWctU8xqPCPJFeuTz+yso8yl7RPG841DzPQ9U8e6vgPGN80zxvH8g8VjrkPHPb5zyBPeo83LLXPNpn2Dw/5t88P7/5PKX3/jyjfQ89TX8KPd60Aj2PvQM9v0wHPQwOAz1Hgf08+nbwPMQT0Dwd5tA8xKvfPJb6xzzEF848JVjbPPNm9DzO1wc9vH4HPTneDj2kywM9614EPU539jzW2Pc8yMsCPW1i9Dyh3Mo8A5m7PK9irzzVDrA8Jgu1PEtevzxQ8sE8CV+/PGJGzDwb+dM8bwYBPVnJEj2d+x09luonPU3wIj3MBhQ98l4DPZ2q6zyso9I83LnUPPgq1jwlBrs8tP2+PL92qTwJkp88y5udPA7CmTxcWpA88zifPP/OqDyfy7Y8sJ+1PPgvyjy0X9c8mW7bPNrfxDzWW688adDAPBTc0Two4bc8CqmzPFnksTwMya48O16cPE4ciTzroJU8s6qXPMVwjDwAKpI8JIOTPARUpjyF6bY8Ip2tPFForDxcsbQ8D/ysPGNppDzc16s852SrPB4bujyczrc8vt7CPPrpvTxePbY86mirPCinnTxVy6I8CXamPAO5qDyhs5k8GNWUPHt+lzzYqZ88XbOmPNYjozyxnZM8ypSMPJu+mzzZ/6M8aL+uPJ+bojy/0J48EEylPGPhoTzMW6o8gby2PA1kwDxN7cE8JPOsPEcmsDwzL6o8GXKsPNGPqTxNnqM8biOkPF0wsDyNdq08q56oPG5yozw5gJo8HGWoPHG+sjwrYrM8v6TBPG2ezDwETdA8wdLYPOuQ3Tz3xuc8aLPXPCsO0zwMecM8WAzPPNmv3DxmDus8UuzpPH5A4zxZxs48GhjHPBQFzjwVjNY84HXmPBJB5jx2HPo8f9T5PEuz/zxo4/c8tZ7wPHx78DzHUgE9agkGPTkdDT3hjQY9EH0DPZXf9zxGm+k8AUfyPMpS6zwVC+Q8UZrjPBIU5zzWvPE8kCf4PLyi8Tx5d948G+XhPOJj5DwpzOk89x37PJEtAj2LSQM9dgX4PPCY7DxT8Oc8Wd7uPAxf8DyIlus8C2zbPAKu1DyrJ8E8JRS7PI99zTym2Mk8FcjHPIFJzzwzuNE8mcroPB1a8Dz5C/g8fJLwPMiv6zx7XtY8Ao7OPJrV3zx5s908mQ3NPJy6zTzT6M48bgHkPJeRCj0suw49Jv/+PGTNAT1mv/Y8vvruPEjV8jyLR+o8KljvPFwo5zyVSeo8nLn3PHzT8zzIpfQ8Hu4APdWU7zzDHuY8y/zfPEJV+TwMRA497pD8PDac+TzpGwI98twPPXsrBz1QOAc9Zw3+PHOK4TwvWt48vw7hPC1h8zwWQfc8fLz+PKWi8jwPuAQ9n5wEPZWX/TyBke48GgvFPGY/tDxlfso8KrXXPDhf0zxOSrY87P+pPLMlqjzeyZs8uLeNPBoogzxtDIc8IdeRPOkUlDwdc588aeSwPCj7szx/JMM8a7LePIuD3DylX9c8np3OPHPuzDzYpdY8JdvUPCCY0Dw2lsU8ZZOEPN4NUzxbv008FQmQPJlNsjxe8Zg82aqGPNZndzxf5IA8diWcPCj6yz0zLiw+TNJRPva6YT72SzU+l/45PtebOj4iLDE+cfctPgbPMT7LsjI+iIgzPmKpOD7nojE+erAwPgjGNz4NKB0+Sg0xPuh+Mz6igiM+2FdLPuqYUz7k1VM+AKY9PpurQj4WizM+tZMnPnroKz6g9Cc+XdwzPgHFPT63fEM+PmE7Pjr0MD4yJSw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8qZds8u8VBPSWuNT1K11E9fkIePUlvXj1syX09xZ7yPFkdTT1uhjU97yQSPQS7Ij3IMyY9ravHPAqSED1phzE9sj5EPWbkWD2v5kk97qNPPVTrRD2ILyg9qbk2PRdwRz0RkUw93l5OPYg5RD2S3k09mPU2PXqjIz2zOiY9C5EXPaP8Jz0mlEQ97DhbPclOVD2R6WM95HVgPUozZT16c3I9wIlvPWnCbD3HAUg9k8xpPVNSXT3BMEk9Nn5mPXdfVT0mD2A9e9RSPcMgUz2vJFM9S/k2PdFjRT1Mm0k9eZ1EPXOyTz0I6mo9lZFdPb4NTz2cW109+fduPVTEYD1/8no92ASJPRQhgj3v7W49lrhWPZB4WT2kRmQ9EeNmPdzVZD0j0Vs9Qh1XPZ2lRz0+fkQ9DRBKPf5MYD3vCG89nQNmPWQ3Yj3ZzV49VPJ1PQKTdj0OB3A96o6DPSOHjz1HrYY9FFSGPapfej2LDIE9u6OAPbZQdT1qDXY9DxFdPY+CRD3J+kk9bmpTPQwrTD1TgUM93EpYPTywcz3a/ow9P1mCPS6GRD0bzTY94z5bPTbydT2YMW49Kn1ZPWidVj1Pf1w9vFxHPZshOj0E/jc9lgcsPSpwLD3AdDY9TIlAPcgMQz1m8Fk9//xjPTxOXj24yl49V3RdPU3qSj3BJz4930YyPSCSNz3wric9eWIEPe0kuzxdgbk8TfvLPBj/vTxb6MY83py8PMBHyjwkU7w8bLqqPOFHtjwAs8Q8eU/RPEPetjyhQcY8ZeSzPEHxsDy0Z8g84vXEPNIWuTws5bs8BrXLPLB6zzykGs88NhPJPN6WyzwPu9g8qFfVPOM/xjzs3K08dA/LPK6Q3zzjTuE8/obxPF60zzxvILw88J/LPMLZ2jwEY8s8q2q5PBRG1TyfrtA8g/nKPO6K4jw1etA88ijCPDjkwDzdg7Y8Y+HAPHGbuDz3na08zruvPINFrTyikrc8fC/UPCtP1zwnntQ83dDaPJ9J/TxvZOM8WUnKPLLxwDwHGLY8gFOoPFQ1uDwMRLI8cu3HPIdgxzxP/ck8VK/NPCcYzjz/W8o8tF7hPIcH3jxquMg8Qi7IPGC7qTyIzrY8ETDIPJRbvDykLt48B43zPJYM2DzFkNE869HePKyi0zyEecw8NVTKPFKsxTy3RdE8mxTvPBTNCD1ZTwE9CwblPGOr8zyDbww9A1YKPS+gBD3ytQM9zarzPPrU1DyP/9Q8BSXhPH3byzyyZ9M8oqTUPK0v3zzgcvM8TlLlPN/q7TwFUA89MPoLPYzW/TwobPM8ZU0EPUjkAz3QnvY8MlvqPGot5TyFeeA8/NvfPGnc8DxKYtc8iyPJPFy5zTwbDcg8lDXAPOfUxDzpZt08YpMHPYPwHT0khCM9aFgKPek+DD0C0wM9VZ7SPJe8szyd+7k8cUnZPPij0Dx5JcU8nECwPE0hnjxuq5w8EzCcPAOTjzygzJc8svukPLRvpDxS1Kc8mwCwPAkmtzz1qKM8XMOlPJLDnjzzAp48cjqoPGWwqTyR68E81NbKPEJUnjy6q6I88kmYPD3fnzwybqo8u+yePD1Fkzx9L5s8e16dPO2LpTwp4648ovGxPO7/szyJkKs8fRymPHNgrjxghbg8isyyPFejyjyfkMc8Dm+yPMygnTzy/p88tLurPNpcpTx6Vqo8nWmsPA3mnjzmZ5885gefPMAZkzx4Kpo85GWjPESmkzxHvo88CxWUPOkfozzRy588MgyXPOeEnTxF1q48QkqjPG1TnjxMp7Y8zcLVPFJtwDwh5ao8icWfPBYKpjxus6s8dFmlPKpbqjygfq08VBmqPGI6qzyfAKw8qeekPFuxmjw7g6M8IdCvPOizsjyrU7A86KO2PNgWvDxwO8U8/sLWPLXt0DyWhNc8OqnYPBCyzzzZJLU85WqvPIXKszzU2648jW2lPKuOuDzG4LQ8ZW7NPJWq+zyHqPY8IqvaPFLv3TwffvI80bYCPaR6AT3E2wM9sdP3PE+9/TzPcAA9f4H+PHfVAz10fgE9C0MJPQoD9jy8D9w88xzrPP5i5jwQQ+w8fCf0PB5i6TzNdvA8ECn2PHQN1TyouMk8qYDtPO7TAD3Uqwk9JVYTPb/CAj3pePI85qrmPEfcyTygSMc8CnLPPDzQ7Tz+b/Q8McnwPGrO1TynstQ8dXvMPKew0jwezck8cjPcPKWO2DztWt487sLmPHfb5jx77Nw8xwzmPD4q5jxSme48JRLsPJ7F5TylN+M8DcDYPLEv0zzTb9c852flPLFXAT1E2gs9DL/mPHo80DzADNQ8sI/kPKPh0Dzycsk80RrePKoC1zx/79I8nNvkPKyB6jyd4Nw8xWbkPECH2TzMF+08oJMJPQjODj01jwc9Tc/9PDTaAT0yawg94NkRPVCDEj3mCQc9cnbwPPog5Dxj+eE83LHbPMAX5Dw5B/I8PkkHPYpqDD2cXQA9p7vsPA+fyTzNLMA82Hu9PP+/0TxIJtY8PGbZPD5G1Dy2FrY85gumPC7Plzy1L4o8wERwPKMmgDwPYYc8nZyQPGdumzz1QKo8xvyvPOJgsjxX2MA8rn7QPL6Q1jy8Ltg8QIPLPGttyzwjidg8eZPTPKhUxzwieaw8/VF9PL1FSTy8eko8UBuUPB/LpDxbp4w8n7iAPE3fujwex5I9d1AFPrHvHj75r1Y+UFxdPiBoRj51wTw+nYUoPh8lKD4sIzU+rPMyPiSFNz4aGC8+SVArPtBDOj6oKTM+HPkxPn7HSz5XsUM+lA5BPht3Kz521Tg+xvQ9PueKQz5yNz0+dF00Plw1Qj4hqS8+DN0mPhCKLT5k/E0+CfxNPpMRQj4DPUw+Wo84PrQGPT5Tb1I+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/vq4xPGdp2zyItwg9wf4HPWfnHj3sMx49lWIqPVjYDjzs7Zo8pljlPFDyxjw2g+c8EswJPXGaJz3wjNo8QQYPPR+9DD2H4fI8dFMPPUNXLD3lREA9ANRGPaCySj1XRVQ93QV2PXckbD0Ppnc9h3t2PfDiez3FJGI9sFBbPYiYbT2Oh2M9gMFsPbOlZT1GiGw9fyddPczCTT2ZxVA9AWBjPb2URj0pekg9gyNLPQmNTT2H2nM9gGuJPRuNbz3vT2Y92+RxPflsgz2zZ4c95r6BPfXTXj0vYE49Qq1EPaKMQT32eUQ9A2BOPQyAQz1UCkY9VAtQPW82ST1dIkY9rtZYPbUqcz0mr309AoN7PUqhaj3PiXE9y0mNPQf7iD0sv3M9akB0PZYCcT2ZvmU9gQhoPX8vZT0sQVk9UClKPYz4PT2NLlA9ht9IPd37Qj2Y/Ug9U5ZKPYbVUT2SZk895K1hPU4qbz0IKFs9TpBGPTsmOz0w0Es9TvpUPfvnQj0stjI9vdFVPXn+gD2TgWo92ZVAPXecMD14fjs9ObkwPXufJT2PAis950FFPeWgQD11MlE9Sm1YPW3IUz1wyWQ9BLtTPXIMPj3RnSo9hsIaPWSfGz3AmQU9WOjPPLUWqjwmXaM8NJ6xPLYTszzYCcs872XHPJlc3TwVL888fIrKPD1CsjyUkbs8ybrePMxr2TyxTqw8GuC0PJgw0Dz8fM48rFW+POmNsTzEEMY8bEXPPDTi2Dz94e88IeDWPCEq2TyUqt48P5rSPMYB2TzN4MU8ZZfBPNdB4zxbVu48ICTpPFwEyTwyjcw8L3HVPHD/4DychwM9G4jnPL6y1jxycO08tV/gPPUezjx1tb88T/zMPENEyDwB6L8811TDPFnixTxdIsE8LdPkPIJq2jwzYsU8/mnUPOXDzTwQZts8BRD6PF+0AD0uCeY8ns7sPP8g2jyAO9k8olLQPCX/vjyfy8o8saLdPLMB1zwe/Ls8dR+vPMBMtDwALrU8rfXMPFKntjw+zKw8dXCzPBdwvzxmmcc822fZPFWz0jy7VAA9E30NPe4S6TyeauQ8vGPYPLr1yzzcaco8tevRPDeu5DwaVfU8mdX6PCWx8Ty69/Q8BGn7PJBIBT37xBI9/jj7PMuM3Dy9wvE8w7f7PBD01DwlPNU8eiXjPDmt0zz1Kc888OHaPBIt4DwSmu08gIjzPKhW/Dy63P88kc8FPa4MEz1V8Rw9R6sMPaQKCD0G/ww9lCoDPeoOCj3FOQY9E9DrPGJT0jzNAMs82rLbPJV6xjwyP708xzG9PAr4wjzh/u88tScIPcYLCz2fIhE9HV8NPV61AT35WNQ8wzeyPEG1tjxfuMs8dBDEPANgszyJ1aI8pCagPI+qoTxNs6I81gGqPEd/qjzggbA8jau4PC+qtDyC46Y8kBajPHQwpjyT2aM8E0CpPGMopTzlNJ48y62pPBWGnTyvuaA8C/uQPKtUhjx+VaY8IwfBPJzywTxYxcc8tYO+PDRlqDzkAKQ8wtKUPAZ/rzwGl7E80JauPGlxqzxeNaQ8ko2VPLxplzzKNpk8diusPGGvqTzyR5o89zOdPA0XpzyMP6A8vzWePELlqjxGdZ88y46qPPfhnDxJxZs8eR6cPLPxlDy8Q5g8P/OZPNyOkDwxeJ48ozehPO2lpDxnrKE803uZPAbMjzzuj6A8CP2uPN0ktjzkR8U8LHyuPKeSpTwy3aU81/ecPMmDoTyeVqw8BuqrPKw7rDysfag8+zS3PIQAqTygaqY8iSKnPPyqlDxpQKg8VFu9PPXZwDz/oa08iuWpPFNnrTzKecE8Y4vTPF833jzfR+I8o5bGPPhwtDxT8ac8ATKaPGTRkzyUo588NmCuPNQvuTxf68M8LFnOPPhd2TzGKgA9zIjqPFV23jyWR9w8iyzYPGlY7jw6cPo8mjX2PPb9/jyOWQo9vbcHPZS4Bj2FawU9hkIDPQLeAD3QLwY9MZ8JPc2Z+zy5zv486r/+PMJB3zwmFNg8sRjsPPp55DzkHtU8PUHxPPPi/Dy/jgE9dxgGPYB68zxkU+Q8gGrUPLjgxDy0MtA8b6jWPL4LyjxIYsA8g5vFPLxvwjyGarY8zdavPFzCwDyazcE8wCTNPJr43zxbwOQ8eIzhPMZA4zwMktw8EsjoPOna+TwoU/s8zQH7PKQZ5Dwe0tk8BLboPNQ/4jxQnuM8ZS7yPIj5Cj01EQM9FtboPNSA5Tya2dc8+WTQPIr4xTyIArg8U6i9PAlsyjzVSdc860bePOjc7jySAf48n2gIPQZzBD1vXvk8E0sCPSjGAD1rlQM95B8EPR5sAj2loAo9GAIMPegCCD3QWf88+j3mPDdK2jxC9t08EoDrPEQ//jwVK/I8WCf5PPv9AT3TlgE9GanZPCrMtjy1Z7Y887iuPMMJrTzzn6g8PKufPBy+hzyPRoQ8/f+CPG83hTy26Xk8yHBnPGgxezxBtog8Yf+QPBbIljwlDaM8CYe3PNDsvzxLmMg80x/FPCodyjwvc9Q8FyfWPJPRxzzeUbQ8DCqxPCwCsjx836A8ph6PPAFNgTyYaYA8kUdwPPTDYDzNG3c8aUyfPPdOID209g4+y0FRPlReUT5YXUQ+RM9CPjAGQD4dNzI+3sgePuC+Iz4jYjI+2R4vPigzMj7I7DI+ZPYvPp4ROT5k7D4+zv09PqzlOz7qlk4+rOlHPrq9Sz5aZkA+G0Q8PiJYMz4vAic+qxkjPozuKT4Nbi4+ULAwPkp6Oz4GIEQ+Qcw9PtzMPT5jYEM+H8Q/PgiaOj7Yuzw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+C/oc82FDWPIny1TykyBE9Lz0BPVWa8jww5Dk9mRmzPBBXAj1ZVTQ920tBPdhhQT3WMik93gI9Pfc1Iz01Wx49RZFGPZGWRj0bL0o9KaxAPTRwSj0zj0o9AORTPdC5Uz3283Y92c6BPRAcYD19fGU9V2poPSiPYD1+FlI9HFZGPQJrLT25Tys9mnVKPRH3Wz12ylQ999FSPbCAOz2j6VM9fJJqPeU5Zz1rvHA9rHqDPRnThz0eJYs9o7GJPVLCaD39Zl09ATliPcYmZT1fzm897vN5PeQIgD1Y2W89LZ9hPV3rUT32OVg93HRcPSDfXD0fV189YN9XPRShYT0buWk9nkdkPdMBZD2TF2w9OsZoPfHzZj2kBVw9L+5QPagqQz29KTI9I30nPR6zPj1E9kc9ZG1ePQpiWD1b6UI9OF8hPblnET04tyA9Vi8WPTilDj0DwBI9VAMJPVsuED0XSxs9K8cWPY6RFT2Xsyo9I3ETPd33/jyEbvU8TfjnPLME3DxXvdQ8f9i3PEH9ozw8kLU8aOe+PPNUqzykaaQ88ja1PD6VsDx36KU8tvWmPP8TtTzcpq083n6qPEKSoDwmXKk8X8SvPFsuwzyAtLk8NrmtPH/ItzyYkNI8pgXGPBuAyjzE+fE8OITSPIiRyDyOVMk8b9LPPKHmvDyxXMA8z0rSPNgLvjzPCMI8F+HAPON+wTwlmb48hI3OPNwMyTwevc086tbPPBYW1zx6YO08G93bPDMZyzxO8t489SboPCLmzTyke9c8qDvWPPEo0zzm1NI8IKzFPJxqwjzt3Mo8B4vhPFks3DwJR+c8i9b8PPrF9zyVMuQ87mrHPL6dyjyjdN08XjfMPE56yzyx4+s8x9TePC0I1zwIWtA8GJTGPGFpuDyYRr48KjrSPNw7yjwBdcg8kGXbPO3F3zzEy/A8+YMCPT/4+jypmOA8RhrhPO8H6Tztnfg8Wn3vPH3H9Tyw3v48g2HxPKZc8jzGoeU8iDPoPB/q6Dx81+Y8M+DhPPDp4DzLmtQ8eOPOPFYi5DyIlfA81gnMPLmAzjz2iMw8+xjdPBEW4zwez+Q8INHqPBM+6zzjx+I8P5vbPComzTxW5e087KsCPTFoCD05mwQ9fzL+PFysAD0PO/g8DOINPVncDz2DZtU8B1+2PE/XvDwg68Y83IfTPB1JzDzgf788kZfVPE2k5jzgLgU9crsNPXZqED1iGBM9Nm0IPXf9Aj18guE8gNLJPMPrxTzxqrc8DvmxPPifqTzhDZ88KpOWPDJnnzwBN7E8XV+zPBoxvjxs6MY8LjDePDer3Dw6yLk8ZCS8PGtC0jwKpsU8ye6+PKjRszxhZqs89KK8PCHmrDxvTZ88JHuZPBsdljzQfqM8sNO3PBKDqzy0Oag8VaqfPBz3mTxbJJU86WSMPP/fmjzTa6E8xSOsPBsetDxeG7M8QEqrPBuSpjy1uqE8ViOdPOgnlTx02Zk821GqPGkitjynl6w8C3yfPExFmTz145c8Zy+hPEEinDz0Z5U8HoOPPOgvkTx+/pE862aLPIavjDzF1JM8qheQPIejkDw1EKA8EAylPKStsjwaTcg8BbfJPIMJuDyA3rA8yWqrPOTaoDwLCpg8haSUPOCfjzzWv448tC+qPC5YszxBFao8Zi2wPLjZsjw+Z6c8NpqbPKQumTx2iKM8M7i4PBme2DxaR708/Au+PJqawTzbp8U8Lc/PPNR70Ty0CL88OIe3PJbpuTy6p7I8H0exPBuXrTyGPrU8IxbDPNL0zzx7Y9c82P3dPA8U2DwpMeI8TzviPNfA0Twg4s082TDePEAU/Tz0OAQ94yQEPRYaBz1nMAw9Vc4DPfcfAT3b6QQ9gYoHPdO8+DypLew8jogFPYTaCj1X8AU9M0T3PA991jxaGtk8ibTXPDz32jzX/u48L8LqPCfJ1Dy9DOE8mX7RPKPvzzwVUMg81UHPPAMzwDxofbA8MuyxPHyDuDx6CMA8OsvBPBXQyDxzOcQ8XeXOPCDL2jxfud88nzfcPO9Q2zyuzNc8dnfqPOXs4TyxMOs8H2T3PMyLBj2IVwY9eh3tPMyE1DxDEOI8TTnxPK3f9DxeUvA848X9PLIKAj0SkwE9tMb7PNwK8DyvoN48rljoPPxC5jyG28o80EDCPAnJwjz4r+Y8sHjZPGEyzDxXfto8KnvyPNks/zxOpAk9C1kEPeId/jxVegM9amD+PNiq9zyU4/88m2wFPRtXBD1yfQ09ZOj/PNpQ+zwLPgA9lE0GPeB5Bj3chgI9ENH4PJVF+jxVI9Q8LyW4PBGkuzx4H6I8PPuVPDocjTwKxos8rOGHPIpbejz+2Hs8dbB+PDH7ejzUmX88olx4PKo/hDway5I8TWuRPPcTmjzG16Q8ZSOwPIk1xDyZjL483UDIPIYDyTwyVcE8Jzq9PNG4sjxYL6k8MjaoPFvOnDxrvos8RRKIPOo6gzzhunI8X1uBPDqytjxRFTY9mcX4PZvBJD4lhD4+bBJIPv30MT7bFDM+KIguPpdKOj4LEzo+i2osPmiZOD4XHTk+ppIwPg6MMD7oRzk+IvsuPjdDPj78fDw+Ojs7PqLQPT5ON0Y+UzNBPi97RD6b1Dg+ohI0Pn/KND4evyo+Dy0cPouSMz7K2EM+PlAbPoH5IT6yMTo+7FpnPq/9Oz6dDiQ+pp4oPrybHD5NlRc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf57TbDwI08c8IxMyPTwjKT1lmR09SNokPVe7OD0L5ww9vXcyPWrQND09jDQ9xm4pPQX3Oz3SfFA91fEQPV1/Kj0f7iA9f1MNPVHXHz0C90I9h1hWPa2cbT3sYlI9ubVXPXX2Uz16A2490nV+PXInij3HEYE9JVKIPcKiij1/Uns9tqBjPWbpTz0BRWM9dRpePVIjcD1eF4I95/t7PQYQcT1TX289xtNKPQUnTz2wilA9HdJNPXVuWT2cB3U99xCDPfaqgT0uH4k9rlB2PbKeaj2jlIM9htyDPb+eeT1CzGo9UF9LPdIXPD2U4yk968wtPefVKD29mCQ9jlcfPUB+Dz0S2gA9GEb6PMAT+zxTqg09cEYNPWsaDz3HbA49He4VPU+JDz3IgQM9IbAAPYhdAT3K3Pc8+y7iPFAf9zyfSuQ8J1rJPJl/wDyFWsg8IaG+PKE/uDzH0Kg82O6vPHWwpjyER5Q8AHChPGgSkTyOf5c89ZqiPB04oDxsgao8wi6uPFk2pzx0Mpk8c6ebPJ7AoTxNyag81KysPL5ntzx7Lbo8tx28PPeQujwGOMc8Fe7FPG5yzTwR/sc81+rGPBLOvTw1+rc86Z7SPJEixTw0QMY87JzVPJBIzDw4ltA8eQHaPNyg4Dw+YtU88HHVPBj16TxWJ/o8gfv3PJ+J6Dw069w8R2jPPCzF3zxNuOU8mOTUPKkmyDwCSMU8W+7GPPdT1TxSueo8rYXZPGHv6TwZDeA8/27hPF0T4zzK4+485MXZPEQP0zxQjtQ8YuzMPH7Q2TzCMt48ek/VPMpuzjwI18U89ajQPOwM2Dw63d88GtXePGt80Tw2KeQ8aon2PNvcBD1thfg83KX+PC7E+DxKEOY8SLThPJN18zyfcgU9XQD/PK3t+jyH6+Y8dMjxPF/KAD0PC/Y8oRbyPEZK8TycjvI8LEfnPNTE4zwvhug8O18DPRhOAj2jruA8e1PaPG1a2TyvxuY86Or0PBSv9zxD5fQ8oSfmPDBG5jzi3OU8FC3pPCOt7DxSYPc8cr/7PKDX4Txzb/08hTLnPCjz6DzhgQo9I6sLPaVz4Dzbv788LrnGPCX2wjzBYck8FGTdPIdB2jwbRN483BfjPAdN7TwKCfk8An0EPcwmEj0bUgY90GwCPQO09TxU+cY8b6jDPPkXxjw0P8w8IlHKPHtLwTxfAqM82gCqPGIxwjyIwbw8AsvDPGLd4DwO4+w8+8HyPD7a2jyEn+M81o3nPB380zxGDrg8QXiqPOd+nzyiYaM8VJq4PKfYuTwGeJ88cn2OPBGDhDyM2408aEKTPPVvjzxxro88g9SbPMrboDwDK5M8xl2NPDQYlzxoKKE8yv6iPNrwqzxJma481X2bPGL0jzxCcZg8fnuVPERyjzyV8YY8Ll+WPMvaqjwG15E8LkmCPO24hDx584g8F+iHPCHujjwklJE8N8WSPH6akDy39pQ8qjSePHZ9nzzGrZc8ZnWfPK4ioDzP4qs8fMGqPPv5rjwmjbc8eYuzPJXkpTxi96k8zNakPJzelzwkoYc87wCIPHtOlDx6yZ88PrSlPN9jtDwbSKQ85zWiPA73ozxAVKM86JyuPJ57tDxbHqQ8WSWyPOto3Tz5m9w8ACPRPMtqwTzog7Y8uZi+PORjwjx5cqk84ZehPMS2sjyEuKo85UGkPOgoqDyMHrE8oi+2PBUkxDykF988sx7tPD7y5TzjCOE8SM3jPF1r5zxypOM8rh/1PMFvAz0gvPo8phnwPNmq8jzzGPg8UtcEPRuIDj3+yQ89yO4HPfEw8zyIzNY8rLvuPCEg4Dwrxd08DZXmPCn03jygQO08d0vpPB9qAD2PCvs8FN/NPHo5xTz+RsM8hb65PCwjxjyDKcU8gVawPItQsTyYwa08Zhu2PHbluzzaAsU8RovZPOwG1zwYH8w8gYrGPMQ0zzxfBMo88BHSPKmL3jzhmeo8cmICPZiR+zz68fk8m8DrPFHn7Txr9Pk8JHv1POTB9jzl4PY8RFYDPQZ78Tz14+k8SCvuPI9/3jzPDeM8uM/mPH6M5zxrit88zGnvPJWl6zxi7tc8SpLbPLJKzTz5CMM8/XXQPPRT2TyAzNA8qtjjPNK+Dj08yQs91MEFPZ8QAj2wZfU8fgHcPLz24zwX2AI9TcEMPX+bAj0Z3/889Mn4POYW7jz0EPc8s0zyPJ3rCD3MLAw9wOrzPLTA0DwBIqI8LT6VPJSFhzxrqHE8PCF2PIpxcDzp+Wk8RflgPIwqYDxjc248iJdrPCaXfTzHQ34834p6PCzYgTxknYY8T3yKPG29kzyZqJg8vE6ZPNM3pDyzoJs8y2+yPOy5sDxAJZg8CtGbPJWwxzy/fPY8HxIFPUOo/DwLzw89gogaPSj5Zz0ER7Y9a+HGPTkiAj5EThs+hmM8Pmh1KT4/xDI+5ac1PheMPT6Bzjc+x8wrPn2fID4dkSI+Xy0nPgrYKT7ZQjg+qY8wPrNOMT6Exj0+9/84Pq7MOz4ETD4+cEszPmi0Qj76PFU+k9ZGPoPVKz4qwzE+efsqPm3YHj53Kh0+fr0hPrGOLz51LjY+21ooPsxIID5MciU+7wsnPvvBSD6Us1E+T7o+PqCQGT4hYwk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/xo+pPM59BD2zBRg944j2POvwGT1sTVU98W6WPDqyCT2yMhE94wn4PP86CD2ILDI9SlRVPYHgMz1eHlc9Ev9YPU59dj2qXDg95hAkPahQRz1eFWY9YJVfPcmNZz0HDo09eQ5oPWy5Vz1DkFg94fBYPe6IVj36S1E9I7xLPVecVD0FaWI9MVR3PYVOlT0xDIs9gJ6DPV83nD0xEJU9vFqIPVc5gz083XI9a1tjPRJ+UD07WEY9x2xOPaRvKT2adQc9Tov7PEzzAT3iHPw89iEEPe+P8zwKyPg8NHoAPXstBD0AAhA9I2oUPegsFz33XA497C4NPZQi+jyT4+M8VdLXPOOX5jxJwso8YHjFPHZpuzyzXac8oOirPLzntjwEDbE8s8aqPP+koDyCaJ48SieoPCxLqDza5Ks8rW+mPDqvsTxct7g84XbDPDCtoDxc3qE8VryoPJqznzwUsZg89EyvPL7GzjzGPsc8UW7YPN/twDz3FsY8bP7BPPVSvDxpsrI8r/PBPAriwTxIPNw8ZgfiPKfv3DyQJ9M8sO3TPNrg1Tx9ltw8MfnlPKgu4jw5we88mlvSPJCe3jxTrAQ9j1sOPbTmBT0AVOA87jPlPMpkyTxcuMw8iGP7PDGzBD3y8d88nEjJPNQJvzz5XsY8h9DIPHwb0DxJ5dc8q7fJPPQaxjw5idc8mhruPADR8zz2mtg8fbrYPHgA1zz+7bc8kl+0PBQzvjwHy9E8GJTtPMtw6zzFOOE88yHvPLuc5Dxw3eQ88gDjPJGM4jyJSeI8Rp/SPMCjyjxEy9Y8JIbZPJyQ5jz7VPg8WXH6PGOzAD3X8gQ9P5P9PGjdAj29GPU8QRTxPLAq9DzaEPk8YdbmPCW1Aj1tMQI9Ww7lPIGu6DzNIOE849bbPMvf6jxODfM8ECXTPB81xjxbQcM8FpHaPGXvCT3/Ews9KjkEPc0M/zzfL/I83/7dPDE4zzxnPt08JSH+PGhNEj0lpwo9pf7yPL6Z3DzhCcM8BoTHPH6txzzbmNk8hybtPB3Y5zwHOuA8lgHiPElj8zwwKOA8xUP9PPV0DT2AoPQ8L9LaPDEnwjw/HLY8GeKxPA6JuDwg1Lk8X4nFPC5/sjzEt6k8ixO4PKlkzzzxXOM8TNPVPGni2zy1/dQ8h6ffPC1j8TwQOgg9z07xPBazyjxkiao81EeePGt+lDxIj5M8MKevPIB7pTydXpM8/uuDPBZSgTwBH5Q8XR6nPPngnzwiApY8yM+aPNK/oTyPKJQ8m2aVPIyMkTyhsJE8hnSTPJWaljy2k508j0iqPPIXljwzzJk8YRSlPHrknjycwJk8UFahPKs0nTyE3Y08sayEPJrKmzwh95c8RieBPK5DhDzVdJg87zqhPB/bnDwXUp08uNWgPNWdoDx2H548fluvPBgksDzBp7M8d7awPFOBqjy9VKk82WK4PC6QqzwGf608cNOqPCw/njzBY5Q86LucPPuvrDybFLI8fZStPBfgnzzF66g8a0OtPDooqjyA8bM81EuzPG9fqTxdKLc8t8zOPH7UtjwRgq48tTKqPDTvsDyLu688qIW7PE+1tzx9f7M8qYW2PNqzuDzUd588IVytPCpUnjy7LZ48WTepPIJn1jy30fQ8arLiPBdo4TwRzek8Y472PNb28TzSe+c8mQb9PN7bAz2JLwM9YDLjPHOZ6DxNrQA9tI0NPSHeGj1K7hQ9+uP8PIhD2TzGidg8MM3wPOrU5zxJsPw8NFn7PK3a9DxeRgA9miQAPWIu+TywDdY8Hy65PNpkwzz4IMg89yTNPFVXwDzHcLY8CwivPIQjqjwf5sM8zhPEPImdxDz2c8k8FyPZPCOy1TyB4ck8133QPOIs4jwx/dg80XTePLwn/DylwPo87ZAAPXg6CD2E2ws9cpADPWwz/TyNhPg8Qz7iPDNB3zzyjvk89lAAPcRVAD0BRPk87s36PNhB6TyVsus8fUDuPHXX9TxB+u48j2LkPBha5zwqeek8EDHYPOdSyjyw5b08Qx28PF/AyDzmr9w8J5/yPBiVBT3dXQs9zHYUPZ8s7zwvfcg8Xjn+PC+pBD3HEgw97JgXPUz+CD2Kwfk8z230PB82Aj2p8vs8ecraPBNK4zwLhs08AZyiPM/sjzypinI8e/g5PHcGQjz4l0M863pPPCIMPzwAmkQ8zBJaPJc5ZjwqL4k8Dj54PJXPjzwjeLY8vT+oPIZuPD1M93k9Q4ZqPbTHkz1gPKU9oHGoPXzAvz2wRNg9gvbfPSxB3z0/IfE9xbz+PaSuEz5mzhA+EVwHPogOFD5d0Rk+9sIfPvHvIz6iRiY+7b4gPhDWMj5GyDk+36stPvNZLT6/aR8+aJgzPhXWVj7/300+MaJJPq3QJj7lzxo+prcnPoyzMz4DdD0+1bEyPsM7Kz7yr0A+E1dFPg8xPT6SnjA+w8kiPrF+Iz5ABjM+rm40Ph2pNz5tXi4+81QsPoGLID7AiAg+egwDPhlx9T0gJ/Q9CNzzPU2+8z2huA4+alMkPqdFHz76ESI+GAkrPrMXMj6hSSc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9yKFA8P+7JPBIaHD2Zvxc9qmwwPTWaOz37Sak8LVMXPftQPj3qHSc9d+8ePckjHT1JgFo9zFs5PRELRz0xb3Y9qah9Pd/QaD0+UGg9ZuJxPTRhWT3J9UQ9845YPfIdRj2/mTQ9dGQyPQfTFj0QfwQ99vESPaEDCD2MtwA9F/ADPdsH9Dz3l+I8j7bmPA34+jxDWA897TsLPXqlCj2viRU9reYJPWz77jxdWeU8yZv2PLUK6zxrI+U8KPjUPA1N3jxX57g8I5a5PLCnyTxVuL48tzOyPCXipjwcEbw8t0SvPDlBmDxVn6Y8qK2jPAifoDwYWKE8YjSsPBXlqjz5wLM8/MmgPE9mlzzeYqg8LEapPKjctTyPcLs8sAqsPGO6ujyn5cQ8YC3BPK74uzyzDMI8smC+PNuswjxOqeY81ArpPMVZ0Dy/ddM8rCbaPLkv1TxS2NA8aFTPPPfU3jw3xvA8GT/8PJQ2AT1xTPs8aVT3PNA94zx6jMg8KVy8PCPrwTyNIMY8V2XUPDC70zxSxcg8XEW7PDl7pjxusrs86RTAPNsByzx4JPI8aVTjPERx6jxiHfM8oCX8PJrs5Dzpe9k83+TiPH0w1zw4+tI8xp7FPOjOyTyltOM81gP7PBtc6DxQb9E8DRflPHUl8zytde08QPUCPfwO8jx9fNs8tOHNPAtr5zz1x/s88yjzPIpFAj0BuAU9b/4IPf+r/zwHxwk9VAoFPazV+TwDR/o8bnn7PNjRBT3g2wc9984DPcMuBz1gSeI8RdvXPFO64Tzz3/o8BSfyPAef5TyqudY8BhXFPESVyjy4u9k8MSjjPGtGFT3tUA49P5z9PCtJ7zzlr9E8EQTcPPx35Dw1EPA8ewv6PH9h/DwUPOw8+2fpPK2T2TxuBOU8YVfyPC2T3zx7fPI80MIKPSyNAT1XJ/c8l7/wPJgsyDzeAr08h07VPNAyyjztg708K2K9PB+QsTxe2ps898eaPNpWljzPgJs8qUedPF1apzxOv6Y8FSevPNQkszzkIsQ8uxnfPM7g5jwLytQ8Y1rcPKOFBD31NNE8CV20PLdutzyTBKw8nXSiPNuplzz30588wVqaPLKdmzzJiJ88a8+cPO3zkTxeo5k8N7OYPKcKnDwk/Zo8P6uUPDU0ijwxKoM8S32PPGvTjjxiYIA8VsSLPBKWlzz2Fpo8KWChPBTZozyYT6A85oy3PAXbvDyfh6w8Dr2gPJuomDztq5M8kyORPLSGizynoJE8iYCOPITZjzyMwZk81q6bPF8rozwVtKU8DzCnPP9/pjz6V6o8RYadPLomrzxIh7c8/3CtPLcVqjxw46I8ljmlPLT1ojxOnaI870ulPC/kpDwEVqM8ysKuPDhqrTwZ7qo8Rb2fPMgLqDwNw7I886q9PJ3ksjza5ao8He2gPKi4ozx/M6c8+V6fPCcojTzkx4k8eReWPPdgoDzYRag88lepPFWZrDwfUbQ8jS2sPNRIqDx7r7U8c1ixPBNlrjyV2q88uCLDPPKf1TxqadY8zlLaPEx27jw2RgM9zkP7PLFm+jzZgv08KDsDPcKZBD0kjgQ93y0MPa8yBz2lyQI9m/EJPSZ+9TwTZ9o8mejYPC6v6zyt6O08scP6PMyr3jw/bM88+BvPPBbt4DwaPeQ8DXrlPG7x/jxwjeg8UvXQPJg6xDyT/sY8x+PIPDXqszyY3K08wynAPK3LwzwKV8Y8Qf7OPGqK0Tzkit481U/hPAdezzxrD9A839jbPEoS7TzOsO0832zrPKCC9zzyC+I8XDf0PJuuAz26tAo9v7b/PObY7jwlFuI8tb7VPC1EzzwC3+M8wjf+PAZC9zzcq+k8lw8BPZHQ/TwyOug8oo7kPFvy5TzkoOo80w7iPHLe3TzpotI83CHKPNEJuTyYZ748nKDNPMXA0DzokvE8ucAAPVV8Bz2xGQw9GjwHPVIU+Ty9RQI9hnwNPUb3Ez0LUxI98GwOPYrX/zzLGuw8/pnZPKfe0Dwyt6w8PDuEPGw1YzxnODs8LTIiPEG6JDwToSg8sdRMPLpYqDydLtQ8/bg9PUzkiz2fYIs9BnnIPRYs0j1iIOQ9K5XzPS2vBD4ITgw+oo3vPZnOFT76vSI+r/obPoc3Gz7bEhc+VHkcPrv5Gj5sHw0+5g8IPod4Cz70BRE+voofPj7oLT55rSw+N2ciPlLlIj6ak0M+hWRPPjZpQT7aOx4+FlwwPjVHLz6eKCY+wTQnPpkxNT6W1iQ+HsofPrSELj65okQ+ZVxNPoOwOD63aTM+N1o8Pv39Nj5840U+ptw/PrR3Ij4alzU+N2pCPlDJKD7CkzQ+RpYtPg2lJz6ZJB0+kHguPr+0JT6KpRo+67ImPiywNz6q1kk+gMc6PlciLz4odCc+gFU4PhYACD6U1vQ9iqMGPqNnDz60LxM+mMMZPtz1Kj6DhCc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/QV+xOoAPrTyfeCw9WSwhPca2GT14nDk9KnA4PQeaxTxRmhM9rGALPR+h7Ty8rwk9OzsnPbFHSD0NKdU880y7PJ4UyTwMacA8NxfQPKOK1jztXuE8YiToPJUnAD0EywI9oFL4PKgJ5jzmjd48r+zJPPHvzzxhFc48dVvdPH/e3Dy5ktI8SAjFPGSQ0zx36eQ8aEUNPaIf5DzJX8s8Mv61PH1kvDxE4tg8cI26PH0xrzygccs8B2G4PPoDpzyvAas80zi2PJKquDy1+rE8SI+mPFxXtjxhBsg89V/EPCUZxDyLAcI8YIq+PDuNsjwcccE8R3XEPMdHzjwPH9c8ddvLPE0IwTzH8sQ8iB7SPDdB8DwyNQQ97isFPbhG1DxzUt888uXwPF196DzOjPk8Z0QAPWvw5zxq9PI8l5r7PD+a6DxoAMc8idnAPLhR0zzlZtk8pvLbPNWtvTxrFro8NabEPJr+tzwaq7g8j+vAPGwQxTztHeM88E8GPQTIBj2GivA8Hk7wPFWw4jxI0e486C7nPE7+5TwZO+Y8OzjyPJqY/DyyoAE9spYIPRnu6TynaNg8N0DnPPpNAT1uWwQ9MgX+PEFA6jwCrOw8uFj5PJHP9Dzo/O48I34EPRMCBz28iQc9fDsaPeoFHD2oHwk9JlEIPSnQBz2E4As9h5ISPVB8Bj3UVP88yUD8PN7Z+DxPuec81dLiPPBk4jyWXd48HLjbPFLW3jwE79A88tPMPBA/6jwq9vU87bf+PFaIAT0+EvY8ikz0PIjn4zzEEuA8XmvpPO2A7zy1Mfg81hoAPS1j9DyK5QY92DH2PGBt3jz4au48uskBPdUI9TwZvO48MgHcPAfbvTxRN7o8HbO0PNvWnjz17p88ISS3PNI5wzzvVME88QK+PNpqoDyrxZs8bv2dPE3blzw3WaA8+qqmPLSztjxGccc8gUCtPKK+sDxqNbc8Gr2/POI/vjxL1bw84lG4PAknrDxj3aA8a3ywPDkCuDy/eLQ8/u+rPJjqoDy32Zo8ch2aPNPxnzzPmKQ8lP2ZPO8slTzflpo8B02UPHJ5mzxpxqM82wqaPNtpkjy8/JE8G1eFPO+CeDykrXs8zIKLPBWrkzwogpc8tcqdPFbYrDwd1J88gmuiPOnyqDzJ+6M8DCmWPG0+mzwXu5M8aSyKPGREizwM9oo8QUuQPD8ekTx+5JI85t2iPKWvqjw3CKY8AAWiPAKLpDzNmqM83TqoPOHTqzyTJ608NS2ePB0DoTzKEqo8UWCmPL76pTz4ha888P23PCZmrjzFSbE8ipCrPK/0rDwnnqo8gs2cPALUmTwgKpc8DnOaPKNMpjw8AqY8EJyUPFlmjjyAvog8LI2KPKA8kzwBu5E8JWycPCdJnDwbG5s8cUGnPH0apzx436E8SEClPEiWmzyncq08Ch6sPIqCrTxy/cg82UvkPMQk8Ty1SvM8Gaf4PMes5zyFgPc893ACPcFDAT2pewI9pvQJPQkWBz1+IwU9rxjsPIOV1Dx2Y+I8LIvZPO4m4DwTbOo8ti3jPEJ21jyAXs08WaXjPD2/3zzU88Q8313MPBzL3zzr7eE8/6bQPGvLxTzlb7o8g1q2PNrTpTwdKqo8H8y2PD1Ywjwqesk8GGHPPMonzTw0c8E8Qt7IPJG+0DyWr+g8uuroPMU64Tx9cfY8eELyPIJw8zzyhPs80437PF8/7jxzGus8oFnlPDVa3Dw1Hu08AxXlPC310Tz2mb48W6G+PCfowzz8Lt88qxzqPB9F2zwFjtw8dwPuPCt39zwAaOY8/rjPPIew2DyB09Y8parEPEs5wzxkCck8ow29PB7gtjxk3748okPKPK5y3zyqJP487GQIPdO5Cj3r2yA9phUePar8Bz25/Ac9Xg0YPekMCj1XX/88P3f6PC6+2zzbn6U8N1NlPNI9PDyhoUE8pHdaPGuegzzRu/A8OvUIPamaTT2q0JM9CkbhPaqEDz7HIA4+ZWIqPgYyPT7BlBo+7F8SPtlIDD5SuRk+U0IcPkXoHj75tx0+PwITPi9FEz5tJxQ+lNkPPnF/HT5DKBk+77AIPh17FT5mRxQ+mPMUPqcsGT42mhk++UEiPoTaKT5JxTA+Sm8qPt9HIT7hqi4+DOI4PpCDLj5BTx4+z1kmPqH1Kj5LPiY+g4kfPms4JT7rHCs+6xkkPpKEND5NwTU+wFM7PspeNz6sKz0+mNdDPmw3Rz6aOEE+ljk5PhL+OD7orD4+j6A0Pkt0MD75uzU+YwZLPvBHRT4dyTg+7Rc8Ph+5LT5IMSU+a18WPnW2Mz6CuoY+l4tZPv8lHz7CuQI+cD4RPgb3BT6DDAI+U+EEPv5eBT5E7xA+ToYaPmFdJz6DUz0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8RdMo7LfhrPDCMozyriX48exqCPOajpDx78QI8dpSGPNsDlTzJvp48h36PPGBBlDw+3cQ8qcJKPEMWdjyKRJk8vK6LPC4ikDwrjZM81cG4PCVQ0jx7abo8GOfPPM8CxjyN16s81yW0PET1xzxNE8I8vlq+PLmfqzwKYbU8pDnGPPwAqzxPCLY8/c+zPMTtuDyetLA84162PHkpvjydUs88ivXWPKEi1TzVF708Nl/BPN8rxjzd5sc8Al/NPLluyjxXNOM8LCTyPAn1vTwqOsw8/93RPKeU1TwBzts8rk/oPGnY4zyOs/48zs/3PNoc6jyeo9g8tHHcPAuM5DyIj/s80Y3hPCjMyjzzQs08rHzdPOV76TxGUfI8MtLjPP685TxiG+U8bJbNPHjpyDxGbdU8FRrePIYt3Txzxu486C/zPOf++zydtPk85VPpPLAP6TzlFek8t23dPK316Dyp/vs8uND3PNWv4zwoOec8MV/2PDGh8DzPL+Q8CikEPXvyDD3nEA89h9UYPQKsAj198f08xUIGPcg19DzyMwo9OioNPTN2BT18Rg498aISPSXcCD2f4wk9WJsLPatpCD3urf082Jf/PM228jwn+PA8ZGz9PB17Fz0Ahh09NNcTPf4j+Twuv/s8hqnzPMoV9DxTI+08SkD1PKkm/Dzc3gU9y8L9PP6xDD2ElAI9um3tPFK0xzwJoMo8uXTnPAAyAj12Fwc9H58HPQ399Dxsm9I8U6LbPGwI2zzc2+A8YbrmPOLo4DxYd888TZ7ZPD1nsDzgNKo873erPPzRoDwgJ688wwm3PKAotzwr6Kw8awuqPHW7oTwoxKg8Qj+kPH9hrzx2hKg85gy7PBWjyDypS9k8207KPF+VxzytXrg8gNamPKNNmTyK3qQ8kbGlPLsArzwFGKg8OIiePMx8mDxKL5w84E6OPAmVhzysX4U8gp+FPKbNhzxRzYQ8cKuJPFdrmzwN6ZY815qaPGYtmzysbZA8VHCUPM9voTx4Gpo8nBqMPBC2jDzVNJM8hf6TPPuJkjxJ7pQ8bEebPGvimDwoA6o8G1SoPMCTpTwmb6E8FTuVPAYUmDzKKY489VGGPLGojjx2TZY8qJWRPHVfnTy3wqE8MMSsPG6/pjyX7ao86MKePGNemjzkX548qwGePGubojxRapc8H3mRPM7JhDx+bo48I/idPORDlTxD3JQ8yKCTPOAHlDzXIJc8PbCWPFiMoTw3Xag8txCnPK5tnTw2OZ88m26YPGP9lzx1VZM8ahmUPOe+izxO4Io8jdmTPLTOpDwHxp881jWOPDO6kjzwGZw8gCmrPEcoojyFuKU8H52oPH+BtDxQGL089omxPAx1tjx3ysU84nfoPHwG+TwmkQA9fETrPGRuzzyGOug8fevqPKSc7zzKA+k8idjiPHe05jz5Zvo84Mr1PG2f3TxsaOQ8ZdfsPOkO5Dy1bPI8BmcAPS0e5jwrCto8rc/fPNV72zyjRNo89NTDPMzFtDy3kaw8k32jPPG6ozzWr6Q8p9WqPEDnrTyWd648RJi1PEGbszwPY7U8bl+2PMSGtDyP7ss8+PLSPGgp5Dw+Fek8WMb+POip+DxUKfs8Q4H7PNueAT0d6AA9rkQDPf8lBD33IvU8YbTsPBOS5TwND+s84RjgPLkc1jyPWNY8KFzQPHNtzjzRdNg8Xl7aPBAJ0zzZ/dU8BUThPPfx4DwhLcw8+tC8PF4Twjw3hbY8L9+nPMYftDxU0ME88G+8PLJ7tTwizMY8JKLPPIG45TwbafY8Mq77PJocET2AXDM96WgjPTWeDT1XrAw9+lcGPf655jxODs88AkuTPK8PXDycvSA8qlUTPJlbfDxTL149RNjdPZLDED7miS8+D7EYPhvnDj7c6Bk+UU4iPoXyID6USRQ+IVAkPlw/Kz6VKxs+ReURPhmiGj7rPhs+WBoZPpINGT6+bh0+M3sbPuTGGT581Bk+BzIaPujRGz6BORg+u3oVPjYoGz4eEx4+hgkaPqtpFz6kYRU+uOoVPn0uID60diA+OJkdPl3aIz6UAC8+P1g8PmB/OT4PokI+ie8mPoznIT46zig+kfIuPrXYKT5WkjE+owM9PjKqVT62G0E+AJBFPsZjUD4BJj8+yMVIPjt1VT7EFUA+csNPPgTwUz5+SEg+84E+PnXuPT4wyzA+XWI9PuamQj6DhCw+O9ksPtc1Kz4SBwU+0JjqPeKmEj7d2kA+erFKPhvDGD76pOo9oWHjPZi97z1Uug4+r3AaPgjyBj5eHhI+T18qPntGJj57dhQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/+S4yOx8QFjw6LIU83VU/PCNxHTwpyGE8tgOkPPOrRDwZl2w839aSPDhKSjzc/1o8qyucPMsstTzi/Cs8JAJTPNRMdzzsVF48wM6JPHlJnTzQbo88LdmIPJyCqDxAz7A8e6q4POThrTwqcMY8pKX4PB1V6Tzv1dQ8Y8zVPEC/wzwAAMY8L03WPJ4Fzjzr6dY82AP2PHbR3Tz7HMs8cWLqPKCCDz1q6+k8sLnvPHiXDj24FAM9ssH1PNKP8zwTreU8PorTPOlLyzyINd48PTDbPJIE4Dz/T/A8W+TbPCyJ4jy+9eg8i//dPKJ32zxGeeM8wezpPH4W8DwZwO08tLvmPDpW2zx9htE8Bc7OPCZL6zwDHuo86HLjPIPB8zxgfPg8D3cAPTn/+DyTmQY9XRH9PHmx3DyWgO088hf7PLtPBz1F3hA9F1cTPRAeDj0RCAM9QXzqPDC57Tzqee48KDT4PO2H+zz/Ngw9NxoOPeAEDT3XWgk9rEYNPfGhBD0OHQk9b8ccPXKlBj07EvQ8PZPsPN8J7Tx81As94qAtPYxXJz2glAY9jiDkPJqAzDz5Mt48fZHoPEYYBj2wkAY9l1UCPRbvBj1XwwY91JgBPYex7zyDM8c8noy3PK4uvDxD7dM84DXkPHQE6Dy8MPw8KC7hPEDSyzx2470853e8PFZ9vTxV5rs8tHG1PHnRtjzcIcU8SDqtPD/hpTy4E608mvC4PKM4szwkz688SkmrPJhnpTz1QKM8HRGdPBA4kTxR4Ko8F2S0POgnxjzt28o8cDHJPEnR3Dwqe848XSDKPH0izDww3bE8JAW8PC+9xTyzirU8wQqjPNmVkDxRpY48Z7+LPBMNhTwIi4A8XymEPF9+nTwNa5Y8DpqTPFoxiTw0hZs84KyuPD3EnTxLpZA8a8yYPJIAlTzVwKU8gDakPM+blzz6VZU8/DePPLuPjjwhppU8msuOPBlCjjw2zZg8c+acPPsMqTz8m6M8JtqrPFTvqDzMRpg8ZX+mPNYcmTz79Ik8dDmZPFd7mDz0vpE8VjmZPEiSnzyyj6w8NvShPBR7njzbjps8UOifPF0ppjx5haM8INKmPHvNkjzNBY88UOmZPPyVkTyH8ow8vk2SPGMphzw8moY8RFuZPMkVoDwOCaE8KI+lPPbWpTwKiZ08EiObPJJFpDyKOJQ8R/WKPLe/eDx204E8baOKPHI6jDzTrJo8P/OUPHcUkzy4NZw8w8OaPGG3nTyQepU8x8CjPG2yoTyNdJ088ruuPPqSrzx9UrE8/n3IPLK/1jzIbtE8Ch3dPGZK6jxlpPc8SZ/vPMou6zwXQOY8iGXnPOoU4DxOUts81CrjPPK+2Dw7Jts8jYzRPB5A0jyVO/U8XisDPZAIBD0cpAM9isPvPGWv2jyPzNg83yfLPJ49qjz40KM8Fa+ePIUlpDwERZ88KJSiPKPErzzFbK8803GvPG9GsTwccLI8L/y0PPxrzzyIpsA8CiXWPOVg1zxDktQ8ZsnZPMNo6zw4ovk8STH4PJIjBj1EgRA9G/YBPXPsBD2bDQw9n5QPPcn4AT2HI/I8VXf/PNrBAD267vQ8JQfXPJiJ4zxJwM082pXOPCDoxjwAM888AlTdPGxQ6jwaL9k8Ri+0PFOHpzxW96o8/rCoPPFSwTwduME80fS1PMX0ujyrm7089+W2PLGzwjwh48E8l5m9PKFW1jwN6ek8PSYEPV20BD1RH+48xF3UPMYorzx3Y7Q8LFIIPeYAaj304pE9F5/ZPa9X+z0iVds9NTBsPTq2rj3PPDc+g7MePhB/HT4Y2xU+cQoTPurRHz77YBc+Jv8dPhfSJj4F5SQ+rA4qPlgjIT60oCY+wHsbPmxpHz50+SY+1pUaPlbTHz4SixY+FkEPPqxxEz6SvxY+X8EYPsWvFj68SBk+8ksVPkgnIj5VBiI+e2QdPjaFFT4xDA4+7NYcPnyDNT5p4y8+39MjPvk9KT4Zdy0+U+47PrJmOD6VizI+3lQ/PtnMUD7ggjE+qyMqPrS3Lj6HTDo+pAVGPp0ROT5Hhk4+eRY/PnvSNT5Fbz0+Aiw8PodiST4ayUY+uD9APqN+Oz7ZFzA+h5xLPjbaUD7oTVY+RClIPn0lMz78YRU+lksOPngzDD495wA+t9TnPQIDBz6gHhw+VYYJPiJQBD65dgI+rNIBPqiuBD7qLw0+bgAJPtOzHD72ZSI+tv0NPry7ET5WhBY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8vEWg7n7gePHCSjTyIhYc8eSpBPBfWWzzLHpY8hJvMPJKLujxoBps8/EKQPMxbfjz7g3w8ggW3PEW+mDxGxLQ8jzrLPHd/2Dym+748vn/kPKJQAj2xWN88YEgAPfTO4Tw4JOI8sBTsPGvG0jxdtNM82IvfPBun7TxXR9s8EpPJPPEe2jwPkuI8Y0ToPKEh+zypGtM80DDxPKTn/DxCjQo921wQPdpOAj1Np/w8ErLzPHys5TyeweQ8XOLSPO6e2jwcbv08BJYAPY9k6zxEevQ8m4wBPWvSAT0m2As9CvYMPWa9Hj1Uuxo96DUOPdiQBT0sr/U8WRb4PNo95jzSiOU8gRjwPHhKAj3pxgQ9ST4APbx1Bz1TSQs91+cNPTMzBD0m3ww9EDAQPUtiFD10AAs9jDL3PN8BAT2sIQE9HW4CPd32BT1LpwY9c00FPT06+Dwtu+k8JP70PBcf9zz88P88HXr2PL/1CD2Lwwk9/NINPREuET3V8Ac98rzzPDJF1jz9GcU8aQK0PHcfwzzhOck8xN7NPPUO7jy+ltw8PbG4PEnGpzwhhss80PnPPM6GvDxlhcQ8yoy8PEK4xjwEcMw8ePjAPER3wzwRtsM8Pw/OPAlhvTxqELE8XI+gPIwFojzzYaI8dsOrPG42qTxy07c8LTnDPBrfzjyUt9Q8perLPA2pzDz5EMo8d2q+PBQOqDz7uqI8XRmvPDsyszz7Ccw8wj6vPCUjkDzlipU8J3WQPGzllDxG4JY8K1ObPKLxnTxMjqg8f5qkPD0BozwXD7Y80Q6rPKcwmzxApJ0870CVPN9qmjwXpJ08k9KOPPk2gzy7HYo80+CIPG+KjTxhnYk8bt2OPKNfkTzcLpA8seyiPOCHqzyBQq08KxadPFOMpjzM95Q8EUKNPFb/jDxDg4g8kUiQPI+5nzz/+aQ8jmK1PPv7rzzB2qw8U/qkPOajpTyQfKM8Uo+lPItTojxNDZg8WjWSPOgBkDyvxKA8agefPPwNizzDeYE8S9yNPEMKmTwvGZA8TSqfPBykqTwRsqE8/p6bPAo6lDzZW488YreQPH8sizxIVoc83/CFPPtcgjwN3Is846+YPOahkDwSz4s8HSqHPL9ViDxiRog81duFPJwJjjx37Jg8jvqhPHrxrTwmEKc8KOq9PGIouzw3uL88GZXTPOkq0TyB7No8MWTkPJ4b6DyJJOA8ma7fPFHT7zxFSeU8wP/oPN9A6jz13OU8M5DvPMys5jzWzdE8OsvSPNf90TzgC9s8bCDVPA3+sTw+HrE8qcijPKgLlTxIppE8/AeTPE90lDwh1JA86xuXPGDwnzya/qI878a5PEEnvDxpz7A8jjaqPEqGpTwNo688F3+yPP24uTwqUcs8MtDbPBeu4Tytkuw8bJP5PDtd/TxF2wA9jicKPdHYBj09NQY94vICPS2GBz0dVQk9h8n+PBho+Tyc+/M8prjrPJba8TyCNes8HevJPIglrDyj9ZM8cRKMPNONkzylrp48KhGxPOCqsTybO7Q8HgmoPEvapTwVhMg8IW+7PHkhyDygEM48DSfQPDsH0TxJecY8TOTkPE0D8zwdnQc9Wpp6Pc+FpT36JKQ9DBacPXmeiT1ZmoE9XMKPPUttwz1I+/M9B2YRPoBkMj7pGi0+IGsWPkTMHT5JNCI+x0wMPujqMz4NyDU+pJsjPpOxIj7loh8+McMbPm9UIz69Lx0+88AgPljDIj5hCiU+FUggPkbeKj4QACw+moUjPlcMHT7SRh4+ZOcaPiq5Fz7Qiho+c2oPPgEADj4vsxo+DUEiPhMgGT40PRE+9a0QPjkxIz5avRU+5PAZPlCdEz7ieBM+9v4WPuAfLT5zoTU+smQzPoPsLD5ndzE+go8rPip3MD7RSzk+Xkk2PuQ7ND4J1kY+NLFCPkuFPj7rpio+KpkuPvLONT4pakA+UvlAPilmUz5gdD8+ZWArPkwfKz6XNTI+s4MfPsa5ID5LiiM+L5ocPirkGz6pGj0+f15iPhhJOj4vLiY+NjMYPvhfHz4tXjE+7EkcPgjmDz7QaRM+aHgPPpbYDT6DqA0+LaYPPvUSEz763Rg+bCsnPpdyIj59ahM+zfURPo3/IT5rGyA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7G7xzuz4no8S6yjPGnLvzzf2JE8cA7VPGcuBD1jL4g87iquPK0nsDxcz4w8MWejPAc/yzz408w83EiUPImenzzsLKU8jV6tPC7Y3zzbmPk8U3DnPOamzTyFUdw8f67kPHG3Az0lfB490iIBPawm2TwJJvU8dh0BPYhH+zzcwOU8Z3/1PD5cAD0uXgA9AkwAPVT4AT3Orgk9BnAPPRQpFj0A/hU9Gu4NPStbEz1jhws953j2PEwM4zzEa/I8dgoKPQebED0jRgc9j0QRPYbhDD157Ac9ufHkPEU7Bz2J0wg9kzoCPeTmAz3PwQk9UHQRPQs/Bz0MNfo87s4JPdASFT3DmhY9584OPW6dDj0KbRM9QUwVPSLwFj15ihI9cYMUPel5ID2WARM9kNcVPX3DBj0QZg49qdQMPdzSCz2S9AI9bcTkPKBjyzytY9M8a63OPOv+wzykftQ8xhvWPN/U0jxbdcU8ZuCtPKmkpDyOaKo8ThK0PBn8wzz/fb487Gy/PDNBuDxj/b88i8bUPFo18jwX5+Y8k/PKPEvFtjy6f6c86weYPNEfnjzZNq48Rmq/PHbmrzyW+8I8FSrAPEF8yDxIUN089kXhPJSFzzwbpa48ZAGpPJUMiDxqt2Q83imOPCUCqjyFbb88u/myPBuYmTygfIk84OqKPCrvjzwP24o8SqGTPIhdjzwYqp48MfefPAHQozx61aE8h6ihPKDMpTzoKp48/GydPO10pDwnH6g8hvWoPI5lmTwT1oA8iQCJPJaEkzzlJIs8QGCCPECBhDwv9pY8LnypPL0AqjyMWKM898qkPDY0pDy5e548RzOUPOwTjzwuRps84/ScPIqprzyQF608Dce8PPNuujy0XrY8CKelPFRWqTyReZw862OQPFT4izw3U5I8kk2MPLuoiDyr2IY8qqSPPF3GhjzirIw8yf6WPNE/lTw0f408HAiQPPFonzxF9Y48DoiMPCnCiTwhdIA8EtCPPK+rjTzBaYY8GkGGPPY9gTzECX88bDuKPFkgljzLTY08Tr6WPO7DjTxXGJE8uiqbPOssnTznJqI8lfGmPFC5qzyqbro8PpvaPOt5xjznpso8fJLdPM2J0Dy/zOI8Q3T0PJ2k7jxEk/I8t3/3PNXK7Twj0t88+3XcPNzyzDxWHNQ8gljRPKgWsTxGUZo8iMOcPNTXoDyVO5U82XqJPA9ugzwym4Q8v96OPCNlkTyfRZo80qGcPCPgnjxfA548yBmYPJsmmDw1H6o8blq8PDbwtDxS47E8kGiuPOVgpTwxN7I8ba/APPeqxDzqctU8X9fjPJ0Y7Dx8PPk88/IEPbnzAj263vo8s337PPDQAT00UQE9/zr5PA2k8zwSIfY801XoPFx92zxbfNk8IofQPBbzvzytPL088KqhPKd8fDxYTmU8vldyPGmUljxSrKw8O4+iPLMkoDyBiKY8uaKrPNW3vDx3xMo8DcjKPJYFyDzt0Ck9uguhPQVAvz0tD7Y9zLLmPa+85j0OJeA9+QkSPvvOHT6VwCA+s0YfPj95IT696yQ+zTIoPvjWGj5xdhk+npQpPkXpLz4SUCo+w1UjPn3oID5cQSo+yHsuPn0xIz6xEjM+to8uPoasIz5iihk+1JIZPr3xJj4WVSE+hRwcPmI1Fj5wexs+eBEjPs93MT6FCCw+8xUePqp7Gz76Wx4+SO0aPj4THD5/1i0+IjdBPpZRTT7C0Uw+EBI/PmhIHj4L6RU+POIZPhK6IT53PBo+CO8HPtfCCz485RE+rRoVPgv3JD6fUyY+2YktPouGNz6cBi0+QSElPgUbJD4GCSE+VvgiPgoGIz7oCCc+7dQsPisHMj5R1Tk+SxMqPvT0Wj6mCD0+1H8cPt6HID6Q1So+HoMwPrkxEz6kmxc+xg4JPlDTCD5GzAo+t38TPjLDFz57CjA+r15dPgiQQT57EyU+OR0WPqTKGT6Rmxo+WOUPPpCjJD6OqC0+g9EWPohcDT6MhA4+91MVPm0eGT6p+Rs+TRIvPjRfJT68/R4+PhwXPtniCz4uZBA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/kDIrPEt9bzwCzIE85IuXPK51tDwKFdE8iEdsO+VNJTxinaI8OifCPCXb1jzpsgM91jO5PEBGZTxGzMI8YuH7PLId+zxep608tQnDPFmE4jyekPg8UPj2PC4Q4zwSrvM8AfryPIjIAT0S2ww9G7cIPajO/jyC1vw8e+P3PDH7+jzAyPA8azMGPYzHBj2Zewg9T5YEPZN0CD1+RQ894KIMPfBkHz3Sfhs9FmArPRE7Mj2gHSM9GNwKPV3r+zxecBg9ozYWPSbf/jxneQo94gklPVJBJz0XfiM9YyohPYQqGj09Iyc9f+4sPYM5ID00QhE9gb8QPZG9AD3fCgA95RUFPfUxBj0Svgk98VcJPdesAj2kFfk80iH3PAct9Dx1VAY9L1/tPBxXzzw0o8o8WyOwPP2ntTwrYLE8U5C3PIJbxDztrLg8TWe/PI5Pzzyvzto8PRbjPJfFyDzT/rU8x82YPGdnlTyYLZ88/VmlPJqsqjwEJL48HfLiPJxk0zxQtsQ8oHfPPFFD2DwvvNk8Q3TVPF9UtjyiVak8AgSMPBRwWDxLtEk8TrBPPDgAZjwGz3Q8RhZ6PExdfjxFCns8+MiAPMpcezxGunk8ss+FPHpvkDyDMZ88UI+cPNyaozye9qo8mhynPFwQojwxQKA8sFSdPF1SpjytuKw8d/OlPDMhozyWgY08/2KQPPaMlzwUXJQ8mdOMPDaAljyjg6I8U2e4PGOLuzwlpa08mLu6PI1ssjyy9qE8wtCRPCAgnDzpoag8sqSlPND8sDxDsqk8HTKbPLWisDxgpLI8gXOVPD7hjDxUr4s8G2KDPGY+djyyt4I8cZSSPJ3QljxKI488HJWEPAA6hjzK0Yw8nwONPGlljjwXnI48p4SJPHQCgTy1o448E7eYPNrxkDw8BoM82XaEPKE9ejyAM3o8dRV6PG07hTwtS4w8DsmPPFp1iDzjIYM87bKMPFi/kDxm34A8jLyFPNzVmjw00qw8khu/PDClyzyM87k8STivPD18pDzi58c8i6TdPO5T0zy+Td88FUPoPHom6jyov+48N/LlPPCd4DyWfd88Bc66PMdRnTwCLZw8Y1aLPMjZZzy9/mI8Sr53PB0ygjz06oY8X0l8PAe8eTy+TYc8+EWOPD/ykjwI1Zg8ThyjPIsUpjx0TaA8uqCbPIJxpDzPSLE8Hki4PJMUvTyg97s8hDS3POQVqTwJsL48/4fQPOAWzzyD6dM863TjPOYx8TxO9Pg84DcAPVXLCz2hRwk9SesEPTWZCD3Kdv08df7hPKsl0DwPkdE8MCHMPCIavzwTc8s8Lmy6PLZimTw66H08cT9TPN/ySzwvkG48sjWJPNRAojyujK08m2CrPAjmqDxhSqc8mCq9PJKx6zwBqiA9ZOSCPYrh1j1OXQE+EEwXPuN+Iz5lhCU+tA0aPu+1ID5gkCc+sbMgPtSaIz7G4S8+Ba8lPklAJz69lzg+LMYtPnCzKj6nGh8+j70ePlmCID7cayA+Q/oePlSBFz5lnxk+rv0dPnMxFD5BHSo+dTk7Psn6ID7vrBs+jQUhPhBhGz5R8DE+s/QoPm5vJz6gRhs+X+0QPrQbJD5aXjs+gSIhPutmET7zWSM+iE8zPvAYTz5V2FQ+9ck4PqwWKD5L/B4+R1oRPhulDD5XyxE+uTgOPmu8BT4VoQc+qzcLPsMfDD5h1w8+dU4UPjfPHT50oCM+HPMjPrTvJD4lSyA+VjsmPutQJz4OqiU+FisoPttAKD5lsRA+6mYIPro+Dz4N/yY+ODEiPp+XXT6AjCY+PgIRPl6hFj7hGgA+ZLsQPtmiCT42Bxo+eG43Ph3XGD5ZtxY+kbEcPjfqHj7lrxo+V6w1Pr0jQj5TBzU+QEQ1Psl3Gz5/1hA+kHwAPrPp/D2uIR0+/xkfPjwhFT7v+hM++q8iPpxWLT5GjzI+if07PrtZOT4NsC4+S7UjPrOJHz7dBSI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8p1WM87GugPGezuDwD6rI8EKWbPJCx1jzpKPc8w/aoPCnu1DwE/AA9iGbgPNwU8zwlLPI8b4G6PND2zzxVUwI9ILEHPYxuDT1tlAs9bNYUPScAHD1eNSw9zfo+PbD+Oz22zCc9glgXPREOFD2NWRU9nBUMPX8oFz0L3S09fAwyPSChLz1k3Co9AI4PPQX7Gz1smzM95+AjPasbGT1tpSA9ZHkfPVdoFz1fCxY9YB0YPZEqFj0InhY9jGgXPUg7Aj3GpfQ8e8/iPKhH1jwJm9E8dIzDPOHhwTzR4Lg8UFa7PAJ0uzxzIMI803e+PPWt0Tys4ss8QgLFPIR1wTx/Gbc84xyuPAp9tjxvca08FtmaPB2VmTySfJg8GyuZPKvzsDzw2c48MkjZPEMU0TwNAcM8YTe/PGtF3Tw2aeU8sNzPPPkrtDyEU5k8K/97PKppfDx7Pms8vSFfPGruczy9hXY8A4SBPFkAjTxZ4Ik8kPeIPE32lzw1NJI8OjiTPIkClTz3XpU8f16ePCqgoDxGzIM81AJ5PEM2iDwl/Y08VKOLPM6RkzwVuJY8V0uSPGxcljwdMJE8pxGRPBJSjTxxtZQ8V5aePGo1pzyZPJQ8fQWUPG4/ljxlKKg8U+m4PBRMqDzsX5g8IO+UPLyWjTw4lJI8hCyhPDtGnDyAXaI8HgWYPJj6nzyiKZk8njWOPCyMizzM34g8diODPJ5pgTw4+3s8Q2WGPLDvjDzrjpA8P+J7POo8gTyaN4c81XGFPJuLgjwvlIc80/l/PIFlljxCeY48D5mHPKJkkDxyxIY8cD5+PCo6bDygoWQ8bTNsPKL6azyTCHE85G5vPL42fzxXgHs8ogmDPLAAkTxd2o884WacPMQjqDyF0rM8S+24PFY/2jw5Sdw8HJS8PA0gtTwwMr08rpjjPB+J3Dz6T8w8VLnSPI+Q2DwDqd88q5TIPGOvoDwa+GA8vUBtPIv3Yjyns1o8+S1QPAw+STwWX1k81yxsPHk1dzxfUYU8B0qSPK67kDxKJIw8IX6YPJO4lzwPZ5k8neOgPMyUqzx8Aqk8lQKuPAohrDxzKbU89zuvPPYmsTxzUaw8Fpy2PAe5vTy42cI8ePHEPPe04zwehOM814jbPD4m2jzfwOY8KazrPD+l6jw/fPw8iabnPPJtzzxrfrg8JoC0PBJPpTypYqU8jnavPEDumzxQ4IM8aLx1PH6wUzyLqUg8zAA9POSBSjygEmU8Ihp/PBeyfzwwnYs8CiWWPPoClzy5lLc8Y79aPcaf0j1mMB0+/k8gPps0ID4Zvhk+w1MhPj9vHz6BPik+8vgoPu1SJD4+eSw+9eszPh+pKT4HPy8+3w0sPjhyID7IzCo+ZfMzPv+RKD6MYiM+keUYPrCfGj7cliM+PO0TPpB1Iz59LyQ+IZsjPtNOIj6MrCY+FWIuPrIfKD5YTiU+iVUnPhxKHT5Mlh0+25kgPi5FIT7rMRw+mioxPlj0GD67uDY+xi06PsSuGD7O0xU+JPgMPomoFD7r5yM+kCYsPpudHT5Orxo+egkkPi69GD4OVBA+qUAIPjiKBz7E/xA+fVoePqIuED4AKA8+YEAQPmPLHT4xgCY+Ys0uPmQyKz4Smh0+jSEfPhcSIT4UgR0+V0YdPrQQHT74evo9MjTTPVA3DT5SUy0+MNEgPmRxPj6lKhM+pp4WPskWHT4ioQ4+qkoEPjjiBT6vIhc+BWARPpCPHT6ZNhU+AAMWPiFBBj6p7AQ+qhUNPgoRKj60tTE+IOQrPpY8Gz57kRU+A8AIPiFQ+z32cg0+QssLPkxVAj443Q4+328WPsnNEz4saRo+oMI1PnvxQD50WDE+4SsiPuIWIj7I+yo+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/1hi7O+r/gjwWRdc89t8IPet+vzy3z8U8x3rwPHxJiTxRl+E8VX4ZPXgt9TxQfQM9YwsbPetrGz3R6uA8Lk7tPJBrFj0mhgU9H0ICPUwAIT0yyiU96xQRPQRtEz293zk9528zPZkgMT2axyQ9pz4ZPdEAHD3unSI9D7klPU5yJD3NvBA96YwMPSOH+TzQC9g8zFHGPOkswDz/dsI8ArLAPFKtwjwkevI8O0MAPUNz4jxGlds83bDLPEpa1zzgLdo8EKbdPGB72jz4Acg8Zhi6PCwmqTyYypo8NueYPFtRpDxwJaA8Nx+hPN+FsDxwBcg8ZDTSPIrRzTwJA8A877TaPMh47jzAfcg8wiqnPIiypDx7Qq08aW+ZPFZNizz4mYE8hDx9PMyiYzxCWXQ8liKJPEDfhDzlCIo8yRGePAeqnzyYopA8czuGPKpgjDz4g5U8Ug6YPMglmTxt5oo8HTaQPIQhmzzotZo8efSZPNRKozwOCJk8AMqiPCNKlzxyl408HGuTPFWImjwWS5U8+JSePDcCpDwurp08aAaRPDyhkDy9BZw82+GhPGtstDzTp7E83JmWPBCTnzxRiZw8xlmcPP7zmzzwlI48PTaCPIRafTwxsnQ876qAPJxpgDyuMoE8M7KKPJ+YgDxr1Io83TqSPJE0hDzazYE8LohyPIWucDxnoYM8wo6HPAnChTyOn408Pmd1PF0dfDwjIYM8GmN8PEWXdDwbDms8TeNvPPQUYDzcqmc8SgF6PF+4fTxw2H481AaDPDf8iTyVEJM8TkGRPDYukzwZZaU8epKrPENqsDxsyMA8LpHNPH8i0DyhXsY84Ia+PMQ0uzz9iq48HAawPAOjqTznX6A8Va+IPHDkgTyg6X08ft5hPD+oUjxSUz48qOlAPI57OTwchU485DZkPInxWDy/2mY8uLRnPEj+bjyQ5Ic8lPaRPP40kjwnz5c8HKyePH7WmjyWbZc8FRypPBNCvjx9r7888OCrPFcqpTztIqU8CVmgPLUSsDy8Db08Tcu/PC+GyDyN+8Q8FJmqPDrmrjwbC688XVSxPLjSrzy4lM08ynDbPLTxzzw96Ng8q7fBPH/PpDwqQJk839SSPGLJhDyIYm48Z5VLPOb2OjzESjA8Py0yPGEnQDy+00w82Y1OPNUZYTzqj2s8UTFuPJo6gzzavIg8VM6APMwDeDw+Co08sAjlPPgVkz1wLSA+byooPlsMID5uVis+82UgPqdhGT5hmTM+SFsgPpz2Gj579xk+spwlPsasOD5ZqC0+u+smPtGVKz7i3iY+Cm0qPoYEIT6tEys+cx0nPsD/Hz4lfCY+5rIXPnHWNT4QtTQ+YC8fPrNOIT5aIx0+0O4aPi2qJj5XQCM+ovwpPvjzHj5iJhk+uLYiPmwmKj73zS8+azYePlBBFT7X5ik+q3dEPimRJT4Paw8+bXoNPlQoJz46jRo+kXMiPo56GT6Duhw+HOslPu4lLD7hNB0+KUwSPhv+Cj7tbh0+hRsZPr6RDT5lGBo+da0cPnfRGT7cKBo+LO8ePlF/GD5tDRA+ieoUPuqyHD50xRI+MvsOPpAhED40yO49IzfuPQDJ+D0twQk+1PwHPnsSBT6v7C0+arwXPrlDET7EzhI+OxMEPi/c6T2Zggc+dA8SPg60ET7rGB0+KWQUPlNwDT7hJwo+o6AMPuBeFT6R2hI+A0wXPg5xID7X6UM+WiFAPgMsFz595hw+/PcQPl8OBj5bLwg+s1kHPoL5Dj5aLhs+3SAjPjbDIj7VFx0+38QhPkXALj4Bfy4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9mLo88HWKwPFZCDj2GnJ48Ele8PPt5ED38IiY9peCTPOgvwjy5ixg99vL8PK2DBj2rtxo9CLQaPVTqpzwtV/Y8LdwQPdJ7/TzAK/08ZLUWPT76BT05XtI89eHKPMDdzjx+n9k8wN3iPBhK8jwzhgs9Z4sVPX/fEj3xQN88zGSvPPsU1Tz+kuE81PHTPP5B5DwAJ7o8gvOvPHowtTwwmK08XHCfPAQemzyMp6I8N56iPME/szzNw8A8rSbCPHYcsTyjL8E887fwPJ/a0TzSkbU8+VqsPCvFqzzkKLM8B0yuPAQtpjwjQ5s8sSOJPNV2gjxlsIw8osCGPDDziDze8pA8YN2EPM8bgzwgeIA8eKV6PPiseDwOnGs8TUyLPD35nDzPv5w8JA6fPPq9nDxFDJc8xrmaPOULqDz9Lp88r36iPEG7qTxpK648jrG7PJDaqDxUv5w82zCmPLuvqDyOz5o8KKWlPBidpzzJo588cB2XPKCjlzwOhZ48KyWTPGKBnTxDiY88jKiDPPDClDzFJpk8rmKGPHvkaDym1F08f7tsPNMFejwW9XI8kpWCPCZ4gDx2B288Y0RePOqIazzynGs8ztdlPIIHZzy96Gg8BmB9PG1AczxZAVI8qhBbPKJsZjxLm2g8RUNePHp8XTwGXG481oR2PKaTYTwiI2U86m54PLcbgjzLIpM86ZaUPPjBkTzQMqc8svaaPIGWrDy3a6Q8bv6ZPPTquDyZNck8r/q4PEhMsDyqB8U8eSnIPOqytzyRKZs80ul5PPhdXjzBu1c8HTVCPINGOzxFRDw8Uo4uPLaAJTwkhiA8vXokPOyXMjw/tlI8uIhlPHOiazwuw3I8ZLaAPM03hjxUGo88IaSPPB4ajzz+l508kPOjPOIEnzwMYqQ80K6oPHZerDy7SqU8/OinPOumpzxOxKE82nWjPBZetzxvRrw8HAa3PJcTlzzA05c8rT6iPICwqjwK/rE8H820PEaetDxQA748oELDPMLwxDxagsA8X+2lPAcOiDxTs2U8qwdIPOyzKTzg8hU8y9oEPEZJEjzStxE81KoWPCoOKzzE1DQ8Fe9HPCFlSjw7oUs8029vPILDdzywyWk8G5VtPHNXXDxSQW48Uku2PC6c5Tzn3TU99AkJPpaAND77bCg+lwUfPgPdJD4PWkM+rcUgPuZzKT4euSE+q/ggPqcAGT5XFyY+MDgZPg5jFT6bYiI+T5glPvCSMT4dVyA+7g4yPsHtKj50XRs+/dQfPj1jHD7p0hY+RmwhPuywJz6fcCs+LCwiPgv2MD76Djk+3z4dPsLkMj6vJTQ++VYaPnkRJT703y4+Pj4VPtqfCj5cwBc+v/IdPphPLD4dTDQ+xHQZPkXqEz5GfRw+wskVPhJwDz5ytxA+3Z8MPut8Fj6c5hw+ss8SPpOkCz5hNhM+CcsLPq0oDD6M7Sk+HCpYPpfHLD6GZSQ+T0saPgQY/z0HwwA+/KAKPonhCz701Ac+Ax4FPnGW8D3j/uc9TkX7PThc+D1cGAw+1jAQPir/5z3fOxM+uk8SPol7BD6q1BM+4U0APqdjDj4AlRc+sAYcPquNDz7e4Pg9P8j2PQpqBT5kghk+tv8gPvzrGz5bvRQ+1u8gPqhkKz4XAi0+heErPnR6ED7FNgM+RZz/PXQjBz4H7CM+UHIjPvkeLD56XS8+yMcVPs2nDj4cpAU+l2saPm7AOj61yjs+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7WluDsg0SE8T8SVPK3EzTzBDY88+2PaPBjd5Ty+M4k8Bia3POmatjwhw7M87vyYPFgitTxB1Ks87Ld4PKWWoDzEKLU8foCfPECgnzxEa6M84X2rPLXjoTy2Eas8MDDAPI1Y2zw8LNc8S+XGPB5Iujxh6co8DZTdPA6N1TzhLLo8oPSqPJHWlDzT/Yc8//iDPJ9TmTwfUZE875iLPFRelDyHhqA8IdeXPM/5mDxUk5M8nuKOPDYKkTxtkIg8YdCIPNDhkzx6hok8iN2LPDWVkTxjYY089bKRPBz8lTwYRp88jmekPIxypTy9Upc8J4+jPD5PpDz5M6U8jn+iPHx/jzxFp5Y87GCYPBkEiTwKyI08g52dPPkFtDwyvqk8xDumPCHMmjxa66A8yJ2cPKrokzzjM4A8W6KFPFxmkjxGGos88iBlPPCKUDxLElA8oT1LPDs1VTxty2Y8A5ZVPNNpXzwFZm08OStqPPHqbTy3LnI8WjxoPOiTYTwEVGM8hDF2PAB4ezyhdG08Su9rPHkAcDxj/Vw8mltMPE9iZjwtYm88FYZxPDgtdTzYoIA8lmOLPNk1jDwU4Js86/WhPK3GljwJNpY8XRyRPJcEkzwzoZ88W++hPJ2/yjyHg8Y8wAaePGIijjwor5A8rPSJPEC4eTyNo1Y8DPpRPHoCSDy9dDA8p3YkPFkPHzyeJB88HRojPHIKLTxzj0I8yJQ4PFd/SDxwz188Cet+PPc6dzzFjHE8vOyGPG24iTx+pY88Rt2VPLgDljwwW6A8frelPIVynzzHKJw86LKePIuYpjxKPac8YB+WPMf0lzyDApk8suaHPK9IgDztQng8VX55PMaMhzz0z5U8vfuVPEsKlzwUqJY8YXeQPAsOlTx8/Yk8N0JvPP+ndjzoWIM8Jot5PPRQfzyrVHw8kAC4PPtgIT3TAgI9jd0OPNH/rjs8lAk8U+cWPLwULTzMNTw8qHQ9POQpUzzsEVI8AdlaPK6eWDz0zEw8oqpOPIWzPDzesUI8NpA0PMisODz6A1g87XS/PCzahj10zgM+hJ8oPjYUHT4LvyQ+sN88PuxgLT4Jch4+QVwjPj50Ez5Bghs+w50bPtdIFj7Y+R4+P0gbPu+FJj4Xpho+tpYfPjpMJD760iw+PpYZPrZLAj7lyg8+ZDUgPh1xLT6k3TA+hWsiPqnCFj6H4Sw+Nl9FPtxsMj68bl4+l0E+PpkbND6OjTQ+UmMaPlfyHz6uGBg+QScdPhVlJD5AL0Q+iIE2Pq+zHz43Dwk+mEgOPgwrGT59lCQ+cq4SPlpkBj4i4gs+fOMMPtcEBz4t8AU+L0wQPiuoCz710gs+j+oZPvVKDz7c/xM+pPMIPtRIAT7wlwM+JXz0PYJb8j1tW/w9d+L4PVGK/D0xuQo+DzgLPn0GBD4IIwY+cfkDPhDJ/D2PSP09g4sVPoIwET7KThQ+TEINPqTnGz6KuR4+i1ckPvFPPD4byUQ+En87Po8QGT4j5T0+uR1EPhC7Nj65sig+5F0bPtzEDj5pzBo+Z/wNPmUcDT6f2A4+HN0HPtWLET6sOzU+xI4+PiOKRj5gP0I+h4NSPlemRj7sSiY+jF0UPh+tMD4K6T0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/IKMMOyf3DDw6Enw8BsdfPAklmzyKOno81HV7PGA9QTwZKYM8+lGBPN+Bgjy/a6c8l4S7POpGjzxEhKI8yUqsPEFUvzw3BpQ8q0mBPNXHeTyOQHA8kdhtPBvAhjxEDX08pSyFPKh5mzxMrLY8OXmkPDGykDz9U5Q8ih2OPFhblzyuZ6A8FkigPKA9lDxjcpE8g0ukPCQfpjxn4JY8voScPPnFqTztK6Y8mMCmPLmtrTx3Mqg8fWKbPJeAmDwAdZw82eKgPL3UnzwdKKs8LE2sPItNqDyKvp88qxqqPMGysjwhWaE8pGGOPCJHjjzI/n48CFJ5PGD/gDzOkoM8tHCGPIfwejyQInU8opVgPOIWVTyUUkg8yrRRPO2+Tjwtykk8M89MPJS6XDwBpWc8kFFtPNBDdTwyb2c8ULpwPOVoejw8NX48ChNwPB3GeTyqboA8flOCPBQjaDz2H2881JR6PLnBgjws+IQ8sxGCPMxOhjxsc4w85mORPBzVnTyTVKU8f3qgPH8gqDw3dKo8CXirPEDosjxWJ7A83K+rPMZrxzynPKY8mXV4PKBbZzxkkUo8qq1NPDisTDzU8zY83IImPDb7ITzhMy88LH4lPJ2BJDzUwyQ8gWAqPAu9NjwvPUg8Sb9PPK1pSzx34FM8jKFpPEDzgjxEuoE8bQ6JPFUlkDwNxJg8/AmTPEyvkDyUU548QY+kPCrQmTwgYoc86Gl+PACmeDzA2m48YrFnPNXocDxAvHk8/Q5wPPtVaTyCqVs8f+RYPGwOYTwMYmw8R6N3POC/fjyyNX88iGFtPG2CkDxHpaE8boYoPTl8nT1djqI9XoqvPfWexT0Xf+U99asXPszYIj5zZew9Pb2kPSkFFj3upVs8Q7QvPP/uSjwgdzY85IkjPJMbJzx6aiE8tJwfPE7dKDyoYiY8dhAZPMEdFzwYmSA8u8sdPOrdKDz2u0U8Jc5bPFnoVTwGQbk8vixlPVKpzj0odQo+qBAbPpheHT74fj4+rQYsPn5aEz4awh0+FyQtPtsJKT4hJio+7xgbPo4aDj7QLR4+goYrPuWYKT77sy8+V5caPmPQEj4hTRE+wN0YPhrfIT7j9Bk+hRxGPlC2VD5v2TE+cSZSPnb9Qj6M60Y+cToxPs/nIj4K7ig+szEiPgKpDz6JyRs+DYkhPgP6Dz6Jpyc+5a1BPrkMKT4VXg8+B0MSPuRhEj7u+Rg+Nt0aPiVSJj4etiQ+GF8MPgnvCT6tDgc+PP8cPrtlGz6QNiM+yfkVPr7gBz5CgAE+8rv/PUjH/z1mj/o9D44BPoWUAD7UH/o9v9YKPniKBT5eeAE++UHzPY7K6z1bEQc+BCwQPn12ED7t6hM+7EsIPvO8Bj7W2xY+Ec4qPvyJKz4ZNjQ+J+otPoyJKj4exjM+xsYoPny9ID6JOyI+m+spPmjXKD6ueh8+r7cfPt6mGT67dRM+D6MQPoaQFD4iFRE+mhoCPnauBz68EQ8+jjsUPj1HGT7yZBo+olwmPuA+YD7bo28+O00YPjqvGT4ynhU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyzEqTvvOkc8QxN4PGWIrDwh0zw86IFVPCThejxFu5M7rvcIPP5TSTzlSDk8zN1iPDarkDwWEas8+0JGPF2kbDzBMJQ86JuXPBnGlDwXDYo8S86HPJR/fzy9nos8NG2YPGW/nDwESZ48rce2PJU1tDy+2a88mIChPIn9pjyD9Zc8uf2XPMumnjyd9Z88YGqXPJ+ckzz+G5w8oKu7PC11vjwkiKc8G+maPKlcojwpOok8pUdzPLzUYDx/Wnk81g2DPASSgzxAN4M8PcJzPNg7dzx7cHw8dNpqPCSXVjy+KkY8FrpCPKRQOTw2g0E8ZuNVPEkDWTx2V1s8vcNfPBDAYjxlIWc832ZsPBn0cjzYmXk8CwR6PMRhaTxQB4Q8GfyCPJAYcTwgzG08W3RzPFCwgDzFoHo81eBrPGyodTwpW308VyOMPFkFjjwAGpk8mjStPA/TrjxLiKo8AYWoPH36pTx9mo48NPR3PGzReDzkx2o8PC1RPLW9VzyfXUQ80o4kPCR0Kjz4pR88l78ZPDYOIzwoLDI8wv0lPIyoIzzSRjg8fZc/PMCiQjyn/kI8onZIPO8lVzxN3Wg8RUFsPBwPezzrkYY84JCTPNDciTyPU4s8ACiLPNyuiTxNwYQ8gtZvPLALWzyq+k48tYJKPOiePDw530E8NQ9WPBI7Zzz26G08EApgPMDPVjyybD48LsI6PBU/VDyDOIE8MPDIPKXfNz1z44k9vniYPbEk1z3yJP49vXwgPg2GOj6/gS8+k2QnPs9QKj6G+S4+p+8nPvcoKD5xSx8+HscWPhkFDj7DvMY9UsJZPYER8TwzVTo8TAodPBfHCzx8hQU8llUBPJRWBjwg/BA8XQILPAlHEzzPxg08wQAfPOT7NzxcmkQ8fWBJPNM5RzxUQGk87ml2PMsqkTz3Xwo9XxhDPZslNj1HENw9vEkkPogeGT4T2iE+vsE/PmubNj6zbDI+/GMrPtikGz71TR0+tIYjPgAjLj5Gszw+gFAVPnaGJD5+E0Q+F408Pr9qNj7hVA4+/donPnDqMT5ZHyY+ntUPPpDqET4L5yI+B3QqPhqVIj55eh0++G0gPm+dFz6kERY+TKYhPilhGD4DyQQ+T30VPkaUHT66GzQ+b201PgVJHj7TuyM+nZIaPuANHj5LthU+xzoVPjhABD5eo0k+6R9TPgi8NT6XJRo+bh4DPno9/T0lbPQ90g/rPRal8T3qUQU+7UgCPiz8/T27OPA9W7DzPVHH9T0O4uw9UNnsPcRM/D2feQM+e1cIPufjEj6Y4xM+O48QPnUSED6rLBY+/VEVPn5ZFD45Khc+BpUmPr4/Lz5A0i0+5REqPq+PHD7ImRM+z9kSPmEhID79dg8+pzUIPi/BAD5XGg8+htscPhNXHT6l7xI+9ZYNPhOeBj7J4/89wPABPhkkIj61VyU+jK0nPjPTKj4YdR8+lTQSPpb2GT57Gis+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/DG18O/xqMTzhlno8sCyBPOGQeDxU4Hc8AcDhOmzo6TuIyl08DeiAPAFtYTywWWM8qZeWPADuMDzlZlc8hKWZPBq5oTzpiac8daKaPGZRkjwiAYM8CZqNPC4YozwfD5M8m+2iPK1Erjz9+5c8O52APLpgeDwD3oA84mt8PC1rgTxNwoY8cIR+POzGYjyRTms8tEBbPDXLTDzLsVA8wg5WPAEMTjweaUg8jBU/PAquSDzM5Wc8KpdwPKAZXzyySmE8CMBnPNH1VzwifX88B0puPKo2ajymSnE8hKZePGeRVDyrRFw8ANRuPMCAdjyxPWw8aqlvPLp7fTymg3o8mvqJPMMblTyWXJY8wa+TPGMikzyu1508uFm4PCBVqTxEgZQ8bqFwPKXYVjw9PVU8QUlCPDG7Rjz/ODo88B0vPPBnKjxNjC88t4YsPM3vKjy+FiI8JdsdPG7oIDzokxo8jqQcPAfpLTx6cUM8O1s7PP4aNzyj8z88eMdIPJVYYjwFDHE8Pbd6PFrMdjxvMHg89waIPEm4fTwwE208mHo9PGk0JzwZZTQ8lIQ5PLqKLDyhwDU8HCM/PN2dOTyetDs8ehJIPNMzaTwzvpg8hn/APMTt8TyVPxo9RSt1PT7czz3AwvI9srQNPqsmGj5KAiM+McMdPixnJT5GWSQ+NVYdPtTiID4ihio+qP0ePnfgJD48eiI+n48dPhccGj6eqv49GtSoPa/VAT6r3SY+cE4cPiK0CT5eA8o9pEyIPVPMtDwLRGE85+cSPLI+6jtYeuc71PjuO4X8DTyuVSU8dAYZPBICMTzNzUY8Zd5HPN6ESDyGzk48QHJPPLjkXTwuDlo8UshMPG2rVzyHToA8EWmgPM4IwDzJolk92i4EPmd8Kj50OiQ+LYEkPhONPT7SVTM+aOsrPiPfGD5V+Ro+O/4hPhwsPz5XrU4+X0UsPj43Lz42EC8+34hAPuhOLT7wgy8+Z+40Pi7RIT7ExBI+hKQmPoAiIj71mCI+uZgbPscPGD60pRw+QPwTPqdXEj4xeho+AhUUPkcxET5UthM+DCcqPhJiPz6MMTE+vAcSPhNPGj7qyjc+VncxPielLz7g3E4+duoxPhV7Oz7E/C0+xIUcPiODBD4ZvPQ9JXPyPQIP5D3BvO49m0H5PazQ7T0p3vI9WozsPbkT+j3qJ+09kJrYPZLu6j24Swc+XQQQPv+ZBj5VNwY+VyISPi1sBz6qxws+YeMdPoMbHD5jTBM+DYAbPlC6GD6HrxQ+52I8Ps7ePz67zjg+AasQPs9tDT56LhQ+ZaH/PTGzCD47ugg+ZwwhPgQIKj6rBxw+nZINPqZmET7iNSg+7AQXPofGEz5UFig+qv8kPreXED4AFAE+gDMKPufpEj72mR0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9SrEk6QLEOPC4NgTxSfUw83HFSPDDvjTxa0WQ8Dn0JPLHFTjzEjEQ8amc/PFIRXzxnbVI8tM9DPJg7GjxA5RA8+Q0oPDJmODxsBUg8xDxKPCx5Wzwh6208ZpdcPDU7VTzZ4lQ8R+ddPOZedTzo/nE8r+KAPDBNgTxxrYs8kbOGPHgcjDwdVoQ8DzeEPJanfzxjC248+v5/PNCIizxw04Q8W9mMPM9+hzyB4ok85X2YPFNlozxTmas8XMenPGTboTx2V5k8j+CFPDZXZDzV+Fk86vxEPCKRNDyuLS88c2U1PJS8PjwFSD48QmkxPO0eJzwY5i08RdElPD2xGDzlKBc84wEWPDAUEDxcsh48MRwhPIXeLDxHmjQ8b0tBPPmfSjy9f0M84AtIPK/xVTyfTmI8p1VgPFOpUjxBsFc88gc6PLmMITw5Mhk8wooePOFUHDwlYSI8ZcYyPFkGlzwhR7I82Rz9PFOHTT05a9E9lgnUPU8k5T2buB0+Z08wPhsIHT6l3xc+tu0bPnAbKT6EGyM+j9cZPj5TID7NuSU+DycbPlFcJD4sXyY+8cksPifxJD47ZiA+FOUgPqccIj5UnSM+Mo4iPjYDIT76nRM+mLcbPiJpHj67pxk+nhcnPot/KT5dKis+zGAsPhT8Bz67Ae49dql2PVa+jDxrohA8L+wCPHHJDjydUwY80OkOPPACLjzhFTw8vNw5PHUuOjyhukM8LmZQPBpubDwr5nE8zRF3PJGWdTyu7nw8e+KSPDeqnDw8X5M8OleuPMLcMz1otnw9jKJ4PVGtqj3C8Bw+1xqUPo3oDT4D1Mo9UEsQPm/gNj7YuUA+bBIjPv6KHz5BhxI+sq0OPh/bKz6rrzA+X14gPvJ/WD5MFkw+CWUePvA5Jj4K4S8+tLQVPuWYDz6MVRQ+IG4YPmbcFj73RB0+7ZgZPtOIED5pxBw+BxsVPtNMHT7Oe0E+G2ZHPkgiMD5a/SY+X4skPhM5FT4NQwk+gxIdPtYSKT5ZFCk+0jQjPki4HT6z6BI+m44KPlxFCj6UyAA+w1YBPu/cAD5bVAU+d70OPhimDj5QWAk+GYAEPjd7CT4i2BM+DxcaPuOSFT44hAo+cFgNPrKBBz6JZwY+DKgXPhxEHT75+hE+eTcMPn8dBD6qMxA+we8qPtdVJT4vdCw+MGQPPsX+ED4TdiM+9gEWPtE/Bj7Cxg0+fLMiPpZGMD5WaTE+k3odPiopIz5vniM+5/oYPph8Hz4APkA+a54nPvflBj63Jw0+FHUTPmjhRD6g+5E+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2qPnDuKObM71gP+Oyu1Ejy0uxg828Y+PLb8uDtaoBk8Iq89PNkgMTyMcCA8+klFPD54WDwaoy48XTVTPHN4azzozXs8jslzPOqbfjx5co48EXSTPMPZhjzYqYs8IWWMPNl8ijwLwo884r2UPKHLjTwsz5w8JiytPFYIujwHPcA8bTmbPOVhYjyE3lI8n2JMPNQ+SzzgJk48P4VAPMApNzw8LDY86R1IPLZkWTxHTD88MwEsPEBJJzx88Ck8kEIePCHgGzxImSA8p4YcPALFIjy5Sy48rhsvPH3HMDyK/iw8Btw7PDOfVjwfZ0Y8RABCPJQTQDzzWlU8H45nPO0ZijxxgcA8kTDZPF6oAD1I2TY96DR0PdYCnD2m6uI9ghvuPTVA/D2UQwI+vsvpPTdYMD7QOWI+paA9PiE9Kj6VITE+tQA2PnP8Kz5xpic+Ks4kPo9bHD4INCA+b/AVPs2UFj4HFhU+O0MbPmYFMz6/KCY+85YnPghdHD7W8xY+I4wXPomeEz62gyc+/tIoPk6QHT5oGBY+y8IdPs5+KT6+IiU+8zgoPjlhJz5/pik+Xt4rPpGmJT42zis+/AQiPqfWsT33qvU8Q2VaPOdrFDzy1Ak8qHYVPG3lGzzbPyM8K+IrPIANODwY6Es8xCpaPHoCWTwgeUk8Wc5JPKrFQjwiWDk8JHdQPFZobjzD/oo8L+OGPOA8gDxOkI08X3eCPGrOXDz1hn485PFwPRNM3zzBa2E8gvqQPOzbYz1xnMo9b0niPVBUBD4beQk+IRwMPs+bMD4sVzo+6z8pPldrKT63Xyw+6AEhPlWfJT7kPC0+fxwtPpXLKD5UOCI+I3UbPu6WFD4NFRs+MAsZPtS1GD68xxs+5IQOPjVCCj6/8iM+8YI8Ptd6IT4qWBE+tvcXPtLyFD42OB4+6ForPp/OMT4ani0+iVw1PvA7Ij6j6xU+9CcbPhllEz6ZIAM+fKUTPuC4IT48OyE+ZG4pPqZ5JD4BOSc+bpAiPusyLD4GEyw+JYAvPtfDIT755xY+NY8SPhGEHT6LCiE+ZQMpPp2lJz6y2CE+IC8bPsdqHz5hhU4+47tWPvCaIT5jsRQ+h6wLPmKIID5sHiU+LJ0SPlVsED5xWTU+jSI+PpdLUz5+BGA+0XZrPiuqNj57bSc+yQU3PnSaLD6IvzE+IyMtPuinGz5epyM+MpI8Pi++ST4WZ1I+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH83kI87BmANPBzSPjxWVEc8B1E6PLwbWjyw2oM8NGXwO0gmEDw77Ws8WfNkPD1VSzyBG2s80gpqPFjzKTx+5ms8r8qMPNZHhDzJgmM8Py5GPNCrNDwpBSc8JgskPKBYMjz9UEE8tr5MPMGFWTwR5E48X2dPPIheQTw4ODg8dEgiPCqrGTyxCh480XslPMQ+JTwaviQ8BKobPHDXODyankU8P3YkPKYRKzww70I8Ff5+PBweeDwmcaU8d/DpPG9eKT0PoZQ9FRitPeQpxz2uvBM+3ncXPkmAFj7mHSE+2cAoPqPjKj5YKzo+WXQ9PnJJMj4oIjY+Kqo6PlDIMD6x4yc+NL1TPqKWNT6a1yY+VHEcPkdxGD5W2xo+JPoiPrTvGz57FB8+lJoZPlPzFz7Cnxs+4T4YPosFIT6TtCA+2ZsaPjHuDj5Xmw8+W0kYPudtHD7ooBw+O90WPt09Jj5OySo+FBUpPo2rJz5wOCA+dSAfPgctIT6DfSI+tOsePiR+ID635yA+L5guPha6Kz6v0CU+ALYMPvDf3T3mFrA9sgFcPdqrZj2xaDI9+ImYPJK3RjwqcCU8zBEkPBp0EjxmFP87SGjvOwuhFDxMhjc86i9APOqoUjz1X3s8+O2PPFyQnDyriJk8IUacPNVIgDwhan08Mc9zPNE1bDw9r2o8AN4IPC/O+zu9cq883m+PPaX2xz2onFI9Y2NCPSPfwT0WYwI+QycGPuT1Ej7IExk+TFszPjA7KT4suTI+gflCPoykKD6R3yk+fC4jPgP3BD4hchM+LKIhPmb6ID4naxE+9hQPPjm9Qz68xVI+BhcuPkm7Gz6ebhw+2+8hPsONJz4XVSg+fBohPj+gKz50iCA+IDccPp4NGD52fR0+yicmPqKgMj7n2SM+NO09PnayRz7RiDs+33gmPiMhLz6xU0Q+C909PkIAKj4FTSI+QWw0PmEYLz7r0Ss+tBktPj01LT5O1CQ+714tPsD7Nz72NUA+4rMsPpMFKj5PmzQ+IZhCPi/hKj4+8yU+CTg6PkKKNT7Xqz4+7EguPqxXKT5q7Eo++WwwPpncOj54OTQ+gWckPt7vHT5TSiU+GPEwPjvcJj7nMiM+sMQ0PgJLMj4PezM+PBw6PsePOT61HSc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf75ekDqF/aU7ycbuOxKiJDzZivQ7ANAQPK3TNTzv47k7UQLSO3e5CTwZUiY8BvwEPHx7CDxiByY87ccEPEJpMjyqhEY8HUKVPETIDz3u9yM951w1PVtgpz1qP8w9Rw/KPRL4CD5W4Bc+gyErPvYjKD6xnkw+eO1MPnekLz4C0iY+1NEuPl5rNj439yQ+9LAnPsb/Kj7pQTU+Td4xPo5YMD6K3yk+7cEzPs/XIz7xago+tiJsPmKoQD4BEzE+UQg4PvVxNj4RXiU+m/gZPgt5GT6TMBs+3+snPrLuKD6O6Sg+7CMkPlJnMj5+8yA+ggAfPkONID5+zh4+rvUhPr5THj6Ddxs+yEsiPk6jJD57UhY+4fUUPveUFj7ZLCQ+UDgePiHJHD7ZAxo+8ckdPnS+Fz5cWxc+YqsYPlQwGz6SZxw+LHoZPmpnFD7bqxI+47suPuoUKz6RYhg+IhAIPnKjBj7R2Mo92L27PRTxvD2YhIQ97dnCPG4LQjzkHj08w15dPAOpbjyKY4E8qXuEPKvjijwddY88nw2QPBrgdTwEo2s8RTNdPLfJbzz4emo85dwCPEEDuTtdRP47BUi2PYJDJj45wiI+YRzePeATiT21wJM9Sj2aPQLt4D0z/gg+thnjPZAPDz5A+x0+W58XPkhRFj7zbCI+MmEMPluQFD66Uig+2BgmPg/AIT4FZBo+HcAsPq8cJT62Jy8+RWMlPpy3GT7eLSc+5sotPmYcPT6eOUE+C6dTPr4NQj4gpDI+jXIoPhLYOj5rSUE+hnw3PkMEOT4Ahy4+HHA4PlhJLj6YTTM+UTQ9PsUqMj7QICk+t3smPnNkKj6rpUM+Q75FPkR4QT4khzg+CAwtPhkyNj7FjDY+KG02PlBkOD7reDc+Cj8uPnQqMT4waDc+O9M3PuZEKj7ukiY+RRQwPlDFLT5H9DU+UmMzPpRzKj6Hwiw+OxghPmh+Iz4uxz0+6eQgPlZGJz6hNi4+o0QkPkvDID6d/hM+hFciPvxuOT6W0C8+085RPukoSj4qxyo+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AthJO7/U4TsmSjY8mNvRPA+teT3wqaQ9mzh+PYgBtz25heI9txrlPWmT9D3P5RA+T842PpWcQz789A0++wkkPqTuKD6ExRk+y1MyPqZARD5XETM+LKkjPhMjKT5LfC8+jX05PtMzOT6qex8+yX8RPpU8Jj7tJyI+S7B0PslYST63Ry4+b0QlPvBBJD6wiyM+2qAaPuCODT694xY+wR4bPqpTGz6GWBM+GU8ZPjktIj44iCk+e8MpPmDKKz4/GSw+CYczPjUKMj7mfCQ+3ogePr58Fj7qkQ8+jLUGPjn3ED61nxE+lJsbPqKeGD7WDhY+qF8oPm5bCz4nThY+h10ZPpu4DT5nKA4+BJ8VPtXZFz74MRg+7VUkPo5WIT5tLRI+tkcFPmd0DD6XBxM+TcsJPmHuCD6X1TQ+6ccjPvI4zj3j+Hs9uDAlPYdokTxwG388dRKAPAGcYzxTzV48rMRkPBlRdDwwhok8e7aBPKrbbDzLrV08BL0mPJSNJzwArlQ9YD0QPm2+Lz7P4TQ+pW4mPt7rGD7Y7xo+2YwCPnwFAD7BfQo+FgAHPrd9Fj4Hhgw+QrYWPoZSCj4bDQs+T7gRPi5nFz5pGRU+07klPi76Lz5h7Rs+CRUoPkRmKT7YcB4+dEsVPs+aJj7lyCE+OjgpPmPOOj5eWUA+kGZJPkiqST7sc0Q+BgAePrOEPT6qOmg+hf46Pn/QOD4Y1S0+jwgiPs22ND6+XjA+4v8wPgawNT63uzQ+R+ovPgXLMz4evzo+qawyPl6rOD7pwCo+GKEkPn71MD5SOyE+UYYsPvXZQj4GkzA+dC0vPruMMD6gaDQ+qpQ3PmZ4Lj76Wy8++9swPsb5Lj4Umj0+/D41PpekJT7QMzU+M/QsPkyuHT5R2ic+t30/Pq96Pz5EESw+s1BPPu9OTz6AxDI+/Xk7PkiFKT7gUC4+2L8/Pv9ORz4GgC8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+lcIY9zmToPbRLCD5J3tY9JVYQPsjWLz45yIQ91ZerPSx//z2DDfM9AYzqPc51AD6BgvA94pKaPWbH/T343jY+hR0/PjmdDz6PexU+0OAUPrPiBj5gswg+mMsMPnjtBj4gew4+11IVPpTGGD4vayE+f6AkPskcGz7mlCI+sPYRPtzUFD4tViA++D8kPugiHz6YNCA+hd0hPgKvHD4oTxw+GzAiPi2KKT7QShU+1XwPPvi+Fj5F3Co+p1omPmt0HD7K5hs+d+YPPvzyDT4ZrRU+qbMUPpEbED52jQc+bMITPhCVGj4lJBk+UlkbPlssFD4wTws+Lp8QPmI3Dj5g4A0+9lAFPv0ZJD7m4TY+128fPm9N+z0X2849TN/FPYNR0D34r0A9GS2rPBOfQTxXTV88P5tfPPb+bTwOKko8H2j5PIG82z0Rnx4+SaQhPi0SIj51NyA+3ggjPnEZJj7TUhs+UVchPocqHz4IzRc+yKMPPmatJz6etw4+Zs3pPWJ1AD4EvRM+euI4PshlLj4DjB8+iNMtPjHHIz5o8Ck+90AoPlTnKT65giI+/NkfPvonKj52RSo+1bIqPoOENz6oFD4+lQQ0PjVNRD5+3To+BvQdPhqqJj6tsyw+VgErPi1qIz5ZGik+T2E5Pq88RD7/ezM+W/oiPsvfKD59tUQ+4409PiATOz5Ywjg+V9k1PkSPRD79uT4+Vho0Put3Lj5TiiY+fj0uPgTLNT7zJxw+ml0yPrn4Lz6JQyY++s0wPoGRRD4dbFY+fg1WPmfjSz5ngzg+N7Q8Pg1kMj6wiDE+PJg3PriGOT7O5TU+1N44PqfXMz4ikjY+leRHPla0Oj6pOjM+tOkpPjeBJz4YZDw+KA1KPixuOD7SzDA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/myLWPA7KrT2AoyY+uQIEPtnHyT1ZKgc+M9INPtNzOD0lkuM9C7v3PZaCpT0b+bM9kRzYPdRJdD00kLM9kb4EPqXK9D3YU889MhHcPcVACz5fig4+gyoTPojJFj6n1TA+vWMhPvRAET5ZbRU+wl0KPiHkDD7m0hE+L5QUPj4YJD4pIik+OIMsPh/YKT446Rw+c0sePlGoHz51RhA+BiERPmQoGT4CVSE+aLoUPrC2DD7YlyU+AgkuPlqMFT4l2hI+RLwKPmW0Cj4Zzgo+ZWgRPk+1FT7RRxo+ARIcPknVHj5SwBs+CKUYPkk+GD7IwRA++Tr4PR283T37DKY9AwEwPRki/TxTorY9hOUaPgBiQz7Q4UU+YgslPqZPLT5zUB4+dqckPt5dIT6mjx4++LctPszNKT646Sk+QD8qPrL4Oj51txU+6EoAPuEtKz6jgDE+facvPtSIHD6JAAk+0zgSPhBpGj6U/C0+TVYSPi8jCT5OpQU+FTYBPqwqED7DGxg+iyUhPpL0Mj712S4+y2YnPhdpLT7rHSc+2bA0PvFBIz7f2Rk+jc4cPqRrDz7dfRc+6mgjPvbCIT5cQx4+reIVPuR5KD4+wyw+VPoiPr+0Jj6y1Ss+mToDPuHpEj6UzkI+5wxLPsofOT7O9jw+aWA+PuUrLT68ci4+kvs1PuwBMz5MnyE+rsIiPvdVPj6fij8+uc1EPpocPD7pqRc+nkEnPpmAMT6OYjI+95wtPqsnLD45LTQ+E0BvPu85Rj5XnCs+LFBDPlNmPD5T/DM+CcUqPrDbLj4LqDo+oHE9PgjdKT6vkic+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+RSf88QTm2PZdL9T0IMQw+xkvaPUg/9D3OPCM+t1evPTT8uT2hGss99gb8PYjs4z0v5+89lmMUPiHe9z0YNgE+rXAPPtoxDD5xpgk+1tUdPjarKD7fGR8+44waPoBHCD7/6Qo+JDsiPs1xID55AyY+o1oQPtYbCz6IOxU+OIMePirnIT5kgR4+oJ8fPplnGz5doSk+m5wkPkQnGj4bKRc+hh0cPjUJHj6XmS8+g5zmPao4dz3JnrY9/g3ZPdafBD5uiSs+wRIrPtjoIz6gNzQ+wvkiPoafHj5dOBM+uD00PjDiOj4pNDQ+qocmPgiGJz6X1jI+o8sxPitCRD7ZD0M+wNlCPh0UOD720yY+FcUgPlgJGz6hoSk+RTovPvVGHz6XrCA+MIAaPmecCz4/+f49tjkBPqSsHD6ppCo+8hQjPuftMj4VoU8+6RlAPhQhLj4D/yU+NiE0Pua2JD6mYxY+Vb0oPhARPj6eqlY+vttMPpSoPT4dcDs+FDAyPqYYMT60ETM+ZngKPt0FCT4Rxig+RacpPkedFD6qtxE+MyMZPkvAFD7ZYQ4+d00NPvDhBT4O+hU+fn0fPqVwNj7VuzM+qiU2PqERQD6LQSY+pUoqPoh7ND6g3y8+lu0yPjldLD7vsi8+UQNFPq5DOj6IgCo+UaEuPu3STz7EoE8+BNs9PvdjOD6JHi8+ZS84Pr+WMT4MGjA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+CliT0XD5s95EbVPadGzj02Uco96AgPPprWaz181a09FjHfPY3Uxz1CHKg9lFP8PcuZDz4/dLM9jbzdPbnK1D29nhE+j5oYPs9XGj5hVxY+NuQRPvY9Dz4Eaho+LH8YPqKmKj6Cnz4+A9YyPn5aND5DKyk+hu0RPmisBD6rCvs9NhUBPvYUBz73HgY+cisLPndqFD6JrSw+iMQZPp3BGj4ScSk+4ZAnPm+5Hz4EiBE+RpYRPpyQBz4wKQ8+icM3PvsQQj4OTCs+2pU5Pqb2LT72kis+8XMxPgsmGj5fSB8+V5cqPl/iIT68wh8+aU8aPm17nD1zPI89eJXwPWMzHz5zkA4+GAodPt7uPj6XnVA+sE9GPo7SOT7TFy8+WFEfPtHMID4KPiI+pxovPlxnPD6rqDM+WeQrPiUJPj7v7kc+n+A/PifRKz4dtiE+FkEZPvIdLj5SNi8+ur04PiKVMT7qoig+9JsXPhDJFj5jkhA+VsUaPpGMGz7OWgg+qBUIPlAVHD6ExRI+SNMGPs0wKD7QQUA+vy8xPhmEHz4Aix4+pq0sPt3cID43fDA+QpxMPqdwTD73QTE+9yUnPjZCLj6NCkE+k+k8PviqGT5uhwQ+R40VPtOGGT4wxgg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH83pds84piPPZLjmD1J/vo9nnH/PQj7Bz5OMgs+VzubPfkD3T0xh+I97YDAPTI+1z1hFx8+V56qPQy9uT3KHvU9l0UEPolHDD6+mv09BHcwPmmnIT5wjxk+K4cnPtJSXj5OVEA+wowuPlplGT4VtR4+7k0ZPvh8OT5NTz4+z+EcPkLXGz4EViI+S0MiPn+nJD753Bw+M1VBPhYgQT7nGRc+gt1GPrGrGD6vYxk+9rgzPlGcMj6L/iQ+x/oePrJyPD2jtIE8/i5/PeHkAT6M/z4+IXlKPic3Nj4xsjs+++Q6PqxNOz51ETM+FD4pPpKNOz5a0Tc+7ycvPtv/KT6lASg+YZ4oPpEIMz5ZlzU+UVwuPqCcIj7NXCU+XzVLPl4+OD4Hdx8+VI0gPvYTLj6stzI+uWArPvEVKz4y4x0+GYYkPkVyIz5BhSc+u9YTPlcaFD4I8ic+9nATPvadDD52dCE+NSkhPtmnHj448RM+uZwOPiicLj5GHjU+9P0vPsDMJD57yCM+s2IpPhjKHz5mICA+ksYaPoEbID5P0jA+O+AuPmPjIz5RwyA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8J8CD3thYQ9Z0L2PTuMIj7IAro9xzC0PVqB4z3pMHQ9PhuhPR0I4D316gg+SlrjPRgWAz7JwiU+D1kWPq7ZDD6Y9/49STUHPkxjGD6kC0M+vopEPtaCJz619is+8/QePnoEID73HSY+z6MePktkvj05bdU9X97uPYVzDj6UHDk+L5Y0PtleJz7v1S8+wNwoPv8COT75iEQ+GSwzPowZKT5Qxio+ZmocPvY8KT63Siw+lawxPhZjMj46wTA+ETUqPrIrMD7VSSs+ZAMyPvj2Mj4ZoCA+/fw0PkVzQT6X9EA+2DY6Pvl7QD71JDo+sUAhPm/KFD4gZCc+ZXYpPhNrKz6jQDo+y/8vPj4uLj4SakU+AJZLPi7BST6ytT0+4AlEPqBJST7FCUU+0cs8PnM/LT5pxiY+61tIPoNDSz71ZiY+ULwnPlw7KT7Ekys+oGY3PrQEMD6FsSc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/hqZTPVXyoT08rZE9pbOnPQ/7vz1zrMM95WUQPu9FEz75Rhs+Fn4iPkVYTD6fHyY+DFEfPg7hHT4lHiQ+3oojPjZpCD6zUhM+zRgnPl0yNj63nUc+3rUxPlpqJT4/IUI+vYVXPvWPOz4X5C0+/I4hPib3LT7hKyc+W3MrPu3YNj6Q7DQ+qb4zPj79MD7E/C8+0kY2PlX6MD4oyCk+aswaPtxJNT5VEzc+HtwxPr9rMz4CozM+GH0vPikoFz7dchE+M8wsPmLzOT5zIz4+vwQ9PosDKT7fmTQ+SOcuPmAYLz5ckSk+uM8vPtC1Mz4w2y8+2S86Po8MNj6N2y0+m5VKPvK/Rz5E3S0+HKExPvaTKD7ZVDc+u1QmPhgDPz4uQks+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH94sjE9ozCqPTHqDT78Cx0+0hdUPnWhgz6XiB8+tmUcPmA5Ij6GvBU+RxgoPgc6Kz5KYSU+PGQ/PhipOT6LkkY+GCExPqDYJD4wkyM+sXctPs3MIj5Obxo+AUgxPv8CLj6GMR8+SAwvPquhLj73LS8+dNAzPtqZIz5oniU+7rw0Pra4Qj4XlTQ+4AkhPv1HKT6Kvik+VmQjPk2AHz7QgCU+jEomPn7tLT5mpxw+kZERPm2NKz7oVEQ+rd46PuHZND7QTy0+p1YaPqswIT59bTk+wuo4PiU2Nz7AKzo+VQs7Pj0GNj5z/yw+JdkqPkpPMT7HfTA+K6tDPrNsRD7FzzY+3IUpPnybGz4hLTQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/9IIePY7dAj6zKS0+R1xbPrVGez6PVmQ+z5E8PsDMHj5jrhQ+susIPpczKT59g0E+0DlQPldNFj6jXCU+6UQ8PgK3MD4kmCg+LE87PhffPj6axyc+w7olPvMDJT6oJRw+e900PuFsKz785h0+YsI9Pt+qPD5kES0+zN0wPnQbND5+jSs+DkMePjZDCz7QCiQ+5E8+PplxQD46bkM+kBkyPnaqIj6+1zw+0lkxPjxyJj7N4C0+KzY9PuhXOD4bNSA+B84bPtopHz6VLhs+lNsnPsX6Kz7M0Tk+9W8+PrmPMT5Q4hs+1QcYPk8pJj4uDz8+mLA8PvAsQD7/ISk+be8XPn9SJD7MYS8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/4GKEPbtrBD4UhTg+J01KPkbYVz5G8WU+KShBPj0WIj5ynUU+vyUkPr0MCz4hLB8+VtMiPn8KMT5Gtgo+XdopPjrTNj6+VxA+w7caPiP4Gz5z6Sg+dbQqPkE5Jj4c9Sw+h0ArPqYMKj4mliU+UBUpPo6hKD4Azg4+5DEcPuE7Ij4/GxQ+sL4hPmFXPj5dEk4+7BA/PjnEPz6EIzg+qNAvPr5zMz6lJUM+6BJGPqQkMD4P/DM+DAJFPnkJIT5JUCA+qiYnPgqNIT7IsiQ+48cqPsWQJj41NTA+kMA8PiwHTj4VYh0+d0wjPsB9Lz468kk+MaMyPr91Ij7BlBc+FFAsPjyiNz4UATY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/wA1UPe9h5D3ylzA+weIvPoiDKD6wMD4+lJVoPgbkVD4mtVU+UNBSPo63Dj52yA0+4ioRPv/NID61tQw+TakmPpC8Fj7D+gU+nr8APlNxDT7jcgQ+z+L8PVM1Az4eDw8+hZgZPuuwKT6b0TM++/UnPpmuJT58/hk++PcCPuB7MD6rgDE+AH40PklzZT5YWFI+LDA+Pk9sMD61oSs+n10pPiBaJj64/B4+CyAkPtdiPj70Fk8+l7g8PhUXJT4bsiU+xwUlPsfDLT5dZjU+MilJPvIlOD4a4SU+mEEpPlt3Jz5ygxk+cUkxPucSPT6Wyi8+t2sjPvjPGD5p6R8+zacmPvAtCD4CwdA9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/uGwRPdRVGj653TM+gdE8PoChND4REig+2eF1PhNsdT7FeDQ+Zh0zPvSLMj5gG0M+7dNSPvF0Kz6sdSU+HT9MPj+XLD7utg0+MvcOPqd8ET5rQww+/5QSPvnTCD6O4AI+OEsGPuT9Jz5E8x0+j0IkPrJiKz5luTA+8ZMZPnV9Hj5X5FA+J3+APgxjaj6EiDg+Bd0qPrzbJD76ii4+dcY/PpWFNz6rDSs+oo4jPgxUID5x2i0+gRQzPoPOND7bfjA+2BY3Pgz+Lz7P1SM+RzkrPh6EPT7yYEI+01coPjqhTT4p0kE+Xdw0PkpFLj4jmCs+VHgpPtF7Gz6dDiA+P0EmPi6sOz7UkTY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2wwAz6mdB0+CbggPmNvLD6oxw8+f0pJPhjtZj7uNT0+OPAlPm/aMj4AKkc+BuetPugVfT5drxI+9WgWPlcNIT56Dxg+W20OPgWTDz55Xgc+++IYPiWDCz7JSgs+unkmPlImPD68NDc+FPI5PlLkHj5VCBw+Ap0XPstzFD5IEHw+Vwh8Pns7YT43ZDI+Dc0hPp+NBz4qdQc+VHETPmsYGD4CJBQ+o7YePrxUKj5ruRk+kZcYPtGLHz7sWR8+dd4sPnbwND418DM+LF9GPlSaPz6DjSA+JLo5PljXOj4c6iw+LVcvPj8WSz4RWyk+nnkkPnV2Kj6NAx8+CiQ5Pot7OT486iY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9vu4z3aTAg+VHQOPml2Lz501CQ+83hSPowYSD5XKyk+9ZgvPp+WHz7INjI+dzGEPqudjz5rWCY+d1sKPoRpBj5RJQA+9SvePY2s1D3YqeE9I+EAPvw6AT7NwBw+LWQwPjTdFD63Kg8+TYkBPvSG/T07CO09AenpPXSGIj5b8Dg+bTtNPpVGVT5Un08+169QPvfxTD74FCk+qBoZPm13Jz555Q4+KNcHPmuECD7NdgQ+zAQNPq4dDD4aYxA+ntgXPtUYHD46YS0+x7AwPqpoVD6jAzo+Mps8PmjJQz5Y7SU+jygrPic7NT7unjg+ZFo8PsD0Kj5ZWys+dwk8Pq5ULT6X/Bg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfxpC0T2YLQc+SwMGPqtJGT5IkDA+791APu+gOD73Oic+OccZPiWhHD4hsCs+iBxhPma5kD4EMVY+s4ANPhf0Hz7t1xY+e9ADPk048D14LO89EMrDPRpO0z0qmhg+c8UePtBzCT51bgQ+BnTlPXZmxD2EcOI9Ik1HPmfDWD7UWBg+3pUTPi6rZz7lzIE+8vNqPnvEaD5K+Vs+sXAkPgNuFz50Bw8+h04MPv+mGD4GABk+QkgjPnsqHj6ZJCE+hGwiPvVWGT5oKDA+Li0tPsvUIz4sqCc+7jomPm6pHz5WKyM+F9QWPptHDT5Yoxo+h3tNPooyUD5m9Eo+PE5DPg/mDT7JLBc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/xt1j3kDRQ+Zz0QPqkbBD7FxhM+Hw4aPmyxOD5ws14+NkE/Pt/4Oz4LeUc+nspBPpgxjD5FUIY+/vclPkgnIj4kcxY+HUrmPREoxj1MO+090FMdPkJKIj5w7B0+haoMPkpODT6HYwg+UGYMPpOEDT7kbSU+tbJ+PkNYcj4SJyA+ym0hPtK4OT7zlFk+nO9qPogeSD4Gayw+AXolPs8cMj4fpTM+paQSPqolEz4iWx8+XN8kPu5+LT4lUTA+5lwvPh8eOT66Xxo+fKcGPt8mGj5EOio+LQY1Pm6GRD7uOj8+p1QdPi58Hj58vTs+dU5QPqMHNT6W3U8+Cqc2PrBWPz6Pn3U+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6F57T039Qo+5p4SPp1IDT6tdws+yqUUPu94Ez5Mwio+cj8yPuzHOj7H4lc+1l9YPiOclj566Yc+M5Y6PoydID7DGiU+z2ocPkmMJT6JeiQ+YXcmPqoCBD6KDxI+0EoNPqyhEj5fvTQ+yeUWPnrzFT4iSiw+v5xtPu41Gj5hfRA+kJkbPhLqMT5n6lU+hmhRPjetPj46PjU+KL09PpYDNT7KCkA+Qx4bPvBYFD5HDyA+lVoXPrv5Ez4YTRs+2OEXPjikDD537Aw+0wYjPkWcLD6am0E+HF48Pp0kQj7PD0k+ea85PpChOj4dzzQ+CgmOPnvgiT6+uUA+W/ZCPqy+hD7uLoM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8C6zD32tQc+CVEnPiByIT64Nx0+pWQrPp69JT6G+iI+RtcwPuAhQj7aalE+rdJQPvIZTz5oGlU+8rtGPpOrET5jTBk+SNkYPll8GT44nRg+6g4gPuQxGj4CIAk+WRQOPoP0BT7xdSc+G6AQPvobuT1qicI9iVDuPV45Az7+IyQ+9WE7PrdmUz7UqGg+WYQ7PpvIMT6QVDg+KaAgPvU8IT59oDw+2IkiPvofDD5cqQg+ubMMPrDsDT6lUBw+TMMjPmB/Iz77QDU+U0xAPqOFKT6nyh8+OQMtPiT0az5tnnI+d2SEPr68Wz7BYHU+PYCwPtEulz74GU0+tF9gPu+GTj5S4lI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8Xc5U8ZOnyPf0aDz5dJyE+aoxPPlZKaj7lzzg+YOhHPvoXLj7MXSo+OUEcPlqlFj4rzjI+YXQkPrPmOz7kxJE+3odBPht1Ej6mAx0+QQ0XPpSBEz5IIyI+t404PkGHUD5tRWI+ReZIPhG0HT4ryAY+VQsEPro33D1RA7o9rgAXPlyoFj4dYB0+wFomPlIeOT6wJks+tk9YPuB+Nz7weDk+dT5LPgBbXT5wqDA+XiUGPhXMCT5TwBc+vTQXPl+cCj687R8+6aAwPknkOj7qdDk+FPopPpliOz6uUCs+a+xLPmkwiz5795A+ZdyDPqoslz51PMU+DO+RPsIRRT5ao0I+quqPPi/Tmj5NPC4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7rhIT4Q+Gk9/wr1PcZRMz50TjM+bRBRPoKMcz63ZTA+sSU1PikkLj56UR4+IdYjPsw4ET5EnSA+d48XPi1CaD4nP6c+9uATPjYWDD4sDg0+6gYKPrdtDz6lWgs+dO4zPuGgej6TklA+X2IQPmBSAz5UPQc+CCa0PfZ6rj1GNuA9k10JPp/sHj6nBCQ+RMMlPqJVMT6dTjw+/S4kPumLLT5MkUI+sMpMPuGdHT6cLgI+50ADPkzUCj6B6hI+phEZPqjFFD7wkCQ+cwQwPtjzID5uMjk+BCQoPr4bRT7gDkQ+ES41PlmyKD40GCw+RAMyPktZVT68jmk+aBhUPhy3TT51600+fxZWPu/NSj7vqzc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9NqED4pteY9DscoPn+QQT7F6WM+XLdzPs+MXz7exys+qF0fPhMoIz7TQyc+rYsePvl4Fj4I7hE+UloVPlBmVj5Kepo+dkxDPnRFHD4IrBU++KUnPvqiJj5pYB8+9zA6PkxWOD5W4gk+EO/WPYQC6D34wyY+OHkFPmU+Az5yNQc+5m8dPtu9Iz7pbyA+Ub4oPo8ZND6Oig0+QPUmPvoJbj5StYQ+Vp5cPhkQHT7/WAY+ZC72PWoa9D0MpQY+GrAZPvDPFD5UwyE+e4AxPuUxUD7T8zU+dvBYPt7PVD7ssUs+fU96PtZYPD6Kyy8+L60vPu3bND6RhDs+xBJbPrJBTj6Zm0M+rsEqPs8XKz61BFk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/6A9CPV0Uzjy+jbg9EP7xPQoC9T0iyDA+0MyJPiU+bj5XUxw+GLgPPritFj4zJRc+scUPPmGkDz5eKyA+30gdPmAfIT6KMbE+XQCJPll5GD7PMCQ+lK9HPopnOz7foSU+n1IaPqVvCD4OI/E9NRL8PRpLAz5VkFc+9b0lPuiqFj6sFRo+C9kdPlm2Kj7oLT4+nkIxPi3QTT6diVY++eMyPhaKBz5VzAc+eH0FPvE+CT5HOwI+UpLyPTx1+z07ixg+WlQaPh9dCT6VvBQ+y5AhPr2rQT4f7z0+4SNlPkX7Xj5O40c+wYtZPousNT7+FyU+XmAOPg3AUj4Kyz4+QTExPrbMJz7ruBU+O8E5Pm0pPD6AsiU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwo2kT2oTVc9xpcBPuqhAD71KCw+8txePrwhPD47MyI+/k4pPl/UFD6/lBE+tQ0PPiYuEj5T5g0+oGMWPokIEz5KTjI+qsQ9PqynMj4BKYo+lqeMPvIMIz4NHyA+aKEuPlYnLT7kDBg+M4kSPiFfDj7AiuY92oDZPaHp8T0Gegw+hLYuPjjXKD7CKCE+fGEiPldGMz58FzM+LQssPn8yNT6WLzA+EDsTPmiAAD5ixQM+hs4QPghHGD7S3xo+vgMVPt4iHz6Jsxo+cz0RPgkTGD4EsBQ+tSMnPq+RaD40Zmo+XoNSPof4ND7vQ10+D4NXPnNTAz4ekyQ+9RYdPhJWOj7juzg+9B06PmMoQz7TSf49xRIIPgsrMj6Kfiw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1r9+D3QxRc+tMJUPq3sSj5bGx8+SEcmPu0ZAT5tCuw9/FwMPp8w9j3U7A0+YIQRPmpxIz4yvBQ+zigcPqDACT6koDA+/ZdLPmqmMD4yQUM+w/F8PqkKST4b3ho+7EcKPi0jEz4JAhA+wWYJPq5NCD5ntuI9RFHTPck1zT06aOI93NoQPqqFMj6/jRQ+KhgXPjbGLz74ZEU+gpcnPlUoGj4GyBI+o7YLPmMuDT7x0g8+TkcOPpnoED6GZh8+Np0sPog3ND55eiw+XpswPsE3Jj71xUA+gPRzPjw5mz7qT38+jnFHPuGAKj7/eTQ+5GovPjpx+j3vMyE+2wQtPvM3KT6NGFU+lBA9PoTgIz48qA4+G4QqPpoQIj6vOCg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwsIDT5OYx4+/vMUPha5Gz4rkhg+iJARPoAnEj6Blxs+DoEePnUWFz4KKfw9tqgEPoUcGj5PlA8+6xgPPi98ED7XNu097DABPhR1HD4vliI/WqqNP1Nfaz7qKBo+b/wTPhW69D10YN49P2LKPYKN5D2Nw+w9CHwNPgt2DT4PVMk9VKUJPjVPND5dLxo+xQctPiFINj7MrC0+KBIpPuTqJD6jTCA+nwUcPmYZED7/5RY+HusRPqWnGD76TjM+kh1APoNVMz4B7Co+KWk1Pi3DPj4scJg+6TF8Psq6jj5BOJA+/lFDPiS2SD7twD8+P8chPtcnCj5iXgI+pxg2PsCndT7pfF8+zWU5PlKWDT7XuBg+9koxPogIRz4YXTI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6FM+zwd5w49chINPSDOID3wwDk9vNo5PeajZz01VYg9UxKPPb4UlT07nZc93VOKPajSWz3FkrM95TfJPR6Ewj002d49PX3sPXF//z1REt8+AG/7Pncg8z3PSvI9v+XtPcLLwD33Wek9+BELPuFKHD7FeRg+8OcJPskCAj7/TQg+kdwZPpMnGz624R0+WR4kPq5wPz6M/i4+3CEjPr6pKj7eyB8+ZZAVPjOXET7M/xA+7yIUPmw9Fj4iZis+kk05PnriHj5O1UM+O3xEPugPMz4AhY0+MyF9PipfRT49/kw+i8o7PsCngT4/WsY+s7BhPhCpBT4ZFwA+ClEPPhI2HT5udzA+NxIsPs38Dz65Vv49jcsYPtd+YD7Hc2s+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH820205XHoCOqAa7jqQYIA7ACp5O8KcxjvOPTk8YxmxO1MTuzsxlwo8rUAWPEE+4zvaC2w801eQPFldqDxoY/w8EBMqPQRjPD1nSBo9JUy4PE4bvDyIsyM9MrEyPfV0Nz2jjZE9kq+XPb3KmT0taaI9T0iwPWtPwD15jdY9f6PmPcG48j1lbgk+aioJPpebCz7fWxU+TvIaPkT4IT6MiQw+wBgDPjWz/D1XOvw9bOX6PZszBD57xBw+RTM4PmyaEj5ilE0+VuZGPg14Wj5hUoA+X0Y2PtDfGT5/VEA+w05BPlB8Jz55H1c+39mKPp6+JD67Dg8+QYAIPg83AT4iKQA+FjICPrVWCD4X8xI+sX4uPmz0Nz7ikDc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AZqgOcVVxjkQBOs6jmj9OhHCCDs1PYw7YfdXO0S2xTtYjnc7VQtWO0Hj3jt51UA8xdwtPPDcbzwZWls8A/N1PF6Kjzxnnrg8H0HNPKId7jxr0Rg9POY/PaWpWj0nEng9LZWIPbXdoD11VpE9jMGIPVGnjz3v6Z898dqwPbHLvD0RVOM9Od0HPl4cAT67AgI+/ZYtPpJ/Nj4hL0w+WnI5PlfMMj7M+gA+0tn0PSiBEj6oa5M+L23EPqT4Jj6YTRA+jzgDPtRgBD6yjQA+r4oFPjL0DT5/AR4+YP4tPvpGKT7nKic+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8M5kE6tdQ0Opa8Azux5IQ77q5bO1aYmztadgc8cro5OyRxZjvhV/g7qO5GPFQSOTwpIMk7kvPoOyCyLzxMwBw8AXFgPA/2ezw1zJw8Os7mPFeVBT1tIRw9xsdKPSOEbj2LX6Q9Lwe3PUxHlD0FJJ09obOLPUv04j0LpD0+xbEdPl6d1z36gdo97KfXPa+V3z0DxN097rDkPR/L9D2EEgI+JjwcPsO5Kz72u2Y+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH82PpA6CKuMOn3yczoWWDU68lPuOgW91Dutj+M7l9EJPIDKODxW8lc8OqPyO6A+CTzNjoA81YOMPKxNoTyRIuU87mfXPLhovTy+WtI85sHxPHbIEz2l2yo9AaR8PeSVmD3B5us9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8GeIzr4tvs68EBdO9XsTjs3V9w6FVBaOxJkrju2Org7AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/Ux6M51MejOQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf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AfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9UpDQ9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/t/NzPYZGUj0aF0Y94E9NPcycVD1jvUQ9dQMwPYtDQD2eW1A9w8xvPRu0dD3GiXM9E4hGPYsGKz0oTDY9IpRHPeNkRD1q+0I9lWF7PWHkVz31mFI9dPlTPQkQPz14IDo93gVYPalQWj38MFY9j09TPS+7aT1x8lY9GT5XPehRaD2xOl49nYpFPSZEQj2lrlA95xhMPV2yUz1sZm0983pYPTVaPD3rIUA9wb1YPfqoXz3W/lI90hAhPfQZJT1ZDS49REI1Pea+RD1Og3A9xWdiPU8NQj3bXTI9ydscPWQNJT2J+DM9IO4vPcQ/Qj0Sl1M9pA9YPVSpaj2mhXE9JWRgPeaOQj1M5DM9grBIPSqAXT1NQFA9a+Y5PRqsVT3AbmQ9GE5zPZMLcD3HpVs9ZJ5TPTS0TT0FgD89q7ArPZUCMj0Fd049fWVXPdpxQj2QQh09AAQ5PeK+PD3LUDI9e1MsPSlqKT16riA9aJUsPXyaMD3etj49tzYzPTQkMz3g20k9tm5pPReGVD3dvz89+YFyPUaCbD34P3I9KAB4PeFkVT0MoS0900QvPdzMGD3vXBs9IM4fPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6aCoD0z8UY9WnQ6PbSiOj3syzs9ByI5PQFpQz0It0U9H2hbPXvKaj2Xd0k9h548PV5dPj1RSUA9Xfs7PY1GNT3V1y49ZOYsPRxMPD3kbj89eXpFPRJjUj1uYE09QYxKPVPRSz19clA9na9SPX7hTj0hdUg9Rp9DPR8NQj3amT09XtJAPRvpQD1oxUg9kHddPa3mPD1Hq0A9xR9PPVFRVz0u/2Q9SAZePRXjYT1GcV49HHE8PQUUFD2bkxk9e2M2PZ0jPD3Ixz09pWtLPWDzWz1ZMEs9RU4tPaVGID0S1SQ9Nm0yPQm2Nj23NUI9BjxQPbBxYT3KwWs99AllPbeRUT3TAEE91GU4PXGlST1xklE9TpVHPaMZOj0dJU89ial1PSvPcz32+2893/1QPQ2QRD07ED091Kw6PU0mMD1k3TY9wGFLPTH6Uj2eyEE9u1woPdTuPT2aQT89/6cxPZRuKD2fySY9qRclPXvDMD0mVTw9o8JNPbR2Oz0Tgzk9UVRKPX4nZD3Aw1E9WqVHPcmJcz1atWU9CGZhPYIMWD1aSUc90DgpPSwxKz1V0B89do8cPd90GT0gzSQ9PWctPdOjPz00G0Q9FwlPPULwXD0LBWM9iLRZPd+fNz3AmkU9QipjPbibTj1quig9YkEUPQ0sKD2aAzQ9nZs/PYdeNj0UDks9Py9DPdpsND2ENTg9JV0zPU7OMT0FMTw9BEM9PU0MUj0pDlc9qqdNPURDSD3gfks9mQJBPRE9Kz1kZEU9keZZPeQbYT1AUls9g1xYPenYYD1r21Y9YFlkPZwIWD3zQEc9QNBFPX3vTD0Dy1U9mkldPXj7bz3LP1c9fqtQPQEYRD12gFs9cr11PcJCTT3eQkI9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+MmWg9z8g8PcFhQz0j40k9izc+PY9IOz2ztz09Zfs8PZY1PD019z89tAdDPUUsRD2BLUY9dho7PST3Oj3fTT49E6NGPdYyVT2ZHVc9g0FTPWOfST3lkUQ9LFZJPe+8TD0mxE09U4tOPa01Qz03qz89TqZFPSVfUz1AalY9PNdSPZdHPz3XszI9r6JEPbNfSj1fljs9WWZEPUUyUz0Rik09u5xIPWHsRj1zGUc99+U8PUuLMj3+Gys9VV4xPelrQD0PyEU97IxBPXwcQT34mUY9n2FEPURuOD1EWzU9N40zPYvuNz0R50w9y2xjPWk+dz3zhW49etxJPQ5hOz0+pjE9biFCPXZUQj1mv0E9eVVAPYC5QD18uEA9ob83PdekYj0gwXE9t9VuPTirWD3/t089oXw/PYF7VD2dRU89npk7PbyJNj018zE9PnMxPcuoMD0iwiY9JWcwPb8SJz0rdzE9InI3Pbn/Sj2HL0k9qC9QPYVwWz3qrVI9V8lWPXv7Wz2W5l49NR1TPajfSj1+j0c9Fsg6PY90ND3ydi09uYE1PbPRMj3iKDU9SnUjPT/oGj03qxw9lnAtPUUJMz1BskQ9EItRPcaiXj0wNlk9JpxSPaxCUT3X9Ts9uWtBPe8oUD1WS0k9vWE7PdMgNz1sFT49uv1GPXC4Pz2f+jM9F5A3PZG3PT2jkEs9sJNZPbpYVD0wO0Q9sb5DPdknQT2zpEo9I4hRPeidST0Wo049KnVUPUC6Tz3xj0I9xR5KPQA0WT2/vE89YXZMPUxlSD3vj1c9LvVNPWBQVj388lk9CiVaPd9KWj0TP1k9ObZmPTEfdj07XF89SNBMPa5rSj2bjk09VtdePXYrbz2S+GM9rRJqPRN1Yz3GR2I9aoZgPdIAZD2MaXo96gFnPWqGSj3qYVg90u1UPa/uXj0P54E95iZjPbVsUz1jHFw9JAxZPafVTz1oHE49PghqPZR9ZD2WiWY9Cj1lPZ5vdD21s3M92kBqPWlEVT3wnTc95dUvPWO9Mz0ojkI9GbxMPQj2Lz3NxTY9DphJPeb0Uj3TNVQ9FAlXPaxYaD31Tlg9Y7I+PY/FNz3WzTA9/iM0PdZ/Sj3YLGo91SB3PRGxdz1VFXI9vZtePeGXVj3+0lY9xnFSPV5bUD1dHFE9jHdZPYzQVD3/vEc9dOJFPcr/Sj24hE09uaBfPV/Cdj25nok9iBiIPdBKdz2TTHM9K+JqPWKeTT2VGUM9f49UPYXyUz3l0Es9hG5KPZw8TD0I3Vo92CBaPUDGST1HRkI9ZoI5PUXdND0izkU9ttBWPYueOT027To9+K01PSGHJD2OKgc9wHsYPWN9KD1Mzjc9KYJxPYtdmD3JcSU+QwyLPkw9Rj472jQ+m0U7PiuEQj4NgT8+rsc5PmXBMj6fBEI+VelSPtfWUT6KtVM++A9bPkxOSj775Dk+8XZKPjlZKz7PXhY+d7gtPnwgTT6ycIU+N8V9PlAKMD7zZ08+QT5XPj1YLz4GEys+iGw7PiQJST7yqk4+pvJLPjNZOT4IU08+XoJBPmcCLD4daj0+Q0oFPjkAET6XxzQ+FHw1Ph9ONj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/xoaqPW1wTT1c5EY9TVw9PZXtNj110jU9RH40PX+LOz2TeDM9sHhDPUcHXj2qj1c9D3hUPWWkTz0pJ0U9Qno6PS7hNz0nRVA9AyNTPcRYTD2Lokc9TQxRPRMXaD0LI1w9rqc2PZ5PND22yTY9ohVLPWn1TD1g+j097F5BPbAWQj1ptjg9mSUrPc0gND3FPz89z7A5PW3vRj3oZ0c9NZM5PX9hOz0W2yg9CSYePUzvHj05NCI9x9orPc0CKz2+ljI9WAE7PQRNNT2aHSs95k8pPf4oNz3TQFM98xlKPS5kQT3AEj89aFpJPXqoUT3udjY9w14qPXitLz3m+UA9cQdHPXdNRj2H2UA9BdBAPSdrSz0mxFA9v5VSPf1FSD2wMUA9wuxPPdpwTj3hr0U9sKVEPdG9PD1vZzo9bsM8PTtsPD3I7Dc9F8cnPXylJT0zYSs9OxkuPa0dPT3daj89KYo+PcjuPz0yvko9mbxRPQH6ST38KEA9aeJCPduSUT2gRVI9SJRRPWYpUj3eSkk9Bc05PeLENT38ATA9v50oPfZrIj3Q4SY9zWIoPcrFMj3DiUc9siJOPbwiRD3JREE9JYlfPTf2az2gyVg9D+tQPXZCRT0UvEE9sLY6Pd6OMD1gyTQ9WIoyPdsyKz0reTA9iedBPeS+Tj04xV0919pWPbfoSz0QD089boxLPZatQz0XF1E9hbhePSMLYz282Vo91uFLPSzARj2+qks9z15YPeMUYz1ef2A9FlBSPZ/RUT0Hk2Y9FOBdPUpFSD2r/UU9IqRUPS+QXD0dJUY9iiBBPaUoQz0Hbkk9V0dUPauPXj3C9GE9rP1gPTU1aj2rUW89XfJyPU/yfz2Q14A9ajVzPU65ZT1ruGk9mERrPQorbz2ddXg9tlt0PUZwWD317GQ9TEF8PUbKbD35Ul89UE9vPTq1bT0I2Fk9gE1LPUYZUT1XPlI9nc5lPUPdbT1U0WM9MoxwPeYucz1B2nE92x1mPWqTTz3rbEY9Wdo7PW9ZOD38NTU9E8g9PckPPz1wVzw9Q4RAPRc6Vz3fWGE9t9VePbTbRT1uKzo90kowPRgqNz3Kiz09GhI/PauGQz0l6lM9lolYPQRRWj0q6189WIFhPXZLZz0oMlo9yYxCPRaKUj3uTVo9Q7dZPcOdUz1b1Us9dC9SPd25WT0P72Y9HExoPavubD0sfHM9qi13PQH+ez2+F3Y9omZxPWOVaD2CXFI9yT9YPZTqXz0uIlI9iuVPPVsLVj0M4lE94rVXPaVxZD0ZR1k9qtVNPSFuTD2Lr0Y9PFNCPTjwPj1eviI9r40PPejKCz03Wwk9BesOPReOFD2y7gk96i9MPcnvJj4ZAH8+p2GAPhLnXz4ni0o+ALxCPqtIQj5NHUQ+E0k/PjBQMD47yzw+zo5CPljtQD6PIkI+EXNCPuPVRT4Lx0I+YCE6Ph3dRT68GjM+laY7Phv/RT5tIlY+jVFqPtHRUz4ZKDM+eRVEPgjIST6aX0M+w7Q8Pn9vQT7JtUQ+4Ao9PtkNLD6umC4+tfFDPpcwQj7r+TI+sMc1PjWhFD7IMBs+f1QtPt0BKT5NXC4+UOM0PhzMRD7KwkE+z1o7PuQtQD6teUA+3BA9PuQZRT7Ksz0+Ms8xPterRz5MsFE+NLtJPncNOj5uBj0+VAY1Pi7qKD6J3TM+OgY+Ph7COj6dJT8+clRKPuRWTj57ODo+5GktPrT7Mj4vHSw+XVwqPjkrMT599kg+jw0wPs8qMT7r21Y+/f5NPhyqPj50nSM+f6I/PouxOj7R3y0+FE5CPiqLVz4+emk+dtlRPpDUQD4IbDw+f5xNPoWofT6QPoQ+oJ50PvSpQj5TPSk+Xu5JPnKCWz5nOE8+Hbo0Pp5ELD7Gyy8+Jwg1PgPUOT6DlSU+8JgiPqwsIz662yg+x+chPnGPLD7iAy8+I6olPjqBKD7KEjY+dxE5PsuwTj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf5prpT3V2009O0w0PZyGNj2DiUQ9jpg/PZ9NPz1l/Do9OZ8+PX03QT2i8Uo99u1PPXPOTz1XLkg9Ruw1PfiuMD07e0I9KVk+PepdNj09OTc9WPRFPXZsUD0j0Uo9lc9APVaHOD3hWTw930hSPX05Xz187Ek9ltQxPcfULz0Pnzk9vUQ2PaYDND01tCo9TO4tPexdJz0uiSs9GYwoPQwQJz0wiy89QX0qPY99JT2NUyY9t18jPfcFJT2kvyQ95D4jPYeIGj35ux09LvcjPRfkPz31IUo9fu02PTfGMT33+ik92iQwPbcDOT3F6jw9xyonPX5XNT3nbUE9HXVAPfWJQj0DET89KrtCPRXfYD2Mq2k9fZtfPfHoWT0R1lg9glNQPbWVSj2/f0Y9p8A7PevlNj29kjY9bJ84PeHiJD0BaRw9xkEnPQy/LD2TOSk938snPRinNT1u4UU9D1k4PWkLLj1Dvys90QgsPRocLz3BcTc9ufBFPbl1Rj0jnE09aXNQPVWjXz12kXA9yNlbPYS+RT0B2S89KakdPcAIHT2zVx0982soPV3DMT2cW0g9ezZIPSxqQj2pX0M9px1IPYN8Sz2uOEc9sVIzPfCSKT2IIyM9HdgpPYQ1Nz3i5iU9QjUoPZF4MT0jAy895kY0PTomSz3xYmQ9WIB0PXuZZj15Hl89rZdZPbBRTT1SIUc9JvRMPYFRXT3TvVw9gUpYPRsaRD0EJD09M5tQPdxmVj0Fil09hH9hPWFxXz16L2g9aRx0PRT1Yz1mc0w9EztJPQ/cST0d6UQ9B7E6PXXlRz0wxU09d2NYPSH0Vz3G0V099+NqPRwEcD1TDX09x6x3PVhseD3eXXg9zotsPULTWT0jUFI9DdJXPU4vUz1CXVg9BGNiPa8obz1AbGk9tNldPbvSdz0ji349K52EPcYihz1uoGk9usppPVMLXT0GrVw9RUFlPd7laD33FmA9CG5YPWlYYz1t7F49CWtWPRIWVD0MglM9ATZKPfR8QD0ENzs94C82PdTaPT0yTVA90S5OPcUzTT1I0mA9m6tkPUxOTj2lJDI92ME5PSGkPz12W0A9HJY/Pb3hQT3zLzQ9lKctPWZKOj0HEEQ9ZCJHPTn7ST247WA9g3pVPc7HTT1dT1E9vJhgPckQYT2dFV49B41YPdt3Xz1qUWU94wVwPQgGeT04k3o91IR3PUDWaT1/1mc9gmBgPSpYWz0mfmg9wk10PcNeez14ImI9ZFhPPai3UT3wIlw9qOpUPWp2XT1TOHE9JVBgPcU3UT16elE9+eFLPZ0RMz3P9wA986HMPA9dDz35plc9lFmEPfsZOT25ihk9DeIGPXwOHT0CwQs+sNBpPhxChD5FhmA+0lhCPnddRT5fnjs++hA9Pu4fPT5FUjM+f34/PsE9Nj5tLTE+Bg4zPgc1Nz4770E+1yQ7PuF/Nz5Z2D8+5OU+Ps99Nz5b/DY+H2g5PuhROT5w1TY++Ck7PjzbPz5OED0+cF05PlJLOz6h8Tw+XMA1PqppOD4aVjc+wmo2PmY5Nz4C1Tk+/JI7PuHLPj4jBh8+H/giPgTnLz7RQkM+nGBBPmctMT5hZC4+lZo8PscaOj5PQTU+1fMsPpMIPT7mYko+NPRHPijgKD7clSA+TBYkPrzuJj7T7iY+2P0hPvgcED5FYwY+UEIIPjnHED5stBw+rZgkPs6+Mz7+cUs+dnBIPkZQQD64Y0E+k6I7Pol2MT4txi0+ATRFPmXHNT5cUUI+6tNPPilOQz5uo0A+ZZszPraNSj4kSEk+HJU/PgGbIz5BmTQ+NFU+PqTIVj5iU2Q+i2JFPvvDOT5A0Vg+XKVjPv4XbT5FjEY+btJGPopgUz7mWFM+1aRAPgNrPD74czE+qQoyPlBgLj4/7yo+yLE3PnvSNT6dKSs+7JckPrPJKj7ypTI+os4tPsZzHT5OUSU+HiE3PlvgQj6dLkg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+YLBD7lDvM9L3FjPSPOMz2JHDY9JfY9PZU9Rj3oJUM97Es4PS9aRD1vxGI9NFNwPQenWj0Fw2A9Ek1iPa+XWj27ok49qOk8Pb5ZPT2QqlQ9mCxVPeymTD2TKTw9rfc9PT7SRj1aKls9FFZUPZqtTz1vXz09sMo0PdjKLD0e6C09CZwvPQL8Kz0oZiY9XO8bPVqAHj0ziSo9mzAwPbi6LD2wsTQ9gnk/PfugPD1sVjc9hcUoPUtZHz1uIiI9xWAtPRfVMD3Hxyg9qPcpPasCMz3GfjU9f2MfPSKXED1jixw93K4uPYY3QD3mMUM9nG5EPXvvOD0FSVA9zBxXPZHzUj3Psk899hNPPVM/UT2qbVk9YdpaPXH9Rz1BwzU92BMzPbgdMj1TgDM95YMuPZ1dJD0nkio9HzIvPaS4LT1jdyU9yTY2Pb46ND33yyk9aOogPRvdJD1ruzU9M7BDPQxtNT0dUSw9Uf8wPRM5MT26zzA9Oo9BPfETTT3Se009FKNTPS8UYz1D6mQ95vlVPeXCPT3PezQ9JQAyPTmNKj3Uhyg9ceArPbT/NT01QkE9FNhpPeusbj2R2Vs9OhlKPW9XQT2HWEQ9k+guPZS3JT07xyU9L8cmPbmKKz0yTjk9exE/PX4sPD0EuTY9Qqk1PQQMST26zmY9vr5zPWO1Zj2t9Gs9NhZ0PT1fYD11qkg9+4pAPWbVTT1tnlg9EXlEPdEIPz2PRUg9LktKPb0dWD3elWU93iFxPV7wdD18IXY9J15tPRHQaj17yFY9wohGPcqpQj3+40Q9Gss+PeylPD2w90A98KdSPT8yVj2F61k91CxrPbSzcz1BSmk9DFtlPWy9Vz38YlY9AmBUPeYYXT2ismg94M9kPZHgYD3dV2M9OGdoPZOMbz26f3U9DdZrPZ2tYj01DG89D0l7PQ9Zfz1igm89Ri9tPW07cz3sX2o9yelmPQdyZT0442E9CWdRPTRHRz3HEUc9in9JPfnwTT0E42I93C1ePQMaRj1RxjY9wtQ4PSwKOz1jOT897tJDPVUtUj2DSlA9Q7NSPRq3Wj3GG1U9SYRFPUhMRj3v3089daJVPdctQz3AcT09tZ03PfOIQT0+tU09UtVBPY1lRj2do0o9p4FWPUiIaz28hWk9iy1oPbYAZT1Ry1o9QqBXPXm6Uj3r41k9lqxfPWRPbj2deW49gZRoPTgGZD1ENns9kPp7PRbebj0YFFo9oM5kPc83YT3N1089fnc8PS+UNT2t7EQ99WpFPUNzST3Yy049etxJPTFmYz3F+ZM9+03APbG+5j1rsdc9iQGePWtLND1/JZ89+YEZPnZeUz5bYDM+4I3lPaNDrT0d9x0+Cc5RPk34Tz6VJUg+DaFJPmyBPT4aBTo+K6gzPruINz6z6T4+21hCPtXTPj5vmDc+KC8xPp5UPD4ITT8+Py4+PpUHMj5dbzI+qCg4PsoHQz7lZ0E+0ZtAPtC8Pz75Zjg+mO0+PpxkTD5KKTk+QBEuPqqAMT42oTw+B9EyPvG0Kj4UpjM+Eo0tPjtsLj7oXjo+M1M6PjJMMT70EDc+D/Y1PlG3Ij7hDCg+VjpGPnlFSz70ZTk+uTdWPjZ8Uj5S+Us+FEU2PgNhKT5TST0+0xhEPg+kPz7LZy8+46syPgmENT6ZsDE+S3o6PjFmNT4D0S4+sgA2PmGiPT6FCg4+8TMIPs2MHT4lLTc+SNQ1PhgoJz5/4DU+gKZAPrXDRD6ncDc+V+wxPh8zOj7oc0o+kItSPqQbPz6MA0g+69xIPjqSSj4REk0++8FHPgAESj7xZTQ+s6wwPmfyND4A0Vk+y5hcPmL7Pj7Gzj8+D2xDPlodPT7t6kE+nrxhPjREoD5eyZs+kBBdPg/rQT69Yj0+NPUtPhzOMD5RtTU+mWcqPrU/OT5Q8zI+cpAmPk19Hj4hQzE+AogzPgsFMD53Byw+nCkqPsgzNz7o1UM+HK9EPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8vt4Y9vhaEPbqHQj2T8T49SZBMPQpqSz2JB1g9kmdLPS5JTD2vw0k9Zy5PPSdpWD3hGl89gYJmPVItYj1caFE9h/07PZsyNz02ZkY9RWlBPZEpOD14Ujg9T+Y/PVp9Vj2Q1GI9+cVVPUSCPz0NzjE9iUopPeT0MT2FdCk9nFkmPeRhHD3cVhs9KckpPYvHOD2c+T49SKY2PViVOz1FFzo9wVI4Pf1ZOD0Uzjk98JkmPTJGJz2OBzA9GmUxPRZ3KT3fWy09oe4zPYQXLz02fCo9kDcqPW2pLD3rqSg9C1gpPZ8lNz07H1M973pbPfqIVT0JqUs9h4NbPXqoaz2WR3Q9tLtQPen3RD2YsTY9CohHPeBwRz212zg9148kPafYID11fh09oLoiPXspHz1pwSY9UqYvPYjfPD0Ldj49M34/PYMeOT3+oCU9wbQXPdwaID2B5CI9gKUvPcR1PT0CP0c9Gzg9PUd+Qz3YAkc9qNxHPUsTUD27LVM9ralhPeX3VT1Es1E9SbRQPW+mQz0p1zo9IQA9Pba5KT1rgiA997QoPX+QND3KtkE9S81ePauLgj11VWw9BrtOPaj9QD1aZ0E9/Bg1PXSdLj3haS09YCkwPXRKPD1orkY9kKJKPWksWD2KM009NsFDPVWWST38lG09TM6EPdgyej2BimA90X5SPZ2NTT3J/EI93O5EPZMOQD296Es9du5YPQTzUT3dRVA9kyBUPddBWz2zjms9BbxxPQdffz2n+3Y9pSt4PddSXT3xnlU9e1ZVPasRZz3OEV89jvxdPfKPXD2Xj1k9fb9cPVyRVT2lRU89/bFSPaE4Tj3Hr0s9yY5QPfjKWz00ml49Q/tePYDUaz0U/4I9fT6DPUvjbz3VrWw978JhPbzKZT0CDHA9kOt2PfSXbj0OGYc922OOPQahhz2YbIc9ympyPZ61ZT3EA2I9I/dRPb4ETj1UVVA9XJNMPU3jVj1Ws1Y9ZbpYPXhPUD3CK0w9uHVIPR4WOT17iTI9ymQ7PeAyPT3cCDw9JWA+PaG0UT3Polc9Nk1gPdzZZT1r7GQ9sj5jPRLtUT1Z3EI91RQ8PWWVND2EBzc94ys4PbMWOj1wO0I9ang8PWFmOj3YkFA9QW5aPTRNXT0SUWw9XNNqPW5HVz2YsE49JqVbPeNZXj1CDmY9moxkPRP7aT2VUm8916BwPYD5dz3QWXU9F8JwPcxuaT2B61U9b1E7PfW2PT2n8z49HaU8PX2OOz15VTI9F0syPdQiOj0jlj490247PZDdKj3qeHM9AToDPj0kZD7uRHE+phpuPkyiVz64jlM+7HNPPvzNPD65ejQ+Y0swPmRONj5dVTU+nEM6Pol9QT72rzI+alwyPmdQNj6OSik+h9wxPvR6Oz5yOks+aU1rPl2odj7rxlk+VA5BPiuRMT7zNS8+Iu01PhpeNz6S+TM+FXovPsnFJz7TGCs+VFcYPqAEKT7lky0+Lyg6PnWKVj6ou2I+DAdPPmzzZD6bDWg+oQhhPtv0OT6VRx4+Q34nPlWfKz4ruDQ+SeZFPhOBRT71hjs++603PqIYNj4cXxY+R9YfPkaeOT7o5Do+CYI4Pmivcz5tY1E+zhgtPjwtKD7O0CU+gPgmPp+VMz6cCz0+jv9APkxIUj4bXU4+xhtMPjp8Wj6mV0M+nVcyPvoLOj56vTw+T28EPo15GT7G0h4+oT4TPpA/FT7xzPU9TI0pPsfTUj50m0I+U5A6PvLuOz4xADs+yQVIPvWMSD7C7kw+KrVFPsN7RT42Fkg+GlU+PqEYRj7PSUs+3d9LPhFpST7gWUg+m1c3PubMOz7t0jk+31tBPhpIXz7Y8FA+3HBTPm8Oiz6xkL0+uxKWPpgxWj5Q00E+NKE3PiTnMz6qdjo+kR84PlhnLD5EEyg+VtYlPsXlJT584TU+alsxPucYHz53dBU+xisbPkHVHz51Ny4+zCkpPgeBLj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/3lm+PXTpjj0ERVo9XYc/PeZaRj0v4kE9ULM6Pa80RT3oNEQ9JRRCPTRDUj1gO1g9PzliPSPoWD2SxEk9l3s7PTyePT0XzDo9sJsyPQMxRT2XZU49Y9BSPeiXVD0h1zg9RhMsPY7iOT1QHj492ZI9PUPiNz2WzTQ90FhAPSKdLD2yZTM9IfY9PeX1Qj21NUg9VUlAPdqRKD3MfCg9XLwnPcg2IT2Izhw9hyIoPWaZOD26WzY9dEQpPQzDIT21nTs9YwNYPW+sNj2M7yA9AfQiPbqMJj0U2yg98rs2PXBfOz1xmEg9UutIPXU0Qz0aokI9Q5BTPQ4VXz2WL0w9BoIwPfu9JT2fvyQ9SowfPUdvJz0T+Tk9Nc04PUYGKD2jCSg9IdsZPRbFGD1FwBs9jT4jPehRLj2qQDo9Ehc+PXQMRD3uBD89H500PYodKz0cZy89WigtPaaCOD3FRkg98XM8PcQ2Qz1n/mI9ftlhPZUoYj3uVFg99VhIPRReOj065zE9XPUxPURVMD078TE9MDI3PW+gLj0AqzE9pv1EPTgBTj3Jo1U9TlJiPeLXYz1E40k9oU1HPfH+SD04tUg9Q64+PSsFNT0vFD89E35EPT7PRj2RTEY9wIRXPfrHYj1OdGU9aKtmPTzVaD2rmFk92JZcPXw/VD23T109rhNEPX9lKT3X5SQ9zt0lPfpWOD1nhE49lM5cPSA7WT0Ww2E99Vx8PSitgj1No389Rd+EPVHCgT0csGs9E/FbPW+7Wz1bP1s9UPxSPVAsWj0eWGE9PWJPPQfqUz1AEV89NiBfPS2xUz0rRko98PZRPVprXz004mI9/vNhPasQaT2e6Gs9EXVyPayCdD1O3Xo98+mAPfitez34m2U9/vxsPYWlcD0DOXY9etV0PdqlhD3Dv4c9nveDPckBgD1vwHA9TbNfPQzKWj3qTVQ9N0ZKPZeIUD3QFV497+pnPZPRZj1kQl09CDNaPdoZUT2MQTs9eDs1PR1zQj1/YEw9vj5VPQU/WD30oE09lhdFPUedRD3boE09l/tMPRAvTD0PAUg9SEg9PU2qOj0PVjo9uaY/PZKFRD0RQUc9iwtNPWQzSz17iEw907NSPdpnVD3Kklo9fj9kPanRYT2Qx2A9D75dPeN3Wj0cRFA9Gw1RPSmuWz0n3Wc9I+plPWJkWD3KSlg9putvPasrdD2Vrns9pRJ7PV1taz0XP1U9B0egPab8wD1pzzo9wsQzPVrTMj0V1jY97cImPSLwKT1dOi89EywwPbWuJz1RURs9wpIWPSMJJT13rFY9QNTFPVX0Ej6GdGw+IzV4Ph19Pz56xCY+ABIgPhJhHj6nGiI+M98tPqLYLT6AoC4+6/4tPgN/Mj5kUDk+lhg7Po1aRz5Byz0+bBtgPvy4hj6J8Is+yaB6PhW/XT4Dxzk+u+U8PoLTNT5ZSzA+tZQ0Pq4iMz44MSo+OXssPqAjMz5mv2Y+sStfPjzCTz64eYs+/ch1Pi2VjD67K4g+1p+APsZlTz49zUE+jE4vPrpxMj6d+z8+bmBPPvD0Xz6djVE+bAFCPpe5RD6hhz4+w+c8Pqy7RD4v3Ek+G7NFPoWYST7brEQ+mTY6PkmGMT4PoD8+y39BPkVcNj73ujw+B3A5PozVOz4eY0A+5dlBPgmGLD6x+Ek+vEBPPmyOPz5e20U+grJKPmpuOj7g4yU+DEoRPiYiFD4sSxg+olwJPo5yEz5IVyo+nUsfPmwBID7uICA+oGgfPr6UPT63nDo+NAM6Ps9sSz7hWUE+Ar81PmhrRz4BEGM+7StMPp58PT6x8S4+j0NJPhlTTj5n8kc+iYAnPpNmPT5quWE+5+w+PmmNOz7BnFI+d0Z6PiUUbT6FR08+ZSZOPiE4bz5P05M+OXGMPuz4Vz5kfDo+6pJiPihPZz4EZlU+LT87Pm2PLD7PbjE+/88zPnmlET6a/BI+AbotPk0MNj6LIS0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6T0wj0DzpI9i6GEPfmXRD0jqUM9HK89PSRKTj3FtV49sO5fPebHZj3wRFY9QEBCPXoaTz3RQ0k9tSg9PaqJQj2n31A94itQPfsJQz1vNEw9Rc4/PU+KND1t5DA9MgowPdJnKz3qBi09B+9DPe1gTD30IT89zkEwPc/JIj3nLhw9ZkI2PchrTD2TX0Q9LN4qPafPKj2eTCY9OR4mPeMBJj367CM9n8ApPb+dGD1afBw9srgePSyQNT3XD0M9RlRCPfrDID1Schg9c48fPUIKKD3uFCg9Q+onPQGwPz2EAEA9/lM8PRd3Qj1zPTY9TuIxPWdWLz14nCY9Xj4lPRr0KD1rKCk9eWcxPbDXOT3TQjE9seEsPQ82JT1EWyc9P5cXPa7hFj1xBBo9hcEZPSGIMz1zmkY9LSFNPU5bVD3GUFE9ecBKPczxSD218UU9c65GPVGZTD2b8UY9wUo+PTh9UD0hllc9/7tOPXvmSz3chlQ96lBUPQywRD2b8Cs9SkYxPWVnRj0cjFI9uKhWPfdETD15Uz497eFLPbolTD2grEs9iABPPangXD1Mclg9wPlJPeUSQz3qh0g9tJBKPV9GPT3hzTg9S+1KPdc/TT1Pb1g9VihuPVaOgj2mKo49mRp6Pc/aWj3j1VU9TEZOPR8BSz3Za0o92P1DPZM0Sj15cks9ad8/PUJTPj36+EE9RtVOPXQwcz1dY3o9fNtsPXfZgj2ZKoU90P+DPeWOcT1arVQ94IxEPcUcST1xu0g9ZUBFPRT2RD1wEEA9k9ZBPToKRj1+OVM9zm5WPUgXXD0BsWE9jzZaPbypbj3HdHU9tVlxPUN1bz3GtG494iR1PUnsaT1DfVo9HWBXPeTzVz3+Q1w9nd1iPR1TcT3rbnQ9irZyPfOpdT1AeWY9MvZRPZBUPD1YiUI9RiBIPdu6ST0GfE49gppYPUtQaT3Al2M9/SVkPYQfYT0rXlA9+eJEPY7WTz1i81Q9hJhbPQw7UT2KUUw9+qRbPejfXT3EO1g9eKJPPTr4SD0Y50g9PQ1MPci5ST0InDY9OhErPRsnMT17cTk9Bd5LPeCKWT3eKV49t5VRPVzsSD1zFFE9lEhSPR6kVj0InV09hiFYPWDqST3r2kM93L5QPVHLXj1cIlc9NZ1TPRI9Vz0qJVg9j99OPUYtUz1cvGU9Etd6PV3Tgj3GeHk9rEluPa7LXD2K9EI97IQ5PVjkPj3upDs9u7gwPcBAJz2v9S49SWcyPZacRD3lGz09T0snPVscIT3p3SI97TgkPdPqID1iZDk9NpvlPZMcaj6Upoc+RrduPgQkPj6tZy8+n9EnPtrVIT78dCE+0Y8iPpwYHz6tkCI+lvwpPkmLMT4bY0I+/Q9JPhWXbj6iA1Q+n1IvPnGHTj7PCWQ+QMhgPrs/dz7SVX8+Xc6FPikjjT5yXlk+um03Pvb1NT6iFTc+lx1CPpDfQD5vFS8+DQ8gPg4jIT7qWjg+gopTPnp2hz4Fl5I+GJSRPqbudD68RX0+rrJnPsvtMj4T2Fo+nlNaPhGqUz4XhWE+KcNiPkiOUD6CiEE+3XYtPq4lPT6aJDU+9wk2PjapTT5j33I+QlR3Puhsfz59Hoc+SG+LPnAvhj5oyDs+6L5DPio1Qz6nbDg+ihE/PkBQTT4maEQ+1yUuPnM+VD7hOHI+kFFlPrxLSz4iR0k+NHRFPjNVOD5IVRg+XQsKPsGyHT4pZjk+uos4PmzkKj7CZx8+WM4fPkw+ID7Hcio+Rik6PtXvaz63gE8+U1ErPsdpGD5kDSE+QMSDPtcIXD7dh0o+sgE+PoNZUz41ZFU+/mFMPoBEPz7f6kE+Mw89PnqwND7RWjQ+uiE5PvmTPT7LDjg+ChM7Ph6ZWD4hAlo+h/5XPh7SVj4lNlw+bjdIPuQEWj7C114+VFByPgsCfz7Q8Vg+x/JJPu9nTD6LMC0++WYjPqKDJj7DozE+EmY0PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8tMb49xGmHPQOjaD3D+j89tTJLPXhiTD2oY1M9jzJOPc1xWz1Y9Fw99w9VPT9cRj2+okc9Mps9PWLUQj2dwkk94exQPRvoRD0N5Tk96Is2PVtGQD2FtzM9pIU1PbHfSj2so009q6w8Pa4tNj0gsC496WQqPSHJNj1ZMj89LyU4PcwZOT2YVjY9/j0wPeL2Kj3fDEM9YfoyPZl9Jz1OAyc9BfYoPWK+GD1VBhg9zc0sPdAANz1YokI9ktk8PQTDNj1+ZBg9IRIcPU64MT3W9DQ9tnksPZgzKj0K0Sk9//InPd+KLD0cDCs9eBkTPYr7Gj2TfR49UfshPdKGGz0enhw9+Q4iPSCTJz2y0iw9dDs2PUGWOT2s4CY9ZCEVPZnBEj3ZHxo9Y8IfPeKKMT1H2EQ9CYBIPYOsSz1B/0s91gpTPZxUXD16Akw9XIQ7PWVNPj3o7TI9BoU2PfbnOj1qGUs9cxlBPY0YLj1pE049QWpZPa7IUj0YXkE9oIlDPdtLTj1QNlQ9nJZUPezDVD0HV0E9Ruw2PQAKRj0GU1U9El9pPY2TbT2czlw9ijVQPbLcOT3USTQ9eHtLPa36WT2TqV49dKFdPZpKWT2orUk9q5NWPSyxZD2c4mc9YZNcPXk4SD1ExEc9sPNNPUmeZD3MW2s94TJoPVtPYT0hgFk98jZVPf7MUD01Elw91v1ePdmObT0smHY9toZhPTfoXj0Qy3M9nPdvPdsLVD0UnkE9zMUyPfwSPT0jtkY9s/pCPeATRj3OzkU9Y8I7PWGgPT0ZxFA9mWRSPaFdWz3vpG89Ta1vPawVcT08Xn09ioNwPW3+Xj22ZWE9sbhZPdOSVz1E5189b9pZPR+VWT3SOWA9BgxzPdSqgT1JRHI9IWViPRewVT3vVlI9EF1SPRlAUT0zF1c9OztRPaZEVz3/9ls9iVplPeKNZD01LlM9kXJLPRI1Wj2QPmI9eb5nPemNaT2no3o9CFWAPavRdD05HWg9AABnPYGddz1h2Go9BE53PRCbYj2LUFE9c8RUPXvLQz2oGj09q31GPdCuSz0K7lM9nHlXPWTjWD0AF149IGFSPT2rQT0qOkM9E/pUPcUJXD2npWE9etZuPSs3aT0zQWQ9L6dZPYhMWj2IEVo9lV5UPTCUUT2qnlc9NUpYPbFFSz232k09XcVRPSeLUj0cUFQ9+zJFPaiyMD3Vyyw9Ag4mPddMKj1pYzM9dcsxPQBlKj1vOyo9GK81PXAKUD12mH09VapAPanFOD3nFzA9BfsxPX3pNz2I2zc9PD9bPTi7Cj6M+3Q+ONV5PoLOSj7Mwy0+6gUqPr8nHj4A0CU+VeErPj79LT79ViU+yskjPnKVLT7BYEU+BhBMPqn2Sj7QE14+2j5cPr0IQj6AnC0+hzZEPrCLij4kSZI+v62JPn85hj419nE+jO9LPlrjSz4hUEo+2hU4PnAlMT76Bjg+Y3w4PtL9Mj4Z7Dk+7MU4Pn5oRT5+kUk+8bFdPimlYz7uK1w+yJ5ZPsHPTD44ckw+oMJfPjQUVD7BGV8+9VxnPpc3cT7/BHQ+ET1JPtgpRj43Kj8+YrI0PjaeTj477n0+O+FyPngqbD4SwHM+gBtyPifycT4Adnc+wvZLPr6bQj6pxFA+EohVPgLMVz5rcVc+M6FfPoLjRT6Jm1Q+8rB3Pk7pfD7ppE4+7fg9PvMRQj4wZjQ+UmNIPgrdWT6eGFo+znRKPlasQz4lW0o+SJNHPn/SQT62GUI+0t49PrnWJz4qk1E+JDtMPrQQMT748xw+PaQnPvf2cT5UZ1s+SPFEPqu1ST5QEzk+cEc0Ps8lMj7z7EI+y5g/PlPVMz56Zj0+NfAzPi/GMj6Xgiw+g3szPsEXPT77KVk+hJZFPmfCPj53+jo+zE1IPjvYND5dVyY+kIBAPgLOQj49aDw+5oAuPrIUMD4MOS4+r904PoHCWj6xwVY+bIk2PgVaKD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/cT6zPdJKfz0iEUA93PZDPSvqRj0gqkI9so5APQ6iQz3/80s9o+9SPQELTD14QD09Np42PUmnMT1iaDY93ho3PY8RNj1J7Dk9wUFEPSnmQj1/01U977xVPQKiVD0WClU9/MU/PTARLj1PqDo9ck0vPRx6IT2HgDY92BlOPXvVOj3pGTI9oBpCPddERz2sEU49k1U7PeURMD0ZBCs9E/UsPSzlIj3+Ixw9rPQWPbDxPT2Bv0E98yI8PePaMz25QjA9HEAvPcX4Kz3QfS49CawsPYaaMz3p6zU9b5U5Pf8qPT0OtDI9fREfPf4tEj0SLBA9M40UPXTkJT2enB09qkMfPRpnLD29rT49+4hBPfGSQT138EA9y942PYE9Iz3FsSU9D7k0PZRcMj264TI9z607PTfDRj0AwE493ERVPWQXUD3WyTw9+icpPW6CJj2IeS89RdonPexdLz0oXjk9j3dOPZqyVT0os009+6RWPZ2TVD2lj089AvlAPc2CSD2y/0s9Wy5QPfOOQz3wpjw9B8RFPQUSUT1BylQ9belZPdViaD0njWc92y1ZPTi4WD1otVs9WdlYPRkdXj0Ml2I9S3JiPZcCZj0+nFA9wWhKPZiXXD1/4WQ92SJkPXh/XD12lFY9NfhlPXVEfD0iRn09Z+lgPR1QUT0US1U9HyVkPTNKZD1RoV89xEhePd+8Xz1W02s9YSZtPYF+WT3fR1c9ueVSPZrxTD2+0kQ9csFEPfQqVz1MjV49DcdKPaAMPj3NmEA9H6VAPejsOD16sEM9C4RnPUhXaD2cp3U9ldp2Pe8cdD0uFGs9FGNaPdLcTz3SZE89sNFVPSnfVj3Cu1I9r6FkPQcJZj2vOmw9LPFuPSTOej20UoI9ACdiPSiHTD3vVlg9taJbPfuCVj01DV49tBttPdDaYD04b2U9h4lsPY5ubD3wTXk9SAh9PXChaz2kFGg98i6DPX06iT1HSYw9cm6JPdaGiD2zwIU9GAaFPYN4gT3p+3k9H+dpPXlZbT02tWQ93apBPQiVOT3l3Dk97o0+PaxQUD1s+FE9kzNPPYAMXz1fx149IT5PPc2BQj0xpUI9nd9UPX63bz2hDX89O0t9PUKudj3dpW897zZePXcoUj0RpFE9wNlSPeAGUj3SFFA9HxdLPWZwTD195Uc9ybhFPTFbRj1xikI9O8o1Pe5eLz2XVyU93qIrPcW2Mz3cVz89eXpIPajnPT00MiY9fRg3PY26RD2ec0g9+F1EPTujOz3eI0A9oiE1PYb5Lj2ZEDo9vtZTPcCF1T2qGEQ+lxZWPlBmPT7PvS4+/+EpPlOdKT4/ZRs+cp4dPu0ILD51+y0+43UoPk4BJj48/Dg+y+NPPkd/Pz7txzM+HR9JPmC2Wj5dyWc+bFNYPuaPSj6E820++cl0PpIPgj57zoU+Bq1MPm+NSD5U11o+1LpePiusUj6WVz8++TQ/Pq2XLD6DzhY+rO0+PmQVSj5bkl0+YvdYPmBaWj5c8E8+9os8PlAHRj4do1c+1kVIPp+mTz6brVc+KM1TPmwLSz7vJ0o+VS1XPsXSWD7zqEs+hWJLPufvUz5hklg+rpppPoksgT4Dy38+10puPlM+XT6ApmU+QbBoPiiASD71NDo+IMNPPrvTXT7Pz1w+K29XPv6YWD4tl00+dVFHPjSVST4MRkw+3q1FPl/WSD743Tg+TW42PggzUj5N91s+4MZbPtMiPj5jhzI+8EQ3PuqLLj6uCzU+9y07PvJ5Oz5xMBs+qvAdPqNvTD4Ws0g+fuw1PrTNMj7CaDo+elpYPnxjST6czSc+GZQAPmIsCT7o7hc+aaQZPqSqJT4Ja0A+wBlQPmwpVD6o+UU+gEYlPiUZNT5rmjU+2Ig1PvZQOz6xbkI+DmhIPjOmQz676B0+psI0PkCGSj44AzM+3vsxPttTNj57dkA+yrU2PqAYST4gnVE+Y/RAPquwKj7iHyY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1XfwD3BY4o9enU+PanvQD1JsEA9Q/NEPcEZPz3sWkU9omdFPXTTUT0i/Vo99mJLPQ06Nz1nuzQ9RlE6PX35NT2vazI96K86PfgcUD1kskg9fj9DPcwlPz0EKj497J09PbapPz2yV0k9R91NPYiURj2IBEg9tONGPdxFVj2SoFI9KL5DPbqARj2gYj09U2c6PcOrMD1cZS49qfIxPaCPMz0yeyk93HQpPdiiMj0lpDk9EC41PWV9Mz2WZSg9FfYjPQDzJD0a1SY9DdEqPZNqNT1kOjk95k45PXegOj3tXz490fwnPedbFj20chQ9ussmPecEKD14SSY9o7YsPRkzND0RKDw95R9EPQq2UD0cT1U9ZVJePX7TUT1/WTg9i3E0Pf/iOD2Xqjw9CDpFPSzKQz0TQUI97xxJPW4dMT2GiCc9cl0qPaZFKj0rRyk9SYU1Pf+7ND0/wD09/zk/PTdgUj05D1w91kZaPYnuXj0/BVo9mbZZPSZyUD3oo0A9F9xKPcXOSD2OiUc9+WREPb6yVD2ccVM96D5VPa87aT09AHI9U3BwPZ4sbz3z2XE9k6NvPW24fT30X3U9neBWPe7YTT0rMEc9Ey1HPfZXVT1AqG89+9eJPYEAhz0lYH89aSBvPdiraT1Bk289v4FbPRlHQD3rVD89hztNPaHWSD0rG0o9bTlSPd+NVj32X1I97OJXPWmmTD3DsEA9AhNBPVJ5Qj0Ko0Y9iKBHPfErSz1rU1g99GFfPbHHQj206D89hohKPbhZRz3FzUA9WAY6PeKkQz0ell89MOhsPU6vXD3HyUE9axlJPRjBUD3+fGI9khtxPblrdj0hRHM9RhhdPW8CZT35L2Y9aixoPeWaYD3U3l49xZViPfJBUz2VnVs9GOpePTRIYD0x+109eC5tPQQteD1wnGY9EylnPUW6ZT0q8Wg9/DOCPU/ZhD2HX349NBN7PZKGjT1pIJU93gKaPZmHhj38B449KQiJPbsogz1UK4A9xYGAPei4hj247YM9yxd2PTnIXj3OSz49tJE7PRu5Sj1QGlQ9T0BHPUo+ST1Phks91jtHPXLXQz0/wEg9LxdWPadJVz3nK2c9j4NxPdNxaz2z2F09I75TPYfWQz044D49gv9EPQ1tSj2e+0s9MqVPPXsYRj1ncTE9dCk7PbNePD0Kfzg9SVsxPTFILj1FHDo98iJBPQKuRT38JUk9gNJOPY2qTj38O0g9t8kmPQ+2MT15Lz89hQY6PZ9yQD3321I9bCM7PXktIj3ZHRs9JwU1PRvxgz1HPy4+xdBePpBjPD7fdCk+9V0lPs2gKT7/zis+bUYaPqLKFT5cgR4+f/0kPmgWLD6UdS0+j+g7PvAZZT7gGWY+jcJPPuZyTT4b3Vo+it5fPjSIUD6HqUQ+lENGPnRtRT7Yg0c+kyVXPjS3Rj4mwU8+8+pMPncwVD711VE+OiJIPp/nRT7wYzo+DBtEPlktUz4d7Uw+o9BDPgatVT50DGo+MJdaPtDBRD7uVVc+cUJdPq0aUT6LvVo+ewxPPqKgPD45ZTU++X4zPgQYOz6PBEE+O78/PvREQz4UG00+iExBPomUTD5yyUQ+AIdOPh8UQj4qkVI+q7xzPgE7dz6yw00+utVHPluSYj7Sl1k+ZyNJPs/fPD4r1Dk+kjtIPjj2Sz7Fo0I+jWZNPvPTUz4mhlY+16dKPjSIQj5Ol08+BHhePtQiXD4pa0Y+/hw1PuIiOj5Clz4+DDk4PidVPT6gfUg+UZBLPnIyJz5WBCs+q0dEPqjyQD44BD4+BKg6PuWjSz4OUkU+U3wdPlOmDz5UYi0+3ecyPopwLz7few0+SogzPqFpRD4Nzjg+yRM6Ph0DMT6fYzY+MzoxPuUKIT46tUk+hzVYPteuQT7gQyU+pDIkPvUlMz7Loy8+Gh45PmwOOD6JJ0E+mWhOPmUoQz49ZDA+gpEwPgyYND42DS0+Z0QwPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+/ce09/U6bPW9ZOD1O10Q9EtxMPeEeWT2F1Fk9lQdFPWirQj1kjzc9Lcw3PXa+MT2/pDc9e7tIPd71Qz24JD49330yPUfyPT3rbzc9d8ApPUXmKD3SQz89HeRHPcHOQz0Tkkg91GJRPZ+ETD2oNE49W7xePedJZj2bIGc9TJFlPbWwXj0DHEI9+Oc0PSczNz3p3jc9hcMqPZNBNT27jz89dXUoPaB4Fj0YphY99FMfPeUnDz2jBQM9GdgMPb7LIj3MTCY9INUlPQeFND1WpU49hOY3Pcw5KT1t6CY9VmEhPUViHD1gjyU9/BovPbFdPT20R0I9DmVFPXDgRT1RZ0M9wAREPdPEQz3i2EA9io9CPYtTRj3b3Es91n41Pb+cPj2SuUQ9YvM1PT7sND1FPjc9xYhDPdKnQD17CyY9pNUnPYgaLj2EjzA9Z4c1PR2jUT2G5nc9C7N7PbOibz0D+0495hpAPTDRQD03wDQ9fQ0wPYatMj1IAjM9rhQuPYtXLz2cSTU96RBHPaW7RT0d90M9gLFJPcd6YD05X2Q9CH5gPYw2az3uxnA9XodyPSRnbD3ixW09/xtfPcn9Tj3EqE49i9FPPZP9Yj1Kfns9gOh3PUz+jD2mZn89SChyPWDYUD0aVkc92Eo6PfrBNT3Kczo9atk4PSUtRT1VG0o9fR0+PdjaQT0f9kI9FAA6PfY0OD2iOjA9ViorPYw7PD0yMkk9WaBBPTaCRz2FulQ9A6xWPYHFTz2EFEI98IQ6PSD8Qz0poUs9BINXPSZIWz3ERks9aQFCPYNART3/iUM9BHxAPWiNSD2mZFg9wyxkPbA1ZT1nW2A9mrJdPUsyYj0kZGE9g3xhPdFDVT151Uk97mxIPRz+RD3X3V89qlRwPZhibj2unnM9Fg55PeoXZD2oqHQ9f3t1PfXWfD0VXoE9HU6CPSWnhj0z8IM9FTyFPecrfT1X6nQ9fB11Pahdgz04BXg9jaZ2PRuJbD2zFH49U8eKPfb/iz3M5YQ9liJnPf6yaj2Lgmc9pwFbPWfZSD1Myk09+ehWPSOYUz2ThUc9wCxNPeZ6Uj3uQ1I9EOhVPQ40XD2idWE9HLdfPZUBPz2s6zg99ZsyPTOJPD1ewT49HSYtPRG+MT1hyy895XonPQgEHz3lJiE96gEtPbrCNj1dHjg9uU06PaJYPj0tYEc9cfNLPezSSj2Zp0s9dypQPaARSz0z3yk9sQ8kPYf6Lz2vMDY9rf80PZoOQT1cS0M9rkYtPShWGD1lEww9ad4bPaN+Kz0eBwQ+UHhqPpexPj4nxCI+DUsbPuzMGj7ckCU+8Y4nPvHoJD7r4SQ+uFIlPqLBNj7NUj0+Aw5PPnaaUD5tIoQ+q1d9Puh2Vz5RZlM+Zb9gPrOkZz7DDVE+EG84Pm2OET4bzig+6iM8PjujYj55poA+HKCKPn0BWT7SWT4+dN5APvSCQD4EdD0+EFg/Pv4ZPz7rnkA+29FFPt6PRz51Bk8+Vy9BPpCHQD5b6VA+pwJRPtcWUT43k0o+5NJbPmY6dT40ymo+gvVIPliWPD6qPjM++AkqPkHWPT4ziTk+mFBAPvfHTD4JnFc+7slNPntFMj7LWTc+M/I4PrIQRD7NPEE+N6U5Pp/IPT5ioko+4KVOPpKLPD7ETzg+4Y84Pj5MRD6TnkU+P4s6PlBDRD61ZE4+WsuBPjL8WD458D8+NscwPoxJND4M5zc+b+A4PgDXPD6MmUE+3CFGPmPMLj5pnzk+xw9CPlrVWT7muEA+AGE9PhDGIz4SvRw+1MYkPqCMIj4jMBg+OOMRPpO9AD6N0g4+1hkyPrEmNT4dSjw+XAYjPhkSID4Tgyg+hHNBPv7AUD48JEA+Ick1PgBGMz5mhSw+BaQhPuSrLz6GQTg+2rI4Pm1kKj7y6C0+ZDswPrEgOj4lk0U+3zxYPuM+TT62nSg+yNwYPutEHj4J4yI+rZ4VPjsaOD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/JWgcPlusvj23BEg9r7dPPc9+VD0weE897EBEPUcxNj0UkDs9R6Q7PaVgOj1SRTY9p/9DPbsHRz1DVzs9HkguPYkSKD39aDo9Sfc5PWbPMT3+hjI9ktRPPfd0Vj0YdkY9Tj9LPVl5VT22cFM9rD1SPcryTD0QlU49ynhYPYr6Tz2CmT89/Jw3PejIMj1i2Dk9vX89Pe28Oj3mhkk9L55QPeNcPj2YJiU9uqAgPa4fGz0QBhI98+0LPQuGGz0nNx097fYqPWrMPz2NcFA951c8PUIJKj16liQ97P8iPb62JT2pais9JFAvPZX1PD2rfUk9JgA6PdgQNz109Sw9KzYqPQrbNj0BZj49sI1GPbTAPD07+0w9EttMPaB/ND27iyw9jv41Pf9xID34byU9x1cuPQhhIj1b2ig9Abk0PR90RT0sfj89fpxQPU4YYz21vkU9GStRPeMQRD24djo9/kY8PWHMMj32Ais9xHU2PdH4Pz0DcDc94/g5PQRLMz0RpD09EihQPVozST2q+0U9DwNEPVbrYT3yaHc9mph4PVCLYT0MGVo9/81dPbz0UD3B7k89myZiPajsZD0vIGY9b2p7PdODgD0NP3s9UgtaPSzyXT2IFF49AA5PPcLvSj33fkg98O86PWIzMz0TjSk90WAyPQJMPT12iUE9i5JPPUmEVz06sFY9WidRPUyfOD1yxzU9Y00xPRJ4Mj3v0DM9YzVCPXwmSz03cU89UhdQPWF0Vj12UFI9mhJTPZguUD2AbkI9sxpMPSvhUT1YvkI9dWNGPUpqTz256089UoVSPU+AVj1oDVI9ZehpPZTrdj2QK209EJdpPfaGWz2PNls9NptlPWFOVj1z+lY9qHBWPbbHVT2/m2Y999doPVcTZD2ZH2c9G6Z3PZRZfD1ChoM9VvyCPVxrhz1Ak4I9506CPZXchD3anog9z8ZoPdvKaz1hPnM9DR96PcYOdj0QP3Q9KelvPSoIcT1QdW49+xOAPaAwfj2ZcXA9wMBmPVjDZj3ytVw9CvRmPTxzWz0s00Q9xbtMPU7BWD2gjU09BXhXPRL2Uz3q5FU90x5aPYmDXj3fE0k9xyE8PdikQz2UYEY9b9s3PdyKOD1MDj49Q2Y9PRt+MT0hnyw9VX8jPeVhIj120xs926EXPdi7IT1uODE9FsI1PTzONz0wxDM97h8yPfqHKz3ctys95641PTm2QD0VgDo92+8qPc7sLD1hQDE9UaEsPUelIT1kliE9EfMaPcbQ/zw+YtU8w5vcPMCTJD0MkkQ9md4APh52Yz7lUUQ+2qMcPpqOIj4J3iA+b7odPnbbID5RPi4+oNUqPm8VHD7t2R0+E3klPq3aWD4HfUs+5ghGPjnbXz6OUHE+3SJ5Pu8miD5K0Vo+qR0rPr7SLz6GQVM+vPaFPkdpcz4cSI4+uqqgPmrflz5/3mk+ObBVPtGAVz6k91k+4cpNPq80Qj6COkc+uylSPlO0Tz6fVU0+MOFFPv8LQT5lRVQ+JIx4PkiZcj4Q/HA+mnJdPlsbZT5DY34+2DJrPqfMTD6qgjo+KlE6PkgWOD4LLEE+bp5LPgCEQz7o0EA+355NPgdNPj6LvD8+q+o8PkK0Lz6JTjA+hAg0PtHARD7cFEo+p5gzPhWzPT63KUQ+ig9KPnUNRz6Sa08+3ApWPlm2SD4jCDk+URFjPnY/oT6fnok+bXyCPqQGXT6JgDc+6RU6PmKoPD64O0I+fBEsPjkxPT5oO0g+4Ew5PszIQz5FD0o+b9M1PriLMz4ckDI+3fs0PnFiQz6+BUI+zXQ4PobJIT6WHDQ+C8I+Pv7gNT5C/DU+gzkwPtbQIj6LuUY+f48+PlJuNz7TxTw+EQsvPiLLNj6OHC8+cnIzPg1RMT7c/zs+t/Q8PijAMT6ogCg+F/kzPlKCRz4aa2c+UPx2Pso2Pz45xyU+uCFDPr/4TT5BGDw+27InPrFwIz7T2Qw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4LJNz7hvtU9TkhIPYK3Lj2Z4Cs9yF02PVPyST1eqj09SMokPQTrIT2znSA9LJs1PaioQj2dNz092o4uPXaqKz08FiY9KiwnPce3MT0d7089ZXNPPaxtVT1WI1U9P2RWPXfPSj2BHkw90XBPPexgTj1Zbkk9ZHRFPSzfQz0vf0095mBLPbrDMT2Z9DI9Q/pHPQF6TT3EyWE9/VFhPRFxQz0LLi490lkdPeWoEz1ung09s2kQPT6+HT3B0yU9PkQsPWqXNz2CATc9u5MrPYxGHT3eYRs9Ye8qPY9PLD3rXSw9baw0PUmTOj2WAz499tw/PeA3Mz1NRiY9bG4mPWktLD1M/j49hrFJPck4Sj1K2ks9KShHPba6QT11vjc99YIyPfM/MT2WHDA9OzIqPZmNKz2/qTY9uTY3PV3iSD2ZLlE9471IPXMTRj1Z6Us9FPFMPfBqVT04skY9smU5PV67Mj0uJyM9PwglPU8/Nz3J0TE92XwnPeiCKD0200A908ZZPZSDVD2nbVM97rJfPVPuZT0ymWM9j/NXPaviWz3B9lw9ALxDPSzeST1LHE89KadhPT/BXD0OdG09LCh7PTirbD2UinM93npvPSHMZT2ekl49YYlLPXx2Tj390109jztdPVevUz2K5js93b0vPUykMj0N3DQ9hLg6PS7nVD1k/2M9awtUPXLsRj2ldDw9djI1PVc9Nz3y2UI91u1RPWtqUD1Dl1I9IktRPSlcUD2AKlc9N59WPVecUj1lNFE9ELFjPW22cD3SFW09SfprPSu6XD2RdW09/tJgPda7YD29iGQ9BMdwPfXObT3p5XU9qpNlPQBJYj1TT2w9MURhPTRQRz3Hq089cPNcPfZvXT0R21w94sZePV96ZT2dHVg9LadUPbADfT3CTI89zRmQPR4ylj1SoYI9suhmPa2JWT1lTFY9TLdYPU5TYz0stoA9XlWDPfNwfT2zTno9QfZ6PeRyhD1AJYk99e+IPbJdgz1xq2s9ZbZaPUsLWz0gDV49X1BdPa6dYT3vY149MaBwPaZCdj09O389C9V0PRiobD0br2I9d59JPUcXST3GnUw9tqdAPTQsNT30x0A9TixYPQXCWj2Zy0w9Fzo7PehfLT1jASY92eMhPWkFKj13mzc9+IoxPTpJHz1pVCI9c7AhPVueKj0X5yw984cpPdAiMT0Jhy89yVEqPeTyND2hNEk9pQlSPY7+kj3EvoU97yofPcMlEj2Gaw49eOwPPSwQAj23Xec81gu7PBsgxjxu2wc9e3eDPS7I2T341FY+T/tAPkcyIj6iMig+SkckPt6KIj7vjSY+tuktPpb7JT6GfiU+R+ApPmp+LD6lFTw+7h87Pmy1NT72IUA+8WVOPv5FRD5e7kA+jgcuPsnjLz5ibko+JtROPqE5SD46DEM+GZxEPgcgTj5vl0E+5I44Pne2Rz43EVE+tDdPPuctWz7z3Fs+P9xcPnGmQD6Qgjg+SXs5PgfTPT6Ft0Y+t7s3Phi7Oz6gjUI+5rVRPshxUj69cWI+9WqVPgd4gD7V3l0+/stQPpdWcj4agpM+JoxpPi1keT5vRVg+X3lNPpxdTD4IRFE+d81KPhQMRT6TcEU+meJFPjpVSD5DUVE+WE9PPvL7VD73qEg+zac6Pjq0OT6OOSg+Jfc1PpLKMT54Wiw+yAYzPveLXT5mPGg+qKpoPhaHbD65wVc+XAZGPpD6Nz7ppTM+GqIrPhRkNz6TeEA+y7I9PkRxRj6BTz8+l3w5Pm1rLz5mQjg+iqI9PiXBMj6ydS0+HiYzPtsjQD6APjo+KAA/PmuvQT4Y4zk+mJI1Pn1RKj6cfiM+ZYktPjTpIj5rRjI+qjA3PkfKMT5sjVY+dVByPoU1WT6QtDk+xoEzPpvtMz7TjCo+RXsuPmPXLD6BMTU+4BtBPovLNz4+wR8+WX0qPqi/Tz7BvjY+Qm8wPgzMJD4B3iE+gjQUPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+ivRY++/B0PYIzST3670A9S2BCPeGORD1Vozk9PW4tPdcVLj0bfzM9d2xDPT8dTD23Dj09/JMmPfgzKT3w5Sw9IQ8uPbEqLD1ajTw9AoMyPQ9LRD1q7GA9L71LPe8XOz1GDDg9Ju05PQxiQj2iRVs9iDVhPeJ9XD3/nFw95LZaPciJTj09Dkw97yBNPSn3Sj3QhkM9rvg5PdnZLz1kzSg9ADgpPZunKD3qlio9JC8oPWthJT3o2i89cugvPQIxMj1XdS89gScrPafPHj2cciU9670yPRWkOz0GOyY99SomPabIKD1KwTA9C7w1PbDrKD1k8yA95rcpPatrLj26Vjc9+dpHPcQPTT1ay1E9hnBTPda2Tj2SREg9bws8PSnOLD08TC899Jw6PdAGPD0bkz49fCZAPaYoOD1GnDc9ldtBPcesQz0J1Uo9kC9YPTSWRz2jqD494sU/PQNEQj0UaEA9OCU+PZD7Nj3t0Dg9uYcxPdZ4OD3l+T49PUNEPc1qSj1jLks975lMPTnTUz2jb1E9m7tPPR2EST11u0g9zgFRPR7OTj28zWI91btpPXyNZz2ziWo9Hb5sPRzLaT0vRmU9OIhoPR1zZj3NHlY9MzFHPY0NST03MlM9+y9mPbMGZj1VVlo9o6hAPc5YPD1nWkc9tV1bPbl6XD0G01U9ZnpPPVJqSD01HDY9EJ48PTi0Rz1hXU09GohUPR8gVz0x6l09zshTPfcPUz3SglM9lQ1RPSSqSD2aOFQ9JTlYPZkYaD3y+nA9a2pvPQ+CdT1/BHI9ePl/PTw9dj23sWo9QTBkPXrdcT0zaHY9yslqPdzBVT1j+z89qW89PSmvQz2v6009bzlNPedWVj3o31A99t1YPfNKZD20nH09L6B+PaJHhj3NzYM9P4Z8Pck6hT1wHIM9PMBpPWz2Vz0mp0w9IsdxPYsVfj0Peo092wmQPYpeiD03gn89/zJzPXfXYj2E22w9VMV7PSeNYz0p2E49RZBLPUkZWz3OW149azBkPeCPZj0bCn49U2SDPXbSkz3nr409ZiSJPWNngT2lmXI9+K1aPZEjMD0naCg9LBAxPbx0OT2OJD89Qu5KPVNgRD2KNTI91vInPeMKIT3n2CE9YvAhPUEUGD1D3hk98PgiPRPVFz0yJhU9cwMcPdYfKD1aqSs9eqgqPeE3LD3zQj09JSxBPSBBPj0wLDc9jNJ8PWvymz1iIxg+l/+tPbHPKD1/OB49RfEdPWwJGj3TwAY9ZXTGPHB8mzxYPME80IUJPQ9g0z1q7QI+1a81PkltJz4QLy0+TiwuPiaqJj4PmyQ+2bwmPmQeKD7egzY+GwJCPpzUQj4mbzg+Z4A1PqhwKz5q7So+KF1CPso6Qz6IFi0+7/MqPlCzJj5Swjs+sg1XPutgND7OrEQ+aLlXPrqVUz7uDT8+9yc+Ph37Qj5gEVg+/N9XPtKuSj6MZFM+W4BqPkswXD5Fezg+bF86PuYoOT5yXDo+DbU/PoTNQD5780c+9PZFPt0RRz5a7Ek+10tSPgZRWT6Wqlo+YndGPmU6OD7fVVQ+JLpzPiOvWj7Fl24+tLxePsoAUT5Fgk4+IwBVPsKVTj6gdVI+GyROPusPSz4nilA+HH9BPop4Tj5ZrGU+arRUPhc/ZT5PqDY+rT0fPj7YHj7NrCI+d6AqPi/KKj41QUA+Z9tHPsmyUD68P0A+GaI5PhH9PD7hBDw+ok8jPiUHHz6G0x8+N/ApPiBiQj64GUY+r1QqPoFJJj6MAiM+JL8uPj5qOT4aNj4+fWUyPv5LOD58iDs+UUw1Pt87OD6VYjs+xuU2PlLVGD5JGA4+8aYZPiY4Iz7SUyA+J5QlPuvTJT52nRs+Z61jPvbhhj7E81M+MMApPtqkJT525SM+19IrPhN9Lz7nzjY+ziIkPr/1HD6+wRU+A78wPhQPMz6Ewyw+k7IkPqP4Hz6Rrxk+cMMZPnw1Hz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/CYdj1vRVo9RFRUPWUQVD1FPFE92nI+PRfoMj0m5jI9TME9PcP+Rz1F0Eg9XqVOPaR2Lj2qBB89FMYsPVYaKz0Myyk92oMyPcbaOz0CilI9dUFPPduaNz3p3Sk9eWEpPe9nOD1Qa0E9YhFXPfbaZT0ObWw9iYFmPTH5Vz3lP0A9+Uw5PfuTPD2lBjo9S7szPZ08Mz01gTU9YCtHPU3oRz173DA9DdkvPetYLj3ZcTE9R1U3PczDJj1REhs9qOUcPeovHz1W2R895XwjPZx7Hj31uCM9En4cPXmYJz0d4is9uX01PddpSD2fyEc90d87PYTKOz0myzw9XJk8PUDJQz30VlI9a+5EPUZfOD2H9jI9+QQzPbm4Nz19Yjw9BCk1PQdkLD03BCo9vAEwPXd0PT0+ozk9i9Y1PdbkRT31yV09GhxqPa8UVT3CjDI9L7NQPa/nYD1kVVA9+CFKPWP2Qz0b60k9i+FEPVmZPj3ESUw9y/JePd5vYj2D3FM9DCtSPTh/Pj0RPjw9lvJEPbMLSj1qmEg9YM9OPbmoYj2TsUo9w/FIPW5jTz08VFI9sfJjPcPHcD3mfmw9KbliPfRDWj1pb109PGVqPUNgaD0RSGw9Jq5uPXmtWD1ZuU89DppIPfgDQD2Bi0U9gS9aPVGSaj35NWE9xa5ZPXArUz1ptkw95TZBPdZvTD3sw1U9T9FePebcUj0cSUE9kAlHPWS/ST0apUE9Drg8PXCbST3Sb1A9d0pUPUJ7aT3+Mnw91AeDPY8zgD3wT3s9UQZ8PS1BdT1k53g9Oo1wPdH0bz0kXmk935t6PYH8Xz2RqkM9skdIPYpISz1a+FY9QlhIPV6QTD1Z/VQ9BZFoPQMEhD1uqIc9MPiMPYrZiz00lYo9Hrd4PVU+Wz3FJ1U9FD1DPTNOPz0y5kY9ofNhPatehj00c409wVOOPRpigj0JZog9kQZ+PSxiXz1cS1U9vOFXPSVIXz0mxVo9/ORfPUJpTz3yVVI9pkFbPb7BXD1GOmw9/o2BPVEtgT1FAoY9CyqCPWAUfD0zB3E9Y/xiPaXGUj3DvUw9TV1EPQfuPz26e0M9gDRDPcuiQz3h4ic9JJEVPQb8Ej22UxY9NloePdVNHT0NqRs9jUsRPZC6Ez1V7RU9FMYkPVmbMD0a3Ss9xFYpPZiILD38fi49Kq03PbqEKj0pBSU97J0iPTN2Jj1flig9pDQ1PZ4iMz0UkSw98y0iPRZ2Fj3rqQU9EqjxPAjOojwN3Yc8ytLMPIlQMz3qqgw+nIMqPgPVNj6NACk+pHgxPnJ5Kj65xyk+ZU8jPirmJT7B9jY+64k/Pr8iOj6qQDU+zr4xPmgzMT5Qwis+S74qPvmaNj7bSTk+wDQwPmSDLj5ITSw+CAAwPhvdQj74lzw+pKthPioFZz4Ry18+wXpNPoD4QD4T8E8+fStYPu28Oz5Z2To+jHVKPk+kVD5xxT4+3w5MPvLwSD7eUkA+Mcg9PutLQz4hl0s+c+FEPuUwTD6ImU8+Qz9HPtj7VT6VYk8+/HhGPheZRT4lPEI+wv5APl63Rz5V7ks+c9lQPp5iST5Ivz4+jCtAPtQ3TT4E7k4+OZBaPqEVZz7q0i0+svonPh0WPj7HAUg+0ZlEPlTrUT6QZHI+/FpRPmkQQT5bATc+4DIwPoPrLD763S0+Wc8zPu0UNT7XNUU+6lA1PpGsOT5DVVs+2X9gPvRGOz4ZBTM+gEEhPrhXKj7v+zY+HPkqPpTDLz7EOzg+Y/ZEPs85Nz7ZQD4+kX8zPgFQJT5l0SU+EIAkPkQ1KT5dkzY+8r81PgTiLz5+Qys+t0okPoZLGj62Rxs+LHAYPv4NIz4LEjQ+CtlqPiZkYD40KDw+38MQPmyvJz5bhzU++QgxPvtSLD7fFyo++qIsPu2mJj5kBho+xTEmPuxFMT4u1zE+9gIoPqtkIz7wXyY+4EkmPu9TJT6lsC0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+YCnw9J3o8PUiDVT1QH2A9lkhYPdPvQT3ebEI99Nw7PYyPPD2fRjw9x9g2PYIGOj2ToCQ9XHklPdCIMT3X6jA9teczPeX6NT3esDk9o9I1PXAWND1M4y898wI3PQs5PD0wAks9Co1OPQwEUz21UWI9hliBPZmgZj3so14979RKPTTWRT1LrUU9wDlOPbfLQj2irz89w1NDPSSrPz21fDo9axwvPex7Kj1YsB898yogPZlfJD1PVSA9gi0PPaDhFD12xBs9Pc0gPQCUKT3Z+So9M/8rPTpGMj1DHzI9+WMzPY6UTT2HlGw9vvxlPemrVT3hwUE9wXw9PQxTOD1jMzk9jXk7PWEoOT0Fp0E9psxFPfUTPz27iS89K0glPceCKD0uYig9QEcrPZI7LT3j5iw9cgI5Pcn6Vz0McWM96OJePTgtWz1mpUQ9x+4xPSsfQj3xBkA9jO88PWFQTz2nNlU96lF2PbmgVz0A+049XttCPYkSQj2BtUQ9zUpMPcmDRz37tzU9EV5EPTvmWT2D42w9irpqPffHWD2GHFY9PYFQPba4Uz05+l496MdhPQOLaD0f/Fw9kqRgPRnbdj1cbIU9n/6EPXl0hT1dbno9DIhqPflkZD0mTmw99tZaPczEVz2FKUg9L1BBPZ4bVz3tfF49do5oPV6XZz3gGl89z+JRPctFTD0jhk89FqZYPRIeXz2R3VU9wC9HPVF+Rz0SNU09T1RWPVZ6ZD14IF496MZsPUMadj0uLWU9yAtzPeSQfz2uQX49sXByPdVHZj0z1Wc9Q0xaPbuQSz3j1Eo96+FIPVZGQj0z0Ts9J85TPZ3JYT3rZGE9MplaPft8SD0uZ2I9csNzPZJVcD3K53w9KHGAPTR2dT235mU9A6NKPXJrNT1uUC89cBItPVnqLj15Czs9SCpEPfN3Uz0q8Fc990dVPV7SVz3MYmk9V4JsPUjWWT0haWQ9MkdWPf51VD3AT1A9YT5UPQbDUT1oQUY9C+VJPS+wRz2m1UU9xKNSPTq+cT2s1G09JzNhPXX1ZT1iomw9HHJvPYj+bz0d6HM9ecFrPQI0az0v2lw9s6BMPf6bMT01/xs9/W0QPaq3Dz2qnhQ9uicXPTIHGj1u3hQ9YbkYPfMeIT1mWB89JqQePaPZMj2XYEU9gsMwPS9vMD0blTA9+kEuPZChMz2Fzjk9mA4yPTwNNj0DOi89IGwsPYOrKT3CFS89nksvPcqwCD1iNc88yduqPOZMozyIz548Ss2oPL5l1Dx8g3g9Nbs6PvGxVj6CnjQ+3FkXPp2aGz7C9yE+dNUkPvEQHT5jqyA+DfUzPt0HQT6vATw+IEU9PhW7Oz7oyzo+iK85PhRsPT6h6DU+uus1PujtKT4YuR0+3yMsPiITOT7N3EY+UMZWPncvZj7W31o+OldSPoSIRD4tzDg+4qw+Pj7fJz5nJyQ+e9wkPvAWMT5SWEU+i8lVPv2RTj4AH0M+yb9FPn9WUz576FA+TW1FPlNOQz5/B0E+NRNTPve3bT6pAV8+2qVYPg9FTz5fr0c+475KPpswRj6dD1I+nY1UPqCPYz5yOVQ+lE9HPgnMST6A4Us+S6lBPsv7Sz4LdFE+7EQhPjd3MD4y3js+F+NJPj+YQj7b91I+uN5sPuoLUz7lsUc+NVtEPglaQj7xfEE+NDhJPrcJQz7k/jA+i5MwPhrsNz7FmUE+rgZNPjgWTj7H6Uc+SAhDPuO3MD66jys+kB4pPkduJj48MzY++jUvPn5fMz76rzc+Dh1APm1NKT7V3xg+i3cdPv2XIj70EC4+Yx02PvPqOj7Wgi4+kbsnPpRKLT4IrTQ+xQMgPuuvEz4HaSQ+lHl3PrbDmj6esWs+5JMxPkYVHz5cikI+EdtGPriLPD4+bjE+RygtPnoSLD6YAyw+wmcuPv0QOz6yaT8+PoBBPj81Lz5EmBQ+LS08PkiIST69VUE+fC8qPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/zy2pPY0MVT09Lls9AhlSPburRz1PCEg9YaxfPWH8Wz3xiUg96jdBPcuUOD3NGjc9bTZGPRfGSD26VUQ9nJpBPUiCMj2FfSw9mP0rPXgYMT3990M9jG9EPdINSj1U9l09xDJiPRn+Zj2ssl49dRRtPaLGiD0f9XI99kBqPUzHVT1S00Y9JwFDPWJ+YD1B20M93VwpPfBPLT2b6DI9VeUwPVtdKz2sfSE9rHYkPUQeID2iDRw9smMaPe2OFT1K2BE9u1ggPSPUIz0jszE9d7hNPUrDQj2TfD09kzNDPV7lPT1MxEU9BZhCPY1lPD2mSjo9KwI4PQnPPj0qsDQ9MqUvPe76OT3FhlA9btVBPRMeOT13kzE9caQ4PW/wOT0MqjI9CvU0PTfrOD2mdTk95yw+Pa9aUD2dJ3U94VRsPTeQSz0U0T89xu4+PYKUNT2MPD89059KPRd/TD0cEXE9Dvx/PT3biT12WGg9N+JYPdyRPT3W+zk9nSI+PRvDPD1KGTg9e6A/PUEEUz2IwmE9q9dRPcePUz12j2M9a11mPQBsYj0dtVw966pZPUhUYz0sqGA9Q+FZPQhNZT3kD4A97Jx4PQrDWT1EF2A9/xlwPc1cej0KQnk99cNhPeaLXD11s1w9n5hYPf4ZUj2xTlw9agRtPecGdj0u+mQ9JpdYPegyYT32J2c9VqZFPQXKRj2sPkU9TAlDPSwjRT3mfU09eUxaPWgvWj35jmE9O+pnPZgVhT04Nn49X5hlPamvcj2yDWA9W+pYPfGAUz0fhEg988VBPa46QT1tREc9ihhKPUblSj1rSlY9YQ9UPZhxXj10Xm49AN13PcPbeD2BLGA9s1VpPS4XeT11v3Q94pxkPU5cVj0tu0U9fEA1PUkJOT1s9Dg9a40+PTAFQj1d8UI9wUxHPZlQSD3asUM987hEPQl8Vz2/OFk9+O1aPayDUz0VPUI9E8Y5PcgtMj3YaDo9hjk7PYd3QT2mM1E9z2RYPTEeRD2L5UM9qJ5JPQaMXT1/7G09HOZ7PUUyej1/aIE9lwmBPRWHez0iNHU9KG9mPYhNVD1yoUc9vUFHPf8BPz3RpSA9aDcTPeJ8ED3+rRU9mWkcPexGHT19QBs9z7sbPSAEKz1j+zk9+qA5PWN5Oz1JUjw9A5c8PUjJOj2LtDo95S9EPSooRz2Q9z49V5wzPftGKT2FLyg9qlYoPfIVCT01H/w8pobYPHHByDyLYMk861rsPO0eBj23dAg9c8PBPDsvBT3zJCs9cTMGPmGUTj4pAC8+qZ0oPiUHID55/yQ+SuUxPiP5ND7Msic+W+koPgR0Kj4JxCc+7tc9Pu+ZND4FDis+G2otPs6EMz54Hzw+y7Y1PtwOMT4Jkzk+FKI2PljaOT4pF0s+5rZKPtJVPD5KoEQ+0sBPPgQ3TD59REU+FHg9Pup5Rj4N5Ts+aLA1PlQ/OT7pN00+jh9rPh5CUz5UHEQ+g/Y+PsXsTz5gnVI+S48+PiDjOT4p30M+U9RUPuKoTT63ykU+oNE9PpDpUz7MjlU+q+ZGPh3/Qj44SkQ+9KRKPgPQXj6GEk4+U15QPmkfUj6w+Gc+Nu9uPu2QTz55KkE++UU+PlolMz5pCz8+gthBPjPPMD4P+z8+9tFUPl8iYD6Y9E4+iYRCPg79Oz5eJDs+8e48PjJYPD6Pbk8+tT5cPpBcWz78r1A+IcNCPqfnWz6KK2I+X91CPmJXLz5Z8Cc+kzknPoBaOD46BS0+Z8Q5PiTBLj5yey4+6yIqPpH6MT5SxjE+6CgmPiypKT68ri8+VoY3PttNNj6Evx8+IEYlPpCKNz7o1C4+5LwrPgWqLz6tSC4++1U6PvVPNj7N4zg+NrlNPrwOKT5cDTU+tOM2PmbnLT4kRy4+w9olPtn/Ij6wmCQ+71MmPt+yMj5NXzk+pw49PqppOj69XSw+5V80Pj1ZOz4kWEI+FQtOPsayPT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfxfspj3/gFs94v41PSLKPj2HFFc9u65cPf8UUD1PbTw9ubo8PbUsQj2l5zs95J4zPWpANj2pHTo9H3s5PWmxOj0iZC49F4pFPd7ITT1AD109colRPTnGXj0nQmU9qyVdPbsZXT2DIGw96kWDPWG9ij11eoo9AattPQJVSj3ItEg9aMtGPVRnRD1v4Dk9dngxPc57OD2lqjs9HYxIPfXyPj3Tqh89cU8WPUzmHD0zayI9VIEgPZzEIT2wTR09Rm0ePW6PMD2dwjE9arc1PYjFOj2lRks9xBdePUMAXz03zk89HsU5Pff1Jz2DvzU9yYwyPUzzOD1SkjE9ugE1PZ8EOz0K5T499ztEPfT/RT3aKEY98hpPPZtcWz1O+lM9NqZMPXBNTD0MgTw9QDtGPV16Tj0/VF49paZpPYsxVz1iLkg9COBTPVMdWj33hVs9emBGPZjqRT2aQUo9+tpKPXkmRT2A+EI96dE1Pd4YMT36sTk9LH46PWKJQT3NakM9MHhLPbfeVD2vOlc9JdxmPdwoZD0p8WU9EuJnPZ0bbT3GCGQ9L9FPPZevUz3BqFk9XM5ZPRqYWT1Fu1w9C/VrPT47cT2NSXk9DzKBPfmEhT1n1249YQJbPUkeYD0pi189grxZPX+4VD2gwlE9CKVXPQkQcD0XLVc9MLVRPb+aUT1TpFE9Lp9XPaG6Xj1IBGw9WyxjPXJ5XT2RBWQ9p4NWPdJXYz0gsW49kMp7PTBagj0tmHc9brRjPQNLWT2/wEs9YwpOPdKDUz3pCVQ9iq1OPcvkRT1xRUo9R41PPcmZWD0OiVo93p5mPaPcYD0Un2s9UktxPYqmXT2lelw9H7ZnPfCkaT292mM9sQNUPUkwVT2k/2E90IVjPVjlXz05wU09pxQ7PcFXPz0Y50g9nHpJPdWkRT11UEI9tRBWPd6HYT3EHFY9ZRZJPWpfST0F8Uk95F5FPT7wRj2roT492FJPParBTD3XN0k9EEVTPfULTT1O3VA9NQhfPTEXaT0fVG49EyVwPQ5OfT23B4I9bxmGPWNNij3CXnc9jYxLPUACJz3trRc97aAfPRP1HT3p+ho92DkVPWPnGz2RoRY9LV0YPU4zHz0PHCM9Wu0nPaT9Hz2MCy894fg2PZh5ND3RyDc9T/M+PQhiVT00ZFM9EzM5PcElOj3ENzQ9LZgxPYAXKj1j2x49hhwzPQyEKD0Gpc888oirPGNisDzao7Q86dO3PAtxxzx/uM08x4bKPL2p1jz/ywc91j+OPUc9ND4I90U+klgiPgL2Hz7oHSE+Ej0lPo3IND5ucTQ+xpkvPuFXMT7vQyo+WcM5PkPrWj4euE4+61d6PgWIST5Abj0+28UsPpegND4Gd0I+Qow6PtKSLT7xwzs+qTpaPhhZUz4RZ10++xB1PgIWYz5821M+imNjPhT6ZD6UHEw+GExKPnfUOz41Mlg+n793Pivljj5Idmg+iO9SPqMeQj50AkM+Z0VBPlUfQD7puTg+T0VQPogESj7MikE+nuQ8Pj9WRj5UjWQ+TNxPPmblMT645zo+wH1BPvEGQD7s/Fw+tHFQPoQ0WT61yVM+P1FVPvkhVj4GRU8++VI6PggRSz6z7FM+3QNMPgvqSD4d+EI+vh1JPq3lWD5R+i8+7r44PuMbSz73gE4+afVaPh4pUD43gCk+k15BPjsyYD6jAF8+/21dPrH/cj6+sH8+riZnPjiWMj5EDj4+OB43PkLlND5OKk8+FQFEPt9mTj4DM2M+sMhdPi6yRT5ZOjU+GXpAPvw7PD5aqjk+8+83Pp3gNj4wfzI+nP4ePvKmCD70/Rs+zJAyPvPWMD5N+iA+5OoTPjRMOj6PokA+5mU2Pu+LMj7OKFM+TUlZPgVXMT5JRTA+nkYtPk+/KD7PhCo+o786PkB6Lj6jUBo+DzIjPhZjLT7NwS8+5WohPvF1MT7M9jk+x24oPiaiIj4ZDyA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/xdrE9QWRVPXqYQD1BNU09kyRIPShrPz3N9CA9SRkjPbyjOT3X1kU9AYpGPX2JST1Hpko9GSNHPSSUOz3UqjQ9/GAyPa0DUT3PJlY99DVWPbMaWz1Tvlk9L3RPPRlQVD1FlWA9301oPXWxdT0ahns9Vk1rPVN4ST2yHTM90ZQ2PV/8Oz092To9eAc4PcexPD3/FkE9hwFJPQDPWD1XE0w9TZc3PbnyHz2RSyc9is4zPbMSNj3DdzQ9LlwtPViXLz0rvDQ9ZK4uPRfSOD2uSUA97JlHPVfKUT1vfjw9wME1Pd0WNz35ajQ9WtstPRwUKT1B6iw97gE9PeuPRT02sEU9PoJFPZDBOD1APUc9bupgPW82XD00PVc9CydMPQHAQj1BfUI92m5HPbkIUz3U+lU9SfpNPRbHTD2AJEo94t1PPR4eUT0490M9ffdAPY4yOz1ZZD895WUxPWDLND2xbEI9s7xCPbKdNj3H2DI9lL9GPfyzPD2bcz898CdMPZBwVD0iv1g92FZYPXopaz2z0Ws9DOlrPfgQbz3FGHQ9UWxlPTbIYD1p+Vw9zslPPd/dRj1Mw0w9/RdqPbZgcD2henM9COdpPezmZj3QX2c9JaBfPST/aD3kQ2Q9MWlXPW8yVD21KV49aA5jPWvdVT1kn0c97CQ7PdIwOj2gQD89A+JJPVL0VT3XQGE9zD1pPSD+aj2SPWY9gAdjPXwZYD0lt3w9ANNxPVqAUz0atUM9uDg4PTR5RD1vSkg94ztCPbz+UT2DV1Y9eSRVPexkRj1WGVA9YXBKPSWLSD0mJlI9pZNVPf8fXT05+V89TIBdPZLmZT2sXmc9ycBrPYqSbD3qPG09IK5lPea1VD29dl49vAFpPaBKaT2YbVw9nDA9PTwCLT0dUyo9HAA+PUjyQj0vzEM9OjFQPUehZD3f7FA9ME9RPfURVT2KflY9iu5VPdTWVD3PylI9MJtgPe7oYz3POlY9fQdSPVG4Tj2tolQ9J+pOPfN0Xz2ebWs9ZvpWPVmiQT3o0kk9cSVTPdkDSD2T5EI9KuY+PYHZLz3M8yk9ugQzPcLtLT3xkSM9fc0kPe2OID0xICM9PFsnPc/GJD3S6yo93BgmPTSDIT1LeiY9TQYyPSzPJD0wXB89qL8nPa9TKz1rqSY9L8YnPUBQIj25iiY9PVIwPX/nMz3E2Ck9bc0TPXSgFT0SySo9unLbPJoLqDw8Ja88jo6rPEj7lzz+V548mY+1PI0b0TxjoeE8jTBnPQPhFj5aB0Y+jEwzPkEJJT4zhiw+ZeQuPufPMz4Z9jI+/lY5Pr0hKj7v6i0+K4YrPipkMD7laVM+PmdsPnv9Vz76Ai8+BMYyPvcGOz5ODks+SYJXPl84QD7s+zc+jOBlPhR3cj6wcVo+v3VHPqnSPj7WEUU+Jbs/PnN1ST5GaUA+2sI7PrbbOT4xJDY+WlZGPoXjYT6hz2E+ekZKPmFNPj4O9kE+8CA5PlciNT6UdkI+y2E9PnSoPj46WT4+qtVLPuvWRj46qUE+nR5JPgD7TD4h3kY+xudCPtAgPz4iADg+daZQPt91Wj5VU2c+tf9MPjRbOj7FBjo+H95BPoy1ND4dO0c+JAlOPqafRD7xGjk+88I6PhWOST7eB0E+VasuPiDBRT6LukA+2KM/PhujQD4tAzg++Cg2PodAPD43oS4+chszPr3YPD7xzFE+vGpMPip9OT5AWjc+f8U7Pp8NND6SgDE+ZHdIPpVRTT7siHg+86h5Psb7YT6AhkM+BBI3Ps5HMz4Jaz8+j0c7PgiOKj7sCDM+/j02PmmGGz4RfSQ+gD0wPkIlND6gOzU+LfglPly9HD5lvxo+79YzPqwQSz48v1M+EPI3PjnjNT7ZRy8+pMciPkrYJj4wFio+WiMqPgdeMD7Jmy0+Bjw4Plt8LT5GMRs+9LoZPsipJj7IkBk+CgELPhTxDT4+GAI+dlX4PQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH80Gwc+YnvgPfKYdT0uGkY948c1Pa1lJz2kNyc9zCIpPbe6MT0Hpj09RBFPPRZ1Sz3MvkM9n0NEPULQTD3ZGEk96MM8PVtHOT2T8FY92q5sPVusaD3wxVU9OdxLPdRpRj36Z109rW9rPYD6bT19GnU96edmPfpeOj3ENDg9kN5GPYImOj0pvkE9bldAPe09Pj1FZ0I9AA49PWMzQD04Z0E970JBPVjbRz16OEo9b2lCPcfERj3D6EU97fU3PYegTz2mkFg9DAw/PcTWPD3uCD49dRc5PUXyLT2L9SU9920wPS6RLj1xjiY9cNgiPR1NHT3EmSQ99801PYj8OT1xVTg9SQM7PTZAQj0gDkI9OUpJPWJqST30zDc9ctoxPTibWz1Zqm09updkPVeSTD0MbUI9KOFDPTBLQj1iikc9/pFRPTbCSD1T7kU9R9ZRPaCaUj1R9Eo9GkxMPde5PD2IPjY91pEsPREuLj1Igzs9yU0+Pes4SD1co0E9cRhGPQCXVz0ok1k9ndRcPVvcYT0nDoA98oV4PfjCbT0jF249vlZrPXWNWj39fFs9/3BbPb2WYz1zIWs9/ppnPRnSaD2PJWw9zaRePTVsRT0hcF49Rjx0PdqugD2W22I9NiVFPdOSPj1cDVI9PvpcPVJMTT3hxTo9cFg/PWbPSj19ikc93G1HPf7+Tz2iN2E9pfpfPRfcZz1haGo9pBRnPeTTaT02FV49/RxgPb9GUT0tWEI9EbU6Pc+dOT2LSkk9qY1BPf5ARj1GJmE90MJXPTRiTT1ZZzM9VYA2PXg6Pj2eBlE9JuNWPT7hYT07gWg9H4p8PdKQdT3pe3w9ZzyAPcz7eT3bNnc9rQdpPb6WXT2lqlw9Hu5oPVLMVz2EMEM9YBtDPaW0Sj1uWUQ97ZQ7PT7AOT2u0Uo9ZTNGPaWrQT1iwUo9WsxSPeb8Tz01/Fo919hgPWc7Xj0D8Vw9YQ5pPbDwdT07UW49NeZXPZgZVj0xjFs9UHBXPcgjQj1pvkQ9/qtGPaZLRD3BOTs9VVkyPYKdLj0KwS49EDA8PWInQD1hljw9zcItPQvhID33uyw9HxI6PfcgOD1zZi493K49PVA9KD2ZmxY9p3IcPYlUIz1NCCY94BsiPUaJIz2N1Bg9ra8cPTSmIT0p1CE9pT0YPUL4ET2FrwE9y2/vPBAd7jw7Oes8ObjmPAYKAz0COi49meg/Pcct/TzM3Jk8KDuQPGWrhDwH74A8QNz3PE/GkD1A0aE9ilmqPYLOBT45Rj0+ZLcwPhN3Iz6RJiU+aEYuPqGiNz7i2Ec+CUA9Png9Mz4M2C4+htwwPvTlLz7Piis+ciEtPncSIT43NSE+1345PsTjRD6ypkY+VYRPPpPHYj5Hf1s+rZZLPnR5QD5VLkE+wS5GPjwKQz4T2jk+BxBMPi5yTz6aYU8+ZNpPPo8AUD7wgj8+0+VLPiujUT5Lslk+xgFbPkH1Uj4fA08+5G1CPsDuQD5a1Ts+ROEzPtfoRz5q6j8+IOZCPrDnVD7UaE4+acFMPtK2Rz6HDUQ+rGk/PshmOT7CNDo+22Q7PhrcUD4I3kQ+VYBMPu+PVj6uAUM+svE2Ps5QOD5pLkU+a3VCPqvhQj7T7T0+8fYyPuELND5480M+f55EPo3zOT5EvUY+MCgzPhQbLz6FUDk+iLUxPgflLj6O+i0+Bhg2Ps19NT7uyTM+Mh8vPvD4Lz40tjA+bzQwPoeENj4h4zk+D/ZBPri9Pj4IjTU+i2JYPsgSSj6r10E+kmNIPrkYOj7Utz4+XpBMPsqbMz5N/Cw+/EUyPqfLMz6dFTU+l7MtPgB4Kj4Voyk+skEqPtl9KD55XjM+yQ9DPuUJUT5lQEY+7WREPpwtOD5dEC0+zfAoPtC8Kz5CAjQ+I4U4Pq8QNT6no0g+HX9APhenNT6shzk+bjYsPr9bJT7T7iE+FtgJPm6b+T2DvgY+eKgVPin+GD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/IKURPp0bGj5yb489CvFFPQy4OD1q9Cs9UdAoPcexKj2Cxjw9CfRAPTmuQj2m0T49Ps49Pfy7Vj0ATmM9RyZwPeeCVD2mjEk9Rh1XPVXGbz2o/mo9l71iPffCZD2Mr2U9BilfPRFgXD3kg2I9sHVbPU06Tz2e4kw9llRgPWmQVz3+KTk9KFM7PYSfOj0KBDk904s6Pe05Pj0t6EY9xWlBPb2NRj2eE1I9DgBMPReeSD0xxEA9PLdHPRe6Wz0StHE9VsJiPeX6Qj1x/TA9XLQsPcFZJT2D0ig9oRgvPSe8Oz3acjE98FoePX3SGT0f6CU9ry00PcP3QT2MNz89Wnc7PbHZPT3iFEo9EgpGPRp4Pj1brks9ESVWPXiOVD0G3mo9e8Z8PQaXZj2oPjs95xYwPacPNz0pQjk93axEPeBYSj19FVQ9maJaPWo/SD0OHkM99SY8PeeWPT2lMDQ9fIQ5PUWHQz12wj49qhVEPaCdTz1seVE9EVxPPSDqUz3dU1U91s1bPdToZD3W1WY9//9xPfRVfj3+W4I9CNV0PRAEaz1PE1o9g6NiPVNxXj37mWs9ccF3PYDRcT2Tc2Q9NUddPesCVz3/z1I9qSBiPR0BZD0xm109S8JJPbGxQj0wTTw9Elo8PdH2OT34nDc99uM0PeZRND2VZlI9d0FYPfcpWD0qi2091TCLPQ9/dT3m33g99hdoPbEESj2fiTw9BL0wPROCOz32qjQ92Cw4PVpRPz18UEA9P+pMPZcbUD33lEA9EEhCPU53RD3qTkI9mL09Pfu0QD1qLkw9v5FXPVKgYj1cZ2s9DopuPYU2fT2vVIA9P0t6PfVGcj1PAG09U11rPWAhZz2JH1s93QlTPR/PUD3y0jc9ygctPS0YMz2s0kU9aFhAPT0RNT3nPjc9cjE+PeMTPT0PkUM95yVRPRs9ZD1uJGc9WUJcPZHYaD2Wp2k9dHdfPdYKXj1zz1A9j5NJPbZnPj0QWEY9dn9RPQtrOD0IMy09jH83PaVyPT0kDEE9eOBLPYCCPT2vAjA90kUoPaUmKT34tjA93RUxPQS0Kz0J2yA93OcoPcDQNz1//S09Z9wmPSz5Qz2bYys9cQwaPbaGET1LuRM98EAXPb/KFT0F3A89/+wdPTFbHT0wLg89vO4KPeh+AT0FgfU8GEzlPNP10DyXXcY8iK3HPAw92jyr8Jk9djZCPvFKST4oS8Q9MgIwPaW4Jj27qFc9OgWQPXb42j0w0i8+ikFJPuMYMD5u6yE+cWgiPiwbIj5msSI+n3IXPhwaKD5mei8+b04/PkfoPT5UlCw+9EMlPp5dRD7lI1Y+j8FMPm6vOT4XZyo+6hkgPm1wMT4iSDU+FwZHPtbeYz4WW14+GA9NPjgGTz4S6k4+BDdQPqjKRj70/1U+GXhOPkq6UD5tCVM+esNRPmENaj539YU+jn9aPoF2Oj64x0s+1DtQPm2hTD46sEs+csxqPl49UD64dUo+DhZOPsMYQz5TKGs+B5xwPihQSj5ZlVg+fAtZPk2+WT4B1GY+wB05PuTpND7RMTk+BOQxPjHdRj750Ew+hOM6PiF6Qz55MEo+OANJPk+6Rz73okc+UYpBPm15Nz65c0I+0U8+PsXbMj54MjU+Q49FPufhRD6t+zI+1bglPtWsLz7+pTw+pYQ8Pg8hMz4G3CU+Ynk3Pqu/Xj6pn0Y+ARM+PhXNKz6lwCs+u90tPsZUMj7MjUs+BrFRPgVwST7NJys+j4shPueOOz4UpU8+lX1gPlSKZj7acVY+xTIzPtEsNT6ZAzc+svgyPsvkKD5JbCo+25hAPuyyPz71iTQ+Rw4tPhtVLT5gkS8+5I08PrntOT6sPjs+nw07PhowOD6+1S4+sqsqPhKBMz63my0+93EyPskALj4Phys+I+40PtA0Lz7lzCM+PPIgPk2/KT65+iw+ZUMzPvHDLz6oDy8+LHo3PqXXPD5mdzo+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfw8RmT2tps49nWKCPWNxRD1cFT89i1c8PQnyMz2jmUc9P7FGPWg0Qj3TmVA96zRXPVX7Xj3b8I49hcGQPf4mhD1kXVo9Pdt3PdpkgD1dbn49cgJpPYEmbT3LFGE9uy9NPftsPj2Epj89OdpdPWPmYD3JvFw9PaBXPfjISD1Bji89M7QxPRW4PD1KDUs9yG9JPXbzSD0W50k9Pb1LPb1vQz1mIk89cDhKPUWEMT34tS09v5RDPZueUT0aL1Y9XxRVPaS6Tz0+KUA9oA5BPUsYLz28dio9T84mPWc5KD0qAC09rHAqPVsAIz2xvyE9V2MwPerlRj1c5UA9ql84PX3jRD2wfEs9jpNNPSooUT0DSUo9DgxGPeZ/TT0PAlU93tBWPeCuWz08JUI9Xe4oPR3HMD0QBjs9oZpAPUYsYz3cSmU98ltrPVidXj2OM0s9WXlEPYI3QT1m8zM9M4EuPYwlOz0030491LpAPQrmQT1yO0Q9nj5NPZutUz37HVA99atiPTLYYj3/x2E9QOlpPREtbT3l5IM9rBdmPUl8ST2wzEU9by9KPVoFWj07GW89hJJ4PXG/gT37KYM983NwPZxNWD1K1lE91aZjPWW3Tj0b1jw9o209PexcPT0LMjQ9+hIkPaF9Gj3LYxs9pzklPRr9LD0agEk91KhxPfbWeD1znYA9pBKGPWWAgD07AG49PR9aPVpWRT3I8T492io9PWHiRj1iUEY9rdY8PU5sQj1eYD091M84PZ8aOD3Uzzs9rfQ5PRNDNz0CWkg9hPxLPdA4Sj2iDkw9YHhhPXDObz3DqX09shJsPbRVYj2n4GE9iUhmPS5AfD1X4X89sulmPcfxTj12wEs9MbpGPT4mTj2Xu1M9r1hDPT3kMz0BJzg9Jsc/PUuFOT0u+zg9swM+PZGGQz0KfEk9bVtNPdugVz3W41U9dVtQPXNIXT24T3Y929p+PUFagT0DmXo9475kPfNQST3T/Cs9hB8hPSvXHj3BaCc9aahAPZwvRj0ln0c9jPBLPVFDRj0RwkE9tXI3PcvtMT0Qxio9YrElPXp8Hz3vUxk9AoUhPbxjJj3HMyo9nO8dPRzhFz39dBs9T1gUPbKBCD1SSgc9tTQGPetgBD0P3v48g80APcdJQT1SuIU9gicnPWxKzzwkWcM8ZP+pPKNHqjxV2Ns8tkopPUru6j1wEAc+sOMwPq5paj4D8F4+t4AoPkuWHz4w8hY+UfofPuNIJz7xCjM+WhwrPi8yHT7QeRo+z/oZPi3CFj4Vuho+V5okPtEMJD4Ey0I+yxtEPvThRj5hMUU+lgQ0PnZ+Iz4TdF0+j2mAPgNZYz6nOz0+VrQ6Pjf8Hj5fKi0+6tc0PgRKQD4LMkE+FB9FPvwwUD4tWFs+VH1mPkuhdj5qFWI+4rRmPoPTXz6gylg+gdZXPqC5YD4rP4g+D3KGPkqxLT6EAjI+WG1GPl7OTD50HlA+MqdVPrPLTj5ESVA+sxg2Pj/LMD7egDM+WS5SPqZ5aT4TokU+L7pFPoqbSz4wYks+q79uPiMpSD6HCjo+SUc/PvMuMz4IeEE+4pBDPjKfPT7i+kE+CEk3Pgo8RT69ekM+S9JAPiUEOT5YDTk+LwNCPlUKQj5d5Tc+N045PnWDNz6XHzM+pQcsPv+5Ij5TizM+dxo9PkLdPz6/VT8+mkAwPl+gKz5R3jc+IAQzPsTlPj4h7Ug+hX82PvsfKT76KTw+nMo4PnQ8KD6TEy0+SuQoPuPZOD4ADTw+ddg4PseCLj6cuiY+aQE+Pp40Tz56fzY+2WMsPqH/JT5HCSI+GAwmPmykPT6KC14+rQ1yPooRRz5cfEU+6Vg7PqdlJD74Fy4+B3ouPpObND453SA+u1oXPsPRIz4eXDw+3eUuPtkGOz7JRT4+n10+Pj5nNj5neDc+0ssoPqxsEj6AMBo+Lc0ePvRoGj6y5CA+HacgPkm/Jj4aTS4+doouPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+qi7Q9QhGMPc3UgT2xMUk9DYxBPXOvQj1JXU49JOxSPbnzUD3scks9gGlYPWo6cz1lWHE9WAR0PZqWdD05a3M9Z21xPfwDeD0Rrm89UP1sPYhpYD2xe1o9J1BPPRgGTD1Z5E89WuFTPUK0aD0oXVM9JzBNPck9SD2KIFM9kIxIPWfkVT0/l2c9B1tpPSMaZj2AKlk9PUxFPfbcXz0G+2w9GlJmPbdgTj1/UjA9zOQ0PcG2UD2W22c9ImhkPZ1EXD1xlUA99XI9PXzpMD3qjyQ90YIjPSXKDj0lyw89foMtPSthPD1iiTU9jsMvPWoSLj0MsEE9bjJDPUUDTT3U0lU92X5TPSDLWT01QEw9/l5UPYuXSz3+iTk9H5Y0PayOND2JEDE9JnU4PQn4RD2OCFg9vFpkPclXcz1G8HI9BphlPWThTT29c0I9bvFMPVOYRj3JL0c9QK5LPU2DVT3GhlI9X6dGPf/YST2tY1A9ZK5MPeiORj0jhEs9uFZgPa2ohT3BdIk9sIqFPYwRcT3eeVE957E/PUzxYj1Mnn894ZF1PXoBdz1e+og9FAOGPcvTdz38aV49VrJXPRDbVD0bZ1U9ZGFOPVvhSD3nxjw9dikyPVZlJT24iBk9K7kYPYu/ID15DyE9UGEsPVqgLD2/bzM9iF5TPZYpZz2BoX09WnaAPUhaez0qLFQ9HAdCPcRdNT17rjE9O8o4PSqkQT2nMUU9tphLPZTBRT0mf0g9u8BMPVVBUj3kfVE9jFo4PettPT16fks9WvpSPadpUT0kslI9Y99XPdECYD2BumU9lRd6PXsvdT32X1s9ozxePUaqaj25CmU9VF1RPXd2Nj1oukE9BAhIPViUWD15ql091NNYPcB3Rj0jpkk9l15IPfnqRD3lPEQ9wSRTPdIHUz1clUw9QohZPTk2Vj2KkEw9BS1CPUd7TT04ilc9DhZcPdOtYD07ImM9BKJQPVWQLz0Doyc9Pc4qPTXxLj2KXTg9kuRIPRDxQj0/OkE9AF1GPb7nSD0y4D49tdolPThSHD2TCRs9CoQaPV90Hz3gbyI9u6kdPZgeKz3uNTY9xW4uPb4pID3DzR09XYAyPQOEjz3a+lE9MV0aPTBrFj3iFx89o3IhPQA5GD0S2yk98CFaPdVaJT3+2c88IcG8PJltkzzvLZk8F6P5POzvjD1KBEo+tQVOPg1HRj4BdSY+AEcpPobHJj6cnjw+rQpDPqYYRD4/PDk+9EQoPvJuHz7RGyE+JS0uPuG6Lj4GPSo+hDMrPpviNz5eYWw+SOVrPmIAYT6xPWU+Ut5hPmIxUj6dGU0+Oko8PkpLPj7UTUc+WRJKPvdYQz6XqTc+nZU4Poc8Qz6ytEE+QApJPkzIWz7asXc+vHVgPpw9Xj5U6Ho+FR98PpOeUj4nFFQ+iLBLPsciRD60C1M+EBxTPntGRT7G7TU+v6Q/PoRbVz5511g+woZWPhsAPz5igzI+0wBEPvgDMz6IdSU+psUqPi+xQD5jgV4+iLs3PrNzNT67M0Q+DkZZPtWUXD5t+1A+BehCPq8aSj4ilUk+JRs7PhFNNz7wci4+HJEvPtkJND7aMEU+zlJFPjUART4AEjk+6Gc2PhMvND7GODE+jW8+PqgXRj5EOUI+yXk7PsIpMD5LrC4+giVKPonUOD6C1TI+ZqEqPkqAJz70EyU+B0A6PnQYSD7+nD4+I+5FPsctTz62qFY+kmdPPgrLRT7Tyy0+wEsqPq31Kz51ajM+gHQ6PpXEUT5kXUc+rG8qPs/tMT6qbiw+Yz4lPh/fKT4Omig+j6MpPmrpLD76RSw+u4A+PvUrUD6b1Cs+taEePmayGT5tfh8+gksrPthWKD5QJyg+NuIdPgo9GT5gUic+YjEoPl0TJz5+XTg+EmYtPvEaJT7y9y8+PZZLPrgqOD4OMiI+j0wgPonFJj7u8ig+/d0rPoYuID53rh0+ntckPg+kJz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/aKmsPRPOgD3sCXI9dOVaPduxYD19fm09XAh5PYR7bz37om89fJB6PfxBhT2HxYY9Av+IPVF0iT02gIU9EuuAPf03YT2uE1s90M9hPZBLTT3EvVU9Pn5aPRGVUz0Wijc9DwYuPXIgNz2Jtkc96IBUPcNFXD1O9mw9y4NwPWvYfz30ZXk9iiNiPdgbWj1FVGY9wE1uPXXqbj0xAFo9bCRCPTgoRT2dZ0M9eBk1PYfdNj3ftUM9oKJQPVtDVD3mk1c9AERIPepBQT2ekTA929IoPZ1JLD0zPSY9+SQfPZrcKj38YUE9e60/PVOJOz2VUjw9zo09Pd7wRj2Qa1I9o2ZhPQ8bdT3bfW49X4FfPZI7RT3/5zk9Z0kpPavcJT2k/DU9ARQ3PU09OT36QTs9XhVAPV/5TD2DEUg9vgRJPUBUVj2n31s9vi9TPVksST24b0M96jpHPSuASz2oE009tbpHPfb+TD3SM1w9OYNVPS5bWD3HB1k9zldePQGqbj1LQXk9ywhrPT8QYj2FWko9ktY8PdFPTD3vTGo9cQhvPX+PcD1oEHY9LAF/PXaveD3a+2k9qeFsPU2UZz3DpVY9FgxNPdSCQD2TPzA9164ePT9sHD2REx49dhgVPerPHD2nPiw9yfc1PdJ+Pz0lGD09Muc6PW5YQj3xUFw9oyhbPWIpPD12YTI9GKk2PVTZUz1G3VA9vks8PVv7Qz2IVlA9CBRRPerWRT3J/1I9UWZMPYx/Qj14Z0M9HAdKPajdSj0HH1E9YhlePbhraD0FH2g9fJpYPZbDWD3zQls9YKBbPb6Qaj24ylw9ogFgPflEYj3JiF09c+9HPfoLQD3gwUs9OsRMPQX3bD2cPGk9Po5YPR37Pz1WmEM9eKxNPQONRj0VY0s994pdPXGebz2vlGw9ouNgPWFwZz3oOmM9IiBMPfQgSj3KB0k9kCZSPQudWD3omU49klJDPQPIPD1nDjM9PawqPX0HNj293Dg9TdpGPR2cTz3V8E09kIw/PUGfKT3YtRk9cE4WPY9vET0NaRI9q7EPPUR4HT1Vah09jIsbPZKPJj1PLx49nJIZPZuzFD0lBBc968ESPV28Fz3/MjE9wMYhPRrIJj0W/bE9IpozPuAlRT7w9y4+VQjfPWq1eT0Z2oc90JaiPSLSpT09uLk9NY3nPXfkBz4qsCM+khUhPu16GT5NyBs+sTclPicqKT6D0Ss+YzEtPkVeND5h2jg+0R46Pj0+Lz4HUjc+ZjsyPuY1Lz4QPTE+VfcxPqquLz5H8jM+Y/ZkPqSZbj69Wmw+AyeAPk/1gj4hTGM+PftRPhdzVD6JMCo+Blk6PnciRj7YlEk+idhkPk0ccT5Ni3M+viVqPqVLXz4KzUI+Ky1VPsPTZD57mH4++XiUPn6TmD5kPns+u/IwPozuMj6Etjw+JeE3Pg5oND4uBTE+Cs8/PsWSUz7W20U+gVFAPuvgPz4CRTk+/oY7PtGLST4Ck00+S0BAPq8rOj6tfjs+T9lHPujMOD6yaEM+K4hQPvQyTT5IK0w+mxdKPogyPz6tE0c+L51GPmGkMT4G4zQ++Vs7PohpNz7+Kzo+mUA9PjpNLj4sTiw+NsorPrlSKz5VrDU+/8I5Pi65QT7nUE0+DBNIPhp5Pz6EKC8+KycsPvfJPT6A4Dk+40M5PsBjOT7pqDg+4pwlPgBSQj5Z+U8+MpUuPkwKPD7avzg+tpFSPg4uNz5f+Co+jgo3PmAyNz6dfyU+UBQXPsshKT7xmjg+FPBCPiWrOz7ILzk+stYwPoELKD5N/Ts+InQ/PnNaMD5tRyw+1WcnPoVXLD4ApCg+L9sqPgPbHz5dfhc+psQpPg6SIz6iOyI+DbwsPgcqKj5Xcyo+H2soPvtfJj5gRyI+5osnPn16Lz423So+bl4qPqzCMT5prjg+tJo7Po8wOD5t+y0+qnUrPn2sJT6APCQ+aAgiPsEMLD5FYy8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzZH0T1L8509c1JxPY11az3eYms9JyduPSbHcz0q2nM9cYt7PeOqgT02BYc9gz6FPTkEhj2PW4E9afhiPe+4Xj0dEVU95ptNPRAIXj2lZ2I9cMJYPdJYTT1tqEM9o3A+PbdDOT2XWT49TuNZPYsWaz0/RnY9LZCMPQ6NhD3xMW49iSFhPfBaWT12plw9NOBVPQERSj0f/zE98AwuPdyBNz32Azw9GA00PaPEMT08v0A9KDtNPQqXRT3IqUU9VaBIPdZuQz3h9jY94XgmPUuDHD1wvSg9z4ItPcZOMT3oZzM9qAg0PXdWMD3umTY9p6k9PTPcRj2CQGc91wiFPSiagT2oXVo9suE6PcqCNz3uMzM9LOE3Pf3UMT3fuy09nyg8PaplPD1OHUA91KJOPQAwUD0Q+Vg9oe9bPVAnZD2l8mU9cgFZPQcqRD01wzs9P9lIPXXKVD04ak897XBPPQzQYj3X41k98IVgPVWabT1FW2c90wtnPYf+cT2mGnM9b8VrPfpBVT1dX0s9vTpNPayNVj1ELmY9NNt8PfJmgj1tK4U9cWCGPc5+hz0rMpc9B+eiPbtLhT2ThFM9msVGPYttQT0Fyyw9HhY1PX3aMj3nvi09x3IsPR9gJz3IjSg9x9o1PaVqPD1mqEU9sldGPaYySD1hX1I9NbZfPeNUZD2atkc995dDPS7PRj3NBkA9SqFHPRHuTz2GZ1M9IQZTPQe4Uj2uukw90hxJPaKCSD2bFEg9FQBTPWmEXD1nQFs9peVWPZZyXz27hGE9tP9oPfE8Xz3Q5l09Y3BePdfUXD1Vcl493s1dPb0rWz3xuGo9jNBpPVTrWz2q8Eg9CJ5GPZBGNj3upTY9ABk9PRyXRD1e9zw9FGI5PaoaOz0K/T898OpLPXHgXz3pQ4M9Ha+NPeBUdT0oLEI9nZE7PYySPz2BZlU95LdVPfGgQz3n+Dw9wc8yPV9LLD1ssyU9DfUkPWnyJD3CMD09SwJIPQyRRj0skjU9lesSPcqrDD1lJhE9WX8aPfdjHj0/GBo9J+gVPbwtGj2ZJxc9x48dPbZWHj0cXRI9raMIPbc5ET2iFR89opMhPX4EGj0/7Rc9r0EPPXPJBT1i4BY9GcFIPU0rlz2KV6U990LLPf5L4D2z7BU+SZQsPi8eLj6vbCg+jlEoPus7Kz7owig+ZPcbPuYGHj4pnSM+ImgjPg+gJT5+2yY+fCIpPv6gMj53gSY+jEAmPoEpJz7A6Sc+y+MxPoikLT5wES4+YEw5Pg2RNz585zI+93sxPvQpSz4oa1k+TxJYPjGfZT5RM2k+XQNXProhXj4jE1s+TuRAPvr9Qz6c3k4+8yR8Pl3vjT45Cn0+9bdOPhYQQj5CTj4+zRE6Pj34RD7DTWA+6o99Pu4xgz6Fm4Q+8VGLPrIHSz77ljs+epw3PsCzNj4LqzU+jVFBPuxBTT6E60U+yvRGPh7+Rj6gWkc+dUNJPjc5Qj4hSkQ+OWBCPukXQz5ZBT0+A9w8PmL/TD4nH0U+xts/PqhdRD6QREU+BYpFPuvwTT6hSVc+5OlPPlmrPz5ej0I+i9JIPpWUSj4aHUw+6W9DPlZgND6NFz4+/2M9PkTeOz4XVTY+FTwtPt6ROj5C60g+eghOPt8NSj7Q4EE+cuE2Plq2KT5Btic+LY45PqC1OD7OJTM+yk8sPgRoNz6rcj8+lK1APu0ZTD6TQkU+LOI0Pjk/Jj4EHCE++xkvPoWJOD76ezE+sKcqPkqYJD5egiI+eBwmPqAqOz4wBis+X3ErPls5Mj6bOyo+FcouPjCZKz5rHSk+yO4pPiRTLT4T1yk+SdwvPiokLz5BTiQ+nSUcPirLIj6wAio+4jotPt6ZKj76big+fh4yPoieOD5l+U8+7KM3PjTvMj6wBCc+fCUvPj58Mj4hCzs+W9FAPlf7OT6x8Do+o5swPuJbLj6D/TI+9w4wPrfuKT7iLjE+NzMzPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9CSdA9svKbPTa/ZD0v/GU93fhpPXDfZj2DFHQ9jGmFPXgOjT0LI4Q9El6CPZk3dT1srmY9tZNIPYV/Qz0PukE9ChtFPbf3Rj03BUw9zTxQPS2DQz0Xtjo9HMg8PQ8dQz2hZ0I9IPNIPcjObD3J54A94Vp7PQhdZj2WnWI9TNVUPWPvPD37QTc9a3Q3PYDzOT1fsC49li4uPb38KD0Db0A9gFBEPa6AQT3VH0c9vjVNPbzVQj3bOzY91uFAPQOqRj0WfD49ktI2PYiyND2+bzs9lTlFPbyGRT2bPzQ9mSw4PbS/Mz01QS09h6xEPfaDWT3oaFw9rJBsPegpej3ME1w9m8U8PWvxPD2ftz49F4xDPV/BPD0EEjI9PeI4PUsWVj19Kl09D0xjPY8uZj04uFc9rI9TPRxfTj32JEI9Ay5BPRc4PT0rGT09FHhGPf1NUz3DT1k9AlhRPVMqSz23jVY9BmdbPfLvWj2Ocmc9DPJePXMdXz0xiF091eROPbDIXz3KOHQ9K/uBPS3FgT1RLH49PCOFPYBriT3eQYs9E7GFPSEafz2QWIE9jryGPesrhD05G1w9pCtNPZGCTj3a8kI9MAEtPVwKNT1DxjU9utovPbwPMz1YDzM9jHklPWFXNT3XgD49byNDPfI9Sj1ZAk09BvZJPaxzSD2mpUk9H+lKPVCJUD3G3FQ9j7RZPTYQWj1n9F09HzFsPYcVcT2LcFQ9I/FOPZGARD0uS0Q9ebZHPRCCVD2ufFY9TzRYPbXbZD2QeWw9UsZpPSeNej02EXY9KEBqPUN6Xj3nXVI96eVUPdPaSz38b0E9sSdQPT6OVz3Yb1A93201PWKdNT0LFjk9xCc/PYjjPz2Kokk9s8xFPdXLRT2pNEI9ryBSPW7uYj0NH3s9DJ2GPaEpeT1lV1g9Rrw9Pe0rOz3T2T89DSRWPasZXD05mUI9XpM0PY8kLz1Hbyk92eElPeqWKD24uyg9c44vPd9dLD0c2ic9aoQePW7tDD0CIxA9wlsTPbnvFz1+rhc9osYaPYE1HD1+nhg92+YYPZn8Ez3oxRE9ibUSPQKYKj2+RSY9g4AkPajkNj3leCg935kfPZR7+Tx1yPw8Q0khPfHKHz2GzQU9mprTPOQ24jwkAH89cYcAPl5+Iz5tATI+1zIlPunSIj6gvyA+2qUmPtNUID4qRB4+3i8qPhdmMT7ioEA+Yow5PoEcLj5qHUA+WWE6PgP2NT5VsjY+kjk5PhnwNz6xrTY+isE8PtYEOz70QTE+q/QyPslfQD5swVI+D/xfPlr1Yz4RUmQ+P5BvPp1XZT7S72Q+vHpgPmrOVj5UyV0+xDtDPtLQQD5Cx3E+PmBUPiq7NT5+4jY+5pEwPoOtMj4LFi8++phRPqIERD57ozo+8YM9PrvPTD4avUg+B91MPuQpTD429Ec+eQBEPmqLUT4jrVE+NfhAPmdhQT7vOEk+KJJKPs1uST5VgDo+VaQ/PrClQj5MxjU+zQM2PjCYNz6N7z0+b8Y7PiLFOz6B6EU+FZBTPigTRD4L7U8+Y/tJPtc3Pj475Dw+A/k4Pv0uQD713UE+JhJFPnTiQD5n2z8+fH1BPvvFNj4AFjc+nqcyPuBOPD6CrD4+3to/PmrMTT4Mnz4+1Y5BPk/BVj5cEUw+wX0xPjJnQD5wkUU+3hY6PlT5LT6O4C8+M1w3PhS9Pz5o5zQ+GGkxPg+HKT68DRU+TeUhPtNzIj5VGDI+c9w6PnNPKz4CNCU+a6grPro/MT4ocjY+ISQ1PgnPMT4drzg+blsePulPJj6VoC4+8LwrPn1wJz4T5ik+2CcdPrqJJz4jHTE+i0EvPmQtKz6SaxU+nkkhPgoSLz5NCiY+Tb0wPvw2VD4ZVVg+er0vPstiMT4bOTY+wm0sPv07Lz7CUzE+gTk5PkqiND4AkyQ+BFcwPhr9MD6ZyDc+uek3PkmOOD6GWEA+GcswPsYyKT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/7iAEPn69tj3Knmc9IeB7PaOfgT0vNYQ9qyiJPWbojD3pzH09tbRdPXTwUz32kkg9FBdBPdaATD2vyks9B7xAPfWFQT3HJTw9/oQuPVumNz2hf0Q9WAA+PX87QD3iN0s9R1JRPfxaTj0fZG495Kt2PXA0aj2/DVU9IXg6PVFqOD3d00A9wq5HPapTSD3P0ks9pHM+PcaMQT1U4kw9JwBZPSO9SD2SoEA9T5cvPTMmNz1vcko9x4JHPTh+ST1OX0w9ts5KPeLNOz0Irjc9Rrc5PWVHPj0+N0Y9ll1IPRpgTT23ykk97rJJPQ1YYD3Wa3Y9Cu55PV/OeD0B1FQ9pXFBPVixQT0Az0w9iHFaPV1VWz1wkVo93n5mPZELYz3YF249mLV0PRaraz2iyVc9IRlbPV9XVj0ccUI9YrFBPfqRQD1UsT89QAxEPezjTD0gSFA9+HNHPSYQQT3gE0Q9ejhcPZRdbT021lk91QRUPYYmRD3RW0Y9IrhOPX51UD3uZ3A9DLyDPdY2jj03f409D7OBPdRkgj3jUlk9a/0+PZPnRz25i1E9oKBkPe6ffD0rVWM9ijtHPU0cRj2rmUY9rApBPaU5Nz2eJjU95YgvPVFGMz2xKTU9sGw0PWXpRj04zUk9FThEPVD1Pj0a7UQ9fV5IPYUoNT28Cis9rxhJPQzUWj0+6VU9ZLpjPfeEZz1Y92s9NitjPfqKXT1L+lc9rvtXPdpiWj0KQ1893DdRPUb5WT3in2o9a8puPZ/yeD3SGYI9wFaBPfWOcD2JFmQ9yHFZPQsmbD2CzWY9QClfPVRxXD2XHE891v0/PcYIMj2VhzA9hTcnPV5/Hj0OfiQ9M301PbfUQD2zOEM9DshDPW4QSj0Shlc99plPPY7bUT3mFFY9C9hoPTN6bD1nc1w98+xDPVlAQj1likA9GJw6PX7OSj03nVg9W11TPRsAST2CjDk9098xPeeoLD0lsSQ9BDEfPdKhIT0keRM9TjkLPfiPCT01SwE9Z8YAPe/sDT0nsBk9F8QbPfGKHD37zRs9EogQPXuNDz3nOhA9hpURPRzDEz0WUR49dlcXPZ80Iz1v5DM90FEhPYfbSz2Jzlc9RVKuPZLoyj3brVs9nqc6Pch9Kz27BT49y/S9PRAJID5/lSc+5MUnPmgOKj6Rlis+UhgvPgaYLz43qCk+llQsPoNIPT7Hejw+BsU/PjlTOT45eDA+xQJDPnKWPz4EnEs+16hOPpZ3Uj7MFk4+gcU/Pn2rRD7IwyI+g1AbPqxxJj4mK0Y+EVtbPvuTTT5b0UI+h3RKPtkYaD7ajYE+ubhqPs06Yj4YS2M+rENYPv9GRT7eUUQ+AGhFPh37UD6y7oA+gppjPhRXTj4gFlI+voJOPtufVj6s0UY+yIlAPvzSQD6OD0c+W5Y5PmjJPz4B8ko+MOdGPiLnQT5fykA+fk5BPrkdPT65Rzw+obNCPi1LRT6yOkQ+Y0A5PtgQOT5mN0A+Gb1GPvNIPz4j00E+JgJIPuHYUT6MskQ+LEA8PsgtRT4vhjo+AeY6PrcePT7OoDk+1G5BPgo2Pz4whEY+T4pBPlzKPj61bEY+1a1HPmOOUT4nHjo+kn1DPokuSz6bu1Q+4KhCPv84Sj6rgUo+72tQPnvMVT4WfFM+NL09PoX0NT4cGTk+NDE/Ph4aOj5fKTk+wMI8Pu2VVj53R0o+Gx0rPpY+ID6Vcjg+ubM3PhA7Jj7n4Cg+qmEsPt5dMD7TOSo+b1QwPh5kNT4lPCk+V0ctPo0KMz4QWzA+/v0nPjlvIj6iVyQ+/KY1Ps0UMz4gIDA+Gn0mPq7kJD6nrig+6agvPk5AJT6oPSI+hOshPjZhJj6VBCI+M/YmPq3aXT7zKV4+Rv5TPkh5JT5J9CU+U9YlPr0CMT6yxiQ+HVgfPkczJz7tlCg+x30ePtPXHT64byI+ygUlPi5mIj7YVyA+/L4wPnJDMD7AIy0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7a9xj1Tkp49PIFhPYnIaD2rVnM9SEOAPay+gz24m3M9igJWPaX4Pz3GND89ypxCPa2JTD1O/VI9eSxOPbbbQT0Odjw9L8VDPScbRD2b0EI9LzFEPeI8Qj3XKUU93hBQPbyzVT02HmE9VdVrPfcHXz1IgVU99LNUPSvGRT1Gf0c9W7BUPQBJaz1olYE9V3aCPUzOfD055lU9OHxKPVqPNj3WGjU9rt08PSXcPz2rdUc9Ey1MPV+uQz2fVUQ9imZNPRmxTz1CUE891UtGPZhsST224Fc9zZdhPadJZD0TQmg9rLhtPWZvcj1Bhnc98AhyPdfmYD1YNEs9uGs7PUZmSz3StWU99MFxPdkhbz1txWo9eGloPQRldT2eaG0959xwPQ4lXz0KSFU9CA1HPcaiSj087k09mK1RPaWJQz0vQzY9lbY6PZ4hQz1wElw95qBoPVtVZj311lQ9Qn1SPW+MTz0I2Vw9qhNgPSguYj00PVk9dhJSPVGYaT3q8H09kkuBPbmVkD3ag5Y9OryTPRTvdz1Q+FU95eVHPbSAPj0gqkI9D6hXPb5sbT1i+2M9ytBQPSreRD37RUQ92u1FPfLNRD04aUM9QQdGPdX2Uz27mko9EaE5PS9fNz3vAE497FtNPd8YPD3Vdzg96Rs5PVnWMj1DrDI9/9s+PbRfXD0ZnHc90BZzPdWPdj0VUXg93gdvPQRjUT039lg9CixgPRp1Vz0en1M9WFRYPRQAZT2NqG099YBvPQLFaD0niGQ9eBFjPRGGWT1QI1I9RlNaPV4laD2WDog9q1OCPejXWj1vYTM9wiQqPeoYLj0ZTyk9s0UnPfiEJT3foSc985MjPaz8Nj3ttVQ9ppZfPao/Uj2iNkg9GPtAPcisRD3W5Fo92LJnPcmqZD139WU9wdBaPdrzVj0B4lc9dZtXPZEzUj37Alw9JrVjPUUyUz1jrzs98JQvPYFGLj1LcCg9b6kgPTq5GD2T9xQ9E1EUPS/EFT3IqBA9eu0WPRgzFj268Bw9S28iPYRCGj2iLhY92eMTPfoiDT3IVQk9PlsLPddVEj3O+Qo9z7gEPYwOCT2VoQs9UqAHPQJGDD0bEVE93ZOAPWgo3D1bvwo+klEmPsPNFz6VeyA+QaUfPnz/HD6GfSU+CqEjPnt/ID7hnxw+lRcgPhGEKz6QYD8+pnlDPmQJSD4jLTo+dBEwPihDNT4pdjI+FoY3Pni6Oj42WVc+pi9kPl2KSz49nkg+rlJJPllxQj48RUA+hUVHPjOyWz77rVk+aohWPms/Tz6V30I+dho7Pp8GND515EQ+MoaFPq3GeD76wlc+h7JjPo4CWT6LZE0+pKFBPi69Mz6wMVc+P5l4PoEEXD7gh0Y+4xFQPmSebT79sGw+VA9KPshtTj61IVQ+g9lTPqYdRT6sYUI+11RVPjaSRj42Wzw+LbA7PlW1Pj747UM+A9JMPuvYTT712Dg+XGw0PmuAOD4ApDY+g5w0PmLjQz45YlM+F2BHPuqlRT4whEI+X+I7PgbnOT7rtT0+VMo8Pik0PD60Fzo+uEo8PkqCQD759UA+qIpDPvnFNj4ZbTQ+Fqs8PpYoRj7H4UU+ELJCPgh9UD7bWUU+IHc2Pt7qOT7gmEU+gFsyPt9lQj7tj10+SeJjPl61QT6xMT0+J/8wPlTsLT4M2yc+ft8sPhoELD6Wyh8+7j0sPugxOj6qlDw+fvs2PvaDJj4IriY+iw0gPsblIz7e6y0+OiQ0PgIwMj6CqRc+rkgbPjWGIz7KLy8+rh84PgvmNz6fWi8+5S8oPnqiJD6SrCc+bK8xPoMCMj53Nyw+2MorPhd/MD4BkTI+M/8ePjwdGT7Nkyg+pY4zPvGJLj7sHzY+HCkpPvasJD5H9ig+D+koPpLqJz6REyc+YzEfPucjGj68yx0+KRsrPuQUKT6D7S4+xrk/Pv2PMz5LWS4+SwsbPn5ZDD5IRAs+SssMPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9tNdI9EFuePVPnaD0MtGY9HkxkPRwbcz3cnIo9Xf+CPUccXD2j6Us9gmVPPazkUj1VsF89iGJoPaVUbT3xJ1g90a5HPdc9QD3nlTg9UtVSPUiuYD3WI4M9wh2DPYt4fD3YS3I9cIhcPdGCUz1MQFY9/RBUPUEVUz3KyEg9cqRJPZYfWT2sm2I94mxYPbOfVz2tc109dG9RPSLRRj2lfEE9WnZBPTMdVj1gaFk9ddNMPRCbUT0C/GI9LO5fPVzEZD1ic2Q9tFVZPSOsWz2g3Fw9gXJmPYXqaj0+oIE95haAPUPudz3WyGo9CdNLPSjCMj1/Ezg9dyQ+PbfAUz0hfWU9cglkPRYSZj3cQ3A90TprPV2tYT3PW189TJNaPUDbPj1NLzs9vepOPVp3Tz3s71U99FloPbF9Xj1NMlQ9SrFSPcHdUz35FFU9W6JaPZlBVz2npTs9y6o+PfDjST2wJFg9Qp1iPTlNbz0xGGk91WRxPXAjdz1cKog9z/SVPfk3hj0P9oQ9g2KEPWJFbT30GFg9huFJPcnMUj2vKV09xgpaPTbLUz3NfVI9AaJHPQxxMz0BTCc9NegyPWpMPD2c2UA9sqJTPZYKUz3kmEU9IP5PPdCBTz0Hs2A9/gJiPTWbSj37WDw9SiQ6PbY9Pj0WuVo9ZQlhPePxbT1CtH49IvJ4PQCBZD0aOGM9DxVSPUE4Qz2XQ0M9VtBGPSNpRD3Kclk967BoPTq+cj2TeYI9dRBuPZOTUj3Lr0U9y+ZFPbReRj3/+Uk9GgJVPQHtYT2Qr1Q9AYs2PVWHLT0Mkis92tUrPdGyLj1h2iU9/hUZPforJj2oPy49YmM+PUFoRD0EnkE9empCPQOfRD2iET89RSFAPe5RRz3vVlM9WFpWPe9sXT12wGE9tJxaPRtcYT0F/l09fZVSPQ2DUD3jiFo9ATFYPR3gPz0OCTY92/guPTPeKz1itig9qq0nPZzMGj1Kxxo9uGMUPdK4Iz1shSY9w2AjPY7VHT2saR09OogYPQB/Dz3hHwc9XjL5PNol6Ty+t9U8VjHQPL3W/Tx5Cw89OXU3PeDAVj0e/p095rOYPQ23pj29ICw9psbiPLb13jzQCUk9jZQWPhqGTj4N7ys+agodPmlDGj4WRRw+EBAbPrJNGT53pSI+gKEqPtYBLj7AJTs+yaBNPuZbOT4TTSs+4iwzPtJsOz5gEDY+/sI8PnwRZj6h7mE+u6hcPuNNZz5fz2o+kHxiPjWfSz5hfnw+uBloPja5QD477EY+uvFePqr8bT5+TYI+ot1MPm3zLz63mSU+e+onPss9Mj7NRkk+ZKNlPoXhZT4eT0c+S58+PiHFRj43LEM+DLJtPphGaT7DJzA+eaEePqLnMz4NvV0+/gl9Psg7UD6NXj4+Ek9BPjEFQz6pHDw+zmY4PjnYRj5L61A+JI45Pk1sMz5czTA+Y3Q8PrfwTT6GR0Q+QDooPu13KD7dwio+npgpPip9Jj4XFzw+bHdRPoiAPj4XWjg+3SUqPhj5Oj7dokY+V646PuH3PD6m0zY+NCYyPvWSNz4s+zg+hTdAPoTxUD77G0E+A1RAPjrZPD5UBjc+jKcyPp6EOT4tB0A+t+U9PrpQNz5d8zM+zj84PkoWOT50zjg+uZg+Pr6iLT5h5Sc+6rNHPk/hOT46Iio+rAcjPvflIz6eRzI+t+8jPvkcKD7c9Tg+UW43PozlMj6BpC0+1UQnPnynKz4cYR8+YfQlPtroKj6jeys+WyooPtr9Hj6TBBY+CwoqPubpND7UoEA+krkjPhgDKD7ZsTA+EHYyPo2SNT7AaDc+CzIoPnE1Gj5WrS4+g+M2PigQLD78dig+dnYtPg7OKj6d6iw+JkQsPpN7Nj4BQzw+1NZBPrNqUj7r8Ec+dko1PhPdLj5GGyc+ACItPqgwPD4C7DY+MSRMPjFFXT4H21M+qj9LPuQuKT76bRU+MuMQPn03ED4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/XGXFPW7/gz0Q+249mu18Pd5Fbz0yPWU98jVRPZZHUz0KpGQ96ZVYPfG7Sz2Lg1Q9icZrPdY/XD03Xl895yhaPW9sSD1UKEQ9atRMPVOMeD0HInA9FhNoPYjqXD3F0Vk9Q3JgPTRxTD1S5FM9k6hMPTwkRz1nw0g9dhlIPSXPQT1bKTc9PD9FPdzlUj3BRUU9YfFBPZ0jRD07xEA9PTRMPSYwXj1qFVo9SfNXPVqnXD1e4Go9SI5hPRCVYT2HdnM99gtqPe7+Zz2g+WY9h/V1PTSggT1fioc9HK6CPVi9gD2bxG49Eq9aPWT9Tz0YdkQ9mFdCPXzITz02QV894M9zPfAyiT00g4g9aGd2Pf5WZT2aLVc9iFVCPcC9PT3vY0c9TF5RPXyPYT1WE2Q9Yi9YPYxqUz3rpVI9JPtAPSf9ST3F3EY9bKJGPbrTSD1a3lE9evdcPZC1Yz3YeWo9V6txPRamdz1KioA98JeIPbK5lj3acJk9pQmbPdOkhT3JRXQ9q5N2Pbhzaj1kJ1s9oopZPaISUD039WA984BjPV/AVD17FU895ZpMPWnJRT2PpUU9H1FMPep+UT0mGFg9SpZgPdNFYj3KxlU9LxRMPRi9WT1xwl09ZKVJPRhdRT2/Vzs9Rdk7PYC/Qj0o6VM9fF5sPSJSez2kxIA9pjt4PQ0oTD1WRTc9Q4Q9PQrcRD0JF0o9noNYPbxfXD0d8FY9keJdPSHoZT2NNGY9bO5XPfvhQj20gDQ9AIw2PWmdNz1AakU9swhQPd5SYD06O1k9RKdCPUALMz05+jA9IEg1PYcyNj20VTA9R20oPcpFJT3v7TU9hbdBPRjcST0onkA92xQyPfzPNj3aljg9efM5PeZ9Qj0xuVM9qCpdPS6QTz0wilg9TD1kPXhpaj1+u2A9gxRUPZc4ST2AhT89sLc1Pe8TMD18Ti89tDszPdsaQT21SEU9X8U9PdBiMz2C9zI9dTsrPUpfIT1z6SM99xszPWevOz1dAzM9nkkuPRzDID39JhA9/08FPYo69jwdUvE8k1LpPHzhAz2+KBs9U2E2Pe08sT2dgMI9/kDjPZNx3T0B96M9FaWwPQYyJT6ZqzU+yI41PleaLz4ApyA+/p4lPoAjKj7GUCw+NJ4xPqymNj4uqSw+EJAsPjiuLT62GSw+Nr40Pi4fOz5fWTQ+gq43PswMJT5pExs+hp4uPop7Lj4ZYCs+MA44PmrWXD6tL3A+Xed9Pl6ZaT5dLV0+BfVTPq+zKz4NETo+rrw9PrSEOj6laEs+9ZVgPpB+Qz5QpjM+3VU0PmjpOj5rOzo+9yc3Ple0PD5XZjU+NAQvPmNcMT5XaEA+26I/PlmSYz7TV1U+Ygs4PnvOMD5H0ik+wf0wPtTSaj559FQ+jO1MPk/QQz7pBkI+MxU6Ph7/MD5rzj4+tBVJPhUEQD5wvjk+lVY3PhWbKz5DJy0+WZcqPmHLID6FdiY+Ci0pPtd6Nz5TfTc+di43PnnVMj5JiSs+WpkrPt8hLz6pQTw+rqc1PsJ4OD6Eljk+lHc3Pi0zOj5YmjI+EP4oPktCLj5CZzA+wes+PvuiPD6Flzc+B1oyPvfiLT5XeSk+Vu8qPr4eLD7Wzyc+rF0rPvyePD5kEjo+ZworPgPQKz7I0js+80dDPhA1SD6exy8+72saPi7GJD7SyjY+8bw5PvIWIT7CqCs+nAcoPlWAFj72GxA+AtIkPiZfLD4olzA+wdorPgp6Lz4jyiw+a5QvPrevLj5lMTQ+oVY4PisANz5C1To+9VQ8Ph7LKT4fEiM+p0I8PmVqMT57kzI+bhk2PnzIOD4sWDo+8NswPsZKJT6M7Tc+aRVIPuVlTT5AG0o+++gzPtS/ND6deEU+KeFBPtO0QT7fzjg+7BotPireLz6b0Cs+7E9NPm+lTT7GkkY+/ec/PtGkMT76SxQ+EossPgXDKj5nlBg+1HoPPglYLD5HGDM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/9GI49Mg6APc90gD32z3o9wK1tPQPrYT2GdGA9OdNxPaVQYz0iMFI9qypOPbx9Xz0AtWY9wfpkPaspTT0M+z49q1o7PU3FSj38V1s9ToljPQUGVD0r10g9LIFBPaKKQj33N0Y9PW5dPR29Zj0Y7Gg9eZlhPX65Xj3aTVQ9iIdIPQROTj2uBFo9cclMPSXiRT3zz1Q94ytTPecnVT23TWA9CLtdPVi/Wz3WeF093I5jPR3WYT3Pk2g9SYKBPa8Hgj0ozII9ISqDPWzYeT0MyHM9ah9uPQ20Wz2FrVo9AqpfPe1cbD15j3Y9ikRsPSKAXj06VXg9r/pzPdT1bz11knk9q/VZPUUJQD05AD49/ZdBPcBRQj0/nUM9hhlZPdXkaD0y23E94RqEPf+uiz0bTGc9VE1NPelnRj38VVA9vd9UPfh4WT3fzmA9w2NlPRpOaD2RAYA9s2GIPezQhj19HIk9oyKGPZx2gD2uSYA9UraDPV1EhD06K4k9m+h/PRDlXj22Rk49V0hTPfrGUT02k049BKJDPSUFRD3Dvko9F7hWPZLoTz1rKks9dVVIPQIGVz1lGFw92X9dPfJ2YD2XGmE9nclhPa5OWD2h9lc90T1VPQW3SD1V8U49yTxTPc4VST1ovFU9xUhgPUnJZT2Ju3Y9GVdxPbTbXD3JCUg9tS04PeveOj0zBUs93EJOPUGKUz1C1VE9/hBWPcCCUj2jeUs99+Q9PTOVOj3x/zI9UOY0PV2qRT3vwFA9dalWPVe6Uz32Ylw922RuPboOVz1Z0T0956k2PclBPT3wSEQ9cAVGPXuHOD3QITg9hjJAPS8XQD1gU0U9jGdOPZ0aRD0KpUA9v8ZUPaq9Uz2FuVA9GOROPfhSST3lDFA9NPRjPQ13ZD34eF89j/hLPefxMj2i4jA9amcyPWYBNT1HGzQ9SrY6PcrCST14d049xVM3PTQBJT0FmSU9rDYoPWYtJT2M6Bw9+LcZPUcNHj30/Rk9j4QYPdj5Ez3vhAw9anv3PJB41jxsiMQ8P3vEPJnV2Tz4awU9cNEWPeJOEz1+4i89dgwzPZ4PNT1TGSs9l5ElPcqksz3X+j8+Tvs4PgXhMj4nqig+4l4jPk+7IT5AxSw+zL5DPt8aQD5jbjg+k3A8PqmgQT6tyC4+SvkvPiR0PD7PqkM+/UQ7PjzLLj6PWTM+9pQ8PqOORD6UQDs+4yRCPqUPcj4IdXU+GK5mPnNoYT4XGmA+9d9XPkGYOz7zGSc+tI9ZPsMvaT4S3l4+fnRPPrmzSj5BkTY+2MExPpCdNT45yDU+k+ouPvFPJj4h2TM+Wx8zPiQ+PD6E2Es+A4FRPspCYD6q9oM+KcxRPvloOD5AFkY+RSZLPgUcTT6mYE8++804Pn/XNj66cjs+0e43PidZNT7yojw+i2A/PoM8SD62n0c+UEE9PpiOOz5adDo+OKc8Po+0LD6kTCQ+ziQoPgryJT6y4iI+SuUvPumaNT4niDk+wUQ/PsPwOT47vTc+dpw4PivqNz6AqCw+EdwtPuB9Kz4cQzI+PQ05PpNILT7oGC0+8b47Pjj0OD76ljQ+kzM3PvIOPT6ZNzQ+G/sqPsv5LD4TsSE+DNMgPuRNQD6B5VI+/ClKPqo2Pj5pZjw+mGw1PhD8Hz6p6Eo+6PRBPotLLz4OJCI+bMkbPmC/OT5NyDc+YokfPq+TLD6YmTE+U+Y4Pg3ELT4YYTE+De44PkGDLz5yYC4+cPkqPn98KT5BPSs++ZwyPnYdOz7z2zI+FUgzPtyPMT5tmRY+yxArPtplPD6MWi8+voQ6PpHMPj41wDY+72E6Pnl+Lz6UviQ+/OVNPo1zcj6uPnM+16RhPvC+Oj4yKDM+CLQ+PvniOD7ScDo+84YxPpFhJT41Zy4+zCsXPrL6IT76yjQ+/xU1PkFMKD7FYRg+qhsJPg6h/j11Nh0+nL8VPjWBCD79fww+igcPPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/eBqQPX6ogz3iGog9Y1SMPQm6jT3SgIY9+mKFPS8Xdj37B3M93jqEPVEBhT0wGms9Jx5VPQk8Pj1ZpjE9tVY1PUFaRT33P009aUNUPd5pTD0+mVI9wXtTPYZPSD2HaUQ90GNRPWGKaT0gMoM9yN+GPS8QgT1XA3Q9/yxbPb/tWz2mZlw9P8hbPfBeZD1oHUk9x9dHPXHOTT1mk1I9j7VnPU9Eaj20g1Y9JXhWPWwyWj2csmY9mzuCPdREgz2UIWg9O6FmPXLFXz1tmVA9HLlWPSznYD1P/3E94F1yPd/7bT11OXU9F5R+PdZIfD1cKnE9+QJ4PaYsbj02FlY9soBFPVBqSz2WN1I9v5FUPfCAXT0e5V09JPZiPdf+ZD1ItnA9hA9hPZvsYj1eCGY9T0FPPeGZTT2qtVQ9yp5ZPXAqXT0TO109+phOPVrHVD2bTYE9h/aGPeQ7hz0GL4k9c1OQPaPTej2yink9aRl8PcAJgD0VbHo9kAB7PYwkgD1giHM9/bpZPTwWVz16aVw9ji5XPfuSRT3O5Eo9I/VMPcr9WT0oQWA9I6pfPWEjXT0lJWM9r2dmPV3ZZT1Om1U9HOVVPZIEWz3J91w9CW5UPQrLSj09q0I9qFRWPe95WT0IGGA9j0xpPf0aZj0VGFc9hktIPbmfSj2rBVM9vrZMPZf2Qj0udVE99qtwPSy0gj3NN4M9PQR2PVW4XT2VqkE9aHM3PUIKPD1jyDo94PMwPWZmPz1+p1A92MRSPe4VRz3jO0w9V6JYPfAAVz1kO009nhdDPQN+SD1Wnkk9UQtEPRSjPT2vtUI9buRJPftKVj0RwFo9+tFSPVoBSD1toz89vJk+PbE1Sj3byUE9kj89PetJOj1ZtkY9eZdhPcjNWj1o+jo9geQxPSkiJT0zACw9i/Q+PV/jQD1i7jM9XugtPVlCJz0MEyc9RiQYPSmqFT3dIxE9qjsRPer0Ej2evB89puofPSUEFz3FXxE9haAKPcxUCT3qIQQ9+WriPHrwujznCrM8X+HEPBPDwzxnack8pY7ZPLMa7DxLpfQ86B7ePCWjDD3Yyjw9CpmQPYD0TT0oqYQ9HaIqPlC5Lz5yljE+XT83PgxkOz6czjE+LjZAPg3nTT7Akz8+BoU5PkN5ND4OfC8++VgyPgPQNj4bHD8+EDBBPrJiOT4+ujg+ZSg8PgFRNz7sl1M+fmViPjMHcT7ST2U+SX5tPtJOUz52xD8+p8VKPlztVj7KkjI+z/49Pju2dj4jJXo+NvlkPmxlST7Jl0Y+AzYzPnJ1KT7CuyI+AiQnPgSJKT7lyi0+qj45PuO6OD4NYEU+E6xDPt+RQT5n0UQ+kIpTPhC9Pj4yXTk+SoRMPpbaVD6XZFs+UgppPr8DTD7jhT0+hUhCPtJ/LD6wQyo+BXIyPnQiMj79vy8+n/stPoB1QT7yukA+SowwPkyTLD6zjSI+FDcnPlVMMz7LCTc+qMs0PiAYMD6EczM+NFs0Pp/vOD7Kkzg+rjA2Pn23MD6TMDA+rDM9PjfANj5xHTQ+eEkyPkJAMT6AmTE+GJU2PvrWPj6BND8+38w4PivuND6NEjc+wQEwPlrXLD69JjI+XBEvPqg7Lz7y0Fc+NRtoPjkQSj6EUTU+cWw1PkejMj4klCM+16w9PtC+XT5TDTo+AUkoPt4fJD4myzE+hBNHPqbuMD6Mey0+Hj4uPsmaKj4Z+iA+iNccPtt4KT5qVyg+rWcyPqBlPj7iOj8+kUUoPgY4Kj6kFDY+J3QyPk3PKD7xQCU+Jpg2PrkeND6CuSw+wSUwPkx3LD6FfzE+avoxPswcNT7pZR4++RQXPpkRJD62Jzw++wdGPmwAXz5oSz4+AL0tPhcrKD6ECSg+NCkqPhjtJD7H0Rc+gbobPh0QGD7tcxY+5/MUPiqiFj7WTBY+9PIPPuwBAz7VkP09sKkFPrZ4Aj5T3PE9djEEPjfACT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf12PlD2oK4o9qf+YPQ6klj2w7I89VFaKPewOfj16mWQ9KRuAPS8+hz2rBXU9/IxePd7XQj0FCjI9aho4PSszRT0gNUk964JJPa11Sj2ejmc9qMJ9PTbmcT1+TGQ9RYlePQ9FVD3w3Vg9lVtzPfx2ez0KfnI9GkxkPRiiYj3xl2Y9h3Z1PWBOdz0GR349ivpwPcoLbT3hrmA9HDNcPdmMYz3+tmo97P1nPW5vcz3ehHc9lEmCPXKsgz05CGc9idhQPUDzRz2HlEg9qolTPUBgZT0Pb3I9nC6HPUHKez05lHI9n0BkPZ/IbT1Pinw97LFfPRMTVj2Nb1E99O9LPQo8WT2VNmw9MphjPYR9dD1Rm4A9ct98PX/wcT1EvXU96+Z+PZndZz2OZFk9VwdbPe25Vz13oFU9J9FMPUtlTz1HH1s9ZP5fPfAtZz0FAmM9xHeAPbwBkj0404o9GMyCPcl3fj25m4A9U7iHPVMfij2E8YM9UWJ0PaoNcD19dnw9/txePct6WD139GQ9jPlpPemIaT2NlVk9tctcPbCBeD1PxoU9r+KEPRt3dD0S0Wg9/6RqPVvNXD2jFE49x9VGPd0LTz1L+Uw98HtFPfrORD2iyUE9zgVHPakOVz0gxF09VL1fPWpvSj1nn0M9K05SPTfkUz0a31I94D9IPboTRT2tmks96N5VPUlDZT0NEnc9YYBtPSIEVT3Blkk9eKtGPYdWTz37hkQ9undGPXlbRT0eO009vqtjPRpraT2vsVY9dHhPPatoSD1gY0A9kd9HPd5CTj3/Yko9qtlJPRJSUT2mIFs9qvhsPSZ/Yj3EqGM9Cv9oPTkVZD2KvFU9g+QzPf2XND0MuDU9KMIwPQBXMD20aD091+dTPehDUj2H7To93BguPQP4Kz1ImyU90n8oPcX2Lj1oqSg9cCMuPR34KT11sic9uPYkPbobGD2hbxY9J9YaPXqvIj1OhiQ9sLQoPZuiIT3QOws9cEXxPJO6BD29tvk8uavrPJ6KujwMkqk8UvezPBIC3DyM4+k8qNLtPOvB6Dx4Tuk8bZIpPf6eLj2lENU8kWDJPD1v9jxGZzU9sKK5PedQUD7PdzM+wV03PrNIMz6taSs+q3ktPkUnMj6jKzc+YdwtPoN1Mj7gLTo+KRI5PtrpOz7oiT4+oTZGPjcnQz53fEI+9yA+PnlzMT60pDE+V3p2PngQjj7i5n0+IAhRPhYbUz5tEj0+fZM0Pv1KQD6gaE0+oec0PqBRSj5DVmw+OEtQPh/NQj47hj8+g6g+PqcCOz4soUg+rsdFPnXtPD4yDjc+1xY3PkUXNz6UTiM+vytBPvZZUz6KQ1Q+xhFDPvluSz4y/jQ+i1Y0Po4+RD7dolM+T3hYPgjOYT4xXUE+bRU8Phj/Nz6Tvyc+NhomPrvVKj4vBDA+LL8yPm+PNz4K4zs+5T8zPqHhLz65pik+jUQkPi2JLj55sjc+9SxAPvZLPT520T0+UGRCPrnYMj7SIDY+bFQtPl1qLD50GC0+KEg2Pr95QT61Hjo+Xck0PgRAMj46ozo+tqA4PjJtOj434jc+juA/PiEVOj7q9jo+Tc05PjTFOT7aaSs+PSpAPvTdQT44/Ds+CJYyPgk4MT7gnkQ+GYc2PsbpOj6N0Uc+h4RBPj5AOj4AhWk+ZCY+PjYDMD7vyi8+Fj4oPj1POz5FLjM+skUxPuBKND66dzc+dnc5Pvm5Lz5dYSw+myouPo9jNT6WFDI+ueAuPp+KKT6bwyg+1Pc8PjvVMj7QEiM+aHojPv3eKD7fxDc+crEyPmQyNz44ijI+pKokPmhgJD516yo+WugpPqbdJT5sfhs+C+E/PpTmRD6H0FI+3Z1hPjsGRD4NNCg+88owPguuQj7z4z4+1sAsPi/JIT7I8CU+Wzc1PhG9Ez7P5xU+zGgdPlOvGD6xQAI+80wVPs/6BT7KDQo+mEsWPmgEOD6dgEI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/cCIs926GCPcfjez3OoGo9Pu1tPeiHbj1td3w9ofqHPW6Ahz2gy3c9xCtlPSRWXz3pn0490p1JPYYsSz12iFw9lrBkPUTMYj1NgGI9eNdnPYlxfj1gL3o9je1dPRyRUj3/VFA9K2BLPTACTT3X70M9/QpJPRxhZD0nC2w9NUh8PZrigj08Q4U9AZGEPSBnfT3emm89y3hcPT+UWT1F6IA9TlWJPfZVgj0FoHY9Ei9wPUohaD1It2M9KMpUPbzaVT06s3E9xI52PaLrcz35o2w9Ayh3PTZPbz1nrWk9IFtpPceGZz0UkF49UnxQPQGONj2TclI9VY9aPfi/WD2L8WY9E3N/PTKVdT1e0G09v3FnPYW+Yz1VKmw9lf1rPe+6aD2lLVw9K9BYPe0RTz0OeUw9t6hUPVi0Tj1vdUw9dYJuPTrJgT2et3c9C9CCPS41jj2bzIw9P5GKPd6ZiD3ZFYk9HGiUPckWlT2Z8ZU9N6mJPcqldD1kDmw9vyhgPWMrVj3A9k89HixXPTzwXz0oF109zHNZPSjrXj2YSmc95p95Pf/xcj23/Ww9BZZ0PRHcXT2VC0o9CG5DPdQgPz0ook49bWpPPWn3Sz3T0ko9PltVPSvhWD3f1lg9H09mPTx7WT2n7jY9hhsyPZV7Tj17rFI9TJNnPWXOZD3oxFQ9kXtRPZD4Xj2P5149ylhUPeNiUD1lPko93CpQPe1DUz3t/GE96QxmPYKOaj2it2c9AUxsPZTlZz3M80w9nBA8PXs2Nj1l7DA9iy8qPbADQT2Gn1I9k1FJPYFLUT0rMV893z9wPaZldj3leXg9qmdzPe0NWD3D0ko9N2w8PSWYLT3CkTY9RcQzPUoaLT1CWi493uA2PeL3PD2s1zo9dFcyPZPnKj2fVSY9bQMlPd6GJT1KzCc9oNIsPd1oMz1l6Dg9ZkA6PQknOD1y6Cs9+bodPaBmJz3kpzs9kxcwPapvMj1P8Sc9IS4MPcjH4jzrNtE8gkm4POuDszxqP6k8FZ+5PHHRvzzY8uM83pbIPNuV4DwZMjQ9sQ3LPXK4Nj4R0Us+uFfUPX6FlD1YUNg9qT83PuObRD5sP0A+1+shPkYMKz7Tyis+x/4iPoUbNT6Yxjs+xfFGPkzpOj6llT8+CFVNPn8AQT6VSUE+zthCPoRHTj50208+qxVFPoCAQj4n+UI+oD9LPpFxbz6mp3A+7U5PPpuTNj5PEUU+TvQ+Pjm3NT7t/Ts+PR5DPm0jTj5JR1w+wChLPin7PD6wzUc+XIdJPrncSz789z0+s+k7Pg+TND6Y0Cc+fXglPlrdKD7qKzk+++E+Pl1DRT7Z3zo+QKRCPh0JSD766lI+gKA8PsH+RT7mNVg+SQJKPvgeST4iyVQ+blxBPi2/Rz5q4j0+12Y2PotBPD5pkjo+ho40Pji9Nj6JyDk+dJg4PgIuNj5FPDI+/80mPifNLD7HVzo+cPYtPjv0Jj4jTS8+fCU/PnHUNT4Y0DE+Whs6Pm0YPD7lCDU+iZUqPnMsLz7z3UE++3E1PqIiMj6oMDk+heE4PtPRNz5qLUE+x10pPmaiOj46ljo+LMQ2PvQUOT7Wd0Q+GRdCPhS2PT43zys+HAAsPlMRLD5fCTY+ihBYPgn6UT6Ntko+iABMPpypNj6+KTU+QWVpPo86RD5QkjQ+3GApPk75Jj6YvCg+eqYsPpbjNj5xTkA+0blAPkjWPz6ibDU+mCpBPu5sSj5Dkjc+je01PtgFOD7/Tj0+eaErPsUXMT7RY0E+l7NOPqdWLD52rSk+UeM3PoslLj6C3Sg+S7MnPlZbRz5q0Ek+0SY7PnHGLD6HDic+UXAwPhk3OD7wNj0+SWROPpGWaT7d71I+bpUsPmmzOj6UmDI+tIctPrcrKz4OBCY+nD8yPm/sMz62xh4+14AwPoQOST7IDCc+slwkPvGjQz6VlBI+5SIaPvtHHT4T1yQ+FvMmPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/H8qPPYjudD2W2mw9pYp9PWyDej090HU9k457Pf3Ghz0vb4g9J6WAPbRDZz39X1M9HNJKPZrIXD2TJF097dZoPUgRcT3z2Vk9jkBaPVjZdT1Nq3M9/y5sPfYMYz3KM0s9COtEPRp/OT1HykA9JIdIPeKfSD38KFc9Bw5vPc93bj0NHGU9F8haPaFZWT3oSXc9VLR2PQUwdj3i8nY9XRR5PW2Xbz10uWo9s4VdPXgsXj2WpFk9n9hfPZ2xdj2cQoM9NWaXPUBTkj2fR4s9WGqJPY+1iT18ynQ9uXlgPTA3Uj0r/0g9CGhCPVgSUz3VLkk9SYdEPV7IVj365lg9NzpdPUjjgj3B8oM9y3mPPV2TmD0IOpk9moWEPRf2aD31nGA9EQRpPYi0Yz1HeWc90dNqPRGsYT0W01g9qSBzPS5mhT1KC4k9vgiJPUQWij2o85c9JwKXPSyNjj33HYs9v7iKPeaCnT31Roc9g3R3PVFKZD3WgVI9oq9FPSBpRD3WN0I9KcpMPTPIUj2uQVg9xFVcPXwEYD3kXWk9vs1hPZp3Vj3HSko9P0w/PWBHQj2pyk49EC5FPZteNj3FxEg91HJaPSWwWj1xNVg9pNpSPQKcST1IpUo9DSA9PekBPT1hvT89/JtBPXqeQT0KG0I9uitTPfsKWj1Ny1g9ddNKPTLdTT0082U91elpPfr4VD26mFc9N/xYPbHwTD0TuGE9F29ePSiicz26nIE9P6xwPcDVVD1e2E49XA1CPciMMj0kSTQ9laQ3PXtHPj3IrVE9TdliPSGGcD1C33I9PDR1PRgXbj0iV2k9A2lgPVF5MD123Sc9SCQwPRh6Pj1nxjw9F1A0PSsjPj3sYDs90lk1PQ3GND1VrTA9b40rPf7oGD0uMhk9IhIfPZJ9ID3VGCk9rG82PTj+Oj1XoDg9CC0qPS3eJz3XxCg9ZPkmPRyTMz3C1lk9FXtfPe+YTz3gMFE9ArFHPSHcDj3MStM86We2PENklzyAhpM8ZbyLPKT0jjx5lpU8W1+pPAcj9DxbDVs9zV3fPWQHZz7/AVc++lIqPkRSJz4R4Dk+Wzo3PrbMKT7uAyE+V7AmPhahMT6Sijg+hCY4PjncPD5vz0k+jLdFPgTwPD6nIzw+ZHlHPu29Rz5XKDU+BgdBPnLHVj5Gv0U+Q7Q0PtCiPT5GUVo+KVtDPjbfQD5M0y0+kWk5PpTZSD7eMEw+hk0+PtP4KD4dLTM+0BwwPorZLD50KUc+NdtLPhAKWj4vnUs+T0o2Pp56Mj6oYj8+js44PvF4Nj7W1yY+OSIvPnqZNj6beTQ+D80tPtpjMz4ctUg+L0xBPjynQT7ylUQ+ah5WPofvWz4LBkc+DWJRPh+vVz6aZFY+VMtWPqO+SD58kjA+6GEzPiHuOz64Oz0+TT88Ph56PT43/Dk+uoE4PtxEQj6kyTg+rl81PqUDLT7kQiw+A5YwPuQKMT4P1ic+fd4vPjnCMT5mrDI+YiU0Pj1oMj7QnkQ+/Y01Ph3+LD7ABTI+xXw2PovSKT4wzSc+BPosPsiaLj5+cCk+p24wPj2SIj4KVzM+GTY5PhSjMz7y+C4+2Yc3Pj5HRT6Cgjg+Q+gjPucIGD5y9yA+JpI3PnGfMD7VciY+KVM7Pk3MNj7QUi0+Ia4qPlAiRT6h0jE+zQIzPgYBOD5J2DY+ZXsxPqYhID4nSSc+wi43PuLtLj4ALCc+9RgqPp/UNj4SRk8+QiBBPkghLT6UkiM+rXkkPiOFLz7QDC0+4Wk+PlEhUD7bHUc+Gtg4PjDMIT4tJyY+NTc3PuUmUT6ct2w+eAhPPkxjOD4GUD4+wlMyPmoWPT5PEGA++zg5Pt5nMj5kiS8+AoI6PqD9ND6WSSc+UagpPm1+LD5sIzQ+oK8vPv/hNz7w0ic+09VCPv02TD6Z0zQ+TjE4PvJbND7T7yM++D4pPsNTJj72nSE+B0EWPtETEz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzkpaj0JMGk9T8qBPcTciz1Syo49bPGRPZ2bkT32xYU9i4xyPdOydj2gtmc94j9kPfNYZj3W03I9B/B9PRDwdT3t+l09bl5GPUdUTT2CZWA92YJgPdfEUT1VBU892pJgPWAaZT0w6mE9fCFZPVrJYD06D189B2JMPdQkSD3h1k09SSJaPVr/Xj2pTGE9diBrPUiwZT3YpGM9YKRlPfM9Vz2sbFc9GpZoPQw1eD1T82E9zyFgPYrldj2r5Yc9Jt6IPchxeD1Cm1Y9g1xjPdZTdD3+yWs9hHBvPXhlXz2ozk09y2NMPcfKRD3R/kw9skNXPbLrWD3nPmU9Q4lsPW1JgD3mLYg9Uf2HPaZdgz0o/YI9ooWBPWzCgj3/V3I9lWlgPen7cj2iN4Q94kN+PT8edz0BxGY9phVsPUXqgD2cl4Q9ChmMPaTHkD0nK5Y9ZKecPZQ1jz0giX09ob9vPYC7Yz2Z8Vs9qBJrPaQjdT1yQ3Q9kDp2PVgAVT0f5lA9/GhKPYnnNj1ZGEA9m+hlPQ+KdD163XE9KNdqPX1rVT3Xv0E9jBBLPcaxRz2+akg9vIZJPR4QQz1BgDw9r6FOPcrMWz3tDm09J2ZnPYFqYD1w3W49pT5sPVQQRz2pJVE9ck9OPeBsSj3J3EU9h7w0PaLXPD0DBlQ91ItfPZSxaT0uh3E91XdlPZdtWD1py1Q9UntUPe7qUz1LBUw9NIVbPZY7ZD0RVVk9ehlEPRgbNz0Y6DQ9XY1KPSj2RT2uekY96elPPadzVD1LW189zwRVPcWoZj1dKHE9iWZqPSjcaj0s6ms9bapHPQtGND0QqC89MW05PZBgQj02M0Q9GIdLPeOsSj1vClA9AgpNPZ1jPD38BDc9mwckPVgWHT33fhU9jl0TPanoJj0q8Sw92u83PQVSQT0CRy4978ITPZzOEz35FiQ9YBMlPRcrOD1EDog98fPOPcJ5Gz5Fkjw+DwZEPkdQSj77ayc+d6OzPaCgzDw8LXo80317PAEJiDxFsKc8e5S3PKhR2Dwi45A9/CrmPcF1Mj5/GYI+2gVCPh3hID6tFyk+PH8zPmbiKD5/6CI+Tqo4PnmNRz5S5zQ+064xPlyENz5ySz4+Ys1FPucZTz6lWkI+WBM5PpZOND7EdjU+BINAPqFeRj4YdkM+ONAyPg9nKD66KD0+bdVcPrzmQD5sXlM+NxpVPkNVQj4xEDs+V4AwPqclHT4JsSg+Qng3PveyOT5/YDs+/CRCPvkVZz6XFVE+y9NaPi4qVD7CO0U+Or5APnT1OT5yyzg+/+g0PrP3QD4ZtzU+kQguPtdtIz4a0DY+HP0zPhHjKD6wbzk+nWNEPlpdTT52VDw+4Vk1PkRGPz6mvTk+czJIPlzlSj7LqEE+NyosPkkdLj6T6D8+WJBFPrx+Rj4WsEQ+U/hEPrD5Nz49HDc+JKVAPm6OOT4IPjQ+hLsrPvFfMT6IdDw+7mlIPpB9PT6xxTA+qMcaPv4xGD5Wczw+Rf8+PgK7Nj4l2Dc+txw2PkbUQD53Wzw+UJYpPqKgND5yAS4+MtcwPiWaKj4i4Cg+GHsvPlliNz622jE+BoQ5PjusPD4RlEE+aRM7PvzYLz52rCo+0lskPoJIKz7Tui4+1/U9PtDRMz6TrSY+6hImPverLT7mFio+Sss8PsrnPz7Pizc+jeUyPgEtFT7vszk+afw2PpCjJT6BrSc+0oIXPjndFD4XCxg+GF8iPoOdJD5JBRw+5kj1PazK6D1RDfw9Ow8lPgLxOD4a7Tc+/M1BPpJVRD6mUU8+byVMPqz5Pz5s4kM+gxw+PpSnOT5bwz8+dshVPijRSD7qMT0+zZg9PgNtPj4Zxzo+vpsoPu33Kz6kmTQ+YxMtPgFeKT6jNS4+bZsrPuZgKD5KQSY+0GQnPhKfNz5jtS4+5/UtPr1TNz6sVDM+tSw+PoAbNz5g+DQ+PVszPn+aMz52OjQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8TZrj326qI97xByPbWwfj1RFpM9SPGXPWUPjD3bQIc9AIZyPRQtej0znnQ9yzZjPUIVYj04jVw9OV9iPV4FYT2dGFA9NYJJPfDyRT1YtUk93DBRPbsdYj1hwF09MuZlPVLqbj2xOGU96bxePSk8Tj2rrVI9/NZkPXtOdD1fZ3w9RCN2PQFhbT2RKWE9CudsPZuicz1Pvmk9qo1dPXpyXD3AIFk99RphPf5cgT0buYc9EDqBPSRGcz1cJ4A97IWIPbPEgD0ieGY9PJBYPXtlWj1myGQ90lZiPbVlbz3FrWA9+PJMPQ8mQD24DkI9NmBNPSYrWT0yKHo9GHp9PdLscz3tqHU9tXV9Pbknkj24BZU9xYZ6PSYxYD1lzF89lxVlPe11cz2FtoY9tq95Par7Zz1aHmI9gfZmPY7zdz15Bn49PC18PTmQfj38BI09FkOQPePnkD3UnIc9zM1/PfL4Zz2DFWI90elkPSZweD2Bbnk9NQZmPdGhVj0fI049PqNMPTHPQT2UW0A9o3VQPX8BZT1Fkm09ADtYPYtzUj1HIEo9iwBWPSxJVT1bDks94phFPX6JQz0MkT49orc/PbyAWj0XBHI9NW5wPWKncj0fZW49TtVnPQ7zbD26a1o9uPFLPS7UTT3kG109bUddPZbeUT1I61M9ja1hPUNAYz112GU9SuRsPc6SWz0f2jo99mZDPcPFUT1V0lU92DVKPU46Tz3rY1w9Ud5OPVNzPj1o1TU92t07PfAdQD2EeFI9zvdhPXU2WT0rZ1E9R+lePZo2Xj3CeWk9JXFePSt1Sj0Tij89K807PUDiPz3bA1I9+1tRPbvnVz1Iblc9jI1TPXk7Pz2xvzs9G5k2PbyrKj3cgC49KrYxPf4dMD27cSk9ohMpPc8qJD3tNVM99JpOPTFVRz1oMyg9988NPdO7DT3PNxs9zroaPUv8HD19Lyo9Hww9PcKGqT1t2yE+VVFQPnkmLz47KCc+tZ4mPgBM8j3YIBQ9kUSZPDWPoDyl/sc847cuPaZSqj0sCRE+mY9WPhQvOz7hqjQ+tiIjPioKHT4aCho+Jg0ePptHKz4+dDc+sPE8PrjXQj6ENF4+8E1QPjb5ND6MCSE+ZzooPrBHQD6491c+RcBYPkJ1SD46yz8+nrRCPvXePj7uwTw+9+tCPsOpMT4aqUM+52pRPto3Qj6cJUU+mZtWPs3gTT4jHEM+Q64/PtBlKT549i0+SvAzPm65Kj5hxDY+wVg8PvdaPD4xxEc+kwhNPlPXUT6x01E+oNdHPqgiQj7AmjQ+W3IlPuVrKT68GTo+J2YyPpruLD5z3iE+mAowPmY6Mz60xSI+FVEkPgpWPj6yZDw+SZ4xPl2HTT5kTGA+FIxFPr55PT6O/T4+hy89PprpOT4WyEA+Kp00Pv+VOT6QQD0+ZjU5PuWhNz7byz0+IPg/PolPQT4DBjE+Z60zPpkROT77KjY+SIM2PmmBPT7t/TM+ZzkpPvdgHj7UDSc+h3NCPoznMD4EdiY+PNUwPkl7NT4go1E+fNAxPhMCKT6H8jk+Vxk+PkuNOD75wCw+fUsuPigIMz6C7UM+LypBPlQuOT7uOSk+9Ek2Pg7cLD6KEyU+XFIgPpNaHj7HiAk+tO8JPsmjFj6vRCc+olkvPpq1MT4vji4+/+4gPsNeMD7jATE+wcA6PuNkQj60wz0+ig5FPvzbSz77iUU+mL5DPta1UT7x2lM+5VhBPoUyNT4uvT4+tYQ2Pug/Lz5pTC0+9Z4iPhppIT7NFSg+svkdPqgXHz6PnyA+D68iPgz7JT6MhSQ+kWIlPqiBIT4bHyA+oQYqPoS8ST5pLVM+05lMPv9VPT7apj8+EC9BPt1qNT72EDA+tuc7PoTjLT7qty4+5rwzPgBSLz5jLis+bCYmPi4oIj4loi4+DgMuPoVCKD75byk+FZ4xPpfENz5hxiI+r88sPgL4MT6qVCw+aQMqPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/xEro90gm3PeztjT2Q0YU9r4uHPeDngj2ea3I9HY9sPQfvaj06k3c9UHpzPUzfbD1DZGk97oFnPX9XYT03YlA97+NQPVJPUj3QKlg9l5pOPUvqUz03nWc9ZsJqPbYbXT0Gj149ce9rPXBTbj2gQ2s9uBNqPWrQdj1GJXU9jHh0PcCzhD26CIM9DHp7PS6TfT2AgoY9FKd/PQ48dD3KQGs9ndFkPUtXcD3oPIQ9kxaBPSSgcz0Hw3I9Z8R0PVZlZT0W6H09g/qRPXWngT0OQHI9KJt7PTRVeD1AZnM9KqVwPWLtbD1keG09mVpoPdN+bT14hXc9HhWBPXxRdT3cank9OFB6PTFhgD1VrXM9L1hfPUC5Xz2XqGk94nprPXFAgT2k44M9hcSKPYyegj3t+X499AN3PTrheT3sDos98QOJPUvNgj1yMIA9Z9WMPc2+jj2RCY49gPSUPeWoiz0yZn49gL58PYRGdz22amA99HZZPU49TT0/sU89eIVKPQ9zPD1doz89LidRPYK+aT3M8m49C2t6PWO6cz0ZzGs9tsdVPTxOTj36AUo97bRRPfMqWz3zEFo9dalTPQlFWD3/ync9bJ6FPUT2aj09O2M9FBdhPZbeXT1DWGM9lwNbPdYrZj1WP3I9fRx/PQlvdT2O3Vw9Ky9PPVuQWT2lwFw9WJxYPbcYTT0WIT89bfY7PXJrQz2J71k9UGJbPeyaTz34zT89btIwPYbCLT3why89qCszPclOQT30UUo9mQlkPbqeZT3Xr2E9FthjPaTEZT1+kHY9mspwPYCYZT0KyF89179WPc3WUj2uL049ym5RPZ4ZVj1LaF49YEFLPTqTPT2+Cy89KPYsPbZeKD35OSY9XA0pPbQyNT1mNDc9HqM7PW3wPj2NwFs9CsiCPYV3Rz2f4Ts9hQ8rPQvQIT39cR09/tsrPTJ6ND1jHCk9+rUlPaWBDj3BVWk9ZNsUPv8dQT4ZryE+UscaPjLjFj45PRY+svICPquNCT5LUhA+mn4OPhV3ET4NLy8+ieglPqtgLj6ZYyI+1dokPknYJj4zpyk+KQIhPlI4ID4qnSo+u1wyPtf7Pj6T20U+lG9SPvx1Sz6kzSw+i/kcPr4TIz5BOzU+S5JPPqleYT6rYUk+PlBEPh63Qz56lUM+vIhPPnAfTT6St0A+0SY6PkWBNj4LVjc++qsnPuTbPT7SNEI+PpxXPncvVj437Uc+YTNuPsCtYD7n+UI+bZ81PrB8PT6eCUM+gA9WPr74VD7+mVM+y+lAPlxyLT6u0Co+0LItPio3Jz4C8yc+k/UrPk7dIz6p+C0+nOksPg9wJj7kAyo+SM02Pr0oRj5JH0w+ugZLPnllQz6v2T0+ZTQ1PtZlMT6m7UU+N+VKPqP0Sj4ovzg+kik1PnGRKj6/0zU+VCJDPr7xQD4FTzg+93YoPor+ID46QzM+pMY3Po5eOT40ujQ+ACssPqNaLD5ggyo+vKQvPltELj5kOy4+Gas5PivcQj5AmDE+IVooPiz2LD7UejU+NVBHPiAANj4Boy0+BbkvPhHtLz57FDY+g847PlMBNT7K4S4+mTUqPpOmJT7zBig+CL48PrqYOj7MMjA+JNssPo0ZET5Pru896hzGPTRx3z0LkSA+MBdRPt5sQT5aKDU+RDAuPsGuJz5Ugh0+GBcsPqSjRz6RtD4+dLU5PnGQSD5TlV0+B51EPoELRz58sEY+6e5EPkVwOD7uVzU+TdA5Phx8NT77Iyc+8LkmPhhTKj6pqyw+tcYpPmceLz7Mpi0+alI4PpAkOT4Dk0E+g/E/PjZTJT4D7Bk+x3AYPpjNGj4s6yU+ggYtPkiPKz5gCCw+LBs0PqXxNT56GC4+tXkrPk7gLD43ORM+Nn0bPpjmJz5dCio+MW0tPh+3OT7vkyU+ygUmPnAEKD4aXR4+cAUWPv3lHD5CmiA++EsbPi70Gj5hmxs+2JYiPnx6JT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/NCeRPb7Lij0LAoI9w5x1PbbUfT0yZ2U9d6drPbMOdD0aJ3U9Oal4Pe26gj3mtIE9Q8V+PR4WfD1Cw3Y9sOpvPYtwgj1jEHA9iXllPSdvYj10DFY90xVdPUNwYT0zUE49bVhoPZdYkj1owps9b6OWPavviD2Qh4E93gFxPfuEZj2O6mw9A/tyPWQzbT1XoGc9tbd5PSyCfD0yuH09BFaEPV/lgT3u5G09zuF4PSX7cj1YL1099sVfPUGDbj2j0mg9LLpxPStHiD1ls4U9ReWFPde/iT2bEX094LZ8PU/3gj1/3G89AAxlPSvnZT2UeX49ZSaSPcnweT0cQ2A92TVZPe31Vz3AqEw9/wlVPcqOYz1Uan49CTGGPePgiD15Uow9XC+MPRtugj1544M9TSKAPdPlcD0s+2w9gI5hPQ6ZZz2RZXU9lVd0PdfvjD2CSZE9alqSPZ2TjD2ULYs91zR/PTTucj2rxWc9731pPa6lXD3QjkU9r+RMPcm8TD1Mhj09XO5EPfX7Yj3fDXw9iUyOPbDniz0rfoU9X+F2PVa2ZD0GKFU9IYRGPT0fWD2Helo9kx9hPYqGZz1brHY95Bp1PTQDbT2Txlo98E9UPatAVj3SO1M9e+1XPfMyVD33NWg9pt1vPTslbD38OVo9afxRPceBWT2IUlY9+FI/PVsLOT1RakE9Jr9SPeamVT2OpF89vtF2Pf3OcD1wDlI9GfM2PWTMLj3TrTQ9BUM8PdynPT2i/Tw9tVRLPSNuTz2V41A9jCtWPUStXj0NtGE9UC5vPeCQbD3NI3I9LpaDPbo7ij3xhIM98FF8PdvuYD2u9UY9kZw+PcFrPD11KzA97/osPSMIJz1a6Co9juIyPRytNT29HzE9o6g3PQWHcT2trLo9rmQXPuFkyz1i8109y6iEPabUaT1eOhU9Y2YOPb4KIz0fqic9RNohPWK5NT09Q7A9qR4hPlxZLT6y5R0+MmsVPp7yFD6rkBA+NzgUPrG0HT7j4BE+p+cVPkkRIz7KJSo+l7UyPq0CLD5dHSc+8acqPnUxLz4KgzA+SCMtPm7UKT4/GR0+DU4iPj9gLj6TJjk+Sw1GPmYoMz4vIDw+v9lAPhqJPD6BGzc+HNg8PqTpPj79GUU+axhAPvO2Nj66MjI+C24xPtFdOD5d0DU+05A2PqSYRD4KRD4+vF06Pki5Pz5Fzz4+/Ec+PoS+Uj6I5FM+w7BRPpNFWz5r7VQ+EKBGPtMBNz4UQUE+Dg9GPqLtSD4xSz0+Ahk+PofePD4vhi8+rtEyPqIrMz4gqSw+TlYmPkUEQT6scE8+ohRIPm0dQT4oIC0+5185PvjIRT47SlM+56hWPrHlUT6hzUk+7bNPPrm1Qj5E7DY+XydGPpojTz5DwkM+RbcuPuMbLz6dOiU+jGI0Ppj9OT6rqTo+je09Pki3Lj6U2yI+GrIwPnupOD593js+nHoyPph1Iz6LSyE+KOUgPhIvPz6nMkc+hGw5Pgw3QT6ZoEA+mn00PgetMD7Uwys+iD09PiMbRz5mkzc+FVQwPm1uMj6NNTA+cekzPhqZOz4iEkg+XlU9PlruND6yeSc+yhkkPtrbNz4zITk+Pm45Pqk3UD5eyEI+4/E0PrUfIj5o4go+GxYSPvRsOD4krDI+TXArPoglKz7mZyc+CDIrPvugLj7Tpzc+mXcyPon7Lj4qUCw+Bd00PjCXMz4ELzo+fSlAPv3iKz6kViU+qIg1Pn7TOz7wgCs+umZKPgEhXj5x61o+3alKPpcYPj73AzY+1+8bPkT6Gz7YmR8+HZgpPruxIT7Y0R8+Cy8qPusqIz57Jyk+7H4rPsqMIz5+bCU+Cl4rPpzvIz5sDCA++cAdPp7vIz701CY+3aIgPnTfHD5CIyQ+AycpPv4uJj5eCyo+H94yPuYMFz64Txk+MG0cPs1SGD7ujxY+93EbPsINIj6q9Rs+MA4YPnYCIz7aiic+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9iBaz0J31k9YhtYPa4oXj0VEnM93zGBPXkCeD3Mrmw9b5dzPRWcgT0iXYE9viuJPaqFjj2p2Yw92yCMPdQfjD0oAow97uuDPRHDcz17XFg9PgFQPZO6UD0aL1Q9UVhaPWSfcz1CcIU93UB5PcGsaT3kZmQ9UklXPUWjWD3Fn2U97LJdPZuJZD0dAWI9vv9uPQVGcD2clnw93MtqPUhLZD0VMWI9rrVdPbCcaj200F89i4dWPaxOXz1k+3A95jaBPY1PgD3eJYA9+NCQPdVulD2pNo09IBJ6PZeHgj3wjHI9VK53PaKQeT3tn209wfx1PSQWeT1Y6189M5lSPUS9ST3ERVM9AldXPZoMZj2idIE90rCIPexuiz3qtp09V/igPUQNkT3Bn4k9ZDSAPcfDZT19t1c90DFcPSaBXD0CeWg9F+d3PT5ghz32L5A97gCXPdRvkz35cYo99qqOPQB3jD0iioA9iLNsPfZ6Zj0ZfEk9Bbw/PRCGTz2hlEs9YDRjPR59cz0aYX09jj99PdBkkT1NZYc9hyRsPQnLWT3T5Vc9hLxbPWwRVj1/FlE96t1cPX+rZD1p2HI9QZR6PYwcaz1nCV09CThaPR1DRj193kE9vhtHPSLzVj3FpWE9GdFbPS6VWz2TRF09o5JYPdQFTj2/AUc9OS1EPYjxNz0oTD09fGVMPXEWUT0A9Eo9fyVLPWTbLj0ggTg9sx9BPUvUTj2UGUE9Wto9PfgVQD0dk0g9wRVLPbbcVD2hilk9d1paPawnWT0K/mE9ZvhzPUfUfT3Ytnk9ehJ4PZARgT3wv249lvNmPX+JZT2jVlE96sU2PfeCND1OJjM9Wf8lPaq2JD3k7ic9keAnPYP4OT3afUo9EDJDPc/TSj2xGnY9642BPd3DYz1a3VE9LMGZPdnSET7Cduw9At1qPeaxmT30VAE+rWYdPlFAFD58XBE+4lsdPs3fIz41XBw+rnkXPuNbGD4KdR8+3CEgPjiGHz7myh0+2YQgPlZFID7NHio+vM4oPvAxLj6tMTY+e5YqPm40MT442S8+bGQrPllCKT5CATE+2akiPr9eJz6f8y0+GwktPiphMD6nVzg+ods3Pje3PT6J7T8+CU0+PvwYPj4n+Uc+vQJNPkMNQz4F9TQ+ok41PnfDPD7amUA+qiglPgqXMT7K6EI+SXdGPn1lSj58VT8+o0dCPssAOD4vKEk+BndXPqaUVz6ypkE+2vNJPlEzQj4fYTw+klk2Pq7hOT4/Ajs+D4Q5PpFRMT4h0TI+uH01PrCRJT5zBSI+y9smPmKPQj70ZU0+sU9SPpjLOT4bLDg+Pnc+PurJQz5h7zw+o0QyPt9qRT4sPEI+ektBPsTXOT7c6jA+CssvPvrfND66gTU+38QvPmk0Lz4gMig+BY4mPmjTND4NIjc+e6c1PqbRNz6OPzs+JZo0Pl5oND6m1VI+nVKGPu+lcT7k5zw+a301Pg6nJz4MBTU+9bFOPrmYTT4UVTc+xrgzPhIXPz6TPkQ+4UdKPnZeVT5i+EU+ltQsPvPDPD6gBR0+vyMNPrd4HT6TeCc+suwrPlLUOz5i90Q+iCRTPpfNbj7dYWw+q4kxPq24Nj4PgkA+AA1IPvCiPD5hdzc+BwcxPtT4OD7m1Tw++to3Pux7MD7EoC4+7gYvPld/OD65Uz0+pGc7PsjUOj7Ukzs+lkNAPuI8KT65QiY+vbtFPhwJNT6+Biw+ljcnPvUqLT7uNEY+ZBAdPnxYPz5mXVM+DRBQPsA9Qj5z9TU+45AsPpUBJj5XmyA+sDcaPs/GHD6nCyI+d2IgPl7OPD7EQxs+roAXPsEWHD5CySM+MRMoPnhkJj7j6zA+AzUjPqZHJz4fpzg+sk4+Pi9/Oj6leRw+6EAoPgOwLz6mbS4+rlQoPnKQIz73GDA+log3PtNZQD4YfSo+maQpPjKJND6Pyig+lt8nPntkJT4S6S4+QtcyPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9Hyas97QWUPUjNgD1TG3Y9oWhnPZj3Zj1zA149cI1jPXBVfD0tGoM9VduHPYOwgj1Z8oE9iZZuPacKdz1tEYE9wRqHPUJngD19uWo9XV9wPVm+cz2x+mw9Iu1jPRcabT0Rqmk9FD9YPWnKWD1G8k89oadOPSUbRT03I1Y97x2CPRo8gz1aXnU9B2x+PXt4gD0zS2k9VtdpPZmMdz2+SXY9VdtuPcTJbj1/C3s9T9tsPRLNdD2iBYQ9S+mGPfR4gT0n/4E9fEKDPT2kdT3mkGA9NDhbPRl4VT36sl89xZFmPcINbz0o3Gk96Rt6PUwPgD3fHHM94HhfPWmAXz0szF49G2hTPaoBUT2+dGA9w8OBPUHDkz00NZE9BceIPYGhgT0hdXw9sH5gPbiGSz00DVU9RCBqPQetaD1G5mg9Y1lyPeFyfD0SVIU94uGPPepOkz172JM9+omTPQ2BkD1/cJA9FXV6PWqwYD36lWM9GLlSPdyfUj0crFw9ZO95PaxPjj1+k4k9zs2DPQyUej20ank9rY1yPbAKXz3KQ1I9CklZPd7eWT0qD1M9BFpZPSdaaj22q4M9jpGLPf4VgD1M/1899a1TPekxXT2y/YA9RG19PVR0fz3X5X49Au1lPQfFVT2GX1Y9CFRVPYvETz3cf0k9drtFPRtKOj3Zhj89Y2NLPfv0Tj3cq1Q9JppOPb0qOD2trjE9dQ86PejNOj19yzg92Ok2PTooPD2iCz89hJs5PbmzPD31FTs9PCxPPQOQcT2vUII9K1dtPd6Rcz2nCHk9QWp+PQ6gbT1uMFY9+QdNPbokTj108Uw9/gBDPaZmRz0BzEI9NBY3PTU6ND2tWSk9JWEnPW1DLz2IODk9+VA+PV0MQz152Vg9NgRSPV1AOz0D7zQ9e9VaPUS52T3KK8E9Vja5PY8A4z1O9CM+fyckPvrCFj4vyxQ+H3gVPigIGj7bMRs+vQwoPkUmMT7J9ig+NSkoPnJ+LT6IbjM+2tckPh8qKT6RNCw++yowPhZdIz6r2Sc+f1AzPmLHJz45MCc+NOYtPtfvLT6a3yc+H0UsPtEGKD4dcy0+AcsfPnHmKD5s5iw+pbU9PmyeNj6OCjw+BvREPqjaQj5DNUI+LyxQPk8XRj4v8UA+6L40PiQcPz4Xt0U+Bs1FPvk/TT537kM+c8k9Pv/ySj4uxVE+QJdLPnxyQz7sXk0++F5ZPlbCXT6WRl0+BdtaPrUwST6KGkQ+bQNEPiHWNz4RDTg+ow42PozjKD7c2To+8ldMPjgFMz5yAxM+VKUVPootNT67D1M+VlxmPnSRgD4Y9Ug+z4gsPr+1Lj7kCzk+k7c6PmclNT4r00E+KcYqPlPvKD7WUS4+T8s1PopGJz7mASE+OrIdPlURIj4wQy4+xdspPo6jIj491i0+yiQ2PvMfPT4DCTk+19svPqmmPz4XzEw+9MJZPokGbT58YWA+GiFaPhOnRz6iJDM+QDkyPnc+QD5pLEQ+Ecw0PiqGRD479kQ+RqdHPmftUD6ualQ+hUNVPsV5JT4+MBs+qTcxPmD8Gz5Fdwc+wOoNPgxYDT7Yvgw+MFg3Pk6tfz7Mbog+/ruDPqAoLj52aC4+IiNCPlBfTT6k3U0+FmFOPuElXT6vhUQ+aB05PsWHPz5aEDg+ZuE2PhWDRD4g7Do+3Po5PuunPD6c0C0+fQ43PuRWNT7AbCo+NhspPtJ/ND5CO0M+5OE+PhISPD6eJDM+NAAwPhKyIj6NrSE+cAsoPiguKj5BIi4+5fAxPlYQMj4QmCo+dcw2PooLNj4eBzU+lo0yPmL8Kj7Tz0A+llwoPtnmOT4WnDY+eYQvPgmEJj4v5y0+i0s1PslPKD5flx4+Eu8gPii0MD54ZCY+kOIwPsu/LD6rjCY+YEUuPrSYLT6O4SE+I5MkPgpvKj74xT4+z7QzPkJjKT4KcDE+tdUvPpc+KD6zvSo+7BMsPuwTLD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/fWCPPRH/gT34z3I9G/ltPXY1aj0fBnA9EcBtPVR5eD0w2309poGBPR89cz0K2kw9GPxRPRwbaz0y1n89/uKDPSL7ez1wKm09It9rPSUKUz357VA9hNpaPfY5WD1NZFc9JehhPTBCXD179Fg9SQtZPe5iXT3XEWA9a9BfPXCiZT3sM2U9nCtuPQNacz2Qv3A9cnF5PagScj1cX3o9UHl/PVPBgD0G1oE9VAKIPbW9hz0fG4U9G4+HPfyChz03YZE98LOFPRbCez14sW89IKppPYySZz00Gmc9gT9ZPTLtbD35FYA9sRWCPe1Ijz1hi5I9Hq+EPXNNYz1I5149K/9dPUQOYj3thm09snF1PewvhD1IR4Y9VQKDPSTRXz1LsEY9midFPSqERD30wVM9DFFnPbv7bT0pIXA9fBd0PefKgj3BMn89fqKAPdB6lj0pxKo9domcPeyJmD0WjYk9y7xzPVx+VT2sqUU9/5xKPbcHUT2wxGw9MwiEPcqbgj2nt4c97hB5PbEbdD28jng9OdtvPaazVz0MdGA9mEBuPdG1eD0OQnI9KNRoPR8XYT2rQVo9ezNXPRuxXD0lgGE9wrxnPQuKaD2gBoY9sfuJPQCJgD1PsXQ99kVoPVb+Yz0D7Vs9xgBOPXeIRD3WEkM92+xHPS+YUT32tlA9Xl5NPbFfWD2Yo149CuNZPdfEOz3KYCY9CkovPQd+OD3yfzs9cEg+PbbRQj2EPkk9KR1JPYOATD2aClc9hgJaPdGNbz142YA9QrZxPcY1ZT3TY2A9dp5iPbnSez32A3E93v9aPQBNXz1P/1k9Gm5SPeqqUj2CClU9iaBTPXUiVz3ccE89APJJPUD3RD13Izc9Lic8PVqPTj0bPk89HodFPfusRD0GEzo964wlPdyTRj2+JDk+TpNLPlJFUz4Ohkg+buwwPifhIz53+RA+yAYfPquBKD5nBig+nU0qPtpkLT4vMDM+hpIrPifMJj6bpis+sOAxPvALJz4J6ig+eiwqPq9RLT7hDyw+6sswPuM3Nz6jLzY+4lYkPnE3Kj4HHC4+TAIqPmnqMz6E7UA+lwQzPt2IMD73qTI+9gdBPrRkTz6+4Dc+AYIyPjsYOj4ZyUE+6btHPoqbOz5gGiw+lyE4Poq5Rz4b9VM+E7dZPqJHVD6xQlE+IVhGPnMqOT4Fz0E+mBlPPgTXTD44Ijk+z2s4Pkz9LT4B1TE+fvZXPmPjWD6Wuzs+eIczPovbMD5P0jM+4DM9PuJpOT58rB0+cPUiPmtLLz5kWC0+QgdHPiSHPT43W0Y+m011Pj1xnD7hSqY+ubFAPm4HNj7Y6Tk+C7lKPhX7Rj7Pxjg+2Bs1PgwqMD60VzI+8WU0PqObOT5AOzQ+iXw6Pp0WND4tqS4+cho4PgIgPD7PYj8+8g44PtPoMz5LYDo+rJUzPoxiIz5yXSo+dWU/PnMhOj68mTQ+4S03Pg86RD5KLEY+B+wvPnEZMT44+zk+Rv84PkRkLT5xCjQ+/WpGPk3sRz7xn1U+apRjPkAFZj6W6zs+CzA8PgkaMT46RC4+qasrPkgSLD7UmDQ+ABgmPjiTLT7DsS4+AWohPiDgHz50ezk+0ORiPlnOWT6jEEQ+fNJKPnnYTT6kmkg+BhRPPiFLSj7MrDs+sDcuPir4MT6oRDA+Z3giPmKMJj7jwCo+JBUxPvW7MT5ZOC4+S/wfProJIj7qBSc+NOs4PtOXTz6T40s+OTQqPrlvFj7jtC0+w/AkPu00Lz6yQyI+phwsPryYPj7ZVTQ+FE86PrW2Sj7a3EQ+OLBIPrBWQD7kGTo+0PU8PnsOOT6IMzY+n3E0PgZzMD60JSo+wlgvPpp2MD66Bi0+dU85PtvrMj5qZTI+6wEzPih8Mj7gVik+R60pPnsKJz5DLC0+7porPgIHKz7ITCg+WFYrPuDgKD4hSSI+kMA0PhqKMj6cTis+4g8pPogRKD6IESg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7ZBpz23cY09E7FlPXNSZj1HJ249IkZ3PevIcT2FZXU9XgF8PRmLgT3win49DS51Pb4vcD3KjWs9sc5vPX9ReT2NiXQ9bqdgPfqkWD2T0VI9xcVXPXlFWj2UpVw9qwxgPVm5bz2bn409ieWMPcXceD3aPnI9eup+PRLpgT0k3mw903xqPapLbT1a9Gc9TA9oPUhubD2yyW49Tdt2PcrmhT3M5Y49QWuXPRVqlj1sfZ89LeqjPbHPnT3U8pM9e5iRPS5AiD1oEIE9Ax1qPU36WD34h2A9ONZjPatxcz22Y4U9EySSPV3Gkj2Pj5M92UF8PR2JZz3fdUM9xPBGPd8jZT0b/4I9gciDPSoEgT2Tfm09n0trPaWUXj08eUk9NCpFPVh4Rz29tFE9EiJnPRQIgj2UGYU9c++BPdkIgj2SFYY9vf2IPS1vhz1yw4893HSaPR1hhj084n090sJZPXWGRj18skc9gVVXPWeuaj1WtXY9dByEPTWZhD0pkoA9BAhvPTEhXj1gPGI95YBlPRGFYD29y1w9QQRzPbwYgD11FoM95tl9PYPRbz3WO1c9iQpPPb6WWz1GlWA9A7pzPXn/hD21enc9xiRZPYykRT1OVVE9HvhXPQq+aT1NyVw9T31NPSAySj3Ra0E9zgU8PcBiOT2CGDk95ndIPQDyVj3ZPU49Cc87PUJ2Nj31qjI9svM1PRiXQT1hkEk934NOPeVdUD053lk93EpYPbiHTj3rXFc9XpdmPXB1aD3umGE9pR1jPZTWZj3aYGc9tTVrPS4UbT13TnM9f65uPUBzXT1us109R/5mPXahWj2b3FU9+CJMPR8XTz2DGVU9vzpPPT25Sj1E9Eo935pLPVyZUj0Y3WI9w5lnPbckNT29kBw9m3QUPYKVAz2ixik9qLCZPVFZ1z3Qwy8+5jk8PjPuNz4p3h8+SY8cPmnJOD75g1c+xgw2PnRWJj6n7i4+APAsPmpDLz7tcCU+5lUlPtSwKD5xbi4+UTssPo+xPT7OkUE+zi84PouxMz7mikU+yqE6Pg4oLz4Ztjk+h+05PoSQNT7mfT8+H9A2Ps4yMD7Gqjw+ASMwPoT6LD5D1FM+51FDPoYkLD6a3T0+yTs9Pq/bOT4AnDw+sqY0PvJDMz4u0EY+jwJFPtmPSj716kY+3yY8PmFHRD7JoTk+jVM0Pne7Nz6/2TY+zfouPtDULj5txCo++Mo5Pqq7ST4x6kg+5qE3PssFNj6wqDU+qMc8PiSRPj40dyE+0LAePjfcMD6YsEM+/ilJPiuERT7DbGo+0HF1Ps3wjT4RlZI+MqpxPqKtUD5j1YE+9YFtPjcPUD6h7TI+sRwwPgUfKD7pwjU+T1A1PnO4Nj5PQ0g+LbBTPi8+QT6WbUA+2rdFPn8JRj4ROUQ++OtNPqrFVD7A8jg+LpIrPr5DKj7MPik+PXYpPub7LD5lyzM+3/07PvX9PT5KzT0+Yr0yPpabHz6CBSg+/1gwPo6gMD7NTjM+lGUrPv5fLz5PbCw+ooYwPqDHTD7tsVU+qLxGPrLBSj7b7Uk+ACBDPn7QRj7YbUg+e+5HPmXUQD5eoS4+LCkoPpe6GT7eQhY+rXsmPkKUOT5ZDik+GR4jPkwMIj57NEo+Y+dUPn/XZT6y4Es+urQ1Pjd9JT73eCo+20csPv1uLz7Hqi8+JoMmPrArHz5XuSc+Y/cqPkC9Mz7mjD8+lwZHPvfgOj6zf0U+nRkiPlblHj4sESE+ouEzPmL9QT6xrC8+MBImPiWJJj4s4jA+D6M6Pr8JLD532jE+8t02Pk0JOj71VD8+xrg8PjyYRD5AejI+EEwiPnzZID5DkyQ+qsssPv7OMj4TMyw+L6YiPr64Jz6Y2zI+DGpBPnyQMz5pPDA+4GQuPp69NT5qKjQ+RcQrPk0/LT5+EjM+YacqPmo9MT6SMzA+pVAkPlo+Iz6TJUQ+8jlCPqQcKz4fEiU+HxIlPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+nj6g9SA2VPVqdhj1PyIU9jReMPdCQmz2zOog9XiptPSPNbj2DF3M9FAd6PUQWgj2f8389glBtPS4kaj1HSl49xlhXPRrYWT1oJV09OypTPcPzUz0hrmU9s/xwPWArgj2R+oU94zqLPT/5iz12DYs9jM6IPYqGgD0shF8922NNPTjIUD1S41s9hAVtPbZZdT0hCHY9zhKAPa8Viz1l2ZI9BX2cPRqJoD2HbKY9JR+iPRbHoT1xPp89AKOWPZaFkz2Cs4A94FlpPQLtWz3SXGw9HSN3PcU/dT0qAXo98WKJPdhzlT25AYs9lj2KPTiIcj1Rs2s9GjdgPbRBWD1sel89OVhqPeDyZz3nHmI9mMdhPXuPZz3XKlw9JB5cPfySXj0ZlV89tU1lPTsufD01oIk9VV6MPf14fz3NpnY9axyAPcPYij2Zj4w9sYGOPb/ojT2Sx3Q9B8VpPW7fWD2JmFQ9wEhlPViqgT2USnI92hhmPY34Xz3c+UY9jMFTPcMRej16WmU9LctkPcgObT0cIGw9jUJrPWUSYj1icWY9zcxpPbQUaj0gPGc9IOlcPU3mXz0UX4M9y2yOPWp9jz0DW5A9caqGPRqcVD09HFI9anJlPdoLaT2uEmE9B8RQPev5SD29Iks9FFdGPdJFPD0hNjo9GRI/Pa7mQT2wZkc9VdJAPce9NT0q9DI91fQyPcJfPz0hA089+n1IPfebVD1Jpls9GUtyPcPuXz3ohlE9B2FJPY9oXT1bCl49R+BWPaxZXD3pS3Y9NC97Pf0Ndz0SKHw9Ach9PZh2fD0IOW49E01WPT+8TD07dVQ9W1ZYPeefVT2A5E09K/NUPbvpWj3OrV09uydYPZUGYD0WtGE9xxZdPZTCaD2UVyU9Y2j7PCcAAT2yUfs8kG8MPePvJj2B2NQ9sXBHPsMbXj5H9Eo+y8gZPsopKz7FKyg+zfU6Pg3LMj4M2Sg+Xi0vPuKwOj6nii0+eqIkPhDVKD7hkic+aYwpPnyHKT7fCTQ+XWY2Ps99LD7TbzA+G/Y0Pj/jOj76azo+LhFFPtXIRj6HY0U+0HZJPpRsQj4tDjk+vUxHPmNUNz4j2C0+ev5SPmAZLz4ntDU+Rl1FPo0NRj6UFyo+5GwiPo7ZAj4gyeU9D6v2PSWXGT6kbyM+KC0hPvo+Hz42qkg+zgY/PuFlOT7LlDU+aO00PuijNT7oISk+Vx03PvNUUD6CfT4+2MUtPidZKD6wQC0+ZdExPoCeOz50Okg+Mto6PvsMPD439z8+I149PqnnPD6G8yw+J4ItPvozMz5WAks+IspdPkuVQT47kkY+TXpePpBRQD7rJ0A+qiJOPvCbSz7PlEM+o5g4PidKOD5slDc+wcFQPoLmWT7Wx1E+yPhQPpmgPz7/mzs+lSZDPnpERT7Grkk+IDY5PrxPLT6xhTE+coQvPiHXLj7aOCs+O+olPpsCKj5zTTA+E601Pr2LLT5yyC4+KkA+PvYPPD7SYjU+tmM0PozLLz7n+A0+nwPcPXxlHj70UVQ+ec1cPkYQQz6PoD4+dmNFPi+7Sj74hTw+Djc5Pj8gMz6EZig+ACEiPuNdKT6gzS8+vScoPk7hLD4ECD0+AyYzPl+iKz5b8i8+gGNEPsffSD7Q9FE+1xFLPvwrOD4q5CU+vhojPoSKJD6KXC8+rbYwPpvUJz6OYz4+sdUyPvWtJj6hOTY+acJDPk1IOz50/Ck+HDFEPohfOj62HDE+0WIhPvFXJT5tFDo+xt8+PhZmIj6P0Ck+xXU2PnhsNT49cC8+eaA3Pgd0OT6UclA+qptHPpQsNj5mgUk+rJk0PsXPHD5u1h8+37QoPtg/ST7HjEY+nY8iPpaZIz5YbCg+ZP42PpMjXj4HNk0+8hMvPgOCQT7IjTQ+J4clPjmkLT76Yyo+S7UbPmeBHT4JvhU+cpEKPuUsED7M4Qg+kRUyPpbfQz5i3CI+3pYUPhLTEj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/zs41Psel8D0SWpk9XIekPX+0nz3xCJM97WV9PTniXj29/Fc9uyFVPWrSXT2sy3M9zWp7PVmWaD3uC2o9nAt6Pa2ibz3+K2w9BmJxPcDyYz2IdF4926djPUrebj3nFYY98BuNPfFhaz0DQVY91TdSPeLsWD2fGmE9VnJhPd1wTD3lO0k9r8NSPQngdT3ddII9psGGPTBuiz1mZZA9LvOTPRCqhz2pcIQ9TJCCPdCDhD30jYc9oZKKPQOkgT3u4m49nSprPf/lZj2Td3k9f8l9PT4+gz1ToYQ9bhuFPY+Cij3dnYw97pJ9PdnbXz3hGVw9i+xePbUAZD08olQ9yIJWPf0/ZD3IfHM9VWpjPVuRYj1FWl49RKpZPWs4VD0pMlw9+XtfPfAwaj12SIE9yjaAPdUaZD0j+GI9bOh/PU7diD2stI09jcaXPbIelT1J35E9F1N9PfhobD3xIGY9kc1jPeM+bz3v2mE9N0hWPU/rVD0yFFM9jbJQPRb5Tj3WN2w9sE16PTIcfz2pcYA9JweHPdQgfz2IA149C/hgPcpWZz3jx2Q9yKJhPascaz1gKnc9OVuUPSUllz1R9pA9UFh9PWfmXT00OlE979dCPRVNRD268z89ABI2Pcb6TD1lGlc9ytxmPeQ4Zj0Vrlo97tZWPQk6Tz238kE9F3lJPc2RPz3K9T49FW5BPbC3RD3j9E4971xTPV9ERD0T7Uw9moRRPa9dSj2w8EM9maRIPQAiVT00j1k9DdZdPX95YT3T03A9Oq53PRD5ez3Id3Q9pEBmPbmPYD0TJFE9tpRFPUIePT34JEw9u2dQPYwQWD0y4lY9K/9YPTsCXD1ldmA9zhthPSeoaT01ZoM9SzXHPeVuEj6NdwA+EGEVPZRu+TwKpwk9uKYdPSXSJz0aZLM9gZQ3PnFrXj6AL1o+aS1DPqehMT4oQiU+0f0xPkDOOz64mTk+Q0UrPvnYKT51wDM+ZL4lPjHBLT64mTM+TzUrPmwpKj7lWiQ+DnA0PrpvQD6QUDI+5csvPppSPD4flko+khxUPt4iTD6qNEY+pidJPqRvXD5aCz0+DtZDPqI5Uj4wpjM+zx0zPlzXcz4lJx8+ngs8Pom+LT4rqCI+irAaPqFVGj6e4DU+QQU+PlEvNz5Yzxs+YKUFPmXHBD5ynhE+gOILPlShHz4ekzg+18I3PtK6NT4+Tzk+kElHPm5xUz6XtUA+TdE1PlqcNT5fgzQ+F445PkmwSD72FlM+2XQ/PqXIMT6hqzE+xc8zPlaGOz6a8Dk+x2o3PpZQLD4g5iY+2ucnPlfALj7bnyg+1v8oPih+Lz4IMSs+g/0sPg0RNT6WIjI+cLpEPpHfQz6krj4+JI5EPo5dNz5n6C4+T5EqPhOhJT7sOCc+hQwnPt0XOz4l6kA+8+Q8PidPJz5XmiU+sQEsPuchKD6nTDE+oc8sPmC8Lz4ACTI+s6w1PrPRQT6LSEM+qPZCPoiIQD6HbT8+rsJHPtqXSj4JDVo+VSJMPs1yRT7LFkg+Ik5mPkOwYz4KJFM+row2PgRgND7nUjA+L+Q0PrPuMj4wNC8+x7ghPskdJD4MxR8+ZIkkPi6tJD645Sk+kVVJPuv4Pz6tQDs+Rdw1PpXQMD7XpTM+IK9FPqZePT4+9is+1WcoPpQTKD7r1Cc+QGAoPvfUKD76OSo+faEkPld1LT5h+Bo+3BYYPi1nGz613yg+Z5AzPgtRYz7zzUo+dC48PuxsIz7Rvy0+UuM0Pk4NVT6rrDs+KPRMPtfsUz5P1EI+zXRBPi2YTz69q0w+n9pOPgapSD4T9h4+URgdPopdLD42KS8+1ekrPheSLT5y10w+Tjs9PtZnKT4ctCY+7sc6PtwXRj5wj1E+I/pGPqQIJT5THDU+tqk2PuVBLD693zo+L0tBPpmGMD4E3CE+2q0BPrKp6z0HUAA+w0gOPoBOIT5s6yE+z8MaPofmGj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2tFfz7x/xU+j9OOPae5fD0HTGA9z8RUPc8ITD3pelU9YxVvPbwBgD3Ytoo9MSaPPZgJkz0XgoI9deJxPXOggT1dQIg9Vf+FPb7LeD3pu2o9tDVfPRcFbz3RxWk9GVFhPZ25VD3s11Y9Z6RaPTe1TT0xmkk9BzJMPX3cUT0gRE09b2ZVPVh3bj1icoM98yKKPcM4jz01to09wG10PWLAaD1FvHM9UH98PQQQgD3MgY09FYSYPaxBlT0J7I497p+BPcvhez2r/Ww9sIOJPTlMjD00Ko49ocGTPXfyiT26OnY9matUPScDUD2LUUw9XkdMPflYYz0CJWQ9821rPatXez1Bp3M9Ls1fPXjGWz3Z2ls9J55dPYGHaz2dnmk99YlrPcp6fz1ktXk9BF53PQiUZz07FHU9adt4Pezwgj2dBYQ9MQuGPRF7lz1P+ZU9HeJsPQDUWT3CkVU9QJhhPeCacD009Gs9FfxGPW6mQj0zakc9J+tKPaCwWz1psnE9DjN9PReMeD3gGG89wBdmPVDddD0iNmw9Gj1SPbYnZj0hy3M9IHJvPV4/YT1NSGs9BP5yPZpfgD3GZ3E9O3NMPfXPQj2DHz49+Y9FPc27RD3z7Uk9rw9PPe/WUD0jR149tptSPcYbUz3ITG89lFZnPUhCXz09BkI9EyE3PQkVQz0PF0k9pH4/PcXvPz2gvEI9zkBRPbEjTj04dDo9lXc9PVI5Qj2GRkU9eydePVdyaT0Qdlc9+cpXPVL6eT2O6Hw9D9B7PTxvaD2J3lM9EtxMPW4eQD2vZkc9nLNJPSv2Rz0JDUI9V0tJPbxzUj3lXFM9dbdbPadeYD1nNlM9BjdPPfFPUD3UBIY9eqnFPQtVFz4XB2Q+AelZPv37xT2pEaY9WOSxPU4HwT0IKcM97E4TPsOfST4JE1A+VHhMPn2DSz7xQ1A+jV08PudYNT47ZDI+MjIqPvnXIj4jGiE+omw4PuNLQT4m4jc+25A7PglZQT5ATTk+O8wZPpecTT62XlA+axdKPiayUT4HzVo++ZNNPrBxSD5fpzo+J+onPv49Gz48yRU+8NAQPhoKFz7xbRg+6pYJPoxP2j1iYck9O/bIPey56z2S4d49MtnOPSEDCj74BRY+K207PqFsTD70wz0+0rgrPmohKD5j6Cs+Dgg1Pg1ONz5e0hc+c6oAPtpX/z0rfQU+yQIGPkdvFD6zSDQ+/owzPvnlKT4iwSw+YtEwPvS/PD611j0+udM1PtGJKj6xyyg+ebc2PoLCNj5rFDI+T8k6PkO/SD4zXzo+TGEzPn+VND6urDM+uf8wPg2FGT60tRw+mjUePoPNHz59Ayc+HoolPmK+MT6QBis+zwA3PuHgSD4Juzw+TvMzPrKbLT48JzI+uxstPsw6Kz6rSy0+5rlAPsrpMz740yQ+pAwlPqI4Iz7jNzA+hChFPkf2OD6X8zU+M/k2PgrZVz4Tc2M+DZJZPjgmQT5S0Rk+s4ImPlBIJj5V1iM+Te05Pu6aUD5qmzY+lME0PiKcQD54cUg+eFJKPiCJKT7QOTs+xdQ2PrKQNz5aujs+C207PoekND6C1ig+upMjPo9oOj43qD0+Gr85Psb3LD55qTs+xho5PpUiLj6uXyY+E04jPoc7LT5pmzg+mPQ4PnOkNz4LfTU+r/ckPhqZJz4Zni0+JEcuPoKOST5iQ0s+01M2PmFxMz7G2CY+YpssPmM5MT7U+1Q+XPIpPn8gLj6U6C8+yWcwPgyVTz4AvFA+QH1GPjebRT7ZgUk+Kq5YPsQsRz5m3Tc+xSwsPiiJHz4f8R4+S+4fPgzPEz6Yk/09sOkVPqS1Mz4o1Dw+GUtEPkElMD5G/Ss+Hoc3PjiESz4hA0Y+uZE5PljrMz6lnCg+ThI2PlH8Lz7SvS0+Z8cjPpp6IT4pdxw+SWQsPrFtED4jPQQ+pFoGPlW7CT5XAxA+u5oNPnfaCz507gE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/wMmg+ODiyPYYwez3KsHo9nOt0PTggaz3Xslc9EYFdPfBhfz1qLYU9M/eHPefPjD2wGIg9x6V/PQqxaz2jp2Y9fudxPbJGdj3ueIU9KhSJPRk0ZD3DKFA9sxZSPSdOVD1UzmE9uqhZPYYYSj3y0VI9fWtaPQxBXz2wLGY9hKNjPSKjeD2wVn49bk2CPfiycD1r3mk9Mh1gPVvkYj1rDWA9grJrPZLSgz1Q7Yc9BeOVPdcOmT0dX449CpKFPYDSgT3pPII94I15PRVmgT2zGXg92ZeGPXx/eT3FJ1s9APNTPW8lQz0w3z09fXRDPYxoYz3MQXA9pspqPTQvaD0Jjms9jy1tPQBKeD2w7WI9+mdsPQMoaj1o+W89/Wd+PfYzgz1Fi3497ZmBPaObgz1ULYI9vsOHPSDBmj3zQJw94jOZPeWzkT1IP4E9d1VrPa0obj3RWm89S4psPbb/Yj3edWs9HyJdPZhfWj3z2Vc9pidfPenAaz0vnHI9jhaEPXX+hz0HE3A90URbPTPhUz2HYVo9Z45oPUhpWz10UmU9tu9lPf+ZZz12imk977t+PVjrgT1+IWo9x0tsPZe0Xz2xf1k9fK1cPXujWj31cFE93TdIPXBDRz1pFEo99RNHPRwfUD0X5Es9grNQPfG8Tj3stkk9VhBIPa4TQT1wVjs9UNI1PWDgNj1+YEI90opDPY0XRz2K/Fc9seVVPXbASj0mekg9JjJTPYYQZD1onVo9IlZWPc94fD3ZyH09tTZwPVNQaT19mEo9HVNAPWDcPT0tGzw9rBZGPbKZQz0whTg9SkYyPUsiOD1HVl49kEZpPfGCbT1WSHM9D55iPWtpUT17wkk9qtBxPTj0qD2p+dU9ecnJPSR3Fj6AaQQ+KNEEPsZHzj1AhQA+ey8gPh8YMz5dtkQ+CUZTPiQjXT4RElc+mMBNPoVYQj4rvz0+C1BBPijkOj7RJDI+CVgoPjnYHj5SeB4+bIQjPlk1KD5M7kI+jZ8sPmXdKD5ioic+53AXPrvsBj502wU+6aIGPhYFBz6K/v89RmsEPnwhCT7puB8+BromPmnONj6bSjs+2IsuPozxJT7bAig+Ut0qPg3RMD5mjv49VjznPfdB5D0jVR0+6/EcPiNiDz7a1zc+eqRBPgArQD5mqz0+AskvPlcTMT4FTDQ+/ME2PkTuNT7KcDM+qT09Pm/pOj6GWzA+t18qPuQnKj4nKCY+rVkYPm26IT6RNCM+Z40tPofIPj4NTUg+04ZAPrrlPD4hsjg+Yx05PjarLD6pUzk+ZZAsPv/pNz5WAj0+inNAPjdoPT62ZzQ+0Z8lPgPtMT5/6zU+s/opPuJRLT6xNig+WywkPtIsPz6MR1g+xiU3PnVoMz5pWEI+YWs9PlFrRj7280E+XqQ0PjP3LD7ETjM+GGEoPmQiMD5zATo++II3PvLxPT7Zuz4+9VE4PmoNVj5rr0w+/uVCPrB+TT4nCFM+pgc+PicHSj5rRVs+Pt1KPjBWQz4nekY+SUkyPmE6KD53Fiw+wiA8Plm8PT4p6zE+bpZEPjXCNz7zxyw+i4guPkQtLz7vaTE+KpsxPiH9Pz48dEQ+YFg3PtzTMz5sGDI+iPhIPmMEQj7zhjI+Z+8jPgTjFT65exk+lFMlPnfSMD6KyzI+AiVEPgtgLj5w8TM+Hms8PqhbOj7lpEI+bN8yPk9CWD5X+j8+dAk3PqBYPz4+7y0+y+YuPkLnLT6SQzU+Y6I5PpqUQT5xNkI+NWA+PpokWT5SCVA+gJk9Pil+Lj7r8Tc+5tU8PlokQD7dQEA+diRHPur7SD6guyw+Zw0aPoP0Hj6iSCU+VcEjPvjrJz45Viw+qKc5PrhaRD7BYUo+h6NFPvNfLD4NmDw+8RMvPgcIKT7SkDA+vZwqPrdGKD59NR0+hrgVPo2VEz6zjAM+/m38PZvBAD6jkAc+tscBPgTJ8z2/2fE9yTTrPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7hauz1VPo49Pwd4PWT/ZD1hGmE9/cdqPUgVhD2yYIs9jlqIPSBQeT1D0HE9I49nPfm7aD2XnW091qhyPUgcZj1gpWU9Ol9hPbL4Yj1VSWY9G1ddPbOIUz3wmlo9mstfPRBGVT2mgEQ9+DlPPQloUj3JzV898xlkPbWsdD2UQ449j0mHPU9Gcz1rKXg9vBt6PXQgcz1s6mU9r49sPXNhfT19BIM9smmZPTupoT2F1qQ99vyEPTxodD2QM289Ty13PaOVcT3skl89mIhjPZlScj1xLmc9lOlSPZ8kTD232k49JOJdPWgPYT3sW1s9WCRdPdnRWD0Izl89WydvPeLHgD3aCYQ9Zk6DPTvQhz2eeoY93SmIPUbThj1MXYk9khePPVuanD0IG589KRGTPaVEiz2IoJM9b+KJPc/KfT045Ho91Xd0PQH0Xz3Q21A9JP9JPV+iVT1C6WI9kKZnPTC6WD10/189vRhePeKQcj28yIQ9NRSGPd7Mgz329ok9LGt5PQxHaT3PQnE96vp0PaymcT38nG49dCB7PU+maD1Enl09ftBcPSswXD1Fklo9FsRnPURfdz0t8Xw96o2APTKXaj1ecVI95yNCPf+lOT2zzjs9joVMPSVLUT37JmA9wk5oPfxIbz0FYGc9qQJRPU0tTT1LOUg9TXVDPezuRD3oDUE92IZOPZDeVD3uok09KjdBPVzYSD1w+Eo9HYRJPdmQTT09slI9wshiPbdtcj2c9nU9tOtePVOYQD37gkM9PNc/PexdOz0cG0c9qblUPdCBWD2tkVo9t+9SPXMKSz2cd0I9Q6pFPWyuQz2NlEg9v7xNPXE3QT2/G0o9dDxIPcVfOz2knkU9RU5UPcpiWD1YDY89/+WWPYyVyD27K/o97YXLPaAMDT4KIE0+6ZlPPireVz50zVM+QYVUPnv3SD7f0DI+5SkyPinLQz43AR8+y+vyPTVk8D2cvwQ+XAcAPutiED4TGyA+ubYoPow6LT4w5x8+4V0cPmECFz5bnh0+9s84Pn5QQT6Ucyw+88AoPoVEDz6nuyQ+uM46Pvo1PT6QADU+X88mPoxmGD6BWSs+Mh8jPrC8LT62+Dw+FlBWPtbzOD7yXRs+vcMUPrNUDT7HrRE+45opPslOHz645yA+udQrPl7LJz6UaCo+PvwwPr/HKz635yo+rI8vPhoOLj5fGBw+segdPpI0ID6whjg+cX4+PoT0Oz5GxFg+FSxRPvSvQj54ajA+elY7PnW2Uz4WTDY+VLAsPk53Oz6SbVU+6Y8rPn1OLj70cFY+KcNiPs9IXz76z0w+HAs9Pir4PD4mi0A+IvkzPgeXLD75BCo+rlA0Pi/5Nz4qCkw+9s1gPqfQOT5SjUE+QY4/PkwWPT6SGEE+r/ktPpRkJz6OHTM+VtwtPtZoJj775jY+U7I9Pt4pPD69+js+88hWPiFdUT6zOVg+trZQPleISz6UCFE+CuY9PgVdOz4X3Gg+O1NZPkhHMD7owSk+T5gxPrrKNT58FSU+9Dw4PiimRj4QZkg+Zp5PPmuMSD5jyzE+nigqPh5RLT4JNS8+/6ErPpnSLj7oKzI+eK80Put9PD7MZSw+qgguPoBZND4DMDo+OylBPpKSNj4A1SM+zvssPuqPRj5y4kI+EokpPuvvJT7knh8+ShIqPvDZMD4irzQ+sFs+PsIUOj7cvEQ+NnhJPgZbST6dvTE+vKJAPpgDNT6zTzk+ol4/PiXPRT5tOkE+8Dw8PuDOMz4kKUo+5ws9PuD7OD4Hszw+5gwtPm2PMz6MhDo+X0MuPjrzJD7g7zk+vyg0PsApJT4i6Ss+X0RCPlBIVT4Yu04+XOotPrprJT7da0o+HKY8Phg7Nj5xfk8+J9c7PldwMz7KKys+j2wjPuVqLD6T9DA+X6koPqTNSj5q0jI++BkwPjNtKD68yCM+V/kRPqLNAz5g2gM+NVoHPk6vBj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/H6789q1eIPUpUhD3tZX89B599PefNgT3d/I09dpCOPQ/WiT2wvoE9dzt2PdMEcD136nY9gXJ5PeuGej1lqWc9x91jPQnBaD27i3I9kU5zPXfMdj0d3HQ9DH1jPdf5XT2Q2Vw9msRSPYaaTT3BVF89MIN6PRUJfj3IsIQ9wpyLPUGNiT2Ku3Q9SoB6PXhXdD2KhGw9oQZqPZyaeD37boQ9/HiIPXPsjz04D5Q9y6eYPdA8hj09xnA9blBoPaDGYD1HhFw99otaPTdZXT1D/Gs987tePb8eVT1zAUo9NLNLPSZaWD1FDFo9d79aPSaaaj0bPnU9kUl8PToufj1fYXk9vqdqPejPgD3YYIg9s0aHPfLkiD0flYg9eFmMPR8gkT13f5g97bKXPdR7lD00ZIg9/L6CPXsngz2SHnA9SFlmPRwjVT0JYUA9LnxOPWfgVD0DnV89Kd9mPd2NZD2xgGo9yPN3PWHZgz3NGY49+0yWPRcFmT0MxZM9XCeJPc+rfD0WVms93TJpPbZraj0Iu3A9cXN6PVymbj22Sl09+iNZPdIDUz1+kVM9VA1NPZZUZj1Ub3Y9DjVoPQfpVD0sV1A9pO5BPVNANz13IkQ9yD9aPXohYD2XF2E9WNxrPYI9ez3L9W09lzxLPbVQST0vRE49e0lMPf87Sz0UX0o9kLJEPVDoOj24WT09rh88PcVaPT1euks9MZFHPSvhTj2wMU09cddTPYfiZT2rgmY9syxQPQTGPj2Do0U9trdHPbzyRz0vdEI9r3pFPf5FXT3keVU9t9ZHPZqKTz0/Clc93OVIPYuRQT0ypj49drxCPSKAQT136zc9gMQyPd8TNj2dpzw9EktDPWWnQT20bjk9CLkvPSXzKT2hsmQ9vu/HPaE0AD5kXLk9ug/sPd45Hj4IqyQ+oJEdPhnxJD4D+SI+5t0gPgSdPT5NxDA+3Ar/PaMwDj4mdSU+JSwlPp7bGj4WqRk+NhYXPrhsIj4QBCc+/G4cPvLsHj6CZB0+aQsiPqj9LD4Mly4+lZ4pPntjNz6b1jA+80I3Pt9/Qz5ptTY+AGEqPg1uFD7qfx0+2r82Pv6aPT6i+xo+pSkfPqYgOD5NtSs+pCY4PsVuMz4OTDA+OpQxPj9zKz4pqxg+UU4iPktDQj4i+0M+Pg0zPhD+LD40wSE+B58mPt3nJz4TWjM+pI4sPu5HLj5U6C8+WMBIPiKVSz5lOSM+6zURPm7xHz7slis+qC0VPobjEz6wgCw+tRU2PtfMND62QFA+r2tbPvrAIT4C2xs+BIdEPmQMWD4uiGc+Lf9jPl3uQT6eQjI+PG4yPlEnOz6uKjA+ZuUsPqr5ZD7r0k0+EXRLPihFSz4J+TY+kkA6Pk9ePj6hmzw+S/Y3PtXfKD5l4CQ+9nYuPsUGOz4MLDI+eiQ2PggdND4v5jA+kPwyPuwRSj5y/i0+CsU7Pl1eUj4vpk4+L0FLPqrGQT7gtTU+YYpvPjn+bj7+rkM+ZKc4PvytJz4frzc+jZZQPsCdVz4VBFg+N4lXPg+AZT6BuVY+z4dDPrsdMj7PaCw+YS06PjAUOz7Sgjg+MQMsPsfyKj6maDA+QlIxPqpfMT5jYDE+kJk6PmtTPT7Dqjc+/i4nPpPOND4+vE0+mVxMPpu0Lj4pTRs+EysWPpqoJT5CVyc+n1InPm9rND7A8EA+ne0hPgxaHT57Hhw+q24nPkO+OD7dLiY+nFZBPh5WOT6N2zI+j7YuPo/uPT7nA1Q+qehDPtxIKj5Mkyk+Eq8vPrVeOD6/TjY+qbQ5PmuzPj6Ty0Y+WEJVPv4cOz49XyI+AzgqPlbJMj6R3jQ+QOJZPgd1QT5PgCc+IZg5PsdVTj4LOVM+WLpYPjxmQD79KDw+xAJHPhSINj45eUI+yldOPr7WTT5gMTc+hBQ7PqjnLj4YcSk+oV8sPqWHEj5Onxg+fFwaPkq8Iz4bTSk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/ArLrPa1Wiz3k/o49uHWIPbUOgj1QqXY9zOp2PTvbiz1OIpI9/z6MPSJ7ej0RWHA9uMZ0Paq8iz0Zb4k9F5B+PU0BhT3c7oY9byqNPf96jD22IYM9v9RmPUGqUj2PtkY9AglGPWc6TD3XS109jZVuPTIVgD10r3g98A92PY+BbT3BB2M9yctpPVTSeT3g+Yo9hQSLPSbbhD2SLoM9GQeOPdEGiz2hSIo9/o6QPVdhjj1DF4Q9h691PcsWaD1hdGM9A4pUPe+fSj0Zdk89eBRePU8VVT17ZEo9JbZGPdpqST3Fn0895FVXPRz3YD28imA92w1rPaYRfj1wMIE9D9KHPSM/hj2q9oQ9MW2EPYQJhz1CUog9dbCVPbvMnD3CvZw9LzGcPS18mT2r+ZI9+HuHPUx7hz2Wf4M9sN5oPfNeXT0L11g9VHdRPZTTUT1fQ2A9jxZ/PeEVgD32eXc9xRRrPfBkiT0Rtpg9x0CXPZk+mT1y2Js9NKuUPVAHfz2bQnU9QQdkPSlRXj3kRXE98TF7PShLhT19RIE9Rat4PcpTcz2vUm89RSZsPYNDYD2EfmM92jlePWUKWz0fykU97KBAPToRRj2bdlY9yfhdPT81aD3AXHM9Rd9mPf7UZz1NbWk9McRbPbfkPj1aJz09KttGPZIsRz3h2Eg92BVLPf9OSj2Os0Q92ilCPWojQj1XYUw9n9JKPV9WRj1aQlo9GdhrPdwgZz2eB2c9d/daPavpUT1nwFM99LZfPS9bXT2NJlU9QrxEPbCzQD1TUEw97VtDPSRuMz32fzs9BoBCPTVWSD06XVE9r+5CPVMXMz25tzA9vuoqPW6ZIj1HlSQ9gaUqPfogLD1SriU9qCgaPSebIT30Qjs9FDtOPUmf4T312iU+694VPkV78T13pdE9lLXiPaUeHT75Riw+mRkkPgLCBj5bLA8+EbYGPv+uFj4JbiM+5tYiPtyCDD5RjA0+GQATPvQnGz7Fdyk+TkMvPvJZJz6mnhw+sqIWPocFHj6dkhk+UjkfPjQTKD5wFzc+n/I8PiNSPT7fPzg+wg0xPtOeLT5rTiQ+Pn0tPsncMD58WjA+1bc9PvuPQT5fTko+TNdCPgf9OD6bBTA+Zl4oPlYBHz6hnxU+9ssgPutCQj6ai0w+BuVEPu/vKz5p/yk+gBoiPlmDIT4PGSU+8CknPrmRRT5nyU0+TFxEPuCKMT7WdTY+KTQdPugOED5nEyM+fcEvPujjMj6yNBI+KyQlPh8OOj7BwDo+TBw6Pgl0Mj5/zBg+P1EQPtOHIz44Gi8+6+UoPny6Qz7JFzA+2UoXPuF+ID4mmTM+8hkuPlBTIz5inEQ+gh9vPshqZj6YmU4+C59KPp14UT6wxVc+hYWEPkbIWT7AxSM+7DklPv8fLz5FWDk+51M5PvU0Pj7Mojo+wwo8Pr4DPj5duE8+5f89Po2CND65bEw+bq5QPg9yTj7pfjw+qyA0PtPnZT71glM+HWo0PnB2Mz7cQDg+WmhSPhizVz5W7mM+/nR4Pj12aj4EiWA+xUs/Pt+AOj7wIjQ+OykxPnE+NT56LTY+r9QtPkI3Hj7R3SQ+lj0rPufoLD6sXzA+Nng0PjYgPj77vUs+Ec4/Pr/cMj4PY1M+Ur9XPhgVST5wYTs+3U89Ps/tMz5DhTk+RXw7Ph22OD7xujc+DsQ7PguZOT4c2TI+qWokPhi8Jz6gyDU+iockPiG8Kj7mZC8+KU4tPjgyKD5rpVE+iP1QPnloOz426DM++k41PqJWND4pnyw+lxFEPunjUj4hOEs+QLdPPnqmOT7rvSQ+2y4tPvpONT4cHjo+bX40Pg9MNz670kc+4ns6PgsYWD70t1U+oAo3Pt+9MT686DI+UNAyPgckOj46YTk+9h8xPuElNT6b6yQ+6+EZPmdxEj5LWg0+np8JPjmyCD5XDQw++yohPshYFz4lLh8+CrcjPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf5EYBT5BX6E9y2iTPQwyjD32Wn49GRp0PeOEYj2D8HQ9UAaDPcjPdz2oQG09dTttPWhlgz2t1JQ9jmOPPU7uij3BtI89XdOIPXpYij0kBno9+xRiPeQjTD2SBU09ScZOPagiUD1XhFg9ZYdVPS/LSz1o8FU9lcBgPTZoZD2rA3E9j1KBPRzyjT3KcYk9bhd1PU5Ecj2hMW09H9lWPQUvXD2u7mA9JL15Pa4PjD2wyow9QQKMPZyYhT3N9H894h+DPUzecz1ZNWQ9ljhSPSIUUz2v2ko980pRPSvkVT177VY9dzhfPUlrdz199HY9Bkx/PcFegD38Vn09vmqEPQtDjT3PR4c9nIl/PXYZiD094o49R6qSPU+bpj0B1LQ9y9mmPVfcnD1r+Is9lbGEPZt2dz0GQm09tpFjPSEVXz1KAlw9ZWFaPadbYD1nFHw9oH6IPYgykD2xxI89GYqNPZ2Pgz2KK4899Y2PPe+LeD0a9XY9ke2BPV+Ldz15oGA9rMtfPZmiaz3q4nI9s5J9PQjtcz1MDn09eVx0PSS9eD0xiHE9waZhPaO2XT0mf1M9Dt9WPSApXz0eC2I9OWtSPUJ/Sz1RV0o9bjtgPce8bD296XM97PRoPSR4SD3PakM9YiAyPR2jKD3ijTU9PmdCPWHKUz38DFU9lBJmPaMmcT2sFWc9anptPSWzXz07ekE92sFLPWBxWD1gYFY9P1tVPcoVYj1CNnE99PZ6PScTez3lJ2M9QWVTPftMVz1SPVc9QZxNPSeENz2X4Cs9M3M0PTRULT1FjzE99FZAPQ1bRD20mk091glUPZ/nOj1TMjE9f1Y5PfnnLj0xHh09YvMdPUkOHT1s7Bc9/6gVPVP5ED2UTCA9gUAzPREOYz0RbhI+tbJHPlzQQD6zNCk+bNQfPgj2Hz4oAiM+9Oo2Pn+kPz4DrDo+MNAqPga1LD59viU+mUcePpuYHD7etSg+YdIqPijFLD60Gy4+BgEuPtU2Mj5PQTQ+f+40PqJYMD5BuyE+qE8YPsUXHz6v9x4+wlEbPnU1QT7Julo+RHY9PiozKz7N6ig+2FIlPkyZIj4ZHh0+a3UXPsRePj4HwVM+NflkPgHNcT6Q3Dc+Z0wmPjpMJD530B0+/B4kPuElLT7i/So+olwnPi/4KD6t2CA+owcdPucAGD7efxE+bY4oPtAjNj6KvDw+S9NDPn/hQz6U5To+tEUzPnyhOD4NTzA+bsApPgGXKz5C/y8+p/UlPsl2ET6+UB4+j9c3PkZrPT4a5kI+AbJAPkxiOD5Ts0A+dz4ePjBUET6RazA+5zcrPjIIJT5X+i8+01gsPl3lJD5Njg8+j6IwPmD7SD7FYDo+X/o3PkzSOT4fXzs+krk3Pk9pRD5nXjc+5OQyPs2iSz7hXVI+YxxQPuNBUz6/t1s+YKtbPu4HSj55HEQ+vaM4Pga0QD5Lnzo+DOQqPuq8GD68Ihc+Hf45Pq4ZPj7KhEE+vgkvPrqUND7/2kA+/Y9GPrS7Wj7ucWA+F8hnPoAQZz7i010+GE1cPjE+VT4GMkc+9BI5PqnjMD6piDM+Cao0PtMkMD7l9Sw+CoI7PgoKOj606jQ+PZQ8PiOxOT6NZTQ+J304PhMGOT6q/Sg+dDApPialMT6Fiz8+LT9OPnriUj7jYEo+mJJKPqpWOz6lvCY+S1MkPo7PMj6ClkE+3NU3PmYaGj7fZiU+kbEvPs79GT6qsyY+OhM2PjgSMj74fDE+4k1IPrmZMD682zo+qKpCPlmoQz58zTM+qTszPpawTj50ojw+lAEzPpEvLT4zUy0+UEsjPgalRD6NPDo+rxU1PiHpNj6wLzc+PIAqPqF/MT7HW0o+j05UPkkOSz4YSEE+MyolPsrGIz5h8DE+kS8vPsQtMj4/byQ+NhAgPiz4IT77fiI+xFURPiYzDj4l3xA+mNYSPt1iHz5UOCY+fgkoPsNRIz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9+ae89TbCgPTqAqD0gIZU9yyR/PZIneD2NGlo96AJgPXj3Zz3xE3g9xx2LPfMglj2E2pk9a56qPWXRpD1F5JU9l/mGPUO2Wj3QuVA9UHo9PdotSj2aVmI9qJZSPbvyOj3kEDc9NZ4vPXQFMz2vUkE9zpZVPcPObz2MxYI9SreCPZ7QgD2CHoU9+gV7PbsiZT3dEFM9/ntMPauXSz2DIGI9SBJ1PT/nhz34nJQ9gtOcPZRgmT3iwIk9/W2EPeqqXj2MeFI908xRPQMUVT2/cFU9SRFdPW4Wcz0nj3k9Z/l0PXoncD0S0oQ9oWGKPYTFgz3bjYQ9BR56Pc72dz3jdng9s6SBPZxKiT1L5o09OpyWPUGDnj2gnaU97sqoPQV7lz2eu4o9j8N0PQJIXz1rIGE9L2tuPd+Gdz0KR4E9/t+APdYLdj2CIH09SaeIPU6jjj2Mepk9Xy6QPV9ujD06Jow9BPaGPSJddD2E7V89OptvPQ8igj1HEYM9gPtzPcqifj0MlH89op1tPU20Xz1cVV49EphaPTFdSz13PFY9R41YPS2ISD3YyTk9Ucg8Pf3QUz0YPmk9TFFwPShofT2ljnE9ncdvPU9iaz3rOms9pMFgPfkUWT1X+0Y9hVFFPUfHQj1+KEM9tadKPdcGVj2OMmM9t2FZPVn5XD3xBls9aeZaPRFHZT3Xs1c95L1YPcsYWT3/AVQ9OWFQPQmIWz22amc9A0ZhPRS8Wj0Hu0k95tpDPVyPQz2//0Y9OIBCPZd3Oz1a2Dc9OeU0PW9bOT1xEj89cjdLPWeXVj0clFo9Q6dtPUHaRz0jwiQ9InYmPWpbLz1RMi49EpIlPdjyGz3AFhM9sGMYPQhdKT3NYS09nKUyPbKrOz12Y6A9kq0qPh3eOT5E2iw+Uq4oPkQZMD7zmT4+toM3PvbKLD6sfis+TiU3Pi+NQT4SuDQ+OLszPnShLT5jqCc+ii8nPk8wLD5mvjI+ucIoPnj0NT56lSU+IvIkPnJFRT5lM0M+0pQzPnGpLT4+tCs+uDUqPq1JKT6ItT0+//U8PjPZOz7VOyw+tH8lPqMXKT7oti0+7MQnPvwpJT6p6SU+gjlJPlO2Tj6bT0I+7n4ePkNXNz4SXik+NGkiPhd7KD5H9jE+/pNGPj3RPj7hmRg+4EQTPmROFT5jzBY+9sYpPmXxVD7Wz10+MG5DPgxFbT79wVM+/Nk9PqBoPT5g0Sg+AmUrPsWLKj5mayw+YPQkPsrpHz7YjCY+5v0tPtgtKj664SQ+WQYgPib0Jz4DGxk+WZgoPlQEOT4cVzc+VcknPtfJIz4R+kU+2548Ph+yNT7rcDk+PXgePni/Lj7RTCk+IvsmPix4JD7/5C4+nFk0PnA3Oz4H6DI+5VsyPoXrMT7k6D0+P0ZBPsGePD46zjQ+gDE9PuqrPz4OGz4+wq8+PpB1Pz5LmkE+6wNMPo7nTD5Mujw+GoczPqiHMT5fZzI+1H5JPtVNRz5oj0w+4gFSPkNxUT7rRkw+peBAPr73PT4g3mo+pxtlPkJyZz54U2k+ykRNPp8UOj6lNig+mgEwPnBFPT5aLkA+2UpFPpVyXD7bRE4+t6dJPhp7Zj5ogkw+cxcmPik2JD4DwDY+mwUqPkIH+j1vZQs+AnUoPlrJNj5FfE0+GD1ePl1jLz6LMR0+8PwjPvltLj6Bwi8+xhI1PiHkOD4FBi8+2QI2PhzCOz5sISs+CuQvPsKsMT4Cxik+n9s6PrUpQD6F8Sw+bIQlPsNzJj5WYC4+sQszPvjsRz4xhks+CgsvPi3nDT62WxY+ikcqPprEIz60A0g+uts4PjMzGj4KEh4+yUAePhs0HT5KECA+ZrAgPovqST5Qjjg+c/cwPl85NT7YwTc+FZE0PrujPj6Rbj0+pgdFPtqHRD66AyI+m9clPv7OHT4Qwwc+CVgNPgSSDz6wYxM+9mcZPjgJHj6JnB8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH99TTM+7rIaPk/Umz03dZQ9+5GUPa1fhT2hS389yl5+PUtCgT3gO4M9AkqJPZXSnj0bbZM9qLiQPSJslj3q+JE9OvJ3PVDOUj3rQFA9oItHPa1qQz3YLD49bTMpPXKSHj2lSRg9vCElPYSQKj2BWT09uyVMPbTEdj2buIc95ml5PWT6dj3MdG49KtFjPcnMbj2db2k9pJ1TPVapVT3pJms9Ot+APa2vgT2ZN4A98BaFPd1deT1aDmY9qAtSPXcMTz084lA9VTBVPYjyXT1x12M9Frt/PWEviz0PI5I9yYCPPcRLjT0dgI09xnqNPcqvfT2L2mo9106EPTs7jz0IlZE9CQCMPe7Nej1iMns9pE6LPUQ/jT3ZTYo9SFaOPZEFjz2/Mms9JnVfPSgMZj3lk2I9QSVnPR/9gT0bvX49EsSJPQBZlT2pvJU9CEyVPfWAmz08VZM9Y4uKPVniiz16NYQ9zJiBPS/pgD2imHE9aBVjPf76cD33L4A9du58PS+pdj2EAG49kgxyPaPRWz2KvFQ9MDRfPQuUXz3ehVk9xC1IPQ6ZOj1VTkA9xG1CPfXeRT1+YVY9eVhsPd28hT0bEI89oCKKPZBagz1VQnU9ql5TPXNiRz2AaFk9snlePckVVj3HkVQ9+h5WPS5VbD1dEHQ9QuxvPQ/0bD0dlGc9SmhgPeCUYT3M1209QWxePdptWj1WZmE9ZoBlPYP3gD33/nk9431UPWVjVT1rIkk9LpFGPcBcQD22Qjc9duk4PXIgOj37JkE9ivVsPb9kkj3JZ109CPNbPRYdXj1jg1k9d4JJPV/UNz1IsDc94tA5PdwEOT3pkzc9T2EzPWslJD23nyI9oWMdPQZeHj26/CA9CIMbPfGhFT0lSlk95bT3PZ9UID6T+hw+GjofPrPnHT5OGiQ+td8xPsJ1Mz5mFDk+OwI8PkSaPT5fGkg+MHIyPjkcLz7TPjs+yWI6Pjz3OD6mFTE+byY0PrG+QD4vT0s+6e0pPoPpJT6iNjo+UgYxPjGdHj7FcxY+rLopPs9lPD73rT8+ljU9PtWRIj7xmRo+7wgSPv1eCj44QRM+MM4cPuhRCT42iAs+9nUnPsG6KD500SE+EuMMPv/jEz71vTs+8bYxPkmpFz7n+R4+4vgnPmfILT4GHzg+d6A5PsveJD6bVCE+zMQpPgJ6Pj4dOkg+MVM8PrWqLj6gBy4+gKYjPoNJHT679h8+kI41Pne6PD6u7jw+9bQ2PoYINT5H4io+EXE1Plr0Fj72txI+cGwUPqhAEj5qAiw+OSIkPkwUFz4oXRc+8YQUPsv9FD6icR0+UA0wPvOMRD4Lpkk+rZs1Ph1RLz6IdCU+GNolPiCFKD4oOSs++GEsPtViKz4kUiE+u+QdPvuQPD5WvWQ+AG1IPh6WPz6D5js+eE41PsZ1MT6AbCo+vEA2PqrrQj7RvoY+OrENP5z7pj6JREY+y9IxPpskWj5/GVo+tR49PrxqKj7vKS0+048oPjpMLD7X0S4+gxk2PvavKz55STI+8pt6PkGKaz6/HjI+9DQyPjHuOz5+UEg+ChZMPsPgPz4ztlY+rSVZPqikUj6RnUA+JZ40PjdeXj7b7WM+oKFbPih4QT6VETM+vMEyPiY8Qj4mmTs+OF0nPqIqMz6uoTE+Q+o0PuKNNz4yczk+F4BhPh2XTT4c/zA+SY8gPvRZIT6ouiY+wIUhPlZOJD72Ejg+cC8wPueSMD6sWTA+IFwoPh3CIz7DFTo+5NZFPv8bPT4ELDQ+h5oxPogZND5kLTc+nZNQPhc/RD45wTI+Des1Pn3GOz4o+zs+FHkePv3LET5i+xo+bPYePiLJID6LiiI+PeIrPoD/Kz4mWT0+CXxNPtS3QD535j4+9Vw8Po75MD4SFSo+/bsnPnD/MT536zI+x+YfPoRAJT4vgSQ+r2EhPjVrLT4ORhg+dpoVPmfWHz64yxY+PIIRPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Eg8hPom2Gz75Kqo9d6KWPe1/kT3dT4I90nZ8PVeTfD08iH09cb1/PU10hz3XKow9YpJ/PS5bbT2JC2o9WctVPdIFSD0V9VM9y/xXPQCdST2XnD89/O4mPbUpJD2zBi09MMA8PTu0RT2S5Uo9q3RaPfLZWT1AfFg9wRl7Pa0fcD3Kn2c9aiRgPXxEWz2cHF49hoBiPQQZcD07lnw9kwKCPYjagD01wH4980OBPZkqZD3cMlU9CzRGPZHcOD0pTkg9NTJgPVIJeT30b4g9FQ+NPU42jz2C0JE9tH2OPbqXgD07lXk9teRzPbntez28q34907B+PW7VhD37OZc9PgOhPXBelT1UUH09Rgd6PVwGgT1dVXw9bZtsPfDYWT3jeVc9jhtePR9SWT1YpWA9HiJ+PRVnhD01OIw9DJSEPaVMiz0T6ZI9qYaQPbz5jj2gZZY9i5uWPWBEjz3bd409riiCPWv4eT26SnI9xgZ5PRBOcz3dnW09VhFwPX0gZz2olmg9FpByPeGvZT1ATWU9fwJtPSApZT1YT2Q99WNlPabHXD355VE929JIPXzdTz2oO1o9AYdoPaPlfj0BOn09YiBrPUUKVD3DVEI9+NBDPfHERT0b50g9QqNSPd0BXT2TgGU95vhoPcc/bj0unHg9WT1+PRjReD3tam89MjZlPeEUVD3flVU9p6hQPUHRVj1vrXo9Q+uCPV67gz3MmoA9mD1iPYPWTj2s+0A9pB4/PQ6iPD0jPzw9YeE6PWCaND0GFzQ9wrM9PQZUUT2zKno9V5JePdk9Tj3Sz0U9eHM/PTNYOj0UTUs91qlNPb9yQz2PuzY9iDw9PdoQQT3Pwz49+IYnPTs9Jj0Z6S49vpESPa8UCj08Mg49IAvDPd34KT4JNiQ+0UccPttVJT5Guyk+Mh0xPkZNLT4j6yg+If01PhzRQT4GfUE+E9g4PiQhMj720io+gOM5PvYhMT442ic+bDkrPi3VST40O0w+SnA/PmzfNT7AYTo+IqU4Pho/Lz6mxys+ymIpPmFXID4HmR0+cPgiPnVbLj7IryU+44MKPqTn5j2ilL09iIu5PWsGoz3xsp097ZndPR9UBT49gTE+erZCPuzPLT6N4iU+yYMtPvlTJD403hE+FpMePmRALz6JxSw+dRQzPiPyQT7aCjM+wFMsPgnKKD6dhSE+NmEePu78JT7H7TM+XJY0PqScND61kjE+1cYsPp8+Lj4pETw+v2QnPk4gHD5ybho+1TEhPq7NKT6oJhQ+bnsxPmocNj4fjS4+kV82PuRJUj6ItCg+a/gUPqWEDj6Oiw0+L/YQPgcXHz6XGyQ++kQgPsCYID7JaCE+QMdJPgL1RD6qnCQ+jpQvPrq4Wj7H2mI+lu85Pk/HSD7oMzQ+Cc06PimyPD6AMCU+rIIhPuQ6Hj68mCY+72sxPjC3OD67nVY+PpOXPpcXGz+MlpE+dTX3Pd5rDD5TEjE+k5UyPoeLKD4BGjI+P204PtgmHD77TS8+VRUxPmm4ND4uzDA+kQA6Pui6hD6Ohmw+0B0tPpokMT79I0I+gW9UPoPsTD6M9D8+tvFGPondVz69dGk+CaRUPuBwSD7dUTo+LopBPg/9Oj7lbD4+S2k6Plu2Lz4Vkyk+DoE1PgaeNT45eDg+q+Y2PnJ/JD72aEE+GFwxPjbiLz5PaSc+hnQdPnEHEj6r9hs+OHQkPsiNKT45IDg+0fdOPoIlLj4yXyc+wTAxPqeNND69YDU+FZc5PiYFQj7HNkU+dMJCPqJCMD5kryA+j0cbPtUCOj4VJFI+uZtGPv9EPT6L4TI+yBojPhEOET7nnxU+k/8fPrAPIz7AcCA+n6kfPrGGLT4daDA+sfM4PuKmSD6w7Ug+GqZIPmSGOj7q6Sc+qvspPmPRKT4IoSE+XZ0gPuysJz6cYDE+VdIlPqVWMD6X/VY+elkfPgyRHD53XBs+inwkPsEuKT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf91v0z0QTsU99YWXPc3uhT1PdoU9aOuDPQ/bdz1sbXs9LwWAPU6aij0QOYk9bPuLPXEmhz3b44s98e6NPStyjT3282c9+H9KPfEeUz1ETkk92flGPUIiQz3ebjw90K4+PbdiVD362nA9pbl2PZSjeT2Qomk9pjtWPT0mRz2B6Uw9NdZMPfOvVz1n3249saiDPaSzjD3i/4U97zuGPfvEgj17NXQ9tr9yPSslZD3c9Es9YRxEPUMWPz1EwEc9CMtePRYcbz2om4Q9lzKTPRbVlz1cmog9YM9zPZXGcD0AMYI9wZV/PUD6fD0BeIU9eaWSPex7jj1lXIU9/gWIPfNWcz2NZWQ99plfPSnvej0OvoA964p+PQmEbz2GyGw98w12PZyBbD01R2w9//J/Pdgqgz3Jk4I9CHN1PRePeD2aKIk9heiSPaopnz0IgZY9u6CTPWqQkj0EjII9LaV5PYlkez1kyGg9rchkPVzPXT3/BGE9eE9zPVjTej0lq2o9GY5pPT/aZz2f1FU9yQdePfyHZj1XgGA9FUNnPc5ecD1tOWs9N6hYPQfTWD3dVms9aM9/PaZOfz0OwXw9bfVuPQ/+YD3lg0c9+lQ6PbvGQj3/W1c9DiFYPbQAUD309WQ9lyaBPUkDdj1woGA9wVZHPb7gSD0YXTY9qUo+PRacRD1flU09eUhbPVytWT3p/U49a0VuPep6gj1kjoI9hUBWPShkOj2GLTw9tmY9PbkFRD20/UY9izVHPUf+RT0dCEs9D8NBPVPWRj17yE09ZdpZPfjzTj3Ljjk9e1EzPYHFMz1tCDY9UpNIPRXWmD0zCa89rsJFPfaoNT3ppDM9l7ArPSIeDz3vGSE9HKRTPYbsXT0ntaw9Un7HPZ6NMj6PASo+aRojPrhDIj75tzM+Zhg6PlD7ST7NlDg+IQAzPmaYLz5HxjI+BVkxPnexMD5WaS0+NAwxPu28Pz74Izc+tdkiPnVaIz6CKjU+BItOPrXdSD45d0Q+WIo/PndIQD5pH0g+PQ1OPudwOz6NvC4+ks0kPqd5Jj7FMTE+KEIwPhyQED5WBAY+XTkEPgR7/D1U6/Q9WH/XPRY6tD3Ej6w9EonxPaqnHz7fFSc+tvcmPgHTIT4zMPk9v1LvPTgxGT4t1iQ+9egrPlszJz4jVjM+9totPnw0KT6vDC0+yw0rPl44KD5PpSE+efoxPu1FPj4epkY+ofs8PqZqJj61SCg+LTYrPgtaJT7jiTI+lJcoPh9vJz4NpzA+OEUwPrVlPz5b/jI+5v8sPt10Kz7+HDI+ySguPuVjOD5jVCs+iz8kPm7jGT49FBc+HXgQPmlAGj42IR0+P2UaPqujID66qlY+oGA+PgTuKT6OqDg+TrY3Ps1vLj7mr0c+gXE5PpMmEz6+lRU+QnQfPk8vID6Lsxk+yAsVPlBQHD6EODA+gdWOPjWRkD7KVFc+asIlPqPjBD5vugo+u6w0Pk1cXD7McGA+gQN3PqgRNj4rB9A9vSnlPbUCNz4kq0M+AEVPPlQyTD7Of08+lLNLPpU5Vj5BXVE+j5xEPu/FQD7ydSs+79c1PpWXPj544EI+JHhDPibCNT65qTA+h4kvPjbGOj5UdkA+5xk3PlKVNz4y7j4+ZJhGPsU0PT40xz0+gLU4Pi5XNz6wgCU+uy4lPnxNLj7Q8j0++C48PmgtOT5toyc+QDMcPnJDJD6Mnik+7cczPqpcQj4pGyE+fT8sPlabQz6umlI+yINZPk+GVj4A7js+034yPr3gOD4ZQzk+IIw4Pl2ZOT5nOUs+HFQnPnkqIT42Nig+xncpPo4SKD4KziI+NJ4gPsXXIz7Q7iE+hjMhPqq8IT7p1x8+2RYjPpnyGz7Tbjg+LjBIPkL3WT6TCU4+z0g4PoqeLz7IcSY+nx0qPoG3MT5ARzA+B/8tPmH1JT4VAio+pM45PvBxOz4GqDQ+QegkPhJzOD6Ds0Q+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH++z+A93sSnPfHVnT0jnog9x2WAPVqMdz2XpYA9+lSPPUm0kj3tiZg9Y1mUPaTKlz1sapI9KBuUPRG1mT0nzaA9UEqIPfQccz2HLWo9bzRiPfuoTT3PJUU9VrY6PVdBQD1r+F89csN2PX4vYT1IHlk9JJJKPc6vSz3cwVE9cIhXPTB8ZD1aRXU9TCaHPQxzkD0lB5Q9IXeOPRnChT0c0H09CKNuPRFYWT04Cko9iXhLPUmZSD0WVFA9kGpkPXQHcz2tZHw9De+QPS9ulj3Hloo9ymZ5PecUcj0W+Xw9H9+FPd3lkj3XsZk9yMecPQZhlT2wzog9BXhdPdQqWD0kLmU9Ch9pPRY9fD1XopA9h7GWPaN0jT1WHoc9svyJPbwBiT25xm8955t+PTkkjT2qAoo9/mODPbM7gT3R4oU9H46MPatqmj3a65g9bt+YPUvllz0eOYQ9tZRnPfUNaD3UsGQ94wFfPUy7Xz2s5WE9NY9nPZGCZT1hSGc9HUVdPWJKVD094109q8FlPSFkYz22cm89bPVkPWJOUz0A7VQ9zLtcPVwjXz16DGQ9oIRfPUi1ZD0HX2A9aHFNPZmtQT1FDWA9YvRTPTzAWT1kyGQ9HcptPWsCbT3TG089I7hOPYLeTj1rOEI9EeJEPXQzRj2GGEw9BJU4Pa+wSD1Ookk9k+5NPW5lVD0temM9+qlbPfyeVz3ZiVo9NX9WPYoLSj1PHUk9/DBgPQNsXD28UVo9FRhbPWF4VT0P6D49oxxCPYHjRT2NRUE9I+tBPd4+Vj3feEw9Z0dEPaoZSj2KpEM9dP02Pe2JMz0t6i892BkvPZagJj3tfDc9RytCPcJvPz197QY9+CsrPR7jzj38DhM+leorPqUUND4yWS8+hWYdPlfRLz4S2CE+ms8uPg/uNz4OvDg+vIgpPogAKT7RpCs+3EYsPunjJD5HbSQ+lZknPtZtMD7oZkI+bLI4PmI0Lj6EzSo+gy0kPipeMj4pIDg+HaBLPm5mYD7JoVw+30RcPt9UUj4qZUg+Ahw6PooRLz4EC0Y+BFRBPluEND7hAio+UJssPjtfPz7hWjY+urk2Pk76Oz6RqBo+QDMGPogaBD5oXxA+4QgJPnCaCz5GeCE+8BkgPjjzEj4N+S0+JM88PjaLNT7gXiU+nOAdPgJkFD5SGxU+608cPunpID6QFTE+FUQmPprzLD5c1D0++npFPswvQD5m4jw+C1QwPkW5Dj7U2Ro+uk0cPmlhDT4sfRU+1O1SPkhQQT7+uTM+eXgmPjp5HT4OmA0+vPsPPnL3GT6FlS0+8j46PsxWOz679ic+kzAePvFiED7OdBY+LnIgPj1/Fz56VRU+3PUtPjNNOT6nkTw+7Gk0PkraLD40ei0+aE4zPk0LMD6CXSQ+MGoYPsASFT5DLhU+2+oTPinLET450BA++rUVPnomIT5urSQ+7mhDPpmlez67/Eo+5OEkPlW+Lj5LPE4+VR5TPnkZNz71UgA+4PnaPQLe9T3GBAE+I/IaPlRUWD4VIko+LlwlPvaOPj7DTFU+Ejo/Pt43Mj6vqTU+D0svPmjTPT7RGFQ+389FPhKfOz4MuiY+GNoYPilRLj5LWTk+3ZM2PovOLj6nAyk+LDgfPlCTKT4psj4+mRpRPmxqQz6WujM+j7MvPv0YNT5sZT4+heNUPlsOWD6BmUk+9V8xPmmtID6tGC4+BZVEPn7mUT6GHEg+IeQuPpsvNz76o1E+obtGPjYOLD5gKyw+fxYtPmffKj4RmDc+fhk1PhgLOD5uKjo+Jc5QPhyjKD5+IBg+fwAkPgO8KT6rlyk+wB4fPvbbND78GDQ+XWQiPvFPNz7K/D0+zJAzPkFXLT7DmiI+zhMiPtA+Qj62+Gw+EL1nPmNgPD7QISU+fGIlPqlpKz7yXSw+0k4pPmjeJz5cBD0+aZ4zPrgDKj641Do+b3c7PtDTND4zxSo+u6UoPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/aVf6PS70tT07Eqk9MxmWPUF/jT0m6oQ94eGKPWUZmT3D+pM9o02OPVACjj2TOJc9KN+YPSxonT32R6U9hv2fPXSrjT2dMYI9i/pjPWqAQD0PNDA9IBEzPVz+Pz36LlE9IC5bPe6bRD0mJTA9kRAuPeXVPT1O5Gc9wAFWPeYxYz1hcXk91BKDPZzGjD1f15M9KFOAPXgPZT2QjHs9Km2BPTVBgD28Fm89wAxyPRxgfD0iZHA9hmBpPXW4bz3PaYM9AliBPadybD0/fl89IsRbPQmPWz1uJns9MfySPVWjlj2MaYw9QpCGPVB4hT2W5nc9GaGAPe4mez1WX3w9DdZ6PZ/vej0LDIQ9DOiWPU4lkj0ULYY9KGZ1PYTKcT1yHnI9dGJvPdoniz1Fy5w97RKSPboGjz0Pa5A9Mo+YPWk7lz1XSpA9o3t1PaG9az2qdms9NHZhPZJ9Zj0G4XA91QFoPcBvaz2jZXc9n8t2Pblocj0KymA9/z5lPROqaD3W1lA995ZQPXFVSz3Exkk96R5IPaJiTz119Vc9vzdaPaguYT0JC3I9rvNqPXcrVj13vUY9jjJCPVZVRT0hSlE9EABtPV9zgT2VZW49o8xjPSI7WD2yl0g91UkwPVd1MT2w5Tc9wLE0PZHNPz1iMVo9685kPdLZWj0wE089APNLPbAATz0UxUM9qJE4PXwoSj2rLVU9dC5VPWoUVz3Ws2Y9sddzPZNDaD2og1490o9RPQG2ST0uHUY9qwRRPXrVVj1y01c9Xv1hPSaDVD35J0o9JnxCPRjERj25JDw9sw4qPS6SHz17RBs9Yy4dPanaMz3UYUU9/sKEPQ65vz2XcM49oE6iPT6xvz1SKi4+iMxBPl6lHz42MhY+NB8XPkceEz5+4xc+EioVPjlcHz5RjCg+8tAnPio7HT6Y7Rc+ROcnPv83MD6JVR4+4lYdPrMjLD6rJj0+tVkmPjGXRj77kFQ+NDVJPhJ9Lz6t8zo+kZlDPr1NRT61jDk+aMAyPgJQOT7xFTY+n9QvPqv9Jj712io+oDA6PsbMOz6Zyyg+Uag1PoSUTj5Asz0+oZEnPinPID5Wbh4+eWAmPtlGDz49zhU+OAgdPkwJGT4/cR4+VC0oPmtnKz6vXSU+aFUDPtbF3T1WYrk96C2mPXpXmz0fFak9duSvPfWsrz2Wbr09C9z2Pcy3HD5wChY+Krw7PvGgQj56kD8+kcE+Pk4QPj46WSE+YcAVPtwAKD5zui0+C94tPswKQz6pojw+CDI6Ph34Nj503zY+OlMwPuu1Jz6amjQ+ldM4PvJ+Mz4y0Dw+K5tSPgAWJz6c6RY+Y1ohPmCgIj7QIRQ+BCISPiE1FT6cFRw+bzEpPvPHHj6oIzM+ynw3PkhqLT7RIhs+0uYePqaWID66xhc+h0cOPgH9Dj7YoBE+FiMXPtGZGD7WSBo+5zUUPp/QFT40RRs+TtwcPiRSMD67+TM+dnCZPnubkD71CEw+fRMMPjB3Jj6Cqlo+RCx2PjJ1hz7ikIg+9JQgPgRYvD0STcA9Y5fJPcmv1j1wC+E9/0UDPqo0BT4XihY+IDY3Pv3PNj5l/Tc+4ZE3PrncKT40lD4+gOw8Ph8CJz4VbzI+8jw4PssaKD7PRSo+utkzPsVcND6dOzM+QpYwPurmLD7rGTU+ufo3Ph1JRD7m0EQ+5a1FPmzTOz4B6jA+toIkPlVlLj7glzk+HTgzPnRTPT6U6zI+OXtDPry3PD6jWkE+5a9JPnGTSj7kpkw+/rJMPkxsLD5xaCs+7gIxPnKpKT79rSU+Ct4jPhxnJT7Omyc+ldEnPvleHz5FxSk+bjAkPvgfKD7SoD4+e6IyPlFAMz6MYDo+gEQrPsDIHj5xI0Q++ktVPjf6Sz4IvCg+LQ0nPtlKKD7BNyg+yk4uPoHuLD4fSiU+Rq8tPj9YMT4ViyY+67YnPh4GKz5+by4+0m1KPkyRXD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4WHHz7WVdg935CTPYsxkz3Wd489gyeKPeDKkj0qWY49TmWIPWEaij3zk5Y9iACXPQqdjD0GI5M9VKmaPS/xjj2BWGo9skNQPeKiPz2kE049oGdYPcjCTz1+9EU9wbxKPUwnTz0XGVg90WpNPS7eSD3oA0w9CRlWPQ65Zj2tZH49Z11/Pb+Nez1ZJXs9pgd2PQDgbz3cmnQ9zCWOPT+UjT1R1oc9BcF2PR4Iaj2EW4Q9KXaKPZ/IhT1PNIQ9YV+BPaCmYD2WlVM9vXBUPcZwVj3FVmA9SKp6PRidfD0o3oE92p+DPch0eD3joXw9cmN7Pduqiz1lsJE9Q9eQPQ1flD2iJZU9EpmVPX1Uoz18C5Y9oHt2PWcHcT3yY2o9D/RpPc/Fhj31lpo96WWbPY2NkD0MNo09eTqPPd1RjD3u2Ho92FlvPV8AaD0SB3A9vGZwPU5Ocj26/3Y9MoRtPeduaD13hWQ98ZVxPeJPaz0EY2M91UhoPdwCVz1DQUc9xUZMPS1bWD1d41c9PnpiPZClaz0W6Xg9anV0PcY4fD2SK4M9POCAPZS1WD3i80A9JCZFPV5tRD0UEko9GXBTPSXoVT0LBko9CvY+Pe4tNz3FWTo9M4w3PbEULT2L3SU9sMovPdfKUD0epFs9k8ZOPSnaQz3NbVE9TyRTPdbSPz19kTI9jA41PamCSD2kr0w9DphWPSn3aT0MA289aslmPSfxUz03S0Y9hbFRPaHyWT22M2M9tlBvPYDHbD0Pul49K+VRPchpWT3Vyj09Lr0xPYZ7OT2PyDs90E07Pc0ILD0Mzic9Q6cnPbSSEz3QHQQ9n29EPRBiAj4+Gmg+zCuBPqVyWT52lDA+l+U1PjDFLD49xiQ+AZkUPvDLEj4oBhU+zKgcPh/cKT7xRy4+8sojPtjiIT5EbRo+V4AOPtlzFD6kKiA+agwfPqOyMD6GNT0+j9k3PgRfKD6VKzs+f/lIPlLdMj5mFDY+Ctc4PhBMND5jbz0+dwkzPnOdKD7DuSM+iAssPkE7Nj6e1i8+seU2PpfEOD4RfzQ+mMU1Ph9kPj6VATE+2C04PnNUNj4BWjg+new9PiAmTD4mkSQ+vPoVPrpdJz4kvSQ+zL4kPj7bIz4VDhA+7PEWPnZh/z2af+k9vHIDPlZnIz7N+fM9lFXEPXSvsD0Qubw9ZHTFPaEGxD1deRM+2zQYPhdRIj4PsCc+0jgnPjtlND5ESDo+/YEvPlFuJT4GwzE+QzI3PrggMz6+Siw+a+MoPvoHMT5F1ys+YFAcPllpGj5KfDE+s1JEPvLOOz48Pjo+SLMvPqHlKj6PrhM+fU8hPmyLOT5F+zU+CpMvPtmgLj6S/C4+Gqk5PuFCLz71ITA+3upBPnncOz6L0y8+xrssPtWkLz4VlCg+BGYbPlj3GT7WzRo+Br4hPlbVLz7vFjE+VU8nPg6dLD7xTSQ+zWoOPjBlCT7bjBU+JXkpPhoeNj7tyis+SEQePot3GT7ElzI+89NbPoC9fD4vbXE+p2NXPidlRj7xFBM+nDTiPRkNtj09CrM9OsyqPQ5voD1ffnw9kOCXPVGUzD0+tQg+KTEjPgOoRj66gFM+P9JZPjpsOj4FER8+1yoZPsjmJT7I1yM+evIgPoJvKT6x3jc+TNo9Pn4lMj6LjCQ+W+AzPnSMQj5fh1M+XHJaPvAkTj4IRTg+rrAuPqILMD5dzzc++oY3PkEXNT4NbT4+L3Y+PpSJQj77Lj0+V9Y5PqEoPD50B0I+fnxIPr8WQj7sszA+Ms8uPmaOMT5ztDQ+TTAuPh7ZND4NSDU+4ZslPiUpJj4GUCY+nywjPtUOHz5JRyY+lhgvPv0UMT400TA+glsxPiVAMj5ZjzE+QcNLPkqvKD6x7CM+3vIdPsSFID4OTCI+MRYlPrh+KD7pvig+vjM1PqGhTT5V3i8+XbYRPnYdHz6vpC0+ZMErPhjRIT7hHxw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+riAI+lufOPc8okj3vaZE9v4GKPTaLhj33A449iNCRPajalD0udpM9xYqYPS6PlD1LI5A99p+KPd1Ufz1tsmg9wLlVPcSORz275Eo93PRJPVyfXT0lEmE9w8dWPSJ6Tz1T4EU9etlDPftiOz1nNTw9oMFNPcU8Wz07HWw9f89uPa/kZj3gtWg9BaZlPYilWT2d1W49ztaAPVnAeD0hY189LUZaPczTXT1UQGU9g92DPcTzjz01tos9H9KCPdNwVj0mJUo9/2hUPUi2ZD0PpG49bS54PRexej1EqYM9JFGAPc/dgT1h9Is9FEGTPUVnlD0vb5Q934WUPRfRkj20VYY9ZE1/PQc9fT1Jk249ktRXPdHQVT1gonM9YkN8PTpAej13CYo9XkGRPZ7ykj1iMoA9jtxkPVm2az0jBHA9B019PdMdhT1jwYU9eKiCPRJCiz1QPYo9HmCGPVJ8hD20p3c92Px1PeKqbz3tsmo91eNdPe8yaz1sPGI9yOpXPVZnZz1GrVY917ZePQa4dT0u9nU9P45/PcZrez39Wm09rQZmPTxOWD0XZ1Y919lbPRSbWz12+lE9gl5MPfcMTj3Mw1A9DPhSPQnKUD18GDg9a1UqPaFlKD3j0is9PFguPaa8Pj1g3Ek9JBJQPRV+WT1NzmM9hZVXPbRCSD2pEzo9c5kyPX4NPT2oAFw9NfllPcUoXj0PpFA9/XJGPTElQT1C9Tk9swNHPZtYVD1pWl49St5lPQjeZT1PoUg9B3YuPdIdRz0Y71k9aFNSPfXrTT082WQ96J1iPfGXOz1aeEI9d0WhPXP+rj2NR6Y9qXViPUqnaj2uTxk+vrVoPrSPdj76tm4+Hz44PqUGHj7lIhA+doYUPtWZHj7Chx0+Oe8NPgsZED76FyY+M4QzPtjYNz7liTM+648jPgdDDz71gQk+VLMfPlxTIz54hCs+SgUpPn7bJD6dByo+mNMwPnfPHz4YOSc+teIlPozUJD4G/iM+t04nPjIQMz7EyCc+LTwiPkmqIT6wJTA+omo5Pk3sJz5RyiY+eGcdPgNAHj6cDDA+gAssPoKWND4wKTc+dgtBPlI+PT52NTw+u48uPoQgLD768y8+W8syPqCKLz5vIDA+fRc0PlyqLz70qDM+5zg7PncvQT5k7Tg+1KQYPtEdLj4P5iM+WiElPuWYLj72Ujk+oW0hPlc5LT67Szw+SYkaPuBFCj5vis89kWGuPbHO6j1x+xE+6j8iPgzoMD6uNzY++9k4Pkc5IT5aoTE+yJUyPnZ6Lz6m8y4+GdgpPscBNT7tBSo+B0wuPtkeNT6UrDU+No4wPlZHNT4HXi8+U0QsPqf8NT6BfDY+Z3czPs9zMD7A9Tg+BE1BPgAXPz5smi4+C0EuPonGMD5NcyY++2EgPnKZIT5XyCw+yvkpPsDzLT62J1U+e8VdPiwAQz5b500+9UM+PteaIT5FEAw+HGUPPpQ6ED4s3ho+t+EgPuEJED4iUBU+XLgePlOKHD5JLic+958UPoh6Lj7HPE8+nHEmPrHO7j0o5so9oyzOPadn1j3NpNY95MmVPVYq3D3S+vY9dBP8PacPEj7tUjA+GaNNPgd4KT6tGCs+LQMyPqNgMT7jBjY+aL8+PgCzMT6rQSk+PDs5Pr1ZRz7IXTw+4sVFPseRSj4+ckk+i69NPu//Mz6mRy4+rIE1Pp0/Kj4APRs+B1wgPvZwJz6ORCg+DR0hPjupLj60Hyw+R1Y0PhLJNT460TU+pa1MPrW7TD4hbTI+08IfPo/jIT4cbSw+SoIwPqSsPD6X3zM+Qb80PlmXJj6iUhE+kpISPsKYJD6qHy4+Z8IzPgHULz4mGzQ+MQY1PqisMD5l0h4+rQ8hPqdLMz4pGiQ+NK0ePmhrIT4cCyw+MEYjPtrhID4Ll0M+/MoqPltLLj7Pzz0+qu86Pse4Mj5OQR8+FFozPppHNj5tby0+WEcjPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/kiQOPtr4yj0MIIc900iEPWUZhz0eEJA9PxyWPWUmkz3wNpc9FHSYPWqfjj3UdI89U/OgPSAAmT0tQJc9nCaMPTIIez2tl1M9gdxTPehAXD3m6V49zxlZPQZDXD0hQ2E95XRKPUd6Mz1dDEo9w3JePYHrZT2zOG89clZ0PVMSaj0gzFc96mdSPSSLVj2TV0w9MbhZPfrEeD0UuXA9tFRtPUEMbT2ruX492bR+Pa8efD0xyIk9+kyFPYrsdT3f7Go930tmPfp4bz3lDoA92J1zPRVBZT1AD2M9zvJuPTqPdD2tQno9YoaFPel9mT27wJw9Kf+cPRytlj1X94M95uJZPfG2Xj07U1o90llWPX+mWT3j6mw91ll5Pf2Kgj3j/4U9YvCGPZ1ZhD1CyXI9z6pvPa1dZD2gOnQ9EZt4PV8fhD2pkos9ysWOPeiPkT3MsY89ZYGHPW61gj2azH49uWJyPaU8YD2prl4954xuPVZecj2mv3g9N3GCPeofgj0yJYw9p3+DPVtlhT3t7YI9Rt92PbFMbT0TgWE95NpkPanRYT2aVWo9A0x4PSTXcD2uYWg9M/pYPb2SSz1T9Ug9D4pXPSUwZT3zjF49vvRLPawPPz1nMkM9ABdcPa6rWD2yBko9ksFTPci1XD08QWA9SL5HPcHzOj0lcTY9WwY7PRPyPD3GlT89z19bPYRAaD3mD049E/NSPc2NWj1aLFo9ikNaPRZUWz1//0g93zQ9PeQtND2w9C09ei0rPT/vLz1ggD49Cr1SPY5YUj0wYVA9DfVQPVVPQj2DyUk91w5TPWEpkz2znZg9aGGYPXKXvT2u3AI+ydEOPsziOj4n/lQ+cHtNPj14GT4CIhQ+JiMWPkbbHT716hg+I0sgPitXGT5hyBk+dRAlPoZ9Jz4Gcio+bAIwPjo/Lz5zviY+rOYbPiGCGz4bZh8+y7kdPsh5IT71aCo+wXwpPhmIFj5nGxE+7t8ZPni3Gj54JBw+KjokPixjKD5MhzE+0nErPgYxOT79jzw+Ry0+Pm8RQD4T9Fc+mkxMPpf9QD6Z7zU+Vf0yPqNsPT5O8Dg+0nMxPiCyPj7R+zk++3QsPq7POD4sLkg+guZGPuckOj69DzU+ZLw4PgsUNT7PSyQ+A1H0PSF//z08lgs+kgIPPpzVBj4lGig+ZtAuPp7kNT4cIzk+cn5HPhVGOT4HSTg+Jrc5Pm8jLT7VTBA+52oBPku5xT3xV7g90mThPZ8vDT7HHQ0+lA0LPr4CFT4j4B4+MdkkPiULLD4d/z8+jRRFPnsELj7DpS8+uoo1PnglKD6eHyY+t0AtPkYoND5L4kk+vxs8PoJBOT53vkQ+JNQzPqkmMT4VTSY+8ugdPqoZGz4XtBw+ySIxPuVeNj5EUEQ+63g4PtJNNT6B8ic+dKYgPs1YID76bR8+U0I1PmElVT5nSk4+0fw9PlSDPj5LJjc+qWsiPhTAJz7yRiQ+UDkmPk0bJz5HVhs+ZZwePuyYKT4F6xE+FahxPthS5D6c05o+TJcqPv38CT7xmSg+9F0WPhgc0T2iWao91g2XPZURjj2di3w9wRLAPZeACj6zTB0+7usFPkldIz4IPi4+KgY8PuHQTD6ks1E+AMdLPrARMz7etz8+mTowPs3ENT4T2TM+o84vPu9rOj5gGkM+yDc4Pg/4JT6q0hw+NQEaPj/jEj523R8+qMcsPuB2MT6e9x8+w9MXPjRBKT4XnCo+GdYgPtSGLT55FzI+3swzPrEONT785Co+rX4pPqPeKj4pqjI+4xAqPscEKz7IqzU+kLQ0PtsPQD6HxCE+tPcnPg2OLD7W+y8+RdooPnAsJT58fDA+crQsPioxKz6DRjA+mUUxPhEDKj63RiY+F7IkPhDFJj4p4CU+EV4jPoEiKz4WXSc+x1w7PqkGMj4lgy8+pkIsPn1hMj40FTI+84ssPkDoMj5c9iQ+yu4ePlZVHz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfydGOj78Ze49JB+MPeqRjT0BX5k9T0ejPd+hlz2lz5Q9Gp+SPUP0mj3gQJg9MVuSPb33jj2QW5c9zmqMPXcmdD1IYGY9c1VgPcE1ZT0mc2Q9i0FlPcQPUz1DB0k9StpJPaBGRT3SHj89KzdTPW2iYD01mWA9eA9hPbDIbz3V5mQ9RghoPZETYD2NkWk9FhFxPfHZdj0Ic4o9ScmJPfJQgz2FE4A9wYR/PedqZj2nAV89UhR9PQRUgD2YmWU9FW1dPSvyZj2rlXM9SVCBPVJPgj3cq3k9G7V1Pc2zdT0exIg9AoWPPfYTkT2JAok9LJiMPU7Jij3VtHc9Q8hyPXz5ej2wD4U9kcOAPfMrgD0943097Dp+PbeRgD38fYM9WA+OPXqtjD0YMIY9PT1zPSx3eD3FAHg9+wqAPWmmjz0y6pA9RxGJPZ/GgD0ln4c9Zzl4PR5obT2jGGI9OWxWPR1mVj0uZlo9hCNxPeoYeT1Zl4E9P/yIPWZfjz1LWJM9ftqGPf9sgz1OAIc9oG+BPUUKdD0yA2E9r29JPRHzUD3YbmM9vT14PTLthD05I2s9ualkPRtIWj1mTFo9u99YPcdNUj1tcVY9ap9PPRRGPz0MS0M9ie9MPZyBZz0Nu249/cRbPZj8XT0Xu2I9Yh1hPUQmRT3ucEs9KLxQPTJiSj2kl0k9mitLPeikXT2ohmA9EOpOPZwrUj00GFU9JP5UPdasTz3hWEQ9dXNDPX1eTT3E8UA9d+07PRbNPD3coD499JJBPVjSPz0B7UU9e/BDPUJ2QT3mOj49NPN3PWyekT2Tzgg+y1gvPnAcJz42fxY+gJA0PvAcMD6i1yc+uAshPtD1Hj4r0xc+lEMNPoi6FD5FKis+E2UePk76HT5Aoh0+RXwePh4fIz55Ayk+lFYmPgQgKz5TTC4+gz02PuExLj4Otx8+b2MhPp2JJj6AOS4+Ku8vPuxdJj75gBQ+EvkYPlujIT7wihs+PkEnPsGnLj4TLiQ+wBIhPgOjGj63+yA+U980PoiAUT7oF2U+FIVcPvnbRT7GUj4+j4I2PgroKj76bi8+l+c2Pjy3Lz5oYSk+WFEkPvFFJz4SjDs+6oRHPuuxNT4lXyw+vaUsPhwRNT4h/zY+6cYjPk2rCj4w5s49AtmkPTZujT05Yoc9DzqfPf99uz156A4+yWk2PvbNPz7Lvio+QeYrPqvdOj7ajTs+87g5Ph3oOD7ffCc+0ksaPhaoKD57FyQ+FgwQPspMCj6mqww+mgwiPqfMKz4kSyw+RRQvPoukKz56VCc+8iUxPmfRNz5u2iM+OvQaPq7ZMj4RTjk+hcZEPnEENz7M6zU+eYsmPmVcIz6TMik+/Tw+Pk+HPD5OOCQ+2ZwjPtZUJj6pF0U+MaJNPuKdRz6mOUE+4HMuPpALJT5pYSc+wj4pPleHQj4kwFU+5ek5Pt9fMj7akjA+43coPtaBHj7cHDA+MUM1Pn7eKT6z1R4+SPUiPiSLJj7dzCk+5B04Pkc2WT797ME+f/KHPiidJT7CigE+zKEMPpPlFj62PS8+IzNZPlXzRD5V8gE+tF/YPT/0Dj5UxTI+tDQYPvaFDj6uOxM+DgQkPnFGMj5IGDQ+pZ0yPp7eLj6o1B8+7ZcZPjL3JT4jRyw+k6EpPgrLJz6d/iA+DrNLPjH8Vj7FQi0+HbMkPgyYIz7dsCs+8Pc5PtxlNz79vDA+whEpPpp+Kz6GoC4+HNIdPjElGD4/WTA+gkk0PmERJz5X6CQ+TYolPj19Lz7dbS0+aO8uPunVKT6InSg+7YMlPiB7PT6rBEU+eGAvPsWPMT7iyDU+jQcwPiYuJj7TuS8+XRsvPqkpNj5IOUM+gi9CPneaOT4Rai0+BTMyPsSJHD6p1SE+o1ohPmkJKT5LSSw+6ooxPoL6QD7BjTI+vKQ4PsNJMT5nyTQ+sJU4PnjFND7Qky0+nmINPsd6/D0TxuQ9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+t0m4+PFAKPrp/jj0FEZM9gN+VPcy5lj3tcZc9CtGaPeicmD0Tf5U92guRPZLTjj2bUJM9y2uXPaVUkT3PTZc9u2SVPS6Ohj1JD249byZlPajRYT0L7k89E1dNPV6XRD0JnlQ91ltvPUqfZj13ZGE95uxgPevhYj0vvXI9J+J8PaxVaj2PzH49D0KGPdHShD0IcoQ9yISEPXLYiT2ks4U9ZQl+PSXmfz2OP209Y7hpPQpRdD3Xd389yK1zPYKbYT0SkGI91I9tPfcrbj1+RHI93waAPdhEgj0B3IQ9XHuTPeuPjj1D5YI9CuVsPV8Odj39Vng9K1R9PW1Bhj3d6ok9I06JPcuLcz1eOXE9vpt6PTssez1jNoA9QC+QPXrPlT07FI49pp2JPTyAej11+IA9xDSIPa5EiD2G3YA97xmBPZvUfj0EUGc9VYJnPUhraz1yw2Q9f8tnPXT8cz1c/mg9rBlhPQmnez3h7Yo9ZIePPXGskT2hI5I9U/mSPSGvhj2qyHA9qt1gPS3hWT2Tg2Q9ACZaPYcRRT3Dw1E9QSNiPf10Xj10ekc98q9EPduVUT0HDGQ9YzJ2PcgJdT1oMVY924NKPXX+Sz0rclA90cFePQJ7bT29xF89HO1RPSjoRz1PoT895pk/Pbq/Oz2E1z89uQ9SPQ4nTD0zyEo9llVfPXfLeD1b1oA9TCZfPcYOTj3vuFI9WCZZPfOqXT3T8V09uylWPWSLUT0SVVM9sVJKPbtBPT3yETs97Wk2PRv4PT26rUI9U5BWPYByTT0aokY9rJExPcXbQT3VhVQ9mvBwPYVvkz1SkHc921NtPXwTiT2hhR8+6ORMPqtaKT6O4BY+zJYSPpOdDD7PKxg+IfQYPkoDGz7bpBo+ElQaPpdHFD7eKRM+uU8ePg12GD4nkBs+YSoiPjaUKz6pxzI+RWItPrdkJT5DvCM+cAYiPmT+Hz7vEig+YUYsPhy8LT7sLSE+4yAcPmsrID6ORTA+J8k6PlscOj7h0ig+1IMvPi2wOD7eGEU+UzxAPmQBLj5i+So+apkePgOOET4PQBM+X2gjPk9WQz7xuTw+SkUsPrUxJj4OfTU+YcZIPpRWRz5+9lE+AoNMPiqIQz7kukQ+gbsoPmi6Jz7P6TA+2wMsPrhIFD6ZaQk+hs/bPWH8BT4JziQ+JmgyPoB6Sj6PpUI+fUAjPrSvIz5T4yA+LEY3PgRqQj6JlkM+eDE6Pi2hMj7AVSk+aL43PvDKNj7GSCw+J18pPowMJT5vfyc+AlAoPoRtMD7YgSw+rzkvPiE2PT4gijo+DkAnPv3eDT7F+Bc+K6YjPq4lRz7aODo+pDQwPnOdMT7ljR8+KX8dPozpID6xsC4+yOItPhZRJz6VQSY+oispPmZJKT4MHi0+UP4zPpqGKT6DehE+oVgVPgNZFj6iPBc+zM8bPsisGz4tsB0+fcIfPn16HD7Xyx4+2L4pPsuJPz5CkUI+RC1xPo/BfD7fxl4+Gk5BPvVuQT5KLhw+qOEMPr2hFj7GoBU+yNUPPn9gNT6/8Es+yGNhPqMVUz6umjI+uTwxPrGi9j2Ckb49UwDgPVjY7T07ywA+zx4mPlVrIT46Myg+R3EfPl/cGD57Gx8+p5k2PgAePD7Oxis+XGg7PiaKNj72tTA+A8QxPvqnlD71hZo+Khw7PonMLD51rS8+f6g3PtnzOj5djTs+fEM8PihnKz7oVCQ+HnEjPjYwHD7A9xs+V4YjPhjuMT7QJy4+5xktPhRqLD6m3y0+bLMyPm+3Kj42oCk+VgwrPntrMD5uRjY+mYMwPohNLj5RXjg+ltY6PoxIMj4hUiM+EGgwPi72ND5sBD8+EgxJPqfoSD7V+kE+4O0uPl84JD4eBhk+o3kZPvQHID71GTE+0dUjPpngHT6I7jA+CykrPrnhOT5uHSo+TY0+Pmd8Oz7OZDI+LHo2PvKCFz7v9gI+0MTlPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/EB9xPh2RsT27n4Q9uXaMParHkz0f1Jc9h1KTPUqFjj1HBJI9UVyXPS8WoD1ESJ09BNedPTONmj0Yaps9tZOQPX1Iij3ggoA9xwpZPcA1Qj2RkD89j4U/PVhqSj0MoE49twNWPRnpYD1x4Vs9bsdePcSMXT04BVg9cixcPTqvYz1go3E9ltKHPVnIiz2Cq4o9iKGCPaVteT3bDXU9wtVnPVRFbT3RM2892QtuPUOPcj1UTnw9KbF1PT6Bbj0aF2k9tHxpPSlhej2YFIs9uoKNPc95jz2+KJM9ncSPPYXraj2vGVY9UqBmPU27eT0E5oo9NmSOPQO+lT2UoJY90aSQPds8kT18Y489JQSKPRzZiD1MnoQ9iwmFPV0Tjz09d489FBeOPSrMij1gD4I9RGODPQzchz0Pims9fmtJPTl6RD3BM0I9P5FVPVNfYj2ASHM9+3p2PRBScD2Yu3c9XFKEPXVshj12VpE9QYeSPeJvhT1xJHw9o/1xPYWjXT2DIUY9esVNPVeVZD1YaWY9ey1dPWwvUj0HkFw9P55hPcf9VT3+Zk091pxKPY6BUT08RmI9sahoPVHDcj133Hg9B/F8Pc7CWD1nWUI9YVlGPfPJRj1yiEM9Pgg1PfrnNT1HMjY9ad83Pe00PT1Nf0Q9skhNPTVCYj0mSlw9nKJXPctNXj30w2Q9zHhmPQPuTD1drU09wR5cPZQSXT38lmQ9qxNnPWr7Yj0TWls9SZ5XPcYDUj3wwUo9ECNIPfdaQj1Q2UM9KoZHPerqTT34Dlg9/JxtPXNWbD27qJI9M5IMPiBaND4v1hs+xFTwPXXm2T2T/sA9JdwbPpBsNz4IYyQ+2esUPk1JEz7PCBA+n84bPgAjHD4stBA+DjgMPuhhFT4pghM+RFAVPvDFHj53qh0+DhwhPmFvIT6vDh4+7xgbPngbIj436CY+JPIePsxIHT5iYCs+rts0Ph9hIj7OnDU+11UpPtyBIz78HR4+QSwnPqCROj66ujc+Zt8nPvX0Kj6czC8+eTg3PjliMD6X/Sk+X3YsPgfQJj6bGyQ+EUMoPqNJSz7pO0U+sIYzPncgMT4KbDM+e5hLPn1bUD4cyyc+DudXPqLQaT6SxEw+rJc8PlztHD5wuys+ZYc1Pn4vPz5xbUk+H4FIPl74MT7mfDY+2LE4PvqzMD6vsTo+cABAPqLtKT5bjzM+jFs0PuekKT76uiA+kRsuPqnNMT5TUzA+3b0nPnrFKD5D5x8+fFstPjwPLj74BSk+GQUwPgXNMj7eHy8+IRosPtc4MD4ngkE+Q0lEPtA2Qj6QRCs+9lkYPjhzJj5YwDc+MpQ2PqZeND762kA+7qA1PryaKz4s7SI+DO0PPkFwGz7ilik+jx4qPomYHz6clxw+rfYVPsEgHD4kexg+gYMZPiVUJj4U9Cs+06AlPkXuKj4DWA4+ppsSPg9vLT5wbUQ+6jk1Pq7yIT62pE4+9nI+PuHtKj79ajE+qH81PuXzLz6bOzc+dl4sPtJ1Iz6EAzc+tRM6PlTFLj5U0yA+8r5tPvtZsT6hdGU+pKkjPliGIj4nQRc+Nb0MPrUrAD7sVdw9KdLZPYM0ED7IGSE+KTsaPimdLT73z0Q+LN5IPtnHOj4oNFw+LJ8wPlnELj4MQSY+V4kqPoi1Mj5db1M+sXFkPianKj5ixB8+PC03PkkEPT4CVjk+lno1PinuLD5ebyA+TA0jPi5yIz6ENyM+n8g1Po7DLD65Nis+NX8bPofmJj53sSg+DdcnPoQpKz7wbi8+AJo+PquqLD74HS0+htEtPjvZNj6a4UY+8W48PgXgQz4i9Ug+eXtKPi//PT7XODo++yknPmLpLz49STU+9ZM5Pt90ND5LzzA+emEmPqO2QD4acT8+zzYvPpBsIT55BCk+Td0tPo8dIj65zBI+sKQWPprIGT7rahY+vq8ePivJHD4UFwo+jQMAPpRB8D0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+Njr89bN2PPfollT1yA5c9xx+UPdXDmD3ympk9ZfSRPdUAlT1sApY9QZ2QPXQvdT0aEXI9lguAPfSXWD1WBFY9MopcPYeYVD2FIUs9ONRcPQjFaj0rCYA9106FPYbBgz2GJYI99CJtPdIGaz3gqW89YMl5PQgEgT378nw9mC17PSl6fj2Zz3I9jLFnPfzQZT36nWw9+T10PYMTdD3tIm49hnh1PX6meD1LwoI9L92CPW3/ej3Sjnw9MWh3Pew2gj0t1Hw9amWIPd2DjD0PCIo9oSZ+PSXxVj25eFI9NxNVPTMpgD3xLI09xoiKPZknjT2ogJI99COZPdfokj29nJM9pqGPPQJhjz1jQI89MLqMPYDOiD3pBIQ9TS11PW1thz1/SZI9UmeLPUddez3EG3U995pxPVDgbz2AbnM9bYVnPUdeVT2Sm2A9vzhePQqxcD2wo3w9JO14PWk6fz0a34E9dw1rPbNZVT1SD1E9gPVcPV3rYz3OEW498cNaPQz/Yj0zS2s9UFlpPdyDWT2usVA9+31RPV29Sj142l49HqZtPRojaz09EV89eAhlPZIQZT3RPVg94KBXPfCOVD08h0Q9G9o7PeFNOj3dkzw9Utk6PXeDOj3lzT898BdQPaLLYT0+s3o91faJPS35jD3RLGc9R51ZPVAVRT16LkA9Z81CPcYVQz0BuT89/hxHPWs+Wz1/8mA9VqRfPcuvZD3xNHk9eHRmPQlkVD2WNEQ9mhs/PeE+SD189kU9qyU7PXaqSz2szGs9IF+LPWCwlj2e2ZA9eNKrPfQBDj6Xrg4+JfEhPsiVOz4Uryg+A90gPs/PJT42cxc+07MSPt3TDz5Q7x0+0u4dPi7dHT6kdyA+1jgePrtjID4N2x0+eZEZPjWiEz5Q8Q8+Xv4ePme/Kj48Xx8+NCgbPn9SID4nMCg+DR0sPpsbJj5bESY+np8yPivmIz7q5Rk+48UrPhfzIz4Owhw+DKoUPh7XFD4MoS0+Kk8xPtlTKT5+UCg+hu8mPiheLT49Xys+Y48aPjK8Hz7IyzA+49IzPktdLz7STyU+JAM4Pq+pQT7v0yw+cTszPjusPj60lks+5yVIPjQYSz7wnFg+3EA4Pr2IKT7A1CQ+VI88PhSUPz4t7i4+SIgtPv9pKD6C9SQ+gNkmPskBKD5UOyg+rclAPgFIQD5dvzo+bxQiPpBFHz7V6iM+E2IuPkWqOD4BdTw+u2k9PgDIGT7YNCQ+gTkoPv5KHT6gyR8+figxPgJbMD6H7Ds+jI0yPpMgJj6fXzQ+z4E1Ps7QQz7qr0U+l/I0Pp/kLD6ceyM+DZIfPq7pHT5ntTM+aHFAPqp5ST7yMzk+tGE2PrejMD457Ss+Sfw1PoS6KT7ZYQ8+i4sYPgUIKT73iSQ+9lIePhT9Lj6+kTM+JLguPl3VKT52TS4+BpcZPolbGT6I3EY+G8FtPoL3lj4Agbc+NxlmPtCVQj64cDk+eXwhPkngIz7sHCQ+SDUmPkZULD7DUjM+V6kUPsqK4j1jY9w9fbAHPn1/Lz5oejg+MSMpPldMJz4KchY+F7AlPrcqRj51IjE+C7MgPrZCHD6b1ik+4ikqPlPuHz4F5EY+zIGBPknjij6wDkM+n85APtUjLD5g5yw+zi41PpCMTT6AOVI+Jr40PnUaLT6eNiQ+flQTPm4QIj471iY+a9UkPmp4KT4wfTU+EiJRPi4eYD7uZEo+QGQ6Ppx1Lz54VTc+XQdBPn57OD45Hio+ZJYsPsyRLj42Oic+79NLPlASXD66+E4+63NZPj/QYT6z3lk+1EJePmcdSz52X0Y+2opEPq3EXT7+kXI+vXJpPsIoLD7IWyQ+c69APhLjNj5ECCc+DlYoPqlOMz7YjDU+kBMvPqdCKj63DDI+y21APmkMST40Ei0+4O8cPqKUHD4DZiM+5Fc6Ptx0Rz4lHSQ+mDEWPooUEz7LghI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/4DK+PegqjD3wFIo9LmuVPZfglj0zV489ad2KPUDnhz1QJpA9n2aUPSCGkz0xWI095feAPdIggj2FdXk9rKl6PQ8AdT3XzWM9LnVePXMNaT3LsG89n/ZuPaSBdz2e6ns9TMZ6PdbXcj2sYWk9TjZgPXBBcT3rxnc9ki50PebTXD1mLlM9NQlePZUTgT3E6oQ9n/6EPTaliT3mKIo9m8KJPXUemD1DSpQ9FoWHPd5VcD3QLnM9Tzl+Pa/ziD3tUYY9LUOGPV31hj2kzIM9yrBoPdmtTz03Z1Y9VDJZPecfaj3EVYE9xtmEPfU4kj1BAJw9mlCNPXkagD13+HA9752BPR1QkD2chYw9lPCGPer2iT0a6og9IHR1PSQ7dT1ZjIU9mNSIPZBmij0sHYA9bot2PS0Kaz1RKFo9J6ZdPYjTWj0Kbl892dxvPQKehj0VDYg97vuJPb0ziz3YSYs9BPl8PTeWUz3sN0c9oeZGPUJzST1/KlU9HsJsPdD6bz1tkHE9ZxloPXo9Yz09Vls9zTlmPbSuZj1Hi1Y9xtlqPX2hgD2eGIA9MyCAPY5Tez0rm2c9KEhLPQipOD2tmDU9vGwxPY07Nz3UPTs9jYY6PX80Qj1KCUc9SDpGPUMrVT24y2I9QeNqPZWOZD1Zp1w9id5VPcs8QD2Odio9Cw8wPZtHQj1YY1I9s7pRPRFbUD1iqmY9sohqPU2pXD2EFFo9KeFTPbC5ND1yLTQ99nkwPRg+Lz1R5zo9aKc8PTwKRD3GplM9/2GMPa1Hiz1UqiU9WdUhPSUBOT0XMI090brxPc/fEz6wtEs+7TMoPixTKT4AMys+45kvPtGTIz6t3BY++d4iPrlPKj748yk+9iUePjhAKz5xrB0+TycWPhKZGD7RWiE+dpwbPoxVIz5CizI+iC8nPkKoJj5PvR8+kroiPryGMT4/tys+8K8gPleEHj7sgi4+dLc0PpWjKD6GFB0+RuQWPnbCHT6GqyU+PxonPsTfLj61hSU+rz8xPpavOj57dTQ+H4IsPjSqFz6GuR0+LOIrPo7LMT4iBy0+c08mPlzeLD7/9js+PpQuPjX/Mj5zUzg+VnQ+PqwcPz5sdD4+Cy9APh/nND79ES0+GU8pPtASLT6+MzU+8PNEPqY4Kz7ohyA+WnkhPjzFJj6x4CY+q3IhPrAjPj7jB04+mNNLPkXELj7R0ik+yjBCPpNNQT7McUg+JLNIPhBZPT7qvDI+Z54qPqWeGz7eMSc+Urk0Ps6WMD7IKCc+a2AlPkv2Hj5sOSU+dCQoPmY7LT4DNzc+VkYhPgWbJD4ZxUo+bFhSPmpmQz6MPSM+a98nPmLWLz628i0+zE0fPt68IT4vnh4+sTIlPn+nJj43+R4+EBoUPvznCz4vPCI+0kk6Pss3Kz5mnBw+ZugoPlYDLT7Uvis+BUsqPu5uDT5YdQQ+/aIYPvXBGT4+cic+nRI4PqhwIT4OFjY+SjWdPqI8lT5clSA+D+YLPm4UKD71NDI+3CYvPoUjKz5CnC8+KiQ4PoEjJj5ifiE+gjsUPm8lCT4TBQw+g78SPubtIT6+axw+AlQrPpLSJz6NbxE+XDcNPnioFj5B7TI+OW0/PnkBMz4jRjQ+1KY1PgLFLz4bNyM+LrolPnzTPz5r4mA+oRVmPgT0SD5Ov0U+ZWI4PmWdNj5s/Dg+QytFPmAmRD5IoT8+dLY/PhmvSD6p+VI+9epAPjfwPz5cUz8+/oBMPkI6Zz4V1Vc+GJMoPjs0KD5gmCI+JQ0YPjinRD6x2oE+e0mIPq47hj7N3nk+GtaJPosekz7R1z0+IfA4PqVfST5d4ko+QvFIPpE7RD4ihiQ+E3UWPvlKFT6g1Bo+av0pPqnZMj7CsRg+Uh0mPlYEHj6+MSM+gJ4qPqyqMj4Pbkg+FJY7PmHAID6kUB8+P2EfPlaGIT7I8CM+U/0pPtwPJD5bPxQ+Wz8UPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0P9sD1QYYM9VrCFPXcriz2qJos92FeSPWuMiT0dEo49eiWLPQPThz0ykYs9nWeNPRM6hT0nzYQ9ZaOTPVbvlT3UYI09MiCKPX8Rez2WJmM9QRtZPdx4Zz0HQmA9K5dbPT5jUj00G1s9Sc5XPWdvSz0tikY9DNFIPV/HRD0UcVc9FVh0Pf6+iT2elJA9OS6IPS3/iT3eDpA9YKWNPRMjhz0udGo9haFiPQ1RZD1wbG49T8iAPeYejD1Isoo9A7qCPYXWgT3BY3Y9lAVgPd5nVz2C91E9fC1jPbYpdz1hioc9cROcPa7lkz3TTZQ96s2CPc8LXT0axWQ9fnNnPSQ+eT2kQo4952KJPezwgj0EsoM9w9yFPaPseD1glH09zrWFPbcYgj2b3349nadwPc/kYj1YC1k9UTJjPVOxbT1OJHM9rsmEPbhdjj2fF5Q92ZiRPcbnjj2zr5A9JMeMPac4hT2f62g9AdNlPTerZj091mc9ib1lPVDlaT0NZm49zIZpPaRpZD3OO2s9pehoPSf3Yz10FFc9+TpePa1yej2ZrIY9vIKIPXl2gT2RSWU9LzFTPfzTUz3+9lQ9Fp1XPSy/TD2jKj49QsxBPWTlOj2yn0A9BCdLPUv4XD2MqFw9xftQPUQ2Sz2/4kQ9aWtHPWdaRz2Btj09x647PZyBTD34a1g9K4VLPaFgTD2z60k9XIFRPer4Rj0y4jg9pTJAPT07PD0LTDI9QxUrPUhGIj0sER89tEsuPTEFOj36qjY95i82PQi9oD3q8d09zZxSPbBVFj0FCxg9RJ+UPdKEHj7CTjE+B6E8PlAXOz7vOjg+DXYwPlkKKz65syI+EZIOPjZ/Iz7iPCs+D7EqPoWkID4//DE+mAAyPnViKj6ivSw+SzI/Pku4Tz7370s+gL46PriZKD6mgyU+vPMkPtxrJz6wfDY+KYQlPn7zLj7eCTM+4dEoPuexKD5E5yQ+iaIcPl6AID4EKCU+cXgmPr6lJD6WPi0+EtcuPvXRJT4q5TU+BIQ6PlvnLj7PQSM+FFIkPjfSID75MCI+9g0kPj69Mz77LS8+7UVoPjRqTD7fGTg+j9I0PvvIOT7y9zQ+vEU8PrtmVT55TVY+VrFEPmvGPz5Cay8+8AgnPukoLD6uViU+lH0mPq0EKT7S7zQ+vzhCPqtvRj6rcDo+qp02PrBsMT5s0B4+D5kpPmyNOz6mKTg+wptSPs+cNz43hzQ+8oAxPrxiLz6IqCY+SBspPivCLT6kCSw+syosPvJgJD4aTh4+VcgvPiHxLD64xC0+qb0nPo3xGj4v4yU+K188PkFFWj6KzlQ+vddBPhF8LD6ckSo+jeknPuPSLD70ZC8+QhgsPmuXOT5u0EM+mPksPmCwQT4J3DE+zA4oPrFIKj5XxSc+FQo0PkJNMj4tdSI+SNcxPkeXWz6hzUI+nz4ZPvnuFD7PySI+IMclPrcGOD6jljM+rlYmPjRnmT7Cekw+hAkEPuZ+Cz4jOSI+Bh8aPqw+Gj46uRE+lzcWPpg9HD5s3DY+/gczPiBBHz76dh8+3G4cPow6GD65MCs+LxofPo78PD4gHFE+bUM+PkJLOz6BXB4+Ue0pPhQGMD4i/DE+SaQpPr3wIT4fcSQ+GqIwPnv/FD4Zmy8+YDBVPgHMWD40yzg+m4EuPr1PKD6pljE+z0c9Pu4dMD7czyk+iHEXPvxMGj6/Qxo+pLAkPtfGJT6DxSU+7e8/Pkq/ZT6+1T8+6c4iPpNcOz4LyU0+nY16PurLVD79JTE+ek81Pte8Uj4x9mg+dIhyPmGpkz6C6YU+/5RKPmAdSz5/XXc+VC5pPicocj5TlWQ+AAghPuhdGz4czjE+vuc2Ph6TMj4O2S8+25EXPubTGT5uUyY+zWklPkfuFj6DYhg+YulDPlfWMD49dyg+7kssPsGQLD4VFTA+xlobPnT8Gj7NGCc+eqAcPnqgHD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+L6ZU9BD2JPcfNij3mwIQ93fmJPW2nkT3hvpM9L7yNPbRFhD14/oA9M9mDPUPYhT3JP4Q911WAPSjXhj1CrZA9o2+OPYD3iz1uAIw9+heOPSSmfj3qrYE9gRV6PW7waj0Dn1g9kzhePdzqTz3NT0E9V19GPRg6UT13RFY9uL9uPQ03hz05cpc9AiGQPaBtej0IKXk92Ih4PYIgaD2a/GQ9lFddPZ4MZz0M0G89Kd+CPTWakz1X6Zg9cBiGPQAnYj34Alk9TAhYPUtHXj35aWg9t5p2PfgQdT3bNn49fFyCPaGGhj1Ti389r/B5PZR+gT0Chog909mPPXjijj3RDo09zwecPbyQmj0nGo89JRmDPSrLhT2KKY09uvuIPaFEhT2tpng9zAFyPcauWD2AA0o96xlbPcuXez2/Qoo9vQ6PPSz6lD3+W5U9+OWWPYOtgj23R3c9O5ptPdaDaj2uC3Q9N9luPSW+cz1i32E9xh1PPfwcRz0jgEQ9JY5KPVrpWj0GwGw9vCKBPSxvgT2SAoI9KymDPfkweD36uW892cdgPVcPXD1uRlA90HdGPSCjVT2iQlE93qNMPTx6Vz2k4VY9ngtIPQoCQz1nIUU9zRNVPWHwZj3jQ2g9IotYPSDJSD0ua0I953k2PdHFUj0jGlc9YjNTPdf3XT03EGw9PppYPVfVNj3EgzE9PmIzPcWMOj3Yv0U9H0pTPX2ZWj1/PlI9J+dFPeKjJz3RpBk91FYhPRFHHj2OtRw9a5UiPe22KT20pks9gK9uPTOkND2GDDY9QMkuPe4dND3r17c9UssrPtchaz6YiUM+/gsyPq2MKT7/uxg+RDMMPrKUGj79DyQ+YFwjPtl2KD7BFCc+RuYzPnIQMD7psCQ+CM4vPr6iQT5Z3jw+yDlQPszTRD4nYC8+C1EmPqNuJT7jMyo+uewsPgRWMT43/D4+QtA6PmBtOj7v3C4+6RoePgJTIj6C9yM+fVkZPnmwET65gSs+/rE/PsuDNj4Hryw+Yx8zPq79Nz4luTg+0LkpPpzkLD51biQ+f58oPjksJj4oWSg+kEooPmh2VD4klD8+hug6Pm/8Oz7CSzs+Q5g7Pl8MOT6nqzc+08I3PsESQz7dnEQ+uzlEPuRJNj69iCc+8UYhPpb/Hz772h8+afojPmd8PD74rD4+gNQoPoDaJz5/xA0+rSUVPv2jOD4L00Y+f5E5PkteSz7gWjc+K9YzPv8ULj4/Vyo+CkMfPjudIz5LoSY+QCMfPn3FFz4m3B8+ZosbPmKoKT7hrS4+HxYmPv8TJT7u8SQ+OCwlPuKWJj7/YjQ+qso7PnbHPj6maUI+ToxIPm05Sj71sTo+rspBPjokPj7FFzc+9w8nPrgJJD5qMj8+YnBHPqLBRT7MZ0E+4uIkPur4CT7cCiA+1q0mPtdpMD6BtFY+lQJHPigfGD6kIBQ+83AqPkG1Oj7FuT0+CqgpPp2A9j3FMvY9vFMTPvEXGz6mYyQ+cQszPi4TGT6IcCA+SoYWPkRkIj70Fy0+mIpTPtMSPT5mwDM+lCU5PjdJNT6b2TE+57MvPuFwLz5Glz4++9xAPivoPT6ZTj4+Z1IsPirNTz7Cu0g+7wpGPlnZQj4gzkA+zh9aPjOuND7SlSo+57lBPuOHRj4Edi8+tdwsPqnWKz4O9CI+VskdPhtSQz44d0k+vLo/PuFcHD4zDx4+fHocPvYtGT4dXCI+q6skPlYhLj5b+DA+dAASPmQOAT6CQEk+hUZ/Prachj7X5W0+76hFPvTfJT70bjU+gd9QPsjJaz4YEIE+ppFvPvRYWD7b2ks+i1ZOPt33RD6/CZQ+cd6PPoO7LD6QqR0+vs0uPjE0MT70DzQ+H4ssPlhCIz7J9Bs+S4cTPnyQEz4fYxY+HwwSPtX3Ej6urRk+4L8bPm5tHT6Gjh4+MUUcPqA5JT5OeiE+BGokPvkqIT75KiE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/w/GZPTRHhz2bHoE903WFPU8HkT0yLpQ9xQGNPd0pjz3+L4w9EvaGPeeEgz0m8II9J5eJPRMyiz0v5Io9V0yQPcZajz3VuIw9wFOLPSDFjj0ujI09H92TPew6gj1jkGg9HnViPRAMSD0k3T898aJOPf/pTT2H9FM9OF5ZPddFZj3NJF49gZZPPVJgUz3p3W49WMJ8Pc89fT0qH3k9kz9/PZ9qez0JEoc9qdiOPTiNjT33Hoo9HMeBPaDhYz2GEWU9Xg5hPW+nYj0X73A9AWZ8PWL7fz36rXM9p454PVDMdz2bn3Q9DdJ/PQbFiT3Wdoc9wW2NPVUblj2gCow9/umAPQ6WlD36D5k9KjSQPWWkjz2bhYg9McmAPanAaz18DF89rTlcPegIYT3G6Vs9G+hhPXF0ez13fpE9+jaVPe18ij1VwIs9KT2FPUmebj3GHGU9h0ZmPTNeaD26k2g9HHxhPaDBXj1L2lk9btpXPTu0Pj0PcjM9OiBIPX9fYD05JGU9FVF2PbethD3oyoY9rBqDPdYPgz0gDIM938JsPb3rUz3iikc91g5EPZ81Sj2ymUs9CuRCPVwwRD2smkQ90NtEPR5uTz1JCVM9cf9MPadJUT2zyVE9PmJQPQkBSz3vOlQ9tm1LPe+bUT19q1896UldPUGaYD3EtmM9RHZgPcnhRD1TgzA9RVMuPRIvMj2j9D49wBI/PeMDOj1s7DM9mwk3PcRaLz0XfSY9KXwoPVwtKT1c2SM9lXIiPdLmKD0I6zA9O/wwPTCSGD3EKBc9KWEaPcF4Ez1C9ys9ddFcPZkXvD35sUs+ed5PPivgKT6RHCI+KfkSPnN7DT7ZbSA+QMklPumVJj4LECk+EI8oPjIzID5MAyg+olcaPsoCGT6Unho+JpUbPgMyJD6VhSU+nhwrPoSqHj51EBo+hXUePuayHz4f8CQ+Ly00PhW/MT6L5i8+umcvPvWCMj76myM+JnwdPqqPGD5X7Rg+ac1CPlYxWD4XADw+91Y8PnIhPD7SITk+hxUyPgHYKz5/PyU+R8gTPsLvFz4k1zU+Jwo9Psb/Pj6KuoM+bwx0PlPhQj5I3FE+ooxVPn2NLT72Mho+LTQwPkLWOD5PkUg+LD9DPvJ2Oj5CcDc+KUEzPvChLz6uqjE+yk42PjW5Mz4rmiw+sNMwPvVsNj56vjg+t2YvPi8YMD68TTI+t9suPp0OLT5gODc++tI+Pqj4Mj43FiM+n9gePs/qFT6aax8+FxgpPm/0Gz4fRhg+Jr8fPkawLz4z6yY+P6YkPn6gLz42lS8+HjwmPnDtKT5JJi8+1jAwPl6JOD7ENTQ+uY02PpavWT6PmUk+ZKRNPsQGVD6kFUc+LoAxPiC+Mj7Fii0+sdJAPixtSD5gQUA+ztgzPtDrGj4ZNwU+HHoUPpb4Hz5fiy0+PKguPiF/OT73oEY+UA1BPvtBKz5APCk+90QlPtThOD4RVRU+4nQDPp9ZJT7XNj4+wmo/PvXQKj42oxc+d401PmGxOT4am0I+SXNKPnewRD6WVTA+3G8pPhvHLj4Hci4+GlcrPuj8Sj7UBkQ+CnxEPkOnNj4PSDA+62cuPiZAKj6z6Uc+8c9pPvB1hz712Hs+EARXPnQPTT5YBig+5XcfPi7GID7vkjU+PMImPswbKD5DWTA+sLMePlyxGT6kQRY+6tkxPv6/Oz5Alzo+SK8lPoohLj4dhSc+61k2PvDmHj4gySA+KZ0mPm0JJD5NjyA+cdRFPt4dPz5gCVY+AF9XPgKBNj7v7iY+0c8OPvvjLD5o6zM+ZMpbPphPij6aBlA+6JJUPgo/Uj4qr0Q+o788PvSSOT46bzI+9booPupwNz4k1kk+TpdAPrj3MD61TyE+a84fPjnCHT621y8+rLgwPi91Gj4TGR4+evkzPkl7Ij7+kQw+UbMZPgcMGj5kdww+gJwUPt3TDj694As+mhMLPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzZLlT3ISIg9MXOGPbDTiD3KNoU9I2SGPQ9Tiz27Ppc9o36VPac4lD3CNo49tIWJPXgIiT1LGIY9MT+APY6Mez3TyYQ9h6iQPXQviD0U54Q9/4tsPT0JXj0DsU49THZEPbiLSz3G3lI9yJFmPTsUaD1yBms9BUxgPUgmTD2kHFg9u7dpPU4oYj1GdXY9G2uGPTmXhD17M4c9T56PPVM8lT0Pto49BnCLPYvciz2Ud4k9KjJ8PQvTZT13h2Q9DsR2PbtFjD0+q4c9Mv18PQaLVD2Rh0Y9zLRoPVTZhD3lu4s94kSKPY6VkD25q5g96X6RPYxujj20YJQ9R5CUPSl5lz2KW5g97NOgPRbqkz24zY09jNGAPfJcbz1SoFw9OS5VPbw6XT14a2M9HfBlPa1bcD2+LoY9iYWGPd/ihT2tx4E92VZ9PVaEcD2stFg99pdmPWw/cT1VRl09G7hTPboLZT2x3W89L4NnPTx8VT2QoVc9sSlhPViJZz0M82U9MSJpPTFYhD138I09vHOLPc5Gij0vZ4U90ep2Pah0YD1b/FQ92K5MPQRlSz3vwk89QyNSPaxaTj2pT1I9yJlOPSH/Sz09Oks9uC1bPVjDSj3UbEg9OS9kPc8PXT1Kslc9TQZYPefEVT1eyVU9okFcPRznTj2T90o9ePBLPfk9VD2rSkM9/SA2PVEDKj2ADyg9FjwoPZOQND1ZPjU9mBEyPRKqIT3pYRk9SGYVPaReFz2mZxw99J4WPTZgKj1D40s9tDyGPat5lT3H3Cc9wfULPfoAEj3Cngg9s90iPZ9Tiz0QY/M9VR5DPqzeQT4EUxw+7z8gPgN5Gj5wYyI+EJ4jPk1AJj6VPyY+RaAgPquhKD5mNyM+uyQvPoNLIT5NBhk+vHkYProrGj59hh0+ZBsqPi8UKT5SeRI+snQPPn3+HT7XlDk+EustPp3dMj6fxTU+lv81PuRRLD5GwiY+akUmPnyGJD62Xis+ZeNJPlr0VT4OV0k+ioorPiSmOD6bKy8+fcwmPkGbJT5SbyU+2QsoPqxFIz5kMSU+DJ4uPpnFMD6/JDI+QHVIPlOHUD54NkQ+ouA+PkPaOT4K2D0+OGg2PqXiND6lwjo+t0dGPiXgQz6ufEE+Du41PsjoLj5K/Ss+Gq0lPhvnLj6VUDA+xPM0PvmJOj58MkQ+6UlAPuNlNT7z1i4+OzIcPnuhOT5SUzA+logjPp6TOz5UCzU+xjQ+PqbWOT63riM+0vUgPp/AGz4zWgw+HB4RPg0kIT6/qCQ+rPcgPtpCHD5qOUw+35Y3PmnxKz7o3jQ+lj4hPvRELz6lzyQ+poohPnboLT4IITU+KPs9PmhUPz5jcEQ++RdHPudhPj7z00Y+WLhFPo4cPj6jtTs+8/k+PqQHRj6gMDg+5kUqPlJJLD6Xkzk+Hy9HPo9SNj6A3EU+JAhaPtiGQj5kzCE+U4ITPm2xED495CU+stUnPjhsND4HfS8+il8hPvsFGz60nDo+mbIcPoy8MD5bqzA+wRkePqrmHT7j6yc+wj45PlyJQT7+4T4+beJDPlz0PD4YmkI+dXA2PiJ1Nz6BWyE+WJUgPiauMD4KYjE+1akpPl27KT5zlUg+Vp1QPmstQD4ZSEc+jhdnPlPePz7++iE+pTMgPhMxGj617SA+i/k0PrxFHz4gDCc+U1QkPtASLj5yqlU+oA5QPovFQj65lD4+EKgoPhHpID5h+yg+y0UyPjwqPD6yDi4+fbIcPvlAMj6RcDY+f7BCPk6RQT6hVSs+0C8hPp6LCz44OT8+vZMtPuIVLD6ie60+4Vj1PjtNUz4TdFs+d1d5PriCcz4I/Yc+Z7NwPuj5OD4pmj4+yIBUPiwJWD5BUE8+t3ZGPhCLOD5AwCE+jOAPPqYWGT5gERA+YncTPpRHHj59WhU+DF8RPpB7FD5Jhg0+a2YPPn98Dj6pCSg+EVU4PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyN1pj1U2qU92e+cPfdllj1YhpA9bjeLPaMChD0L14M9sheSPRIMmD107Y49kBCKPSVNgT0zdH09UEpyPV/0fj1tRn49uwVoPaOnUz3APlI9QANTPShRRT3bDkY9/uZTPdAxYT3c6mg92/BvPWfneT1Y/mc9flhlPVQVbj0v13M9kMlzPZNxez0NgYs9rRKRPQGQjT3g+oY91TCDPQX5gj2Tn4E9CWR1PblJXT1CxWg9zNFmPXhHaj3tG3I9H5J/PejMhj10QoM9PLl2PWc7cj0/UWU90HBkPURngT12OYo9MVSNPYk9hT0uCYA9O9+UPaELmT16dJo9ap6rPQ4Itz3UKrk9JrGqPUnokz0R9IU9NWR3PY0QaT2OgWc952FZPQVOZD39sXQ9dweDPcXFhT2HTok94/aGPfYzaT0Gal095h1UPX5tTD3S8Fk9O0NePYCUUT09DEw9tDVKPaVsVD3VPFg9H0BePQ9SYz08MHQ9PpmCPdU5iD3/UYg9abxrPVmieD2i74A99PWCPTiYez1P5nY9CIJYPeqhSD22UUo9ShFLPf4QUD1Gc1U9XEJSPRcfUD2EkVA9QOxQPWLqSz0KcFU9CuBYPZznVj111Uc9NlxJPVjZTz3ZYD89k2w9PaiZOz1qa0E967tJPaBNXj344mM9+bprPUz/gD0lt1o9lHgcPZQ3CD2gvhw92WQlPdjFLj0y5Sw9U1smPSs3HT3GexQ9quMDPVdtBj0XgBI9b/UcPXg7Fz2Y4Sg9wbdRPfxcmz21fLo9XLJVPZ8RMj24+A09OPELPS20GD0QyIE9CeMaPgreNj5ROCM+WfUfPtlzID4XZyY+upAuPj/KJD6KmB8+k/ciPsuUKT5vRTA+TuYrPqlGIT4x0ic+l9gyPvvoMD5LmSc+pzEyPsbAJz6GvSA+7nAUPuhzFT6q3SE+Ags5PscndT7Ajl0+jlA8Piu8LD7K0yo+Xm4vPpMYLz67cCo+MA4kPoBFKT5N7Sk+V/YlPkTqLD4VQik+wQQfPtZwHz7lESA+NzcpPs/LKD79dzo+Ots0PtgwNT45Cyk+ysUrPhozPz7bSy4+86MiPutCJj6p9SI+1t4iPq/1KT6+QzM+2TY5PtaFST5Wokg+fOFIPmYyRz6bpTM+LMAjPjEjLj6+hzY+6tw0PmX3KD6DIB0+Nl8sPhpIOz4QkzQ+asIlPqW2KD74SUk++Mw+PkGjKj5lUzk+jLwxPv+IMD6ZKS8+BVorPoSAIT5adCE+ofoTPoodHj71QiU+9FQhPvxfFz5Dgh8+6J45PqPlJj5yBio+A0ocPlLVKD7zJzo+HDMwPiW0NT7/ozA+4kUqPjTAQD5LRDA+zmFFPuzxVT7ZF0M+XOE3Pj+WNz5DPjE+6tAwPjU8Lj6myy4+YH00PqNQMD5m6Tc+Nl04Pl12PT5XE0I+I5lBPuC2JT4EUSg+uPQqPlLiKz7ipyk+THQiPm5fLj5HOyQ+Ax8kPuMxIj6IwR8+iu4ePvoNHz7v+w0+PnQUPjoMHz6l9xs+3Ak8Pi0qRz6skTA+y+1NPvYGdz5REUc+48Q6PqYVLj43jTI+BF0rPipUJD5L9Cg+qsYqPjxoLT5qmC4+wEA0Pj3yLz571C8+zBsxPiegMj5vuSI+DLgUPu95Hj6dhis+xdwoPrHJJz6Acx8+OLUYPsZEHj5+9hg+1wgfPkdDIT5JEj4+PaRAPns2Lz5V11w+H0VMPqkwRz5BA04+xQVRPvsVND5sAjA+pf04Pn6mQT7ewDc+PVAkPks6Mj5/KyE+IXEUPqeaHT4eGCA+oUB5Pul0qT7Hipw+TJVdPh2yQT75dUE+JopSPgD8Qz5V1XA+2vRsPtYMZT7/zEk+lSE+PuvXSD6hyC4+2AEXPhc5Hz4THiU+PYkiPsMAID6W2xc+tKEUPlTkFz4oASE+jNQgPgI2Gj6+EQk+9pYaPiC2Ij4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/oKI89KvyOPQdKjz1+JZg9gxudPbrJmD3MBZA95eGIPbKtiD0nU4k9ymuKPYqPiz33pX09Shl6PQZ2fT2Vv4092rGTPR2FiT3il4g9REF0PepKbz2ccWk9n8Z4PfLudT2nAXw9ojRoPeWPaD3QYGw9hxlxPXTugj2vsoU9tjCDPV9Qgz2CF4I9YYyDPRmMhz3n64Y9dLFyPZAEXT2K3Ww9gER6PRE4XD3BIk49EvhgPcvnZj18xmg9V7RwPZykgj24DI89DTyQPZ0uiD0Qt4Y9s4+FPf8IfT1yeo89YeKjPSAbsz1Hh609tHubPSsQmT0EfZ09X0mVPaWEkj2Wc40962GOPZWrgT05YGk9LyNdPYGvYj3fnGk9ne5xPcQycz35un49obeKPc0mij2AzII9l5R+PXLgYD0ial49Y/ZvPUdicj3IYVk9zchPPagWSD2Dlk89y6JbPYYEaT2sTmQ9rmVgPVZbWj2ksX093ut/PUCmhj0Drok9KjiJPQkchz3toI09wW6IPSHMfj1x7F89SpFGPRlBRT1iIE49vq5LPayIQz0TuE09MUZaPSpKWz1juV49d0ViPbjMaD0SSGI9BU1WPSARUj3m80M9JxxDPf1tQT2Bvjg9jsQ8PUAGSj0Gr0491eBSPSavVT0MEV49/LRyPZZxkT1BXsQ9qNDiPf18ez0mLyg9HQsqPQpeKD2XEiA91u0RPR/zFT32OBs9xisTPb8zDT2uKxc9fYQnPWVjKz3esh890b0UPUILGT1noyY9DOQrPahaPz3BeqQ9JOOgPZWbxT2xHgc+d8s9PsggSj40ISk+eZwcPo+ZGj76FBw+cjMkPvyaIz6MlSw+hyMlPi8XIz6G9Ss+E1AtPvl+KT5PkyE+kCAiPtk4Hz6ykww+ABwGPvM7Ij7iCSE+dqAfPlv2MD64Xjg+Nks3Pu1NPz57Oz8+KTcoPiNSLj7+yDw+hNVBPjbIMT4+gzc+SidDPhkPSD6jwzs+afU2PoWMLj6WSzA++qYxPglKJz5aQDM+FOMzPmCtMj5G+S4+TTwzPiVZMD41jDA+iGExPoJQMT7+Ry4+mq8mPs++JD7QGSk+KS8oPpXBKD7DCjA+qJwtPrniLz4/1yc+yA0jPsgdNT6lv1Y+qtxQPnCCQT7ImEk+53g+PobFMz5TIDI+/EstPlrCMz6V3EQ+EZBEPiM6Mj6Zoys+noEmPptvKD741S0+DgwxPlT4OD78BDs+gAk7PkeqKj61Niw+VYImPiQHJj7CNRg+5uocPjxKKT76FDE+Lb81Pn9uIz7+IiQ+JRwiPiUcKz6aKDo+hkQPPsRuKj7AKjs+WkIsPj3pDz540R0+fiMuPrm6SD6mwlM+tPs7PnG5LD5WUy0+4t87PhUQMT7XYSs+pEIwPnlZNz5KHTI+I50jPs9LKD5N/zY+tB46Pi/sNz5XnSE+XPEPPl9bHj5x9UI+xGlOPtqIKz6+eBg+gqcrPuCwIj6vvjM+NPg/PgQQQz5zORs+/tsSPsRrFz63hig+0qMsPodSLD64djg+He01PrYyNz64eW4+7GSHPjHihT6MOVk+coRePhfIWT6jCEg+ZEJIPn/3RD7TZic+ueQfPgxBHD74mBk+6Ds0PvNuOj5/tjk+m042Pk0wLz7H7UA+Yg5APm77MD7LqSw+fnkfPgzbGz5s7R4+OuMhPvknKz4xKC0+7uMrPvC6Kj7yPDY+n+VHPq7CPz4TuUE+xEs9Pi5HVz4UhUo+ryMpPqQaMj4s2TY+TtQ2Pi+TRD7d6Fk+BDMYPk2OFj639Cs+qzcePuSBGz572ps+ipzxPiCvdj4wB10+kUZaPovSNT5QxTk+jHdOPlomRT5Wi0g+GcJLPpLfKj7OKTk+hf0kPjBrMD7GUjI+i5U0PhiCWz6AGEM+LOQnPsrKNj58Vio+A5ooPiiiMD71IS4+LNMoPiAyFT7AxhE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/A8KXPWVVlT0wzZY9XcSaPbpzlz1YKI89uyeOPWQViT1UbYg9CPeKPWFFkz3pmZE9BJOIPe/7jT3zyo89u7+XPS8hlj2CDIs9SDiBPXxDgD0Y9IE9HNiAPenmbT2BQXI9IFiCPeT0ZT0PeGU9tKhoPQIegT1a6Ig9lsKJPWYjfz2WkYA9Pb+DPRmZgT0wWnc9U5J0PRRAYj2P32Q9QOhqPYd2dj1OTnM9wpV5PbOofz2voHs9ZLZ2PfnQeT0aWYA9YJ2CPQ7fhD28O3s9nmN1PVnghj2YTpY9X2KePYzynD0NpJg9/WyWPblakz1EBZI9/P2QPf6Hlz3glJI97zuIPdVWfD24V189FctNPcqFUz1CZGM9qKp0PXv2gD3p4Yk9t5+IPQYUjj3dAXU9PvFUPQFGUT1fGHI9+oaGPT5veD3exGs9LMhVPZzwTT3p2lo9KqJkPQK9cT3GZIY96RqMPTpziT0/S4U91KJ5PdXugD2fvoY9R/+CPR6pej0F3Xk9cup+PV2XaT0dJU49HgI+PbtwOD1+Dzo9TCxEPXo9Rj2UG0k9PmhiPWjeaD1AP2g9bR5oPVLXZD3SQlY9vXZGPT6ALj2N/y49YCQvPV8oMD3WHDQ9TDM0PfPqSD1gPmE94npmPdbSaz1nNV49MShNPdhfRT3hO0897ktmPU3HfD0EoEs9oDc/PT6mMD31YSs91CgkPcizGT19oyA95/AuPX9lOT2vcy89OmM2PVXCPz2Ex5A9eb++PU7YxD3sE609j95IPXUsNT2PAjA9+mo2PULzGj0EdG89lIzFPfxuOD7riXQ+KWwePpzyHT5+ISY+uj8zPlheNj77pCU+CWApPnVOKD740CU+sP0vPrywNj7WgDE+fIgdPq0ZHz7/wxY+4BQYPk8ZHD6CARw+qG0hPt0yIz6ZIzE+uz8yPsoAMT4FXyc+7SUYPu/EFD6XqSQ+3Hc5Pt97Pj5CxTU++9w1PiylOT6E+Dw+OFMsPlpdKD7hOik+Op0tPlfLLT7nGCE+YAMiPgd6Kj6ffCw+AKczPgI1Nj7SQjU++rUwPjLlKz4Ybys+ekwsPuVYID4gwyM+5jFEPuKqID6PZho+4wMePs28IT4c5yQ+LlwgPuElQz5Inzw+zso1PsG4KT7dMh4+GuM3PsfMPj4pfjo+FMI2PvLtLT4pUSo+JNxBPgDCQz7zTTQ+ysQwPuCpMj7WqTM+3Kc1Pi1ULT5x6jY+LK4zPigZLD44cig+kpUyPgERLj6cnSY+xLMePm5oIz78SiE+a7kqPrsJND6bkiQ+A4ojPuscJD5YZx0+GFs1PtSAHz4wHT0+q3M+PnqOMT7mKCQ+MdciPmGIKD7qOTo+7v03Ph/RNj58hDI+ETomPtzGOT7ESDk+lwsnPrDYIj6frCc+Ba4zPpwZLD4/pS4+GNY3PotdNz5rkzI+2uIzPn9sLj5tNS0+1Ro0PhwdMT6J0i0+zKAuPi01Kj7ooSY+DxofPsIULD5BEC4+HR4ZPtpFKz5YNDQ+FXouPlnyHT4T/B0+R4NDPt3AST4cX0I+6l1OPu2LRT6cPD8+k9NBPrXXXD7FMFc+xJJJPmzpQT6SHjY+i2ctPmpeKz6Kjh4+CVUYPuG2HD5nnxY+cgQYPggrIj61Ry8+azo2PmDBLj4i9zA+EqIwPvueJz6H8x0+fVYoPtH7Gj6XExk+qZ0hPr9BJT4UFiE+iWgbPiqiJD5UmCs+bG4+Pg4kMD75Pz0+zRdBPrabMD5RTjE+0ak3Ph7xQD6wkDo+5DU1Pl1aCD58ERE+t4AxPg55Rz4h9U4+sYtaPgVclj4cfIY+c/WTPjd6kj6R9lA+ucJXPh4jQj5M8kY+ODFaPl8yZT6UwUk+ooVFPmcMKz5sWFs+eU9MPpjiLT7kJSY+sR81PtdmLD5/qCA+VNk0PryrPz7w30U+lC1DPrK2Rz6CfBU+uOMWPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8KwKk9Tg6zPXEC4z32iwE+Eu4VPm1tHj4XiBs+o6ICPhF+BD6+mP49SebhPTxFtz3VS7E9J1qzPcOijj3e3pQ9CkKBPVwMfz0KrYM9DGyCPY9diT03wKE9UwO9Pb7Wsj0y/bs9BXK2PThQDD47gB4+7dsdPhK9Dz5YwgA+iCgAPr/qCj5ZzxU+LpYHPjxE5j1dbuM9JFjgPeEexj28ZsA9xGzbPShzBj7etQM+7KT7PcB5uD3zJ6c9NtqsPSv8tT0t9Ko90r2pPa2boD1jLJQ9g+SfPeUDnD3IWo892r+GPRdF3D352fo94MMKPpoZ+z1QNcY9BbnVPSRbyT0faMk9tuzKPQvFnj3CvZw9AUOXPfxUhT2fkng9RmaKPYhbsj1W1r49ZVmsPb6Coz3o2YA9lXV0PQaIhD2KfX89fItZPXNGTz2w/Ek94jE/PU3fbj0ydEc9QqjKPfap3j39Nro9jNuuPXYu4z0iy7U9/LqbPVO5lj0c/Yk9CP2DPf7ZgT1r+JY9PG2PPW3tbD1/xmQ9evZxPRIFjD3Yc6g9uluxPci2mD2nb2g9rvg+PSheLz3e81Q9i8VhPQZ5RD2+tj49jMdNPQSNfT3FvGU9O69hPUsaJT5YfAs+g2D+PY0RxT3uo74944emPWe2gD1Aek89vyRbPbomgj0rK4Y9A7eAPSK0cD1B31k9daRVPWt+Sj17mU89s85ZPV52Vj3RrCM9x4EcPUU5FT3I0hA9jxgUPXMJGT3zjhg9Cn4iPbq6Pj2esTI9hA0hPQvmFj3pKgg96I3wPJXaYD1DaXs90QiSPaBliD0X4GE9OIxUPdeeVD0eVls9wsc2PQ0aOT1ldDM9z4AzPYLQOj23xTc98uYIPUvACz1Cvjs9hP/4PP5A/jwGBgo9GdfwPAoB9Dxv8uk89/rjPKzN8jzGlO082rQFPVi1JT0crRc9fTfuPBmD1zx3BwA9eUILPUbsFT2xeQE9WG3kPMq67Dwt8/88I1MBPdxsFz2nVxY9xGUDPe8gAD3zUQE9ENQxPS40Nj0OHDc9DPRIPVE7TD1gFUs9rplWPSoyST1SqFM9S+FhPZ/GUz1p4E09FzxNPWeOTj2QBl09J1ZRPf82WD2TTGQ9QmZvPckzmz18GKU92eqQPXSxkj0w1YA93dKEPQdTnT3Vf5w9rVaDPcAThj3PKHw9gzJ6PTq0hD0qFIU9c11rPdCIdD1yd409LUqVPQf4pD25YKo9Os+rPVRLsT07TqU9l6euPYOjsD1KKLM9BYS7PWgkyz3jtNo97wfaPWQozj0M28s9DXi7PSTdrz2eHLA9nHHbPX194z3q6QA+kiSjPZyUUz6iApE+ADOFPjb7nD4nxXU+a5c1PmYWST7h32I+O3JnPgx3VD7gZzg+BXYiPlCbLD665wk+5ST8PV1y4j3b3RQ+odhDPv+PMz7fVSM+Zi4QPhbD4z05uc8992i5PQJ0tz2SV7g9uae+PcCTuD1HNrg90JLBPSf53T0Ysgo+LcrSPXsvxD3B98U9x/YcPjKLiT7+UmY+VqFjPjzjhT7FYYs+j5qDPpwTQj5xmCk+yWcbPq7HAz67rwA+h9wMPmvLFj7t0P49BZDlPTKr5D2ltNc9jEDdPdug8j358fg9y5wCPurGxz3sC7g9CsawPVualj2skYo9pLSKPS/pnD0RupI9EuWTPdZtmD1+PI492M6IPSLtiz1Xbok97+qGPTMqfz2dAYQ9GzmHPa+riD3x04s9F52LPUzChT1S03494wWFPRb/gD31poA9VFqDPdgIfD2gkGc9l291PYsuhz3oaIU9LxV9PTKxgT2KB4098WKTPdNUkj0oNYY9qF2IPZ8viT18A389m0hjPRK/az3BA3Y9Wsd6PX3bgT1kGIc9cnuFPXslkT0VnJk9LZeTPdCtiD1JH4U9k2t+Pfx7dz3Shnk9en6FPU1qjT05Sp49MvmhPVHnkj3Jk4g9KDR4PW24dD09Rmo9bkVyPW5XiT0o3JI9ExeIPeB1gD3OL3c9Uk1gPYrqUj3XGGA9oSZ+PUOogD3LBoE9nmiJPYz2hz1jYn89KAhdPWeBVj0Drl49Wy58PYI/cz0jA1c9cmNRPbMoWj2YymY9Dh5uPaUDgD335oY9dSWJPYVigz0awH4932R+PaRpgD2DGXo9QL5sPUAtcD1XkW89ewJuPQgOWT0AjTk9Ar41PSq2Nz1xbz09q4pEPdeqVD16hVY9kzFXPdj6Uj3TBFQ9wH1LPXLiRj1nFUA9xX86PQoqNj3IwDc9z9Q9PepvPT0tEj89vdpFPXlHPT10oEQ9Ro9NPVgGVT3Hy3I9omxlPZ5fOz2xpTs9DpE5PZggMz1P3Cg9sOo1PYs+ND0Vwxc9a2UFPQlVAz3MQhA9htwpPeagJz2K/S89dWssPec5MT3b+S49pN+cPb3B2j2b66g9k8R/PWTBUD3HwUA9hApJPbSSbT3iXaM9pO8TPnS2ID5w9yw+qHs5PtYFLz7OeCQ+vBQwPs5ZND5pdSw+N10dPrP7Mz7t7T0+iss8PieqND6TCjc+udgvPv/QKz6dhCk+jkEpPk5pMD6j4DQ+sukdPnQ8Hj4lvBs+tgsiPtYyLD5Z+C8+fWInPr1lKT4UOSU+DecpPhD+ND65JEQ+MDxCPszOGT4z6io+qIo5PsfDNT4r/yo+eSEqPm9bLT7r+Cs+BLEhPvsXIT7bYyU+QjQoPnPvMD7agDA+Q4syPoi7Lj44/S0+tiEsPlspKz6eox4+1nMaPifQLz6fiUQ+iTosPteLIj7BeBQ+TckgPmx+QT744zc+eXIhPhpDJT6H0R8+nmMWPiRWOT7VZC8+0NQiPinUJD44Hy8+rH81Pm38Pj7yNzs+uQQsPgURJT7SlDM+SlpBPmENOj5cvjo+Ra40PltUJj578Ck+YJU0PvJEOD5qKy4+V8UzPi32Kj4efTA++Ro8PvvKLT68ky8+ays/PmNdOj5/tC8+PZwsPmrrJz50EiQ+o5ckPhJLKz7dlTo+I45CPi0kNT6FrDE+0k41PuG/Mz4thjM+EMIzPrxVLD58xy0+cK02PnU6Mz6ykC4+Cb4xPtsfOD4Bzjs+WDo3PoxJOD65HDY+inszPq+JPD5evjA+0XYzPgx7QD7eaTY+ZH0yPrCGKz62TCg+cRwiPpsMFT5VNkE+qsNKPmgMIz6nsjw+4b81Pu8TMD5Glh8+FwYYPlcbHT5dPCg+Fv9APo6YSj5nsiA+chD5PSgmBj6/XDE+wuk+PsOqRz6QnU8+peUpPszWJz4KUik+rDAmPuhlLj4gBTI+ZuAqPuNaLT5fsyw+pVQdPrS5Hj70ZDM+l+EePlHlHz5qwyc+WrRPPrBfTD5i2iE+7G4pPmyiOj5Lii4+t0sXPkz3ID68+Sk+o0kpPvq+QT5kFT8+JOw3PpFdKD4V4h4+eswcPokCJT7VxDw+ImVVPkFkOD6pL/Y9NHwRPkayZD7k/o0+tCiHPuPMOD6LUjA+BJ4mPm1TTj7F8HE+bxNqPpnwQD68qlk+Cb1QPqu2QD6Jxkc+n/dNPge4Mj7jgG4+7OhtPuroKj6EvR0+2Y00PhcrST7sEi4+3CwqPmdvOT7AwG0+iIiBPpPBdj4DY0c++pk3Ps6SNj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/8lCxPWHEsT18irc93a7QPUsa4z39zOI9DTDgPT0uzz09z889r/O7PaBomD3ZbIc9gzCNPTYkiz0/eY49eVSSPTe8hz3wt4c9aWmAPbZogD2wk4g9r9qZPX8ooD0oaJY9coabPdulmj0uLqc9yw3DPXlbzT35+rc9J761Pb+RsD0kXLw9JRvGPb+cvT28Yqg9NIOzPfrywD1tHLY9Vd+sPaFYqT39r6Q9lRqoPW8IqD0uz6Q9Y6yYPSbhoT1aS7I9EXujPVv2qD2JYqA9xQuXPQY8oT0Plpk9e12PPTyfij0V1I495NmPPWs7kD2o3ZI92ISPPTMbkz2wM409asCFPWFCij3kNHo9goR0PTZmXD0zeEw96jZgPSY1aD3TE3M9d6WCPU7lbT2xFWs9yRlxPXPEej0bkoI9mhZuPaBVVj3uIU49RdRIPdOmQz15flA925c4PZ+kPz0pXkk9vGJKPesAQz10eGE9FgpdPe0oTT1XrTs9/xY4PapsPD0jOkY9d/JNPQ5GVz3J80k9cO1HPZF+UD3Myk094QxHPQVFXT3612k9e2FbPYowST05/Ts9W0BMPagKVD2qL0M9Dx1DPf3KSz11ImE9PKhIPeWuOz2HHl89Mb6FPZ7vgT19Zm09zxJjPSfJTj0YIDg9ZIslPf44KD3tnTA9ezIzPSkBMD1qYDw9Ezg+Pd4aSj38xT49UeAnPaPXIz22XSk9hZURPa1LDD1DAAk90gEFPYx7Bj3xChA9Ql4VPWu2ED37vB09GW0dPYT/Dz2kZgM90/HoPLDn0zwLWPs8jVoSPW0GFD1ZhRM9ONwLPYI/Cz3tqQU9vDUCPQsR9DwqNPY8+B7tPH/V7jyEze88YPXzPDHK0zw7wMg80qDaPPGh2TztRtg89gvqPIid4DzgNeU89oLfPLeK3Dz4Hew8iDkBPV78Bz1s9f08Ob/zPGBK5zz7vOA8057vPOu0/jx4tgI9/nTmPK2RyzzAYN48rYHgPLLC3zwRg/o8uKYBPbkGAj3xNA89k4MSPWdjHz0/XR89HNUrPbyBPD3inz89b1o9PSwaQD24y049MFxWPd0xVz1ZgEU9+TJJPVQwSj3Bp08917VgPRqmVT1Ma1c99O5jPZ4EbT3Os5M9jxmcPWxSgz0mO3w9/PF7PQZBgT0icY09FmyPPTjPhT3KQ349vZ15PSSndD1isns9lUl7PU5Jcz3L8nQ9G1OAPbObij2eFJA9AUKXPfNqoD0Jn6E9mYucPaEFrj3LH7c9tQW6PRWrtD1MD7s9UhLGPWtD0D2VQsc9vXu+PXCGuz3PXrA9U66oPf4xyz1tItk97M7lPVI8wz1Sl9Q9UOzrPTsu5z3Yhvk92dbSPVkgvz1zSMw9t73fPfVK4D1ectQ96JrFPdQOuz0/Nrk93x+tPWFLqz2eHKU9cae1PY9CyT0MMqg9MyukPcBBuT22VMU9P4m6PQjznz1oh589cqKlPbZcqT2I/qk9lwSsPbX1vj2t08o9PgPXPQVqsD3u8qY9K6CnPXURtz3vJ+s92kjiPbT41z3vleE9i2HpPRyc2j2VIMc9h0W5PeICuj3V9a096aGpPb4nqT1lUqM9LESaPUpFnD2QtKU9CieZPZm0mj0Ctqw9nH2pPcdFoj0Qsas9GZ2ePa3EmT3lQYw9c3l/PY99dD3mIH09E5yLPT4cnT1lX6U9ndydPVsAjD0cz4o94ZqMPf9Ngz0fxII9/1uFPXUkjD2fyYg9HHSEPYaSgD3Bp349pGN+PTWAfD2uP389W7CFPW/Lhj2k54k9GK6HPTlYfj2Yzoo94jeKPekZkT2QOpc9b76ZPapYlj3Z4Ig9KGN9Pa+Gdz1RAHc97T5uPfclZz2R/HI9sumEPQKQjT3sGZU91MGWPZdDmD36U6o9EU6hPV3BjT3BX4w9/vaSPYJ0kD27XZA9VomKPaa1iz2IIIk9J5uNPR2Diz1XE4c94bt2PfENfz2YQos9/HWQPRpAjz0qX5Y9mYCGPf8CfD2nEGk9/yNbPbhOWD1BuWQ9bmt6PbmejT1jeIo9MhmIPciFjj1z4II9yGl7PaiUaz1R61o9al1nPQXDZz1RUlI9xHtVPS+HZD36Enk9kXKAPcJNgD10l3k97UF5PcYYez3j3n49J7p8PUGTfD0w/3s9fWFpPcBhWT0um1k9HMxWPeTeVz1pAVA97stBPWGDQD1gIEg9az5RPQqYVz1yJVc9oihQPWqjTj0rB0o9WzpKPUwTRD2XMUA9OVk0PQ/IND0MDjc961NAPcL5Rz13D009Z5pNPSeKPT2xEz89v4RDPbLWOD2xDjk9sgFAPfEtQz3OtkQ9Rlk+PaVUPT2/Xk09bE91PdYSjj1Q0Eo99+DwPAN7Ez2+LSE9kqQjPZ0VKz0oEhs9s2cZPRh4ID0/+yA942QjPTSnLj3WWEU9cSRaPZ7DRT3QtyE9lvYPPUHLLD1Pb6c9yrv4PW9yKT7AXyk+RlUePqpTHj4l7B8+IzcjPkdhMj5geTo+MpQ0PqFeRD4+ZUQ+O8lEPo6UVj448z4+8rgxPv0xJz6dsSA+c8UdPqWCIj6doyM+zbEnPkI6Kj6kliM+LasiPqzaID53bCA+HQoyPrO8NT52gzE+ifg4PllSLz59VzQ+R2M+PtluPD5bAhs+8SkfPpmuKT7pOTg+jw81PlGsJz6avCk+AYctPoQAKT5pWx8+OZYUPhyuJj7YuiU+rRUhPj99Kj5+zyw+ZVkqPlIPMT4u4yw+Vc4jPrp6GT7Eeic+3Hk8PnQKOz43GTM+jLwiPjWnKj65p1I+K1whPjorGT5SsSk+Gjk3PlKvMz5HWyI+t/g4PkChPz7EGDo+RIZCPoW2OT688Dw+WrgxPshdNT7wiTM+t1YzPtFQMD7JXTQ+svk5Pu6QNz41OzI+mn0tPhE2Mj4qVzU+bMkxPlPTLz40bDQ+HHQ1PiwTPD7+YjY+ZOIyPg2VNj7d8S8+ySgnPtGoJz5L9ig+PSk6PpuENz4X/TQ+f/FBPq+kSj4fLUk+BQA7PiyuNj60DzU+Ne4xPgOsLD7MojE+qSM5PmxWQT6Q2DA+eyInPi6UJj5sFDA+FEBCPmlXOz6aVUI+sHc2PsarLT5CRSI+pLIoPrOJHj5SpzU+AF9CPi3PQD7HhkE+SZ82PrN3Mz7KmCQ+dewsPujKJz6NECE+R0ZAPvFjND4usCM+R1kMPmlR8D3FkOc9xz/VPe03DT7YTj0+q/hAPkYJFj43VxY+Yk8hPq4ROz7COlQ+It1DPmVGLT4fAi4+FX4rPl4iKz6jBik+YmklPjFJRD5W1Vs+hVVXPmJzPD7u8DE+VqsuPkQNJD6Vwxc+BZMgPsINOz4Y9jg+XFE+PsE6Mz623BY+YZkbPu52IT51OiI+MZYaPrtTHj47vjA+QvM7PoZZRD4GkiE+vKodPrQoFD6NkiQ+ngZCPuaTVT5I7z0+BX0UPvQBKz7BeYM+xXuPPoGPZD5HdTI+UFsfPlPQDj6NjhI+gcMcPm09Hz67SC8+vp5KPmJ1WD5qklc+8TpaPgInRj4+EEw+sLFMPtmWND5X1Tk+9DQzPszhMD7wByY+LnopPnLGLj5q7y8+lYpiPu56eT4I3Tc+02FKPsvOjT5S77Q+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwRamz3bg6A9CMWjPRhbrT36nr09ehnJPQfpxD0LdsI9taqzPaCknD208ow9wtF/PWCyfD0Ly4E9v5+MPQ9xlj1+cZQ9P5WRPedEiz3qwYs9IzaFPeu4hz1bVoI98wmFPVfdmj1gTpw9UNOePXYWnz1DSZ89PvudPbpIlT18fZA90I2VPXb4nD1qJpo9UQykPdDLsD2Zw7A9U/evPQbgsz073qo9IXOcPVG/kD3vDZs90YSnPZemsz2RsbA9yTOtPQ2bqj0ZxLE9GU2wPQPrpD1tiaQ9HCCdPf1+lj3UH449smiMPeiGez0L510955tdPVcMaz19eYI9+JaFPUUdej0U5XM96D5dPe5CXj3V71k9efxfPfQPbz2FcGQ9VIJTPf2LVj1Ynmw9wYWCPTt3gz1oAHs90FSBPV8gcD2qBGI9FMRrPQUJbz1zyFw9CftGPc5jOj0MEz89qapFPTnsRT3zQTY9k1lDPQwOQD0KRS897RMrPQ+cNj39YUU9NpFNPY34Vj2vAVQ9qrRWPbwJZj1uVmg9eMdfPQyqRT16uUk9GF5YPdngZD3DXmQ9hChePfrtSD2btTo928BUPZ0ZWT2sDVk9dANNPZE9Mz1CqSo9JTQ4PT52QT2zm0I9FRRBPW58RD0+rz89T1kzPQbVPD0/EUA993ZKPduFTj2uMzk9lQ4zPQv0Lj3h0E49p684PQrQHD0Fwh09loUZPTKeHD3Q/Rc9ZS4cPcWmFz30YwY9p8wHPdnq+jwk+wI9PnsHPcrKCz0YlgM9KRsJPZGM/DyS6uM8McMGPeGsBD2B3OM8qQ7nPLr46Tx2Lvs8jM4DPayJ7DxpGd48CiDKPP/A4zyGlfg8yvjjPDu71TxI5/A8ACnfPJEK3Twf5OE8yGnlPEjm5zynNcs83mLGPDQE2TwlhM08587SPAcZ2DxgsOk8VqzXPMnQwTwkIMg8wQvUPGpM0zzGiOs8PBfoPBRO2Ty3Btw8F9nwPBWa8jyWb/Q8Qnr6PBWR4zwFsPo8rGcRPcbOCz12KAo9vPkOPQXWJT29gD09iWo0PWldND0u1Tc9OHA/PdBpMT317zM9yUM1Pev7PT1rGkA9mddJPYddXz1P5Ww92GdtPQenfz19S4A9NXp0PSDdXz07ZW49G06APWO2dj29GIg9nyqKPRlSiT0SKHk9p4xpPdleez1OaYk9WwiDPQy/ez3XUH49dRSCPaXadz1zt4E9CVWEPVmJiz1rsJs9PlukPcKzjj0Pdps91t+rPZ1EsD1Zi6Y98Qy0PVPlrT23KrY91by3PVu2uT0X4Ls9DzGfPbitlz2DnrA9aSm8PVg8vT1Mc6E9gqyaPTH2oT1QGqQ9DyGcPSXylz1Fb549Y1WmPQhEqj35u6Q9VNOYPS19lT2E/pg9fMqPPWemkT2lqoo973yFPfCzhT1NQIg9ss+GPdv9hj3PoI89ImSePY/9oj1IRZg9ZzONPWUWnD1XKpw9SWSoPYHCrj0FwrQ9IqbAPSTSsj0y15k96Y2aPdc0mT2T+Jo9PoalPXB7oD3W1ao92K24PfnMtD2Vh7A9B9uZPezEkz1yCpM9ux+MPStOmj0UuJs9ppSSPR6Flz0OM5w9fveXPdZjkj2ZsZU9fxmYPRVsmD3kH5c9if6UPRIciT3UC4Q9O92APUP/bz2POHE9GHd7PeG6kT3Lta09LbKvPR6XrT3GeKA9U5mYPZJpjz1gWYI9yY1/PfEDhD0/zow9W/aTPfQGiD3qKoI9Guh0PeNDZz3TWWs9TIuEPbpjij2Buok9ikSIPbNMgT0/J4E9p2GKPZfLlD1MAJM94JiLPYxAgz07IHE934NoPYE9cj14Y3Q9ya9jPSlFaT0VS4I9J3yKPXbskD0N7JQ9nu6LPQA9iz2I65g9kwiWPYWYhj1QnHw9nH2FPUjmiD1nt5s9EpmrPdSZkz2MSm492MVmPVyKaz1N5ng9IfGFPVO5hT3wyog99KCPPcZ5kT0b64I91Ut0PX68bz2arWo9bdpmPceydT2C6Xs95oKDPbT4hD3MooM9xB6MPaZohj2Qk4I97H5rPZICYj2PNXc9GcFqPQCjXj2J0F49ILJiPdI1bD1enX49c/Z/PXmWdT0uh3A9katYPVEfXD0tenY9n1iLPdjuij2wKYI983p1PXyvaT3LA1A9KWJDPeMrST3ntD89i9E+PU8DPz3vMUU9cmFBPfXgRj32s0U93BRFPanQST0FilE93BRJPd4YPT3eOjQ9NXotPal8Mz3jYzo98Oo+PV1mTT3OMFQ9+3FVPfhZTz2BDjo9P9czPVJ6Pz1eM0Q9wbM8PfS8PT1+wz49309MPfMUVj0RCl89IGF0Pe6OwT0iQyE+SraqPUVKFz3W4h89TtolPYjKKz0zIy09eOIhPeNvFj04vSE9ztIrPXWcKz3TwyU9OdYsPag4Kj3k7iA9g0cXPUPEEz3bAxA9ZN4rPZprhj0utgI+FftFPs9mSD5gCCc+i+kbPtTpEj5Okxc+YcUiPsgcIT7MWjE+R3kmPiZwKj6xmjg+7Hg3PpEBQj7W7EY+tPIoPt7hGj7M4CY+ro0hPq3sLj70WTY+7TlJPg7rOT7uwyY+wIgbPvx3Ij5NpSQ+S7MgPpjPLz6WfDc+TQdIPtT3Oj5T1SU+uYQiPmIXHj51iSE+gSUtPo4KLz4L/i0++30wPtXwMz4h6yA+pjMYPsdAFT6PSCA+XZMgPsL2JD4nliY+mxE0PsuHLj4vzDI+IFgzPj5hMz5GIjI+FVoxPne9MT7LESs+g0QSPpqaFD70lDY+pXVLPsNXHj5fnTI+jYc/PunmSz68ajI+RbIgPpnWRj40ID0+AGMqPkOGKj7WmDc+u685PjjeND7oATM+rbEsPo2GKj4Ikic+iAEqPoh1Kj5x1jA+RHYqPnhsJD7c0S4+2YI2PvmiQj5NCDU+NII5PgwoOz4qSDg+7pI5Pp65PD74bzI+IKMwPuFZND404Do+inFEPq5IQj7NIzg+xuk6PhjwRD6XEFA+3N9EPu5vRD7PTDo+jRErPioUJz7yfCc+baUvPnFmMz5suDw+XAM/PiqwOD7IDDU++BQ5PtgWNT7MfzE+RTk9PpuROD4rNjM+vAEuPlbWID4evxc+PyoePs+zTj4jR1M+rLpMPu+aPD47Njk+60cvPkZNLD7wHzw+T8FCPpwFST4hpzI+gnkWPnJe0D0pFZ89nMCdPQm4rT27Twc+85MuPkI4Nz7uxj4+Hd05PsiBLT7xpDg+wEU4PhwMKz7qChk+xbEsPo/yOT5N2S8+3ZYrPtMwKj7FtzQ+5Jo3PnfGQj40I0A+BvwuPiJ6Nz7Euj4+O+EcPsGvJD69KTY+UjpGPhf4Sj7xGTE+d/grPrd8Lz57Xjw+EIoyPv42GT6IMR8+G9o4PsujOD6LtSI+j1EEPgiTDj6KFyA+Zlo/PiTHVz4d31Y+j/JWPru0KD4tkzU+cAlRPrbEPj4a5jA+HmswProcMT5lkCs+0s0uPmv4Lz7Z7Sk+xFwePgkkID7FPx4+Q9czPnEaOT7Frjo+ifyFPmHShz7oM04+Zr1EPhrwPj6W3z4+FkAsPn1yJT7XXzA+JdIuPi8AMT6ekDY+GWouPr46Lz7/2G0+/NGNPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+yMp89HBGgPSTfqD3Un7o9LQXGPYhGyz2B8sQ9lrDEPSPLsD2c/Iw9xXd9PXc4eT3pRIY9g0CQPdYrkT2N6pU9puuKPX8YiD0DDpU9gu+LPS1WhD2TJYM9QhebPT0Foj2cApw90BiZPflGmz1L5pI9pM1+PYY8kz13dZY9s02NPdbbkj2Vips9ihOZPR/PqT15o6U97N2SPeq6gz1d5n89c9h3PfiKjj0rjZ09WjCoPXUGqj3Bb6g9ddupPRf0pD2/qqg9bDqaPYDZlT0KYJs9ZoasPZyvsD02c5U9K3Z4PUAiZj2FxGk9kjR6PS6Gdz2Hpnw95Wl9PTiYcT0Gr2o96TJzPXIefz1FE3s9auJmPYsZVD0RmlA978ZVPVInUj0jA1I9bHhoPTRZXT27rl09WyFhPaLqdj0FjHo9e7l4PQ0xcD3RjF89og5WPVgkVT1pq0k9VrZGPWDxaj0sm209jPlnPaNKVD0A5FI9GdBWPY1YSD19w0Y9MhVNPfT6aD18XWY92DNXPYMeVz1i+1E9mSlEPazwMD0vijQ9m1tGPTmTXj1nB249Ad1lPXiiVT1BZko9rLdoPau5gj1Mml09eJRCPePFRz15plQ9oYtXPTGqZz3C0Vc9PXJZPTyAWD3D+k09Rf0wPTtcNj1pp0M9HKI1PYGaND15bjI9Pq4qPV/jND1VODA9P40yPXCoOD1UtSs9OUgbPUMJJD1tayE92/4gPZT5Gz2G2xE9n2gGPZPX9jw/HPk87qUDPUBk9TzkDvg8E8IAPd7O/zxRg/A8EGbYPKUI0Dx5fus8yy79PAhO/Dy4OuE8wsPhPGx44jx2bN087mHcPNVhyTwHC+E8rs39PN+U4TzWAsc8iwHRPLu11Dz6aPc835DjPIbF+TxBHgY9hrbyPEMiwDw9R688z9G8PJl8yDycKcQ8nVi5PENgwjz9xcI84JDFPNry1zzcQes8+WbxPOpE3TxQN8s84wHuPGKK/jxYD+88QLfqPNyH5zwWjvU8HOD2PMZiBD3qTQQ9wBsFPeAeCz0hxwk9b3kaPaGhJD3d3js9KUg9PZv0Oz2dSiI9eEIgPe3GHj0w6i09t+FPPQ9+Wj2LZXY9vs1uPUgPbT0IpF490YE/PUGbTT0xrno9+6iJPdMOiD0RDII9Sl+APfKjfT2EdHc939VpPSF9bj2my3M9d5ltPVpFZj0RRWQ9MG9rPXSgdj0IYII9jS2IPTWRhD3GbYU9+u6GPdPHlT3v8JI9O8CMPXyekT2H1Jc93xmgPRcOnD2IIaQ9/eeqPQxrrz2IEKU9JPucPddfnj26Mqk9WAG7PfKkuj0UTbI9TiOyPbnGwj1mwb89EL+tPRVjoT3KHqM9i8qnPUOInj3LjZM9iAeZPUM8nD2CLJ49kueTPWU6jz1lmZs9FviVPSqyhj0ZNIA98oZzPRAveD2Az4c9n+aTPYRbnT0gwp893x6hPZYbnD0FfqY9ZPG1Pa7WsD1oH7A9HAuwPQBqrT0KVKc9L5+dPT6jnj0006k9x1CsPajNqz09p6g967qmPVCIpD3Gz6Q9hJajPdLfnj0r3pk9k32UPf1Zjz3F6JU9J/ePPeZKkj1wvpc94TafPd//oD2kT5898NikPXykoj3vzaM9zMGsPb+0rD1jKps9Ps2SPWE9lT1lEqA9DUSnPaWioT1TRqo911erPQSspj1ECKM9VbGZPbgXiD0CtoY9ayyJPZyDhT1PaIo9NcqTPWr+kT0v2pM9J+yGPXsHcD16MnU9AhKAPX6fiT1E+Yc9a/SLPRUziT0uPok94a+RPSeEoT2NwKk94/6ZPZiPgT1VPns9Mep5PeZIgD1Lg3k9jPmFPdi1jD2Guow9UzGKPdvJiD2Y2JM9NOSTPYpJiT23RIc9jPiGPQNjfj0XdXI9yKt3PV46cj3SfnI9nw54PSdRez1lLXY9iW9xPTTCbT3tonc92OKFPYEskz1hM409Czl7PShFbT0+C3I9DTVzPW2hfD1YWYo99xeOPe0+kT0H9ow9iA6MPTOfjT3OeYU9WfZwPVnsgT1yWmo9fcdfPZ4mYT0i8nk9vjF/PScSYD1oaEk9k6BTPVkXZD0ClG49+uBwPXLaYz3Pj1098GZwPVF/eD366YY9i4p9PWY/Zz2mpFE9ri9RPZXqTD0o9UU9WZVIPbH8ST1rikw995VFPYTVSD0aKE89tdlNPStdVz16p1Y96mhEPVyNQj3OX0o9J+JGPSLMOT21Dj89OzVIPZIMOj0vf0E9XhJJPW/uTT2tsEA9pl80PRIDNz1yzzg9ZloyPaHiNj075D09FSpBPb2QOT3RGjg97Xg5PbalOj3zojM96b1BPTh+SD2le089ggxQPZNdPT2z+zw97bw+PcCjNz363DU9LNEpPX+aKz1PGic946U3PdvCPz1FVTg9fREqPRE+Kj3DxCY9/yEePdiaJj3ygC89/Z0YPdQjHz0yTEU9HAXyPewiZD72XDc+us8bPhONFD6ztRA+kLkcPiZdIT5LPSw+QuYyPrvXKD6hGic+5j4iPos5WD5P+3s+WXd4PluILz7sRCY+GbIrPjl1Qj48Klc+CJN5PmGZdT74sEE+8AMwPgUPMj7BpSg+F/gmPofNJj69ETU+xTl3PrYNgT6KUEY+CKwjPu30IT4OpR4+04QmPsGWKz7HQh0+0gs2Pp7INT7PkSw+q7YkPrIoMD6E6S0+u3gvPnYTLz6ryi4+N+gvPl14Mz7OJzc+7bhdPs3vSz5R70Y+8vc9PnltKz7vZjE+GF1APiIxKT64iTI+jqFJPrBjJD6NDEU+L0UoPjrbIz4sRz4+3S9kPso8Yz4qr6Q9w/JSPYyg7j25FR4+i7crPgfrKz5o6zM+okUyPg6wJT4NxSA+xdczPgU1RD4uDDk+E6wzPkb1NT6/cjM+MbAyPmp0Mj6+Uzk+plU4PsGINj4mBDY+CTowPm06Nz4olDo+lpk4PpeOMz4+KjI+xuM7PtZYOT79yUA+YDI+PqBZQz6ltEQ+fThDPoldQD4OKUk+O489PqvfMD7Wf0A++XxFPqpbNz57yzI+Sp5JPrOMUj6GNUI+Vpk9PmhjNz4fJz4+2Wg5Pr3XLD4BByE+wS4iPh8SID4UeyI+wtY0PmVHLj6X50Y+XhldPg5sWj6QEjo+VLQWPsItKj5P6CA+dAcjProKIj4KMR0+elUePh31Ej52ngE+nD3nPUPG9T1Slhs+coo/Pp7BTT5P6y0+4/g2PiRCRD6V+zo+FMIpPkh+KD5HlzQ+5s8cPvq0CT6tBhE+cmYbPnR2JT6psik+Z8IgPr/VPD4Z+Do+Hs8kPp7eHT5mIy8+c2g+PsbdMD6TRiI+NY0qPl5FPD6NQh4+IZIWPj2nKz4ie0A+YaE9PiavPz4IJyI+JMkWPj1OFD6AOxE+sX4hPgUlIj5IsyI+NzUwPj3aPj6LYDE+8vQwPi4KMz6PuC0+PA9CPqrzMj5HJSU+AEIvPvUoNj6vqDo+kV81PhYoSz7Bp00+ZopEPlQkFT7ktyk+Zfo6PiwZMj71pic+RQInPhrAOD6hymg+dKpPPjYyVz4yrWc+IEBePlLcTT7+eDo+nJE9Pq35QT4iXjY+L7AsPnj5KD5aSy4+HZosPsgoFD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/MNKtPf/Orj0nkbU9luC/Pf1dvT0thrs9jxfGPdHfxD2k5LQ91SaSPa3lhD38iIk9kP6PPbKhhD0ZFYk9eAuOPbbujz1hzpQ9lLOPPfS4jz1i9I09MqWNPf0tnD0675U9NCqXPTYOlD0MYJU94YeMPdlDgj2bLZs96kGpPepDnj0bBZ49mDidPdEPoz0tS6A924GZPVKjhD20JXY9SDR/PcqzkD0BBJA9IeKgPQNtsz3Tf6w9PlOmPZLcqj3WJK09yiqlPUgYpD3FhqA9uq2gPb+Fpj29Rqc9KeGIPZYeez1Aan09XxOCPSG2iD1GJJI9ZPuJPQFtiD0kAYs9/MOFPR+Kfj3pqHY9ta9vPa9NcD3E2GA9PNFNPdmKSj045FI9/aRjPVSOZD1SUGE9X/1yPd6pdz3h7XE99Rt5PeOleT1lsWA92C1NPVW5Tz0v/149m6tiPSrLaj03c3Y9NmtqPUYsZz21TUo9da9HPQ0dSD1WxT89v7hXPS7dbD1X33E9bvZmPfvgQD184y89CZYvPdmjRD1XTEY9he1TPVRbYz34J2M9XK1fPYvCRj2qCEA9CaVNPTnQcz2Osms9o5ZWPaZKWz2U6mY9XkpzPV9cbj1DpmE9eDBVPXyvRz0Sk0M9sZdHPcXPOz3fKz49KcdIPWmJNj0mgyo9DpMvPeXqQD3fdUA9Hh8tPRK7MT3DHys9SMUbPVFRCj1nuhE9o6ETPcB0Cj0+cwg9/h8DPUxhCD39WA09ip4BPQcJ+jzBMQU9DcoFPY+wBD23tgY9BlsHPZ4bAj12H/M8AAzqPGoJ4jwavNI8x4vXPLQR9zwfsQ498mwVPZHH/zz1EuY8U6nhPG7m2zxXwME8O1G8PCXM1jw4hek8z5PCPJCyxDwOS9w8vZraPHCj0Ty+47Q8UrG5PKO0uzygksE8OTPNPMNX0DzWRM08osPMPGQ06jzS++o8mD3dPKXE2jzzl9I8VJbYPG6O9zwlZt88D9fOPBtR1DwkoO08IDz2PBj26TyKxPI84MbtPEv/5zyLY+081DUCPce+CT1iCA49cK8TPd1yGD226xM9QC8IPdmfCj1QUxo9EQ48PampXT0bXGA9m4hrPUYVZT2l5ls9WYBjPRagXj2Vc2c9yoB8PRcSfT2hxmw9Q+lpPQRpXD0drVI9x91LPTG1Sj1Qllo99y1wPaXVWz2uJVo96glaPRv4Xz0JFms9aI58Pe62gz16FIU9KMmIPcmLhD0rJoQ9e1GMPdRdgj2qU4E9JkaKPe7iij1pF5M9NMqjPVKAsD0UaLE91H6xPRiKrz0LyK49/s64Pei4vT2SecI9zmnGPRb6xT2fV8k9qK7QPeQDwz3scro9JWS5PQyetT06XpY9gxOPPVhtlD2hO5M9fCOQPfHhiT0vjIY96YSOPW6Tij3KMYo9xseCPQkffT0F1H49OzyGPfBgjD14d5w9bFikPfX3pD3VOqA9ewOlPZFrrj2Kw7I9aOaxPRV3sD2gyK09PairPUOHnT2Pkp09lOutPQ96sD3XC6o9p2mpPa05pj2dJ5c9rn+PPXwAjT1Q/o49jieVPZUgjT0WvIE93I6MPe+ClD2YbJQ9rISbPRq1pj2wK6I9oSyZPf0dnT1pmZ4983qlPeAroj2fLKA9iouaPcTElT3CwZo96nWgPY8omj3PI5U9UYqjPS2ToT1VOZ89t02aPWK3ij3dFoM90D2BPbTUhz3GoYk98TuOPTGTlT2/hqQ9O/OmPWsImz0j14891GmMPV7ehT2LxYE9F4+BPVhJjz2sFpI9UWuLPUi/hz2rj4c9tL+dPfk9iD2Ni4E9baGIPY8/iD2DqIE9vbWEPdSffj140Hs9OfWAPQvYgj2lwoo9fRaMPUWphT0vv4E9n4mAPbrUfD3wynk9Ah2APT6/gj0KVYM9mxSRPXgLmD1pVaM9+fuWPcK4hj2oSIA9DDmAPQ0KgD2ZHXk9JY9uPY8qaz3TH4A9Y0iHPSD+hz1vgJA9y/ifPUIhoT2Bj6M9wBWnPWI2oD3nDJQ9n0CFPTr+fD2z92o9bgZgPXJSXz1I21897LdcPcVqXj0R0WA9+9dqPRJpfD0RV4E9VSeIPfcOgT1tJHg9sMh8PSyieD1OT3k9IIV4PepgZz0fP049+15SPakLXT2aKFg9MglKPRxiSD0j51M9IjxaPZAQVD1202c9V4hsPWk0Zz25wV897TZMPegXRT30NVA92cFXPdMDXj3OH089eFZJPSfYQT2rGTU9gzUyPf6JKz1fXyY9oykoPTftIT0kKSs9MM8zPacdOD0d6jg9FWs5Pa37Qz0g4EM98Y9DPYmbQT1Ww0M9mRhDPXjYSj0gglA9O0hOPQXPPz3Vezg9yoU6PZU3Mz3ceS89niszPdf+Jz1PnSM9sVwpPROwOj1uQU4976VBPQgALD2F5To9TFFDPfyzNT3HPD495MEwPcRYIj3IUSw9fblnPX682T2TRSg+JWgiPsT1Ij5tTR4+G1AUPpe+FT6ouyA+1fgsPvvnLz5QPDE+Ujw4PiPNMj56zEM+FtlOPpkXUj4/qTY+U6E0PirmVD66I2o+Zl1ePrzrcz7lcGo+lKQxPu/VMj7d4jY+IgowPnwCLz5qBiw+qNosPlUzYT6b5IA+pERNPpsEHT70hxw+nbsjPtroMz41qz8+DMQ1PlyxMD4u0iQ+ikoZPkggLD5gTDk+tSQvPjWGKz6uZyw+ALouPtC4LD7XdiA+cMMiPgk8UT4AnkQ+yuUxPsWAGT4hqy4+tk83PkxBMj4oois+DgEqPomWLj6Ady4+2dQ1PkQ3HT6coCY+CClDPt9HPD7HYxI+x4f/PZHUEz4JwSQ+dj0fPh0XFj4LtCk+b2JhPky2NT7VvCQ+QQAhPt+SKT5fPiw+y48uPnwTLz68kzk+satGPvuhQz6vYkA+PyEyPowpLj70zDM+6vQ1PiL8NT66VDU+/74yPp7uLD7o2y4+85c8PotDRD58Y0k+lXlEPizGMD5NQjM+m6szPjRgMj4Rszw+fs9LPoEbQT5UeEM+/hU7PmFYOT7ziDI+APYvPnD9Oz7jFD4+3PE2PmKcOD7ZOTk+L5E6PujTPT63/0I+DOA3PgzJIz4+VB8+xBwaPmiNOz7VzEQ+JHhDPl4gTT4gB00+Sr4qPrRxDD4liCA+z/IjPmCNHj4WsRM+M+MRPolvCj6HuwA++rUEPqi78j1ADMo9yZHfPS2WGj5sJT4+hyQkPr1lFj5EQUc+eFc+PitBIz5iH0I+n5BUPs3KKz6Z/SM+XrwrPnhQOD5wNi8+X4YlPtxRTD6lqj0+O88uPpyMJT56GSY+808fPrXVOD6M8kE+nJhDPthqOT4uwy8+NncgPpAXPj47Bz4+zq5LPtgjRj60xTw+zeQlPqhtID5OMyE+XPIgPgelJj6ZpB4+VO42PovKND73BS8+LxsyPm2FOD5XSz4+73kiPlxTLT44YS0+ZzAvPgLmMD5a5Sg+qswzPnotMz7Uqzs+GmBCPjSLQD4YryU+KAswPqRiNz4JBjM+nMwePs7wGz6BMUc+W20yPk9CJD4FvDc+SzNCPsiDTD6+EWs+EkJDPldzQT5180A+L+U3PqkBSD7nyEc+Y+MzPqgggD4Zo6Q+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzyLpz3KL7Y9l0W0Pbw+vD1wi8A9KWW1PbFCqj06XaI9qCicPaJrkj2/fpY9RaacPQX3kz0vZYA9dup/PcEggj0WtZI985mJPeQygz2XpYo9zWKMPZAMkT1VoY89WtaSPckRmj0B9pA9zHuMPV3kiz2h7pM9C7ymPfRStT3A0pg9+oCePZQ1oz2D5aA939edPQdlmT0fpYs9q2aFPW5ugT0p0Iw9gbOVPe6uoD2zxKw9Kfe0PTKrtz1flLM9Ue+xPdbPqj0t5aQ9hmiePYnpmz2vHqM9GaSbPXmRiz3hKo491YWSPUromj2FYZ096eimPTe4nD0KnZI9J4KSPYa3hT3OYYA9vW5jPcgvZj2a6Fw9ElFNPW25TD0DiU09w/JXPa0kWD2kQV49Mal5Peticz3B1Gc9kAlhPagVdT0sN3M9EIZjPUrsXT3PpVA9aZhbPRlEbT1i8Xw9p4yAPe7Rgj18U5E9hcuMPQeibT3VfE498GpOPbJGXj0VA2A91+NdPcLWUD0O3zg9+qk1PbPGRz3pMlk9URBWPZlASj1um0U9vjJNPQpzUj2QJkk9JBtfPdysej0sCXo9mYRaPThmTz0nRFU9dlVrPYyLbD150Ww9+CBWPU0ERj3HrEM932tGPWlbUD0yV0U9rihcPR/DSz0BFzQ90Wc4PesUPz0ohzw9Ml0mPc11Lz26cDw9E3sqPUtWHj3xpQ09DIQPPfqRAD2AIPo8goP8PLPk8jyEs/k88zABPWnq+DyrZO48z93kPFaw5jxwQwU9m7IJPTl7AT3YVAE9XUMDPYc97zzSX9s8BWfVPEOq5Dxtz948cUTcPBcv8DxGo/M8DxbePE+36Txvaeg83QnGPOc8wjwRRMc8ZtrSPHQhwzzz0Ms8gn/ZPJ1kxzy/lMI8lzTMPGqZzzx1n748aPW+POw0zzzdw9E838LaPGRV3DwJg+o8Ayf1PKqZ8DzyTP08FdX2PF764zxw1fI89g/qPBjN3DwziM08lvfOPBqQ1zyfa988un3iPI8C9zyYHgQ92SwGPVDqCj2c/Ag9ECsKPe21DD3qPgU9Y5EEPT3/AD1zLAs9YKcSPYyVTz3kAlo934lFPRilQj1QFUQ9VDBKPU1OUD1Zql49RpZdPQw9Uz0d50Y9kXhVPQLITz3TEUQ9IPBCPYqmQD3lfEY9E1xZPSgdZT0uPV49ihNaPa8oXz28Vmo9xYBxPYF7gj3GOIA9fpVnPY+MZD1nsmk9hMF5PRbBfT0SlHY9eph4PakbfT2B5389AsuHPV27oT2dRK499iWpPXF6qz1EU7U9Ou3EPTTcpj1Y5pk9RfGmPT09rT1Hr7M9YDC1PU/eqD01qK89Iu+uPTE8pz1o85g9DHuVPZ8qlj10NpU96LqZPfdXlT2Kp5I9UUSIPYGRjj0i/Yc9+iuCPQYUeT0xNnY95mZ7PVLDhD0Dtok9WoCiPapFsz0o77U9E2+wPWV1rz3cvaw9rIioPc7Srz0F8rI9Km2yPfNatT09/rc9/ei5PQpHsj0Pwq09OL2tPQESrT2bJaQ9w0eZPcAmnj2fCJQ9qqiSPetllT1rfJo9aUCLPUEZij21NZM95YWYPQU3lT3AdZM9sqeWPVA9nj0I/pw9ThSXPXolnj2Qsqc9IqimPflsnz3sAZQ9BQ6UPVrJjz1A0JA9HReaPdrQmD3J/5k9+G6bPZ/Ulj2jCZI9SZCUPczbjD3kiY09p1qePUa7oD0gnJM9QDmWPcmvoz20BJU9raOQPZL5jD2Bu4U98jZ+PRqjcz2LYYQ9EE6HPd3feD17WYA9buB9PaPniD0acYs9Vu6FPetKgz25YYI90meAPQlcgj2tzoA9CRJ+PfA3fz3RO4M9EyWPPQENkj1eQ4w9LpF9PdvIgj2CDYY9GsKPPevukz2XT4o9gNmAPRK2hD1GMoc9e/CMPRYWhz3S34g9AseMPfCniT3eWoQ9fTxtPQWWcz1/V4M9qsiRPV4zlD3AAJM9++eXPUd+tT0hVro9DrugPVEGmD1dP409yTSJPf31dz2f73I9+thwPWhpaj1c5G89k5twPdGxbz1xXm89ktCBPYTqiD0LCYc9e1CFPfb9hT311H892kZyPTxNeT0yvWw94rJkPUCNXT1L01k9s1tZPcJgTz0m/EI9TPpKPexlUT30x1c9xGJoPaKDaz1g02Y9rXNiPUS0Xz0m/1k9rOlGPb6BMT1YGjc9EstLPVHGUT1dLF09YCBmPZppVT3boTY9+fU1PaYLNz32ZTE9528iPa+IIj3GHyI9IDgqPcAOMj12LT09oyNFPfnjSj1Ax0I9rMRIPXe9Sz3sfE497xxAPRZXOT1sJUU9l8tNPZtsUT18DFA92tk3PRRPLT3CjyA9TKIdPQmAIj1fMiA9SCcePVTdIT0MbjE9KBswPXYlNj0gCDo9y0BPPcEGYj2lbEk9QOZDPS7/LT29siI97kskPeiRdz2RzO89sP4aPlEQHD49wh4+3eEYPu4kHD6J2R0+uf4jPnJMPz7nEWg+eGZyPjzPbD6cQlQ+IDIvPgx8Kj5TEDI+O3gwPjgnMz57blg+WWpDPg/EIz6BoCY+OzAnPvw9JT60jCk+OzYmPpmRID7neBc+zN0ZPiJdVz7cxJo+PUeFPnywYD7s6zM+pJEjPmX7JD42ujo+YOZnPr+BZz5D5C0+x7ojPgEZJT7+PSw+Avk2PnxlMT6CNB4+rqQkPiXyJT4phCQ+7MYkPlfzJj7glCo+Ag8ZPq1wDj4mMRQ+Mz4zPj3FNj4LbS0+hTcrPsyfIz4sjik+ZGciPppDHz4z1RI+8sYrPkYbOD462Tg+NWguPjdUTT596EE+eYAjPmzkED6GYxE+dEUhPsrpYj4FfDw+KHYhPpHyJD7XXiU+hAAgPjVyJD4UiCw+YY4rPjeKNj6teD8+xN1JPrvpOj61ZC4+2Q8zPgH/Nz6hFTg+jLU7PuKiLj4VcTI+hjg9Ph48RD6yxkQ+EFVBPmRINz6S1yw+BucwPs8+Lj66ADA+BPMuPuDUMT4Euj8+IzlQPvigPT6wJjY+UDIyPkX9Hz7R2SE+FDQnPp7gKj4eMig+LcwnPkoxKz5QXjQ+sPtFPjidQD6lpzk+G+Q5PnrxNj5cQSo+i6ovPg2QSD5Y8j0+dGU4PuucMj4sly0+De4rPrnQLz7SCR4+q/8zPu1gKT4EzgQ+itoJPrq5KT4q9ig+SYH+PeZ57D2dTgg+W0I0PkmGMz4ddSw+39k7Pu+dOD5irTc+NL1GPl9eSj5ADDU+054lPse6MD4olTY+LOAwPg4ZLj6Vxjw+8t4uPpACMT6WQjs+ZqdDPqivST4F8Ec+BwNJPrsMPz4B7DY+XI9JPjqvJT6pbxg+ejA0PmRiYT6YdFY+HIk+PizzLD7M4y4+y4k0PgbsNz74ljc+USkoPgdbIz7URjQ+YCI1PgAkPz4qt0Q+OB45PojqLj4X0zA+xsIzPllvLj7TBiw+qtAYPlvAJj7sUjI+PqU1PmBdOD7HDzk+s0wwPhP/OT41vz0+U/guPiBwGj5qUBs+ZxxIPk8QSj5p7Sg+GXkxPkDGPj5xqk4+Q2hPPiuBOz6iwD0+h2JBPseEOT7svTw+vZo6PtYpIj6gPlE+ezKKPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8dtKA9lSO5PZX2rT2WO689EJ2vPerPnz2Qbqc90vizPTt7vz2WXLY9YxScPVfilj2SL6Q9PoiaPWIAlD1Cno09o9yTPemiiz3G7oQ9Gz6DPehdhz0qAos9h+WOPevYoj3MPqk9mfWXPWs0kT09zpQ9lx+YPS4Foz1BWJk9yPSTPceKjz0Fo5E9MumUPdBnjT2wxKI9XgyrPRrXoz3Qk689YLy0PdTTrj0yUKY92ieyPS4QuT0EH6896RyoPfX8qj2I+bE9flemPWkclj3fYpE9/seSPf5Llz3DS5M9DN+VPXzYmz3NBaM9IjKkPXqMrT2gipY9FAuDPbBVdz2UFFM99zxMPb95UT3B4WA9ngJePbIdWD0fTmY9lVtdPeeNZD3yLW89r1lrPbbdZD0luWQ94QFfPYb5ZT1FZXk98rFlPZ/SUj0zq1E9WvpOPZA7WT0Idns9PRaDPV97fj3RQXo9kyB/PZfXez07bW09/TFoPSp6az3BPWM9QzNaPTHxYz2MJ1s9YN5SPfO9Vj2yU2A9TxFfPS5vbD2Ja3A9lM1wPdCLbT0fW1A9DjBNPVNndD1XAYA9wahjPT2PVD0VN1Q9YPlbPWrAbT1n9Hg9JT58PUxOVT3y8zU92ws8Pfg4Rz3ujUQ9akg9PTDFOj3gHjY95WVAPWJaRD2qsFA9gnBTPb9yRD03xlU9fa9LPdoWJz3TYCk9wdokPfS7GD0CXgU9puQEPdtjCz2hnRI9tB4UPQ/UDT02VwQ9iE4GPaiRAT0/AQM9lzMEPVPKCj3krO08+UP2PMJA8TyiD988o9TbPMeY5jxBKfc8/eXsPPjI8jzbC/48X2sAPWjGBT2FewQ9EIrPPPROxjypvcE8bcHGPIA7zTyVFus815kCPTqX+Txq6eQ89nfaPFSj3Dwj1dM82J/IPFAcwDxW4NU8RYjiPOhC6DyrGPE8TZPgPJCH8zxAY/U83gsHPQiGBj1/X/g8IBL1PDmL4zwnJM08DrjXPFULxjy3IMY8BLPVPJcT9TxgpBQ9O/ElPTpJGD1bsQ09aWELPTRqCT2BywY9n5sCPX6dAT0M3P08wVgBPbPhCz3l0zQ9FPxDPUWZOz3VoUQ90dpMPbErTz1i9mA9ULFQPch7Oz0TYzI95lonPe+hKz39YS49AhQ3Pa/DQT0YjEY9MZVWPQy2aD1yVV89L/pePfZHbj0+a3M9jRlsPRm5ZD0wSmI9VgRYPR5yUj03VVY9VZppPeruhz1QHHc9JHlzPXFHfD3XlXo9Rxt4PS3MhD04qZE9oTuSPQ5nlT2SDJ49hAKkPY0Etz3DKJ89AFiQPTkhpT37QrU9Ayu7PUyZpT3DT5Y9ov2lPZA6pD3p0Js99w2cPfuonz2GCJ89XmmRPe/rlD1CP5w9XCycPQLmhz1nf4g9zN6DPRmFfT269YE9J1CIPVNnjT2XWJY9MwyXPR/ZmD2Z6J097OemPYftpj1aqKI9Us2fPdKjpj3FK689GpPAPUszwD05C7c9dKa3PVY8tj1FX6k9CtmoPS7EqD0Nd589T1iUPazOjj11TJQ9/bKaPVvOjT20XI49XoeNPVjagz26PIc99mSVPT7+oT0BTJs9JfWSPS1Lkz1/zJU9hqqSPYlPmT16Apo9YiaZPX2rnz3m0aI92iibPdYsjj1rx4g9zwGIPRCniz1uypE9QwOhPaXVqT0zbqg95jqoPcu9pD2HRpo9i4yZPYkgnj3AoJw9vpGcPbsOmj2tHJ49gk6OPQhEeD3pX3k9h1J/PfvUgj2g9Yc9x72JPWYDhj3MxII9aD2MPWz2iz0lRY896u+IPXYOgz3CkIY9dXmJPfsuij2cio49tnaQPWJWkT1+FZc9Q0uaPQT4jD2oRYo9b5iLPZXthT240Yw9lSuSPcu4ij0yJYo9FXCCPQwtbz2Un2Y9AdpoPeimfT0huI09LkGhPXvHnz0QU5E9LW2IPakwhz2MNYg9RAmPPVeZkj3XjYw9P9GUPd8Ilj2TbpY9VwWSPQ3BhD3Q24Q9SQWBPaP9fT1FHHQ9z+J8PdwVhT1gm4U9jJSBPaDEfj2b9Hw9e3d7PfTBgj1NB4A9KA6DPQmoiz2NaIc9iWyAPRV0gT0NL3w9CaJjPWt5Xz39Hl89R1tWPa9IRz1oVEc9101HPe4pTz1Y8lU9OqVkPb5dcT2MhG49GWBhPRYHQT2ObkA9YqI5PYOZMz3xLzY91kw3PS0YRT0Y9Es9gWVNPR7qQD3jeyw9I3M8PbY3Tz2Mt009ezc7PQUoJz0j9ik9MAsyPXjmLz3eezM9P9w6PekXQD0ArkE9MbhHPVUdPz2L9jM9mR4yPXyWOj2X1ys9YKVBPb1STj0Lb009LA1PPQZMOD3ShCE9nhkbPYvdED2vOhM98lsXPYydID2F/Rw9JewpPeklNz3Iczk9skE6PU0nPD27Sl89qFJlPcm1eD0zu449if9lPT7dYD1TQNw9y1wfPquLJD7dryo+hVMcPjneGD7vfRg+Nx0cPq8JJj6xejk+D+NYPsqtWj7Hskw+lRVGPmLeLT4/EyU+zy8gPjUgHz7FrSA+w0koPlotKj7IJiQ+dJMaPlRNED4jJAo+rlwNPsd4Ij5DmSg+1s0pPoIAMz5pQlY+xjOJPg5JYD5dBUc+ViMtPq70Ij7Qpyk+seY3PvsgYD4lY1c+r2IyPsUqNT7TLTw+00dDPtsKNj65PiQ+2eUpPujRKD73zSg+3xUtPk5pND5iOSs+5aMzPkZdFj5k4A0+yjklPvv3MD7+2yU+JIs1PjcVOj6IFDA+zHszPkz/Kz5l1jo+kVgwPok0MD4QSDI+3yEuPk07KT4T3Dk+bbMzPsoQLD6gwSQ+4gQkPj0AKD4G61c+xPc7PohGKT4XPiI+d1IhPj7VEz6pxD4+Ll4vPlVpIj6WlCo+24IvPla7Pj7hDTo+9RItPgaAHT7pIy4+ask3PnNART7VAjk+H4hIPgPRPT7+fDI+ybc3Pn+UNz5NJTE+AjEwPudCOT7Vly4+aVAuPsCGLD7xAy0+GOA6PjfbRD7xrUc+LjxJPgkuRj6urC8+Cu8nPmM6LT6qtig+/KQvPrD4MD67KDY+v59FPtSjPj6A0zI+dq5NPvbgTj4YCUo+n+83PtXvKD7r7Ts+A7xAPoUNND6Sjjk+PW40PhfpLz40mCk+5NohPjK+Lz5Evys+fssUPsZHGD5HqTM+2zlWPibYKT4XaCc+2gInPtpbLz7I1CM+vJczPk+SNT5Tezo+FNxCPmYONz5iuR0+gEwkPh1VJD47nyk+YJAiPtyRIj5dvSg+DdYsPnf7Gj7YxiM+5jYmPn/2MD7Vn3c+WdmGPmqQbz4qC24+yeJHPt9+Rz5/cDk+vqMNPoPdKz4hTEY+1atIPnrYOT6q1SQ+OnUaPsp6HT4SCCs+9ggwPnXELj5RVCc+8/UuPiSfNj5UXzk+Gso+PjY9ND67US0+rMY5PtSIND4GwRw+CSkWPlLLGz7UUyg+tZcoPsTiMT7F6jI+2VEoPjHdIj6CzjE+8x43PtLwKD4cNCQ+3zJDPqcyST4yLzU+xl8uPuqtLD67KDQ+mE0uPoJpLj5SW0Q+AaRUPiu9Vz5LwVA+scpAPpBrOz4lACw+760wPgmIPT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/EaisPe/8tD3Vr7w91evDPTdJvT16q7s9/CSyPTzqpj32Wps9lO2VPWltnT0FO6U9UcitPee5oT2+nZA9iZ+IPRpwhD2nkIE9Z/KGPXsFjT06rZo9a46cPV5Blj0GbaM9Z+SaPZipmD1QoaM9zcOdPdtJmz2qS6Q91XGpPc5goD0s+Zs9tqmdPUf6nT02T6k9zYCzPWSJrT3B96s9/L+xPdmQsz1Eyqs9LeWrPeNPsz1AV689kqupPZPMpj1gcqA96raiPZNIjD19TJQ9w7+WPT3YlD0TZ509jLyqPWIIqj3vZKY9ROKfPZyNlT0DcpI9HYKBPesaZz3oFm89gXBoPWTZZj3pi2A98n9NPUs+VD2UaGQ9HPNsPW4fXj35R1s9uW1SPXhGYT2eRWk9wxNUPTVkTT06+Uw957FbPe5Taj1F1Fg9kAxqPaCcgz3ykoI9dvSBPTLZgj3OAoQ92OWFPUdJbD3Fgmo9S4ZxPXdpeD2IR2Y9zGlZPaq9Wz15ulA9fQFOPbBSRD0lVTs9TtA7PQDgTT0abIA9xg2QPRDxez3XwUo9o8FFPXZOVz10h1w9oEFmPVOsdz1j7m89SclrPf6lcT37S3I9kmBrPYVoZj0l50098qBYPb5NWz0CLlE9VC9QPQn6TD3wXFs9RoJEPT9oOj0wQzM9PzI4PXp/Pj15cGY9xRtjPTP8Oz3sjh09xKQdPV3ZIj2e6Cc9p3cjPXloOD3pzRQ9vIkWPTcZHT2XmyA9XqUpPYQ4Fz1+qQ49OFIHPUI4BD229AM9OBz6PHHICD2mKQw90vvvPKim7jxwWfQ8+fzkPP7d6Tzcs+48NuTnPKQb0zxTPtE8f2HVPF5UyTxV3L08ec7APKelxzxlV8o8pE/cPBqU5TyPBeY8BojiPDpJxjxqlco8hlTnPDML7Ty6seQ8XDjrPAxv/Tyg8wg9lTcJPXgoBT0BLg49+5sMPYfr7zy45/Q8jUz8PHjlAD3/7uQ8dafvPF/z7Dw4Muc8ldXiPI323zwLlAQ9JD0JPdXMCT24Oxk9MMQcPShbGj2kggo9AhcEPeEd+zxFv+E8XRLaPEJH7DzUvhk9sMZDPb3bWz0Sh3I9y/RrPfEPWj1C6UY9WX5CPdCTQj0Xsy895csgPSo7Gz1f9Bw9ufUjPa69Oj2Feko9JdxMPT3HXj2Icm890JFgPUiFVT3lQ3M9vwuEPch+gj0BzHQ9iN1dPU8TWz3eYlU99wtxPYdegz3pzZo9BE6JPXZqeT0uIGA9OtNhPeBfZD0F1oI99LWBPXXkhj3I/oo9rSuQPb5Qlj216649poyePVh9iz2SJag9wLW0PbmyrT2+zqE95ESiPf1oqz1mg649DNayPSkXyj25bs09IVu/PfLepT35TKE9Eu+bPSV2lz2KI5c9abyRPR5Agj2+EIY9qxyQPU7FnD2bFp097WWSPTv8kD1uq5w9J9KYPb8slz188qE9pcupPfSDuj0YRLg9fPi5PUdVvT1jPbk9r7SxPachpT2dJ6Q9MNikPc92lz30jJc9/Y+SPU4tiT0yBYs9KoyOPbgVjj3mQoY91g+GPdoqhD2ZjYA9N22FPQJ9jD3GFIU9AfiGPRxQkT2oipQ9wtiMPSlWij0lnZE9gQaQPVzkjz1/i5M9GRGbPYhImD1yppQ9YTCQPR8OkT3OnZM90fadPWPWmD2+uJQ9rtKXPV88lz0G9Zs9XeOtPWbpqD13i6899beuPQhCrz3ck5g9ACCKPYueiT0zEIw9LFeFPSMlgj235oE97ph4PdI2gD3C+oA9GUl9PUmRez0unIg9+FKMParUjD263Yo9CwCSPXsplD338ZI9SZCaPRKuiT3GIoI9/9aCPQiggD2l/ms9OZFzPVypfT0LH3g9XSxzPZjzbj0cPWQ9aadkPcFKbz2F9X09qn6BPUBjhD1jjoY9XQCQPafLkD1+q4k93TSJPb6TjT3eiI49XduVPXXqmD01v4o9SLmDPbbtiT22cYc98T5yPa4OgD2hn4A9X/hzPZ0pcz0idnI9Ewl2PevIjD0X75A9NZKaPZrmlD1i7Yk9WfqJPQdQhT1skXs9vV56PR7Eez0gC349op9+PQZEgz2wuYQ9hRhtPYlPcT2C4Gs9kg9dPeA3Rj3n1kg9IYFRPfLVaD2rgHc9941xPaToaj1MYGs9GwpfPf1tRj0sWj89mBdGPc39Tj3D4GA9t9xgPdl1ST2WsDo9g/o8ParQLz1ZLio9u0NAPWyHUD3QakU9HRRBPfEKMj37AC494BkxPQihOz1HXzU9NjU3PUS2OD3On0M9vklKPVRSRj0M2Sc9cb0aPZVNFT1YuCQ9XP9EPW18Vj20OFU92Eg0PZIWLT1umy09ymwSPfZ4Ez104BI9ZYsUPf5yFz3ItB49hb4hPRMiLD1m2Do9HJY5PRw2Lj0jWzA94sJDPes7VD2SDXQ9dF+MPStDoj3L7dA9tNsrPv/4Kj4mjyc+QMQqPjKwIz591yA+bxUVPnkpHD7qTik+AMomPvOaKj6wWyk+o5ogPqdHMj7dKiU+4vwhPoAjHT7bmiI+X6klPvzIJz4kWR4+6MsgPvwVDT7zpgo+2eUMPgXzDD7QQB8+9y5APpRNPD5qNyE+ai4rPiKuMj6kYDM+ERE7Pl3+Jz6sBS4+aWIsPk1EMD5LaEs+evBlPkcPcz4jtEo+5KM9PjWrSj75WVc+4vBQPuNhLT4rmjI+3tM1PhQLMz5z+DI+dIInPtkKKz6JzR8+H2A1PvlxRD5Fq0Y+pEwXPkYJMT6w5EE+koxOPqSKST5IyCo+nb8jPgxxKj7Q3y4+Z2YuPqG0JT7ecTI+gg4yPgTbHj6guCk+nr4yPhdAMj55Tic+CjsvPh0vOT4ZWjQ+XiQhPgVlGT5L0xE+fyFfPnZuMz7Q5Rw+tMQrPvHSND7L6zw+fHU0PuUuJz61nB8+nLckPlKIKT5qVjY+bF41Pud9RD793Uc+3gs4PujdRT5oSko+jNI9PqpaPz6P+Tw+uc4yPnbiKz5FMCs+7OQuPppxNz5gSTQ+v8FAPnZeSD5H4UU+tHwuPm8hKD6P8SQ+hYwePtLjHz7knh8+ej4qPkf2Qj6LID0+55oxPqRjLj4qrSo+zyYwPvyaPz4tcEE+5Bk1PpzbLT6B6i4+siAzPpyOMD49Ay0+0novPlvsOz5qcSo+3f0uPnmBKz4ZiDQ+z59EPrg7MT7rQiU+QVMvPksRMj4A1C0+lqQbPuQ9Mz7G8jM+MTo3Pl/BOD5LDy8+PkEsPtzcNT6MDDA+PdUoPhMsIj4W/RM+YRIUPoj1Nz5xPCg+6J4hPiXrIj67exk+F19wPjf1dD49dUw+ywhPPsXjPz7aQ0Q+wP48PkBUHT4LjSw+sTA6PnaxPj4Hejo+o/EyPmz+Lz74wiw+eGokPsGjJT6X6kI+d09MPuWwKj6/2EM+58dVPvHwVj7xT0I+Ss5GPoEwQj6N2DU++iU3PtQqPj7e8D4+Lj41Po3hJD6zeSs+SoQrPoDeLT75cDA+NfsvPjt7Jz7//hg+wZgWPh3vLT4PGjQ+hlQ1Phi3KD4X6y0+G8I3PiljPT4oEjw+DHsrPk+KQj7P+WE+f4pWPrI7RD75gC0+0LMsPoKGLz6bazU+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1bruD2bQrw9YIK7PX44uj2P7bY9nTSyPdHfnD1lubc9tLS6PShLrj03kLI9wDS3PTQErT1v16M9PyeOPXrfiD297Ig9TJ54PY6MfD3kB5I9aleaPbV9lj3uOZk9w0SWPZdHlj1yW6o9Rk+xPUDpmz0Ir5A9tQ2VPVgfmj0WcpU9/ROYPYe/oT3O76I9QT6xPWwyuT2s6789Ah+7PRr7pz2kVag9fzeyPU2Wrz3KeK89L3OoPfzgoj1M+ps9XGuaPd1hmD3Lx5s9296lPYVlnz3iuJk9ysuYPcuQlD3CVpY9vlaSPYVfgz1uLYU9eRyDPVtCeD07EFY9ddxQPYf4Wj0HWVg9GvxkPfSzdz2XTHk9IE53PThefT1hZGo9CIV3PVYWaj1eQ2A9uEJyPcsTYT14lVs9llNTPav1Vz0l+mc9F2B0PSPkiT0K54I9E9F4PY9Wcz2LsGs9mJViPShFYT1fJ3Y96+VxPc81dz0OcIE9LQeJPUWgeT3tF2A9BpNXPYtuVj1Rn04972BNPbAwYD2W6W09hcl4PdOyej1u52o9Lj5KPSzDRz1jpXA9+hd+PYoPfT0OknQ98L1fPSP8YT0l5m892+JlPaPraT3gFGo9bPdpPWzhZj3U1FU9KXM/PV3NRT2QiE09iStLPXtFRz3Mdzo97OdHPcPnYj2Ksm89eG2APTGEVz3I0iY9fnYHPa5WBD1LUgY9x7gNPVixDz0vBhE95goFPUhLBD2c/wM9bV8OPeG5Gj3FbBE94xEYPWGGHj0VWQY9gwcBPRBdDD2E5iE9TGwRPdw/6zzdY+s8ZHzuPB2r9DwilQQ9u4n2PDhI+DxMhPg8g/nyPHVM3TyHfuw8TQvwPIpJ7TyxsOM8A0fxPOjp+DwUT/w8xjQBPVN98zxxTOA8QVDuPKR27zyuUvQ86zf/PJs5/TzH5v88UNgOPRxoCz2nowM998QHPSaOET1pa/I8TK3gPKhY4zws5fM8oDz+PEuXBj3lUfk8xCX3PAuv8zwDMgM9sgIKPbQ1Bj3/Jxk9z0ciPYHOKD1ncis9VBwkPScuCj2TeOo8tZMQPRI/Ej0CfSI99EE4PRcXXj3cpmw9xgx2PWKTaj2fm1s9t/1DPQgvND1thTA9tn4fPcboJD1PZDA92a8wPaFbOT0aE0U9lvM9PUIsYD0PWHQ9/o+DPRPzcj1Lwmk9hU6EPeYFdT2VNWo98JV8Pe6rfD3Bqnk9ZQ2DPbBFkj193JU9GjuiPR47jz21wnA9yspePfBMYj1fTXs9+z+QPVkclT0Ayo89YyqNPYz5lz2J7r89LE/FPePzkz15hJU9FSeqPTEpsD3ANbA9FnewPTxytz2l1809sHDAPSqqwj0f+Oo9x4zwPder2j3C5609XBStPXklqD1zbpc9PIWdPZkwnj3wX5I94xGPPYOVjz0UXok9aeGJPVhyjD0wmpQ9Y4+cPep3oD2GYq89C1K/PSmavT350rQ9AG2rPVHlqD1+47Q9sPq1PSdUqz3Ebac9Ex64PaYkuT2GXKk9oTmiPcWgmz3iEpM9enyVPVzuiD3gqZE9fEGRPWFNiT0PmoU983WBPXk2cD3YxF49mf9xPcsegj3vE4Y95RaLPV2LjT1UgJE9nMOTPXGHlD3eEJI9ykGNPbBtnD2QPJM9MieMPWUZij3NEYo9BteQPVlDlj2Vspo9Jj+cPZh/oD3qnKg9u+C3PU9msz1Z66o9JheoPRLGmj3px5I9A86PPdakhT2sKIw93s+NPez+ij1ft4w9UI+GPdk/ij08RIk9PbuKPe2biz1dYYc9WqaGPXyDkT31M4g9wk9zPdmxaj2YoHc90pd6PTjniT1LXIM9Rvd6PQPsfj03fYA9BQqAPYzXdT3OSHc9FwxxPQOjYz1zPWQ9ezJkPfonaD1c5IQ9+g+KPcMCij2K9nk9e65zPe73bT0Ux3s9QSWEPaK9iz0lyZM9AeCUPRiQlD2vDIE9YeNsPTh1hD2osos9JbuIPUtWhT2MQYM9ncWCPbmrdT1pR349CVKJPWjFjT3LCI490U6DPQjUiT2QeI09hPaIPY1Hhj2Ey4Q995GGPR9zgD1+64A9KW6GPb6dhT1q2HY91cJ5PZDggD3XQV097+NYPanuVz2s+VQ95ipNPcYTUz3oQmQ9VFptPWjLWT2PuFA98SA7Pf6ZOj0/tUE95rBSPbalYD1bqHA9pr+APUPqVz2M7jc94HQnPXU0KD1lzCk9Bf0tPbWGOT0go0I9wHBNPbksUD3wQEY97elFPVThPD1/KSo9PSArPQKYQj2zBEk9CvxCPUGsOT2D6zw9VxMwPQ3XMj17UjI9hzpDPc2iYj1WWVM9b2YqPcV4IT1+3CM9BHAcPYBIGT2jzRw9GEAkPe+WHz2IICI9CUwkPXeYLj0x2j091Uk5PV3DJz3vlTg91zJAPVpUWT0vV2Q9VE2SPZuLhz3qA109fZBjPVeD1j3WIDY+c4wsPmoMMj5UvB8++Q0bPmIkHD6OHCI+M6AhPvkPET7GfhE+GfQhPnpNIz7vHTE+jRYkPi38IT5CCxw+6hEcPhRSID6DvSU+Gd0dPt5/Ez4wRws+EcIJPiQODj6b/hQ+EBAhPttAPz6xHyg+IL0PPqw5JD5GrTU+j60+PhA9Qj7VxjY+mb4vPv3END68ojM+wzU7Pjo7Yz4Q0ow+V8NVPllFVj7vA4M+7o2LPlZIXD52rTw+7vdsPkRqlD5dkIc+1NhbPtZgXD6ZT1A+m+xdPvxaVj42y10+X6JfPi1HMT4D4yI+BnU7PoNvOz7CMTE+GgImPmUQLj7Gcyk+rEYlPi7cJj4K7iY+xDZIPoNOVD7VIyQ+QI4rPtqILT5/bCY+8zMlPiuUMT7tPi8+EporPp1WGT7xJRI+WdIrPtn7PD6GKi4+kaktPtHNJz4qxyI+UpIiPiM/Kj6sqyY+7ucoPqMRKj7LVR4+eDAaPh9BGz5tnCg+TaIuPqYMND6l5zo+tWE7PtJyOD4vzko+VcRKPrxjPz7h4DU+EtYzPghkMD4LRjI+BiAuPoFjKj4A2zM+YGtNPpW2Rz4tQTA+Uu0nPqL8LT75gSU+NscfPhzKIz43FSs+y60rPhbNND5g0zA+M6scPg7TID500C4++Qw0Pn7eMD4wDDQ+x3krPoOpLz5N4zc+KWs8PqRRPz6Bokw+JAItPpcrKz6luig+HjY+Pi4hOT4IaCw+3YI5Po2tPD4LHTU+ngYoPseiLj7Vkzg+QXYqPjC1MD42uzg+efNCPr7wTD5E8Ts+JyAuPv9HOz6jgy0+sm0oPq04Nz4eVTg+HScxPo1MKj5FAzA+Rcs0PnN5LD55kyk+nn8xPqYXOj42eDs+g+I7Pq4+Rz76AC4+sy0lPoSaKj7qrzQ+VrQpPvSSHz5faBo+4rEoPv8EMD5VaC0+COIiPmD/OT4Yg0o+Y8I5Pt0vPj7AbEs+YVZNPmNhNT6uYUU+MPxYPo2gVT4fu0Y+jZdGPqdlQT6qwkE+tS8+PtMsND7lNDg+Nfg5PnlHLT6juiQ+bPEdPvprIT5x+xc+3loUPhEUEj6XeBY+iQ4bPlm2ST4nnlY+hHA/PqdRMD5ImCo+rDA0PoKhLT7AVDA+Nqo6PrG0Nz57AzM+xpU4PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+RpNs9B8jAPVYNtz0BOL49BLrCPSBntT3Pc6k9eX+6Pb2dyj28/8g9lu3HPTmmvD3ojq09GEWiPa7gjT3ueYc9xQKGPZeMhD3+roI9dpyJPdjOlT2gMpQ9CC6cPYmgrj0EwbU9X/O1PX0Ttz2gvak93iWoPZYOqT2X7ak9WBChPZbzoD1VFqQ9jLmkPSfJpD0dzJ09joqXPVpfrD0+y7g9REO1PcAVtT1bgbw9MKfDPSCCtT2eFak9DGKqPbxFsj37r6w9FBevPduTpD19nJY9uWSKPT8bij0XDIc9LymBPZmzgD39lHI9E6daPcMMRz2GbEc9OyhTPad5YD0Dimg9d5ltPR9fcz28BnA9qH5nPVZSaj21t4M9crZ8PYAHWz067lg9TtJaPVUoXD3JMVI9V2JTPeRGWz3jv2A9DmlrPenAYj2imWY9vNZrPVP0dj1JunE99l5ePcD2YD2PUGw9ZVZlPdMGfz1/fIc97kSJPU4Rij26cXI9tshYPX8XUT2zSls9vqVtPaI4bD2f3lw9uatMPaTxbj3pZH89aFN7PT/nZj1Ar1c9Z11iPWDMWD326Vc9aK5ePZyqWT3VX2c9OmmFPWfChD01MHk9rC5yPbxtez2VMX099tFkPXbHUz2+Mj49udVMPTgNSz0A4GA9BOhdPYP/YT18qXY9+txjPc6RVD2iFDI9kuwOPeiU2DxVVN888w31PEFc+TxBqfo8+0kGPQICCj30XBg9fkwJPUbABD2MIQ49ciIPPc67Ez3AIQs9TVDyPLoh7jxqDwk96gcPPX5yAT2oZ/g8q9sIPeYpCD21q/481AX6PJwaAD0eP/g8ijXqPCRQAz2SMwk9XlMTPSIDCD3CdgE9YwTwPD+oAD32m/08IFcBPakuCD0mrAQ90pr0PCYU0TzKVdo8GLb2PDC9/TxEZvk8z/T8PHyUCz2C8wQ9l8sCPTevAz0PBgY9UQgFPZ4UBD1PVAY9MV0KPd3VEj02wBY9dpIKPYa4FT191Bc9dSsVPaYJGz1hiBY9gCkePc4SLT0Mxjg9hNs2PeX/Hj1mpQ092OcIPZgYJT0a/D09LWpCPdz6Pj3ki0o9STh2PfU4gD1xEmo9ZWhqPX5dXz2eb0g9wsg3PRHGKz0fzCk9RQcrPdEoMj2JVCo9Q1IlPb1qQz0QTYA95UiKPYncgD0zZFU9AaVfPT0Ofz2KVoA96cKAPfrAij0SRII9PsqAPbvNjD1ZhJo9nySfPQEInz2fAYs9r/dwPZRDTD2aiV89w6+NPeShlD2V8ZM9hdGPPSjPlT0zTK09KtbBPUWJwj216aQ9r1WiPdFdoT2WqKA9whG/PQmEyz3ZbNc9BVDVPZZb1j2w7uQ9joXbPW9nyj1vNsc92Qq/PStTuj0EtLc9VM+kPYE9mT15ZJQ9ng2DPQPugj03wJM97UKSPXiQlD2ceJg93SahPd4BqD0QiKI9JSylPVIbuT3DMLU97wOyPeuzqT2tcLM9z6y3PcILuD30Lrs9/RXEPbojvz2t5b09Nc7CPcf8qz2UhqI9MA2XPSp1iD3w64U98M+EPZ91hj2omn49EiNuPQ3obj0wAoY9aQeGPTUKeD2ne349OAqIPSkcjj3RnYk9CkGHPYsChz2OAIM9Es+APRUGiT0XDZA9Z1CCPWifgT2NQYs9e4KUPSLKlT1SF6A9uGGgPRBCmz26X5g9PfCWPaWmoj3Uwp89UBOZPciNkj18/Yk9fuCIPf9yjD2m5Y8980CPPS+Ilz2/2JY9dW2TPQbYlT2tXI89LT6GPcvAfz3zKII9TTF6PVQ/ej0+IHY9h81zPYb/Yj00GWo9NsuAPRQEgz2SIn89iu9tPYSqgD2RP5A9AJCLPbQKiD0kJHA9/yhzPVO2gD0gmIc9gw1/PamUgT1jSIM9DFePPTt+fz3+K249FYBkPaPvbT2QPXI9ltOAPdKohT1+S4I9epdzPWKSgT10uYA9t6RuPSfxdD1+PIU9jN2GPW/Phj12NYc9KTeKPQvtiT00BIQ95bKAPZTriT3Lu4c9X5d9PVWdbT00uYE9L3+JPaiqhj20MYk9NlKIPf5UiD0Z9oE91J52Pa7aeD1Go2097OJmPR1MYD0cKm891HBnPcRVXD2xU2c9S8BwPWOidz01IFM9PctCPfqOQD28Fjs9DXZHPU/dUz1mpFg9fbRVPRw4Wz3QKEo9rhxFPUzROD0P2So92vUjPUORKj32/Cs9OIYpPV5fLj3mVUM9vxpFPSW8Qz1e0EY990E/PeapMT3gvjY90FY5PQ//NT3aDDA9GS8sPXhMKT3BXS89IlY7PTMhWD0deFo9gbRWPcRVWj1O40c9yTQzPeRrIT26IyE9fKsvPYddMj1ClS09gIc5PSb2Nj07HTg9r+g+PfC2Pj2gAzM9loFNPepQaT0KWkA9ZuQyPX2BPj1H6kM9n2hnPXMcoT1NgLA9ouKxPZxo3D1yW/o9RGMmPvcKJT7vGxw+DKQZPv7LDT503Aw+OrgVPl6sJD6E9xs+QJkaPkpvGD42xxw+PzYmPvhLKD5F7SY+AXkhPi8BHz79CiE+cTAlPkHuJD4g8Rs+sD8HPoeRGT6NdRc+R5AUPgv+NT6Tl1Y+d6xCPiF3Tz6ntT8+cfUvPmVQNj5quEw+89ZnPtlVaD7u70k+tgA9Prg1JT4ngjg++INZPnKaST7SW0s+B+VKPtWxKT74Jyg+m3RBPnYeQD5zKU8+ino/PlyxPT4oHlk+aA95PumIcj6UAmw+wpNhPlBSfT75SkU+s1shPkNSKT5vBSc+YCQiPj0TKD7n1S4+R1szPqN8Lz6tjDM+GistPu/sMz769lE+BiE0Pn7KMT6KfjY+zBkzPpjUID45kTw+loUvPhd5Ez7NnCE+JvkzPs5hOD5TLSM+TP0hPha7Kj4sNUA+E/RkPlqTbj4tAE8+fUA1PiGNJT7K8So+iUYtPiHzLD5TYCA+yc4kPhDJJT48yC4+S1A2PtLHQD7vz0M+ZHw6PoP1Mz53Vig+wTciPpqeKj5gSi0+K90yPn/7Lj7jgSk+0vAoPo0RPj51NTw+9BkzPrQrMT7Nvzs+RBkzPqRYKj4+pio+cOcsPuLOLD4O5Co+1Ig2PrNPIz4KICU+fagmPs30HD5HCR8+m84wPgqIRz7rtEU+9+U8Pj4xKT7qbTc+WKlMPoGpRz6UZEg+c543PurUQT6zEEE+ooQpPn9PJT7mPRs+i2IYPlTKIz56rjE+/g86PkQ1PT53vEQ+Y0ZNPrCXVz4hE1g+/FBGPutFQD5AND8+/fs6PhcUOj5ShUI+O0xGPjoYQj5huEU+D+5DPkJWRj5Vxzw+GSw7PoUaOT4/ojg+5wc4Pn7FPj7VMEg+99QtPnH0HD5+8jw+u29KPmTHSD5eNUA+rpA4Puq/LD5hHTU+OVRDPu9mRT7quSw+gHc/PuGmQj4kfU0+cUNFPlHNQD5e1zs+OVtGPqpJOD4sxz8+5TRBPi8RQj7rdEg+54YrPgrAHj7B/hc+YHAXPiqKGD71sB8+3G0pPoprJj4dlB8+Y4IUPm3bFT52oBM+IaIMPp7TGj4tLzc+a+UtPvBqPz6woT8+RxwyPuJkPT4kwi4+QSQjPj5gIz6v7yQ+l2srPh92Lj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/QQfNPYOGpD3plaQ9/8+zPXDKuD1JwbI9CFmlPYFdpD2R4rA92qyuPTYhrD1L6qs9MnSjPTcVoD3uWYY9FspyPY8BhT30H4c9AXKNPRybkD1hA5Y9RS2VPUrWnT0S/qE9s7KsPTuttj0evsU9RGu8PREKrD3QV6Q91Z6bPa7kkT0N9ZY9d1OiPQaMlT2kwo89XF+NPb/PnD1TH7M940jEPbtFvj2stLs9WGW9PYecuD2eEqQ9vTujParzrD1Wxqc9M/6uPV7lpT2OQ5g91SKSPSeOiT0Z5IA9X0OBPQUKgT23YYA9bn9zPVMdcT0Yvmg94W5kPcSHYz3EXXE9IgmBPRv4gT0oDmc9omNePa7CZz0czWw94ElrPVi2fz1GRYE9qX+BPTE2ez3aOGk9zRxvPawGfz2j33s9onJxPas2fD0asXA9YntsPdt8cD270Xs9e1ptPXPNYj0HGGI9kwpdPfggYD1AQHM95mFqPWL7ZT3+TmE9wj1SPf9zWD1V3lM9iZhZPUTzYD2w61w9TJdRPTlfWj0NoGk9t4hsPfXbbj3lc3E993RsPZBLdT0z2ns9WfFtPcVXYD0lZVE96QZXPfjxbj2NJnk9mnp9PWdadD0olW09ynxpPYtyWT2SYlM9eGJbPfV9eT2MLoE9pLdgPfM0Tz2sXl49CPVZPQU5Lj1CsiE9N0YXPTFK/TwtG/88mocJPZqJCD2B0wY9/SAAPWyzCD1Zsgg9etcIPYEjAz0wdO88Ln3yPOhC/zxbvPw8un/vPOQFAD169v88QmoEPTUmBj2a9v48h30EPUHLDT1rBwo9kZwHPawmAD3JjfM8dXfdPPv+AT2hDQU9sw8IPTKZCj332wM9+hP8PJiXAT3zMwk9vS4HPbEfAz1ZWfc88TTqPAcfBT0hIwg99FYIPUWzAT11wvY87Ir+PGv3DT1YNhs9vakQPcTDCj3aZQg912wNPbQ2Hz2Glxc9hlIUPcHaHD1TtSY9U0QWPUKqHj04LD099z8sPVXlHj0eiRM9ZUoSPRFGFj3wyS09TBY/PRoxQD1CVDI9ugsmPTjiRT1tWFM9+pdYPSF1Uj3Ff1A9gf9LPc6vVz0CPV89TA5OPSgPRz10wEs9kXhBPV/VMj0DLCo9SRwsPZbfLD0SBSc90TodPe4ZLz2xdVc9luCBPf8Waj08xVY9b9VqPdaagT3XxoI9XPKCPTk2hD3gDYQ9qzN/PWgvcz0EsIQ9QiaXPUIlmz2eNpo9bVyNPdW9XD0+9lk9ZDODPVfqiz1TkJA9Nd2XPV5nmj2VKKs9VkDAPRbssz1yoaI91aqgPReIoT2ZWKU9QGeyPU/fxj1eEMg9SL/HPWeRzD2xQdo9N1HaPW6BzD2IPtg9/M3WPcVAyj1MM7497B2sPd7ElT1+O4o9xNeFPb3Ngz1xnpI9UY2RPXr5nj1AlbA9Mhy5PSw7tD2LNao9YTCrPW8KtD09bLk9csWzPT1Jvj3C0LQ97sSxPRkJrT2Xgqw9qP2oPVCyqj0YFK09bTK5PYjfuD2kyaU9juClParEoD3fSZU9oquYPYG0lD38BIc9zgyBPb9zfT3CeIc94WGrPQcspj3ZOIg9k7+GPWQOiT1/MIo9J2KLPSZEeD0t+349GJaBPRcehD1uZ389Ld+OPdJilT1RaYs9o/WPPRd7lT0t/p09elClPUNamT1sKZc9QaaSPUi0jz07gZA9qv6WPUB+oD2v9qQ9ZrOiPRG7oj3yyaI9s4+ePbKrnD3NbaM9BqmgPTs9oD0o56E9vvGdPdxEiz0RJIE9DT56PbdweT1TF3s9KRJ/PdcLaT2SYG89yPaHPYtQkj0DMZE9G8mFPQUKhz3XRIY9teuGPeUVgT2rvHo9Ked3PRiwfz3oqH89ftiHPZiRhz09/4c9iUiGPa5AdT3B1W49P7R8Pc9SdD1bSYA9p999PTeagT2Tj4s9RNOSPTlKjz1pQ4g9ZQGHPZIcij1O0449lsCPPQ/+jD2I34c9++GDPZtTiD0ldok9mQaEPdrzdj2eNYE9BkqAPW9HgD1k7IM9dBSMPZ8pkj3ov5I9QXaNPQMlkz37k5c9+2OMPUdpfj20+og9m8qOPUxqhz26yIc9xOWCPbVtYj3rQ1k97EhnPWt1az3GKmA9OgdMPZgYTD3quk49ad1PPQA8UT0TaE09s2NFPaS4UD3uc2U93EdLPUy1Oz356Ck96O4kPeUEKj2i3i89Ob43PaXQPT3UDjk9O7NFPc4RUz3z8WE9QMZbPSkUUz3suVc99w9YPYwJPD02YTs9N7kzPTc+ND0hGDk9tTc9PWo+NT3Lrjg97Ao6PURQKz3oryU9MwUiPVtKID2fVCk9Et8sPX+RMj2n3TU9HrM7Pe5cOD3BFEA9xjdIPYgZRD3BBUk9VldDPQVBRj0OklM9Ik9IPbzIPj16NDc9Lh41PbSdQT3Hb4Y9jdWrPS8EzT335xE+4RwZPqHSIz4WNR0+GX8iPglLFD5HJg4+xIEQPofDHT6X8iM+Vd0bPsuWJT7YRBs+lS4UPpYVFD7+YyU+iA0mPrxfHj5wiRY+yDgYPgjKFz4B9BI+RcsWPiahFD53lRQ+WCUWPjkMFz4M3Dc+n2FHPrZKPT54YUM+XF8yPq2BMz4nfEY+fGBSPrb0KT6iSBc+iD8dPlvnGz7RFSI+c1M2Pt4+ND5TFVE+Q9d8PvAjgD7aUkg+VNckPvreMD4H6SM+oCpAPrv6UD4ApFs+lLROPgpQWj7C/2U+AapePraQUz7ZbYA+KeB5PjGgND5nADw+8ecyPlpGMD4nUzI+NTgrPv94KT4cuDY+KMlBPs8hNz472zA+lkcvPtbNMz4OoDA+u90sPrtZOT5Vyz8+ZvA/PgYzNz6T3Sw+S8MyPhRTKD6ONic+eVoYPlsEGT7B4Ck+JQZAPoaAVz68V2A+HwBNPrlVNz6HtzI+oZwoPndELz6MciI+M2YgPrh5KD40YyM+lvAiPo/5KT5/gCc+9Q4sPqZ2Oz6rPi8+DKcmPmQxJz7zvSU+6UMlPsxbJz6dySs+y8YrPjm6LT4HRi4+3PorPoRKLz7N2T4+NcA2PujyPT5umD4+GoU2Pp56LD6OmCw+324lPvpgNj4R8Dg+gS8rPjTeIT7vfxo+SJUhPm6IIj7xyzE+fbM3PhneND5WPDc+TXM8PsicQD5JUzE++FkpPpPvJj4pvkw+fupJPgwQND4Dvi8+vx4uPiIpJT5AAh8+cRohPpKjPz6nyUY+51E3PvqfPD6+BUc+6yhQPlfQPD7HFDs+lXY6PkWiNz49sjg++So3PigKPj40Czs+otowPjDKIz50kyA+gJg2Pqd/MD61fkA+TXM8PikhNz5hUTE+GK1DPoClMz7hjS0+12ZWPjphRT5JATQ+JPAvPvitNT5E+jA+yF0wPku0MT577TA+KHA1PrdEMz66yjw+2dBMPh9UNj6HISk+5k8oPjewOT798Tw+m7pGPm0GST6AqEA+ods3Pri5Lz7MmCc+SjggPj63Dj6d/SE+sB4pPrltNT6gozM+FHkkPgQIDT6lbB8+HF0iPl3dKj4rZTs+vDVNPvSFPj62n0k+v8I/PhJUIj4aNEg+pWpIPpMHIz56IxQ+jM8XPi7kID5aoB4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4vzrD0g3KE9kNqhPVjbpj37CLQ9RYK5PRJ2rj3sC6Y94eSbPYKpjz3bGZY9x32cPZ5jmj0qN409k3Z3Pc8jgT2w54k9n1yIPRU3iT2164c9H7uOPUu2iT2GN4091tOWPRqCnj2Te7Y94My5PUbAqT3F6qs9WgSdPXgfmj0nvZU9X1CZPXBinz2AEZQ9uX2WPad4mT0dAak942y7PTdvwT1qCMI98qrEPYe0wT3lbbY9WqumPQ5HoD2VvJ09hkSLPd0Piz3T/YU9GGCNPWIYoz1Tw5A9vp+APd8yfD0Ro3c9JCJzPdyFdD3NC2Y9MCN5PfWDfT1AtH09fU59PRyGgT3G04c98Ip7PVoOcz3eGXA9/MB6Padphj1OfoE9kAGDPQFufD1kM3g9NHVzPUy3fT1hSoU9zCCWPctDjj0LwYQ9XH+CPXnYfj3nSGU9O0FjPSQiaT2N7XA99PlsPapIYD21Z4E91HJ5PTyrUj0EzkY993RHPQieTj1/oFs9O31dPcGmYT3hLWY9/z5vPUYJXT0b5FA94+1QPSkcVz1cdWA994lkPWRXgD37oH49T+d0PT4baz2V1GE9kH1gPdx0az2mP309KTGCPabEcj1WTHI9eRFzPSiQcT3J5lY9d+VkPRTKfD152HM9PL5tPSB7Yz3TAEg9EfY4Pbz1Kj14TB09r8QlPZ4WKz3bWCQ9xkERPUVbBD0sOgM9s9QSPWbKFT3V/xo9Mg4TPdBQDj1+uRA94lgBPa4QAz2+vg09jQAFPW0x+TzfKwA9wQEKPbcbDz0PaQo9FssEPXvABj1xbf48tBkRPfr2Cz30mAs9RhACPYtw8jxvSf0804X6PGAh+Dz73fk82oj9PO8K/TxMDhA9Z0kYPRykDj108g09s+kGPQdF9jzXiN084BoVPdFOKD2JGhU9oZ0EPSZMCj2BcRk9O8EIPV0jCT1lWQ89NGgdPbcxIT3M0B89thQUPVBcFz1dZCA9JD8dPRa9Cj3CqBE9Zz8iPfTyID3Fjhw9W6wTPTo1Cz0IQyA9H94tPZH0Nj2U0zU9LEQ1PVSfMT1BOUU9fNlXPR1fZz0LVnE9yfp0PX1SZD1bIVM9fspYPUqfSD3DXjw9RvY3PS4ZKz3Hri49pRsrPe6eMD2CXC89JnEnPYRkIT27WDc9QSpkPcxVeD19NGE9rSNbPct8Yz2tK289D2xyPQCPeT1RVoY9qxCKPbZfiT3TQoE9+32MPaU+kT3nwYg9r3hkPS5LWD2BbVY9N6pvPZ0jhj3RuYk9J5OFPUl1hz3tPZc9PWiuPbXswT2VXLY93lShPeVFoj0KrLM93hHPPcGw0z2FK8w9bAfPPbiKyD20O8E9VdvAPc/txz1WG78989y5PQO0xz0Aeck9lDvCPb03sD08spM9B8+JPRZKiD1rxI89XbeZPWPclz2M+Z89cJKrPdaTtD21zLY9fW+1Pe2Zqz01Dr09DJO2PbqmrT23GK89iW6wPStkvD1esr4920OwPW3xtT3SvLY9yk+pPYqHpz341aw9u0ujPSDJkz3KRI89I0GVPTVVoj1W8aA9dZmYPZ1clD3Q1JQ9ViKTPYWEoT0Wh509LDCMPb+ShD2vDoI9xq6GPV4Oiz3w/oI9dsSGPWMCjT3D7pE9bzaPPekPjz0lAog9PvmCPXtKhz0Pn4o92tqLPcI3hD0AG4c9IweMPfj5jD1WsYk9TbqIPfOKlz2Bi6g9OhazPUyksj3SeJ89ZHOZPQWZlj1UnJM9iDCMPZr/jD1PsIo9IFyKPYh+gD0xxnI9YuxwPfh4cT2dMng9WK5/PRlofz2/mHE9A2t/PUq5ij1w0Ic9ZaSHPR7qhz2NWoo9lIaIPf5vgz3/M4o9a++LPfdCiz0UPYw9Bk+OPb8Aij0WooM92hF4PUJmgT1xRYc9W8WFPQ/FfD1zV4A92FyOPc2RmT0WXJk9O7SPPbRyhj0Li4s92aaMPbcTij2gdos9RZOLPfUGiz0pC4c9TxqCPUZ1hz1YGYo9yrCJPYwOhD2Y4JY9H72NPe7Zfj06wns9wGyBPWsIkT1HKJY9eSaTPWgwkD3Qjow9KiCVPdBnlT29N4Q9LaiNPTaEkz3wY4k9B0mAPTS+dT08l2c9Ci9iPacpWj3fgVo96p5hPbxzUz12tjw969Y+PW9tPz3avjM9gNQ6PcSWPz0OwlI97ptoPW8QWD0PEk89GMpJPckjPj1qFEU9PZhHPWO2TT3JqU89LsFLPbfCYD0YRmU98kVePY5PVT1Eg089ClNOPYB1RD2hZTA9YyUxPeXtMD0hGS89fcMuPV/mOj0Z9jo9cCM4PfcoMz1EaBw9NDgaPY7FIz2ntiw99O81Pb8rOz3zQDU98ussPbPFLT1vDDQ9vr1APZC9Pz0hujU9vZo1PWjHNj2ifD89CypIPaNqRT3tA0k9jxJOPeKUUD2zqmE9cfSBPUyyhz2KSJ89/mEGPhL/HD4jZDU+RmYtPrbvJT6a0Bc+HMQOPq8sCz7MLRI+TFsePm7yJD6viCg+hMMgPg2NEz505BM++fYYPibKGD6uuRk+91YWPhFrET5JIRM+oSsRPgRzDz6YUhY+Yb4ZPpYPHz67chs+chIUPpc6JT69rzg+Wu5CPkRNMD5VyDM+p6c4Pp+qLz6JUCI+JowVPkhNHD6r5Sw+IjNFPhVyfD4AoFk+orI1PgCYOj6OSjw+P7UtPrdgIz4TVCA+aEYbPqwuMj41HDo+hRxBPhM6ST6J0VY+aiJMPk8tRD6U4Ds+kXs9Ppc7Oj6W/yo+oyk5Pv/QJz4/u0Q+NVdXPioaQT70GCs++KYxPoTiTD5GmFA+tfpMPsrVNz7tdUo+bnJIPj4ZLT6ZmCQ+tIAmPmPuKz7E/TY+LzcxPn1nLj5/qB0+YmkXPkyTJD7+Ax8+tAIgPiUPMT6AYCY+D+MiPvhpJj7UMzQ+r8E7PsCGOT4eBjU+NcIsPrAtLj4CODU+UvoyPhoKLT4qWS0+EBo9Pu64PD421jQ+EN0uPsbjKD5qgjI+ajYtPq9ZKT7jRyY+/f0iPoapGj5oayc+xCs2PmhuLz4OJzA+UMk8Phv1Sj43iEQ+cTUmPtpKIj5XXSI+cSIgPiD2HD5e/iQ+EDgvPmvbNz7NATQ+J5QkPq0xID7tRyA+5iAqPiVkJD6f9x8+W1YaPqv5MD6gXjY+/IxDPkgSUD5WDDs+E5Q6PgLYSz5R/js+HzApPkGkIT6f4yA+wHgpPsCdJj7P5So+Mw08PtLCOj5ClDs+L849PjnuNz5WcTY+vlswPornLz7boyw+HVk1PpO0ND6MBy0+d6kuPuk+Jz7OPh4+eEMbPu21PD5WdB8+hiwqPp90LT4GATQ+o7A2Pi5nKj4fPzc+u3w+Pu70Rj5H0EQ+oKpBPrwWMj5FDzc+0swhPh6qHj4wOCE+rDIiPjgBLD6ztjE+srgzPtZMJD7uDSY+u/MqPgJYJz6s6CM+iZYmPlP7KT6N3jA+yj8qPhvhJz6mByU+yIwsPhHkJD7XMCU+GXEuPmrgLD6vsyc+ARgxPhA8Pz705TQ+VW4ePj9CIz6ONzg+jYY8PkqmTz6P8zM+juYfPggVHj6wNyg+68BDPvFcKD5/ng4+eBETPrCfAT6nMwo+KCwWPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0rdqz375Z09Cm+RPQKNlT1Ewpw9+V+kPRTnpT2VTJ49MXaYPceEiT3aIoE9vM6BPePEgz0P84I9ZziBPe/1kT1VsZk9X1mRPZoDlj3VdJc9F2SYPeZIlD1D8449+FiKPX5qjz2WVpQ9MCOmPfFcpD1X85o9c8aXPQWQlj2yT4w9F5COPRAHlj29v5o9GDyePTA4pD3COLY9SiDAPeHNvT28trY9rymmPXrslT0S25M9HC6UPaZzkz3uIJI9B9qMPRQWkj2Pgpc9muKVPRrBlD3Aroo9C9R4PepyfD1X7nk9hhh+PbljgD2a94A9tsaEPVJ7ej1FN3s9BouBPfBPhD2e4oA9yWGBPal7dD0uR3E9Jl6CPezdiD18mos95KqQPXSmiD3ZzYI9TqiAPbgciD1PiIo9XVuGPcCJiz0O0YA9CmNxPRszgj3EHYo9DjdpPVvDZj0GRmc9jDNkPVTxXz2EtFU9S0RfPU5uVT3jVkc9ldlEPQwdRj0okk49dpxmPZmFaz2d+Fg9T8NdPddwYz0zclQ9s+ZKPQOjYz07bXM9wsFqPbRzZj01UV09PjBkPUIjYD3VZWE9owJsPQxIcT24vH89ne6BPRanhj0L3Hk9LmFkPU22Zz2lm3E96X+APcnaiD2je3k9jnVZPRu2RT2W50I9sUo7PYl2Pz32S0I9/3E0PVeNRT2RaUA9Xw43PcjuIT1HSww9rg0PPbkxFz1mEhY9ct4NPYkqBD2D6Ac97QYJPZTtCj2LSA49N2oGPQg8Az3i2xs9NlYfPR1xIz3jZR89Q/gdPdOqFT1TshU9UJQAPSVlCT3lggo9c+8IPRjpAj1NIQI9kfgNPR9IBD35Jg09B/oKPTwjBT2n4wc9PaQOPejgFT38+gg9Nb4LPVpjBj2VcwI90u0GPX9nCT2+ewY9JiP6PGx7CD11iiM9QiIkPeyMFz2aRSI9CIsdPZUmIj1t9S49lE8sPeT2Hj2ikR4938AiPT3DGj3cmhM9ch8ZPVZOHj3R9iM9TpcjPbchJT37myk9S9QrPcGUND3r60c92uNCPd3WMz2RvzE9JBA/PTU1Tz3MjWo9NQZvPR3LZT0FMEk9VQBAPYuTQz1A6D49fpM6Pc2kOD3Zlyk9HcsoPSjeLT35uTA9YR4zPTRfMz1E8TU9TQdQPcefZT3nDl09uJ5ZPf77aD3B1Ws9DBJkPWcwYD0tT3Q9N2+CPZm5hj3UIog9fnONPVXChz0KHoI9aZeIPRlncD0UUm09zuVxPQpkbD0mXno94414PVzGiz1AWpM9L2edPSghnz0robM91xK1PTlMrj2Gbqc9QLG0PRFbyz1FXc49YT3bPRqI1D1ToMw97yrLPaqnwD1Bvrs9fZi5PQY8uT3HzrU97kmxPeQrrT1zeqc9QVGbPTWElz2e1og9vWyKPYODkz1UGJ49XrikPdZzuD1m3r49zOG/PRWxxD2BoMM9K3S9PYyWtD1BW7g9IaW/PdXFuT2eILM9XY/APbaHtz1wH7k9EEi6PWODrj1U8qc90myfPZoToj2z2JU9bamJPX7Lkj1Tk5g9mhGbPaCnnD3155g9CJqWPS2HoT3DUKY99WeSPctqiD1HEYk9V8qBPWUIgT27ZIc9AyaHPUuoiz1FFJQ9oBCMPQKcjD3VpYo9r7aDPY7cgj2yIoU9sKaHPb01hj0u34Q9VWOYPd1clz2YXZo9PjaePaWhnj3Z5Ko9hkavPcYlwT0I66s9LECTPcx/lD3n2I49iBCGPYVkhT3kDn89NU9nPdLxYT2K/GQ9HzZ9PQYuhT1794A9c6mMPaLKjT12poo9yEx4PQFhdD2IB4A9lKmIPf/giD2jPYk93ZSLPVT8jD2yMos9Hv6KPdd8jT3Tz4w9Br6LPbLhhj1emH89G8CLPdwPkT3X8KI9rAikPezHmj0gK4U9RluAPW5AlT3c2qA9g+OdPdXVjz13Q4Y9QvyDPSUJhT0X4IM9WIeCPTvHgD1uKXo9Ji+KPfRHjD1ia4g9adWHPXgpiT16mYw9o3GZPWSIlj3J8o09EzCQPZYLlT2MHpM9G/GYPW/HlT2KRZg9a82cPRyRkj0YaIU9cFmBPcwdgj2KrIQ9WFd6PZMibD35pWQ91rlhPWCCTj1Cu0g9/GpKPbfeTj3IX1A9sOc6PaDKRD1Is0s9+uRQPRrUXT36iGI9zMJiPThoaD0VN2Q98lhbPXGwWT2zdkI9AQRZPWqNcT3Jd3U9c2Z5PQl8fj2lgmY9sg45PRNYPD3D2Dg9TK0zPXUVNz0jmTY9VF82PXoDPD3vkEM9tu87PSSsMT0x0jQ9KfZBPVr7Tj27MEY9byc0PeLCMj1GxTM9oZE4PTQBOD0FMzU96dotPV6EKz0opy09tb07PSavQj0TNkI93sZKPULLSj3qE0s9vGlOPcigTj0kt009cTtOPU93QT19rUE9cF1KPeXqWz1cglk9RziiPb8dLT7Sckc+cD8+PsKkND4EsCY+QU4cPlIKDT5J+w8+mxcTPqXIGj5d+Ro+/ZIdPmE4IT77Xx0+SCMdPrcWHT56ZiM+UJ0ZPqkfEz7Euh4+iYogPh3yJT55lCU+Hz8ePijMFT5t2uA9y3yAPQscDz04SY49ovQrPhxnNj6GKig+F+4pPsrMKz6OdSc+A9MfPlajED74vxU+aPccPoY/Mz4uaiw+fEchPi9HJz6NPyw+uHwmPiVCID6+ah4+psQePvnYHT4HxR8+YesiPpQGIz7wh00+krw8Pn77KT4TMSI+UnYrPjWuMz4uvzk+XMdEPsWAUD4yEjc+bLdHPkt1Vz6SJTU+Jk4TPkROHz5OsDs+hhFCPnbaQj6Q3Tg+Q+w0Pk/jMj4JbyE+clwzPq0dQD7IT0E+wzYvPrMhKj4DZy8+xLk5PqkqPT47Mjs+tfgsPtE5Lz4IqDo+rYEdPkzPJz7onS0+1fA5PqQZPT5lvjg+QxIpPhCqMT6zmDI+P+4tPsNYLz52PzA+0D8wPghYNj7eoDY+B742PotULD7ZwSc+kfZHPnWkQz7D7Dw+nMQ+Pl7tMz4nex8+JHYlPtYVQD7GlTw+02g5PpYZPD6SFEQ+thlFPnrHQT4CvTc+GtIwPkakKD74ajc+h9I8PolKMD5AETE+dZguPpi2KD4HEiw+4lYWPgi/Hz7TTCY+DXwoPl3ALz6eT0U+FE9CPgL5OT77vj4+mIE1PvL/MD4W/Cs+qIUiPhGjET5OUiY+AQslPgbHLT7iwi4+jsMkPjmkPD4RjS4+Dp0rPnkFMD6uuTY+D0JAPis9RT4FXz8+cEc+PrdpPz7wSUU+IF4uPsO2Kz49eyc+s1gyPlZbPT7wYTo+oXMYPiGaFD7yTik+9V81PuPGOT7mQj8+M7E6PnqmQz7Eck4+H6VEPqzHOz4rrSE+l5QlPlOnID4oUSE+ba0jPkhuLj6zkDU+dLYwPvHzMj5O3zM+P6UxPpi8NT6MZDU+2CYxPkLAMz4MZzY+kfk8Pl9lOT7ZzTU+wG0nPhymJj7WsCY+FOYwPqpQMz4snjA+ivYmPsz6KT74SDQ+vEAmPlgZCz5Q2RU+5X0xPtDpKz4rzTQ+TJ1LPvQ8MT6reTA+tbE2PjtQMz4wxRQ+C0wHPrwtDz7BQAQ+KkALPjYhFT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+NYaA9haWjPYWOlj1OCpI9pUCZPXBZnz3W8qc9WeWnPdPDmz1ov5o982mLPTomiz3LfI49F4qOPd9yjj1jjqI9Xj+sPasVkD3c24k9mnqYPSzSmj3Ul5A9qLKHPX/1kj1CgZ49zbyaPSSYmz1y9pg9zxGTPWm8hz2Iu389ZEaAPaH2hT27CJo9Vy2lPTiuqD38eL09byCzPXH5sT3NRLA9VzypPabIjD2H+YQ95LyDPSc0fz2Qx4A9UVeSPePwoD1JjKE9ZE6OPU7mhD0HK4k9kq2KPQuFiT0mo489yXyKPRfUjz0+7I89lFWFPUpzdD2SIno9iY57PVlRfD0QrX09TVOAPWNZhj07TYE9RYCCPTg2dD1T3XU96piFPf3cjT1vsog96bmIPa62kz2sZZc9mj+RPSbiiD0JUYY9+JSCPV4Xcj3vBGg9UlpdPaVHYD01C1g9hupZPRXAWz1cJWY9QiVmPVhmXz1kJFc9ARhlPf6EeD2pDYE93ix0PY+2WT2oGVk9PR1dPce/YT0P1X09C0ZmPX+MhD2nxoA94iRuPQE4dT1cYoI9EmWEPWlohD2VoWc91WZlPV0CgD3NzoU9NOqGPaoqiT1uPXw9Y5x0PSoTbT33NWY9VpdmPTZ7cD1Uv2I9l8RVPYCPUD0W/0k9yoY/PbUpQD2/Tjk9ppEuPRqaJz0rqy89Q/gSPaqvET3bMhI9GQwaPYRvFD1k9gQ9wQUFPYDTAz39APk8FYruPJKH+zzCcwM9XqMKPT+OBz1CEQc9hQYYPWiSLz10bR09gCIKPaiIDT2+8hA9jj4MPfAnCj3IIQ89Nu0NPRLdET2uWhI9VucQPTTJBD38uhM9+DAJPYRk+Tzu8QA9MoEGPUdYFT2TEA89nD8cPWClJT3PrCA9WmYUPegQFD2oJyM9Zh8MPfDG+jwj8Qo9wjkgPcW0FD17rhA9y5MZPVZ8IT0GCSY9p1MvPbJlJz3zviM9r1EuPetFNj1frTc96kEqPV6bIz2L+yA9BochPUdePD0iD0k91ZlUPUmaOz1j0SA9Dm4sPYr2PD23uDw9TugxPVKjND0bNkA9gXxDPRC2WD0bDmY9iHFbPTqkQz1IW0E9gktRPQIxSD0RiTo97EYuPcdOMD3W5TQ99ng3PUmlND2RUEk9yR9PPS+rUj1PfEw9wFZQPSu/XT1c/289tv1wPQd3Zj24o109oRtoPcL8eT0oNoc9CBGJPdpGij0fBYk9H8+NPYwrkD0cZIs9ntWCPbiWfD1/8mo9NYJlPaVJcz2VX4k9wTycPX1Tnj1Q0Z09QU6dPaHupD3MFa899n2uPXuzsD1QG7U9jse6PW5WwD20Ero9u1G9PVvHuj32e7U9sOy1PXAtuj2z17c9RJm1PQtTsT3fkrA9VT2pPZoErD0ajZs9WIyLPQ0piD0XO449xOyTPXCLpT3aOa89wHa3PWGIvz3mbb09oUS2PUoNtz2MfLY9iES8PYm2wz0ee7w9LUjAPXpnzD0yx8A9Ryq3PajEuj3lzrY9tM+vPdLKrj00YKI9ey+kPVphoD0+qqU9q5qlPXRsnD3c9ZY97fSXPersmj0eRZw9yKqcPW9Xjj1OCYs94TKHPQVEgD1mTIE9+5qHPZb4kT3OApg9aOKXPVVNlD09uZM9KkGPPSG1hz1Zq4s9vdiZPfmCnj2qD5Q9uimSPdJSmz3idZE9KkSWPTStpT1hlag9bf+oPT63qj3UYqc9U7qhPfDVkz2LSZQ9ITiRPTQdjT2OaYU9S6p3PbmSeD2LMIA9m+eAPW9ogz3KK4c9NbuKPUoLij2ZZIA9uwJ0PX0lcD2N13o9bmCBPSkKiz3wa449peOWPR90nD3e2qE9rSSbPbcrnD3zm5w9+cabPcb+lT0ftIc9RGKEPeZolz0KFJw9dVSePYk4nT14WJ0925edPdyXnD1hVJo98qaaPUSIlz3Apow9dseDPWWUgz1Nv3w9aS5wPX5Sbz3IPX09R+iEPd+Jiz1vcJo9Zl+WPXXDjD2tt4g9NLeCPYFxgT1Zjog9ih6HPbtygz36r4I9Rk57PfiVgT0dLII9YgF/PRd7bz2+pGk9cOxqPb7KXT0Q6GQ9OtF0PROicD1hM2Y9kEhgPR7ZWT1o5lw9ZDFpPfUtcz2PfHc9Ig17PRjaYT2NZWw9v+14PYDJgT1vpYQ9qod3PeioWT3lQls98SljPQbMWz0LSFg9LkxbPau3bT1hAGY9FVlfPcSDUz09wlI9RiA7PaC9Kz28xTo9Wto1PQEwLD18tzU95gE5PTZjQj2vlE49M7RIPVbKPD3nrzA9Op4vPQzaPD34z0w9lyc+PWa1Lj16PSA98MMfPSBXLT0Z8jo9B+I5PfCkLj1y4CU97SglPeQdLT3+2UQ94/9PPYacTj1bcD49dCFNPYDqXT2xNWA9KrhWPf5wST3bnD09qKEvPV3nOD1dSFo9xAmcPY4qFz79hVs+i5YuPveTKD69LB0+JtcXPgjDEz6EpBE+HYkWPhoZFz5Keho+kmwlPpMQMj7k0io+KMUlPgizHD4uShs+9iYuPtLSKT6s/yE+uLooPiJbHj4GiB8+31EkPoaNIT6Ewe89StJmPQdzkTyV6mw8kOgePRVUGz7hEB0+N+cmPiktJz5DiyU+biEjPsfUJT4FwBs+DucpPmM7OT46MDM+X5EiPgNJIT75/SI+18koPl0YJD6N4iE+C78gPtLMIT6+UR0+QIQePkhkHT5qSBs+TCAuPrpOMj7X50E+WpI6PoPPOz5AekU+D1BgPsmnVT4T7WY+ikZhPvDbUT7Qak4+8kAhPhepDz5tHyA+8tQ1PrxZSz6av1I+0wxLPpkkLj7CVys+2IA1Po6QQD6LFis+tfslPhiZJz4qhTM+mAE3PjD2MD6bbkQ+Y4REPh1XMT6B9D0+HHk7PhhgMz6ikjQ+G/YzPrdyMD7FHC8+hU0wPlwWKj7+8ic++hwiPv57Jz6zCDM+gIM1PtfHMj6OETE+Zl4nPs3DJT4pWSE+po47Puj7Yj58z04+v4VWPrP3TT6jWDs+ke0sPrNqID48kx0+4xoSPvGhHD42kUw+f5lRPseQTz6pIkg+eVk2Pur4MD47syw+G84nPndGHj6rMCk+MX8xPrigKT5IcT8+zilQPvfcTj7gAi4+7RwePmv/KD6ITi4+XAkiPmFMMD6rpzw+GA09PoN5MD5AIy4+jKMwPuLHLz536iU+krEwPnOwMj7bITg+tdpEPvp5Mj7xzC4+1uUwPqE0Mz5ttDY+yCIvPuvwMj5Mozo+HXw1PuhgNT7wkDE+Mfk6PjP6KT7bkTM+Mak3PnnDNj70ejU+Op9BPjIKMT59GSs+ZhojPrS6KT4zBDY+chNYPprqUT4MyEw+zA1SPl8TOT4ZoiY+TrgePpoDJT47hyg+9CIqPgG+MT5GwjM+hEMyPnMsKD7GDig+ef41Pic7Nz6EFDw+vKA9Pk6dOT5hZyU+SncvPiJdQz5g0Dw+rXQ2Pj8xHD7LCRQ+9O4KPnhqBD6VkiU++vcwPgnIRD5lR00+tbQ6PhVrKj79/DY+z8BXPjHFSz7HQi8+smZAPk4CUD5RAD8+zKgYPqbAFj5jPxU+1WcVPkO1Ej7rGA8+iAcBPjPOAT6r5gI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Sc6IPWpAgj0jg4o9NeuOPQtljT2A0I49VYObPXuEmT3cPpY9MjCOPfzsmj0QYJs94LSRPY5TmD05g5s9ux2jPfJ2oD1uYZc9AhKKPVqOlj33sZc9yVeWPQntjD2gI4o9k/iRPVUplT23jp09zBmSPQBCiT3S45U9JzedPVYRkT1C5JI9xIWePXFNoT0LU6k9D+WaPbpihD3c6oU9A22FPQuUkz0Zv6I9AE+SPX6/jj2hmYc9CYyKPZdNkD3rH449WUqRPbSFhT0V8IM9aUqJPTbDkz2VAJo9I3yNPcCRkj0e84g9pv92PYCgXz0BLnE9onB5PYMHij25OYg9r+qEPawsjj08A5Q9xDCHPXIahT19GYA9Z5V9PSzojz0ZVoI9b3BhPWcsaT3P1X492ruCPU44gD2vP4A9X8B2PayOZz1XKlQ9fD9OPfA5Uz2S3V09+qtbPRk2bT2VN3A950RnPWenZD2aCm096TiCPYIvgj1g73I9C3NxPUkucj21K2Y9HJFmPWRzZT3qXGs9s8x+PTsZgj0mTYM9i/6EPYgHez2kFm89TTZ8PcOQgD2wdYA9XHdzPUFhYj2DfXQ940x7PSBqfj24aX89GwB7PfoBdz0gYHc94dBkPbzNRj21kEE9R8suPTRWMD2+oCU9RxEgPXCAID33oh095HscPY8QLj0T2DY95Ck0PQzeMD1UBCc9tKoYPUyOGz3uuCI9cWcbPXvw+zxZ1f48Zw8IPb54ET1SPw095O0KPVH2DT2BnxA9PwoVPU7vID0wSiA9vLwLPUlnAz020BA92KALPYsmCz1OPxM978cXPTB5Ez13bgY9WH0LPbDNDj3RYhA9Tt8RPSoNDj1frRE9DW4SPcSfFz1orw097vkUPUhIHj0TVCI99fwiPSJxJT07ox09btwXPUhBDz2WLhE9vGsXPWFbHD1sdRg9jFsVPcz6Hz2a1iU9hX0jPXP2Ez3C7xQ95ukcPdoRND3WYEA9IfVBPVtBLz2VPCE9ZHowPX7HPz3KrE49lPdGPSplRD2KnDY91MQrPSAoOj3HQC49m8Q4PTJsPj2keEU998ZGPVWrQD30bEM9hZo9PT8iPD21REg96C5EPfBdRz3NsEY96YJFPXR+RD2HREA9cv9CPSbBQz1iakI9ho08PRoeOT1VTj098KpDPQ96Tj3U7mM9pXiAPXfYgD02H3A9rWNnPdD9ZD1KPm89XZV8PfEihT0lKog9+YuPPbollz2nIpA9XraCPaCUkz3cBZg9HOihPd92lD0eSoQ9DJt5PauyhD27SYg9P5qRPUn9lT0IUaE9uQGjPRR+qj16c649yJaxPc8Stj0Z3LQ9VAC1PXHYuz2kWMg9a7nJPU1kyT0tOMk9yizEPZLJwT3aF7U9PGiyPaWOqj366pg998mZPV2njD0LBYY9TmKGPYKPkD0t6Kw9lp3GPf2ovD35hrA99kanPWHAoj3MHak9bzO4PYgAuj2DOr49hLK8PairtT38Tbw9UZbAPacguz1hbL89uvTBPZ6Qvz1ohKw9E0WePf6Isz0LQLI9CYKoPYAWqD3Qla09vu62PbeErz2UDKQ9N6CePa5apD0U5pc9YF6XPax3mT1KqZc954uRPbbslj38wZo9Xq+UParBlD3aJ4k9Ell/PSnCfT2RcoQ91AmHPQqhlD03/pQ9K5SPPVHPjj3gA5A96CaUPfIdoD2mTLE900u4Pe+5uD2EWrY9s+mxPXkfoD0c6pA9xL2PPa32iz3944M9/giBPbqDiD3tGYY9OBeOPVd2kD1/6ow9ug2EPfEAhD2B03I9TeJsPcAkfT0wpH89zimFPYTJjj0KY5U9GVCRPZNNlD2gZJY9P9iYPR4dnT0XUKQ9L7KdPe+fjj0ctY49i1SLPXqljz2vaKc9fW2lPRLklj2EpZ89WW6mPaQ7nT2/C449XgOLPcb4gT0ba3c9mKt7Pf3peT0SeYM9MiiBPQmVgz1k7II98PeLPURUkj3WDoU9K79xPSzKcj0XwoE9b1iAPSnCgj16wII9M6V4PdsQcT2hL2c9UKVmPdZJdj1TcIE9GF5+PZokWz1hDU89ZcBTPXWgVD2bNUs9G4RYPYfyZT1xEWY9DfxjPTeaZT0QQWc9Vs1mPZx5aj1cSmQ982lkPfsuaz1yq3E9zUpzPYc2dj3AUIc9Q2+DPfgGcj3tK3E9DGFhPeZNXz1EyVs9rB9vPU+ccz1S81k9chNQPWiCTz3fqEg9cCNHPWo7Rz3nLD89vqo1PSGQPz0ddU49GqBWPSIBWD3/rk09h94/PZyUOT12iUE9g51CPSKePz204y09VuolPbHpKz1qVyo9LJYqPUOTLD2sCDs9wl9OPbIgSD1GZjs9Ha48Pc5URj1pSUg9Il1JPTH5Qz3z6zw9HVQ1PQrINj2QJTw93PBDPZbUQT1c20Q95400PYJeMD3O90I9fzKBPT9S5j2BikQ+chJVPjzuIj4aQCM+nvkgPt3BGz6JzxY+7cMUPmnUFz5E+hc+WgATPjiqGD5afCQ+H0kYPmTyHT65iiI+iY8bPmamIz7q7S0+oG4gPvmBHT5Arh0+1wQjPsiBGz5LRAw+pFqlPfe3qDxMomU8u4dtPOK+zzyvo/Y99D8nPgquIj5sWiM+zxElPguZJD764Bw+biQXPtyoGD61Zxs+8q8ePokyIz5nxCQ+tO8iPrLHJT7eMUk+Pp9ZPtKyRj6JmCk+LP0gPh4oJT4Ajx4+LOoaPv2EGz7xYW8+mW5HPghtOj7opz8+j8tAPm1qNj5I8xk+COJMPusgbj5+FXo+SdaFPv3DhT4m7mk+r8dUPtO1Qz7gWj4+AXk+PsTMOz5XrSU+DmMmPo2lNT4d2D0+WqY3PtBHNj5zNTc+tA07PtSXNT6xwC8+8jpJPt3uSj6XHzQ+U94sPpPiOT6P2jY+1XQqPuQ3MT4pSDM+hCwzPqt9KT4bMS0+5Eo3Pn+VLj5YYTE+GV09PkBwPj6pnjc+B9gxPuA8Kz6rHTA+1XwxPpxoNT4ix0Y+UJ83Pv3jSD4I90E+/08tPgfyIT7GPSE+qPUvPrhJMj6TlC8+LRQ4PuZOQz4+eEE+hOVBPuhLQT7bLkg+tq5MPsfiOT7KcSI+PU4fPq/rLj5Y4TU+mEs8PiXiOD5SmC4+gXYoPg4PKD63CDE+iEMxPjfPKT5Snig+LqkoPre4QD75W0c+mIEuPmFNIT6zYyg+/vwyPt7zLD5qDSw+MpEuPlZvQT6fsjs+HyEmPu9VLT6bkzc+MhM3PqBPLD7H+T0+ZzAyPnyjMz4Nbi0+2jsrPh7nPD6LUCk+kXYpPjOyIj6gmiA+2IsePlVyLD6B4Cc+G3olPqMULD5HtCo+ar4pPmF6Kj6tDUc+GIQ7PgHKMz6dwDA+rfkqPr+4IT4pPSw+844oPre7KD6tdic+m8YuPryrLz6ouyg+u+MjPo4vKj7bsyU+i5MaPn+TGz52rig+USMiPpiPIj4vRTM+X1UtPvBbJz6zqB4+VBsiPmnoHT7+oRQ+678PPrmxIz50ejA+5j4+PuqMLz4OUTM+Kwg+Pra1Mj7paCk+Gu8XPo2FIT79jjI+pPIsPl5OHj78DB0+j+YYPvMsFj4W8x0+OUUnPq81Iz4n4CM+0dAkPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0bomD3PV58940KdPZIPkz3Yq5U90/eXPRzzkj36bY49JTyUPeCqlj39zJ09k/KxPQSJsj3Jw5w9GKWVPSvclT0q0pQ9EoiWPVupnD1/F6o9m42wPZceqT2xhZM9ItSQPdvgkj3LcJ09rfqbPZpcoz1/f6c9J6iUPYRxlT11Ypg9CKCfPZ2/nz0Ix5U9ZE6UPQlijz1r6ZM9xK+KPSsCiT230p099aSjPcEtjj3zPIQ9ZWuJPXJ3jD1wApE9C2eSPS5JiD2ycok95Z+FPWcPhz2nL449SzSOPYiugz1sZ4E9+GJwPdtHYj2M/mE9PmlsPVajZj2EVHQ9elKJPdaSjz0h25U9V1WUPcbVjz0mzIg9fC9/PVejej1Oi3s9l9FkPWAVbT19nHA9vYB1PYrkfD22BH89W9pmPY+gVj3GR0Q9UHFCPeniTT3JElM9HNdkPbUZdz2zJXQ9jN5nPRWhVz3mvFE94ndSPfiSUD0Yl009XdVhPVl9bj1nh249KLpvPXbddT1uSn89fYSAPVDbgj1wzHw93Fh+PX1Nhz1AIoo9u/yMPcNpkD0BTI89J+ONPdM7gT0w5WM9ebtfPVzicD3Dt289D+9pPZPNUz2k5E89Vp9IPbjtOD1DxzI9QMYjPZRbGj2+qBA9tv4LPQb1Bj3WJQ09sI4NPfU2Ez1WWiU9hBIhPW8BKD37xyo9W6gqPRp7Kj03FiA9ucQOPahXCT18nwU9tVMIPSa5DD37hBE930whPcTNGT0NhCI9vEArPaYlHT3q5go9wsMTPTJWHz2YAyQ91csXPaKvDj3oKwg9+M4CPYVXDz1TTg09OlsUPc8lEz1vzhc9zS8YPQqMGT1HThs9j4EVPXOwDz11NRs9ZTkUPT7SDz3HKho9UnEtPUrIOz3hHTI9YvkePa8/IT32riM9IuIXPbuNFD30Fxg9ttImPaKpIT0+WB895YknPY3GKT3iyCU9dHAnPebxHT3pCCA9QLUhPZixGz1sEhg9PmUnPRvbPj2YTT49QzBQPSoJRT1AaD09vDstPRgSMj2cczI9am44PfKNRj2fQEs9PU5dPQepTT3s0EI9n5BNPe85UD0H40Y9ohI7PZv0Pj15fUg9RApJPSeUQT0Jkz495QdBPWdZST0MXkk97q5MPcnRUj3L8049rLJOPYKRUT1CKVc9JotgPVqhZj1oIGI9q8VjPZ+7az3sb3c9bjCMPeVRij0AR4M9B1mFPaHmiD33cos9UYmPPcs8lD2kk549UuGfPa28oz0PGpE92JuBPcQ/hj0YnYc9Wl+JPQ6ljj3fbI497rGDPQZZjj3/AKU9pL6wPUwzsz2d0K89nrSsPR0Isz3EUJ49zTecPWObpT0EbbQ9xZXQPZ37zz0sVcU9IMjAPQ7KwT2XC7U9dneePdFkoz2+MJA9cxCJPU0GkT3wP5g9NNefPcgJqz08Yqw9+e2xPXImsz22lr09A8q8PZ8wqj2rGqk9uCC7PfWVxD02s8c9krfAPeONwz1PZMI9HGC2PbYUsj1JxLE9n2ixPRsIuT0LvbM9uGmxPamUuT2bAbw9ZtG6Pacfrz2+2qY9duKgPZeIpj0LE6g9UoahPehsmT33LI09+CKRPWNfkz2++pI9YxKdPVfnmD2c+Ic9yBWBPdcnhz1SjYg9MkWJPYmCiz0t5ZM9MB2OPdlSjj3luZA9odaNPYGkkz1lNZ09kvqiPRWLpD3jzKo9O/OnPRDQlz0IGIo9W4uHPb2Jij2KP5M9yDKTPfKkkj3O64g9O2lwPc9JfD3uGYc9zoWFPWUYgz3F9IY9ud+GPYJQgz071IA9cKmEPV0Zjj0XTo89yCWTPYG3kj1euZ09oK2bPReHkj3GhZI9dr+SPb/JkD3k8449oU+KPdkNiz2DkZE91/iUPeGAoD1TR4897xCKPZVmiD2SsYc9lMuCPdnTdj291II9xauHPQUUij0WMZU99FGePeBclj1AMok9RzWFPYoMhj2JfHk9ngN9PU8Zgz0eCHE9KfpzPX0PeD0Gc3U937CCPS4Gfj3rUn49ei+GPZrmiT29mYw9ri2FPf03dT2seGw9FdZtPQJFdT1ZUG09mZVxPRr6bT0lTHo9vedtPdCWYj3ZYF49gNVZPZiOWD0q0m895rN0PfSYdz3++Xc9ia11PZT5ij1moY09G8WNPQosjz3+u5A9IUCSPTX+gT1ohXM9KIlqPVWaXT2P5lc9ZoQqPQhCMj01dj89TIpAPYdcPz1RbEA9tbBCPVkGTD1giVE9fvBTPStoWT1FSWY9rCloPd9oUz1Fcj49YHlBPQ3+SD0Naj89l7U+PftVQz0kVEg99ZpKPRZdUT23QVk9Zk5YPY/BVT0TPEM9AYU4Pe7hQz3UUk09MPtJPWk5PD1keig9NW8mPcLrMj068zI9vB0zPSvYOz3i7Uo9oDVJPaGvQj0jtWE9l7CIPZ0l2D1EMBw+TgoyPk77Pz7UUR4+IdIfPl26HD5UpCI+AxMnPodBHj5HLB0+b/YaPqqmIj5Phx8+sxwRPqX+KD7pbSo+J2kdPhTuGT7JmR4+b9QqPgE0FT4IQAY+a4bbPXJMpz3xe/c9TVMLPsRiQT3vOog8XVFqPNzrfjx5vN48OKm/PfQNLj6qgik+fOwXPhV2FD4bChc+m/gaPqvwHD4t1SA+hwQePiM/Gz51Wxg+9K0gPvxbJD7NcCE+KEE7PjjoUD5PS1c+4ilVPoa/Mj5ePjA+McA6PlcpKj6T9yQ+bPpbPuxPZj53VV8+eDhcPrMhWz4pmlc+cVNlPjBjbz69pVo+8Vt7PrhGnz6vyaE+qEFvPl3lZz7oMlY+hR5DPptQMT7mpS4+HUkmPpCsHz76pTM+OqI6PleRND6FtzQ+fQAwPlvxIT7PcCA+quwjPiYfRT5OrVs+iPVTPnkTOD5NRSs+GRkpPlHxGT4c6h8+YvgdPob8JD7wOzM+ApU7PlyFPD6VqTg+v7E4Ptq5PT6mOT0+62IyPjtCMT5/fy4+aaUzPuLkMj7Mbys+/fQdPjT3KT6CYT4+xz1APp9fNj7Q5ys+kEAxPjmVMj6HOTA+MOMxPg/RNj6U8DI+88o5PmimNT4LlzY+OO8/PmO/ST5sxD8+71QnPq1CND5XKkE+oYwwPoVvMD6GDTY+/DBCPkmeLz746ys+PT4tPiy9LT5vCis+tborPrHQLT5nhCc+uggePl44Fj6NjxI+6UwvPp5BRD4ILzs+DJ04PjiDNz6zaTU+nzwyPpbWHz49zhw+0zkzPlRAPT7lCD0+6uowPlM6JD6BcBw+SAUoPjb7Lz4jszE+hH8vPgQ0Nz75Ci8+2UwwPhwHPT592kI+gpBHPkZIWz44lU0+P2Y3PltHOD4HLzc+Dl82PpnDMz7HqzE+Vh0nPhtdHT5jYR8+CHE6PoQ9PT6uoDU+UngnPnzKJj61/ic+g0YoPgSiJD4ERSo+8mYnPnJiHT4/CiQ+Sp8qPoS+Nj4AEjM+ulUuPpXuMj6b+Ss+IEYrPkRwKz5oFCk+7YAnPh4qKT5h3CI+kxEbPnwjBj5KKAU+VF4DPm5gCz7fyjM+NFwwPoKpJz6xlSM+f5kZPgTYIT5oDy8+/LglPvzvFT5QVw0+lo4NPs3cIj40iig+KoUnPqT1Jz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+Mq5k9YQqfPY1WsD1GZqg9ebqUPW84jz0gI5o9mLCXPcDfmT0IhZg9pOWZPfVgoj0Mp6o96bSWPe1Tkz0xWY89pU6MPXXmlT3tfpk9zdeVPUhOiz3ypIw9X1WRPV6Ykz0xlpM9KVijPV8hoz2UYJU9NKmWPcgNkz07DZQ9aQSUPbqjhz2TXX49Gr6CPQjuhD32M5E9ojebPU1BlT2iH4c9K+6APd4Ofz05ToU9+M2APUL+gz2TOI89pRWRPWtmhz10qYg9Mq6JPb1Jjz0P8o49TfqPPTU3hD1dLHo9o7h5PYXoaz1Dbl89x1pdPejAWj15+WY9elN2PSZYfT0vnnY97Z51PSogdT3VD2Q99JZmPZdZYD0bwm09FM10PcxIaj2zRFY9ehRUPQFPWD2b5WE9fYhmPSMLXD1KrV89ZZddPWlabj0ATG89hd1lPeM5Xz0itXA9r5hyPVJZYT1+zlU9FTxoPUiTbD3WfW09pglwPRTlfz2GWns94apwPcvicj0JpIA9WtaAPboUeT2dJmk9nmd0Pc4ZeD3/7389HT2EPbzPkD0Jeo49SbhvPYJ+Yj14H1E9/WtIPdDqOT3WOUU9g+1CPfPUOD2oQDc9+T04PagBMj3Y0SM9DDMcPTWgBz29XQE9Ul/wPAzkBT2cuQw9wF4SPQLaFT35FRo9OzkiPUWiOT1yYDw942UtPZ1+Jj0qYh09mToYPXsNGD14Hxc9BnsVPdhbFz1F1yQ9n64pPZwNKD1EFBw9wbglPR1kJz1yfRw9MtYQPQrBCz2qrxA9NLoiPYGNHT21+ho9TkkQPSNBGD3fTys9bf8gPf1gHz15KR89UfYcPbtTJT0zAh49y7gfPQXlHD2XEBs9ugoaPaA1Ez3O+hc93ekZPYkIFz0ygRo9t+8YPYuECD1p0Q49ZpQYPXEiGD1YOBY9wDUUPWJMHj2nORM9boQSPUZzIj2PUSs98p8pPcatGT3qWiI9DzYpPY15MD3otyM9yYUdPe0+HT0Loi89AwJEPezAUz3vKTQ9lOssPVFmMj3RITw9W6E3PQqnQj1xXlc9F7tPPRchSz3DMTM9eakyPWcHTD2Ejlc9hkZTPZwIVD0cAlk9MOFTPR2rQT3bIjs9Iz5HPV1GRz3Ro0Q9wLNIPeFfUD3er1A902lNPdASVD0Ynls9JWRnPdJjcD1bB3Y9Wgt5PU85bz3ZMm89/IdwPTgTfz3Mw4Y92vB/PbpgcT3M2HI9jOt6PdSngz1NNZU9ICWYPUiqiz0qiJM9IbuZPZA1mD0t0409O/uBPU5KiT0Heok9vi+DPRrNiD0CupA9r9SWPQnOlz0aGZs9F/uaPb0wnT2UerA9lDOsPfqUtj2sFMM9uCjEPVDlzD3ze8g958/IPdbSxD3EJL09GmuuPfBTmz0gtKo9mq+dPbefjT09O4o942mSPXRPmj3BQ6Q9f+K3PbJGuj3vxLI95qOxPUiTpj2gHqM96iiwPRMmwz0/tsI9KHO/PcoQxD0kkL49ntauPaixrz1BMa09SVypPXWHrj3vOrc944O5PZTzrj2ziq09Y2GvPUMxpT1b+qI9bz6nPT6epz1PNqM9bpWgPWJUkD34KJc9GEGXPcpPmj38EaI9xyaiPVRPnj2PL6E9Rt6bPXCzjj1fFI09jR2HPe8mhz3ugYQ9+eGLPbZLjz3uLZA9+OyNPZspjT3jzJA9eb2dPXSaoT29dq09FTepPTQCpT37gZQ9l8mKPQGjij3iRo09WTmVPYf9lj1bS5o9zMmJPWlFgj2/pIo9KPeFPW6Mgz1trYQ9xdeAPSsjjD1FepE9toh6Papohj3IepA9I2aXPYVdkz3okqU9I52bPblKjz2nMpA9CZ6NPXBTjz1Vt449aJSWPaxCkj0RVZY9KdmaPfK7iT20BYc9ACGFPQvFfz0hzX89Zf6KPemLjj2iRo09zKyQPQ4yhD2E64E9HWSEPeXEhz3O4IQ91LmFPS3Ygz0KLII9q+19Pfz3bj3wL349GRR8PQkiez3ljYA9LveAPR/IhT3bUYw9cSyMPd+0jT2u2o89OG2RPcmulz1BHI49Vq57PeoOcz20FnE9VspvPYsBdD3iK3494lyAPYIYfz0uOW89XyBqPR8Zcz1olV89JoxvPdzJgj2uo4E9D92APRh9hD12E4g9LHSKPYbbjD2Sto89HA2RPVSihD0Khlo9C+9WPVSvVj1kRzw96Z89PZ7KRD2IxFM95k8/PeomQj3/hUY9oFVJPXtmTT1myF49g21oPal6YT3sWF89aAxePSBwWj02ak09IOo+Pf7/Nj2KjkA9x0hJPXbNSz2+H1I9au9IPZoGQz2a/049i+RFPVIBQT2tGzI9BQIwPSJlNT2UWjI95kw1PQ8RNT1wXS09XeMiPUvpJT22Xi09am03Pe/9Oj0cuUE9JDZOPSElST3YhFI9NYeYPQNT8z0nuic+hv9APo3UOj7hPBs+qPsfPnCjGD7/CxU+vDobPke6Hj5EGBU+r+EaPuh9GD5NCCw+7+AsPn39ET7wHx0+PBQjPvhLGz6mrhk+FV8XPkuQGT5OOQM+xX+9PVY4Bz0dj4w8PqUIPfj7Mj1dOP88Q6HNPMUXmTyqdpU8AxuWPLAUIT3UIRo+MtAtPkwkKT7b6ys+KxMtPtZ/Jj5RHSA+lCIaPjxhJD7bdDQ+ofo9PoDPRj7vkSY+lpEcPgC3JD4ouDE+Oxc0Pg5fMD5t3yQ+G10mPiHuLj6y7Ck+e8InPhNOST5nbmU+BR9VPmi3ST7QTGM+8wloPm3/XD5pDUw+uWtIPqZBWD4gnJc+wMaZPmCGgj4H5EE+RKcvPp7IMT4Boy0+NlomPoaUJT5xByY+7hgsPtVhKj7PWSw+IsxNPtjIST6oRzY+5bYtPicWKj7NkyE+XvUzPvd1OD52Ejc+QzonPuKVJj5IiC4+qcszPtnxIT5BaCQ+kZk0PmUrNT6Xjz4+6fssPmL4LD4hDzE+QtozPl4NKD47YjI+YaA2PjbbOT5TGzI+SG8ZPkzXGT4XBDM+/qRFPsroST4gej4+nC4wPkdrKj7dDC4+CZIlPldlKj59RjI+++M9PgS2QT5FrDU+C2swPgnSNz6jMjk+zV1DPpxMPj6bujg+RzUiPqLSKD6SHTs+pHZWPsktRj5vxys+UXMtPqDEKD65XyU+5KYdPlF0JD5EQzI+Qy45Ph1XPj4osDM+0IokPhk2Jz7Juzg+fY8wPri/ND608zo+TMVAPnvQNz5D5i8+XHgsPmlJMD4CCC4+AW42PoGgMD54fys+9xczPtJsKz7iYic+iFAmPqnKKz7frDc+hAM1PkC4Lj5IOjM+FPI0PvKTNz75B0E+Efs9PtzaOz48sjU+QnE0PqCILz7BFyA+EHYkPvwvJz6I1jg+p+83PpZdOT6saTw+IDlGPospJz5nOCk+9fEoPjNoJz58FSI+qHEhPoaBJT4/Jyo+zVAdPtWXHT6rjCE+ioYtPgFgLT4P8Cs+BfcdPunWGj5GPRk+HGoiPtiaMz7jOjU+gpc1PuvgKj73EAQ+pH/1PSagET6V3iE+uv8yPhMfNz5tTDk+7EclPpJpHD7nXxg+j1AePpNtLz4jwCo+PL0iPr8YFT5K8x0+4eQdPuLlHD7i5Rw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/GhGTPZRykz0GxZ09y6agPcGWnD0UUZk9YEKfPdGHnz1gYp49CbScPeujnD1p3qE9ZD2yPd/lnD3MWI49u0eKPZpEiD1UDo89SXWIPUJQfD0lBYM9tjONPUsDkT2Do5Q9Q/aYPfM9qD3G8as9Q1igPeP+nT0MUaA9hpaOPUnigD3cCoM9aa2FPfbhhz2y0Y89yDGcPeaKmT1oBYc9diJ8Pfh2eT3C3G49w1R/PU7Ahj0jGJA9F2KSPSFaij2gyGk9NmxmPVQafz1XsoI9kd19PdsZfT1gwHE9aoNTPcraXD3poVg96WJUPXYXVT3JSU49c0dDPZ8SPT0cX0A9kSlePUOZdT3a6nw95yBXPWqKWT3QQWo9c15yPdUhZj20oFw9Z9dbPSroYj3pNGk9phpfPYCeWD0Nl1o9JSxyPRTaaT3fUWU9UXtoPWwjYT1r1F49eIxgPd6veT21gXk9QJtwPXDgbj1X5XA9V415PdDFgT3lxoo9Hn5/PcDigj1kpXk9d9V1PaGHcz2D22096n9wPaluYT13YXA9BL51PVKpfT2qfH09RGR0PfgyXD07N0g93bhCPcy6OD189Do9s/s/PcQ6QT0Mnk095UtPPQ6NRD2oRRI9D7TyPAoh/DzADgc9H5sGPWPXBj2pqBI9epUYPes8HD1EBi49gsQsPXXOLD3y5Dw9f9o1PaFZMD2pXhU9HkcUPfixGj0UWBc9zDYePd3vKj03sSQ9eGYuPTK5Lj1vHhg9ieAHPY/RDT2sSQ09SyEQPfIDGD1wECE90XsfPfSJIj0sJB09hEEUPVidFT0nxSE9WlwzPU4uKD231xg9KkEaPd3RHT1zGCI92xQxPSZaLz36iiw9bkcfPSnfEz1hAg49IxMbPahELT1WjCs9ZOYlPc2dJj2LqyI9kXgSPfp2IT2D2yY9184XPfpIEj3ZDhI9DocbPRXUGz3JuRc9ATkcPesBHT2pHRo92S4rPX6/Lj2EaSo9ogUoPTpKLz319DE9Fus6PRrdOD12Ty89R/4jPTYUMD0MVDQ94WJBPWhsTz0XuG09AitwPbvHWT2oLFQ9mLVDPe6xRD2x1FA9o8FkPWCVYT2G3Fw9phpUPWhWRj2tLT097Kg9PX+HRD0AsEI9IGJLPQK2bz0gWXE9v6NhPXdYTj0Je009UrdUPUexaT34s309O6CHPeCgeT3qv2I9LblrPQSCfD0H8n89REt7PSiHbT3kpGE9CYB3PVFuiT3nqo49KIqYPYkZlT19r5g9qwmZPTHWlj2U34w9/guBPYXHfD0ZVoI9XXWAPRwnez3+w4A90NaBPTRbhT1YBZA984KVPYCNmj1rW7E9kpfIPY1MzT1Hprs9Oiy+PapczD1cFc49lWuzPVSMpD1HnJ49T8WdPQ+Pmj00L5o9u7+uPZLDnT1XUY89WvyRPRN3lj1Sfp89BhapPW+Dvj1Tbb89lzC1PclCsT1TNq09i0uuPUr2vj3z38A9Ybq6PR0juD0QMrU9fJKrPZVxoj3/aZ49fz6kPXm6pj39yaI9CvmfPSE7qD2UD589VoOgPSkFoj2IhKM9Z4WZPWKTmT0696A9et+ZPWRUqj1suqg9XPWkPWARmD3A4ZY9PembPTKbmj2L+5s9r3+fPReXjT2WeoQ9qSiGPXNMiD3M2Yk9pyKRPYzekz3EhJI99t6TPQyxoz0Y3ac9LGqhPaW3nz0me6c9vsyuPetbqD3hmJg9A6eOPeM/iT2cTYs9nmOPPeeanj14Gp49746YPUEEiT293YI9TUqBPTXpgD037IM93zaIPfh5hj1+o3w9vr6GPeAQiT0s2Y09ZWyTPVDclD1pNow97jGQPdKmkT1QX5A9M2mSPZXWiT2YWos9wduWPVp6mz2Hmpc9KpWRPSlDjj0SZ5E9Lc+JPX0+jz2gL489+EKRPewslT15uY09gniMPRaBnj3/gYo9LDmGPe3miz1mLJE96AKHPQhSiT221YU9CbKDPVEKhT2jAo09kRqPPSR+jz0GJ4g997+IPX27iz2I0I09yGaJPWukkT3ACJE9Lx+VPcHImj1w4p09FiKXPakMhz31RnQ9RIVmPa60Yz2EFmg9NxNyPWuoeD32hGo9kLJ8PRhvgz2jCX49Qr5mPYDEbD2nZHw9ORF/PazkgD0SJIM91neAPXJ9ZD1zxVg9RkRcPRluVj1D31A9JeFEPdnEPT0AskI9SE03PZs8PT1UwUE960JOPdXoST2c1ko98bZLPahdVj1FhVc9YGtbPbUKXz2gvFg9QlhfPc5hSj2/QkI9f+IrPfA1LT31MTQ9Q/lBPaSxRj3Ankk9wcdKPR7IRD1sG0k9hBQ5PTJvMz11pzI9o1UwPbiTMT0Q9C89JIksPWKSQz09ykQ9SPQ+PcS0Nz1+6jI9u0QqPQZtNj3H6Ds9pw0/Pb21QT0W2E89PLiDPew+AD7JMlY+4blJPq6LMD5HQCA+P5UNPg1cHT6SCxc+vIoTPvs+GD7qtxY+QfkQPnoXID7EWiQ+2ukkPpntJz4RAhs+hiQRPt0jGD6ClwU+UJPrPbCf1T3No9M9nUWzPYEqTz1dEdM8H97IPP0i1zwY3ts83dbLPAAzuTzAl6E8N2ucPN4qlzxvGa08TxaQPRo2Gj7ARCo+SGIoPiOoLT6sKzE+4aIqPqsPNT4S8C0+wBozPsoYNT49pjI+tsopPrNpID4JIic+ja8nPtOVIj553A8+SWciPu+fJj5Plik+JR0oPhBUKD7BrCQ+DR4kPpOfKD6Axyc+RNAqPrWhLT5tNig+YOoWPpYSHz6NX1c+SWaCPtHtez7rN30+/6BbPnbXRj6uZjc+ZUUzPqUlLT7BOy8+IjAxPtSEMT5N7Ts+NGEtPgSgOT6+AD0++4pNPnD9VT5d6VQ++cQ9Pt1xFT4x7hY+SZYrPm32MD5EZiA+wgpXPvX5gT4+BWg+a/NZPq/aOj5qlTE+heAvPnpVNT7p5DU+6Y40PkcTOz7LMjY+U/8uPigbJT4VaCU+rZgwPsvnGT5emAw+VzU3PnMfUT7lk1M+r9JGPnIdMz4s/ik+Zf8rPmSuMD7ZADE+ljEzPjJBPj5rc0g+pkAzPr+PNz5T3js+1i0+Pkt2RT5kekI+ZZQ1PuF4JT5r7S8+Hvg/PipPXj5+Zks+8wUgPjVBJT7quis+h8ErPrJcKj47Tjs+dk0qPsMRQD5jWk0+OQJFPtpYPD7xzTY+MIo/Pk0pMz62RTI+/xEwPutvMD7gujs+nvQ0Pi6iNj7KuzQ+FioyPuvJMj6WICc+QGcKPqEvJD61/Ss+MvVqPmkbhD6R+Ks+J8szPmO6MD7BrCU+RiIsPlnCLD7KPyo+kBsyPoAgND6DmjA+rTUyPjcvJj4yaC0+7MQyPrCnKz4CCik+c94rPs47Kj4zBik+F68qPkWRJD4Bihg+jAMjPs7VKj7w9Cg+jm0gPiA0ID47mCA+F9QlPmk1Hz5H6xs+E8ETPs65Lz7wgi4+5KcdPjqzDD5/Uww+eXsWPijwJT6WAyk+U2ESPjakKz5rJTI+D4AlPs9ZFj6RFxk+cV0iPgKJHj5uLSE+BJkaPpTwJD6YsSk+tnYNPm+hGz4Oayk+jYMoPk+3Hz4l2hk+N6QgPsI1Iz5j6iA+Y+ogPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3sBmT25oZc9RHyWPdgqlz25dJc92/6aPd+Ppz3O8Js9EKehPYsmmz2a/Zk93mOZPSfKoz1lF5o9XEmEPWumiD0QAI49LLiRPRL1ij3mZ5M9zlyVPVSxkz27/Y89mCqTPSt8kz0RyZM9jPWZPSi2kj0y5JM9+n+hPVSKoD2WvZE9ZU6PPagpkz1o8JM9lUOTPVcGjj2qDIU9Bn2HPSUFiD1V5YM9lr5yPSacfj1Uj4Y9lmZ1PYGaZD2ab2g9vYdgPWnwbD3VfWc9CCdqPXW+ZD2PcF09fstjPfXKWD3+Xm49n2xvPQqpXz0UH009bRBKPXL0QD3x6j49qmhBPdCRUD2Sm2s9hsNwPWyTWj0IE1E94TlxPeCqgD3zZnY9dJpuPYH7Sj3QK0Y9wYdMParfVz3qTVM97wBTPWRHbD38k2Y9xhhpPQIOgz2i0IM9VdpqPQBraj3/ZmM9I5hmPSmJcj3HsXs9mTiFPdIAgz2NfHg9RaZxPR2Ubz2ou3Q9mR1cPeJ9XD3ah2A9fv10PVS/gz2kMWg9jVZjPZjyZD1Z3Fo97OQ8PdcHOj0p8DU9RgI7PVzXPj2DV0A9oA9EPYelRD2W/EI9WD49PcJzOD1VUzA9HTsYPVANCz1CrAQ9jiYGPe2cBT3P1A89oE0fPQk9HT3rtyE9GEYqPW+PJj3HBDE9jk42PRaKJD1CISg9+XgcPXKXGj1L3BU9CWUXPVrnIT3CnC899lQyPVywND3uHDQ9thskPbEXIz05BTc9R3Y4PRG7MT1fgTQ9cHs6PWTEKD39vSU9m4wgPUPfLD2ffDc93RBCPT+6Nj3ZIS49TJsfPaaxHD0Ikx49YkwhPZH9ID2Erio9+RUuPagZJT3tUCA91s8YPX0FMz23qTw9lMYlPbX/LD2VbC49DeMoPRCTHD1k7CE9f3YjPRjIGj2OjxU9TlwVPSpSIj0dBTE9yR0oPSmdND0sSTU9kQg0Pa20ND3eKCo9Yj8uPdwlNz0ueTw95H87PZgeNj34zDc9eSQ2PWzrOT1E6jA96OgkPa/KMj1rIlE9YkNiPX76Vj0xMVs9wudVPd5GSz2iEj89XOJXPaB8Yz2DiDw9lWM6PcyYNz0MeTM9TfNBPQD0TT18JFw9i7plPb5sZj2ux209To9xPWU6aj3pYVw9rCVpPXG0bD09L3k9hKd+PbWrhT2gJYc9EVaMPfZIhj28iYI973KFPYWneT3Qrl09JNRrPdvAbz1DpIE9YtOPPUpvpj0BNKg9V/GlPZ71pz2od50996uQPSsbhj38EXc9S89zPfG8cj1qmXQ9nQ96PXqTgT2f1oY9RzaVPbSPoD0ClrA9JazAPeo1wD361cE9Ubu2PZyYvz1Lycg9Bxa8PW0ToD2DwJY9URuRPSDZlj3xd509i3ObPZl4mz1DBpI99lmZPYJjmz0tZZk9756lPV6Quz296bQ9y2OzPVwDvD32ZLw9QY6vPRaHrz2eZqw9D0WtPRAXtz0DEr09yqK7Pf46pz0GYqA9DTGjPdJ1pD04lqI99b2lPU3ooz1UG6Q9HFefPcTJpT32UqA9LyGfPcaVnT2dTJY93zqaPUzEmT1Vmpo900GbPW6Dmz3Qa5E9HU6TPRNAlD0cFIw9qlSLPWxhlT1hio497c2GPYNBhT3ILI09OYeJPfYFiz2RcYw92DuMPZDokD1HM6U9ViGtPYVcqj3traQ9o4SkPQONpD3Fn5c9KuWUPdvwkj2Yp4o9kGePPRgeoT0yK5090K2PPfWOij2cQ4I95/uBPcANhT2UPok9/1iIPbAYgj3Ow349R2GFPZYJgT2ZYoc9Z32NPfv0mD3aBpk9lrqZPfJQpj3MR7I9ZhGnPUb6oT3wPaA9ahugPVtsmz3zB589YFalPW3Wpz0Du5091BqOPZUpgz2X0YY917+IPeCxhT0EmYE9aEeLPdINkD2G7Y8925mVPaPSjT244Is92nOSPSKMhD2yVoM96FqCPb46iT0XuI09CVyVPXuIlz3gIJI93nCKPYyKlD3nnJw9hiKRPUO7kD2JvpY9ESqKPZ8olT0h9Zw9VfeTPfrTfD0a5Go9Z+xpPUt3bT2UXXQ9CDR2PbK7dz1DgYU9n96LPUGOiD2ml309TL13PUDfdz2uCIQ9HJCCPZYbej3UnnM9h+VwPZsYYz2BDl89uCdaPcZ8Uz1EPz89aAk9PUzYOT1pJC09Ls8rPWSJLz0J4TM9Lik4PQzfTT06dFU98WlTPdCFYz1nlX09SgV2PXDIWz3id1E9uqtAPbu1Mj30TkA9WS5IPW/dRT2f+z89FsBBPYgERj2nJEs9oXpYPQ8qVT28r0A9IAQvPVSzNT0UGkI91gJDPaPbPz3xHj091+JEPffCPT0cpTs9lwA2PW4NOT0BMjs9G188PbDLMj3gIyo9MVouPeKDMT0pDks98PRrPTDQyT0jH1U+XlJVPsaaKT5dSiQ+LGUhPstmHD7C/Rs+s0IaPoeoGz6uXhM+ORsRPo+gDj49Kww++ecXPqNeHz6ovhg+JZsdPi50DD5euwY+YPOwPTe/Gz0EUrE8K/qePPIbxjzTqNI8eFbdPAuy0zw8dNM8aofAPCbEpzwhs5k8XqmmPAGXqzwH0ak8ro+/PPs7mT0oXyg+pLdBPuEmSj75Rkw+NTc5PimSMD4/OSE+DhMZPsAnIz5dNyc+W3otPnNTKT4FUBo+ok8lPvQnJz5TjiE+74gOPvaaKz55ZTE+ancuPg5XIz5JKjA+fo0xPsw1IT7cwRs+UOQaPkW2OD5oQEw+0PxEPikkHj5zcCU+FVVwPhofaz4wBio+Mb87PrOKTT7y0ko+gPxCPl/ENz5NgyA++mEjPj60Lz777TY+6QA8PrcfNz7tySU+RvhAPvslSz433kE+wkE8PiD/NT71ayU+Lg4bPmGRJz5GrCY+HboePrs9PD6XVlY+IU1/PtENij6lKnY+idE+Pi2HKT4srjw+wwI2PhKyMz6lGjA+yFomPoBOMD5jmys+3cIiPi+CLz5zJx4+voMUPnaGKT5ZFVE+jSksPtofKT59gjM+DTUrPmjNIT4B+S8+DBcsPiy7Ij6+byM+NQ4sPtLkND5wTz8+KdFMPt2wVT5yDkI+FLQ7Pq2qMz613zs+aM82PjqMNz7eczs+Sh4yPjBzJj54mSY+IMw3Pq2cOT5b8jI+ushEPjN1QT7SqjM+/AE7PttOQz6wBT0+Sxs7Ppo5TT6eeDw+32cyPghDIT57txs+xF8cPjZZID5Fih0+jAQ1Pg4RTj6cT1M+nSc9Pmh9HD7Y6SU+W+AcPgJVMj65Qzw+B8Y+PjKDrD2Oj6k9vNlxPQYWoj3WPs091NXYPcsVIT6qi0I+C7VJPoqTRT5c7TE+q582PhR2Rz6N3jw+nVw1PlHXJj56CkA+2zM/PnU1MT6X0SQ+WE4nPuc6Kz4H2CY+PXElPpQEIj7ONyQ+13ksPoW1HD7UKBs+NiYWPh2LDz687CU+FFsgPiDYHD4X6SY+PlQcPhQJHj6VhSI+eRMgPpGGEz74QiA+J3QePgnbIz7L/yc+Z5guPqxhQT5CPCE+QE4NPmhuGj49GiI+gqQiPj1zFD5nSiE+LGoqPshEKD6jwyI+Uv0mPkOFMD7vHTE+sOQmPqtbGz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+IG5s94CeYPdl1lT1xhp49dCCxPZSgpz0yTKQ9v4eoPa3WpD1HAZs9B0GTPWZKlT0pR6M9VniZPVe8kT0Cz5A9eRGXPa8qmT0WoJY99tuYPVvNkD1XZ4E9095zPXV1fT0gJIM9Ga+MPXNLnj0lvZ4976agPWOpoT22mpQ9pH2MPVgLjj02Npk9UkWfPRSZnT3ZMaI9F9SfPUwglD0aY5A9nJyHPSwVhD2gpoI9SpWDPakhdz3CMlk9EHllPXBHbj17VGQ9TWNXPSWuaD0BoWY9tRpSPRujSz3oPlk9zgpqPQCscT1gzmQ9fB5IPTP5QD3vBkU9HUFOPYIpST3x11Q9w012PdtNZz2WRVg9ZrFRPbY/aj13ll09pftBPWnPOT10ezw9Y45IPcfwUz3gcFk9mQxXPTlQVz1g11k9/QVlPZX5cz1b2oU9H0R1PQyxWD2r3V498fd/PdSekD1HdII95953PYQ7aj2uNFU9gfxOPXjZXD2ZyWA9XzRgPcqmVT1Kflo90jhhPSjgcD29oGM9mOtKPd3sPj2b4jM9R10vPecJLD1TsDU92N05PWrdOD28NEA9+nZAPfZjPD18ZjY9pfUdPaxJDD3f+wg9dpcLPaDmGT16Rhg97PgVPQF4FD2X4Bg9QSEjPTPnJD1Ndyg9ar0yPX/ZOD1ACTU9CYQvPe7eKD3wCic9n3AnPYGLMD2slTk94H86PbvDMj2/FUY9mv5EPdBhQT2YtE89H4FTPbEfVz0MLkQ9ZedTPa4nSj0oS0A9HnNBPeo3Oj0COiQ9+6ImPW8oKT3QPTk9tKw8PQGtNz3kbik9E5ckPVcKKj3oQC49S1o2PQvsOj2jPE09XMQzPbeOOT202S89uUQsPTgGLT0eGDI9JlMrPexBNj30szI9ddssPRb0Kz1BeCI9G8goPfChIz1KYCs9SLQpPQHdJj1yUB89wukpPUzxMT28Fio9F0g2Pd89Nz2sbTQ9XC47PUG/OT174jk9XmNCPXlYQD1okDw9f244PfwpOz1SNT09AZlFPdTFPj0enj49wJdFPThWYT29m249q55SPeS8Oj3+FT49hYQ7PeWrRj3RRTE97OokPUOYKD1ZeDI9RE5JPRq1Rz36KFE9Wn1nPXwbeT3vXnU9kRV7PX/VcT1mYnM9wtpuPZuIdD1Yr3c9dt10Pdl0cj23Z4A9nDuDPfmRjT2Bb4096SWSPflvmj1LnJA9DSWJPcg6hj21coM91tyDPakmjT1ZvJo9QEiUPR5LnT2RGqU9NCSgPW8oiT3y63g9iK2CPafwgj35h4E9/qiBPSa6gj2W9oE9p5OLPbd5nz0mArc9bx66PeznsD2IjZs9p4CePR2ZnD0URZQ9YjiTPbA2kj1T5JE9toCVPacplT2JzI49lJ2OPa62jD2r0Js9s2OgPcjKoj1Dwag9Y/CpPZYzsD3a3MY9avqxPWrbrz3sRKg9RsSrPXiWrT14iKs92lOtPWdMsT2BU6s9ZzO0Pdeetz1507M9l9GoPchwpz0EHLA9bI+5PW6guz0YOrs9ItquPd7UrT2Dp6498rarPS0lqz1FNao9xvaiPQJjqz2KLKg9Y2KgPYmsnD3Ds5w96fSbPVChnj3Pn6M9sGiYPZS+hD2WXoU9JtaGPaqJij3CIZM9+tOSPSj+kz2iAJU9PiucPeAIoT1wGqU9M0CuPTuTpD2nTqA9dH6ePQMUqj0tqp89gKuOPfBMkz3mJJc97o6bPUQUnj03B5s9AAqOPfIyjj29bYY9s4GKPfpGlD3ChJU9dOiEPQ17gz3nBoI9GA5+Pf3MgD2NfIc9BDSRPePxmj0SSqA9og6lPcf7oT1I/qk9RP6cPQ5BmD2f8JI9vQKZPdMkmz2Z9Jo9oESdPVUTlj0zn5I9QDGKPQpkgj2jvoc9zFKFPTiOiT3uPJA9KKeUPU+Lnj2LKKA9UNSKPcaaiD2eQoo9I4WIPXC6hT0KiIQ9vCKMPSaymz0DFag9WgioPXkYrT23T6M9m6yNPcOCiz22KIg9RiaHPWeGgT1j54Y9FmuHPXV1gD22OnI96ql9PfWKgT2IIXs9d8t2PSBdcz1mpXs9JoqDPcPAhj11IJk9EAOWPXwOkD3M/Ik92qCDPSGjgT01j3c9QNd6PaFcdD00S3U9WAdyPWgbbD3CwUs9/4lLPdgcVT1m5lA93eZQPQZ1VD3xSVs9upJAPf/WRz23xE09UplGPShiSz0ttk49CRBbPT+FZj0MrGY9S/VgPUmmTD2fiEQ9GLQvPWW0Kz1v8i09yxY4PZ9aQj1UCEI9HDNFPTd1QD10iUk9589OPVrJTT3W70U9JsgzPfOUNz3ksTM9Ad8zPYQuSz1eD1M9MVFRPVUnUT1ScEQ97nU4PbnCMj1s4DI9oFAxPXYZKz1yiCo9oN0uPXZISD2FnlA9YtJYPRizhz1Z5CA+tJZyPr7Xdz6edUc+pyMyPrdYJz5czBg+B7kfPt83ID5HVxw+NaMZPoEIFT6Bpxg+IHISPkAI5D1Oupw9DQWUPdExvz2h0xA+ZuUJPhJpYz051bY8CcSpPIF/qDzqosU8/G63PJzPtDxIy7g8Nym3PKBfkzzN5nc8Ry2HPAmZnzyuE7A8+/+yPH3uxDxl/oY9J50xPleqQT5x5Sg+bMMiPhw6FD7dyhY+YkksPqSGHT7rZxU+GdIcPjkSIj4BUyU+OKspPhBzKT4sqCE+T+4LPlfgDD7amSo++cMsPlHVGj5GsBY+z8cpPvo7Kz5P4iI+L5cePmFKLz4BcWM+17CGPvIchT5hE1s+J6wyPiKDKj5mwyg+NIgkPkLCJD53zCw++S01PiGxMz4L6Dc++50kPpzfLz4ywy0+82EwPmFZMD6M3i8+H0c2Pnh4Mz7fuzM+8OoxPh3yNT6MsjA+DWQpPsSHKD7c4i4+fHoxPkzKKD7vFCE+XhkiPpFTKD5zhS8+9XVgPnMVgD49tis+AIwwPutLLD7GyTM+3fQ1Pg6oLz6MNjU+Zm43Pn5SLj6Zkik+U7EYPuHfKj5Bpjs+Vb9EPn/FLz5TPyk+YAYsPm9FLD4v+yk+Mi8gPlmuKD4E2jI+PRk4Pka7Rj6+pkI+NFxGPt8LRz5ZH0o+p8lBPh7eQj6ur0E+C3k/PrRuLz4jTi0+QOU1PpkmNj66ijA+MywwPh88Nj6+Cx4+viwTPmBSIT4rukw+FVZCPhfUNT5QZ0Y+VIFMPiRvRD4nvWQ+pq9BPjV4PT7NEzE+m/QrPtULKD7VRSg+DkI0Po2yPD58iTQ+MSY1Pnj5MD7LXzI+NSwyPm+OLD5OfBI+WpLLPcQDrj1SUvk8v+hcPO37fDy0xms8ljmCPKIZpjx7FHM98tUOPkjfNz7xmz0+gKEtPi8zKz5qxic+pvAjPnniBj6zX9s9rWECPoulCj5NTyA+sJskPlC5JT66Vi4+DM8xPj5jJT5L1SU+iaEoPmD/KD5A5hY+SakQPqkSET4c7BU+Kl0ePoekIj5lQxo+frUiPhomIj5HpiQ+L1ooPsL5FT5knhQ+FzctPtMcIz6yGSs+TJsyPmmCMT4qjC4+CykbPsrOCj6rSxE+xLcQPkRWHj4KOTo+u1IiPqYLID54VCY+snsnPgaDLD51PTE+JOAzPiqjMz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/tfOWPSepkD13pJ49ZI+aPTCBnz0F1J09VH6aPfbFpj2nu6Q9s/qcPXydlz0w+5c9moejPb8YrD3lcJQ9RumFPZDXhz1Fpo89tHyKPVVMhj1oQYc9m3aHPZeijD0+TIw9aCGVPZJolD2gfow9zqmOPcWSiz37Los9Ql+YPaRHmj2XxJA9N/qaPV3ooT3ogp49ou2TPVXLlD087pQ9owmVPfx8mz1IGZw9+lqYPYTBkz3vf489/sSMPR01jj1Of4o92bR2PQE0fz1+/HM95uppPdgxXT10NVQ9gbRSPTgbTj0H8FE9p/5MPSi9Tj0wcUw92qNJPcxpRD2hQlE95HVgPdywYD1fkFM9CuhTPcgAWT3mYlw94e5bPdq1UD1i4EQ9ZbtFPWAxSz0v7Us9PZRUPcPeXz0u/mg9efZePUbEVT1NE14990doPbKcbT1Sxlo9fE5cPZ11bT3O1nQ9wVNbPVI3Xj3HnkI9qjc0PfQlNT3ZeUU9sSRcPa4eTj2/ZlY9CTVVPcADSD3TpUA9TF1PPcY7Qz2pv1M99rVbPVAXXz3GIlg9UlZcPb8aVD12VWA9uvtRPd6xRz3S4EU9thQ9PeAwMD1KcBQ9WnASPQ4OFz3gfCU9EVc4Pc2nJD2k/xs9ktAkPZ1pKT3ueCY9yaMpPUH3Oz1AkDk9jjgtPTstJD0QoiA9wy0hPRw0Pz0/lVg9wCJNPZjVRD2m5Tk9UNk8PXRwRT18uTI95uw2PZFWPj0JT0I9umFEPYxrRz3sFjk90s0uPZQ0NT2Mqzc972QiPXX6Kj3eLzA9jlAwPS1ZJT0k8yE9EvAvPRAYQD3aYFA9ZFFNPU6VTD2hqk49u2ZGPahBQT0hljY9THg7Pbm8LD1lbCs9kukrPUvkIz2HRyk9AMwoPb8JJj1+IyY9EF4kPR7IHD05rSA9MiMwPT+FNj1taSc9WKElPcTqKT0PvjM94j8xPVUzOT1DLkY9mbREPU6PQT0fjUQ9pS1QPdQaWT3fnUg9c95HPcZlQD3WRT89PbRGPYcaNT0LQE89rdlRPRfTTT28F1Q93NhRPd+LND30GC89/EdDPatCPT0OuDI9rJAuPcpYOD3WS1o9JEhoPVoxWj2xmU09p01iPVhfdD2RCHQ9lxhzPZlLdz3bmnw9j554PeHAcz0igHg9CFNuPaq+bj3ymHE9MQV2PUGnfz2vDZI9K6icPZAEnz3mPJ49v7KxPc/IoT3BUJA99daFPXBJhT1Lf4s9+KCVPQm7mj2lu5Q9OFKTPY1NlD2QPpo9h8OgPTgfij3Ks4Q9AIOBPeowfj1tvY89U+edPYjthD1Bl5A9bAmJPXR8gT2+Wo09VYGjPRXOoT1gp589+nWQPYLeiz19m5c9hSWRPSdBjT2OrJE9KPmRPVJikT2Yg5I9OgeaPRWNnz2mxpw9he6lPXd7wT3KNMs9scXVPVWZwD1oALc9yta2PXwDwz2vGsc9ZGe6PWumqz1dcqY9gaGnPWW5sT3/hq09LKutPQ+xrD0pW609AOSxPT5MrD1RGqc9jFWtPV74rz2dD649av2nPfR3mT2tWY097ryPPdFGnT34Xao9wKGsPU7Gtz2pzrc9sJSxPY0Upz2Y0Kk9b+ibPWL1jj1pcZY9iaGWPTcbnD0C16M9LwylPd+boT0GVKg9uXWePRLImT1A4589jN+dPbFinj1yspg9R3+aPWW6mT08WZk9eouaPWdgnD0H5Jw9Dt+VPbR0lj0da5w9ntigPe58lD0G/o09tCuQPXAdlj0+5pM9lrmBPT8Cgz1k7409we+MPfGQjj1kbZY9Q8iaPfbGnT32O6o9OGmnPVQ/nD1d5pI9hb+SPZ+/qT1CSqU9QdeTPZPPjz1UL5A9MT6iPTKfmz1p4pA9z1GKPWm1hj1MooQ9YkyGPe+LiD0w44Y9DKKLPY47jj38Q5I9/2uePWzOnT0JgpY9/DeLPSB9iD2KRIM9iXuSPeIZpz3NOK89NJKnPaGMoT0XcJk9zeuBPXCSfD16Zno9oImDPfvAhz1ft4c9/sqJPZHCkj3pD489UomDPQe0gj3XKYM9i/GDPRNDjT3usJE97AWIPev9gT1ivoE94UaHPe6+gT0LIn49pfBwPSfsWj2xPFc9a6BSPTJIUz2ISl09ATFiPaAvVD3vLUk9ZldGPc+FTD3sqVA9Xt5VPeoVVz1q1V49721ZPR8sQz1YgDs9ak5EPbk0SD3FAEg9PuZKPURYWT0ylVM9WRo2PaSoJj2apic9mG0qPaNaMT2hLTo9V2tFPYfLQD2rIk499dxYPYGAXD2/sVg9rDdGPcvfOj0yCUQ9GFhMPediRT3yKTs9Qqs1PeVNMj3kbkI9ah1IPVZPRD3AbjY93NMpPQZHKj2u9ig9w+opPfXYKj1Cwis9VsA9PWZhVD3wSnA9L7lxPUnTgD0tbpQ9c9IIPkyIUT6xPEw+ik4yPuh2ID7rxR8+RGMUPns/FD6qaRY+UJ8cPu06ID6j0Rs+Ac4YPpfmDz75YLg9huMNPcqOoTxSgcg8kfBsPYSm+zwSfq08LtidPNBamTypWJk8MUWoPN1PLD3X7uE9RCvNPTDZoT1l95k8go6RPNVuoDxg6qo8d0i5PEHlwTyqe8g8LXt0Pap+FD7a7SM+4YAXPrL1Gz5pzxw+DiYlPkkpND6ByiI+1rYaPtutJj71YCg+Aw4hPt03LD7B1VQ+HY1EPnmPHD43PRo+cjgmPqNYIT4VyBw+WzsePgSqID6R5x8+cTcfPjLAJT72vyA+Fg42Pk7cij4ub48+pbZ5PqvYNT7Gvyk+Q0wmPprOJj5LXyQ+PuohPgxhHz4RSCU+3n01PibTMT5phDc+AtY1PsWfNT4LnjU+R8oyPkI7/T1DtPE9KikMPiwuKT7d4Sw+JXAuPkFuNj7jVi0+Uw8qPsPZIT72eho+dgkfPsUaIz51dhs+TZccPpxlLT6v7Sk+qdUnPsquOT7IECg+n2goPjSGMD7IjD0+ONUtPlCBKD6xnyg+3GctPmArLD7o30U+91A+Ph+ZNj5LWCw+ZWYlPv+JMj7/qDs+j4MqPmigMz6Wmio+HwYpPvEqLz6M8DQ+xn5APqT4ND4sCzM+5LA4PkOtPT7yiSQ+CbYjPiETQT7jW14+jTNHPpoXPz6iPTs+dCctPmIsJj6Xiy4+bUozPkmTND5PTTE+1KQxPqukQD4izk0+diY4PiO8Lz7iRzo+xDtFPs1NVD5vHVM+oMA4PndVLT4spys+BG0tPrzCRD6MATo+xWM8PrSXPD7r1Ds+wkI3PgZALj7PIDE+bTc4PtCbRT5HzT4+FYgOPtP8Bj5NHsI92zIpPXgyiTwC7Gc8TLVOPKG8nDyeSA89XJLdPfE0LD5TYDI+iMQ6PlIHNz6fqRk+uczWPc6pmT0+sqY9dIfIPdzsFj69Lyw+F0EYPlpkIj5EyDo+9w8sPryFKj7ISiM+WoErPpAiNj4mATc+Jss2PijKMT5lLSc+PZUxPh8qKj4OnCI+OtwxPpt+Qj4k4jM+DrUqPmvFKT71Vh4+VbsgPsFsJj7TTyI+FZsRPjIr+z0lvv499KwRPsw7Gj6pKB0+GlscPlBkHD6R3yo+EYEtProcKz4Y0Dk+4tc3PuH+TD5ug1E+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4KYnT1q2qY9sqWoPd5krz2Chq89VTCrPSvzoj3eVp09pFiYPcQClj06NpY9Y+qWPZ7/lT3I4JA9oayUPVnckj3FR5Q9RzKZPaPdlj1cI5g9EXqKPQzvjD3b8489TEOQPbL3kD3SLo09ag+UPXS1jD2MA4c9zwqJPQeKkT3kw6A9X1icPUOGlz2FOpk9KYuoPc7bqz1VoqY9U7WmPXU6pj31aKs936ejPeiGnT1EHZA94cOMPaEcgD0F03E9nRRuPY/fbT1+alg9sgFkPTnAcj1aVnc9B/JjPTIQXT3AgEc9kHhHPcpfVD1Rl1U9xcRUPaK1WD0lDV49vytSPZP5Wz3IYV49eZliPSnHZT0uyGk97VtkPVmSVj19ClE95/5UPcJjVD0euVA9/h5RPUyDXj0kzV89ncxaPTepVD3oiVI9ObBUPRHuVz1tHGk9l2ppPZ5LcD3ntXE9cphrPQ/IdD0f6Gs9zEFIPewnQD2V/kI9yqlQPSZRVD1S2lM9bJJXPZB0Rz3NGUk9MWJGPdxjTD0O/VE9mYNiPRcycz2bx3E9OXRaPQgFSD2iMUo9VsdUPZ4LWT1wBFw9HB1YPeKMST2kljM9KwcwPbM8JT2WxyM9R8IgPcOKIj3okSs9sOopPUMtLj3tnTQ9DQ05PZthNj0igzQ9vxQpPfzPKD3E7Dg9EINAPYS3TD1bPUc9WF9EPazjOz2Ryj898fBAPYaBRT3o7Dw99JpGPajSSD33CEI9wXBEPcVLTz3XKz49OSArPWVIHT3qQiw93OI0PRhkNj0Wex09GjYsPRYjOz105Tc9sHY6PSHiOj3gH0M9md1QPY4YSz3GXU09z9xKPVpMST2G90M91kM2Pe2DLz379zI9oxQuPUuDLT0eHi498yAuPZSnKz14Fyg9rawnPXiHIj0Uix49YLQdPVyOOT1jEUU9wXkuPUX3LT1aGDk9WAA2PdaeQT2QhkA9jv01PTVfPT10bUc9E81RPW7aST3nnkk9a3pIPQ/zST2fkkc9ijJNPX+MPj2+0TY9GjNMPWVoVT1z0lQ9mzNUPbeDRz3y+zw9xFxAPYkTRz1w0Uk9F01FPWlcQD0RKD496tpFPYvsSj0R0k892aBPPQHiZj0tqGw9lixfPUbfbT1I7nk93BSDPaKbjT1Wt449EwSDPff6iT3As4s91/yDPYXgez1ZCX49K0aOPaNKkD25N5I9gYOaPc1alD1dO4o98IiHPf0igT3V4nw9NnaFPYUaij0xc4k9L2OJPZailz2HaZ89KyqbPSKWlz3D/JQ9crePPccyiT2hHoo9rgmOPSZzij1akGg9hSRyPdo6jz3GOZs9QlaePc7Zlj0ES4U9tNRmPaLgXD1GH2o9/W5xPWcGdD0P0H09Mr6TPVsenj1o+6Y9JwKqPT5coT2bB6E9hPCiPSrJqD0CZbM9j0u2PRJGvj0QfsU9rUi+PUDIsT3y/7E9KJu7PRKhuT1TcK892kKtPZQArj0Sg7U9a5KpPYLqpz0HKa09sIm7PaVHvT0lRLk9SluvPeU+rz17kK89aqarPQk9nz00qpo9UhmfPSNGnz3c/p491RKjPfZYtD1Zv789aWPEPSHyxj0LG7s9+yWsPS0Pnj0zLZE92UCJPQ9Ykz1uD5g9j42gPdZYmj0x7ZI9Dr6WPdc+lz1pjZw91hafPY6Tlz29VZ89dXaYPdVRkT3kg5E9lrCXPSnkmT0Tzpg9gqmgPZtYpj25c6Q97+ekPQvkqD3iM6Q9D7GcPXfSlz25M5M9yGaKPQIEij3z6JA9Ki+WPc6Elz257Zg9cEWjPWgFqj1e7po9yUeLPelfij3cdI49PzmZPSaZoj2UD6895tKmPckTnj2Nfpk92PmiPfEzlz2PhpA9Ks6XPTICkj1zmI09sPGNPWVBij3NgJU9mUedPRKOnD2HsJs9xmOgPfeeqT3RX5E9ff2BPWMhiz1lQZI9EtiTPYetij2Hq4o9N7WVPabRkD1SsnY9ASprPSGIZz07TXk9T3Z8PWSudj320IM9sKiHPcWRij0uuIs9ZpqIPVVChj15/ok9mxGTPbxTjT0EwYs9QCmMPdqJkD3eMH89QZp0PW9fgT0NdHs9+wBqPeNvaz3k7GU9AnpgPVKIXT3HDlY9lWtMPVdEPj1g3jU9RFk7PXafPj0ua1M9WzJpPTyjYj0iW0496EpRPX3IUz2VhFk9kKVbPbiPUz0tlko9Hfw1Pae7Mj2rMzE9G5Y6PfrkMT2U2i09K/A2PfPeOz2Mxz895XhLPQy/ST3XPz49FLU/PT6BRT0RO0M9/MRAPb90PT3Z9z091mdAPWWLLj1s+jU9FmE+PYMQPD2oITQ9mOouPU2mJz08Tyg9QUMqPRTVLT0dRC495zo5PcPWOz0VD0U9Ah5MPUMzRz1WUFg95ip4PXSDtT208OM96qk6Pqh1UT5YyT8+l7cgPoVLIT6W5ic+5ikuPiFmJj7OoBg+mS4aPpYnGz7OoRk+lUsVPsMwHj5ZexU+nx0KPlU9vD2IX4k9oDX/PMtKhjy8F648pQ6iPFifijxx24s8NU2UPIoUnDxfuwU9EyqdPVFxqT0/FDg9wbLOPDPdyTzvpcI8k9uwPJ6Bozz1NkQ9udqDPQhtMz74dDI+eqEVPo6xEj7UNBg+NrIXPnaMDD7ysxI+40kjPmfHLj4MOSE+BYkePhi7Hz7pABw+LjM0PnyLNj6UvjY+uQ8qPjp1Gj5rLyM+QVEhPqbFID7amCE+h24fPiphIT4cWCU+uxEqPnQWMT4h1iY+WLIrPplLLT6Ihy4+G/InPoQnHz5xKTE+XDcxPixXLz42qy4+s9Q3PtajNj6PVTA+gW01PntHMj7nKjc+uEQ9Pm4pPT6F0RI++v4dPsOmLj55wTg+Jx8xPmBRND6s1Uo+0gItPn09KD6Sjx4+8ScdPu0jQT4GFII+CpeDPvvCcj4GVlw+bXQtPpe5KD67ki8+WlguPpZ4Kj4yRDM+Bi8+PqniQT4gSDg+g/UoPlWwJD7zVDM+Zr48PigBRD5TxDI+mq42PiqHQT5EtEM+2cBCPgsPOj4eUjQ+0uIuPmqhIT577Bw+bowrPpJQOD7fAT8+pZs1PsH3Lj5cGSw+uQIgPitGLz4PBz0+ED5QPsaYSD6Y30M+CJxIPjFjOD5/rTI+g000Pj9/Mj6tpTI+Myg3Pg6GNz6tNDg+7otIPgbARz4ZcTs+OYA5PgiuNj5YNVE+inRjPimYRD6yiSw+CSItPrSoSD5j6lg+tNxJPtG1Pz5q+zQ+Mn80Pvg7Nz7ShTM+hpAlPmYLKj5pYEA+SpVBPuLfPD6XI0Y+xeBDPgxUHj5N3wE+a3XnPQ1ulT2Ortk85qBAPEc3WD2t2yM+URNGPrkoRD7KGjk+AxgePpYW+z3VfQA+YB5KPtJLLD7SexA+yX4lPkpFKz7R3zE+1EAfPj2TJz7tjj4+w/g9Pr9PPD6tCCA+GEcbPq/TGT4Fjxk+1FEhPq7gIz7A2xY+u90WPsJsKj4e8j8+Sio4PlVuKD4U1yo+bmQaPp4LFj5mjjE+45Y4PpbLDT6dyPA9M5snPgbMRD4q1Cc+nyEwPkyMRz6sZDU+oLEtPhs8LD78Ay4+WX8zPrEgQj4t01E+HjBYPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/Pf6M9n8iqPaQ9pz2hJ6U9eiSePVzsnz2h3J09Mc2cPZE6nj0h5Jo9RliQPaTejT0n6ZI9YiiUPSUomD1ncpg9luqWPer8kD3nEY89vt2LPfxnjj38C489Qm6RPWuekz38BJM9KOiPPYGnjz0Rt409M6yIPb/vhj0AOYg9iGuZPYQJmT16+pc90dSMPSuzmT3Nvpw9ZAigPdcKoD1pAKE91RicPWrilT15QZM93iiMPT0hfz2bqHo9ppFrPf0vVD0lyU895e9KPf1nUj0jtVY9c75tPZcOXj1EJ1U9iN9KPY80Pz1X10Y9zwlHPTS5Sz1tj1g99HZWPXFxWj2e1W092LljPcP7YD30WUw90x1PPXuhUz0mnFY9SbpdPcvoVT1yt1I9X4laPdEbbT3fqoQ9SWSMPef/gz2Sa3I9J41zPXcIdD3N23Q9GghvPSaqdD3Uhno9imd4PbMzcT2YznE9Cu5iPYJyTz0BKUs9klBIPUk6RD3JiT09KRE9PeB1Tz245VU9JD9UPYiIUz2/+1M9r/lIPXfPVz1wT2I96VdfPR+JXz2Rc1s9nrpIPSADXj13zmw91VxhPViNUj1sszo9WiMvPU7RMD1W4C490Rg6Pf9HQT0VCzw9Zf8rPY4HKj38GTI9RVw3PQWXOT2WbD89prBHPfq6OT3Lf0E9L0FIPZSCTT0uAEw93hBZPQzCUD2N1Ug9QT5OPaOoWT1QUFw9cIpWPWdhVj2HqUc9hYdMPRgtQT1rdz89Kys8Pc6sPT2N0zQ9hkU3PZWMRj2deUA91x0uPUZiOj2Fyjk9D4E0PQwXOD2IKTo9209DPU+9OT1LeDM9JIRIPaFbUz2im1E9+uA+Pc9jMz0CvDU9QQYsPezGKj2mRik9EHEoPVLkKj04Si49KA82PX7kLz0HXyI9CQcmPQCAKj0MUzU98c1BPbpjPD3LwjU9CNM6PXAfRT3qqEk9qD09PWy5RT1bgEY9FqZFPSHBRD2YKUk9QZJNParBQD0nND49ScJIPczMST3jHD89Jb1PPSu2Tj1jM0s9UDlPPReKUD3xrkA9nhNAPSr0PD1Q80A9+W5MPeFTUj00xVU9sjhJPaFQVT1Cm2Y92vppPWRLZT12ZWY97r5uPf6LaT2jCW0904p/PS8mhD1a8Xk9l0SBPRZmgj2jjX49jVCAPVgvhz0JlHg99xaBPVEPjj30oZM95ZWTPcr/jT0CDZA9oBiVPSHdmj2hTI09BuyDPWRshD3IqY89+gqQPaKziT0w9Ys9na2TPaRMmj1leJ89iumSPQxujD1GwY09SsybPattnz3yOIk9fzJ2PQv/cz2wf4Y9BM6EPcP+gD0eBW89yKhePULZYT0RC3c95hCHPerYiz2MzYo9QBGRPRromD0jdZ89QjiaPY65nz0xv509OfqfPTVqqT3KCa89XTW7Pen3tz0L77Q92LytPfystT0NyrE9NZi1PQWZwz0tpcE9a1WtPZProD2i36k9TP+pPXVzpz08YKg95+6oPdVtrz0OBLQ9lXSyPRsytD0wHrY92bW2PdeQtz0Y17M9KFisPedepD3HfqI9W7+hPaVNqD2eP7Y9iGvAPb0btj224a09ZSilPWNgkz1UzI09c2eZPTxyiT2CXpc9Lf+YPfn2nD3FGqM9H7akPdsomz3ZFpk9TBKYPYcIlD1n3pg9s/ijPXxvnD2WipU9nC+WPXWgoD1+NK09RzupPSzQpj29VaQ9yWGgPXxqnz2NY6Q9l3ymPZn9mz3VepE9z8OPPXGQij2xl4c9yAaMPZyOlD1IzZo9noCgPTK7oT23dJI9DuN7PfL7ez1uXIM9YiyEPSUXjD0lY5I9wMWjPWUtrj2aLKk9UVqlPXIRpj3SIaE9KKybPbLspD34WaQ9zFymPR/rqT38EpU99SeOPeSvkT0fhZ09gB2fPSbcnD0TlpA97bWCPVIKiT2rc5c9BMaXPWdUlj3TTZA9V0uLPTkcgz12n3U9xQptPVtcaz3n7G89em94PUZncz3u3HE9We95Pah0gD1RboI998mFPZKuiT1HYIU9yIuOPTKdoD2VtKA9vz2cPc/ZlT2L24I99rFsPcPdaj2hKGs9vvZrPVbtaj0IL249xCdnPa+CYT3M32A9v4lcPXAgVD2ZrUU9g9hNPfAqXj1PRGI9vMJrPa8MVz1uPVY9QeZXPXN4VD2jRkQ9vjo+PckEPT0Jk0M9kRs4PQOGJj0Vpio9hhQsPdQCLz0y3DY9zwExPZIjKT2vnSk9ZiczPYRAPj0fSDA9pSYrPRLoOT3okDg9G8EzPUhzPD2sR0c9zXlDPUXEPj16pks9NIBXPVkYXD1CY0Q9bII3PYA9Mz0GRy89XVQxPTCJLD3Lqy8993MyPT5gNz0MBEA9K61APbsYQj277Do97YBRPRcbWj0xeMY97ZQMPmqTUD7UEE8+wDw4PplWHj5kOyQ+ZDgpPlorKT5tRR8+AWQYPnQ7Fz61LR0+eV4bPk5+Fz78qRQ+kU8ZPlfvEz5GOAQ+YYfSPVuDqT1NmKQ8YrhqPLSWbzw7jok8/jOiPLdspzzrgZ88oIm7PJp13Txyl8s8tmekPOD4nTzX+qI8DUmoPJoRqjwFG6s8+H3IPWIRAT6Z81E+sMZAPrhAJj7fGhY+f4cbPvt/ID7Bhhw+mHcmPm5KMT5o9TQ+SI83PugOND4UXC4+O24ePlv7FD5B4hs+LdUXPjBkGT7QRx4+xcEjPocrFj6qIBM+avIbPlAGJD6R0CQ+XG4sPqq0NT6IJjc+138fPrPdIT4tTiQ+SNYsPgNAMT4GaiY+VGgmPis/JD77aSY+aQUlPqcwKT6xPTQ+TAQwPolBLz6upjY+FLQ2PhqRNT5TKDU+aT4lPkuxMD5ZDT8+8+Y+PisyPT5jxzI+NG1GPutDLz5HWSU+27chPi2xHz4UWTg+6dFSPmI4aj4cApM+FUyUPhvqWD4Lgjg+I/s3Plf5Mj6gljM+yLQyPkrdRD6najk+MWZDPuAgRz58GUI+E5s8PllxPz7ma0M+ErMtPgMTQj7jYlU+vwVQPr+jOz5StDE+jLoyPtFaND4uCR0+U8cRPkssLT5RwDo+vK87PsImMz6OqyU+HEcfPim7Gz5NJi0+M4U1PmR6NT4rtUY+DqVJPgK4Rz4S5zQ+wqc6PttESj5kvkY+smU2Ps0NND4kaz4+4HM5PlWzNT57STQ+xwg8PqovPz4QlEo+V2RsPiLvgD4Aglg+86k8PmKSOz54ikI+noxAPrKcPD6ObDI+JW8xPupcND7pHzw+/7wvPjgROT6CKDs+nYBBPgoEPz5gezU+6CozPlKnNT7l7Dk+4LM+PhOJIT6xDhI+xTGWPR7bmzzacVs8JTryPeX8Uj6eNkU+PFwlPoQ1Kj75Uz8+w9k+PhbRNj50Di8+UPElPqdTOz7Hz1g+CYg8PtHLLj54LC0+HOUrPj5ULj5E8iQ+U80dPt+uKT6F3Cs+S64kPihhIz5kFiM+bKkfPgruIz5ZVi0+H3c3Pg+YSz4my0A+6hgqPoyHIj6SSyE+pVYpPrkMMD7ZxBQ+plADPlC5Jj5gOzY+wx8mPpwHRj4Ap2k+nVsyPjMVKz61rS0+En4qPgm2KT5Doj8+fo5VPtchbT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8kxJ49aFacPecLnD1+OaY9SlCdPTcjlz3+jJ89Bb+gPQpumz29K589GJahPYE8pD2U9aA9JlWePaRDnD3G7JY9fPOjPW9jnz2iup89CpmfPWVxlj2aOJQ9PjSQPQt0jz1hrow97jeNPRW4kj3CEoo9bM12PcrZeD04CoA9x2iHPeAdiz06u4Y9aHKBPZcdbj2tSYU91+aOPZmAjj17bI89432SPR0OiD08+Yk9H8qGPalGhT1U0n89YER2PQ8zcz3lG2g9yYNUPeWVUj0fOFE9LjJJPRYuYz0XMGg98uNSPZc+RD2yeTg9TixHPVQEUD01+Fk9c8F2PQawcT3EHF89Lx1TPaFjTj0P6Wk95ARyPSmCcj0NNHE9mw1rPRAYbj29AGU9QLtuPRqsgT1BRog9HZOEPes4ej2O4m89SSJvPfNceD3BunM93PVyPS/5eD32s4c9yRlqPahbVj3G3kk9SENCPZ5KUD3PTlk9Sa9OPdbSUT1171Q9lPBMPS28Uz3t1lQ9Ux1UPcOjVD0s7VA9kpxRPePpTz1Gi049cR5aPetpVz3xuFA962t9PRmUaT0VWGA9iI1pPaT3Yz0mslc9LUlKPQ0rQz3QxTQ9MFsmPWLVLD19YzU9pCc4PakrNz1ArjY99SYtPYR/OT0JnVU9ZJlePaGbUz2sCUU9jOtJPVtwPz1wqkc9fk1MPdfsUT1Ig1A9EIVCPeXKTz27H2k94hxsPUExTD2vdVM9y+JEPQ6uOz0OFzw9wa47PZ2gND2VHT89j5hMPRGzSD0JqU89pjNaPfw4YD2cgEY9vuhIPfkkRT0OoTo9c5lFPdJvSj2FPUM9l79CPVJhTz0uV1I9O3NTPaWfTT2S6kY9r4o1PQ98MD2hciw9MbgoPUKQJj3u+Sg9xVMqPf36Nj1xcDM9wbEqPS9lLD3l0S49LKI8PcPkSD2XTz09iK00PR+oND2eGjs9rxRFPf+ARj3mZ1M9U3lGPQSdTD3DL089fIdOPb/rSj3xnT498olJPRPYUT00v0w9kBNNPViqUD2+31E9VaRUPZtCUT3BJFE9bjlBPdSzPj1DcEw97dtTPczJWj0Uf2U9PAxzPVXMYj3qTGY9TEp+PTnKhj0Zv3w9hBlpPVzfgD0AuX89yZF7PeZ+iT3mP4s9sWaGPSX4gT3l7Xw9FL51Pdkdfj3ddYI91fd/PeVqiz308ZE9EXmNPd0Hkj1oL489cDSMPe91jT0dMYU9tB2IPVY3jT1Ggo89Fp2RPayzlT22CZg9XzePPWO3lD1tL509YkujPSl0mD28Z5I9BtKXPYISoD1dvpw9xPiWPamRjT2KBoY9H+97PVz7Zz02PVc9P2ZWPW5UaD2w7XM9uRt8PdUXij2KrZQ97eWUPQNMjD3sLY49HGSQPZ8qkz2GDJ49GsKfPYgmoj0+xKY9ek6sPdkotj3uH7Q9DEWzPSg+tz2PL7Y9S7y0PUEmrT1zkao9MT+oPeo0nT1iGZo9FTCgPQR6oz1tEKw9GYyvPcgxrD30Qqw9hjKzPUIruT2xf7s9Xh2/PYgiwj1lP8A9avC8PfQUwj2JmrQ9X8ixPUEMsT0yVLY9LGy6PVe3wT0oXbg98TWqPZRxqz0X7aQ9hA2ePSJCnD0NkJI9QmedPat0oT2y56Y9ke62PRF7uD2Gq6g9Q1OVPYZBiT2clY099Q2VPaGMnT0q06k9ZwirPVtGoz1dH6I9YF6kPcwlqD2S+JM9SrCPPUaNlj1095493AWdPTqYpj0hn6o9CD6gPTRnnj3laqM9TT6fPRWNlz2VUZU95fiPPSXcij0184Y9mj2GPXAkiz360ow9hTWTPa04kT0btY89qZeOPSoxmz26g6Y9/uSsPf4UrT3NG609fc2kPaYHoj2MhKA943igPSVMmT2zR5k9wM+QPSCWkD15WpY9JN6aPXOnjj3yNoo9R9J8PUshij1oj5E9tk2VPbUykD2gv4k96WKIPaXZgD3UdnQ9vPx9Pa0Xfz3QJXo9rjV6PYulfT0ObYE9LgKGPQrAjD0fqI49aoaOPcJbjz0MkpE95VqRPdwZmD01qZc9bTyWPTPMkT0Y3Y09iq15PVIeZz39P3c9WM1+PThzgT2iBXw9rTl4PQQcZD0b4U89q5JOPZ3TTD1NB0w91jRRPY6VXD2pgl49/RBVPXtgSz0gVzg9+Cw7PR5cNT1LgSo9gS4xPS/SLz3DaDc9eFtKPTTGPD3+eio9JhEpPZyaMD3HeTo9Z4E4PahEND1NqDQ9G0Y1PYYPNT1pYzc9u5VDPaVpPj2sBE49DZRPPaL/Pz1XQDw9x5lJPXdVST2tIUY9KSBVPQN5Wj3dn1s9usA/PZsIMj0hMzQ9r+kxPWlDNj3XzjE9zLYnPYwwLz2Frj49rLlTPVjgWT1vqFM9vQ1HPcvYKT1bByA9PbeUPdXW4D0eTCI+1g89PiZBWT5m+TY+qhApPtn3Kz7HECU+am0fPkngGT5EURo+qTIcPvJlFT5PqhE+T9MXPvVUID7e3xc+dk8NPvGEBj7ZZgM+12mWPRJhqjwLVD086wl/PGWekjyAE5U8pQeYPF2Tljy3UJ48V8imPEdepDySF6Q8I6WaPO/FoTy7VaE8FM6vPGv0vT2Z8jo+olNrPt7HnT61Voc+nic4PgmnFz5+GxQ+x0wUPgsaIT7Gpy8+iAVAPuhGOj6heDc+0h0wPqJ4Gz7nvhM+VncQPiWzFz74Oyg+2iwuPo1FND4sgSE+tBIfPod4Kj6J0S4+Qc0rPr5eKT5Yfyo+imUuPqX5ID6KWiY+pk4mPhqWJj67gSU+bVIqPu3DHj79IyY+RXwrPi5mJz4JWig+bDouPve4Kj4Y5Cs+xkMvPiZ3Kj5zlSQ+JrYsPnnsMT51jCU+WXY4PsSlOT5ubDI+31oxPlsONT7dGyg+sQksPkAFND4o9jI+GF0zPsq9HD4X+Bw+hAgwPot6MT40dDg+HkVBPozSQz5/qjo++2k4PgTaLj4SmzM+AJhGPjvmZT6wPEw+9CNGPkR7Rj78njc+UTg4PqqdNz74EDg+d3Q1Po6/MT5CjCs+SNA5PopoRD4wgDA+sKolPrtbLD6XdDU+1EUyPoP2LT4Lnzk+0e00PmXSJj6tdCA+7wo8Pgr9Pj4WVzw+NKNGPk7LNj408Cs+4YgkPu0CQz7tCUc+X3dGPsNxPj5/6T0+fm9BPtRxPD4yHzA+WJszPh3oSD7C/0o+KpM/PmUpdz7XCII+HTJ2Po2wfj4c1nw+7GdkPqdiRD7Ddzo+Xbk8PnFFPD4nnCI+yXIuPkDPSj6XWlc+e5VYPuXASz41aVA+1vtPPjnFSD5/lD4+GopAPsPxSD66pjo+Ll8zPp1vEj4SO6c9pZjtPCT0nj1yiEw+e9tOPsXQQT70UDM+7P80PsdLHz7JczM+hJpAPq4pQD7EQTw+Kq1QPm00Oj6K2i4+IU0nPsd/MD6tmTU+0BIwPubVJT4IHSU+7QQgPjWKHj6TRiA+ud0hPs99Ij6sohs+nVIlPrfkND6TnD4+ktExPtPzLz4EYjU+rZo1PmtaOT4PQ0Y+fpdRPm5XSj6f1jY+Lw0rPtydHT6DZT4+6sBaPrkdOj43Yik+HJMuPn7+MT7qSDo+TnZGPqlDPj6Hak0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/z6KyPeUJsj36HpY978mfPZRPnD1u2pg9H8igPTzMoz0T3pA9CeWLPdkjnj1qb6U9otKgPdccnD277pw9Ey2WPar0mz1IJZc9EFeYPbxHkT037Y49t9CQPZ0Rnz2WkpI9YfqCPbN2gT2y4II9peuGPXgIhj3GL4k9gHGOPY6Ehz3DbYE9izp4PeDEcz3SuG89wLZvPRKShD21JYQ9ag19PdzPdD0H5XI9kvxrPd0adj15vXE9Sq5mPb0PbD0bMWY9uutgPQUkTz0y7kM9ZPw9PZOiNj0mXj49E6FPPd5hZD27wkg9cyA/PWD3Pz04aFU9nRdiPXuIaj3GPF89XcBbPV3MWT27LmE9YhdqPVwlYT0cml89WlRiPb20cT083l095s9nPYLfYj0Q0HE9BdKFPaBqez2kWHM94ESCPZdOiz0LvmU9NsZNPRNhSz2gh2k9aGRwPXWnVj0pYkk9j2BIPeTqQj1I8FA9k79VPXAoWD36gF09LqVcPQ1YST01rFM91L1HPSVCSj0sKFo9s3hfPWUlaT0WrE099YRMPS2QSj0A5Fk9/Q5kPSAbYT3ed109rjp5PRDfcj0jqlM97+FAPZo8OD1y8jY9F+M5PXzqNj1R1Ek94zhTPVD1Uj1VCEY9tUlGPYRhSD1/Rl49Pb9pPT7EZz1CB0g9w3RNPQA7Sz2a4T89Y+BEPRsASD20n0o9cjdnPem9cD2rcog9NxCDPQfmaT2xElo935dIPfrbQT002y89cMo1PR06Tz00UFk9tYFOPQKeTT1/I049Z3tOPRdtXj2/AVk958Y9PWXbND2KHkg9sNhQPSltSD0rkUg9E0ZHPYAzSD22wE89LpxGPdKnMz2QlDc9Afw/PZsAPD0pdzk9BhAyPVNXLT2zzjQ9Cs82PaJJNT16AEY9fpFDPYp8PT07qzw9bu47PSkyPz1PTUA9UgRIPS/VPj3EJCw9Gd8yPcS7SD2+H0491xZOPdOIUj3Na1s9tcZPPcq4Pj06lUM9/XJGPfUEST2slkA9k65EPbf1ST1YM1A91pJcPY0lUj124Uk9XyVTPdhvVz0Zcl09ZnFhPQy1aD3W2HU9XqJwPdi4Zz3ArV49Fh1oPZsCfT2dRoI9qFl+PZYLdT1/ZmA91o1oPYdTgT02DIk9O9mGPRh9gj2OcYg9gLmMPReqhT1VlXY9gtd8PTHBhj15aH09zBGHPc9JkT3xFpc9aSmXPdrCmT3sP5w9YVqJPdnfgD2tQoU9DamLPd6IjT2FT5g97aWrPV7xnT2Qhpc9tcicPR+MnT21m5890IejPfsOoT0h+JA9qNaPPXAslD1giY89+uGMPXcUiz2XRXY9rjJoPfjZZz2zCHM96y90PReCfD0+XYY9ixSIPfPViT2N7JE9eniWPbBhlj3bW5o9WE6gPeFomz2YRpw9armpPbhnsj2+TLg9CTW+PWU4wz3UKMA9oDe3PRWxsT3Dha49s1WqPWqWpj3RG6s9W8+xPa9joz1m3Jw9l8ukPSdnqz0Hr6c9yYWnPUQFtT18dLU9RNutPXN/sD0tcbQ9Uf67PTPpvz19/7o9mNutPWTurj39NbE9hYq1PU5Buz0QsrQ9y12tPQJopT3f4K09ehyxPdWvpT09WKg9Vb2vPWg6qz0gXqk9tn+vPR1CtT0vYMI9aY2rPfsHlz1tL5g9fS6gPfPdrz1rAa89Enu1PRvPoj1HiZY9LPCRPSnAlz3JvKw9NU6pPbUCqj06b6w9+aSqPZ8VtD3JyrA9j5ufPXuslT163Jc9o5uZPU6ukj1iB5I9+kWTPW21kT39qIs9k+CIPWLphD2O+YM9ZIGMPTzvjj1N5JY90F+aPZdpoD2jwqU9gECuPS6Usj1+0qM9jFSZPR9AiD37AII9oKqLPaqEkT1QTZg9ckeePW8znD1Ol5o99QqXPUDFnD3p75Y9MNyQPdE9kD3Rg5E9VDaMPY2Xgj0nyoE9Pv59PaGSgj3qIoA9PapxPU0sdj0qmX49ViB6PUiHej3j1IE9ht6GPQqrhz0ETJU9O3WkPYM6pD0bQJs9uWOaPS3cjT3AsIo9yIR9Pb0ShD0ZVYU9RjKLPc35iT0JYno9pbNlPXWfZD0rSF4984hMPYbcTj0JuUg9SYpTPSikXD1g2lk9SCVYPQbAWj02aFQ9ZEhKPbgARD3UpEM9vbFJPa6tRT1JtTI9HaUpPVvZLD0LSys92MMqPR/9Mj1F5i49bYkwPZEAQD1dklY9SQNOPQcPOj13uDE9Xh4/PVyUQT2LrEE9XF8/PWzHUD3yE1c9oyZcPcKlXD0fr1E9Z+ZDPV+IQz1cdl09vGNdPXxPUD3x50E96Rs9PbXWMT320Co91jMuPR2nNj3HcDc9NUExPcwWNT2WRUo9LtdbPUvXYj1xZGA9Js5bPdlwNj0/iSI9USg+PW44gT1xtwA+21EgPtAYRj6cel0+Xn06PjlJJj6ZuSU+ggUkPhLjID7wlBs+jnwePomrHz5RwBY+n08RPvVeGj7dlhs+g9wVPnzfGj7Exxc+3bEQPirm/T0zykM9bZ13PO7alzxywJ887GSsPC7uuDwAUK48ej6TPFJaiDwbdJM8y1+XPIwcljwy/5M8gevYPGHGqT2sYC0+ifw6Pi+0PT6QI0M+oJI/PthCLj4sfiQ++c8ZPgwZFT7yDDs+cg1aPndpTT7cIzw+IjYpPjnIKz4o2h4+qGscPtlvGz4McxI+tmgePmJ2Iz4pRyM+Ch8ZPrjqGz4rhCc+qCU1PsZeOT6awDc+XPA7Pn6VPz6dHTg+8g8yPuFgOT7SrzU+1DMpPpTyHz69XB4+FeYwPvLvQT5xlzw+06cuPqhbKz51BS0+ZBAmPg38Mj4hxjM+RMEwPjzmKT5kfDo+WqgoPq/AOj4H+z0+in87PjVKNT7gcDA+AsY4Po53RD7va0Q+AGVEPo7vLj6gpRo+JRcxPk4qLT6xmzA+UyA6PmjpMz53WCw+M04lPuJJIj6N2yg+2B1NPq+gTz6oGFs+47pUPvdVQT6dtEA+Bq85PpwJOj4y6jg+FTE7Pn01Nz5ChjM+PawzPiaIPj4AFyY+a7IdPl6TLj4qE0M+1x5GPq5fIz4XLRc+gyoZPj4iJz7O1yo+qlUvPoPbUT4GVSk+2lQfPq4OKj6BDTA+Io4xPjAfLT51ji8+y2YyPg1aND5cQT0+4QdEPjRgTT5hrko+ZXg8PhGeMj5S2D0+pZdKPmP2Pz6+sjk+6+pTPqf4Yj6K3XE+6MBjPrWvXT4OiE0+zFNBPr8AQT7wBVU+NiExPsuVLj4bFjY+SSw5Pr+AMj5K9kU+ovVWPkrFUD66WD0+KNkyPkHqMz4FaDU+Zw46PlWBNj6CnC0+CikqPmTpBT5G4pA9KSkGPjWhQj6EjlY+68U/PhdIOj6pgio+rBhEPlDpUD4zikM+SKo1PipwMD683Sg+rmQuPrlCMD7iMzs+BLs3PqLKLz623jI+v3ozPlQKNT6AXzE+tgcqPgSnJz4eySk+hrUcPlbFHj6Woy0+ZMs9PvIYMj73njk+8/sxPmKJOz7KZFM+LklhPvIeXz45DU8+2Cg8PsdqKD4YTxc+8+gLPuxMOz4QsSQ+XcMfPrSVQD7D000+8q9JPmMhRT5pplE+bIdwPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8qBpD1evaQ9koijPQz5kj0klZU90pOZPdstgz2ICnQ95092PZaOgz1VaoM9ItSGPbMOjz3esY89eduPPZIhkz2Zpos9CQGKPeDEoj1mf6s9UAiqPUOYnD3Qm5I9pCWUPUnbjT1AkYc9gAZ+PQ4bfj3sz4w9PNuXPa4MmT3L74k9uEiOPSk1jD0+QIQ9mhp/PUzcgD2Clnk91DR2PT31eD2o2H89NB14PaayaT19goA9NwOPPSd/iz2U4oA9I65vPdZiVj0Rhzk9+Pg/Pe3EPz02xjo9o19EPcoSTT26i049erJVPUj8Yz1L7Fg9Zg9UPZvsaD3xO1g9LmBTPYZnTD1FrlE9chlbPRegXj3vsGs9q+50PSwccD1kM2g9CYZlPW4ndD0w93M9G9mBPT17ij0E04g9X6GMPc1lgD1INYI97IdjPcYCWT3QV1o9ithfPclrTz2szVQ974RcPUDkUT3VoEw9oABVPcatUT0INlQ94YNSPVAzTz37/049YSdPPQPyPT07wU09DERoPdIJcT0IMHc9C29YPe7vUD3BrVc9NedfPd/iaD1W0Go9BFhoPYOnbj0KM2M90VBJPS3zRz1stUk9WwBKPdxXVD1yBU09bdxIPUH5QD2a/zk9zCk7PSueTz3d71g9wRRNPelRSz0rFko9WRdJPUxKQD3yglE97B0/PUZhSD0IWV49g5VXPXcRaD0UG2w9Kr1tPdQTVj3gGUY9s55FPXolRj24vEg9dD5DPeRhRD2oflM9S8ZPPYXcRT2dWlM9IkBZPXcuZT2cUVw9GbxJPYlGPD12GTc9PRU8PaTvST2VHk49kAJaPannXT0VaUo9SHJMPer1Nz1jrjQ9PF9CPR0MQD1HWUI95U5IPSSjQD17bj89wWpIPY2MTT1L6Uk9RRVKPRHKUj343VI9PNdPPdTdST21z0g9hyBXPXp5ST208EY9lZhZPUZbXj2wk3A9xNJvPfAxcj019Gw9ZVNyPTDBcj2FqGc9PQNSPVcXUD3sFUE9BtVVPR56aT0/ZVw92r9SPZtHUD03EFo9b1xUPY5cWT2rCls9xVdfPce0ZT3or2I91H55PUcQgD0aCHg9GM9vPSGNaj1iR2o9u2dwPfAIdT1kuok9Wp+FPUC7ez1QI4I91siNPcJBhT1hSnE9X9iAPdDplD0o1og9/uiDPT1LgT0DAII9j9yEPdbIjj1wJaY9pAe1PVpdqj0YqaY9LmOiPYT/lT1CPpg9aimZPWQkmz2lHJw9JbmgPVHepT3Vtpk9ueWSPY5XnT1Shp89RICYPbYykj333Io9c82RPUubkj202Zc9J0KdPVC6nj3DGpE9/32DPZrMdz0op3w9Ntx7PWrwfT24k4c9dN6SPWWLlz3zkKA98UGgPQAyoz2g66U9/+SmPc6Crz10vrE9CcSuPaZWpj0FaaY960eqPdR2sT3bHr09lsi6PSZ8sz2OJa89LRmnPcgGnT1JUKk9NJqyPf97rD2OPaI94gChPUqZpj3Ampw9WUecPeWYpj1V0bM9cIerPdmjuD2SsMA9gv22PWydsD1kX6k9OM/BPTTtuj0mu8A9wrnOPQMZ1T0fKcs9aBnAPYL7wz0pHas9pGWnPcOVrD022rQ9iVXJPfA61z2uLb896me3PRYgvj2mQso9s/a2PUDYnz3qVaY9nYGpPaEupD2AlbU9jyK3PdHgqT0wcpw9K/WWPfSUmj1PYqQ9GOSrPQElvz2P88A9y9e2PQb8rj0afKg9QIKjPQW1nD10Cpk9UneYPdjClj2mep099qifPWK3kT3WA4o9AZaOPa6tlT1F0ZM9jcOXPY4Jkz2QAJg9LNCiPfzJpT3OQqg9ONOYPX1Ilj1jppo9LWmSPeL5jj3A35E9u0SZPb0ZlD2iHpI9GkaQPWDjlD00NpY951iWPcu2mT0N1qM9le+mPb9hmj2ZZ5U9ugyDPRIvdD2OtGU9+6J3PT3whD3s6oU93WeCPQ4XdD2hHHM9rp2BPaJMhT0lHoI9XG+BPQIIij1UBpE9LB6SPeSljz1u8ZI91/yWPZ2rjj2G6os9EzGRPVgrhz1MC4g9a7mEPbi3dj2P+Gw9ir1dPVJ1VD1VIFM9IbdRPUR3Xj1Q+149OFFSPbUoTj3RyFM9G9ZUPY70Rj1ODEo98AlVPQ+cWj3SOG89779gPV1TSD1mMC89v3szPfrWLz2NECw9olMqPQ52KT1E4C4937QtPXN8Lz0+ST09tFpGPYOpQD2QZDQ9Yz47PYN7PD14nTo9QARAPSNKTT2BPlE9PJldPZoRSz3o8FY9VONfPdjwXT1FNFY9Z8RTPZiGSz2EfD0963ovPVakJz0/9yo9R00ePSNzIz1r8y89C54+PXiSSD1PAVQ9kZ1kPXWTbD1lV0Q9LNMzPUykNz1oO0k9LMs2PbFLOz2GI2U9QSXkPbXSDT4sBl0+rQJIPoPXMT4fxCA+8GknPotdKD4eOyQ+0kAdPt44FT6DaRQ+X50ZPuNmGj5RcyE+hHYcPoaYET6ZsRI+bk0GPgaxmz26Kng9Yp6XPKJzazyfR388Hw2KPCiEijy3xpM8OJmOPDCOjzwYwow8TrWPPMGZjTyqapA8eGahPPzYND3MCgw+SSYqPu9RET6aGBM+EmcbPiLJFT61GRk+rxEkPnM2JT6M+B8+4bUuPvz1Vj6jhFc+w6sfPj+6MT4Z0HY+M854PvWxXT6mjzo+0bYzPjXlIz7lwR4+KsEiPnh9Jj4YTxo+tJJQPk2JXj4ZaEk+61ZFPtWxTT5XGk4+xKVCPnTJJj7VKy4+d6QqPjnOIj7Flh4+/TkbPs68Lj5yb0A+Vf80PnrdID48Cx4+0kszPnfEKD4+EzA+WXAyPnqDOT70bTA+vyU/PnZzLz4PmzA+V/MzPkoKMj5xLSE+9MNCPnAVRj6nhDQ+Hk0sPlqRUj4Y+Eg+e9QsPtzBOT6N3jo+T1w4PoBRMz5j+jg+DG4jPlGmIT5v9FE+mjlgPskDVT7T4kQ++lE9PvXcLj7uOSo+WRQ9PrVKSD5Ak0k+vbE/PtSrPT4kDjk+zFIwPhUyLj51rjM+Q10sPkN3Mz4iQD8+OIg8Piw9Oz77aDU+hvEkPhK4IT5N8io+xAQ6PsomPz5jcUk+nO87Ps0THD7VRSI+ylQzPhSgNj5WhDQ+fF4qPtYRMT7bYjQ+JO0iPrqYOT44UUQ+gbRjPtdEXD4UqEw+oKZAPnnBPT7w3j4+H55CPkYoVT4Z6GI+3mNlPgnMXD7cJ1g+9Oo+PgibKT7S+T8+NMNCPhGqQD4dzDs+gWMnPjQIJz5gbTI+hG1TPqrDWT5lC00+5R84PiJdKD4u9Ck+ZrEuPsgQID5dfyA+sEskPn9XIT7dayY+eRMmPqRKPT5l8VQ+wN9MPrGgQD7kF0E+GzI1PhZnMz5e9jQ+Ez4yPl9OLj7Hki4+1Ak9PjFrLD6BOSA+ucwsPqtGOD7FQTQ+fx43PgMoOj7c3kg+3/VAPveAMT5ZOR0+gnguPk4wQT6ZQC8+h2koPrewQT5XhTw+nNgjPmeSLT6yxDw+8389PiDVLD7rvTQ+Kos/PuRaPD4BNEA+thI+PmLqPj75ezg+8oAgPoVmOT6Ntj8+Vj9BPpd4Pz7+zTw+0GZBPk3DPz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8Okp09//OPPWPrjT2AlI49KXSVPQuciT3Vcns9XI50PcWNcz0LrX89zjiKPaeyjT17LJg9ZECPPVaZgT2pmoM9zTaMPTIQkj3SA5I9GuORPbImjD0Au409IqGPPaUekD31K4w98TWZPVG2rD0xeqw9BJ6kPS55nz17Ipk9w02MPZE2hz1OfIY9knaFPcQSgT0Tcno9qSN7PTjleT0nOYM9x+qUPZLXmT07kok9B9+FPVHykz2YEo49ZJCHPWHLcz2+uXI9lxdkPWJ3RT212jI9LBg1Pe7fQD096UM9uM5TPc3EUj2Va1w9OZNcPfWqWT2uk1s93gxTPcC9Tz0PPVY9blVcPQonaz0TQm49sc1uPdADYT2hHmE9VNdrPcLlej3Jg3k9XjVxPXkWhz2mFog9jheFPZaLgz3bslw9ailFPUlcQz3QQzY9VMQ0PSPKSj34UVk9NdJaPaMrUj2JT0w9yRlGPeoMUD2rWEs93tNFPRQZPj1yUz49KGU+PTFjRT1udVU9PFdRPdTcVj2t5lc9YshbPedcUT2Gh2M9hThxPRa4cz1R1Gk9lahiPZSdXj05LX89UgB9PSUSbT1Uj189UFVMPaLJRz1ovzg9nBsmPbzoLT1t3Eo9xpBIPabOST0rGWQ9QG9nPd4MUT3O+Ek9kbtePTRaYT1bj1c94TZMPS/3Tz3HjEk90VBIPYgDTD1sylY9E/BpPYbLWz0M3kc9llNVPbkJYj31I1g9J5FSPa0rUj2m6lY9iLVCPXROXT2Wrlg9iD9RPTwHVD3a3kk9TCBZPVyMTD3AqlE9SpxPPejiUD3BYl09XKtbPaM5XD1S2FE9XatBPXgROz2t9DU9T+AyPfkXNz1v1zU9+dcyPTUgOD0TwDU9mXguPUiwNj1zSi89t9guPfJrMj3thUQ9Hy1PPdQ7RD3vRT09Znc8PU65PT1b50o9jUZRPeNAUz1jeVk9b8BmPaM4dT0dSGA9qX1PPVlDZT3g2HU9MV1vPUecWD3vbkk9XVFWPe90Wz0HE1Y96R1KPYwiVT32SmA94LNgPQvUZD00uF09GIFQPZltXT0o3Vw9aOZiPWhyej0oM4Q9NkuEPcURdD2UuXY9a4N2PbIVhD1idIk9Z7aJPfxbgz2uvIU9jsKCPZ/ggj3FDoU9bax/PfqNiD2D3JI9BfqOPd3ijD2W6Ik9rhaJPVVllz2WXJk9dGOcPbKynj2DT6M9dr6gPQESnj31Dqc9qtaqPcKIpD3nIqA9lmeePU/AlD1nUYc9lw2IPZ/IjD21yaA9RbixPWq4sD0NeaU9F6GePUE5nj19H5Y9eACWPQ4Alz0u8po9992cPdwcmD2NfJI9f9+KPVtjij2DZok9yGqKPXaAkj19UJk9Y82aPaS6nD2txZs9obGgPfHCoT1UGaY9Y+ymPY5prT22RrI9lLS4Pb70vD0B47M938fHPQG0yT0AZ8k9DiPIPRgbvj2VR7E90wioPdMwoz3SXJw9qBORPXvnnD3DW6E921abPfCYnz19AKE9lPyiPQgXrz2h1sE9LVO6PbF2uj2mybw9iKW5PSfEwD0ascY9BcXGPfmgyD20ecs9MIzNPYJAvz2aDr09dPXAPeDwxT2up9M9/xfPPdVayD2ebss9INfBPdaRvD2ZA789BY23Pa/RqD0DkLM9C3GzPXFytj3w9Lk96FquPQB0pz0k2609cTCvPbvMuD2p1r09ll/EPY8UsT3Dq7U9dUStPaDupT1OLac9aAuhPYymmD0lTZ09UoeZPYgOmz0Sr5896EqgPRdBqj1Dra09A/iqPbgmqz12l6k92d6nPWhTjz2Rr5c9VxOZPYIUkT0085I9YlKTPYZcjj3p0Zc92nCdPUXJmj1BNIo9nwyHPUPHjD00h5Q9ENedPSxBoz2XyLA985msPWDypD2Ibp89ey6WPShPkD3mV409rMOLPcflhz2j5X09u/SEPYKWgz2HX3k9dcN5PReVdT2n92w9pQx3PZQnhj3ozJM96XWKPfVgjj1b3Jc9Ux+WPYNxqT02L5U9QpKGPQyuhz0mAYc9D4WDPe0/iT2cVYQ9y0JyPc7ZZj2X8VM9rTpOPRLARz2G9U091rNiPR5BXT2ONlk9tCxMPTxTRz1aOkQ9QiBAPXIBUD1EwlU9Wq1bPWfuVj1hZVc9Tm9TPWZhQz3S8jo9TA40PYEINT1hUTU9qEQ7PZSfNj05rjI9NJ0qPSMkLz254Tw9gdc2PZ8LLj2v+ig9GyguPWTNOj1PEkI9GDVKPbpNTT3rPEg9CWROPTkTXD10J1g9S3dcPXLFUz06x009gOZHPRqHQj0NN0I9mQIyPfqTLD2/TC49E5cyPXFxOT1Yn0w9ABJRPbdrXT2fUF49mA8/PbftLD1KZS89LE4vPfXtOD0ebDk9DFMsPSVUNj16Zlo9SkxmPXdBqz3mlQY+/LZAPmoESj7a1z0+Y30VPv7THT692CI+x0AjPrGIHj7Wahg+1TIePv77GT555xc+hhgYPjvaFT65bg4+icYNPvFKwz05otI85OqFPNvDZzz/dnY8RkKBPIQnjzwg2Jo84fSePIEHsTx9hKk83lSgPH4dqTyMfZk8YtePPN6IhzyLHo08OQh2PX3gCT6uAC8+dqYgPlQwHz5j1xw+YzwVPm81Dz5hwUM+kLV6PjEvZT4i31Y+o2SBPosbNT5q4Co+2YwzPpw4MT6WriM+vr0tPurWLD7x8yI+U4YrPrQ2MD71FC8+WUYiPnhYPT7GWTM+JDc1PpxdPT6oCTs+kcM7Pn7hOj5apCc+50MoPltLIz5WFh0+2sEbPnLnIj6VnCY+8gYwPiN7KT76OyA+/IwdPgBBJT7zISg+L8wvPqkkOj41tjo+aIM5PuQ6LT7VxSE+pAw0Pr2lRz7D1UI+zQ8fPtP6Lj7vjUk+QwM+PqZPNj7W5EY+uc1BPseoLD4Jcjs+fLFDPjrUPz4JWjw+ZbA8Ppc0Rz6/HEo+SppPPkqcVj7Az1Q+vQR1PuQfQz6wFDY+NJ83PrUrQj5L20c+67VbPs0iQD6V8i0+ZnovPuy0Kj5uESc+hrEpPr3kLT7ADDk+3O4+Pu3eRT4ttkY+mu9FPu2vQT6FbUU+wM8vPpL8JT7Ooyc+U/8wPgCzMD6x/SA+go86PujsPz4BhDE+OsouPuq/Hz74Ohg+2LkuPpnxLD6pGjE+DHQvPsbhNz4ErEs+LclLPoH+Lj5G2zw+yAREPo5sTz4/4U8+wY5vPg44gz6h5Fw+QVVQPsGsJj4O0ys+s1tGPv9YTT7/7lU+rTRjPrxHRT7p6hM+ajsfPjqYHT7YrTo+8XY+PotfOz6eSzQ+EDk6Pg1OOD4N1C4+nmc3Pj9vNz598iY+yZgePvoLGz6fzyM+aSAjPgVJLj4NH0k+A7lMPtiQPj7uslQ+7b1DPn93Kj6mgCQ+wTRUPikaPT6a5ik+IfYqPprQNj7ObTc+nOEkPnL6Kj6kjzw+phs6PiVLLj5PuSk+sBEnPpAIKD7V2jY+A6dHPkw3RT6rzzc+ztsxPm+VPD4OLEw+H0NvPg5GYj611jo+CDEtPl6zQD5WET8+DVo+PiLdPz4WxkQ+HdI7Pq98Nj5KfSs+xcQgPmW7NT6Vi1M+0o5TPngBQT6ozjY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/dd6YPWxClD3h6po9o8SbPXXrnT2noJ89aL+WPatqkT0u84k9s3KJPUApjD2zxJA9eGCRPd+2lD1OJY49cZGHPWBoiz0AkYo9miqGPewQiD3qVI89NlePPcEDkD0sdZY9jEGdPRkWoj2waKg9OMKhPRaumz2r0Js9VjqUPXM4gz2tboY9yNKMPXSzjT2dToc9okGLPd7skz2NDo09eVGWPR3Skj0mVIU9JmWIPXzEiT0DP4I9oVF8Pa29eT0Ponk9tzhxPcdfVT08GU09fbdEPfxzQj1aQks9K6xYPXZVVz3G+1c9liVdPX0fVz2lpG49tnlqPUKBXD2TOWw9WlBvPSEPcz0mNG49r+NkPV17WD389lo9gcxhPXvFYT1m22o9KhxzPdU7eD3kLoM9I5ZwPWadXj2Xc149CnBcPaZBUz1A3kc9qphEPfFESj2Tk1s9kW1nPS1YUj3bb049hlpMPT53VT1nn1g9+Pw4PfccRD1ZxEs9A3lYPdNDYD0VOmQ98MtnPXRjaj0KRnc97kt1PXTKVj1U0lA9aRBkPSXidD2+vWo9KvxiPRsEaj27fmw9EbNtPUXQSD2/GD09HJ00Pa5HOz3cVTU9MWsuPZzCJz2Wmy49OIs9PXDHUj3S+Fo9uc1YPc1jXj2IvlU9gwpcPRcVXD1vUGc9BB9qPYdWZz3l20Y910FGPVU4TT1Y90s9XH1OPVVHUj3VOFA9Vz5CPWTDST2xUFA9s35PPfdkUz3OwVk9haJUPakIRj22n0w9TQdNPXG+Tz0MuVU907xRPdh5PT0wAz49UHRFPXtMRD3DuUE97ORYPX4WZD2LD2E9LJJaPdWUTD0mIVA96+tYPYXYVD2jqkc9/5g9PTgTOz0QKTY9KxEzPeWbOT3vskA9HtQ4PZ2bNj0rhjU91HI0PTcTQD2Ntkk9UstIPeeFTT00N1o92dBSPa/IUj3MF149UHlsPSB1aD28Fmw9XVVaPY5GRz1cuVk90ldePaugYD26BWY9gOJaPfDbVj1qLGk92nFxPaOMcD3dHHs9jMhzPfExdT1qc1499gddPVPWXj1WanA9Rg17PZRPbD2si389ArqEPWY4hT1nfnU93AWAPUeKjT34N5Y99gGNPZdygz2cVX49OR95Parfgj11a5A9HsuQPafmkz1/pJU9jE+ePSZPkz17Q4s9A3GLPdiPkz0pw5Q910qMPRN/lD3bc6I9O/2aPeCykT2sNpI9jTidPSlvoz2/dZs9Jj+YPaDxkz3aRZQ9nEyaPQRGmz3KOZ898xuiPVokqD29E6c9GLCePWY3oT1s16M9YWKgPbVnnj3Yl6E9GLehPdrroj0XhKU9in2fPXY7jz0ahIE9p1CDPepWhD0al4k9EAqUPS6Skz1ZD5E9psiTPfXQmj2UKqQ9PcClPZu2rj2ydrU9nHKvPSexsj1u+cg9YO/APewyuT1xu7g9jZXCPTWWvz0YiL49a7KxPVeopD2nC5s9DhaWPbdykj373p89Xn6iPeP/pD0UvK89+WuxPRu9rj1zZ6o9u42tPXr2rj3ZTbY9Oj6uPS5otz1TV789xSHDPRBsvz2eT789M3K1PbsTuj0tELw9E4+0PdNLtD1IArI9DbizPW8Xvj3++809jM7HPTdRvz2qOaw9JE2pPX9nqT24dqM9iS6wPdg9rT0e7bA9gUC9PVNtvT008sI9Zbu/PVW/sT2v4qg9g4+iPa3nnz3Ah6E9JBymPVxvqD2A4Zg9tR+TPawHkz0DL5I9Hx6SPSt5lz3UIaI9nCiiPYXDnz0cf6c9YX+rPS3DmT1+x5I9THaVPemylT0kh4Q9bTGMPeXNkD1yKIg9+d6EPY/pij0R0I89nD+hPQxrrD0draA9T/qTPSyLnj2I2aA9rKufPSYyoj0b3ag9MxWqPd0OmD17gJQ9v4SNPU8xkD1q8JM9Z/aKPY8ugj048n89Z6B3PWLjgj2Ty4U9ESmAPZg/ej1kHIA9yeGIPQ2sjT0J8pE9d3CVPUORkj2s8o09HmaNPd6YiD0N4IY9pnV9PQuSdT2pP349jRx7PfmQfT3AIIM9baV0PUNBaT1cA109EvlaPToGZD3LtWs9hUJlPcxJYT2hslU9qcVTPcqdTz12/049SXpAPWfXPD3l0EY94MtNPQ/qTj3Ud1A9qFVSPTFfUD1MpT49tH46PfgnQT3n3lY9VX43PV5NKj3IpC89+/8xPWbRMz1iyjE9ouIxPYhVND1Ctjc9fYk5PdEVMz3E1zg992ZLPXuyTz17gWo9/mB0PZwOcj3y8WM9AyZkPXXXYT3pCD89Ti42PeaPNT0heCY9mqclPUbUKD19jDI9dhc3PVdxQz1Csj09+MxBPeudPz2e9UA9TmM/PX/gOT2Xdi49Q7wyPWrROT3Inj89A81APXLJPT0UMTg9YS1LPVWwcT2o02w9uuSrPQmdyD1F0UE+yF5OPmAlHj6jQR4+i6QlPkwsJj48uhw+NHcjPqXzIj41JxI+HLkVPvCGFz7d3RQ+cLYRPmnECz4g+5U9FYKHPGHpQTy/ZWY8drp5PMgvijyUppk8p8iUPM6DkTxaGJE8RpiQPJwbkTwC+4s8G8CKPBKVgDxrLoY8OJeVPPMwwDyRep49gh8SPtH5GD6nmxk+6OkcPksqAD5Pqqg9gA8UPmCgDD5TJfs9UQbyPalQLz4SUiE+xawhPg+QKD42ySk+iXYlPgm7JD6JRSQ+H64gPgFrLz6I7CU+E9QfPr6GNT6nBjw+248bPr/0ID5j0ik+m8wuPhxwLT6fjCI+FQkkPsOyIz5nYSY+6GUiPsdkFz5N7iE+bYQpPnvbMz46fDo+ll8qPopaIj7tDik+NNYmPphoKj4WFTU+DIs+PnogND480Bs+IBUqPkxiSD52HEc+JOdEPvDSIT640UQ+V/lFPiXbRj53I00+4IVYPg1RSD6dZDQ+NjY/Plk1Qj4sBkE+eNc8PkjvLD5avyg+Fd1aPs+8Sz6wcGE+6qNsPkMleT7UcGU+N7pMPt0ZTj74DDw+EDM2PpWdQD4Xoo8+MnScPvgJVj7d2Bs+AXglPi1LNT56lkI+QdlIPtn1RD5tsEA+fzNQPsJsUz4yZU8+IJNFPgTxMj5TCi0+cb0sPn/8Lj7VCjM++BAcPqAILD7Ssj8+iyI5Pt4GNz6GQCo+1/kcPkpDLD56mDE+XbAkPt8JIj44TyU+/Os0PkQeTz5GXE0+nGo2PuemNT74K0M+OIA+Pn8UYD73PHI+MUNQPqaCNj6dHTI+Xnw5PqQYKz60ASE+Hls6PsutLT6zDiQ+9h0QPrnNDT7H0CE+UHAlPneoLD4HgCo+rvIrPmPZQD5w3C8+8y8vPq6MNz4VSjQ+UskvPoofMj462Cw+glsoPt8SIz4tsyo+7Us5Po0fQz7Otzo+JLFCPq4jMT7kfS0+OQgoPkYqRT5eI1I+yT9APuTJLT4lJCk+JYclPhvJMj7GGj8+Tck7PmGNMz6oUyo+wf8oPjirJz5c7C0+jE46PhkDST6PgFI+jFBAPltwPz6X6TE+wOdRPnfOeT6mHH4+IupBPgiuKz6zOyI+gx8kPq7iJj5wHRw+OBE0PpMMPD7j5Rw+PJQuPiEcOD4KCkw+gK9UPnLsVT5rgEs+L55JPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2kZnT3C2Z89WAqcPf5moT06LqE9NP6cPWiBnD0JQZw9k9eiPf7SpD1CJ6Q9UMCiPaenoT1Q3ps9CauNPdH9iT0L4Ys9IWWJPXfxjD2e9Jg9CF6aPZJjkj1q05Q9Xt+dPe1Moj3aSKE9OrKcPZMclz3O0pQ9Wt6UPajQkj3nrYo9J6eGPdpUgz2X8Xs9PpZtPTokhz36jo49EZSHPRXYhz08SIQ9L2+CPfOoiT1yCIc9IgiGPXjrjD19Hoo965mCPdFXdz1qd2s9pNB6PUpfdj2cTmI9z1NaPRxSWj1bc1k9HuVgPcD+Yz1R9V89OcdXPSNoUj3YI2Y9wS5wPX24YT1Vb1c9skJjPc2SfT0RknE9gkNiPUlyXD1iE109QSNiPVCdcT1l5mc95EhsPV7yXj3lhko9STVJPU/CYD1rXGY9DPVZPY+ZZj0Kd3s9KqV6PYAcXz1E6WM9T/hdPQ/0TD1AqEs9IHVLPSoiTD2u80w99UFPPVPyVj0FfVg9j1FgPZptfz0Hdn89cY5wPevtYz2SbGM9X9FhPf6hcj0rkGo9yc1lPQmNYj35MXk9jM15PbNJcD1MIjs9GJ0oPWbgLD3yA0I9PY09PdPNPD3SOkc9SsNBPRSGRT1c+FE9OGVZPWswXj0FXGk9knRnPdtxVD0MHUg9Jx9FPVpPSD3FZ089VHpAPZ3oTz3U9Vw9XOZBPY9iQT0NC0E9y/lDPZT5Zz1hUH49cJJZPUOSSz0BFkw95cFQPfcXUD0LsEM9UzxMPRcsTD2X3Eg9S69KPY8UTj2e/To92mNCPQ+yQT3zwD49uJ5BPb8cUD2Agk49cUI+PWdjQD0Y6EM9ajNGPVBLQT3pCUE9vnFEPcdMSj2RTkE9Its4PXUSMD2/ekc922dPPcaGST2nH00964dPPZMJTD2C+1M9lghWPfR3WD0WyV09GlNhPYeTUj1XNUw9xBxaPaRgZT0MR189sUdpPUMydj2rqnI9BtV0PdQzYT1Ax189hOFrPdUOYz0uvWc9/CVqPSZ/aD0yzmE9oWNmPTS5Zz3oC2k927JhPTXBaj2JfHY9WkqJPYQvgT3ry3Q917h1Pd9ecz2fMnk9AGR1PTlSgT0T+og9ojiNPZYzfz0WnXM91HZ3PeQThz1UvYw9+GygPW/aoD3tF5g9AnKXPTdJmD08tZM9PTaUPcWUlj116pM97r6TPcGalD27q5I9E0SWPf7/jz3gx5A9Z/KRPTZ5nD0Z9Jo9MPKWPbTNmz0NX5o9wXadPZCZoj15UKg9viSnPawfqT2UUqI9WtubPTZ+lz01G5g9QzWlPa7crD3nLqw9AHayPSACsT0oJqg9f5uePY2gnT1fsp09SNSVPV5Ilz14RJk9ibWSPYe8kj0nWpU95CubPQydnT3aVKE9N76lPSpuqT0VwKo9lFGtPfR2rj35Hq89lZW2PX2ZpT22eag9BO+rPTRaqD1cn6w9vvOuPR9xpz0FH5g9CKqLPbrOiz3ssZA9w0WaPYDQmz2BtaQ98JOtPTM3sD1TSK49RvWqPU0OrD3F5rU9zOC4Pa2uuD11aMI9/wDAPSKVtj21V749LVO1PWH7qT3ZJqw91C+5PemMtz2cDbU9Pc6/PRIdxz2UW8k9mfHOPZ4Nvj3KSqo9Zb6tPdcPtz11xrk9sba0PRrRtj313ac9EnKrPbYJwz3GxMk9r53DPa99sD2fZ6M9sC2XPZ2amT1erJw9w3iyPTyIrD3KE6A9X/qUPaUmkD2OcZM9GEuLPfw4nT1s2aU9hVGmPbgIoT1YaZs9dYOYPaBGmz0PAJc9XlWLPacTjz3ZZ5A93OKLPVPXhj201ZA9ewCUPcCgjz19upY9C/mZPaywoj36bqA9VyWrPQr1sD16XaY9/wymPSBLqD0L66U97/ygPcMToz0YfJs9ZO6YPQVflD2Yt5M9XM2YPUfJlD3aSoM9KaeAPSiXgD1acY49h2+SPXomlD2lhIk9mgyPPTUUkj00TJI9gaSLPa/viz0kJ4M9tnd9PUb7ej3ud249J15kPfQPbj1aiW097bZ2PWLWeD1yFHU9uURnPcZpWT1b62w9ZoR3PUHqeT0wm309c4x0PdELeT0zM2o92KhLPQfZPD2xnDM9j+FAPddsOj2sXUo9dFhZPfSjXz1b3lU9q5BFPQUrSz3ZpUc9ukQ3PdrfLj301S895Js6PcemKz0XrjI9r+5FPRliUz1yeVw9sy5QPUoLUD2/S1E9F91HPdZ5Qz3U1jY9BdQ0PYLNSz3aU089TAtnPRqkcz3YYnY9f9xcPbXTSD0+6D49TmYrPeMKID0mKiE96E8mPRt8Jj2ZJyY9vyg1PQ7hOz2SLz098OFAPa/6Tj1qAFI9VZFEPY+jNj1pwzQ9BHQ9PcPRQj10/Uo9W0dVPVwJTT2UiUk9U0E/PWAULz0NgCk9Ho1FPdAtUz33CFM9uahiPZZ2mz2BLdc9lTUjPl9gMD6S4Ss++vknPh+7Ij4EQR0+t1sXPoSrFj6ofxU+Qe0TPlZADD511gI+S+CEPZr5gDyZFV08BWlgPHNzazygfXk8UkGPPKjsrDzuwKQ8otKjPJ3sqTyz86g89devPOfNtjxQ5LY8IJS4PK/3wDzvWM081e7sPD87NT0oW6M9porTPZWoDD6hu+c9fL0qPSrXSD3+Xu49tlsSPtOwFj4ZmCU+tgMZPgFJJD4D1Ds+6RFbPgZbZz4vykY+zts0PnrUMD6Ygig+reQcPjIhID7gszY+iL9APixZST6o+To+QAYvPjibLz74vTY+FpkzPk/rJD7BKiE+5aMnPs21Jz6aWiA+KacmPnIhLj6kFjY+G5A1PpUaKT765Ck+kDsnPhJPKz5PZS8+CXswPn3LMT61Qi8+g6MQPlJiLz7SETo+GQEkPjF3Ij6GgSs+L3NIPrvsRz7IUEU+F05JPuEnWT63PU8+NCtBPlg2PD5PU0A+IK9BPkJkPz7MvjU+j2IxPkNOQD7p4Tg+FuE3Pny8Nj4lKzc+lYpePnM2az4q+HU+U1tRPtsOLD5laik+tQRsPhv3mj5gYmA+6oU+PqTwRz4vp0Y+X78+Pns6RT7QVT8+cu8sPidDLT6jXzA+lmNAPiY6Qz7y3jk+ujI3Pk1FLz7AiS8+TvY3Pr7HNT6QhR4+4lwqPguuUT5pxFE+Dt82PvASKD73aTQ+NYExPhJ1HT5cbSY+AU4sPhIOPT4xFEg+3hZDPhCGKz4l3ic+EXsxPqH+ND6a+zU+72NBPq4fQT7wLTk+jb0wPtTlLz67MSw+E6YlPraIND5Lmys+7FgvPr3hMz5pSyI+QbomPtXaLT7FBx0+FOkgPphrJj6GmTQ+LZJHPstdND6jky4+MBMsPtp1Iz5lVis+qrA2Pt6iLD7AdDo+nU9FPhwDST6T4zY+ae0nPnxiKj7BxD4+bvxEPgyUNj62bS8+6503Pjr7JT68zR0+E+4lPhCTOD5v1jw+8ncyPnBbKT493Cg+CockPlCvOD6PlmE+Y/QyPuXEOT6rWzs+Zzs/Pvz+RD62Fkg+9GU5Pht5QD7wGEs+HV1KPiyzQD4Frkw+BDMpPtQ6ND65TC8+G7QmPgxTLD4nZjc+MSgiPg9TJj5wLTc+PfA6PpYPOj7WWkU+OYRCPnJ1Nj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8VhaQ9vFSuPScfvj0AxsI9qBu9PRZ/vz1HYcQ9XAOyPW6HnT0Va5c9RCWWPbmqlT2IfpI9mqeQPTLOkz12fpo91h2dPSJDnz0Ccpw9xpqhPUvLoT0I/aE9NGCbPQK1mj0Lg6Q935iYPWR1lz14HpI97SaMPdBhkT0OJpg9g1SNPcb4ez0aXnc98Wx9PYhdgD1p7Yg9zEKSPRPRrD15y5k9vJCPPYCDkj11j5A9Je2GPdtokD0/TZE9TT6KPdpphD3kkHU9LGOBPcHJbz0hdGA9C8NSPUEETT2rRVI9c0FOPZNOWD27O149PLliPb5qWz0JwVo9haGAPR5ocT2tGWY99E1hPdEFXD1TA3U99dp7Pfm8cT0z52U9eQtiPVR7YT0VZWg9r7RmPZaDbT0F33I9wvJ7PYZnfT3kQnU95tdxPaYMZz1xsGY96+NfPaWNWT27cVY9BIBWPSAEVz3k/1M9ihVaPTVCXD32DWQ9pn5XPTj6SD3/GD49zC48PWKDUD1azFY9kfNwPT/Xgj1+QnM9IdN1Pc08dj1YR3M9+vpkPXKTWT1fFWc9VH99PZsYXT2Ga1M9Csw1PTjoMz1vqTQ9+KI6PctTOT2wpjo9B9xAPWKeQT3gHEg9V1JSPUYrVD16dlw98LxXPScKQz01STc91htGPa3uPT3gDkQ9w4lGPTmiQj0Ndlw9IapgPe8mTj28hUc9ov5IPY7RUD12JGE9MlplPQTMTz3uvk89o+JOPbeBRj36JUs9YmtDPRwLRT09wU49ZZJTPZhyWj2PZFI9jSk4Pf8gMT01nDM9fa4yPen0OD2TaTs9xb0/Pb0vSD0cckg9ecpBPaxeRD3paEo9mhVLPbJHSj1lsEc9W6ZHPfb6QT3lNEI9N4ZUPfDFXD0yyFU90gBXPQVAWz0oMFs9KUNVPUgRWj1gtl09RARdPerRXD3qIlo9JtxePUXBZD0GEWU9PG9fPZGPWz1O9FY98TFmPRzOgD2qFnk90VFsPQqMbD38/mw9UX11PWY2bj340HE9XvlzPVlqcj1Y02E9yUxwPcFKdD0gaGs9DjVwPQBhdD3WA4E9gISCPYuzgT0Z3Xw9lqqCPfhRgz01uHQ9L3tuPcG6gT1WDIc9tgeAPSF9gD3uj4c9RW+QPdAklz3Qy5E92qSUPauukD1ST4s9tzmKPbEGiz31Wpg9/a2YPcTrlz0dt5g9L96aPWM8mD3EdJE9qkKTPV8EjT35ao49A86SPWTrkT2xeJo9EbmVPe1Hkz1/qpg9UIGjPRuPnz0UHKY9nMimPaiapD3PRKc9IY2tPVq5sD2i4q89VKS0PUJosj3j7rI9jUe2PWRtqj360aM9dNOhPX6ilz009I899DeTPYK9lD3WVI092jmPPWj1mz1fnJ091V+fPVo8oj1KrqM9b5uePXqcpD2Aeqk9wgKuPVdxsT1AW7A9lDmtPbk1oz1dkaA9rWWcPTQGlT0uz5A9MM2QPTFOhj3n/II9dj2FPXuzkj1+oqM95ne6Pecbuj2MJrs9Ts29PdHIuT305K09oOOpPSf+pT1/uqg9j6S0PdRHuz0X3649DEqtPdpjrz2NQK09aIerPa97uT2OYbY9rsurPWrqqz3E+bQ9Vo64PSwQtT1jLLk9spy1PQfftj1ruLM9Yl2vPQxhrz1MG7s9NMi6PWE7tD0A/L09Yr7BPRB/wD0Vpbw9ETerPcPLpj1iN6094eKpPbEBsT3Pf689hPmhPeq8lj0jjJI9P0OXPbpimz2OELI9H6WwPRwApD0VUp09qliZPcscmT1+/ZY9uzmMPSO7iT1FbpQ9HL+aPcG6mT2oP5M9r6SXPStOlT3ZW5U9roeVPXTnmD3HCpw9jD6ZPXR1oD3fgLM9g+iePXjMnz1TPKQ9AAOnPTieoT2Rk5Y9YmOMPUrjhz1LC4495uCePczPnz0sepY9GaSJPZ1Pjz1LKJQ9H9iXPTyskz1VWpM98o2NPcraij0kl489H72TPcISjD2b74A9s9J0PVEkbT2Wu3E9D653PWr8bj2PIn89K8B/PdfYgT0SJoQ95Bh/PT8ygT3ZZIA9qdt8PSMBej3mkno9tzl/PUa3Zj0MTlo9eQ5WPRNYPz0tRT49zGw8Pc+AQz2yGEM90U5cPSslVD3Nlkw9/uZRPeWbTD0QnUM9o6hLPd75Pj1a2jM9Peo2PdM3OD3tPz893cZLPcsKVT2IAlk9r+JOPQ6NOD2Qm0U9u0RNPZWpOj2o2zE9uY0vPXQdSD32W1s9GY5fPUqgYj3+AFU9J4lMPZwvRT1jxDE928IrPUTaMj1taB899gEZPbEmIz1fiiw97mEuPYHmMT07dzY9Oq03PZ8jQj0QuUY9tU9EPb3nQj1KFUA9nQs/PTyOOz2IgTU9hgYzPbZnOj0jxUM9+JxDPcTKRD3X0Tg9y5k2PbKYSD2QE1M9tak7Pe1+Jz3UTw49QFo3Pbv8Bj5U0js+fbwePsuoFz4Cig0+HfsiPqkJKz7EvxI+nH4TPt08ET74KA4+qvUGPnkeXD2yz148FUhjPMZZZDzIRW08ViGNPEKSojwteK48Xwy6PA7kwzzaY9I8HdTIPEPxvzyChMg8q5LKPHGLxjzh2L883hrFPKEP4jwFheQ8Y4oEPYHTNz2dM2U96oZPPVHk0TwJDr080HG3PYhQID6Puyg+/YYsPitKIj54PBE+Tg84PmnISj6TN1E+tlU1PhtzMT634z4+d7wsPjlNJj4kcyk+Z6YqPj2dOz4rHks+bYZNPtaxNj5+6Sc+deAwPpxwOT7fozY+QPI7PtbNKz5xwCE+30oaPhUFKT7FWSs+0WQuPoSxKD4mqyE+Pp8lPvNhKz60dTM+ARcyPvjtKj6q+SU+CdApPvNRGD5QiiM+Cgc0Ps0uKT4wQC8+hAZCPjfETD4o9E0+23M/PmTNRj66Tkw+SyNIPqh1VD673Gk+YGZYPtlXVz6Sylk+NnFTPtlgND4V2Sc+BCMxPjR3LT7usjM+PEQ2PqVlPz6Xy1Y+w/FbPsb5PD6v0SM+ScMgPss7Nz7wzm0+pK5zPkVOTT6fXDg+wBQ3PmXhNT7pEDY+Q5MtPoZYHD7Q4yI+22gqPklRTT4pZUY+kMcvPkMkNj5CjDs+1vM3PqtANj6pEzg+cIMePsnRJz69/kY+iNI4PqoaLz6VgCw+ycA6Pu1RNj51aiQ+F5A6Pp3DQT7iZ0M+HooyPu+pHj7kIBk+5809Pu79Qj4P/jw+yeQ9Pnd4Jz4jtDM+kHRaPnMdTD583T4+7rQwPu0UHT5cvD8+kc9IPuU8QT63kDc+LAoiPpUEGj5Fpys+Bi4tPlSSIT5EWyE+MCowPiVCNz6rHzE+e4EnPsD8Mz4In0U+vx85PuXNLz6GyCs+WOA8PsvJRD7u9Dw+HpY3PgpcIT7Xexg+EGNGPsxrUD6tlz4+5406Poe2Oj7aXjA+0oEdPghUFD4sBz0+PEBKPimALj6HISE+/7k5Puy3Nz5nwzQ+3MY3PgKoND5vYjg+Xa4wPmPbMT52ezM+1chNPp0mVT5RgU0+urZXPvieQz5JDDc+fzwrPsSgEz6uNhU+SXUTPlGZDj7z5g4+9P0QPog/FD65/Rc+1GcaPjjwFz4RzxY+xe8hPvPCIj7Hmh8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Y0nBPW/Zvz2IGbg9GhWvPULqqT3KBKw9iPWxPaUzpz2HK449ii2BPUlpdz3Lxoc9u5mZPUCFnT0vPbg9E16wPasHqD0pMq098hapPamtkj1xoY89pRGWPSIylj14cJI93HubPXi2iT1SFYI9oXCIPdC6ij3b9Yg9TduBPVjPbz12yIg9n+WDPeNygD0V/n89NfyFPSqGjT0td4o9Yp2CPQfCgD0n74M9mHCIPeXefT3GbW89OzVmPZmIVD2Mv049fTZMPbfyTj0JX2E9YOVmPRxNaD0Gims9uDJpPfLcWD2b01g9BH5RPQiIVj3ttVo9EIxePY2EXj0BlmM9fHRwPak5cD241W49w4VXPWMRaj1riWg94YxCPTqXQz18oGA9y/NvPU9zgT0fs4E9OiN5PRHOaz3N02E9oKtfPY+cXj1WTWo9qgpzPec2WT10vkU9iktGPcXUWD22I2U9zQ5rPcrIYz1zalc9mLRXPTxXUT1dCVI9CfBXPVnIXj1TpGc9VhluPSrtdT38mV49hPlZPSKHeD1vunI90jh1Pckhaz2J+l09yhVwPXflaD2Tolc95RRTPeerUT3N/UY9EeFYPS0PYT05oks94ZxAPbW4OT1QdzE9KX8/PW+WTz1IOVA9APtdPbFmXj3VYV49UjxePQhsUD1oI1g9O1RlPS3pSz01Fks92eJePfJUWT3dnVM9qkBSPao6UD0n9FA9wwBPPTBZSD0Jbk899NxEPQTfSj2AhFM9A2pVPUt8UT2Ygk49yj1QPUNkVD3sjFY9jEFSPbQRRT1t2kY9JcVCPSRORz1vWko9yeNHPQHjTD2CIV89v7ZfPThNVz3y4089Jr9SPSiKSD2COUQ9IDNOPWPqVz3uuWI9QAdTPTlWTT0x8WY9jAhoPUqtXD3YJlg9S8FaPZ6nUD0ivV49cvp5PTstdz1oX3I91YthPVkQWT32GGU95ZtdPbrqZT2IJWs9bEZrPbneYz3KnFw9TchkPfKsZD2BIWM9FeZjPZEfej3u5XY9vNdtPWGAbT2DnW09byl2PaK8dD1SU3c9s513PWGpfD2kqHw9VAB8PWREbz0HF3Q9nLaFPeghjj0SqIk9g3uFPcnTgz09sIY9lNh8PbW7eD3kr4c9UEmLPbpakj0uTZI97HWYPf+xiz25wIc9NziIPSi7iz22NJY9VWKdPQf5lD2KR5s9DIGePSq4pj3wRJk9uF+MPVwSiz2Ioo89Z6OPPSgCmT0xR509Z/ugPeotqD0l9Jk9BBmYPcYgmz0s55w9fNSmPV4rqj2cq649BmmtPQbvpj2uMag9v76yPTdYwD03l8E9ydWyPShDtj00G7o9By25PYHAnT1ML5E9bAeWPWgXmj12rJo9tS6ZPXIwmT0t1589pDGuPeo6qj3ptZ89VdSnPVXhsT1Rzbs9URK3Pa+OuT1OULY9L3uzPYWJqj2GXpw9nW+VPd6akT3E5Is9VwyUPUOMhz3IdIU9Z46RPdDtlj0LjZ09IEqfPSSBoD2PBpg9VRyPPYoHiz2PcZ09owiiPQgzmT3Crps9axecPdFZlz3xJqA9DhOzPZNsrz2kBrY975WwPdUBrj00N689Q4SnPQ0ZtD1LAcI9ko29PWN5sD1s7qo9RdCxPS/hsz0ifa49TnSoPU7xqj1wWak9swawPSy3sj0Zv7M9eZS5Pa4atz1G2rU9xKevPVMurj1j5K099nezPQootD24rbM9X+qmPRAfjj01+ok9SciRPTMHmj0aUZw9MimlPRbapT1vwKc9PCWqPUiGsT3yWq89KjKcPTuTlj2n1ZY90gmSPTzalD3yS5M9fzyLPYgoij0KXow9rTaNPQHcij0S2Jg9NqSYPWLhlD2Lf5Y9nHSdPTRLnT3AoJw9Ws6fPUY7oT1ECJI9WjaLPdPKkT0NF4Y9luCIPWSykT2WpJc9WUOePWQemj3LbZo9B0+ZPdO6lT1qcJQ9UEORPR4aiT067Ig9pt+JPaSRjT3S8oA9I6VgPRx4dj2Sxn49H3aCPeLSgD2F54I9TCaDPU3GiT2As5A9RfKOPY8nhT07soU9rd2EPf2cdT1zLmo9PGhjPZ9xWT0pzks9yXdSPV0VTD2A4k49SEFTPfuOVD2uplI9j0lYPe3AUz1g2Uo9oclNPUQ+Uj1Dhk49/4xMPQamOj32SDs9PFk4PQX1Oj3DIUI9smxMPXuwRz0AnEw9JmhLPYFnRz1rpUY95IBKPR49PT1q70E9CxY+PRwpPD0X9FU9UEhnPVutVz0f2FU9JChAPUnwNT1ebio9uIMgPdYMKz0m4DY9ccwpPSXnIz28JzI9/f5APbQxPT1dbTo92Pc0PfzKMz1wEzc9m9xHPeJBTz0UOEo9um9KPduGPj3KsTU9+dkpPTrhMT2NRj89ZJlJPQ4YRT1XGUQ9K6hEPfOFQj1iBD498wRnPWBBSD2b2HM9uCflPYzg9j33GyA+rUw2PvQ6BT7ybQM+QtALPgHEID5Avic+t4YPPleqDD6XiQw+2JwOPkLgAz4J71U9omNuPEzAdjxn9mg8k15qPI0Qjjx/76Q8Kt2bPEs9oTyQisc8EuDJPM3+zjxryNM8/xfdPB9Q6jwYoOE8hgPZPE6Q0jy2wdc8TcrZPFrc1Txu4uw8I6LQPKKImTwoboo8vh21PDW2kj3WIAs+u5UfPlk4Mz7XL0A+v3M0Ppe+LT6g3jc+y0hFPrWJOz5mcys+w+kpPulFHD4Q9Bo+e+AtPm0hLz6pWDU+N1pKPsfMWD6SVik+tY0bPiTQND6xD0Q+dghMPs+LQz7FTi4+s6AgPgR/FT6xUiM+OaUiPhhLGT71Uyo+XUwqPnAQOj7AZzc+kOopPuQWKD4+gUA+7GBJPivbPj7uKz4+UBgzPvDXCj7mUIs9+7yfPeOauj2zCzM+B8tLPujHOT7GDl4+B8J8PqQCgD7L0Xw+ABNbPlhtPT6JWUs+wCRkPp5zZj5uuUM+frMyPkmqNz5XoDI+GJA+Pt95QT4iCzc+4RIqPilWUj66aWQ+kqAtPvZoIT4OPR4+P/BAPmL8cD4uHHk+KXJdPgXLVT6s6zM+cZEyPvssRD5aNiw+v5YiPlsRHT4ONy4+PyxVPmqzRz7nAUA+/DEnPiW+Jj5ghzY+qqtNPhnQLT6Aljw+6TNHPo6mMT5pQC4+0h41PrYmMz5/ozQ+GtgtPhZEOj5hIj4+GYU9Pr5OMD7QVCY+q30LPkbpOD5sVT4+sck5Pv+0NT4ypyo+KYEsPsaXRz4n9Do+p9oyPqwpLT5X+Ck+CG0jPpwJLz7+YTY+tIQrPkc6IT5wqhk+XEcdPrbiKD5JhB0+QSQTPu8lLj6oHCs+meEqPpe+LD4cBTQ+EJpBPtRJOz6aoi4+35UlPrmJGj5kVRo+R+QZPk2YGj7eijI+mXkwPnusNz47by4+D8QrPvDgNz6O0DY+lz0iPuTAEz6P6xk+DeAyPjXWTz7BETo+s8cxPmeVNz7oJzU++7Q0PgZgOD5IMiQ+vXsoPgHwNj7GGUY+bk1LPm63Uz4VdD0+/ggyPvoCJj6ONxc++qETPrpsBz5xfv09qGALPmZXBz6I9/c9xCHxPTJN9T2C8gI+1REHPvZKBj6F7wo+o98HPvhkCT4Q5RI+0v8VPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3WAqj0UL649oUymPZTQmj0jVJw9ymKaPUjOkT2o7349vBmDPcujkT2ArJc9QviaPauFqT3zM7Q9RriqPX0TnT168aA926yhPUzdnD0BgZY9c4uUPXHUmj2NTpE929WLPYnwmD3JN409vdpsPYZDcj3bGYM9/oGEPb5CcT3KJ2Y9oPh4Pe8+hD15Yoc9yRqIPfyjhD3foIc9Au6JPfo3hz1VKoM9YIh+Pdushz3sH4E9YYJuPZfBgz3FpYI9XgNtPdWsaj2LsFo9a4lnPew/dj1EZ2k91dxwPYf7dT0wp4I9TF16PTiAXT0twWU9ZnBgPWIlWj1xi0k9IxZYPX2tYj178Fs960ZQPW4kUD108GI9f/VcPZcHVz123VI9bmdoPf/mbj1Jx2k94zxtPTL0gz2z4nY9X9liPc95Uj2sBlI9HitcPYY7Zz0WFGQ9W71iPVc0WT2yJGA93ep2PYXHcD2Fz1Q9IaFaPWiZfT01mHU9mPZhPbSSYj1AlmA9LJRkPTNhWj1ocV89glhfPRkRYD1yJXg9j/VdPSWbUT2tclk9QI5rPREDZz3WDWs9zHluPezxZj1tHGw9nxFxPWEtgT2PPHo9/IxLPb84Lj3dIzA9T39APa03UD1/1mM905tfPV07Wj3Ar1Q96DxbPSy5aD2d+V89qB9ZPWihUz2p3lk9RKdmPeUTbz1pal49WgZYPTRrVj2SyFY9lo9VPZ+BVz3dNHA9k5diPdzMUj0X4Us9PnJPPRj4UT1PgUU96NxJPSJkXT1IKV492UBQPfQdPj1HgTo9GZw8PZXiQD3bT0g93ZhIPRDXTD0hxEw9ncpOPa/mXD0tmE89kttKPWqbPj3Le0g9WBJcPZqEZD1MmXI9Og53PbfZeD19HGE9yutlParUbj2v+GU94PJgPf6EVT2uT1c9pjdlPbl8cT34BnE9oI90PXrWZT3yfm49Zw5zPbLdeD3xUoU9SEuFPbW8gj0JtnU9ruN3PYe8cj1pm249K0FzPXWpcD2AK3E9eTB9PS+6dD3U4mk9nL1qPc7paz3yfHI9qdt0PQuZbj20xno9urB3Pc2IeD1DIn49RBt9PaEQgz0Hbo09IdOIPbCNhz04hYY9M1CMPWYZkT0rIYw93eyLPQC0jD3vCpE9kZKWPciWkz2tCoc9Rx2KPSthiz1ynYw95pCQPbuCmT06no09UNGMPVE0jT2g9pQ9jOeiPVpboj3vkpw9BE2fPeDSnT3+HZs9I4mZPQ9UnT0sep09ArKfPchGoz0/yJ891iKfPeWKqj26KbI9NcywPSLnsT0U9LM9SEu4PS4wwD2HdME9cu+1PZhOvz1qjMY9/LXHPd/Rqz2Ht5o9MBybPTdRoT39XaA9UDudPQy/nj3vMZ498WmhPQFSqz1QGKU9S5OnPUyAqz3sQ6Y9L+2nPeIEsT2qt7U9LlvBPbpDxT24jrQ90qCmPY0Rmj0gwJo968WcPRkHlz0DVY89ipKMPXfjjz2F5JE97CyYPULjmD1qIpc9JQCXPQsdkD3/vI89iMaMPSwvjj15gpA9rLaXPY5NmD3oW5k9pealPUNjrz1ejrE9vA23PW1JtD0ddLY9iau3PdljsT2Md609f9erPaB9rD1hf6w98GKsPTC4sT37uLM9HBKvPcj1pT0lFK491uOzPf3Uxz31Ybg9vD+qPbPGpz2jeqQ9vAOkPeIKpz0x2as9OFSwPW1/vD1pdcE9z3rAPRjNtT1kJ5096maYPVWynD37NKE9O86mPRavqj0Qwbc9qaS8PbCaqz1aI6U9FA+aPdpmmz28D549B/idPR68nj1VGpM9rvmJPTrkiD2B74g9zwKNPdOOlD1xZpQ9qZWaPZ0Lmj26vpw98GKaPSoMlT1Kt5k9nE2SPZQ4lj2F+ps9pGKSPR47hj3PLYc9tr6YPVQ7mz1W+p09yRWjPfOnqD2KAKA9vpOHPd2AiD2P8ZE9CeGRPVu1gT1OGW49ejZvPXNvcT3y3nU947VnPX0qYD1Zwl49FPZ0PYwwbz0jv3M9TbR9PSwChT1p/YI9MOGEPUJRgj0bg4A9azaJPckKjD0xWnI9CEtlPSpHZD0kaGI9P/5dPf1gRj0QWFk9voxvPSgddz0kPG49d3ZVPQa1aD160W49SFttPYTLXD17YFs9xHZbPXbfRz3c6D09ahg3PbY8Pz3wT0U9PydMPbGYaz3WX2s9h8tWPXN0Qj033Do9rZ0+PeDROz3r6Dk9kxs4PVxNKz321Ck9IUM6Pc0lST06RDk93iMuPR+MJT12/x09n20cPXdjKz3o2To9LGk/Pe+3PT39cT49FWw+PXqMQD2pO0M9+5tCPQP3RT0LMk49Kf5OPbeXST1erUE9bxdFPa9gQz3SoTg9W5o1PSzrLj3dNDw9WMBGPaSgUz1Kg1Q9PK1RPcjYRT2h0Tw9gZM0PTzwbj370Qs+HvwVPvHFIj7i7yc+cSIYPvd1Aj462QI+GXQDPsV9Dz5Heig+HQEiPnAOBT7K+QI+ykwMPlaaEj4XhvU9Y0cfPQi4YzyObI08gcKOPPzRkDyLfJ48HBmyPKIXtTwxMbc8EVO/PByrwTzBjsQ86LW0PL5OqjzKm7U8Q2OsPGYHrDxxnbI8+0KnPEXuqjxRaQ49E+ORPbyncz22/N88v2iUPKyQzTxuX7M9WQAaPuSjKj6/Akg+42ZEPvhgMT5RgiU+2tcqPltNMz530S0+s5crPqbcKj5kajo+IzE2Pm3sKz5PgC0+i7IpPp4NPz6Eo0g+VVw2PriILz66yCM+b88qPp2jNz6k4Ds+ZP04PiehMj47uSI+SxQuPsjZJz7fTh8+oOs0Pv0eKz6n0yU+fQouPshGQT5r20w+dqlYPp9HSD4hnEA+qrIyPqOc9T0bHR09SWptPMchijzs0pI8kmlpPZJkBD5rITA+mLVpPtd1ez6a1Xc+1VdTPsJ0IT7hJzU+PU9JPgckZz6hY2o+HkU2PjcKNT4Gazo+MQYwPimEPD5ISEI+hohQPn4hRj6V0zg+PPlNPrAcSD7lQzs+w4shPtN9Fz5CRjA+L7U3PjUWPT4yaj0+43Q8Pju3MD4lCSY+xvRFPnxqKT4kyBU+rFkgPlStSD4IDUs+iAM5Pn+JNj7h1k0+d3xSPk/lVD6IPzU+GzM6PgNnPT5HnD4+S/E9PiB2ND7x9Ec+Bq9UPpfDWz7WeVA+JK4/Pv0sND5fDTY+Cm8yPs/ULj4m2i4+yt8oPt5FLD6LHSo+OXoaPu6mKz6jMyc+iJ4ePmo1ID5vLi0+eO8yPi2FFD4yzSM+AL4mPhwlJD4tYy8+wAU4PkoSKz6K2h4+dIsiPqQ9KD5vxyc+s60kPs2oMz6oPEI+wckvPgT2Mj7B0D8+NOYvPsRuRT5DKjY+IHEfPoTJLD6FSCk+ZgkiPnGcND77OTY+xEYwPgI/JD6Usx8+IPskPvRlHj69aRg+qJM2PoBAQD5tClM+jog5PvMuKT7+FjI+BHY2PlPNOj4mKz8+c6Y1PjyKMD6BXys+2LYuPl2VKz4+8kM+jxtcPmeMMz6KbRs+LagXPtZzGz7h3BU+G3UEPulcDD5NXws+g3kYPn8GIT4IpB4+9METPjIOET57rRg+2h8vPoL1LT6ZADI+DlZsPhODkT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+HxJE9akGNPWWrkj2Ij5k9SaqZPS6XjT0ce4o9KaGTPTS5lD1mLo897pGTPfA7lT3Jc5o9bYKfPYthjj1Mko49cWqhPXFipD3gNp09Dq+mPUvSpz0uxp49PmmGPeAHij2DSYU9CMOIPeeqhD0t7YA91uSDPWfqjj0mv5E9Os+UPWdIhz1lh309JCeFPXewjD01eY49xauLPdsfjD36MY49c0mQPYMJjD3taoo9y3KQPcollz0F45U917KHPYlsfT1Cjn09dgt1PfVPjT2jWIw9Kax2PYS+aj2B3mc9xElnPRi8Yz2KR1c9WMNlPV5ucD1oUm09mwlmPb9paT11+1s9ZLJcPfD8Vz3Uw1M948lYPZqnTz2zC1Y9JglZPRi6WT01rGQ94zVnPYxkbD2gcmc9mMpXPVCNTD2HvE09jTRNPUZhUz23DVQ9g3tSPU3jVD0C1FM9wMdWPUAYXD3hPl89S6FfPaC4Vz0NIFE9VstWPdxNZj1wnl09UC5cPShaaT1o+Xo9EddvPc0jcD3vym49DBZwPQlsaz0lVWQ9I2RUPU2fUT0O/VI94IVkPdKOgD2aIoQ96xh6PRF5bj39WEw9MfdAPT3sSz2dclE9Z09ZPTPhXT1os2Q90WVsPcUkbD3yqFk99bVOPWmnST1CL049HNlZPcxaXD1VFl49ncRTPSyPWz0wPGI9nCNQPSLJRj0Ww1I9fMVQPZD0VT3eYmQ9UL9oPd1cXj03a149BOFePXwBZj0I6mo9rPVCPT+VOD1X6lE9rzJIPfV3RT3mVlQ95x1UPUD4TD2+mEw9ColBPTsLRT2Fe2A98NhoPVZcYT1YaFw99yxbPTB1WT0UPks9DBRYPWZFaT35EnA9YIR0PfAHaj3kS1k9vWJkPRkWYD0qhWA9KuFjPSk3ZT11amo9mGJ+PXYYcD2NKGY9rNJxPeYedD06WXI9pnZuPdnobj0JjnA97EZ2PS9rhz1ex4g9YVh9PRhrgD0FI349Tr2GPUP+iD37O4c90n9/PaUShj2piog9saWEPSWWeT3UOHY9KXt4PfVbfz36c2491yhzPaxSZj2ZbmQ9Lv54PdX7jD1E4I49FGiNPX8Biz0ABJU9emudPctMmz2FmJ49Zt6YPZ5plT2B6po9hF2XPUAPjT2vPYs9ZM6QPZA6fz1ovIY977GJPTkJkz0T9509p4CjPea0lj0mzY89OQOSPbunnj02Z5s9WZmXPcIAlz1HyqA9FWabPX5HoT2BMKU9mTqbPfM5mD3jsqQ9S2GlPUrSoz14CKs92n23PYM0xj0rB7M9bcOvPdt2sj1IVq49E1zDPQnGvT3N/7Y9TsGuPQU+oT2GgJU9N56gPSWkoj0kkqE9kxCnPaQDpT2Dm5s9j/KjPThcqj3oYKg9hFyiPf37nj3km6o9GUzBPZB0uz2VHbg932i+PeiLwT11hLk9yXapPS3Hmj1LHqE9iRKbPRhOjz1/MYw93CGIPV59jT227JM9bZ+XPVZ6mD200pA9H4OLPTH/hD2HE4s9MNubPbwHoz0sMK89UF+cPY6TmT2ewZk9kVSgPZpApD053Kg9yLezPU0xwz17Sr89YkmsPVw0pz0RQ689yGCwPT/Utz0gVbw9Fem3Peivsz0OP649RLevPWHApD1gsKU9xEOuPZggrj3ula49UI2tPWYvsT3v96c9TEKrPZkbsT0bRrQ9+fO9Pb31wj1wHbM9jXadPVZ4qT2AlKw9neGyPXBCsj1D6qc9ZUOmPY7Rpz1cWKg9uberPaU3qD2ey5s9IOqZPR1Gmz1ggZo9JdeRPdRXkT0/0pk9fpSPPdiJiT0Fq4g957aPPXEMkj0F0pg9OmuoPe10pD1sppo9+piWPdNojj0XE4k9CjmNPfESmT14KaI99viePcsVlT39uZY9luaSPR5Qlz3lIp09tNyfPWDypj0Icp49+u+VPdNClD294Io9m96BPTrtfD07nHE9+lJoPQH7cT2vdn8915J/PTYteT02VHw9WQOEPW36jT0mcYc9s4B7PcNbaD1oInE96slxPcCQcD1+vYc9WKKTPYuumz0XMZw9wp6APTtQZT0Ld2U9Y5plPU97YD0dMWM9xTlvPelmfD1PS4A9znJ+Pb33cD3qiWg9bftVPQKFRD3OqEw9L0pPPZK/Uz3RW0M9uWNMPaFUXj1K4mY99GNmPcUxWj0sH0w9OhtUPSA9QT26lS89WaAsPXWKMj3sskI9Dyw7PVWQKD2ucCI9jf4lPbrWKD155jk9BFs3PRimNz3WvTM9YREzPQw9NT0HQkI9/3VAPfeSQz1i40Q9XrFAPcGKPj1LZzs96CBFPadxRj3UB1c9MuhbPcGNWT0MLkE9hvcqPbeGKT3knzU9e9lEPRQ1SD1dfFI96y1NPagpRT1gEj49uucmPaWDIT0lPhs9kYohPTOrJj2dMTU98X3NPWBjVD6OYFA+RHUwPiRLED4jow4+rdoaPkYjFj5+Ihk+Xb0mPhxqJD6FOxI+zUITPjToFz6Rwxg+8/fSPX0P5DzwiWg8T9GhPA9okzz4CY48N3KHPJRUjzzSoKc8WrSuPCMypTz7iKU8o6ejPLyimDzDlZc8SlKRPOTWlDxPMaM8NBavPJQDuzxH+r48poy5POUgtjzSKKs8EyagPBYfmjy7tqY8OQhMPfXntD3stb49VUX4PfG8MT5tnDA+RuUlPixRID6jPBo++GMdPuqeJD6XsCs+u6k0PvwuOD5jPjU+xfYqPgHdID4nBzQ+dHtcPjtPSj5wBzU+orslPjt9IT4sxxs+918cPq4DND6rpTg+224yPue5Nz7vwh8+3wIvPvJOOz6syiA+ALwUPrIVHj79Q1U+eqmCPoqLgD74a00+BNk5Pol0PT6XATI+y5C6PQqLyzw914E8co59PHHMfjzq7Aw99fknPmfNrT5mWN8+kLrnPo2Qlz5hjiw+85A1PtCCPD6Fo08+V8RiPjNQWj5B0y4+jPAtPpI2MT6ilVQ+SKlcPriqWT7ZtUw+nnhFPtsKPD46FDI+JEk0PhPCMj75wTA+MT82PkOjKT6cITc+NRg+Pn03PD7RSjs+xa04PpUWKz42miY+3DctPkixMj53v0I+/EtJPgDXTT4V7GA+nKk2Pi/zPT5uj00+3FQ3PigLRD7Vq0s+SW8wPjo/MD7k1SI+F04mPtFIRz4IKmM+DJVmPjwTXj53mEA+58IgPpWfGj7LdCM+spk7PsWMPT5UvTI+8lMxPk94Pz43tyE+cw41PobsNT4FgCY+t34gPkRLKj6B0io+Gy8vPjRNLz41Myw+j6QvPp3VNj6u4DI+vC05PskZQD7Gnjk+sWw4PlIhLD6jEEk+xm87Pk+jJD604T0+RUdaPufXHz4QdB8+mrcjPgLuIT7SIyU+TPQkPve7Pj5Ca1A+IvRDPpHaPT64oTM+vn4tPjrZJz57aSY+824qPnYOIz7mCx8+BxgpPmj+NT4VyjA+fy0vPgowIT6dGxc+tjsXPiK/JT75qTI+NiJFPiyGQD5IJD8+PsQ8Pjx+Tz7BPj8+cWY2PhD+OD6VhDg+SdQ1PrJ9GD6L/BI+n8YTPm/kGT5qZDs+mLJCPmKiQj4to0E+zNlEPqGKRD7DoFU+tyFaPkWyXD5UyFc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8P94c9fz+GPQpMjD2sOpY9pGGgPUXSnz3aoZ09zCqZPTL5nz0GGKc9F8SfPftvmz3OMZY9hI6SPRNCnD24LJ89DzCkPfRFqT3reqA9iXGfPSWLrD2RhbI9FJOcPRfQkT0wupA9vSKQPSiDgD1fi4o90hGOPdmWhz1MlpY9tv6ePR1Ulj127JQ9JJWRPafvlj0Z+J09+0CVPVN1ij1Ecos9nceVPbPtmD1Vrpk9pLyXPZRDlT1gi5E93aiTPVRCkz2AdI49sgF3PYaGgT3Ycow9ZhOGPRaBaD2eV2I9R9dcPcu+Wz3TNlw9c49ZPRtdZj3Wu4w9XImFPdlcgz1Y7YM9qTOIPVxXgz0McnA9SWVGPW4MRD0jXlA9UfZTPbIbQj0BAUw9vxJXPftKUz2wO0g9udJGPe2tSz1gZls98rlOPcVcRz32/kI9yjJCPbIuSj0XNlw9fHFuPYnPaj2D/WI9yrVYPQxLYT1n42A9jyNzPf0/dj1pG3M9HoJoPdzdbT23e349ro1yPS2KaD1Pk2c90IlkPW3rdT2oB3Q9iSp6PdJSaj1wkGQ9yalmPTYLfT1e8FY9U3NjPUAOcT3O7nc9Y414PW/kdz0bc4Q9afGGPbWDiz18vII9HJd2PQywaj3eK1A9T9A2Pe1/Uj3thmY9GnxqPYx3Vz1JzVM9iLFdPRGTUD3rO0Y9MQdNPWrVVD3GIFc9IudiPYC7YT0SoGg9IihmPVaxUj34kFo97IZcPWNZVj0XvGA9gKBYPeSSRj1b/kU9b5xbPSX2Zj1Mo2w9Pc1kPbG9XD06QmI9h1NWPfceWT152Vs9dbZaPdZjYD324Gg9LCFfPTJpXj1YVWA921dbPUuhTD3bkF89C312PSLEeD3a+GQ9JaxfPUkeZj1nT3A9ev5rPSjFWj2G7WY918B6PSN3aj35km09xDh8PfL5fj0EhXk9fKd3PdgQfD1/K4I9bNF7PcFDgT1Mjnw9M1mFPQ4Zgj2j1YU9/qWCPQYlgT14xYA9V+l+PcPLdz1Tv3k95jaAPTbvaz0+Nlw9UmpNPfdUTj2uEFc9o5RsPRkigT1ARn49FDJuPQuNdj1WCIQ9oJ+EPXmWjT3E3pI9WkadPQf5nT0MPZk9hq+UPSeRiD2qZoA9BGyKPfCWiT35o4U9v7yCPYXfhz2wyo49vDiWPXPrkT2fBpQ90hCTPaV1lz2QX6Y9ilafPcMCpD2lHKM9LPGdPYvmpD2nS6Y9xuehPe3wmj3YG589ie6mPWbemj31+5U9GEmnPZCjsD0Nt6s9TCSwPXtmuT2IzLM98gmuPYMPsj3zcrY9wOCtPdeTsT3Sb7E9SrSmPV06pj3Y5aM9IiSXPdvUmj3nyKQ9suCmPVmnsz0Gr709RmC0PWUwqz24IaY9B4SgPQ0ypz3nU6g9WBu2PQQ4wD3Tt7g9Ezy5PVHfsD2vzbI9iBLLPbP2rj39L6g99XSlPRMzlD3MDZA9F+KRPbdzlT3gTJc9krmVPa4tmD2W4po9k6ydPXrnlT0M8pE9r1ibPRtbpj1386491A2uPY7mmz2scJo9SIWdPWqnqj2+XLE9X2eyPbvjrz0B+b49ikjEPWK0uD0T8bk9Nmy9PfpVyj2Qz8Y9oJW4PelWqz0uSa49huetPSOUpz3OCqk9TK6xPZqItj3XmLA9VBysPVMsnz0cs6c9/W+0PQs5yT3cZNM9Ub/WPYmT2D3ywrg9aOGnPWEpqj0C6649h8+0PZdutz2/trA9YliqPbE8tD3Lhak9h/miPbr0oj0tTKY9amynPbhopD1qGJQ9wy+HPRe8gT17tII94zSUPcLBmD1UE5E92LKZPdrkmD3ktJQ9BKGYPU0Ulz2cpYs9+tSLPSv2iT1GnY09IgyTPVYpkT0VhpE9aUSVPSwRlT0zy5M9vqGQPR6ijz08C5s9TkSiPdhynD2kB589nc6ePZdokD2Z7IY94FyBPZlXdD2zVng9G3V7PWMZeT25p4A9zImEPYkciD2qjIQ9FIOHPbBwij37u449LB2GPeO6dD2q+HM9x7l2PcORhD3P1o4932+NPck6jz0fkY89zzKFPQGTZz2W2lc9DmtbPSXhXz2mJl09Kt5gPdjVaz19c4A9iHB3PWJxaD0jFGY9UXlQPRlFRD1BW009wfZNPXxfUT0RblE9Lk9fPSWxaz2/E2E9xW1iPWVyWz3i4VY9HuU+PacrNz1V/ys9vtIkPfkMKz2cci0994Y8PRh9OD2s+S09HYQnPZc5LD2a2C89IFY/PRbKLj3g3TI9a14+PX4yQz2vY0M9YhxJPVkAUj0dTjo9clQyPX1WOj3on0M9g6dWPZeAUD2pP049WCZNPXzBPT3Ebik97lUmPZqfKD0NrjU9KKU+PSrxPz3UL0I9p+9APVBdOD0wTCc9zoMZPW1HFz3P3Bg987IaPU13Hz3HOCQ950M1Pb80hT2srw4+ZBojPkxgLj5ZcxU+CyEaPl60Hj5Omhw+dFYcPnlAIT5gaic+LjIiPvK8Fz6XTxs+3O8WPsGW/j0lCFI9gT53PERvZzwkIXQ8DBaHPAqblTybqaw8SKK7PCA7hzzA9ls83ehTPP/CWzxYZXk8Ot2QPNYHjzyyE4g86keRPETD1DyvT3I9ej+uPdEtbT3fCcI8sr+BPNM+gjz6DMU89GwWPYjnvDzrb1U84wRnPMnb6jzlpvc9d0YvPipsID6iJyY+fjUvPqrHLD4FnDM+4+wUPmKZFD55syQ+z4Q0PtguLD6Rzis+D6ZePkauRz7wMCo+6rI0PvI5Pj6UkCY+OZs2PpRkLz6igi0+UmE0Pn/fMz7/vUc+vqQ/PshiIz7lZxc+CNshPjRQJT6egCI+ItNAPpngZT6h+Xc+Z6BbPgQYTT4SO0I+6wglPlkJiD0KrbQ8EhqbPGRvizzKVm883ROuPACf3D3EuJ8+21XfPiP+mz5VZYA+d/wzPtwaNz488kU+LI9KPpogbT7ODmg+ckVIPpzLST4J60M+GwNnPlMjVj4awFM+TKVPPrKuPT6cgTQ+NNAvPmRgJD5G4Cc+R/I7Pk70PT6R90M+EHAyPtlPKj4bIC0+hzM7Pme9Qj7n9Do+xL1MPm2eUz4Fm0c+BD43PkMLMj7+CEA+69BOPv3RQD70GzU+rWM7Ph/POD5Ng0g+y11ePl04Pj78RkA+2gg4PizRKj7MHDc+J0tLPiKBVz6OJUM+11koPpIbGD4cDyQ+Pic/Ph6lWT52kEM+FYA4Pu4ZMz6ezDU+8UMfPvvnKz6BmiY+fQEcPkcHHj5s1TE+RMItPgulJT5aDzY+sAw9PsevRT4cZDQ+mnQ1Pmc9Nj4rRio+eCApPqRsMz5wFjE+5lQuPqW2KT51viM++cQhPo/cLD4x0Sc+VKgpPjlnKD5QpCA+7zIlPgLiJT5D0D4+EDBEPo9aND4iRzQ+SxkuPhk0OD6Lwz4+n7AvPlcgMD7INjE+ZAwtPu4PLD6hRSY+0wAxPvP2HD6XaQs+mID8PT198z1E9xY+KSQ3Pq1kRD7C2Ts+OV41PmuIND6yFTk+v7UQPuVp0z0usQc+en8qPkTELz43NiM+I3sdPuLVHj57qjA+r3tEPrKHRz6hv0U+UrBEPontPz6ZnUI+qZ1KPqb9TD6l0VA+CW5KPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/JaWWPSWllj1e65o9IOuRPRcqkz3pqKI9tqSsPZ4iqz1LdLA9YEy1PQECrz0scaU9TneXPSmNjj3+nqA9ZiipPeAroD3n46Q9dnexPXb2sz3zJa09CKG4Pdi0wD0Vc8I9ApqtPbtJnD0OGZU9Ah6QPUtMkD3WKZA9yFqUPcRCjD3oNYo9ExaYPXuamD3CMJQ9kGCaPSWrjD1jiog9H9+NPeQvlD0a3pQ9oM2cPXuBlT0GrpE981uKPU6kmz11lZk9eWeKPTt8gj3yAoE9RSGAPScIhD0CHYQ9DRh9PbHAfT0wwYI9CSyGPVL9gz1DFIQ93ieOPSsSkz1/MYM9cbF+PUhoaj2XwV09ynBLPcQ0Rz0A3k09wt9OPYbgTj0XYFQ9nmZPPYnVPz0bXUA9HSxGPSzPTD1tN089Ed5TPWc6TD0FdEw9oTlTPYt5Wj0PFlM96XhnPZIpbD2ZcVI9ctRQPRQYZD0HHYY9RWh6PXhjYD3pxlk9P9tWPX3vXT3Scn09CDCNPehPcT347Gg9EB1aPfaYWz1wlmA9l6tjPdDDYj1w6Fg9wthXPX7TWT2oTGo9bqlfPbXFfD3fZYw9n8uSPSy+jz2Rr4E9uTdxPbPscz1AZVQ9lXVKPdT/WD28OFQ92WtbPZxzVD2KAVQ9aiJjPd4oaj1DYlw9ZmhkPWyobD1AwGk9p5pjPYyxZz29wVw9pWlUPVGdZz10wWA9+A5cPbGvYz0o/mc9PBxwPUbLbT0S+189r4lePT/wYz2bO3U9+m1wPayKXD2Ng1c9VGJmPa0TbD3UDWc9z+ppPV86dz0wFnM9QZ1sPVhebD1UIlg9rZFfPYWFaj0wcGM9HmFkPWalZj3XdWs9ERljPWifZD1HjGU9RZ5sPRxgcj23YGg9KJl9PXNfej3XNHQ9vONoPY+tbj2nAG89I4d1PTawhT37TIY9NnuBPTDThz3BIos9FgCPPcbmjD3cvIQ9aBSJPWA/lT3PP5U979iNPUAqhD13aH89++GDPQcLhj3jKoY9EPOEPSpLhD0rDH09KLR2PX+XdT3qyXo9Bi59PQOedT2p+3o9dpt0PfRMfD3hWH895Mh+PRbEhT1skIo9+4mGPaZzjz0wR4893IqLPcd0gz15x4A9x2yCPeSigz01Q5E9yUaTPXjvkz3VwZI95xmPPbi1mz33IKM9Ii6dPRp3kz3G4Zc9Be6ZPc6Qnj0TU6A955KhPSuDpD3vka09gwerPWxnpj39Jqc9FxGpPaPspD32x5o95oeaPXdapz1NDK49X9KvPV17tT3mb7Y9V5CjPWuSoz0ruKQ9aZKlPTklnz0lAqA9wV+gPQVroT1N4KM9ZEqfPY39oD0J8Kc9jwavPcKdsz0zM789D4fCPeksuT3CYsA9PVG9PW/VuD2wJrE9pBqsPWDNxj27gr094VW+PfpMxT0/4sU9S5zDPbKqvj2baaY9aL+oPWOBrD2wsKA9shmZPXWqkj2EbZo9CgucPTs6lz2eLJU93bqePZIMoj2+hKg9x1WlPStXoj14eaY9mrW0PbmOtD1seag9ViSoPcg5qj1FSao9CsqoPeulqD1Xcqk9WhCwPWkSsz2lU6k9RW2mPcchqT02ibo9RjW+PalGsT3dfas9Y7a7PVAmvD2L27Q9idS1PQeKqT1Ax6c98COrPRN4pj1mip091KGjPVtrvD0p8c09JOa3PW2otD1pT7Q9LGm5PUG9tz0jFqg9+1CmPVrLrT3Gx7A9G8u1PZrLqT3XfKE9k7ChPcECrT3CY689gHGxPavUpz21zZ09JzqMPYWTjj3YDZI98i2WPU1aoT094KA9DWiePQUXoT2VBZs9R8SRPaollj1gHZQ9ZNWGPRE/kD2+qZU9Aq6iPSi1qD1/S5s9mtuXPa6zoj23kag9n3imPbKqoD1nBKA9tf2ePQGBnT06fpQ9w/uPPe2biT0zS4U9iJOBPb/5gz0yNoI9OpOJPXhdkD3udo09KqqKPXh2kT0L7pg9xouTPdy2kD1aT449cL+KPacEhT1cRoM9G9iKPQD2jz0ghYY9ZwyAPZukgD3IeoQ9zGl8PUnoez1Tunk9tCZ1PeXkcD2oCG89pflxPVY6bT0H9l89cmZbPS6fZT08PGk9FMBmPa0qXj090Vs9kg1cPRfVaD3Ks3o9KGh/PXozij0EAoQ9iztsPZaBWD2BwEU9DgFAPbv2MD3iATU9gRk2PSEIND3cTzk9z9s5PaVyKD019Sw9JQ00PTcGOT2eZzk91do5PW78Oz2NKD09L1RGPRCXQj0Wb0w9ij9EPWesQT2b9UU9T2NBPY71Oz1P9Dg9SNM6PaukOD1iATY91uc/Pe2/QT2+ZTQ9tGgqPR0TKT0XzSY9ZtgqPQy2Nz2Rf0o9j7NJPbtPQj3BCDA9P5YsPSt/Jj2iuCo9b8o8PTrpPT3qeEE9FJE/PYyqNz3Jy7U910QRPjPAFj71DSE+BCYiPiHtHT4QXhk+ilgbPrt8Gj7s9h4+W/UcPmOXDj7+9BA+XGMaPhFkED53ZAI+tbqmPYDG4jziSlE84puuPAIPFj2DCm89OQW2PVoizj2aqn89QMelPFDcCzxPLCo8YbFePLcbgDyU2Y08neasPNq37zxNAIw9FBgQPp5pIz5dVw8+Tjb+PVUOAT4k2AE+lvEAPpoOAj7M0Vc9bUI0PBxPSTzTL5o8AgKlPSwhLD6c5DQ+nlQpPnMpMz4gXjU+IWYwPizaHj4bMig+aVIrPs99JD422CA+VYYUPlRmLT7ejTI+rognPplyLz4tGzg+qyMkPlBdPT4aDEQ+n2g/PugAND6FczA+OeA5PqxBQj7YSDs+m5MqPhpeHT4TXhc+qpMTPpw8HD6OdzE+moM+PrCEPz525EY+PORDPhdlGz66SHY96TyCPBbpWzxJpks83kN/PJTyaj3D8BE+Gr1iPpLmdD4T9FY+Df5OPnZEPj6esU4+ZZxSPgm2Qz5ytkA+v8dCPj6DWj4yP1s+iq89PsuyRz5w0Dw+VM88PihjQD6HUTk+fk4yPpmnOD6zECY+R70rPsnQQT4UrTk+SX4zPrDRNT4a1T0+mo06Ps95ND7fAi0+gdQ3Pv7JUT5XR0c+gpcwPiu6LD5Ajy0+4ckyPhuhbj4OcYI+ntcyPvsNMj4PFkA+w0l0PuvWUT7jIyE+DE8yPkUXJz6cqR0+xvRJPpABZj4sEjY+YdQUPli9Dj62JBU+fDIpPuJtPz7URmA+LSpCPnpdPT6iNj0+IrAvPoQjQj4pmzo+Iq4sPmh+Jj6cHBo+GG8bPmX2Jj6YmCo+yOQvPjehMD59uCc+i0AmPi58LT7xZDU+SFciPv6OHz6bHTM+L71FPg0ZKj40dyc+B/IdPiHaHD5v2ig+UiQpPokzMD493yg+tmAxPlM7NT7EDTA+KlojPqAfKj7Z6SE+St8sPmnTMj7cpzo+xlk2PjZ0Jz5uMjo+EGtDPsuTPj6q8Dw+eQYoPu1sDD6qzAA+Bm4EPrpY+D3i9fM9DtIKPg41NT4yIUI+j6gxPp7xJz5mXiY+ICwlPsujEz7hMfU9t6T7Pe3tKD7tizI+PvYuPowgLT7I4i4+LiA+PoKrOT4z8To+2+g9PnUoRz50kEw+n5RFPsgaPD5fykE+FSFDPg/aPz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9Alpz0VBaQ9ev+ePSTomz2F+KY9P2qkPYG3pT3hdaI9BbuePUsVrz08Sq09tjaqPaWhpj1ntp89zmedPVWaqD2Lcqg95KmXPSq0nT39m6k901SsPb3qsD0Qgq49pnyrPa2llT2XyZ09EgKkPSwNlT2dB4M9Y0GLPb/BlD15CZU91OiVPUzSnj3x6ZM9IlaHPWNOij1g9Y09F9mEPQCTgT14AXI9yFd/PX/Vhz2Wy4I9lptyPbBKeT0LJYA9CmqEPZyDgz1NBoM92RtzPV9Ycz1hiHw9GbV0PRWSaz1LpXU9nhqKPfGxhj0r23c9FS9nPUBjWT3ua1k9bg9OPSKpSj2KakU9oaxFPf4+Rz2ibFE9WdxOPTrkUD2dAVg9WaxYPSBDUT1UAkE9Tk43Pb+lPT2tUU89SpdYPXnpYD1fPF49/11wPQLZdz2WEmw9mSRWPc1OXT1vpEs9TotdPehRaj1dE249XchqPZgOWT1xXmE9WBl1PRc9gT0TQoY9yZeGPSy/fT1qAFI9BLVZPWzZWD2/7Fg9l3lXPfvdVD1nIFE9WCZcPdrlbT2Zj3Q99GRzPSqsbz1TK3M9BVhoPWYaZT2qZ2g9K4hoPUfRTj1AWz89UJ1FPRl6ZD3Aq249krpXPfFQcT11zl89y1NaPR3JVz0KjVI9OzhmPa+udz07qGw9kRVdPa9qYT2HP1s9nUlXPUgUZD2P0WU9iClePRJdZj12oGc978Z1Pcifcj2H01o90p5dPU3QYT3xoWI9rbBXPcxuWD2M71w9QudiPd2cdD0IL3k9LVJxPcFbdD1zAYo9JRiGPSXmZj2sIGA9HFpiPRl5az3IGWU9WaljPVfyXD2PP189VvltPU9hgD1GtXc9tpdsPRtEZj1WznU9xC56Pa9agD3a3Xg9oZ93PYSEaj19l2o9vmxtPR2edD19LXQ9UD+EPfyrlz1BuI49EM2NPXPojD2J0Jc9ciaXPYQhlj2Iz5M9/waSPeQDij3tDoo917qIPV3Fhz3CSIw97TmLPbfkjj3T2pI9kyWMPWRahz1CFYY9ZgCHPZOThD1r5Xs9+0V1PdoadT18P4M9hMmNPYEFjz2DJZI9+OOXPROKlD2R1og9ZZqJPS15jD3DvYw9glGKPbBlmT2TRJ89EzqaPZIEmT2sp5E9NaCbPT9BoD0dyZs9qSekPVnRpD0nU6Y9SiukPZPMoj32uKQ9LaGlPQyOqj2Xqak97qGgPYsmnT0UjJ491QKtPQF0uD1wHa49Dq2UPYCUmT3Tgp89tQibPVwHlz0VkJ89GtqnPTEfrj20X6s9WnmvPRqNrD0fc6c96TWjPcdMpz2DKqc9QImnPdqlrD3xJLI9evu7Pc9vuz0f4bw9nAvAPTclvj3pcrU9nii3PRg9sz1/Fa49x0uzPdXMtz0G+LI9AIXCPXl+xz3w8b09ohK7PfcyuD1YwbE9X5uxPYgQrj1cEaI9jKmgPXzQnz0FQ6A9OISjPZIuoj3+yZs9YsebPVs+oz2FjJs9yZilPYpvqT3BuqY9vw+vPR7ltj3nD7Y9MdKiPS1Mnj3ra5094cSXPYaOlT3BE5k9mZyhPfWnsT1/las9ByumPQrOsz1+27g97xe+PUE5uz0pWKs9LkevPaZ0vT12NrA9/memPSzjqD1yeqQ9UAarPdEvtz0mgKk9D9+oPUIJrT3Zxbk9JE66PYousD1etqs91muvPSdJuj1U+rU9/6WiPZK2nj2d/549ivShPSH5pz1pcqM9F0eZPbseoT2PFqk96L6rPYrarD3dFJM9R7WBPSNHgz2gOpE9YCOgPWM1qj0jSqs9V4SdPfezlD3v6og961eIPeOBhD05CpI9GT6UPRUJkz3WT5w9O7GYPUYzmj28MqM9raufPc0Xoz1HG6c9gSilPSnQqD2r2q49j6qePUpxlj1eRJA9DUmRPV8ekD0XEIo9SK6LPVL+iz2ulJA9QqiWPYr1mz2JXZk9qe+QPY3bjD0JF4c9kIeGPecQiD2s0pQ9HSKYPTyAnD2DHo89nT6WPfgMmj1sZJc9oTaDPTlkcD3wK2Q9s4psPa9McD0Jvng9Xul/PbP/bj2NynA9ytNyPQPNcj0JCWk9nZFcPVjgWT3PEVo9eE1KPS4iRD2HeU89nARYPeMWVT3722U9hG58PfSGgT1M6mY9jC9HPb9BUD13vFU9naRHPUzVSj3Uoks9zDdBPfucRD1pkUw9p/5CPbCNPD3RzDE90uAoPcgUMj3yyDc9z9ozPUTNTD31L1E9vhJTPe/2RT0/dTo9OcE9PWG9Qj2AVkA9lVQ9PXL1Qj1zkjQ9OgorPVRALD2C1Sw9u3YtPUruLz0laTA9NU0sPYJfMj3yjTg9PR48PcsmPT07lTk9kG0vPdMeJD2IMDM9rwJCPYEwTz01Azc9i6wzPZJ9QT1UzT49WbA4PcfrIz1G3Ec9mpX/PSVuHz5fNRo+e0sdPhn1HD5ggxI+lA4OPkxgDz4gYBU+ocUhPkuAKD6CdyA++gAdPsZ4Fz5+xBE+dqD9PY1NbD1BLaM814vRPKgoqj2aDgE+Sc0PPjEZFT58iw8+crsLPmMAqD3piJU8ynJHPCDAbzwra4A8YI6XPCGiRD1GteA998IQPhITGz5JkTM+p3w4PgntMT64qTU+cQ05PpjQMD5BgiY+mfLMPQDy0zzLev07+MrqO1NSdT2drjE+aNciPuORIT46iCo+kccsPsgCLT7JsSI+4TIlPkYUKT4lgiI+YEIdPmjAHj48Hxg+JU4vPuRSMD72wyI+m28bPnIrFz50Sjo+8lxLPpgQNj7hVTM+wssrPkZcKT6ztSo+jY8zPsS7OT507TQ+RqkkPgloID67VB0+Yv8hPh1WJD62eDM+hL88Pn3tPT5BCTM+o0/kPVS+Wj1F/uE8FVCUPDIz4DxuQdY96QAaPpGQJT5jZTs+attbPkzoWT6ksE4+q+1ePn2tVz4x4F4+pLxkPqzuTD5U6lI+1GNDPqadMD4HTTU+/fY1PhWDPj6CVEI+gRZOPvNNNj5lgC4+BpwkPqbbKT6kFS4+pPIwPldQMj5enkU+4ndFPrr6Sj58N0I+Z1YkPhSiMz6c6mM+9FdIPr8CIT634zA+WiM/PjI3JD760j0++ZRxPoZ8Wj6xv0k++Eg9Pu5hSz4C5C8+IR0bPrxbIT50kCQ+rt0uPhDlQj6dfVk+ThIyPrhgJj4HQyQ+OYsjPpbWEz6zfiY+QZJRPi2NRD5UijY+XUpGPoekOT7Px0U+iuk8Ph9bLz7lOC0+QXUiPjBQED4h1Tk+6HknPqHbJT70dys+9ko4PrtuVj5UUHc+CU5iPpGhVD6mhko+8twqPhbQKT6Bgy8+1HA9PixrMz6k5DI+1XQ4Pv8LQD5ywCc+maQWPgizJT61pjo+/hc+PvZ9Jj4feTE+Og8rPhXWIT4XChI+jQgMPqwJGz4UZB8+sEMwPt2YLz6sNC8+7eEvPtFLFz4VVQk+0/AZPvRDFD4kbhA+IfkQPo0rFj5Zmzk+5Lc/Pl7iMj5VXCk+pV4nPkmEJj4gVTc+pcwvPp4vHz4iDh8+hyAmPuBuLD448zA+g0s3PiXnRz7eJFw+8D9zPh9OcD6uyV8+m41WPk9KRz5eH14+qvF4PoXffT5R8oQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9k9dw9lYLWPazeyD1VarU94i+3PbSSsT33hLA9zIinPTIeoT1QlZo9doqfPbrDpj1Fopw9v2mTPYyGkT3PcJc9KCqXPS/pkT2qPpc9BE+nPUuguT0Z48g9wC6tPer5nD1Yu6Q9eWqWPT/sgz2A6mo91oyFPSqejD3nK489pF+VPeremj388Jw9CHCdPabohj1QaHU9XKeCPa9KfT1k23k94U58PSFjhT14GII9ngqAPac0cT1MLHA9QYl2PXd6gz35o409LkOcPSTWnT35Bpo9DcCJPfVqdz39S2M9XBlsPZoyYj2bnmE9eK9XPfNQTz25zVA9j1FJPfBUPT2MJzc9hi80PZLhOT3/4lI9D0ZWPWjwSD1iEks9VzdPPRtGQj0IHEk9WChUPfEdRz3xrjU9YP48PZvMTj2yMU89tSdYPcD5Vj3tm2M9l6pnPauXdz3neYM9YP9pPbkOVj1tKUo9vJtYPQ7faj1DLGk9EiJwPZM5gj2wkIE9OGpyPc3vYj1cQEw9+a1jPdgpbD1Kq1s9OEhcPRbAWT2l0m8996RvPSB+bj0b1nw9tzd8PalYdD08toM9D2iGPWDlgz1EMXg9CHt8PWqThz1J/Hg9A6xuPd+BYT2l4lw9kYdePXb1aj0RH4g9CeVtPbaCWz36v1c9h/9TPQ/jWj3FgmY9WSVfPey4UT1Dm049cV9OPabXQz1Kdz49T59EPeFYVT3dt3A9O+h6PXY6gD1c9G09e7ZsPVQPWj0d+Ek9VKhNPW8GUT0q0l497CppPfPPYz1Xemk90qlbPYVhWD1BaWg9AiSKPRGRij3l2mo9nX1qPTTraz0JcWk9RZdvPS3CgT0UNG490KNnPQsPaD27cGs99d98Pd9GdD3UtXA9025aPaBOXD3GioQ9xBaRPWS0hz2KgXM9OnZ1PVPMdT3mL4E9RNWHPdPWhz3UCYk9km2HPVauiT0DHYg9FGKDPQEPiT08Qo49OM+QPYAGkT0+y409N3yNPTsxiz3104o9JsiVPfD6mj1qzJg97eeRPXJtiT1xsoo9yj2MPQS4fT2B+4M9G26LPc3shz15tos9VBOSPSogkz1slo092AKJPSq4lT2//6I99xOUPcSMkz1OoJ89y0+jPVCRmj3ZjJQ9ys+MPfIfij20AYk9QjGZPWFkqj2LnaA93N6ePZDImT2Yu5o9276mPTG5pT2S/Jw9nMOgPRN/qT19JKo9nJGmPfLhnT0XHJs9kSacPURcmT2b/J49U7upPUaPoj3XeaI9roqgPY4GpT3RyKQ9b52uPZnWoz2xN6c96YmpPd+ZqD3ujK09sfWwPcswpz0oh6c96ZevPRv7qT0MJ689sd+6PXlxsj0at7A9SWeyPRoEtj0m/7I9JFGxPZE1sT30FrU9kxqzPQKAsz21iLY9lDG2PRijtz3GKro92021PX0+tD1oq6g9R6WkPcIZrz19+bY9PF6sPUB0qT2qFKw9V7WqPbqSnD15eJg9vo2aPdObpj1UZbE9T1WvPdp2qz2tT6g9IKmlPdT+nD1IMqM92cuiPdAIoT06DaE93JClPVl1nz15L509O7GkPUZJpD00nKY9JZugPRmGmD1cl5c9oq+aPXLwmj3H6Jo9Rq+WPZRmnD3wjqM9gD6aPVz7mj32OqE9Wr2nPWmrrT2bxrY9NUmyPZuEtz0Hs8M94LO9PR0Iuz3kKK09A92uPep7rD2PQKY9JAyqPUYLtj13pLA9oMGkPZObqT3hgK89x766Padytz2wd7Y9eLKpPSW4nj0ee5g9p06RPSWIjj3Co5E9bEecPex1rD244ao95FWkPU3LmT3W1oc9HPSCPRQXgD0u0YI9pT6LPY2Bjz1or5g9kM+OPeK9jz2o8ZQ9mpKaPYP2lz2HfKA91PuiPVClqj0jdao9WY2nPV3NoT1v7aQ9zruZPa2YoT3eM6A9AhCYPdcinD0BLJI99h2TPW5Blz2TbZg9ewGcPROalz1mopc94x2bPS/jmD1GMJY9Rv+nPeSWoT0UPZk98u6LPbj/iD0dbok95SCFPd6KbT2Vb2M9bhdnPQ9bYD3nqWA9d2VlPR90YT2C1Wo96WdzPdIvaj3m1GY9jvZRPW5jSz2VGE09yVBMPecBPj0cWTY9ViQ5PcGHPz23d0M9VyZGPXxVPT1oyEU9zVxIPSu3Uz09uXE9XzFqPVk9Vj1iflY9bwlSPacaOT3s/zE9+j8tPaaFJT0nMCk9b3opPX5BKD1Rpi09XP89PbEIQz0mKUc9NlNEPa3/Mz2q+S092AYwPYsCRz1xwV09NDtdPQ+NVD3de0I9UCIvPfneKD363i49dhcyPUTIND1atzI9OGQvPbahMz1rn0w99nNlPYb7WD0hYUI93b5APYS8OD0exzM9I9kxPdmgOD2ArUE90Rw/PdHxNT1bRBk9zODzPBJ3/jwlkIE9YK/QPTJZEj68rig+QBUsPqUyJz5OMRs+MhgXPvq+HT5FjR4+EPMePm2RIz43ayw+CEkqPrvtIz4JhB0+olgNPvRL6D1Zl1o9gaTTPL9twT2jHhU+qI8bPnU3Hz416xc+0kkXPnrtEj4HBK89kyiePL0bbjwI55U8+JakPLIupzx738g8snj0PDQvBj1EnTo910SgPc5jFT6KFy0+zycmPubMIz7Q5zQ+7plDPjASPj4xKw4+dzHMPaWtvj0vaA4+vqQrPlemGj7MTR4+LUUtPnl6Oz62b0A+k5crPlwFGz4MYRc+cMkcPpcqKT465So+UHsSPtdvNT74fig+KxEYPsZKHD5LAiE+zXJJPoNUQj78uzY+PtU6PoXgNj68aDU+BrExPozfLz7z7is+M5w2PsaELj7OXis+CZcpPiHqHz75nh4+JfI+PkJMOj77ZTU+IYcnPjSkKT5GoTY+gB4mPqttDj6dcK0914tsPfZRvTxD1XY96KImPlXJYD4e3ko+hdZNPkhyXj7Db2I+fwhbPiT8XT6ApUA+QCg6PgpnMT46oDY++jYyPu25KD5K2jo+dThIPqN6WD5QoTs+y+0qPpiDJj775zI+zEEsPuI4HD4laR8+XdxCPkYoWj7B8Us+ezJDPi6+Kz4OBC0+2EtQPtK4Tz7Jj2g+B+FrPmlPWz7TGEg+FmlmPgsjdj72pWI+Ic5EPhRMNT7UcSU+RUImPiHaJz6AJiE+A2QsPgYXJj56akc+vVY/PsucSD75WW8+Ja1cPgU6UD6PHzU+gaMrPnPAXj5+wVQ+vyxAPh+MTT7LOD8+zzVCPsA+OD5i9y4+SHMuPts6LT4pgyg+IMslPpHILz7NXjA+4KIyPsoeQD4NFFA+mYiWPnCLdT6m5Fc+rGIoPtUxGD4LTSg+Ffg7PiHKUD4FlDc+CgA9PmarPz5Vp0A+gPMpPvbfIz7VWi4+e3JKPjjRUD6/DCE+X0wxPuJxMT6azQs+mdn3PbHQ8T0CVPU9xD7jPakQ/j0vQxU+7fIkPntNKD6xDjo+mQw4PhiGMj7IjiY+KUIoPrilKj7mBy8+9xUtPsLjLT5xxD0+0+tIPik+PD4VvT4+nb0xPsf8DT4skQI+IpQJPiR6Hz5l6h0+ZZkVPr65HT6v3yM+mxhDPoQ/YT7BM2A+eCZXPlYWSz4aBUs+E41xPknbez7G/Hg+u/NwPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/H+PSPawe3D1q3tM9T0nCPRqZsT2QiKM9oJKYPdoHnD3aQKQ96jikPb7DnD1j06k9CxOzPZv8rD10FbE9wriuPVdAlD02LJo9EsuVPSFloD3Ap6k9b6WnPWHulT21K4o96bCEPQ3phD2Ydok9PISJPVEXhz0tXoo9y+qTPSTdlj3Ptps93g6aPU4Omz3EIIA9mcZqPTuJcT0zGYQ9BGqCPZmKgD1oJ4g9tZWKPST1gz2d33w9KV+IPXywhj0gpIE9iG54PTlQez1zFIE9bZZ3PQwMbz20vWE9/NZkPXBIYz07rF49CKVVPbz9Tz1WMk898yZOPc5wMz1as0A9SPk9PfRmQD0GtFE9Cm1MPdg0QT22Jz89frlePdv7aj1WHWo9Tr9hPZvdWj3Lplo9QQdUPW5kTT3tH0o9/jFOPd/zVj0l/lM9cTVuPTqpeT3eE3c9ws5mPRZUWz2IxmE946VlPWCaZz0Ue2892klnPTnBZj1BHGw9G8N4PU7eeT2rF3A9TGxxPdrNdz2LanA95yBjPcV5ZD25NHQ9F4J6PaToZT1T81893RxrPbCqdz0NA4Q9qKR8PSWobj2jjHU9CTF1PZhvgT0x2YI9BqhwPZl/Wz0p1lk9pgZvPR44gT2l8II9RfVxPd0eZj3/bVw90zdhPfzRXT03Qlo9Mg9gPXERVj2+nFM9wnZfPWaEZT3ueGc9VOROPVvtWD2Lj209mAFvPWpEcD0FGm890T1TPTbqTz2GSU09ql5SPZZXXD2TwV89lWBsPSw1Zj1K12Y97GFtPSzeaj1hYXE9ddV8Parhgj1bvXo9qWxyPe3ydz05XHo9n9p5PYnDgD35W4M9Jr13PdD6Wz1AMGA9lpduPeK8iz1Teo09ZcmMPSYXjD04j3Y9MRp4PV/gdT3XKXM98mx5PZkPfz2M24I9aeWAPasNej26in49OWCIPY5fkz2xMZY9zLmTPfHSjT2xx489fFeLPUhwiz3JJIw9f8yNPRHilD0qDJI9SviGPeCFiT0JAI498juOPavuiz1OEYg9NQuVPV9Goj1PTo89I7GNPUjdkD3KiZI9GGeIPZsRdT3FvXU9b1J/PUu1gz2IbYs92SSPPf0Ekj0oU5M9lvGaPYTflT3Sp4s9C9WOPT+1jj3u1JA9u6OTPYkalj3QJJk9F2+PPcVtlj3Y/6A9G7ijPfnImz1adJI95hCRPYxSlD0IfJ49V1aiPZmTqD2iYa89orGlPaF6qj2yIqs92zeyPZUisz0FCKM9Bu6qPZ05rz238K89HRq8PeEOvT1RCbI9FnuyPZEerz3/u6U9phOoPQjCqz3WGKk9sI6yPUY4rD39dqk95IGqPfk5qz1I9rA9r6K9Pdx7wD3rK7o9umS3PW+gtz1zUcE9QoC4PdSGuT0FbbM9Bj28PQcOwD1fFc49lPTPPdM2vj2WILQ9yW+9PcZYxT0mDMI9WHe3PSqLsD1mL6U9L8+ePQ2rnj060Zc9G4WbPRoynT0Y+ak9equ2PXwNqT1LNqg9tqymPXAdoj1biaQ9h56mPb89nT3vaZ49JHaiPa/8kz33TYo9mLOOPZT1mD240Jk9ZYadPabBlz2jao89+5WaPWCqrT2WNZ49lKyZPTwWoz3hiao9iIOoPUjrpD2xVqo9GUmrPSKUpD2lpqk96jalPa6KnT3bS6I9tamlPVx1pz2ajKo9xpWvPfuorz3zGa09VauzPbSKvz1dqrk9jk7DPcBWtT1GsrI9JCKzPT4ntT3dlr09h8+hPcHqlz368J09DdagPWKgqD2SMpw9ml6XPbAEmT2A7po97YyaPeoUlz00W5I96X+SPX6omj1USZ89MR6jPZoLoz2gyKI9o2iiPWSBnT1QGZc9+VaTPUMhoz2GNbc9ZcuzPTpEqD3uVas9CyGrPQ8gqT1VIa89b6WjPVCrlT1D+ZA9aVSQPRPdkj1loI097uWYPRZvmj0EsqY9qLasPSasqz0hiJo9WiaWPVx4kT2W7Yk9ezyGPSMJhT3/74Q9a96CPcN+hD397II9F+R2PeG7dz3SB3A9zqptPTT8aj2BXFs9/XR1PTktgD1TpIw9LbCAPUQyXz2+zUo9rtE/PbA/Pz2QrUI9LNRJPVjGRT3HpkQ9jdJDPevZQz0f3Ec9yrlTPcJiWz3Xa2M9HrBrPUctbT3Kemw9lKRdPduSWz2Hhko9dKgxPcg1LT0MLiA9gSkePe7jHT0S+SQ96vIpPRuoKz1ZsDA9tLM6PUTKQj2hXzY9nFUtPWK8Nj1KNkI96I9hPQzKaT3CrEU9DBEnPZPtJD17gSc9uTE1PTQhTT1r2UY92jcwPUa5Oz3BGT49orxBPWotRj1n8Ew9hoKaPZGVnD3PgX89uwE0PRuWPz0iwEg9Q4GAPV2dzD33a/s9YvwEPtNV1D1NRVU93yZrPYAixz2m+eY9by4RPg8SGj6MDiU+1kQmPgQVKz4y2yw+/cghPiH0FT6TYg8+TC4OPq4/FT53uB0+clgkPngyIT5onBk+CGwXPugHDT7jRAo+0AsNPuSHED4AsyM+hncsPlA9Lj7k2is+zm0KPpW31D1Mt7k93J2YPUVMDD0Dir88aHHEPDWGvTyie988pfNgPfX9aj0I4C892VXTPOujjTxnJHs9G3EXPgtfMD5AWjY+kI1HPoTVRD6+PUI+yPdIPpSRSz4zhT8+r102Pg+gKT6X+S0+YVs1Pq7QNT5uzCs+xhIpPmKqPz54oEI+cxZBPspSNj6nXyE+xjsdPnLIMj4Ye0M+k1ExPu6FPj5OijU+C3sxPqFuRj4Tkzs+uiEpPvGtLT5/rDg+nRU+Ph89Oz5e+jA+894hPtpyHz4gYSI+caIkPkAZKz4X2SQ+cdMiPiaDLj6FfEQ+5uw/ProfPD7xbzc+lYRBPrT2PT502Sg+pFwpPi++Hj5trPM9FU23PY2T/D3ViS8+8DUgPpxGKj5DJU8+GX1tPvuJUD5T7Cc+XSoaPma9HD6fKy8+oK9UPiu0Oz7cWko++bNePh/+XT6H9FQ+KFlFPvOFMT4bpS8+MR02Pg13ID7Kxhc+8+8xPha5Nz4eqyI++lsiPvN5LD6AVTQ+QcA3PqojOT4pxCU+1lZUPiRnfT7mIGk+0SYwPq1bJz5uZS8+fww+PtihST44nCo+H/IQPqTbGj4OMB8+soAePqC4KT5IEyw+NEE0PuHbIz6ExjE+qQNdPqNNgz4cB4Y+zJRYPhnHEz7L9kA+I7tZPqKMSD5HTEA+iHwYPj6TWz4XwEQ+daYfPl1gGT4hQBk+F9xRPnDyNT7baj0+iTo8PnNQLT6TxC4+xlE3PrxXZT5KCXw+TuKCPgW9Qj74ISA+iEAtPhKwOT6FNEo+NdxGPr33Nz5DJi4+pDA5PqT2QT548Dc+j+EqPlVbSz5Ds2A+PuYkPjpV/j1Wtw0+5WcFPktxCT6tTg0+mdwMPuEmBj4czww+748mPmvWLj6A/TQ+BLA7PqA9Mz6I6Cw+3A8uPpn7LD782y4+mh4wPqtEOD6AnEM+mtZFPswuNz4jLTQ+ZmAwPoA7IT4y3CM+s2ErPimBLj7oU0A+Xfo7PoefIj7aLSY+l9sePmdXFz5TXkA+o8NKPn9NZz7JZWg+FHRFPpvgNz5/Ki4+LXoqPioZIT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9tB6z3XmOw9nXPHPRdFuj2qoZs9uWSjPdStoD0g0489TqSYPT7Gnj3/wqA9r1qfPfdGqD3H7qQ9UX6mPYWmsT3/76k9gnqZPUxxlT2EqqU987mrPbmvlj3jR5E9M/OCPeBvhj2aiI49IxiJPV2Ggz3GpoM9wHOJPQyTkD1fL4o98jF2PQbTdD3x0XU9/rp2PR7Lhj0wbIc9/ZCGPSVngD1Qmn09ziJ0PaR1fj0XqIM91VJ6Pa1gdz22inA9l61oPZILZD36CU09rvhuPTgpcz2jsGc9Ly9ePSfkXz1roWY9hBhjPYz/YD3daVY9GjFQPWL7Wz2lZk89Os9NPSnXVT2S0Wg9MMNyPcmAYz0vk0o94cphPfazZT0/NWc9hepbPRluVT3DFGE9aplqPcIidz2YwXk9nzNwPbyJaD2XYV490yxhPYiSaj0ZKmw94ZxrPW/Raz2WvWw9s25oPckYXj0kgGc9t651PVdHbz2jp4I9Rv2APdG0dj0gtXk9gcB1PXqcbz3GGIU9WtR+PXPqeD3532w9dORiPQhLVD0o5lY96VZhPdtjeD1jbng9fY1zPQ4TaD1WP2w9ZQ11PRjfaT3U5mY980lmPf7mVj2AQFE9ThFlPRgRfD0DiXI9Ip9pPc4vYj2xQ1w9TXtVPV+xUz2qx0w9euRKPYJ2ST1qNEs9sFVaPcuQXz0Jpl09UjhgPZ6rUj3JGlk9kHVjPdjdbT1MH3E9cD1kPWhuYD2O6lY9JTFePU8JYT3awVs9VQ9nPZCzaD1VrHU9tFODPe7ndD3szGk98IdfPfm2Yz2McXY92810PV+FcD2qyHE9pOhyPXGVcD2Qp209n4dqPSWTbT1z5HQ9wyRzPZuVez39oYk9QsODPS+ieD163XU9OZ9zPZ2seT3PDng9tGV1PcPfcz0r3oE96+aBPclthT0im4Y9AOJ9PWlWhj2MS5o9uGSXPYEoiT3/5II9RE2EPVVDhj15JX49/3uEPaItjj2maZg9DG+gPZvskj2wA5g9qpOePd+QlD1e4ZY9XLaYPTPIlT0gA5Y9MN6OPWqQjT2nvoY9S8Z9PQTeej0nmIo9kYWDPeRfgT02+4Q9VQGOPXyTiD1Yu4g96UuRPd1plj2KPZA9nm+FPUjkhz07Noo9KESQPcpulD24hZI9UkmNPfMmnz2XIZU9x2WKPRzOjz1UzY09W6+KPRxOlD1aXZE9LaGcPZ7LqT28Oaw9kq+oPX+5pD2yIrI9cnSkPXZbqD0HZq89uQaqPXIMqj0Se649WRKvPYcmsj30NrI9ZOCrPS3Erj2ng7U9GKi1PdptuT1gTbY9CcesPZuwqj1fk7M99AG2PUMCuT3E3b89Mc/CPWIbxT1fsL49EBLBPcEIvz1jeMM9NbHEPXeXvz3J0sE9cg7BPS8Dwz18Kro9RCa4PbzDtT09kbs9bDrCPUBRvj1F77c9CE+2PUyrrj3Cfp49Df2XPfPhoj0WhKU9vfikPWi5oj1bYqU90K21PX0muj0+0Kw9NjGkPY1Cmj2n7oo9a8+OPZHymj0J/6s9XqStPZeHqD2/E6A9T/KXPYvMiz10w5k9/MSdPb8xnj1f46Q9SSufPTEemj02ZqA9JRWjPW/IpD13ELA93QmzPemYqT2yLrU9v2O8PfNxyD3kPMg9vrS3PX5Nrz3uUqc9UjmkPQdmqz3HELo9biLCPQW5tT2rnKk9uzOyPTffsT0vma09ncqvPbrEsD3BgrU9gva4PfZCuT0oUrY9SKqoPSC5iT27Ao89oyGaPdE1mT0btJw98Z+gPS8kkz2vw5Q9R6mWPb8emj2W0pc96BSSPYO+lD2X5aM9riynPQJppj31Iac97IyiPeTNnD2CaqM9rM6oPe5Wpz3/Pqs92gyrPbHQoT19p6s93t+qPcBnoj1ERpg9mgiWPRPIjz2bGo09PcOEPXv3gz0+sIk9ll+YPdBIlz1B6YU9E0F7PXKogj3MboM98oqFPbOykT1qGoc9Yc6CPZe7iD11v4o9mOaLPbpxgT1Cy349PsiEPSsvhj2FH4Y9pXaBPSZfZj2sQ3I9qLBtPZ4Fbz0wkHA9XUJsPf8aTD2aODo9zZs+PZ9wPj3ZYz89wKBPPRJIWT2WEFs9bV9bPXgDXz3dPVY91RhSPTQoTD0iwF89Zl9zPcnVeT0Xc249N7ZjPdPfRz1oJkM95f9VPTCaXz329kI9jc0/PbiZNj3A7S894rIrPW7aJz3FByw9NdQvPT67OT0fnzs99w85PbM0Pz1F6Uk9+R1IPR9ARD3g/Tc9RTctPWUCQD1jIFk9BWFXPftsVD0ylko9ByM7PfGJTz2nYGo9lGVmPbkrVT1Jxkw99g8+PUhKUj0J7zs9a5syPRaKLT0rGTg9vV9BPSPwbj3Ic+M9/8k0PipzQT4X0w0+56z1PSeXGD457xA+AZEWPmJJFT7cpiI+n20pPqfDJz5royE+4BAdPi2tFz6UHBU+zCUVPtC5Gj7IrRc+isAVPmCYFj5gJBc+7PMRPiPsED4C1Bw+GFgjPtQpHT7x7xM+7sUjPt+QFz5aKMk9MhZzPYxhID0x2dM8ycvSPCON9DxNRPE84o7oPLfX2DwqjNA81mylPbBvLT6FmzQ+EDwNPhrp+D2EKts9dbbmPTBsID4avFI+IQNVPlbZUz5e9UY+ubw/PhOTQz4o4GQ+I7NGPmSIND4FNDI+aak+PpAVSz5BPDo+Rh05PgVUPD6uioU+1P+GPltEWj7TqUg+EQY5PjhdNT5i2zY+o7E9PlKYQT51RjM+NzI4PmqbQT6uwU4+MJA5Pg5NLz7SdjM+wjU5Pg37MD7eBTA+4YEvPtr/Kz53oy8+QpknPusuGz7iNCQ+op48Pg9bLz48qCo+wng2PuZTMz52sjc+DBlJPmtVQT6sqyQ+h9EwPlXSTj7x9U8+8+1DPpSDLD6lVjc+Oqs+Pt+cLz4nxSw+ye0xPrNaQT65kz4+qO1aPkeccT5D9Vw+shJePnIvVD4vKU4+VXhmPoSgoD7YOJ4+DOWGPi+2UD4B2kI+igUuPo/CLj6r0Ss+Wh8rPk/AHz7HDyM+bc8xPrVoGD6TnRM+dJcePnZyKD5DfDk++JIxPjVVMD7/tE0+4HViPoLNRT7uLCI+tzxYPqPRPz6RTzs+gjkiPiq6ED7foR8+sY4qPtwuKz7FDyc+AYotPjSoJz5WQS8+hMQ+PsxwSj6ZJWw+LnqFPq6EZT7Bazk+hnE5PhFtRT7UAi8+R+gaPrdhCT78jTc+yMs+PvcoQj6VYzo++R4xPqQOOz4GuDs+bg0uPlJPKT5+Djo+Z8ZDPj9IUD59ooo+cGiePg8GVz538hs+hGAePrS+OT5T/Bc+ZNo2PqrxQD6YGTg+cmQwPq0TNj7Jr04+/N5CPs17Hj7PPxk+vZ8cPrN/Hz5RVhA+bh0IPjVMCj6QGA4+hG03PrcUPT4twCE+vcskPktSQD44nUQ+eMNAPrB9Pj6ouy4+QbclPr4uKT5ZQig+VvUhPuIfJT7wLjU+7yIePuYOEz64wiM+EAstPvb7Lj41JTM+NMkoPl0pIj7aghc+1fgSPjltJD5RxDY+2pM1PrJYMT5czx0+AkY2PuhMRj4p+FA+J29UPq5lRD7TB0g+yQ5CPqAxQT7LtUA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8RX+Q9zc/ePdocxj1IFLY9axWwPaMxqD3WOJU9DmmRPRE0lj2wNqI9EG2jPaXrpT15Lq09I7mvPakRsD3P27s9mwO8PQmJsz3ru6o9+uqrPRsdmT12f5c9KtOYPboilD06mYs9PXeKPZpqiT3z74s9SaeKPeEIiT3Gy4I9GwCAPWaIhz3AfYA9EBiGPV+ghj17Poo9aUOLPQxChT0PR3I9pHxtPWsSaz03z2k9+yJ0PemHgD1R92I9RhZLPQIXVz0hoVo96N5VPY/SeD3r4no9+mN5PVrWdj2sWWo9mhJbPdwvRD1vU0U9iY1MPSGTTD3GyEg9KcZUPek+VT1r6289JJ2EPYwojD04OXQ9DgBPPczrVj1DT2E9aadlPYrPYz0smWM9+pJoPQlbXj0Dj2c9RlpzPRarcT3hOWE9TiZkPeb0ZD0LvWc9G0RoPZwAaz2f/nw90sBoPWymcT3cV4E9TQNyPZ8gZj0g+189pXBuPfaMgD2J9IE9GIt9PfbifT2Vcoo90zeLPb0rWD3dLk89As1VPQp0WT2kW2g9VYJ1PaIIdD1EOm49/jliPVsgYz1GWmw9nQBvPdiWbj0ayXQ9xNRrPa5ZYz1vQFQ9eYdSPf7HcD0Vw2s9qJNsPR6sbz30HHA9EKpwPS8Fbz2koWE9m01kPdW6aD29Tmc9/HphPXj4Xz0cw0o9x9ZOPTvwWT0+SVo9GWVZPaL5VT0cTFs9zSpfPRCbWD34m1w9k4xwPc6+cT2/tXU9fIx8PUXqgT380n49kOpuPbEIZT350V09JCZnPd5Kfj3RAn09EgR9PSeKcT0vP2k98w55PQ5Dcz0cD2Q9S5BkPWFUeD3kOnQ9UDpwPZzEcj1zUn49SUCDPYpagD0xP4I9jmyDPUMogj3GgoQ9UKeCPc1qhD2j+oI90ViEPf2Dgj1mmYM9jHSLPYIYlj1H8ZY99a2TPY66lD34co89FHWPPaOKhz15Eow9NyuEPWAbhj2/tow9NsWLPRjrkD3sOZ89pmKcPUS0mT0pe5c9D5CTPd0Klj3OspM9mQ+OPcEkkj1dW5k9rZuYPXg+iz1hw4I9X+eQPR1Blj1CDZM9abWNPad8iz0cP4o9X7KQPU6Rjj2vTJI9yb6UPUYsiT2O24s97zqUPYv3kz1KC5k9oj6cPQBCmj0cRpc9ejmdPRybnz0NkqI9riGfPYQEoj0jOKU92DmfPQ7trz1woqk9oUahPY9Zoj0QZZo9RVSVPQCkpD3RuLo95TK7PT9nuD1eebU9/8uzPXc5tz3idcI9R6nLPYD0yz1/Q8U9QrC+PdLntj1u1bk9ifK7PRpTrj1AlK49QIi0PY1/uz3j9cY9kNHIPagZyD2f8cY9BWS8PUABtz3Burc9o33EPcMnxj0qcb893LWyPVPNoT3mKKk93lmsPRMgqz3ebqs9GtvAPeEYwz2YKcU9D6O8PQsUuT0ar7o9opS0PZqZqz3aUas9cvyxPZIIsD0Un649ZI6yPeV7tj0T3Ko9JQGoPWLJoj2tj589GiibPS/kmz38xpw9VQmbPRCJoD3YDqU9wKapPRC6mz10w5k99vypPagxrD3weKY90gGnPWzTqz0YAqQ94LqjPRe+qz1ksak9LHuvPcHntT1Hha897E+1PeWerT1rfKw9hVajPWvenT0Eiqs90xW+PS7UvD2i0rE9S+eyPSiFqD0wLJ49p36mPaGXqj1lWKk92qalPUWIqj3iQqQ99p2bPWWwlj1BZI89Gf+RPfORkj0IKos9thaKPX9JjD2pl4c9kKGOPcJCkz2RVI49fjKQPTNyiz2ihYc9z1GMPc0wkz099Jg9RBenPaTjrj1QQ7A9j9ywPa9Gsz0DYLI9A2eyPaTHuD38abU9CrqrPUfPnz2/l5s9++CRPZQWgD2cLoI9FqiHPXEUhj1PXYA9u3+GPdXjjT0m64s9isiKPfOVjD2Yh3w9U7t0PTu5bT2WrYE9752FPVLpjj12fo49F4SLPbRCjT19m489n/6PPfKVhz02PIQ9hPqBPcDrgj3yCnE9gnpoPagIXj3UqHA9ulR7PWQ3hT20+4c9ZQKCPR22bz1JQks9JDVJPeNoSD0qREc98dk7PYThPz0l5U49b3NcPfBdYT0uYVo93ZtWPbETWj0ZP1o9qNZgPTmNWT1LJEk9LIE7PYtKOj1rtz09uldKPRqDRz0iFDI9xlggPVSwHD3nGiA90RYkPepSHD3c4Sg97iQnPd/XJz1vKDM92LNIPbtaSz2xUT09KOg5PSbyOz35lj09oDVEPRaMSz1/ilU9fUtWPfxeUz1maUs9oONHPc08RT0OEFk97UtSPVAGQz1Wyzg9GUEtPSXHKD0K+jg9vKgnPbJXHT0Gyyo9dvg1PZCtQj3+8Vw9AUduPeb8hT16SJE94GO7PRYcBz5Zzyg+TKIZPrHrFz7Ochw+Z6UWPr6ZGT7kSyU+nOggPvNxHj5YhiM+emQdPr9iHz6KwyY+F2QhPnyRGT6q7yE+BJsjPjeaFz5v6Bc+mdgcPqx/HT50Fho+wE8VPl/iyT3SOTk9IM7hPAZOqDw2Q6M8niOvPANIuzzm+Mk8GNnBPFpjwzyPJcc8/WVcPQj7Jz4IAD4+xxU2Pj0oLj5Swio+zQgWPv/mLj7diio+GyIuPudBTT6sPlU+WRJIPnY0QT7EF1o+ALpdPiWPWz4hg00+g4tJPr9lbD6WUFk+FdZBPmGiZT6wpl0+9FlhPirUXz53al4+OXBrPot7SD6n9zc+UWwzPgM+LT76Ri4+4RM4Phr7OD4GZTo+arE3PtprLD4I2TA+yHArPiziLz6HvyY+T3YmPnupKT41Ri8+/o8pPkLOND5AzDI+oawvPuuYIT4/uh8+oJc2PnlMOD434yg+hxAsPjUqPj7UKj4+G3AjPr7kHz67rDM+qbwzPtUuMD7SWyY+0Zg0PnLULj6paSo+YY8yPt98OD4Ii0Y+HVRHPlaHYD7SlnI+7FBlPjTUUz4BLTs+mk86Pm5LUT749Zg+1ZWfPuSDjD7Ty20+ki5WPo0nPz5dZzs+4hVDPlUZQj79eDg+L+M0PjANLT68vyo+pRw1PnRDPD6Zijs+Tz0xPlcNIz5fDi4+DdQfPhw7JD6sV0E+YHVhPsY7SD6agTM+4tAgPmKcHD6zGxo+B+UZPoS9KD7csCk+uaoiPuV9HT4DtBg+639APkViVT7HAlM+fQtNPp4pTD5+fzM+UetBPk2mUT7F8kY+7BgZPn2WAz4INjA+81JePonjPD4U0DE+iPstPkH5LD4tSRw+ZwIoPhzTPj5RzTY+u2VAPh+HPj4yEHM+4720PukIWT6kVAk+fi4ePklaNj5R81c+EPFWPoBCoT6ZRlc+IWguPiisQj6Jz0g+31VOPhhMPj7diCQ+CiYjPhjBGT6E2BQ+5U0GPlRlFz6M/SM++pYiPuEzSz70hUk+tAg8PrpKOT5yN0I+JOI3PvqtQT7zPUM+qBs4PrPKHz7iZRw+td0mPj1fKz7GCjA+m6A9Pon9JD7hnSA+bE4xPqp0MT5OoCA+510QPjpSKT62QEM+dZwzPkUKGj7gJjI+dpA+PoMgTz5J/UY+MQhFPsYuRz52U0Q+WrJGPuChQT4N9j4+LTRfPiL6Tj4jxEI+I8RCPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/3HDIPRz0wz14k749OBa5PTnesT1l+qE9wyqdPRo5mD2VCJQ9xsyePfPVoj32ObU9GXOsPfe6qz1p6ac9H0atPZ2Kpj1X16A9xi+TPcTQjj1ycIo9RwaRPXJHkj3NAY49hwGIPXVHdj1Unnk9EaKGPVJwgT2SVnw9NaxsPawdcj2loIc9a4+LPaq9iD1g+Ys9gJCVPSGujz31N349I3GIPZ3cgD3X7Ww94C5rPRBjfT03pHE9Z1VXPYJOWz3/Z2s9eE96PY7EZj3j4XM96e11PQ5lbD0s2mY9JsxfPX+IOT1qNio91aQ/PSgwQD0hgzs9V9dTPb/5bz1Li149N/JcPc32WT0lkVc9cPdRPRkqTD006VM9dflUPQOgXD2UiGU9kzRsPWkrcj2mvGc9zzFyPZL5bT2RNGw9KlVoPdrdZz0ReHE9uhd4PcGXaD3BS2E9DiRkPf+NYT1EQGY9NbRyPQVadz2E93U9FCBxPdSlaj37/oA9VvWHPTqgdz0ujWc9+cxjPcLkZj3LLGw9+1NnPbfRYD3xHHk9ADWAPXUkez2cxm89WfB7PfkJcj0j1Wk9/qpqPTN+aT1mK189kZqCPUc0iT3nvWE9WnBWPQraST21wGE91WB8PTutfj0O2389MjuBPXi9ej0JsWc9p4dgPdVxXD31rls97N9bPeTSUz0EFlI9wrRRPY1pTj3/Iks9aAJNPb9MUj0XOlg9YvFjPRDnYz2NNVs9pi5gPREfaj0y3HQ9E+aCPWgegz36M4A9jCF6PeuVfT3ign098wNwPYtbcD0M/H099pR4PWjHdT1J/3c9nJl/PSuDgD0AyYA9sCJ9PcDxeD3O13Q9t5d3Pcj/az30KoM9BKaMPSFrhT0SGX49eb6IPQSLgz1baow9FBWIPclcgz0zQns94Et/Pex9hD0P+Ic9qnqKPfAOij1HUo09SUaKPf/VjT2rJZA9tdiWPXlImz0irZY9wpOOPfAQkj2LEJM9XfiOPSWFiT3irZQ92kejPW2knT1nYJ890O6lPX0SpT2aMaI9rtqaPU7Biz0IHZc92G2bPayylz3L75Q944eYPRMroT0kBKE99r2ZPS8QlT1yi5A9AMKMPeIzlj3sVo49DBqMPfvJij1v55E9PkqaPdJcnT2Ttpc9QEOePS6unj36Dpo9062aPXT0qD1a7Kk9Zm2lPcQdoj3C9qE9NS+mPREFsz3e3sI9BP+xPfGYpT2AlqQ9ZtSkPa8Npj1gqLM96p++PXYqvz0Qmb09QCq3PfsltT1x+7Y9GmC9PS8owD2v+sE9/PC+PZQ2tT1uYrY9F2a6PTlFsz15ra89hXiwPd+RsD0L5Lo9erS3Pc9Ppj2QOqQ986ukPbPYqD0SyLA9VImrPYdgsj3zObs9DQW9PbH0wD3wRcU9xYrOPWWCxT1LGcY9wWPDPViIvj0LQMI9dSzMPQ3lxT3vxLg9o4q1PeaEtz06Gcc9sYi8PUpusj2qdrM9cUm0PVgJuz2HpbI9OlGjPbGAkz09HpY9nlOZPUVqnj1g86Y9uIexPWcdqz0n6K89NrawPYkTtj3K+649BEC0PYn5qD3qE5894gyhPUeWoj2Rr6w9vEOuPfZBqT3kJqo9RZGnPeEruz0Zkbw96SujPdymnz0fqqc9KGWlPSWdoT2IU6U9OaGqPeKDsT17uqs9V0yjPTmKoD0qfp095jWgPSICpj0bFao9owCsPaWjqj0o0LE9miKiPRL9oD30aag9ZtKhPfsspz2u5KE9ozSNPR0Zij0mwY49ciGNPb+siD1uBIE9q7WFPdWSkD0CWI89KsKTPUYzmT1xXpY9Yr6XPdzupD0iSKI95baZPVvjmD2QZ6M9Vw6kPXSMoj1COaA9492gPfWgnj3Glp09WraaPXr7iz354Xw9jF+DPfvQhj1tlZI9OnaUPRxulT0H05U9Zy6PPRc3jD0P6II9uJqAPdtpgj1zxoA9M+WFPRILij1BxZU9k2ydPSO/oD2eN5s9GNqOPTkmij3qXIk98cqJPeGhhD1/nYM9DjF/PaH4eD3yImY9MfCAPT5Bhz3keX09z017PdkDYj2iWVw9G7dOPZnCRj1bUj89C7FGPXCkWT3MOGA9bc9yPRlQbj2NvnI9Z29iPTE0TD09uUk9F/hDPbJePT0XBkI9o3VNPUMETD2l+0g9uTpJPQKPPj2bPC09GdcmPaMCND3R+DA9eOApPRD6JT1vWhw9LLskPZefMT0myUA9yrFHPW+9Sz26JDs9Wrg4PV3yMz1uXTc9S4k6PfqNOj3nLkE9+6RJPXrbRz3ui0Q990dEPYvRQD0gjU89jkBbPXHUTD0XrEs91VJJPahFNj1KIDU9stBmPRqBNj1guSo93Z4uPbKQPj36fmI9WkJ3PUa3hj0Hr6g9QF3hPaNXGj4U0jE+1YkhPlFrEz7sgBc+NqAZPjw9JD5ozCs+3OIuPu7CHj6YziA+gmAkPs3YJD6IbyY+VGQkPq1JHj6X0h4+RdEePqV7HD6n6R4+iSocPiYPGz6s+xo+dhEYPnVL0j3EWe88cFaNPI8TqDxfLLI8j+SwPCKSrjwV36084uWuPCRtsDzSeQA9OSYZPbhG3D3n4S8+hPQyPgh4OT6m1TM+SrwzPsxFIz6VPiE+5ZoXPjdwMD7TFzY+JwEgPrLLKD5HTC4+AW9HPi49Uj5GNlM+9+A9PqvUPD48fFc+4cRYPs85aT7s95w+S5OXPg8wkD4Mpmk+O5FtPu3rTT5miDg+mgR0Pn0qeD5Tj1k+qXxIPiOaQz7Q0kM+nEdCPiObPT4+QCs+5bUwPgYhMD5AnCc+3GUePlxhHT69iyA+RZI2Pu7uPj4RQT0+YsAZPkrhET7z0hE+KAgyPtnlSD5YuS0+EpoePkoXLD7VViw+Q7oZPuToID4TjD8+cJQ+PkKkNj5VYTI+dN0rPh2WLj6WEkA+ZEFDPtN9SD7eTk4+M4BfPgvaYj72CWs+x19yPlYeZD5n400+exg8PlWhOD4ghjM+SYNHPjR/ZD7Hy3Y+kVWMPuI8hj5fWGs+9WlIPvFbPj5FgTg+bNkzPsOiOD6TsiQ+hB0pPm9pKT4/yyk+10YvPhpBNj5RdB8+sd8rPgAdLT7VwiY+Bv05PkOxUz6yMzc+bE4iPgfsJD58FTQ+vFIpPsh2Ij55UjI+Le4xPsdANT7FfDQ+chsnPsdsJj7uS0E+FFs4PrsBMT6/+jU+QCs2PryWPz7xmDQ+yyQoPjZ/JD4bAio+wTBFPpYLYD6Bzik+Ku4lPs1jKz5i5i0+8soxPuwsMT5vi0g+4UNMPjeiOT7d620+IzqQPvhymT7vIzc+7OkFPkO/IT5G8jk+W6o+Prfldj4Apq0+yfBcPiE1Qj4iKy8+rXcrPm5rPT4rCy8+6iolPjLtHT6U7Q4+eOEKPtjv+z1Qhhc+BDUsPpQYMT7KrkU+xJhIPm7vPD7WC0s+HghKPh4OLT7oEzk+b743Po7zIj5FAB4+VoAkPgmYKj5Nyic+uPglPlUFKT6n2C4+et4yPhuZLz4MBzk+aVwcPoNiHT5D9Cs+lUs+PpnZLD6kmBs+6RMwPiP6PD5twk8+hapFPnaMLz4RPTI+wmA1PizGPT7N8Ek+LfZAPrRZTT5M100++cZCPvnGQj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4EFyT2dWMc9zm3MPU9kwT0wrro92eO5PeTLsD1jVJw98RedPUfkoj1HTJ899XadPXMMmj0bbZE9CjiNPWmpmz2+O6g9hiKYPatWbT2u0Vo9KrNePSJhYT3xcmY9tCFoPbWSej0mpng9hvdmPYVWaT2JTIM9zjSAPb4Fgj07IoQ93eiIPUDXkj0iso89O+uNPW2+iz2BlYg9+6uHPaMBhz0ELXw9GVh6Pcaiez1IkYM9L/txPeBbbz3hwH89IoKEPWQdgj3+Anc9wgRnPTpJcD2mn2w9aCZpPZDVXz1/olo9k91DPW7wTT1G7lA9T5NAPXAoUT3LjV49+sxQPVJqXz16tl89FoJcPYA8Wz2V5209GnRmPWiMUz1mgU49xzhaPUlDbz0A/HU9kVt4PT/Hbz20NWQ978xzPb2jfz3gFoI9/PFuPZl8Zj0g+Wk9a8xtPUcebT3CxXM9k/x5PVIJgD0LrX890hJ4PYvzdD0VI3U9lJiBPRrKgj0JpGw9hUNYPUiiUz1ZMnE98F6APX3WbD19LmE9jlZmPf3YaT1R9XY9THyIPbz7hz175Xw9b1FcPXUzVj1MzVw9N7trPQROcz3iLms9ZfxXPSAaVT0If1k9K1llPRltcz27RG89LPl4PfGofD0otHI93uVaPfPdbT3qRXw9I3hxPcOjfz3f53Y9x6ViPfKdYD1BvVM9MSRSPS95aj22m2U9rDJfPWT5XD36xlE9kTNTPd97bz2dXHU9HW6BPcL5hj1y/IU9LNB/Pa/7gD0G7389uFB2PbBIaj1P+Gg9u91/PTUxfD1iZXk9HDh4PWfGeD1R+YA9QwKCPYO7fT3pVmM9NPFePRzJaD3djHI9Bex2PUMOeD0WsXc9q4uBPRfAjD2V1oI9cJ2GPfaqgz1hsII9l81+PVUQbz3Tung9fgOKPb46iT0XLYo9g1WIPSbrfz1EXYc913GQPVEslj3IDJw9pU2ZPeuSkD0aWJQ9nlqmPcs5nD3wSpI9/dOSPRJtmT1xOZM9VFGPPb6ijT2vQoc9RhWJPakeij2qxos9Dd2PPZd7lj2dd5M9bIWYPdWsmz0tUJc92imNPTaAjj2Puoo9rYyHPfldkD1hPZc9lqOQPSDhjz13m5M9duqTPW+IkT0IIpw9/Q6jPXy9oz1wPZ890YqdPcf0nz0z9Kk9x7qwPQVMtD0QP6896PasPc7/qT3t07g9Hqm9PUyVsD0d16Y9gXqmPaQfrD1UqK49mr21PZVAuD2HeLY930m4Pb3wvD0SPsQ9Tv/EPexUzj0Sb8M95tvGPZ5dxj3Ut8M95dLBPQK7vT1GV689JCipPUCZqT1RMqw9+IiwPeuFtT3SobE9kcSrPUk1qj0Iq6U97L+tPaIssz0cQq09dr3IPaKQyT3XTtE9W4rfPcRF4z2OrMc9KCOyPUbYsD1MMK09/HuxPfmxvD208Lw9AFu1PcH1tD1xM709qfDLPTs1wT2DBqo9V+uxPUCduD2iFbw9Yy24PWz5qz1x/Zg9Ra6bPYq6qD3yvKk9IXGiPd6WpD2Td6I95wKmPQTJoD1S9Kc9G8a3Pe6dtz38RKI9O4KhPS9spz225ac9I9qyPbPjsz30LaY9zgScPakCpT3H9KY9mbajPYM5nz0PLKQ9Kum1Pc9Xtz2cD7A9wMCoPZSCmD3ui5Y9tRelPRlksD2bTbQ9eGW5PXHLtT3tybI9M1G7PbWgtj1N2bI965iwPTzToT23X5o9UC6gPbA6nj3dHJw9X7GTPYi/jj03Hoc9Iz+IPb10jj3Bf5E9DsGbPSYWjD3x+4o9FQSJPUHWkj3tm5k9MQSfPSrplT3KHJA9+PiGPZVGjz3g7JY95fqYPcJ4oj1XG6k97PGnPRfNrz28PK89m7C1PcRxpj3em5M9SVCRPY3GjD19y4s9E5aNPRF/kT1qt4o96CCUPVsInD1qgZU9y1CPPQkFgj122349bHmGPR05iz3HEJA9MbGSPT7Omz2OLpc9FmSRPbzceD1M/nI97jF3PbjPgz0YIoc9Ix2IPUsZhD045IY9pd2FPTx/gj2OUIE9wkZoPe4CYz17zmY92SBnPR+4Wj1YZk89Pq5bPZJ5YD3FYnM9Tm5wPYxNZj3f9lY9TgZgPXVwWD0hckU9DV1FPdj2Rj3yalU9J21YPXmwVT1ZA0M9jCVMPeHSTT2xJ0I9BRNBPbR0Oj2oEC49ovsqPcSoJz0VkSc9yc0sPQbaQD0ofT493YlAPXQEPD17Dy89WXEkPWa4KD2gyDo9L/1EPTSPQD3vz0A9QzVLPaxtXD0P5149fY5jPUhLXD02ak49dXFYPaJ2WD2jWU49p9Q8PaZ9ND0QYiI98kMrPUeIWz37/j49enNDPdVoPD1550Q9LPd1PbT9lj1mNcE9uEgdPhUBPz6/0Dc+E04jPjiGHj4isis+jAIjPooJID5sdCc+/A8uPimoJj6ANSg+//wnPjVMJz6lgic+WjEqPv7IJz5wlhw+yz4XPrzqFT4wAxU+OfcZPqnQGT4G6gQ+21C5PaKjlT38Gvw8pHFmPO+Dhjwn2pc8AvmsPEcHsDws56o8HYecPNB2tjwXpAA9AfWJPRUd4z0pZxE+IEw0PslOJz6zUiU+WKEwPhFMPD6ykkU+AKAyPmI+HT6wXCc+3CcxPnVYID7a5x4+WawqPuV8LD56xDs+2jlNPi1QSD7a4Ec+tc1MPq0uUz6QaYU+cxixPj9TqD4l0aE+r7mGPuuiYz7G/Ec++EI0PnI0jD7Pd6A+gBm2Pj/fjj5FqmY+MfBGPj41LT4eySo+mT4rPurkLD6+rCs+AxsnPjHYGz5MajA+XlU3Pk+1Sz6k2lY+hX9FPrDiHD7P6Q4+W0IcPjuzQz7dNUw+ERwtPjl5HT74+Bg+BAMYPqDnFT4PQys+kD8/Po0xJz6PRyg+Q1cuPtG9OD7lcDk+X4c4PvNKPj6nv0s+fDZCPoCPNz5NhUY+a65XPuUycz7jdnM+/eZZPnhkMj5ssSw+AXYxPpWvRz64NEE+dUQxPpM1NT6uYTo+bp4yPtdPMz561EI+QyI/Prs+RD7FUkg+9TM6Ph6hKT6YzyI+KtchPlW/ID6Z1iY+L8kgPrL8Ij7lKjM+GwcjPi4lHj5ImTc+PIFFPn+HSz61mEI+dQhCPkFJOT5xjy0+jYk3PpYAPT4/HDQ+1CU1PuzkLz4SgS0+aoA2Pr4gPj69WDk+TEAzPo9VID6SZiM+j5EkPhGVPT4keDo+Li1OPoI+bD53XVo+w08gPszQHz5gdyY+stMvPlLtMT4myjY+G45HPm4TUz4jY20+70KcPt0xpT7Qwxo+GukJPhXbEz4WdCQ+2MwlPmn7KT6uNoE+iet4PsfGVT7TOGY+s/VlPpKJXz4CMzg+EO4jPlHZEz5VWQ4+ByMDPk3LAj6G+fs9dhcSPs9OJT5xwS4+GCM5PiMhMD79Vyk+2nE3PhrVOT5WeyI+v/UePiNgGz7lPx8+J60oPjD3Nj4d0jg+PPUzPo3eOT7UNzY+//EtPm7xKj7CBCw+07owPudHOz6VTjs+UKs0PoagUj4Kxj8+/KIjPobtNz5COzk+Y7lLPvLPVD69aTs+mos0PkpoRD4NlFU+maF8PuRAaD7/Kl0+349WPhHfUz6xwFE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/f+fI9k1PePWKhyD2PUtM97MbfPVTx0z37dbo9JQysPZ0Vrz0HDKA9qN+UPZeHhD0Y0Xo9dndyPcNvgT39UXE9n/VkPSvhcT1RBG89KEpoPY2dWz2T3Fo9in9tPb/hdz0MEoE9OuBtPROcVj0Gnls9KjtoPd+vcT2Pz3M9EB2EPdZmmD0ocJE9GSWKPRBOjD0ZIoU9J9eEPaIYhD0Ucnc9/ud5PZIxfz1O0IE9o6J8PcEvfj2Z3YU9N+uIPThAiz3Ds4E957t4PQhigD3wJX09tu11PXp4eT15rng9TbVtPddocT2PGlc96aNdPVP+XT1cll49hExsPSmSWj0ev0w92tNmPdlMiD1sv4k9wxJ6PYhBUz2s8FI9WFtjPaI6cT0OmnM959piPcTsdj3liWs97t1iPbNucz0E0Xo9bstsPQwiaD2X8m89ZIpjPdq9aT1Akn89xnl5PSICcD2LcXA93vJcPcrYXz2Wam09Frd3PR0/gT12FGI9CgNsPVFfgz1p74g9ALyLPfbihT0rC4M9U0SDPeP9fj0G9Ic94kWKPdKfjT3H84Q9zM6APV4FfT0yWIU9DI2IPUo+kT1cwIc9fviAPWZnbT1nMk89Bw5QPdU/Xj0idng9/jyFPUSWfD3YA4E9PmaBPV0YhD3DgYc9AWZ0Pey1aj1m0ng9R1FgPeP3TT2YQEw9ARRVPfV+Uz2RylM9ylJgPRb5XD03EGQ9VIRiPe6+XD2w3209AeeHPe8ZhD3DF3k9sYJzPQ6Xdj0phXE9drZjPb6XZT0xa2w9nt9qPdxrdj2j1nk9rnB1Paazcz2SAHs9W1J8Pcfccz2jyW89b11yPbVfeD1/CHA9I6RnPUZVaj3j5n49V0qNPdGIjj3i9IU96nd/PSemhT1XsYA9zOx2PVzlbz1h03M9d5uCPRgNhj3ul4k95nuIPZsJij1G+4E9OKJ+Pa56iT2OtZs9UC+WPY9tjD0/7oo9LWKNPQL6kT2kIYw9jhCMPSyqjD2aEY8938eIPSP/iD21uYc9XvuPPX7TlT14NpQ9c9mQPd9CiT0705I9Cg+TPc2OkD09g5k9StGOPYhlij0gaog9zyCLPQFwjT0mX5M94QeRPSeViz2tYo49IxePPXnckD1bf5I9/U2hPbuPqj2Xo6g9KJOnPTlnpD1fl6Q9m96jPcoxkz0VtZg9MFejPdLXqD1Afak9FGelPewknz3N6Kk9gHGoPS+urz3MZLE9eXauPTfApz3vc6Q94I6qPdhTrj2qW649p/2vPZUbvT3D1sA96InAPd6Pyz2aV8o9C3jCPeMhuz3ofqg9ZhujPR+3qT0P0ag9umenPeMTsj1WFrw9AyrAPRGcyD2A9MY9vQrFPfqgyz1utsY9RpXFPUmAwT3l8789mSrHPZ7nyT04nsI9rsfDPT4Zvz19lLA99ButPXnBrz1Q+L89VFnGPdsetT3FlLE9PfKuPSyitD036r49BZ7CPZN+yT3xc8I9dlm2PSQpmz0pRpg9hL+aPaUxnD1a4aQ9IHOkPVY7nT26rZ89MtmmPQGqsT1L9a49KAmyPbVitj2y3MQ9irC9PTP+tT3xA7Q9npayPdgXsz1a/q49vN2uPZRWqz2kbqg9b8CjPaHnoz0nfKM998ifPYfRoj32hJs9zhSbPX9mmz2lRJc9RHKsPQX4uz3p5LY9glayPei3vD1xSb89sg+8PdwPvD2dZLU91FC2Pd1jsD2N+Z49gDONPS/EiT1JUIc9vbeHPbWZij1dP4I9ogyDPfsniD3iJ4o9PnCNPTrYjT12n4o9I7+PPXGBkD3pGJU9nsmQPYohkj2JbIk97xeFPSkWjD0oMZY9y5iePaC7mT0ciZc9y7mnPf4cpj2WPqk9iD+qPTl+pz2Um4094g+PPWm5iz2Um4I96J+EPXv7hT3p0os9eIKOPT4mkT1d7Js96a6XPZV+lD1hmpI9Pf2ePXBmkj0ZTYk96vOHPRTdhz2siIY9xqSDPdFhhD3GTIY9CZ6HPV6Nhz2uboY97GKDPb2ogz0wFoc92VZrPb5gZj2pMWY9v15jPZ1eVD1hVl09iJdsPWZQgD1vt3k9LgxgPRwjXD21+Vw9BApIPQLFPj10v0A9LVlIPZtMVj08qE89kwJEPe7yTj1RR1I9glJWPZEnST3gyjg9XHEfPZf5IT1+RzY9BKdhPYHUXj33/j89kTExPUCtMj2cIz89pphEPRVwIj0jkBk9afYlPb1JLT37lS09nrMoPUNUKz0ka0E9+UNBPXS7ST20R1Y94ERUPZufVT2biVA91J5KPYs2Qz0EjEI9ATFGPTM/Tj3iDDc9K/MjPfd1JD2cNSY9MY0mPZU4Jj0JsCM9ZiQpPUbtKT0ddCY9BilBPUDdwz1ZWCY+6QkqPhARPD4Fdz8+82c1ProcHj6dkSM+lI4oPp0KIT6kgRw+UjEjPjaaKT60yig+nHYmPmUKKD4Jdyc+/T4lPoQ+JD6MRxw+KFkcPr0/ID6XRyI+QuIhPowZHz5muBE+nbGvPYgJ0jwygm48caZ7PD7ZgzyZ9KY8yirMPHBe4zyl/wo952sWPb/PlD0ZruI9n14OPpfbJT4JNh0+jvsYPt1qIz5e8yY+vJEoPiiOKj7jwUM+AC5JPsvdLj599Bk+NMQmPm/gIz5g8ws+rAwMPiOCMD48KS8+QIkuPhZIPj6akjg+pXk7Pun1RD6WHVg+csZbPlz3Zz6FcWI+jB9UPrKQTT5/p1Y+39FPPidISz5Ot1Q+jlqSPlrLlD6lTY8+jEGOPpKcfT7vWDY+0cUzPrTXND6GATY+vCM7Puw5PT7iHks+frdmPpXdWD59vjY+h19MPv1nWz4icT4+Svw/PsNvRj6zmGk+/DddPtb5ND4+ri0+Q6cJPj/HFz5FLzw+fVlGPpH9NT5WVTM+GJ4+PvyUOj5YHS4+B34rPumZOD60gTE+u3wvPozFLj6glCM+olw5Pr+bQD6WV00+fjVJPpfzKT7fgSY+drIqPmcJNT5mHjo+LIcxPgOOLz4f4SQ+jKExPmY/XD5sml4+Cm6BPqALcD7Lh3c+d1+CPn9EVT5c3T8+QOcvPn4aND5pVSo+SVojPtGvGD7LlhY+ITctPsDALD44USE+x+AsPrQeQD6nFGM+kuhKPraQOj6LKDk+XotAPmAJNT72hUQ+56w8PtjsOj6YgTk+C9o9PqZlIz4Smg8+7w8lPoH2OT4R3T0+Vk0rPoL6Lj73vTA+VkIjPlQKIz4VPyY+siMwPgFSKD4oKxw+9bgpPtVAHj4nlhk+BJwePlV4OD4qNSk+l8tFPm97gD4NtoU+UeNJPn/GHT6JtiA+QXMxPgTeNT5imjU+B/MzPtfrOj4pYEY+6Z9EPnLWPj7a2y8+xCQbPhAeHT6tHgY+7dz5PQ22/D1tyRw+uPsjPn4yNj6SNDY+guk3PuUtRj6gnzk+DuM2Por7MT57+yw+NzAmPuixJz6JzBw+4OYePjUrLT5ykjs+meNNPtP1Uj7L6SQ+4JkkPs3STD60CXM+OdFEPoIjLj6DTis+CPA2PiKZRD7mQTo+5YgvPqpyST7E+VE+tnpGPrmaOj6BDkI+weJGPo/zPT6OXUA+nV9MPhMjVz53KWQ+s/5tPv3uUz652WI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/OgG0Pf65uT1qy8M9ZzPXPfaw9T0kAfQ9IhXZPXWJrj1036w9Fh2jPQGxhD0qwHE9P1ZgPdq8Vz19xWk91Z5+PYePfz2ZeW091PFrPUN6cT2sCWg9jQxlPSu6gj05zYQ9gJ5wPZTvYj1SHGg9Fr5vPXYYeT1MJXg9YtF2PVqPcz0hGos9IfaAPXhbhD11P4k9tmWIPXP+iz3UnY49Wrh5Pc0cgD0I1Yg9BPWJPehnjz1nnJ89maiiPcq7lD1QuYg9GyiDPf/Wdz2xims998dtPfpmcz3rbH49GgB9PYtaez1zoHM9idVjPTPsXj38vls99v1ePUb3ZT2xHmE9h+5dPT4qbz0MDYQ9oNl/PZhgZz0BHWI9aN5hPS65Yj1mrmg9PTd5PZu/fT3OzIM9jbt8PUsigT2vpXM9zEZvPaVdcz1d+4Y981t4PXRyaj0kt3w9Bi52PWzAdD14yYA9GyaGPaOXhj31v4A96EN5Pfzzdz0ElWw9aOlhPanEez2GPpY9jeenPXbopz2OOpg9sIKGPVnahD34Ino91l2FPVMvjj1RFZI9hcqWPWdamz2vPYs9N9ORPd6tlz2XIZY91/53PdbYWz3WxVg9ESVqPRVHgD3sf4E9EsWEPU7qij0EEo89nDuKPQ9aiD3XOYk9rPGFPe0/dD06PGc9VqtgPQEfUj0Ua1I9ZxFZPcVKYj2oiV098pdgPXQlfj0314E9RG9tPbYbUz3WCHE9YmOAPRz6eT0TlHk9bPOFPRqNiD3ieXU9rrRzPejJfT1dgXs9IKRpPTkkcj2UN2g9P3BqPaZaeD2YnG49xuJuPfcHdz0fwX49XBl3PVCWcT0HaHI9jUtuPWFveT31noU9ln+UPbkDkj0RO4w9u16IPcHyjD3+WYg9o1eFPangjT0gwpE9KHmJPbL0lD1sn5M9wOaCPTFUgT3wAoE9s9CEPVdDgT122Is9TciPPQtEkz0lT5U9PJCOPehaij0Jl4Q9fgiJPRGpkT0wiJI9VT6XPeoRlT3vapE9UO2WPWFlkT2b35E9Zq6TPXVnjz1o4Y095ASSPRhkiT1dqo09ZuKPPTtonT2zr5Q9QPOVPWDKjz2u2YE99k9/PWyqhT0Xio49lsuUPStVjj0hnZQ9uWeYPfIVoz25T6I9U4amPYdnqD2eo6E9TfWfPQ1NoT3OUaM9UeWsPQmSpD37UqE9m+miPUjjpj3K3pw9FFucPY/BnD1u56c9jpSvPT3nqz2uT6U9i+ulPWxOrT3ZVaw90o2rPdhzsT1cV7M9NimyPRWOvz1xnME9VXyxPfTUsj3LTLQ9lUK3PU9KvT017LY9/vu1PY1utz1jnL09QDG9PRqzxj1Z68o9aEHDPQrSxz222cY9RoG+PTo/vT22cb89aFXMPb5zyz2iB8E9yL+3PS+0xD1fV7M9mSW1PeTJtD285bI9h2azPRPRwD2EAMU93DLDPY8xwz3elco96ivEPW+4wj0zZrE92lqWPXAFmj3CjaI9So6oPbNtmj3OMZs9z82iPYxEqj3vCq49Q8GrPSS7rz2yF8A9+KC+Pdj7vT0Zwro9uKG/PcoEtT2PabM9b7i2PUqKtz1MQ7890gHCPTVGuT3buak9WyapPevWoj365Zw97l6dPUUpoz018K09REOzPV6TsD0RQLI90g64PR2Fxj1sVcg9gTDBPfPguD2AzrA93ly5PcSGuj0aorM9cbWoPee7oT0QNag9bAahPUwHij0bbXw9AGWDPc9chD0JzII9ESKIPWkyiD3AvIY9CAqRPdUfmD2ga5k9rG2aPRMukT0lpIk9E35/PdJagj3dnIQ9zbmHPfypjT0/rZY94ISgPUTroz3+AqQ9/d2gPY+2qj1xjrU9LFq3PdA2qj2D3qQ9VDuLPRHygz1/RZQ9FoacPaJLlT0ZOJM9TQWOPbzThj2GaYo98imOPeQGij0qa4s9eVKEPTSXez23T3894+WDPU4NiT08W5E9mu2SPfrbmz1Co5496L2ZPbhVkD1z7YY9hdOGPYnZgz3wqns9GXdsPXoeYj37m1c9tilYPQvYZj16fng9knSBPQeHaj3ZgmA9ebhXPTltST2stUU9ZK1APaFZTT2H7VQ9hlxPPXx8RT1zpkE9VPw7PQTkQj04tlA9o9dHPVoqNT0Q5TA99yI1PWzNPT2bLzk9UJY6PXKfRz1hnEQ9BppBPbu+ST2h3GM9Pf1iPcSUSD2oFyk9oeUmPRnlLD2OiSo9V+MvPT0CMj2r+y49iqszPT36Oz25Njg9KVBAPVPDPj19t0U9Prk+PTHJOz2nJTk9rp8tPZG4Nj2OjDs9u+Y8PcvART0E5y89cDcjPcPTIz2IoCc9XwwUPTQ6Dj2jogY9GVEMPSpsIT1bMLQ9EpoePl9PMz7j4Cg+qMUTPpJiEj5bzho+OkYePnNhHT5xhSI+Mw8kPhGnJT7xayI+hZ0YPjxEHT6G3iE+KgIiPrGzID7yyB8+m/sPPiKPET6Nkhg+yE0YPsEnFz7roQ0+XFoDPlbFVD0f+U08Qdt1PIRVgjznG6U8NB1zPav+8T0TFBE+3pMjPrGpJz77QB4+/G8TPi40Ez7XEyU+dhQkPswdFz5ZeiA+sfUhPgUyMD68nzk+AFozPgfEJj5uLh8+ZZAfPnQ/Lj6flTU+j680PgVrMT4IXzA+yTIyPqkZNT64ZTY+UQRCPss6Pz6j4EE+XvZOPq8cSz7w6Tk+RLs3PgZ1Zj5DMGE+1h9VPmanTD7g00s+QyBRPolrOz7PRUc+Vz5rPuDfgT4ki14+uMlOPvg/UD7VeUs+ynpDPsrZTT6CoVs+2xmOPmG6jj4P3oM+HJNdPrf2QD6Z5CM+HSlbPuX5OD5Q7UI+TyZXPhG9Nz5ZBBo+DPAoPrc6Lz6+9Tk+WRZFPlUTPz4Ww1k+8WBVPjn9Tz55s1Y+Y2k8Pv41JD4MbDM+O7gwPpJsPz4Z0jU+2DA5PqO+Oj5Fnzc+Cn9PPgQOPD4kpiM+AfgwPnZqMT7cezU+sdAvPpwKLj5mJjk+qqs8Pt/2ND5CsS4+Q0pSPhaBhT5Vimk+xqRfPv+UfT5Xg3E+gzkxPitOLT5fwzM+hpgqPluwKD6AuCQ++YgiPssETT6AHE0+TX5JPiQmLz4PBVg+adlNPizWMT7UOic+zzskPl6dRz69sFM+6RVOPu0PTT6x5zU+WtYpPkmfNz4NqSw+By01PvcIND6gXzI+hBk5PgirOz45IUI+twE6Pph9LD4HriI+I1IhPmYqHz4kRic+LwEdPgfLGj4kwxw+pGoePuAfQT4x1zY+LUYcPuQtHT60Xz8+4pRKPgxxPz5sOE0+UYVFPpPcRj47RSU+c/kNPmFzET6nJCc+IgcwPigHPT5ZmEg+JZNnPlZCYT6WhTw+19IjPjZjFD4y5Bg+gwUuPjeOMT4ktT0+nEc9PhA7OT5u4Tg+B9ZOPtWSSj5gLkM+U0tHPqWcRT5AnUM+yiFEPp0mPT5Q6iw+HpM6PgV6Qj4I9Dw+IDhCPvSxPT6DgEo+mt9gPlBfLz4z4SA+m9g2PlSXLD4usSA+woEiPtEFPj7ZU3U+jhNGPob4ID6YzB4+7+s1PqkpLj7vFjg+ReBKPm+eZD7EV2A+nEJdPnLQVD56o0Y+nW1FPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/RcGmPakQpz2XE6Y9ACq7PRs+4z2hOPY9VLbrPeRc1T1JfsI9p16oPYa/pT0FTaA9oimMPSMNgz3vL4I9i4SEPWAagj3vZ4E98UF7PcTUcD22fXI9lXF7PX7Vfj1stHs9UCGJPUeDiT0Lc4k9o3SHPbhdjD0pdYQ9Ur9xPQvPaj3PF2U9+mplPcMQdz0ej3k9/KJuPR6+ej1lAoE9pP1/PUmqhz358YM9ZWKLPdeclD0Ba5o9HgCNPZAodD1RaXQ9IQN+PezMhD3gCYU9ghB1PdRDcD10JWY9YNtvPdjRhj2h9Io9dFmTPSKiiT257XY99WRoPcpPXD3nXFw9J2aHPSdwkT127oU98fF1Pajngj3xGoY9Z2mQPcwfhT0FV4U9e7iJPZXeiz3mOIs9cMV8PQt2dj25wIA9O1iHPer+gT3B13g9if2BPXWLhD2hnIQ9lI2HPSrBkD1YfI89tCyPPYgehT3wI4A9FL5zPWF1cT2/DX89YxGBPfLLgj1HoYE9oXKAPePAfz1EYJA93T2OPVcaiz0aQpE9QziTPXcPkz13OZU9XbCRPVv0iT2GR4s9nuyKPQBtgT2as3Q9MjRpPeARWD1ObVE9oGxQPTcKaz1SanM9BGB3PbmZhD0nI449HCeMPVHLaT2Mc2Y9f1tvPUxedj37a2Y9su5ePSE+bT3JfWQ9N7pnPToHaD0g3V897aNwPWZobj3D3ms9EWNqPY1kZT3omnY9UrSIPZ5Ofz3CR3g9EFxsPdy+bT2bN2M9CX1uPZptfT1YjW89Bv5mPbMvaz1dGYI9uOqIPWGghz0SWHg9dHZrPdkPbT1BinA9e5x/PVg4gj29SHo9+0d5PTE6fT1DTXc9koN8PZfnhT3WPnw91rN3PaNlfT0M/II9FfyHPTNxiz3Fp449ZJKQPaWLjT1AzYQ9VNyGPRW5eD1KjoU9VvmCPU3ggD05AHU9m3d+PZahkD0HqJw9q5ePPZE/ij2k+Ik9IreDPQi9hD32CY49/hyNPU9rjD0TQ4o9tF2FPW0ihT3NO4U9GkuLPSL7jD3o7YU9ZH+OPXM5iz2UD4s9e3ORPXeykj3fT5M9mtaQPQgYjz3wNZA98P6QPaq9jD3oB5E9322UPadloD0o9ps9LUSbPXb+lz38wZs9YmeaPYUsmz16SKI9hMujPcCFpT3SzaY9CUShPXWbmD3jDZA9k4mVPSZ1mD0IEp89qZywPcB/tj3b9bo9eZenPY76qD0/s7E9666vPTsUtD3tZrY9alK7PRudsj2HerI9udWzPaiJsT3LHbM9uHGwPRmhrj3GDbE9j2y+PQ1Mwz1/m7I9sU+sPU7puD0bfbs97KDCPevIxD030sg9qj3GPTMIuj32Erg96dG0PdFKxD0YB8w9NcrBPRgmsz19YKw9ntOoPVkCsD1UdsM9uBLMPfg8vj3wSrs9r5y7PZ7YxD1casQ91Ru8PXWawD2chbg9la6+PVgDtz1YXrE9pVuoPYFBmT2mEp09cLmePdowoT1l9pk9PE6iPda8rT1UUbc93FW5PdKXrT0fTa49omC6PXj3wz3mvcI9xw3IPXmouz3BSas9VdClPedkpD1+wK49uKeqPRX+sD3+7K89daylPYBxpT1fEak9TD6tPZb+sz2TO8E9fjHCPSkSvj3FkLI9CHivPbP+qT03GaE9/DiiPRnkpz3rTrc9cTG8Peplvj2mxLQ9uHepPcfOlD30CIo9oIuHPc8fhz1Bf4k9byaDPYhuhT1lz3w9e7d0PRMhdD0dQ489EX+UPdFLmz2rrqA97yaiPQR8kD0o7YU9d6x/PceygT3BVpA9UoKaPZNBmT1ns5Y9cWeVPXt6lj1sLpg95lWbPSc7oD2wn6I9BG+1PeVbtD32HKM9XMKTPXxFkD396I09hnuRPa48lD00DZc9LoCXPclWlz2Mlpc9yTqTPdeNkj3yCIM93LNqPeBpbD3g+3g9VZqDPYEehj3+r40962+XPQcCmD0h9Zc99P2IPUpjaz1XEXM9rox1PQaNdT30tHc9K82CPSXOhj0RF349XEKBPewtgT3nW309BnV+PQRdfj2D/l09ADpKPdJ1TD1uBUo9VVNIPe1UPj0OoDo9h686PWJ7Lz18LTM9ABMyPRjuMz02/zg908pGPU6OTz0vw0g97b8/PaWOST2wD0s9p31LPVDmSj3SwlU9dcBaPesvVT2Thkk9KuRCPY7NOT0XWDM98LAyPbu9Pz0B9TA9qxkwPUIBMz0Wty495q0sPYnfJj0U4iQ9grcsPTzlMz236Tc9xdQ/PfmmOz3tZD89kixCPZdfPj1fsD89W6ZFPQTGTD0VyEg9J1c2PUaqMj2LkjM9AacdPT39Bz1gawk9nqQUPa1HGD03MRU9gZixPSKqQT6a1zo+0EQbPri1Dj4eEBM+ORYdPqNUIT4q9yE+cCQhPl01ID6KKCI+U9YkPhjiID5LhhU+TewaPukfJj6rHig+oKMiPqcyHj6GNRY+xgUdPgFSHD7TRRo+zEgPPlUCzT1OyQw98bVvPNBNizyDWjo9n7OGPa7bDD56JyE+DksiPhFeHD7phyg+EwAoPpplGz7FuBY+fl4nPg7jMT5lZgw+7PcMPkw4KD7hOkU+x4dPPn0PMz4xEB0+IpYdPlH2LD5m9Ts+FlU1PiMbPj7UxlY+SKVOPu5tLT7jfx4+qvQnPsVFPz7OOEw+fo5GPhZpMT7v8Tc++YgwPrCSLj6nrFY+rLFYPnjDWT4iKFU+3IpbPubbWD4K/VA+v81LPqlHPz6gMkU+pZlPPudjQj7ffzs+s7k6PiNGQD5bEU0+Z9pOPnoJYz5pi4E+NmFhPvYDTz5VjTY+SYYqPpNPKT4SXi4+WCxKPthHUD6CtDA+ahsQPnqdLD4dhDg+Iw0/PgxbOT4SMz0+fNSCPrDSmT6B2mM+wahbPkFFWz46DDg+0+8rPn4VMz7DVEQ+yxdTPrPZOj7obBY+AyMgPnEjNT7BWkE+IB5MPl0TWj4ZZjs+YWQzPqdqKT7qxS4+CSJAPhOxQT6JgTE+mkQ4PhAxRj5C/D4+Jd9IPkfuSz4NB14+49lfPgwuNT6c7S0+UQotPs8cLj4J7y4+lysmPtVTIz6cJjI+N582Pl2wMj7y0R8+MjlcPpB7Tz6NGTo+XmkwPtH/Iz7V9EM+XP9YPlV6RT4ihCs+wd81Pu/RQD7LT2w+pUw9PrxfKD5DAUA+YE8tPs1GIz7ODTU+9ltHPhkdOz40iyQ+NcEpPuZFLT52Mx0+8vASPruYGD57/RM+46wYPpd+PT5/UEU+VOk7Pn3zKj6IXSY+paAaPrdLPz4Mf0s+KPJfPlhpSj5me0k+BIE/PnawJj4gWSc+poc3PquNMj7yHCc+uiofPl5bLD7izC0+g6EsPmoBJj5Zxhk+TgwiPh+fOj7HzTo+Q/U/PgZUQT7URDI+n8QsPvmyRD7i20c+xPxWPhPNSz7Hpjc+tuUwPi8GIj5sBSI+WwYiPmSPST6BylY+OBFmPv57YT7urjA+XN4xPjfeQD7nai8+fQoePkhoHz7cjRs+0iQWPlHbID4vJDU+sbU0PrqTPD4T4Ds+9dgyPhbEOT74Zks+OD1tPvqfcj7XyGQ+p1lQPi4JTD6rU1I+r7lHPnGZXz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+FAoz3hQKM95I6vPZ+5sD1FJcg9AWX9PTlw9z2e8Mo9kCW/PdVIsz21Kaw9EF+bPcu2hD2OPXs9feh8PcLWbz0762I9PBV3PdsOhz0IWH89rGF4PdgRgT0ZhYo9woKQPd9+kT2Tw5U9Sr6ZPfo+jz2ckIg9ceiBPaafWz1FDFg9bSZZPTbzbj2F1HY96kN8PVUQdT21eng91SyAPfm0ij2croM91JiMPZjljz1lcIg90ZGGPXMEgD38WGs9M7mBPbg8mj0y+pk9SvCQPb6egz3QmoI9YQSKPXEIhT0odo8955uSPWXVkT3IW5M9MC2PPcmIfj0eMnE9jft0PbR1gT0TlpM9gsSSPbqFiz0dkH89nDiHPc0djT3Y9Jg9JHuYPSAfjD0Uyng9k0aBPcIogD3DAYc9t0OKPV16gT1uVXE9r3N7PYAOfj3FWIk9rECRPQgIjz1ElII9yOl0PZOIbz1eQ2k9/mF/Pfv5iT0iQI89WtN/PV1+gD0EkoY9fC2LPb9ngj1A8oE978l/PZ69hD2/CIk9qqqHPRsWgz2La3493FSFPUf8gT1hF4U9Lf+HPenrgT2mCGc9EwlrPZuSez320XM9EClvPZ6mbz0W7IA9QuaAPRxZij2mM4Y9SD2CPXrleT3QYW09w3t+PQeEgj2weYE92Od1PbjvfD37LYc9RBOHPWZvdD0PYGI9Y9ZkPV68bT0DVn09nnJ/PQrMej2BsnA9fWh3PTwEdT2Es3c9xIKEPSHVjD3B6YY9iPmAPTgngT2w5mY9jKRePY7cWT0/ZGs9vwKBPSPrej0vvn09Est1PcOPej2ApH09aOVxPVBQij3+gIs9fB5/PcEMbT0TzGU9AAVtPctcaT0NDVo99RFzPYiefj2fy309zT98PapcgT3I0oQ93jqCPe85hz2W1Ys9Y/uMPT7fhz3e1X89aqqEPf+Igj3KTIA9eQ6IPW5zjz2GZZQ9yF+ZPUrzlT3HHJM9uQWQPTtTkD3XS4g9UECHPauliz3SzYs9L8qGPZE7jT0rR5k9yZiSPSCvlz2O3Jg9ZQqJPex0hz1J64Q9teyJPap+kT2215M9IO+TPdzUlD3/+Jo9QO6iPdK2mj2JWpM9Q6OTPV5nkT2NlpE9OGKTPRgDlT2r6Ys9taeMPVBRkT3PnJU9Y+uSPe/3kj34mpM9eG+SPV7lkj090Jo94zKZPSP/oz2KtKE9ebmjPVbRsD0vSbg9zHGxPYN7qT1prKw99R6sPYJwrT2FYbw9ZCzEPVaStz10obQ9d5WwPb2ksD3FNLo98EW4PVu5xj0Wcco9E0e8PVN6uT3OILo9qO66PdZdsD0ULKo9CimlPQMhpT15yrk9LUrBPcEqsz0+YbQ9IUC4PfQ2sz2fELE9hJ3DPaJuwj3vYrg9kUi2PcgquT3Vib09koy7PXfswj0iZMc9LfvNPeT7wz17gL49jgy0PZ/Jsz2P/ro9pre/PdKZrz1xmZU9b6OePacNpz2LXaU96KujPX4CoD3+ZKM94CmmPeOptj24gL49eYK3Peuhsz3l2649y9S0PRi1vD30Ub896e2+PfpXwz1Jqco9kuG+PXCNqD1LYKU9c6yoPagiqj2lm7k9cUvBPUvStT2WLLY9HM+zPdubsT2E3a49Gqm8PcBxtT3ARKQ9DpmVPdeekT3tL5E9j/mPPX7jlT0ZW589WwmqPU1erD1bCqc9goOdPe1xmz1K35w9IYKSPfRwgz0J64I9SBGKPbuqgD30kXo9F/t2PUL5az3tUms9TeuFPQYrjz1/64g94QyAPeZ0gD2/nn49NcmKPVRPkT36apc9oMWtPX9Eqj1x7KY9QpSbPVnxmT0Rc6E937anPQZKpD0iBKI9pJOdPceloj3Z2p09iwOOPT2ZgD0iWoA9KO2EPZEuiz1Aa409oM+PPTroiz3DhI09wTiVPdYWlD2tK449wJOGPVjibz1JoHA9XB6DPY9biD01z4c9TgKPPavbej0e13o9oa5uPQ/xUj1CvEo9jD1rPb42fT1QMH49xjp+PVOfgD3XL389ESyGPddOhT0JaoY9JNt6PVyfbD0BNmA9/rJGPV4dQz3i7Uw9r/pLPSvhSj0gmkE9p2U/PaGoMT1q5jg9+BBEPRFeTz3xV1U9TOlPPXnsRz3gZkg9NpJAPUx/PT2QQ0Y9VshAPTEjRD3Q/Ug9iKZKPcWWRz2ZHDw9unc2PVYuND0EmjU9A9QxPdkzLz3ugTI94/coPdxWJT0MsCU9GzMnPfQMLT0jxzc97lM5PcPDOT2Vsz09PCdCPSCUSj2nN2k9CSl8PXWqXT0JL0892XxLPR7sWD0L72s9RmhLPQmLHj0f/Bk9GBIgPfy1JT3RVTc91ipFPYoTZT1wz7I9jcjWPSk3PD6T1ks+m3MpPgqUGj5jqxo+hbQcPqPEIj4vLyY+EI8mPmKdKD6uDyQ+H/8iPgXKIT5zPSA+cNMPPjpZDz5E4xo+9I0fPsK/JD55riQ+MrgdPk5IHj71HyA+gTsUPsiVCD7CjHM9kXXmPNPgTD3Br4w9+lMBPuLDDz4vICE+tp8LPqMnDj6Ogw4+eBEhPrRWIz5ZWSU+4AEoPgjTGD7QJxY+Y1clPkz2KT4lLDc+f1s/PoDONj5SFzM+YjE7PkL/Oj4mCDc+4F0yPn5YMD5oWio++nQ5PhlZQD6s7UA+UpowPop2JT4HGjg+rWhBPiEYRD7J/kQ++vxHPgdCNz4nHSc+HN5CPhkxUz7EOz0+7H0nPgDYOT5N3S8+1mwuPqfLQT47iTk+tQlDPgdBXD6ewkk+ACA0PlTpMT52fzY+tVw8PitaOj5VxDc+tXxEPqTFRD4NxTg+tTg5PilsOz79DSY+v8kpPu0OMz6/wyo+nRUXPs81Ij5mgi4+A+46Pu99OD6JcDY+Hbc+PvbSYD7lAHU+w3BVPoA5Pz6FU0M+dT0oPizvHT4xzio+PSg4PpMNST7sL0Q+VyJBPiSCMT7zaSk+h64yPgHNRD72UUc+uT4uPtQOKj5uCyw+sQ4qPgPpND5+bDk+d94/Pr+xRD4FD0U+0+09PqPMUj5x/Vs+khBHPmmsfT7KS1E+wrEyPlTFQD59X0o+Vc40Pm3FKD6PlTc+AoZCPrmDOD6LUjo+D4tQPks3Wj5w1Eg++wBAPpQdPj7HNjc+abMfPoEJHT6QyTs+dehVPvVFPT6YNj8+tBdSPk9bPT5hGS4+eVk6PkKsLj7L7hs+chcgPu19MD6t2y4+gYQrPqN1Kz5xYSU+p+QjPgFlID7lEyQ+CS0hPvIAGz7cDyE+U2MkPsnzLj67LDM+yIJAPi8pKz7oBSs+SH82PiZyXz7idkU+nz9FPoj/RT6i4CE+oBQhPn+6KD4keCA+5McnPjXSEj562wc+SRMLPqqfEj65Qh4+C74YPgjWJD7dpEE+8SI8PjfLKz7uCik+Mf40PsAhNz4S6zE+sL5MPh0ETj7AFjI+Odk4PnXBST6Wmlw+xsE6PpHUMz6elEU+4jpDPrhXVj5IDFI+238uPoZJKT7owjI+zH4nPo+WHz7npiI+C5cgPsI2Hz4kjSg+FOcyPvoNKj40ozc+1jJBPkOERD7+BlI+c/FhPhtlez6vvH8+AtRqPsQdYz4pGlo+MRhSPq7/RD6NZEw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9Q7sk9uqzUPc4q4T2u29s9x7DZPSyy+T3TsfU9mqGzPQB2pT13OJc9uYyYPZTWgD0bGHE9UkVsPS0BaD2h+nA9OgJqPTIKfz0BZZU9sWCMPQHYgT1PlWo9bO2EPahDiz29GqI9FqynPUMCnT0kWoY9gzBhPTj/ZD1ht249VR+DPXawhD2Rg3E97Sl3Pd9+iT0l5H09g9xzPSO2hD16Boo9QzuUPZNDmT0IqJY9OpSNPY02jT1LW449bVuGPZuJhz3jNIo9JPuHPUjnjj18t5A9VGGPPUzuiD0m8449vAqUPcUQkj3OnZA932GHPdjEeD1HEns9ZJGCPW6xhz3++oY9nw2APQZXfj3cyoQ9cw6EPbm1hT06VIg9NM6KPTDDjj1Vtos97PqVPTMAjD0MQYc9d318PWi2gj036oM9Cn+CPc3hiT3Kloo9ExmIPbBvgz2kDYM9Nv6BPUlAfj3moHI9i6N0PRBcgT1BQng9WtNuPbsngD1uu4c90guKPTAHgz3mBHk9yrSEPZ9xij0BkpA9uNSQPQpolT0qJZI9lnSKPQMohD3w1XQ9Y+BrPWwTaz1xEHQ9qvt2PcEzfD0FOYI9Le6APUZicz3Gu2k95cF+PeN1iz16u4M9KUF/PbVEgj1AF4k9izaJPZcshj2/DHU91p1wPeBNaD3gSWg9RP5rPbRAbT0/c3A9NrFvPbhEZj0Q4WI9M+lzPTbFeD0fjX893EqGPbvWgj3Ctm09AEqAPc8eiT2AzpY9L9+aPT6cjj12DX099lhwPQGKbj1cw3I9dSZxPch7cD3LPHw9S6+DPScUcz3ZS4U97taLPQ9Rij23EIA9XMhtPY+saz1F0W49tzhsPYIFYD12bmQ9yftmPdsGeT1S5n49FP2BPXVmiD2BQZE9E7aPPTWjjz1aG5s9CVCgPbWMlT00co49es+MPSVUkD2anY09bSWKPT5qjD1R8Yw9f0mFPTYzhj0NAo49Gz2MPcJbjD3i6Yg9LeGCPZ/nhz2osY89cUGXPdHBlz0Sn5M9B2OPPYbUjj0nL5I9okaSPQ4VkT3n/og9q9KCPWG2iz1eg5Q9htGOPcQJjj2nfZI9CcicPRhhmT39GZU9ANeRPZuHkj05q449e06JPbCKiD1VXpU9yBCTPZNOkD3Ij5E9w42PPUuZlD21/o89PC6SPVjJlj2HZpc9VaebPcnDmD2Lbp093uKmPUQzsj2Xb7A95YmvPXfHsD2/X6w9CcOnPYT+qT0wkaw9Z7uvPXDLsz349689RkirPWNiqD3gQK09m7WwPTCcpT0PprU9tPnAPdtEtD1vFrA9XYK2PWr/rz1Znao9JLavPZsMsT2UTbI9zX66PSY4vz2Yu7c9CGS5Pb+Lsj1wvrI9WXSwPUHQrD1hFsQ9xNe4PSQruT1MELY9i72vPWLisT1PLME9siLIPcUqwz0A6rw98tm+PS2yuj1NaKw9HRKiPSJ1oj094589k9qfPStoqT2H8689PXGmPVR2oj3QWKE9XoSoPd4Wpz2ZGqs9GY7JPR4bxT0jtbg9piu+Pe+/sj0uCbM9fyysPTgIvz1ibc096gbAPW7YsT2BIag9RXiqPSxPrT3OYbA9wDa+PdZ4rj02ALI9yLGsPezlmz3NDJY92kePPbj1mz3bbp89Z4KVPVTllD3B3ZQ9Lf2RPVw3mj0IxKQ9mq2nPWSbsD1EA609H3WsPRHKlD3u5Y49lLGTPXmFlD11W4Q9w4uAPeWdgD10hns9IUOGPb/GmD1YM4096YCKPSYujj3YMo49+EWPPdt6ij2+C5I9/uGTPYGUmz0PtKg9MdGlPSraoz2juqk9UyOrPfuQsT3skLQ9BqetPVRyqT0Rf5w9MLqbPf3tlj2iHo09GRqFPe2Yej1wjng9Jux+PbPugj2yc4U9ZfKEPXa1lj0rRJY9QHORPVThlj0VaJw988WZPVK7kD3xFZA9SdOOPV1BkD05d5E9EFGPPbHphz2HnFo92TpdPXiqVj1ielA9opNvPSWfgD3w5YY9hJeFPbtVhD3lpYA9k4F9Pce9gz1mEIE98vB3PVGidT2NWWo9FjlbPU6GRT2xlkg9RS5OPXiJTz10XVA91w86PWQHLT06CCs9HoE5PTCnQj0dLUM9GkxDPfYeQj0edCk9zxkkPWinIz3gTS49P9c+PZ3gPj0KLkQ9nxNJPc6UQz3IKzk9HKIwPVuRKD2DQCU9dgIrPXY2LT32Hik9onUjPQCSJj0oaCg9GYguPa+sNz2Em0I93h1SPSPjTz0Vy1E9NpNUPXBjVD3GQE09mMt+PUD3oD0cgns9ivmPPaa8pz2Ju849A3K/PYjPPD0FBQc9uTgePUnWKD1a8DA9Vgt3PTwHmz2Ta7M9YCP/PQ2aDj59GjA+crk3PjOpHz5KMhs+5OMZPu96ET450g0+hb4KPjoxFj496SU+D7IkPjgbHz64Hh4+36AbPjU3Fj4JtxM+1loiPlVmIj7JjCA+aDobPtpdFj4lqBs+jtogPmxSHz4ErCA+5ggnPqn6Ez7EWiE+9XMePnA0HD62wRs+inERPs+bET6opRQ+doITPlpwKz6Zki4+Xr0wPvYXND5fBis+qRspPjdJJz5EYyc+1dkrPon2Kj5j8DM+Keo8PvshMz6JRDU+YjM7Pj4YPD5BQzM+t38oPhHcKz6z3j8+NHdAPnz7Pj7qujY+1I1GPoSBRD7vezc+rME+PrpeQz7mfzI+bk8mPiyQMT57m0U+bmI6Pm2XLT4AfS0+v68jPn+gND4/YUE+lKRDPhfTQj5Ni0U+zwYrPn8xKD6POjs+PVVEPgqvRT4Kpz0++1slPg/8Lj4MzDg+H4o1Pia9Oj7IkUg+Nk9DPs5aUz4vozA+vZYdPpZWHD4LfEs++8A9PvOJOT4Rh0U+ie9RPtoMOz7nKEE+6/ZAPry6Oz54WTY+9wY1PncUMT6pdCY+WDczPnpFMj5Le1k+6MdxPoG2cT6HREI+ROAePifOKz7Q+U4+du9QPiGgNj5hrig+cMs1PlwYNj5ZFzM+TeAsPkpQKz7sSCY+GdEfPn9hMD7AZEc+425QPlHRNz7W1lo+iVpSPgVkKT452z4+OGpIPkgVNj63oCw+JnksPhOrND65Dzo+ilEyPm4/Mz7WqHI+QrRYPrN1Nz5xOTY+e4UvPo3pKT64ew8+6No/PkbxVz5wZjs+z/FNPu+tVT50kVk+9sUmPjJhGj7YRS4+teMoPs7qJj7yPSs+In42Ps/8OT7ubB4+flgbPmqYIT5KDTs+eG84PvUaOT5IQkQ+XEZFPp+tQz7cO0E+/AJMPpflRj5SYTQ+fqAxPmF4OD4lgE0+sWlAPqw+OT7wZD4+8Do5PrZ1Wj5JO0Y+ink3Pl/bID47qwU+B8rmPfHD5j27kfg9v94LPqSCCj4z8hs+ei44Pn2iOz7yezY+frIxPpPMLz5jJDk+HCUwPmg+MT6u4UI+6axMPu92QD7rTUk+aSlEPk0XRz5CZEM+0DsyPvI4MT4qDC8+pF5EPrqlQz6gJzs+9uYnPmWfGz7VfiI+0bMsPts+KT5ctyU+RrwkPotYPT6bSzE+y8wiPuexMz6yRzk+egs6PgGBOj6i6ks+cIiAPhCwaT41hEM+K2BLPupFTj4CMUA+9O4uPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/1AS9PS/Uwz3cLc09e8f/PWP2BD6V3+k9sRm9PT4dnj1w2ow9lFmEPS9CgD0F6Wc9V1ZpPVPVZz0QCHQ9ci96PUzSfj0Bano9kKF+PbRvcD2aN2k984tpPXTWVD2ScHg9pMOXPbpfiD3KIHU9e8pwPZekWD3/B2I9L7hmPfcBYD2mNWo9lVZmPYGOgT0uCYM9dh6HPfAKhD0mloU9iEuJPX6zoD0L7p4903uvPRhGsj3KpaA9LUOZPYSwiz1YtIc9GIePPTc6mT2LXaQ9mv6lPUallj1l3Is9RRyTPTuwjT31noY95JuJPYCmhD2xX4c9sBKNPcOyhj2W4XY9KoqDPaVngj0PvIc9PsOEPepFez1mdnM9i+2APYVQhz37S5Q9IIeNPZIThj1U04E9sI2DPe55hD0UYZA9/euZPc5BhT3wFoQ9k6uHPaOUiT2AGZA99wGUPSzPhj38on0926N8PdZlfj0bu3w92iF3PTI2ez244Yc9onGGPc7Ygz3sJ3I9VD5sPRcbjj17+Zk9r0SdPbsFmz3MgJs9RlucPaXghj0Kc3Q9iZh6PbtzfD2FdYQ92e6MPVXecD2WwFc9d91aPXc0Wj2JuGg9opF8PQgbgz1Y4o89tBd+PZZGeD2kCXo9/2h6PaodZj1Vo089UFlTPW1GYD0sGmg9mZRePdgNcT2PwnQ95QpqPWRYZz2lg1s94cdePTOYdD0zDXk9teiAPcDCeT2DQWg9fyFfPWCbfj0ox3w9Jh15PXx6eD2X1mk9WelrPWMEfT382H09FqJ7Pf1RhD1oGYg9SBSYPZvOjj0B6Yc9VRmIPeqcjT1Mio09JA9qPbqIXz2Vsm89F2F8PdVvdj20IXI9cd1vPS4Ifj3yeI49X6yAPQxChD3nToc9NxiZPV2ikj2qiI09b3iMPc4Lhj2WGYQ9YpaJPfdCgz35x4U9roCIPQpwiz1DPow9Pr+GPXGahD12tII9T7GOPbTdjz2sQ409aduJPbyPlD10aJI9v4iPPVJ2jT2FhIw9YYWHPZ17gD2dYoY9qXSMPbgpkD2PMYw9aZ6KPdiZhj3UzZE9uXSfPcDImT2KzJQ9EQ2WPSECnj2A5aI9lnKgPduZnz3VS5k9FkyVPVRriz2SWY89lZKXPVA0kz360oY9wl+GPeuBjD1qaY494U2WPQtumT2yIJk9bcOcPdmOpj2AZ649wPurPZZtoz27SrE9+ZmtPbkMrj1AarY9sJm5PfMPqT0+AKo9A5CsPVN0rD2JJKU9MhCoPclesD1lR7A9oIKvPWkLqj14xaU9fje/PSu3vj03gbI90ByrPamZpD36bJ891JuiPTznpz352rQ939G4PdMpuj1ES8Q93EzAPfUetD0T06k9lb+pPS0Rpj0VpJo9r2enPdPStj2I17g99te/PV5axD18BL49k8S1PVnHtD0Y3q09NMauPehGrT3gEbA9PWGnPWSjpT1G0J0997GdPShcpD2cX689lJiuPSVSqD1oiKI9PXOgPXfKqT38DLk9bji9PV4fwT2U2sI92PHAPbeDxD3jHcQ9fEC2PfhvuD27gbw9kMa7PW2NtD3dQ6k998SxPVM0rz2XM6w9XVyuPXjgrT2cWKc9ADWtPVWLoz1lEJ89kZGgPQDuoD2kmJw9W1CbPVjKoT0NILA95c6oPWi5pT0zqaM9HTyrPSM5uD1i1bs9sQOlPUeonz2aO5E9nhaIPdoagz2PUIE9jvKEPcYDhT3XGIk9n8WKPeOcij006449ewCSPeGtkj2eLpI9mlCWPeQZmD0yypc990uOPZKllD0O6J095YqvPW1krD3O4qY9p+OsPVyPoT1y7aU94SejPV7jiz3Xn4g9OQqHPeAdgD3am349Vfx+PQvbhT2d24U9DzuKPdG9iz2gSYs9ileJPTLVlT20wpo91qiNPZ1siz3T0ow9DPmOPcfBiz1U7JQ9zMWOPfYoiz2kQYs9h+qKPehmhT0qo349RpxoPc73WT2zyVE9dKZPPaXpYz2eQYU9fraQPaashD0f/4Q9YPWFPTpBhT3RFIc95eZ0PR1Kaj0593E9SbZgPS+EVD2oDV49IPtePbsITT1IBUs9CqJHPcUAQD02aDA9ZuoqPQuLPT0m5EQ9FyBGPX9ySz2NzUE9FsE0Peo5Mz2Y+Ts9a88+PYWNOz0Vt0A9YOJHPTMmRD3LzDM9N8wmParrIT3FkR496/8lPapmIj2HtiE9fCMsPRhYOT3eGDc9g3kvPcb+QD094kk9gYBOPaRYRz14MkU9L7JQPT3pVj3ZoVo9vCxZPZMpWT10h5I9RwsAPtz+Lz4PHDw+4u9PPib2FD6BGII9mKGHPZLufT19uk89ICJRPTdAxT0flTA+WBw7Pr8nLj54SyU+ajckPmGWGj4GSRY+WLAgPtJKHj50ahU+T+gSPvkcCj48BB4+AgYnPlzLJT4Ddx4+MjIdPu6aIz68Nic+UJwmPlPlLz5cRDE+JkYwPoluJj6c0Bk+7+gdPovtKj5qyy8+CaUxPpmAOT4gryw+BUw6PhZhIT7tWyM+la0cPpeBFj4oVhg+spEqPkbAOD4DmEw+FZxoPvHYVT6650c+ffNSPqeWPT6UEyY+2aUpPkRmLD4dxy4+8KYyPvrKMz4nhCw+em0+PrR6Xj59pnc+q6tAPg90Mz6i1y0+OupAPu4MTT59vlo+D6FGPtFtRD6sLDE+mSwmPsCbNj6cUUg+Pws4PsjCLj6TMDM+yJw6PoqEPT5MeEE+HUY3PiCPFj6ebyU+Lk8hPrkhKD5v+yY+BI8mPpd4Hj5Pyjc+j/Q/PrjhRj69AlE+36NVPkaCMj5yNi4+QnQ7Plu5Kz4R9Sg+9kQcPoTiTD6kmGY+fe4/PieXNj5TaS4+V+JGPjjBRz6HWUM+O7s9Pj1IOD5nLjQ+KQg6Pv7kPz7W1Cs+9bk5Pn1bWT5HLU4+W25FPl6sPD75NzE+Lq9JPpbDTD5sV2Q+LeNgPlasUj5Ppi4+iA5TPjYcXj7LSzs+mkEmPklIOT7ABzA+8H0yPqNJNj4qyDE+UMkePrqiJD4Hei4++Qw3PjQ8Pj72Sj0+DKkpPutDTT76fT4+2g0pPklVGz7eoRc+sMsgPrkeNT5dpUc+C5s9PmyfMj5dtDI+Bac6PsMdOz7jGkE+1I09Pr1fNT501zE+7c4jPh9YQD7JEEc+8Mc9PptOMD69mzA+8O1KPvhPLj70xB0+guA3Pu1PPD4X0Tg+KsYuPqU+RT7nN0g+nG0hPiV+Kz7wJTU+G7A9PoMMQz4Q8zo+7ps3Pr/sRT6K8ks+xYFNPsc/Vj7Nu0I+lcU8PhfqOz43+j4+LZ8+PhXzPz6L7kI+zVJJPtnSRD7zL0c+rz1DPuvMKD6WhR8+QQQuPjWCIj5YqhA+lfwPPgxNDT4TbBA+82EuPjB/Sj7baio+o+YpPtgEMj5wrCM+EUYdPgw1Hz4ZSyY+DukoPldELz7nnzA+3AhGPnQtND7JJjw+bI5KPo/2Pz6Odis+4wxAPpa/QD4XTyk+TowuPqilND5ZFDU+UL4oPqdQHj4JCic+U2EoPihcJT7A2C8+zbM8PjnzLD6fcC8+HegqPicWLz5vPzI+3XkxPmqDUT4QUVw+Mr5sPkY4Xz4e50c+ZAxKPm50RT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6Csxz3Rsc49StviPWE86j2FCN09tuG+PQdarj1yjIs97mpwPTmpbz3b/mk9kjOAPW4jhD1mbYQ96ymKPRutjD31gnQ9+SJSPbwsUj0HhmE9W8ZtPdBTcj0ORH89qbSZPWPGkj2fkmM9dfeAPcA8gz1E9Go9TeRiPWcGYj3WdlY9ikFwPamJhz3FYpQ97LiSPa56jj09QIM91wVvPfpwfz0ms4Q9BiifPRuIsz3Sfa49XfizPSxjnz2VqJo9o1eTPYlqnD2aXJk9KBKTPeXKnz2zuZ49X02XPeEXij0TOn09tcx/Pfr/ij0Ua4w9CQSQPanhkT3fcY09U5KLPW17jz2zP4w98ZuAPeuogT1jIJM9QO+MPfQpgz3YkoM9CvyHPXBJiz1Jsoc9kuGFPVSsnD2XQJ49P5CdPcuejj1Ln4o9wI+MPV5bkD0odpA9l0GPPWn1iD2AjYQ9mQCBPUDqjj35W5k9JiuYPc3PkD3xloc9j9V6Pau8dT2dqX89baCBPZqyiT2UhpQ95YeoPR10oz1DhZY9TseTPc5qhD2temM9IBBnPauhcj3IUn89uhKHPdwOgj2GKWg9wox1PYshcD2dcnI93Px4PZophj1CzX89RK6CPadJjD1HF5M9CMGHPWXhgD2bBHU9U2NmPSYydz3Ex3I9REtqPUQbZj3rLnM9cn5ZPcfIUD34Kk89tMhTPcgcWD2W1GA953t4Pc8sgD1nU3Y99h9vPVWHbT2f8HA95Qh0PWy6cT1sbHA9zKpsPVTSgD1924w9AJeNPb4Yez0ecnI9ZEl5PYTihT0A0IU9io6APW/Taz3vzmc9n6JmPTeKXD0cJV89ty5vPcxWez0uEXA9EXRsPccIYz3McnY9FUR3PSnYeD0jX4o9Q46OPab+jD09tYk9TFqGPRYjij0/H4M9rFmBPWzwhT2YtoU9XiZ5PbFYdj1j04c9aNCBPR7heD0fqoc9fJWQPaqGkT00DpA912KLPai+iz1H3Yw9d+mGPazxgj1fiHI911eAPXoqhD1IDY89YYWMPeSFhT2m4ZE9i4GUPX+5kD1W+Y89QYWLPbRFlT3UO5w9yquZPTuWmD2dCZk9MqaTPXc9kD3ll5g9Zi6PPYu7iz3LT4I9NjSBPU9ghj0NDpI9mreZPXPElT0xT5I9/XqcPSaDnD0VS549N5KmPXmnqD1W4aU9CZelPVdooD1CgbE96nGpPXZeqD1JHKw9ImOtPUBspD3ayZ09gNOqPUadsz3GY6g9TxSkPUH/tz2pNLU917usPfITrT09L609TKS2PUfBsz2lGLQ9Y0iyPUTVtT3xsrU9T0q4PX1qpz06bKg93+O/PTmwzT0j2cQ9fKfHPRWI0z0HN8o96US8PXNGtz1BILA9VvaqPeZkrj0KeKo9U3W6PcFYxj2c8cA905+3Pco5tT1G5as9chu4PWb/vT3Lo7c9bgi1PQj2sz38qaM9aJufPRs0rj0X5rY9+X24PWdAwj1W4LM9ESC1PTR/tz3Ksrc9U0C2PSPgvT39CMo9nHfDPe/qxD0RzsQ9tt2yPYi3pj0wDK093WeoPT9+rD06Ia49TQ+/PVsqxj3X8bI9soOrPXg/rz2/3K89ACOsPflFrz1Ch689Pzm4PRootT0igLM9yGm1PQ1wsT0YZLE92TmvPQ+Qpz0NPqE9HE6jPVnjnz3SEZk9+MeUPUZSjj2QGoY9ygF+PQ+Bez3tMII9/w+MPR0yij1AboQ9B8qFPYXljj0LkpU9qOWQPUjwkD1cSJ89i7KgPQlgnz3yKZg9x92cPSUuoj16z5k9N7WbPUmQoD3JY6U9VUqpPSgVsD15vKE9MFudPbEWjz3zI4Q9skh7PWHbdT2rcnA9Te5zPWqThT3hwI09dm2QPUwXkD2H0Js9qICcPTRioD1nlaU9NVKmPSzYlz1aDJI9dlODPYH+hD2SCIw9W8qSPbkxij3w+YQ9+GCLPXcdij2dBHM9O/1hPW9XVT1eo1Q9dHJWPWoeYj2hm4I9Rq+NPeaKlz16B5Y97/+LPc3HhD3rF3c9zWhuPWwDdz2pIXM92UphPYIDYz33R3E90qliPYEnPj0H8jM90MUxPedJNz1UFUk9EcdHPc2ITD00b1w995RbPf1kUj0h5Dc98GU4PRRaRj1mOEs94mtNPTYiPz1XkDc9LvA7PSHbLD1kxiU9PHwsPV4oMz0kk0E9lpBOPd3ISz3t00E9ITBMPa4/UD0JHkE9erg+PRk/Oz3Ehz89gsdCPc7DQj3vHUY9dklBPf87QD1Ifjo9o3BGPY1ISz2Krkg98IF/PViIAj4R5Qo+AcCnPZ1bjT0x5m49II+KPbLA0T2Yrug9Qiv3PRdb/D0F+xw+z9pAPiUONj4VCR0+ea0NPlyICz5QDRM+/KMFPpzbFz7VTyA+rzAlPjBXJj7bbiY+bCIlPrT0Fz5eZBk+XicfPj0XID5QzSA+QlEiPqinJj7M5SI+EcUnPppSID62phY+P2oYPoCWHj6teSQ+V0EaPiiMHD6hPR4+M84mPqKmPj40Wzw+x9IqPpzjGj4Cqxk+yw4fPvmXNz7BJz4+M4UjPl/iWz7mDWs+T7mXPjxGlj7mlFI+vxQzPv2lOD6VJTg+Vqs1PkvENj7eWFg+DyJqPpeHYD5yyGU+7iNqPvaAPj5PEEA+wag6PjFyJj7nGCo+M/M0PmRxPD7V+D0+UF8qPhLkFj6zeCE++VE6PsMDQD62yyk+k70tPuL4Mj4X6D4+6z8+Pv2nLz6OXCE+XtIfPkW3LD4XqTQ+Zc8tPlIgMz4x/j0+8YxYPqswUD7V1zk+AbM8Ph0IRz45wSM++uEYPmPhJj7gexo+WxsoPvGINT5IKj8+MjlPPiQ1SD6jrTk+VjEjPlwPMj6r2FA+/ms3PlggOD5pnDY+ALYvPop1KT494y8+BbErPqZlRD5FJV0+0w4+Pg9SRD7jCW8+EM5PPqcqHz5SnSk+aNxUPmOwgj5nkoA+I4RoProBVT6MUTY+e2sqPpkmLz5CKys+3McpPmknPT5pND8+Djs7PrT/Ij4wByY+AkA0PuV0ND5zFjE+L+8vPqDtKT6PFDw+rr5RPqGjNz5K3SU+GIsjPnsxJz6asjM+0Sw3PrM/Oj5odj4+hQpCPoz7Pz6NXj8+cs0wPvFSIj56/Ss+yCIxPnpdPT4K+DA+rU00PouTPz4Yxjc+HYJCPiWmWD7zd0Y+XM8pPub2LT5Y2jw+MEVHPj69Qz7/5UM+vR1HPkCrKz5mqy0+QPN7PiAFbT70lTY+wnEwPhlRHz5EbTQ+O7ZVPg9FWD75Fl0+VNNJPjp/Sj7hNzk+zTM5PltROj4reT4+5os7PpGLPT6tZj0+xWpNPoE1TT4zWDk+lHZFPrRzSD5NDRk+0AsXPhrwFD4AgQw+ptgCPnqPFD73kzw+RDwePvASIT5sPjc+inFAPt/BGT5yLAA+i2EVPuSRET48Eg0+GjYsPvgMPT7fgSQ+J202Pi2HYD7TMlY+3HQmPit7Iz7+4yc+UncoPhyFKj4aRyo+cIwtPgoFLT4VsCY+FIkpPoknKj4bqSs+/ykpPmyYKD6gfzg+GCFDPt05OD5/7TA+/jEpPl75LD6CASs+HVkzPm83Qj4IoEk+yYZTPvyBVz6R7kY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8HvO499ZnqPcRi2z3FRtc9fA24PUMYmz2jPHY9NU1fPT+DWD2W2mY9z95tPTC0gT1GjIA9eemEPWR2jD3Mkmw9SB5ePQS3Rj2o1009bhRfPVRFcT12fG49GYlvPfjicj0/bVs9n0ZYPQ4KYz3CsVw9pABdPVPIWD2N7FA9zmJ4Pb5niD1ih4o9+8WMPQQalT1Jx4k9w7N4PfiWhz2CXpw9066gPXvRqD0PbKM9lHirPfe2tz3DIKo9Vo6VPSFZgz2n9YQ9EAKFPROQlD36uJY9nRKNPfGHfj231n893Y6JPXLHkj2lQpE9rEWjPUpAmD2LEJI95eyOPauXij22R4Y9n4WJPTr2jz1XQ5c9X1aSPbsjmD35GYo9l/iIPW9riT2zppE9TNCcPfYDnj2/HqM9ifOUPYKViz2cp4A9oIaOPUGEiz2+5HY9FLGBPbbThT3KUoo9gAaRPf0Unj0rcp09UWGfPal4lj28XoQ9MsWBPWl+gD0xkYg93jKPPa3Gkz0i25Y9BcGRPQN/iT0wBoM9LONqPWZUWz3oWE49GCRgPUDPZj1Zf2g9KUlpPfObbD2B7GU9DBiBPauflD3RkYY9h7yBPRo0hD1kxIM9QcOIPUEphD0Jx3Q9wzhjPe1haj397HA95hqEPYVicz025HI9EQdsPYNeaT3xnWs95qxfPbGAYj0qimY9FmJsPbUsdD0lFWk9x1Z/PbJkfD3THXc9zcJ6PbDbfj0h0oM9I2OEPQzRcz0zwWk9NC59PUZ1hD2nSIo9hTOEPResfD3odG09Wut+PfPCdj0fjIM97uyAPXuybz0ea3Q9h1ODPUUtgz2ySXI9N3JkPQphdD1Ka2099dRePUaPYz3M9mM9htJjPRgpcD3QTHY94tZ1PSCygz27T4Y9KfuLPaAujD3Nw5Q99AKTPV4thz3+IYQ9AnF7PZt+ez1S7ng9yl95PTzBdj3UAHo9yD+FPQcmiT1Qros933mRPVPdkz07Q5E9ZOWIPaWpjD0t04o9WBiLPZrjhT2ogok9qXeNPbUJmD0HlJc9tUyTPZRTlj1uFZw90nadPRSfjz3Gapg9DmCgPfGEmT3klpM9AEWRPamblD26wJE91J+IPeM3iT3SBZM95lyTPQbdjT36tpg9NAShPQ0PnT2tJ6U9BriiPbPdqz1/OKc9JMKfPcufoT3g06I9yhOhPcRuoj3hrqE9T5GaPaa+oD3UQ589g9ChPXagqj17g609aaynPekLpT1ty6o9eE2lPYIwoT1AIak98s6mPa1loz3bxp899LKWPVtukD0a65I9O42mPZwrvT3h0789xE+7PZzesT3EYbw9m8q4PYNntj0/Pb09aJnAPdduuz2ONcU9TmnAPStdtz3OT6s9Bu6mPWD/oj2R+aM9Ca6nPeFOrj0zvbA94JmwPTDOrz2xR6Q9e0KkPfFLsj3FwbA9kxOrPa26mz1J2549PwOjPTDMnj0mCKQ9JpymPfKptj1VsL89se69PdXErT01NaU9LTClPZD0rz2RXb49P4u9PQfSvT0z/Lg92Ge1PVxUpz1eSKA9vYejPe17sD1+RME9zYPCPVi7wD1TusA9PNqvPfblnD3sDZs9xWGbPTXgkT2rrpw9xceoPStntj3CZbE9+3y4PRI/uj3iRLU9lwGnPYlUqT0vFJ89Im6UPWbpkj0IPI49vBWIPQjcgz2v3YM9MJl7PU/4eT3X5Xs9ISiHPedJmz2Q2Jw9z4+XPQgrmD2fypU9hsaIPVl/iz345pQ9we2bPbjhmz3trZ09u96gPaKtpT0RMaI9PX6OPX87kz2iNpw9eSGXPUGnnj2+3Jg9jS2LPex2hj3LwnU9ahViPZiVcj3D7Hc9MiKHPcbQij3f1ZY9Q+efPXjioj2yap49kMulPTf+qT0UEag9JqihPQ4YkT3t25M9QzyNPUfcjT0R05Q9OjGUPbKvlD020Yw9YXKOPY7ukT3sz489DdiEPWFhdT2z/nY9ybCDPSTXhT0bcIw9A2SVPZOFhj3uz5c9TAmFPZ/6cT0Pf3A9KNJiPRFmYj3PsGA9EFBnPRjEaT0WoXM9NJBtPcLxVz3eBEs9BRRJPcNMSD1TxkQ9P6NOPSg4Zj20SGo9qgFbPRjIRD2ozT09a/FAPa8FRj1f+EE9UwtJPcQxOj3QoS49/QkuPYSPNz3XPzI9UdEsPYgGNj2ppz09AZBPPZ16Wj2ya0894+Q6PdPxOz1WqD099Vc9Pd4UQT0QijM9jfc3PY+qOz1KFz09B+E2PeCNMz0JPDQ9bKc3PTgiPT2u2z09SX8xPba/Iz3rMzI9EzQ8PYkQOT2+Uzc9J9FCPXvMgT1/fJk9LCKbPT2ltj2tqeM9VPYJPqZfLD6TgCY+GhMpPi26Gj43mhY+HeoZPtVNKD5C2CA+nuUbPvMMHz4p9CU+Fi0jPgvrED77Sg0+VkgZPpCiGj6xFxU+ASYWPjTYHz7KuSU+FwsfPktSHD74+xw+XAIdPjsJGT4yUBY+XCkQPiP5Cz7GLiw+Pxc1PkrJQj6s6Tg+m3I8PqDbIj4PFBI+c/sVPub0ID5sBC0+F3QuPieYIj7eTHc+w8GDPntAjD4GrGE+bqBePu1yVj4M4zQ+/e00Pi0pOT7UH04+GlBIPsE4Vz7/RFc+L3FYPtXMXj5JBlk+TfRNPmJLOD5doyU++IgzPggrQj4FUU0+mP87PopoND7TkDU+jnhDPgtENj7nSzU+47EwPgnpLT6BcCs+Jj0vPutaMj7NoDc+GO9CPiRhJj7qkyo+frs4PovIPz5uwD0+hRhRPqEDcD4GskY+vnE2Pi2YQD6yTk4+QvdMPklhRj4buD4+kws6PobwNz7PFC0+rj0aPlDBIT6DIi0+gPYgPlH4ET46qyY+w2tYPreVRD5eijE+BYdEPrfTTD5ZHkg+4DQ2PolIND7xdDQ+jWo4Pod9Pj5wu0g+6aA1PhXfNj6kqTI+a685PndSOT4bKzw+2Nc+Pse6RD7aHlA++mY4PhGPKT76zCc+ARMyPhByOT7wnj0+gso1PoDZMj55lzs+8fU5PkM2Nz645zg+ZUwtPrdgKD7qgSU+7Z8+PsiRVz7BvVo+WflKPi22Rj7kKzQ+wDUwPka/LD4CwDw+K31ZPtqqTj4htjU+mS1HPv/rOj7HHiY+WFczPoT4Rz4XI0Q+D1IsPrYgKD6DUjQ+jVs0PjyYLz5GxDE+o+IzPlXcJz7bryk+32EoPoxuJj4HXio+HKE4PsNIOj7thzg+Fds3PnGgQz7XekA+J/09Ppp8Yj7KmlM++sdEPi/PRz6C5EY+zUdIPu0CRD5yVT8+YKQ0PqloKj49qDE+5n0/PsfWOT7gTEA+B39JPo/jTD6b1Ek+2lA/PqvGKD5l9xk+MZ4oPjIBOT4uJyw+o6wOPqHd/z3a/AE+ehQDPqpCAD6gBg0+5rQOPismGz5pWBk+1u4MPp2WGj46PiU+qw4yPvfmQj43Azo+T4w4PjfRKz7y7io+A0QrPrfhKT5hch0+bzwlPpCCIz6csi0+VK0qPnkzLD4+fhg+E4ISPondRD7Pi00+pmUuPt56Jz5TLTs+Qd9CPqFHTz627E4+n1gxPgi4OD69sVI+mX5FPnZjMj746D8+eg5QPpIXSz6m6Dw+moM9PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/836gPZDMrz2mYr89EIitPT85pT2u72w9PDJRPYrjVj0q8WI90EZtPeyncj3G1Y49ji2OPX8sdj3BiHY9/sRgPb4eUj1Kq089aclePeYpZT0/pG099eN1PSL0bT1hf249XGBmPXwFYz2AaGo9DSBsPWruUT31wk09WMhFPTTHXT3nTno9HgeNPXWKmD0sQZo9iDqRPcXHgj19coo9vhCOPdSOjD0dcYg941KFPaM+kj1yRJY9qLuMPZn3hz1frIo92AiPPQyKij0xK489aiyQPYYZiT33tIc9NEaFPXIPjT3QC5E9xkeaPSNbkj2A1I89EH6IPdTphj26YYs99f+TPXRYpT1xJJ090S2TPTfvjz39sI49ACqVPY1mmD1gZ6M9z86nPRgynj3izpE9GbeJPZVViT2+2ow9E+KWPRrMoT0HkZs96h6EPanLhz1xeYs9S4OSPc8loD1f1Zg9TeWNPSHdkj2BZZE9k/KXPc1ulj352Ys9VVSKPX56hz1naos9InqGPSVHaT2CXoA9cluEPYSfhj1Qn4Y9bkyAPZzgdj3kmGg9989kPdKdZT1FVGg9RDtqPWpzhD3daX49icWCPYhAiz0Ygos9RTqMPb9+gT0bIH49EqWEPW7bhD16Znk9P1xxPWd5bz2HWnM91k9uPesnZD1+Km09C1x2PTtjez1EZHU9G/9yPYU0Xz1C/Vw9LuBdPTFxZT2vT4E9liyLPU2thj0Sw4U9Tt6GPTmxiD0JlH49Mg9uPZUgdT2ZN3I9LZZxPcNegz2fdIc9AZV7PUmmjD32AYg9aMeCPUK6aD2DN3Y9ZXmAPbThhD0V4no9oyB1PagpYz0onWQ9eRJuPRftbz1Tdl492xdaPT1XVD2UsWU9/siAPUvahD1QLo09PgqQPcRSjz3BhoI9+TODPb+OhD2lNYg9XkuJPSB8jD2VS4A9mL19PZ0cfj3by4Q9HrqHPWTUiD0IKYw9kVWQPXUvkj1rAJs9cH+aPWLakz0Th4g9CESHPdm0jT0Hc4g9JaSFPSsWij0YUJg9Me6VPe28jT3GOIs9yPKLPSg6jj32EJI9YauRPYHJij3CWIo9/giIPfZshD3e7IE9zSqPPQ/Gkj3tqY091NyQPcC9kD39uJA9bUGWPTP2oT2pkKM9AoabPWV9nj3AsaA9P7qdPV+Pnj2byqY9eT2ePaxHlD2Wt5M9IBadPchoqj0draA9PImkPS7mqD22Aqo9lRinPSyVqz2riKw9U3CsPbUEpz1HsqQ9ErSfPT75nD1TGZg9TO+VPQZ6lz3jsp09STeiPUV9sD3carc9FFvFPUSqwz3swLM9A26wPb/Crj2de609lFWwPaptsD3bK609y5W8PUJVtD3yZao9bHaqPej/qD2YrZ895DmbPVxNrT3cba098WSmPWhBpj3ID7o9z/mzPT+crj3etLQ9xae0PTTNsD0hl6w9M/KsPZTIqj3G+ag94J+oPXzPpj1T7KU9KkGjPUkgpz1kgao9SrzDPf/Ezz2s/9A9CIDRPRBjxj3u2Ls9VTiwPQdirj1Z5Kw9LZW8PeIruz0UiK09y+ekPTgRpD1HcKQ9SNyjPe4Slz1JJaM9CgeuPT64oz3L6KE9GdukPYuDtD1ria89z1qcPQvMoD0g6aM9yGOsPQWEqT2bwKA9g0iaPaUulT1bUZM9O1aRPe9TjT2AJn09oXuFPcbFij38j4Y9yQaGPdfriT3JHpA9lWyRPdOtjD2Kx5A9yKCPPdeVkD0dbpc9EZibPeyInz3+XaQ9WMikPaWQoT2lpZ09jGGUPcWYhj1scYc920eQPZ10mT1nmos90f16PRUjgj2or4Y9aAOGPdt2gT1MFII903uNPUQKkj0ycZY9N5ubPfnSoz3BQag9lBKgPU0Pmj1hmpo9inybPbesmD2nfpw9+ECdPV3CkD268Zo9NjKdPfGTkz0TyJQ9RPCOPWJijj09/ZI92RmOPQVShj31CIE9n4p5PbXUfj1MVIE9/diHPfaAhj3+zXI9VaFqPZTUdz1/13Y9+rxmPZl4UT3rO1Q9JhJZPd5CYj11YXY9Dg98PfMobj1zB2A96slcPaMTTT0+rVk9j/5fPeXeXT0PzVU9KxBIPU8DOz2R/EA9hE1HPfSQRz1b8zs9N/pEPcXkQD1orjA9QXctPfq1Jz2x4zE9W/Q0Pf5DLT2JsSw9fuotPU5LMz1tA0E9xyc/PcqkRT2cN0c9up5LPUTCVD3pcGU9j6NgPeJ2VD1sGU89WYJbPe4DXj3kZVM9MOpLPTEfSD3oaUU9ZPg3PePnND3JsDs9VyJEPQybRj3i/D09BzAxPd2KMD1pIkM9AMZ6PdlSlj1Mktg9dU0UPnoOHD4y2y0+75QjPj6wGj4stRI+S3sTPi5dGD487yg+htsbPpzsFD5XeyE+QyszPlqcMD5EbB8+WiobPiMSFT7VRRE+zNYaPmZGGz4rPhs+7CgePhRBJT4sti0+5jkgPrLDHj4ddhw+gIUTPllbGz61syY+7TUePrVdJz4wey4+OKs3PnizPD47OC4+QrkUPotAND5t7jc+YZA5PplpPD4njFE+oIGBPhrRgD7QqGk+JRZNPlGfRj4Iuy4+cxotPvAkOT4tIz0+6OdKPu7QQj7LTkQ+tTNNPhtdRD6uDVE+1RBgPrJfRj4HTTc+3zozPrvVMD6uBzs+BDs+PvdZPz7cG3A+0AVCPt+CIj68yB8+fjMqPoJJLz6lizo+UjA9PmmrLj6HtiM+qUsnPqQsPj46lU4+1WpLPhzjQT4SBUs+Qi9NPg2HRz74lXA+8h9kPo6+aj6gYHQ+Gct2PqbWaD63vlw+rA08PmVDPT7Qjz8+erccPnh4/T2UnRM+1+k3PiEcOD7aczI+g4o0Pu/lTz6nnF4+eXlQPvTOaz67QoU+r9hfPrC7Qj4fAzU+YpguPg1/PD6yR0Y+WfpCPrqxNT4qsC0+sxoyPiXgPj5i0kQ+ma4+PpRWNj4Gjjg+DbA2PpTiLj7xpCo+MnscPu0xKD6xjkY+3kNHPhfHMz5wRyw+IqgqPmvjOT70/0o+Cvw9PnvRLT5JCC0+S/IvPm/SSD4YpU0+Y2czPhEQPj57xkA+1bQ7Pp5dLz6ZMj0+2GhRPqFqST4+rTc+wIg4PvGbQz6TEzY+kKwmPvJrMz6cA18+z9ZZPkJkNT6jcDs+r542PjpBKD70FBg+XO0lPuMXTj7mW0A+ZhFfPh4KWD4pMUA+C6VBPuV9Sj7uZ1M+o4eAPi2ZXz7JY1E+11JkPt2jhT6dWVw+xxotPqC4KD4Zfys+C1gwPgJQOD6t/Eg+on5LPgTDPz4XLTg+bm44Ps+uPz4hezw+WGYpPgtwGz7Y0xw+kcw3PgyNKD6QNw8+nlscPnDSNj7/+j0+/9BCPtC6Lz4meS0+j6xBPsIJJz6dUSM+DzA2PgqOJz4stRQ+s3gePol+LT7Ddyk++GIrPvb+Nj79TlU+Z5E2PgD0Ij67VS0+bM0lPjdiFD5voBk+Z94tPikhNz42ryY+D4gzPsucMj5hgSk+UssbPtrQKT7OBkI+fzo8PsGBKj4rkx4+AVM7PtScSD6XNkE+bxZCPnowPz6WK0I+zd9EPuZFST5EUkc+f1k+PpMmOz67Mjs+9IsqPqYeGz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyUYrT34q6k9tHanPaCxij3cNVs9tJJDPa6+Sj0vmkc9nDpZPUG3cj0s9249kJdzPU6LgT0zQIA91bmAPVOSdj3QfVk9YdxXPa2QVD0lqEo9FJZGPasyfD1hzoY9aeiCPZwnbj1b0mQ9Jp9XPZx6TD1rWlw9zARiPW91bT1LC2g9fOppPeenfz0G+4o9wmqPPXGEmz3ad5c9iRqNPVERiz06LIs9FqeKPb2IhT2T6I89eHmlPVyooj3B16Q9ys2wPWJkvD3UkKY9bwGPPbGZlT3PRZU92FSaPSAfmj3twKE9EVihPXI8lD0N5o89iH2MPWFRjz2J1Zw9VzmdPdA9nj0LmZU9gbWKPYUkij04LYc9/LePPSuEqD3+yro94CXJPQYIvT2iiaQ9cfeYPWyNlj3vzZY9R+aSPWEMjj21Rog9XziDPSf+ij39pJM9qiWTPWC0iz13SYM9SkKLPVxDkz1V9Y89zEuMPSC9gz3Cd4M9WvuKPZYfiD2uwoI9l9x+PZzzez04Cnw9EWmJPTVLjT21uIs9V8uQPTC4jj0Gjns9MvqKPYwakT0Bg3s9sS6APVZUhD1rGIo9IB17PbsbcT3UZX09M2p+Pa6qfz2p9oM9JO+LPVsFkj1TkY497ed1PRQ/aj1PDWs9dEpzPRijbT2J2Fw9HWNZPZqIXD2hXWA9cWBdPfHOXz1LmV49Bd9jPbuoXD3z63g9SFWEPbonhj0rz309DD6DPRpPgj1+ZYc91suDPQMDaz3c2l89rS12Pf5meD0+RoA9mzCDPXpRgT2DDIc9VPGFPRqKgT37cYs9m0GOPQQSiz25f4I9/ZR0PYf6cz3sOW89kJFxPckGaj0n7Ew982RaPYbsYz1OmmM92URoPQt5eD0puHA96bF3PesgiD3qkIU9Ul17Pd0siT3lVos9ebOLPU+tiD1hwIY9HwaGPa/2iT3OE349IId9Pcu/hD2U+IY9bQmIPakbiT2sZZI9vxWcPR2boT1/q5o9gieOPexDjD3ldoU9NfB0PbvugD2qX4M9Zx2DPdg6gj3uios9G7WUPRk5jz2L9Yw9eQGJPa5hhz0s04M9dgaFPaWlej1zbIA9bweDPVeAiz0h9Yw9Okp+PQSciD0J/Is9PwGRPZWumj3ZQpU9VVOJPVXXkj3eXJk9Z1aUPePOiz3wYoo9iTKUPT2BlT0w4JA90PCNPYgGjj2kCpo9yOKcPQd5qD3L5q49s9auPSDDsj0Gnqw9irCfPQDrnD3WEZ49k5SnPaiZnj0Tx6U9W7qjPdK2nT2Kkps9up2fPf9foT27zLI9DP6zPRgCtz3QObc9om2yPc8FrT3Aj6k9Aom1PTCNuD1fb609S3GoPek/qT2/D6Y92IWkPRJgqT3kc649WZysPeCNsD2S3649XamnPeBCoz2wpaQ9SGqrPYyuqD3uHKg9CB6uPfV0sT2P3rA95HqxPa23qj031aY9nYinPe+4rD1/0rE9aBOzPUgptD2iDbk9chqtPWKWuD2PVbU9GmqyPdCttT3WGr09loy0PTTKsj0IE649vmatPdeTsz1gp609fJuqPTeioT25Fps94oCYPdy8lz2Z3qE9McWwPQSSsj3OT6U93QykPUh9pT0pCqM94jOhPcdznD3YL6o98aisPVHErz2QYKk9CcubPaHEkD1hYYc9/W+HPeQkiT13oYo9yD2MPcZOhz3/EXs9J/d+PYT5gj2OF4c9osCEPbLHhD02SI49iNyjPTT+oz3kJ509dtyVPSqIlT1E25o9y4mePUA6nD1ZNJY9dWyUPTSHkT3xTZM97ZeSPcrikz0dB449hZeEPcDSeT1cZHw9qZJ5PWYUej3wt4M9rsSLPRZnkD3XUJw9+A2fPY72nD1o85s9SMqWPWc1kz2b0ps9PsuhPZpArT2k6qo9GxmePboplz0Pxo49e2eNPZP/jT3kW5A9mamOPWK3iz3q2Yg92a2EPV0Uez2dBoA92PeAPYvthz1I8Y898oKGPb3Kgz1VFoI9wI6BPYxvgD3EBIU9w0l3PQ9YXj0dzE49Dvk/PTTiRz2sO2M98FdwPZzSbD0Hq2M9VK5gPeXVZT3m/Wo9VLFoPQfsYj1Uf1U9bZdBPWJPQj0Q90o9bqhVPf94VT3Pv1Y9JldjPRFNbz3kU1g9IfY8PaB2LD0JniY9YlMhPfsQIz0X0SM9RTMvPR5IMT37TjE9O51BPWBFST1PR0Q9YCJHPVkiWz0su2E9wd1nPVBsXz2+cFc9AYhPPQIabz3upXY94GByPWC5ZD3lTEo9JnlEPQmpST3Rmk09ahNoPUmaVj0PFTs96PtEPaznTz31NlE9ebNhPZpfhD0R3Io9CYkZPtWtLD4+aiA+S2TVPd/L5z0BCgY+HtQmPhAfKj4eQyc+Yu0zPjSMKj5K9iA+kFgoPumqIj4k3CA+/hAhPiZwIj5X1B4+FRQcPt+vGz47FBE+g7USPo8kGj7vyhs+8RUlPs9uFT6exxY+PLUXPkKoGz7R4Rs+P6IRPteUCj7okCI+icYgPmdwPD6TU00+NQExPsL+CT7BzyU+QloqPh5COj5k0D0+wAZLPlmjZj5Ed2E+O5BWPjorWz5HIF4+EV41PtxjSD6eQoc+xjSAPs8aXj5nzTc+rwElPom0KT70mCM+MXswPu2dTT5lZkk+daxEPo7kMT7NFyI+q90nPrOyST4c2Fc+qrIqPnOuGj6kYS0+EioxPmZ+Lz7tDjI+KmgtPvCILz628R8+2KggPvF2MD7lBSw+rmYyPttqLD4XTDM+KuE+PrGoTj5Zpn4++/uBPt03WD72MF0+brhpPia5dT4ziGk+sNVOPjm+Lj4saio+d5EfPkFbMT6Y9UA+mSc6PtdZOT650jU+AGQ3PgqgQj4efU0+YK9LPoktQj6Nc0Y+o2tOPgJPOz58KDo+biM6PqA7Jj5BAUY+UMBZPnMGPz6yvS8+ABYuPh/+LT4Fzkc+m4lWPn9VTz6ZcUI+PgwyPjNYND4+Xjc+kIc7Ps+/OD5VhTQ+9bpGPpSxRD5LzjY+4DI0Pi3pND40vC4+jlIoPi3eQz4yuEI+g1Y5PqKIOj5mt04+InZRPgdRRD7BqDs+23k4PjLfOD4E1j8+4LxJPm+6Rz5D9Tc+cq5APiLIQj559z4+NAs8PoS4Qz5z6TI+y+89PnHBPz755EM+LtROPlb+Qj4quSM+O0wePl+UKj4JdUg+HLRPPn/LXz4BZkQ+jDNqPiyMfj6u7IU+4vhqPqGndj7nnFo+B9xFPkBekz41UqU+KbiGPqlROT6ZCS8+nrkoPtKPNj67vjs+qM1CPrGwPz7lNzQ+pkY4PpNpPD6ro0A+acQ+PvM5Oj5mZjw+kf9CPizXOD4M9SQ+ALIcPgQ5Mz7WfEA+mc4/PqHXSD63ZUE+h5U/Pu/fPD5Rnj4+llVDPhhTOz7egDE+j/gPPr2LGD5rmCA+/9AuPg4sUT6Y6Eo+f5NAPh5RLj4dBBk+bU4oPni+LD5+aCE+SAwTPg1TEj7I/Eo+IhBaPtwJOT5bLS4+Y7YhPjnGKD7J3SM+T7kePrjJGj7nFRI+0Q8YPqEBTT566j4+DylFPtA1Tj7Kwkk+3E9NPsz0UT7/aVs++utYPtRtSz57fE8+EkpWPpVhRj6l/z0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9zNoo9XBKDPUTPdT0mPGo9tm1NPXRHST0Nt0w9AppgPbBxZz2o4F49K3JTPWv8Vz1BTmc9+RxyPf+RdD2K/Xk9rG1ZPZ8STj0EK0M9Qa1RPXTqaD0XH349SM6IPdIhiz2bTYM9ivl5Pa2xcz1JVGU9DM1mPcZjaT3Tym49eJFkPbhbVT1vY2s9o9WAPafXez2saYU9O5GZPV9Vlj1JAZM9NeqUPSdVnD1Js5g9iVeZPfUkqj2DmKw9jh6iPWGFnD360qQ9oO2tPSowlj1gFKQ9r8CkPWPopz1V2a49ePmlPbiCpj0WvZQ9qOSQPaKVkD23A449ypmTPVpYlT3YYYk9s/2CPct4dD2BXn494ZOPPTcloT1vEcw9XorLPV5wvz0up7c9Fa+1PZfttj0Q1Kg9ztSZPd7Skz2wD5A9lWaGPX7lkD34jJU9dzOOPcBQhj1eY4k9LjiNPcbBkD19Mo49AnaCPb4xiT0Shoo91RSNPQXLgz3Fc4A9/3eIPdIFlj16HZg9CFyTPXUEij3VK4o94917Pa+mcj19K3U92CN/PaWDez36+HI9MoBiPdjKcD1cTXk96ZBtParUaT0lZHA9Z+iLPYPHlj2zxJY9bCuDPU0vhz1SnYE9h6iEPXVReD1wZ209yLFsPUFrZz255F09zqlfPcyXbD1WN249nO1tPQPncT1AoXs99eh+PdY7gD03hGs9QuFsPZVTcj0QLm09y7BuPcL7ez1IfoM9oC6EPfnWhD0gQ3k9pZlwPe5Kdz2lnm49yQdwPa/LeT1S5IY9LEqXPTxYlz1PmIM9leqAPfv3dT2fFG89cJRnPQKIYj3Iy2g9hpFrPf5Waz1GZGI9gBdYPahOWD0KL3U9W7F6Pe7Afz3IMXw9SnRxPb+Zdz0f8Yg9uN+IPbvUhT1C/ok95heLPdymbz0gJ3M9W2h0PQomgz1jG4c9xuV+PdmGez3IJ4k9z+qQPQmvjj2NYYw9+dmTPYculj3R4oc9+c+EPWKDhz0SQoY9M9OCPTrGiT2n6Y09SHSJPWlsiD2cgoY9JJWFPViliz1dgow9sHOGPV+WhT2WdIc9f1+IPaKIiT2FuYk9Xc+IPdJSjz2c8JU9JzmQPVkGgz3s0ok9xSqQPWXNlj3uL5U9gYGRPebRkz0au4U9DziMPRdZjz3yoIo9WPmKPfPJmD15I5c94riQPS5qkz0b6pQ9k1WaPXgdqD3Wla09n467PShFvz1It8M9jFW5PfZlrz0a+bI9Rl6yPfoasD2oU6c9B6mvPSTssz2ErLE9T+mmPX4roz1TtaY95tG7Pf0xuD07HrU9p3yuPefOqz2Dua09TwKePdXUpD2TM689HnuoPX75pT2hXbA9NaWuPa4ZrD039qk9FVa1PczItj0embE94yKsPfN5pj1S06U9ekSuPQkFsD23Cq49GS6mPU2joT2gd549QxGpPdvirz2J6bs9rXa7PR1atj3mdLI9RGypPftYtj32t789mWm+PTG8tT0aNbo9MkC1PRZxrj1ogrI9FvG7PUU9sT2ND649pnCuPW9ErT3dDbE91DCwPcXlmj03vJE9dcOZPQn6nz2Tx6M9iW+tPZlatD1EBL493b2tPb3zqT3QO6c9BtycPSGhmD1w3Jg9IuecPS1cmD2705Y9mz2SPT4Fij1tzHo9eid2PdS+gT1qMX49gRV4PUIEfj0Fd3Y98px1PTgxhD1N1Yk9K7yTPY3GkD0qzIw9g2uWPWFekj1hB4s9yhB+PYzggT1Nd5A9udygPfcbpD1HvKM9dUOjPU6Akj2nJIw9Jq2HPa1qiD0rJo89SdqKPScWiz2dOow9rDWPPTiTjT2vJ409uh2NPcUimT0+E5s9MA+PPT2diz2sEIU9Cw2FPfeKhz30lY09TqWMPXkrjj374I89aw+HPVFQgD1bGIQ96uSLPQmHkT3aZZE9JZSRPYEpjD2LsIg9YVWFPRzMez2lNn49yi14PeB6gD1Pv5Y9PqCLPTUWjD0bppA9IDySPch/kz009Yc9Rt9pPU76ZT2gYG49UbZtPTK6Wz0Sxlg95llXPaVvTT1gil89wAhmPYFDez20C3s95AVvPfanXT2gDEo9TuI6PZbtOD0jQUE9cTxIPTC4TT2ehE09SMRNPVTETz0iW0w9y0JDPRY9KD3Lkx09scwdPWfbIT1JuCM9qskpPeqVPz3NjkU9MTVDPbEMPj37AkQ9vTFNPeuQUz1UIVY9Z2hUPbwpQj3rUU89tNVkPY5ddj1ykYI9mPqDPbzDhT3pxnU9CdauPTYPEz5WBiA+rIEjPrXWOD6zONM9b9CEPd/8Uj05OUc98+NNPSeAUT0ArFc9+L9kPTbboj0HDbI9wHuKPegmTj2UpkI9+R1jPQv9wD2xZxk+VpspPi5yKj7Rwyg+e68qPn8ILD7ZGSE++bYgPklBIT4suiE+BXAVPvmnET5FqxU+f9MHPm8pDj4nCBw+WTgaPkIIGj6jcAk+bQ8UPmxfGD7NThw+VfAXPtgvDT4Hix8+Wz85PnaiNj7hxz8+tvJOPjYYPz6Z5Cg++HNFPrNyNT6+Vyc+6GgyPgk8Oz5+Tls+eyxxPoZQbD4oMIA+Nmd7Pq85Qz7/ykQ+AciGPjgViD5foGw+wzs4PhHoLT4tgDU+A8QrPjkKNz4tJ0U+ithGPinILz5JMjE+AhA4PmZOOD5aPkM+osc8PppsKz7u+CE+4GM+PmcLST5mBzs+Ltg+PkLUPj4g6CI+a58tPq9aQj4+JUA+zzgnPjkzIj7i2iI+VMsfPvTzID5Y9C8+FZVrPuwWbj6spEY+Vw47PsbzNj7xUjo+xbw2PjazKz4W4yk+ZN0pPmg4MD4jKUI+UK4zPlCmMj5Tdzg+Xjg9Pj9lSD56v1Q+L7lHPiieQz4XnjY+JkgRPneVCT5mSA8+enozPnj/Lj46ESo+Qgo4Pmc5Oz7K4zs+Y4ZFPtqgOT5ePDM+onktPvF6MD4E0jE+GPAvPjj6Kj7bCyc+20YaPsz+Pz4FpUs+7BpOPlLlQT5Ja0c+xao9PgdvOD5NNDk+4DowPpVyHj763UM+ijRbPhdWUj66DVA+3MlPPk1oPD55EEY+m7pFPkXbLD7fwis+66U6Pov1Pj538Ts+8/w3PqXUPD6MmD8+Hgg0PhGPMj7Eb1w+pvNPPnqbLT76jkU+elhPPk6OTz7qTic+PVsWPn4eLT4U/jQ+y3IwPoAmRj7A1ZU+wASLPgNBbT6ZMnI+88aFPn6ggj7S9EY+TVQvPtq6Uj4FdWs++L1oPoFtUz4dNGE+GDWGPhhjLj49AD8+6pRNPm3ZXT4BJEw+cDNEPsQQMD7gQDY+yGVGPofRUj6MUzM+6BE5PqC9OT4W2xY+IHsSPqwnGT5uACU+JN8uPtYdOT7T7zg+QjgxPvnYMD4ooCo+X4obPqOaQj4U3mc+gh1aPuX7Hj55GvI99coWPtnxPT7pblI+hpNGPra3Lz6EZRw+5MgTPva4JT6/zDs+JBU/PnOOIj5dCgg+5n1UPi7Faz6MfSs+AlUbPnGNFD6Ylxw+eCIfPh5bHT7qERk+VuMTPpv5Mz5Ly2M+FrpIPi1XRT5sfjo+lzoyPsLmQT7udGE+Hb5FPu+ARz6IEU4+6LxMPiRKQz7z41Q+bnJlPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/I7eIPQxwhj3tD4E9tR1oPVLoRj2ofjc9zxtEPf6MWD2EAlA9JlRQPd5qZj1z5mc9vUtmPfaEaT2CaXk9x/xjPd1COD0xmzI9RCsxPcekSz1ROow9WDGSPfzegz3HwIU9+aSAPZYzbj3pSHM9FkdyPbdYXj2NM1A9vEpVPU1qWD3jYVc9vulpPWMFdz0n7Xo9uk6EPVXEjz0bzYg9bdeGPWtvoT2bPrQ9DkmxPTVgqz1cFa49tAawPSjioz1vrKc9bUWoPdPKnj1LfY89oDWmPU7dsz0fErg9YKG2PRJLpz3DWKI9VDmSPV+eij3/GpA9EJSOPQbJhT3B+Yo9YsCRPf57jT1Q/ZA9lyCVPTrtlD3mw7U9L4zWPb3D2D3yybA9zfenPeSjpj043aE9KG+aPaLKkz0qXo09+QOOPYnxjz0VkIU9yUh6PfAsgD0/r349856APYO0eT1pHnw9QzN7PWUTiT2rTJE9PoaMPQbEjT0/dIM9mD+NPeEdoD0oU6s9iG6fPQBZmj3Sw3o9rrtvPRh+cz1K53E9hA18PXo+gT09pYI9tO+NPU2HeT2mK2o9tTdnPUxdZT3s+HM9SiyRPQRJjj0jjG09GVBfPbnNXz3Xbmk9bkVzPerQeT1HK4A9sutyPWzTbz0nv3E9ZUd6PVQmbD1GJ1k9pXlyPRKtaj3WS3c9VzN+PaDFeD2YAWs9sW1dPVkKWj1+W1U9AZNrPeBqez3GCIE9Ns54PcqKej0a63o9c+xlPcUJYz3IS3g9YEmKPVLkjz3slZI9GWGRPWhIkT07Goo9VpaDPf0Afj1U2W49OeZpPS1TYz0rCWA9tOBlPfM/ZT1QrmA9N9dePc05Yz2zv2o9rC9vPRtlhT0OxoQ9ozJ5PdgIZj2NRXw9OquSPXmOmj0Rn5E90j2FPaWUcD0af3Q90PNzPX7waz21NWw933uDPQRwjz1KCpM9wiiPPfXqkT07aY89tciLPVA3jT0p8I89ZsSEPYQCgj1saII93n6DPQrMgz1dIIo9+xmZPd3ikT02tos9/EaKPUDeiD3TvZA9AUaRPTL2hj284oo9x8CUPa6yjj3FFY89NGuLPeDFjD3L1pM9qzubPa2kmD1twok9x8qAPaKiiT3dd4097YKMPSgRmT1rgZM9jQGKPW3shz32f4c9gNF+PQ9Uhz37U5k9/WOWPURAmz1b3aE9vYSuPd9Xpj2MAp89Y1uePU4Mnz215aA9WgemPaHbtD0cg6g9lAKrPSYlrT3xs6w9Q5CfPTvirD2TwLY9qYW1PdKMqz01y6g9RyizPedrtj1EOac9QkGXPUD7jz3qwY09fmOQPf46mz3ZnaU9bdWsPeNJqz21JqM9geWnPfwGqj1U16o91wCsPXQuqz3BKqs9vSWoPbabpT1LmaU9rlmwPWMzuz2b4bQ95PCyPWmSqj2Fd6Q9daijPREjqD1enrU9iwa5PaYYvT1GXro9EtTDPQacuj3WzsE92O7FPaedzT0eOb89AcnHPZtYwD2fdsA9gRi+PRC+rD2dCJ09SwmbPcr3rD3aLaQ9gDOkPdA3pD1IiJg9LyaVPYbXqj1r5cA9C9C7PRI2rz3F16U9IyKgPd2cmD1vg5g9FiiVPXBrlD29wZ893BukPTfAnj0G6ps96PqLPUCChz0Lv4U96PaEPUFbgj2rJIA9h8x6PcJlcj0cT3I9uLGNPW1FpT3V9ZM9HjeLPe0qiz3nvoc9yk6GPT8bhj3xtIk9jYCLPYmoiz0myJI9+bCdPd65qj0ZBqI9QAKaPUpXkT0Pv4k9DV+MPS1HmT2drZA9YdaNPZ0+kD2+VI499/GQPbShhj1a+I89hOCTPdA9lT2PIZQ9IW6NPQ93hj2DQo09HDqZPUuMmj15yZ09A3eGPZLrcT3ic3M9E65xPa/nfT399o09kEGWPZORmj3/2aU92OiUPcn3jD0lD4A9jr5oPfRFZT1WEng9hImEPX91gj2F/n09rXiIPWUEgD3vTIc9LJaSPdEckz11pXk9oSVTPcYZSj2g4lM9g016PddIgz3f/Ug93oxMPVcKZT1d/mw91/VrPRbtaT1h2GY9zadvPXJpWz0Oflg9nMZcPftCXT31tl09iWhkPVqQbj2SeVQ977Q+PSDhPT0rCzE9G7soPcl+LT1x2CA9JicrPcUdND0DsD89YIUxPaq7QD1SJUo9oyRJPWFtSD2+hUg9bT5WPaXOZj2cjmo9pkRvPd4zYT2mzF894Z5qPVkWcD3AN4o9kNSTPUXBjj1yEJE9QcaJPWlJsz2DgAA+lkXlPZnd1z3X3Mc9A0GDPYoJRj0TzzU9lgwtPX9rLT0D2zM9koNNPfTCXz2RPm89UNhqPU/FST0540I9KDEyPWx1KD2BgRk951p1PRV7LD5lbDE+9NE5PpNvKT6kOh4+hwIgPsAWGD5N/hg+3rwWPq7IDD7xGAk+0HwRPkHSET69FxU+SqEXPnJDFT73rBc+ysgNPo61DD68SAs+QqoKPrVVEj7oMyM+mhU8Pma7Sj6hMTs+3HE+Ps/CTj7hTEc+9btNPv4Zij6tVGg+ldlJPhMKOj5cWTM+EPRTPsmKSz7zL0k+/apRPqmGZj7cBG4+nR5gPkvJbz7d7Hw+Ry5sPp5VTj51LVo+7ihMPiE/MD4Lmys+nAI2Pq3USD6wYjk+/Tw6PvadMz5sby4+0soyPqqmND7w/UA+VE5hPuSoXT5jlFs+O4RKPmr3VD6ENEU+qpkePheTIz7Wxyg+oc8ePtFCGz5E+yE+MaEoPpjjJT7qCjo+AMpMPnQVfT5rTk0+loghPibCQD76vk4+PYVCPmLCNz75FCU+Bh8rPuXNKz6BFi8+41MqPnhUHz6Cmh4+FR8oPvMIRT6yn1s+ALVfPt81Pj6OEDA+1QY2Pg1gNj7d5Co+EJkmPqPBKj7JHjU+JzgyPpmCMz5/m0A+8JZEPuMmRz4MlTg+C785PoziOz5RTzM+B+YvPptdJz7Q+jY+NJY3PuKrMD5DQjg+PPM6PvIJQT7rYjo+ZqlCPr/VSD6HejI+voMuPlF7KT4OlSM+Jx81Pk/MWD4dh14+qgpNPoF8PD6WeSs+tfM9PhdWQz7QKCg+CUQqPsxALD76IjM+wnowPvKwPT4mBC4+oJs9PqEZQT5Dq0k++3s3PjtWJj7a6jE+kzk9Pk7IPz5rxTs+VYAfPvM+Jj5k9TY+JvsuPsC7Kj7z+SY+gCw9PiU3ZD5a/qU+hMy2PuHgqD6gr3Q++aVIPmPHbz6r0Vg+JhdUPhiuUD7G8z0+6IqLPn+FqD4Wo2s+eB5LPvg1Qj5wdEQ+if4+PmRlOz4iCio+JrcjPtmGOj6RukI+fAsRPic5CD4A8RM+DqsQPip6Dz4hVxg+SsEfPhByLT7CHSg+I8sdProyHz7X1Bs+6pogPkR0Gz7anYs+k+3KPslGqD7NpWU+18AWPjrZJj61NDU+TiFNPjp/TD5LkEU+EEExPiQmIT6pGiE+mbE5PrXPRT6TekE+L6ofPox7YT52G40+l2tQPl8/Jj6ybh8+Do8TPm1DFz5DGS4+q34ZPis+IT57UjY+o9aNPhShtD4QKnA+gSRGPs4dQD6nwko+4gpOPnChUT5gQFM+n7lFPnnHQT4ONDw+uLI6PmfOPj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0i9pz11+549aXeIPWEEYD35lTw9CTk1PQYhSz3b+Vo90XRdPfJhVD27ImU9Tx1wPUrbeD0ddnM9UsFnPX/Xbj3lqT09ajNIPRFyTj2/vl09G0ZmPel+Xz0pgVo90YxaPS2STT3plUs9JppoPXCrhD1F63g9etxpPQmvbT1441w9b6pOPRh4ZT3E4Y89VI6HPZZ/cj0v5W09gWt5PX31iz3PVJk9x2nDPRRmyT3DlcE9IubOPaOFzj2/8LU9S4WvPWn3qj1qJJw9E9SmPTpOuD1+AKs9kKuoPVljqD3M1Zg90zONPSqefT3yjY09jyibPTE+kz2D/oU9UHSGPZeNqz2J1KM9Y4aZPdOCpz1H/7Y9MzTDPUu9vD0mOL09lTSuPStVmz1RRoY9wnSDPQznkz28cow90oyDPZulgz2TgYY9viSLPRk6gD1I7nI9llt7PXzFgT277YE99DFzPa2+gj2ua4g9i812PaVIdT2qm3k9YnKbPT03pz0vzp49fwGiPXkmjj3rO4c9SYZ3PTELhD0RBIo9+q+JPdoFhD057YI9WviGPezujD0Szok9SFKFPRnafT1p/Xk9zsN7PcT/gT1PsX89KF5+PYPobj0hxHo9NeqCPbUMhj0jPYc9emaEPTgzbz3JUWs9nIR1PSO2fT1UNGM9DZlcPdr8gj0DZIU9YG2HPY2OYz1IL109V9NhPTw1cz2IB349yvl5PfYVfT3oo4E9Dx9xPfV3XD3qFnY9+Nt7PZ+Bez0f8nQ92QmHPZ9Ahj1nFoA9plN/PXRKgz1UhYo9gTt2PTkNaz3ZHHQ9WWVvPfSfZD0OrGY9aZtjPS7Fcz22Hms9aFRlPS2xXj0nRVo9PlpoPaaBYz1qGlU9Tv1dPVUObT3bH3Y9t6FvPcWlgz05+449kdmNPUzShD235XQ9w1txPczRdD3TUHw9zA2BPYWeiz3Yt409iW2NPblGej1I+G09zepzPRkoiT1IRpE9bKeMPToDhj1yTI89Lb6MPWUHij2NYYg9KyeFPaXeiz2llIo9mHOLPXPSlz3MbaA95FiXPWIpjj2hfIo9Nx+MPQvqhz3XlI49uriOPcE0hz1NjIA9++aBPQ9rhz1CY4c9ly9/Pfp5iD1jzIo94S+MPYnQhz3KPJ09/vuYPfsKjj33Aok9t0eKPXaPkD0W5ps9e3ubPbRamj2q4pw9FIegPcy7oj18Y589kneWPY1XlT04vp09hhKiPb2JoT2g4aM9T2a2PYkDsj1YF6M9JyqbPfkQoD1z86s99xWqPT2XoD1dB5g9pumcPVVPnz1yWp89r8qkPfFGnD2QoJk9CsaXPTKDlz2yt6I9TwumPQB8rT1WS6U9E+GcPVi7nD2o3KM99AGuPd5Sqj18NKE9m4WiPaNkpD3R46s9Xgq0PfsarD0piqA9mRmqPX+Eqj2Jg6Q9vzWuPWFWsD2nEqg92gKsPZMPsD2lXLQ9r3SzPbysrj1ijbo9q5TOPQnOzD0qkbw9dMe4PSshuj2sKLY95/qjPSDeoD010pw9eqSNPZJ7jD2gDaM9VIKcPSKRmj1GNJk92AKUPYfVmz35Z8A91x24PWlclj2DYo89fBGIPfK3kD1Tw4s9XMyGPQxSkT2GeJg9Zm+iPXsaoD0oDY49LyeNPU8GkT2QlIw9RRSBPaUGgj2e5IA9tKl4PbJvgz1HHYI9Gq6IPQsAmj2h6JI9La6CPR+RgD3E4oU9WHSKPU82jD0+cJE9RJKVPV6upz2+naI90nyZPemPmj3jIJU9lk2TPZduhT1Ty4E9+eR+PVcggz0c3oU9ngKKPcb5gD2Vz3o9UvmJPXezlz2ff409xXWKPThVhz3/g449gFuXPQEwoD23wqE9TXmTPf62jD0u6Is9nSGNPXachz320IA9JUmDPefZij0KfY09qD2TPRM0mz3RupY9En6TPcpRhz2fonw9UpNoPWUUbD2q53Q9kBd/PZ92fD0g13c9Ex51PRNfdj1WhII9H3eLPQH/fT2VMWg9hdFTPdfvVT3k+FY9tzFUPR76QT1jFzo96cY4PXawSz0zhWs9sYtNPTtART3W5Ug93Y9TPWlbUz0JC1Q9f7pjPelQbj22Sm89puBrPfdagD1VR2c9uSBBPThBOD0yEzg9EW00PUWlMj24UkE9EvA8PZz3MT0GYUQ9OAFHPYhZPD3bsDA9ELhEPYhfaD1H5G49NGlvPQ2sbT1BxGM94j+CPaMdlj2+U4s919mGPfaDeT3/UYM9pn6FPSl/hj0ueWw9UaBqPUGGaz1fqGE9t85SPbdYTj38Q0k9J9FHPR0eQj2J3D49WkkzPRvVKT1IRS49XBEzPSNxQT2U+EQ9iiNEPbcaMT3hkTI9Y2QxPeeqKD3boxU9bR0JPSE2BD3rVCw9OT+HPTSpET7q2VI+MikmPgV7CD52ig4+hu0NPkPLED58AAk+UEwLPiLSET4iWxY+i70VPlZwEj4PQB0+STYjPj3tGD4Zghs+ogggPrkKJT6G3io+2z4bPqMMID5NGDg+YOsyPumZSD4B+VE+EtlAPvYlUT53sZI+s6GUPgj9iD78xG8+psIxPvi8Qj7y7TU+Bqs7PnLQPj6Ctkg+DLpJPoCcPz6LbUI+R/9IPgwSTj6O9Es+E9JWPrbwPj5URzg+73VHPn/+Xz5j61g+3XBFPuSSRz7muS0+UCglPo4ENj5UUjc+ztJTPpHyRz5ORGA+mgmFPgxTdj6PfjU+LWU6PgjCJT4euR0+huozPl/gPj6/5UE+xA5UPmjmVj4NjTw+uhJEPvC9Sz6Aojs+urYqPu0rMD7WUjk+uTk0Pvu2ND5tqys++Oo1PnDFMz4jQC8+9M0rPiP3Jz66hiM+4m8ePsMEKD6iojo+BSwwPp9jKT4+DiU+V3QoPvZONz4rylk+unRMPl2jQj5bWkI+YkU/Pky/KD61QCc+Q807Pm58QT7Y8zo+YhdAPiB/OD51Xks+AvdLPvR4RT5oHEo+kTpJPi0VQj5Vh0A+dxs8PrIjPD766js+OtJCPm28ST5JPkU+FJdFPsMyVD47qVA+dOM8PuOxMz51DDo+in5CPn1WSj4WD0M+8Bk2PsroTT6CA0o+krNKPsqUST79Jkk+26xIPpgOQT6CnEA+cPU5PhTELT6juik+pc0iPulcID57IQE+qYIKPl8ZHz5AWSQ+ilwzPuCFNj5Q6h8+aIgmPtg7Jz6umCU+xuspPnJHOj6NWFI+EPGJPi61jj5BZX0+g85MPpSsQT5cZEo+IE5FPk3YOD78Hjg+UOo3PtRKTD7ArnY+0OqPPthDZD6ytzg+dfQ7PmVGNj4bsT0+JvEsPkUAKj6CGiA+4D0cPn6xMT6qJjI+eZIoPtmxJz5j8yc+IUgiPn9bJD4xiCE+J5YlPqZkIz6okBk+3/EaPil3LT7griI+qJhVPgqvfD7U3XM+UDVJPvpbKT437VA+WLh0PkW6hD7Ek4Y+8Ox9PjixOT7ctC8+ElErPjKkMj48A0I+CBpBPqSTNz73Q0I+u1GYPhejjT595jk+YXc8Pl8SHT59fjU+j/pBPtsELT6QhUg+irVpPqF8yj5S/7Q+JJZZPpqfVD5zKEE+GH47PpErMj7UJ0I+iWFcPhZcPT4Q3Eo+sbdXPoSMPj6xbjs+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyNoPT34Jz89Gpk2Pes6LT2yDD89zylOPR/cRD01IUo9QYVTPY8zVz3iolY9MuZoPWrSXz0h3kM9cas6PR2+Lj2OukA9nBJTPeIPYT2ST2E9UlRYPbGgRT3EL1Y9lGxiPZkPVz0gNXY9nUGHPcI3iT2s/3g9e1ZnPSZmUD2MvUY9BgFUPZY0cj3BrIY9zzOEPS9AeT0GUWg9DVJuPb5iaD0MEVs9RkxyPa83nT3qyLI9D1SyPYRqtT2EbK89I5ObPfKdlz1Fgao9gEa0PacJtz1wIa89uOCiPUqEpT1l86I9HCeePUpumT1Sj5Q944eePQJCrz1EY6E9oWacPeMOoz0enaw9CZWdPXD0mD0q06A9dVOkPWGJqT0j/qs9mTOmPWw7lz3aDI89uCeRPRDElj15EJo9l3GNPefGfT3V+Ig9LSuOPad6jT0JjoY9SNWUPbRUlD3fbYg97WiFPUipfz0Yr4w9ciyMPSGEiD0RD4k9PkOCPRCIfz08P4k90weDPVKqhz0de4k9PZGTPYAflj17CJo9l9qOPSjtiD1Kapg93XyaPbHpmz0jUaA9n+2OPaiLfT0tPns9UlJ4PcGRdz2Lt3g9TkGFPXkXiT3RynI9nol3PWqifD1xs4E9PNx2PXVzhT2ZlI49tZaCPTKpgj3eXX09nL1pPag2cD2ENXc9kqdoPQysZT2eJmw9dGOCPb2lgj3pI5Q9dAWVPT3ukD3fLYc9vKWAPX7ddj1Q0WM9IOJtPc33cT1Rc3U9+0B6PY5WjD2Gl4k9BbaNPRKakT1OcpE9ArGHPdRpdD1+0WQ9ReFcPamrbT3d5Wo9Y75iPU1ddj3uZXE95gtlPcPaVT2FaF09O0lkPTuMaD0h3l89HfxvPW16ej2sCX89ULp1PSG+cz1Wn3Y93aJ6PaUxeD2ebYM9iBCDPZXkdT25kHk9V42BPexIiD3IgYg9t0aEPSXMdz0VTYM9RMKHPewdhz26/Yc9HB2JPSlKij0GgYc9I3GTPcIgmz2qn54982+aPYCpmD0CXpk9q+KTPY6blT2bMJY9sNSLPVhyhz0+VYg94mqFPewgjj23t5E9ZdGHPQWmhj0lOJU9ByaOPSRUgz3gnHs9iX+GPUvwjj3BHJg9n4eQPQeriT3IiYk9dKGQPd6nkT2+P5c9N+iXPZeJkj1dCpI9+LaTPQ8Xmz0d05g9mjiaPaR+lT2Iy5M9x3iZPYbZkz0FaJg97JmbPTCHoT2VBKQ9z0asPWC8tD3ZFKg9t82ePYk2oD3vWaI9EGOiPcykmj1sNqU9I1SlPRCJnz0SKp89vtOjPXWqqz0Fxak9SPOkPT6PsD3OXrM959OoPXvanD03lZY9euucPdgYqD07Ma89rOa0PQj6sD2w6KQ9b+mmPbmcpj0T2qU9yZumPS1iqz2X3qY9+wi0Pd2Muz3GQbY9nN6tPcfXqz04EaY9pJelPePLrD2xg6Q9QX2kPd2qpj1VT649xkeoPTzfrj11Waw9RHGnPdJXoz2r56M9nDqiPae3kj1Qy5w9CT6cPWQtmD13hZU9rAyUPRShpT3gbqA9yhGkPQC4oz1lKJk9ZbecPc9cjj3bGIQ9A52CPYRRgD0rzYE9V2F/PSfDgj3Cy5g9LpuiPfuVpj2G0ZU9B4aIPbKugz1On4o9lq+RPQLvjT23WYQ9Nh2HPWBpjT2K7Ys9pwyNPeKmjj3iAI89nYOHPeomkT2QTJg9udybPW7gpD2MQps9p6KPPbEolT3oD5A9bHyKPfYpkz3dlJc9rnmRPbMtgj0qBYo9XneQPaXhhz2osIk9KQuUPagnjz2+a5I92wyXPZrvlT2R2ZM9piWHPctZjT2VBZA9/uWPPb/qlD2UkJA9DruGPYiDiz1uzoU90KeBPYgFgT3Bu389cBSNPYDIoT2AoJc9AuKTPX41pT0N06M9xweIPVnvgj0oqIE9Nnl+PWS6cD0UtH89N9SCPQrYeD3nzYM98keHPWsUhT0h4ZE9pbSKPe2lcz0eolQ9xuVFPcyeSD0j7Uk9zC9BPYG9Sj2G1VM9O0dYPVwjUj2O21U9HCBRPdnGWD3Z5GM9fyhiPVdaYj0Xt3E9K2dsPZNHbj3E9oA9/OJ0PQeibj2SJ1k95N1RPe9nTT0L0U89TWZPPdxuTT2EHEE9/GE8PaYwOz0AWT095Y1CPRp3Qj3D6js95n0/PYoYYD1GTWo9Vld6PS8wez0OG3E9Rqp0Pc6/iD3RiIc9v4CAPQg9ej2mhmU9bwRvPe3jbD3Rw2I9X4tYPRxsVz21Dls9K/ZYPc+lVT3d4mQ9G8pZPcN+UD2Xz0w9b04/PUIxQj0PUE89Wm9GPRU1RT0frUQ9NapFPQ/4OD1AJSk9ce0gPeEkBj2azvc8lhncPFFl7jz4hrw87Aa/PG1yxjxpC9o8z1MQPYb9TT1XN1Y9rWN1PWgBsj1+aOw9bCkXPoNBHz5WFSI+oi0YPl/CEz7lUBQ+8wMcPiy+ID5qpx8+VTQfPq/NJz7FGS4+FqMkPjZIFz7apgo+WCclPgMCPT7lg0Q+Uhc8PtNSQT4fUlE+xiOGPi2jkj4JvYk+kodgPodVND7oKCo+CeIiPiJmHj5G2CE+C+MkPuxCJj5DdTQ+RZRIPngcOj64pyY+liE6PndXWT6BZic++RkUPnl3Kz5lIzc+y5U6PrnyOz7isD4+jBlGPpFnVj7mlV4+IAVDPsXHPD63mTo+tgEtPpWaMj71GDE+kUQoPjBSOz7uOS4+aoE3PtdwYj4Dn2s+m5tXPoq7Oz6Cei8+Wx82Plr0Rz6uGUg+ilxLPuG1SD4Bnj4+6e46PpCIQD6T4z0+KIQ2PqrqMD5W0iU+zw8oPkW3MT53mjI+9bknPq5OGD4GWAw+/IAbPj0OKz4FGTA+rZ0jPgoGJD7OITI+Ly8kPpRWKz7hhz0+l6I7PkRmKT5y9D4+nFRJPtGXQT6e1DE+XJAxPmcNOz4i9jo+BwVNPorhTD61T0E+iw5APvgzPT537zk+ZJs2PrZsIj5NgB8+aHooPpR7Rz4acEk+BIZOPtpIQD7jMTk+LhI3PvPmNT7rCTE+glQdPvheUz5Jr0w+bQRJPmg1SD6oVWY+d7VXPl5iST6sgUY+jq9FPvqaSD55yl4+BMc+PqsTHD7o9Rg+SS0bPrxMIT5K3xU+BCoYPvlhID7/7DI+/pYzPufmOD6DpUE+YaQ5Pj9SPD53XzE+XcUvPin/JT7O5TY+c+pIPjS7OT5fAEg++yxFPtktRD56GzA+56xAPh5pKz5cgCI+RhgxPsBALz73mSo+gvcsPhbJQT5qeS8+1aUzPjbIMz5JUR0+tuQTPuQjIj4Wexs+FDUQPigJFD46vx8+zDwePlq9JD6SRzM+++gwPmtBIj5QXRk+MfgtPhy2Pj79KCQ+fUMMPvayLj7jjTk+HekfPtUZHj5ixzA+Tt0mPkEIKD7NvHk+VhqfPiR5cT6UYz4+Xdk5Pjb7fD4+WJA+x/hCPqNgPz4XmEg+lfE3PtWfLz4K4ic+9PJIPm7NQj6wQjA+6LIwPo6JMD6F/yE+sosnPpjlPT6w7zs+A3YqPh4RJT4E5z0+9JVFPiKgZD4k8lY+QmY/PnIxPD6majc+j4xAPtnvWz4whFU+uuJJPsYxRz4QOjM+W6UvPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/RjhM9TcsWPXneIz1LpSo9fnZEPR+DYD3lb1c9JwpGPQPART1HtF49wBWBPZURaD1AZDs9VPUtPej5OD3YMUI9m9o2PRl8MT2C3Ts9LxxUPZsnXT3D+VE9RwBPPY2CZD3VI2w9pU+EPXqRiz07JIs96Q+EPWLIXT3QRlI90fJZPUUTYj3mnXw9l66CPRF7ej0mmmg9XRxxPeJPdz3vDIQ95axcPa+waD1ck5M9vIygPTMepT3gsaA946SSPSDFqT1z+8E9wPS7PbTdtT3zSak9aaatPTVDrj34JaI9RZ6ePRNdoz0Upqs9qtWsPSDLrj2BKao96R2oPTSlrT1UmKk9NGuaPQL2kj2ueZI9ZgyLPaLwjz2kt5Q970uqPRjxkj2yJYI9quWIPSMuiz1J4Io98MCDPboEcz0wGHM9MxRuPdcFYj3aeIA9EUV9PZXPgD3No4k9CMiNPbq0kj10rJI95uWIPXkphT3UmIM9zVlxPVL4ej2Di349RyuDPe6Qkj3hwpk9J5eQPbwUkj3b+5A9ggeLPY6tlD2Rf5E90KOGPYKeiT3CdIk9BzOKPcrIkT2y6ZQ92MaaPZHZlj2Ot409B8aJPed1iT3hCYc94c+GPUSVfz0ZJHg9bnR8PcKagz3DKYs9fLWCPdC0gD2VNIY9hzZ9PfOnZz0FgGs9qDN5PUYmgT09SXI9h4ByPfTCiT3j7Zk99FWEPSwceD3SSnw9/rd2PRJDaD2sIGI9vdZwPZD3gD3Iyn49N3KBPfgghT0JB3099kt2PTXJgj1+lIg9XmeFPaIodz0UNmg9Hy15PQ4cgD2dX209T1BoPTDAYT2bM2Y9osd+PSqLeD2mWmQ9JhFiPZHwaj3lt4E9RsCEPXlKhD2AxoE9Gi1yPabBZD0wM3E9/cx3PW5Mfz23X4I9TOx9PSWVgj2QU3s99WyAPdTBgz0XiIQ9dS+CPclSfz0p9289PeuBPcVchz3aOIQ9eTuCPSQXhz18Z4Y9gbWWPe9Toj3+9pY9Q0SSPTvPiT1OT4E9TKiIPZ67jj2g45I9GzaSPRzdjz0d8Yk9X3GDPV/3hT3DmYQ9kSiEPTZ3iz2B94k9gi6OPVGAhj0DqoU92ZaHPWfjhD19wo09u6iRPXFyjz2r9JE98tWUPeGtnD17P5c9kSONPbTdiT1NnZQ9lfOYPdfNnz3mhqU9DayYPZq9kT0KK409gtWMPaTQij3T0Z49soOcPTsXmz0tiqE9DIuhPXZhpD0hCqg9UYKjPQZ6oD3TApo9u+2ZPXJmoD0k5qI9zCWaPVqXnj1iSJ093M6sPZ16rj2Xk6o9e8OkPXYVpj1Hu6w9OsKuPX/rrD3ms6Q9Ub2bPWcqpD0+zLM9ZlulPRbfoT1E75o9KPilPQHjpz3Q8J498LCcPXfUnj36b6o9uLOzPYVrrz04mKw9mRu2PaatsT17fqY9X0WkPdqtqj2uFbk9/bi/PcFmuj2Lhq49E6GwPacVqz2FBqY97V6ePcK9mj1WapY9eBuYPVYNmT3ftpQ9z76TPVLnlD02RJg92liiPd7Foz1MMaY9u1mePZR9pD04aaU99jyQPSkwdj3/rVo9JDNiPZIvaj1nKnA98xt8PdCggD2WgYQ9EAaHPWlFhj1BzoE9bdRyPaWxcT2Ukng9Q2OEPUSGiz12HZE9SJqVPSAFjT0vVIw9+AuNPT10jz35VI89HJ2RPZMLkD2IKJs9C9mfPbCwoT0ld5Y9RaiEPY/Ihj1XT4k9ZaaKPdVmhz0LmoA9AMWHPWT0iD2Oz4s9iA6RPQ1clz1Pm6I9c+OfPYcPpj3hC6Q95mWUPVLxkj2FMoo9oC+APe+5fj2HjIE9Wr6JPe2clT0eLZ49LIeXPQScjj1/OJU9+ZuUPc+akD22wIo9AraMPULekz3sc589apGYPRwwnD1qk589eaiaPRBrkD3iwIw94sKDPcildz3zknI9plWAPW+wiz38Sog9OB2SPdRkjT1pi4g9gfyHPXSGgz0BOms9LOhfPb1iTT1jbUc9o4pFPT9YUT360Vo9r+xmPe96dD3OLXY9DcqBPRA9gD3WC3Y9bmZsPXAJbT30r209lSNoPXWWaD2YAF09YPlcPbZcXD32oVk9kXNTPS/xWD2FFG09EM1zPXwZbD1SbGU9cQxbPVHAQj0NFjs9haE+PUo/Pj31hjg9LyY2Pbm9Rz1SWVc9toxqPYfFfT0QvWg9YoJePYe/Vz2ZO2U965NePTbuUT1CH0s9229RPXJTYj2N02w9iQF2PejodD1bOWU9HgFfPfJsXD3IYWU9E41pPZ/KVT1WZFM9nhJVPRbrUT1qS0s9i9ROPaGuRz1tiFY9tqJWPasbTD02MTA9eAgOPZzj4DwrmNw8jW/lPOouCj2QfyI9/LfTPAwvsDwv4ao8Kc2kPGpcqjyh6d88KznyPFNOEz3s/Bk9RD+3PTFFNz4ERzI+pagpPmzpJD7VGRw+yyQbPv8dDj7QYh0+2WMlPjqEKz4EvTA+Ai0yPsPsLD7BAyo+R4sjPiiVQD7LYU4+WW5NPui4Yj4/2IM+ONaRPlCqnD6yR5U+jPt1PkHVPT4EFCs+Ht0lPtotJj7Tbyc+T5MtPo0PLT72CC0+AAg9PrftUz5LITY+z7MePhK+Lz43M1U+f4U4PvrFFT6R3CM+04EzPv1kPz5a0Eg+hOFLPqoSPz7QVDs+dVpCPibsNz7vYik+ZgcsPvsNJD60qR0+0WMfPvavJT52LjY+5RZRPm7rTj4dpS4+pZQoPtT6Hz75mBs+0HojPqIzKz60yCE+T4kjPn2/Pj5KvG4+KBVTPj05Nz6TREU+WxBBPhEIPT5kazI+NrgqPsh9Lz40eS4+gtksPhydKT609yU+Q4wsPj3kNz5fLzY+EC89PtyRPz4uoT8+CPw3Pt7pIz7Zrh0+CtQ/PpbkQT69aCw+3JwpPlnkNT4b1EA+H6UvPrA4Lz7WQDw+cBpGPujART6A/TQ+zhg1PpkUOz5YWks+cLdDPu3JTT4fYCs+t2csPhPnLj7dyjQ+ndA1PgtKQT4FcTs+8Qo3PuKONT7EQzg+DQU6Pm1/IT5JvSs+a+c3PqVYOz4330E+jWlcPmrnYD4kpIY+cP1WPn3NND6/yEE+EDVvPrFeVT4+Klo+OXQ1PqT7NT6S9Tk+eRlOPjXJPj6R6Cs+ejBFPii1Tz4zTks+U9U/PsHoQT5CMzs+QHs8PuK6Nj4TAzg+OzJGPliwSD6to0A+5k87Pp/YNz54VEA+I1k2PvylLj5hUR4+lRgiPiuZKz75Ti4+D7ExPq4IKj5ReCU+OtQTPjd6ID7+oSY+CwknPmbFMD7NFys+FYc1Po7cNj5iASs+pNQrPg4wcj6mvH4+YKFZPuMzSD7iwz4+J14oPu2DJT7HhiM+fa4TPibVCj7NPCw+wB04PpVeVz4FaVQ+xpErPp5XOj6GhTg+4X86PgSgRD46qSg+IVYbPqRYKj7FfDQ+pSc9PgjKUT5ORDY+vW84PsVQNj42mDI+LL48PgFvMD5opxs+IgoUPnp2Hz78nyM+wO8lPlIqKj7B41A+kTlCPmhXHj7hOhQ+hbY4PlYdUj6D3mk+Ex1VPjsxSj7ciU4+OhJKPsZkQj7V+SU+Z24xPg/3Uz4eGFs+vIZBPuTARz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/HYFBPX6kPz1MDTw9pds8Pf+gRD1L7j09uktPPdnfZT3K5GM9dNFxPe3rcD1KCFg99ZVIPX71Tj2CUFA9gHI7PYp9HD1MfiU9cYNKPeuHaz3pmWI9wCFFPfsDZT2nFno9S4N+PSCWZT35xVw90URlPTKxcj2Ghlw9AEFfPb6QcT1QfXs9gDSCPcSWgj3sMFw9PlJlPVJ6hj2UF4Y9bFaDPcJmZT2SIoI9EueCPQg+kz3Zm6s9qq+tPW3boz1sgqs9unavPR6orD1YD609x8+vPbdOyj0UrrM9QuWiPS3QnD2NXac9MQOrPSiopj0iP589KimXPQq6lz0EcqE9EvijPRI4oz3FV6I9kAyiPb/hmT1+mpk9LpaZPQFBjD1Kn4c9XLiPPXbllj36p5U98SqUPXJKkD0EJHo9yiV3Pb+fYz2KBFc9j7JbPSuqeT0ovYI9NWSRPSD9pT3i8qI9iFSdPcCLhT28aH89RBF5PbwIgz2lb5E9ifGHPRb7iD3/EIw93fKIPf7LhD33soE9DYWIPbXThj1PcoQ9isaAPRwrfz3YgI49c6uXPTs4mD1f1po9j/WSPZCxhT0KRnw9TFmBPVn3iD0v/pM9ncmNPY3Mhz2o6nQ9nq1uPaJzcD35ooA9it2FPWdUiD0xFYM9oMeCPRFBgT0iJII9w6GJPea0gT2aG4E9lstiPZ0eYz1ivmY9gvVrPRurZj0ojVM9E4FaPT9EXD0buF49HoloPTPGjj0Cep09InKWPczemD2czJc9b/V9PVdwXj10A2k93nN1PYG6gD3bOIs9ULGEPY+1aT23l2A9YtphPe4nYj1YPmo9rxlpPWm/bz0XLmk9vQRsPZLDXz2hHmQ9WLxiPXSggD3FRX494eNtPbMaXj25DlU9ZeFrPa5BfT2soXs9+ed2PQB0ez1J74g9W42GPUxggz2hMoQ9O0KCPQm2gz08zIk9L7mHPRhigT04aoU9FmCKPVxWij2LHI09qKqMPTKEiT3l3I49Y8eKPZuFhj2ZWYU9CMeKPYuagz13K4w9jH+PPZJPjT1VjY09aqONPSjvkT1AUpI9z3KQPVnljT1Jj409IBWKPUqvjj21YoY9FiOGPZZAiD1tEpA9hu2QPQwRlz3qI5M9JS+TPff4mD08Qpk9B+yQPYlKiD14kJE9o7STPXgjjz1YvJI9J5yPPeWQiD0hp409GrmUPVp8lz3YO5k9z8uiPaPypD3g4Ko9NBWePb4nlj0jm5U90yeWPWUnnD1r4J49iOmiPQcIqD2tKak9HN+oPb3GqT02Q6Y9crunPfoBsz2DzrI9JTuvPbsOsz2tzLM9UWCuPfSysj3UbrE9EXelPe/Smj2wQpw9i6amPVkKqz3UvK09HpiqPRekmz0Gu5M9KhKdPZ4GqD2cMqM9uVigPXaLnj0RF6M9z0mrPZX+pj146rA9INO1Pe3DtT17PbE94aO8PfzLuT3cW7Y9SSWxPd3lrT3iFK09m26dPfBRlD1cMJo95KqXPY8jkT0Wt48959GYPU1Poj0wB6g9h9yqPbnUsj3ICrU9ZB2jPfJ6lD0bgpQ9LrCJPXrzeD04EWk9QuhkPZKEgD2Jo4I9t+qEPSp4ij2VS4E9CrxvPbXObD3NE3A9YQx1PUuadT0aNXs95QuDPb1+kT37g6A9X+CgPVhDoT2FAZc9WXCQPRFcjD2O2409psCOPQdclz1W1JA9DJSDPaq9hj2kt4g98q6HPWe9iT3GVIw9IlKNPYD7jz3xgok9IiCEPerHkj2tup09raSbPU45lz3rcqI916arPSFHnT3BEo49o0GLPUZ9ij0x5Yo9La2HPVlLgj04BH097geEPU1hiz2Pb5Q9tEOZPfMKmz0jsZg9YWeXPd9noj247aM9f6uiPZz8kT2t94g99hWKPR8yjz2pNpA9moqOPSNilD26VY89+dmLPe4Viz0Igo09RaGOPQutij1LT4o90QGGPVQghT2z/o49fmeRPQV2gj3AzHk9rRBvPTIrYD3w6Fo9/JpYPR8oTj0NFVI9cZxkPUxIaj02L4E94gGDPcLPiT2ZT3s91/JwPVw8XD1Kuls9qz9cPcHBVz2SdVQ9QrdWPd8CYj1XCGE9rxBOPZMvTj3Y3GE9yCJtPbhPaT2Kkkw9SppAPUrCPz2NMDc9iFIxPRy/PD2XGkE9U7JIPQTZSz0THU49x3w8PYYiOT3njkg9ex1SPYfvUj1JAlo9l+diPbo3bT1M/GI9RohiPa4jXD3si2k9op9tPcnYaD3lpls9DmhLPdRlSz0GfVI9y09mPSZXaD24fVQ9V7pNPfOKST0ae0A9tD47PXfoPj34ByM9RYAPPekfCj3PifA8Sh/GPIYnwzxIN8I87c+4PJKosDxs26w8KxG4PO3owDz0YaM8Tt6kPJpBojxj+KA8uc+mPLTy4DyoAho9VGgUPdW5Lj3Ajr89zmVDPurWMz45BCE++SQYPor2Az4guts9rCcFPusrJj61RC0+YMgxPu31Mj6O00U+N2pbPpYZVj6FyjE+oilbPjGVZz5T5XI+jIelPkTbnT6RTIA+dshkPhBtOz5Pnjg+Aik5PlliKD4P9iQ+2H0mPtFPJT7AAyg+Mx8mPr4OLj7/FEY+Y9AzPjMJJz5DnSY+Hbk2Pi+zND7zwCI+eXAkPic8Mz60aj4+fDc2Pg5PTj42fj4+7vksPgEpKz51TiY+OnImPnxPKj5anCY+HVUqPh0oKj4IYys+Oz8uPp1aQj5oxE4+JGQvPsibIz4ksSU+O4kmPkL5Mz6D9SY+ORMyPqycTD6DGFI+HNhTPny3XD56iTg+AEcnPg6AOj6fZUI+5nhUPqJWQz68+UM+5lQyPmojUT4nZlo+hzlbPs0TaD6B62M+BDFJPnsyQj4BWEE+KBA9PqbwOj78+i4+wFgnPqD7MD4lBTI+o58yPvzjOD5I2jw+O9plPr+EQT7GvjM+3HkkPi6EJj6nwCY+AuItPop4QD6o2E8+WWxUPtmAPj5o6zY+XmYjPvULKj5qzi0+e1QuPu7SLz6h3ko+d21IPjF4Nj4oGDU+XHo1Pr2SOz5+Sz0+3zpNPrKoIz47Cio+PyE6PnvDSz5Zqn0+Jl2lPgNJYz6zW0s+fzw8PkJMKD66tjY+GpdXPnIaTj4IoT8+g8ZSPgLfgT6ohXA+jxaKPpBGbD58pIs+f4R3Ppf+RT74vzw+9ts3PvQyQz4lJkE+T0RBPlViUD6B9EI+fI8qPv52Lj4+0j0+kbo7PtXPKz6Feh8+ioclPuyoJj7kaS0+kUE0PgjvMD75MyI+wMYnPtlEHD4Trxg+xlMlPozYKT4jg0A+w/MyPnvTND5Jji8+SfksPjfVMT5UTkc+glRUPlNiRz7Sj0U+SEI8PlnfOz5ZSiM+cMssPgIoKz4xVBo+JhMMPnvIBD4923c+oLp3Ps96Iz5dkCo+Q5sqPt2HIj4oVy4+/AsrPgPgMD6YnSY+KfIfPqP3Hz6NzhI+mecZPhSGMj5tikI+aB1APnzrNT6wmBQ+rYISPhR9ED677xA+8ZMSPmlfLT5frEI+midLPrGkRT6oLEA+n6w7PjIDSz4882E+/KxRPsAATT6h2U0+XupIPvkURz7AS0o+fyo/PjA1SD7QREk+7Kk0PvEOKD5t2Cc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+rVRj24q0M9NN83PdvbLT2iEh49uC8mPfgjPj25fFg9nA9ePaQWVz3fgUM9PG5KPebiSz1O3VE9zjBAPeTWOj03ZCM9TiAnPYZkSj2T/0s9Ojw7PQD1NT0rn0Q96HJMPXbqQj0SAUU9MFxiPWq+dT1pOmk9jJBJPX+xWD3rfnE9ZH+BPV2vgz2fw289YJlePTiQgD1wOJY9hOuEPUiKdD2954U9yZ1wPcHSSz03FkY9TJOFPSZBmT2OK6w96ujHPcGtvD12FJo9DZyNPTy6jz1g06U9x3SsPTN5qT0/QKQ9hxGtPaYtpD1oJ5k97ECPPWZwlj0F06I9oSqzPQlQrj2NIq896AWzPflOqz0ts5Q9MGqUPcCzoT17zaM9/dWkPRJZmj1Cmp09keKWPfbHkD2GdY49RP+DPWkgej2QnGw9qzxwPT2+fj3isX89/zqEPb4/hT10s4M9oXyCPWCbgT1794A9ZUuEPfwGjD0loZM91mSOPYI0cj2FPHA9V6KAPadHkj27G4I92xVlPcoAWz26jGM96zF6PTJakT37/Zk9nbeZPagalz3RupY9yjqUPb8diz2VAI89d1mRPWWgjz33AI09qhSKPeJ8jD2EPog9uZmCPdy/eT0MAXs9I2CFPUbLjz2XPYs9yj2DPWA/fD0FLXQ9LWqGPQiklj0pBY89KleOPZEBkT11vYg9v/13PTyRYD1/kFg97jFfPcHjbD3Ty3A9+jB5PelZgz0tgn89r+d0PQzNaD1djWw9o1N9PXbvgD0y3Ws9aRFtPZcthT3axZA9CdGNPevBcj0un1g9iOlUPbM0Zj3kQG09PLtwPeA4Yj1ZdGg9uvB+Pabzgj2sPIU9uLGFPUT0ej0OP3E97A9mPdzVbT2bzmg9u/JxPVhMfz0t8nk9uIJ6PdIgeD0oRnw9G9aDPWZmhD2JOoQ95qGCPaY6dT2dK3w9VQuCPeCdgD0YM389n+WCPeszhj0IB4s97K2OPS+NiD2U54A9P4iFPc2uhD1fQIo9lh+UPQTcjj0Vtoc90XSOPeUgjz3iiIs9UhWKPSLOij35v5Q92TWQPf2cij3ezIw9aDyOPXbUiz18i4c9uN6FPeamiT15FJE9b32TPf78nj2pu6M9St6UPYgriz2d/389Ujh/PZU3lT0YFaI9DbOlPXTMoT0q0pc9UDSWPTDslD3rNpE9gOGZPfFqoT09J5s96fGZPXJOnT2cnKk9mMynPaqAnD27gpM9fW+VPfgvnT3Eh509otufPXr5qD0eEbQ9VE6yPTzYqj0aiJs92jWXPXXimj1h7aA9BwGlPaQTpj1mbqo9IcapPUtIpz3h5Zs9kvCYPfNxnj1/kbE9Ee6wPTFQpj3Y+qs9zdyqPXLPpz0u+5w9hbyXPf3KmT1Pz6A9AdSZPc88mj3dC6k90Oq0Pbf9uj3UAbg9/p2rPd9EtD3q37k9Mme1PbAuuj3LVLw9MYW1PRELsT04Lag9C3+ZPam+kD1dxZg9KpGkPemjoj0V15k9F8qdPRCfoz3D3KU9/LqpPfqKtD2yj7s9RkWtPRVeoz37OI09612FPbDyez1F1HM99/h9PVjeeT18JoA9il+EPf2lgT3blHc9DrtgPZ1xZD35IIE9t0WMPWofjz2rKos9M06KPe03ij2Mn5A9odyYPSB4nD0Op6M9d9ihPYb8kz0yAI09CvGMPQIajT2+vYw9vaOHPSDziD00K4s9HoSLPdXZjz1jCJY98wKePe1Biz0cio49RtONPTnaiz0UvY09TOGXPcpylz13M5Q94zGYPao9lz22BZI99sONPaFHjz1BzZE9hvCTPUz6kz12M4s9/KSFPaEOkT08dZ09wPWiPRZaoD3oX549oS6bPW9Vnz3Eeao96ymtPeHNrT0BfJg9KdyLPcPnkT1eHpQ9TaaXPdOWmj3AJpI9lIyIPbOxhz01FIs94SOIPSkRiD3ckIc9a+yGPRn8hD3DjYc964+CPds2gD2AYnU9PexoPVKJXD0+gU893M9PPQQSWT2C41k9Be5gPfCfbj1gYWw95beAPUNPhT06xIE9OIJcPdd4VD3SaFM9IIJMPQ59Qz3K0UQ94vBOPaOuVj3LJ1s9EH9bPUQnZz1Jomo9CnZvPW7Hbj2tZn895Wl3PVIyVT3z/lM9VttNPUsbQz1Pz0Q9rQFVPbN4Tj3m9kQ9nFArPWmWJT2fFDI966xBPSevXD0hW149al1iPTtUbT2geHI9gf1pPaiDVD0hjlA9TDJHPaltTT0rB2E9/ylTPe36Tz2GPGg9NfhzPf5hdz0By2Q9uvNRPSnjRj2/NDo9HZkuPSq9Fz0tXwE9IULePM9HuzwJqbg8z7uxPPEmtDwLlL88oQ/GPFuXtDwg16Q84cOmPBC/qDwdAaI8MbuuPHLMwTxiV7o8HcWwPDnmsDyOgL88TzYSPYBvKT2WVCo9uKRcPTSSGz5o1Gk+NFFEPjYoNz4TgSU+zt0mPshHJT6o9C0+wpswPou9KT7f/yo+J2AoPjZBGj62jS8+qDRJPiUmZD7jmm8+6CxyPq1Vij66DGg+jk4zPrcOLz4aiDM+pnUxPvxcOz6bnjU+HEUlPiS2Jj7aqS8+ty8pPoedNT4TajE+5O03Pp6iLT622Sw+UewwPo3EOT4LSUI+ncczPgAGOz6Cpj0+2tQ4PtZIOj5Z/GQ+TGVrPvj5Rz4kiDI+C5suPhBeHj7IHiU+DZknPttgUT4NzEw+x1VCPivCJz5pKTk+MjovPp/ZMD5Csy8+KL8uPrpkgD7wKKI+YaF/PrbMVD4rEls+unJdPuVeVT6jqVs+nk9GPpR1LD6h6C0+cb4vPtVZMz7f5Ck+nbg3PvfTQz5DMlg+8J5jPqyIbD6WQXc+1yZlPlmcQz43hTU+KRE4PknLOj5NHTo+sZY0PkEVKj6n1CQ+W3ItPsz5Lz5I/zs+jNlUPhfkUz7tSSc+0PkfPm5SJD4ADC4+DQ8tPve9Nz5VP0E+lEFbPhZcTD41ACY+RUImPsOBLj7AeTU+jXRBPvTrQD7Ndz0+faE5PkkSMz5NfTI+uvsyPsNhPz42nGo+9oVfPsXmPz4Wph8++kocPhtYJj5qVjI++6NEPnslcD4AEU4+NT4kPquvKT4sIjY+gV43PkNDUz4qQ3U+19FFPin8Oj7y30A+qddaPoFPiT5Q2k8+AD5BPi7UQD6Ybj0+GTw4PsodMD6WnUw+3hRIPsx+Pz7RijQ+g2gqPpuBLj6i0ys+QhsqPqFfJj788yM+mN8lPj0fLj4cBTY++JkrPi8ALD4CJyc+BnUhPq1sNj7XoS4+BJAiPnbsIT7/3Bs+He4ePhqIKj4f1TA+cuM9PrUqPT6l9TI+GzInPj+NLT5NNzg+sJI/Pt+wOT666kU+jYA2PrjZLD4B4ys+pzQsPuUaLj7D/zY+s747PokCPD49dzI+ZdsvPgINMT5QiTE+WHI4Pgf0MD6rRDY+jiEnPuULGj7jBiM+jMwiPhlYHz722i8+9wEuPo+7LT7tAyc+3cEnPkz3Fz4+Dxg+8q4jPhs/KD5kakc+tH5UPq9SPj6wOTk+mFFIPraxQT6i4z8+iu5cPmupaD4iymQ+RhdXPvh1OD6qXDI+sgwuPuahMD7Uoio+Lq4hPndRLT4QJjE+//w6PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH862TY9of8zPZ5ULj0m9yg9oQcwPRK0Vz3i01A9e1daPXgpWD2l6lM9T51JPQzhYD1NBmU9nNFRPatiNz3ski49fRMjPejpJT18rTM9ChwnPVyJJT0bdiA9mL0jPdBxLD10UzY9WGJTPfywWz2vCUg92ns8Pf6aJT0zxlQ903VkPZHCgj1paJ09HMaiPTC/pD246JU9Wl6RPWfLhT0vMHo9MhJ6Pc5Qjz04sX89fA1XPZSJZz2fU5495dmsPXYU2z3ki6s9X8uKPX79kz2NaJI9IViRPYBokj3/AJo9qi+fPZOSqj1inLE9CIiyPef0tj2JhLk9atiuPXqvnD1M6qA9J4SiPU7MoD1f+J49Y4agPXeKpT0eWqk9Ox+pPed8pz1FVp09RYGYPcwejT01BYM9CauDPUF9iT1x33o9hDBpPZlwcT1hjoQ9Z76KPbDAiD1bQHY9d813Pc++iD2HM4w9HJl/PUVGcz3pMm89Nmt3PcMhdz09w4M9cryKPUhZkD07K5M9utSBPbtFfD2wdoQ92zeRPUaOlT3LTpU9sr+QPV+Mjj3634k9heGOPWshjT0MapQ9CjmgPX6zjz21rIo9Syp/PQGVfD2cC4Q9RQ+DPfZViT2ONY09MGGJPQz/iD3J9Ig9ZFN1PVVyWz1rtYY9V1WfPbbppz2ekKI9qfGdPQnSnz2fuIY9HPt0PWWPdj1D8Gk9WudxPSaieD0utnc9WGl2PQDobz1I7Wo9w3phPTQCUz3d20g9sc9IPdbNUT3T5F49HrJ3PUjtdD3laWs9ftdbPQwZUT0gsT49YSVNPfHKZz25O349motxPY/YZz1GKFw9xtJnPSMUez3nEGo90wZnPbkMaD0xJ1o9iB1kPcvEez3EGog9lo6DPaOTej3Ru3Y9CA92Pb2AeD3fnIA93xx8PbXIeD2r7IE9rYOHPQDJfD1jQ4I9dRKEPQmJgD2u4Hc9rZt2PeV+gj0E8Yo9+ZiHPRdmhT1TzYw9mr2JPfznhj39J4A9F3qDPUwEhz0AIo49saSKPUJlkT310Y89FH2KPSmsiD2IloY9I46DPYfHhT2H14c9+neJPb06ij0CpIc9OoOAPaCDdz1jDoQ9QduOPZ7bmj3+e549YumgPZ1TkD0jM4k9LYaWPTvfpT2z07E9hdyzPRQYtD0Qy7I97uuePSNKmT0LDps9M52ZPXjdlz3nLpg9zN+VPXhxlT18kZg9EA6ePYvqlj0nuZg9wLefPcsCrT2tTac9J2irPfa3pz0txKE9kEyePXOcnj2azZk90zuNPZ4mjD3bgI09LDmWPXMuqT0ks6o9SJWsPQI/rD2V3q09rYSpPXBesj3aN7I9X/i4PRJyrT3NpJ49m46XPbaypD1+IKY9vqakPUJ8oj06Sak9X3ykPYiFqz2XL7Q9sHe+PZbXuT2FQLw9yEq8PVkHsD0kDKY9f6miPcufoj3+8K09VBKtPdMhoT3iWZ09IM2ZPeNElj3wc5o9WjWePSVbpj2UO6c9QMupPexjsD19sq89k+CpPemWpz0dRKo92TKrPZ2yoj2eT4o9UKR/PaEwfz1Xn389LbOBPSnijj00iJU9krSgPcEvpD3nYp09+iuPPXaDgz0pv3k9eR6APRXxhj37/4k9ExGGPacRhj3PNY09EtaSPdhZmz3eMqA9Yv2YPa+Wkj3HmoY9TP94PYC7gD0ujIo9wI2SPYgekj0CwpU9n96bPW3HnD3y3JQ97cCRPSl1iD0Ll4E9xcKRPZbCoD1815w9tvWUPQCBmj27cJQ9/w6IPWMFhj3Q+Ic9GUCJPTaNjz0JR549hXadPXTopj2UaKc9eOWdPViblj0QE5w94tKgPXknqj0+Bps90wiWPUEVmD3w5ZI941KZPWDTjj3hk4k9WKqJPfVchT0mO4Y9wReKPY96kj2wcpg9+9iYPYyPmD1fkaE9x6SdPW2Ljj0X24w95BqOPXwNlD1NMZE9K5+EPbZYez1l/nk9tZx2PcJZYj0QVFk9CiNXPQ+7ZD33s249PpxvPfnObz2BhXI9urR6PexIfD006Yg9FKCHPT6TcD1FYVw9wQVePVYzWD06h1E9y9lRPR65UT1sFFU9aLdlPTLXXj2xTn49pyCCPVvVhD3hU4k9GcGgPeunmj3jyFk90ZRLPcIVQj0LXDM9fEs1PbMtOz2nCj49568vPf5QLD3PiiY9a/wxPZ7GPj1JXk89SJlgPV6+aT0dH3Y9hPhwPUHDXT1ECGQ9pZ9cPcbDVD0h6FQ98GljPULnYj17/GQ9vVJwPVz/dz1TU3A9GmtYPTAoRj3KXT09s9QwPWDHHj291+M8jJO/PN1luDwGcq08md2tPOvVrzy7rLA8caSzPOXMuDxKNag8YE2fPOkmqDwbzao8lqq7PNMEvjyRgMQ8EB/PPMoJyTyGZbc8NfOxPCzGtzz0b+o8YIgXPeYoKz1zC6Y94DZTPnBWVD6DyjE+zmAvPuIjMj56oCw+JvUvPnzWST7QzTU+nggqPojxJD6QGxI+q0IzPo4yRT63Wjw+RqdVPv3eXz7Y0kw+uwMmPrEIKz4Q2zA+MiMqPsUaKz7sNi4+shoiPkVFJD6T7yI+w9YnPmQdLD4vYx8+8iAoPmjBQj44MT4+NcMePjxYGD656yI+ZpsvPpWXST6BbUc+z9Q1PkAkMT6bD1M+XhdjPpdKWz4ndys+9BAhPixCID4e6SU+nxxEPm/gJj7B6S0+PNc2Pjc/Mz4j5yc+/pYrPtO8Lz7dfUc+XJJOPiu5TT44Mok+EQysPpF2ej5MzSc+cy8yPunASz7yTlU+xPJLPqYzQj46Zzo+8wQ0PnldNj4F8jI+RncpPlzWLD57CkY++ihbPrJLeD59qog+MHycPlPhYj5bozg+TxI8PmhhTj52KE4+nNVIPrRePD4fQic+bTMiPrHhRD6yoEQ+SmA4PglhJD5hgi4+3CQgPv+tKD6N1is+Xr01PrO2Oj61wzY+ag0zPg6mQD6fADw+CME0PjhPND5OzzQ+pVc9Pm69TD4CXUE+5E4oPq0EIj4pJyY+CIIzPqjQMj7LGT4+5t9MPjOmJT5pBR4+7bccPqMIBD7reBw+SWQ8PullRz4UUU4+aiuAPpgpOj7dH0M+BAZGPu3xRj7RYEI+9VZlPgQkMj5+Uxo+r4AqPmQUPD4Jrkc+Lfg9Pk/VQT6RvVQ+Iks3Pv9IKz5YsEE+KzJOPuS9OD5VVzk+q8MtPgQGKT5ktSM+EyEsPrKsJz7Gbhs++9EdPlDYKD5u6iM+RbcrPuoUJj6WUiQ+qGkpPhswJT4TMyw+tH8zPtcjKD5pOSU+kc0qPkvnLD6ZbDo+CjQuPvHOMT7MeDA+NmwrPqwzKD4eSCs+JUU5PvRBNz7EvTE+AzUuPsZvMz4z4Tk+afAuPuG4Mz7BfzQ+OGJDPndCMT5tohY+ecYZPoqxKT5NeCc+PuoePoqVHj7ami0+lqc7Prn7PT7Jhyk+0NUaPh/HKz4AsSw+2dMdPm1lHj6lIUc+r2FSPk0yQj69OCc+yAcyPs0qRj7xmTQ+FXYtPrZERT6s1kI+QwVBPiebOz6LVEI+Rg5FPrk7UT4VjFw+UgdDPpSzNT5Ez3I+GPF6Pn4dRD4+7DY+AKEuPpduMD7qcz4+nr5APuQNST4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/96gvPRn4Mz3Fy0E9k+E9PetHOD0VfUs9Ad1ZPcRQaz1392g9KNFYPfoiVj1ypnE9a0pdPWw+Qj3Ilzk9DGJEPahORz3G/lI9tHhQPclRNz0MEBw9QakXPZaBFj04QSU9Ptw3Pbv9SD3Q/1Y9KuM8PYu0Mj3b3hQ9wYk5PRLUaT38kpU9hpWmPVBQqD2Nb7A9sfWfPTDXjj3584U9AM6HPfs1mT0mYbA92eelPbZhlD2hXJA9MT2WPXQ+jT0FF449xQGDPZhGdT0WuYE90yWGPZSxhT0K5JE9I8WNPSwfkT00yLQ9YgnTPV0ztz2V/7s9zdKoPTSVoj3iAqA9EbSLPQ8Blj2Ihps9kAWlPd+Ynz1Atp49KdiVPf+wiz2PHYs9EdyFPVDDhz1/VKA9L5+OPds+dT0SWHk92IKFPZhlhz3t7oQ9Sr+CPfYScj0uBXg9lrWIPflCij1A4YI99Tp7Par3ej2k/HU9jOB3PX4rhz3h75k9K3CePftimz3CLZM9eB93PS5OdT26eYs9b5WHPVB8gz3KPIY9ndKUPbDHpD3LO5Q9jLyFPcujhj1STYs96mCKPcZ5dj1wuW09HcKSPZQljD18p4Q9jzGBPXC1mj0cXq49m1maPR76hT2YeIU9I5iDPcchhj0+YZI9OcWFPSsDgD1uzIQ9TQKEPYH0fj0WbIk9IsaAPW7Shz0vXpE9sliGPS5cbD0Lx1w9VuV9PSuydT0ZAWM9fbNbPe2xXz1cumg9DJlmPfxqcj3Q8Xo9R+VtPbcrYz2zAko99J8/PdhRTz0A2VQ9AL9XPZK1UD0hQVg9vFdbPavoZj3s2mk9mqJePeq6dj3D03A9R1BbPcV/bD29J3Y9v717PftCfj3W/4E9NSGLPdeOgz2vCXk9iQZzPSb1cD0RBGM9L4V0PUsVcz26vm89ak16PQqwcT2tPWc9GWp8PS0TgT2tNnU9fBdyPZLDdT0lOYQ9arSFPSbVgz32hIg904SNPZNxkT31kIk9XFmFPSlWgz3RdIQ9M3+EPScRhz1wiY49eFeLPWb4hz1vM449UD2QPdhnmD3SU5c9LpSQPerhgz0jt3k9H5CAPQgXlj1k25Q9zQeLPTksmz3CVrA981uwPbcYpz3jH5o9jgaXPX7noT0I0K09Ek6vPaCorT2m+J89+VCdPZV6oT1WKKQ9kwikPbL6oT2CDaE9sKqcPZnrlD0S+YE9l3qCPd+ajT3RGJ89Gp2sPT/nsD3yca0957GpPUXIoT1xhKM9BIKVPXHokT1W55Q9yjqTPaMZlj0j4qY9nKCrPUq5pj1f1aA9K9yhPYKUqj1Giq09PZqtPS/AtT28Zag9vm6qPfnTpD2K6Js98LuZPbjmoj23nbE9VK3FPfhRtz3bO6k93Z+sPde5oD2N3589jgSkPVZEqD0Dd709gM2/PYXfsD3mb6Q9rfCmPYAFqT3Od7A9ZAizPVfqtT2PcKY9joOUPbhPlT1vqqc9WxemPRTMpj3xXLE9FGq3PaHCtT2fkbM9qh2tPdZopz1D8Kc9OHaoPdXFpT11vYw9zk5iPX2nbD27N4Q9/x2LPUidjj1Jf5k9hiTCPTWwxD1SsqM9YquTPd9Rkz15q5I9C02GPUnffz2H2IA9mOyIPdXbiz1dJ5U9E2ScPZC+mj0+0pE98EOGPct4dz1L0nM9Z152PeB0eT3LL4U9+XCNPZ8BkT23HZ09vNubPXzHij2wS489lJmMPbnniT2Lno89TCmcPS40nT1m0JI9sM6RPUSYkz10rZg9/muYPYSaqD2+0ag9nkiaPSQYlz0G8pU9UmKTPTE1lD2T3449aISVPYznmD3lsag9eCeePeFfiz3z2no9zKiAPaNcgz2ODoc96Z2NPX1Oij2a93g9EEN4PRLeej1jN4I97AaGPQtBhj2J0Yg9e2WVPVstmD1Dk5Q9uxqLPYn3iz1AX489/TaSPVwVkj3P4Ys9CzqEPSTJfD1Bqnk9e4J7PSo8ZT1kK049SLdNPUAZYD3gcIE97XWGPYurjT1MhI49qZuVPRILjD3ZR2o9G3hcPWTOWD0vzFI9VxFCPQMsRz1pMVc91ThfPYYgVD2Snls94zVwPfQOaD2LG1093uRqPc3VeD0nlXI9uq1zPdkjgj1A12o9Fe86PbqDLj0oiSo936QmPft+Lz2OLzs9o+kyPRVUNz1dZjE9VggpPY+YNT30VT89xuZWPZ33aT28CXs9sSV8PfXDaT3vZm89wYiEPadFdz1OpnA9TwdiPZUZVz1GxVU900BrPQSRaz1sF2U9DONKPTlVPj31/Rs9OZ8TPUJFBj2CA988eCW8PEAIvDy3R8Q8bJ6xPOz5rjyHWLI8S6m3PPGvsjzyALc84DavPEnFtDyz7rU8iP2sPLQFqTwzj8k87KfXPOEr4TzPiOE8gSrKPOEuujx958g8XdsiPYfHLj0Glw09inI1PdEYHj7c4FA+vCk2PiQjOT79XDY+1g0tPn1VOD7A0EY+AD4oPv5BNj6Jdz8+moMePoHoKj6NnT8+aAgvPlARLD6Ioiw+xRYyPnAuOz6HOyw+KXIpPpgzKD44kyg+FvMfPpRLJj7LDiw+oncrPvcCLT61vi8+hDsuPt3JNj787zo+ftolPsc4Ej4w7BM+LCwoPtDUNj7XaUI+PMQ5Pg2RRz6Hb1M+WQ9dPt7zUz7mRD4+6ugRPukaFT4KfSg+e985Pt5pKj5HtRk+TIAlPrwfMj67QiQ+fDAiPmTrHD6DriE+gU41PnbZLz6z8h8+8S4gPkHILz4RHjc+7l4vPvRYKD4dyh0+yMYePp+5Jz5DKCg+sIMyPp7PMz4+Yi0+7vksPpixKj5ZxCk+5V5HPtbKgT6rKIQ+kf59PsrpVD681zg+0XIwPvssNT7lAys+GyMzPlZuTT4Q+T0+RcEnPq7TJj48by0+bVIqPjuyJj7W3iM+ObEsPhyOLD5THyw+qdsrPiZxKT68pC4+IHI4PtSUST42UUU+9VZBPkFKNz65ly0+9ZQuPpN7RD4FczQ+/EQwPtKTFz7RkQI+atcsPmRgRD4JAi0+kZIuPqHIKz7glSw+LxM4Pr2wID6FMRs+W7I2PkB6QD5ZLk4+tGJRPk/Pej4KI1U+PURLPqGsQz6/ND4+ihRFPlclUz5FOEk+Beg6Ppd+Rz5z3EM+Cq9HPoZIYz7Vy2s+7XxkPmQtST49mzA+D0o0PgrhPz5HMjk+uNYtPp2uKT4tpyU+aNciPit8Kz7+4Bs+INkYPoBXJD7JCS4+QG0dPqzwKD69BEI++CNOPvKkQD4n9Sg+onodPkFbIz4tyCk+q7MsPrasOz624ys+i3ZdPnAnTD4wDDI+aTBAPhTZTD4XUlA+pB01PvDwej6Dyls+A2AwPoU9Jz7moDE+9DlCPtOxIj6DfiI+8FovPmZ0Mj7LDyM+oRYRPskuFD4rBxo+RXIUPpaSEj5JdB8+ag4mPnWJKT6M9y8+G9YlPs01Hj4zlho+96ocPpDbJT5sSyE+QX47PpwJQz7tFDg+GGgwPjFcOD5PK0k+vMo7PpDlND55CkA+PTpGPsUbOT6nEi8+s9hEPjzuSz46I1M++aRSPiFlSj7vU08+jlNAPn4hOz7BTzA+5VlFPhPeQD538jk+l0s5PuY+Nj6JiCk+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8MhNj2MvDg98hlGPT7XSj2i9FU9VV1SPbnNdT2/8oA9Ey5wPciGXD1X1VQ9kK1zPZiBXz1LtE89boJSPbaXWT0eUmA9YL5NPSaNPj0y20c9xY01PQAVKD3j1i49ShY1PTYQRz3ELUA9+clKPUCxZT37sWk9kXliPa8LTz3UeWI9bJCDPQ2vnD0abZ49NLOaPQiWij3OA5E9SFKPPb6qgT3+S4E9SqKFPcnmlT1F7o49ummEPZeOhT2BEnE9PvxrPejbYz1Ir3s91J6NPX5+kD2jTpQ9KkmUPaXPlT3YMZk9cYuzPemTvj3C+as9DpOrPda3pz11B6I9Ct+WPWZhlD0g3pg9zCmVPVmlkz218Zs9HiWVPciqjj2W5JQ95CaQPdU9iT2wRH490TtyPZ6ufT18vGQ9nthhPYqTZz3d6Gs9i4CIPWociT39H3w9vvJ3PTJJdD2JlXI9SVeHPbELjD2ZQo09GdWHPWTPiz3yHoo9Dz15PbTIdD0+O3s91Q98PR6ubD1au3Q9V21+PeH6kD0AnJw9QsqcPXtplj2v6JQ9Pe2TPU6BhT2weoM958mBPdH4hD2bFYU9jkeSPdWGqT1cg6I9LtKZPXpMmD3KhKc9bVmiPRfrgD2dbHM9BRBvPVvWeT0+nG89Om5oPa4ugj3lS489K+maPeXWjj1s+3g9GSd9PRevhD15qII9dqx/PedSZz1bHFU9iQ5sPTouej2TsYI9rkeCPYFHgT0OJoY9Qr+HPRyjfj3glmc9J9BePRwQSD0RgUw9xpJcPQJ/bD1ZYHI9HGp3PXRJcj13uWY9aChtPXQkej3pRnY9PN51PQ+pej0WB2s9IINcPSgQbD1w/ms9D/l0PTwgez2+nXU9cCpvPa8Mbz0613E9wEVpPUz0Zz1yfXM9SSVwPZ5Gcz0nCWI9wBhRPcwDTz1Cb1Q9qzBcPT6seT3EsII9TRSDPY2Hgz0+nIA9D+uDPSUMhT14Qow9jYWPPRFNjj3URIQ9kWSFPZnRhz2VQos9eDeMPQ1Piz2W64g92HSLPbnmhD150Yo9NgiSPdWXkj1RaJQ9unmcPU3klT07mJc9igiVPWfgiT2wcIo9bAuNPR6MiT12ro89LBqYPTMynD18pJs9oqWTPRMIkD3zY5M9MBygPd9jpj37XqY9mweePS8vpT1zJKE9Hd+bPXj/mj1RA5g9s8yVPSrmmD09RJ09SHetPXprrD36Dag9ZUukPZWxmT1puZY9NoKdPSJpnD0kBZw9U4igPQNFoj0UDKA9Vw6bPWIPnj2Ro6M9E92qPTbWpD0D9qE9doqgPdEDoD0Ty549GRifPY57oT2oGKw9asqmPbhAtj14h7U9q6q1PX6UtD3ZM7I9h3ymPS28mj0uXpw9VzmlPUk8pD0FjKY9vpy2Pce0uT3oEb89jRS3PVVGrj3dFLI9hi2xPep8tT0IarQ9ivG4PaVTyD2cE7s9JkuxPTueuz09YKw998ydPWPbmj11tKM9QYO/PZJ/wz3i2789PKizPW8JrD3kyJ09ahSWPV5Wij0pYYI9O2yCPeUCej1cJI49AReMPbu8iz0KO409xzaPPTKRnz3CjJY94hGPPdrqiD312oY93317PUFtgT00T4U9SM+LPVC/kz2ATZc95tWdPUndnz0ilJw9aTKNPRJ4kz0PuJs9fnmFPRTvZT2dhHU9uhiAPWduiT0zrY49NxWfPS63mD0TQJc9mcagPWgXoj1/xaA93T+ZPZ6Gjz3sxo49CLeOPXUnkT12EJM9OjyTPW3yhz0opog9B/iSPcbRiD2KE4Q9ZbSRPYtmmD2ByZE9342IPeXCjz04H5M9sf+cPQv6kj2xxoc9GY98PcXKdD2cD3s9EXt/PbkFjT0oR4s9cj1+PbdtdD30j2o9d7drPej3fT05vIc9UrSNPbUcjT0Jeos9v1WJPa3LgT3NPog9kheUPRwhmD00Z409vGaJPWvZdz3862U9gF9WPUKEVT3ga2s9DVt5PbqBjD2KNIc902GSPRJtmz3qf5Q90BmJPWsTXz0LG1s93o9WPUtMVD1gXkc9wYBHPeFVTT2Nb1E9Xr9PPWJ4Qj2q1z09yE5CPUXzUz0Fw0U9R30+PaICTD0HdVw9KhhZPfRGWT3sNGI98xhpPTtPaj24clI92eRMPRdSPz09mkE9/WQyPd0lJT22CjI9O9E+Pc4dOj2+ZDc9LZNKPVfhdT0Ls3A9Ob9fPUlKXz1+yHU9El1vPbVSgD1Qs3g9B4ddPcURTj0IXEU9xt48PXFvSz39LVE9VPtQPVAyQD2xYxU9JrPOPHAf1zyHIOQ8eLbXPK0cwjx1K8U80y67PNYcujyqz7c8j3KsPEIgpTxPX7Q8DI6yPDjvrTx+V7k8fn62PM+RqTxwWKU8JefAPNf81jzrp948rujZPCljzDynT8M82E27PLfNBT3RmyQ9X2YuPbXaZz3Y19U9Yq1vPmNhVT5fCzc+mxIvPh5XJD6WdCY+M4woPryGJT5YLSo+W7IrPoEqJT51YyY+tM8wPgBlLj6tBTA+jAkwPkzNLj7eCSI+PMU0PsLBOT5JdSA+x4IdPlKZIz64RzA+CzYuPpxcNz4tnzc+7Vo1PkLNND6DVjM+irssPjArGj6IXg0+upwePllSJT5eHSk+I0gyPqW0SD47VVY+GJg+Ph6DNz56sio+ESMlPjuuFT7S8SU+XUItPjBrKz7jQhs+rCcbPnHPJD774zQ+0RouPslrJj6NSuE9jgqoPemnFT6ZYDU+YQklPkAfIz7zQi0+7M5CPkXMNz6/sCw+JLQnPrV9Jz5ahSg+aJslPrA1Lj4LwDw+jnA4PqDgOT7nLEQ+bKVJPqG+aT6qLH4+Z75CPoGtPT4jkkY+6ghYPv19Pz5MxRc+RwAaPiswID5/wi8+MHE/PnmqOD7aFTk+HnU0PtFQKT6uzSg+JOIwPt4MLj40qTY+axMvPrxSNj5ZPDY+QBs7Pg0gPT7NIEw+qtBJPnZJSD7W3T8+WwwuPowdIz6z8i4+PZYtPvzxKz6s5hw+9pkNPgaPEz6XITE+56gePplWLD755Tk+GdlMPv2ZNj7jBzE+pDJNPgPGQz5TsDo+idZRPmstYT6aEEU+0soyPkriMD6vpUA+aV5CPhTcND6+UD0+DIg9PitZNj40eUg+IptfPtsEOD4ZzD0+IM5DPhapQz6oxT0+vdAxPj5YPD76aGA+fEg7PuuqKz60Liw+Xc0qPupTHD489Bw+6YkjPmQvHz69VRw+21EgPt5qNz52kEc+/TZIPp8GUz4c30I+dKQ6PiYRJT5HoCM+/mEgPhJPLD4SRzo+pbpEPrfeXD4JTUI+nAQ8PnmKNz7rvDA+l2owPn9PTj5YAXM+T8o+PrO4Mj6nrTU+bsFCPoNbNz5o+CU+5DYrPkKIHD4lXhM+zQoTPjf+Gj5abCM+F+cUPr6qHT7u0SY+hDE4PgL3Kz6zXxg+fbYVPmFCFT5kqBQ+ATkXPjZmIj60qhk+770YPgrBJz6KHyw+3X4qPoqqIT5RLSo+zWwzPnCTMj62hzM+lrBPPqFcVz6R5UQ+HpU5PmhiNT58FDU+0wcwPhsMLz4UgTw+Wig/PqQ3Sj6XUkc+F9ZcPujcWz702EU+lEZGPv6ROD7iKSg+FusmPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/4fUE9rwRFPcRQSj3iDUk9iDBaPa19YD3+zGw92ulPPXJZUj03B1Y9HKVTPY5PUz1x7lA9RGxXPTtVZj1nVmI96/FTPe/UUD2j/ko9lkZKPe/pOT2nwTI9QV03PbYLKT0iPyg9CbQ7PZwMUz1sjWM9i9tXPV1OZj3Px2M95pVkPV6daD0YmXU9UeV2PecmfT3GE3w9d5iCPWPEhD1FKYM96n2HPb5Whz3/MIw9VqyHPRSHhT33ZpE94mGLPQN3bz13Z2w9y1OGPQSrnj0kU6k92s2nPf0/nD2DvZk9DiuZPa0hnj2+rpg9z0ycPejkoT2YPp49x/KSPZ/3hD0mYn89IdSbPWpVrD3Fu6A9gU+OPWbWgz3nfo49EkaaPZQ8jj0mA4k91UqBPUAUbz1kn3U9kcNyPfaNcT3hhIA9rAGMPdi2fz2YBm09XGhpPeVUdD2lc289RiSFPcBQnz3ktI89vWyDPfWzfT33gHg9ilx3PaWseT1eA2A9lRdUPTwsYz2j1G09/u52PeI+gD3/2349Mb6APZMGgD1EmX09piaBPS5zej1gW4A9IgmNPXtNlD2PWZY9ftKXPYn8oD3ilp09gGSSPV3flD3QFJE9qaSOPVLfgT3cj4E9ssGDPYfYgD3noXw98+R4PWppcz0y1Gw9Cbp3PaPHez3fkXc9loB+PeK8az2nRm49vmRvPcOwez1xpno94MGDPbydmj0Jt5c9KEOLPXjlgz1AgIM9MuiKPTnmfj3j83U9eSFlPcAcYD21PGE9fAxgPR1nXz1y2WY9XJl5PSGtfj2/5Xw9ZkRtPavQcj2A9XA9X9FlPfh9aj2Xsm09u7ZbPbGzWD22rFc9f1JlPQaWaz2uzmo9J+l1PUyohj1csYM9l/mDPfmSez1J8nM96y1sPSewaz1RbWk9NslgPR5tYT3pkGs9Fe16PXFIfz3Q9H495YWFPQ24hT0wA4k9226PPaG3hT0AkoM9qEeLPSI7iD3jAog9M9WJPQzglj0XYZo94qaZPbiknD3zPpo9P5OZPQzjkT16ZYk9KTePPaR6jz22+4g92oOKPdYojD2kc449WFebPb5Gnz326pk9i82XPWy0lT0eYpw9j6KaPVnhmD0M7oo9t12KPaxOjD15DJM9tgygPY0Mnj2LGKI9eUSiPZKxoz0886Q96cKlPb41qz1KvKg9E9mkPY7gnT2vkZo9ueOaPd9LsT2+Vqw93+WpPfhVpT1LDZ49kc6aPeUeoj1sB6A9HJiePUFknD2gZ6g9RHOgPRj6mD3lw6M97vWpPXOLrD2qs6494J61PRwPqT1rvKc9bZCqPfwgsj2lyrE9XJilPahsoz03JqY9XMetPYAasj1Qiqo9PVShPUdGnz1+rqI9+hWmPTLioj0/2aU9QEWtPeWmuj0Uk7g9y4+3PSS1vT2s2K89Fo6sPVm4qz17N6s9u1yqPUN9vj1nP9E9n7POPVg8uT0jmKs9YASrPYqmsz2zm7U9Soi5PR+tvT1baak9sdagPS3opz1FUpo9kECJPQEPiz0C6Yo9PBKLPYzQiD12DIM9cfmIPXpYgT1zX4M9gs+GPevOkj38s549hfKYPbkOij21X4A9e9p3PSk5cz09eIY95EiPPU9ykj0NAo49SDKNPfvdiz3GJYY9nTGKPVtwjD1OBYw9k4mLPc6fgT3W5HA99mR9PVf2fz3v5YU97+yOPSwWlz1VlZw9NPeiPT8roz3VkI89fcuNPQe9jj1rcpE99LmbPdC5lz3aKI097pSGPaoNhT2jTok9QdWOPVuwjD1Cc4o9JxSNPZiolD177Z89fPSWPTSmjz1NkZw9726bPcn5mD0ViI09hKSFPcdchT0q2YI9/vd0PcqYcj0hB3E94HlwPTKlZz0ndWA9Qyt/Pewigj1L34o9oXiQPSQYkT0WWY49hSOMPVzjij3pOY49jRyfPUhLpT2h1pw9dC+GPY8RgT05PF890QtXPe0tRz2KmVM9wCVwPd4lez2nd409jFGMPRGDgz2K9IY9bLaIPf87gz17N2c9IqhfPUqjWz0rnVQ9iexsPReQcT3Fx209NRtUPVgZPz04wDY9kG5FPYJpUj0W1FA9vA9ZPQEiZz2JwmQ96p9ePRg4aD0ojnQ9BQlxPY9vbD16Bmc9HhNVPT5LVD3WJE49ncE+PVV8Jz32+iQ97Z8tPfttMz3o4Tg9xwZBPfM6ST3fylY9ZGVZPX+wTj2Lk0Y9p2I3Pbg+Lj0OJDU92cwoPdJmIz07Ex09eUYZPcSoDz2TiAY9pR8TPa/+FD2+XAE9rLzBPGYIsTwPw8g8snLDPNZ0tjzTDs48MhbEPLdbqjyxXa48XZu5PK6jtjwxybY8Pq23PL9mtjwMb6s8DxKrPOIfrjwf/a48XUOxPC3uzDzgcOY8AiTkPGnc4TzSgNI86pC+PKbSsTwLs7k8W70FPZd/aD1WT4s9oniRPUpuDz56yDM+KMMrPu3iIz6MbiI+W18oPjGOJz76iCU+31oqPnGXMj6ZnDU+wMoxPquPJz6GBzI+IeMyPvBdOT7HtTs+7T4oPhIUKD7YmjI+dOUsPrGvKj62YSo+nJsvPg7gKD7dwhw+zcMnPuunLz4JITA+xDw3PsqOOj7pRSA+7qYLPglkHj4YGSY+PNc7PmPgPj4IQ0I+5K1OPi2VNj5gaTA+m1U1Pr35MD43azE+dZcwPuEcJD5a9CE+tFMjPtrkKT7j2TQ+tF82Pmd/Lz6LFCg+d+vSPfvjmz2O/hA+KUAjPtZ/NT7R0zQ+OFYuPsrGLD7wJTM+yjYoPl+dID7mCR8+b1YkPhlSMD6PxzI+jkQ5PhVsOz6pECo+lVMzPgQXVj6LX4Y++phfPuqwMT40kkI+5bxWPlfnZD4RvDE+bD8iPqQyJz60pyU+6eEpPp3LQD7IP0o++pRFPlLaMj5gcxg+fMUhPvGFND5+GjU+gMUhPuY+ND5YaT4+jSJIPqCnXD5FPUo+rx5IPpYwWT4cfFU+k2ZPPvC1RT4GVz8+D7QqPtFJDj4RTw8+gJoZPioDIT7Hhy4+MYtNPulSJz4xKSc+x3UjPvc4Jj6qjTk+rxVNPuvjPD63kCo+NNssPsbJPD5j6k0+8aJJPr6FMT5r1is+5W40PjBgND5s4iM+xiYtPh+fKj6NkSw+DzpIPtSJZD6NzDI+KM0tPpZZQj7bfkg+I0dMPmMSLD4sGTg+DftHPhPdJj5jRyM+JaEgPgalHD6DIR8+aecmPvZgKz4baCo+CKopPuQBMT7LjDM+bGNcPoQeUT45ijo+cKw/PhdnRz4cbDc+fXIzPl6yKj6kYTE+l5Q5PgmLNT7MYzc+2eUfPuCoWj7QXkw+t645PvTaRj7jbRk+OUMePt9lIj4mBh0+nNgbPtYSIT45TCk+fHcbPoE7Gz7fjx0+cjwbPjAOGj7jiS0+DpE4PrkoKT6Nyyk++x4oPpfQOT47miM+DcAWPm3bHj58ixs+EbEaPqWSNT7fhCQ+IAwZPtf3FT4QDR8+A3MdPv0FID6qDSI+VVwhPuIGHz6Otyc+HFIyPpYCOD7ET0s+vS5aPipaQj5FHkM+cVYrPlLIKz4vgVw+iKWIPqSNgD4fwGk+LtJNPnI7ST4g/zg+OyUxPp0xKj4E/hE+t8kYPi8QGT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Ng5APe76Pj0B4UI9ZyBHPYXhTD0yeVA9W5BQPcVdTz3FolI9FotePYyDZj2VPYA9iW2BPRpegj2CvoI9h0l/PXl4cz27vGM9Bm1ZPcQXRD0VPUA9QpozPcN8ID33Ixk9lzQZPb9EKD0/+0A9RStCPdqrRT34JjY9Er43PdnpOz2w8UY9yQpgPTEqfD3EqYw9tL+RPeu+oj0ZzKA9P5SZPUF0jz217I49pbuRPf5nlz3Y+449V/mHPctfhD2SyYM9SHyGPTvQkj1Dy5Y9RnGbPfNeoT0RFJk9An2cPSlimz0ZT5A9numSPbUEmj3UVp09MuOdPVm0lz06KYs9NkmMPawQkT0nyI89g/+GPfOydz1FrX09vLSMPdvMlj1QOZI971iRPWemmD2gXIQ92ad4PVKWbD2N+HY9LWx8PdzSfT0fk3A92A9zPe6CfD0iK4c9j4uKPc5tlj3kRaI9fUCDPQWzbD0b33A9FQZ5PXN6dT3fDGY9C9lkPVOiaT2Xam09B8psPWjnaT1xb3k9Hid8PUZGhD00e4g9bNWJPfpHhj2WiYc9foiOPeLVkz1AoKA9Z82sPUdaqT0eb5U9TM+NPXQfjD2QLJA9UBKPPZzpjT37cJk9Pa6YPScZjD0Vp3Q9F/NlPUyRZT14i1k9ytBoPTn+fz3HlIs9wZiOPXfmhj0aaYg9Dcd4PedYeT0/6YA9FSN9PQYcgT3fCJM9chKaPVX1jD0x6YI9qpaDPcUUhz26OIU9kF58PcIWdT0VXoE9pIGDPdohfD2tmHo9Ou6BPd7vaj0MumE9q25kPf8+Zz3Om309waJrPfy8WD1LqE496/44PQJXNz3Go049zwJXPRGIVz3qVVo9BINwPfAocT3owHQ97yJtPfknZT2NiWU90MZmPX7YZj1mvWk90yt4PQkXgj1cM4Q9kmiBPXZbfz20f3M9Whl3PZ1GgT35g4k9hvCNPbG5jT3GSZA9dDKbPZqSkz2daYM9bu+HPWo5jD3IIZc9V06PPa7KkT1co5U9TfKSPRdLkj34kI89MlWGPZtohD0v1Ic9rgCEPZEMhT0p64o9/biSPa+1mD25q5w9V+acPe+omT1/W5g9JkSfPbVtjj2HEos9vH+BPdQzgT0uzIw9+6apPVamsj3Qb6c9O5mhPd1NpT1klag9dA6qPea8qj3Kuas9rdepPfZwoz2vZKQ9lemmPWMFpz1PYao9EWmgPT4moD2PD549RkigPXbynT3M8p09dEykPY3Woz1El6c9XECyPVECqj1JWqA9k9CgPbOApz0Qt6E9FLeePetbqj2XH6k9mZmoPfpSpz1vGKs98MSvPULSpT1oNq89kFqvPR6orz0bLrM9w+qqPeMgnD16fqI9wDipPbIMsD2OGrI9xP65PSCbrj2k17Q9sme+PQmHtz2Xm7I9lY+mPYd+oz08B609DmevPdjJrD24ErY91d67PY9/tz3virU9qfKuPcHOrD2p8bo9aIWzPQNUpz2PG6A9AVSYPSLglT2Gd5s94WOZPbcviT25eYU9VgiEPUa/fj2zMX09F0FtPYLkfz1qHo09nxCcPYR/oz0ELaU9NwuSPRnnjz0GeIU9if2CPWuDhD1fm4M9w1CEPdJSkz1G3ow9NAmKPRHikD3vsJI9GnOQPUKvjD0iuog9ujCFPcjldz20i3Q9uOyAPUbWgT3pYXs9XVKMPQt9jT3KpYw9J/iTPZNskT00fJM97rCKPTcVhD0vm4M9mh6EPUR2hT3j5oY9eJCSPegloz1lsaQ9I6CfPQYsmD1dYoY9rbaBPQGVhT2LkYY9keGIPeX+iD1Q/oc9dMSNPQvxlj3F8pQ9DoqVPYXFlz3xO5U9tWuHPYRlgj1g4II9hNaBPXk2eD0GbXk9nABzPcBYgj0WLYQ9Fv+MPbSPkD02qIM9WqCGPV0bjz3vz5M9xC+WPe9unj0wUaQ9wHWOPcUhZz0NBFg9SPZTPWowaz0fAHo9zgKCPZx8gz1qCIY9F8SGPXKxez2OWX49/aSCPRyvhj3xNH09PypwPR4eUz1+M0k94URTPdReWT3PT1Y9m+JTPVcYRD0HpTM9nhc9PQCuPz2eNEY9BrZPPVkKYT3Lx109Q31ZPdxoXj2uClA9DVRXPYnAaT2iUl49EfNzPSjHcz30zmE9EyhWPWSRPT2YKCo9LZkwPWxHIT0VFxo9tp0mPXVnOT09AkU9BPQ9PT9wMT2eEig9uYgnPaDrMT3g6j89k7EsPY5zED3F5wM9LD3rPBHx0Dx0Fcs8Z7LHPKXF0Dzpjco8WRHDPFXvvzxsjLw8rJPEPLuCuzw/DbU82rDCPBU3yDzUMrU8wHmzPFF+tDzcrsc8qYbTPCF41DzRscY8BVG4PMVDvzyrBMA8RRDAPL2HujzpyOA8kQv0PEN86Dz54+E8tHHdPO0jyDyaP8A832mtPDI3xzxPvyM9DA4/PWPIPT18VpM9FI0QPvi8Rj47gzI+cscpPjk5MD77RTg+uCEwPlRrLz5pdjs+3Qo/PlRfOz4HnzY+ArY2PjYzMD61MTE+si4yPtaXIT7q9Cc+TBMlPjc5KT7aqSo+z24pPtGJJT6STiM+CFQjPoTjJD7iNCU+0DcoPpo4LT6iPzA+YkwoPsm9Hz5YXiM+QRstPkkfRT4GXkc+Wkk1PtRjTj50a3Q+MD57PlSRZj5gwzE+QaMmPl6LID5U4R0+QwUoPvRzKj5QbzA+G4ExPuJSKD6vPBk+Hh/RPe5ouD2V6/M9qCwlPi6+Jj6SzD0+Fak9PkBeNz5JyCs+4Qo0Pn7mKj56NjM+b6YxPjmELz4H9So+m6UsPi1SNT5iwzE+bkIuPsFyOz76dHc+IMB6Pu7lOD4pVzw+RIt/PnbCdz7Ah0g+zfkyPirtND7LAyw+f0ovPkHfMz4vkj8+KJs3PhaNMD6KHCU+92clPk4GLT5AcDI+9f4yPoweID40yh4+IJBCPuaTSz4kqF0+Hy1IPgpfOz6/4UE+QFFCPoHhQT5buUk+CFo/PlO+Nj7uKDc+pnI2PmWiNT6MmDg+Vj0rPnCwYD58BV4+seooPiVVMj6UFDY+LrNBPpfGQz7fV04+8bhKPm+BTT7cO1Y+gZlGPpuJUD5BUz0+gZghPngeKD4r/zc+geEiPsZ6Nz5HNjU+zMw0PmQbNj6N0zY+geQpPoLMWz7/YF4+tPsvPl0jHz6n8B4+JncwPuReTj4QMSg+hhk0PsSiOT4RNzk+iJw5PqU0Kj5Exik++LQpPmIsKT7JeDI+tmU1PhkyLz5upys+rZMcPjitFD7YViU+fgQtPqLhLz6G+ik+ZsI4PtX1PT72hDU+7xgiPrPiIz68CEg+MYI4Pr53Lz5Xuz0+b2D/PRkCCz4VVSc+yfIxPge3NT6HSDE+hx0dPiv0ET5GASA+QzIbPvk5Fz4ZRRs+L+ItPmseHT60bxA+wosXPoaYMz4VfTs+U74uPv/iJT4sXxk+5PQaPjtQHj5RFSA+EnAqPhxEKD7TvyE+roYhPpdrFz7KRRg+bY0iPrifHz55+x4+dVckPhwZMT4adjM+VAJCPjAeTj58QD4+KZAxPq4COD4o2D8+K7xXPnW9Qz6dZUw+f5ZdPqQnRD7wIkE+CDJLPpx0PD79Sxo+eyEVPgVgGD4ibxg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7JMVT18IEw9Dhw/PZg7RT1a6Tw9Q/9JPfibTT2i3lo9oattPejzfj37DoQ9aOKhPW9vnT2Gi4o9ubZzPdzXeD15ZXw9qrB+Pc7Vej3Gkl49zTs/PXIvND2mPDc9QqlEPU2ZPT0+xSs9vTQbPXdMGT0XriY9IVkhPVTDKT2u/jo9kuZfPaW3dT1MWIs9FRmcPUGdqj1Jt7M9HMi7PQMJtj0muKU9l0iaPZahkD2zI5I94tKRPXtqgj0f53I9YMWBPfzqhz0AdZs9v9KgPSb0lj1Zvpw9sy+jPfI1sD2Kr7A9LKeaPSXJlT01NaQ9jDS8Pf4jrj3CqKk9GaGgPfnMkT2aQYk99sGAPZK+gT3J5nk9Go17PUBVjz3TbJM9z1eMPU4vhj3AOYU9EihwPb2NXD2JYWE9cnViPZ3wcT1hWnM9QTt8PYJeiD1iLo49xmaMPWc4gz3qP4A9iVRkPfdAWj2oRW49iBh3PQufdT1hx4E9CHeEPaIdhj0o/H89VZdkPdfKYD2wf2M97x52Pc3ehD37+JA9KhqfPbhXnz1HC5Y9vkuEPfpBgD2q+I894vGcPW0Zoj1OD6I9zHOXPbJYij3tUYo98L+NPQbAkj01bpM9wPmaPcUqlz1+2Y49QKBnPW3kWz1nhmc9uJZsPYnkYz0QjIA9T6CHPe+agT1F0349uUWDPamEdz0n4nM9WEeCPd3Xhz3yjog9hV6GPZ/rgD3oQnA9+1+APQNShj3rgIY9kCyMPZsShz1E5YY9u2yIPTcOjD1lEYw9NLmAPfvHcj2cv2c9ZENhPa/BbD0hx289CnBrPYhBZT2hAVw9KMFUPZWSUj2+RFY9Ii5zPQsqYz34tFY9wT5wPapibz3U5HA97WRyPf0Haj0/OmI95oZ3PUEIhT2sRYU96IWGPRLRhj38jIU9TX9/PVWqgD3MrYI9s0eCPYp7gT0XvoY9zeGMPdW3iT0u3Iw9cZiMPd/5ij2HcIE9F2R/Pafogz1/R489LDSYPRgEnD3hn509CvmWPU1Rhj3Pw4I9jtiFPWBKhj3vP4c9y9yGPYrnhT0VtoU9I4SKPX4tlT3nNZE9IxiRPWDqmT1yRpM9BRiQPaq3lD0UHJc9WmuUPQqbjz0G95Y9TcWcPVFcpj2bRJs9mUyZPTpwnj3ONaQ9pXGoPYGUqT1Hypw91QqRPTnPmz3nVqI9XuGjPQoNqT2htaU9rL+kPbvqmj1mz5M9EDCXPVTzpT24naY9uBiiPeuhpz13r6U9I7WjPeuioj0e3Zs9tjSaPRE5mT3E1ZI9ffSOPSremj1TRqU9iTmgPQJkpD2r8K09RZCoPXA/oT27VZ49U5SvPbTTtD0hdKs9FFiqPXIVoj3SDJ897r2sPVcgtz0GR7Q9Y8a0PfyYvT0Y4K09QCKjPc2YqT3i/Kg9LPyjPV07lj3X3p899qCoPZltqj2+Zp09nU6WPQ8Dmj3zWqE9hierPcEqwD13Vcs9kRfLPXI6vj0Zl649IxukPe0/nT3OHZQ9By6SPSFsjT2qkIc9nN6NPWI3mD0WgZU9CCOTPXgUiz0qg4090uaPPR1XkT2/MJA9OOqPPUvmij3//ZE9TPSGPS+Lhj3PuI49iuyPPaNmkD1THYw9H8+MPQU5iD26x4I9AJ6BPfcbgT0m5Gs9teVzPZ+Hhz010Ic97e2GPZI7gz3SzIg9OWCMPY3TkT05nIs9hTuIPWANjj3xXYo9YgSJPWPZhj3+joQ9fdWEPcUmjz0sNZI9jCGRPbW/mD1FVp89yzifPRwdoD3HYJM9Rh6DPXWzhD1L84U9WEaOPXZFkj00H5Y9ZW+QPb27nj3u3Kk99pOnPRW3pj2AlaM9OO6bPdBLjj3OC3U9cPBtPS1kaz0yPWU94wVxPb1Bgz3W0449TFWfPaIGnD1niJs95M6ZPcCrjD10bIg9qleTPa0vmT15/Jw9nDaVPcYLhD0m72Q9pqJbPS0YYT2c/oA92uuJPe+JhD1PwGM9x6pjPW9eWj18DVM9NlBhPQECaD2uDmo9oUhMPaqXRD0xsj89W19LPTN1Qz17WD49GL5LPaNUTT3640A93xQ0PWJESD0VwUI9q1FRPdUjXz3PTWY9Dx5VPXuxST3+6Fg9vvxuPXKIdj1wz3Y9wh98PeE6kT2otYQ9AylcPdrISj2CSzc9KNEzPZGYNz3ygy09x3EwPWIfNT1Ejzs9DX9HPWElNj0+hSk97VgcPTMlFz1FTh49o1ErPb2pMT0sTPY8Ka+3PIvdtDynxbY8Ll2xPI5DxTwN6MQ8EuS4PFndszwFmcI8+FnKPLNYwzwU7LI8BLiyPAAKtzykTbg8fnHCPEtyxzxMLLo88XLAPKhGwTygMsA86JzUPOqqwDy2tLY84NjFPCC/zDxUfsQ8OOLSPHJK1Tzh58o8pgzXPCdl3TwVq+I8Gz3NPMSXxjxC27c8LdnWPHyL8jxZffw8ZFE2PXsDAz7HNWg+4tFCPkOZLj4/yjI+3e0sPsiJIz4H1j4+c3pkPgzyZD493j4+mWU7PgvZMj4a0Sk+bEgoPgzvLj7IPSs+4boiPmzFJj42GTQ+8LQ3Prv+MD7Z6Co+COEePlbyIj5wdiE+V+ogPoNbIz4pkCQ+aE8lPrULJz7qcSQ+KNw0PlURTj5ji04+R2c9PsQgLD7SWGY+xF6QPvaRhj46NXg+j8YtPgxtGj6m4B0+ENQvPl8CPD6z+Dk++PMyPsh3JD7GHx4+u84wPrWlJT4O3CQ+CHspPjilNj6kATo+tZ88PrmKMz5H/i4+600bPnJJGz6/3C0+qsNOPhgBQj68Ozo+PFYrPnA3KT4kRy4+F7IqPqrWNT5Jkjk+rCRRPuWVVD453Dw+zENGPqkTZz7Nl2Q+nkBNPn3SNz5GDTI+NpouPj2xMT56ezc+qcY6PpoCKT7R2CQ+OkgsPiOULj7foS0+YuorPpVSKD6DJCY+h9cmPixiUD6DjVo+WidUPh4ZRT5OaDg+jSlBPs6QQT6pZ0A+O3Q8Pq2hRj5Ro08++XtBPoK0Qz6g/z0+DskzPsbuJD4W2Zc+QFmzPmPEQj7X40A+kDlFPl1vUD4uO1A+s1woPk6iIz6C1iM+IGQsPsT3KT7j7k4+F903PkjWGT4B3Ro+JV4dPtxcGj4BEjk+UK1MPnxXVj6Bx1k+OhlUPuoUKz4oMzs+/nZYPqo5TD7DhTc+c4kmPryMJj6Ugkg+Mfw7PmnjSD4Ouk0+2jNQPhH6Qj7e2DA+bik8PuWiRj5uck0+1WlQPpZYRj78Ais+CQ8dPhuBDz6BEAo+CA8aPp+AKz4CcU0+rKA/PlOcUT4xtkQ+k8otPvzPEz5IQFM+TzhVPsXjHz6aqx4+8zcgPjoPGj6gtyM+xeRMPmMbOj4J/SA+bSIdPuRRCz6HhAc+bHwZPg47KT4uAS8+3kIwPh99ND7GiiY+Pe4WPs6DDj46tRo+b7YcPslTGj4DHyA+U0soPjXQMT7YGlM+6uc9PgRGUD4WtjI+F2EgPsgvFj72Rw8++9UQPjs1HT7sySM+5QUhPr9FJz77Ej8+dJZFPg2yYD7P7F8+eWhIPlhYQj6k8lE+RwJQPswkPT4HxTM+JsQ+Pse+Qj7GXkY+hohIPu8tUj6xIUE+7qQfPht5KT5K/B0+rWocPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8/NJD0bSiU98dgsPSf8Pz3PuEo9lPRcPYVyZz0phGg9iWxsPYKlfD3C8II9g8hyPbzpbj3DfVw9ZvNiPSo9cz1eg3g9pftxPRojYD1agWY9ubhYPUKmQD1M4EE94nw2PXsvHT3lIQ89ZCgMPc9iBj1RoAc9ypYfPb4rPT1mGk89tfBdPawagT3uJIU9SXeIPeKvlj2Lr6o9xqu5PbZQ0D1arMQ9OHSTPSnehz0sf4c9ZnuNPeaFmT1RsJM9/n+LPfeeiT3OCoQ9DeeLPVyymz0HtZo9qtShPSzcnD1B9ZI9QnuSPWwnnD0BApw9zNatPR2urj2uL6g9gcqlPZ5qlD3IGZg9UbGZPQlKgT2jynw9bMSEPaK3gT1+/Hs9gMSGPU2jiT0QF389mE9tPT1OZD3MQmc9fhFwPRGagD2coI89aTuXPSYeiz3mloY9k3eIPSYxeD0KYm89yFZrPWaUXD0jw2Q9GJaHPUqwlT1wlI89hq6IPe0bgD3fzV49l/RaPSs7Zz0I0oA92VV/PdDFgj2lpoY97wCOPQtBjT3ZWXc9bSxtPV6bdz0BsoQ9jreRPWMamD1WeZY9XueSPZ/ukD2FO4A9goGEPbJMmT1CaJs9YkCYPWx1lD3Ps5M9GTaCPZ0/Yz2irmw9TxJwPTQXbD0GT3I98dNrPUxRcD0oIXI9PzFzPTt9ij2DO4k93iuCPXZHfz2k8ms9tCVnPRhJXz26pWc9+LZxPbeEiD3LC5I9C7iJPcpTgz3/Unw9bVqGPUQmgz10XXA9IAdrPcuvYj1PuGQ9z9djPWmDZT1LF2U91yZoPfulbz0aon89QXmFPSQ9fz05ynE9BrplPTR1Yz2stGc9m5tsPdrfUT38dTs9+J5NPXDFTj3Fbl09V4KDPTlMij3GcYg9ry+EPUJrgj1L+YA9stSCPZ0ugz3xbIA9J/J9Pbxvez2RU4I92aiKPbQajT3M14E9/jiKPWoJhz0BoYM9dq+HPVBYkj00tI89JT+FPWqmiT3mdo89De2PPcDLmD0CLJs90TeYPcrdmD1jS589iRyZPXIckj1uxZI9gzCGPX32iz06dZM9zbSJPQ5ulj2K8pE9ALKWPbUfmD21w5U908OaPbJupD0UgJ09k/WdPY3ElT15b449qNSTPcnAqD1WZZ49GQiTPT4tlj0plqE9bFemPbdKpj0MW6A94rqoPVAFqT0L7Kk960OjPcL3oj3IDqw9g9GlPTs6pD0Fwac9BtGmPWgpoz1fE6A9Nv2bPVLglT16IZk9zj+cPZVElD1ZT5A9xyONPRmHjj0e3ZQ95/ybPXndnT1iQaI9d5WiPZnrmT0CH5g9WiCiPRf1qT309LA9F5usPRPtpj31IqY9bg+0PSRntj1O5p09OqeWPXtDlz0CW6Q9nFeqPSahqD1yF609rrO0Pb6Htz0Qg6Y969ycPRW3qD0MU6Y9zRijPZJ/oD0+UJ49MpavPYGftD0lBLs9prXCPVVyxT0Wd9A9kji/PfntoD2zbZk9c3iMPbgWhj3s74Q9EwKDPb7ijT2+5I49TjOOPXxOkD37sZY9D6ukPflkmj2orY49tLeQPQFMjj2kXIo980+OPbYJnD1noJU9LMyNPb7xjz21wZI9N2CJPXOSdT3W9Xo9Rxt6PTtLgz0FX4M90FWMPSGMhD1wN3k9ppx/PSduhD16Ook9w8ecPTD4kz0rDow9KCqUPQawjD2MbIw9uTyOPZLZkT28vJA9ATyLPcodlD2e6pk9rfWlPdZEoT3cGZw90WmWPczBkT1tt5A9Ma6JPRMFiD3Swo49gg+TPeEfnD1p5Zw9bLGcPS5Xlj04qps9BI2UPTrYlD0U/pw9IsKzPSX4oT1qjoU9g/J5PUiTZz3RA2c931lrPSA1eD0x9II91HuZPcKfuD3xxLc90Kq2PfdCrD12Gos9m+2BPZB0fT2gG4I9FECEPWLqfj2pP2k9RAlvPX7LaT0GaGk9XHtuPb/AYT1fEHA9++VcPeZ3VT1caF49ur9kPTeGXj0jWVo9Bo1MPZ9SST1HwVA9iExSPUC8Tz3k60k9u0I+PTYdRD1wq0E9tec5PZIWQz3OPUg9l65dPa2chD2p3409eDaCPTapWD2cPFE99lNmPXb1Yz34WWk97/ttPRj8bD1kvWQ9pRtCPS2NID37+xo97SwnPVHJKz2i8hw9u0kiPSGKPj0v6lA90IA+PXBWJj2LyRg9WXwhPXOCHT0x5hc9yAkMPRW82zyy9dQ8N9yxPEDArjxk2bo83sKxPFLEszypAbU8LOSzPDVauDzf1LM8tZi0PJNhyDyI9Mw8SwHEPDOHtTw3naw8o/2sPIgW0DyXk9E8ewO8PGVDwjzjzMc8mSm+PJVIzTwqrsA87fGxPD6nxTxVvtI8GgTEPGZ9rTxlWrk8yjXGPGAs0TyFydI8O4bOPMG3yjz01b08Rdu6PCydvzwXCwk99FkWPU78Lj2jUKo9GClKPrQsSz7hMDU+7lQ0PmoxLD75LCk+itg5Pqe7Rj6NTy8+67wqPuFSLz63rS8+xJcoPkSGMD5z0jc+WPozPlncGj5OEiQ+7E8rPmQBLT4ZBSw+JOwoPpQ4HT59zCM+l9gjPqTGJD6uMBw+OV0cPv8yIz4ISCk+kQQvPgKbQD7aVjQ+mfwsPridGj6LbSI+PRpjPl4OnD79HE0+Dt88PjAFID5Gbig+sb4mPusLLz5wckg+pOZKPrcYRz4Bsio+wnUgPl5WJj4m8So+cpcuPvhuOz4HTTo+WTA8PsRKaz5Zjng+8LBMPhzuND6P2Sg+HwhmPh54cj6Q2i8+Tq01PiRuOD4nizM+3R41PsR1Oj7YrDg+2XsyPnKLQD7dzWs+0tWBPlCudD6iikU+7I5TPm8hTT70CkQ+k488Pn0VQT5pFUA+npM4PjCeND5zxDs+/OU5Pv8jJT73WCY+bSUfPs4rHT5X9yA+IpMiPmsVTD5PDFE+fH46PrufLz7QFiw+HzIzPkwpRz6lyUc+DMwzPqnfNz69cjI+3xwqPhi1Sj58KEI+dn0vPt5FLT4xqCY+0UphPgvNrT7Zr10+gyBRPis3UT7PO4Y+7ku5PmQGnj7zpUQ+Gj8gPh1pLz7fXTY+/qpoPsghNj6DNiY+/4oqPtN5Jj6ekx4+u34pPv+hUj6yvGI+0TNjPgwuTj4jJ2k+asRTPh4oPT7cLTU+H8w4PtZuNz4kfBw+M/AXPpQ9Iz4D2zU+/pRSPufHaj4RSUU+B6QyPpw0Mj6/tDI+h0w6PgICPz7VByY+kEAYPhoXGT7MABI+2oIcPv3QIT4BoiY+pKY7PmkYRT4Ylz4+36ohPsheGD5VMhY+b/E9PmszOj7igh0+hVQVPkcZFD6pPw0+vn0ZPj9EOT59GCg+YZQZPo+qGD5RrRU+dJQWPpWmIT4BiT8+rHU9PhSXOD4KZCg+lcgjPtZLIz5AHx8+Uy8rPvp1Kj64xxI+8N81PjSTaz5SWG8+gaFSPmRzRj6TWgw+pw4gPvs5Wz6SkCg+WNo4PiSsOz5TWzQ+ekQsPvTDIz6JYDY+37RjPuyZaj4awmc+b6U/PnwxIz5pNiw+A94+PutUNz7iQTM+Hiw2Pgi9PT4coUM+tJ1APk4HKj58MS0+WnM1PvGOMj7zXTk+iYYmPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8nAXM9JwFzPR8lbz3x1F09PpFKPXOVWz0/dmg9PtVnPYocbD29hGs9BK9RPTdoSz3KLHM9kSB9PdoyeT3vzWs9t2ZkPfk6VD1W/FQ9cyxBPSi6Oj3HjzQ9M48rPUG2Kz3Bnxo9d1kNPa4TCD3v4wU93D0IPbw+Kj04lj49D9ZGPXR4UD0j+G49UsGEPQD9iz178549qnDGPcQwzj0iYrI9JQWQPYK5dj2r4oA9Vpp+PenVfz1vqYU9woSGPZnflD2lgK89dBWuPTpJrD1xkKQ9zK6WPV3MhT12uIc9LKaPPbBZjz1HOZc96J2iPaSwoD3rYJk9oamXPdPclz3xvJY9NPWXPXr5hz3FIYk9hNGQPZ4TlT1/p5A90DJ8PR9sYT3t8mU96zxtPd/iaz1FXWk9nJh+PRbngz348m09eMVXPSmXTj0CDl49CpN4PcfgbT2sqX094yqDPQxygz1t3YI9JE9+PceYhz3Oiok9sgyHPZsMfj0c3mc9mudZPSvUWj3PEG89j7KBPdwPgT3QRXs9KtePPW8Zkj3oRoo9pYd+PQxxeT3kHHs9y76BPQtXkz1zwpQ9GgOJPcnXhj0/HYc93MGQPXhTmj0xca49pcq2PSuSlz0nnI89IryCPV+zdz1h6os9qtiMPbOWhj0LhIU9lQh/PYM5bD2kHn89guOLPUZSij3n+og91SmFPckHhD1j/nA9JKxTPX53Xj2hz2Q9jZGAPWFJlD3pS6w9XsapPQqdlD0IKY89NnB5PR2Raz1odGs9Krx8PSwGdD1zi3c9ZzuDPbW7gz1ESY09DPiJPSAWgD38XHw9HZh5PeOCfT39PWQ9fUpQPRd5YD1A5GU9jS5+PUZlhD0+9Fk9TxtRPQP/Wz1tMVs9ya9lPZISfj1BKXU9hgNXPZxPbj1BWII94KqYPb/UiD3grHc92IBiPbKoaD1RD3Q9NVuBPazPhj2E/pI9n6mMPYOKmz1NNp89toGaPRi2hD1hcYE9+76DPd1ljD3G9pQ9CyakPTdMnD3qyI89HpOQPUyljz20ro49womXPajOlj21m449/7iSPYLPjj1XUJI9BoOPPfqljD0L+JI9DYmXPXY3mT34MKA9i/2oPfKDrz3Dwao9fTOlPdWNoz2idKg9lpefPboioD2i9rA9PMWsPTWjoj2FZ5s9aRycPRx/nD0CkJ89d6mlPQtCsT1fXas9s5aqPZ30sj2BMqk9T9OjPSe/nT3Idpw913CjPVSMqz18D5Q9lZmdPVvDoT38/Jo9eo+dPR+goD2zGaQ93jesPcpfrz2fzKs9vEugPS4Znj1JOaM9bDKePYmDnD2UE6E9Wr6pPeZltD048rQ9E/SpPXTGoT00/Z89NzOoPeqTpz07m6Q9JpidPXurmD1Vj589Bl+sPULZtT1K2as97hCgPcldnz1lwaI9bpWePZn6lz3YaZ09UGOpPdrnqD0D6bU93QS8PfqQwD3UX7o9QybPPQRl2z2rMr09W4CyPS8Imj2q7Io9E3eEPSvugD1dZ4096zuRPTO0kj1toYs9wWeLPdc8mT1X6p49xu6dPXkpnj3Sz6098LuhPVKZlj02v5E9OAmTPZ+Hnj1NM5s9dBWRPboPiz0zBoQ9d6WCPbvvez3izXM9w6CCPS4LgD2NwYQ9S5OEPRPmdT12H3I9Ar6LPTqEmT3/jYY9IleEPeOUiz3306I9KlWhPSd8jz3RiIk9Fn2KPQKXjz2KU5Q9LJmUPU2NjT2Fy5Y90waYPb1xmD1R0Zs94o+YPcUShj1MR4w9DmGTPWiblj39U6I9bJKyPU6atD2fW6g9ofemPXQFqD2qPZs9T5CNPTqPiD2594g93eCLPeSijj0vz389k1xwPWPNej2YZX89BIiFPb9sjD0D15U9sNygPWNGnz14Q5c9RYWOPYx8kj1rSYs9yjmGPXi3hD23w3g9b2FvPXF9az3taXA9n0OBPSiIdT16VG49r49sPY4Ndj3jXHQ9wt5lPRE+Zz2Cd4I9OOmEPTZFfz0IR2w9nXhYPdVTZT2mIWU9nrBnPWVGXT2g8FQ9KBxaPeH4Sz3Nii099X8nPetnLj1WrTE9BvM9PdJWSj2UrUM91S1BPTYMSD219V09DnBtPVavdT1ABXE9dtdoPZ1MWj37TVQ9ScFePYJlPz1dRS49GvAqPeODND1MBjQ9A1EoPcUiLz3dvS09bZgmPT0QGz3eVxM9pC8cPd/7Dz3IIuM8L1/MPO98uTx5cKU8mrKhPFrLqDwF1as8UtGrPA8AqzxRvsQ8X3ikPNWppzzXPcQ8npjVPAqL2Dw/PcY8Cy/NPLAIvzzwabQ8W6q6PH5EvTxTdtc8KrfPPNaIujwyXt886FvYPG3Szjz6s848Sn7OPAlPxjxYxcI8qxnAPAozvjy/xa48p8a9PCP+yzymZsg8Aw/JPL5wyTzwf848knHOPPu2ujyLgKk8vcP2PCb9Cz2XvYc9F8cQPulTQD7HQzs+0lciPsHcID4YhzE+2OgtPo2KKz5r/zQ+o78xPmM+Lj50ICQ+dwMsPgpSKz4efC8+664iPtBIIT4EFSk+cRErPucFKj7BRSA+cF4dPkvIHT62WCI+e+ApPsm5JD4//B8++dkkPobKJz6wHzA+pvIsPr8APD4TYS4+maoiPiu2MD4uCi8+vP0oPnYiRT7Yxmk+3B06PnhsMj6qPCY+JkQtPorSIT73MTw+4XlXPjclRz7pSTw+qDsrPslLKj4fQSk+DG8yPuFxOz4gfDg+fQ0sPtGHST4FfoQ+XFOLPiOohz6r84U+2AqEPu4pQj4BBTE+YHk/Pn/+QT7qbz8+qptYPjh0XT7VDiQ+jxg6PtohUz4zw14+85psPnmvWD7Eu2U+ALhYPmGeXj7MjlM+Kk1PPlLEQz4o9io+mLUsPpo9MT7VAzA+xOs4PstmKD5+2yQ+N6sXPlxHGD7/CSA+tHYnPrnLST6JjWQ+FK1EPruGLz5iKSo+uQApPiUXQj4YeEU+vzw6PleCLj4EhDQ+ugwjPkpeGz6f/jo+Ab9DPvObMT4YdDM+qwkzPlpALz4vSGw+PRZuPn90ZT5LPXE+4hZ9PvXxaD5OUGk+pP43Plx1MT75GDE+87wwPuYDOj4mHDU+iqstPupuKj7mcSk+3UkqPjL6MT4yFi0+hCU0PimzRz57WVA+EviLPgeebj4aQik+XO4yPq0oYT4LknQ+M4s/PqtBPz71izY+xccwPkDQRz5+GVI+aRdRPltyWT6sc2w+bkowPqWzIj5rIyM+iEIpPhd3JT5yCyw+XBg8PggEOD7bRjQ+hygzPjjKTD5HEE0+G4M+PvdTJj5iZh8+018ZPuMCHz77si0+xtYUPvxkFD6k4xY+aREbPlQXKz4UiTk+uBwiPkspMT4ANTY+B4AmPu3wHT6zryU+VqsoPi4WHz41Nx0+UAMgPt4iKD5pKyc+dWAqPgdmMT7YnDA+SI8hPpA/Kj5B/DM+qwsZPnuBET4UPwg+GQUKPrHQSz7tsE0+xp4VPrZxFT6RaxI+MnMbPvo+JT42MCk+Rdw8Puk0Wz7DX18+TtxUPtEEPD5IxSs+kqoyPmDJSj67eTk+2743PgBkMT4IuDY+oHNJPofrVD4odEU+wrZMPvEGRz4v11c+o/WoPqwNxD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/OSt9PcvZeT374ms9b/9yPcdHfj0vSH89ukt6Pc+dgD3WaoE9ul52PXKHWT2bZl49ei92PXWScT1h5l09bipUPTKMTj1qDUU9MilIPVlUVj2Q3Wk9CfppPeSXTj07KSk9vyoLPfonAz0ixuw89JTxPEZ9ED2Yfjc9dZdXPUoHYz2na1g9A2laPYdpdD0R5oE98qqXPRgUnT1oqJA93dlzPZlSUT3VtF89fEpkPVP4gD3zYok9YUyLPcJLlD0DmKo9aoarPZQroD1K+5o9i0KRPcF+kT1i4pA9AHObPWVYnj1wVJo96+afPcEZoj10k4k9S22FPZ+Tgz2zNIc9KfmYPZZ9qD2Cto09Zq2EPYpfhz3PpXo9do9vPbFbZD0xbmo9Ps5yPdigbz1ZN3Q9jA14PQ7bhj1jnIw9Nc6DPfe0hz3Qm449SrSSPZsgij0rM2c9OFlsPeupbj2mZno9jzx+PQ3jeD1mK3Y9bbRxPbZzcT37UHE952VvPTfndD3HWIs9BD6OPar1iD0Ij4w9CP6OPSqxiz1HKXg9K6JnPbegaj1WQIM9Ly+HPfEXiD37HJU9232dPdggmD2W4o4956+QPYo7jD0Z2KM9m3WsPS3qmz30ToQ9ghCAPcsqfT1i/3w9fP2HPQ6nkT2NToI9W2F8Pf2hcD08TGg9wGF5Pe2piT07pXw9U+V7PYgicz0aXGM9A4RaPXfDXT077XI96PqGPUPPjj285Y89xdOHPYpqeT2RSmc9intpPRiVUj2VJFs9SOF8Pav8hD2pJoE95aWMPewBlj0hsJo94EObPc+1jT2JNYE9oCuAPb1Cez0ZF3U9f5tyPfGMYj3+AnI9iCKGPQQShz3kxX49CB5tPUKQcj35nn490dN1PbFycz2dHHU9Atd/PSUWhj29D5M9qr+ZPYFDkD1YoHk9WyRtPe/ieT2zr4E9vfKDPdt9gT2cIoE9jPKLPWSomT2Un5Y9daGCPZ1qhT3U54w9Z/iOPYOXlD1rco89T0KLPZW+jD2os4s9Bwl9PXHghT2F6YQ98CiGPSW5jz2S5J09PHWbPQxljD2nMZY9D5WgPUl7mz2vloo9aV+FPXGTiD3uKZc92NKjPa9vqT3+BKE9g5qiPRblmj3GkaQ9w86lPXcAnz06VJw9ebirPajUpD32ZqA9bk+dPYVnmT1aip89AVOiPbDgnj0PEJ49TdOVPeVvlj2FDZ09+zSiPXGMoj1R7p09Nz2ZPQ4emT3aq5c931mgPVlEnj2rupw902ShPZLVoz1Djag92qerPee4uj0Ix7c9Tt+uPSo/rz1kWKU9+LqkPYjgoz218po95+CcPaLjnj0imqk925S6PdFWrz2JF68979CyPUZRsj1ZC7Y9Zge0PfUWtD2OeLo9B1vDPVb2xD0/y6w9MXSZPfnFoT0lWas983emPfoVpT2JtJk9lnWuPUs4uj3E77g9jfezPRAJtD0bg7c9cvKuPRqNtz34tbo9DemvPbzKrz2gfKE95+eHPevHfj1TOX89/fKEPUTWhz0djpU94cyRPahElj2h+6I9njqyPSVjsz3ihas9rAquPd1bqz3GlZ898peXPc2Xkz13RYg9Sc6EPc34hT1kEnk9JPpwPX89dT261nw9s7GGPUWZjT2eSZA9quyMPdloiD05zX09xbd8PZhphD1SIYs9+pSHPW0YjT0c7Iw9iyaNPVopjz16+o09Vj2UPb7uhz2cYYg9MSOHPZHuiT1mIoc9GoqJPWe+ij22vo8997efPWkHnj1copQ999SjPSa9sj2fkbQ9TRq5PWj3uD07wLA98++rPRf5kj2pS5M98tqJPVKshj2QT4g9gvyIPas9gT3Hf4M9/n6HPX1wgj2GgXo9z02APbpEij06WJA9EqKXPeofkD2YloU9rjSBPb0aeD22Pnc9n9GAPfuLjD26S3s9Xg91PWadgj3LP4o9cSqTPUTVij1IP3Y9sXCCPcRWhT3e9oI9EQd8PT4OfD0cloU9koGKPSg2hz3pgoE97VxsPXsKaj1zVX899z6CPQyHcz3mPHY9xGZoPYQ6Xz3gvkc9/lM0PamgLz2ZozE9ejk1PUsQKT0pyCw9HXI4PSxYPT3m4Eg9l09aPSlfaj06M2o9rnxyPTHlYj12K149U4BaPXKbSz3iIzQ9PwcuPfVCND0Q5DM9ZW0vPfa8JD2qmhs9FMMnPYfaKT0ouic9wz4aPQCrDD1Y3dk8OX2/PGEMuDyGfLQ8kqe+PNxrvTyf8LE8HpOtPEBsqzyKF6s8V5azPF87sTxHTbM8xXm6PDoztzwLZLU8hja0PE8sszw1tLI8NO27PAo/tzzvR7M8O47BPEBi0DynVck8D2nYPNVz3TxQ2tk8hJm5PH0dujwrsb08uGm7PIKwuTxT0Lk8UjfRPIOU4Dz5Ax49bAM9PS1h/jwfT9U8Cc/API3W7Dyf2Es9La+uPUMisD2umNM9SPEcPvwzPz4nXDU+iz8dPgEvGj7mgSE+3pArPpx+KD4sVzE+zl4wPrCmMD6z1is+qKAjPg+YLz4Avyo+NTAjPtVDGj767CE+yAQjPqlBIz4xaiM+JccoPnSiIz7KmRs+k9kZPtyyFj49XR0+UygfPnfoIj7+cEo+dJJIPgxqKz4R5Rg+T9EkPnxGMz7gg0s+Ois1PsMnHj7CvjA+VjYePkUaHD7Bfig+JMonPqjFFj4zVjg+d2t4PgVQOT7gfBc+x9kbPsHLHT5DfRY+r20fPoDCMT4txC0+3GkrPiGQMT7md0c+ckZMPmTSPT4ymUY+gkFDPn0UQT7jbSo+AF0rPv/oPD6yS0Y+UjZRPkUdVT6CWDY+nokrPmbuYD7bKWM+OxRSPixRMj5g2Sc+/lo4PpizOz6MxkU+MA4wPobGRT7cZ1U+adgTPvpyGj6oYig+zHczPoAOOD7fjDQ+oMEjPi8AED7XPx0+3ucvPiF9Pz50sGg+XctwPrNGTD7hkT4+WXdBPj6wJz4yBSg+ayIuPqIqNj6gCT8+/EE/PtG/Nz4psyQ+6DNCPhenOz5BtSg+qvsoPqu/Kz6YnDw+F41HPiw/RD7WT0A+WHE8PshWMT4fwyU+hc4pPodmMT6C/Sk+ex4pPqrZJT7zrSc+a4chPiJzIT5KkyU+8LAkPvUCID4CCCE+vM4fPjb1JT4VU0M+NZZWPkcZZz5pmjQ+iWksPhCTMz434Ss+CiEtPvkZKz4a6zI+Ad01PnkMLj678yI+jHUiPn7QVz6wGog+FSGBPjxtKz41gys+N6YxPuPWHD77/hg+CpwdPnjeMz4Bd0g+19JMPh9+MT4s/kU+JB1JPjbUMD4W7Sc+FNAlPh7fID4qbkE+rIs9Prm5JD5RVCA+ZZYjPrXSKz4E+zk+TMo1Pp2WHj5lEjA+7tgxPoxiLT51ZiY+g3ogPpVYIz6r5yA+OLIiPsStIj6OjCE+CY0jPru8Iz6ZuSE+tlYoPhoyLD7xFzE+NrsbPo6CFD5Voho+1ugiPlBZJj6MtSU+EOUZPkwYIT7qYB8+wWUePiAMHD4cBxg+PeIiPjJsOT4eej0+QWd+Pq7Ebj6OWUg+0h9IPrBzST4EC0A+d94/Pk/1RT7RvUY+xh9CPgx3cT5SQlA+XBM6PiyWMT6nCSw+PLBOPkbyiT6Voqc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9+fcT1kp289B3ZpPWfUcD3QTYE9wDGIPY0/fD0dD4o9gUaIPbIzgD2Wo2o9nrR0PVeeiz2ZTXM94Z5LPRWIRj2k1ks9kuBbPfRuaD0k1YI999+CPRjqez3LGVo92+EvPZcXHj3YqRg98tUlPWXtMD1pQzU9RwhKPRn2YD3s5FY9FXg+PYvmPj2y9ls9tnR4PZerhz3vuWs9nZlEPdsmMz28EUM9ti9cPXtTej3MB4g9SQyOPZpsjD2WlJI9Ba6ZPcXElz2D9Z09DCifPXiSnD0A3Jo924ibPQxvqj1Qzac9zy+ePQ2YmT09XYc9hMR0PfAkgz1iXI09X4WQPWjHkD1e2JE9BEiGPdbhaT1a+2s9yNdsPVjjbD2g/HI9iT+APdjjgz3wWoA9sQR0PXrKcT2GsYo95qeMPRvEiT1ixoM9nLWDPU9NgD07+2c9lvpkPSNVdT2RO3s9DPyAPeX7fD2BQGk9q0RjPWGobj19D409NwOVPTOhlD0/JJM96/mOPZ3Lij0oVpA9QS+LPV7YhT1x4Ho9Cu9yPcMqez31K4o9LGaRPdciiT0TIIc9mLGVPStLsD1Jc6I9Pv2XPU9pkz2nJ5E9KU2cPYxhmz3OEJQ9ffKSPRmojT1SbYs9aUJ7PYD9az1BS2s9Rht4PVLVfz02HoI9JSiOPQEOlz056Iw9FYd3PU5oej3ZXXk94+tpPWOcWT2xNmA9Np9qPY3jgT08joE9JkBzPUcvVj3CWVc90ndtPcPEhD0SyII9uxd8PTpUdz0mUH09jlyRPWRlpj0Kd6M9Gu+bPVaxnT1mWoo9WV5+PRlfcz16UW89PtNwPXkNeT0+T3Q9+QxpPaQfVD1YwWA9QNhuPbD5ZT1E1HE9jjl0PXRycj1rsHk93/WEPRVvhz1+GY89yz+QPVumiT0cpXw9DXxpPRxFYD2RBWw9XseAPW+hfj2Xd4k9KSeQPShmmT2WDZw9A/eWPdtCkT0wEJE9oqCSPfy8mT3ivZw9HWGZPa8ymT1BRJY97ZqMPXb6eT25Bok9fWCbPYWBmD1MPpg9rU+hPQULnT0bRJc9nVKXPZ1Ijz3krJA9zvKKPZcdiD30MJY9xGibPT2fnT2mEqc9nISkPYoQoz0kWZg9s4mUPRqJnj0kAqI9ZOaePXUgoT31UJs95fefPViNoz0x1J49BzWjPSphmD2QcJ09Pq6gPVJ3mj3wL5k93XChPXh/oD0Vb5o9pB2cPXornz1AeZ8999CgPXSaqD3AK6Y9SgybPSw6pT2LKKo9gUaiPQ+Dmj0uoac9etSxPV69rz1+F6w9FNSxPZ39sT1tIq09JT2jPWeYqT2QU6w9lyavPSzEsz3+rr09ijTBPduiqz2LkqQ9cdGlPWw8qj3S07A9JRm0PU2UtD3hY7Q9c0iqPQlxoD0uAqg9AD6sPXTorj0Nc6w9+DqePW1LnT2895w962KiPS/xrT271rY9CqqzPX8zoD32uJw9/uidPfhNoj3tsZQ9d2CNPfq0gD1jgoc9p6qNPfjZkT2mWZM9hg+UPQGEnj07iKI9QnifPfo+vT1WUbc9VeGwPfJRmT0oSZg9u/iUPQv5jD2pW4c9nkOLPXmXlD3PLo49Eg6HPf6sgz33UYI9snV+PRBjdj3f04M9vsCKPQwBhj3SU3I9+cZ9PasykD2JIJQ9CymWPSOFlz1K7JY9u46WPYdCmz3dEqc9JFaePWcVjz2hAIY9PNSCPW22fD3qJYU9FemFPfr6kz3mg5o9CW6XPZ25lT3/raQ9AnefPXtCoz0Boq09A66vPc3utD3qQbw9n0moPbIBmD2oGpQ9ZuCMPUOGfz1xOH091NuGPfdchD0eUXc9fXF1PcLggT2MeIg9auWDPe3sfD2S9HM9bltzPTK4gD3UKIU90pV8PQTjfj0LcYc9g9aJPVnIgT3ytoA97x6MPc4Plj1sBZE9KQ6UPUq2kj1C4349tKt2PUdYiT3MlYY96BWBPbE8hj0VY4M9sdJ4Pbhhgz1FAHk9M6JqPQ/CaD1rzXY9IeWKPbPKgj0nOXg9Ms92Pas5bD0HcVk9coM1PS75KT2MWC09434yPRWhKj1o6Rw9OnIfPcfFQz2jEmA9+6NmPSVpYT2C1HE9ZHqNPfilhT0skFw9ALhSPU3cPz18RCs9abg8PYEfTT0+Zks9leJHPd0aQT33jSY99JARPULeFT3Wzxg9ciUYPU3/ED1GUNk8i5i9PG7ttzxY1q48yiqrPKCHxDxbLsQ8wq+wPA/UtTzx0bM8fhuvPCSGojxIEK88CRO7PHZAvDwK9708p3W4PNOLsTwsEq08YxKuPDVmuzybHLc8WTKrPDRpsDw5OrM81mvAPF1Ezjx65M88y9vKPK/dvDxQNc88YeDEPF08vDwb/9U8QlnhPOtk5jww3t087AwOPWkyMz1r4PY87/rPPAfIzjw4Ofk8BF9fPT/J8z1+kTQ+gm1BPmIUOj4tGCA+luEdPkw0Fj4xBR8+jzsvPivULT4styg+ZRIwPmRiLz7wlio+xL4iPqAJJz7nmDQ+vU8rPjs1Iz6cpSc+3wQpPrxbJj6/TR4+MxodPsOhHT5qFR0+XoYRPkbWEz6Sihw+N/sjPp9bIj4IQiA+01ZCPlrNST6LUz0+QmAmPhcCND4fyDo+tuAxPmtuKz6JhSw+OEM3PjKEHj7vjCw+pEksPrKmJT7nAx4+jJtJPtkCVj52hBs+M38TPqf8Gz6F1iI+7SIiPl2CMD7n9zc+E1w2PvWDNz6OADw+K71GPlDCLj7Gnyo+KVY0PlRyNT6TqDU+LokrPrhiND4Yijo+LddDPpZfUT7Zzko+erg2PmYtbT4UEWw+hb48PvufPz4LtUo+fHlNPh+cLj50vyE+it0pPk5iJz7cTCo+j5MqPpvWHz7pFC4+cCQuPjQlMD7EETM+jk0uPq87MD5h0jE+Jm9JPnlJUj60DGk+1QmIPp/pTT61HDw+18RBPmy1Pz7glCQ+1nwkPmi0JD7F3Ss+/YQ6Pso8Oz7pFTk+sywnPrBPMz6MXzU+V6kpPpWvJz6DIjA+uV81PrSARD7u4Ec+MxA4PnFNJT5YFyI+cscoPqPIMj59UTE+duQnPojUKz51HiY+PO0uPlGyMD7uUyc+TvslPkS+KD7GfzI+QuknPkuQMz6yqDw+Eiw6PgalQD519kE+uRcrPg0XMz6POyU+FDUePvzhJT5KvSs+778yPplIPz4vtCU+fZgPPsKNBD73YAw+47EtPv7qLj56QCk+23MoPqp9JT7TnSA+CvAhPmgCJD76USM+fAkmPo32ND7XZjc+RKpCPiAeQz54Cy0+lJIcPvsdIT7gFSU+WgkxPtzIIz47dyw+Y1UxPjvqLT7imC0+aScqPoqSIj7/XCs+G9EqPhohIz6veiE+eJIaPuBYFD5BLxg+K9cePrkeGj4kUBo+NlwePvMRID6P8x0+DkkfPvffGT7dVBw+HW0mPlAEKz6FJS4+AEsyPhhvNj58fTY+CQUzPtn3KT44gxo+OmcXPuhOGz40lhw+SMsePhjIKj5nUzg+VH87PkCkZz7/qWI+MFhLPhYhRj7/1UQ++KVAPpNERz58CEY+1S4/PnOEQj4DmEA+trRCPm+HYj77zGc+e95vPsxlbT7iIWc+oYRoPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8q2n09NON9Pdvqfz2QxoE9HGiFPXc/jT29b3Q9Opl2PfvBaz1C/mA9rf5sPak9gD35PYU9d796PTo0Zj0rG2g97pVWPXTUVT1Gx4U918F6PQ+MWD1GRVA9Y9FFPSTiPT0cEC09QYkzPahlTz3W4VM94EJLPePiOz374zk9xTJOPfO+UD25Kk899+lNPaLWRD3B8zc9CNY1PUzdST0dwFU9g2hkPYP0dD1cS3Q93lN6PQ9Igj3BgIc9GzSMPep0lj1YNJo9VIGnPTCMoj3TTpY9lUGWPaZ2jT0hS5M9k1+ZPXJDhz3rRoI9D0J/PRyMdj1q4n49+Ih6PVHugj2bAYw94XSOPdrHhj0PymY9fQ9qPShngT0/UY89iJGTPc3rjD0pOHU9IGloPXUTZD3HHXk9uWaDPec8hz3pBoI9pcdwPYJ3dz1r4XI9bLZwPW+rbz1Zx2w9fTFtPeZocD3r5Gk9tD1pPelseT19XIw9AWSdPcKWoD3bIp49YSybPTR3hz2xo4I9wYR/PUiNcD3ubn49Te6APfS0hz3o0JA9yqGWPQ4Xmj3tVpI9ZYKTPU2VpD2tfq49pTiVPbnrhD11yIc9Bf+JPYFSkD105Yg9042DPVI2hj14g4I9t0CAPVSncD3TE249G/h2Pc2Qij35c409eTeTPdHSnj2LV5c936KEPRC/Zj1vEmc98vRiPXTXVT225mM9kU1zPV4IeT0bQ2c97EV1PZWifT0dHWs9CKNgPVidcT2nVHQ9D6h5PWoUgD0RUos9cZyMPYOqkT3eOIs9my+FPcfTfz077m89FyZpPQ9IZz3oYWg9vfR8PfFChj3Uln89dCZgPUWFbD1ziXM9xtdtPducaj0aAGE9JaR2Pf1dgD3yv3A9dbBtPfP5dT3yim49WHyAPZdbgT3HgHk9DlJtPd3iYj1rDmI97+CGPS/whz2V4Ig9X8iQPUvZkT1iyow9ucKJParfij0RkY49bfGWPVGBnT2WdZo9K7GaPRx0oD0YpZI9gyeMPb2khz01boQ9qVqIPdIOlj35SaM9/2GePZ+jpD0MQag9g2CdPeOEmj3v6pM9YV2RPS8mjz0PD5Y9za2VPUPsmD3/RJ49jS6iPcuHoz3t/6c9PLKjPYufoD3I9KQ9/FSmPYtcnT2Qy5E90eGUPdfHlj3acaY9VcKyPfOerT1EAJs9irejPY02rT1Njqo9J9SlPXalqD22las9mEuiPR63qT1JAqw9rv6sPXYNrz2YVK89KkuoPeI/oD0cIJg9UhiUPa7ejz09XpM9g56kPUb+oz3POag9S66oPf2zqT3N0rM9FxmvPZXlqT04H7A9uXy6PWTMuj3CaLU9gtm5PX8Rvz27q7I9u2GlPZxYpD3Rb6k92KmpPcbhpj1yz6I9CFKlPfDXpT1gjqU9uo+qPfl5sz0uY7I95mSdPeJ9mT18dpo9FDOoPc/+pz1Ivp49xAyvPcgYuT0LMqM900uWPWIRmj3jp5M9pjGOPY3sjD2yq4k9YmOPPaw+mj0O0pw9dHCjPavzpT2Jdao9gk6lPVhXpT3sCZ49U0aSPfPakD1YRIw9/2SLPQQIjz3h/5Y9SkafPQj2nj2DBZ09fZOXPWE1mz2GfZ09NeKfPW8Fmz1SmYw9QtqKPTUojz3UjIc9ovKDPd6Pjj2uhaU9KiekPZ1OlD31y5U9STmaPfqqnT2S4pk9QwKPPUMxkj1zaok9wqB1PVZ+dT1bFIA9C4yIPXPtij0T3489i/mjPcfoqD3Roqk9ABOxPYYFsz1zeKU9AQWoPR+Vpz2oyKE9XcGZPeISlT3pn4s9xTyFPXbpgj34KX09DiuAPeGygz1X7YQ94POHPU9qiT05jIY9F3Z/PUXnhD0xXm09egFdPRaoXz1D12g9aSR1PX6pgj1Ul4I9Uo+LPf7rjz32wJA9KI+UPRbLlj1/76E9uEuVPWdbij1JaYI9mqyEPQRJhz3u9oM9K4OHPZ9yiT3mkJA9R+2JPbnFfz0yWG097JhlPZwyaD1Crno9fLiEPfabiz0jLIM9GpFxPY/IaD36s1o9zx5MPQZROD0o4zI9RfUrPR76KD1T2SU9LlEtPZ1yMj3v8EE9YzdEPTSKRT20sVE9LOtnPZXLdj0TXVs9CakyPWAoKz1qHTA9A90qPY8PSz2VAVI9+kBFPYjzOD2R+io9b/wSPXzV+TyUdN48KNe+PHYkqjz7pKc8/ZO3PDyjvjwpiL08i1u0PEZirjx5vq48zum0PIebszw+57M8ZoalPEGUpTwc3KI828CXPESonzz3Waw8KbazPOOdpjyb2qI8xCOiPBcYujx2sek8UpvcPJpztzwpZLI80r6sPGJ6tzyGcMY8VVLNPN84yzz4qsw8EsrSPLIdvjwsCbo8zKTGPKytxzwk1sc85JPBPDMvszzCarw8wlzZPE99Fz1jqCo93v9hPTbOdT24MQA+rL46PiyOOj6QGTU+6+wgPrWLGj78NBY+aR4YPmQJID60Ox8+oEIhPmxtLz4gxjM+hxYjPjBjFj5XWRk+pP8jPvwxGj44chY+DooePj8mJz5ysyQ+id0fPnYOIj6lbyM+CVIePofPFT5J5xg+OiwkPhSkKD5qvBA+7vIRPqd/OD6Cxzk+g7Y8PjdzOD5ooCc+dZ01PiaDMD4QKDA+sPY3PttCMj7dFCQ+/sooPiPFHD4xtCE+29AmPnkzNT7SUys+droePlkzJz4J+Cg+Xf0qPssJRD6xh2M+hQRqPue5Sj6EWy4+WGY3PiJQRz4TwDQ+gUohPqzVKj6FHzE+KcAxPuitMj6o2FA+J89ZPvc/Rj6ZoU0+eIBFPoYoMD7rT28+EoFqPke+OT6JpDI+raw0Pqe6MD7Mjik+LlcxPn1oNj7a1jg+77IwPv08HT4XaS4+qFU4PqtiLj7FTCs+h9oxPgrfQT6PokU+oRlOPtO0eT6dWIA+vFBoPthxTz6PoiI+3BorPsNhSD5QEl4+bDc2PkEsKD7ZhSQ+UCQsPqzmNj6t1TQ+tWozPqcWOT4bCjY+0Yw8Pi4QMj41qi4+K/IxPvewQz6jw0k+BRY6PqlVHj7ONBo+ntAjPppVKT4pXy8+Q/wmPiKnJT7iSCk+iDwqPl63Lj6IHCY+v/UhPo/WMj6ddkk+W/1TPmXXID4KaB8+AbotPnIpLT4xvi0+P3QpPieLJD6Z1Dg+4ygwPtPIIT6EVys+dfUuPrhANz7kdEA+k8gpPlZZJj67Mw4+AFgKPq1mJT43yCg+vPIpPsauGj6XABg+logbPvm2MD5FzC0+IvckPo9QJz7tiiY+cC0qPkwTRD7MK0o+sgE3PkBBHz4FFC4+XmkyPpUjOD4SSyw+sSkjPnSoKj42DS4+RI4sPiitIz43Sx8+ZdMgPiiSGz5NrR4+V3sePmDqFj7idw4+DJoWPlQcFT61igw+Bm0UPu67JD653BI+7rETPokNKz7V2jI+mxI5PktuQz5zjjA+Qto6Prw7OT7Khiw+AvMwPlrxPT53Xj4+6mMxPhv4Mj7CIDE+GVksPrNOLT7NOCM+1lUVPlApOz4lgW0+7YtoPhibSz7Kyzo+AP9JPmXrXj6k2WI+v2xtPgcRYD6AoEg+V3WEPrAUiT4ZBWQ+zPtdPosqVD5gwUI+ht0qPviTGD4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/3fp2PclGez0W/IQ9epeEPZbphD3+fHo9kwd5PXHxWT2tZmg9gHh5PX54iD1mbos9+pB1PTXPaT3ePlQ99y5YPZYjXT1Fhl49+p1NPTzhND2sKiU9PbUkPYPmKD2d+z49i2dbPY/xUj3LNks99shGPauCRT0JCUA9QblSPYfabD1781o91H5IPQqdRj2Ipjs9Pc44PQVYTT07dms9PTZ0PW6OcT1Ye2k9mkZePTqEbT27FYA9dOeIPfGQjD0xGY89sMSRPWWOiT0E0349u/JuPWoKbD27n2Y9uIKCPanfhj0d0og9SxmDPUDOgT3W/3Q9WSVkPY9ncT1T7HQ9XJd5Papyfz07omI9NwVtPWUmdD2GD4Q99jiIPW4SiD2ATYQ9Rsh/PQSYZT2II2o9FrSAPXQygj0kJX89rsdzPW/zcj2dgIQ9cKeJPdgfhz155GA9TaNPPS7VXj0OmHs9tUGFPcL5iD2jyYw97w+UPZV3jT0SEIw9MCyIPdxjhz0wG4A9GReFPeangT0CI3s996CJPUOyjD24qY49pOagPcZQrT1dAqY94IWgPeUYqz2Mm609Y6yrPWuJpT2EeIw9Ts9+PToohz2FHok95ImLPfaDiz3XrYc9TWOHPb7Rkz0oqI89WAyOPZtCkT1qVYg9P8OAPXRQiz2tG4c9xHx8PRMRfD3McnA9LM1oPV7cWT0EFF09dhtnPUYoaj3DV3E9eDpjPYDQgz2xIYg91ruJPQGZhj0WsoI9izuBPegxiD1zd4w9G6GGPU8lYj1l9Wo9qVN3PS6Zdj3vw2o99JFXPetqWj3AMmU9oRhdPUfBaT01nGw9H3pyPZE+fj2DHpE9v2yEPb4saj3PaWs9DP5vPQXrhT1Lwno9jphxPffceD3uuoI9MSuFPakogT2aeIE96bFtPYmAWj1XKl8970dwPU2lkT0CI4o9JaV/PZjSgT35CH89V1mEPZbEiD3dc5E9k0qUPVSzmD3Th509YOKVPcaLkT2vM5g9+5qGPa1bgj23W4M96DCKPXaujT2y9JE9sUuYPYdKmD3TcZo9en+VPXEplz3Okpk9hvaRPU4GnT1C76g9y7SkPbOjmz04DJ09vTabPSvgoj2F8aY9zSykPVQVnz0aTp09+punPWCanz0Rg5k99seUPS++oT0ORp09Y/mZPYTSpT0llKk9IrS4PQiotD2GJbc9pLu1PWxisj33j7I99tXGPeCwsz3akac9GU2jPW26rT2jf7A9rwatPR8+pD3aUKo9JFWmPVmhnj3bkp49D26uPenJpj0gAKA9R4eiPbgqrj0oWbE95jG2PQAeuj2MXLY9uxi3Pbu4tj2larY9izewPdW7uT2nab09i1yxPRlToj2z/Z49GiajPQsWoD0XLpw9XLqjPR1VrD2HNK89Tmq7PRCAvj0H+LU91aetPWoImT3r9pU9rwGhPbhIoz3ITJo9AjyfPWohqz2HgKY9EXScPdxnmD3R3Jg9GBGTPXKMjj2tbJc9ZwmePV9woT1glaQ9JsShPVF8oz2m1Zw9W4WUPazyjz3uF5E994eNPcojjD1kB5E9V4eRPdUDjj1ytJU9fSKlPaShpz1m+6M9hbWiPdKZoD3lWqg94VWaPXbqjj3Siok90YaFPUedgD2r7Ig9C1CPPa6/jz3PhI49kPWPPYjEjj1E2Yo96hCJPQw1hT1BsI09UpOJPd8egz35u4A9RgWAPaHRiD31P4c984mCPYYEgj21y4w9CAGdPdsgnz0vcKM9vzmwPcTmsT0ItqI987uGPRhOmj1DraA9uZiaPbEQkj1Cf5A9VTqAPZteYT2NLlc9eTFePYS0ez1vnIw9+wSOPZ4chD1BKm891bp1PSp6dT2VJlk95WZuPc/VfD1sano9FReEPcvDjj1i7o099qaUPVNSpD1eOJ49kPiXPd6akD25dYM9KSuLPR0bjz18gYs9KSyHPYU7hD1cyoI9MsSGPe7qhz1MQ4k9yZ2KPXtPfz0u+Ho9jvqFPUkEhz02Jo89d96WPUUUmD3ikoI9qkJvPX8oYz0xyVQ9BbtIPXbMPj3iezY985RBPTpcRD2/eTo97Bc5Pbr2Tz1QLUM9XmYvPXN7MT13AD09YCtCPbjEPj3mWSw9E7wsPRbzLT1ZUyo9kSgoPfgSOD3hGEU9ETo9PbSSLj2I7Rw9HccXPbXlDz0JmOw8hMK4PDYmqzxH+J88ALOdPMUZpjxWBbE8jDi4PMHKtTy/gLY8JKG1PN/+rDz5mLA8Ea+3PNthtTx7fqo8P7unPKg8ozwZ+Z08XsuxPPafxDwXe748i7e5PCmjoDzQfa482wC0PCH/sjxtJrw8xGa9PBdWuDxairM8PiO6PAbusjwRHMA8IyHCPHN8vjz62sA82ja8PNwmvTxyrbY8UUK2PHEXtzx08qw8a1G1POZW0jyYtBc9V+w0PapBjz0xMvM9OiNBPpS5PT4x7SM+O0wjPmIVHD4WyQ0+28kCPs/w/T2hKiU+3ZwpPvQuKz5FqSk++1glPg8lIz7s4Rs+rNUZPr1jGj57ah4+O5kfPgLiHz7qnyU+bd0bPmHQGT5NIBs+cPQdPrXEGj7Fqg8+xkMWPuhlHD7Z6CM+MmIPPjAqJj7ViVo+PCBDPt4+Nj6XTU0+4WtqPjH6KD4mVxM+PhcmPq06LT7mOiw+2h0vPrQdLz5xWig+vj83PiVBPj42aTU+quUlPlvWJT6/fSU+ve8mPpCeMT5rpE4+H+x3PuzUhT4pbls+5LIsPjnVNj48Gz8+zw84PnqBKD4+STE+Fro0Pi6YPj4t9ks+t+8tPixIQD4pHk0+KI1EPgkRMD6hsSU+HdQrPn+LRT4+Lkg+5+M2PmhXND4NyTI+tw4tPmvWPz4y0EM+1/tJPtW/Oz7X1SY+MdU1PqtHPj5F/j8+Tmw+PhK7Uj6EQYE+ZTaUPrBCej76Z1I+DzBaPi4VVD4gqFE+rFUsPoKQND7r/TY+bEE7Phz2Kz4vCCY+6WYlPhsqNz4gOzs+1VE9PuQESj4Wpjw+jXItPt1xSD6W1jQ+GgUuPjOWNT5eJEs+LsJCPqnLLj4MfDI+4eM4PnjYOT5ERDs+zhEzPteYND6iMjY+xagrPkdZJz4kNDI+FEcsPujZJj5gbjE+fi9bPmuhZj4c/DM+KtcWPq03Ez7+jyQ+iNUyPt9eND6AUS4+LhImPv/ZKz77vzU+JWBAPnO3QD4zrSc+Mh4vPkouLj4uOSM+4L0WPrt0FD5T2CU+sQcxPlT/Ij6SXiM+2XAkPlTOJT4jAzA+qSouPsGPKT6uuTg+wf0wPqIBMj5IoUg+9i9cPpwUTD5O8CM+MDQ/PpqnQz7dezM+BrQYPn48Iz7M3jM+EQs5Pv3VOD6iFTA+OacTPsoqGD4fNSQ+6VEkPmBRIz7kdiA+pYAYPop3FD7kAQg+Lo0ZPka7IT4u1y4+UWIsPtDmMD7EqV8+rf5pPtwpbT55sFs+RtRCPjo6Lj7cpxg+Nq0VPi4mHj5Ihh4+e38mPq8/Rj4GjEk+JHk2PrcQOj6360Q+CCBSPsUBST7EOUA+M4BtPqhIbz5lmVY+MRRHPmsLWj7/p2I+5E9gPq42Vz4gQG0+4mhvPgOYSj4fbEQ+tKExPqOBND4MKTc+Oyl1PlmpYj4W9zg+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf2iCkj388ZE9Fy6LPb5Pij0CY5I9bZmYPfvtgT3u+oA9F8WEPQJEhz1h5ok9i2GBPctEaD3gTlM91q5RPRj3VT1fSVk9LsRIPW3cNz1p+TE99FYwPfEoOz1DuUA9m7RCPTBLWz2s4lE9YXZPPe2sUj0WklI9k6hZPW5IaT37zWs9oExhPbd9Wj0qVVM9g1lNPUheTj29hFQ9EHVTPZPoUz37L189gLVmPW4AdD2U9YM9U5qSPfZxiT2h0Hs9lgdsPWGSaj3fdmY9ACBzPdvObj3lrG894m9pPaztdj3CoIA9t82FPW99jD36ApU9BCiTPQ2sgD1tEXk9aKB9PUd1gT2xBoY96jyEPRLdaT3qEmc9BY6CPY9Miz1lKJU9BU2VPZ4EjT36rYM9VgeFPZxkgT2lv309qTuAPZFPhT0AdYA9Sv95PWMMZD0Dmlw9PcZdPdM0bD2PvYY90t2OPSxWij1S8oU9td+FPSWVhj3vRIc9CgGKPZ+rjz3OFJI9kaaRPbkdmz2woKQ9Nt2RPWojnz2bbaY9xYGgPas8lT1dRpA9biKUPXQknz3/rp09IFCXPcezij3MTIk9sbSEPcCQfT3Mnn89vgR9PQMYgD3iWow9U0qKPdBCkT2i4JA95QiHPVQ+bj2FLXU9+O98PQJxdj1fn3c94yV4PaAccz120XU9MZduPRXzWz0H0l49kBpqPZOjcz2hAnI9+GtdPcMDaz1OPIY90+SHPZTSiD34r4A9T1KBPT29cD1VRnc9tAlsPSd4Xj079mY9qrtsPVIVZD3RwW49D9d6PSSjbj3LnmA9bGRiPX8eZD0ah3k9tgeBPdmegz3JsHk95vJuPSJ+Xj3MNWI9hOJqPe1KdD1lR3k9rqxuPZk8bD2se4A9oPaGPZtdij3/D4A9iwNyPTITbz1293Q9r/96Pe1ifT0tNYk9/q6DPWOxhj3G0X49vXx8PXd7ej3zR4A9xgqLPbwMkz0yyZE9xq2SPdkxkj2LDaI92dimPcJjpj1AVpk9rQWYPUY9nT1RHY892VuJPSunnD1Oj6c9sUynPVQ9nz2DCJs9o+CWPUymkT09B5M95GKYPfNSoT1qv589F+ysPSNpqj2w9Jc9KxORPSoEnj3AO6Y9kdufPXHDnj1pnJg98Z6UPXNgkT2O0JI9qY6aPQjemj12ea49qFO4PaznvD37lrU9cY2zPWahuD1Hdq899f+vPQrJrj0qZa490BGkPXMWkj1gyZg9JY6dPaw2rj1q7qc94wiePclJpj0FvrE9IaCzPdrZtT2x16Y9qi6lPb/0pj0G6aQ9mqWjPdb7qT3Ztq09rAquPfsAsz0B8rA9pDSyPQYEsz0P1bU9oEa4PS7Gxj1mYcA9bNCtPTPzqj3dB6c9NRioPWQNoD3+O6M94+KmPUjLqT2TAKw9aRGzPZ/Dwz1rTbQ9kHyqPTQOrT33hqY99rqbPTqilT2X1JE9sTeOPd19jT1Nyos9b5GPPYTumz3JBJU9V92VPVYgmj11nqY91HWjPSSbmj0gr6I9Hk6ZPaeYlD34sYw9ZheJPT6nij0QAZY9jjWkPci+pT359aQ9JyGpPbqctD31DKk9RaelPbLNpz0L5as9mDqbPXSJkD3Tq44970eGPdPsiD2ONpA9xUidPaFplT2mp5Q9F2SMPdCmjT0u+Ig9Rrh+PZL5ez0vaX89WRKBPTIafT2TMHM9sYF7PTuniz2R1pA9+ZWQPZgKkD0tiZ49SA6uPSc+mj2Z+pg9LVuYPaUliz2wFI49JjiTPUVHkT1FYZg9Ac6XPfUPlz3P3JI9VBSEPdXdWD3o5lI9Cm9HPVBlTT25tWE9P0mJPXAfjT3t1X09dxppPQuVYj328WE9L053Pb0Hiz3IWY89Qw2PPXaujz2XfZk9vRaZPb8wkD1hkZM9a6SOPdMUiT280Ik9dEuSPcNzoT2u8pk9Bx+IPXezhj2WMI09ELWTPa9JiT1E7oA9tDp4PSNVbj01jW096ACEPe5Oij0wf449zqWHPTBUgj04mXU9MbFKPSGLNT0Paiw9ilEnPbcAJT04Syo9imxAPchLVD0AClE9WrFNPcjQST0YmTM9XZ0cPZegIj37dSQ9AC0kPTNiIT25UCk9WlAxPTJlNj3kjDo94KhJPfc/Tz3Abl89i6p2PVU+aT1wXUU9PHQtPdNSKT12/Pg8uFK7PLaXpzzxq6I8/2yhPG2Lojwf1qQ8Cbu2PLOhvzwtWL08Z0+6POtatzz3kaw8pW6zPDOVsTzffqw8pJqnPHCOojy4SaM8QIqqPGoNwjyuFso8J6a8POYPtTxrIKo84dunPL1YqzxS9bo89ffDPEJ40DzcxL88Sdq6PAD0wzwa5co8oOrIPO1ywTxWK748/J+2PHoovzyutcU8f0POPBnivTzmirg8a6OxPGBdvjyEU+g8Hu9KPfY7vz0Iquw95hgxPkQERD5box4+OfoIPhAyGj4Zpxo+qOsaPmUZGT5arBs+ZwwkPpLsIT4cESI+6+QePktcGz5ZLR0+T/0ePs4fFT4KnBg+9EchPuobGT58dAw+po8PPsjzDT5amw0+i/ESPm5QFD5LNRY+KesHPlZBCz4LhRY+jkQnPkrAKz6bjUA+7kFAPpS1Lj6u9Rw+wZo3PtCgcT5pKD0+1yc5PsmoNz5biDg+xEk1PpqoNj76Sz8+AakqPg+SJj6S8zM+tLs+PsRIPz7cJik++6AvPsV2ND6XKjA+sygrPkNERD5/OWQ++KZnPnzsaD6lSU8+6EMvPgbiID6x1SU+RRgrPnjQMT50pDY+29w2PtsJQT41GC0+GdI9PlcwOT5uZyQ+9n4gPoDwGj7lOC4+c4VCPqzLQz4+llU+I4hfPs+MUj5ggnc+0IVYPr5YRT754U8+T1ZOPqb1Qz76FUc+kypbPsKBeT7bTn8+ItSCPoXagD6VkE0+uFwyPlzfMT4zTTA+DBcnPpD5Hz678jE+MZI7PmvROz6lQTo+6u83Pn4wLz6dHEA+wpU9Pk5PKj73FCw+0ngoPvaAKT6pXDs+syEnPqg9MT4iczk+UvpPPuIpOz5aESI+OZA2PiGIRT7+p0Y+UVsyPuQGIz4Zjis+wrg5PgYCMj4emTM+ONw0PnyyMz4AmSk+dzo2PlpZRz5UpEc+pG4nPkWcID4ewiM+VrgmPsvVLT4rGi8+Z6kqPtLgLj6xnSs+uf8oPnmfNT4vJjk+tnZAPuiLVT66I0c+4T8xPhfFPj5daEM+TE5NPvgEPj7d7Bg+HRMiPrZTPT7jYEA+mQ9APla6Oj4kFiY+dEUyPlFXLj4RUSA+cV0mPmrHVz7S80s+slY0PhQlQj7cfEU+aCciPp1aGD6G9TE+iMMvPm0KPT7YG0M+rPI6PtFpJT6OxiY+guM3PpotNz64hBs+Xm0cPqH7Iz5zhhg+9KYUPkjUJj7L3SQ+2EMpPhsULz6H3yY+azsxPvtaTD4YToU+cySGPkCvWj5JvBg+X64MPvKeIj6Tbyc+DrUePibjGD5d7hg++dY6PqjAWD7RMWs+IUZgPoi/YD7t42o+Ae9TPu+SVj7N5mg+s3llPlViUD7UuD0+6wQ/Ps5/Oj5nLjg+9sozPm6sKj7H7SU+eDQuPtifNj4GlS8+H2g3Ph35XD4MRHo+t6lxPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8Lpoo9zY2LPSq5ij04tYM9+sCHPSoBiT2UiYc9VfeJPSt+jj1l94s9lT91PbA+az3BFmU9YllYPbwLTD2Niko98b9MPdDhSz1oIF09EpI/PVw8Oz1JkTY9b383PZ9sOj2+9kA9EUtMPZdxQj02O0k9aFNbPe/3ZT2a/mk9YZVyPRKCZj2URlc9Sv9kPfBDaT3SbWU9NJBlPSdcYz2/1GQ9xlxrPRQibj00xnc9HJZyPY8cfD1C3Xo9Oy5rPeDVaj2pRHw91mV/PbmohT0Uv4M9sCWDPfCWhD2fGI89TAyTPQIfmD30DpU9WpiBPWg4gD2PgoY954+EPYNLjT1qG4o90dRzPaYBcT1TEHc90hyGPVhRjj2dZog90NKLPfKxiz34WJA9j8uWPUaCkj3q94Q9PjuNPS/Djj0OEpA9PDWMPZOogT2BEXY9C9mCPaojfD21aWU9R7dmPWbhbj18BXc9RxdSPacJYj1P8Xs9796DPRVBgj3tCo09ylCdPZn/pj3U+6s94rKvPV8coz363J89opmFPa98ez2X54A9nJWFPZk+iT1m7449y2KJPceOhD1tCoQ9pPGNPZoikD2GSYU9FpyTPaBTmD0eUZg941yaPesGjT1qiZk9f6CPPQLafz10m3A91lV/PQm/gj2deoo9NW6GPaaNhD0aPIg9+n2EPQ5aXj3WCGE9Y7x1PZtaeT1RVXM97kRrPZSvej1LAYc9NuyHPSuNiD128449fH6iPXqUnD0lyIM98riCPfkVgD22bnc9bPFrPT3uYz0B/FE9DwxfPZR/bj1Sb3o9TKWBPd4Saz3Em2I9p2B8PeIJiD05RYg911OGPbcVfT1fi3I9B72KPcAEkD2QtZE9+Bp8PWmrZj1SoF09Sxx2PcsShD1osXA9xNFcPUIDez0BI4g92SSSPbC8mz2cJaM92W+XPXkahj0oHpM9GnWTPSAqmT3dz5k9VCSYPeFFpj1jQKA94XyMPUcNij0iX5Y965WiPdP0mz2Pu5A9Xh+VPTw7kz1oT4o9MPCFPQJsnT12i6s9ldGlPXVunD1cL5Y9D36dPSlzrz2l3qM9CbGfPQuqrj37v7E9A2GqPSLNrj3vja49/cyfPUNdnD1Y6Zs9fiuVPe9tnz1V2aU9omGgPad7lT2wiJM97b2VPW0Nlj2v/KA9yZ+pPRbpoD3Xap09hwuVPdJ2mD3285095XiiPWOcoT1ne6A94hKVPZrRjj3SuZY9wfOePdvbsj0GVrY9+EKyPXB8nj3FTaA9yyurPQCMoD2iFp49qsSbPfyEoT1Xyaw9Y4isPY6Drj01nq89ds6uPWhTqz2nBbY9GBW3PfQSsT0J7rI99Zy4PWcopj2PsZs9PVylPS5PoD0Qz509ezqUPQ8GkD2DtZc9wS+kPT2OpT3VuKo9hjCqPQR6pz10k6I915+bPUzpmT3Tzpg9kQiSPeGXiz2ZJo49QaaSPeBihT1VJoU9Ak+GPTrFij1HZog9wpydPeHmrz3sy6o9pAS2PZIXrz0O7Jw9d7CXPfoojz0cV4s9seWGPfTziT03f5s93eGwPZKWvD2sBrE9KP+nPWj/oz3yOK49AFaoPRcKoj06dpo9gqqSPcHknz0ftJ09Ix6VPTZckz3/F5E9rReTPXSTjD31voo9vBeDPVnaiz13Mpc9gi2NPadZcz0L8W09G6tlPYgHbj3ceHo9K5h6PV25gD20AJQ98RKUPVuLkD24BJM99dWUPX3OkT1lmo094I+JPfn3iD2/n4o9tnmRPd7DmT1JQpY9P/6dPTmSmz2rTpc9CdCMPVv0fj1pbGU9X8pQPd6aPT3n8EE9/QRhPVUGhj2ld4A96T1uPXClYz2/0GQ95PlsPXjVfT1kkos9o1CKPVcoiT1ZyIk99jKKPRtThz2x13o9ypqSPUcBnT0Oi6A9gIqiPaCimz2Y1ZM9P5qDPaD1bT1Gjm091bN7PauGhT3QoHU9y65oPa8dYz1numA98/dhPSA2Zz2C4nA9Lc5yPYOMZT3BtWM9ZkBWPR+nTz1RhUg9DPlFPXP1Oj2FADI9wWQ2Pat+RD2v1U09pStNPQ3ROD2/jzM9x/QtPa4oID2e1x09JuAkPf4iJD1pjCg9Uxk5PRu4QD3wRjw9TZg1PbfeMT1cLzI9YxUwPUWkIT12oCM9W3cdPetoGT3h6Pw8QQbuPFo8xjwndbQ8066nPJNXpzyyYak8sJ+qPNXnsjyh0bw8qOvBPNONuDwT66489su1PJ14sDxOraQ8guWlPAfJpjyRrZc8q1mfPO+DwDwtb788gRvIPGYK2zwiT6w8W3qqPFO1rjwWRK08go+vPHZ3tjwFlbw861LBPKxlxzxwysA87oLVPGBE1TyxFLI8yGWyPEEduTxX0c08XC/GPMf9xTyNgNg8FxzaPDdVBT04rCk9xpE6PV58ij2kDgg+F1kQPr8KIT6UNh0+EaMbPrKZHT57Txw+01wYPjjpFj5BCB8+A1gfPrHhGz4p8xw+7Z0aPpZ4HT6rqSU+xOwdPljJED7neQw+A/ETPlYdID4GXRY+HjsSPrLVFD7XmQ4+KvcLPuZaCD4QkA4+ZVgBPh1yDz6Vth4+FvscPoGRHT74uSw+E8M5PphAPT5slyk+0xsbPsnRET6B2SE+8FA6PqGJTT5gYz0+MGc0Pv4SLD6MDi4+K90lPvPAJj6anys+8H0pPs2CLD63qyg+CoErPh1bLT6yRSk+dDMlPmuvKD4jnSE+AMowPlrWND7oECE+nn0ZPkiZHD4nsyc+RPErPlfdJT4apyQ+qu0iPlRyHz7LrzU+6UwfPutXHz649B8+UcofPjlWHz5MNSU+OmtOPiSaQT4K8jk+3z9DPg8uQT7wXD0+btxAPnqGWD7kXVY+BBBNPtnQWD7ZEmk+d1iXPlGtrT7sVY4+Oth0Ph3HRz5jXjs+gHM3PjI7LD7SuC8+/9czPnY0RT6xmTs+fVQxPnzNMz4LnC8+oJwrPmoDJz4k2zI+54M1PpQQID7elR0+RJggPtMxGD7kwxk+JdMhPoCWLT7M1zQ+N/85PqEMYT4mhCI+AhkdPoHIKz7dwSI+IdUcPo7gHz7HwBc+4CAmPpbCKj6+byU+DJoePiTsIj6Q0iw+uT4jPh3VGz6e0hU+2VQRPs5qEj57gjs+PP1NPm89Qz5BISM+XIAiPo5jJT5SAzI+5A4+PqoSSj6D1kA+9b5bPvu6YT7VHlw+rs47PusTQD7D/WE+XL1bPq1NVD4elzo+HAQmPls+Pj7BGV8+rWVVPoyrRz7RZiQ++xsePsYuHj4L9Sk+fk0pPqOxKT7Q7i8+8146PvJJLz4FOzY+WV49Pme+Nz6ZSTA+WB02PgBBKj6QgDE+16VDPhwBPT7sqS8+8yo0PqU6Mj7wKS0+mXAePn9TIz4r6y4+E3EnPnp9Hz7hWSk+pvUiPn1EIT68uhk+eI4XPu8uBj4eqfk9H1YQPtQ2ED453w8+87EVPt6/Kj5Z9yA+gMYfPvL8ID5WHiQ+RHofPiBCHj6izz0+nOFbPosdWz7SZFE+iyhPPv2QOj7x3Dk+VOFKPu8NTT7R0Eg+a6tFPmd6QT4y6DY+i3RAPkqNRD70F0w+a6s0PgU1MT608EQ+AYMaPug7Kz6031A+jvdDPjvQMz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/tSWKPTL5ij1SApA9+AyQPXWPhT0du4I9A5OBPSYugj17qX89yvBxPdvUXT0OlmM9TO58PadhYj0FSEE9ij1LPQtjRz2JgkY9wXpFPZiBSD20rkU99Oo5PVQrPz3Ty0I9Tmo/PQUOPj1oZVU9wm5lPXW3cT1BtXE9NztmPTYrXD0mn1E9uC5mPQ7pcj1irGg9UahpPTAlcj0WQGU9gB98PWLugz1b53Y94HZ0PZ8xbj0LhWs9kW9oPbbvZz1TlXE9UXx2PbLbgz099JA9/VWTPW0Xkz39M5U9ZXOVPQ9TlD1TBJw92UOYPT6MhD3mIGw94WNxPf46ez1jdIA9XW15PbyNZT2fbmc9he15PbPsmD043Zo91QeSPfDzij0pqoY9W3eGPdSAfD3t+WY9NJVqPU0bdT2+e4o97kKOPTO5jT2f3ns9ibR3PVkmaT25PnE9dqF7PYxagT23IHE96ThxPXFCej0483c94KduPcN3bD2RnXI9sK96Pc04jT3NWos9vjyPPdXplj2rd5E9i4aAPSy9gz23G4g9oSqHPbXGgj2wjnw9Q9x4PbOvgj3QjIQ9CSaMPWOMlT1zfIM929CAPQgaiT0B4ZM9m52YPY8Clz0lQ4g96i9/PUA4iD209IU9yzF9PfvBbD26mW89UuOOPX81lj2RcoQ9zwuAPfRefD3nP3I9m7eAPWNDiD36eog9sfKJPQL1fj04wHo9Xk+IPSL1jD2MXJU9jbqUPRBVkT1LfYg9LqB2PdYvaj3gqW49z1lqPUiXXz2DynQ9tgVdPRA9Tz1uUlk92kddPe27VD1WZV09tm12PYa6gj3/MXU9kd9mPZQacz1+bIA9kLh+PcIndD28w2E9flZaPRJ0YD3uoG49fNhuPQ/CWz0DnmM9YstoPS0rez1T4Ig9Ov2BPSeDhj1nr449JGOPPZ5bdz36ZmE9O7mAPQ2shz16WY8953mTPVWjlz3C/JA9SEuQPSmTjD1Dm5M9gC2YPZ4Wmj2dQ5Q9fgGJPWVNjj39bJg99iaaPRhwkT0KlJM9c/6ZPXz8qT18Dp09JK2VPb9ymj3u3Js9DbScPbHgmT3FaaE9tJqkPXLgpj1mIqc9lwCnPUeIlj3i5ZU9CEaXPbgonz2iC6U99o6ZPTOBlz0mZZU96NWUPUDamj1355g9AGGQPXz/kj2QO5g9WWKYPWrklT0QN5w9ULeePYPVoz0g1589U9yePX8+nj1u85c97WmZPZr8nj1eMp89lOmePWcYmj0/XaY96s6tPceWqz0MQKc9XG2mPQtYpD0aiqU9PSSsPYs6qj2lnas9b6asPY6uqz0hN7A9ETbBPQYGvD2kQac9ljalPa6LoT2yq5Q9JFaCPUq7gD0evYk9UFGVPRLJmD0ZOpg9uV2ePXcrnT1tyKA96U+bPY0jkT06cX89UmZ+PdY4gz1c+ok93i2LPWW0jD0TzJA9N9mYPbSNlz2HHp49O32XPcC3mz3nEKA9HcegPbPxoT2Zwp89LXCUPaRgkj0vHIs9eCaAPUSXgT2b2ok9KCGFPYUWiz2XPpg9PoGjPVeftj0q9689CGqyPTfYqj1ph5s9LSqVPU3Skz04rZY9XTadPbX5oj1j/Z89cWGnPcwXnD3uj4s9r5+EPSCpiT0HCpU96XCpPapKlT1xMZE9z+OWPbfgjT0kaII9h/d4PctEgD05D4w9WGaMPQrchT0quIc94KSSPaCskz0HwJA9aHOOPRVbjT2oDYg9ed+UPdgPjz1TM5Q9X46TPdZYiz3b/ZY9y7GrPa2bsD1ZpaY9ESqXPXl3jj1uc3E9TfBfPfhsXz0mLG89gfuBPctaiT2Pmno9UMVnPdsmZD2Vhmw9SXxyPW1Jdj0dCn89F+eJPQP7jT0CJYc9y3SFPXqafz2jMHE9Czx8PfMIjz1ThpY9vpiHPQ9tfj15w2I9mvdZPV7QRj29j0c9VhBVPTU7Wj00jVI91mJIPS+KSz3KF1A9MV5RPfWtTj0es2M92F1rPZqyaT38Dl89m7lSPdO6TT3fA0M9ATs9PXKkQD0Euz89ElxRPUtqVz1XYV8962RQPTm0Kj0hLRc9+yYlPTPuKT3zvCk9yNslPVm7Jj0aqyA9yTowPQyfNT2EsT89cVkwPelNJT2dQx09GhcUPQJWEz1yPhs9zYghPTAEJz05kRo9ovHjPFfx1jyEess84jO9PMYJrDw6kbI8lAS5PLBKuzzWKMU8v9/BPCxWsDyiRrM875a1PNMOtDyZaKc8e1qhPCrRpDwzuq08kvasPG3jrTzX/K08hJuqPIderDxf+7c8ttWwPC0ysTy8I7Q8jsqqPIgarTysOrQ8kTCoPH5QsDyVV8U8jhG/PCDyxTygvsA8PDfEPDfUwTzrSL48F0bSPP0TzzyjWdg8kbjWPHv63jwGuwA969gCPdQv6zzF/t88DsYLPb0XIT1/BYQ9NsoIPm+5Iz6t3Bc+8MUUPhWUEz4LUhQ+amgVPnh6DT7ZdQ8+lGcXPnZfHD5g/iE+ES8SPunbEz7bjxc+pBgQPvxmCz6LZxU+StAaPmNnGT48syA+NBwWPqRKDD7rPAU+i2YIPg68ED4upxg+kJYdPnnPGz77NSM+2C0jPgUCET7dcx0+0AwpPrLVNj7PUzQ+8NUuPu48ND4iNEA+3FQwPprPID5lpxw+Rr0ePhEEEj52gCk+b6QwPszCIT47wiU+AXsmPrXVJz4TCik+/n00PsfzST7ZQTc+/Ko0PvB/Lz66gDA+4yooPo4+Ij6LtCk+X70wPjRmMT5ehC8+UjIxPov7LT62dTM+cusnPmelPj7LuzI++Q0qPu9mLD7ZtCI+PnAoPixLMD4z+iw+pHw6PkBwQT58fjM+fystPgjIJz7Oc2Q+dsCVPqfulT5YX2A+8DpBPoEAXD7hh14+BWhCPpQwLT5sySk+BOMrPl78MD4vYTE+VVc1PtsrOz74ADc+B85APs5fRT55gio+77wnPuEQKz64GDQ+xIA4PkdHLD6xfDI+8e8pPvRkKT6oUCo+t8QqPi4jLj6GBjg+4JkzPnmBLj5WGTE+ulcgPohVKD74bS0+BrIoPml+JT5qiSM+NNsZPsOWHj6lhSg+dV8iPv5mGT7JQRk+6gsePigWIT6FECA+vDoVPi5OEj4JTxc+R6A1PrMoRD4nsjs+0norPv7FHD4Ocho+9h8bPjb4OT6Y21E+1q9PPm5xbT5/9Gw+HaNWPhz2Nj5kfyk+4BVKPlusQj7UcUM+8tdOPvYhSj5ojk4+67tqPlJ0Vj55dE8+D9UqPrCJDD5FZSA+AoEoPpqaMD5UfzM+NyQ1PqF5Lj4/Kyg+fGAkPvnDOj5tUz4+l309PpbFPz52DEk+fbs7PhZlNz67DTc+5Q8uPjfQGz566hY+SdwePvfjKD416ic+x7UmPg2XKT5RuSA+iLobPm+4IT4fRSE+9iQXPopHDT5fiRU+FVQUPrPCGz7ZRx0+tjscPnuVKz5PjE0+5VlJPrV0Kj59SyU+54MhPjOYHT4xyhk+BO8tPscdSz7xkVM+7rBePht5Rj4Cfh4+gl45Ph4qRz5Dzjo+GelHPuQHSz60AlI+brVHPqsuQD4vGEE+5Eo+PlNuTj6fPFc+rqQnPsv6KD7y3jY+fJFLPlgaLD7UHy8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3dBjD1W6Yw9JOKOPbXLjD3ELY09rzORPVP/kT3A55E9T6WPPdVqcz0RI3o9uteEPUgUgz2FI2M9f6JWPccPWj0hJFg9vIZkPdnPZj3P/F49ObNRPYkaQD06bTs9zTM5PX/TOj2Ojkw9J6BhPaFfdD2Mkmc9nAFMPYz+ST0X2lI9itpfPdeeZT1yu289C2tsPTpkcj1pBIk9owONPZDaiD0Vf4I9nEFyPet7aD0qPGk96bd3PVgUdz2hOnc9YeWJPeMciD2c+IQ95gOIPV+gjj0MT5U9qKCQPTgojz28CY89SdqXPX/OkD1g8HU9vZ9zPQQ2cj0VPms9Vc5nPcaScD0V/Hg9ItV6Pa+ofz1PAZE9Ub6NPZvZgz04Eng9gDFrPfsQbj1sCGc9FWF5PV7ZlT1z+o89rRaQPXp5kD1UMog9ynN/PWLngT30RIQ9ruSIPd0Nhz2UPoY9GSh7PfVKfD0kWYQ9HZZuPdvQYj1yVmg9dj52PWcYdD2ysno9taKKPWFglD2JEpY9RvOJPdN0gz13i4o9EVeGPZrzgT0WpIE9qlaCPTRmhD2CGYw9+v2IPTT6hz2m5pE9ixmXPQ9SkD3W5Iw9uHuGPe3siD0HqIk9AIqNPTvWij0pzYU9w4OIPfO/hD3fD4c9C46bPQ2PpT38hqE9fciQPeRQhT1e1Xw9wHt+PSJffj3UIoE9B8qAPYzzeD2kR3M9q3CDPYK0jT2uGow9oJWVPafymj0tiYo9lsNrPSrIXT3Pc2o9f951Pe64bT3ca1g9Z+5KPZZ5Rz3ARVM9XOZqPQGNcD2vQWY9dg1yPZ+8YD2h7ms9CHFtPU5DYj2PYGQ9EdRtPaNxdj0DuXE9HtpoPeeiYD1oRFg9nclqPfWZeT1s4249WBdqPWtacT3TvYc9+AaRPW2qiz2SUo89WpKLPUpLhD0naXM9dr11Pfvijj0P6JQ957+XPbR3mT1G1Jw9hI6ePWAvlz1dlZo9jKKlPVO3qj3Cn6c9NGaGPdsCgz3NI40948+WPSSxkz2ufKI9P7iePe3Enj37B6U99c6ZPfLmjz3QNo89aCSSPf4Ejj0rlpU9VMWYPTKnmz0Hs6E9+celPWWBoD2OxqA9cJ6cPRh9mD2i8Jc9H0OgPUnpmz3nRI89ky2NPRHskz2BKJg9+uWlPd4qoj3fZ5s9TaenPZkHnD07rJs9t/GdPQKZnT36B6k9f8auPau4tD31WrQ9L+iuPdu3oz0Q9ZQ9vxyXPRHQrz39j7Q95C++PRPYtz3kPas9TbehPQHDnz18KqY9wwS3PWvOsj02+qY9POyiPbFBpD1tDao9HZ28PTkkwD2KQas9VuqTPfrzhj1Xc4U9lNKBPUb9fj03aIA9iOqOPX+xmj1OW5s9fHKgPTLNoz1f7qw9ZD2gPcKKlD0bPI49vgSAPU9mbD0mtm492ZeJPQmNlz3+Dpc9Y0GbPcWYnT2iR589mxC4PcV+tj311bU93US1PYWzqj19hZg9EV+WPa1dhj31j3s9N+huPQcTej0Pl4c9SBmHPSJ3kj0Dq6A9H22sPWZkpz2C8qA9WrKcPXaMkz15D5M9vZaZPQFAnD1l2pw9AtqePc1WoD2NiZ09D6KWPcJAkj1IWX492RWDPcdckz1B/pk9CwqlPdpWoT2xxpI9twd7Pdq1dD0wFXE9c7dzPeyQhz239489FQWOPXAGhj0FM4A9VziFPSWphj08EII96KKMPf+Ukz3hvZQ9C9+QPZPElj3L/pU93t+WPTDGkD00sY491N+TPR5uqz3Paac9fDOUPZlfdj24bGc9yylkPemybz3ixHw9rwCGPYjyhj2DOoU9Vft7Pa69eD3FO3Y9pFtjPbBfaz3R+Hc96raBPWnNij2jnJM9WB6NPaDNhT3vxYQ9b9yFPYhGjD2UX4893uyEPdddVz3wkkU951ZFPR95Sj0gZko919NFPQ3CPT193jw9MwxBPQJZXj0EYXY9beduPRTCZz0or2c9+EhmPYaOdT0wh4A9rqFxPcG8YT1lRl49HkNUPWJgTz2Fw009EYdGPfEaUj1YGlc9vmZQPcU5MT2d+iM9+r8iPVOBIT3uuSE9YPwsPbnaKD3Erh49GE4bPVr9Oz0g8jg9N28lPf3DCz3+qgQ9UHUNPQunAj07Xe08NqnXPFNU2zwnvc08Yri7POUCsDwKN6w8vbukPPN8pDwMiKY8YTasPPGRuTzTXb482cC/PLUJvDwc7LE8wtmpPLl7oDxOH6k83fKpPF2BpTwIgqU8/fq0PPsErjz3jLA8lGauPALHqzyslq080YqyPOBmszy9fbM8nCmuPDLPojwWwKc8W9+wPMQEtjzW8rc8Qbm7PIS0uTxFPrg8A5mwPCJmwzxnV8U85nPHPG3a4TwU2OE87s7RPOer3jweN+Q8DFD3PAexFz0RCDo92JhbPZjg6T1l5849e8+4PX1B5D3B+qI9IW67PaYY+z1sTwo+WIwTPmtFHz5icxM+EPMQPs6ZFj4ckBw+wHAYPuymDT7VMww+318SPqZBCT78NAU+gF0MPgQJED4zAhM+bx4cPt9RGz5iuw4+HrENPguWED7kdBg+gusePpHiGj6ClRc+fzMcPlNvGD5lHws+/+QoPvyqLj7u7Ss+NBAfPnBYIj77ziw+O8U+PhBUMD4XqSY+uC8SPmgQGz5ecSY+HjU5PuocPD5zmzA+tRkwPu9dPz4olTI++MIaPqesLj4qkj8+QaNBPsw6ST6U1Do+Gk46PiYFLz5EUzA+38gyPrTxMT7ioyA+0F0xPlJRQj6BZUA+zoZAPqv5KD632iY+1b07Pp7GLj503Ck+fDIsPoPBOj51tEE+aOl3PmxdaD6fBjI+N9soPrwrHz6X9h8+i0c8PmYvgT69wng+sSNQPv1RJz7RXSY+VzgnPnb8Hj6yiyM+NOInPksAMj4Y3DI+eC89PtXLNj47AD0+PPQ/PlrNPz5edSo+U18lPvUKLz5UxS8+fakvPtmoMT7YJx8+5hQrPgedKz62vzs+SrlBPrEvSz4d6VI+abhCPiuHQD4VLUE+eXE9Po4zMT41ejs+xMQ0PkanIT6dRRw+QkEePplFMD45uTM+naEwPm8OLT5QKSc+rQMmPqCEIj5ZoSE+h24gPuEiHj7EFSA+Tj0hPlR1Iz59yh8+FhkiPgCuMT5quCc+KpUiPny/Hj4NGjU+SGMoPqdlID5egio+CyssPhyLMj6ToUI+zNs9PkHoOT4ytzQ+m7U2Prl5QD5pGUw+SVhJPmqoST5W9zA+gJU3PixCOj7ntxo+kpEzPqHsSD4WYDo+7wc6PpQ8NT7ZSy0+sKUpPuimIT4OqTE+t3BBPmaESz4g9Ek+ckZhPkvhRD7MSS4+qaQoPgkZKz5vGik+o20ePspbEz4dQR8+5U8fPtHpHz5cViM+hw8xPmqSLz4SRis+8CwpPvwIIz4fWB8+MGUkPsIXKD4aEyc+QeYnPu9aKT46ATk+8qg5PmwiMj4p5yY+5dMyPrZWKj40pxo+t2oZPu/vKD5fLDM+VCcoPqneRj4UumA+zdUwPntvKj6/R0E+LA1FPl2fTD4xJ00+a/0xPiwoLT466UI+42xJPnJ/Uz4aKVo+4TJSPgAxOj750Dw+RIlUPojITD7hUzk+DYM1PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8z+IU9B/yDPSTOlj1FeKQ91iSdPZelkz19so89KUWJPU3oiD0IyYI9XeV/PSWYbj016l892WBbPSX8XT2m4WI9bgphPQ27Xz2VF1Y9/jJVPajgWj0reUI9ieg9PRudTT2a5lY9hwpYPVnvVz3HOmk9eDRqPW5gZT2ZRGs902tqPTHBbj2a7nE9ZhhsPVSvej0V64U9UTKGPTV7jD0RQIs9u/yFPXHBhD3rxoQ9HpaGPR5mgT2JCHE9or5vPZUFfD2wfoI9vbqEPZehjj1JnZs90fmdPbv1hj1MxYo9sW6HPVxSgj3V1HI9BQpdPZYpcj14KHg9uMpzPVnXfD23UYY9oEOIPZWujT3DPIc9a/6HPRBDhz2aB4I9JdxyPRMghj2ISI89Yx6OPZ2fkz0KRJY94CGJPU7heD1cHXo9Mhp8PUrwez2tUoU99WCPPdUbhj3rJ389V1h8PXlrej0hYXY9omJyPZBDbT2arWI9sfpwPQXJiD3HaIs9XjiWPX6Wjj1pH4Y9SUCBPf95gT1SHYk9OMCMPS7yhj0JyI89OLOQPdtYkz0xiZA9VTGYPYBVlj3LTpo9Lb2iPY0umj3nEIQ9Jc+CPZLIgT0K7YA97W+FPf/Skz3OXKI9xBqMPSBqjz2yn5M9kv+VPT3rpz3z9549IcGMPadzdT3hlmg9tjtnPcLIhT3mc4M9XDp8Pdv5iD1z04Y9kpCHPSHXiz25GYI9SpCAPQHUhT0BN4o9BLWOPZ25iD2t7n490PtoPRvSUT3TPUk9/UJBPZKtTz2eEGE9DFJZPfJyWj2mtFQ9ywpOPXMnaz3lA3o9RoV9PTZAez3SC3A9T8RvPaxuYT0ZqWo9gbt6PWZgej2keG09ozhnPdwQez3RGIA9uIOHPVZ9hD1vL4I9S5mDPYzkhj2iiY0904qCPasxdj096Wg9DfNnPUlrgT1qlIw9icGdPY5Vrj13cq89BISsPYVLkT3rdZQ9Kq6aPWqWnT19JKM9iCeiPRUzjz18nYg9Zg+RPeh+mz1Z1pE95LSPPd9DlT2wBZs91HSTPbl6iz0dVo49sQWRPUofmz3JiJM9d3yfPc1LrT0MPKI97aqfPYppmz03d5w9gKKnPUhrpz191ps98CebPTJ9nT268Zs9y5KQPZbRiz1v74s9XcqOPVKgmD1vCZw9r3unPUiXpz2bcag9KcqpPZw4oT1A5Zk9q4agPfZprz1txsI94STEPQsAxz1CTrU9uOuiPYWinj2H4p89UT6nPfKYqz12VZ49NBGZPS20lD2uf449tWGWPe2bqT33HKM9KKeMPSXMhz1eVZI9nmacPbS9sz3n5Kk9No6UPb2ifz2JKXQ9hbZxPaaVdj1WRYQ9C6SKPRwilD23g5I9ZWOSPVdSnz1aAqo9k+OmPaNbjD0N+II9hsh5PXBRdj271HU9+PyDPXvXkz1NtZk9TK6hPX9krT17BLs9a5PGPRbIxD0MOrs9mKuwPenNpT2EXag95sKWPaOTlD1KLIU94kVzPR0ydz19i4o9sXqPPeqYjT2oRJU9MIWdPWIUpT1PQ6U9HBGhPZ79nD3H+5g9ePShPcTlsD2O2bQ9XMWkPcRjlz3bxow9Lv2JPc7Qgz2DoYQ9ImSQPSOQjT3m54Y9KlWHPccNjD3p5IY9rRKCPa7Hdj2IG349C/iEPVv8hz1yGIs9d0CNPR2biD11m489eXSPPTubjz0cPIY9NK+GPZIDkT1rZZY9drGXPXBjlj1y1Jc9KmScPShboD3E36M94BajPbz9nT0OUaE9im+jPf67jD0sgHE9sEFiPVB2Wz2nfmc9+1WGPchxhz0oVYA9ayh3PcYkbj0EqHo93M5/PSm5cj0S9Hc94Nl7PQ4ihj1hmZE9XZKVPfGcjj1yvIA91t13PYpCcj2zdoA910R6PdUWbT3X7lY9oyFMPYfkUT3b9Vo9SZRfPaKgWT3YFUc94a0/PRrKTD0Bt2k9GzNpPUnCaD0ceGc93iRxPRUDej3p+ok9cC+OPVushD1FxXE9pj5rPYh2Zz1oO2Y9uQBsPex1WD0O20k9jMI/PelWQT2qBDc9SnM0PbxKQD2Hcj49nck9PdlCQD2w0SE9QHkZPc+oJz0oCyk9hgALPTEiCT3rJQo9a6UNPU7+BD1TQuA8i2m8POBqujxGkrU87C6xPNmeuDzHQLQ8vcWvPLvQrTxn+qk8EVWtPPiPwTy8pLg8a0+yPHiusTwZg648wlyqPATbpjwOGqQ8og2nPDiZpjyaEa08GmvOPC4PwDz2zbA82mi/PLeZtTxHnqk8p3eqPEEypTw8hqc8oX+xPMperTy39J48e06aPKanpzwrKrA8rzW/PFOOvjwh+ro8xiq6PI/rsjxNobw887zMPNH2yjxI4Mw89VjkPHtk7jy57O082Rz+PDykBz1MjTo9zzGgPU+nnD2aHYQ9BM8lPc7LCj05kNQ8EKrWPJ+R5zx+/Sw9k7OJPS6Uuz2LjQg+7nkTPpB4GD7X1Cg+q+gpPqcfHD7vYBE+dAkSPkdfED7XgQ0+hloPPt8nET7ofhc+z88UPj4rFz48Kh0+oSYTPjRkFD5I3BY+moIXPsRzGD6hmx0+htYdPktCGj7JvhQ+/4oQPiKfIz6fhiQ+CMwiPr50IT4isiM+vY03Psw2RT6Umi8+FmYhPsnLGD7CbCI+IOMuPiSeLz4nTjY+ATFBPrdVOz5QyTk+CU9EPickHD70OzY+QbRJPn+2Tj44Tk0+QIVDPg2mPT5uHzE+xqA3PrFhOj7NLiw+ClowPuluKz7hlS8+Bfs0Pr0iND6HYjI+Gc0vPmV5Gz5Qaxg+vZgnPvMjLj4N2Uk+M8FJPuP5cj7mRVw+1QgwPkVOLz5DOB4+gq8cPmQUGz5shyo+brgwPpB/Kz4bjSk+rD5HPmYAPT7NZSc+rAMmPuecKT7qiT0+rnk/Pq54Oj7IOD0++e5HPv2xSj72UDo+4xozPvd2Oj6jdTI+mI4lPrYFIz4wjh8+DIsfPj+DIT4LszI+qMxFPnmbSj4QJFw+6CFYPk9WMj4k10U+GpxOPtEdSD4FpSs+iDhJPo1UTT6d/C8+ru8oPkXVKT4AyDY+3OFxPpgUij6DLVU+SEghPh7mGD7cQRE+R4sYPhMKID74qB0+vl0qPjdJKz5t+yU+IiIhPv3eIT6puCs+acIoPoQ9KT4ATyo+PaYpPmeIFz4/shU+t5QfPnDQMD604zQ+NfU+PvzTOT5cPiU+7EYlPogAKj7bqzI+M0JHPqAkPT6K+SE+yaJMPkCzdT7if1w+o2EuPl/KQj6v/ls+kmc+PhD8KT7xoSI+abQdPq3IGz6PWhc+pTgfPm/THj7doyU+gVUrPisMJD7+ESQ+FBgsPixIIj6v3SA+kh0gPl8KIz413iQ+8v4XPs0SGz5ukiU+9Gw1PhkiPD56aTw+6s8zPjsUKD56mCg+4AstPqX6Lz4cty4+mv0sPqmYJD6FJyw+SUZBPmIPSz56Yzc+OvgoPsvLJz5nxik+ptsbPjWlFT5Fejk+KaOvPlOfOT8BVh4/8syVPnU2YD6GPlA+yMVjPnNkbj7QSWU+vJZQPvaCKT7KJCo+AH9KPi1PQz4J700+XmhgPs0vPj40y0M+NbJYPr+IXT7Wt0A+ykkePsDjCT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/tvqKPewGij3Byoo9bYWXPUwClT2424g9W4yAPYxLfT0V3W49jG9uPQaCZz2D/0w9LG5TPdIOUj0eVlA9fB9TPQ+zTz0w5lw9djlzPbJObj2tm2o9x5pgPaffTz2CMEs9FMtJPSp4Tz2oHWA9iHJoPXe9Yj31EGk9+a5pPcn5Zz13eWI9QBpnPXISeT2SX4c9vkSJPcAqiT18/Yc9nMJ5PXK+hT1MiY89cX2PPV2fiD0Nbm49xn1gPWxkdT3KcY09eb2VPbbblT1zwIw9vuyHPdjmaT3Bams9DtNSPU8xUT1v6Vk95VVtPdMSfj3xwo09xnuHPRbXhj33LY496lmNPfFnhT2ZWoM9psd/PWm/bT1XA2U9Ts5nPRRQjT1FU5o9jZKQPYr+lD2SNpU9j8ugPSzVij3Em4I9bYx0Pe+Xbj0/xH89eIKVPQ0SiT0K3oA9Yy2FPVLPhz2ox449YRmCPa0Wdz0BB3c9/jZ6Pd0Jgj03nIg94cJ/PXQdhD2OY4k9DkqIPaSWij2/84o9F1ySPS5ojD30L5A9oIWYPRjPlT16aZM97KyRPdsvmj1FNZI9VYCRPX4Cjz14fYE9G1VrPUnBiD1NmZ09yZmWPSvUjT2G2Yc9+qaPPcprlj1ZvJM97BqXPdvKlz3rXZA9JOCIPd69ej3SsH49rhuNPRTUlT2DX4U9K/x1PVy6iD1Be589f9WaPYclkT0xHIk9hO6KPSvXjz2KcYw9vQqBPU7DfD00aXg96INlPYCpWD3jW1g9VBxhPfG/Yz0sf1s9F9FcPT3pWD1lD1s9GdBdPXYDYT3l2HA985F3PewiZD1YUGI9A8tmPYELZz3iVXA9G1V+PbBfkD20r489bNZ0PUtXaT22V3s9Ji6JPbzMjD0H34Q9YoOEPavthD2NnXY9X0V0PVB9Wj0nwFk9wMJxPXEIdj3Hb3s9bM5+PTXUlD2xI5c9LBt4PTYdaz3O0XA9Zsl8Pa6RgD1FKI89gk+ZPQsAmT32JZQ9aoSPPYbnlT2DKZw9DbWgPW/dkj1rv5Q9UT6dPUJ9nz20n509gT+kPalFpT1j46c9MQubPYRQnD1OJqk9/JG4PbIKtz3+/bE9LAWtPeg7rT1kRqU9ySmYPWbHoT33IqY9eGqkPexDlj2hao49u2mWPYnIlz2eX5w9X52kPfnuoj0DPpQ9y5ahPWf/rD0pY6w94IOtPSPurz0vLLg90u64PWI7vj0mabQ9GWWhPXjQmj2trKI9gEuoPcU7pj1boqE9hX6TPW1IkT0Np4k9JmmOPYY0lT15HZY9s6eQPT8miD2XMI49rLOUPctokz0BFY49e8GFPRToiz1b4YU9LPWCPcmQhT0HIoU9ZPeQPdWGjT2YIo89bseDPcKohD3uDZQ9HJWnPYQAlj3ofIA9Lr1vPaOsbT3X8XA9aB+DPdBwjz0dGKg9jTWtPdhwrz3tE7E9kYS7PdMDwT2YYLM9YDevPXuBqD1ezZY9pWiJPekciD0PhIQ9xoKEPb+pgz2tzYs9LTiWPYBhlz3CqJU9SsuPPWS2kT24Zpg94W+YPbF9nD3uOqE99zeVPYOJjD0W6oo9HgaNPQEXhD3Ynn09gqB3PRe6Zz3Gw289/RuSPZfrmD0vBZg9kUyZPXzfnz2IGpQ9qTZ+PdSAhj2ic4M9loCMPeSmkT1umYw9j1GDPSKshz2afp49uA2tPUPipD2lBJw9vUqEPU4chz0IaoE9JTKBPXs3iz0Ze5E9DkiTPbjklT0OH5496I+vPVY1rD3JU6M9F5WQPTbVjD1LTo093POBPV3yej1U+nU9IIqHPSbGgT1D5HU9EgJiPerNaD3Qzm09EyR9PW+sej0adII9o8GGPUvsiD3fGYo9qu6APUQBYz0v/VU9ipZlPRrkcT0Ne3Q944aAPTchgz0FAYs9/I2LPaCFfj0/j3k90Xx4PXs/dj0yEWU9yW1kPTg5ZD2ckGQ964hrPc+Ubj370m096MlpPeW/cT0h6XE90dBqPUTwbD32zG89b9V2PVfiez3UxXw9zgV/PXi4gD3+X2c9fc0/Pe0NPj1n60A9lN5KPTwATD3Yekg9v4ZMPTZaUj0YZU89lHk5PU7AIT009xY9ZrYOPYXZDD01qhA9IFQbPcmMDz2tjt88umWuPJEWszx8Vro8a2XLPNLvvjw/I7k8cGm8PEjIyDyEOcg8tVXFPBkZtzwrIro8mSyvPB8lnDxfZKU8Vcm+PJ4axDwxFqo8F3SePA1sqTwaFK08vvysPGr2wDxESck8vnCnPK6gtjwydbM8J5S1PEH1tTw6W6Y8s/KlPGWIvDy7s7Q8IxmcPOHtlzzk7aM86PasPJSKsjxsvqo8eimpPDNjtTzOd7081byuPFQvszxtfbo8chK4PK2utzzc79E8AAXpPPtWAj1iWAE9uBoJPT9aQj29eDY9+lcFPQsP8jx9res8pZzuPFa97jx/iuk8VdvyPE6AEz3Zcis92rddPaMxzj2oKyU+hzEkPkhZHT4Cpxc+rwMRPsAZDz4XLx8+NeMgPuJKHD5pIBg+W60XPlH3Ez4/bRM+xEcfPutYGT5kWxs+kTEcPgpKFz5SxBY+PwYkPhr5Lz5lFCs+Lm8aPjgUFD6auDQ+UWQkPvBSID4zhCU+FoIbPkmkJD7xiy8+nao6PhBcQD4qkD8+HbtCPsF9Mz5nUSU+vNozPoa9Nj5SojM+rrQ1PvoHOj4BbjQ+9lczPigOKD4bbyU+oF5APlaVOj4hqzw+0HkyPsq1JD7VnSM+3JkgPj25LD7OuzI+OUczPs56Kz4MNik+X0ZSPpe3PT6tIBc+9wUaPoN/Kj6mAy8+YKw6PkKySz7R3WI+xdM+PkmmNT4YZTg+T4Q2Pp5IKz7W/iI+ivIXPr/fJT7Rei8+S0pIPjdMTT4joEE+vKIaPhkVGj61zCQ+0fJJPsxOZj6A+lg+fs89PtLJQT5BGT0+X6kjPp3cJj4+BjY+WhIxPrlAGT52GxI+XYwrPt0wIz5m4Sk+rCBDPsepRT4wMEY+IFVUPkBZaD7bh0Q+GNgnPovQLj5ldjA+dNE+PprBcj5o+XY+kRA/PgUEKj6iwSA+QCImPsxphD5vY6s+2nhnPupbGT51rRI+Q0cYPvurKD72CCs+FQE4PmqaNT6T9R8+vKkdPmaAGj6B0SY+sWEwPq2eKT4bbCs+NSswPvkjQz50RjA+WrYPPuivDz5OVD8+S9pEPuLZPD6J3C4+z9UxPq49KT66HTA+RKkyPoTHPT4AYzs+0rY+PnzeQT4pLTU+njE5Pv1cOz6HNy4+ShRHPoMZQT7CATc+SqIxPqETMD5/wzQ+rbUTPnZkBD6W6vo9ERAKPmMUFT6ZZRI++AoiPpGAIz6N9R0+mS0dPgJLHj6svCQ+ovo8Pj/kJD5K8Q4+AtIePjIVMj72RjQ+1t0tPtzdND4rQDM+HMw6Pn5/Pz5PzDI+MrE1Pv9rMD6nVDI+A8ErPvfgDz5M/xI+Zt6wPTL0hz2+c2k9U9SBPXwBej3UxGM922qrPWkRAj8mGrI/ibKRP8f0vj6hwkQ+FopQPtOEbz4nV3w+R9NpPrZpbz6tWEo+j1RWPpL/aT4Q1jY+oPw7Plr/Tz7Ytlk+Ke5nPtZpSj75OSI+0JvZPWmzPD1rUbw8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9Cykz1kqYc9Oop9PdHIhD2l6os9rbaNPWC5ij01goo9PRKIPQLsZj3QuEw9v75CPevENj3yOkU9Z/ZYPYgycT241Hk9y9Z9PRfiYD19UVQ9Xa9ZPfGsWj0PMU491BtJPQKZWj1EM2A9Q6VYPUdQUz36eGU96fVnPT5wcj2feX89Ghp+PVGkgj1giZs9Y2OPPXeUhj1NXYk9tpWBPelucD3KWYg9hHeMPUC8gj2jz3A96OFoPcTBZj0AQX09+WmIPRg8jT2yP5E9m1qQPSWBgT2MvWg9WD1bPXr1Vj3ORGI9s6x5Pc4Giz12/KY90Z2jPculiT3xVYo908KCPXswej0ND4Q9TTxyPWsbbj2xP2s9SWxvPcn6iD3WApI9O1yJPVz8kz1dWpo9/KOTPYRbhj2aaIc90TqKPfUQhz29C4c9rI2OPUVniz1QHXM9g8J5PbNVdD28NWI91CRoPYKogT3l7Yg9EbmMPcZUlj3f4Zo9LvCWPR64iD3JMZA9eVWIPaRajT2EgpU9GhGVPb1Jij2Tcns9JbpwPTmMfj2s5YU9cjeSPYWwmj2D27A9WSObPc5fhz3KrYM9boOJPbDQjj2YbJ09jq6XPXwEkj2LkJA9wUeUPdCLmT1O9Jc9EjiYPU/Wlj2925M9DDiNPX3ZlT0bMns9qlNtPbI4gz3veI49yQKTPf48jz2Gc4A9YCF9PV3/iD1zNYo9uKyLPXAMdz0MnYs9712QPXcqiD1oAYE9owZzPYSeZT2sDGw9i+J1PdQKaz0RPWI9MapePTbJZj2rRno9kFNkPXs/UT0dPnU9Mjx8Pc/Daz2uSls9VcJhPZT5hj0woIY9oomCPWD4Yj0D2mQ9bwpYPdBSXz2aXns9T7Z/PVoygj0EbIA9tDV6PR/Agz32L4M9SEqCPZDlez0CFW098r52PfnSmD1s2Jc9RpmWPQiPmD2CNrE9XyapPeMKiz2XUYA9ChiCPTYLiT37uX49g5N/PVuihD28JZc9d6ybPQf3nT0UO409yJyMPeCFiz2KxJQ9eqeVPQHEmD36HZc9WPOSPSx+jj3Ecpw9A6CYPW+NlT3D4aI9FHKfPR5Soz1x3aU9SISkPYttmT1itI49oi+YPQszlT11O5o9pcmbPS5vmz3aApg9iUqYPZnYoz36Ypo9q0eZPXVpmD1LJJo9iHqvPaETtD03QqQ9RH6pPa+msD14C6Y9bcGoPShetD01t7I9s2y0PXDOsz04z6k9iT2qPXvasD2zhqQ9eaWsPSLDrT2/0589apybPdZgmD1is5A9tc2OPfw0lz3pDZo94fCQPbtljj0bioc9nmuEPQZmgT3SLIQ93paIPVZHeD0ZzIQ99XWLPd4Jkz3IyJE9UtKGPcoKkT33qZk9mSSdPVa7lT3gRIg9DZR0PX0KfD1FF389DG+GPUe5lT3o9Js9bIKYPcuzmT3SV5E9/yuTPXcnkz0dBqc9RgewPaRhsD3JFaM9N9eUPfJPhj3QS4A94f2HPbMBkz2vSpM9zY2XPXUAlj33n4o9c1iPPaGAlD36Xpc97PecPXRlmz1vAZw9fIOHPfBwfT2MZHs9PIJ9PZ4khT231I49LZmMPYLfgj0Nmog98kSPPVSAnD1xsqY9YYWfPac3jz1PSIg9SWeCPU01gz1svn89P9B9PVBEfT1OW4E9BwOCPfXYjD2WppY94WeUPQ3pjD11cY09Sp6NPRpGgD1JfHo9cmNoPZnQcD1Z8oU9T3eIPd0yiD2n1JE9tb2dPaS1mj16NYM9mZV0PftobD01CoE9Jxh2PT08gz18GI09A0yOPXLqgj1KGWs9/NZgPYZdZj0icXE9daR1PTIJiD360Y89Z76SPaNGiT0fP3Q9cgVuPU6obD37+2Y9lpZpPdeYgz15xp0996yjPcUVpj23PJI98JaEPX6jhj3jxIw9W0yPPXcqlT27eIg9Ck52PaE6dj2yjYE9ibeBPYoNcj1T+WQ9cAhpPds5dD2uuHM9SaFyPTbLaj3vXmI9GgJ3PeAgiz1YPYs9S4CKPRiajT2oi5M9pxKEPX7pZD1my2g9wh9fPTj3WD1j0lE9BbVNPT3BTD2L40c9tew+PZFwND00sCQ98KUYPRnMET15Uhk9GWsfPZfUIT0KYxA9hdLwPOhowjxjgMA8qmrBPCCkvzwMLr0858y0PJgFtTzU3Mo81QvFPP3BujwoVq48gYe9PEk9wDyJKsA8gUrFPDS6wjxVsr08VYStPFO6qDxcv608xg64PPGpvjxTWrw8mKe4PMwhqjw8Upk8mPyZPKAFpDwny608BVa5PIBhuzyBjrE8zayzPDwOrjxQGK08IoiwPFx3qDwCKK88f/+vPBk8rjyLHbQ8T+O9PJKRvTz6NL48Hi+/PG7cxDzOD8g8V27QPNKZ3Dyn4uA8h9nnPBBD9DxWJ/U8qIP6PHZsAD1fAPM8UrrlPCn64TzuQ/M8AJAJPdINBj3NSdc8ta3MPI9iEz255Vw9/5ziPZkxIT49bxc+5BgfPnzPEz4mcxA+SgQbPhhSFz7XrSE+kx4oPlSVIT7wLBs+fEghPkQCHj54TxI+LnsQPhrNEj6cfxU+IqAePpd+GD47BCU+maQqPrO4KT5ZFgs+PiUgPkciOj5Dcx4+RSkJPmn0Az5nijg++bA6PsRIPT48vj8+MrU+PohMSD5xp04+ivAvPtbFMT54hzw+iwc1PiMDND7VaSs+NIQ5PlhwOD5UbSw+z/4kPhDRIT5yvSs+jV8lPnf+Lz7muTw+fcgxPrhtLD6pTio+8qQnPj8pJz52gSU+7l4xPn9hSj5jfks+c/8yPqnYLz4fRDk+CzQvPokrJz6HBy4+madPPrrHQj7qQBw+m6AYPqRKKD6acDM+1Fk0PuFwGz6H3h8+u0Y/PphIQz4vTDo+3YAwPpvmHD7S40Y+VuWLPnR2iD49eTc+rStHPstBUz7yt0o+Hb0gPtCNHD4e9R8+EZcqPlGzQj47sz4+S8gLPi4eDz4hLE8+lP50PnKeVz7xv0Q+PjlcPn+yXT6ReEU+w6crPktfMj5f7SI+gQ0aPkF2Gz6tRCU+I048Pn/1WD7S2mE+rGp1PiFmdT7qp4U+0V6TPo3qbz6r+iw+/VkhPigUIT5vKSI+GpIwPl6OQj7D5S8+ulEWPqZcEj7HwxA+WVkjPn5UNT5mzDo+2k4zPj61MT7D4mQ+UFRhPvkUHj6C6xE+Lwk3PvFlOD6zsC0+hsIiPnmtQD76uz0+SzZBPn3BOz6HRTY+MzNAPlM2WT6+JE8+gcA6Pl5wNT6bCTY+vmlCPmgSTj4ISC4+c1QaPmjoED6NMQo+f10oPhBoHD6MXws+jVUMPmRpGD7IFyM+xCU1PiuGNT6egCc+Zv8ZPm7qHT6gjyU+xJE2Prv3Rz6HWCo+ZAcbPg/yHT65kSk+MvcpPqOwGD51aDY+qH5mPskxUj43EQQ+wJKhPSPghT21T2Q9PLCAPSqYjT2gDoM9R4QQPbZHlzx/EKo8Bb6zPBlxwzxcP9U86mPsPMAp+Dzt2QE9OO4JPfW7Iz11rY09tmn0PToIrz5AdLE+UqxXPvfBVj6Smko+Q1wuPlVGPD6kZVA+9i0pPg1YDj7o4qw9tDAbPZ+Euzwdm588ivuWPNSclTwwKKs8/5a8PAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/LyJE9H76HPTlxhD191IM92ouGPZ99eT1yc4I961ZuPRB7Zz1o3Fw9EB1jPa44Tz0evVA9ToFRPSopVj3hU2U9L1xkPdA4Uz33elU9FCJLPZRDTD2n4Uw9i/9RPWMDaz1xJ3M9BaZaPcEgVT1lrmA9tFFwPUF/cT22O3M9CMBnPU0YYj34uG099SOFPaohiz1sBnU9pEB6PdK9gD13/4M9/8CIPdCUjD17dJI9qeWPPclIij2pqIA9L9+FPQfsgj0ISXw95C14PahmcD3P72o9QpRwPUrFcD33FXY9qNp2Pekpaz25eWU9rGhyPR7mjD3yt4E9uGBiPWnGZz0vUHo9BbZ8PV9pez36S4A9RrWBPVd3gj2dv4U9zvKEPfwykT0tepI9almZParimT0lOpc9jXSUPRSxhD3deoM9ARqLPUbHhj1TlmI9DGlgPeeMgj3xJIs9reSIPR5YiD0zG4s9f4eUPWZKqD34y5Y9tAWEPajCfT1kVXw9ZpOZPeJUjD3MXYA9q9l/Pc24fj0JmXU9Fgd9PWw2ij1WwJQ9WCqiPfrVoz2Xmq49KfqlPTnJjD1vqo096dKQPValjz3gA5w92OSqPVnooD3rmJI9lMiYPV6imz2fS5U9qEONPXuNhT0vZYQ9fJyKPU1djD38/4M9YlGJPSr5iD2XN4s91j2HPS3VhD2+TIQ9vl5/PW73eT2RbHY9OgmDPVYghj3f7po9p4uWPWxhiz1Y1Ho90DxnPceyZT1S8Xw9psB5PfY4iD0oFn49zJ90PXlqdT34X2g9XiNiPdsJdT3wp3M9HZNfPZUtWj0e2ko9h+5OPfsuYD1rsm89zcxUPUgNTj019Uc9wKtJPWlsVD1FLG098m6FPQ9khz3gCYY97e2APc1AfT3yKIc9EaqLPXfaiz1w2I49SAeWPfV9nD2TBKM9lveUPU+9jD3fjIc9lYF8PdWKgj0dmYE9IPVqPbtXaj0iKXg9Ebt6PUA3gj1qvIs9NXmRPTPCmj2KZKI9NNOiPRlEjz2yvYo9Bi6PPWmRij0ktI09pUGXPbg+mz1obZw9+L+aPbiwnz1HLaQ9ly6nPYJHoj0i2aM9UR6bPSzRlD1xmJE9ekGUPWb1kD0AmYs9OmWNPXsPij3x0Iw9GZiUPVLdmT3FdZo9iaqRPbkCjT1xepM9GpqdPYFKlz3Sl5Y9Bp+qPZxzpT2rxJ092FimPYE/rD1MFa89h2jAPYZqvD0F4a89M/WiPYSOmz0E7po9flCpPR2Voz3Pbag9rb6lPd0voD2aqIw9vDeJPVE7kj0P1ps9iwOePaWqlj2akok9aJ+EPSHafT0bpII9c22HPfCNkj2cJ5E9s+KLPQdhij0qfos9ZnCNPatjkD0Bkpk9vhqUPYbniz0A/4A9UIlqPVnSeD2Uqow9pBKKPWKNjT2aRZY9Ry2hPXYjrT19G6g9NBulPVlaoT2gJJ49K9mfPb0TpT3ye50931KQPYPdjz3o/Is9lcCLPVFgmD1PuJQ9m4aKPYA0iT3sb409wT6YPbDtnT1LxZg9D3SRPSbfjT3zUpA9I6CPPRcGkj0qe5I9cfORPQ8klD0WF5E9w9uHPTEIhj3+mow9gq+UPVmHmD1kAKI94WGJPUf6dT0pdGg9PmN9PVYDgz1Qx5A9D9aSPcjYhj2BOHk9asdzPbu+eD1OqYg9N0eMPRfTkj0f/JM9pvyOPZ9xjj1oFow9wsx9PZehdz1yVoQ9LZmWPTwgoT1fqaY9/z6jPW41lj3MtIw9SS58PWiEeT3rgns9aR9wPRC1ez05mIE9iaWEPTf9jD1JL5A90GeIPa17bT2a2Gg9cYt6PQnGhj39io49kr2HPf92dj2hU2E9O1RVPUW/Wz1yYGE9VkNoPbllfT3IZ489PJalPdSEpD12Vp89d0uOPeLCjD3T1YA9hkuCPXbFhD3cx4Y9XWGFPdFJdD37LXw9sSeAPcyggD3/K4M9Af6DPXKzbj32+Wk90PdjPQqGaz3vWm89aDh6PSYnfj291oQ93deJPbfAjT2Lho09/JSOPVtkjj0m3H89RwpwPQkxXj36jmI9/8VsPeM8dT25DoQ9TWVzPRfGWD1bAlg9e3RRPed4Oj2PCyo96L0cPW/EEj13NBA9wAkBPRFJ/Dybv9w8IgrFPKJV0Dxldcc8AuyrPJP9nDyRAK08J+W+PE69wTzVTr08rMasPF3xrDyJBLI8KAOvPBQToTwS1aM89omkPABDojy5caw8WSSsPB7oqjz9SK481ZuuPEzWrTzfgrA88QuqPOM0qzzs4LI8V128PLkGrzzm0688hkWhPCVGnDz9w6o8Sgu4PK6Zszygibo8Ok7DPJYAyzz3JMk8ASPCPCSZyzzcMcw8q86+PB0Wwjz73Ms8Z+LSPFj15jzTcd08wt/jPF6rAD0oZQI9A1XxPHei7jySOec84RDePOiJ2Tzt/do8WjrwPLh3CT0RYA49ec8EPYRRBT1dVxc94/A1PQi/bT2wWA0+K9omPp05Ij41+x4+GQsVPnZuKT5Bgiw+pBocPjEdFj7AERU+OXkdPhNCGj53rxg+FzEPPip+DD42OBk+nAYlPkPNMj6kG1U+GJFXPuxoWz4p63Y+mBBZPnzXFj5sMRY+TMQkPtVoOj5mK0A+q5c7PuqmPD7LSy0+QugaPnuIJz4wqy8+0+g6PhuPNT52ok8+cHlMPnKWJz5fPiI+vD4lPoExIz7JMxs+QzoUPuNbDD5rsQk+wsIbPrchHD4qbRc+4Qk4PoyrOz48dzY+spEyPhlbLT4zWxk+aoMgPus+KT5VDis+pPs5PjFpVj4d0Eg+IY0yPp5dJj7AqyA+kKcOPnC7JD6zLzE+cRsjPtScNz794D8+ZfdPPuGRPT7qIjY+KPE6PoMgND5cqDE+i3owPnGlJj7dchk+obMfPvTQLT4HJTE+HuE4PlRDNT5ZuSY+EYQfPmT+JD65NSY+Rz4tPoQpLT4PGjA+6phJPnELcj44yW0+oIJWPnDNYT6+UE8+EjtXPhkTeT6d7IQ+MZVKPmyrOj4i4ys+ZXEfPrKELD7z0TM+FnI5Pj49Nz5WtU0+HLNDPlQscD4BT3Y+z7xxPtXtZj4LlIY+lac9PsXFFT7m3ho+028hPqr1Nj54L00+PtsiPp6sED74IBM+jDkXPlVyED5M8xU+xiosPjS5Jz5HdSU+xSwnPj7vKj6W7xE+EEMdPpwHNz6YVjY+JSUtPr7NHT5riB0+RtwvPmuyQT4wdTc+8HQ5PuwfQz5NRDE+b9BAPrgUPj5FPi8+Ad4qPuSXOD4tDTo+NL0dPtdK7j3xbMs9w1z5PfI0LT74dkI+IW0kPp3aJz7h3To+XQs9PoRFQD6WNjk+26IxPlu4Iz4sqyQ+0W8/Ppe6aj5WhEc+wZVfPlTOHz4mViY+aiMmPvj1LD47eRs+apojPmrUkj2MxbU8chOIPIashTyDt5c8CXmPPF+YnTwKvak8nEmtPFQqvzykTdg8yLrgPIUi2TzQkNU83DTSPIi52TweH+88WLXsPHGw4jyRZNw81gLePCdbHz0feyM+ElFoPpFvOz6iGyo+bEsVPr0L/D3W9OM936qVPU/xDD2UUrM885G6PKMh2jzuhww98nELPRVYFD1naBQ9di0OPRpBCT0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/7k+MPb6IhT2PqIQ9aa+BPVJUej3Dams9465gPThMTT1pzEY95/NJPcFcTz1gxlw9eIZmPRmRaT3MOHE9VR9wPdozXT3JdEA9DPJFPY10SD2vkU49arJXPQvaYz10jHQ9CNp3PVMRYz0fpmc9HLxwPSvNcz0xhnU9GKSFPaDZfz0NN4E9INyBPe3zaz2xi2s94Xl3PTrOfT0pg389zbZ0PePiZT2RnlE9Ux9WPYiDZT3mG2g9DS1jPU7RVz1rhFU90nlTPQNUZj18sG09ib5yPVBqez32SYg9RSOPPZdhij0n5oI9R191PXxogT04EYE9rf9vPd6FcT39nHw9St6APXQgdj16YYY9Ed+RPXMSiT1rMYU99RCIPY+vjj0PZo49gDmJPQpbhz0g7IQ9PR16PZNydT2XzYw99nKIPWJ2hj2XOIU9l1d6PZgFcz0o6YY9mhmLPcfdgj2JfoA9dDuGPboggT3NMnU90JVgPVm3ez02nYY9f7qhPZn9oT0Cboc9+V5qPW4+az2bFXs9mCWMPcsxij2BhIg9RNqYPazioz0PCaI9BySoPQmlkz0qrow9gJaYPTcYnj2q5p092uCjPYJ9oT22JY895TyMPe13kz0Rq5M9+gaGPf/KiD10IIM9aQ6APbSOgz1RFYc9+JKGPXkbiT0r7oo98NiJPWNCgj2lQ4A9R2l9PXo6dz0+gnA9zKVnPbXpgT0Fso09rxySPSuwkD2qS489tPaLPS/Aij10wZU9IEScPXnhkD3caIc9BlB9PW+TcD3jKmA9mZVbPcrAVz3ollk9TChOPcuhVz2QjV897qlYPX0pUT2M2nM9uBCDPZLFaj0Vp089UbtPPfqCVz2DRms98RBwPQuBcj0mbIk9oxCJPQiZjT1Fu409WRuMPYIxkT0qX4s9chqOPUgBlz2Mx5k9RnyXPfBwmz1RM5Y9/g6OPRo1fz0d9IQ9xpGMPSEtij0yF349aC2APfqZgD0Oook9wu+IPfa6kT0AsaE9TCqiPVqtmj0A6oc9BR+LPeBukj1ef5c9Vq6YPWjnnj0YhaM9Zym0PVuarz3Jsqg9iOSfPUQSmD3/4J89MNKvPXjJmD1XCI49flSOPc9zmT30xps9x+CUPZIDij2Q7os9WyeYPQvmpj2Bs6A9uZyiPSI5qT2dJ6M9KrygPQpLmT16i5o9ekKjPfTjoT22MKU9vM+rPcsktT32+LI9OeLBPezUwD0jdqk9+TKhPd/1mz2CYpE9YpuOPdkclz1sNKE9Y4ulPYTXmz3I9o09a9CLPZzejD0tuo49/uaSPThmjz2fbok9AGWPPSCInj0ZEqc99dyiPZs/qD1E45w92JWWPe2Mkj3w8pA9skKVPS5YmT2g15E9yOuLPdwWgz3mwIM9tHmEPUWRgj3JO4Y90v+PPd17lT1+oZs9x3uiPfJhnD3ClZ49ZWafPYZElD3jAZU9GZSZPYqGmj00R5w9PLaUPWFriz0s+4g9tnqNPX5JkD0U+ZU9Uw+cPeMuoD1ZhJ09yw2aPTMJmT1uGpY92SuPPRLUmD2cjZs9xdSaPU/8lz0706Q9nxSiPX1Iiz1bt4E9BLOAPaPZhT1hUYk9RgGXPTCylj0KiIk99haGPdLQaz3QXFk9DG9lPfWIfj0Z8Y49MVOVPZezmD0q7Ik9sIiIPeDakD0SaZQ9eGeVPXxvlD260pk9Yn+XPRgukz2c45E9hGaRPToxiD068JE9V7uZPa1BnT12UZk9zKuXPWD9kz34io09g06PPbNihz0xzoM9tdqDPbD0hj3s/409lz+NPTNCjz0vsI49epONPa19hz1aSn49e4qEPURFjz3vYIw9mJaKPZskgj2fSWw9wcVTPSulXj3Ol3k9FWx8PWeegD1vpYg92auNPZopij3hjIw9fHmLPZYvgj09JWg9f3JsPXVSjD0n9pA9WGmQPZzQiD1r/YI9vbGCPdUXdj3LA3M909Z1PV77cj3gyWU9x15mPbnFbz1Y6IA9Ll6DPasYhz0Q2H89BlJ/PenMiD1W8IQ9ALeEPcv8hT2xuH49ml9vPckyZz1cVGw9GXZxPYCHez3nD289AFZnPTlfZT2/4Fo91d9OPRBfOD1E4z49v31DPR+xNj2edww98DMAPVFXzjwCEM88bvTSPDwavDy90LE8B5qpPPuHqTxbVag8N9urPPputzz6Mas8i82lPDc3pzxpEa48ArqxPAlAqzwHGKk8tcuvPJForzx32K48cB6vPBXlrjyLy7U8KkK4PP4wtzwV9LU8+uq7PH2SvTzAc7484V62PI38uzxFRcI8MAOxPHdrvDzdgLc8Ktq0PD4OuTyXSb48q4fOPGJY1jwOkeM8cDbuPJa15zzNtto82+zVPFIp1zybis08jtDKPM/+0jyUudI8zXDXPDPI5zyDngI9x9QDPb/86Dz37NA8FZPSPKYW0Dyv39k8FMvfPM7U7Tw0qAA9IQgKPZWNDT1D3gY9yNoGPfcXBj2IoTU92278PShYNz50NCE+og0bPgV9IT5DyTE+wzUYPgxZGD5/uRs+OgwdPsmJHz67hBI+W/UWPvvaGj4ibx0+A3wfPknuJz6b1C4+NyNYPq29Yj6fyFo+KOxePtlUSz55cyI+2Q0uPnBIRT5wfUE+mWk9PjibJT4yvRY+8HkePhgGGj4WQS0+NZQ1PizjQT7LdiE+TSErPu98Tj7stDQ+ChsmPgQOOD67LDU+REUrPi9eKT6vyyY+KEIkPlJ4JD7hsCI+dR8mPgu8PD6Z8Cg+YtkfPg+8GT4GeSM+fusZPiNeJD7uRCQ+j6okPmzMWT6E2UA+trQxPt57LT4gDCA+LDgdPgMCGj7VyCI+dbU5PhnROz6WIkY+7gBFPtNXHD44wyI+NENIPuHTTT6y508+v2BOPnK3ND67pB0+F5ssPrL5OD6j7CQ+5KoiPiYxKD6tmSE+K/AiPodkMD5VbD0+XFM+PjpDND6QWBw+8fwgPstYUj5pr48+L0+HPptBSz74WTQ+2WUrPp8rLT5f+DM+tV47PsKCNT4T7S0+8YEsPswBJz4kdiw+B442PsWKRz5cczM+d+8oPmb7Mz4jSjE+2sItPk1fNT43lD8+IHxFPg/SJj6VHAw+9PEiPiHsJz7OjTU+ohA2PkVOFj7j1BA+8UoVPgA7GD7QJBM+vMwOPsALMD7E4zA+sn4kPigqJT7PJSU+DSAvPuoTPT4XpkM+RJAtPn8RJj4Njx4+A3EqPp9SKT4AdCM+cdQpPihhHz5TKxM+XEcoPmZ5RT4cBjc+pDAbPmdTJz4DmEE+oFY/PmLVQz7rLzU+8L0pPolsMD7FpDo+ondCPiU4ND4RETg+lY8yPimEOD5bAS4+oEVCPvSWRT6wHTk+fu07Po3VQD7ZYEE+PQwkPrHXJj6mZic+zb0mPjJyIz6FyS0+HRAcPpzF+T1KqZ095vtCPRsv1jzeEoQ84raVPB2qoDy697A8TaW6PDT7uDxprLY8ayPMPBQ64zya9uw8+jv3PLN08jwDHPU8rFAHPd4WFj1d4Qw9NtQEPYvcAz3k6xQ9CjmCPfeFnj17+4g9Fg5+PW+mTj23iAk9Fg78PP4REj0eNQg9f7D+PPxxDT01Xik9zMpFPfMQPT3ZQTo9KLw8PUp4Oz3R7zM9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3o7dz35log9XY+LPbp2iD2OIYY9CjGDPXv2bD2dflk92f1GPVAWRz2NU1c9UHllPVh0bT2Qwm49my1lPbxaXj2WHEc98S9HPSZAUT2oOFo9pcxhPeAFVj3aA1g92hhnPaXZdj2Qe289h7JzPaJ8dz1blG49YpNiPVgWaz2RFW09CWtpPd41bD3iWHM9b1yAPX5laz2yjFc9u1ZSPVlVUj2E0lE9jJVWPeYsYD23WWQ980lkPaoLYj1UJXQ9d6x6PdB6bz0/dmU94J1xPXUWeT1NPow94qqXPfXEjD1VrIQ9CL+APfw2gD1ILoY9mSuBPW9cbz0yFoI9St6OPTz0kj302oU9mTOSPdsgjD2jAY89x9KTPfmDkj1k/ZY9R8GMPZdtjj29CJM9HRiUPVcNjj1wXYM9nk2FPXM5hT1j43w9FEOFPfdPij0M94A9aM+MPQoPhD0znHU9F6R1PQfcdj0pX4Q9yySTPWoTjD3DU4o9VD6HPb1nhj0bynQ9VhF2PUF1iz3OYZY9czabPdtJnD2LZJE9PLiCPS1bij35paE9oKKfPSermz1HJoU91cCSPW9VnT2tlJo9kqSnPfDIqD0A54c9jTCEPVhQkj0H744980qEPWe3gj1Nv4k9tRKTPeSQlj2+fJY9CGiHPRD4hD1ycYg9IS6EPXoVfT1neIE9CU+BPdTZgD0bFX891hiBPSstiz3dsJ494GalPSFqoz0J1JI940SEPS8Rhz2ibok9RFOXPU/Zlz2+dY89HR+BPdWPbz1EcmU92ulMPU1ESz01pVQ9q8xgPT95Uj1R4UQ9SlhMPSq9Sz0mrUw9HpNdPSV3bj3TPHA9rthpPZ75az3g93A9G81wPXVkdT047XE9hl+FPcjqkT28NZ49lyCVPSepjD0UyJY9IkCbPYxClj0is4o9jtaLPSjQiz2fkYc9jMeHPb1khT1N4nw9cgOEPUq1lT3Ee5s9qjmKPY3uhT0g7oA9Gd6JPfRqlj0dz6A911qiPVs4nT2KGJY9LX+SPYcloz0UX5c9fQycPee8mD0x55E9hBmgPaVWsz25yZ89Pe2XPQLKlj1liJ49atCkPba3oT1n6pM971qKPUr8jD2U5pc9HRuWPWkQkT3AUok9GYiaPZhdqz09mLQ96269PaFUvz3cuLc9Tl2sPfqPqj3E+aQ90+ifPQUusj3l6sA9DNrGPShuwD2qA7s9AWTCPWznwD3QG7I9zymaPR2LiT0uRoU9js+APSY3fj1paIA9WGKEPaqWhj0zGoA9QZqDPVGRjz3nZpU96/6XPfdrlj2XTJY9Uq+MPSn+nD3M/6g9FFiuPZpMsz2g8bE9tZyiPXwzjz0YxY495EmRPZ99lD3uI5M9gXeNPU4chD29F4c9c3WKPTr4iz25d5U9cfOpPSbaqD3wVaI9An2qPUD3sD1SWqI9bOuJPSRIhT3A4II9KGyFPXF+hj25J4Q9TXuIPey9jj0Woow9Ry+RPRjylD13pqE95VqePcjWkz00R5k9KZqdPa6rnT1GKJU9eomePacMrD2nOac9CAaaPZihlj3zlZQ9r9eVPQPlhT1QdHk92hSAPY2mgT2J4II9m8CLPZKWlD3NV4w9pu2DPTxWgT0M0YA9U46FPet1iT1RzIg9r2CSPcjUkz2UpZg9ZgqRPV5Dkz0yd5I9ZU2CPXG5fD3VeIQ9dFaGPfcxhD0+MIA96G6CPU+Pgz1A8389PYWLPRr+kD0dIIo9XXaQPYCAkj0Nx5A9YSuFPYaGej0KUXU9iEaBPa4giT2LCpE9mh+dPQUlmT007ZI9tRuIPU4qgT2PcnM9XGB3PQ3hgD3x0oU9Q1VyPf68bD07cWg9BE1nPZfxcD2bZ309QamDPfRmgj1GGoI9T7iCPcwkdT2cM1c9iRBhPbVNZz1C8m49VNhlPboibj1DJH09XxqHPYebiz3DG5o9GMiiPTscqD0cYJ89QNWIPYtgcT1DrXI9KAdzPQbOcz1DloE9dL6IPYV3ij0TAYg93pZ5PfdecT0ewmk9D0lvPZlGaz02InQ9dgB5PWNxcj2wfF49cUZlPcRFcT3H2XE9chVyPW/Eaz2oZFE9saohPexkDT1DFgs991AUPY99Mz3Gkyc9iivSPCy/vjyWi7k8VOrDPIZFvTzQEbg86hKuPAGkpTxRMq08lKOnPHwzpTzb1bg8AwGrPGYomzz4vKA847qoPFbzqjy3fqI8eFmfPCJnqzzmbac8pyKlPJwVtTxrv788VCfJPDPDxjycv788O+iuPITfrzwlLL08/ey7PCQMtDzeKbo8O/q8PASerTyPQ7g8VhK8PEDEwTxpPsc8Z43SPPpp1TxJ0tA80OPkPM4F9zzykuw81wPePNaX4Dx9IeE8kYvbPOWG2TxOEuQ8PgXfPMPx6Tzpy+Q8dQTgPMxl4Dxxl9E8Li/HPJMrujzDZMs8LkTjPGRH8TzFZvs8hhsFPV6+Dj2nywo9HWX8PPyd7TzH7/E8B741Pa265D2nWTI+71ckPqj8HD4wPCY+cEwpPuuvFj6VEh0+FMMZPoFkFz6Uyx4+/KAWPnM8ED78WBU+kIYbPj4HHT47LCE+rosiPvkqGj6uQh4+E7YpPnUqJj7ffSw+0GIpPk7qOD6E8zU+r18hPtK9Gz4HhBE+5j8XPnIgNj4g1kg+42xNPke4UT6qwUY+3WYZPowoNT50Ols+g1xNPiHBRj7y2T0+B05HPn1cPj6CRj8+jNMxPuepKD5lYzM+6EMbPgA1HD6WAi4+QBocPu+AFT5yLB0+6wYoPrdnJz5OGi4+m2MpPi6dLT5oWjo+al8uPgr0LT5BMS8+2880Pq/KQj50qUI+aDc4PtYhLj4ORCw+eJsOPsoJET4FjRE+w9MmPiA9UD7ntEw+GqiIPuBQcD5j3lc+EwMrPhCnNT4rzjQ+38ExPnirLD4NbSw+PPslPi48JT5UkEQ+9jxdPtmiVD6iglE+uEJOPujwQz7UtDU+J5xKPmILQz6k3EI+ad07PtaeKD4FRyk+lh4uPu2nLz6mzS0+N/4wPnJ/QT58LTg+1O4zPqs8Lj5mMTQ+S5AzPtg2Mj522jo+17FLPqOnNz56Mic+twIYPq7hLD7DhyY+v3saPqmiPD4LkT0+mWUvPsvaID5BNRQ+2CgOPgXpEz4Tlho+8YYdPibdNz5x/Tw+5gYgPsRvIz50GkQ+RuNIPlzZIj7t4Qw+qg4gPnB4Jj776yQ+8JscPplwKz6X4y4+e4gYPnWGEj58mBI+IMYcPl2WLD5FMRo+ddAgPvuRMD4vIUI+r4hIPoXWNz5wPSo+gn4iPtRSJD7e9Sk+x+k6PuVdRD7xfy0+1lEuPr4wLT40AjI+PuYsPptaJj7XiS4+1iQ5PgxlNj6prTM+hsE0PjhHQT4dox8+jf4VPmeKFD4wjR8+5wgkPnT5+D1otro9ThEsPTgfwDwYCKM84VarPHrzyzwaxdw8dyTmPHqI8jwvQfU8p4flPAGU4TxzFfs8TUMQPfCKED2WyQk9QnkLPQMuBz0mhgw9/7MePRUxKj0VAy49DW8fPaA4LD2T6jw96c9CPQr4PT1/Wzw9F4YwPe/WLj18dDY9GN8wPZeVLz1YXTA9VQM6PaFtST28qEQ9YPRAPQDARD2awEo9oV5WPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8iY4Y9g2mIPSGUgz2JgX89bkp+Pb68cz2pKWc9qatkPURIWj2AL1Q9HG1dPbdxcj2xO2w9VtVcPR+gTT1rkU49FGBMPYPoWz2mvGE9S9RNPT8nVj3/12E9fzpnPb/Dbz30QXU9xlZ9PUbjfj3rW3E9MmtkPfAHVz02E1k9oZJUPVf0VD1NtVw9oKpuPZwOaT0bblk9cIBqPYYXbj3tUW493QV0PUC8bj07xHE9R655PdrteT2mZ2o9bg+APRuqcj03zGg9MLxnPbsQaz2sgXM99yCGPatGiT3AjXo98rBuPYbFeT2qo4I9tEx5PZxiYT0Pu2g9R+SJPZgQlz3Eq5Y9nySRPasmjz1QrIU99L2MPSu/kD2Cj409HcmKPcbYeD3Et4Y9aAOLPdZYiT1/DIk9l0+HPbp1ij1Rbno9lnNZPb0iYj3E6209eDp0PdhZej2YUGk9DMJqPfgLfz0kA4Q9OR+NPZpNij0T3X89Sf+HPeFrjT1x4I09Ol6LPV6zlD2UW6U9SDKZPcLwhz2r84U9HmiDPbLjhj0l1Y891juSPfkWiT3o6og9OKSMPSXDkT1KhpM9+8OQPTbYnz3LD6Q9tEOdPfE8lD315509ZTOmPf/NpD0mB5s9OcKbPVRnnD1SJJQ96WGNPcG8gj1w2og92VCKPUiyjz03mIs90bqHPQ4/jj074pQ91iaSPSumkD1XgJg9EPSgPfJFmT3i/ZQ9Y52PPT54jD2iCYo9N32DPVHzej1SQn89ESN6PSMqbj3ho1I9fWJSPR3QTj38EEo9TGVOPfeiTz0f5Us9uThEPZJmSj0VR149MkVqPSh3bj1E7XM9exCEPdgPiz1elYo9R7mDPeCJej03lI09sTiRPdKxkj144qk9gxqnPRX4nD2AyZg9Jl+VPXd0kT2ufJA9EQCQPVzHiD2MN4Y9IduHPdAQiz2r4IY9QvyIPULYnD17Fak9lSKhPSFMjD0M0Yo94MqKPaFekT1q3Jw9+rKwPcEYpj2nR5s9WPabPZPhlj2Prpk9VcWyPbvRsj07oqE9wliZPffGkz1Jm509uvObPcrGpT14qqs9sDi0PRHNrj1ENKI9agyrPdMRnT3sT5E955yTPa+hlT0wW5c9426YPXTzoD2vpK49+PSvPeaHqz3s4bA9EA6sPdQirT1wBa09JGioPYt/pT1VY7A9+aGzPQsmvz2hf8E9iVKxPdD5sz0BRq89zxKiPXzTlj2ZWo49YzGJPaMagT0BLHk99ItyPYkiez31nIE9o0iIPSeLlj2y3aY9+xuuPY9XqD1zeJk9kxOSPcLLhj1YcZQ9YfGuPbEPvT3yHME9mQC7PRNnoj1HuJE9lRKLPYXvjD3vn449FjWJPeBGfz1x9Hc9gbOKPcg7kj3cEZY9zM6kPRi4qj3agqM9xpmbPdhtlD0rr5E9jqOQPaw3hj03QoY969OKPcZYhz2zx4U9wQ2KPVO/lj1P5aA9sryjPbyzqD3S1Kw9/yizPS64pj3BO6U92SClPQJDqz3wUqs91zypPdC6rD1EE6o955qlPXNVpz3gs6A9b6CaPVhalD3GYYI9sw59PdzEgD0LwII91HyBPbq+fj1IgH49riV3PTOFbT3IknY916aBPXhylj1OG549GeqaPUPRpD0Xr6Q934mkPRz1oD2ZAp49QwWSPW3bfz0P/nc9iMJ6PTRmgT3iT4U9QHeHPei5gD3+VHQ9C7J7PWBYgD2YFXc9H3l/PdiJhj1Nh4w9voyOPdAhjj0XA389BE97PRGWkj2lJpg9WNeVPYb6lD3BuJg9Fl6UPbbaiT3rD4U9T9WDPVlKfD38B3Q9jLVvPcI/az2xd389QpJ/PaivhD2WFY49NfGHPUnwgD1/qmo9giFnPW0yYT0eX2g972VoPU+rcj2zGmw9GeptPSSxbj0+sHA9diuBPZHohz2EK4w94ZmRPTF+mD0EN5c93NmMPZX9bT3tCmo9Mm1pPbcFXz08VGo9N3x+PZkUXj2642U90EdtPfe8cD21BmI9n15WPSz7UD2gPkU92AZMPXt1WT1mkl49YA1YPb2SQz3OqD09Kd1BPRXcRD1efSQ9/7f+PPlm0Ty7w7k83sq5PCL0tzyJOsI81mvPPN/Otjx+2qw8v+GqPExGtTz8Da883F2rPPOepjz0o6c8UjqlPH5coTzH56I8ZPyrPBF2sjwZm6E8VyucPLFInjycWJ88isWZPP3onDzfPqE8HzudPPGhoTx5XbQ8bK66POAMuTzVvLY8xya0PEoMqjy7BK88pZGuPDm1rjwrNq08mt6vPP+FqTzqHrY8VvC4PCxYuDwmh788bSXNPOs34jx9pOA8zX/oPC+m5jwJbug8KW7iPIfs4jw8eus8yt7YPAr/3DwJnd08S7XpPFqW8Tyfc/Y8s+TkPNSrzDyfzMc8FfPQPKxq0Dw5z888t2jVPOeq6jwppfE8yyb/PFdfAz3RXAo9JgMMPWPCBT1+B/I8QdPkPKk/Jz3lK7A93F4rPsSMKD6a1Bo+CB8hPn6ZHT5TtRM+XUMUPqFXGT7VkRc+OSgVPpLrFj4WnRg+EaEUPgFXDT6rjBI+6bMXPisLHD57ziU+99ItPgGjLz6T8Cs+lYQnPumgIz7BczA+qPUkPnjvMT7eziY+AdcdPqa0QT7PKWQ+0OZBPh1uOD4JzTk+7As2PjikID5HyDA+WJo+PnW3PD7DAk4+IJlRPj6xQD5u7SM+rzghPpeGHT6xViY+e28lPmndHD7Aoys+HwwsPvryJD5Iyig+qgEyPqcyPT5M/Cs+C/okPjAhJT4rFi8+lEAvPqUkMD4I2j8+4yI8Ph5QMj6joCs+dqIsPgIILD4gnx4+uAIVPjcRFj5aSSk+7iwsPv71Pj4f5V8+ByhgPolfhD6a5Fc+hspIPpiaKj5smTY+X/0tPmMKLT56gSY+jCAqPnFjLz7HpiI+fYg0PqvqXz7rJVs+jDBWPpSHTD4Gdz8+qTQzPgOtQD7InT4+DKo9PgNBKj5Whg8+MJkUPvloEz5myRM++jgSPg8dDj6kPBY+fWsfPqJOQD4n+DE+l9M2PsZmRD6TgUI+ywFUPt0JSz4YGjo+bPgvPtoLEz5l3RY+mzkmPsexIz7tnzk+OkZEPr3/Nz6p1CY+TtIuPrIJHT78ExM+lOooPvw7Rz5UZ1g+d20yPkzk/j2FxBA+ZDIxPtq7RD5a2yo+iIcPPpEQJD5g4ig+JcMgPtM+HT6t1UI+f80xPmr2JT7ETB4+zToiPg6jOT5IIDY+EE4rPm0pLD4dhS4+7ZIcPpIcGD5fSSU+iIwxPkBTOj6+tzg+clxCPjGqSD6lPi0+i7wCPtCKCz4diyM+/L0kPmPFHj6FhjA+6kUkPnXRGz7DlxA+OR7+PQkzvj0936A90y6KPQijej1YkGE9lidQPR5eMD0cnAo98zbePFHuxDyQi8A8lLq8PMX70jyFltM8vNTOPETI3jyh5+08HlH3PLDt8zxqg/w8cvALPeppHD1J4h89NTogPY2XHT3vHBg9LIATPe1hHj1bmyM9i6YkPWffNz0duj09v6NJPd2ITD1XKUo9SjRLPamzQD3DDkg9WNpLPYNbVT3LP149XixePeDGVD01UEY9AmtIPU1zWD29DWg9XIdtPSr2Zz0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/3QWOPb/Diz2o6Y49z2SCPVoWfT1js3s9V0xsPbfZXT3Wr2g9A9xhPQF5Wz1eWlw90iliPd6GWz0NYVU9/JNNPZ6IUD1u4mA9NB5dPXjqVD3a1GM9bVB5PQL9gz3NDIU9A5h6PRiqVj1EcE89bv9WPQ5JWj0ZDU492rRRPecMXD1lf1Y9OWRQPYBzUj3+GFk9I59zPRkEcT1XDGo90IdrPcygZz3R2WI9oRlxPSBxdj0ZOnY9/VB6PXq1fj2QGmw9hfBzPbW7gD0GG4Y9zVuGPdNbij2uaXU9FrJXPV1jaj02yXg9OSxzPQmUbz27BWk9pchxPVSdeT2VaoM9MbGEPb1KhD1gnYI9/gN7PYsQgz1yFIM9Z/Z8Pa8Yez2PdHw9fimKPRcdhT0EGIM99zB/PTcdfT1VUoU9WwpvPa6BVz1J2Vk9O8ZdPRjnXz0FNm899lGBPcV1hj0PoIw9qe2NPVi+iz0wVnk9QMyEPeHjlz3YoJ49O+ycPXSKmj1W7ZU9JpCNPdXTgj1n/Xc9yq6BPZ0Qgj2jjH890W6BPTHgiD0onZA9XDmTPYixkz0ySJY9eHKWPU79kT1McJQ9JtCRPT5qkT2PaI09nlSIPbg6iT36QI49NH2IPbuCiD0TVIg9GwCLPeOBjj2roI49VpmOPa/whj0iGYk9/LORPQJ+jD2ndJo9m6SdPXjGmT2re489cVySPRqQjz3fNYs9pmOPPfO+jz2qgY09CQqEPY6cgT2mWYM9yyGAPZhldj37Kl8940NlPaZeaD0uxGQ9orNqPfC9Yz0L0VU90zlQPcHFVj3cf2E95nJqPSCqdD1YkYM9sOOHPVDrmT2Smp49PQeSPVRxkj26pJM93daRPXb3kz2JWbQ9yruyPWZ9qj2HP5k9X6CbPXjalj1JDIo9xdmAPWIHgT2JSoE9c8J2PVSndz2w3oY9GrWUPd6tmz3dvqI9JXiqPaZcpj2DFaA9TIKbPc5bkz0NtIc9ClSMPZAMmj2wCJU9w9WYPX9BmT0wcJc94degPSYZqz2Wq5k9IvqWPcNYmj1lE5c9wjuiPSstqD01Mqk9ooSkPYK8oj3lhJ89h2qRPQm6jD0qG5E9rV6RPfi4kT1GQ5k96oWbPTJeoT1xAaM937aiPfv0pj1w/649At2hPSs2lD2+9Io9lGCXPU1FoT2bGKs9FLnGPRbTvT2fV7I9nmysPSWvoj1s8pg9lNiOPTV+hz0pAIg9QrSIPQ+PiD3yE5M9NHKEPdCyhD0eyog9uSqRPQpXmj2VzJo9iymdPXh2oT03WJk9qOiQPQwokT1y4Y89gnWgPRhNoz3SMJk9db+QPSqxjD0+4JE9tKONPVaXgj0VGIU93euMPS2njT2XHIs9CgCRPcOtnj0wvZ49AfuePVzKnz1u7Zg9GXeVPZXhlj1vVZM9kr2SPUUMkz0qEpQ9RfmdPdq+jD1WJoo95pSWPQz1mj1cZqY9NiqdPfeSnT3p2KQ9DEmtPR+Irz1va6w93tWtPeKUtD3fVbo9l9ynPVraoT3eiJs96jaaPdvImD1mO5Q9X+aQPdACkT1o8pI9fJGIPUDHgT3Y2Iw9ztKUPfU3kz1Cy4A9XkNyPaT6dT3M0m89g9iBPcNjhz2IfY89KuCUPQsblz15kZ49f7CqPTf5qj3n4qQ9tOqbPR5uhj3zjXw9/9yAPVCigj1c8YM9+a59PUkxiz38t4g9qTZ/Pb6Yej2RY3A9/CSBPeIsgj09A3o93B2CPUj8hT247Y49rv+HPX76iT2ExJg9RQiOPaILjT2KUYw9SKuMPV1CjT1nsYU9pWaAPaJkfD3saW095IV4PQA2hj2de4I9yXGGPQMbiz2A8pE99NmKPY+yhz2eanc9/kxePWzVWj1pr109KyBnPRA8bj3H8nk9pvJ5PUzfdz1Ta349b4WNPftQlT3Qe5I9R+ebPVsmlj0a8YY9ZUJzPbJyZT3gNl49Pp1dPQsrZD0JeWs9ZultPSKZbT2+ZHE9pn9zPS+RcD26nmg90+VYPRauUT2hOzo919AsPeTkKD1okDM97H0qPR2SED2fq/88wbPxPN7b8zwHEeg8sd7HPBwrszw2LLE8uUuzPBoGszwKt6s84nCmPFsZvDyeqKs8b9eePD4wnzwSX6U8lAGyPCZ8tzwkpbA8x/asPFngpTzSM5s8BFeaPPb1lTwkOpo8vq+fPD5qqjzhlK480QKYPF/FlDx58Zw88XSgPLttnjxwkJ081FyfPIK6pTzThqE8UdqlPGg7qTwQhKQ8IRSlPLmmojwY0a48sRinPLQNozyIQ7U8ubi0PBm9qzwxLbw8ilHWPLxf3jwbdOE8PNrTPEI16DwFv+08QlvqPAsr8TyeIfQ84MrlPMnqzzycRsw8dBzgPA2i6jw0lwY9cKYMPfwS/DzHHOk8N8btPKuV8TxNues8a/b1PBQe6jyMKvI8ajkAPbHkAT0hTwY9vtALPUtcDT3QEgY9GFgGPXVNBz2WKGw9wm4APnSPMz4ktxg+jDEPPulHEj4VyBo+XO4UPi8pFj43Sxo+qLQZPt6HGD7coA8+zo0ZPvFBHj4Y1w0+sGwLPvgkDT7wDBo+pG8pPjvdND7Vrjc+QNU/PnmbQT6AEzI+dzgaPv99LD4YP10+Yj0wPnFUIT6aGC8+IUo1PtXUHD6Aex8+x0AtPmXELD7o9Rs+YrItPk7tPT501zk+0EguPrJDLD4KhCk+TtEpPlb8Ij4KpyQ+MgguPveILT6xsCU+QhEjPhcLKD7EWjc+OkodPoIHGz5P/Co+w3IvPou5JT7OdxU+0NUgPn22Kj743U4+IwhSPu3APD5GIDM+tz4wPr/gLj68Eic+VxwmPoRpMz6p8TA+YRwwPhblNT7IBEY+Zh5APqNhRz5cgUc+fAY2Pm2NNj6aiDg+uaM9Pqn2Oj5ZmT8+4G1PPs9oTj45AEI+G+ApPuMRMj5tJ1I+6jZPPr70Qj7VOi4+WDkrPpIFLz6F3js+hkA5PgNLMz5fchs+9VoNPorhJD6d8jQ+XSorPn9ZJT6/ERM+l8sVPiX5KD5YbkU+/B1ePq01WT6cRUo+gNNIPtd0VD5hijs+3YMlPnF9Ez7vTQk+L9ITPjp/LD4K8zM+/MofPq3jJT5q7SY+croePl6vIj7sRDk+DnRMPggpaz45IXQ++R5QPjkVIz636Ac+7akjPkLXMD7AbSc+i5U4Pu7+IT5SUyI+l7olPt7LFj5zAyo+yw1ePkIWMT5fXxo+akUXPiWkIz4QUDk+J3AyPkJDFD7/VPM9vXMMPjJEHT4BYx4+CmQ5PikFOj5vPC8+4cA2Pi3QQD6IYzQ+9NMlPkX8/T1V0N09GzPkPSgq4T1P8NM9WECyPaXNYT3Q6CE9qRXbPCVGtjxT6pk81AygPK48pzwab7o8LfTIPN+izjyHK808q6jNPHuAzTxUktA8MfrdPCgy5jyDePA8UGPwPMNmBD12Ivo8F9P5PDnl+jxxKQk9uO8SPRt0GD2nkCI9OLclPcfbJD3ubig9dtEzPUl4Mz2Q8jw9jFVHPRcUST1uwEc92d5APcD3SD2Ae1E9GQxQPfCxTj0TIEw9iEBMPfRTUT0IBVs9prVYPbYmWz229l89am1bPX2cXz23nl49uNtdPbMyYD21jl09AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfz4cjz06wnQ9AohnPcRDbj01S3M9KHN7PQ88fT1db3g9RSBtPeClZT0Gf2I9HntkPT00Vj32F149ZiJaPRtUZT0c8nE93PhwPTADbD26+m491t1sPYm5Yj0sKmE9mRVrPZ37Uz0E+U89W8hbPb5HVz0seVU9IrdUPWcfTz0gGkk9wspZPSFkYz2/W2Y91lJ+PbHDgz16GYU9XqiGPc2vgD0H3n091MN+PR7rgT25OYY9u1aLPdqPkD2TepE9/WVzPRkeZT0RRFo9jvRjPXLlaD11C2o9nIlgPfgTYz17VHE9qw9uPZspZz3//WY9hJOCPaBuhz0TR3w9AbeEPcE8iz3CnYs9npyMPUnUiT2hEoc99WyDPRBAgD1bNoE9vV6XPZ6LiD1rt489exmVPaGxjT2z6Yg99F6JPdSSgD1Y1mA9FlJkPYz+bT3nXnA9g357PYOBiT1OgZA9GPKHPWNSbD0J/nw9SFaNPWLBmz0r36Q900GTPVnGkT2uVZ09KemMPahuez2Ze2w9R6pkPbzndj1lQo49NqSUPTLElj3+iJI9QuqaPUgDmD3DRZc9zc6UPfbriD1lqHU90uZzPS0jej3OL3k9ozOFPXoBjj2XIZM9p8OQPWPGhz32Zoo96DOHPTkjgT2coII9DDWBPeOLij1oEY498o+XPUadmD2ICos91GCLPRCzlz3VWpg9yi6XPTXvlD1yXZI9Ur2UPRYfhD0Utog9cG2CPT6IbT3cIGY905hgPbHhWj2gTl09FvZcPaioXD2tmWM9EvlyPboGdj0+d249oExiPSO2XT0++1U92YRjPT+ecj1/BW09Pxh6PcDGiz0o/589OsmePUu9kj2tTJo9BUyOPfpngj1vO489vZ6LPXl+kD3SmpM9wS6PPf0Nhj3+eIo9eXR3PfkBiT2Auow9kTCNPYfchz3ECIo9t1GNPf3kjT06JZA9eh6WPfJBqT1ujKo9062gPYVQkT1K+pM9l4yPPWsWlz3hTqc92pCrPf7voT0rb5w9T8ipPcWjrj2zhpk9ezqOPQ+3kj3OWZg9QNycPVPepz0c1K49/iCsPes2mj2joZQ9KvqaPUUQlz2pVJg9ZcqdPQzOoj32yp092N6kPVxXoT1Wjp095byiPftsmj2Q5pI9rSCcPdUfoT2Xq5g91MyQPW5lmT005549LzS1PVV+rj2+n6A9qzqgPQaVoj0fsqI9JmeiPaEpnz0jZJQ9crWOPQE5jT3GKYw9HHqNPZKlhz29XYw92MyHPRvhhD0GzYY9xGaUPZAsrj1d4Z098n6QPeohjj3kHJA9iGWbPZc4oz2ADZY9lr6EPc4vgj35doE9xNqCPQTHgj2Kd4o9hlOWPf6zlz20/5U9H9aWPYVSkT31spo9v6KpPWaGpz3ZB6Y9VfWePXm9oj1jQqU93nSkPRP2qj1LBa09jiybPSbBlz0d35c9GFGWPbjBjT1PEIs9NaSSPWLumj1e9pk94gerPej0rz3uzK49JdCrPXogpD0sCKQ9JOGmPWNFqj1eB6s9cUWrPWp6nj1lrZs9KNKbPWaLkT3tgo49rWSGPd2nhT0nK4k9wimQPc8jkz3AaYo9JH16Pb38Zj0293g94vaEPTsShT1xKYU9QxGPPX0wnj19wp09Z86RPe74iz2gaIE99T54PVrEhT2IVIQ9caSCPa/YiD0VfYQ9jCSIPRROjD1/7JA94daTPUyjij1V0I494vOUPZm1mj1BFJk9uxKIPX/vhj3X3Yg9gfSHPdxQiT3yEYg95wV8Pb1ydD0ae4Q9lzWIPaT5gz2d2ok9yKGJPZA2eD0apXc9eXBxPYdbZT2StnE98DGDPRiSij3LBIU9pviBPU72gj1FB389mGN7Pfeqgz2074M9CZiDPWmAhj00coM9LiKMPcV1iD38t3s96I99PRxRhz1qIYk9kVSHPU24iT09/JY9G82ZPfS+ij2xtIk9ajmLPQ3Hdz0jsm09Ndt8PfTpiD2xboI9RDhuPaRUVj3C+009rDZOPZi1RD3pwzI9d+EwPS3lDT2Mzeg8PmPSPAIkwTyy+MM8zZW3PCbOujyrgrk8OLvBPHfD0Ty4oMc8G9XWPEfp6TzycPA8ZyLdPFXIxTyOBsA81vmxPCRwtzw4obU8xLOnPNg0rjwUEaA8M8qYPCSzoDyhZ548/fSYPJmtnDyksJ88CHaePIlMqzyiabw8WmC0PNrNoDz5rZ084QmfPPkNqTx+mKw8wDSjPCYbnjzrUZ48tIqYPNrVnzx3a6M8ufSZPOkSkjxuk6I8EhSlPGoamDxnUI88onalPI9iqjwnA7083s3JPPthyDzo+Mc8xLDAPF1cvDy9KdA81sDhPL2U+jwbHgQ9uHwGPWfyDT3lrf88Wa7rPJFd7jzTRe88tEgCPcu7Bj0/GQA9NVECPUEm+jwXtfY8Wtz+PBnG+TxDvfg8SR7/PG7xAT0saQQ97uQVPa8NDj1q1f88+QUIPSAljz1zRLQ9dN0rPtbqRT6GbDI+05MRPme5Fz5EtBo+wR4ePnCnDD5WmAw+n0MTPu/kFj5PFRc+NNUMPn2tCj6u4gs+ZOsPPnf3Fz5B2xo+0SYnPsZ2Pj6rQU0+5pBTPqYPQD7k7zc+KE8TPs3nIT7AAF4+zEpVPiVzFz41lQ8+C1Q0Pj26MT4RHTI+ULk+PtGfJD7H+R0+1wolPh61Kz4KtyY+u8QnPlpkNT4pOSE+KU4OPu47FD6iKRk+bbIPPiPQHj6FAyQ+UjciPvDzHz5T4BU+s3cdPnCgJD4EZyU+2GcaPhldGz6IJBk+4v4RPizyCD4uLQ4+kO0hPuTEOz7NuUY+PZJhPlDAgz7qN5M+wNyOPu6faD74Y0Y+0d44PkAcPT469kQ+FsNDPrgAMz7s9i8+N1ooPvAzLD7SNis+ewUqPrMLLD4QtjA+tT4yPtooOz7CLDo+DgU0PnEtHj67Sxg+7Bo9PuXfXD6sHjM+JF0oPjQiFz6rch0+FQg2Pki7MD7FfiQ+XIcjPvI3Kj6ohy0+rro3PldQRj5ey0Y+5gpLPiruNT5QtRE+rRIYPl/WJz6iLRo+QvYrPm5fVz7ayE0+Lp81PsyqGT4XHRI+IG0iPh0eLj59dEA+Q6YuPlIuLD5GAjg+E7Q1PnwRJD79Ty8+FkJNPgIpSz5eZVE+njVZPnSAUz6OnDg+YUg1PrAXQz4jCjI+xuQyPoIMPT4bcSw+X4QwPh1BOj4cHiw+TiQzPpFbPz4xZTM+rq4oPmt+MT4IRTs+8fQ5PjlbRD4QGTg+XPYLPtb7Dj7kYQ8+BVYmPjiyVD4+eDI+V1cnPmKFLj4kcjc+gKYgPk8jnj0MQl88pilePKqWczwgUYY8f7GgPG85vTw++Lw8qhrAPBUAzTx5Z9A8YJO9PAs8tzzYb748IozJPK3yxDy+LMM8r4/JPB0rwzydp788G/rZPOax8Tz6xPQ8zfzzPKgc/zzjkgo9aBELPV5FED3HaxM9lSgbPc/GGz2Jcxk9TbUfPXPuLz3Lajg9TqY8Peo0Qj3N4E891JxTPd1YUj0+N089egNZPYSHTD0AtF090tVhPdCsVT0671A9HNNVPWSuVT1yTmI9Ri1pPXwwYT0Wu189Fq5kPZghZj3obHQ9ZpRwPf9aaz2zHGw9xdOCPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8ZNWE9wbxwPbQHeD1cc4I9PK59PV14dz0nbXM9WYZkPZB+Yj0vD189EeRkPTmUaD1xlVI9HCBZPS86Yz00G2w9EnlsPQVSaT0r62M99U9dPUDMYD3Vi2k9FoVvPeabcD3zh3E9CrNRPZI6SD0Ef1890th1PTYteD19U2o9q/xiPQuqYT1w9W892NtzPeAtdT0TEIA9CA5/PUz0dj3yznw9V/eHPQckiT2GC4I9iHGGPXR9hT3GzW49rclZPVnpVD0L41g9csxgPXXQaj0N/2M9SWllPQnuZj00SXU9039/PT/Dfz2QfGk94mdbPc2mXz3z8oA9oRKSPQJxlj3m2Y09V/NkPRuvXz0YPHY9FJSKPYptgj3c4Hs9JgWKPbPrjD0nZY09eXiQPad2mj3n+5I98FiCPRDQeT36flk9I5xXPXnwZj2JY4E9wmCOPbebkz0fwJg9Gid7PTshYD1goWs9uVKFPZxxiD1Fk4w9JtOJPYDqdj3Y9m89ch+DPZudej0XNmo9dDyBPUPLhj3e7ZA9pSCfPZIxpz2e47M9NJGgPWmNlD3EjIg9P9uEPVRGiT0NOpE9EluSPdMliD14/Yk9Kg6HPUr5gj1NEmw9GeVzPdbDiz2JGo09BYaPPaOuiT2gcoE9MnqSPaiCqj36Ap894FqYPRuqmT06p549bs+jPR6Alj2ZWJU9rheRPRO0kD3gyJQ9tKiTPQjBgT2tX309k0mNPSdMkj2XAok9F1l5PcKLez3cB209WURkPRGqZj1MHWY9Ps5xPWpWcz2p2Ww98XhhPR4DWz1ckls9pfptPUm6Zz1Bp4M9jB+HPac7iD05cZc9m/yRPfPUhD3FPYM9NcWEPXLWgj2w/H49fjiMPT8Lkj1Bq489G7WMPSQ4hT3DVoE94q+GPUf1kD1QkZA99raFPfPphT3q2I09oPObPfWmnD1Xb5A9rBOgPWgFqT09uqQ92mKZPW6CpD2frqU9HbicPRhqlD3b2qM9qPalPQPbmj3z7pM9PieSPTyglz2csKI9RECMPbyWjD0/LpE9P22MPViqkj1DN5o9VbqWPZjujT2ymJg9aMqgPSnBoT0vg5Y9X2ScPYqfnD01fKA9RJqlPbObpz30aJ09E3ubPVtRnT3Zvpo98syVPZIAmj3S0KE9TbqePZttnT2u8Jk9Y/CSPamQjz0875E9UmmaPe/Toj20wak94+mvPbGhrz32j6k9NhOTPX8hkD02spA9IlyKPcXThD2cfXU9Cm50Pf5TZD1xrVo9BW5pPep3gj2yWow9t4OQPT1MkT02DI095o+OPTNIkD2iWpU9djKMPV5rhj1nK4w9DnObPYHhnj2R3pg9NVOKPVkkgD3/r4U9INSMPbsVjz19IaE9ZPa5PRmeuT0b1qA9nRmbPSZNnD0L16Q9512dPVQ4lT2U6pY98mKOPTAVij2oZn891+qBPZg3jT2zPpM91aaOPeisjj2oRZU9IZGhPe1xsz3YA7w9WVymPdBmpz1lrLY9/k6zPaxnrD1rI6U9DQiYPTlrlT0E+Ys9kx2CPWaqhj3Wvoo9yyeSPZRKkD0HOYk973uHPbFOhT3rhXk9d4l7PZ10dT0lkXM98nN/PeaGgT2SAYs9boaMPUe8jT0Gk5A9SbOMPfClhD235nY9ehJZPQhIVT18KVk9wUZ3PRyQiT0dFKk9Cj65PbMPtj1J1KQ9LtqYPXrhnT0Wo6Y9GoOVPQLykj1PeY49WHWOPeQRhz3d+Yg9UjSHPVsmhz0DsYI9OpVtPa+dbj22e4Y9Z32PPcsFjD0QCI4993OQPen9hD364HQ9WpSAPWcxgD2d5II9+yOJPTSQkz1M+ZY9IsWNPUCqiT2qO4I9ADR/PXmWgD1RsX09VdeAPYDRgj0xpX49HH50PdOyfz1UIHk9g3KCPZQohD2tsJA9KAWePSI7mD1MZI09LQ+BPbfGeD3sdYE9zK+APR9feD2z7Vo9CeZVPe4sXD1VL3I9cQ5wPXNRTz3CLEE9vqQ+PV3qOD0usCY9nc4GPcG5Cj0Katw8GGe+PAzuwDx1AcY8Gs25PMooxTzxlMU80LK9POULwDwlO7U8nIDGPAkZwzxD1rs8u7HAPBqIvDw6dLo8QWazPN2ruTxsHLI8JKOuPA3EqDyV2KM8Y56ePLSJmzxxkpw8sXWgPHUZmzwqSpE8JAuSPOMAlDwYxqg8c0C4PEwEpjyvlpg8TCKePO0WqTypOJg8Ec2LPMS0hTwDgYw8CjaePCttmTxQWpk8wrCUPKKVkDy7To48WwOXPD5MmzxmL5o8+D2fPFJrqTx1b6w8Sha5PFfWyTwyRc08T3nSPKod0zzWydU80m/oPJ0/4jxSMOo8apT2PCbrAz0VnQY90i36PDo29Dz8l+s8Eh3oPARI5TzDZvE8aBb0POkpAz1d9AY9wQ8DPVQq8jzzmf48NBYGPZCaCD1y2xY9sYUaPQTWGT2fbQs985f4PHX9FD1U7qk9wYsrPhPEQD5HqUM+sUwqPgGyGj4tnh8+LywrPmh+LT7uzSQ+NM4UPp+VGD7MJh8+UPIcPh/PGj5ZohY+2JEbPn5SIj7VdS0+eKQ+PmOgQz7IGVI+K+lGPj/NOz4iTio+vDA6PpxcQD6KoVs+/k5RPrbKGz4sOhE+IlUkPjMzJD5S+hk+8c0uPn8EaT7zBHs+RzaVPsINlD5+NIE+5ZE+PmcnIz6y/SI+a7YePncIHT4tKSE+vUUqPs7aJD6crio+GpMaPjm3GT7dvx8+c8UlPtJAHz7gTSM+H7k8PqJlOT76HTU+p5AzPpmSID4Ntxc+09YYPqTcFj68iR0+G5FHPtz4XD6fE1Q+zPVyPqp5bD5fj0M+nRwePn7lFD6lziE+4awkPujFJT6uIyQ+hrckPl/QIz5eEBI+9S8cPiopHj7qISg+wpohPh3GLj6+wi4+vlo2PqwzNj4ZMS4+9XglPtN+HT7s9ic+R1wsPtVhKT5qUh0+r1AVPiXbHz50jig+1gIwPghiMT7JXjg+yfBJPhkNNj5JmCo+1EskPoUvJT7SyB8+jYgaPvCHFD5OvBg+71cmPjwULD5CrCo+4kQlPrXnRz7zCzI+OcoiPm4LHT461SE+08tSPsunRT5E+z4+rgBIPtpNRj6r70M+8Og/Ps+nMD64ajI+hekyPplEPD4wvDs+yMg5PoFNQD51QS8+3NExPo8cRD6Q5Uk+Mhs5PtIlIz5DMhk++t8dPuOnGz7c2CA+2ZQiPvKdIz5aZxw+f88fPrriJD4nmiQ+gkAVPufhHD6I6DI+n79JPjhNSj4LTUA+Cx4pPv6hDT77XM091NKZPSR7JT29/H48hq1kPPtFgTygcpI8ZkSaPNd2mzwL0qU8V2qtPHaFujz7J8A87V+9PNt3tjz30ro8NDTMPItS0zwJ0Mg84Y2/PFIjwzyyCM88e+jnPIZ7BD3qYhM9E78WPQT3GT0EVw89W4EJPfewDT3UDRU9e8gTPT8eED0HGxc91+MePYBFID2uxho9dTsfPbBULD2oADU9appAPRmsRz1qS0U91KFKPZ6oUD1/MlY99mpiPZVQWz0hmGk9KIRzPVlGbT0zYGc9zcttPVq2dz1D3no9tKB6PRjygD0kM3o9mpN2PfvWfj2e+Hc9I9dtPWq+bz0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/dVl2PV3cdj0wT2Q9hBBfPea/WD1HPFg9KPZYPbuqZz3DUWU9UoxiPWDIYz0y0GQ9jtFdPUanXT2/UWM9Me9kPQxlYT1hVmA9uodbPZHdUz3Oe1g9cABjPVhmbD22w249mv5qPQVFdz2O52U9YsJZPQwFaj3mYG89n19iPaFZYj0PBmM9EuJjPc05Xj2f71o9RJpkPYWSXj2z7mc9Jfh2PcOgiD0MaIs9MUCFPTlFfD3keW09lAFpPQELaj1Y82c9NgFlPU1FeT2D5Y4936yMPbLzfj0U3H490G52PRWqej0HFIA9xY53PUTtdz3cW3c9F8CCPReniD1amYY9WP6BPbnggj0KR3894TCDPYMUiD3m04Q9l3pwPdsecD3Fdnw9rz+DPQuZhD2haoM9sHp3PREcVj2aHVw9IKhrPS1rdz3bWIc96tORPSqklD0WKZU9cgWJPQp2cT2pxXA90aWBPaj7iT2SOIw95NeIPd0XhD3kqYU9wsFyPccHWz1C32A9qAdvPReAfj30UoA9jfSTPSOZpT0NH6s9T225PTeIpD38MIs9wfuAPUMwkD3V9449cEyUPW/6mz3Lgo09PaiAPccCaD2sD2Q98rp8PebciT2TuY49WeuWPTS5iz1UeYA99qyBPYTukD0zW509k4mPPcJRjj1yo5E9IV+UPeJalT0Kd489F4luPeNnbT2MsXg9DRyFPT8+iD2/oH49RXlvPRCUbT1FWG89jaxpPQS3aD385Ws9hqhjPYg8YD3Ct1k93F9cPTHscD0LgXA9NVlqPc84YT0QTWI9g2ZmPSR1aj0SFXo9DdN+PeZDeD0rNXs9LPJ/PRz5ez17yX09nuGGPcoKhz2hp4Y9ZziPPYo0kj02k5A9A/6KPWpAiT0ZsIg9QxuLPaUiij0Pgps9jMepPdGoqD1Rg6Q9c8qhPX+snj3UIZA9mwiEPepXiz23yI89sJeRPUA3lz34ZJ49qpOiPcTlqj0fnKw9UJmtPQUaqT0OF6Q9Oe6pPZrfoj3nUJs9E+2WPXZdiT3Vpos9CzCQPcOalz0aaJo9gWyRPR74oT1AJ509kV6pPd16pz0mLaQ99LCdPSqCkj395ZE9i/GVPacFlT1m8ZY9+T6fPSy7pz1WQKQ9uhKbPaUVpD15eac9Q6+kPWtYoT1AMJg9UW2VPdhmkT3bx449HYqPPWXkmz01CKI9jnKmPWXKpj2bEqc9ozOgPSplnT0GQo09UOGBPeUldD0F2289azdePdITaT3Tamg9ycFkPb8sbj3jl3A9/KOEPcVHnj3Gf6c9h9WVPdjnjz3N7489IE6JPWr0iz35xI49PJ2RPWlSlD0QCZQ9ap+QPUxhjz0vmpM9UcqUPYyflj3RMJk9ULqsPWGlsj2Ypas9kSedPScVnj0/daA9HYaoPVl6mj0h1YA9oEx+PQS3gD2zFYE9wRKGPSZTiT03C4w9Fk2XPf/KoT3qJqI9jN2dPeG4nj2djKQ9H72lPeu/nz0DfqA9aY+lPeHwmz00G5s9AZGdPfzsoz16T6M9DSKbPe37kj2PX409lfKIPQogkz0+jJI9ZZyLPWRXgj34lHs9Bgd5PfaKbz173nI9LkuCPVpDhz3XwoY9teh8PcLkdj0/SH49dd+EPZJzhD2Hr3Y9NTR0PZIWgD1JaYA9rNWLPatukT3z3JA9B8iQPfo9oT0MPaM9rU2aPaKpkD1r2JU9P/uXPUiLkT1brY893LGMPUyniz3OOoE9Kp2KPUeijj358489d3OPPWEsjz2TnJM91jqIPWnnhj0OhIg9XT2JPVr5hD1hAYY9wEZ9PaFdhT1E14Q9iFOIPQYgjj0gyY49m9OOPes+fT2i/Hg9zXF3PUZ0fz29t4Q92SSQPXuNkD05apI9FCOPPdlkkD31T489/KORPZNRjD1iAoc9QzqLPdt0kj1d95E91CWQPXSDiz0JHYg9WvKEPS15fD0c+2s9GdJbPYCiZT0kE3M92PN5PX6Qcz2SeVc9ZX1DPZuoGj2UPwQ90gjnPHoxsDxf+bg8t2C0PA1uqDzEW6o85neuPFtdsjw/MZ08F/2NPELonjy/nqk8qVSmPEjJqDz7vao8XVKoPBsVpjzA1KA8sTuoPCVyuTzqBLc8oUeoPJyKnTwwSqI8ExObPOXblDyrkJg8PYagPEMnnzxflpg8EEOTPPWslDyTJZg881SiPJijpzwyCKQ8IvmUPAnclzxFHKA8roqhPKrVmDxXPpQ8dtKMPEzUnTw81ag8Yh+iPP4mnDykIZY8hZ+LPNEbkjwlXJY8qqOcPIU6pTy4T6U8KUisPIqnuTzEaM88pQPaPENv2zyeHts8eAPqPDq7+TyVOQE9RekIPd1FEz0mpxU9+hUGPe/lAD1gOgA9ftL6PKRPBT2Dpgg9M20CPZjOAT0wHgo9ZsYPPXZkEz3UOhM9CxANPe1aBT34ZAo9GJsJPfpOCj2thgo9xDYLPSIfAj3h9Xc9rpolPsxWRT6jMkI+Zz4xPkbVJD4FdBU+XEYZPiNSLT4E/S8+Y6QmPijVFz4TKhE+WCIWPtQCJz4P7Sk+dpssPlnfMj5yQ0k+sclNPtM4Uz5axlI+dnFLPo3KSj4hnD0+5x8sPl2gRz6XQU0+jv9RPv5HOj5d0iE+KyolPo0dMT4B7jA+PVowPqDHSj4lJFA+aWBePnMewT7Ulbw+gF2JPoQMMj6rii4+5tJIPsZwRz6UIz4+plMgPhLuGz57iSA+lBwcPtEyFT6aHhE+vi8XPv7iPj5BLDQ+0MIUPmUTNj4ZzS8+trohPjzALj4m3z0++JhJPv45KD4nsCk+1UgxPoN2Oj6TnTk+Y+wuPl8UCj4+lhA+Z2AcPgELNz59xT4+YR0kPmOJJD6NsCo+p90zPt6ZMT73SyM+dN0YPpUpJj7XTx0+odwVPu3YFD6K5Qs+g1YoPsgmLj4fBzU+cMAxPrVcKT7kNxg+6/krPvFYLD7PeyA+eNkUPoIiJT4cvEQ+lmctPoLFHz52Qiw+IfIzPtJbOT6moTQ+MDw1PuhkLj5O1S4+bG04PiVkND7MSyk+tQoWPuJrJT6JGCg+WkcgPmlEID5fjkw+iMgVPiSnEj68HB8+7QgyPtkMOT7Z8S0++B4wPkYgND7a5Co+2i4tPpExMz6Z/h0+BRMuPiu4MT4vny0+goBHPkx5YD5mXEU+rMREPj5sRT4FtDY+8XYhPkL4DT4VXes9NdS/PVR8pz0k74w9jxlrPYegNz1UgSc9XSVLPaZ7ZD0rDZA9OVqkPR/Xwj0PjMo9PgEIPuwpFT4Zrw4+tqrtPUechz3mCRU9QSuZPGL1hTzLIIk83KSJPGGLmTyuVaA8p4eaPHT4nDzy4588JtWzPJqgvjy/PrM8mvq2PLGnwjx4UcU8htzVPBE61jznR8o8AfPPPL684Tyvt+k8dj0APagOBz1cAA89wWIVPZzmEz3WvhQ9PL4YPW/0HD2M1x89XFIbPZxmFT36fxM9sGETPSVsGD2AwR49VpojPUANNj0lIDw9SdZPPUyFUj1FxE09Tb5TPYyGXz3NzGI9quptPX1ibD3gCmc9QJ9tPcE4dz2Q7Xc9HhV2PdJ+eT3hPH09AHeCPTAJgT1qMYA90UaBPQ5/iD1RQI095NqLPciChj3wwIU9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/EEVpPQ55cj3RgXs9TxpxPQ9cbT2bQ2c903hUPURUTT1/pVg9C/ZcPTmbaz2kNmQ94FlfPYCzXj0GuFg9ZodgPRSfYT3LLWM94CRtPRXkbD1OZF890JBcPZ5VZj1ay249xOVtPbLDbD0fTWQ94SxePY8SXj3kcVw9japqPc4AcD2IZn89tX1zPWxJYz2fDV49kVdoPcNzbD2Frnc9hEiEPT3lmj1zrKA9UmeIPYiiiD2mIGE9VUJjPbKEbz3nf3g94I51PawQfT0G3o492ymVPSy8jD0S/HQ9ROh5PXWrfz1Ge4g965KHPXKxeT0tq4M9HcJ9PcIGfj2P7XY9uDJlPfrJcT3AwXg9OkWHPWYEhz3DJ4E9DkJ7PYAdbj2eEHk9N6aNPR78jD2oyYo9GCOKPWX8fz0gE2M9StptPcB+gD1zHZI9XO+KPY2EgD37V4g9c1GMPURSiT3fToI9EOlxPScldD2y0YE9kR6GPUJugT1pM3E9ozZYPTfMXD2jtIc90QKIPaPVhD2c1Hk9T5GEPewFlz0DiK49owO3PSB5qj2jG5g9SzuFPbM9fz1VSIQ9gPeEPdr0gz28ioc9/XKCPcfogj1Ba3o9WYSEPS4QiD10Qos91A+MPSqgjD2kLo49nS2EPR0Pcj3C6Vo9tTlwPUU/hj28jIU9hm6JPUurgz1DaXU9QhdlPWz5ZD3sfnA9ZxB0PafVbT1w9Ww9Uxt9PbUKbD1czmY9uqJpPSeyVD0YgEY9eIZgPSjMbT05l2g9j6VlPexAZz1mVHY9KxBuPUDtZj2W0W49UJV1PSwmZT1rBV49mVllPbQ6Zz3833g9vFtzPY4pXz3JvFs9gtRcPffyaj2qPHs995uJPfQskT0OT589RPCbPa5Tiz00bYY9S46JPactjj039Yw9JbWbPQfEqT0BYaE9xwudPcMvlT1kJ5Q9CYaRPXaIiz37lI49LnGUPbNglj1PnqQ9m2ymPfkpmT03Rps9yDqhPUbQoj3lf549zhSaPbtQjD3kMpg9BRWZPYK2lj2dG5k98gmTPQEZkT2bN5M9WBOSPQoplz07e5g946GlPfF6qT30B5w99o2WPX20jz1IGIU9lE6ZPdWJoD1/bY09K9qJPXcunj1iuJ49dTqVPbWwjT14KZk98uefPdWRoj3tuJg9trCVPdQAlD2Tr5Q9CRySPd+7iT0s1489obCXPSsFnj3GK6E9YACiPVsboD2BqZk9fEyOPR8ZiD3R1Y09U3aMPb5qgj18eXs9OH5uPawjaD26U3A9dpSBPdfWhj3fs5c9JuChPRsTjz2VBYY9usaHPUxWiD2E0o49NN6WPZgglz24kpI9LQiNPTo4kT0f46I9fUCkPQvjmT0X4aM9MuGuPToTsj18BK49026pPSZwoz1W2Z09NS6NPZ4PiD2/z3g9ZctpPSf6YT2jsII92wyCPfRfhT2Z5Yw9dcCePQY5pD2zAp898cicPb9jnT1tUqU9vC+nPYLEqT3BNKo9sWmiPR4BpT2SWK096B2uPQkYqT2/Vaw9s06oPSgjpD0empQ90O+EPb74fz1V9Yg9by+RPa4sjz2ljpc99saVPfh7hD1XMnQ9ALiEPdmwhD2Dv3491jlsPdlSWz3P3Go9V3B7PSuKgz2pQIQ9W8CEPTCHjj2F25k96xSXPYgClj2CtpA9B12NPaoIlD1XBZQ9pMWSPeeQjD2dbYQ9XfCGPYQ+hT3AMnk93C1jPc77Zj28i209GZeAPUJpjT3zS449SouYPdsalz3U25g9jHKYPelHjD3Vi4Y9tDCGPYbzjD1ppJQ9zL+bPQmFnD39qos9it6JPaQiiz0v34U9bCh2PcoIbz36kmM9Vo9yPSrJgT3YZ4g9ewSNPQeHkD1Zm5Q9q1KgPVNlpj2Q0a49toGZPX/NhT0AFno9mjpzPf3sgD3mNos9MvuHPU86hz3cGIY9VY6GPXzDgT38hIE9zFmKPUfzhz3u/IY9SaGCPfVfYj1omD09wBUYPTKACT0Dx9U84/y7PFubujxmErI8/BmgPIDFpzyiv588UTaePGeJpTxQ3Kk8/RyiPCKmkTwyjZU8/H2YPLLtojyw87I8Z1OzPA6opTzAN648uI+vPBOFqzzN76o8dIetPH3KmDyoxJQ8Ne2YPJwupDyIpJs8K7CePFRTmjzO15U82s+WPIOplDzKII08U1eNPI51kDymopQ82KKTPIttjzzCc5E8BbmaPE9Hnjz47aE81IKkPF50oDzmUJ08sjegPAewmzz7/J48JBOjPA93lzyZR5M86maTPJ/QkDyzlZg8I/ObPKirpTyNU7c8FWPMPDZ1zDw3B9Q8yjvZPBUn6TyVygE97pIRPWA5Fz0PsBc9vMEYPQ09FD0DBxE9pkIOPViLDz0o2hA9qZkQPSgzCD3g4gw9ZAATPXOaET3pMRM9yagTPfGPDT1Tlwg9nGMOPZ/4ET2CdRg96mwaPZaAFz3A5Q89KU6ZPfdfPj5R/VE+drpLPqZKOT5+JS4+568nPqsZID7Naiw+9+QnPpApET60nw4+E/EPPv4nET6Bohw+mLQnPkJELD6Nh0U+t8V4PgjlYT6pZV8+WO1XPmdgRT7FMEg+ol44Pkb3Oj5cSDI+hN83PvkHPz7bWTo+onM9Ptk1Qz62DCc+9XcoPh+PMj7D4C8+lkgoPvvmeD4qM6M+0Q6OPu2VRD5S5SU+sywxPo6bQD4HTyA+wy8kPhbYIj4ZDiU+pB4kPjfXKj65hB4+Ei8gPi/4FT4+liE+/nIyPohGJj5QtTY+Jx00PqLXLj6IDjM+X05DPga1Sz7QUzg+0pU9PjiXQz5tF0g+VXE6PrhSNz6oyi8+tLgjPrSdJz4HXDs+HtZIPl0KNT62ITM+Zt8qPhNOHD4E2Bk++94dPokoGz5k4x8+zLEVPvbkIz62XzQ+ZiwPPhVPFD40JjI+GIkoPr1xKj6r4yU+mJEsPlORMD5AJCA+VsoiPlXrIj70niw+g/snPv1GMz4rKz0+PKQ0PmCZNj5/yyc+azVLPoTJWT7IS2E+ApF/Pg3/iD5dolU+oCInPsEZGz4HIRw+bg4bPvfrFj4CFxs++ckzPqkyID7pfCU+S2UwPjfUMj7mrVs+YiA5PvKjID5WVx4+gSAWPpXTGj4MlTE+wmA5PuldPT41K0E+NZpAPjcVWT4pRmg+QhRbPjEfOj4Y7Qw+8lLZPZWskz3hvj09lqfoPF3WjzyNu3k8Scd+PHsqhDycb5E8c+iZPCJhnTzE55s83+maPD5kszwr8t48iKQKPbswRD1iX009mCJAPb/UDj1f+L48PtOnPMyxpDz8bLE8VZu6PCQxszwueq88Wdq1PJITtDwumac8dF+hPBL7sTx52rk8wM3CPD+VzTyatuQ8QgPrPJq96jxa6fE8x4v/PEla/TwWQgY9FPcIPcKXEz3g1hw9LDEZPT33DT3xzww9+H0PPXBjJD3reCg9ImktPYRFKD0qAiQ93PEiPQBPID0FlyY9xAIxPcliNz3F7z49VHxBPW4wVj3Tj2I9BGJYPc9NWz0kyW490NxzPbXDfj3SIoA9DK14Pd8HeD0i/nw9eA5+Pd0Lgz2ceoY9FJyEPdRRfT0P/Hs98ZF9PdCvhT3H84s92huQPToCkj1V04w9cMSLPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf5wWbD3wl3A9O6yCPdBRgD0EeG89295lPZxjTT07m0k94FZZPTgFYj3E7Fk9H9lVPXD8ZT3KnGU9C8hUPXhTXD2KTmk9JZV0PT6teD0Dm3o9zS12PRkpbj24LnQ9qIB/PXZrgD2N4X49dpZ0PUUocT0E5Hw9gJGCPZCEhz1/4Yc9D3WEPS6CaT37xmg9bmhxPY0iZD0fx2Y9l7BsPT1cfj2zVI09tReEPUutgj1E6II9jVt0PU9+cD3+qHs92SByPRq6eD21AoM9+SGDPc5Wfz1wl3Y9UJtxPelmgT1KpoQ9KwSJPSB+kD2SG5E9VXCLPbP9hz3EZ4M9RpuAPRDFfj2Kg4Y9HCqHPZ44jj2Zr4c9OjmEPV1dgz02N4M9T3WOPbE5oj0RDpY9jrKIPb/LYj2SgF09H4p1PR2ugz3D+4U9TvSBPYAYcD1K5Gs9Aa17PTxahT1m+o49RIGOPRTPjT3In4o9vYOAPVUjhT1fxno9YfpqPdKGZz2YBnQ9AESHPT/phT377oQ9eU2CPVx6kT06lqw9vYqhPb8mnj2xhZk9JdSVPTKbjz2A2ZA9r92VPVjeij12aoU9v9+CPRuohj0a4oc9gXqAPYv3cz0pHnY9xvdxPTSvcT0Vdmc9M0NsPXf6aT1jBFw9USZkPdgMfz1dJX49N7N0PVascT2Jzmk99H9hPanbZj0+Nn49+et7PRKhbj1NCm890WplPdELYj3SAF89THtZPUjwYz1ZUnE9lhhrPWEJaT02MYg9nweTPS05hj2c5Ho9RgN3PQyJbD1774Q9Oy2CPUBacz2z/XE91pxxPbilbz3Vm3g9N+VzPdk+aT2iVmc9s2tfPbunWD1ns1Y92+R8PcGckT05Fpc9MoiMPYczlj3xsIg99ceOPW4bkT25zY49nlaBPcVbgT2oPI89OdmKPcIChT0MTYQ9l+yIPWs9hj0zrIs94ImSPYU/lT0GUJY9h7WdPWY6kD31m4g9Q0+RPdAwkz1DH5I9F+Z5PUKIgT3dOI49GVKOPcD9kz0B7Jc9MSGaPRXllT1Ehow9j2SMPXwxkD3tv5A9t8ebPU0zmz2yDYc9p8hyPTtFcz0VwHQ9MimIPa0wnD3toJo9vvOPPcR8iz1l94o9sGGNPXZ2lz2HcJg9V9CdPfRznT2265s9XwmbPXdTnT3/Q5U9sKmOPSGOiD3wmIc9FZSOPcGZmz0T2p89wW2hPYnllz3iBZY9cuSOPRxLhj0MFIg9vpaOPY4SjT2LK409AsCQPdwllD1zppg99OKVPcpKmD2DH5c9tFiNPcCOij01Q409ma+NPY8LnT1cq549G7ScPTX5mT3KwJs9UgGbPdeKpD1xGaM9QcSaPT+Pkj34loo9AmOJPQBEhj01x4Q90ZmIPVWhlz1NYJs9JESXPQZEgj024309JvR2Paxggj19t4k9Zf+UPYplnD0a/Jk9OuqSPUcikT3JIZI9LF2UPT0aqD1L96k9t4GtPTfCpT3hXaM9i/qYPYGVlj0fd5Y9FQiTPaedlD2rF5c9zkCePYotpD1al6A95FiYPVFEjj1cyoM9o4yNPXlqkD3FcpM9LkSePcbElz2kJoI9/BaDPVMFhz3qh4M9tXluPSlWYj1Kr2Y9Z4N9PQ7feD1qInU9vmqHPXpWoz26t589FYqdPT3blz2gnZg9iHOfPaZjmD1Bb489X1SIPYHSiT3tp4U9dfx2PQPNeT0HrXE9YQtpPVkEbD1iR3c9I1qDPTM8iT2xXJE970+UPZkblz3p35k9UAKYPQE6iz3233k9IoKBPavygz2dCIc9BGKaPTthoD3SX5U9dFmXPUaZlT1lYZI9gT+MPdhRgD3Sj289EoVuPaHlfD2lKoc9hgORPds9lz0vKJs9zkeVPeH7kT2ZO5c9JUWkPTfQnD24k5g9R3aNPTnQhz2314w9WLWSPY21jz1LcYw9BoSHPUYOiT0K+oo9lBONPY6llT1DboI9Y4RnPXbgTj2CAD49wcYXPbc32Txyisk8ChbLPNYtzzxUosM8YDq1POcjsDwKOao8ZcqnPPUtqjwNqqk85B2OPNyBjzxaRIk8+wCKPBBUjTwr55Y8iJaqPOICozzXZLA8Zx+vPIYcqzwye6Q82zCqPEuipTwGfp88i66dPBy2nDz56qE8m16kPF08mTyWsJM8+eiXPFWElzy4A5U81aOUPBBqlDwCzJc8QNibPMN5mjwTfpg8wECOPNcSjzxBtJo8dSCkPESTpjy5uqk8++ibPIyKlDydf408o5aLPLaYkDy60ZE8lyaSPLGyijyq0Ig8BbuaPKuwrjwWdrY8wp61PJDx0TyM1uY884zoPIDk4TzPfeE82pgCPXWZGj3QWx899QIlPYC4HD37YhU9ezUMPVliDT0sLhQ9fpQSPTisHD1o9RY9pfcYPRaoHT04pRc963cPPfJFBj0MUAI9N1oCPdddBD3MEw49RJwRPZRADj2jWQw9Y9QIPXmKHj2uq4U9gqHpPY78Kj6Q6kY+NSJiPp5wTz59c0M+SJ0vPs5tFz5TZhU+1YIUPl7tHj4oLSI+CBUlPsC8Rj7C4Uc+SX5bPiVXeD779l8+xPNTPtQ8Pj6Hujg+gt4rPtyqNj6clFQ+OH9IPjLTLT6TeSg+W90fPvVlLz4SoDM+3osvPqEgLj4T2io+XCUoPsF1JD7AxzM+U/dPPiKdKj5SbiQ+tK4dPqqBKj5ltT4+bx0PPhU0ID5AEiE+wA4kPp/8Mj4xkDE+DewePmr0LT5fgyk+4KYjPqIGOj5gfEw+T3UmPgQ9Ij5AhiM+8F4lPukpLj7tgSQ+NBJBPobDNz7ceTs+owIzPmCcJT4u5CU+9vhAPum0Rj4zSjo+cGYxPuxULD7WkC8+mV0uPrHAGj4E2Ck+hKkqPqg4JD4EIB0+VfYbPkOjLD4yrDY+/b4sPjmfFT7GcQk+wQwxPlHxOz7trTc+xM8zPmCgLj7dBCA+lZUsPtsNSj5EtUY+a9dGPrRVPj48a1A+aOZHPq4ZNT5gBjs+osk7PiMHQz5VvEM+CYJaPuWmaj6hdG4++u1SPgB4Ij5YqSY+an8UPp5bFT5V3BI+86YIPlFLFD6ZJBo+8po5Pl11TD7MXDQ+9CZMPsR4GT7bsg0+0k0WPq1/ID52zyM+j4ktPp0CQj69g1s+qyZnPqc7Wj76Fmg+wNRVPlD2Bj4WCaw9KxV4PXUOKj3BPv08Ek25PNG1kTx/eps8lJ6aPGiVlTwoK5k8UV2lPM3qqDy+1aU8gCmpPNgiqjxO/bY8jVG8PJUbyDy90dI8UDfoPJP48zyksPk8fEHnPFTV2zzJk+w8zDTzPMGv9zxLxfo8PiLmPHMC3DwRrNU87XfLPMlAxTyqF8o8YAzQPKCO2TwBBOw8wAoBPavdAz0BMgQ9i/cGPSevEj3PJBU9EQcUPd70Ej3xnhY9RM0aPYSQFz3rnBM9p0EVPUm9Fj0Y3x89VvkhPegvLT2jGjQ9sKkmPQq8ID06rCE9JQ8lPZtYOT2zC0o9dh1OPY3gTT08sFc96cRePX8KZj2yL2k9uZJ4PZ1GfT38nIA9j9R2PSJBdj2Kn389YBOJPeivij2UCog9EPSEPabnhT3sz4Y90yGJPRekiT0MEIk9St2NPf7Fkj3+kpA98aiHPRj/hT0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/K03o9qmV/PQ0SeT0YdmA9jmRpPec5YT3twlY9cflVPckkWT3HgGc9e/JsPfSOcD06Nn49pXh8PcwNfD07Gns9LjSCPW3rej1CJG897EOEPQpMgj3xt3g9ozZ1PTc2cj2fa4A913mCPVqyfj1SaHM9YGd8PbvpbT1gpF09y8lXPdhwXj1t2nA9LFNxPRRIez3+5Ig9iUuIPZi8hj0q+Ic9+nWBPfgIZT0mdGA9ezRhPW7SbD2gwI09JD+TPVjZez0FjmM9c8Z0PTc8cT3mO2w93tVePRzuZz1wO4o98BaSPS15kT3WMIw9s099Pda6cj2U9nk9CnSIPZQrjz0JMpU9TKuQPepAeT2bi309h519Pc78fT2i24U9xfONPWJelz3fNJI9rrqDPRTzfz1f03M9mdB1PWfwgD16Q3c9f41xPQqIbT33c2w92tl3PXpDhT0/Joc9fz6PPTCKjD3bAIo9WMqGPSSGiT2vdos94XKBPVSTfz3zN4M9f7GAPRUtaT1dgYQ9IOqKPXApkT0q5p89E5yiPZYwiz3xaYI9xWCCPZ2ohT0qXpY9BiijPTflkz2GHpE9AVuLPaWgiD1Q7IM9tPWAPRYUgT0q8oE99f6APVwpiD28zn89+gF8PXqmeT2W2oc93p+NPeX2jT09PIo9EdJ+PVuBez2mLYM9G4R/PfMiej3jFnA9AduDPSyvgj35SXQ9iJltPTNGaT1+4GQ9QVNgPZLnYT3JY2M9zeVrPRG9bj2Wm2A9qxNwPawScz21bmI9G+dbPZwabz1GX3I9AnaFPXaSgD037oI9uvGEPTJJgT0mynw9ZFZ6PYz+cD3vsII9JluJPQNdlT1bW4Q98aV1PTovhD2kfo49A0GPPUfnlz1DRpc9iiqNPdsSkD3AR409o5qJPWWygz3kkY09X52QPdOAhz2o54E9dw2CPa7lkD3ILpM9sKOEPVd4hT3A6Ig9u/aIPXW6hD3utYU9ik2YPe9FnD3Ac4490byIPTI5gT1qWIM9a5yJPaUNjz24LI89O8SOPbVgoT1rlqw9elehPRmdmT1WMJE9i9+NPanPkD0MV409+I+JPdHnhD1nY4Q9qaGEPYSGkD0LFZw9USumPVhpqT3D0pc9OvWRPR5IkT3r4J09uJikPfCBoz0X4ZY9jVSUPa6voD1GWqo9nw2WPfZzjT2CvY095NCNPQ5Cjj0A/5o9NNOcPdr5kD3y7YE9iO+CPXbtgz0+7Io9fIaaPcJAnT2bbZg9I0+VPXkhlD3oBpc9jGGRPYyOnD0HUp49KkyfPYCYmj1Sjo89KfOKPXwNnj2sQac9IxSfPa+5mT3bdJ89gvWdPVWAqT3DzqQ9zXqePQHWlz2vvow90aqIPQooiD07EIo95KaRPYrjlD2sVpc9zcygPTwslD2gFIU9z6KEPZ2FiD2vNJA9QymZPX9nmT3lBp49QQigPWRLmT2KBZg9oF2mPSlbpz2xlLU9jzPDPTVjuj19ZZs9zpOOPdSghD0JlYE9MReNPZcyjD0QTI09zvCVPf0Dpz2ZSbU9wV+rPWYFoj3ZtZk9GvmXPV/flj0FL6E9TmWnPbH+nz0LioQ9uDZhPbkJbj0pIGo9RppjPbXuWD0qlGM929N2PWachT0QZ3g9HtR0Pcj/hT0oGaA9BtWmPWy1mj3qUI497RGKPSANjj0NlIs93RiIPT/mfz3HtoA9CsGGPT0IhD1jtIE9aEJsPfMBdj3ezoI9vOaEPdEwiT2utJI9LVGZPehTmz1x84k9Ft9+PWjbdT1FNW89aCNtPeLhgj14kZI9xOaYPaqIlz3C1pA9lZmLPYxvij2rw4I97TKBPTSPhj1v0pE9/+WHPeXEgj2xNY49BYiTPXbmkT0l45s9L+uYPT97lj2YS549jQ2qPRQhtz0djqI9PhyhPbYZmz0IpaM9aXioPTXQlz0aWpg9k/2bPQrVnT0TAJo9O+KTPbiwhD2c7XI9f0FHPbpXLj3nWyM9e/sdPXDQBz1AkcY8A/qnPBKYtjwtOcw8ZUnUPKOPxDxlDKw85SahPAj/mDyZk5Q8diqPPNPliTw92JQ8GmuePCoWljxrXY884DaRPHf5jjzijY88oC2aPF1ZmDwAJ6A8GX6jPEZbpjxKz508KQaZPDbqnTwC05E8cyCMPPl6ijwvIog8A/qNPBIKlzxoZpQ8eeCRPLYSkjwY2oY8dEqVPFkfmzyFmJc8q6KXPG8wnDzjUp486aKnPIEkojx2EZY8ybWUPFS+kTyP9Y88dcWOPNW2iDz1iZA82w2TPFYikTxqJYw8LoOTPO9KrTw317s8jPXAPBkUwTx2wNM8WBXcPF3c5zzfk/E8dRvzPGeUAj3puiY9OeEkPUAkEz1Jzhg9GpMYPfrJFT2YHBs9zg4bPV72HT0EUBg9G6sYPXGIGz0z6BA9SwoBPWHd6DyO6+08ZqvxPBxy/DxoOvA8M77mPGTh7TzKFOs8bWbqPLKx6zwF5fo8TcQhPbe6pD31ACo+xGA/Pr/ISj5TePA97z7bPUiU2z3fJr09acTXPcWWGj5Y8ig+MM0tPlY9OT5HAkM+nFhAPsTBQj4YA1M+qP9VPonGVT74FEM+vqRBPirvPz4Ifj0+OXo9PsPILz68uxo+z/kcPge5Ij7sMyI+9QQjPt7FJT7i+SM+dpYlPlHhJz50lyI+U0saPiQkFz7z8Bg+zyAYPq5fFz73RSA+HYAoPlnWJT7giDw+uVQ4Po+QKz45Izg+Cfo9PvsqMz7b/i8+risnPktXGD6ZFRw+f+gmPms1ID4PdyU+fNslPnNLLD7MVyw+ewUiPs0EKj79cjQ+jjcyPo/LLT63eRc+fZkaPu2MMj6wR0s+5GhDPklWOz7cZTs+7/9CPvpuNj5e4Ts+P2lKPry8Oj4f3Sc+0IorPmqeOD6zrCY+FBk3PsewQz5Qoy8+5P8SPv1TIj4yNCQ+wNQkPubCPT6prTo+KrIVPv+FPT5U21Q+67NrPqClcz5h2zk+DDk8PoBpNz5M3SY+r5A/PpTUQz4jKUg+l+E0PkETND7HsTE+IGg3PtOyMj65eSk+SpEkPnFLGT4H5xU+htcVPqVHFD67QBw+ERUkPmM3Pz64xkk+RkwrPqnKIT5F7ho+/ZoUPn6AMT6uQ1E+zNY/PjfVMD6brmM+sQdaPg/oND4g+Sk+TphJPmKNDz5YmBY9bO2MPBb0hzzMQ408PMaaPNiXtzxusMg8i4PIPET+yjw28sg82snSPLGS2DxvkeA8k83gPNi90zxvzMs8ow7XPBzF0zzZGs08/xjNPBbJ2TysUt888mjuPCcs7zx4qgA9l/cIPf0PBT3zmQI9cCECPdk3Bj2DDAI9x4n2PC8p5zwleN48xYjfPK3G9DzvqQI9SNoFPemsBD1ZXw49TaETPQgIDz0gIBc9gCcVPaq6ET2++hQ92K4WPfzLGD2JRRs9DPkZPewcHT1LyyM9DMsnPfnLKj3iZTM9ulQ0PSoVMz0m/zQ9K3M2PX+DRz0GRVY9CD5WPXCcWz1UBmU9YTF5PccQdj0VhXc9SKBzPUlzfz3TG4E914eAPX/PfD0oMIM99DGNPXiFlj2MLpQ9FH6MPWlEhT2ohYU9Iv+JPRTyhD1U1oY9V0aEPdWLgD1GfYQ9f+qKPQ19jT3DAJE9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/np1VPZpTWz1NjF89fX5ZPSESVT3AMls9jZBhPcixXD2Dvmo9fqx8PcQIgz3ogXk9jeBjPTlVfD0OvXQ9a4JrPXWmaz2duX89Aml9Pds6cD0iH2o9PR9pPcj4bz0CEoc9cw+HPT8HcT0kFG49UGxoPaKrcT02G4Q900aKPbEQej0sfIA9hOt8PVA6gj3OG4w9DhiIPUo/gT20YoA95/+EPesZdj3X5HE9UQNuPfPQhj2Wx5E9BOKWPdwThj1ycXI9c99pPVc6bj1gO209iUpvPeqRdT2ZKX89vExxPb4jbD2WMoE9OSp/PSagcj0SGm09Q6SEPb7Gjz1oKI09JU+HPdBfhj39dok9cveYPUONkz3HS4w9uoSRPSYmlD2uDYE9rXJ5PUuShD2m+oU90cmBPSaGaj1OM3M9KdJ0PT+5dj1D1389wzWCPT69cD3Ji4E9BA2PPXRXkz0/cI89dXCEPesggj0OlYY9mm+DPTl8fT0srHQ9X/6DPQqchT3o5Xk9a7WDPSetjD3xHo09WI+BPT5Daz3ijGE9WCeDPUwcmz3CZKE9fjSwPRqOxD2wxa09jNWKPTKZfj24EHk9aUKDPSe5iT1lWY49fyKQPRzjiD0Hf4U93XqDPdBEij1WrYY9MaqDPQGYkj3flJo9ECWXPSmsjz1++4g955p+PbH2aT3smWE9rQ5qPaXFez0SSn49KTxuPWCxbz3h3mw9p798Pb3ngj2lUHo9dxtnPW0cZT0gMms9A5+EPQm2iD1gDYA9fhaGPUWthj3QZYc9tchtPbPraD1nOo0903KQPZNqgT1+83k91SeIPaValD1o0JA9dw+LPU9PhD3AAYI9ZS5rPX9/bj06KYQ9UsSRPWr2nz2hkKM9wh6ePblmlT1hTpc9phiPPZrNjj3dcpA9T/yVPZCajz1sxZs9/j+oPQ5inz0HB5w9+fWTPUX8jD1BKY09W36WPQf0lT24IJU9keGPPWLdij1gbYk9i4KMPQGUkT2o45E9QyOLPaAJlj3yRaI95IqiPR43sD2R37Q9qqW5PUJDnT0GLJM95NeTPbk7jz3sII09o3OEPVUChj2fL5Q9eEegPbM8oj0X76M9wQ+qPd8cnT2e3ps9M8ecPVyGjD3aO4o9H9eMPdQjlT30OZQ9rBiRPSM0pT1HEqY9jkuiPYbXnT3KRJc9XhWTPXmEkj30Bpo9WNGRPRcwjT01DIk9+81tPa6ceT3Qs4E9zViMPe2egz10Y4M9aTOOPU0XnT2HuJ89t9GlPUOpmz0kWJE9PpCYPVlxqD2TDqY9AqeZPbeyjz2WZpE9pJmbPbmKnj0+x549mUilPU2Wrz0o5bE9/IyhPXL5iz24HI09pcqTPTPBlT1zjZM9dByQPe0RjT0y7YU9dF9/PZNjfT3ayIE9LxqPPU6zkT38KYs9Ypx/PTp6ij24AZo9InaaPZOgnz0Q05o9d+6ZPTD3pT0tw6M9TKufPXmjoz0oPJo9W1SSPcn1iT09PIY9gGGRPfZnjT0QbY89IFSUPcW5lT0lW5s9Bi6ZPYbPmz1LPps9iW6hPd+Gpj1d3Z097PyePZKLnD0mnZY93nyKPSSthz3E2Gw9gqN4PUFYjT33m4I97QZpPXr4cj1N6YU9Z4GCPfO4iT0WxJM98G2cPdHbhj2P2XQ9fAd2PRbnhT2J7ZM9JRuVPW5rjT3ddpM9w5ySPRbWkT07R5Q9SW6NPejqhj1y2n49DfmHPYgtjz3LN5I9pEKQPdIwij3GCIU9D5hmPe5VTj3wcWA9ShCHPfS0ij2dcYc9s/J5PUozbT2NY1894Yl0PbjXjT0sgIk9Np6IPWpsij2zkY49g6KLPX49jD2YNI8986KdPVLxoj2DHJw9h2SYPSrjiz1wY4w9qOeLPZ5LiD3stYs9esScPYmYpT3AMJc9u5eMPUp+iz0mvY49uVSLPXfDhD1YuIg982x/PRSsaj0MWWI9iv5CPRqRGz3nTBI9VV4JPYg1Bj3Ki/I8LZK/PB4Utzxn/LU863utPFF+rDyj/ZU8Kb+aPKPgoDyhLY082GyLPBOOjDxwb4s8S5yQPC4gnDx0nps8nfqgPLwdozwvEp0896CaPNh8jzxCwY08Q3CWPOXimDzf75Q811GKPDQwjDzjspM8I2SWPEfRljxD6Jc8wCiOPESQiTwXh4k8OLSJPAytiTwfKJM8MKGUPO3BizyY8ZA8EmunPFkTrTzIpak8MD+cPMOApDzuaJg8uPKVPAXBmDwlAJw8yF6TPI9ijDyg9o4838CQPA9QkDw6lpY8VDKOPHQ6mDyl2aU87TG7PL98vjzRPrU8gxG3PAS1wjz3TNo8xBzuPJke9DzHTxI9nX87PfAtOz1BLSA9KpYgPb3bHD0HVhI9V9MNPbZPDD1xTw09k0D7PNf99jzbRe88OkDXPH6KyzwZjNM8XyTMPDpXzDw7BeM8pnj+PKlw6zz3Ce08FQTxPNhz8DxbSew8rZj7PGhQCT26ZwI9HgQwPYepMD28dyI9Zho2PRU/FT17wNc8d6/rPFh2Aj2IGo89dx4VPv6cIz6CGg4++aHcPfnJ9T2AMRw+1KBBPoC7Mz67rio+zCRDPkk7Qj7it0Y+ii1JPol5Mj4yxDg+xXAzPnXhMD4DvSU+KQshPj1qHz796hg+Y2QjPtmYKj7acyQ+BLgZPl92Ij7ozCo+AY0fPuw4Gz5+pRg+jOEcPncqJj74+SU+0ZlRPggRTT4NkzY+xSkmPqnPLz6awSw+fu4dPj2cHT7d8hE+fZAQPl72Gz45Bh8+p74mPrr6JD4EfSU+p8ckPnDXHz6YyhM+BaMSPkvNGj5iUjo+Qjs8PnuMHD5BUBw+u2Y7PkwqWz6zn0M+mVMkPjwILT7qkDg+2G49PoryNT6qnis+aK8sPs5gLz7qAjE+mAsvPkrMQD6hnkw+l6QqPsr/FD7phiM+lp8dPnqaHD5yaSs+pjEpPlNlJj4f7js+Oz8qPgLdVD4mHZY+mQszPqRfFD5ZsSk+QwspPr0KJz6XRig+vEsyPrdbJD6zoi4+1tQsPtpoLT7aLiI+01YbPiusJj5q9xw+k9IVPjdCFz6i9CE+iYg3PohBVT7wmUo+dJ9DPsfbQj7i2TA+uwkmPvS5Gz6tfyY+SRJFPpPWRz7uIy4+R9opPg+lDD7bF6I9hwBXPYyPSj03DgY9uPynPIOVrzzKnrM800+1PL0QtjyGJ7w8hbC+PJO6vjxNu8I8WtDJPEfpzDwNh9w8CT7dPAjc8jwiZ/o8M0bwPGGC7zySbfY8S+EDPX9WAz06hwQ9v5wOPaa2Ej0L4BQ9JtYIPfomEj3CxBs9JgMaPcVtGT06yxk9qL4YPQKNDz3Jrww9ZNAVPVi0GD2qHiI9XlckPUFnMj21qzY9byAgPU3XGz00zCs9hqU4PVs3Pj3Lz0E92ARCPd8AQj1qKz89t1w6PTpqOj1SlD89TaNNPY9DTz2xR0s95JVUPd4oXj1QBGY9KMBnPckMaD2qknA9vrSCPW4Aiz3DrY09BSyGPSccfz2V44U9BV2PPdpyhj2aO4E99G2GPTtthT1KmII9thiMPbg0jD09goU99MKDPYnrgD3a02w9CchvPbHXgj0n3n4905B8PXuuez3Yjng9tOlzPZGNeD2utXU9n1B0PQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfz+GUT0UY2k9gK1wPQ9Vaz3f02M9fdFoPd4xaz26oWw9jSdsPVRiaz0Q3nE9pU2FPfLwgz2cwIM9j0VwPXVneD3PLIg98XONPSXDeT29yGw9PKlsPU9Vez2tsIE9b/mCPbTlij0NRWc9SCNYPVMKXz06NXc9bE+DPW2adj3AZIo9qkSdPYw+jz1kiIQ96yeMPTKogD26WHU9p1Z2PT8DdD2AEWY9NSVePRNqZD0UKoU9KW6HPXyChT2C2nQ914FsPRiDZj2p0V0966dfPQKEZD3ciF09xn9aPRM4Xj3r1lo9ImNZPe6FXz2p0mY9IDl6PWAOiT3syYw9pjaRPdKxkD1xQpE97RuOPXx2kD0A0oU96U+NPW9Slz0TeI89YBaDPTnxej3jRIA9RZZ/PUTJbz3BL2k9JdNvPQNJgT2n/os9V56QPaAJkz1yRok9USKCPQFDfj2v04Q9Yb+FPTyBfz0yenE9HH95PTmJfj0lg4U9rNeFPSyEiD3e63s93ndmPcMcfD14O4M998aCPUK7hD3Hro098+KaPY0emz1frY890uWFPZ/TjD1TBJI90pdrPWkEaj2Q7X09tFmDPdz2lD25epc9pP6RPfOtlD07m4c9NemAPQsihT3Dj4U96RGBPe/ziD1cRJY9Q5abPeKunj0gRI49cbWBPQtDfj0jV4U9ESuKPV0hiz0lo4A9jPp/PY/QiD1LCoA9ElxzPWF/cT1p9G89hQZyPWxbfj3iDIM9FDSDPW2thD37do89eTCIPUY0iz1qTZE9eiqSPYVXjD1VXos9ObiOPXPTij1xVYU9f8SDPe2djD2S85U9tJiXPfAhgz1VeXQ9YCR1PWp8gT1yXow91AiTPfNGkz3wS449E8WMPSooiT1g3Y09i12gPZyKpz2E/Z09Q6eaPXAylz3gFKM9DyefPbWwkT3ZGJU9nieXPUqOnj2gyJs9DhyjPdVjmT35qIM9tsV9PZ6FdT3U1H89wTaKPaSyjz1yrqg9ae6uPXlmsj1Iiac9nGafPQKdlz2udJw9YKqiPfgeqT1CZKY9xvmmPejpnj1nhp89krOVPaDwkj2e2JE9tS6YPQOBoT0mWqs9H1O0PeXOpz0NQaI96jaiPQUwmD00u5M9A0efPRVdpT3biaQ9N4OyPcjYtT0j5KQ9fP2ePRDslj3M8Jg9JlSZPeUvkD2Ac3g9hk2APbjqgD3aC4c9EpCGPZa4ij0ICIM90KmDPU2zgj24gIY93cOGPRQqkj076Jc9u9SYPSnenD2L76A9qXWfPcfOmz3JPqY9XrusPbWzqD2IMZo9o96UPd6aoj3BSKc9TnKsPSrYsD05jaQ9zWaUPfoQkz3llZM9jVeVPZJZlD08wo09kmmIPbjXhD34Ooo9iy+LPUxJkz3eCpc9gimLPYIVhz0rYII9RRuEPZXwhz2R3JE9pk2gPYgqoT2OXZY9h9uZPQpOnz0nLaE9gYycPUoanz2NzZo9raqWPWHpjz2885M9OVGUPWcLkz0pWZs9I8OePRsdoj3VAps9urGiPYrZkj0cSIs9wYKRPaEfoj2Gzq89xrihPaOdlD3b+o89zeeMPfJihz1zYIU9a2SKPdJwiT2EkXM9gWRwPfR3aT1SnGc9uc5gPQ6mgj0MaIk97LKGPRvxdz2EhHo9p+WJPQlmiz0v6YY9HBKEPT8AeD2zG4I9dFWjPWhGnz1W7JA9IGuHPROSej1e34Q97iuHPW6dgT3mKYY9GAqFPVhwgT2h43o9KCGEPaOyhz2/coo9L3WJPQUaiD1oRYc9Hkp7PdqngD2UZIE98RqCPTVoiD2M/Ig97ZOOPUCekT1SRZQ9BpCTPaIGjz3lS5c9Im2TPeZyij3W4IM9xsyAPQcefT0qN309RmF6PW9+jz0gGJY9Sq6ZPZierj1/85g9BL+LPeBOiT0Utow9nt6JPTuicD3Rr3U91nN3Pf2dVT0gpS09fg4jPQ1oDD3X3u88qM3uPJBc7Tw5zd48w+HYPLr7xzxK17Y8oVKyPKLYkDw4IIM8gmSAPKbwizwOu5A8mfuYPJdCoTy4QZ48PjWbPG5gizyuMJs8K5mmPHsJnzzafZw8xsScPLbKpDwj6p08JdadPJIbpDxyI548WoeaPLjCiTxqmos8O8aQPGhimDx35po8NpuZPCqhkzyU/Yw89F2PPIqokzzJmIM88NeCPDJsjDwgQ488PUOTPAFyqTxEOK48IUKvPJD1ujwfs7c8cVKjPHxXnDyaiZ08txmcPHLvkjxOY5Q8UpiUPKPKoDyxr6c8c+WkPEHhmTxlraM8olqpPDV2tDxulsg80FDLPBGB1DzdJto8hpXvPLEBAT0oZg49VPcYPec9QT1dlDw9iqUbPVO9ET0X/RY9iEYSPaIa7jzI2sY8UkbFPIHlsTxOhK08XoSrPLJ2sjy6fL88RdTTPKBd5DyfTdY8+a/XPP8f3Dyjiuc8VWL5PBwA5Dyavek8VhMDPb/WRD3mrIk9YXZBPdBJJj1tGMs80WDEPAroujyAwqw8jPCZPJMsvTzxqwU9E8MWPTvUvz232fk97FTTPSN95j2DBQI+j7gTPoY+LT5b2Rw+JlA6PtLJRT6ytUE+W51DPrNPRD5WbyM+7EcjPvHlHD6dZg8+MHEXPp9OLD7Xkyo+aCwWPqI8Ij7jGyE+g/IgPtEqLj7qcEM+0BYnPm5YQT44KEk+Xz1FPpj7OT5sUiw+IjApPsZoMT5QKzk+ITk4PkUlLj4dVjk+mk4pPt1jET4QjRQ+4QAZPt0jFj73Sx0+r24kPqwpMj6e/jE+FC8zPpRXKT64cBA+IF8nPkiRHT5CRCs+OnFDPoMQOj4mgh8+i9cTPvq8JT4Lgzs+oyMxPj+pIz4Smiw+yhkqPm7BHj4vRCY+2DwkPmNEJD4OTyA+WdMVPi0tGD6PuSA+MqEpPmHGMD6qPSM+ve8dPtTHHD5FACI+xWYWPvNKAj5vjzA+r0slPryM/j2SDPE9N6YJPo3dJT5zjj4+daQqPk4VHj5mUBk+E5oLPv/ZED425Bo+nVZDPt+NKD6FDhM+2RsXPsEhMD7PmyE+RJIcPgJdFz5rSBc+aiciPoKJIj6AEDE+iyJKPrDmRT4f8Tk+r78tPlQFGz4jsRE+zugqPnf4Hj6gxQ4+CQnPPQh1oD2uT2I9DogAPTVRxjyes748F9e4PCdNyjyMTN48a5rZPJXZ1TwJ+9g8lxTcPJhL3zxrleE8+wHgPExL5zzR0Ow8RKMBPTxTAj2yuwg9p6oHPaeSBT2PZAY9FtcPPd+aDz3ejAs9DtsOPdlZHT2YZiM9umwoPRJxJT1vyxk9xXcaPfbhGz1LsRs93ikkPRPIJD18Eh890HIbPeeJIT23DiQ9z40vPYTsLD3gbS49tyg5PeIlMD2wCy09INkwPTUuPT1QcEY9kbhDPY8mOD1QIDY9gsI5PQYXPT1XeEI9gDREPeVmTT0Wvk89TzNVPddVYz3z13E9/tJ3PQmYfD31tX092vWCPQTqiz1gZ4492JmKPehPiD2BH4g9MQCLPdrCiz1gi5A9XP6ZPSCckz3bFpE9E3iOPZsumD0hVZc9ivOQPQv6hz3Vnog9rmSOPRktjD3FGYU9Bh6IPZx5hD2LMoQ9QpOCPYV8gj1OhIM9+RKGPaCwhj0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH97Ems9caBmPRQtXD27NWI93T9iPYRWcj2+qnY9XwxhPdV4Uj0ee1M9n5hkPcEBdj3Z4Xk9jFVxPSg7gj1gk4o9XZyMPTxmgT2UJnQ9JwqAPWC9cz24hoE9MzCJPcEjgj07H3M9aLFxPWiEdD3dqX09TPJ5PSumhj22sY49kA2HPSSvjD3AdIU9du58Pb/taj2bRXk9iRZ5PUJobD1gn1w9GytWPT0PYD2yTn491Sl6PQo6hj007JE9X8yPPSpTeD3edFg9QoFTPawgVT3b22I9tCxnPccsbD06hG09l8RyParqfj1/7X89dCSBPTkHhT2MZn09J8SDPW5RlT0V4Z09nbeTPTuggj2Q24U9ykGEPbbdez0TknQ988FvPYQaeT2zzG09lXlvPRJvfD257nU9gBZ+PYVsgj3LPZI9DZqOPbF1gz2ij38969Z4PfdIdT0nfHk9J6l4PX0PdT3KX3I9gkl8Pd1Biz2GbZA9oriOPdRyjD2lGoU9XCttPb7egj0bdok91HWTPcv1lz077Zk9iKCdPcCMnj2Mb5c9ZQaFPcM5bD0O/mk9Jop1PZp3gz0FHJQ9/DyQPc8Ggz2h6oI9Gs6IPQ/Cij1WIIk982qPPaj9jz0+C489p9yVPV3Clj13FZE9dJWVPflElj3axZU9DOyLPVuXgT1zDXY9hF1wPaVYZj0jG2M93ahuPZnpdT0T34A9C9WEPYAQhz279YY92nKTPSDSlT1OXI09IOKFPWqxgz0XyoE9d7B8PYuXhz19N5Y9KbaSPWMrjz16q449uJKIPQG0gj1LpIM9HwyHPYVYgj2+6oQ93vSSPZsLkD0ZE4U9BJSFPfvxiD0zQ449j5WLPYBoiz1lRYg9/PqCPWVxhj24uoY91I2WPfDhqz3u4rE96PacPbBvlD1TX5g9nwKqPWL3oz0qhpw9srKbPWaQmD1xiJg9tOaQPW8whD0GToA9T0uIPfjajD2yZJI9XjWUPfJvlz2ERZw9GYCqPWe8uT0UBbk9VYikPb39nj2H8KE9orKrPd8urT3I1a09r1KzPRW2uj24hLM9qhCjPYuAnj114J49dbKaPYE+nz1Y0qU9zreqPWYsvT2gK7o9a/SsPbSJnz0XHZc990GXPQfglj2tBZU9DGWUPYC/lz2n/549j++WPSnuhD1w7og9OBOBPdOLgz0dloU94FWHPVB+ij34RIc9ayCFPU20hz2tOX89QOZ8PSPVgT2QxoQ9xxqIPUqrgz1bX4U9SCmOPW7plj1i9p49pl2wPZryuD1zOKw92yeqPf3gsj2N0609VdybPcuHlT2PZJQ9+3+QPQCvkD2NkYs927aCPZxchT0FHYc9C7eHPTN8iT2kPI09rkmWPUVPkT3WnI09FqiTPcmykD08r4w9CSGKPSSAkD2oFY89X0GQPVXrjz20J449QkaYPaNbpD0kYZY93LuPPYXbjT0R7I89NPOVPSiImT0F1pY9fF2QPb88kj2oHZE9yZaNPSIUlj3TMZg9V0CZPRjomz15N649z1m7PVUArD3LMZ09OJqXPUUFmj01pZg9qZecPRC4iz1YyI49QtaQPU+Viz1UipA93FCVPbf7iT11UnI9EaB+PZPYgz0mwog9Zmp9PR28YT0stn09P5lmPfbfVD1GfV89+lWBPbIKbD2o41s9U5dqPeJcaz1f9GI9u/9yPVENhj3ymo49ir+UPYuylT1dKJc91DOOPVPzgj0f+nI9Ssp1Pc1veT0HI3k9VJaDPQpqjT1OqYs9hSiQPcPqkD1Wb4s93IWDPY7phj1Ur4k9g6+OPUkPkT1ib5M93l6cPdycnz0xlJg91aKYPY69mT3vHZU9NYuRPRbnij2O34w95AqGPc9tgz20l4g9a2aJPeYsjj2DrZM9P8eVPVONlT011JM9rMaNPYYtcD3bIVw9ebFVPbPiUj1y/1E9WxBOPfPONz0QuSA9u8kJPZvaBT04qAM9TtPVPIfKzDy819M8IVLYPGws2zzoK9c8A1q5POfepTwm6pw8qhGWPCNPlTxgRI08qqaKPIvskzwXPpY8Pb+YPO8/mjwZIqA8XICZPNvenTxg15U89BaRPLjakTwizZo8W5iSPGWTkTyLeZA8z4iUPE+ulTxTMpo89LiaPOfimzz2f5c85eSQPBbJjzx/2Ys8GKyGPHeXizyduo48Ax+PPDnjjjwYu4w8L0+QPDa5mDydjp08kWGnPLU1qTws3ao89H6kPJJNmzyb5Zg8mH+VPAJDlDzS/Y88VzaUPN35nDzFkLA8Do/HPAYLyTzI1cY8CW3JPEqxxTwAssA8aPTkPG+C6zxG0fo8lr4GPcLgED3lfR49pcUoPZ1RKj20ZSo9BGwQPVbj8jxFw+w81TfZPIIw0zwMYLk8u+GpPI+rrjyOgrI8l86wPD9Gsjz8Drs8Z0/YPM1s6Dy/vuQ8wwnZPKih3DysVes8c7HnPM2yzjxqT808AMjNPNMAzDwf0vI8PzwfPZZZCT3W1wU98G8bPd5QJj0P/gE9sDmcPHizlTyE46g8QhgFPazm+Dz50FM9ztPLPaDQ2z13wwE+N/sgPiS4Jz5TCTA+LA05Ph7kOT6mmjY+FwAsPpXtJj5lsh0+Cb0jPilLKT6LDSc+nBQmPs+oID6Eah4+l64SPu6NFz7i1SA+D5EcPj1SGz6ouB8+t5EoPlyhLj68OzY+TxAzPlvlIz7nCR0+0JckPqLZKD68XTM+G6c6PjbdOD5XejM+JwQcPkbRFz6y1xs+8rMjPmD4Gz41Og4+PLIQPmZNFz6GXi4+qSc8PuTaOD4jhCw+90cJPuzvJT42hi8+frg6PtiPLz7Ini0+SnYfPoEBDz47hyE+cJUoPp+uGD4NLBA+d6IvPhwPJz68AS4+9JInPuYHGz5kcw8+3vYXPnm5Gj59mBY+WngVPjZyHz4s9UI+VgQyPsxvGj7rDCE+fgAsPn05Ij5u1Q8+dEY6PiitID4WfwQ+H5/9PQxqCj7voC0+ilkmPstfGz4XSxw+nNoePhPpED6MQRE+pMguPkyuaD7SsjA+fiwUPiBkEz4oiSQ+vHIZPpJ9ID4+Vic+EdwmPpH6JT7n6yU+hZgpPm4VGz7weuo9bIvCPcEQlT0SvJA9Ej2HPe3/VT3s1zA9IlcgPX3ICT2dT/M8hNrwPH2N/Dx4mPI82TTtPP/L8TwU6PU8psP6PAok+Tx+6fc84kD1PF4t+zyOZwQ96Y8MPTC4Dj0A1ww9wyYNPWjCBz0COwc9RhQSPQyAEz3KNBQ9D3sVPT2WHj0UWx89R6kePZjmJj34eTA9p+oyPYF1Kz3r7io9FWQnPfh9IT0C2x89CAMhPXgrJz0JWCs9eiUvPedkMz2mFTw9VIs9PTPDNT1C6jg9azI4Pb4iOz3zU0E9aWhDPQ85Tj1EO1g9e7lWPT3xWD2xHW09IMJxPcDGaj0PUlM9MIlePUPnXz1BHFI9JOtPPQZcUT2n01o90+NhPXC0bT2SPno9tCB8PcmVgD1RKIQ9k3uGPav8ij1Lq4c9UbWHPbJkjD3SjI09q5yLPTuBmT1AW5k9LdSWPWQujz0EOpI9S6KVPTQzij3kZ3s9VLV4PXQEeT0Tk4M9KZyCPW3Bjz2fSo89IOuNPY+KiD2L04Y91mWIPRjlmj3ro549AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/bjp0PR8vej0TyX09iA9kPd+RZT07bm09vXJuPfX9cD2I5Hw9rZl3PWzMeD26AIA9g8uEPY6Lgz0VDYA936yEPZ7Ofj15JX094UB7PRdWfT2Syn89JRqHPUcwiT3uDX89WHZ0PT3OfD2zkYA9F/ODPXkVgz32xI89N5GMPe0ggT0/boE9Myx5PSNydD2pdmw9iG9/PW+xeD04hWc93CVjPWhvXz20QGE9IulyPc93cT0in3k9ZK9yPfobYz3QfFY9Kl1bPX8gaj0LDoo9Bt6VPY8rlz3LbpQ9csCMPfZuiD2EqYY94USCPeuchD1kS4Y9VoR2Pcxndz3I6oQ97IuFPerJaj14rmc9pS57PZLidT1G/GM9b0NkPS8+dz3nNXc9ZaJ0PaFodz3xAHw9MAt3PQRafT0kqJE9aSGYPStOgj0cl2c9o69nPUPlaz2/tnM9I09+PVjncj3ylXU9eZWAPTDWiD2MTJA9ineVPVM2lz2XY5g9EQyTPZvhjD3tkok9SvOKPYY7kj2f36U9M8mtPce4mz1Je4o9sbCLPQrtij1JY4U9WD+APWl2iD2zWZU9gISTPaTBij31Pow9WtuKPcdjjz2pLJY9S8KVPTxXmz31O5Q9SGqSPUy7mD0XNZ09EPGVPRCHlz35H409ACKGPWXqhj3eNIQ98JOEPbCfiT0wEoY9gJqDPWYqdj3Vw3U9dpWCPU3QhT0RRYg9x+yJPQsUiT3+u4g96JiJPRpceD2pgGw9ZTVvPTJHgz0LxIk9rPiGPUQUdD1hI3I9GbZzPdmRdj09Wns9CkF6Pddccj0H83g9Agx8PUYJjj2VVY09gwyHPdhchT2ssoA9kxKEPeBNjj3hQY897V6JPSf1jD2twJU9UzKVPchfkj2g0ZY9FM+bPbjqmT3w0ps9StWgPSq+nj01BZQ94kSMPdzZjj1L5o49LqePPV/jlD0dIZI9tJePPZ3Kjj0n8ZI9R7GRPWfqlD3VK5k94BWcPYyjnj2coqU9x9ajPUdOoz28CJ89DjmjPU+Vtz24Yq89kuWoPcWNpj1+1qY9MrmkPZy4rD1FUqc9k+uhPSYtnD2WZ549XDulPfbBlD3ex5c92QyaPUwPmT0g8pQ9u82NPQdyhz3twoo9o7SNPV8tmT0tNZ89Z1ORPRjUiz3f1YI9/z2EPaXUhz0ua409WW6TPXGwkD0g3ow9Nd6NPag2jj3DWoA94MRuPTRTaD0q2Wo9QkB1PQ8ogD3aMHc9bUV8PeJHkj25Z5Y9nhaQPUtjhz3ImZA9gdSUPQa/lj3uLZY9AG2UPX+ekD0rOZw923WSPVPCiD0oO449eY+LPbIxgj0IKYw9VzuVPe4InD26IpU9VpSPPdo2lD1LNJA98x2HPTFvjD04WJI9ADGVPSElnT1xJqk9OUSaPQF7lD2SN5Q9Ji2TPT4Znj0LQqE97oCXPUX5kD1N7o495uaIPSJcgj2MH449CEmVPdvpmD1qi5c9KP2VPWVJkj3BP5Q9VD6TPZ/Gpz0sNq091K24PWI0qj1mk5g9tsGSPe8DjT25E4k9Gm2CPdEOeT3VH4g9Z4iSPQ9pkD1SuYo9PxCNPW1biz2qKJA9RdmBPaxJej0/pHU9d9FwPSPSdT0WA3Q92rNyPSZadD1cJmo9k5NVPar/Rj3CST89uv9RPaNVez3pnX89pAlxPSEPdT1khHw9XB6BPVwIej1PNn49lziDPWa/hT3Z+Ig9ahSMPdQQhj1epIY9hmuIPVZhjj08XJ89fd2YPSftlD0RiZk9DEGZPZrejT1VBZM9qWSZPSoTmj2olJw92omiPTxiqT2qKKw9I4+ePYYOjz3xeoo9D/SIPQ5CkT2bmY49H9yXPVpHjD2icII9i62EPa/BhD3uk4M9r+qEPRRWgD1FrHg9atFtPWxjdj2gbmI9BU5APbCFNj06QzQ9Sd0ePZfXFj3uDw89QykPPUCqDT1gzQU95gT1PJ631DwFZMA8R9yjPHGCojzKr6Y8L7S6PEZ6rTzV+qA80hmiPPGlnTzNHZk8vM2XPEJTjTzYqJA8U7KTPFk9kDyf+Is8DmeNPGP7nDzZe488prSaPGp7nDx2j5k8OuaKPBRxkzyNYpI81AWRPDFFmjzypZs8H6mePDj9lTxORpc8D3ykPEgymTwgd5E8Px+HPFDBjjyzi4k8Z66DPO7qiTxrXoo8vMSIPI0skDypt5Q8iseSPIiejjwzeZE8zHSaPK52qzw68a08ikKhPFl3ljxynJA8fZ2HPFt0jTzQXsI85bH8PM8d5DwB++I8KHPoPIn95Dywvug8vOvrPGl19zziHfs8rucDPSBRDD3ilho9c18dPdG/FT3q6RM9jIkTPZ9mBT1TX+M8huTbPHubwzwyl7o8NmKoPLqUqjxGZrk8dCO1PHGxrjzUS7M8VE65PLsg3DyZxe08zyThPNAW4zxrCNY8aqK+PIjFszwpT7U8kkvCPKxpzjzaVcs8lrLZPF9++zzb7/s81MbePAoa5zyABO08d4nQPPVFrzxOKqg8FwSVPONjqzyDdNw8TnElPWaf1T0boCo+hy0BPma6+T0voxA+/+YxPicyPD5MWCY+ZLM6PgbnIT5pCBU+JQIUPsUBKD7jMiE+KsYoPuGDMz7HfSs+GdwXPiIoDj7oexk+Sp4cPpY2Iz46eSQ+B/klPliuLz5x5D4+i4AuPnrnJj6uaCM+0KYdPi3JHz6M+Co+DukwPq7QOT6/5Co+1pAuPml6Kj46VjA+FegrPiyFGT6A6xc+xz0YPkhfID5OIw0+iZgNPiC6JT4e+So+kBVVPusLfT7c+zY+SxwyPh/dKT7xhyk+Er86PlEQPT7WWTw+/fM4Pg37Lz4j1Cw+xeA2Pi1QGD508RA+fl4hPpqrFz7Z5B8+4dcTPkMHDT43DC8+PQUqPloZJT5UQCM+aFIxPoq7Sj633TM+QBEjPjcEKT678Tk+B4M1PjhSFj4P3Ro+d/oXPmuqGD7s0RQ+sJsjPr0EOD4emDc+PWEePvo4HD7daRo+kJwZPrOsLj7TaTQ+iV0gPun3FD4+txA+VSATPlwxET4e6Ro+ghEvPo2SKD5UHx0+K7UMPrhSuD2YWyE9TPGwPDdvoDzlrJ88g1q7POlS2DykQ9o85LbnPMIP9DxsZfU89FrtPKeX5jzqOew83jf3PAY4AT0fsAM9AeIAPXP5Cj2RIRM9a2wRPfCuFj0F2BY9ZgYLPQ/xCj3DzA49Ry0IPfrP/jwyNPc8E3wAPcdKCT2BWg89smIYPVLmHj0T1SE9TuUcPdnrIz2dYCg9Re4kPWmkJz2vTSY9x1goPRjvLT23WC09qjksPaDaKj2r6y09ifA1PTKWMj3ZtS89jxw/PWfoRz12UUY9WGdFPconRj3fu0U9OhpLPaB+UD0nzFY9irJTPQv9Tz1+BV09GINyPagabj2jR2c9KLxXPUtTUD23J1g9V+hMPS6ZRz17Oko9HwVVPYlVWj0maWM9wad6PY2qez14+349gIR8Pf96fT03sn894SN0Pf0IfD0dkII9qgWJPaIIiT3kSYY9w8qJPY/pgz1YE4E9UCGCPQ/QhT21uII9fKOCPY/pgz0bL4Q93tCHPXF6kj0+P5g9k5GMPQbgjT3Ifos9yJaIPUScij2lVZk9HRmcPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/0yez1O0IE9Z4CCPT32az1DeWo9uAR4PUeffT14FW49JzyFPcGajD0+vYY9N1iEPShThT2Ttmw97jVnPclffT3olYA9uZSAPQq+ij1/+JU964GFPbHbdz0ch3Q9DTNxPcficj0XO4I9FJ2HPYVojT3cBok9IYuSPQ39jz15iIM9kCd+PUdybT3Qs189yQRgPZN9cD3r2IM9ciSGPT1MaD2HLlk9vk9hPZrScz2f5HY9ig5oPdgrXT1nIGM99yhtPZbtdD0iGXw9ztOCPUqqfT0RH3w9+L5vPYfpiz1kBZI9zRSJPVBahz3rSIs9bfWKPRJ9eT3RlF096mFsPcI/cj0aNms9fjl6PXtMcD14p1g9/MBcPfF9fz3Tz4Y9jsaHPXoBcz37FHo9rsWHPbu1gj13RIA9DjeNPZp+ij0SVHA9mI9kPSfBeT1EI4I9qi15PQ+QhT0ULoM9p0SHPTDalD03CZg9Ny+VPY7IlT3gKJk9uieVPfkCjT1p74o9+42GPZHMhz1x/pA9YaaRPdpOlD1PqpU9QqqUPccEiD32cI89+ZSMPVWUhj3SY4Y9vhKWPUIMnT3AR5s9PDeaPbrymz1ESZw9ToSVPcmJlD0swqk9q0yrPRbZnz0H1549dJepPa/+pT1NEJk9p7eGPTWdeT1B7Gw9YVCIPXWvkD1fiI09m8SAPWHIeT1BwHc9OutuPdKtgD0bz4Y9uzWKPUY5iT3PxIc9MyyKPZVwkj2NbHg9CntZPX0AWj2PWV09ZIZlPbebYj0C72s9PimAPUV7hz0FqYY9IxyFPduLhj045YE9He1/Pai5fz33lIE9DHWFPfaTgj1XXY09XeKRPSvsmj1XD509+36gPTRvlT0rJ5M9HHuaPSDmoD2OCaA9HsumPZPksj1DsKw9ej2jPUg8qD3blZ89NWOIPWhKij2ypZw9hVybPbBTnT3mN589q+GVPWA1lT0cOJ894lymPZkqsT2ubrI9n1i1PTkWsz2LtbE9zf28PcVwpj0ee6Q9A+OtPWgBsD2Bi7U9sAe3PfK3oz0k6qI9b6ylPcXnsD1/i8k9XV6vPQYFnT0OcJY9nciMPfSdhz3pg4k9mZKQPSNOmT0h7JY9Y82YPWWyjj1cdog9M+2MPRoZkj2klZU94UyUPYr9hz06sIc9LCuDPQbKgj0EpYc93WGTPYB5kj0au4o9k+eBPcDZhD3/HIQ9e0V+PUSuZz2LInM9YkqDPbRDhj3PaYg9v31/PbZ9cT3NcXw9FdxnPTmWWz3gimI9z4tzPR87hz15YI49gUGUPfBRlj1J05k9472nPXzlqz0UPbA9lrelPQ3uoj0FGJc9snqRPTBDjj2jE5M9KhaPPU7eiD13T4Y9fnqQPWpqkz24dJE9p72XPcppmj3nmJU9JEuUPatghz0Fc4o9pbeVPQ0OmD1KdI890xWMPfvYhz0lq4M9k+WIPbwNjT3tko89wo2GPQXjgj0ESJE9lNGSPaJWiT0QcIs9B/+OPVUgkT1fwa09+Ra6PcrRtz1iAKU9QbmRPd3UiT3+mHw9DTJ2PaiTcT2gxnc9vz+DPVK/gz1v1X89vJB4PSbifz3GNIg92XqUPQmakD3jmok9PJCCPW5vgT09OXw9VsiJPbo6ej2142M9Ny1RPUKoSz0Gb009Jt9cPQxacz2lEIo93kOFPXrNgT2vjX89M0WAPX35cj1EhHc9OmaJPZXsjD0AiYo9SA2TPYHxjj2ICIo9dlmPPdPpkT26lpI9XX+TPdXTjj143pI9ZlaZPSmmmj0o/449vTqLPRpXlT3pgaM9XtKuPQXQsT0LaLI9UuGlPUlUiT3yOYE9AiCIPaRjij1H45c9YoyfPfaRlT0j8IA9HX5mPeobZD3mwWs9qPxqPUEyTj0F5zc9/08nPUboJT3ZETg9GqU0PQjDGD0RixA9E54QPSAJET04mg89wnkVPbKYHz1VEBk93fkMPaasCT3dS/M8vfnXPNxyyDxokL08hVS5PNFatTw2/qA82pKgPHfEpTwWPKo8lJubPFAimTwMsJU83BySPMS7kDygsI8890+BPFV3gDyXloU8lQiIPPgAjDzMP4w8cFOXPNmtmDzkepg8URSSPKnekTxrIZc8cQKXPN2lkjyYwIk818CUPN/6jDzw24M8i7mHPP+GiDy4BIk89sKDPA6LhDwNtZI8E6CNPJXMjDwAeIs86FOMPB1aiTx844I81cidPE3ZnzwZTaM8l8WmPDnWpDwmpa88wV2nPBaypzyw/KQ874avPF1J4DyLvAQ92UUTPfC3Cz02heo8+P3pPBpAAD16mxc9ESAcPWKoFT3Xww49xw4LPbx65DwMbMs8DrrsPFap+zwJ0wM99+fsPLr6vTyZMq08wymmPI5kpjxSsq88xlbBPO7GtjzIJbY8yrbIPBTTyTx0wdw8zSHxPDs/1DxPTMQ8k+u9PEU0uTwmL7c8Q1q3PKWxvzxPIMU8hAHGPNCJ2DxmD/U8CTjkPAzIzTws/cM81XbGPC2VvjwzCbo8XKepPDGemTwI1bU8kAPZPHRF4Dy9baA93FkAPsNG/j1cOxk+5LMgPiQRLz4RtDE+wi0aPsxXHD5N/Bg+LLoKPr36FT7rUio+sHg7Pl2KKT5UAB4+8PEnPo2FID6t7xY+LeEbPiJ7Iz52BC4+GLg0PrQfNz4DRzM+fLY0PlRiKz79/yg+SK0jPrdHGT7T2iQ+cms1PquROT7k8DM+5y0mPrEUJT62hR4+56kfPobuET7jgxY+JEwdPg2DHT5OgB4+8lcIPm+kET7DZSw+aFszPsd0cD5j5og+/pw/PiUlOz7UISE+F54sPttkMz5RsQ8+tqUQPrOjMD4+nSk+PXodPgw4LD6E4C8+nJw0PpoyPj6yjCo+Hm4fPpuEGj7dpQ0+s90sPr79Kz5nARg+4iQaPpGiHj5rdiU+4hY9Pp1ZPj7cRjY+Erg2PpU3JT60WB4+zOQoPn9YID4JJCA+2vchPjjaKD56UC4+MosaPuMLKD4j7yo+kCkjPkJjKT4Xv1I+Kac+PveuKT5rmhE+3KsIPhYSDD75LBA+vTcZPi8mJT5I0BM+I4QJPhPqjj1Tebc84260PC0KnDz9XJk8n9WcPO/gsjx5FL88M3fKPBnIzDwK1tI80mjVPHGn4DyxDt48VvbhPDK87TwbVPw8U+L+PBSGAD1WpwY9PxMLPbCbED3vWRQ9TWoUPRi0DT2wXw49dfIWPUUpFD3K0wk9xLUHPRJkBj2v0As9YlwXPUomIT2fsSI9MiMjPcOFKD2MISs9IIIoPTw9JT3z3iM9fhgkPdIPJD3q5SI9C2cwPfxmNT0Cgz09Zn4/PTZMPj2hjC09Mm4sPYL5Mj1feDo9cSM+PV74Sz0BxU094DZPPffNTz14cVc9lZtUPVWeSD0GdVE9bIpuPf5VbT1hMlE9zk1TPbH5WD0LOVk9/ntkPYkWUT1BEVk9wlRePV5OZT2n6WM9ebB3PfBXez0/NnA9ic1yPSh0dz2cBnQ9ByB0PR/SeD3Jc4I9TtmBPR7Ogz1uA4o95o+LPdHhjj2S/4g9mWaFPd9EgD1b9X49A8F4PagFgj0c9YQ9/wiEPRYkgD0M44Y9puOMPYkOhD2Ncoc96sWHPZ0ciT1nCI49jX2aPUKnnD0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/OmF89zARlPQmUiD179Ys94fKJPTLvfj1vgmg9ig9uPVrKfD1fyXo9PfRzPSjwWj3yQUs9vDpdPX6lej1yDYA9qOqCPbN7gz3VLX49uDeAPcrXfj2JOXE9XD1wPTG+bD0TZoQ9YsOPPa5OjT332Y49hMSOPe9tkz1g+oY98TuBPVngfz3T6IY9otuLPbEWfz08PX49wzqIPT5Qhj3bAGw9K8hqPWpKdD1fQnM9kPZrPXV7aD3z/2o9D1lnPVJSZz0NWXI91hJ1PYD4fT1OVXw9TtltPQMWgD1hcJM9v0aSPdw8iD3CfIk9/EiMPV5Ogz2uO2I9Us9dPeF3eD014X897hJ4PRw4cz0WSIQ9Yc+EPYErgz2rMpI92k+ZPXnujD0n7G09upJ4Pbwyhj01u4w9TjSPPWSFhD2ZeIA9SDp7PbhKfT26BIY9822JPX72jT3mfIY9/++NPVTUlz2O3Io9TzKEPYsRiz1HaZI9lTqVPQ3/kD2LfpY9rBOZPbz3oz1pK509b/SfPYD8oz2kVJ495RebPbmajz2wq409ifmFPXvBiz3UPJc9kAKaPaODpT27yKg93bCZPdBHkj2P4JI9yeKSPXWsij0UMYk92xicPcPPnT02E5g9MeWXPTPuoT0k4J89iY2aPTFZkT11tYE91yZ+PVUvgD39QIQ9UwKCPafbgz1LjIk9mzuKPU8ejT1+OJU9JzuVPUJWij2mIX49V497PWNOeD1B1XE9B7pvPSpegD1pCIM9ExaGPUSHiz0RE4s9ehiFPUqCiD2SN5U9hhSXPUqelT3CMoo9aC2LPZz7hz3BZII9toCCPUQEhz1X75A9G3ugPWiDpz360rM9MBq2PaiQvj15Lrg9faakPWCulz2mL6o9Uk2mPfrQmj3ddZ89wa2rPdXWqD1J0509K2uXPUs3kD1RR6M9ICaoPRp+lD0GtJQ9Z3qUPdf5lz0D3J4988OqPbqgqD1xmqs9ulWtPc7erz0sUbw9rG62PU32pT1krqk9ZMmiPU7bmj1LBpY9qaKdPfz3pD3mvqk9+d2tPUzusj1YY6I9HU6cPf9Pjj0LPoM9EpaBPUE1gD3LW4Q9KxOJPdNlkD00npo9HoGdPVWqmj3h9ow9ZfyGPQfIlD3Khpc9qSCVPacvkD0w0Is9SZ+KPYW6hj1Xh4w97EaUPVMJoT3ET409gWV0PdOIeD1dr4A9d8x0PTtJaz2Bzn899WeQPQcNiT2FvII92vF4PcPrbD31zms94lt+PUbifD0YkG89b6JwPVmuhT0e6pg9LiCTPWktij1JsIs954mjPXLPvz0x5bE9AOCvPcKInz0xg409+xyGPVKoez2DyHA9vAGFPcwuiD1SgX49y89yPVzcfz1wh5A9R7egPWN0mT2FR5s9Ix2hPZbbjj3EoXQ9MqxqPZHXZD0VYmo9ywF3PXYkfz2xnoY9D1uEPY8lhD3CKok9ay2KPa4Fhz3naIg9O26OPRWQhz1K44Q9F+yIPWtvij2/GpA9UbanPZjZrz1ZaK094s6TPTPmdj35ZG09HQhkPUv8ZT35gW49TjlxPaOcdj2LEHw9j1OHPdwbiT0gMYg9jT6dPbyTrT0+uqs93ZK1Pdignz1rUZY91d+XPXg2kD19bnA94o5oPQ57ZD0zjGE9qhJ1PUx0gT0j7o49kkWaPQVZjj30ZYs9/16CPT0OaD0+nG496ISAPbGeiz1/7449RRCNPaoTlD2Ghps9maucPZgEnz1cNZ49myyaPWRBlD0W9Y09JtKFPQL1lj2qqJ89D5ydPcTYjj0UwYk9WxCfPY+Llz1qLpE9R3iMPTcyhT3B6oA9EM2HPbZIlj1dYJk9pJiLPQ9phT22V349usBnPSMwZz31XWk9TfBZPTwBRT3ivyo957ckPV1zJD3RlyQ942wlPcg8Hz2Puw09f0gKPdmHCz1E5ww9t78YPV7nHD1g0x89A88UPYADFD3oOhI9TJb0PGK9yzyzPbw8U3StPKshpjwgM6Y8cEGlPODjnDwbIJg88EqhPNyLmjzAKZs8/9OlPE54pTz5b5481luSPJ29fjxT+IE8OjiUPLq8jzzSBI48juaLPDrHhjywc4k8R7WRPMjIkzyscIw80gaIPEhGjzwiKYw8jQ+DPGV2hTy80oA8iKF7PNkIijwt/Yg8yiiCPD0ihDxI9oo8l9iJPMMFaDwX/GU8vNVrPECnfTywvXM8/NmLPFYXqjzybqo8IkGpPP+ZnDw0HZs8BvC7PDlpxDyJ+ck8wgTKPNMesDzDpLs8HJMWPTJ1Qz37wy49lGQEPb9TBz1Wggs9HW8mPWG3HD0SIQ49aF3oPBhh2DwWgNQ8G8HyPCP5CD2FrgA9rU3FPNfapjwPPak8bvGYPDglpzyPLao8DBSzPFiDvDzooro8bWy0PBEkyDxhttA8tiLePFE97jwdjdo88cLGPA4l1zxCIt888iYCPRQu4DxbpsQ8iIfPPMF3xTzo18w8y5fNPJyTwDwl+cg84Vy7PAu1uTzlkrw8mCHMPI810jwhy3g9KaeTPS8jHT3RNVA9JQ3QPbzjAD6o0BE+4SUaPphhHz5Pzig+P/kuPguWGj4QTx0+Td0VPrxPDj7+CRQ+q88zPs+jPj6W4yU+rokqPv6mMD4tXCc+ss4iPrzFKD4Fqh4+y9QjPkLOIz4KLiI+8LgjPj1WJD5bPzI+uyYuPkGjIz7y/is+Zl4/PtR9Oj4cJzg+nwkgPlxdGT6LTiE+kXkmPgfyJD7i1x4+0bglPgl4KT49sic+pBsRPmZEED69Jxg+DFsVPro9DD7YyiY+qPZRPoUIQj4yVTQ+EsBhPlYPdj7yfEE+OUoXPgngHD5SoC8+Q2YyPlGMNT4qvkU+Be1IPhz8Mz5UhyU+Db4sPg/gKD4daio+xQAuPvzNJz48yhw++OUpPgh/Kj5z1CM+AU4gPhM9Kj731kY+8hcsPtgFJj5Z5iU++/wOPrqRKD7XDyg+Jt4cPu0jHT62mhs+mRIQPvg1IT6TEEI+nsk5PlgGNj4mtDM+fe5QPrIeRz5hgjw+dbQnPrfFID4jThw+q5AOPnNuCD6f0P09iw+3PdYnmj2JOjY96h+NPMnxhjxF34Y8GR6JPA0fjDxxxKE8mrqwPGMYwTzG68M8WpHDPJXIxTwoet48w7TjPJlH5Dw0Suw8bzruPPIH7jy8l/c8YWEKPZeaCD2flQQ9NYQPPYd8Ej28vBQ9m5wOPeWHGD34RCY9V78lPZwjJT23PCY99+YkPYbdKT3+9So9riwmPcqmJT0A3So9k/0sPehMKz2gyyw91wYxPfNsMz0HKjk9TzQtPanCKj0cGzI9KGk6PQYpOz1AXzc9dw4zPZkqPz23S0496c5UPa4dUT2BvkI9SCxQPcFfXj0yA1E9qdNFPaoZUz1CjFM9Hz9SPd4JYj3AUGU9VAtGPTeCRD3n2Uc9a39fPf5sZj0roE49KPZhPaOZYj1sYGA9Ts1gPRbAbz35koM97D6NPUMTjD2GQoM9cydvPRPTgT1oZoM9MPJ9PTazfD20wIE9zPOJPaCshT1VkYU9aSqIPel3iD3H1oQ9/+h5PS0egT2Cm4I9QdF8PcgAfD2h2X49/nmAPTcShz1XfIo9EvR/PT1ifj1R5Xw9zcSBPYnUij0Oa4w9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/vGxYPa76cT0/qHk9oZB6PR8vaT37dGc96K9sPUNaez3sXFg9TiFQPYv2Tj2+JVQ9vO5xPYf0gj09u4s9w8yIPd+gej3C4XY9hsp2PeFyiT1k44c9tzV/Pc58gz2Rq4Y9/AOAPdD2Yj0yUIM9KF+FPcVBgT1MZ4I96cl5PSSJiT1Uso09i2iMPYb7jj1t5Y89Yo6CPdWbcT3lKXc9ClplPc1qdz1Cv4E9R96OPanXYz1b3GA9V/hgPapwbz1FfHc9SjVmPZaxXT1Lanc966CCPec6hD05g4U9MRKaPeUUhD1sK3M9iYRoPY1HXD3GNVs93KBuPYTSaz3T7IA9sZCGPdOAiD3Th4k9FNiCPSxShD0dt3c9+Dp2PfFBdz2E4nU9+QCAPbAAgj0a8oQ9fLSLPWc2lj1fDZo9+hurPRZ/mD33NoA9aQ1uPcvpcT24l3M9QrhzPSUOgD32I5E915KTPU2TkD1W2JA93YOUPfmnlD2kaJg9u4CWPdAckD0wQI89DEyVPUbLqD1ib6Y9KDigPen9mD0owpQ9zEaGPXIVkT0thaQ9SNGrPQHMuz033Lo9wcSoPUHOlD2+8Yk9iGaLPb6Zjz1bsZI9i8mePbDSoD135po97yeePeeIoD3oAJ89hKeXPRRgjz0G2oQ9Md+IPQOnjj3qipA9tKGXPTaJmj3wEIo97Y6JPQwTlj34PZQ9jw2FPdBgZD3H8Fo9aq5yPRfsgT2KRX490eRyPZZDfD0MX4Q9GnOFPdLAhj0hAok9qNaSPSwijT2HAYE9UC2LPRbZjD1K4Is9VpKHPWOjij0+PpE9afSRPZUamD1dR5w9+IOmPXbHrz2rXbI94kC0PRFQsT3mD649QQWrPR0wqz2dY5w9l5KPPZswjT3/JYo9GTiTPTJxoz2Im6E9ef6QPa8LjT2JF4k9vnSKPdfQlD3Np509T7uRPfDPjj3RvZE9vSuWPSx4lz3iZJk9WN2hPVHwoT1GhqY9W+2uPb0dqT2KQ6E9QQanPYd/qz0gR6Q9IRiaPe+Fnz0yzq89c0egPcD8mj3yOJg97rGLPZ4Wfz2Cb389uylyPR/eaj2ZG4A95N6LPdwZhj0kwoM9JiGIPd6ciz3rtIg96UyMPaZVkD24MY49+A2TPXZNlD0mJ4k9kKaDPYtclT1xUK09Zl6mPYm5nz1p0Jk93EqHPZ53ez3HcHY9uI98PZOcdT0Yp3o9uZuEPSjejD1WCYc9CKuDPWJChT3HK4c99o+GPSEmiT3Hh4o93pqUPRZ9mj1oHqM96KqgPSZNhj0tV4w9fcKYPdFMpT18/p49B6SsPW9+pj35+4U9A452PRZoez2BKHw9B9uDPfNohT1As4M9RT6APdyBgz33joo9Jl2dPZPlkz1XV5E9BsuIPVu/hT0NiYE9yR96PUekgz0aZ4Q9FZ6IPZp3ij2jLIs99YuZPZFVlj3cRJA98HCQPVyPkj2IMpE9ox6WPVRShz2VUXs9xzGFPZRMij2sbJQ9ot2QPY6Ohj2TnHU95ehsPTMebT2EGIM9fKB7PZhMfT0XxoM9WEqCPX5Hfj0u3XQ9N7yAPdtSkT2jIJs9U/CoPaN+rT1xA6Q9qAOkPbzwnT0hEow9o958PTYydz35xXg9/mWFPZxHkz3gXZM9LH+XPS4Wmj1AMJY9wf+RPQwjlj17OZU9GvOJPUlPhz3253g9RlOHPQn5mT2d56U9te2oPeUlqD3gl5k9Tl6dPY8knD0MeZo9FeuVPTz/lD1zO5Q9Ut+aPWZ4nD0eFZs9AYeWPcgWlT3LYI89YsmNPd4UlT3W9ZM90xOIPSq2hD2D0nk9E6aAPcOkgz2rjoU9MYOFPbm0hD3WA3s93vFkPa65Xz0CKGA9DQFDPRU8Oz3D4SU9eo8hPXcNHz1zsBo9Yi8YPRD7FD2/ag09b10WPdxQHT0yBhc9B2UEPbQdCD1hbhA90EcCPd0C2zwUfMU8uvXHPMQOwjzNoKw8hB6dPFWrkDzV8ZI8fFOXPHm5ljypMZM8+yCOPFo2kzxs0pA8HMiaPFOyoTx/s7c8lDWvPKkcjDyAFYA8EsaDPJ6njzyuNpM8u0KUPOGNiDyQc4U8g+mIPNiMjDwWzYU8ZOBuPBh1eDzSMIE8gJN6PORcdDxHRX48hSmIPOejkjw8sZA8fBuOPIG8kDyraoo8YTWFPCLWhjxnPW48dEJrPMmucDzZXoI86sONPCeAkjxvEKA8DD6lPDFArjzGAKs8QEyuPESXpzwTxLc88s/FPCCmzjyKltA8Qj3lPHJkDj0Uxhc9Ku0GPVRq4TyK5uY8mqwCPVjkCz3QGes87cfRPFQJwTyEk9E8rF/ePLRLyDzkAKs8iRauPKugqDwjT6Y8/9WqPBO5uTxxa8k8IbLOPC0u2TxvqO88z0nyPKRc4jyZ7d4891rXPHnp0zzEN8k8OK7BPK2FtDyE6L08rDvEPKvmzDx3DMM8g17HPJB9xTwJRMM8/O7EPKMhxTwJy8I8MtTNPGmPuzyFJak8jAKvPJZHyzyDLyw9LMnhPd+10T3Wip49laWkPdb3pT0LQuU9YhcIPsQyFT7mvg0+vRIJPhWLFz5N8Rc+22VqPrEkPj6InyE+pZIwPqDYKT720yY+ycc3PsgiKj442ic+IFQdPqAwHT7XqiE+45IRPoFBKj7emzU+3cM5PuBnMj6nCyo+hI9UPm3FUT4VnT8+rAs1Prl/JT6QUCU++dwwPsd3Jz7SQBc+EmIWPr6gLT7kTiA+UXsfPpuzHT7CRiU+H0MuPq3kFz4QMEA+iuR3PoHSOj7J3B8+P/MzPpF8WT68Cjs+sb0tPu+5Ij53aRk+WGIcPtuNMD5NhSw+mSQuPkWHOD4yYzs+AXkxPswoRj7u7mk+/xJMPqY6QD40lDA+J2gpPq8pIj6gJQ0+wecZPsPZQD4aIUc+lOQ3PvuQKz51FzM+xaA8Pqp6KD7QNSI+JU8fPliCGT7Fcx8+V8EgPiz4Fz54ER0+ZwYiPt2yIT6wtiw+rj09PqSWMD6LGi8+8AM5PguVWj4Wxko+FtYhPsAsAz7CrtI9s3yqPf+aPD1UvhY9MQXuPEBWzTxcsc88zlLHPFa8vTwil8k8h7LjPAbX3jwrPdI893rQPG364zyTeO48FNn2PHIiBz3t+wo9ejQIPYu1BD2BhQU9Z6MBPZoMDD31cBE9t6waPR4DFD3FnA49fRAQPZ3PET108xU99wAWPbd0FD1Ymxg94CkiPQw2JT0QECc95kkhPQTYHz1gVB89ZgAiPRjOLT2rFCk9udglPTNUKz0W0zM96Ss4PSSNLz1Gwyw9mdsvPWiBLD0W0TU9SDQ1PQDJNj0HXTM94K8xPew7Mj295EQ9rK9RPTDeQz14KUY9dpNEPbt5ST0Rh0U9j+czPaUpNz3O3Do9Su1CPThoUD0Li0c9gOc6PWABPT1/xkg96z1QPSlkTz3oAl49zHhgPe+Xcz26dno90tqCPQeggj2aAXs96KR8PbFQgD2tuoE9Y/Z8PSrodT37BX49Aft6PTANfT0Piok9UTeNPUrEiD3uB3w9BT97PZJScz3jnXU9iUaBPTpMej32FYI9IJWJPYughz0fk4Y9g1iFPb1LhD3lsoE9imOBPSi4aj36qXE94LV4PTm6bD1zCmw9F7tsPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/43iXPaaJjT2zGok9eXZyPdCaaD0XWmk9z+loPYO1aD1jOYA9VUWBPUBAfT3p0IM9LXZ/PWs4az1UhWg9GPyNPa7Djj0DBns9ZYZ0PVtxdj19H4Y9ACCHPR/fhD26Y4E9e9eBPcjcfz1h/Xk9MnSDPZs+gD3Y+3o9dNKDPRtRiz2aj509ZJygPWq5nz0LAJw9p8SRPYc4gD3zSmk9Yt6APcA7hT2urYk9S72GPZLcdD1PV1Q9HWhdPR6faT1tC3A9xX1uPfoIbz0ALHA9Vo1uPZ4hbD23xHk9T+R+PfeIgj0Kjm89LQxePd8mWT3QUWs9oDB9PehBiz1Bd4s9vRmTPRPdlz042Jk9D0KWPcLknD0NTZc9XseEPbU3hj3o44U9PfuCPWC7gz2Cm409OJWWPUjtjD1aRIE9RDiKPS0PhT0rNHg9ulliPc6KYz10oGU9KbZrPaPDgD0fb4o96/CWPb9Bkz10+og9Q5KMPavenT1QYpk9ot2XPS5AnT3+I589uLakPXqVnj2oE5s90wKQPUpnhT1AfYs9hmKTPRkIjz336pQ9wd6fPfSCpj1QEKE9Kr6iPaOkjz3Ygow9rfSVPZgmmj2BN5w9sqObPQPamj3u7Z89h42jPSNnmj3e5qQ9zSOjPUHAlT30wYs97YyhParGsT0YxKA9lJmcPUi2mD1ZEJ892GiXPSVwkD1biKM9euabPYeVlT2VqJE9CNaJPbICjz0/CZc9neiUPT3Ykj2PKYY9HUqHPf90kD3dopQ9pfWMPTvYiD0hPIU9gwaIPdu7ij3s2o09YemMPfNskz2zm5s9yrKaPTivoD0D7LI9FpOvPbrYrj2C2LE9iTSpPWT/jT1Go5U9boKVPUfWlT2EiJk9JF6XPQkokj1uPos92FCOPQcCmz050K49viqjPZCYlj2JUpg9PuCYPfrzoD2gRKY9Tn6iPYG4mT3ugJU9r1+SPVMLlj21z689416wPcu6rz299K091kCuPf1boT0iDpY9gEWaPdOKij3RpIA9yf+JPaqFjj3t55E96zaSPcvWlT21uo89DDeUPU7Joz0ObqU9dzCbPc/Xjj3qco89aiaSPb0CkD2XSY49LgOKPbqdiz24Wow9Y1+HPZcBiD1u+YE9lTiJPTC7jD0IWoo92Z2MPeoKkj1BUpc9W5yiPUNekj1t24U9+CCAPZ4Wbj0wrWA9lnNrPdAbcT1SKHU9CDaHPbWCkz26eag9p3OsPWxGqz2S56I9p26jPdqTkj0AA4Q90eOJPY41hD1rXII9iZWCPaNjjD1Y14o95HqWPReMnj2PV5w9a1GaPfo5mD02xnw92P1oPU04bT2gVXI92Ul4PXolgT1k+Yg9VKiSPQjvqT39J7E9JlmoPYnklD0kOpM9gzyMPejehD2W9IM9ezGIPfeKhT2SzHw9ndd7PfOKhj2C7YU9lomCPZ1okD0nh5E9gZqHPZ/6gj0nYYk90umUPc2moD0iBZg9llaVPZe6jj0wFIw9CZSDPQ8jhD0WjoI9/wZpPbMMXT3Edl89MsJ+PYfBhD3JS4U9vj6JPYvdiD2mTYg9MX2BPWH3kz2OoKY9oYiePb6Tlz3K9pY9ao6KPfPMij38+H49QoGCPc3Zgz2RuoI9nOWBPT2jgD2Uo4Q9EzmKPQA1ij0kbo09LHWLPbHjjT1cVI096sGLPVKMiT3B5Yk9NsSVPd1mnT1NRZ09sj6aPdTFij2pcIg9W16RPY9Elz3JqZU9EAKdPQYYrz33+K89GhWdPY8+nT3u6Zc9ZOeXPSrFkD2cEI49++eIPT8Ljz3534I9k1t2PVeqhz2e9Yg9o5d/PaQndz16LYU9qpWCPTAGaD2u/GM9EVJhPXidVj12KkA99loqPWY6Hz3G/Bw9U6kXPd5SID1H0zA9M+YvPUOYJz2soiM9ZqAbPQWgIT0VlRs9+p8QPQQZ+zw7MO484A7EPNolqzwrHqg8Oye/PPeKuzzZD7w8HIO7PP5xrTwkOZo8qmaOPDiwpDxLR6Y8I2maPHYfhzz/U408yPmcPOYquzyFVr48rPO8PIkzrjx8Y5w8tgGRPHLKjDzoBIw8LbKRPK5HlTzpkIs8u3uLPPlZjTxnTYs8Vr6BPGHWaTwAnWY8hEiDPMQthjwUuoc8MkqJPLBxkDz8fJA8G6iQPICUjjwRWpE8MQOVPJFIiTx4A4g89HyIPDTghzwaQoY8dW58PA8ohjzwl5o85sCwPG7PtTxthbk8XAKwPOBbpzyCAL88WF7jPLfF2jzPs9w85LLlPDk97zzlOAQ9+tP1PG3P5TxMlOQ8cXz3PMy7Az117QI97mbkPDA23DxARt48alnSPI/WsTzV5qs8YAGkPFpjqTwCxKU8MXSoPGQgqzyRPMk8zQvcPH0p2zwGw+U8D/jtPJQd5zwSrsI82ZO0PE4mtjwf9r88R5XHPAkIyDwOYsc8v/HNPFVb0zxHYtk8RQ3KPAgk0Dzu1sY8J1+9PDPFwjw0jrU8XeW8PNnVsTz/PaE819qbPDChjzzGYKI8Y2YZPaGkYj13A/I8iIjwPPNdGz2g8Hs9HgGmPafTzj2jVBY++lsePmIvJD77IzA+pVIcPi04PT7b4T8+D9gtPqxGLj7tbDA+q3EnPq7LGj54kiM+hnIgPpRnGT7MKhU+jXcgPg0XID4ahiw+icU4Pj6SOj4esy4+9oEgPvHuPj59eVE+439BPicgQz7hzDg+uOtEPvm7Mz6K2iw+l88fPr0aFT7inhw+IV8mPi2DLD6zikI+D1A0PpN2KD73QiA+wTZgPhnjPj4IvhU+jH0rPotpOT4FYyc+Nn0gPj+AOz4E3zU+eg0iPto+HD5MpB0+1FsaPpC/Hj5wMzg+8z5RPt+IUT5Fv0k+YXcoPrL8HD5T9So+kWIuPt4cMD4opCg+LGYQPjyqIT637Dc+hu0sPubYKT5nASU+kbY5PtUCMj5WzSE+BugcPnrZHD58Ih0+5dgVPueVGz5Q2CI+h/wqPuOgLT5InCk+pmApPmn5MD5INSo+848WPvgJET6Ltd89LVGCPcwlGz1k0/Q8F9nIPAkswTw4qcU8swbPPOY/1jyTduw8NzH1PBYO9DxPY+08B6UAPWlwAj1m6fw8XAX/PAuy/zzOqAI9Kh4NPQUSFj1vYBQ9eHEUPYE9Ez3c4Qg9fL0KPaWLFz04qx49r0cfPQZCHz3NMyQ9QOgrPVpJKj1scSo9eaklPUMDJD0CAxw9LnwXPWqHHj0L4iM9YAYnPXVIKj0fbzI920UsPR0EKj3pLDo981U1PYw+Nj3L2EA9ZRhGPRelQT0VUTo9vGw9PdfzPj2lp0Q9IaFKPe7hQT1jZTw9cjlCPY0/Qz25c0I9uqRPPYeYWz1kcEc9yHc+PSYdPz0Ppjo9l8E1PX0kPT3Rzzw9tUtFPeLhTT2fAVk9L9RMPZWcSj2DVEY9K6tQPTUqTz3GA1E92v5fPfu6XD0thXw9LA17PYDHfD1Wl3o9SYxvPZZJgz2p75A9OvOTPejWkD0QSIs99sGCPZ/9fT1m94g9QvuRPZydiz3+D3s9c7BzPdKqbz2JxF492P5YPZBDYD170Ww9WPZ2PYy+Zj1cyHY9fyR7Pa9ZfT2LUYM920N0PRuTXz0YSmM9gYBrPbq5fz05yoQ93vJ3PVn/dD0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8t/Zj3Lf2Y9gB5mPeEiZj1M3HQ9xh9zPRFxdT14eHU9HB12PQtkcz2vMYM93D+FPTrZaT03c109NXpwPTJ/hz1Ban09pVR5Pa9Xgj1d8YM9iHOJPUVbfD0yVn49W0GQPQAtiz2jJoY9rLSGPaxlkj3wl5E9MwKIPUE5kT1qGpU928GTPfy5kD3SQpE9FFiIPXoMbj2GqGg9EmyLPaJRmT3F6o89QfqBPUmwcD2vy2o9+7pmPYUHbD2puGs9uC9pPR7bcj3/G3Q91DlnPeI2ZT2Bl2g9nyVaPR2sUj07tVI9xLhVPcPqYD0PKoU93TqWPR69kz2mD5Q9d46cPWW9nz0lcaQ9Vr2pPZT5mz0bfZg9iTyQPWRMjj1HLog95vqEPT68iD1xfIs9swKSPZTVhz04zIQ9t4OEPe1Iej3D4HQ9owBkPUcPZz37U3A9t2h9Pb2mhj2cioQ9V8d/PVSChz2amZA9JV6cPTSuoz2fDKA9G4ORPZYSiD1nCok9CeiMPaiTjj2eiJA9Zv2TPYQmkT1nkJA93iWfPaB7pD2yfqA9SVqUPTKolj1SlqI9p0CaPdchlj0u7Jg9QkahPUnZsD1dA7Y9tsavPf4foj1DO5k9Vv6OPQNdlT0fQpE9dvSgPXmlsT2afKw9jRajPaYAnz1JJZU9Ax6bPb5Goj3xq6A94fiaPU+tmT0gLZg9aWmZPVFUkj0TGZc9g4mfPWIjpD1njKw9MTmxPczepT3sBZw9ivWLPRAqhj2oloQ90CKOPVUmkT0ITpQ92JymPezUrj1gd609n7uZPdnCkT042ZI9ZWiRPQU+kT2c9ZM9poSZPRV6nz3rtJ89g1KYPZrkhj363IM9j6eHPZBvkT1s75M9B6GfPRePqT3qA6c9TP6qPQshpj0/rrI9j/u7PbrZqj3fC6g9gHivPRabsj1Bwa49UwusPWMUpj07RJU9EiiZPaK+lj17/Zg9RPGdPVM+rj11T6s9E3ayPXL1vz3WMaw9dKyYPQcukD2Pu4Y9BACFPdhnhj3X64s9RpORPZr0lz3b3Z89l16sPTNZsj1pG7w9jQm0PQORlj2uLI49m4iQPeN8jj1O+Yw9C96OPR/Ghj37+Yg9dO2TPcCnkz3EMpg9k8CTPWzTgz0JbIA9PImGPZR4ij3U/p09VBicPT2Cjj3XOYE9yJ9uPUhPbD3uAnA9uRGDPZ63gT1U1H89Z1SGPQYJjj3sz5U9tAyePV4Boz1AmqE9Q2mfPYctoD25HIs9xJV5PRpjej15W4g9LYyQPagvkT3nbZM9zvqZPacAqD1m5K09qjKcPcfukz2M7IY98pl1PTX+ej1/6ng9Uh+CPbTAhj11ipk9g3GXPZmxmz0E1Kc9/mGlPcvtoj3UyJk9BRWWPZpZlD1GD5k9wV6QPdE5jT0483k9YJtgPebDYT3BmHw9i8iIPVT/hj3geKE9lZuYPSCklT0eyo49HJCYPVBgoD1OVJs9ATaOPR98iD2pc4U9spiAPR6BfD3sxYQ9tYqDPSg4ez2L53E9KaFsPTHlcz3Z64I9SyKEPYkshT0qi4k9WAePPYQikD1rj50976yZPZ2zlD3Yc4o9ArRpPQ5qYD3d5mA9SiZfPXsTbT3NUoE9ZfOIPWflhT3F9X499lOFPQbbiT2rOZA9U1OSPYrDmD0RO5A9gSiNPQB2kz2Dgpo93k2ZPSWlnD1LY5E9xjWFPYG9aj2PBHE9f5Z7PR8wiD3tK5Q9unWUPTiGlj1so5I9zEWRPX9Shj1VgIw98hCWPRqrkz2oDI89MrGPPRNviT2RboM9Fx9+PXXtez2Rd4o9rI6MPelLiD1wh4Y9faaEPf9Acz1zE2U9vtZZPRVxUT1HcDs9UAErPX74KD0lGhk9XmEXPfXrHT3e6jc9LDU7PVqsMj3FZyM9uVooPXbKJj0/VQ894YcAPfvm7DzPErI8Gp+nPPhynTxya588M42qPAWftDw6gKM8+NOjPH+0sTzt1Kc8u6OOPJdBiTweb6k8igeuPH/eqTx0F448hXOQPJrgrzzq+dI8UubQPKpGyjy3nL48Vh2iPCSnnDz+W5o8tLSUPL63jjwzG4s8PIiTPLUdlDyyKoA8upWCPIwLgjwQmn48jQmCPKUcjTyQr4w8TIiHPDtegzxpxpg8SC6YPJHJkjyFK4s8+0SLPGkDiTwX9oE8aImPPNC5kjw3apA846SVPGfqkjy1xJU8RqusPNC/tTyFfLw8mja8PMbEtTzNe8g8pfv0PPcq7Dxjq9U8EAvZPNQL4Tw50Pc8PToFPWgzBD34PvE8dafuPD10+zwLeQI90p75PHp+9TyEnPc85mnvPPqbyDx3kK08pNK7PAottDxmErc8D6uzPJ7eqzy17rE8etfGPJck4DxQf+08AqfgPJlJyDyyt7481LPGPKKK0TwiJ9M8MIvWPLGI2TxYTNM8Ma+/PKcRvzxCfco89ePKPPSFwjwVA8I8LNW0PBNRtTwj1rs8DO2rPCplpzyjB5k8n9yLPDGZjjxxpJI8QcuhPCbsnzw65ZU8yjmFPMs4qTzMuN48zfgOPZH+ij1mMiY+ZeguPhC1Mj4QKEM+SlUzPg4pGT4NaiQ+hAlHPnn7OT6TRTQ+n5E/Ph2IJT7v3Bc+zbAuPhUJHj6guBE+pOcMPqDOJD66GUE+BgRDPgdfMj62HS0+u3QuPmGTGz475SM+hmcuPiQeID6L3xk+zzUSPkxTGD5FehA+HY0WPpikLT5Mnjc+Bo8hPv+wCz4XDCY++vZNPkHrPT7YZzQ+jksaPv6SZD4X9EQ+mN8zPtKjST6yoks+lykPPq2YCT4zziE+tp8uPpXdOz7UVTs+E5UhPjkbLD40NTU+dv8qPuytTz4eH2E+GktHPnwzHT7+/B0+Vb1KPnPrTD6vRkM+EbgbPm1HBj4AJCI+aPU+PknzOT64CDY+EDMePvjDRT7aI0A+89Q0Pm8kLj5qQi4+UZUzPtidKj7AkSM+nwMmPjtlMT5fMTQ+83onPjrFGz7cFAw++eXePYI7YD2rwyc9tgPEPMRZpjyvkqI868ytPIQMwDwod8Q8o0fNPFlA0DztjNc8ibrgPL726DwsROk8OYbqPLrh/TwJtwE9S8cBPXjnCD2Kngo9Vv0QPXUoEz1L3w498VwJPbfDDz2pfhI9IUIbPTqAHj0MNh09TfsgPcIPMj3UKTA9rtYePU9wHT1UnCs96MA5PWbKOD1juTY979ItPWr1Lj1Tpzs946U5Pb0JOz2wmT09uX5CPfq3Oz0vcjg9jPQ5PdrhPj0sIkI91sZMPTU1Sz1PSko9qcBGPSLpOz1kjzo9QiE5Pc+gQT0p1EE90vY/PVUsQD0db0E9N20/PSrKPj2GZT49B2Y+PdZINz3MvTI9Zk8wPSYRMz35dTg9WJVBPY53Sz06aUw9D6NDPbaMPD2GnEY9jZNWPbrAYT0UX2E9UQtePVnjXj01u1s92jRpPdchdT2kuXU9E+x3PVVPcz0hm389PLuKPU2Egj1JS3Y9mUVlPTMTYT3hKGY9tP2CPb7WeT1LWm49HnRaPSZ+az3CM3s9ovRuPQnMdD2m/HE9RDdrPfm2bj028mc9L5hyPVuCgj3vZoM9EVCGPYnMbz2h6Fg9TwJZPTooYz0ZNG89MYx1PW1sbD3f7mo9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+vY2U9dWRkPW7UaT0RpWs98TJ8PXD0dj3qW389EIJ3PTUYdD0X93A9MhCDPTejjz3FBYg9d0p/PbR+gT2Mb289TkpqPftkdj34Z3w9yNuGPWWwiT01IYs9e4qUPRaomT1tZIg9ulx5PXcLbj2noIA9RfiFPZckjT2m8409D0mGPS8ChD0z8IU9uCyKPV7Cgz2sWYk9Tf+OPbt7kT0N9oY94a6BPXyjZj2ZTWY9AbBYPaDNYz0CeH494CB8PXIFdz399XU9eh9sPYkEZz3C9Ws90IRuPW18Xz2QPmA9pmFpPRADaz2DFnU9P4WOPWjqlD2xqos9a+GOPTDCkj2DYJU9PJOcPXoApj0l0JY9ZdiEPeKEgz3cnXg9/H9+PeaChT1yGYk9ZqqLPZZHjT2ihIc9sZB7PcovfT3Jz4A9+luGPWIdjT1mwpI9WOCGPalChz1ptYk9ki6HPayZiT0Ib5Q9kBOcPevsnz2jEZ89dM+bPYiknD23BJI9BPeDPd+ZiT0CiI49jFGPPQ+tkT1DPI09OGeMPTfbjT1rN5o9Vj2YPcYjmD3dg6A98a6lPauKkT1En5g9R1CcPTV7pD17cKI9VLacPY9KjD1rZoo9YOCLPUY9lT1EKKg9Ll2ePRjeqz18oMM95kK3PTONoD3gLJo9PeCGPQuLij0Td5Y9T4qZPcmVmj3Px5M9R5iPPSGpkj2tcqI9YBWmPfrNqT2fIbY93yLBPRCuoD2o0Zo9FVSYPc5Tkj3T2I89ZbyDPdtlkz08GZ09X1CfPUsmoD3Jips9Vc6dPQ+zjz3SD5E9XqmVPdi+kj325Ik9Z1iYPbtinz2imYo9XZuFPUDWez0fu3Y993SQPa//lT2tqZs9LxeZPa+VoD0Vabg9vbq9PYPltz2Qhq49eKuqPVSrqD3ey6c9omyvPSq0sj0FHKs9RtKnPSiVsD0MbrI9rzGdPffnkT33I4s9392NPTonnD3T7Js9VUqjPcJWtj2Xz7w9W+WwPcqPmj2BXos9cSKJPTQZhz149oE9TdyEPQc7iT0ex6Y9pk2tPXSAoj0ZzZ0947KfPbtJnj3bl5U9TdWXPYUopD3YVqo9fXCjPUqalz0EDIo94U+NPSkGmz3KgJs9mGyhPfBzlD2BinU9SvJvPTApgD1tc4I9gkiJPYS4kT3l4I89qXSGPf+BbT2reV89V/dmPSC1hT08+pY9BHSQPVBKkD1prJI9g/aHPeF3ij0YwoA9IMeHPc/fjT2OfY09E5qMPTTdij1wPoY9f0eGPSwEiz0E24w9uHKTPZpqkT3zWow9bKaKPV1xfD3ZR289MAx8PX5Xfz0t24k9Hy+NPR0Qkz2qipY9VsKjPeEDoT3bVJU9fEmRPU+OkT1y25Q9oBidPaSFkz2+mJw9nuuiPSQ+kD3bdYk9PIh9PQHodD26RHw9aAmIPYQXkT2LoZA9PU2LPYzdgz3TTYY9ln6bPdUsqD1UR6k9V7WcPRKSij2bPIU9gPSFPcWikz3lcZY947KUPfj3lz28BpA994+OPeuIlD2u0pU9yZyTPdXcjD3XTok9yjWLPcK+hj37zYY9ta6RPe/ykD2LIYw9NJKDPcktaT3uKWQ9vt9fPSXDZz3VcW89nMdvPb2wgz3uBIM9Bix1PQs9cj0GOIk9QF+aPYubnj0uPp49p6CaPZ/dnD0ra5k9ikuUPQ5ZiD2Lj4Y9czGAPSmOaz2fS2w9PuaFPZvklj0Au5k9tR6aPYs+ij0PAo89iyOcPTwNlj3Vd5I9xeCNPbeflz0wG489u92IPc4Ckj3B2ZM9tDiSPexwgT1acXY9lilwPbhwYD2F/F49JvJWPblhSj2xjUg9gXY/PRAVKz1KiCk9z48mPe9MIz3eiCk9bXEqPTbVJj1Q6Sg98eozPcmYPT2ZNTc9+PcaPZLVGj3c9hw9CIgXPfjRAz3F/tk8Hc20PKL6ojzqc5w8pnqYPBxknjyqbJ0886uXPIdhlTyYKpI8TaaJPGLngzxXhYc8XE+QPO6QkjxHY5c8haKbPAgTmjxsQrI8hHO9PB5Bvjw1JL08cFmzPJlwqzxsLKU8u7uJPDMhkDyLFI884MOHPJ8yjjwVM408qW6FPMBtijzQ74Y8ONKDPA2ajDyKqog8AeiDPAYDjDwCcI08bPGXPALDnDw4wZk8wFSaPKZnmDxkT5E8FKGAPCuLgDwkYIk8TJORPJwHmDzUg5o8XpGsPCT9ujw3B7g83tGzPK/DqjwRaL0844HYPKsP0jx2csU8dRXSPFvO5Dwv3PA8cXAFPUDxDz2owBM9OzUHPUbIAz0W+Qg9DvsCPeDw4zwLJd88rqq7PGlmqzy+yp882q+fPAJuszxR8Lk8Gp7BPBTvwTyYw7888i7FPP7xzjz4f8s8FjTKPCyUyDxHQbs8GPS0POKRxTzkkM48Ua7TPMZs2Txtddo8EKjYPEPC1zzXdLs8BlnDPEZ3yzw+CL08BnyoPOrOpjzwRak8F5+mPPPHoDzpTZE8HKWMPChbhjxoCYw8MwWbPL+LmzwzfYs8F6htPLHKljxP2uA8BF/DPArzwTwNlXg9HIcdPt5AQj4Hijw+ctMoPh86Ij4bZSU+yeodPjUMLD6/ZS4+7zMtPixNLT5xlB8+cn4kPihWLj5esSI+Dq0jPqQEKD767k4+nddFPqnjQT76sDw+vfwsPil/Jz7btBM+vusXPv6UEz6IuBA+VRkGPh9M+T2Ozhk+bS40PtKxLD4Pvjg+TX4zPnTIJT45EAw+nNMSPmCGLz55xjo+HD4xPuoMKT5F+zA+zeMhPgoZLT5pDDk+EIUfPrRuBz6w7Q8+A0cpPiH6Jj4tGzY+0PklPpP/Dj748B8+olg6PnRqOT7Ryzo+qUhEPu0xRD5swSw+W8EtPhu1OT5rYiI+Rh0VPhBwEz7/+hs+Ga0zPti1Lj5wojE+DAE2PgAFND7ee1U+DKFAPlXWMj7jZzk+y3k5PqURMT4pOy4+/4cgPoOKID6kQSA+ao4WPpg1CT4X85k9ymgwPSM5qTylXYs8Yg+VPARSqTxxWLI8Jqy+PHSzxjzFBMw84ErNPDjJzzxlGdY8pfnYPKRF3Dy4+fc8PcT5PHve8DztYvI8ndMEPXQsCD1rZPg8smz4PIl7BT1XZgk9OnsGPVtqCz0cxhI9J7kUPfdRFz12UBY9/t0VPR4iFz0CqiY9/aUoPafcJT1cVyE9hBkmPWRDMj1uBjE9zE4tPUKOKz15Rzc9W/1CPTH7TD1ZYVY9Om9OPSC9Oj2BxzA9Uzk3PUy9Qj0JQU49LV9NPU+hSj0QDUA9EOYzPYpBOj286zE9g1kvPZ+KJz2QSyc9tgopPcOcIj1Rpyg9XicsPSUaNT32ZzI98rEwPdJPPD0wtkc9efFIPb+lSj1t9T495BE8PRuPPT3WrEY9DdhFPYtARD0C2EM9QIRKPW/YXD3PrWE90XlZPX8rTD0LhEg98KBEPUjPXj0sG3k9pe19Pad5ez3yE2Y9L/tvPRwFgD3HIXw9hrl3PX6acT0vnWU9wypePagwgT1TNGs973tePVGwUD2GS2I9afuAPZLmez2FvYE9GZ1+PVCldT3gHmc93EpaPS4fRT2pwzs9RWdEPaLqWT2LJ109qd9cPRGkZz0IEWg9xP1sPRO0bz2uzGY9Gh1lPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/o+57PXEicT2rKW495RFlPZ5EaD2FZHw9Ahd6PV0JcD26G3I9TQKFPelTiT1e2Io9Hd+HPVxogT0qVn89H7dyPQkygj2N6409BsCQPSb+iz2ZTok9kh+APXZXfT01OYc9ceGPPfpBlj1NrZQ9UYqKPbxbhz05eYo9rh+GPS5idj2He3U9WJaBPT1Miz12Zok9n5qQPfYLiT3UV4U9vaR2PUiMbz1cgnE9sk1uPclodz3i8Xo9hPeDPaoLdj1nxmo91imAPV7Saz1wF209IB9+PZwrcz0YPGE9V6FjPXiRhD1Ps4k9ULyXPVFMmz0K3Jk9xd2VPX2rij23d4w9MBuRPYJ+iT0Be4g9bqaHPQq6dT24PnU9RNN7PafYhj0HnYY9sn+NPczJjj0qgY49rHeJPWFbgT1veoY9saGHPUHxhT05U4M9aBmAPc1tdj0YpIs983qdPXPAjj1A6pA96ByaPSY5mz0fg6g9XZakPV/pmz3AoZ09S8iZPViPlD0It5U9Gp+dPdFPmj2PMJg9uSiOPe6vkz1d95U9DKqsPXIbqD3izKA9GgubPVNblD2XYYQ9JlqNPclikT3Gnpc9beWZPWigjD1pyZo9CuGkPXhtrj0lias9yeidPVfGmD1LaZ89gcynPYu1lj2U2Yg9dYFyPXDlfz2uJY49kumaPeAyrz0aSKw9YxChPWgnmD1cG5g9ZRCqPWnlvz31UMQ91VLDPdfywj2A8qg9GS+ePTV2kz03UIs9oSaKPdn9kz3zVp49lBmVPRA9kj2SgIk9JyOBPXwJlT1qs5g96YyUPZYHlj3quJg9uZajPT+ooD34H5g9xTaPPXEciz2nbI09O8mRPdECnz1a9qg9vQqxPbMssz3FgLo963a6PUrZqD23O6Q9OlOwPc3wsz30oLU9m5ayPdtjpj1ywqs9na6wPTytsz0oOrI9svmuPcK5rT3mnqY9tB+kPZZdoz1Zwqo90pavPeGGsD3VIa49nYSlPc3Xmj2udJg9dr+ZPXKXoT3bC549DYuRPQEvkD1g35M9qB+dPUVsnT3r75c9ke2QPRQGlT0tEZo9HcCWPTgImz07u589SdWfPVd9mz2sfJc9mvGWPRPWmT0ucJY9512MPRG9gj3QlHU9cqh6PWc7iD0vc4Q9kNKBPbbIhz1kFJs9B/CYPZ5pjD1jM4Y9yEaKPViQkT2Cap09PGaTPVXijj0FbJM9X66XPasPiz0GtI89xTOPPa04mj3BFqA9OmOaPYVnoD06NqQ9oe6WPVaakz3kxI49Ri6OPeYXmD2ZuaA9MsKOPXeocD0KtWY9ESuBPcbDij1y1I09/kqQPRzelD0CNYg96l+APY6HeD2DFXI9xYd5PQfohT1fCpI9qsGLPZYojD1IjY09HUSUPUS5hz2heGs9zXVpPW6maT3LO3U91KGJPYWFiD0su4I9WH2GPat6iT2Ywoo9Dux/PWrXlz3pj7w9LxG1PXlZpD1KHI49rdCOPXmuiD086I49KMyXPUQMmD3v8pg9nMyNPV+gjj2YF4096TOHPVbEiT3HGJc9IgiUPUhzjT2AsIc9F/uHPYI3kD1PYZY9fjiOPScThT17poA9ZTB8PR8ycD37Znw9tFeBPeTMez29CIM90qeDPZJYgz18yYA99LmRPZ7Zoj1BlJw9IL6ZPXmkmj3GkZM9ytaJPQ8Vhz2zs4U9+y2JPSS4jj2Fu3w9Xnh8PYXCjj2kPKU9S32mPVU1pT3n9Jw9BYqVPUvBoT2QOZM97ZKQPcJSjT0/VpY95VSYPb4wkz0Pf5w9A1CcPQBVkz0yh4M9vrVlPY8cUj3fDjs9Snk5PWBsNz0c2TI9bqQyPTzhLD2G2CU910omPVrqMj3IyS89kjcpPUNkQT2q/jw9JVI0PbZlLT2dXCc9DKoPPSQFEj15qAM9A2IEPQp6CT059QA9XkTJPP70tDySa7s83RSuPDGonDzMOZc8i2egPHNonDw27JA8mwqSPDqHmzym3Jo8a/+LPFkNhjzEeIA8PxGFPH4ckzz0KqA8hMm2PIxzszxVr7w8goS0POzMoDyUfJg83LKOPP60gjwJj4w82dyJPAbOhzzyxpE85LWbPMDNnzz+L548QJ2dPJ5RnTwtGqA8rCemPFAmlTxvxJI8+jqcPGlupTw6N7A85K+1PKzCsTyBoqE8CEeWPI+piDwL7Ik8sUmbPAnHljxtFY880HKXPB6TsTyDI7s8Q8a9PIeivzzI2788R9DHPN1Y0TwnTbM8koOuPA3zxDy4DdY8Fo3yPI+8Bj3ocBE97esMPToW/TyaTeM8iJzmPIGszzwcs6k8PaWqPGHWqTw2pa48aaGnPFwWpjy8GbU8Eb7HPN+j4zxgO+w89XThPHvmyzzr/7Q8p5+4PDx6xjyl5cU8ZsvJPBXT1TyCxc08aYjKPBh71zw0ht48m5baPGhL0zwehb88EUO3PBY1vTz5YLo8HGOsPG1ZoTyPW6k8Cr6nPJcQmTxnNY88x+yLPAbJjDyBd4E8Sa5qPGfudDz2fn48f8J9PEXQfDwgfM88TcHoPL2R0TwwuPY8+16xPRcgJz4L7jI+qGs0PppoNj4hCDo+knNAPt5CLj70GyY+qQUkPkVoJz6gwyo+eBIrPu/JKD4VlC0+UZw0PnwKQD6OHj4+klZDPlP/ID7+bho+rTAtPi/2MT7KmCw+nDQdPn2wDj4e3Ac+jpsXPjHtFj452RI+538oPkoPMj62AjY+rl8qPpS0FD7r6w8+nN0OPqCUJD6MQTI+PUJNPskDRz5d/D0+JOEEPh9mAT7zRB8+qd8cPiknDD6SKgo+yvslPjatMz5Lkh0+d3EXPtl6Ez72oRI+0HocPq86JD5TgR4+AsspPrSbOD6gdDo+TEA5PjhAPD44lTQ+85M0Psf0Lz7Y/ys+tzwkPupPNz6R5TE+kAQrPjBgKT4MpCg+A+EmPrqyJD4u3Bw+Yz4ePintGz7eNxE+bHGyPRp+mT21LrM9goygPZigNz1mGxg9N1SPPMWljjyQoJ48LPi1PMKHzTxD5tA8GADcPA0g7Tyvz+o8Ym3lPKw43jy2b98805brPGLi9Dye6Og87I7tPI9x8jxwGvU8aAP3PPsp7zwWCO08WCjvPGDU7jwrBfI8UWD/PHfiBD1D3RI9xhoTPZ3PBz3vbQk94d4OPTszDz22chw9xVomPSMlJT2sSSc9B9IpPVjBLD3dFzA9bvksPdRjLT39uS89ck01PcbKPT1fCUA9qSk3PRfoJD3ROCU9a6IsPWYgKz1aQic9VSI4PZZdLT1lkSk994EyPfhoRT0A6TY9K4ciPfVYHz03uB499DIkPSxpMT1iNjc9ZB86PebSPT1FND89vos4PejuSD1UZE89xfxQPdxJSz2wH0c9TtA7PWwsMz3O9jg91ZFBPTzLOT265zk9Gxw+PQ0HSz3gZ2c9/2hdPbObVT1hRUg9R106PRhDMz2FAEk9pZ5fPWvgYz3MUVw9UNFgPYJebT2DKHM9TeFxPe0Rdz0ucnE9SgpnPXCxZT34lm89GjZdPSYcUT1hiFM9vyhiPWg7Zz3lc189UeZhPRdvYj3p/FM9+2U/PWoZJT17/ig9V2pBPUVbYD2WG3w9nfCBPe1Wdz3JR4I9rDF7PZ+SfT12NX49vrNwPT0cbj0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0nLbD3ZE3I9O+x1PUL2dj0rFH49D8+APQGScD0LMm49adx6PRoZez0IgHg91rF7PZdXhD3X2oU9/vmDPd31hD2ck4s9FRKPPYdQkT3FPIk9m52CPZzChD39P4o9OcmNPfl5mj2AL5I9UVCNPYTwjz1gcJE9awOCPXSvfD2i+oM9pk+HPTnqjD11PpY91iCNPc1Hjj17Moc9CoxzPfcbcT0i2nQ9EmCAPXQxhz1UB5Q9Xp2QPTe7jj3wm4E9DIJyPSmLgD2zJIk9q0F4PfFZdD0P63A9lfx2PSDzhT0Fb4Y9PqyKPRSoij0urHo9A8x0PfJffz25rI49iSGGPfTofT2TmW49w/t4PQHAeD16KHY9n6aEPUuOhT3GC4E9e6SJPXuriD3/iYA9PeiCPQQfiD3oKH49QwNpPY2Rdj3TIIM99jKFPSPEhz1mD4o9NeWVPbZEnz01cZI9VD+TPbGxqD0+DZs9coeTPZeXjD3jto49XVOUPQqIlj12j5k9Z+GkPZ/XnD0zoJU97E6ZPYhylz3pJJY9qTGvPVPmnz2/V5U9FRyQPQvWkj2XrI89LimLPf2plj2NCJU9tsuQPZ0NiD1Jko098XicPVsxoT1h8Z090auePUbOnD3k6aU9VEaYPRdngT1piX49TaCDPcQWhD2Os4U9PSSLPbatiD2iOY09q8aQPby2lj0yr5U99qagPdlTqj0uMLQ9X++zPSSvvT1w3rs9VV6cPcBckT2pXY89GTmNPdY7jz1pMZE9Bm6WPdqBnj1aBKE9wjydPRilnj3XN7I98SupPTbuoz1KPKU9ZeWkPYb2nj1xLKE9AYWOPRyPiD0hc449WrCYPW4Vpz2pkqo96V2iPcDipD3OLqo9skGnPenLmT0XhJY9Ip2fPdcQpT13Wp49EzibPdU+nz1ZlJk9HOOePSK/sz1Dz7s9hTqlPWaVlD0QTZI9yXSePZi+sT3nhbI9vwKuPRIurz1OOaU9b2GaPdHKnz132KM9F+ahPcsErD3njKc9J+iTPXSlhz0Vcoc963qMPV7XiT1GM4Y9fyKHPQsVhj2uI4g9jXqXPSWCmD2kk5Y9tRyQPf71kz0Mc5Q9+AafPYqfoD00saI9sLqPPb4Xgz1xoH89QfOCPUaKjj0TBJg9KtCVPR/ijj3nLYw9QQqVPXvYmT1nC5Y9YryUPXepnT3gP5492q+yPT17qz3XQZo9kjGaPRSWoD1mwKA9a/mUPVw9lT2zxac9/XmtPfmorT0ZM6893DiSPaLNlz0Pk6Q9P/CdPdmckT2PZY49opWEPQvxgz3A7oU9d52HPaTPiT0VTIo9t3aLPTPtiD1G8nk95cxlPUyAaj3Xv2099hx9PSusiz3JRp89I1ibPXAylD3uF5Q9wqaUPWpphT2X2GY9mVhtPVpkgT1DoIM9dkCLPW7vkT04s5M9PyOUPW46mj18fZs9m1CdPb41mT1OZqY9VBWvPVj+mz0aLpk959CUPXGcjz1/55M9/BKZPf1+nD2QFZs9KtePPTQ2iT3XWIs9PcGTPQdUkz3jdJQ9KvKYPRlzjz1L44c9moKHPT2Yij3NvIk9ewmFPUYEgj2eyns99ulzPdTdXz3y3mo9x5mCPXJDgD1zFoc9b/+TPeOklT3N0pY9YACXPb7vkD3U+pU9srqdPRAskT0tAo89HCiHPcfshD2UYn89r2JuPQ6kcz0PFIA9va2JPVY4lD1tOaA9s9ulPRm9lz3VQ5M9AM6MPb1wkj3RTpo91B2QPTsBjD06tpA9SE2YPUgElj34tJw95hWUPb1LeD2fCmo9yHdKPTacQj2ujko9D8w0PeoFJj3L4iw9tOU5PUfnSz0JbVE99essPdAwJD38uis9tE00PZK3MD38/DI9PxIgPXClFz0NXRY9nKAZPfNYJD1D4BM9644UPSbJCz3H8/c80/G9PNGZuTw4oL08v9S1PIjgpzwv76c8DqqnPGltxjzTH8A8IHiYPPz1kzzK9pk8FlmxPEgfojy1XZY8gwukPKAyqjzrfak8baSXPA2xpDynmtE89E+wPM9dnDwH1Zc8BUejPC1VnzwCyZg8FfagPN2JmzzzBpM8YyCfPMs8pzxrKqs87gy5PH4yxzx7S8M8za+xPMgQrDzKSbM8Bu6jPMKwnTwA5qc8U1KtPCzjrTySFpk88fmMPAw5lDyFBp08GZaqPLlvqjwv+Zg8DmKaPAY7oTxpV6k8OXCzPH3eujzhLcY8D7LJPAjyujyCD7I8Ki+iPGCnszxoucY8SQzsPDDa8jwR2BU92S0UPVpmAT00kds8k8WxPFKJrTz+V6c8nSujPNhgpzzTgqQ8csirPA9qrjycsac87M7IPCVn1zwNWdI8mMDSPCCYxDz87Lo8MELCPElDvDyP68c8GpzKPNnc0jwkcu48Zh7ePLAnyDzgW848QLzPPN1ayzwEgME8/GO5POknqTycFqk8VAmwPEfVuTyjnN88ZEAMPSAR5Dy8wdA8P47VPKihQT31xIY9CDI1Pa5DYTyB7Sk8QBw3PCjFXzyDq5Y8y1TGPEp3Fj2F8L49o/79Pf+sHj7ZYDg+5rxGPoZbLj6v1BA+UIINPinrFT6phzU+ds8nPvN5Hz4FHyM+tL8hPpK6GT6UyR8+p4IhPpuMMz7ICj8+1pY4Ph+KMT6HahA+kJ8XPrGdOD7ZiUo+IkZFPuHQIz6cYRY+lnQOPvuQHj6ycSE+E5IePiOZXT5hTTA+9awhPn2lFj5p+CE+mMMpPkYlLT4ByRg+ScMaPsFOOT7Gh1U+DjZTPoPH/j2Z6x8+f2BAPiBLEz4p0RI+WLsZPmKBKD4H7iQ+6csoPszkLz4/yTc+rIc0PiNpET7obB4+rg4qPkOpOz5nmzA+F70sPrGVNj6QrWQ+tyRnPm7GPz6Y+Ds+Qos9Pi5VPD79TTM+67MhPiO7GD6KDS8+fBg1Pku2Pj67WzM+aywkPj/XFj63HKQ9FbN+Pc3XkTxDj4I8NheIPLn9kzycyJk8cbCbPF/YqTwy8sE84mPfPHaj1zwb3t08aZvePEnJ3Dxlyd48M5DxPJcVAT3fK/w8cAD9PAnLAD1cJfY8HXr1PIW+/TwEOfY8yb71PEWI7zy+LfA8ngkBPYpyBD0X5QM9TFQEPetgBj01Zg49kl0gPfy/ID0n/QQ96zMHPXccDj1xZRM97cEfPRBSKT3d9DI9s2wxPUvNKD0dpic99NklPQ0sKD0GLjs9h6s5Pd5cLj3fXSM9PechPearEj2ehxc9I3sePY4aJz0kqhk9NO0nPSUANz01ey89au8tPWpeNj0YT0M9kZ44PaORMz3f/C89iLowPVgYOT3AEVg9qt9RPUNeOT3gFUg9YFxHPUR/Pj0L0To9bfpHPVNvWj1KPFw9ah5iPa47WT3iuT49csc5PdjrMD1ADjI9VB8zPQgcMz0jzkA9JahNPfVNRz2crC09/CoxPVsJTj1fV2Q9eOlEPV1ATD3gzFU9o2JYPYFEYj2J12s90V1kPTWWYj1ydXI9DZZuPddoVD3cRDw9H1ZGPciTOj31Sis9kfYsPS2NPz1yz0s9kDRFPdumOz0QgDg94IAzPQ35LT2rJzE91YBMPQV4Vj3Yvl49Nl1mPSuebj2sN2g9MwpdPbyeXD0Id1k9oVJUPRUaTT1VG0w9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+5ZIY9SEZ+PY59dT0u4nc96f53PYzfdT0p4XA9Wb9zPWT9aj22bnc9L6iCPbCYiT3yV4g9nnCAPcTtfD3dEoc9uZCSPY+hkD03KoQ9fuSCPTh9iT3LRYM9zsKFPSUfhD0hcYs96cyMPcs8gz1DZYE9wFB7PaiHhz3NkJY9wg+VPSdigT14FX09IXl+PbNpgz0ZT4I94SV6PW4ogj10JIA9qs90Pa4pcT2i/oE9h/+FPW+Pdj0tkHI9s/NvPWGNfD0qOIQ9iT6GPe/nhz0hd4o9+OaQPYDxiz17opE9YseDPcoJaD0hk2c9TYN0PUpLej1krm898pWHPZ0UiD0w04E91ipoPRzJXT0TQmc9wPV9PaV1fT1iY4E90omFPVWjij1OI4M9AWZ9PXqObD33x289DuduPRLXeT3ysoQ9d9WMPceEjz26VYs9vF2RPap7kD241Ys9Vh2NPTofjj3wvYs9/tmNPTdTlD218ZI92RGWPbHIlT2kB4o9qe5+PVB3iD2k4I09P66SPWsSnT1kp549qHCdPWt/mj3bI5I9scqVPZ7DkD2+EJE9IbaOPb5ZcT2sRm497LyAPffHiz2O9o895mOVPVl2jD0L9Io9W5ibPRrKnD0gQp09uByaPS2zmj2Jiog916SFPXDKhz1Do4g95myMPfjOjD2RBpI9ZCWbPacioD3iaqI9HVqiPbA6pD3rY689K/7CPRIYzj1xnME9NtCkPXIrsT2fsaU9ieyVPTADkz2D/JI9caOcPdwHmT3XwZk9knufPbAHoD0bSZ09972cPTX+kD2NzJo954GaPTuUlj0Tzp49/qKfPUitkT0qzJo9GkiWPaOTkj2fe6A9NRmTPQhvlD2qhJk9a86pPSFKrz1LwKg9rjObPcV/mD2QYZk9XgagPS3QpT1Fqas9syq1PbKmtD29wKc9ov+TPbhpij2AwJA9PtKdPcHqlz3Beo89oYONPUDCiz0I2pU91hGbPSGvmD1Sf549m1ylPbEOqT3ZEKg9c+SfPbCzjT188I09QN6TPRvylD3N7ZA950aFPdtUgj3N4Io9cdaSPS5skz19mo89w4+gPch+rD39Tac9xK+cPXTxmj3vdpI9PrKEPV1UhT3CWo49JnGTPbm1kz309Zk92KCZPVKAkT3NyJM9uuOdPWwToT3xbJs9y9CTPcaijT2ha409NZSPPVa8nz3orpM9kQGGPSWqij0CBqc9t5uuPU/EqT2xE5Y9VI+MPfr6gT3AoIs9eTCSPZOmlz0cw5899gqXPZSvjz2PsH49N3F1PRj8bj2+x4U9UWqJPeUbhz2zUYE9wSWBPZreej1RXXo9CumEPRrIiD1LfYg9mG2GPQHEhz1kr4Y9VfaIPT/lgz29g3w9jcF5PcJrdD3X9m49sgd0PZMyeD1cLIA9zQiGPb1qiT3qcIs9GiWOPc2wmD1bVZU9zPOMPVsYhj2eZY89aZCWPbC7mD1rxpg9EViYPaOimD0ttpw94lSdPeRclD2zA449JNOJPVQ+hz1RCoo9Z7+UPbDgkj3drKQ90PCnPfhcrT1Dp6A9X++RPQpXkD1kK4k9UPaGPXPrdz17p249oPt1PZoxZT0c5F09YmFnPYo/gj2kvYM9Es2JPYTBjj0l9pU9GR+YPbg3lz1/LoY9TC10PQ9Yfj3Y7YU9K16EPZeEej3en3s9pa6LPbiEiz0oX4o9iRuSPVDnoD21/pY91lWRPYBzkT30ZYk95k6GPUJdhD2pH4c9LWaFPQgfmj2mbKY9G82gPSAZnj0tD5g9l+GbPXK5kD1dYHQ94uRxPeg2Xj3tH0M9PqY7PY4yQz2Pb0k9TxBFPd8lPz3wDkg9ONg7Pd5/JD2t4SI973okPRxVKD0jPx89ttwRPR9oFD36HBg9BYIlPdHNOT0rLiM9/h8QPdGaCT0/c/Q8bWXaPPHfuTzjRLM8TbmxPA5aoDz5bac837qpPP17pjwQiq48UqG2POOvojwrnJs8x9+hPN+DqDxsyqs873e6PLwktDygY7c8B1SyPJGBnTzmlqE8kX6zPBL+rTwm+6s8t5a7PFyLujxox688JcCpPLTurzyfv7I8Lm6qPD9opDzeT6I8tKarPCyLuDx2ktI8PUzbPNkbyTzdk8A81PK9PLnWpTyU8qM8+iunPL37oTzvaJ08SymrPAAzsDyIxbQ8+O7CPC7EwTxu/KQ899maPKiqqzzrIbo8BhSyPOJWtzwKtcE8HFfMPJ7Wxjxf5MI8J7jGPHK5xDw/ts88vaPMPJfB3Tw4Nes8jX8IPWVx/jxXbMk8N1uxPFxOmzzgnZc8FM2fPEbFrjzIUaI8zw2qPIUkrjww76w8RB3GPETE1TxzqdQ83wrOPG2VwjzFZr883sa+PITIwjzC49w8dp7rPMqT5jwtMeI8mwfXPGb8xzzBgMY8m2m/PDoXzDzwztE8tBPAPBXksjxeQaQ8U3OgPBzIwTyKaNU8n71IPbKCwj3flu09hw8GPiUxIj4tfy4+f+UqPvykvT3Lcb48nU9FPLS2hjy7cJY82dMmPVn+hT2c/8c9zssIPtwrMj5bTT0+ooA2PoGUMD7bjyU+hlssPtfOOT77cTs+zjY0PsjhOj6R3zE+SUIfPojuIj6/KyU+XZcfPpzhGT6SYCM+Ix9HPur2OD40Ty0+MoUMPlR2Ij7nrTU+IJEzPkABIT7+Oh0+qDYkPqxSGT4vfhI+Rz84PutGPT4coDo+nhE1Pg+cFD483SM+XbxVPhFUWj7lWGI+acotPvjANj7A3kk+CFE+Pm8DKD5dCQY++nYuPtltSD4uEiU+5U4RPh5/Ij7VGzA+WVc4Pp2RKz4tOS0+85s9PtntKj64vxc+l6gLPgifGz5JVSQ+734mPgpEIj72JiI+njc3Pnl5Pj4O5z0+yohKPkdSLT7SnSY+W985Pi0KQD6I70o+5ZpiPr6kNT6j5RM+TO+lPVF0Hj2QI/087P+hPIjSkjxBP4Y80IuKPBcvlzwRj6U8jbizPK1StjxYXr48MCbLPONQ0DxKqdk8tIvuPGUc8Dy/Hu08hBzpPEwW8zw3we88DTrsPGGh7jyOgv88FI8MPfnaCj0JBfk8+pP7PHUO+zwPgvk8r2YAPZv0Bz0q9gU9Wx4KPTQKCz0zshA9N30ZPf9AGz27zQ09zDYQPZ9PET0VZRc9LZYdPT5OIT2McRg9fEoZPdhSGT33cRg9v8oYPYDHGj0IcBc9rs4PPSdOET1+kQ89VkILPfUxGz2MfSE9Q6MnPUkmLD0WPSw9mLIhPdAGKz2Z5TA9YuYtPbhCLT2CVTU9rzM8PQtHPz2Soz09RCg6PSJgQj2NREI9mrpTPXZMSD0VLjA9HQs1PZ5YPD1IMUQ9QKk5PdLVQj05E0891K5EPa7cPz3DTj89VsxFPfufQT2XWUI9DNpBPd9nQj2keD09iro6PY8sPj03Vjk9Rkc6PUi2Qj3+lU49ok5VPerxUz0ziFE9dt5SPekkVz3j2E89Ll1iPajOUj1KW0g9/TdLPbTARz3ZLT09r1goPUTQKD1JkCg9kKorPdx4LT0rujo9erVdPU0iXD29BU49C95RPbT5Sz1Hgjs9QX89PROmUz1lt1E9O4BEPXjbUj1UJFY9xBpFPQVMUD2SpGc9Oyl0PZ5+cj3a7Gs9Y7tqPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/nPl0PaVPgD2IMnk96KxnPRHQaD0h6mw9DRd1PZVscz1q1YE9ThiQPYLojT1NJYY9ipuBPWz0fT3ndY8947SOPetNiz3kzIc9AOiKPdRtiD3OPIY9N/yFPb3fhT2c2Yg9cHiQPW4IjT2q64E98pl3PaRKdT2ZKIA9lLuLPRY9jT2LPmM93dJvPXUsez2SuIQ9LBl/Pb8ZgT1TZoA9zFR9PedbgT2v54I9YvCHPVFDhT11FIw9kbiLPbHKiz1WsIM99xhsPe/7Yz3mlnc9NviDPUeWfD099Gg90VBhPSdqbz1K0HM9kkR1PXBGgD2zB4M9DeB4Pf7Saz2XsGY9eMxoPSJDcT0c6oE90K2EPcBKcj12qIA9UOeIPblaiD2oQWs9tndRPTBAZT1p43490/mNPTuMjT0lHHk9JN10PeLUiD3q76U9RTiuPfzfmD3BDZ89FUKZPUAzjj1Wi5A9iVKVPXkNmT05mJk9WjaOPdTahT0ikYE9HpaAPbZPiT0eZ5U9e8GQPaCLij2S+Y49j6uSPRWUmD02lJw9ijqcPc5slj2mKY89jYmQPXQLhz1riIk9KlGbPbwSsj3uybY9Gy67PXCfpD0LhKU9ijahPTpElz1KNpY9IlKWPe/ekD1fFIg9o5uZPVHmoz2hU5Q9rh6NPUz2jT16CqE9kHmtPSmJpz1ozak9E4qwPWTcrj1BcKY9zKa0PZP8xT1Purw9MOCrPWTZrD1olqk95D6hPeA7oT1mPJs9/+uUPVWYnD3LmqA9lfKfPdCwoj33cp89jNmqPR00qz3xLak91dWxPWAsuj31o6896K2lPQk0nD3lqJg9QS+WPY3Fjz1mb489tGGTPbvclz2JA6U9QJ22PTrJuj0I/rg9/kauPY9Anj0+65E9GG+SPV0Inz2hZqQ91QWoPU7/qz2Ml609IHWqPfBbqj37+Kk9wG2jPVgzoz37Aak9wL2mPfnSoz018qM9UvCfPSVbnT0J36k96zGnPVbsrD3ay7E9o2CePTMdlj2s1pk9zcaSPZ0mjD0N5Ik9NYqBPUL8hT0h3Ik9zUGLPWjHkz3+9ZU9HESgPdhBoj1WaZ49FM6bPdGHlD2C2JE9L4OPPSJ1kz21O5Q9qUKQPUVYij1qk4g9KL2JPa8TjT3kXIY9+Z6JPfxOpT1cqKs9SrmqPQF4nT1bzoY95t2IPTqvkz0AlpQ9Yg2IPZBJhj1hPJc9m+eaPXQZlz0q2pQ93ZmEPbJQez3iEXE9Ul55PZvwiz0DnY89Gg+VPSjuij04Pow9ya+NPXVniT1LJ409XvagPcTelz2PdIc9+y16Pb+deD26NHg90sh0PWJ6eD3A1Yw9OKKSPQ/fhj1aGIU9kIiAPVyvgT2SC4w9E5iNPSxMjT27A409WeiHPQ7XhT1UdYc9nJqKPRVRij1cL409/+SZPUTkoT2g+KI9hcGjPc//jz28C5I9mvaWPQCkjT1Du4M9DO+EPcQ1hj23vIY9Xo2LPY5dij0OeIo90YuNPeU6kz0Kt5Q9Wb+UPd26lD3oCpk9c3iaPfZQmz0ne5w9U3+YPXZSiz2+BYE92B94Paragj1uxoA9UTqAPd6xhj3DW3E9DXZUPY2aVj1LUFw9nFBuPXJ0hj1kA4M914p/PXG4gj2EmIQ95KODPUMxjj2c3pE9Pk2LPSKNgz2HyH897H18PaH5iT1z4Y09BN2GPYHFhz2x95A9qy+aPVMAjj08bZA9thqPPS3vij15hIo9l8+FPaRljD2uSpI9NcyVPQ1GkD0Wo4k9go9/PYdqYj3aP0w96SRKPeC0SD218EI9PMtFPYQPPz01u0c9NmRIPYpLQz00ejs9Tz88PXVLMj1T2xk9mtEUPYJdDj1amBM9F7EkPTJBIz3LgSI9QKImPVkUIj3rdSA9Xc4UPSGW8TyxVdM8XqPIPEDtwjwSurY8UoqzPB5vtzyZj6o8qHesPL2qojxaHaM8HginPKBwqDxvHZ089NydPD+xmzwdIK88jrCsPI01tzy1/Ks8YKCpPMmypzyaQKA88nqePB/4mjw1rpY8O5+UPE+gmjxwnqs8r+GsPNkXtzwrMcc8cLPUPMgl7Dw4RNc8UBXBPHrmyTwegM08iv7HPJvhxzzBssA82djHPKxmxTwE0qc8bSijPPmqoTwJpKY8s6qnPGK2qTz2GrU8b0DFPG65zDxV67c8F++jPKxEuzx4ydY8sgzTPPaHyDwStrs8TqzJPKBDzTyh5cI8O0nFPLEr1zwqv+k8dcbhPC/r4zx0avE8yR3yPPS87Tx3cMM8x/SmPFzynTwAn6E8iMqdPDcNmTzcMKc8eqy0PDBbxDy9c8k8K2fNPK/2zjwGEdA8RSzQPDZdzDwckcw855HMPNYkxzwGKNc8RKPrPBH24jyx0NE8cR/IPFDOwTxiHro8fSKyPFbSszyTt7M8UbmzPIPSpDzxtaY8JS62PG+/yDx6Jwo9u1cbPahOHD4aEoU+JUFXPhnLLT7smSA+WJIiPvw7HD55Yfk9oiatPX89rz2S98c9bADOPfGNrD1tNK09s8nGPWsHFD7fYz8+kuFFPtt7Jj6HmzA+KHIuPru3MT7CgzU+4AU3PjXYSj6RXDw+8hspPjt/Hz7QEyI+tegkPqeGLD795Bo+rWIiPg4vWz4HL0U+sbg1PkBxFT40lR0+BXYtPphrLT5LhiU+/UwlPj9qMz6yYBg+L5MQPvo/OT49Ijc+pVU1PsLBOj4lASk+1D0KPo2X9j2j2ww+kU0UPpW8Lz5kuT4+S6hMPjqFOz4C/RU+p+QRPhQWFD6wqRk+8ZoePrhzED6K5yk+azUxPk78Pz52dT8+a2NCPrA0OT6DXBs+BV0cPmP1Kj6Ubig+hgkkPgwMKz5smj0+tT9CPhqFTT5thUg+Rs89PgCDOj4J3iM+HVIjPsGWIT6T+xk+9bEAPhM8uT1/Ojs9XT0XPQdMgDzkKYg884mMPABihjxkXZM86XiZPKqRsDzuw8E8ZfjIPFpZ1jzLO9c8JWrcPM3H6DxeNuw8tqLrPFot+jy1DAA9X3L9PM24+zxzmwE95Gj7PBhNAT3RRgQ9P8QFPXkKBT2C2PY8Ne3yPBxSAz3jPfk8OI/7PJpI9zw3hvw89SoGPQHCAz0Zrf484OH/PPpGCT05pAw9huMBPXY+CT1dbQs9q5MNPdePET17HRI9Q38NPfDAET2wUg09DqoHPdy4Aj3Ktws9HWcePRq6Kz1IQC090novPSGlKj2AvCI9pZYjPbhZLD2KIC09f0MfPX07ID2Jay499s8yPZWgNj2TDDc9et8xPY0/Kj1NvCk9WWIoPTKBIT2zSi89HDo/PehSSD2GYD09eBs1PRt5Nj3PPTg93dc+PXIAQz1FTDA9bJokPV9CLT1vPDk9xqdEPVjlNj04FSs9YyYxPTMxRT2E8U49xt5OPZ/wNT2+aSo9trMuPbwqNT3IVDc9tFE4PXKjPz1Jz089eSZLPWgMTD3UZF09BUhVPX4xRz3wskE91xhDPaOmRj1ok0U9O9o1PX8DKj0SaCw9aBYaPcAVDj35Vhc9H6I2Pf9LUD0bhEo9CodBPShlSj0MOkg9J1I4PRN+Nj2XO0U9c6tHPWcRPz3k0lM9lhFvPXx4YD2vNVc9XT1HPf1iSD1g5jY946Q2PVFDOD0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8YNhz3zwIo9lKB5PQKmbD3gs3Q9E41+Pddwgj2fVYg9sHiIPR8MhT18uoQ9o3GDPY6Ofj0PyoI9DhGYPRx6oD3L7pU9BkKKPQB5kD2xWYY9adiPPW9tmT1Ju5M9gnqLPbp7hD38lo491TODPepFbT1+pHk9ciyQPb63ij3/LIQ9/dV7Pec4jj2CqpU9g8CWPdjdjD23YIE9rdOGPTRckD1dqpA9W+OQPVegkz0PUIg98rB+PYW2cD2hyW89eFRvPS0tZT2mkmU90XhtPUOXaD1+5lk9oM9TPXUNYD0TJms9HCVvPUUYdj1lYH89wl2HPY7+fD0yDGE9QLl3PYLhgT2qHIE9wWKJPY/Iij0nVXY9qdhiPQltaT1S11w9+DlTPcyLZD1zAno9YYyJPeXtjT2Yt4g9JI1xPS3hiD3V2Zo92fSlPaHhrz0U1ak9AgKYPbXDiz0v0pA9XqOVPXwilT0ReZY9wnSTPXA2ij3S44U9phWGPRKahD35uIM90eOKPb2hiT3ANJg91lmYPTE0kz0uwpY9diSZPY+jmD2nl5Q9U6eNPTyXjz1uGZM9UBarPU65rj3jc689sVutPR2EpT3+n6M9t7+jPdesrj1Oi5g934SOPb2ckT22LKA95/CcPd7Lnj1lOaQ9+R+fPRlonz132aA9Mk+ePW82mj1RLKE9WlOvPa90rz3OfbA9n76rPeFKsj0Utas9Sa2ePbrBmj2sn7Y93Pq4PZKiqz2Bva09aZqsPYO9qT3TOqg9GSmrPavBnj0Yr5g9tSmWPdlAlD3zWJs9EkemPV7wmj0KKJM9BHKCPTeWeD3gMYU9/BmMPZA7jz0obZI9QK2OPUDJkT3gj5c91pSnPa3crD0pwao9FQ6tPY/trD1tN6Q9Ra2ePbJomD3Tf5o963unPfGAqj3Sv6o9owecPee3mj2ul6A9LK+xPQJhtT06xak9lbehPc6dnT1JaJc9k8KbPU4JoT1nDKA9SJCaPfYHlT1Us5c92qekPXBupD2+bpg9RhWbPaJikT25QYk9PgiHPZLIhD3v/oE9IxWOPdPImD0jRZ49JnGZPdawmT2gV5c9PWScPSDooD38BKc94zCvPaOUrz3A8qk96TSdPSkokD2wnJM9n0WcPWeWnD1GgI4921WIPfXopT2FI7Y9OA+5PXlttD2TEZw9D5eGPX4xgD28ToI9S+ePPWHyjj1Q8Iw9xUSMPRy2iz0pt4I9LZN8PWw3fD1hHoY9CXqIPTyXgT08BIg9/DCMPbnnmz12TKI9TlybPSDikT11TpM90aGQPSVljz0x3oM9klx1PXhibD1EEIM96KmDPSFWgD1kRYc9oBGYPTcRmD2j55A9jWeMPRZNiD3fm4o91tmJPYfcgT1N8oQ9OJ6MPep1kj07z5M9bLGTPXVRmT0lnJg9ukeZPckioj02xqc9Kg6mPSCkmz3n3JQ9DjKRPTPthz01Gn490vZ4PSqjhz0AppM9xy6YPTJmnD1rEpQ9ceCNPU7vlj3Cr549WeufPUQimj2+wZE9dm+QPc5yiD2BgoI9HHmDPe5dhj2N/JE95P+VPXYVij13OYo9ZYiIPZR+eT0MgnA9BD9qPeXQYz1JH2k90TNxPefDhD0SFIE9dECDPSx1hj07/I09R0OPPdeWiT3w34495CmUPSLnij36k4Y9MpOCPWmyeT1qBXA9N22GPQmPiz0nUYg9G2eJPTGWmD1zIpU9BPiJPY0weD3zSmI9DcxsPQ+4cj1xVnI92fd6PaGhgT1PnH09WCFqPdOpTj0QK0A97j8vPcRzLD2Saiw9Ce02PUucQj1fIUE98HlJPTX/UT2xgUU9FdU2PeeULT3wMiU9xZgZPdIyGT185RY9+lMUPVf4ET1IfAo9jVQTPdF2Hz33cRY9YGkVPUTHHj3tUhA9ZTjnPPTO0zwCXc886FXBPFR6rjxWb7Q8IuKvPLrPqzxXvaY86m2mPKlrozz83pw8Nm2RPOS4kjzDQZI8PxKUPPRDlzxXXqo8/vvEPF5xqzwzmak8a9ajPAXCpzwPiaI8PSqoPBkKtzy4nr48IBzOPMWL0jyqQco8L7fOPC+C2Tw9rOA8BOnoPAuf4TzSsNM8P1vKPAECxTyjfL48e3LEPFRQ1DyKwrQ88KCwPB9ctTzGHbA8TFSwPAbCtTykMbY8EkC5PGQsrjxDt6c8xxyzPMSIrjyaDaA8gxyuPJFZvTylHMA85N7RPB615jwn/s48HAzOPHau2TzBTNo8YrnWPLAP0DyZWdQ8LJ/FPOCGvTw2XLk8Mji7PBLZqjyOb6c86f2mPLb6oTxUg6M875+0PFFt0Dz5TMw8AFq5PMxNrjztIa08OAG+PEwLyDx9dc48C/TOPGy+0jzsJ9I86BLuPIuJ6jzrCMs8rcu9PCqcujw6zrI8iNKxPKcZsjzy26U8eIahPIP1mzxw7Zw8IAuyPJaI4zwHbBs9pQ6rPSjd7D292kI+QxhfPq+PQD4aLTQ+gXErPophKj76Iyg+7oMfPncrKD5x0Co+rfgwPj2QND40HBI+Vs7fPW/zuz110uI9jTn2PddX+T0S8vk9mtAEPttBEj73ayM+lbAqPiOoLj4uVSw+BBcwPkFoNj6pZDE+GXUxPtvmMD4yxTM+FisjPqcAKT6L504+6jM2Pq66Kj5I+R0+b6MgPqxDKj6YRCA+nJ4WPmaPFT79KB0+fKsjPm4gJz710y0+8KIsPhmHLD7PN0s+OyWCPlrnNz4wTgw+9zAYPpFgHD55xSk+UnkzPnIkRD79ESw+v9gRPrOLCz5vlgA+52kXPiFAGz4upCE+K18yPs2INj5GTz8+Zg0/PrcKTT63yjY+8WwvPpCLLz7Hdio+tHwjPjqZJj6L0ys+iuZdPltNXT4ZGkE+fcMbPhxbCD4kedk93HanPVMOlz2HO0o9pN4gPcxi2jw2zpo8AJ6ZPEHdmDxbops89rWlPNWJqTzx9bU8nEXDPP+uxTyk2s48GFbZPFZY8jxjqu88q2/nPFYT6zxrFPY81vX1PJmI9DzDg/k8x3oHPf96Bj3GVAA9jqP9PPUHAj3VgwI9DN/2PNkr/zxznQI9JWf1PDrH7zxsSxM9nMUWPQx2Ej3h4AQ9rB0CPYbqAj20aAU9q0QHPS+JCz0eoxA9mWILPQ7qBj2uEA89c88NPWPqDj3BUxE9YoMaPXCQGz1q7Ro9jLwfPbcSHj2NthQ9TKoaPWHfID2/yyw9oyo3Pc3ROD0RtDY9s8QsPadHLT3KmSU9vKIkPXVTID21MSk9iqI5PYnhMz3QVS09pOkmPVN4JT2oyCY9JIcnPRzNHj3aOx89RsorPdBDQD3BdUo9Cuw3PQ4kMz2enjg9RDY2PdftLT3WHSk9O4YnPexkKj3iKCM9q+UePSeSJz1ReS49sBIWPbzzJj211lk9Q25wPRkacD1CPEY9jiU1PZ7rNj23/jU9wmU6PbmENz3JTTc9q9JFPfWzQj0RjUE9nIRJPT5iQT2sWkU98vE/PVCiPD3p4zo9RUU1PaNINz2ttTk9UB8xPVhNMT0B3zQ90GI5PTVWPD2CsTY9jPguPV51Lj3j/ik9/h4kPTVtHD2FRC89jpxEPXiYTz0HLlA9PShUPXceZz0WUl89Uh1HPXi3OD1fXkA9uEY/PWlHRT1ByEY9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+qS4A9umaAPVoddz36OnI9awKEPaEYiD2neYc9YVh8PWiBgj0bU4I9aMaAPeEKdj20WGU91DB2Pac0gD1MdYE9jeF0PXQfgT2y3pQ9G16aPQkBnT19wJM9nAmLPQf9hT1l9H09lGtuPdu1cz3W3oM9tg6LPVBGiT3NdXQ9OQJtPXYijD1nyp09namePXO9kz2/mIM9YjN/Pdm/kT15PJk9ALaVPbMslT3QmZY9I5V/PQdxbT1Ipmw9hWtvPSp7bD1Qgms9YTh6PYHacT3cv2s98j5pPTdhbj0Hy2g9eVNpPctldz0Uc349X5J4PVUidD1Bk209Y99yPZ2IgD2FVIQ9tBqIPbkEhj35IYQ9yxFYPfA4Qz3wX049dstaPUHUZT22SX09fveDPaiIhT2Jjog90LmFPX4dgz09TpM9mvypPZQ3rz3JGKg9BIegPXbdjT0sAIA9MjuBPVH5hj0OqpE9q6mVPbhZkT146Ic9Hcx5PROzgD2VOo89zdeQPUHIlD092JI9KkeSPT5xij2mhYo9sA6QPYRpmz335I09/4CQPeDJnD2x+5U9Tp6SPdwxnz37X5E9Y1SWPU8ukz254pI9pE+ZPV2pmj1W2pM9tHOMPckYjz2X+JY9slycPXoQpD0tRaI9QueoPR9spD12V6M9wXihPfd3nz1JVKU98pmwPcxTsD3Tt6Q9jGOgPcnTlj2Z7ZQ9ZKyWPYVUnT2RZZ8924uoPeymsT2YBKg91SekPSbDnz0HfJ09t9qQPZ36kD1Dopk9fM+bPRQ+kz08YpA9oA6RPYi1hD2T53s9mGSKPSrajj3+Z4892miOPYSakz36SZg905KLPTfjgj1JhYU9qySnPZ72xj2XwqQ9VLKbPXvgnj2mnaA9w1eePdKEpz1pd6s9Y32fPSfjpT0SfKc9ADyePagqoT0ZkKA9GsScPTUYmz16Kpw9jy2YPcqwoD1/NKE9oaidPe5Qnj1I4Z893mSXPfx7oD1W6qo9C+ChPRhZrD16LrM9ZVqxPWewoj2Y45A9fOWOPfBVmj272ps9f1SWPeAplz0yv5o9gFWjPTkqqT2SQKk9m0SlPV3+oD25lJ49mxKgPXHJpD35b6c9RpS1PUFGtj0hP6s9j9uoPQG/nT1yoZ09tumePQAbnD0xGqQ9tTehPS5Fkz0GvY498G+EPTigiD3e+IY9JvyAPXmmjT2fdI89w1KPPUdNiT1nQYs9sT6FPfZYfj36xoE9oeyOPYk3lz3JbpM9xM6NPcKUkT0pJZM9h7ybPcIamz2H94w9hLGGPURNgz0hFoE9M6qAPf69hz0piYY9bVSKPfGUlz38qpo9um+gPa1KmT1RFZo9ft+kPSKtmz1Lf5Q9J26FPUoHgT28qn89gnmWPRnOqj1Qtas9kbCjPe6xkz3+IZc93v+bPWKBmj1dfpI94/WIPTeGiz3nJpk9FheXPXOdlj1ME5Y9PRWUPS9RkT3vEpI9YUiSPSBVlD0yZZM9mcOPPQ/Tij3UnYs9GpWJPcgUjj3684o9s9WFPWoBij3vR5M9M0iXPVWloj2YK6A9omyVPZuclz1/oo09iGJ9PbcicD3C9WQ9u5pmPTLybj0D34M90J6JPaIZkT10T489+6iFPTGtij2/KYs9HjmOPUtckD3jFY49PuGLPWFMgz2B22k9hqB7PZWAfD31hH09FER4Pb0phD2cmpA96VuQPd8PiD39vok92xaGPeLAgT2id3094I1sPV4Xdz3wXoA9KbBxPc+dZT2/QG096Vd0PYx9Yz0Wqjs9qiMtPTEyJz1Y0SI9/KczPWJEST05VWA9c3hcPSCbWz1XqFY94/JBPe9DKD18Nxg9K3oRPW7LGD05XBs9CXoRPajMFz2yCBg9mYAMPUq4ET2hrxM9pPIWPcd0GT1fyhM9v18ZPaF89jzopco8rBPLPBpvxzyB97E8VyepPAZVpjzGyaw81GqnPN3fnjz9No885gKbPF6mlDzG4pE8gk+PPLgPiTx4h6M8J3CuPMcVqjwNsK08U6moPOREqTxZ3rc82we1PAy4wTz7sbw8+vG/PNJzxzwActA8nbvRPIeY5zwy2OQ8+KbhPHAH5jxp9dw8xbHIPMmjxDzTL8I8LdG7PFTwwTwpX8o8SN/SPPi53zy95M088zPCPNpWyDzou808Pa7IPPvevDwoz7U8VC63PE6IpzxvVZ48/TqdPItRrjyA1MY8lRrWPA3N9jxqZ+w89zjhPAd91Dx5Tcc8EHjGPAuB0TzsDc488HK5PEtSsTwPua48ST2sPELWrTzKOaw8S7O0PPkkvTxabbU8YsizPBYUxzzvWso8wTXGPKHGxjx/Vc08Ai7PPP/azzw4htM8gorMPMs2zzzxNNk8LDrlPNXa2DzKLss82728PDEutTxKabM8qj+0PLS2uDzLibA8qLabPE/WoDyU2sU8WknSPHyzCz2ZoWg9O3CpPXHdBz6/ACU+Ps0pPl35Oz741jo+3/kqPkzeFz7m0xQ+ph8WPotZKD4QFC0+y9AgPlefLz745DI+V/kvPjuOIT7f2B0+SHIZPjlLIz7eYSE+XaEbPgp0+z06p949qIzZPd3t2z1fs+E9D5TkPXBxAT4/ZRg+zZUYPoQvIz79gy8+KogxPpAJMT6BWSY+5iEyPhHOMj4fxyw+GE8nPgW0Iz56liM+QIkWPnPB8j2Nxv498g8OPg99OD4IIz4+SWs0PkerCT7NmCM+C7w5PjdjYz7m9D8+xiEXPuxQ/j34RgU+DY8LPpoLED7ikhg+6NQtPvdeNz5GGEM+0MA2Pk3BKD4b4C8++IA4PpkPMj7bAzU+cAowPigVOT4XxE4+BCozPpy9JT7QCBM+xT7ePbcpuj3MVcA9q3bIPbLy1j2IC8s923axPb7qqz06Akw9nvPhPE8EnDziVp08+7aiPBVQrDyu2KM8ncCnPCkKuTxGP7k80lq5PBmawjyWBc48GS7KPM2n1TzsVNs8h/DyPEoMAj1Zg/s8573uPGAP9DzCDvM81Gv2PGme6jyoIOE8F7wLPeVGDD0EoQU9Y/r6PGsZCj2d7Q49IugIPU6d/DxgewU9VukRPS5zFD0fcA09rtQTPbI9GD1yIBU9XWoSPXQjFD3WbRo9PHkpPac+JT3z5iU9w/QbPd+EEz0iGhM9VlEbPRNFID0M0h898qYcPbFoGj34NR49eosbPTE+JD1K/yA9heIYPZt4GD36qiI9Jx41PSynQj004Tw9i+03PadhLT0yPTM9oZ81PdR0OD08qzk9QbI+PcE8Qj1UgEY9hLc9PSreLz2TeCw9jUMtPTOkMj07pig9ansgPRzvHT38qSA9aLAfPQG9GT2Diio9Pw4+PZSARD2OpTk9gh81Pfa4Nz2zfDA93yc0Pe9YPT2QTzY98a4nPY5kFz0VQiE9zt00PfHxNz2ArDc9egc3PVpfLj2pKDI9n3czPaabPT018Dc9Ld4wPTJPPj3b30g9F59BPbHoPj20oTs97N49PRD5Pj1+0DQ91TI3PcCxND19iDE9Cu89PR1FPT2aJjk9kWo9PSsbOj3IojY9R28xPRALKD2Fki099JQvPfEsND0GJzY9DUYnPUVDJj1t+Tg9RfdLPRe6VT1X/ks9GZ5MPdbYRz0PU0U90uJIPfQSSD2UqTo9teY3PQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/CSByPaVieD1Mbok9xZyQPcyygj1MEoc9ukqEPch9dj1M9Xc9HJt8PXn7fz0yj3w99UZ6PTKidD3m13k9Kj+KPXgXjD3kO5M9x7mmPXKklj3CQHw9i9B8PUwVgD36lHY9E41kPUIfaT0gKXY98/J9PYgjhj25K4U9reWCPdjEdT2EXX49rE96PR1IgD2Mbog95K2JPYKjjz1KIp89wc2ZPVC2jz2fnIY9BL1zPeQqZD3K8mI9cXx9PfPiiD3Guog93beGPRQGcz19j1U9eABjPWUwdT3C+nc9X5iAPYLIcj3jhmo9as9ePYNwYj0yGGo9gdV3PbLsfj3R0pk9fo2IPQ2LfT1aj2M9/rVUPU32XD1M/mI9y49sPbsHdj0HLoM9uDOFPckNjj0BI409cJCHPa9khj0Vr4k9OJ6PPWPzlD3Fy5Q9Bh2QPVlrjD2kNJE9h5aRPYxnmD08DJE92SGPPX2Wjj3Vv4U9YDCRPSfXkz19Mp49ZfSsPXStqT1B06M9snSgPZu1lD07gZE9MnSKPdjRhj19woc92n+KPd+2kT2pTJQ9WMeJPXPvhT1Rf5I9wZeBPbvthz3eko4976yOPRnsjD3QYYk9jcSQPZ2blz0U/ps9DsejPePVpD33OJo9+XqbPWRsmj1s8pM9zMGZPScvmz1CrZg9Op+kPc4lnz3nypg9T+WZPW5hnD0CI5o9VrSpPWgpqz2GrKY9NXqlPZZhpj2t9qQ9w1CcPQMGoj1rp589MiuXPUxhlT0e85w9x6+ZPRrdmT0zFZA9GE2KPU9QiT0hlow9OuKWPVhnnT3ZLpY9bDCfPQm2oj02Jac9leOlPW9bmD3nCY4933mWPQXNmD2dUZg9KBGOPV5tmT1Gk6k9J0ytPfLrrT0RSq89Su6qPboZmj2ZSI8964+TPRuslz1CAqc9yY6gPagKmT1AsZk99l2gPf5Rnz2vS5Q97x2IPaUCjD3VvJc9XbKoPTzQqT3M5qs9X2C0PfAHsD3RvKY9QH2lPVEJpz0dmKA9KIahPYgWoj3rE6Y91NCmPZzenz18WpQ95lyMPdbXlT25nKo96g+mPczunj2IHpo9gyqePYQXmj1Riq49ICbJPUylzT2dLcU9laa0PT5Jpj3J6Z09AB6SPQQskj2A4JE9o42PPejukT0rT4893gKPPcbClD2qAZo9FJqMPTjokD0HDZE9OyiPPRNujD03QYM954uFPZXtkz2/jpA9hJ2JPbeTjT0AfJ49oFmePTUnnj3/srM9UZWtPVRonj2QApQ9LFaGPSmeiT1yVIU9NvuCPVEJgj16/Yo96PqcPXJhoT1q0549BW6fPWthoT1KaZY96LyLPdvukz02Zp89/iiYPaiakT0pTpE9wymMPa/imz3jJpc9yIGaPezSnD22M5k9u7iMPS0Kdj1kzH09wsWDPUUQkD3dtqQ9u0KsParipT3/J6Q9qTGhPSQymz1YPZY9mguKPTaViz3sto49KMeNPTeOiT226II9fUSBPQGxjD1z44w9xBKQPQJrlj2irqI9t5unPdZEkD3xno89A8OQPQ6LiD1S+YI9k9mIPTgqeD0c9Wk9ZlBpPdB3cT3k+YQ9QgGcPXYenz1J3ZU9oSGTPZXHjT1JsI0935qIPa+qjD0Wx5M9/l+OPeSLfz23/XA9V315PfVEjD28+Yw9zECKPS8BhT3G4Yc9NImXPSHOkT1vQ4498t6UPdnojD31UZE9PzmOPfVhez1O7W89fRluPULFcT2g7Gg9/8xRPZ31Sj0XtEA9XsA9Paq+MT3WQzY9+Ug8PVMLUj39wFo9Nc1WPaanSj3JJUY9lbxIPZvyKT1LkRk9m6YcPX3ZIT0YYyQ96L0XPfzCEz0VXBU9z9UUPU1jDz1rZws9KhstPZtdMz1QGCQ96iEhPUutAz1nquQ8XY6/PGb6tTwTEbQ8O22nPPiUpDylQas8UE2tPL4KsDzHwK88TvGtPE8CojzC5qk8wAWjPEqanTx2Jpg8tXioPAM4rjxSJrA8+0vEPC3WxTxWGbk82D6vPA0btzxfrcU8TMXMPE05yDyobcY8lNzFPPvlyzzsF9Q8NenOPDT10TyI1s48Jka8PNHq0DyXRNo8PO3WPNp53Tzt8eU861LbPNm33TxS/dk8vcvJPHhUyTxXccw8Y3/NPGMbzTxHosg8SnTIPO6HtTxLRKQ80qarPNK0rzzGVKw8ttHBPKLf0Dw+2uQ87nLHPGCavTzrMr88bunAPNe1wDzRC8Y8DWbRPP2csTxeHbI8EoK4PNxHtjxAkbM8YmXEPCZFxjyLvbY8sXi4PPrcvjxjgsk8LevPPNgW3zx/pug8sWPdPJ2r3Tz8DO48y1nhPCU05zzGnOk8qtbjPJ8Y4Dxt18c8T8fEPMiesDzs3aU8/M+kPMxDozweppE8n3eTPA9dmTwP5rk8WZlvPTetlD1pcRg+y2s2PsW3Oj7oCzY+ezwqPuhNKT62Syc+iY4dPgeQJD61TCk+uv8kPmDsIz4ZSSQ+9oooPn4pKz41DSk+cT8rPg4EKz6Uvyk+XiUnPh6bJT6cAzc+DKYxPsAQMT7GXjQ+niMnPjoxHj7fMQo+95L8PfI4AD4cQQ8+nOwMPonk8j0DF949OVQMPnvHGD61oDk+wXI1PtAMRz5tGE0+bxg7Pg5RNT6+BCY+vxcmPvlWID7t+Rs+TWwhPg8tJT5na0o+YSiPPozFcj4g8yU+LKUvPjGaMD4GZC8+H5UzPv2ZED7m7eU9u8L4Pe6TAD6ckBQ+foAtPnLmOz5btVE+nOZHPp8MPz6rzjA+8Lw/PjTJOT56hyc+d+w4PpWVMz6lkSk+4A4uPgYaED5NPpw989LEPG0crDyQMog8O4aRPK1Rojxeqqo88JCtPHWQqTwfuqE8kaSnPPAfqjzEK6U8QUCwPHaCtDzTYLk87lO2PMo0uDz478g8abzCPEOfwjxGp8Q8+v3KPH9T0DxM6dg8uQfyPNSr8zzfAPY8pm/2PN3X6TxUFu48+WvwPP6H9Dw8YPk82J30PKd6/zwFS+U8poTtPPxNAz3efyM9bJgqPUvvHT2oJhc9HlMbPRWwID2w6xo9J00SPU6KGD2vDRA97xsMPaJKET0tNBw9cT8dPRiOHj0yjSI9f9omPS4qIT2/JRk9lHcPPUiTDT3zTiE95bclPeEfKD2yJi09cVklPa99Jj3Owis92j8lPaZUIz3lzjA9lR0nPaIBLz0Iozc9gxIvPQjYJD03+xk9awcePcNAKj3zcjA9AVYzPVCDOT2ouj49MHg0PbKPLD1uzSg93MQqPR6OOj1RtDI9hcsfPZQ0Cz2Dkfc8koL/PB8qEj1jgys9v9QzPbWFPj1gV009HN9IPSPXRD3kPjs9sSoiPTt/Mz0Wckc9Xa85PddQID2RsAg9RHcXPc+GLT0H4ic9ogMkPc0XIz27kSM9kLonPdN5Oz2xd0c9YQVDPcMsQz1GnEc9D2A7PULZOD0NsTs9P209PTbrOT2vukM9pkM1PRa8LD33RS09zRs5PXA1Sz1Cz089ux48PapdOD0Jezw9xkg8Pe8iNz1c2zE9Rh4tPd93Mj2KHjY99AgwPf0VPD3IBUk9lXdMPUZjRz2z6ko9hvZHPTaTST05QF49MmNQPUBnMD1wvig9SJYfPamzHT0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+97hj1AQYc9cf6PPR+Nkz3UaYk9GLKFPadoij3EE4g9jIKAPWCHez3WnXA9T8t0PX2NgD0RcZM9vn6ZPXphmD0wjo0983iHPbEYhT1pTGk9uFd5PWvLiD0thZA9XHSVPW3XjD1ryX09BdGBPbZQhz1SIno909RzPeIleT3IQ289kKFrPSd6bz1qhYE9kDiBPdPAhz2TrJY98nOcPXq0hT1P8349OAZ4PRLxaj3dZWM9oB9kPW+Ghz0JqJE9GHmWPfkWdT3020I99TlKPQP3aD0TD4A9AKmBPYFeZz3CbmU91aR8PSUNeD36qoE9W7iDPTZsjj3NI5A9KEeJPXD1dD1bJWA9S9dgPbTKVT1av109m/h0PRuChj2Hd4U9zYOFPeZlgD0sg2w9suxvPSoPeD2513494Qh+PW5Oez2GT3E9BWB4PRu9fj0pjYM9nViFPcEzgz2O8oU94bmKPchXjj2yk5E9YTmRPcwjij3NS5k95iylPU0anz2EjJ09OMyfPXjAlD2wxow9Ci+SPccniz2h/oU9V/uEPRNDiz0XR3k9SkeEPZATkz1mLow9rEeJPSxMkj2Cyoc94WmUPZ0AoD3z3ZI9QJebPVMWnz3YTp497baWPSSilT2eWJg9hfCUPV1/kz2+boU93BR5PQtbej3iYIM91DqNPaxBkT1JdYI9jdqCPaickz1jwZ09gqOcPYBJpD0Sp7k9Ys+3PS9spT39i5E9+GmIPc71lT2XSJM9V0CKPUHajT0Id489cMeXPeATnD2txpg9Ek+TPcXPhz2p2oE91VSKPcGFjz2614Y94XCMPUE1kT39jKI9k5mvPTSRuD3FpKk91e+OPdCyjj3OQ409vUl4PfTLez37/Ik92PikPa00tD0g5LI90JafPQDXkT3sSI8927OePaV2nz3w7J89AmSfPW3Zlj1l4549pYSfPbvblz1FW5g9EqydPbh+nD0zRpg9+2KiPVDLqD2YlaI9BPCoPSMzuj2Ja7s9m0SrPfAxnz0mHZ0925WaPQC1oD22iqc9RBCiPdmVrj3ABa49EMWkPZnkmz3qnaI9bumfPbzyqD3M46k9iyqwPbiOsz07Jq89NY+6PdjWwj0QDMM9afW7PWINpT2YnZY9kROZPZCjjT1J9Ys95paHPbDUjT1gBJk9owWlPZLVnT2DJp89sYubPU3kmD3sz549HHefPethkT09X449vomEPU4TjT29hJY9yjqhPbpCnT1evJw9gpaePQpenz0zTpQ99uOQPW2hhj0JjYU9aHaFPerohD0iF4096f2KPel0iD2QIIk9mNGHPX7tkD0JPJU9PnKKPUxThj15cog9VT6HPSu7jD1ZRZw9KRipPTwJoT2MJKA9oMiePQLvkT1WwIU92LaUPT2Cmj3DKpg9E2CGPYtAdT1aKnM9jWyPPUKToD1a7qY90VGjPTONlj2+InM9FEl/Pe7ZkD0Y+o09h02DPVWTdz390HE9nrhuPet8cz3HKII9nY+SPR+gjz0nlZU9NvmbPRSjlD3gcZQ9mqCTPbd2lT1ZqJY918aQPXrJjz3O3YY9Jw2LPSbqlz3AIIw9vkaBPUt2gz3LyIk9rcyXPR/3rz3Kq6o9+naZPfFjkz1N6I49CmKTPbtxjT0W+oM9j32BPY2hgD2RSYM9d+WJPbtqiz0C+YQ9DwaDPbmtgD1U1YQ9s5GSPWTbkz09v5s9CtCaPVp1mj1bjY49o9uGPao3hT31+20915VVPWTbST0X2ko9NqM+PTkOMz0nhzU9TAovPQnRKz0I5B09yk0yPctpUz0csUs9aPQ1PWltKD1jxiM9wL0kPTxlIT034CM9k18oPU3FIj0sPBg9laIZPfYXHT3F4BA9NJoLPexhCz3lIwg91OEYPeYAKD0+3CU9TS4YPRIYFj1DzQg9Q3/wPGdFvTwVqqY8gfyhPEjiqjztDrA80AeqPDWVnzyKl6M8scerPMuTmjwqtpQ8bj2nPCpOqTzTp6k8PTenPLkopTxJda48BrzAPAHRsjxN+bg8GRTBPI/2tTyDAbc8Lc2zPOd/tjwEiLk8Bze9POotxDzuvc48b5zIPPY3xDy8Kb08uJ6/PLBm2jzdGNw87CvDPKwhzDyEItA87A3PPErpxzz1xsw8U/jJPOcn0DxP3dI8iJXRPGmNxDyu/Mo8kNXYPNv60jyzuLo8mA20PN6twjzRWcY89O/JPDG1wzxIJ6Y8jbafPO7KqzyLsq48PFi4PK7rwDxHy8w8+RTPPAwPvzyi0ak8xIK3PMd+xjzgOL48gGS7PPfTvDyAF688PiCxPHmLwjys1uA8c17jPN3oxjzPLM48an/rPGFO9Dwfqf08tcz8PBPu5DwW0Ns8gHTqPLfE3TyimdE8dufOPF8MvTykjaI8Q0mUPMK0lDybLIs87KiQPDbTiTzEV5M8A7TRPGjQfT36nME9iIkYPiNrST62tEI+hBghPrw4Ez7IFg8+H6kYPj5RIj4wchw+Mzs4Pu02MT5eziU+jVQgPq/XOD5D8kY+VzIuPtSMIj6f1iE+kd0rPiRgLj4KMTs+s0s9PvXGPj4TvEA+HSFCPo5zIz48NS8+GQ8pPqjoID4KEiA+BLEgPogeLz5fsTA+8fECPqxuBz7rlRM+u/Y+Pm6BQT652Ec+d9I8PoGiQz674z4+yF0jPjxMET7GlQ8+hNMWPiRaBj5bHvk9gab5PWdkPz4yfEI+oawrPhmTNT659jg+RTk3Pr+FHD73kQs+37EiPq5KGD6GHBc+HJkNPvzyBj60Myw+UPYtPnoOJz5Lli4+eQJCPqQTTD4OB0g+wP4nPrj7IT57ax8+HDEKPrLgsD3L4h49VXiMPO7zUTyJ8ms8WdqfPLvxoTzp2ZU8yzSiPHgEnzzAmp08rW+bPO8+oTyugZ48qumgPB9xpTyfxKg8X1+vPISMuTyIOsA8DjvQPO0Q1Tzsr9U8iIzTPHxZ1Dy7f/U8uDz5PCa7AD3aywI99ggIPXrqBT0xy/g8ZUT4PFFYAz0LAwo9EI8QPer7Hz3lwyQ9YbIEPS8iDD0vuRI9B6oePZTzGz297h099pQ1PYKnLD1OCiA9POUOPZqEGD2QAhY9VkYbPccTEz39BQs9ErEFPc6oED13qhY9Q4cgPV90LD1EkSk9JEkmPY9GHD3VQSI98HkyPTqyMD3Ghi89+HssPa80Lj1yySE9n0YkPcXBJT288ik9uNwrPYufKD2baCM9jH8bPXMBGT3FMxU9YM0YPe9NIz3FNTU9WdEuPbyiJz1ycS09y9YzPQ9xNT0kCjQ9ozc3PbjaND1vCzc98BErPYeeEj2GkBU9YIcRPd8jED0igxc91xwlPf7/Jz3aIik9jrc9PRErQj0hTj89viQ4PSwqLT1Gmi09qacvPUayKz3gMh49uiEZPSl4Hz2GMRs9YooiPU1aJj2YXyg9+gozPV9eOj0JhEc9/dZSPffuTz0/AkA9ELEuPXcnIT1AICk9v780PX4cPT0d6DA9fRA3PZmZKz1eCzE9M5o4PdyiOz1TdDs9cXQ6PQvdMT3Tgzk94lY/PWrIPD1M7j49SEAyPfyrND0YXEE94IdDPbVSOD0g2zo9n3xJPf1OWj2uzEI9Wks5PYboQT2RNT09yVcnPfa1Gj0ZShU9BE0SPfhFFT2j4hU9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf0A7gT3FToE9qkKIPSxpiz3esoM99h+CPbi6fz26+Hw9bw5sPcVUeD2NbXQ98Gx+PR7Rhz0QL4s93PGFPaAMcj1hjHo9FvZ3PWfLdj3aSnM9QIF2PdGeiD0h8oo9Mi2JPSJ8iD0PNoU9KbGHPe8cjD2ywYQ91kWDPZ6rfT1L2nc9+jZ+PaIzcD2WqXM9aAeFPY4lgj0yL3k9D6h/PfxifT2P8Ww9eXdwPdZycT34RHA9koZ2PcOBhj3fHIE97jp8PTsPgT0itWs9LORdPSy7ZT1N9XA9FFpwPTHkbz0w4mI9kEtrPUY+hj2pyIo9vPiIPXZGiD1RhpE90JxoPX9wTj2V0lI9wZxPPQi1Vj2K/Gs9d711Pesrbj0FWGs9DUt6PabTfT0XIm49F9JjPZXMgD2SIIg9eamIPUZWjz0TO5I9veeGPdUAgj3OBnA9RW1vPYjPgz3JKIY9ZqeNPS0Tlj3ykZY9YvaTPf5jkT1dF409MoqGPXP4hD3uPJA9/pmYPSkYmT08pIs9AEWIPcoRij3ZOoc9VlWEPaTVgz32SYw9mTF/PcNQgT0qu4g9siaLPXL5iT2ZLY49lE6TPVqNlj0KGJk92Y+fPTCPoD2XDJs90wSkPZXJmD2tJJs9GgKaPRr5lz1fR5Q95VKkPSRMoD34LJc9wlmPPU81jj1NpYo9EjGFPRFqjD2uzJo9kCucPVuWnD2+yqE9lxCgPWb5lz2c3JM961qJPSOnij1TDpw9iMGgPZ6Bnj2B9qQ91H+7PW/yuz3qoq09pR2kPXLGnD2OEYY9JEWNPTpMkT2Z9KM9s/6qPSKFqD0Q7a09Gh2dPWexoD3BhrA9iR61PftMqT06J4896TiMPSGHiz3KKY89F1egPWOlsD1w07A9eY2nPdwboz3CGZM9V36aPRA+qz2YTa09m3S5PWY2rj2B4pQ9f/qcPUdGrT15/LM9QbavPV4ksD10qKw9sg6sPXTFtj1SRLI9OYe0PUtlrz0guZ49uwuSPag7kj0TWY49qzWEPTrXiT3r+aE9TFOnPQGFpj0eY6o9Rt6hPccwoT0XZqM98/OvPThcrD1T9Lo9jvi0PWo+qD0HMqg9VLuxPeuHpT1tCKI9jKakPdukmT078Is9q6WMPdQjjz22gZY9er2ZPWy3nz2NxKw9FImxPZmQsD3DD5099/6YPXOkkz37yJM9nPmbPVlrnD3ef6A9H5KgPbZJnz15jpk9eyqmPes2qj2Ccao9xi2gPYEwnT1KOZo9FlmOPa25iT37+Ic91WeDPV2Jhz2RCYo9hFOLPUgolD21QpI9mZOKPUdmgz3GLoo9AzmNPRPiez1v+n49HqqGPQsKkD2kEJo9glegPRTZpT3G4ZA9FAaMPcZiiT0cxJI9SjGaPUbkoz2J6ZY9Ge2OPfeFgz0VaYY942WIPeFqjz0a74w9ltyHPaGngT3S0Hg9ioN/PfKTjj10L5E9t6eQPe10hD1vVn096HuAPZmajD2+tpE9nfiWPZiCoj1Xs6M9p66LPVtyiT3AUYg9QxiKPV8WjD3EFpE99gysPbvKoz2TZpc9I1GdPYCtoT35t4g9iKt7PbiJgz1qJY49YG6OPRKsgj0/fX89Ee5uPQXzdz2RMoM9fkeMPVzkkj15/II9C2WGPfeajD2I5os9AI2FPS6dhD3yUYQ9knCHPeySiz0fD4o9esl+PZlehj1Xd5A9QmGDPXffgD0ulIY9wGeHPU4fdz3dHF09BMBCPUp3Iz3tzB49fi8cPbFnEz3SsSc9lCciPXAJGD3uFxY9evomPdhtKT1GaS89ihMYPUZjCT25dQc9ewIIPRTUEj2ukg495nAXPfJSHj2nGhw9gQQZPfq4IT2G+x09dQQYPcECHz2X0SU9CWwZPXnVDz2dqgU9mz/dPOm5xTyAxco8AhrWPJ9mxDwO/KU83PqrPAOtrDygTK085bCdPAFuijw1JY88c5qaPIS2mzw/Zpo876ipPBzGszy+Bqw8B6mxPNz8sDwqPLQ8FyXLPF/u5zzEeMI8bWa8PLqjwTwUar48xzLKPDMCxjyCV9M861zVPN1OzjyBB9Y8wKjkPJpy0Tx4ecg8TrTAPMP9ujzJdsM8YsvSPGun1Txcy9Q8sljJPBq7xjxK+co81/7/PFnD8Dy3h+o8SM7dPIVO2zxCoMk8vEbLPMUh3jzBz9Y8gVjKPLaaxzztZsE8R629PMJ5pzzgoZ48R+ibPMnrmzwJto88g56YPDzvpzzPFb88eMPRPDVk0zz12Ls8m6G5PEHbvzxEjcc8NfjAPJ1hvTw+dbg88fK/PH29xTz+p9E8NHv7PEasAj1+Q/08RhvVPFea0DyYbt48qDAFPdMxBz0iAe88kajYPEGM0Tw/VMs80/ivPCqJqDw9K5g8rXuVPIjGgzxe54A8lP2CPK91gTzNHmo8PkGKPC2dID1EYqc94akNPiilHD6kUUw+t/ZEPldxJT7x2yQ+5aIfPqU/JD4epCY+PGoWPizAIT6YFzI+cfk5PmefPz4gE0U+6KkvPu31Lj62hDI+rZE7PpHQRT723T4+hSxOPiiROD6sfyE+gsEmPnDaKD560Ss++qosPvyoKT6Xvyo+19UiPm2aID7ukiE+Ymw+Pu77JD6agRU+43k4PoUtQz59B0o+0Y4lPkg/Bz5PVQs+/0MtPgWdKD7KVRo+8/oRPpRqFD6iQwo+VR/WPSMP7z2gqxg+aQ0yPtlSNT7w6SE+JHwsPooNJj4mAQ4+hp4mPvWIZT7/MCI+BQYfPswxGz6nuBQ+ONgePtRyLD5lljM+30o2PiG5NT6s/UE+joZEPqKXET6f7rA9xpCFPaLr3DyU/4c8Ai3DPDGrqDx2xWM8yg9kPHcPgjxnupk8VemcPDcKpTy3NbA8ZmWyPAWSvjwvRMc8kzLXPPAUyjx7pLY8rUWyPM/7uTzjM+M8LuLuPDgiBD05NQI9oDADPVC0Cz36iwk9P/8IPZo3Bj2uRgA95dkGPQLKDD177/08hd72POPF+zw/cQA9VAoDPYi1Cj3zESQ9hs4ePfocED2A3xY9QV8TPVlhEj11UBg9G+ErPYwANz3RlSE957oXPQ4ODD1ulAw9OOYZPYrpHD3HfBk9jZYUPcxSEz3TyR89+I4bPa7tJD1/eCg9w0QsPcVdQj3ycEM9XPE7PYnHLj1J2S89HVAvPX6hHz0XRSk9JQglPSktGT0T4Bo9n04ePVJYID3ruyc9QI80PeeHQj3lyUA9jOQ1Pfa1Mz3i0DA9m+suPTMiKT1yMSI9gqQpPU7LLT1DxTg9OQwsPXY8MD3T6Dc9fUs0PYuGLT04EyI9MNInPQLRKD29oSM9o3QoPY17LD3mejQ9qo01PSxWPT23BEI9rJpGPZ7ERD1H7DU9bZ0qPZV/LT395S49ZCMiPdGXEj2WUhk9yI8lPezcJz371iE9Xz8TPSsOEz1Emyc9I006PUdBQD0ooUQ9rb8tPdr6FT1Vdh09JuslPRIoLj3+ZjA9fJcoPXCeMT3uijc9tRE8PXygND3pSzQ96hAzPXI5Nj1glyw9qCUbPWB2IT1LqiY9B6E8PdBgRD0fvD09J/ZMPRLwTD2ZfEs9MAFMPYFeTT3n5Es9YphAPc1XMD0wIyw9VOAqPa8nLz25XiA9cq4ePfQ8Kz36xS49utUuPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH92RnM9f3l0PbB4cT1Kz3c9Os1mPYJrgD3J6oM9/xKDPQ5Ogz32PYA94Ex7PR6jeT0YOoI9jFiAPZl9cz3o9Wk9r8p8PUd6az2NCG091Vp9PSPNjD3tdYs9cwaLPTTuhT3zm4A9sz+BPZydhz1XpoI9wEOBPbPogj2OxYE9AQZ7PbgHbj0sYWk9yR53PfoEdT0CnG898p9yPWh/gD27yIY9VSKDPZgEkD055pg9Bg2aPalmij34sHc9vHthPdDfdT3mhX898rt6PQ+aZD2sG2I9SzN2PTg8ej22RWs9AuNkPQl1Xz28XoU94raLPUYPhT2izII9uRyCPREnWT0gN0094axfPebTbT0o8YY9YheMPXUybD2KwmY9Kxt0PTdzaz3lFFo9ioNYPQY/bj23l4U9mb2OPRINlD0EII89BD6NPeKViD1GFHs9LF55PZnkeT3g7oA9BrKBPdB6gT26aYU9ffOAPSG1gT1hdYI9PZ2CPdP9hj3mVJI9QWuVPdqNmz1rtaA9xraePaRvlD3TR5M92nWePT2wpj3jhZA9kNKNPSO8hj2C9Hw9f4qAPWBmhj17Uos98bqLPREIkD1dwJU9RBWiPediqj2vIZA9RICNPYbOkz3wd5c98QuZPTEvmD2nP5I9lLSRPeoGlj1CVpo9GGmWPfT6iT2dd5A9b2WTPd3imT2EP5g9OfinPWlBqD0PAJ89T02QPf5PlD0ReI49wxCIPVnyjD21O489vnmWPZjYjz1/BIw9FxKZPYw+lz2+LZ49FwKiPYaboT3ArZc9+0aMPZepjT0l8o89LxqZPbeepz2qj6g9uj+pPU9tqT1YFaU96QGwPcx5tj3f56A9EL2ZPb/GnT3QBZc9SJKQPfEZnD1mSZ49B6SePdpjnD3am5o90q6UPW9Blj2mvZ492PeXPW7Knz1wAp89v7yZPQn7mj3l56I9N06qPf6IrT0qc6w9zKmoPfSVoD3TpaM9G0OkPV+xmj3dJpc9s7uQPRejjT2naps96fioPWuhnT3ImqM94gW0PSX3tT0A36s9eUyfPR6Hnz1Fx6I9S7KhPSlUrD2Mqa89ulSnPbSPnT3U6Jw9YteZPSuZlj0bqZs9IeyoPSHXsz3JXKw9IMihPWljpj1/4ao99pWfPc6hmT2Hx5k9aM2TPYhdjz3fq5U9h+SXPTmWlT3b4ow9kZiHPVXsiD326IU9vJ6LPSg5jj2/1o89ztKSPV5pkz25v5c98zmbPc1kjT1MBoY9ux2IPbjEjD382I89EOeXPUGRkD2EGJY9ikSOPW5Lij1qpJI9xpyRPabDmD1eto09/wGJPRdJjj0VDIw9JDGGPavegT0pmYc9L82RPRcbpD33jpk9ZIqBPWV/dT2dcXo99CKKPYcnlD0ldZk9HU6XPVeElj2UQ489NL+BPf/Jhj3Ua489eDCFPTaWfj19pW09b9pvPR0Zez2RlXg9OKxoPR+hYD0PO289aQSEPZo2kj0HbJM9a4+TPSfgkD06N5Q9R3iZPUSRpj3t6Jk9qPGQPSGGjz13KZE9zuqgPUUHrj1xLKI90NqaPX+omD33So49acWAPaf8gT3s/oI98QaFPa1qhT1vg4A9mWRyPSeBhD0m6JQ9I9efPYlhnz0GM5Q9OyGiPRFrpT0FLpc9+oKMPbZ/gz1OKIQ9DiiJPaflhD3gR4I93/6CPQwMeD1GNXM9r4GBPXKliT3kTpI9wXSQPYRrfz0FqmE9HaFKPWehLT3mhx496HkZPT8rFj3NuB09BM0fPeBAID2KKhw92rwcPV3QFz39OA892hEJPZcMDj2iNRI9ucoQPSIqFj0tPRc9VX4PPZa4CT2buQk9P58NPXWOFD2Gpxw9cCouPVCdKT0BAxg9r48SPSXyCz3tJQc971zdPBjPuTz1HbE8J+SwPEgVszziXbQ8M023PAt7sjy6jag8PQmkPJTqmDzQTIw8yomYPEnEpjw6yqs8A72rPPl0pzxVM7Q8cqauPEDeujx5Qrs8cj24PENAwDxg5dM8SgXXPEan2DysfeI82YfjPKsxyjwF98w89zLMPDYu1jx4HOs8lTXxPPn19TzbAe086uPIPA1tuzw2DLI8MgCzPCZ9ujy/08U8e4DFPLG+wjzgLNQ8IS/dPHoQ+zyRlwM9/zL+PI2Q8DxsdeU8OAXdPH0VyjxCyso892PLPHEtwTxtf7A8SxqtPIMPsjypuZ081BWUPFFFlTyngoo8hO2IPBEfmTwDBa08nAO3PBXRyjzfF9g8KUDRPPs3xzxjf8I8DIazPDUjtjz9u748sw7WPLeR9jzsFgA9Kir2PFdP/DxiJfk8zxX5PNXT6zydwNk80hXgPI/G/DyWk/880JABPVYm8TwwKMo8pz63PF81tTwsO8Y8nN7mPE2QIz0OHt48Z+2FPOcrdTwYAX08sjRxPP+fCD3Pl7k9rykmPgVhSD4cS1A+pVE6Pm/9KT7cpyc+lF4rPq8eID6A5B8+fiQoPmqhKz7VYCk+WH86PhL+Kj7uRyU+OwMcPoDgKj6Rqjs+W/otPukBMT4XEjk+CZEyPgR3Ij4Oyx4+uGYSPvbBED7XXBU+tcgoPkE0LD7teh8+q58dPlkqJD5OdSU+OjswPkadSj5eOzw+g9EyPm3zRj7kwUs+BGFLPqbtNj4xbiY+ZiQiPmu6HT7ONB0+yv4hPgU/Iz5EeiY+IGsXPsaTBD7ceQk+BNcaPsaUHT6GmhY+rqEWPsAVGj5RqBo+nKspPpxQYj48NV0+9s9EPjbXRT5kZjk+O+gpPpf6Kj5l6zk+lXMwPuabKD4kLi4+l4QVPlr8nT0u/OE8rvhzPAZbYTyCkoU8KELLPDkpszxds5o8xXmvPKOOrDwQeaM8aByuPNE0tzxBS7c8k52+PIu9vTxq3sg8QwLZPCza2zxLWsc8mai+PHftujy6qcw89KLnPK3R8DwZ2wE97ToLPZ+AHD2P4SE9c5IXPcqw9TxpRts8mBHuPB8FBD2LUAg91AUIPRfgBT0Qd/E8HT30PALICD0WKBI9yUIUPY7JED1dNQ89sL8aPSKtIT2EjyM9p5slPdg/Dz0X1AE9+L/9PAmi+zwgTwE9gIgQPQ/SIz14Sg89Jo8JPfemEj1uXhc9iGIVPXSqGj0AwyA95dYfPaGkHD1ocRg9ibAZPTbwHj3XvSc91rAqPZiwIz34lhM9e6sYPTQ9Iz0WKR09fOUbPbjkIj3yxis97AwwPRD6Oz1mIlA9vnVIPSioQj237jk9Do8vPWEDPD2LIDs9VTc5PTe/ND0VrCg9920yPQ/POD15ekY9vSlMPZfKRD0kmjU9q7U6PczbJz1MwSA9WV8kPZSyJT0iZS892GkzPdj1Lz123Sw9Bx8oPSi2KD3Qiy09k5UuPQSGMj3tRjo93IozPfGPGz0QOwo9p80FPakMDz1J+BQ9LLUVPV35Hj09byM9jdMrPai3MT2WYEM9HndHPY8PMT2uWiA95z0iPdFmKj1XJic9Wb4fPZyQDz33oh49PzoxPZ0XOz0JXD49MME/PXiFRT1wWy09j/YWPaE2Gz2dHSM9pg0mPeuNNz1N+UA94FFBPQGrRz2r4UU9gtFCPd/XJz0BBBw9xVkmPQdRMD2OaC89eVkuPZHDLT3OjS89Kf8nPU7bKT27aj09AgRBPQIEQT0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/20BdPfCnUj2s30s9N35CPb7BWj3afXU9sU13PXX+ej1SfoI9l/+DPQ1Edj0D83g9p6OCPUtHgD0nfn49/XyJPVUVgD1MXm896BF6PctQhD3JfIY9eDyKPW3BfD1VI3s9iRp9PTdFeD3hcXQ9/ftjPRtscD2CT3Q9AKhpPQKIZD0ozmM9n8p4PYUbfD2CAng9mUqDPW0JiD1j6og96wuMPVADiD26/ZM9JriTPZgChz1UbIU97CpnPQDdaj2WLWs9C0lOPbd5Tz0iMFE97vhgPb7CYj2EIGs9OPFtPZpndT1eN3I94HaJPRyvjD3xiYA9ZWlmPVe6Tj0elko9dutcPXJlZz0VEmI9CVJcPWs2Yz3nn189QzN2PQ6FhT0lZ4U9jRqFPSUBgT0hqoA9srSJPZXUkz1YQ449UBKGPTHjhz1EIIk9sNGFPVTwhj3fFHw9Dyt0PbmQdj1dfHg9yBiGPfNzfT3VF3g9AIaOPd6plT15fJo9aO+ZPRQxjj0wH4w9fcqKPV3+hz2Tn5A9QVedPTkVnD0iJYs9Uet8Paahfz0jqoY9vXiFPeFciT25EY09qq6RPf4hlz27S5U9IHSUPX1+kj3UYow9V3mJPcG3jD2tRZ09RpmkPcGnoz0T1po9OXCLPUWnij3diI09zOKQPYFxiz0r9I090YyUPe/clz1NFJs9AiCQPQ0ukD335ZM9SrOMPZSwkD1rh5s9GfmMPStGjD1um5c9iVaPPbdljT36OIk9hgeOPVBxlz1bfqs93kSpPQrmoT0X2ZQ9FXmnPRGvqz3rb6E9Cu2bPd1vpT1eQrw9JyG5PU6ioj3kLKo9xnyuPZCTsD3hcqk9Tw2aPYrrlD18B4s9mW6KPcTEhz0bJYI9CNCBPUPwgD3ge4o9EuOMPbQqkD1Sx5I9GYKVPd3AmD0PPas9ToGnPUqRpD0W/Kc9n8uqPX52pj1jm509J1WbPWXemD3yf489x4yNPQh1mT2A0qE9ML+nPTl2qD02bqc9WwqoPckHqD30o609GguxPU/Wuj0/b749m3ayPZuSoz1f+6g9gXWuPXAZsD1bqKU9BvyRPTp2kT0BTZE9bzeXPXeHmT0Q66Y9y5ulPdkMrj3YmLc9faW1PXJqqT1vpaU9alWkPYnnkj1+2YE9b/2CPcAojD1ZjJY9fyicPRUJnj0Ab4g93/+APWhMbj2FrHs9E0KLPfo0ij3kaYg9Y6uJPTs+hz1gVIs9+mSWPQQ+lz2yRZk9GsqPPUpLgT0SVoM9Oit/PTMNej2QOXg9KQ6BPRmBhT2Uan891tSPPa6AkD29g4490HOLPdRcfj3FjYc9uMKKPSY9fj3iXH49rV99PUc6gD1ciHo9yghnPZPnXz1RQ2E92WNsPdbOfD19Vo498lGRPZZkjz3OTpA9fVKVPX7Slj0n/I49KyiOPVSWij3GTok9ht+GPX3OfD2gj4c9xkt7PXHAcz1i/3U9CYiBPX0Vfz3PN4g96kuOPemYkj1PypI9byyfPaF5qj3QJqE9L2ycPVXGkj19Mo09xsyWPVXFpD2oXZc9xsiOPeKvgz25HoM9YauBPeEOfD2BKXk9DRuDPWIChz07goc9MEmIPafchT1tGYk9/aKGPfPyiT2iHYw9E7uHPYxZoT0ULp89q8+OPeOcjD2MHI495aOGPVIfgj1O13k9Oix0PftiZj26lmA9wWBWPfJKdj0T4oM9s26BPRWafz0ik3o9CJBnPZCvPD1AYiQ9BWMhPQIrID1LvRo9lYocPc8yND0j5Dk9AcwqPbPyHT3MqRc9jkUSPXHRCT0CihU9IuYaPYG0Fj2OSxo9aEkMPbvmCT1cUhE9snMPPXHaDj02uxY9/JguPWd8ST2Vsx49tGnmPIgl2jw1zN08hJLaPEbvuDwhvc48JnzSPHnlyjyJOcU8MZTJPDZyvjyWmJg8+W6WPG91oTyUVKo89/WiPPvGnDya7J08qWmePM4SnDw06JE81l6qPKaluzyqHMI8uDDOPMkI0jxpgdc8t27bPLY/1jxZheQ8aSngPEdq2jzm4NM8dpnTPOGrzTxfK948wjb9PM98AT2mGt08VKDePDs45jzUeMk86tq3PDxMuDwfaMk8nZ7SPDt90jyn7Ng8UKfsPM+18Tw8P/w8Wu/2PC2v0zxLsck8CSHWPAiJ1zzx8M48tXXXPFPM1TyRHc88iRfTPG1v0jyuGsg8/LjDPBpixDyCBas8/yeRPItBkDydtJo80cilPItiuDzPiMw8dYS5PEHmtjxl4rY882O2PI5Zyzw0HN08dp7wPO4G9jzDHv48UwbwPCMV/jzVofI8PQrfPEiM4TzFvus8FZrqPN3N/Dzxaww9xR3/PEXu+DyLfdo8MpeuPC9zvDxq7Rs9pisqPX9ZPj15/Go9qUgKPXWWczyU6bU8ZQlJPaa8hj2vuA4+i9U/Prr7Rj5O4Dc+zMAxPiIdKT4l+Sk+stkoPppMKz6LWDg+I7stPtw9Lj6DLCs+A1kfPjCsKj4RrCM+y+EoPvAXLD6kSjs+K2YwPqN2Ij51My0+xcApPuwlJD6QUiE+i+8bPltZGT6VzyE+ohskPgsFKz5jjDE+UZwjPjWmKj5EDDE+CQIxPumNMT4BbzM+t90pPs6+ND7kezg+G8Y8PqbkNT5sfQY+Il60PT68pT1PlNQ9xvT/PaEzsz6q6Qc/iUt3PkOUsj2MoLk9+zfbPWhPCD6CQBU+wMwvPv5+Oz6sKTA+xdEqPs8eOD7wWj8+9YEvPmgELD5JMiw+pRMmPnCXBj6Ij7o9zp7NPTbQ/D0VkgU+U1byPUHogz0/27A85veCPADWoTxB4aY8VEWwPEzlvjzm9sc8yt7LPCxx0DyoU8Q8X9m6PGKmtTyhprw89bm5PGpVzzyQwds8RKDdPKTB4DxjZNo8vU3RPAWbxzyj1sQ8JKrKPHPt5TyK4Ps8DqQAPYkgCT02WBU9HfYYPatcGz1mmAE9+dLgPPaRAT2+pAk9J3UIPR+7AD3qVP48zLQEPUt2CD0PCQ09VJIJPXgKDD2PUhY9BrgmPXHnKD3WPSU9aX8fPWfsDz3b2vk8K2n1PMYG+TzkjwE9sb4RPdo3IT2ykSA9A+0hPVp0IT0PoCM9h9wSPV/6CD3nyBU9IVkZPRVPFz0YhBI9b74NPW3qBj31wxo9Z9siPc60Hz1OxyM9tTcePQy3Fz1S/y49Kd8yPbvPMj0OUTw92b86PaOhOD2WWjs9/i44PemsHz1E3Bg9l7gbPU0VJT1eAio9GyQzPZYFNj0f4DE9sfEoPSMPOD0GcUg93hVLPYElOz3EHTI9rOY2PWb9ND2ydiY9cf0hPTwMHj231SM9KospPVZVLT2fLi89U3s4PY6dQD3dpzo91MMlPZVuGT2E4SE9g0slPe4OJT1GSyg9LzkiPd1BGD1nLhk9OeUXPWRFHD3AUzU9Ah41Pfx2GT28ARc9HZggPbCKIz3mChc9LqobPaCpKj2OzDw9nsMuPcywID1pcBQ9P2IQPY0gLj0PyUI9hRpFPY5vSD2jAE4931QzPS8LGj0t6RA9MV4RPf7dET3x3CM9iEUqPch4LT22hjk9rYw8PXe1Nz2zzjA9n6YmPanYGz1PWyA9qzUxPbhXNT2WZio91lAiPe+uIj0jciE9SCAqPXTiLD104iw9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwWXhz3RuYY9kIiAPZ9Ndz0jUns9T+d6PdpXez1hCIU9yAiCPRz1fT3o13k9HKhyPVXtdD1AjHU9/TqBPZsJiT09ZIk9hl9yPSNNhD1LSoY9fgWLPV6LkD2Zx489exF/PQKDez3N9Hg9spVzPbPfaD2JO2g9XSxqPejnZz1cLGg9fARvPXT3ij1nzJE9GC+KPTHshz3WFI49MoiSPTBYiD0NEnw9FQ2DPWjQgT34LXg9cjVyPQVIXD312lQ99xpJPYbDRz0PXV49qdJrPa71fD1sAWI9A1NiPfUFaD0snoE9hT6EPSibjj2MrZE9f4SAPQJ9dD1bclM94mNRPfDoaj2s/nA94ppdPTbMUj1js3w9ThGCPR7xiT0A7pI92m+IPeNpeD3S4XU98wx7PYBjhj0JbIE9pUJ0PcBOhD055JU93YqVPVzAiz0hrYI92dOBPZOKgD2hIoc9gxeMPTEDmD2014w9ib6CPe/iiz2CmaM96/yhPS5fmj2lBZM9evKRPdzAlj3oq5g96/ycPQnJoT1gro497y+EPYsohj0bbI09taiLPZjyiT3zYYc9l4GKPfpgmD1jwJ49hNqaPTBtkT1MjIM9swqEPRJuiD3uI4w9HxqXPWuOoz2F/5g9vo+PPWfJiD1kiIw9D36RPZ+Wiz35LJE99ZOPPe+mlT1k3oo9NYGDPdgWbz3HFm89sceDPTwOiD2LGIA9VTKFPf4hhT2PpIQ9Mc6OPX/Wkj2Pb4w97WySPU8jmj0kd5w9UHGVPeqChD0PyII9dSl4PR/hgD0MvoU9gOOKPbR6jj27t5A9/UWWPcqUmj1Xqpw9CjeUPZ6blj3VvpM9f1KOPVwPhj2FaIs9W1OQPbH0hD1g7oI9h6NxPc9kaz3r1n89N9p7PRyQdT3ienA9iVR4PZuqjz0rjpo9TKmePe/joT0FHps91I6XPVUgnD3U0qs9JeKUPZk1lz0QLpg9mauaPXaloD12sJs9xleyPZS1tT2LkLM9tKmtPUMSoT15I6U9xUK4PRTGwT230b89BPS0PRo3pT36Fo89+KCXPXhpoT1fNKE9S/OhPU6Wmj15/pU9gySXPSobmD2WF5Y9n0+fPdVtoz3gEJ49yhSiPdy3pj2yuqY9TfGiPWREkj3o9pM97eOaPSXpkz36pZE9q2aQPY9Skz1OUI49TiaAPSE4gD0xUnw98kuIPcLdiD04T4E9WuiEPadLhT1qFYo9XkujPYowpj1PPIg90a57PTEVbz06PVs9T7ZmPUX9jz3a+4Q9Lx6HPX6Ehz27KpE9b3CGPWVUhT2iY4o9oHiCPWPYez1qsHc9CdJ7PWFugj1I13E9IMpgPcZ1Yz2Py1892tdjPQMvYz1DJl89ItptPaJ/eT2zT4g9Ks2KPVzZiD2TpYM9qNiPPac5lz1zHZM9JIaTPWBGiz0Xs4U9mCOAPcQ2fT24+XM98ktyPeW4eD0xX389Q/+DPXmdgz3OAIQ9fUSGPZVgiz1HTZI92WKSPZglkz3NaJA9EKaNPVajiT3ZSYo9kM6JPcGMkT2Kc5k9UyuQPUP/jT1VKo09dAaNPeAPhz0Sa4093BiNPb84jD1IWZA9aJ+MPUZmjj0lvYk9cgeGPaEViD2ux4I9ZuV6PbD9eD0V6Xo9i0d+PRtmhD0ppok9NE+KPdW+gD3P6o097SODPcy+cD0Ga1w98A9cPWWVaD0P5Hk96bh9PbtWeT3KHGg9e5xePQaONz2dDCY9MJMdPbW7Jz2mRi49KR8uPYVmKz0M4DA997o0PQFNJj17Fhs91YoZPX8DCz30Kg89VmATPcRvGz2ncxY9pd4TPetiEj135R899tM4PZNhLz1gfxs9VtYXPR6sEj00sAE9Un3xPLpbwjyeBL08iLa9PHj5tDx5vLI8DBW/PIcvvzyeAb48Rkq+POaQujyqnq482s2iPMC8njwiiLA8b6C0PM80rDwKQqI8zyeiPMaknzzdsJY8KMGYPGV+tjxZBsA8Xae0PBNWujxJ5cw8klnaPDVt9Dw3OeI8eHPgPHs61DzSf+w8MEv7PJ2v8DyQOMs8ZQLuPB0GAT3QtgA9GJD/PNGB+TzQsPI8orbePGr01Tyb/9w829DiPMcS7jwwrfA8VQ7sPAwT/zymtQM95XEFPURu8TxmhdE84XHTPC/gzTyuws48QKbVPGE92zxcWfQ8GtUAPfcI6Tw5Cdg8Y8G+PMeowTxeLLk8zhafPHBIoTwJWKM8kzKxPPeCuDykPLE8mEqxPASpsjwRdbA8bzGtPCOjyDx+8uM8bw/gPEDt4TxomuQ8s3zmPIbw1jzEe988wZLwPDY5/TwQnfw89737PHWj/zytEP48k4/9PGcu6Dx5cN887TXDPIoHuTxICfA8OTwsPXKSVD0fLmg9n5moPe3ABD4Atgw+dDoIPt57OD5ZqTg+Kuo+PmE9RT6o4jc+XfEkPpGCHT5AliM+S58wPnH9HD6a4C0+2EQ2PhunJD5p4CY+6jAvPmzwLj75DB0+mNorPumAMT4wpzY+1+80PlzvLj5ujiY+pR0lPhKfGT7sxRk+eVMgPgH7JT5vlRU+WJMaPl6CIj6N2SU+hHMqPnL8Ij7V/Ag+F+wPPo+jGj5tHiM+2b0zPt3bLD76hiQ+JWMsPrWJLD6mehg+TO6xPUSj/zwQ6Ko8bbMOPUsmFT2Bgc49fjorPvLvvT1kstE8Nx34PMHCaz0tXKM9I3HIPXgEJD5S9ZA+WguJPgA+Xz6JVlM+hGooPho+Ij57P9c9oujFPexdsj1D7kQ9vcaePBgkojyQ/r48nZ3LPHWJwjwS1bE8BTelPOePnzwu0p88tZ+oPE75tzxJ8r48ovXCPF1ExTwA+8g8QB3EPOfYyzwDw9I8VvzKPHE0yDzVEtc81NzlPATE3jz/F9A8KArGPM0ryDwLxtA8LUzRPPUi0zxoJeM8PaPvPLy3/DxU0Bg9PJIqPfdHKj30ox89NiACPfrv4TyHjPo89MgDPWm3+DxhJOI8tPvqPD5r+Dym2hE9n3AkPfvpFz0ePxQ9NmcdPW5zHj2RNx09afUePbcwFT0lLgA9Uk38PC7fBD0C3RA944IdPfbhHT2l5BI9ukMVPZGLIz1w4yQ92IUiPVCCFz1PvhE9Q+gaPWzVFT0rVBc9RgAcPZkrHT220xc9eKIPPYeQFD1tEyE9UbwsPcRaMj1yvT89D7k+PeaJQD0MJDQ9JrAyPQ7yJT2IRCw9Zi80PROdKT0ZAyM9kXMjPQKkGj2agiI9PvAqPTCeLj1bgzc9YPI3PZtGKz27ti89MSEjPWFTHj3H+Bw9j74cPQMYLz0npUY9pgkvPROGGD3Mgwc9xTECPaoLDT23rxU9rJwwPW3mRT1XjzQ9x0grPRNqHz0UHhI9BwYLPYOLCj0SChY9/6IgPW+MJj01Gi89iAIzPaqRNj1FOy89QgcsPUUFIj3xRB496UQSPZTmCz0jnA89ca8PPY5+Jz1M9ic9VM46PaBgQT1CqzM9ZygvPdbwIj0YTik9pUY2PdUxOT1deDo9kfo6PUbuLj3aFSI9fZcSPdLvCz2hQwo9fzobPdHoKj1MTSs9MFlBPb1PTz16Jkw94yQsPck/Fz01wxg96S8sPUsaOT0Nrzk9d3UxPa8BKT1SHBQ9HfYGPbcrAz0A/QM9AP0DPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/3gp49TqyoPVsdqz2CnKc9slaBPfRFbj1IOoY9G/+YPVrOkz1ePoo9aPuAPakbej1iPXQ9TDxkPS8Eaz1IO3I9k8KEPdN4fT2KXIQ9C+qHPd3MlD2uwZc9YbeVPXEEgz0zLXk9g4dxPZx0Yj1timI9aKZsPbP3aT2gH289GPZ8PUtqkD1ysZI9+52PPepcgj1jcoA9/mmDPVcMij36cIo9aeCIPVuzgD3KYGk92EZZPWq2RT28zEQ9x7NGPVSQUD1oZVU9Lw5UPRSidj3FlHk97EOBPTsygj0cdnk99r5sPWqOdT2/MH89DOCKPVUZeD2lGGQ9+NJ0PcE9fz0RTHQ9ZpdgPTrMaD3ug4Q9rJOLPQHwfT06fHw99lOEPZ5qiD2a74U9CdiBPTysgT2/eXQ9GAdgPQ8Igz36FqI9EKCoPRCqmz1FB4w9snePPfQkjj2Nmow94SqIPT3ciD3j4JI9wBiPPcGRlz0+OZ09j8eNPcuUkj1IWZE9mTeMPV7liD0mVYc9lfOPPXtKjz0g/5M9Q1KXPQl5kD1zGoo9jJWJPVeiiz247pE9m5qVPfYYlT2sLK894lOvPepipT2lwYU93nd6PTJQkD0Heo09enyHPVR7iz2Ozp09+UefPU3EkT0ioIs9G+SWPR/wmz2kC6A9UNObPRYHlT3bI3o9gCJdPRm5Zz20Vn891cCAPT3HgT2AG4w9DMiMPYVRij0N5IQ9H1+LPZGukD0qD5Q9XUOTPeDskj3XS5A9AjeFPYSsYD3t61k91X5lPSB3bT1cbnw9CzqAPYwygj3Ig4c9GBaBPY5+fD0e03I9XdR4Pb/3kz2XupY9sqiHPeYNgz15NoU90DaSPWIPjD1azI094ViMPU4ojD1T24o9aNOKPZkKgD31UYE9KruCPQLPhj0vCIw9somMPYv2oD0ebJ09a/yTPcGejz2ds5c9OXaiPWdfoT29uqI9DMOoPbCrpD14eKM9m06mPWNxnj2yn5w97VahPSt3nz1J5ZQ94POjPShppD1wXJg9mauRPcF9jD1vPJI94JqaPdm5mT3YNpc9coOVPZAukT2Cr5g962GuPRspqT3aIKs9mbWmPRT8nz13m589Z+mXPU7Unj3myqM9E7SpPT2nqz3m26Y9zNuSPWzojT24boE9CyN6PYm2dD0mEoM9jiuBPTUChD17kog9JKaQPcJSkz20cYc9jlKFPegDhz1wEIM9yhKLPWFNlD3FXIk9KLByPTr3Zj0QnF89CN5lPRj+hj2U6Ik9Cp2LPTRjiz27NI09q3yQPSsofz3Qb3s9XQKAPSa0gD1uBII9tZuKPcDHjT3QeHQ9MU1cPfqXaT3xnHw93O94PYomcz3v+HI9BUJ0Pet4gD35nYY95DuPPXeEhj1gvoU9t2aCPSUqiz1P9o89lwOIPWLagj1KlIA9IM5+PRDOcj3kJXE9c7qCPdV8iD0x/IQ9E9qGPYNxiT0/PYw9Tw6HPQljhj0yKIM9ZEaHPbsKjj2wDpA9fs+BPd/hhj131pQ9L2KZPdg7kz06HZE9aSGSPT7vkz1g1aI95l6TPTkMjz0G6I49KESOPXw/gT0PaJU9tH2lPR7/jT2x6IQ97eODPSb8gT3hmYI9hcCFPVTmhj2PFYU9OmqCPcaYdD3DYXo9+uOBPXhUjT3TVY493DKFPWvCdz2UDF49EGZSPYpsXz1JYW89bjyAPWhJhT0IPn09JFpJPf7zJD3KuBA9QPQYPfVNKj2Dmiw98fI5PWfUST1IsEw9iasvPb3rDj0WagY9r7YKPdpcDD2IDyI9ZSwePdsTHD08whA91CYYPVOgHT0VniU9OvEiPStUHT0Uwhk9v64UPU4yEz3E/eg8alnXPDI51TzLm8M8cYW2PDWDtDx8d7M8RDnAPDf7sDyK+qU8oNqoPHV/pzyqVp08XVSbPBt1oDwui5w8VwikPMF2pjxGO6c8n+GoPP4woTzhxac88HO4PB6Kuzzvlrw8L1S5PHSm0zxPt/c8NJrzPFtw8Ty/OO88HYXrPEkp7TzCBts8FJDlPAAO5zx33N08snvgPEgLAD35A/w8kVQDPZygAz0aF/08F0j0PNCWAD0xzvc8xq/bPIfm3TwvrPE8yPv4PAxJ7jyl3uI8Pu3fPLh43Tw8tNM8TxPPPC/a1zwgZck8agvfPBEI2zzsc8k8K6DNPBlh+TyLmwQ9te3dPOXP2Dw8isU8DBirPHhlqjznPMc8WTy+PBPbvjzH67M8ZG6kPKLZqDx3OMc8EQC6POwJujxZTcI8WFvZPMZe5Dy3qd08JyHtPLJ95jyGVeA8HWz1PFMhCD1xHPg81QbtPNSg7DzezPU8F+vyPCsj8jyr6to8nufLPHwryzzM/sU8hwPBPGwk0jwmsxI9SbBdPWtdsT1MrEU+gUxoPqHrPD4aCi0+JzciPsC6Ij7MAyQ+26ogPmMwKT4pkCo+r+wmPvHmIT64GjE+pEkzPojqKT6feSg+HTcoPvooKj5ZoyY+aywbPqffLj6g/jE+v2E4Pqu6Mz6vNSg+HG89PvOxKT5+VBo+0hgePkLxJT6bryA+MNonPrpGKT4mCCo+fpwsProqLD5oViM+6kQUPux3Cj7KHhI+LK0fPobSOz6Z/i0+HHwTPjteHj6hJu496LmKPQivcTyX9W08ME1aPNorYDxy8W88w0Z0PDYdgDzPxHk8sKaHPANDjTztVqY8wbPUPDH62zxvnrI9++Y4Pr7hFD59jxQ+OfbxPU4Boj1jDYk9lrviPOnpxjxSqck86NXAPBUSvzy45bM83nmxPLCQrTwJoKo8jWerPCCiqTy4E6U8+gGePEPrqTx0Y6k8tOikPFN/tTx3CcU8VRTMPMze3Dwf09484ZXtPNpkAT1no+E8QgHbPL8M1zxTTdE8o9zUPGf93Txwado8xoHpPHzh9TzpPfk8byQAPWU7CD0JvAs9yRoVPdW6Gz0XexI9xXQSPbP2AD37nds8x87TPJKn4jzRaus8BqHpPFzX7jxHzvs8OOUDPdKlCT0cVAU9AFoBPZKsAz1M+hQ94sYdPSmWEz0VtwY9encBPRw5Dz3dQyA9NSkkPUR3ID0D2Rs92AATPTaVGT0eOBU9uL8cPX+zHD078hI9mSkQPT6+Gj1YzSA9rdYYPeJqFz30Jx49jG4mPXyoID3dZB09PR4mPeo7MD2BHjI9cKssPcGKLT1kTyk9sBkmPQ3oIz1DzR09mYoWPQYMHj1w7SQ97zQyPWPjLj0Ppxo9K+kOPfNaCz02yBA96/EiPavFKj3Mois94scfPaeJEz1zMRw9c8gvPa2xNz2riTk9z65EPUrrQD1S9yI9bfQWPV1rFj1cxBI9F7MMPT4gET1DNhs9G7sUPbKMDj0TDQ09Lo8RPQgMFD02zR89r/s1PbslPz33yEM9Ypc/PVLrNz2E1jI9T14bPZOREz3H7Rg9/ZYjPabgGT32exc9qrAdPerwHj2uTi89mmMwPeB/MT2ibi09Cpo5PdSRPz2/JjY9CvQpPdgeKj3oZic9DPonPYycJz0j0B89sHsiPX3NHD0Pkhg9X2YiPZWOJD3vICQ9wMYpPWbUKj3pbjE90bYxPdU0MD3FHSA9+eoWPclkIT1E6RU94U4VPfSCGD3JaCU9X98XPaqYBz3wkP08QxUFPUKTCD0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Yo+XPYL9kj1orIA9zyRhPQ3gXD3nPWY9wQ2LPU8/kT3WMHQ95+BpPeRVaz2sq3U9Qsh8PZ+ZhD2oOoE9DiaJPVs2hT1sK249tJKAPbhzlD26+ow9ziKBPbiOeD1Z63o9jrF6PZ80cT2Aj3c9EHZsPWeabz2a32899KqCPYASiD2kOHw9xt11Pe/zdz24v4A91GqVPaC+nj0ZWJY94vOFPZvufz262XM9m4xlPZZmUT3r80o9FsdSPandWj1PjlQ9XYlLPViwUD2bxnk9EdyLPRDfmD2wb409UKtgPe/3WD0i03k9gxt4PWHPhT1YgYA9+kF0Pd4Obz1joGE98PxlPZIgez3Inog9jOuAPWDHaT11vGk9ZRF6PUY7mT08+pc9tF6TPa4miz36Wo092aqHPeQVcT3iE3w9xjmVPTrEkT1ono89D1+TPV3emD3UEpM9YTGJPaO+gz1Gto09UemNPRxFkD2wM5k9Ou6WPXfQmz2vTKI9fgKhPW35mT3xvJE9mOKUPTl3lT0Ry5Y9wHaaPYzxlj2L4oc9lESIPRwPlD0ELqM9BKWoPRdKoT359JA9dqWNPSa6gj1ZToU9tESJPYQqkz0jB5s92OqkPWudmD2ngI099K2JPVBTiz25fYc9OkGIPaUUij3484Y9szKIPa1Jij0QKpM9NRaRPUzFjT2ibJA9qz6TPbufkT1HiYw9oqqOPRWrkD3VfJY9coyWPbxplT2Y1Yo9WUN9PW9mZj2uLl49xTdnPV1beT2i+Xg9oKGGPZgqhD1aF3s9RB5+PWeLfT2GKoA9En+FPSn+iz1Sj4Q9rVqAPV9ChD0XrZQ9gRSfPRIOoD3nxZ09GxOmPdlXpT2xH5U9EPWWPRCRnD3mcJQ9goiEPcz0ez183Is9wEuOPdSqiz0KqYo9+HiLPe04ij20xo09hcKKPZCQkj2Ud5M9ZXaRPUvfiT3RI5A93WSZPYkjlz2B5JM97b2bPSuElD0pHog90viRPWLamz3Mn549x5aSPXbhhz1Ccns90xaCPcBRiT0Li4w9X3GQPZVJmj0ZUJ897qGoPSjirT1yU6A9czejPYfXrT2PEqY9ETCoPZxJqz1C1qg9hlWlPWHxqD1Rtac9O52uPQD0rD1M0po9zs+BPVLTgD1b5YY9nviJPdqujD1hE5U9B1eYPUKwmz1NUJY9mcuLPZ+NiD3fZoQ9jP91PR+CaT0LjoM9CTqNPb7khD0WInM9U2JjPcYGWT2Sr189EmFxPc3tdj18HIk98qCLPfaYkj3fTYw9qKF6PfkQcT19To491kGfPYkFmT1JapI94MiKPblvgD1O4l09y0taPV3pbT14IIw9trCSPfNdkz1kBY09YW2HPZ8ZiT0q2I09yFSJPe2Cfj1jF2w9GaBvPUVkcz3Dz3s9V5mBPaZIiT3rQog9D3eGPaSNfz0cAHo9wluAPV/khj2+yoU9ob50PSbCeD2QnH49UIqCPfuekT2a3489mbSJPbdMhz0qBZQ90tSbPaHxqT0zfZ49fkmSPcU+iT3CGYk9X22KPdLhhz3cUok9JpKGPTUVez2jBW8989FsPScuhj2Qso49j9+OPaiEgz1UOX89OlZ8PQ5deT1frH09Zb2BPT5chD3+6Yw90tePPcEhiz0PaIU9VkyEPfjYaj1bL1I9ACNRPZjBaD2c3lw92/5fPalxbD0ZPXY9jUt5PbOWhD3LIn899z5hPSr6RT2t3i49+ZoqPQ18ID1p1yw9R/QyPSCtND2VKDI92QIvPRcOHT25qBc9WHMOPTDHCD2BsAI9rc4BPZj2Bz0OkRc9CawbPXsBHD32Sik9lN4sPY7IOT1hbTk9y9scPcnfBD0P6QQ92isFPXoT/DxP5NU8aVO6PN/VrzyElaA8fDChPCDssDwFzrE8kjSfPJ0A0jz6E8U8gqGgPO6Tmzw/Oag8CLuoPIlHqjyX8Kw87TyrPH13nzzuhag884KpPPLftzw5qdA8kqzEPDrq1jwNr+U8PC32PPIU8TzoPuw8zinjPD9I8Dw/2eo8vQTxPGql3TySQd889bblPDRp/zzyOQU902cBPeu1AD1yQwE95Q8GPSXxCj1dEQE9TcYAPYbj7zzoEOU8efzLPLU50jx+N9E8QDrXPD2j1TzHedc8cd/cPGy0zjwEktk8qhjoPOLa5jx5gOE841HWPNu05DxONfw8wPDtPL/IzjxMc8g8F1G8PNNHujxl8b08md/BPKh4wDxNhbk8i7ijPDjprTwIVrU8Rui0PBDFvDxb+MU8KV7ZPI1j4DxeIuI81IXXPLyh1jwsEt08T6XrPH5u9zwPmfA8EGLtPK5L6TxXB/A8sZLwPMhj9zwSHvA8ulnGPMJeyjx3v9c8wdbhPO0dxTwcy908GresPQTaLz6cwj0+SUU8PtAyMj7z/DA+Z/ExPiadJz4/2Cg+Zw0wPqrDIj4IlSI++ewUPqkzFz74dSk+Ogo2PuJrID7pDDU+OnM9PvmAKT4g1ys+1U8gPkbhGz5GQSU+NYEgPr4bKj59myw+9L4pPvfjJj43NB0+Uw0KPh9XCT7RYg0+hlEUPoPwLD7t8Dw+jeIgPs3BFD6w/gs+ixwIPt83DT7MYQs+AP4PPgG2FD4xJhg+M6sQPgCPDD6F08k9isYoPXEb7TxuzZY8BjmoPF3Myzyjj9U8ONHjPIgV7DxDSto8IsKhPBtViDwEbZY8gBa7PM21Vz2d8q893QBiPattHT3S6os8sLdvPOqzizx5h6Y85Z6yPOwvvTysPL48wOuwPD+0sjysx8A8Kh7HPGlQyDzNKtI88tjJPB2UxTyeFM48gXrlPJV32TyN8L08+me2PITqtzz6s8E83DrePHkz4jx+Utg8KaXWPO/I5Dywoe48/4zhPJjZ7jwiEfE8o4TrPCNQ6zzrsPA8r4b5PIJ07zwd1vU8BYoCPcdxCD1B1w09c90MPRdsED3UhQs9k44BPXwd+jxKod88XA7rPMTb+Dy+xgM9ZXULPeBaFT2hXh492a0VPb8aAT0EB/Q8kJ70POcx/DxmXgM9g9IIPSr/Fz10vxY9lXcOPWYgBj2wigo9JG8mPalvOT1pLCM9HIsPPfaLBD2JJ/Q8qbjxPAvy/zyuVws9ZGcRPYzGEz3aKg89HfENPUMQFD09Kis979YzPSJ1LD12ZSA94oYdPcu7Hz3BFhs9tlkVPRObFj1+hho9yKQZPU0zGz1GYhY9FzITPZmuFT3djBw9fHAlPQ1DKD0+diU9OOkcPTxAJj1RUy092nEqPRyaHz0mGhQ987kMPcBjEz3mbB8923EoPaUBOD2UgUA9flBUPWnoQT2QcyU9wu4WPR4XFj2OiRY9CMUaPVaVCj2PtwE9D5H0PNiAFT3JWyY9v6E8PSxTMz2oehs9xocgPVGrOj2nvEU9tBQwPeqKGj2gcRg9BzgcPTalKT0oDy899UkuPTl+HD2//Bw9Lc0pPeStMD3e9C89s4k0PZxNKD0mdCI9tu8mPUyCLD1Wti09Nbo8Pfl+Pj2LuDA9voI5PbokOD2LbC09ZigbPdJwGz2Jehc9V3gbPTF0JT2NTyg9fPArPf8tLz3WHyU9Q9oxPUm4MT1s/C09E7QTPfVOAz0oUAU9kEwCPVsy/jzobQI90dEiPd5EHj1SBw49VjoFPbnqAj0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH84jVc99NlcPYTlaz0IM209+xBkPfSLZj2e92w9+YSDPRyigD3mPlo95s9wPSl2dj0YeW4912tOPUyQYz1DBoo9C55MPfyHVz2WanE9FJx0PQbLgj2Mkos9UGyDPU4WeD1NwH895DGFPdp8gj14IIk9yNKBPUw/hz3hWZE96cmkPZ3FkT28fIU9KX2CPVnZcT2YTm89wkZ1PQlMdj0e2Fs9hq1ePZ6Bdj2r+3M9XhFkPX3DWz2dqms9kj12PeFkcj04XXM986dpPUkXWj0CzWM9rPWDPTxvcz2utmY9CoRPPeheUD2TIGs9bStsPTMYgz3Df4I9/mdzPYeVZj1zwII9kfKHPelfbz0hGHY9hMJyPfvGbj3/fXw99meGPb3jfD0eY4A9FQqGPXL3jz1voZI9pYubPdEXnD3q7Zc9aGuPPeLmjT0/AYs9e4yPPQqzjz3Wdps9lOKqPTbtnj3v8Y49V3KIPezIhz2z0YM9X3yFPa9ljz3Dy4M9omh3PU8Rhj1iCJI9Rh+dPZghlj32g489sKuUPaxHlD1ZH4Y9YJl+Pbfxgj3PgI095iiTPX+alD2/RKI90+ypPWYUmD1LwpI9CkqMPQ1DiD0DX309ec+BPWL5gj2iMn498ytqPR4Mcz1lhYE9+7CFPaoFlD02ep09wqWcPcSnnD2Ia589E2yePYQdkz0jVo4960aYPWuKlT3y0Ig9uEh2PfuXYz1s1nE9t6l0PbRocD21AIQ9mU6EPSpVfD3KcXA9ebBkPTLGeT1C44Y919WCPX18jz2Wbo49JwSKPcDyjj3dYZg9nRqgPTyJlz0Dpo49olCDPS3afD2FF3g906p/PX0hfT3OoYI9IP+GPR1OiD20cZQ93KexPauasD1VxJ89PRiTPUk3hj0fMX89UiWIPYGfmz1cc5M90AKNPc0WhT2VHIQ9lM6HPUWohT2zAoM9ixOBPYdMhT3RioQ9xMmFPdm8dz1/KWQ9EAJkPfClbT1CUYM9iYKQPVImlz1wp4099S2OPZxAmz1a/pU98xOYPfSylT10Apk9JbyXPbrKoT3u7qE9peigPXUtpD3avKI9xjmmPU2upz3bHp495z+hPaZwoD3bx5A9tMuBPRiAbz0EUWs9PhWCPRMAjz189pM9C/2YPYoJnT3uHpg9D+qGPdbQej1evng922NYPcPMVT03kFc9kcxgPQ/tcT0K6nc9r8ptPcd2Uj3y9FA9bWVuPQPRhz2i8Y09lEyWPYrplD0VJpo9zGScPRxHkT1psI09xqaKPWr5jT3JBIc9NZN3PVCqbT1i0mw9JRtwPdPUdD2kCYg9H7igPThKlj3vZY09QWyJPbi3hT1LuoU9yyl3PVmbbD2slGw952CCPWo7iT2Kr4o9lu6VPRK3lj2kX5U9PuqOPfaHhz3Aj3M9IJqAPcX6ij3tgos9xfuMPXZJkz3mRIs93NaFPauOhD2pvIQ90Zt/Pf1CgT0nR4g9TIahPcZ8nT34v5g95YeIPXNBgz3wy4Q9WnqMPcyZeD1NKm49jxpqPb/ecz2PG2s9M211PYAkhj0ljog9RXeEPaBegT3wRm89dvJwPfvTfz3RN4E9u9V+PbgQfj1TCYk9rNyRPfV2jz3SG5E9lq+EPWUidj1/VWA9CKRXPQRHVD285mI9Xi5sPaLIaj3nJHw9EwyQPW2GjT3NuH490gxuPTWuXT3frzc9GDklPdF2Kj0EUCs9yKInPVtMJT1gqyA9smQiPR+DIT3Q/RI9kg8TPTxuDz0muw091tAVPcyYFj2W6BI9/FsbPSBTIT2peC89YHg6PZKHOj3dzzM9MnAcPYIh/jzIJPY8x+3hPARP2jxuIb08tQSuPGKXqjwej648xSOwPKuqqjz/YbU85/KuPGqnozzEep08p8mePNrQnzzYBqQ8W2CzPGqwyzw60sA8D/SqPAnXpTzizJs8w72nPClzqzyka7I8FCvGPAOG1TzXHQE90u8FPWOD6TwiMs88de/zPOmEAD240AY9QwkDPRAd9jz8udw8JKTxPJYi8jz+kPM8skD5PGNk+zx0JAc9oOX9PGXr+DyqNfg8EaP0PFH55jwtC8s8TFLGPJOryzwSSNk8mxjdPPss7zzjOs08XqPDPIzr0jwu1OA89MHkPIxP5jxjIec8IPXiPEf01zwV4MY87xPNPHspyzylKMc8/dTQPDBWyTyAisQ8PkvEPIcuxzxsRsU8urywPN85pTwwrKw8ho61POOjuDxECcw8Oi3VPBkx2jxSltU8vYfOPAilyzyXtM085InNPG9Y3zy1RPk8Nlz4PEhW8jydRPI82PfuPIhi5zx7Etg85oDJPMw+yDyBJ9o8mp7yPL5FAD2XadA8YVPqPDNUxD2UlTA+CmE6PmtNNz7D2is+EjIbPvX2Hz5RNis+mT8wPgUtLD4NAyQ+BCsiPpUiGj42RBU+MPcQPrYWHz5oji8+ImsbPmalJj6yWSY++6UkPl0SID411yI+0IkrPrV4Hz4EjRo+gu8cPhjDGT6iAhY+R40RPnMjDj7U2QM+sU8PPtntHT4dWS8+vc4dPjIaFj78VhI+9sMSPi2qFz5hZBY+BGsUPu5dHz5KHBQ+cbwOPjtuAz5IssI9i6GBPUJznDx7Hmk8hkF0PH4scDwfoXc84T2CPHzRkDzYg5w8x4uZPFDzozxIdOg8SHoyPfsq0D3NbCQ+PvQ7PrD/Kj47JXA91yS8PKNqoTy8qKU8DgW0PISxvDwdK7k8mcCvPMnPoTxpRJ485rikPGjbrTzNdas8BsanPHrHrTxobbE8yLC/PJEtzzzyO9c8+6TOPF48uzzeLLU8/L62PK4ptDwVL708EOjDPKwnxjyrIMk8tb28PAT71TxFogE9uoAMPcMOCz2ECgI9WgHsPGv7+TyMKgI9MTYCPQnLAT3rcAQ9e1AOPU9gDz22SxE9LsICPdLM+DwYtvY8AJrxPDin8jxE+QI9gV0SPULhHT1ABys9a+Y5PSC0Hj0V+w899BAQPfYAET3orw09JrYNPTooGz0nyhg9GLoOPRoMCz0ePhU9kg8ZPU9hGj04axY9PXcQPV+rDj3Pnw49JxwPPSlOCj02TxA9GHIQPYQpED3VhxM9ZnoOPceYDz1o/Bg9oBYoPQDjLT3cDCQ9scYVPY3dFj03eBE97OkPPcdrET1qRQ49YZYJPTEWCj3yRBI9j/gjPQhLKD1QThk9Kh4bPfoMIz0QgR49hdInPXehLz2s1UE91FI2PVvJKj0mSyw9tAcoPezfJD3rcRs9HRYZParpFj1DPCY9w3s6PZW9Pz3zFyQ9qjYZPX29Hz2jgBg9hTkSPamnEz1yIR89pckaPTSwCj0DixM9yxsxPSONOj2at0I9iAkzPSe4Jz0YtCA9X5MdPSRMIT1b1CE98t0WPYi4ET3LOBk9RRQjPW/9Kj2aByw9pFcrPS/9KD1heSc9dQskPX2jGz0n5ic9ehszPfMoMT11+TA9nEAxPd8fPz3juUs9vBZPPUpBVT0lfUk9DX1BPaQMJz3pqSE9ScobPRP5GD0HHR49USUgPZFBGj0WGCM9Rko9PvBrCT9zLZE+22ktPkOBHT2xgxc9vx8OPWU6Aj1DUwE9DagDPRKVFT30PRE99XUBPcLlBj0PBAo9AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1iIwTxFEx49rCNkPeuKaT3aH4A94IOKPe6oeT1/JyQ9Oo9FPQGKQD3+5ko9EXtbPQQleT2pFWM9Nr5wPVNogj2Kuno9D0VOPfnCYT0GbW09BMR9PTKjgj1zKnw9AsSCPajNhj2tApM9czeWPTUAjz2r3ng9X49rPZfkZT2nHWI9p69iPWEZYD0xIVw9LKtfPf7Daj1JelY9I4tOPW6jTD0S7WE9IJVqPWZCcD2kOIw9H3qMPc2Vij2idYc9RQGAPUE2cj1nHmA97BpmPbXXcj2anoA94+yMPTZzij1p54Y93T+EPQYbiD0l3JM9S9yXPcojlj2xE5o9veGdPY6roj2oXqc9/wmNPf/nhT3Croo9ngGHPUsPez3UjoM9I8eFPaSOfj2Z44M9djGDPShsgT0bzH49NMaEPRbDkj3h/5Q98zaVPU8sjj3stIk944aEPTyfdz2MWYA92qyAPZ2Dgz3Ij4o9+M6RPVb/mz2rgp09cD6gPVttlz2WJog9pq6CPckYhj2mpIs9Sm+HPSmNeD0o4Xs9E393PQiQgD2peoE9FeuGPYe2lT2jMac9CcWvPYc9pz1YmqE9ajafPc2omT1IvpM9XQOGPYA8ij1FQ4o9FsF+PWJHbD1JX3M92t5vPdm6hD2+Hok9fMeNPR/cgT1SdnU96LGCPdg3gj2C/oY9+iaOPYn7gT033IU9NJOPPY0nkD0ZUYw93VuEPR/6hz3hCIw9/L+LPSkMij2y/YE9KAJxPetziT23Bos96YCOPeQ7jj1ESY09o1aQPUOejz0C0pQ9E66VPQPZjT2zOYQ9BneDPaj+iD3PSIg92/6JPdx/kD0i5pU9gumLPeXxfT1q43A9VXZrPe56bj2qH3M9WEKBPTi1iT3+A3g9cItsPf5DcT16JIY9fwqOPVuKmD2VL589NxaSPWaihj1D7YQ9A1BxPfejgT0skY09f36YPQ7bnj24RJ89vJCcPTTNoj1s6qQ9HAalPYEJpj01Q5k980eaPc1Tlj27n5A9nX90PffcYz2k5E89q9tLPaZHcj10SIg9j1B8PTjNcT09p3097S2PPUbviT0DMYA9iNFpPYzyXT3u4WQ9X9NiPR3SYD3/R209Ucx2PWHHbj0iI309zzqGPTK7hz0Vmow9fAanPTAwsz2qvqQ9kiGnPYuznz2IPHg9rJBnPQLyZj16BmU9IbVZPeMiYj3yRXU9goF7PbQAeT0KQ249uN97PQc+hD2jtYU9EjWFPYQNhj3T3oE9QRWGPaLNhT3Sxow99tyLPXBIlD2yGoo9aoyHPaRTkT2B84s9DgaLPXyVhT3wgYA9H8R5PSuwiD02Zpk9YXOXPXRumz2pPps9qF6BPahhYj0ACV892JdiPem/dT0prWg9nRZhPVuGYz2bJW49DQxxPZbPdT0TYHE9JltgPVGvYz2ftV89S2JdPROrXD1VjG49dcR5PVDvez263nU9Cj9zPYwpZj2xdmg9Lh5zPXMZfj3Qvnw99kV+PabngD3C64M99imOPf+Ilz3gApM9CB2QPdOHgT3sXnY9e8KCPWQ4dj3EM2s9VQBrPWB6Zj2SSVc9nDdfPUerZz3V4Wc9VkVkPV8RUz1qvD89hk4ePdykHD2KBTQ9oisvPa01Fj2kWhU9jUcePbIDIj10wBE9XAoSPSRbHD25Jxc9h3kWPYv5Jz0/xCc9LEIlPZPvKz338z49wd8wPS5ZGz2ZBwo9/TEGPTX1+jwWguI8UhLcPAjX6zzDsbI8ZXu3PKlTvzzwxqk821y2PKWixjzVzLw8YAawPJn+oDwlepU8lLGYPNdEkDzBSY48eYqUPEliozzYWqY8nzqkPD7uozysd7E8it+oPBb5rzz9NLY88Wm7PJ7J2TwI1eo8dfT5PH8K9DwhvOk86eX3PPKS5zyz1+o8yHruPNMn/DyROPI8k2TiPCFz7DxaLOw8KCjkPFsl7DxoD/M89Jr7PJCV5Dyf3OM8SkPXPG8yzjy0ltQ85/zRPPlWyjxTxso8pDbJPK/nzzyjtOw8hoPvPEda5jzP7N88O+3HPNJNuzyW1bw8vzzDPJAIuzxBVbY8Qla9PIpjwDxAjLw86VfOPLje3DyhX9o8qC7HPMSuszytyrA8WCS2PGUEqTzyrKk8ZvywPC54wDwm2s08n6PTPHZVyjx35s88h2HPPDkizjzFSso8usbSPL2d6jxVpfs80R38PCWb/jzJTAM9uO/uPBkm3TwUSNo8U+7BPO01wDyDvMQ8sZ+/PFJ45TzFeQo9URsBPe8a4Tyz1ks9ll7NPc41BD6xvxg+dOEmPuz4Mz7JFCU+NV4rPkfoOj6H8TI+VbMkPkSCHj6iVhg+bVQXPs6NHT5qJRs+j+MePsVrFD4eQx0+8N4kPjpbHz7R9R8+zOUcPm3kLD4Yphs+IhMGPqRIBz7LMws+WZcOPk25Gj6lehQ+7eEXPrCOGj6Enhs+VlkTPmRhFj4gChg+6FgYPqthGD479RQ+mAYQPp5DCD6DFw4+uUcMPlph6T0Bil09jyXoPERS3DzeE5Y8kWOJPM+phzwuL388/FaAPAaihDwJD4g8NSmHPPuriDyy1408f+SZPPnKvTyDVZk93sASPjkKJD6+56I9q7z3PN/32DydKbk83Ym5PGlpuTx7WKw8PMKvPBykqTz/aKQ849GcPFSenTwFhKY8ZBG9PL9PxDyP6s88AIXaPPRG2Dy6A8s8xfvCPIslszyQH6A8UrKfPKW3pDxcDac8cKO7PBjI1Dxx0Ok8SBvwPCqf5TzcxtQ8LHjPPBbi4Tw/wPI8yagAPVmzAT3jzQY9eQsGPdbTAz2upwQ97U4CPQAjBD0MRA89b+4TPfrG+DylG988H3rePLuo5Ty7hgA9G/EIPdSjCz094Bk9m5ogPQcQID2H9hI9JoolPeeNIz3W0xs9C/sWPecMGj3PlB49i/4bPRlgJz1p5is9G5wqPcpMDT1p0fM8cXr/PPAFFT1oVSA9VYclPbN6HT3nIxg9xC4bPQHcGT39GBg9GicXPa/lGj1+qxk9GUwRPYbxED0cZBA9WkYLPerbET1JHBo9a3kZPdxnHz2IOiI9lXMfPSibHT02RCc9DsAnPUeYJj1O9CU9DScaPf8WFz2inyE9vHQePeCfMj1y1T49nKE3PS3TID002Cc9Yvo8PdS0Nj3IbjE982woPXYBFz0b3xA9TnMePcHDHT35Rho9U2cfPXDrID2HHCc9oyQfPedkEj2wXBE9dHQgPYkeJD25EB89tUgePWS1Jj1lqSk9nFEwPSiTJD0Qgh495Y8cPTTPGT24XBg9+hcVPY0LFj2Xix09lYItPQQYMj232y89NzgcPSlUJT3P2Ds9hrhPPfCyVj0wZFc9vOJWPX6XTj1uvEU9ML4/PcKrST25r089N7BSPVuATT35v0I9ruE2PTWiJT1N0x49Dq8bPRS+Hj3+yiE9/y4gPYCXFT0/3hI9i2YaPcUXBT70ClY+cvG6PW3Kaj0l+xc99hoTPU4qFD3H3RQ9PWERPVh1Bz25CvY8B0HjPPw37DxE+AA98yIDPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+kxRw8jWA9PFffrTzj1Pk8gB0pPdipET0/JEc9ZAFCPfLJDD3lJyI9u3RDPX8oTD0F4lw9lGRzPQ+5Rz25rFQ9LVZgPVE3Xz3YpVU9YwZOPVU0Qz3Vl0c9lqpIPS8XTz3qd3A9KZRyPfZ/Zj0LUmc9iphqPYovfT0eAos9+FmKPRJAhj3TxYY9zr+CPRZWeT2aO4o9P4GCPda6gD2K2Y893daWPcR9iT1mY4w9NO2SPUXqlz05mpQ9TXyKPcKCiz0R7o492WaZPbX3nD0eAJc9keKEPZ7lcT0LnHE9KAiDPa+Bgj0zwm49qBV6Pdvuhz3c9Hc9cmGBPeC1gT2Y5W89oLxvPWGFgj3Vh4w9LoWMPdxJij2PeYg9QRiQPQL6kT2zYoo95TeKPb5Gjz0zV5w9MI2lPUhPmT0005Q9YneRPWhcjT1XaX895/98PZ/Lhj1rW4o9m++HPUAEhD3EPoQ9Yn6bPWFhkD2895A9tsWcPWGErT2kSrc9Go+rPTWJlT32WJA9iX2NPbkSkz0qs4g9deWBPYkbej32nm89/qpsPS/jaT3e54A9QGqJPYFrgD0VIoM9R/eCPXvRij06x5M9IcKSPaJ7jz27Z489hfiQPSLzlT2qbYI9bp57PYGSij0MFIs9HmKMPc0nij1Ps4c9VYSNPb/Khj1fpIY9OKeJPZWdgT2Xcnw9p3x8Pd8ygj2f+oY9GwKGPXbnhz3UL4E94J1xPTh+cD3ZFnE9ne12PULmeD2pc4M9DEZ9PYE1gT3rq4I9Ff+APYYFdz2/mHM92d5+PS/lfT2B2HU9hiF5Pdffhj0+1oo9lhuCPWOwij0O5pQ9ePqZPb5BlD0ja5899aKdPaw3hj0hhog9lNeKPaAHhj32C4k907KQPasCkz11Apg9UCGePZOtnz1sCqE9LWOePUgqlz0a84891pWPPbz2gT3enHQ91M1qPc14Xz0Nxlw9ZQJTPQ9FVD2emls9l+BbPVxoYj29wGc9nZx6PXOEij2NPIk9wnJyPTwzWz1fzVc9DXFWPVdvZT08Fns965mHPY6vij2psIU9gnCFPY7tkD0oBIk9bZKEPY12iT1iNos91fGGPe0tgz0/omU9QYlSPWdRYj2+Umg9sfV1PRbJbT0HRWw9pRF+PdFRbD3KBGQ9giRoPRCpdj2Tx3c9ZrKCPfTEjD0lz449PyqOPUaajD0F64c9SoiTPcaulj0rBJM9EwFwPdlhYz2GBXA9wrV0PdQcgz0/boU91rOGPensiD0wgYs9FoWBPdRFaz3PaWc9WMRgPQ9FWj2N0Vk9v0ZkPWLSYz2FVmQ9u/9ZPe4XYj1AK2w9fq9vPV0Ydj1+jHc9csZrPX7zTz0cXEs97iJGPXuKSj3y/009TmhaPbREYz1axlY9WbBOPeehaj0OBHY9KBx/PdtbdT2sdIM9OO6GPXq+hT2D/4Y9Lzd/PQaHbj3y6Gc9btlkPQmlZj3odW09Sv5oPX9HcD1uqoY9FcODPYY6fz0HUHM9WgBVPf7YRD3h3049vY5YPSL6Uz0VuUk9EFs6PZp2MT17Syg9T+QiPYIlIT1+Kxo9PZASPUtVGD0vHB89wcYfPU8aIz2Uiiw93+EoPS3aLT1H5jI9HG84PTWTNj3iUi49phQlPaxFID2r5yY9OC8VPbZAED2Hev88zNXlPDrgyTwOnMY8OhysPFQIszwZSr48Px+0PIhBrzz0rLY8BqqxPG3jqzxPcZg8B1WUPHLCpjwg4KM8v4ufPKsMpTxk7Kg8FeOePDM7pTyL6KM8aW2uPJlhsjzqcbg8Ic+yPDHTsTyKKLw8mEnjPHCt4TxL1dk8IabhPGLz+Tz2cvM8H9ryPMfz8zxN2vI8rMblPMV55DyuvfY8vvD3PLkv8TzOVvI8N8LnPDr+4TwR0fY8v1z2PCe25Tz/e9c8TyfOPLhk0jw0v988S6rhPGj02zxSjtQ88MnIPNSQ2DyDxt48JRnVPC38xTwzNMU8JtXLPFDNvjw/uqU8romiPEEGoDxD1Zs8JamzPKcaxDzIE8U8Ah3MPI3Vwzxvyrs8kSPCPFersjw9RbI8CQe8PJVevjz4qMA8prC+PO5nwTwHkbU8ZQ6/PK842TyHUts8ZMvdPHJ+5TxN7/c8O0UBPfW1Bj1MEwk9ozLvPJt44Ty+NeE84NTcPNxowDzDgr08NPvlPJ96uDyGvrc8NNvlPG3kGz2Y9gg9yJICPaN6Dj3FJBs9A2ZYPSjVvT045AA+NIJAPqMjPz7eLj0+N/krPu1zBT64qKU9ihWOPZ9huz2e0gU+FuoBPtR/Iz66kRM+W+c3Pn7ZMj4xcCI+YfQXPuR9Fj4TvyA+wpAhPsq4JD7CaCM+fqMVPjtEDD4n8wk+FiYMPtEtDj7tPAw+kT0PPgydGT7vQiE+s+YdPmeHDT6V9Ac+2f4IPtseAz4deQ0+wsQgPlghJD4nNhg+sBa8PUKcpjwIoYc8U0mVPK9PmDwyspM8S2KYPMFllTyAvYw8fy6APF1ieTz/L3088deIPOjPlzw8Xro8qNQ0PUjthT1ZTVk9j+3cPP7stTydJ6o8MdugPEP8ojwlwas8KB2wPKi7qDwEIbE8xyyyPFnErDzHkqw8h0+7PNek0Dx9Ytk8/anSPMuBzzzjP8Y8QIq0PG7AsDw0a7A8loOyPAgotzyLDLk8RG64PKpjyDzSz988h9joPNJT7Dw6IeI8SgbJPDApyjzhTtI8Bk3hPDI86DzgKvY8oJoDPTvmAT0I1+o83dLRPO1ayDymato8p1n1PN8G2zzTY948MxjzPDjI/zwgWAc9HXQLPaP5DD2+MwU9KwsFPVXTCD3fpgw9KfAMPQxMGT2a8x89xIoTPbpCDT00pRg9+qsWPcp5HT0ZIxw9P/8NPUo1CD262gM9ERf3PDim+TwHXA89dGgcPeTrHD1cCBs9q7skPWGUHT3AThY977gVPQz6Ej2n3RE91v4SPTDCBD2A6QE9KqgQPVbvFj2iEyA92CshPelkHD0jjBc9Pp0gPX1NJT2KijE9Uc03PRjwKz2sQCM9xdwdPTBzGT2JMRk9ypoYPdXuFD1qaSI9qw8qPXzEMz15SDU9pIQ0PXSCNj0h2DQ94yY0PfR3Iz0poRI9b+ILPf6AEj2nPiA9UQEkPZDcKD3znBI903sUPbxEHj2VfCU9+MonPdmeOD2RRzE9RzMfPXqfHj3q2Cg9j9YrPfATHD1RFxM9mBAQPXc1Dj103Q092MkNPTUpDj2vGhI9neUhPT6dMD16qzg9Qo84PWFBLj23rzo95GNRPQh6Vj191l092gdhPUpjZD1c5009CC06PeiDQD2M3EY9exJFPVVlOD0jeDM9ffIrPcAdJj0PzBo9gTEZPYPnGj3y+hw9JuQWPZiUEj1WcAg9pPkGPTD0Bj13CBU9jhAkPf3lHz1JAyA9YQwgPVwNHz3JVRk9Hx4VPW7PET3XRwY98f4EPWUZAT27Ffg8GQ7tPK/36TwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf88tmDvPLZg715BDPAcAzTzqjRU9W2wgPaLIHj23xc88kpuVPJ0fvDwEuhY9xHA9PShIUD22Fl09RddYPXBfSz3SEGI9hsh6PXgXYD0Sc2I9DatnPckwbj014Xg9+HeDPbiuhz0wBoU9ZBGCPetjgD3gaIg9rMqaPaJtnT3jI6A9GBqcPcTfmT2u0IY9LAyHPdi+hT0uYIA9wuN4PRmDbz2BDWI9Q7hmPa+6bT1XCnI9+qNpPX3oZz15EX89Ge9/PUTMij2MmJQ93aCLPcmUiD2zg5Q9v4qUPZAPlD2t45Q9SYOMPQruij0aRqA95gmlPQxzpz145qg9cIqgPQvylz1IHYk9azFuPQA/YT0k8GU9qyWCPZEVhj1z5oA9en5xPRsJdz12uYE9kbyOPcdTjT1sGo493YOWPYS3nj0tKps9EteYPZ07fj1jdG89jMWCPex4gD08lXI9AZx1PREEgz2CBYM9x2WEPTfwhz2YOYQ9DXaGPWxJhz2vlXc9i2hvPUbbeT2lEXk9cU2LPRdNnD1TBJ89CoaXPcqRkj3gkZA9goKRPRjEiz1UrIE948J9PSk1fT3bEnw9H9aAPeAShD3o9oA9XWWJPWe5iT2lQIM94HR/Pc2rhD1HHH09VaqBPWaLhT3F5YE9wZxHPX7PNj0qUEc91Y9gPd5jZD0/hms907RgPZeoYj34uFg99V5WPQlIWj0fo2Y9GWOGPaG/kT11mJQ9utibPdm2nD1WLJY9HgGQPYi9kz3C/Jo9C46cPX0knT27po49JhGNPdhIfD0fc4E912eXPQtInj3CXKk94pKfPbA/oT2mLpw9V8mYPUdomj06pqA9b8uLPbTuhT1CPYo95kGBPekyez2RQFs9W19FPRBdSj1FNFY9Tr9fPRsZZD0xyHs9fEl1Pem3cz14XXE9Wcp5PZ7rez0PfWs95shfPXogWz1+SGU9z7p9PZoTbD1OVoQ9u2aUPSp4mD0iuoo9F9KBPXUefD07Zm09y55iPfYnYj2We289o1CAPXUPgD0P8Xg9QS90PbSZbz0Y72Y9blRtPaIGbT1JlGA9SuZVPWqQXT0lIVw9wL5hPep1Zj1tL1U9q6xgPRH+gD1hJJE9jymRPUAzgD1wq3Y9agR5PQKRdz2Zqng9Mzl/PVzocz3h9Ws92UR5PZMwhD1qRYE9Rih6Pc/EaD2c+m890h1zPbPhYD3w0Ek9TUdHPZ0OSz2/60U97X5LPWVcSz332Tk9FHA+PUg/Yj2zjmk9udBhPWpqVj083GA9shdgPSyxUD0JaVQ9dSZpPR1XWz1ahFU9fD9YPRXOZT3yqGw9HIhiPWNeYj2KaXA9+bZkPY6Hej0+Z3w9Kid2PXQ5aj2Nj109zTZgPZBZXD1PlUQ9JvVDPXGhVz2XpmA9yE1ePaqNUz1sSE09SRFhPfsihD0jH4g9F3p9PQFhRT0K4Ds9ZwQ9PZRmOz0q+DI9XaM0PTW1Mz1N8iM9joEZPZ1dJz19JSs9QssqPcQ9IT2Sbx89vUsdPVV/Iz2YoR49sZIoPYfFPT1HcDU9XdUwPQgvNT23VDE9NmQlPcc9Gz25yyU9WjY1PZvMGT2WwhI9PKj8PGZn4TxU/MI8bNyvPA5Hxjzd/Ms8rRXLPFrDuDwKiKc8kq+YPDokoTwbD6Q8QnSoPLt1nDx+wZY8LsmbPItBljzV/ZY8X7WUPMgSlzyoK6g8R1KoPOlGpzzXy6Y8RGazPFrwvzyZCLo89Ku8PPr5vzxkCso8BNvRPG6C3zwmpeo8Mt0EPSexCD3E2gQ92J/tPK+F8TwapeM8vnDbPOMn6DyTA/E8Y6L0PLHg2Dwc9uQ8uZf3PD4vCz3UVAI99GvpPCN43Dwyksw8BHfdPLWi7DwvFuU8n13ePJxy4Dw/teg8A0fTPMkayTxNBcU8lPHHPHNtuTxUkaQ8RSCcPJmTojwOrqk8XEOtPFC1wjzlasA8eGGpPPqosTwcYrQ8qPKxPO89vjykr688y32+PHUu1jzdb9E8Ui26PH/VrzwAALk8ZvTPPMwNzzx4S988NVzsPJOH8zwqif48VrwCPWINCD06yQM9MeDvPKlm3jwj3Mc8mMnIPGwA2Dy0keU82ZbZPA0UcD04/o49JAC+PRBb3D0I+f09E2oAPlh0iz3zT588HuuRPHvWljzZf8I8g4cfPXZ6pj1YMbQ9EXSsPceBhT2DuA897Aq0PBKWrDxrxdo8uDMDPfPVDz1DjUU9VGWKPZXLAj5VnNI9m4qhPRD7sz0o8Lo9RBLiPa8ZDj6fORY+fUgTPoUk7j0rGqw9gSxnPQIxSj0z7jM979suPZ0rmj0G1xA+LJ/lPQZ34T2azNQ9zD62PcoGsD04LbE9ZZCZPQ1ZkT1LG449+5WLPe7kUT3aB8c8iM+1PHaHtjz4Rbk8tfS3PGYrszxmdKY8JJKhPLBxkTzVr5M8gAedPKaDpzzRb7I8VPasPEoqqTyxtqA8DXWhPGZLsDxD97U8f7GrPHImqDyxyK88CUSxPJZZsjwZErQ8Scy1PHLruzyLqMk8653MPGvV2DwOTts8warIPAOLujwjLL88pAjEPKOgxzx6mME8z/K4PJJFyTxRw9I8yX3PPK/S0TxeoOY8XVLvPJYL1zxjP9A8j/jKPA+F2Dz7TeQ8i5b0PCGS+jwhivc8HwcDPaKt+jxHg+I83+3iPD1p4zwscuE84Xv2PA+yAT05Lu48IzDnPH65AD2ykAo9HcgXPeqtFT16jxE9/moLPTWTDj2nExI9GEAPPcXDET3taRA96WgJPd749TwB4ek8nLX1PEYW+jw5tP88bMX3PN718jyI4/I8ToYDPZwR+Dxr0P48OIcJPTB7Cz31RAs9hoUGPdOgAj2eNQE924oKPWjSDj10ZA49MukMPXytED1JzQY9vuX4PPf/7Tz/3e08Q+4MPYVNDz35kA49p/sUPXgvHz0FqiE9UucYPclQFD1wKxs9jSocPXR4CT3mawU9YFMNPejFCD1PjQw9PjYXPeiXGD2OlBk9TUwmPSwyJz0LLhw9xH8VPWqfFD339xQ9af4RPWb8FD1/7xs9/oUiPRQDJT3YZSM9sPsaPf1aID1LKSM91yA1Pa1HLj0YESo9fXEePam9IT1adiM9o/QYPfYaFj39lgU92kkGPZyHCj0UEA89IeoSPU05FD0qSxo9Ez8nPVSGLj1Pgjk94Aw7PSwYOT2Nnyw9/e4xPeFtPj2su0Q9wz4+PVmQOj1myyY9ouIePeZ9HD1NayU9A3c2PXrrNz0QOC89pq4hPbcVHT0+fCc9VQ0tPeAcKj1Eqhw96K0cPZoyDz33Ygc9k9ECPYb9Aj0p8Ak9xWMWPXbiHD2kohk9k00kPfAIJT2fgx497bURPZSOFj2aIhA9YbYIPal8Bz1WHgU9xg4APaRH4Ty51dc8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9umng8QV0RPXRuQj3jeTM9xAE+Pf+mXD2Jlmg9trUiPVC1TD2Ln3E9mB9MPUekPz3GMl49U75zPW4qdT0S/YA9H3eAPWsogD3CtHM90jGEPfqXfT1yT3E9BZZpPRY+YT0ying9rB1+PbqGdj32FG49P/NrPT+7aT18dW09QJt1PdkCmT3MK509Qf+aPaT9mT2ckpc9ATSRPcKXmT3khK49p4GtPSEqnj1CtpI9efCXPT7nkD2cWYU9ejJ6PZvPdj1OmoM9RFqEPeQHgT0EEoU9vtqHPUg0jz1nvYw9n9GLPRh7hD1pYog9d16OPSsKhz3MgIc9l4GWPb6bjT2+LoE9isp3PVIJWT21JG49ygmDPTBWgz1KhHs9e2t3PZB/fD1gYYw9btGJPdy2gT1OJoE9gNB8PdYwfj0bXno9OuVhPcz6ZD2Gl34969+IPV5RiD2aQZY9TEioPSrSnD0elpY9PjaVPa6uhT2q9mM9XyJYPTJUWj1if2A9/gNiPYOXbj2bin49DHWGPWLYhz1Xx4c9QDCHPYG1kT2KuoM9L1R0PTyMaD3LJFg9UxJWPbqOVD28Pmg96618PUO4bj0OFmU9rNZkPQPyZT2MK189Z09mPXjdYD1kBXk9oIGAPeLahz3ERpY9OS6ZPbrZoz1hmak9m7mkPZKQmj1De5Q9eJONPZUniD0Heo49hzeJPXhbiz3rjZQ9w72aPbnWqD1D/7A9CLmxPXvVsz2uWqs95JqUPfAPjD1XxYs92lyKPaKOhT01NXI97rxXPSdKSD0B4kU9hlNOPUkoUD3IIFE9WhpsPaocbj2DiW49jc2DPd6kgj1nCoA9gYx9PeRPgj37r4E9o3NSPaHaST083Gg9GIh9PbkXiz14/Y09IcWPPUrAgT3aNWc9DERjPandZT2vYmM9uU5XPREeXz3CynA9Q7h+PQMQfT04yXk93p9lPZ2oZT0XsWY9Sr9TPU37UD0T+VI9971dPWM1Zj13n2E9vdJZPRFEPz2w1Ts9Yas/Pd+dTD3p/2M9vah7PdxIcj1/b3E9h9l1Pcirhj32Yo09tqV7PeNWhT0K5oQ9PniCPcV6eT1GXm89Qr51PeFNXT0SKlk9VstSPUA2Vj2SfFs9UCtUPaN8Wz1Ink49bZc+PW2EPj05LDM9a0I+PV7WVT2egVw9pfNpPQLacz2wc4Y9LKdrPVZHaD2FRGY9ryJxPaLBZT0lQFs9x0dbPTo/Xz0T42Y9Jot6PUXjeD0nxnA9DChtPVgscj3eJ4M9Ou2DPQmkcz3+aGY9mbVZPUU8Wz18U2A9I1BPPQHRQT3TQUU9fANUPfUlUD0M8D49R7A5PeOzPT2D1EE9+oJAPYrfOD0ZtyY9zSofPe+wJz3jRTM9T3NBPQIOPT2fay89ON8lPY9NMj1xxjk99HEsPWWYJz3nDic9LPswPQ1NIj0U5CU9DWM2PSgyMz3E7iQ9TIMbPfu6JT3jJUI919QnPS/sID1BjQg9rDoIPfLtFT3eORY9VXIEPSQzAT2Cj+w8t/zAPI+utTw9asE8aX63PLuZuTxrzsM8my62POiwnjx8QaA8RvKnPBGbrjyKYak8dg2dPLwenDwxl5s8jtOaPBBupjxGu608OamXPHPsqDyfYKM8QE+gPINbszzaTsQ8jq/CPLiyyjwe7+c8RPnPPKAVyjxP/tM8rrDsPCIJ8zyg+xA912kMPWkV+zxWIeU8JxTVPLOVzzywgNA8P7LhPNUB7DzdseY8QMT7PAgbAD3pNu48V+rmPAht1jzdadY8+D7hPH6g8jzMWPU8sob2PJ9O4DxfssY820HNPGH9vzy52Kk8ObmtPAX7rDxyk6k8voWgPDoDpTwtt7A8WfCwPKcwsDzlUKs8cp6sPGLlsjxdqLU8dLyxPDN9vDwP/as8SUS0PK8PxDwpA8E8b4PHPBX60TzPCNU8cWjIPHrvyzxjR9w85ozqPAKmAD2K1wQ9W+ACPahhBz28vgQ9VdPnPAi7vjyj2b48kCrJPIf9xjzuiMM8++jOPEUa1zytcns9AdubPeBHuD3DxwE+sOkYPoMDBz5JOGU9v9qlPJ9ahzzT1Ic8hr6QPMPEiDwc4pg8TJSfPFAxozxbmqU8l92gPDJnnTxfU5I8SM2UPN+cnzxhiKY8DR6fPFa9pjzzyaw816SmPN+mpDzkV6Y8S4yvPBWRtDx4/xA9PlRLPRPNZj2O5js9BTrzPKX42jxddso8nOq9PGXwvDzhMvM8mk8QPZIlAD3GkBE92DUJPS3a+zy3ufI8Q5P2PE/A8zydKts8kCPMPP31xTxWbrg8Dpq1PO7zvjzJTM88JIfQPIF1zTwn9dM8YFrPPJ2FxDyi0sc8AcHLPKNYyDxA7cA8c4u8PFgRvjxrcrk8eEerPFlIpTx7Vp88kBupPPGPtDxlorg8eRm7PODetzzNFLE84w6+PBDSuDyCWMA8pgvTPA0J2jzAbNQ88h/NPHUtvjxhBbo8NgKyPL1CrjxXDqo8EnCvPAhwsDybF788Vv3NPMAG1jx0MeU8pK4JPYgi8Tzkj8M8d0PHPCNezDzUE+887F31PMJOBT3X9Qk9LRT9PC259DyILNc8eJXqPMX8AD2+Igc9oAMLPTzSCz3HsRg92aYdPeBVFz1npQ496SoTPb5gFj0HKgo9XGz1PJU68jwB5/g8adn5PKVl9Tx0pBU9ciQJPe9Z4Tyspts8wNfePL5W6zz/8gE9KWQGPcCpCj3QWhA994MSPTRKCz3hSAs9e9sSPd6WEj1etAs97CkKPbDWAT11Uv08fd4IPR37FD09Jhg9evoWPRy6ED2gzAI9BqXsPCd+9Tyq1AM94+MGPbd4Fz1c1Rg9iDQdPdeDDD1cVRM9FOwWPfsbCj2LcBY9EFglPRYaGD2lMAU9eiYCPaTSCD368xA9sxAXPTF5Ej2MhhU9r50YPZ6qIj16nxM9HY8TPRkJFT3dlRM9nzETPeF2ET34Uxs9GgopPf+lKT1DTBw93v4YPcFcFT1CWR09pYkZPXprHT3seBg9YjwZPe47ID0TKh49ikoXPdGwCD3sJhE9rT8VPWPDHz3NDhk9+SMNPTc+Dj2VQRo9ADocPYzBKj1Onjo9XEY3PTRxLz2zFyQ9q6ccPTf1ID260SU9hBooPeuhFz2r1RY952UVPUjOHj0pByM9Ok4mPWKSMz07FDo9kZM5PVSmLD3jpSA9dkMiPQ5BEz1cnQ89TzYLPRhCEz3+VBY9WiUaPerDFD1RVRU9wdUfPYbxIz0s0xY969QTPdvgDD0zkQs9WZQIPQ8QDD3MlBU9kggSPfaDBj00VwE9pvziPEY63Tx429w8HkLdPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf+s/Gjwndqo8m6saPZcyIz2XRB89zOU1PadEXz0BzC89fASJPWBOlT3BQIk9/t2GPQVKcj2gaWU9l2h1PbH+hT3kjow9t6eMPZxckT1o+rA9zxOwPcXtoj0NnqA9yZalPWmMkT1Ui4g9n26IPUrpiT2CHIs9a8CGPbP0XT2plWk9EzZxPRKAcz1M7nM9mlaFPaotez0cpn49uIyEPc3UjT1UoZA9njegPd8yqj3fQaU9ml2jPYaVjj0Kp4U96AaGPelJhT23Nnk95KpyPaEDZT0fLV096V90PVtMcD1pDV49yV2APZgEjz3ye5E9F7SGPZlSfj1lfnc9AWF9PYbMgT0KEYI9o4F+PSDaXz2yaF89KNB9PYPJhT0/04c9LuCUPQ7wjT0HCXo9whBtPQKrcD18BnM9JIdzPSzKfj3k8X09BpKAPeJjhz0sS5A9DzSYPRH/kj1nWpA9p4CGPf6QhD3KPnw9y5hcPdADbj2OiH49yw5tPWctZj0udVM985pbPf5rfD0Mo3U9R2B+PY96gT1Sons9WM1sPRBrbz1bjm49/WCEPSy0hz3hcoc9OQWTPfmCnT3TPZA96jiXPVXLmT0T2Yc9rId4PepPfD0i3IY9SECQPSMNkj0CHps9fiCqPbZvrT2OAKI9lIumPS33pj0r45g9znKTPZpjkT1TvoU9J5l3PS+rdj3wjHY9pUJdPfdYSj3RMkQ921xtPWgvdz2QioM9DR15PTU+aj0hPmw93tRTPUBbVT3PUF49WhhRPaqOUz1fl1w9SRhaPUKaXz0bHk09gA5LPeTSVD0j7GQ9vEx3PeX7eD1CLX09QjqCPUN0fD1RzGg9JQ1dPSwkVD2o3FY9KBhlPRq4XT0swFY9J59hPV0JWz2sUE49m1xXPY5HWT22oFs9/yJTPcMiTj11mEQ9ePo6PbiHLj3svSo9ZOskPVE4Lj25jj09bAdRPTZ3dT00ZHo9pbB5PWOZdj3zGYg9LlqGPVdXcj1nZH09UiF/PXF0ez154289n/FnPXlAZz01dEo94chLPacXTj2n9k493sBePeHqZz2kxmA9oBdePUV0Vz0x1U09M5c/PcTPQj3lfUs9LHhPPcwYXD0jQGk90lVyPQATbz0p13A95PV7PS4Sjj21ypQ95SGIPR3lhz2KR409txuCPWAvfj1Cj4I9LkOEPf47iD0ex4I97bJ9PYHKcj0FQ3c9GNpsPXJaSj3iv0o9oVFHPWVEOj0KITs9UAZEPdoLXz3KvWI9LZFTPenSPT0p7Tc9j/FAPVHPOj1YaDQ97lE0PXYiOz3jPjY9KlglPZgLHz1byy09LKw4PfWGMj3Uo0I9/WtfPc9CWD1IgD497yk0PdkoMT0ANy49b/0qPYVnLz0VaSY9YlEfPViAKT2R10U93VBBPRWVKD1wmiA9wz0QPcaHAz2UJAc9TlsDPT1q5DwvSdk8d4XDPKfCtzzlXL88ElnLPHuXvDw4JbU8F3GoPMHIujyjSqw8M/2rPF9Svjw8S8U8uz27PMcopDwh3548KmqlPLO4qjxSJ648SJC0PFH3vzxAptY8UWvVPN1gwTy0Y708iRC+PEfFvzxAwcw8SnvOPAi4zjyrzdY8ymLgPJFs3DzK7u8856X0PG4N3zyKYtQ838rQPN8v0Dx799Y872LlPJDI5jysbOQ8ujbfPLaL7jyT9QA9PRz9PFE5/zyMG+U8dbjYPP2E4zxbA9c8ZdvgPKeO6jxl8uY8i+zMPJjMrjwdxbY8EnDLPBSC0zykJdc8h+bAPJnVtzw0rrI85iKxPGB6sTxHLrc8hdykPKTXnTzHDrM8h3G8PE3Ivjz5acE8EQO+PE5bxTwzLrk8BRm+PMivxTy8rMk8lkrJPKUJ3zybjvY8kdX3PJaQ/zzCUfc8aKr+PJqBAT2dxug8jBvkPNXv6zzCvsg836upPA4drjwsvLU8As2yPCOYoDx5k508eL6tPHDnyTy5tNE8vhnSPPvR0DxJMcI8PW+sPNkmnjzDHZo8lr2WPAynjTwOsI08lKCQPIMckjx384c8QG+FPFVTjTy1paE81pagPDzFnDyAF548M5ucPH4tmDyfYqY84Cy0PIkdpDz0ZJs8Yn+aPGlHoTxRqaU8PfS4PK2n2TytGuQ8S3bmPJUT5jz9g+Y8tQbfPFZm0zw8xdQ8MgrZPB0F4Tyy1vI8kEMFPZqlBT3m6Po8cgD5PO1bBj3P7Pg8lDfYPAfQtzx8n648MDGtPMn0tjzLTs48WADQPDtv4zyLy/M8OeP5PALe7DzYltU8hV3UPIS7zTwkvcQ8GQm8PKbEujxTRqw8Jsi1PI47sTwDbq08uhunPLGnqjwEX7U8IdGwPIVXsTw/OrI8rn21PJcIuDxtprY8B2TLPClJyzy8BMc8O2bJPH4y2Tx8XOY8gFDfPBBwwzzCe7s8xu++PNWUxDx5O8s86iHKPJv62DybROE8Tg3+PJ7uDD2pxNQ88MW6PAUetTyGv7A8Iga3PJTyzzxSvfM8kNAQPSpWFz0uchQ9eiYHPVRdCD0QRRQ9dbITPa8kFD0l1xM9accLPTWdDD1pqQg9s7sNPQd3FT3H/RY9zecYPTbbCD2qfvA80ZvjPJUPAz3ANQk9JfEQPYb8AD1jevc8c+3pPEqS7DzQKu88jOv1PP5m/Dz9AQU9KmQOPeuBGj35Yxw95aAYPeckFz2ZBgo9V4IGPe2mDj1N+w491B0LPYglEz0abw496lQGPfDSBD2xkwM9mZ39PGyJAD0MmQo90jkMPbBtEj0gpA49ht8UPVTtGz1x/Rw9ZLwaPQpqGT11sBQ99pcgPYmAIT2sWxg9GzkSPdwsET1v+Aw9B1cVPQ6AGj1EXhU9HB4aPXD4Gj3J0xU95WEVPUfUGj0NjxY9VUcHPSgBBj1DoRY9OaM4Pa1SRT3LmjM9nmEfPY3dHj3UXSk9tJskPd7CGT06SyM9xL0bPYBlGT3FwxY95ekTPVNnEj0BbxA9adgZPemqHT3M4CM9JkwTPXd9Bj3yDA09G7sUPVAmFz0qASA93PEoPbnpFj1SdwA91eL7PL2PAD2JRgY9wBoAPUW1Cz2Yaic99xswPT4PMD2WRCo96GgiPTTEJD3hjSE9rD8dPawiGj3k/xE9fCATPfG+Gj1NOCA9/wsXPcZcFj0BsxQ9cMcWPf/LEj0QcQY9o/QHPQuCCj3MFAo9UhsIPTMSIz1IlzE9exEkPcZ5Fz1Y4As9rgcHPSfB/jxQwu481IbhPKSm1zwrNdY8raDPPFI3zjwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+hFiQ9Auo5PaQ8kT0HNJ09TBmIPeRhgj0FGnQ9baeCPV+GgT1WRog9AuWSPY63lD2W5JY9ElibPanHlj2xXIo902mIPTydiT2pNoE9aQNsPcI+aD1oC2k93NmDPfjDhz03iIg98+qJPTvaij1drIU9NtSDPUsghD2SGnw9is6JPVd/kj3U0pQ9CJeaPa6YpT3drKE9pMucPbzWmD3VEYo9Pkl7PaGmZD33Bl09WI5ePeqiaj1HXGQ9bUpePRdabD26g2w9EddnPVY3Zj0Ggl49kglfPSs1bD3vS2o9jvx3PepqeD3+bHg98xV6PXFIeT0Wk2M9TC9ePWr+ej1vlYc9hLaHPdqDbz0AmVI90mFNPeBBYz1PSmw95HFsPeBMaD0cZW49i6h5PYb9gz2qbYc9TJyHPV5tij0lo4k9cNaFPayAgj1hO3Y9iH1zPfnocD2PKGY9dqxoPRAtgj25GnE9NPppPdAlbj20F3o9Puh3PTvQcz2R3ns9jQJ7PYZyeD0vqX89V/qFPVAsiT1GPoo9xk2RPTHOmT0eQ5g9d02SPRYtjz24y409F8+KPUaJhz0ou4s9UD6UPRHjjj1HPpI9QxCZPZ+Tkz1hd4E9EcCDPZhDiD3jfY49G9STPQaOpT1f6Zs9t6+OPcfvhj0qd349R7xwPQ21XD1Ys1k9s2FfPY4ydj2RcXg909V1PdcobD2VeVA9dIo4Pe1rLj0jKi89YwQ6PfbtUD2NnXY9glV2PcYSVD3cw0s9i/o3Pf5qQz3Pb0w9bL1bPWYTfT0PvX49ltaCPRgnhj2ok4w9mkyBPTUbZD2pfl49QMlRPYtMVD3hpFo9qyFiPSDybj2+aHQ9YVxyPSCFXT1ar2s9LclfPVfrST2S+kE9OA80PRwaOj0/jzs9OQY9Pc0zOj0N9TQ9+BFFPd+LUz3W2FI9ufhWPeHrbj2dtW496d1qPQXlcD1Ah4c96R5+PTjHaj3k92M94WRbPcamXT124Fo9rINCPd/lPD3KAT49xZ1FPY9MXj0Ba2o9TihhPU33YD1zz2s98mxiPQffUz0hr1s95gFZPeHIVD36I2U9xbdxPRb1bT3vV389QEqKPZnwiD08p5U9z9aWPeBQij197oA9H3d7PeNHdj1s6H49GcaNPdCnlT3S+4k9MCdzPRh8ZD3IFEA9rcxMPSLVVz3+lko9yHZJPd/rTz12uVY9XYhNPXRUXj18qEY9lew5PeyVPT3LWz49UqlEPWQRPD39uCo90nAwPV3pLD1+zCs9NtFBPUMbRT3+QDU97oU+PdSqPz18lVU9bm5ePRuMSD0DcEQ96VU7PctqOD2r+i89dKgiPR7vJz3rdiY9DX4WPY3LGj3pGS89t/tAPSptRj3v1kM9N/U2Pc7aMz0IDiE9Pp39PEzzzTybgNU87+nVPNSEyjz2t7w82wXEPEB5tjyNxas8zxWqPCjprTyRUsI8NFCqPD75rDx93rE8SjGxPGeYsTwWwq48NZWoPMXipDysDao89Y2uPD/trjyFT6w8Dgm2PMbawzyR7b88r7y9PCMsvTwIrcU8F7LJPNbP2TxcIuQ8Y8vgPKkC8DyC9+M8TNrRPEpozDxvOMs8nNfOPKdgzTx0lsg8QSTaPNf22DyXRsw8XnDJPMf30jxT6t488HvtPDs7+TwytvU8djPjPHhFzjwnLMo867bNPL86xzwpWro8mOawPO2lrjyKGrU8S6qwPE4JxDz4Ws08o56+PNlexzypsc48ayW8PDb6rDx4x648d4G3PHBeqzzS4ag8yN+wPCj5wzz9vs882QfTPKqq4TzB3tE8i1TFPEEf0jyABNw8/x3cPIuP1jyNWus8zMT1PH+hAj33PQg9UGQBPSeM8DyJP9k8HpTKPBQHzTyafsU8eQuvPHU/pjweob08e9O+PGF5ujxGkLg8jOa2PJzbwzwtx8k8cHfSPNCH2jyRj948FIvDPLubpzwr85Y8HtmLPLwfjjzaOo88wUuaPKt9mzyZWY08FieMPArVlDwrm508TOSgPKoojzxNRYs8dL+MPIVOjDxalJI8mm+dPNnTlzytCpM8Z4KkPF8orjyMZLw85eTEPLxbxzwWleA8B/XTPKpnzTzbYNI8ukTVPMrc1jyKZOM89Lj6PMvaAz2TTP88mUb/PJ/R+DwbpOc8kQfKPBjZwzz+P8c8CBS4PG7htTzr0rQ8N0KyPPTjrzwKP748bZu9PH/ExDx38NQ8OQLpPL2w7Tzekcw8LhK+PBQpzjz1o8g8cqivPM3ppzycnpc8JHWePBqzqTzpP7Q8zgSnPKAXoTyVGbA8Nga1PGtvwzxFucE85bW9PLMavjx0f7Y8qey6PMNBxTzi3so8wcPBPDlPwDwXu8s8bXLXPPFG3Tyl5dc8OfraPOCP2Dx1rso8ydnIPLP30zxTcPg8DMIGPTNZAj3979Y8APC+PMi0zTwT+tw82r3ZPEDL3DwL7Pw81HEQPVqLJz1gux09GeoVPTIzEj1HMRQ944MPPW71Cj2oOAs9ONULPS87Dz058Rg95n8YPXEkDD1O6w89FssTPS3gJT2ixxE9bvj/PPBT9Tx3IPo8XjP+PDgOED3m5Qc97pEGPQ1H/DyWEf48TScAPTrAAj1+RQU9duQHPXdvCz0/agU9AU0JPR5mAD2/V/883KkDPdL7Cz0Iug49u4QOPT07DT1zwAs9fE4CPezcAT2uCwU9fwQHPcvtED2Ejgw9dTAHPVYsFj1Y4SQ93FIlPbK9Ij22piA9kA0XPZRGFT0CChE9JBwQPaTSDj19cwo98e4YPWksGD1GbA49ESYNPcBcDj31gBU97EIhPaD3LT2EhiU99dgfPe2oCj3ONQw9zpIgPZfTIz0jIBY9lVsQPXjpEj2SThQ9IMEaPTYGKj0vmSY9rYgePS72Cj2YgAM91BIPPQsQDz0lvA09yv8PPfKWHj2Crxo9SSoXPXuCGz1IRx09zschPYaFGj1tHgw9sQQSPSQQDD2I7Qk9M60EPQl6AT2JsP089NQDPekmBT2xXQQ9rsEJPSfbCD0hUwo9AdcWPbkpGj1SpBc9m8caPRqzND0CQCs9ISINPVAU/zwCUQE9yAoMPc4gFz0ufiY9a+ozPV4hDz12rwk9MbH9PNJaCT2irxE9WrQEPeKN/zyNIwA9O78HPfj0DT0OYA49al4QPaj2+zy6n/g8kVbxPEee/zxdOAg9fIvvPGtfzDwI2sU8E3m5PMt7yTyHy9E8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH95Ero7m/91PLYPVj3me4o9AdqBPbObcD2KwXE9Q4pyPR+bij0YvpQ9sI+bPVAUoT1UUZ89xUmYPae1gD2dCWc9ixdqPcjWZj1yy2Q9WUpbPVc1Wj0NAm49NgaGPV/wjD0hsI09GluPPU6GkT0tno496TSPPSm2kj1/upM98CqPPelVkz3yM5g9CzOSPQBJlT01sZY9LwKQPSL/gj2CjmY9fSxUPVpETD0gZEw9B/JbPWYAbz3kY2U9oWRfPRVOZT1xEmc9xEhpPUgtYT2rXWY9Y3JtPaofbz0fim09qMFiPXCKdj3VTIU9qtF6PVWHVD1hoFA9CahZPZCtXT3RzWM9XmdcPSqqRD2hvDs9ytxDPVZtWT1zTnM9Ht93PW2cYz3+7mI9s9lwPbP4eD3wboA91k2EPVyMgT0WQ389HQCMPYXckz0CkIk91QmLPWc8jj3O8JA92AKMPV+Nhz14zIk9K+2APWKLgT3F23o9rThyPZgsez323IE9DWJ2PbNWdD10OHk9aFuBPW4Ebz3ma2g9llNxPQWvez1sDIw9aOSUPV5Blj2f0JY9jVqdPXfzmz1RNJU9/0aRPagdkD0wB409jByOPZjfjT1xX4k9OvSEPU0MhT3arIQ9pLCIPWiniD23RIo9k7SOPaajkj3U15A9KiB9PVJafD331HA95ttoPVJMbT0q1mU9BtFgPRfhWz2K50s9ChBFPZkXPj2K+ik9QpYzPeA1ND3NqTk91Kw5PX87Lz33jCk95nAzPdppNT3prjs9blRNPcqobD3N03g9ihd5PdsRgD0PdoI97mV2Pajabz13TE49iuVMPVk0RD3ZwUg9ZtNmPdcOeT06Fn89BEZ4PcZVbD1yF1o9h95RPXkqQj3Mmio9xZguPerHNz0atz093g5EPTCJXz0hPHg96ZdsPf23YT0XLGA9tvJqPdTjcT1jw3Y9e4xqPViEUz2GP1E97hFxPcCEcj3HcFo9RFZbPVqmaj1PLmc9e11ZPeroRT1jbUM9tOREPeoyVz34kGg9vthrPTROhT058389EoF4PRFxdz31zW09EkRnPTvsXT0LJl89bABiPcXgaT25lG897aFvPQSZfj2t4Yc98RiPPXEejz22yIY9OEqMPRbPhj2zJHQ9zodmPaR7Yj2FoVo9NE5XPRCSXD0SRVo9MDpVPdbmUT3EWkk9Hd1PPYY/VD0Dy0499UJUPWW9WD1Ba2U9bxVqPZwUVj016Eo9miQ/PZkNLz2B/yU98YcnPbaVQz0hmUA9O9VHPZNfUz36SD49pmMzPeTlRD1ewks9ytBPPd6/OD2RxjU9LRguPRkBMD1RgTc9kmM4PRscMj2LiEw9RqE9Pbp9MT0ZVC49wn4iPfp6Hz0GIh49OEsMPU857jyqkOk8T3rXPKSh1DzH2c48/+TRPCQK1jwdAtk8uoLHPJAv0TwBSMA89jK2PEURuTzqcK48ySGoPD5MrTxLB688HiSqPNaWpTyV9qg8x0G3PKFCszxdULg8gY7CPK39vDx91LA8reGYPOS+lzyYXqQ8YPuxPOKSvzxgi9884iTXPBGnyTzhdNE8YyLpPErq6zwx4fY8wsDxPMHPzTzFIr08uyO7PEyHvTwmxNE8bK7XPIo93zzT0M88kRzIPMhpxzwQp9g8oevsPA9d4DzY9sw8XaO5PK5gtDwbvrg8Bjy7PEbzsDzVVqQ82r6dPMJ2pDxcU7k8C6qqPAPnrTxIHcg8QILPPGoszTwalcs82XDSPGAixzwtvLU89r+vPKyPrzw/ZMk8X5jGPJapxDw+M9A8WcDUPBfP2jz1Ots85FrSPJ6n4Ty7muQ8LEvfPKmZ2Ty04+M8j8wEPfQdHD0x5RA9Sn4MPb2NDj22l+E8MHe3PBNgwzzeVb88Z4+3PCLlpjxSm5s8pGikPHdvozycrZs80YiXPM+ynTzCvME86svdPEnL4zwMkNU8cfXMPEBFtDydEJ48tiCbPK3jlTyQ1Y887JOOPIkPoTxS/7I86JmrPEXkojygr588K2icPMv7ozwSXZs85qaQPA7Pjzzbj5w8utKfPG+RoDyWTp08a0+kPHn+rzz817U8lNq4PPSvrjwFy8Q88sTKPA7mwDwyHMA8YKXMPMr8yzxSGeg8mx8GPeDhDj1Iuw49uDr6PBjayDx6I7I83GOmPLBGojzdHJo8zmKSPJeElDwWLKk8bZ+wPBAqqDz8A6I8jkKoPNHwrzwFB7Y8tTy1PPcnsjxi+q885KahPFs+rzwr37Q8NIOsPPTfrjwZ2648UlqsPCMmpzzSy6w8BVLAPIeytjyh+bE8bku0PHhRqTw0RaI8m02jPJkopzx6Mqg8mnGyPBvItzyWlsU8SwncPLs8xTzOqrs82Ga2PJ2rwTwtK848h43WPI6L9TxkmP08TsPfPObe0TxouM489YnTPDd37Dz9D/I8ChHrPJsy4jwuufE8zWDrPPAC8jxOKPg832EVPYCENj311zc9MAUjPYUYJT19DCM9fBMZPcQCID0Pjys9yOYaPRSVEj29MRY9P2caPXqMGz3ISRg9aLAZPW5NGD1kMBM9MyIKPd8TBT3yN/U8dFT9PGLWAz3UyQo9G4ACPWiTAj1Wbvs8Z9IJPaImDz2HjQ89PBQLPZM0FD0tGRA9WYADPSJ6AT0suwQ9vesLPRJpET12Wg89Ce0IPaHSCD2sGxM9rvsaPVetFD3zJRY9WkQYPTlAGD1QRRk9x8QVPTxGCz3CNAw9vrUTPeUOFT0qFxI9s7AEPZyKCT17qRE9vFsMPVAnCz2TqQc9vGMEPTNLBz1dmhA9CqwLPX0HDj3EKxk9BgUhPRmcKT3Obio9SU8cPV48Gj0obxs9KeQkPYxXIj0ouBs9+i4PPan9Dj1a9BA9BEQSPQLvED0llBU9x14NPcvTCj0m9QE9MQb+PHEz/zzSEAc9ObUUPQGcHD1DHzA9SicxPReNMD1lGyY9rEsfPbGFHz0o/hw9ZAUWPTNmFz34Dw89QsIPPTtFEj1m4AU9ZO/5PFvkCD1BuBo9LGEdPQAhIz3EfRw9MhcPPX9QBz1fQg09SeoPPQGbID0T9S49yq0bPUFlBD0cEwc9D/4KPfuVFT1DXxk9/ZYePfqzGj11OAU9JjIEPWg/Aj099gU9t14RPclyFT1pLRc97sQSPb5UBD1Xqfg87078PKOU9zyhJ+M8s7zmPD4V7jxBb/E8ntnoPBgCvzy53p48F2KaPB55nDxUoao8042tPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/Ig2mPIcGuDxvWV09sJuIPcDMfz1gqnc9/ouHPXx5ij1KnIw9u+CPPUEdlz3rBo09xy18Pbgcdj0vwGA9z0NkPdm6Yj3o9XM9DSFrPa2DZj2Rnm09MTeEPSQ8kj0zEpg9hPOWPZw3lD1fvJM9BviIPfWTkD2v2Zc9cuCIPTdUiT1W+Is9rS6JPbpefT0M6nE9+jprPRSuYz2oGl09UpVSPatmUD0smmI9iOJpPXVDXz1GKnM9ZERpPVfaVz0xUXc9jEGDPe/lij2Vo2k9Gy9fPeU0gz0eeYU9v0WBPdOicj12d30973KMPTQuhD39lF49JfJSPdNTRj2Jsj899hs7PWgUSD3Sez49riBAPXLDVD146HM9yM+EPeflbj1iHWA9eURiPcnbcz0DvII9dp2DPYfbkD2nXYs9d6iKPUdYiD1qiYc98s2GPfLniT3nH5A9Y/CMPfA5ej3VoGY9dFRlPU6YVD0MmWY9ul5vPQ0sgz2SR349YaVyPb1Raz0jjF499tBhPbrYYz0bX2I9Eo9wPcqZcj2KBIM9VeuMPR4WnD3xvps95HGdPZUapT0+eaQ9r6CgPbTRlD3yUII9DVh0PYS7cj3D+4c9kLGKPX8Lkj3dRZU9wH2EPToygD0Sv4A9PKiFPUvjjj0LZIw9VQl2Pe1pXz0NfGA93jViPQvEUT1Qg0U9eipQPfAeXj3JDFg9yXpWPYq7UT2DgVI9SXVAPVeIRD26jkk9E+RRPdaoRz1LbkM9Kn08PcglOz1hvEk9hclqPcLQcz0aLGg9IKhuPTk3fD3Yk3k9enNzPRP6cD2pZV09u584PdT1OD0u/DQ9CyU4PSTWVz3AWFw950NPPUQKVD2cH1E9kvVMPXOCRz2gxlE93aBRPWoVTz02aUc9/+xLPXWpTj3fWXE9ADRZPfzATj39/lE9NaVdPWsBYT3xgU89zKY7PXgDOz3lCz49mPNXPdxcYz27u18957pjPRgVcD3k/3g9VLd4PTKcaz3anm09IdN1Pf1Pfj36DoQ9tOF4PSN3gD3yhJM9C92LPdcxhz145ng9aDVrPaCQaT2F8mc97tRVPdhoVT0abl09c/t2PfEkhz29TYc9NWCQPeDhlD0dII898vF7Pe13fz1Vd3A9cwhgPQH4Yz2Y4mo9/F1ZPYWiZj2Jo3Q9Bz5wPV2GcD24PHI98DxmPUAqZj2Zql49oSdRPb1RSj1S/ks907FgPTICYT0nfFA988FGPXN5QT1mcTA9mXw1PRIrOz2QokE9Mqc6PSYzPT3zAjs9FqQvPTDLND1GcDo9XBM7PTpLND0QICg97sNBPcyrQT3jZzk9yKAyPXSMOT3+azo9QlREPRKqQD2dqyU9MAoWPQILBD17sO08Z2XePFIf2DzXBcQ8pVzDPO0oyjwbGtM8JbjbPEXD3zxOYMw84JfMPHSYxTwFs748fDC2PH1NsDwdwrA8EFSpPPXvqDxxcrc82Zm5PCsmuTwQsrs8F0K2PGv4sjzL5sQ8AKDOPJ6OxTyH7708U3SzPKdCojx+2KA8ZE+pPHAhrzzJ47I8wfPFPEqxxDyvkrI8S5rbPHbV3TyCWNU8WM7ZPHeb4Dzyrc08ur3DPCI+zzyZttQ8TX3hPMxD2jxUVdA8wbLBPCsTsTxLrKo8K0u2PLQoxDwJDdE8H0PJPBlHvjxb6rs8NgS0PEDgqDwc8qE8fKmePO6CnjxWgaI8y1W/PJC3uTxYhb48+hjOPCHCwjwHkLo81rq6PGOcvzwg3LM8M3KtPBeRujzzU8M8UubkPCQpAD3QQvY8r3D8PMNb7Dy+L9g85U3TPOzfzTx8GdM8lmvePIwS7TyE7/Y8W6PxPCGLDD1V8yA9oH0YPYrvBj35zPI8buLfPL4Nzzw8JtI8rorAPJaIvTyZPsA8LjuwPPEtsTwKLKM88pKgPAb5qzy6R9A8+obcPHRj4zyGGto8x1vAPGXBuDybILo8Kp+tPCUCnDx/hJk8fjKZPBuhljzKRaQ8E8mqPBlPmTySlps8cN6LPAjtgzwRApE8zdSZPIQjnzzNVac8vZqoPBhLqTwuC648ipWvPIsjtDxGf708SqzDPIjZxDz1kLU8EvLKPDHl0DyxMMY8d6XOPMFk0jyhONs8c8frPHMY4Dy8/No8ULDVPEK00jyQD6484gmXPF5pmzwvpKE8bIOdPGLXmzyQTqI8MnuvPDK4szxfWbk8+U2yPAofrTz+Ga48ZyKuPNMDrDx1S6I8nSCdPDUYmjwRnJ48d7ysPJxctTyy9bU87ruuPKrcrDxWBqE8BCenPJYzsjzhALQ89UizPN+9qjwlqKE8C2KiPGGTqDye4qg8kYamPDWQpzz7saY8AijBPE3b0DwMbMU8YkTDPFPv1zw/Rtk8h5TOPDCo0TzvQ908XaTmPFtG2TzdK+A8q5XWPCKSzzyvFOA8dZflPKLF8zzIjes83l/tPEAC8jzGpAY9tTELPbzDIj0UyEQ9l2Q0PTiBFD2+5wk9lt4KPYOnGD2HQBY9rB4KPT6AAz2izv48dS3+PPAuBT0Blxk94wwjPY5bGT3LwQ89qyoRPYPvGz214RM99jgCPT6o8TyHJ/g8etj5PGjQAz2qMw09eosJPcNzCj3G+ww9CrMOPXHHGD1AVSA9FD4XPWjtBz0+lQA9spn2PBqB+jx/Tw89bksUPdATFT2u9hE93x0WPXJwIT1EYx89+p8TParsDj1U5gs9gHgRPR85Cz3eIwU9IOAKPZaJDz1VqhA9eIcLPWBLBD3nLwo94UIEPQYKBj1bXgY95RIPPfy7ET2Cuxs9hPAlPfjIKD2VlCo9d4AtPTIGID2dlBU90eobPd0SJD1UJSM9C78jPTwYKz1IwRk91+IWPWsVHT1f6Bo9zdccPR5SJj28eBI9YgEMPfqqET3E9hA9ZtgPPVo+Dj1PW/08r2cBPeGbDj0IBhY9JGYnPUkBJD219B09dzkSPUarBz3PBAk9Z2kIPabXBj3jqw49aroQPV0NCT1NoQw90ZYRPUi9ED15GBw9oG0pPWV1KD301SM9qpYcPXkQET0cbwg9KYUMPSxOEz1CwRs9SmYiPUA4Hz2T8hM9KLwSPSjnGz31Vh49BbsaPRdhED0yHw89Ee0FPSDVCT3nyAo9iFELPZYwDD21ugs95UAhPXg+IT3jYRk98bgHPfqs6TydU+w8vAEBPSajBj3ZwRY9OM0JPSP7yzyr3KY8dpyUPFdHljyd96Q8HUGpPFlmpjwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6GF5Ty2ATc9kqNrPWZTij1wiYw96yaGPVSOiD3/N4s9/AGKPY+6iz1MOYQ9YkBnPZ1AUT0CrFM92Z9WPYbzZj1GCXQ9xrmAPR/EeD3vkXo9LnmFPTeRhT2BNYw922GdPVKepj0vbaE9WtOHPamCgz3zD5s9qNOaPeb0hz2WzYM9DeJzPSEdZz3DOU89EfBOPRUUTj3j2U49SyJZPdY4ZT30zl49g5hqPQhzhz3HtoI9J/19PUzXbD3qhWk9V59rPUzlbT0F/m09xsRtPQ65bj3lPIQ9XoZ+PW5taD0qF2s9wWSBPeJRjT0Q9ok9ehpsPS6qTD2fd0k992pDPcZYTj3Jx1A9WylYPW2dWj0TA2c9861hPZa7Wz3Xm2c9P196PQ9leD2VsXU92D92PQ/ihz2NjJg9m2WPPVDbjT25doQ9Q7xuPbTdbj1D84E9PbR7PY/7dj1x82I9/LpJPWIfUz2+ml89x0xYPfwLVD2TsVM9i1drPWeVcj2bxF89E51gPWqpYz1X52c9YvZ4PW0Ggz0V1ng9nsyAPWVHgT1KC4M9G+iGPch9ij2aIYQ96Yl/PWmYdz0kmmU9vxZhPahTZD00Ln4938GMPQ0rij3QgYY9WtiEPXteeD23M389ieV6PdXGeT1SuHo99nZzPYUfcz3BEWo9IPtZPRaQTj1rbzo9mfo9PZyeRT2uQzQ9c9MfPTSYIj3KfCk9MMExPU7RPj1QBlQ9Dq9fPbxPWj1CE1g9H+tYPe0kVD3xkk091+NLPVGoaz1P53499Yd6PdPebj3p12M9vrBxPdlNbz1vvWw9nvE2PZsCID3sIB89CBglPY2GLD0aCzo9FCxTPW5/Wz1kekw93EZUPdZtcj1HcXQ9uJR1PbIKgD0UJWQ9dh5gPefqXT0dhls95AdfPeibXz0Mm1E9EIJOPRe8WT2z2FI9NOdEPZBUSz0kBVM9YS1WPQaXXj2Irms9aaJ9PeBkej1gt3M9Rl6BPbM2iT1D64E9vPFzPWywcz02in49MoSBPVhgfj1LDII9jMCUPZVgjT0xjoM9s01zPQ1OZj0ZaGM9ldNqPbWEXD3RwmM9989sPQEyeD2s74Q9+s2APT1Obj2z8HY9eOFlPRo3ZT2mlnk9Y0p/PaFrdD2++XQ9KQ5mPYsEXj0xnlo9dDdOPddMXD1hsGA9twZvPaHLaD119E49HrpFPUocUT02JVo9m/pZPQVhWj36SE89i24yPTxfMj0t9jE9BIgyPUDlNj1wPzU9MlY4PcWvPT3wXkU9g1RGPXbEPj3xYzc9nJskPbAkHj2Lth099iccPfopHT09VRo9skUnPXtAKz1j+TM9XpU0PSSyHz0UPhw9MPQRPWH2FD0/Zwc9EvDwPH90zzyUass8V1TCPGukwDxvpbU8TFXDPE0VzDysjNs8n1LMPA4ZwjwRAb88Ake7PKQHvjxyRL48qr+pPPQApjwnb6w8PiK9PN7rvjwzIsc8e0a/PBneuTwb4LE8dPC/PNnqtzz28Kg8GmOxPOy4vDwrdLc81QOwPFHurjwx0rs8IJ7CPBnRyDwifcs8DHG3PCuhyDxAgck8sNjSPKRw0jxllcE8hC3EPFiHszzF98k8eL3QPPvAyjzjXcU8MwGyPKPAtTxQOLY8Isy1PHGevDw7M7A8e7fNPLp71DxwTNo8M3viPJzSxzy47qg8+E2nPBRmrTwH17M8dC60PFi4qjwpqas8fD+2PMPRsTx0xbE8Zgu0PAIvqTw0cKM81Uu4PLgawzzuYdg8Z5DrPGpfAz18QPk8NyPsPKQ/3zzX4Mo8KcDEPCxPzDzpecc8Eh/ZPC7D8jwc+/Q8qbHxPGJhAz2K4BM929oVPbEZ+Tz2UNA82P/HPH1/2zx898Y81EjDPDeI1DyuGdk8KUvXPLc9yTx7+8c8AWOyPM3rvjwZXeo8Vtv2PFtkDj0XAOg8VAy0PE9Wqzy1Ja8893+4PON3szwHSak8kJeiPKsVnjxq3p48bZ6dPExolTwblJs8ZCKQPDb3hTzYs4w87qiTPLISnzxKb548UsCcPCkepDzZiq08jU62PKZKuTwn/6w8i06yPDxXvzza+sU8ao6+PH4a0jy32tI8Q9LRPG1Y8TxYt/w8kI0KPSFw3Tzv0MI8dFa/PGlWsTzIr608pVGnPLHorDxfIKk8kwybPEW8oTyzGKQ826mwPBAwrTy3TKQ8QUOtPEmYsDxSoq48DDClPE79qzwl8qA83a+dPJQkpjzu1qc8MNOkPFonnjwOqKA8feOkPGwtqTxy8qo8pNCvPG02rjyYDr88fOvFPE/0vjzoxbs8jk6xPCQ6rzyAbq88wPyrPGAgqzx5mqs8WQ2zPH1bvjwhCss8WqbePO73+jxxBAY9VgcMPcvt4jy6iNc8zv7oPOrO8DwYd/A8aJHtPBCX7DxImdc8vyHLPNBVzzxYzuQ8Ph3xPKGqCj0wryE9L6wkPb9fJT0+hy090TMfPW8FCz3ocAE9MGIDPRXpBT1RcRE970MEPe9qBj3yRBM9ezUUPd2MEj1SRg899zQbPfMFHD3FcR49OpYVPaOCEj2MzAo9ZFUIPWBeAT1PMPY8din3PIz3+TymrQM9/Q4GPbpoCT2d7BM9LFUOPUViDT2IBxA9EcwePRI1Hj2kRRU90hsUPbXuEz2nTBE9ZQIQPaqeEj26bBE9axQIPaD/Az3+Av48MQQLPbuSFT3R2xM9fugDPZgtBj1tAg09TGUSPS1aHT20OCI97+EmPRyJID3kFRA92oYLPShqBT2uow49hf8IPQY9DT3Eiww9nmgXPdulGz0wGxo96TQbPRl9Gz20uBg9gZoXPTVmHT1fCSM93aAjPYWHIz1MHi49ScMlPQzPGj19mhI9OnUQPetjEj3siBs9954UPfpgGT2lSCo9em8lPcy0FT3doQc9k138PC5KBz1a7ww9g5QQPVkOFD3GPhA94aISPfY7DD2I/Pw8iTECPVp3BT263wA9MCX3PCvPAz0BNBA9nroQPb13Dj27fwk9OaYSPVbwKD3zuyU91rAgPW89Fj3I5BM9FcMPPTDcET3usBQ95bMbPe98Iz3FxxM9KrISPT2qHj2T8iE9IMcgPYp8HD2hRhc9ftEWPSblET2s3Rc9qHoUPVsC/DwAvuU852MEPYx8ED2J4xM9GpoOPZzyAD2ctv48P9QCPdJjAT1XCAA9EDQEPSzA0zwkzpc85u2OPNUIkDwnBZk8z4GgPLuWojxOWaI8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4kSgjyCiio9iUiKPWqVjD3c5os9cJ+OPcNyej2zSmI9enp8PRbJgD0xB4o9Ja54PV/SVj3k/F89SaV1Pcurcz2q0209M6FwPff+gT3p8Yc9ufCVPdhWlz1SVZQ9wiiMPcTAnT09boo9cuNmPQJ5cz0xp489hl6TPdS2hD07Lm8943VlPZeQSj0M20c9q+dIPca7SD23W1c9t85GPcEbVD2HYm49nRtqPRlsbD3/RYY985p/Pfwscz1JtHU9yh9uPQp2YT0XTHY9S7NuPTqSdD2nvXo9BjB3PRYScD2V1XY9CtF9Pb8JiT0r2os9dqOIPfoKWT1m/0Y9VDhJPVlXST3wtU89k2dgPSEjXz11n1w9cANjPbSqcz1ge209lH9lPZAegT3CwoA9LuJ+Pby/fT213Yg9JniOPXNMiD2p53I9dt1mPcx0UT3pulM9oophPYwsfT0m/Ho9aoh8PWXAgD1oNnU9+pxjPTnBfj3GvoE9j22APeL+hD1KJ4A9gIZePfs9az1wvnM9RkR0Penkej2OZng9jr6BPc65fD33ioM99gmHPX0qgT0Kiok99WKKPYKpaz0oPF89RiJVPbJmWz19uHQ9b+F/PViYcD34V2I9GpdPPfyIOT0lQTg9bkhJPTAYaj3rk3E9ctN0Pas6bD3+LWc9DcVYPSkwXz0O9lc95GlEPXBOQj3XTSw9LTUkPXIqMT1FQy89ARguPQAeLT2R7Dg9h4QvPcJKNz0JwEE9efNdPY0HZz1kGnA9jw53PSYzcz0wCXI9moyAPQjEcT09+lE9Aa9RPZpVVj3UyE495TI/Pf/QLz1y+zI9SO4oPdyMMT3TEjM9dfo8PR8mMj1VTj49Dn5UPaPWXD0orl49lJZlPVukYz2dnHE97Ox9PQ/qez2TDG09DZ91PcF4gj0Zm249XY1iPSRJYD3SrVw97QhQPQdzVz26PVc9b6BgPahBYT0xAVo9O3p5PbSanT37S4M9u5t/PSiuiz0dh409UVeMPdWYiT3ABoo9DdiMPQoUhj2BUYQ90RyIPU+FhT2cv349rZCEPehudz1H9XQ9IOhsPQUwXD0OLGQ9DOlmPR42Yz1m9F09nd1YPcDUYD1h7WE90HRkPe0CZD12pF892SRgPaRBcD1rn4g9AlOBPXPTaj2z8lU9/YddPSq3dD2nOIc9MT+HPRFWfz1BB4E9up9lPZn0Zj2ajGs9ZMlqPU0QTj2SCkA9abU8PaezNj1+bj09ntFCPXkTQD2ToT490Mc6PZuhNz1rkUw9v39VPUeNUT2RT1I9DYMqPdMqFj2P3RA9TssNPQVb/zxnrwc9h/0SPTStEz2/bA09xQ0QPdkZEz0NwAk9YycMPaB7Bz3EWgU9WSP1PEQh1zydoLE8lSCoPF74pjyMRLA8AH2xPEkTsTwPsrg86+3FPIeA1zwyQMY8/ayxPFvTtDx+obI8gDarPNzanzy9R5w8b9yuPOJ9uTyUQL08bpK1PHJEtTxRlrw8Zm7YPNAW4Dyiauc8HLPmPHetuzycD7Y8axTEPMey0Tz3PsU8AlnDPAobyDw248g8aPDFPIr7xzw9Bds8lRPaPAwmwjxr5LY829bYPGFS6DxtJOI8MYTfPGRBxDxY9Lo8Why1PFZCrzzz2bE8cj3IPMChxjwyk8E8qsO3PD/HwTw0AM48nLu/PL6btzxOs7E8za2dPM2YmDyfQaE8WM6mPN0onzwBqZk8qDOfPGMcozyXPKc88K6yPPMFwjwf8so8jlzIPDcv0TwFUe88THXqPI9d2Dzyi9M8rhG8PP7VxTxNaM08US/GPO6cwTz/2NA8hXToPNfSAz2Cyww9TT4FPWl0AD34rwo9vSQVPQZp+DwXqt48lILXPBhb1DygTtM8Gz+/PIEBwjwvLbY8qeWuPJB9sjzdxsA81fDJPD4E0TySxdQ8kD3xPCTr/Dy9PPI8cbzBPEwcqzzjuLc8knm0PPpAsDxFSrc8LnHQPKwNwzxKtak8VhWkPOlfozxq0qA8Gn26PKNWrTxAq6o8lUabPBJ6ljzJb5U8Be+mPAFPrjyPzbU8d7LEPN7QxzxjYso8VOTHPJyMvzxfyMM8pNrTPDnr2DzRAuI81cjHPETi1zyZkOQ8aX7kPMyL4TxiOsA8POG3PKtj0DwLQ8U8gW7BPEUKvjzVpL083HayPHNYsjxqUa08vcmqPMjLqjyOYLI8pMa4PMrutzzVKK48QCSqPJMYkzwv5pw8layhPC1gnzxqS6M8k/iiPCB3ojyOhaU88tujPEH1rDweE7k8K226PGgqtzxfwMU8HE3PPFgVuzwCaK08XGutPH3LszzVIK883OaxPOz4rDyiycc88R7OPGE+2Dzlc9s86DjfPCll7zw+ugQ9L64GPY35Aj1HBOA8pcTUPOIj2TzjL9g895nYPP8E3DxaZN88StfcPJ8g2DwEzvI8CLb6PNccCj0pEhM99PAfPW+WKz0JSTI9inowPfXPID18Mgg9hO8CPadGAD1ZJQI9nHYCPXmsAz04Ag09l9AcPQxWGj2QmxI94LISPcuSHj0+Xh89gtAVPWyT/zyrzvY8rL/qPLMrAD1n+A09Ia0DPbXj+DzxZ/s8jgIHPWHIET0ZlhM9xFEFPXxF5Dw/B+U8bE72PNHyAT1iegI9qbADPSOJBz1nuAo9kYEUPVxrED1MgxE92QgSPSOeDD2Q7Qw9RIINPRN5ED2n9RY9bJIWPavQDj1B+hA9Il4VPTIrGD0h0h89MYYhPQlKFD0YURE9ZtIHPSeiAj2GUQc9WswMPeGmCz2KRgw9IrwQPdBzFT3t4Ro9m3gnPbIGHT0pnRc9UT0RPbw2FT2s9Rk95s8ePbLqID3CYiU9D4c5PQHyRj1oNCk9mN0VPbbeDz0ChRY9iKMePdQJGD0ueRo9myojPe+IHD299RY9aE0DPVn97zxPyAo93K8ePatwEj156wQ9E5QKPd3iEj3TWhE9XsAJPeKjCj05Mwo9KKYLPUfhCj3OiwQ9XwYFPUkWAT1NevU8Jnv+PDoQED1haxc92HscPfFLHj0V2x49mkYVPYpcCz3sVSQ9+YolPUjwIj3exBw9SaMPPYZiCT3cEyU9lR0zPUfuLT33LB49sJ0FPX2B+DxdBgk9mHwEPWGuAD1xTeQ8ySjlPPr/AD1pO9k8SiTHPFXSyzypKMs8h8vfPLKI1DzaO608ZfqfPOmNlzzaIZA8oP6QPA9QjTxNfIk8MDeKPGHvhjylpos85yePPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/ZI+k8zjAzPVrzhT364I49lVOJPRPfbD0sHms9K6J8Pf1vgD2lR4c9gpqJPfkphD1EDXI9r0tiPeBzbz1UOHE9kbh3PRiHdj20dnw9rmWCPS14jj3Wro493L2JPbPmiz1dpZ89wGKVPbfUhz1t9oM9CcyIPacSdz0r7WA9gFRMPXudUj12HFI9ntRJPcopRj33FEw9Js1aPSJ7Yz1k/mo9hGh7Pc4zdj2m24I9iGuQPUmsdz2W0nA923taPbZmVD0v63I9YsyIPeKvhj3NHoY9bZCDPSZ2eD1IfYY95/eOPUYYkD0sW4498veBPXw+XT3oAFY9wY5UPTW3ST11Vkk9aX9IPeJXQT1YxFA9IK5XPUMWWT35mGg9vZuAPQaodT3IEXE9SYCEPRPFhj1/U4c9c+B6PcMoXD0waFY92O1VPdbPUj1LxVs9xuZhPdpKYj2ywoE9+uWEPbJ5gz3USYk975KEPXdxgD3Dj4w9VK2IPT3KgT0lS249j0htPWmzcT1hJmY9qjB2PY7agD2sk40918mHPfChgj2EL5M91i6aPZiMlD0Dk4o94JZ9PSV5iD3xb4A9dA9zPYwIaT06yFk9Ox1YPYqZRz1nPEI9/BFFPdbjRD22GUo9ZE5RPVfwXj04EnY9C01yPROVbD1xNmQ9IRViPSPtTz1fEEc9jwJLPQ44Rz1qMks9Z9o1PQb+MT2wDz89pas6PZSxNT139S49NudEPQqKVD2u/k49tMlTPRbYVD33FWQ9s/OOPQcEoD1MdaE9T2SNPWwyZj35uVk92dJpPRbdVj3qk0s9A6FNPVqsTT3LukI9OaQyPVEqQj2H+ko9Lk9LPZ71RT2Tw0o9A05QPeYGUT0bvFg9P1RhPaqJZD1BQFw9lVxnPUP8hT3VEI89N8eOPXbxeD17GFc9jg1IPXTaRj1PhkM9oGxKPfG3Qz1zf0s9yo9TPSDLWz1z+GA9Owl6PceRgj03UIM9rE6BPaJ7iD3LFo491YOOPc2zhj2LKXo9Yi54PcINaj2cB149r6xbPQQqYD1EzW89B39+PZ4VaD24yFg9Rr9lPVbsZD06fmA967ZSPWyXWT0jYFw9dWtOPZgkST3w31w9NNtjPUq8bz14z209Za1yPVHHfD3mlmY94UljPfqrZT2tlm09L313PS2Ocj3I+nI9Pu5xPb9QYj2B2VM9rS5PPRWcVD31zmE9g9dRPWkQUz3+DVQ9Le5RPbJpUj1fBUo9nJQ7Pb3aMT1OZjk9uZk3PSLhND3U9ks9fvtaPcLiUz3/BT09dLYnPTk0Kj0t2SM9ZagCPXRu7zwRJs08AMTcPFRW6jxJ+tY8jnzKPLfl0TzBDdo8h7vmPId24jwO1sk8KivAPObEvjy0z608ZXKpPAB6sjxQE648YJy1PD85uTwDErU8JZCyPHPJrzxA8K8834OqPGUdqTxMhMc8neK2PDyBojybFaU8G0CoPHyGqDz4h6k8uf+vPKmgrzy+iLQ8rmu8PEYlvTwm1cQ8skXEPNRlwTxhZK88Y3GvPFA0xjypWbg8R+S2PNWPszwyjro8rwbLPKtmzTwwR8w8PdTNPPp11zxpyMc8y/G+PNG6zDxxleA8zYLSPJjfwjzd3r08AkTBPEGazDzTSso8T0K9PECCujybVr084bq8PBuWsjzxLK48j3m3PPSToDw4QaU8GGinPKgalzxU/aE8kNacPCyaqjwNo6A80NuWPN0tlzxp5688RnzJPGS+5TyyHgk9gAoSPcCX/TzfWO88eqzSPJlzyTxFCcY8ULTDPHr0tzzbhsA8RfHIPP3owTyhZ9Y87ZrdPPJ57Tzs4v08Osv/PPfT+jxPCwI9KyAEPVXJBD0CZ+085nrRPLwpyjy3NM08Pm/OPK9nzDzRtr082JyzPIoQqzxpXaw8JEC7POqWwjzdmcY8RQ7BPCvT1Dz++to8q+rTPBhbxjxPbbs8iUCyPGtJvTypHcQ8I8/LPEhqtzwXIqs8au2wPNdkpTxhRKA8z8alPCKtpzztVq48a0qxPAlTsjzsaa48i5ivPCVnsjyWMLA8bxTCPN18vjxWWbs8cSevPPopszxSf7k8a6PPPPYQ4TyAhOU8Jy7dPFum1zwV9Ms8rAnGPEl3tDwqALQ8dlrDPCazvzwa4sw8htzGPF43vDzU1bg899+wPEBJwjydf7w8RO+rPL9/oTyA1KM8+Y60PMFmqzyUaJs8aluXPGQ6mTypk5o8MGCgPKu0ozx2HrA8iT2rPBGzoDy7tqE8L/2sPPZ1tjwporc80Ou6PBLjujwEo7Q8u1+yPDmbujzZ1b088iPGPFHovTyMHsQ8PJq5PC+sqzzWOrk8TPzTPNrO2Tz19Og8EMftPM7O8TwFPOc8/qrfPIZZ4DxE5t48WHjOPCIW0jyBA888UdrIPGA/yTyXTM88JkfZPGEv7DzTXfE87lL+PHl6Aj3ahA09EtkTPYvgHD0LcCY96YEtPd2uKT1TJhk97DoMPaRuAj2Tpwg9So8KPUUFCT05VwY9yYkMPZsEGj35lCQ9VlsZPXb4HD1IyCI9Uj0MPYuL7jxrG+08p4UBPcBrBT2Dmgo9pnT+PAsP/zzw/QA9exIFPURaET0uEiI9nuwJPVxv6jxDheQ8xirtPFXE8jw7vv88BhQBPWQOAT2Jh/s8SjH0PCMkBD0OuxI9dvYMPYF5Cj2jgwY9IEkIPaGoAz0FbwE9HAgHPYJn9jyTRfI8E4PzPHjZ/zxZUwY9wD0EPevKBj3uexA9ysIPPfveDD0loQ89I1AKPRuKAD3mcAE9gOEDPc0kFT3yAyA94PofPYZ5Hj1xqxg9Ww0WPa2HDT2xkBA9mVgcPd8wJz36tx49CzQcPVXXIT0nJjI9sV0vPSrVIz19fBY9CLsTPWSeDD1cyww98sQQPfwiCj3q5w09frELPWS1+DwA6/E8lUIUPbsgDT0tRhA9i0IXPY8+Fj1AFBM964ELPWlBEz2vkhc9cbcNPbI1CT0FPR89P8YiPXgqBD2TE/886x/7PERpAT2jAQ09y3YRPYAHCD1xRgU9sqQAPaaNCD2t8xQ9LMUPPfVVGT1vGhg9tUAVPYmgDD097wU9D8QXPV/eDT3K4gw9ZwEPPVB7DT0yzQ49BpwSPT9c7jwSztM8LwmyPKR4vDzuONE8X3rCPMuvvzw3MLw8KkazPLX4rzyuc6I8SEuYPGX0oTw3opw87QuQPOiUizw8n4w8fCWbPDRpoTyJZp48Y8qYPJ9klzwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/1RUaPZveZT2mpXw9Gfl2PZ8DdT3Xp209KNdyPfmLhj0jwoc915OZPZuOlj0Kg5A9V3iHPaZvaD1UyIQ9j4qLPXnMjT0vIoo9vAxzPVxzhD07Qp49jfOfPXLknD0rJJ492c6bPetNhj3Jhos91sqAPRjdfj2lknw99wxxPawAXj3ijl89trxhPVyWZz29ZWI9A9NxPdQ3Zj1cJmY99Q56PTeWhD2xKYo9McKOPcpzij1ikn09bMZzPQX7dT0ZPoY93J6JPQH6kz2zUJM9GQ+JPdVSgD2YZXY9cwaHPaP9ij39i4Y9SmuDPbnMfT2n6mo9vaxTPeTaUD1/SlE9vgJRPZeXYj2M+l09C553PZ76gj0ICXU9W4NuPcaVXD3WeF09m8Z3PZ8niD1C9Ic9Uoh+PXs/YD1O+009U6FPPdYXZD1bRns9uOl9PZcHgT1czm09dshjPa+TeD0GRXw921uDPb39gT04mW09nnxbPRrnXT2nyGY9Kv5zPSVRhT0RsX89pDeIPYjPgj2V/YI9eLqKPWxHlz3BO5M9/AeMPXUcgz0ze309EAh3PXuidz1AToU9Tx5vPb3WYz2pWGI9PBFUPSdJRD3RwTw9MEI9PX+oNT1M5js9ZRZSPQBTYz154GI9xHBUPZEqVj3NhE49+tpSPccfUT1tBjo9O8w5PRw+Nj1Fsjc9aWI9PXzoUD1gDlE9OztUPaV/Uj0b/lU9+5RbPT2TTT103VI9SRBYPXvkXD2q3249xbyAPV2uhz07bIY9f/tqPee4UT2XW1Y9o3RTPYc8WT3NMGE92whRPWvmSD2byjE9M6MePSfGIT0BeC09tMVDPSqmUD0D1lw9g6h6PcwhfT3Z9lg9bcFVPQB7Tz1tC1U96qldPQqJYz3/flo9b/RLPamLOz1VZD89s81SPeIQVT2lJlQ9U6hfPY78Zz2mcGY9vt5gPeYGej3DRIU9I0OFPQLAhj0keIA9kfJsPWFwgD1OEYg96piJPRy/gD1ASWI9YhRNPXXoUT2401A9kFFOPc+1UT3HhGw9IDp4PQCgaz1wuUs98fNNPeJXRj1l90k98KhSPcvTTj1atEc9zGtLPdmbTz3WbmM9LetvPfLkYj2f+mM9PhljPbaNaj2oK3M93X9tPTDebT3Y4XQ9vVp2PdAWhD1Lj4A9DwFpPZDPWj2eB049c69FPZGmPT2gWE89L/FlPUjIaT0fsmM9iyJdPUKFVz1jblE9NPZEPYQbMT1xDy09Di0zPfqMMz2xjDo9GOdJPZI7QT2ojkA9tEhCPR9vQT1nOC09mVMjPcBgFD38Rgw94fMDPTGK4TzOftM8BDjOPED5yzwKgrw8LV2zPBB7sTwo1L88/GPAPMARrjy2jaQ8pB+iPKOJvjx8Dcg8PJ21PJImsDz4EK08fBPAPNP8pzyhn6Y8MsyvPN10sTxujK08W0eoPHFhyzwU7LQ8IeauPKlDtzx1CLs8oGrPPPSA0Dy9gLA89GSjPBcEtTxenbs8a67APOD+xjwlac08A+bGPEiUzDx5k888n0G4PKy6pjxLfqc8qh2tPM/sxTzKcc08f97MPEtfzjydkNk8DJXkPJWJ2jxJ5dM84X7OPNeawDxAgsQ87vnEPJ7dxTwNick81LfIPOf00jzaGOQ84/LePMk5xzx1qcI8YpfIPOhJtjz3J6s8G7+XPJDpkjzt6pc8xriqPGcnpjwlmKU8tniPPDicjTxpApo85ljJPA//3zyIH+M8Auj7POaIAj0/uNk8YOm+PDFLujzYnsc8QbXMPB2byzxVR8Y8UuLWPPKe1TxdENs8VWnnPHeD6Tx0e+08BwL0PBscCD0REQs9eocAPfoG/Twbwv48lFPbPM5uyjxmF748eNy6PNlzujx2TrY8IySwPMsZsTz8e8k8RkbbPKzA3DxmUN88egnuPDNa8Txg5t88Tb/UPO800zyPtsk8P6y1PGRmqDzh26Q8xvatPKhxszwhhb08AUuoPKmypDws5aI8mBiiPDp9oDyqDpo83T6iPIJBrjyOVL48HG+/PGiPzDzrU+E8V//MPOqUvjz0hrs804+4PKnBsTz8PbA8crbEPLzKxDzOnN4855bvPO4V8jxwSNE8FHrGPK1mvDyHgro85jC9PDD/yDzd9bg8FlOpPN9EnTy505c8PqenPBDbrzyp2rs84Le4PKgjvTz2s7Q8EB+1PNEyvDx3D688gP+dPHu/nDwhrZ48+TqfPHk3ozxABqQ8JmOcPGDoljwxUZU8W2uWPCYPnDxX+aY8puO2PExhxzyGdNI8faXPPEWzxjwhhcY8LsfGPJDlzTyDC9Y8viHUPC7MxzzaE8Y8X6XaPGEv3jw6b848rxDPPLLE4DxD5PA84LbzPHMm+Tx4v+I8VSfdPM350TzS8tI84JvaPMs84jwNbeQ8T/noPOAP9zyA4v08k5YAPfRKDT29BhA9h08ePYIsJz129Ss96XYpPaK/Iz2VhR49xZwMPXDTDD2FKhE93SQXPRtwFT2TkBQ9UFUXPf3nGz04ox49eVkiPX95CT1vgQk9neoLPV+CBT16ePU8JB/9PGtt/TxAvAA9p8oCPe1Y+Dz0AvU8VNjsPLmj4jz5xOg8T3H5PHok/DwVpe48Pgz2PBnw/jzaRgA9LxP9PNJe8DwFLPM8fpn8PLGOAD0m4QY994wLPfYVAD26Pvg88uQAPeDn8TxdEvY8rXjoPKtI/jwEqAI9pQkOPX6ZCj2irgs94P8MPdigED21fg894ZEVPSjBGz2n9Bg9VA4dPRb3Gj2gbRE9FIEPPZz0ED1sLRE9ongSPU81GD1fbRU9jIEUPcLBFj0QZhc9ZHUoPYfxLz2/xiE96awrPTs+JD3jhxw9asQsPbyhMz38cBs9JQgQPVZcFD3mKRg9nlsWPW5fEz118ws9szQJPTiEBj0kdQ09wDwOPatg/zy/BAc9se4TPbKXGD2EXh09tnMUPcMvCz1g4Qo9IkILPTAyCj25UQ49+oMUPbzuED3mpwg9cGMHPZrIAz04vwU9QQwPPYOFEz2uYRk9yywZPQsZFT3nSRE9WkwJPSaSAj0MrBU9dzYcPTVXEz3+5P48vaX4PBB1BT2S1Bs9MNgfPTAIFj0t7AU9XNLuPBRN8zzV7MM8iEakPJZcnzwyjao8uAy5PMORsDxU+aM8th2jPPIWqTzI96M8YfGJPMnvbzxplIM8c82BPBOCbTwjD3M8W6aHPFeTmjzg7aI8M/amPEOtqzy/P6w8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/ulVgPL9K8TyITFA9/LBjPdZGZz3xn3k9DCx+PYY6gz3b+ZI9ZU+UPZADlT1Ko489dPyHPX/jdj2y4H89zF6MPRdBlT3MdJE96quFPcAQiz2ppJw966CZPcvAkT13xZs9xpqUPe9nhD0cH3w9IsyGPbqNiD2GuYc9VmCKPVVhfz0gAnI9PTdoPUiUXD1N71094axnPSTChz1+aYw958mDPW+ujD2rgYw9hjWIPZskgz27CYI9IFqOPRgrkD3CnZY9XV+XPYTKij3gYZI9pySDPcSbdT0lt3Q9TtB0PWAngD3SbWs9OEhiPWw0Xj2fEW09xY50PWUxYz1BIls9vjhQPfteTz2UdmM9FVp0PYK8bT1S2mw9xBtkPU15Wz0V1lQ9G1RaPbYhXT1uOlY9AcJWPbdfVD3YMFo9f9Z5Pb8oeD2FP3U9RbOOPbuBmD2HLo49HcFyPY2haD0DXm49G5t1PQ+Idz20umc95VlTPZaMZD0xcXE9pFqBPbTaeD3STm09v+t1PU0VjD1paXQ9qDBkPeeYcD38+YA9PJKHPbrQcD19/WA9/81nPfsKaT1gAGY9ebR4PSM6hD2YN4A9L5p9PU6Agz3icHk9AsFaPdlBUz2l+kg94qxAPRKBRD0aQF490wdYPbmOUz0qtFo9jtlZPRO7Rj1RaDQ95y40PVCSNT2yLTc9o3Q9PY/QST0OW189w/J1PSwRgT3IyIY90J+FPSr4hz0YGXE9T7xqPUfBbz1Rr4M9GbOIPSoHhD1Olno9Dc91PUhnbz3rPWU9mQNjPVEfaD1tM2A9iyFOPQ2TQT2u0Ts94tU5PaSgMj131Tc9mI9HPaUgTD2aEFI9yOdRPWjnaT1lhmI9R91QPTOeUT1j2Vg9o7tjPSQCYz13Akw9LEJBPY9CQD1dD049wu1jPcD9aD35HGY9FPpzPV0ufz2CKH89UTt2PSwLYz1SamU9JCJmPdEsWz1zd1o9aR5ZPUkiWz1qbXI9qe5qPexfWD2IXVY9v4hjPR+kTT0+XEo9/DdfPYXCcj32rHs9XhiAPRITVT2RfEU9xY1NPTSzWD0VmlQ9lydXPe0UXT3lsVw9v51iPVi0YD1J9lk92elZPbiTZj2OcGI9W6llPcnYYT25bGw9IXBqPdJDWT3PQlI9TtpmPeP5dz1Z6YU9SfCIPTErdz3xE2E9A89bPTlYXj0gelc9M75iPY+pZj1c8V09RopSPfCKTT2vmkQ9pktNPTrZRz3B9DU9hMQuPXzlLD2mRik9rL8hPT6LMj2aGkE9Djo6PcwBNT2PjzQ96U4kPSY4Fz26lhU9HWcKPTeTBD3v3f08OUTrPBU30Dxhucc8sZG3POG3sTz5LLI8ufGtPBNZvTxeXb089ru1PMCutDwoAbE83u2vPBStrzzm6LM89zq3PL46uTzaXLc8w5O4PLtmpTwGEqw8zFa4PMJBvTwKpMY8Jje+PAnyxTyqnMs8q4fOPECVxDyf0sE86Ui4PEGjtTymqa88QJqvPBqJtzw+h7E8yj/CPPTftzzz8KU8pVKjPJisoDxd7Kk8SM6yPFuYrjyMwrE8ctOyPGtjwjzWmtc8w2zgPLN23zzBBdg8gmTTPGai6DzS4sw8c6vKPJrMyzy+fsk8FHTIPMkj0DzbotA8QLjBPL/0uTyiOLo8DQG7PF32sDyb8KY8VquYPC0MjzxtY5o80BefPC9nsDwqpLQ8tnqyPE1qsTwGwb88mbrEPFkG2DylTt08lTPOPJAhzDzo18o8/5bHPCbuuTwl0LY8hFu+PIObxDxLW8Y8VF7GPDjYyzx71NM8sjvfPOxi7zymAv08+xACPcaMAz1UIxA9eIgIPXU38jy0x+w81TngPIwI2zwfZtw8EdfGPH9JszzPeLQ831WxPJYUrTwUuLE8DCzFPFgbzjx2mM8831vVPOAU4zwTqfA8rC/oPH4T2zxyf9g8Yt3RPDqruTwvFKM8zwGRPB03kDy82ZI8GUmZPP0FizxNRZU8/OySPLKmiTztnI08K4WjPCtTozy2P608+QjBPMsluzz7fLc8AkCuPEhWtjwu4Lo8Nk+zPLC+tzwHAbk8aJXCPJOc0zxhiuA8N+TIPNSZ0jxi5tQ8qvzUPJ4GxDympLY8j06uPI90tzww5LQ8sEulPLDwqjwnQKM8ifGtPCHJqTzn+7E8383CPA4vzDy1nsc8vz+uPMG1rTyrd7g8l3q1PP5zqTxmuac8uHOoPOMDqjy2VKw84aKpPNoPqjwMeqg8MtejPP15ojxPp6U8KMixPCuGqTzvG6g8Mke0PIVzujxHds08UabVPARM2zzFGtY89TPUPIbk1jxvmuE8LgPrPH4/9jxR2fo8WeDmPMRX5Tw4U+Q8+bThPIuV3Dxl4PA8ts0FPV6KAj3I/Ow8eEzaPGzk3jwd+vM8cZT7PAhP+DyeP/E8j0v+PH0vBj1t+hw9Z54mPfLyJz0EvSs9O0QwPXVVKT0nRiU9mI0dPS49Gj2KIB49VJIrPQ46JD22ohE9u9kMPQTZED3LHxc9CFcaPZ1JEj1qFQs9PkcJPVPaAT2yT/Y8kDjqPMw42jyKReI8lXPvPPM2/TxsrQU9nA0GPawb8jybKeQ8/OjoPPIUAT0N0Ac95XQLPYjDDT125Qo9U6cJPbGEAj0K7/c8fjYBPQKf/DyF2wg90lwNPT5xCz1cjvY8QDn6PMaZBT2TTgU9rccDPej5AT1f7QM93VEHPVfoEz21jRY9naUZPaqTED0s3wk9XiYWPU6bKD1LQiI9USoaPQeqGz3HRR091tgQPdCJCz0owgg9PqsGPcQFDj0T1ic91GEtPeT2KT3z2iY9GbAiPZneHz3o4h89HjISPaKuEz2uchI9ygwTPdURHj19BRc9IWEIPfwpDj27EQs9g04SPXP5FT0yHhQ9MmkbPdJ3Fj0hgg89Db4KPaqLCT3h2wY91g4QPShBID39OSM9pyElPRQDHz2ZSAk9IMMHPbLvDz0uQhU9BYsbPbQrET01WhY9Q4MUPSVtFD3fzw89KZoHPc7kDj1pYh095OEUPcsEDD39xAg9/ycFPUm1BT3RDQo9x2cMPVKXAT0AnwM9YGwBPY3lAD2Y9A89TssIPV+0/DwDf/c8T5bwPPX/3DwDmcY8rjCuPBbDpzxlU6o8zwOwPBJCpTyx6KE8BjurPMiPszxpK7E8dImaPBDTezy6r1o8l0hjPDKVYTyivWA8ist5PDT0kTwq+rM8jlDDPCMtwjwGb7w8zOa5PAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/rUsgPQ79Dj20fSc9NJNlPdQTgD330nE9R7t+PXAVij2JFpc9ji+UPfbskT3GbI09JQuQPUm0jj0ywYg945h6PTKpcz0OmYI9fBuDPSDXij1Ccpk9ln2KPUtGfz0yIHI9ZJpwPRdGZz0sImY9MTyAPe5ujD2CQJA9tmaPPeE/hj2Okmc9cm9rPURnYD2sbHs9zGOKPeTpjD0nvIo9Le6LPT1YmD3WOpM90xuJPYgQhD3wEYo9zk+UPTyElj3dZYg9CBiIPQZijj0V1I09Y4qGPW0hcD26wHM9DgN+PSt3fD3gKHM9bEBTPViGUD3cY2Q9LCOBPY+dhD3BdnA9+oVbPYHzXD3dMV09yfxjPVb4Yz1hSmo9TSJrPW4IWD3JClY9ziFRPczoRj04yDg95vM3Pba4Sj3Z0lg9wq9mPVj8dz0zDn09UGd1PT3ljj1bpps9us6LPZDwZD3GLGw93ehXPRAPXz2Jz2g9y0ZuPZcfbj0JE3o9rNZ2PQ2/XT1bnlo9iCFmPZefXz0oG1s9qRtTPR5bUD2bclk9UTBWPQcLWD1ehls9fSZlPckicD3/3Gw9mChhPUCOcT2jh4Q9OjWCPeYygz1eIIQ9OUZ2PX92aD3xkE49yMZKPXJdTT0vTVE9IMlfPSUbcT1l1WI9o0tOPTVGPD18ZDs9CTNDPfJfQj3mHUU98T5IPep5RD2zkkY9g0BfPZ7zcD3jSWo9e3yAPVVdhD1sw4A95PR4PeSvcT1pZ3A9s4FvPSH8cD1NlGo9g1h3PYrciz0O+4g9gQdzPSXbaD0OUFo9RYtRPctePj3KuUg9fmZRPZANVj1wrlI9nkRlPVHsWj38t1w9pM1tPXtYbz0maXM9tAGAPaebcz2pn1Q9EbtMPfmfUD2X7kY9c1pBPaqjWj2ur2M9hmJfPfaIYD1xDmA9l/1hPeWkeD32jXQ948hXPae1Rj2ihkI97QFBPbwSTD2CcE49U+BNPeodVz1Rc2c92ptmPfzcbD33F209OxxmPdNuXj3JpG895WdsPXCgej0yBm89xllqPTbUVT2tAFE9nHBPPYxuWT20xGE90EJnPf/4YD3pe149iL9aPW3VYj2EFGY9Uy5iPd37bD1HH2w9aTNrPWdUXD1IyVQ9kOtQPbVaWj2ZnVQ9UzVOPbuoYz0TeGs9WkVrPf84cD3iOnE9wfF4PTaabz16H3I9Yot0PSPXaT2f5Gg92itPPfPnOD2rTUQ9Eb1LPZw6Rj0pKEg9mQI4PcEHLj3z/iw9eTwuPdwkJz0rtyE93dofPfZeHz1HeB89b4soPZ3DHD2W/Rs9rp8lPXNiCD2gvvc8OuvhPAUI4Tz899M8NH/BPCs3wzz75sM8oFzGPODisDx/Abw8A6WrPD/gsjwlOLw8h8uxPD1muDwGesE8gBu/PMgytDwd/rI89W+pPOSHqjzZhaY8WsSsPHZXrzxqNrQ89vC2POCguzz3ocI8RIzCPHEdwTzg/ME8SbbOPP1hzDxySMQ8qtK3PFA6vTyVa8I876qvPFqUvDzN97M8HeylPKTCqTz5ias8hCSxPBAfrjxiiaY89ja2PKRmwDwzsMs8IafaPMgB3TzuWcg8QBHTPOjA2jxTXN48J5HNPE35yzzgweI8O4zuPOds5TyYK7M8FsyjPD+TnzyIYJg8DH+UPNEXlDxCGZU856qbPICmpTxUYKU85lSdPLChmjzNbK48oT7OPNCo3TyzJsw8lfrBPEnQwDy90cA87T/APHluvTzBJrM8pEK4PMvQuzwNpsc8+2TLPMev1zzHq8A8RUqwPFUtsDzKw8I891TcPEqk1TxBVdQ8mUrdPJ1K4zyC9AA95DsBPUjg4zzb4dc8BGvaPJDj1zwJbMc8F+W2PIqxqzyOeKo87e+1PM7HuDx4grw8cXq7PH4ZvjzVWco8daTMPOBr0zwBZts86G7bPD4txDzpB748fGKxPI2KtjzDbao84oWTPGxzizzBHY48DaeOPDoFjzwXaI88guWZPMevlDwXq4k8wgSMPECKmzzhOKk8ZC2iPEkrqDwWK7Q8nwizPMbTrjzh2Lo8SvuzPFojpTypaqg8UhivPDEMyTyIbs48+E/NPMQVwDyBorI8SMO0PAk2uzxPsrI868irPBGXmDxmZK480BmvPBprsDzmiKc8cuycPGKZpDyMObA8PJKyPFT9tzwvjrg8fmnJPGipvjwKwqs8zMKqPOjprjweB6Y8utqaPBfQmzzs/aE8i8ykPHsxrTznZLQ8G1jCPIMAyDzwO8A8TnPAPAf9wjxdFq48bbmtPO8Ztjz248I85CzDPK3Q1DzJXvQ8lMHkPDc/4zydC+k8Wt/+PM07+jzyTfQ8jc75PJtd8zzNiu4887/aPJubxjw4qr485lngPIwN3zyoDeM883j4PPDUAz1FKP882cDnPBDs4zwAy+k8asH5PPMk/TxTIgQ9utodPTfuIT3uVSA9eb4dPargGT15ARk9c0MePRdqJT2JoyM9Hy4pPaBDJD23oRY9GvQQPRM7ED0soxU95codPUWWET1YzgI9RS/2PHd2+DzdcPw8rmz4PGVi6DxFENg8IdDaPKny2jysUd483WDvPNVeAz3oSQM9kogFPUJYBj3C7gk9ruIQPVy6HD3HjhY9qQ8RPR+3Cz0UYQs9tGUVPaAeGT2EFA894vMFPW5hBz1YDgQ9b4kAPRBnCT2OEAk9Ur8KPd4RDz0pMQ09DxoIPeK5Bj3xwhQ91egXPRDdEz17SQU9z6kHPb9JFj1XTRo99mgKPRYiAz1JpAM9Je8PPWuKDz3kPBY9JmUMPXSzCj394BA9TgkbPaqlIj3zli49cd4xPeioMj1nuyw9GEUgPbRAET1vfgg9jB4EPcHeCD2eYxg9KKwUPTgxDD0BhhQ9klUbPUpuGz12xgo9s60FPTBxGT2qrRs9+MwIPXgkBT3Qtgc9yOwNPdaRHj2S0hc9RiISPVgPCz3sshU9WLQbPUntGT0ntAs9FdsJPbdIET2F/Rk9GTEhPexxIj35pSQ9ueAWPTiW+zyDG+w8vTn+PEG0Cz2n4Q89tm8OPaciDz2c7gQ9dzYLPRfBCD0U4fU80XH4PH+u/TzqdP08yBIAPYnS8TyM++Q8eWDfPKfSzzyX28U8QaKvPO3ynjx1Aac8toapPB7RrDwrk6I8kKSoPPmSsjxyX7M8qtanPE/lhjzUl1080uhxPMhrbzxsKWs8mfJ6PN4FijxwHK88GjnOPO2B1Dx+0NE8sNnOPGJ5zTwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/mJGfO+VeDD24oBs9PetSPVTugz2seZA96IWNPcojgj0hVoQ9nDuFPUxljj2MV489CeOSPfw0lT1l0449TESCPUL4cz37KXg99cOHPTJThj3QeYE9VRd+PXZRfj0yHoE9nuJ3PS9yfT1ycIA9bmqAPZEjiz1K0Zs9abiLPX4UeD30aHE9KepuPWAMfj2wr3I9HnR+PT5Gjz0N+449jUKJPWRvkT2C8p49rLOUPT6djD0ao4s992+HPZCfgT0KwHw9XxNrPafCYz2/RW09yB1tPY4Taz3GhWU9WZtuPRIneT3vHnY9HtJ+PfVNYT0Zr3A9AMmDPf/fjD3f0oE9faRrPQuyXz3ZEUw9uA5UPZdSVD2PMWE9R8VdPe3rdj2PNX890BJnPaBrTz25ukQ9bVpQPVfJUz2PFGA9lEdyPQoGfD1aTYM9k/qEPY64ej1l9nY9HuhzPU1LdT1OgmQ9eP55PTfcej1jQXQ9TwB+Pe4sfj11qnY9HS9dPR/OWj16vGo9xmtuPV2WZz3nIWI9AWVmPetqXj3gZ1I93YhOPdpwVD3Ad2c9/aZiPS/MZz0Wvlo99tFOPWjMQz1KNWM979d4PSlueT00A4c9jgSJPaFZdz2us289JhRePe7aWz251mM9/YthPevWVD1xCk49p8BAPUhRRj048Ds9OZc2Pe00RT1NolE91m5HPZ+NQj3cYUY9I5dCPfC0TD1mkEk90atEPTMhVz33kWg9hxFsPWEQXT2GCFI9+59FPYaWPz3NE0U9NTFPPfpPcz1GRoM9JMBWPbl6OT2i8Dw9RxhAPTLfYj2Ni1U9G89MPSZwUT0kZVM9+XRZPYomYz3W+109sN5jPRuCbj1b4249B0huPboTYT3acEA9kggxPegFMD3TITA9M/gzPda9Qj13g1s9bTRMPcJCUz2uF149yrBYPQ3fSj1Cslw9+qJLPYKzST2D30w9XYlbPZRTYz24TmQ9YBNSPctBVj1ut149TPdrPc7UdT0bEG89lj9xPWQJcz2WpnI9C8tpPTlIeD1Lg3893ltuPSa4VT2310Y9B/NcPYIRYT2vZV89TihmPbp8Zz3GOGs9uatZPYpaVz2qCl89Ji11PcV1dz1E4X89ff1vPZgfYD2cAFw9rMJbPTQzWD21KVI9z9F0PaPIbT2kJFk9ZlduPQpwej1VIIE9eLl5PYrpcT1pLGw9wkxsPfl+bD0aWFk9Oc1dPUDtSz3GrTQ9gKRFPVU3Tz3QgFM9FOs2PeAyOT2i8Dc986cwPUunLj3sLiI9CPokPRzXHT2pQhc9RDEYPawFGD2dyeg8B6C6PKKeszzahLU8/1m9PIH5vzz73tM8v3W/PBmVrDxjudg8jDrjPDzX2jzXArA8XoK7PNT2rDzRDb48Tk/JPDrhuzz5wL88kVDKPAR5xTytgL48B9nCPNxGsDxNO6Q8p4SrPA+RtTz9G7s8mgW9PBnH3jxy98M8hqC4PHXktjwfEso8KFDPPIhy3jy9gdA8sca9PKzGpjxLFK08Xe2xPOU/tDznW7o8WpOrPBSkpDzIDaM8ekekPOMAtzxhIcY8THa7PLVwsTwrjKU8JqqkPPhjszxNMb88xvW8PCMKxjyOPMk8Pu3LPDEv3DzxN9A8SAa5PEZiszyPXZ08JbGcPBpJqjzG3qo8KY2hPH43oDz0X6A8UlOfPNFHnjwgcag8uY+sPPmetzwy6bE8TE+vPD9qtTwcPss82NC+PElGtDyGqq88qxW1PCCaxTwgKbM8I7exPNAVyjw8Lc08YqTIPDr2uzyyc8A8oYTIPOPczDw3nsw8S5XNPNEF1TxyS8481S/UPBNt2jyJROI8Do8DPU24Bz2WSOQ8t4jUPJx23DxkOts8QrfNPPPKwDyTpsA8VyvIPDTsxDz1jcA8ARqyPMm8sTw6i7U8Z7i3PLPZuzzWAb08PCnBPEJAvDwSW7g8jKzEPKXDsTwVjKo8uPuVPBbaijwb84k8te9+PJNLczyJA308iSOSPEdcnzzJkZk8udeVPA+RpzxwWa48A1C9PHiYojyaKpk8qqOsPBpTvzziI8A8qmXHPEHyvTzbG7M8HuK6PLNizzykRNQ81B3iPOUx1Dy0Lco8Q8bkPLyR5zxobtw8kr+zPPI/oTwnmqs8CZ+xPGkFrjyrC6k8bPWhPMIJkzzWg4w8GQ6iPDFkqDz44rY8HjS/POcewDyO0bQ8Tpe0PGngszzhK608lZajPB0HqDwWZqY8B23BPE2lvzyJWbw8ybu4PPFcwzxsy808pcfJPCG+yzxQVdQ8msLOPOWGtzxHBLQ8GXbCPLFOyzy1I9c8vRvXPACqzzwKLMg84GLFPGcZxjyuLL48XB3BPLG/6DxJ+ec8OQ/yPDD18Dw8V+U8hPPePG793Dycecs8oNDSPBFU8jxvLxQ9gVcRPRmsCT3McP486q35PK5dAz1OeQs9cMEGPR6dGj1ktRg9q14ZPWuVFz2AdBI9ubMWPdhKFz2PWxY9GR4bPaoPJj0nsCo9TrkePSmBDT0NGwI9KNkCPcYzBT0LowU9Ls8APY+38zxXN/E8kPXuPJq26zwddO88TPb6PJNuBj3W//U8OWXzPBKb+DxkigQ9hoEPPdp1FD0b1Qk9RYYHPTfOCT0B/Rs9isYaPfjpBj26bgU9pboHPeG6Bz1rfgM96rkAPctxBT2wzgs9QH0PPaxVEj3R1w094ZQGPa4REz3i3RY9ksUQPWW1DD1YLww9Qf0PPbA5Dz3JTxE9ve4TPUZoFz189SU9HTElPdABHj0yXxY9QO8NPWUSDj0Jwws99JIUPU84DT0oWRE9HcMXPU1/HT2MFB09ILscPbiLHj3MJh89GNUaPZunET2d+hw9Uz4ZPYW2Fj2FcxM9ursWPeuYID1zqxg9JswRPefWFj3O2BM9QRoIPY7GFT24SBk9M+cXPTOpDj3mNwo91GIAPQbO+DyZ3QI9+MMWPTGZHz0+lRo9b4AfPWjKFj35/gI9iIj3PO0kBT2INA49Uw4iPVOSJD0Yahs9xx4TPdJ8DD3MWQI9ETLsPPr2BT2lTAw92LQGPSeY/zzifwE9iADjPKZ01jyOudg8slXKPEfSyTz1udQ8L9HgPInwzjzIGMg84b3BPFwOuTwuMbM8PNy9PPndtDzlqpw8+CuhPDqirzzfeKs8W4SaPDmisDzQjLw8MsW9PD/Cuzx3s588ITKDPPcffTxEkHo8/vJ/POMwizyuhKU8IYq0PJO50Dymz+g8D/7uPCp/8jytH/Q8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4AyIzzfwK88wAxJPWouej1tFIo9utqFPXKqgD0KIYQ9ZziEPZAVfD1qOGg9vzdePfFZez2t5II9BpCEPXDLeD2GzIg9bQyHPRsIhT00Sns9AfpwPeVgcz2t8oI9OaeQPQk9jz0fHYw9rYqRPdDjkD2NqJs9+lWSPVtAZj0um089YcFNPYo3WT3X+XI9K7eFPWv3kD3qkY49CNqIPY/+jT1wGpc9lImQPY4rgD2anH49e3mBPYC+iT3C04E9S7FlPe/LXj13bWo9kHx9PcKVfD34+349WzB6PTWThD1rboM9rKl+Pfvzcj1fsWs9HbZrPUdCaT1jcVs97ZtRPTpETz0CCFw9FdhbPZsrVD1/Ilk948VUPXHjZT36BH09u0BoPULRRj2Amzk92DY5PRcQNT0lrEw9GfJePaL3aD33tnQ9T81+PVjGhz1+3Js9G/2IPYwddj1wFGw9fgB4Pa2/hz29/II9sYiBPX8Nij2IYIw94omHPcQxbj1cW2I9iK9vPVZvZj3quWI9EEBrPW5DhD2AEGM9o+tSPVw1Xz0922c9V9JfPeKJUj2zYGk9TVJjPY9JYD3YGGg9mN94Pd3MbT1Z9n49CJOJPdlFfD2IhWc9/bNhPUjwZj2ha2Y9Cx9yPZP8az3VwU49NZ84PeKtQT0MFlQ9wttZPQKeWz1px0g9qcVGPXIjOT0Qkh89RE0VPURZFT0v1R49Er46PfeySj1mPlA9xGdPPSRyTz18eFY9z9hFPTjULj1VMjU9QtY/PQhXQj3bD109UbZXPaZkOD2Gejk9p4ZIPTppTj2ryVg9/opUPVxZWD0EWGI9i0B0PYYcdj2jOFU95mNFPbH1PD3GITE9xmcqPdrfKT1haTc9DIhCPdogTj23REw9o1dFPULaQj0X3j095xk/Pe2UST1F2lg9b6hXPdBGWD21zk094PJPPTO/XD2JvWI90oxaPXMhaj2XhXI9cPFlPTS5Uj2USUI9J0Q+PaGtXz3hzGE9nNZvPQEWcz0F94I9szKHPScIfz0yA2I9/B1aPZJVSD2kwkU9stJIPQ4gdz3umII9pvBvPSGTbD19+3I97352PR3+Yz3aSl89YGt1Pchrgz0von49b8l4PTp5WT3SRU09QA1cPegeZT0W/Vg9cThVPW2STj3YZUs9ooZMPWwjaT03N389oQWBPcY2gj07x3k9WftxPQsxdT1Th249gsRcPRjAVj2rEkE95f01PTREPz3ewD091ZtBPeS9Rz0LWlA9raZSPQm8TT1EgEM9ezMsPYriBj0I9eo8hd3XPEQ9zDySBcs8XtDBPMWKsjzNxr08rhXEPBuMwjyfz8A8XyC8PBTmtzyyoL08l6O9PD2LvDzb07w8EwnFPDOr0Dwhq808Uny+PEE7qzzbrao8RUe9PPH7uzx+br08WqTAPNK8uTxFvrk8OXLDPJ4lzTwx9sU8YtfMPP4xyDzQc8k8E+3SPO68wTzDxL88VSPGPAPdyTwZbss86mrLPHMExTzNV8M8wQK7PHYhwDxGAb489Yy6PAHLwTwWcLg8gNG0PHT4sTyWU7s8OZy8PGdrvjxaULk8hUOmPAO9rDwKSas8u5SqPJJcxzwaLc48ZpzePBIk3zy7tco8YSi0PDcPpzwvmaw8wxqlPG3spjxT87c8wVS0PE86sjyYJrI8IUClPAUPpjxlDrY8/A3NPDCJxzwOqsk8YlzHPLVfwzx12bw8OivLPHAB0zzJv888M0rGPKeTxjxGOsg8BW3MPGyD1jzt0Ng8GCXiPN7U3zwdMM882/jLPChSyzwwF9M8QLLePPyZ2TwzV8s8OdLMPPFz3DwRJec8TmD3PJscAz1vXRU9MUUMPYG97jwXiuk8YJ3fPCS10zzWmrU8ziKiPIgSrTymfMU8sUrJPJ+cxDyOyLk8Mkq1PA+dvjyIcrU8/6azPPN9tzwFPbY8WW2vPK/Rrjx/TZ086eObPJcHmDySv5Q8N1OTPCsHkDxGG5A8uzWWPG13qjwNeq88d8OkPGPosTy/WLA8ySS3PBtQxTzGtaw8O2WhPKHapzxWccQ8SyrIPJMrzzyb3L08l3KuPCupwzzcO+E88O3ePMa02TwyTN48o7DHPIwttjzLzLU8yD23PJi7tTyZh6g8TMm0PAx6pjwN6pM8lnWUPMxBkzzpx5w8m6yjPJw5pTxHWao8l36nPMH+rDwR4qk8rD6vPKBGszyLlrA8Bb+rPEfTrzydfqo8R7+1PJHDzDzHSss8viDAPFO4wTyOfM481TfrPLZM2jz7G988y+3nPOWg5zyZn9Q8HYrLPHvJwTysbb08RIquPEuWojz1eKg8WyWzPLoYqzyySq883gfBPEcZzzxDPu48wkr/PPiN/DzGnPk8VqH2PP7i/zy8iQc9GrABPfnE+Dy8FgE9zisLPciDEz3Pjg49tMX9PDx+BT2oXAg9Bd0PPT5aFD3EWhc9vqEMPdkMBj18rAM9luYLPZb0Cj2lUAc9j6oNPTT2CT2tDQ49faQTPYvMGD1uhxE9/0kMPSv/BD35Ewc91l8QPfUs/Tx+sAM9Qof9PGil7Dz0Z+08Otb+PNojCz0gKgo9qGoJPdmgBT3WgAE9magHPR9zDD3e7xE9scsFPffIAT166Ok8oY70PGIh9DwQH/08eAT8PCyfAD3aUvg8vC4BPREzCz2sshI91ugYPWhUFj1llA89cLAbPQDgET3o5hQ9t8YXPc1YFz1NDQ899p4MPe3+FD1n3wo9oxwJPSxnCj1nuBA9kgYiPc/ZJj3Kghs9QeALPZ5kDj3lgxU9a0QOPf/bFT3APQ09F04NPURiEj1X3Sg9xZ04PaG1ID1nmRo9LzYgPSwsJj0INio9zh4mPZNwFT068Q89Ub0UPUdgHj2W+SY9kzUoPeheFz166As9SPYJPRdtDj1stCY9cFwZPbhMDj0ngBY98DoXPUX4ED1SdAk9QFkCPVq/Az1l9g09fm8QPSMACT2ezeY87tnhPHQ/Bj1Eqw49TkwZPXCqIj3QEiA922AFPdMW+DxXJgE9A4oGPQCDCD27Fwc9j6gDPRZQ/jyjBgI9hNcDPdOD4DxQeLk8LuOzPPUiszwdGrg8K9fGPAqR0jzoGOA8CeHfPBfTuzxo8qw80tOxPD58uTwM8qc81R6mPKRlqzyOmac8Lp2ZPB1vlzzEeak8JvKiPLdlojygcKw83he2PN/ajTym/G480ZR5PM1rhjx234g8x3GYPINNpzx8SK08Xqa4PHyHwTxtkck850zNPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/H0c08xK4MPbZ/bT2o4Xk9wriBPQBBlD3Hw5o9OvZ/PRV2Zz07dGM92glRPXz4Sj0mRXI9kOaNPRjmhj12u3s9i15+PYGCaj2Ucmc96HR4PS2agz2VO4w9ExeFPdo+kD0RrZ49C0+YPZVVkj3h6Ik93jqFPRcehj0m93I9361qPSRkbj0R9nI9ppVzPYGrgz3NbJI9RqqWPYJ+kj0Oops9u/uQPXoSbj0VvGw9OESAPToEgT1kvHk9Mi9tPUe9ez0x8HM9uit4PVkTfj2+3pM9nj+iPYVzmz2RP4s9zzOAPbd3eT00SHw9k9R3PfymeD2Q51g9O/9HPV+oQT0qD0g9nvtSPZyzUz0IiVI9zTZgPZMaYj2ZnGk92dRnPWACTz2FkC89wmgyPQ0gNz2XX1I9Ay+DPXPiij39L4g904OCPfVwdz0RbnE92zlzPeJxYD3aH0Y9DSNTPUHjZT18mFw9MzpdPVGUgT3V44g9Q2qKPU56hj0ImXI9SZpkPY8fYj2oUnA9Zn19PSCshz26G4o9mDVvPcIvSj2ohVY9HstcPa76Zz3lnYc9mZ6BPbGqYD2ubGk9QEFxPUafcz2NS2k9SVFcPXD5ST0CnkY9oZBHPWlyYT0ARmw9n25YPdbwWT1k+0w9FvRJPRQyRj3p+049cB9CPVjTMj0FXS490aYsPeCzNz3mDDE9m7ctPe0AJz0tnjU9Cq08PTkbOT1abTI9TsBEPa+XTD3wH1U9AuBgPdx6Oz36pC493tpEPQ/GYD3fB2M9OvNePbF6Sz1onVw9a5NiPdVuXz0oGGc9pxF5PSKQbz30snE9s29rPT/nXD1cZFs9LTJHPV+FRz0e0Dk9MKU8PQ1COT1uKzc9glxAPcr5Wz16gF49VCtbPYs3QD2mSTg9iks5Pb+0Uj1VJmQ9CxZ0PZItYz2ybl09/mRmPQfLbz0bbWM9QopkPYT7XD3Pu1o99cZlPQQidT0H/YM9MEh4PaysaT1tyGg91R1vPaieeT3o6nU9SvR1PRpccj3H7HA9Z2l1PWovZD2sJlE9xkZOPVQXWT1F1349YeKIPXWrjD2FtYU9vjB5PYpWbT3mCW099/1oPfQNbz2kpoE9sNJoPYlfVz1R0Tk9Wwk4PbY5UD0jYWI9h7psPQIIbD1d1FQ9Z4dPPRjVbj2kYok9VyyLPb72iT18oIU9YwiFPePfWj2Xjzc9oi8wPVtiMj0DYkM9SjYtPVfZEz1PbQk99NcDPXZgBz0PHCU9gT0kPYvECj2WvwQ9upgSPUlUED2Ewug8tj7RPDHSzTxj1r885KHBPP1cvjxOV7c8Kh/EPGiGuTw2Ub08SanIPEp4yDwui8Y8yjXGPEvHtzz9y8I8H4bKPO51zTzsk808wrzJPOv+wTx4us08GajEPMlWvzzUaco8tOfLPGgJ3TxOhcU878fAPNacvzw0q7o8wVi7PNGMuzyK78c81GHOPPrz1TxR4LQ8G9jAPCGvxDyU8ss87UTQPM2h2Dxq6Mk8nrzFPECIvDzEUsA8nyu/PEWsvTwtRcE8Tja6PMvWwTw5q7g8kzy4PBDKwDzXyMs8MgDRPPB02jxdC848g4nLPAUTxzyG9sM8vLTEPONwuDyFEqQ80w+zPP+Xqzxc8q88SSCuPOYhnDy+AZ48sWOjPApjqjxWyag8dBy3PEDbwzwU5sk89X3YPKwz6jyH7eQ8MZjaPG4G2jzcidY8N0LbPIU95Ty49888B47GPC4BwDzExsI8xDPMPBF12jxAreQ8+qfRPHpEwTzW6sI8b4HNPDIs3zyaGOw8/gDcPFE20TyK7dI8O1nYPOe21DyrqNU8dWHXPNY5zzwTidA8VmDdPCp/2Dx3fs088NbVPOab0jxGfco8z960PJqtrDxFAKw8SfbIPPGtyDw3EcY8bUHFPJBn2Tz1X9U88ly4PCykozzrHaM8FoObPBo1mjymo7U8z0WgPJUjjTznSZI8sP2ZPDT5lzxM5KA8ntWqPFZBpjxkHa88+si9PI3ixTwdhc88JA7aPCKq3Dy0V9c8PCHXPEsy4DwahMU8QJzBPBQswDy99Ls8H6LBPJ1hwjwHBM48P5zgPC0I6DyuAu487lzfPEIrvzyTMq88LAeqPIJnqTw5BKc85SisPHLwszztfKI8V9OdPNDtmjzfCZo8Y1WiPHJIrzw0uKA8cmGiPLmfpzzl96c8vT2XPFKtljwZPLc8LXu1POZ9tDzOY7w8Dju9PH/tsjxVfMU811vUPGqH0jwh1s88y8vbPKFs0jw37t082G7yPE9c5TxnjcI8i8e4PFT3wjw+v7Y85ceoPEVAmTwn85k8EjeoPCfDtTxMB7w8s9zEPGSb1Dyrc/I8SSYCPTtV/DyVSvU8Xo4CPRV2Bz0viPM8AD/7PE7T+TzfnPI8gdH5POlr8zzn4Os8HS/yPDtNBz01OA09lBkLPcB6Dz04qBI9bZIMPbo5Ej030Bw9i58aPdeTDz1IVQU931zlPBId7DxYVe88cBnsPO4uAD0dVQs9oH4WPQHNDD0CI/w8olr9PI6LAz3W6fI8s/T8PEj9AT0kLgI9ih4CPeq3Az1ucQA9pAMCPdrMCz3aVwo9eLYJPfT0AT3iIPs8U6oFPZMQCj30fAU9HR//PEQ3BD3WdQE9HEr/PAvA6TyI1uQ8eeYAPUBrCz2XQQU9a44EPXtTDD3c+BM9bsQcPWJ3Jj1wLx89ORgXPRejGD3Xoxc9JFEOPWMaBj0GXws9/gwFPRfHBz1JvgU9rvMMPZ8yBT3zOhk9bl4XPajkED0gQxc9tA0VPai5ET36GR09vAghPWOwID1wix89nIUdPVbxGz0WTRQ9XgwgPeQuJT2MaCI9CswwPYodMj1hfis9j5coPVoIIT1MDSU9G1EiPYq0Gj1j+g49mOUUPUn+Gj2wvhY9FhARPexSED3RMxM9Fe4ZPTABHz0IdCk9cZEcPYvjAT3TxPs88TsDPSKQDj0SbwQ98VnhPMfa6DyghRI90CgXPWf1GD1cih49jKsNPVax5jzDZes8wUsBPfkhCD2LRRI92BEJPW+i/TwyLeg8jOzrPEwA6jzsbc48dzuxPCaBujxdB7w8lDi7PJSKuzzIYco85e26PM8TljyLXpw8MvKsPBrjwzz2f7I8mPqEPF8hbDycQ4U8msKMPJyMlTyRjJs8z7aOPPDkhDzKJpg888GhPPOaozyq4Zo8O4GTPAbcjjwtK5A8ocKQPJE5kjyRNJs8Ff6uPMPcwDzeAsw8YArTPNMp1DwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/0mg6PRYQWT2bxow9R2iOPRasjT0BooY9N3puPWU7Uz14+kc9HvJNPcV/UD2YZGQ9Jzt2PcWKij3v0oA9SStpPeJYYz1GFGw9zPSBPaHzjz0heY49YpyLPdiRjD11FZo9+huaPfDliD2GX3w9fkl8Pdhejj2l/ps9EJKWPaY1iz0ggYs9InSNPfLgiT2QeYU9YaKKPQTFkD10yY49QMuNPYcqhz2Gk4I9BStqPeZpWj2cDVg95/xXPdivWT22M3A94LB4PZ03iD3G54g9aiGNPYoNlT2Kj5w9bzWRPaGVbz16lmw9FGdmPVS4Zj37DVM9OLI+PfN5PD2FSEQ9DctUPU5TZD296WU9G8p/PWrLij2ocYk9CoGIPa5Idj1vxFE95OVEPYi2Sj2PClM9I5R3PbmohT023389ReV5PfVbZz24WGI9PcJjPYczXT0IpVA9Hq5EPX1fQz2f3EI97rRYPUspXj0yUlw929lVPSyjbj1H4Xw9CHODPetlgT2yBYM919KDPYi/iD1KEIs9+ZhiPRfyQz20QFA9xIBtPU7WgT2C24I9BzCCPY6Mcj1fp1o9AlNVPaFBTT0RzEk9MHs5PZgWQT0c5zw9p2c5PQ7gOD2K9kI93mZBPYXQSD0/IFA9GS1FPTrCOD2xli49CEkuPR7XHz1LsCM9uz4pPSklKT0xyTs9SalBPYKkRD28eks9CINAPfOXPj3itkU9H1dNPSZSST0Wf0g9sZRRPXbDUj0qflE9oq5TPa92WD1GDms9FX9kPVPbYD1+WWE9hNZjPQyDYD1F81097DVdPY7BWz0mGlM9MH9hPUtRez2xCH494SRrPV7zYT1CO049reFOPe3ATD0nTD89jaE8PRkEPj352Ew9eKFHPfPiQT3M70U9k1lKPZyoUT0kclE9FjZNPSpSRz3m9VI9RydWPYRnUT2122g9dw53PamwcD0JwWs9GVVlPfbgbD0swoA95uSBPXE/hz2zsIo9YaqKPfbohT1xPnU9fClzPbTscT2ciYI9ZtGCPbSrZz26alw9KMJmPddjdT3Mq4E9FkWEPYdakD1NjYo9sH58PTt1az1/JlE9qVpPPUNqVj3VJGE9KyxpPZdoXz01PXQ96XB1PSOmZj1s2Fo9lglgPeSQaj23BGo9w2VmPUkDYD28TWw9ndB/PZrpbD2jrnU9RENzPZ2aWT3Czyw9IxsWPfSsET3x2gw9BQcZPX0UDz1NtQA9DeLMPEMduDxgUbY8WIytPKj0pjwsoLA8npm6PHVQwjxdRcI8nWG/PDpN0zzG6ug8Ss+/PDGZoTyjzqE8e2itPKMCtTwnUbE8CXK5PLBkwDyhwro8ziStPAPkvjxAgrM8ydGjPOJkszzgtLc8Iay9PBAKwDy7A9M8JgzIPFPjwTxIX7w8xuyuPCvovTyO6sA8xty1PFrluTyk5cA8AIvOPH74wDyr1LY8oOS9PMe23TxgMt48uOfMPHwZuzzHKcU8lnXTPN9pyzyC5ck8ULTIPMI3zTwaitE8yDvXPKrr1jwY4888Zzq+PFi0sjwK6sQ8FunJPOBHyTytFck8HdPNPFFewzx9cLo8znu5PE3Ksjz5EKU8Ya+rPGbBsDxYLpk8WMGbPA8imzxn3Zg8sHqcPDnhpDwg/ac8bpifPCbCpjzTO7c8HGu7PF4twjzA/uA8q3vpPPbb9TzbYAo9X/UAPelI3TzwwNI8w5bKPIPizjwbQ9M8RdnEPJ+zyTzFEtI8vvPdPBBC1Dweks48MD/NPFQPwzwtmdU8crbiPA+X5DzpBO48MNHxPFjE3zxNBNM8oubWPAPPzjxwscw8VpfCPDg6uDxSSKk8P/OsPIiQpjxcK6k8GHy8PGmvxDzMrME8UVO9PFSTuzyqcsE8uc7FPEcm1TxTCrk8nSe2PE3OszzQsbQ8TGevPOUusTz8vZg82kmUPEj3iDwjRok8vKiTPChamjwB0qQ8iPGiPGjRnTwKPpc8QBeVPPZIrDzccLI8Wiu7PJKh1jzCD9g8UYPdPE2Y3zyEBt48SbDlPLfw8jzMFNc8Jrq2PLrltDxA/8w8l77NPJnZzTypEMA80xPGPHyy1TwMj9w8tw7YPIej2Dxpj8o8DrCwPB3BqTzkN548axOZPE45qTyrPbw8BwGnPEkllzyGApc8r3+WPFCWnjwmBKo80HmjPAfmoTyxu6I8HLmkPFaUozxcHas8NU+2POjOwjyNpcQ86FPLPJDl0TyPitQ8vi7PPNRv0TwXCtk8eWPePCB80Tzbx908Q7PePLSo2Dw3qOA8B07XPLDitDzAPbk8MwKzPKxuoTwja6U8RUa1PG55yzzWRs88fCndPO1R1jxa++o8BZT+PJ9y6jx7KeQ8TxHxPNH9AD2cUAk9o3oQPfMXEj39fRI96OwIPVO2ET2g/w49QzkBPXPEDj0EGxI9jmwFPfuxCz2KLRY961kgPcvKLD0Mdh89b2EdPc1zFT0ZJQg9DLAIPYp28jwCXeY8uFzgPDg+6zyiN/08sVEGPcdlDj21RgA9Vc3zPIz77jyB/ec8I4ThPPKL4Tx2nuU8ylTxPNKv+jz4lv48Ypv8PDCO/zy9GAM9C/4KPSAJDT38wgQ9Zv7xPJXq9DyGQQE9xrEHPU5bBT14ZwI90rr3PDRg9Dwd5Oo84VfqPBaq+DyfGAg96XcDPcWt/TxKGgA9g1kAPSsUBz0ZKBU9QxoXPV10Dj0dYxY9aAIZPZ7JED13RAo93+kCPR1LAj3ZuwY9WCAKPaZRDj215hE9ENkYPUsiDT1Chwc92xQLPaYiDT3DGBA9UHASPfJ8ED0NJhQ9aDwVPRSqFj17CiE9QK8aPY54Ij20fSs9cMYoPQwBKD1XkCI9Q94bPbySHz11px4930EePU0XMT2NfzQ96zwoPfVDIz06pCE94aYXPRVOHT2KcxM9GVQQPQKIHD01+R096JcdPQEmEz1E/Qo9YhkKPe2qCj0HNQ09VDcCPc1w7zwFcek8U2gDPUWXDz1HshI9vOoLPSORCT13LQM9YOD/PP5a7TztAOQ8Hz3aPGCW2TxGgt88IIfdPOAd0Txn59A8pM/OPE5HtTzYuq88nPSyPLq5uTzIYrg86Ku7PG1Pszy3F6c86VuwPG7uujzX8LE8yeORPLOSXDwixFs8VHKHPBCVkTxB/pk8XJGnPPmGlzxRe488lRWUPDK7mTweB488IMSWPM/ppzyQaKs8cAOoPHVdpDyYmKI8h2yYPLTVoDyoFLs8BIjSPBI52zyigds8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/VDeRPI0gzjzzk2c9p1qWPZ94kz3an4498YttPWMjSz1miko92GNPPb0RYz2koGg9sIdePcaHcD3QkHw9dOpqPX8ebj2XaXI9/9hyPVdwgD3+n4w9tX6aPeWEoD0aHKI9oVGLPdiYgj2d5oY9D7+SPWOqkD0VhZE9QtOcPfWHkT1f4YE95oeCPXulhT2UGJA9rZCGPXNyiz2HCHw9xlRqPRRUbz2yDnw9Fhd4PdczVj053lA9VUpIPYksRz3nsFw9zdJ2PQ7NeT0RQ2s9zXBgPZLyZz00cXc9yaiDPdmAcj21emU9TvZcPeefWz0W4149HXppPWj4Wj0X4Ew93gphPYUTaT0ukYE9pNOEPaDthz04PY898OmKPVCuiD0jSHU9UnZPPfJWWT3D0GA9xXhiPZYdaj1EEl49kQdRPcAzWz0HNGU9uVhrPSFpZz1vvFA9BhZAPcQTOD3o1zQ9BJU3PVA3Rz0lt089G+FVPfbAVT1TlmE9QoxlPR+uXT3q2lQ9jhxePZ7bZj1ww1499cFYPSHFSj3ixEY9+wJSPcwAcj3CkX89VyV+PTHuYz1yfVM91tBTPRQsTD0R8T89GUI+Pc/7Rj3frFQ9K6JBPV3pMT2ghD09q2xAPeW0Qj3L1Ec9oytLPTs/Rz1fCEI9aSVAPej7OD0UWzI9zpcwPTz+Nz10Jjk9gPA/PZTlRj1cYUE9mDZVPfE/SD3oykk9fPxUPeOoXz2pBUo9qK1GPfoVVT1tcVk9WChgPQPJcz0nLW89bDFxPVHaVz13/k49e+JVPWNjUT2WLT49ycRKPZp0ZT0h6Wg9J9thPTZdcj0Ob349WbGEPYItcD0cI2g9e4daPb06WD1vR08928VbPTTTUD32hEw93apBPSx9Tz1LBmY9hOpaPYlyXj2q7109PxtaPTDwWj2kJ0890+xhPdunZj0b32g9iwN3PYV2eD0s7XU9yVd3PYvMbD2Kdm49gn6CPTfFij3/sIM9U6p+PdkQfz0y5389lFxrPZFhYT0veGU9kKJjPZtIYD37tlk9uMBcPWF1bz2X5YI9WWZ5PZQpaz1l9mo9q/ZrPXyxeT1iZn49bJRfPV+rXz3o8WQ9irRrPXfOaT2l71A92mtXPc37XD2go2c9Ze5rPcAwgD1XAns9tVlzPdvNbz1dnl49djpePfbLaT3FvVc9xotFPZTBPT37FiU99AoZPcTbCT3u4QM9YRPwPPXi6jzTKdo87yDPPE49tTzYVag8KWmxPN8hrTwJTa48/m6+PN4lwTzrT8E88EDHPOawvjw7k7Y8ZaXXPIv20TwZv7E866W4PLoTuDwnyac8sS2sPJ8nxjz1auU8BR/bPLcpwjygQbk8TBGoPKBMmjwppKI8UsevPO6axzy1Osc8WV+8PMJmsDwFo7I8e7WuPBdErTx007c8Sxi/PIdLuzzVEcQ8JwXKPHsR0jwtF8o8HUPLPIqyxjws58Y8g+PAPG5OsTzP6rg8J53FPOma2zzx5cc8rNrJPFAd0Dx5BtM8o8LePPbC4TyBptQ8dHfNPPjnujyPHLM8sWO3PK/rtTy71q888nuuPArzpDz2S6E8PwitPK+LxTyzArY86DO0PHlttjyYb6o8oyiqPKHdsjxMnrk88aa3PLuRsTyTyas85Hq3PCpQwzwjoMU8lUfPPFTMxTyWEMY8HM3lPJ6a/TzphAc9Jt8QPRqbAT0Pito8cArPPMvuwjzYOsE8MqSrPFg6rzxqNt08pwPePOSXxTxUnMU8u6jGPGn0xTx1kMM8JtrZPEa34DzrcuQ892vzPJEz9TzuHc88PQrGPCNk4zznK9081j7XPPdvxjzRga88A1ypPKkEqDzuqqo8aCu7PPQnyzwe/8k8N0nMPOV90jxik8o8aQvLPC8ayjxTJcQ8bcykPP3anzxkk6E8z7CuPJpvrzy8Jqc8EKiYPMN9kjxD94o8XWWZPKuWlDxQe5E8Y0miPDa3ozz3+Zs8Ml+TPJmunTyoEcM8uXziPL7M6Dxbi/Q8ThHaPAC+2jykguE8T83ZPLfo2zyOGtw8SVfCPA1dsjztHK48wcKyPAOeuDyDhL88svLVPBQH1jzrLcs8kY6/PJEPwjxnbcU8f9O6PATHrzywdq88JFyiPPQ0njytW6E80R2kPCbqpjzDMaA8k5ehPCgrozyXMKA8+hirPMC0szzGRLw8+EGsPJ0gpjwzxKU8uqKwPHnzuzzx3sA8G8nLPNOE0zwWB9c8IKrOPKcK0Dyk/9c8kVbhPIuC6Dzjm9w8S3zSPCIo3DwY2c88WmnKPOc/vTxwla48hDi5PBxxuTyR57M88Z6/PIXXxTzv0cs8mqfWPCFZ8Tx+yfM8Pj/rPOhy1jyLBNk8aP3sPD25BD1epwY9dF4JPZ0ZCz1HcgU9954FPaUSAj0FNAw9LKYKPQ1FAT29V/08J84LPVo0Ej3N2hQ93EIePSVZHT3KECM96usgPTWIGj1FExE9dE0GPQzSAj2P+P48wbXkPLbR1jyuEdg882LpPJ/tBj27zwk94674PJqA4DwWl+o8sY8BPcpk+Tw9GAY9YMkGPT4+BD3V6gI9H7P2PDmS9jzuIwI9dZABPZ4U/Dx1FgI9W0oBPfTq/zx7TQo9EGMCPX5eBz32sQo9KHgDPWBV/jzya+w8q4TvPD0R7jwVcOg84mj+PClD/TxGu+c8szn/PAHQBj3YZBA9gv0RPb/eBz1EsQg9eXwHPSG9Bj1dZQE9lGz0PBTq+DzMyAo9lcMcPbAgIT3dOxc98xgPPYtoCT2K9AQ9uIUTPXWUHj0nXSE9UAIbPasfGj00QBg9MKEZPQVnGj3iQyI9zH8jPVziID16pB49y4clPQfjJT2biCM9iYQuPZxgJz0FiSc9ZMYuPUBeMT3DmDM9Y/kpPahORT0q1Tg9T04qPbYBIj1/PBY9RP8JPfUQCT0GXhE9yjESPRqKDT1C7gM9B/sKPep8DD3/WAI9MLPuPEnA3TwnJuY80sf7PG9hCD0ozgg9/toCPf3HAz1PtRA9mTMLPRBT7jxS/d88NG7gPDYazjwg2Nw8AAXUPASVtjze4K88glC1PHzctzwR5bk8hfi+PBZ2szxjRq88F06uPM70szxribQ8l4C2PCRaqTxQZ5A8XC2JPKo7bjzozV48sPGAPADklDxfkpU8TjSRPNfMjDzp6Y08e/uVPOnGljwW0pY8vUmXPKIYnDwqqac8ZgCmPJ7kozzHBKE8Q8KdPPumpjzJ26s8eaOtPHCSsDxIw7E8SMOxPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfxclMT1750U90WuSPYIrlj1iqJE9FLmCPQwRcT2OtVw9U4drPczZcT0QI2Q9GylcPddcVj1Ohms9E/tpPSP6bj0IYH49y1WAPefpjj2RvZ09reGWPWtRkj1Jp4o98QOIPR9adT26ooU9OfiVPW+BqT1LU6I9iYiePfEtjD1KU4Y9KwSEPSQOhz2hrJI9jBSTPZYsdz1MvVo9UE5dPfC1cj2fBH89Cox9PYeMXD0jjlQ9SNdXPW/EUj3w4Fo9K6FwPVqzbT1lGlg9kxBNPbNzVT25C1894GNnPRUucz3szG094mtoPbw7Tz2qKls9gRRpPW1vkz3oO5Q9cp6HPQaElT1u+pc9MN6NPapMdz1ct2g9SC9rPai6Zz3vFWU9+shfPRc5WD3ul3A9YG1+PXRbaj1ynGI9gVBUPa48bT24+2M98eFjPRl/ez1R/Hw9FBlbPVfgPT0iRTw9b/o8PRrVSD3kck49sHJgPQbbWD26QGo9cxRxPf/mZz1pA2Y9Km5gPflZWT2NdF49TVNXPWEAPT0kOTg9EKVCPVrPUj0OIls9p3JjPVdwXT0C1lw94yRaPTTyUj3Pe049z1hPPXRRQD2VETw9cc04PVLILT0sfTA9rfE/Pe0ERD1l2kU9QCJEPZrIPj1jL0I9gaFIPYkmSD3szEA9KK1KPfqnWT2Fol099tBOPeiATz0cW1k9+c9VPSoxXT05Vlk96qBXPQMmWz2d02M9eq9QPasDUj2wVFo92aFbPQn5WT2syVU9SoZiPUKzbj2+X2s9fBxnPRGYYD0WiEU9pTM9PfeBUD0gTlk9YkVqPVSqaT13aW09ihmBPZC6fD3CElQ9m2VGPT13Sz0tImI9TaxfPWa+Vz311Fk9pYpRPQ/VSD3Sm1Q9RG9sPXUWXz2weWE9BJNgPd6KVz0Sllo9f/dePWSKfj1r9YY9vR+FPTgBdz2WC2M9Oe1bPcC2cD0iKXg9CLx7PUmTiz1w25Q972SQPTa9ij1ndYM9Joh/PYsCaz0c4WY9N6RdPUnpTT1QRlE9VxtSPcOKVT1VXXo98lGJPXhFgT0xmmw9G5hoPWvFXT2hCHE9fBaAPeFJbj1li3o9sXV3PUl4dD1uSXE9P4tRPcTdPz3lAUQ9xPdSPdXMZT3h+l49u0tTPc+PTD1tkEQ9SQ4/PTobQz1/xUw9hjZHPWZeOz3pSjI9MuoUPVn0+DyvctU8l1PiPPlT7DxAdNo8y4u2PDRTtjyeNr08uUm9PDOYtjxNl7c8hkfBPMMYzDw4BMI8zRO6PNrwsDzdZ6o8PTKkPOtiuTzA07o8wpyyPOZNuzy+A7k8s8KzPGRIujzn3Mw8ViHfPNZ2wTy19rw8jg2uPJCbmzz6t6A8uVayPOiMzDwAP8o8/0jCPF0pyzyUosc8AuaoPFLmpjy2za88cjfDPLOiyTxWtsQ8wJrKPE4KzjxzjL88zf68PBy51DwJqMg88uG5PEGExjxTEbs8Qy22PDQ9vjw7Xco8+ZG2PCYGtzwENL08bATGPLgxwjxASMs828zDPEnyvjwRlbU8T427PDrvyjzvYrQ8DqqjPKcsnzzMmZc8Q8ypPFUutjyEPLk8EMiuPB9htzxYSsY8Cr3LPOafyzy+keI8tGLsPPBP3Dx/SL08B4u7PCOnxTy6zc08EOvZPG3j3Dxls9U8hQ7RPCK12DyU7+Y8CCcFPdiECz3tqAA99NTWPArUsDyyKKc8qxa3PJ48tTxf7r88+w3GPFvkuzygjLM83OyyPDDsuzyvM8Q8J6vGPCg03TxIku88v/fsPLF+2DxVssk87Di+PIKOuTyW18w8p9vLPGd10DzWT8I8MhylPLv2rTzUSrI8bQSxPElLsjxEi8Q8PHzCPHWIzTyIweI8sGLdPDch1zxFkcY8E27APAoCozzne6M8VuakPOgpmTyEsJQ8mkKYPDWBpTyouZ88dRWhPBeUpjyqKaQ8kO2zPAyjvzzaJ6g8hCGhPILZmDxZFps82ciuPCbOuTz1FLg8GJi2PBw0vzxZVrg8qlOlPIg6ozx7Nao8vae5PI1GwTw8+788dk7DPNJ/yjyUU888omrJPA3kwjwrTLQ8ABm3PIZQtjyue7Q8HqK+PLxVtzwr5K48ghGsPJMeqDwgZKg83/moPFB/qzzhF6w8Qo+jPKtgrDyNNbs8bw66PEZutDwaDLU8rg+3PLX0rDwLbac8F9yjPITdrDxX7LA8w7CzPHajwTwU1NA8eW7aPM634DwT59k8St7yPHTz8zyLuOs8HW7fPBRD2jyCJdw8AffUPD1/zzwcx8c8xK7CPPTGtTwARrA8Cvq2PN1TwzwMas8879DcPOK76jz+afA8sxDlPApy5DyzseU8ysziPCIB8jyEge48SAHiPN428jwTPQA9XCP/PDAJCz3Z1P88NWD5PEOC9DzbeOo8QazxPP00Cj3UMxI9MR0RPesoFj0tqxg9HbQXPSLtGj31qQ09V2cQPSOvDj0rHQE9HlriPFZB1TyjOeo8DzfqPEJD9Dxm0wE9EU/5PK95+jzlD/U8LMz1PDxZ+jxCkfw8pwMJPXAkCD3KC/880QQAPaPOBj2nyQ49ikQIPUKk/jxCxf082gz8PEJ+AD34wAY9vlX2PKnW8jwOYfo87R77PB1G9zyT6uU8sk/bPL0e5jyflO08jIvsPGqH+DxQLQA96ZoDPVFYBD2KjAA9poAFPaBsAz31IgY9Y58EPbe4/DxzCPk8yLT3PFu4/zwPTAo9o1EMPW1zFT1UORg9kgIUPV9dFT0JTxM968EVPQ51KD3s6TU9iHc2PY+cMT1a8jM99AoxPSI1Kj0mtCQ9Vd0ePTRTFT3etxM9ICQQPTXXEz2NVRs90nscPdsaHj17WRU9t3MgPfX6JT3Jrio9qsQpPermEz181ic9uoIpPbJ1JD1yniI9FxgPPedQ/zzzaw09UxoOPUQaBz1RUAE9WloAPVwwBz23aQU9o9D5PBz/6zxIgfI8xVfuPAzHBz2OdRA9W4EAPdAK+Ty+9go9w6AQPbyX8jw4L+A8IEjpPAm76TyiweQ87BruPNE20TwhzcE8tAa2PEVPtTyJhrs8MMO4PLKrqDyBQaQ8aiOjPJRBqjxW2bA8CKO3PKsorjzZPJM88Dp5PBEwbDyc1G08W9aJPCjdmTyDOJs80/2KPCd0hjztF4E8yV6FPOS2kDzLhZg8/AuSPEu9jTxHDJg8OFWiPBcRmDyuK5M8p4KXPJ67ozyuup88HbOMPEpVhDw5XoM88IGDPKjkgzwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9MBiw9w6JAPa1kiD0R9JI9A8WDPS3KaD2gZ2M9oZVlPdRhcT29pWI9ptpVPZ5UVD1D6VI9z5FPPSWNXj3YZ2U923B1PfRYkT2Gepg9lwetPQbNqD0fEpk99kaGPc1WdD0kxnc9bSSQPRqPnD0IRZ89qhOZPVCBmj2DqpE9v0uJPaF2hT3wH4w9idKWPQyRlj2vtow98Nt6PRmNcj1BHXo90B5sPYX5Zj0yemk96+95PaJLfD1KYWs9n9RQPYdcSj1w6j89YZhVPVBUaj26YHU9y69tPYLrbD077mY9u+hZPdasWD3fmmU9lZ92PYnkfD0yJYk9OSWHPY2yhj0tJow9oa+HPS3cgj1mu2g9KmlePZgWVj1CA1U9poNMPYzcTD0Uj1g9wSpiPWrVYz3qjWc9ZgFwPZvNdT3O54Q9p7aDPdKwaj17RVc985FGPTPzPz1STzI9K582PTWyPT3Y+kQ9LSBIPaMqUj3isGI9Rxl2PeangD3JMn09Lv55PRcXbT3/J1g9QRg+PeyPLD2rijE9jZMzPQX/OD15DEY9MHRTPbQlVz0fYV49LwRhPa2TYj0CLlM9JqRPPd5OSD0sqkU9l8hEPdYWQD36ezo96AE2PaEiLj2ryzA9X/4vPanULD29aDQ9fCRLPUzNUT0VxFo9+X1aPRkZVD2RM0k9CUpOPc/haD3yMnM9d9FvPUKibz0mQ309d4R1PfU1YD2k42Y9uAdqPX9uWj1mPGE9DwJsPVzKXD01Ul09wV5cPSkZZz3FPHc9Yu9bPYKEPT1g0Ds9t05CPU+QTj37f0o9C7BOPYndYD3u92E9ihBaPVwrTz1RpGU9pRduPRyjZD1fbmA98UdSPeQpVj1bMV8961ZePcWIVD0Pal09M1KAPU3hez3KXW49KlxoPRp2aT0HkV89Cu1OPYMhXj2zjG094IR1Pf5cdD2TiHU9dShsPYK4Wz1jtVk9rg5dPeUhWj3BZ2E94qd6PRw/hD26rXs9p95/PeOzhj3/doI9djp0PY0DZj3GnFw9DyxgPc/WYT1ys209bkF4PdO3dz1lVGk9IxhlPa1VXj2W0F894R+EPV2FhD10JpA9KrCHPV2EhD0QxXM9+rpmPaurUT0I6kw9F6FVPWoPXz39p2g9NzVWPQOrTD09GDQ9q0YoPSikHj0tyAQ97l7mPIKn1Twx5b48S8qyPIvArjyAVqQ8+pOqPBICuzzBL8Q8bs2+PGuRvTw617g8yCyuPA64tTz0K7w8Qwa1PHzDtzydKNU8H77EPBL3vTxKt7E8U66pPKsLqDzr/bE82YuxPDNlsTxJYcQ8r3W+PITbsjweg748Y4bEPJIIuTzexLI8j5GwPNJQqDyucL08mWDEPJM5wDzr/c08kMDFPIWsuTySWcA8BL3HPO0RuTwktL48H5a7PMnjujw+/7087Jq/PD6jvzxJ4r88iIa+PK1QvzwnC8w8aLvTPPRk0TzaOtY80IfQPNbUwzy4b8A8xRPEPKzNujw2V7083Ma+PNLIwDysRsI8TUrHPJD/vDzxebQ8bm+6PA0WwDwBeL08XfqmPCrgmzyZkKA85yKfPNbEqzySaL481ti5PKcNuzxtQrk8aoG/PB1Mzzxx29Q8UYu8PPkisjxU+q08FfSuPAF6vzxTxc88zMPZPNW91jwp7tk8oxrYPJGh1TwtZeM8bXDlPKODBz2eGAQ9xtLiPO1OwjxUAK484eu2PHmfwjxUR848aX+9PKqwozwump884tmsPLoTrDyzh7A8/KytPHeYyDzCXPc8URUAPRAcBD2i9gE9k9roPN9N0Tzhbs88sYnaPLFX3zzFeds8rtXSPB0hvjz2YLA8OvqkPAsXqDyYfqk8W/2tPM65tjziG8U8GPzRPGGs2jzOMMk85G64PDg1sDx/a648UYqzPJmSsjw3wp08Dt2HPISnlDyNga48epKhPPWfqDxhnbA80RepPEb9rTyF17Q8AVGePB9qpDyNrKM8tLeCPMhiijyDrJk88fqlPG3lozyFXq088j+2PKHtsTwDi608mC+5PGnruzyjDbw8iju7PHbQyTzL0do85w3YPFuA0zxrAM885y23PGDUrDzF2a88A3+1PGRCwDyFB7w8erOxPFHxrjznkLc8ALS8PCt8wDxsAsQ8RGu+PG4arTxo9ao8EGWnPN9XrzwrE6s8bUimPH4ctTyuyq08sluvPOOIszzYUbM8RtOoPDXprjynhbs8EgrMPBbK1TyYqOA8TULWPNL+3jyKtPU8hsPtPKLK3jwJu9A8rIHUPNHdzjxDPrw8zpfDPFPj0Typf7w8/QK4PD1uyDyjLM88R3fMPMlh0Dw20eI8ZNrpPMWM/DwS3Pw872D5PEbM9TzTvd48Oa7cPH044jyZMuU8U/ntPMn18jzBagY9UR0JPWYaBj2sFf08DC/pPAwm8TzTWgI96jUJPWFZDD1M5hM92kEWPV5fFz3zQhs9qjkOPe6ZDj0c/xU9yWgEPc5R3TyA4P88SqwBPeYZ/jxQIwE9EtP/PJvKDz0xBgg99ZUBPRXtAT0gNgQ9bDEEPWgbBD0eLgo9/N8KPZrOAz1YLQI9Egv0PLHc5TxKSe88p3n1PBf17DzbePE80677PKDP4Twe5+k8YwPoPIUm3jwtI9887+DnPNTq4zzou/Y8+WT8PCuc9jzIrQI91FYKPcL/BT2VBgQ9iLwHPSTMBT0PqgU9bckBPUkq/jytFwA9vIUEPbPMBD3Nuw09U2kKPYMVGD3/Lxs9f7gRPXHvDj2Jhg89MUILPUthHD1UVDI9vBE6PTQFQD00wy89TuwvPb4JNj3peDo9FkE5Pc3ZIz18UhM9JDINPewlCD0RjAk9MmoNPcn8GD302Qw94ZAYPcl0LT1kZiY9880YPSIoFj2XtRA9m1kTPbu9ET26ZAY95AsCPYWyDD2n/A09huIMPSBEBT0kwAA9eNUCPX0hBz2lqwY9Sp4LPbAr9zxQDeU8xmbcPBOa6TyEN+s8hKP2PNMn+Tx/+gA9ppYEPcu3/DyVS+k8g77gPNCu3jxPh9c8GxzhPBbf4zxZJcg8FDm/PNxjrTyMvKU8UOipPF8UqjzrYaQ8opWWPONPiDw3dIQ89zZxPCX9kDxAMos8hMaBPAXcgDweDII8T2CbPI4snjyVAo88YfOJPOvcjTzz5Y88XMmbPPa3lzzTNpE86ySTPNcxjjw42ow8jS+ZPBeskTx4ZIk8bZSHPAEngDwlsHo8+3xhPHQVZDyjkFk82t5RPFkfVTwAAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/D4gOPWWtFz1dTEc9f49OPTDbPj0aT1I9L35TPR7zUD0UNU89dQ1kPWsvaz0QYnU94niIPaIIgj1NynQ9pXBwPRncij2/2as9HTixPRzrrz1xVac9L++JPQMPez0AsoA9o0CBPU+Ahj3J1pc97cGiPXIMnD1RzY89vauSPWEXpz0QwJg9ujqHPcbyfz0bU2o9+6ZpPYzScT0hIHo92rd/PWQPgD3Y44g9JGyIPWgPgj0s6nc9hh1wPVD5ZD37+Wg9OYFpPSX7cD3BWns9iYtgPSCFVj0XAXE9rPVyPUAVbT0ej1U9pMZlPUdRhD3bGYM9OlKBPRNOfj1l1XM9hhqAPachgD22O3U9drZoPXhOZz3JP209IG9xPdxdaj1Admo92oVrPXjzbj1cAoU9tyaIPZ2+hz2EjYc9AnuHPU02hz2SfHI9TLZVPWwxQD2aF0I9GLhCPerEND3/uD49+3BMPeCMRT0m10c9bt1dPZFlez360Hs9dqBdPSLsTD33Aks9IPRIPc06Vz1d+kg9uRkuPTq+Nz2D+z49P0tUPWgwaD1JJmU9hNxcPXHrVz2A9FQ9ddRjPTklYj0UN0w9dmxMPf1zSz2myEY9FwVMPf5MTz0NCjg97fAdPTY9LD195zU9ivE9PXIQRT2tnls9KHVvPUTobj3mUGg90/NhPXwTbj2/Y4I9UeaGPeW9hT28kYg9c32HPc11ZT3nKmc95ZhjPXQaaj2kuG49iP9PPYiNUj1dYlw9RpNxPQ5+bD1+XFU9VopHPYngRj3EbU89cZ0/PRptQT2RjVA97LpZPXbuWT3zdUU9TSZTPcVKVz2O8G49Xnx8PbDxaj2b3ks9hHQ9PVYJMT0sSDw9Rn9OPUY+Zj1I/Es98DVNPVodUD2L32c9x5l9PYq9fj2nSH49l2J6PVQccT2o1W09s4tjPVRbWT2DiF890mZgPVmqVj1aBko9RAVbPdfyWj0ikl49+oZePVOEYT2iaHc9MtOIPfvskT2qW5Q9ZPiYPXHSlT0ZDIA9qFuCPUERhj3pG349aix3PSJ8VD3NvEE98fZQPZqdRT0Yxj09X2NHPZaLZD0PXYM9UzCUPYfKkD2SsJA9H0+QPRwwiT05B2896PRlPRxhXT03NFs9iRFaPcWzVj3/yVo9QysuPT0NGD1UGhc9EGAKPW3I8zyZ2NY8cy7QPBN31Dw5Ycw8ZLu7PNXpvTyBSsA8nJnHPDRBzjxUeM48AUjAPKHesjy2psM8CervPPIQ0jxWvcQ8BBSzPO1jxTxMYbs8oWHBPHaj1jzJ8M08ulvaPHmL0zyzm648873CPHyjvzzaE8U8RqPQPJqRzzzLLK88S1imPM0+ozwfbqU8pQmtPISjtjxn3s08jwPCPGnjtjy+a7Q8ZfK2PByaxDzez7o8j561PDsmxzyQGNA8t0LQPACqyDxrxcs8IgfQPIdVyjyetdM8f2XTPKlSzTxXOdE807jBPMxYvzxejso8csPbPHUu3TzsUOk8xwzKPOJqzDy8h8k8+Wi9PACDyzwpe888s367PFrjwzx2WdM8b4TKPJ9qvTxJBbw8Lq3CPITOvjxyQrk8qPrGPFtCtzyamr48na3APPjtvTxq88w89pvePGkZwjxjk6g88ZyxPPmkwjxKaes8H9HvPDrbyTwL4so8k5PHPMz2zjyXKtw8wbjYPNsGzDzR/Nc8AYzSPNw7yTxQeMU8GyjAPJC9vjys1sM82c+2PCzUpDwE2548m4ygPGjftjxsUsI8b3rEPHzL1Dy/PAM97pMXPXxMCD29QvE8F0PkPEF5wTyQA7k8/fO4PDtaszw1qa084L+zPNjRwDw4W7M8cASuPOylwTwsK8U8yL/BPLOpvzyRG8M8/zLAPOJnvzwtZLw83hmxPBFWtDyzB8M8ffS/PNB7uTzdM7M8RROvPEr9qTypaZ48qX2gPK6XpTz5DKg8Z3enPMbIljx0gZg8JeGgPMdYpDx03KE8aDepPLWpnTzXWbE8fIq9PAPLxDyMMMQ8I+W1PF21pTyKX6g86EqyPDNAtjybobI8M5OmPHCtrzyty8I8lrvYPBcv4Tyind482WXHPMU1rjwVo5w87pObPNN/pDzwO7Q8GM7EPM2rxzyAHLI8sL2rPCJApjwbfKI8WaeoPKSdrzylGqI8qVaiPN2Ipzz7QrE8ztO4PGi8qzz9TqU83iarPF0XszwCea481Le5PL//vTyM07w8LRLBPBuwzzyNGdo8SNz4PGxS/TzFHeU8PgLjPCBs6DzQD+Y8DkXRPHduvDxmlLY8Z8e+PMu3ujzru7U8NSu/PKQg1zxqBOw8slv/PKsT7Dwch9A8XFLlPBToAT0X2gk9HpUOPcAoAT2+lug8IPvSPLXQ3Dw+F+08e9LrPBD35DzpuOw8uo/+PIRKBD1WOP88yCf8PGwuBT3Jlgg9ddIKPXJ6BD1LsRo9f+AhPYNwFD1tGQc9ycQJPWyxCz1A7ws9V5EIPSmMBj3X+gM968oLPY5RAz2kzv48FT4APbPVBT2/8RU9ev4LPVOuAT1fxwY9mEMGPXhmBT3YxAM9b5r/PMLG9TzTIuk8G3TpPJ4S5Tx+guw83qf7PHTm9zz1mPE8e5LwPMmb5jyRr/A868f9PKtI6jxIU9s8/o/ePNjM4jyqVOw81lABPSh+Bz2VUP882qv2PI3p6zzp9vo8C08FPUFuAz36eQE91Lr7PMkc+TwQl/08pFL+PEf2AT1nhQM9eUwMPR9JEz3VxxU9lz8ZPemWFz3OWxU93aoXPfsbEj1/eBk91tAhPTsmHj0+4h09h2AiPUwtKz3WXik9kK0mPYBwHz2vOBc9f3QHPehzCj05ZAM91NEDPYSGBz0cDQI9BLDkPIxD8TzCGwg94GwKPR1TCT1H3xI9TLkPPWc8CT3+2gw9WfoKPVhXDD1okxI9iX4SPY47ED0Z8QE9S0nyPMlg+TxMwAA9cM8JPRIQBz2D3AA9LZ4KPdCpED2wUhM95TsBPWvU2zz/HOc8tRf9PC4TAD0/E+s8WnTRPLB31jxU5tU8w5HUPByv0jztx8g8DwPFPJ94tzwipaY80jilPAF8pDwJiLA8ty68PBvtrzy0tJE8XUqIPHJtejx5THg83NeNPBFApjxvnKA8AfiVPNbekzzZXZM8kISEPGK+dDx04YU8DyOMPFnyjjyGxJc8QYSOPBTLgDz842k8SSRkPHwMeDxHdG88mpBpPNizWjyJPkg81QNEPAmiQzzyEEI8ZbJIPAwpRjwDt0U8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf29s7jxfrAA9K1QtPYayHT0TNhA95dZAPUGABzxVsCs8JWzjPFWkMj2tDB492n45Pc8LbD0kZmM9a4ZNPWI1Uz3ajHo9uuqWPem8iD2E1YE97FFVPfKrUD2PQ1s9j+9hPQW7hT3LAIc9fkaQPTTblj184ZM9SXKcPcqPnj11UZs9NoCMPXxmcz3dqVU9vPBHPUvlWT12/F49Ydt0PbXyjD3xv4495gaWPXsdlT10LJo9ZsOdPY5fpD0/mKU92dGjPdABnz3ZcoY90rVmPRhPZz1kuGU9IBtVPU/pTj062T89ADdQPTotaT0vA4g9mE1wPV7yYj1Rf1k9Tc5pPXdDcT3Tklw9EWZgPXqSYz31snE9Z1t9PWIaaz2GnG89qYODPUrnhD3YDYI9fwx1PcaPiD3bgYY9t8dlPRw6YD3kJlI92cFIPXCEXj3FFV89w+tVPVUGTj2AGFs9Bf1iPUgZXj0eJk894BpMPV7OVj3kwVk9NAZJPdEqQz09/1M9Cv1SPV8fWD2ubl89CdxIPcgyPD37bT09SB9CPRakWz3egWE9y3hTPTySUz3JV0U9/UVDPc1VQj2Jf0w9Y/pMPYFgQj1N3kE9JxtDPUX7SD0bCUg9rulJPUYnRT26TUQ9dm9DPRPbRj1tpVY9xi9hPUcFWz0oYnc9SuhxPUi+bz0EcWg9PH5uPTvygj1LzWs9fFlrPSA7YD3euEc9wJNHPX5dUj1j7lY95MxXPUW8Rz1GGjo9nOM3PYnoLj1dSS89rCsrPUxEKz0ZsD49aspCPQNjMj2vuDY91cdEPXZvXD08CVo9ZTxSPR1YZz1m9WU9OrNlPfjiVz3jA189nshlPSsyTj0iZEw97IhTPSC2cD2Pnng9I/tlPcf6XT0EJWM9nl9kPRadcj2nAXk9l2xpPdjTUj3+nU891vlDPRSUQT3LIkc9rDNKPbw8QD130j898ulQPWcHVz2fvVk9DH9tPZwyZD36E2E9+Y6BPRcfkT1ex449xjWLPWM2jD1N4I89M7uWPSNkjj3zAmU9LwFPPZ69TT3pPUE9ZU5HPdN7Xj3bGUs9EGw3PZz1Pj1sxl899NCBPbP/ij2hUpI9rJ6UPZYMmD17gIo993hbPRd4Qz1WBUY9lXRQPcuWVT1k61k9RXZjPfmiPT2RYSU9REYjPdsoEj0LmPI8sWbhPGBt9jxNy+g8rJ3OPDSvxDyY7M48KnHGPIFOpTylSLg8iuzXPGck1TwK0bs8hHGqPNdRvjyACtE8RobIPHLkujwDEcc8WcPAPM1CujzF1sU8m57OPNVQzTwYJcQ8Zim7PGqK1DzIadM8X6PUPDr43Dzkwdo8UubaPJhB0TxrEME8PKW+PLPXtzzPDbU8CcPBPCfNtDwJhbs8jXq7PFtbujwsR8A8ge/DPNKjyDxgb9Y8o0LgPJQ34jwAtM08ojnYPJQt9DwFRO48uFbePFNDzzx8tcc8/LXAPEBJyDxE+9A8CO7UPMfD2jxg9MA8qwq8PMdLvDzJEsk8dQLKPHeYwzyYU648I72ePJI8qTwF6rE8+CPYPE771TzVtrc8tunBPJO1xzzpabs8SzOtPA+XqjwvOro8JQi8PCmDzjzdZdE8lrXbPHKs2Dwgzr881t/UPCFtzTxUnMg8SB3IPKJhsDzGnrU8m7vDPAb+ujxzMr48iOjKPEgC6zzXH+g8/XfXPEcgvjynvLM8DtO1PAxHxDxUEcE8VyDBPBKYujz4cL88HQW4PNFDqzwHdME8/8bcPJj05TzUTPM8K4H+PNvsBj03u/Q8HnXePKIW1Dzxosk8FFjAPAAqqzzcUq48Uw6zPOY1szwKwLg8gTO4PBtMwDyUd9I8L+vYPN3k1zwdics8t0bFPD8UuDzEZ7Q86Dy6PPSXwjyXYr48ecC8POhLuDzA5Kk8LkemPPlSpDzIVqM8gVOZPFk2mzwIw5w8866hPMMyqDxKxqk8nuanPAIJsjyWbME8cq7EPAmS0DyUGtg8zGy+PCYl2jxGBMg8WtasPB1DpTzwz6E8bKKqPM2UrzzlW7k8BnW5PNwlrjxftq88AF+mPIAysTx3Kb08ipW/PJiYqzzhdao8Sa21PBvTuTzTyr48jlG/PJWpujxMfag8QgioPH5JozyBQJo8NNiaPDePoDxlCq08B6WyPC2Yvjyx08c8Q3jDPB2uujx5z7A8+rGwPF5QuTxIQbk8nZW5PKh2vDwN3Mg808HHPNqEzjzY6dA85KviPEUH7DwxKPc8rUrvPJF+1zwYadM8N83SPOG10jxlG8E8dm+3PF6eyjz+ONY8y3bMPPNpyTyu59c8+bLePD2/8TxwgP08v6IIPSWnAD0NmA49h5oMPZn8Cj3SrAc9i3P8PCaK4zyCkdc8e5fZPBKb4jyPGu48/zb2PEZa8zxDRO088Bv9PC/8AT1iOQI9HaHwPHz0Cz1/mQs9LQoPPWSTFz1OChw9DSQEPatDET1KjxU9zsITPXadEj3QSRw97SEdPcUqCD29qPg8Xor8PCBY/jwjEPo8+Y39PJJqBT0McQA9q/UEPcwoCz2beP48jbLyPJFS9jy1FPQ8vTYCPfyMAz1YC/k8U3vzPPkB/zz6s/U8+cT4PALT9jz/FO08oLDfPCVS2Tx10Ns8rVXbPA8m2Tw4ldQ8wQrfPEci3Ty0+OQ8wMDkPGQP7jwjnvo8sED/PNm9+Tzy0vI8E3D0PLj+7DzL3ek80kv7PLlsBD0CXBA9VFQYPchAJz3p4BY9XZ0cPX/SIT3yTCA9XOgcPRgGGD09JBk9PhQYPVg/FT2ByhM9gKAUPWAhGz15Aho9mHwcPQDqGD0Mgww9ILQHPS2kBz3dAAI9YcD8PMDD8Ty3KwA9qOwEPbzqDj36+Ak9yOkNPVnUHD2Pchc9GMEOPaKFAz27tAM91s4QPasjFz3HERM97+gTPQOcCz3CsAg9U8QDPYQR8zxTzu88FHPuPCV04zwXut88JScDPfeLDT2Iwg89C74IPcHFAj2ze+486/DvPH9s5zzolOE8kC/hPC7G4jwHzdU8SjLMPB0duDzS9rI8Sai8PDM/0Dy6sr48F6WfPBEEqjzWybE8x025PN6Kpzw8g6A8hF2FPGN0djzYqXU8LS18PMjlnjyPG6U8d9eLPHffiTxoSow80ImWPPVQkDzXTo08ixeDPNR4fDyboHs8WwdqPF60YjwJ0Gs8phdvPNVCbzw3q2M8usRJPPvhSTyaDT08lDo1POgtMzxabC481n83PPVhRjybmk48t5VSPAAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/TK4nPX7cKT2G+DE9btBRPetuYT0fRVY90LbKPExNTDwsJgg9BEdMPT6uIz3Rxj094A5MPYUMTD2hnj49x4F/PVeKiT1bMW09otRqPTrGbT2m5GY9cSlQPXPLVT3e/2o9KPBmPT1xeD1UyJE9gGuTPaRIkz1/u5k9N9mbPeXQnT3+E5g9BE6GPRtTlj2pZ4k90IOAPYWKaj11OWI9lSxVPdMdSz2jb089dcJMPbkZYT0JzoQ9dAt1PVK1Wj35E1U9lD1RPWcIUj3zjEk9+21JPcMGZD3MdnU9mmKCPQI7gD3J+H49XV+CPXfiij0USIY9l3WFPYydjj2gYpw9kqx3PVp9RT1LOEg9VXpBPaWsRz2itlY9+pZ0PYUDfz2fBYM9HyOFPWP9ej1/goI9XohZPYv9Pz2S1zs9HBc5PdBHPj2jMkg9gZlMPU/HST0Xek49r0NUPagNRT28YUw9hGtFPYxqND1LLzU9ZrwzPa6FNT0gvlQ9amdiPU9zbT2jVWs958VaPQesUD3rSFE9LvZDPX8CRT3vok09sfNNPXYsVz2qbF097D1kPYQ0aT3B/HI99RVYPZ6TQD0QTU09Fs5RPdOBQj3PwCk9ges1PU8pPz1Pn0I9tUM2PeP6Mj0/iSY9EQQnPUGbND0jwUw9Z+dNPd9MRD3LpDM92q4xPeOzQT0n80c9RtpDPWNGRD0m/kM97S47PZ4jND18cUg9/YBNPbtzWT0D1F89o3RXPRlKVD3OFFo9oktfPbnYVT2UT0Q9nMlHPabrVT1aAlw9ab1bPXftZj1gonQ9d4J5PdQogD09AXI9d1J6PVkefD3V3Ww9d5J1PRFIfz3gCXU9Dv9wPYahaT2g6l490sJNParVPD2tITs9D9BGPQK6Tz338E89YLRgPf5EZz21YmU9tyNxPUbchD2LxI09yl+KPcaRcT3ia249wGl2PYyaiD2VZ3w9hKxAPSWVQD1onEw9WVNXPcKFcD2L+IA9pMNqPf40UT12tFA9YBFlPQg5cD1iRHc92jtyPVIqWD3cYFI9aJk9PQRjKj1yCDI9YNs1PXOWOj1C2Tc9mAUxPUwyLz2BmjA9PoMbPSPjBD0Ku/88Hg/yPEaW9Twm5uQ8W4nVPHsSzTwL7c88ZJXZPD3CuDx+Srk8aBizPJmptTxjycM8W6zUPLIRtDwmqa08q2S1PI1XvTyU37c8JAy0PGMrtzxz7NI8JdvlPLKm1jw9JtA8/dXWPO5/yzzo/sE8tIu+PPHuwzwSUdY8XADKPKEQuDxz1788r2/IPHuDyTxXg788wiW+PHMktDyFLKo88YqnPPHIqzyv/Lk8QyfBPKwfwjyswNA8HjfiPL/v9DxnlP08parePHJA7jz8LuY8vLXxPOL/8jyTjOs8l3bMPFTB0Tw/Z9g8KNDZPMPHyTwWWsc8lAu8PDznsTzUYrg8BfK6PHxzuDzByr484oe9PENyqjxg8bQ8vqjBPKSMwTxCW7w8lbW2PAZFsTxNebE8qr+1PIADsTwpOak8p13IPJ2fzDxz+dg88n7hPCiy5TyNWOI891zfPBXc3zwhydM8UhbGPDXhyzznD8k8YbfKPPB8yjzuPL08ZAXFPMkg4zwAwOs8ZQPoPH7q4jzgJdI8v77JPMhgzDxPc808Fl+2PBUdqjyLqrM8547KPLyr5TwhO+c8PtHvPFHx8TyASPI8W4r4PC5a+DyIgfw8vS74PGOu4jyUIdo8vVTFPCsNwzw4cso89W3JPBO0yjyDiMs8ut7DPCkdtjwZ6708rAnYPO3p4zyR6uM83PbSPB6FzTzTJ8M8itOxPHLBvzzuuM08Mra2PF9DlzxyF4480NKPPFVFkDyUwZE8EdSYPCSUmDzfH5Q8xBmUPGERoDyYM6U8IY6oPJAHrTxCRbw8R+W9PF1ZxDwiOsI8fhS5PN25rDw38rM82MyyPGYPrzzEJK08eZ+5PIVV1DwD8Mk8GBLDPMQIvDyMUK48Xg2hPLssnDzh27E8lzi6PHg/vDwjKr88tuqvPMY5rTxKC7c8yx28PA49wDyvW7I8a8igPEMqpDyd0KM8h8WqPJH1sjxmKaw89VqqPFptrzz2SbM8sHTHPAXv0DxiWsc8iTPBPBpKuTxCVbQ89AKyPFD/ozwoZ508GdW4PFRbvzzZ+L08OGTHPFW10Dxhb9I8ojvVPDdv0zxRD8s8yKLHPFAuzTwCWsk8GkLNPLpr1zxG9M483V/JPELkxzz+tLw8WFbLPHGO4jzepu48w4PzPMWq9zx2Dfw8lOIEPSd+/Tyd+vI89uvrPEsF2TwBJt88N63ePJ4W7Dx+tec8skvePA7s4jyA/PU83QL4PAB9BD2XSAQ9S+EDPaEbAD3gSAY9E6YDPYO7AD0ZKgA9YIH8PMNF9zzuVQk9R1UVPYTlGT3j2x49Q8scPeCDHT1tUBE9DxMLPQSzCD3tpwk9g3wAPQzYBT1zZws9Yv4FPQp6Aj10EwM9XWr0PFHq5zwQPPM808zdPN6f3jz3FeM8AHvhPIZm4zwfI+g8tk3vPHmN7DwCJeo8be7hPOse4jz6kew8BCXpPN0y0Tz8isg8yey/PNEWwTxN3OA8BhzsPA3k6Tw/LvA8vOn1PHWK5DzYpvA8CX0EPaFpCT0SbQQ9oR79PEHLBj05BAo96MoNPWWeEz0CqyE9N1cePT2UIT06ERo9lxoJPRkvAj37/gw9xOEYPTz8FD2HyBM9HpAWPe3YHz1yAh091KcRPR3JCj141/08jT7rPBfV5DwfrwM928v6PN0S6zzT8Po8KYkHPehtCz0c8BQ9EAkSPadrFD3XpxE99RoKPdIiCD145wc9U+kFPYPzDT3OAQw937gFPbazBT1w6vg8hoPwPJOH7jzue+88vfTwPBnd6jwjYNw8rqfzPParBz1vpRQ9rR4VPSv+ET0Qku88DAvXPCNuzzxtMsw8qznOPAdy3zxWnPg82XLtPC810DyCp7g8pyy1PMfKxDzav8s8fhrDPI0Trzz/mJo82+qWPK4XjDycpHA8OsB4PPMNhDzrTok8GFCKPFW+kzxLNIc8NJOFPCSGgTxUhXc8ill3PFEYhzzM6IQ82SCAPKTgbDyCNWA8sldiPEWFZDwl8Ww88FZxPPS1WzyjqUo8fi5GPC8VRzypq0Q8nOlSPM8fZDyWn248UDl0PMB/wDxFySE91ixnPUemhD0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8YjRw8qGvWPFddXD1rzGM9H04UPS7cDz2cvS09IthQPQD6BT0HuDA9hu8rPfInFD0000I9c+eGPQH2iT2PSoM9HIWXPWwcjj2Fd4g9aeJ5PY+VWT03g1M9CmZbPSF/Uj2bOE893kRWPfAvZj2y6mA9jX1SPVJUTz3kNFQ9cmFkPcp0bD3Ajm89d+VvPQLybz3FDG09L3VlPc7iZj3l/W09rBOAPc3DhD17C4U94CSAPbYqgz2cfZE9PoiPPS2xiz26xYw9Y1yPPc/cYj3NYjg9aWJDPcxUTT1m11Q92ChdPVzQgD17fIw9t2+NPQ1djT3OREU+m62QPkKVcT3p1T09SWA6PZbIOT0tkUY9Ns5QPShNUD3ZlFM9g2BbPdliXD3FIEo9HYRJPQj8OT05FjU9vzI1PTvdLT0FIDE90G9KPffKST0qCk89EN5aPVmsUT1uUDU9cHQ7PRKgOj1b2jo9Ev1BPaQRVT0Z2lw9bx1oPShrgz2Uh4I9N+ZwPV+0Rj1k0yo9kKchPbtnGj05chk9W6wSPZxNHT3/5Cw9VnE8PcjLNz3QcjA9EMMwPUOfPD36c0M9/JhBPe20Pj10gjo9xpI+PfF0Rj3Y1Eo9/6BDPeUMPD20d0Y9POxXPb9wQz1/k0c9nTlIPXJZVD1LjVg9plJOPaAESj1D4WQ9JJ9oPZOUaT1J8GM9FJ1ePUV+aD2+pms9k7ZzPYwMcz3Po3g9sxV2PVISbj08JGg9zoxpPQthdj1oVnQ9mxJ8PaW9hT1TyIQ9XtJ5PRsggD3uB3s9Ku54PSPvXj2C0EI9vqk/PTLxQz3Gs089Vw5YPUKBWD0Xh209WA+BPX1Wfz0XG3U9wXd1PTzqfT1xOns9rmZ/PYDrij3rOZU9xCWBPd/wZj2tY3A9naxoPZbkbz3bWnw9xBpoPV5OWT3m/lY9Es1IPfvbUz1BRWQ98xhTPR/xUT2BakI9mJo7PX9jOT2wFys9QaEyPXTPSz1pc0o965M3PcyyKD3qqBM9DeEJPf3u9TwXz9Y8oxvVPHTI1DwnkdE8uSK9PHwNuDwj/L88ugjBPBm1xzw4hLk81hq3PMY3wDyEMLE8RN6zPOI+uzxz9688NKSfPNvPqjz1y7A8A1CvPDf0szyJga88k4S8PHRVyDy3x808BrPOPE/P2DypH+M8AzXKPNS8vzya7LI8S5XGPLkT1zz/wcc8nhLUPO7a2DzPN9o8zUfEPGj/qTy7vaM8T1egPL2npTw1J7A88W6+PK6eyDzuvs88V7vVPDEh5TxQTfU8rz7rPJOe3Ty/id48XHTZPHr20zw1kdY8w/jXPNpOxTxbFs88v1/UPN+NzTx9Isg8Vj7GPH6yuTwKMbs8X3+9PAhzvTydCb087VPHPKJuyzxVw8c8kofPPA2CzzyZXtM8ib7HPOjWxDyhqME8ZI62PG9Mrzy5S7k8NV+7PCtKvzylN8U8Mi7QPJ8U1TwfyeE8InvwPIZQ5jwfGeY8HCzrPKvo8Ty8V/s86SQBPbMa6TzmlNw8u0fZPIAe3Tw12fE87qnuPPy+CD0K8fw8VFXMPN26tTx4Lbk8ahe6PPs1uTx/cMI8G1DhPEuk7Dz+gwQ9SF8DPcC76TxdkNM8UOzUPCO/5Dyhxu88fY/gPAC5ujyRcrc8FHHMPKohzTzkIcY8ts/CPHqHwjxTvcs8DG3UPITN0zy7gNk81wH5PKVjBj2P1v48vhPrPHwS0TyDJbo8dtyqPEMLnTwUMak8cKWrPLV8njwXXJk8vd6LPEmVlDzxn5M8BRCTPKOwljw3vZo8cf+UPMgAkzxLKZA84YKOPGGjoTyuCMY81tS5PMsYmjyKUZI8KQOOPJ3akjzo0ZY8pqGtPLXOuzwJEbM8scS3PNJMyzxYBMw8JSvAPCdPrDw7PKQ8CmijPJ2SoDwIxaU8n6G5PHX7wzzt48M8S1+1PBQzsTyQM7Y8K7bFPDclujwpDrA8oumpPMqQpjz8F588bPChPAqnrTzCzrI8tzGxPMNBpjybCqk8YEmzPBv3wTy9db08Iju3PFY9vTx9/LI8jHqnPJVHpzyhu6U8fYKtPJ9FtDwZSro84l23PN4nsjwxzq08DPysPJk4uTzAV9E8d5PNPE78wTxSysY8rDrMPG4Q2zybkPA8ZFfsPHeD4DzLj8E8ijGyPAwruDzyn8g8HojcPAQA4jw3Ou48gvoIPS7JCD0YWOs8owfIPJNwvjzdk788/t7MPIq+0zx1Ndo8M5fePHYP3zzwr+o8adf3PJE0BD1fqAo9tH0HPRpUBz2BPQ09Pi0PPWYBBT1Unvc8HFz0PObd9zwlzwE95cUHPUu0Dj1tfwo92KkSPd+tGD3koRM9tCP4PGp5+jxyQAM9a/oAPcX0Az0zTAM9CcoAPcCGAT3MtwQ9lQ8KPVL5Aj1fEwM9vJEGPTD45TzJr8o8gOvIPDgA4TxyKvk8oP/zPOHl9TxmW/o8zA38PA069zyBr9E8MPrZPD2b7TxO7uo8jDLpPGOK3jy6yNQ8kcLfPA/B7DwzfvY8yC7vPFiV9jzCauo8X83/PDTOBD1uEwQ9J7ADPWJQ+Tznx/s8D6UCPT4zCj08EA49tYcPPcYCDT1AYw494E0LPYA3/DzMHu88KAL6PGfdAD1gnQY9PasOPUM4DT3Jjgg9R20QPX2IFD1xtgI9CTz6PFs0/jxg5QA91UcRPb4eEz1/EQU9M0YHPe/fAz0P3QI9OEcMPdTvED2CCgY9hmYHPdS6CT3Qqwk9jjz8PMyFAz1kbBE9JZEIPaCVAz3KMQM90uP2PIVg8Tw6puk8kPDbPML1zzz1pMw8gDHWPKN/9zwB/AA9AnQAPY818Twn0ew8KbncPKiLxjyIBbg89TvFPAGa3zzpsew86iIAPVgH4DygAcM8fv2xPC+krzzcrrM8etu/POMiwTxxlqQ8eKmHPD6ieTwKUmI8vS5OPMjwajwFMI08VcSTPGAgkjwmaIU8Q+hXPNyjSTxYY1E8j5JdPLg0YDypnVQ8gO9VPE0SXzzGKG48ijhpPOKXaTw6DWE8+rhrPNsvfTxVGoY8t/eHPJcNijztwrg883QdPe5cWT2nBL49qI76PYQCAj77hBU+6jIjPkFxLj4G1DM+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfw0KPz0NCj89jnc/PYsbQD1KDUY9UQw8Pc3yVj2LKjY9MEo5PRAQRD2pQ0k9gpJRPVF/NT36/Dg96bxGPRUNbD1CKGc9cu55PdfTgD3bMoI9OZKBPYrEbT2jH3M9d0KHPUXhjD2s/Yw9+U2MPetsgj1FMo09OrGZPXcbrz1DQ6w96YmaPWgaeD3aL1Y9EKtKPWG1Uz11oFk9GspiPcs2az2ATWs9TsOOPVO6nT30aJ89MVBzPpSM0j7p84g9KEA6PfO5OT0sZEs9edNzPQovaj3g81Q949ZmPRI2aj2y0nE95M9dPbZKQT0ilkQ9R5VNPV9rOj2dRzU95Go6PWOcTz1FHkk9fEtAPcDAQz3wKUU9+EI9Pb7bNT3UWDQ9Nig4PTMTRz30Ck49xo9RPaRpVT3HuUg92V09Paa8Rj1Cajs9t5IhPaQ9KT3p5Sw92ksePYNFGT23ayA9+QouPVSBNT0GwTM9igc2PY9pQD2l20s9oxxKPVeFOz1QHz49eQ9KPdHjSD2V/UQ95zVEPUjYPj3yjUw978JOPVu+Sz3pvEs95g5OPdyIUz0fyVw9XMpbPT5yXT2AuWI9vNBpPbJhbD2dHnU9ZriAPQB/dz3VF3c9Ffd8PdSpfz2fknY9UdOCPb86fD2ckmI9rT1XPZS8Wz1BKGA9gS59Pd/riD0tw4k9LYaSPb+6hD0sd4Q98EmIPTCsej1TC3c9LNZcPQsuRz0WiUE98HJWPUwGgD1J44Q9pwmJPTn1jD3TqIM94Px4PYuHcD136oI96b+LPaY9hT2LS4Y9HiOCPQHlaD3MYG49vrloPSEzaD1uVmo9DrNpPVtKRj3UcDI9vFk0PUvILj1Kryo9qsAlPblEID0COyw9V/BQPRtRbT2043M9/Sc2PRaQED0jkh09vJ0ePRANDD0QyQE9U3fhPIIpxDwJacY8V8vHPInKyTy1E8E8alK6PCSntzxVPZ88vw+yPMVauzzhZMA8ep+4PMzOtDxtPcM8GnTEPOSIvTxpSsU8Fwu+PHwDwDzO4bY8c43GPOnb0jzcwcs8MaCwPJiZsjw1mb48WPrJPJAFzjxkPso8dFPbPEmf3DzeYtY8PWXKPGGQzjyve9Q8tNHLPOvFwzxbfLg8BLqzPObhsDzGY6A8VLykPEnTpzwJT7c8N4y7PINBwDygnM48wwnPPCcq2Txfjd08JVPnPAhs6jxTbes8+ILJPAxJ1TxV79o8L03bPGVazDx3Gbk8A/3FPJaR3zx85NU8cGzIPCwIuzxPCL082kzPPNq40jxBEd08grLfPJtg2TylCus8OXXjPHy00Dwhob48fG64PGNcxjxD0sc8Y5jQPN6s0DxQAM081uvMPN8o0jzIjNg8iQbVPPlO6zwi9+48D8PqPNFu9TxgvAI9vA8IPVoWDD1GoQs92DQOPd4SAj3nQvo8vs73PIdi9Dy5MfE8Qu3yPE5C4jxYgNU8jx7APLbevTzCFsI8TRrDPOqAwjyHAMo8CIDvPFH0BD0rtwE9I0PrPGp52jzegOQ84nPUPJi41DyXmdY88b/cPKfqwjwZFLo8lqDAPErS4jwdC/M8Sg7iPKl/zzz6pMY83jrPPBfO1jwTBNs8FtDbPIo59jy0J/g8WuDuPFJj8zyZGsk8WzmnPPuqmjxv35U8INihPK09pDx+HKs8YUusPEOOmTz2kaA8aveTPCqGjTy3k5g8uiubPALDoDyLJKA8IZChPDt1pjyaQpE8GJmDPC5zijx1sJs8HmOnPEXjoDyl3Z48kaygPIfEpDw1Y6Y8seGdPAiynDz4Vag8RzmqPGcrozwkvKU8OeatPNRHqzyquqE8cjarPHXxuDyD8MQ8CSnAPPNIszzrH6k8Wb7BPLrHzzyW+rg8R+mjPHEOmzxSv548y9mbPNYCnDxhqqA80ZWhPPB/oDwpu6Y8MpyoPBTTqDwAvrI8nIi5PHuouTxPpsE89Iq8PAW0wTw04sE87/+9PLmytzxmy7o8Wm+5PPSjsDxDXbc82WK5PIVBuzyWn7U8h/y4PE9mvzy0IcU88NbGPNrZzjzhdt08LtLvPBwl5DzGbtU8LkrOPDs/rDztJa88utHAPODhyTzhCNs8FnHkPFjxBj0u+wU9WAbdPFPuujxGUrk8DQa9PI/9wDwCBMQ8ov7LPOuo0jxsvdk8DdPvPLiJAD1KsQ49pkEdPcnQFj0kAg89IkQePa34GT2efQ49HJf4PD0z5DxlhuA8UO/pPGdeAD1ZIwc9OOsJPQHeDj03wxA9YZkCPcuo6Dy1XfU8T3cDPeADDD1YzQ89P1EMPQ/YBT22hQk9qIYNPRTWGz3l/CE9B/UbPWZ7Cz1XUv88rf3ePL2v1zxKe+Q8Qmn1PIkZAT33pQI9X6UBPf5s7zzqt+Y84YfRPKN/3DxYfOE89NzZPBsg2TwU7eM8P7vuPG5w9DzVK+s8ozjhPDdd4jyW+vI8U8DyPAab+DzoWwA95CQHPR6/CT2FxAE9Mxr3PJBHED0mVhU94gwVPSS3FT1vghU9bmINPQD9Az2Ezfo8EXYBPZmIAz1wEBI98y0SPVczCz2Fyw49iDALPZOiCT2KUQw92ZUFPS6lAz1HBgo91b8HPaYVBz1axQk9KGUNPccPDz34aAk91jkFPaw8CD3Yawo9R8sPPVQkGD3VkhU9vtwQPXQIBT1WQAY95vACPYtrAz2TC/Q8hQLpPAD73Txm9uA8usPuPORg8TyMa9o8yQ7TPFl0uTzW/LE8ECvAPLlYyTzRbcI85A3APJa0tzzGtL08MD3IPN9k2Dxope08CavyPDaY8Ty54dI8ZXfIPKCLtzyYLb083NS/PKumvjylXqo8MN6BPFHzWzyMOk48nZtOPAKNazyOb4g8e7+DPIZQZzyM3lo8k49JPE4yTjywWk083PA/PO0LSzyWoE88C1FJPGJ5UDzUnXo8wo2APJPfjTyAopc8LBT2PBXdET3H4SE9zCFFPU4Ejz1UW6A98zwCPhPMIj5BqC4+F9NSPoSJSD6d/kA+qCI/PkCnMj5ujz0+1JpOPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzhoTT1Lz0Y9ud02PezeVz0Qams9i+RePf2EYD1DP1s9cDM1Pbv9dj04Soc9+H2JPQqChT0NhpM9yB+sPYjtlT0n/1U99bVRPa+daj1p33k97mlsPYixej2jZ4k9R9CFPZDCkT1lMJU9Yi+NPQxMeT1M+049B4U0PQ2PRD3XG149WcBgPTZBZj3xW2M9SOd9Pd2kfj3ycXE9AKRqPQuvVj1s2Ek9satHPRpeST3MAEE928ZGPZaeSj3bD0g9WCFAPV3mSD2ZG0o965tKPXhoRj2nzDk9TsQ6Pb/OQz2rPlY9maVWPTF1WD0EFls94nE/PbhCLT06ZjA9Z6EnPWoaJT0iGzQ9O/hFPQcvNT3dGCo9PTU4PfoGQD2oTzE9aQxBPR0zVj0wJlk9IdJWPcdGQj39dzc9tmdCPbUdWj11Qlo957lRPdxVTj0fh089JfZaPVC/XD35CVY92rpLPeu6Wz3d1Gs9cedmPSfeWz3ieFY9zBtfPVhQZT2ntWE9dKNzPRKggz099Yo9Cv5vPY67aT2jFIE9rXNtPUBzaz0vEmg9/7loPUsRVT3YsV49GyV3PWNOgj25jmo9ae5UPSimdz2O53o9bUl2PTQ/dD2ljH89Xmx7PQcIZj2rtXE9VoCBPfZchj0na5E9I/qHPSA0gD0JFns9ryR4PdMrfD09cGs9diZWPalPWD1Hlk096Z9EPQDHPD0YokY9anNbPbUgcz0D4GY9JahSPRQcPj0JbSo9Slk0PdImJj2E5B09b/MgPZTxGT1KMxc99N4OPS4JGz1h9ho98sQRPXlGCz1T8gI9GdHuPCeL2zzMsts8HNLePFDW3Dxw4MI8au2/PEFtvzz0ss08lJXZPO0E2DzW19A8THDNPKWN2zyVrNM8bWvNPA1sxTz8dt88NmroPHKozTwqrL08Uuy6PAItuTx+aMI8XvW0PCa0vDwlcc08yYTEPMDwtDzcU7g8WZ2+POBQ1TydZ+A8TlHgPAmd3jw9WtY8DunGPDfmzDzRNsk8kHLEPE1GszyOYq48NEixPAnHszxu1LM8o/qpPDFTqzwZ/LI8Yoe2PBbQvDyPqrw8dpzLPAZ+0DzsSd08ELjhPGm+7TyzCuM8ganHPCcpxjxnvsk8OLvDPPIHyzyv6tE8YzXoPHLo1DwIlsM8cqnNPCAjyDyOULw8KafQPLVr4DxalOc8uzjwPNzF7zxPh+Y8TrHhPHf0xzxKu7c8jiy4PNrAujyBcr48KKrIPOX1yzyihtE86ePePKUl5DwIHOs8kDrmPGmQ3TyCONk8EYfrPFKC9Tyv0P08QZT6PM/CCD3+mw49N6gHPVwtBT2vsvU86OTrPNL5/TzsEfs8Eq/jPCYd2zxB8dM8eB3PPIxH3jxrb9s8SWrgPHbD5Dy9XOk8L6zkPLET5jyjJNw83NLVPLgk2zz6b+48ea3ZPGf8vzzid7s8MWm5PNXtvDx0j7U8oafIPGlT5Dz9ZeQ8GiHcPFCV2zxilN08NefTPFz74jxBk+U8193nPF167jzTWsw8ofKxPIqYoTyYUpw8S3+ePNykozxCb648uIq2PAOfxjyWbbI8jjuqPDIKnzwGAaY8YMaqPA8FpTxf+qc85zWrPPFMsjwykK48U+S7PBvUsDyV4ak8LpqgPCdMoTxFiKY8Ht2gPK3opTyacas8el/LPO4/wjzoD7Q8VuWoPHo4pjxvaag8JX6xPD8duDxM+b48h1mzPLMvsjyZOLc8e1OxPLdNuTyL+bU88/OtPNajsTxx0rI8HdK3POxTxzyUEsM8+UKuPIlWqTydvKQ85JeePJ5smDysf6E89fCnPJoWmDx7sJI8XD+ZPJ+xqjyGeLA8X2KyPPc+szyvorA8gkK1PI5/tjxqQrQ8g9+3PF7WvjxoGsU8xte2PM3TqDxgALM8SSq7PAuBuDxAkrY8EGC2PLK+tDzaIbU8UFfFPILcyjwca+E8NhPoPLdd2zwnE9U8mz/CPEf4uTx6nbY8Ws3SPImc2zzuYt08MHfsPCYp7zzgZ848/T7DPE8wvTyu97c80nHEPP6oyDzITcc8HELIPEEN1TzSCts8AX/qPMc47zwoWfs8nwICPduOAz2NywU9Rw8JPZ8zCz0MgBo9tbYfPed6Cz3Yk+48CgbmPC9c9zxJSQI9YicBPRQg+Dzab/o8kMz+PJYg+DyQj/k8FkcDPdtGBz24xgY9OhMHPdDmDT0DUhU9ZIYLPQ8p8zw+7fc8y/f7PGruCD3PZA89gKgAPY//5jwRmOo8aeHvPAdtAD3/Bus81gHmPCUm6zxOa9o85pnUPKnr0DxyTM48garXPFvp4DzVJ+Y8m+PoPB83+jwXNPk8p034PDI09zxltfc8N0X0PAjQ8zwFTvQ8268DPY9SDj2+hxA9LiMOPR6fEz3+qBw9mSYfPfGTEj3SrQ09pS3/PCnD6TyPQeM8hynrPBDmAT31XQU9K44MPZ7nET0BGBk9pRkMPRokDT2uJhA93gIVPbgyBz3t/AY9jDQJPUMoFD2ONBg9TdMjPdJ9Iz3ODhE9bivpPL1A9TxbsPo8r6r0PI5V8TwgbAE9e10LPbVCCj2fwQg9PSACPX41AD2UKAA9R00CPXR19Twmfvk8qav0PPh32Dy0jsA80n2wPJSQrTyvbaU85IKxPMDkxDxA1dM8kYTEPKAbvjwNaLg8/93CPKnH8jxLpwE9ctXkPH+h3Tzk5d88ygvPPFmivzz477g8nzG3PJrtszwrGZE8ONpoPJ1CUjwMul88+a9mPM5raDzuF3A892tiPI7ySjwXvUA8H3RIPPmBTDyAVmE8F2dcPILmVTzg+V888fVbPPc5Wjzqp2w8du2pPLr2Ej1D3Lo93jgDPqGYJz7y5z0+y4Q3PsaDJD4BhyE+sPcjPqt6Oj7SDkI+oxNBPqzjQD4p1kc+L8pHPhcaQD484To+hlMxPge4Lj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8qZds8I1EvPZx4Oz3r2nQ9NIdsPQD6dT0h8YY9m+BIPbpPaD07Ek89Y5E4PeEOQT0kfj09SMY0PYQURD0qAWU9Tn1vPVxCeT3S+X09YwmGPTs2gj2FU3I9M3tDPcEeRT1ogT098/M9PZ6tSj3nxV09GDhLPcj3OD081iY9xW0nPWJHNT3qrTU9e3Q6PUVdQD0KEDk9JABEPUG4Xj2YAF09fZxhPRdbZD0fKF89Km1XPdSlRD0x/DU97Aw3PZ75NT25rS09dkM1PddmWj2h52M996BVPV0OST0wnzs9HtNWPeExUj0PEVY9DFNYPY+STz17CEY9Hz5QPe1EYz04K2E9OT1hPZ2wXj24NFo9TxFaPRbudT2UbYA9ooR7PUMSeD1HIW49mzttPSr0Wj3wfFM9jppOPThMVD3yJFw9jstyPcKvYz3p/0w9QNpLPVxyUz2M2WY9xnZ4Pe5zcj3igXA91W9yPSuLaT3MKWE99k1vPc6raj3t32E908xePXpIYz1HL089zp9ePV8Jgz2Hy4Q93yiLPUHqhD38XYA9E3eGPRZXgj0FmHs9THByPdU/bz0pUGA93o1dPVHobz35vXI92bVlPWMfSz0fWTM94G03PVT7Mj3njzE9vuNPPZvccz1IrnU93y5cPWoXOj1PlCs9LNIkPa8KHz32rig9jVcjPQRCHz2LPxU9Nqj6PJIUxDzR2d88YSQGPZ8JBz1vk+A8sJndPOqiAD03YO88W1jvPI5t6zyh0+w8z3zxPHVA3TxvH+Q8/ZDiPIzq5jxfkwA96B/kPMf23TyOv+I8xAnDPNvewTwjBsA81hjPPJFazzztf8o8XPPVPAQ/2Tz5x848yVzHPCSqwjxYObs8l8K9PAGdwjzh+6c89F6rPKvrujxfKsg8g47GPHsLyDw+A8k8JFPIPDrw4jzJr+08gzrfPC4E2Twyssg8ZRWyPARRtTywv6o87tuePN5hpTxsIKw8sM64POkSxjxylcg8NrnJPNmx1jwD0M88bn7CPPqZ1Dzsysk8QYfEPG0+yTxb+c88vo69PNUCyzyyD+U8PNvpPJJa6Tyd0cY8sQLOPH2V5Tz1p9g81qzVPLaB3zy+nPc8IuT3PCJ98jzdD9E8ebG7PByksDzWqbE8/gvQPBKi0zyBGc48+OLGPI1ezjzM9sk8aWvWPF9O4jwrZug8gePsPFj22zzFg+Y8NWbzPO+66jykIuQ8rFbtPIod4zzjJ/c8G731PHSy6zyPGO08mx7uPO0k7zx16dc8l9TPPGQN0Tyk+9A8mNC/PIcvyTwHfN48wpjvPKqZDD0QOhI9sh8APcGM6DzP/uA8SAnkPKQ28zyb3/Q8FkTvPFME9zz8NdU8NKzGPO8bxzwrJcg8uR/fPN7V6jyjXeU8IpTfPKp+3zx+2Ok8tO71PJk67Twb7+k8ZV7lPEp54DwmM9A8sI/CPBuZtDwKHJo8ZOadPFyypjyJj7A8F3ezPDTFrTyLHqM8dk6pPAsmrjyFtaY8tkKfPJJCljzr7po8PsunPM9dqTzcZbU8elPQPF9n0Tw468w8+VPLPDyvyjw+Zrk89FGuPNButDy8urw8RhrHPGQYyTz/lsg8OPSsPM52sjzsILo8PvrEPE8U0zxKptk8YijhPHQSzjxYpbk8wVS5PKFJwzzeRrU8hDi0PBq4rTwW56M8HUykPNDLrDyIY688Iwa1PNxlrzwD16o8YGWsPO2QqDy8KZY8ytOVPOrnoTzjmJ48OeuZPMfwmzwkhZ48hYygPJFxrTywUb485U3CPCBawDzSucY8t8fSPOKG2jyBhro83PCvPDASrTwB4Lk8vKC8PFGHvDyGtLA8P6SvPDAguTy448Q8o8bCPBLRyzzmN8g843LfPNbG2TzGT8Q8G2e+PGh4vTyQqbk8zL+3PC/JxzyHJeM8XSbvPFOA5zxRF+I8OvbRPCIs1jzdMuM8hdPUPNckzDzIR8w8Ir/bPCRr1zy2k+M8whrsPM0u7jz5ce48w/bePK3z7jxaCvo8YiEBPQBEAj2eeAI9JVcIPf1wDz0p/AA9bon8PHfbBz0JFgk9dfkFPXZ0ED1l/QQ93DHxPHvv8jzBN/U84I3+PHmqBj1qhQs9Nm4PPexpBz1IkQw9giALPWyJAz185/08q7gEPU10Bz3uUgs9R2f+PLFN6Dxa2No8jtXcPP/P3jwedeE8JTPnPCfy9Tz5Eek8a/3bPO+X2zyz7N88MRfgPOSD4TyC1+M8sy/zPFko9jys0uo8uaLpPMd/8zzMRwQ9nd78PDxn+Dyol/M8PMT1PJt/Bj3Tjgk9hBEePeLxHz3VHQ09sfcJPZQfAj1hp/M87WHxPE+N7jx+Ld08v7zgPIsiBT0pcxE92YsQPWSKET0feB09R2AUPZUZBD3dvAY9WecHPf/wBT0gpwU971YEPbFiAD3hEhA9g1wVPZYFHz20aRY9N5YFPTqP6zxVz+o8o2LrPA4v5jyCsuw8VD/fPAJo5TxOVgQ9MMoGPS1+BD0/OAE9gA0EPUeFAz2dKA099QkMPcz66TwmYsI8wgyqPLK/pzxTh7M8qP62PA2UwzzBes48bZLcPHMu1jw8Z7g8U6m2PJ2lxjyRnO08L8f5PHti6zxy49A8696yPPyQpzy3LLA8taidPFeulDwoo5E8QkJ0PFCydzyJfG48rSNjPIkQcDyNVXM8K2pvPGNLUTzE0z08jORGPJVkUDwvE1Q8cMFmPJzDZDzsuYQ8rIvdPC1Cdz1cAI49ig7FPcl28D0Qdxk+X51GPmjMMT77ODA+lB1BPvUGQj6KzDA+Wq84PmJTLT7iQCo+24wnPm92ND5+zjY+ERU0Plh6Rz56Uls+qvZqPn5YUT54bEY+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3rOuTwD+TY9r7wWPZHJ+jzUmgs9Hw4rPQfkfDzdcPY85pMVPfcmHj02SSs9F7grPauFNj0wXO08K3sbPemZLT0/vjA9I+EvPWYyOz17lT4959s2PfpoKD3hNiI9JpMmPVHoGD2EHyw9WnhMPfPaVj0itlI982RfPcs6YD25dGg9rXxyPYV9bD3FO2o9dcdNPb3uaD2Wb1c9Tb9TPbSXXz3B51k9NmJgPb+RVD1JjVI9l1FFPb2ZPz0CFUg9krxLPWsbST32l1I9MK9hPVTOWD2sh1Y91k5hPdC7cT29w3s9T6d+Pe2SbT3kW3A9G75tPXRnXj1k0ng9ZnyEPfejhT2LPoE9NWxxPWnkXz0IdEk9gelMPVqWTj2dclU95NxjPbQCeD3+HHA9Td5aPe2YVz1e8V09U8xlPet8ij13/Y09Ua+BPY4gez2MhHc9j16BPZ7dgz33yXg9c+ZpPf3eZz1nXFY9zAxjPfoKXj3QUmI9+vllPYadYT22PnM9e/hyPUgjhT3ZlXU9/PRrPeLeYz0/xl09EmdnPcTeYz2FRGE9KT9ZPeLpRT09ljU9AIE3PfmtLj2xMyw9mT4wPdfOOT2lbD89XIk8PVu1MD24AzI9mHAxPdhrST1s+kk9OSo7PcdSMT3RiiE9PzscPaJQ/jxFKdE8E8HfPNpy5jwJ3sg8qJi9PPhjvDxd8b08Ewe+PDOtxjyWL9I8AWbUPPT51TyQnNg8qePdPHuc2DywzNg8djjcPIDdyTwqFMw8huLFPM67sTxiXbE86g27PPu2tzzj5dU8BPbXPO/HyzxuusM8UkW2PI5OwDzP2Oc8g2DRPNzpvzwlybw8JbS1PFzxyTzw3sI8v2HDPGZeyzxAJc88wZTaPL/A3DzikPg8q7HxPEfDxjw00MA88r/BPJkVvjxxRrs8mbW6PON2tDw/xLE8EEurPGO4xjw8PtI8VUG/PDl/tjz76rM8UZ+9PIl24jzH89A8poO/PIlHwTxjLMU8j2vUPIGL7Dzi5OU8aa/ZPIPt4jwi3+Y8K6z4PFQj9zxHuOk8UbLpPPGu7TyKD988rdjUPOmayjwcpMg8ifHEPN9Uvjxp6a885Za5PNEHzjyfisw8z9TFPMkvwzyDWMs8XSPdPA++2jytwdU8WO/PPDN+0DzdYu08Dfv8PJq0BT1e+wY94N8GPbeYBj07hAM9+fn2PNwu7Dxiifg8AKntPKXh5TzA7co8eTbUPJpN1zy3rdo8h8bbPJp/0zzSqtY8ucrvPMqfAD1Xfws9vpgOPRi0Dz1MjAM9YCH4PBW7zTwQMLw83Ti3PDtYxTxtqMU8NqO9POHGyTyAMs48BnnOPADX5jznv/o8pHLxPJeZ+zwTZQQ9k6oFPZ1sCD3ZBgQ9EfoCPd+77Dyuycc8ZNa8PMYjoTySQLQ8owGzPDzWqDxG06w8zG2tPINooDy1Q5Y8OSqhPG8RuDx5z7s8U7uzPBe0qTzxgKo8R8CvPFjLtjyk3Lg8O77LPB1kzzy3j708F7qtPCC8qTyOBKw8uz2nPHYRsDyEDrE8bo6rPLS+qTzEGqc8QPahPFcYrTyAT8Q84q7YPIV36DyNX+o8sHXIPD1Y4TwsGdo8TcLBPEpvwjzt98I8V/OzPLzFqTxI0q081e+uPC53qTwHPKg8obymPPheqjz166U8uMOkPEetpzyQE6U8FG2cPIutmzwQ9KM8kvavPE8nmjyiXJg8JeybPBO/nTwkSJw813arPDBCsTzGFMA8kLjMPGrx0jxYeNE8cty6PLCdtTwkwr48dKaxPB8WsDxTAKw8pvGoPKkQqzxIHcE8+PHRPBPD1jwwTM88rFWxPCryqTzmWqc8LmusPBR9tzwO2rg81NC/PDP5wzyAntU8LMzcPGzi6TwDFO88eKDZPMAO1jx8seE876LgPI0g0Dyuucc8mCzKPI0cyjyladw8O732PC05Cz0A4go9wosIPX9++DzmffM8vYsBPccIBz2NfgY9K+kFPb65AD2A9vI8F0DxPIez9zyKJvo8Ezj8PKQfET3UJxM9CGUEPfG1/jyvDPQ8aJbxPI397TyJnfU8TkgEPTT5Dz1StwM9TXYAPVpG/Dyo4Pc8eXP5PLM37zwjQ+Q8U63hPAge4TwtMOM8VxnbPF493TxsiOI8Vg/oPPESAj2NmPg8XLHhPIKI5jyUBO88ToPyPFcV8TyU6Ow8cinlPJQayTy2P8I8itrBPNmIzzy+yd08upb3PGYs9TzIYvI81pXvPJ9P+zwmmAE902sIPY5cFT1MNxc99TgOPV0W8jz+d+U8ZwP6PJlFCD2KVwg9/KH3PJx/6DymaAA99xgIPcYRCT1iTgs9trAWPaB9ET18Hwc9a9UCPV7UBj1OUwY9huD+PAEa7DyggfM8OVoHPYX0CT1OzxE9TCsOPTnRAT3PIOw8QE/qPOKu6jyvu+U8dOT5PHEy9Ty2aeU81jD8PHLRAD3f3gE9cH3yPJgS3zw4Cr88P6O+PIBBwTxQLso80CvJPITxwjwnyLo8C8S7PCR3vjyZqs48ZNPbPPXW4DwiN9Q87y29PMUjvDx22Mc8zNffPPgT6jyuk988GOHGPF1GwjwPIbM8ZxemPAJqmDy7bIs8Ued7PIxedzyrDXs869aBPL1qeTzH2nE8Q8duPLVaZTzjUms8vWpqPI/PbzwXgkQ8tkhIPPwVrjztZ0k97ojVPUEYJD7GNj0+1Bo9Ph1tOj605Dw+ueo5Pm0HND4qK0Q+ExtDPlQQMT6rwyY+LGknPtPUKz7HvDE+U2szPvBqNj5PATU+k5MzPotNLT4eyDg+PAI7PjbGPz6faz8+n0g/PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/JAsWPKkIrTxAzNM8NHXBPDGE2Dz6gwU9rxL1PBjfszz93QI9vOvkPMk7zTxdr/c8K90lPWxTJj3W3CY9abIoPW+CNz0+1kw9LydUPTW1bD0JgGo90+xyPfTAWT2WkFs9IIZrPVKAZj1wsWI9n/FXPbG2Xj2DSFM9tSFKPdyaVj3RC1A9YXxDPVaMQz2An0g9HaBZPahfeD2kknc9OIdvPb2KZT0gvXg9BeOGPeFAjD3cj3s9PMNpPeV3Wz0s/kg9WFZFPb/wTj1eTU89FwBMPVhITD0gEVA9BGFFPUm6TD2j22E9Uo1pPaZweD3CLmI98YBdPe5FfD3Yv4Q9MduCPRk1cz38Z349+9aBPTfTgj2Mi4c9r6GCPfF8fj0ynGo9cF1iPYZFXj2P11Q9SNk7PZgiOj3emkg9WKxHPbwBVj1Q52I9LzJxPTd9eD3d71Q9Oo89PWSXWT3rPWY9R1dnPUJ6VD0yo2I9d79pParUVj3B0UU9sLsxPYmVND3eCCg92b8rPQB5Nj0y0Do95aBEPazUVz0K11M9zGZWPehmWT0H2Fs9XORIPYXQOD0e7zI9yDYuPTfVID2tZwk9XiK/PN5gwTysack8uG/BPFiiwjwCpr888uvFPLfHtjx9a7M8luq/PGtZwzzjH8s8k+W5PBpIvzw2v7Q81KrBPG7zyjzT1tI8YgbPPGWwxTx/asU8XNDRPGFN1zwnbso8jEPUPHY01zzzfsQ8YayxPL7BqDxDHsg8QiXsPENP3zxUncY8f7K7PBHkujxHvNo874naPB3fyjwJk9E8aaDVPFzF4jxz9Ns8v3LhPKd80jxi6MA8/pK9PPw8wDwD9cU89ty5PInWrjxuZ6o8u72qPNOLuDzj/sU8mpDIPN/Fxjx7w888v1rTPJcAzjwEi8s8j8W/PHMWszz8prU87W25PIJl1jzUD+g8HGvbPFX01Dxa2+M8robnPB1o4jyipeE8qyvePGX25TwOwe48j9/lPItz0TydVb48BlLBPAcNzzwUYtE84MfPPJJk1TyqHNk87U/KPMWv0jwLGN08MtnlPM726jxshNo8F8jcPJyY6zyQcvE85aL6PAfNDj1JMA49dwUFPQAPBj0thwc9pTgHPaAIBD2g4fQ8ThzjPN7h3jweEt08aSfJPAU/0jzVGOM8LYL6PFNl/jxHLv48C1MLPVKUCj30eQM9NEP8PF1y/TxFP/w83Ib1PKAG2TwVDrc8lQ2iPG5lnzyDJKw8ZLS8PNAyxDyQNMk8te/RPNvs3TwWgQM9ZuAPPV6xGD3ELB49dDgWPeW7Ez0OMg49NRACPcnf5jzgKtc86mm5PLnurjzS2aY8l1mqPBSurTybPqg8dfSfPK2ynjzlZas8e+KnPOqpoDzVxKk89Oq7PI1uvzxVKLw8SfKxPB8TujxWcc08/x/VPFWB0TyWk648rl2cPD1kljxa/ZA8QOGcPLojoDxf+Zw8VpmRPGV/kDxtTJw8EFqjPMyMtTzdR8E8tNLBPFXHtzwZObA8hdqtPEdvqDzfvbM8BeC4PEekuzxNk7s8gnK6PMqxujw7L7w8gaWxPBG0pjzKvqM8cQ2jPKEjnzzhMZg8wPSePJOusTyUMLA8GbitPONRoTyK6Zg8RDaZPDcxlzzRDJo8n5GaPHbClTz7WY48kNeXPAdzrjw5h788hSvGPBXf0Dxot8Q8/EK/PFMixDxFh8E8kaGyPDvcqzxvqak8+DOYPNOYnDzpW588xRygPJAKpDw37bI8TzW8PO9/uzzXP7o8FDe4PBZowDwACcI8IkLKPGiH6DyNp+08joXiPHir2Tz2HOM8dBjvPLf17jz9EO48mQbkPClhyzw+ur48UdTLPNPs0zwSCNU83+3iPLpwBD0CjRE9mskPPQaRCD3EFQU97wH6PLQi7zw6Evg8uij1PJYa6TxylOM8gKTlPGev5Dyoj9k8NRPVPJK/3Dz1Pf88vPUMPQSrDD0MvAc9aDQAPV6c/DwXkPM8ZSUAPUYc/zyrdPc85AP+PNocAD2vjAI9FP78PBtN8zz6Y+48I7rbPI331zzMFtc8l/jiPN4n5Txor9s8gtDMPOFvzTzA5tk8PR/ZPG222Twq4Os8wPUAPW6S/zwAbus8yTDrPK9G+jyM/uk8cG7WPG3/2DxvTuI8LdrwPKh0+TxZgfw8SdgAPXyg/Txm/wQ9f6v+PM6s8TxLbP883fMBPVCQAj1QPPQ8WpHpPM6e5DxyWds8sBvbPJFi3jyagtU8z4bvPKOY/zwi5Q09fAkQPTMyED2oPwo9ajUHPUa9BT3V3gM9XHcBPQiJ6jxc8us8U5sFPTV4Dz1J0gk9Ts8EPUacAj2flfs8myP9PMAw7zynUek8GHzwPLNMBD1yP+k8WMHfPGxZ6zy7c+k8ggbrPCHJ4jw+hrw8RmGoPCy8vDxaYrw8x9i3PCHwsTw3H6w8DBSyPIqpsjzaYLQ8cUrDPHJi0jxFYtY8ekHKPC6jwzxGYcM8jHnFPPYPyzyDac085VvKPLgl0jx9Kc08nWyrPJomjzyT74M8jbt7PEIPhDyJXIU8NMKCPAYSeTxgpYI8r3uTPFu4yDzRHOM85hA4PXEAsD3Rkfo94FAQPua5ND6k1TA+zWMnPntSPj68zzc+RChHPjWnRz7laC4+EgY5PtgvLD7IFCo+4zs7PpgpOT5VAig+b3QkPhP6Ij4L6Cw+jL44Pg3cNz7qDzA+S84yPjQvPT7okT8+/o80PuYvNz4j4j8+EJJGPv31TT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4L+hzz3vKI81yLWPMCVAz2kyBE9ad4BPc56Bz1ISeU8IQ/GPKOJHD2rSS491cg9PcXCND3isSg9DugrPRpPIz2QTB491G5EPYAYSD3HSUg9A/FIPVGLST2HKks9aQdXPVCKXz1mMH89qE14PeP0bT28/Wk9K9dmPbjYZD3pK1k92q1GPWu1Pj3LUTY9nJBEPQ0SUz32/089tTdBPT/oNj0vyUY95PRXPUq7Vj1xaWQ9Q/9yPXL9dj3phoc91cx5PT33Zj1weHQ9bNJ8PXhlej3U2Ws9wB9xPSAEcj1/nGw9BGJnPSK9Yz3px2A9u71WPSKqUz2Tn1M9tYZRPayOTT2DKVY9GoNQPbfmVD3V7Vo9pyxgPTp1aT3E+VY9AGlFPR9JQj3Lh0o9YYlRPSoxQD2jJTo9TlBmPV+XdD12XUs9wWY9PdFkMD0w5Tk9d7MtPaOtJj3UDDk98wVBPfHXPD3nZEw9jgBQPWfaWz0ldVk9wKZTPQcdNz2U5iQ92VIZPV8jDD2/j9w8MjfNPDiMpjxCEq88sx+0PPiXyjyOltA8funFPJeP0Twif8c8cvi6PJdSwDx4Ddk8hDDrPHeH0TydZ7E8uS29PB4izzwRNNI8ZMTAPFx2uzwJYcs8lQzVPCTj3zyAP+M8on3PPPIv2TxaH9w8uD3VPDzXxDzMfr48utTJPOv15Dx94Og8dJbaPMS0zTxFYc08lm3VPNxX4jzePM08xvPLPNr20zxUntM8ioXQPEkg1zxytsU88kHDPF5Nuzy0+7U89t29PBoLtjxJQLY8tX+6PKKrtzzPR7w8eILOPPDp0jyd9t08a3z0PMZG+DzOndw8V57EPA7ivTyhBa48F2ewPDIPtzzizrg8Iu7JPGGZyDwT1r48SB7BPE/XwjwKp8s8zOXWPJYDxDz2h7w8UIyzPHzTrzwdX7c8RUXBPAIl1DzCh/E8nzLhPH2Z2jykLNQ8cXvZPAuN0jwItcs8SyDEPPu/xDxYRt08r4P6PF+MAD1CC+887DPzPAMN9jxpcwY9bRMKPUfhCT1SJwI9VOz5PDWC3TxOFNg8u7nUPEVhzDz2Lc886erRPEFx2zz7V+o87XbrPPvKBj1eWww96vcKPfXTAT1FpPo88y8EPZnG/Dw0ZO48ZqzsPB6D6jzCZ8o8aeXEPG0LxzzmdsI8dAPCPBwOxzzcxb48r3HEPKIt1TxSHQA9kMIGPVlkHD19fyE9XbkfPQAbFT0whfs8/snmPM7xyjyqxsw85r3UPJpayDxgH788Q83GPNyYqDxG4Jw8XaSUPO0SjzzSgZE8Fd+ePLo5qDyl46w8SFXBPPR/zDzptsw8keLGPN1KtjzpArI8jVu5PKovvzzfhL88RTu5POuZrTyA16I8Il2QPGbckTxPQZM80siQPBfYjTwJaJI8iSSiPAqJszy/GrQ8ki2tPNbssTyXWrE8C7GnPFdEqDwnWqs8PzywPOS6tzxxNb48c4a+PDiCszwVXrM8irylPHlOnzx/bqU8fr+qPHoXqzx4V5c8+zCUPKJMmzyqJ6U8DwWkPLiaoTwQgZI8oWySPDW+njxza6c8Wc6iPFCJoTyRjKI8IXykPB5SpTy/6rE85rnEPNWFyDyPXck8P9u3PCousjxiX608KSCsPDutqjwUV6E8UUigPHAdpTye8qM80kSfPC5XnzwqZ5o8snOvPGs8tzzvjLo8AzzKPFGH0DybM9I885bUPFm/5jyppuM8Ms/ePGY92zw9nNY8+/rfPP6I6zyyYvM8FeHyPGK63DxJCcQ8lJLKPKxVzjywHds8J5DdPJMD5jwWjv88M9IDPQGCAD3Avv08l9j9PImgAD1ncwc9Nn0IPeVN+jx9k/A83HXxPAWB8zzZ6+U8gOXhPD4T2zy82948qDPkPI83+zyqyQQ9IrcCPWty7jwquOg8m6TjPGGt4Twh2+c8uxDvPEM+AT0oZAE9F2D6PH4s9zyubfo8ibLyPOPg3Tw28Ng8oszUPPs82jwQv9Y8T7/QPK5wzjyPaM483UHQPKzgzzy9edY8ql7pPOyE8TxbR/Q8reX9PLhA9Dz8WOo8CyboPA0B2TwJhNY8ovTSPESC2jzpS+U8gCT7PB8ICT1zNQc9FBkEPc1CCz0hNgU9qZb/PGd+4zwj/eQ8FOTuPJt09jw0LfE8ASX4PNXO+DwZjv488cMAPVjLAD05sP08YKcGPUpYCT1nIQY95osEPQtoBD02nwY9OZ8BPWbm+zygj+A8IQrmPE7q/TxPav48Nh7uPC/v7zyPlwE9IckIPSbIAj0PbfI8MzvpPFe86DyQUOA8A33KPO7qxjwAGcM85t/HPHlAyjxhgsc8/8KqPCQSnjzbS7I8nbrAPPfmvzz7XrU8+6qjPIvhozz5P6Y8fla3PMqBwzyn0so8ahrHPMgkyTzAhsY8Y0vIPKIpxzxSPsw8j0PKPK/nzjyZwtI8aVHLPLE7oDxSbXs8iOVwPCT8hjy5q4I84pWCPEcAhTyAp5E8/SAtPZVu1D0svAw+XgIQPvjsKD7nu0I+2549PmN8Mj5Vyk4+oIRJPszxQz6JLUk+Y5ItPjWKFT6mJCo+lZQpPn2uIz4YGxc+ho0xPpKMSz4rbTQ+Xo0jPk4KID6yRjo+0W81Pi+LQz7/KEk+dCFCPm9bOz6WUDk+bj5GPlyWSD53ekw+dTRQPuCaMT6ypiI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf57TbDzXAq48CNPHPBYULz2+CiY9U5sgPR4BMD2CoRc96TcSPdmmNj3aRjg97tw1PX83Oj0WOU89AV1TPYSTMj0PEDc90xEfPTVrHT29aTM9A9w6PZDaYz3DrG49JahfPepbWj0HyF89vUZtPfXQgT3s6YA9BRCAPZWihz2dC4Q9POWBPV3fdT1Z8mA9h4haPZDdWD3Tl1s9GjV4PSKmgj16u3493cdkPb4DUj28GE89TCtXPaV0Xj0gYWE99/pePaBobD2X+3A9dZBwPYDvZT1HEm89kRRzPUzhaD2cgmU98pxbPXZ2SD2wpjc9Cr4qPUOeND1R1TU96ZA8PZmATT1m8jk9NWMbPbkMFT3OsRA9B4kZPXm/Ez2DXRU9s8EOPd12Dj37LBE99mkYPSvbFz32diQ9/dQePRD4GD1f2AE929jyPHxX5DyIy9k8QT6/PFR0tDxF66c86HC8PK3atzzAjac8dH6yPIuqtjwn56889VmnPLgtsDwEU7M8m1KrPI1KuDx+3a08BsOtPMOfvzw0/8Q8Y4izPCi9sDyP9Lw8cKPMPAUhyTxxo/A8LDfyPIIi4jzFS9I8nhvPPD1LzTwg38k8dozJPLRexjzk9NE8lfnYPOMbxjy/ZcM82q3HPET71jyJ39M8iezlPCtW2zxQ6uw8oUDxPM0n3Dz3Nc08tePhPOP53TyufM487V3MPOlMxzyDh8c8HvfWPOAk1Tz6acI85UPCPNAC2zzoVtY8xZHsPHof+zxUkus8bUrpPGjr6TyfHNo8eijWPNiFxjy1ac08s6vRPF6T2zzCBcs8WvW1PK0mszzhqbI8vP+3PACzxDy2mbI8eF6xPEKovjxdK8M8GprLPE5F1jz1lOY8tuoCPaZD8TxwN+k8t7TiPE5H0TxmU8g812vOPCTZ2Tz09tw8utjpPJj68zy8tvI8VFrxPH4NAj2SMAU9Z8kIPQip6DwEYOY85MjuPIXo0TxnY8888FXhPDqh4jwRRtg84+HWPPDa4zy4A+c8mfvtPFja9DwrawQ9FegFPWUZDD1WFA49D+oXPbbaBT17xAM9L0YDPebwAz1nZgQ9I98BPeYx+Dxw9uA8us/ZPB5K1zw1kdo8o1HJPJYmvzxoT988y20MPYNbET3naRY9wRgUPUmODD3Y9vo8wQvEPPptuzwE9bk8nDHMPGIMxzz9NrY8hACqPMkkpzxgpZ48BJSePM6MmDyOdZs8c3GpPLHMqTylvqY8Ph6rPETxrTyD7J08q4qbPOqGnDyv/Zk82nShPPTxpzwvKLw8twfAPHe/ujznbZk8YQeePMI1ojximK08lyesPCzWnTwIIpY8+n2bPLJNqDwuva8812WwPOfosTxzVK88viykPKr4ojwu/K4825CwPHHitTwuZr88kaO6PNFxqzwKt588QF2gPCEWpjxgSqc85BKlPHB1mzzGGZw8ltGcPNPMmzxzl5k8AP6ePPSNmjzZ8Zc8V9GRPKOlmDzNRqE86vmbPKecoDxeb7E84oyvPKb2njy0OqY8Bo7DPOwgwjz6/bs8AiatPCdoqDyWP6w80tSpPL2XqTy9Wqk8qsGlPEW5pDwq66g8Zy6mPJtbmTzA55488I+kPGdurDw8O688n2+3PNuAwjwO3MQ8/4/NPAEe1Tzpc948vL7ZPIlB2DzRacs8VYnAPBlAzzx6yNs8VJ3ZPEow2jybvNY8fGLLPMGJzDxbxdw8+tXmPFL+5zxBaew81xD3PO6v9zwi0PM8z2zpPHtp6DyR3PE8S+UAPQwHBT0gAQU9av4CPRYiAT2TKu08qkPqPCOG7zxUquY889rfPC5A4DyxQ+c8VI7wPKAW6jy/ct08F07nPBcS6jwSnfE8nm/8PEs7BD1sXAE9ckP3PIXY8jyFu+Q8I1/jPBHU6Tx+tes8ZTjcPKzu1zy7T8g8gzXDPHEAzDyUq8s8AdzAPH5YxjyAzss8QbHePGd68jxQyfs8UyH8PCTT9Ty3OOQ88XLQPFdU3Dzz7dg8RYTVPJUAzTy56c4872rdPOq7BD3BcQ496MALPdp8BD0eiwM9eMX4PINR9zwd6ew8YLntPCxJ7zzJUe88X/34PN4g+zxUWv88o/cAPabu/jzvUOg8VN7cPA0y9Dy0ZQ49hOAIPY9V+DyjMP48u+MKPYN4AT247v48CQf7POp87DxWFuU8kL7nPAHe8Txpl/M8U0z5PASt+TzyNP087Qv/PBon9jy8hvM8MrzZPOEVszyJV7U8Lau/PA6iyTzcn8g8fUO/PI6PsTxuoaI8IoCjPPkAqzxGdqY8FkKbPNCJlzxf8pY8dH+kPEHJtjyuibg800rEPDhE0DyG6NA8dCPKPNWOzjzgm8489r3PPA+Fzzxj7tE8l+GePKjRjDxaO3s89k1uPEU4kjw6sZw8uPaJPDAbhjzWSoE8uimaPIjB6T2MokI+3dREPnOUQz7OwEA+W689PibHND7Ebiw+EhkwPidrMj73Vjc+5dI6PiZCNT6WUSk+oNUpPoWFKz5ETSg+m2glPrWpQj4HLzE+TL08Ph/kNz4cfCw+bcY6PunmQz7rIjc+CQFPPno4UT6HTkA+CY8fPgwEPT4Tx0o+JwZLPrEjQD6FIRY+nbUEPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf8aPqTxh2rk8I68KPWOyCj2K+A099dJGPVd1Sz33hfs8IgkiPV+OGT2YTxw9w307PRZCRT2iXmg9lf5+PfLzgz045YQ9u0RpPdseXj1CokA9X71TPS7vej03GIE91OaKPfXviT2/R2Y95v5jPfYRZz1vIls9a0tSPUCwUD1D0lE9mJ1iPVjlcz3S+oU9krqDPRIzhD1pgYA9JfyNPS40jj3rZok9nJWHPeS0Zz0sEkc9S78xPeS4LT0KDyk9qTAmPeJ2Gz2Nfww9HUYBPdTt+DxyHfY8x9b4PDIwDD0YrQ098iwNPe19FT1R1hI92CsPPb8G/zyDAwE9IRz7PLSp5jzqEvo89H36PADg3Tzah8k863a8PIZzsTzLBaw8y3yqPBacpjw0c6Y8hDqcPBTCoDwEVJg8ZWecPP6goDw5sKM8DWyfPKphqTzTKaw8t9mmPILHmTzdr6M8ZJCwPByrqjyfZqk8TGyxPL1YtTxa1LY89jzHPN0TvjwWEb08wlTLPC5CzjwMpck8tqi3PIHnzjyHGdE8CE/FPLa40DwcVtA8DzLCPMtOyjz1Yc489erVPCkJzjzRwNw891frPPUv5TwebOE8PPnVPGBX1jx3f808PV7UPN6z2TxMJ948Y9HWPGDPvzzR6Lw8CAbYPMzb3TxS0N88y1zlPB9i9DxGHvw8LjTtPGr54zxTkL48mDPTPDPuzzzCZtA8OcHqPEUu6zxfhdQ8pWfPPBdtyDw8eMQ8wDXGPKqkyDzudNE8K2HKPArTzzz7Kt88w9H4PIEj/zyYUgM94vTrPO4V2jyNb+g8rC79PFrn+jwNHvI8vAv9PJi+9DyvtvA8/YHmPA6a4zwfN+w8JtPmPMpb5zzs8OU8oALkPNT+1jxUkNI8O7rqPKyZ2Tz6bss8RiTKPNpmyjzchtk8X/TYPDzk3zwuMe48pvXtPK924zwTJNU8v73dPIu7AD2GVAw9PgURPRo/CT0XUAU92fQBPejSBT0zcRM9x6wOPYZ55jwZEsc8TjvGPMoP1Dx298U8Q8GvPPNpujw8iM48JfLoPEX7/zx8t/08b4YHPXqJDj2BjAA9/NHZPNiMxzzE7MU8Fn7DPDkAujxy0LA8XeCnPEAnmzx2kZs8/EWpPKzoszwp/q08cYW1PBdpzzzA6s88/me+PJFxrjxlcLg8WaOyPDGEtDxAxrM8Wb6qPI/XpzxELaM8utWYPHP6kTzBwpA8IymZPLsaujxAf8A8QW3CPOXGtDwb8648K3qgPLIAmjzdz6c84ICyPOr9tDzHxq48DxGoPOfFmDzvEZQ8jm+WPHpfmjy14as8XwOiPPKumDxxPaI87WyfPB+RnjyAV6I8NAKlPFMapTyjFp88IJqcPBaGnDx86pg8A12WPObUmzz/TJQ8kDOePDKjnzxgB6Q8QCukPAj+mjydIZQ81smhPCGHpTwT9bA8euW7PMWFvzzGNqw8T2igPGxmnzwqVp88ZUSnPCe8pzzYlKY8spyoPHrysTyv+LU8xmStPDw/pzz+05w8Un+fPJkhszzDy7k8yUmuPCwEqzzVOrM8S9a2PJdpyTz/utM8pIrXPEDc1DzkQKw8bkSmPEAFmzzWT5c8PE2WPAoXnTzg0LU8gA22PMaSuTy/W9s8QnAAPQvD7DzbOO88i0vvPAwv8DzQFvM80iT3PFgw9TzWhQA9j8gCPfs2BD2C1QM9SVMEPfunAT3NKf886TLyPOfw8DyYne08RU3vPAtU+zz7fPg8qubsPP6/8jzcEd88De3IPLwe7DyfE/M8JW0FPR3IET2OAQg9SbbyPACM4zzyIts82k3FPArbyTwKHeY8PvX0PFpt9Ty9t+081FTaPPak0jyNc9A8I+bJPDRv3Dz9+do8j7jaPKSu4zwEKug8xe3dPIH/6DyYU+k822ntPHn+7jx+C+g81pThPHv/3zy04Ng8dSbXPJj43zwr7wM9KgsLPdc3Bj1tg+c875LaPDYL3TyvWtM8D2fRPBVu1jw2x90868nWPOQW5DwQFuY85ADYPATO3Dyhb+M8WV3pPOO1+jyS0gg92bQKPbysBz3avgM9qiQHPUkbDz0LLQ89v20JPbWmAz010+g8oLfhPNy12Dxae+Y8ZAnqPLPB9TxcFAs9qpQKPTLyAT1EDuU8VoTYPFQyyTzSps08UrrgPBUF4Tzkutk8cC/SPK9VuDxqKqg8ftOSPMGOeDy+NXY8aCZ9PHMxijzaZJU8QVymPAlWrzyfF7I817W3PKU8zjxEqt080UXcPLGPzjwUqMk8mq7NPJRp0zzU58s8HPa5PNG0fjxOw0M8N9dFPECweDzgaqQ8QVybPFErhjxmen08AHWFPBmMnDyhBlQ9D8kVPmblXD6HC2E+eeZTPg5MOj4jiEI+78k3PoIsLT4nvyw+35MuPm2pLD4q9DM+H/g4PilMOD7SITo+hUEuPlc0Kj4guC8+pWwlPhcbQj5lR0c+sgpTPvN1Qz7K6EA+h80rPoMmGD7GlRs+qbQoPn0TNz4jjzk++p1CPn60Mj58OTE+hUouPmjBLT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/aXlhPZVVHD0Z3Qo9h/cVPeOrUz1FBEg9G2hHPQBniD0h8os9WDhjPdyEQT2NBkU9JWdSPQFPSj1HpEc9wfFAPb93Sz28q2o9IjWLPdFUjj0TB409/oeLPaHGjT2bXIc9RGV/PdGgZD3xXGA9G9NWPU6tTT1t6EQ9V5YgPaS79jwM3fs8xv0OPS0ECz0zigs9VGn5PAdo6zxlLvE8JYb4PBsACD2WbBU93sgXPSJLHj1enBY9JPsJPRHN7Dy9c9o8h57jPK3/4Dy33sQ8kSfAPIplrzyuMas85Xy1PPeetTwYg648lLSlPIxlnjxse6U8iR2rPLIYrDyF26s8+vWrPODotTwZTsI85fWiPGpUoDyVx6M8YDilPGIxmzyqCac8N3rCPHlzwzyrIMg8s77HPEHywTzdHsQ8iBLCPDEQvjxejrc8J663PLE3wDybz9I8xnjTPM3RzDwrIsY8k1DOPN5+2zzoquY8QdHmPGzm4TzUHNo8hjfZPJ/G/jxzvAI9mO3/POoM6TzvUuM8jpzZPKF74DzBCe88deHrPHNm2jz5btI8fdbTPNviyjyEe9Q8r3rZPM354jwJwdk8kzjWPOrD4TzXS908d3rcPKon2zwRBtc80GPXPFnf3DyYP9o8qbTUPJTkyzyTks884kvaPCmT5DwVyOQ848DZPEFT2DxHXPQ8t5MGPRQo9jzEg/M8WcT1PJmj7Tz7a+Q8aqX0PIsSCT0SGgg9xIcAPS8Z8Tz7fes83UIAPZzQ9jwjl/Y8nwD3PG3/8zwe0e887xXgPCOM1DxuLdw8zp31PAQz7jz9d9o83L3YPFey5jyorOs8K6D1PLxG+Tz3n/M8Q8rhPP6I3zz9u9o86j3aPMgZ7DxRWvc8B+PpPLKa7TxoG/o8lHjmPMBvAT2+pww9J3nnPB/Z2Dy+abM8Mzi3PDoywzz66848aifRPPpO0jyz/tg8t/LgPJO19zwfqAQ9OP0TPe4BFD1mwg49r/MDPeJk5Tz+us08wMzDPJnNwjyAFL08afG1PFq1pDzgsZs8LxSmPHwpqTxAsLQ8G+vIPHsj2zxYx+g8SJzdPMOi1DyN0Lw8nMDOPMF30Dx6CL88MDC6PEgUrjznRrs82Aa9PEY4qjw2Dpo8VgiYPObslTzsj508KW6ePKt9mjxcrJQ8YQyWPBLYlTy2GYw8shmTPFfynjwzrq08dmaxPDQUuDzzQ608lIelPJDUnjz2fZg8ryuWPOAPlDxZYaM8Y+yzPAJ0qjyHiZo873KaPLZomTycMaA8wcCgPDB9mjxjZ5Y8XNeWPJ/6ljwZmo081aWJPCt8mjyoiJk8I8aRPKzClzy+XKU8TCyuPIr5yTx6lss8AwHIPDl5uDx2e648gymlPI8RmzyvI5s8TWWZPNfbkDxn56I8fou1PL31rzwzJLE8EDWzPOBlqTzFPZo8dYeWPJp0pjw7aa08npXIPIU5wjzn17c8kRDBPHIXuTxJqck8ecbXPLZv1TwMesU8KhPAPAv5uzwvR7A8eNSjPLqVqDy+2Lg8RfrEPKUJwzx2iNY87TXWPNel5zxJPuQ8qgHDPO3vxDxzRc88MJDoPA0r/zw9Pvs8ygv/PNcVAj1NiQc9ndkEPb0TBT3yEwk9wYUEPSA7BT0AGww9hK8IPUb1AT3eUP88jMLVPOaF1TxPrt08RezhPCO22jzd1OM8PUXiPCmN7jw4z/w8UofzPMYe4jzVgtw8R2vXPGZqzzwMEck8jebIPEA2wzwgPsM8jd/DPBvRwTzj/7o8yr/FPB5JzzzMCtM8EDbWPH4S3zybL+A8Y5XjPO+93TzyS+k88BXtPMDH9Dzawfc8wp7pPKQD3DyGbuk8Ld7lPKqH4Dz07Oo89x0IPSl6Az0/Feo8j63oPFJn3Tw8VM88l+fDPItGtzzi0bk82LrDPLpX0DwyN9s8cFTtPE5DAD3fnwY9UIoGPSEy/zxkzgA91qoAPesjAz0nLQM98esCPWIWCD0CWAw9K4oIPe5l+zzbyPI82PHbPIu61zx/AeU84lL6PBsP+jwrTf08lOgCPVOPAD3T0d48HeS4PIiytjwTLrU8+1q3PKljuDzeF7U86wamPA0QlzwEm5Q8JZiOPBEBhTzcomk8ZpGCPGqSiDyBQ488afuZPElfnzy2Tq88PSO4PG3GvDxpMMg8DYDKPGcX0TyxxdU8S3vPPP/syjww3sQ8t6bFPLEnrjwvBIQ8mk9iPFobZDw8+YA8jd+KPA9xgzwD4oM8ZwjUPHmBaD1bRhw+NI5XPq4vWD4hT10+Bs48Pq5vOT5o0CM+LAMbPmHaMz5HiTU+6Fg3PrMKNj6QjzA+jNg0PnMTNT4t7DQ+wLM7PqFjST5kNkQ+YBU7PlpbPT5pB0I+AeI/Pmy2Nz4+VjE+IdQ5PogNLz46pyk+fv4rPrW+QT6eHlE+cjNGPhATTD7kdzo+uFc8PiXwSj6OA1U+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9iCx89atM0PZlPUD1gQz89kTo8PSAtPT3hHUo9oWJuPBS1uDyYMjI9DHRIPd0RgD3pnHA97VBxPSleMD10Sy89SUo0PctFOj0MdiQ9PgYkPdcKIz08/xA9ee0OPZPQBz2nJ/o8oVv4PFV19zwMSOU83//lPDXP9jzAtwk9EaUGPZHj/jyW3wU9GuACPXN88jzzMO48vk37PDAr9Dzpkdo8UGTZPLXG3TzKa8884Y6+PCo9zTypeME8Mt66PBqxrzyroLw8IXG0PBsdnzxr8aQ8xAWoPJKDqTxu4Kg8vESxPKI1qTyajKo8nPCrPM1hmzwP2p88TsilPL0NtTxNe7c8SaO2PJbEtDzkCME8ryXAPKImsjxvmbM8PYW6PEnNuzwv8d08c9frPNo3zzyrVs48pQDNPJY/0Tz8jtA8OdPRPHqt3TylgeU8f//tPFbQ6Txlbfw8I7YJPfC2Bj0Z8fM8QWbUPIi8yjzR78E8FqbrPNx/+zy9avs8UDnQPIepsjzWzb08wgzHPAPPyDw5WNE8hB/QPNN80zw/Dt48bmTrPBjO7zyuQO48AefcPLEj2zx998Q8sCy5PBxWvTz9u9I8dJHrPO+H8zyTpOg84QcAPc1n/DwHdfI8M7T0PPsr6jxPvuI8DM7RPKgc0TwB89c8/VHdPLn/6jyCrAI9R+ACPey6AT2OhAI9ADH+PERrAz1sT/U8iMnyPA+17zzQK/Q8QYbqPGLs+jz9Tv884Ab5PCd65zxei+E8c1vbPGqn5jzoPe08bULmPFtHzzxsHsc8Wd/VPKsaBD0CMgc9jbgFPWjPAT2G3/o8OpjlPJOb0DyPI9w831roPBu7Bz3kZg89OC3+PLBT3DxH7sc8O47IPHYnyzxXMNA85G3pPGhK5zxb5eA8dRjiPEvz7Tw+ovI8XNb/PMvCDD3q1go9VJj4PC5v5zxfjME82SS7PCyTyjyfUMo8sPPNPIgYzDwN97I8rEC3PHLhzjwkBc48HQLKPEgx2zwjZeg8Wv/sPNQr6Dye1PE8oSf9PHzC2DxzVLc8R9OnPOMLmTwrHZU8U1WhPJ8qtTwPvaI8y1iIPEzogzxua4U8fzyQPJd+jzz965A8YMGePJ5roTxC8J48pk+SPFT/kzy1QaE8J4CkPPHGpzxiFbE8TjekPJyykTxQGZg8EeWVPOeikzwjLYo8at+OPEjJpDwIhJE830+BPHQ4gjx6VYY85+WHPH7ijDzqnY88CeeRPMRXkTxWm5I8vQ2cPBD/oDxS4pw8NAKiPPhJoDwMC6Y8Na+tPF37rzxFZ7g8Gx6zPE1PrjwD7qg8wManPEocmTxISos870+NPHJgjDyBFZY8oqekPFqGsDw9sKA8tNahPOPkpjy3a6g82CSqPGhNqTy2HaA85C6mPFGvxDyTntU8bmzUPBsWvzzw2bU8/Yu2PCE8vTyMIrs8HxmuPB39sjygJ7I8TbqyPJSuszyALrU8lDnCPAg5zTzKfNM8qmbYPMjb3jxj3to8O8bVPDAq2zyNhtk8gKPgPKcH+zykEQI9kxT9PEyRAT2jbQI9x0UFPYnRBD34XQU91tQFPdHB8zyuEew80MzvPNv/Aj0gJ/k8CnrvPH5c2TztlNw8bhXfPHZ64Tx7Oe881THjPP+TzzwUSNI8P9nLPMp4wjw0csQ8ZADKPNdCuTzVcbI8MU2sPIMVtzwRZMQ8GGXIPDsOzDx08sg88XHJPMvU1Tz4hNo8snraPL1z3TwiBdg8RUzkPIsh5Tw8D+88WtD4PA5C/TyTZgE9jOvxPIPs2zy3QeU83uTyPMB48jyzS/A8kwr2PPL8/zxkewQ9/CkAPXys+Dwg/eE8cL3iPLQ25TwP9cI8R/W9PArVvzwPXdM84Y/cPKXg2DzxtOo88fP8PI2EAD33KwM9gGMCPQtDAT155gM9HcMBPWwnAD3tAgI9Z2gGPVg0BT0HqA09uRUFPXh8+jwf9fs8h70DPaecBT1eWPk8tXX0PPAi9zzuU+08jRfEPLPvtDxeNaU86SSiPCofmTzebJI8GLuLPMDqeDxER3g8dhx8PCTefzwc+Hs86+dzPFkshDwQDJQ8nruSPH9YlTymt6I86SOzPDJcxTzRVsE8PgjHPNVFzDyD+8s8Oq/JPJHDvjyNEbg8JzuuPPPVqTwUgZs8MB6NPJP7gzy6WII8Cxx5PIplgTyvYK48NM18PYifuz0I7fg9Lts+PvxmRD4H0Tk+ef40Pm/uPD4hpTk+sakrPvvNKD7pOy4+7uErPj6gMD60mzE+KysvPnH8Mj78rTg+2t1DPm5tQD5QzUI+a3FFPjHvSj658D0+QyI1PmFQMT6QKis+Z3wfPm5BIz6u+Cc+704gPlW0Jj7zaj0+FuBNPtUIPj718jo+q3o9PtDsOj7Y3DU+8O80PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8YvW48uWD9PHHLAz0nQOA8WO3SPILFDj3dMz49ZkCGPLOVqjzjfqU8vqGnPHOdnDzx9rM8zuiiPCxzuDyPcME84a/fPFU25TwETs88PSrSPNJexTzgx7w8YdzDPAZ50TziIts8BdXPPBhVzDzrNMo853zfPAxzCT3Apeo8EOjMPIX7xTyskrg8lQHLPGcdwTwcVrI8v2PQPIg3yDzGkK88iZOqPKPGtjxPGbs8+XWxPAw8rTwYzqw8ELjAPIb4wzxb1MQ8wdjCPASowDx107U8Mj2/PE2hxDwI29I8tAzVPPt5zjwTsss8sBjQPB8k1zyDit08+FPiPHJ5+DwyY+08wZfdPNx33jzT4+c8rnzvPMoW+jzDpvA8UbXtPCxL5DwDWdQ8qY7PPC/7vjxKcMA8DWDOPKN41zwSQcU8+0/APNRiuTwo8rI8mxq4PGsFxDyNkrw8gx3OPH6r9jzYZwM9fv34PNPk8zygde08gM/cPAC93zyBKNw8gHTaPAR/0jyVUtQ8wTvfPFDn9DwcPe48YTfQPNJ+2zxKu+A8fvfqPDYh+Twj8PU8MYvePF/b0Ty8vdo8gY30PB1L+DzyPgA9TuYGPWY+DD0uaQc9QNYEPfxqCz0/hgU9a2P/PL3h/zwIrQE9fHMDPedaAj2ttwI9jL7mPJjo5zxkCd08tBrnPIy87zzLnuk8f3jtPCpq4zznRsg8Vl/MPOeR3jzScA097WEOPcSHCT1LC/Y8CkDePLet1jxvXd484/3kPAou7Tyu9wA9THD4PJfp5jypPtk8A77VPNoH2TzN0Nk83dDiPGbpAz2B+v88ksryPGoQ8TxJpNw89dHMPDi65zwRZeE8pY/PPJgMyDwfBb08gtWqPMJzozw1QqM8R4SkPLz4pTwQgqc8MZGiPHRpsTzkxLk88Z7HPAuI3TyTVNk8XZ/UPP4G4Dy2O/g8PMr5PGIX7TxMvs48BrmwPGmfnjxnXZY8XvmWPEMWojz8U6I8O2mSPMwuhDwhUYQ8E5uLPHvZoDw4oaE8DuGUPL7RlDzFuJs8+bWVPKX+kDxojZA8MsyJPB7ijTxfNJE8Wl6WPCZ/oTzNCKA8iLKlPCP5rDz5Pak8P+uhPBOnoTw6zqA8XNyUPBKeizw5T5A8a16UPPuoijzXtYU8vE6YPPA9oTwVNZ88Ph2dPLUnnjxsjaI8pGGlPHVfrzzNlq488gOwPAn0sTwjpKs8zZqqPB1CtDzxvbA8nMKsPBeoqDwAK5w8mo+SPHgmmzzqQKM8/6CvPERTsTx0Zqc8ajOpPDU6rDx0NKo8mLSsPJMatDwjA648xEG0PCpKvzzHEMU8mF+7PE7otjwY17Q8aWOxPFXWtDxTq7k8URezPAuqsTz9Ubc8K4WkPJdXpDzKo6I8ysakPGEvqTy+jso8n0LpPCED7DywZuw870XpPCl28Dxg1+o8WIXoPG2p8Tz5rQA99Dj+PHM35DwO+uQ80tbwPBrv+zyWHBI90zUbPSNiCj16JfA8jsXnPLhF4zxxWN88H8rgPLhQ7zzIKO486MT1PG/m+TyPa/48+Hz0PJbdxTxJaMQ805bEPGeaxzyGB8w8rPnGPI7PqjxDUqo8FA+wPIzOujwawsA8XerOPE2F4DxCBNs8Dw7TPDnMxzxZLM88pWPSPBs82Dwa6eg8TjvrPA9J+jyJPQE96of7PJeR7Tyrk/M8bBL3POX68jwonO48wo37PLzUAT2T3vw8or7wPL4u7Dz9y948dbzhPCK75DwqfOU8NjTjPEc26jxcn+s8SqHXPCEb2zx/M9U8R8DGPDgIzDwo9Ng8Fs/UPC+X5Ty16v48SU4NPQaLBj2T2wI9bpHyPOKj2Tx+sd48k1H4POcvCT1KUAQ9bzMCPSWG+DzDS/M8UML2PNNt+zz13Ac9HRYFPQr78DyvXOQ8GOa2PJGbmDz+Jok8e2V5PGfdgDwUHII8L0OAPL10ezzWZHE8uXZ4PKEFdjzktXQ85Ot8PMzleDzGsoU8zTmMPNL5jTxMPpQ8gBOaPLwDoTyJF7g8Et2xPKxztjzIGr08YIOsPPdgnjyPypA8ztiNPNLHkjxubJA8SB18PDfkgzyu2aE8FMjbPO6q8zxNmDw9A1q7PTdRMz76/zE+OZo1PtIiPD5hJzg+x3U1PiFbNT5ioDE+vUkyPsh8LT7quy8+GRZBPub9MT6q/DE+8ns3PkPvNj7xhzc+lw49PrELOj4bTjw+IHpDPizmSz72/EE+XNc1Pi/SLj4+xS4+YS8rPip3ID6fCTA+prJAPkpqID5E4CM+DXAsPlh/TT5Z6Ug+MastPkbQKj6tCxw+0cgVPuxlEj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3E8hzuinl08+kdwPO52izyXzHs8kRR3PJVdlzx+sgI8wC0fPLoAeTzSpH48iIdtPNpSiTx7fqc8WRGuPD9ksDzT18o81Nm3PHuTpjw29a48EzS4PKqQujzjOrk8Ac+mPGV9vDymkcU8QZ/BPEC4sTytG608WE+wPNLorjw83K48m664PMHWzzwJP9g8Vr3TPANUxDwKjMU8yTrHPLcwxTxNS8I8tn/NPJ4i4jwHouY8Ow/WPPCKzDzs0M48XPXZPFPI2jyU0+I82g7pPCN29jyJA/c8k4DlPLZq2zxu29w8/U3iPOn4+Dy3rek8HlXaPPDz4Dyprcw8/OfbPLFP4zxHKdw8UeLHPNQCyDwPvco8gZXDPFqtvzwfXMQ8T6nQPI2S2Dy8ovc8gSoDPTSg8jyyLeo8ctnkPBjr5zxi3eg8PevmPKYm6Dwoqv08gFgDPboOAz0SWQM901zxPBps2TyYP/I8pC/+PK4QBD3eFgU90zvyPKLV7Dye8v086m/2PNXr9TyclQU9Ia0DPdlPCT0O9Rk96fsYPbkrDz1eFQg95akKPQodDD2i1xI9LHkOPbtaAj0NfAA9xNH2PEGa4DxcmeA8OjPfPIl22jwLo9g8+9HcPCpCyzyQm8g8UZPVPHzT8Dy2Wf08KJwAPQot9DzO3+88CXHnPKOR4Dwpqug8vczrPF01+DwZlf0899n2PPKZAT0M8Pg8lEviPLZJ9DyUsv88neYAPRvN8Dz9UOY81pjRPDcH3TyVJ9o8c7jHPKjgsTzpjrc8gvS6PBYkvjzKpr88I360PKO1nDyvLJk8ANeUPL+MnTxBKJ88TouoPF74tjyU+Kw8z5WzPFAeuTzFEcA8JnTNPI/0zjwWB9c80dXcPHSzwDxdgK88JI65PHaEuTxYrq08sDWiPLenoDzl8Zo8YFqbPK9CozyG1po8bTCWPMWqmDyNmZc8ev6ZPA9xnjwsSZU8TPqOPNPKijyMPIs8WVmPPBqCgjw4EY08uRWXPIBTmTzTTqA8RmykPMP9oTx/Zrc8Ure9PNmjtjxUbKU8ITGZPO+dkjyYtI889jyLPLtKjjwP9ZA8lq2QPCevmjw+DZ48hIqkPMiNpTxkWKc8RoGlPNVxqDzuAJ083e+lPLzftDwWxrA83ymjPG5loTxwhK88cb+rPPVrojwS0qI8gn6mPH10pDzlb608UHmtPPYOrjy1Wqc8y1OePDnVrDzU07Y8zpG0PKRxsTwt3qk8cm2oPBCGtjw7QrQ8QVqkPDinkTxiIpU8SB2ePDxKpzybSKw874WyPCm8uzxXHLc8IaytPIymqzwokq481YivPCY1pjwuwLM84+7SPCmL1jwcKtg8vi7oPCWU9jxepPY8sGDzPMEg7zy5d/U8hBgBPRAyAT39aAA99hYCPf6SAj224wg9tzUNPae8AD3Vsuk8jSvnPDc46TwbffI8TwTuPDkL5zxrJPM8bUbxPG6q+TyxU/s8XiP8PHmz3jxSaME87xfEPA7rwjyD9sY8tl+8PL+TsjxAjbQ8Kp6vPMrBuDx1B8Q8NpPEPACIyTzVOdc8377VPCVx0TxVrM88hz/hPJSu3DzdT+Y8vZ7+PI+I/DzMJv48b3YHPevCDD2CkAE9a8f1PAqS9Dyb6OQ8H2PbPNZu9zwikf48LsYBPXcLAD0DwPs8Em/xPLjU6DyDteQ8/4roPHIj6zyJNek8FTLnPCZy4Tx2mNc8Tf7PPJZ/wDykg788PB7JPA8n4DzD8O48NV//PNEaCj0lJg89COz2PDsq2DxAEvk8pz76PDqEBj0wfxY9/usKPdT2/Ty8j/c8aiD2PF/G8jw0DOA812XsPBG55TyYM8A8eEGxPJ5QjjxZslQ8T25DPGWDRzyqtlQ8U1pMPNmwRzy41Us8C9lKPEX2XTwZi0s8v8BUPIEDbTwJ22c8H/7RPMEo/DyPYfI8t88LPYwOLT3e0Do9hdNwPZ3Gjz0FiZc9vSOgPZHmqT3aVLo9/0vdPZUw3z1NdtY9LMzZPUbJ5z1P8/I9DKUDPhiLCj6skQg+k5gYPvFELD7oazM+Jo8oPvY5Lj4LJi8+Xc0+PuomPz5/oCw+yLMdPtZZHT6uXCI+W9AoPlhSMT6Vyi4+szswPiSuNz6sxjo+uzo+PggiPD6BHjI+iKJCPrSzST7TokU+AwEuPvmGMD5aGSc+rksaPjL8GD4yEBw+8eAgPhlEIj7r0Bc+SAEUPtygGz65QR4+nBI+Pmj3Tz79EDs+S1UlPpsWGD5BGA4+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf43BQjwWs1o8+9KKPApuVDzg9Gk8f9SbPBmMpzxyN0Q8l/87PMb1azy06Fo8BHGCPBeTjTyf45Q8vSCLPAjLpTyJzLE8Ch+1PKYNtTwp5MA8pAnqPG6g5Dx5eck8ABTKPLzgyTyRBc48MQHcPGPZyzxOY888XxTaPCam1TzdfsQ8Q+HiPE0B+zzI0uE8ZtPuPKtYBT0YuAY97Wf9PEzu9Tx0fuw816vhPH9V1DzqseY8Oe/jPH+C2jwwHeM86U7jPL3r3jxxJ+Y8z/vZPOh73Dw46No8fHvXPGjy2TxDp+M8v9bkPCDQ3Dw7Gtw8eDHfPHPw6jz3LvI82ZblPFnI7zyxjO88WuDlPLF95zwnZ/48PAnyPMTr2Dy5Wd08F7PrPPLt9TyXfvA8OnMIPTNKDz1REg89vKoVPWkvCj0NCgA9JVYDPbn09jw0HQQ9g8YNPbCvBj0D2g09u9oQPdxEBj0cTgc9r8YNPUNxDT3x6/w8FEv2PBfy7TzOrO484lAAPdXgFj23DRk9EYIMPX+TBD0C7/E8pETsPHHb9Dw8OvI8Ql/4PDvf/TwIkAM9AHL/PP+YAz2bnfk8egP9PPe97jw1JNo8kcHePDwHAz1HOA49RqcJPccYAT1RA+A8dwXiPK0B5Tznves8DCzyPB/I5Dx5Nco8F0LVPLWjsTxCCqI8feGhPHi0nTyo8qU8MJ+7PLaDvjyTl688FBWsPErnozyzqaY8mDChPETZnjzfd5g8EaioPBfXuTzSYcs8VnS9PNVkwTx4i7k8n0iwPHLZoDxSdKQ8phqnPIRkrjzEOaQ86mSmPPYTrTzlUK08A1uoPIbpmzwNaZU85KuZPAE2nTzHS5s8ITeTPPAiljwW7Jo8ZbCZPM28mDyByp88NFSZPIfqlTzjB5g897ePPCdYgTyUN4E8U3OLPNhNkDx/n5Q8mbmfPFRRqjylDaM8vYKkPKuVqzxfdKo8QomdPD8TljyIPZA8J/iNPDAckTzkFpE8G8qOPG6Jjzx2xpI8hnCjPPNsqzxUJ6o8TsKiPDZ1oTwuNaI8QIalPJzNqTygG6w8srOiPG7GoDz14K08ypatPKlTqTypMqs8bZq0PIpHsTyq1bY8pTO1PKP+sjyXdK48doajPAn4nTxuO5o87pabPJyenzzrR6Q80TeaPP+lkTzziIk8wUCKPBBVjzw6SpI8qL6YPJChnjzPvJ88XzWnPO9cqDwSeKc841elPI07oTzb2bE8sQatPIsDrTwQ3L08flPbPLFF6TwxjuM8xdTcPBPy4DwPevs86zH6PBAV/TyAtwU9mGgKPXmfCD0N9Qs9pvYJPc1o/Dzivvk8E3n2PMOx4jy8sNM8LvDWPE935jxVyeE8Zg3nPBIu3zwCFsM8EOXCPDlW5Dz97+48H8XrPE9j7jy4LOo8713WPCCXvTxOxrg84We8PGOuvDxjKrk8ZHDJPH/hyTzJnsQ8S1rKPCNxzzyWQdc8uQnbPFSW0zxeUNg8JXXbPNZY6jyScfU85OH0PHJx7zyJ0ug8cuTmPE378Tw4pf48waT0PPP96TxFvec89BXaPC/b0DzP/+E8hsj5PIdJ9zz4J/E8j2D7PEE6/jwA4ek8S3LmPFNC4zyjVOY8txPlPCJg3jwr/dE8M+7EPDLntzyb/7o8YU/JPMl2zzwU3fI8ueYBPdMMBz198gk9lYUHPcEz+jxZ4gM9+tAMPQycED1v5BQ9ZPAPPYIyAD0tres8M7jfPIJs2zxrxL8849yOPN3XZTzSKWE8CFtBPHFJQjymlTk8QcEyPH24gTwoWLk8njgPPcBSPj3xE3M9ysStPc8Utj1h07w9Md7EPVtrzj3QSrI9bcaPPXnC+z1PDg8+JSAKPrRTDz6Xfxc+zUMbPnydGz7jXRE+i74LPn4bDD4c0RI+1fIePtvjKT5HtCA+PT8dPhfjIT64wC8+FMY4Plv8LD62Ox0+9YEkPgk5MD4uPC4+1FsoPmJRJD43GBs+ZSUiPuPiNT4sako+jedUPt1xLT56YyA+O4IoPllBMz7K7EM+MDIzPqAiJz4h+Tg+O847Ph6gNj55EDg+/FsnPjn1IT4L8iY+33MwPrfXLj7VAiQ+dv4qPoBvKj7TjiY+aWcZPu8cED7k2w4+lwL3PZsU8z2rswI+7cgbPioeGz5INxw+KgYqPtvGMT56Cy0+SfUoPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/LxFoO4adCDzHk4g8vfJ9PHkqQTyL0048imSIPND5wTyNQbs8x4SbPFGTkzzyH4s868qCPCSXrzzTRr48JSvNPMSb2TyP2d08nofUPOXW4zxFWv48vgLxPKgdAj1H2/M8xwDoPD567zxcetA8vLXUPHnr2zzSb+M8jtvcPGMf1DwxA+c81d/uPLmL6TygQO48lk/ePIiO5TyUYeQ8Zlr0PNtX+Dy2Xfs8w3bwPD8l4DywdtY8PgXQPIbnzTxj0NY8vLrmPO6h7DzBFe48WLj9PEf9BT3mgAI9UOcEPaHCBT2jQPw8IDsFPV4sCj0a5gs95i8RPaRUCz03qQM9cg4BPfEd8jwimfE8OabxPJGT/DzKk/08veoEPT4UDz0cTQk9C64QPR8rET1oxQc9rasKPSJuED09+Qo9BPTyPNga6DwU9ug8M+QAPTL8JT17VC49PIkHPUIR3TyAQMg8GfnPPISS4TyzZAM9MdUFPUHjAT196wM9LFYFPStxAj0vPvI85KvDPDSeuzxRF8A83KzKPEiZ4jz/z+k87n35PMuw4zyXMdk8ENHCPH6ouTzGI7s81ozEPLzLxzy5Pso8nAbKPOR9vzw4XKk8DwOwPD4ivDzLZbc8HUGxPHdBqjwrJ6Y8OEuiPLJPojxVKpw8EcSjPJXerDz42cc8fQzKPI2dyDwIhM88h2rSPKKYzDw87ME8LrKyPJA2rTz1ba08WxasPGAIqDwb6Zg8W6mPPCQDizwUEYM8di6CPCeqgTzNCY88hReJPAqtizyUmIo8kraIPId8ljxZGpg8npeRPKWomDx8upc8TY+ZPPP3mzyszpc8Y+GQPG18jjw7h448YvmWPB1HjzwzWY88Gr2SPBF7ljxy6JY8p8epPMv8pzzeeqM8dW2hPIXBmDwE4pc8xUGPPBuRhzxjl448tmWTPPU/lTzky5s8ZCGlPDO4rTwGLqc8mDWpPCa5oTwN+5g8X0GcPBkvnDx93J88bdSZPO4ckTwVCIQ8lCuPPGaEnDz305I8ZtGRPOLcjzxghJg8+gSZPCgimDzM6588aCuhPHwVojxHuZ48HKSaPGgylTzapJY8B/yWPOvpkjzfWoY8TCeIPPiyjzyOIJY891qaPGwHlzwywJA8pdecPGOQqTyypqY8LryiPJk5ozx92aY8uSe0PFditjzgkrU8giLBPKcD4DzvBvo8ywz7PBY47TxkBd489HfuPCrd+jzfh/c82CbzPMGo6zyPN+08cMHzPP9o7jwQS9k8j/LgPNzW4zym2+E8Re/sPCxY9Tx5W9Q8MgfPPHsw1zwQhd88KqHSPGG4yTxz+Ms8nafJPBXDwzxyqLg8sMqrPB5aqjyJzak8i7KqPLhNsTzqDrw8nljIPB6yyzxnKMg8zd/BPFY8wzzzIs084ArsPBb97Tx2mPA8xqcAPXkg/DwhP/U89q35PBqK9zyBke08forsPKqL6jz4KuA8QAvoPGFT2TwjYsY8hu28PJ8pvDzxqMM8L8XZPFXn3Dyk5tc8NXfbPDnv5jwgR/A8/TziPF0NzDzP2sw8l27PPNrJwzwlkLo8xmvJPJHcvDyApbc8ksi9PMpryTxCjtw8riv9PHZtCD3P1wk9jeoXPQGTID0t5As9AloMPb7nET0WcQo9Dk0DPZLQBD2sjPs8bC+3PN0lczxMVko8k2RHPKj4SjwOMD082CU3PDqmWTzbt5A89HL1PMyWjz0Osuw9Sg0JPt6+Jz7vkzc+rMUoPq3/FD66Uw4+IZAYPpanGD7TjBs+YxwgPsRdFD4PkRE+LowSPpEGDj7OXhQ+o7wTPo5YCT43rBI+KTEPPnviET6zmhc+fHgZPuVTJT6rHi8+3qotPvJcIz7NPCA+opw1Ps/GRD7YMDA+hj8cPqrXIj6ENik+A40lPm3AIj71Ri8+a7UoPjU+Ij7J/Cc+8cA1PpSuQD7CIkA+vg0+PoHJQT4ok0M+iNhHPhFVPD7Qbi0+ijw7Ps0pPz59CjE+Wc8tPjS1Mj7l1ik+N9caPlpuJj5QFCs+1zoePqMtKD44NUw+vtpkPvrxWT68iz8+RlkpPuQFOD4whg4+V4MFPq4NAT4T1wQ+PP8NPvnMGj7P9TM+kdE2PopJOT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/wuqcPNAFgTy92G485clRPJh/PTx3Y5w8pVv/O2PmiTwGVaU84860PHb7oDxpu8w8DNr+PHLK0jyTiNk81YLBPGd6rDyqy7c8XejRPFGJzDx0WMU89vHDPKrYxDyD4MI8+w79PPuUBj1JQgU9hJH3PINt3DwYyu08T3AMPXqyFj2YXhA91s8APSleAz0QVQE9rO3qPA/33zwQa+o8K1rrPO94/DysIQI9hnf7PPq4/zzZdQA9sPAHPd5hEj0wIxI9YGcgPYUPGj26Dg49IVH/PE197Dy/D/I8yHDhPCU+4jzXKe48HK0EPQMdCj0aWAE9QecLPeaLCz2kAgs9JroHPeJ1Bj29ORA9FwsVPclWCj11FPw8rGgGPff6Aj3BAAE9fFkEPfvJAj2eHQE9ann9PJPT9jzuJQI9qFwAPZqI+DyUh/M8a2MEPX4qCT0uHgs9EqYNPXNfCz0ZAAE9DdvcPOsHxDxFpbc8ZkfCPLtUyzyFI9M8n7/lPNh04DzaeLs8+FOvPO+/wDypmNE80OrFPJTVyjxhg8M8yXHEPHJExzxOAb48mqy1PG1XujyRFcY8XOfBPH/Muzyl26s8sNiiPEAApDz0HKk8kxSoPG7ttDwGAMg8IjDSPNFV0Dykec082t7MPOcm0DxGD8k8ZbmrPDaqrTwgu7s80hu8PEP+uzwJF6Q8deiPPNSRkzw4f5E8xz6PPCNqiDy5KpM8/uegPAQXnjxewJg8BquSPCL7pzwJfrY8XxCcPKGBkjw8YZM8g9+VPNxBozxKQ5082kSWPAM8mDws1JE8Za+IPOhzizxhMZc8lq2UPIUFlzync5w8SMKjPN55rzxZrrE8EpKiPG/bljyerZw869WXPDRTjDzKh508PcmcPIvjlzzYZp08enSePJMIqjwshag8E36kPMyHoDxgbZ88pk+jPIpFpTxWWaA8gzKUPH/OlDyoKps8cjuTPIgljjwpJ488XqOGPNgfhjyNYZE8prqdPEiLoTzdm6U8kNylPGayojw3dp48O66mPGGdlDypboc8GHF7PKAhgDylcIY8PpmLPKermjw4rZY8trSUPKJdmjyoz548/NKgPFxfmjzom6M8DyifPPmOnDxy7qg8x/KuPKk5uDzxMb48Gp7HPHhpzTwNHt88uyv1PGDU9zwJKO88mgfnPCY93zwdh+I8qwvmPGNI4zxTd+g80zLhPHGC6jxEh+s8cYndPG4n7jwOPfk8Lxz5POVxAz1GRP48/8TrPP+j4DzEC9s894jLPADUxDz+ea08g2WdPGHjnzxCXaQ8tbanPLfNrjxgX7M8dLKtPHv5pjyUpa48+QXCPJLvuzzULMU8PwDJPJhN0TxdUNI8BHHiPMWv7Dw5m/s89PEBPe8BBj0CFgI9LSkEPVlVAz1XBAQ9iIb6PHGW8DyTN/E8MmvwPKVn7TxXid48kMncPCjT1TxvX9U8TbHTPKXG2Dyafdo87KPXPDWr1jzhht08PQLhPE72yjyHu748XVTAPPiAtzywkqo8XZ6xPP8IwDy+Zrs89ui1PB1nwDzluc48dRzkPBin9TwSvAE9HfgQPaLlJT0tiyc9yfMQPbOkDD2iBwA9FXflPPEz1jxm65w8P+JXPMm4GDyNcTU88Vt8PDdrJz2gbc89SKAbPq2mNT7ySxo+AcgPPn78FT66vh8+cNYcPsQsFz5mgCc+RvUrPmYpID6X5BQ+10sXPmrAHD41Wh4+SS0fPqYvHT5xfRc+T/0VPkhQFD7emhQ+15caPvDcHT4vKRI+mpYZPlb3Gj6RfRg+qkYWPsYFGT5SVhk+tEchPoK7JD4yNh0+PVEdPknsKz7/cTY+tHoxPm3KJz79tB0+oQwePpGvIT6T3Sg+T1QqPjDsMj4icjY+82RJPj+OQz7E8D8+SSc2PhbINj5G4UA+fsBOPnTxST4NTlE+GaRKPu5JPj52FTE+TiwwPmsaMj5anTo+h+VCPksZPz7DJD0+bc4xPmzPGz5S8w8+VUlGPkaTfT4912c+Q7EiPlAj9z3bDgA+Xw0DPs1NBz5sbww+LCQJPu5wEj5juyU+lu4sPgfNNz6Q9zc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/SuWRPKqjmzw9bnw8HFqJPELWwzx8jcA8Ko+tPNPYrDyT1K08eTO3PE1MxjwH2dA8xIG5PAy0sTzbpM88VJjgPK24Bz0FYw89JgHlPDsRqzz7Xs08IY77PIr19jz/eOM8Y5LoPNCL8zzjfQI9bSoFPceT/zwdBgw9o9MSPYcUET2ajw89mP8CPSwbBD3NtwA9USX5PLMP6zxmGfI83CEJPeq3Dj0D0Ao9w/8HPYLcAz2IXwE9cCP7PJMaDT1o6BA9OiUOPWXIDz18Mg89SVsNPfCRAz2XhAM9b2IJPe9wET26MhA9uF0OPQJ9Dj2IhhE93ZsVPWCeGD3ZhhQ9BboYPUdcHj2Q9Rc99okXPWkTCT0dVQ49XeMLPTgNCz3jUwU9SkbsPHHkzjyactM8otvMPGEMxTysy848o3vVPOA30TypgsU8sZ6uPPn4pzwtEKk8YBSyPKMTwzz4E8A8avi7PJ2itDxi4708eWPSPAGs7jzCO9c8VYjHPDe5uTyPXa48LjeaPL5DnzzDv6s8sqKyPKhdrzxPB7k8hQG7PC8cyTzOu9k889jSPNo41DwE7788rsutPD1SmTz01JA8txOdPON0qTxAhME8QRavPPqujDzi7Is81AWNPAR0lzxguZg8iFmYPB1Blzyr2J887ZyePIcMnTw/q6U8OuejPI6voDzbwZk8UwCWPJx0mjxH0pw8C9qUPFn5gTwSqII84YOGPDxhiTyhr4w88eqKPDZejjwT/5E81SOdPOf0pjzOXaU8FleePDTInjxaEpQ8Na2PPEwijTz9kok8kCaPPJwEoDy//Kc8Ov2xPF4VszxYAK8850CnPATbpjxGyqQ8gBSlPA7uoTzSmJU80zaMPP3alDyAqKA8GBuePESLijyZ2Hs8QwKQPPPjlzxj9JI8SGSYPGqspzxR36A8oouWPLlZkjyy8pI8CdeSPHqokDwnmYs8mw6EPFAjdzxX0H48ESyQPKK2kTxDlo48E2OKPCJpizxIzYw8XNCKPLRGijwHLZc8/rulPISLrzyF4qo8Xki3PHmUuzyahMo81lLXPJ+P1DydctU87OnaPJbL6jzq8OQ86/PhPDIj6DxOW908+RTmPMPW7jxtZ+Q8/zPmPIqG5DyL7Nc8vwLUPOAV1Ty70Oo8me7vPFGS3jxfMNM8afW8PAaxozxCoaE8TkGfPLN8mTwEAJQ8+TqaPEhHojwTpKM8dXOoPMGJrzwK9q88fpOtPMEHsDz1sbI8yN2yPDS8wTwvYcQ8XBncPDy93jyGaOQ8ic3gPFPD5zwJ4vs8Pov/PJMDCz1r8Q89r2QHPeM7BD2BvAs9ip8OPU84AD2jCPI8ReL8PLL6AD1QFvY8dnvZPCiz1TwjoMU8lKjCPL6AwDxaCMg83ZnaPHbP2zwsztA8pra3POISpDzqUrY8pOy2PBDcwjwtXcU8eiu8PKA4uTz+o7g8tci7PAXbxTxMiME8Bam/PAv/zTxIf+g8jDH5PIhm9jwlWPA8yzToPA5i1zwBOxA9sUhgPergiD1MTI09nWOhPYftvz1zw6U9VXiKPYmdtT02dA4+S+AlPiRHID5vVRg+zQAYPsgLHj68JRk+pYgcPvmXKD42SSI+wfklPs0/Iz7q/CI+ELscPuB6Ij6kNyQ+zDUdPgvdID5NQRo+i7YSPp72FD4qGBc+oMwXPt68Fj7GqBg+NUwVPvY1Ij5soiI+E1odPhAPGD4TmQ4+4uwaPoUvMj4YIyo+JkQiPm3HJT6jdCs+Iu08PvMXNj7XezU+gCQ9PjbZOz7WTy8+cr8rPgMQLz4Ahjk+ScdAPh2xRT6u0kY+GlNGPsq5Sz55vEM+SYRFPtr1Tj4LGEA+LV5HPrxTRz73vE4+DypaPnoSVD7h7zg+xg4+PlWANT4KvRs+wPgYPthLHD4I2/g9wZ3qPX7AFD6tfCI+KkkiPhRCFD6aE/E9uKTpPfE6/j0DIg8+9t0PPivhDD7Pnxw+ziQhPpHmHD4yXxc+Ml8XPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/mZLM73X6vPDV3AD0/efQ8pozYPBBa3zx3SPA8BSmlPPuFvzwaCsY8wybBPKpr1TwrCfw8ZSsMPXrk7TxEfu48LVftPDlD5TyzIOw8X/vuPEohAD0L1QA9Gd8JPRMTCT1L+ws9ZHkSPX34FT09QCI9+HEePS/xKD0jqTY9RfMjPcc3Cz2mPg49NlUaPd7GFD1mMwA9b1MVPfA7ND3Exiw9DXkkPfv5Hj2HOh09NQwpPWXsIj2REBo9btUTPXd4DT3JCwA9ItgBPQryBD1Ncwc9EL4LPZ1PDD3SlPc850voPNI/6DxY0uc8/fnyPJNX6zyfKdY8xOPCPILaqjyjnq08kzavPGcdsjwr48k8ytO8PKvYwTxAdsk8RAbSPHO24Tx8wtI8yoW3PD/CnTxICJw8RpCiPHs0pTw03qc85GO/PJH70jzE1808dyvLPOugzDwZPtU8ntnaPFAwyjySxbo8RmWxPBzemTxAOF08bdFPPBEAZzzCy3o8MR6IPIgOijwQNoI8XwOBPCaahzzZN4U8TW2CPGL2jDxKDZY8tSCjPNvcoDyCRqU83USlPGKjozwWAaI8oriePOLmozznlaY8kI6rPFsMsDwDBKE8+LiIPCt1jDwpfJE8x8mPPMzFhTwbgY08eLahPAeGrjwH97I8pjSqPCwvqjxdqaU8KbiePH2ElTwmbpE8MwOgPE9+pTyWnLE8Ba6rPL+qrzyfrbk80ru1PGlVnjzpS5c8CCeSPOagkDwW3oo8NXeQPEvFjDxWsos8Fn+LPLaLjjx9RIc8ZB6JPFXzlTz0Ypc8AO2TPA3GkDy3vZ48I0iOPMhoiTwRZ4Q8glKAPOZTjTwHVY88mqGGPDXMhDy3VYA8wgh+PHJghjwLNZM8iCeOPJbVkjwQAo882niPPCqYmTwbeJs8KVSlPO45qzwhG6484PW0PBlu0TypM8k82EPQPFZf2DxJS9A8n3XbPKY+8Dz2mus8OxTjPKGo8DzDifY8f/zwPA1f4zy2/9g8LejhPPxu2jyEbMw8ydfAPKWdvDwH4b081QOyPNzynjwbQ5E8EKeMPDfcjzzM5ZA8whyQPKOCkTxntpY8k8mVPI9clTwvH5w8h0iuPBUfvDxcRrs81Wm0PO6hrDyWDKY875WvPLgDtTzM47c8p0zMPCKK4zz+w+08micDPWU6Bz1sUgI9qS8APUAjBj1xjgQ9FqkBPcHJAT2xIwU931IDPWNB9DwaLuo87q/jPLyM4jzuTtg8NtHTPGGNuDyXyZs8fmiMPOs1ijzjg5E8FFeePG5mqzxdV648qTmwPG5zrDyES6o8c7/HPN70vjyOatI87AToPLpHBT10ShU981HPPBms6zwyFQA9KWUJPZZvYT2j+qg9n8SrPfXSnj3FrY09a9uJPV27lT2rT9A98DYHPll8Hz4NujA+q7QtPp/zHD7qNx4+LWcePntjGz4oaTY+u1Y1PqkjJz69/h8+1E4ePq20IT5iryY+DqEfPsOOHT7mWx4+hHMkPrUcJz45lio+VPkqPr3BJT6Rjh0+A6odPoSVGT4yvxc+iGAZPs79Dz7b2BE+/S0ePg3VHT72Ihk+CuwWPiU5Fj6BMh0+TEUVPjmJFz46DBY+UoUVPncpGz5H7DA+M4QvPiVwKj5mQSg+yMEvPmSRMD6ukTg+eVs7PsgpOD4qnUQ+0mtFPqn8Mz6KiTY+y2Y0PhjnOj6rwTc+lwhKPspsST7hH0g+ZX47PgK9OD7ibEI+t31FPkYfMT7WyCs+TkMuPkO4MD6ThzI+uVBHPpxoUj4N5Sg+WDgTPiqFED4C9xY+1QshPkH+Bz7iFgw+cnMWPhzRET7Cpg0+tH4IPiEqBj4cHgo+0qgOPoAxDj4Sahg+flwdPsAEET4hRhg+wh8aPsIfGj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8ZhVI8SxK/PIPzyDz73Kw8N5bEPKVo2zxvDF08A520PDXL/TzDnAc9cZvsPKej6zww0gI9UbcBPXABID2vni49ZSMnPc8zID26cx49dp4YPXCjDz01DQ095/0WPUBUKz18cS89aWgsPeaoID05XxI9dScbPZCfMT1W9CI9ZLkePaKtIT2+zyE9+JIaPQItFj16RRg98jMXPePIFj0H+hY9iwwEPZ5J8jzE1N08UPrQPBiizjwAnsU8F7HAPKlhtjyXv7o86oa+PEHDwTzx5r88jM3RPO+YxDypYsY8fYS9PJETuTyopbg8qkW5PCNEoTz5jpM8mciRPOLbkzxSW5Y8Hmq1PBQY0jznKN48AWPPPDi6xzybxco8/mnVPHmA2DwH9Mk8OBq6PDBFpjxGj388j59mPEB2Vzxzfl88dEdoPP4YazzuvHI8kqWEPEA+hzyFSY08VEmTPK9kjDxx6408eJ6ZPChznzzANaI87OikPItqlzxHmIk8tfaQPJNHlDw6ZJ480d2hPH7qpDwnnpk8/3CXPKY8kTy9AZM8fdiSPFhTlTyLrZs8wnSlPBoQpDz/e688aCe2PB71rjwinLs8MousPOcomDxF1pA8dY+aPDFZpjybt6M89UioPMrJnzy/mpc8hVKpPPnurjxb3ZM8iHSMPD9Ehzza84E8+o13PCN8gTx36JI8FFKUPCEriTw5JoI8P5uEPP1QjDzHgo485TaPPGyhjjxwKoo8+LGKPGJyjDxz3pA8MP+HPM18fzz8N4M8QjR+PPk3fjzdx348GsSCPCOXhTx7u4o8hkSNPOutijzOOpM8l1yNPN9ziTwYDYk8EBiUPHqnpjyGnLw8KRTBPCTtvjxLd788GQ60PFxPzzzn0tE8UDXMPJNQ2Tw56+s8cGz0PO547zxGYOo80U7nPJM75TzX3sU8mLCwPIk3rzxXcJE8j6d9PD5MbjzqQXY87WOCPKK6gzytwn48lmZ+PHHKgzw/44k8JXyTPLYcnTxyeKI8GZuhPJSRnjyCZZk8HJGiPGJVsTxo+bs8t7i8PNsnujzsgbQ8NyutPF8GvjwxjMg88bvLPEGU1TxmUeU8HDnwPJkP/DyRiAE9kYEDPcz8/zxRHfo8jVcBPbEa+zyDJPI8foznPLCC7TwGk988hE3TPPRizTymHsY84kW7PB+qrjzd4os8kotpPPwiaDwPGHI8JsGWPL8orzxsNKM8uYmiPAwApjxGRak8Y1W3PDndyTxxbOY8edEnPf9vcj1Ec7w9DJT7PQ/f4z3jhOg9VwTrPZlD7z29+Ag+H90hPncfIz405xs+WSwiPiftJT4cciM+z+QdPvukHT7Y7yg+8wMpPsbSKT7+YiQ+cg4gPuApKT5IZCY+L1AqPvTFMT4zwi8+wF4lPtRmGz4csB8+gn8nPkNcJT4dpyA+6eIXPjuFHD4oDCo+sb0wPuJTKz70dyI+VSAePn2AHT7+nBc+08AVPthGHT62Gy0+WGo+PvufTj64pjY+WY0fPk5EFz7HtRg+88EjPq2nFD4jCwk+qk0MPh/rDz4OARU+jQIoPjcAKj48fDE+bV41PjQzMT5gpSc+xzgmPh00Jz6KMic+lRElPrm+MT5zLS4+ioMuPv60Kz4XQSs+2MhBPlyvPD7naDE+Kas+PkQxLj56FyE+FucXPicwGz5bTw8+57oWPjJjFz5XtRU+r5kUPtohLj4qdVw++Dk/PhYwJz6fFBo++/kbPuHkKj4qvyU+hJQbPs10Ez6J+g8+UgkMPgW4Dj4UiA8+izYWPjj5JD540S0+XrIkPmYFGD6fGhU+y9AXPgMzFz6I/Bc+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/zYEpPNqaajxiOOI8EFYJPWqn1zxTa+M86pcWPaI/7jxZB8Y8mwvRPO3nCj0h3OE8Ujz7PNoRHz2OMBQ99i4GPc/5CD2EJTU9b6UzPY0KMj0suB89cqMYPUyDGj39miA97BMfPbsUFD1/qA09mTwMPUES/jyKTdk8ZLfLPN4wyDwQw8c8pHXDPKz+ujyh7uo8F0zzPGs62jzE+9U86tfRPLCO0Txzdsw8nUfRPEZ2yTx7AsQ8SLu6PKqwqjxZbpk8M+icPG9zozznCKI8H7mgPGyPsTw2U8c8OQbUPHmSyDwLJL88zJLXPIzA7DzJw8c81GqrPIs9pzwdz6Y8LvmSPLTFgzxEq3M8fW1tPLoPaTwOf3E8SPaGPKf6ijy3MJE8+vaaPCNEnjwGipg8ZsWSPG5EkjwwJZg8LGWdPF+Zmzz33Yk8TkOCPNuAijxViIw8Zk2MPF66jjw+p448LuqZPB8clzyYlI88eKuOPPomjzyXOJQ8j3CdPFMWmDxHC4k840uJPKV0jzz15J883vawPHhArTy335g8GOqPPGx4jTwPvpg8xraePB+CkzzM5pM8c0CPPP7ClDwixJA8qXCLPAeEhjzXe4M8IlCBPJtjfzz2soU8wF2QPGWCkDx4moc8prp5PPv5fDzJP4Y8c5qEPJm/hDxsH4Q8CqqAPAcQkzw1jow8PL6KPEAHjjwa7YM8GXGAPHnYbzxEh2Y8/bpqPAk4bTyzjHE8HWRtPMcIezxlSHs82dSGPPNqjzzw4Y08iMiXPLNFpzyLvLQ8SyLFPA/P3jz5vuA8KiHFPFDRsDx7wck8FbniPGtL2DyJvNQ8kgPaPFkQ2zzN+dw8xnzCPH9FoDwLpZM8DbWOPGhbeDwqcm08gAtePLpFWjxG0188yJtwPJjdgTyun4c8g8eCPJS8fzySy4M8l4yWPHS9lzySjJo8xlWgPHCypDyQd6M8unWpPDRorTwozLc8iN+4POYjuTz+nbU8BEi1PGPNrDzgUL88N3TUPCaZ4DyVkOE8YqzqPLGK7DxYGvQ8aRoBPfoDBz19xA09N5wBPWUE7jxGBdI8hPfMPDrcvjyQPLs8TOe7PN+XsDxJBKo8u0mhPJGNjTwQOG08cdxOPADMVzzlfnY8sgSCPB6xjTwnYJ08VuukPMTfqjwTecA80QnLPEJr+zyHnDM9Mp2kPb77+j0kRBM+MGsbPp3jIj6SvCU+SdYdPkJbJj5xvic+AeYiPg4MIz7rUjA+YX0nPjObLj7m3zg+S+MwPuT6Kz7kNB8+xtYdPjuWHz4nyx8+04gePrpvFz48URg+a5wYPmdVHT5YAyg+ESE2PhwrIj40Mx0+kEIePgK8Jz5hBTU+OLIsPrNPJj7YKBk+HqsePvcmMD4eWTU+h60hPsSSFj4AdCI+MEMmPrttND7zIUI+0ApBPhlYPD7mRSQ+WT8SPjKqDT58bxI+OMkSPlgCDz53DQ8+DCYNPlq7Cz43AxA+22sVPnAjGj5EiCA+nb4kPnjcJT5u8SM+7XohPnKWIj5AWyA+xYcnPgvLKT67rig+B6ElPsQEJz6YvTk+gX1bPjxQgD5nPUg+hswOPm8oED5E9hI+xBUlPgwtHT5aUR8+yCIgPnkqET6qpxg+0LYePu1kID48uiE+D6FGPl0DPz6x0i0+Zq4oPoBxID7CDxY+84QGPgk3Fz6lOiA+a+EaPordEz5O6BI+eeYdPqhSJj4dni4+7PEzPrMbMj56tCM+5wwZPqJXEz55JxI+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/HwBxPB8AcTwrZqk8WTYLPdTH4jzuCwM9cI8ZPdBXHD2sTqE87Jv1PNsqCT0g6vg8QU4NPXJ4GD2N7gg9oSTQPKuLyzxYytQ85HHjPG8S6DzXCvY8ojcPPZ/3Fz0aZQM9BYK/PMdbrTyPDNE87tPaPJmy1jynjsw8LnmzPAAnrzxAg7U8+x2nPAmnoDz0CKI8QtugPDHZoDw7Abg8jr7JPM0uvjxEoLk8POG/PJo64Dy5KtQ8MeirPAsEpTxLFrU858C8PJ1NszzRi6E8/CuXPPCDiDyTMII8pzaDPBgPgDwNonw8Q2qKPH6YkzyLL5E81ZeFPLOvgDwen4E8ufiCPAM0ljxa05w8KjeZPCnVoDysgps8LSmaPMXkmzzFfZ88vFqfPFSdpDzYP6I8ybOgPEx8pzz/oKc8V2KcPH2opjxxx6Y81c2bPOxcmTwnL5k8i/SWPNZ8mjyTdKg8WrGhPMywoDzcDac8XaacPBoEmjyMTJo8ngyHPI5fezwHlnc8uphzPHJ9fjyvw4E8nBmKPOdmkDyP7oQ8BA6IPMAzjDyCd34843hvPFfyZzx7GGk8L7aDPASviDwbS4k8WtuCPIeCczxicnA8tfF5PJYudDx1/2w80f9sPHQucDxDrGI8+zlqPKkNgTwrh4A8y9SBPJz9gTyXGIo8Pz+MPHJUjjz5vZo8zQqhPD6spjx2p6w8m7W9PHSFzDxNack8jxDCPP6MuzyKUb48v/a4PBQ8wjyRlro8Dn6zPOqSoTyVtJU86tiRPBUQezyLQVg8/7FJPB2ESjyie0U8zuBXPJl6XTw5m1w8V4VjPO0HcjzCq3w8NriKPNiZlTyZrpc82lSYPDzknDwSyJk8d4CcPHD+tDzfccI8UZfBPB//rTzZSqk8HvenPCi/qjxiVq88U8uzPHDDvjxNks885p3BPB0dwDxTesg8sJnGPHDqwTzeUMg8COLdPDcc2jzTBNQ8j4jiPE/D1TyVD7k8JSKuPNq8pTxRkaA8KfuhPKw5ojw5EYc8bchXPDhQUDzmx0g8AIFHPIIIPTzXpVE8asZnPP1NcjzuAn08qJGNPISzkDw25Jc86twYPTpJWj09ptM9eFMrPrfDKT6FOR8+suMePjRCIz5tRRs+P7olPk3vKT5xqis+PaYzPpVLNT7+LjE+4q8sPutpKT75lyc+bpQvPisPMT7yniY+2QYjPlhNGT5txSI+rSIcPrABEj6lhSg+D84lPjGPHz7rmSE+5pwkPs/cKj7Ahio+xVsnPrc0JD4+/R4+Le4gPsaiIT7jkyA+BM8iPjDpKz4uDio+XPo1PqplND5lYxc+jaUTPj1EDz78Sxs+tLkiPpZoKT682hs+Zz4cPj1ZHT5RFRI+13IPPkzsCD4ENgc+KRwVPlsdGT6pAhE+H+kNPosqDj4eqyA+7UotPmy6MD5BGy4+5GYhPoDhID7CFCA+KqYbPtopHD58ACI+icsGPkK44z0NwxI+yvIiPtuWKz6XhDc+8y8XPgCOFj51YxY+ZPQFPqoCBT6b/gU+OCIcPvkWHj6E4xU+sfATPlhaFT5gfhM+MZETPgeVJj6suDc+R4MrPg6JIz5azxQ+EmYJPi638j0EPPs9TsIVPozXGj76tBE+3WcUPkivJD6V5ic+kU81Pi4sQD659js+z/M0PmrpJT7HcCM+xtskPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/li8ePEQx3TzC2Pk8H3TePJGBBz0V2hU9X+v9O9XCQzw7Rqk83JazPDXFwDyc89w8OdXlPCEn0jy1OOI8y8jYPPMPvDxfzrE8lQW4PP8dqTx8+KA8QTm8PMjusDyVqKg8GhSjPEUwrTwt1qw8PlGnPKrEuTzrE8E8SNLcPMBQ1jyfjcI8nSPBPNs1zzxgDNw8Ki7QPDKCtjwqDKc8oJ6SPMEjjDz9sYk8RZ+aPPlfkDznYo88ZW2YPDqMnDyh6ZU8b3mZPIyAjjyJOIM8OQqFPHEihjzV6YE8fjGBPCrwfTwRco489PeTPIg3kzwK2ZM82oWXPN0dmzwOPKw82VefPPlPlzy3JaQ8p5GvPHkbtzwELKQ8Mf6ZPLa8lzw1lJw8GR6UPKpqnDyFFK88mO+yPHjnqjwoSp08oYmWPGscnjzxD5w8+fGaPIdxhzxYLYU8O8+SPLfPjTz5vHY8r7hrPO0kVTyLRFg8AKRkPOUvZTzLsXg8meOAPAoWbjyyVlw8qkBtPBhCbTztrGE85YdfPI2Jajx6Qn88U8VsPMT6XDw3dls8GxVmPGAlaDwTBGA85RtmPPf9dDwWdHg8RfVkPLneZzzp+Xk827aJPOh/lDwNN5U8f1qTPAlPpTxCeaM8+LaqPLfhnTwfi5k8iO60PAycxDxbUbU8F6y5PGUIxzyCPsk81yO3PAe3lDzBtHA8bZRdPNj8VTyX7kY8O2dEPE5gOTyglS489usmPGmXIjxKIyg8Dbs3PJTpVDyC4WM8pzxuPFVhcjyVJW48sEB9PBh9jTyoe488CMOXPF1jnDwVvqI88X2ePKEuojx/P688uDyzPLSAsTwLcqg8B4ulPD1eqTxhy7Q8BUHAPDT4wjw2FsI8/S+qPJD6oTxBVaI8yzerPOf+rzyMJLQ8aT22PO4EzTxRStI8g2zQPOHc0jyqT7A839CPPOV+gDwwq1s8qdVMPCZmNzz1zSc8rlsmPKThGzxSoCc8A8ovPADcQDzVKVU8NnpgPOQTazx96Ho8nquAPIxXfzwy/Hk8ftl5PM65pzwmmNQ8s0JBPWm99j3K1yU+EJcpPlqyJD5Aeh4+b/4ZPpJUND6y3Rw+3bAWPjeWGz7jiiE+m741Pu4OLz5TKSk+d1ErPjA/Kj7K7Cw+eQwkPvMMKz4vxig+eLIjPmM4ID44Ghw+cEQxPsqyMj6zTSE+q1MdPtBtGD4WaBc+cG8oPhb4Jz7bNig+lDodPuIpHD5gKCM+9J8tPj24MD7JMRw+5+EfPlJSJz4vJjw+d3YkPkQqDj7cGxk+zaYiPrP2HT7upiY+JGwcPlGDHD5IIyI+CpAdPsOPGj7CYhA+NikOPpUMFj5j7A8+HVwUPsviGT6T1hs+uY8ZPhHtGj7JEB8+EVYdPrI3Gz4rjBs+gu0hPj/3Gz7QHhg+geUPPvw69z1YOeM9QMcEPkPDDj4hKQ8+CyUVPjbbLD55yBY+P4QTPpL7DT6DGwA+Ewb3PVc3Aj4liRU+WRoePuvuHz7frxI+Bj8QPq+SCz6EuQk+GLETPqHqFj6//R0+gwogPqtnPT4ozzs+pQIkPm2sHD6yMQ4+9P0DPstdBj54NQ0+MOMOPkKjIj5ILiw+9LwzPulkJz4LWiE+KXonPhsKKz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfzqloTygyJU8CtJqPADMlTyi/aE8bV+ePEZQnTzulKM8UaRiPBqMWzxv+HM8DVRxPOjPczyg3cU8icekPDdepTxxJME8PAXGPJmwwTzAdZY8AneDPKbLcTxBimk88hFoPFJriTx/5IY8zf+NPGcQqTwIjK48+dKhPKcwjTwqpo4815KQPNEmnDxOD6A85FyhPHqOmjzrkJU8pdiaPBaUkTxy0Yw82nSOPHLGmDwQSJ08glWjPDs2qDz+Hak8cxWjPJlimTwbAJs80JOcPBmooDy7+qI8SjqePH50lTypLps8I2yqPJrUrTzcLqo8Y9iePLNBmDyi2pQ8QNqQPOWajzwSIYQ8xviKPFTFijzdbnQ8zd1RPNfKSzzgxk48KsNSPK+aWjzNbVo8e7ZaPI2oXjzNSm480nhwPMjHbDwWvWc8XCxuPKECcTxSjWw8p714PGAfeDxAWG48scVsPLSJbDzHelw8BvhbPCURcjzBDnY8+gR4PIVDezzMC4g8CVuSPBRVmDwok5s8PUibPJ0vmjzRZZw8c/CTPO7LnTx26p481BGdPJfgxjwchL08S6eYPLm+lzyMOJk8w9CWPJYChzy1pF48K8ZSPPo/Pzz4Yio8y00mPB3eITx7VyI8vKAlPP55NDzdiTQ8bvUxPP4JTDwe6Go8NV55PBtwcjyg2Xg80HiGPPvIijwT7488Nt2VPCTEnjwqYqM8b32mPGPvoDzOSqA8Ol2kPKtTqjwm5Ks8tCygPLofozxuB5s8yWuMPKnViDxbFog80lWJPNVIjzyVW5c8fsyhPMG2pzzeNak8CKGrPJE3qjywOKI8fK+hPPWGojzDJaI8IAOMPPHCYjxlNj88cYt8PDAGnjxiliA8y6/GOyS0+jsSDhM8HQUkPOW6KzxiizI8b99BPE4DRzx0LV08gT1yPOEHczw9b188K4lePE4qUzyldW48fveCPPzDhDxi1+g8eYbdPbl1Iz6hxiY+yfsgPk0zHz7IBjY+zHQrPnN5Lj7lSCc+XCsiPibTFT6zZh8+XgUaPhdLFj7FWiU+QCMsPpVhOj4bByQ+298sPs8DJz7c9h4+kzAfPsDRFj7t2xw+s0onPizcJz582x4+5LAZPux8LD4Umy4+WrQiPmeRKz4h8SI+H2sePvkAKD6epCQ+cf0PPrWxET73MBs+JjwfPsVkLT5ukys+je0XPqBpGT6D5hk+VMgXPkEtED7mfg8+PscRPqwLHD7wuh4+8jEVPkmVDT7V5w8+WFIKPr7UGj7v3iQ+IE1LPpNGKz49ISE+u2UOPvPqBD6g4QU+lwEOPsvLDj5Rfwk+UqD/PdrD6D0SU+M9LOzzPer0/D2aaQ0+u0kAPi0v7D2BrhM+ySsRPgiqDT6/0w0+7K4BPpoAAD4XuhI+WOYSPvcfCT7BtAc+9MEGPuF9BT5qvg8+IDAcPuYdGT729RY+V58iPk4SKD7acjk+lzwsPoduBz59gAo+NgoMPjMaCz4vyhA+POcSPq4NIT73VB4+Ua4WPtKGFD7S1w4+x5AlPn7sOz7FqTw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyzEqTtxBxU8dcdpPEMTeDy9GaE8hwxEPCjqZTyh6NQ7tZryO+eHCzyD90c8ke9HPPzbfDwY1548nmZ+PO1VajwNF4I84B6ZPG3Imzz8QpY8vYOPPLoOjDz574U8iziWPDLVpzwdiaM8vJSrPEI8sTySx7Q8ov2rPBFJrzyZ8aQ8fJ2gPMgJljyZTJ88yMeiPOWsnjzj+aU86DmqPC4GwzyNFLo8rGykPOlKpTxRk5s8iMyWPEswgzxgtHo8YUB6PA1zgzxcDIY8lOqFPN9GgzxjP4E8d6R0PD0jXDym20g88LdDPHj4Qzxh8j88fxBCPKyGVDxrbF48DHJvPFAfdTzMamg8ztBnPAq5eDxMJ308O4mAPEasdDxkTX08DK6DPP+QcTw+pGc8RoxyPI6JfDxe4X88i/l/PHdshTzfyIc8Tg6OPML5lTx8WqI85cyiPN8ppjxBb6g88X6qPDrurjxlmLI86MOtPEefujz6HMQ8esWcPMMncTxgYlk828JNPN+zTzxs/008VVczPMM0Jzx5Eyo874kpPN/eJjydcCE8zTUhPH/TLTyURUI8DDxMPJXETDztJUw8YwBdPBySeDxeYn883siFPMu4iDxTSo884P2VPEEBlDybGJc8z+CcPKu4nzxWZpU8IjKMPMfPjzy54os8ww6KPD5sdzxKpXA8upV6PFvrezyMNHE8e/5rPMeNaDzlOHM8pcKAPLWbhjwCOoY868yEPAX4eTzY2Wo8Bi9ZPGFhlTwpFN88a7LwPMPQDz0610Q9U/OaPV5b5T1B2bM9Yc2JPVdY7jy/NxQ8jREWPNVOMjzmij48DmM/PEk+NTyDQj48Kqk3PAwcOzxlDz08psY2PC0NMTzmSSo8ytQuPNLHMzw4RDU8xg1bPGAF2TxkDpM9mdsAPo6lET5D0xE+04UiPm1/NT5wviY+KpkhPkxkFz4V/xI+uewcPtZJGz5YnBw+2igcPgUBGj4U7R4+cBIbPkMAHj4Woic+hUEkPrSEGT5KGwc+23ETPuSnIT6tESw+XZcrPkj/KD4gLB4+C/I5Pvu4Tz64+FQ+yVlTPvQHRz6xwDk+jRUzPtf6HT6VJRo+uSAbPqcIHj6cfCc+PylCPlBpMD4I9xI+FRwKPiA9Cj6WAxs+qKogPsAeED6FTQs+5loMPvtZCz6/vAY+naoMPsD1Dz6WWxo+wy8jPhhrPT499Rk+GoEUPnJBBz64tvw9az3+PVYQ/D2adv49rwD/PVNf/D2viAQ+g6UIPoUNCz6FNAQ+g54DPi8S+T3zrfk9i/L9Pd+bFz6YbxE+LC4NPhUmDj4Sbho+/2QcPjjVJj67By4+S2kuPsWhFz4oBA4+8Y83PnwFQT4o/Co+fwQePiciGT7DIxc+ocQhPiyTEz6WwQo+fq0JPpK0Dj5vzBE+1vExPjfrQj5nu0w+wUpLPtHFPT7ukzU+9BUWPpqJHj7uszg+/Ec9PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwxtfDuFXYk7/bE/PDI9fTyrk3086yB4POab2zvr8cU7nYElPMs2dTwYRn48CGt9POPInjwmHqI8XzyCPABZjDwKIKI8VRerPNi8ojyxop886SuZPOgMmjzhyJ48VHyZPGEkoDx1KbY8zMiyPJjJmDwtJ448h4KIPNzfhTzl8no8l659PFVthDxb94A8sf9+PNAHfjxxsmo8bOxrPK7gbDwsBlw8bp1LPF5rSDxdXUM80ItCPIkPVzxTQlw8ColTPJ5OUjx6olc8sKxkPFn2bjzls3I8uixzPDjedjyeTm4849hlPIOdeTyZDXM8MsBtPDbpbTwiznA8AbdyPMEzbzxHtH089n6BPLOJhTzG8JE82nyWPJGYpDymBaY8b0ikPLpAojyctp48d0uTPA17gjxdboI8ONuLPOQNdzz7EVw8ILRHPByyLTx/rC48St0uPO45ITzXWyA8qVYsPA5+KjyqjyI8amkkPHJwOzxoN0I8cDlCPBHNQjzwVUQ8VM1TPEIBYjyMIHA8IT2EPHVhjjwxkJA8WcyLPEldjDwY55E8doKUPNRohzz6ooI8ewtoPI3KUDwMEUI8W4ZBPOw+VTyXBFs8ve5pPHZFbDw5bGI8kMpRPLObRjxSxkU86LZcPPXDgjw3FM08ttsrPZKSRT2UdF897XGqPYot2z3gEgk+SJIKPuKZBz4igwk+4mcQPkoSHj5TICk+jg8ZPuF5Ej5+Cek94AOIPSdJ7zzEkJs8KjNJPLKdLjzPvhk8v9gRPKaJFDywGRs8cZEgPA1yHTx6jA889hsUPA+LHTx1/ig8NsEtPEFOQDwJ8kk84zlEPNJujDyctig9KXJPPQt0zz3uvAM+CBsZPnlwNT5MSyM+JoccPq28IT7MYDM+8xYuPj0jKj7uEhU+eXsPPu7/HD6Bsyo+UhEzPgJ6Hz6I0BI+eX0UPp7AGz5zjiQ+HvYgPv2+KD6iUEY+gatPPuZlOj5csVI+H0RIPuziPT71qTY+ViIiPk19KD7kLR0+g08VPqrWHT56USA+YtQUPhYnLz6JTTk+1YsYPi2ZDT7DoQ4+H5oSPh1sGT6dWh8+WqYjPkBKED5LPQk+l7oHPt4TCD6lwRY+D8gbPm8WGT445xM+4YYIPvpwAT6Pqv49ayv5PVcK+D26qv49jOP+PYN6Az6LIwo+dZIHPtSKBz6Rrvs9QT38PUdMCz6WyQw+x7EMPkpEDT7bMQ0+jMIKPldKFj4CgCU+5vssPgXlLj4/VDA+P/87PlOxPD6bqi4+c18pPpvaKT5MFTE+loAvPmSrJD78bBc+jJIOPlqmED5rkQ4+HgIPPqhJCD6tJAY+JcMIPqqBIT4F+Cc+AlIjPncRKj7GXEk+C35VPmq5Rj6WtBU+6wwqPtcNNT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/oNOrO7i52jtGx148l4qSPMpWkTx/dJE8r1iRPM8STTwQSxQ8P1p6PIESgjyclIQ8ZH+JPPh9lTwLEHU8VmJlPLWhbTyafHQ8KyB3PNHOfDziIWw8wjhUPLRuRDwElUQ8IdVCPCQ1QzzNH0w8P7BMPJloVzxWX1g8pYpRPEvCYDxFl2U8ChlhPPlcYDwrrWE8xv5tPEKjeDwQxYE8B5t/PKNifDy7nXk8zgVpPAcDXzw9i2c8fkR0PPEJbDw8CWs8UvpzPNJ4fTwsCoU80BOTPJpOmjy0x5c8WTaTPCjllzz60K48dnWvPLKaqzxvCZA8W8VlPBoTVDxFpUc8hnVDPNeHQzyLDzY86e4rPEvHKjxm6yw8h98rPNnKKjzZzyE84+UfPBqhHTxe8Ro8aBsrPLHDKjzm9Dw8z8U4PAEIOjxjKEg86i1lPD+lazz0unk8+tl0PPmXdTxkyog8P0+MPNI3fzw3YGg8ENBJPHtQQDx8YEQ8aVFFPKVrODyXV0k801RNPG/rPjzOIkc85h5LPFZ4XzxMG3Q8o7NzPOR9bzzHCaE8Ix+6PBoJMz20CY49crzUPd3SAT7Mews++iAOPv93Gz65YRw+2yggPk/dLz4lcCk+24AjPvEaJz76niY+nZMgPrK6CT6q5v49VrjIPe+mHz5WFhU+ObDVPZf6Uz16yhw90BmKPJ85CzyR0wM8nTz6O66LATzl5wM8aaQLPBomGTwXRxw8jskuPBUSRTzDJEg8OINHPJ/kTzwas2A8JT5tPGfbejzbI7I89eXWPHlHQj3EG+s9sWAPPoUHDz6dQyM+xGo9PsApNT6hMCw+DKIjPsRPIT6KmiA+MhIjPoZjMD6TPig+hasoPrrtLT78Lk4+O2M+PuNsIz6aRCE+spMqPnOyKT7CLR4+VvsNPlT6Fz7a2is+zPMiPnaBHz4lxB4+bs8fPlIpGD6eEBw+sBwfPp7HFj5FAwU+ikUVPiu7Iz4ltS8+2R8yPgFVIT7cyiI+9eQaPkPGHT44QBs+x8IaPubEFD7R8UU++YxGPiifLz5usxI+H3sLPsQv+j3gCfc90cH3PawCBz5kjgg+LIAHPiYoAD4kYPM9ZuP1PYJk9D3t+/g9Bj70PbMu9j1NWgE+ZRINPjhPFD7GOBU+JywWPiWpGD62BBU+roUTPoekHD7pnx8+vtwsPrGxMz6LTDM+iQ8kPtt2Fz6r0xU+ft8cPiaFIT7IlhE+QTEHPr8SDT7AHxA+FxETPqEFFz63GBI+aqEKPnJIBT5ryQU+yGwQPiiCIj7buCQ+AH46PmMrRD6csEA+N3YUPoyjGj6M0yA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/9tedO0GUCjy8sio8xDsVPN9YGjzYxz88FwY/PKJSKDxJ0gw8MPglPHIzLzyhzU08P99QPFnjUTzveGA8CtFdPBSzWTx4HUw8/DNXPOIfdjwjXXw8JOaDPKqZhTyCsoY8lb6KPP4xjDwAu4Y8ZpGFPCoKhjwye308RxF+PLb4ijz/6og83N2JPHJUkTzVnos8lL2VPNadpDykl7I8XmizPNBJqjwOMZQ8kjh1PL7rTTwVXWU8jRtjPLRMRTxptDI8vScyPHXDPjzERzw8dxA3PMlsKTytnik86qsnPF4gHDwPZBk8cncSPKjpDjy6VBQ8OBUcPANNIzzHuSY8rZ82PJNqQDztV0M8HMRGPBYVVzxXJFs8ETVkPAt5XjxO9F081rhMPLxbKTwpiSM81lgWPHgFDjzb5xA8wB8VPF4lQDxGyE0810VdPO8lrDxz2kM9KGGKPX8Skj1Kdtc9BekdPsmgIT58oxU+hQcaPpozHD6zXSI+JXUgPsaFIT5UNSc+r60fPs1gHj5JYSI+AZwhPq+MID5VgCA+1tMgPshjIT6cqyM+HE4gPlzOHD5CIhE+Acj7PRxb9j2y3wM+e8UjPvkVKD4M/x0+m0MWPodW6T3AhVU9FznMPOy9EzzT/ec7sfbjO/bv4zsvuwg8yrcWPGsqJjz5ojo82Yw9PKdbPzxIGj08mRA+PEDZVjyO0Vc896lWPIXBYDwtLHg839aHPGsOjDzOD8g8qBcEPVj2tT1Afws+wZkMPo1+Kz6WgVo+NAhUPk2XPD6J5BQ+dj8lPrA7Qj6o/kg+czVLPlaUKj6DOSY+qqQzPnWiNz5u4jQ+ujotPtz1LT4nXiw+GDUoPgxYJT5KAiQ+CGQgPvLNGj5REhw+C34XPjBUEj7c/xI+vncYPp0lEj60uxE+v2okPke6Nz6vBkA+F4skPvlpET6xzyo+Q+YzPmZdMj54+jk+sFRKPkCbNj7D6zQ+jWciPkeoHD5sswA+LqrxPf9/6z0rUes9rkT3PWx5+D16zO09H0nvPfb78D33Ce89f+PXPZ/91D0rlO09IbcJPp/3CT6SnwU+DqYQPsl8DD4gOwg+WvMUPu7uGj7+KRM+LKAQPpv1Hj4CVB4+5fIlPmUNLj6qpyc+3UwlPj9kDj6EahA+kgMJPpW3Az7aGQo+gWoNPuVsLT4KuyE+UikSPlpsDD5Tlw0+Q/4NPtGpDT536CA+x4kiPvcXFD66lwY+ak8FPpRSDj46nB4+bLApPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf9vGPjyX1To8lPBAPOjAVjw5kFM8jwhFPLqMWDxuLXU8zte+OxsYGTwciiY8ve5JPIW3SDxQ23c8/oCVPF6FZzwscGc8jHF2PMhPgjyOSnY8LX2DPKufhTw1r4U8hjaFPCtPnDxLSLY8N4rBPFzWujxeP4k84iNTPKlITDxzBEo8kQlJPKd6RjyBWzo8UfM3PNlSRTyrSlg8FNBAPPkVOzxexys8sWUoPHmaITwuex08BBwePMbhHDxQFB08cKMqPOTkLzzC3Cw8Q2cvPK4CLzzaDkM8BcxLPGTNQjw0vj08POdBPHG9YzyuRIM8TjixPBOs1jz0evc8+tUFPWQ0Pj1mGHU9o/mXPY9UoT3bjKk9zm2vPbe4zD2mhAI+lv5HPv/gST5ytSM+V1AkPnBRLj4ZFC8+cbQmPgQHIz46PB8+aSwhPpt2Gz7CnBY+mpITPqO7GD4Onx0+DKwzPjyEJz6qASE+IIcZPoU4Gj4Brxk+54EYPrUjJj45ByM+55oUPr7NGj6Qhx4+40goPsVMJT6w1Sg+YEErPiv8Lz40oiw+W+AbPl0tEz6Ol6s96ASqPFSbEjzdAA88fAgMPMKiCjzt9Bw8AGIuPDheMTzL/zc8eeNCPESjUTxGWWI87qFoPCNQaTyjEms8i05kPA1KejxXE488zjyQPL6WjjyJTJc8Gg/lPNB+Ej0+TjE9jRfFPR6CCz6We3g+4jfPPbifvz0VZhY+za87Pp3iOD7SLyM+8KYaPiRgDz5P8iA+EiwsPo0aLT7DRjA+5y9UPrFVMj6vCyQ+/McmPlM0MT47ohY+3NsWPtuXGz5Tqxg+E78XPhDpFT60IxM+NjcZPo2xGT6dMBg+rBgdPtWzOj7VwjU+13ciPmgbHT6C1Rk+zasWPuxDFD7+KCY+uLAoPiXhJD4ISho++7EUPlJlDD5FRQY+dXAAPu4wAz73uQQ+6AUFPuxyBT5pFQo+J2gHPrimAT49ewE+muYJPisPEj6LsRQ+JTYLPjPyDD6BDg0+kMgFPv0FDj6/DRs+3W0WPjcZDz6m9gw+SpUBPuQ6Dz5/ACM+IJowPvyQKD6OshE+z9UUPjdJGz6XhAk+2wYIPsjCCj6oKiI+ruwnPga8Fz7i1xQ+Z00fPiJnHz7w0xM+NmkqPp8IOD4jbBc+SQYLPus/Cz5bqBQ+vHQ+PuzAXz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/V7as79CzBOyoZJzzzq1s8RlRDPHPmWzwKAWA8+sgePMjRGjyyul88/kJlPEYWTDzOlVE8NccePHG6/jtcyw48kvcnPA56MDwlNTc8sMlBPGlXSzy0xzs8jPM5PIhPMzz87S48/JgePMhjHTx7AyU85mMpPHEcKDwGySU8aU4uPIdJTzyhrD084L1oPNCUNTy8QUI8BaZjPMCXdzx0Cqc84WPzPHEHYD0FtnA9IpaaPQDf5z1rows+PsAOPrXoET4z3x8+51UnPiDfMT59pTs+escwPilqMD7YADY+FiM0PuGYMD6RuUg+h3E1Ppn3MD7WfCQ+4MQbPpqfGz5kTCQ+OwUfPvK4Hj77Gxw+DkcXPrBOGj5Gtxk++rAfPqgEIz51FCI+9fsbPrM2Fj73pRc+fdYYPvkuHT5e0iQ+aPwgPolAIj694yM+FMYkPjyPJj5aySQ+jzslPuDBJT6jDCQ+nr8jPhSUJz7taS4+mvsXPme2wT3Y61s9KF0+PQP0zDykVmk8WtUqPACKHTwP5Rs8UMUiPK2FMjwlYjs8Ahg4POQYIzysSh08E8ccPPKlJjxgjTQ8kAVJPAADfDyr9oM8+4CPPNRGkTz/BZA8AdhrPO3ZdjzLw6Y8BFAcPWdAnTy2fWE8YE/MPF7+Yz2iJIE9No2wPerttD0KvrU9wbsAPpJjKj4X2Ck+MBUiPrb7KT7AKCk+xZwmPsfEKD56azA+iyYvPuNVJT6xViA+oecUPkt0Ez45jxc+vukXPvs3GT7t8BA+/GQJPvR4DD7FHio+lRQxPkBnFz5DExU+NvAUPrNoFj78OiM+Ta8vPsV+MD5MljU+udomPhoRIj7kyRY+A7cUPthEBz6KYg8+HQUgPsEvIj4UVCY+Hb4oPlwQJT4C3R8+3M4fPp6lKT4Lfys+vkwoPpGFGT6UqBE+6x8SPq3gGz5oIiI+Wn4oProvJj7tRho+meIYPmdhIz6ObEI+CTc5Pnn4Hz5Q7Q4+UUIPPhtcHj6eHSA+5+ITPndxIj46sjQ+qS08Pjh8Tz46NFE+RsI7PlCpKj5VDys+cUUwPo/ZLD704yo+OC4PPntREj4Ivxc+yT08Puv3fT71gZE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf75ekDr/k0A7RF/SOweZGTzcAf87ANAQPJlzHTw/h8k7xauuO/8M9TvK9h487GoEPAHCATxZ6BU89agFPIBuIDzOMkg8jY2EPOXi5jxdejM9xhtRPWRetj0BLOA9J6fePUXD9T2lFw4+vHASPlC2FT7Z1jw+tVA+PsMzNz5kby0+gUg1PuGrNz4vTSQ+IYslPpQKKj4jCzI+Sb8zPohsNT4sCjQ+jiE1PtTgMD79qRE+4XhTPvX4RT5JGzw+QgUmPvbBJT7jvCY+2GwcPs+AFj5yfxk+zrwfPjQ5Iz7GESM+YdkePskaKz6tYyg+Rc4dPhGGGz4j/Bs+/c0dPvvsHT4LsB0+hDoePoH1JT4l1yY+fEshPu3qHT4yMB4+u9QhPvmzIj6Jkh8+7K8YPsTtFj7OVBc+JzEePvlpIj7dvCA+xzwUPqxRDz6/6Pw9kIv+PXpLAT5OzPo9+zLOPb+5xT1gq5o98axaPaPOPT3Nur88p+ACPCW2BDyxaCY841xEPIBcVjxXbHQ81CSIPKCBkDwY5pk8uH2ZPPVVijwkNYA8OlJ6POeKcTxb42w8zUgqPLAp1zs1oWM8g4jSPLRfrT1HP7c9BRhUPc3XkT1cL+Y9ZSfsPYeC+z07jw0+VlghPkHHJz6lsDI+Ic81PtW3MT7t7SI+GK0gPnddDT7NFBg+AS4dPmXmIj55hBQ+xEEUPv+jNj6NYz4+enM7PpQNJD7DVxs+5uAdPpxRKD7lESk+9hYpPs5yMD4yRSg+NTMfPi8jIT6bmSE+DlQoPrvzMT4EdCA+wgQqPnMNNT4/CjQ+p5gsPvlcLT6kRUI+FBFAPk/hMT4Hei8+/oUrPqxaMD7k0iw+AywoPt1MJz7i9Sk+09QqPnXJMj6pODk+fK0tPhcSKz4M/i0+aUo/Pl5sND5ZOSU+2RwyPgnYMz4ZKDU+coAyPpTLJz7J4ko+u98+PumgPT5z1UA+6aQ1Pm+RJT6hXSU+78AyPjYRNT77+Sc+M5AsPgbfLT49YjA+OBo0PvTAQD582jc+y9EtPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwLYSTtidck7rRFKPJjb0TxjaiE9PDWSPY/ggz1aWaw9vBziPUNn6j1H1+o9HoUGPq6gKz7cx0E+G3UfPnwLJD6wxy8+M6IpPnR8ND67v0Y+8CsxPmp9Lj7YXio+vgMuPvW8OD4kITs+eu0hPmUiHT4dOBw+djQePuPpYz5wgk8+tksyPmoeLz4heSg+t/cpPqK6Ij6qahA+q7gYPk2VGj6oUSE+qccdPgl6Hz6HCSs+A5spPs/iJj57CCs+FD8rPtoeLz6j6S4+GlArPuX7IT6/9xw+ivwOPniYCT6uyBI+32oXPr39HD7o5hY+1JkWPnzmJD668xc+DNEWPusJFD62bhQ+M+cVPqLuGz6gZxo+pccXPn16ID4WuSo+vxARPsR3BT4VxAg+3ZMPPjU+Bj5clQ0+SAUYPlpEsD1X54494Iu/PMF7Xjz0R2M86keFPPJthTweS4E8fRB3PN+1djzfoGk8Imd5PFvpcDwEGHA8m55qPAVPMjzEqc47ugGEPMM3sj1rZwI+Q/QqPmW9ET4nid09affgPX6C2j1Dxs491Pr8PZcIAj652RE+HIIfPoosHj6W4Rc+JIgePnpuFT7HyBQ+OQIqPpn7KD5zESQ+r+4dPmXvJj7+ECQ+uH0vPsO8LD5fgyE+PFAiPql3LD5t5jw+ppNGPkgxSj6JB00+VwY5PmqsKz4Ftzg+om07PopXPT4f6jg+8kwyPodeNj7Npi4+6lIvPvyGOD44bDk+i9ssPnDYJj7oTio+VG4xPvlmRz5Sr0U+GU88Pr98Lj70vjU+q9U0PswOMj4zajU+WRs5PvXTLz66EjU+NKI0Ph5fND4VBC0+9k4nPi1+MD7URzE+9zIyPmtONj4RjCw+YuwqPrV+Hz7BFiA++IgqPjNcJz6v8R8+FPMnPpxsJj6W9SU+NlYgPsqfIT6qLC8+aUMrPkb/Oj4KCDs+J0swPkafIz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6Vwhj0CHKM9oQr6PWLN7j2VbwY+lUksPsu8Oz5pjS0+YBYVPgHfKD52+S8+VR0rPh6LFT5GgNs9oOPGPUOAHz5TNls+CUExPvWVHj7rFRw+1IgWPqAdDD5i3QU+HVYIPmmFFz55Whg+JeEaPjbIGD63wRw+IXcfPrLWKT56DSU+axobPmQkFz6XcBs+dUofPkIqID5vaSE+YZAbPlcMGT5qKiA+WEEmPt7hHz64UhE+0qsSPt+3HT6xRyM+lNYPPvIzFD4jFxw+OuwUPoYNEz5k2hI+ZR4PPnbvDD6Y2BE+12oYPieqFT5XRhE+6BwQPpf0Ez7M4A8+xtMIPjOaGz4YTCQ+TeoePn5tBz7OMus9JoW1PWnMfj2GoDY9dUR+PFDFaTxhDmE82Wh1PFtGiTwGuX885OV3PBVUXzzrwj08AxluPPwtnj32ERw+plQhPoLjLT6T/yg+5LEhPsOVJj6L6iM+daAPPmCaAT6e7AE+3iAWPoVPAD5EnAM+GhYMPvngBj6YBBU+rBcePgv7GT68Yh0+aRMrPp0dIj5HcR4+lUclPjKEHz4zxxw+TtcePqBlIT7uhyQ+XP06Pq62RD4YaUY+iHtJPmI0RT40jyo+ptk1Pr71Rz52kEw+Ryc5PuDEMz7DTCQ+UfI3PiY3Oz4iLT4+7gg4PlBBND4T5i4+I2ssPkqZLj7VVDM+HIMxPrHSLT5CQCk+CBw0PvHnLj6gfCM+WFUxPgYDND4tsS0+ogoyPoENND5vqzc+fUYyPuprLj7NzS4+8GosPokpMD6DOTY+bXcqPsg0Mz4g4Cc+n/AhPoY+Fj4VgS4+mFo+Pmx5Kj7Jxj0+CPNCPo1JRD6eSzg+ag8zPvc7Kz7WdjQ+a+86PokZQj4GZTA+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf4tSIz22Xq89JsrvPcjpoj258a09e0e8PX+0lj09RaA9byX6PUhS8j3i59A9GJXaPayH/z2TzhU+E0AcPmPnHT72Mic+Q8kjPjLHGj69pBc+600VPrXzGj7sVho+1iAVPoVZHj41hC0+ZFonPkhxKz7LVSU+gscRPqUuDD51jxM+A3UWPpx9Ez4LJRM+HX0RPitvET6w1B4+4ywgPkeGED4QCA4+pAYLPtzfDj6wYgw+iHwEPsjBIj5Feyg+z0MgPlrWFj7bMhI+ZnEVPkYzHz6zvRI+gomzPVGWOj0CCbw8UFVmPNFLaDx73Lo8I5yaPYZKIz7k3jk+G+AqPvdrJj6RChw+7SQjPq4/JT7nUCE+B44jPpM2JD77FyA+uMUVPnQlLD5VxAk+FQzhPSor9j1ciQ8+CiEjPt8uHj7N/hA+7ugXPvTaGT7uXiQ+FHMrPq2QKz44JyM+A2IiPi7SJD4klyw+b+UrPplNNT6jRTw+PoE4Ps4ZOT7FJj0+fzYkPvTIJz7vYys+oocqPjHcJD6gpyM+kso4PsAARD6NnTI+ZL4rPlNPIz7+uDs+YlBAPvrnOD6xyTY+a4U1PtsvPT7ZGkM+54c6PnncLz4XSy0+NwopPr89LT45KB8+OkwuPuWfLz7Owy4+6T0xPmc0PD5td04+w79MPhtEOz6szTo+1nM8PigaMT6MRyk+Au0xPtRpMz7K5zM+irI5Pv/UOT6hKzk+hA1bPiZmVz6VUTo+ZXstPsSjIj5swTQ+lvFXPqatUT4BOjM+sFYpPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+V0Cs8esctPUdn0T2pYLc9yO2JPc8YoT11neM9tsBHParksj35wgA+fDkRPq8NBD4IV/E9IucWPi302D0AeNI959zgPYBL8z2ArwA+g//+PdcxFj4G7BU+T28YPuqXGj7q/Rk+EMkUPgVdHj7UFys+10smPuSmID6H7BI+3w4RPv6jJD60+CM+H5klPqMmGT5DTQk+hq4MPtvKGj4mZxs+FsAaPsffHD6nEx4+9tMePpsFHT5vvxg+nFsWPmClET7mxhI+SFAHPsfAij2WzSY9ehacPWL8CT59aDU+CBlBPoADIj6n1SY+M+UpPmTtIz4Exx8+iesbPi+3NT6ywTQ+Be0zPsNeLj4e0iw+KtgZPk3ZCz4mjh4+7eFCPuxvQT75BS8+k1cSPmUJEz67Rhc+CoEnPh7FIj6D+xM+B6MEPuGM7j0+GPQ95a4HPvUcHT5OCjU+vJ4sPjjrLD46kC8+F4UqPoolLD5oQCE+BZEVPgFTKz5m5yM+TokbPo3fJz4Nqi4+7sspPncrJT7+yiY+ga88PiruOD5p1zU+So81PmpVJz4nNRE+/hExPnM4Sz5E3T0+oJZAPubIQD6aKDg+idIwPr1nOT6kuTY+hL8wPmPsJD6CDDk+XcFFPsDjQz7SvTM+JWgqPqEOHz4qPi4+/QMwPtrvKj7Ziik+lSYtPh+9UT7qBlc++e8zPmuSQz7DMzo+k7w2PrXqLT4xOSw+H984Pv8nPz5w5DQ+9SUpPvmrJz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+35FQ9iF6UPXQNoD2Mw749b5zJPfla0z3j0/09eTilPb26sT0gAcs9tVvkPVjA4T1iBhM+k7oTPmJLBD7G7fs95YzwPch63j1nTA4+4IYRPnAtDD7dBA8+T10KPrHTGT596iI+HGAiPkdVHz5SNBg+5/YOPhKRGD7vSBo+fCEiPm6CIz4bPyc+xOYvPiJTKT4xjfY91TixPXGXvD25js89+9HdPfQFDT7E2hY+BWYSPgnMGT6Lghk+NioZPtqiFz7rhSU+MgQoPvcMKT49FCQ+Lr0gPjFDHz40ajM+1p04PrLhPT6xsD0+DJ81Pn80Jj4hHyE+iqQePsLTIT6fKCs+4CIjPv5QIj5hah0+fK0PPhxL5j2lOOU9Lh0RPvcwJz4gqh0+PDsoPtfSSz7LE00+0yIyPkqGJj4FMCs+6pMtPinuHD680iU+rOVBPtWwWj5DilY+yCxGPiXcOz7SQzQ+JZwyPjbwMT7Z2SQ+TBEPPhK3HD4XhCc+Q2UbPlbEHD6+SyE+k1gmPkiZHT6sehU+YFQCPrOXET7KVxc+dKAuPq9cLz6/0yw+ZuY1PhaTMD54Syg+SCQuPvTZMD6CSjU+LYcvPuu7Lz6CWT0+zfBAPjL2KT7bXDI+XqtHPjkyRT5FMjo+Ma8yPs3VMD6g3DU+giEwPhn0MD6Lki8+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9xroE9fUumPRt2vD3qGY09JsXkPQBtBj5RyNo91KHlPW4v4T2FWhE+h8ImPnUYJz4O3yM+OQHcPQms4D1Us/I9q//qPY20Lz6BkTs+4f0qPo/XGD4jGxw+VZATPnicFj5vTBA++8ASPrafHj5omAs+2MIVPg9ALD4EFjQ+p2AtPi5bIz5vbDY+JwUqPg89ID7hwxo+j48OPtcgAT5J7RE+97I1PtqwOz6qeTE+z2E8PjoNMz4BpyM+EUg9PrOvLz6lPBs+PEolPjEMKT4VTic+ZS4ePg6b2z3FeyM9nMm4PaiXFz433y8+R2s4Pu/EOT4AUEI+/nxAPnR1Lz5Bbio+wTYiPkjrIz4viCk+HtMtPqO7Mz4jnS4+ddsrPk5gMj4RxUA+cB4/Prj6Mj6/eiY+ABEkPhzWJz5BTCs+0aM0PjssLz4zWiI+OcsdPmXIGT7vaxc+4UYdPt9MFT5zu/k9v0r9PWw2DD4kMxA+Z3INPrd7MD5QQEI+7d86PtkBKD6SaiE+qmcvPjZ0Kz5E3jE+9nQ+PhR5TD5g0jk+NOItPum2Nz6ucj0+vMJDPvSbKj6YpAY+o68SPovvGj7HxBY+54QNPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf6T3qzyGzDg9QBW6PXX74z0F2f89eFf6PdNBHT4/qLg9cn/FPR1mFD5rHTs+SRkfPk6a+D0pPAU+Ai/4PbUu/z24URk+j7ggPsT7GD66/hQ+RH0nPsp2LD53Iic+excfPpPPJj4uAyw+Pps4PjkWTz4gsCo+KmUZPsBBLD7wkDI+hK4iPqSjHD5zBtw9RFoQPTHTST1xf+o9xHBBPuZNSD5zBD8+joQ5PgOWPD7joj4+j5IzPjmLKz6xdzU+vOE7Pkz2MD6sAik+wowqPlnELD4UCDA+Kr0yPjDBLD5RZCU+k1stPrjIRD7blEM+yjomPgl1Hz5JTjE+hcg0PitSMT4sRiw+1ZQjPs7fJD4fXiQ+DXcmPmx6ID4Wmxw+aJUhPpgcCD7rPBY+BHIxPprrMD4j2S4+aYAqPgt0JT7OkDM+t2g8PtUQQD737Ds+JNMtPhE0Gz4K4RE+QrAVPhS8HD5v2hc+HVopPhQuLj4kDB4+MB0cPtMXGT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf16S5Txnj4U9ZZipPbxDxz0ZAsY9Y8vZPTbADz5bUcg9UqjUPcCPyT0/ddU9Cbv6PTw4Kj5SCyc+cYclPv00KT6pNR0+r34XPgWyIz64yhc+FdAIPqJ4ET5B3hM+9QYHPo+OKT56kic+Uk0qPgieMj6VdjQ+0yk1PgczUD4iYkk+LkE8PjGjLD42IyY+aa8mPsDHLT7BsDc+Jrc4PqoONz79cS4+snUyPtaVMj7zUjs+PU86PpvGKj7ouzQ+XqVCPqNHQz4LWD8+N/k7Pn6NOT4dziQ+JqoaPuk3Kj6T4yg+zhgnPm/mMj4cCTA+9hg0Ps6cRz4H60k+9URNPsKQRj7Ra0g+qsJKPjSWSD5bjEI+RA8zPuWQKT5P3EI+MA5APiT3JD5JwCU+o78nPmBrKz6FqTY+T7EsPv8xKD4O1CQ+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+GplM92gZvPVXyoT1nN5k927egPeTVuz3eSds9J8D4PX1TCj77Wxc+b0wwPh73WT7mNCE+pJ8dPh1sHz5KIx8+6twmPhsjET72ShU+dWIuPqfrNj6uekI+pgA1Pti3JD6gqzw+5l9RPgiTSj4QYzg+qfckPuqjLT7elyM+MscmPvxdLT5YMDI+BwUyPt54Lj7JeS8+TYM2Pmf1Mj637Cw+S8QaPkFyMz5MTzU+OiMtPu3cKj5vQSo+KOszPtkzHD6R3xU+p+AoPlmiMD6ISzg+QlA9PvvTKz5bZzE+LJcwPoMpMz6RHzA+S+ssPmRSNj5NiTA+xLc0PkJ0Nj728C0+hs1KPhcXRz6BuS8+y1UvPv7WJj6fmi8+oectPgOnOD4mPT8+Jj0/PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/C1NaPQCZlT0wVgc+5iQZPiKwSj5exGs+Yr4yPrFCLT7uBik+/8wePiNLGj787CI+fhw1PjPyOT4uCik+l6IxPusKKz7BwiI+FIsnPkyaOD42sTU+XHMnPj11LT49LS0+rwofPqoXND7RVi4+ziEpPt6vMD512ys+B3svPoUkPD60Mj0+J9I0PggIIz711yI+vM8wPoUWND56gCw+lE0mPv9EJz5OliU+rzgYPortDz79Ex8+0hE9Poi+Oj6HYzI+0EYoPsBjGz5MZB8+DWI1PsStNz6pazg++I87PoEAPD5FiDg+I7wuPpQrLD5b3DE+hRwwPo21Oj7UVEQ+RtE4PqA9Kj5GyyA+ykgxPspIMT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3+/gT3wZ6c9GwAZPt5VMj7SGk8+qB12Pv+Naj4xXTc+EcwjPghlKT5hxhg+kHIiPqVcPD6WLjg+L54aPjMIHj4SezY+f3EzPmw8LD6tAjc+bk03Png5Lz5SmSk+5XwkPv/yIz4w4Cs+mjYoPiYMIz6FCDg+uPw4PkhHKT4Dei8+lzAvPk2WKz6Y1h8+8XYPPnzKKT4PqD4+JRBEPvaySD466jo++PooPkUfND6r4ys+QxEpPh9WLj7cLDw+cNsyPhEQIj59gyE+IWYePmw+ID7jCyY+r9AxPlYgPD50ozk+YV40PkJ4Jj5+FBc+rfItPmRMPT6ZtDs+wldCPjfZLT4dfSA+pm8lPjCfKz4wnys+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH86NlI9xpCNPR28Dz5MiTA+N5o9PuqPPD6taWI++hNePmHMSz4lSU4+O+k4PmB0Cj4s8Q0+CHkUPhe6JT4WrBQ+uLoePsZ+Ij71Dw0+5G0SPkk7Gj711x4+toQXPgbhFT4c6yI+LRknPn+hKT6MnCs+D9MkPtzvHT7QPBE+250cPlG+KT7iTSQ+xMwjPsU5QT70F0g+PYk9Pl/HPj48/Do+xM0sPstiMj69IkE+KntHPp8SPD4jLzg+EZtFPtdOIj6cOiQ+rYgnPvWzJD7mKSQ+KzwnPgK0KD6bHDU+G8A8PnY3Sj61wSk+1c0iPq+3ND4qV0M+qFE1PhZzKT4P4hk+xTsuPvnzOz5aaEA+JZFWPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/vnYyPeTPiT041xU+EAowPkCaMj5y/Ck+bMA7Pqcmaz7HLVY+liBBPsbKWj7VNCA+r4YVPpsIHT6dOxU+ZZoLPjc3JD5RAxk+PZ8GPiyiAz7p3QQ+Hdf5PViN+D2MagA+1k8MPj/nGj7sOiY+ORwtPhzdKz52SCo+qyAZPuqmEz6uKDA+8b80PhM4Pz6a4mI+G1JFPqwDMz57uC4+dz0sPmp5KD7xkyU+JcMbPnNXJD4BXTI+vN5HPucBRD4PZik+KA4oPuPgKz6T5jA+LngwPujqOz5sJTI+uKEpPk6TJz5zEys+lfcmPiTDNT7Z6jQ+OlYrPjFBIT73yhk+pwAhPpFlJj4ev9s9+7SoPQAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH/eEho+Ud4hPlSHLj6h9zY+Ewc0PsCFHj4FWnU+K4NnPsyPNj4jCyw+04sxPmXrSj55k4A+3MQxPtcVGj5ANDU+xL0wPo/IDj4+xhE+DTsWPoMLEj7gUxk+TQ8GPlBYAT6BVhY+TjclPvUHJD4ifzE+cBIoPviYIT7UuCA+dvonPim9Uj698Xg+VD5fPooXMD5W8B4+kB0WPpg1IT5y9S8+CeIuPuiEKj5t0iI+C4kfPmx8KD7XPTA+ezg1PmyvMz6szTI+JtwtPmtoJD5/Bik+gYw+PmejPD4gXzQ+NDpLPliXRz5SlDU+eHQsPqeDKz5xeyo+jYAgPoe2Hj4+vSY+FOc6PkN4OT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/8qzzPc9jAz5wVhY+1ZwaPmkCLD4o4CA+VtlKPiklRD6PATU+LXEzPrfeMD7hrFo+2zyaPl+CWz4AlxU+waoNPlrsET7CWho+U2MIPgiz+j0zEvM9b7wKPnF6Dz4jIRw+bnw7Pg1VPT7tRjk+7gYwPitqHD590hU+JGcJPvzBOD5SL2s+NmJuPk8RWD59ezE+7rkaPsiTCT70SwA+wVsJPnM7ET6D/hM+cnEbPiu6Gz6xIhE+vDIMPsd4FT5q7Bo+re8mPn+4Kz4n/S4+nEw9PkseOT7jdyw+gmc3PoPjNj76HTE+xE0sPsvDOz64MCw+FLgpPjPYKD4SqyI++kszPoz9Nz7J5Ck+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3z9zj1n6+g98JMIPpT/CT6xdiY+Eec4PraFWD7syTg+ohEoPtpoKj6yXCY+CVosPlrSbT4GyG4+dwUhPmY9Cj59Qgg+U44JPuxsCT5lLwU+rML+PYQv8j1mz+M9xcIVPq/jHD5tsgY+JQ0FPnwH/j3jrOI99QzVPS8yLD7hhDo+7/4qPll0Oz4lM1k+ANRZPqvsWz5O5UQ+WY01PnPLID7VcB4+EkYJPrWkCT78aA0+misKPiVBDz4uWhE+1lUWPvaAGj58pRo+kfInPv72MT7UuVE+n3Y7PtgqQT7Dg0U+D60rPtNSLD46+TQ+wkY6PkBrND6j3is+P0ktPvlsOj4cLig+IEkVPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9Jp+U9WGoAPsDOED7zJQw+3WALPl/bIT7aiS0+Ca1HPqdhRj7uNSU+aG8lPoRxPz4MgHI+Zv+EPr7ENj7gSBQ+C9kkPqpfFj4qAvA9DrbiPdDA3T0JsNg9W3j4PWnoHD69nhM+MvwGPiRtAz4DQOo9Fx3ZPd1eHj4V01g+XSA3Pp5eGj7AGRA+puVnPhnbgj4vy2g+8+1dPg7VVz5rMy4+m68ZPtZJFD5+LBM+7IgZPiOSGz4nEyY+jqElPkM1Kj5m3Co+3CAmPv5gKj4YsiU+qakjPuv9Kj6Xaiw+qQ4sPu1lJj7ZBRU+GFcGPtJOJz4zcUk+fnZMPlOURj668TU+ZTwUPvlQGT4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/17jIPaGv7T3kFw8+InMGPjd4Az4wFQo+8qEZPn1cMj7eAz0+tkM4Pu8NPz7dxFE+j9RlPtCokj5f3V0+h00tPi/OJz7vfSU+0CUbPqf3HT6Dgyg+fx8sPvHCDD6R5gs+BvELPleJET5LUAk+BVgDPrxjDT58tlY+Rb95Ph12Lz6Iixg+h7YcPpBsPz5dC10+2bVYPvhrPj5F4DU+nVM7Pp2IMz4eBSw+5TQRPot0GT5oVh8+W70iPquZKz7fai0+1hIxPtODIz4o0Bc+lH4KPpi7Hz4GXi8+MEQ+PrbcSD5QlkM+tTojPsjsLD5XZEY+blFBPjIaMj61Gks+sSU6PmZ0Uj4W43w+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfybIpD3e79Q93UUWPpDvFj5MCBQ+RmwZPl2lIT7rUB8+XXwtPl9wOD5IwTo+io1ZPquBbT6jO20+ZBlDPob9JT5I7xU+yvkbPgCzGD6G/B0+KYAhPgVfJD58lAs+PGoVPkeWED7EgCg+zykvPtZYJz7dgxg+kNsTPryqHT6ltgo+Cy8dPuVwIj4MkD4++GJhPqQsQj7WizY+yII0Ph3aMz6JxTY+PO42PjqBFT6+tBE+FC8XPls6GD5z5w8+YV4YPrr7Ez5gsRA+0KEUPi0DMj7Jsjo+JLREPvniRj7X6E8+az9CPh1HOj7ykUA+2F5qPqI1mD5W7GE+4o1IPjOOTD5nhXY+eR6CPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf00q2z3Eeuw9Gq4KPmppLT4O90M+tB1GPhlEMD6KLTY+LG4rPh+NJT7VgCg+hLkrPhmaPD6Epig+jQpNPl0Ydj5qUS4+7vMaPo8hHj4qbRM+YBoYPoNBJT6hpzc+CcM3PvUKMj7LKhg+0eL4PZfO6z1IEOs9tSGuPU14tT1+XwY+UNIgPv3JMj7avDc+ldlNPqvWUD6t5Dw+dBY4PrO/Mz7UCzA+9b9CPimtMz56yhE+aykJPoWbDD6FCg8+qEsPPjaVHT7AbCc+LYU1PsM3PD5Waz4+UdEgPrOlGj710ko+bsh5PgILgD4exoo+kJVqPjSOkD5rxZk+vm1jPr/ISj6homE+O7NLPmESTz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfw2WFD3T8z49MAgIPlA5Lz7vJTc+zdVqPop6Yz6TJDI+fKgzPt6YIj7ouhs+BJ4WPnFIFD4AvyU+sdwvPuXmgz5iBFs+0YARPvVUDj6tKhQ+dXgSPlOPFj4Uhiw+oGFaPs69ZD6E/Vw+dF03PkbvIz7yIAk+PeD9PZw65j1OUf49+iEcPiJbFT4onR0+1rUfPrybLz7vPFk+gf5UPl9ANT7B5T4+AqVFPiz5OD5VLQ8+cH8HPss1GD6ewBw+6T4bPixZDz64MSc+kYQxPg1RLT4ATio+Ue0iPgYnRj4BXEA+yhZYPiCibT6WPW4+aBB0Pjnmmj6BGaM+3+VePv7XUD4DcFc+h5KGPrLvhD77riw+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf7rhIT76G/Q9akbxPd9bGj7ae0k+41NqPrQiXT7kITU+IVovPuimLT6cDjA+14gsPgphHT630xc+LMQZPoRCMT5nO4o++TlmPtYgGz4/IRY+PRMQPjZwGz5O8xw+g+AtPvXGVj6UUVo+iZYUPv895D3UfQo+YzX2PRfz2T1hids9WNX5PfSpGD5SXh8+fmIiPmOpLT5D9yw+QG0PPhTDLD6+ynM+It+DPt2Hgz5aMxQ+GZkBPq1wAj6Bows+MF4WPsaKGD6IQxc+X3cnPvvPLz69Lzc+cf81PgdTNT56XEc+BM9GPsblPj6tXSk+024pPmM0Lz4F5E0+eUJVPgEWTz5+7Es+EU5KPrAKST6o1D4+81E/PgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+Fqsk83QK5PbsZ1T3R6fk9evwkPgZebz7Y1HQ+BqspPg7cHD5yiBM+OWwYPgLWEz75tg8+Fb4aPob/Gz7Hah8+ElJ5PrV/kD4pITE+4DokPgziID7q5C8+q6smPpB+Kj4fgx0+ZoMWPt4+9T2vVeg9mYEYPvHVJT7y/hM+vfASPod9Gj6KLCQ+wqQoPqppKz7CDzY+z0k2Pm5MLj5xHkY+cs5PPmPdKz6VsBk+Gx8GPmgNAD7fE+890VgCPiCFFj4raRo+uNUNPmcmIT7oazo+NVk1Pi3oVj68/GU+MN5jPg4pbD5CzWQ+dOAuPo/hIT6ZYSM+nRRDPmGVRD5ogUk+gvg+Psh7PD5GZTY+NkMuPvT2Mj4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/CjaRPduNnT3dnKY9N4+dPX/y/j0VqC8+P9AnPhT/Fj699UU+YUU/PhUTGD4syBM+Y+QTPtfVGj6siBk+tMcYPvvMMD5nIDM+uO8qPr+/bj7DIZ4+TiREPoqFGz5mHyE+xJ83PoqNJz608Rc+8z0OPofL5D3o1849XefpPXY1Gz5tzCo+2J4ePqNNGz47YB4+BlkgPjKHLz5ryDA+3ZxCPr1WRz6sPUE+P0wUPk3x/z0R0Qc+dpoPPpb7Dz5Iqwo+4UoJPqPyFT54lRQ+UZ4XPgSvEj4IPxw+opoyPhQgSz5pZFw+UelgPlCSUT6ggUg+DEg/PjXiJz598hI+NsQSPiS8TT7PWjg+Wu8qPmDYFD4n6So+9iw0Pmv8Oz5hfyo+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfyCNzz2P0+U9VDc0PugIVT6vbiU+1dwvPu1jJD6ID/s9wHACPlLa+T1cJQ8+XTAVPk+ZFz5Z+Rk+VwQYPrMiDj6OgzY+tyBBPhlrTD6LYkU+/gVkPs2KQj5h+x4+pnAbPtAiFz7j4hU+KpcPPio3DD69H+o9RdngPa4wzD0IVNY9OB0VPtJGMj5YtB0+/RwePnxKLj5o0UA+Q14wPn9UHz4sEBw+RycPPmxcBj4LCwg+k7oOPhWRFj42ORk+1eIjPrzwJj6CgSQ+RtYfPumFHT6j9Bo+9WofPlT0bj7jpH4+4RlTPiwfRj6HMD8+yslkPqQ1KT6EWRA+vHUmPj1AJz4QUC8+A7hCPspHSj7xNh4+W5EJPqbDDj5tyy4+bhQuPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf3gf4j31KgA+R4AcPivZID4a8hs+Lf4SPlS5Bz60Qwg+B1YLPkynET5vnhQ+98n5PUThAj4FQQ0+H9YdPgRbED480A4+aa0BPkV2ED5WqRU+rUNOPqo84j6n3ag+iSEqPrH5GT779RE+BLkGPqef4z3KXNc9bjrlPcib+D1GKhY+NeDyPQU59z0Gnys+EZwYPpA2GT776x4+YkYePsWMID7OlCA+rDgbPuWOGT4qSxI+AEETPv4bFT5JRRU+rOwWPm5zLT6aJzY+jw8wPjqKMz4BPy0+uXo1PhQraz5WaYk+XPeMPi/1VD6Kyig+DOImPpKKKT5VQBg+w9cWPuRvKj6EzTg+YIo9PpSmUT7WpSc+BT4TPrOrLT5kIDI+ic8iPsq8Iz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH9aGxI9WhsSPfudHj1UcTA9jhs+PeOJWz333mA9h2l2PdGskz1UOKQ9ONesPSiTqj37yps9kRyUPRsYoD0i8NM9T27XPXci6D1xcPU9qOz7PXoxkT4dRAA/yQBsPnW9BT5zVgM+FmHzPdXs0T15++I9W4wEPoebBj6AUQQ+6S8EPt+//D2fCAo+LYomPj6cHT6KvyA+CME1PkZgPD6DejE+Mv4pPmISJT5XOSM+1cYZPmWrFT7FMBI+zI8YPgQAOD7LLDw+ZTg4PiUeMT5LejY+nI5BPnMqXj6RWaM+O7yDPsz+gD4H61I+N3F8Prn8gz5gO3w+KxUiPnOtAz7k0hs+PmVOPj77UD4yw0w+aMczPolbED7hahY+/7BSPgkKUz469E0+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/xFsQPMRbEDwl7ZQ7gK5KO6UNkjsOeu87Rg0MPDGePjzJvGQ8l6aRPDQunTwyjbw8XNzAPNxAsTyVwdk8vcQWPeWcHD3uiV49XyySPe0ylz2mA5w9/9R4PVY5PT3rtoA92AiMPUhiiz13YKg9h5rMPY7nzz3WTNg9qULiPY0W5z0WG/w9kfgJPuvnDj4xuhk+4VIZPirJEz4sCBg+fY8kPnP3Kz4EZBc+VSEUPpflCj7jLgY+An4DPsBACz6A4iA+3TIoPujkKD6O/jc+MplJPkQ0UD52q3k+gBKBPoqlQz6NnzQ+BP89Puqjbz5lAoU+nDqdPlh7Qj4epgk+VBsJPs3OCz7jfA8+dJ0ZPupGDj6w6QU+X2UaPu6DXD7CXGI+cM1qPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/VCWjxq7Fo8DxGWPJzZMzx/oDE8jVdoPGDCoTwOmYI8eP47PPVISjwbO1Q8UhmePA9P0DwWeN48de7MPGFDAD3upUI939hcPcgZdj1RSIw9zJivPZdNxj0kfss9htfhPQO64z3CG+49h2LZPRSU1D175sc9wLzNPbg/2D07at09W8gWPqF4HT7wsyI+ssAkPoXzPz7aH1M++iNuPgG+Xz6nWz8+LPIrPp3XIj7TMRo+WPQ6PrkMXz5RvWs+m1oaPtTHBz7gpgE+BOkAPns8/j3uEAE+aoYPPmO1Jz4PEDE+e8wwPrgtLz4AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf/HdQDq11DQ6tLqZOntlSDsJbWs75qqSO2BD9Tu9Ya07G7m5O/AsDzyXuXk8wxuPPCxtezxxaIU8snyZPI/3rjy8d8o8MfrvPEy+bD3QyHw9RGKSPU4Zmj0kjcc9L4fgPVawCD7S2Ak+OfYEPkqO3z12NLk9ru4EPr2tdD61PoI+SXNXPtMOCj5eogE+ziACPjyFAD7vWwE+CHYLPkBRGD7fYSg+4swqPidMLD6rBjE+AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH+aYwE6UX4TOppTIjpJIYM6XIM3O1CNYTsAgiA7HvBUO8weeTvkNLo7eF8KPFjibzxn5qA8yOquPD680TwFDts8AE3mPKyBET2CG0Y9G7ZCPeUZSj2A53I97jV7PYsohD0yjYo95rmMPYX9mD2XTag9b0jsPd9mDD4PlDw+gxpZPgAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/SLiPOgirjDr0dYQ6Lk1POoK2xjobbMI7rY/jOw7O8jsclh880clLPJRQhDpt9Po6o+XBO8Rawzu8wNI7jegyPBYQYzxzEDk8iQRMPG1aZzznCKc8EYyVPPpXsDwZwxo9qTdHPak3Rz0AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAf1lhuDnwt7c5pjwbPJ0wVDydMFQ8AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8AAMB/AADAfwAAwH8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     var Bokeh = get_bokeh(root)
     Bokeh.embed.embed_items_notebook(docs_json, render_items);
@@ -2098,7 +2180,7 @@ <h2>Rioxarray via the backend entrypoint<a class="headerlink" href="#rioxarray-v
   function get_bokeh(root) {
     if (root.Bokeh === undefined) {
       return null
-    } else if (root.Bokeh.version !== py_version && !is_dev) {
+    } else if (root.Bokeh.version !== py_version) {
       if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
 	return null
       }
@@ -2139,7 +2221,7 @@ <h2>Rioxarray via the backend entrypoint<a class="headerlink" href="#rioxarray-v
 </div>
 </section>
 <section id="cf-xarray-via-metadata-attributes">
-<h2>cf-xarray via metadata attributes<a class="headerlink" href="#cf-xarray-via-metadata-attributes" title="Permalink to this headline">#</a></h2>
+<h2>cf-xarray via metadata attributes<a class="headerlink" href="#cf-xarray-via-metadata-attributes" title="Permalink to this heading">#</a></h2>
 <p>Xarray objects can store <a class="reference external" href="https://docs.xarray.dev/en/stable/getting-started-guide/faq.html#what-is-your-approach-to-metadata">arbitrary metadata</a> in the form of a <code class="docutils literal notranslate"><span class="pre">dict</span></code> attached to each <code class="docutils literal notranslate"><span class="pre">DataArray</span></code> and <code class="docutils literal notranslate"><span class="pre">Dataset</span></code> object, accessible via the <code class="docutils literal notranslate"><span class="pre">.attrs</span></code> property.</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2515,7 +2597,7 @@ <h2>cf-xarray via metadata attributes<a class="headerlink" href="#cf-xarray-via-
 array(0)
 Attributes:
     life:     42
-    name:     Arthur Dent</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Hitchhiker'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-423cbb94-4835-4138-b2ef-0709d29520a7' class='xr-array-in' type='checkbox' checked><label for='section-423cbb94-4835-4138-b2ef-0709d29520a7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0</span></div><div class='xr-array-data'><pre>array(0)</pre></div></div></li><li class='xr-section-item'><input id='section-3b164813-e111-40ec-8fdb-4eab7ca1a8c7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3b164813-e111-40ec-8fdb-4eab7ca1a8c7' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-163dccdd-f7d3-4a8e-b022-5a5f56538fc7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-163dccdd-f7d3-4a8e-b022-5a5f56538fc7' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-e5a10bfd-a6af-4887-a8a1-679694f5becf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e5a10bfd-a6af-4887-a8a1-679694f5becf' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>life :</span></dt><dd>42</dd><dt><span>name :</span></dt><dd>Arthur Dent</dd></dl></div></li></ul></div></div></div></div>
+    name:     Arthur Dent</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'Hitchhiker'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a18a4d5a-687d-4d20-82e2-e1d0f7077200' class='xr-array-in' type='checkbox' checked><label for='section-a18a4d5a-687d-4d20-82e2-e1d0f7077200' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0</span></div><div class='xr-array-data'><pre>array(0)</pre></div></div></li><li class='xr-section-item'><input id='section-7096d6df-c04f-4ab9-b511-f45ef73c63ac' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7096d6df-c04f-4ab9-b511-f45ef73c63ac' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-265a62a2-8ea0-4107-b1d1-8df904b596bc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-265a62a2-8ea0-4107-b1d1-8df904b596bc' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-c7c58de1-35e6-43a5-a5e3-8938489540e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c7c58de1-35e6-43a5-a5e3-8938489540e1' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>life :</span></dt><dd>42</dd><dt><span>name :</span></dt><dd>Arthur Dent</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Normally xarray operations ignore this metadata, simply carting it around until you explicitly choose to use it. However sometimes we might want to write custom code which makes use of the metadata.</p>
 <p><a class="reference external" href="https://cf-xarray.readthedocs.io/">cf_xarray</a> is a project that tries to
@@ -2562,6 +2644,10 @@ <h2>cf-xarray via metadata attributes<a class="headerlink" href="#cf-xarray-via-
        Grid Mappings:   n/a
 </pre></div>
 </div>
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_4402/2553772647.py:2: DeprecationWarning: &#39;obj.cf.describe()&#39; will be removed in a future version. Use instead &#39;repr(obj.cf)&#39; or &#39;obj.cf&#39; in a Jupyter environment.
+  ds.air.cf.describe()
+</pre></div>
+</div>
 </div>
 </div>
 <p>The following <code class="docutils literal notranslate"><span class="pre">mean</span></code> operation will work with any dataset that has appropriate
@@ -2954,7 +3040,7 @@ <h2>cf-xarray via metadata attributes<a class="headerlink" href="#cf-xarray-via-
         280.48196]], dtype=float32)
 Coordinates:
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a9f7031b-b05a-49ab-9979-cbe51aa197a1' class='xr-array-in' type='checkbox' checked><label for='section-a9f7031b-b05a-49ab-9979-cbe51aa197a1' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>279.4 279.7 279.7 279.7 280.0 279.9 ... 278.3 278.9 279.4 280.0 280.5</span></div><div class='xr-array-data'><pre>array([[279.39798, 279.6664 , 279.66122, ..., 279.9508 , 280.31522,
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-86127b09-32de-4237-accd-80c7d85f008a' class='xr-array-in' type='checkbox' checked><label for='section-86127b09-32de-4237-accd-80c7d85f008a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>279.4 279.7 279.7 279.7 280.0 279.9 ... 278.3 278.9 279.4 280.0 280.5</span></div><div class='xr-array-data'><pre>array([[279.39798, 279.6664 , 279.66122, ..., 279.9508 , 280.31522,
         280.6624 ],
        [279.05722, 279.538  , 279.7296 , ..., 279.77563, 280.27002,
         280.79764],
@@ -2966,21 +3052,21 @@ <h2>cf-xarray via metadata attributes<a class="headerlink" href="#cf-xarray-via-
        [279.398  , 279.66602, 280.31796, ..., 279.766  , 280.34198,
         280.834  ],
        [279.27   , 279.354  , 279.88202, ..., 279.42596, 279.96997,
-        280.48196]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e5fbb619-0926-4c20-b8c6-1c9467f348c9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e5fbb619-0926-4c20-b8c6-1c9467f348c9' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-9fba0668-ddf7-4467-aab9-bc6a5682b0f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9fba0668-ddf7-4467-aab9-bc6a5682b0f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d44437f0-9af6-46e4-b0a6-b573511b3256' class='xr-var-data-in' type='checkbox'><label for='data-d44437f0-9af6-46e4-b0a6-b573511b3256' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+        280.48196]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-0b894724-9c76-4cb0-b585-065ed5a98a49' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0b894724-9c76-4cb0-b585-065ed5a98a49' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-cfd6c472-b5dd-4d1c-8613-17b014ecb35a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfd6c472-b5dd-4d1c-8613-17b014ecb35a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-904e98e8-5130-4bdc-952c-be85b8555f3c' class='xr-var-data-in' type='checkbox'><label for='data-904e98e8-5130-4bdc-952c-be85b8555f3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-8cf27fda-ceb6-475f-a167-3fe6d1e70eb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cf27fda-ceb6-475f-a167-3fe6d1e70eb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2553a93-c3f8-4f7f-959f-d9a87018dea6' class='xr-var-data-in' type='checkbox'><label for='data-c2553a93-c3f8-4f7f-959f-d9a87018dea6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-80efb9b8-ce86-4396-aed2-3ec9b56a8557' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80efb9b8-ce86-4396-aed2-3ec9b56a8557' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea472cd8-3b86-4cb6-9c1d-f0f519f2189a' class='xr-var-data-in' type='checkbox'><label for='data-ea472cd8-3b86-4cb6-9c1d-f0f519f2189a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9820d446-e3de-4de4-b157-1fac68c4ebc4' class='xr-section-summary-in' type='checkbox'  ><label for='section-9820d446-e3de-4de4-b157-1fac68c4ebc4' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8c34e2da-1c62-46c8-9e0f-b804ec2956a2' class='xr-index-data-in' type='checkbox'/><label for='index-8c34e2da-1c62-46c8-9e0f-b804ec2956a2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fcc72a20-8db1-400a-9049-57894ff004f7' class='xr-section-summary-in' type='checkbox'  ><label for='section-fcc72a20-8db1-400a-9049-57894ff004f7' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-95ff9141-8f54-431f-a5c4-08379a9b525e' class='xr-index-data-in' type='checkbox'/><label for='index-95ff9141-8f54-431f-a5c4-08379a9b525e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5fba54a2-2323-4bac-a142-79b3fd546f4e' class='xr-index-data-in' type='checkbox'/><label for='index-5fba54a2-2323-4bac-a142-79b3fd546f4e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b9c2f85e-229b-42f2-a8b7-008909f1fe8f' class='xr-index-data-in' type='checkbox'/><label for='index-b9c2f85e-229b-42f2-a8b7-008909f1fe8f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2991,7 +3077,7 @@ <h2>cf-xarray via metadata attributes<a class="headerlink" href="#cf-xarray-via-
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ce1142c-bf44-4738-a27f-88bc20f15ec6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7ce1142c-bf44-4738-a27f-88bc20f15ec6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6927d415-a6ba-487b-8265-9b61a1bbd1f6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6927d415-a6ba-487b-8265-9b61a1bbd1f6' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3393,7 +3479,7 @@ <h2>cf-xarray via metadata attributes<a class="headerlink" href="#cf-xarray-via-
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-eb9e493b-0e60-4fd4-a349-8b336107546d' class='xr-array-in' type='checkbox' checked><label for='section-eb9e493b-0e60-4fd4-a349-8b336107546d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.0 238.0 239.7 246.3 253.7 265.3 ... 291.4 293.6 295.2 296.8 298.9</span></div><div class='xr-array-data'><pre>array([[241.     , 238.     , 239.7    , ..., 292.     , 293.9    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4a4b1e9b-4594-4c48-b827-dff50f2bc0b5' class='xr-array-in' type='checkbox' checked><label for='section-4a4b1e9b-4594-4c48-b827-dff50f2bc0b5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.0 238.0 239.7 246.3 253.7 265.3 ... 291.4 293.6 295.2 296.8 298.9</span></div><div class='xr-array-data'><pre>array([[241.     , 238.     , 239.7    , ..., 292.     , 293.9    ,
         296.79   ],
        [240.     , 238.39   , 241.09999, ..., 292.6    , 294.1    ,
         296.69998],
@@ -3405,15 +3491,15 @@ <h2>cf-xarray via metadata attributes<a class="headerlink" href="#cf-xarray-via-
        [239.89   , 241.68999, 242.29   , ..., 295.09   , 296.88998,
         298.59   ],
        [239.59   , 241.48999, 240.79   , ..., 295.19   , 296.79   ,
-        298.88998]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-86c06a5c-acee-4111-bacd-9f434097c4f5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-86c06a5c-acee-4111-bacd-9f434097c4f5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-7dc7e430-eec7-48f6-bd91-e05f45730a86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7dc7e430-eec7-48f6-bd91-e05f45730a86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82e2a345-ccb6-4ba3-bc8b-59552328af6e' class='xr-var-data-in' type='checkbox'><label for='data-82e2a345-ccb6-4ba3-bc8b-59552328af6e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        298.88998]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b6319589-0bc4-4f62-baca-158f992388ab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b6319589-0bc4-4f62-baca-158f992388ab' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-cfd1a446-9200-4391-a6b0-c73069d1fcf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cfd1a446-9200-4391-a6b0-c73069d1fcf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2ebfe80-7b09-4fa1-bb29-dcaada642be5' class='xr-var-data-in' type='checkbox'><label for='data-c2ebfe80-7b09-4fa1-bb29-dcaada642be5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>242.5</div><input id='attrs-fb484062-1193-4f72-9263-8a094a68dea6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb484062-1193-4f72-9263-8a094a68dea6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c119d91c-31d9-4ad2-a4b5-fda057480033' class='xr-var-data-in' type='checkbox'><label for='data-c119d91c-31d9-4ad2-a4b5-fda057480033' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(242.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-0457dd5c-e91f-4a74-9aa4-10651b101eec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0457dd5c-e91f-4a74-9aa4-10651b101eec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f2d36ed-8f4d-4b2a-841a-6033f9d78b64' class='xr-var-data-in' type='checkbox'><label for='data-6f2d36ed-8f4d-4b2a-841a-6033f9d78b64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>242.5</div><input id='attrs-b3f8a0cc-7909-4509-a950-ff461a9c0fd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3f8a0cc-7909-4509-a950-ff461a9c0fd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9cc44ca-bada-4d31-8e5d-68ceea88bb29' class='xr-var-data-in' type='checkbox'><label for='data-c9cc44ca-bada-4d31-8e5d-68ceea88bb29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(242.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-58c6479b-5155-4c57-8d21-7f0dffb104a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58c6479b-5155-4c57-8d21-7f0dffb104a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78e97f8d-3adb-4d52-9002-5f15bc385991' class='xr-var-data-in' type='checkbox'><label for='data-78e97f8d-3adb-4d52-9002-5f15bc385991' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b501fa18-2c7c-4bd7-937a-aea6beb9b231' class='xr-section-summary-in' type='checkbox'  ><label for='section-b501fa18-2c7c-4bd7-937a-aea6beb9b231' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-82dafeba-1737-4c6b-a88f-0b1ac9d5d223' class='xr-index-data-in' type='checkbox'/><label for='index-82dafeba-1737-4c6b-a88f-0b1ac9d5d223' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5af8c67-a9f5-4ca3-8705-2c1fbf2a2d68' class='xr-section-summary-in' type='checkbox'  ><label for='section-f5af8c67-a9f5-4ca3-8705-2c1fbf2a2d68' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-227c0b9a-acbd-4148-8d7b-5814ed687a4f' class='xr-index-data-in' type='checkbox'/><label for='index-227c0b9a-acbd-4148-8d7b-5814ed687a4f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eb922753-ea11-46b6-a854-18d34d777752' class='xr-index-data-in' type='checkbox'/><label for='index-eb922753-ea11-46b6-a854-18d34d777752' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0944891b-aa3e-4de3-84bf-1a6519372be4' class='xr-index-data-in' type='checkbox'/><label for='index-0944891b-aa3e-4de3-84bf-1a6519372be4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3424,13 +3510,13 @@ <h2>cf-xarray via metadata attributes<a class="headerlink" href="#cf-xarray-via-
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-01211b37-d9a4-4459-8c75-f7f505fec5b2' class='xr-section-summary-in' type='checkbox'  ><label for='section-01211b37-d9a4-4459-8c75-f7f505fec5b2' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-acae961a-d9f2-4fe4-9ae0-ef1505a8be18' class='xr-section-summary-in' type='checkbox'  ><label for='section-acae961a-d9f2-4fe4-9ae0-ef1505a8be18' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="pint-via-duck-array-wrapping">
-<h2>Pint via duck array wrapping<a class="headerlink" href="#pint-via-duck-array-wrapping" title="Permalink to this headline">#</a></h2>
+<h2>Pint via duck array wrapping<a class="headerlink" href="#pint-via-duck-array-wrapping" title="Permalink to this heading">#</a></h2>
 <section id="why-use-pint">
-<h3>Why use pint<a class="headerlink" href="#why-use-pint" title="Permalink to this headline">#</a></h3>
+<h3>Why use pint<a class="headerlink" href="#why-use-pint" title="Permalink to this heading">#</a></h3>
 <p><a class="reference external" href="https://pint.readthedocs.io/en/stable/">Pint</a> defines physical units, allowing you to work with numpy-like arrays which track the units of your values through computations.</p>
 <p>Pint defines a numpy-like array class called <code class="docutils literal notranslate"><span class="pre">pint.Quantity</span></code>, which is made up of a numpy array and a <code class="docutils literal notranslate"><span class="pre">pint.Unit</span></code> instance.</p>
 <div class="cell docutils container">
@@ -3471,24 +3557,24 @@ <h3>Why use pint<a class="headerlink" href="#why-use-pint" title="Permalink to t
 <span class="n">Cell</span> <span class="n">In</span><span class="p">[</span><span class="mi">17</span><span class="p">],</span> <span class="n">line</span> <span class="mi">1</span>
 <span class="ne">----&gt; </span><span class="mi">1</span> <span class="n">d</span> <span class="o">+</span> <span class="n">t</span>
 
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/pint/facets/plain/quantity.py:829,</span> in <span class="ni">PlainQuantity.__add__</span><span class="nt">(self, other)</span>
-<span class="g g-Whitespace">    </span><span class="mi">826</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="p">):</span>
-<span class="g g-Whitespace">    </span><span class="mi">827</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">to_timedelta</span><span class="p">()</span> <span class="o">+</span> <span class="n">other</span>
-<span class="ne">--&gt; </span><span class="mi">829</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_add_sub</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="n">operator</span><span class="o">.</span><span class="n">add</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/pint/facets/plain/quantity.py:100,</span> in <span class="ni">check_implemented.&lt;locals&gt;.wrapped</span><span class="nt">(self, *args, **kwargs)</span>
-<span class="g g-Whitespace">     </span><span class="mi">98</span> <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span> <span class="ow">and</span> <span class="n">other</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)):</span>
-<span class="g g-Whitespace">     </span><span class="mi">99</span>     <span class="k">return</span> <span class="bp">NotImplemented</span>
-<span class="ne">--&gt; </span><span class="mi">100</span> <span class="k">return</span> <span class="n">f</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/pint/facets/plain/quantity.py:731,</span> in <span class="ni">PlainQuantity._add_sub</span><span class="nt">(self, other, op)</span>
-<span class="g g-Whitespace">    </span><span class="mi">728</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">(</span><span class="n">magnitude</span><span class="p">,</span> <span class="n">units</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">730</span> <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">dimensionality</span> <span class="o">==</span> <span class="n">other</span><span class="o">.</span><span class="n">dimensionality</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">731</span>     <span class="k">raise</span> <span class="n">DimensionalityError</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">732</span>         <span class="bp">self</span><span class="o">.</span><span class="n">_units</span><span class="p">,</span> <span class="n">other</span><span class="o">.</span><span class="n">_units</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">dimensionality</span><span class="p">,</span> <span class="n">other</span><span class="o">.</span><span class="n">dimensionality</span>
-<span class="g g-Whitespace">    </span><span class="mi">733</span>     <span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">735</span> <span class="c1"># Next we define some variables to make if-clauses more readable.</span>
-<span class="g g-Whitespace">    </span><span class="mi">736</span> <span class="n">self_non_mul_units</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_non_multiplicative_units</span><span class="p">()</span>
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/pint/facets/plain/quantity.py:841,</span> in <span class="ni">PlainQuantity.__add__</span><span class="nt">(self, other)</span>
+<span class="g g-Whitespace">    </span><span class="mi">838</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="n">datetime</span><span class="o">.</span><span class="n">datetime</span><span class="p">):</span>
+<span class="g g-Whitespace">    </span><span class="mi">839</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">to_timedelta</span><span class="p">()</span> <span class="o">+</span> <span class="n">other</span>
+<span class="ne">--&gt; </span><span class="mi">841</span> <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_add_sub</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="n">operator</span><span class="o">.</span><span class="n">add</span><span class="p">)</span>
+
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/pint/facets/plain/quantity.py:103,</span> in <span class="ni">check_implemented.&lt;locals&gt;.wrapped</span><span class="nt">(self, *args, **kwargs)</span>
+<span class="g g-Whitespace">    </span><span class="mi">101</span> <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="nb">list</span><span class="p">)</span> <span class="ow">and</span> <span class="n">other</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">other</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="p">)):</span>
+<span class="g g-Whitespace">    </span><span class="mi">102</span>     <span class="k">return</span> <span class="bp">NotImplemented</span>
+<span class="ne">--&gt; </span><span class="mi">103</span> <span class="k">return</span> <span class="n">f</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/pint/facets/plain/quantity.py:743,</span> in <span class="ni">PlainQuantity._add_sub</span><span class="nt">(self, other, op)</span>
+<span class="g g-Whitespace">    </span><span class="mi">740</span>     <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="p">(</span><span class="n">magnitude</span><span class="p">,</span> <span class="n">units</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">742</span> <span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">dimensionality</span> <span class="o">==</span> <span class="n">other</span><span class="o">.</span><span class="n">dimensionality</span><span class="p">:</span>
+<span class="ne">--&gt; </span><span class="mi">743</span>     <span class="k">raise</span> <span class="n">DimensionalityError</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">744</span>         <span class="bp">self</span><span class="o">.</span><span class="n">_units</span><span class="p">,</span> <span class="n">other</span><span class="o">.</span><span class="n">_units</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">dimensionality</span><span class="p">,</span> <span class="n">other</span><span class="o">.</span><span class="n">dimensionality</span>
+<span class="g g-Whitespace">    </span><span class="mi">745</span>     <span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">747</span> <span class="c1"># Next we define some variables to make if-clauses more readable.</span>
+<span class="g g-Whitespace">    </span><span class="mi">748</span> <span class="n">self_non_mul_units</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_non_multiplicative_units</span><span class="p">()</span>
 
 <span class="ne">DimensionalityError</span>: Cannot convert from &#39;meter&#39; ([length]) to &#39;second&#39; ([time])
 </pre></div>
@@ -3497,7 +3583,7 @@ <h3>Why use pint<a class="headerlink" href="#why-use-pint" title="Permalink to t
 </div>
 </section>
 <section id="pint-inside-xarray-objects">
-<h3>pint inside xarray objects<a class="headerlink" href="#pint-inside-xarray-objects" title="Permalink to this headline">#</a></h3>
+<h3>pint inside xarray objects<a class="headerlink" href="#pint-inside-xarray-objects" title="Permalink to this heading">#</a></h3>
 <p>We have already seen that xarray can wrap numpy arrays or dask arrays, but in fact xarray can wrap any type of array that behaves similarly to a numpy array.
 Using this feature we can store a <code class="docutils literal notranslate"><span class="pre">pint.Quantity</span></code> array inside an xarray DataArray</p>
 <div class="cell docutils container">
@@ -3872,13 +3958,13 @@ <h3>pint inside xarray objects<a class="headerlink" href="#pint-inside-xarray-ob
   fill: currentColor;
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray ()&gt;
-&lt;Quantity(10, &#x27;meter&#x27;)&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5cdb625a-ca7c-42ff-ac0b-f5b5c4aa5eb7' class='xr-array-in' type='checkbox' checked><label for='section-5cdb625a-ca7c-42ff-ac0b-f5b5c4aa5eb7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>&lt;Quantity(10, &#x27;meter&#x27;)&gt;</span></div><div class='xr-array-data'>10 meter</div></div></li><li class='xr-section-item'><input id='section-63a725b0-1a80-47b8-a83d-4f1f08c4cc36' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-63a725b0-1a80-47b8-a83d-4f1f08c4cc36' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a08d50fa-3647-4ba0-b96f-9d495b5d0814' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a08d50fa-3647-4ba0-b96f-9d495b5d0814' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-48901219-5bc6-47b4-9da2-521020c568a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-48901219-5bc6-47b4-9da2-521020c568a3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+&lt;Quantity(10, &#x27;meter&#x27;)&gt;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dd280dd8-a2d5-4641-9bb5-c75bd2399bee' class='xr-array-in' type='checkbox' checked><label for='section-dd280dd8-a2d5-4641-9bb5-c75bd2399bee' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>&lt;Quantity(10, &#x27;meter&#x27;)&gt;</span></div><div class='xr-array-data'>10 meter</div></div></li><li class='xr-section-item'><input id='section-9f1d5971-9aa0-4e01-ab86-4b8996533b46' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9f1d5971-9aa0-4e01-ab86-4b8996533b46' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d8dc8c72-680f-47e2-ab49-3c6286c17c8d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d8dc8c72-680f-47e2-ab49-3c6286c17c8d' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d4dc5c95-3d7e-4fce-83cb-d0a30326492f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d4dc5c95-3d7e-4fce-83cb-d0a30326492f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>We can see that the data type stored within the DataArray is a <code class="docutils literal notranslate"><span class="pre">Quantity</span></code> object, rather than just a <code class="docutils literal notranslate"><span class="pre">np.ndarray</span></code> object, and the units of the data are displayed in the repr.</p>
 <p>The reason this works is that a <code class="docutils literal notranslate"><span class="pre">pint.Quantity</span></code> array is what we call a “duck array”, in that it behaves so similarly to a <code class="docutils literal notranslate"><span class="pre">numpy.ndarray</span></code> that xarray can treat them the same way. (See <a class="reference external" href="https://towardsdatascience.com/duck-typing-python-7aeac97e11f8">python duck typing</a>)</p>
 </section>
 <section id="pint-xarray">
-<h3>pint-xarray<a class="headerlink" href="#pint-xarray" title="Permalink to this headline">#</a></h3>
+<h3>pint-xarray<a class="headerlink" href="#pint-xarray" title="Permalink to this heading">#</a></h3>
 <p>The convenience package <a class="reference external" href="https://pint-xarray.readthedocs.io/en/latest/index.html">pint-xarray</a> makes it easier to get the benefits of pint whilst working with xarray objects.</p>
 <p>It provides utility accessor methods for promoting xarray data to pint quantities (which we call “quantifying”) in various ways and for manipulating the resulting objects.</p>
 <div class="cell docutils container">
@@ -3892,7 +3978,7 @@ <h3>pint-xarray<a class="headerlink" href="#pint-xarray" title="Permalink to thi
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.core.options.set_options at 0x7fc08445e190&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.core.options.set_options at 0x7f51bcd536d0&gt;
 </pre></div>
 </div>
 </div>
@@ -4283,7 +4369,7 @@ <h3>pint-xarray<a class="headerlink" href="#pint-xarray" title="Permalink to thi
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (time: 3)&gt;
 [V] 4.5 6.7 3.8
-Dimensions without coordinates: time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e3838565-fa9e-448e-8a1b-f1457308fc1b' class='xr-array-in' type='checkbox' ><label for='section-e3838565-fa9e-448e-8a1b-f1457308fc1b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>[V] 4.5 6.7 3.8</span></div><div class='xr-array-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[4.5 6.7 3.8]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>volt</td></tr></tbody></table></div></div></li><li class='xr-section-item'><input id='section-c87072c5-9ea7-4687-9d28-dba72df57b11' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c87072c5-9ea7-4687-9d28-dba72df57b11' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d3341b86-3259-45a2-9b57-2d5e0d824f60' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d3341b86-3259-45a2-9b57-2d5e0d824f60' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8967063e-ba6b-4573-b71f-dc57f96fa650' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8967063e-ba6b-4573-b71f-dc57f96fa650' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: time</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>time</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f0c163c0-ee71-4d0b-a2f3-3af2bc893ac6' class='xr-array-in' type='checkbox' ><label for='section-f0c163c0-ee71-4d0b-a2f3-3af2bc893ac6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>[V] 4.5 6.7 3.8</span></div><div class='xr-array-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[4.5 6.7 3.8]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>volt</td></tr></tbody></table></div></div></li><li class='xr-section-item'><input id='section-49a23ba7-ad1e-4e93-9b87-c83564423eae' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-49a23ba7-ad1e-4e93-9b87-c83564423eae' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-5d150d65-44e9-4af9-b2a7-f643dbfbc73e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5d150d65-44e9-4af9-b2a7-f643dbfbc73e' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d18f77f5-7dae-4078-a3aa-574506bbc627' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d18f77f5-7dae-4078-a3aa-574506bbc627' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Or if the data has a “units” entry in its <code class="docutils literal notranslate"><span class="pre">.attrs</span></code> metadata dictionary, we can automatically use that to convert each variable.</p>
 <p>For example, the xarray tutorial dataset we opened earlier has units in its attributes</p>
@@ -4684,26 +4770,26 @@ <h3>pint-xarray<a class="headerlink" href="#pint-xarray" title="Permalink to thi
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ef644bc6-79a9-4dd6-bf84-3321dce2e121' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ef644bc6-79a9-4dd6-bf84-3321dce2e121' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-694b8646-c2f1-4027-8923-fc63c06cfa50' class='xr-section-summary-in' type='checkbox'  checked><label for='section-694b8646-c2f1-4027-8923-fc63c06cfa50' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-abd5411a-082e-4759-8ee7-525961704ce2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abd5411a-082e-4759-8ee7-525961704ce2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70612e1e-9e41-4040-9a20-ac4bf841e013' class='xr-var-data-in' type='checkbox'><label for='data-70612e1e-9e41-4040-9a20-ac4bf841e013' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1cd2a910-7d2c-4d83-b11d-f8bc061ff560' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1cd2a910-7d2c-4d83-b11d-f8bc061ff560' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e194bdd5-9db2-471c-8fe9-4c3f9812d9d9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e194bdd5-9db2-471c-8fe9-4c3f9812d9d9' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-e686d88c-3b31-4a99-98eb-00b5fe50e911' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e686d88c-3b31-4a99-98eb-00b5fe50e911' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c288158-6088-4e9b-9044-17fc7d9bf287' class='xr-var-data-in' type='checkbox'><label for='data-0c288158-6088-4e9b-9044-17fc7d9bf287' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-196d1c03-9f0c-4342-a1f1-1934401bb0a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-196d1c03-9f0c-4342-a1f1-1934401bb0a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4ee89b0b-a695-4879-b258-052548a8bc72' class='xr-var-data-in' type='checkbox'><label for='data-4ee89b0b-a695-4879-b258-052548a8bc72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-7b60afe7-6546-4e3c-86c2-4b97d1df5f0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b60afe7-6546-4e3c-86c2-4b97d1df5f0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-320c1a25-fc62-4b58-b492-b52115d837f0' class='xr-var-data-in' type='checkbox'><label for='data-320c1a25-fc62-4b58-b492-b52115d837f0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-7b4cc832-843f-4a43-8be2-f14ccfc4f44d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b4cc832-843f-4a43-8be2-f14ccfc4f44d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c182c87b-e264-4a47-be3c-bc7b144f8e39' class='xr-var-data-in' type='checkbox'><label for='data-c182c87b-e264-4a47-be3c-bc7b144f8e39' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-bbd20d25-6433-4084-88bb-1de10bdf67dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbd20d25-6433-4084-88bb-1de10bdf67dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-315b8e77-d450-4f15-ad14-5b9645b40d5c' class='xr-var-data-in' type='checkbox'><label for='data-315b8e77-d450-4f15-ad14-5b9645b40d5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-01e66e13-c69e-44d3-8a21-b525a1f2e09d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-01e66e13-c69e-44d3-8a21-b525a1f2e09d' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>[K] 241.2 242.5 ... 296.19 295.69</div><input id='attrs-c6586b0a-fe3c-4170-889d-d6a718f391ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6586b0a-fe3c-4170-889d-d6a718f391ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-175a0eed-ce76-46f9-abe3-e5a9d9ece780' class='xr-var-data-in' type='checkbox'><label for='data-175a0eed-ce76-46f9-abe3-e5a9d9ece780' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[[[241.1999969482422 242.5 243.5 ... 232.79998779296875 235.5<br>   238.59999084472656]<br>  [243.79998779296875 244.5 244.6999969482422 ... 232.79998779296875<br>   235.29998779296875 239.29998779296875]<br>  [250.0 249.79998779296875 248.88999938964844 ... 233.1999969482422<br>   236.38999938964844 241.6999969482422]<br>  ...<br>  [296.6000061035156 296.1999816894531 296.3999938964844 ...<br>   295.3999938964844 295.1000061035156 294.6999816894531]<br>  [295.8999938964844 296.1999816894531 296.7900085449219 ...<br>   295.8999938964844 295.8999938964844 295.1999816894531]<br>  [296.2900085449219 296.7900085449219 297.1000061035156 ...<br>   296.8999938964844 296.7900085449219 296.6000061035156]]<br><br> [[242.09999084472656 242.6999969482422 243.09999084472656 ... 232.0<br>   233.59999084472656 235.79998779296875]<br>  [243.59999084472656 244.09999084472656 244.1999969482422 ... 231.0<br>   232.5 235.6999969482422]<br>  [253.1999969482422 252.88999938964844 252.09999084472656 ...<br>   230.79998779296875 233.38999938964844 238.5]<br>  ...<br>  [296.3999938964844 295.8999938964844 296.1999816894531 ...<br>   295.3999938964844 295.1000061035156 294.7900085449219]<br>  [296.1999816894531 296.6999816894531 296.7900085449219 ...<br>   295.6000061035156 295.5 295.1000061035156]<br>  [296.2900085449219 297.1999816894531 297.3999938964844 ...<br>   296.3999938964844 296.3999938964844 296.6000061035156]]<br><br> [[242.29998779296875 242.1999969482422 242.29998779296875 ...<br>   234.29998779296875 236.09999084472656 238.6999969482422]<br>  [244.59999084472656 244.38999938964844 244.0 ... 230.29998779296875<br>   232.0 235.6999969482422]<br>  [256.1999816894531 255.5 254.1999969482422 ... 231.1999969482422<br>   233.1999969482422 238.1999969482422]<br>  ...<br>  [295.6000061035156 295.3999938964844 295.3999938964844 ...<br>   296.2900085449219 295.2900085449219 295.0]<br>  [296.1999816894531 296.5 296.2900085449219 ... 296.3999938964844 296.0<br>   295.6000061035156]<br>  [296.3999938964844 296.2900085449219 296.3999938964844 ... 297.0 297.0<br>   296.7900085449219]]<br><br> ...<br><br> [[243.489990234375 242.989990234375 242.08999633789062 ...<br>   244.1899871826172 244.489990234375 244.88999938964844]<br>  [249.08999633789062 248.989990234375 248.58999633789062 ...<br>   240.58999633789062 241.2899932861328 242.6899871826172]<br>  [262.69000244140625 262.19000244140625 261.69000244140625 ...<br>   239.38999938964844 241.6899871826172 245.1899871826172]<br>  ...<br>  [294.7900085449219 295.2900085449219 297.489990234375 ...<br>   295.489990234375 295.3899841308594 294.69000244140625]<br>  [296.7900085449219 297.8899841308594 298.2900085449219 ...<br>   295.489990234375 295.489990234375 294.7900085449219]<br>  [298.19000244140625 299.19000244140625 298.7900085449219 ...<br>   296.0899963378906 295.7900085449219 295.7900085449219]]<br><br> [[245.7899932861328 244.7899932861328 243.489990234375 ...<br>   243.2899932861328 243.989990234375 244.7899932861328]<br>  [249.88999938964844 249.2899932861328 248.489990234375 ...<br>   241.2899932861328 242.489990234375 244.2899932861328]<br>  [262.3899841308594 261.7900085449219 261.2900085449219 ...<br>   240.489990234375 243.08999633789062 246.88999938964844]<br>  ...<br>  [293.69000244140625 293.8899841308594 295.3899841308594 ...<br>   295.0899963378906 294.69000244140625 294.2900085449219]<br>  [296.2900085449219 297.19000244140625 297.5899963378906 ...<br>   295.2900085449219 295.0899963378906 294.3899841308594]<br>  [297.7900085449219 298.3899841308594 298.489990234375 ...<br>   295.69000244140625 295.489990234375 295.19000244140625]]<br><br> [[245.08999633789062 244.2899932861328 243.2899932861328 ...<br>   241.6899871826172 241.489990234375 241.7899932861328]<br>  [249.88999938964844 249.2899932861328 248.38999938964844 ...<br>   239.58999633789062 240.2899932861328 241.6899871826172]<br>  [262.989990234375 262.19000244140625 261.3899841308594 ...<br>   239.88999938964844 242.58999633789062 246.2899932861328]<br>  ...<br>  [293.7900085449219 293.69000244140625 295.0899963378906 ...<br>   295.2900085449219 295.0899963378906 294.69000244140625]<br>  [296.0899963378906 296.8899841308594 297.19000244140625 ...<br>   295.69000244140625 295.69000244140625 295.19000244140625]<br>  [297.69000244140625 298.0899963378906 298.0899963378906 ...<br>   296.489990234375 296.19000244140625 295.69000244140625]]]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>kelvin</td></tr></tbody></table></div></li></ul></div></li><li class='xr-section-item'><input id='section-d656f728-ea50-4278-b7b4-1abb9f32450f' class='xr-section-summary-in' type='checkbox'  ><label for='section-d656f728-ea50-4278-b7b4-1abb9f32450f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2064b49d-721a-42b3-9a2e-95d2a76ec21d' class='xr-index-data-in' type='checkbox'/><label for='index-2064b49d-721a-42b3-9a2e-95d2a76ec21d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a064b12f-06d9-492c-98d8-3166b8a6abf6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a064b12f-06d9-492c-98d8-3166b8a6abf6' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>[K] 241.2 242.5 ... 296.19 295.69</div><input id='attrs-8d62723f-a5fb-47ae-af13-21409bff2962' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d62723f-a5fb-47ae-af13-21409bff2962' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7b12ae7-8119-4e1a-9517-8b9e6dd3592f' class='xr-var-data-in' type='checkbox'><label for='data-c7b12ae7-8119-4e1a-9517-8b9e6dd3592f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[[[241.1999969482422 242.5 243.5 ... 232.79998779296875 235.5<br>   238.59999084472656]<br>  [243.79998779296875 244.5 244.6999969482422 ... 232.79998779296875<br>   235.29998779296875 239.29998779296875]<br>  [250.0 249.79998779296875 248.88999938964844 ... 233.1999969482422<br>   236.38999938964844 241.6999969482422]<br>  ...<br>  [296.6000061035156 296.1999816894531 296.3999938964844 ...<br>   295.3999938964844 295.1000061035156 294.6999816894531]<br>  [295.8999938964844 296.1999816894531 296.7900085449219 ...<br>   295.8999938964844 295.8999938964844 295.1999816894531]<br>  [296.2900085449219 296.7900085449219 297.1000061035156 ...<br>   296.8999938964844 296.7900085449219 296.6000061035156]]<br><br> [[242.09999084472656 242.6999969482422 243.09999084472656 ... 232.0<br>   233.59999084472656 235.79998779296875]<br>  [243.59999084472656 244.09999084472656 244.1999969482422 ... 231.0<br>   232.5 235.6999969482422]<br>  [253.1999969482422 252.88999938964844 252.09999084472656 ...<br>   230.79998779296875 233.38999938964844 238.5]<br>  ...<br>  [296.3999938964844 295.8999938964844 296.1999816894531 ...<br>   295.3999938964844 295.1000061035156 294.7900085449219]<br>  [296.1999816894531 296.6999816894531 296.7900085449219 ...<br>   295.6000061035156 295.5 295.1000061035156]<br>  [296.2900085449219 297.1999816894531 297.3999938964844 ...<br>   296.3999938964844 296.3999938964844 296.6000061035156]]<br><br> [[242.29998779296875 242.1999969482422 242.29998779296875 ...<br>   234.29998779296875 236.09999084472656 238.6999969482422]<br>  [244.59999084472656 244.38999938964844 244.0 ... 230.29998779296875<br>   232.0 235.6999969482422]<br>  [256.1999816894531 255.5 254.1999969482422 ... 231.1999969482422<br>   233.1999969482422 238.1999969482422]<br>  ...<br>  [295.6000061035156 295.3999938964844 295.3999938964844 ...<br>   296.2900085449219 295.2900085449219 295.0]<br>  [296.1999816894531 296.5 296.2900085449219 ... 296.3999938964844 296.0<br>   295.6000061035156]<br>  [296.3999938964844 296.2900085449219 296.3999938964844 ... 297.0 297.0<br>   296.7900085449219]]<br><br> ...<br><br> [[243.489990234375 242.989990234375 242.08999633789062 ...<br>   244.1899871826172 244.489990234375 244.88999938964844]<br>  [249.08999633789062 248.989990234375 248.58999633789062 ...<br>   240.58999633789062 241.2899932861328 242.6899871826172]<br>  [262.69000244140625 262.19000244140625 261.69000244140625 ...<br>   239.38999938964844 241.6899871826172 245.1899871826172]<br>  ...<br>  [294.7900085449219 295.2900085449219 297.489990234375 ...<br>   295.489990234375 295.3899841308594 294.69000244140625]<br>  [296.7900085449219 297.8899841308594 298.2900085449219 ...<br>   295.489990234375 295.489990234375 294.7900085449219]<br>  [298.19000244140625 299.19000244140625 298.7900085449219 ...<br>   296.0899963378906 295.7900085449219 295.7900085449219]]<br><br> [[245.7899932861328 244.7899932861328 243.489990234375 ...<br>   243.2899932861328 243.989990234375 244.7899932861328]<br>  [249.88999938964844 249.2899932861328 248.489990234375 ...<br>   241.2899932861328 242.489990234375 244.2899932861328]<br>  [262.3899841308594 261.7900085449219 261.2900085449219 ...<br>   240.489990234375 243.08999633789062 246.88999938964844]<br>  ...<br>  [293.69000244140625 293.8899841308594 295.3899841308594 ...<br>   295.0899963378906 294.69000244140625 294.2900085449219]<br>  [296.2900085449219 297.19000244140625 297.5899963378906 ...<br>   295.2900085449219 295.0899963378906 294.3899841308594]<br>  [297.7900085449219 298.3899841308594 298.489990234375 ...<br>   295.69000244140625 295.489990234375 295.19000244140625]]<br><br> [[245.08999633789062 244.2899932861328 243.2899932861328 ...<br>   241.6899871826172 241.489990234375 241.7899932861328]<br>  [249.88999938964844 249.2899932861328 248.38999938964844 ...<br>   239.58999633789062 240.2899932861328 241.6899871826172]<br>  [262.989990234375 262.19000244140625 261.3899841308594 ...<br>   239.88999938964844 242.58999633789062 246.2899932861328]<br>  ...<br>  [293.7900085449219 293.69000244140625 295.0899963378906 ...<br>   295.2900085449219 295.0899963378906 294.69000244140625]<br>  [296.0899963378906 296.8899841308594 297.19000244140625 ...<br>   295.69000244140625 295.69000244140625 295.19000244140625]<br>  [297.69000244140625 298.0899963378906 298.0899963378906 ...<br>   296.489990234375 296.19000244140625 295.69000244140625]]]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>kelvin</td></tr></tbody></table></div></li></ul></div></li><li class='xr-section-item'><input id='section-514fce6a-6763-4e7e-b9c2-53940a6d4760' class='xr-section-summary-in' type='checkbox'  ><label for='section-514fce6a-6763-4e7e-b9c2-53940a6d4760' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9a606ef4-c427-4cc6-bd34-fe8c5440d81f' class='xr-index-data-in' type='checkbox'/><label for='index-9a606ef4-c427-4cc6-bd34-fe8c5440d81f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1c72bcc7-a46e-40cf-868c-ddda5735c89c' class='xr-index-data-in' type='checkbox'/><label for='index-1c72bcc7-a46e-40cf-868c-ddda5735c89c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-43bddfbd-1381-44f6-8326-f5d02222d019' class='xr-index-data-in' type='checkbox'/><label for='index-43bddfbd-1381-44f6-8326-f5d02222d019' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a6d2e367-f5ae-4f9d-a7df-cef8ec35c344' class='xr-index-data-in' type='checkbox'/><label for='index-a6d2e367-f5ae-4f9d-a7df-cef8ec35c344' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-685d8652-8971-4854-b34f-1697f9138840' class='xr-index-data-in' type='checkbox'/><label for='index-685d8652-8971-4854-b34f-1697f9138840' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -4714,7 +4800,7 @@ <h3>pint-xarray<a class="headerlink" href="#pint-xarray" title="Permalink to thi
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-421fa6ce-0d77-4d51-9949-6b574565ea6f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-421fa6ce-0d77-4d51-9949-6b574565ea6f' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fb9e6ef8-98b8-42e7-9f9c-2cdb89cecc77' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fb9e6ef8-98b8-42e7-9f9c-2cdb89cecc77' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Here we have actually gone even further, and used cf-xarray to automatically interpret cf-compliant units in the <code class="docutils literal notranslate"><span class="pre">.attrs</span></code> to valid pint units.
@@ -4727,7 +4813,7 @@ <h3>pint-xarray<a class="headerlink" href="#pint-xarray" title="Permalink to thi
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/51cef11a183ff933433e90494741f6b4547ec0a69c12bc761d84d197091b25db.png" src="../_images/51cef11a183ff933433e90494741f6b4547ec0a69c12bc761d84d197091b25db.png" />
+<img alt="../_images/dc67faa0e006e75eebe28c21b8ccb11448f4d0fd6326b29a08b956b7d06af77c.png" src="../_images/dc67faa0e006e75eebe28c21b8ccb11448f4d0fd6326b29a08b956b7d06af77c.png" />
 </div>
 </div>
 <p>If we want to cast the pint arrays back to numpy arrays, we can use <code class="docutils literal notranslate"><span class="pre">.pint.dequantify()</span></code>, which will also write the current units back out to the <code class="docutils literal notranslate"><span class="pre">.attrs[&quot;units&quot;]</span></code> field</p>
@@ -5114,17 +5200,17 @@ <h3>pint-xarray<a class="headerlink" href="#pint-xarray" title="Permalink to thi
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-00db332e-b43b-41d7-934d-7bd5dd609c4a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-00db332e-b43b-41d7-934d-7bd5dd609c4a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9a15c487-2b46-4619-80c3-d80fcfb44f36' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a15c487-2b46-4619-80c3-d80fcfb44f36' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-aca38a7f-8c73-45d8-848b-c34d30e03b9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aca38a7f-8c73-45d8-848b-c34d30e03b9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20bec3b9-b5d3-4102-96be-5f7ee557e57a' class='xr-var-data-in' type='checkbox'><label for='data-20bec3b9-b5d3-4102-96be-5f7ee557e57a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-30f6f43b-048d-4fb6-8c87-fd8301de9815' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-30f6f43b-048d-4fb6-8c87-fd8301de9815' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-90f14fc2-fc18-4416-b40d-98ae4ec57006' class='xr-section-summary-in' type='checkbox'  checked><label for='section-90f14fc2-fc18-4416-b40d-98ae4ec57006' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-8f939384-0eb2-46c2-92fe-272b214bb762' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f939384-0eb2-46c2-92fe-272b214bb762' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c33a15b-a302-47bb-9c61-b397417126a9' class='xr-var-data-in' type='checkbox'><label for='data-9c33a15b-a302-47bb-9c61-b397417126a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-c958a129-0333-497c-82db-9b89595d4806' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c958a129-0333-497c-82db-9b89595d4806' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e085c3fb-cf17-4250-aa4f-5d8c395fc950' class='xr-var-data-in' type='checkbox'><label for='data-e085c3fb-cf17-4250-aa4f-5d8c395fc950' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-6fbb5cf5-6afe-479e-a85d-0a50449ba23d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6fbb5cf5-6afe-479e-a85d-0a50449ba23d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dc72fba-ad78-40fb-a211-74f38e061e10' class='xr-var-data-in' type='checkbox'><label for='data-8dc72fba-ad78-40fb-a211-74f38e061e10' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-c2e6a5a7-3a9c-431c-b796-80b4422ae849' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2e6a5a7-3a9c-431c-b796-80b4422ae849' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4847016d-c1c1-4d13-89d8-3c79a4d0217c' class='xr-var-data-in' type='checkbox'><label for='data-4847016d-c1c1-4d13-89d8-3c79a4d0217c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-4d892781-e262-4c3c-857c-4d75d79d69cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d892781-e262-4c3c-857c-4d75d79d69cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-023d9bf4-1a3c-4982-ab87-dd337e921153' class='xr-var-data-in' type='checkbox'><label for='data-023d9bf4-1a3c-4982-ab87-dd337e921153' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f216ba1c-a840-4c98-b5c3-64e970c2f8b0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f216ba1c-a840-4c98-b5c3-64e970c2f8b0' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-b9c0c0b4-18a2-4542-8331-4268c23fe235' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9c0c0b4-18a2-4542-8331-4268c23fe235' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0299f1c-a367-460c-b0a7-ab2ef947bed7' class='xr-var-data-in' type='checkbox'><label for='data-c0299f1c-a367-460c-b0a7-ab2ef947bed7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>units :</span></dt><dd>kelvin</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a380272a-214e-426b-a4a6-19ba8ce1bd92' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a380272a-214e-426b-a4a6-19ba8ce1bd92' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-40cf0e1a-afac-43ff-8366-ff2dbe926d96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40cf0e1a-afac-43ff-8366-ff2dbe926d96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3824b97c-196f-4c29-8b0a-cc037457c1b3' class='xr-var-data-in' type='checkbox'><label for='data-3824b97c-196f-4c29-8b0a-cc037457c1b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>units :</span></dt><dd>kelvin</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -5164,16 +5250,16 @@ <h3>pint-xarray<a class="headerlink" href="#pint-xarray" title="Permalink to thi
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc791e32-f54c-4d7d-b295-dc36e8bae3f3' class='xr-section-summary-in' type='checkbox'  ><label for='section-cc791e32-f54c-4d7d-b295-dc36e8bae3f3' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6a6a4b14-f652-4b97-b0b0-9a5b23a428ec' class='xr-index-data-in' type='checkbox'/><label for='index-6a6a4b14-f652-4b97-b0b0-9a5b23a428ec' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8af8debd-221d-4eb8-9273-0927869be8f0' class='xr-section-summary-in' type='checkbox'  ><label for='section-8af8debd-221d-4eb8-9273-0927869be8f0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e414d815-7b4a-45e9-92da-815443eb5a3f' class='xr-index-data-in' type='checkbox'/><label for='index-e414d815-7b4a-45e9-92da-815443eb5a3f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4b2af586-3d11-4d76-ba98-602f9bd47a1a' class='xr-index-data-in' type='checkbox'/><label for='index-4b2af586-3d11-4d76-ba98-602f9bd47a1a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d6688ea0-5fdb-4e73-8c80-75597bdf4fd1' class='xr-index-data-in' type='checkbox'/><label for='index-d6688ea0-5fdb-4e73-8c80-75597bdf4fd1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0facec6-8d0d-4c11-834e-711090c59528' class='xr-index-data-in' type='checkbox'/><label for='index-e0facec6-8d0d-4c11-834e-711090c59528' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-99a5f684-127c-45d3-aadd-ed50f03ad978' class='xr-index-data-in' type='checkbox'/><label for='index-99a5f684-127c-45d3-aadd-ed50f03ad978' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -5184,7 +5270,7 @@ <h3>pint-xarray<a class="headerlink" href="#pint-xarray" title="Permalink to thi
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b5683ef9-326b-43b4-8c9b-c297cf5399d4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5683ef9-326b-43b4-8c9b-c297cf5399d4' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-29d137cb-c559-4082-b632-81142d7f98cb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-29d137cb-c559-4082-b632-81142d7f98cb' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p><strong>Exercise:</strong> Write a function which will raise an error if supplied with data in the wrong units.</p>
@@ -5209,7 +5295,7 @@ <h3>pint-xarray<a class="headerlink" href="#pint-xarray" title="Permalink to thi
 </section>
 </section>
 <section id="the-wider-world">
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 <p>There are many other libraries in the wider xarray ecosystem. For a list of a few packages we particularly like for geoscience work <a class="reference external" href="https://tutorial.xarray.dev/overview/xarray-in-45-min.html#other-cool-packages">see here</a>, and for a <a class="reference external" href="https://docs.xarray.dev/en/stable/ecosystem.html">more exhaustive list see here</a>.</p>
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@@ -482,10 +501,10 @@ <h2> Contents </h2>
               
                 
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-<h1>Welcome to the Xarray Tutorial!<a class="headerlink" href="#welcome-to-the-xarray-tutorial" title="Permalink to this headline">#</a></h1>
+<h1>Welcome to the Xarray Tutorial!<a class="headerlink" href="#welcome-to-the-xarray-tutorial" title="Permalink to this heading">#</a></h1>
 <p><strong><a class="reference external" href="https://xarray.dev"><code class="docutils literal notranslate"><span class="pre">Xarray</span></code></a> is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun!</strong></p>
 <p>📖 On this Jupyter Book website you’ll find easy-to-run tutorial notebooks for Xarray. Whether you’re new to Xarray or a seasoned user we hope you’ll learn something new and get a head start on your own projects by exploring this material!</p>
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-<h2>Citation<a class="headerlink" href="#citation" title="Permalink to this headline">#</a></h2>
+<h2>Citation<a class="headerlink" href="#citation" title="Permalink to this heading">#</a></h2>
 <p>✏️ To cite this material, you can use the recommended <a class="reference external" href="https://docs.xarray.dev/en/stable/getting-started-guide/faq.html#how-should-i-cite-xarray">Xarray citation</a>: <span id="id1">[<a class="reference internal" href="#id4" title="S. Hoyer and J. Hamman. Xarray: N-D labeled arrays and datasets in Python. Journal of Open Research Software, 2017. URL: https://doi.org/10.5334/jors.148, doi:10.5334/jors.148.">Hoyer and Hamman, 2017</a>]</span>, <span id="id2">[<a class="reference internal" href="#id5" title="Stephan Hoyer, Clark Fitzgerald, Joe Hamman, and others. Xarray: v2022.3.0. May 2022. URL: https://doi.org/10.5281/zenodo.59499, doi:10.5281/zenodo.59499.">Hoyer <em>et al.</em>, 2022</a>]</span>.</p>
 </section>
 <section id="acknowledgements">
-<h2>Acknowledgements<a class="headerlink" href="#acknowledgements" title="Permalink to this headline">#</a></h2>
+<h2>Acknowledgements<a class="headerlink" href="#acknowledgements" title="Permalink to this heading">#</a></h2>
 <p>This website is the result of many contributions from the Xarray community! We’re very grateful for everyone’s volunteered effort as well as <a class="reference external" href="https://xarray.dev/#sponsors">sponsored development</a>. Funding for SciPy 2022, SciPy 2023 tutorial material development specifically was supported by NASA’s Open Source Tools, Frameworks, and Libraries Program (award 80NSSC22K0345).</p>
 </section>
 <section id="bibliography">
-<h2>Bibliography<a class="headerlink" href="#bibliography" title="Permalink to this headline">#</a></h2>
+<h2>Bibliography<a class="headerlink" href="#bibliography" title="Permalink to this heading">#</a></h2>
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+
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@@ -639,6 +655,7 @@ <h2>Bibliography<a class="headerlink" href="#bibliography" title="Permalink to t
   
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@@ -481,10 +498,10 @@ <h2> Contents </h2>
               
                 
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   <section class="tex2jax_ignore mathjax_ignore" id="fundamental-path">
-<span id="id1"></span><h1>Fundamental Path<a class="headerlink" href="#fundamental-path" title="Permalink to this headline">#</a></h1>
+<span id="id1"></span><h1>Fundamental Path<a class="headerlink" href="#fundamental-path" title="Permalink to this heading">#</a></h1>
 <p>This syllabus comes from Scipy 2022 tutorial workshop.
 This path covers fundamental Xarray concepts with
 increasingly complex real-world data analysis tasks.</p>
@@ -500,7 +517,7 @@ <h2> Contents </h2>
 <p>Launch cloud-hosted Jupyter Lab environment:
 <a class="reference external" href="https://mybinder.org/v2/gh/xarray-contrib/xarray-tutorial/HEAD?labpath=overview/fundamental-path/index.ipynb"><img alt="Binder" src="https://mybinder.org/badge_logo.svg" /></a></p>
 <section id="topics">
-<h2>Topics<a class="headerlink" href="#topics" title="Permalink to this headline">#</a></h2>
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+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
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@@ -613,10 +629,7 @@ <h2>Topics<a class="headerlink" href="#topics" title="Permalink to this headline
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-</div></div>
-  
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-
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@@ -625,6 +638,7 @@ <h2>Topics<a class="headerlink" href="#topics" title="Permalink to this headline
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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   <div class="page-toc tocsection onthispage">
     <i class="fa-solid fa-list"></i> Contents
@@ -653,6 +667,7 @@ <h2>Topics<a class="headerlink" href="#topics" title="Permalink to this headline
   
   <div class="footer-item">
     
+
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       © Copyright 2023.
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+  <script src="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/overview/get-started.html b/overview/get-started.html
index 44fedac4..1ac9d73b 100644
--- a/overview/get-started.html
+++ b/overview/get-started.html
@@ -3,7 +3,7 @@
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-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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-<link href="../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
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+<link rel="preload" as="font" type="font/woff2" crossorigin href="../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
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+  <link rel="preload" as="script" href="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
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     <script src="../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
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     <div class="bd-container__inner bd-page-width">
       
+      
+      
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     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
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@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -431,20 +446,22 @@
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+
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-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
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 </script>
 
+
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 document.write(`
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-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -483,11 +500,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="get-started">
-<span id="id1"></span><h1>Get Started<a class="headerlink" href="#get-started" title="Permalink to this headline">#</a></h1>
+<span id="id1"></span><h1>Get Started<a class="headerlink" href="#get-started" title="Permalink to this heading">#</a></h1>
 <p>Most of the tutorial content here is written as Jupyter Notebooks that mix
 code, text, visualization, and exercises. You can either browse rendered versions of these notebooks on this website, or <em>execute</em> the code examples interactively.</p>
 <p>You have two options for executing notebooks:</p>
@@ -509,15 +526,15 @@ <h2> Contents </h2>
 </pre></div>
 </div>
 <section id="organization">
-<h2>Organization<a class="headerlink" href="#organization" title="Permalink to this headline">#</a></h2>
+<h2>Organization<a class="headerlink" href="#organization" title="Permalink to this heading">#</a></h2>
 <p>Tutorials are approximately divided into sections with increasing levels of complexity: <code class="docutils literal notranslate"><span class="pre">Fundamentals</span></code>, <code class="docutils literal notranslate"><span class="pre">Intermediate</span></code>, <code class="docutils literal notranslate"><span class="pre">Advanced</span></code>. You’ll also find content specific to various <code class="docutils literal notranslate"><span class="pre">Workshops</span></code> hosted over the years, often with accompanying video recordings of instructors going over content and answering questions that come up.</p>
 </section>
 <section id="jupyter-lab">
-<h2>Jupyter Lab<a class="headerlink" href="#jupyter-lab" title="Permalink to this headline">#</a></h2>
+<h2>Jupyter Lab<a class="headerlink" href="#jupyter-lab" title="Permalink to this heading">#</a></h2>
 <p>JupyterLab is a next-generation web-based user interface for Project Jupyter. If you are new to this interface, spend some time reviewing the <a class="reference external" href="https://jupyterlab.readthedocs.io/en/stable/getting_started/overview.html">documentation and videos</a>.</p>
 </section>
 <section id="jupyter-notebooks">
-<h2>Jupyter Notebooks<a class="headerlink" href="#jupyter-notebooks" title="Permalink to this headline">#</a></h2>
+<h2>Jupyter Notebooks<a class="headerlink" href="#jupyter-notebooks" title="Permalink to this heading">#</a></h2>
 <p>If you haven’t used the Jupyter Notebooks before, the quick intro is</p>
 <ol class="arabic simple">
 <li><p>There are two modes: command and edit</p></li>
@@ -554,11 +571,10 @@ <h2>Jupyter Notebooks<a class="headerlink" href="#jupyter-notebooks" title="Perm
 
               
               
-                <footer class="bd-footer-article">
+              
+              
+                <footer class="prev-next-footer">
                   
-<div class="footer-article-items footer-article__inner">
-  
-    <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
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        href="../intro.html"
@@ -578,10 +594,7 @@ <h2>Jupyter Notebooks<a class="headerlink" href="#jupyter-notebooks" title="Perm
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
-</div></div>
-  
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-
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@@ -590,6 +603,7 @@ <h2>Jupyter Notebooks<a class="headerlink" href="#jupyter-notebooks" title="Perm
               
                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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   <div class="page-toc tocsection onthispage">
     <i class="fa-solid fa-list"></i> Contents
@@ -620,6 +634,7 @@ <h2>Jupyter Notebooks<a class="headerlink" href="#jupyter-notebooks" title="Perm
   
   <div class="footer-item">
     
+
   <p class="copyright">
     
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@@ -646,8 +661,8 @@ <h2>Jupyter Notebooks<a class="headerlink" href="#jupyter-notebooks" title="Perm
   </div>
   
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-  <script src="../_static/scripts/bootstrap.js?digest=e353d410970836974a52"></script>
-<script src="../_static/scripts/pydata-sphinx-theme.js?digest=e353d410970836974a52"></script>
+  <script src="../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae"></script>
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diff --git a/overview/intermediate-path/README.html b/overview/intermediate-path/README.html
index 43422320..83349141 100644
--- a/overview/intermediate-path/README.html
+++ b/overview/intermediate-path/README.html
@@ -3,7 +3,7 @@
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-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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@@ -19,15 +19,15 @@
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-<link href="../../_static/styles/pydata-sphinx-theme.css?digest=e353d410970836974a52" rel="stylesheet" />
+  <link href="../../_static/styles/theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/bootstrap.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+<link href="../../_static/styles/pydata-sphinx-theme.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
 
   
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+  <link href="../../_static/vendor/fontawesome/6.5.1/css/all.min.css?digest=8d27b9dea8ad943066ae" rel="stylesheet" />
+  <link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-solid-900.woff2" />
+<link rel="preload" as="font" type="font/woff2" crossorigin href="../../_static/vendor/fontawesome/6.5.1/webfonts/fa-brands-400.woff2" />
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+  <link rel="preload" as="script" href="../../_static/scripts/bootstrap.js?digest=8d27b9dea8ad943066ae" />
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     <script src="../../_static/jquery.js"></script>
     <script src="../../_static/underscore.js"></script>
+    <script src="../../_static/_sphinx_javascript_frameworks_compat.js"></script>
     <script src="../../_static/doctools.js"></script>
     <script src="../../_static/clipboard.min.js"></script>
     <script src="../../_static/copybutton.js"></script>
@@ -83,7 +85,15 @@
 
   
   
-  <a class="skip-link" href="#main-content">Skip to main content</a>
+  <a id="pst-skip-link" class="skip-link" href="#main-content">Skip to main content</a>
+  
+  <div id="pst-scroll-pixel-helper"></div>
+  
+  <button type="button" class="btn rounded-pill" id="pst-back-to-top">
+    <i class="fa-solid fa-arrow-up"></i>
+    Back to top
+  </button>
+
   
   <input type="checkbox"
           class="sidebar-toggle"
@@ -118,12 +128,15 @@
 </form></div>
   </div>
   
-    <nav class="bd-header navbar navbar-expand-lg bd-navbar">
-    </nav>
+    <header class="bd-header navbar navbar-expand-lg bd-navbar">
+    </header>
   
+
   <div class="bd-container">
     <div class="bd-container__inner bd-page-width">
       
+      
+      
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@@ -137,6 +150,7 @@
   
     <div class="sidebar-primary-items__start sidebar-primary__section">
         <div class="sidebar-primary-item">
+
   
 
 <a class="navbar-brand logo" href="../../intro.html">
@@ -144,13 +158,14 @@
   
   
   
+  
     
     
       
     
     
-    <img src="../../_static/logo.png" class="logo__image only-light" alt="Logo image"/>
-    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt="Logo image"/>`);</script>
+    <img src="../../_static/logo.png" class="logo__image only-light" alt=" - Home"/>
+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
 </a></div>
@@ -431,20 +446,22 @@
 </button>
 
 
+
 <script>
 document.write(`
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-    <span class="theme-switch" data-mode="auto"><i class="fa-solid fa-circle-half-stroke"></i></span>
+  <button class="btn btn-sm navbar-btn theme-switch-button" title="light/dark" aria-label="light/dark" data-bs-placement="bottom" data-bs-toggle="tooltip">
+    <span class="theme-switch nav-link" data-mode="light"><i class="fa-solid fa-sun fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="dark"><i class="fa-solid fa-moon fa-lg"></i></span>
+    <span class="theme-switch nav-link" data-mode="auto"><i class="fa-solid fa-circle-half-stroke fa-lg"></i></span>
   </button>
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 </script>
 
+
 <script>
 document.write(`
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-    <i class="fa-solid fa-magnifying-glass"></i>
+    <i class="fa-solid fa-magnifying-glass fa-lg"></i>
   </button>
 `);
 </script>
@@ -481,10 +498,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="intermediate-path">
-<h1>Intermediate Path<a class="headerlink" href="#intermediate-path" title="Permalink to this headline">#</a></h1>
+<h1>Intermediate Path<a class="headerlink" href="#intermediate-path" title="Permalink to this heading">#</a></h1>
 <p>This learning path was presented at SciPy 2023. It covers intermediate
 and more advanced topics and is a good follow-on from the <a class="reference internal" href="../fundamental-path/README.html#fundamental-path"><span class="std std-ref">Fundamental Path</span></a></p>
 <p>The tutorial was organized by:</p>
@@ -498,7 +515,7 @@ <h1>Intermediate Path<a class="headerlink" href="#intermediate-path" title="Perm
 <li><p>Don Setiawan (Univ. Washington)</p></li>
 </ul>
 <section id="outline">
-<h2>Outline<a class="headerlink" href="#outline" title="Permalink to this headline">#</a></h2>
+<h2>Outline<a class="headerlink" href="#outline" title="Permalink to this heading">#</a></h2>
 <details class="sd-sphinx-override sd-dropdown sd-card sd-mb-3">
 <summary class="sd-summary-title sd-card-header">
 Introduction<div class="sd-summary-down docutils">
@@ -575,11 +592,10 @@ <h2>Outline<a class="headerlink" href="#outline" title="Permalink to this headli
 
               
               
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     </a>
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+
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@@ -639,6 +653,7 @@ <h2>Outline<a class="headerlink" href="#outline" title="Permalink to this headli
   
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@@ -471,10 +488,10 @@ <h1>Learning Paths</h1>
               
                 
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-<h1>Learning Paths<a class="headerlink" href="#learning-paths" title="Permalink to this headline">#</a></h1>
+<h1>Learning Paths<a class="headerlink" href="#learning-paths" title="Permalink to this heading">#</a></h1>
 <p>Learning Paths are guided tours through the material on the site.
 These paths were originally built for in-person tutorials at the SciPy conference.
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@@ -556,11 +573,11 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <a class="reference internal image-reference" href="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png"><img alt="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" class="align-right" src="https://docs.xarray.dev/en/stable/_static/dataset-diagram-logo.png" style="width: 30%;" /></a>
 <section class="tex2jax_ignore mathjax_ignore" id="xarray-in-45-minutes">
-<h1>Xarray in 45 minutes<a class="headerlink" href="#xarray-in-45-minutes" title="Permalink to this headline">#</a></h1>
+<h1>Xarray in 45 minutes<a class="headerlink" href="#xarray-in-45-minutes" title="Permalink to this heading">#</a></h1>
 <p>In this lesson, we discuss cover the basics of Xarray data structures. By the
 end of the lesson, we will be able to:</p>
 <ul class="simple">
@@ -970,17 +987,17 @@ <h1>Xarray in 45 minutes<a class="headerlink" href="#xarray-in-45-minutes" title
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8a8996d6-956a-4076-9031-066879262188' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8a8996d6-956a-4076-9031-066879262188' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9da44dcb-e063-42b4-ad0f-dbfc065a89c9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9da44dcb-e063-42b4-ad0f-dbfc065a89c9' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-7843a855-776e-47a6-9d3d-02d106828abd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7843a855-776e-47a6-9d3d-02d106828abd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec1a8fb2-2b84-48a3-b1b4-5f52517a8760' class='xr-var-data-in' type='checkbox'><label for='data-ec1a8fb2-2b84-48a3-b1b4-5f52517a8760' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0be8aff7-29c9-4715-ad26-7218e2bbbbc7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0be8aff7-29c9-4715-ad26-7218e2bbbbc7' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-3035b452-ffe8-4ebf-825a-ec94155f2054' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3035b452-ffe8-4ebf-825a-ec94155f2054' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-cf903a2f-d316-4af7-a095-996a08c6a2fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf903a2f-d316-4af7-a095-996a08c6a2fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b906623a-0d54-4a79-a0dd-a54f006ff38f' class='xr-var-data-in' type='checkbox'><label for='data-b906623a-0d54-4a79-a0dd-a54f006ff38f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-6dcabb28-617d-4bfb-9384-1184a856f808' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6dcabb28-617d-4bfb-9384-1184a856f808' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cc99c287-cc93-4319-8981-deb579e2b436' class='xr-var-data-in' type='checkbox'><label for='data-cc99c287-cc93-4319-8981-deb579e2b436' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-2de97a55-ab3b-4852-8e04-2695176c6b24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2de97a55-ab3b-4852-8e04-2695176c6b24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-def88f33-973b-44b6-b291-0d63b3f0dcec' class='xr-var-data-in' type='checkbox'><label for='data-def88f33-973b-44b6-b291-0d63b3f0dcec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-ad984808-5421-4ccf-9d65-6ef93f3f2238' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad984808-5421-4ccf-9d65-6ef93f3f2238' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa10d343-f748-4032-8b11-b22c0182ed55' class='xr-var-data-in' type='checkbox'><label for='data-aa10d343-f748-4032-8b11-b22c0182ed55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-8a82490a-dacd-4823-b102-b90d88f7ad94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a82490a-dacd-4823-b102-b90d88f7ad94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a718193d-f87a-4c38-9674-29038a7a4d36' class='xr-var-data-in' type='checkbox'><label for='data-a718193d-f87a-4c38-9674-29038a7a4d36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5058ade6-3479-467d-aa36-7d2ff73ff6df' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5058ade6-3479-467d-aa36-7d2ff73ff6df' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-f416f120-eabd-4302-8af1-f8096aa5ded0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f416f120-eabd-4302-8af1-f8096aa5ded0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8b3b340-117d-4172-8dca-51af37fd086f' class='xr-var-data-in' type='checkbox'><label for='data-f8b3b340-117d-4172-8dca-51af37fd086f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bf4f0a56-c13d-4483-9c1a-228b5dedf691' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bf4f0a56-c13d-4483-9c1a-228b5dedf691' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-3fc115bc-7887-42d5-9221-169dc331b0cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fc115bc-7887-42d5-9221-169dc331b0cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-317ff18f-e2e0-4b1c-b456-96aee1088c42' class='xr-var-data-in' type='checkbox'><label for='data-317ff18f-e2e0-4b1c-b456-96aee1088c42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -1020,16 +1037,16 @@ <h1>Xarray in 45 minutes<a class="headerlink" href="#xarray-in-45-minutes" title
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4fde3031-e976-4011-ac78-55c8043ec61b' class='xr-section-summary-in' type='checkbox'  ><label for='section-4fde3031-e976-4011-ac78-55c8043ec61b' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d2677bc3-b510-42b8-99ad-4a948d113602' class='xr-index-data-in' type='checkbox'/><label for='index-d2677bc3-b510-42b8-99ad-4a948d113602' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63c02961-9847-47da-b0df-fc34ca14801a' class='xr-section-summary-in' type='checkbox'  ><label for='section-63c02961-9847-47da-b0df-fc34ca14801a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b0639359-518e-40a2-bf49-456176f1fd7f' class='xr-index-data-in' type='checkbox'/><label for='index-b0639359-518e-40a2-bf49-456176f1fd7f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b70600c4-3d5f-480f-af61-45652ef2ae16' class='xr-index-data-in' type='checkbox'/><label for='index-b70600c4-3d5f-480f-af61-45652ef2ae16' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9075d980-94fb-4e55-b305-66ba6c46a4f5' class='xr-index-data-in' type='checkbox'/><label for='index-9075d980-94fb-4e55-b305-66ba6c46a4f5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9b87b0d0-1b7b-42df-a5b8-6b2acec15e80' class='xr-index-data-in' type='checkbox'/><label for='index-9b87b0d0-1b7b-42df-a5b8-6b2acec15e80' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0bb3fe77-5416-41a0-89de-9959d997ef42' class='xr-index-data-in' type='checkbox'/><label for='index-0bb3fe77-5416-41a0-89de-9959d997ef42' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1040,13 +1057,13 @@ <h1>Xarray in 45 minutes<a class="headerlink" href="#xarray-in-45-minutes" title
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0c9d83b7-259b-476f-a913-30e4c2320b13' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0c9d83b7-259b-476f-a913-30e4c2320b13' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96cbd06a-f332-4d56-9f21-a103b56ed39c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96cbd06a-f332-4d56-9f21-a103b56ed39c' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Note that behind the scenes the <code class="docutils literal notranslate"><span class="pre">tutorial.open_dataset</span></code> downloads a file. It then uses <a class="reference external" href="https://docs.xarray.dev/en/stable/generated/xarray.open_dataset.html#xarray-open-dataset"><code class="docutils literal notranslate"><span class="pre">xarray.open_dataset</span></code></a> function to open that file (which for this datasets is a <a class="reference external" href="https://www.unidata.ucar.edu/software/netcdf/">netCDF</a> file).</p>
 <p>A few things are done automatically upon opening, but controlled by keyword arguments. For example, try passing the keyword argument <code class="docutils literal notranslate"><span class="pre">mask_and_scale=False</span></code>… what happens?</p>
 <section id="what-s-in-a-dataset">
-<h2>What’s in a Dataset?<a class="headerlink" href="#what-s-in-a-dataset" title="Permalink to this headline">#</a></h2>
+<h2>What’s in a Dataset?<a class="headerlink" href="#what-s-in-a-dataset" title="Permalink to this heading">#</a></h2>
 <p><em>Many DataArrays!</em></p>
 <p>What’s a DataArray?</p>
 <p>Datasets are dictionary-like containers of DataArrays. They are a mapping of
@@ -1479,7 +1496,7 @@ <h2>What’s in a Dataset?<a class="headerlink" href="#what-s-in-a-dataset" titl
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0b32fb6e-66aa-4725-b5c0-9bde4b8f43f7' class='xr-array-in' type='checkbox' checked><label for='section-0b32fb6e-66aa-4725-b5c0-9bde4b8f43f7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-682f6a30-224d-4fbc-9e9b-6435ad5c9576' class='xr-array-in' type='checkbox' checked><label for='section-682f6a30-224d-4fbc-9e9b-6435ad5c9576' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -1519,26 +1536,26 @@ <h2>What’s in a Dataset?<a class="headerlink" href="#what-s-in-a-dataset" titl
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-402416db-bb69-4346-9f26-c4c30ecd8965' class='xr-section-summary-in' type='checkbox'  checked><label for='section-402416db-bb69-4346-9f26-c4c30ecd8965' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a9318b5f-0243-4043-a744-8ab26ec6a9a0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9318b5f-0243-4043-a744-8ab26ec6a9a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c75971e9-54a5-4744-9a22-269799b08b8f' class='xr-var-data-in' type='checkbox'><label for='data-c75971e9-54a5-4744-9a22-269799b08b8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-4ac8a7f7-3096-4a26-96ce-8f7d1cc8b2e5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4ac8a7f7-3096-4a26-96ce-8f7d1cc8b2e5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-4376d2b5-6025-4f2a-856e-7979fc5ca741' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4376d2b5-6025-4f2a-856e-7979fc5ca741' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba564324-f1a0-4fe7-b085-995552cbe6fb' class='xr-var-data-in' type='checkbox'><label for='data-ba564324-f1a0-4fe7-b085-995552cbe6fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-026b24c8-7376-43f3-860d-62afc1eb14b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-026b24c8-7376-43f3-860d-62afc1eb14b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68415de4-db27-4811-82bf-5e725bc45754' class='xr-var-data-in' type='checkbox'><label for='data-68415de4-db27-4811-82bf-5e725bc45754' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-fb1a3b7a-d1ee-4ab4-ae0a-fe02cbef4c99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb1a3b7a-d1ee-4ab4-ae0a-fe02cbef4c99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3969bf45-42f3-41cb-8d34-c99c447b5f93' class='xr-var-data-in' type='checkbox'><label for='data-3969bf45-42f3-41cb-8d34-c99c447b5f93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-13adc827-d982-4173-9438-67bb5786d932' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13adc827-d982-4173-9438-67bb5786d932' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04316be1-cc3d-4ab3-8a3a-44a5d9f5ed0d' class='xr-var-data-in' type='checkbox'><label for='data-04316be1-cc3d-4ab3-8a3a-44a5d9f5ed0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-e234a496-1e6c-4e88-9224-6f0200bdd60b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e234a496-1e6c-4e88-9224-6f0200bdd60b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91df5bf9-d03f-4ff7-a89a-c308ed562307' class='xr-var-data-in' type='checkbox'><label for='data-91df5bf9-d03f-4ff7-a89a-c308ed562307' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-397fb80e-17e9-41b0-9640-038d37063e65' class='xr-section-summary-in' type='checkbox'  ><label for='section-397fb80e-17e9-41b0-9640-038d37063e65' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6cff0dd4-37c5-4ba7-bd66-b47cb5cfd02d' class='xr-index-data-in' type='checkbox'/><label for='index-6cff0dd4-37c5-4ba7-bd66-b47cb5cfd02d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2a2f11b8-a0c6-481a-bb39-d28362a96a78' class='xr-section-summary-in' type='checkbox'  ><label for='section-2a2f11b8-a0c6-481a-bb39-d28362a96a78' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d6c646ec-7880-4687-a729-354908388a08' class='xr-index-data-in' type='checkbox'/><label for='index-d6c646ec-7880-4687-a729-354908388a08' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-722e4349-3a1c-4497-b300-76de03c71f86' class='xr-index-data-in' type='checkbox'/><label for='index-722e4349-3a1c-4497-b300-76de03c71f86' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2531061c-530d-4c2b-91dd-a5992ee18a24' class='xr-index-data-in' type='checkbox'/><label for='index-2531061c-530d-4c2b-91dd-a5992ee18a24' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bb41462f-ef2e-42bb-9975-38d92acae9cd' class='xr-index-data-in' type='checkbox'/><label for='index-bb41462f-ef2e-42bb-9975-38d92acae9cd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2d3624b9-e2ce-4cfa-97b6-569499d01cdf' class='xr-index-data-in' type='checkbox'/><label for='index-2d3624b9-e2ce-4cfa-97b6-569499d01cdf' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -1549,7 +1566,7 @@ <h2>What’s in a Dataset?<a class="headerlink" href="#what-s-in-a-dataset" titl
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-206da6b7-67d1-4349-9ab7-37a78266bf91' class='xr-section-summary-in' type='checkbox'  ><label for='section-206da6b7-67d1-4349-9ab7-37a78266bf91' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9e4bf970-b999-4876-a47a-90e7632474c9' class='xr-section-summary-in' type='checkbox'  ><label for='section-9e4bf970-b999-4876-a47a-90e7632474c9' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>You can save some typing by using the “attribute” or “dot” notation. This won’t
 work for variable names that clash with a built-in method name (like <code class="docutils literal notranslate"><span class="pre">mean</span></code> for
@@ -1982,7 +1999,7 @@ <h2>What’s in a Dataset?<a class="headerlink" href="#what-s-in-a-dataset" titl
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d8e00c17-4fdd-458e-9fb1-fce1abd76790' class='xr-array-in' type='checkbox' checked><label for='section-d8e00c17-4fdd-458e-9fb1-fce1abd76790' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6f23ae21-24c2-473d-a648-6c57ad142202' class='xr-array-in' type='checkbox' checked><label for='section-6f23ae21-24c2-473d-a648-6c57ad142202' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -2022,26 +2039,26 @@ <h2>What’s in a Dataset?<a class="headerlink" href="#what-s-in-a-dataset" titl
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-877951b1-0747-4b18-90ea-f30c61fa58a8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-877951b1-0747-4b18-90ea-f30c61fa58a8' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-1f17b0fa-e010-48fe-ace9-1a42bb806748' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f17b0fa-e010-48fe-ace9-1a42bb806748' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-632fbd85-8480-48c1-8bfb-de1f3e9469b8' class='xr-var-data-in' type='checkbox'><label for='data-632fbd85-8480-48c1-8bfb-de1f3e9469b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6553cced-5189-44e4-a27e-900c75837db2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6553cced-5189-44e4-a27e-900c75837db2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-4e221838-cec0-4c40-bffe-15ccb7a6f840' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e221838-cec0-4c40-bffe-15ccb7a6f840' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93c573f9-9fb2-4ef0-b69c-f401ac8c7109' class='xr-var-data-in' type='checkbox'><label for='data-93c573f9-9fb2-4ef0-b69c-f401ac8c7109' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-5120d481-4969-4fa9-abe7-cb0f3cd12ae6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5120d481-4969-4fa9-abe7-cb0f3cd12ae6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c98b7b86-56a5-4232-9337-428b021edcdd' class='xr-var-data-in' type='checkbox'><label for='data-c98b7b86-56a5-4232-9337-428b021edcdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-d82eba88-5f9e-4870-9aed-6be8389cfc6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d82eba88-5f9e-4870-9aed-6be8389cfc6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f9e4657-706d-4ead-a279-efbd7c52045a' class='xr-var-data-in' type='checkbox'><label for='data-1f9e4657-706d-4ead-a279-efbd7c52045a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-064520ee-ea0c-47ff-9b28-82460c8805ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-064520ee-ea0c-47ff-9b28-82460c8805ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddec71e6-6a52-4c89-86b6-fef7e858eeac' class='xr-var-data-in' type='checkbox'><label for='data-ddec71e6-6a52-4c89-86b6-fef7e858eeac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-d589da45-48f5-4732-8e71-69d6a66b4c13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d589da45-48f5-4732-8e71-69d6a66b4c13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd573e48-9684-4a63-8c98-4bef3689c7f9' class='xr-var-data-in' type='checkbox'><label for='data-dd573e48-9684-4a63-8c98-4bef3689c7f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34fad818-b79a-4119-a8bb-b8d8dac03df0' class='xr-section-summary-in' type='checkbox'  ><label for='section-34fad818-b79a-4119-a8bb-b8d8dac03df0' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a763be33-917e-440b-ba28-48ff90e71d9c' class='xr-index-data-in' type='checkbox'/><label for='index-a763be33-917e-440b-ba28-48ff90e71d9c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa8be79b-ea1d-4976-aace-5f5f089f4ca9' class='xr-section-summary-in' type='checkbox'  ><label for='section-fa8be79b-ea1d-4976-aace-5f5f089f4ca9' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8dbcb5e7-47bf-4d5d-84d7-32cdebb56d15' class='xr-index-data-in' type='checkbox'/><label for='index-8dbcb5e7-47bf-4d5d-84d7-32cdebb56d15' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b30a6656-9f41-45c1-b00b-8dc111a567f3' class='xr-index-data-in' type='checkbox'/><label for='index-b30a6656-9f41-45c1-b00b-8dc111a567f3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-55f7b6ba-b932-44b8-aef8-46eeecc76e69' class='xr-index-data-in' type='checkbox'/><label for='index-55f7b6ba-b932-44b8-aef8-46eeecc76e69' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f5399010-d0f6-4c54-8c7d-2c909bfa8d38' class='xr-index-data-in' type='checkbox'/><label for='index-f5399010-d0f6-4c54-8c7d-2c909bfa8d38' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2a76dbdd-5647-4830-8b17-cfdc237faffc' class='xr-index-data-in' type='checkbox'/><label for='index-2a76dbdd-5647-4830-8b17-cfdc237faffc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -2052,14 +2069,14 @@ <h2>What’s in a Dataset?<a class="headerlink" href="#what-s-in-a-dataset" titl
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-45312ba9-712e-4bb2-a528-41104623ef0d' class='xr-section-summary-in' type='checkbox'  ><label for='section-45312ba9-712e-4bb2-a528-41104623ef0d' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-61c7db21-c3a8-43f5-9361-ab0fa2b32a91' class='xr-section-summary-in' type='checkbox'  ><label for='section-61c7db21-c3a8-43f5-9361-ab0fa2b32a91' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="what-s-in-a-dataarray">
-<h2>What’s in a DataArray?<a class="headerlink" href="#what-s-in-a-dataarray" title="Permalink to this headline">#</a></h2>
+<h2>What’s in a DataArray?<a class="headerlink" href="#what-s-in-a-dataarray" title="Permalink to this heading">#</a></h2>
 <p><em>data + (a lot of) metadata</em></p>
 <section id="named-dimensions">
-<h3>Named dimensions<a class="headerlink" href="#named-dimensions" title="Permalink to this headline">#</a></h3>
+<h3>Named dimensions<a class="headerlink" href="#named-dimensions" title="Permalink to this heading">#</a></h3>
 <p><code class="docutils literal notranslate"><span class="pre">.dims</span></code> correspond to the axes of your data.</p>
 <p>In this case we have 2 spatial dimensions (<code class="docutils literal notranslate"><span class="pre">latitude</span></code> and <code class="docutils literal notranslate"><span class="pre">longitude</span></code> are store with shorthand names <code class="docutils literal notranslate"><span class="pre">lat</span></code> and <code class="docutils literal notranslate"><span class="pre">lon</span></code>) and one temporal dimension (<code class="docutils literal notranslate"><span class="pre">time</span></code>).</p>
 <div class="cell docutils container">
@@ -2076,7 +2093,7 @@ <h3>Named dimensions<a class="headerlink" href="#named-dimensions" title="Permal
 </div>
 </section>
 <section id="coordinate-variables">
-<h3>Coordinate variables<a class="headerlink" href="#coordinate-variables" title="Permalink to this headline">#</a></h3>
+<h3>Coordinate variables<a class="headerlink" href="#coordinate-variables" title="Permalink to this heading">#</a></h3>
 <p><code class="docutils literal notranslate"><span class="pre">.coords</span></code> is a simple <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/data-structures.html#coordinates">data container</a>
 for coordinate variables.</p>
 <p>Here we see the actual timestamps and spatial positions of our air temperature data:</p>
@@ -2480,23 +2497,23 @@ <h3>Coordinate variables<a class="headerlink" href="#coordinate-variables" title
     standard_name:  longitude
     long_name:      Longitude
     units:          degrees_east
-    axis:           X</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lon'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4b6547ea-15c4-47c1-96ad-f80b83100e43' class='xr-array-in' type='checkbox' checked><label for='section-4b6547ea-15c4-47c1-96ad-f80b83100e43' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>200.0 202.5 205.0 207.5 210.0 212.5 ... 320.0 322.5 325.0 327.5 330.0</span></div><div class='xr-array-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+    axis:           X</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lon'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5cc49bbe-d69e-4ff0-a43d-a30831d37274' class='xr-array-in' type='checkbox' checked><label for='section-5cc49bbe-d69e-4ff0-a43d-a30831d37274' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>200.0 202.5 205.0 207.5 210.0 212.5 ... 320.0 322.5 325.0 327.5 330.0</span></div><div class='xr-array-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-5bc6427e-0378-404f-967a-e2b55d3d6b36' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5bc6427e-0378-404f-967a-e2b55d3d6b36' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-0890762c-7c34-497b-a6b5-a24a9a4e2179' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0890762c-7c34-497b-a6b5-a24a9a4e2179' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6d4092f-0e8d-4732-897b-a07a0021f155' class='xr-var-data-in' type='checkbox'><label for='data-d6d4092f-0e8d-4732-897b-a07a0021f155' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-05a43376-8519-4d18-b6c4-5a426b893b89' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05a43376-8519-4d18-b6c4-5a426b893b89' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-bd98b555-2278-4756-bd21-4d888ad207bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd98b555-2278-4756-bd21-4d888ad207bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a6cfa1a-222d-41ac-b836-7a19c65c32b5' class='xr-var-data-in' type='checkbox'><label for='data-4a6cfa1a-222d-41ac-b836-7a19c65c32b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63a8228b-e057-4ed3-b380-0d5d8a7a309c' class='xr-section-summary-in' type='checkbox'  ><label for='section-63a8228b-e057-4ed3-b380-0d5d8a7a309c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f5fed8a3-d7ee-4df1-9bc4-4beb77ab6b2d' class='xr-index-data-in' type='checkbox'/><label for='index-f5fed8a3-d7ee-4df1-9bc4-4beb77ab6b2d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f9ca147f-d7c3-4c68-950e-014b1816d631' class='xr-section-summary-in' type='checkbox'  ><label for='section-f9ca147f-d7c3-4c68-950e-014b1816d631' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-da5d0261-1575-408e-8250-4cf48253d502' class='xr-index-data-in' type='checkbox'/><label for='index-da5d0261-1575-408e-8250-4cf48253d502' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7a05124f-e7e9-4ffe-a9c3-cb1ee6c6f14c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a05124f-e7e9-4ffe-a9c3-cb1ee6c6f14c' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-691c70ee-33be-4365-9b24-c5a317d249a3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-691c70ee-33be-4365-9b24-c5a317d249a3' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2882,30 +2899,30 @@ <h3>Coordinate variables<a class="headerlink" href="#coordinate-variables" title
     standard_name:  longitude
     long_name:      Longitude
     units:          degrees_east
-    axis:           X</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lon'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a75d8e5a-2713-4e65-8383-a27c4e49ead6' class='xr-array-in' type='checkbox' checked><label for='section-a75d8e5a-2713-4e65-8383-a27c4e49ead6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>200.0 202.5 205.0 207.5 210.0 212.5 ... 320.0 322.5 325.0 327.5 330.0</span></div><div class='xr-array-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+    axis:           X</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lon'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d01fb375-2dd6-440e-84f2-169c51200bfe' class='xr-array-in' type='checkbox' checked><label for='section-d01fb375-2dd6-440e-84f2-169c51200bfe' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>200.0 202.5 205.0 207.5 210.0 212.5 ... 320.0 322.5 325.0 327.5 330.0</span></div><div class='xr-array-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6e1c492c-dc85-4f46-ae94-40b86a49c842' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6e1c492c-dc85-4f46-ae94-40b86a49c842' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-e29139ea-849b-4129-9aa3-e13722f4c4bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e29139ea-849b-4129-9aa3-e13722f4c4bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b65ded0a-d5dd-4b87-be47-591cc656fddb' class='xr-var-data-in' type='checkbox'><label for='data-b65ded0a-d5dd-4b87-be47-591cc656fddb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-10851b02-a9b9-43e8-9c77-9101b26f0716' class='xr-section-summary-in' type='checkbox'  checked><label for='section-10851b02-a9b9-43e8-9c77-9101b26f0716' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-7b237e61-3fce-491b-9207-6d3fc87dd1c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b237e61-3fce-491b-9207-6d3fc87dd1c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-008b8605-0b37-4240-bd00-925d32f7000f' class='xr-var-data-in' type='checkbox'><label for='data-008b8605-0b37-4240-bd00-925d32f7000f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52d3a508-e332-413f-98eb-55fb6f24e342' class='xr-section-summary-in' type='checkbox'  ><label for='section-52d3a508-e332-413f-98eb-55fb6f24e342' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8fa1da12-b2a8-4c9c-b353-6ef55c44c356' class='xr-index-data-in' type='checkbox'/><label for='index-8fa1da12-b2a8-4c9c-b353-6ef55c44c356' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-12a91f49-4f50-4c60-9dc6-b4f14851bcb9' class='xr-section-summary-in' type='checkbox'  ><label for='section-12a91f49-4f50-4c60-9dc6-b4f14851bcb9' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c4f704eb-e8cc-45d2-b0f9-521a2c5b05c2' class='xr-index-data-in' type='checkbox'/><label for='index-c4f704eb-e8cc-45d2-b0f9-521a2c5b05c2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9f2133cc-47e1-4704-8bab-2fb9fe61ae9f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9f2133cc-47e1-4704-8bab-2fb9fe61ae9f' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9884b713-2223-48fe-bfb5-b4adc49c1e02' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9884b713-2223-48fe-bfb5-b4adc49c1e02' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>It is useful to think of the values in these coordinate variables as axis
 “labels” such as “tick labels” in a figure. These are coordinate locations on a
 grid at which you have data.</p>
 </section>
 <section id="arbitrary-attributes">
-<h3>Arbitrary attributes<a class="headerlink" href="#arbitrary-attributes" title="Permalink to this headline">#</a></h3>
+<h3>Arbitrary attributes<a class="headerlink" href="#arbitrary-attributes" title="Permalink to this heading">#</a></h3>
 <p><code class="docutils literal notranslate"><span class="pre">.attrs</span></code> is a dictionary that can contain arbitrary Python objects (strings, lists, integers, dictionaries, etc.) Your only
 limitation is that some attributes may not be writeable to certain file formats.</p>
 <div class="cell docutils container">
@@ -3383,7 +3400,7 @@ <h3>Arbitrary attributes<a class="headerlink" href="#arbitrary-attributes" title
     statistic:       Individual Obs
     parent_stat:     Other
     actual_range:    [185.16 322.1 ]
-    who_is_awesome:  xarray</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6043faa2-378d-40e5-a94f-b3df07b38953' class='xr-array-in' type='checkbox' checked><label for='section-6043faa2-378d-40e5-a94f-b3df07b38953' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    who_is_awesome:  xarray</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-03bbf6d1-f137-47e5-aa1c-13dc9594eba8' class='xr-array-in' type='checkbox' checked><label for='section-03bbf6d1-f137-47e5-aa1c-13dc9594eba8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 297.4 297.2 296.5 296.2 295.7</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -3423,26 +3440,26 @@ <h3>Arbitrary attributes<a class="headerlink" href="#arbitrary-attributes" title
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9c80e55c-f123-4062-bd70-96537bd28782' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9c80e55c-f123-4062-bd70-96537bd28782' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-9d3d58a2-c77c-4220-90b7-8293988890c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d3d58a2-c77c-4220-90b7-8293988890c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9ddd3ca-251c-48e5-aff7-67a255a7d016' class='xr-var-data-in' type='checkbox'><label for='data-c9ddd3ca-251c-48e5-aff7-67a255a7d016' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+         295.69   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-140e66a4-d8c6-4f4c-8a38-e89b9026b874' class='xr-section-summary-in' type='checkbox'  checked><label for='section-140e66a4-d8c6-4f4c-8a38-e89b9026b874' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-c5656e45-4acd-445e-b196-43eb3fbce54f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5656e45-4acd-445e-b196-43eb3fbce54f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cbc470c-a08c-4883-b565-5d793f24c5cc' class='xr-var-data-in' type='checkbox'><label for='data-9cbc470c-a08c-4883-b565-5d793f24c5cc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-35c13c54-8658-4a2f-8e76-c170450b1a87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35c13c54-8658-4a2f-8e76-c170450b1a87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b18f72ca-a97a-4249-b5b1-bf17dea456fd' class='xr-var-data-in' type='checkbox'><label for='data-b18f72ca-a97a-4249-b5b1-bf17dea456fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-7961814c-4b19-4789-83b9-f6dfe201722f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7961814c-4b19-4789-83b9-f6dfe201722f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d3ccdd4-3e63-4526-a478-284cf07c9b84' class='xr-var-data-in' type='checkbox'><label for='data-6d3ccdd4-3e63-4526-a478-284cf07c9b84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-ccdc5eeb-8311-47ca-bf28-f3c1334fe681' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccdc5eeb-8311-47ca-bf28-f3c1334fe681' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1213506-ec17-4762-9384-71641293feca' class='xr-var-data-in' type='checkbox'><label for='data-a1213506-ec17-4762-9384-71641293feca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-69ad2c02-1749-4ebb-af9d-de4f0c8becaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-69ad2c02-1749-4ebb-af9d-de4f0c8becaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c08b772-633d-4e26-864f-6a99af1620b7' class='xr-var-data-in' type='checkbox'><label for='data-8c08b772-633d-4e26-864f-6a99af1620b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f4b2c28-ed23-494d-9c65-b50972d4202a' class='xr-section-summary-in' type='checkbox'  ><label for='section-4f4b2c28-ed23-494d-9c65-b50972d4202a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5844aaac-8e68-4c07-bcfc-97bf0f8ec99d' class='xr-index-data-in' type='checkbox'/><label for='index-5844aaac-8e68-4c07-bcfc-97bf0f8ec99d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-48f56b42-2239-4a27-b55f-331787855b08' class='xr-section-summary-in' type='checkbox'  ><label for='section-48f56b42-2239-4a27-b55f-331787855b08' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-14142417-f3fa-4691-94b4-65fdafc9a728' class='xr-index-data-in' type='checkbox'/><label for='index-14142417-f3fa-4691-94b4-65fdafc9a728' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-846edd65-d114-4dc1-afa2-720975913294' class='xr-index-data-in' type='checkbox'/><label for='index-846edd65-d114-4dc1-afa2-720975913294' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2e8594f3-ef44-43fb-a8ae-d6c8d1b67c52' class='xr-index-data-in' type='checkbox'/><label for='index-2e8594f3-ef44-43fb-a8ae-d6c8d1b67c52' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2633e14d-913f-4c04-b85f-ce7f3e82bf3f' class='xr-index-data-in' type='checkbox'/><label for='index-2633e14d-913f-4c04-b85f-ce7f3e82bf3f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aadfe61f-c5b2-46fc-b705-a8da00766cc9' class='xr-index-data-in' type='checkbox'/><label for='index-aadfe61f-c5b2-46fc-b705-a8da00766cc9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -3453,11 +3470,11 @@ <h3>Arbitrary attributes<a class="headerlink" href="#arbitrary-attributes" title
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2510cc9b-b54a-426e-8bf9-6e417b0585d3' class='xr-section-summary-in' type='checkbox'  ><label for='section-2510cc9b-b54a-426e-8bf9-6e417b0585d3' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a1321059-ddaa-4398-92c4-bc3b71ce1b41' class='xr-section-summary-in' type='checkbox'  ><label for='section-a1321059-ddaa-4398-92c4-bc3b71ce1b41' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="underlying-data">
-<h3>Underlying data<a class="headerlink" href="#underlying-data" title="Permalink to this headline">#</a></h3>
+<h3>Underlying data<a class="headerlink" href="#underlying-data" title="Permalink to this heading">#</a></h3>
 <p><code class="docutils literal notranslate"><span class="pre">.data</span></code> contains the <a class="reference external" href="https://numpy.org">numpy array</a> storing air temperature values.</p>
 <a class="reference internal image-reference" href="https://raw.githubusercontent.com/numpy/numpy/623bc1fae1d47df24e7f1e29321d0c0ba2771ce0/branding/logo/primary/numpylogo.svg"><img alt="https://raw.githubusercontent.com/numpy/numpy/623bc1fae1d47df24e7f1e29321d0c0ba2771ce0/branding/logo/primary/numpylogo.svg" src="https://raw.githubusercontent.com/numpy/numpy/623bc1fae1d47df24e7f1e29321d0c0ba2771ce0/branding/logo/primary/numpylogo.svg" width="25%" /></a>
 <p>Xarray structures wrap underlying simpler array-like data structures. This part of Xarray is quite extensible allowing for distributed array, GPU arrays, sparse arrays, arrays with units etc. We’ll  briefly look at this later in this tutorial.</p>
@@ -3572,7 +3589,7 @@ <h3>Underlying data<a class="headerlink" href="#underlying-data" title="Permalin
 </div>
 </section>
 <section id="review">
-<h3>Review<a class="headerlink" href="#review" title="Permalink to this headline">#</a></h3>
+<h3>Review<a class="headerlink" href="#review" title="Permalink to this heading">#</a></h3>
 <p>Xarray provides two main data structures:</p>
 <ol class="arabic simple">
 <li><p><a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/data-structures.html#dataarray"><code class="docutils literal notranslate"><span class="pre">DataArrays</span></code></a> that wrap underlying data containers (e.g. numpy arrays) and contain associated metadata</p></li>
@@ -3582,10 +3599,10 @@ <h3>Review<a class="headerlink" href="#review" title="Permalink to this headline
 </section>
 <hr class="docutils" />
 <section id="why-xarray">
-<h2>Why Xarray?<a class="headerlink" href="#why-xarray" title="Permalink to this headline">#</a></h2>
+<h2>Why Xarray?<a class="headerlink" href="#why-xarray" title="Permalink to this heading">#</a></h2>
 <p>Metadata provides context and provides code that is more legible. This reduces the likelihood of errors from typos and makes analysis more intuitive and fun!</p>
 <section id="analysis-without-xarray-x">
-<h3>Analysis without xarray: <code class="docutils literal notranslate"><span class="pre">X(</span></code><a class="headerlink" href="#analysis-without-xarray-x" title="Permalink to this headline">#</a></h3>
+<h3>Analysis without xarray: <code class="docutils literal notranslate"><span class="pre">X(</span></code><a class="headerlink" href="#analysis-without-xarray-x" title="Permalink to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># plot the first timestep</span>
@@ -3604,7 +3621,7 @@ <h3>Analysis without xarray: <code class="docutils literal notranslate"><span cl
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/585ccbfdcb8735bbfa449434bedc061a0017490a77133a17dae0bd91d17f1834.png" src="../_images/585ccbfdcb8735bbfa449434bedc061a0017490a77133a17dae0bd91d17f1834.png" />
+<img alt="../_images/9c909f839c75f6cb6b3a1ba9256a1ce20d61af5b6c4662f13feac326ea58a301.png" src="../_images/9c909f839c75f6cb6b3a1ba9256a1ce20d61af5b6c4662f13feac326ea58a301.png" />
 </div>
 </div>
 <div class="cell docutils container">
@@ -3633,7 +3650,7 @@ <h3>Analysis without xarray: <code class="docutils literal notranslate"><span cl
 </div>
 </section>
 <section id="analysis-with-xarray">
-<h3>Analysis with xarray <code class="docutils literal notranslate"><span class="pre">=)</span></code><a class="headerlink" href="#analysis-with-xarray" title="Permalink to this headline">#</a></h3>
+<h3>Analysis with xarray <code class="docutils literal notranslate"><span class="pre">=)</span></code><a class="headerlink" href="#analysis-with-xarray" title="Permalink to this heading">#</a></h3>
 <p>How readable is this code?</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3642,7 +3659,7 @@ <h3>Analysis with xarray <code class="docutils literal notranslate"><span class=
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/a4af2214235e654c16a5cfc2a2f06d1d1c0a8f28f2634bfcd6a9c1ceb7941f8e.png" src="../_images/a4af2214235e654c16a5cfc2a2f06d1d1c0a8f28f2634bfcd6a9c1ceb7941f8e.png" />
+<img alt="../_images/52aee6f13c831276ea4623b208480dd928089ffc61b4d8f5c1604b38f398b54a.png" src="../_images/52aee6f13c831276ea4623b208480dd928089ffc61b4d8f5c1604b38f398b54a.png" />
 </div>
 </div>
 <p>Use dimension names instead of axis numbers</p>
@@ -3653,17 +3670,17 @@ <h3>Analysis with xarray <code class="docutils literal notranslate"><span class=
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7fbcd8729fd0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.QuadMesh at 0x7f96a8f37150&gt;
 </pre></div>
 </div>
-<img alt="../_images/b75e1d1438ac7d8a27c5010237d3cd62057e21cf216ce68a6898c0aa26832e52.png" src="../_images/b75e1d1438ac7d8a27c5010237d3cd62057e21cf216ce68a6898c0aa26832e52.png" />
+<img alt="../_images/cb37ccf6e5c2b0d2549145b94502e3a43c355cd7a06e086da98bad1da72a04ae.png" src="../_images/cb37ccf6e5c2b0d2549145b94502e3a43c355cd7a06e086da98bad1da72a04ae.png" />
 </div>
 </div>
 </section>
 </section>
 <hr class="docutils" />
 <section id="extracting-data-or-indexing">
-<h2>Extracting data or “indexing”<a class="headerlink" href="#extracting-data-or-indexing" title="Permalink to this headline">#</a></h2>
+<h2>Extracting data or “indexing”<a class="headerlink" href="#extracting-data-or-indexing" title="Permalink to this heading">#</a></h2>
 <p>Xarray supports</p>
 <ul class="simple">
 <li><p>label-based indexing using <code class="docutils literal notranslate"><span class="pre">.sel</span></code></p></li>
@@ -3671,7 +3688,7 @@ <h2>Extracting data or “indexing”<a class="headerlink" href="#extracting-dat
 </ul>
 <p>See the <a class="reference external" href="https://docs.xarray.dev/en/stable/indexing.html">user guide</a> for more.</p>
 <section id="label-based-indexing">
-<h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title="Permalink to this headline">#</a></h3>
+<h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title="Permalink to this heading">#</a></h3>
 <p>Xarray inherits its label-based indexing rules from pandas; this means great
 support for dates and times!</p>
 <div class="cell docutils container">
@@ -4058,17 +4075,17 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1706b50f-977f-49e4-91b8-928461f5e93f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1706b50f-977f-49e4-91b8-928461f5e93f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f07fb53a-a521-4671-a5c0-6c35dd894b02' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f07fb53a-a521-4671-a5c0-6c35dd894b02' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-14b31646-9832-4924-b3b2-7b9b1bbc5f8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14b31646-9832-4924-b3b2-7b9b1bbc5f8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c64caa59-c7e9-4ab1-bcdf-28a44a8c3bba' class='xr-var-data-in' type='checkbox'><label for='data-c64caa59-c7e9-4ab1-bcdf-28a44a8c3bba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-451dd94a-595e-49b4-b691-ea83215c5f21' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-451dd94a-595e-49b4-b691-ea83215c5f21' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-cca68f48-2b74-488d-b070-d9737d4ce13d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cca68f48-2b74-488d-b070-d9737d4ce13d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-8e8db875-06a6-417e-8ede-dfdf97e24f19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e8db875-06a6-417e-8ede-dfdf97e24f19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b053aad4-7c87-4acc-a7e7-b5cb7f614d89' class='xr-var-data-in' type='checkbox'><label for='data-b053aad4-7c87-4acc-a7e7-b5cb7f614d89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-c6b0b235-471f-40bd-8794-1c6bc3a96cd6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6b0b235-471f-40bd-8794-1c6bc3a96cd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3dc5519-7b8a-443d-acea-138296cd4985' class='xr-var-data-in' type='checkbox'><label for='data-d3dc5519-7b8a-443d-acea-138296cd4985' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-7f9218b1-8a4f-41a4-8e7e-90e5613f867f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f9218b1-8a4f-41a4-8e7e-90e5613f867f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a1a65d3b-969d-4b07-89e6-232eff65c93c' class='xr-var-data-in' type='checkbox'><label for='data-a1a65d3b-969d-4b07-89e6-232eff65c93c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-02d17d52-af6c-449b-94b8-903be8711f2e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02d17d52-af6c-449b-94b8-903be8711f2e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a9b97892-c96e-44a3-b8e5-f782ba8c73ad' class='xr-var-data-in' type='checkbox'><label for='data-a9b97892-c96e-44a3-b8e5-f782ba8c73ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-0e418556-38b0-45fe-b7b3-b86df0b8cff2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e418556-38b0-45fe-b7b3-b86df0b8cff2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0660fefc-77d3-455c-b5ea-7d14144b4d44' class='xr-var-data-in' type='checkbox'><label for='data-0660fefc-77d3-455c-b5ea-7d14144b4d44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee0a096f-6348-41c5-a4f6-c4aa065c1c83' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ee0a096f-6348-41c5-a4f6-c4aa065c1c83' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-cb8ae3a7-6d07-4063-b4e6-681bbb502cb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb8ae3a7-6d07-4063-b4e6-681bbb502cb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2619b57d-4941-45fa-98bd-af2bdfff7e75' class='xr-var-data-in' type='checkbox'><label for='data-2619b57d-4941-45fa-98bd-af2bdfff7e75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc8694c9-8366-4106-8f1a-24646c93683e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc8694c9-8366-4106-8f1a-24646c93683e' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-48efb42b-e195-4550-be04-98c3fc4dbe72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48efb42b-e195-4550-be04-98c3fc4dbe72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f22ac34b-743a-48dc-a2a9-18786be20489' class='xr-var-data-in' type='checkbox'><label for='data-f22ac34b-743a-48dc-a2a9-18786be20489' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -4108,16 +4125,16 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8397499-e3e5-477f-82b1-6407e5d06267' class='xr-section-summary-in' type='checkbox'  ><label for='section-b8397499-e3e5-477f-82b1-6407e5d06267' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3336359b-df63-4727-8dbe-90dd168e8fd9' class='xr-index-data-in' type='checkbox'/><label for='index-3336359b-df63-4727-8dbe-90dd168e8fd9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0233ccae-bc12-4c9f-83d7-3855c955c675' class='xr-section-summary-in' type='checkbox'  ><label for='section-0233ccae-bc12-4c9f-83d7-3855c955c675' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7bc202ee-0326-4603-9a52-b8ff3de889ac' class='xr-index-data-in' type='checkbox'/><label for='index-7bc202ee-0326-4603-9a52-b8ff3de889ac' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0302dd72-c8bf-469f-b2d2-813f2f9f4b0f' class='xr-index-data-in' type='checkbox'/><label for='index-0302dd72-c8bf-469f-b2d2-813f2f9f4b0f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-99b8404e-b537-4d5b-a1cd-f77ce65ad1bc' class='xr-index-data-in' type='checkbox'/><label for='index-99b8404e-b537-4d5b-a1cd-f77ce65ad1bc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c41f17b2-52b7-4f14-95f5-a8b5beb78d35' class='xr-index-data-in' type='checkbox'/><label for='index-c41f17b2-52b7-4f14-95f5-a8b5beb78d35' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-12b0c77b-9c34-4ebd-8ddc-e9404c13460d' class='xr-index-data-in' type='checkbox'/><label for='index-12b0c77b-9c34-4ebd-8ddc-e9404c13460d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -4128,7 +4145,7 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e6cced71-4285-4ddb-9e06-b919d55ba69d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e6cced71-4285-4ddb-9e06-b919d55ba69d' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1cb4af5e-50b1-499a-b8b8-930a03e21292' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1cb4af5e-50b1-499a-b8b8-930a03e21292' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -4515,14 +4532,14 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a1a3bf7d-2f9e-4e7b-a8f8-f8b93120caa3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a1a3bf7d-2f9e-4e7b-a8f8-f8b93120caa3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 124</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8ea7c26e-fef8-47b8-84a8-e3031a98c0ac' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8ea7c26e-fef8-47b8-84a8-e3031a98c0ac' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-3335ed84-7025-4305-a356-f79e5ead77ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3335ed84-7025-4305-a356-f79e5ead77ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b24ea8ae-61f7-4101-aeee-55af3cb6c352' class='xr-var-data-in' type='checkbox'><label for='data-b24ea8ae-61f7-4101-aeee-55af3cb6c352' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ecdb525c-adf0-40c1-b64d-cd6c2b5a9447' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ecdb525c-adf0-40c1-b64d-cd6c2b5a9447' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 124</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-33d5e6f1-cb08-4571-a6f2-c6d930fff039' class='xr-section-summary-in' type='checkbox'  checked><label for='section-33d5e6f1-cb08-4571-a6f2-c6d930fff039' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-329dd776-6cc3-4530-ae4e-183a5f2beeb2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-329dd776-6cc3-4530-ae4e-183a5f2beeb2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7d7760e-6298-4923-9ba1-a6499137f9e7' class='xr-var-data-in' type='checkbox'><label for='data-f7d7760e-6298-4923-9ba1-a6499137f9e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-5c0897e3-9740-486f-b315-d86b5cf05d34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c0897e3-9740-486f-b315-d86b5cf05d34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46586bf9-54d5-4618-ac1c-2fd1c592272d' class='xr-var-data-in' type='checkbox'><label for='data-46586bf9-54d5-4618-ac1c-2fd1c592272d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-fcdc3ed0-9a45-4287-85be-77d519de320f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcdc3ed0-9a45-4287-85be-77d519de320f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c148b0c-b5ad-44d9-bf41-6aeda43f4c0f' class='xr-var-data-in' type='checkbox'><label for='data-8c148b0c-b5ad-44d9-bf41-6aeda43f4c0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-05-01 ... 2013-05-31T18:00:00</div><input id='attrs-a6099e9f-7a6c-4212-999d-4e6cdf082b7d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a6099e9f-7a6c-4212-999d-4e6cdf082b7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6765d8ee-eff1-4ddc-9e94-e47ba5061b20' class='xr-var-data-in' type='checkbox'><label for='data-6765d8ee-eff1-4ddc-9e94-e47ba5061b20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-05-01T00:00:00.000000000&#x27;, &#x27;2013-05-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-05-01 ... 2013-05-31T18:00:00</div><input id='attrs-3d53ee6e-2b5b-4c36-8ae5-1f51d64f8959' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d53ee6e-2b5b-4c36-8ae5-1f51d64f8959' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a499528-2bd4-4a74-9ae6-7a3b9ac63b6c' class='xr-var-data-in' type='checkbox'><label for='data-0a499528-2bd4-4a74-9ae6-7a3b9ac63b6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-05-01T00:00:00.000000000&#x27;, &#x27;2013-05-01T06:00:00.000000000&#x27;,
        &#x27;2013-05-01T12:00:00.000000000&#x27;, &#x27;2013-05-01T18:00:00.000000000&#x27;,
        &#x27;2013-05-02T00:00:00.000000000&#x27;, &#x27;2013-05-02T06:00:00.000000000&#x27;,
        &#x27;2013-05-02T12:00:00.000000000&#x27;, &#x27;2013-05-02T18:00:00.000000000&#x27;,
@@ -4584,7 +4601,7 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
        &#x27;2013-05-30T12:00:00.000000000&#x27;, &#x27;2013-05-30T18:00:00.000000000&#x27;,
        &#x27;2013-05-31T00:00:00.000000000&#x27;, &#x27;2013-05-31T06:00:00.000000000&#x27;,
        &#x27;2013-05-31T12:00:00.000000000&#x27;, &#x27;2013-05-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e38eb74d-92c7-4843-9696-d36420ae5bb3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e38eb74d-92c7-4843-9696-d36420ae5bb3' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>259.2 259.3 259.1 ... 297.6 297.5</div><input id='attrs-ef1764d3-913b-4b82-8bfa-723d1e83db29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ef1764d3-913b-4b82-8bfa-723d1e83db29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-770054ff-db34-4fbe-a5d5-dd3869e4e850' class='xr-var-data-in' type='checkbox'><label for='data-770054ff-db34-4fbe-a5d5-dd3869e4e850' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[259.19998, 259.29   , 259.1    , ..., 251.39   , 252.59999,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d86f1498-c555-4fb0-aa62-75a370d6b3f0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d86f1498-c555-4fb0-aa62-75a370d6b3f0' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>259.2 259.3 259.1 ... 297.6 297.5</div><input id='attrs-9f5d3fa6-0d45-46e6-b8c2-303e619b2f19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f5d3fa6-0d45-46e6-b8c2-303e619b2f19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d5d16ad-e63e-4998-a6ce-50aa7d28521c' class='xr-var-data-in' type='checkbox'><label for='data-6d5d16ad-e63e-4998-a6ce-50aa7d28521c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[259.19998, 259.29   , 259.1    , ..., 251.39   , 252.59999,
          254.29999],
         [257.1    , 257.1    , 256.8    , ..., 250.     , 251.89   ,
          254.7    ],
@@ -4624,16 +4641,16 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
         [298.79   , 298.6    , 297.69998, ..., 298.     , 297.19998,
          296.4    ],
         [298.9    , 298.9    , 298.29   , ..., 298.19998, 297.6    ,
-         297.5    ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1a055664-f441-4b5f-ab48-f0097aa4bb8e' class='xr-section-summary-in' type='checkbox'  ><label for='section-1a055664-f441-4b5f-ab48-f0097aa4bb8e' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bfcf7818-cd80-4cf0-9613-3d2cb550ec16' class='xr-index-data-in' type='checkbox'/><label for='index-bfcf7818-cd80-4cf0-9613-3d2cb550ec16' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         297.5    ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b462ba59-7f06-4a90-9f70-747679d74e4d' class='xr-section-summary-in' type='checkbox'  ><label for='section-b462ba59-7f06-4a90-9f70-747679d74e4d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-db309745-b822-4761-a831-da18de9499f0' class='xr-index-data-in' type='checkbox'/><label for='index-db309745-b822-4761-a831-da18de9499f0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bcd9822f-c5c3-463c-b5fe-f49368c31c29' class='xr-index-data-in' type='checkbox'/><label for='index-bcd9822f-c5c3-463c-b5fe-f49368c31c29' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4d41860e-d491-4d80-823c-4c8e25adc577' class='xr-index-data-in' type='checkbox'/><label for='index-4d41860e-d491-4d80-823c-4c8e25adc577' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6810570e-5a7b-4346-92f5-2799cba87c02' class='xr-index-data-in' type='checkbox'/><label for='index-6810570e-5a7b-4346-92f5-2799cba87c02' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-05-01 00:00:00&#x27;, &#x27;2013-05-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ed0e6787-82c8-444c-9304-44ae3b5012a9' class='xr-index-data-in' type='checkbox'/><label for='index-ed0e6787-82c8-444c-9304-44ae3b5012a9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-05-01 00:00:00&#x27;, &#x27;2013-05-01 06:00:00&#x27;,
                &#x27;2013-05-01 12:00:00&#x27;, &#x27;2013-05-01 18:00:00&#x27;,
                &#x27;2013-05-02 00:00:00&#x27;, &#x27;2013-05-02 06:00:00&#x27;,
                &#x27;2013-05-02 12:00:00&#x27;, &#x27;2013-05-02 18:00:00&#x27;,
@@ -4644,7 +4661,7 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
                &#x27;2013-05-30 12:00:00&#x27;, &#x27;2013-05-30 18:00:00&#x27;,
                &#x27;2013-05-31 00:00:00&#x27;, &#x27;2013-05-31 06:00:00&#x27;,
                &#x27;2013-05-31 12:00:00&#x27;, &#x27;2013-05-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=124, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b64ec3d2-8073-4200-bfb2-035675d5e712' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b64ec3d2-8073-4200-bfb2-035675d5e712' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=124, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33b8363b-4a41-41e3-bb75-bffabc7ed5a8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-33b8363b-4a41-41e3-bb75-bffabc7ed5a8' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -5031,17 +5048,17 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a51a25d2-cf5f-487e-8b80-72187254c761' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a51a25d2-cf5f-487e-8b80-72187254c761' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 368</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8eef2f92-f529-4f28-8703-7febc5251e1b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8eef2f92-f529-4f28-8703-7febc5251e1b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-03648ccf-69cf-4c39-af8b-ff585c333f56' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-03648ccf-69cf-4c39-af8b-ff585c333f56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c06468a6-1281-4b57-b7d2-e2d57303db7a' class='xr-var-data-in' type='checkbox'><label for='data-c06468a6-1281-4b57-b7d2-e2d57303db7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-65a9f71d-d5be-4424-86d0-fae44073ee95' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-65a9f71d-d5be-4424-86d0-fae44073ee95' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 368</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-87872d83-ad6c-4eb7-9ae6-39ac94805ab4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-87872d83-ad6c-4eb7-9ae6-39ac94805ab4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-1e0854e5-fd1f-4082-ad16-ca1fdd224ee0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e0854e5-fd1f-4082-ad16-ca1fdd224ee0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d47bf9c9-0534-49f3-8dd2-4caef7913371' class='xr-var-data-in' type='checkbox'><label for='data-d47bf9c9-0534-49f3-8dd2-4caef7913371' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-4245c1b9-220e-47cd-b1a8-5250ce56b051' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4245c1b9-220e-47cd-b1a8-5250ce56b051' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d385be5-6ead-475f-86d1-a08a455717db' class='xr-var-data-in' type='checkbox'><label for='data-0d385be5-6ead-475f-86d1-a08a455717db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-370373e9-9fd5-4db6-934f-cf30c3ff9812' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-370373e9-9fd5-4db6-934f-cf30c3ff9812' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8c49a91-f627-4e98-9a35-d6107099ae7b' class='xr-var-data-in' type='checkbox'><label for='data-a8c49a91-f627-4e98-9a35-d6107099ae7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-05-01 ... 2013-07-31T18:00:00</div><input id='attrs-14810af6-13eb-4197-8d70-d5675753e7a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14810af6-13eb-4197-8d70-d5675753e7a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-507becc6-1fdb-4189-b9fb-1add4aaa1961' class='xr-var-data-in' type='checkbox'><label for='data-507becc6-1fdb-4189-b9fb-1add4aaa1961' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-05-01T00:00:00.000000000&#x27;, &#x27;2013-05-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-05-01 ... 2013-07-31T18:00:00</div><input id='attrs-08538230-1790-494d-abe5-7374d203d939' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08538230-1790-494d-abe5-7374d203d939' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3947a5ce-09c5-4c8e-a667-629a639ca22d' class='xr-var-data-in' type='checkbox'><label for='data-3947a5ce-09c5-4c8e-a667-629a639ca22d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-05-01T00:00:00.000000000&#x27;, &#x27;2013-05-01T06:00:00.000000000&#x27;,
        &#x27;2013-05-01T12:00:00.000000000&#x27;, ..., &#x27;2013-07-31T06:00:00.000000000&#x27;,
        &#x27;2013-07-31T12:00:00.000000000&#x27;, &#x27;2013-07-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5dc69586-a339-4ac3-962c-1e7e57efb519' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5dc69586-a339-4ac3-962c-1e7e57efb519' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>259.2 259.3 259.1 ... 299.5 299.7</div><input id='attrs-b33b3979-31ed-46fe-a2f8-ce7ffd94bd04' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b33b3979-31ed-46fe-a2f8-ce7ffd94bd04' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be250f1b-69b4-4e77-8fda-c5d393aba87e' class='xr-var-data-in' type='checkbox'><label for='data-be250f1b-69b4-4e77-8fda-c5d393aba87e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[259.19998, 259.29   , 259.1    , ..., 251.39   , 252.59999,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e098f2a0-629b-405a-b05c-77722f3fd1cf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e098f2a0-629b-405a-b05c-77722f3fd1cf' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>259.2 259.3 259.1 ... 299.5 299.7</div><input id='attrs-64eb5bf4-677a-4595-a614-1e84caa9c01f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64eb5bf4-677a-4595-a614-1e84caa9c01f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1abfdf9-bd94-4f65-ac5c-167393fe2a07' class='xr-var-data-in' type='checkbox'><label for='data-d1abfdf9-bd94-4f65-ac5c-167393fe2a07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[259.19998, 259.29   , 259.1    , ..., 251.39   , 252.59999,
          254.29999],
         [257.1    , 257.1    , 256.8    , ..., 250.     , 251.89   ,
          254.7    ],
@@ -5081,16 +5098,16 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
         [299.1    , 298.6    , 297.6    , ..., 299.     , 299.1    ,
          299.29   ],
         [299.4    , 299.1    , 298.5    , ..., 299.4    , 299.5    ,
-         299.69998]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8126a549-5545-4057-8f2e-bcc344d709dd' class='xr-section-summary-in' type='checkbox'  ><label for='section-8126a549-5545-4057-8f2e-bcc344d709dd' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e381265a-43dd-45e0-b845-cf1cebe65a60' class='xr-index-data-in' type='checkbox'/><label for='index-e381265a-43dd-45e0-b845-cf1cebe65a60' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         299.69998]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c099ea01-d477-4e61-b06d-b1048538dfc2' class='xr-section-summary-in' type='checkbox'  ><label for='section-c099ea01-d477-4e61-b06d-b1048538dfc2' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-585278cb-3474-467c-9182-f287b5ea1d17' class='xr-index-data-in' type='checkbox'/><label for='index-585278cb-3474-467c-9182-f287b5ea1d17' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4f648c6a-1471-4112-b625-2a7560dcca25' class='xr-index-data-in' type='checkbox'/><label for='index-4f648c6a-1471-4112-b625-2a7560dcca25' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f5d0aa2d-7f97-4430-8884-b20898bbe28d' class='xr-index-data-in' type='checkbox'/><label for='index-f5d0aa2d-7f97-4430-8884-b20898bbe28d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-51d52abf-30c8-4472-9418-7c72e1de7524' class='xr-index-data-in' type='checkbox'/><label for='index-51d52abf-30c8-4472-9418-7c72e1de7524' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-05-01 00:00:00&#x27;, &#x27;2013-05-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-697fcee4-ff96-4f88-b343-731d9c67e43b' class='xr-index-data-in' type='checkbox'/><label for='index-697fcee4-ff96-4f88-b343-731d9c67e43b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-05-01 00:00:00&#x27;, &#x27;2013-05-01 06:00:00&#x27;,
                &#x27;2013-05-01 12:00:00&#x27;, &#x27;2013-05-01 18:00:00&#x27;,
                &#x27;2013-05-02 00:00:00&#x27;, &#x27;2013-05-02 06:00:00&#x27;,
                &#x27;2013-05-02 12:00:00&#x27;, &#x27;2013-05-02 18:00:00&#x27;,
@@ -5101,7 +5118,7 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
                &#x27;2013-07-30 12:00:00&#x27;, &#x27;2013-07-30 18:00:00&#x27;,
                &#x27;2013-07-31 00:00:00&#x27;, &#x27;2013-07-31 06:00:00&#x27;,
                &#x27;2013-07-31 12:00:00&#x27;, &#x27;2013-07-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=368, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba86134c-95e9-45a7-96a1-635cefaaab3d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ba86134c-95e9-45a7-96a1-635cefaaab3d' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=368, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7dbd8579-7b2c-42a9-803c-736e88d14726' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7dbd8579-7b2c-42a9-803c-736e88d14726' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -5487,17 +5504,17 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d98ac227-82ec-42a7-a5b2-eea81fd1f424' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d98ac227-82ec-42a7-a5b2-eea81fd1f424' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2a28d13a-e45e-4704-88f6-8064e261c614' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2a28d13a-e45e-4704-88f6-8064e261c614' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-2b4ba929-a2bf-4e45-afb8-017e0373b4fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b4ba929-a2bf-4e45-afb8-017e0373b4fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6dce92e-f208-4803-97e9-33b8ecf449a2' class='xr-var-data-in' type='checkbox'><label for='data-c6dce92e-f208-4803-97e9-33b8ecf449a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8f7dc936-53c2-4e70-91ee-e0a00e311378' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8f7dc936-53c2-4e70-91ee-e0a00e311378' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 1460</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-f2fc45a2-91b5-4f74-8042-85519f59d3f8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f2fc45a2-91b5-4f74-8042-85519f59d3f8' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-85b11482-db94-416c-82d6-eba4f3a3ff7b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85b11482-db94-416c-82d6-eba4f3a3ff7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99545939-88e1-4357-8e01-6bf97d8c9191' class='xr-var-data-in' type='checkbox'><label for='data-99545939-88e1-4357-8e01-6bf97d8c9191' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-33166349-2bd3-4510-94d2-0fff4bf49bc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33166349-2bd3-4510-94d2-0fff4bf49bc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e31666f-66c1-4770-b29f-432046a3abca' class='xr-var-data-in' type='checkbox'><label for='data-4e31666f-66c1-4770-b29f-432046a3abca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-bc0a699a-79f7-494d-9d18-c3f8bf72f767' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bc0a699a-79f7-494d-9d18-c3f8bf72f767' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbc48de0-614c-46ce-8451-61c8f2a62b21' class='xr-var-data-in' type='checkbox'><label for='data-dbc48de0-614c-46ce-8451-61c8f2a62b21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-12-31T18:00:00</div><input id='attrs-fa98016b-beab-4644-8da7-8ca835126fbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa98016b-beab-4644-8da7-8ca835126fbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33399582-2073-4d7c-9ffb-86ed3ac45105' class='xr-var-data-in' type='checkbox'><label for='data-33399582-2073-4d7c-9ffb-86ed3ac45105' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-12-31T18:00:00</div><input id='attrs-e3d1ab2a-5e01-4913-b964-d5718819c9c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3d1ab2a-5e01-4913-b964-d5718819c9c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3972f77a-f5e4-48e7-b05e-be287cb6c646' class='xr-var-data-in' type='checkbox'><label for='data-3972f77a-f5e4-48e7-b05e-be287cb6c646' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2013-12-31T06:00:00.000000000&#x27;,
        &#x27;2013-12-31T12:00:00.000000000&#x27;, &#x27;2013-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce8e5ecb-72e0-47ca-94ad-17f444bb26b4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ce8e5ecb-72e0-47ca-94ad-17f444bb26b4' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 295.1 294.7</div><input id='attrs-2da0450d-78be-4980-b6fe-d09af909b18c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2da0450d-78be-4980-b6fe-d09af909b18c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19b6bc26-1d4e-469b-95ea-524839379a62' class='xr-var-data-in' type='checkbox'><label for='data-19b6bc26-1d4e-469b-95ea-524839379a62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43d66bdf-f525-4f49-beb1-53598ec3181e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-43d66bdf-f525-4f49-beb1-53598ec3181e' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 295.1 294.7</div><input id='attrs-78ab28a7-0187-4bc3-9c70-fc62c97049bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78ab28a7-0187-4bc3-9c70-fc62c97049bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3957e500-e96f-4d17-bc22-eeed19c4d92d' class='xr-var-data-in' type='checkbox'><label for='data-3957e500-e96f-4d17-bc22-eeed19c4d92d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -5537,16 +5554,16 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
         [297.1    , 296.79   , 296.5    , ..., 295.6    , 295.1    ,
          294.5    ],
         [297.29   , 297.69998, 297.69998, ..., 296.1    , 295.1    ,
-         294.69998]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d9b4b5f7-3f1b-4806-bfa9-479bcc9258df' class='xr-section-summary-in' type='checkbox'  ><label for='section-d9b4b5f7-3f1b-4806-bfa9-479bcc9258df' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-dd29a3af-db43-49d6-b8a7-557b34497dc8' class='xr-index-data-in' type='checkbox'/><label for='index-dd29a3af-db43-49d6-b8a7-557b34497dc8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         294.69998]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5d413a28-5bfd-4c0c-832d-5a088e859798' class='xr-section-summary-in' type='checkbox'  ><label for='section-5d413a28-5bfd-4c0c-832d-5a088e859798' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-733f7391-5f28-4038-ae46-090d6f1ed28f' class='xr-index-data-in' type='checkbox'/><label for='index-733f7391-5f28-4038-ae46-090d6f1ed28f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-89c3e4a5-3d9d-4ff4-98d4-1058c860f0f2' class='xr-index-data-in' type='checkbox'/><label for='index-89c3e4a5-3d9d-4ff4-98d4-1058c860f0f2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5043829c-563e-40ab-9796-1e1e58c996fc' class='xr-index-data-in' type='checkbox'/><label for='index-5043829c-563e-40ab-9796-1e1e58c996fc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-10539c73-48bc-49a7-a61c-16ba45347762' class='xr-index-data-in' type='checkbox'/><label for='index-10539c73-48bc-49a7-a61c-16ba45347762' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-72dca49c-fb56-465c-9ce4-5c88f2fd0430' class='xr-index-data-in' type='checkbox'/><label for='index-72dca49c-fb56-465c-9ce4-5c88f2fd0430' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -5557,7 +5574,7 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
                &#x27;2013-12-30 12:00:00&#x27;, &#x27;2013-12-30 18:00:00&#x27;,
                &#x27;2013-12-31 00:00:00&#x27;, &#x27;2013-12-31 06:00:00&#x27;,
                &#x27;2013-12-31 12:00:00&#x27;, &#x27;2013-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1460, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e89e80f-4780-47eb-8774-278e34a81436' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3e89e80f-4780-47eb-8774-278e34a81436' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1460, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-295bf176-329f-472f-a106-07a5d6366bb6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-295bf176-329f-472f-a106-07a5d6366bb6' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -5944,12 +5961,12 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-97112cb4-6ca1-4b5c-a67d-0010052ad199' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-97112cb4-6ca1-4b5c-a67d-0010052ad199' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-62fda8c9-5782-4ac7-931a-ff79b2d800f7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-62fda8c9-5782-4ac7-931a-ff79b2d800f7' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-70ee4bec-f572-4dde-877a-556ca07af184' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70ee4bec-f572-4dde-877a-556ca07af184' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3379791b-a3af-4265-8e84-26e5c85a0a44' class='xr-var-data-in' type='checkbox'><label for='data-3379791b-a3af-4265-8e84-26e5c85a0a44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-244bf57f-438e-4c83-b30e-6cdb0ad7ad3e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-244bf57f-438e-4c83-b30e-6cdb0ad7ad3e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-96d7d848-2ec3-406e-a47d-1bfd2f3e80e1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96d7d848-2ec3-406e-a47d-1bfd2f3e80e1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-6c8d9f04-49b2-4bd2-a8a7-1ea4681e9aef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c8d9f04-49b2-4bd2-a8a7-1ea4681e9aef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2e4ffde-1eb8-4aee-8a9f-3e333bf1ed5d' class='xr-var-data-in' type='checkbox'><label for='data-b2e4ffde-1eb8-4aee-8a9f-3e333bf1ed5d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.0</div><input id='attrs-06a28ffe-8bad-418a-b9fd-41e41f7285c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06a28ffe-8bad-418a-b9fd-41e41f7285c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-438adac2-1d58-427f-bd85-d60533aea828' class='xr-var-data-in' type='checkbox'><label for='data-438adac2-1d58-427f-bd85-d60533aea828' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(240., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-8308a18f-1958-4a7f-8ac5-5d6ddc9c9ffc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8308a18f-1958-4a7f-8ac5-5d6ddc9c9ffc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88b269dc-a7fd-4dd7-a638-0d4ae0e5207b' class='xr-var-data-in' type='checkbox'><label for='data-88b269dc-a7fd-4dd7-a638-0d4ae0e5207b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.0</div><input id='attrs-8fc85d70-f90f-49f2-bc8b-70a4af739938' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8fc85d70-f90f-49f2-bc8b-70a4af739938' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-354dccd4-a590-48aa-9f96-d60bbcce297a' class='xr-var-data-in' type='checkbox'><label for='data-354dccd4-a590-48aa-9f96-d60bbcce297a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(240., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-c97d22d2-0f9a-46c0-a313-6bea0ca391d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c97d22d2-0f9a-46c0-a313-6bea0ca391d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42f804a7-6adb-49ce-9cea-418d0e280986' class='xr-var-data-in' type='checkbox'><label for='data-42f804a7-6adb-49ce-9cea-418d0e280986' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-14aed3e1-bbb5-4d57-afe2-d2739476adc1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-14aed3e1-bbb5-4d57-afe2-d2739476adc1' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>239.6 237.2 240.1 ... 296.9 298.4</div><input id='attrs-b7f61acf-8043-4db0-96de-c20437a76ff3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7f61acf-8043-4db0-96de-c20437a76ff3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b595f740-f07a-4356-bb60-e608d7bacb67' class='xr-var-data-in' type='checkbox'><label for='data-b595f740-f07a-4356-bb60-e608d7bacb67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[239.59999, 237.2    , 240.09999, ..., 291.79   , 294.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-44467efa-1579-443f-a5dc-8581c00d0832' class='xr-section-summary-in' type='checkbox'  checked><label for='section-44467efa-1579-443f-a5dc-8581c00d0832' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>239.6 237.2 240.1 ... 296.9 298.4</div><input id='attrs-56420d0d-50da-4f3e-b343-568adfd53182' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56420d0d-50da-4f3e-b343-568adfd53182' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ee93412-17b7-408a-a5c6-b41754c5af19' class='xr-var-data-in' type='checkbox'><label for='data-0ee93412-17b7-408a-a5c6-b41754c5af19' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[239.59999, 237.2    , 240.09999, ..., 291.79   , 294.5    ,
         296.4    ],
        [239.5    , 238.2    , 241.79999, ..., 292.29   , 294.6    ,
         296.4    ],
@@ -5961,10 +5978,10 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
        [238.89   , 240.68999, 240.59   , ..., 295.09   , 297.19   ,
         298.38998],
        [239.09   , 240.39   , 238.79   , ..., 294.79   , 296.88998,
-        298.38998]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ed199296-5822-484c-a8fe-7099296a7408' class='xr-section-summary-in' type='checkbox'  ><label for='section-ed199296-5822-484c-a8fe-7099296a7408' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-905437de-347f-4fbb-bb83-548dc0ad72e7' class='xr-index-data-in' type='checkbox'/><label for='index-905437de-347f-4fbb-bb83-548dc0ad72e7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+        298.38998]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0719ab8e-fdd7-42ca-9492-0cc99e4c9c01' class='xr-section-summary-in' type='checkbox'  ><label for='section-0719ab8e-fdd7-42ca-9492-0cc99e4c9c01' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4fc46081-59be-482b-ba8c-1780a8e0e8a1' class='xr-index-data-in' type='checkbox'/><label for='index-4fc46081-59be-482b-ba8c-1780a8e0e8a1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c2054499-4448-441e-b67b-140e8bfdc9b0' class='xr-index-data-in' type='checkbox'/><label for='index-c2054499-4448-441e-b67b-140e8bfdc9b0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b7ed834b-5e28-4a05-8cf6-d38a3a010042' class='xr-index-data-in' type='checkbox'/><label for='index-b7ed834b-5e28-4a05-8cf6-d38a3a010042' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -5975,7 +5992,7 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5672b1b-c21c-4915-aafc-5eaf4c2a08a8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f5672b1b-c21c-4915-aafc-5eaf4c2a08a8' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a3e50ee-7724-44d5-9fdb-59ef5571f327' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0a3e50ee-7724-44d5-9fdb-59ef5571f327' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -6362,10 +6379,10 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f669bc9e-9e56-472a-9c80-358364f4e903' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f669bc9e-9e56-472a-9c80-358364f4e903' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 2</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a96f65f7-8951-4cdd-80d4-9f7762fd8e05' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a96f65f7-8951-4cdd-80d4-9f7762fd8e05' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>40.0 50.0</div><input id='attrs-4d5f6261-2fee-4f7b-8193-e6b153c2f90e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d5f6261-2fee-4f7b-8193-e6b153c2f90e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ddd0752-fb15-47e2-b863-46e6abf94140' class='xr-var-data-in' type='checkbox'><label for='data-5ddd0752-fb15-47e2-b863-46e6abf94140' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([40., 50.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.0 235.0</div><input id='attrs-0e5f0c97-2991-4bcf-83bf-55a5c2a0fba2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e5f0c97-2991-4bcf-83bf-55a5c2a0fba2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35a4c3c2-2199-4b62-93ec-eef98bd82cef' class='xr-var-data-in' type='checkbox'><label for='data-35a4c3c2-2199-4b62-93ec-eef98bd82cef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([240., 235.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-5c5c8d66-69ee-486c-a47e-32542e57b327' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c5c8d66-69ee-486c-a47e-32542e57b327' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-398aa03c-7056-4c05-bf7f-62ce59a5053c' class='xr-var-data-in' type='checkbox'><label for='data-398aa03c-7056-4c05-bf7f-62ce59a5053c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b0866e01-eaea-4398-87b8-4ef8795d1c78' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b0866e01-eaea-4398-87b8-4ef8795d1c78' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 2</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d618f6ab-530f-4eb7-a35f-cc4ac5d332e6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d618f6ab-530f-4eb7-a35f-cc4ac5d332e6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>40.0 50.0</div><input id='attrs-953cb5b3-c0dd-4aa2-870c-dd5080cbac19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-953cb5b3-c0dd-4aa2-870c-dd5080cbac19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8436de0c-db49-48a3-afc9-c327366bbf9d' class='xr-var-data-in' type='checkbox'><label for='data-8436de0c-db49-48a3-afc9-c327366bbf9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([40., 50.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>240.0 235.0</div><input id='attrs-9493406d-65c1-4749-bbd5-ba99b9e00066' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9493406d-65c1-4749-bbd5-ba99b9e00066' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73168caa-16d6-4a8d-9336-11bf96537d63' class='xr-var-data-in' type='checkbox'><label for='data-73168caa-16d6-4a8d-9336-11bf96537d63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([240., 235.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-ab04d19d-5c64-4ec8-aad7-d4d205a44ac8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab04d19d-5c64-4ec8-aad7-d4d205a44ac8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ce14bbf-aa84-4c5b-ad53-cfbf05fe07a7' class='xr-var-data-in' type='checkbox'><label for='data-1ce14bbf-aa84-4c5b-ad53-cfbf05fe07a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-167babee-3efc-4c58-8b6e-7e173f0a7753' class='xr-section-summary-in' type='checkbox'  checked><label for='section-167babee-3efc-4c58-8b6e-7e173f0a7753' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>268.1 283.0 265.5 ... 256.8 268.6</div><input id='attrs-6261353a-7851-4c8e-870f-68c332d21ec3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6261353a-7851-4c8e-870f-68c332d21ec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc18ef22-8ae2-465a-974f-0f0e199137e5' class='xr-var-data-in' type='checkbox'><label for='data-dc18ef22-8ae2-465a-974f-0f0e199137e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[268.1    , 283.     ],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2bd5d6cb-9c27-4f4d-8b0f-9697edb8a506' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2bd5d6cb-9c27-4f4d-8b0f-9697edb8a506' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>268.1 283.0 265.5 ... 256.8 268.6</div><input id='attrs-8d12dc09-8821-42a1-b168-7f92117e9cf1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d12dc09-8821-42a1-b168-7f92117e9cf1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7faea7c-e2d9-42de-b033-5d0ec05068f4' class='xr-var-data-in' type='checkbox'><label for='data-e7faea7c-e2d9-42de-b033-5d0ec05068f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[268.1    , 283.     ],
         [265.5    , 273.5    ]],
 
        [[262.4    , 283.5    ],
@@ -6383,7 +6400,7 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
         [259.29   , 270.19   ]],
 
        [[260.79   , 285.19   ],
-        [256.79   , 268.59   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-966e055f-3e38-490e-9f62-c2f3516ea7ca' class='xr-section-summary-in' type='checkbox'  ><label for='section-966e055f-3e38-490e-9f62-c2f3516ea7ca' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-74cbca03-804b-4ce2-be9d-56b051ecdc30' class='xr-index-data-in' type='checkbox'/><label for='index-74cbca03-804b-4ce2-be9d-56b051ecdc30' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([40.0, 50.0], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1fd4c9d5-4af1-4f36-b266-ac5561f54de8' class='xr-index-data-in' type='checkbox'/><label for='index-1fd4c9d5-4af1-4f36-b266-ac5561f54de8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([240.0, 235.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-38ece9ec-4c2c-455f-adeb-ab4153a56358' class='xr-index-data-in' type='checkbox'/><label for='index-38ece9ec-4c2c-455f-adeb-ab4153a56358' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+        [256.79   , 268.59   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5a5382ac-d191-42dc-9be2-5fae1af63fb9' class='xr-section-summary-in' type='checkbox'  ><label for='section-5a5382ac-d191-42dc-9be2-5fae1af63fb9' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f536be81-40a6-4af6-9815-55a9645974cb' class='xr-index-data-in' type='checkbox'/><label for='index-f536be81-40a6-4af6-9815-55a9645974cb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([40.0, 50.0], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ed66d58c-54be-454e-9091-6971f87421e8' class='xr-index-data-in' type='checkbox'/><label for='index-ed66d58c-54be-454e-9091-6971f87421e8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([240.0, 235.0], dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-29be0757-931f-47a8-b104-38e1c08fb35b' class='xr-index-data-in' type='checkbox'/><label for='index-29be0757-931f-47a8-b104-38e1c08fb35b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -6394,12 +6411,12 @@ <h3>Label-based indexing<a class="headerlink" href="#label-based-indexing" title
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c2ce2549-c909-45f0-af49-4dd22d0c299b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c2ce2549-c909-45f0-af49-4dd22d0c299b' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb5c77dd-161c-4ddb-b955-db462ffc565c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb5c77dd-161c-4ddb-b955-db462ffc565c' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="position-based-indexing">
-<h3>Position-based indexing<a class="headerlink" href="#position-based-indexing" title="Permalink to this headline">#</a></h3>
+<h3>Position-based indexing<a class="headerlink" href="#position-based-indexing" title="Permalink to this heading">#</a></h3>
 <p>This is similar to your usual numpy <code class="docutils literal notranslate"><span class="pre">array[0,</span> <span class="pre">2,</span> <span class="pre">3]</span></code> but with the power of named
 dimensions!</p>
 <div class="cell docutils container">
@@ -6803,7 +6820,7 @@ <h3>Position-based indexing<a class="headerlink" href="#position-based-indexing"
     statistic:       Individual Obs
     parent_stat:     Other
     actual_range:    [185.16 322.1 ]
-    who_is_awesome:  xarray</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e43a1a5f-dc6e-41ff-9d18-7cbaaa2423cb' class='xr-array-in' type='checkbox' checked><label for='section-e43a1a5f-dc6e-41ff-9d18-7cbaaa2423cb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>247.5</span></div><div class='xr-array-data'><pre>array(247.5, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-34192d79-86c0-46b7-a6bd-3e52c7d447fb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-34192d79-86c0-46b7-a6bd-3e52c7d447fb' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>70.0</div><input id='attrs-fcb54367-3320-42d2-828f-6cec6475bc5e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcb54367-3320-42d2-828f-6cec6475bc5e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12a51f60-37bc-4c1e-850f-e40312c3fda3' class='xr-var-data-in' type='checkbox'><label for='data-12a51f60-37bc-4c1e-850f-e40312c3fda3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(70., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>207.5</div><input id='attrs-79741a13-3ae8-4e4f-9f8a-be8290eff27f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79741a13-3ae8-4e4f-9f8a-be8290eff27f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35a5621b-9fd5-4bff-b851-03181177d617' class='xr-var-data-in' type='checkbox'><label for='data-35a5621b-9fd5-4bff-b851-03181177d617' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(207.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-1e2fceb3-7fe5-43be-9f07-edbf2ff2c1e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e2fceb3-7fe5-43be-9f07-edbf2ff2c1e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-676bc6ba-4f8d-4462-b874-8ba19951c784' class='xr-var-data-in' type='checkbox'><label for='data-676bc6ba-4f8d-4462-b874-8ba19951c784' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-55bfa4c8-7f14-404a-9967-b1370aee0c68' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-55bfa4c8-7f14-404a-9967-b1370aee0c68' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-57c9109b-98f0-491c-bbb8-144d10245442' class='xr-section-summary-in' type='checkbox'  ><label for='section-57c9109b-98f0-491c-bbb8-144d10245442' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div></li></ul></div></div></div></div>
+    who_is_awesome:  xarray</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2d2e059d-644f-44d1-9a84-8a54a6e679ea' class='xr-array-in' type='checkbox' checked><label for='section-2d2e059d-644f-44d1-9a84-8a54a6e679ea' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>247.5</span></div><div class='xr-array-data'><pre>array(247.5, dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-59a69d24-6f69-47fb-a064-65803878ea86' class='xr-section-summary-in' type='checkbox'  checked><label for='section-59a69d24-6f69-47fb-a064-65803878ea86' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>70.0</div><input id='attrs-efec8f15-4b37-436a-abd6-82831cb8bb97' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efec8f15-4b37-436a-abd6-82831cb8bb97' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-82a9f71a-cbc8-43b2-a67d-dbb1ca18cc0e' class='xr-var-data-in' type='checkbox'><label for='data-82a9f71a-cbc8-43b2-a67d-dbb1ca18cc0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(70., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>207.5</div><input id='attrs-4337d7c8-4f57-4862-876b-7904d9ecc384' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4337d7c8-4f57-4862-876b-7904d9ecc384' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5177c6ee-1741-4d16-9d4d-b0d8e6dfee46' class='xr-var-data-in' type='checkbox'><label for='data-5177c6ee-1741-4d16-9d4d-b0d8e6dfee46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(207.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01</div><input id='attrs-e059024f-3419-4c93-aafd-3bb51b4db738' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e059024f-3419-4c93-aafd-3bb51b4db738' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cc5aded-9ea5-459a-b395-51211949380d' class='xr-var-data-in' type='checkbox'><label for='data-9cc5aded-9ea5-459a-b395-51211949380d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9bfc729f-5f0a-4bd7-8b54-3e53b77dff65' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9bfc729f-5f0a-4bd7-8b54-3e53b77dff65' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-30d9821b-5378-475f-b849-95fb7f8bffaa' class='xr-section-summary-in' type='checkbox'  ><label for='section-30d9821b-5378-475f-b849-95fb7f8bffaa' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -7234,7 +7251,7 @@ <h3>Position-based indexing<a class="headerlink" href="#position-based-indexing"
     statistic:       Individual Obs
     parent_stat:     Other
     actual_range:    [185.16 322.1 ]
-    who_is_awesome:  xarray</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 10</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fd8e4afa-04f6-4852-8162-698f61df6ea9' class='xr-array-in' type='checkbox' checked><label for='section-fd8e4afa-04f6-4852-8162-698f61df6ea9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 273.8 273.5 273.8 275.0 276.2</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+    who_is_awesome:  xarray</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 10</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3cd273c5-7202-4625-a5d1-9e939b18c0e4' class='xr-array-in' type='checkbox' checked><label for='section-3cd273c5-7202-4625-a5d1-9e939b18c0e4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.2 242.5 243.5 244.0 244.1 243.9 ... 273.8 273.5 273.8 275.0 276.2</span></div><div class='xr-array-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -7274,22 +7291,22 @@ <h3>Position-based indexing<a class="headerlink" href="#position-based-indexing"
         [276.79   , 277.49   , 277.99   , ..., 273.19   , 273.59   ,
          274.19   ],
         [276.88998, 277.29   , 277.59   , ..., 273.79   , 274.99   ,
-         276.19   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6bf1e5e0-cfc6-40ad-ab60-d89144c51c63' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6bf1e5e0-cfc6-40ad-ab60-d89144c51c63' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 57.5 55.0 52.5</div><input id='attrs-ca0eb066-d082-4b59-819d-4d996f4ff7d6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca0eb066-d082-4b59-819d-4d996f4ff7d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-914ee281-efb7-4506-920f-5b92d9edb627' class='xr-var-data-in' type='checkbox'><label for='data-914ee281-efb7-4506-920f-5b92d9edb627' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-103a5a53-058a-4b8b-bcd9-25b856fe1a15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-103a5a53-058a-4b8b-bcd9-25b856fe1a15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b64dee5a-d154-458b-b473-726e772ee04e' class='xr-var-data-in' type='checkbox'><label for='data-b64dee5a-d154-458b-b473-726e772ee04e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+         276.19   ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-5b7ea581-6835-49c8-bade-85c194fa022f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5b7ea581-6835-49c8-bade-85c194fa022f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 57.5 55.0 52.5</div><input id='attrs-71a796bf-e843-4a9d-9101-312cf79cec0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-71a796bf-e843-4a9d-9101-312cf79cec0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5e56ce9-1c56-45ac-8c12-9d04cfd69fbd' class='xr-var-data-in' type='checkbox'><label for='data-f5e56ce9-1c56-45ac-8c12-9d04cfd69fbd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5],
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ebe6ad86-4e25-4783-a7bb-389e9d85e4d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebe6ad86-4e25-4783-a7bb-389e9d85e4d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98c6d690-8154-423d-977e-2e92dc728f83' class='xr-var-data-in' type='checkbox'><label for='data-98c6d690-8154-423d-977e-2e92dc728f83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-5a5cf7ca-cfb1-4e6d-956d-8fd18b54e52f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a5cf7ca-cfb1-4e6d-956d-8fd18b54e52f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b719a12-3e7c-47fe-9730-98e6ea48624f' class='xr-var-data-in' type='checkbox'><label for='data-5b719a12-3e7c-47fe-9730-98e6ea48624f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-429e08ae-9010-4135-99ad-8e02c7371fc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-429e08ae-9010-4135-99ad-8e02c7371fc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e93de55a-cd74-4cc1-b47b-4d1414d8991a' class='xr-var-data-in' type='checkbox'><label for='data-e93de55a-cd74-4cc1-b47b-4d1414d8991a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-da7def66-c5ea-45d0-bdf3-2e4bbbcf4923' class='xr-section-summary-in' type='checkbox'  ><label for='section-da7def66-c5ea-45d0-bdf3-2e4bbbcf4923' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-315c1cf3-aa62-4acf-9614-4dc346001cdd' class='xr-index-data-in' type='checkbox'/><label for='index-315c1cf3-aa62-4acf-9614-4dc346001cdd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6598ba77-c540-4675-8c50-04d0ca6b0968' class='xr-index-data-in' type='checkbox'/><label for='index-6598ba77-c540-4675-8c50-04d0ca6b0968' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8c6f7da8-4bc7-4c97-9d99-71364d0ac883' class='xr-section-summary-in' type='checkbox'  ><label for='section-8c6f7da8-4bc7-4c97-9d99-71364d0ac883' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6460034a-de01-4392-88a2-db9b77e964b5' class='xr-index-data-in' type='checkbox'/><label for='index-6460034a-de01-4392-88a2-db9b77e964b5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8462f4ea-bb88-45af-99c7-90e6798475f0' class='xr-index-data-in' type='checkbox'/><label for='index-8462f4ea-bb88-45af-99c7-90e6798475f0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0ee27679-2279-4834-b9cf-ad86081a0c52' class='xr-index-data-in' type='checkbox'/><label for='index-0ee27679-2279-4834-b9cf-ad86081a0c52' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ca6ec367-c3f1-4717-9ae1-3a334a4460cb' class='xr-index-data-in' type='checkbox'/><label for='index-ca6ec367-c3f1-4717-9ae1-3a334a4460cb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -7300,13 +7317,13 @@ <h3>Position-based indexing<a class="headerlink" href="#position-based-indexing"
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9e3de5aa-d2bf-45f1-a6fd-513c8f154b42' class='xr-section-summary-in' type='checkbox'  ><label for='section-9e3de5aa-d2bf-45f1-a6fd-513c8f154b42' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dba3a9c0-12b8-415d-ab73-b310a7b40dae' class='xr-section-summary-in' type='checkbox'  ><label for='section-dba3a9c0-12b8-415d-ab73-b310a7b40dae' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 </section>
 <hr class="docutils" />
 <section id="concepts-for-computation">
-<h2>Concepts for computation<a class="headerlink" href="#concepts-for-computation" title="Permalink to this headline">#</a></h2>
+<h2>Concepts for computation<a class="headerlink" href="#concepts-for-computation" title="Permalink to this heading">#</a></h2>
 <p>Consider calculating the <em>mean air temperature per unit surface area</em> for this dataset. Because latitude and longitude correspond to spherical coordinates for Earth’s surface, each 2.5x2.5 degree grid cell actually has a different surface area as you move away from the equator! This is because <em>latitudinal length</em> is fixed (<span class="math notranslate nohighlight">\( \delta Lat = R \delta \phi  \)</span>), but <em>longitudinal length varies with latitude</em> (<span class="math notranslate nohighlight">\( \delta Lon = R \delta \lambda \cos(\phi) \)</span>)</p>
 <p>So the <a class="reference external" href="https://en.wikipedia.org/wiki/Spherical_coordinate_system#Integration_and_differentiation_in_spherical_coordinates">area element for lat-lon coordinates</a> is</p>
 <div class="math notranslate nohighlight">
@@ -7716,17 +7733,17 @@ <h2>Concepts for computation<a class="headerlink" href="#concepts-for-computatio
     standard_name:  latitude
     long_name:      Latitude
     units:          degrees_north
-    axis:           Y</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lat'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-17540884-4e5f-485e-9e22-974c0ae55dd3' class='xr-array-in' type='checkbox' checked><label for='section-17540884-4e5f-485e-9e22-974c0ae55dd3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.2588 0.3007 0.342 0.3827 0.4226 ... 0.9239 0.9397 0.9537 0.9659</span></div><div class='xr-array-data'><pre>array([0.25881907, 0.30070582, 0.34202015, 0.38268346, 0.42261827,
+    axis:           Y</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lat'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-71db5452-b02f-4f03-9801-9defff76df32' class='xr-array-in' type='checkbox' checked><label for='section-71db5452-b02f-4f03-9801-9defff76df32' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.2588 0.3007 0.342 0.3827 0.4226 ... 0.9239 0.9397 0.9537 0.9659</span></div><div class='xr-array-data'><pre>array([0.25881907, 0.30070582, 0.34202015, 0.38268346, 0.42261827,
        0.4617486 , 0.49999997, 0.5372996 , 0.57357645, 0.6087614 ,
        0.6427876 , 0.67559016, 0.70710677, 0.7372773 , 0.76604444,
        0.7933533 , 0.81915206, 0.8433914 , 0.8660254 , 0.8870108 ,
        0.90630776, 0.9238795 , 0.9396926 , 0.95371693, 0.9659258 ],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-d5399a45-d219-4875-b240-f1391a8eebf6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d5399a45-d219-4875-b240-f1391a8eebf6' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-9063398b-53d4-4ed3-b4cc-842a14476ac4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9063398b-53d4-4ed3-b4cc-842a14476ac4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cb7b81b-e010-4362-b483-59d79f4f6758' class='xr-var-data-in' type='checkbox'><label for='data-4cb7b81b-e010-4362-b483-59d79f4f6758' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-89ff97a1-d396-4cb4-b84d-24ee8cbdb64f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89ff97a1-d396-4cb4-b84d-24ee8cbdb64f' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-8e367b30-8fde-4cf3-bbf7-5e6e19704949' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e367b30-8fde-4cf3-bbf7-5e6e19704949' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6b7ab43-2ccf-4a9f-a78e-fb8a7358965d' class='xr-var-data-in' type='checkbox'><label for='data-f6b7ab43-2ccf-4a9f-a78e-fb8a7358965d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7e6145e8-616a-40f6-b62d-126919a7c8c6' class='xr-section-summary-in' type='checkbox'  ><label for='section-7e6145e8-616a-40f6-b62d-126919a7c8c6' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-90d8c9e4-813d-47ed-ba0b-7f6423e7b3ee' class='xr-index-data-in' type='checkbox'/><label for='index-90d8c9e4-813d-47ed-ba0b-7f6423e7b3ee' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       15. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b58e7c0-fc0f-4a96-a190-4c70831c2158' class='xr-section-summary-in' type='checkbox'  ><label for='section-6b58e7c0-fc0f-4a96-a190-4c70831c2158' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6aba3a03-75ef-4c84-9a3d-318373e92e1b' class='xr-index-data-in' type='checkbox'/><label for='index-6aba3a03-75ef-4c84-9a3d-318373e92e1b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-386b7d28-b269-4e00-b406-433522ec360e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-386b7d28-b269-4e00-b406-433522ec360e' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7daa2e53-fd8a-4d75-a78d-78c1021e5a0f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7daa2e53-fd8a-4d75-a78d-78c1021e5a0f' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -8115,7 +8132,7 @@ <h2>Concepts for computation<a class="headerlink" href="#concepts-for-computatio
     standard_name:  longitude
     long_name:      Longitude
     units:          degrees_east
-    axis:           X</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lon'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-22c95df1-c600-453a-9f19-054eaf59a6c2' class='xr-array-in' type='checkbox' checked><label for='section-22c95df1-c600-453a-9f19-054eaf59a6c2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.78e+05 2.78e+05 2.78e+05 2.78e+05 ... 2.78e+05 2.78e+05 2.78e+05</span></div><div class='xr-array-data'><pre>array([277987.3, 277987.3, 277987.3, 277987.3, 277987.3, 277987.3,
+    axis:           X</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lon'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-35844427-40d2-4b36-934c-d16c3f4615fb' class='xr-array-in' type='checkbox' checked><label for='section-35844427-40d2-4b36-934c-d16c3f4615fb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.78e+05 2.78e+05 2.78e+05 2.78e+05 ... 2.78e+05 2.78e+05 2.78e+05</span></div><div class='xr-array-data'><pre>array([277987.3, 277987.3, 277987.3, 277987.3, 277987.3, 277987.3,
        277987.3, 277987.3, 277987.3, 277987.3, 277987.3, 277987.3,
        277987.3, 277987.3, 277987.3, 277987.3, 277987.3, 277987.3,
        277987.3, 277987.3, 277987.3, 277987.3, 277987.3, 277987.3,
@@ -8123,18 +8140,18 @@ <h2>Concepts for computation<a class="headerlink" href="#concepts-for-computatio
        277987.3, 277987.3, 277987.3, 277987.3, 277987.3, 277987.3,
        277987.3, 277987.3, 277987.3, 277987.3, 277987.3, 277987.3,
        277987.3, 277987.3, 277987.3, 277987.3, 277987.3, 277987.3,
-       277987.3, 277987.3, 277987.3, 277987.3, 277987.3], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7a223518-19dc-4239-8309-ec539f256903' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7a223518-19dc-4239-8309-ec539f256903' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-acaba341-965a-4dd9-8a1f-445e4f3c675a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acaba341-965a-4dd9-8a1f-445e4f3c675a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cb78ca7-9de7-4fcc-9906-de6103edcf05' class='xr-var-data-in' type='checkbox'><label for='data-9cb78ca7-9de7-4fcc-9906-de6103edcf05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       277987.3, 277987.3, 277987.3, 277987.3, 277987.3], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c8f703a5-27ee-4e5b-9910-49730cf6de71' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c8f703a5-27ee-4e5b-9910-49730cf6de71' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-b46124f5-a128-425f-b1d6-9e258ef87e0d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b46124f5-a128-425f-b1d6-9e258ef87e0d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de76e3e3-bec4-4f3c-beea-2484f671e1c7' class='xr-var-data-in' type='checkbox'><label for='data-de76e3e3-bec4-4f3c-beea-2484f671e1c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5248c9b5-aa77-4e80-9183-c0bc5b16d8f7' class='xr-section-summary-in' type='checkbox'  ><label for='section-5248c9b5-aa77-4e80-9183-c0bc5b16d8f7' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ee473f5e-e2f5-4472-98a5-a8a7d6faf885' class='xr-index-data-in' type='checkbox'/><label for='index-ee473f5e-e2f5-4472-98a5-a8a7d6faf885' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6e4dd4ba-781d-4c00-a5c7-d45007ce88b5' class='xr-section-summary-in' type='checkbox'  ><label for='section-6e4dd4ba-781d-4c00-a5c7-d45007ce88b5' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a3b6e085-82e2-44d7-bdc5-0d3e47a487a4' class='xr-index-data-in' type='checkbox'/><label for='index-a3b6e085-82e2-44d7-bdc5-0d3e47a487a4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2523621c-fa5b-40fe-b446-7fd4e98dcec1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2523621c-fa5b-40fe-b446-7fd4e98dcec1' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-21b0ca25-8cd7-4f02-b470-252c7102432c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-21b0ca25-8cd7-4f02-b470-252c7102432c' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -8520,20 +8537,20 @@ <h2>Concepts for computation<a class="headerlink" href="#concepts-for-computatio
     standard_name:  latitude
     long_name:      Latitude
     units:          degrees_north
-    axis:           Y</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lat'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9e948f49-82b2-4aaf-93c3-ea140226c7f2' class='xr-array-in' type='checkbox' checked><label for='section-9e948f49-82b2-4aaf-93c3-ea140226c7f2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.195e+04 8.359e+04 9.508e+04 ... 2.612e+05 2.651e+05 2.685e+05</span></div><div class='xr-array-data'><pre>array([ 71948.42 ,  83592.41 ,  95077.266, 106381.15 , 117482.516,
+    axis:           Y</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lat'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0ab0ae1a-709f-419f-9964-7aaf02377864' class='xr-array-in' type='checkbox' checked><label for='section-0ab0ae1a-709f-419f-9964-7aaf02377864' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>7.195e+04 8.359e+04 9.508e+04 ... 2.612e+05 2.651e+05 2.685e+05</span></div><div class='xr-array-data'><pre>array([ 71948.42 ,  83592.41 ,  95077.266, 106381.15 , 117482.516,
        128360.25 , 138993.64 , 149362.47 , 159446.97 , 169227.95 ,
        178686.8  , 187805.5  , 196566.7  , 204953.75 , 212950.64 ,
        220542.16 , 227713.88 , 234452.11 , 240744.06 , 246577.75 ,
        251942.06 , 256826.78 , 261222.62 , 265121.22 , 268515.12 ],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-36e39874-d7d4-43d2-bbec-ebaa17fa284a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-36e39874-d7d4-43d2-bbec-ebaa17fa284a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-91f24ad3-e2d3-496c-9e99-73d7129ea4db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91f24ad3-e2d3-496c-9e99-73d7129ea4db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4af8b72-a768-4762-b8a2-b533cf7f9a7c' class='xr-var-data-in' type='checkbox'><label for='data-e4af8b72-a768-4762-b8a2-b533cf7f9a7c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-d356a800-af26-402c-88b1-9e0e7c7f3a7a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d356a800-af26-402c-88b1-9e0e7c7f3a7a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-b1765a77-5501-4ceb-b534-82ed3515b358' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1765a77-5501-4ceb-b534-82ed3515b358' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39b04de5-0ccb-4df8-9cca-7c1862b6134d' class='xr-var-data-in' type='checkbox'><label for='data-39b04de5-0ccb-4df8-9cca-7c1862b6134d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-01b4111b-3910-46c4-a384-d863f165104c' class='xr-section-summary-in' type='checkbox'  ><label for='section-01b4111b-3910-46c4-a384-d863f165104c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-933e8690-eb29-40f6-b486-798790498906' class='xr-index-data-in' type='checkbox'/><label for='index-933e8690-eb29-40f6-b486-798790498906' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       15. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd188b8b-96be-4a99-877e-707faecd5f16' class='xr-section-summary-in' type='checkbox'  ><label for='section-bd188b8b-96be-4a99-877e-707faecd5f16' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fd63255d-9a5a-4a8a-8ee2-596b1d12cc2e' class='xr-index-data-in' type='checkbox'/><label for='index-fd63255d-9a5a-4a8a-8ee2-596b1d12cc2e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b82c9f61-95bc-4eab-9588-b2b9c05aa20d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b82c9f61-95bc-4eab-9588-b2b9c05aa20d' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71be84f8-19f7-4419-b18a-3a75f63b06c8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-71be84f8-19f7-4419-b18a-3a75f63b06c8' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <section id="broadcasting-expanding-data">
-<h3>Broadcasting: expanding data<a class="headerlink" href="#broadcasting-expanding-data" title="Permalink to this headline">#</a></h3>
+<h3>Broadcasting: expanding data<a class="headerlink" href="#broadcasting-expanding-data" title="Permalink to this heading">#</a></h3>
 <p>Our longitude and latitude length DataArrays are both 1D with different dimension names. If we multiple these DataArrays together the dimensionality is expanded to 2D by <em>broadcasting</em>:</p>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -8922,7 +8939,7 @@ <h3>Broadcasting: expanding data<a class="headerlink" href="#broadcasting-expand
         7.4643800e+10, 7.4643800e+10]], dtype=float32)
 Coordinates:
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
-  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bcaf7191-396d-4b86-a6d3-4b5a9d37f8fc' class='xr-array-in' type='checkbox' checked><label for='section-bcaf7191-396d-4b86-a6d3-4b5a9d37f8fc' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2e+10 2e+10 2e+10 2e+10 ... 7.464e+10 7.464e+10 7.464e+10 7.464e+10</span></div><div class='xr-array-data'><pre>array([[2.0000748e+10, 2.0000748e+10, 2.0000748e+10, ..., 2.0000748e+10,
+  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-29baf42b-cf72-48fb-a70a-bda071a9117b' class='xr-array-in' type='checkbox' checked><label for='section-29baf42b-cf72-48fb-a70a-bda071a9117b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2e+10 2e+10 2e+10 2e+10 ... 7.464e+10 7.464e+10 7.464e+10 7.464e+10</span></div><div class='xr-array-data'><pre>array([[2.0000748e+10, 2.0000748e+10, 2.0000748e+10, ..., 2.0000748e+10,
         2.0000748e+10, 2.0000748e+10],
        [2.3237628e+10, 2.3237628e+10, 2.3237628e+10, ..., 2.3237628e+10,
         2.3237628e+10, 2.3237628e+10],
@@ -8934,23 +8951,23 @@ <h3>Broadcasting: expanding data<a class="headerlink" href="#broadcasting-expand
        [7.3700336e+10, 7.3700336e+10, 7.3700336e+10, ..., 7.3700336e+10,
         7.3700336e+10, 7.3700336e+10],
        [7.4643800e+10, 7.4643800e+10, 7.4643800e+10, ..., 7.4643800e+10,
-        7.4643800e+10, 7.4643800e+10]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e5b199b0-e8fd-4855-ae79-f44563148330' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e5b199b0-e8fd-4855-ae79-f44563148330' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-c946d262-a867-44a2-a9dc-7f6dc411b62d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c946d262-a867-44a2-a9dc-7f6dc411b62d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17ae1aac-8748-4df7-92b2-05ffd9f97661' class='xr-var-data-in' type='checkbox'><label for='data-17ae1aac-8748-4df7-92b2-05ffd9f97661' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        7.4643800e+10, 7.4643800e+10]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9d26ff7a-efae-4e08-86e2-20b0fb87883f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9d26ff7a-efae-4e08-86e2-20b0fb87883f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-020efb31-ef88-4ff2-8594-da8c3f5a0c02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-020efb31-ef88-4ff2-8594-da8c3f5a0c02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c2f3e73-fcca-40de-a5d2-fbcd8a221561' class='xr-var-data-in' type='checkbox'><label for='data-2c2f3e73-fcca-40de-a5d2-fbcd8a221561' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ca2c7170-fbe2-4f23-a57c-a8dabe6b0537' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca2c7170-fbe2-4f23-a57c-a8dabe6b0537' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5822844d-24b8-422e-a18d-6a12f37eeaf4' class='xr-var-data-in' type='checkbox'><label for='data-5822844d-24b8-422e-a18d-6a12f37eeaf4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-e7479196-f3e8-48c1-8784-1aac1cacc45b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7479196-f3e8-48c1-8784-1aac1cacc45b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ee98344-8370-4bb0-9fe2-10fecf0e2603' class='xr-var-data-in' type='checkbox'><label for='data-3ee98344-8370-4bb0-9fe2-10fecf0e2603' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63173a9c-3dff-46ae-a09f-36c823010185' class='xr-section-summary-in' type='checkbox'  ><label for='section-63173a9c-3dff-46ae-a09f-36c823010185' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-862101d1-5ec8-474d-b760-8eb0fd4e8c66' class='xr-index-data-in' type='checkbox'/><label for='index-862101d1-5ec8-474d-b760-8eb0fd4e8c66' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4aaa641f-0198-48c9-a384-e445f0cf81b0' class='xr-section-summary-in' type='checkbox'  ><label for='section-4aaa641f-0198-48c9-a384-e445f0cf81b0' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-89cb4908-2fcd-4db6-812b-13d2d2be1706' class='xr-index-data-in' type='checkbox'/><label for='index-89cb4908-2fcd-4db6-812b-13d2d2be1706' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-341cd4ab-00ba-4dfb-baf6-2551d83b7ca7' class='xr-index-data-in' type='checkbox'/><label for='index-341cd4ab-00ba-4dfb-baf6-2551d83b7ca7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-73bc35ea-2597-40fb-beb7-aed9735b0612' class='xr-index-data-in' type='checkbox'/><label for='index-73bc35ea-2597-40fb-beb7-aed9735b0612' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1c7d9a4c-d664-479b-9a17-9d495a434419' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1c7d9a4c-d664-479b-9a17-9d495a434419' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-06028592-f8a0-4d47-990a-80784a40225d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-06028592-f8a0-4d47-990a-80784a40225d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>The result has two dimensions because xarray realizes that dimensions <code class="docutils literal notranslate"><span class="pre">lon</span></code> and
 <code class="docutils literal notranslate"><span class="pre">lat</span></code> are different so it automatically “broadcasts” to get a 2D result. See the
@@ -8961,7 +8978,7 @@ <h3>Broadcasting: expanding data<a class="headerlink" href="#broadcasting-expand
 </section>
 <hr class="docutils" />
 <section id="alignment-putting-data-on-the-same-grid">
-<h3>Alignment: putting data on the same grid<a class="headerlink" href="#alignment-putting-data-on-the-same-grid" title="Permalink to this headline">#</a></h3>
+<h3>Alignment: putting data on the same grid<a class="headerlink" href="#alignment-putting-data-on-the-same-grid" title="Permalink to this heading">#</a></h3>
 <p>When doing arithmetic operations xarray automatically “aligns” i.e. puts the
 data on the same grid. In this case <code class="docutils literal notranslate"><span class="pre">cell_area</span></code> and <code class="docutils literal notranslate"><span class="pre">ds.air</span></code> are at the same
 lat, lon points we end up with a result with the same shape (25x53):</p>
@@ -9352,7 +9369,7 @@ <h3>Alignment: putting data on the same grid<a class="headerlink" href="#alignme
 Coordinates:
   * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-    time     datetime64[ns] 2013-01-01T06:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-41f06952-7707-4834-8025-0ba59da1b32c' class='xr-array-in' type='checkbox' checked><label for='section-41f06952-7707-4834-8025-0ba59da1b32c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.21e-08 1.213e-08 1.215e-08 ... 3.971e-09 3.971e-09 3.974e-09</span></div><div class='xr-array-data'><pre>array([[1.2104547e-08, 1.2134547e-08, 1.2154545e-08, ..., 1.1599567e-08,
+    time     datetime64[ns] 2013-01-01T06:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a728cf6f-e499-4157-8cb0-2ed544c5a9b9' class='xr-array-in' type='checkbox' checked><label for='section-a728cf6f-e499-4157-8cb0-2ed544c5a9b9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.21e-08 1.213e-08 1.215e-08 ... 3.971e-09 3.971e-09 3.974e-09</span></div><div class='xr-array-data'><pre>array([[1.2104547e-08, 1.2134547e-08, 1.2154545e-08, ..., 1.1599567e-08,
         1.1679563e-08, 1.1789559e-08],
        [1.0482998e-08, 1.0504514e-08, 1.0508818e-08, ..., 9.9407735e-09,
         1.0005325e-08, 1.0143031e-08],
@@ -9364,23 +9381,23 @@ <h3>Alignment: putting data on the same grid<a class="headerlink" href="#alignme
        [4.0189776e-09, 4.0257615e-09, 4.0269832e-09, ..., 4.0108366e-09,
         4.0094799e-09, 4.0040522e-09],
        [3.9693853e-09, 3.9815764e-09, 3.9842556e-09, ..., 3.9708588e-09,
-        3.9708588e-09, 3.9735384e-09]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b153b780-b072-4be1-b55c-e53adc1c8ff1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b153b780-b072-4be1-b55c-e53adc1c8ff1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-bd3d7370-47d1-4435-b3aa-f5095c311150' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd3d7370-47d1-4435-b3aa-f5095c311150' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91ae7433-a656-42e8-8337-021d2a1169d8' class='xr-var-data-in' type='checkbox'><label for='data-91ae7433-a656-42e8-8337-021d2a1169d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        3.9708588e-09, 3.9735384e-09]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-ba3fbe27-d9fb-42fb-bddb-22f7a9635021' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ba3fbe27-d9fb-42fb-bddb-22f7a9635021' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-af1a9da0-aeec-447b-b254-172fe4392b60' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af1a9da0-aeec-447b-b254-172fe4392b60' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6562b696-976d-4aed-bb8d-3f1b6a910af0' class='xr-var-data-in' type='checkbox'><label for='data-6562b696-976d-4aed-bb8d-3f1b6a910af0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-c07f215f-301d-428a-ba56-945ed77ca297' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c07f215f-301d-428a-ba56-945ed77ca297' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fc1d424-a5f8-4919-9c38-465b638c7e08' class='xr-var-data-in' type='checkbox'><label for='data-8fc1d424-a5f8-4919-9c38-465b638c7e08' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-886f3a97-7228-42de-8631-571b39597da5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-886f3a97-7228-42de-8631-571b39597da5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e2b07393-97d0-439f-94fc-b3b004f99085' class='xr-var-data-in' type='checkbox'><label for='data-e2b07393-97d0-439f-94fc-b3b004f99085' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01T06:00:00</div><input id='attrs-0f0c54aa-73ee-4075-a51c-eb5f6949aa62' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f0c54aa-73ee-4075-a51c-eb5f6949aa62' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab7ba350-630c-4bfc-9783-23175ef0ede6' class='xr-var-data-in' type='checkbox'><label for='data-ab7ba350-630c-4bfc-9783-23175ef0ede6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T06:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d0009be-04d0-465c-8182-335b0bbfad10' class='xr-section-summary-in' type='checkbox'  ><label for='section-0d0009be-04d0-465c-8182-335b0bbfad10' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b9526d83-8684-4c7b-bac7-831f552a3f04' class='xr-index-data-in' type='checkbox'/><label for='index-b9526d83-8684-4c7b-bac7-831f552a3f04' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01T06:00:00</div><input id='attrs-ffd41cec-1817-487d-8174-43e2621a17b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffd41cec-1817-487d-8174-43e2621a17b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e494a6af-62ff-44a1-8ab6-48873c4ee514' class='xr-var-data-in' type='checkbox'><label for='data-e494a6af-62ff-44a1-8ab6-48873c4ee514' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T06:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32f923c1-0f4d-4287-9f1e-0122ebd67a0a' class='xr-section-summary-in' type='checkbox'  ><label for='section-32f923c1-0f4d-4287-9f1e-0122ebd67a0a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d398ea04-7b26-46ef-8a82-8940f02ab70e' class='xr-index-data-in' type='checkbox'/><label for='index-d398ea04-7b26-46ef-8a82-8940f02ab70e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-91c931bc-e00d-486b-a10a-fcaac3bf3555' class='xr-index-data-in' type='checkbox'/><label for='index-91c931bc-e00d-486b-a10a-fcaac3bf3555' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-99ee3e6b-3ca6-46aa-b2c5-34b0506552b0' class='xr-index-data-in' type='checkbox'/><label for='index-99ee3e6b-3ca6-46aa-b2c5-34b0506552b0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e4750348-6795-4262-bafd-13155b23e843' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e4750348-6795-4262-bafd-13155b23e843' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7c698350-32f1-418a-b76c-5dc6e738ebaf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7c698350-32f1-418a-b76c-5dc6e738ebaf' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>Now lets make <code class="docutils literal notranslate"><span class="pre">cell_area</span></code> unaligned i.e. change the coordinate labels</p>
 <div class="cell docutils container">
@@ -9772,8 +9789,8 @@ <h3>Alignment: putting data on the same grid<a class="headerlink" href="#alignme
        [7.4643800e+10, 7.4643800e+10, 7.4643800e+10, ..., 7.4643800e+10,
         7.4643800e+10, 7.4643800e+10]], dtype=float32)
 Coordinates:
-  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
-  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e831e11c-bc3f-4b33-b5bb-a2b90bdcc7ac' class='xr-array-in' type='checkbox' checked><label for='section-e831e11c-bc3f-4b33-b5bb-a2b90bdcc7ac' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2e+10 2e+10 2e+10 2e+10 ... 7.464e+10 7.464e+10 7.464e+10 7.464e+10</span></div><div class='xr-array-data'><pre>array([[2.0000748e+10, 2.0000748e+10, 2.0000748e+10, ..., 2.0000748e+10,
+  * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
+  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f6219e48-5238-4a1c-a05c-41339e3b7831' class='xr-array-in' type='checkbox' checked><label for='section-f6219e48-5238-4a1c-a05c-41339e3b7831' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2e+10 2e+10 2e+10 2e+10 ... 7.464e+10 7.464e+10 7.464e+10 7.464e+10</span></div><div class='xr-array-data'><pre>array([[2.0000748e+10, 2.0000748e+10, 2.0000748e+10, ..., 2.0000748e+10,
         2.0000748e+10, 2.0000748e+10],
        [2.3237628e+10, 2.3237628e+10, 2.3237628e+10, ..., 2.3237628e+10,
         2.3237628e+10, 2.3237628e+10],
@@ -9785,15 +9802,21 @@ <h3>Alignment: putting data on the same grid<a class="headerlink" href="#alignme
        [7.3700336e+10, 7.3700336e+10, 7.3700336e+10, ..., 7.3700336e+10,
         7.3700336e+10, 7.3700336e+10],
        [7.4643800e+10, 7.4643800e+10, 7.4643800e+10, ..., 7.4643800e+10,
-        7.4643800e+10, 7.4643800e+10]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-cab5205b-a0ba-412c-b99d-d4edd2143133' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cab5205b-a0ba-412c-b99d-d4edd2143133' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-47d9eefb-71ee-4da8-8036-37f51d1dcd4c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47d9eefb-71ee-4da8-8036-37f51d1dcd4c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6f9b7c8-2133-452b-afa4-6446e9c50c67' class='xr-var-data-in' type='checkbox'><label for='data-d6f9b7c8-2133-452b-afa4-6446e9c50c67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75.00001, 72.50001, 70.00001, 67.50001, 65.00001, 62.50001, 60.00001,
-       57.50001, 55.00001, 52.50001, 50.00001, 47.50001, 45.00001, 42.50001,
-       40.00001, 37.50001, 35.00001, 32.50001, 30.00001, 27.50001, 25.00001,
-       22.50001, 20.00001, 17.50001, 15.00001], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-9156f3b3-43f9-47e5-b5d7-54835ecd5d54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9156f3b3-43f9-47e5-b5d7-54835ecd5d54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7db8f63c-97e3-47e1-b222-29215ff4a5bf' class='xr-var-data-in' type='checkbox'><label for='data-7db8f63c-97e3-47e1-b222-29215ff4a5bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+        7.4643800e+10, 7.4643800e+10]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-53b1d9cb-d0d6-4ed5-8e8f-33de34ca7563' class='xr-section-summary-in' type='checkbox'  checked><label for='section-53b1d9cb-d0d6-4ed5-8e8f-33de34ca7563' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-0c303691-d9ed-4f7f-80f2-24cde3ed2f5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c303691-d9ed-4f7f-80f2-24cde3ed2f5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f8afabd-8868-44c3-9fa2-10985d43bbc6' class='xr-var-data-in' type='checkbox'><label for='data-8f8afabd-8868-44c3-9fa2-10985d43bbc6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-575682cc-7dc4-4f14-a30c-0a565ad3705b' class='xr-section-summary-in' type='checkbox'  ><label for='section-575682cc-7dc4-4f14-a30c-0a565ad3705b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9b8a021e-ef00-4256-9832-7744c8a8dd55' class='xr-index-data-in' type='checkbox'/><label for='index-9b8a021e-ef00-4256-9832-7744c8a8dd55' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 75.00000762939453,  72.50000762939453,  70.00000762939453,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a6cae9fb-4f4a-4c6d-98d3-96a3d0f75fb4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a6cae9fb-4f4a-4c6d-98d3-96a3d0f75fb4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c40ed174-4255-4730-b32f-8600b133060f' class='xr-var-data-in' type='checkbox'><label for='data-c40ed174-4255-4730-b32f-8600b133060f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75.00001, 72.50001, 70.00001, 67.50001, 65.00001, 62.50001, 60.00001,
+       57.50001, 55.00001, 52.50001, 50.00001, 47.50001, 45.00001, 42.50001,
+       40.00001, 37.50001, 35.00001, 32.50001, 30.00001, 27.50001, 25.00001,
+       22.50001, 20.00001, 17.50001, 15.00001], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba573b32-eb18-4004-8982-ddfb815bf874' class='xr-section-summary-in' type='checkbox'  ><label for='section-ba573b32-eb18-4004-8982-ddfb815bf874' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bda9ace6-1af0-45e4-9837-370ab0a8a3bd' class='xr-index-data-in' type='checkbox'/><label for='index-bda9ace6-1af0-45e4-9837-370ab0a8a3bd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
+       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
+       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
+       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
+       325.0, 327.5, 330.0],
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eb4ec156-5b1b-4efa-9f97-54c92a46506d' class='xr-index-data-in' type='checkbox'/><label for='index-eb4ec156-5b1b-4efa-9f97-54c92a46506d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 75.00000762939453,  72.50000762939453,  70.00000762939453,
         67.50000762939453,  65.00000762939453,   62.5000114440918,
          60.0000114440918,   57.5000114440918,   55.0000114440918,
          52.5000114440918,   50.0000114440918,   47.5000114440918,
@@ -9802,13 +9825,7 @@ <h3>Alignment: putting data on the same grid<a class="headerlink" href="#alignme
        30.000009536743164, 27.500009536743164, 25.000009536743164,
        22.500009536743164, 20.000009536743164, 17.500009536743164,
        15.000009536743164],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9587bb7f-755d-4b77-b240-ca56a8359b5c' class='xr-index-data-in' type='checkbox'/><label for='index-9587bb7f-755d-4b77-b240-ca56a8359b5c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
-       225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
-       250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
-       275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
-       300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
-       325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5534606d-d1f5-4d23-8854-10a19441b684' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5534606d-d1f5-4d23-8854-10a19441b684' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5fe3448d-7bbd-4c49-aac6-c147d053fedc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5fe3448d-7bbd-4c49-aac6-c147d053fedc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -10183,20 +10200,20 @@ <h3>Alignment: putting data on the same grid<a class="headerlink" href="#alignme
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 0, lon: 53)&gt;
 array([], shape=(0, 53), dtype=float32)
 Coordinates:
-  * lat      (lat) float32 
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-    time     datetime64[ns] 2013-01-01T06:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 0</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-68577efc-08d0-49b2-8510-cc6279b1acd2' class='xr-array-in' type='checkbox' checked><label for='section-68577efc-08d0-49b2-8510-cc6279b1acd2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span></span></div><div class='xr-array-data'><pre>array([], shape=(0, 53), dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7c740686-361e-46dd-8489-413894fdde25' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7c740686-361e-46dd-8489-413894fdde25' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'></div><input id='attrs-17f36c70-b574-41ef-a314-0daf681b41c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-17f36c70-b574-41ef-a314-0daf681b41c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a5c89a33-0209-46df-8ac9-34bf7daa74c3' class='xr-var-data-in' type='checkbox'><label for='data-a5c89a33-0209-46df-8ac9-34bf7daa74c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-626c035e-b516-4770-95c5-05fb67977d7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-626c035e-b516-4770-95c5-05fb67977d7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f04eaba-5dd8-4967-b71d-0f9c331ddff1' class='xr-var-data-in' type='checkbox'><label for='data-1f04eaba-5dd8-4967-b71d-0f9c331ddff1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+  * lat      (lat) float32 
+    time     datetime64[ns] 2013-01-01T06:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 0</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5be04914-74b7-4088-b036-f57f62d4c6ee' class='xr-array-in' type='checkbox' checked><label for='section-5be04914-74b7-4088-b036-f57f62d4c6ee' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span></span></div><div class='xr-array-data'><pre>array([], shape=(0, 53), dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-09378f31-b70a-4662-853f-9f1cb681e8d2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-09378f31-b70a-4662-853f-9f1cb681e8d2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-688a6c63-ce13-494e-beb5-bc4ac357144c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-688a6c63-ce13-494e-beb5-bc4ac357144c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b78a179-cf76-4998-8dcc-d1cb7a781f24' class='xr-var-data-in' type='checkbox'><label for='data-4b78a179-cf76-4998-8dcc-d1cb7a781f24' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01T06:00:00</div><input id='attrs-d696f563-a765-49f3-9078-c8d9b8c6ee3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d696f563-a765-49f3-9078-c8d9b8c6ee3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5feb29e4-7fd1-48f8-b736-b60f6cde2e1d' class='xr-var-data-in' type='checkbox'><label for='data-5feb29e4-7fd1-48f8-b736-b60f6cde2e1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T06:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-39ff02df-4a35-405c-9f6c-f292706a6866' class='xr-section-summary-in' type='checkbox'  ><label for='section-39ff02df-4a35-405c-9f6c-f292706a6866' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c5fc8526-cd5e-48d3-b12b-518d7f70358f' class='xr-index-data-in' type='checkbox'/><label for='index-c5fc8526-cd5e-48d3-b12b-518d7f70358f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fc8c9815-0e50-40c5-8b30-79b5efc09667' class='xr-index-data-in' type='checkbox'/><label for='index-fc8c9815-0e50-40c5-8b30-79b5efc09667' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'></div><input id='attrs-251b08bc-4089-49d8-a61b-708cfdcd8dfc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-251b08bc-4089-49d8-a61b-708cfdcd8dfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e39be20f-4df7-42d5-88df-cda764b67eb3' class='xr-var-data-in' type='checkbox'><label for='data-e39be20f-4df7-42d5-88df-cda764b67eb3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01T06:00:00</div><input id='attrs-a9b7717e-2c83-4090-b122-f1586b5f54e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9b7717e-2c83-4090-b122-f1586b5f54e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca5e1783-5a49-4348-a813-236069bae95f' class='xr-var-data-in' type='checkbox'><label for='data-ca5e1783-5a49-4348-a813-236069bae95f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2013-01-01T06:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-38e8869e-e9a8-467b-8e21-dfaaf0bd874b' class='xr-section-summary-in' type='checkbox'  ><label for='section-38e8869e-e9a8-467b-8e21-dfaaf0bd874b' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-617698f8-d61b-4478-8b13-02e6915232f4' class='xr-index-data-in' type='checkbox'/><label for='index-617698f8-d61b-4478-8b13-02e6915232f4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b0b2a66a-3aa5-428f-bb43-6458d768f9be' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b0b2a66a-3aa5-428f-bb43-6458d768f9be' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3c9a6953-6508-4735-9025-6aa8630d5e89' class='xr-index-data-in' type='checkbox'/><label for='index-3c9a6953-6508-4735-9025-6aa8630d5e89' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([], dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f2a51a95-31ac-4445-abe0-c7edfa88e3c1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f2a51a95-31ac-4445-abe0-c7edfa88e3c1' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>The result is an empty array with no latitude coordinates because none of them were aligned!</p>
 <p><strong>Tip:</strong> If you notice extra NaNs or missing points after xarray computation, it
@@ -10216,40 +10233,40 @@ <h3>Alignment: putting data on the same grid<a class="headerlink" href="#alignme
 <span class="n">Cell</span> <span class="n">In</span><span class="p">[</span><span class="mi">36</span><span class="p">],</span> <span class="n">line</span> <span class="mi">1</span>
 <span class="ne">----&gt; </span><span class="mi">1</span> <span class="n">xr</span><span class="o">.</span><span class="n">align</span><span class="p">(</span><span class="n">cell_area_bad</span><span class="p">,</span> <span class="n">ds</span><span class="o">.</span><span class="n">air</span><span class="p">,</span> <span class="n">join</span><span class="o">=</span><span class="s2">&quot;exact&quot;</span><span class="p">)</span>
 
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:787,</span> in <span class="ni">align</span><span class="nt">(join, copy, indexes, exclude, fill_value, *objects)</span>
-<span class="g g-Whitespace">    </span><span class="mi">591</span><span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">592</span><span class="sd"> Given any number of Dataset and/or DataArray objects, returns new</span>
-<span class="g g-Whitespace">    </span><span class="mi">593</span><span class="sd"> objects with aligned indexes and dimension sizes.</span>
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:888,</span> in <span class="ni">align</span><span class="nt">(join, copy, indexes, exclude, fill_value, *objects)</span>
+<span class="g g-Whitespace">    </span><span class="mi">692</span><span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="g g-Whitespace">    </span><span class="mi">693</span><span class="sd"> Given any number of Dataset and/or DataArray objects, returns new</span>
+<span class="g g-Whitespace">    </span><span class="mi">694</span><span class="sd"> objects with aligned indexes and dimension sizes.</span>
 <span class="sd">   (...)</span>
-<span class="g g-Whitespace">    </span><span class="mi">777</span><span class="sd"> </span>
-<span class="g g-Whitespace">    </span><span class="mi">778</span><span class="sd"> &quot;&quot;&quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">779</span> <span class="n">aligner</span> <span class="o">=</span> <span class="n">Aligner</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">780</span>     <span class="n">objects</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">781</span>     <span class="n">join</span><span class="o">=</span><span class="n">join</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">878</span><span class="sd"> </span>
+<span class="g g-Whitespace">    </span><span class="mi">879</span><span class="sd"> &quot;&quot;&quot;</span>
+<span class="g g-Whitespace">    </span><span class="mi">880</span> <span class="n">aligner</span> <span class="o">=</span> <span class="n">Aligner</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">881</span>     <span class="n">objects</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">882</span>     <span class="n">join</span><span class="o">=</span><span class="n">join</span><span class="p">,</span>
    <span class="p">(</span><span class="o">...</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">785</span>     <span class="n">fill_value</span><span class="o">=</span><span class="n">fill_value</span><span class="p">,</span>
-<span class="g g-Whitespace">    </span><span class="mi">786</span> <span class="p">)</span>
-<span class="ne">--&gt; </span><span class="mi">787</span> <span class="n">aligner</span><span class="o">.</span><span class="n">align</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">788</span> <span class="k">return</span> <span class="n">aligner</span><span class="o">.</span><span class="n">results</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:572,</span> in <span class="ni">Aligner.align</span><span class="nt">(self)</span>
-<span class="g g-Whitespace">    </span><span class="mi">570</span> <span class="bp">self</span><span class="o">.</span><span class="n">find_matching_unindexed_dims</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">571</span> <span class="bp">self</span><span class="o">.</span><span class="n">assert_no_index_conflict</span><span class="p">()</span>
-<span class="ne">--&gt; </span><span class="mi">572</span> <span class="bp">self</span><span class="o">.</span><span class="n">align_indexes</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">573</span> <span class="bp">self</span><span class="o">.</span><span class="n">assert_unindexed_dim_sizes_equal</span><span class="p">()</span>
-<span class="g g-Whitespace">    </span><span class="mi">575</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">join</span> <span class="o">==</span> <span class="s2">&quot;override&quot;</span><span class="p">:</span>
-
-<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:417,</span> in <span class="ni">Aligner.align_indexes</span><span class="nt">(self)</span>
-<span class="g g-Whitespace">    </span><span class="mi">415</span> <span class="k">if</span> <span class="n">need_reindex</span><span class="p">:</span>
-<span class="g g-Whitespace">    </span><span class="mi">416</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">join</span> <span class="o">==</span> <span class="s2">&quot;exact&quot;</span><span class="p">:</span>
-<span class="ne">--&gt; </span><span class="mi">417</span>         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
-<span class="g g-Whitespace">    </span><span class="mi">418</span>             <span class="s2">&quot;cannot align objects with join=&#39;exact&#39; where &quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">419</span>             <span class="s2">&quot;index/labels/sizes are not equal along &quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">420</span>             <span class="s2">&quot;these coordinates (dimensions): &quot;</span>
-<span class="g g-Whitespace">    </span><span class="mi">421</span>             <span class="o">+</span> <span class="s2">&quot;, &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">name</span><span class="si">!r}</span><span class="s2"> </span><span class="si">{</span><span class="n">dims</span><span class="si">!r}</span><span class="s2">&quot;</span> <span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">dims</span> <span class="ow">in</span> <span class="n">key</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
-<span class="g g-Whitespace">    </span><span class="mi">422</span>         <span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">423</span>     <span class="n">joiner</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_index_joiner</span><span class="p">(</span><span class="n">index_cls</span><span class="p">)</span>
-<span class="g g-Whitespace">    </span><span class="mi">424</span>     <span class="n">joined_index</span> <span class="o">=</span> <span class="n">joiner</span><span class="p">(</span><span class="n">matching_indexes</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">886</span>     <span class="n">fill_value</span><span class="o">=</span><span class="n">fill_value</span><span class="p">,</span>
+<span class="g g-Whitespace">    </span><span class="mi">887</span> <span class="p">)</span>
+<span class="ne">--&gt; </span><span class="mi">888</span> <span class="n">aligner</span><span class="o">.</span><span class="n">align</span><span class="p">()</span>
+<span class="g g-Whitespace">    </span><span class="mi">889</span> <span class="k">return</span> <span class="n">aligner</span><span class="o">.</span><span class="n">results</span>
+
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:574,</span> in <span class="ni">Aligner.align</span><span class="nt">(self)</span>
+<span class="g g-Whitespace">    </span><span class="mi">572</span> <span class="bp">self</span><span class="o">.</span><span class="n">find_matching_unindexed_dims</span><span class="p">()</span>
+<span class="g g-Whitespace">    </span><span class="mi">573</span> <span class="bp">self</span><span class="o">.</span><span class="n">assert_no_index_conflict</span><span class="p">()</span>
+<span class="ne">--&gt; </span><span class="mi">574</span> <span class="bp">self</span><span class="o">.</span><span class="n">align_indexes</span><span class="p">()</span>
+<span class="g g-Whitespace">    </span><span class="mi">575</span> <span class="bp">self</span><span class="o">.</span><span class="n">assert_unindexed_dim_sizes_equal</span><span class="p">()</span>
+<span class="g g-Whitespace">    </span><span class="mi">577</span> <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">join</span> <span class="o">==</span> <span class="s2">&quot;override&quot;</span><span class="p">:</span>
+
+<span class="nn">File ~/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/alignment.py:421,</span> in <span class="ni">Aligner.align_indexes</span><span class="nt">(self)</span>
+<span class="g g-Whitespace">    </span><span class="mi">419</span> <span class="k">if</span> <span class="n">need_reindex</span><span class="p">:</span>
+<span class="g g-Whitespace">    </span><span class="mi">420</span>     <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">join</span> <span class="o">==</span> <span class="s2">&quot;exact&quot;</span><span class="p">:</span>
+<span class="ne">--&gt; </span><span class="mi">421</span>         <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+<span class="g g-Whitespace">    </span><span class="mi">422</span>             <span class="s2">&quot;cannot align objects with join=&#39;exact&#39; where &quot;</span>
+<span class="g g-Whitespace">    </span><span class="mi">423</span>             <span class="s2">&quot;index/labels/sizes are not equal along &quot;</span>
+<span class="g g-Whitespace">    </span><span class="mi">424</span>             <span class="s2">&quot;these coordinates (dimensions): &quot;</span>
+<span class="g g-Whitespace">    </span><span class="mi">425</span>             <span class="o">+</span> <span class="s2">&quot;, &quot;</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">name</span><span class="si">!r}</span><span class="s2"> </span><span class="si">{</span><span class="n">dims</span><span class="si">!r}</span><span class="s2">&quot;</span> <span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">dims</span> <span class="ow">in</span> <span class="n">key</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+<span class="g g-Whitespace">    </span><span class="mi">426</span>         <span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">427</span>     <span class="n">joiner</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_get_index_joiner</span><span class="p">(</span><span class="n">index_cls</span><span class="p">)</span>
+<span class="g g-Whitespace">    </span><span class="mi">428</span>     <span class="n">joined_index</span> <span class="o">=</span> <span class="n">joiner</span><span class="p">(</span><span class="n">matching_indexes</span><span class="p">)</span>
 
 <span class="ne">ValueError</span>: cannot align objects with join=&#39;exact&#39; where index/labels/sizes are not equal along these coordinates (dimensions): &#39;lat&#39; (&#39;lat&#39;,)
 </pre></div>
@@ -10261,7 +10278,7 @@ <h3>Alignment: putting data on the same grid<a class="headerlink" href="#alignme
 </section>
 <hr class="docutils" />
 <section id="high-level-computation">
-<h2>High level computation<a class="headerlink" href="#high-level-computation" title="Permalink to this headline">#</a></h2>
+<h2>High level computation<a class="headerlink" href="#high-level-computation" title="Permalink to this heading">#</a></h2>
 <p>(<code class="docutils literal notranslate"><span class="pre">groupby</span></code>, <code class="docutils literal notranslate"><span class="pre">resample</span></code>, <code class="docutils literal notranslate"><span class="pre">rolling</span></code>, <code class="docutils literal notranslate"><span class="pre">coarsen</span></code>, <code class="docutils literal notranslate"><span class="pre">weighted</span></code>)</p>
 <p>Xarray has some very useful high level objects that let you do common
 computations:</p>
@@ -10279,7 +10296,7 @@ <h2>High level computation<a class="headerlink" href="#high-level-computation" t
 </ol>
 <p>Below we quickly demonstrate these patterns. See the user guide links above and <a class="reference external" href="https://tutorial.xarray.dev/intermediate/01-high-level-computation-patterns.html">the tutorial</a> for more.</p>
 <section id="groupby">
-<h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headline">#</a></h3>
+<h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># here&#39;s ds</span>
@@ -10664,17 +10681,17 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-72fcf066-30d4-469e-81cb-c263de765e0e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-72fcf066-30d4-469e-81cb-c263de765e0e' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-05bda6f4-52a5-412a-a30e-5c2382e2545a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05bda6f4-52a5-412a-a30e-5c2382e2545a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a64f3f23-c602-4740-afba-0ba26b59ea47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a64f3f23-c602-4740-afba-0ba26b59ea47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89e252c7-8300-4865-bb53-47320d2d0bd5' class='xr-var-data-in' type='checkbox'><label for='data-89e252c7-8300-4865-bb53-47320d2d0bd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1aa85385-9f05-4655-b4c0-1b1fa0fc7f99' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1aa85385-9f05-4655-b4c0-1b1fa0fc7f99' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-36f19057-353a-4f15-9da4-2f9172d037c8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-36f19057-353a-4f15-9da4-2f9172d037c8' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-8509730a-2beb-411b-b3bd-2cb13f489103' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8509730a-2beb-411b-b3bd-2cb13f489103' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41e683c4-9c4a-4128-ad59-c8f06b5b15dd' class='xr-var-data-in' type='checkbox'><label for='data-41e683c4-9c4a-4128-ad59-c8f06b5b15dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-0c70ab5f-3e16-4b97-854b-c4368bc17ffa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c70ab5f-3e16-4b97-854b-c4368bc17ffa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98e422dc-1d8d-4fe1-bcf7-549737b50eae' class='xr-var-data-in' type='checkbox'><label for='data-98e422dc-1d8d-4fe1-bcf7-549737b50eae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-4bba7d96-d178-4ad5-8ff8-6f9b29a5c70c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bba7d96-d178-4ad5-8ff8-6f9b29a5c70c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75f868d2-0aba-4965-8e1b-b1284f2c64ad' class='xr-var-data-in' type='checkbox'><label for='data-75f868d2-0aba-4965-8e1b-b1284f2c64ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-4d314c59-dd45-442b-b7df-a8c9590d1fee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d314c59-dd45-442b-b7df-a8c9590d1fee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1535d120-99b0-401b-8aea-7980b0161a05' class='xr-var-data-in' type='checkbox'><label for='data-1535d120-99b0-401b-8aea-7980b0161a05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-477c12cb-2696-41b8-96a6-bec664955f93' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-477c12cb-2696-41b8-96a6-bec664955f93' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10182808-9ecc-4c1f-bd6f-75604053d484' class='xr-var-data-in' type='checkbox'><label for='data-10182808-9ecc-4c1f-bd6f-75604053d484' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e48930de-e065-46e8-a454-2539aec49d0e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e48930de-e065-46e8-a454-2539aec49d0e' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-339a0a9b-e5c4-469f-85ff-749c5e0d5472' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-339a0a9b-e5c4-469f-85ff-749c5e0d5472' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e70145e-d1da-4194-9e4d-6abc528184a4' class='xr-var-data-in' type='checkbox'><label for='data-2e70145e-d1da-4194-9e4d-6abc528184a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd58f526-4a0a-4928-9188-ae4216e975a8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dd58f526-4a0a-4928-9188-ae4216e975a8' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.2 295.7</div><input id='attrs-9bdfc52b-5a1f-4dc2-a852-ba45ff67051d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9bdfc52b-5a1f-4dc2-a852-ba45ff67051d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df06af2e-6a28-4c0c-912e-b873ab163580' class='xr-var-data-in' type='checkbox'><label for='data-df06af2e-6a28-4c0c-912e-b873ab163580' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [243.79999, 244.5    , 244.7    , ..., 232.79999, 235.29999,
          239.29999],
@@ -10714,16 +10731,16 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
         [296.09   , 296.88998, 297.19   , ..., 295.69   , 295.69   ,
          295.19   ],
         [297.69   , 298.09   , 298.09   , ..., 296.49   , 296.19   ,
-         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ff9823a-3b30-4852-9eef-89e9d055fe71' class='xr-section-summary-in' type='checkbox'  ><label for='section-4ff9823a-3b30-4852-9eef-89e9d055fe71' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-367fb5a2-9f35-44da-9534-0a70872e83ea' class='xr-index-data-in' type='checkbox'/><label for='index-367fb5a2-9f35-44da-9534-0a70872e83ea' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         295.69   ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-109f96aa-aba0-4a9a-8724-763839a66b5c' class='xr-section-summary-in' type='checkbox'  ><label for='section-109f96aa-aba0-4a9a-8724-763839a66b5c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d54616e4-5915-419c-b4b6-bd25cdd356a3' class='xr-index-data-in' type='checkbox'/><label for='index-d54616e4-5915-419c-b4b6-bd25cdd356a3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5d9a60be-edef-4272-a917-78f0581aeb31' class='xr-index-data-in' type='checkbox'/><label for='index-5d9a60be-edef-4272-a917-78f0581aeb31' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a0e50c0d-e18d-4409-909e-106b614ddf26' class='xr-index-data-in' type='checkbox'/><label for='index-a0e50c0d-e18d-4409-909e-106b614ddf26' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bd114e35-1501-474d-a180-1cc913b4f6bd' class='xr-index-data-in' type='checkbox'/><label for='index-bd114e35-1501-474d-a180-1cc913b4f6bd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-37bc2390-c7e6-47d7-98c2-91123d224fb8' class='xr-index-data-in' type='checkbox'/><label for='index-37bc2390-c7e6-47d7-98c2-91123d224fb8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -10734,7 +10751,7 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-19bec603-0eca-42ed-9b36-5b79ca06e5fb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-19bec603-0eca-42ed-9b36-5b79ca06e5fb' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c58e0395-4fde-4ce5-b188-2d8bac8c7de7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c58e0395-4fde-4ce5-b188-2d8bac8c7de7' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -11136,14 +11153,14 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-78005cc4-5e4d-4c2e-9199-3ec6c9a1e628' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-78005cc4-5e4d-4c2e-9199-3ec6c9a1e628' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>season</span>: 4</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b64f3051-f0dc-4022-9157-02ecd0f21f27' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b64f3051-f0dc-4022-9157-02ecd0f21f27' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-576d52a9-4541-4f98-b0cb-fa370d642d8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-576d52a9-4541-4f98-b0cb-fa370d642d8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcfaae02-ef96-4ad0-b3a2-6bd60b9b6fa6' class='xr-var-data-in' type='checkbox'><label for='data-dcfaae02-ef96-4ad0-b3a2-6bd60b9b6fa6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-68999597-ad16-458b-8155-686ddf1b5d38' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-68999597-ad16-458b-8155-686ddf1b5d38' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>season</span>: 4</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ebb197a0-dcb0-40ff-9b6d-5add8eb01544' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ebb197a0-dcb0-40ff-9b6d-5add8eb01544' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-9083173c-7749-4f48-983e-2c357bce0938' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9083173c-7749-4f48-983e-2c357bce0938' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7d99a21e-fd9d-465d-a818-6d74b30a8478' class='xr-var-data-in' type='checkbox'><label for='data-7d99a21e-fd9d-465d-a818-6d74b30a8478' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-a4ef7db0-88f5-48df-b88e-fe210f32d49a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4ef7db0-88f5-48df-b88e-fe210f32d49a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37ec55ca-1638-4766-9c26-68b7002dfc1d' class='xr-var-data-in' type='checkbox'><label for='data-37ec55ca-1638-4766-9c26-68b7002dfc1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-d86b9e31-3b92-4f2b-b017-b1b9a63701e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d86b9e31-3b92-4f2b-b017-b1b9a63701e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79d0e1cd-518f-49a0-992b-0f502e9c9bf7' class='xr-var-data-in' type='checkbox'><label for='data-79d0e1cd-518f-49a0-992b-0f502e9c9bf7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;</div><input id='attrs-bc1cdcd8-d040-4973-8009-3e0a206d8058' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bc1cdcd8-d040-4973-8009-3e0a206d8058' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ad499546-8269-4d96-92e2-c93902b5baf6' class='xr-var-data-in' type='checkbox'><label for='data-ad499546-8269-4d96-92e2-c93902b5baf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33635969-c78b-405e-88d8-4d80d2188623' class='xr-section-summary-in' type='checkbox'  checked><label for='section-33635969-c78b-405e-88d8-4d80d2188623' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>247.0 247.0 246.7 ... 299.4 299.5</div><input id='attrs-260ba5fe-8e2b-49bd-acb8-efcffd70e78e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-260ba5fe-8e2b-49bd-acb8-efcffd70e78e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7448acce-fb29-4403-a77a-9571e50fc53d' class='xr-var-data-in' type='checkbox'><label for='data-7448acce-fb29-4403-a77a-9571e50fc53d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[247.01007, 246.95503, 246.71684, ..., 241.55386, 242.69449,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;</div><input id='attrs-4a673ede-51bc-413c-afe7-a35fca41fa08' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a673ede-51bc-413c-afe7-a35fca41fa08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a7b706f-3943-4ef8-aeac-d65249ad3308' class='xr-var-data-in' type='checkbox'><label for='data-5a7b706f-3943-4ef8-aeac-d65249ad3308' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fab0d5b9-d60d-4ca8-97e8-201b3165c253' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fab0d5b9-d60d-4ca8-97e8-201b3165c253' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>247.0 247.0 246.7 ... 299.4 299.5</div><input id='attrs-eff771f1-ef80-49ea-a7de-4aea621812a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eff771f1-ef80-49ea-a7de-4aea621812a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-276d3eb6-9e12-499d-bca1-91b0a7d44873' class='xr-var-data-in' type='checkbox'><label for='data-276d3eb6-9e12-499d-bca1-91b0a7d44873' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[247.01007, 246.95503, 246.71684, ..., 241.55386, 242.69449,
          244.23262],
         [248.83022, 248.98196, 248.93813, ..., 240.31064, 242.24562,
          245.32053],
@@ -11183,16 +11200,16 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
         [299.2114 , 299.02353, 298.54553, ..., 298.85175, 298.93045,
          298.72104],
         [299.21207, 299.26212, 299.0019 , ..., 299.36758, 299.37134,
-         299.47427]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-151a066d-c592-4d42-bf93-f68037c65d18' class='xr-section-summary-in' type='checkbox'  ><label for='section-151a066d-c592-4d42-bf93-f68037c65d18' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6c9cccec-aa90-4f9b-a534-61d00151960b' class='xr-index-data-in' type='checkbox'/><label for='index-6c9cccec-aa90-4f9b-a534-61d00151960b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         299.47427]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9663657c-2682-42a4-b454-ae4f9cc7d0ae' class='xr-section-summary-in' type='checkbox'  ><label for='section-9663657c-2682-42a4-b454-ae4f9cc7d0ae' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8f225421-5ce8-46cb-8bb3-57f15118601b' class='xr-index-data-in' type='checkbox'/><label for='index-8f225421-5ce8-46cb-8bb3-57f15118601b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-62048a05-617d-43db-9a4a-d88a2fcfddbc' class='xr-index-data-in' type='checkbox'/><label for='index-62048a05-617d-43db-9a4a-d88a2fcfddbc' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6e3830df-9420-4a5c-9f97-31f5fd116eb9' class='xr-index-data-in' type='checkbox'/><label for='index-6e3830df-9420-4a5c-9f97-31f5fd116eb9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5b90f886-e19a-418a-95cb-34f55bddcd07' class='xr-index-data-in' type='checkbox'/><label for='index-5b90f886-e19a-418a-95cb-34f55bddcd07' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-695b75c5-275c-4874-9172-8c7e6c0fa608' class='xr-section-summary-in' type='checkbox'  checked><label for='section-695b75c5-275c-4874-9172-8c7e6c0fa608' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-be0624c8-c5aa-423a-b5df-9789c71d18aa' class='xr-index-data-in' type='checkbox'/><label for='index-be0624c8-c5aa-423a-b5df-9789c71d18aa' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e4584e18-0451-49da-bc25-b02c1024ef43' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e4584e18-0451-49da-bc25-b02c1024ef43' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>The seasons are out of order (they are alphabetically sorted). This is a common
@@ -11581,14 +11598,14 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-aef1f0e4-4f39-4eae-85f2-beaea5d79b13' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-aef1f0e4-4f39-4eae-85f2-beaea5d79b13' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>season</span>: 4</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-66655a3f-3f3d-459e-b9d9-567f2a5ebb1f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-66655a3f-3f3d-459e-b9d9-567f2a5ebb1f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a9ae9554-438a-4c0e-bb46-11c2835eda49' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9ae9554-438a-4c0e-bb46-11c2835eda49' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0653eb04-f567-43a5-ac0b-8a2104591d13' class='xr-var-data-in' type='checkbox'><label for='data-0653eb04-f567-43a5-ac0b-8a2104591d13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-01f321f4-7606-4b19-bf5d-6968f0d5689a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-01f321f4-7606-4b19-bf5d-6968f0d5689a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>season</span>: 4</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-32a6e3b5-2340-4151-9bd7-a437a971d1b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-32a6e3b5-2340-4151-9bd7-a437a971d1b1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-f901ae80-3400-4a51-9c11-818f9a7c898a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f901ae80-3400-4a51-9c11-818f9a7c898a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-913d686a-e963-4c0f-89d1-bfe1316ac2e5' class='xr-var-data-in' type='checkbox'><label for='data-913d686a-e963-4c0f-89d1-bfe1316ac2e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ae0740b8-9602-49a8-9bdc-c795377dd4da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae0740b8-9602-49a8-9bdc-c795377dd4da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e77dd7a-3ef6-4d0d-81b6-54ce8089a966' class='xr-var-data-in' type='checkbox'><label for='data-4e77dd7a-3ef6-4d0d-81b6-54ce8089a966' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-2e5a61de-97ce-4133-a96d-092222cbfc3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e5a61de-97ce-4133-a96d-092222cbfc3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b6deaf1-6445-4efe-9309-5e96b5f0d813' class='xr-var-data-in' type='checkbox'><label for='data-9b6deaf1-6445-4efe-9309-5e96b5f0d813' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;MAM&#x27; &#x27;JJA&#x27; &#x27;SON&#x27;</div><input id='attrs-608c66c1-e64e-479c-a7b2-24f04da5366a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-608c66c1-e64e-479c-a7b2-24f04da5366a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-096da482-3c98-48dc-b01b-df1ce8a40d1e' class='xr-var-data-in' type='checkbox'><label for='data-096da482-3c98-48dc-b01b-df1ce8a40d1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DJF&#x27;, &#x27;MAM&#x27;, &#x27;JJA&#x27;, &#x27;SON&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ea18f187-d837-4c60-bbb6-436cadce0fd8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ea18f187-d837-4c60-bbb6-436cadce0fd8' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>247.0 247.0 246.7 ... 299.4 299.5</div><input id='attrs-ecbfa5f6-d1d5-4960-9804-99581e6a8f35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecbfa5f6-d1d5-4960-9804-99581e6a8f35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03c39d17-49a4-48c3-b6b8-33b728792634' class='xr-var-data-in' type='checkbox'><label for='data-03c39d17-49a4-48c3-b6b8-33b728792634' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[247.01007, 246.95503, 246.71684, ..., 241.55386, 242.69449,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;MAM&#x27; &#x27;JJA&#x27; &#x27;SON&#x27;</div><input id='attrs-963e4d22-d519-4b8d-8dc4-a0b240572d63' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-963e4d22-d519-4b8d-8dc4-a0b240572d63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-af999b3a-8054-48d8-bad7-599724d6abca' class='xr-var-data-in' type='checkbox'><label for='data-af999b3a-8054-48d8-bad7-599724d6abca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DJF&#x27;, &#x27;MAM&#x27;, &#x27;JJA&#x27;, &#x27;SON&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9ed77d8c-9aa0-4bce-b9e0-1e048280d169' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ed77d8c-9aa0-4bce-b9e0-1e048280d169' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>247.0 247.0 246.7 ... 299.4 299.5</div><input id='attrs-0e50924a-279d-46e8-8618-b15987403100' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e50924a-279d-46e8-8618-b15987403100' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09efa49c-b96b-4f69-bddb-ea2f8510ed6f' class='xr-var-data-in' type='checkbox'><label for='data-09efa49c-b96b-4f69-bddb-ea2f8510ed6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[247.01007, 246.95503, 246.71684, ..., 241.55386, 242.69449,
          244.23262],
         [248.83022, 248.98196, 248.93813, ..., 240.31064, 242.24562,
          245.32053],
@@ -11628,16 +11645,16 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
         [299.2114 , 299.02353, 298.54553, ..., 298.85175, 298.93045,
          298.72104],
         [299.21207, 299.26212, 299.0019 , ..., 299.36758, 299.37134,
-         299.47427]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-562d21d5-efd8-4707-8fc7-82dc5c16d468' class='xr-section-summary-in' type='checkbox'  ><label for='section-562d21d5-efd8-4707-8fc7-82dc5c16d468' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7b63be72-7e8b-486b-a8a4-65f47d0e1d00' class='xr-index-data-in' type='checkbox'/><label for='index-7b63be72-7e8b-486b-a8a4-65f47d0e1d00' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         299.47427]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-be5d8e09-d135-45ac-a9b7-eeeb0f09baf3' class='xr-section-summary-in' type='checkbox'  ><label for='section-be5d8e09-d135-45ac-a9b7-eeeb0f09baf3' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1ed62e7b-d981-400b-a2a6-177b36f185c6' class='xr-index-data-in' type='checkbox'/><label for='index-1ed62e7b-d981-400b-a2a6-177b36f185c6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1a6c0858-241a-439d-acc4-df5a9c234b25' class='xr-index-data-in' type='checkbox'/><label for='index-1a6c0858-241a-439d-acc4-df5a9c234b25' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e7794153-d646-4d69-92cb-8e191d423138' class='xr-index-data-in' type='checkbox'/><label for='index-e7794153-d646-4d69-92cb-8e191d423138' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-98fef552-3e33-49e9-b493-83a320a36340' class='xr-index-data-in' type='checkbox'/><label for='index-98fef552-3e33-49e9-b493-83a320a36340' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DJF&#x27;, &#x27;MAM&#x27;, &#x27;JJA&#x27;, &#x27;SON&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e58c299-eef6-48f1-96b8-32518df2400e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e58c299-eef6-48f1-96b8-32518df2400e' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1d6f9f75-6ae6-4dc8-a0ae-c3313728e562' class='xr-index-data-in' type='checkbox'/><label for='index-1d6f9f75-6ae6-4dc8-a0ae-c3313728e562' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DJF&#x27;, &#x27;MAM&#x27;, &#x27;JJA&#x27;, &#x27;SON&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e37700fa-9005-4cdd-94a1-a9e66d20d96f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e37700fa-9005-4cdd-94a1-a9e66d20d96f' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -11647,15 +11664,15 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7fbcd878dd90&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7f96534b8190&gt;
 </pre></div>
 </div>
-<img alt="../_images/75b1fdbd4f7b447525781a761b299c322101575ae2caa135a1295f59848c404d.png" src="../_images/75b1fdbd4f7b447525781a761b299c322101575ae2caa135a1295f59848c404d.png" />
+<img alt="../_images/c277862776f7a6426da44c89aba6e4032ab341478bbaf9f9c08e65b5e8ff7d43.png" src="../_images/c277862776f7a6426da44c89aba6e4032ab341478bbaf9f9c08e65b5e8ff7d43.png" />
 </div>
 </div>
 </section>
 <section id="resample">
-<h3>resample<a class="headerlink" href="#resample" title="Permalink to this headline">#</a></h3>
+<h3>resample<a class="headerlink" href="#resample" title="Permalink to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># resample to monthly frequency</span>
@@ -11664,6 +11681,10 @@ <h3>resample<a class="headerlink" href="#resample" title="Permalink to this head
 </div>
 </div>
 <div class="cell_output docutils container">
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/home/runner/micromamba/envs/xarray-tutorial/lib/python3.11/site-packages/xarray/core/groupby.py:534: FutureWarning: &#39;M&#39; is deprecated and will be removed in a future version, please use &#39;ME&#39; instead.
+  index_grouper = pd.Grouper(
+</pre></div>
+</div>
 <div class="output text_html"><div><svg style="position: absolute; width: 0; height: 0; overflow: hidden">
 <defs>
 <symbol id="icon-database" viewBox="0 0 32 32">
@@ -12040,14 +12061,14 @@ <h3>resample<a class="headerlink" href="#resample" title="Permalink to this head
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-229aa3ab-090c-4113-9815-2b524b067e5d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-229aa3ab-090c-4113-9815-2b524b067e5d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 24</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-9a9ad597-3e81-45dd-a3d7-cc295b020474' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9a9ad597-3e81-45dd-a3d7-cc295b020474' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-4a0b5d4a-1573-4fcb-94a5-5dbc4eaafd80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a0b5d4a-1573-4fcb-94a5-5dbc4eaafd80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4c02b1e-85ec-4d1e-a950-2d9374747026' class='xr-var-data-in' type='checkbox'><label for='data-a4c02b1e-85ec-4d1e-a950-2d9374747026' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5dc15a3f-f0c7-4f9b-9ae2-9860a772f89d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5dc15a3f-f0c7-4f9b-9ae2-9860a772f89d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 24</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-65b3ba43-3403-4e8b-81ee-47bd48be023e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-65b3ba43-3403-4e8b-81ee-47bd48be023e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-6d8b8a36-c7d5-40cc-a081-9ea946e6b463' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d8b8a36-c7d5-40cc-a081-9ea946e6b463' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-626b76d6-1abe-49e7-a50d-56f80f231389' class='xr-var-data-in' type='checkbox'><label for='data-626b76d6-1abe-49e7-a50d-56f80f231389' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-77195d9f-4359-4ee2-a60e-f30055299bef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77195d9f-4359-4ee2-a60e-f30055299bef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a1bb4fc-d8e7-41cb-9461-bd2238c4a7c4' class='xr-var-data-in' type='checkbox'><label for='data-2a1bb4fc-d8e7-41cb-9461-bd2238c4a7c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-5346c90b-2a1d-4318-9d1e-f517e0d39dc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5346c90b-2a1d-4318-9d1e-f517e0d39dc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d547b603-45cc-4a63-8bf0-a7e3f4642386' class='xr-var-data-in' type='checkbox'><label for='data-d547b603-45cc-4a63-8bf0-a7e3f4642386' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-31 ... 2014-12-31</div><input id='attrs-f6813040-3d20-494b-ab86-99a6843058dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6813040-3d20-494b-ab86-99a6843058dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42fdc4ef-8274-40f2-83a4-1e71b14c91c0' class='xr-var-data-in' type='checkbox'><label for='data-42fdc4ef-8274-40f2-83a4-1e71b14c91c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-31T00:00:00.000000000&#x27;, &#x27;2013-02-28T00:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-31 ... 2014-12-31</div><input id='attrs-35a294db-898a-404a-9157-b7d3d835c4e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35a294db-898a-404a-9157-b7d3d835c4e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-723d58d1-c7ca-4c12-9a1c-72e61d3449e8' class='xr-var-data-in' type='checkbox'><label for='data-723d58d1-c7ca-4c12-9a1c-72e61d3449e8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-31T00:00:00.000000000&#x27;, &#x27;2013-02-28T00:00:00.000000000&#x27;,
        &#x27;2013-03-31T00:00:00.000000000&#x27;, &#x27;2013-04-30T00:00:00.000000000&#x27;,
        &#x27;2013-05-31T00:00:00.000000000&#x27;, &#x27;2013-06-30T00:00:00.000000000&#x27;,
        &#x27;2013-07-31T00:00:00.000000000&#x27;, &#x27;2013-08-31T00:00:00.000000000&#x27;,
@@ -12059,7 +12080,7 @@ <h3>resample<a class="headerlink" href="#resample" title="Permalink to this head
        &#x27;2014-07-31T00:00:00.000000000&#x27;, &#x27;2014-08-31T00:00:00.000000000&#x27;,
        &#x27;2014-09-30T00:00:00.000000000&#x27;, &#x27;2014-10-31T00:00:00.000000000&#x27;,
        &#x27;2014-11-30T00:00:00.000000000&#x27;, &#x27;2014-12-31T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc630e28-d82d-43c3-8b98-6d49a2b940ef' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc630e28-d82d-43c3-8b98-6d49a2b940ef' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>244.5 244.7 244.7 ... 297.7 297.7</div><input id='attrs-7bc55e67-3fd2-42d9-b705-f01c3bad147d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bc55e67-3fd2-42d9-b705-f01c3bad147d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dd98148-90fc-4f15-a692-d19bb9370d0f' class='xr-var-data-in' type='checkbox'><label for='data-1dd98148-90fc-4f15-a692-d19bb9370d0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[244.4667 , 244.66354, 244.67027, ..., 242.49142, 243.40633,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dc5fb9d1-666d-417e-87ea-f31a5d1b28b1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dc5fb9d1-666d-417e-87ea-f31a5d1b28b1' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>244.5 244.7 244.7 ... 297.7 297.7</div><input id='attrs-bd41c08f-29dc-4b99-8291-8637917a10c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd41c08f-29dc-4b99-8291-8637917a10c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bebb2c5e-80a8-450c-8153-cb4facdd2861' class='xr-var-data-in' type='checkbox'><label for='data-bebb2c5e-80a8-450c-8153-cb4facdd2861' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>array([[[244.4667 , 244.66354, 244.67027, ..., 242.49142, 243.40633,
          244.67577],
         [247.07323, 247.02248, 246.7275 , ..., 240.58205, 242.04489,
          244.70726],
@@ -12099,27 +12120,27 @@ <h3>resample<a class="headerlink" href="#resample" title="Permalink to this head
         [297.44586, 297.43613, 297.1817 , ..., 296.95242, 297.05823,
          296.72897],
         [298.0472 , 298.22598, 298.0595 , ..., 297.6975 , 297.72318,
-         297.71024]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-52a96939-45b4-4305-87c0-29068323c88c' class='xr-section-summary-in' type='checkbox'  ><label for='section-52a96939-45b4-4305-87c0-29068323c88c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3dab40cd-c585-4137-8eda-11959e808614' class='xr-index-data-in' type='checkbox'/><label for='index-3dab40cd-c585-4137-8eda-11959e808614' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         297.71024]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-23fa3495-33aa-4bc5-8804-19c5932d6061' class='xr-section-summary-in' type='checkbox'  ><label for='section-23fa3495-33aa-4bc5-8804-19c5932d6061' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-78096646-783c-40f6-b626-94f8e21c9e0e' class='xr-index-data-in' type='checkbox'/><label for='index-78096646-783c-40f6-b626-94f8e21c9e0e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1a36b0fc-b503-433a-82c5-7b36e1c36673' class='xr-index-data-in' type='checkbox'/><label for='index-1a36b0fc-b503-433a-82c5-7b36e1c36673' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-61430d29-2913-4ae5-8761-d14d3ea60b24' class='xr-index-data-in' type='checkbox'/><label for='index-61430d29-2913-4ae5-8761-d14d3ea60b24' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f45d8bec-0cc1-447f-9a25-7dd4fbb9e90a' class='xr-index-data-in' type='checkbox'/><label for='index-f45d8bec-0cc1-447f-9a25-7dd4fbb9e90a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-31&#x27;, &#x27;2013-02-28&#x27;, &#x27;2013-03-31&#x27;, &#x27;2013-04-30&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-50e385a8-04a2-42b4-ad67-06212daf8da9' class='xr-index-data-in' type='checkbox'/><label for='index-50e385a8-04a2-42b4-ad67-06212daf8da9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-31&#x27;, &#x27;2013-02-28&#x27;, &#x27;2013-03-31&#x27;, &#x27;2013-04-30&#x27;,
                &#x27;2013-05-31&#x27;, &#x27;2013-06-30&#x27;, &#x27;2013-07-31&#x27;, &#x27;2013-08-31&#x27;,
                &#x27;2013-09-30&#x27;, &#x27;2013-10-31&#x27;, &#x27;2013-11-30&#x27;, &#x27;2013-12-31&#x27;,
                &#x27;2014-01-31&#x27;, &#x27;2014-02-28&#x27;, &#x27;2014-03-31&#x27;, &#x27;2014-04-30&#x27;,
                &#x27;2014-05-31&#x27;, &#x27;2014-06-30&#x27;, &#x27;2014-07-31&#x27;, &#x27;2014-08-31&#x27;,
                &#x27;2014-09-30&#x27;, &#x27;2014-10-31&#x27;, &#x27;2014-11-30&#x27;, &#x27;2014-12-31&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;M&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3d856f9b-4885-4121-b80a-8d5a94dfffbe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3d856f9b-4885-4121-b80a-8d5a94dfffbe' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;ME&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9b030ccc-b7e5-4c53-9ecb-3e4f99b98b57' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9b030ccc-b7e5-4c53-9ecb-3e4f99b98b57' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="weighted">
-<h3>weighted<a class="headerlink" href="#weighted" title="Permalink to this headline">#</a></h3>
+<h3>weighted<a class="headerlink" href="#weighted" title="Permalink to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># weight by cell_area and take mean over (time, lon)</span>
@@ -12128,14 +12149,14 @@ <h3>weighted<a class="headerlink" href="#weighted" title="Permalink to this head
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/944e2f806416605060bf594207a974cf00aa98bd65321412260091887069d4f4.png" src="../_images/944e2f806416605060bf594207a974cf00aa98bd65321412260091887069d4f4.png" />
+<img alt="../_images/c80677a7babfcb634e997325f1feec6f43f8862157ace8775f3ce78f5b07f4a2.png" src="../_images/c80677a7babfcb634e997325f1feec6f43f8862157ace8775f3ce78f5b07f4a2.png" />
 </div>
 </div>
 </section>
 </section>
 <hr class="docutils" />
 <section id="visualization">
-<h2>Visualization<a class="headerlink" href="#visualization" title="Permalink to this headline">#</a></h2>
+<h2>Visualization<a class="headerlink" href="#visualization" title="Permalink to this heading">#</a></h2>
 <p>(<code class="docutils literal notranslate"><span class="pre">.plot</span></code>)</p>
 <p>We have seen very simple plots earlier. Xarray also lets you easily visualize
 3D and 4D datasets by presenting multiple facets (or panels or subplots) showing
@@ -12148,7 +12169,7 @@ <h2>Visualization<a class="headerlink" href="#visualization" title="Permalink to
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/48099256045c762a7f5be662fbc5049533a6ebdc670f56fcf34bfb96aebc867a.png" src="../_images/48099256045c762a7f5be662fbc5049533a6ebdc670f56fcf34bfb96aebc867a.png" />
+<img alt="../_images/8bc1e84381af7b591838c97cead308c2ce4512887b9d60e016638e3cbca77a7c.png" src="../_images/8bc1e84381af7b591838c97cead308c2ce4512887b9d60e016638e3cbca77a7c.png" />
 </div>
 </div>
 <div class="cell docutils container">
@@ -12159,7 +12180,7 @@ <h2>Visualization<a class="headerlink" href="#visualization" title="Permalink to
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/2aa3b1888dad53acc69252b9f39588e216c1f6905a8e0b3fb8a7f53bfb487ff9.png" src="../_images/2aa3b1888dad53acc69252b9f39588e216c1f6905a8e0b3fb8a7f53bfb487ff9.png" />
+<img alt="../_images/84671bd0e7e48e7675d30bbb275f81dfbd107c1ec0da239fed5e3a330caeaeb8.png" src="../_images/84671bd0e7e48e7675d30bbb275f81dfbd107c1ec0da239fed5e3a330caeaeb8.png" />
 </div>
 </div>
 <div class="cell docutils container">
@@ -12170,14 +12191,14 @@ <h2>Visualization<a class="headerlink" href="#visualization" title="Permalink to
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../_images/592e1b150935937b573dad169bc5c53ab9160ad4df3e6f9d96ba8ce13f7dcb65.png" src="../_images/592e1b150935937b573dad169bc5c53ab9160ad4df3e6f9d96ba8ce13f7dcb65.png" />
+<img alt="../_images/2621ccf0d19b26cc3f0fa8f4cd80289f52a6161aae819e11923e6cea5bacbc85.png" src="../_images/2621ccf0d19b26cc3f0fa8f4cd80289f52a6161aae819e11923e6cea5bacbc85.png" />
 </div>
 </div>
 <p>For more see the <a class="reference external" href="https://docs.xarray.dev/en/stable/plotting.html">user guide</a>, the <a class="reference external" href="https://docs.xarray.dev/en/stable/examples/visualization_gallery.html">gallery</a>, and <a class="reference external" href="https://tutorial.xarray.dev/fundamentals/04.0_plotting.html">the tutorial material</a>.</p>
 </section>
 <hr class="docutils" />
 <section id="reading-and-writing-files">
-<h2>Reading and writing files<a class="headerlink" href="#reading-and-writing-files" title="Permalink to this headline">#</a></h2>
+<h2>Reading and writing files<a class="headerlink" href="#reading-and-writing-files" title="Permalink to this heading">#</a></h2>
 <p>Xarray supports many disk formats. Below is a small example using netCDF. For
 more see the <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/io.html">documentation</a></p>
 <div class="cell docutils container">
@@ -12188,7 +12209,7 @@ <h2>Reading and writing files<a class="headerlink" href="#reading-and-writing-fi
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_4343/1659397704.py:2: SerializationWarning: saving variable air with floating point data as an integer dtype without any _FillValue to use for NaNs
+<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/tmp/ipykernel_4441/1659397704.py:2: SerializationWarning: saving variable air with floating point data as an integer dtype without any _FillValue to use for NaNs
   ds.to_netcdf(&quot;my-example-dataset.nc&quot;)
 </pre></div>
 </div>
@@ -12583,26 +12604,26 @@ <h2>Reading and writing files<a class="headerlink" href="#reading-and-writing-fi
     title:        4x daily NMC reanalysis (1948)
     description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
     platform:     Model
-    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-01446e26-2c9d-462c-bd8e-0d9ffc68755b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-01446e26-2c9d-462c-bd8e-0d9ffc68755b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-a9cf1597-a733-4dbb-9882-f581edb30ef6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a9cf1597-a733-4dbb-9882-f581edb30ef6' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-c6b035e0-03fc-442e-8901-c0a5f9ede05d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6b035e0-03fc-442e-8901-c0a5f9ede05d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-991e209d-8738-4bfd-95ea-7eaae2aa998d' class='xr-var-data-in' type='checkbox'><label for='data-991e209d-8738-4bfd-95ea-7eaae2aa998d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8b7e3942-eaa2-49f4-b09b-2e625ab225c3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8b7e3942-eaa2-49f4-b09b-2e625ab225c3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-afadbd2a-2e5b-4eaf-ad5b-0b975c66662f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-afadbd2a-2e5b-4eaf-ad5b-0b975c66662f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-7b825675-f5f3-4a31-9b74-26fe3e7f75b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7b825675-f5f3-4a31-9b74-26fe3e7f75b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c9b72ec-1e0e-4afa-b6c0-d9097424ba6c' class='xr-var-data-in' type='checkbox'><label for='data-1c9b72ec-1e0e-4afa-b6c0-d9097424ba6c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-3d0f4961-7816-445c-9212-dbff9bb9d880' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d0f4961-7816-445c-9212-dbff9bb9d880' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb85ad91-c31e-4bad-8ef7-c8c71fe443ee' class='xr-var-data-in' type='checkbox'><label for='data-cb85ad91-c31e-4bad-8ef7-c8c71fe443ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-a92f3e04-46fd-4d4c-b335-6cf9b3090b8e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a92f3e04-46fd-4d4c-b335-6cf9b3090b8e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fffbddc7-a299-42bf-8941-52e4252673f4' class='xr-var-data-in' type='checkbox'><label for='data-fffbddc7-a299-42bf-8941-52e4252673f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-7d82ea24-c9dd-48e4-9e97-d006e9e32a63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d82ea24-c9dd-48e4-9e97-d006e9e32a63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b03630fd-4d37-418d-955a-9edc9a584d70' class='xr-var-data-in' type='checkbox'><label for='data-b03630fd-4d37-418d-955a-9edc9a584d70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-0499139b-151b-4c29-b1f2-8e50ddf8548f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0499139b-151b-4c29-b1f2-8e50ddf8548f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9821911a-7004-4049-a9ea-01ce51e2d75b' class='xr-var-data-in' type='checkbox'><label for='data-9821911a-7004-4049-a9ea-01ce51e2d75b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a6a2e1be-057e-4857-93c5-095131ee5c73' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6a2e1be-057e-4857-93c5-095131ee5c73' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f53a2b6e-74bf-4eae-8e88-2c4e3e5a9571' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f53a2b6e-74bf-4eae-8e88-2c4e3e5a9571' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2081fb2b-7a85-4382-93e2-b6d70f3644ca' class='xr-var-data-in' type='checkbox'><label for='data-2081fb2b-7a85-4382-93e2-b6d70f3644ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>[3869000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ed8f151-c54c-4614-a51d-45aba4c0da00' class='xr-section-summary-in' type='checkbox'  ><label for='section-6ed8f151-c54c-4614-a51d-45aba4c0da00' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9fbb84f7-29d3-4a03-ad7f-856fa81d4f40' class='xr-index-data-in' type='checkbox'/><label for='index-9fbb84f7-29d3-4a03-ad7f-856fa81d4f40' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bf057a6c-9106-40dc-9916-d2d9b9d38701' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bf057a6c-9106-40dc-9916-d2d9b9d38701' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-00f26fac-a03f-4b15-8d6b-fa2a7a3517ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00f26fac-a03f-4b15-8d6b-fa2a7a3517ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cd3e89c-849a-4367-8635-8be4d89df1db' class='xr-var-data-in' type='checkbox'><label for='data-1cd3e89c-849a-4367-8635-8be4d89df1db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div><div class='xr-var-data'><pre>[3869000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dfd54b32-e2f4-49fe-bc43-a4cf5216d64a' class='xr-section-summary-in' type='checkbox'  ><label for='section-dfd54b32-e2f4-49fe-bc43-a4cf5216d64a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-28a12f9a-f7c5-4971-922f-912a9c333f51' class='xr-index-data-in' type='checkbox'/><label for='index-28a12f9a-f7c5-4971-922f-912a9c333f51' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f44041a2-7a8d-46a2-a237-04c01eb936e2' class='xr-index-data-in' type='checkbox'/><label for='index-f44041a2-7a8d-46a2-a237-04c01eb936e2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c8a4aa3f-742f-478a-8e5c-3645a628451b' class='xr-index-data-in' type='checkbox'/><label for='index-c8a4aa3f-742f-478a-8e5c-3645a628451b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ab4bf086-ff43-4e1c-b900-de422e6ee502' class='xr-index-data-in' type='checkbox'/><label for='index-ab4bf086-ff43-4e1c-b900-de422e6ee502' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ef31c093-e743-4662-9aae-63125367f10f' class='xr-index-data-in' type='checkbox'/><label for='index-ef31c093-e743-4662-9aae-63125367f10f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -12613,7 +12634,7 @@ <h2>Reading and writing files<a class="headerlink" href="#reading-and-writing-fi
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6f7c579f-b3d5-4d1e-b0c9-4f11a840d144' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f7c579f-b3d5-4d1e-b0c9-4f11a840d144' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cc8c612-6760-48d4-b7ed-abd31f03edd4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6cc8c612-6760-48d4-b7ed-abd31f03edd4' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>COARDS</dd><dt><span>title :</span></dt><dd>4x daily NMC reanalysis (1948)</dd><dt><span>description :</span></dt><dd>Data is from NMC initialized reanalysis
 (4x/day).  These are the 0.9950 sigma level values.</dd><dt><span>platform :</span></dt><dd>Model</dd><dt><span>references :</span></dt><dd>http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
@@ -12637,13 +12658,13 @@ <h2>Reading and writing files<a class="headerlink" href="#reading-and-writing-fi
 </section>
 <hr class="docutils" />
 <section id="the-scientific-python-ecosystem">
-<h2>The scientific python ecosystem<a class="headerlink" href="#the-scientific-python-ecosystem" title="Permalink to this headline">#</a></h2>
+<h2>The scientific python ecosystem<a class="headerlink" href="#the-scientific-python-ecosystem" title="Permalink to this heading">#</a></h2>
 <p>Xarray ties in to the larger scientific python ecosystem and in turn many
 packages build on top of xarray. A long list of such packages is here:
 <a class="reference external" href="https://docs.xarray.dev/en/stable/related-projects.html">https://docs.xarray.dev/en/stable/related-projects.html</a>.</p>
 <p>Now we will demonstrate some cool features.</p>
 <section id="pandas-tabular-data-structures">
-<h3>Pandas: tabular data structures<a class="headerlink" href="#pandas-tabular-data-structures" title="Permalink to this headline">#</a></h3>
+<h3>Pandas: tabular data structures<a class="headerlink" href="#pandas-tabular-data-structures" title="Permalink to this heading">#</a></h3>
 <p>You can easily <a class="reference external" href="https://docs.xarray.dev/en/stable/pandas.html">convert</a> between xarray and <a class="reference external" href="https://pandas.pydata.org/">pandas</a> structures. This allows you to conveniently use the extensive pandas
 ecosystem of packages (like <a class="reference external" href="https://seaborn.pydata.org/">seaborn</a>) for your work.</p>
 <div class="cell docutils container">
@@ -13118,19 +13139,19 @@ <h3>Pandas: tabular data structures<a class="headerlink" href="#pandas-tabular-d
   * time     (time) datetime64[ns] 2013-01-01 ... 2013-01-03T06:00:00
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
 Data variables:
-    air      (lat, time, lon) float32 241.2 242.5 243.5 ... 296.9 296.8 297.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3f2661e7-91cf-419f-809d-1502f485accd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3f2661e7-91cf-419f-809d-1502f485accd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 10</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d131089b-197b-44d8-bb0c-487d5f40b945' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d131089b-197b-44d8-bb0c-487d5f40b945' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-68039e8e-18fc-4eda-86e1-06bad316a94e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-68039e8e-18fc-4eda-86e1-06bad316a94e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91ebdaf1-9c05-431c-8675-793bf011559c' class='xr-var-data-in' type='checkbox'><label for='data-91ebdaf1-9c05-431c-8675-793bf011559c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+    air      (lat, time, lon) float32 241.2 242.5 243.5 ... 296.9 296.8 297.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-091c5fc8-3f06-4b56-bc54-f91a7f8ea0c6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-091c5fc8-3f06-4b56-bc54-f91a7f8ea0c6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>time</span>: 10</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fc55090e-73a9-4c53-8ced-4285a90c3860' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fc55090e-73a9-4c53-8ced-4285a90c3860' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-923fb0b0-6a64-41a4-94aa-c3dc0d4bf0b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-923fb0b0-6a64-41a4-94aa-c3dc0d4bf0b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62acba39-222d-4459-bdea-d85c9c9dd672' class='xr-var-data-in' type='checkbox'><label for='data-62acba39-222d-4459-bdea-d85c9c9dd672' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-03T06:00:00</div><input id='attrs-0b53489d-edf1-40b9-a3c0-d2a6f1229b2a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b53489d-edf1-40b9-a3c0-d2a6f1229b2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db909da2-de79-40fe-a486-11cd8c8b52a8' class='xr-var-data-in' type='checkbox'><label for='data-db909da2-de79-40fe-a486-11cd8c8b52a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2013-01-03T06:00:00</div><input id='attrs-413c6287-4db9-466d-9c27-e5e64c0ab6c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-413c6287-4db9-466d-9c27-e5e64c0ab6c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee256b48-405e-4d2c-a3c2-24959777fe51' class='xr-var-data-in' type='checkbox'><label for='data-ee256b48-405e-4d2c-a3c2-24959777fe51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, &#x27;2013-01-01T18:00:00.000000000&#x27;,
        &#x27;2013-01-02T00:00:00.000000000&#x27;, &#x27;2013-01-02T06:00:00.000000000&#x27;,
        &#x27;2013-01-02T12:00:00.000000000&#x27;, &#x27;2013-01-02T18:00:00.000000000&#x27;,
        &#x27;2013-01-03T00:00:00.000000000&#x27;, &#x27;2013-01-03T06:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-a23836d4-37a3-4b2d-842c-975d65445dee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a23836d4-37a3-4b2d-842c-975d65445dee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8a86f1b-8aee-4112-a61a-0b5c6da83603' class='xr-var-data-in' type='checkbox'><label for='data-d8a86f1b-8aee-4112-a61a-0b5c6da83603' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-b952c274-812f-40db-a6b4-b1687927363c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b952c274-812f-40db-a6b4-b1687927363c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87ffcb10-fccd-42b2-bcf4-52cd6e4738ad' class='xr-var-data-in' type='checkbox'><label for='data-87ffcb10-fccd-42b2-bcf4-52cd6e4738ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-68dd6b35-c8d5-410e-b690-5860ba2f2696' class='xr-section-summary-in' type='checkbox'  checked><label for='section-68dd6b35-c8d5-410e-b690-5860ba2f2696' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(lat, time, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.8 297.1</div><input id='attrs-490f4c6e-83a6-4bc6-89cb-ff5b510e8f01' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-490f4c6e-83a6-4bc6-89cb-ff5b510e8f01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c218854-9fea-4353-ae9e-cb0a207ea7cd' class='xr-var-data-in' type='checkbox'><label for='data-4c218854-9fea-4353-ae9e-cb0a207ea7cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-428833c3-e940-4094-9330-6be0e67627a4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-428833c3-e940-4094-9330-6be0e67627a4' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>air</span></div><div class='xr-var-dims'>(lat, time, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>241.2 242.5 243.5 ... 296.8 297.1</div><input id='attrs-002c04c3-2ad0-42d3-83a6-83d22c7fa2b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-002c04c3-2ad0-42d3-83a6-83d22c7fa2b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a28203a-92fe-43d2-a807-2536b551c7da' class='xr-var-data-in' type='checkbox'><label for='data-9a28203a-92fe-43d2-a807-2536b551c7da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[241.2    , 242.5    , 243.5    , ..., 232.79999, 235.5    ,
          238.59999],
         [242.09999, 242.7    , 243.09999, ..., 232.     , 233.59999,
          235.79999],
@@ -13170,25 +13191,25 @@ <h3>Pandas: tabular data structures<a class="headerlink" href="#pandas-tabular-d
         [297.9    , 297.69998, 297.19998, ..., 297.19998, 297.19998,
          297.     ],
         [298.1    , 297.69998, 297.29   , ..., 296.9    , 296.79   ,
-         297.1    ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-12de5d74-9883-48dc-b3c1-0ec99e736fdd' class='xr-section-summary-in' type='checkbox'  ><label for='section-12de5d74-9883-48dc-b3c1-0ec99e736fdd' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-79a20674-ef90-4994-af18-41e08ecfaeca' class='xr-index-data-in' type='checkbox'/><label for='index-79a20674-ef90-4994-af18-41e08ecfaeca' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+         297.1    ]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-682fe548-e3a2-41a9-a9dc-d536d33ab66d' class='xr-section-summary-in' type='checkbox'  ><label for='section-682fe548-e3a2-41a9-a9dc-d536d33ab66d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-513f99c0-e3a1-42be-a58f-0e42a6699ce7' class='xr-index-data-in' type='checkbox'/><label for='index-513f99c0-e3a1-42be-a58f-0e42a6699ce7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b8c8426e-cbc0-43f7-9048-c1ed7dcfc846' class='xr-index-data-in' type='checkbox'/><label for='index-b8c8426e-cbc0-43f7-9048-c1ed7dcfc846' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ed7dbb44-7373-4637-b46a-5fdd298a8bc7' class='xr-index-data-in' type='checkbox'/><label for='index-ed7dbb44-7373-4637-b46a-5fdd298a8bc7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
                &#x27;2013-01-03 00:00:00&#x27;, &#x27;2013-01-03 06:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a724ba28-d5c7-4bea-8f2f-d2a036b1a574' class='xr-index-data-in' type='checkbox'/><label for='index-a724ba28-d5c7-4bea-8f2f-d2a036b1a574' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e4b8e3b1-fb6f-4968-a33f-72901a2a8f9f' class='xr-index-data-in' type='checkbox'/><label for='index-e4b8e3b1-fb6f-4968-a33f-72901a2a8f9f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6430f3dc-59a8-45bc-9af9-19deeceada9b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6430f3dc-59a8-45bc-9af9-19deeceada9b' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f12f27b-b9a5-44b6-ba24-f1c8f2800b7f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2f12f27b-b9a5-44b6-ba24-f1c8f2800b7f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="alternative-array-types">
-<h3>Alternative array types<a class="headerlink" href="#alternative-array-types" title="Permalink to this headline">#</a></h3>
+<h3>Alternative array types<a class="headerlink" href="#alternative-array-types" title="Permalink to this heading">#</a></h3>
 <p>This notebook has focused on Numpy arrays. Xarray can wrap <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/duckarrays.html">other array</a> types! For example:</p>
 <p><a class="reference internal" href="https://docs.dask.org/en/stable/_images/dask_horizontal.svg"><img alt="https://docs.dask.org/en/stable/_images/dask_horizontal.svg" src="https://docs.dask.org/en/stable/_images/dask_horizontal.svg" width="20%" /></a> <a class="reference external" href="https://docs.dask.org/en/latest/array.html">distributed parallel arrays</a> &amp; <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/dask.html">Xarray user guide on Dask</a></p>
 <p><a class="reference internal" href="https://raw.githubusercontent.com/pydata/sparse/master/docs/logo.svg"><img alt="https://raw.githubusercontent.com/pydata/sparse/master/docs/logo.svg" src="https://raw.githubusercontent.com/pydata/sparse/master/docs/logo.svg" width="15%" /></a> <strong>pydata/sparse</strong> : <a class="reference external" href="https://sparse.pydata.org">sparse arrays</a></p>
@@ -13196,7 +13217,7 @@ <h3>Alternative array types<a class="headerlink" href="#alternative-array-types"
 <p><a class="reference internal" href="https://pint.readthedocs.io/en/stable/_static/logo-full.jpg"><img alt="https://pint.readthedocs.io/en/stable/_static/logo-full.jpg" src="https://pint.readthedocs.io/en/stable/_static/logo-full.jpg" style="width: 10%;" /></a> <strong>pint</strong> : <a class="reference external" href="https://pint.readthedocs.io">unit-aware arrays</a> &amp; <a class="reference external" href="https://github.com/xarray-contrib/pint-xarray">pint-xarray</a></p>
 </section>
 <section id="dask">
-<h3>Dask<a class="headerlink" href="#dask" title="Permalink to this headline">#</a></h3>
+<h3>Dask<a class="headerlink" href="#dask" title="Permalink to this heading">#</a></h3>
 <p>Dask cuts up NumPy arrays into blocks and parallelizes your analysis code across
 these blocks</p>
 <img alt="https://raw.githubusercontent.com/dask/dask/main/docs/source/images/dask-array.svg" src="https://raw.githubusercontent.com/dask/dask/main/docs/source/images/dask-array.svg" /><div class="cell docutils container">
@@ -13592,7 +13613,7 @@ <h3>Dask<a class="headerlink" href="#dask" title="Permalink to this headline">#<
     level_desc:    Surface
     statistic:     Individual Obs
     parent_stat:   Other
-    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6053a651-e451-4d21-838b-b376a60a72b3' class='xr-array-in' type='checkbox' checked><label for='section-6053a651-e451-4d21-838b-b376a60a72b3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(10, 25, 53), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+    actual_range:  [185.16 322.1 ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-28bcc7bf-d0fc-486b-9d93-2542a6491415' class='xr-array-in' type='checkbox' checked><label for='section-28bcc7bf-d0fc-486b-9d93-2542a6491415' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(10, 25, 53), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -13706,26 +13727,26 @@ <h3>Dask<a class="headerlink" href="#dask" title="Permalink to this headline">#<
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-6f5fca59-159d-4a9b-b23b-a46f2d5e397f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f5fca59-159d-4a9b-b23b-a46f2d5e397f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-cc9727fe-14cb-45d8-8807-d229ea0c0bae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc9727fe-14cb-45d8-8807-d229ea0c0bae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a585ae05-777d-407a-8ff6-20c600304b79' class='xr-var-data-in' type='checkbox'><label for='data-a585ae05-777d-407a-8ff6-20c600304b79' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+</table></div></div></li><li class='xr-section-item'><input id='section-9afc4944-a247-4600-a436-dd10c9d060f7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9afc4944-a247-4600-a436-dd10c9d060f7' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-95ad2271-defa-498d-8ecb-2f3a71208a3d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95ad2271-defa-498d-8ecb-2f3a71208a3d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-acb131fd-ea95-4f41-84fa-8e2d7ee56ee8' class='xr-var-data-in' type='checkbox'><label for='data-acb131fd-ea95-4f41-84fa-8e2d7ee56ee8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-a20af58c-8aeb-4757-a9d3-5e311dd552d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a20af58c-8aeb-4757-a9d3-5e311dd552d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5e51fb5-bd88-4194-9df7-45c72f05362e' class='xr-var-data-in' type='checkbox'><label for='data-f5e51fb5-bd88-4194-9df7-45c72f05362e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-df8e2d22-811b-4f20-86ce-6444c6ab8aaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df8e2d22-811b-4f20-86ce-6444c6ab8aaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47406800-020d-40d8-ac8d-8eaa0003267e' class='xr-var-data-in' type='checkbox'><label for='data-47406800-020d-40d8-ac8d-8eaa0003267e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-25506f6a-fde5-4ac7-b8bf-376eee88b56b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-25506f6a-fde5-4ac7-b8bf-376eee88b56b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12eae92e-f134-4986-8fd9-9ce2d5188fc9' class='xr-var-data-in' type='checkbox'><label for='data-12eae92e-f134-4986-8fd9-9ce2d5188fc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-868fcf92-5f4c-4188-9081-87002ae6588d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-868fcf92-5f4c-4188-9081-87002ae6588d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-292f3e70-1eb1-4b3e-9222-d7062afc11c6' class='xr-var-data-in' type='checkbox'><label for='data-292f3e70-1eb1-4b3e-9222-d7062afc11c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3bd2c8c8-ae85-44da-a2c7-ea1d9e49dadc' class='xr-section-summary-in' type='checkbox'  ><label for='section-3bd2c8c8-ae85-44da-a2c7-ea1d9e49dadc' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b3168f7d-9e00-4fe3-8324-6a0b4efccbe3' class='xr-index-data-in' type='checkbox'/><label for='index-b3168f7d-9e00-4fe3-8324-6a0b4efccbe3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-43b0df3d-a8c7-4220-ba2d-8f86d7ebaac4' class='xr-section-summary-in' type='checkbox'  ><label for='section-43b0df3d-a8c7-4220-ba2d-8f86d7ebaac4' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a450330b-88f2-4447-b05b-bf40dfce1bdb' class='xr-index-data-in' type='checkbox'/><label for='index-a450330b-88f2-4447-b05b-bf40dfce1bdb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-344e86ce-7f45-4fd2-95eb-10050a68a111' class='xr-index-data-in' type='checkbox'/><label for='index-344e86ce-7f45-4fd2-95eb-10050a68a111' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-19153164-5647-4638-8e99-0e987c78ed10' class='xr-index-data-in' type='checkbox'/><label for='index-19153164-5647-4638-8e99-0e987c78ed10' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-20f58f41-4640-45e1-9712-a19c0b0bd525' class='xr-index-data-in' type='checkbox'/><label for='index-20f58f41-4640-45e1-9712-a19c0b0bd525' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-83c0cfd9-a03e-41be-a874-76d39c9d58a1' class='xr-index-data-in' type='checkbox'/><label for='index-83c0cfd9-a03e-41be-a874-76d39c9d58a1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -13736,7 +13757,7 @@ <h3>Dask<a class="headerlink" href="#dask" title="Permalink to this headline">#<
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-950527d9-75fc-42cb-97ed-e0fc82b1d0b4' class='xr-section-summary-in' type='checkbox'  ><label for='section-950527d9-75fc-42cb-97ed-e0fc82b1d0b4' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e4cc59ba-de0b-43bb-9755-d4c18a8bcb77' class='xr-section-summary-in' type='checkbox'  ><label for='section-e4cc59ba-de0b-43bb-9755-d4c18a8bcb77' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <p>All computations with dask-backed xarray objects are lazy, allowing you to build
 up a complicated chain of analysis steps quickly</p>
@@ -14115,7 +14136,7 @@ <h3>Dask<a class="headerlink" href="#dask" title="Permalink to this headline">#<
 dask.array&lt;mean_agg-aggregate, shape=(2920, 53), dtype=float32, chunksize=(10, 53), chunktype=numpy.ndarray&gt;
 Coordinates:
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ae8b656d-0e66-468f-bc27-430bf78238f0' class='xr-array-in' type='checkbox' checked><label for='section-ae8b656d-0e66-468f-bc27-430bf78238f0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(10, 53), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ee791bd2-ce8e-4588-834c-2632d0d598bb' class='xr-array-in' type='checkbox' checked><label for='section-ee791bd2-ce8e-4588-834c-2632d0d598bb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(10, 53), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>
     <tr>
         <td>
             <table style="border-collapse: collapse;">
@@ -14188,21 +14209,21 @@ <h3>Dask<a class="headerlink" href="#dask" title="Permalink to this headline">#<
 </svg>
         </td>
     </tr>
-</table></div></div></li><li class='xr-section-item'><input id='section-c388ed85-affb-47d8-bbb8-6cf7d562004f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c388ed85-affb-47d8-bbb8-6cf7d562004f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-b2d4ef6c-4114-44ca-9da5-a197461c9cd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2d4ef6c-4114-44ca-9da5-a197461c9cd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45cceab9-3f76-46aa-aad9-56a6bc5692c6' class='xr-var-data-in' type='checkbox'><label for='data-45cceab9-3f76-46aa-aad9-56a6bc5692c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+</table></div></div></li><li class='xr-section-item'><input id='section-a88d1166-7ade-4ca8-a868-3ace26d07f16' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a88d1166-7ade-4ca8-a868-3ace26d07f16' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-ab4e2f63-2e50-43b6-a1ab-c388eb05a5d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ab4e2f63-2e50-43b6-a1ab-c388eb05a5d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d927cdb8-904a-404b-9496-29b555ae5b0d' class='xr-var-data-in' type='checkbox'><label for='data-d927cdb8-904a-404b-9496-29b555ae5b0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-86c1071a-410f-4ca0-bf30-c0036d6ac2a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86c1071a-410f-4ca0-bf30-c0036d6ac2a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f17774dd-456c-4986-bcf5-4942f0a6e931' class='xr-var-data-in' type='checkbox'><label for='data-f17774dd-456c-4986-bcf5-4942f0a6e931' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-7f251b1d-b56c-46a4-b104-39945bacd02a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f251b1d-b56c-46a4-b104-39945bacd02a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91a7e472-37e0-4b90-a568-60d2e311ac25' class='xr-var-data-in' type='checkbox'><label for='data-91a7e472-37e0-4b90-a568-60d2e311ac25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d31943de-c372-4a5a-9b56-87ebe60ebf4a' class='xr-section-summary-in' type='checkbox'  ><label for='section-d31943de-c372-4a5a-9b56-87ebe60ebf4a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-eaa6d2b6-6e1c-41eb-8757-6b6321ea4b3d' class='xr-index-data-in' type='checkbox'/><label for='index-eaa6d2b6-6e1c-41eb-8757-6b6321ea4b3d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a01b810d-a314-42b0-9aa9-3fbec7f219f1' class='xr-section-summary-in' type='checkbox'  ><label for='section-a01b810d-a314-42b0-9aa9-3fbec7f219f1' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-59223725-8874-490c-8eac-60c905f0a5eb' class='xr-index-data-in' type='checkbox'/><label for='index-59223725-8874-490c-8eac-60c905f0a5eb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-96a92a61-eb61-415e-b9e5-a22652e56a34' class='xr-index-data-in' type='checkbox'/><label for='index-96a92a61-eb61-415e-b9e5-a22652e56a34' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a00237b1-7d01-4c42-a33f-24f29885a151' class='xr-index-data-in' type='checkbox'/><label for='index-a00237b1-7d01-4c42-a33f-24f29885a151' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -14213,7 +14234,7 @@ <h3>Dask<a class="headerlink" href="#dask" title="Permalink to this headline">#<
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-430f65ee-50b5-4f2e-b41d-920c185f267e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-430f65ee-50b5-4f2e-b41d-920c185f267e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f56f800b-fb76-4f1f-821e-32be48d34c56' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f56f800b-fb76-4f1f-821e-32be48d34c56' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <p>To get concrete values, call <code class="docutils literal notranslate"><span class="pre">.compute</span></code> or <code class="docutils literal notranslate"><span class="pre">.load</span></code></p>
 <div class="cell docutils container">
@@ -14603,7 +14624,7 @@ <h3>Dask<a class="headerlink" href="#dask" title="Permalink to this headline">#<
         280.48196]], dtype=float32)
 Coordinates:
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1554df9f-7796-4e52-8f99-c090d190b608' class='xr-array-in' type='checkbox' checked><label for='section-1554df9f-7796-4e52-8f99-c090d190b608' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>279.4 279.7 279.7 279.7 280.0 279.9 ... 278.3 278.9 279.4 280.0 280.5</span></div><div class='xr-array-data'><pre>array([[279.39798, 279.6664 , 279.66122, ..., 279.9508 , 280.31522,
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f1afb016-4fea-4caf-872f-17a41f520ea5' class='xr-array-in' type='checkbox' checked><label for='section-f1afb016-4fea-4caf-872f-17a41f520ea5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>279.4 279.7 279.7 279.7 280.0 279.9 ... 278.3 278.9 279.4 280.0 280.5</span></div><div class='xr-array-data'><pre>array([[279.39798, 279.6664 , 279.66122, ..., 279.9508 , 280.31522,
         280.6624 ],
        [279.05722, 279.538  , 279.7296 , ..., 279.77563, 280.27002,
         280.79764],
@@ -14615,21 +14636,21 @@ <h3>Dask<a class="headerlink" href="#dask" title="Permalink to this headline">#<
        [279.398  , 279.66602, 280.31796, ..., 279.766  , 280.34198,
         280.834  ],
        [279.27   , 279.354  , 279.88202, ..., 279.42596, 279.96997,
-        280.48196]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-1b497113-3494-41b2-b145-ef1f6d8f565c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b497113-3494-41b2-b145-ef1f6d8f565c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-02241fdd-4487-47d6-8ad1-4c2eed875ff7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02241fdd-4487-47d6-8ad1-4c2eed875ff7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95033155-43f1-47ac-83f6-a89f1b653e80' class='xr-var-data-in' type='checkbox'><label for='data-95033155-43f1-47ac-83f6-a89f1b653e80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+        280.48196]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-bbb5768d-eeb0-447c-8bb5-88e2df46eb83' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bbb5768d-eeb0-447c-8bb5-88e2df46eb83' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-b1cecb74-49d6-44a1-8bc7-d72263fd7c45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1cecb74-49d6-44a1-8bc7-d72263fd7c45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c2a9b2a8-2c56-404d-abe5-1ad0facc0ef7' class='xr-var-data-in' type='checkbox'><label for='data-c2a9b2a8-2c56-404d-abe5-1ad0facc0ef7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-ae767c71-897f-4002-bce4-05ae17fe090d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae767c71-897f-4002-bce4-05ae17fe090d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c75a25e0-9ec9-421e-b569-b29f67ae574a' class='xr-var-data-in' type='checkbox'><label for='data-c75a25e0-9ec9-421e-b569-b29f67ae574a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-212242aa-6783-44c7-ab62-f73f00cfa2a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-212242aa-6783-44c7-ab62-f73f00cfa2a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e523dae5-cf9f-43c1-94ab-afc4904e34ae' class='xr-var-data-in' type='checkbox'><label for='data-e523dae5-cf9f-43c1-94ab-afc4904e34ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b236c832-4316-40d5-9d35-5cd77b0a5e91' class='xr-section-summary-in' type='checkbox'  ><label for='section-b236c832-4316-40d5-9d35-5cd77b0a5e91' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-46466588-b366-4ec2-86c2-4fd99a60db4c' class='xr-index-data-in' type='checkbox'/><label for='index-46466588-b366-4ec2-86c2-4fd99a60db4c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dc9671a6-37ff-422e-a68f-c43609fcb1a5' class='xr-section-summary-in' type='checkbox'  ><label for='section-dc9671a6-37ff-422e-a68f-c43609fcb1a5' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9a84abd7-a578-4f9a-a926-af6ac11cd4ea' class='xr-index-data-in' type='checkbox'/><label for='index-9a84abd7-a578-4f9a-a926-af6ac11cd4ea' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0e2e696e-3815-463b-923e-5c4fe7a7ba3c' class='xr-index-data-in' type='checkbox'/><label for='index-0e2e696e-3815-463b-923e-5c4fe7a7ba3c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-01e7cb4f-2bad-4dca-bc34-1934f315e313' class='xr-index-data-in' type='checkbox'/><label for='index-01e7cb4f-2bad-4dca-bc34-1934f315e313' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -14640,11 +14661,11 @@ <h3>Dask<a class="headerlink" href="#dask" title="Permalink to this headline">#<
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-269b3708-4310-4254-9675-850a7fbf0740' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-269b3708-4310-4254-9675-850a7fbf0740' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-092e8d27-fbac-422c-a007-ef33d8bf1b4f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-092e8d27-fbac-422c-a007-ef33d8bf1b4f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="holoviz">
-<h3>HoloViz<a class="headerlink" href="#holoviz" title="Permalink to this headline">#</a></h3>
+<h3>HoloViz<a class="headerlink" href="#holoviz" title="Permalink to this heading">#</a></h3>
 <p>Quickly generate interactive plots from your data!</p>
 <p>The <a class="reference external" href="https://hvplot.holoviz.org/user_guide/Gridded_Data.html"><code class="docutils literal notranslate"><span class="pre">hvplot</span></code> package</a> attaches itself to all
 xarray objects under the <code class="docutils literal notranslate"><span class="pre">.hvplot</span></code> namespace. So instead of using <code class="docutils literal notranslate"><span class="pre">.plot</span></code> use <code class="docutils literal notranslate"><span class="pre">.hvplot</span></code></p>
@@ -14663,11 +14684,9 @@ <h3>HoloViz<a class="headerlink" href="#holoviz" title="Permalink to this headli
   }
 
   var force = true;
-  var py_version = '3.1.1'.replace('rc', '-rc.').replace('.dev', '-dev.');
-  var is_dev = py_version.indexOf("+") !== -1 || py_version.indexOf("-") !== -1;
+  var py_version = '3.3.4'.replace('rc', '-rc.').replace('.dev', '-dev.');
   var reloading = false;
   var Bokeh = root.Bokeh;
-  var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));
 
   if (typeof (root._bokeh_timeout) === "undefined" || force) {
     root._bokeh_timeout = Date.now() + 5000;
@@ -14779,17 +14798,17 @@ <h3>HoloViz<a class="headerlink" href="#holoviz" title="Permalink to this headli
       console.debug("Bokeh: injecting link tag for BokehJS stylesheet: ", url);
       document.body.appendChild(element);
     }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {
-      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];
+      var urls = ['https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.8/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];
       for (var i = 0; i < urls.length; i++) {
         skip.push(urls[i])
       }
     }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {
-      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];
+      var urls = ['https://cdn.holoviz.org/panel/1.3.8/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];
       for (var i = 0; i < urls.length; i++) {
         skip.push(urls[i])
       }
     }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {
-      var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];
+      var urls = ['https://cdn.holoviz.org/panel/1.3.8/dist/bundled/notificationarea/notyf@3/notyf.min.js'];
       for (var i = 0; i < urls.length; i++) {
         skip.push(urls[i])
       }
@@ -14865,7 +14884,7 @@ <h3>HoloViz<a class="headerlink" href="#holoviz" title="Permalink to this headli
     document.body.appendChild(element);
   }
 
-  var js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js", "https://cdn.holoviz.org/panel/1.1.1/dist/panel.min.js"];
+  var js_urls = ["https://cdn.bokeh.org/bokeh/release/bokeh-3.3.4.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.4.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.4.min.js", "https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.4.min.js", "https://cdn.holoviz.org/panel/1.3.8/dist/panel.min.js"];
   var js_modules = [];
   var js_exports = {};
   var css_urls = [];
@@ -14878,7 +14897,13 @@ <h3>HoloViz<a class="headerlink" href="#holoviz" title="Permalink to this headli
   function run_inline_js() {
     if ((root.Bokeh !== undefined) || (force === true)) {
       for (var i = 0; i < inline_js.length; i++) {
-        inline_js[i].call(root, root.Bokeh);
+	try {
+          inline_js[i].call(root, root.Bokeh);
+	} catch(e) {
+	  if (!reloading) {
+	    throw e;
+	  }
+	}
       }
       // Cache old bokeh versions
       if (Bokeh != undefined && !reloading) {
@@ -14915,11 +14940,10 @@ <h3>HoloViz<a class="headerlink" href="#holoviz" title="Permalink to this headli
     } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === "undefined" && root._bokeh_onload_callbacks !== undefined)) {
       setTimeout(load_or_wait, 100);
     } else {
-      Bokeh = root.Bokeh;
-      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));
       root._bokeh_is_initializing = true
       root._bokeh_onload_callbacks = []
-      if (!reloading && (!bokeh_loaded || is_dev)) {
+      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));
+      if (!reloading && !bokeh_loaded) {
 	root.Bokeh = undefined;
       }
       load_libs(css_urls, js_urls, js_modules, js_exports, function() {
@@ -15179,24 +15203,87 @@ <h3>HoloViz<a class="headerlink" href="#holoviz" title="Permalink to this headli
 }
 
 /* Override VSCode background color */
-.cell-output-ipywidget-background:has(> .cell-output-ipywidget-background
-    > .lm-Widget
-    > *[data-root-id]),
+.cell-output-ipywidget-background:has(
+    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]
+  ),
 .cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {
   background-color: transparent !important;
 }
 </style></div><div class="output text_html"><div id='p1002'>
-  <div id="e54469b9-0296-45c3-8981-3c809d78dadb" data-root-id="p1002" style="display: contents;"></div>
+  <div id="ed9311c1-bb3f-4831-9e8f-b1194dcc3097" data-root-id="p1002" style="display: contents;"></div>
+</div>
+<script type="application/javascript">(function(root) {
+  var docs_json = {"5335bac0-1000-4dff-aa6a-957736d3486d":{"version":"3.3.4","title":"Bokeh Application","roots":[{"type":"object","name":"panel.models.browser.BrowserInfo","id":"p1002"},{"type":"object","name":"panel.models.comm_manager.CommManager","id":"p1003","attributes":{"plot_id":"p1002","comm_id":"bac8e99eb4af436aa722d36e899ce5a7","client_comm_id":"d894a18d1dc24d648bfde2c29528b626"}}],"defs":[{"type":"model","name":"ReactiveHTML1"},{"type":"model","name":"FlexBox1","properties":[{"name":"align_content","kind":"Any","default":"flex-start"},{"name":"align_items","kind":"Any","default":"flex-start"},{"name":"flex_direction","kind":"Any","default":"row"},{"name":"flex_wrap","kind":"Any","default":"wrap"},{"name":"justify_content","kind":"Any","default":"flex-start"}]},{"type":"model","name":"FloatPanel1","properties":[{"name":"config","kind":"Any","default":{"type":"map"}},{"name":"contained","kind":"Any","default":true},{"name":"position","kind":"Any","default":"right-top"},{"name":"offsetx","kind":"Any","default":null},{"name":"offsety","kind":"Any","default":null},{"name":"theme","kind":"Any","default":"primary"},{"name":"status","kind":"Any","default":"normalized"}]},{"type":"model","name":"GridStack1","properties":[{"name":"mode","kind":"Any","default":"warn"},{"name":"ncols","kind":"Any","default":null},{"name":"nrows","kind":"Any","default":null},{"name":"allow_resize","kind":"Any","default":true},{"name":"allow_drag","kind":"Any","default":true},{"name":"state","kind":"Any","default":[]}]},{"type":"model","name":"drag1","properties":[{"name":"slider_width","kind":"Any","default":5},{"name":"slider_color","kind":"Any","default":"black"},{"name":"value","kind":"Any","default":50}]},{"type":"model","name":"click1","properties":[{"name":"terminal_output","kind":"Any","default":""},{"name":"debug_name","kind":"Any","default":""},{"name":"clears","kind":"Any","default":0}]},{"type":"model","name":"copy_to_clipboard1","properties":[{"name":"fill","kind":"Any","default":"none"},{"name":"value","kind":"Any","default":null}]},{"type":"model","name":"FastWrapper1","properties":[{"name":"object","kind":"Any","default":null},{"name":"style","kind":"Any","default":null}]},{"type":"model","name":"NotificationAreaBase1","properties":[{"name":"js_events","kind":"Any","default":{"type":"map"}},{"name":"position","kind":"Any","default":"bottom-right"},{"name":"_clear","kind":"Any","default":0}]},{"type":"model","name":"NotificationArea1","properties":[{"name":"js_events","kind":"Any","default":{"type":"map"}},{"name":"notifications","kind":"Any","default":[]},{"name":"position","kind":"Any","default":"bottom-right"},{"name":"_clear","kind":"Any","default":0},{"name":"types","kind":"Any","default":[{"type":"map","entries":[["type","warning"],["background","#ffc107"],["icon",{"type":"map","entries":[["className","fas fa-exclamation-triangle"],["tagName","i"],["color","white"]]}]]},{"type":"map","entries":[["type","info"],["background","#007bff"],["icon",{"type":"map","entries":[["className","fas fa-info-circle"],["tagName","i"],["color","white"]]}]]}]}]},{"type":"model","name":"Notification","properties":[{"name":"background","kind":"Any","default":null},{"name":"duration","kind":"Any","default":3000},{"name":"icon","kind":"Any","default":null},{"name":"message","kind":"Any","default":""},{"name":"notification_type","kind":"Any","default":null},{"name":"_destroyed","kind":"Any","default":false}]},{"type":"model","name":"TemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"BootstrapTemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"MaterialTemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]}]}};
+  var render_items = [{"docid":"5335bac0-1000-4dff-aa6a-957736d3486d","roots":{"p1002":"ed9311c1-bb3f-4831-9e8f-b1194dcc3097"},"root_ids":["p1002"]}];
+  var docs = Object.values(docs_json)
+  if (!docs) {
+    return
+  }
+  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
+  function embed_document(root) {
+    var Bokeh = get_bokeh(root)
+    Bokeh.embed.embed_items_notebook(docs_json, render_items);
+    for (const render_item of render_items) {
+      for (const root_id of render_item.root_ids) {
+	const id_el = document.getElementById(root_id)
+	if (id_el.children.length && (id_el.children[0].className === 'bk-root')) {
+	  const root_el = id_el.children[0]
+	  root_el.id = root_el.id + '-rendered'
+	}
+      }
+    }
+  }
+  function get_bokeh(root) {
+    if (root.Bokeh === undefined) {
+      return null
+    } else if (root.Bokeh.version !== py_version) {
+      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
+	return null
+      }
+      return root.Bokeh.versions.get(py_version);
+    } else if (root.Bokeh.version === py_version) {
+      return root.Bokeh
+    }
+    return null
+  }
+  function is_loaded(root) {
+    var Bokeh = get_bokeh(root)
+    return (Bokeh != null && Bokeh.Panel !== undefined)
+  }
+  if (is_loaded(root)) {
+    embed_document(root);
+  } else {
+    var attempts = 0;
+    var timer = setInterval(function(root) {
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+        embed_document(root);
+      } else if (document.readyState == "complete") {
+        attempts++;
+        if (attempts > 200) {
+          clearInterval(timer);
+	  var Bokeh = get_bokeh(root)
+	  if (Bokeh == null || Bokeh.Panel == null) {
+            console.warn("Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing");
+	  } else {
+	    console.warn("Panel: WARNING: Attempting to render but not all required libraries could be resolved.")
+	    embed_document(root)
+	  }
+        }
+      }
+    }, 25, root)
+  }
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fa-exclamation-triangle"],["tagName","i"],["color","white"]]}]]},{"type":"map","entries":[["type","info"],["background","#007bff"],["icon",{"type":"map","entries":[["className","fas fa-info-circle"],["tagName","i"],["color","white"]]}]]}]}]},{"type":"model","name":"Notification","properties":[{"name":"background","kind":"Any","default":null},{"name":"duration","kind":"Any","default":3000},{"name":"icon","kind":"Any","default":null},{"name":"message","kind":"Any","default":""},{"name":"notification_type","kind":"Any","default":null},{"name":"_destroyed","kind":"Any","default":false}]},{"type":"model","name":"TemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"BootstrapTemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]},{"type":"model","name":"MaterialTemplateActions1","properties":[{"name":"open_modal","kind":"Any","default":0},{"name":"close_modal","kind":"Any","default":0}]}]}};
+  var render_items = [{"docid":"c1982755-2c88-4762-a344-b01ea2866d58","roots":{"p1004":"b2d180b9-dff8-438e-bd6c-1e96c7d38b4c"},"root_ids":["p1004"]}];
   var docs = Object.values(docs_json)
   if (!docs) {
     return
   }
   const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')
-  const is_dev = py_version.indexOf("+") !== -1 || py_version.indexOf("-") !== -1
   function embed_document(root) {
     var Bokeh = get_bokeh(root)
     Bokeh.embed.embed_items_notebook(docs_json, render_items);
@@ -15213,7 +15300,7 @@ <h3>HoloViz<a class="headerlink" href="#holoviz" title="Permalink to this headli
   function get_bokeh(root) {
     if (root.Bokeh === undefined) {
       return null
-    } else if (root.Bokeh.version !== py_version && !is_dev) {
+    } else if (root.Bokeh.version !== py_version) {
       if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {
 	return null
       }
@@ -15258,7 +15345,7 @@ <h3>HoloViz<a class="headerlink" href="#holoviz" title="Permalink to this headli
 </div>
 </section>
 <section id="cf-xarray">
-<h3>cf_xarray<a class="headerlink" href="#cf-xarray" title="Permalink to this headline">#</a></h3>
+<h3>cf_xarray<a class="headerlink" href="#cf-xarray" title="Permalink to this heading">#</a></h3>
 <p><a class="reference external" href="https://cf-xarray.readthedocs.io/">cf_xarray</a> is a project that tries to
 let you make use of other CF attributes that xarray ignores. It attaches itself
 to all xarray objects under the <code class="docutils literal notranslate"><span class="pre">.cf</span></code> namespace.</p>
@@ -15695,7 +15782,7 @@ <h3>cf_xarray<a class="headerlink" href="#cf-xarray" title="Permalink to this he
         280.48196]], dtype=float32)
 Coordinates:
   * lon      (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
-  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-96b480c0-6f81-4aa3-ba1d-80c7dd85999f' class='xr-array-in' type='checkbox' checked><label for='section-96b480c0-6f81-4aa3-ba1d-80c7dd85999f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>279.4 279.7 279.7 279.7 280.0 279.9 ... 278.3 278.9 279.4 280.0 280.5</span></div><div class='xr-array-data'><pre>array([[279.39798, 279.6664 , 279.66122, ..., 279.9508 , 280.31522,
+  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lon</span>: 53</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6ba1ccb4-040f-4a51-9d7a-e86245d839a5' class='xr-array-in' type='checkbox' checked><label for='section-6ba1ccb4-040f-4a51-9d7a-e86245d839a5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>279.4 279.7 279.7 279.7 280.0 279.9 ... 278.3 278.9 279.4 280.0 280.5</span></div><div class='xr-array-data'><pre>array([[279.39798, 279.6664 , 279.66122, ..., 279.9508 , 280.31522,
         280.6624 ],
        [279.05722, 279.538  , 279.7296 , ..., 279.77563, 280.27002,
         280.79764],
@@ -15707,21 +15794,21 @@ <h3>cf_xarray<a class="headerlink" href="#cf-xarray" title="Permalink to this he
        [279.398  , 279.66602, 280.31796, ..., 279.766  , 280.34198,
         280.834  ],
        [279.27   , 279.354  , 279.88202, ..., 279.42596, 279.96997,
-        280.48196]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-408277b9-a852-4c3a-bdd8-cfbb7b5c523f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-408277b9-a852-4c3a-bdd8-cfbb7b5c523f' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-bd103a2a-57c3-4d83-a160-b627ead917fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd103a2a-57c3-4d83-a160-b627ead917fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96d23741-4354-407a-87fc-0cada828bb18' class='xr-var-data-in' type='checkbox'><label for='data-96d23741-4354-407a-87fc-0cada828bb18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
+        280.48196]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9f2e464b-d71b-4910-8591-cde6e31391d3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9f2e464b-d71b-4910-8591-cde6e31391d3' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0 202.5 205.0 ... 327.5 330.0</div><input id='attrs-870e64c6-6657-4fe5-940a-1ae24cf43ede' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-870e64c6-6657-4fe5-940a-1ae24cf43ede' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebd55c02-bd61-4d5c-ac89-e63c46edaa8d' class='xr-var-data-in' type='checkbox'><label for='data-ebd55c02-bd61-4d5c-ac89-e63c46edaa8d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,
        225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,
        250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,
        275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,
        300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,
-       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-8942acf3-5038-4cb0-bfa5-088d470b1bf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8942acf3-5038-4cb0-bfa5-088d470b1bf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a2d8a8d-716e-43c4-8a3b-9123274c1f85' class='xr-var-data-in' type='checkbox'><label for='data-7a2d8a8d-716e-43c4-8a3b-9123274c1f85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       325. , 327.5, 330. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-0b197262-b7b0-47ff-a015-5f8176409067' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b197262-b7b0-47ff-a015-5f8176409067' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33d12a11-e233-4241-a1b8-bc1d26f6e70c' class='xr-var-data-in' type='checkbox'><label for='data-33d12a11-e233-4241-a1b8-bc1d26f6e70c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ffad3fa3-3f9a-48ae-b721-627bf218dfdc' class='xr-section-summary-in' type='checkbox'  ><label for='section-ffad3fa3-3f9a-48ae-b721-627bf218dfdc' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cb7a7da6-9ac4-4a52-b640-2f5e9866854c' class='xr-index-data-in' type='checkbox'/><label for='index-cb7a7da6-9ac4-4a52-b640-2f5e9866854c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ac2a17bd-4427-4272-b311-5f3627f35831' class='xr-section-summary-in' type='checkbox'  ><label for='section-ac2a17bd-4427-4272-b311-5f3627f35831' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c39edc22-0bee-4aad-aa1a-daec095ce46e' class='xr-index-data-in' type='checkbox'/><label for='index-c39edc22-0bee-4aad-aa1a-daec095ce46e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([200.0, 202.5, 205.0, 207.5, 210.0, 212.5, 215.0, 217.5, 220.0, 222.5,
        225.0, 227.5, 230.0, 232.5, 235.0, 237.5, 240.0, 242.5, 245.0, 247.5,
        250.0, 252.5, 255.0, 257.5, 260.0, 262.5, 265.0, 267.5, 270.0, 272.5,
        275.0, 277.5, 280.0, 282.5, 285.0, 287.5, 290.0, 292.5, 295.0, 297.5,
        300.0, 302.5, 305.0, 307.5, 310.0, 312.5, 315.0, 317.5, 320.0, 322.5,
        325.0, 327.5, 330.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-75f69870-fee1-4840-b180-8e3137d980c6' class='xr-index-data-in' type='checkbox'/><label for='index-75f69870-fee1-4840-b180-8e3137d980c6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-66f72931-5e1b-40e5-87c5-63672ffbba79' class='xr-index-data-in' type='checkbox'/><label for='index-66f72931-5e1b-40e5-87c5-63672ffbba79' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -15732,7 +15819,7 @@ <h3>cf_xarray<a class="headerlink" href="#cf-xarray" title="Permalink to this he
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c46878b4-9c2a-43ff-8a66-29909a194d04' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c46878b4-9c2a-43ff-8a66-29909a194d04' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c444b291-b46d-4aac-94b5-7a95551da70e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c444b291-b46d-4aac-94b5-7a95551da70e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -16135,7 +16222,7 @@ <h3>cf_xarray<a class="headerlink" href="#cf-xarray" title="Permalink to this he
     statistic:       Individual Obs
     parent_stat:     Other
     actual_range:    [185.16 322.1 ]
-    who_is_awesome:  xarray</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ca0bfea1-af09-4313-9ad3-326a707bd70d' class='xr-array-in' type='checkbox' checked><label for='section-ca0bfea1-af09-4313-9ad3-326a707bd70d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.0 238.0 239.7 246.3 253.7 265.3 ... 291.4 293.6 295.2 296.8 298.9</span></div><div class='xr-array-data'><pre>array([[241.     , 238.     , 239.7    , ..., 292.     , 293.9    ,
+    who_is_awesome:  xarray</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'air'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 2920</li><li><span class='xr-has-index'>lat</span>: 25</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a4eedbcb-e509-459c-ae4a-791690039aa9' class='xr-array-in' type='checkbox' checked><label for='section-a4eedbcb-e509-459c-ae4a-791690039aa9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>241.0 238.0 239.7 246.3 253.7 265.3 ... 291.4 293.6 295.2 296.8 298.9</span></div><div class='xr-array-data'><pre>array([[241.     , 238.     , 239.7    , ..., 292.     , 293.9    ,
         296.79   ],
        [240.     , 238.39   , 241.09999, ..., 292.6    , 294.1    ,
         296.69998],
@@ -16147,15 +16234,15 @@ <h3>cf_xarray<a class="headerlink" href="#cf-xarray" title="Permalink to this he
        [239.89   , 241.68999, 242.29   , ..., 295.09   , 296.88998,
         298.59   ],
        [239.59   , 241.48999, 240.79   , ..., 295.19   , 296.79   ,
-        298.88998]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-6e15b788-ee19-46ba-9b86-a36b6a0b62fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6e15b788-ee19-46ba-9b86-a36b6a0b62fa' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-a4302e05-10ef-42dc-9b28-3e8027089cee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4302e05-10ef-42dc-9b28-3e8027089cee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21d4ba1f-a813-4cd7-bf82-4f37e19c95e4' class='xr-var-data-in' type='checkbox'><label for='data-21d4ba1f-a813-4cd7-bf82-4f37e19c95e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
+        298.88998]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-20cc4a63-3e16-45ad-bc45-fab9eee49f3e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20cc4a63-3e16-45ad-bc45-fab9eee49f3e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>75.0 72.5 70.0 ... 20.0 17.5 15.0</div><input id='attrs-38eac75a-5e75-4f76-b4e0-228b191e8479' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38eac75a-5e75-4f76-b4e0-228b191e8479' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bd41fbe-a4d3-47f5-9acd-969a5d512397' class='xr-var-data-in' type='checkbox'><label for='data-0bd41fbe-a4d3-47f5-9acd-969a5d512397' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([75. , 72.5, 70. , 67.5, 65. , 62.5, 60. , 57.5, 55. , 52.5, 50. , 47.5,
        45. , 42.5, 40. , 37.5, 35. , 32.5, 30. , 27.5, 25. , 22.5, 20. , 17.5,
-       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>242.5</div><input id='attrs-9ab6d483-1e78-41a1-8e23-868bc757b65d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ab6d483-1e78-41a1-8e23-868bc757b65d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9c54c24-c9e6-4653-aed6-87faeb402591' class='xr-var-data-in' type='checkbox'><label for='data-c9c54c24-c9e6-4653-aed6-87faeb402591' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(242.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-4d3ca1e3-17b3-4827-b333-21cd4fa1a777' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d3ca1e3-17b3-4827-b333-21cd4fa1a777' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b72c6163-ed2e-4af0-9701-244b3c339815' class='xr-var-data-in' type='checkbox'><label for='data-b72c6163-ed2e-4af0-9701-244b3c339815' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
+       15. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>242.5</div><input id='attrs-975dbf6c-731f-4aad-b8ce-e155fdc2997d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-975dbf6c-731f-4aad-b8ce-e155fdc2997d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a23211ef-ae86-4b94-bfbc-c2809fdc7350' class='xr-var-data-in' type='checkbox'><label for='data-a23211ef-ae86-4b94-bfbc-c2809fdc7350' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(242.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2013-01-01 ... 2014-12-31T18:00:00</div><input id='attrs-e4ed28ec-dfa1-4ee1-ad25-1216cc057ed1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4ed28ec-dfa1-4ee1-ad25-1216cc057ed1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64d4ca4a-8749-44a8-abb4-d585a3d62446' class='xr-var-data-in' type='checkbox'><label for='data-64d4ca4a-8749-44a8-abb4-d585a3d62446' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2013-01-01T00:00:00.000000000&#x27;, &#x27;2013-01-01T06:00:00.000000000&#x27;,
        &#x27;2013-01-01T12:00:00.000000000&#x27;, ..., &#x27;2014-12-31T06:00:00.000000000&#x27;,
        &#x27;2014-12-31T12:00:00.000000000&#x27;, &#x27;2014-12-31T18:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f537286c-5f4b-4a06-8e69-be7ce9c60f1d' class='xr-section-summary-in' type='checkbox'  ><label for='section-f537286c-5f4b-4a06-8e69-be7ce9c60f1d' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-158e4eef-9277-493d-8d0d-2657c7a4b04a' class='xr-index-data-in' type='checkbox'/><label for='index-158e4eef-9277-493d-8d0d-2657c7a4b04a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe981e23-1f2e-4bc5-b505-2f97a5a92945' class='xr-section-summary-in' type='checkbox'  ><label for='section-fe981e23-1f2e-4bc5-b505-2f97a5a92945' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-84569fc8-db9f-4972-8a16-f29ac092c2a8' class='xr-index-data-in' type='checkbox'/><label for='index-84569fc8-db9f-4972-8a16-f29ac092c2a8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([75.0, 72.5, 70.0, 67.5, 65.0, 62.5, 60.0, 57.5, 55.0, 52.5, 50.0, 47.5,
        45.0, 42.5, 40.0, 37.5, 35.0, 32.5, 30.0, 27.5, 25.0, 22.5, 20.0, 17.5,
        15.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f3491d57-5b60-4cb1-927e-0dad615d17d0' class='xr-index-data-in' type='checkbox'/><label for='index-f3491d57-5b60-4cb1-927e-0dad615d17d0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-13286c4c-cb09-4114-b49a-7dd846b64441' class='xr-index-data-in' type='checkbox'/><label for='index-13286c4c-cb09-4114-b49a-7dd846b64441' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2013-01-01 00:00:00&#x27;, &#x27;2013-01-01 06:00:00&#x27;,
                &#x27;2013-01-01 12:00:00&#x27;, &#x27;2013-01-01 18:00:00&#x27;,
                &#x27;2013-01-02 00:00:00&#x27;, &#x27;2013-01-02 06:00:00&#x27;,
                &#x27;2013-01-02 12:00:00&#x27;, &#x27;2013-01-02 18:00:00&#x27;,
@@ -16166,11 +16253,11 @@ <h3>cf_xarray<a class="headerlink" href="#cf-xarray" title="Permalink to this he
                &#x27;2014-12-30 12:00:00&#x27;, &#x27;2014-12-30 18:00:00&#x27;,
                &#x27;2014-12-31 00:00:00&#x27;, &#x27;2014-12-31 06:00:00&#x27;,
                &#x27;2014-12-31 12:00:00&#x27;, &#x27;2014-12-31 18:00:00&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=2920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6094cb7b-8462-4edb-bd46-4237356060df' class='xr-section-summary-in' type='checkbox'  ><label for='section-6094cb7b-8462-4edb-bd46-4237356060df' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>4xDaily Air temperature at sigma level 995</dd><dt><span>units :</span></dt><dd>degK</dd><dt><span>precision :</span></dt><dd>2</dd><dt><span>GRIB_id :</span></dt><dd>11</dd><dt><span>GRIB_name :</span></dt><dd>TMP</dd><dt><span>var_desc :</span></dt><dd>Air temperature</dd><dt><span>dataset :</span></dt><dd>NMC Reanalysis</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Individual Obs</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>actual_range :</span></dt><dd>[185.16 322.1 ]</dd><dt><span>who_is_awesome :</span></dt><dd>xarray</dd></dl></div></li></ul></div></div></div></div>
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 </section>
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 <li><p><a class="reference external" href="https://xgcm.readthedocs.io/">xgcm</a> : grid-aware operations with xarray
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+<h2>Next<a class="headerlink" href="#next" title="Permalink to this heading">#</a></h2>
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@@ -470,10 +487,10 @@ <h1>Glossary</h1>
               
                 
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-                <article class="bd-article" role="main">
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   <section class="tex2jax_ignore mathjax_ignore" id="glossary">
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 <p>For Xarray data structure terminology see <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/terminology.html">https://docs.xarray.dev/en/stable/user-guide/terminology.html</a></p>
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@@ -484,10 +501,10 @@ <h2> Contents </h2>
               
                 
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-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="keep-exploring">
-<h1>Keep Exploring!<a class="headerlink" href="#keep-exploring" title="Permalink to this headline">#</a></h1>
+<h1>Keep Exploring!<a class="headerlink" href="#keep-exploring" title="Permalink to this heading">#</a></h1>
 <p>To help you go deeper, we’ve also create a list of notebooks that
 demonstrate real-world applications of Xarray in a variety of use cases. These
 need not be explored in any particular sequence, instead they are meant to
@@ -502,7 +519,7 @@ <h1>Keep Exploring!<a class="headerlink" href="#keep-exploring" title="Permalink
 </ol>
 </div>
 <section id="weather-and-climate">
-<h2>Weather and Climate<a class="headerlink" href="#weather-and-climate" title="Permalink to this headline">#</a></h2>
+<h2>Weather and Climate<a class="headerlink" href="#weather-and-climate" title="Permalink to this heading">#</a></h2>
 <ol class="arabic">
 <li><p><a class="reference external" href="https://gallery.pangeo.io/repos/pangeo-gallery/cmip6/">Global Mean Surface Temperature from CMIP6</a>:
 Start with <code class="docutils literal notranslate"><span class="pre">global_mean_surface_temp.ipynb</span></code> then feel free to explore the
@@ -518,7 +535,7 @@ <h2>Weather and Climate<a class="headerlink" href="#weather-and-climate" title="
 </ol>
 </section>
 <section id="bayesian-statistical-modeling">
-<h2>Bayesian Statistical Modeling<a class="headerlink" href="#bayesian-statistical-modeling" title="Permalink to this headline">#</a></h2>
+<h2>Bayesian Statistical Modeling<a class="headerlink" href="#bayesian-statistical-modeling" title="Permalink to this heading">#</a></h2>
 <ol class="arabic simple">
 <li><p><a class="reference external" href="https://mybinder.org/v2/gh/pymc-devs/pymc3/main?filepath=%2Fdocs%2Fsource%2Fnotebooks">Xarray and PyMC3</a>:
 Start with <code class="docutils literal notranslate"><span class="pre">multilevel_modeling.ipynb</span></code> then feel free to explore the rest of
@@ -527,13 +544,13 @@ <h2>Bayesian Statistical Modeling<a class="headerlink" href="#bayesian-statistic
 </ol>
 </section>
 <section id="genomics">
-<h2>Genomics<a class="headerlink" href="#genomics" title="Permalink to this headline">#</a></h2>
+<h2>Genomics<a class="headerlink" href="#genomics" title="Permalink to this heading">#</a></h2>
 <ol class="arabic simple">
 <li><p><a class="reference external" href="https://anopheles-genomic-surveillance.github.io/workshop-5/module-1-xarray.html">From “data analysis for genomic surveillance of African malaria vectors” </a></p></li>
 </ol>
 </section>
 <section id="electrophysiology">
-<h2>Electrophysiology<a class="headerlink" href="#electrophysiology" title="Permalink to this headline">#</a></h2>
+<h2>Electrophysiology<a class="headerlink" href="#electrophysiology" title="Permalink to this heading">#</a></h2>
 <ol class="arabic simple">
 <li><p><a class="reference external" href="https://chrisholdgraf.com/blog/2019/2019-10-22-xarray-neuro/">“Analyzing intracranial electrophysiology data with xarray”</a></p></li>
 </ol>
@@ -565,11 +582,10 @@ <h2>Electrophysiology<a class="headerlink" href="#electrophysiology" title="Perm
 
               
               
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@@ -471,10 +488,10 @@ <h1>Oceanhackweek 2020</h1>
               
                 
 <div id="searchbox"></div>
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+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="oceanhackweek-2020">
-<h1>Oceanhackweek 2020<a class="headerlink" href="#oceanhackweek-2020" title="Permalink to this headline">#</a></h1>
+<h1>Oceanhackweek 2020<a class="headerlink" href="#oceanhackweek-2020" title="Permalink to this heading">#</a></h1>
 <p>Presented August 2020 at <a class="reference external" href="https://oceanhackweek.github.io">OceanHackWeek</a> by Deepak Cheerian</p>
 <p>This 45-minute tutorial covers the basics of Xarray data structures.</p>
 <p>Video Recording:
@@ -515,11 +532,10 @@ <h1>Oceanhackweek 2020<a class="headerlink" href="#oceanhackweek-2020" title="Pe
 
               
               
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@@ -522,12 +539,12 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
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   <section class="tex2jax_ignore mathjax_ignore" id="xarray-fundamentals">
-<h1>Xarray Fundamentals<a class="headerlink" href="#xarray-fundamentals" title="Permalink to this headline">#</a></h1>
+<h1>Xarray Fundamentals<a class="headerlink" href="#xarray-fundamentals" title="Permalink to this heading">#</a></h1>
 <section id="learning-objectives">
-<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this headline">#</a></h2>
+<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>Provide an overview of xarray</p></li>
 <li><p>Describe the core xarray data structures, the DataArray and the Dataset, and
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 </ul>
 </section>
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-<h2>What Is Xarray?<a class="headerlink" href="#what-is-xarray" title="Permalink to this headline">#</a></h2>
+<h2>What Is Xarray?<a class="headerlink" href="#what-is-xarray" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>Unlabeled, N-dimensional arrays of numbers (e.g., NumPy’s ndarray) are the
 most widely used data structure in scientific computing. However, they lack a
@@ -555,7 +572,7 @@ <h2>What Is Xarray?<a class="headerlink" href="#what-is-xarray" title="Permalink
 </ul>
 </section>
 <section id="core-data-structures">
-<h2>Core Data Structures<a class="headerlink" href="#core-data-structures" title="Permalink to this headline">#</a></h2>
+<h2>Core Data Structures<a class="headerlink" href="#core-data-structures" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>xarray has 2 fundamental data structures:</p>
 <ul>
@@ -568,7 +585,7 @@ <h2>Core Data Structures<a class="headerlink" href="#core-data-structures" title
 </ul>
 <p><img alt="" src="../../_images/xarray-data-structures.png" /></p>
 <section id="loading-data-from-netcdf">
-<h3>Loading data from netCDF<a class="headerlink" href="#loading-data-from-netcdf" title="Permalink to this headline">#</a></h3>
+<h3>Loading data from netCDF<a class="headerlink" href="#loading-data-from-netcdf" title="Permalink to this heading">#</a></h3>
 <ul class="simple">
 <li><p>NetCDF (network Common Data Form) is a file format for storing
 multidimensional array data</p></li>
@@ -984,14 +1001,14 @@ <h3>Loading data from netCDF<a class="headerlink" href="#loading-data-from-netcd
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-8bf6390f-401c-48cd-8754-a5f2f42411a5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8bf6390f-401c-48cd-8754-a5f2f42411a5' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-27ed1370-77e8-43a0-89e4-e77e02418b34' class='xr-section-summary-in' type='checkbox'  checked><label for='section-27ed1370-77e8-43a0-89e4-e77e02418b34' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-ddbccdfa-871f-43c3-afd4-ad2dc31e0526' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ddbccdfa-871f-43c3-afd4-ad2dc31e0526' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34b401cb-4554-4427-bd0a-735edb72d352' class='xr-var-data-in' type='checkbox'><label for='data-34b401cb-4554-4427-bd0a-735edb72d352' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-149175e9-9909-48b6-9af5-b676496701ab' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-149175e9-9909-48b6-9af5-b676496701ab' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-bc1eeab1-aabd-4122-b5a7-00fdbe22a862' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bc1eeab1-aabd-4122-b5a7-00fdbe22a862' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-d4a85567-3f01-4a2b-a79e-e946453d964b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4a85567-3f01-4a2b-a79e-e946453d964b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdbf0c27-b53a-4751-afc3-d54293a4b538' class='xr-var-data-in' type='checkbox'><label for='data-cdbf0c27-b53a-4751-afc3-d54293a4b538' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-4f03d21b-651a-4a33-a210-8a1efc4e9d1d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f03d21b-651a-4a33-a210-8a1efc4e9d1d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-650fe763-fded-4e9b-9cdc-124980588524' class='xr-var-data-in' type='checkbox'><label for='data-650fe763-fded-4e9b-9cdc-124980588524' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-3ded61b6-d7b6-4efe-ac61-4a5b785e8271' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ded61b6-d7b6-4efe-ac61-4a5b785e8271' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f56de98-6eff-4f4f-81ae-605490cb46b0' class='xr-var-data-in' type='checkbox'><label for='data-9f56de98-6eff-4f4f-81ae-605490cb46b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -1006,7 +1023,7 @@ <h3>Loading data from netCDF<a class="headerlink" href="#loading-data-from-netcd
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-4e27132e-eaf8-4ebb-8e3c-a4c3d457158b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e27132e-eaf8-4ebb-8e3c-a4c3d457158b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-906312d7-59c2-4209-b45d-963cb850f9ff' class='xr-var-data-in' type='checkbox'><label for='data-906312d7-59c2-4209-b45d-963cb850f9ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-b9c8d18f-b427-4417-9295-f871d81d938c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b9c8d18f-b427-4417-9295-f871d81d938c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e0128c4-3a08-4d7e-bf77-5aca6252af8c' class='xr-var-data-in' type='checkbox'><label for='data-6e0128c4-3a08-4d7e-bf77-5aca6252af8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -1070,7 +1087,7 @@ <h3>Loading data from netCDF<a class="headerlink" href="#loading-data-from-netcd
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4c5f0fa3-6741-4182-9441-8d6ef6f9b585' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c5f0fa3-6741-4182-9441-8d6ef6f9b585' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8a6ba41a-dd68-40dc-a1cc-7613b38a8cee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a6ba41a-dd68-40dc-a1cc-7613b38a8cee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92bb6bdd-49eb-42f6-ba0f-16da018c5cb5' class='xr-var-data-in' type='checkbox'><label for='data-92bb6bdd-49eb-42f6-ba0f-16da018c5cb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>[2050560 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-14593145-fd53-43a8-b234-b38dcfa79056' class='xr-section-summary-in' type='checkbox'  ><label for='section-14593145-fd53-43a8-b234-b38dcfa79056' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f76f3483-e25b-4222-95f2-9a834e2289a3' class='xr-index-data-in' type='checkbox'/><label for='index-f76f3483-e25b-4222-95f2-9a834e2289a3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-161a63c3-b945-4e82-8858-530c0250d71f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-161a63c3-b945-4e82-8858-530c0250d71f' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c0be1224-33c7-45ed-b20b-d2a525b221dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0be1224-33c7-45ed-b20b-d2a525b221dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c5a8276-44c2-430b-9b36-28f7ef16bed2' class='xr-var-data-in' type='checkbox'><label for='data-6c5a8276-44c2-430b-9b36-28f7ef16bed2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>[2050560 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de1f8ea7-0ea7-4301-96cb-86490f2d4a54' class='xr-section-summary-in' type='checkbox'  ><label for='section-de1f8ea7-0ea7-4301-96cb-86490f2d4a54' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-11ec04c6-a72d-47e5-9f5b-04044dfe634e' class='xr-index-data-in' type='checkbox'/><label for='index-11ec04c6-a72d-47e5-9f5b-04044dfe634e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1079,17 +1096,17 @@ <h3>Loading data from netCDF<a class="headerlink" href="#loading-data-from-netcd
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e93f1569-132f-47c0-80eb-a9c3f7142b1b' class='xr-index-data-in' type='checkbox'/><label for='index-e93f1569-132f-47c0-80eb-a9c3f7142b1b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f5787bd1-924f-4c0f-85ed-7b7b4b64a2b4' class='xr-index-data-in' type='checkbox'/><label for='index-f5787bd1-924f-4c0f-85ed-7b7b4b64a2b4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4ee61185-98ce-4aa5-b827-c4e2743b39c5' class='xr-index-data-in' type='checkbox'/><label for='index-4ee61185-98ce-4aa5-b827-c4e2743b39c5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d6c50821-3128-4554-ac57-08526ec53b37' class='xr-index-data-in' type='checkbox'/><label for='index-d6c50821-3128-4554-ac57-08526ec53b37' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f3c39e84-4d18-452f-87be-3b414532a309' class='xr-section-summary-in' type='checkbox'  ><label for='section-f3c39e84-4d18-452f-87be-3b414532a309' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d31e4609-7adc-48f3-883a-d3ef1b1ed753' class='xr-section-summary-in' type='checkbox'  ><label for='section-d31e4609-7adc-48f3-883a-d3ef1b1ed753' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1198,7 +1215,7 @@ <h3>Loading data from netCDF<a class="headerlink" href="#loading-data-from-netcd
 </div>
 </section>
 <section id="dataset">
-<h3><code class="docutils literal notranslate"><span class="pre">Dataset</span></code><a class="headerlink" href="#dataset" title="Permalink to this headline">#</a></h3>
+<h3><code class="docutils literal notranslate"><span class="pre">Dataset</span></code><a class="headerlink" href="#dataset" title="Permalink to this heading">#</a></h3>
 <ul class="simple">
 <li><p>Xarray’s <code class="docutils literal notranslate"><span class="pre">Dataset</span></code> is a dict-like container of labeled arrays (<code class="docutils literal notranslate"><span class="pre">DataArrays</span></code>)
 with aligned dimensions. - It is designed as an in-memory representation of a
@@ -1628,14 +1645,14 @@ <h3><code class="docutils literal notranslate"><span class="pre">Dataset</span><
     dataset:       NOAA Extended Reconstructed SST V5
     parent_stat:   Individual Values
     actual_range:  [-1.8     42.32636]
-    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d7668a6b-ab20-4268-863d-35b3b73e8b60' class='xr-array-in' type='checkbox' checked><label for='section-d7668a6b-ab20-4268-863d-35b3b73e8b60' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[16020 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-3bb1c94c-029f-4af7-b51b-9f8a8059122d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3bb1c94c-029f-4af7-b51b-9f8a8059122d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-74835cd7-9bd5-4f33-838f-a3c57070ea70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-74835cd7-9bd5-4f33-838f-a3c57070ea70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3719bcae-9467-46ee-b854-dc2d83ab749d' class='xr-var-data-in' type='checkbox'><label for='data-3719bcae-9467-46ee-b854-dc2d83ab749d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-95b6225e-3a84-4056-a304-66b78d785043' class='xr-array-in' type='checkbox' checked><label for='section-95b6225e-3a84-4056-a304-66b78d785043' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[16020 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-d9c70081-b603-45a7-b681-0651be15fac1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9c70081-b603-45a7-b681-0651be15fac1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-383c9c59-3c60-4bfa-b15d-4e752c15165e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-383c9c59-3c60-4bfa-b15d-4e752c15165e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4886b711-f15f-416f-80a9-29e320ca0b18' class='xr-var-data-in' type='checkbox'><label for='data-4886b711-f15f-416f-80a9-29e320ca0b18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-5b168629-5ee0-4567-a759-04eef6a5e68c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b168629-5ee0-4567-a759-04eef6a5e68c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85f2c652-852c-4ddc-8e20-4b50ba053232' class='xr-var-data-in' type='checkbox'><label for='data-85f2c652-852c-4ddc-8e20-4b50ba053232' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-328332bd-975f-4e91-987f-e9751881032b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-328332bd-975f-4e91-987f-e9751881032b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a26b9a52-e084-43dd-a06d-ea2d0fb99530' class='xr-var-data-in' type='checkbox'><label for='data-a26b9a52-e084-43dd-a06d-ea2d0fb99530' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -1650,7 +1667,7 @@ <h3><code class="docutils literal notranslate"><span class="pre">Dataset</span><
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01</div><input id='attrs-7288df92-a890-462a-b1c2-a0c13943efb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7288df92-a890-462a-b1c2-a0c13943efb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1349dc02-3f09-4a9c-9054-e82702e6d102' class='xr-var-data-in' type='checkbox'><label for='data-1349dc02-3f09-4a9c-9054-e82702e6d102' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2010-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cafea640-2b52-4d98-845a-333c75a34f4a' class='xr-section-summary-in' type='checkbox'  ><label for='section-cafea640-2b52-4d98-845a-333c75a34f4a' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2816f478-6b8a-4496-b3f0-da74fed8d8fe' class='xr-index-data-in' type='checkbox'/><label for='index-2816f478-6b8a-4496-b3f0-da74fed8d8fe' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01</div><input id='attrs-ba2a6fc1-dcbe-45c2-ab46-52db886656bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba2a6fc1-dcbe-45c2-ab46-52db886656bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a35b894f-4add-47c6-9c42-da75d787d02d' class='xr-var-data-in' type='checkbox'><label for='data-a35b894f-4add-47c6-9c42-da75d787d02d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2010-01-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ed3291a0-0474-426a-a7b1-300b8d5b4bef' class='xr-section-summary-in' type='checkbox'  ><label for='section-ed3291a0-0474-426a-a7b1-300b8d5b4bef' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-040eff5e-5a01-4822-9cf8-2ede24333591' class='xr-index-data-in' type='checkbox'/><label for='index-040eff5e-5a01-4822-9cf8-2ede24333591' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1659,10 +1676,10 @@ <h3><code class="docutils literal notranslate"><span class="pre">Dataset</span><
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-244ed3fc-c8e8-4c3a-9385-816b12bad95a' class='xr-index-data-in' type='checkbox'/><label for='index-244ed3fc-c8e8-4c3a-9385-816b12bad95a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7700a73b-b138-41bc-9e9c-5d03aab902cd' class='xr-index-data-in' type='checkbox'/><label for='index-7700a73b-b138-41bc-9e9c-5d03aab902cd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa803b5a-93cf-46bd-becf-3a57bce110a9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fa803b5a-93cf-46bd-becf-3a57bce110a9' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a3a213a-481b-4cc0-9218-5b908f6fc5d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0a3a213a-481b-4cc0-9218-5b908f6fc5d5' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1672,7 +1689,7 @@ <h3><code class="docutils literal notranslate"><span class="pre">Dataset</span><
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/770bc9f06c2022ec40ea89699357d94168bb0f177ebebba6accd6afd5f66d436.png" src="../../_images/770bc9f06c2022ec40ea89699357d94168bb0f177ebebba6accd6afd5f66d436.png" />
+<img alt="../../_images/e5ede20633959f829435ec0b10c20ea8db8a47b6673a507b77d40eef45e25619.png" src="../../_images/e5ede20633959f829435ec0b10c20ea8db8a47b6673a507b77d40eef45e25619.png" />
 </div>
 </div>
 <div class="cell docutils container">
@@ -1683,7 +1700,7 @@ <h3><code class="docutils literal notranslate"><span class="pre">Dataset</span><
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Frozen({&#39;lat&#39;: 89, &#39;lon&#39;: 180, &#39;time&#39;: 128})
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>FrozenMappingWarningOnValuesAccess({&#39;lat&#39;: 89, &#39;lon&#39;: 180, &#39;time&#39;: 128})
 </pre></div>
 </div>
 </div>
@@ -1755,7 +1772,7 @@ <h3><code class="docutils literal notranslate"><span class="pre">Dataset</span><
 </div>
 </section>
 <section id="dataarray">
-<h3><code class="docutils literal notranslate"><span class="pre">DataArray</span></code><a class="headerlink" href="#dataarray" title="Permalink to this headline">#</a></h3>
+<h3><code class="docutils literal notranslate"><span class="pre">DataArray</span></code><a class="headerlink" href="#dataarray" title="Permalink to this heading">#</a></h3>
 <p>The DataArray is xarray’s implementation of a labeled, multi-dimensional array.
 It has several key properties:</p>
 <table class="colwidths-auto table">
@@ -2168,14 +2185,14 @@ <h3><code class="docutils literal notranslate"><span class="pre">DataArray</span
     dataset:       NOAA Extended Reconstructed SST V5
     parent_stat:   Individual Values
     actual_range:  [-1.8     42.32636]
-    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3ae71727-9c84-4c89-846e-fd51089a8e98' class='xr-array-in' type='checkbox' checked><label for='section-3ae71727-9c84-4c89-846e-fd51089a8e98' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[2050560 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-9dfe71ba-d3e7-44cf-88ba-b1e64b525534' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9dfe71ba-d3e7-44cf-88ba-b1e64b525534' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-3b405642-7dbf-4bab-9c84-9582c33ab196' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b405642-7dbf-4bab-9c84-9582c33ab196' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c466613-1e26-479f-a685-2d2c6324dfb5' class='xr-var-data-in' type='checkbox'><label for='data-0c466613-1e26-479f-a685-2d2c6324dfb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-46711df6-5709-426d-b365-010922c23ebf' class='xr-array-in' type='checkbox' checked><label for='section-46711df6-5709-426d-b365-010922c23ebf' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[2050560 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-6268eb23-b442-4fb3-ae0a-d58d2f84a713' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6268eb23-b442-4fb3-ae0a-d58d2f84a713' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-6a76fd57-c317-4f46-a5d2-1533c698baef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a76fd57-c317-4f46-a5d2-1533c698baef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4661114-195b-41be-bbc2-4e396c08d912' class='xr-var-data-in' type='checkbox'><label for='data-b4661114-195b-41be-bbc2-4e396c08d912' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-66b2414b-0690-45d5-b6d3-59457ce72dc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66b2414b-0690-45d5-b6d3-59457ce72dc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-950a221b-f5b3-4dd4-8d41-38f9a7a4ac4a' class='xr-var-data-in' type='checkbox'><label for='data-950a221b-f5b3-4dd4-8d41-38f9a7a4ac4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-7cc40ef6-81a9-4303-b0b9-1b5f808f12ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7cc40ef6-81a9-4303-b0b9-1b5f808f12ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6980b73e-9e8b-48e8-86ee-00b845926b21' class='xr-var-data-in' type='checkbox'><label for='data-6980b73e-9e8b-48e8-86ee-00b845926b21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -2190,7 +2207,7 @@ <h3><code class="docutils literal notranslate"><span class="pre">DataArray</span
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-753e21a4-f5f6-4871-9413-b60ce3b3cb16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-753e21a4-f5f6-4871-9413-b60ce3b3cb16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cc403c9-212e-4edd-ae13-410366bc155c' class='xr-var-data-in' type='checkbox'><label for='data-8cc403c9-212e-4edd-ae13-410366bc155c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-85c43bc5-2286-4a6e-991c-9d1a47d9ab29' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85c43bc5-2286-4a6e-991c-9d1a47d9ab29' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-228900a6-6fab-47cb-8679-c5dcf253490f' class='xr-var-data-in' type='checkbox'><label for='data-228900a6-6fab-47cb-8679-c5dcf253490f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -2254,7 +2271,7 @@ <h3><code class="docutils literal notranslate"><span class="pre">DataArray</span
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ea16f85-b7a5-4b5d-bdd9-8cb13c66b6c5' class='xr-section-summary-in' type='checkbox'  ><label for='section-0ea16f85-b7a5-4b5d-bdd9-8cb13c66b6c5' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a8e8ad82-5f18-4f8b-aa4d-22d36042f376' class='xr-index-data-in' type='checkbox'/><label for='index-a8e8ad82-5f18-4f8b-aa4d-22d36042f376' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee3518de-c67e-47b8-9c12-7167cab9a254' class='xr-section-summary-in' type='checkbox'  ><label for='section-ee3518de-c67e-47b8-9c12-7167cab9a254' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f7d4a656-304e-4818-9ed3-af88558f1ad1' class='xr-index-data-in' type='checkbox'/><label for='index-f7d4a656-304e-4818-9ed3-af88558f1ad1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -2263,17 +2280,17 @@ <h3><code class="docutils literal notranslate"><span class="pre">DataArray</span
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1bdfd55e-804e-4c6d-a0f4-dddb99f97067' class='xr-index-data-in' type='checkbox'/><label for='index-1bdfd55e-804e-4c6d-a0f4-dddb99f97067' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e67657e3-955a-4384-ae48-53b550d8fb7b' class='xr-index-data-in' type='checkbox'/><label for='index-e67657e3-955a-4384-ae48-53b550d8fb7b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-74907a6f-4733-4a92-ad5f-463d9e096751' class='xr-index-data-in' type='checkbox'/><label for='index-74907a6f-4733-4a92-ad5f-463d9e096751' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-60f0056e-127f-4148-ba0b-cda32f958a85' class='xr-index-data-in' type='checkbox'/><label for='index-60f0056e-127f-4148-ba0b-cda32f958a85' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-661492a5-1144-4f8e-835e-c3d346a94015' class='xr-section-summary-in' type='checkbox'  checked><label for='section-661492a5-1144-4f8e-835e-c3d346a94015' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7ea1cb89-0849-43eb-8a6d-680dfe1c35f1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7ea1cb89-0849-43eb-8a6d-680dfe1c35f1' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell tag_hide-output docutils container">
 <div class="cell_input above-output-prompt docutils container">
@@ -2395,7 +2412,7 @@ <h3><code class="docutils literal notranslate"><span class="pre">DataArray</span
 </section>
 </section>
 <section id="coordinates-vs-dimensions">
-<h2>Coordinates vs dimensions<a class="headerlink" href="#coordinates-vs-dimensions" title="Permalink to this headline">#</a></h2>
+<h2>Coordinates vs dimensions<a class="headerlink" href="#coordinates-vs-dimensions" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>DataArray objects inside a Dataset may have any number of dimensions but are
 presumed to share a common coordinate system.</p></li>
@@ -2411,7 +2428,7 @@ <h2>Coordinates vs dimensions<a class="headerlink" href="#coordinates-vs-dimensi
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Frozen({&#39;lat&#39;: 89, &#39;lon&#39;: 180, &#39;time&#39;: 128})
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>FrozenMappingWarningOnValuesAccess({&#39;lat&#39;: 89, &#39;lon&#39;: 180, &#39;time&#39;: 128})
 </pre></div>
 </div>
 </div>
@@ -2832,7 +2849,7 @@ <h2>Coordinates vs dimensions<a class="headerlink" href="#coordinates-vs-dimensi
     actual_range:        [  0. 358.]
     standard_name:       longitude
     axis:                X
-    coordinate_defines:  center</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lon'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5e0e5c1e-bfc6-4e86-981b-74e03dfdb947' class='xr-array-in' type='checkbox' checked><label for='section-5e0e5c1e-bfc6-4e86-981b-74e03dfdb947' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 2.0 4.0 6.0 8.0 10.0 12.0 ... 348.0 350.0 352.0 354.0 356.0 358.0</span></div><div class='xr-array-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+    coordinate_defines:  center</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'lon'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7a47770b-69a6-475f-bdad-be1e7a76e215' class='xr-array-in' type='checkbox' checked><label for='section-7a47770b-69a6-475f-bdad-be1e7a76e215' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 2.0 4.0 6.0 8.0 10.0 12.0 ... 348.0 350.0 352.0 354.0 356.0 358.0</span></div><div class='xr-array-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -2847,7 +2864,7 @@ <h2>Coordinates vs dimensions<a class="headerlink" href="#coordinates-vs-dimensi
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e9b04c7a-f8da-4423-aa7f-f0a3c0a74167' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9b04c7a-f8da-4423-aa7f-f0a3c0a74167' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-46e03468-4419-4fde-be32-07c0b0ab886f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46e03468-4419-4fde-be32-07c0b0ab886f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2fce217-3e59-4d27-a394-c488ad775b9b' class='xr-var-data-in' type='checkbox'><label for='data-a2fce217-3e59-4d27-a394-c488ad775b9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-995c8aa7-4cc3-4826-acbc-90e81b09f7ff' class='xr-section-summary-in' type='checkbox'  checked><label for='section-995c8aa7-4cc3-4826-acbc-90e81b09f7ff' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-16a5df52-e87c-4a3d-8b1b-196536253495' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16a5df52-e87c-4a3d-8b1b-196536253495' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5f415ec-b687-49e1-b63d-922a5dc8eda4' class='xr-var-data-in' type='checkbox'><label for='data-f5f415ec-b687-49e1-b63d-922a5dc8eda4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -2862,10 +2879,10 @@ <h2>Coordinates vs dimensions<a class="headerlink" href="#coordinates-vs-dimensi
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc24efdb-596e-47a0-ba72-ab921bb46663' class='xr-section-summary-in' type='checkbox'  ><label for='section-bc24efdb-596e-47a0-ba72-ab921bb46663' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-13b912c0-1a56-4b50-9d9d-0c45778511b9' class='xr-index-data-in' type='checkbox'/><label for='index-13b912c0-1a56-4b50-9d9d-0c45778511b9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3abca9d2-b99a-4ff1-ac00-2bba5498cf13' class='xr-section-summary-in' type='checkbox'  ><label for='section-3abca9d2-b99a-4ff1-ac00-2bba5498cf13' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cbd771aa-7bc8-4b48-811f-1bf46ce2d205' class='xr-index-data-in' type='checkbox'/><label for='index-cbd771aa-7bc8-4b48-811f-1bf46ce2d205' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3fcbd843-f381-4fdf-b77c-38c9bf152573' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3fcbd843-f381-4fdf-b77c-38c9bf152573' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c6ea8c80-b4c1-4494-851f-47966944fca5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c6ea8c80-b4c1-4494-851f-47966944fca5' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 <div class="cell tag_hide-output docutils container">
@@ -3319,7 +3336,7 @@ <h2>Coordinates vs dimensions<a class="headerlink" href="#coordinates-vs-dimensi
     prev_avg_period:  0000-00-07 00:00:00
     standard_name:    time
     axis:             T
-    actual_range:     [19723. 80566.]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-54efabb7-c1db-4dff-aef2-5e503a59ee7c' class='xr-array-in' type='checkbox' checked><label for='section-54efabb7-c1db-4dff-aef2-5e503a59ee7c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2010-01-01 2010-02-01 2010-03-01 ... 2020-06-01 2020-07-01 2020-08-01</span></div><div class='xr-array-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+    actual_range:     [19723. 80566.]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d38384ff-c922-40cb-8d90-912b196cc1bf' class='xr-array-in' type='checkbox' checked><label for='section-d38384ff-c922-40cb-8d90-912b196cc1bf' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2010-01-01 2010-02-01 2010-03-01 ... 2020-06-01 2020-07-01 2020-08-01</span></div><div class='xr-array-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -3383,7 +3400,7 @@ <h2>Coordinates vs dimensions<a class="headerlink" href="#coordinates-vs-dimensi
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-e1126102-5036-470a-bc6f-6489a2be7b21' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e1126102-5036-470a-bc6f-6489a2be7b21' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-4fe0d68f-9671-4287-8941-ec075b620a08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fe0d68f-9671-4287-8941-ec075b620a08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aee8e2a-3b5b-4909-bf2d-317c4bd7e6f9' class='xr-var-data-in' type='checkbox'><label for='data-9aee8e2a-3b5b-4909-bf2d-317c4bd7e6f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-16fe47c5-ee8a-480b-820f-6eb61efb356b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-16fe47c5-ee8a-480b-820f-6eb61efb356b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-de2e568d-4ed7-4676-b198-c59caa3a95f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de2e568d-4ed7-4676-b198-c59caa3a95f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea21cabb-5239-481c-b3ff-48bcd2dafa60' class='xr-var-data-in' type='checkbox'><label for='data-ea21cabb-5239-481c-b3ff-48bcd2dafa60' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -3447,19 +3464,19 @@ <h2>Coordinates vs dimensions<a class="headerlink" href="#coordinates-vs-dimensi
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0f57915f-172f-4b66-a908-46a7f1b04196' class='xr-section-summary-in' type='checkbox'  ><label for='section-0f57915f-172f-4b66-a908-46a7f1b04196' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-abda826e-b707-482b-9ddb-257cbdb068e8' class='xr-index-data-in' type='checkbox'/><label for='index-abda826e-b707-482b-9ddb-257cbdb068e8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d729d364-7daa-4cae-aa3a-f76d5d8b462f' class='xr-section-summary-in' type='checkbox'  ><label for='section-d729d364-7daa-4cae-aa3a-f76d5d8b462f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-25eb32f9-9739-4a62-9d4a-c08c29a66a64' class='xr-index-data-in' type='checkbox'/><label for='index-25eb32f9-9739-4a62-9d4a-c08c29a66a64' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4311e04d-c9fd-4eb0-a61e-328e8357558d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4311e04d-c9fd-4eb0-a61e-328e8357558d' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96b7f0c9-32bb-4888-b6f3-21d49d6cc72b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96b7f0c9-32bb-4888-b6f3-21d49d6cc72b' class='xr-section-summary' >Attributes: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 </section>
 <section id="attributes">
-<h2>Attributes<a class="headerlink" href="#attributes" title="Permalink to this headline">#</a></h2>
+<h2>Attributes<a class="headerlink" href="#attributes" title="Permalink to this heading">#</a></h2>
 <p>Attributes can be used to store metadata. What metadata should you store? It
 depends on your domain and your needs</p>
 <div class="cell tag_output_scroll docutils container">
@@ -3557,7 +3574,7 @@ <h2>Attributes<a class="headerlink" href="#attributes" title="Permalink to this
 </div>
 </section>
 <section id="going-further">
-<h2>Going Further<a class="headerlink" href="#going-further" title="Permalink to this headline">#</a></h2>
+<h2>Going Further<a class="headerlink" href="#going-further" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>Xarray Documentation on Data Structures:
 <a class="reference external" href="https://docs.xarray.dev/en/stable/data-structures.html">https://docs.xarray.dev/en/stable/data-structures.html</a></p></li>
@@ -3595,11 +3612,10 @@ <h2>Going Further<a class="headerlink" href="#going-further" title="Permalink to
 
               
               
-                <footer class="bd-footer-article">
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@@ -3619,10 +3635,7 @@ <h2>Going Further<a class="headerlink" href="#going-further" title="Permalink to
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                 <div class="bd-sidebar-secondary bd-toc"><div class="sidebar-secondary-items sidebar-secondary__inner">
 
+
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@@ -3669,6 +3683,7 @@ <h2>Going Further<a class="headerlink" href="#going-further" title="Permalink to
   
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+
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@@ -3695,8 +3710,8 @@ <h2>Going Further<a class="headerlink" href="#going-further" title="Permalink to
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diff --git a/workshops/online-tutorial-series/02_indexing.html b/workshops/online-tutorial-series/02_indexing.html
index 6b2bf6ce..c43928aa 100644
--- a/workshops/online-tutorial-series/02_indexing.html
+++ b/workshops/online-tutorial-series/02_indexing.html
@@ -3,7 +3,7 @@
 <!DOCTYPE html>
 
 
-<html lang="en" >
+<html lang="en" data-content_root="" >
 
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@@ -19,15 +19,15 @@
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@@ -83,7 +85,15 @@
 
   
   
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+
   
 
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@@ -144,13 +158,14 @@
   
   
   
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+    <script>document.write(`<img src="../../_static/logo.png" class="logo__image only-dark" alt=" - Home"/>`);</script>
   
   
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@@ -462,20 +477,22 @@
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@@ -518,12 +535,12 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="indexing-and-selecting-data">
-<h1>Indexing and Selecting Data<a class="headerlink" href="#indexing-and-selecting-data" title="Permalink to this headline">#</a></h1>
+<h1>Indexing and Selecting Data<a class="headerlink" href="#indexing-and-selecting-data" title="Permalink to this heading">#</a></h1>
 <section id="learning-objectives">
-<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this headline">#</a></h2>
+<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>Select data by position using <code class="docutils literal notranslate"><span class="pre">.isel</span></code> with values or slices</p></li>
 <li><p>Select data by label using <code class="docutils literal notranslate"><span class="pre">.sel</span></code> with values or slices</p></li>
@@ -532,7 +549,7 @@ <h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="
 </ul>
 </section>
 <section id="why-do-we-need-label-based-indexing">
-<h2>Why do we need label-based indexing?<a class="headerlink" href="#why-do-we-need-label-based-indexing" title="Permalink to this headline">#</a></h2>
+<h2>Why do we need label-based indexing?<a class="headerlink" href="#why-do-we-need-label-based-indexing" title="Permalink to this heading">#</a></h2>
 <p>Scientific data is inherently labeled. For example, time series data includes
 timestamps that label individual periods or points in time, spatial data has
 coordinates (e.g. longitude, latitude, elevation), and model or laboratory
@@ -938,14 +955,14 @@ <h2>Why do we need label-based indexing?<a class="headerlink" href="#why-do-we-n
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-deee1898-181e-460f-ba4c-07a6635527fe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-deee1898-181e-460f-ba4c-07a6635527fe' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b6a62449-8952-484f-bd69-b6b84ee0388c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b6a62449-8952-484f-bd69-b6b84ee0388c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-5b5ed28f-f301-496d-95e1-0de7ca43c5c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b5ed28f-f301-496d-95e1-0de7ca43c5c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6d655349-0c0c-4e20-9e0b-cfb4d32d5088' class='xr-var-data-in' type='checkbox'><label for='data-6d655349-0c0c-4e20-9e0b-cfb4d32d5088' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-60d121dc-e881-494a-a66b-047c0cb6a28f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-60d121dc-e881-494a-a66b-047c0cb6a28f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-5747a15c-ec8b-4472-ad20-cee24200221f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5747a15c-ec8b-4472-ad20-cee24200221f' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-4ffd4da2-ae89-4fe5-af9d-6971daae3ce9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ffd4da2-ae89-4fe5-af9d-6971daae3ce9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c52818a-8477-4639-8863-b331332910d6' class='xr-var-data-in' type='checkbox'><label for='data-3c52818a-8477-4639-8863-b331332910d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-6d843241-0da7-4b7f-bdcf-164fa3a2c74a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d843241-0da7-4b7f-bdcf-164fa3a2c74a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3527761-d8d2-4265-99be-d0bfbb428ae2' class='xr-var-data-in' type='checkbox'><label for='data-a3527761-d8d2-4265-99be-d0bfbb428ae2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-8cb624e4-b887-4944-8d2c-0091718aecb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cb624e4-b887-4944-8d2c-0091718aecb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31520d48-2a6d-44c8-a48e-725638e82482' class='xr-var-data-in' type='checkbox'><label for='data-31520d48-2a6d-44c8-a48e-725638e82482' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -960,7 +977,7 @@ <h2>Why do we need label-based indexing?<a class="headerlink" href="#why-do-we-n
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-d8d560cc-d74b-4b38-b1f6-48d5ac0bbddb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8d560cc-d74b-4b38-b1f6-48d5ac0bbddb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8978df34-5513-49ff-b1bc-6730eda1cdfb' class='xr-var-data-in' type='checkbox'><label for='data-8978df34-5513-49ff-b1bc-6730eda1cdfb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-f4d1869d-7db0-41ea-99c3-3caba8d47f43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4d1869d-7db0-41ea-99c3-3caba8d47f43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56418265-5a9a-4d74-93fa-8b52dbf291cf' class='xr-var-data-in' type='checkbox'><label for='data-56418265-5a9a-4d74-93fa-8b52dbf291cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -1024,7 +1041,7 @@ <h2>Why do we need label-based indexing?<a class="headerlink" href="#why-do-we-n
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-73bd4a47-5a03-40cb-ac84-f316dccb205c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-73bd4a47-5a03-40cb-ac84-f316dccb205c' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-65793f0b-3c02-49e5-8173-f2492ccf8124' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65793f0b-3c02-49e5-8173-f2492ccf8124' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93980e79-e20e-4417-a650-080233e9e223' class='xr-var-data-in' type='checkbox'><label for='data-93980e79-e20e-4417-a650-080233e9e223' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>[2050560 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3cd0925-f721-4cfa-886c-ff2583cb4777' class='xr-section-summary-in' type='checkbox'  ><label for='section-e3cd0925-f721-4cfa-886c-ff2583cb4777' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4ca63575-e230-4888-8286-6f47b68cd224' class='xr-index-data-in' type='checkbox'/><label for='index-4ca63575-e230-4888-8286-6f47b68cd224' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-387673dc-1f30-40ad-9078-c0b4518cd7b5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-387673dc-1f30-40ad-9078-c0b4518cd7b5' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3c6902b3-b7d5-4ed5-b06f-26f73c21bd5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c6902b3-b7d5-4ed5-b06f-26f73c21bd5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64b572b9-2853-49e9-9d58-8899b69be3d7' class='xr-var-data-in' type='checkbox'><label for='data-64b572b9-2853-49e9-9d58-8899b69be3d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>[2050560 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d213b798-3c68-4812-b29a-3debf0c13142' class='xr-section-summary-in' type='checkbox'  ><label for='section-d213b798-3c68-4812-b29a-3debf0c13142' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e7f5cf2b-d77d-479f-967d-91466a6becde' class='xr-index-data-in' type='checkbox'/><label for='index-e7f5cf2b-d77d-479f-967d-91466a6becde' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1033,21 +1050,21 @@ <h2>Why do we need label-based indexing?<a class="headerlink" href="#why-do-we-n
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-79df1e0e-96bf-41d9-8968-0a41d5a0b617' class='xr-index-data-in' type='checkbox'/><label for='index-79df1e0e-96bf-41d9-8968-0a41d5a0b617' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-90afb4aa-b86c-4c14-97ee-5707a6309560' class='xr-index-data-in' type='checkbox'/><label for='index-90afb4aa-b86c-4c14-97ee-5707a6309560' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9d38cf51-de17-441f-80d4-1d0e25116d86' class='xr-index-data-in' type='checkbox'/><label for='index-9d38cf51-de17-441f-80d4-1d0e25116d86' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3be8a4df-35c9-4007-8c68-912c3c516861' class='xr-index-data-in' type='checkbox'/><label for='index-3be8a4df-35c9-4007-8c68-912c3c516861' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1c5bad56-8392-456b-8c9e-349b68816bd4' class='xr-section-summary-in' type='checkbox'  ><label for='section-1c5bad56-8392-456b-8c9e-349b68816bd4' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-15171e70-e924-4e60-8dd3-2c37c43d4fa1' class='xr-section-summary-in' type='checkbox'  ><label for='section-15171e70-e924-4e60-8dd3-2c37c43d4fa1' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="numpy-positional-indexing">
-<h2>NumPy Positional Indexing<a class="headerlink" href="#numpy-positional-indexing" title="Permalink to this headline">#</a></h2>
+<h2>NumPy Positional Indexing<a class="headerlink" href="#numpy-positional-indexing" title="Permalink to this heading">#</a></h2>
 <p>When working with numpy, indexing is done by position (slices/ranges/scalars).</p>
 <div class="cell tag_hide-output docutils container">
 <div class="cell_input above-output-prompt docutils container">
@@ -1162,7 +1179,7 @@ <h2>NumPy Positional Indexing<a class="headerlink" href="#numpy-positional-index
 </div>
 </section>
 <section id="indexing-with-xarray">
-<h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title="Permalink to this headline">#</a></h2>
+<h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title="Permalink to this heading">#</a></h2>
 <p>xarray offers extremely flexible indexing routines that combine the best
 features of NumPy and pandas for data selection.</p>
 <div class="cell tag_hide-output docutils container">
@@ -1580,7 +1597,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
     dataset:       NOAA Extended Reconstructed SST V5
     parent_stat:   Individual Values
     actual_range:  [-1.8     42.32636]
-    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3a832001-b97e-45a7-a53b-f913b4a057a2' class='xr-array-in' type='checkbox' checked><label for='section-3a832001-b97e-45a7-a53b-f913b4a057a2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.8 -1.8 -1.8 -1.8 -1.8 -1.8 -1.8 ... nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[-1.8, -1.8, ..., -1.8, -1.8],
+    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fc6e4c64-1689-4c71-8f1e-23355ccba312' class='xr-array-in' type='checkbox' checked><label for='section-fc6e4c64-1689-4c71-8f1e-23355ccba312' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.8 -1.8 -1.8 -1.8 -1.8 -1.8 -1.8 ... nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[-1.8, -1.8, ..., -1.8, -1.8],
         [-1.8, -1.8, ..., -1.8, -1.8],
         ...,
         [ nan,  nan, ...,  nan,  nan],
@@ -1604,14 +1621,14 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
         [-1.8, -1.8, ..., -1.8, -1.8],
         ...,
         [ nan,  nan, ...,  nan,  nan],
-        [ nan,  nan, ...,  nan,  nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-533e387a-6566-4e9d-a748-bbb5a926d879' class='xr-section-summary-in' type='checkbox'  checked><label for='section-533e387a-6566-4e9d-a748-bbb5a926d879' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-cff4cd86-9e31-4a23-96ea-5e2fa41112c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cff4cd86-9e31-4a23-96ea-5e2fa41112c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-706881cb-6e23-4881-bc84-1c74dea70bac' class='xr-var-data-in' type='checkbox'><label for='data-706881cb-6e23-4881-bc84-1c74dea70bac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+        [ nan,  nan, ...,  nan,  nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-de5d55a9-e9d7-4641-b73b-d22e17eb7a2e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-de5d55a9-e9d7-4641-b73b-d22e17eb7a2e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-be72eed5-0f34-475c-9332-8c8c84079b76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be72eed5-0f34-475c-9332-8c8c84079b76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b54b9ce-48f9-46c2-aa58-ee6a301320f5' class='xr-var-data-in' type='checkbox'><label for='data-8b54b9ce-48f9-46c2-aa58-ee6a301320f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-0d0c2667-5411-4729-b7ec-d5eb8ff6c92a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d0c2667-5411-4729-b7ec-d5eb8ff6c92a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b59e8723-db70-4f0c-944c-60007b48d745' class='xr-var-data-in' type='checkbox'><label for='data-b59e8723-db70-4f0c-944c-60007b48d745' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-998c5362-e4f8-4a71-9bb2-5b1a80629f52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-998c5362-e4f8-4a71-9bb2-5b1a80629f52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a977f28f-a133-4b84-b028-09cea1ba6638' class='xr-var-data-in' type='checkbox'><label for='data-a977f28f-a133-4b84-b028-09cea1ba6638' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -1626,7 +1643,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-fb3eb4ed-38c9-4aba-863d-44df31cd82b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb3eb4ed-38c9-4aba-863d-44df31cd82b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-909c62ca-5334-4064-8eef-a344d47202a1' class='xr-var-data-in' type='checkbox'><label for='data-909c62ca-5334-4064-8eef-a344d47202a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-f438611f-b232-4467-b95d-1f8d172b3495' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f438611f-b232-4467-b95d-1f8d172b3495' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-996ee6b7-792c-44ff-a315-aebb70b090ca' class='xr-var-data-in' type='checkbox'><label for='data-996ee6b7-792c-44ff-a315-aebb70b090ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -1690,7 +1707,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b609097-97ba-489f-b5e8-83ccf169d348' class='xr-section-summary-in' type='checkbox'  ><label for='section-3b609097-97ba-489f-b5e8-83ccf169d348' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-69c5c598-9d8e-4c81-90a3-56eebc0d94cb' class='xr-index-data-in' type='checkbox'/><label for='index-69c5c598-9d8e-4c81-90a3-56eebc0d94cb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7554fe86-fad6-47f9-9323-1e98184d4e8d' class='xr-section-summary-in' type='checkbox'  ><label for='section-7554fe86-fad6-47f9-9323-1e98184d4e8d' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aa228712-5d79-4f2f-836c-88175d77673a' class='xr-index-data-in' type='checkbox'/><label for='index-aa228712-5d79-4f2f-836c-88175d77673a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1699,17 +1716,17 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-709ae60d-7f98-4062-b2e4-42c01334da4f' class='xr-index-data-in' type='checkbox'/><label for='index-709ae60d-7f98-4062-b2e4-42c01334da4f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5fc5231d-7fdf-48aa-a968-f739cd3f7b47' class='xr-index-data-in' type='checkbox'/><label for='index-5fc5231d-7fdf-48aa-a968-f739cd3f7b47' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d7c2192a-db04-45db-8e32-4bff0728d1f3' class='xr-index-data-in' type='checkbox'/><label for='index-d7c2192a-db04-45db-8e32-4bff0728d1f3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ffcd00f4-30ed-4464-b46e-08285a9c15a9' class='xr-index-data-in' type='checkbox'/><label for='index-ffcd00f4-30ed-4464-b46e-08285a9c15a9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70594553-72fd-4e4d-bf32-f825cbeada38' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70594553-72fd-4e4d-bf32-f825cbeada38' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dbb61a80-6ccb-4dfa-90b4-3e7d89a1205d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dbb61a80-6ccb-4dfa-90b4-3e7d89a1205d' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 <ul class="simple">
@@ -2114,7 +2131,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
     dataset:       NOAA Extended Reconstructed SST V5
     parent_stat:   Individual Values
     actual_range:  [-1.8     42.32636]
-    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4dfa8ef0-3d8d-429d-87d2-8f7b2e1c8fdd' class='xr-array-in' type='checkbox' checked><label for='section-4dfa8ef0-3d8d-429d-87d2-8f7b2e1c8fdd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
+    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dcbb15a9-f9cd-48e5-8a69-87454b7d4128' class='xr-array-in' type='checkbox' checked><label for='section-dcbb15a9-f9cd-48e5-8a69-87454b7d4128' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
@@ -2123,7 +2140,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
-       nan, nan], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-ea490b1c-6edc-4e4a-a131-1687ec4466c2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ea490b1c-6edc-4e4a-a131-1687ec4466c2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>48.0</div><input id='attrs-a59fcf34-5a03-4c66-8efd-6f1452692dff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a59fcf34-5a03-4c66-8efd-6f1452692dff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b741198-f2b6-4dac-ade6-810b99990544' class='xr-var-data-in' type='checkbox'><label for='data-7b741198-f2b6-4dac-ade6-810b99990544' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(48., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.0</div><input id='attrs-4cc42597-1624-4382-afa8-ca76c97a73c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4cc42597-1624-4382-afa8-ca76c97a73c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3d32ea4-fd50-4749-9d1e-e247e6451ac6' class='xr-var-data-in' type='checkbox'><label for='data-d3d32ea4-fd50-4749-9d1e-e247e6451ac6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(80., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-9b903a0a-2eb0-45c5-88fd-e9710b417887' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b903a0a-2eb0-45c5-88fd-e9710b417887' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-979e199c-ad21-45d7-a2d0-ba4fd5e955a3' class='xr-var-data-in' type='checkbox'><label for='data-979e199c-ad21-45d7-a2d0-ba4fd5e955a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+       nan, nan], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-86551095-4914-400b-8425-84be1beab6d2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-86551095-4914-400b-8425-84be1beab6d2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>48.0</div><input id='attrs-3eba62df-e569-4d34-a216-7c4f60eefdbe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3eba62df-e569-4d34-a216-7c4f60eefdbe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d346f2e7-fc19-4e6a-aaf4-a516af75474c' class='xr-var-data-in' type='checkbox'><label for='data-d346f2e7-fc19-4e6a-aaf4-a516af75474c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(48., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>80.0</div><input id='attrs-414b86f9-ccac-4650-893e-ef3a611a9a36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-414b86f9-ccac-4650-893e-ef3a611a9a36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e3801de-5dcc-4b9d-8110-5c60e6eec9a0' class='xr-var-data-in' type='checkbox'><label for='data-6e3801de-5dcc-4b9d-8110-5c60e6eec9a0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(80., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-ed1d7fb8-49a8-4f59-8ad5-20c5c16d61be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ed1d7fb8-49a8-4f59-8ad5-20c5c16d61be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-143e1535-f3ce-4d5e-9743-29732eeb312d' class='xr-var-data-in' type='checkbox'><label for='data-143e1535-f3ce-4d5e-9743-29732eeb312d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -2187,14 +2204,14 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ee84fc7-8ba2-4de3-848c-07447cfb3c8e' class='xr-section-summary-in' type='checkbox'  ><label for='section-4ee84fc7-8ba2-4de3-848c-07447cfb3c8e' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2dcc57ff-6db0-4120-b9c0-d1fb92aa00e0' class='xr-index-data-in' type='checkbox'/><label for='index-2dcc57ff-6db0-4120-b9c0-d1fb92aa00e0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-21a509a3-95a2-4d56-9260-55f6cea193aa' class='xr-section-summary-in' type='checkbox'  ><label for='section-21a509a3-95a2-4d56-9260-55f6cea193aa' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2dc009d1-a653-40dc-9726-e09af2d59899' class='xr-index-data-in' type='checkbox'/><label for='index-2dc009d1-a653-40dc-9726-e09af2d59899' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fd82996c-1b8b-462e-900d-3451fdb975f6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fd82996c-1b8b-462e-900d-3451fdb975f6' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bf824f9e-2e81-420f-a308-dea028e1b57c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bf824f9e-2e81-420f-a308-dea028e1b57c' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 <ul class="simple">
@@ -2207,7 +2224,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/e702e266bbca84c48a7ec2450ef304efb298cb2c4115d2aa022c26712c07023e.png" src="../../_images/e702e266bbca84c48a7ec2450ef304efb298cb2c4115d2aa022c26712c07023e.png" />
+<img alt="../../_images/521078063105eb75eecaeac972234ba249d55a7f89862ce7d239d6c6c8101c65.png" src="../../_images/521078063105eb75eecaeac972234ba249d55a7f89862ce7d239d6c6c8101c65.png" />
 </div>
 </div>
 <ul class="simple">
@@ -2220,7 +2237,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/e702e266bbca84c48a7ec2450ef304efb298cb2c4115d2aa022c26712c07023e.png" src="../../_images/e702e266bbca84c48a7ec2450ef304efb298cb2c4115d2aa022c26712c07023e.png" />
+<img alt="../../_images/521078063105eb75eecaeac972234ba249d55a7f89862ce7d239d6c6c8101c65.png" src="../../_images/521078063105eb75eecaeac972234ba249d55a7f89862ce7d239d6c6c8101c65.png" />
 </div>
 </div>
 <div class="cell docutils container">
@@ -2609,14 +2626,14 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
     dataset:       NOAA Extended Reconstructed SST V5
     parent_stat:   Individual Values
     actual_range:  [-1.8     42.32636]
-    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 8</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8a78663d-4746-4989-939e-a6e708c535c3' class='xr-array-in' type='checkbox' checked><label for='section-8a78663d-4746-4989-939e-a6e708c535c3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.502 5.016 4.809 5.837 7.285 8.645 11.52 12.41</span></div><div class='xr-array-data'><pre>array([ 5.501727,  5.015851,  4.808821,  5.837058,  7.285223,  8.64473 ,
-       11.524967, 12.405846], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-3a6e4ea4-bab0-45ef-bd48-5845bcbfc77c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3a6e4ea4-bab0-45ef-bd48-5845bcbfc77c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-56b5d1aa-eed3-49ea-b360-988a3d33e3a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56b5d1aa-eed3-49ea-b360-988a3d33e3a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f6523a0-0023-4570-b7a7-31f577441b03' class='xr-var-data-in' type='checkbox'><label for='data-4f6523a0-0023-4570-b7a7-31f577441b03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-dc8b993b-e544-4787-b62d-d6c2c7aedb12' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc8b993b-e544-4787-b62d-d6c2c7aedb12' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e384334f-95af-4d24-a26e-4cb7f91abcb5' class='xr-var-data-in' type='checkbox'><label for='data-e384334f-95af-4d24-a26e-4cb7f91abcb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-01 ... 2020-08-01</div><input id='attrs-c277eb8d-618e-4f67-bb94-058e8a306d59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c277eb8d-618e-4f67-bb94-058e8a306d59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bdfc31c-9351-4d34-8c6e-00011240d1fc' class='xr-var-data-in' type='checkbox'><label for='data-9bdfc31c-9351-4d34-8c6e-00011240d1fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-01T00:00:00.000000000&#x27;, &#x27;2020-02-01T00:00:00.000000000&#x27;,
+    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 8</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-74c956a4-1845-43b4-88a5-c0e28dafe85d' class='xr-array-in' type='checkbox' checked><label for='section-74c956a4-1845-43b4-88a5-c0e28dafe85d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>5.502 5.016 4.809 5.837 7.285 8.645 11.52 12.41</span></div><div class='xr-array-data'><pre>array([ 5.501727,  5.015851,  4.808821,  5.837058,  7.285223,  8.64473 ,
+       11.524967, 12.405846], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7d2783d4-46c5-4987-be9c-97a76461e0a5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7d2783d4-46c5-4987-be9c-97a76461e0a5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-86814b97-081d-4937-847a-460d4fb401ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86814b97-081d-4937-847a-460d4fb401ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61d26518-92de-4f15-923f-c8cd684d2afa' class='xr-var-data-in' type='checkbox'><label for='data-61d26518-92de-4f15-923f-c8cd684d2afa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(50., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>200.0</div><input id='attrs-d240bf0c-b269-4016-b7ff-f5c12fcbd66d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d240bf0c-b269-4016-b7ff-f5c12fcbd66d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6c9cc8f-b14b-440b-a825-ca6348806eb4' class='xr-var-data-in' type='checkbox'><label for='data-a6c9cc8f-b14b-440b-a825-ca6348806eb4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(200., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2020-01-01 ... 2020-08-01</div><input id='attrs-8e76af7f-8feb-4e40-b883-453b216d6d5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e76af7f-8feb-4e40-b883-453b216d6d5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f103232b-8ed5-4ecd-956a-c282642d30aa' class='xr-var-data-in' type='checkbox'><label for='data-f103232b-8ed5-4ecd-956a-c282642d30aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2020-01-01T00:00:00.000000000&#x27;, &#x27;2020-02-01T00:00:00.000000000&#x27;,
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d3096e1-4287-4489-a38d-d51a9badca38' class='xr-section-summary-in' type='checkbox'  ><label for='section-6d3096e1-4287-4489-a38d-d51a9badca38' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d7630af3-b182-485a-9aa7-101267a93371' class='xr-index-data-in' type='checkbox'/><label for='index-d7630af3-b182-485a-9aa7-101267a93371' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;, &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d33bf663-7ae9-41d5-9bdb-72f0a8438527' class='xr-section-summary-in' type='checkbox'  ><label for='section-d33bf663-7ae9-41d5-9bdb-72f0a8438527' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cf3c9b1e-1b47-4209-9a0c-8140b36c3261' class='xr-index-data-in' type='checkbox'/><label for='index-cf3c9b1e-1b47-4209-9a0c-8140b36c3261' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;, &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;,
                &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;, &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7596a9e8-e3aa-481a-889f-d6629ee48256' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7596a9e8-e3aa-481a-889f-d6629ee48256' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fffae7bc-772c-454f-92ef-47d6a6ad8217' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fffae7bc-772c-454f-92ef-47d6a6ad8217' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3010,14 +3027,14 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-31acf34d-f549-4a7f-bf84-c833a68b0412' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-31acf34d-f549-4a7f-bf84-c833a68b0412' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 15</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-53349100-e4a2-413b-8852-4902f870a794' class='xr-section-summary-in' type='checkbox'  checked><label for='section-53349100-e4a2-413b-8852-4902f870a794' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-6851872b-19f6-467c-aa50-1dcf85e1dfb8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6851872b-19f6-467c-aa50-1dcf85e1dfb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37314409-6a07-4f3f-985d-6874db677f42' class='xr-var-data-in' type='checkbox'><label for='data-37314409-6a07-4f3f-985d-6874db677f42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5ca6d831-12d5-4f39-8133-10889cd7d341' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5ca6d831-12d5-4f39-8133-10889cd7d341' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 15</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d9b121c4-b52b-40e2-977f-da179c32b71c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d9b121c4-b52b-40e2-977f-da179c32b71c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-0535a015-e484-4b4f-af10-0a53d92ba075' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0535a015-e484-4b4f-af10-0a53d92ba075' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-387d0c94-4771-4e77-8b7b-8f903db77fdb' class='xr-var-data-in' type='checkbox'><label for='data-387d0c94-4771-4e77-8b7b-8f903db77fdb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-1929d9e4-bd09-418c-8bc1-3020aa758260' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1929d9e4-bd09-418c-8bc1-3020aa758260' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dacee179-ee3c-4b03-99ed-96bfe31277b0' class='xr-var-data-in' type='checkbox'><label for='data-dacee179-ee3c-4b03-99ed-96bfe31277b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-44414681-5a52-4ec7-94f6-734ba476c2fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44414681-5a52-4ec7-94f6-734ba476c2fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f66b0eed-86e8-45ea-a777-83f561b10d3a' class='xr-var-data-in' type='checkbox'><label for='data-f66b0eed-86e8-45ea-a777-83f561b10d3a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -3032,14 +3049,14 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-05-01 ... 2020-07-01</div><input id='attrs-1d8be026-d5c9-435c-81ce-bf2550d6d4d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d8be026-d5c9-435c-81ce-bf2550d6d4d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d25fb84-3c1a-46c1-a3d5-8bad50ed249b' class='xr-var-data-in' type='checkbox'><label for='data-9d25fb84-3c1a-46c1-a3d5-8bad50ed249b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-05-01T00:00:00.000000000&#x27;, &#x27;2019-06-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2019-05-01 ... 2020-07-01</div><input id='attrs-efe3a8da-25de-4e8a-ac9c-c38fc0d8522f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efe3a8da-25de-4e8a-ac9c-c38fc0d8522f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58f22d7f-1400-439f-9e7f-33c377f6b175' class='xr-var-data-in' type='checkbox'><label for='data-58f22d7f-1400-439f-9e7f-33c377f6b175' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2019-05-01T00:00:00.000000000&#x27;, &#x27;2019-06-01T00:00:00.000000000&#x27;,
        &#x27;2019-07-01T00:00:00.000000000&#x27;, &#x27;2019-08-01T00:00:00.000000000&#x27;,
        &#x27;2019-09-01T00:00:00.000000000&#x27;, &#x27;2019-10-01T00:00:00.000000000&#x27;,
        &#x27;2019-11-01T00:00:00.000000000&#x27;, &#x27;2019-12-01T00:00:00.000000000&#x27;,
        &#x27;2020-01-01T00:00:00.000000000&#x27;, &#x27;2020-02-01T00:00:00.000000000&#x27;,
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
-       &#x27;2020-07-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b3dbc705-dc5d-4237-b1c3-6b032dcd2aee' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3dbc705-dc5d-4237-b1c3-6b032dcd2aee' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-2e1d183a-6adb-4c79-8d6c-ff7f591cd714' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e1d183a-6adb-4c79-8d6c-ff7f591cd714' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9318bfa9-161d-403b-8c39-61f7f4880a44' class='xr-var-data-in' type='checkbox'><label for='data-9318bfa9-161d-403b-8c39-61f7f4880a44' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, ..., -1.8, -1.8],
+       &#x27;2020-07-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-256e050c-d5a6-4d2b-afd5-18bd3c140143' class='xr-section-summary-in' type='checkbox'  checked><label for='section-256e050c-d5a6-4d2b-afd5-18bd3c140143' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-083167c8-6953-4d6c-aa34-b99fcf24bdf9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-083167c8-6953-4d6c-aa34-b99fcf24bdf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15578b7b-43fc-43b8-95d1-87cfc110cf1e' class='xr-var-data-in' type='checkbox'><label for='data-15578b7b-43fc-43b8-95d1-87cfc110cf1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, ..., -1.8, -1.8],
         [-1.8, -1.8, ..., -1.8, -1.8],
         ...,
         [ nan,  nan, ...,  nan,  nan],
@@ -3063,7 +3080,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
         [-1.8, -1.8, ..., -1.8, -1.8],
         ...,
         [ nan,  nan, ...,  nan,  nan],
-        [ nan,  nan, ...,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-678921b3-9685-440e-81b3-3b16b51d9952' class='xr-section-summary-in' type='checkbox'  ><label for='section-678921b3-9685-440e-81b3-3b16b51d9952' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-fe7c0eb1-d79a-471f-b873-110e6e2a7940' class='xr-index-data-in' type='checkbox'/><label for='index-fe7c0eb1-d79a-471f-b873-110e6e2a7940' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+        [ nan,  nan, ...,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c9eb1674-d537-42dc-9082-11489857fa1f' class='xr-section-summary-in' type='checkbox'  ><label for='section-c9eb1674-d537-42dc-9082-11489857fa1f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b5754701-5212-4dc2-b610-06441785b283' class='xr-index-data-in' type='checkbox'/><label for='index-b5754701-5212-4dc2-b610-06441785b283' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -3072,14 +3089,14 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-52ae73b0-299e-496c-a65b-0e207f163587' class='xr-index-data-in' type='checkbox'/><label for='index-52ae73b0-299e-496c-a65b-0e207f163587' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1f501533-b337-44f1-b41d-d230998844e0' class='xr-index-data-in' type='checkbox'/><label for='index-1f501533-b337-44f1-b41d-d230998844e0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7066f744-251a-43cb-94d1-6d7391fae568' class='xr-index-data-in' type='checkbox'/><label for='index-7066f744-251a-43cb-94d1-6d7391fae568' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-05-01&#x27;, &#x27;2019-06-01&#x27;, &#x27;2019-07-01&#x27;, &#x27;2019-08-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bddf261a-65a0-4dd1-bac1-1b7c523e468b' class='xr-index-data-in' type='checkbox'/><label for='index-bddf261a-65a0-4dd1-bac1-1b7c523e468b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2019-05-01&#x27;, &#x27;2019-06-01&#x27;, &#x27;2019-07-01&#x27;, &#x27;2019-08-01&#x27;,
                &#x27;2019-09-01&#x27;, &#x27;2019-10-01&#x27;, &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;,
                &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;, &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;,
                &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;, &#x27;2020-07-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-49138e2a-cf37-4e24-a171-0bf306180803' class='xr-section-summary-in' type='checkbox'  ><label for='section-49138e2a-cf37-4e24-a171-0bf306180803' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bf0169d7-342a-4309-b1c9-3abce899a1b8' class='xr-section-summary-in' type='checkbox'  ><label for='section-bf0169d7-342a-4309-b1c9-3abce899a1b8' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <ul class="simple">
 <li><p><strong>Nearest Neighbor Lookups</strong></p></li>
@@ -3483,7 +3500,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
     dataset:       NOAA Extended Reconstructed SST V5
     parent_stat:   Individual Values
     actual_range:  [-1.8     42.32636]
-    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-40746bef-e5d8-4973-bffa-0ce2f5b267c7' class='xr-array-in' type='checkbox' checked><label for='section-40746bef-e5d8-4973-bffa-0ce2f5b267c7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
+    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c127dd4e-8d92-40ad-9fdd-4b80078ed7cb' class='xr-array-in' type='checkbox' checked><label for='section-c127dd4e-8d92-40ad-9fdd-4b80078ed7cb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
@@ -3492,7 +3509,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
-       nan, nan], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c40cb7c8-182a-4009-8ee1-6db80472e7ab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c40cb7c8-182a-4009-8ee1-6db80472e7ab' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>52.0</div><input id='attrs-8936229a-4b1b-4eec-87ce-3778873bd2a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8936229a-4b1b-4eec-87ce-3778873bd2a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a56abff-9a41-4f96-84a7-e5c3e628a9d6' class='xr-var-data-in' type='checkbox'><label for='data-0a56abff-9a41-4f96-84a7-e5c3e628a9d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(52., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.0</div><input id='attrs-bf17eec0-53e4-439a-bfd8-2311ffcf754b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf17eec0-53e4-439a-bfd8-2311ffcf754b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10db2490-2484-4170-97ea-f79a9eaa47cb' class='xr-var-data-in' type='checkbox'><label for='data-10db2490-2484-4170-97ea-f79a9eaa47cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(252., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-b51c236b-df6c-4593-a10d-cb726ea35bd5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b51c236b-df6c-4593-a10d-cb726ea35bd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-099f1546-0682-4640-8f26-0e30235244a2' class='xr-var-data-in' type='checkbox'><label for='data-099f1546-0682-4640-8f26-0e30235244a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+       nan, nan], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-edfa0442-28fa-4c22-892b-8cf6211c1a3c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-edfa0442-28fa-4c22-892b-8cf6211c1a3c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>52.0</div><input id='attrs-c49f507e-084a-4094-bb98-b40a2e0af9a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c49f507e-084a-4094-bb98-b40a2e0af9a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abdd98af-c228-457b-923e-7cf12062899f' class='xr-var-data-in' type='checkbox'><label for='data-abdd98af-c228-457b-923e-7cf12062899f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(52., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.0</div><input id='attrs-63606205-1b23-40e6-b89b-afda5fa87286' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63606205-1b23-40e6-b89b-afda5fa87286' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22a348bd-a9ac-4670-b2db-5733e554f708' class='xr-var-data-in' type='checkbox'><label for='data-22a348bd-a9ac-4670-b2db-5733e554f708' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(252., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-2e2c4fa5-5e15-4b70-b054-668750bcda85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e2c4fa5-5e15-4b70-b054-668750bcda85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0742ac1-d0b6-443e-8dd3-2ce52a8de139' class='xr-var-data-in' type='checkbox'><label for='data-d0742ac1-d0b6-443e-8dd3-2ce52a8de139' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -3556,14 +3573,14 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c5af0739-2514-499a-bfdb-0b1ca61fb463' class='xr-section-summary-in' type='checkbox'  ><label for='section-c5af0739-2514-499a-bfdb-0b1ca61fb463' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-83d70c64-9d0b-4eff-a274-08e2a81416f7' class='xr-index-data-in' type='checkbox'/><label for='index-83d70c64-9d0b-4eff-a274-08e2a81416f7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e1236f8-7230-4bd6-aa15-96648c6dd5ab' class='xr-section-summary-in' type='checkbox'  ><label for='section-0e1236f8-7230-4bd6-aa15-96648c6dd5ab' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a1779e71-d9c4-49e1-899a-654864e26a1b' class='xr-index-data-in' type='checkbox'/><label for='index-a1779e71-d9c4-49e1-899a-654864e26a1b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-18f784fe-17ba-44df-bbf9-25f6563eabc5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-18f784fe-17ba-44df-bbf9-25f6563eabc5' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dd9e0ee7-a6b2-4af9-9201-17732940e389' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dd9e0ee7-a6b2-4af9-9201-17732940e389' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 <ul class="simple">
@@ -3960,7 +3977,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a657cef3-6094-4b50-bfc1-30e18d3e0ee3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a657cef3-6094-4b50-bfc1-30e18d3e0ee3' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e8c5dd47-1e2f-40d8-bdb3-5f805c4b7808' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e8c5dd47-1e2f-40d8-bdb3-5f805c4b7808' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>52.0</div><input id='attrs-c6d966a1-5120-4252-ab67-0b6c00a0d3c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6d966a1-5120-4252-ab67-0b6c00a0d3c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61b77cd0-cf6b-4609-b891-563c51d873dd' class='xr-var-data-in' type='checkbox'><label for='data-61b77cd0-cf6b-4609-b891-563c51d873dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(52., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.0</div><input id='attrs-c8ddc583-206d-4d0a-8ad7-062f54651085' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8ddc583-206d-4d0a-8ad7-062f54651085' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8e20e586-4a65-48d9-8ba3-d7c71395578b' class='xr-var-data-in' type='checkbox'><label for='data-8e20e586-4a65-48d9-8ba3-d7c71395578b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(252., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-9f933735-da26-4ae7-afd7-d933245e8493' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f933735-da26-4ae7-afd7-d933245e8493' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aba6bc33-bb3c-4943-9bb1-85c7d2dfcd5b' class='xr-var-data-in' type='checkbox'><label for='data-aba6bc33-bb3c-4943-9bb1-85c7d2dfcd5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-41ea64d0-826e-4298-a433-b68c8f81da85' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-41ea64d0-826e-4298-a433-b68c8f81da85' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8751cc45-9301-4898-a39b-27042fa936d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8751cc45-9301-4898-a39b-27042fa936d5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>52.0</div><input id='attrs-8f4ddefe-c3c8-4f61-a65e-e07881d78419' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8f4ddefe-c3c8-4f61-a65e-e07881d78419' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f83ed12-88f5-4385-9c19-bd7e4c4a1b51' class='xr-var-data-in' type='checkbox'><label for='data-5f83ed12-88f5-4385-9c19-bd7e4c4a1b51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(52., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>252.0</div><input id='attrs-c38909f4-ae94-42c7-b169-42b9f65d8600' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c38909f4-ae94-42c7-b169-42b9f65d8600' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8ce8487-cb9b-406c-9889-7d24506c2c36' class='xr-var-data-in' type='checkbox'><label for='data-c8ce8487-cb9b-406c-9889-7d24506c2c36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array(252., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-60307b53-403a-4e73-8bd7-548e1a76d64a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60307b53-403a-4e73-8bd7-548e1a76d64a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e4f7704-60af-48bf-9154-3f88a1cade51' class='xr-var-data-in' type='checkbox'><label for='data-9e4f7704-60af-48bf-9154-3f88a1cade51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -4024,7 +4041,7 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de7537a2-b8ac-4efa-8984-4e5be8e59628' class='xr-section-summary-in' type='checkbox'  checked><label for='section-de7537a2-b8ac-4efa-8984-4e5be8e59628' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-6be9dcef-faff-40ae-99cd-47354e83857e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6be9dcef-faff-40ae-99cd-47354e83857e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f38a4535-8bed-4efb-84d2-06a72dc18afd' class='xr-var-data-in' type='checkbox'><label for='data-f38a4535-8bed-4efb-84d2-06a72dc18afd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7fd26e57-7bd6-4766-a3ea-a44315d31f25' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7fd26e57-7bd6-4766-a3ea-a44315d31f25' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-6d22c2c1-7d44-48bb-b428-23b89c26eebe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d22c2c1-7d44-48bb-b428-23b89c26eebe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77c8729e-4cb4-49c4-9fb8-87c6639c99c1' class='xr-var-data-in' type='checkbox'><label for='data-77c8729e-4cb4-49c4-9fb8-87c6639c99c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
@@ -4033,18 +4050,18 @@ <h2>Indexing with xarray<a class="headerlink" href="#indexing-with-xarray" title
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
        nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,
-       nan, nan], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2149b114-e622-4845-a13a-4a9b3ba7c4dd' class='xr-section-summary-in' type='checkbox'  ><label for='section-2149b114-e622-4845-a13a-4a9b3ba7c4dd' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e32b4bd3-4b94-4c95-a538-c7b703d294fb' class='xr-index-data-in' type='checkbox'/><label for='index-e32b4bd3-4b94-4c95-a538-c7b703d294fb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+       nan, nan], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-037c814b-469f-41a5-b3ac-7abdb7586659' class='xr-section-summary-in' type='checkbox'  ><label for='section-037c814b-469f-41a5-b3ac-7abdb7586659' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8c1bb4ba-f120-4b87-aa13-18ee225b3b46' class='xr-index-data-in' type='checkbox'/><label for='index-8c1bb4ba-f120-4b87-aa13-18ee225b3b46' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5fd093ce-1ca3-4261-8270-5707edc52745' class='xr-section-summary-in' type='checkbox'  ><label for='section-5fd093ce-1ca3-4261-8270-5707edc52745' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1ca0db04-f2a2-40f2-9b93-c4f0a0ce53a5' class='xr-section-summary-in' type='checkbox'  ><label for='section-1ca0db04-f2a2-40f2-9b93-c4f0a0ce53a5' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="vectorized-indexing">
-<h2>Vectorized Indexing<a class="headerlink" href="#vectorized-indexing" title="Permalink to this headline">#</a></h2>
+<h2>Vectorized Indexing<a class="headerlink" href="#vectorized-indexing" title="Permalink to this heading">#</a></h2>
 <p>Like numpy and pandas, xarray supports indexing many array elements at once in a
 vectorized manner:</p>
 <div class="cell docutils container">
@@ -4422,7 +4439,7 @@ <h2>Vectorized Indexing<a class="headerlink" href="#vectorized-indexing" title="
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (points: 3)&gt;
 array([60, 80, 90])
-Dimensions without coordinates: points</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>points</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dca69eaa-46e1-4b48-8277-b1eef7a40525' class='xr-array-in' type='checkbox' checked><label for='section-dca69eaa-46e1-4b48-8277-b1eef7a40525' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>60 80 90</span></div><div class='xr-array-data'><pre>array([60, 80, 90])</pre></div></div></li><li class='xr-section-item'><input id='section-c0f7d1e0-dcd8-4faf-a78f-a60f2ab9b7a1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c0f7d1e0-dcd8-4faf-a78f-a60f2ab9b7a1' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-10a741e7-c58d-433b-a104-38a70cd0debe' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-10a741e7-c58d-433b-a104-38a70cd0debe' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0343a4ef-7b83-4d9e-9c59-71c7b0c2886e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0343a4ef-7b83-4d9e-9c59-71c7b0c2886e' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: points</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>points</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3ba5e09c-fac0-4105-a757-a8ab33b1eff4' class='xr-array-in' type='checkbox' checked><label for='section-3ba5e09c-fac0-4105-a757-a8ab33b1eff4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>60 80 90</span></div><div class='xr-array-data'><pre>array([60, 80, 90])</pre></div></div></li><li class='xr-section-item'><input id='section-830fa333-2f6f-4cde-a2b3-6bdfd4d41f32' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-830fa333-2f6f-4cde-a2b3-6bdfd4d41f32' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-581cb82c-ca1a-4c3b-ab1b-66426395b8bc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-581cb82c-ca1a-4c3b-ab1b-66426395b8bc' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6a7d654f-896b-45d5-8002-6f0d109374e4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6a7d654f-896b-45d5-8002-6f0d109374e4' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -4796,7 +4813,7 @@ <h2>Vectorized Indexing<a class="headerlink" href="#vectorized-indexing" title="
 }
 </style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (points: 3)&gt;
 array([250, 250, 250])
-Dimensions without coordinates: points</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>points</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a8c87017-1ee9-4039-86f1-16f5cf9b1309' class='xr-array-in' type='checkbox' checked><label for='section-a8c87017-1ee9-4039-86f1-16f5cf9b1309' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>250 250 250</span></div><div class='xr-array-data'><pre>array([250, 250, 250])</pre></div></div></li><li class='xr-section-item'><input id='section-5321cf9f-602e-466b-ada4-8405fb0d267a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5321cf9f-602e-466b-ada4-8405fb0d267a' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-0eee1613-569c-48ec-bbd4-ef4d56dce3b3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0eee1613-569c-48ec-bbd4-ef4d56dce3b3' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-b59bc4cd-ea46-43b3-910c-70baf7dbdc51' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b59bc4cd-ea46-43b3-910c-70baf7dbdc51' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+Dimensions without coordinates: points</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span>points</span>: 3</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-71d187ec-aea3-44c4-bf91-f7862297c5a0' class='xr-array-in' type='checkbox' checked><label for='section-71d187ec-aea3-44c4-bf91-f7862297c5a0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>250 250 250</span></div><div class='xr-array-data'><pre>array([250, 250, 250])</pre></div></div></li><li class='xr-section-item'><input id='section-e1092e86-3495-42b8-8a06-d22d0dc8ab02' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e1092e86-3495-42b8-8a06-d22d0dc8ab02' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d5811f57-2bcf-43d4-8679-049f34869418' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d5811f57-2bcf-43d4-8679-049f34869418' class='xr-section-summary'  title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-9b38ecfe-241d-4da7-97b9-92a865cbcdc3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9b38ecfe-241d-4da7-97b9-92a865cbcdc3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -4806,12 +4823,12 @@ <h2>Vectorized Indexing<a class="headerlink" href="#vectorized-indexing" title="
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/71beeae9cc5a462844a901fd8a09a79a60c308d6e237cbd6a553a180ef22600d.png" src="../../_images/71beeae9cc5a462844a901fd8a09a79a60c308d6e237cbd6a553a180ef22600d.png" />
+<img alt="../../_images/874e085e709100b7209cdc6f79d644dc0cde3eb1af1027891f302eee4173682a.png" src="../../_images/874e085e709100b7209cdc6f79d644dc0cde3eb1af1027891f302eee4173682a.png" />
 </div>
 </div>
 </section>
 <section id="indexing-with-where">
-<h2>Indexing with <code class="docutils literal notranslate"><span class="pre">where()</span></code><a class="headerlink" href="#indexing-with-where" title="Permalink to this headline">#</a></h2>
+<h2>Indexing with <code class="docutils literal notranslate"><span class="pre">where()</span></code><a class="headerlink" href="#indexing-with-where" title="Permalink to this heading">#</a></h2>
 <div class="cell tag_hide-output docutils container">
 <div class="cell_input above-output-prompt docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Let&#39;s replace the missing values (nan) with some placeholder</span>
@@ -5243,7 +5260,7 @@ <h2>Indexing with <code class="docutils literal notranslate"><span class="pre">w
     dataset:       NOAA Extended Reconstructed SST V5
     parent_stat:   Individual Values
     actual_range:  [-1.8     42.32636]
-    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5ec99573-8301-40a7-9eb4-b2a6e5312939' class='xr-array-in' type='checkbox' checked><label for='section-5ec99573-8301-40a7-9eb4-b2a6e5312939' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.8 -1.8 -1.8 -1.8 -1.8 -1.8 ... -99.0 -99.0 -99.0 -99.0 -99.0 -99.0</span></div><div class='xr-array-data'><pre>array([[[ -1.8,  -1.8,  -1.8, ...,  -1.8,  -1.8,  -1.8],
+    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9a561918-e682-4b9c-be7f-3d44505ca19f' class='xr-array-in' type='checkbox' checked><label for='section-9a561918-e682-4b9c-be7f-3d44505ca19f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.8 -1.8 -1.8 -1.8 -1.8 -1.8 ... -99.0 -99.0 -99.0 -99.0 -99.0 -99.0</span></div><div class='xr-array-data'><pre>array([[[ -1.8,  -1.8,  -1.8, ...,  -1.8,  -1.8,  -1.8],
         [ -1.8,  -1.8,  -1.8, ...,  -1.8,  -1.8,  -1.8],
         [ -1.8,  -1.8,  -1.8, ...,  -1.8,  -1.8,  -1.8],
         ...,
@@ -5283,14 +5300,14 @@ <h2>Indexing with <code class="docutils literal notranslate"><span class="pre">w
         ...,
         [-99. , -99. , -99. , ..., -99. , -99. , -99. ],
         [-99. , -99. , -99. , ..., -99. , -99. , -99. ],
-        [-99. , -99. , -99. , ..., -99. , -99. , -99. ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-15c85d8e-c661-4aba-a1cb-3d47281d7ed5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-15c85d8e-c661-4aba-a1cb-3d47281d7ed5' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-a08d6c9c-b6bc-47e0-b16f-e3759090d1d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a08d6c9c-b6bc-47e0-b16f-e3759090d1d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88f3367a-5862-431f-a7ba-147e954dfb16' class='xr-var-data-in' type='checkbox'><label for='data-88f3367a-5862-431f-a7ba-147e954dfb16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+        [-99. , -99. , -99. , ..., -99. , -99. , -99. ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b8ba330f-aff0-4bfd-9e43-13f961339eec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b8ba330f-aff0-4bfd-9e43-13f961339eec' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-34e8a401-d24d-4872-adad-357c9775be8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34e8a401-d24d-4872-adad-357c9775be8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09cc256b-c42f-419d-9ed2-d212d4dec6ad' class='xr-var-data-in' type='checkbox'><label for='data-09cc256b-c42f-419d-9ed2-d212d4dec6ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-813c7f81-7305-44c3-80fe-2b06a48225e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-813c7f81-7305-44c3-80fe-2b06a48225e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e6d7297e-38e6-4cdf-8715-b0611c935f72' class='xr-var-data-in' type='checkbox'><label for='data-e6d7297e-38e6-4cdf-8715-b0611c935f72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-2f570302-9e19-4015-8b38-d0461ef3755b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f570302-9e19-4015-8b38-d0461ef3755b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a15f6002-a85e-430b-98bb-6f8d963d7ced' class='xr-var-data-in' type='checkbox'><label for='data-a15f6002-a85e-430b-98bb-6f8d963d7ced' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -5305,7 +5322,7 @@ <h2>Indexing with <code class="docutils literal notranslate"><span class="pre">w
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-3e3f6af1-5056-440d-ba17-c899ae1f5b25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e3f6af1-5056-440d-ba17-c899ae1f5b25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5ff31d2-c6a9-4da4-a4c5-ebda087a391c' class='xr-var-data-in' type='checkbox'><label for='data-b5ff31d2-c6a9-4da4-a4c5-ebda087a391c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-faf04f69-bf3c-47da-b2bc-a75e88050a74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-faf04f69-bf3c-47da-b2bc-a75e88050a74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a7205fc-a831-4c7d-89ab-560fdfdd1928' class='xr-var-data-in' type='checkbox'><label for='data-5a7205fc-a831-4c7d-89ab-560fdfdd1928' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -5369,7 +5386,7 @@ <h2>Indexing with <code class="docutils literal notranslate"><span class="pre">w
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f7593a30-4e74-4362-9615-106ce5f95798' class='xr-section-summary-in' type='checkbox'  ><label for='section-f7593a30-4e74-4362-9615-106ce5f95798' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c6bc5bb5-11db-4059-abf8-441527c41e58' class='xr-index-data-in' type='checkbox'/><label for='index-c6bc5bb5-11db-4059-abf8-441527c41e58' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-960b6acf-4458-42d0-b73c-cf9602999719' class='xr-section-summary-in' type='checkbox'  ><label for='section-960b6acf-4458-42d0-b73c-cf9602999719' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b1ae44e7-41d8-40a2-9dad-1fca6d2ace78' class='xr-index-data-in' type='checkbox'/><label for='index-b1ae44e7-41d8-40a2-9dad-1fca6d2ace78' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -5378,22 +5395,22 @@ <h2>Indexing with <code class="docutils literal notranslate"><span class="pre">w
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-75bd70e5-a9b1-4278-9f61-b7cae1f0e9f9' class='xr-index-data-in' type='checkbox'/><label for='index-75bd70e5-a9b1-4278-9f61-b7cae1f0e9f9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-309ca137-2723-4f37-9049-224c8eb3d639' class='xr-index-data-in' type='checkbox'/><label for='index-309ca137-2723-4f37-9049-224c8eb3d639' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-56828aa3-d804-4c14-8ab9-1f2e032afd70' class='xr-index-data-in' type='checkbox'/><label for='index-56828aa3-d804-4c14-8ab9-1f2e032afd70' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8ff5dde7-954a-4deb-ac7e-52437ef8176a' class='xr-index-data-in' type='checkbox'/><label for='index-8ff5dde7-954a-4deb-ac7e-52437ef8176a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
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+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0d130b6f-ea34-45ea-bcee-cb785d29066c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d130b6f-ea34-45ea-bcee-cb785d29066c' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
 </details>
 </div>
 </section>
 <section id="going-further">
-<h2>Going Further<a class="headerlink" href="#going-further" title="Permalink to this headline">#</a></h2>
+<h2>Going Further<a class="headerlink" href="#going-further" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p><a class="reference external" href="https://docs.xarray.dev/en/stable/indexing.html">Xarray Docs - Indexing and Selecting Data</a></p></li>
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@@ -522,12 +539,12 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="computation">
-<h1>Computation<a class="headerlink" href="#computation" title="Permalink to this headline">#</a></h1>
+<h1>Computation<a class="headerlink" href="#computation" title="Permalink to this heading">#</a></h1>
 <section id="learning-objectives">
-<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this headline">#</a></h2>
+<h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="Permalink to this heading">#</a></h2>
 <ul class="simple">
 <li><p>Do basic arithmetic with DataArrays and Datasets</p></li>
 <li><p>Perform aggregation (reduction) along one or multiple dimensions of a
@@ -535,7 +552,7 @@ <h2>Learning Objectives<a class="headerlink" href="#learning-objectives" title="
 </ul>
 </section>
 <section id="arithmetic-operations">
-<h2>Arithmetic Operations<a class="headerlink" href="#arithmetic-operations" title="Permalink to this headline">#</a></h2>
+<h2>Arithmetic Operations<a class="headerlink" href="#arithmetic-operations" title="Permalink to this heading">#</a></h2>
 <p>Arithmetic operations with a single DataArray automatically vectorize (like
 numpy) over all array values:</p>
 <div class="cell docutils container">
@@ -932,14 +949,14 @@ <h2>Arithmetic Operations<a class="headerlink" href="#arithmetic-operations" tit
     dataset:       NOAA Extended Reconstructed SST V5
     parent_stat:   Individual Values
     actual_range:  [-1.8     42.32636]
-    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8167413a-40b1-4d22-ad12-475a6428c4d7' class='xr-array-in' type='checkbox' checked><label for='section-8167413a-40b1-4d22-ad12-475a6428c4d7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[2050560 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-2e55947d-171c-4fa7-8f95-44c9b4cf1220' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2e55947d-171c-4fa7-8f95-44c9b4cf1220' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-4e0d2c24-fc6d-4a75-bad4-d08a3022b6d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e0d2c24-fc6d-4a75-bad4-d08a3022b6d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-875ebd5c-b94a-4d0d-91ea-fac65e03f31e' class='xr-var-data-in' type='checkbox'><label for='data-875ebd5c-b94a-4d0d-91ea-fac65e03f31e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9c590acf-174a-42f9-80ac-4538b18d6011' class='xr-array-in' type='checkbox' checked><label for='section-9c590acf-174a-42f9-80ac-4538b18d6011' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[2050560 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-1d9a6f29-4031-472e-865a-d8eb97e59828' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1d9a6f29-4031-472e-865a-d8eb97e59828' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-32cdf256-6eee-4bc5-8efe-98f4b51a7566' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32cdf256-6eee-4bc5-8efe-98f4b51a7566' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9cf8f1f2-4b2b-419a-8e15-e39034496bbe' class='xr-var-data-in' type='checkbox'><label for='data-9cf8f1f2-4b2b-419a-8e15-e39034496bbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-39bbf48b-318d-4647-b293-129218fbbe61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39bbf48b-318d-4647-b293-129218fbbe61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6eda9b8e-2cb8-4af0-aa45-bc780d8013c6' class='xr-var-data-in' type='checkbox'><label for='data-6eda9b8e-2cb8-4af0-aa45-bc780d8013c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-87fd519d-4726-4158-a2d1-8c7349f1b2e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87fd519d-4726-4158-a2d1-8c7349f1b2e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97753b7b-45df-4297-a6d6-228bd8e33146' class='xr-var-data-in' type='checkbox'><label for='data-97753b7b-45df-4297-a6d6-228bd8e33146' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -954,7 +971,7 @@ <h2>Arithmetic Operations<a class="headerlink" href="#arithmetic-operations" tit
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-1aa4639f-bbbf-4bea-8f22-e42ff36a69ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1aa4639f-bbbf-4bea-8f22-e42ff36a69ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-068d7edd-b9f5-4f9d-af9c-3f698935cbab' class='xr-var-data-in' type='checkbox'><label for='data-068d7edd-b9f5-4f9d-af9c-3f698935cbab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-85042ef3-5b7c-4163-b074-77340f866b20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85042ef3-5b7c-4163-b074-77340f866b20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-507fdc1a-898b-4dc8-9671-5d615b027795' class='xr-var-data-in' type='checkbox'><label for='data-507fdc1a-898b-4dc8-9671-5d615b027795' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -1018,7 +1035,7 @@ <h2>Arithmetic Operations<a class="headerlink" href="#arithmetic-operations" tit
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-05c190fd-3877-4e76-8c38-e26112653abe' class='xr-section-summary-in' type='checkbox'  ><label for='section-05c190fd-3877-4e76-8c38-e26112653abe' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2aa01e69-4eb1-49f9-bccb-e936e40144bb' class='xr-index-data-in' type='checkbox'/><label for='index-2aa01e69-4eb1-49f9-bccb-e936e40144bb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e880b8e1-1343-43ee-854b-e2b7761ee058' class='xr-section-summary-in' type='checkbox'  ><label for='section-e880b8e1-1343-43ee-854b-e2b7761ee058' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e2917aed-47fe-4ec7-8e8a-90939a06a57e' class='xr-index-data-in' type='checkbox'/><label for='index-e2917aed-47fe-4ec7-8e8a-90939a06a57e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1027,17 +1044,17 @@ <h2>Arithmetic Operations<a class="headerlink" href="#arithmetic-operations" tit
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4823b5b6-4e52-49f1-884c-e7b85e68b915' class='xr-index-data-in' type='checkbox'/><label for='index-4823b5b6-4e52-49f1-884c-e7b85e68b915' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-70b03d39-7795-4bd6-bde7-f03b9eafb0b6' class='xr-index-data-in' type='checkbox'/><label for='index-70b03d39-7795-4bd6-bde7-f03b9eafb0b6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-73af93d4-9eb9-47f6-a85f-84b148beda30' class='xr-index-data-in' type='checkbox'/><label for='index-73af93d4-9eb9-47f6-a85f-84b148beda30' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-de013ff3-9a5e-4458-97a3-1700ca0effc6' class='xr-index-data-in' type='checkbox'/><label for='index-de013ff3-9a5e-4458-97a3-1700ca0effc6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e7e1b66f-46ab-459d-b35c-68348c1f485c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e7e1b66f-46ab-459d-b35c-68348c1f485c' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bebe4a61-8311-4992-a271-51bdb178017f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bebe4a61-8311-4992-a271-51bdb178017f' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -1454,7 +1471,7 @@ <h2>Arithmetic Operations<a class="headerlink" href="#arithmetic-operations" tit
 Coordinates:
   * lat      (lat) float32 88.0 86.0 84.0 82.0 80.0 ... -82.0 -84.0 -86.0 -88.0
   * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0
-  * time     (time) datetime64[ns] 2010-01-01 2010-02-01 ... 2020-08-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f16308a0-6bb6-425a-ae2c-c3dff1d24bc2' class='xr-array-in' type='checkbox' checked><label for='section-f16308a0-6bb6-425a-ae2c-c3dff1d24bc2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>271.4 271.4 271.4 271.4 271.4 271.4 271.4 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[271.35, 271.35, 271.35, ..., 271.35, 271.35, 271.35],
+  * time     (time) datetime64[ns] 2010-01-01 2010-02-01 ... 2020-08-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ea28c578-07e8-44c3-af45-789381749307' class='xr-array-in' type='checkbox' checked><label for='section-ea28c578-07e8-44c3-af45-789381749307' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>271.4 271.4 271.4 271.4 271.4 271.4 271.4 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[271.35, 271.35, 271.35, ..., 271.35, 271.35, 271.35],
         [271.35, 271.35, 271.35, ..., 271.35, 271.35, 271.35],
         [271.35, 271.35, 271.35, ..., 271.35, 271.35, 271.35],
         ...,
@@ -1494,14 +1511,14 @@ <h2>Arithmetic Operations<a class="headerlink" href="#arithmetic-operations" tit
         [   nan,    nan,    nan, ...,    nan,    nan,    nan],
         [   nan,    nan,    nan, ...,    nan,    nan,    nan],
         [   nan,    nan,    nan, ...,    nan,    nan,    nan]]],
-      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-ed3b6144-f87c-4c9c-9b63-945fc5fb86eb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ed3b6144-f87c-4c9c-9b63-945fc5fb86eb' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-723bd0ef-4ee8-4d79-963f-5b00599a8d71' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-723bd0ef-4ee8-4d79-963f-5b00599a8d71' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d435485d-7a16-4424-b395-99afc76eb739' class='xr-var-data-in' type='checkbox'><label for='data-d435485d-7a16-4424-b395-99afc76eb739' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-672d282b-04cc-426b-85bf-8f69f4201df1' class='xr-section-summary-in' type='checkbox'  checked><label for='section-672d282b-04cc-426b-85bf-8f69f4201df1' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-8e986ed5-eb05-46f3-9008-4fd9911d9df5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e986ed5-eb05-46f3-9008-4fd9911d9df5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fed999e-8237-4f1d-b097-c93c810f3842' class='xr-var-data-in' type='checkbox'><label for='data-8fed999e-8237-4f1d-b097-c93c810f3842' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-94dea26c-6f7e-4c92-9fb9-27167eceb762' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94dea26c-6f7e-4c92-9fb9-27167eceb762' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-120ee605-6c22-4790-a9be-8489088be092' class='xr-var-data-in' type='checkbox'><label for='data-120ee605-6c22-4790-a9be-8489088be092' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-627ec0c4-b598-4947-9913-ceceaffc9974' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-627ec0c4-b598-4947-9913-ceceaffc9974' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-88a55424-d290-4172-b5dd-8ad352618125' class='xr-var-data-in' type='checkbox'><label for='data-88a55424-d290-4172-b5dd-8ad352618125' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -1516,7 +1533,7 @@ <h2>Arithmetic Operations<a class="headerlink" href="#arithmetic-operations" tit
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-610ed44c-06a5-4c6c-97de-d2697d17c37b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-610ed44c-06a5-4c6c-97de-d2697d17c37b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3e91a9f-9563-41ee-91b2-a269f92c170c' class='xr-var-data-in' type='checkbox'><label for='data-d3e91a9f-9563-41ee-91b2-a269f92c170c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-5cd9bd34-35a9-481e-bc03-9acaccbff999' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cd9bd34-35a9-481e-bc03-9acaccbff999' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5581045c-7b07-4be9-9e9b-8b0e5682d799' class='xr-var-data-in' type='checkbox'><label for='data-5581045c-7b07-4be9-9e9b-8b0e5682d799' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -1580,7 +1597,7 @@ <h2>Arithmetic Operations<a class="headerlink" href="#arithmetic-operations" tit
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c7e1cc0d-26bd-4f0b-ada8-59fe129a896c' class='xr-section-summary-in' type='checkbox'  ><label for='section-c7e1cc0d-26bd-4f0b-ada8-59fe129a896c' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-74b5a975-4778-41e6-9a74-ffd1a4297cb1' class='xr-index-data-in' type='checkbox'/><label for='index-74b5a975-4778-41e6-9a74-ffd1a4297cb1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-71638e3e-ce78-4d22-b21c-a1fd9bbf8a1f' class='xr-section-summary-in' type='checkbox'  ><label for='section-71638e3e-ce78-4d22-b21c-a1fd9bbf8a1f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c13632d5-b197-4991-ba96-2c7358263517' class='xr-index-data-in' type='checkbox'/><label for='index-c13632d5-b197-4991-ba96-2c7358263517' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -1589,21 +1606,21 @@ <h2>Arithmetic Operations<a class="headerlink" href="#arithmetic-operations" tit
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c94a24e7-df99-4f52-b820-945dce3e1299' class='xr-index-data-in' type='checkbox'/><label for='index-c94a24e7-df99-4f52-b820-945dce3e1299' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-89b0af7f-ce36-47a8-b9cb-67e40ea9bddd' class='xr-index-data-in' type='checkbox'/><label for='index-89b0af7f-ce36-47a8-b9cb-67e40ea9bddd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-82434921-16f6-4b92-b2d4-9be130844900' class='xr-index-data-in' type='checkbox'/><label for='index-82434921-16f6-4b92-b2d4-9be130844900' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-097fff89-1004-499b-baf0-fcee05ca1570' class='xr-index-data-in' type='checkbox'/><label for='index-097fff89-1004-499b-baf0-fcee05ca1570' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-35af6bc8-7f00-4300-9219-1660f740e1e9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-35af6bc8-7f00-4300-9219-1660f740e1e9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2ff243d8-5856-412e-8a9d-2f977b40e97a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2ff243d8-5856-412e-8a9d-2f977b40e97a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="aggregation-reduction-methods">
-<h2>Aggregation (Reduction) Methods<a class="headerlink" href="#aggregation-reduction-methods" title="Permalink to this headline">#</a></h2>
+<h2>Aggregation (Reduction) Methods<a class="headerlink" href="#aggregation-reduction-methods" title="Permalink to this heading">#</a></h2>
 <p>Xarray supports many of the aggregations methods that numpy has. A partial list
 includes: all, any, argmax, argmin, max, mean, median, min, prod, sum, std, var.</p>
 <p>Whereas the numpy syntax would require scalar axes, xarray can use dimension
@@ -1995,7 +2012,7 @@ <h2>Aggregation (Reduction) Methods<a class="headerlink" href="#aggregation-redu
                nan]], dtype=float32)
 Coordinates:
   * lat      (lat) float32 88.0 86.0 84.0 82.0 80.0 ... -82.0 -84.0 -86.0 -88.0
-  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-3db7d864-2648-4d36-8e33-2caeaef09314' class='xr-array-in' type='checkbox' checked><label for='section-3db7d864-2648-4d36-8e33-2caeaef09314' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.797 -1.797 -1.797 -1.797 -1.797 -1.798 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[-1.7965822, -1.7966435, -1.7966874, ..., -1.7976037, -1.796984 ,
+  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-833902c7-7ffa-41b7-80c1-d1839e393b8a' class='xr-array-in' type='checkbox' checked><label for='section-833902c7-7ffa-41b7-80c1-d1839e393b8a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.797 -1.797 -1.797 -1.797 -1.797 -1.798 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[-1.7965822, -1.7966435, -1.7966874, ..., -1.7976037, -1.796984 ,
         -1.7965525],
        [-1.7968166, -1.7963768, -1.796082 , ..., -1.7992076, -1.7980535,
         -1.7973973],
@@ -2007,14 +2024,14 @@ <h2>Aggregation (Reduction) Methods<a class="headerlink" href="#aggregation-redu
        [       nan,        nan,        nan, ...,        nan,        nan,
                nan],
        [       nan,        nan,        nan, ...,        nan,        nan,
-               nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-28712b5b-8693-4578-bef9-fd7d697e5b02' class='xr-section-summary-in' type='checkbox'  checked><label for='section-28712b5b-8693-4578-bef9-fd7d697e5b02' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-cd31c05e-ddab-418f-8622-092657771478' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd31c05e-ddab-418f-8622-092657771478' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edede0c6-8373-4091-9f11-0d1940b77256' class='xr-var-data-in' type='checkbox'><label for='data-edede0c6-8373-4091-9f11-0d1940b77256' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+               nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-ae69761c-cc25-45f3-952c-953cef0f41e0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ae69761c-cc25-45f3-952c-953cef0f41e0' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-1ef8ca47-fad0-4f4a-9791-e4e12cdc65d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ef8ca47-fad0-4f4a-9791-e4e12cdc65d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31a6a170-9b86-4def-bb9a-fdde1b13e6fa' class='xr-var-data-in' type='checkbox'><label for='data-31a6a170-9b86-4def-bb9a-fdde1b13e6fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-68a01a2a-72cb-4e0b-885c-09862f1180ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68a01a2a-72cb-4e0b-885c-09862f1180ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5549f86-3def-4fd9-86a5-cef9525c0dbb' class='xr-var-data-in' type='checkbox'><label for='data-d5549f86-3def-4fd9-86a5-cef9525c0dbb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-c9970ad3-c2fd-4e02-b495-a1067ff70d53' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9970ad3-c2fd-4e02-b495-a1067ff70d53' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-893df0b5-4eef-47bb-8e07-9af1f2f66f5c' class='xr-var-data-in' type='checkbox'><label for='data-893df0b5-4eef-47bb-8e07-9af1f2f66f5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -2029,7 +2046,7 @@ <h2>Aggregation (Reduction) Methods<a class="headerlink" href="#aggregation-redu
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2796aaeb-38b6-4efd-aa65-3c56fab56565' class='xr-section-summary-in' type='checkbox'  ><label for='section-2796aaeb-38b6-4efd-aa65-3c56fab56565' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-c9448eea-4a6a-484b-bbc2-6cb601011774' class='xr-index-data-in' type='checkbox'/><label for='index-c9448eea-4a6a-484b-bbc2-6cb601011774' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ffdd861b-3e1d-452f-a75f-b816dc72a3f4' class='xr-section-summary-in' type='checkbox'  ><label for='section-ffdd861b-3e1d-452f-a75f-b816dc72a3f4' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7ad15807-1c82-43aa-afbb-b05e7a8d7248' class='xr-index-data-in' type='checkbox'/><label for='index-7ad15807-1c82-43aa-afbb-b05e7a8d7248' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -2038,10 +2055,10 @@ <h2>Aggregation (Reduction) Methods<a class="headerlink" href="#aggregation-redu
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d2076234-a770-4d26-8a32-9c194c063958' class='xr-index-data-in' type='checkbox'/><label for='index-d2076234-a770-4d26-8a32-9c194c063958' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0ecd2543-7700-41d8-976e-21403670d34a' class='xr-index-data-in' type='checkbox'/><label for='index-0ecd2543-7700-41d8-976e-21403670d34a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3de651e9-67d4-4d02-b746-d2be3c7567db' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3de651e9-67d4-4d02-b746-d2be3c7567db' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f5c98164-c089-4a26-908e-c6fd6cf23457' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f5c98164-c089-4a26-908e-c6fd6cf23457' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -2050,15 +2067,15 @@ <h2>Aggregation (Reduction) Methods<a class="headerlink" href="#aggregation-redu
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f45f5d529d0&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7fe6fd363210&gt;]
 </pre></div>
 </div>
-<img alt="../../_images/9eb6977994da05ad6ad79aed1c474ee19f2112f1c725b82493b17faf2c9d8192.png" src="../../_images/9eb6977994da05ad6ad79aed1c474ee19f2112f1c725b82493b17faf2c9d8192.png" />
+<img alt="../../_images/43bf61f89e12c9221bc902adf3403d321b881a016b16a2d8b91e5a97305136e4.png" src="../../_images/43bf61f89e12c9221bc902adf3403d321b881a016b16a2d8b91e5a97305136e4.png" />
 </div>
 </div>
 </section>
 <section id="broadcasting">
-<h2>Broadcasting:<a class="headerlink" href="#broadcasting" title="Permalink to this headline">#</a></h2>
+<h2>Broadcasting:<a class="headerlink" href="#broadcasting" title="Permalink to this heading">#</a></h2>
 <p><strong>Broadcasting</strong> allows an operator or a function to act on two or more arrays
 to operate even if these arrays do not have the same shape. That said, not all
 the dimensions can be subjected to broadcasting; they must meet certain rules.
@@ -2508,7 +2525,7 @@ <h2>Broadcasting:<a class="headerlink" href="#broadcasting" title="Permalink to
 Coordinates:
   * lat      (lat) float32 88.0 86.0 84.0 82.0 80.0 ... -82.0 -84.0 -86.0 -88.0
   * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 ... 350.0 352.0 354.0 356.0 358.0
-  * time     (time) datetime64[ns] 2010-01-01 2010-02-01 ... 2020-08-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4485d13d-7ce7-4f9e-b5cf-062762ca1cf3' class='xr-array-in' type='checkbox' checked><label for='section-4485d13d-7ce7-4f9e-b5cf-062762ca1cf3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.003418 -0.003356 -0.003313 -0.003127 -0.002783 ... nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[-3.4177303e-03, -3.3564568e-03, -3.3125877e-03, ...,
+  * time     (time) datetime64[ns] 2010-01-01 2010-02-01 ... 2020-08-01</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5d8d6b6f-ab10-4978-8404-5ae1074a13a5' class='xr-array-in' type='checkbox' checked><label for='section-5d8d6b6f-ab10-4978-8404-5ae1074a13a5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.003418 -0.003356 -0.003313 -0.003127 -0.002783 ... nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[-3.4177303e-03, -3.3564568e-03, -3.3125877e-03, ...,
          -2.3962259e-03, -3.0159950e-03, -3.4474134e-03],
         [-3.1833649e-03, -3.6231279e-03, -3.9179325e-03, ...,
          -7.9238415e-04, -1.9464493e-03, -2.6026964e-03],
@@ -2548,14 +2565,14 @@ <h2>Broadcasting:<a class="headerlink" href="#broadcasting" title="Permalink to
         [           nan,            nan,            nan, ...,
                     nan,            nan,            nan],
         [           nan,            nan,            nan, ...,
-                    nan,            nan,            nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-bda5378d-7362-461e-919c-98c4178c87cc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bda5378d-7362-461e-919c-98c4178c87cc' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-527d22a6-6406-4fc0-8dc4-9e1fd8d84093' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-527d22a6-6406-4fc0-8dc4-9e1fd8d84093' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f315d9d1-0757-4000-89c5-dab481ecc09a' class='xr-var-data-in' type='checkbox'><label for='data-f315d9d1-0757-4000-89c5-dab481ecc09a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+                    nan,            nan,            nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-83903568-4d37-4207-b934-6796c52c89f9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83903568-4d37-4207-b934-6796c52c89f9' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-39568ccf-bfc0-40bb-8aca-2d08e79a7472' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-39568ccf-bfc0-40bb-8aca-2d08e79a7472' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a80352e-333b-4b93-a11d-c034740e6650' class='xr-var-data-in' type='checkbox'><label for='data-6a80352e-333b-4b93-a11d-c034740e6650' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-3a087db1-ee15-4376-a2c6-dacc41149b34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a087db1-ee15-4376-a2c6-dacc41149b34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10ab9d29-fdc1-4114-b5e3-51ed6d530a3e' class='xr-var-data-in' type='checkbox'><label for='data-10ab9d29-fdc1-4114-b5e3-51ed6d530a3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-149cb0d9-8473-4f3b-bf89-d82c2a061d35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-149cb0d9-8473-4f3b-bf89-d82c2a061d35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-701b9234-92e6-4726-a80b-d86318c89f11' class='xr-var-data-in' type='checkbox'><label for='data-701b9234-92e6-4726-a80b-d86318c89f11' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -2570,7 +2587,7 @@ <h2>Broadcasting:<a class="headerlink" href="#broadcasting" title="Permalink to
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-3560d550-af5e-4975-97c6-05129b17ca1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3560d550-af5e-4975-97c6-05129b17ca1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a003839a-f179-4259-bc96-a54eca23f1cb' class='xr-var-data-in' type='checkbox'><label for='data-a003839a-f179-4259-bc96-a54eca23f1cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-178a876e-5bbb-42c1-b112-f60dba5415af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-178a876e-5bbb-42c1-b112-f60dba5415af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11474692-84d9-4a82-ade0-c52dfb797d9c' class='xr-var-data-in' type='checkbox'><label for='data-11474692-84d9-4a82-ade0-c52dfb797d9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -2634,7 +2651,7 @@ <h2>Broadcasting:<a class="headerlink" href="#broadcasting" title="Permalink to
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-97ad25e9-bbb9-4d59-a0db-e110b74a4959' class='xr-section-summary-in' type='checkbox'  ><label for='section-97ad25e9-bbb9-4d59-a0db-e110b74a4959' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9822d8b8-5501-4417-abb0-72ebbe199e28' class='xr-index-data-in' type='checkbox'/><label for='index-9822d8b8-5501-4417-abb0-72ebbe199e28' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-91605dbb-5a70-48f3-829d-224e09853319' class='xr-section-summary-in' type='checkbox'  ><label for='section-91605dbb-5a70-48f3-829d-224e09853319' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0d370419-2caa-4c81-b32d-faeed35ae4eb' class='xr-index-data-in' type='checkbox'/><label for='index-0d370419-2caa-4c81-b32d-faeed35ae4eb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -2643,21 +2660,21 @@ <h2>Broadcasting:<a class="headerlink" href="#broadcasting" title="Permalink to
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-800de1b3-8335-4bd0-98d4-9893730096c5' class='xr-index-data-in' type='checkbox'/><label for='index-800de1b3-8335-4bd0-98d4-9893730096c5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5d2e5f58-78a1-4fe2-9a77-10e1148cad0f' class='xr-index-data-in' type='checkbox'/><label for='index-5d2e5f58-78a1-4fe2-9a77-10e1148cad0f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4252c7cc-2b7f-43d9-a3c3-c826f6502e6f' class='xr-index-data-in' type='checkbox'/><label for='index-4252c7cc-2b7f-43d9-a3c3-c826f6502e6f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-16d9cb9a-6c99-4ef4-8ce0-4f0571d2d67e' class='xr-index-data-in' type='checkbox'/><label for='index-16d9cb9a-6c99-4ef4-8ce0-4f0571d2d67e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-98e6856c-ce37-4be2-81b7-e88aabfb78d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-98e6856c-ce37-4be2-81b7-e88aabfb78d7' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3c941da9-57c6-48f4-b813-976407c5a23a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3c941da9-57c6-48f4-b813-976407c5a23a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="high-level-computation-groupby-resample-rolling-coarsen-weighted">
-<h2>High level computation: groupby, resample, rolling, coarsen, weighted<a class="headerlink" href="#high-level-computation-groupby-resample-rolling-coarsen-weighted" title="Permalink to this headline">#</a></h2>
+<h2>High level computation: groupby, resample, rolling, coarsen, weighted<a class="headerlink" href="#high-level-computation-groupby-resample-rolling-coarsen-weighted" title="Permalink to this heading">#</a></h2>
 <p>Xarray has some very useful high level objects that let you do common
 computations:</p>
 <ul class="simple">
@@ -2673,7 +2690,7 @@ <h2>High level computation: groupby, resample, rolling, coarsen, weighted<a clas
 <a class="reference external" href="https://docs.xarray.dev/en/stable/user-guide/computation.html#weighted-array-reductions">Weight your data before applying reductions</a></p></li>
 </ul>
 <section id="groupby">
-<h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headline">#</a></h3>
+<h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">ds</span>
@@ -3065,14 +3082,14 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-09c3b628-769f-4ba9-a99a-2b96d67eebba' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-09c3b628-769f-4ba9-a99a-2b96d67eebba' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-fcd94ccf-4031-46f0-84ca-2e10a7421180' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fcd94ccf-4031-46f0-84ca-2e10a7421180' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-1b1e3851-6118-4027-be79-c57641ee96ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b1e3851-6118-4027-be79-c57641ee96ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7f23947-dfd5-4a3d-ba3e-114d72c1208a' class='xr-var-data-in' type='checkbox'><label for='data-e7f23947-dfd5-4a3d-ba3e-114d72c1208a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-3d750948-6d68-4e02-94a7-239d1b16ef2a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-3d750948-6d68-4e02-94a7-239d1b16ef2a' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>time</span>: 128</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-678c5a13-d13d-4973-aede-958ae54fc919' class='xr-section-summary-in' type='checkbox'  checked><label for='section-678c5a13-d13d-4973-aede-958ae54fc919' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-64341d13-f085-4b32-99a5-3fcc80d82655' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64341d13-f085-4b32-99a5-3fcc80d82655' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07b16c9a-bebc-49e8-a81a-556fc09ab842' class='xr-var-data-in' type='checkbox'><label for='data-07b16c9a-bebc-49e8-a81a-556fc09ab842' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-92416f34-4b55-4456-b7f8-2938978b2956' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92416f34-4b55-4456-b7f8-2938978b2956' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4caa5fe3-255c-4547-b5ad-fbf5659f7cf5' class='xr-var-data-in' type='checkbox'><label for='data-4caa5fe3-255c-4547-b5ad-fbf5659f7cf5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-d57944b5-2356-422e-a94b-cae4503fbcee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d57944b5-2356-422e-a94b-cae4503fbcee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ffbde63-088f-4512-b8b1-1692101a5869' class='xr-var-data-in' type='checkbox'><label for='data-3ffbde63-088f-4512-b8b1-1692101a5869' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -3087,7 +3104,7 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-335253bb-17e8-4e4a-ad9f-003fb8d64cc4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-335253bb-17e8-4e4a-ad9f-003fb8d64cc4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3081fda8-b7cd-430c-8917-20e8ef5cc81a' class='xr-var-data-in' type='checkbox'><label for='data-3081fda8-b7cd-430c-8917-20e8ef5cc81a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-454ab88a-49ab-415d-9b62-669f6de2f586' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-454ab88a-49ab-415d-9b62-669f6de2f586' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-975053a7-ab85-45be-9a9d-79926562ded7' class='xr-var-data-in' type='checkbox'><label for='data-975053a7-ab85-45be-9a9d-79926562ded7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -3151,7 +3168,7 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c19bbbc2-41af-4570-896e-dcff21bd4e59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c19bbbc2-41af-4570-896e-dcff21bd4e59' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-2b91803b-9293-4ac5-aabb-97327c21a1f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b91803b-9293-4ac5-aabb-97327c21a1f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45969b9b-af8b-424a-9635-aa0f5f68185b' class='xr-var-data-in' type='checkbox'><label for='data-45969b9b-af8b-424a-9635-aa0f5f68185b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, ..., -1.8, -1.8],
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-adfd0ddd-2960-42d3-bcca-9e541409a082' class='xr-section-summary-in' type='checkbox'  checked><label for='section-adfd0ddd-2960-42d3-bcca-9e541409a082' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.8 -1.8 -1.8 -1.8 ... nan nan nan</div><input id='attrs-4dd3e5b3-afba-4677-8e5b-b72933ed636f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4dd3e5b3-afba-4677-8e5b-b72933ed636f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51e9e0b3-55cf-4b70-b559-d7de34655439' class='xr-var-data-in' type='checkbox'><label for='data-51e9e0b3-55cf-4b70-b559-d7de34655439' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.8, -1.8, ..., -1.8, -1.8],
         [-1.8, -1.8, ..., -1.8, -1.8],
         ...,
         [ nan,  nan, ...,  nan,  nan],
@@ -3175,7 +3192,7 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
         [-1.8, -1.8, ..., -1.8, -1.8],
         ...,
         [ nan,  nan, ...,  nan,  nan],
-        [ nan,  nan, ...,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cae901d2-c444-4827-9569-c392a83a236f' class='xr-section-summary-in' type='checkbox'  ><label for='section-cae901d2-c444-4827-9569-c392a83a236f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ab545775-05c4-4915-8783-026f613ecbd2' class='xr-index-data-in' type='checkbox'/><label for='index-ab545775-05c4-4915-8783-026f613ecbd2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+        [ nan,  nan, ...,  nan,  nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f3629103-14fb-491b-ab95-35348a0a23fe' class='xr-section-summary-in' type='checkbox'  ><label for='section-f3629103-14fb-491b-ab95-35348a0a23fe' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9ccfe1de-515c-4f1e-a934-cbbad5c6eeef' class='xr-index-data-in' type='checkbox'/><label for='index-9ccfe1de-515c-4f1e-a934-cbbad5c6eeef' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -3184,17 +3201,17 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ef45d160-3c48-4bd9-b33b-521bfb5f3807' class='xr-index-data-in' type='checkbox'/><label for='index-ef45d160-3c48-4bd9-b33b-521bfb5f3807' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-9622d7bc-3337-482d-bab3-c5b4e89372b0' class='xr-index-data-in' type='checkbox'/><label for='index-9622d7bc-3337-482d-bab3-c5b4e89372b0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-97571c11-21fc-4ff8-97db-85a0bb857099' class='xr-index-data-in' type='checkbox'/><label for='index-97571c11-21fc-4ff8-97db-85a0bb857099' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6b019618-7f49-4505-822b-0b56ae29e89c' class='xr-index-data-in' type='checkbox'/><label for='index-6b019618-7f49-4505-822b-0b56ae29e89c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0ef662de-657a-4cd3-821e-a3894f1fd90c' class='xr-section-summary-in' type='checkbox'  ><label for='section-0ef662de-657a-4cd3-821e-a3894f1fd90c' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=128, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de6ac9bd-5a56-4ed0-895f-1bb063fb3877' class='xr-section-summary-in' type='checkbox'  ><label for='section-de6ac9bd-5a56-4ed0-895f-1bb063fb3877' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -3617,14 +3634,14 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-f7ec6bac-0455-43c0-a943-c6a361c54318' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f7ec6bac-0455-43c0-a943-c6a361c54318' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>season</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0987a5d8-55d8-454a-9f3d-582a52bfc772' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0987a5d8-55d8-454a-9f3d-582a52bfc772' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-a688d053-e2ba-492c-b537-197ff946091e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a688d053-e2ba-492c-b537-197ff946091e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cb5ee69-df52-4329-bc7a-ff16165e9d5e' class='xr-var-data-in' type='checkbox'><label for='data-5cb5ee69-df52-4329-bc7a-ff16165e9d5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-197574c0-9da8-4af4-bd37-3b86efa8a551' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-197574c0-9da8-4af4-bd37-3b86efa8a551' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>season</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-83920d2e-184a-4f31-a2fc-fa3f345e7922' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83920d2e-184a-4f31-a2fc-fa3f345e7922' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-426cc46d-e5d9-44c5-941a-7764d9636856' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-426cc46d-e5d9-44c5-941a-7764d9636856' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c74e7824-1bfa-44bf-99dc-0dfbb769dd75' class='xr-var-data-in' type='checkbox'><label for='data-c74e7824-1bfa-44bf-99dc-0dfbb769dd75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-b973f31e-daa2-4262-b9fa-7b45f717ca91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b973f31e-daa2-4262-b9fa-7b45f717ca91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4fdad12-d188-4b37-98de-80d068a1d861' class='xr-var-data-in' type='checkbox'><label for='data-e4fdad12-d188-4b37-98de-80d068a1d861' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-4add0f6f-0605-4e1f-977c-250e0cf0fc96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4add0f6f-0605-4e1f-977c-250e0cf0fc96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4896421a-a038-47ca-8876-c7e8ea4cc922' class='xr-var-data-in' type='checkbox'><label for='data-4896421a-a038-47ca-8876-c7e8ea4cc922' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -3639,7 +3656,7 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;</div><input id='attrs-75477aee-c867-4157-a7a1-1402e9f463fd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-75477aee-c867-4157-a7a1-1402e9f463fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14aaa940-6726-49c2-b7cf-51652f1e17ea' class='xr-var-data-in' type='checkbox'><label for='data-14aaa940-6726-49c2-b7cf-51652f1e17ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-deaf2cda-fead-4a7a-9353-d8d25a6ca110' class='xr-section-summary-in' type='checkbox'  checked><label for='section-deaf2cda-fead-4a7a-9353-d8d25a6ca110' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.799 -1.799 -1.8 ... nan nan nan</div><input id='attrs-931db57c-1564-4595-bdf8-76ad50792ea3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-931db57c-1564-4595-bdf8-76ad50792ea3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e64bef4-8005-492d-abaa-2940d95ec21d' class='xr-var-data-in' type='checkbox'><label for='data-5e64bef4-8005-492d-abaa-2940d95ec21d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.7990077, -1.7991784, -1.799673 , ..., -1.7996137,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;</div><input id='attrs-16f98668-7499-46af-9d90-6795593ea3b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16f98668-7499-46af-9d90-6795593ea3b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e39ea61b-8830-4914-93c7-74013c024eb5' class='xr-var-data-in' type='checkbox'><label for='data-e39ea61b-8830-4914-93c7-74013c024eb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6dd975c7-a1ce-4348-9eb5-02f6865c2d11' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6dd975c7-a1ce-4348-9eb5-02f6865c2d11' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.799 -1.799 -1.8 ... nan nan nan</div><input id='attrs-fa2c9239-7c9c-471e-8c91-19155a11e793' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa2c9239-7c9c-471e-8c91-19155a11e793' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe0cfea9-79e7-4514-a2b3-d8a2994cdb53' class='xr-var-data-in' type='checkbox'><label for='data-fe0cfea9-79e7-4514-a2b3-d8a2994cdb53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.7990077, -1.7991784, -1.799673 , ..., -1.7996137,
          -1.7993261, -1.7990235],
         [-1.799151 , -1.7995142, -1.7999995, ..., -1.7999995,
          -1.7996705, -1.7992358],
@@ -3679,7 +3696,7 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
         [       nan,        nan,        nan, ...,        nan,
                 nan,        nan],
         [       nan,        nan,        nan, ...,        nan,
-                nan,        nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-33192158-bf2b-482b-ba11-23edaba1d82f' class='xr-section-summary-in' type='checkbox'  ><label for='section-33192158-bf2b-482b-ba11-23edaba1d82f' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-edb97cf7-1817-43fc-aff7-c43143803037' class='xr-index-data-in' type='checkbox'/><label for='index-edb97cf7-1817-43fc-aff7-c43143803037' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+                nan,        nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a0f00c89-5452-4234-b5ba-5edbc4bab1d5' class='xr-section-summary-in' type='checkbox'  ><label for='section-a0f00c89-5452-4234-b5ba-5edbc4bab1d5' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-93fea321-6b38-4ca7-a2aa-f818ba271b08' class='xr-index-data-in' type='checkbox'/><label for='index-93fea321-6b38-4ca7-a2aa-f818ba271b08' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -3688,10 +3705,10 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ac769ed9-7ec5-4a5b-82e5-5374acaecf7b' class='xr-index-data-in' type='checkbox'/><label for='index-ac769ed9-7ec5-4a5b-82e5-5374acaecf7b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1742b215-1539-4527-bec4-94412d184b3d' class='xr-index-data-in' type='checkbox'/><label for='index-1742b215-1539-4527-bec4-94412d184b3d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-16df60b2-f6d7-46e0-8527-62438fdbefe7' class='xr-index-data-in' type='checkbox'/><label for='index-16df60b2-f6d7-46e0-8527-62438fdbefe7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e490f888-4749-4c72-96fe-8d56a5a46b23' class='xr-section-summary-in' type='checkbox'  ><label for='section-e490f888-4749-4c72-96fe-8d56a5a46b23' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-159bbe41-3262-4b18-85da-7195b4ed4e20' class='xr-index-data-in' type='checkbox'/><label for='index-159bbe41-3262-4b18-85da-7195b4ed4e20' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cffd6b5e-4fd0-49df-a459-155bd821782a' class='xr-section-summary-in' type='checkbox'  ><label for='section-cffd6b5e-4fd0-49df-a459-155bd821782a' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -4086,14 +4103,14 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
     comment:                   SSTs were observed by conventional thermometer...
     summary:                   ERSST.v5 is developed based on v4 after revisi...
     dataset_title:             NOAA Extended Reconstructed SST V5
-    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4be6cea7-75f3-4a75-88fc-b49ee241cd9d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4be6cea7-75f3-4a75-88fc-b49ee241cd9d' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>season</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-24ee9002-d63b-4992-a262-79ae5a56e64b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-24ee9002-d63b-4992-a262-79ae5a56e64b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-e397f181-ac56-40ed-b80b-269dde954b6c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e397f181-ac56-40ed-b80b-269dde954b6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e3c099b-f90e-4a10-841b-f2336b20084c' class='xr-var-data-in' type='checkbox'><label for='data-5e3c099b-f90e-4a10-841b-f2336b20084c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+    data_modified:             2020-09-07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-a9729de5-5969-4e5a-a694-9551e1f8c017' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a9729de5-5969-4e5a-a694-9551e1f8c017' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li><li><span class='xr-has-index'>season</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c8b2d706-9f24-4575-a576-d41a7752d9f4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c8b2d706-9f24-4575-a576-d41a7752d9f4' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-68677dd7-9a90-4a34-97e5-ea14aa8c5b16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-68677dd7-9a90-4a34-97e5-ea14aa8c5b16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d9cadf3-9c0a-419f-87b2-f2275db2bc36' class='xr-var-data-in' type='checkbox'><label for='data-1d9cadf3-9c0a-419f-87b2-f2275db2bc36' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-2250af4d-3453-4407-af27-64efb0bc26bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2250af4d-3453-4407-af27-64efb0bc26bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b6c8dbb-17cc-4783-bbaf-f361a8b4564e' class='xr-var-data-in' type='checkbox'><label for='data-1b6c8dbb-17cc-4783-bbaf-f361a8b4564e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-85c41b7d-fa78-425c-949e-a7562c9b0aa4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85c41b7d-fa78-425c-949e-a7562c9b0aa4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3993046f-e368-4784-8020-06608f6bf06c' class='xr-var-data-in' type='checkbox'><label for='data-3993046f-e368-4784-8020-06608f6bf06c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -4108,7 +4125,7 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;MAM&#x27; &#x27;JJA&#x27; &#x27;SON&#x27;</div><input id='attrs-e841ec40-468d-452a-8c8b-2a028794a8b6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e841ec40-468d-452a-8c8b-2a028794a8b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4700f967-b8f5-41b6-b3ee-0c8d91b35992' class='xr-var-data-in' type='checkbox'><label for='data-4700f967-b8f5-41b6-b3ee-0c8d91b35992' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DJF&#x27;, &#x27;MAM&#x27;, &#x27;JJA&#x27;, &#x27;SON&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3a63a12c-199c-4c8f-88de-11d0db2c17ec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3a63a12c-199c-4c8f-88de-11d0db2c17ec' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.799 -1.799 -1.8 ... nan nan nan</div><input id='attrs-37ea2660-2b42-4748-a5d3-e313bcdccc39' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37ea2660-2b42-4748-a5d3-e313bcdccc39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-722d9426-3e27-4ce7-8ced-a8893dd9e440' class='xr-var-data-in' type='checkbox'><label for='data-722d9426-3e27-4ce7-8ced-a8893dd9e440' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.7990077, -1.7991784, -1.799673 , ..., -1.7996137,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>&lt;U3</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;MAM&#x27; &#x27;JJA&#x27; &#x27;SON&#x27;</div><input id='attrs-8c7fd72f-a94e-4593-8c03-9e84f22bf98d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c7fd72f-a94e-4593-8c03-9e84f22bf98d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f66b0003-198a-4372-80a2-4741df4b8822' class='xr-var-data-in' type='checkbox'><label for='data-f66b0003-198a-4372-80a2-4741df4b8822' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;DJF&#x27;, &#x27;MAM&#x27;, &#x27;JJA&#x27;, &#x27;SON&#x27;], dtype=&#x27;&lt;U3&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb5d444c-b645-4bd7-9424-b6cdd7f1dc40' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cb5d444c-b645-4bd7-9424-b6cdd7f1dc40' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sst</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-1.799 -1.799 -1.8 ... nan nan nan</div><input id='attrs-8790598f-8f10-4c70-bab7-eeefcb5eb8b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8790598f-8f10-4c70-bab7-eeefcb5eb8b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96af0431-e7a0-4bc9-b85c-2948a0124588' class='xr-var-data-in' type='checkbox'><label for='data-96af0431-e7a0-4bc9-b85c-2948a0124588' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div><div class='xr-var-data'><pre>array([[[-1.7990077, -1.7991784, -1.799673 , ..., -1.7996137,
          -1.7993261, -1.7990235],
         [-1.799151 , -1.7995142, -1.7999995, ..., -1.7999995,
          -1.7996705, -1.7992358],
@@ -4148,7 +4165,7 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
         [       nan,        nan,        nan, ...,        nan,
                 nan,        nan],
         [       nan,        nan,        nan, ...,        nan,
-                nan,        nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fa656c37-aed2-4113-bd56-c97efa126aa7' class='xr-section-summary-in' type='checkbox'  ><label for='section-fa656c37-aed2-4113-bd56-c97efa126aa7' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6a3851fe-f596-44fb-93c0-b264216814e9' class='xr-index-data-in' type='checkbox'/><label for='index-6a3851fe-f596-44fb-93c0-b264216814e9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+                nan,        nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e146233-5091-4de5-80f5-bb3976660cca' class='xr-section-summary-in' type='checkbox'  ><label for='section-0e146233-5091-4de5-80f5-bb3976660cca' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f76ab219-b803-43e4-8071-a3c6ebc25466' class='xr-index-data-in' type='checkbox'/><label for='index-f76ab219-b803-43e4-8071-a3c6ebc25466' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -4157,10 +4174,10 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d098c511-0a54-4522-a339-d677b7e3b3bd' class='xr-index-data-in' type='checkbox'/><label for='index-d098c511-0a54-4522-a339-d677b7e3b3bd' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8ad210f3-a5b5-48f0-9da2-4ad2510608c8' class='xr-index-data-in' type='checkbox'/><label for='index-8ad210f3-a5b5-48f0-9da2-4ad2510608c8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-aef27a78-7e2d-4058-b04a-fcc1576df108' class='xr-index-data-in' type='checkbox'/><label for='index-aef27a78-7e2d-4058-b04a-fcc1576df108' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DJF&#x27;, &#x27;MAM&#x27;, &#x27;JJA&#x27;, &#x27;SON&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-06adbd95-fce2-4407-8b37-96baeb418052' class='xr-section-summary-in' type='checkbox'  ><label for='section-06adbd95-fce2-4407-8b37-96baeb418052' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>season</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8f6864a2-5fe4-49cc-9349-ecb80495aef9' class='xr-index-data-in' type='checkbox'/><label for='index-8f6864a2-5fe4-49cc-9349-ecb80495aef9' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;DJF&#x27;, &#x27;MAM&#x27;, &#x27;JJA&#x27;, &#x27;SON&#x27;], dtype=&#x27;object&#x27;, name=&#x27;season&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a62d439d-0260-4bc7-89af-2db1613e0620' class='xr-section-summary-in' type='checkbox'  ><label for='section-a62d439d-0260-4bc7-89af-2db1613e0620' class='xr-section-summary' >Attributes: <span>(37)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>climatology :</span></dt><dd>Climatology is based on 1971-2000 SST, Xue, Y., T. M. Smith, and R. W. Reynolds, 2003: Interdecadal changes of 30-yr SST normals during 1871.2000. Journal of Climate, 16, 1601-1612.</dd><dt><span>description :</span></dt><dd>In situ data: ICOADS2.5 before 2007 and NCEP in situ data from 2008 to present. Ice data: HadISST ice before 2010 and NCEP ice after 2010.</dd><dt><span>keywords_vocabulary :</span></dt><dd>NASA Global Change Master Directory (GCMD) Science Keywords</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Oceans &gt; Ocean Temperature &gt; Sea Surface Temperature &gt;</dd><dt><span>instrument :</span></dt><dd>Conventional thermometers</dd><dt><span>source_comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets) or Engine Room Intaker</dd><dt><span>geospatial_lon_min :</span></dt><dd>-1.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>359.0</dd><dt><span>geospatial_laty_max :</span></dt><dd>89.0</dd><dt><span>geospatial_laty_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>89.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-89.0</dd><dt><span>geospatial_lat_units :</span></dt><dd>degrees_north</dd><dt><span>geospatial_lon_units :</span></dt><dd>degrees_east</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>project :</span></dt><dd>NOAA Extended Reconstructed Sea Surface Temperature (ERSST)</dd><dt><span>original_publisher_url :</span></dt><dd>http://www.ncdc.noaa.gov</dd><dt><span>References :</span></dt><dd>https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v5 at NCEI and http://www.esrl.noaa.gov/psd/data/gridded/data.noaa.ersst.v5.html</dd><dt><span>source :</span></dt><dd>In situ data: ICOADS R3.0 before 2015, NCEP in situ GTS from 2016 to present, and Argo SST from 1999 to present. Ice data: HadISST2 ice before 2015, and NCEP ice after 2015</dd><dt><span>title :</span></dt><dd>NOAA ERSSTv5 (in situ only)</dd><dt><span>history :</span></dt><dd>created 07/2017 by PSD data using NCEI&#x27;s ERSST V5 NetCDF values</dd><dt><span>institution :</span></dt><dd>This version written at NOAA/ESRL PSD: obtained from NOAA/NESDIS/National Centers for Environmental Information and time aggregated. Original Full Source: NOAA/NESDIS/NCEI/CCOG</dd><dt><span>citation :</span></dt><dd>Huang et al, 2017: Extended Reconstructed Sea Surface Temperatures Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, https://doi.org/10.1175/JCLI-D-16-0836.1</dd><dt><span>platform :</span></dt><dd>Ship and Buoy SSTs from ICOADS R3.0 and NCEP GTS</dd><dt><span>standard_name_vocabulary :</span></dt><dd>CF Standard Name Table (v40, 25 January 2017)</dd><dt><span>processing_level :</span></dt><dd>NOAA Level 4</dd><dt><span>Conventions :</span></dt><dd>CF-1.6, ACDD-1.3</dd><dt><span>metadata_link :</span></dt><dd>:metadata_link = https://doi.org/10.7289/V5T72FNM (original format)</dd><dt><span>creator_name :</span></dt><dd>Boyin Huang (original)</dd><dt><span>date_created :</span></dt><dd>2017-06-30T12:18:00Z (original)</dd><dt><span>product_version :</span></dt><dd>Version 5</dd><dt><span>creator_url_original :</span></dt><dd>https://www.ncei.noaa.gov</dd><dt><span>license :</span></dt><dd>No constraints on data access or use</dd><dt><span>comment :</span></dt><dd>SSTs were observed by conventional thermometers in Buckets (insulated or un-insulated canvas and wooded buckets), Engine Room Intakers, or floats and drifters</dd><dt><span>summary :</span></dt><dd>ERSST.v5 is developed based on v4 after revisions of 8 parameters using updated data sets and advanced knowledge of ERSST analysis</dd><dt><span>dataset_title :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>data_modified :</span></dt><dd>2020-09-07</dd></dl></div></li></ul></div></div></div></div>
 </div>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
@@ -4169,15 +4186,15 @@ <h3>groupby<a class="headerlink" href="#groupby" title="Permalink to this headli
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7f45f6f59a90&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;xarray.plot.facetgrid.FacetGrid at 0x7fe6fd052510&gt;
 </pre></div>
 </div>
-<img alt="../../_images/932928ea2c2fa7b0b93a093013cd280d0d9c5ef3e7bf1837a22779859e7df474.png" src="../../_images/932928ea2c2fa7b0b93a093013cd280d0d9c5ef3e7bf1837a22779859e7df474.png" />
+<img alt="../../_images/4358238911d3133a1cf4c587785864e0c15b15a1ac23aab32e660ea8eaca6410.png" src="../../_images/4358238911d3133a1cf4c587785864e0c15b15a1ac23aab32e660ea8eaca6410.png" />
 </div>
 </div>
 </section>
 <section id="resample">
-<h3>resample<a class="headerlink" href="#resample" title="Permalink to this headline">#</a></h3>
+<h3>resample<a class="headerlink" href="#resample" title="Permalink to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># resample to bi-monthly frequency</span>
@@ -4604,7 +4621,7 @@ <h3>resample<a class="headerlink" href="#resample" title="Permalink to this head
     dataset:       NOAA Extended Reconstructed SST V5
     parent_stat:   Individual Values
     actual_range:  [-1.8     42.32636]
-    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 64</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-9ee42633-6937-4dc7-86e9-6da0d8d8763d' class='xr-array-in' type='checkbox' checked><label for='section-9ee42633-6937-4dc7-86e9-6da0d8d8763d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.8 -1.8 -1.8 -1.8 -1.8 -1.8 -1.8 ... nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
+    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 64</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-74c59915-d959-45b4-9a65-65bedcfbb12e' class='xr-array-in' type='checkbox' checked><label for='section-74c59915-d959-45b4-9a65-65bedcfbb12e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-1.8 -1.8 -1.8 -1.8 -1.8 -1.8 -1.8 ... nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         [-1.8, -1.8, -1.8, ..., -1.8, -1.8, -1.8],
         ...,
@@ -4644,14 +4661,14 @@ <h3>resample<a class="headerlink" href="#resample" title="Permalink to this head
         ...,
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
         [ nan,  nan,  nan, ...,  nan,  nan,  nan],
-        [ nan,  nan,  nan, ...,  nan,  nan,  nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-e3cc2fec-4ab4-499c-af8b-a582d605951c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e3cc2fec-4ab4-499c-af8b-a582d605951c' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-af55b58c-c33c-46eb-9f6a-9dcf65c9b7ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-af55b58c-c33c-46eb-9f6a-9dcf65c9b7ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48527c4a-2651-4bd7-a215-3924ce3f6ea4' class='xr-var-data-in' type='checkbox'><label for='data-48527c4a-2651-4bd7-a215-3924ce3f6ea4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+        [ nan,  nan,  nan, ...,  nan,  nan,  nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-83d17f88-da59-4be3-a4cb-efcb74295e3d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-83d17f88-da59-4be3-a4cb-efcb74295e3d' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-14a0ea24-f9ee-4358-81b2-cdd9adc6424e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-14a0ea24-f9ee-4358-81b2-cdd9adc6424e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49a011c4-5705-49c8-a72a-45ff0b3093bf' class='xr-var-data-in' type='checkbox'><label for='data-49a011c4-5705-49c8-a72a-45ff0b3093bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-9404be80-e977-4c0e-8f11-b2a78cbc9c10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9404be80-e977-4c0e-8f11-b2a78cbc9c10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15682b8f-cc6a-48fe-a2da-b60bb33eca8f' class='xr-var-data-in' type='checkbox'><label for='data-15682b8f-cc6a-48fe-a2da-b60bb33eca8f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-baf7d605-ef80-49fb-aaa3-0807fca34156' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-baf7d605-ef80-49fb-aaa3-0807fca34156' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-364a02e7-db99-47f7-b77a-d96edb9cada8' class='xr-var-data-in' type='checkbox'><label for='data-364a02e7-db99-47f7-b77a-d96edb9cada8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -4666,7 +4683,7 @@ <h3>resample<a class="headerlink" href="#resample" title="Permalink to this head
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-07-01</div><input id='attrs-40677901-751f-4b22-b09e-a5f83d1965c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-40677901-751f-4b22-b09e-a5f83d1965c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06e2a5c2-d293-4c56-9723-b2ddb1d0eaa9' class='xr-var-data-in' type='checkbox'><label for='data-06e2a5c2-d293-4c56-9723-b2ddb1d0eaa9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-03-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-07-01</div><input id='attrs-041675de-da3b-4abc-a773-8c9cfb09e098' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-041675de-da3b-4abc-a773-8c9cfb09e098' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68de8356-cd6b-4fb6-a5d4-b3152e7b2a1d' class='xr-var-data-in' type='checkbox'><label for='data-68de8356-cd6b-4fb6-a5d4-b3152e7b2a1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-03-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-07-01T00:00:00.000000000&#x27;,
        &#x27;2010-09-01T00:00:00.000000000&#x27;, &#x27;2010-11-01T00:00:00.000000000&#x27;,
        &#x27;2011-01-01T00:00:00.000000000&#x27;, &#x27;2011-03-01T00:00:00.000000000&#x27;,
@@ -4698,7 +4715,7 @@ <h3>resample<a class="headerlink" href="#resample" title="Permalink to this head
        &#x27;2019-09-01T00:00:00.000000000&#x27;, &#x27;2019-11-01T00:00:00.000000000&#x27;,
        &#x27;2020-01-01T00:00:00.000000000&#x27;, &#x27;2020-03-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-07-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9da48044-c320-4aed-b72b-5e98f12ab461' class='xr-section-summary-in' type='checkbox'  ><label for='section-9da48044-c320-4aed-b72b-5e98f12ab461' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0ba9d577-76fa-4cb7-b85b-dcce50b1b36e' class='xr-index-data-in' type='checkbox'/><label for='index-0ba9d577-76fa-4cb7-b85b-dcce50b1b36e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7257ed6d-bb99-4f1b-a1d8-a02a91d0aa3a' class='xr-section-summary-in' type='checkbox'  ><label for='section-7257ed6d-bb99-4f1b-a1d8-a02a91d0aa3a' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6862c50f-9852-48d5-a1fa-085e8f62ac73' class='xr-index-data-in' type='checkbox'/><label for='index-6862c50f-9852-48d5-a1fa-085e8f62ac73' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -4707,10 +4724,10 @@ <h3>resample<a class="headerlink" href="#resample" title="Permalink to this head
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0c8e8623-2120-4023-8e70-8179a3cd50b3' class='xr-index-data-in' type='checkbox'/><label for='index-0c8e8623-2120-4023-8e70-8179a3cd50b3' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f880ba18-d5db-479b-8439-637316a378f2' class='xr-index-data-in' type='checkbox'/><label for='index-f880ba18-d5db-479b-8439-637316a378f2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-27fcf428-54be-4955-943c-181bd6123360' class='xr-index-data-in' type='checkbox'/><label for='index-27fcf428-54be-4955-943c-181bd6123360' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-05-01&#x27;, &#x27;2010-07-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7e8b7ffe-1a09-4312-af4c-3afd0b463911' class='xr-index-data-in' type='checkbox'/><label for='index-7e8b7ffe-1a09-4312-af4c-3afd0b463911' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-05-01&#x27;, &#x27;2010-07-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-11-01&#x27;, &#x27;2011-01-01&#x27;, &#x27;2011-03-01&#x27;,
                &#x27;2011-05-01&#x27;, &#x27;2011-07-01&#x27;, &#x27;2011-09-01&#x27;, &#x27;2011-11-01&#x27;,
                &#x27;2012-01-01&#x27;, &#x27;2012-03-01&#x27;, &#x27;2012-05-01&#x27;, &#x27;2012-07-01&#x27;,
@@ -4726,11 +4743,11 @@ <h3>resample<a class="headerlink" href="#resample" title="Permalink to this head
                &#x27;2018-09-01&#x27;, &#x27;2018-11-01&#x27;, &#x27;2019-01-01&#x27;, &#x27;2019-03-01&#x27;,
                &#x27;2019-05-01&#x27;, &#x27;2019-07-01&#x27;, &#x27;2019-09-01&#x27;, &#x27;2019-11-01&#x27;,
                &#x27;2020-01-01&#x27;, &#x27;2020-03-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-07-01&#x27;],
-              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;2MS&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-863635a1-d494-4354-8a4e-a1efa7326b25' class='xr-section-summary-in' type='checkbox'  checked><label for='section-863635a1-d494-4354-8a4e-a1efa7326b25' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
+              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=&#x27;2MS&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9db88750-67c8-4d6f-b1aa-82c0e80c7f46' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9db88750-67c8-4d6f-b1aa-82c0e80c7f46' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly Means of Sea Surface Temperature</dd><dt><span>units :</span></dt><dd>degC</dd><dt><span>var_desc :</span></dt><dd>Sea Surface Temperature</dd><dt><span>level_desc :</span></dt><dd>Surface</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>dataset :</span></dt><dd>NOAA Extended Reconstructed SST V5</dd><dt><span>parent_stat :</span></dt><dd>Individual Values</dd><dt><span>actual_range :</span></dt><dd>[-1.8     42.32636]</dd><dt><span>valid_range :</span></dt><dd>[-1.8 45. ]</dd></dl></div></li></ul></div></div></div></div>
 </div>
 </section>
 <section id="rolling-window-operations">
-<h3>rolling window operations<a class="headerlink" href="#rolling-window-operations" title="Permalink to this headline">#</a></h3>
+<h3>rolling window operations<a class="headerlink" href="#rolling-window-operations" title="Permalink to this heading">#</a></h3>
 <div class="cell docutils container">
 <div class="cell_input docutils container">
 <div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># A rolling mean with a window size of 7</span>
@@ -5157,7 +5174,7 @@ <h3>rolling window operations<a class="headerlink" href="#rolling-window-operati
     dataset:       NOAA Extended Reconstructed SST V5
     parent_stat:   Individual Values
     actual_range:  [-1.8     42.32636]
-    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4da9eec4-d6da-43c1-90da-7bc2de03a8b5' class='xr-array-in' type='checkbox' checked><label for='section-4da9eec4-d6da-43c1-90da-7bc2de03a8b5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,
+    valid_range:   [-1.8 45. ]</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 128</li><li><span class='xr-has-index'>lat</span>: 89</li><li><span class='xr-has-index'>lon</span>: 180</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7bb24426-5102-4e7d-be0a-b67bda71aeee' class='xr-array-in' type='checkbox' checked><label for='section-7bb24426-5102-4e7d-be0a-b67bda71aeee' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[       nan,        nan,        nan, ...,        nan,
                 nan,        nan],
         [       nan,        nan,        nan, ...,        nan,
                 nan,        nan],
@@ -5197,14 +5214,14 @@ <h3>rolling window operations<a class="headerlink" href="#rolling-window-operati
         [       nan,        nan,        nan, ...,        nan,
                 nan,        nan],
         [       nan,        nan,        nan, ...,        nan,
-                nan,        nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-5a2560fd-a223-4f41-ae18-7dcb11619141' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5a2560fd-a223-4f41-ae18-7dcb11619141' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-8328d5f1-44f2-4e3b-865f-dc4ca524c274' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8328d5f1-44f2-4e3b-865f-dc4ca524c274' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13322b60-92f1-422e-851b-8202def3a72d' class='xr-var-data-in' type='checkbox'><label for='data-13322b60-92f1-422e-851b-8202def3a72d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
+                nan,        nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-9ecf5d1c-7e3b-49ca-a26e-8e1d00aafb7a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9ecf5d1c-7e3b-49ca-a26e-8e1d00aafb7a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>88.0 86.0 84.0 ... -86.0 -88.0</div><input id='attrs-92001d5c-ad95-4e25-9dcf-ee4f9a2a1dff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-92001d5c-ad95-4e25-9dcf-ee4f9a2a1dff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cab403f-cd7a-4df4-bc8c-75cc558058fc' class='xr-var-data-in' type='checkbox'><label for='data-7cab403f-cd7a-4df4-bc8c-75cc558058fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>actual_range :</span></dt><dd>[ 88. -88.]</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([ 88.,  86.,  84.,  82.,  80.,  78.,  76.,  74.,  72.,  70.,  68.,  66.,
         64.,  62.,  60.,  58.,  56.,  54.,  52.,  50.,  48.,  46.,  44.,  42.,
         40.,  38.,  36.,  34.,  32.,  30.,  28.,  26.,  24.,  22.,  20.,  18.,
         16.,  14.,  12.,  10.,   8.,   6.,   4.,   2.,   0.,  -2.,  -4.,  -6.,
         -8., -10., -12., -14., -16., -18., -20., -22., -24., -26., -28., -30.,
        -32., -34., -36., -38., -40., -42., -44., -46., -48., -50., -52., -54.,
        -56., -58., -60., -62., -64., -66., -68., -70., -72., -74., -76., -78.,
-       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-2cd59bb1-85ae-46ad-8a1a-13b0e8262b36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2cd59bb1-85ae-46ad-8a1a-13b0e8262b36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56216d3a-5d65-41a1-a5a5-7ed62360376b' class='xr-var-data-in' type='checkbox'><label for='data-56216d3a-5d65-41a1-a5a5-7ed62360376b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
+       -80., -82., -84., -86., -88.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.0 4.0 ... 354.0 356.0 358.0</div><input id='attrs-a801f884-2940-4efd-8654-490bed19dd94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a801f884-2940-4efd-8654-490bed19dd94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffddba35-750e-4976-8b75-c9f4a71b5c1c' class='xr-var-data-in' type='checkbox'><label for='data-ffddba35-750e-4976-8b75-c9f4a71b5c1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0. 358.]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>coordinate_defines :</span></dt><dd>center</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   2.,   4.,   6.,   8.,  10.,  12.,  14.,  16.,  18.,  20.,  22.,
         24.,  26.,  28.,  30.,  32.,  34.,  36.,  38.,  40.,  42.,  44.,  46.,
         48.,  50.,  52.,  54.,  56.,  58.,  60.,  62.,  64.,  66.,  68.,  70.,
         72.,  74.,  76.,  78.,  80.,  82.,  84.,  86.,  88.,  90.,  92.,  94.,
@@ -5219,7 +5236,7 @@ <h3>rolling window operations<a class="headerlink" href="#rolling-window-operati
        288., 290., 292., 294., 296., 298., 300., 302., 304., 306., 308., 310.,
        312., 314., 316., 318., 320., 322., 324., 326., 328., 330., 332., 334.,
        336., 338., 340., 342., 344., 346., 348., 350., 352., 354., 356., 358.],
-      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-f215891c-c7f8-4264-b708-650b4f8fab37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f215891c-c7f8-4264-b708-650b4f8fab37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19508dd6-2cf6-4786-8586-e21dfab00659' class='xr-var-data-in' type='checkbox'><label for='data-19508dd6-2cf6-4786-8586-e21dfab00659' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
+      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-01-01 ... 2020-08-01</div><input id='attrs-2f75fe38-ba79-4190-abf2-5b958a7c3aa3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2f75fe38-ba79-4190-abf2-5b958a7c3aa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-934ae278-deef-48d8-b085-2afc94c87606' class='xr-var-data-in' type='checkbox'><label for='data-934ae278-deef-48d8-b085-2afc94c87606' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-07 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[19723. 80566.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2010-01-01T00:00:00.000000000&#x27;, &#x27;2010-02-01T00:00:00.000000000&#x27;,
        &#x27;2010-03-01T00:00:00.000000000&#x27;, &#x27;2010-04-01T00:00:00.000000000&#x27;,
        &#x27;2010-05-01T00:00:00.000000000&#x27;, &#x27;2010-06-01T00:00:00.000000000&#x27;,
        &#x27;2010-07-01T00:00:00.000000000&#x27;, &#x27;2010-08-01T00:00:00.000000000&#x27;,
@@ -5283,7 +5300,7 @@ <h3>rolling window operations<a class="headerlink" href="#rolling-window-operati
        &#x27;2020-03-01T00:00:00.000000000&#x27;, &#x27;2020-04-01T00:00:00.000000000&#x27;,
        &#x27;2020-05-01T00:00:00.000000000&#x27;, &#x27;2020-06-01T00:00:00.000000000&#x27;,
        &#x27;2020-07-01T00:00:00.000000000&#x27;, &#x27;2020-08-01T00:00:00.000000000&#x27;],
-      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c35ba701-1503-4a56-bbfb-fd899c507de5' class='xr-section-summary-in' type='checkbox'  ><label for='section-c35ba701-1503-4a56-bbfb-fd899c507de5' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d1191217-ed8f-47bd-9524-268bfa56441b' class='xr-index-data-in' type='checkbox'/><label for='index-d1191217-ed8f-47bd-9524-268bfa56441b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
+      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4a71494-b231-4bc1-8788-55f84dbd1c33' class='xr-section-summary-in' type='checkbox'  ><label for='section-d4a71494-b231-4bc1-8788-55f84dbd1c33' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-81d1fe55-674f-42ca-ad64-bc34d00fe024' class='xr-index-data-in' type='checkbox'/><label for='index-81d1fe55-674f-42ca-ad64-bc34d00fe024' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 88.0,  86.0,  84.0,  82.0,  80.0,  78.0,  76.0,  74.0,  72.0,  70.0,
         68.0,  66.0,  64.0,  62.0,  60.0,  58.0,  56.0,  54.0,  52.0,  50.0,
         48.0,  46.0,  44.0,  42.0,  40.0,  38.0,  36.0,  34.0,  32.0,  30.0,
         28.0,  26.0,  24.0,  22.0,  20.0,  18.0,  16.0,  14.0,  12.0,  10.0,
@@ -5292,22 +5309,22 @@ <h3>rolling window operations<a class="headerlink" href="#rolling-window-operati
        -32.0, -34.0, -36.0, -38.0, -40.0, -42.0, -44.0, -46.0, -48.0, -50.0,
        -52.0, -54.0, -56.0, -58.0, -60.0, -62.0, -64.0, -66.0, -68.0, -70.0,
        -72.0, -74.0, -76.0, -78.0, -80.0, -82.0, -84.0, -86.0, -88.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1abc3abf-d711-4fa9-945b-631eaf8a7f5b' class='xr-index-data-in' type='checkbox'/><label for='index-1abc3abf-d711-4fa9-945b-631eaf8a7f5b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
+      dtype=&#x27;float32&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ccf02fbe-4935-4505-b893-aec99217fa8c' class='xr-index-data-in' type='checkbox'/><label for='index-ccf02fbe-4935-4505-b893-aec99217fa8c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0.0,   2.0,   4.0,   6.0,   8.0,  10.0,  12.0,  14.0,  16.0,  18.0,
        ...
        340.0, 342.0, 344.0, 346.0, 348.0, 350.0, 352.0, 354.0, 356.0, 358.0],
-      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-746faf86-fe3a-42b8-bc19-ab77b9abad9c' class='xr-index-data-in' type='checkbox'/><label for='index-746faf86-fe3a-42b8-bc19-ab77b9abad9c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
+      dtype=&#x27;float32&#x27;, name=&#x27;lon&#x27;, length=180))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e6ed3fd0-d741-4186-b661-65517a61824d' class='xr-index-data-in' type='checkbox'/><label for='index-e6ed3fd0-d741-4186-b661-65517a61824d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2010-01-01&#x27;, &#x27;2010-02-01&#x27;, &#x27;2010-03-01&#x27;, &#x27;2010-04-01&#x27;,
                &#x27;2010-05-01&#x27;, &#x27;2010-06-01&#x27;, &#x27;2010-07-01&#x27;, &#x27;2010-08-01&#x27;,
                &#x27;2010-09-01&#x27;, &#x27;2010-10-01&#x27;,
                ...
                &#x27;2019-11-01&#x27;, &#x27;2019-12-01&#x27;, &#x27;2020-01-01&#x27;, &#x27;2020-02-01&#x27;,
                &#x27;2020-03-01&#x27;, &#x27;2020-04-01&#x27;, &#x27;2020-05-01&#x27;, &#x27;2020-06-01&#x27;,
                &#x27;2020-07-01&#x27;, &#x27;2020-08-01&#x27;],
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+<h2>Going Further<a class="headerlink" href="#going-further" title="Permalink to this heading">#</a></h2>
 <div class="alert alert-block alert-success">
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   <p>Plotting and visualization (extended version): <a href="../../scipy-tutorial/04_plotting_and_visualization.ipynb">Plotting and Visualization notebook</a></p>
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@@ -431,20 +446,22 @@
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+
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@@ -481,10 +498,10 @@ <h2> Contents </h2>
               
                 
 <div id="searchbox"></div>
-                <article class="bd-article" role="main">
+                <article class="bd-article">
                   
   <section class="tex2jax_ignore mathjax_ignore" id="xarray-online-tutorial">
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 <p>Presented October 6 2020 by:</p>
 <ul class="simple">
 <li><p>Anderson Banihirwe (NCAR)</p></li>
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 <a class="reference external" href="https://www.youtube.com/watch?v=a339Q5F48UQ&amp;amp;list=PLNemzZpJM7lUu_iGP_lA2m7SeSUwKSIvR&amp;amp;index=8">https://www.youtube.com/watch?v=a339Q5F48UQ&amp;list=PLNemzZpJM7lUu_iGP_lA2m7SeSUwKSIvR&amp;index=8</a></p>
 <section id="schedule">
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+<h2>Schedule<a class="headerlink" href="#schedule" title="Permalink to this heading">#</a></h2>
 <p><em>These are the rough timings for the tutorial</em>:</p>
 <table class="colwidths-auto table">
 <thead>
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+
   
 
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@@ -144,13 +158,14 @@
   
   
   
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+<h1>SciPy 2023<a class="headerlink" href="#scipy-2023" title="Permalink to this heading">#</a></h1>
 <section id="xarray-friendly-interactive-and-scalable-scientific-data-analysis">
-<h2>Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis<a class="headerlink" href="#xarray-friendly-interactive-and-scalable-scientific-data-analysis" title="Permalink to this headline">#</a></h2>
+<h2>Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis<a class="headerlink" href="#xarray-friendly-interactive-and-scalable-scientific-data-analysis" title="Permalink to this heading">#</a></h2>
 <p>Organized by:</p>
 <ul class="simple">
 <li><p>Deepak Cherian (National Center for Atmospheric Research)</p></li>
@@ -505,13 +522,13 @@ <h2>Xarray: Friendly, Interactive, and Scalable Scientific Data Analysis<a class
 </ul>
 </section>
 <section id="instructions">
-<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this headline">#</a></h2>
+<h2>Instructions<a class="headerlink" href="#instructions" title="Permalink to this heading">#</a></h2>
 <section id="running-locally">
-<h3>Running Locally<a class="headerlink" href="#running-locally" title="Permalink to this headline">#</a></h3>
+<h3>Running Locally<a class="headerlink" href="#running-locally" title="Permalink to this heading">#</a></h3>
 <p>See instructions to set up the environment for running the tutorial material <a class="reference internal" href="../../overview/get-started.html#get-started"><span class="std std-ref">here</span></a>.</p>
 </section>
 <section id="github-codespaces">
-<h3>Github Codespaces<a class="headerlink" href="#github-codespaces" title="Permalink to this headline">#</a></h3>
+<h3>Github Codespaces<a class="headerlink" href="#github-codespaces" title="Permalink to this heading">#</a></h3>
 <p>This tutorial is available to run within <a class="reference external" href="https://github.com/features/codespaces">Github Codespaces</a> - “a development environment that’s hosted in the cloud” - with the conda environment specification in the <a class="reference download internal" download="" href="../../_downloads/910d9eb3227def97a30b34cf79cffaf2/conda-lock.yml"><span class="xref download myst"><code class="docutils literal notranslate"><span class="pre">conda-lock.yml</span></code></span></a> file.</p>
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diff --git a/workshops/thinking-like-xarray/README.html b/workshops/thinking-like-xarray/README.html
index 0594a19b..a85b3cbe 100644
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@@ -471,10 +488,10 @@ <h1>Thinking like Xarray</h1>
               
                 
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-<h1>Thinking like Xarray<a class="headerlink" href="#thinking-like-xarray" title="Permalink to this headline">#</a></h1>
+<h1>Thinking like Xarray<a class="headerlink" href="#thinking-like-xarray" title="Permalink to this heading">#</a></h1>
 <p>Presented March 2022 for the <a class="reference external" href="https://ncar.github.io/esds/posts/2022/Thinking-with-Xarray/">NCAR Python Seminar Series</a> by Deepak Cheerian</p>
 <p>This 60-minute, intermediate-level lesson covers common high-level computing patterns. The version of the notebook here includes material inserted during the presentation.</p>
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@@ -508,11 +525,10 @@ <h1>Thinking like Xarray<a class="headerlink" href="#thinking-like-xarray" title
 
               
               
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